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WORCESTER POLYTECHNIC INSTITUTEPRICING LAB MICROSOFT DYNAMICS GP 10.0 LAB3 (02/25/2010)NAME: ___ COURSE: ___ STUDENT NUMBER: ___1Please do not save any changes. Discard them if any changes have been
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How to fill out predicting stock price by
01
Collect historical stock price data
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Choose a predictive model (e.g. regression, time series analysis)
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Feature engineering and data preprocessing
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Train the model using historical data
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Evaluate the model performance using test data
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Use the trained model to predict future stock prices
Who needs predicting stock price by?
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Investors looking to make informed decisions on buying or selling stocks
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Companies wanting to forecast their stock performance
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Financial analysts and researchers studying the stock market
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What is predicting stock price by?
Predicting stock price is typically done using various methods such as technical analysis, fundamental analysis, machine learning algorithms, and market indicators.
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Any individual or entity that is involved in trading or investing in stocks may engage in predicting stock price.
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To fill out predicting stock price, one may need to collect and analyze historical stock data, use mathematical models or algorithms, and consider market trends and news.
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The purpose of predicting stock price is to make informed investment decisions, manage risk, and potentially generate profits in the stock market.
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The information reported on predicting stock price may include price estimates, analysis of stock performance, and potential factors affecting stock price movement.
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