対象ユーザー
- 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 ガイド
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.
以下のリクエストを出発点にして、詳細を用途に合わせて置き換えてください。
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.
期待される結果: 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.
期待される結果: A relative ranking with confidence bounds, missing-data penalties, deterministic exposure caps, and a reproducible paper-test plan.
Agent Studio で OpenAI、Claude、Z.AI を選び、Tetrees ポイントまたは BYOK で実行します。
ホスト実行では署名済みのツールだけを使用します。ローカル MCP では、別途設定して承認したツールを追加できます。
Agent AVCP
テスト済み TAIP 成果物は本レポートと署名に結合されています。スコアは試験証拠であり将来の全出力を保証しません。
総合スコア
9.5
10点満点
必須ゲート
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