Market brief

01

Recent horizon journey

Price plus the point-in-time horizon interpretation. Aggregate color is confirmation only; select a date to audit the target calls that were live then.

02

Horizon interpretation

Direction, shape, the still-live Active Book, trajectory, and historical trust are kept separate. Prior vintages provide lifecycle context rather than extra votes. 3D is timing, 5D is the primary decision horizon, and 10D is the broader backdrop.

03

Historical performance of today’s horizon reads

Full-archive, event-first validation for the current 3D / 5D / 10D directions. Event-surface performance is primary; terminal return is shown only as secondary market-path context.

04

Trust calibration for today’s signals

How the exact production Trust modifier attached to each horizon has behaved historically relative to that horizon’s broader confirmed directional cohort, including the small set of validated Active Book lifecycle modifiers.

05

Aggregate confirmation diagnostic

Broad cross-horizon status is retained only as a confirmation diagnostic. It no longer determines the forecast or the Trust label.

06

Targets that matter now

Boundary and moderate targets define the baseline-relative horizon surface. The confidence slider is an evidence lens only.

Forecast map

01

Core decision surface

Boundary and moderate forecasts define the main decision surface. The active confidence floor is shared with Market Brief.

Event probabilityWhat may happen

Probability that the target is reached at any point inside the horizon.

Reliability at this confidenceHow this confidence tier behaved

Shrunk historical accuracy for the same target, selected class, and confidence band.

Vs normalWhat the target adds to the horizon shape

Each event probability is compared with that exact target’s historical occurrence rate. Direction comes from matched upside/downside asymmetry, not a confidence gate.

02

Tail watch

Tail events solve a different problem. Instead of forcing a 50% Event threshold, compare each tail probability with its own historical occurrence rate and probability distribution.

03

All 18 forecast calls

The complete surface remains visible and auditable. Core calls emphasize confidence-conditioned reliability; tails emphasize event probability versus their normal base rate.

WindowTargetModel viewEvent prob.Selected conf.Reliability / tail contextEdge vs baseCurrent vs normalMagnitude roleHistory
04

What is driving the horizon read

All core targets contribute continuously through probability-versus-baseline. The evidence threshold only highlights more selective component calls; it does not turn targets on or off in the thesis.

Model evidence

Show the work behind Direction → Shape → Trust.

Event-surface validation, Trust calibration, probability skill, evidence-lens reliability, sample stability, and forecast-level diagnostics.

01

Evidence threshold → reliability frontier

Higher selected-class confidence improves the quality of highlighted component evidence at the cost of coverage. This slider does not determine horizon Direction or Trust.

02

Precision–recall explorer

Every horizon × target has its own discrimination curve. Tails often rank rare events well even when they almost never cross a 50% Event threshold.

03

Current horizon Trust calibration

Full-history event-first performance for today’s 3D / 5D / 10D direction and the exact Trust modifier currently applied.

WindowDirectionTrustDirectional event edgeTrust-cohort event edgeTrust deltaDirectional nTrust cohort n
04

Aggregate confirmation calibration

Secondary diagnostic only: observed behavior across the broad aggregate confirmation labels.

05

Integrity checks

What could make the current read fragile.

06

Forecast-level evidence

“Prob. skill” is Brier Skill Score versus a constant target base-rate forecast. Confidence tier is an evidence diagnostic only; baseline-relative target probabilities feed the horizon interpretation continuously.

WindowTargetEvent prob.Selected conf.Confidence tierReliability at confidenceBase rate / tail baseEdgeProb. skillRecent skillVs normal
07

Target context diagnostics

Target-level probability, base-rate distance, reliability, and model skill without converting classification probabilities into implied returns.

WindowTargetCallEvent prob.Normal event rateVs normalReliabilityProb. skill
Metric definitions and guardrails

Reliability edge = selected-class historical accuracy minus the unconditional accuracy of that same class. It prevents easy non-occurrence calls from looking strong merely because the event is rare.

Accuracy skill rescales reliability edge by the remaining distance from the base rate to 100%. A 20% score means the model closes 20% of the possible classification improvement beyond the base rate.

Brier skill compares squared probability error with a constant historical event-rate forecast. Positive is better than climatology; zero is no probabilistic improvement.

Trust calibration compares each current horizon with the full historical cohort carrying the same Direction and production Trust modifier, using event-surface performance first.

Aggregate confirmation is retained only as a secondary cross-horizon diagnostic. It does not override 3D / 5D / 10D Direction, Shape, or Trust.

History lab

Interrogate the forecast archive.

Filter actualized historical forecasts to understand reliability, calibration, miss paths and return distributions under specific conditions.

Source

Filtered forecasts

Selected-class reliability

Share of selected-class forecasts that resolved correctly.

Typical target miss

Median share of the target realized when it was not reached.

Typical move against thesis

Median furthest adverse move among those same target misses.

Rolling reliability

Rolling selected-class accuracy by forecast issue date.

Calibration

Predicted event probability versus realized event frequency.

Target-miss profile

Typical target realization and adverse excursion when a target was not reached.

Reliability by horizon and threshold

Which forecast families have historically been most dependable under the active filters.

Terminal return distribution

Secondary path context only. Signal correctness is evaluated against the within-horizon target event, not terminal return.

Time to hit

How quickly target events were reached when they occurred.

Forecast detail

Most recent realized rows under the active filters.

DateWindowSignalTrustTargetSelected classPredictionResultReliabilityReturnAgreement