Code for Machine Learning for Algorithmic Trading, 2nd edition.
-
Updated
Aug 18, 2024 - Jupyter Notebook
Code for Machine Learning for Algorithmic Trading, 2nd edition.
Autonomous quantitative trading research platform that transforms stock lists into fully backtested strategies using AI agents, real market data, and mathematical formulations, all without requiring any coding.
专业的金融市场数据 MCP 服务器 - 支持A股/美股/加密货币,原生 MCP 协议,AI Agent 友好
DeFi Trading Agent MCP Server - Transform your AI into an autonomous crypto trading agent
AI-powered meme coin trading bot for Solana and Base that automatically scans new tokens, detects honeypots, calculates win probability, executes trades. Built in Go with a multi-agent architecture, real-time risk controls, and a web dashboard for monitoring. Designed for autonomous meme coin trading, Solana AI agents, high-frequency Web3 trading.
A Simple Autonomous Perps Trading Agent for Hyperliquid L1
Frontend for Trading-Goose. A Multi-Agents LLM Financial Trading Framework for both individual stock analysis & portfolio management
MLCF - Machine Learning Toolkit for Cryptocurrency Forecasting
基于 Spring Al Alibaba 和 DDD 架构的企业级 Al 量化交易智能体,支持 LLM决策与多层风控。
A two armed bandit simulation and comparison with theoritical convergence
The personal finance app for everyone
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
TradingAgents: Multi-Agents LLM Financial Trading Framework
ValueCell is a community-driven, multi-agent platform for financial applications.
A high-performance algorithmic trading platform and event-driven backtester
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.
Bitcoin trading agent using Deep Q-Learning and synthetic market scenarios.
看海量化回测系统(看海量化交易系统)开源代码,khQuant框架,实现A股可视化回测,全部开源。
Add a description, image, and links to the trading-agent topic page so that developers can more easily learn about it.
To associate your repository with the trading-agent topic, visit your repo's landing page and select "manage topics."