py -m venv venv
- For Command Prompt - cmd
C:\Users\User\Stealth> venv\Scripts\activate.bat
(venv) C:\Users\User\Stealth>
- For Git Bash - bash
User@User MINGW64 ~/Stealth (main)
$ source venv/Scripts/activate
(venv)
User@User MINGW64 ~/Stealth (main)
$
- For Command Prompt - cmd
(venv) C:\Users\User\Stealth> venv\Scripts\deactivate.bat
C:\Users\User\Stealth>
- For Git Bash - bash
(venv)
User@User MINGW64 ~/Stealth (main)
$ deactivate
User@User MINGW64 ~/Stealth (main)
$
What was actually installed
pip install pandas
pip install plotly
pip install nbformat
pip install pandas
pip install yfinance
pip install matplotlib
pip install seaborn
A text file named data.txt is attached to this message.
Within that text file is a list of points representing the "dollar value" of a mystery stock at a certain time.
The values are from the past 1 year of that stock.
For example, the first point in the text file is:
1679544000000,158.93
1679544000000
represents the number of milliseconds that have past since the date January 1st 1970,
158.93
represents the dollar value of the stock at that time.
What I would like you to do is, create a program that generates a graph of all the points.
Bonus Challenge: Create a program that finds other stocks that have "similar" graphs to the stock in the text file, and figure out what the mystery stock is.
Recommended Tools: Python, Matplotlib, Jupyter Notebook
Choose any one of the ten companies below:
Vertiv
Cameco
First Solar
Caterpillar Inc
Franklin Resources Inc
Energy Transfer LP
Cisco Systems Inc
Comcast Corp
Li Auto
BWX Technologies
Company choose:
Franklin Resources Inc
Then, create an investigative report on the company you have chosen. Include the following information at minimum:
-Visual-based analysis of past two years of market data in one month ticks: include trading volume, earnings, and share price at minimum
-Three significant events that have occurred with the company in the past year
-The dominant shareholders of the company
-The goal / philosophy of the company
-A holistic analysis of whether the company is a good investment