PRODUCT

Vortexa Freight Market Outlook

Vortexa unveils Vortexa Freight Market Outlook at the Global Innovation Week, predicting the direction of freight rates with 82% accuracy four days ahead

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ANALYSIS

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EVENT

Join Vortexa at the Argus European Crude Conference in Geneva!

Meet us on the 3rd - 4th October!

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AS SEEN IN

Vortexa Intelligent Energy Markets

We make it our mission to open the world of information across all energy flows.

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The How

Big data insights that shape the market

A unique combination of deep tech and domain expertise gives you the data and insights to optimise your business. We connect energy and freight market participants to help them make better decisions on the allocation and trade of energy globally, delivering significant economical and ecological benefits to the market participants and society at large.

USE CASES

Physical trading

Freight

Financial trading

Physical trading

Identify arbitrage opportunities and discover the right buyers and sellers for spot and term contracts.

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Freight

Inspect changing market conditions to secure the lowest freight rates, enhance your fleet positioning and understand peer activity.

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Financial trading

Assess physical market movements that affect prices of energy derivatives and anticipate long or short positions on commodity futures.

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Our products

Three-step data processing

Commercial partnerships

Our products combine real-time data from 147+ satellites, 200+ billion AIS pings, and 100+ shipbrokers, customs and port agents.

Deep-domain technology

Advanced artificial intelligence speeds up big data analysis and is constantly learning to draw high accuracy predictive patterns.

Human intelligence

All of our data is validated by in-house industry experts including market analysts, data scientists and technical engineers.

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Energy expert community

Our global market analysis team provides Vortexa clients with bespoke market research and advisory services, allowing them to draw the highest value from the proprietary datasets and provide context to data trends.

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