Metaphor Trade now

See how your thesis becomes a trade.

Enter a thesis. Review the longs, shorts, hedge, estimated costs, and failure conditions before approving the basket.

All performance, activity, and demand shown below are product scenarios—not live results.

Build the trade from one sentence.

  1. Ask
    1 of 8 · AI data stack
    “Give me exposure to Databricks and ClickHouse adoption - without broad software beta.”
    $25,00012 monthsMarket neutral
  2. Compile

    Isolate data infrastructure; remove generic software beta.

    ORCL +12.9% DDOG +11.4% CFLT +9.8% MDB +8.3% SNOW +7.6% IGV −34% QQQ −16%
  3. Quote7 legs · $25,000 gross · 0% net
    Scenario quote
    Long sleeve+$12,500 Short sleeve−$8,500 Market hedge−$4,000 Est. entry cost$45–$70 Max slippage35 bps Gross leverage1.0×
    Liquidity / sequenceHigh · Hedges → paired legs

    Repriced at approval Funding, borrow availability, venue eligibility, and liquidation buffers refresh before anything is routed.

  4. Final trade
    MET–AI DATA / SCENARIOReady to review
    ExposurePrivate AI Data Infrastructure

    A relative-value basket built to capture enterprise data workload growth while removing broad software and market beta.

    Gross100%Net0%Legs7
    Basket compositionLong 50% · short 34% · hedge 16%
    Notional
    $25,000
    Horizon
    12 months
    Estimated cost
    18–28 bps
    Max leg
    34%
    Rebalance
    Quarterly
    Sequence
    Hedges → paired legs
    Primary basis risk

    Proxy basis: private platform adoption may not accrue to the public long sleeve.

    Review full tradeWeights, rationale, costs, and invalidation rule

Review the complete exposure.

A dated thesis, a committed book, and a forward record that cannot be rewritten after the fact.

AIDATA / VERSION 03 Private AI Data Infrastructure
Example scenariosample path
Scenario return+8.4%
Thesis fidelityA−
Thesis+6.8 Market beta+2.4 Costs−0.8 Max drawdown−2.1%
Append-only history3 recorded events
  1. V01 committedThesis, weights, and invalidation rule locked
  2. Evidence addedOracle cloud growth revised upward
  3. V03 rebalancedSNOW reduced 2.4%; hedge restored to 0% net

Inspect the index and every component.

The index is the output. Its components, weights, direction, and contribution remain visible underneath.

AIDATA / SCENARIO INDEXPrivate AI Data Infrastructure
Scenario index108.42example
Forward index · base 100
AIDATA Software beta
ORCLLong+12.9%
Weight12.9Contribution+2.1
DDOGLong+11.4%
Weight11.4Contribution+1.8
CFLTLong+9.8%
Weight9.8Contribution+1.3
MDBLong+8.3%
Weight8.3Contribution+1.0
SNOWLong+7.6%
Weight7.6Contribution+0.8
IGVShort−34%
Weight−34Contribution+1.1
QQQHedge−16%
Weight−16Contribution−0.6
Scenario indexDaily rebalance checkFunding + borrow includedMethodology v03

See which thesis markets traders return to.

These example rankings show how repeated interest could surface candidates for a standalone market.

Example demand leaderboard
Scenario activity
  1. 01AIDATAAI Data Infrastructure Scenario Highmodeled interest Recurringrequest pattern Market review
  2. 02AICAPEXAI Power & Cooling Scenario Highmodeled interest Stablebasket pattern Methodology
  3. 03RENTRental Affordability Scenario Mediummodeled interest Recurringrequest pattern Funded demand
  4. 04RESHORU.S. Reshoring Scenario Mediummodeled interest Stablebasket pattern Methodology
  5. 05SPACEPrivate Space Economy Scenario Earlymodeled interest Emergingrequest pattern Intent cluster
  6. 06GLP1GLP-1 Consumer Shift Scenario Mediummodeled interest Recurringrequest pattern Funded demand

How markets graduate Repeated requests and funded interest establish the case. Stable methodology, oracle quality, and maker support determine whether the market can launch.

Trade on

Describe the thesis wherever it occurs. Metaphor returns the same basket, risk review, and approval step.

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