Question

How do trading strategies behave in sharp crashes?

Per-strategy bucket scores under the SHARP_CRASH failure mode (peak-to-trough ≥ 20% within 30 days + elevated crash-window volatility).

Short answer

Strategies score across a wide range in the sharp crash bucket — top 78/100 (RSI with SMA 200 Trend Filter), bottom 38 (Buy and Hold S&P 500). 4 of 13 strategies have this bucket augmented from a-priori tags (Phase 18d).

sharp crash bucket scores

StrategyAssetSHARP_CRASH scoren augmentedOverall score
RSI with SMA 200 Trend FilterSPY78.5 / 100076 / 100
Supertrend StrategySPY66.0 / 100060 / 100
EMA 12/26 CrossoverSPY64.8 / 100054 / 100
Buy and Hold BitcoinBTC52.9 / 10010253 / 100
EMA 12/26 Crossover (BTC)BTC48.4 / 10010255 / 100
MACD + RSI Confirmation (BTC)BTC46.9 / 10010250 / 100
MACD Signal Line CrossoverSPY45.8 / 100060 / 100
SMA 200 Trend Following (GOLD)GOLD45.4 / 100051 / 100
Bollinger Band BounceSPY45.1 / 100060 / 100
SMA 200 CrossoverSPY43.7 / 100051 / 100
RSI 30/70 Mean ReversionSPY41.3 / 100051 / 100
RSI 30/70 Mean Reversion (BTC)BTC39.5 / 10010251 / 100
Buy and Hold S&P 500SPY37.9 / 100059 / 100

Bucket scores are computed on replicas ex-post-classified into the SHARP_CRASH bucket via operational gating definitions; when bucket-n < 5 the bucket is augmented with a-priori-tagged replicas (Phase 18d). 0–100; higher = better behaviour under this stress condition.

Related strategy reports

Related failure-mode definitions

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Data is sourced from the curated case set: 31 empirical anchors + 32 synthetic stress probes across 9 score buckets, V2 per-FM-bucket scoring with a-priori augmentation. See /methodology.

Programmatic access: POST /api/v1/agent/analyze · GET /api/v1/catalog/query · see /interop.