Ranked by Attention Score: stars gained over the last 180 complete days
71 repositories by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
TranslatedLLM-powered multi-market stock analysis system with multi-source market data, real-time news, decision dashboard, automated notifications, and cost-free scheduled runs.
"Vibe-Trading: Your Personal Trading Agent"
"AI-Trader: 100% Fully-Automated Agent-Native Trading"
Open Data Platform for analysts, quants and AI agents.
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
Free and Open Source Enterprise Resource Planning (ERP)
Free, open source crypto trading bot
TranslatedAn open-source quantitative trading platform development framework based on Python
Odoo. Open Source Apps To Grow Your Business.
Bindu: The identity, communication, and payments layer for AI agents.
TranslatedAKShare is an elegant and simple financial data interface library for Python, built for human beings! Open-source financial data interface library
Python toolkit for quantitative finance
A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
Translatedstock. Get stock data, calculate stock indicators, chip distribution, identify stock patterns, comprehensive stock selection, stock selection strategies, stock verification and backtesting, automatic stock trading, supports PC and mobile devices.
Open source software that helps you create and deploy high-frequency crypto trading bots
Download market data from Yahoo! Finance's API
Python Backtesting library for trading strategies
TranslatedAbu Quantitative Trading System (stocks, options, futures, Bitcoin, machine learning) An open-source quantitative trading and quantitative investment architecture based on Python
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
TranslatedQUANTAXIS: a purely local quantitative solution for stocks/futures/options that supports task scheduling and distributed deployment, covering data/backtesting/simulation/trading/visualization/multiple accounts
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
Polar — A billing platform for the intelligence era
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.
TuShare is a utility for crawling historical data of China stocks
ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
ValueCell is a community-driven, multi-agent platform for financial applications.
Zipline, a Pythonic Algorithmic Trading Library
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Oracle3: open-source trading engine and MCP server for prediction markets. Finds fee-adjusted no-arbitrage violations across related event contracts and trades them live on Kalshi, Polymarket and Solana, or on paper, under pre-trade risk limits. 13 MCP tools, JSON CLI, agent skills, 600+ tests.
A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.
High-performance TensorFlow library for quantitative finance.
modular quant framework.
Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
SHKeeper is a self-hosted and open-source cryptocurrency gateway payment processor. It's integrate with popular CMS, any e-commerce, your own code or product
Bitcart is a free and open-source self-hosted payment processor for BTC, LTC, BCH, XMR, ETH, TRX, USDT and more
A simple but powerful self-hosted finance tracker
A stock trading bot powered by Trump tweets
Portfolio optimization with deep learning.
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
上海期货交易所CTP接口 Shanghai Future CTP Interface CTP Python API Wrapper
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
Open-source event management, ticketing and membership platform for communities, clubs, independent venues and independent artists.
Deep neural network to extract intelligent information from invoice documents.
Python module to get stock data from Yahoo! Finance
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
Common financial technical indicators implemented in Pandas.
Python API for the Interactive Brokers on-line trading system.
📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.
A Steam trading library for python 3
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
An Algorithmic Trading Library for Crypto-Assets in Python
Lightweight Bitcoin payment processor written in easily deployable Python. Self custody donations and payments on-chain & Lightning network, directly connected to your own Bitcoin node! No middleman/custodian.
Scalable, event-driven, deep-learning-friendly backtesting library
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
Debt Algorand Standard Application
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
Python live trade execution library with zipline interface.
Contingency Random Number Generator — numbers with controllable fat tails, volatility clustering, and scale convergence
Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order
Decentralized agent memory for the Lightning economy. Nostr identity, L402 payments, MCP server.
This project tests bt(http://pmorissette.github.io/bt) and Quantopian Zipline(https://github.com/quantopian/zipline) as backtesting frameworks for coin trading strategy.