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GioModel
Launch Portfolio
ASTSStep 6
MODEL 1 · STEP 6

Summarize
the model.

Turn five research steps and a focused repair audit into one decision: preserve the process, suppress the weak signal, and protect the next test from hindsight.

MARKET CONTEXT · OUTSIDE MODEL FREEZEASTS

These readings update independently. They are not model inputs, deployment evidence, or a trading recommendation.

Latest price
$62.31
· fallback
20D momentum
-13.4%
Close-to-close · 20 completed sessions
RSI 14
47.2
neutral · Wilder method
Relative volume
1.0×
Versus the prior 20 completed sessions

TECHNICALS THROUGH · TIMESTAMPED FALLBACK

EXECUTIVE CONCLUSION

Improve the fallback. Do not manufacture an edge.

The research chain is auditable, but none of the five candidates or eight repair variants improves pooled probability error versus the fold-local prior. The safer controller therefore emits the prior and withholds directional tilt.

POST-HOC LEAST-BAD CANDIDATERun 5 · Shallow boosting

Best inspected candidate Brier score, 0.2529. Pooled Brier improvement is still negative at −0.00170 and classification accuracy is 47.70%.

GUARDRAILED OUTPUTBenchmark only

The fold-local prior scores 50.95% accuracy and the lower Brier score. It is a neutral fallback—not proof of predictability.

MODEL IMPROVEMENT AUDIT

More complexity did not improve the forecast.

The audit added 24 trailing features and tested recency weighting, rolling history, signed calibration, regularized linear models, and shallow nonlinear learners under the same purged chronology.

WEAK MODEL ACCURACY47.70%

Run 5, using a fixed 0.50 decision threshold.

BENCHMARK ACCURACY50.95%

Fold-local smoothed prior; +3.24 percentage points versus Run 5.

BEST REPAIR BRIER GAIN−0.00059

Still worse than its prior; 95% block interval −0.00135 to +0.00013.

SAFE OUTPUT POLICYNO TILT

Use the training prior unless a future frozen challenger clears all nine gates.

WHAT “IMPROVED” MEANS HERE

The controller is safer and historically more accurate because it refuses the weak tilt. It does not turn the training prior into a predictive stock signal, and it does not improve the one-of-nine deployment score.

THE EVIDENCE CHAIN

A sound process can end with no.

Data and protocol checks answer whether the experiment is auditable. Deployment gates answer a different question: whether the observed model evidence is strong enough.

  1. 01
    Target contract

    Raw ASTS close, five-session horizon, ties in class 0.

    PASS
  2. 02
    Market data

    1,334 joined sessions, zero blocking failures, two documented warnings.

    PASS
  3. 03
    Feature contract

    23 trailing-only features on one common eligibility window.

    PASS
  4. 04
    Development comparison

    Five candidates, 12 purged folds, and 740 OOS dates.

    COMPLETE
  5. 05
    Deployment evidence

    Only 1 of 9 predeclared gates passes; the expanded repair audit also loses to the prior.

    FAIL
  6. 06
    Recommendation

    Directional no-go. The benchmark-only controller stays active.

    GUARDED
MODEL CARDgiomodel_model1_v2
NO-GO / GUARDED
Asset
ASTS
Target
Raw close higher in five sessions
Source period
07 Apr 2021 — 29 Jul 2026
Model rows
1,249
Feature families
23 frozen + 24 audited challenger features
Development runs
5 frozen + 8 repair candidates + fold-local prior
Validation
12 nested outer folds · 5-session purge
OOS evidence
740 dates · 09 Aug 2023 — 22 Jul 2026
Post-hoc development ranking
Run 5 · least-bad candidate
Primary result
Brier improvement −0.00170
Stress result
1 of 9 gates passed
Deployment recommendation
NO-GO · benchmark-only fallback
PRIMARY EVIDENCE

The intervals still include no improvement.

Run 5's observed values sit on the weak side of both reference boundaries.

ROC AUC0.4577

20-session 95% interval: 0.3800–0.5379

BRIER IMPROVEMENT−0.00170

20-session 95% interval: −0.00498 to +0.00131

FAMILY-WISE NULL96.59%

Required frozen-forecast tail rate: below 5%

FOLD CONSISTENCY6 / 12

Folds with positive Brier improvement; required at least 60%

PHASE B / DEVELOPMENT-ONLY DECISION ADDENDUM

Two of nine is the best individual count.

The same 740 dates informed every repair. Phase B can diagnose failure modes, but it cannot become a fresh confirmation set.

Phase B selected development output2 / 9

Prior-rank Ridge family output: G4 / G8. It clears the Run 1 comparison and fold-consistency gates, but its probabilities remain tightly compressed and qcut ECE is 6.028%. Median within-fold std. dev. 0.000569.

Unselected all-three diagnostic2 / 9

Empirical-bin family member: G6 / G8. It is the closest diagnostic to addressing spread, qcut ECE, and fold consistency together, but it was not selected and misses qcut ECE by 0.5738 percentage points. Median within-fold std. dev. 0.027692 / maximum 0.039467.

Phase B diagnostic challenger1 / 9

Non-flat state model: G7. It avoids near-constant forecasts and passes qcut ECE, but loses to the prior overall and reaches only half the folds. Median within-fold std. dev. 0.021151.

Mostly-fallback safeguarded replay1 / 9

Neutral-anchor Core Ridge: G4. Only three folds find an eligible active configuration. Nine folds correctly emit the predeclared no-signal fallback. Median within-fold std. dev. 0.000000 across all folds / 0.006596 active-only.

ACTIVE CONTROLLERFold-local prior

No repair clears all nine gates, so the controller remains benchmark-only with no directional tilt.

ONE MODEL MUST PASS ALL NINE

G4 and G8 from the selected calibration family cannot be added to G7 from the non-flat state model or G6 and G8 from the unselected empirical-bin member. Neutral-core's G4 pass also belongs only to its own mostly-fallback probability path.

FLAT BUT MORE CONSISTENTPrior-rank Ridge family output

It passes G4 and G8 across 9 of 12 positive folds, yet remains compressed inside each fold: median within-fold standard deviation is 0.000569. qcut ECE is 6.028%, above the 5% gate.

NON-FLAT BUT NOT STABLEState-calibrated Core Ridge

It spans 32.25% to 54.10% and passes qcut ECE at 4.361%, but wins only 6 of 12 folds and has negative pooled Brier improvement. Its median within-fold standard deviation is 0.021151.

FINAL SAFEGUARD

Neutral-anchor Core Ridge activates in 3 of 12 folds and falls back to the frozen prior in 9. It passes G4 only. The fallback gives a 0.000000 median within-fold standard deviation across all folds; the active-only median is 0.006596. It behaved exactly as designed: when inner evidence is ineligible, emit no signal.

PHASE B DOWNLOADS

Calibration family run log / Calibration family gates / Calibration family summary / Non-flat state run log / Non-flat state gates / Non-flat state summary / Neutral-core run log / Neutral-core gates / Neutral-core summary / Corrected legacy direction-aware run log / Corrected legacy direction-aware gates. The Step 6 workbook preserves Phase A and adds distinct Phase B sheets.

DEPLOYMENT REMEDIATIONnine_gate_recovery_contract_v1
1 / 9 · UNCHANGED
GATESTATUS / BARWHAT CAN CHANGE IT
G1 · BrierFail · Positive lower bound

Fresh paper-forward probability scores

G2 · AUCFail · AUC ≥ 0.52; lower > 0.50

Fresh discrimination evidence

G3 · Family-wiseFail · Tail rate < 5%

Predeclare one challenger before new data

G4 · Core comparisonFail · Paired lower bound > 0

Beat the core model robustly

G5 · Calibration slopeFail · 0.70 to 1.30

Calibrate only after discrimination exists

G6 · Calibration interceptPass · Absolute value ≤ 0.10

Preserve the frozen definition

G7 · Calibration errorFail · ECE < 5%

Validate a prior-only calibration map

G8 · Fold consistencyFail · At least 60% positive

Show stability across new folds

G9 · SensitivityFail · All conditions pass

Survive block, event, and regime checks

MODEL RECOMMENDATIONS

Run neutral now. Earn the right to tilt later.

The next step is a frozen controller plus one predeclared challenger on fresh outcomes—not another search over the same test history.

  1. P0
    Keep the directional model switched off.

    The benchmark-only controller improves observed classification accuracy over Run 5 by 3.24 percentage points without inventing an edge.

  2. P1
    Freeze the nine gates and the Model 1 benchmark.

    Keep the target, snapshots, features, folds, forecasts, and acceptance rules unchanged so the next study has an honest comparator.

  3. P2
    Treat the repair search as development evidence.

    Twenty-four added features and eight repair candidates were inspected. The 740 OOS dates cannot be reused as a fresh holdout.

  4. P3
    Predeclare one mechanism-led challenger.

    A new model must state its feature mechanism, training window, calibration rule, and all nine acceptance gates before new outcomes arrive.

  5. P4
    Accumulate a paper-forward period.

    Only newly arriving observations can change the deployment recommendation. Passing a subset of the gates is not enough.

BOUNDARY OF THE CLAIM

Model 1 evaluates five-session direction probabilities for ASTS. It is not investment advice and does not evaluate a trading strategy, positions, execution, costs, or portfolio risk.

STEP 6 OUTPUTmodel1_summary_v2

A decision-ready record of the target, data, repair audit, benchmark-only controller, unchanged no-go verdict, and the exact evidence needed to reconsider it.

MODEL 1 DECISION CLOSEDKeep the process. Suppress the weak signal.

Step 7 now uses a stronger prequential simulation audit and higher Monte Carlo precision without reopening the model decision.