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| Presentation | 2019-11-30 15:40 Studies on Stock Price Trend Prediction Using Candlestick Chart Patterns Yoshihisa Udagawa (Tokyo University of Information Sciences)  SWIM2019-23 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Candlestick charting is one of the most popular techniques used to predict short-term stock price trends. Despite of the popularity, there is still no consistent conclusion for the predictability of the technique mainly due to qualitative description of candlestick patterns. This paper proposes a retrieval model with six parameters that allows us to define both candlestick patterns and price zones. Because criteria that trigger exit from a market largely affect profits and losses, we propose three market exit criteria. Simulations to estimate profits are performed using five global markets with approximately the same parameters for the retrieval model and the market exit criteria. The results of simulations indicate that the proposed method leads to trades with around 85% of successful stock transactions in the case of a typical uptrend candlestick pattern. Five global markets are also analyzed and compared to show the profitability of the markets based on simulated profits. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Stock price prediction / Technical analysis / Candlestick charts / Market exit criteria / Profit simulation / Global market comparison / / | |
| Reference Info. | IEICE Tech. Rep., vol. 119, no. 319, SWIM2019-23, pp. 21-28, Nov. 2019. | |
| Paper # | SWIM2019-23 | |
| Date of Issue | 2019-11-23 (SWIM) | |
| ISSN | Online edition: ISSN 2432-6380 | |
| Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) | |
| Download PDF | SWIM2019-23 |
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| Conference Information | |
| Committee | SWIM |
| Conference Date | 2019-11-30 - 2019-11-30 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | TUS Kagurazaka Campus Fujimi Bldg. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Management and Internet Technology, general |
| Paper Information | |
| Registration To | SWIM |
| Conference Code | 2019-11-SWIM |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Studies on Stock Price Trend Prediction Using Candlestick Chart Patterns |
| Sub Title (in English) | * |
| Keyword(1) | Stock price prediction |
| Keyword(2) | Technical analysis |
| Keyword(3) | Candlestick charts |
| Keyword(4) | Market exit criteria |
| Keyword(5) | Profit simulation |
| Keyword(6) | Global market comparison |
| Keyword(7) | |
| Keyword(8) | |
| 1st Author's Name | Yoshihisa Udagawa |
| 1st Author's Affiliation | Tokyo University of Information Sciences (Tokyo University of Information Sciences) |
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| Speaker | Author-1 |
| Date Time | 2019-11-30 15:40:00 |
| Presentation Time | 55 minutes |
| Registration for | SWIM |
| Paper # | SWIM2019-23 |
| Volume (vol) | vol.119 |
| Number (no) | no.319 |
| Page | pp.21-28 |
| #Pages | 8 |
| Date of Issue | 2019-11-23 (SWIM) |
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