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Crypto currency still doing well!
We continue with double digit daily returns in crypto curency trading as bitcoin moves. There have been only 2 days less than 10% daily returns. I also talk about the future of CFD and forex being useful. All data comes from Oanda where the crypto comes from Binance.
Merry Xmas to all but #crypto #market not so strong today
Another Facebook Live video went up earlier today. The results for overnight trading was not as strong at 0.40 % up in crypto trading. The win ratio was still 100% with only 2 positions. I wonder if this will be the repeat if I keep this running through this evening, it will add anoth %10 roughly like a few days ago. Exciting stuff indeed but we ain’t losing
I am looking at aroundDec 27 to double or triple the current price. It starts LIVE Jan 7/2019 so which is for question and answer only. The faster you get on this, the faster you will have a running platform platform with source code you own.
Sheesh… this ia time a waster as well as not a proper use of your capital deployment. You should always focus on where max opportunities will be. Remember this log is from the data form Oanda with both CFD and Forex. Now we have to look toward crypto on Binance for that. As a result, I shall do that as explained in this Facebook live stream.
P.S. I you want to trade the real deal instead of CFD, trade options/futures on Interactive Brokers. AS we know, that is big boy games where you better know how to pony up some cash.
NOTE I now post myTRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!
Facebook will be pushing out a new version of PyTorch It seems to be the second most popular machine learning framework out there. It include Python machine learning native code.
Torch Script works one of two ways. New code can be written using the Torch Script language, which by design can compile readily to native code. It’s also possible to take existing Python code, decorate it with the @torch.jit.trace decorator, and have it just-in-time compiled to native code. However, this is not as effective as using Torch Script….
Another commonly used package, Cython, allows Python to be turned incrementally into C by way of custom syntax declarations. Cython can work with the whole range of Python and C types alike, as well as all of Python’s syntax, but Torch Script is restricted to operations on PyTorch tensors, integers, and floating-point numbers. And Torch Script can’t use constructions like exceptions.
Maybe I should I just stick with Tensor Flow 2 coming out in Dec or Jan? It seems to be gaining more popularity vs PyTorch. It should be just as easy to work with for us newbies.
I question the future
I would also like to predict this PyTorch scripting language may be tough to see in the long term. That is is of course with ‘let’s abandon everything’ Microsoft hat on.