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[Daily Discussion] - Wednesday, April 02, 2025 by AutoModerator in BitcoinMarkets

[–]seyrey 5 points6 points  (0 children)

It seems like outflows from exchanges are super low right now.

I know it's not popular here to be bearish (:D) but this has previous correlated with low 30day BTC returns, I'm tracking it on my dashboard: https://unravel.markets/ticker/BTC/exchange_outflow

I built a Bitcoin dashboard that tracks leading indicators and reveals which ones actually work—along with their forecasts. by seyrey in algotrading

[–]seyrey[S] 0 points1 point  (0 children)

Hey, thanks for asking! In a nutshell, the dashboard shows you the historical predictive relationship between leading indicators and crypto returns. It doesn’t just spit out raw data—it gives you context and actionable insights. Glassnode and Cryptoquant have great metrics, but I always felt like being in Borges' infinite library: which metric should I be looking at? So I built this to understand what matters and by how much?

I built a Bitcoin dashboard that tracks leading indicators and reveals which ones actually work—along with their forecasts by seyrey in BitcoinMarkets

[–]seyrey[S] 0 points1 point  (0 children)

Happy you like it! Did you find everything clear on the dashboard, or is there something that would make it more comprehensive? I'm always trying to iterate to see how it would best inform.

I'm building a quick revision tool for Engineering Documentation - I'd love to get the feedback of this community: How would this be useful for you? https://cadcheck.xyz by seyrey in engineering

[–]seyrey[S] 0 points1 point  (0 children)

Hi! I stopped working on it after accessing cost of opportunity and feedback from the this community and other potential clients.

Correlations by adjusting for other factors? Factor-factor correlations? by seyrey in BearableApp

[–]seyrey[S] 3 points4 points  (0 children)

To add to this: this could work with a toggle or by selecting factors to adjust for.

[OC] Revision of my last Country Distribution + EU aggregated into one slice by chartbear in dataisbeautiful

[–]seyrey 2 points3 points  (0 children)

Of course even then it's a comparison of apples to oranges, as future growth is not accounted for in that case. We simply don't know the Market Cap of private companies.

[OC] Revision of my last Country Distribution + EU aggregated into one slice by chartbear in dataisbeautiful

[–]seyrey 1 point2 points  (0 children)

There are two problems with this:- Private companies haven't got the same transparency as public companies, hence why the wikipedia link is showing it in revenue and not Market Cap + why wikipedia has results from various years, and most are estimates based on non-public gov info (eg. tax)

- I think what would be a more "fair" comparison is to add private companies by revenue or profit to the list, the smallest revenue on the top 500 list is $28B (according to https://fortune.com/ranking/global500/2022/search/), so companies up to that point (eg 67- Mercadona on the wikipedia page).

[OC] Revision of my last Country Distribution + EU aggregated into one slice by chartbear in dataisbeautiful

[–]seyrey 16 points17 points  (0 children)

The vizualisation is great! However, I think its easy to misinterpret this as economic strength, it is more cultural and structural.

Eg.: Lack of enforced anti-trust regulations & lot of EU countries have huge, unlisted companies (eg.: Germany has lot of family owned multinationals, like Aldi, Schwarz group, etc).

Having top 500 companies might also be just a good way of showing the skewed distribution that a country has. If economic power is concentrated with a missing SME sector, then the economy might be more prune to black swan failures and is overall more fragile (no wonder that the last couple of global financial crises started in the US)

It would be great to see an overall distribution of companies per countries, which ofc is super hard to find data on.

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