A few years ago, a trader named Geo Chen quietly published a framework that turned the concept of trading self-improvement on its head. Instead of trying to perfect his strategy, he spent years documenting his mistakes—not just the outcomes, but the why behind each bad decision. His approach, recently discussed by financial commentator Wong Kwok Ying in a Hong Kong financial column, centers on what he calls "identifying disadvantages" .
Chen's background is not the typical Wall Street success story. He was a technician who spent over a decade in the trenches, losing money consistently until he realized that his problem wasn't his market analysis—it was his behavioral patterns. His core idea is disarmingly simple yet rarely practiced with rigor: you cannot fix a mistake you have not explicitly named.
The Core Mindset: Tracking the "Disadvantages"
Most traders keep a trading journal to record their wins and losses. Chen takes it a step further. His trading log includes a checklist of common errors. Every time he closes a trade, he checks off any mistakes he made. These aren't just "I lost money" entries; they are specific behavioral failures like :
The Specific, Executable Rules of the System
The power of this method lies in its structure. It transforms vague feelings of frustration into concrete data points.
1. The Error Checklist
Create a list of your most common trading errors. Geo Chen's list includes items like "exiting before stop-loss," "holding losers too long," and "taking profits too early" . At the end of each week, you review the list and tally the frequency of each error.
2. The "Cost of Error" Calculation
After a month, you can calculate the monetary cost of each error. For example, if "exiting before stop-loss" happened five times and cost you $500 in missed profit, you have a concrete number attached to a behavioral pattern. This turns an abstract psychological flaw into a tangible drag on performance.
3. The Systemic Fix
Once you identify your biggest disadvantage, you build a hard rule to counter it. Chen noted that his biggest problem was "failing to hold stops." His solution was to place a physical or system-based automatic stop-loss order immediately upon entry. He strictly refuses to give a trade "breathing room" after it goes against him .
Original Viewpoint: The Digital Age Shift in "Disadvantage" Tracking
In the age of algorithmic trading and high-frequency data, the psychological "disadvantage" has become more dangerous because the speed of the market amplifies human error. A FOMO trade in 2024 can be entered and lost within seconds, without the conscious mind even registering the impulse.
However, Chen's framework, while effective, requires a deeper layer of analysis in current markets. I found that when you make an error matters just as much as what the error is. For instance, my own "disadvantages" spike during the Asian session (Tokyo open) when volatility is often artificially inflated by algorithmic flows. My reaction to a small move was always larger than the move itself.
Personal Insight:
I applied Chen's framework by creating a "Disadvantage Time-Log." I found that 60% of my "Fear of Loss" errors happened between 7 PM and 10 PM EST. My "systemic fix" was to simply stop trading during that window. I didn't try to become a better trader; I just removed myself from the market during my "disadvantage" hours. The result was immediate and quantifiable—my win rate improved by 18% simply by changing my schedule.
The Practical Checklist for the Modern Trader
Based on Geo Chen's principles and my own experience, here are three concrete steps to implement this system:
References
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