Predicting the Price of $AAPL Using a WGAN-GP Model

This project seeks to rely on recent deep learning and technical analysis advancements to generate predictions of short term price movements for the Apple stock, $AAPL.

Members and Contributions

Shayne Biagi

• Developed wGAN-GP Stock Prediction Model
  • Generator
  • Discriminator
  • Tuning
• Developed ARIMA Model
• Developed Autoencoder

Andrew Istfan

• Extracted basic stock indicators
• Calculated technical indicators
• Feature engineering

Franco Medrano

• Created Reddit webscraper
• Scraped Twitter data
• Sentiment analysis
• Variable Importance with XGBoost

Table of Contents

• Overview
• Approach
• Results
• Future Work
• Conclusion

Links to External Project Materials

• Final paper
• Code
• Final presentation