Skip to content
/ Time-Series-Forecasting-of-Amazon-Stock-Prices-using-Neural-Networks-LSTM-and-GAN- Public
forked from deshpandenu/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 G…

0 stars 121 forks Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

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

BranchesTags
 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

23 Commits
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
 
 

Repository files navigation

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

About

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…

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

No packages published

Languages

  • Jupyter Notebook 100.0%