Mktsentiment‘s mission is to sift through the vast social media to extract information useful to you, and convert that information into actionable data to support decision making, be it for stock trading, brand management, sales and marketing, political campaign, and so on.
MktSentiment.com is one realization of that mission as applied to the stock market. MktSentiment.com uses intelligent algorithms to analyze real-time market sentiment in social media (Twitter, forums, blogs, analysts opinions, news reports, etc.) and charts the correlation of past sentiments with future stock price movement. The proprietary algorithms and domain specific knowledge base for sentiment understanding and correlation analysis were developed and tested over a two-year period. The Sentiment-Price Correlation (SPC) charts provide a useful and unique tool to analyze stock trends and spot trading opportunities. 0
In the coming months, more advanced features will be introduced, but they are accessible only to subscribing users, including,
* Advanced filtering to identify trading opportunities, e.g., filtering for significant sentiment-price divergence, opportunities for contrarian moves, etc.
* More advanced correlation analysis, a range of correlation charts to choose from for detecting different correlation properties specific to each stock, and historical correlation data going back longer than 30 days. (The SPC shown on the home page is only one type of correlation analysis. Advanced correlation analysis will be accessible to subscription users.) 0
* Tracking stocks and alerting when filtering conditions are triggered, and more
The advanced features of the service is only offered to an exclusive group of serious investors. You may visit their Sign Up page to reserve an account.
The Real-time Sentiment Analytics technology is not limited to what’s demonstrated on the Mktsentiment.com website. Customized solutions can be developed for other applications, including:
* Sentiments in social media and customer support forums/systems towards your company or products, morale in company internal communications, etc., and how they correlate to your sales or any other business performance measures you use;
* Sentiments towards political candidates or parties, or hot social topics, and use correlation analysis to predict polling or voting results.