Stock Market Prediction Using Machine Learning(ML)Algorithms

Stocks are possibly the most popular financial instrument invented for building wealth and are the centerpiece of any investment portfolio. The advances in trading technology has opened up the markets so that nowadays nearly anybody can own stocks. From last few decades, there seen explosive increas...

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Published in:Advances in distributed computing and artificial intelligence journal Vol. 8; no. 4; pp. 97 - 116
Main Authors: Umer, Muhammad, Awais, Muhammad, Muzammul, Muhammad
Format: Journal Article
Language:English
Published: Salamanca Ediciones Universidad de Salamanca 01.01.2019
Subjects:
Algorithms
Artificial intelligence
exponential smoothing
Financing
Graphical representations
Internet stocks
linear regression
Machine learning
machine learning(ml)
Predictions
Securities markets
Statistical analysis
Stock exchanges
stock market prediction
time series forecasting
ISSN:2255-2863, 2255-2863
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Abstract Stocks are possibly the most popular financial instrument invented for building wealth and are the centerpiece of any investment portfolio. The advances in trading technology has opened up the markets so that nowadays nearly anybody can own stocks. From last few decades, there seen explosive increase in the average person’s interest for stock market. In a financially explosive market, as the stock market, it is important to have a very accurate prediction of a future trend. Because of the financial crisis and recording profits, it is compulsory to have a secure prediction of the values of the stocks. Predicting a non-linear signal requires progressive algorithms of machine learning with help of Artificial Intelligence (AI).In our research, we are going to use Machine Learning Algorithm specially focus on Linear Regression (LR), Three month Moving Average(3MMA), Exponential Smoothing (ES) and Time Series Forecasting using MS Excel as best statistical tool for graph and tabular representation of prediction results. We obtained data from Yahoo Finance for Amazon (AMZN) stock, AAPL stock and GOOGLE stock after implementation LR we successfully predicted stock market trend for next month and also measured accuracy according to measurements.
AbstractList Stocks are possibly the most popular financial instrument invented for building wealth and are the centerpiece of any investment portfolio. The advances in trading technology has opened up the markets so that nowadays nearly anybody can own stocks. From last few decades, there seen explosive increase in the average person’s interest for stock market. In a financially explosive market, as the stock market, it is important to have a very accurate prediction of a future trend. Because of the financial crisis and recording profits, it is compulsory to have a secure prediction of the values of the stocks. Predicting a non-linear signal requires progressive algorithms of machine learning with help of Artificial Intelligence (AI).In our research, we are going to use Machine Learning Algorithm specially focus on Linear Regression (LR), Three month Moving Average(3MMA), Exponential Smoothing (ES) and Time Series Forecasting using MS Excel as best statistical tool for graph and tabular representation of prediction results. We obtained data from Yahoo Finance for Amazon (AMZN) stock, AAPL stock and GOOGLE stock after implementation LR we successfully predicted stock market trend for next month and also measured accuracy according to measurements.
Author Muzammul, Muhammad
Awais, Muhammad
Umer, Muhammad
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SubjectTerms Algorithms
Artificial intelligence
exponential smoothing
Financing
Graphical representations
Internet stocks
linear regression
Machine learning
machine learning(ml)
Predictions
Securities markets
Statistical analysis
Stock exchanges
stock market prediction
time series forecasting
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