
I Tested 50 AI Trading Bots With Claude. One DOMINATED.
This video demonstrates how the creator collected 50 trading strategies from four sources, automated the testing with Claude (Anthropic's AI), and identified the best ones.
Sources for Free Strategies
- TradingView: Community indicators with Pine Script
- Stonehill Forex: NNFX method with free indicator library
- QuantConnect: Ready-made code and leaderboard strategies
- Quantedia: Academic research papers turned into quant strategies
Testing Process
- Extracted strategies from all sources and converted them into a uniform format
- Ran 325 backtest runs across 50 strategies
- Visualized results on a dashboard (return, drawdown, win rate, profit factor)
Results
- Top strategy: +3,447 % return, but 64 % max drawdown – not sustainable
- Recommended strategies (highlighted in yellow): High profit factor (1.78 and 1.54), low drawdown, steady equity curve
- Many strategies lost money – good theory ≠profitable practice
Next Steps for the Best Strategy
- Manual verification on TradingView (e.g., +328 % over 6 years, but only 4 trades)
- Paper forward test on live current data
- If successful, run a live bot with real money (start small, then scale)
- Understand and optimize: Why does it work? Adapt for different market regimes
Conclusion
Success lies not in backtesting alone, but in understanding the strategy and forward testing. The complete list of tested strategies (with sources) will be available in the free school. AI like Claude greatly simplifies automating tests and analyzing large sets of strategies.






