Execution Ledger Audit

Forecasting Engine Specific-Run Math Audit

This report documents the exact step-by-step mathematical calculations and feature vector scores executed during run 2026-10-31 02:17:07. All values below represent actual substituted numerical parameters generated for this specific forecast execution.

Section 1: Execution Audit & Trigger Headline Context

Primary Event Trigger

Daily Forecast Batch Execution (2026-10-31 02:17:07)

Section 2: Ingested Factor Score Vector (Exact Run Values)

Supply Disruption (S) 0.10
Price Pressure Shock (ΔP) +0.02
Geopolitical Risk (G) 0.15
Demand Sentiment (D) 0.00
OPEC Action (O) 0.00
Decay Half-Life (t½) 5.0 Days

Section 3: Step-by-Step Exponential Memory Decay Math for This Run

General Exponential Memory Decay Model Equation:

$$M_t = M_{t-1} \cdot e^{-\frac{\ln(2)}{t_{1/2}}} + S_t$$

Plugging in exact run decay parameters: decay constant \(\lambda = \frac{\ln(2)}{5.0} = 0.13863\text{ day}^{-1}\) and daily retention factor \(\gamma = e^{-0.13863} \approx 0.87055\).

Numerical Step-by-Step Shock Retention Schedule:

  • • Day 0 (Initial Shock Target): $$M_0 = 0.1000$$
  • • Day 1 Decayed Shock: $$M_1 = 0.1000 \times 0.87055 = 0.0871$$
  • • Day 2 Decayed Shock: $$M_2 = 0.1000 \times (0.87055)^2 = 0.0758$$
  • • Day 3 Decayed Shock: $$M_3 = 0.1000 \times (0.87055)^3 = 0.0660$$
  • • Day 4 Decayed Shock: $$M_4 = 0.1000 \times (0.87055)^4 = 0.0574$$
  • • Day 5 (Target Forecast Horizon): $$M_5 = 0.1000 \times 0.50000 = 0.0500$$

Section 4: Regional Metro Calibration Equations (Substituted Run Values)

National Wholesale $3.050/gal (-\$0.009/gal, -0.28%)

$$\text{P}_{\text{National Wholesale}} = \$3.114 + (-\$0.009) = \$3.050\text{/gal}$$

Tulsa, OK Retail $3.803/gal (+\$0.000/gal, 0.00%)

$$\text{P}_{\text{Tulsa, OK Retail}} = \$3.803 + (+\$0.000) = \$3.803\text{/gal}$$

Newark, DE Retail $3.910/gal (-\$0.013/gal, -0.32%)

$$\text{P}_{\text{Newark, DE Retail}} = \$3.992 + (-\$0.013) = \$3.910\text{/gal}$$

Cincinnati, OH/KY $4.275/gal (+\$0.000/gal, 0.00%)

$$\text{P}_{\text{Cincinnati, OH/KY}} = \$4.275 + (+\$0.000) = \$4.275\text{/gal}$$

Greenville, NC Retail $3.642/gal (+\$0.023/gal, +0.63%)

$$\text{P}_{\text{Greenville, NC Retail}} = \$3.705 + (+\$0.023) = \$3.642\text{/gal}$$

Charlotte, NC Retail $3.362/gal (-\$0.016/gal, -0.46%)

$$\text{P}_{\text{Charlotte, NC Retail}} = \$3.447 + (-\$0.016) = \$3.362\text{/gal}$$

Port St. Lucie, FL Retail $3.880/gal (-\$0.013/gal, -0.34%)

$$\text{P}_{\text{Port St. Lucie, FL Retail}} = \$3.969 + (-\$0.013) = \$3.880\text{/gal}$$

Chicago, IL/IN Retail $4.949/gal (+\$0.000/gal, 0.00%)

$$\text{P}_{\text{Chicago, IL/IN Retail}} = \$4.949 + (+\$0.000) = \$4.949\text{/gal}$$

Houston, TX Retail $3.671/gal (+\$0.000/gal, 0.00%)

$$\text{P}_{\text{Houston, TX Retail}} = \$3.671 + (+\$0.000) = \$3.671\text{/gal}$$

Los Angeles, CA Retail $6.021/gal (+\$0.000/gal, 0.00%)

$$\text{P}_{\text{Los Angeles, CA Retail}} = \$6.021 + (+\$0.000) = \$6.021\text{/gal}$$

Denver, CO Retail $4.292/gal (+\$0.000/gal, 0.00%)

$$\text{P}_{\text{Denver, CO Retail}} = \$4.292 + (+\$0.000) = \$4.292\text{/gal}$$

New York, NY Retail $4.405/gal (+\$0.000/gal, 0.00%)

$$\text{P}_{\text{New York, NY Retail}} = \$4.405 + (+\$0.000) = \$4.405\text{/gal}$$

Oakland, CA Retail $5.965/gal (+\$0.000/gal, 0.00%)

$$\text{P}_{\text{Oakland, CA Retail}} = \$5.965 + (+\$0.000) = \$5.965\text{/gal}$$

Includes CA statutory CARB excise, Cap-and-Trade & LCFS fee overhead of $0.953/gal

SF Bay Area Region $5.875/gal (-\$0.021/gal, -0.35%)

$$\text{P}_{\text{SF Bay Area Region}} = \$6.003 + (-\$0.021) = \$5.875\text{/gal}$$

Includes CA statutory CARB excise, Cap-and-Trade & LCFS fee overhead of $0.953/gal

ULSD Distillate Crack Engine (WIP) $2.865/gal (+0.53%)

$$\text{DistillateCrack} = \$2.850 - \frac{\$75.00}{42.0} = \$0.742\text{/gal}, \quad \text{Crack}_{321} = \$0.685\text{/gal}$$

Experimental Work-In-Progress undergoing multi-week feedback loop empirical evaluation

Section 5: NOAA SPC-Style Quantitative & Narrative Synopsis

Issued: 2026-10-31 02:17:07

Executive Forecast Summary

SUMMARY FOR RUN [2026-10-31 02:17:07]: Baseline daily batch market conditions prevail with minimal exogenous shocks. Ingested supply disruption S=0.10 and geopolitical risk G=0.15 yield a price pressure vector of ΔP=+0.02/gal. Primary trigger: 'Daily Forecast Batch Execution (2026-10-31 02:17:07)'. The standardized Ridge model calculates stable wholesale futures re-anchoring, with Day-5 residual event memory decaying from M₀=0.1000 down to M₅=0.0500.

Technical Discussion & Market Dynamics

TECHNICAL DISCUSSION & MARKET DYNAMICS FOR THIS RUN: 1. Qualitative Shock Integration & Decay Dynamics: During execution 2026-10-31 02:17:07 (Mode: LIVE_PROSPECTIVE), primary event trigger 'Daily Forecast Batch Execution (2026-10-31 02:17:07)' was processed by the extraction engine. Inspiration stream ingested 3 headline bulletins from sources (NOAA NWS Storm Alert, CME Group / NYMEX, Bloomberg Market Wire). Ingested factor vector: Supply Disruption S=0.10, Price Pressure ΔP=+0.02, Geopolitical Risk G=0.15. Exponential decay constant λ = ln(2)/5.0 = 0.13863 day⁻¹ dictates daily retention factor γ ≈ 0.87055. Initial shock retention schedule for this specific execution: - Day 0: M₀ = 0.1000 - Day 1: M₁ = 0.0871 - Day 5: M₅ = 0.0500 (50.0% residual memory acting on Day-5 target horizon). 2. Substituted Regional Metro Price Calibrations: The base commodity forecast was calibrated across all 8 modeled metro locales for this run: • National Wholesale: $3.050/gal ($-0.009/gal, -0.28%) • Tulsa, OK Retail: $3.803/gal ($0.000/gal, 0.00%) • Newark, DE Retail: $3.910/gal ($-0.013/gal, -0.32%) • Cincinnati, OH/KY: $4.275/gal ($0.000/gal, 0.00%) • Greenville, NC Retail: $3.642/gal (+$0.023/gal, +0.63%) • Charlotte, NC Retail: $3.362/gal ($-0.016/gal, -0.46%) • Port St. Lucie, FL Retail: $3.880/gal ($-0.013/gal, -0.34%) • Chicago, IL/IN Retail: $4.949/gal ($0.000/gal, 0.00%) • Houston, TX Retail: $3.671/gal ($0.000/gal, 0.00%) • Los Angeles, CA Retail: $6.021/gal ($0.000/gal, 0.00%) • Denver, CO Retail: $4.292/gal ($0.000/gal, 0.00%) • New York, NY Retail: $4.405/gal ($0.000/gal, 0.00%) • Oakland, CA Retail: $5.965/gal ($0.000/gal, 0.00%) • SF Bay Area Region: $5.875/gal ($-0.021/gal, -0.35%) Largest upward shift for this run: Greenville, NC Retail at $3.642/gal (+0.023/gal). Largest downward shift for this run: SF Bay Area Region at $5.875/gal (-0.021/gal). California locations (Oakland & SF Bay Area) incorporate statutory $0.953/gal CARB excise, Cap-and-Trade, and LCFS fee overhead on top of the base commodity calibration.

Forecast Uncertainty & Counterfactual Catalysts

FORECAST UNCERTAINTY & CATALYST SCENARIOS FOR THIS RUN: Evaluated tail-risk catalysts specific to execution [2026-10-31 02:17:07]: • Execution Context: Run type 'LIVE_PROSPECTIVE' triggered by 'Daily Forecast Batch Execution (2026-10-31 02:17:07)'. Overall price pressure vector sits at ΔP=+0.02/gal. • Weather & Convective Risk: SPC convective outlook and NOAA zip-code alerts for Tulsa (74101), Newark (19711), Cincinnati (45202), Carolinas (27834/28202), and Oakland (94612) map zero active severe tornado trips for this forecast run. • Maritime & Geopolitical Exposure: Geopolitical risk score G=0.15. Counterfactual Strait of Hormuz blockade would inject +$0.109/gal (+2.88%) to current baseline. • Executive Social Media Gap Analysis: If weekend executive social media posts emerge while commodity exchanges are closed, Monday morning open price gap volatility is projected at 1.42x normal intraday range. • Climatological Plausibility Horizon: [SEASONALLY_PLAUSIBLE] Category 3 Atlantic Hurricane Landfall & Tar River Flooding; [SEASONALLY_PLAUSIBLE] Category 3 Atlantic Hurricane & Port Everglades Marine Shutdown; [SEASONALLY_PLAUSIBLE] PG&E PSPS Red Flag Wildfire Power Shutoff & Refinery Blackout; [SEASONALLY_PLAUSIBLE] Santa Ana Red Flag Wildfire & SCE/LADWP Grid PSPS Curtailment

Section 6: Advanced Quantitative Feature & Physical Data Formulas

3-2-1 Refining Crack Spread Formula (Issue #169):

$$\text{Crack}_{321} (\$/\text{bbl}) = \frac{2 \times (P_{\text{RBOB}} \times 42) + 1 \times (P_{\text{HO}} \times 42) - 3 \times P_{\text{WTI}}}{3}$$

Models refiner yield switching between gasoline and distillate heating oil.

Stacking Ensemble Quantile Bands (Issue #170):

$$P_{10} = P_{50} - 1.2815\sigma, \quad P_{90} = P_{50} + 1.2815\sigma$$

Computes 80% probabilistic confidence intervals using RidgeCV meta-learner variance.

Dynamic Volatility-Gated Persistence Blending (Issue #214):

$$\lambda_{\text{vol}} = \frac{1}{1 + e^{-200.0 \cdot (\sigma_{14\text{d}} - 0.015)}}, \quad \hat{y}_{t+5} = \lambda_{\text{vol}} \hat{y}_{\text{model}} + (1 - \lambda_{\text{vol}}) y_t$$

Blends model forecasts into naive persistence during low-volatility plateaus while preserving 100% shock reactivity.

Empirical Residual 95% Confidence Intervals (Issue #214):

$$\text{CI}_{95\%} = \hat{y}_{t+5} \pm 1.96 \cdot \sigma_{\text{residual, 30d}}(r)$$

Derives dynamic 95% confidence bands from rolling 30-day regional residual standard errors.

USGS 3D Hypocentral Attenuation & Ground Shaking (Issue #55):

$$R = \sqrt{d^2 + h^2}, \quad w(R) = \frac{1}{1 + (R/35)^2}, \quad I = 10^{M - M_{\text{base}}} \times w(R)$$

Quantifies facility-level peak ground shaking and pipeline shutoff risk indices across 5 corridors.

USGS Hydrological Barge Bottleneck Index (Issue #56):

$$\text{Index}_{\text{barge}} = \max\left(0, \min\left(1, \frac{\text{Gage}_{\text{threshold}} - \text{Gage}_t}{\text{Gage}_{\text{threshold}} - \text{Gage}_{\text{min}}}\right)\right)$$

Tracks low-water navigation draft restrictions at Memphis & Cairo confluence throttling barge throughput.

Multi-Feed AQI Standardized Flaring Outage Z-Score (Issue #54):

$$Z_{\text{PM2.5}} = \frac{\text{PM2.5}_t - \mu_{30\text{d}}}{\sigma_{30\text{d}}}, \quad Z_{\text{SO2}} = \frac{\text{SO2}_t - \mu_{30\text{d}}}{\sigma_{30\text{d}}}$$

Detects emergency refinery flaring when $Z_{\text{PM2.5}} \ge 3.5 \land Z_{\text{SO2}} \ge 2.5$ with 12-24h lead time over news.

EPA Ozone & Statutory Seasonal RVP Compliance Surcharge (Issue #73):

$$\text{Surcharge}_{\text{RVP}} = \Delta \text{Spread}_{\text{Summer Blend}} + 0.040 \cdot \mathbf{1}_{\text{AQI}_{\text{O3}} \ge 101}$$

Applies statutory summer-blend RVP constraints (CARB 7.0 psi, EPA 7.8 psi, Conventional 9.0 psi) and Ozone Action Day fees.

U.S. Census Commuter Inelastic Demand Score (Issue #75):

$$\text{Score}_{\text{inelastic}} = \frac{\text{DriveAlone} + \text{Carpool}}{\text{TotalCommuters}} \times (1 - \text{TransitIndex})$$

Calibrates retail pump price pass-through speed and baseline rack spreads from ACS commuting tables.

Treasury 10Y-2Y Term Spread & Momentum Delta (Issue #66):

$$\text{Spread}_{10\text{Y}-2\text{Y}} = Y_{10\text{Y}} - Y_{2\text{Y}}, \quad \Delta \text{Spread}_{5\text{d}} = \text{Spread}_t - \text{Spread}_{t-5}$$

Captures leading macroeconomic expansion/recession demand signals and real TIPS inventory carry costs.

Qlib Symbolic Alpha Information Coefficient (Issue #127):

$$IC_t = \text{Corr}(f_t, r_{t+h}), \quad IC_{IR} = \frac{\mu(IC)}{\sigma(IC)}$$

Evaluates AST-parsed symbolic alpha factor formulas with non-lookahead point-in-time calculation rules.

Multi-Horizon Scoreboard Performance Accuracy (Issue #209):

$$\text{MAE}_H = \frac{1}{N_H} \sum_{i=1}^{N_H} |\hat{y}_{i, H} - y_{i, H}|, \quad H \in [1\text{d}, 2\text{d}, 3\text{d}, 4\text{d}, 5\text{d}]$$

Tracks continuous rolling out-of-time accuracy breakdowns across all discrete forecast horizons.