https://github.com/ayushtiwari134/stock_price_predictor_dl

This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.
https://github.com/ayushtiwari134/stock_price_predictor_dl

deep-learning eda keras lstm-model machine-learning matplotlib numpy pandas python rnn streamlit tensorflow yfinance-library

Last synced: 3 days ago
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This is a full stack end to end project with the model trained in jupyter notebook, the backend file written in python, and for simplicity, the frontend created using streamlit.

• Host: GitHub
• URL: https://github.com/ayushtiwari134/stock_price_predictor_dl
• Owner: ayushtiwari134
• Created: 2023-11-21T15:15:05.000Z (12 months ago)
• Default Branch: main
• Last Pushed: 2023-11-26T16:49:02.000Z (12 months ago)
• Last Synced: 2024-01-29T10:49:35.599Z (9 months ago)
• Topics: deep-learning, eda, keras, lstm-model, machine-learning, matplotlib, numpy, pandas, python, rnn, streamlit, tensorflow, yfinance-library
• Language: Jupyter Notebook
• Homepage:
• Size: 4.11 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## Stock price predictor to analyze the performance of the model over a large period of time

### My very first deep learning project.

This is a full stack end to end project with the model trained in *jupyter notebook*, the backend file written in *python*, and for simplicity, the frontend created using *streamlit*.


The deep learning model is an LSTM model which is used on time-series data which comes in handy with the current project

### About the project

* Data is fetched from *yahoo finance* regarding the price of a stock over a period of 10 years

* The data is preprocessed and fed into the model to create predictions

* Charts regarding the *50-day*, *100-day* and even *200-day* *moving averages* of the particular stock are drawn

* The predictions are plotted along with the correct price in a plot using matplotlib

* The entire interface is displayed as a frontend webapp using *streamlit* and coded out in python