For the complete documentation index, see llms.txt. This page is also available as Markdown.

AI Market Maker

We’re sharing our AI Market Maker GitHub Repository, providing transparency into the technology powering these capabilities and fostering a collaborative community of innovators. The repository includes key components such as exchange data fetching, price pattern analysis, sentiment tools, technical indicators, and arbitrage strategies, offering a robust foundation for trading innovation.

The customisable trading tools showcase the power of our Model Context Protocol (MCP) framework in empowering AI agents.

AI-Market-Maker is an open-source project to simulate a cryptocurrency market-making system using AI agents. It aims to provide liquidity and optimise bid-ask spreads for crypto assets like Bitcoin (BTC) and Ethereum (ETH) on exchanges such as Binance and Coinbase. This is an early-stage project for educational purposes, built with a modular agent-based architecture.

Goals

  • Simulate crypto market making with AI agents.

  • Fetch real-time crypto market data and place simulated orders.

  • Support future features like arbitrage, sentiment analysis, and risk management. Note: This project is an experimental simulation currently in development.

Agents

  • Market Scanner Agent: Scans for newly listed, to-be-delisted, and high-potential tokens with high-momentum price shifts.

  • Technical Analysis Agent: Analyses price patterns and candlestick data for actionable trading insights.

  • Sentiment Analysis Agent: Processes KOL tweets and news to gauge market sentiment trends.

  • Statistical Arbitrage Agent: Calculates correlations and hedge ratios to identify token pairs for arbitrage and hedging.

  • Quantitative Analysis Agent: Generates trading signals by evaluating momentum and market trends.

  • Valuation Agent: Assesses token value by benchmarking against similar category assets.

  • Liquidity Agent: Evaluates circulating supply and on-chain liquidity for efficient trades.

  • Risk Management Agent: Optimises TP/SL and position limits using reinforcement learning on volatility.

  • Portfolio Management Agent: Manages portfolio and balance for optimised order placement across DEX and CEX venues.

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