Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)

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Evaluating the Performance of One-minute and Thirty-minute Datums in the Stock Market

Authors
Xiaolu Jiang1, *
1Ocean University of China, School of Math, Qingdao, China
*Corresponding author. Email: jiangxiaolu@stu.ouc.edu.cn
Corresponding Author
Xiaolu Jiang
Available Online 29 December 2022.
DOI
10.2991/978-94-6463-042-8_63How to use a DOI?
Keywords
interval breakthrough model; stock data; maximum drawdown rate; annualized rate of return
Abstract

The stock market applies data with different time intervals to invest. This paper aims to figure out how to apply stock data at different time intervals to build a range breakout model by comparing different data indicators to ensure profit maximization. The two groups of interval data are selected as intra-day data trading within 30 minutes and intra-day data within 1 minute. Through program code, this research calculates the real-time profit, maximum withdrawal rate and annual interest rate. Two times interval charts are drawn from data and compared. This paper finds that intra-day data trading in 30 minutes is more effective than intra-minute data trading in controlling stock risk. Data with a 30- minute interval yields a maximum decline rate of 5% and an annual profit of 2%. Data with an interval of 1 minute has a drawdown rate of 47% at most and an annual interest rate of -1%. In addition, the article also finds that if price of a stock fluctuates in a small range, the data indicators calculated by using two times intervals are almost equal. If stock price fluctuates greatly, data indicators of 30-minute data are basically better than the calculated indicator of 1-minute data.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
Series
Advances in Computer Science Research
Publication Date
29 December 2022
ISBN
978-94-6463-042-8
ISSN
2352-538X
DOI
10.2991/978-94-6463-042-8_63How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Xiaolu Jiang
PY  - 2022
DA  - 2022/12/29
TI  - Evaluating the Performance of One-minute and Thirty-minute Datums in the Stock Market
BT  - Proceedings of the 2022 International Conference on mathematical statistics and economic analysis (MSEA 2022)
PB  - Atlantis Press
SP  - 433
EP  - 438
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-042-8_63
DO  - 10.2991/978-94-6463-042-8_63
ID  - Jiang2022
ER  -