Showing 41-60 of 94 projects
An open-source wiki for quantitative finance knowledge, aiming to bridge the information gap between domestic and international industries.
A high-performance open-source quantitative trading research framework for finance and investing based on C++/Python.
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.
Quantitative research and educational materials for developers, not focused on AI tools.
A modern finance application offering advanced market analytics, investment research, and economic data tools.
A Python library with most common stock market technical indicators, making it easy to implement quantitative finance and algorithmic trading.
Linear Algebra with Python lecture notes for data scientists and quantitative analysts
A Python library for quantitative trading, focused on tools and strategies for algorithmic investing.
An open-source quantitative trading platform powered by reinforcement learning for finance and fintech developers.
A Python-based backtest engine for investment management
ArcticDB is a high-performance, serverless DataFrame database for the Python data science ecosystem.
Open-source quantitative finance course that helps people quickly master quantitative finance knowledge and Python-based quantitative development.
A comprehensive guide to using the BackTrader Python library for quantitative trading and machine learning.
A Python library for interacting with the Robinhood financial app, enabling crypto, options, and stock trading.
Quantitative trading system with ML analysis, real-time data processing, and risk management
Open-source Rust framework for building event-driven live-trading & backtesting systems
A collection of stock analysis tools across various programming languages and platforms.
A Python library for making stock predictions using machine learning and historical stock data.
Predictive stock trading using unsupervised and supervised learning techniques in Python.
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