How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics

Short summary

This tutorial walks through building a complete technical analysis and trading strategy workflow using pandas-ta-classic library. You'll download historical stock data with yfinance, clean OHLCV data structures, explore available indicators, and calculate popular metrics like SMA. Designed for developers implementing algorithmic trading systems with backtesting capabilities and performance measurement.

• •Use pandas-ta-classic library with yfinance to download and clean historical OHLCV stock data
• •Calculate technical indicators (SMA and others) and build trading signals
• •Implement backtesting workflow with performance metrics

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