Building a trading bot with ChatGPT: why most fail

The problem is not in the code

ChatGPT writes good MQL5. Syntax is correct, OrderSend works, the stop loss is in. Compiles first try.

The problem is what ChatGPT does not do: ask what your goal is, what your risk tolerance is, what market regime the bot works in, or whether the strategy has any edge at all.

Reason 1: no market regime check

Most 'ChatGPT bots' work on one assumption: price continues in the direction of a breakout. Works fine in trending markets, completely breaks in ranging markets.

A professional bot has a filter that detects regime (ATR, volatility regime, ADX) and switches behavior. ChatGPT does not build that without exact prompting, and even then it is fragile.

Reason 2: backtest illusion

ChatGPT lets you backtest and shows you 80% win rate, 15% per month return. You go live, week 1 you lose 12%.

Reason: backtest uses clean historical data without spreads, slippage or broker manipulation. Live trading has all those things. A bot that wins 80% in backtest often does 50% live.

Reason 3: no psychological guard

A ChatGPT bot does exactly what you tell it. Lose three trades in a row? Keeps trading. Drawdown of 15% in a week? Does not stop.

A professional bot has daily DD limits, weekly DD limits, and cooldowns after losing streaks. ChatGPT only mentions these concepts when explicitly asked, and even then rarely integrated into the order logic.

What does work

ChatGPT as a tool to learn MQL5 syntax, write snippets you integrate yourself, summarize backtest output. Not as the builder of your whole strategy.

The bot itself should come from someone who has actually traded for years, on real accounts, with real money. Not from an LLM trained on publicly available strategies that never worked.