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A Streamlit based application to predict future Stock Price and pipeline to let anyone train their own multiple Machine Learning models on multiple stocks to generate Buy/Sell signals. This is a WIP and I will keep on adding new ideas to this in future.

Home Page: https://stock-prediction-dashboard.herokuapp.com/

Jupyter Notebook 98.45% Shell 0.01% Python 1.54%
stock-price-prediction feature-extraction pipeline lstm-neural-networks random-forest xgboost

stock-prediction-portfolio-optimization's Introduction

Feature Extraction & Stock Price Prediction Pipeline (for training on Multiple Stocks)

A Streamlit based application to extract features and predict future Stock Price. In this application, I have developed a Pipeline to let anyone train their own multiple Machine Learning models on multiple stocks simultanously to generate Buy/Sell Signals using the best model.

I have also created a Kaggle Dataset using the extracted features for Nasdaq-100 companies.

There are 3 Dashboards in the web application -

1. Stock Exploration & Feature Extraction

2. Train ML Models for next day Stock Price Prediction

3. Train LSTM network for future Stock Price Prediction beyond just next day

This is a WIP and I will keep on adding new ideas to this in future.

Streamlit WebApp link

Medium Post

Its a Numbers Game

Dashboard Screenshots -

Streamlit Dash

Streamlit Dash

Streamlit Dash

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