Looking for help rather than answers. Mark down language must be provided
INSY 5336 001 Python Programming Fall 2019 Final Term Project (100 points) Due Date: December 1, 2019 11:59 pm CST (no exceptions) The following guidelines should be followed and will be used to grade your project work: All code to be implemented and submitted as a jupyter notebook (.ipynb) file. This is an individual homework assignment, no group submissions will be accepted. If you discuss in groups, please write your code individually and submit. Sample runs shown in the question should be used as a guide for implementation. However extensive testing needs to be done on your code to deal with all test cases that might possibly be executed. The instructions for running of each cell and the expected results should be documented in the cell preceding the code using markdown language. Every code segment in the jupyter notebook cells should be well documented with comments. Use # in the code to provide comments and they should explain the algorithm and what the code segment is doing. Error checking in your code is very important and differentiates a high quality programmer from a low quality one. Hence you should account for invalid user inputs, infinite loops, out of range results, etc. and resolve them by appropriate error messages. The homework will be graded for robustness of your code. Please read each assignment carefully. Note that you need to test your code with example input files. I will be using my own test input file to test your code. DO NOT hard code file names in your program. This is a project to scrape data from the web and store the results in a text file. 1. (100 points) The CNN Money’s Market Movers website (https://money.cnn.com/data/hotstocks/ ) tracks the most active stocks on a real time basis. Specifically, the most active, the top gainers and top losers are listed at any instance in time. You will first write Python scripts that collect the list of most actives, gainers and losers from the above website. Next, your programs should take the ticker symbols and names of these companies (and categories) and build a csv file (called stocks.csv) with data about each stock from the website: https://finance.yahoo.com/quote/AMD?p=AMD&.tsrc=fin-srch-v1 which gives the quote for ticker symbol AMD as an example. The data to be collected from the Yahoo Finance site should include: OPEN price PREV CLOSE price VOLUME MARKET CAP Your code should also list the names of the companies in the order and categories listed in the website: https://money.cnn.com/data/hotstocks/ and ask the user to choose a company to get the data on. Once the user chooses the company of interest, your program should display its corresponding data (Open, Prev Close, Volume and Market Cap). Sample Runs (user input in RED): This is a program to scrape data from the https://money.cnn.com/data/hotstocks/ for a class project. Which stock are you interested in: https://money.cnn.com/data/hotstocks/ https://finance.yahoo.com/quote/AMD?p=AMD&.tsrc=fin-srch-v1 https://money.cnn.com/data/hotstocks/ https://money.cnn.com/data/hotstocks/ Most Actives: AMD Advanced Micro Devices Inc GE General Electric Co BAC Bank of America Corp WBA Walgreens Boots Alliance Inc AAPL Apple Inc F Ford Motor Co FCX Freeport-McMoRan Inc CSCO Cisco Systems Inc OXY Occidental Petroleum Corp MU Micron Technology Inc Gainers: WBA Walgreens Boots Alliance Inc MKTX Marketaxess Holdings Inc NVR NVR Inc ARNC Arconic Inc GPS Gap Inc EQIX Equinix Inc ULTA Ulta Beauty Inc TTWO Take-Two Interactive Software Inc M Macy's Inc NWSA News Corp Losers: FCX Freeport-McMoRan Inc WYNN Wynn Resorts Ltd COTY Coty Inc CNP CenterPoint Energy Inc ABC AmerisourceBergen Corp MRO Marathon Oil Corp ATVI Activision Blizzard Inc COG Cabot Oil & Gas Corp XRAY Dentsply Sirona Inc User inputs: COTY The data for COTY Coty Inc is the following: COTY Coty Inc OPEN: 12.78 PREV CLOSE: 12.84 VOLUME: 2,000,995 MARKET CAP: 9.580B The csv should look something like this for one entry: Losers,COTY,Coty Inc,12.78,12.84, 2,000,995, 9.580B