What if a memory-chip glut sends DRAM prices crashing 50 percent?
A 50% DRAM/NAND spot crash from oversupply guts Micron/SK Hynix margins — a memory-specific glut (semiconductor_risk negative), which is why fab/litho names hold or firm rather than fall. Rhymes with the 2018–19 and 2022 memory down-cycles where commodity-memory pricing collapsed while logic held up better. Forward angle: HBM for AI is the swing — if the glut is commodity DDR while HBM stays tight, Micron's blended hit is smaller than the spot print implies; watch the mix, not the headline.
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 mixed shock. Memory makers flood the market, sending DRAM and NAND spot prices down 50% and gutting Micron and SK Hynix margins. The trigger decomposes into signed root‑shocks — AI capex ▼ · Semiconductor supply risk ▼ — 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 | TSMC TSMon Hyperliquid 📈 chart | Equity | ▲ +1.1% hist -1.46–+2.2% · other way +2.11% (n=12) |
| 2 | ASML ASMLon Hyperliquid 📈 chart | Equity | ▲ +0.5% hist -2.33–+2.17% · other way -1.97% (n=12) |
| 3 | Semiconductors SMHon Hyperliquid 📈 chart | Equity | ▲ +0.2% hist -0.33–+0.58% · other way +1.52% (n=12) |
| 4 | Nvidia NVDAon Hyperliquid 📈 chart | Equity | ▲ +0.2% hist -0.79–+0.63% · other way +2.48% (n=12) |
| 5 | Broadcom AVGOon Hyperliquid 📈 chart | Equity | ▼ -0.1% hist -1.0–+0.55% · other way +0.78% (n=12) |
| 6 | AMD AMDon Hyperliquid 📈 chart | Equity | ▲ +0.2% hist -0.75–+0.71% · other way -1.2% (n=12) |
| 7 | Marvell MRVLon Hyperliquid 📈 chart | Equity | ▲ +0.2% hist -0.96–+1.0% · other way +2.1% (n=12) |
Probable recommendation
Why we may diverge from history
Trust measured history's short: AMD/TSM/NVDA analogues are clean, recent, on-channel chip-supply selloffs (ASML miss, Micron guide-down, DeepSeek) — the cascade's bullish read over-reaches against a real DRAM glut.
Historical precedent — what analogous events actually did
Across 10 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 |
|---|---|---|---|---|---|---|
| Gold XAU | LONG | +1.4% · 5d -0.5% ↺ fades | 73% | 10 | 0.36 | · |
| 10y yield DGS10 | SHORT | -15bp · 5d 0bp | 73% | 10 | 0.36 | · |
| Bitcoin BTC | SHORT | -4.7% · 5d -2.0% | 73% | 10 | 0.35 | · |
| High-yield credit HYG | LONG | +0.8% · 5d +0.3% | 73% | 10 | 0.34 | · |
| NVDA NVDA | SHORT | -0.9% · 5d -3.7% | 73% | 10 | 0.29 | ⚠ differs |
| AVGO AVGO | SHORT | -0.9% · 5d -3.2% | 64% | 10 | 0.22 | ✓ matches cascade |
| US dollar DXY | SHORT | -0.2% · 5d +0.2% ↺ fades | 64% | 10 | 0.21 | · |
| ASML ASML | SHORT | -2.9% · 5d -5.5% | 64% | 10 | 0.20 | ⚠ differs |
| TSM TSM | SHORT | -2.2% · 5d -2.3% | 64% | 10 | 0.19 | ⚠ differs |
| AMD AMD | SHORT | -0.9% · 5d -4.3% | 64% | 10 | 0.19 | ⚠ differs |
| SMH SMH | SHORT | -0.5% · 5d -2.0% | 55% | 10 | 0.08 | ⚠ differs |
| MRVL MRVL | SHORT | -1.2% · 5d -1.5% | 55% | 10 | 0.07 | ⚠ differs |
| Volatility VIX | LONG | +3.2% · 5d +0.7% | 55% | 10 | 0.07 | · |
Why this probability
Memory is cyclical; 50% DRAM/NAND spot crashes are common base-rate over 6-18mo, though AI demand cushions. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.