With the hiring of data scientists, advances in cloud computing, and access to open source frameworks for training machine learning models, AI is transforming the trading desk. Already the largest banks have rolled out self-learning algorithms for equities trading.
Despite some of the weaknesses in company-published ESG data, big data and artificial intelligence have enabled the construction of new data sets for analyzing investments.
In the future, analysts will consult artificial intelligence software to crunch big data, find historical precedents, and run statistics to predict what lies ahead, all within a few minutes.
Asset managers are looking for ways to mine alternative data sets for investment ideas, recognizing that stock pickers cannot rely on traditional research.
Among the key benefits of artificial intelligence is that it can analyze large volumes of structured and unstructured data more quickly than humans do, which can boost productivity. FlexTrade’s Ivy Schmerken examines.
The explosion of alternative data sources, such as satellite images, sentiment analysis, and geolocation data, is having a profound impact on the field of quantitative investing. FlexTrade’s Ivy Schmerken investigates.
FlexTrade is pleased to announce its nomination for ‘Best Trading and Execution Technology’ in the HFM US Hedge Fund Technology Awards 2018.