Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
- trading-strategies
- trading-robots
- trading-platform
- algorithmic-trading-engine
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Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
ValueCell is a community-driven, multi-agent platform for financial applications.
The personal finance app for everyone (by everyone)
Online Accounting Software
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Open Source Wealth Management Software. Angular + NestJS + Prisma + Nx + TypeScript 🤍
Wallos: Open-source, self-hostable personal subscription tracker. Visualize your recurring expenses, manage your budget, and save money.
The QuantLib C++ library
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Track stocks, crypto, and derivatives prices and positions in real time from your terminal
ezBookkeeping is an open source, powerful, self-hosted personal finance app that is easy to use.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
High-performance TensorFlow library for quantitative finance.
Performance analysis of predictive (alpha) stock factors
modular quant framework.
Your web application for managing personal data.
💵 Independent financial accounting with intelligent reporting, alternative to Quickbooks, Xero, Wave.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model