Claude’s Fable 5 just got unbanned.
I just ran 142,537 backtests through it, and 99.1% of them failed.
Having 140,000 open-source backtests sounds like an asset, but it actually creates a massive problem: a paradox of choice. Giving that many strategies to a human and asking them to find an edge is almost impossible.
So I delegated the job to Fable 5.
Not with theory.
Not with hype.
Not with fake screenshots.
We built an AI brain in Obsidian, mapped out the connections between indicators, and let Claude sift through the data. It used an over-fit detector, removed cherry-picked data, and filtered out strategies with low profit factors or bad Sharpe ratios.
We went from 140,000 strategies down to just 196 robust survivors.
I’m showing you all of it, plus exactly what indicators, timeframes, and pairs actually give you an edge in the market.