robinhood-to-xlsx

Environment

You are going to need / want to use

• Python - I use 3.7.2
• pip (pip3 w/ python3)
• Virtualenv - I use 16.4.3

Installation

After forking or cloning

unix

$ cd path/to/robinhood-to-xlsx
$ virtualenv venv
$ source venv/bin/activate
(venv) $ pip3 install -r requirements.txt

pc

$ cd path\to\robinhood-to-xlsx
$ virtualenv venv 
$ venv\scripts\activate
(venv) $ pip3 install -r requirements.txt

Credentials file

Create credentials.py and copy this using the instructions below

# your credentials
username = "" # Your robinhood username or email
password = "" # Your robinhood password

# should also be generated, but needs to be found for now
device_id = "" # Your device id in the headers

• (venv) $ touch credentials.py - for unix users otherwise manually create the file
• Update username="yourusername", password="yourpassword"
• Log in to robinhood and open up the inspector (cmd+opt+i on mac)
• Type document.cookie in the console and copy your device_id
• Update device_id="your-device-id" in credentials.py

Running the app

(venv) $ python3 app.py

Two choices follow

• json
• xlsx

Getting your history - json

When you want to get the most up to date history, select json and then any of the selections from the checkboxes.

Generating excel files - xlsx

When you want to generate an excel file from the json you have stored, select xlsx and then any of the selections from the checkboxes.

You can press the space bar and select as many as you want. When you're ready, press enter to run.

What's this for?

This will allow you to easily download your history from robinhood and export it to a xlsx file, all for easy viewing.

When exported, it will have aggregated data such as total P/L.

Of course, you will be able to amend the file to your liking afterwards as well. You can even adjust the controller files & settings.

Database

I'm using sqlite3 which is a module included in the standard python library. There are 5 tables that are created in robinhood.db. Two of the tables hold instruments and option_instruments. When data is fetched, we store the data these instruments contain. They provide valuable data such as strike_price when looking at options. There is a also a splits table that we use to calculate total P/L on orders.

To prevent us from making unnecessary requests, we cache the data these instrument urls fetch and insert rows into our local DB. When we attempt to fetch our history multiple times, we instead fetch the instruments from robinhood.db.

If you wish to grab the most up to date instrument data, simply delete the respective tables or delete the robinhood.db file.

Splits

As far as I can tell, Robinhood doesn't provide split information on stocks when buying and selling shares. Instead of adding an API to force people into using, I've created a dump of stock history on the top 100 stocks as of 09/20/2020, according to Robinhood. When pulling history from orders, it will automatically create the splits table and insert these rows. There's a file called splits.sql in the sql folder. You can add rows to this file for tickers I've missed. I could also add more in the future if requested.

Stock splits resulting in fractional shares don't get added to total P/L. I don't have access to the stock price on split at this time. I could work this in to a later version.

I'm aware of the endpoint that handles option contract splits and I haven't implemented it yet.

Schemas

You can see all of the fields available to include, by looking in the schema folder and then the respective entity.

Settings

The settings.py file contains what data the excel file will contain. For example, if you would like to include more information in the export to dividends, all you need to do is adjust selected_keys_dividends. Same goes for if you would like to remove a column. You can also adjust the width of the columns by adjusting the width field for each respective dict.

Formulas

After all of the rows get written, the formulas that are assigned in the respective files get executed. These are located in the formulas folder. Any other aggregate data that you would like to display will go here.

Devices on your account

When using this app, your account's devices will update and look something like this.

Contributing

• @kfchou - tons of testing and providing great datasets

Feel free to leave a pull request, or raise issues for any topic you may have.