In today’s episode, we break down the performance of our three MT5 automated trading bots from the May 19th parallel test. While the total profit was a modest +118 yen, the day provided a masterclass in how different AI architectures handle market volatility.
We dive deep into the performance of each bot to see what worked and what didn’t:
LLMBridgeTrader (EURUSD): The standout performer of the day. Acting as a “trading planner” rather than a simple signal generator, it achieved a 91.7% win rate (11 wins, 1 loss) for a profit of +972 yen. Its ability to handle complex position operations—including holding and reversing—proved highly effective.
BoundSniper Bot (USDJPY): Reliability was the theme here. Functioning as an execution bot for TradingView signals, it went 6 for 6 with no losses, contributing a steady +352 yen to the total.
GateGrid AI (GBPUSD): The most challenging result of the day. Despite its advanced filtering using CatBoost and Ollama, it ended with a -1,206 yen loss. The bot struggled with a “small wins, big losses” pattern, highlighting that entry filters alone aren’t enough to manage a grid-based strategy.
The biggest takeaway from this session is that “selection power” (filtering entries) and “loss control” (managing exits) are two entirely different skills.
Join us as we discuss the specific improvements planned for GateGrid’s loss management and how we intend to categorize LLMBridgeTrader’s successes by setup type to further refine its AI logic. Whether you are interested in ML-hybrid bots or LLM-driven trade planning, this episode offers a transparent look at the front lines of AI trading.
#FX #MT5 #AlgorithmicTrading #AITrading #LLM #AssetManagement
