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 optimize 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: Optimizes TP/SL and position limits using reinforcement learning on volatility.
Portfolio Management Agent: Manages portfolio and balance for optimized order placement across DEX and CEX venues.

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