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

What if Fed misreads a productivity boom and over-eases into hot demand?

Mistaking AI-driven productivity gains for slack, the Fed cuts into accelerating demand, fuelling an inflationary melt-up that later forces a sharp reversal; breakevens and real yields whipsaw.

27%
our model probability
over 6–18 months
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 27% · 90% range 5–49% · 10 analogues · measured class monetary_easing 83% in 18 mo · 3% held back for the unknown
how we built this number — every step
Measured class rate — monetary_easing ≈1.1779/yr → 83% in 18 mo83%
Analyst prior · editorial share 29% of the class24%
Pooled · weight 62%28%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)28%
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 risk-on shock. Mistaking AI-driven productivity gains for slack, the Fed cuts into accelerating demand, fuelling an inflationary melt-up that later forces a sharp reversal; breakevens and real yields whipsaw. The trigger decomposes into signed root‑shocks — Fed policy path ▼ · Growth surprise ▲ · Inflation expectations ▲ · Inflation surprise ▲ · 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▲ +0.8%
hist -1.48–+3.01% · other way +23.82% (n=3)
2Ether ETHon Hyperliquid 📈 chartCrypto▲ +0.7%
hist -4.62–+6.0% · other way -2.78% (n=3)
3MicroStrategy MSTRon Hyperliquid 📈 chartEquity▲ +0.7%
hist -1.73–+3.08% · other way -7.52% (n=9)
4Hyperliquid (HYPE) HYPEon HyperliquidCrypto▲ +0.6%
model prior · unmeasured
5Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +0.5%
hist -0.27–+1.05% · other way +0.52% (n=10)
6Volatility (VIX) VIXon Hyperliquid 📈 chartVol▼ -0.4%
hist -0.69–+0.08% · other way +5.59% (n=10)
7S&P 500 SPXon Hyperliquid 📈 chartIndex▲ +0.3%
hist -0.13–+0.68% · other way -0.74% (n=12)
8Bitcoin BTCon Hyperliquid 📈 chartCrypto▲ +0.3%
hist -3.76–+2.22% · other way -15.0% (n=7)
9Gold XAUon Hyperliquid 📈 chartCommodity▼ -0.3%
hist -2.11–+1.1% · other way +0.66% (n=9)
10Coinbase COINon Hyperliquid 📈 chartEquity▲ +0.4%
hist -8.48–+4.3% · other way -1.92% (n=2)
1130y Treasury yield DGS30 📈 chartRate▲ +4bp
hist -9.14–+18.88% · other way -5.8% (n=12)
1210y Treasury yield DGS10 📈 chartRate▲ +3bp
hist -11.12–+21.32% · other way -7.8% (n=12)
13High-yield credit HYG 📈 chartRate▲ +0.3%
hist +0.0–+0.43% · other way +0.33% (n=8)
14Semiconductors SMHon Hyperliquid 📈 chartEquity▲ +0.3%
hist -1.88–+3.25% · other way +0.0% (n=9)

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): 30y Treasury yield +4bp · 10y Treasury yield +3bp · High-yield credit +0.3% · Tech sector +0.3%

Historical precedent — what analogous events actually did

Across 10 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.

Bank of Japan Kuroda QQE 'bazooka' 2013-04 India RBI growth-pivot rate cut 2025-12 Nasdaq Composite first close above 20000 2024-12 Bank of England's first post-pandemic rate hike 2021-12 Turkish lira record low on rate cuts 2021-11 S&P 500 first close above 4000 2021-04 US 2020 election 'divided government' relief rally 2020-11 Bank of Japan introduces Yield Curve Control 2016-09 Fed surprise inter-meeting cut 2001-01 Volcker Saturday Night Special 1979-10
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
COIN COINSHORT-8.5% · 5d -0.1%100%4 0.58⚠ differs
Bitcoin BTCSHORT-4.0% · 5d -3.2%86%7 0.49⚠ differs
High-yield credit HYGLONG+0.2% · 5d -0.1% ↺ fades76%8 0.37✓ matches cascade
SMH SMHLONG+3.2% · 5d +0.3%68%9 0.33✓ matches cascade
Gold XAUSHORT-1.9% · 5d -0.8%68%9 0.30✓ matches cascade
30y yield DGS30LONG+17bp · 5d +4bp67%10 0.28✓ matches cascade
10y yield DGS10LONG+20bp · 5d +6bp67%10 0.28✓ matches cascade
US dollar DXYSHORT-0.0% · 5d -0.1%62%10 0.19·
NVDA NVDALONG+3.6% · 5d -0.4% ↺ fades58%9 0.13✓ matches cascade
Volatility VIXSHORT-0.4% · 5d -3.8%53%9 0.03✓ matches cascade
SOL SOLLONG+2.2% · 5d -1.6% ↺ fades33%6 0.00✓ matches cascade
ETH ETHLONG+5.7% · 5d +1.6%50%6 0.00✓ matches cascade
MSTR MSTRLONG+2.6% · 5d -3.4% ↺ fades32%9 0.00✓ matches cascade
NDX NDXLONG+0.7% · 5d -0.2% ↺ fades47%9 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.