05.01.2019

Ideal Prediction Adds Natural Language Processing

Ideal Prediction, the independent trading analysis and data science company for capital markets, today announced the addition of Natural Language Processing (NLP) to its automated analytics services.

By incorporating NLP with machine learning, Ideal Prediction’s service empowers clients to create and visualize new analytical graphs in real-time with no coding knowledge and no development queue.

Prior to NLP, all potential cases required programming, offering only a prescriptive set of limited analytics. By adding NLP Ideal Prediction enables clients to visualize and analyze calculations beyond those available in an out-of-the-box user interface (UI). NLP provides a flexible structure, with which clients can define for themselves what they want to visualize, creating a fully self-customisable monitoring service.

“Analyzing data using NLP and machine learning is incredibly difficult to achieve, because of the almost limitless combination of words and analytical outputs, but it is incredibly powerful,” said John Crouch, Founder and CEO of Ideal Prediction. “Clients are really pleased with this new functionality, as they are able to immediately create bespoke analytical visualizations, simply and easily, with no development queue.”

Ideal Prediction announced the launch of Scope in February 2019. The service automatically monitors order and trade activity, evidencing that humans and algorithms adhere to governance and risk controls, specifically in line with the principles of the FX Global Code (FXGC).

Source: Ideal Prediction

Related articles

  1. Regulators Target Cybercrime

    There is no standard approach to identify data that needs to be protected.

  2. Industries leading this year’s D&I Index Top 100 are banking, investment services & insurance.

  3. The new dataset combines traditional measures, such as EPS estimates, with ESG data and investor sentiment.

  4. With Ankit Mittal, Business Change Manager, Global Trading, Schroders

  5. Social data is more difficult to find as this component is growing in importance to end investors.