When you develop a strategy, sometimes it might not look as good as it should be, usually because the informational edge you have is incomplete. and there exists a condition, where if added improves your performance significantly.
Here are some tips most Algo traders avoid :
Before throwing the whole thing on Claude/codex, try to reform the hypothesis of the strategy and turn it into a mathematical model, that truly can be tested and validated since it is NUMBERS, not plain English.
After that, try to understand and investigate the strategy deeply ( i usually take 10 days through this ), try to identify its strengths and weaknesses, its unfavorable regimes….etc
Before coding:
Manually, visualize the last 20 taken trades, code the strategy, recheck the code structure with another AI model ( a small difference in calculation can ruin the whole logic )
After coding and running the backtest, compare the last 20 trades to the 20 trades you visualized manually, to make sure AI coded the right strategy…. Most of the time, you will find AI playing the hamster game with you.
It can take you up to 20 days to get all these done, nothing to rush to otherwise.