There’s been a great deal of chatter in the business community about Twitter. To me, most of it appears to be excited businessmen smelling a hot commodity, but still struggling to understand what makes Twitter so popular. Here is an article where a businessman shares his insights by creating a parallel between Twitter/Facebook and the Id/Ego. Just the fact that he’s trying to force Twitter into an existing and familiar framework not only seems forced, but it’s a reflection of about 90% of the business thinking surrounding new ideas like Twitter. Too often there's a disconnect between a hot technology idea like Twitter, and the people with money to spend on these ideas. There is an inclination to squeeze these ideas into an old-fashioned business model, until profits oozes out.
This is a good summary article of how most business people view twitter. They outline 10 ways that Twitter will change business. I’m going to save you some time by telling you that there’s only about five unique ideas in this piece, the rest is just filler to make the list 10. The core of these ideas fall into one of two business advantages:
- Corporations can gather personal data about people;
- If people follow corporations, the companies have a direct channel to their consumer through tweets.
But when I read the article, I had an out-of-body experience that the year was 1993 and I was reading this exact same article, except it wasn't about Twitter, it was about a new thing called E-mail and the Internet:
- “In utilizing the Internet, we are able to collect personal data from consumers about their preferences!”
- “By collecting hotmail addresses we can use electronic mail to harass the customers about promotions and sales at pennies of the cost as regular mail!”
It’s really all the same stuff. There are definitely some good uses outlined in the article, but there’s no game-changer. Twitter, in-and-of-itself, is a minor connectivity improvement.
Then there’s Howard Lindzon, who has leveraged Twitter to create something called Stock Twits. Essentially, it’s designed to be twitter specifically for day-traders. Follow truth and rumours from the investor gurus in real time! I suppose this is an important step for day-traders, Twitter can help unify hundreds of different investment chat rooms into a single massive investment community. But I'm just not feelin' it.
But then I read this. It blew me away. The idea is that StreamBase Systems wants to collect and interpret tweets to determine if there is a particular sentiment towards a stock or the stock market in general. The challenge for them is to interpret all the tweets and organize that data into forming a collective sentiment.
The article goes as far as citing an old day-trading secret, which serves as a convenient example of how the power of this tool would manifest. Recall last week we discussed how markets are efficient, and that any news about a particular stock, or the general economy as a whole, is quickly incorporated into stock prices as soon as the news is made public. There is an old trick that day-traders use (which might have a slick short name that I am unaware of) called, “Buy on rumour, sell on news.”
For example, let's assume RIM is going to announce its 2nd quarter earnings on July 15th. Now, as day-traders we believe that RIM has a positive sentiment associated with it (by that I mean RIM is a good company, it gives investors a positive feeling because it often exceeds expectations). Because we believe this, we can potentially ride this sentiment to profitability. How? The way we can profit from this is to buy the stock early, and sell the stock right before the news about their earnings is made public, so in this case we would sell it July 14th. At the end of the day, we just have to guess which way the herd is leaning to make money. It doesn't actually matter if RIM has exceeds its estimated profits on July 15th - we're not actually betting on the stock; we're betting on the market's collective perception of the stock.
With StreamBase Systems data, we can potentially tap into a more accurate depiction of that sentiment. We can decide based on their data if the market is relatively positive on RIM, and make an educated guess about whether the price will creep up on anticipation of the Q2 earnings report. Investors will pay StreamBase for this privileged information, because in theory, it provides an information advantage on the market.
There are some potential loopholes here. If the service is truly good at depicting market sentiment about a stock, most or all day-traders will rely on it (heck - institutional investors will be all over this too). If most day-traders rely on the same source, it means they'll receive the same data at the same time, and will transact as a herd which eliminates their profit margin on the buys and sells. The other problem is information being leaked. Currently, I don’t have to read the Wall Street Journal to know what WSJ is writing about because bloggers and tweeters are writing about it for free – I just have to follow the right people and I can get my information for free.
But whether or not one can profit from this service is not why I found the article powerful in the first place. What fascinates me is the potential to interpret tweets and form a general sentiment. The idea of a collective consciousness was always said to be possible with the internet, but will Twitter be the application to make it a reality?
Then there’s Howard Lindzon, who has leveraged Twitter to create something called Stock Twits. Essentially, it’s designed to be twitter specifically for day-traders. Follow truth and rumours from the investor gurus in real time! I suppose this is an important step for day-traders, Twitter can help unify hundreds of different investment chat rooms into a single massive investment community. But I'm just not feelin' it.
But then I read this. It blew me away. The idea is that StreamBase Systems wants to collect and interpret tweets to determine if there is a particular sentiment towards a stock or the stock market in general. The challenge for them is to interpret all the tweets and organize that data into forming a collective sentiment.
The article goes as far as citing an old day-trading secret, which serves as a convenient example of how the power of this tool would manifest. Recall last week we discussed how markets are efficient, and that any news about a particular stock, or the general economy as a whole, is quickly incorporated into stock prices as soon as the news is made public. There is an old trick that day-traders use (which might have a slick short name that I am unaware of) called, “Buy on rumour, sell on news.”
For example, let's assume RIM is going to announce its 2nd quarter earnings on July 15th. Now, as day-traders we believe that RIM has a positive sentiment associated with it (by that I mean RIM is a good company, it gives investors a positive feeling because it often exceeds expectations). Because we believe this, we can potentially ride this sentiment to profitability. How? The way we can profit from this is to buy the stock early, and sell the stock right before the news about their earnings is made public, so in this case we would sell it July 14th. At the end of the day, we just have to guess which way the herd is leaning to make money. It doesn't actually matter if RIM has exceeds its estimated profits on July 15th - we're not actually betting on the stock; we're betting on the market's collective perception of the stock.
With StreamBase Systems data, we can potentially tap into a more accurate depiction of that sentiment. We can decide based on their data if the market is relatively positive on RIM, and make an educated guess about whether the price will creep up on anticipation of the Q2 earnings report. Investors will pay StreamBase for this privileged information, because in theory, it provides an information advantage on the market.
There are some potential loopholes here. If the service is truly good at depicting market sentiment about a stock, most or all day-traders will rely on it (heck - institutional investors will be all over this too). If most day-traders rely on the same source, it means they'll receive the same data at the same time, and will transact as a herd which eliminates their profit margin on the buys and sells. The other problem is information being leaked. Currently, I don’t have to read the Wall Street Journal to know what WSJ is writing about because bloggers and tweeters are writing about it for free – I just have to follow the right people and I can get my information for free.
But whether or not one can profit from this service is not why I found the article powerful in the first place. What fascinates me is the potential to interpret tweets and form a general sentiment. The idea of a collective consciousness was always said to be possible with the internet, but will Twitter be the application to make it a reality?