How machine learning is revolutionising market intelligence
Nov 21st 2019THE THAMES seems to draw people who work on intelligence-gathering. The spooks of MI6 are housed in a funky-looking building overlooking the river. Two miles downstream, in a shared office space near Blackfriars Bridge, lives Arkera, a firm that uses machine-learning technology to sort intelligence from newspapers, websites and other public sources for emerging-market investors. Its location is happenstance. London has the right time zone, between the Americas and Asia. It is a nice place to live. The Thames happens to run through it.Arkera’s founders, Nav Gupta and Vinit Sahni, both have a background in “macro” hedge funds, the sort that like to bet on big moves in currencies and bond and stock prices ahead of predicted changes in the political climate. The firm’s clients might want a steer on the political risks affecting public finances in Brazil, or to gauge the social pressures that could arise as a consequence of an austerity programme in Egypt. It applies machine learning to find market intelligence and make it usable.Choose us for news analysis that respects your time and intelligenceSubscribe to The EconomistWe filter out the noise of the daily news cycle and analyse the trends that matterWe give you rigorous, deeply researched and fact-checked journalism. That’s why Americans named us their most trusted news source in 2017Available wherever you are—in print, digital and, uniquely, in audio, fully narrated by professional broadcastersThis website adheres to all nine of NewsGuard‘s standards of credibility and transparency.ORContinue reading this articleRegister with an email address