What if a celebrated AI unicorn turns out to be a fraud?
An AI-hardware unicorn exposed for fabricated customer contracts is the cleanest AI-capex confidence short: NVDA/AVGO/MU and the SOX lead lower as the buildout's demand assumptions are questioned, bleeding into high-beta crypto. The structural analogue blends DeepSeek (Jan-2025, AI-demand doubt) with a Wirecard-style fraud reveal — a narrative break, not a fundamentals break. Forward angle: if the fraud is one private name (not a hyperscaler order), real capex is intact, so fade the contagion once balance-sheet capex guidance from the actual buyers reaffirms.
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 celebrated AI hardware unicorn is exposed as fabricating customer contracts, collapsing the entire AI-adjacent equity complex. The trigger decomposes into signed root‑shocks — AI capex ▼ · 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 | Nvidia NVDAon Hyperliquid 📈 chart | Equity | ▼ -2.3% hist -1.33–-0.58% · other way +4.19% (n=12) |
| 2 | Broadcom AVGOon Hyperliquid 📈 chart | Equity | ▼ -1.7% hist -1.5–+0.29% · other way +5.73% (n=12) |
| 3 | Micron MUon Hyperliquid 📈 chart | Equity | ▼ -1.6% hist -4.22–+0.3% · other way -1.63% (n=12) |
| 4 | Solana SOLon Hyperliquid 📈 chart | Crypto | ▼ -1.5% hist -9.72–+1.28% · other way -17.09% (n=11) |
| 5 | Semiconductors SMHon Hyperliquid 📈 chart | Equity | ▼ -1.3% hist -0.89–-0.2% · other way +1.37% (n=12) |
| 6 | MicroStrategy MSTRon Hyperliquid 📈 chart | Equity | ▼ -1.4% hist -1.98–+2.17% · other way +10.05% (n=12) |
| 7 | Nasdaq 100 NDXon Hyperliquid 📈 chart | Index | ▼ -1.1% hist -0.77–-0.28% · other way +0.03% (n=12) |
| 8 | Hyperliquid (HYPE) HYPEon Hyperliquid | Crypto | ▼ -1.1% model prior · unmeasured |
| 9 | Ether ETHon Hyperliquid 📈 chart | Crypto | ▼ -1.0% hist -8.49–+2.16% · other way +0.11% (n=11) |
| 10 | AMD AMDon Hyperliquid 📈 chart | Equity | ▼ -0.9% hist -1.35–+0.02% · other way -3.31% (n=12) |
| 11 | TSMC TSMon Hyperliquid 📈 chart | Equity | ▼ -0.9% hist -0.77–+0.07% · other way +1.86% (n=12) |
| 12 | Marvell MRVLon Hyperliquid 📈 chart | Equity | ▼ -0.9% hist -0.96–+0.74% · other way +0.78% (n=12) |
| 13 | Bitcoin BTCon Hyperliquid 📈 chart | Crypto | ▼ -0.8% hist -5.17–+1.52% · other way +3.62% (n=12) |
| 14 | ASML ASMLon Hyperliquid 📈 chart | Equity | ▼ -0.8% hist -2.78–+0.85% · other way -0.21% (n=12) |
Probable recommendation
Why we may diverge from history
Trust history on XLF/HYG: numerous clean on-channel AI-chip selloffs (DeepSeek, ASML miss, Dot-com peak) show financials/credit barely move; the cascade over-reaches stretching AI-fraud into bank beta.
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 | -7.7% · 5d -6.4% | 72% | 39 | 0.34 | ✓ matches cascade |
| MU MU | SHORT | -3.0% · 5d -3.2% | 71% | 40 | 0.32 | ✓ matches cascade |
| INTC INTC | SHORT | -4.4% · 5d -2.7% | 65% | 40 | 0.30 | ✓ matches cascade |
| ETH ETH | SHORT | -7.2% · 5d -5.3% | 63% | 40 | 0.21 | ✓ matches cascade |
| JPM JPM | LONG | +1.3% · 5d +0.4% | 63% | 40 | 0.21 | ⚠ differs |
| NVDA NVDA | SHORT | -0.2% · 5d -3.1% | 63% | 40 | 0.19 | ✓ matches cascade |
| XLF XLF | LONG | +0.6% · 5d +0.2% | 61% | 40 | 0.19 | ⚠ differs |
| Gold XAU | LONG | +0.5% · 5d -0.2% ↺ fades | 61% | 40 | 0.19 | ✓ matches cascade |
| AMD AMD | SHORT | -0.8% · 5d -2.2% | 61% | 40 | 0.17 | ✓ matches cascade |
| NDX NDX | SHORT | -0.2% · 5d -1.1% | 61% | 40 | 0.16 | ✓ matches cascade |
| Bitcoin BTC | SHORT | -4.4% · 5d -3.1% | 59% | 40 | 0.14 | ✓ matches cascade |
| QCOM QCOM | SHORT | -2.2% · 5d -2.7% | 57% | 40 | 0.11 | ✓ matches cascade |
| AUD AUD | LONG | +0.2% · 5d -0.0% ↺ fades | 55% | 40 | 0.09 | ⚠ differs |
| US dollar DXY | SHORT | -0.0% · 5d +0.0% ↺ fades | 55% | 40 | 0.09 | · |
Why this probability
AI hype frothy; smaller fabrication exposures plausible; full unicorn-fraud collapse less common; 6-18mo. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.