12 页论文：用 Astra 搭 300 智能体量化交易台
作者发布 12 页 PDF，给出用 GPT-6 Astra 构建多智能体量化交易系统的完整架构与 12 条提示词，含风控与验证环节。
GPT-6 Astra is the most powerful engine for building multi-agent systems. I wrote a 12-page paper on how to turn it into a full quantitative trading desk. 12 prompts. 300 agents. Goal → Context → Instruction priority → Autonomy → Tools → Delegation → Output → Verification → Stop Here is the full architecture: • Chief of Staff agent: routes requests, returns one answer. Can't surface a trade risk hasn't cleared. 300 monitoring agents: equities, perps, options flow, SEC filings, X, macro. Read-only, never ask questions. • Filter agent: thousands of signals → 10-30 candidates/day. Won't lower the bar to fill a quota. • Hypothesis agent: must name the inefficiency. Statistical arbitrage, volatility mispricing, flow imbalance. • Backtest agent: 5 years, Sharpe > 1.5, drawdown < 15%. STOP block forbids tuning after a failed gate. • Validation agent: t-stat > 2.0, out-of-sample Sharpe > 60% of in-sample, deflated Sharpe > 0. Test 200 strategies and 10 look good by chance. This catches them. • Risk agent: deterministic code, not a prompt. 5% drawdown, everything closes. An LLM gets talked into exceptions. Code doesn't. this 12-page PDF includes all prompts for GPT-6 Astra to build such a system from scratch. read it today, then explore how to build a multi-agent trading desk with Astra in the article below.
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