Backtesting.py - Backtest Trading Strategies in Python - Part 1

Learn to implement and test trading strategies using the Backtesting.py library in Python through this practical tutorial. Explore the fundamentals of backtesting financial strategies by setting up the Backtesting.py framework and understanding its core components. Discover how to structure trading logic, define entry and exit conditions, and evaluate strategy performance using historical market data. Master the essential workflow of loading financial datasets, implementing custom trading algorithms, and running comprehensive backtests to validate strategy effectiveness. Gain hands-on experience with Python-based quantitative finance tools while building a foundation for systematic trading strategy development and performance analysis.