Hello everyone,
I’m excited to share our work on forecasting Bitcoin prices using a variety of advanced techniques. Over the past few weeks, we have been diving deep into time series analysis, model selection, and feature engineering to enhance prediction accuracy. Here is the Github repo link that you can find the report with all the data and code scripts:
Multi-Factor-Risk-Models-for-Cryptocurrency-Price-Variance
I’d love to hear your feedback or any suggestions you might have regarding model improvements, data engineering, and forecasting techniques.
Looking forward to the discussion.
Best regards,
Yunus