Introduction to Algorithmic Trading with Python

Interested in using programming to analyze financial markets and test trading ideas? This course provides the foundational knowledge to translate your concepts into testable Python code, moving beyond manual analysis and guesswork. You will learn to systematically acquire and handle financial data, implement common trading indicators, and construct a framework to backtest your strategies. By the end, you'll be able to evaluate the historical performance of a trading idea and understand the core mechanics of an automated trading system. What you'll learn: - Understand core concepts of financial markets, common trading styles, and technical analysis. - Acquire and process historical market data for stocks, forex, and cryptocurrencies using Python. - Implement popular trading indicators and signals, such as moving averages and momentum oscillators. - Build a basic backtesting engine to evaluate the historical performance of your strategies. - Apply fundamental risk management principles like position sizing and stop-loss logic. - Practice setting up a clean and managed Python environment for your trading analysis projects. Starting with the essential terminology of trading and the basics of handling time-series data, you will progressively build and test complete, rules-based trading strategies. This course is designed for beginners. No prior experience in finance or trading is required, though a basic familiarity with Python programming will be helpful. Begin building your foundation in quantitative trading today.