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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
02
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
05
Evaluate the model performance using test data
06
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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Predicting stock price is typically done using various methods such as technical analysis, fundamental analysis, machine learning algorithms, and market indicators.
Any individual or entity that is involved in trading or investing in stocks may engage in predicting stock price.
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.
The purpose of predicting stock price is to make informed investment decisions, manage risk, and potentially generate profits in the stock market.
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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