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

What if China unleashes large fiscal-monetary stimulus?

Beijing answers external pressure with a major stimulus package; china_growth and industrial metals firm, EM FX rallies and the global reflation trade gets a bid.

34%
our model probability
over 6–18 months
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 34% · 90% range 12–55% · 9 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 43% of the class40%
Pooled · weight 60%35%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)35%
Published34%

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 risk-on shock. Beijing answers external pressure with a major stimulus package; china_growth and industrial metals firm, EM FX rallies and the global reflation trade gets a bid. The trigger decomposes into signed root‑shocks — Copper ▲ · China growth ▲ · China stimulus ▲ · 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▲ +2.0%
hist -5.64–+7.43% · other way +2.06% (n=12)
2Copper XCUon Hyperliquid 📈 chartCommodity▲ +1.6%
hist +0.29–+2.33% · other way -0.23% (n=12)
3China internet KWEBon Hyperliquid 📈 chartEquity▲ +0.9%
hist -4.46–+2.64% · other way -3.24% (n=12)
4Alibaba BABAon Hyperliquid 📈 chartEquity▲ +0.8%
hist -7.45–+3.78% · other way -2.61% (n=12)
5Solana SOLon Hyperliquid 📈 chartCrypto▲ +0.8%
hist -0.19–+1.56% · other way -12.84% (n=11)
6Aussie dollar AUD 📈 chartFX▲ +0.7%
hist -0.95–+0.99% · other way +0.17% (n=12)
7Hyperliquid (HYPE) HYPEon HyperliquidCrypto▲ +0.7%
model prior · unmeasured
8MicroStrategy MSTRon Hyperliquid 📈 chartEquity▲ +0.7%
hist -12.43–+15.83% · other way +1.17% (n=12)
9Ether ETHon Hyperliquid 📈 chartCrypto▲ +0.5%
hist -7.76–+9.04% · other way -6.9% (n=11)
10Chinese yuan CNY 📈 chartFX▲ +0.5%
hist -0.21–+0.84% · other way -0.14% (n=12)
11Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +0.4%
hist +0.22–+0.45% · other way -0.38% (n=12)
12Bitcoin BTCon Hyperliquid 📈 chartCrypto▲ +0.4%
hist -0.67–+1.27% · other way -2.88% (n=12)
13Semiconductors SMHon Hyperliquid 📈 chartEquity▲ +0.4%
hist -0.19–+0.86% · other way -1.17% (n=12)
14Volatility (VIX) VIXon Hyperliquid 📈 chartVol▼ -0.4%
hist -6.35–+2.74% · other way -1.87% (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: A typical stock-heavy portfolio should benefit. Stay invested; you can lean modestly into the beneficiaries below.
Also moves (not yet on Hyperliquid): Freeport (copper) +2.0% · Aussie dollar +0.7% · Chinese yuan +0.5% · Tech sector +0.3% · Turkish lira +0.3% · Indian rupee +0.2%

Historical precedent — what analogous events actually did

Across 9 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 Palladium jumps after US pushes G7 sanctions on Russian metal 2024-10 Copper tops $10,000 a tonne for the first time since 2011 2021-04 China's PBOC reveals 57% jump in gold reserves after six-year silence 2015-07 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 Soviet August coup attempt against Gorbachev 1991-08 Volcker Saturday Night Special 1979-10
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
BABA BABASHORT-7.6% · 5d -1.2%100%4 0.70⚠ differs
High-yield credit HYGSHORT-1.9% · 5d -0.2%87%7 0.65⚠ differs
KWEB KWEBSHORT-4.9% · 5d -1.4%100%4 0.64⚠ differs
TRY TRYSHORT-2.9% · 5d -0.2%87%7 0.54⚠ differs
AUD AUDSHORT-1.4% · 5d -0.4%87%7 0.51⚠ differs
MU MUSHORT-5.3% · 5d -4.1%76%8 0.48⚠ differs
Volatility VIXSHORT-6.0% · 5d -3.0%88%8 0.47✓ matches cascade
CL CLSHORT-6.5% · 5d -2.9%73%7 0.41⚠ differs
INR INRSHORT-0.7% · 5d +0.1% ↺ fades73%7 0.38⚠ differs
SPX SPXSHORT-1.3% · 5d -0.5%74%9 0.36⚠ differs
COIN COINLONG+29.7% · 5d +13.0%71%3 0.34✓ matches cascade
KR200 KR200SHORT-1.8% · 5d -0.5%67%7 0.23⚠ differs
MSTR MSTRLONG+16.4% · 5d -2.5% ↺ fades60%7 0.18✓ matches cascade
CNY CNYSHORT-0.5% · 5d +0.0% ↺ fades60%7 0.18⚠ differs

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.