What if a state-actor hack drains billions from a top crypto exchange?
A state-actor or criminal hack drains a top crypto exchange's hot wallets of billions, freezing withdrawals and sparking contagion across the digital-asset sector, replaying and exceeding prior exchange heists.
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 6–18 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 state-actor or criminal hack drains a top crypto exchange's hot wallets of billions, freezing withdrawals and sparking contagion across the digital-asset sector, replaying and exceeding prior exchange heists. The trigger decomposes into signed root‑shocks — Bitcoin ▼ · Volatility (VIX) ▲ · Crypto confidence ▼ · Crypto liquidity ▼ — 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 | MicroStrategy MSTRon Hyperliquid 📈 chart | Equity | ▼ -6.3% hist -4.82–-0.39% · other way -5.96% (n=12) |
| 2 | Ether ETHon Hyperliquid 📈 chart | Crypto | ▼ -5.2% hist -11.57–+0.9% · other way -3.85% (n=12) |
| 3 | Solana SOLon Hyperliquid 📈 chart | Crypto | ▼ -3.7% hist -7.5–+0.33% · other way -15.5% (n=12) |
| 4 | Bitcoin BTCon Hyperliquid 📈 chart | Crypto | ▼ -3.5% hist -4.26–-0.26% · other way -3.27% (n=12) |
| 5 | Coinbase COINon Hyperliquid 📈 chart | Equity | ▼ -2.5% hist -1.73–-0.29% · other way +6.46% (n=12) |
| 6 | Hyperliquid (HYPE) HYPEon Hyperliquid | Crypto | ▼ -1.3% model prior · unmeasured |
| 7 | Volatility (VIX) VIXon Hyperliquid 📈 chart | Vol | ▲ +0.3% hist -2.9–+1.39% · other way +2.0% (n=12) |
Probable recommendation
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 | -5.2% · 5d -10.7% | 71% | 23 | 0.32 | ✓ matches cascade |
| ETH ETH | SHORT | -8.1% · 5d -9.2% | 68% | 28 | 0.29 | ✓ matches cascade |
| Gold XAU | LONG | +0.9% · 5d +-0.0% ↺ fades | 59% | 39 | 0.17 | · |
| High-yield credit HYG | LONG | +0.3% · 5d -0.1% ↺ fades | 58% | 38 | 0.12 | · |
| Volatility VIX | SHORT | -2.9% · 5d +3.4% ↺ fades | 56% | 39 | 0.10 | ⚠ differs |
| US dollar DXY | SHORT | -0.2% · 5d +0.1% ↺ fades | 54% | 40 | 0.06 | · |
| 10y yield DGS10 | SHORT | -12bp · 5d -3bp | 52% | 40 | 0.04 | · |
| COIN COIN | LONG | +0.7% · 5d -3.8% ↺ fades | 52% | 23 | 0.03 | ⚠ differs |
| Bitcoin BTC | SHORT | -2.1% · 5d -5.8% | 51% | 30 | 0.02 | ✓ matches cascade |
| MSTR MSTR | LONG | +2.2% · 5d -4.1% ↺ fades | 48% | 39 | 0.00 | ⚠ differs |