In today’s episode, we break down the results from our May 26th parallel test of three MT5 automated trading bots. While the combined realized profit and loss was nearly flat at -24 JPY, the underlying details tell a very different story about risk and bot behavior.
We dive into the distinct performances of each bot to see why rigid logic beat AI autonomy today:
GateGrid AI (GBPUSD): The standout performer of the day. It closed two clean, profitable trades for a realized P&L of +193 JPY, with no open positions left at the end of the session. Its defensive design—requiring strict alignment between the CatBoost gate, volatility conditions, spread, and local AI judgment—worked perfectly to filter out bad setups.
BoundSniper (USDJPY): The king of consistency. Acting purely as an execution bot for TradingView signals, it secured +60 JPY with a 100% win rate on its closed trades. It did exactly what it was built to do: follow the rules, close small profits, and avoid unnecessary complexity.
LLMBridgeTrader (EURUSD): The day’s weakest link. As our most experimental and autonomous bot—allowing the AI to decide whether to OPEN, HOLD, CLOSE, or REVERSE—its flexibility became a liability. It closed two losing trades for -277 JPY and carried an open short position with an unrealized loss of -153 JPY. It clearly showed that the AI planner needs stronger risk filters and better stop-loss logic.
The biggest takeaway from this session is that stability matters more than autonomy. A relatively flat day perfectly highlighted how different bot architectures react to the exact same market conditions, proving that steady rules often outperform aggressive flexibility.
Join us as we discuss our next steps, including how we plan to enforce stricter confidence thresholds and exit logic on LLMBridgeTrader while maintaining the reliable performance of our more controlled bots.
#FX #MT5 #AlgorithmicTrading #AITrading #RiskManagement #TradingStrategy
