@ayesha2002456

AI-Trading-Agent is a multi-agent cryptocurrency trading system that separates market judgment, execution planning, and risk acceptance into coordinated specialists orchestrated as a pipeline instead of one opaque model. That structure clarifies what each stage contributed, lets you tune prompts and policies independently, and supports rehearsal in paper mode before meaningful capital is at risk. The Python FastAPI backend runs analyst, trader, and risk manager stages end to end, pulls live Kraken context through the official CLI, and exposes REST endpoints for dashboards and integrations. Optional Redis stores pipeline history when configured. Multiple LLM backends are supported so teams can trade off latency, cost, and governance requirements. A SvelteKit frontend surfaces balances, market context, and recent runs for operators who prefer a UI over log diving. An optional ERC-8004 on-chain agent adds Sepolia identity binding, validates trade intents through an on-chain risk router before orders execute, and emits EIP-712 signed checkpoints for auditability. Strategy decisions still originate from the same Python service, preserving one reasoning source while benefiting from contract-level guardrails from analysis through settlement. The TypeScript agent loop can call the Python pipeline on every tick so discretionary rules, explanations, and checkpoints stay synchronized between operator tooling and on-chain execution.

⏱️ Design, build, and deploy trustless AI trading agents. 📅 March 30 – April 12, 2026 🌐 Build AI trading agents that execute strategies using ERC-8004 or Kraken CLI. 🤝 Build solo or in teams to create autonomous trading, risk, yield, or protection agents. 💰 $55,000 prize pool, allocated and shared via Surge and Kraken. Your team should have registered project at early.surge.xyz in order to be eligible for the prize. Get access in your team profile or our discord 🔑 Access to early.surge.xyz If prompted for login credentials, use: • Username: admin • Password: JBRv2xWG7AzwVrLz88