Developer claims to beat AI trading bots using mathematical strategy; releases open-source tool sagan-trade

A developer published sagan-trade, an open-source Python package (available now on PyPI), claiming to outperform AI-powered trading algorithms using mathematical techniques rather than machine learning.

Instead of relying on neural networks or pattern-matching like most AI traders, this approach uses deterministic math (equations with fixed rules) to make trading decisions, which means it behaves predictably and doesn't require constant retraining on new market data.

For retail traders and small trading firms, this matters because it offers a free alternative to expensive proprietary AI trading systems—but only if the mathematical strategy actually works in live markets (which the single post with 1 comment suggests is still unproven at scale).