Analysis of the Bollinger Band Mean Regression Trading Strategy
- DOI
- 10.2991/978-94-6463-246-0_11How to use a DOI?
- Keywords
- Stock; Bollinger Band; Back Test; Mean Regression
- Abstract
Stocks have become an indispensable part of people’s lives. There are many trading strategies used in trading and investment, among which Bollinger band mean regression trading strategy is a popular one. This article focuses on using this strategy to analyze several leading stocks and partially test them. After analyzing the stock, Bollinger band mean regression trading method is adopted. Ultimately, sharp short-term price movements and potential entry and exit points are identified. Finally, it is concluded that this strategy is flexible and visually intuitive, and they are easy to explain visually. It can be applied to any underlying asset in any time frame indicator, generating signals that not only provide precise entry levels, but also specify stop losses and profit zones. But such a strategy would react to changes in price movements without predicting them. It can therefore be a useful tool for technical analysis. The result could allow traders to make better informed decisions about when to enter and exit by carefully evaluating and adjusting their strategies.
- Copyright
- © 2024 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
TY - CONF AU - Guanru Su PY - 2023 DA - 2023/09/26 TI - Analysis of the Bollinger Band Mean Regression Trading Strategy BT - Proceedings of the 3rd International Conference on Economic Development and Business Culture (ICEDBC 2023) PB - Atlantis Press SP - 95 EP - 102 SN - 2352-5428 UR - https://doi.org/10.2991/978-94-6463-246-0_11 DO - 10.2991/978-94-6463-246-0_11 ID - Su2023 ER -