Trading

A guide to algorithmic trading: building, backtesting, and deploying automated strategies using Python, machine learning, and quantitative analysis.

Common trading strategies explained: day trading, swing trading, position trading, and risk management. What each one involves and where it tends to go wrong, not a promise of profit.

A look at trading platforms, brokers, and tools for algorithmic trading, with the trade-offs of each. Some links may be referrals; they don't change the verdict.