Why FinSentS?

Stocks and Forex Sentiment Analysis helps you digesting the tremendous amount of data  produced in Financial Markets. In the age of the internet, it is physically impossible for an investor, a trader, an analyst to keep track of the information produced by the industry: analyst reports, financials statements, press releases, social media, in multiple languages etc…

Artificial Intelligence can help. InfoTrie combines decades of expertise in the financial sector and Data Science. With FinSentS,  our Financial News and Sentiment Screener, we have built a cutting-edge technology platform to extract and analyze in real-time humongous flows of information. Our proprietary financial Natural Language Processing (NLP) engine offers actionable tools and indicators to better seize investment opportunities and predict market trends.

Livesquawk on FinSentS


Financial markets have become ever more closely correlated and are driven as much by news, as fundamentals. LiveSquawk analysts ensure customers know what headlines or events are moving particular markets. In partnership with Finsents, analysis is now more comprehensive than ever. Coverage spans all the main asset classes offering an expansive view of global markets. Get full access to LiveSquawk within FinSentS now!

Stocks, Forex Sentiment Analysis with FinSentS

FinSentS indexes in real-time, in a way similar to what Google or Bing do millions of sources: websites, blogs, analyst reports, business news publications and processes premium and private data. It’s machine/deep learning framework assesses in real time the relevance of each topic/company data, filters out noise to push meaningful content to users. Then, it computes and displays sentiment scores and other metrics (e.g. volume, buzz)  intuitively.

Disparate information is indexed and brought together into a unified dashboard, or made available through low latency push APIs to enrich people’s or system’s understanding of financial big data. Real-time smart alerts combined with multiple indicators speed-up research and allow better investment decisions.

How FinSentS Works?

Our engine FinSentS, short for financial sentiment screener analyzes financial news, stock news, professional blogs, social medias like Twitter for over 50 thousand global stocks, FX, commodities globally in real time. Our algorithms automatically generate stock analysis data, sentiment indicators, sentiment scores, buzz scores, trending keywords, all of which could be useful signals in financial analysis and prediction.

FinSentS’s core technology is a hybrid engine with highly sophisticated linguistic algorithms (Natural Language Processing), combined with Machine Learning and Deep Learning which underpins FinSentS whole architecture.

FinSentS can easily and quickly to give you best-in-class text and sentiment analytics, such as trading sentiment, reputation sentiment, stock sentiment and so on. Instead of searching message one by one, monitoring our Sentiment score can make users take action on early market moving information, to gather information from various sources and conduct deeper research from a high perspective and super excellent timeliness that only FinSentS and our unique data set can provide. FinSentS provides data visualization of deep insights into sentiment through a dashboard delivered through a browser or mobile device.

These are the three core components of our IP and technology. Our platform can source multi-lingual content, either information on the web or from the private source. We make use of machine learning, predictive analytics to do sentiment analysis for stocks, fx, equities, commodities, people/ topics. We have good research capabilities to keep up with latest techs. (Recently we are going to apply deep learning to news classification and sentiment analysis.) The information we generate is visualized in a well-organized dashboard, which can be easily utilized and accessible from desktop and mobile.

FinSentS | Stock, Forex, Commodities Sentiment Analysis

1. Real-time data sourcing

FinSentS connects to millions of sources in real-time: websites, blogs, social media, private data and premium data such as Bloomberg, Reuters or Dow Jones. It can monitor 50,000 + stocks, topics, people, commodities and other assets.

Stocks, Forex, Commodities Sentiment Analysis

2. Run algorithm on the data

FinSentS can analyze large and complex structured and unstructured datasets efficiently through filtering, topic classification, sentiment calculation, entity detection, stock mapping and sentiment aggregation by using latest big data tools, such as Kafka, Storm, Spark, Redis and so on.

Financial News - FinSentS

3. Visual results

FinSentS offers the visualization of abstract data through intuitive graphs and infographics, limiting the need for end users to read.

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How is Stocks and Forex Sentiment Analysis in FinSentS Unique?

– Extensive Coverage

Like Google, FinSentS engine has the possibility to massively acquire data from the web, but it is also designed to processing private or premium data. A global coverage of 50,000s assets, topics, companies, and people are tracked in multiple languages in real time, with up to 15 years of history.

If you need to know what people are really thinking about a company or stock or index, FinSentS’s technology can help you quickly determine the real sentiment behind what people are saying. No linguistic or technical expertise is necessary to understand every message. FinSentS helps you to understand others’ real mind effortlessly.

The FinSentS News Sentiment database offers daily media sentiment indicators for:
– 50,000+ stocks

The FinSentS News Sentiment database currently covers these stocks:

  • 15,000 North American stocks
  •  8,000 European stocks
  • 4,000 Japanese stocks
  • 14,000 Asian stocks excluding Japan
  • 3,000 Australia / New Zealand stocks
  •  1,000 South American stocks

– Major global stock indices
– FX
– Commodities

Stocks and Forex Sentiment Analysis Indicators:

Each asset has 5 indicators:

– Sentiment Score: a numeric measure of the bullishness /bearishness of news coverage of the stock.
– Sentiment High / Low: highest and lowest intraday sentiment scores.
– News Volume: the absolute number of news articles covering the stock.
– News Buzz: a numeric measure of the change in coverage volume for the stock.

– Real-time, Low-latency and Fault Tolerant

InfoTrie’s superior engine can capture, analyze, and put the large volume and wide variety of real-time sources to use at very high speeds. This feature provides the guarantee for true low-latency service. The system is also fully fault-tolerant.

So, as a result, FinSentS helps keep an eye on what you concern, alerting customers to real-time leads for them to make invest further.  Customers don’t have to watch every trivial information – the most actionable sentiment score finds them directly and quickly.

– Open, Flexible and Scalable

InfoTrie enforces a flexible, secure, and highly scalable infrastructure. The system is both ready to use, with an extensive set of pre-canned analysis and fully customizable. Advanced users can build and extend features, implement trading algorithms, connect to their in-house system and truly leverage our APIs and data.

By using FinSentS, you can get an information edge and save hours every day:

  • Find and get alerted to critical information buried in filings, news, research and your private sources
  • Identify key data points, trends, and themes on global companies
  • Never miss any important information but may have been somewhat dangerously overlooked