CNN Based Stock Market Prediction
Web Development
Mentors :
Shivprasad Kathane
Mentees :
5-10 (would yield variety of prediction results!)
The goal of this project is to implement 3D Convolutional Neural Network models for predicting the directional movement of stock markets using data from various sources.
Main Paper: https://www.sciencedirect.com/science/article/pii/S0957417419301915
Other Articles:https://www.analyticsvidhya.com/blog/2021/08/hands-on-stock-price-time-series-forecasting-using-deep-convolutional-networks/
https://www.analyticsvidhya.com/blog/2021/08/hands-on-stock-price-time-series-forecasting-using-deep-convolutional-networks/
https://machinelearningmastery.com/using-cnn-for-financial-time-series-prediction/
will be sharing resources for learning the foundations, mentees can also find more articles on the internet, and look up papers & data on the Indian market as well and try working on them.
Prerequisite:
Should be familiar with python and exposure to data analysis is preferable
Tentative Timeline :
| Week | Work |
|---|---|
| Week 1 | Intro to Time Series Data & Problems |
| Week 2 | Basic modeling & forecasting Methods |
| Week 3 | Basic Machine Learning & Deep Learning |
| Week 4 | Building Neural Networks in Google Colab |
| Week 5 | Understanding and Implementing CNNs |
| Week 6 | Reading and Understanding the Paper Possibly reviewing similar papers/articles |
| Week 7 | Understanding & Working with the Data, Model Building & Evaluation |
| Week 8-9 | Possible Iterations, Optimisations, suggest improvements & Documention |
