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Expectancy, Kelly criterion, Monte Carlo, backtesting — systematic edge quantification
Understand quantitative approaches to trading. Learn how systematic traders use mathematics, statistics, and probability to build consistent edges in the markets.
Master the expectancy formula — the mathematical foundation of every profitable trading system. Calculate your true edge: (Win% × Avg Win) - (Loss% × Avg Loss).
Learn optimal position sizing using Kelly Criterion. Understand full Kelly, fractional Kelly, and why most institutional traders use 25-50% Kelly for capital preservation.
Master mean reversion strategies used by quantitative funds. Learn z-score analysis, Bollinger Band reversion, pairs trading, and statistical arbitrage approaches.
Understand momentum as a quantitative factor. Learn time-series momentum, cross-sectional momentum, and how trend-following CTAs generate returns.
Learn rigorous backtesting methodology. Avoid survivorship bias, look-ahead bias, overfitting, and understand statistical significance testing for trading strategies.
Master Monte Carlo analysis for trading. Simulate thousands of possible equity curves to understand drawdown probability, ruin risk, and confidence intervals.
Learn to manage your strategy based on equity curve behavior. Understand when to increase/decrease size, when to pause, and equity curve trading rules.
Master walk-forward analysis — the gold standard for strategy validation. Learn in-sample/out-of-sample testing, parameter stability, and avoiding curve-fitting.