Skip to content

tjablin/wash-sale-tracker

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

40 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

wash-sale-tracker

Software that calculates wash sale adjustments for US taxes.

Note that the author is not a CPA or tax expert. This program most certainly contains bugs.

This script is inspired by adlr/wash-sale-calculator, but rewritten so that the author could reason about how the replacement lots were being chosen. It also includes keeps track of some additional fields, like the original basis and buy date, to make it easy to correlate the output with a 1099-B.

Dependencies

The script runs best in interactive mode if these two dependencies are installed:

Running

To use the program from a terminal, run:

python2 wash.py -w dummy_example.csv -o out.csv

The csv file must have one buy or buy-sell trade per row. Each row must have all of the following columns, but the optional ones can remain blank:

Column Header Type Description
Num Shares Integer The number of shares in this lot.
Symbol String Stock symbol. This is unused by the script, as all lots fed into the script are considered substantially identical.
Description String An arbitrary description of this lot.
Buy Date Date (mm/dd/yyyy) The date that this lot was actually bought.
Adjusted Buy Date Date (mmdd/yyyy) Optional. The adjusted buy date of a loss. Provided by the output.
Basis Integer The number of cents for the cost basis of this lot.
Adjusted Basis Integer Optional. The number of cents of the adjusted cost basis of this lot. Provided by the output.
Sell Date Date (mm/dd/yyyy) Optional. The date that this lot was sold.
Proceeds Integer Optional. The number of cents that this lot was sold for.
Adjustment Code String Optional. Will be W if the lot is adjusted for a wash sale.
Adjustment Integer Optional. The number of cents of this lot's disallowed loss.
Form Position String Optional. This field is used as a tertiary sorting value, but is primarily used to associate lots before and after the script is run.
Buy Lot String Optional. Generally can be left blank. If two lots were acquired as part of the same buy order, put the same value here. This may occur if you bought a lot of stock, then sold off the lot in pieces (each piece would get a new line on the 1099b); if the broker automatically divided your buy order into pieces to execute; or if other factors caused the broker to split one buy lot into multiple lines on the 1099b. (This field is used because shares from a given buy lot can't replace shares from the same buy lot in a wash sale).
Replacement For String Optional. A list of strings, separated by a | character, of buy lots that this lot is a replacement for. Populated by the script.
Is Replacement Boolean (the strings true/false) Optional. True if the lot was used as a replacement lot.
Loss Processed Boolean (the strings true/false) Optional. True if the lot is a loss and has been processed.

Notes

It could be possible for a wash sale to cause losses to travel backwards in time, potentially for multiple years, if a replacement lot is sold before the loss is sold. This software does not account for this, and allows the loss to travel backwards in time.

If multiple lots are bought on the same day and sold on the same day (though the buy and sell dates may be different), this software will not use a lot as a replacement lot if the loss replaced that same lot. Specifically, say there are 2 lots of size 10 and 6 shares, named A and B. The 10 A shares would be split into 6 and 4 shares, and the 6 A shares would be replaced with the 6 B shares. The 6 B shares will not then be split into 4 shares and 2 shares with the 4 B shares replaced with the 4 A shares.

Contributing

If you commit changes to this software, make sure all tests are passing. To verify that all the tests pass:

python2 lots_test.py
python2 wash_test.py
python2 run_integ_tests.py

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 100.0%