The Struggle for Consistency: Discretionary Trading vs. Automation
Meet Nev, the latest portfolio manager at City Traders Imperium, who successfully automated a breakout strategy to pass his evaluation and earn a funded account. In this interview, Nev shares how he reverse-engineered a profitable strategy he found online and adapted it to fit his trading style. He discusses his journey from being a discretionary trader who struggled to find consistency, to embracing automation that allows him to trade more efficiently while managing risk and emotions.https://youtu.be/wQwQtlJLCFU
| Field | Details |
|---|---|
| Program | CTI Funded Account |
| Result | PASSED ✅ |
| Trader Type | Automated Trader (EA with Manual Oversight) |
| Key Strategy | Automated Breakout System (Numerical/Logical Approach) |
| Win Rate | 60% |
| Risk-to-Reward | Greater than 1:2 |
| Trading Discipline | All trades closed by 9 PM; EA off during high-impact news |
| Validation | ✅ Validated by CTI Risk Team |
Reverse Engineering a Winning Strategy
Nev’s journey wasn’t without challenges. He had tried various strategies in the past, often paying for automation, only for those strategies to fail. However, after finding a simple yet effective breakout strategy, he tested it rigorously and discovered a way to automate it. He emphasizes that for a strategy to be automatable, it needs to be logical and simple, not reliant on visual patterns that are difficult to code.
The Importance of Simplicity in Automation
While Nev has automated much of the strategy, he still manually controls when to turn it on or off, particularly around major news events and periods of low market activity. This balance between automation and discretion has allowed him to maintain consistency while avoiding the psychological pitfalls of over-trading. He shares valuable advice for traders looking to automate their strategies: keep it simple, and make sure you have a logical system that can be coded effectively.
Balancing Automation and Manual Control
Nev also discusses how forward testing was crucial in his journey, explaining how he tested his strategy across multiple funded accounts and platforms. He highlights the importance of managing drawdowns and explains how he avoids overtrading by setting clear rules within his automated system.
