How to Build Technical Analysis and Backtesting Workflow with pandas-ta-classic, Strategy Signals, and Performance Metrics
This tutorial demonstrates how to build a technical analysis and trading strategy workflow using the pandas-ta-classic library. It covers installing necessary packages, downloading historical stock data, and calculating various technical indicators like SMAs, EMAs, RSI, and MACD. The process also includes creating custom indicators, combining daily and weekly signals, defining entry and exit logic, backtesting the strategy, and visualizing the results. AI
IMPACT Provides a guide for developers to build automated trading strategies using Python libraries.