Yesterday Google fed the public’s growing interest in the
topic with a blog post introducing a study on improving quantum
computation using classical machine learning
Google sees high potential in reinforcement learning
techniques using deep neural networks for qubit control optimization.
Google researchers believe the new research will shed some
light on the possibility of leveraging new ML approaches in quantum
computation. In the wake of their quantum supremacy claim, it would seem
Google’s ambitions in this field are themselves accelerating, and could soon
lead to additional breakthroughs.
Here is an article with math stuff in it with time series. This has been a while since I sent something out. I am not sure how this will help. Maybe you can figure out it out by sending me your opinion.
Here is a summary of the article:
In this post, we covered fractional
differencing, in particular the fixed window fractional differencing variant
where we can achieve stationarity in our time series while minimizing
information loss. On time series with millions of data points, fractional
differencing can be computationally expensive, hindering rapid experimentation
or real-time deployment. We show, through RAPIDS cuDF and numba, we can achieve
100x to 10000x speed-up depending with links to various implementations from
easy (100x speed-up) to more complex (10000x speed-up).
Ok this is urgent. I am only keeping this strategy Python code
until this Monday or Tuesday. This is only days away. I really don’t want to retype
what is in this video. As a result, I would stress to watch all 20 minutes. See
this video below. It should blow your
mind ! The source I provide is available until Monday or Tues where you need to
get on the early bird list. Join on this as soon as possible:
If you want to get access to this right away, go here or get
the full details:
Here is the Buy button if you really want it:
I will cap this to 10 people over the next few days to
weeks. Also note that this is membership is set for a 3 years term. I will
reduce to a 2 year term in coming days to weeks away. Seriously…why wait?
I have decided to suspend my trading with Bitcoin for now. The positions can be skewed so badly that I trade anything else since the trades are minimal. Also, i will dedicate a new BTC/USD only bot with the trading logic which was supposed to be for the recent MT 4 EA. I expect this will not take too long to implement. Also, I will let you know when it is completed.
Don’t forget if you want to keep learning what I do for the next 3 years
As you know, with all this software to connect an email signal with Outlook, and addin, and Python script are really messy. It is also unpredictable. So I thought I would embed all the trading logic in a MT$ Expert Advisor. After getting a quote of nearly $500 USD was a whopper for something I did not even know wold work. As a result, I thought I would build it myself using a Python script from my course.
By the way, the Elite membership might be a better deal .You can sign up to my current low priced 3 year deal if you are interest. This is for the early bird deal I am announcing next week. I will keep a small cap on this as I find it too long to offer. It will be reduced to 2 years and eventually one. Sign up here to know more about it
“There is tremendous hype and very few people have a track record,” Lopez de Prado said in a phone interview. “It’s not helpful.” Finance quant of the year said
“My ambition has always been to help modernize finance and
offer disruptive solutions to investors,” he said. “The best way to do it is
with my own set-up.”
The problem is, computer-powered strategies are struggling
to live up to the hype,
His diagnosis: Fund managers are routinely throwing data at
a robot without forming a theory. If a backtest suggests investors should snap
up stocks on a given day of every month and sell them a number of days later,
only a joined-up rationale for the trade will work in live markets.
“Without this theory-ML interplay, investors are placing
their trust on either toy models or high-tech horoscopes,”
“It’s not natural in finance, right? The history of finance has been that discretionary portfolio managers used to run the place,” he said. “And these firms fitted quants as if they were discretionary PMs.”
New private #trading logic demo video for #metatrader 4 for #forex
This is combo of MT 4 indicators where you can use MQL 4 code you can download. There is more logic to take trades based on this simple combination. This will be for internal use only until it proves to be successful. It also uses Oands market data as well.
The details of this can be found on my Quant Elite membership page https://quantlabs.net/academy/new-entry-forex-trading-logic-for-metatrader-4-expert-advisor/