Hi,
I am new to Data Mining and have begun using SQL Server 2005 Analytics.
I want to identify a sudden increase/decrease [high volatility] in stock prices. My DB Table consists of Attributes:
1) Stock Price at end of trading day
2) Date [Data is collected for each stock once every trading day]
3) Daily forward return for stock = (Today's Price - Yesterday's Price)/Today's price
4) Name of the Stock for which above three values were collected [ie, Ticker Name]
I am not able to understand which Mining model will help me get a list of high volatility days in stock prices for each stock. [All I need is Name of Ticker and Date of High Volatility]
Any advice?
Thank you,
Tarun Makhija
I believe this question was answered in the newsgroups, reposting the answer here:
"I recommend constructing a bunch of variables such as - large burst 1 day ago You can then predict FWR from these inputs using a nerual net. David "
- number of medium bursts 1-2 weeks ago
etc.
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