About Us

HedgeChatter is a social media sentiment dashboard for stock & crypto markets. It’s a web-based SaaS platform that analyzes social conversations of over 8,000 US Equities, Indexes and Cryptocurrencies.

The platform uses data science technologies including artificial intelligence, NLP (natural language processing), and machine learning to process the vast amount of social data and draw insights from it. HedgeChatter is similar to big data aggregators but with more advanced analysis tools and less noise from individual messages.

Social Sentiment Analysis For Trading

Sentiment Analysis is tightly related to Technical Analysis which is used for momentum trading.

Prior to the advent of ‘big-data’, Technical Analysis (which gauges the irrational behavior of markets through behavioral financial theory) was only used to trade without knowing the cause of the price movement.

With Sentiment Analysis, we now know how to differentiate financial sentiment news from non-financial news and trade on the same. This is a significant value to technical traders as they peg their trade to stock movements (triggered by sentiments). This data provides a predictive edge to identify stock, crypto and market moves before they move.

Key Features:

When one thinks of using social sentiment like Twitter tweets to glean insights into stock market movements, the thought that this type of analysis is easily manipulated inevitably soon follows. It seems easy for any sophisticated programmer to create massive amounts of social profiles to boost bullish or bearish social sentiment for a particular stock or derivative. This is where HedgeChatter’s Reputation Index comes in. HedgeChatter CEO James Ross told the Summer Trading Network that they “use a reputation index that shows how often people have been right or wrong in the past, and we use that information to create our signals and alerts. It’s not just an information play”
One of the main features on the HedgeChatter Dashboard as found in the HedgeChatter review is the Stocks Trending feature. Instead of tracking stocks that are trending in price, it tracks stocks that are trending in the way of social media sentiment. There are two time frames in the Stocks Trending feature, last 24 hours, and real-time.

Our History