基于Python的开源量化交易平台开发框架
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Updated
May 4, 2024 - Python
基于Python的开源量化交易平台开发框架
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Investment Research for Everyone, Everywhere.
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
A curated list of practical financial machine learning tools and applications.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Kotlin(Java)开源量化交易开发框架
Find big moving stocks before they move using machine learning and anomaly detection
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Algorithmic Trading in Python with Machine Learning
A program for financial portfolio management, analysis and optimisation.
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
Invest Alchemy is a trading assistant focused on ETF portfolios.
Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.
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