Debate of Torch Lua vs Tensor Flow Keras for ultimate machine learning
There seems to be a debate of these two frameworks:
1. Redis 4 with Neural module and embedable Lua scripts make this combo ultimate fast with no latency unlike TensorFlow as a bloated framework.
2. TensorFlow is accused of being slow so you can compare by searching online for it.
3. Will Torch in Lua be much faster than TensorFlow in Python? Apparently a big yes from the Reddit postings I have seen. It is just not as mature which means migrating a potential model into a live trading environment might not be so easy from TensorFlow. This is the issue I face.
What to do?
As I approach a more serious deeper machine learning investigation, I will see where everything is at then which could be a couple of more months. Torch may be more mature with better integration with Redis.
It might be best to use the potential Redis TensorFlow module combo but that seems premature. Find the link below. I will wait it out to see how this Redis module develops.
Quandl posted their marketing guide on ultimate trading data sources. When you read the list, you would easily be overwhelmed but there is a great detail amount of data that you could use. The only issue I have with Quandl it gets very very expensive when you want to use a larger amount of their premium databases.
If you ask me, I always go back to IQFeed where they offer the biggest US exchanges for monthly historical and real-time data. I would think they are much more affordable as compared to Quandl. In fact, some of my older source code demos will show you how to effectively/efficiently use both tick and bar data. You would literally save thousands upon thousands of dollars using these methodologies. I just got to figure a way to connect into their Windows environment from my Ubuntu Linux.
Are you like me where you get easily overwhelmed by all these books, courses, videos of artificial intelligence/machine learning/quant analysis? Every time I receive one of these notifications, I feel my brain is about to fall out. I just get overwhelmed where I feel like I’m going into some mode of paralysis by analysis.
As I mentioned above, there’s so much “legacy” video demos with source code to get you up and running for any Windows-based automated trading system. As you know about my current Algo Trading course series, I’m actively teaching people about offering the basic mechanics to build an automated trading system all done in Python. We are about halfway through the first trading strategy so I’d encourage you to sign up before it all disappears permanently.
Less than 24 hours away for those lucky or daring souls who want to delve into the deep math madness of quant and technology maze called automated trading. I got 15 spots reserved at our fave local hideaway over at North York’s Milestones at Empress Walk. Be there or be square.
I have confirmed what could be a really good online Meetup webinar with a soon to be a legend who you may or may not know, Chris Reeves. I have included his Youtube channel which is growing like those unwanted roaches. You get the idea but it happens this Weds nite at 7 PM EST. More details here:
In coming weeks, I am hoping to have the end to end solution of visually developing models in Simulink which can be implemented into Deltix built strategies. Here are my thoughts, both Matlab and Deltix are the next productive tools to get your strategy development done with a world class trading system. This will be the future of trading without a doubt but get the edge now:
For my QuantLabs.net Premium Members are on the front line how to learn all this. I am providing exclusive videos with samples source files including Simulink trading models, Stateflow charts, code generated C/C++ source code files, and exclusive LIVE webinars. One is coming up next week so jump on the bandwagon like other PROFITABLE ‘in the know’ traders are: