How I Stopped Changing My Trading Rules Every WeekE-mini Nasdaq-100 Futures (Jun 2026)CME_MINI:NQM2026mtpfcFor a long time, I was stuck around breakeven. The frustrating part was that I was so sure I was doing everything right and following the rules of my strategy. I was journaling trades, taking screenshots, writing notes and backtesting. But I kept making one mistake over and over: I kept applying mental filters to the charts without even noticing them. A missed move would make me add another confirmation. A stopped-out trade would make me rethink my stop. A strong move after my exit would make me rewrite my target rules. A loss would make me skip future trades with the same structure. At the time, it felt like improvement. Looking back, a lot of it was just reacting to small samples. The problem with small samples If I took 10 or 20 trades and the results were mixed, I treated that as enough evidence to change the system. But 10 or 20 trades usually told me very little. Even worse, not every trade in the sample was clean. Some followed the plan. Some were early. Some were late. Some were valid losses. Some were just bad decisions that happened to win. So I was not really testing the rules. I was mixing disciplined trades and undisciplined trades together, then using that messy sample to make changes. That created a loop: 1. Trade a small sample 2. Get frustrated by the results 3. Change the rules 4. Restart the sample 5. Never collect enough evidence The shift that helped me Before changing a rule, I now want to know whether I actually followed the current rule set long enough to judge it. That means separating two questions: 1. Are the rules good? 2. Did I follow the rules? Those are not the same question. A losing trade that followed the plan may still be useful evidence. A winning trade that broke the plan may be dangerous evidence. A bad process win can make you trust behavior that should not be repeated. A good process loss can make you abandon rules too early. This is where scoring discipline became useful for me. Instead of only asking whether the trade won or lost, I started scoring whether the trade followed the process: - Was the setup valid? - Was the entry according to plan? - Was the stop placed correctly? - Was risk sized correctly? - Was the trade managed according to rules? - Was the exit according to plan? - Was there an emotional exception? Only then could I decide whether the trade deserved to count toward the sample. Why 100 trades matters I do not treat 100 trades as a magic number. It is just a practical threshold that forces patience. For me, the point is not “100 trades guarantees the answer.” The point is: - 10 trades is usually noise - 20 trades can be misleading - 30 trades can still be dominated by a few emotional decisions - 100 scored trades gives me a better chance of seeing patterns The key word is scored. A 100-trade sample is not useful if half the trades ignored the plan. A smaller sample of high-quality trades may teach more than a larger sample full of exceptions. What became clearer Once I started separating rule-following from outcome, the review became much clearer. I could see: - which losses came from valid trades - which losses came from breaking rules - which wins were clean - which wins rewarded bad behavior - which rule breaks caused the most damage - whether my issue was the system or my execution of the system This helped me stop treating every losing streak as proof that the rules were broken. Sometimes the rules needed adjustment. But other times, the main problem was that I had not followed them consistently enough to know. A simple review framework The framework I use now is: 1. Define the rules before the trade 2. Take the trade only if it matches the rules 3. Score the trade after it closes 4. Separate process quality from P/L 5. Build a large enough sample before making changes 6. Only adjust rules when the sample is both large enough and clean enough This removed a lot of emotional rule-changing for me. It also made the impact of rule-breaking much harder to ignore. When you can see that a specific broken rule keeps causing avoidable damage, the review becomes more objective. You are no longer guessing whether discipline matters. You can see where the cost is coming from. Final thought Being breakeven for a long time taught me that constantly changing rules can feel productive while quietly preventing real learning. Sometimes the next step is not a new setup, a new filter, or a new indicator. Sometimes the next step is collecting a cleaner sample. Not financial advice. Just sharing what helped me get a more clear perspective on trading and journaling.