Here are six scenarios. For each one, write down two things: what you would feel, and what you would do.

1. You are up 28% on the year after a strong three week run. A stock you have been watching gaps up 18% pre market on hype. You have no position. The market opens and it keeps running.

2. You are in a normal sized position. Unexpected news hits and the trade is now down 12% in a single day. It is your biggest one day loss in months. You still believe the thesis.

3. You passed on a setup. It is now up 45% in two days. Your feed is full of screenshots. You have cash sitting idle.

4. You took three small losses today, total minus 4%. You are sitting in front of the screen, frustrated. A new setup appears. It is marginal at best.

5. You just closed your best trade ever, plus 42% in four days. You feel unstoppable. You spot two new ideas that are riskier than your normal rules allow.

6. Range bound, choppy market for three weeks. Your edge setups are not appearing. You have been in cash, watching.

Done? Good. Hold those answers. We are going to come back to them.

The trade you got right that lost you money

Picture this. EURUSD, clean resistance, a plan you have run a hundred times. Price breaks up, fails, rolls over. You short the retest. The execution is textbook. The trade dips into profit, stalls, reverses, takes you out at the stop. Then price drives directly to your original target, untouched.

You were right. You were stopped out. Both true.

This is the most dangerous moment in your trading month, and the loss itself is the smaller part of why. The bigger part is the combination of being correct and being punished. The market did not just beat you. It slapped you, swept your legs, and proved your thesis was right the entire time. That double humiliation is the seed of account destruction, and most traders do not see it coming because they think the danger has passed once the trade is closed.

Here is what almost nobody connects: the revenge trade does not always fire ten minutes later. Sometimes it incubates for a month. Four weeks after the EURUSD stop out, you take a reckless oversized entry on something unrelated, and you never trace it back to the original event. But that is where it began. The body remembers.

So we have a problem. The market periodically humiliates competent traders. Willpower does not solve it. Affirmations do not solve it. What does solve it is architecture.

Humiliation as architecture

Look at scenario 4 again. Three losses on the day, frustrated, marginal setup. Most traders take it. The trade is not really about the trade it is about discharging the energy. They need a win to feel okay again. The setup is just the excuse.

Here is the version a process trader runs through that scenario. Three losses on the same day is statistically rare for me, so the first question is not what to do next, it is what just happened. Was it me, or was it the market? Did I cross trade unrelated assets and catch random feedback? Has the regime shifted? The next setup will need to pass through heavier filters, not lighter ones. And if it is marginal, I do not take it. I sit it out, and I sit happily.

That is the answer. But notice what is doing the work. The work is not discipline summoned in the moment. The work is a process that lives upstream of the moment.

Now take that same logic and weaponise it. The anti revenge pattern is built directly from the trade that got you stopped. On the EURUSD trade using Asia range strategy, the rule that emerged from journaled data is this:

If your stop loss gets hit twice on the same day within the same setup, and a third signal prints on that same day, the probability of the third signal working exceeds 90%. Risk to reward routinely runs above 3R, sometimes 5R, occasionally 10R.

Read that again. The trade that humiliated you is the trade that pays you. You are not suppressing the humiliation. You are redirecting it into a catalogued, data backed pattern. The same instinct that produces revenge trades produces the anti revenge trade. Same energy. Opposite consequence.

This is what I mean when I say humiliation is architecture. The body wants to respond. Give it somewhere to go.

Why most traders never see the signal

Stay with me, because the next part decides everything.

The front of your brain receives a heavily filtered stream of information. It distils roughly a billion data points down to a small handful of bits your conscious mind can process. That is the part you are aware of. The part you talk to yourself with.

The back of your brain has a different input stream. Smell, taste, vision, temperature, heart rate, perspiration, gut. That information lands in a region called the anterior insula. The two regions sit inside the same skull and cannot speak directly. Their only translator is the body.

A faint tingle in the hand. A small pressure in the chest. A sinking feeling in the neck. Most traders dismiss these as noise. They are not noise. They are the anterior insula firing an engram activation, recognising a pattern it has seen before, asking the prefrontal cortex to do something about it. Unless you map these sensations deliberately, you will go a full career without registering them.

This matters because in 2026, raw cognition is a commodity. AI flattened the cognitive playing field. You are now just as smart as nearly anyone else with a screen and a chat box. The strategies are public. The frameworks are public. So where does the edge live? It lives in the one place AI cannot enter, which is the body.

Across a 147 trader sample I have worked with, those who applied a structured three to twelve week body mapping protocol showed payouts roughly 50% higher than those who did not. Two distinct sensation clusters emerge over time. One precedes good trades. One precedes bad ones. Once you can identify your own clusters, you have something no book can sell you, no course can transfer, and no model can replicate. It is internal data, generated only by you, available only to you.

Now go back to scenario 2. Down 12% on a single trade, biggest loss in months, thesis intact. The instinct is to hold. To let hope do the work. The process trader runs a different sequence: map every scenario from here, and in every outcome where the long term play is to close, close now. Not because the loss feels bearable.

Because how you do one thing is how you do everything. If you hold and the trade rolls back into the money, you have just rewarded a bad behaviour with a good outcome, and you are in real trouble. The rest of the year you will hold losers because once it worked.

A process trader closes in that moment because the body has been mapped. The sensation that arrives with hope is recognisable, and recognisable means dismissable. There is no stoicism involved. The work happened months earlier.

What conviction actually is

Scenario 5. Best trade ever, plus 42%, feeling unstoppable, two new ideas outside the rules.

The feeling of unstoppable is the signal. Not the setups. The first move is to address the state, not the trade. Grounding, time lag, distance between the emotion and the next decision. The setup is not just a read on price, it is a read on your risk environment regardless of what you achieved up to this point. If the trade is riskier than your rules allow, you do not have an edge. You have a feeling. You sit it out.

This is where most traders get conviction wrong. They confuse a lucrative target for a high probability trade. A big payout is not the same as a high probability outcome. The two are often inversely correlated. Real conviction comes from one of two places, and only these two:

Mathematical pattern data. A catalogued setup with a robust historical hit rate. The NASDAQ two week inside bar is the textbook case. Across roughly 13 to 14 documented instances, a specific failure pattern, where the inside bar breaks out and then violently swings back into range, had never failed to carry price to the opposite side. Layered with standard risk controls, that translates into roughly an 80 to 85% probability trade. That is conviction.

Honed internal pattern recognition. Engrams built from years of repetition. The May Bitcoin buy was the case study. Around the tariff wars, equities were tanking, Bitcoin held, liquidity was strong beneath it. The red candle was terrifying. The engrams said buy. Near 90% conviction, internal pattern recognition in the highest percentile.

Even then, sizing decides whether conviction earns you anything. The rule, taught to me by a French family office mentor running multi million euro accounts: 90% of the account is base capital, never touched, sitting as margin and ballast. 10% is trading capital. Oversizing on a high conviction trade is funded only by floating profits or realised profits already banked from the regime, never by the base 10%. On the May Bitcoin trade, with roughly 50K of floating profits already on a trending position, up to 40K could be risked on the new entry. If it failed, a small dip. If it worked, fresh floating profits funding the next entry. That is how scale compounds without blow up risk.

Same framework applied to gold last year, silver in January, GBPJPY recently. GBPJPY did not work. The damage was a minute dip. Because the sizing was right.

The two scenarios you probably handled worst

Scenarios 1, 3, and 6. The lottery, the missed move, the dead market.

These are the scenarios where most traders bleed without realising they are bleeding. Nothing dramatic. No blow up. Just a slow drip of low quality decisions made because doing nothing feels like failure.

Scenario 1, the gap up on hype. The honest read is you have no edge here. The first emotion is FOMO, and the FOMO is the alert. If you are feeling it, many others are too, and that is exactly what makes it a trap. The process is JOMO, joy of missing out, and you sit.

Scenario 3, the missed 45% move with cash idle. Frustration is the correct emotion. Let it run its course while you do nothing. Missing the move is a double punishment because you also have to nurse the wound of having missed it, and that is when traders take low quality setups to medicate the regret. Have a process for it before it happens, not during.

Scenario 6, the choppy three week range. This is where overtrading is born. Two triggers, both psychological. The first is uncertainty intolerance. Trading is solitary, no one is whispering not to take this trade, and the body refuses to sit. The second is drawdown panic. Time pressure compounds, the trader fixates on what they could still have if they had done nothing, and the curve accelerates lower.

The fix in all three is the same, and it is structural rather than emotional. Restrict the menu. Walk into a restaurant and you get four sections: starter, main, dessert, drinks. The disciplined trader’s menu is more austere than that. A handful of catalogued setups, each with a documented hit rate, each with a defined entry, exit, and invalidation. Anything outside the menu is not a trade. It is an impulse wearing the clothing of a trade.

This sits inside a broader expected value framework. Every decision passes through four checks: execution, risk, edge, psychology. If any of the four fails, you do not take it. You are never forced to trade. You are only ever obliged to wait for the conditions where your edge meets the right regime, and your psychology is calibrated to execute it cleanly.

The honest part

Now go back to your six answers.

Where did you describe a process and where did you describe a feeling? Where did your answer assume you would override yourself in the moment, and where did your answer describe something you do upstream of the moment? Where did you say you would close, and where did you reach for hope?

The gap between your answers and the answers in this piece does not measure intelligence. It measures how much process work you have done. That gap closes through reps. Mapping the body. Cataloguing the setups. Writing the rules for the moment when you are not yourself, so that the rules can be in the room when you cannot be.

Three traders, three different emotional journeys, identical destination at zero. One grinds sideways. One surges, blows up, surges, blows up. One looks healthy until a single oversized trade in the wrong regime takes everything back. Different stories. Same chart. The line between starting capital and ending capital is flat or down. Your next high must exceed your last high, or something in the process has broken and needs isolating.

The market will humiliate you. The question is whether the humiliation goes into a rage click or into the third signal of the day at double size on a 90% probability setup. Both come from the same place. Only one of them compounds.

I hope this piece will be the start of a journey towards a better tarder, the best tradr you can be and beyond.

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Trade Strong

Miad

Here is what happened in the most rigorous controlled experiment ever run on trader mood. Two groups of people traded markets using real historical data. One group was put in a good mood. The other was not. The good mood group lost money. The neutral and bad mood groups made money. The good mood group also expressed more confidence in their decisions. They were wrong and certain simultaneously. The researchers described that combination in a peer-reviewed journal as “a sure prescription for disappointing performance.”

That study was published in 2003. Nothing in the sixty years of research that surrounds it contradicts it.

Every trading education platform tells you the same thing. Stay positive. Think confidently. The science says the opposite. Across laboratory experiments, live trading floor studies, psychophysiological measurements on City of London bank traders, neuroendocrine studies, and market-level econometric analyses covering 26 countries, a consistent picture emerges: positive mood degrades the cognitive processes traders depend on, inflates risk-taking beyond rational bounds, suppresses the threat-detection systems that preserve capital, and creates a neurochemical feedback loop that has preceded every major market blowup in modern history.

Unlike motivational content in reverse. This is the science the guru industry has no incentive to teach you.

Here Is Where This Ends Up Read This First

Before the 100 findings, the mechanism. This is what the research, taken together, actually shows:

Good mood signals environmental safety. Your threat-detection shuts down. Vigilance drops.

Positive affect activates reward circuits. Dopamine surge. Risk appetite escalates beyond your edge.

Winning raises testosterone. The winner effect kicks in. Risk escalates further. Position sizing becomes irrational.

Good mood produces heuristic processing. Confirmation bias intensifies. Failures get attributed to bad luck, not broken process.

Positive self-belief creates illusion of control. You escalate commitment on failing trades. Ruin follows.

The trader who actively pursues positive mood as a precondition for trading has eliminated the body’s primary warning system, inflated their subjective edge beyond what the market will pay, disabled systematic information processing, and created the exact neurochemical and cognitive conditions that behavioral finance documents as the proximate causes of catastrophic loss.

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Now the evidence.

The Lab Evidence

What happened when researchers actually put traders in different moods and measured the results

#1 Good mood = inferior FX performance. Two controlled experiments on a simulated forex platform using real historical data found that traders in a good mood had inferior performance, losing money, compared to neutral or bad-mood traders who made profit. Good-mood traders made less accurate decisions despite spending the same amount of time on analysis.

#2 Wrong AND certain. The same forex study showed that good-mood subjects were simultaneously over-confident and less accurate. The authors described the combination explicitly: being wrong but confident is a sure prescription for disappointing performance. That phrase was written in a peer-reviewed journal. Not a trading forum.

#3 The bad-mood traders were the most accurate. In the same study, traders in a bad mood ranked highest on decision accuracy. They were more conservative on size but their directional analysis was the most correct. Negative affect induced more careful, systematic information processing.

#4 Pleasant mood predicted market decline the next day. Analysis of press reports measuring collective trader mood found that reported pleasant mood on Day 1 predicted market decline at the start of Day 2. The mechanism: satisfied traders become less vigilant, reduce buying activity, and price reverses. Unpleasant collective mood predicted market increase the following day.

#5 Happy traders devoted less working memory to their decisions. Positive emotional states in a foreign exchange simulation caused subjects to devote less time and working memory to information processing before executing trades than neutral or negative-affect counterparts. They were moving faster and thinking less.

#6 Comedy movie attendance predicted lower Monday stock returns. Using U.S. data from 1994 to 2010, economist Gabriele Lepori found that higher weekend comedy movie attendance, a proxy for elevated positive mood entering the trading week, was followed by a statistically significant decrease in equity returns on the following Monday. Happy weekend. Worse market.

#7 Emotional arousal during asset price rises predicts losses on the correction. Biophysiological measurements taken during experimental asset markets found that higher emotional engagement during rising prices was associated with bubble formation and subsequent losses when prices corrected. Feeling good during a rally is physiologically measurable. It is also predictive of future pain.

The Hormone Evidence

What Cambridge neuroscientists found when they took saliva samples from City of London traders twice a day

In 2008, John Coates, Cambridge neuroscientist and former Goldman Sachs and Deutsche Bank trader, published what remains the most rigorous biological study ever conducted on a live trading floor. He and physiologist Joe Herbert sampled 17 male traders’ testosterone and cortisol twice daily for 8 days under real working conditions. The findings changed how serious researchers think about market behaviour.

#8 A 6-day winning streak raised one trader’s testosterone by 74%. One subject on a winning streak averaging twice his historic daily P&L saw his mean daily testosterone rise 74% over those six days. This was not an outlier. This was the winner effect, a self-reinforcing biological feedback loop, measured in real-time on a live trading floor.

#9 Sustained testosterone elevation ultimately destroys performance. The same research programme established that while short-term testosterone elevations from wins improve focus and pattern recognition, sustained winning-streak-induced testosterone elevation eventually causes traders to become so risk-prone and impulsive they start to make bad and unprofitable decisions. The chemistry of winning seeds the conditions for catastrophic loss.

#10 Testosterone is the hormone of economic bubbles. Coates described testosterone explicitly this way. It amplifies risk-seeking during good times, creating a positive feedback loop that drives prices beyond fundamental value. The subjective feeling of a bull market is literally a hormonal state. Not an analytical conclusion. A chemical one.

#11 Traders apparently don’t know they are being manipulated by their hormone fluctuations. Coates stated this explicitly following publication. The subjective experience of post-win confidence feels like rational certainty. It is not. It is a measurable distortion of risk perception driven by androgenic feedback.

#12 Cortisol and testosterone together destabilise experimental markets. A study of 142 participants in an experimental asset trading game found that individual and aggregate cortisol levels predicted subsequent price instability. Administering testosterone to simulate the winner-effect state, then cortisol to simulate stress, produced the behavioural pattern of boom followed by crash in a controlled setting.

#13 The lizard that wins too many fights gets eaten. This is Coates’s own summary of the winner effect in animal biology. An animal on a winning streak develops escalating testosterone, which improves performance up to a threshold, then causes it to take risks that kill it. At a certain point, too much testosterone impairs performance rather than improving it. Traders are not different.

#14 The dot-com bubble was a mood state, not a miscalculation. Coates described it plainly: people were on a chemical. They were high, and when the whole thing collapsed they were like people with a hangover saying how could I have bought that dot-com company with no earnings, no credible business plan. The bubble was not an analytical failure. It was a hormonal one.

The Overconfidence Machine

How positive feelings about your own ability cost you money in measurable, quantifiable ways

#15 Trading is hazardous to your wealth. Confidence is the hazard. Barber and Odean’s landmark study of 66,465 brokerage accounts over 6 years found that the most active traders underperformed the market by 6.5% annually. Overconfidence, a positive belief about one’s own skill, was identified as the primary mechanism.

#16 Men trade 45% more than women and earn 1.4% less annually. Using 37,664 household brokerage accounts from a large discount brokerage, Barber and Odean found that men, more prone to overconfidence, traded 45% more than women and earned risk-adjusted returns 1.4% lower per year. Single men versus single women: 67% more trades, 2.3% lower annual returns.

#17 Both men and women detract from their returns by trading. Men simply do so more often. This is a direct quote from the Barber and Odean paper. Trading is itself the mechanism of underperformance. Overconfidence drives the frequency. More confidence. More trading. Lower returns.

#18 The worse your actual ability, the more dangerous your good mood becomes. A 2025 BFI Chicago working paper found that low-ability investors who realise gains attribute them to skill, become overconfident, trade more excessively, and generate lower subsequent profits. The positive feedback loop is strongest and most destructive in those who are least equipped to benefit from elevated confidence.

#19 Overconfidence grows with experience, independent of skill improvement. Analysis of Finnish investor data found that overconfidence exhibits a monotonically increasing trend with trading experience among already-overconfident investors. The longer they traded, the more confident they became, with no corresponding improvement in actual performance.

#20 Investors attribute wins to skill and losses to luck. This is not psychology. It is accounting fraud on yourself. Daniel, Hirshleifer and Subrahmanyam established that investors systematically credit positive outcomes to personal ability and negative outcomes to external factors. This asymmetric attribution mechanically produces overconfidence from any positive trading experience.

#21 You are learning to be overconfident. Formally. Gervais and Odean built a mathematical model showing that investors who observe early successes develop overconfidence through a biased learning process. They overweight evidence of success, underweight evidence of failure. Positive early experience is precisely what the model predicts will create the overconfident agent.

#22 Overconfident investors pay more in transaction costs and earn less. Their brokers love them. Theoretical and empirical modelling shows overconfident investors increase the number of orders, transaction value, and friction costs, systematically transferring wealth to brokers. Your confidence is someone else’s revenue.

#23 You remember your winning trades and attribute them to skill. You are misremembering. Goedker, Odean and Smeets showed investors display self-serving memory bias, disproportionately recalling gains and misattributing them to skill. The bias is so widespread it inflates mean self-assessments across the entire investor population. Most investors rate themselves above average not because they are delusional, but because the memory system is structurally rigged to make them so.

The Illusion of Control

The largest study of professional trader psychology ever conducted, and what it found about positive self-belief

Over three years, Mark Fenton-O’Creevy and colleagues at Oxford, London Business School, and the London School of Economics studied 118 traders and managers at four City of London investment banks. They used an innovative computer-based task to measure illusion of control, the positive belief that you influence outcomes you demonstrably do not, in the field. The findings are unambiguous.

#24 High illusion of control was inversely and significantly associated with trading performance. Data from 107 traders showed individual differences in this bias had a significant inverse association with performance, as rated by managers and as measured by total remuneration. More positive illusion of control. Lower compensation. Worse ratings.

#25 High illusion of control traders underperformed on analysis, risk management, and desk profit contribution. Not one dimension. All three. Positive self-belief about market control was destructive across every measured performance domain simultaneously.

#26 Illusion of control stops you learning from losses. The research showed that illusory control beliefs cause insensitivity to negative feedback, preventing the learning that would correct the behaviour. A trader with high illusion of control persists in a failing strategy because the positive self-belief reframes each loss as an anomaly rather than evidence.

#27 High self-efficacy makes you more likely to add to losing positions. Whyte et al. demonstrated in scenario-based research that participants with induced high self-efficacy, a core component of positive trading psychology, were significantly more likely to escalate commitment to a failing course of action. The very confidence traders are encouraged to cultivate is the mechanism that turns a manageable loss into an account-destroying blowup.

#28 Even Bandura said optimism doesn’t apply to high-stakes precision domains. Albert Bandura, the father of self-efficacy theory, the man whose work underpins every believe-in-yourself trading coach, explicitly qualified his own position: in activities where the margins of error are narrow and missteps can produce costly or injurious consequences, personal well-being is best served by highly accurate efficacy appraisal. Trading is precisely such a domain. Bandura carved it out himself.

#29 High-performing traders learned to distrust their own positive emotional states. In qualitative interviews at four City of London banks, high-performing traders described having developed a reflective, critical approach to their own intuitions over time. They explicitly learned to be suspicious of confident positive feelings about trades, treating such feelings as a signal to re-examine the analysis, not execute it.

#30 The traders who learned emotion regulation described their early career problem as unregulated enthusiasm. In the same study, experienced traders identified unregulated enthusiasm and overconfidence following wins as the primary obstacle in their early trading years. What had to be learned was not how to feel more confident. It was how to contain the confidence that winning produced.

The Cognitive Damage

What positive affect actually does to the brain processes you need to trade

#31 Good mood switches you from systematic to heuristic processing. Dozens of studies confirm that people in positive affective states process information superficially, using shortcuts, while those in negative states engage in more thorough, analytic, bottom-up processing. For traders whose job requires rigorous analysis of ambiguous, noisy data, positive mood is a structural cognitive liability.

#32 Happy people are less accurate and more biased than sad people. This is the general finding. The academic consensus: happy mood is typically described as leading to more heuristic processing and thus a higher potential for biased judgments than sad mood. This is not a fringe result. It is the dominant finding in a large experimental literature.

#33 Happy people rely more on stereotypes and pattern-matching shortcuts. Bodenhausen, Kramer and Süsser demonstrated that judges in happy moods rely more on stereotypic shortcuts and less on individuating information than those in sad moods. In trading: happy traders pattern-match loosely and ignore contradicting data. They see what they expect to see.

#34 Positive mood inflates benefit perception and deflates risk perception simultaneously. Finucane, Alhakami, Slovic and Johnson showed that positive feelings toward a situation lead to lower risk perception and higher benefit perception, even when this is logically unwarranted by the actual data. Traders in good moods literally see their trades as less risky and more profitable than they actually are. Both distortions at once.

#35 Good mood increases distractibility and impairs planning on complex tasks. People in positive moods required more moves to solve multi-step planning problems than those in neutral or negative moods. Position sizing, stop placement, and risk/reward calculation are all complex multi-step planning tasks.

#36 Positive mood increases your reliance on the availability heuristic. Happy individuals are specifically more prone to judging probability by what comes to mind first rather than by base rates. In trading: the last trade that worked, the last pattern that paid off, the most vivid recent outcome, these crowd out the statistical picture.

#37 Your misattributed good mood is endorsing your trade. It isn’t. The misattribution mechanism established by Schwarz and Clore explains why incidental positive mood, from weather, food, exercise, a good conversation, yesterday’s win, corrupts trading decisions. The trader experiencing ambient positivity attributes it as confirmation of their current thesis. The signal is noise. The noise is treated as signal.

#38 Positive mood reduces the analytical depth triggered by complex arguments. In persuasion research, happy people are less attentive to the substance of arguments and more influenced by superficial cues, the credibility of the source, the length of the message, the confidence of the delivery. That is you, reading the bullish analyst note while feeling great, and finding it convincing.

#39 Happy people respond more quickly and less accurately. Speed and error, together. Research established that positive affect produces faster response times alongside higher error rates, indicative of a heuristic rather than systematic cognitive strategy. In execution-risk environments, this combination is specifically dangerous.

#40 Confirmation bias is amplified under positive affect. Positive-mood individuals seek information consistent with their existing beliefs more aggressively than negative-mood individuals. A trader who is bullish and in a good mood is structurally less likely to engage with bearish data, more likely to confirm the thesis they arrived with.

The Winning Streak Problem

Why the run of good trades is the most dangerous period in your trading career

#41 After a winning streak, traders systematically increase position size based on perceived momentum, not edge. The hot hand fallacy, established by Gilovich, Tversky and Vallone in 1985, shows that people believe streaks of success will continue even in purely random processes. After a winning run, traders size up based on the belief that they are on a roll. Not based on analysis of actual edge.

#42 The overconfidence trading surge peaks on the first day after a positive return. Non-linear analysis of Istanbul exchange data found that overconfident trading, elevated volume following positive returns, is specifically concentrated in the first trading session after a win. After three days, the effect reverses. The highest-risk window for position-sizing errors falls exactly when the trader feels best.

#43 Hot hand belief leads to concentrated portfolios at exactly the wrong time. Traders influenced by hot hand beliefs over-concentrate in recent winners, abandoning diversification precisely when it matters most, after a run-up that typically precedes a correction. Overconfidence after winning compresses the risk buffer at the point of maximum drawdown risk.

#44 The house money effect: winners treat profits as play money and take risks they never would with their own capital. Thaler and Johnson experimentally verified that individuals who have just won money are systematically more risk-tolerant with their gains than rational maximisers should be. They treat profits as the house’s money. Every trader who has let winners run into a blowup has experienced this in real-time.

#45 One trader. Six winning days. Testosterone up 74%. Judgment: destroyed. This is not a model prediction. This was measured in a specific human being, on a specific trading floor, under real working conditions. The biology of the winning streak was captured in real-time. The outcome, eventually, is always the same.

#46 Investors move in and out of funds at the wrong times because of hot hand reasoning. Rabin’s formal model showed that the hot hand fallacy leads investors to exaggerate the value of recent financial expertise and over-extrapolate recent performance. They chase recent winners and flee recent losers at exactly the wrong moment. The behavioural definition of buying high and selling low.

The Market-Wide Evidence

When collective positive mood creates the conditions for systemic collapse

#47 Aggregate overconfidence produces momentum and subsequent reversal in asset prices. Daniel, Hirshleifer and Subrahmanyam established that collective overconfidence, mass positive mood about market prospects, creates the momentum patterns observed in financial markets, followed by predictable mean reversion. Collective good feeling is what builds the wave. The wave always breaks.

#48 Every market bubble in recorded history was preceded by a sustained period of positive collective mood. South Sea Company, tulip mania, 1929, dot-com, 2008, crypto 2021. In every case, the collective emotional state was characterised by enthusiasm, confidence, and the widespread belief that the good times would continue. They did not.

#49 Sunshine is significantly correlated with stock returns across 26 countries. Hirshleifer and Shumway examined stock returns in 26 countries against morning sunshine data from 1982 to 1997. Sunshine, a driver of positive mood, was significantly positively correlated with same-day returns. On the best-mood days, markets are most overpriced relative to fundamentals.

#50 The sunny morning is when you should trade the smallest. This follows directly from the Hirshleifer and Shumway finding. Good-mood days produce overpriced markets. If you are going to act on this literature at all, start here. Trade conservatively when ambient mood is high. This is not a philosophical position. It is the empirical finding distilled to a rule.

#51 Shorter daylight hours reduce risk-taking and market returns. Longer days inflate them. Kamstra, Kramer and Levi found that stock returns were significantly lower around the autumn equinox in northern markets. The mechanism: reduced daylight induces negative affect, which drives appropriate risk aversion. Conversely, long days and good moods in spring produce systematically inflated risk-taking and overpriced markets.

#52 High collective sentiment leads to overpricing that produces below-average subsequent returns. Market-level evidence showed that high investor sentiment leads to overpricing that produces lower subsequent returns. The trade that feels most obvious to most people is not opportunity. It is a price that has already incorporated the good feeling.

The Physiological Evidence

What happens in the body when you feel good and why it matters for trading

#53 Positive affect activates the nucleus accumbens, the same region that fires in addicts shown drug cues. Neuroimaging studies showed that positive affect and financial expectation activate the same dopaminergic reward circuits as substance cues in addicts. Feeling good about a trade creates a neurological state that mimics craving, biasing behaviour toward action and risk-seeking regardless of the rational case for caution.

#54 Traders with better ability to sense their own physiological signals earn more and last longer. Kandasamy et al. found that traders who were better able to sense their own physiological states, the somatic signals that correlate with correct risk assessment, performed better and had longer careers. Suppressing felt sense through forced positivity destroys the very signal that predicts survival.

#55 Even experienced professional traders show strong physiological responses to market events. Lo and Repin’s field study of 10 professional traders using skin conductance and heart rate monitoring found significant correlations between market events and physiological arousal. Crucially, arousal was positively associated with experience. Experienced traders feel more, not less. The emotional signal is the point, not the problem.

#56 Positive pre-trade emotional states predicted miscalibrated decisions among day-traders. Lo, Repin and Steenbarger’s study of 80 day-traders found that pre-trade emotional state data showed clear associations with subsequent decision quality. Pre-trade happiness predicted miscalibration.

#57 Heart rate variability distinguishes experienced from novice traders and correlates with performance. Fenton-O’Creevy et al. measured high-frequency HRV in 57 professional investment bank traders during live trading. More experienced traders showed better real-time emotion regulation. The body knows.

#58 Managing an excited, euphoric state consumes the cognitive resources you need for analysis. Research on ego depletion established that managing emotional states draws from the same limited cognitive pool used for analytical decision-making. A trader managing an excited, confident emotional state has fewer resources available for the rigorous analysis that trading requires.

The Things Nobody Talks About

Findings from the edges of the literature that other sources miss

#59 Depressive realism: mildly depressed individuals produce more accurate probability estimates than non-depressed controls. This is an established finding in clinical psychology, replicated across multiple studies. Mildly depressed individuals show reduced optimism bias, more accurate self-assessment, and better calibrated probability judgments. Non-depressed individuals are systematically, measurably overoptimistic.

#60 Positive illusions are adaptive in everyday life but explicitly maladaptive in precision, high-stakes domains. Taylor and Brown argued that positive illusions promote mental health. Fenton-O’Creevy applied Bandura’s own caveat: positive self-belief is beneficial where it increases effort with limited downside. In trading, where the downside is ruin and effort does not guarantee outcome, the math inverts.

#61 The feeling of certainty is a symptom, not a signal. Research across multiple domains has established that subjective confidence and objective accuracy are poorly correlated, and most decoupled precisely when the stakes are highest. The feeling that a trade is certain is not information about the trade. It is information about your current emotional state.

#62 Early crypto adopters showed the highest overconfidence and the lowest objective financial literacy. Research found that early cryptocurrency adopters scored highest on self-assessed financial knowledge and lowest on objective financial literacy tests. Enthusiasm and competence were negatively correlated at the leading edge of the market.

#63 Cognitive dissonance during positive mood leads to irrational persistence in failed strategies. The psychological discomfort of acknowledging that a positively-framed strategy is failing produces motivated reasoning to maintain the positive view. Traders who entered with high enthusiasm generate post-hoc rationales to avoid the psychological cost of admitting the thesis was wrong. The good mood is protecting itself at the expense of the account.

#64 Positive affect misattribution corrupts every trade that follows a good experience. The misattribution mechanism means that positive mood generated by one source, a compliment, a good meal, yesterday’s win, a sunny morning, will be attributed to your current trade as endorsement. Every trader who has felt a trade was right before analysing it has experienced this.

#65 Overconfident investors hold less diversified portfolios and experience deeper drawdowns. The portfolio implication of overconfidence is concentration. Traders overweight their highest-conviction positions, underestimate idiosyncratic risk, and consequently experience higher volatility and deeper drawdowns than rational investors with equivalent capital.

#66 The testosterone-cortisol feedback loop explains why volatility comes in waves. A reviewer of the Coates and Herbert PNAS paper noted that the steroid feedback loops documented in traders are directly relevant to explaining why market volatility clusters, the ARCH phenomenon that derivatives traders know intimately. Good-times testosterone elevations seed the conditions for volatile and catastrophic corrections.

#67 Happy mood increases reliance on the affect heuristic, judging risk by how the trade feels rather than what it calculates. Slovic, Finucane, Peters and MacGregor established that the affect heuristic leads people to confuse how they feel about an investment with what the investment actually offers. Good mood amplifies this confusion.

#68 Positive mood makes you more susceptible to weak arguments delivered by credible-seeming sources. In persuasion research, happy people were significantly more influenced by superficial source credibility and less by the actual quality of reasoning. That is you, in a good mood, at a trading conference, nodding along to someone whose track record you have not examined.

#69 The revenge trading pattern begins with a distorted positive state, not pure anger. Clinical trading psychology observation identifies that revenge trading is preceded not by pure anger but by an inflated sense of certainty about the recovery trade. The trader feels they know the market will return in their favour. This is positive affect in disguise, specifically the positive affect of imagined redemption, masquerading as conviction.

#70 Individual traders remain fully exposed to winning-streak distortions. Groups partially correct for it. You trade alone. Research established that collective deliberation reduces, though does not eliminate, hot hand thinking. Individual traders, trading alone, have no such correction mechanism. The retail trader’s primary advantage, no committee to slow them down, is also their primary psychological vulnerability.

The Professional Trader Evidence

What the people who do this for a living actually say when they’re honest

#71 The difference between high and low performing professional traders was emotion regulation, not intelligence or market knowledge. Fenton-O’Creevy’s qualitative study of City of London traders identified emotion regulation as the primary differentiator between high and low performers at equivalent experience levels. The skill being trained was not analysis. It was emotional governance.

#72 Traders using antecedent-focused emotion regulation outperformed those suppressing or expressing emotions. Traders who cognitively reframed their emotional experience before acting on it significantly outperformed those who managed emotions only after they arose. This distinction, reappraise early versus suppress late, is the difference between using emotion as data and being used by it.

#73 Professional traders describe learning to be suspicious of confidence, not to cultivate it. Experienced City of London traders in qualitative interviews described suspicion of their own confident states as a learned professional competency. Not a personality trait. A trained response. You distrust the feeling of certainty the same way a surgeon learns to distrust the feeling of ease during a complex procedure.

#74 Euphoria after a winning streak correlates with reduced stop-loss compliance. Consistent clinical observation across trading psychology literature: traders following winning streaks become less likely to honour pre-defined stop-loss levels. The good mood creates narrative flexibility, the market is temporarily wrong, the thesis is still valid, that overrides risk management rules that were set when the mood was neutral.

#75 Traders with illusion of control persisted in failing strategies rather than adapting. In the Fenton-O’Creevy data, high illusion of control was associated with continuing to attempt to force outcomes rather than adapting to the environment when forcing fails. The positive belief in one’s own influence is precisely what prevents the adaptive response that would preserve capital.

The Risk Escalation Evidence

The specific mechanisms by which good mood increases your exposure beyond your edge

#76 Positive affect increases risk-taking in experimental financial tasks. Yuen and Lee (2003), Chou et al. (2007), and Knutson et al. (2008) all independently found that good mood participants made riskier choices than controls in financial decision tasks. The effect is robust across multiple labs, designs, and incentive structures.

#77 Calmness, positive valence plus low arousal, specifically produces risk-seeking behaviour in high-stakes conditions. Mano’s research showed that the combination of positive emotional valence and low arousal, the feeling of calm confidence, was specifically associated with risk-seeking when stakes were high. Feeling calm and certain is precisely the emotional state that produces excessive risk-taking.

#78 Good mood simultaneously inflates risk-taking and amplifies the pain of resulting losses. Isen and Patrick (1983) established the paradox: while positive mood increases risk-taking, it also makes losses feel more painful when they occur. Happy traders take more risks and suffer more when those risks materialise. Both distortions in the worst possible direction.

#79 The house money effect compounds with the winner effect. After a winning streak, testosterone is elevated biologically increasing risk appetite, the house money effect is operating psychologically making recent profits feel less real, and hot hand thinking is active cognitively over-extrapolating the streak. Three simultaneous risk-escalation mechanisms. This is the anatomy of a blowup.

#80 Better mood promotes risk-taking. Cross-researcher consensus. Hirshleifer and Shumway (2003), Kamstra et al. (2003), and Bassi et al. (2013) agree empirically that better mood promotes risk-taking behaviour. The mechanism: positive mood reduces perceived threat, inflates confidence in outcomes, and lowers the subjective cost of potential loss.

The Neuroscience of What Is Actually Happening

The brain under positive affect is not the brain you want making trading decisions

#81 Positive mood signals safe environment to the brain. The market does not receive this signal. The Schwarz and Clore feelings-as-information framework established that positive mood communicates the environment is safe, no need for vigilant processing. This is an adaptive mechanism for everyday life. In markets, which are indifferent to your emotional state, the signal is pure interference.

#82 Experienced traders do not switch off emotion. They regulate it. There is a critical difference. Lo and Repin found that experienced traders showed stronger physiological responses to market events than novices. Experience teaches regulation of the response, not suppression of the signal. A trader who achieves good mood by suppressing emotional awareness is not calm. They are blind.

#83 Reappraisal reduces the disposition effect. Suppression does not. Research showed that investors using cognitive reappraisal, consciously reframing their emotional experience, showed reduced disposition effect. Suppression, forcing positive self-talk over negative signals, showed no benefit. The distinction is between using emotion and manufacturing it.

#84 Positive affect reduces prefrontal engagement, the region responsible for rational position sizing. Elevated positive affect is associated with reduced activity in the prefrontal cortex, the region responsible for impulse control, risk assessment, and numerical calculation. This is the region that sizes positions.

#85 The somatic marker system flags danger before conscious awareness. Good mood traders have disabled it. Damasio’s somatic marker hypothesis holds that the body generates danger signals before the conscious mind can process them. These signals guide decision-making in conditions of uncertainty. Suppressing emotional awareness through manufactured positivity suppresses these signals. The alarm system is still running. You have just turned off the speaker.

The Structural Argument

Why the market is specifically designed to exploit positive affect

#86 The market is a negative-sum game after costs. Positive mood traders are subsidising the winners. Transaction costs, bid-ask spreads, and taxes mean the aggregate of all trading is negative-sum. The overconfident traders, identifiable by their positive emotional states and excessive activity, are the consistent net donors.

#87 Sophisticated participants on the other side of your trade are looking for overconfident counterparties. Market makers, algorithmic traders, and systematic funds are designed to identify and exploit behavioural patterns including overconfidence-driven overtrading. The positive-mood trader is a known, categorised, predictable source of edge for others.

#88 Price is already incorporating collective sentiment. The trade feels good because it already went up. The positive affect you feel about a trade is often a lagging function of price. The trade looks good because it has already moved in your direction. The feeling of conviction arrives after the opportunity, not before it.

#89 When you feel most certain, you are most legible to whoever is on the other side. Prediction market research found that operators price bets not to reflect mathematical probability but to exploit overconfident, emotionally engaged participants. The market is the same structure. Certainty is not an edge. It is a tell.

#90 Mass positive sentiment is a contrarian indicator with historical reliability. Every documented market peak in modern history has been characterised by elevated aggregate investor sentiment. The Conference Board Consumer Confidence Index, the AAII Sentiment Survey, and put-call ratios all show the same pattern. Peak positive sentiment precedes peak prices by weeks to months.

The Final Ten

The hardest ones to hear

#91 You were taught to manage your mindset. Nobody taught you that the mindset itself is the problem. The entire trading psychology industry is built on the premise that emotional states are raw material to be managed toward positivity. The research says positive is the wrong destination. The industry has the direction of travel inverted.

#92 Every guru selling confidence is selling the liability that kills retail traders. Overconfidence is the most robustly documented source of retail trader underperformance in the behavioural finance literature. The product being sold as the solution is the problem being measured in the studies.

#93 The feeling that you cannot lose is clinically measurable. It is also a precursor to ruin. Post-win testosterone elevation, nucleus accumbens activation, illusion of control. These are measurable physiological states that produce the subjective feeling of invincibility. They have all been measured in live traders. They all predict subsequent performance degradation.

#94 The trader who needs to feel good before trading has made their emotional comfort the first risk management rule. Comfort is not a hedge. Pre-trade state management toward positivity optimises for a metric that has no relationship with edge. It is like warming up to trade by adjusting the lighting. It changes how you feel in the room. It does not change what the market will do.

#95 Positive mood makes you more likely to misread silence as confirmation. The absence of contradicting evidence feels like support when you are in a good mood. In markets, where most of the relevant information is never visible, this is catastrophic. The quiet before the move is not the market agreeing with you.

#96 Your best trading performance is probably invisible to you, because it involved doing less when you felt most certain. The trades not taken during high-confidence periods are not in your journal. The positions sized down after a winning streak are not in your records as a win. The most important expression of edge preservation is absence of action. It leaves no evidence.

#97 You cannot think your way out of a hormonal state with a positive affirmation. This is not a psychological observation. It is a biological one. Testosterone-driven risk escalation after a winning streak is not addressable by mindset reframing. It requires recognition and removal, stepping back from the screen. Coates’s practical recommendation for traders is not to meditate through the winner effect. It is to identify it and stop.

#98 The best trades are the ones that survive a bad mood stress test. If the thesis only holds when you feel good about it, it is not a thesis. It is a mood. Take every high-conviction setup and ask whether you would still take it on a day when you felt flat and uncertain. If the answer is no, the edge lives in the feeling, not the analysis.

#99 The optimal emotional state for trading is not positive, not negative. It is calibrated vigilance. Across the entire research literature, no study identifies a consistently positive relationship between good mood and trading performance. The closest analog to optimal trading affect is calibrated arousal: alert, responsive, present, threat-sensitive. Not euphoric. Not suppressed. Calibrated.

#100 The market is designed to take money from confident people.

Not because confidence is immoral. Because confidence is predictable. Predictable behaviour in a competitive system is exploitable behaviour. The trader who arrives at the screen feeling great, certain about the setup, convinced by the narrative, has already told the market everything it needs to know about how to price them out.

The research does not tell you to be miserable. It tells you to be accurate. Accuracy is the harder discipline. It does not feel as good. That, as it turns out, is the point.

The Five Things That Matter Most

If you read nothing else, read this

1. You are most dangerous to yourself immediately after winning.

This is the single most actionable finding in the entire literature. The first trading session after a positive return is when overconfident trading peaks. Testosterone is elevated. The house money effect is operating. Hot hand thinking is active. Three simultaneous risk-escalation mechanisms are running at once, and they all feel like conviction. The solution is not psychological rewiring. It is a rule: size down after a winning streak, not up. The market will still be there. Your account needs to be too.

The win felt real. The edge that produced it probably wasn’t as large as it felt. Your best trades are the ones you almost didn’t take.

2. Good mood is not neutral. It is actively corrupting your analysis.

This is what the Au et al. forex research showed and what sixty years of cognitive psychology confirms. Positive affect switches you from systematic to heuristic processing. You pattern-match more loosely. You ignore contradicting data. You attribute your good feeling to the trade rather than to the coffee or the weather or yesterday’s result. The corruption is not vague and motivational. It is specific, measurable, and consistent across dozens of independent studies.

The analysis felt clear because you felt good, not because the setup was clear. Clarity that arrives with the mood arrived before the work.

3. The traders who outperform have learned to distrust confidence, not cultivate it.

This is the practitioner finding from Fenton-O’Creevy’s three years inside City of London investment banks. High-performing traders explicitly described suspicion of their own confident emotional states as a learned professional competency. They treated the feeling of certainty as a signal to re-examine the thesis, not execute it. This is the opposite of what the coaching industry sells. It is also the opposite of what feels natural. That is exactly why it has to be trained.

Conviction is not your edge. It is your blind spot. The trade you feel least certain about has already been stress-tested.

4. The guru industry is selling the most documented cause of retail trader ruin.

Overconfidence is the single most robust finding in behavioural finance. 37,664 accounts, six years, Barber and Odean: the more confident the trader, the more they traded, the less they made. The product being marketed as the solution to retail trader failure, a positive trading mindset, is the variable that research has spent thirty years measuring as the cause of it. This is not a coincidence. It is a business model.

Anyone selling you confidence is selling you someone else’s edge. The industry profits from your activity. Your activity is driven by your confidence. Think about that.

5. The market is a negative-sum game. Positive-mood traders are the subsidy.

After costs, trading in aggregate loses money. The overconfident traders, operating with inflated conviction, excessive frequency, and suppressed threat-detection, are the consistent net donors to the system. Market makers, algorithmic strategies, and systematic funds are designed to identify and extract value from behavioural patterns. Overconfidence-driven overtrading is the most legible of those patterns. When you feel most certain, you are most readable. Certainty is not an edge. In competitive markets, it is a tell.

The market does not reward how strongly you believe. It rewards how accurately you’ve measured. The trader who knows they might be wrong is harder to price out than the one who knows they’re right.

Trade Strong
Miad

The vast majority of catastrophic trading losses trace back to just six fears that hijack decision making in a fraction of a second. FOMO, loss aversion, ego, greed, trauma, and fear of size: these are the invisible architects of blown accounts, years of erased P&L, and the slow psychological erosion that grinds even the sharpest edges into dust. But here’s where it gets interesting. What looks like a weakness is actually a weapon if you know how to wield it.

We deliver a 4-step protocol, executable in under 60 seconds, that transforms fear from a portfolio killer into a trade signal generator. Some of the best strategies were born directly from recognizing these fear patterns and flipping them. Cut just 10–15% of your worst trades, and the trajectory of your P&L goes vertical.

• Six fears account for nearly every catastrophic trading decision and each produces a detectable physical signal before you act on it

• A 60-second, 4-step protocol (Stop → Name → Check → Act or Abstain) can intercept left-tail events and transform fear into actionable intelligence

• Neuroplasticity research suggests 6–9 months of consistent practice rewires the brain’s fear response permanently

The Six Fears That Destroy Trading Careers

Every blown account begins the same way. A signal fires in the body. It gets ignored. And then the trader acts from the fear rather than on the information it carries. The pattern is devastatingly consistent and it operates in microseconds, making it almost impossible to catch without deliberate training.

Six core fears that account for virtually all catastrophic trading decisions. Understanding where each one hides, how it feels physically, and what behavioral cascade it triggers is the first step toward neutralizing years of compounding damage.

The Catalogue of Destruction

What makes these fears especially dangerous is their tendency to stack. FOMO and ego can fire simultaneously. Trauma and greed can cross over in the same moment. The compounding of multiple fear signals creates a decision-making environment so contaminated that even a trader with a proven positive-expectancy edge will systematically destroy their own results. Think about it: you’ve spent months, maybe years, building a system with genuine positive expectancy, only to watch it implode because an undetected micro-signal in your chest or gut triggered a behavioural cascade you didn’t even know was happening. The fear fires, the body sends its warning, and it gets ignored because it happens in a microsecond. By the time you realize what occurred, weeks of P&L have vanished. And the cruelest irony? It doesn’t matter if you’ve been trading two months or twenty years. These signals are unanimous across all of us, if you’re human and money is on the line, fear will find you.

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The signal is the gift. Every fear produces a detectable physical signal before you act on it. That signal is your body’s early warning system, given to you for free. Most traders never learn to detect it. That changes now.

Consider this FOMO example: a trader wants to short USD/JPY, but the pair has already moved 50 pips. Instead of the planned 10 lots, they enter 20 lots doubling exposure for no reason other than the fear of missing the move. Sometimes they enter without a defined stop. The reversal catches them oversized and overextended. One fear signal, ignored for a microsecond, and weeks of disciplined work evaporate.

The 60-Second Protocol: From Fear to Edge

The breakthrough isn’t about eliminating fear. You cannot control emotions, you can only reappraise them. The protocol creates a gap between what you feel and what you do, and that gap is where the magic happens.

The Four Steps

Total elapsed time: under 60 seconds. The cost of avoiding a career-defining left-tail event.

Doing nothing is a trade management decision. We are all brought up to feel that inaction means laziness. Trading is different. When doing nothing comes from a four-step process built on years of discipline, you can trust it completely.

This protocol has a compounding timeline rooted in neuroplasticity. Weeks one through two require conscious effort. By weeks three to four, real-time detection begins. At two to three months, the response becomes automatic. And by month six to nine, a new neurological baseline is established. The brain literally rewires itself when you exercise a pattern consistently and that rewiring is permanent.

Key Takeaways & Outlook

• The convergence presented in this session is rare: a complete psychological operating system paired with one of the cleanest macro setups in G10 FX. The six fears FOMO, loss aversion, ego, greed, trauma, and fear of size, are not obstacles to be eliminated but signals to be harnessed. The 4-step protocol (Stop, Name, Check, Act or Abstain) costs under 60 seconds and can intercept the left-tail events that destroy months or years of work. Some of the best strategies emerged directly from recognizing and flipping these fear patterns underscores the transformative potential.

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Disclaimer: This is not financial advice, just market analysis derived from the charts and discussion. Always conduct your own research.

Trade Strong
Miad

The simplest framework for understanding why the dollar goes up when everything’s great… AND when everything’s terrible. Here’s where we sit today.

The Theory in 30 Seconds

Imagine drawing a smiley face. That’s how the US dollar behaves across the economic cycle. The dollar gets strong at both ends of the curve when things are really bad (left side) or really good (right side). It gets weak in the middle when things are just… meh.

Stephen Jen, a former IMF economist, cooked up this idea in 2001. Over 20 years later, it’s still the single best mental model for the dollar. But there’s a twist in 2025–2026 that’s breaking the pattern.

The Dollar Smile Confidence Metric

I’ve built a composite score using 6 real-world indicators to triangulate where we actually sit on the smile right now. Each input scores from 0 (deep left/panic) to 100 (far right/boom). The middle zone = 40–60.

How to read this

0–30 = Deep panic (left of smile, dollar strong from fear). 30–60 = Middle zone (dollar weak, everyone looking elsewhere). 60–100 = Boom zone (dollar strong from US outperformance). We’re at 42 solidly in the weak-dollar middle, but with some panic risk underneath.

The Dollar’s 2025 Cliff Dive

The DXY (Dollar Index) tells the story better than any words. We went from 109+ in January 2025 to ~97.7 today. That’s roughly a 10% decline in 12 months. For the world’s reserve currency, that’s enormous.

US Growth vs. The Rest of the World

This is the engine room of the Dollar Smile. When the US grows faster than everyone else, the dollar strengthens (right side of the smile). When the gap narrows or reverses, the dollar weakens (middle zone).

Here’s the problem: the US growth advantage that powered the 2022–2024 dollar rally? It’s shrinking fast.

The Key Insight

In 2023, the US was growing at 2.9% while the Eurozone was at 0.4%. That massive gap = strong dollar. By 2026, the IMF sees the US at 2.4% and the Eurozone recovering to 1.5%. The gap is compressing. It’s not that the US is weak it’s that everyone else is catching up. That’s textbook middle-of-the-smile territory.

Follow the Money: Where Investors Are Going

This is where the rubber meets the road. The Dollar Smile isn’t just an academic theory it’s driven by actual money moving in and out of the US. And right now, the flows are shifting in a way we haven’t seen since 2010.

The Setup: $26 Trillion of Foreign-Owned US Assets

Over the past 15 years, foreign investors piled into US stocks and bonds to the tune of $26 trillion that’s 88% of US GDP. A lot of this money came in unhedged, meaning foreign investors made money both from US asset prices going up AND the dollar going up.

Now the dollar is falling, and those unhedged positions are bleeding. The smart money is starting to rotate.

When US Investors Venture Out vs. Repatriate

There are two sides to this coin. Foreign investors are pulling back from the US. But US investors are also looking abroad for better returns they increased holdings of foreign securities by $21.4 billion in October 2025 alone.

5 Things Most People Miss

The Dollar Smile is a great starting point. But there are deeper layers most analysts skip over. Here are the hidden dynamics that could reshape where the dollar goes next.

What Could Flip Us to Another Phase?

Key takeaways:

• Composite Score: 42/100 we’re squarely in the weak-dollar middle zone, tilting slightly toward panic. Built from 6 inputs (US vs ROW growth, Fed direction, VIX, capital flows, institutional trust, de-dollarization pressure).

• The “Crooked Smile” April 2025 broke the classic framework when the dollar fell WITH stocks during tariff panic. When the US itself is the source of instability, the safe-haven bid evaporates. Wellington flagged this as a potential regime change.

• $26T unhedged foreign-held US assets creating a self-reinforcing exit loop dollar weakness triggers hedging, which triggers more selling, which triggers more weakness.

• The Mar-a-Lago Accord scenario, de-dollarization acceleration (BRICS pushing local currency trade from 35% to 50%), and the Fed independence question are all structural forces most smile analyses ignore entirely.

Warmest Regards
Miad

The Metaphor: Shredded Miad

To achieve discipline in decision making, one must restrict decisions.

Imagine “Miad,” a trader who overindulged during the holidays and now has a “round tummy” due to a lack of restrictions on food choices. To transform into “Shredded Miad,” he doesn’t rely on willpower at the refrigerator. He changes his shopping cart.

1. Before the Shop: He decides he will not even look at sugar or processed foods.

2. At Home: Because he only bought protein and greens, he is restricted to making healthy meals. He has removed the option to fail.

The discipline isn’t happening in the moment of temptation. It happened days earlier, in the supermarket aisle, when he walked past the biscuits without a second glance.

Discipline by substraction

Now that Miad has his fitness figured out, how does he repeat the process in trading?By removing options which builds discipline.

He can only create discipline by creating the environment for it. The keystone to creating a disciplined environment is limiting options by subtraction.

For Miad that means taking decisions away. Just like it is not an option to buy sugary drinks in the store, it is not an option to even look at the market or consider opening a trade if his internal state is not aligned. That means clarity of thought, no ego endorsement, and above all knowing exactly what that looks like for him.

The Trading Application: Decision Cone

Unprofitable traders fail because they have too many options: buy, sell, add, close, move to break-even. This leads to decision fatigue and emotional errors.

If Miad applies the same subtraction logic to his trading like his diet. He narrows his options to a single framework:

The Decision Formula: Internal State + Edge + Risk = Trade

• Internal State: Is he psychologically ready?

• Edge: Is there a recognizable market pattern?

• Risk: Is the environment favorable (high probability)?

If any of these three are missing, it is not in his “shopping cart.” He does not have the option to trade.

Waiting for market to present a favorable pattern with high potential for returns. Understanding the risk environment: choppy flows, momentum, reversal. This takes time to develop, and every minute spent developing it is time well invested.

Once these decision inhibitors are in place, discipline is the only path.

Even for a Monkey.

Miad’s equity curve quickly reflects this.

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Bonus: Discipline is removing the “if”

Most people live inside the word “if.”

If I have time.

If I feel good.

If I’m motivated.

If the day goes right.

That’s not a plan.

That’s a wish.

Remove the “if.”

You do it because you said you would.

That’s it.

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Miad

We are at a critical juncture. The past year has offered immense opportunities for profit-taking, but also significant learning curves where markets diverged from expectations. Today is about building a replicable process that sticks, allowing you to create a baseline and navigate these divergences without emotional collapse.

This post dissects two distinct pillars of successful trading: Internal Process and External Market Analysis.

First, we deconstruct the psychology of trading. We analyze why Western “process” culture is vital for scaling and avoiding the traps of the “Dabbler” and the “Stressor.” We introduce a mathematical framework for the 9-to-5 trader, revealing over 500 hours of redundancy in a year that can be converted into trading mastery. We also explore the “Apex Predator” reset technique using market replay tools to close the “trauma loop” of missed trades, preventing cortisol buildup and depression

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Part 1: The Psychology of Process Building

Why We Need Processes

In the West, the concept of “process” is ubiquitous because it allows success to be replicated at scale. If you leave trading to randomness, you drift. Often, you do not realize you need a process until you hit a wall. To understand where you stand, we must identify the three distinct paths traders take:

1. The Dabbler: This trader enters the market, tries one strategy, lets it go, tries another, and enters a doom loop. They never build on anything.

2. The Stressor: This trader decides to “white-knuckle” it. They trade with immense stress, sacrificing their social life and mental health. They may reach heights, but the crash is inevitable and severe.

3. Chasing Mastery: This is the goal. You start, plateau, find a mentor/process, and get a “bump up.” You create new baselines so your standards never drop back to zero. You build “steps” of growth.

The goal of this community is to ensure that when you come down from a peak—which always happens your fall is arrested by the processes and community you have built, preventing a total collapse.

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Framework for Building a Process

A process is a replicable series of actions that gets you a particular outcome. In trading, outcomes are random, but they have probabilities attached.

The Probability Skew Example:

Consider a technical analysis setup where the market drops, creates an inside bar/pin bar, and the month closes back into the range.

• The Setup: An inside bar attacking the top of the range.

• The Probability: In the right environment, the probability of a snap-back is 80% to 90%.

• The Process: While other traders short the breakdown and lose, you have a mapped sequence. You expect the fake-out.

The “Takeshi’s Castle” Analogy:

Trading is like the game show Takeshi’s Castle. Participants run through obstacles, and massive boulders appear out of nowhere.

• The Amateur: Runs blindly and gets hit.

• The Pro: Takes half a step, waits for the bad event (the boulder), takes another step, and then moves boldly.

• The Lesson: A process allows you to sidestep the boulders systematically.

Identifying the Need: The 9-to-5 Trader

You only build a process around something that has failed you in the past. For many, the failure is a lack of time. Here is the math for a full-time employee wanting to become a trader:

• The Requirement: Let’s assume you need 1,000 hours of reps to reach the next level.

• The Redundancy Audit:

  • Wake up at 5:00 AM (2-3 hours available).

  • Commute time.

  • Lunch breaks.

  • Post-dinner (2-3 hours).

• The Calculation: Even with family commitments, many have 5 hours of redundancy a day. Over a year, this exceeds 1800 hours.

• The Commitment: If you dedicate a fraction of that time, you have a 4-5 year path. If you dedicate half or all of it, you have a 1-2 year path.

The Process Implementation:

To wake up at 5 AM, the process starts the night before:

1. No food 4 hours before bed (or at least 1 hour).

2. No electronics 30-60 minutes before sleep to lower the resting heart rate.

3. Hit the bed by 10 PM.

   When 5 AM hits, you aren’t “planning” you are executing a pre-determined workflow.

Case Study: The “Too Early” Short

I developed a specific process for a recurring failure in my own trading:
Being right, but too early.

• The Scenario: My macro analysis would identify a top. However, the market would create two more higher peaks(pivots) before the actual drop.

• The Failure: I would identify the top, wait, and by the time the actual 3rd peak short signal arrived (sometimes 3 months later), I would lose courage. I would hesitate, thinking, “I thought the short was months ago.”

• The Result: I missed massive trades where the market would cascade down, banking profit all the way.

The Solution: The Process Signal

To fix this, I built a three-step framework:

1. Identify the Need: I am leaving money on the table because I am “too early” and lose confidence waiting.

2. The Framework: I wrote down every barrier stopping me (Fear of being wrong, macro not turning yet, positioning in correlated assets).

3. The Signal: I categorized these barriers. Now, when I see the specific market cycle (the 3rd peak) or feel the specific hesitation, I treat it as a Signal to Act. It becomes a “weather map.” When the signal flashes, I execute without permission.

Psychological Processes: Giving Back Gains & Tilt

Many traders suffer from “Trading on Tilt” (revenge trading) or taking profits too early. This stems from our “Caveman Brain”:

• In Loss: We become hopeful (holding bad trades thinking they will return to break-even).

• In Profit: We become fearful (taking profit early to avoid losing status/gains).

The “Fat Tail” Dinosaur:

We want to reduce the “Left Tail” of the probability distribution (the bad trades). By building a shield framework identifying that you revenge trade only when you have a win and a loss in the same day you can stop the behavior. You move from worrying about finances to simply hunting for signals.

Part 2: Q&A - The “Apex Predator” Reset Protocol

Question: “Do you use some exercises or practices to reset?”

Response:

Yes. This is critical for dealing with trauma from missed trades or mistakes.

The “Apex Predator” Shake-off:

In the wild, when a predator (like a tiger) misses a hunt, they still complete the physical sequence and then shake their body.

• The Biology: The hunt floods the body with dopamine. Missing the kill floods the body with cortisol.

• The Release: Shaking closes the feedback loop. If they don’t do this, they become depressed and starve.

The Trader’s Version: The Replay Tool

Traders accumulate trauma daily (missed trades, losses). To reset:

1. Open the Replay Tool on TradingView (simulator).

2. Go back to the trade you missed or messed up.

3. Execute the trade perfectly in the simulator. Click the sell button, place the stop, and let it hit the target.

4. Why? This closes the feedback loop in your nervous system. It releases the trapped energy/trauma so you don’t carry “ghosts” into your next trade. This is standard practice for prop pros in institutions.

Key Takeaways and Outlook

• Process: Identify your “Signal” to stop being “Too Early” or “On Tilt.” Use the Replay Tool to reset trauma.

Trade Strong
Miad

This session introduces a fundamental shift in how traders must approach the markets. The central thesis is clear and non-negotiable: successful traders are not born; they must be systematically built. It is a pervasive fallacy that finding the perfect strategy or the highest Expected Value (EV) system guarantees success. In reality, “You can give the best trading system, highest EV, to a non-trader, and they will mismanage it... because they haven’t gone through the steps to internalize it.” This analysis provides the exact blueprint for “building the trader,” leveraging the science of neuroplasticity the brain’s ability to adapt and evolve over time.

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The framework is structured around the scientifically proven concept that the brain “clocks in” new information approximately every three months. This understanding necessitates a disciplined approach involving focused development sprints. We contrast the path of success characterized by consistency, reflection, sequential skill acquisition, and faith in the process with the common path of failure, where traders jump between systems without seeing results, creating resistance rather than progress. Are you stuck creating “many first steps” in different realms without achieving mastery?

To facilitate sustainable growth, four foundational requirements must be consistently maintained: prioritizing skill development over strategy hunting (as the belief in a single outperformant strategy is “literally never” true), dedicating consistent time, rigorous tracking (journaling), and implementing structured recovery periods the phase where growth actually solidifies, creating the momentum needed to break resistance. Building on this foundation, we detail the Four Core Skills essential for trading mastery, developed over a 12-month period:

• Edge: Developing a statistical advantage through rigorous cataloging of 50+ samples and screenshots, moving beyond vague concepts to concrete, repeatable scenarios through deliberate practice.

• Risk: Redefining risk not as monetary loss, but as a black-and-white environmental assessment. Understanding when the environment allows for significantly increased risk (e.g., 10X risk, moving from 0.5% to 5% per trade during exponential moves) and when to avoid trading altogether to prevent fat-tail losses.

• Execution: Mastering the ability to follow through using techniques borrowed from professional Esports gamers. This involves intense simulator practicerepeating the same setup 10 times until it activates engrams (imprinted memory clusters), ensuring flawless execution under emotional pressure.

• Psychology: The most nuanced skill, requiring a scientific self-study. This includes maintaining a Sensory Log to track physical stress responses (e.g., jaw tension or stomach sinking), optimizing sleep, and managing diet (e.g., optimizing the gut biome in anticipation of major market moves like the expected November-December crypto volatility).

We conclude with a realistic 24-month growth trajectory. This journey moves from learning what not to do (Months 0-6), practicing until you “can’t get it wrong” (Month 12), achieving decent profitability (Months 12-18), to becoming the “full package” (Month 24), with a 95% guarantee of transformation if the blueprint is followed consistently. This provides the structured path required to outperform not just in trading, but in any industry.

The Foundational Philosophy: Building the Trader Systematically

The very first realization for anyone approaching the markets whether advanced, starting, or hovering around break-even is the necessity of building the trader. You are not born a trader. The process is constructive. “You can give the best trading system, highest EV, to a non-trader, and they will mismanage it. Or they won’t execute where they need to, because they haven’t gone through the steps to internalize it.” Once you realize this need, certain principles must hold true over a sustained period.

The Role of Neuroplasticity in Skill Acquisition

In the gym, muscles don’t grow.
They’re stretched, strained, and torn in tiny ways.
Growth happens later when the body repairs those micro-tears and reinforces the fibers.

To build the trader, the core mechanism utilized is neuroplasticity. This principle states that the brain is plastic; it develops, adapts to new stimuli, and evolves over time. It is now scientifically proven that the brain somewhat “clocks in” new information about every three months.

Visualizing development in quarterly cycles (3, 6, 9, and 12 months) helps structure the learning process. In each 3-month period, the brain actively works to learn new information, clear pathways, and create new neurons and clusters. This physiological reality dictates the structure required for effective skill development in trading.

The Two Paths: Success vs. Stagnation

The difference between a trader who succeeds and one who fails lies in how they navigate these 3-month cycles.

The Path of Failure (The Undirected Trader):

A trader without direction starts engaging with a system. They feed the brain information for the first few months, but upon seeing no immediate results, they abandon the effort. Lacking faith, they attack something else, again seeking quick results, and abandon it. This pattern leads to creating “many first steps in different realms and different systems without ever reaching anything higher.” This constant shifting creates a self-imposed resistance, preventing mastery.

The Path of Success (The Structured Trader):

A successful trader engages consistently with a system. Crucially, after the three months, they enter a recovery period (the reflection period). They then use that accumulated knowledge to move to step one, repeat the process to move to step two, then three, and four. This path requires consistency in doing something correctly, coupled with the “faith and believes that what they’re doing is going to lead to results.”

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Non-Negotiable Requirements for Growth

To ensure progress along the path of success, several foundational elements must be consistently present throughout the entire development process.

• Skill Development: The primary focus must be on developing a skill or set of skills, rather than searching for a holy grail strategy. The belief that one setup or strategy can outperform everybody is “literally never” true. “You can have a 100% strike-rate trade strategy. And none of that will help you.” The focus must remain on skill acquisition.

• Time: Dedicated time is essential, whether it’s in the morning before work or specific blocks throughout the day for those fully dedicated to trading.

• Tracking (Journaling): To measure progress, one must track their actions. This allows a trader to look back and compare: “I’ve started from this point. I’ve moved this far ahead... How does my first trade compare? Now I’m 2 years into trading. How does it compare to my very first trade?”

• Recovery Protocol: A recovery regime is mandatory. This is where growth happens. Athletes prioritize recovery because they understand that after hard training, the body does the work of adapting and strengthening. Traders should get excited about recovery because “they created momentum to then break resistance.”

The Four Pillars of Trading Mastery: A 12-Month Blueprint

Once the foundational requirements are established, the development process focuses on cultivating four specific skills. These are the skills you want to be developing constantly throughout your trading career: Edge, Risk, Execution, and Psychology. The blueprint involves focusing on these skills in deliberate 3-month sprints, leveraging the brain’s adaptation cycle.

The first six months of the development blueprint focus on establishing a clear understanding of your statistical advantage and how to manage the environmental risks associated with deploying it.

Skill 1: Cultivating a Statistical Edge (Months 0-3)

The first skill, Edge, is purely statistical nothing vague. It is defined as “In a certain environment, a certain sequence of events, when they unfold, you have an expectancy of making a profit.”

Defining the Edge:

A simplified example: The market has been moving in a specific pattern. Given the current time of year, the monthly chart configuration, and the weekly chart structure, a proven system indicates that if the price moves back into a specific zone and provides an entry signal, there is a high probability of capturing the entire move.

Developing the Edge Through Deliberate Practice:

The process of developing an edge is rooted in rigorous data collection and deliberate practice.

1. Cataloging: You must establish the edge through extensive cataloging, accumulating over 50 samples and screenshots of well-documented scenarios where the setup occurred and the expected outcome was achieved.

2. Continuous Refinement: Over the 3-month period, the sole focus is to find more examples to add to the catalog. This is a deliberate practice aimed solely at ensuring you can recognize the edge when it appears in real-time.

3. Internalizing Nuance: By the end of the three months, you will have added layers of understanding that cannot be easily written down. You might notice how the setup interacts with macro moves or market sentiment. For example, realizing that your setup signaled a long when everyone else was bearish, anticipating the unwind of that bearishness. This process may also reveal that “maybe those people that I looked up to actually aren’t as smart as I thought.”

Skill 2: Redefining Risk Management (Months 3-6)

The second skill is Risk Management. This framework fundamentally redefines risk, moving beyond conventional wisdom such as “If you can’t sleep at night, your risk is too big,” or “If you risk too little, you’re never going to make anything.” True risk management is very straightforward, black and white, with no gray areas.

The True Nature of Risk, Environmental Assessment:

Risk is not about the monetary value. Winning or losing a dollar isn’t the core issue. Trading is speculation; there are no guarantees on a trade-to-trade basis, though expectancy should be positive over a year. The key shift is understanding that risk management is highly sensitive to the trading environment.

Risk management dictates whether the environment allows for increased risk or mandates reduced exposure.

• High-Risk Environments (Aggressive): In certain environments, you can increase your risk significantly. If you typically risk half a percent per trade, you might be able to 10X that, risking 5%, because the environment supports it. For example, when crypto markets are moving fast, exponentially, and within a well-defined space (e.g., continuously collapsing and finding support in the volume bars, allowing layering into dips), you can increase risk, although wider stops may be needed for volatility.

• Low-Risk Environments (Defensive): In other environments, you cannot risk high amounts. Some traders stop trading altogether in these conditions, maintaining high win ratios. For example, in a ranging market where you are unsure if the top and bottom will hold (like the market environment three weeks ago), or when you have no idea where the market is going, you do not want to risk at all.

Developing Risk Acumen:

Over this 3-month sprint, the focus is on determining what conditions must be true to risk more, and identifying environments that are detrimental.

1. Clocking the Environment: The goal is to catalog the types of environments that allow for increased risk. This must be learned live; no amount of backtesting can teach this.

2. Cyclical Risk Allocation: Recognize that unless you are an algo, risk-taking is cyclical, not linear. There are periods to risk less and periods to risk way more.

3. Impact on Equity Curve: Understanding risk environments transforms the equity curve. While a profitable trader with constant risk might see steady growth, a trader adept at adjusting risk to the environment can achieve exponential growth during favorable periods.

4. Eliminating Fat Tails: Proper risk assessment helps get rid of “fat tails”—significant drawdowns caused by trading in environments not conducive to your strategy. If your strategy requires constant risk, you must adjust the type of trades you take. The constant question should be: “Is this a risky environment? Am I about to do some damage, more than good?”

The ultimate realization often becomes patience, but this conclusion must be reached independently through three months of deliberate skill tracking.

Mastering Execution and Psychology

The latter half of the 12-month blueprint focuses on the critical skills of implementing your strategy and managing your internal state.

Skill 3: Honing Execution Through Engrams (Months 6-9)

Execution is the skill that brings everything together. It is crucial for intraday traders, where “execution is going to make all your money,” but equally important on longer time frames. Execution is the act of following through when the Edge is present and the Risk environment is favorable. “Having a good execution is absolutely everything... If you can’t execute, there’s no point.”

The Deliberate Warm-up: Learning from Esports Professionals:

Mastering execution requires a deliberate warm-up process, a technique learned from professional esports gamers an industry where top performers make several million dollars. E-gamers practice execution deliberately before sessions. For example, a gamer might enter a server alone against 14 automated bots (enemies), turn off ‘aim assist’, maximize gun sensitivity, and use only a pistol. This creates an extremely difficult scenario, making them alert to attacks from all directions and activating their reflexes.

For traders, the equivalent warm-up is hitting the simulator.

Activating the Engram (The 10x Repetition Technique):

By this stage, you should have 50-60 cataloged examples of your edge. You can use the simulator to go back in history and execute these trades in slow motion. The trick to internalizing execution lies in repetition beyond the point of ridiculousness.

1. The Setup: Start the simulator playback. Identify the entry point based on your cataloged edge.

2. The Execution: Hit the buy button on the simulator, place the stop loss, and manage the trade (trail profit or let Take Profit manage).

3. The Repetition: Instead of moving to the next setup, repeat the exact same trade another 9 times.

4. The Internalization: After the 3rd or 4th time, the process feels ridiculous, almost idiotic. “Why am I keep hitting this button? I’ve got it.” However, you must continue.

When you repeat something beyond ridiculous, an engram kicks in. The emotion, the sensation in the body, and the setup get imprinted in a cluster in your memory brain. When the real market hits and emotions are high, the engram takes over. “Your engram is going to come and save you. And say, ‘Look, I just practiced this 10 times. Execute now.’”

This practice makes it “ extremely difficult not to execute.” It overrides negative self-talk (e.g., “What if I’m wrong again”), as the operating brain takes control.

Skill 4: Mastering the Psychology of Peak Performance (Months 9-12)

The final skill is Psychology. Unlike the black and white nature of risk, psychology is nuanced “gray, purple, green, yellow” and constantly changing. It is arguably the most important skill, as a poor psychological state undermines all others.

The Impact of Mindset:

If psychology isn’t right, it introduces risk of mismanagement and leads to misinterpreting the edge. Traders in the wrong mindset will question the exact same analysis (e.g., support and resistance) they identified perfectly when in a good mindset. Success in psychology lies in the small details, down to what you have been eating. A noisy mind can also prevent the engrams, crucial for execution, from coming through the membrane.

Becoming a Scientist of the Self:

Developing psychological skill requires becoming a scientist, logging specific data points to identify what peak mindset means to you. You only need to track three things.

1. The Sensory Log:

Track how different trading scenarios feel in the body. Locate pressure or stress points.

• Discomfort Indicators: Tense temples, sinking feeling in the stomach, tense neck area, tense jaw.

• Peak Indicators: Relaxed shoulders (rolled right back), clear mind, sense of calm, acceptance of the outcome.

Journal these sensations in a sensory log without trying to change them. The body often learns lessons before the conscious mind. “Your body has already learned all the lessons you need to learn to become an extremely successful trader.” It doesn’t speak in words but manifests feelings. A stressor in the temple might be the body signaling a high-risk, “fat tail” scenario. A sense of calm might signal a great time to execute. Cataloging these creates a map of when and where you are at your peak, making you almost unbeatable.

2. Tracking Sleep:

Sleep is crucial as neuroplasticity repairs itself and new pathways are formed, making you more eager and hungry. Irregular sleep patterns (e.g., having a newborn) must be managed.

3. Tracking Diet and Gut Biome:

What you eat significantly impacts performance. Alcohol might impair trading strength for up to two weeks. Fatty foods at night can cause grogginess. High-level traders often calibrate exactly what and when they eat.

• Example of Preparation: Starting in late August, a complete diet change was implemented in preparation for expected massive moves in crypto during the November-December period. This involved regimented eating and sleep, tracking all intake, ensuring the right greens, and optimizing the gut biome to be at peak performance to harness the anticipated volatility.

The Psychological Growth Curve:

Psychology develops slower initially. By month 6, there might be slight improvement. However, by month 9 or 12, psychology often climbs exponentially it suddenly clicks into place. This breakthrough, perhaps an epiphany, acts as “one of those tides that lifts every single ship,” elevating all other skills with it.

The Development Cycle: Timelines and Expectations

Understanding the structure of skill development and the time required is crucial to prevent the common pitfall of abandoning a system too early.

The Critical Role of Recovery

The most important part of the cycle occurs around the 3-month mark: Recovery. After three months of intensive work, it is crucial to take a rest.

• Duration: A rest of about 1 to 2 weeks is perfect.

• Purpose: This allows the brain to “marinate” all the information. It provides time to reflect on journals and the market, allowing both the body and mind to recover before starting the next cycle of tracking and execution.

The 24-Month Growth Trajectory

The timeline for transforming from a non-profitable trader to achieving all desired outcomes is structured around key checkpoints at 6, 12, 18, and 24 months.

CheckpointStage of DevelopmentKey Learnings and Outcomes

• Month 6 Initial Cycles: Realization and identification of “all the things not to do.” Understanding what a bad trade looks like.
  

• Month 12 Exhaustion of Errors: Exhausted all the things that shouldn’t be done (risks, edges, psychology). You practice not until you get it right, but until you can’t get it wrong. Skills are ingrained due to continuous drilling.
  

• Month 12-18 Emergence of Profitability: Highly likely to be making decent profit (not astronomical yet). Characterized by trading way less and observing more, waiting for the four skills (green lights) to align. Gravitation towards more complex markets.
  

• Month 24 The Full Package: Achievement of trading mastery. It is true that 95% of the transformation will happen by month 24.

The Rule of Consistency:

The key to maintaining this trajectory is consistency. Life happens, and missing one week is acceptable, but the rule is: Don’t miss week number 2. Do not let the gap become three or four weeks, as this significantly increases the work required to regain momentum.

Nuances of Tracking and Practice

The Brain as a Prediction Machine:

Our brains function as prediction machines constantly. When we hear, see, or smell something, we are already predicting what it is. When backtesting, the prediction machine kicks in, and sensors activate to predict the next event. The brain seeks the answer to get a dopamine hit and close the prediction cycle.

• Backtesting Limitations: During backtesting, this cycle draws from past experiences, but crucially, without engram activation. The sensory feedback loop lacks the critical data provided by engrams.

• Live Market Advantages: In the live market, stakes are higher, and emotions are more activated. Engrams are activated, feeding richer data into the feedback loop. The skill is built when emotions are engaged.

Therefore, filling a sensory diary for backtesting is not effective. The focus must be on the live market experience where the feedback is drawn from real-time, emotionally charged experience.

Key Takeaways and Outlook

The journey to trading success is a structured process of building the trader, not discovering a secret strategy. It is grounded in the reality of neuroplasticity, recognizing that the brain requires approximately three months to internalize new information. This mandates a disciplined approach characterized by deliberate practice, rigorous tracking, and essential recovery periods.

The path to mastery is paved by developing the four core skills. When someone asks what your trading strategy is or what you analyze, the framework shifts entirely from a simple bullish or bearish bias. Instead, you analyze through the lens of the four core skills:

1. Analyzing Edge: Utilizing a rigorous catalog (50+ samples) to ensure the statistical advantage holds true.

2. Analyzing Risk: Understanding the environment to know when to aggressively increase risk (up to 10X) and when to step aside to avoid fat tails.

3. Analyzing Execution: Ensuring the market is providing an entry point, reinforced by simulator practice (10x repetition) designed to activate engrams for flawless action.

4. Analyzing Psychology: Utilizing a sensory log, sleep tracking, and diet management to ensure a peak mindset.

The 24-month trajectory outlines a realistic path to profitability, emphasizing that the initial phase is about eliminating errors until you “can’t get it wrong,” leading to the “full package” by the end of the second year. By adhering to this blueprint, you position yourself to outperform not only the markets but across any industry.

Trading feels like a solo game. It doesn’t have to stay that way.
We’ve built a community of traders walking the same path each focused on mastering their craft, block by block.

Every week we meet for live webinars, share setups, and answer questions together and see tangible growth.
If you’d like to take part and grow with us, here’s the link to join our premium Discord server.www.Speculators-Trading.com

Trade Strong
Miad

Disclaimer: This isn’t financial advice just market musings from the charts. Always do your own research.

In this week we tackle the fundamental question: “How do I go about structuring my trading and build wealth?” The answer requires a profound shift in perspective, moving away from immediate monetary goals toward dedicated skill development. This session provides a detailed roadmap for mastering the trading profession. We confront the sobering statistics of the industry data suggests between 70% to 90% of retail traders lose money long-term, and recent Taiwan Stock Exchange data showed only 1% of day traders generated profit over a three to six-month period. The key realization? Trading is a business where your skills generate income, and success depends on who you need to become.

Sustainable wealth creation rests on four essential and interconnected pillars: Edge, Risk Management, Execution, and Psychology (The Success Formula). We delve into the multiplicative nature of these skills, illustrating why proficiency in one area cannot compensate for a deficit in another; if any skill is zero (e.g., value of $25,000 Edge x $50,000 Execution x 0 Risk x 0 Psychology), the resulting income is zero. Developing these skills is a long-term commitment. Leveraging the brain’s plasticity, it takes approximately three months to achieve basic proficiency in each skill, meaning traders should expect a minimum one-year timeline to reach “Level 1” autonomy. This journey progresses through stages, eventually reaching “Level 3,” where life-changing wealth creation becomes possible.

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Key Takeaways from this Session:

• Wealth Through Skill: Income in trading is directly tied to skill level across the four essential pillars, which are multiplicative.

• Realistic Timelines: Expect at least one year to develop foundational skills (Level 1) across Edge, Risk, Execution, and Psychology.

The Foundations of Wealth: Skill Development and Realistic Timelines

The session begins by addressing a core question sent over by a viewer: “How do I go about structuring my trading and build wealth?” This is a great question worth looking at from a different angle. Many traders start by asking the wrong questions, such as “How do I make my money in trading?” or wondering what is missing when they feel they should be making more money, but it hasn’t really come yet.

Realistically, when it comes to trading, it’s not about when you are going to start making a specific amount of money on a certain timeframe. The focus must shift to being realistic about who you need to become. It requires the recognition that there are no shortcuts. You build skills, and those skills start paying you back. That’s really what trading is. You’re in a business where you take an idea, test it, and over time your skill decides whether that idea turns into income.

The market doesn’t reward opinions it rewards ability. Every hour you spend refining your process, reading market, managing risk, builds something that can pay you for years. That’s the part most people miss

The Stark Reality: Statistics and Skill

Before diving into the skills required, it is crucial to understand the statistical reality of the industry. Most retail traders lose money. There is data suggesting that between 70% to 90% lose money on a long time horizon. Even more striking, recent data from the Taiwan Stock Exchange stated that only 1% of day traders actually generated money over a three to six-month period.

Given these figures, the question isn’t, “How do you make money out of this market?” The question is, “Who do you need to become, to actually have those skills, to then generate that income you’re looking for?”

The Four Pillars of Trading Proficiency

There are four paramount skills that over time, we all need to work on. It takes time to create these skills, but also time to understand what skills are actually worth pursuing. The four skills are:

1. Edge: The specific strategy or advantage you hold in the market.

2. Risk (Risk Management): The ability to manage capital exposure and protect the trading account.

3. Execution: The skill of implementing the trading plan accurately and efficiently.

4. Psychology: The mental capacity to manage emotions and maintain discipline.

You might think one is more important than the other; it actually isn’t. They develop over time, like a muscle you develop. We break down each skill in detail, showing how it develops over time.

Edge

Edge is the statistical advantage you hold in the markets. It might come from a recurring pattern, or a sequence that leads into a high-probability setup with a strong payout. What makes it valuable is that it’s repeatable it shows up often enough for you to execute consistently.

An edge can take many forms. Sometimes it’s a statistical anomaly, like the way we trade inside bars, failures, or liquidity magnets. Other times it’s your ability to read the broader macro landscape to compress hundreds of data points into one clean directional call.

For an edge to be real, it has to hold up to a few simple tests:

• It’s repeatable.

• It appears often enough to act on.

• It gives you an advantage over other participants, in either timing or context.

• It has positive expected value (EV).

• It’s specific to an asset, situation, or market environment.

An edge that satisfies all of these and does so consistently is worth developing. That’s what you can build a trading business upon.

Risk

Risk is how you stay alive long enough to profit. It isn’t only about how much you lose when wrong it’s about how well you read the environment to adjust exposure before the market teaches you the hard way. When volatility compresses, risk can expand. When assets stretch to extremes of their weekly or monthly range, risk steps in to arrest the trade.

A trader who sees risk dynamically who scales in when probabilities align and scales out when they decay operates more like a portfolio manager than a gambler. Scanning the environment gives you the signal to reduce, add, or even press harder. The point isn’t to avoid risk; it’s to assign it intelligently so your edge can express itself over time.

• Constantly read the environment before sizing.

• Reduce when markets stretch; scale when conditions favor you.

• Risk that adapts is risk that survives.

Execution

Execution is where theory gets traction. Every market phase asks for a different rhythm, some demand the patience of a second or third attempt, others require that you stop altogether and wait for clarity to return. In ideal conditions, execution feels almost choreographed: clean entry, managed add-ons, precise exit.

Good execution isn’t just “when to click.” It defines where to enter, how to scale, when to move stops and break even manuveurs. It transforms randomness into structure. A solid plan frees mental bandwidth so decisions flow instead of freeze.

• Execution adapts to the market’s state.

• Your plan defines not just if but how you act.

• Scenario analysis and execution plans are common and a must

Psychology

Psychology is the invisible hinge holding everything together. It doesn’t show itself when things go well, it is most felt when nothing does. When you can’t seem to follow your plan, when the market feels personal, that’s not a strategy issue, it’s signal interference, and almost always ego.

Trading requires emotional intelligence of both yourself and the market. The same awareness that stops you from overtrading also sharpens your read of crowd behavior at turning points. Research in performance science links the skill of reappraising emotion not suppressing it with outsized long-term returns.

Psychology is what converts experience into intuition. It’s the upgrade that lets you hold conviction through uncertainty and reset after chaos.

• Emotional regulation amplifies decision quality.

• Awareness of market emotion mirrors awareness of self.

• Mastery begins when you can observe your reactions without being ruled by them.

• Somatic reads and Engrams will unlock your Edge even further

The Multiplicative Effect: Why All Skills Matter Equally

The critical realization is that these four skills are multiplicative, not additive. After some time, perhaps six months of trading, you might find you’ve got some form of an edge (one star). After a year, you might find you are very good at execution (two stars). In any other business, you might think at this stage you should start pulling in some numbers.

However, in trading, the multiplicative nature changes everything. If we were to put a figure on it:

• Let’s say your Edge is worth $25,000 a year.

• Let’s say your Execution is worth $50,000 a year.

• However, if your Risk Management is 0.

• And if your Psychology is 0.

The equation is: 25,000 x 50,000 x 0 x 0 = Absolutely nothing.

That is where loads get stuck. You cannot have edge up and execution up and really bad risk management or no psychology skills. They are going to end up letting you down. All of these skills multiply over time. If you don’t spend time developing them, they will eventually set you back. You need to have some traction on all skills to move forward.

Once you develop all of them and they together pull each other up, that is when the market will start paying out, the income will be palpable, and the money starts coming in. You need “three stars everywhere.”

Furthermore, these skills are deeply connected with each other:

• Edge feeds back into your Psychology.

• Psychology feeds back into Execution.

• Execution feeds back to Risk.

• Risk feeds back to Edge.

• Risk is also part of Psychology.

They are all connected, and all of this leads to generating decent money.

Mapping the Journey: Timelines and Levels of Growth

Now that we have established the required skills, what sort of timelines can traders expect? We can visualize this development as angles of a star:

• Execution: How well can I actually execute a trade?

• Psychology: How well can you hold your nerves throughout a trade, before a trade, after a trade, when the market is choppy?

• Risk: How good am I at allocating risk when times are bad, when times are good (e.g., recognizing fat tails)?

• Edge: How good is actually the edge I am executing?

Every “aha moment” or improvement better recognition of the edge, better execution matching your backtests and forward tests is another piece of that star.

Based on experience and research regarding brain plasticity (the brain’s ability to learn anything), it takes roughly three months to develop one skill to a basic level.

If you start in January:

• January, February, March: By around April, you would added “1 Star” to a skill.

• April, May, June: You get another star.

• July, August, September: Another star.

• October, November, December: Another star.

After a year, you are just about Level 1 across all four elements. That is the timeframe you are looking at. A year after that, if you stick to all of those, you will progress towards Level 2.

Income moves in tandem with skill. This is true in every industry, particularly in trading.

Challenges and the Non-Linear Nature of Growth

The challenges in trading are that these skills are all tied together; if one lacks, all of them lack. In other industries, you might compensate for a weakness (e.g., poor communication or customer relations) by leveraging a strength (e.g., computational skills) or delegating the task. In trading, if you’re not good at psychology, there’s no one else to fix it for you. It’s all you. If you’re not good at risk management, the market will just take all your money.

In reality, you develop all four skills simultaneously, but the growth comes in stages, years apart and follows different patterns. You have to have the maturity to understand how growth works in trading:

• Risk Management: Growth might be in steps you might not do much in the beginning, and then trade by trade iterate and grow.

• Edge: Growth might start strong, then involve a massive plateau before your edge evolves more.

• Psychology: Nothing much happens, and then all of a sudden it’s that epiphany that just drives you to new levels.

• Execution: You will stick to the very basics, many repetitions. Amateurs train until they get it right, professionals train until they can’t get it wrong, be a pro. Execution evolves together with your other pillars.

It is vital to develop all skills. You can have the best edge, but it is worth nothing if you have no idea how to allocate risk. Above all, even with good execution, risk management, and edge, bad psychology will cause it all to fall apart sooner or later, because psychology helps immensely when there is a lot of money on the line, particularly when you are Level 3.

As emphasized in the session: “A lot of people overestimate what they can achieve in a month. And massively underestimate what they can achieve in a year.” Once you have a plan, all of this becomes much easier. To collect these stars and develop your skills we have created a community, with training material and weekly livestreams including direct dm access to me and lead traders. To help you understand each skill and become a high level trader. If this sounds like you, you can join us directly here.

⭐ The Star Path

Each star represents one of the four skills Edge, Risk, Execution, Psychology.
Every time you refine one of them, a new star lights up.

Key Takeaways and Outlook

This session provided a dual framework for approaching the markets, blending long-term skill development with immediate tactical analysis. The path to sustainable wealth in trading is unequivocally tied to mastering the four essential skills: Edge, Risk Management, Execution, and Psychology. Recognizing their multiplicative nature highlights that a deficiency in one area nullifies strengths in others. The journey to “Level 1” proficiency requires patience and structure, taking approximately 12 months. Remember: “A lot of people overestimate what they can achieve in a month. And massively underestimate what they can achieve in a year.”

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In the high-stakes arena of trading, the differentiator between consistent profitability and stagnant or declining accounts is often not the trading edge itself, but the execution. This deep dive explores the critical concept of Fat Tail Risk those outsized errors and massive losses that make trading expensive and sabotage long-term success. Based on extensive analysis, including historical brokerage data from the 90s covering over 10,000 accounts and the better part of 2 or 3 million different trades, a profound truth emerges: if you can cut just 10% to 15% of your worst trades, your profitability trajectory shifts dramatically. But how do you identify and eliminate these destructive behaviors? This post provides a comprehensive framework for understanding the psychological drivers behind these fat tails and offers actionable strategies to “attack the glitch” in your execution.

We introduce the “Dinosaur Analogy” to visualize trade distribution. Profitable traders operate in the “belly” of the dinosaur (the sweet spot of execution), while underperformers exhibit a “fat tail,” representing an excessive number of trades with massive negative outcomes. The root causes of these fat tails are deeply embedded psychological phenomena: Loss Aversion and FOMO (Fear of Missing Out). However, we challenge the conventional, surface-level understanding of FOMO. It is not merely about chasing entries; it is an overarching theme that dictates exits and trade management. Critically, loss aversion the tendency to cut winners short (e.g., exiting at a mere 5% profit rise) while letting losers run (e.g., holding a 10% drawdown) is itself a nuanced form of FOMO, driven by the fear of missing out on realized profits.

We identify the specific market environments that consistently trigger these psychological pitfalls: Sharp Drops, Consolidation (Chop), and News-Driven Moves. Recognizing these environments is the first defense against emotional decision-making. For instance, entering late during a sharp drop or forcing trades in choppy markets are classic FOMO behaviors. Furthermore, we explore the “intelligent trader’s trap,” where news events confirm a pre-existing bias, engaging the ego and leading to entries at the perfect top. We also examine how Greed, manifesting as moving take-profit levels, often results in unrealized gains turning into break-even trades, fueling further FOMO.

The solution proposed is counter-intuitive but effective: Do Nothing when these trigger environments appear. By resisting the urge to act during news spikes (like the recent 500 PIP move in USDJPY) or prolonged consolidations (like the 3-month range in EURUSD), traders can reduce their fat tail risk significantly potentially by up to 50%. We also cover essential and powerful technique for overcoming the “fear of being wrong”: using a simulator to rehearse a trade 10-15 times until the execution becomes automatic and the ego “shuts up.”

Key Takeaways from the presentation:

• The 10-15% Rule: Eliminating your worst 10-15% of trades (the fat tail) is the most impactful adjustment for improving profitability.

• Nuanced FOMO: FOMO affects exits and management, not just entries. Loss aversion is a critical subcategory of FOMO.

• The Three Triggers: Be hyper-aware of Sharp Drops, Consolidation, and News-Driven Moves as high-risk environments for emotional trading.

• The Power of Inaction: The primary strategy to reduce fat tails is to resist engagement in these trigger environments.

• Overcoming Fear: Use simulation rehearsal (10-15 repetitions) to bypass the ego and execute trades automatically.

If you’re finding value in our research, we’d like to extend a personal invitation to explore the next level of market analysis within our Speculators Trading community. Our Discord server is a collaborative space dedicated to helping traders optimize capital allocation. Inside, you’ll gain access to our real-time Trading-floor commentary, high-conviction technical setups, proprietary educational resources, and strategic bi-weekly livestreams. We invite you to experience these premium resources firsthand and see how they can enhance your portfolio management. Join us with a 14-day free trial (120 USD/month after trial is over), you can cancel anytime, but we would love for you to stay.

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Understanding Fat Tail Risk: The Dinosaur Analogy

The essence of successful trading execution lies in understanding the probability distribution of outcomes when applying a trading edge. The goal is to maximize positive outcomes while minimizing the impact of outsized errors, known as Fat Tail Risk. While institutions utilize complex programs and concepts like Value at Risk (VaR) to analyze this, when stripped back to the essence, it is about managing the distribution of outcomes.

The Sweet Spot vs. The Tail

To visualize this, imagine the distribution of your trades along the shape of a dinosaur. The “sweet spot” of your execution is where the dinosaur is “at its fullest and at its best” the belly. You want the majority of your trades, in terms of standard deviations, to be accumulated along this part of the curve or towards the right.

1. Scenario One (The Profitable Trader): In this ideal distribution, the majority of trades are clustered on the upside, to the right-hand side of the curve. The “tail” on the left side, representing losses, is near to zero. A few trades in the tail are acceptable, but the bulk must be in the profit zone with losses greatly contained to under 1 standard deviation both in size and quantity. This is where you should be.

   

2. Scenario Two (The Underperformer): Unprofitable periods or unprofitable traders exhibit a different pattern. That same dinosaur has a “ fat left tail.” This fat tail is costing loads of money and makes trading very expensive. In this distribution, there are “way too many trades” in the tail areas. You don’t want to be in the tail.

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The Impact on P&L Trajectory: The 10-15% Rule

The impact of reducing fat tails is profound and supported by extensive data. Drawing on analysis from various sources, including brokerage analysis from the 90s covering over 10,000 retail accounts and the better part of 2 or 3 million different trades, a consistent truth holds true:

If you can cut 10% to 15% of your worst trades (your fat tail), your probability outcome moves into the upper zone. By totally reducing these massive errors, the trajectory of your trading account changes significantly.

Imagine charting your trading account on an X and Y axis, where X is the trade number (1 to 100) and Y is the profit (e.g., 10K, 50K, 100K).

• The Orange Line (Reduced Fat Tails): When you reduce your fat tails, the equity curve moves steadily upward. This is where you want to be.

• The Red Line (Outsized Errors): If those fat tails are not removed, the trajectory has a very similar pattern but is characterized by annoying drawdowns. This account “never moves anywhere fast” and often moves quite down as well. This is what happens when you have those outsized errors.

Now that we know what fat tail risk is and that correcting it will substantially increase profitability, the focus shifts to identifying why these tails happen. While every trader might say, “if I knew it was going to be a losing trade, I wouldn’t have been taking it,” there are identifiable preconditions to those really worst trades.

The Root Causes of Fat Tails: Deconstructing FOMO and Loss Aversion

To eliminate the fat tail and stay in the belly of the dinosaur, we must address the psychological drivers that lead to outsized errors. The most significant factors are Loss Aversion and a nuanced understanding of FOMO. Once you know they exist and where they exist in your P&L, it is much easier to identify that “bad Apple” and get rid of it.

Loss Aversion: The Groundest Cause

One of the most fundamental causes of fat tails is Loss Aversion (LA). This phenomenon dictates how traders react disproportionately to winning and losing positions.

• In a Winning Position: The fear of losing the accumulated profit the fear that the profits will snap back is so big that a trader might cut the trade very early, perhaps after only a 5% profit rise.

• In a Losing Position: Conversely, if in a losing trade, the trader might be down 10% or so but remains hopeful and will hold on.

Loss aversion makes sure that the winners are really, really small, and it makes sure that your losses can bleed quite a lot before sanity kicks back in. In the probability distribution, loss aversion lives squarely in the fat tail.

“Loss aversion will make you move stop loss. Loss aversion will make you exit a position earlier. Does all the bad things.”

The Nuances of FOMO (Fear of Missing Out)

The term FOMO is often overused and misunderstood. While many associate FOMO solely with the fear of missing out on entering a trade, this is a very surface-level understanding. At a deeper level, FOMO is an overarching theme that shows up very differently for different people and is highly nuanced.

FOMO is not just about entry; it’s about exit and trade management.

Believe it or not, Loss Aversion is a version of FOMO.

1. FOMO and Exiting Winners: When a trade goes up into profit (e.g., 5%), the fear of missing out of profits kicks in. This FOMO, manifesting as loss aversion, makes you exit the trade prematurely. “So FOMO isn’t only always about entering a trade, sometimes it’s actually exiting a trade, because you fear of missing out of profits.”

2. FOMO and Managing Losers: FOMO will also make you bleed out losers. This happens because you fear missing out that market will go back up into profit, making your losses disappear.

See how nuanced it suddenly becomes? Trading is all in the details. There is no single big change that transforms someone into a trading superstar; rather, it is small, tiny changes that create a ripple effect everywhere else.

Identifying the “Glitch”: Where FOMO Shows Up in the Market

FOMO, the driver of the fat tail, seems to be showing up consistently in the same places in market behavior. This is good news, as it means we can identify the “glitch” and attack it. We will explore the three primary environments where FOMO manifests: Sharp Drops, Consolidation, and News-Driven Moves.

The Trap of Sharp Drops

One primary way FOMO shows up is during sharp drops in the market.

The Scenario:

It’s a trading day, and the market has been moving up a bit and down a bit. Suddenly, it drops aggressively. You think, “Oh my god, is this going down and I’m missing out?” FOMO makes you go short near the bottom. And then, almost as if perfectly aligned with your emotion, the market reverses and goes back up.

The Error:

This is an emotional trigger. If you really wanted to trade this move, where were you earlier? “Why would you, for on God’s earth, enter on the third dive down?” when all the supports are broken and the bearishness is pretty much played out. This is a purely FOMO-driven entry, born out of sharp drops.

When you see a sharp drop, you should immediately ask yourself: Is this FOMO’s “little cousin”? The amount of money lost from these types of entries is massive.

Consolidation (Chop): The Drive to Act

The worst type of FOMO occurs within consolidation patterns (Chop). While sharp drops are quick you get in, realize you’re wrong, and bleed out quickly, usually within hours or days consolidation is more insidious.

The Scenario:

The market is moving sideways. You think you have figured it out: “This is ready to break out.” You analyze the chart, perhaps noting it took out recent lows and has equal highs. It looks like money. You enter within the range, and the market does something totally different and unexpected, perhaps faking a move before tanking.

The Error:

Why enter prematurely? Why not wait until it actually breaks out and then make a decision? Entering in a consolidation and choppy mode because of things you convinced yourself should happen is another version of FOMO.

What chop essentially does is drive people to act when there is no reason to enter. People go long at the highs and lose; people go short at the lows and lose. The market is driving liquidity and creating trauma for participants. You cannot afford to be there, as this is a significant contributor to the fat tail.

News-Driven Moves: The Intelligent Trader’s Downfall

This trigger is the worst because it consistently hits intelligent people. The smarter you are, or the smarter you think you are, the more likely you are to get hit by news-driven moves.

The Scenario:

The market has been trending, and then a massive move occurs on the back of news. The news hits, driving a breakout. Intelligent traders say, “Well, I was bullish all along. I knew this was going on. Now this news is confirming it.” They enter near the top of the spike.

The Error:

Because their ego and intelligence are now engaged, there is no chance they will get out of this position easily. But the market often marks the perfect top and absolutely washes them out, creating a massive fat tail loss.

Why did the entry occur there?

1. Bias Confirmation: You were bullish all along but never entered.

2. Emotional Trigger: News came out in your favor, pushing the market further and pressing the painful emotion of not being long to the max, prompting you to act.

3. Ego Engagement: You went long, your ego was behind the decision. When it drops, the ego deflects blame (e.g., “the news was stupid”), rather than accepting responsibility.

This is the pattern that catches out the smartest traders those who seemingly always do well but then suddenly blow up. It is, again, a manifestation of FOMO.

FOMO Triggers

• Sharp Drops

  • Behavior: Entering short at the bottom of a fast, extended downward move.

  • Emotion: Fear of missing the move.

  • Outcome: Market reverses, immediate loss.

• Consolidation

  • Behavior: Entering prematurely in a choppy market before a confirmed breakout.

  • Emotion: Urge to act, self-convincing about market direction.

  • Outcome: Whipsaw action, stopped out.

• News-Driven Moves

  • Behavior: Chasing a breakout fueled by news, entering at the extreme.

  • Emotion: Ego and confirmation bias (“I knew it all along”).

  • Outcome: Entry near perfect top or bottom, sharp reversal follows.

The Role of Greed in Execution Errors

While the focus has been on FOMO and Loss Aversion, Greed is also a significant part of the fat tail problem. Assuming a trader has a consistent edge proven strategies exist that catch massive trends (e.g., Trades we have been showing and executing in Speculators-Trading Discord channel) the problem is often not the edge. The problem is the execution and reducing those 10-15% worst trades.

Moving the Take Profit

Greed often manifests in how traders manage their take-profit (TP) levels.

The Scenario:

You enter a trade, and the market moves favorably, approaching your original take-profit level. Seeing the strength of the move, you think, “Oh man. I didn’t make enough money out of this move.” You decide to move your take profit higher. The market comes close to the new target but then reverses. You then hope it will at least return to your original take-profit level, but it continues to drop even further.

The Consequence:

Instead of taking the profit as planned, the opportunity is lost. You moved your TP, never got the higher price, and missed the original exit. The trade eventually returns to break-even, meaning you made no money. This experience leaves the trader frustrated and will push you straight into another FOMO trade.

The fat tail makes you lose out on winners and can make you double down on losers. It is a bad thing, and we need to attack the glitch.

Attacking the Glitch: Strategies to Reduce Fat Tails

Now that we have identified the behaviors and the environments that drive bad trading, we can implement strategies to address them. Just a small adjustment will massively increase gains.

The Power of Doing Nothing

The strategy going forward is straightforward but requires discipline. Every time you identify one of the high-risk FOMO environments, you need to start doing something different.

The first thing is: You don’t do anything.

1. You don’t do anything when you see a sharp drop.

2. You don’t do anything when you see a consolidation.

3. You don’t do anything when you see a news-driven market.

When you review your trading history, it is highly probable (over 90%) that your big winners were never in any of those categories. They were always a different type of trade.

When you see these three types of environments, it is your cue not to do anything. Take a step back, analyze twice, analyze thrice. You must perform really deep, strong analysis to decide whether to trade in this environment or leave it.

Once you make the decision to leave an environment if you decide it is news-driven and you are not part of it you stop looking at chasing it and side step the left tail. This is where the fat tail losses are going to die. Implementing this discipline will reduce your fat tails significantly potentially by 50%, far exceeding the 10-15% threshold needed to dramatically change your account trajectory.

Live Market Examples

Applying this strategy to live market examples provides clarity on how to avoid fat tail events in real-time. In our trading community bi weekly livestreams, recorded for later access, we squash the left tail. Key to this is understanding the market environment fully and sharing this with all members. This knowledge and skill is then transfered to all members in the community, who then pass it on even further, and that’s when the wealth effect kicks in.

Managing Positions and Avoiding Fat Tails: A Bitcoin Case Study

Q (Tinker): If a trade reversed, would you cut the trade instead of taking a full R loss? When you say to avoid 10-15% trades, are you referring to limiting taking full R losses?

No, forget “1R loss” this is “day trader lingo” and doesn’t make a difference in this context. You can take 1R losses. Reducing the 10-15% worst trades means avoiding entries based on the high-risk environments discussed: when FOMO, loss aversion, or greed kicks in. Those generate your worst losses.

Bitcoin Example:

A long position was initiated on a specific candle. The market went up, then came back down, and the trade was exited at break-even.

• Reasoning: The environment was wrong; it was a consolidative environment heading into quarter-end, implying volatility. The trade was cut because the market didn’t pick its direction or wasn’t ready to. We are speculating and have no idea what the market will do.

• Outcome: If the trade had not been cut, it could have turned into a fat tail by running all the way down to the stop loss. The position was re-entered later (Sunday/Monday morning) when it came back into the desired levels, entering around 112K with a stop fairly tight under the 108K level, which then panned out neatly.

It is crucial to know where you are. If you are in any of those high-risk environments, choose not to act, or at least be cognizant that you are potentially in a fat tail risk event. Sidestepping those fat-tail events allows better opportunities to keep showing up. And remember you only need to reduce your fat tail by 10-15% to see exponential growth, at an accalerated pace.

Key Takeaways and Outlook

The path to consistent profitability hinges on mastering execution and minimizing Fat Tail Risk. By understanding that just 10-15% of your worst trades significantly hinder your account growth, you can focus on eliminating these outsized errors. The key is recognizing the psychological drivers Loss Aversion and the nuanced forms of FOMO and the specific market environments where they thrive.

• Identify the Fat Tail: Use the “dinosaur analogy” to visualize your trade distribution. Aim for the belly, not the tail.

• Understand FOMO’s Nuance: Recognize that FOMO affects exits and management, not just entries. Loss aversion is a form of FOMO (fear of missing out on profits).

• Recognize the Triggers: Be hyper-aware of Sharp Drops, Consolidation (Chop), and News-Driven Moves. These are the breeding grounds for emotional decisions and fat tail losses.

• Attack the Glitch: The primary strategy in these environments is to do nothing. Sidestepping these setups will dramatically improve your P&L.

• Overcome Fear: Use the simulator rehearsal method (10-15 repetitions) to overcome the fear of being wrong and train yourself to execute mechanically.

If you’re finding value in our research, we’d like to extend a personal invitation to explore the next level of market analysis within our Speculators Trading community. Our Discord server is a collaborative space dedicated to helping traders optimize capital allocation. Inside, you’ll gain access to our real-time Trading-floor commentary, high-conviction technical setups, proprietary educational resources, and strategic bi-weekly livestreams. We invite you to experience these premium resources firsthand and see how they can enhance your portfolio management.

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In this week’s market deep dive, we dissect a high-conviction options trade setup in Microsoft (MSFT), exploring the intricate interplay between technical patterns, historical seasonality, and macroeconomic shifts. This analysis provides a comprehensive look at structuring an options trade designed to capture potential upside acceleration during Q4 and Q1, a period historically marked by strong performance due to consumer spending and portfolio reshuffling. We explore the specifics of the February 20th $550 call options, analyzing pricing scenarios based on different market movements, and critically, establishing firm risk management protocols. The core thesis revolves around a rare technical formation: the Inside Monthly Candle Failure. We examine the historical precedents of this pattern in Microsoft, noting its tendency to resolve to the upside, and compare it to recent explosive moves in Apple (AAPL) driven by similar consolidation patterns.

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Figure 1: Inside Monthly Candle Failure pattern in formation

The discussion delves deeply into Microsoft’s historical performance from September through January, revealing returns ranging from 15% to 40% in bullish years. We contrast this with periods of flatness or minor negativity during macroeconomic distress, such as the 2022 bear market and the record rate hike cycle where rates hit 5.5%. Crucially, the current environment is shifting towards a rate cut cycle, suggesting a loosening monetary policy that could provide significant stimulus—a tailwind absent over the last two years. This macroeconomic backdrop strengthens the bullish technical setup.

Beyond the specific Microsoft trade, we expand into advanced trading strategies and market psychology. How do you navigate the fear of a crash versus the often-overlooked risk of a market melt-up? We analyze how institutional players may manipulate news narratives to support their large positions, emphasizing why technical signals often supersede fundamental noise. The analysis covers precise entry strategies, such as identifying Inside Daily Candle Failures below the monthly or quarterly open to catch the bottom wick of the candle, which has been discussed in detail during our Q3 Elite Strategy Guide. Furthermore, we explore the critical role of gap analysis in identifying market inefficiencies. Using examples from the S&P 500 (SPX) and the Bitcoin ETF (IBIT)—where a gap fill preceded a 42% rally—we illustrate how algorithms target open gaps, providing high-probability reversal points once these inefficiencies are filled. This exhaustive breakdown offers actionable insights for traders looking to leverage high-timeframe patterns for establishing directional bias and executing swing trades with conviction.

Key Highlights:

• Microsoft Options Setup: Targeting all-time highs using February 20th $550 calls, with a defined stop loss at the $492 level (the last three-week candle low).

• The Inside Monthly Candle Failure: A rare, bullish pattern currently forming on the MSFT chart, historically indicating upside resolution.

• Seasonal Tailwinds: Q4 and Q1 historically show acceleration in MSFT, with past rallies delivering up to 40% returns between September and January.

• Macroeconomic Shift: The transition from a record rate hike cycle to an impending rate cut cycle provides a bullish stimulus environment.

• Gap Analysis: Understanding how open gaps on indices and ETFs (like IBIT) act as magnets for price and signal algorithmic reversals upon filling.

  

Ⓜ️ The Microsoft Trade Thesis: Technicals, Seasonality, and Options Strategy

The conviction behind the current Microsoft (MSFT) trade setup is primarily driven by technical analysis, based on what is observed in the market. The other stuff—fundamentals and the seasonality aspect—are more so secondary in nature. The primary thing is whether the strategy being deployed is giving a long trigger, and it is, necessitating precise execution and patience for the pattern to play out.

Analyzing the February 550 Call Options

We are observing the development of a specific options play: the February 20th expiration $550 call options for Microsoft. Understanding the potential pricing scenarios is crucial for setting expectations.

If Microsoft were to move significantly in the money—for instance, trading at $560 tomorrow—the contract pricing would reflect this immediately, with the ask price around 37.25 and the bid at 36.95. If it goes deeper in the money, such as $600, the value increases further. However, the expectation isn’t for an immediate move. The thesis posits that Microsoft will not only reach all-time highs but likely exceed them. This confidence stems from cross-market correlation; the NASDAQ index recently sat at all-time highs (or was two or three days ago), suggesting Microsoft, which typically moves hand-in-hand with the index, has already registered the fact that it should be trading at similar levels.

The Impact of Time Decay (Theta):

A critical consideration is what happens if the contract does not move significantly through October, November, December, and January. If Microsoft is trading near the $550 level (all-time highs) during the first week of February, the pricing structure will change dramatically due to time decay. Based on comparable expirations (like the October 10th example observed), the options pricing might look significantly lower, trading at about $8 to $10. This is an acknowledged risk, taken based on knowledge of market structure, order flow, cross-market correlation, and the technical patterns in general.

Risk Management and Defining the Floor

There is no such thing as an investment without risk. While the entry strategy aimed to capitalize on the recent sell-off—with the first position taken, a second position added, and averaging into the position around the $500 level—the risk must be clearly defined.

The critical floor for this trade is the low of the last three-week candle, sitting at approximately $492. If this floor were to be breached to the downside, the long position will be exited.

“I will not hold a long position anymore if that floor were to be breached at the bottom, which means I am still looking at it as an investment which has risk to it.”

The stop loss is strictly based on the pattern invalidation. If the price goes below this level, the position is cut, regardless of the realized loss (whether 10%, 20%, or 30%). This adheres to the principles of the inside bar strategy currently in play. If the pattern plays out as expected, the first draw on liquidity to the upside is $555.

Positional Structure:

The position is structured to manage expiration risk and capture potential quarterly expansions. Half of the position is held in the February expiration contracts, capturing the end of Q4 and the first half of Q1. The other half of the position is held in April expiration contracts, providing extended exposure. This allows the February position the entire month of January and half of February to materialize.

Q4/Q1 Historical Seasonality and the Rate Cut Catalyst

A key component of the bullish thesis is the historical performance of Microsoft during the last three months of the year (Q4) and the beginning of the new year (Q1). This period almost always features an acceleration, driven by two main factors:

1. Consumer Spending: Increased activity during the US holiday season.

2. Yearly Reshuffling: New portfolios being set up in January.

A historical analysis of Microsoft’s performance from September to the end of January reveals a strong tendency for upside movement, although macroeconomic conditions heavily influence the magnitude of these moves.

Historical Performance (September to January):

The Macroeconomic Shift:

The context of the recent negative performance is vital. The market was navigating a record rate hike cycle. Despite this significant headwind, it was noted that Microsoft only ended up just being negative 3% in one instance during this high-rate environment. Now, the landscape is changing dramatically. We are entering a period characterized by a rate cut cycle, where monetary policy is actually loosening. Over the next six months, anticipated rate cuts will cause stimulus in the market. This supportive environment was not present in the last two years, providing a strong tailwind for the current setup.

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🔄 Decoding the Inside Monthly Candle Failure Pattern

The technical core of the Microsoft setup is the Inside Monthly Candle Failure, a pattern that requires careful analysis and historical context. While technicals are paramount, we must also consider potential risks. A thought experiment involves analyzing the downside risk, specifically an open gap on the monthly chart left by earnings. This gap is visible to everybody in the market. Why is it there? Because of the earnings which are sitting open. While the market could go down till there, doing so would require it to invalidate the bullish pattern that is forming.

Figure 2: Open gap on the monthly time frame, which does not need to close anytime soon

The Current Setup and Immediate Hurdles

The bullish pattern in play is the inside monthly candle failure which is printing. For this pattern to be invalidated, the month of October would need to print a bearish candle to the downside, as the month of September is already done.

To close below the critical level and invalidate the pattern, Microsoft would need to go down another 2% to 3%. The question is whether this decline will occur within the next few trading days (Friday, Monday, and Tuesday), especially considering the broader market context. The NASDAQ has already undergone a 2.4% correction over the past three-day period. Chances are high that the NASDAQ will post at least one bullish day between now and Tuesday or Wednesday. That single bullish day could be enough to propel Microsoft higher along with it, confirming the inside monthly candle failure, pending some kind of news event the market did not see coming.

Historical Precedents: Post-COVID and Beyond

If the Inside Monthly Candle Failure confirms, the job as an analyst is to study every historical instance of this pattern, treating it independently of the general market returns during that period. These patterns are rare in Microsoft and do not happen usually.

A cursory look back to 2020 reveals the following instances:

1. Post-COVID Example 1: A proper inside monthly candle formed. It did not give a failure, as the wick did not take out the prior candle’s low. The next two to three monthly candles resolved to the upside, taking out the monthly high without even running the lows.

2. Post-COVID Example 2: Another inside monthly candle. In this case, too, it did not take out the liquidity to the downside and just went to the upside.

3. Post-COVID Example 3: An inside monthly candle which actually played to the bullish side, though nuanced. The initial inside candle closed at the low. The next monthly candle opened higher (gap up), went down, took out the low, and then went higher—this constituted a failure because it took out the low, closed higher. The month after that, it ran the upside liquidity, rejected it, and then started going down for the other side of the liquidity.

Key Observation: In all the cases mapped out so far for the inside candles, the upside liquidity has been taken out. Whether the market took out the downside liquidity first (creating the failure) was irrelevant to the eventual upside resolution.

The analysis uses the COVID pandemic as the reference point because that is when the market “started going on steroids” due to massive money printing and stimulus (e.g., the serves program, CARES Act, infrastructure spending bills, the big beautiful bill, US Treasury intervention with monetary policy, and deficit spending). Prior to COVID, it was mainly growth driving the stock price higher.

Pre-COVID Example:

Looking prior to the pandemic, one example stands out as similar to the current case. There was a proper inside monthly candle; the market took out the low, rejected it, and rallied significantly higher. Examining the weekly candles during this period reveals a bearish look initially. “When it dropped down, anybody would think that it is not going to go higher at all.” However, the market quickly reversed, creating a Weekly SFP (Swing Failure Pattern), retracing all of it within that one weekly candle and heading for the all-time high. That is how quickly Microsoft can go.

🆚 The Apple Comparison: Double Inside Candles and AI Fundamentals

The potential for explosive moves out of consolidation can be seen in the recent behavior of Apple (AAPL). How many people were calling that Apple is “done” because it is not doing anything with AI? Yet, Apple is sitting near all-time highs.

The move in Apple was driven by the breakout of a powerful technical pattern: the Double Inside Monthly Candle. It moved into extreme mode toward all-time highs based purely on stock buybacks which were happening and maybe something about AI which they will release next year. The market eventually figured out what exactly Apple is doing and is positioning accordingly.

This highlights a crucial principle: just execute on what the pattern is telling you, and the fundamental news, the new stuff, every other stuff, they all will just align with each other. The footprints of large institutions positioning in a stock are visible on the monthly chart through these large consolidations.

If Apple can execute such a move on short notice, so can Microsoft. Furthermore, Microsoft is a far stronger company than Apple from both a technical and fundamental perspective. Microsoft currently has active revenue streams coming from AI applications today.¹ The reason Microsoft has the previously mentioned open gap but is not moving lower is that it actually reported record revenue growth, justifying its higher valuation. While the gap is an inefficiency in the market, it is a justifiable inefficiency. It will likely be filled eventually—perhaps two years down the road when the next recession happens when the market comes down another 30-40%—but it does not have to do it right now.

Figure 3: Inside Monthly Candle breakout in AAPL delivering 23% return!

Key Takeaway: While revenue is expanding and technical patterns support the uptrend, traders must execute on the technical pattern and ride it out. The risk management remains in place: the inside 3-week candle failure is also in play, meaning the $492 level acts as the running stop-loss and it should not go below there if it is bullish.

🏛️ Market Psychology: Fear, Melt-Ups, and Institutional Narratives

It is crucial to understand the psychological dynamics at play when significant patterns and consolidations occur. It is easy for the mind to think that the market may not go because it is not going in the moment. Emotions can flip easily, going into overdrive from extreme fear to extreme greed just based on price movement.

The Real Risk: Missing the Melt-Up

The primary concern with the Microsoft setup is personal: what if the pattern does play out and it goes to all-time highs but it does not stop there? What if it just keeps going higher?

“Everybody starts thinking about what if the market crashes? Nobody quite thinks about what if the market melts up? What if something gets injected in the market and it makes it go wild and nobody is positioned for it and everybody is sitting there thinking that I am just going to wait for the next crash because I want to buy cheaper. But the cheaper price never actually comes.”

The real risk is often not holding a long trade long enough to capture the entire uptrend if it actually starts going.

Institutions, News, and Manipulating the Narrative

Traders must understand how institutions think and operate, particularly concerning the dissemination of information. News can be organized and narratives can be pushed.

Institutions funneling hundreds of millions of dollars into their positions find it inexpensive to push narratives that favor their trades. If an institution has a $100 million position and expects a $20 million profit, spending $50,000, $100,000, or even $200,000 to influence news outlets is negligible.

“It is literally going to a cafe and you see a lineup of people trying to buy coffee for $2 and you go I have $1,000 in my pocket why can I not spend $20 and skip this entire line and get my coffee that is how institutions think when it comes to spending for narratives or whatnot.”

This is why technical analysis often takes far higher precedence than whatever the news might be telling the market should be doing. If you do not think the way institutions think, then you are at a losing game; you have a losing hand at the table.

Advanced Trading Strategies and Q&A

The discussion transitioned into specific strategies for trade entry, the importance of gap analysis, and establishing directional bias based on high-timeframe analysis.

Entry Triggers: Catching the Monthly Wick

Viewer Question: If you are looking for a long on a bullish inside pattern and the low side is not taken out (no failure/sweep), when do you look for entry and where are you looking to set your stop?

Response:

The entry in that case is going to be based on the market structure which is developing on the daily chart. If the high timeframe pattern (e.g., monthly inside candle) does not provide a clear trigger like a sweep of the lows (as the current MSFT setup did), and there is no trigger on the daily chart, you do not have to enter at all.

However, a specific playbook can be deployed when expecting a bullish month or quarter, aiming to catch the very bottom of the candle’s wick.

Figure 4: Inside daily candle failure confirmed as market dips from Monthly open/Quarterly open level

The Quarterly/Monthly Open Strategy:

This strategy is particularly effective at the start of a new period, such as January (which is both a new month and a new quarter).

1. Expectation: Anticipate a bullish month/quarter.

2. Initial Movement: Right off the bat when the monthly/quarterly candle opens, the market moves down, trading below the open.

3. Pattern Recognition: Look for Inside Daily Candle patterns forming at the bottom, below the monthly and quarterly open.

4. The Trigger: If the inside daily candle pattern gives a failure (takes out a low and reverses, forming an SFP), that is a strong long trigger.

This setup provides a high chance that the market is posting the bottom wick of the entire monthly or quarterly candle. That is how you get in at the low of the month.

Example Analysis (continuation below): In a historical example analyzed (January open), an inside daily candle failure provided a long trigger. The stop-loss is placed below the SFP low, and the take profit is above the recent high. This entry often coincides with a market structure break (confirming a higher low in comparison to previous higher lows) signaling expansion.

Holding the Trade: Once the market starts reclaiming the monthly open and the quarterly open, it is most likely that the initial downside price action was indeed the bottom wick. If the monthly candle is 30 days long and it spent 3 or 4 days forming the downside wick, it is likely going to spend the remaining 27 days moving to the upside. You can hold that trade without having any fear whatsoever that it is going to come down and take out that low because you basically caught the bottom end of the monthly candle.

Figure 5: Continuation of bull trend higher after price reclaims Monthly open, post Inside Daily Candle Failure pattern’s long trigger

📐The Significance of Algorithmic Gaps (SPX, IBIT Examples)

Viewer Question: Discussion on the importance of gaps and which charts are best for analyzing them (e.g., BTC futures vs. ETFs).

Response:

Yes, you should definitely pay attention to what gaps are saying. For assets like Bitcoin, it is recommended to look at the ETF (e.g., IBIT) over BTC futures, especially on higher time frames. The ETF is responsible for bringing institutional investment into the Bitcoin market.² Gaps on ETFs and cash indices (like SPX 500 index for the S&P 500) are highly significant.

How Algorithms Treat Gaps:

Gaps represent inefficiencies in the market. Algorithms are programmed to target these inefficiencies.

• When a gap gets filled, that is the indication to the algorithm that it has filled the inefficiency and it needs to go higher.

• Corrections are generally the market coming down to fill some kind of gap. Larger corrections target major gaps.

The Timing of Gap Fills:

A common confusion is the expectation that gaps must be filled immediately. The market does not have to fill them immediately; they can remain open for a month, two months, three months. However, the market always remembers that the gap is open and sitting there. When a future drawdown or recession occurs, that open gap is the first thing the market is going to attack.

Examples in the S&P 500 (SPX/ES) and NASDAQ:

• Future Target: A gap remains open on the ES (S&P futures) chart at about 5700. In any future drawdown, the market is most definitely coming for this gap. When it gets filled (could be a year down the road, six months down the road), it will be an amazing place to go long.

• Historical Fills: A previous NASDAQ drop came down all the way to an open gap, tagged the level right to the tick, and just rose with the upside. This is very common, not an isolated random event.

• COVID Crash: The entire crash happened with a large open gap sitting above. Traders should have known that once the market bottomed, it would eventually go all the way back up to fill that gap.

• 2022 Bear Market: A very large gap was present on the cash index (SPX). Even though the market spent a lot of time going down and bottoming, it eventually rallied higher specifically to fill that gap, which acted as the next magnet for price.

Trading Gaps with Market Structure:

Gaps provide targets, but entries should be based on market structure. When a gap is posted in a bearish market (e.g., a series of lower highs), you do not automatically go long. You wait for the market structure to shift (e.g., breaking a lower high to make a higher high). Conversely, if the market starts breaking higher lows, you should not be sitting in long positions; you should be looking to short because the entire market structure is still bearish.

The IBIT (Bitcoin ETF) Example:

IBIT behaves like an index. Open gaps on IBIT will be filled and will not remain open for long. A significant example was an open gap on the weekly chart. Weekly chart gaps are massive inefficiencies.

When the market rallied after leaving this gap open, it did not take long for the market to come back down and fill the gap precisely. The market formed a bottom right there and then went higher. While observers blamed the sell-off on market capitulation due to external factors (like Trump raising tariffs), the actual reason the market bottomed was that it had filled the inefficiency. The entire premise or the entire reason for the market going down was justified. It was fulfilled. With that reason over, the market had no reason to go down anymore.

Figure 6: Open gap on the weekly time frame got filled before resuming bull trend higher

Key Takeaway: When you start looking at the market from the perspective of what the algorithm is trying to achieve (filling inefficiencies), it becomes easier to navigate than focusing on news, monetary policy, or economic reports (CPI, jobs reports). If a gap gets filled, the algorithm is going to act on it and defend the level. Every other force in the universe is going to come in sync and try to defend your idea (e.g., a supportive tweet, Treasury comments, a new spending bill). In hindsight, the market rallied 42% higher from that IBIT gap fill. The technical signal took precedence over the news narrative.

Establishing Directional Bias with High Timeframe Patterns

Viewer Question: Discussion on establishing directional bias in trading.

Response:

Directional bias is a tricky concept. Most of the time, nobody even knows what the price is going to do or where it is going to go. Trading involves using information from multiple sources and strategies to make an educated guess that the market will target untapped liquidity or an open gap, supported by market structure.

The most effective method for establishing directional bias is identifying patterns on higher time frames (weekly, two-week, monthly, quarterly charts).

Fractal Nature of Price:

Patterns like the inside candle operate similarly across all time frames from a liquidity perspective. For example, an inside daily candle failure (taking out the upside liquidity, rejecting, and coming down) indicates a draw on liquidity to the downside (e.g., 0.5% downside to cover).

If you spot these patterns on higher time frames, you can capture much larger movements, framing swing trades that can be held for weeks and weeks out.

Example: Two-Week Inside Candle Failure: A successful trade was executed based on an inside two-week candle. It started printing a failure when it closed back inside the range after a stop-hunt to the downside, shifting the market structure up. This provided a high-conviction directional bias, indicating 6% upside potential.

Figure 7: Inside 2-week candle failure delivering 5.8% directional return

Key Takeaway: Knowing that a high timeframe pattern is in play allows traders to frame setups on lower time frames (daily, intraday) aligned with that direction. This approach exceptionally assists in finding directional bias in the market.

💡 Key Takeaways and Outlook

This analysis provides a robust framework for approaching the current market, focusing heavily on the Microsoft options trade setup. The thesis relies on the convergence of a rare technical pattern—the Inside Monthly Candle Failure—and strong seasonal tailwinds, further supported by a macroeconomic shift towards a loosening monetary policy. The risk is clearly defined with a stop at $492, targeting $555 and beyond, leveraging the historical tendency for Q4/Q1 acceleration which has previously yielded up to 40% returns.

Traders should prioritize technical signals over news narratives, recognizing the potential for institutional manipulation. The strategies discussed highlight the importance of precise entry techniques, such as using daily inside candle failures below the monthly open to catch market bottoms. Furthermore, gap analysis remains a critical tool for identifying algorithmic targets and high-probability reversal zones, as demonstrated by the SPX and the 42% rally following the IBIT weekly gap fill. Establishing directional bias is most effectively achieved by identifying and executing on high-timeframe patterns, allowing for significant swing trade opportunities.

As we approach the end of the quarter, watch closely for the confirmation of the Microsoft monthly pattern and the broader market’s reaction to the changing interest rate environment. The next quarterly outlook will be on September 30th.

What’s your take on the Microsoft setup and the power of gap analysis? Share in the comments—let’s discuss strategies. Subscribe for more market breakdowns!

Disclaimer: This isn’t financial advice – just market musings from the charts. Always do your own research.

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If you've ever felt that logical analysis (chart patterns, price action, macro) differs drastically from the visceral experience of executing a trade, this deep dive is essential reading.

The psychological framework emphasizes that trading execution is visceral, often flooded with fear, hope, regret, and greed. We explore the concept of the engram: a memory trace stored with sensation, emotion, and context. This is the foundation of intuition it isn't magic, but highly accelerated pattern recall built from past sensations. We delve into why most traders fail because they journal prices, not feelings. By shifting from price journaling to sensation journaling, traders can tap into a deeper memory recall system. The human mind processes about 10 bits per second in conscious thought, while our sensory systems absorb around a billion bits every second. By cataloging how high-caliber trades feel, whether characterized by calm connectedness or a sudden urge to flip a position, as seen in the pivotal February USD/CAD trade triggered by a "volcanic eruption of sensation" amidst post-election tariff fears traders can identify personalized, high-probability setups. Mastering this approach, even over just six weeks, has been shown to double trading results.

Trading Psychology: Finding Your Edge Through Engrams

Trading strategies, whether based on inside bars, the Six-Week Cycle, or the London fix, operate on a logical level. However, the execution of these strategies is far more visceral and granular. When traders enter the market, the mind is often bombarded by emotions — fear, hope, regret, and greed, sometimes simultaneously. This post builds on understanding emotions, somatic sensations, and engrams in trading, providing a roadmap to find an edge specific to you.

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The Visceral Reality of Execution and Managing Emotions

Recognizing and engaging with emotions, rather than suppressing them, is the first step toward consistent execution. There are five core things discussed in the ongoing series for managing the trading experience:

1. Engagement and Reappraisal: Understand that emotions are inherent in trading and must be engaged with and reappraised.

2. Labeling and Localization: Identify where emotions manifest in the body (e.g., stress in the temple, fear in the chest).

3. Managing the Peak: The crucial technique is to let the peak of the sensation pass before making a decision. This peak might usually take five seconds, but sometimes it can take an hour, or even a few days. Decision-making must occur after the peak, not while you are in the middle of it.

4. Anticipation and Mapping: Plan for emotional responses to potential trade developments (e.g., What if the trade comes back to entry?). Having a predefined decision pattern prevents emotions from taking over and creating chaos mid-trade.

5. Somatics and Engrams: Understanding the nature of these somatic memory traces.

Building on these foundations, the focus shifts to finding a personalized edge by understanding how strategies and indicators activate your unique engrams.

Defining Engrams: Intuition as Accelerated Pattern Recall

What exactly is an engram? An engram is a memory trace stored with sensation, emotion, and context. The mind functions like a hard drive, collecting data through sight, hearing, and taste. An engram is a cluster of these recorded sensations, imprinted across various parts (potentially five or six different parts) of the brain.

When a similar situation or sensation arises, the body retrieves this data cluster and signals a recognition "I saw this before" or "I felt this before." This communication is nuanced; the body doesn't talk or whisper instructions. It communicates through sensations. Tapping into these reveals recurring patterns that appear throughout life, not just in trading, but also in social interactions or sports (e.g., feeling confident scoring a goal from a specific angle in football).

Why does engram activation matter? It is intuition. It is not magic, but a pattern recall built from past sensation. The difference in processing speed is astronomical. The human mind processes information at 10-15 bits per second, whereas sensation processes billions of bits per second (milliseconds). Sensation is faster, stronger, better, and possesses a deeper memory trace than our thinking brain. Tapping into this sensory processing is the fastest way to recall patterns.

The Power of Sensation Journaling vs. Price Journaling

Most traders miss the power of engrams because they record prices, not sensations. Traditional journaling is regimented: “I crossed this resistance, flipped the zone, I bought it, and then it went up or down.” This often leads to frustration, as volumes of journals fail to improve trading performance.

"Trading is - you are not trading the market; you are trading yourself. You are trading the way you perceive things."

The same trading blueprint given to two different people can yield vastly different results one might make $500, the other millions. This difference lies entirely in perception.

The paradigm shift required is moving from price journaling to sensation journaling. Numbers offer shallow memory recall. Sensation journaling, however, provides deep memory recall.

• Losing Trade Indicators: Entries like, “I felt really fearful of this trade, and I was really stressed, and for weeks I was chasing this idea, and then I missed the first one, and I got into the second retrace,” almost invariably precede a losing trade.

• Winning Trade Indicators: Conversely, entries noting, “I was just so calm, connected. It is almost I did not care. This was the level. I did not even think twice about it,” typically signal a strong winner.

Trading is complex because multiple conflicting emotions—hope, fear, happiness, and greed can surface within seconds. Journaling these sensations is essential to understanding your reactions and identifying high-caliber trades. A high-probability setup might manifest as a calm, almost playful mood. Alternatively, it could involve experiencing stress, trying to be overly logical, and then suddenly flipping the position entirely.

“You cannot see the pattern until you have trained your mind to look for it... The pattern is already there... You need to look for it. When you look for it, you see it all the time.”

Real-World Application: The USD/CAD February Reversal

A powerful example of engram activation occurred in February with USD/CAD (US Dollar against the Canadian currency).

The Context: In the run-up to February, following the US election, media fear centered on the narrative that Trump would impose tariffs on Canada, and Canadian economy would slow down as a result of that.

The Move: As this fear materialized, USD/CAD experienced a massive spike up. The consensus was overwhelmingly bullish: "Everybody thought, this is the move we have all been expecting. It is time to buy more USD/CAD because it is going parabolic."

The Engram Activation: Despite the bullish consensus, data points suggested extremes, including COT data and sentiment readings. The shift occurred almost instantaneously: a transition from the stress of needing to get into the trade to a "volcanic eruption of sensation" signaling an immediate reversal. “It was really clear to me: it is time to flip that trade.”

The Execution: Trusting this sensation build-up, which had been previously cataloged through journaling, eliminated debate. A heavy short position was initiated. The trade yielded several hundred pips and became one of the best trades of the first part of the year (until Bitcoin and Gold surpassed it). This example illustrates the necessity of trusting your sensations when high-stakes situations arise, provided you have built a catalog of these experiences.

Building Intuition Through Reverse-Engineering (The Playback Effect)

For new traders, those new to an asset, or experienced traders without a journal history (perhaps trading for 10 years without journals), intuition can be built by reverse-engineering really good trade ideas.

The Method:

1. Select an Asset: Pick an asset you trade that moves nicely (e.g., Bitcoin).

2. Identify Perfect Entries: Go back week by week, month by month, and find historical perfect entry points (e.g., the April crash in Bitcoin).

3. Simulate the Trade: Use a playback simulator to enter the trade using the tools you would have used at the time.

4. Catalog the Sensations: Replaying the trade in hindsight bizarrely creates the same emotions. Catalog these sensations.

5. Repeat with Correlated Assets: Apply the same process to correlated assets (e.g., stocks and indices that moved with Bitcoin).

Doing a few hours of this simulation allows you to realize the sensations, trade ideas, and patterns, creating a "feel map." After two or three weeks, similarities emerge. By the third month, you are flying, trading patterns others miss because your emotions and sensations are firing on a different level. Your engrams activate when good trades appear—a "superpower I always had and never looked at."

The Playback Effect: The brain replays situations. When the setup reappears, the same sensation surfaces. These nuances cannot be taught in videos; they must be cultivated. This explains why many people buy courses from highly successful traders (who make hundreds of millions of dollars) yet remain at ground zero, as they haven't been taught how the body learns.

Here is a Full video version for you:

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As we rapidly approach the last quarter of what has felt like “one of the fastest years ever,” this week’s analysis provides a critical two-part breakdown essential for navigating the current environment. We first dissect the often-misunderstood psychological edge utilized by professional traders the Engram Trading Edge and then pivot to a tactical market overview, analyzing liquidity flows, market fears, and where the next major moves are evolving across equities, Bitcoin, Gold, and the Forex market.

Do you ever find yourself hesitating on a perfect setup because something just feels off? That is likely an engram firing—a stored emotional cluster or memory trace. This isn't just intuition; it's a complex biological mechanism where your brain retrieves a cluster of past emotions, physical sensations (like temperature changes or reflexes), and consequences when a similar situation arises. This analysis delves deep into the neuroscience behind these moments, highlighting the internal tug-of-war between the Nucleus Accumbens (NAC) and the Anterior Insula. The NAC fuels ambition and the impulsive drive to act, seeking dopamine rewards and often leading to decisions driven by fear—a mechanism described as “terrible” and “hugely detrimental” to trading. In contrast, the Insula acts as a "diamond compass," detecting subtle internal shifts and surfacing that gut feeling before conscious thought kicks in. Learning to favor the Insula over the NAC is the difference between blowing your account and achieving consistent profitability by mitigating losses.

We explore practical methods to weaponize this intuition, emphasizing Emotional Replay Journaling documenting preconditions, real-time emotions, and outcomes immediately to counteract the brain's tendency to rationalize past mistakes. Developing a "somatic vocabulary" and implementing the crucial "60-second pause" to let emotional peaks subside are key strategies. Compelling evidence supports this approach, including a 2016 experiment focusing on "what not to do" (using a 5-6 page playbook of prohibitions) which generated significant P&L increases, with one participant making $80,000 from near nothing. Furthermore, a landmark study of 110 institutional traders in London revealed that the highest earners (making $80-90 million a year) do not suppress emotions; they actively reappraise and monitor their emotional states, confirming that wealth truly begins in the nervous system.

In the market analysis segment, the current landscape is characterized by significant chop as institutional traders remain on holiday until the last week of August, placing the market largely in observation mode. Liquidity is being drained by the TGA, impacting equities like the S&P 500, which is facing pullbacks due to shrinking margin accounts and an inefficient late-July rally acting as a "liquidity magnet." While long-term bullish, expecting immediate breakout rallies is deemed “fanciful.”

Key Market Outlooks:

• Yields and Forex: The US 10-year yield likely topped at 4.5% (currently 4.38%) and is expected to move south, pressuring USDJPY. The 2-year yield holding above 3.65% is capping EURUSD advancr above the 1.17-1.18 levels (currently 1.1636).

• Gold (XAUUSD): Remains a superior trade in the current stagflation environment (slowing growth, persistent inflation). Key re-entry levels are above 3,340 or a dip to the cycle low at 3,294.

• Bitcoin (BTC): Currently trading at 113,089, a drop towards or below 111,000 is anticipated as part of a six-week cycle before a bullish turnaround is considered.

• Catalysts: The upcoming Jackson Hole meeting (this week) and the September NFP data are crucial events, with Jackson Hole historically being a site of "mega reversals."

The Engram Trading Edge: Weaponizing Your Nervous System

The session opened with an extensive exploration of the "engram trading edge," detailing the mechanisms behind gut feelings and how professional traders utilize these internal signals for superior risk management. This is about understanding the neurobiological processes that differentiate highly skilled traders from those who merely possess the same tools.

Defining Engrams: The Science of Gut Feel

An engram is defined as a stored emotion, a cluster of stored emotion that is retrievable. If you think about your brain as a hard drive, it has different ways of saving information. Some information is saved linearly, like tape recording noise or visuals. Engrams, however, operate differently by pulling data from a vast amount of information sourced directly from the body.

This data includes subtle cues that the conscious brain often filters out as noise throughout the day:

• Bodily sensations

• Changes in temperature

• Changes in mood

• Changes in reflexes and thought patterns

• Things that happen externally and internally

When an emotional reaction to an outcome in life creates a significant memory trace, this "thought cluster" is stored as an engram. The brain can store millions of these. While the average person cannot automatically tap into these engrams without training, they do exist and manifest as sensations. The body talks to the brain in very different ways, and learning to identify this communication is crucial.

The Moment Before It Clicks

Consider the moment before it clicks: A trader watches EUR/USD approach a level marked for weeks. The heart rate rises, the stomach tightens, and they hesitate. The chart looks perfect, but something feels off. “A lot of us can relate to that. We have been in situations where we had things planned but it just does not feel right.”

The trader may consciously think, “I’m not too sure about this and I have seen a setup before last time it failed.” They do not consciously remember the specifics, but their body does. This is the nervous system remembering the same trade the mind forgets. The prefrontal cortex or the nucleus accumbens, which constantly want to take action, do not have access to these deeper memory traces.

The initial reaction analysis is hesitation not fear, but a distinct feeling that perhaps the setup is not as good as initially thought. This memory shows up precisely when needed. You cannot plan for it. This ability to access and listen to these engrams when they show up is what differentiates the very skilled trader from the trader with the same tools but lacking the internal awareness.

The Neurobiology of Intuition: How Engrams Are Stored

The engram is a stored memory trace composed of not just facts, but emotion + sensations + the consequences that happened. In trading terms, it encodes what the chart looked like, how your body felt when you acted, and what the result was. This data is stored across huge parts of the brain, functioning like a team of internal "data scientists" gathering information for situational awareness and giving you a roadmap that is impossible to articulate consciously. “You literally could write two books about a single trade if you were to take in all the sensations.”

The key brain regions involved are:

1. The Hippocampus: Locks in the event details.

2. The Amygdala: Provides the emotional charge.

3. The Insula: Registers the physical sensations (e.g., sweaty palms, heart racing).

4. The Nucleus Accumbens (NAC): Provides the ultimate judgment was it worth it? Did you win or lose?

Visualizing Brain Functions

To better map out where these functions occur: visualizing the brain from the side (front to back), the Nucleus Accumbens is the yellow dot or region toward the front. This is the part activated when you want to take action and when it feels good. Deeply folded within is the Anterior Insula section, which takes in all the information where the engrams fire up and where internal work is done to understand the gut feeling.

The Internal Battle: Nucleus Accumbens (NAC) vs. Anterior Insula

The core of trading psychology lies in the internal tug-of-war between these two critical brain regions. Understanding their distinct roles using scientific terms to categorize what these different brain compartments do is essential for navigating trading decisions correctly.

The NAC: The Impulsive "Cave Brain"

The Nucleus Accumbens (NAC) fuels drive and ambition. It is likely the NAC that drives new traders to open their first account. It lights up when there is a potential reward and pushes you to act when it feels good. While beneficial for normal life, this mechanism is hugely detrimental to trading.

The NAC's job is constant action: “Do, do, do. Act, act, act. Push, push, push.” It is excellent for activities requiring continuous effort, like working out or playing football, but terrible for trading. The NAC must be heavily filtered, and engrams serve as that filtration mechanism.

Functionally, the NAC is the "cave brain." It says, "I am hungry, I am going to get food," or reacts to perceived threats. In modern life, the NAC activates in response to monetary rewards. If you are in a losing trade, the NAC activates, demanding an exit because loss of money equates to loss of status. It is the source of the entire fear and anxiety generated during trades, and it is unlikely to be in your favor if you act on it.

The Anterior Insula: The Diamond Compass

In contrast, the Anterior Insula is the favored tool for analysis and trading. It is the diamond compass. It detects shifts in the internal state and surfaces signals like tension, ease, and contraction, creating that gut feel before your thought kicks in.

When you listen to the Insula, you recognize, “Oh, I have seen this before. The likely outcome is going to be this.” At minimum, it signals that you should be paying attention. Action should only be taken by the NAC after the Insula has dissected what is going on internally.

The Conflict and Awareness

The conflict arises when a setup looks like a winner, triggering the NAC to say, “Let’s go, this is the moment,” while the Insula simultaneously says, “Wait, something is not right here.” Whoever wins this internal battle depends entirely on the trader's awareness.

Trading is fundamentally about mitigating errors, mitigating losses, and fostering better risk-taking. If a trader can improve their outcomes by utilizing this awareness—turning 5 losses out of 10 trades into three losses, five wins, and two break-evens—their operating system is significantly improved.

The Trader’s Decision Loop: A Millisecond Battle

The decision-making process in trading happens within milliseconds, forming the fastest loop ever. Understanding this loop is essential to capturing the fleeting emotions that guide action.

1. Engram Activation: A chart pattern emerges and activates an engram (the internal data scientists pulling millions and billions of data points to present a similar past situation).

2. Sensation Response: The body responds with sensations (the only way it can communicate). The Insula picks up on tension, ease, a heavy chest, jaw clenching, or a boiling forehead.

3. NAC Injection: The NAC injects dopamine: “This could be it. Let's trade. Let's risk more. I am feeling this is it.” Crucially, when people say they are "feeling it," it is often just the NAC firing dopamine, compelling them to act, not a true intuitive feeling.

4. PFC Rationalization: The Prefrontal Cortex (PFC) rationalizes the impulse, creating a justification for why the trader should take the action. Now, both the NAC and the rational brain are aligned on a potentially stupid idea (high danger zone).

5. Action: The trader clicks or holds back.

6. New Engram Creation: If they take a trade that their body signaled against (like the EUR/USD example), rationalized it, and lost, a new engram is created, often leading to self-blame because the process happened too fast to intercept consciously.

Interrupting the Loop: The Role of Self-Respect

Top traders inject more internal work and Anterior Insula pattern recognition into this loop. They describe moments where they “just knew” they had to size down, skip the trade, or go all in based on what the body said.

A specific example cited was Trader Pheneck, who had built up an awesome Dow Jones short idea. He spoke about it for hours. When the price arrived, he stated, “My gut feel says it is a no.” It takes significant self-awareness and self-respect to publicly back away from a trade idea discussed at length. By sticking true to what his body was telling him that the momentum was on the other side he avoided a loss, which is infinitely more important than forcing a trade. It is vital to differentiate when the engram is firing off as information versus when the NAC is simply fearful of losing money.

Cultivating Awareness and Building Your Edge

Awareness does not just show up; it is a process developed through dedicated practice. To consistently build the engram edge, traders must focus on specific techniques to capture and interpret their internal signals.

The Power of "Don'ts": The 2016 Awareness Experiment

A historical side story illustrates the practical implementation of awareness training. Observing why many traders fail despite learning from successful professionals led to a realization: if you give people a roadmap of what to do, the NAC will hijack the process 90% of the time because it is wired to preserve capital. Retrospective analysis often fails to reveal the exact reasons for actions taken unless they are written down in real-time.

This led to a new hypothesis: instead of telling new traders what to do, telling them what not to do might yield better success.

The 2016 Test

A test was conducted back in 2016 with about 60 people (initially aiming for 100-200). Instead of a standard one-page trading plan (e.g., risk half a percent, max 5% loss per week), these traders were given a playbook of "don'ts" that was five or six pages long. This playbook included criteria based on past losses, market conditions (e.g., you are not allowed to trade if X, Y, and Z is present), and self-awareness questions. Before taking a trade, traders had to go page by page to ensure none of the negative conditions were present, forcing an environment of self-awareness.

The Results

The experiment lasted about 12 weeks. While not everyone had the time or mentality to connect the dots on how this would change their life in trading, seven (or six) participants did stick with it. Their P&L increased significantly.

• One trader, who had never made money trading, ended up $80,000 by the end of the program.

• Others did well but returned to their entrepreneurial day jobs.

• Two participants eventually started their own trading courses, now visible on YouTube.

This underscores that awareness is not given; it is a process that requires commitment and clear-mindedness.

Emotional Replay Journaling: Capturing the Truth

The most critical tool for training the engram part of trading, the epitome of trading where the question shifts from if you will make money to how much you will make is Emotional Replay Journaling.

As noted in the book Clear Thinking, when we think back to an event retrospectively, the brain often rationalizes what happened and masks the real truth or micro-nuances to protect us from feeling stupid or vulnerable. To overcome this, journaling must be done immediately, covering:

1. Preconditions: How did you feel and what was going on in your head before entering the trade? How did you evaluate the idea? Did you feel it was a good/bad setup?

2. During the Trade: What influenced your decisions (e.g., a candle wicked, external news)? How did you execute?

3. Outcome: How did you exit the trade?

Journaling this way is "night and day" compared to retrospective analysis. Engrams come through the pen actively; they do not always come through words retrospectively.

Case Study: The Altcoin "Drift of Death"

An example was provided of an altcoin trader who journaled a losing trade. The trader was tracking an altcoin coming down from a level monitored for weeks. They missed the initial fast interaction. They waited for a rebound, which was shallow and started moving lower again. Instead of waiting, they entered the trade late in the session, fearing they would miss out on more.

Overnight, the market executed the "drift of death" bouncing back to the initial rebound level they were waiting for, stopping them out, before finally moving back to the original short zone and panning out as expected.

[Level/Original Short Zone] <--- Missed Entry Here
\
\ (Fast Move Down)
\
[Shallow Rebound] <--- Desired Entry (Did not come)
\
\
[Late Entry/FOMO Short Here]
/
/ (Overnight Drift of Death - Stop Out)
/
V (Trade eventually plays out)

Retrospectively, the trader might invent various reasons, but the journal revealed the truth: “You were late to the trade and you just could not come to terms with it... So you took a poor entry because you thought you know better.”

Owning up to why you did what you did makes the difference. By journaling this way, patterns emerge within weeks. By the fourth week, one or two deadly patterns usually emerge, allowing you to target the glitch. By week 9, "gut feeling" transforms from theory to recognizable reality.

Developing Somatic Vocabulary and Practices

To utilize these insights, traders must develop a Somatic Vocabulary naming sensations accurately (e.g., heavy chest, lighter belly, rushing breath). Sensations show up differently for everyone, depending on factors like upbringing and relationships with parents. Mapping these unique signals is essential.

Key Practices:

• The 60-Second Pause: When feelings of urgency kick in, pause for 60 seconds. This is when peak emotion slides, and the Nucleus Accumbens is least effective. Wait until the peak of emotion is out of the way before making trading decisions.

• Rehearse Highs and Lows: Visualize setups, the hurt felt, and narrate/reframe them. Using a simulator to replay trades helps understand the internal processes.

• Build Emotional Equity: A cheesy way of saying you want to train from alignment to sharpen the signal that creates the gut feeling. This is a process of micro-successes over many journaled trades.

Institutional Insights: How Top Earners Use Emotion

The most profitable traders do not just trade the chart; they trade their bodily sensations. They know the body doesn't lie and use gut feeling to alert them to great ideas or when to step back. This is how intuition becomes weaponized, and “that is where wealth begins in the nervous system.”

The Consensus Among Professionals

This approach is the best compass in trading, particularly useful after six months of experience. However, even traders with 10 years in the market who adopt this journaling perspective often discover knowledge they didn't know they possessed, pulling off effortless trades.

While often classed as secondary to technicals or macro, the body takes in billions of pieces of information faster than the conscious brain. Tapping into this is a game-changer. Yet “99% suppress emotions and never use them.” That is where they go wrong.

Historical context reveals that back in the 90s, top banks (who were bigger traders than hedge funds pre-GFC due to regulation) brought in experts such as Denise Shull to teach their traders about engrams and emotional cues, leading them to “significantly outperform benchmarks.”

The London Study: Reappraising Emotion for Profit

A study conducted analyzed over 110 institutional traders in London, classifying them into four groups based on experience and earnings. The findings on how they deal with emotions (wins and losses) were profoundly interesting:

This profound finding confirms that the highest level of success involves integrating emotional awareness into the trading process.

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Market Analysis: Navigating the August Chop and Liquidity Drains (August 20, 2025)

Shifting to the market analysis, the current environment is characterized by a lot of chop. Many institutional traders are still on holiday and are expected to return during the last week of August. This return is anticipated to bring massive moves some fake-outs, some core moves. Until then, the market remains largely in observation mode, perhaps offering some day trades, but awaiting better situational clarity.

Equities (S&P 500, NASDAQ, Dow Jones) Facing Headwinds

The equity markets are showing signs of fatigue following the recent rally, primarily due to liquidity concerns.

S&P 500 Analysis

The S&P 500 has not moved much away from its peak produced at the end of July and is currently turning back down. There are two main reasons cited for this pullback:

1. Liquidity Drainage: The TGA is draining liquidity out of the market. When liquidity is drained, the margin accounts at brokerages shrink as well. Traders have less to risk. In an equity rally already highly characterized by fear, this reduction in risk appetite makes pullbacks very common and leads to choppy markets before a larger leap.

2. Inefficient Rally: The rally in late July was very inefficient. This inefficiency is likely going to act as a liquidity magnet, drawing prices back down unless there is a new liquidity injection. For the rest of August, no new liquidity injections are expected.

Outlook: Long-term, the trajectory has not changed and remains bullish. However, in the short term, expecting breakout rallies like those seen in July is considered “fanciful” at this stage. The US 100 (Nasdaq) and US 30 (Dow Jones) are following the same patterns.

Yield Dynamics and Forex Implications

The yield environment remains a critical driver for the Forex market, particularly ahead of potential shifts from the Federal Reserve.

US Yield Analysis

The US 10-year yield is currently choppy to range-bound. It very likely found a top at about 4.5% and is currently trading around 4.38% (or 4.3%). The expectation is for the 10-year yield to tour south as rate cuts start kicking in, as it typically follows the Federal Reserve's rate trajectory during a cutting cycle.

The US 2-year yield is now considered the barometer for the dollar. It recently bounced and failed to crack the 3.65% level. It is unlikely to crack this level unless there is a green light that the Fed is cutting rates below it.

Forex Outlook

USDJPY is highly influenced by the 10-year yield. The recent fake-out in early August is potentially sealing the deal, and the pair is expected to move more or less with the yield trajectory.

EURUSD dynamics are tied closely to the 2-year yield. As long as the 2-year yield stays above 3.65%, EURUSD is unlikely to go above the 1.17-1.18 levels. It is currently trading at 1.1636. While it could potentially tour back to 117, it is likely to remain elevated and choppy. A huge swing trade is unlikely without more clarity.

Key Catalysts

The next NFP data on 5th of September will shine more light on the Fed's stance. Additionally, this week features the Jackson Hole meeting, an event around which we have historically seen some mega reversals.

Gold (XAUUSD): The Superior Stagflation Trade

The outlook for Gold remains structurally bullish, driven by the macroeconomic environment. The current conditions suggest stagflation: the rate-cutting cycle is not done, there is inflation in the market, and growth is slowing down. Gold (and Bitcoin) tend to be superior assets in these environments.

However, the short-term price action required tactical adjustments. A long position initiated at 3,342 was forced to cut under 3,330. The rationale for the cut was the belief that the market wants to find more liquidity before it moves back up.

Re-engagement Strategy:

1. If the market moves up above the 3,340 levels.

2. If the market goes back down to 3,294, which is the bottom of that six-week cycle, presenting a potential long opportunity.

Bitcoin (BTC): Targeting the 111k Level

Bitcoin analysis suggests a near-term dip before a potential continuation. Bitcoin is likely to drop towards specific zones as part of the current six-week cycle.

• Current Price: 113,089

• Target Zone: Around 111,000, maybe a bit lower.

• Outlook: There is hope for a bullish turnaround following this dip.

• Action Plan: Engagement with Bitcoin will increase once it drops under 111k.

Key Market Levels Summary

Key Takeaways and Outlook

This session provided a critical framework for navigating the markets by integrating deep psychological awareness with macro analysis. The exploration of the Engram Trading Edge emphasizes that successful trading is not just about charts, but about understanding and utilizing internal bodily sensations. The conflict between the impulsive Nucleus Accumbens (NAC) and the intuitive Anterior Insula dictates outcomes. Mastering this dynamic through practices like Emotional Replay Journaling, the 60-second pause, and understanding your somatic vocabulary is a game-changer. As demonstrated by the 2016 "what not to do" experiment and institutional studies (where the highest earners make $80-90M/year), top traders weaponize their intuition by reappraising, rather than suppressing, their emotions.

In the current market environment, liquidity is the defining factor. The August chop is expected to continue until institutional traders return late in the month. Equities face headwinds from TGA liquidity drains and inefficient rallies, suggesting short-term caution despite a long-term bullish outlook. Yields (particularly the 2-year at 3.65%) are dictating Forex movements, capping EUR/USD below 1.18. Gold remains a strong stagflation trade (watching 3,294/3,340), while Bitcoin is expected to test the 111k level.

As we head toward the Jackson Hole meeting and September's NFP data, utilizing the engram edge will be crucial for identifying the real moves from the fake-outs expected when liquidity returns. It has been an incredible year so far, and the end of the year is expected to be even better, with new tools slated for introduction in September. Start journaling your Emotions trades preconditions, during, and outcome to build your awareness and improve your trading significantly.

Disclaimer: This isn't financial advice – just market musings from the charts. Always do your own research.

If you enjoyed this deep dive, please share it with fellow traders!

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“A single weakness can cancel out all your strengths. That's the reality of trading.”

We’re in a market filled with traps, headlines, and noise.

But success real, durable success doesn’t come from prediction.

It comes from execution built on structure.

At the core of that structure are four pillars. And if you're serious about trading at a high level whether you're managing a $500 million book or your own portfolio this is the framework.

⚒️ The Four Pillars of Trading

Edge. Risk. Execution. Psychology.

They don't work in isolation. They multiply.

If even one breaks, the entire system collapses.

So this isn’t about getting one thing right. It’s about mastering all four equally.

Let’s walk through what that actually means in today’s market.

🧠 1. Edge: The Foundation of Profit

Edge is your statistical advantage. It’s a setup that works over time backtested, repeated, refined.

For example:

• London Fix reversals

• Inside bar traps near macro levels

• Volatility squeezes into event risk

An edge isn’t magic it’s math.
And it improves as you log your trades, review outcomes, and study real market behavior.

Hedge fund application: Treat edge like a research product. Backtest it across volatility regimes. Stress-test it with size. Track it like a quant.

🛡️ 2. Risk: Your Only Real Defense

The best edge in the world dies if it’s oversized, misallocated, or unmanaged.

Risk isn’t just stop losses it’s dynamic. It moves with the market.

Practical framework:

• Model every trade with multiple outcomes

• Adjust stops only if it improves the edge’s EV

• Scale down or hedge when volatility spikes unexpectedly

A fast 300-point move? Move stop to breakeven but only if your data says it helps. Don't act out of emotion. Act from structure.

Hedge fund application: Run scenario stress tests daily. Model position impact on total portfolio drawdown. No single trade should threaten survival.

🎯 3. Execution: Where Traders Go to Die

You had the edge.
You sized it right.
Then… you mistimed it.

Now it’s a loss.

Execution is where 90% of traders fall apart. Late entries. Emotion-driven exits. Slippage in volatility.

Elite execution is:

• Trigger-based (SFP, engulfing, low-timeframe confirmation)

• Adaptable to structure (scale in/out with range)

• Honed through repetition, not theory

Hedge fund application: Audit every fill. Build TCA dashboards. Discretionary teams should simulate news-event execution scenarios weekly.

🧘 4. Psychology: The Binding Force

Edge, risk, and execution all rely on one thing: your mind not blowing up under pressure.

Professional traders reframe fear. They use their anterior insula the part of the brain that recognizes risk quickly, before the rational mind talks them out of it.

Key tactics:

• Reappraise fear: Is it signal or noise?

• Stick to plan: Winning or losing, stay with your model.

• Build emotional immunity through review, not denial.

Hedge fund application: Incorporate behavioral reviews in performance debriefs. Track plan adherence alongside P&L.

📊 Why It’s Multiplicative, Not Additive

Most traders think strength in one pillar can compensate for weakness in another.

Wrong.

If you score:

• Edge: 8

• Risk: 5

• Execution: 0.5

• Psychology: 5

Your total system output is:
8 × 5 × 0.5 × 5 = 100

But if you score a balanced 5 across all:
5 × 5 × 5 × 5 = 625!!!

A sloppy execution alone cuts your effectiveness by 84%.

🛠️ Real Trade Example: London Fix Retest Setup

• Edge: Reversal pattern at a bank level, post-London Fix

• Risk: Risk 1%, multiple scenarios modeled (2R target, breakeven stop)

• Execution: Entered during retracement, timed via engulfing bar on the 5-minute

• Psychology: Reframed fear as setup confirmation, stuck to the trade plan

🟩 Result: High-probability long, managed with discipline.

🟥 Alternate reality: Late entry, stop too tight, exit on noise = loss.

📈 Market Outlook – June 25, 2025

Macro Setup

• Yields: Choppy. Break above 4.6% = inflation risk. Drop = recession.

• TIPS > 111 = Recession confirmation. Watch closely.

  

Asset Signals

• AUDJPY long from 93.65 toward 95.96

• EURGBP mean-reversion setup: long from 0.8465 toward 0.87

• NASDAQ: Bullish, all-time highs = trend continuation

• Gold: Buy on dip to 3200–3290 (inflation hedge)

• Bitcoin: Bounce from 99,545, targeting 112K–120K

Implication: Use current liquidity and structure for asymmetric entries especially in commodities and tech.

🧭 Strategic Moves for Hedge Funds

1. Develop edge: Quant models or pattern-based. Backtest across regimes.

2. Optimize risk: Volatility-adjusted sizing. Stress-test daily.

3. Refine execution: TCA audits. Simulation drills.

4. Train psychology: Plan adherence. Behavioral review metrics.

5. Position smartly: Long NASDAQ, gold, Bitcoin. Watch London Fix intraday traps.

6. Watch key dates: June 26 (unemployment), July 9 (tariff volatility), Q3 GDP.

Final Word

You don’t need 100 trades.
You need one great setup executed with clarity across all four pillars.

That’s what separates amateurs from pros.

🟧 [Join the Private Discord for Weekly Execution Drills]

Trade Strong,
Miad

"I don’t take a trade unless I feel it first."

That sentence would get laughed off most trading floors.

And yet, it’s exactly how many of the world’s best traders operate.

Not based on superstition. But with trained instinct and refined gut.
And body-level pattern recognition that’s 50 million times faster than your next technical setup.

What Is “Gut Feeling” Really?

It’s not a hunch.
It’s not luck.
And it’s definitely not irrational.

Gut feeling is a high-resolution signal a composite of millions of stored memories, emotional imprints, market patterns, and risk-response triggers. It is your nervous system’s way of telling you that you’ve seen this before.

You just don’t remember it consciously.

But your body does.

Chart 1: Your Gut vs. Your Brain

Visualising how sensory input moves through the nervous system vs. conscious thought.
Gut = 0.2 seconds | Brain = 5 hours (exaggeration)

When our gut sends us a signal, it looks like this:

• Tight chest

• Heavy breathing

• Jaw tension

• Shortened focus

These are not distractions.
They’re data points.

Signals from the fastest, most advanced market model ever built: the human nervous system under pressure.

What I Got Wrong (For Years)

I used to override it.
Every. Single. Time.

I’d feel that deep tension in my body before a major turn…
Then ignore it.
Lean harder into analysis.
Add more indicators.
More research.
More noise.

Eventually, I’d take a trade I didn’t fully trust usually one that unraveled weeks of good work.

Why?

Because I trained myself to trust external data more than the internal one.

What the Pros Know That You Don’t

I once read that elite traders use their gut not to trade, but to investigate.

That’s when a light went on.

Our gut feel is not the trade.
It’s the trigger to investigate.

When that physical tension shows up our job isn’t to act.
It’s to analyse the feeling itself.

That’s the edge.
Because our gut may be showing us something our charts haven’t caught up to yet.

Ask These Three Questions

Next time that signal hits, pause and ask:

1. Why did this feeling show up?

2. When did it show up?

3. Where is it showing up in my body?

Nine times out of ten, by the time you answer those three, you’ll know what the market is about to do or at the very least, what you were blind to a moment ago.

The nervous system doesn’t lie. It stores everything.

Chart 2: Cognitive Trading vs. Somatic Trading

Side-by-side comparison: Analytical traders vs. traders who integrate somatic signals.

This Is Not Magic. It’s Method.

This won’t turn you into a star trader overnight.
But it will do something far more valuable:
It will put you on the path to consistent edge, where trading is clear, fluid, and yours.

Think of it this way:

Your gut gives you a forward-looking signal.
Your charts give you a backward-looking confirmation.

Which one do you want to build your edge on?

What’s Next

I’ll break down how to train your gut feel to spot specific market conditions before the charts confirm anything, via live recorded weekly webinars.

If you’ve been overtrading, second-guessing, or constantly stepping in just before the turn this is your reset.

🟩 [Sign up to Weekly Webinars And Get The Gut Feel Training Framework]

This is the edge.
Your body already knows.
All you have to do is listen.

Thanks for reading Speculators Edge!
Miad

The first time I heard about this strategy, I thought it sounded too simple to work. Then I watched it play out on a chart again and again. It wasn’t flashy, didn’t rely on the latest indicator, and didn’t require constant screen time. But what it did do was something most traders only dream of: it gave me a clear, logical way to trade, with levels I could trust.

Here’s the thing about trading: most of us start out chasing. Chasing price. Chasing signals. Chasing strategies. The chaos of the market feels overwhelming, and it’s easy to get pulled in a hundred different directions. But what if there was a way to trade that removed all the noise?

This system does exactly that. It helps you identify the moments when the market is most likely to move and gives you a plan to trade those moves with precision and confidence.

Step-by-Step Guide to the Bank Range Strategy

Step 1: Identify the Bank Range

The first step is pinpointing the Bank Range a high and low price band that forms during a specific time period. This range reflects institutional positioning that drives future price movement.

The next part of this guide will show you exactly how to draw the Bank Range, use it to plan your trades, and set up precise entry and exit points.

How to Draw It:

1. Identify the dates of the last two Fed meetings.

   • Example: If the last meeting was December 18th and the prior one was November 7th, examine the high and low prices during that time.

2. Use a daily chart to draw a box encapsulating this range. This is your Bank Range, a visual guide for your upcoming trades.

   

Quick Insight: Historical data shows that price will typically break out above or below the range in the next six weeks, but rarely both.

Step 2: Apply the Modified Fibonacci Tool

Now, it’s time to prepare your entries using a customized Fibonacci retracement tool with these levels: 0%, 25%, 50%, 75%, and 100%.

• For bullish setups, draw the retracement from the bottom of the range to the top.

• For bearish setups, reverse the direction.

The Fibonacci levels act as stepping stones, allowing you to plan precise entry points as the market retraces toward the range boundaries.

Step 3: Entry Rules

The key to success in this strategy is buying/selling during retracements, not breakouts. Here’s how to do it:

• But/Sell at the:

  • 25% retracement level

  • 50% retracement level

  • 75% retracement level

• Set your stop-loss below the 100% level of the Bank Range, with a small buffer to account for spreads or slippage.

  

Pro Tip: This approach ensures you’re entering on “red candles” (price dips) or ‘‘green candles’’ (price rips) instead of chasing momentum. It’s a disciplined way to capture value without overpaying.

Step 4: Managing Trades

1. Timing Your Entries: Focus on the first few weeks of the new six-week cycle for retracement entries. Avoid entering trades in the final week before the next Fed meeting.

2. Stop-Loss and Trailing Stops:

   • Place your initial stop-loss outside the Bank Range for maximum protection.

   • Once price breaks out, trail your stop to lock in profits as the trade moves in your favour.

3. Profit Targets:

   • In strong markets, breakouts often double the size of the previous range.

   • In slower conditions, target moves equal to 50% of the range size.

     

Step 5: Choose the Right Markets

This strategy applies across multiple markets stocks, forex, crypto, and commodities—but not all assets are equal. Focus on those that show clear direction or momentum during the current cycle.

Momentum Tip: Macro themes often dictate which assets outperform. Stay informed on global events to identify high-conviction opportunities.

Why Does This Strategy Work?

Markets are driven by institutional players who often establish positions during the six weeks between Fed meetings. The price boundaries they create become pivot points for future moves, leading to predictable breakouts.

By aligning your trades with these boundaries, you’re not chasing the market you’re anticipating its next move. The Bank Range Strategy simplifies this process, giving you a framework to follow the flow of institutional money.

Key Advantages of the Bank Range Strategy

1. Clear Entries: Fibonacci levels provide structured, objective entry points.

2. Reduced Risk: Stops are placed strategically, protecting you from unnecessary volatility.

3. Steady Discipline: Avoids emotional decisions by focusing on pre-set levels and retracements.

4. Repeatable Success: Works consistently across markets due to its foundation in institutional behavior.

How to Determine Market Direction

The one subjective element of this strategy is predicting whether the market will break higher or lower. This requires analysing:

• Fundamental Drivers: Economic data, Fed policy, and market sentiment.

• Positioning: Insights into institutional flows can offer clues.

Exclusive Opportunity: For directional analysis and high-conviction trade ideas, consider upgrading to Speculators Edge With detailed insights tailored to the upcoming cycle, you’ll always have an edge.

Final Thoughts

The Bank Range Strategy is a powerful way to approach swing trading with logic and precision. By focusing on retracement entries, safe stops, and calculated breakouts, you can navigate the markets without the stress of impulsive decisions.

The next six-week cycle starts soon. Take this strategy, apply it to your charts, and let the market come to you.

Here’s to trading with clarity, discipline, and success.

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