| 摘要 |
<p>The present invention relates to a method of identifying patterns in stock market data, the method comprising the steps of converting the stock market data for a given time period into a character representation of the stock market data; generating a string of character representations of the stock market data for a plurality of given time periods; and searching the string of character representations for a given sequence of character representations, the sequence representing a known pattern. The method provides for efficient identification of patterns in stock market date, in particular micro-petterns.</p> |
