Proceedings of the 2nd International Conference on Education, Science, and Technology (ICEST 2017)

SuIndiWeb: A Web-Based Platform of Sutte Indicator Predicting Movement of Stock

Authors
Ansari Saleh Ahmar
Corresponding Author
Ansari Saleh Ahmar
Available Online September 2017.
DOI
https://doi.org/10.2991/icest-17.2017.77How to use a DOI?
Keywords
sutte indicator, SuIndiWeb, web based, predicting, movement, stock
Abstract
Technical Indicator is one of approach to analyze the movement of stock. Will this stock decrease or increase in future? One new measurement that has been developed is Sutte Indicator. The Sutte Indicator is an indicator used in Technical Analysis of Stock Market. Sutte Indicator helps in the decision making process for stock investors when they can make a buy or sale of stocks. Sutte Indicator has been implemented in several stocks suchas Apple Inc., XL AxiataTbk and Smartfren Telecom Tbk. To view the reliability in the prediction of SutteIndicator then it has been compared with other Technical Analysis such as Simple Moving Average (SMA) and Moving Average Convergence/Divergence (MACD). From the results of this comparison, The obtained result showed that this indicator has a better level of accuracy than the SMA and MACD. To simplify the implementation process of Sutte Indicator, a tool on Web-based platform has been made and named as SuIndiWeb. Thus, SuIndiWeb can be utilized in the process of predicting stock movements.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
September 2017
ISBN
978-94-6252-403-3
ISSN
2352-5398
DOI
https://doi.org/10.2991/icest-17.2017.77How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Ansari Saleh Ahmar
PY  - 2017/09
DA  - 2017/09
TI  - SuIndiWeb: A Web-Based Platform of Sutte Indicator Predicting Movement of Stock
PB  - Atlantis Press
SP  - 237
EP  - 239
SN  - 2352-5398
UR  - https://doi.org/10.2991/icest-17.2017.77
DO  - https://doi.org/10.2991/icest-17.2017.77
ID  - Ahmar2017/09
ER  -