Stock Trading
Showing 13 of 13 projects
An open-source framework for applying deep reinforcement learning to quantitative finance, featuring a train-test-trade pipeline for stock and crypto trading.
An open-source autonomous AI trading assistant that selects models, fetches data, and executes trades across multiple markets with USDC micropayments.
A Python bot that analyzes Trump tweets for company mentions, performs sentiment analysis, and automatically executes stock trades.
A curated collection of high-quality resources for quantitative and algorithmic trading with a focus on machine learning applications.
An AI-native modular infrastructure for quantitative trading, featuring a weight-centric architecture for building, testing, and deploying algorithmic strategies.
A third-party Python API client for connecting to Interactive Brokers' online trading system.
A repository implementing Deep Reinforcement Learning and Supervised Learning methods with a simulated financial market environment for quantitative trading.
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 curated list of resources, tools, websites, and books for stock trading and investing research.
A Deep Q-learning reinforcement learning agent for automated stock trading using historical market data.
Automatically evolves profitable trading strategies using genetic algorithms across 484 factors with walk-forward validation for crypto, A-shares, and US stocks.
An Elixir wrapper for the Stockfighter API, providing a simple interface for stock trading simulations.
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