This is a co-worked project for ECE-GY 6143 Introduction to Machine Learning Stock price prediction based on machine learning
Teammate names: Zhiming Fan(zf2035)、 Qizhi Xu(qx529)、Rongji Yao(ry1107)、Zhe Zhang(zz3230)
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Deep Learning Models
- Long Short Term Memory (LSTM)
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Machine Learning libraries in Python
- keras
- numpy
- Pandas
- seaborn
- matplotlib
- datetime
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Data Set
- pandas_datareader.data ( Extract yahoo finance data of historical stock )
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Simulation Stock Prediction
In this lab, we select APPLE, GOOGLE, MICROSOFT, AMAZON, AAL, CYCEY, TSLA as data samples from Yahoo finance, the dataframe contains elements : High, Low, Open, Close, Volume, Ad Close, company_name.
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APPLE, GOOGLE, MICROSOFT, AMAZON are the most essential stocks because they are technology companies.
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AAL, CYCEY, TSLA are industry groups.