What if a mega-cap stock gaps down 20% in a liquidity vacuum?
A mega-cap gapping 20% on a liquidity vacuum drags index ETFs and forces dealer gamma hedging, amplifying the move mechanically across the tape. Rhymes with the 2010 flash crash and single-name air pockets like Meta's -26% Feb-2022 day, where dealer hedging and ETF arbitrage spread the shock. Skeptic's note: the systemic read is overstated — it's a gamma/liquidity event that stabilizes once market makers re-tighten; trade the vol spike and the snap-back, not a regime change.
how we built this number — every step
The class rate is measured from our dated, sourced event library (decade-normalized Poisson — the full table is public at base_rates.json). The variant’s share within its class is the analyst’s editorial call, published so you can audit it. A wider range means thinner precedent. Full recipe: methodology · scored at Reality Check.
The butterfly cascade
How this trigger trickles across markets, left → right — the root shock, its first‑order moves, then the ripple effects. Drag any node; tap a market for its real price history.
Resolution timeline — how this probability is moving
Our model's odds (gold) over time vs the crowd's (Polymarket, blue), from the past toward the 0–6 months horizon. Each dot is a real macro event that nudged the probability — green pushed it up, red pushed it down. Tap a dot for the source. The gold path is an illustrative reconstruction anchored to today's estimate — real dated events, not a live re-estimate history.
What it would mean
If this plays out, it is a risk-off shock. A mega-cap stock gaps down 20% intraday on a liquidity vacuum as market makers widen, dragging index ETFs and gamma hedges with it. The trigger decomposes into signed root‑shocks — Volatility (VIX) ▲ · Financial conditions ▲ · Risk appetite ▼ — which propagate through our causal graph to the markets below.
If it happens — the markets it would move
Biggest moves first. Projected moves are cascade-model priors; hist A–B% = what comparable past events actually did (measured abnormal returns), and model prior · unmeasured marks markets with no analogue backing yet. Tap any market for its price history.
| Market | Class | Projected move | |
|---|---|---|---|
| 1 | Volatility (VIX) VIXon Hyperliquid 📈 chart | Vol | ▲ +2.0% hist -0.01–+1.3% · other way -0.58% (n=12) |
| 2 | Solana SOLon Hyperliquid 📈 chart | Crypto | ▼ -1.9% hist -12.46–+4.46% · other way -1.04% (n=11) |
| 3 | MicroStrategy MSTRon Hyperliquid 📈 chart | Equity | ▼ -1.9% hist -3.69–+0.34% · other way +27.47% (n=12) |
| 4 | Nasdaq 100 NDXon Hyperliquid 📈 chart | Index | ▼ -1.6% hist -1.02–-0.61% · other way +0.06% (n=12) |
| 5 | Ether ETHon Hyperliquid 📈 chart | Crypto | ▼ -1.2% hist -5.79–+1.88% · other way +4.87% (n=11) |
| 6 | Hyperliquid (HYPE) HYPEon Hyperliquid | Crypto | ▼ -1.2% model prior · unmeasured |
| 7 | Bitcoin BTCon Hyperliquid 📈 chart | Crypto | ▼ -1.1% hist -1.58–+1.18% · other way +6.05% (n=11) |
| 8 | Tech sector XLK 📈 chart | Equity | ▼ -1.1% hist -0.91–+0.24% · other way +0.09% (n=12) |
| 9 | S&P 500 SPXon Hyperliquid 📈 chart | Index | ▼ -0.9% hist -0.83–-0.2% · other way +0.04% (n=12) |
| 10 | Coinbase COINon Hyperliquid 📈 chart | Equity | ▼ -0.7% hist -1.67–+1.05% · other way +21.75% (n=11) |
| 11 | Semiconductors SMHon Hyperliquid 📈 chart | Equity | ▼ -0.7% hist -0.77–+1.56% · other way +2.75% (n=12) |
| 12 | High-yield credit HYG 📈 chart | Rate | ▼ -0.6% hist -0.75–-0.04% · other way -0.28% (n=12) |
| 13 | Nvidia NVDAon Hyperliquid 📈 chart | Equity | ▼ -0.5% hist -1.48–+2.33% · other way +3.35% (n=12) |
| 14 | Financials XLF 📈 chart | Equity | ▼ -0.4% hist -1.57–+0.36% · other way +0.01% (n=12) |
Probable recommendation
Why we may diverge from history
Trust the cascade short on MSTR; +6% is swamped by its BTC driver and biased by 2023 crypto-bull windows — and this high-beta name is exactly what gaps down in a liquidity air pocket.
Historical precedent — what analogous events actually did
Across 40 analogous events (overlap‑weighted), as abnormal returns — market beta stripped, so it's the event's own effect, not the market backdrop. Shown at 20 days (persistent) and 5 days (immediate); ↺ fades = the two horizons disagree. Confidence = consistency × sample × significance.
| Asset | History says | Abnormal (20d · 5d) | Hit | n | Confidence | vs cascade |
|---|---|---|---|---|---|---|
| SOL SOL | SHORT | -11.0% · 5d -11.0% | 87% | 9 | 0.44 | ✓ matches cascade |
| AVGO AVGO | LONG | +4.8% · 5d +0.1% | 71% | 27 | 0.41 | ⚠ differs |
| ETH ETH | SHORT | -4.9% · 5d -5.4% | 73% | 13 | 0.33 | ✓ matches cascade |
| High-yield credit HYG | SHORT | -0.4% · 5d -0.3% | 63% | 34 | 0.22 | ✓ matches cascade |
| SMH SMH | LONG | +1.7% · 5d -0.2% ↺ fades | 62% | 37 | 0.21 | ⚠ differs |
| JPM JPM | SHORT | -0.8% · 5d -1.5% | 61% | 40 | 0.20 | ✓ matches cascade |
| MSTR MSTR | SHORT | -2.5% · 5d -2.9% | 62% | 37 | 0.19 | ✓ matches cascade |
| XLF XLF | SHORT | -1.3% · 5d -1.3% | 59% | 37 | 0.18 | ✓ matches cascade |
| COIN COIN | LONG | +1.6% · 5d +5.7% | 60% | 9 | 0.17 | ⚠ differs |
| Gold XAU | LONG | +1.3% · 5d +0.4% | 58% | 37 | 0.15 | ✓ matches cascade |
| Volatility VIX | SHORT | -0.7% · 5d +5.5% ↺ fades | 56% | 38 | 0.12 | ⚠ differs |
| Bitcoin BTC | LONG | +1.8% · 5d -2.8% ↺ fades | 56% | 16 | 0.10 | ⚠ differs |
| QCOM QCOM | SHORT | -2.0% · 5d -2.2% | 58% | 38 | 0.10 | ✓ matches cascade |
| USDJPY USDJPY | LONG | +0.2% · 5d -0.1% ↺ fades | 55% | 37 | 0.09 | ⚠ differs |
Why this probability
Mega-cap 20% intraday gaps happen on earnings/liquidity vacuums; concentrated index makes recurrence likely. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.