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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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Indexing

Abstract

STOCK MARKET PREDICTION USING ARTIFICIAL INTELLIGENCE AND SELF-DESIGNED INDICATOR

Shubham Pathak* and Vinesh Singodia

ABSTRACT

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.

[Full Text Article]