I Tried Building a Trading Strategy with ChatGPT in 2 Days

Why It Matters

The experiment demonstrates AI can rapidly generate tradable strategies and tooling, but meaningful live performance still requires human-driven validation and market-specific tuning, underscoring limits of turnkey AI trading.

Summary

A trader challenged himself to build a market-ready trading strategy with only ChatGPT in two days, working about four hours total. He used AI to generate a mechanical breakout strategy—identifying low ATR/consolidations with breakouts above recent highs and a 50-EMA trend filter—and produced a backtesting script and TradingView indicator. Day-two work focused on tuning, diagnosing losers, and discovering the approach performs unevenly across stocks and pairs. He concluded the system needs instrument-specific context and further refinement rather than being a one-size-fits-all solution.

Original Description

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In this video, Etienne shares how he tried to build a complete winning trading strategy with ChatGPT in just 2 days while balancing a busy life and limited screen time. He walks through the messy process of testing ideas, spotting what failed, and figuring out why some markets worked while others completely broke the strategy.

Chapters

00:00 I Tried Building a Winning Trading Strategy with ChatGPT in 2 Days

01:22 Day 1 - define the strategy idea + tools to use

04:56 Day 2 - creating the scripts + testing the strategy

08:16 Wrap-up

#desiretotrade #tradingstrategy #chatgpttrading #tradingchallenge

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