A new version of the parabolic SAR indicator with enhancements and user appreciation

Mladen Rakic 2016.09.06 17:56 #261

New version of parabolic SAR of Kaufman AMA with 7 types of display now

Files:

Parabolic SAR of KAMA 2.2.mq4 24 kb

Mladen Rakic 2016.09.06 19:24 #262

An issue when in multi time frame mode and interpolation required solved in this version

Files:

Parabolic SAR of KAMA 2.3.mq4 24 kb

Melajah_Forex 2016.09.30 05:47 #263

mladen:

Here is the histo version

Oh Man thank you so much

You make my day

whisperer 2016.10.11 03:52 #264

ramjan696:
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Joseph Davy 2016.11.15 10:31 #265

mladen:

An issue when in multi time frame mode and interpolation required solved in this version

Hi mladen

Any possibility of turning this indicator (parabolic sar of kama 2.3.mq4) into an Expert Advisor. To be used to exit a trade once in a trade?

Regards Joe

Mladen Rakic 2016.11.17 18:03 #266

Upgraded version of parabolic sar of Kaufman ama

PS: just to remind that that indicator can have two different values as a criteria for the SAR trend, not just one

Files:

Parabolic SAR of KAMA 2.4.mq4 24 kb

Gway 2016.11.17 20:20 #267

mladen:

Upgraded version of parabolic sar of Kaufman ama

PS: just to remind that that indicator can have two different values as a criteria for the SAR trend, not just one

If we can have a mt5 version that would be a very wonderful thing :)

John Seekers 2016.11.27 12:56 #268

This paper proposes the possibility which the fuzzy theory can be used to improve the performance of the parabolic SAR(Stop-And-Reverse) indicator in the trading systems for stock market. The simulation results with data of the KOSPI 200 future show that the occurred number of trading signals and the false signals in the proposed fuzzy SAR indicator is less than that in the conventional SAR indicator. In the conventional SAR system, the incremental value of the acceleration factor is usually setted as 0.02 and the maximum value of the acceleration factor is usually limited as 0.2. But in the proposed fuzzy SAR system, the incremental value and the maximum value of the acceleration factor are automatically adjusted by using the fuzzy rules, which are designed based-on the difference between short-term moving average and medium-term moving average and also based-on the slope of short-term moving average.

Files:

A Study on the Automatic Adjustment of the Parabolic SAR by using the Fuzzy Logic.pdf 580 kb