Write a program which will generate up-to-date performance reports for a given stock portfolio. The program will accept two arguments: an input CSV file which contains the holdings information, and, a path to output the CSV report.

computer science

Description

Stock Portfolio

This assignment will test the following skills:

  • Reading and writing to the file system
  • Making HTTP requests
  • Testing read & write operations to the disk
  • Testing HTTP requests using a mock library
  • Packaging the script using setup.py

Description

Write a program which will generate up-to-date performance reports for a given stock portfolio. The program will accept two arguments: an input CSV file which contains the holdings information, and, a path to output the CSV report.

We will use the IEX Trading API, as the market data source – it is a public (free) API.

Requirements

The program will read a CSV file containing our portfolio data. Based on this data, a new CSV report will be generated using live market value to indicate our current holding performance using the IEX API.

The program will be installable using pip, and requires a setup.py file. When installed, a binary will be added to the Python path which can be invoked from anywhere on the filesystem.

An example interaction with the script looks like this:

$ portfolio_report --source portfolio.csv --target report1.csv

Input file

The input CSV will have 3 columns (example provided).

  • symbol: the ticker symbol (e.g. AAPL is Apple)
  • units: the quantity of shares held
  • cost: the original / average purchase price of the holding

Example:

symbolunitscost
AAPL1000123.56
AMZN202001.1

Using the list of symbols from the input CSV, get quotes from IEX to fetch the latest price. This can be done in a batch request – meaning, multiple quotes can be requested in a single HTTP request. See:

Docs: https://iextrading.com/developer/docs/#tops

Example request & response

Example request: GET the latest quotes for Apple, Facebook & Snapchat:

https://api.iextrading.com/1.0/tops/last?symbols=AAPL,AMZN,SNAP

[{
    "symbol": "AAPL",
        "price": 204.29,
        "size": 100,
        "time": 1563307196175
}, {
    "symbol": "AMZN",
        "price": 2008.395,
        "size": 1,
        "time": 1563307196058
}, {
    "symbol": "SNAP",
        "price": 15,
        "size": 100,
        "time": 1563307196047
}]

Once the latest price is obtained, a series of calculations are made to establish the current performance of the portfolio: what the current market value is, the gain and loss for each holding and a percentage of change.

If a symbol listed in the input CSV is not found on the exchange, the IEX API ignores it. Your script should account for this situation by warning the user that the symbol was not found, but continue to process the rest of the valid symbols.

Output file

The expected CSV report will have the following columns

  • symbol: The stock ticker symbol (i.e. AAPL)
  • units: The amount of shares held
  • cost: The original cost per share
  • latest_price: The latest market price per share
  • book_value: The value of the shares at time of purchase
  • market_value: The value of the shares based on the latest market value
  • gain_loss: The dollar amount either gained or lost
  • change: A percentage (decimal) of the gain/loss
Sample output CSV
symbolunitscostlatest_pricebook_valuemarket_valuegain_losschange
AAPL1000123.56156.23123561562332670.264
AMZN202001.11478.194002229563-10459-0.261

Getting started

Take a modular approach to completing this assignment and build each functional component in isolation, accompanied by appropriate tests.

Here is a breakdown of isolated functional units:

  • Given a filename, read a CSV and convert it to a Python data structure
  • Build a method which returns the latest market price for holdings
  • Build methods which calculate the book value, market value
  • Build a method to convert the holding into CSV
  • Build a method that writes to the output filename.

Testing

Testing against third-party services can be challenging as they are out of our control. As developers, we must build our application with the expectation of specific behaviours from these services. Mocks (faking) are a handy way to isolate the dependency and replace it with a constant to which we can build tests. For this, we will use the requests-mock library to stub out HTTP requests.

https://requests-mock.readthedocs.io/en/latest/pytest.html

Install using pip install requests-mock.

As for writing files, use the tmp_path fixture that ships with pytest to write to temporary locations on the disk.

Make sure to update requirements.txt and include any libraries required to build this project (e.g. requestsrequests-mock) so they are available to Travis CI.

Packaging

As described above, provide a setup.py configuration to package your application. Ensure that dependencies required to run your script are included (e.g. requests)


Related Questions in computer science category