Showing 101-120 of 154 projects
A Python-based personal quantitative investment research and analysis package for financial market data and backtesting.
A collection of code and resources for analyzing and predicting stock market behavior using deep learning and machine learning.
A TypeScript-based system for algorithmic trading and investing in the stock market.
A Python AutoML library for building trading systems and sports betting models.
This repository contains stock market models and tools for financial analysis and investment.
A Python library for accessing stock data from the Xueqiu (Snowball) platform.
A Python library for accessing real-time stock and options data from various sources.
An open-source Python framework for implementing the Chanlun technical analysis methodology, supporting trading strategies and visualizations.
A Python script that fetches currently trending stocks on Reddit for developers interested in market trends.
A real-time stock ticker data visualization tool for the terminal, built with Rust.
A Python library that provides a simple and convenient interface to access TDX data, a popular stock trading data source in China.
This project uses reinforcement learning to train an AI agent to learn stock trading strategies.
A stock data scraper and strategy testing framework for the Chinese stock market.
A lightning-fast AI chatbot that provides live interactive stock charts, financials, news, and more, powered by Llama3-70b on Groq.
A Python library that provides a wrapper for pandas.DataFrame with inline stock statistics and indicators.
Open-source algorithmic trading platform for building and deploying automated trading strategies.
A Python library for reading financial data from various exchanges.
A Python module to fetch stock data from Yahoo Finance API for financial analysis and trading applications.
A collection of trading strategies and tools for the Gekko trading bot, with backtesting results.
Personae is a repo for implementing and experimenting with Deep Reinforcement Learning and Supervised Learning for Quantitative Trading.
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