Stock Prediction in Python

This Stock Prediction app allows you to analyze and predict stock prices using any dataset of your choice.

Features

• Flexible Dataset Input: Any stock in CSV format (from Yahoo Finance works best)
• Data Visualization: Interactive charts for historical trends and price movements.
• Prediction Models: Utilize machine learning models like Linear Regression, LSTM, or ARIMA for price predictions.
• Customizable Parameters: Adjust timeframes, features, and prediction windows.
• Exportable Results: Save predictions and insights to a CSV file.

Requirements

• Python 3.7+
• Libraries:
  • numpy
  • pandas
  • matplotlib
  • os
  • scikit-learn
  • tensorflow (for LSTM models)

Future Work

• Could use live stock API's for instant predictions.
• Much larger training sets for better models.
• Better UI for ease of use.