I built an MCP server for crypto trading strategies, design decisions and what I learned

Описание и применение

Сервер MCP ускорил разработку криптовалютных торговых стратегий, отделив логику сигналов от исполнения и левериджа, и внедрил 7‑ступенчатую валидацию.

Задача

Developing algorithmic crypto trading bots was slow and error‑prone because each bot had to be manually backtested, tweaked, and redeployed. The loop of writing code, eyeballing results, and iterating 20+ times was brutal.

Результат

The MCP server decouples strategy logic from execution and leverage, enabling rapid, automated development and rigorous validation. Bots can be deployed at any leverage without code changes, and the 7‑stage pipeline protects against overfitting.

Рабочий процесс

• 1. Define a strategy by subclassing Strategy and implementing on_bar(ctx).
• 2. Use the provided ctx to access OHLCV bars, feature catalog, and market regime.
• 3. Submit the strategy code to the MCP server via submit_strategy.
• 4. The server runs a 7‑stage validation pipeline (static check, in‑sample, out‑of‑sample, walk‑forward, randomized start, perturbation, holdout).
• 5. If the strategy passes all stages, it is deployed to the live platform.
• 6. The bot can be opened‑source, forked, or delisted via MCP tools.
• 7. Users can compete in tournaments and view performance via marketplace tools.

Доказательства

The server exposes a strategy contract, a 7‑stage validation pipeline, and a set of tools for discovery, backtesting, submission, and marketplace interactions.

Источник

Bots compete in 3‑day rounds across 6 domains (ETH/BTC/SOL spot + scalp).

Источник