🏛 Central Banks & Macro mixed · 1–3 years
A what‑if from the future

What if South American grain glut pressures global CORN and soy?

Record combined Brazil-Argentina grain harvests flood world markets, lifting regional export dollars while pressuring CORN and soybean prices.

28%
our model probability
over 1–3 years
prediction markets — wisdom of the crowd
loading live odds…
Empirically anchored 28% · 90% range 8–47% · 40 analogues · measured class deflation 69% in 3 yr · 3% held back for the unknown
how we built this number — every step
Measured class rate — deflation ≈0.3895/yr → 69% in 3 yr69%
Analyst prior · editorial share 41% of the class28%
Pooled · weight 87%28%
Crowd — no liquid market
Reserve 3% · no extremizing (×1.0)28%
Published28%

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 1–3 years 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. Record combined Brazil-Argentina grain harvests flood world markets, lifting regional export dollars while pressuring CORN and soybean prices. The trigger decomposes into signed root‑shocks — Corn ▼ · EM currencies ▲ · Food inflation ▼ · 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
1Turkish lira TRY 📈 chartFX▲ +0.4%
hist +0.11–+0.23% · other way -6.86% (n=8)
2Corn CORNon Hyperliquid 📈 chartCommodity▼ -0.4%
hist -0.54–+1.17% · other way +0.38% (n=8)
3Indian rupee INR 📈 chartFX▲ +0.4%
hist +0.03–+0.22% · other way -0.54% (n=8)
4Solana SOLon Hyperliquid 📈 chartCrypto▲ +0.3%
hist -2.96–+6.3% · other way -1.26% (n=7)
5Hyperliquid (HYPE) HYPEon HyperliquidCrypto▲ +0.3%
model prior · unmeasured
6MicroStrategy MSTRon Hyperliquid 📈 chartEquity▲ +0.3%
hist -6.46–+13.16% · other way -2.05% (n=8)
7Ether ETHon Hyperliquid 📈 chartCrypto▲ +0.2%
hist -0.88–+2.34% · other way -0.96% (n=8)
8Nasdaq 100 NDXon Hyperliquid 📈 chartIndex▲ +0.2%
hist +-0.0–+0.3% · other way +0.65% (n=8)
9Chinese yuan CNY 📈 chartFX▲ +0.2%
hist -0.27–+0.2% · other way -0.88% (n=8)
10Bitcoin BTCon Hyperliquid 📈 chartCrypto▲ +0.2%
hist -2.47–+6.01% · other way +1.12% (n=8)
11Tech sector XLK 📈 chartEquity▲ +0.1%
hist -0.11–+0.41% · other way +1.17% (n=8)

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): Turkish lira +0.4% · Indian rupee +0.4% · Chinese yuan +0.2% · 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.

India RBI growth-pivot rate cut 2025-12 Platinum hits an 11-year high on Chinese jewelry demand and deficit 2025-06 Bitcoin tops $111,970 for a new all-time high 2025-05 Nasdaq Composite first close above 20000 2024-12 S&P 500 first close above 6000 2024-11 Henry Hub natural gas hits a 25-year low amid record US production 2024-11 Palladium jumps after US pushes G7 sanctions on Russian metal 2024-10 Waha hub natural gas prices crash to record negative on Permian glut 2024-08 Nikkei 225 record single-day rebound 2024-08 Alphabet announces its first-ever dividend 2024-04 Ukrainian drone strikes hit Russian refineries, lifting crude and gasoline 2024-03 S&P 500 first close above 5000 2024-02 Neuralink implants its first human brain-computer interface 2024-01 Nifty 50 first crosses 20000 2023-09 LK-99 room-temperature superconductor claim 2023-07 Nifty 50 first crosses 19000 2023-06 Strong May 2023 jobs report jolts yields higher 2023-06 Nvidia AI-guidance blowout ignites the automation/AI capex wave 2023-05 OpenAI releases GPT-4 2023-03 NIF achieves fusion ignition 2022-12 European TTF gas hits all-time record high 2022-08 Bank of England's first post-pandemic rate hike 2021-12 Nasdaq Composite first close above 15000 2021-08 Wegovy 2021-06 S&P 500 first close above 4000 2021-04 KOSPI first close above 3000 2021-01 First mRNA COVID-19 vaccine authorized 2020-12 AlphaFold cracks the protein-folding problem 2020-11 US 2020 election 'divided government' relief rally 2020-11 Nasdaq Composite first close above 10000 2020-06 Tesla posts surprise Q3 profit, shares soar 2019-10 S&P 500 first close above 3000 2019-07 Jacob Zuma resigns as president 2018-02 Sintra tantrum 2017-06 French presidential runoff 2017-05 French presidential first round 2017-04 French election first round triggers relief rally 2017-04 AlphaGo defeats Lee Sedol 2016-03 Bank of Japan adopts negative interest rates 2016-01 SpaceX lands an orbital rocket booster 2015-12
AssetHistory saysAbnormal (20d · 5d)HitnConfidencevs cascade
TRY TRYLONG+0.0% · 5d +1.4%65%40 0.24✓ matches cascade
Volatility VIXSHORT-2.4% · 5d -6.4%65%40 0.23·
CORN CORNLONG+1.2% · 5d -0.3% ↺ fades62%40 0.21⚠ differs
10y yield DGS10LONG+6bp · 5d +3bp62%40 0.19·
High-yield credit HYGSHORT-0.3% · 5d -0.1%62%40 0.17·
CNY CNYSHORT-0.3% · 5d -0.2%57%40 0.15⚠ differs
US dollar DXYSHORT-0.2% · 5d -0.1%60%40 0.15·
NDX NDXLONG+0.2% · 5d -0.8% ↺ fades57%40 0.11✓ matches cascade
INR INRSHORT-0.1% · 5d +0.1% ↺ fades57%40 0.10⚠ differs
Bitcoin BTCLONG+5.7% · 5d -2.3% ↺ fades55%40 0.09✓ matches cascade
Gold XAUSHORT-0.1% · 5d -0.9%55%40 0.09·
ETH ETHLONG+2.1% · 5d -4.2% ↺ fades55%33 0.07✓ matches cascade
SOL SOLLONG+6.0% · 5d -3.3% ↺ fades43%30 0.00✓ matches cascade
MSTR MSTRLONG+12.8% · 5d -2.1% ↺ fades50%40 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.