In today’s episode, we review the May 22nd parallel test results of our three MT5 automated trading bots. The portfolio ended the day with a total loss of -1,571 JPY. Despite a solid win rate, the results highlighted a harsh reality of system trading: it’s not about how often you win, but how you manage your losses.

We dive into the specific behaviors of each bot to understand what went wrong and how we plan to fix it:

* GateGrid AI (GBPUSD): The biggest struggle of the day, finishing at -1,594 JPY. While its CatBoost and Ollama entry logic is highly cautious, the bot failed after entering the market. Two large stop-losses in the second half of the day wiped out its smaller profits, proving that for grid bots, a strict exit strategy is far more critical than a perfect entry.

* BoundSniper Bot (USDJPY): A beacon of stability, ending with a +38 JPY profit across 4 consecutive wins. As a pure execution bot for TradingView signals, it perfectly fulfilled its role as a reliable, rule-based benchmark against our more complex AI bots.

* LLMBridgeTrader (EURUSD): A frustrating near-miss, closing at -15 JPY. It secured two solid wins but suffered one large loss that erased its gains. While the AI’s market direction planning seems accurate, its risk management needs a stricter safety net to prevent a single loss from destroying a winning streak.

Across all three bots, we had 14 trades with 8 wins and 6 losses—a 57.1% win rate. Yet, we lost money because the size of our losing trades simply exceeded the size of our wins.

Join us as we discuss the critical importance of “how to lose.” We outline our next steps, including stricter withdrawal rules for GateGrid AI when multiple positions are caught in an adverse trend, and tighter maximum loss filters for LLMBridgeTrader’s AI plans. It was a losing day, but the path to improvement has never been clearer.

#FX #MT5 #AlgorithmicTrading #AITrading #RiskManagement #GridTrading

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