Investment Research for Everyone, Everywhere.
-
Updated
Nov 10, 2024 - Python
Investment Research for Everyone, Everywhere.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
🔎 📈 🐍 💰 Backtest trading strategies in Python.
Dolibarr ERP CRM is a modern software package to manage your company or foundation's activity (contacts, suppliers, invoices, orders, stocks, agenda, accounting, ...). it's an open source Web application (written in PHP) designed for businesses of any sizes, foundations and freelancers.
Terminal stock ticker with live updates and position tracking
Track and evaluate the performance of your investment portfolio across stocks, cryptocurrencies, and other assets.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
150+ quantitative finance Python programs to help you gather, manipulate, and analyze stock market data
🚀 💸 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 Java library for technical analysis.
Algorithmic Trading in Python with Machine Learning
Stock market tracker for hackers.
A collaboratively curated list of awesome Open-Source Intelligence (OSINT) Resources
Unofficial Documentation of Robinhood Trade's Private API
stock股票.获取股票数据,计算股票指标,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
📈 Get real-time stocks from TradingView
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
Python AutoML for Trading Systems and Sports Betting
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +…
Add a description, image, and links to the stocks topic page so that developers can more easily learn about it.
To associate your repository with the stocks topic, visit your repo's landing page and select "manage topics."