Education

Learn to Trade
Systematically.

From quant theory to live deployment. Structured courses for traders who want to understand the methodology behind algorithmic strategies — not just copy-paste someone else's code.

Curriculum

Course modules

Beginner6 lessons · ~4h

Quantitative Trading 101

What systematic trading actually is, why it beats discretionary in the long run, and how to think like a quant. No math PhD required.

What edge really means
Why discretionary fails at scale
Your first hypothesis
Backtest basics and common mistakes

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Intermediate8 lessons · ~5h

Backtesting Done Right

The most important skill in systematic trading. IS/OOS methodology, walk-forward testing, avoiding look-ahead bias, and recognizing overfitting before it burns you in production.

In-sample vs. out-of-sample
Walk-forward validation
Look-ahead and survivorship bias
Statistical significance: t-stat and p-values
Monte Carlo stress testing

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Intermediate5 lessons · ~3hComing soon

From Backtest to Production

Your backtest passes all the checks — now what? Order execution, slippage modeling, position sizing, and building the infrastructure to run a strategy 24/7.

Execution basics
Slippage and market impact
Position sizing: Kelly and risk parity
Monitoring a live strategy

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Advanced7 lessons · ~6hComing soon

Reading Market Regimes

Strategies don't work in all market conditions. Learn to detect regimes using Hidden Markov Models, volatility clustering, and trend indicators — and build strategies that adapt.