[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 (

Open-source script

In true TradingView spirit, the author of this script has published it open-source, so traders can understand and verify it. Cheers to the author! You may use it for free, but reuse of this code in a publication is governed by House Rules. You can favorite it to use it on a chart.

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Masters in Quantitative Finance,
University of London .

Algorithmic Trading Certifications
University of Oxford, Säid Business School .

Electronics and Communications Engineer at core .

Happy to help, message me!


Amazing thanks
+1 Reply
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