What did you make?
Starvest is a satellite-driven trading signal for Frozen Concentrated Orange Juice (FCOJ) futures. It pulls 20 years of NASA MODIS satellite imagery to measure the health of Florida's orange groves every January through March, then issues a directional prediction on OJ futures before the April expiry. The dashboard shows the full backtest, NDVI trend, yield vs. price history, and the current 2026 signal (LONG).
What was challenging?
Cleaning and aligning six independent data sources (NASA satellite data via Google Earth Engine, USDA crop stats, ICE futures prices, NOAA weather records, and Brazil production data) across 20 years without gaps or mismatches. Florida's orange industry has shrunk 69% since 2005 due to citrus greening disease, so the signal had to account for a structurally collapsing baseline, not just year-to-year weather noise.
What are you proud of?
The backtest hits 62% directional accuracy (13/21 years) using only publicly available NASA data, no proprietary feeds. The whole pipeline runs on free APIs and the dashboard works without any setup for the judge.
What should people know so they can test your project?
The live dashboard is deployed and requires no setup, just click the link. If you want to run it locally, clone the repo and run streamlit run dashboard/app.py. The pre-built CSV is included so no API keys are needed.
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