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

Описание и применение

Система автоматизированных агентов использует протокол x402 и USDC на Base для оплаты запросов без аккаунтов, достигая 80% коэффициента выигрыша в BTC и конкурентных результатов в SOL и ETH.

Задача

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

Результат

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

Рабочий процесс

• 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).

Доказательства

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

Источник

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.

Источник