There are 98 repositories under investment topic.
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.
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
🚀 💸 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 Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Find big moving stocks before they move using machine learning and anomaly detection
A program for financial portfolio management, analysis and optimisation.
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]
Invest Alchemy is a trading assistant focused on ETF portfolios.
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Free and open-source stock tracking website for America's biggest money managers.
Free WordPress Plugin: This free investment calculator considers the initial and ending balances, return rate, and investment time when evaluating various investment circumstances. www.calculator.io/investment-calculator/
Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.
Awesome list of VCs investing in commercial open-source startups 💸
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)
Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.
A collection of methods for solving Finance/Accounting equations, implemented in C#.
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 all the clients. The data retrieval performance is expected to be improved due to a higher rate of cache hits. It will consume less disk space, too.
Crawler for Fundamental analysis platform for BOVESPA stocks, generating a score for each share according to the selected criteria on the indicators.
📈 Better Quant
📈 PatternPy: A Python package revolutionizing trading analysis with high-speed pattern recognition, leveraging Pandas & Numpy. Effortlessly spot Head & Shoulders, Tops & Bottoms, Supports & Resistances. For experts & beginners. #TradingMadeEasy 🔥
MorningStar.com scraper that consolidates tens of thousands of financial records into a SQLite relational database. Class 'dataframes' easily converts the SQLite data into pandas DataFrames (see Jupyter notebook for examples)
A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts