Showing 1-20 of 28 projects
AI-powered quantitative investment platform for finance and trading
Curated list of quantitative finance libraries and resources for developers.
An AI-powered quantitative investment research platform for algorithmic trading and backtesting.
Open-source quantitative trading system for stocks, options, futures, and Bitcoin, built with machine learning.
An LLM-driven stock analysis platform with real-time data, news, and decision-making dashboards.
A comprehensive Python library for quantitative trading strategies, including indicators, pattern recognition, and portfolio optimization.
An advanced cryptocurrency trading bot written in Python for algorithmic trading strategies.
A curated list of awesome libraries, packages, strategies, books, blogs, and tutorials for systematic trading.
Portfolio analytics library for quantitative finance, built with Python
Open-source crypto trading bot with integrated charting, data-mining, backtesting, and multi-server deployment
A modular quantitative trading framework for algorithmic trading, backtesting, and financial analysis.
A high-performance, low-latency C++ framework for quantitative trading and high-frequency trading.
A high-frequency trading and market making backtesting and trading bot built with Rust for crypto trading on Binance and Bybit.
A quantitative finance framework for algorithmic trading, portfolio management, and asset pricing.
A curated list of libraries and resources for systematic trading across crypto, stocks, futures, and more.
An open-source wiki for quantitative finance knowledge, aiming to bridge the information gap between domestic and international industries.
A repository for quantitative analysis, strategies, and backtests for algorithmic trading and finance research.
A curated collection of resources for quant developers, quantitative researchers, and quant traders in finance.
An open-source quantitative trading platform powered by reinforcement learning for finance and fintech developers.
A Python-based backtest engine for investment management
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