ZINC Fusion v16
A commodity forecasting platform for Chris Stacy, connecting soybean-oil markets, procurement scenarios, policy and sentiment. In development.
Layers in use / Build · Intelligence
Chris Stacy
Soybean-oil procurement
2026 · In development
Forecasting application · Market dashboards · Procurement scenarios · Policy and sentiment intelligence
The decision to support.
- Market evidence
- Forecast horizons
- Cost scenarios
- Purchasing context
For a soybean-oil buyer, a price chart is the start of the decision. Purchasing also depends on timing, market pressure, policy changes and the possible cost of waiting. ZINC Fusion v16 is a separate forecasting project for Chris Stacy, built to bring that evidence into a procurement-focused workspace.
- 01
A current market price needs context from energy, currencies, processing margins and fund positioning.
- 02
Procurement decisions need a view across near-term and longer-term forecast horizons.
- 03
Policy activity and headline sentiment need source dates and clear explanations of what each reading means.
What ZINC is building.
- 01
Built a market dashboard around soybean-oil futures, with related-market readings, a probability surface, risk factors and source intelligence.
- 02
Developed a strategy view connecting forecast checkpoints, scenarios and purchasing timing with the buyer’s cost exposure.
- 03
Created dedicated policy and sentiment views: government activity and source priority on one page; fund positioning, market mood and headline context on another.
- 04
Connected the Next.js application with Supabase serving records and a Python modeling pipeline. Eleven specialist domains cover the market forces behind procurement decisions.
The layers in use.
Build
A dedicated forecasting application with connected dashboard, strategy, policy intelligence and sentiment pages.
Demand
Search and advertising management are outside this forecasting project.
Intelligence
Market evidence, specialist modeling and procurement scenarios presented with source dates, forecast horizons and data-availability context.
Inside the forecasting platform.
Dashboard, strategy, policy intelligence and sentiment views from the platform in development. Private figures removed.
