Trending repositories for topic investment
A curated list of practical financial machine learning tools and applications.
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...
Code for Machine Learning for Algorithmic Trading, 2nd edition.
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
A program for financial portfolio management, analysis and optimisation.
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
A curated list of practical financial machine learning tools and applications.
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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...
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
A program for financial portfolio management, analysis and optimisation.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
A curated list of practical financial machine learning tools and applications.
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...
Code for Machine Learning for Algorithmic Trading, 2nd edition.
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
A program for financial portfolio management, analysis and optimisation.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
A curated list of practical financial machine learning tools and applications.
A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
A collection of methods for solving Finance/Accounting equations, implemented in C#.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
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...
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.
A program for financial portfolio management, analysis and optimisation.
Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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...
A curated list of practical financial machine learning tools and applications.
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
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.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
A program for financial portfolio management, analysis and optimisation.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
A fixed income library for pricing bonds and bond futures, and derivatives such as IRS, cross-currency and FX swaps. Contains tools for full Curveset construction with market standard optimisers and a...
Stocks, Futures and Options positions and market portfolio tracker (includes optional Interactive Brokers IBKR TWS API integration)
Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
Qlib-Server is the data server system for Qlib. It enable Qlib to run in online mode. Under online mode, the data will be deployed as a shared data service. The data and their cache will be shared by ...
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
DcaPal is a free, no registration, online tool to help you keep your portfolio balanced with dollar cost averaging investments
A curated list of practical financial machine learning tools and applications.
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.
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...
Code for Machine Learning for Algorithmic Trading, 2nd edition.
A curated list of practical financial machine learning tools and applications.
:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
Portfolio Optimization and Quantitative Strategic Asset Allocation in Python
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Free and open-source stock tracking website for America's biggest money managers.
🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.
A program for financial portfolio management, analysis and optimisation.
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
量化投资学习资料整理：学界（行为金融、投资者情绪、常用程序函数，etc）；业界（公开资料整理，数据源，回测框架，卖方金工研报及复现，量化研究学习路线，etc）
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistanc...
A fixed income library for pricing bonds and bond futures, and derivatives such as IRS, cross-currency and FX swaps. Contains tools for full Curveset construction with market standard optimisers and a...
FinHack®，一个易于拓展的量化金融框架，它在当前版本中集成了数据采集、因子计算、因子挖掘、因子分析、机器学习、策略编写、量化回测、实盘接入等全流程的量化投研工作。
Stocks, Futures and Options positions and market portfolio tracker (includes optional Interactive Brokers IBKR TWS API integration)
Pillar is a commercial real estate investment platform designed to facilitate discovery, diligence, execution, and ongoing management of direct deals for institutional CRE investors.
A minimalistic companion (CLI & web) to organize your investment portfolio, simulate its future, and reach your life goals.
📈 Midas is a free and open source Moving Average Trading backtest simulator.
DcaPal is a free, no registration, online tool to help you keep your portfolio balanced with dollar cost averaging investments
Awesome list of VCs investing in commercial open-source startups 💸
A curated list of practical financial machine learning tools and applications.
Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.