What if extreme Nordic power-price swings stress energy-intensive Norwegian industry?
Extreme Nordic power-price swings from hydrology and European-grid coupling stress energy-intensive Norwegian industry and the loans tied to it.
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. Extreme Nordic power-price swings from hydrology and European-grid coupling stress energy-intensive Norwegian industry and the loans tied to it. The trigger decomposes into signed root‑shocks — Climate/crop supply ▲ · Credit spreads ▲ · European energy ▲ · Industrial demand ▼ — 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 | Wheat WHEATon Hyperliquid 📈 chart | Commodity | ▲ +0.4% hist -0.75–+0.55% · other way +0.26% (n=12) |
| 2 | Freeport (copper) FCX 📈 chart | Equity | ▼ -0.3% hist -5.36–+0.91% · other way +6.91% (n=12) |
| 3 | Corn CORNon Hyperliquid 📈 chart | Commodity | ▲ +0.3% hist -1.53–+1.0% · other way +1.79% (n=12) |
| 4 | High-yield credit HYG 📈 chart | Rate | ▼ -0.2% hist -0.88–+0.12% · other way +1.23% (n=10) |
| 5 | Financials XLF 📈 chart | Equity | ▼ -0.2% hist -0.11–-0.04% · other way -1.27% (n=12) |
| 6 | Copper XCUon Hyperliquid 📈 chart | Commodity | ▼ -0.1% hist -3.74–+0.49% · other way -0.13% (n=12) |
| 7 | MicroStrategy MSTRon Hyperliquid 📈 chart | Equity | ▼ -0.2% hist -0.62–+0.16% · other way +20.99% (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 |
|---|---|---|---|---|---|---|
| XCU XCU | SHORT | -3.0% · 5d -1.3% | 73% | 37 | 0.43 | ✓ matches cascade |
| FCX FCX | SHORT | -4.4% · 5d -2.1% | 70% | 37 | 0.36 | ✓ matches cascade |
| Bitcoin BTC | SHORT | -1.8% · 5d -2.5% | 70% | 20 | 0.33 | · |
| High-yield credit HYG | SHORT | -0.7% · 5d -0.2% | 68% | 37 | 0.29 | ✓ matches cascade |
| Volatility VIX | LONG | +6.4% · 5d +3.6% | 62% | 37 | 0.22 | · |
| US dollar DXY | LONG | +0.9% · 5d +0.2% | 61% | 40 | 0.21 | · |
| MSTR MSTR | SHORT | -0.5% · 5d -3.4% | 57% | 37 | 0.10 | ✓ matches cascade |
| WHEAT WHEAT | SHORT | -0.9% · 5d -1.3% | 54% | 37 | 0.07 | ⚠ differs |
| Gold XAU | SHORT | -0.2% · 5d -0.2% | 51% | 37 | 0.03 | · |
| CORN CORN | SHORT | -1.7% · 5d -1.3% | 49% | 37 | 0.00 | ⚠ differs |
| XLF XLF | LONG | +0.0% · 5d -0.7% ↺ fades | 49% | 37 | 0.00 | ⚠ differs |
| 10y yield DGS10 | SHORT | -1bp · 5d +2bp ↺ fades | 48% | 40 | 0.00 | · |