In today’s episode, we break down the May 20th results of our three MT5 automated trading bots. While the total daily result was a loss of -813 yen, it was far from a total failure. In fact, two out of the three bots ended the day in profit, making this a highly valuable learning experience.
We dive into the specific behaviors of each bot to understand what went right and what needs fixing:
BoundSniper Bot (USDJPY): Finished with a steady profit of +60 yen across two winning trades. Functioning purely as an execution bot for TradingView signals, it showed the strength of simply following the rules and securing small wins without unnecessary complications.
LLMBridgeTrader (EURUSD): Ended the day with a +89 yen profit. Designed to let AI control complex position operations like OPEN, HOLD, CLOSE, and REVERSE, its biggest achievement today was keeping its single losing trade to a mere -5 yen. It proved that in automated trading, keeping your losses small is just as important as winning.
GateGrid AI (GBPUSD): The primary cause of the day’s overall deficit, finishing at -962 yen. Despite utilizing advanced tools like CatBoost and Ollama to filter entries strictly, it fell into a classic “win small, lose big” pattern.
This episode highlights a crucial lesson: entry filters alone are not enough. We discuss the difficulties of managing grid-based bots when the market moves against you, and why evaluating exit points and grid expansion limits is vital. Join us as we explore why this was a “valuable loss” and outline our upcoming improvements for GateGrid AI’s exit controls and loss management.
#FX #MT5 #AlgorithmicTrading #AITrading #RiskManagement #MachineLearning
