In today’s episode, we dive into the May 25th parallel test results for our three MT5 automated trading bots. The portfolio ended the day slightly in the red, with a total realized loss of -228 JPY, or -272 JPY when factoring in open positions. While it wasn’t a winning day, it was an incredibly useful one.

We break down the distinct behaviors each bot exhibited under imperfect market conditions:

* LLMBridgeTrader (EURUSD): The strongest performer of the day. It successfully secured a +254 JPY profit. The bot perfectly executed what we want from an AI-driven system: it didn’t overtrade, it took one solid position, and it protected the trade by moving the stop into profit before ending the day cleanly.

* BoundSniper Bot (USDJPY): A crucial lesson in equity management. While it closed the day with a +25 JPY realized profit across three trades, it held an open position with a floating loss of -44 JPY. It’s a stark reminder that realized profit alone isn’t enough—floating P/L matters just as much.

* GateGrid AI (GBPUSD): The source of today’s overall deficit, taking a -507 JPY hit on a single short trade that moved roughly 31.9 pips against it. We discuss our plans to review the logs to understand why the CatBoost and Ollama filters allowed this entry, and whether the session threshold was too loose or volatility was increasing.

A robust automated trading system shouldn’t only be judged by whether it wins every day. Join us as we explore why this “valuable small loss” provides the exact clarity we need to refine our entry filters and position handling.

#FX #MT5 #AlgorithmicTrading #AITrading #RiskManagement #TradingStrategy

This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit fxaibotlab.substack.com