Advanced Logic Analytics (ALA) has introduced ALASA, a market sentiment tool designed to help investment banks and trading firms make sense of human and market signals from financial data published online.
The solution uses proprietary algorithms, machine learning and natural language processing to gather financial information published online from any number of professional and crowd-based sources. The data is then combined with AI driven sentiment analysis and data mining algorithms to forecast future market direction on over 150,000 instruments including stocks, FX, indices and commodities. A positive or negative sentiment weighting is applied to provide an accurate sentiment-based feed that allows users to track market news, social media and mood data from a variety of inputs.
Nick Ellis, managing director at Advanced Logic Analytics, comments: “ALASA is a powerful tool that supports traders in being more profitable by tuning into the sentiment of the entire market. Our beta testing results have delivered empirical evidence that ALASA provides early indication of unprecedented events before they impact the markets.”
The company is in early discussions with investment firms interested in using the solution, which is available as a desktop tool or via an application programming interface (API).
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