Skip to content

"Stock Predictor" project basically aims to give a visual representation and analysis of data related to real-time changing stocks.stock predictor analysis is a powerful tool for investors and traders looking to gain insights into market trends.

Notifications You must be signed in to change notification settings

Necromancer71803/StockPredictor

 
 

Repository files navigation

Stock Prediction System

To run streamlit application:

  1. Go to file directory ..Debasish Test\Previous Model
streamlit run app.py

To Access frontend side of project, cd into Utkarsh Test.

To Access backend side of project, cd into Debasish Test and Amal Test.

To Access and run project as a whole, cd into final_project.

  1. For running final project.
  • Go to directory in final project.
cd "C:\Users\Debasish Ray\Desktop\stock\StockPredictor\final_project"
  • Run the app file in streamlit.
streamlit run app.py
  • Go to directory in stock_frontend
cd "stock_frontend"
  • Run the scripts.
npm run start
  • Then ,start the server by navigating to different file. (C:\Users\Debasish Ray\Desktop\stock\StockPredictor\final_project\stock_frontend\data_backend)
cd data_backend
  • Run node server
node server.js

About

"Stock Predictor" project basically aims to give a visual representation and analysis of data related to real-time changing stocks.stock predictor analysis is a powerful tool for investors and traders looking to gain insights into market trends.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages

  • Python 66.6%
  • Jupyter Notebook 32.7%
  • JavaScript 0.3%
  • PowerShell 0.2%
  • C 0.1%
  • CSS 0.1%