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Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as G…

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AMZN.csv
AMZN.csv
 
 
Close.csv
Close.csv
 
 
Notebook 1_ Stock Market Models-ARIMA, Fourier, Feature Extraction, LSTM.ipynb
Notebook 1_ Stock Market Models-ARIMA, Fourier, Feature Extraction, LSTM.ipynb
 
 
Notebook 2_ Stock Market Analysis using LSTM(Vanilla)-how good is a LSTM at predicting price movement.ipynb
Notebook 2_ Stock Market Analysis using LSTM(Vanilla)-how good is a LSTM at predicting price movement.ipynb
 
 
Notebook 3_ LSTM models tying to predict future stock price movements.ipynb
Notebook 3_ LSTM models tying to predict future stock price movements.ipynb
 
 
Notebook 4_ LSTM sentiment analysis model .ipynb
Notebook 4_ LSTM sentiment analysis model .ipynb
 
 
Notebook 6_ More predictions(using accuracy as a metric measure) with LSTM, GRU .ipynb
Notebook 6_ More predictions(using accuracy as a metric measure) with LSTM, GRU .ipynb
 
 
Notebook_5_GAN.ipynb
Notebook_5_GAN.ipynb
 
 
README.md
README.md
 
 
Summary of the Time Series Project.pdf
Summary of the Time Series Project.pdf
 
 
data
data
 
 

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Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN-

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

IF THE NOTEBOOKS DONT OPEN ON GITHUB VIEW THEM ON THIS SITE: https://nbviewer.jupyter.org/ Copy the Jupyter notebooks github URL in this site and view them

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Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as G…

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