📈 Markets & Finance mixed · 6–18 months
A what‑if from the future

What if Falling iron ore eases steel costs for autos and construction?

An iron-ore glut lowers steelmaking costs, relieving auto, machinery and construction input bills; downstream margins improve in a consumer-friendly shift.

27%
our model probability
over 6–18 months
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 27% · 90% range 15–39% · 40 analogues · measured class growth 94% in 18 mo · 3% held back for the unknown
how we built this number — every step
Measured class rate — growth ≈1.8868/yr → 94% in 18 mo94%
Analyst prior · editorial share 29% of the class28%
Pooled · weight 87%27%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)27%
Published27%

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. An iron-ore glut lowers steelmaking costs, relieving auto, machinery and construction input bills; downstream margins improve in a consumer-friendly shift. The trigger decomposes into signed root‑shocks — China growth ▼ · Consumer spending ▲ · 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
1Freeport (copper) FCX 📈 chartEquity▼ -0.5%
hist -6.25–+1.45% · other way +7.78% (n=12)
2Copper XCUon Hyperliquid 📈 chartCommodity▼ -0.3%
hist -1.87–+0.37% · other way -0.13% (n=12)
3Solana SOLon Hyperliquid 📈 chartCrypto▲ +0.3%
hist -7.1–+3.0% · other way +20.37% (n=7)
4Hyperliquid (HYPE) HYPEon HyperliquidCrypto▲ +0.3%
model prior · unmeasured
5MicroStrategy MSTRon Hyperliquid 📈 chartEquity▲ +0.3%
hist -1.5–+4.17% · other way +1.18% (n=12)
6Ether ETHon Hyperliquid 📈 chartCrypto▲ +0.2%
hist -7.14–+2.47% · other way +6.19% (n=8)
7Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +0.2%
hist -0.31–+0.27% · other way +1.52% (n=12)
8China internet KWEBon Hyperliquid 📈 chartEquity▼ -0.2%
hist -3.76–+0.67% · other way +1.29% (n=8)
9Alibaba BABAon Hyperliquid 📈 chartEquity▼ -0.2%
hist -2.22–+0.68% · other way -3.04% (n=8)
10Bitcoin BTCon Hyperliquid 📈 chartCrypto▲ +0.2%
hist -3.51–+1.5% · other way +8.18% (n=8)
11Tech sector XLK 📈 chartEquity▲ +0.1%
hist -0.12–+0.47% · other way +1.59% (n=12)

Probable recommendation

If the scenario above plays out, the probable cross‑asset positioning → a scenario‑conditional read, not personalized investment advice
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) -0.5% · Tech sector +0.1%

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.

Platinum hits an 11-year high on Chinese jewelry demand and deficit 2025-06 Soviet August coup attempt against Gorbachev 1991-08 Gold tops $4,000 and silver spikes past $50 in historic squeeze 2025-10 China retaliates to Liberation Day: 34% tariffs + rare-earth controls 2025-04 Gold tops $3,000 for the first time amid tariff and rate-cut fears 2025-03 Palladium jumps after US pushes G7 sanctions on Russian metal 2024-10 ASML bookings-miss crash 2024-10 Gold tops $2,500 for the first time on Fed rate-cut bets 2024-08 Nikkei 225 record single-day rebound 2024-08 Offshore yuan hits a record low 2022-11 China fires ballistic missiles into Japan's EEZ during Taiwan drills 2022-08 Alibaba upsizes buyback to record $25 billion 2022-03 Kaisa Group offshore default 2021-12 Evergrande debt crisis - global selloff 2021-09 Didi removed from China app stores after NYSE IPO 2021-07 Bitcoin May 2021 crash 2021-05 Copper tops $10,000 a tonne for the first time since 2011 2021-04 Gold closes above $2,000/oz for the first time 2020-08 Chinese yuan breaks 7 per dollar; US names China manipulator 2019-08 Apple cuts revenue guidance on China weakness 2019-01 North Korea sixth nuclear test 2017-09 North Korea 'fire and fury' nuclear scare 2017-08 China stock-market circuit-breaker fiasco 2016-01 August 24, 2015 ETF flash crash 2015-08 China's PBOC reveals 57% jump in gold reserves after six-year silence 2015-07 Shanghai A-share bubble peak / crash begins 2015-06 Gold futures velocity-logic flash crash 2014-01 Gold all-time peak of $1,921/oz 2011-09 Egyptian revolution / Mubarak uprising 2011-01 Silver hits 30-year high as JPMorgan and HSBC face manipulation suits 2010-10 Copper crashes to ~$1.30/lb as 2008 crisis crushes China demand 2008-12 China 4 trillion yuan stimulus 2008-11 2008 global rice crisis: Thai benchmark tops $1,000/ton 2008-04 October 27, 1997 mini-crash 1997-10 Asian financial crisis - Thai baht float 1997-07 Tiananmen Square crackdown 1989-06 Hong Kong Stock Exchange four-day closure after Black Monday 1987-10 Chernobyl disaster 1986-04 Silver Thursday 1980-03 Gold peaks at $850 1980-01
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
KWEB KWEBSHORT-3.1% · 5d -2.4%70%26 0.36✓ matches cascade
FCX FCXSHORT-5.3% · 5d -2.5%65%34 0.27✓ matches cascade
XCU XCUSHORT-1.5% · 5d -1.1%65%32 0.26✓ matches cascade
High-yield credit HYGSHORT-0.6% · 5d +0.0% ↺ fades66%32 0.25·
SOL SOLSHORT-6.9% · 5d -15.3%66%17 0.23⚠ differs
ETH ETHSHORT-6.6% · 5d -8.1%64%19 0.23⚠ differs
BABA BABASHORT-2.0% · 5d -2.9%61%25 0.18✓ matches cascade
Volatility VIXSHORT-0.1% · 5d -0.6%60%35 0.16·
MSTR MSTRLONG+3.8% · 5d -4.5% ↺ fades57%32 0.12✓ matches cascade
Bitcoin BTCSHORT-3.4% · 5d -3.4%57%25 0.11⚠ differs
Gold XAULONG+0.4% · 5d +0.2%55%32 0.09·
US dollar DXYLONG+0.3% · 5d -0.0% ↺ fades55%40 0.09·
NDX NDXSHORT-0.4% · 5d -1.3%54%38 0.06⚠ differs
XLK XLKLONG+0.4% · 5d -0.6% ↺ fades54%32 0.06✓ 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.