Intelligent Forecasting

Predicting commodity prices with AI on Alternative Data

 
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What we do

We are commodity price forecasters for companies who want to manage the commodity price risk in their cost base or speculate on financial assets whose price is related to these commodities.

 

Who we are for

Corporates

We give insight into the direction of future price movements and their volatility over strategically useful time horizons. This enables purchasing managers and financial officers to carry out forward-looking control of their materials price risk - resulting in larger margins and stronger financial control.

 

Financials

We produce signals with sources of alpha in the exchange-traded commodities we focus on which are uncorrelated to other main investment styles. The signals articulate their own confidence when generated, increasing their utility for conviction based trading.

 

Why us

We use state of the art Artificial Intelligence methods on a vast array of Alternative Data sources in order to make these predictions. We embody an economic-theory grounded approach to our forecasting in order to avoid the data-mining that pure AI approaches succumb to.

 
 
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Nearly all the words for tea worldwide fall into three broad groups: techa and chai, which reflects the history and transmission of tea drinking culture and trade.

 
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Our Team

 
 

01

Manufacturing Engineers

Manufacturing engineers, with a strong focus
 on FMCG and metal processing.

02

Academics

Academics in AI as applied to financial markets,
centred on commodity futures markets.

03

Algorithmic Traders

Algorithmic traders and portfolio managers from global
Commodity Trader Advisers / Hedge Funds.

04

Supply Chain Experts

Supply chain based management consultants.

 
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Our Collaborators

We collaborate with the following organisations:

 
 
 

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Google
Cloud Platform


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Cambridge University


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Department for International Trade


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Imperial College London


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University College London