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Financial data platform for analysts, quants, and AI agents
AI-powered quantitative investment platform for finance and trading
vn.py is an open-source quantitative trading platform development framework based on Python.
Curated list of quantitative finance libraries and resources for developers.
An AI-powered quantitative investment research platform for algorithmic trading and backtesting.
A collection of full-time software engineering, quantitative, and product management roles for new graduates.
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 Python-based platform for stock data analysis and trading, providing tools for backtesting and automated trading.
Python wrapper for the TA-Lib technical analysis library, useful for financial pattern recognition.
A comprehensive open-source quantitative trading framework for stocks, futures, and options with data, backtest, simulation, and more.
A Python toolkit for quantitative finance, including tools for derivatives, risk management, and trading strategies.
A comprehensive Python library for quantitative trading strategies, including indicators, pattern recognition, and portfolio optimization.
An open-source platform for developing algorithmic and quantitative trading bots for stocks, forex, crypto, and options.
A curated list of practical financial machine learning tools and applications for developers.
A Python library for quantitative trading and algorithmic trading strategies.
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.
A Python library for quantitative trading and stock analysis.
The QuantLib C++ library is a comprehensive framework for quantitative finance, providing tools for financial modeling and analysis.
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