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I gave **ChatGPT 24 hours to build an AI trading bot capable of beating the best trading bot I’ve developed over the past 5 years.**
My champion strategy has produced a **7,192% backtest** and is up more than **78% trading real money this year**.
ChatGPT received the same markets, the same risk rules, the same fees and slippage, plus access to TradingView, TradingKit, an optimizer, thousands of backtests and the tools I personally use to research and build algorithmic trading strategies.
It had one job:
**Build a better AI trading bot than mine.**
And at one point during this experiment, I genuinely thought ChatGPT had done it.
But a huge backtest number means absolutely nothing until you start pulling the strategy apart.
That is exactly what we do in this video.
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## In this video you’ll discover:
✅ How I gave ChatGPT the tools to autonomously build and backtest AI trading bots
✅ How ChatGPT searched TradingView indicators and optimized strategies for 24 hours
✅ The exact benchmark my best trading bot had to defend
✅ How ChatGPT produced backtests showing tens of thousands of percent returns
✅ The AI trading bot that eventually reached an apparent **8,110% profit**
✅ Why profit factor, drawdown, trade count and robustness matter more than headline returns
✅ How I compare AI-generated strategies against my real trading systems
✅ The hidden problem that appeared when we tested ChatGPT’s strategy on more market data
✅ Why overfitting destroys apparently profitable AI trading bots
✅ The rules I use before putting any algorithmic trading strategy into real-money trading
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## ⏰ Video Chapters
0: 00 – ChatGPT vs My Best AI Trading Bot
0: 45 – Meet My 7,192% Champion Trading Strategy
1: 54 – Giving ChatGPT the Same Tools & Rules
2: 53 – Connecting ChatGPT to TradingKit & TradingView
5: 21 – The 24-Hour AI Trading Bot Challenge Begins
6: 24 – Halfway Results: 40,000% Backtests?
7: 48 – 24 Hours Later: ChatGPT’s Best Strategy
9: 47 – ChatGPT Builds an 8,110% AI Trading Bot
10: 35 – ChatGPT vs My Trading Bot Side by Side
12: 52 – The Problems I Found
13: 37 – The Full Backtest Changes Everything
14: 16 – Did ChatGPT Actually Beat My Bot?
15: 24 – My Rules for Testing AI Trading Bots
17: 21 – Would I Trust ChatGPT to Build My Strategies?
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Indicators don’t make money.
**Strategies do.**
And an impressive AI trading bot backtest doesn’t mean you have found a profitable trading system.
Every strategy I consider trading has to survive proper backtesting, fees, slippage, sufficient trade count, drawdown limits and—most importantly—data it wasn’t optimized to beat.
I’ve personally backtested more than **2,000 trading strategies** over the past five years, and AI has completely changed how quickly I can research, build and test new systems.
What used to take days can now take minutes.
But AI doesn’t remove the need for proper testing.
It makes proper testing even more important.
⚠️ Everything in this video is for education only and is not financial advice. Never trade an AI-generated strategy simply because the backtest looks profitable. Backtest it, forward test it, understand the logic and control your risk.
🔥 If you’re interested in **AI trading bots, ChatGPT trading, TradingView strategies, algorithmic trading, automated trading, backtesting, TradingKit, Pine Script, MCP servers and quantitative trading**, subscribe because we’re testing these systems with real data every week.
The edge isn’t blindly asking AI to trade.
The edge is giving AI the right tools, setting strict rules and then trying as hard as possible to prove its strategy wrong.
**Systems over signals.
Data over hype.
Test everything.**
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## 💡 Tools Mentioned
ChatGPT
ChatGPT Desktop
Codex
TradingView
TradingKit.com
Trader.dev
Pine Script
MCP Servers
Strategy Optimizer
Algorithmic Trading Tools
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