Time Seventeen methodology

Draft v0.1 · design contract

Methodology

From event markets to auditable risk benchmarks.

T17 maps heterogeneous prediction-market observations into versioned index observations. Each published value retains its source data, rules, timestamps, coverage and quality state.

The current documentation is a design contract, not a claim that every component is already operating in production.

01 / Observe

Record the venue-native market before transforming it.

Input
Bid, ask, midpoint, last trade, mark, spread, depth and source time.
Rule
Keep source, calculation and publication timestamps separate.
Output
A source-attributed market observation with an explicit status.

Source observation  →  calculation run  →  index observation

1. Observe
Record the venue-native market before transforming it. Input: Bid, ask, midpoint, last trade, mark, spread, depth and source time. Rule: Keep source, calculation and publication timestamps separate. Output: A source-attributed market observation with an explicit status.
2. Normalize
Map different contracts into one event representation. Input: Contract, outcome and resolution definitions from each venue. Rule: Flag derived values and preserve the original contract meaning. Output: Comparable observations without silently forcing outcomes to sum to one.
3. Qualify
Decide whether the market can support the calculation. Input: Resolution clarity, source reliability, liquidity and data quality. Rule: Rate market fitness from MR1 to MR5, or NR when evidence is insufficient. Output: An eligible, restricted or excluded observation with a recorded reason.
4. Construct
Calculate against rules fixed by an immutable version. Input: Eligible observations, weights, normalization rules and effective interval. Rule: A rebalance creates a new IndexVersion; it does not rewrite history. Output: A point-in-time index calculation tied to one version.
5. Publish
Attach coverage, quality and lineage to the number. Input: Calculation result, source observations, coverage and timestamps. Rule: Publish the documented quality state beside the level. Output: A versioned IndexObservation that can be interpreted and audited.
6. Reproduce
Retain the context required to recreate a past observation. Input: Index version, calculation run and complete source lineage. Rule: Corrections append a superseding record and preserve the original. Output: A reproducible historical observation with an intact audit trail.

Market quality / event severity

Two scores. Two different questions.

Market Rating asks whether a contract can support reliable analysis. Severity describes the real-world consequences of the event. Neither score substitutes for the other.

Illustrative contracts — not production observations
Event severity

Market fitness and data confidence →

View the same examples as a table
Illustrative Market Rating and Event Severity examples
ContractVenueMRSeverityResolutionData qualityEligibility
Strait of Hormuz closureIllustrative venue AMR2SEV-4Named maritime authorityCurrent / completeEligible
Regional escalationIllustrative venue BMR3SEV-3Defined multi-source verificationCurrent / limited depthRestricted
Shipping disruptionIllustrative venue AMR2SEV-2Port and shipping recordsCurrent / completeEligible
Scheduled macroeconomic releaseIllustrative venue CMR1SEV-1Official statistical releaseCurrent / completeEligible
Resolved sporting eventIllustrative venue DMR1SEV-0Official competition resultResolved / finalExcluded
Unverified disruption reportIllustrative venue ENRUnknownConflicting public reportsInsufficient evidenceExcluded

Construction and coverage

Fixed by version.

An IndexVersion fixes constituents, weights, normalization rules and its effective interval. A rebalance creates a new version rather than rewriting earlier membership.

Illustrative version

T17-WAR-HORMUZ / v1.2

Available coverage

84%

Illustrative constituent weights, normalized probabilities and observation states
ConstituentNormalized probabilityWeightObservation state
HORMUZ-CLOSE0.64028%Valid
TANKER-DELAY0.58024%Valid
WAR-PREMIUM0.51520%Stale
OIL-TRANSIT0.43012%Valid
PORT-ACCESS—16%Missing

Index observation at time t = F(index version, eligible observations, normalization rules, constituent weights, quality state)

The dependency model shows what the calculation needs without claiming an unapproved production weighting formula.

Coverage = available eligible weight / total eligible weight

Input lifecycle

Failure remains visible.

Missing, stale or corrected inputs are represented as states and reasons. They are not hidden behind an uninterrupted series.

Current state

Active

A current observation passes the source, quality and eligibility checks required by its index version.

It may enter the governed calculation.

Missing observation
Omit or record null; recalculate coverage and never replace the gap with zero.
Stale price
Retain only when the governing rule allows it, with source time unchanged.
Outlier
Exclude with a recorded reason when the documented validation rule is triggered.
Venue outage
Treat the unavailable source as missing; do not manufacture an observation.
Trading halt
Follow the active IndexVersion and make any restriction visible.
Correction
Append a superseding revision; never overwrite the earlier record.

Versioning and corrections

Original context stays attached.

Methodology versions, index versions and corrected observations remain separate records. Historical observations retain the rules that produced them.

Index version

v1.0 / Initial publication

What changed
The initial constituent set, weights, normalization rules and effective interval are fixed.
Why
Begins the versioned index history.
Affected
Observations calculated during the v1.0 effective interval.

T17 research and application layer

From signal to exposure.

The index records an event signal. A risk application asks how that signal can travel through markets, operations and balance sheets over time.

  1. T0

    Event signal

    An escalation, closure threat or shipping restriction appears in event markets.

  2. T1

    Market repricing

    Oil, freight, insurance and affected securities begin to adjust.

  3. T2

    Operating cost

    Higher feedstock, transport and insurance costs reach importers and manufacturers.

  4. T3

    Financial loss

    Margins, working capital, delivery schedules or asset values reflect the accumulated cost.

A

Strait of Hormuz

The time between an early signal and a realized operating loss is part of the exposure analysis.

Risk manager's lens

Signal strength alone does not define a hedge or a financial loss.

  • Event probability
  • Event severity
  • Direction of exposure
  • Transmission lag
  • Exposure sensitivity
  • Basis risk
  • Liquidity
  • Settlement quality
  • Available capacity

Prediction-market positions may function as event-linked or parametric risk-transfer instruments in an appropriate structure. They are not presented here as legally equivalent to insurance, reinsurance, an insurance-linked security or a catastrophe bond.

Methodology resources

Inspect the specification.

The public methodology explains the decision chain. The technical documentation records the data model, field definitions, lifecycle rules and version history.