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Market Prophit’s Big Data Analytics Help Investors Generate Alpha Through Better Sentiment Analysis

Market_Prophit_hi_res_FS2014

This post is part of our live coverage of FinovateSpring 2014.

Market Prophit is our next presenter. The company is showing its “Morningstar + Klout” solution for both retail and institutional investors and traders looking to improve the way they use sentiment analysis in their overall investing decisions.

“Market Prophit is demoing its full functionality with its recently launched proprietary quantitative blogger ranking system. Market Prophit quantitatively scores and ranks financial bloggers in social media based on the accuracy of their stock calls and track record of predictions. Using our unique ranking system, Market Prophit generates sentiment signals that have less noise than generic, crowd-based sentiment signals and generate more alpha based on historical back tests. 
Our innovation is the ability to take unstructured conversations and turn them into quantifiable measures of predictability and performance in real time, allowing for easy search and discovery of quality information by investors without having to wade through millions of messages.”
Presenting: Igor Gonta (CEO & Founder)

Product Launch: June 2013
Metrics: Self-funded; 2 employees
Product distribution strategy: Direct to Consumer (B2C), Direct to Business (B2B), through financial institutions, through other fintech companies and platforms, licensed
HQ: New York, New York
Founded: January 2011
Twitter: @MarketProphit