Create your own mock stock portfolio, complete with a P/L  statement in Python. The goal of this project is to be able to pretend to buy and sell the stock with real stock data; while recording your transaction histories and presenting that information to a user in the form of a P & L statement. A rubric is as follows Able to get real-time stock data - Allows you to mock buy/sell stock using tickers and share amount Saves your P & L data between running your program  (For beginners, I suggest using pandas.DataFrame.to_csv or sqlite3) (google it) Creates a decent P & L with the columns DATE, TICKER, PRICE, SHARES, BALANCE  Program runs smoothly (doesn't crash, the output is aesthetically pleasing to look at)  Comments within code, code is well structured and easy to look at Methods used in Script are contained within Class

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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Create your own mock stock portfolio, complete with a P/L  statement in Python.

The goal of this project is to be able to pretend to buy and sell the stock with real stock data; while recording your transaction histories and presenting that information to a user in the form of a P & L statement.

A rubric is as follows

  • Able to get real-time stock data - Allows you to mock buy/sell stock using tickers and share amount
  • Saves your P & L data between running your program  (For beginners, I suggest using pandas.DataFrame.to_csv or sqlite3) (google it)
  • Creates a decent P & L with the columns DATE, TICKER, PRICE, SHARES, BALANCE 
  • Program runs smoothly (doesn't crash, the output is aesthetically pleasing to look at)
  •  Comments within code, code is well structured and easy to look at
  • Methods used in Script are contained within Class 

 

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