🚨 BREAKING: ChatGPT can now stress-test your trading strategy like...

Upload your price history as a CSV and use these 7 prompts:
"Using the attached price data for [PAIR OR TICKER] on the [TIMEFRAME] chart, build five simple rule-based strategies and backtest each with [FEE %] fees per trade. Reject any with fewer than 100 trades, a drawdown over 20%, a profit factor under 1.1, or that fails to beat buy and hold over the same period. Show me only the survivors, with the rules written out in plain English."
"Take the best surviving strategy. Tune its settings on [START YEAR] to [END YEAR] only. Then run those exact settings on everything after [END YEAR] without changing a single number. Show both results side by side and tell me honestly if the second one looks like the first."
"Backtest the strategy once with all rules. Then run it again, removing one rule each time. Put every result in one table and tell me which rule the strategy depends on, and which rules make no difference and should be deleted."
"Split the backtest into periods where the market was trending up, trending down and moving sideways. Show profit factor, drawdown and number of trades for each. Tell me in one line which market this strategy should never be run in."
"Using this strategy's win rate and its average win against average loss, calculate the Kelly size. Halve it. Tell me what percentage of a [ACCOUNT SIZE] account that means per trade in money, and the most I could lose in a bad week at that size."
"With this win rate over this many trades, give me three numbers. How many losses in a row are normal, how many are rare but expected, and how many mean the strategy is probably broken. Show the maths so I can check it."
"Write me the rules for pausing this strategy, based on the backtest. The drawdown that pauses it, the rolling win rate that pauses it, and the number of trades I should wait before judging either. Then, each time I paste my last 20 live trades, check them against those rules and tell me pause or continue, nothing else."
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