How AI Can Accelerate Analytics in Financial Markets
In the bustling world of financial services, with continuous market fluctuations, numbers are king.
One investment firm aims to harness the onslaught of qualitative information out there, using AI to wrangle to its advantage a surprising challenger to the field: words.
Toronto-based Triumph Asset Management (recently reorganized as Amadeus Investment Partners) is exploring this area using deep learning. They’re analyzing tens of thousands of news articles each day with the goal of better predicting market directions and making trading decisions.
Old School Style
For many years, groups of human analysts combed through relevant news articles, determined the sentiment towards a specific company, and communicated with traders to react in the market.
The process is time consuming and yields many missed opportunities since only a limited scope of articles can be analyzed, Triumph data scientist Andrew Tan said.
To adapt to a rising need for greater data, the firm turned to AI.
Read the entire article here, How AI Can Accelerate Analytics in Financial Markets
via the fine folks at NVIDIA.