1/27 1st day of the month.. #Bitcoin market analysis time! π₯³
This edition, I'll look at 3 questions:
- Why did we dip (again)?
- Is there still demand?
- Is there still room for growth?
A relatively long 𧡠this time, but I think you may just like it π€«
2/27 Alright, lets first just look at the price chart
#bitcoin started the month strong, rallying to a new ATH at ~$64.9k, but then dropped to ~$47.0k (-27.56%), where it found a lot of confluence for support (e.g., Fibonacci, UTXO realized price, whale inflows, NVT Price)
3/27 Upon writing these monthly analyses, I'm spotting a trend: I'm writing about a dip each month π
If anyone has an explanation for why the #bitcoin price dips near the end of each month, I'm all ears π
First: Price ramped up FAST this cycle in comparison to 2017
#Bitcoin Price Temperature (BPT) reached a π‘οΈ of 6 multiple times at an earlier post-halving date than the previous cycle
Some price exhaustion could be expected π₯΅
5/27 As price ran up, more market participants became excited about #Bitcoin and took on leveraged bets at an increasing rate, causing open interest on futures to skyrocket
Not just the #bitcoin price (& π‘οΈ) needed to cool off - so did the leverage in the system (which it has)
6/27 The amount of pain of those degenerate gamblers that aped long on leverage during this parabolic rise is visualized in this long liquidations chart
Lesson: when everyone & their mom is long, it pays to be short - especially if you're a π³ that can help push the price down
7/27 ..which is exactly what happened π€·ββοΈ
I wrote a 𧡠about it using @whale_map data, to show that the dip started with a large, somewhat old (Aug '20) whale taking profits, creating a cascading effect of profit taking towards younger whales that even capitulated at a loss
8/27 I concluded that thread with a chart of the Spent Output Profit Ratio (SOPR), that had just reset back to 1
This means that on average, the last sold coins were neither in profit nor at a loss - an indication that the 'profit taking potential' turned neutral (which is good)
9/27 Around that same time, the #bitcoin price was touching @woonomic's NVT price model, which had worked as a support during the previous bull runs as well
10/27 There was also a large drop in hash power on the network due to power problems in China, that caused the @woonomic's hash ribbons to compress, creating a miner capitulation signal on @caprioleio's indicator - which also is bullish
11/27 Since then, the #bitcoin price bounced back resiliently, even closing the month off at ~$57.8k, which is barely even a red candle (-1.7%)
What is encouraging, is that this rise was accompanied by large exchange withdrawals - the big boys are buying right now π
12/27 Perhaps an even more comforting thought; this last price rise was not accompanied by a rise in funding rates, which is a sign that it was spot-markets driven
The apes that went long & got rekt are now either on the sidelines or learned their lesson and bought spot π§
13/27 So what is the market sentiment like, currently?
I held a Twitter poll last week and the results were clear; respondents were indifferent short-term, but very much bullish on #Bitcoin mid- to long-term π
15/27 A similar pattern can be witnessed at the balances of Over The Counter (OTC) trading desks
The supply shortage is real; there is a decreasing amount of coins circulating on the market, which means that price must go up to entice HODL'ers to sell
16/27 That trend becomes even more clear when you see that the liquid market supply has decreased on a daily basis all year so far, and thus the illiquid supply (coins in the hands of HODL'ers with no history of selling) keeps growing
17/27 A similar pattern can be witnessed with miners, that were taking profits in January but have stopped doing so since late March - and have been accumulating ever since
If these guys aren't taking care of the supply shortage, who will? π€
20/27 Right, but those addresses can all belong to a single π³. Are there actually new entities coming to the network?
Yup - more than ever π
Chart via.. ah you know who π (last one for now, I promise!)
21/27 Another encouraging signal that demand is lining up: the stablecoin reserves on spot exchanges are currently relatively high, which is potentially a signal that dry powder is ready to buy the next dip - or perhaps FOMO in if price runs away from them π¬
22/27 What about the room for growth?
Like we saw with the BPT, the Market Value to Realized Value (MVRV) Z-score recently reached relatively high levels, but has dropped, after #Bitcoin's realized value itself went up
If this cycle is like the previous ones, there is room left
23/27 Similarly, the Puell Multiple - a metric that quantifies to what extent the daily coin issuance is increased in comparison to its 1-year moving average - was at relatively high levels, but recently dropped after the hash rate drop on the network
24/27 Less convincing is the status of @hansthered's Reserve Risk that quantifies to what extent long-term holders are selling
Some HODL'ers were taking profits during this run but in comparison to previous cycles, HODL'er conviction is still high (waiting for higher prices?)
25/27 @PositiveCrypto's Realized HODL Ratio uses a different approach to actually tackle that same angle - HODL'er confidence
As expected, the RHODL Ratio paints a similar picture - still room for growth in comparison to previous cycles
Click below to read the last 2 tweets π
26/27 To close off my monthly analysis thread, I like to use my #Bitcoin Halving Cycle Roadmap chart
As the #Bitcoin Price Temperature π‘οΈ cooled off towards green, it is now lagging behind most of the other price models that are visualized here
(When) will it catch up...? π
27/27 To conclude:
- Compared to 2017, the bull run was intense; some exhaustion was normal
- The market was (over)leveraged, but now less so
- The demand for #bitcoin appears strong as ever
- If this cycle is like the others there is room for growth on most market cycle metrics
β’ β’ β’
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2/11 Money can be defined as "the most salable good to transfer value across space and time"
#Bitcoin can be seamlessly transferred across both space and time thanks to its digital nature and 21-million maximum supply
3/11 When valuing #bitcoin, those aspects need to be taken into account
Some models focus on scarcity (e.g., @100trillionUSD's S2F models), whereas others may look at its transactional capacity (e.g., @woonomic's Network-Value-to-Transactions (NVT) Price model)
2/5 The first concept to grasp is that of Realized Value (RV), introduced by @nic__carter & @khannib in 2018
RV is the total value of all circulating coins at the last time they moved on-chain, therefore representing the estimated cost-base of all existing #bitcoin
3/5 Briefly after, @kenoshaking & @MustStopMurad divided the total #bitcoin Market Value (MV) by the RV, creating a groundbreaking metric called the MVRV Ratio
A pseudonym called Awe and Wonder then iterated upon it by standardizing it ((MV-RV)/MVsd), creating the MVRV Z-Score
2/17 Last year, @Glassnode learned that when an Unspent Transaction Output (UTXO) is >155 days old, its has a relatively low probability of being spent
Based on this, they created Short-Term Holder (STH) and Long-Term Holder (LTH) supply metrics
3/17 If you divide @glassnode's LTH supply by the circulating #bitcoin supply, you get a LTH Supply Ratio that quantifies the portion of the supply that is estimated to belong to LTHs
2/22 Since mid-April, China came down hard on #Bitcoin, banning its institutions to offer #bitcoin services, censoring related search results and shutting down mining operations in recent weeks
Hash rate dropped ~50%, to levels not seen since briefly after last year's halving π€
3/22 A result of the hash rate drop is that #Bitcoin blocks are coming in much slower than the usual 10 minute block intervals
In fact; block creation slowed down to more than twice the intended interval & levels not seen in >11 years, illustrating the magnitude of this drop π€―
1/25 @BitcoinMagazine just posted the first edition of a new monthly series titled 'Cycling On-Chain', in which on-chain and price-related data are used to estimate where in #Bitcoin's market cycle we are
2/25 Just like the periods after the 2012 and 2016 halvings, the 2020 #Bitcoin halving created a supply shock that triggered an exponential price increase
However, compared to the previous one, this cycle got heated much faster π₯΅
3/25 When the #bitcoin price ran towards and beyond its previous (2017) all-time high at $20k, market participants increasingly started to secure profits
After the January local top, this profit-taking has been decreasing - despite price still grinding up until recently
1/7 Just published an article at @BitcoinMagazine that uses on-chain data visualizations to explain how #Bitcoin's difficulty adjustment mechanism works & how it relates to hash rate, block intervals, fees & the mempool
2/7 #Bitcoin reaches its 21 million hard cap by starting with a 50 BTC block subsidy and halving that each 210k blocks, until the block subsidy falls away after 33 halvings
#Bitcoin needs block intervals of ~10 min to ensure these halvings are spread out over ~4 years. But why?
3/7 If #Bitcoin had a fixed difficulty, it would have had an adoption threshold if it started high, or quickly run through its supply issuance schedule if it started low
Relatively stable block interval times are needed to spread out miner incentives & ensure stable throughput