Multi-Agent Architecture for Halal Crypto Trading Compliance

Описание и применение

Команда HalalCrypto разработала многоагентную архитектуру для торговли криптовалютами, соответствующую шариату. Вместо одной модели, выполняющей все задачи, используются четыре специализированных агента: Скринер (проверка на халяль), Сигнал (поиск входов), Риск (вето на позиции) и Исполнение (торговля). Это обеспечивает процедурное, а не статистическое соблюдение правил и создает аудиторский след.

Задача

Single-model AI trading systems risk 'prompt collisions' where the same model handles price analysis, halal compliance checks, and order execution, leading to probabilistic rather than procedural compliance and potential inclusion of haram assets.

Результат

The multi-agent split ensures that the halal gate lives upstream of the trade gate on a different clock. It provides an auditable paper trail for every decision, allowing users to trace why specific trades were made or rejected, and prevents single-point-of-failure bugs like cache poisoning or implicit leverage.

Рабочий процесс

• Screener Agent runs a 4-gate halal filter (riba, gharar, maysir, haram-sector) every 24 hours to generate a permitted-coin list.
• Signal Agent generates entry hypotheses only on the permitted list, analyzing on-chain flow, momentum, and volatility.
• Risk Agent acts as a veto, checking position-size caps, exposure limits, and drawdown state; it kills candidates that breach rules.
• Execution Agent places spot-only orders on Binance via read+spot-only API keys, refusing any order that did not pass the previous three stages.
• Each agent writes inputs and outputs to a local audit log for traceability.

Доказательства

The right architecture is multi-agent: a Screener that holds the halal gate, a Signal agent that generates entry hypotheses, a Risk agent that vetoes oversized positions, and an Execution agent that places only what survives.

Источник

Fix: per-agent caches with hard TTLs, and a cold-start verification on every run.

Источник