TradingAgents: Multi-Agents LLM Financial Trading Framework

Financial data platform for analysts, quants and AI agents.

Real-time global intelligence dashboard. AI-powered news aggregation, geopolitical monitoring, and infrastructure tracking in a unified situational awareness interface

Your personal AI trading assistant. Any market. Any model. Pay with USDC, not API keys.

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构

ATLAS by General Intelligence Capital — Self-improving AI trading agents using Karpathy-style autoresearch

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

Zipline, a Pythonic Algorithmic Trading Library

FinRobot: An Open-Source AI Agent Platform for Financial Analysis using LLMs 🚀 🚀 🚀

TuShare is a utility for crawling historical data of China stocks

WFGY is an open-source AI Troubleshooting Atlas for RAG, agents, and real-world AI workflows. Includes the 16-problem map, Global Debug Card, and WFGY 4.0. ⭐ Star to help more builders find this repo.

modular quant framework.

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities

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

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

Scalable machine 🤖 learning for time series forecasting.

Zenbot is a command-line cryptocurrency trading bot using Node.js and MongoDB.

Python Backtesting library for trading strategies

FinRL®: Financial Reinforcement Learning. 🔥

Portfolio and risk analytics in Python

Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

Performance analysis of predictive (alpha) stock factors

Kungfu Trader

Quant/Algorithm trading resources with an emphasis on Machine Learning

FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading

An Algorithmic Trading Library for Crypto-Assets in Python

Common financial risk and performance metrics. Used by zipline and pyfolio.

Python module to get stock data from Yahoo! Finance

Strategies to Gekko trading bot with backtests results and some useful tools.

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning for Quantitative Trading.

TensorForce Bitcoin Trading Bot

This project provides a stock market environment using OpenGym with Deep Q-learning and Policy Gradient.

ML powered analytics engine for outlier detection and root cause analysis.

Environment for reinforcement-learning algorithmic trading models

Python live trade execution library with zipline interface.

An open source quant strategies research platform.

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

Magic8bot is a cryptocurrency trading bot using Node.js and MongoDB.

机器学习和量化分析学习进行中

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

Genetic Algorithm for solving optimization of trading strategies using Gekko

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

Trading Environment(OpenAI Gym) + PPO(TensorForce)

This is the code for "Bitcoin Prediction" by Siraj Raval on Youtube

This trading-gym is the first trading for agent to train with episode of short term trading itself.

Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.

Deep Reinforcement Learning for Financial Trading using Price Trailing @ ICASSP 2019

Open Source Algorithmic Trading Engine

Bot18 is a high-frequency cryptocurrency trading bot developed by Zenbot creator @carlos8f

Gekko bot resources.

Node.js native library performing technical analysis over an OHLC dataset with use of genetic algorithm

Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.

Building a population of models that trade crypto and mutate iteratively

Gekko strategies, tools etc.

An UI port for gekko trading bot using Quasar framework.

A dumping ground for my files I use with this awesome crypto currency trading platform https://github.com/askmike/gekko

TensorBoard as a Zipline dashboard

Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞