๐๐บ๐ฑ๐ฎ๐ ๐ถ๐ป๐ถ๐๐ถ๐ฎ๐๐ฒ๐ ๐๐บ๐๐๐ฒ๐ฟ๐ฑ๐ฎ๐บ ๐๐ถ๐๐ฐ๐ผ๐ถ๐ป ๐ง๐ฟ๐ฒ๐ฎ๐๐๐ฟ๐ ๐ฆ๐๐ฟ๐ฎ๐๐ฒ๐ด๐ (๐๐ ๐๐ง๐ฆ)
We are proud to announce that Amdax initiated AMBTS B.V. (โAMBTSโ), with the intention to list a Bitcoin treasury company on Euronext Amsterdam. The long-term ambition of AMBTS is to become a 1% Bitcoin treasury company over time and unlock a compelling investment opportunity for institutional investors.
๐ฌ @LucasWensing explains:
โWhile Bitcoin has been the best performing major asset in the past 10 years with fast adoption as digital capital, it is still relatively small in investment portfolios. With now over 10% of bitcoin supply held by corporations, governments and institutions, we think the time is right to establish a Bitcoin treasury company with the aim to obtain a listing on Euronext Amsterdam, as one of the leading exchanges in Europe. This will provide institutional investors with new financial instruments to get exposure to the performance of bitcoin.โ
Read the whole press release: https://t.co/BkGNxzgsTn
๐๐ฆ๐๐๐ฑ ๐๐๐ก๐๐๐ฅ๐ญ ๐๐ข๐๐๐-๐ฅ๐ข๐๐๐ง๐ญ๐ข๐ ๐ช๐บ
Met trots maken we bekend dat Amdax de MiCAR-vergunning heeft ontvangen. Met deze vergunning voldoen wij aan de nieuwe Europese wetgeving voor cryptomarkten.
๐ฌ ๐๐ฆ๐๐๐ฑ ๐๐๐ @LucasWensing :
"Deze vergunning is een erkenning van onze langetermijnvisie, โWe hebben vanaf het begin gebouwd aan een bedrijf dat niet alleen technologisch vooruitstrevend is, maar ook regelgeving, integriteit en risicobeheersing centraal stelt in zijn bedrijfsvoering. Die strategie werpt nu zijn vruchten af."
Met MiCAR bieden we vier gereguleerde cryptodiensten aan onder รฉรฉn vergunning:
โย Orderuitvoering
โ Bewaring
โ Overdracht
โ Vermogensbeheer namens cliรซnten
Deze combinatie van diensten onder รฉรฉn vergunning is uitzonderlijk in Nederland.
Een groot compliment aan het team dat dit mogelijk heeft gemaakt. Samen blijven we bouwen aan een professionele, transparante en betrouwbare cryptomarkt.
Lees het volledige persbericht hier: https://t.co/mRLTa9uAcE
BlackRock lanceert een nieuw fonds op de blockchain. Hoe dat werkt? We leggen het je uit in de Marktupdate van deze week.
Ook bespreken we de geruchten over de aanklacht tegen de Ethereum Foundation, en de rol van ethereum staking bij spot ether ETFโs. ๐
https://t.co/qtTIySUsb6
Discussion on the #Bitcoin power law model stirred up again.
@hcburger1, @Giovann35084111 and @peter_vijn published articles in response to my critique on the model.
I'd like to point my attention towards these gentlemen and share my view on some of their ideas/findings. ๐งต๐
@Wojball@hcburger1@Giovann35084111@peter_vijn Either one is statistical evidence that the model is likely to 'fail', which is important to know now before it happens.
Also, we'll probably not realize when it fails because very long periods of over/underestimation are quite common.
Discussion on the #Bitcoin power law model stirred up again.
@hcburger1, @Giovann35084111 and @peter_vijn published articles in response to my critique on the model.
I'd like to point my attention towards these gentlemen and share my view on some of their ideas/findings. ๐งต๐
@Wojball@hcburger1@Giovann35084111@peter_vijn Sure! Despite their defense, I still think the model is invalid due to:
1) Autocorrelation; over/underestimation today means over/underestimation in the coming period (weeks/months)
2) Non-stationarity residuals; there will likely form constant over/underestimation in the future
@hcburger1@Giovann35084111 If you're curious, these are the out-of-sample forecasts since the start of 2022.
Unfortunately, I can't expand the out-of-sample window due to the nature of the method (it requires two full cycles).
@hcburger1@Giovann35084111 It's therefore that I strongly believe there is no proper way to forecast asset prices in the medium/long-term.
The only thing I can come up with is a forecast without any statistical inference. Feel free to read this article. https://t.co/xIPNhw2kKx
@hcburger1@Giovann35084111@peter_vijn But it turns out the 'lower bound forecasts are even better than the original ones (based on the RMSE).
This shows that itโs very easy to create โincredible out-of-sample forecastsโ in a log-log setting, even if we mess up the slope deliberately.
20/20
@hcburger1@Giovann35084111@peter_vijn Let's play around with the coefficients and assign values to the exponent that are outside the 95% confidence interval of its โtrue valueโ.
If the power law model actually produces incredible forecasts, my contaminated forecasts should be nowhere near as accurate.
19/20