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Oil traders seem to be going to great lengths to work out the POO going by this article, look at the article site for a pictorial example....
Oil Traders Are Now Watching Workers’ Phones to Spot Problems at Refineries
In the $40 trillion global oil-trading market, the smallest clue can be worth millions.
Take the number of people working at a refinery: Outside contractors are brought in for routine maintenance or to handle accidents that could limit demand for crude oil or curb the supply of fuels. While oil companies rarely reveal such sensitive information, traders can gain insight into refinery operations by tracking the number of mobile phones at the plant, a proxy for the arrival of support crews.
It’s the latest example of how traders, rival companies and analysts are turning to new sources of information to get an edge in markets where trading is increasingly driven by algorithms that crunch vast troves of data. By using so-called geolocation information that can originate from mobile apps, data scientists can track human behavior, from shopping habits to hotel occupancy rates.
“For oil traders, knowing where the workers are and how many there are will absolutely help traders know how much output the refinery is producing,” Claire Curry, BloombergNEF’s head of digital industry, said in an email. “Unconventional forms of data -- like where people are in a plant, or the levels of oil in tankers -- will become available not to just large companies who collect the data, but to the cleverest data scientist with the best algorithms.” More...
Oil Traders Are Now Watching Workers’ Phones to Spot Problems at Refineries
In the $40 trillion global oil-trading market, the smallest clue can be worth millions.
Take the number of people working at a refinery: Outside contractors are brought in for routine maintenance or to handle accidents that could limit demand for crude oil or curb the supply of fuels. While oil companies rarely reveal such sensitive information, traders can gain insight into refinery operations by tracking the number of mobile phones at the plant, a proxy for the arrival of support crews.
It’s the latest example of how traders, rival companies and analysts are turning to new sources of information to get an edge in markets where trading is increasingly driven by algorithms that crunch vast troves of data. By using so-called geolocation information that can originate from mobile apps, data scientists can track human behavior, from shopping habits to hotel occupancy rates.
“For oil traders, knowing where the workers are and how many there are will absolutely help traders know how much output the refinery is producing,” Claire Curry, BloombergNEF’s head of digital industry, said in an email. “Unconventional forms of data -- like where people are in a plant, or the levels of oil in tankers -- will become available not to just large companies who collect the data, but to the cleverest data scientist with the best algorithms.” More...