alphatrace

AlphaTrace is an autonomous AI trading agent designed to bring transparency and trust to the DeFi ecosystem.

Most trading bots today operate as black boxes users can see profits or losses, but have no visibility into why decisions were made. AlphaTrace eliminates this problem by making every trading decision fully verifiable on-chain.

The system continuously analyzes real-time market data using AI (Gemini Flash), generating BUY, SELL, or HOLD signals along with detailed reasoning, confidence scores, and technical indicators. Each decision is then stored immutably on 0G Storage and its content hash is anchored on the 0G Chain via a smart contract.

This creates a permanent, tamper-proof audit trail of AI behavior something that has never been available in traditional trading bots.

Users can interact with AlphaTrace through a live dashboard, where they can monitor decisions, track performance, manually trigger the agent, and verify every action via blockchain explorer and storage validation. Real-time updates are powered by WebSockets, ensuring a seamless and responsive experience.

AlphaTrace moves DeFi from trust me to verify it yourself setting a new standard for transparent, accountable AI systems.

Key Features:

• AI-powered market analysis (Gemini Flash)

• On-chain verifiable decisions (0G Chain)

• Immutable storage (0G Storage)

• Real-time dashboard with WebSockets

• Manual + autonomous agent control

• Cross-verification via storage + blockchain

I recently wrapped up a project building a full-stack AI trading agent that features on-chain verification. The core architecture is built around an AI decision engine and a continuous backend agent loop, with smart contract integration handled on 0G. I also incorporated decentralized storage and a real-time dashboard powered by WebSockets to monitor live data. The entire setup is deployed on Vercel and Render, and everything is fully functional in the live demo.

AlphaTrace is currently fully bootstrapped. We developed the platform independently during the hackathon without any outside investment, but we’re definitely open to exploring funding or strategic partnerships as we look to scale the product further.