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RE: Onchain Metrics Part-3 (GIOM, Adjusted Large Transaction Volume)- Steemit Crypto Academy- S5W5- Homework Post for @sapwood

in SteemitCryptoAcademy3 years ago (edited)

Thank you for attending the lecture in Steemit-Crypto-Academy Season 5 & doing the homework Task-5

So GIOM is a kind of comparison between the Money into the asset and Money out of the asset. It's not inflow or outflow, albeit it appears like that.

The clusters formed in GIOM chart are basically the liquidity zones.

Now I switch to the volume setting and check what is the relative percentage.

Exactly, the GIOM based on Addresses and Voume both should be checked and analyzed to ascertain its impact as support/resistance.

The last adjusted spike in large transaction volume was 788.53 billion DOGE that caused a massive rally and meteric rise of DOGE.

Indicate the difference between the two in figures.

Here is a catch, the volume is more significant because the selling pressure is created by bigger volume. The retail trader does not move the market by a big margin.

Excellent.

For the exact same price, between 7th Sept and 26th Oct, the difference between ITM addresses is positive, grown-up by 0.16 million and the OTM addresses is negative, gone down by -0.13 million. So it is developing bullish momentum during this period.

That's correct.

Observation/Suggestion/Feedback:-

  • The user has analyzed DOGE using GIOM and Adjusted Large Transaction volume indicator.
    -Overall it looks good; in some parts you are really good & impressive, particularly when you compared the GIOM based on Address and based on Volume. But should have had explained a bit more on immediate resistance and support zones and their impact.

Thank you.


Homework Task -5 successfully accomplished
[9]

CriteriaCalculation
Presentation1.5/1.5
Consistency, Compliance with Topic2/2
Quality of Analysis1.5/2
Clarity of Structure & comprehensive understanding1/1.5
Originality2/2
#club50501/1
Total9/10
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Thank you prof.

Because you are not eligible for club5050.

Thank you.

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