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Re: Something interesting please post here (Metatrader)

#345
Time Frame 5min or higher. Best time frame 15 min or 30 min.
Currency pairs: any, also gold, silver and oil.

Rules for Asctrend Matrix

Long Entry
Up arrow confirmed by all indicators in the same direction (blue bars).

Short Entry
Down arrow confirmed by all indicators in the same direction (red bars).

Exit when appears at the opposite arrow.
try first on demo
2017-04-18_132858.png
Asctrend Matrix.rar
(143.86 KiB) Downloaded 925 times
what we want: 1+1+1+1+1+1+1+1+1=9 <3
what market delivers: 1+2+8+7-4+0-5+8-4-5+1=9 :problem:

Failure is success in progress

Dr. Alexander Elder : successful trading should be a little bit boring.


Re: Something interesting please post here (Metatrader)

#346
FXchaos wrote:
Tue Apr 18, 2017 6:29 pm
bilbao wrote:
Tue Apr 18, 2017 4:49 pm


mladen :is this cci indicator?
Hi bilbao
thanks for all stuff u share here 8-)
anyway this FPS is a bad repainter :mrgreen:
yes you right :P
what we want: 1+1+1+1+1+1+1+1+1=9 <3
what market delivers: 1+2+8+7-4+0-5+8-4-5+1=9 :problem:

Failure is success in progress

Dr. Alexander Elder : successful trading should be a little bit boring.

Re: Something interesting please post here (Metatrader)

#348
mntiwana wrote:
Tue Apr 18, 2017 1:50 pm
pipmagnet wrote:
Tue Apr 18, 2017 12:40 pm
ok - don't laugh - does anyone have a simple EA that will trade on the cross of two moving averages (on candle close) that works on the new MT4 builds? Thanks in advance
Here is MLADENs "simple ma cross EA 1.01" version :)
Thank you mntiwana - always a great help - hope you didn't laugh to hard at my request. Be Well

Re: Something interesting please post here (Metatrader)

#350
Trend indicator based on artificial intelligence

I offer research system, made in the form of indicator in which to forecast the behavior of a financial instrument used machine learning methods.

This system can predict the direction of the current trend through set by the user, a period of time and to assess the accuracy of the forecast.
Works on any symbols and timeframes, provided sufficient training data (set by user). All the mathematical calculations, including training of prediction models, are produced in terminal R. a Detailed description of the research system and its parameters You can find in "Instructions for use" (attached .pdf file).
This product is the result of many hours of work by programmers, but like any research platform, it requires a lot of time spent on tests and experiments. Joint efforts it can be done faster and better. In the near future we plan to expand the functionality of the system (addition of new prediction algorithms, adding a forecast of the lifetime of the current trend and its volatility).

Classification of machine learning algorithms used in the system:

1. By appointment
· Predicting the direction of the trend the main signal (the probability up or down)
· Predicting the quality of the main signal (the probability is high, uncertainty is low)
· Predicting the direction of the trend based on the ensemble of algorithms (stacking model)

2. Type
· Extreme Gradient Boosting (xgboost)(xgboost.readthedocs.io/en/latest/)
· andom Forest (rf)(ru.wikipedia.org/wiki/Random_forest)
· C5.0 algorithm (C5) (ru.wikipedia.org/wiki/C4.5)
· DeepBoost algorithm (deepboost) (research.google.com/pubs/pub42856.html)
· Multivariate Adaptive Regression Spline (earth) (en.wikipedia.org/wiki/Multivariate_adaptive_regression_splines)
class_files.zip
(229.65 KiB) Downloaded 505 times
Instruktsia_po_ispolzovaniyu_KT.pdf
(191.97 KiB) Downloaded 647 times
.....png
If I fail, I'll start over .... (madness?)


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