1/10 A rough prediction using the #Bitcoin Price Temperature (BPT) Bands:

If the current #Bitcoin post-halving bull run has a similar growth & volatility as the last one, this cycle could top at around $300k in October 2021 👀

Q&A with interpretation & nuances in this thread 👇
2/10 Q: What Is the #Bitcoin Price Temperature (BPT)?

A: The BPT reflects the relative distance between the #Bitcoin price & its 4-year moving average. High BPT values represent potentially (over)heated price levels. 🌡️

More in this thread & article:
3/10 Q: What are the BPT Bands based on?

A: Technical Analysis:
- BPT0 (blue): the 4-year moving average
- BPT2 (green): both support & resistance levels at key market swings
- BPT6 (orange): resistance level during bull runs
- BPT8 (red): market cycles topped shortly afterwards
4/10 Q: Why use a 4-year time window?

A: #Bitcoin's new supply issuance is halved every ~4 years, creating a supply shock that appears to drive up the price in the 1-1.5 years after.

This weekend, @btconometrics posted something interesting on this:
5/10 Q: How did you get to October (18th) 2021 as a potential market top?

A: I calculated the difference between the previous halving (2016) and subsequent market top (2017) in number of days and added that to the date of the last (2020 halving.
6/10 Q: How did you get to $300k as a potential market top?

A: I calculated the % growth of the BPT8 band between the previous cycle halving (2016) and top (2017) and used it to estimate what the BPT8 band price would be on October 18th, 2021.
7/10 Q: Can you just do that?

A: Technically yes, but this is a naïve approach that relies heavily on several assumptions:
- That this cycle will be similar to the last one. So far the BPT of both cycles is highly correlated (r=0.79) but no guarantees that it'll stay that way.
8/10 (continued)

- That this cycle's volatility will also be similar. E.g., if this cycle is more volatile, the BPT Bands will slope up faster due to how they are calculated (using the 4-year SD). Is the current cycle (orange) becoming more volatile than the last (yellow)? 👀
9/10 Q: What if I believe in the 4-year cycles, but think that the max returns will be a bit lower again this cycle?

A: That scenario probably aligns best with @btconometrics' latest work, who estimates the current cycle to top at around $150k next year:
10/10 Q: Why not use the first halving cycle?

A: Because the current cycle is not very similar to the first halving cycle at all (no correlation), so right now there is no reason to believe we'll follow that trajectory. (If it did, we'd get a $782k BPT8 price on May 17th, 2021.)

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More from @dilutionproof

20 Dec
1/16 Interesting analysis by @btconometrics 🔥

TL;DR: The #Bitcoin market appears to be moving in 4-year halving-related cycles. Based on a power regression using cycle bottoms & tops, this current cycle's top is estimated at $149,053.85.

Thread with summary & some thoughts 👇
2/16 #Bitcoin's largest and most well-known cycle is the halving cycle, which is the result of the block rewards (the newly minted coins that miners receive when they win the rights to create a new block) being cut in half every 210.000 blocks (~4 years).
3/16 If you divide the maximum price of each cycle by its minimum, you get the 'max to min price ratio'.

If you do a power regression on this (n=3) data, you get the attached figure.

Assuming $8,591 is this cycle's bottom, the model suggests that $149,053.85 will be its top.
Read 16 tweets
15 Dec
1/12 Just published "Bitcoin Price Temperature (Bands) - An indicator for the price bandwidth of #Bitcoin's 4-year cycle"

The BPT (Bands) is an improved version of the #Bitcoin Price Z-Scores that I shared before

dilutionproof.medium.com/bitcoin-price-…

I'll summarize in this thread 👇
2/12 The article first describes why the #Bitcoin price appears to move in 4-year cycles:
- Halvings occur every ~4 years
- Halvings create a supply shock that may drive up the price as described here:
- N=2.25, but price action so far supports the thesis
3/12 The #Bitcoin Price Temperature (BPT) is a metric for the relative distance between the daily price and its 4-year moving average.

More simply put: high BPT values reflect potentially (over)heated prices, whereas low BPT values are a sign of potentially (under)cooled prices.
Read 12 tweets
13 May
1/n Alright, so what happened at this track yesterday that was so interesting? I'll try and summarize in this thread.
2/n Just for reference, if you have no idea what this is about and want to read up, this thread might help. If you speak Dutch, the @BitcoinMagNL article in my pinned tweet does the trick as well.

3/n After @moneymanolis gave an explanation of the fundamentals behind the #Bitcoin S2F model, @Kripfganz took the @ValueOfBitcoin stage.

One of the first things he did was give an example of a spurious regression: Bitcoin is correlated (r=.89) with UK non-EU net migration! 😄
Read 14 tweets
30 Apr
1/n Since @100trillionUSD posted his article, a lot of critical new developments in the #Bitcoin Stock-to-Flow (S2F) modeling unfolded. The discussion is a bit complex & scattered, so I'll attempt to summarize recent events in a (hopefully) easy-to-understand) way.

A thread. 👇
2/n If you'd like a brief history of the evolution of the #Bitcoin S2F model before we dive into the matter at hand, this thread will get you up to speed:

3/n The discussion at hand was spurred by @100trillionUSD's latest article that introduced the 'Bitcoin Stock-to-Flow Cross Asset Model' (S2FX), but the discussion we're about to highlight itself is actually not about that model, but about its predecessors.
Read 34 tweets
28 Apr
1/n Yesterday, @100trillionUSD published his third Medium article, called 'Bitcoin Stock-to-Flow Cross Asset Model', in which he introduces a new iteration of the S2F model that utilizes a new approach to modeling assets based on scarcity:

medium.com/@100trillionUS…

A thread. 👇
2/n The first S/F model (March 2019) innovated by creating a power-law model, regressing #Bitcoin's price by its Stock-to-Flow ratio (S2F); it's total supply divided by the new issuance. The underlying idea was that scarcity is driving Bitcoin's price.

medium.com/@100trillionUS…
3/n The first model used monthly #Bitcoin data and used silver and gold as benchmarks. Both aligned well, albeit suggesting that the modelled price was on the low-end. As @RaoulGMI pointed out; this already indicated that the method might hold merit for cross-asset valuation.
Read 29 tweets
11 Apr
1/n With the #Bitcoin halvening in sight and the $BCH & $BSV halvings happening this past week, I decided to dive into @coinmetrics' on-chain data myself and create some charts to compare their hash rate and fees as a percentage of the block reward over time.

A thread. 👇
2/n Let's start with the one and only Bitcoin; #BTC. $BTC's hash rate has been steadily growing over time. As the charts clearly show, the halvenings (striped vertical lines) definitely didn't create a 'mining death spiral' - the hash rate actually accelerated afterwards.
3/n The most likely explanation for the growth in hash rate after the halvenings is that as #BTC price increased as a result of the Quantitative Hardening (h/t @_Schmiegle), mining became more profitable, attracting new miners and thus hash rate.
Read 17 tweets

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