🏛 Central Banks & Macro mixed · 6–18 months
A what‑if from the future

What if Polish TTF-linked power costs squeeze heavy industry?

A European gas spike feeds through to Polish electricity prices, raising input costs for energy-intensive CEE manufacturers and denting industrial margins and the zloty.

19%
our model probability
over 6–18 months
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 19% · 90% range 8–31% · 34 analogues · measured class energy 89% in 18 mo · 3% held back for the unknown
how we built this number — every step
Measured class rate — energy ≈1.4869/yr → 89% in 18 mo89%
Analyst prior · editorial share 22% of the class20%
Pooled · weight 85%20%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)20%
Published19%

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.

loading the timeline…

What it would mean

If this plays out, it is a mixed shock. A European gas spike feeds through to Polish electricity prices, raising input costs for energy-intensive CEE manufacturers and denting industrial margins and the zloty. The trigger decomposes into signed root‑shocks — EM currencies ▼ · European energy ▲ · Industrial demand ▼ · 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.

MarketClassProjected move
1Solana SOLon Hyperliquid 📈 chartCrypto▼ -0.3%
hist -5.61–+6.92% · other way -1.59% (n=8)
2Freeport (copper) FCX 📈 chartEquity▼ -0.3%
hist -2.63–+0.72% · other way +7.97% (n=11)
3Hyperliquid (HYPE) HYPEon HyperliquidCrypto▼ -0.3%
model prior · unmeasured
4MicroStrategy MSTRon Hyperliquid 📈 chartEquity▼ -0.3%
hist -0.97–+1.99% · other way +20.17% (n=11)
5Ether ETHon Hyperliquid 📈 chartCrypto▼ -0.2%
hist -3.99–+2.86% · other way +6.04% (n=8)
6Turkish lira TRY 📈 chartFX▼ -0.2%
hist -0.8–+0.17% · other way +0.3% (n=10)
7Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▼ -0.2%
hist -0.27–+0.34% · other way +1.42% (n=11)
8Indian rupee INR 📈 chartFX▼ -0.2%
hist -0.27–+0.0% · other way +0.08% (n=10)
9Bitcoin BTCon Hyperliquid 📈 chartCrypto▼ -0.2%
hist -3.14–+1.28% · other way +10.48% (n=8)
10Copper XCUon Hyperliquid 📈 chartCommodity▼ -0.1%
hist -0.55–+0.14% · other way -0.5% (n=11)
11Tech sector XLK 📈 chartEquity▼ -0.1%
hist -0.29–+0.66% · other way +1.9% (n=11)

Probable recommendation

If the scenario above plays out, the probable cross‑asset positioning → a scenario‑conditional read, not personalized investment advice
Long
For a common-man portfolio: Mixed for a typical portfolio — the move is more about rotation than direction. Favour the winners over the losers below rather than net exposure.
Also moves (not yet on Hyperliquid): Freeport (copper) -0.3% · Turkish lira -0.2% · Indian rupee -0.2% · Tech sector -0.1%

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.

Iran hostage crisis / US freezes Iranian assets 1979-11 1979 Iranian Revolution oil shock 1979-01 Gold tops $4,000 and silver spikes past $50 in historic squeeze 2025-10 Israel strikes Iran — Operation Rising Lion 2025-06 Gold tops $3,000 for the first time amid tariff and rate-cut fears 2025-03 October 2024 Iranian ballistic-missile attack on Israel 2024-10 Gold tops $2,500 for the first time on Fed rate-cut bets 2024-08 Niger coup d'etat 2023-07 PJM grid emergency during Winter Storm Elliott 2022-12 Texas grid failure during Winter Storm Uri 2021-02 Gold closes above $2,000/oz for the first time 2020-08 Norilsk Nickel Arctic diesel spill 2020-05 Saudi-Russia oil price war 2020-03 North Korea sixth nuclear test 2017-09 North Korea 'fire and fury' nuclear scare 2017-08 OPEC abandons output defense, opting for market share vs US shale 2014-11 Gold futures velocity-logic flash crash 2014-01 Gold all-time peak of $1,921/oz 2011-09 Egyptian revolution / Mubarak uprising 2011-01 Crude oil all-time high 2008-07 Henry Hub natural gas spot price peaks during 2008 commodity boom 2008-07 Platinum hits all-time record near $2,290 on South African power crisis 2008-03 South Africa Eskom power emergency spikes platinum/PGMs 2008-01 Amaranth Advisors natural-gas blowup 2006-09 Northeast blackout cascading grid failure hits ~55 million 2003-08 Soviet August coup attempt against Gorbachev 1991-08 1986 oil price collapse bottoms below $10 a barrel 1986-07 Chernobyl disaster 1986-04 1986 oil price collapse 1986-02 Silver Thursday 1980-03 Gold peaks at $850 1980-01 Soviet invasion of Afghanistan 1979-12 Three Mile Island partial meltdown 1979-03 Iranian Revolution oil shock 1978-12
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
Volatility VIXLONG+4.4% · 5d +2.0%71%24 0.35·
Bitcoin BTCSHORT-2.9% · 5d -2.8%71%14 0.31✓ matches cascade
High-yield credit HYGSHORT-0.7% · 5d -0.2%67%21 0.26·
FCX FCXSHORT-2.2% · 5d -0.4%61%23 0.20✓ matches cascade
XLK XLKLONG+0.7% · 5d -0.5% ↺ fades61%23 0.18⚠ differs
SOL SOLLONG+7.7% · 5d -4.9% ↺ fades60%10 0.14⚠ differs
TRY TRYSHORT-0.6% · 5d +1.0% ↺ fades59%22 0.14✓ matches cascade
XCU XCUSHORT-0.4% · 5d -0.4%57%23 0.13✓ matches cascade
MSTR MSTRLONG+2.0% · 5d -3.2% ↺ fades57%23 0.10⚠ differs
NDX NDXLONG+0.4% · 5d -0.8% ↺ fades56%27 0.09⚠ differs
ETH ETHSHORT-4.0% · 5d -4.4%55%11 0.06✓ matches cascade
Gold XAUSHORT-0.7% · 5d -0.4%52%23 0.04·
10y yield DGS10LONG+1bp · 5d +4bp51%34 0.03·
INR INRSHORT-0.1% · 5d +0.2% ↺ fades41%22 0.00✓ matches cascade

Methodology. Probability and impact are anchored to history and scored against what actually happens — wins and losses, in public, at Reality Check. Crowd odds live from Polymarket & Kalshi. By Vikas Singh, Quantitative Strategist. Updated 2026-07-03.