InfoTrie FinSentS Goes Live!
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InfoTrie FinSentS Goes Live!
We are happy to announce that InfoTrie's FinSentS Sentiment Analysis and News Analytics Web Dahboard is finally live.
Stop spending hours reading boring financial news! When you trade or invest, track instead our sentiment indicators that summarize all necessary information from financial and business news, blogs or Twitter. FinSentS scans ~3,000 sources for ~40,000 companies, as well as major currencies, commodities and even crypto currencies like bitcoin.
Those familiar with technical analysis can use our proprietaty Sentiment indicators to track over-optimism and over-pessimism areas. You will be surprised to see how well our signals correlate with asset prices and how they can help you identify tradable divergences!
Check our portal on FinSentS.com
What Is FinSentS ?
There is simply too much information on the web or on private sources for to process and digest manually! FinSentS stands for Financial News and Sentiment Screener. Its cutting edge statistical and semantic engine scans unstructured content to capture in real-time the sentiment from News, Blog and Social Media.
FinSentS transforms text, voice or video into numbers! Its sentiment scores can be integrated into trading strategies/algorithms, risk and compliance systems, or simply analysed to figure out quickly the mood of any market or asset regardless of prices movements.
It monitors in real-time the velocity at which news or rumors spread, and allow you to take speedy actions to make new investments or to protect existing ones.
How Does It Work?
FinSentS News Analytics engine covers standard major global equities, FX, commodities... it can be extended to any topic or asset class.
▪ It indexes extensively the web or any private source in a way similar to what a search engine does.
▪ Standard or bespoke sentiment algorithms read and analyse unstructured content automatically.
▪ The sentiment data is then correlated to asset prices to ensure consistency.
▪ Users are able to slice and dice through news content, to assess sentiment within a few seconds, and to feed downstream applications.