Social Media and the Stock Market
Most articles about Social Media and The Stock Market have talked about the upcoming Facebook IPO or wrote about the Groupon IPO. Some have been trying to give their own take on who will be the next Facebook and who will secure the next great IPO. Our story will take another twist as we will try to explore the use of social media as a tool to analyze the stock market.
There are over 200,000,000 tweets a day. Where do they go? Is there a way to organize all social media chatter and use it to help investors find investment ideas? What can we learn from all this social media chatter about a specific companies? By now, everyone knows that the news about the killing of Osama Bin Ladin was tweeted on Twitter way before it was officially carried over any news wire. There seems to be an amazing opportunity to capture this social media chatter, filter it for pertinent information, and format the data to glean new insights into companies and investments.
On twitter alone there are 250 million active users. Combining Facebook, Dig, Tumblr and other social media venues there are between 600-700 million very active users micro blogging posting over all these social media sites continuously. This new trend can be viewed as a new form of broadcasting. As a matter of fact, just last week, Comedian Steve Carell joined Twitter, amassing more than 75,000 followers in just a few hours.
Blog postings, forum messages, online surveys and tweets are so easy and quick to collate and analyze in comparison to roadside polls and telephone canvassing. Couple this to the fact that this mode of communication spreads to many listeners and that this delivery is becoming more influential than conventional channels, you then realize social media is definitely something that needs to be taken seriously.
Now think of it this way, one can amass all this social media data, filter all tweets, and categorize it correctly to be able to zero in on the underlying information gathered from social media. That would allow you to retrieve a gold mine of information about many companies. Let’s say you add a little depth to keyword search, not just doing a simple keyword search like Google, but actually crunching this data to analyze, track a signal and obtain the feeling behind the tweet. Suddenly this gigantic sea of noise can be transformed in to orderly information. You can verify if people feel good about a new product or a service a company initiated or not.
Let’s take the new Ipad for example. Following all the tweets and all the social media chatter about the Ipad one should be able to analyze if people are happy or not with the product. Maybe an unknown glitch was uncovered in the system and people start tweeting about it. Let’s say a certain drug has a negative side affect that has not been publicly addressed and someone starts blogging about it. Before long there are people following this story and commenting all over the web. That information would be invaluable to both the drug company and its investors.
This is really only a more sophisticated way of measuring sentiment similar to the Consumer Sentiment Survey, a monthly survey currently taken by the University of Michigan. The survey assesses consumer attitudes on the business climate, personal finance, and spending and forecasts changes in the national economy. It also gauges probable future spending behavior and level of optimism/pessimism. In a nutshell it gleans the sentiment of people to interpret future behavior. All these tweets can be a used in a similar manner to establish if something negative or positive is developing.
There are a few companies that are doing just that, using technology that can pick up track and analyze all the social media data. They are able to translate it for an investor and tell him if people are posting positive or negative tweets, or other broadcasts on companies allowing the investor to use this information and decide how he wants to play the stock. Below is a list of some of the companies that do this type of social media analysis and offer this data.
http://www.wallstreetbirds.com/


