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STOCK PRICE PREDICTION
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- Contributor: projectwaka
- engagements: 171
- Case No: 119638pw
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ABSRACT - [ Total Page(s): 1 ]In this project we attempt to implement machine learning approach to predict stock prices. Machine learning is effectively implemented in forecasting stock prices. The objective is to predict the stock prices in order to make more informed and accurate investment decisions. We propose a stock price prediction system that integrates mathematical functions, machine learning, and other external factors for the purpose of achieving better stock prediction accuracy and issuing profitable trades.There are two types of stocks. You may know of intraday trading by the commonly used term "day trading."
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CHAPTER ONE - [ Total Page(s): 1 ]INTRODUCTIONThe financial market is a dynamic and composite system where people can buy and sell currencies, stocks, equities and derivatives over virtual platforms supported by brokers. The stock market allows investors to own shares of public companies through trading either by exchange or over the counter markets. This market has given investors the chance of gaining money and having a prosperous life through investing small initial amounts of money, low risk compared to the risk of opening new business or the need of high salary career. Stock markets are affected by many factors causing th ... Continue Reading
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ABSRACT - [ Total Page(s): 1 ]In this project we attempt to implement machine learning approach to predict stock prices. Machine learning is effectively implemented in forecasting stock prices. The objective is to predict the stock prices in order to make more informed and accurate investment decisions. We propose a stock price prediction system that integrates mathematical functions, machine learning, and other external factors for the purpose of achieving better stock prediction accuracy and issuing profitable trades.There are two types of stocks. You may know of intraday trading by the commonly used term "day trading."
... Continue Reading
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