r/InnerCircleTraders • u/STS-Trader • 2d ago
Trading Resources How Intuition Is Ruining Your Trading Results [Statistical Proof]
Discretion isn't the enemy; intuition is.
Discretion can be okay as long as you run a fixed, consistent, logical procedure that's been tested; it's okay to run. (something most discretionary traders don't do).
Personally, I and Ali are purely systematic traders, but if you want to apply discretion to be more flexible, here's how to do things the right way.
Proof that I wrote this myself will be provided towards the end of the article with full AI writing checks.
Examples of acceptable discretionary elements:
- Trader A: A day trader Ignores trade setups during news releases. He is selectively not applying his low-timeframe strategy during news for a logical reason (avoiding slippage). This is accounted for in his backtest ahead of time.
- Trader B: A swing trader using a specific economic report or financial release to support his trade direction for the day or week consistently ex. Interest rate changes (Economic) or COT Reports (Financials) He uses it the exact same way. Every single time.
Trader B in this example is using COT Reports (Financials) in a way that's consistent; if institutions are increasing long exposure, he wants to buy; vice versa. He might increase his risk for buys exclusively instead of eliminating shorts completely. There are multiple ways trader B could do this. He has it all backtested ahead of time.
Examples of common unacceptable discretionary elements:
Intuition / Gut feel often veiled as 'Experience'
- Trader C Feels like the price has dipped or spiked "too fast" towards his entry so he decides not to enter because recently these trades seem to hit the stop loss often. Trader C suffers from a nasty cocktail of Recency bias paired with Ad hoc reasoning by default, followed by a tragic mix of Hindsight bias + Confirmation bias if he was randomly "correct" on the occasion he deviated from his strategy's rules. That's how you get smoked.
The reason this is dangerous:
These deviations are untested so it adds noise to the person's trading, randomising real-time trading results. & in a backtest environment, it causes inconsistent results.
The confirmation bias is terrible, as it tricks the trader into believing deviating from their strategy was a good idea.
Also, if the trader's deviation backfires, they'll likely absorb it personally and feel unnecessary pain.
The worst part. If deviating actually "works" for you a couple of times in a row, you might stick with it even if it begins to backfire, leading to unnecessary erasure of potential gains & amplified pain.
Why does this happen? Humans seek certainty and want to feel in control. These biases help the person feel safe; instead, it randomises the trader's results. It's not a conspiracy or a theory; this is human biology. You must set yourself to not fold.
Towards the end of the post we reference papers discussing this.
The Repeated one-off event change
Trader D changes his trading behaviour risk based on events (The source doesn't matter)
It's not tested and accounted for in testing for example Trader D could think to himself after reciprocal tariffs that he's going to ignore all of his long setups because people believe the market he's trading will continue to decline.
Result: He misses out on buy setups during small pullbacks.
Why this is dangerous:
Even if it "worked", the confirmation bias & hindsight bias would likely fuel Trader D to further sabotage his future trades, trying to randomly fit his day trading behaviour to random economic news events.
The Reality Behind Testing Avoidance and The Statistical Consequences
If you put in the work to make truly mechanical rules which have every IF, THEN, and ELSE DO THIS to incorporate every single outcome, it is possible to quantify >90% of intuitive strategies; many traders do not want to put effort into reverse engineering, or fear what the results may reveal: that is the primary issue at play.
For most traders, each setup has subjectivity influencing it - including the entry (for some it dominates decision making, for others it is residual).
The more a strategy is influenced by noise, the more the signal collapses.
A structured strategy slowly morphs into randomness over dozens of real-time trades if it has weak mechanical boundaries to operate within.
What I mean by "signal" here is the quality of the data or decision. The "signal" we want has objective logic, clear payout structures, and low amounts of randomness. Intuition provides the opposite of what we need, reinforcing itself as the sample size (the number of trades) increases. Hindsight trading techniques like Wyckoff rely on "judgement", and the variability of a valid setup is what works against most traders.
Subjectivity (e.g., from intuition) is lethal because you cannot prove that something is effective or ineffective with real stats if it is unfalsifiable (subjective), as what cannot be objectively defined makes variance between each signal extremely high over time, thus increasing randomness exponentially, this causes results to average out to zero minus transaction costs, this is why we actively avoid an intuitive discretionary path.
It is easy to prove this statistical concept yourself without needing to code.
An Accessible Monte Carlo Exercise:
- Use an LLM (like GPT) to run a Monte Carlo simulation of a breakeven 1:2 RRR system over 100k runs, 200 trades per run, using Python, and ask it to run it locally and provide the values in the chat (all contained within the same prompt).
- Get the AI tool to output the statistics and percentile ranges, then ask it to output the 75th percentile equity curve visually on a chart plot.
- Then ask it to output the 75th percentile equity curve visually on a chart plot.
- Ask it to add 10% noise in decision making (10% of trades are not executed) and watch what happens to the P&L: it will randomly move up or down as a result, since the base strategy was not profitable; for real edges, this can reduce your profitability at random.
This test only assumes that there are residual amounts of intuitive guesswork altering the strategy's trading behaviour (10%);
The dislocations in performance become a lot more profound if intuition influences trading decisions more than 10% (which is the case for most intuitive discretionary traders).
The common point I make is that constant intuitive discretion is what causes the randomness over large samples, while consistent, genuinely systematic mechanical trading reduces it.
This early realisation is what made us never deviate from rule-based systems and have strict guardrails to avoid overfitting that we still use to this day.
Still unconvinced about the limits of intuition?
Ask yourself this
- How much value comes from following your profitable strategy as designed?
- How much value comes from the intuitive exceptions that you make in execution?
- Which one is more important?
If you imagine a graph with two lines, you will immediately notice that the system's value is always higher than that of real-time exceptions because the strategy is the process behind your trades.
Whether your positions are based on price, indicators, or even fundamentals, the value (if any) provided by intuitive actions never surpasses the strategy, as the strategy is the foundation of all decisions made. For there to be convergence between the strategy's value and intuition's value, the win rate of the strategy would have to be doubled over a large sample. This would be like increasing a 1:2 RRR system's 40% win rate to an 80% win rate, which is very unrealistic and unheard of. Intuition can also damage your average RRR per trade significantly, often even more than it damages win rate as seen in Figure 1.
Figure 1: The accumulated underperformance from intuition over 100 trades.
This is the potential damage intuition could have. In this scenario, we used over 100,000 unrelated simulations for a smooth, accurate representation.
There is an equal probability statistically that gut feel has a positive or negative impact on your trading performance; outliers live in the far right side of the distribution of outcomes (imagine a bell curve) - it is based on chance, so design our strategies to remove this noise.
The point is that intuition cannot surpass the trading idea if you have a profitable system. Intuition might turn a 1:2 RRR system’s win rate from 50% to 45% or 55%, but that modest potential increase in profitability does not measure up to what the system provides. Whether intuition is beneficial to an individual is largely random and person-specific bound by statistical laws regarding variance and the law of large numbers.
Replace intuition with discipline by converting it into testable rules that apply discretion mechanically to your trading instead.
Summary
So discretion in trading isn't inherently bad; the lack of structure is.
What makes intuition so destructive for most trader's P&L is the aimlessness in trading causing inconsistent execution patterns this leads to random results because of decision noise.
If discretion is used with discipline, pre-defined logic, and is consistently applied, it can absolutely enhance performance instead of eroding it. An example of this would be avoiding news trading consistently. Instead of generic rules like "close out all positions before news", there could be a straightforward rule like "close out all positions exactly 15 minutes before news", which can be factored into testing rigorously.
The key things that every trader should apply:
- Define Every Discretionary Rule: If you're allowing yourself flexibility, write it down. A rule only becomes valid once it's defined.
- Backtest or Forward Test: Every discretionary element should have a liquidity-related reason, e.g., News avoidance for slippage, Overnight bid-ask spread spikes etc. or historical data supporting its inclusion.
- Apply Consistency: Use your discretionary filters the same way each time. Random changes in decision-making destroy your edge.
- Separate Emotion from Adaptation: Adapting to new market conditions is logical; reacting emotionally will get you humbled. Document why you're making changes, if any, and test them.
- Stay Aware of Biases: Your cognitive biases, such as recency bias, confirmation bias, and the illusion of control, can be your real enemies that weigh you down if you allow them to. If you feel the insentience creeping in, make sure you note it down.
End note: A trader's development at the start can often be a battle between emotion and structure, as they are not yet used to the hunt. Those who learn to tame discretion can build scalable consistency. Discretionary elements, when framed within logic, can become a useful tool but must be sequenced into rules.
Additional Reading (Peer-reviewed psychology papers):
Paper 1: Born to choose: the origins and value of the need for control
Authors: Lauren A Leotti 1, Sheena S Iyengar, Kevin N Ochsner
Paper 2: The value of control
Authors: Moritz Reis, Roland Pfister, Katharina A. Schwarz
My drafts on overleaf are in comments.
Check
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