I think something shifted in the market -- and active investors & traders would do well to adjust their mindset.
1/ We've reached a critical inflection point in bitcoin's adoption curve.
A moment wholly unique in the history of markets.
Are you ready for what comes next? 👇
#Bitcoin

I think something shifted in the market -- and active investors & traders would do well to adjust their mindset.
If they want this asset: they'll have to hustle, compete with the masses and FOMO in above ATH's.
Against a backdrop of scarcity unlike anything they've ever seen.

Their bots will not stop buying.
There isn't enough supply for all of them, and they know it.
How much appetite will strong hands have to market sell, just to run stops?
In the opening hours of the greatest bull market of their lives.
In a liquidity crisis.
This is why I think #Bitcoin goes to $35k-$40k, before a shakeout much worse than anything we've seen so far.
I’m not saying we teleport to $40k instantly.
Just small gains, pretty much every day, for many weeks.
But this scenario would not be unprecedented:
This same thing happened in 2017, when #BTC broke previous ATHs after multiple tries.

*Don't* throw risk mgmt out the window -- because we can't know for sure if I'm right.
Buy gradually -- on small pullbacks, at the weekly TWAP, BTC's time-weighted average price.
https://t.co/DSutfD4HXP
TWAP stands for Time Weighted Average Price. It is de rigeur among institutions when accumulating an asset whilst there's an absence of OTC block sellers with whom to directly match.
— Su Zhu (@zhusu) December 4, 2020
The guarantee of fill and privacy of overall size are certainly also plus points.$BTC
I will look to two metrics:
(and neither one is funding -- funding will be useless if this scenario plays out).

I consider this the alpha metric on-chain for finding local #BTC tops.
I want to see STH-MVRV print above a 1.5, then make lowers lows.

On Gemini exchange: this metric was never wrong in 2020.
Gemini whales are #Bitcoin 's secret bellweather.
(Data from @cryptoquant_com)

More from Crypto
Short version:
The NFT token you bought either points to a URL on the internet, or an IPFS hash. In most circumstances it references an IPFS gateway on the internet run by the startup you bought the NFT from.
Oh, and that URL is not the media. That URL is a JSON metadata file
Here's an example. This artwork is by Beeple and sold via Nifty:
https://t.co/TlJKH8kAew
The NFT token is for this JSON file hosted directly on Nifty's servers:
https://t.co/GQUaCnObvX

THAT file refers to the actual media you just "bought". Which in this case is hosted via a @cloudinary CDN, served by Nifty's servers again.
So if Nifty goes bust, your token is now worthless. It refers to nothing. This can't be changed.
"But you said some use IPFS!"
Let's look at the $65m Beeple, sold by Christies. Fancy.
https://t.co/1G9nCAdetk
That NFT token refers directly to an IPFS hash (https://t.co/QUdtdgtssH). We can take that IPFS hash and fetch the JSON metadata using a public gateway:
https://t.co/CoML7psBhF

You May Also Like
@NBA @StephenKissler @yhgrad 1. From Day 1, SARS-COV-2 was very well adapted to humans .....and transgenic hACE2 Mice
1. From Day 1, SARS-COV-2 was very well adapted to humans .....and transgenic hACE2 Mice
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) January 30, 2021
"we generated a mouse model expressing hACE2 by using CRISPR/Cas9 knockin technology. In comparison with wild-type C57BL/6 mice, both young & aged hACE2 mice sustained high viral loads... pic.twitter.com/j94XtSkscj
@NBA @StephenKissler @yhgrad 2. High Probability of serial passaging in Transgenic Mice expressing hACE2 in genesis of SARS-COV-2
1. High Probability of serial passaging in Transgenic Mice expressing hACE2 in genesis of SARS-COV-2!
— Billy Bostickson \U0001f3f4\U0001f441&\U0001f441 \U0001f193 (@BillyBostickson) January 2, 2021
2 papers:
Human\u2013viral molecular mimicryhttps://t.co/irfH0Zgrve
Molecular Mimicryhttps://t.co/yLQoUtfS6s https://t.co/lsCv2iMEQz
@NBA @StephenKissler @yhgrad B.1.1.7 has an unusually large number of genetic changes, ... found to date in mouse-adapted SARS-CoV2 and is also seen in ferret infections.
https://t.co/9Z4oJmkcKj

@NBA @StephenKissler @yhgrad We adapted a clinical isolate of SARS-CoV-2 by serial passaging in the ... Thus, this mouse-adapted strain and associated challenge model should be ... (B) SARS-CoV-2 genomic RNA loads in mouse lung homogenates at P0 to P6.
https://t.co/I90OOCJg7o
