https://github.com/samarthhchinivar/stock-python

Predicts the stock trend, with the help of LSTM Model
https://github.com/samarthhchinivar/stock-python

jupyter-notebook lstm machine-learning python3 streamlit

Last synced: about 1 year ago
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Predicts the stock trend, with the help of LSTM Model

• Host: GitHub
• URL: https://github.com/samarthhchinivar/stock-python
• Owner: SamarthHChinivar
• Archived: true
• Created: 2022-12-10T15:22:34.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2023-07-19T15:20:20.000Z (almost 3 years ago)
• Last Synced: 2025-02-24T06:45:52.175Z (over 1 year ago)
• Topics: jupyter-notebook, lstm, machine-learning, python3, streamlit
• Language: Python
• Homepage:
• Size: 6 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# stock-python

- This streamlit app doesn't work anymore. If you want to help me in bringing this project back to a working state, then contact.  

## Demonstration:

https://user-images.githubusercontent.com/104615876/207640802-edd1403e-a221-4ec3-9e1b-ded64ce2ee7a.mp4




Check out this link for Collab Notebook: https://colab.research.google.com/drive/1HzRFhmtUcGiFX_hDzqhU-AW6YuGsvKVx  

## Steps to Run this App:

Follow these steps for running this `Streamlit` App on your System:

1. Download the `ZIP` file of this repository as shown below:

![download-github-button](https://user-images.githubusercontent.com/104615876/207635355-55b3b155-f0d0-41b5-8f39-f4a7918a50b7.jpg)

2. Extract the `ZIP` file.

3. Go to the extracted file and then right-click. Then select option `Open in-terminal` or open the terminal at this path.

4. If you are using streamlit for the first time, then type `pip install streamlit`

5. If streamlit module is installed, then type `streamlit run app.py`

![streamlit-run](https://user-images.githubusercontent.com/104615876/207635569-6e5b0586-b9b7-4f3f-aa06-69fdc8e26886.jpg)