Is recession around? Putting AI into everyday commodity decisions
At GLOBOIL India 2026, Nagaraj Meda's presentation started a conversation we believe in deeply: AI should not just predict prices. It should become part of everyday decision-making.
One lesson has held constant at TransGraph since 2003. Automated outlooks can improve the odds of identifying the price path a market will take, but market judgement goes beyond parameter-driven calculation.
So is our AI model predicting a recession? Built on 30 engineered data features, it estimated the probability of recession, at the time of the presentation, at 14.8% within three months, 18.9% within six months and 41.6% within twelve months.
That is not a price forecast. It is a decision framework — one that helps analysts, traders, risk managers and AI/ML models choose which price-forecasting scenario to work from.
With TransRisk, the price outlook meets your books. AI forecasts, in-house trader views or external forecast services can be applied directly to your net open position. The result is more than accurate reporting of where you stand today: it is a forward-looking MtM P&L, and a practical step towards managing risk before it arrives.
For Oil & Oilseeds businesses, TransRisk carries purpose-built industry algorithms: Realised P&L on dispatched quantities, Closed P&L on quantities matched to sales (mark-to-sales), and Open MtM on net exposure. Alongside them, refining and replacement margins by plant and board margins by market give the decision a dependable data layer to stand on.
Automated capture from ERPs, broker statements and system-generated email reports saves traders and MIS teams time that used to go into assembling the numbers — and increases trust in the numbers themselves.
Our thanks to the clients and well-wishers who have encouraged us over the years and helped us build a better solution for commodity risk management.
Do you include forecasted MtM in your net exposure reporting, or is your risk view still limited to today's positions?
Read the discussion on LinkedIn →