TVMcp
How to Backtest Pine Script with AI: A Practical Workflow
A practical, non-boring workflow to backtest Pine Script with AI and keep results reproducible instead of lucky.
Start with one hypothesis, not ten
Before AI writes a single line, define one hypothesis. Not five. Not twelve. One. Example: “volatility filter reduces drawdown on BTCUSDT 1h between two fixed dates.”
When traders skip this step, the backtest turns into a slot machine with better charts. The equity curve looks exciting, but nobody can explain why it worked.
Lock the experiment inputs
Freeze symbol set, timeframe, date window, and initial assumptions for fees and slippage. This is your control group.
If inputs keep moving while AI keeps iterating, you are not optimizing. You are speed-running confusion.
Run baseline first, then controlled variants
Ask AI for one baseline run and store that output. Only then test variants in small batches where each change has a clear reason.
A variant is worth keeping only if it improves more than one dimension: for example, similar net profit with lower drawdown and acceptable trade count.
Validate realism and leakage risk
High win rate can hide bad assumptions. Check fees, slippage, and fill behavior first. Then audit repainting and lookahead leakage.
If the strategy survives realistic assumptions, congratulations. You are now doing research, not fan fiction.
Publish a reproducible run packet
Save script version, inputs, date range, and summary metrics together. Anyone on the team should be able to rerun the same test and get the same answer.
Reproducibility is the real alpha in AI-assisted backtesting teams.