Stock Closing Price Prediction

This repository contains code for predicting stock closing prices using machine learning models and visualizing trading decisions.

Structure

• data/: Scripts to fetch and save stock data.
  • fetch_data.py: Fetches historical stock data and saves it to a CSV file.
• features/: Scripts to calculate and save features for the models.
  • calculate_features.py: Calculates moving averages and other features.
• models/: Scripts to train and save models, as well as make predictions.
  • train_model.py: Trains the machine learning models and saves them.
  • predict_model.py: Loads the trained models and makes predictions.
• trading/: Scripts to implement trading logic and visualize trading decisions.
  • trading_decision.py: Makes trading decisions based on model predictions.
  • trading_visualization.py: Visualizes trading decisions.
• api/: Scripts to create a Flask API for making predictions.
  • app.py: Flask API to serve predictions from the trained model.
• main.py: Main script to run the entire pipeline.
• requirements.txt: List of dependencies required to run the project.

Setup

1. Clone the Repository:

   git clone https://github.com/tinopenchev/Supervised-Learning---Stock-Price-Predictions.git
   cd Supervised-Learning---Stock-Price-Predictions