The grasshopper egg cycle that predicts the corn harvest. The fertiliser ingredient shortage in Donetsk that rewrites the wheat price six months later. Macro commodity markets are driven by upstream signals that most traders never see — because they're watching the price, not the pattern.
Signals to Noise is a continuous-intelligence engine that tracks upstream/downstream commodity dependencies, detects emerging pattern anomalies, and translates them into measurable Signal Ratios — so you see the move before the market does.
Our core metric. A Signal Ratio measures the divergence between an upstream commodity indicator and its downstream market price — surfacing the gap before it closes.
Seasonal, geopolitical, and supply-chain patterns across energy, agriculture, metals, and food inputs. When a pattern recurs, you get an alert — not a news article three weeks later.
Aggregates commodity-relevant news, social sentiment, and event signals from 200+ monitored sources. Weighed against historical pattern precedents to separate signal from noise.
Every commodity has a dependency chain. A nitrogen fertiliser shortage doesn't show in grain prices for two seasons — but Signals to Noise detects the upstream disruption and maps its downstream path.
No commitment. We'll email you when early access opens.