适用对象
- Independent market researchers
- Quant-curious analysts
- Portfolio teams preparing research memos
- Builders of paper-trading and backtest workflows
Tetrees AI Pack · TAIP/1 · v1.0.0
A research-only investment council that separates multi-lens signals, confidence, portfolio constraints, and hard risk limits before producing an auditable thesis.
Tetrees Agent 指南
Investment research is often a single persuasive narrative with hidden assumptions, no as-of boundary, no competing analytical lenses, and no hard separation between a conviction signal and portfolio risk constraints.
可从以下请求开始,再替换为你的具体内容。
An analyst has filings, valuation ratios, price history, and a six-month horizon but wants to avoid a one-story recommendation.
Assess NVDA as of 2026-06-30 for a six-month research horizon. Separate quality, valuation, growth, catalyst, and momentum signals, then show risk limits and thesis invalidators.
预期结果: A dated evidence ledger, independent lens scores, explicit disagreement, scenario probabilities, risk constraints, and a research-only conclusion rather than an execution instruction.
A portfolio researcher wants to compare a small universe without letting the strongest narrative consume the whole risk budget.
Rank these six companies on a market-neutral research basis. Show signal confidence, missing evidence, pairwise risks, and what would falsify the top and bottom selections.
预期结果: A relative ranking with confidence bounds, missing-data penalties, deterministic exposure caps, and a reproducible paper-test plan.
在 Agent Studio 中选择 OpenAI、Claude 或 Z.AI,然后使用 Tetrees 积分或 BYOK 运行。
托管运行仅使用此签名工具集。本地 MCP 可添加由你单独配置和批准的工具。
Agent AVCP
测试的 TAIP 制品与本报告及平台签名绑定。分数反映测试证据,不保证未来每次模型输出。
总分
9.5
满分 10 分
必需门槛
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