█ When Gut Feeling Beats the Bot: How Experience Can Improve Algorithmic Trading
In today’s world of fast, data-driven trading, we often hear that algorithms and rules-based systems are the future. But what happens when you mix that with a trader’s intuition, the kind that only comes from years of watching charts and reading price action?
A recent study has some surprising results: A seasoned discretionary trader (someone who trades based on what they see and feel, not just rules) was given a basic algorithmic strategy. The twist? He could override the signals and use his instincts. The result? He turned a losing system into a winning one, big time.
█ What Was the Experiment?
Researchers Zarattini and Stamatoudis (2024) wanted to test whether a skilled trader’s experience could boost a mechanical system. They took 9,794 stock “gap up” events from 2016 to 2023, where a stock opens much higher than the day before, and let the trader pick which ones looked promising.
⚪ To make it fair:
⚪ The Trading Setup
█ What Did They Find?
The trader only selected about 18% of all the gap-ups. But those trades performed far better than the full list. Here's what stood out:
⚪ So what made the difference? The trader could spot things the system missed:
He avoided weak setups and managed trades like a pro, cutting losers, letting winners run, and trailing positions with smart stop placements.
⚪ Example
An experienced trader can quickly identify a breakaway gap, when a stock gaps up above a clear resistance level. Unlike random gaps, this setup often signals the start of a strong move. While a system might treat all gaps the same, a skilled trader knows this one has real potential.
█ What Does This Mean for You?
This research shows that trading experience still matters — a lot.
If you’re a systematic trader, adding a discretionary filter (whether it’s your own review or someone else’s) could drastically improve your results. A clean chart read can help you avoid false signals and focus only on the best setups.
If you’re a discretionary trader, this study is proof that your skills can add measurable value. With the right tools and discipline, you don’t need to throw away your instincts, you can combine them with structure and still win.
█ Key Takeaways
⚪ Gut feeling isn’t just noise, trained instincts can spot what rules miss.
⚪ Trade selection matters more than just following every signal.
⚪ Managing risk and exits well is just as important as picking good entries.
⚪ Hybrid trading, rules plus judgment — might be the most powerful combo.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
In today’s world of fast, data-driven trading, we often hear that algorithms and rules-based systems are the future. But what happens when you mix that with a trader’s intuition, the kind that only comes from years of watching charts and reading price action?
A recent study has some surprising results: A seasoned discretionary trader (someone who trades based on what they see and feel, not just rules) was given a basic algorithmic strategy. The twist? He could override the signals and use his instincts. The result? He turned a losing system into a winning one, big time.
█ What Was the Experiment?
Researchers Zarattini and Stamatoudis (2024) wanted to test whether a skilled trader’s experience could boost a mechanical system. They took 9,794 stock “gap up” events from 2016 to 2023, where a stock opens much higher than the day before, and let the trader pick which ones looked promising.
⚪ To make it fair:
- All charts were anonymized — no names, no news, no distractions.
- The trader had only the price action to guide his choices.
- He could also manage open trades — adjusting stop-losses, profit targets, and position sizing based on what the price was doing.
⚪ The Trading Setup
█ What Did They Find?
The trader only selected about 18% of all the gap-ups. But those trades performed far better than the full list. Here's what stood out:
- Without stop-losses, the basic strategy lost money consistently (down -0.25R after just 8 days).
- With the trader involved, profits rose fast, hitting +0.80R just 4 days after entry.
- Risk was tightly managed: only 0.25% of capital was risked per trade.
⚪ So what made the difference? The trader could spot things the system missed:
- Strong momentum early in a move
- Clean breakouts from long sideways ranges
- Patterns that had real follow-through, not just random gaps
He avoided weak setups and managed trades like a pro, cutting losers, letting winners run, and trailing positions with smart stop placements.
⚪ Example
An experienced trader can quickly identify a breakaway gap, when a stock gaps up above a clear resistance level. Unlike random gaps, this setup often signals the start of a strong move. While a system might treat all gaps the same, a skilled trader knows this one has real potential.
█ What Does This Mean for You?
This research shows that trading experience still matters — a lot.
If you’re a systematic trader, adding a discretionary filter (whether it’s your own review or someone else’s) could drastically improve your results. A clean chart read can help you avoid false signals and focus only on the best setups.
If you’re a discretionary trader, this study is proof that your skills can add measurable value. With the right tools and discipline, you don’t need to throw away your instincts, you can combine them with structure and still win.
█ Key Takeaways
⚪ Gut feeling isn’t just noise, trained instincts can spot what rules miss.
⚪ Trade selection matters more than just following every signal.
⚪ Managing risk and exits well is just as important as picking good entries.
⚪ Hybrid trading, rules plus judgment — might be the most powerful combo.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Access my indicators at: zeiierman.com/
Join Our Free Discord: discord.gg/zeiiermantrading
Join Our Free Discord: discord.gg/zeiiermantrading
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Access my indicators at: zeiierman.com/
Join Our Free Discord: discord.gg/zeiiermantrading
Join Our Free Discord: discord.gg/zeiiermantrading
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.