World Journal of Engineering Research and Technology (WJERT) has indexed with various reputed international bodies like : Google Scholar , Index Copernicus , Indian Science Publications , SOCOLAR, China , International Institute of Organized Research (I2OR) , Cosmos Impact Factor , Research Bible, Fuchu, Tokyo. JAPAN , Scientific Indexing Services (SIS) , Jour Informatics (Under Process) , UDLedge Science Citation Index , International Impact Factor Services , International Scientific Indexing, UAE , International Society for Research Activity (ISRA) Journal Impact Factor (JIF) , International Innovative Journal Impact Factor (IIJIF) , Science Library Index, Dubai, United Arab Emirates , Scientific Journal Impact Factor (SJIF) , Science Library Index, Dubai, United Arab Emirates , Eurasian Scientific Journal Index (ESJI) , Global Impact Factor (0.342) , IFSIJ Measure of Journal Quality , 

World Journal of Engineering
Research and Technology

An International Peer Reviewed Journal for Engineering Research and Technology

ISSN 2454-695X

Impact Factor : 5.218

ICV : 79.45

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    Article are invited for publication in WJERT Coming Issue

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    Its Our pleasure to inform you that, WJERT 1 January 2019 Issue has been Published, Kindly check it on

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    Its our Pleasure to Inform you that WJERT Impact Factor has been increased from 4.236 to 5.218 due to high quality Publication at International Level

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    JANUARY 2019 Issue has been successfully launched on 1 January 2019




Shubham Pathak* and Vinesh Singodia


Stock Prices are very dynamic and volatile because of the underlying nature of the financial domain and also due to the mix of known parameters like previous days? Closing Price and unknown factors like sentiments. Analyzing the huge stock market through Technical Indicators helps traders, analysts and investors to understand market sentiment and accordingly make rational decisions. This paper proposes a prediction method for different stocks using Artificial intelligence based on Open close Crossover (OCC) Indicator which tracks price movement of stocks and give a buy/hold/sell recommendation. It has used a processed data set of Open Price (O) and Close price (C) for the period of one year from March 2017 to March 2018 whose Exponential Moving Average (EMA) is plotted, and inferences are deduced based on results obtained for different periods of OCC Indicator. This paper proposes a technical indicator that outperforms the existing prediction techniques in terms of returns.

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