Algorithmic Trading
Showing 35 of 71 projects
An OpenAI Gym environment for stock market trading simulation with Deep Q-learning and Policy Gradient implementations.
A modular deep reinforcement learning framework for portfolio management, enabling algorithmic stock trading with DQN and DDPG agents.
A Python live trading framework with a zipline-compatible API for executing algorithms via broker APIs.
A Spring Boot starter for creating Java cryptocurrency trading bots that handles exchange connections and trading operations.
A Python wrapper for the Shanghai Futures Exchange CTP API, enabling programmatic trading and market data access.
A .NET library for computing technical indicators, building trading strategies, and backtesting automated stock trading systems.
An open-source Java platform for building financial trading venues, exchanges, and algorithmic trading agents.
A composable, real-time market data and trade execution toolkit for orchestrating trading across multiple venues.
A reinforcement learning framework for portfolio management that learns optimal trading strategies through online training.
Code repository for the second edition of Mastering Python for Finance, implementing advanced financial statistical applications using Python.
A comprehensive Rust library for technical analysis, providing common indicators, methods, and an interface for custom indicators.
A collection of open-source machine learning and quantitative analysis models implemented in TensorFlow and PyTorch.
An open-source algorithmic trading execution engine for deploying and managing multi-language trading bots with real-time monitoring.
A Deep Q-learning reinforcement learning agent for automated stock trading using historical market data.
A reinforcement learning environment for training trading agents using real Korean equities orderbook and execution data.
Deep reinforcement learning framework for financial trading using price trailing, implemented with Keras-RL for Forex markets.
A blazingly fast, highly scalable graph-based stream processing framework for latency-critical applications like electronic trading and real-time AI.
A Node.js native library that uses genetic algorithms to perform technical analysis on OHLC data and generate profitable trading strategies.
A trading environment for reinforcement learning agents, supporting backtesting, live trading, and multiple RL algorithms.
A neuroevolution-based trading bot that evolves populations of neural networks to trade cryptocurrency using technical analysis.
A development environment for managing algorithmic trading operations across a distributed Elixir cluster.
A collection of custom indicators, utilities, and configuration files for the Gekko cryptocurrency trading platform.
A TensorBoard dashboard for visualizing and comparing Zipline algorithmic trading backtests in real-time.
A batteries-included cryptocurrency trading platform with backtesting, built in Elixir as an umbrella application.
A Python SDK for building, backtesting, and deploying AI-powered algorithmic trading bots for crypto markets across 100+ exchanges.
A collection of quantitative trading research experiments exploring uncommon strategies and techniques through Jupyter notebooks.
A collection of algorithmic trading strategies for the Gekko cryptocurrency trading bot, designed for educational purposes.
A toolset for parallel parameter optimization of QuantConnect Lean trading algorithms using various optimization methods.
A collection of academic papers and code implementations for quantitative trading strategies.
Automatically evolves profitable trading strategies using genetic algorithms across 484 factors with walk-forward validation for crypto, A-shares, and US stocks.
Event-driven algorithmic trading framework for Go with multi-exchange support and an interactive TUI.
An open prediction market arena where AI agents compete on 9 live game types using real asset price data.
A lightweight Python backtesting framework for Ethereum moving-average trading strategies using Pandas and NumPy.
A collection of trading strategies for the Gekko cryptocurrency trading bot.
A backtesting project comparing bt and Quantopian Zipline frameworks for cryptocurrency trading strategies.
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