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.
The Co-Founders began discussing a potential framework to capture, understand, and correlate, available public data to help understand how different types of internet media were being used to disseminate stock market information. The primary goal was to understand who was accurately forecasting stock price direction, potentially influencing stock price, and then build a predictive model to one day predict stock price direction.
Pushing forward, the Co-Founders began to find signals in social media. Although weak at first, this advent proved cause to continue research. 2011 proved to be a turning point in what would later become the defined existence of Social Media Stock Sentiment as millions of users began flocking to both the internet and social media as a primary method of open communication transmitting both thoughts and collaboration every minute.
The Co-Founders continued building and experimenting with advanced algorithms to acquire, identify, classify, and correlate using NLP/TXT Mining/ Learning Process Technology. They were finding relevant data and stock sentiment embedded information amongst millions of chatter messages from people chatting about stocks.
We launched our first platform, Ver1.0 HedgeChatter BETA, which was the first Social Media Stock Screener.
After incorporating feedback from customers we set our sights on building Ver2.0.
Financial firms began to take notice that Social Media has an impact on everything, including finance. We continued building and launched our Ver2.0, The World's Most Advanced Social Media Stock Sentiment Analysis dashboard!
Entrepreneur names HedgeChatter as one of 100Most Brilliant Companies of 2014.
Major financial institutions began adopting Social Media Financial Sentiment Analytics into their trades.
Self Directed Investors continue adopting social signals into their trades.
HedgeChatter became recognized as a leader in the Social Media Stock Sentiment space.
HedgeChatter Invited to open the London Stock Exchange
Risk Mitigation using Social Signals has been established.
Self Directed Investors, using social signals, continues major growth.
Financial industry as a whole reaches tipping point for accepting the power of social signals for finance.
HedgeChatter continues generating Alpha by surfacing social signals into trading signals.
HedgeChatter cements its place in history by being the first tech company invited to open the London Stock two times.
By utilizing HedgeChatter data, customers are generating 15-30% above the S&P 500 Index.
Hedgechatter has proven it's signals to be both a significant short term and mid-term alpha signals for long and short strategies.
Building on the success of HedgeChatter's predictive analytics for the stock market, we venture into the cryptocurrency space.