About Quant for Free

Free, independent tools and guides for people who build their own systematic trading strategies — with an unusual habit of publishing the results that don't work.

Quant for Free exists for a narrow but real problem. The methods that actually separate a genuine edge from a lucky backtest — the Deflated Sharpe Ratio, out-of-sample and walk-forward validation, honest cost modelling — live in dense academic papers and paid code libraries. They are rarely available in a form a self-directed trader can simply open in a browser, understand, and use. This site closes that gap, for free.

What you'll find here

• Learn — a free eight-part course that takes a complete beginner from "what is systematic trading?" through the statistics and performance metrics that matter, the data traps that fool newcomers, a first backtest, the full validation gauntlet, and surviving risk. Plain language, hand-drawn diagrams, no maths degree required.
• Strategy teardowns — a growing library (a dozen and counting) of popular published strategies rebuilt from scratch in Python and tested honestly, with realistic costs, out-of-sample data and the Deflated Sharpe Ratio. MACD, Connors' RSI(2), Dual Momentum, momentum breakouts, statistical arbitrage, managed-futures trend-following, volatility targeting — each credited to its source and reported whether it survives the test or not. Most don't, and we say so.
• Calculators — browser-based diagnostics that implement published methods faithfully and show their working: the Deflated Sharpe Ratio, a Monte Carlo position-size and risk-of-ruin model, and a net-versus-gross backtest cost calculator.
• A documented methodology so you can see exactly how everything is validated, made, and checked.

How this is made

The site is written and maintained by ridingyo, an independent systematic-trading developer. It isn't a content farm and it isn't theory-only: the teardowns are original, hands-on research, run on real market data through a proper backtesting pipeline. Every calculator implements its source method faithfully and is checked numerically before it ships; every teardown is a clean-room reimplementation that credits the original author and publishes the honest result — win, lose, or "it's more complicated than that." Nothing here is behind a paywall, and the calculators run entirely in your browser: your inputs are never sent anywhere.

What this site is not

There are no trade ideas here, no signals, and no recommendations to buy or sell anything. The focus is the engineering and statistics of validation — how to test whether a strategy is real — not what to trade. Where a number is an estimate or an approximation, it is labelled as one.