Trading Battery Kills — April 2026
Seven signals previously on the trading-signals dashboard were killed by the April 2026 five-test finding-validator battery. This page carries the full per-signal narrative; the main killed-signals page holds the Observatory-wide kill list and the other April 2026 batteries.
In April 2026 we applied a formal five-test finding-validator battery to every active trading signal on the public dashboard. The battery: Monte Carlo null, blind replication with era split, specificity against negative controls, tolerance sensitivity. Of sixteen signals tested, seven failed all four pass-fail criteria. Three were directional inversions where the observed effect ran opposite to the published claim. We document them here in the same spirit as the classical kill cases on the main killed-signals page.
COT commercial extreme — corn, wheat, crude oil PURE NOISE · EUR/USD DIRECTIONAL INVERSION
Hypothesis: Extreme commercial hedger short positioning (z-score below minus two) signals contrarian buy opportunities.
Why it seemed plausible: Commercial hedgers are producers and end-users; when they are maximally short, the market prices in the most bearish scenario physical participants expect. Contrarian trades at these extremes have produced returns in academic literature.
What the tests showed:
- Corn: hit rate near the null, specificity barely above 1x.
- Wheat: hit rate below null - worse than random across the held-out window.
- Crude oil: hit rate above null but null is itself elevated by a secular bull phase; specificity marginal.
- EUR/USD: Directional kill. At extreme speculator-long positioning, EUR/USD rises 73% of the time at 8-week horizon, not falls.
Verdict: KILLED for corn, wheat, crude. EUR/USD directionally inverted. COT positioning as a contrarian signal does not generalise across commodity futures at the strength originally claimed.
Sahm Rule → commodity demand destruction DIRECTIONAL INVERSION
Hypothesis: When the Sahm Rule triggers, commodity demand destruction follows and commodity prices decline over six to twelve months.
Why it seemed plausible: The Sahm Rule is a reliable recession indicator; recessions reduce industrial activity which drives commodity demand.
What the tests showed:
- At Sahm >= 0.5: observed +1.1% vs null +2.1%, z-direction minus 0.5. No signal.
- At Sahm >= 1.0: observed +7.2%, z in hypothesis direction minus 2.03.
- At Sahm >= 1.5: observed +20.0% at 6m, z in hypothesis direction minus 5.61.
The more extreme the recession signal, the larger the subsequent commodity rally. The 2008 and 2020 Sahm triggers both produced massive commodity rallies - China stimulus after 2008, Federal Reserve quantitative easing and reflation after 2020.
Verdict: DIRECTIONALLY INVERTED. The published claim is directionally backwards. The real pattern appears to be that extreme recession signals precede policy response which precedes a commodity-friendly reflationary regime. Whether a reframed version of the claim survives its own devil’s advocate pass is a separate question we have not completed.
SIPRI military spending → commodity bull phases DIRECTIONAL INVERSION
Hypothesis: Global military spending surges (year-over-year growth above five per cent in real terms) lead commodity price booms by two to four years.
Why it seemed plausible: World wars produced commodity booms; Cold War build-ups drove sustained metals demand. NATO commitments of 2023 and 2024 looked like the start of another cycle.
What the tests showed:
- Milex surge years (seventeen events, 1950-2024): +6.64% commodity returns at two-year lag.
- Background: +6.35%.
- Milex decline years: +8.05%.
Military surge effect is indistinguishable from baseline. Military declines actually precede higher commodity returns. The hypothesis does not survive at any tolerance threshold.
Verdict: KILLED. Historical wartime booms were driven by specific supply disruptions (oilfields occupied, minerals in combat zones, shipping interdicted), not generic industrial-mobilisation demand. Peacetime military surges do not reproduce the effect. The 2025-2027 bullish-commodities prediction attached to NATO 2023-2024 surges is not supported by the seventy-four-year record.
Market microstructure Kitchin — spectral transmission PURE NOISE
Hypothesis: The 3.4-year Kitchin inventory cycle propagates through financial microstructure, producing detectable spectral peaks in the 2.5-4.5 year band of credit spreads (BAA-10Y) and VIX.
Why it seemed plausible: The Kitchin cycle is well-documented in inventory data. If inventory drives real activity it should leave a spectral signature in credit and volatility series sensitive to that activity.
What the tests showed:
- BAA-10Y Lomb-Scargle peak in Kitchin band (2.5-4.5y): 0.079.
- Juglar band (7-11y): 0.142.
- Kuznets band (15-25y): 0.224.
The Kitchin-band peak is the smallest of the three. It is also indistinguishable from phase-randomised surrogates (surrogate null 0.085 plus or minus 0.021; observed 0.079 is below the null mean). Both BAA and VIX fail the peak-significance test.
Verdict: KILLED as a spectral-transmission claim. The mechanism operates through real-economic phase, not credit-spread spectral power.
Updated kill rate
As of April 2026 the Observatory’s trading-signal kill rate after formal battery testing is approximately 44 per cent of tested signals. This is higher than the corpus-wide Observatory kill rate of 16.3 per cent because the battery applies a stricter multi-test standard than the original confirmation process. We consider the higher number a feature. The signals that survive carry correspondingly higher confidence.
The main list above illustrates classical kill modes (mechanism, surrogate, adaptive response). The April 2026 set illustrates a different lesson: a signal passing single-test validation does not imply the signal survives held-out replication, era stability, threshold sensitivity, and specificity against controls simultaneously. The five-test battery is how we separate the two.