OPEN-SOURCE SCRIPT

[A618] Liquidity Levels Based OBV SR with KAMA

We all know OBV plays a very important role in figuring out price volume divergences and it can help anyone analyse the directivity force of the market and has a very good tradeoff if applied correctly

In this Experiment i have derived liquidity levels for OBV using volume jumps inside the market

A volume jump is classified as:

Good Volume Jump = 1.618 times the Average Volume (WMA or 2pole ButterWorth's Filter of Volume)
Great Volume Jump = 2 times the Average Volume (WMA or 2pole ButterWorth's Filter of Volume)
Extreme Volume Jump = 3 times the Average Volume (WMA or 2pole ButterWorth's Filter of Volume)

So the horizontal levels which you see on the indicator (colored in red/ blue / gray lines) are the derived Liquidity Levels for OBV in the Market, these are the levels where OBV is most likely to perform a movement or come back

Also I have applied KAMA indicator on top of OBV for better Directive guidance, as of my experiments KAMA seems to be most stable and consistence of all the other moving averages,

KAMA's Length inculde:

KAMA - 8
KAMA - 34
KAMA - 200


Hope this Script help you guys!
Thanks to Tradingview for providing such an awesome platform

##Note for Credits ::
The Ehlers 2 pole butterworth Filter function is derived from cheatcountry script (in.tradingview.com/script/cGeKRX1C-Ehlers-3-Pole-Butterworth-Filter-V2-CC/)

Kaufman's Adaptive Moving Average (KAMA)On Balance Volume (OBV)Support and Resistance

نص برمجي مفتوح المصدر

قام مؤلف هذا النص البرمجي بنشره وجعله مفتوح المصدر، بحيث يمكن للمتداولين فهمه والتحقق منه، وهو الأمر الذي يدخل ضمن قيم TradingView. تحياتنا للمؤلف! يمكنك استخدامه مجانًا، ولكن إعادة استخدام هذا الرمز في المنشور يخضع لقواعد‎‎قوانين الموقع. يمكنك جعله مفضلاً لاستخدامه على الرسم البياني.

هل تريد استخدام هذا النص البرمجي على الرسم البياني؟


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About me
AlgoTrading Certification, (University of Oxford, Säid Business School)
PGP Research Analysis, (NISM)
Electronics Engineer
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