Designing a Hybrid Intelligent Model for Prediction of Stock Price Golden Points

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

Moshari Mohammad; Didehkhani Hosein; Khalili Dameghani Kaveh; ABBASI EBRAHIM

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: INVESTMENT KNOWLEDGE Year:2019 | Volume:8 | Issue:29 Page(s): 45-65

Download Full-Text

Persian Verion

View:

736

Download:

Cites:

Information Journal Paper

Title

Designing a Hybrid Intelligent Model for Prediction of Stock Price Golden Points

Author(s)

Moshari Mohammad | Didehkhani Hosein | Khalili Dameghani Kaveh | ABBASI EBRAHIM | Issue Writer Certificate

Keywords

financial marketsQ1

forecastingQ1

stocks golden pointsQ1

Data miningQ1

Abstract

The purpose of this research is to provide an intelligent model for prediction of golden points on stock price chart as a decision support system. For conduction of this research, the data of the automotive and parts manufacturing industry during 2001 through to 2016 were used. First, the obtained results from application of different forecasting models based on Data mining were compared with each other. Next, the research variables were optimized by genetic algorithm and remodeling took place. The results indicated that the golden points could be predicted with reasonable accuracy and optimization did not enhanced accuracy in all these models, yet it significantly reduced gross error.

Cites

No record.

References

No record.

Cite

APA: Copy

Moshari, Mohammad, Didehkhani, Hosein, Khalili Dameghani, Kaveh, & ABBASI, EBRAHIM. (2019). Designing a Hybrid Intelligent Model for Prediction of Stock Price Golden Points. INVESTMENT KNOWLEDGE, 8(29 ), 45-65. SID. https://sid.ir/paper/188147/en

Vancouver: Copy

Moshari Mohammad, Didehkhani Hosein, Khalili Dameghani Kaveh, ABBASI EBRAHIM. Designing a Hybrid Intelligent Model for Prediction of Stock Price Golden Points. INVESTMENT KNOWLEDGE[Internet]. 2019;8(29 ):45-65. Available from: https://sid.ir/paper/188147/en

IEEE: Copy

Mohammad Moshari, Hosein Didehkhani, Kaveh Khalili Dameghani, and EBRAHIM ABBASI, “Designing a Hybrid Intelligent Model for Prediction of Stock Price Golden Points,” INVESTMENT KNOWLEDGE, vol. 8, no. 29 , pp. 45–65, 2019, [Online]. Available: https://sid.ir/paper/188147/en

Related Journal Papers