A dynamic storage method for stock transaction data

Publication Type:
Conference Proceeding
Citation:
Proceedings of the 2nd IASTED International Conference on Computational Intelligence, CI 2006, 2006, pp. 338 - 342
Issue Date:
2006-12-01
Metrics:
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Stock transaction data have become very detailed and enormous with the introduction of electronic trading systems. This makes it a problem to store and to access the data in later analyses such as mining useful patterns and backtesting trading strategies. This paper investigates several storage methods in terms of both storage space and access efficiency and then proposes a new dynamic storage method which provides a flexible mechanism to balance between storage space and access efficiency for storing huge intraday transaction data.
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