What if data centres spike US natural gas demand?
A data-center/electrification demand surge against flat output lifts Henry Hub, but the dominant trade is the AI-capex read-through — gas-fired baseload is the binding constraint on compute, so NVDA and the power-hungry semi complex stay bid. Rhymes with the 2024 'AI needs power' repricing that re-rated IPPs (Vistra, Constellation) and gas names. Forward angle: unlike past gas spikes that were bearish for industry, here the gas bid and the chip bid are the SAME phenomenon — datacenter load.
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. A data-center and electrification surge collides with flat output, spiking US natural gas prices. The trigger decomposes into signed root‑shocks — Natural gas ▲ · AI capex ▲ — 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 | ▲ +1.0% hist -0.09–+0.79% · other way -3.19% (n=12) |
| 2 | Natural gas NGon Hyperliquid 📈 chart | Commodity | ▲ +0.9% hist -0.44–+0.59% · other way +4.24% (n=12) |
| 3 | Broadcom AVGOon Hyperliquid 📈 chart | Equity | ▲ +0.7% hist -0.14–+0.47% · other way -0.43% (n=12) |
| 4 | Micron MUon Hyperliquid 📈 chart | Equity | ▲ +0.7% hist -0.01–+0.49% · other way +0.87% (n=12) |
| 5 | Semiconductors SMHon Hyperliquid 📈 chart | Equity | ▲ +0.5% hist -0.01–+0.65% · other way -0.28% (n=12) |
| 6 | AMD AMDon Hyperliquid 📈 chart | Equity | ▲ +0.3% hist -2.04–+0.71% · other way -0.96% (n=12) |
| 7 | TSMC TSMon Hyperliquid 📈 chart | Equity | ▲ +0.3% hist -0.6–+1.94% · other way -1.8% (n=12) |
| 8 | Marvell MRVLon Hyperliquid 📈 chart | Equity | ▲ +0.3% hist -1.88–+1.17% · other way +0.5% (n=12) |
| 9 | ASML ASMLon Hyperliquid 📈 chart | Equity | ▲ +0.3% hist -1.15–+0.61% · other way -2.54% (n=12) |
| 10 | Qualcomm QCOMon Hyperliquid 📈 chart | Equity | ▲ +0.2% hist -1.35–+0.58% · other way -1.82% (n=12) |
| 11 | Wheat WHEATon Hyperliquid 📈 chart | Commodity | ▲ +0.2% hist -1.32–+0.43% · other way +6.33% (n=12) |
| 12 | Corn CORNon Hyperliquid 📈 chart | Commodity | ▲ +0.2% hist -0.24–+0.81% · other way +1.95% (n=12) |
| 13 | Intel INTCon Hyperliquid 📈 chart | Equity | ▲ +0.2% hist -0.09–+0.53% · other way -4.71% (n=12) |
| 14 | EUR/USD EURUSDon Hyperliquid 📈 chart | FX | ▼ -0.2% hist -0.18–+0.12% · other way -0.13% (n=12) |
Probable recommendation
Why we may diverge from history
Trust the cascade on ASML/AMD: the small negative history is AI-capex cycle noise (Nvidia/TSMC windows), a swamped channel — a US gas-demand spike is third-order for chip-equipment names driven by the AI buildout.
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 |
|---|---|---|---|---|---|---|
| WHEAT WHEAT | SHORT | -1.2% · 5d -0.6% | 64% | 40 | 0.28 | ⚠ differs |
| AMD AMD | SHORT | -1.9% · 5d -2.7% | 64% | 40 | 0.24 | ⚠ differs |
| INTC INTC | LONG | +0.4% · 5d -1.1% ↺ fades | 62% | 40 | 0.23 | ✓ matches cascade |
| NG NG | SHORT | -0.8% · 5d -2.6% | 60% | 40 | 0.20 | ⚠ differs |
| Gold XAU | LONG | +1.1% · 5d -0.3% ↺ fades | 60% | 40 | 0.19 | · |
| QCOM QCOM | SHORT | -1.4% · 5d -1.9% | 60% | 40 | 0.17 | ⚠ differs |
| AVGO AVGO | SHORT | -0.4% · 5d -3.1% | 59% | 34 | 0.16 | ⚠ differs |
| SMH SMH | LONG | +0.4% · 5d -0.7% ↺ fades | 57% | 40 | 0.12 | ✓ matches cascade |
| TSM TSM | LONG | +1.7% · 5d -0.9% ↺ fades | 57% | 40 | 0.12 | ✓ matches cascade |
| ASML ASML | SHORT | -1.2% · 5d -1.9% | 57% | 40 | 0.11 | ⚠ differs |
| CORN CORN | LONG | +0.7% · 5d -0.5% ↺ fades | 55% | 40 | 0.09 | ✓ matches cascade |
| MU MU | SHORT | -0.3% · 5d -2.0% | 53% | 40 | 0.05 | ⚠ differs |
| Volatility VIX | LONG | +0.5% · 5d -1.8% ↺ fades | 53% | 40 | 0.04 | · |
| NVDA NVDA | SHORT | -0.5% · 5d -4.7% | 45% | 40 | 0.00 | ⚠ differs |
Why this probability
Datacenter-driven gas demand already developing; 6-18mo window captures real price spikes. A base‑rate‑anchored prior, continuously scored against what actually happens — not a forecast.