The Practical Fractal: The Holy Grail to Trading by Bill Williams PhD of Profitunity Trading Group is a 20 year old video from a talk Bill gave after writing...
I have a question on this subject. I hope to write as clearly as possible.
I have been trading with neural networks (LSTM, to be precise) and when I trained them, the data was normalized.
But if the data is normalized, should I normalize it every time I perform live operations? I currently do it, but now I have my doubts about
whether it is a good idea or not.
I mean ... if the data is normalized every time a new candle is formed, every time the values would be different because I am adding a new
candle, and if it is normalized, then the candle that had a value of 1 (for example ) could not have it anymore. Isn't there an
inconsistency?
Fractal indicator by Bill Williams are just one of many technical indicator freely available nowdays.
It is based on reapting pattern but not based on Fratal Wave itself.
Peak Trough Analysis (or Peak Trought Transformation) is the Fractal transformtion that turns entire price series into Fractal
pattern helping us to make advanced prediction on financial market.
Never confuse Fractal Indicator by Bill Williams with Fractal geometry research done by Benoit Mandelbrot.
If you want to go for more advanced market prediction, I will recommend to study Peak Trough Analysis that brings most of mathematical
algorithm opened by Benoit Mandelbrot including Fractal Dimension described here.
Since it is easier to use Fractal Indicator, you might study this first. Then study Fibonacci Retracement and Expansion. Then use Peak Trough
Analysis finanally. Then it would open up new trading strategies using price action and patterns.
Never stay in th fractal indicator forever if you want to become more serious trader.
Must move on to more advanced Peak Trough Analysis soon or later.
The Mandelbrot set is the set of complex numbers for which the function does not diverge when iterated from , i.e., for which the sequence , , etc., remains bounded in absolute value. Mandelbrot set images may be created by sampling the complex numbers and testing, for each sample point , whether the sequence f c ( 0 ) , f c ( f c...
I have a question on this subject. I hope to write as clearly as possible.
I have been trading with neural networks (LSTM, to be precise) and when I trained them, the data was normalized.
But if the data is normalized, should I normalize it every time I perform live operations? I currently do it, but now I have my doubts about
whether it is a good idea or not.
I mean ... if the data is normalized every time a new candle is formed, every time the values would be different because I am adding a new
candle, and if it is normalized, then the candle that had a value of 1 (for example ) could not have it anymore. Isn't there an
inconsistency?
I am not an expert on the subject.But as far as I know you should normalize your data(z
score,mini max etc..) and neural network should predict the percentage change of the price
series. .
The Artificial Intelligence is increasingly covering various aspects of our life. A lot of new publications appear,
stating that "the neural network was trained to..." However, artificial intelligence is still associated with something
fantastic. The idea seems to be very complicated, supernatural and inexplicable. Therefore, such a state-of-the art
miracle can only be created by a group of scientists. It seems that a similar program cannot be developed using our home PC. But
believe me, it's not that difficult. Let us try to understand what the neural networks are and how they can be applied in
trading.
in lower time frames the fractals of higher TF are actually the peaks and troughs
yes they are but you don't trade them as reversals in the Chaos Trading System
https://www.youtube.com/watch?v=bNxt298VVOwI have a question on this subject. I hope to write as clearly as possible.
I have been trading with neural networks (LSTM, to be precise) and when I trained them, the data was normalized.
But if the data is normalized, should I normalize it every time I perform live operations? I currently do it, but now I have my doubts about whether it is a good idea or not.
I mean ... if the data is normalized every time a new candle is formed, every time the values would be different because I am adding a new candle, and if it is normalized, then the candle that had a value of 1 (for example ) could not have it anymore. Isn't there an inconsistency?
120301
Neural Network
Neural Network: discussion/development threads
Neural Network: Indicators and systems development
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Neural Network: The Books
The article
Deep Neural Networks (Part II). Working out and selecting predictors - MT5
CodeBase
fractals are not about finding peaks and troughs, you got the "Chaos Theory" trading system wrong my friend
We are not talking about Fractal Indicator by Bill Williams.
We are talking about the Fractal geometry researched by Benoit Mandelbrot, the father of Fractal Research in the world.
https://en.wikipedia.org/wiki/Benoit_Mandelbrot
Fractal indicator by Bill Williams are just one of many technical indicator freely available nowdays.
It is based on reapting pattern but not based on Fratal Wave itself.
Peak Trough Analysis (or Peak Trought Transformation) is the Fractal transformtion that turns entire price series into Fractal pattern helping us to make advanced prediction on financial market.
Never confuse Fractal Indicator by Bill Williams with Fractal geometry research done by Benoit Mandelbrot.
If you want to go for more advanced market prediction, I will recommend to study Peak Trough Analysis that brings most of mathematical algorithm opened by Benoit Mandelbrot including Fractal Dimension described here.
https://en.wikipedia.org/wiki/Fractal_dimension
Since it is easier to use Fractal Indicator, you might study this first. Then study Fibonacci Retracement and Expansion. Then use Peak Trough Analysis finanally. Then it would open up new trading strategies using price action and patterns.
Never stay in th fractal indicator forever if you want to become more serious trader.
Must move on to more advanced Peak Trough Analysis soon or later.
I have a question on this subject. I hope to write as clearly as possible.
I have been trading with neural networks (LSTM, to be precise) and when I trained them, the data was normalized.
But if the data is normalized, should I normalize it every time I perform live operations? I currently do it, but now I have my doubts about whether it is a good idea or not.
I mean ... if the data is normalized every time a new candle is formed, every time the values would be different because I am adding a new candle, and if it is normalized, then the candle that had a value of 1 (for example ) could not have it anymore. Isn't there an inconsistency?
I am not an expert on the subject.But as far as I know you should normalize your data(z score,mini max etc..) and neural network should predict the percentage change of the price series. .
120301
Forum on trading, automated trading systems and testing trading strategies
How to Start with Metatrader 5
Sergey Golubev, 2020.03.12 06:42
Neural Networks Made Easy - MT5
If you have medical database or sales database or whatever with seasonality and trends you can use all the ML you want.
Markets have not even 1 chance to be tamed and 'learned' by AI, simply because THERE ARE NO PATTERS.