Showing 41-60 of 61 projects
A comprehensive guide to using the BackTrader Python library for quantitative trading and machine learning.
Open-source Rust framework for building event-driven live-trading & backtesting systems
Cryptocurrency Exchange REST API SDK Wrapper Implemented With Golang, Supporting OKX and Binance.
A collection of stock analysis tools across various programming languages and platforms.
This Python project uses symbolic regression to efficiently extract factors in the Chinese stock and crypto markets.
A collection of full-time software engineering, quant, and product management roles for new graduates.
A machine learning repository for quantitative finance and asset management strategies.
A C++ fork of the llama.cpp project with additional SOTA quants and improved performance for AI-focused developers.
A newsletter focused on quantitative and algorithmic trading, portfolio analysis, and investing.
An open-source Python framework for implementing the Chanlun technical analysis methodology, supporting trading strategies and visualizations.
A Python framework for the Wondertrader quantitative trading platform, focused on high-frequency trading and finance.
A high-frequency quantitative trading platform in C++ for quant developers.
A multi-agent financial intelligence platform for real-time news analysis, sentiment fusion, and alpha factor mining.
A collection of resources for quantitative finance, including factor-based stock quantitative framework and AI-finance related materials.
A quant framework for stock trading, with support for cryptocurrency and fintech analysis.
The official Python SDK for the Alpaca API, providing algorithmic trading and quantitative finance tools.
A Python SDK for StrategyEase, a quantitative trading platform and API for automated trading strategies.
A Python-based quantitative trading platform for cryptocurrency markets, with CCXT framework and trading bot capabilities.
A collection of scripts and notebooks to help you get started with Numerai's quant finance platform.
An open-source portfolio backtesting engine for quantitative finance and investment analysis.
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