Tag Archives: Deep Learning

DeepMind’s Loss and the Future of AI like deep reinforcement learning

Do not forget about the last few slots for the Quant Elite membership. This means you get immediate 10+ years archive plus 3 another years on what I do in the future. See the many benefits here as deep reinforcement learning.

Some may start doubting machine learning techniques like Deep Learning or Deep Reinforcement Learning. If you consider Google’s Deep Mind losing $572 million a year, many hope for the future of Artificial Intelligence will falter like this.

Here is the conclusion of this article:

https://www.wired.com/story/deepminds-losses-future-artificial-intelligence/amp

Ten years from now we will conclude that deep reinforcement learning was overrated in the late 2010s, and that many other important research avenues were neglected. Every dollar invested in reinforcement learning is a dollar not invested somewhere else, at a time when, for example, insights from the human cognitive sciences might yield valuable clues. Researchers in machine learning now often ask, “How can machines optimize complex problems using massive amounts of data?” We might also ask, “How do children acquire language and come to understand the world, using less power and data than current AI systems do?” If we spent more time, money, and energy on the latter question than the former, we might get to artificial general intelligence a lot sooner.

Could you link the relationship VIX futures with negative stock performance?

Thanks

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Build a super fast deep learning machine learning rig for under $1k

 

After talking to the quant/HFT ‘Gods’ on my private chat server, I learned a couple of things of optimal machine learning:

1. Use mid range or near end of life GPU cards to get best deal when you build machine learning rigs

2. Use data from logs like a watchlist to determine easy input and output for predictable model

3. Tensor Flow 2 should be decent and easy enough to handle all needs of a framework

I also found this article to build a rig for under $1k for all your training or simulation needs

https://www.oreilly.com/learning/build-a-super-fast-deep-learning-machine-for-under-1000

Remember you can LIFETIME access to this chat server I speak of. it is one of many benefits to you.

 

This framework course to help expedite your learning for machine learning in your trading. It is the definite future. Does your broker/exchnage support this? How about limited retail trading platform?

Python Algo Trading Infrastructure with Crypto Currency

 

 

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Top Deep Learning Tools for Python Machine Learning

The tools for winners I have spoken about for month.

This is all you need to know:

But when it comes to APIs, all roads lead to Python – the clear API of choice for deep learning tool developers. Given these trends, and announcements around TensorFlow 2.0 that bring it parity with PyTorch, expect more tools spinning off from TensorFlow with Python APIs.

Top Deep Learning Tools

Stick with the winners.

New trading bot for Kraken crypto currency exchange developed in 24 hour! How?

 

Get IMMEDIATE access to the course and Python infrastructure framework here

https://quantlabs.net/academy/python-algo-trading-infrastructure-with-crypto-currency/

Thanks Bryan

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Real-World trading Application of Deep Learning at Industrial Scale

There are some very good tips on ensuring to use clear and established indutry data. It seems you also need to apply business definitions to the your models. You think this could be applied to enterprise wide strategy with these types? I think large High Frequency Trading shops like Sigma Two implement across their own enterprise. This is the definitely the future of trading outfits.

View at Medium.com

 

 

Have you seen how crypto currency big coins have going crazy in the last hour alone!

#cryptocurrency world is going bonkers with hourly moves of #litecoin up 3.65 %#bitcoin 2.93% #ethereum up 5.94%

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Deep learning algorithmic trading? Machine learning?

As I am wanting to learn about machine learning in early 2019, I want to know a few things about your attack on it.

1. What programming language and framework are you using or learning? e.g. R vs Python, TensorFlow 1 or 2, PyTorch, SciKitLearn, etc

2. What resources are you using? e.g. which course or book

3. Which machine learning methodologies are you using? Deep learning, CNN, Neurel Net, Other Like? Why you are using this technique?

4. Have you got something implemented or using yet? If so, how are the results?

Please let me know so I can hopefully mimic your success.
Thanks Bryan

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Understand Neural Networks: neuron to RNN, CNN, and Deep Learning

If you are struggling to learn these popular machine learning concepts (eg neural networks), you may to check out this article below. It contains easy to consume chunks which include topics of:

What is a Neuron?

Step function

Sigmoid Function

Tanh Function

ReLU Function

Neural Networks

Convolutional Neural Networks (CNN)

Recurrent Neural Networks (RNN)

https://towardsdatascience.com/understanding-neural-networks-from-neuron-to-rnn-cnn-and-deep-learning-cd88e90e0a90

It helps to understand the different limitation of each math function as well.

 

Neural network AI is simple. So Stop pretending you are a genius

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Deep Learning in Finance: Most effective methods for returns and portfolio construction

It seems that deep learning has been questioned when it comes to financial modelling. A decent article came out from a WorldQuant. This Medium article covers how to improve your forecasting using both in and out samples. It also covers:

1. Return Prediction comparing ARIMA, VAR, Deep Regression, Convoluted Neural Networks, and Long Short Term Memory.

2. Portfolio Construction with deep learning and deep index.

Get more info here

Overview of backtrader with Python and GUI project

I also tried to implement a GUI Python project that sat on top of backtrader. It seems I did not get anywhere after an hour. Sorry for the spoiler alert but you can learn how to install backtrader by watching the first part of the video.

That is here with helpful links

Lastly, I have managed to put up the purchase button for my Quant Analytics service which will be frequently updated with all the Crypto Currency reports I have been working over the last few months.

Quant Analytics

Gold Price Forecasting Using Python Machine Learning

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A deep learning framework for financial time series using stacked autoencoders and long-short term memory

A deep learning framework for financial time series using stacked autoencoders and long-short term memory

Most accurate machine deep learning model type?

This appears to use LSAM and SAE (long short term memory and stacked auto encoders) which appears to be more accurate than recurrent neural network (RNN).  Do I sound like a machine learning experience here? Haha. I am way off it. This does show that this technique could be most accurate when it comes to forecasting financial time series.

Here are the links

http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0180944

Python code example https://github.com/dzitkowskik/StockPredictionRNN

https://en.wikipedia.org/wiki/Long_short-term_memory

 

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Intro Deep Learning with Python, TensorFlow and Keras

Intro Deep Learning with Python, TensorFlow and Keras

This looks like the best page to learn how to apply math to machine learning

https://sandipanweb.wordpress.com/2017/11/25/some-deep-learning-with-python-tensorflow-and-keras/amp/

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Deep learning for bond pricing 

Deep learning for bond pricing

This could be good for deep recessions unless the nut bars at ECB love those negative rates

https://www.linkedin.com/pulse/deep-learning-neural-networks-bond-pricing-gaurav-singh/

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