Title page for etd-0714120-162121


URN etd-0714120-162121 Statistics This thesis had been viewed 179 times. Download 13 times.
Author Pei-shan Chiang
Author's Email Address No Public.
Department Institute of Industrial Management
Year 2019 Semester 2
Degree Master Type of Document Master's Thesis
Language zh-TW.Big5 Chinese Page Count 77
Title The Study of Technical Analysis and Filter Rules on investment Return for Taiwan Stock Weighted Index Futures
Keyword
  • Filter Rules
  • Technical Analysis
  • Taiwan Stock weighted Index Futures
  • Taiwan Stock weighted Index Futures
  • Technical Analysis
  • Filter Rules
  • Abstract The main empirical technical analysis of this study is applied to the performance of investment in Taiwan Stock Weighted Index Futures. The method of technical analysis is based on Candlestick and the Moving Average (MA) as operating principles. In this study, Candlestick is used as the main axis of the operation strategy, and the Moving Average (MA) is as the filtering principle. Considering investment risk costs, nine types of trading strategies and ninety sets of investment combinations are simulated to find the optimal combination of investment strategy by using Microsoft EXCEL. The input of this study has three candlestick charts, One chart is 5389 rows of minute data of the 5 minutes Candlestick chart of Taiwan Stock Weighted Index Futures from August 22, 2019 to December 31, 2019, snd the second chart is 2693 rows of minute data of the 10 minutes Candlestick chart of Taiwan Stock Weighted Index Futures from August 22, 2019 to December 31, 2019 and the final chart is 5390 rows data of the 15 minutes Candlestick chart of Taiwan Stock Weighted Index Futures from November 22, 2018 to December 31, 2019.
    The result shows the total investment return is optimal with the high low scenario of Candlestick 35 and Moving Average (MA) 300 of 15 minutes Candlestick chart. Meanwhile the investment risk is acceptable.
    Advisor Committee
  • Cheng-Yi Lin - advisor
  • Yu-Chih Chang - advisor
  • Ya-Hui Lin - co-chair
  • Yan-Chun Cheng - co-chair
  • Files indicate in-campus access immediately and off-campus access at 1 years
    Date of Defense 2020-06-19 Date of Submission 2020-07-15

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