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Robinhood

WARNING!!

This API is no longer suitable for fully-autonomous trading strategies. Robinhood has required a 2FA. This API can be run from the console, where the user will have to input an SMS code sent to their phone. After logging in, the SMS code expires after 24 hours. In theory, one could trade with an algorithm if they signed in with the console at the beginning of the trading day.

Join the chat at https://gitter.im/J-Robinhood/Lobby Python Framework to make trades with Robinhood Private API. See this blog post.

Current Features

  • Placing buy orders (Robinhood.place_market_buy_order and Robinhood.place_limit_buy_order)
  • Placing sell order (Robinhood.place_market_sell_order and Robinhood.place_limit_sell_order)
  • Fetch and cancel orders (Robinhood.order_history and Robinhood.cancel_order)
  • Quote information (Robinhood.quote_data)
  • User portfolio data (Robinhood.portfolios)
  • User positions data (Robinhood.positions)
  • More coming soon

How To Install:

pip install .

Converting to Python 3

Project will work on both python 2 and python 3

How to Use (see example.py)

from Robinhood import Robinhood
my_trader = Robinhood()
logged_in = my_trader.login(username="USERNAME HERE", password="PASSWORD HERE")
stock_instrument = my_trader.instruments("GEVO")[0]
quote_info = my_trader.quote_data("GEVO")
buy_order = my_trader.place_market_buy_order(stock_instrument["url], "GEVO", "GFD", 1)
sell_order = my_trader.place_market_sell_order(stock_instrument["url"], "GEVO", "GFD", 1)

Data returned

  • Quote data
    • Ask Price
    • Ask Size
    • Bid Price
    • Bid Size
    • Last trade price
    • Previous close
    • Previous close date
    • Adjusted previous close
    • Trading halted
    • Updated at
    • Historical Price
  • User portfolio data
    • Adjusted equity previous close
    • Equity
    • Equity previous close
    • Excess margin
    • Extended hours equity
    • Extended hours market value
    • Last core equity
    • Last core market value
    • Market value
    • Order history
    • Dividend history
  • User positions data
    • Securities owned
  • News

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