Interactive Brokers Python support is still useless but here is my workaround

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(Last Updated On: August 29, 2018)


I am still frustrated by the low level Python support for Interactive Brokers. Check out these current options


I find none of these 3rd party options are very good. They are not intuitive with weak tutorials. Also remember that these Python packages can be abandoned like ibPy. That is not a good future. Also I found the current native Interactive Brokers native API Python support is low level which means a lot of work. I recorded this for my Facebook Live:

The includes a comment of the API still too slow.

Note that there is $20US/month fee for accounts <$2000. Also, there is access to historical or real time data under this amount so IQFeed may be one of the options you have. Once your account >$2k, you will have access to all market data for free. This is for individual accounts so there are different fees for advisor accounts.

More criticisms

Interactive Brokers 9.72 has native Python API from algotrading

I find my course in the Elite is most predictable since I can use Redis as the message queue between my Python scripts with a Java listeners for the orders. This seems to works ok as described in my course of

Python C++ Algo Indie Trading Business Course Futures Options Algos


Introduction to Quant Elite Membership

One the positive side, the IB Trader Workstation (TWS) software has not changed in any way to support API calls.

To circumvent the data problem if you go with Interactive Brokers without the required funding level, i am revisiting IQFeed for MacOS or Linux market data.

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
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About caustic

Hi i there My name is Bryan Downing. I am part of a company called QuantLabs.Net This is specifically a company with a high profile blog about technology, trading, financial, investment, quant, etc. It posts things on how to do job interviews with large companies like Morgan Stanley, Bloomberg, Citibank, and IBM. It also posts different unique tips and tricks on Java, C++, or C programming. It posts about different techniques in learning about Matlab and building models or strategies. There is a lot here if you are into venturing into the financial world like quant or technical analysis. It also discusses the future generation of trading and programming Specialties: C++, Java, C#, Matlab, quant, models, strategies, technical analysis, linux, windows P.S. I have been known to be the worst typist. Do not be offended by it as I like to bang stuff out and put priorty of what I do over typing. Maybe one day I can get a full time copy editor to help out. Do note I prefer videos as they are much easier to produce so check out my many video at