Team members: Naomi Wilson, Sergio Avila.
Code is designed to automate Comparable Company Analysis using Python, Excel, and Capital IQ - as such it is tailored to Babson students - but it could also work for anyone with Capital IQ credentials (after some modifications).
The main idea of our project is to automate Financial Comparable Analysis for any industry (publicly-traded) given a series of names or tickers. Our program would analyze and benchmark various metrics, then use the weighted average of percentiles to perform an analysis of the target company versus a group of competitors to determine which ones are under/overvalued relative to how they rank. Our project runs in two main functions. One utilizes the selenium library to use user credentials to sign into Capital IQ and download comparable company data. This has several advantages - it has analyst comparables, forward estimates for metrics and multiples, and allows for Excel automation which the team wanted to experience given its real-world applications for job settings. The other functionality uses os, wlwings, and aspose libraries to convert the Excel files into a usable form and then perform a series of analyses on them. The function also injects and calls VBA code that natively takes care of user-friendly formatting.
1. Download required libraries to use selenium, aspose, glob, shutil, time, os, and xlwings.
2. In Excel settings, enable VBA macros and trust access to the VBA project object model.
1. File > Options > Trust Center > Trust Center Settings > Macro Settings [Select "Trust Access to the VBA project object model" and "EnableVBA Macros"]
3. Fork repository to local computer and ensure folder path is correctly formatted.
4. Run Final_Production.py - Enter Babson Email and Password and List of Companies to Analyze.
5. Wait for code to run - You will be prompted when it is done. The analysis will be added to each Excel sheet.
6. Move these Excel sheets to another local folder before running code again.
7. Make individual edits to each Excel as need.
*This is just a starting analysis and not a fully comprehensive company valuation.
Below are the required libraries to install to run code. Code runs on Python - please download latest version:
Install Python - https://www.python.org/downloads/
pip install selenium
pip install aspose-cells-python
pip install glob2
pip install xlwingsExample of Capital IQ data page which web_automation.py reads and automates - pictured is an example company and comps:
[Selenium]
https://www.tutorialspoint.com/how-to-open-browser-window-in-incognito-private-mode-using-python-selenium-webdriver
https://www.thepythoncode.com/article/automate-login-to-websites-using-selenium-in-python
https://www.geeksforgeeks.org/find_element_by_id-driver-method-selenium-python/
https://pythonbasics.org/selenium-keyboard/
https://selenium-python.readthedocs.io/locating-elements.html
[Moving Files Locally]
https://www.learndatasci.com/solutions/python-move-file/
https://datatofish.com/latest-file-python/
[XLWING]
https://www.geeksforgeeks.org/working-with-excel-files-in-python-using-xlwings/
https://docs.xlwings.org/en/stable/quickstart.html#macros-call-python-from-excel
http://www.et.byu.edu/~treedoug/_pages/teaching/ChEn263/Lectures/Lec23-XLWings_handout.pdf
https://www.dataquest.io/blog/python-excel-xlwings-tutorial/
[ASPOSE]
https://products.aspose.com/cells/python-net/conversion/xls-to-xlsm/
*ChatGPT aided in the debugging process







