Tag Archives: Deep Learning

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 story 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

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

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

 

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

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/

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!

Deep Learning Promise to Bring Algo Trading For the Rest of Us

Deep Learning Promise to Bring Algo Trading For the Rest of Us

 

This was from someonne in my Facebook group:

From the same source you may like to look at:

 

Ep. 26: Deep Learning Promises to Bring Algorithmic Investing Smarts to the Rest of Us

 

When it comes to groundbreaking innovations in trading, there seems to be at work a distinct cycle of 10 years.

Trend following, statistical arbitrage, high frequency trading – they have all gone through the same cycle.

https://www.qplum.co/documents/may-2017-market-commentary

My view is that there is no simplified way of doing AI/deep learning/machine learning for algo trading. Also, the second link mentions how HFT is going out of date to be replaced by deep learning. How is that possible since deep learning must have a combo of different neural nets and industry contributions. The financial industry is more secretive and then open to share their research. The second link is definitely worth reading.

 

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Deep Learning in Trading for the next 10 years

There was an article posted on my Facebook regarding the future of machine learning. It was a high level discussion of all the evolution of where we are with how this author defines quant today. He also makes the craziest assertions of how traders and quants are not being hired. He assumes the only growth area is machine learning trading operations or AI, With the latest trading charts I have posted from Bloomberg, it is quite obvious how quant funds are struggling with human traders still outpacing computer trading. It gets even crazier when amateurs believe this type of ‘research’ papers and PowerPoint slide presentations. I just say don’t believe it.

 

Read the article here

 

For us retail traders, it is getting harder and harder for us to earn crumbs in the markets. Unless you have some special insight it may be difficult for newbies. As a result I’m quite excited to be tailoring my latest set of tools and reports for my quant analytic members. As in the past set of videos that I’ve posted, all the tools are now available for myself to start treating live with Dukascopy the Forex broker out of Switzerland. Do keep your eyes peeled on these emails as I start posting the results to my members EXCLUSIVELY.

 

Thanks for reading

Bryan

NOTE I now post my TRADING ALERTS into my personal FACEBOOK ACCOUNT and TWITTER. Don't worry as I don't post stupid cat videos or what I eat!