📡 MCP Radar

Cortex-Arbitrage-Lab/cortex-ai-trading-bot

Next-gen AI crypto trading platform & execution framework powered by Claude AI and Google AI models. Real-time sub-50ms HFT order routing, TradingView signals, Bitget & AvaTrade connectors, and native

⭐ 25 stars
⑂ 10 forks
Python
momentum ▲ 70.0
created 2026-09-14
on radar since 2026-09-15
star trend 3 → 25 since 2026-09-15
ai-modelaicryptoavatradebitget-aiclaude-plugincryptocurrencymcpmcp-clientmodel-context-protocolpolymarket-bot-freesolana-bot-freetrading-bot-bsc-solanatradingbot2026tradingview-automation
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About cortex-ai-trading-bot

⚡ Cortex AI — Cross-Exchange Arbitrage and Market Automation Framework Open-source execution engine for detecting and acting on price spreads across CEX and prediction markets

Cortex AI is an open-source, non-custodial framework for building and running automated arbitrage strategies. It connects to multiple exchanges through read and write API keys, monitors order books in real time, and executes trades locally on your machine with no third-party custody and no cloud dependency.

If you have been searching for a free crypto arbitrage bot on GitHub that you can actually inspect, modify, and run on your own hardware, this project is built for exactly that. It is not a closed-source ai trading app that hides its logic behind a subscription. It is a transparent, developer-friendly alternative for traders who want to understand what their bot is doing.

The project is designed for traders and developers who want full control over their execution logic. You configure the venues, define the spread thresholds, and decide when to act. Cortex AI handles the monitoring, risk checks, and order routing. You can connect it to Binance, Bybit, OKX, Gate, Bitget, or any exchange with a public API, and you can run it as a pure scanner or as a live execution engine.

For those looking for an ai trading bot that combines automation with optional intelligence, Cortex AI supports pluggable AI models including Claude AI, Gemini, and OpenAI-compatible endpoints. The AI layer is entirely optional. If you prefer rule-based arbitrage, you can run the framework without any AI provider at all.

From the project README.

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