I have talked about algorithmic trading using twitter before but in the context of who the larger players in this field were.
What if you wanted to try it on your own?
Here is a poor man's algorithmic trading with twitter data site. Put in a keyword, and you get one page of twitter search hits. At least that will give you an idea of what people think.
Or use www.topsy.com.
-------------------
[Edit:] Topsy has a great developers page that has app and its own api page
Check out the http://countingtweets.com site which "show the number of times that links on a site have been twittered"
-------------------
Computer API approach
But a more systematic approach would be to use an existing api. The twitter data stream does not give 100% full access. It only provides 1% of the real-time stream data, but that's probably enough for a cross-section survey.
I'm sure there are more but here are the first three I found.
- the original twitter api feed written in several languages, here is a library of open source code
- the klout api syndicated twitter feed - Klout http://klout.com is a company which generates reputation scores for individuals & business.
- the gnip syndicated twitter feed - With gnip.com you can incorporate facebook, myspace, vimoe, flicker, google buzz, delicious and more.
Here is a twitter development page.
There is a twitter fan page which will tell you everything you ever wanted to know about twitter.
No comments:
Post a Comment