Build, Backtest & Evaluate Trading Strategies with Real Mathematical Discipline
Stop treating trading strategies as black boxes.
Algorithmic Trading & Financial Math with Python is an intermediate-level, self-paced course designed to teach the mathematics, statistics, Python techniques, and backtesting discipline needed to rigorously evaluate algorithmic trading strategies.
Instead of promising a “secret” profitable indicator, this course focuses on what actually matters: returns, risk, Sharpe Ratio, Maximum Drawdown, Monte Carlo simulations, realistic transaction costs, and unbiased backtesting.
You’ll progressively build and evaluate strategies using Python, pandas, NumPy, and backtesting tools while learning how to identify the biases that can make historical results look much better than they really are.
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£5.00