Skills Data Science Compare Itô Baskets Against User Knowledge

Compare Itô Baskets Against User Knowledge

v20260704
ito-basket-compare
A read-only tool designed to compare prediction-market baskets or themes against the user's existing knowledge base, portfolio notes, research memos, or financial context. It performs gap analysis, flagging potential conflicts, stale assumptions, and areas of missing research. This skill provides structured insights into fit and exposure without offering any investment or trading advice.
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Overview

Itô Basket Compare

Use this skill to compare a basket, theme, or market set against a user's knowledge base, portfolio notes, research memo, CRM context, or stated thesis.

This skill is read-only. It does not recommend trades. It helps a user inspect fit, exposure, assumptions, and missing context before they decide what to do.

Guardrails

  • Do not provide investment advice or tell the user to buy, sell, hold, hedge, lever, or size a trade.
  • Do not execute, prepare, or submit orders.
  • Do not use private documents unless the user explicitly points to them.
  • Use ITO_API_KEY only for read-only Itô basket/market data after explicit user request.
  • If comparing against financials, preserve privacy and summarize only the fields needed for the comparison.

Comparison Modes

Basket vs Knowledge Base

  1. Identify the basket theme and underliers.
  2. Retrieve the user's relevant notes, docs, or memory snippets.
  3. Map each underlier to claims, sources, uncertainties, and stale assumptions.
  4. Return aligned signals, conflicting signals, and missing research.

Basket vs Portfolio Notes

  1. Parse the user's watchlist, holdings summary, or exposure notes.
  2. Compare themes, geographies, time horizons, and event outcomes.
  3. Flag concentration, correlation, and duplicated narrative exposure.
  4. Avoid recommendations; phrase output as inspection and questions.

Basket vs Financial Context

  1. Accept only user-provided or explicitly selected financial context.
  2. Identify liquidity, drawdown, time-horizon, and constraint mismatches.
  3. Ask for missing constraints instead of guessing.

Output Contract

Use this structure:

  1. Basket summary
  2. Comparison target
  3. Matches
  4. Conflicts or stale assumptions
  5. Missing context
  6. User-action checklist

End with:

This comparison is informational and not investment or trading advice.
Info
Category Data Science
Name ito-basket-compare
Version v20260704
Size 2.15KB
Updated At 2026-07-09
Language