robin-stocks 0.9.9.0

A Python wrapper around the Robinhood API

Robinhood API Library

Introduction

This library aims to create simple to use functions to interact with the Robinhood API. This is a pure python interface and it requires Python3. The purpose of this library is to allow people to make their own robo-investors or to view stock information in real time.

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Installing

There is no need to download these files directly. This project is published on PyPi, so it can be installed by typing into terminal (on Mac) or into command prompt (on PC):

pip install robin_stocks

Also be sure that Python 3 is installed. If you need to install python you can download it here <https://www.python.org/downloads/>. Pip is the package installer for python, and is automatically installed when you install python. To learn more about Pip, you can go here <https://pypi.org/project/pip/>.

Functions Contained

For a complete list of functions and how to use them, go to robin-stocks.com <http://www.robin-stocks.com/en/latest/functions.html>_.

Example Usage

When you write a new python script, you'll have to load the module and login to Robinhood. This is accomplished by typing

import robin_stocks as r login = r.login('[e-mail]','password')

Not all of the functions contained in the module need the user to be authenticated. A lot of the functions contained in the modules 'stocks' and 'options' do not require authentication, but it's still good practice to log into Robinhood at the start of each script.

The code provides a lot of ways to view information about your Robinhood account. One way in particular is to type

my_stocks = r.build_holdings()

This will build a dictionary called "my_stocks" where the keys are the ticker symbols of all the stocks you hold, and the values of those keys are another dictionary containing important information about the stocks. If you then wanted to print this dictionary, you could type

for key,value in my_stocks.items(): print(key,value)

There is also the ability to buy and sell stocks. For example, if you wanted to buy 10 shares of Apple, you would type

r.order_buy_market('AAPL',10)

and if you wanted to sell half your Tesla stock if it fell to 200.00 you would type

positions_data = r.get_current_positions() TSLAData = [item for item in positions_data if r.get_name_by_url(item['instrument']) == r.get_name_by_symbol('TSLA')][0] sellQuantity = float(TSLAData['quantity'])//2.0 r.order_sell_limit('TSLA',sellQuantity,200.00)

If you want to view all the call options for a list of stocks you could type

optionData = r.find_options_for_list_of_stocks_by_expiration_date(['fb','aapl','tsla','nflx'], expirationDate='2018-11-16',optionType='call') for item in optionData: print(' price -',item['strike_price'],' exp - ',item['expiration_date'],' symbol - ', item['chain_symbol'],' delta - ',item['delta'],' theta - ',item['theta'])

Keep in mind that the functions contained in the library are just wrappers around a functional API, and you are free to write your own functions that interact with the Robinhood API. I've exposed the get and post methods so any call to the Robinhood API could be made. The syntax is

url = 'https://api.robinhood.com/' payload = { 'key1' : 'value1', 'key2' : 'value2'} r.request_get(url,'regular',payload)

The above code would results in a get request to https://api.robinhood.com/?key1=value1&key2=value2 (which is a meaningless request). RobinHood returns most data as { 'previous' : None, 'results' : [], 'next' : None}, where ‘results’ is either a dictionary or a list of dictionaries. If a particular query returns more entries than can be stored in 'results', then those will be stored in 'next', which is simply a url link to the next set of data. Keep in mind that RobinHood will sometimes return the data in a different format. To compensate for this, request_get takes either 'regular', 'results', 'pagination', or 'indexzero' as the second parameter. In most cases, you want to use 'pagination' to get all the results.

New Features In The Works

• CryptoCurrency Trading
• Trading using TD Ameritrade