Top 38 investment open source projects

基于Python的开源量化交易平台开发框架

Crawler for Fundamental analysis platform for BOVESPA stocks, generating a score for each share according to the selected criteria on the indicators.

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

프로그래머가 투자하는 법

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.

Find big moving stocks before they move using machine learning and anomaly detection

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Find the true time cost of buying something with DSTM - The Opportunity Cost Calculator

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

基金投资管理回测引擎

Java开源量化交易开发框架

Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI ]

A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

A program for financial portfolio management, analysis and optimisation.

Python quantitative trading and investment platform; Python3 based multi-threading, concurrent high-frequency trading platform that provides consistent backtest and live trading solutions. It follows modern design patterns such as event-driven, server/client architect, and loosely-coupled robust distributed system. It follows the same structure and performance metrix as other EliteQuant product line, which makes it easier to share with traders using other languages.

C/C++ 11 High frequency quantitative trading platform. It follows modern design patterns such as event-driven, server/client architect, dependency injection and loosely-coupled robust distributed system. It is self-contained and can be used out of box. At the same time, it serves as server side for other EliteQuant projects.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

A curated list of practical financial machine learning tools and applications.

class for simulation of stock investing portfolios based on historical data

Оценка эффективности инвестиций с учетом комиссий, налогов (удержанных и ожидающихся), дивидендов и купонов.

No description or website provided.

A CLI tool, built to detect updates to the products on eFarms, FarmCrowdy, ThriveAgric and AgroPartnerships

Official VIVO Repository

A value investing tool based on Warren Buffett, Joseph Piotroski and Benjamin Graham thoughts

RavenCoin Wallet including CPU and GPU miners! programs are directly from Ravencoin and official miner sources

Synced content from our gitbook site.

Simplified tracking of your investments

🤖 Predict the stock market with AI 用AI预测股票市场

Python client library to download historical data from finam.ru

Extensible Algo-Trading Python Package.

Basic Discounted Cash Flow library written in Python. Automatically fetches relevant financial documents for chosen company and calculates DCF based on specified parameters.

No description or website provided.

The sample question for Interview a job in Binary options

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

Pair Trading View - .NET application for visual analysis of synthetic financial instruments based on statistical models.