Social Sentiment Analysis

Social Sentiment

We analyze WEB 3.0 Data by Natural Language Tools and different Machine Learning Algorithms to decide which Stocks and Derivatives to Buy or Sell.

We will find your needle in the hay

The rise of social media such as blogs and social networks has fueled interest in sentiment analysis. With the proliferation of reviews, ratings, recommendations and other forms of online expression, online opinion has turned into a kind of virtual currency for businesses looking to market their products, identify new opportunities and manage their reputations. As businesses look to automate the process of filtering out the noise, understanding the conversations, identifying the relevant content and actioning it appropriately, many are now looking to the field of sentiment analysis. Further complicating the matter, is the rise of anonymous social media platforms such as 4chan and Reddit. If web 2.0 was all about democratizing publishing, then the next stage of the web may well be based on democratizing data mining of all the content that is getting published.

So just stop reading news feeds. We will be faster by analyzing different sources like Facebook, LinkedIn, Twitter,.... Text Sentiment Analysis is one of the major drivers of public company values. Depending on the kind of investor you are, you may find value in the sentiment analysis in a few ways.

Investors can use our sentiment analysis to evaluate how much of a company's current situation is the result of sentiment, and how much is based on cold hard facts about the business itself. This may be of use to find companies that are cheap mainly due to very poor sentiment, or to exit companies that are becoming inflated due to sentiment.

Active traders may find it useful to track the sentiment if they tend to trade large numbers of companies. Sentiment is often most indicative of price in the short term. Keeping up with all of the news for all of the companies is very hard. Let sentiment analysis do it for you.

Who We Are ?

Our team combines quantitaitve financial knowledge with a deep understanding of algorithms while understanding our customer business.

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Christopher Helm

Data Specialist: I love science and data from the web. So after studying at the University of Mannheim, Zeppelin University, BI in Oslo, TUM and University of Augburg I started several data driven projects.

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Florian Zyprian

Algo Specialist: I had finished my Bc.S. (Information Systems) and came to study FIM. That's when I heard the term "Deep Learning". I eventually landed here and currently have a great time with really smart people.

  • Consumer
  • €99
  • 30 Stocks
  • 1 Mail Update per Day
  • 250 Days of History
  • Free Support
  • API Access
  • €199
  • 500 Stocks
  • 1 Update per Day
  • 250 Days of History
  • Free Support
  • API Access
  • €899
  • 100.000 Stocks
  • unlimited Updates per Day
  • 1.000 Days of History
  • Free Support
  • API Access
  • Custom
  • €12.000
  • 100.000 Stocks
  • unlimited Updates per Day
  • 1.000 Days of History
  • Free Support
  • API Access

See Our Services

In contrast to many competitors we only apply algorithms as soon they had been validated by several scientific studies.

Robust Newsfeeds

Our first important measure are our data sources. We do not focus on one specific news feed. As we know from past events news feeds might stop occasionally or may become costly. To deliver high quality data we can access data sources with different qualities based on what you are willing to pay.

Upload own data

We enable you to analyze your customer data by using our hardware and software for free within a custom contract.

Plug and Play

We are able to deliver our news by different feeds. As soon as you upgrade to BUSINESS we will be able to offer you different delivery services. For example we can easily serve our data via a simple plug&play Excel Add-In

Code Competence

To ensure clean and secure code we will not hand out coding to other companies. Instead of outsourcing we develop our own skill and rather pay for trainings instead of handing out knowledge.

  • Free Trial
  • Short Term Sentiment:
  • Mid Term Sentiment:
  • Long Term Sentiment:
  • Sentiment figures are calculated based on different data sources. A sentiment of 100 points describes a situation in which all traders are bullish and vice versa with -100 sentiment points.
  • Load Sentiment

Queries ? Ask Us Now.

If you need extended features or customized solutions don't hesitate to contact us.

Our Contact Details

Address: Asslar
Phone: +49-163-431-4960
E-Mail: c.helm@tum.de
Risk Statement

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