You are going to need / want to use

• Python - The version of python that I use is 3.7.2
• pip (pip3 w/ python3)
• Virtualenv - I use version 16.4.3

After forking, cloning into wherever

$ cd to/wherever/it/is
$ virtualenv venv
$ source venv/bin/activate
(venv) $ pip3 install -r requirements.txt

$ cd to\wherever\it\is
$ virtualenv venv 
$ venv\scripts\activate
(venv) $ pip3 install -r requirements.txt

Create the file and have it look like 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

(venv) $ python3 app.py

Two choices follow

• json
• xlsx

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

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.

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.

I'm using sqlite3 which is a module included in the standard python library. There are 4 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.

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 data 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.

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

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.

After all of the rows get written, the forumlas that are assinged 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.

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

• @kfchou - tons of testing and providing great datasets

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