RH Profit and Loss

A Python script to get a look at your trading history from trading options and individual equities on Robinhood: calculate profit/loss, sum dividend payouts and generate buy-and-hold comparison.

UPDATE 2020-01-21: This code is so bad I almost want to delete it from my GH, but it works - and I've seen it get some attention so I'm pushing this small update to make it usable (at least until RH changes their API again). Thanks to @nikhilsaraf who forked it and fixed the auth'ing problem.

Features

• Calculate individual equities' trading pnl, dividends received, options trading pnl
• Export CSV files with individual trades and other info
• Export pickled dataframes
• Specify date range to compare over
• Print percent pnl

Download the repo

From the command line:

git clone git@github.com:trevorwelch/rh-profit-and-loss.git
cd rh-profit-and-loss

Run it, run it

First, grab an oauth token from your browser

• Navigate to Robinhood.com, log out if you're already logged in.
• Right Click > Inspect Element
• Click on Network tab
• In the "Filter" text entry, type "token"
• With the network monitor open, login to Robinhood
• You will see a few JSON files, find the one that has 'access_token' in the return, and copy that whole string

Run with defaults (this will process your full account history, starting from your first trade):

python3 get_profit_and_loss.py --username <username> --password <password> --access_token <longtextblob>

For example:

python3 get_profit_and_loss.py --username 'timmyturtlehands@gmail.com' --password 'LovePizza!11one' --access_token <longtextblob>

You'll see output like:

From November 4, 2018 to today, your total PnL is $486.45
You've made $390.1 buying and selling individual equities, received $16.35 in dividends, and made $80.0 on options trades

Run it and utilize other features

See how your portfolio performed over a specified date range

Specify --start_date and --end_date args

For example:

python3 get_profit_and_loss.py --username 'timmyturtlehands@gmail.com' --password 'LovePizza!11one' --access_token <longtextblob> --start_date 'July 1, 2018' --end_date 'August 1, 2018'

Export CSV files for further exploration

Use the --csv flag

The script can output a number of CSV files:

• pnl_df.csv shows your profit-and-loss per ticker, and any dividends you've been paid out (dividends are not summed into net_pnl)
• divs_raw.csv is the full data dump of your dividend history (and future dividends)
• orders.csv contains all of your individual buy and sell orders (including orders that didn't execute)
• options_orders_history_df.csv contains a simplified record of your options activity

For example:

python3 get_profit_and_loss.py --username 'timmyturtlehands@gmail.com' --password 'LovePizza!11one' --access_token <longtextblob> --csv

Export dataframes as pickles for further exploration:

Use the --pickle flag

Similar exports to the CSV section, but as pickled dataframes which can be loaded directly into pandas for further exploration like so:

import pandas as pd
df_pnl = pd.read_pickle('df_pnl')

# Find worst ticker and best ticker, dataframe is already sorted by net_pnl
best_ticker = df_pnl.iloc[0].name
best_ticker_pnl = df_pnl.iloc[0].net_pnl
worst_ticker = df_pnl.iloc[-1].name
worst_ticker_pnl = df_pnl.iloc[-1].net_pnl

print("Your best individual equities trade over this time period was with {}, with ${} in gains".format(best_ticker, best_ticker_pnl))
print("Your worst individual equities trade over this time period was with {}, with ${} in gains".format(worst_ticker, worst_ticker_pnl))

For example:

python3 get_profit_and_loss.py --username 'timmyturtlehands@gmail.com' --password 'LovePizza!11one' --pickle

Example command with custom options chained together

python3 get_profit_and_loss.py --username 'timmyturtlehands@gmail.com' --password 'LovePizzaFhdjeiw!22222' --start_date 'July 1, 2018' --end_date 'November 10, 2018' --starting_allocation '5000' --csv

Requirements

numpy
pandas
requests
six

other notes and 'bibliography' ;)

• Includes unrealized gains (so, positions you haven't closed yet / stocks you haven't sold yet)

• The symbols_and_instruments_url is a lookup table that provides RH's internal instrument ids for symbols, and vice versa, which are needed to interact with the API. By saving and updating this pickle, you reduce the amount of requests you make to the RH API.

• Special thanks to everyone who maintains the unofficial RH Python library, of which a heavily modified, out-of-date version is included in this repo (https://github.com/Jamonek/Robinhood)

• Some of the order history code is borrowed from (https://github.com/rmccorm4/Robinhood-Scraper/blob/master/Robinhood/robinhood_pl.py)