The new External Data Sources feature allows Vortexa users to distinguish between BoLs, port and fixtures data that underpin product and grade information.
The new External Data Sources feature allows Vortexa users to distinguish between BoLs, port and fixtures data that underpin product and grade information across the Vortexa Analytics platform, Excel Add-in and the API
Additional insight into Vortexa’s model alignment with external data gives users greater confidence in model outputs and more flexibility in their analysis.
External, or hard data is primary source information originating from operational or legal sources, such as charterparties, fixtures, or Bills of Lading (BoLs).
From an energy trading perspective, not knowing the specifics of cargo on board can have major regulatory, tax, and financial implications, leading to flawed supply-demand balances, distorting price forecasts and potentially influencing the desk to take positions on the wrong basis.
External data sources are often seen as extra validation for cargo intelligence and sought after by traders and analysts alike.
The new External Data Sources feature reveals the specific hard data behind each cargo movement, adding an extra layer of transparency to our product and grade modelling.
Users can now distinguish between BoLs, fixtures, and port data through a dedicated tag, each providing a distinct market insight.
Where no external data backs a cargo movement, Vortexa’s model confidence is indicated with one, two, or three dots in ascending order.
Visibility into individual external data sources adds market-specific nuance to the data, enabling more informed decisions guided by user expertise.
Assessing data credibility: BoLs are legally binding documents often considered more reliable than fixtures, which can be more speculative in nature.
Understanding information timing: Fixtures may indicate future movements while BoLs reflect completed loadings; Port data might lag or be updated in near real-time, depending on the port.
Interpreting market implications accurately: Cargo backed by a fixture could still be cancelled or rerouted; A BoL-backed cargo is confirmed and en-route. Similarly, port data could signal operational delays or deviations.
Ultimately, data source granularity is about control, context, and confidence: Traders may price cargo differently based on whether it's speculative or confirmed; Analysts may weigh supply-demand balances differently based on source certainty.
At Vortexa, we apply the same high verification standards to all data, whether sourced externally or internally. Rather than assuming accuracy based on the source, every data point we ingest is validated through a rigorous testing process.
Our product and grades models - trained on over a decade of historical data - uses logical rules to flag anomalies, such as unexpected changes in origin, destination, or grade. As an additional safeguard, our in-house analysts continuously monitor the data, applying their expertise to investigate anything that doesn’t align with market reality. It’s by staying so close to the data that our analysts deliver cutting-edge Loading link....
External Data Sources can be accessed via our web platform, Excel Add-in and the API. Loading link...today to experience how truly granular market data can transform your workflow.
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