Work2019

Stock Price Prediction Using Machine Learning Techniques

Sumeet Sarode · Harsha G. Tolani · Prateek Kak · C. S. Lifna

33 citations0/0 files storedInternational Conference on Intelligent Sustainable Systems (ICISS)

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Stock Market Forecasting Methods Financial Markets and Investment Strategies Financial Analysis and Corporate Governance

Abstract

In today's economy, there is a profound impact of the stock market or equity market. Prediction of stock prices is extremely complex, chaotic, and the presence of a dynamic environment makes it a great challenge. Behavioural finance suggests that decision-making process of investors is to a very great extent influenced by the emotions and sentiments in response to a particular news. Thus, to support the decisions of the investors, we have presented an approach combining two distinct fields for analysis of stock exchange. The system combines price prediction based on historical and real-time data along with news analysis. LSTM (Long Short-Term Memory) is used for predicting. It takes the latest trading information and analysis indicators as its input. For news analysis, only the relevant and live news is collected from a large set of business new. The filtered news is analyzed to predict sentiment around companies. The results of both analyses are integrated together to get a response which gives a recommendation for future increases.

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References

2003Financial time series forecasting using support vector machines 2014Predicting stock and stock price index movement using Trend Deterministic Data Preparation and machine learning techniques 2004Forecasting stock market movement direction with support vector machine 2009Textual analysis of stock market prediction using breaking financial news 2014Predicting stock market index using fusion of machine learning techniques 2000Support vector machine for regression and applications to financial forecasting 2006Machine Learning Techniques and Use of Event Information for Stock Market Prediction: A Survey and Evaluation 2007Combining News and Technical Indicators in Daily Stock Price Trends Prediction

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