<p><a class="user-mention" data-hovercard-type="user" data-hovercard-url="/users/sqrrm/hovercard" data-octo-click="hovercard-link-click" data-octo-dimensions="link_type:self" href="https://github.com/sqrrm">@sqrrm</a> if I understand correctly, your suggestion is to treat the very big spikes, like the ones on the right of the chart, as if it was a different data series. I.e. present it and the rest of daily burnt BSQ separately and analyse and reason about it separately as well.</p>
<p>I'm not sure I understand what the burning man is (I only know Burning Man, haha). I'll just suppose that it's something related to the 7 day cycle you mention.</p>
<p>So, if we were to do that, it would be much preferable to perform the "separation" earlier in the pipeline, ideally mirroring how it works with the issued BSQ series in <code>daoStateService.getIssuanceSet(issuanceType)</code>, <code>issuanceType</code> being either <code>REIMBURSEMENT</code> or <code>COMPENSATION</code>.</p>
<p>That said, as I see it, both these processes that we possibly would want to reason about separately are highly related in that they're burning BSQ, so being able analysing their sum total effect is desirable. The question would be if we want to also analyse them in isolation of each other.</p>
<p>As for the moving average, if we do want to analyse burning BSQ as a whole, it implies analysing what influence the inliers and outliers have on their total effect, and for that MA is important. It not only improves the readability of the noisy inliers, but it translates outliers and inliers to a "common denominator" for the lack of a better term.</p>

<p style="font-size:small;-webkit-text-size-adjust:none;color:#666;">—<br />You are receiving this because you are subscribed to this thread.<br />Reply to this email directly, <a href="https://github.com/bisq-network/bisq/pull/3890?email_source=notifications&email_token=AJFFTNURLRUGKICAQJ2XBRDQ6H72DA5CNFSM4KFT7QP2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEJIWDWI#issuecomment-575758809">view it on GitHub</a>, or <a href="https://github.com/notifications/unsubscribe-auth/AJFFTNTCV3N7RNQJP656OFTQ6H72DANCNFSM4KFT7QPQ">unsubscribe</a>.<img src="https://github.com/notifications/beacon/AJFFTNX4WEDPGWFY4NOZQTLQ6H72DA5CNFSM4KFT7QP2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEJIWDWI.gif" height="1" width="1" alt="" /></p>
<script type="application/ld+json">[
{
"@context": "http://schema.org",
"@type": "EmailMessage",
"potentialAction": {
"@type": "ViewAction",
"target": "https://github.com/bisq-network/bisq/pull/3890?email_source=notifications\u0026email_token=AJFFTNURLRUGKICAQJ2XBRDQ6H72DA5CNFSM4KFT7QP2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEJIWDWI#issuecomment-575758809",
"url": "https://github.com/bisq-network/bisq/pull/3890?email_source=notifications\u0026email_token=AJFFTNURLRUGKICAQJ2XBRDQ6H72DA5CNFSM4KFT7QP2YY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOEJIWDWI#issuecomment-575758809",
"name": "View Pull Request"
},
"description": "View this Pull Request on GitHub",
"publisher": {
"@type": "Organization",
"name": "GitHub",
"url": "https://github.com"
}
}
]</script>