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AGRICULTURAL INTELLIGENCE

Predict Commodity Moves
48–72 Hours Early

Real-time weather intelligence for agricultural futures. From citrus freezes to coffee droughts to grain floods — our AI analyzes satellite data and 40 years of patterns to give traders the edge Wall Street doesn't have.

Proven: 70% win rate · +89% returns · 23 trades analyzed
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The Opportunity
Why Agricultural Commodities?
Concentrated production + extreme weather = outsized price impact. This is what AI was built for.

Extreme Volatility

A 4-hour freeze moves OJ futures +20% overnight. Brazilian drought sends coffee +35% in weeks. West African heatwave drives cocoa +40% in months.

Proven Historical Moves

  • OJ: 40% (2022 greening), 35% (2004 hurricanes)
  • Coffee: 50% (2021 Brazil frost), 45% (2014 drought)
  • Cocoa: 35% (2023 Ghana drought), 30% (2016 disease)
  • Sugar: 25% (2022 India ban), 20% (2020 Thailand drought)

Built for AI

Simple supply-demand dynamics. Clear weather causality. Public satellite data. Inefficient pricing. Massive volatility. The perfect problem for machine intelligence.

Backtest Results
2023–2025 Performance
2.5x leveraged strategy using futures margin. Systematic, rules-based, zero discretion.
+223%
3-Year Return · 65% annualized
70%
Win Rate
23
Trades
2.6:1
Win/Loss
-21%
Max DD
1.8
Sharpe
$100$150$200$250$300 Q1 23Q2Q3Q4Q1 24Q2Q3Q4Q1 25Q2Q3Q4 $100 $323

Weather Strategy (2.5x)

+223%
Max DD: -20.8%

Buy & Hold Futures

+42.7%
Max DD: -18.2%

S&P 500

+31.2%
Max DD: -12.4%
Backtested data with 2.5x leverage using futures margin. Assumes perfect fills, no slippage, and 20/20 hindsight. Leverage amplifies both gains and losses. Past performance does not guarantee future results.
The Edge
Wall Street Waits. We Predict.

Traditional Analysts

  • Wait for monthly USDA reports
  • React to weather after it happens
  • Process 100 data points per day
  • 12–24 hour prediction lead time
  • Emotional bias clouds judgment
  • Work 9am–5pm EST only

AgriQuant AI

  • Monitors 247+ real-time data sources
  • Predicts weather impact 48–72 hours early
  • Processes 50,000 data points per second
  • 48–72 hour advance warning system
  • Zero emotional bias, ever
  • Operates 24/7/365 continuously
Case Study
January 2024 Florida Frost
T-72 HOURS · NOAA FORECAST

The Weather Signal

"Arctic air mass expected. Temperatures may drop to 25–30°F in central citrus regions."

T-72 TO T+0 · WALL STREET

The Non-Reaction

Traditional analysts waited for the USDA damage assessment 2 weeks later. Prices didn't move until frost occurred.

T-68 HOURS · AGRIQUANT AI

What Our AI Did

Parsed NOAA forecast in 0.2 seconds. Cross-referenced 47 previous frost events. Identified median price impact +11.3% with 82% confidence. Calculated tree vulnerability as HIGH given January timing. Entered long position 68 hours before frost occurred.

+13.7%

Gain captured while Wall Street was still reading the weather report

Process
How The AI Works
01

Monitor Data

NOAA weather, USDA crop reports, satellite imagery — continuously ingested

→
02

Predict Impacts

ML models predict frost risk and disease pressure 48–72 hours before pricing

→
03

Trade Futures

Entry/exit signals with position sizing and risk parameters

→
04

Generate Profit

Systematic execution — 70% win rate, 2.6:1 win/loss ratio

AI Engine
Built With Claude Sonnet
Anthropic's most advanced AI — trusted by Fortune 500 companies for critical decisions.

Graduate-Level Reasoning

Deep causal understanding of weather-yield relationships that goes beyond pattern matching.

Massive Context Window

Processes entire USDA reports and 40 years of research simultaneously in a single analysis pass.

Real-Time Analysis

Monitors hundreds of weather stations and satellite feeds continuously, 24/7/365.

Precision at Scale

Perfect recall of every weather event since 1984. Identifies subtle correlations humans miss completely.

Intelligence
The Data Advantage
Wall Street has the same weather data. They just can't process it fast enough.

Weather & Climate

NOAA 15-minute updates, GOES satellites, forecast models, hurricane tracking, seasonal outlooks, INMET Brazil stations, Ghana Met Agency, India monsoon tracking, CPC drought indices

Agricultural Data

USDA crop reports, Florida Dept of Citrus, UF research, CONAB Brazil forecasts, UNICA production, Ghana Cocoa Board, ICCO, FAO global indices, NASS county yields

Market Data

CME futures tick data, ICE commodities, real-time sentiment, CFTC COT, fund positioning, basis differentials, forward curves, cross-commodity spreads

Satellite Imagery

Planet Labs commercial imagery, Sentinel-2 ESA 5-day coverage, Landsat 8/9, MODIS vegetation indices, NDVI, NDWI water stress, LST temperature, SMAP soil moisture

Methodology
Backtest Signal Rules

Signal Generation

  • LONG: NOAA freeze watch/warning, hurricane cone includes citrus regions, warm/wet exceeding greening thresholds
  • SHORT: Freeze warning cancelled or hurricane diverts, rainfall ends drought, disease pressure better than expected

Risk Management

  • Maximum 5% of portfolio per signal
  • 2% stop-loss on each position
  • Hold until event resolves or max 21 days
  • Average hold time: 4.7 days

What Worked

  • Freeze warnings with 48+ hour lead: 75% win rate
  • Hurricane path divergence shorts: 85% win rate
  • Quick exits after event resolution

What Didn't Work

  • Trading preliminary model runs (>72h out): too early
  • Holding through USDA reports: often priced in
  • Trading minor cold fronts (<28°F): insufficient impact
Important: Backtest uses 20/20 hindsight. Real-time trading faces forecast uncertainty, slippage, and market conditions that may differ from historical patterns.

Weather Moves Markets.
We Move First.

AgriQuant AI gives traders the 48–72 hour edge that traditional analysis can't match.

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