Code for Machine Learning for Algorithmic Trading, 2nd edition.
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Updated
Aug 18, 2024 - Jupyter Notebook
Code for Machine Learning for Algorithmic Trading, 2nd edition.
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
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.
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.
A fully autonomous, self-reliant AI agent performing Base trading on the Limitless
DeFi Trading Agent MCP Server - Transform your AI into an autonomous crypto trading agent
A Multi-Agents LLM Financial Trading Framework for both individual stock analysis & portfolio management
A Simple Autonomous Perps Trading Agent for Hyperliquid L1
AutoQuantAI is an open source intelligent financial analysis platform integrating RAG, Algorithm Strategies,LLM,and Real-time Market Data (A-Share). It serves as your personal AI Quant Agent(AI量化交易智能体) for automated market monitoring (AI盯盘) and analysis.
IDE configurations and trading strategies for MCP trading agents
MLCF - Machine Learning Toolkit for Cryptocurrency Forecasting
AI-powered Web3 trading agent for Solana and Bitcoin. Supports Solana memecoin AI trading, reinforcement learning, and fully automated on-chain execution. Keywords: Solana AI agent, Web3 AI agent, AI trading bot, memecoin trader, automatic trading agent.
Microservices-based AI trading architecture integrating multi-source data scraping, Transformer-based price prediction, and an autonomous Deep Reinforcement Learning trader, deployed under centralized supervision.
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。
Reference trading agent using System R — momentum strategy with pre-trade risk gates
Local A-share research, LLM decisioning, deterministic risk control, and daily simulation
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Storm or Signal: A Trading Agent Showdown Using Reinforcement Learning to Test Whether Weather Holds an Edge
A two armed bandit simulation and comparison with theoritical convergence
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