Thesis_Project The purpose of our project is to propose a bootstrap-forecasting method for stock price forecasting under non-normality. The data used for this analysis is from the Shanghai and Shenzhen stock exchanges at Tushare and was created by Mona.
Data: df = ts.get_hist_data('Stock code')
Tools: Python, pandas, Tushare, ML models, R
The folder has the following files:
Final data set
Webapp - Final Presentation
Webapp - Dashboard Creator
Source Codes, Jupiter Notebooks, Raw Data, Graphs / Images etc. https://github.com/MonaDara/stock-uncer-model