Trading systems for people who read the backtest.

Open-source ML tools and commercial trading software, built by engineers who have shipped production data science for Walmart, Fiat-Chrysler, Deloitte, and Fidelity Information Services.

01 / Open Source · Active AlphaPy Pro

The modern Python 3.12+ ML framework for speculators. MetaLabeling, NLP sentiment features, MarketFlow pipeline, ensemble stacking across scikit-learn, XGBoost, LightGBM, CatBoost. Apache 2.0.
Python 3.12+ · Apache 2.0

02 / Open Source · Classic AlphaPy

The original Python ML framework, still up and downloaded 185,000+ times. A declarative YAML pipeline around scikit-learn, XGBoost, LightGBM, and Keras. Stable and supported.
YAML pipeline · 185K+ downloads

03 / Commercial TradeStation EasyLanguage

Our strategy code for TradeStation, ported from research notebooks and parameterized for live trading.
EasyLanguage · Live-ready

Hypothesis first

Strategies start as ideas, not backtests. We design the signal first, validate second.

Walk-forward only

No single-split train/test curves on this site. Every result is held forward in time.

Costs included

Published results include slippage, commissions, and the out-of-sample window.

Post-mortems shipped

If a strategy breaks, we publish the post-mortem. Survivorship bias is the enemy.

Audience

For systematic traders who want to read the code before they trust the curve.