Basic financial indicators implementation using TA-Lib, yfinance
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Updated
Mar 21, 2026 - Python
Basic financial indicators implementation using TA-Lib, yfinance
This project utilizes machine learning techniques to predict stock prices by integrating diverse data sources including historical price data, technical indicators, sentiment analysis from news, social media, and macroeconomic indicators.
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Python wrapper for TA-Lib (http://ta-lib.org/).
High-performance ML pipeline for automated discovery of quantitative trading strategies using Numba JIT, XGBoost, and Decision Tree rule mining.
Streaming technical analysis indicators for Go
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TA-Lib helper functions for pivot and indicator calculations.
Top AI Stock Trading Bot 2026 🚀 | Free Automated Crypto & Forex Algo Trading Tools GitHub
TA-Lib: Technical Analysis Library (mirror)
Top AI Stock Trading Bot 2026 🚀 | Free Automated Crypto & Forex Algo Trading Tools GitHub
📊 Analyze and validate trading strategies with a high-performance backtesting engine using PySpark, processing thousands of backtests on real market data.
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