Most traders ask AI "will it pump?" when it's really built for the grunt work around a trade.
Here's the stack, $ETH as the test pair, and where each piece stops.

1. On binance.com open Orders > Spot Order > Trade History and export 3 months. Put the CSV in Google Sheets and have ChatGPT or Claude group trades by setup and flag exits that broke your rules. It finds habits, not reasons you never logged.

2. Ask it for Python that pulls ETHUSDT 4h candles from Binance's public klines endpoint (no key) and tests one rule with a 0.1% fee per side (example values). It kills bad ideas cheaply, and overfits happily, so check a period it never saw.

3. Have it turn the rule into an order script and run it on Binance Spot Testnet first. For a live key, switch off withdrawals and restrict it to your IP. It codes what you asked, bugs included, so read every line.

4. Paste a block explorer CSV or a project page and ask for a summary. Fast, but blind to who owns a wallet or why.

Python, Sheets, the klines endpoint and Testnet cost nothing; a paid AI plan only matters for daily use.

It goes wrong when the model writes the backtest, grades it, and you trust the grade before risking real $ETH .

Which of these do you still do by hand?

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