I have added this new feature to iterate through a watchlist of stocks and return the latest order (which is on the latest date of the given stock history) for each of the stocks. Entering 'today' when asked for a ticket prints this list of orders. The 'Current performance' that is printed with the order is simply a percentage change between the entry price and the latest value of the portfolio that followed the algorithm.

Code:

watchlist = ['BABA', 'IBM', 'PEN', 'GOOG', 'SPCE', 'AMD', 'NIO', 'ARKG', 'PENN', 'MRNA', 'WMT', 'AAPL', 'SBUX', 'NKE', 'SNE']
for ticker in watchlist:
        portfolio, entry_price, control_value, algo_value, prices, days = run_algo(ticker, starting_capital, starting_shares)
        order_today = portfolio.Orders[days-1]
        highlight_color = order_today['Type'] == "Buy" and 'green' or order_today['Type'] == "Sell" and 'red' or 'white'
        performance = math.floor( (algo_value-entry_price)/entry_price*100 )
        print(ticker,colored( order_today, highlight_color), "Current performance: "+ (algo_value >= entry_price and "+%" or algo_value < entry_price and "-%")+ str(performance))

Output:

BABA {'Type': 'Buy', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%183
IBM {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%9
PEN {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%270
GOOG {'Type': 'Sell', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%77
SPCE {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%230
AMD {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%1020
NIO {'Type': 'Sell', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%573
ARKG {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%141
PENN {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%501
MRNA {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%460
WMT {'Type': 'Sell', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%103
AAPL {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%389
SBUX {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%141
NKE {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%148
SNE {'Type': 'Hold', 'Day': Timestamp('2020-12-23 00:00:00')} Current performance: +%292

** On entry to DGEBAL parameter number 3 had an illegal value ** On entry to DGEHRD parameter number 2 had an illegal value ** On entry to DORGHR DORGQR parameter number 2 had an illegal value ** On entry to DHSEQR parameter number 4 had an illegal value Traceback (most recent call last): File "stockbot.py", line 1, in import yfinance as yf File "C:\Users\user\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\yfinance_init_.py", line 25, in from .ticker import Ticker File "C:\Users\user\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\yfinance\ticker.py", line 27, in import pandas as pd File "C:\Users\user\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\pandas_init.py", line 11, in import(dependency) File "C:\Users\user\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\numpy_init_.py", line 305, in win_os_check() File "C:\Users\user\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\numpy_init.py", line 302, in _win_os_check raise RuntimeError(msg.format(file)) from None RuntimeError: The current Numpy installation ('C:\Users\user\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\numpy\init.py') fails to pass a sanity check due to a bug in the windows runtime. See this issue for more information: https://tinyurl.com/y3dm3h86

Hi, Ryan.

So I did your 5 steps:

1. Make changes in a new branch (Made new branch 'test' in my local repository)
2. Commit changes
3. Fetched your repository (git fetch ryancullen/stock-bot), then fetched your feature-test branch (git fetch origin feature-test)
4. Merged it with my 'test' branch (git merge origin/feature-test)
5. Can't push it with git push since I don't have access to your repository so I'm making a pull request here with the merged branch (it's also named feature-test).

Make numbers more readable: round to 2 decimal places and commas as thousands separators. f-strings are supported starting Python3.6 which makes it available pretty much in all environments.