Unlimited cryptocurrency market data push from Bitmix exchange

(Last Updated On: September 11, 2018)

 

As you know, there is a cap on the requests to a Binance server for market data. This was suggested for Bitmex which appears not to have such a limit. This was from a Meetup last night which was mentioned. Thanks to this person for the suggestion,

And the solution is

Here is the underlining webservice stream which the Detla server uses from Bitmex to stream the trade/quote data without hitting the rate limit.  I think this is what James was pointing out.
https://www.bitmex.com/app/wsAPI#Subscriptions
If I am not mistaken, this results in a complicate Python dict data structure. Understand this is not an easy object to work with. All you need to do is search on Google for a term related around ‘dict within dict’ to find a solution. This took me a number of hours to figure out.
https://quantlabs.net/blog/2018/08/coding-deep-learning-beginners-using-oanda-test/

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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 youtube.com/quantlabs