Interactive Brokers Python API Native A Step-by-step Guide

By | September 9, 2021

Since the ask price is part of the default dataset returned, we don’t need to specify a tickType. You can run the code snippet below to get a full list of all the tickTypes available. To get the latest ask price of a stock, we create a contract object defining the stock’s parameters.

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Make sure you change the socket port number in the function app.connect if needed. The number beside the socket port is a client id used to identify your script to the API. The EWrapper class provides an interface for handling responses (described as ‘errors’) from the IB server.

can either be done using the standard write to file method in Python, or by
using a built-in method in the Pandas Library. Obtaining historical data is very similar to retrieving the latest ask price. The difference is that reqHistoricalData is called rather than reqMktData.

Hashes for ib-0.8.0.tar.gz

To find out where that is, use the following code in your terminal. All the code examples in this article utilized version 9.76 of the IB Python native API, which is the most recent stable version as of June 01, 2020. If you’re following along with this code example, you will have to change the option expiry if you’re reading this after October 2, 2020.

  • Subsequent to the initialisation of both of the parent classes the connect native method is called with the appropriate connection parameters.
  • This article is a continuation in a series of Interactive Brokers API tutorials (Part 2).
  • This ensures that it will provide the most stable and error-free connection to the IB servers.
  • Trade assets denominated in multiple currencies from a single account.

Once completed, navigate over to the directory that you specified in the installer and drill down to this directory – /TWS API/source/pythonclient. In this folder, run the python3 install file to install the API as a package. The IB Python native API is officially developed and maintained by Interactive Brokers.

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Now that we’ve finished our class functions, let’s move on to the main script. This way we can check later on if the variable has a value to confirm our data has arrived. The last method involves using a third-party library called TA-Lib. Several brokers use this library in their custom charting software and it is quite popular. While the original library is not available in Python, a wrapper is available to allow Python users access.

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It will return a contract with the ConID already filled in. Along with that, we have some of the same imports used in prior examples to create a contract and an order object. We will highlight an advanced order type in the next example where we will show how to execute a trade in Apple (AAPL) once Google (GOOG) has crossed a certain price point. We can also use this built in function to confirm a connection as this order id gets sent out as soon as a connection is made. Lastly, if Streaming is set to True, it will keep updating price bars every five seconds (even if the candle has not closed).

We now have the ability to process certain responses from the IB server. The next task is to actually send messages to the IB server. Error formats the provided error codes, along with the error message, into an appropriate string format that is then placed onto the _errors queue. This method is utilised to provide better debug information on the console when executing code against the API. Get_error attempts to retrieve an error message from the queue, with a prescribed timeout in seconds.

Lastly, we’ve added a 0.1 second sleep to very briefly pause the script after each check. This is to avoid our CPU’s going into overdrive while executing an infinite loop. Recall that the function returns a True boolean value if a trade is executed? If that happens, the script will break out of the infinite loop and end. The above code is an infinite loop that calls the check_for_trade function to see if a 5% deviation has taken place, and execute a trade if it has.

Next, we have created a custom function for requesting contract details. To access it, we have to pass through a reqId and the contract that we are requesting details for. For this reason, we’ve enabled some error checking that tells the script to wait for an order id early on in our script to ensure we are in fact connected.

All that’s left now is to add the condition to an order and submit it. The trigger method that we want to use is the last price that GOOG traded at. There are several other types of conditions that you can create and this is where you declare which one you are after. Therefore, we used our custom get_contract_details function to update the Google contract and not the Apple contract. You can get this id by searching the IB Contract and Symbol Database. But a much easier way is to use the reqContractDetails functions of the API.

Make sure to select API version 9.73 or higher as anything
prior to that does not have the Python source files needed. It utilizes asynchronous methods to communicate with the native API to increase efficiency. It also simplifies the process of receiving data from the API. On the other hand, code wrappers and libraries like IBridgePy or IbPy are developed by third-parties and are not officially supported by IB.

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