Have I mentioned how much I hate twitter? It sucks. Here’s a very interesting threaded post, ’cause apparently we need to do things backwards nowadays:

It was four months ago that I first wrote about bitcoin, and a lot has happened (and a lot has been learned) since then. So here is a refresh of my take on the topic. (THREAD)

Note: This is not financial advice. You should consult your accountant or your financial advisor for any decisions you make.

In my view, there are at least two dimensions to what makes bitcoin unique: an asymptotic supply curve and an exponential demand curve. At the intersection of the two lies a parabolic price discovery curve for this unique asset class. /2

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The supply curve is best described by the stock-to-flow (S2F) model, originated by @100trillionUSD. The higher the S2F, the higher the valuation. From what I understand, the S2F model is basically a power regression between bitcoin’s price and it’s inflation rate. /3

Supply scarcity is not enough though. Fortunately, the demand curve is equally compelling—and equally exponential. The chart below shows the price of bitcoin against the number of bitcoin addresses with a balance of at least $1. /4

Both scales are logarithmic, which shows that both price & demand have been growing exponentially. While we know the supply curve in advance (based on the pre-determined halvings), we don’t know what the demand curve will look like going forward. /5 

Fortunately, we have many examples of historical S-curves to guide us. We can use these analogs to help give us a possible clue to how bitcoin’s demand curve might evolve in the years to come. /6

Below is one example, using mobile phone subscriptions per 100 people in the US. The scatter plot regresses mobile phone subscriptions vs bitcoin addresses. I then added a power regression trendline to project potential future values for bitcoin demand. /7

This chart shows the existing and projected demand curve against price. /8

From there we can convert this demand curve into a price projection, by applying a power regression to the series. /9

Now let’s compare this to the stock-to-flow model. Below I added in the S2F model, which is the aforementioned inflation rate regressed against price. /10

I find it interesting that both the demand and supply models line up as well as they do, each appearing to predict ongoing impressive price gains. But the demand model turns more conservative than the S2F the further out we go. /11

Such is the nature of S-curves, as demand growth turns increasingly asymptotic while the supply curve continues on its pre-existing exponential trend. /12

I don’t know which model (if any) will do the best job in suggesting bitcoin’s historic journey, but for me the main takeaway is that it is helpful to look at both supply and demand curves. /13

While the S2F model seems too optimistic in the out years given its persistent exponential slope, the demand curve seems more plausible to me. (END/14)

My thoughts:

I saved this in case something happens to the tweets, because I liked the analysis. Basically he compared the Stock to Flow model with the S-curve of cellphone adoption. Yes, it’s not the same thing exactly, since usually every person has only one cellphone,, and not all people need bitcoin as much as they need communication in their lives. Whatever, I agree. It’s still a steep S-curve adoption on a network effect, and it’s worth comparing the two. This isn’t some random person on Twitter, it’s the Dir. of Global Macro @Fidelity. So he kinda knows what he’s talking about. And this doesn’t invalidate S2F, in fact, it only reinforces it. The model simply predicts more modest prices per bitcoin in the following years. It starts to deviate after 2025. S2F goes off the charts while the network effect slows a more organic increase, still getting as high as 1.6 million USD per bitcoin at 2033.

If that’s bearish, I’m all for it.

It’s time to buy some more Bitcoin.

BullionVault

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