Evolutionary Multi-Family Trading: 5 Families Competing for 80% Win Rate

说明与用途

自动化代理使用x402协议和Base上的USDC进行支付，无需账户，BTC赢率达80%，SOL和ETH表现竞争激烈。

问题

Automated systems need to transact programmatically, but traditional payment rails require manual intervention—accounts, API keys, subscriptions.

结果

Achieved 80% win rate on BTC and competitive performance on SOL and ETH by enabling fully automated, account-less payment and scalable evolutionary trading.

工作流

• 1. Agents discover available APIs via OpenAPI 3.1 spec at /openapi.json and llms.txt.
• 2. Agents send requests to 26 paid API endpoints using HTTP 402.
• 3. Payment is processed in USDC on Base, covering sub-cent settlement.
• 4. Trading system runs 256 parallel universes with 15 parameters each, fed by 28 real-time data sources.
• 5. Five evolutionary families compete, using a reality confrontation loop (predict → wait → confront → learn).
• 6. Agents adjust strategies based on win rates (BTC 80%, SOL 72%+, ETH training).

证据

Automated systems need to transact programmatically, but traditional payment rails require manual intervention — accounts, API keys, subscriptions.

来源

We built a system where automated agents pay per request using the x402 protocol — HTTP 402 + USDC on Base. No accounts, no keys, just wallets and code.

来源