What if a quantum computing advance raises fears that crypto private keys can be broken?
A credible advance in quantum computing raises fears that crypto private keys could be broken, triggering a pre-emptive sell-off and a scramble to migrate to quantum-resistant chains.
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 1–3 years 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 mixed shock. A credible advance in quantum computing raises fears that crypto private keys could be broken, triggering a pre-emptive sell-off and a scramble to migrate to quantum-resistant chains. The trigger decomposes into signed root‑shocks — Bitcoin ▼ · 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 | ▼ -7.1% hist -3.98–-1.95% · other way -8.21% (n=12) |
| 2 | Ether ETHon Hyperliquid 📈 chart | Crypto | ▼ -5.8% hist -9.95–+0.35% · other way -7.55% (n=12) |
| 3 | Solana SOLon Hyperliquid 📈 chart | Crypto | ▼ -4.0% hist -3.74–-0.5% · other way -16.24% (n=12) |
| 4 | Bitcoin BTCon Hyperliquid 📈 chart | Crypto | ▼ -4.0% hist -14.85–+0.49% · other way -5.09% (n=12) |
| 5 | Coinbase COINon Hyperliquid 📈 chart | Equity | ▼ -2.8% hist -2.34–+1.41% · other way -0.99% (n=12) |
| 6 | Hyperliquid (HYPE) HYPEon Hyperliquid | Crypto | ▼ -1.5% model prior · unmeasured |
Probable recommendation
Historical precedent — what analogous events actually did
Across 34 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 |
|---|---|---|---|---|---|---|
| Bitcoin BTC | SHORT | -10.8% · 5d -8.8% | 77% | 26 | 0.49 | ✓ matches cascade |
| SOL SOL | SHORT | -1.9% · 5d -11.9% | 74% | 19 | 0.40 | ✓ matches cascade |
| ETH ETH | SHORT | -6.5% · 5d -7.8% | 67% | 24 | 0.28 | ✓ matches cascade |
| Volatility VIX | LONG | +7.2% · 5d -0.9% ↺ fades | 66% | 32 | 0.28 | · |
| MSTR MSTR | SHORT | -0.4% · 5d -5.3% | 61% | 31 | 0.19 | ✓ matches cascade |
| US dollar DXY | LONG | +0.2% · 5d -0.0% ↺ fades | 62% | 34 | 0.19 | · |
| Gold XAU | SHORT | -1.2% · 5d -1.1% | 58% | 31 | 0.14 | · |
| COIN COIN | LONG | +2.6% · 5d -2.5% ↺ fades | 58% | 19 | 0.13 | ⚠ differs |
| High-yield credit HYG | LONG | +0.2% · 5d +0.2% | 58% | 31 | 0.13 | · |
| 10y yield DGS10 | SHORT | -2bp · 5d -2bp | 47% | 34 | 0.00 | · |