권장 사용자
- 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 에이전트 가이드
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.
아래 요청을 시작점으로 삼고 세부 내용을 상황에 맞게 바꾸세요.
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.
예상 결과: 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.
예상 결과: A relative ranking with confidence bounds, missing-data penalties, deterministic exposure caps, and a reproducible paper-test plan.
Agent Studio에서 OpenAI, Claude 또는 Z.AI를 선택하고 Tetrees 포인트나 BYOK로 실행하세요.
호스팅 실행은 서명된 도구만 사용합니다. 로컬 MCP에서는 별도로 설정하고 승인한 도구를 추가할 수 있습니다.
Agent AVCP
테스트한 TAIP 아티팩트는 이 리포트와 플랫폼 서명에 결합됩니다. 점수는 테스트 근거이며 모든 향후 모델 응답을 보장하지 않습니다.
종합 점수
9.5
10점 만점
필수 게이트
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