Trading Strategy Development & Backtesting
Design, implement, and rigorously backtest algorithmic trading strategies using historical data to evaluate performance, risk, and robustness.
4 courses
Learn to build, validate, and backtest trading algorithms using scientific methods to ensure your strategies remain robust across various global markets.
Learn essential quantitative aptitude concepts, formulas, and shortcut techniques to solve profit, loss, and discount problems quickly and accurately under exam pressure.
Master subsequence detection algorithms in Go to analyze stock logs and programmatically verify if performance goals are met.
Learn how to evaluate trading ideas using historical data and modern analytical techniques to build and validate data-driven strategies.