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Erschienen in:
2018 | OriginalPaper | Buchkapitel
82. Data Retrieval and Parsing of Form 4 from the Edgar System using Multiple CPUs
verfasst von : Raja H. Singh, Nolan Burfield, Frederick Harris Jr.
Erschienen in: Information Technology - New Generations
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Abstract
In this paper we present a parallel system that retrieves and parses Form 4 documents from the Securities and Exchange Commission’s Electronic Data Gathering, Analysis and Retrieval database (EDGAR). This information is very important for investors looking at insider trading information to make investment decisions. However, the information’s usefulness is inversely related to the time it takes to retrieve and analyze the information. A sequential system is slow due to the latency associated with the retrieval and parsing of the Form 4s, which on average exceeds 1000 per day. By making the retrieval and parsing of Form 4s parallel we were able to attain the max speed up of 20x, resulting in parsing of a daily index with 1000 forms in under 30 minutes instead of 9 hours it takes utilizing a single processor.