Индикатор Форекс Trend Cf

индикатор форекс trend cf

&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;. &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;.

&#; &#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; 5 &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#; &#; &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;. &#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;, &#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;.

&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; (Moving Average)

&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; — &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;. &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;. &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; — &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; (&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;).

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&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;, &#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;. &#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;, &#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;.

&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#; &#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;.

&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; (Bollinger Bands)

&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; — &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;.

&#;&#;

&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;, &#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;. &#;&#; &#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;.

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&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#; (RSI)

RSI — &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;. &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#; &#;&#; 0 &#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;.

&#;&#;

&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; RSI &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#; &#;&#; &#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;.

&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#;&#; &#;&#;&#;, &#;&#;&#;&#;&#; &#;&#;&#;&#;&#; RSI &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; 30, &#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;. &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;.

&#;&#;&#;&#;&#;&#;&#;&#;&#; ATR

&#;&#;&#;&#;&#;&#;&#;&#;&#; ATR — &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;. &#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; — &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;.

&#;&#;

&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#; ATR &#;&#;&#;&#; &#;&#;&#;&#;&#;.

&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#; ATR &#;&#;&#;&#;, &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;. &#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;, &#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;.

Parabolic SAR

&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; — &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;. &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#; &#;&#;&#;.

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&#;&#;&#;&#; &#;&#;&#;&#;&#; Parabolic SAR &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;, &#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;. &#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;&#;&#;, &#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;. &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;.

Parabolic SAR &#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;.

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&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;&#;&#;, &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;. &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#;&#;. &#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;&#;&#;.

RSI + &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;

&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;, &#; RSI &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;, &#;&#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#; &#;&#;&#;&#;&#; &#;&#;&#;&#;&#;.

&#;&#;&#;&#;-&#;&#;&#;&#;&#; &#; &#;&#;&#;&#;-&#;&#;&#;&#;&#;&#;&#; &#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#; &#;&#;&#;&#;&#;&#;&#;&#;.

Introduction

Based on the exponential averaging method with lag reduction, this filter allow for smoother results thanks to a multi-poles approach. Translated and modified from the Non-Linear Kalman Filter from Mladen Rakic 01/07/19 eunic-brussels.eu

The Indicator

length control the amount of smoothing, the poles can be from 1 to 3, higher values create smoother results.

Difference With Classic Exponential Smoothing

A classic 1 depth recursion (Single smoothing) exponential moving average is defined as y = αx + (1 - α)ywhich can be derived into y = y + α(x - y)

2 depth recursion (Double smoothing) exponential moving average sum ywith bin order to reduce the error with x, this method is calculated as follow :

y = αx + (1 - α)(y + b)
b = β(y - y) + (1-β)b

The initial value for yis xwhile its 0 for bwith αgenerally equal to 2/(length + 1)

The filter use a different approach, from the estimation of α/β/γto the filter eunic-brussels.eu formula is similar to the one used in the double exponential smoothing method with a difference in yand b

y = αx + (1 - α)y
d = x - y
b = (1-β)b + d
output = y + b

instead of updating ywith bthe two components are directly added in a separated variable. Poles help the transition band of the frequency response to get closer to the cutoff point, the cutoff of an exponential moving average is defined as :

Cf = F/2π acos(1 - α*α/(2(1 - α)))

Also in order to minimize the overshoot of the filter a correction has been added to the output now being output = y + 1/poles * b

While this information is far being helpful to you it simply say that poles help you filter a great amount of noise thus removing irregularities of the filter.

Conclusion

The filter is interesting and while being similar to multi-depth recursion smoothing allow for more varied results thanks to its 3 poles.

Feel free to send suggestions :)

Thanks for reading

nest...

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