Presentation | 2010-11-19 A Heuristic Search Scheme for Trading Systems using Cloud Computing Shinya EJIMA, Takahiro KOITA, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, system trading which is systematic investment technique to determine selling and buying timing is getting popular. To use the system trading effectively, its trading rule is quite important because the trading rule is an algorithm to determine the timing using market parameters. Investors are trying to find a good trading rule that can be a good indicator to trade stocks. However, finding a good trading rule is difficult, because there are huge amounts of trading rules and huge computation is needed to testify them. In this study, we consider the computation system to find a good trading rule using cloud computing. The design of MapReduce is also discussed to implement it as actual system. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | System Trading / Cloud Computing / Hadoop |
Paper # | MoMuC2010-51 |
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Committee | MoMuC |
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Conference Date | 2010/11/11(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Mobile Multimedia Communications(MoMuC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Heuristic Search Scheme for Trading Systems using Cloud Computing |
Sub Title (in English) | |
Keyword(1) | System Trading |
Keyword(2) | Cloud Computing |
Keyword(3) | Hadoop |
1st Author's Name | Shinya EJIMA |
1st Author's Affiliation | Doshisha University Graduate School of Science and Engineering() |
2nd Author's Name | Takahiro KOITA |
2nd Author's Affiliation | Doshisha University Graduate School of Science and Engineering |
Date | 2010-11-19 |
Paper # | MoMuC2010-51 |
Volume (vol) | vol.110 |
Number (no) | 290 |
Page | pp.pp.- |
#Pages | 5 |
Date of Issue |