Liquidity & #Bitcoin are inexorably linked. For in-depth analysis on this topic you cant go past @42MacroWeather @RaoulGMI @crossbordercap @MacroAlf
This 🧵 explores one specific liquidity measure in order to understand whether it it has "signal value" for $BTC
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf Firstly, there is no settled definition of liquidity and opinions on the topic vary wildly. The US Financial Liquidity Index is the most widely vaunted on Twitter, so I have chosen this as the focus. You can find it on the @TheTerminal by running the ticker {.US_LIQI G Index}
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal Currently aggregate US Financial Liquidity is $6.02T. How is it constructed?
Fed Balance Sheet ($8.13T) -- ⬆️ adds liquidity
(RRP) Reverse Repo Facility at the Fed ($1.69T) -- ⬆️ reduces liquidity
(TGA) Treasury Account at the Fed ($0.41T) -- ⬆️ reduces liquidity
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal About $1T (-15%) has been drained since 2021, according to this one important, but narrow measure.
All of it has been due to the Fed ⬇️ the size of its Bal Sheet. Had the Treasury not gone on an unprecedented spending spree over the same period, it would have been a lot worse.
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal How does this relate to Bitcoin?
Well, Bitcoin tracks this index pretty closely.
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal When we add in Equity markets we see how all risk assets are tightly related. This has intensified since the Covid calamity where the monthly correlations have moved from below 0.20 to approx. 0.60-0.80.
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal A word of caution on correlations. 2 series can look highly connected but it doesnt necessarily mean that 1 explains the other from a purely statistical standpoint. One measure is to look at the rtns of both timeseries
$BTC | liquidity index r^2 = 0.008 (no explanatory power)
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal That doesn't mean we should discard it. It just means it needs to be applied in a thoughtful way. Clearly Bitcoin has been reacting to the subtle changes in liquidity and on closer inspection even more so than equity markets which diverged strongly in July/Aug
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal So if we measure the momentum of US liquidity can we derive a signal? $BTC bottomed after net liquidity was most negative and started to decelerate in 2H22. After rallying with improving liquidity in Q1 (Bank Bailout), $BTC faded as liquidity receded, momentum went negative again
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal Lets apply a simple moving average to Liquidity so we can generate a simple risk/on filter.
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal I use something similar for my US Liquidity Regime Signal which I write about regularly at @BBGIntelligence. Here you can see Bitcoin against bullish/bearish liquidity regimes. We are currently in a Bearish regime.
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal @BBGIntelligence As a simple risk/on filter for Bitcoin the performance of the system is pretty robust. Main takeaway: $BTC performs when the wind (positive/expanding liquidity) is its back.
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal @BBGIntelligence I discussed the results in more detail previously, here:
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal @BBGIntelligence As a standalone trading strategy it has outperformed $BTC since 2014 (extent of the Liquidity index history) by approx. 33%. Not bad for the best performing asset. However, since inception, a $BTC Buy and hold strategy would have outperformed the strategy.
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal @BBGIntelligence Note that strategy PnL is only 10% from high watermark and how it gave a timely signal when $BTC was above $30,500 in early July.
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal @BBGIntelligence Unsurprisingly, given the correlation btwn risk assets, the US liquidity regime filter also works with other risk assets such as the S&P 500
@42MacroWeather @RaoulGMI @crossbordercap @MacroAlf @TheTerminal @BBGIntelligence While US Financial Liquidity Index is a critical measure to monitor for risk assets, it is by no means the only lens. Global Liquidity, especially China, real money (circulating currency, bank deposits), rates and volatility also need to be factored in.
1/4
Just when the #DeFi was potentially forming a bottom, the $CRV exploit exposes chronic flaws with the system. Ultimately, its 100% human error - the code itself & the founder's greed. This could impact valns as DeFi generates substantial fees (rev's) for L1s
2/4 DeFi % of Fees has increased from 30 to 50% this yr. Whilst everyone is chasing stops to force liquidate boosting DeFi activity (revenue), the fiasco is causing contagion, undermining confidence in one of PoS blockchain's major primitives
@Artemis__xyz
3/4 Ultimately, major price bottoms are only known after the fact. The trend is still down on an absolute and relative basis (vs. $ETH), which warrants extreme caution.
Introducing Bloomberg Intelligence's new Crypto Ecosystem (PoS Assets) Fundamentals Dashboard. We're expanding coverage beyond the two assets that we considered to be institutional-grade quality (BTC, ETH) to the wider proof-of-stake (PoS) ecosystem. A 🧵 on why
2/8 Blockchain S-curve Still in Infancy:
Beyond speculation, only a fraction of the 200-300m estimated users are using it for other use cases. This is about to change! Zkproofs for privacy, ETH Layer-2s for scaling...
..mainstream integration accelerating as corps lean into NFTs, payment firms are adopting crypto rails for settlement as well as issuance, and some central banks' digital-currency projects are leveraging public chains (although def not our preferred use case 🗽 🚫 )
For a couple of reasons YTD positive price momentum indicates that the capitulation low last June was likely the cycle trough for the asset
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In the last cycle, ETH hit its cycle low 11mths after peak(-90%). It took 18mths of volatile sideways price action before it broke out following Bitcoin's halving in 2020. Our chameleon momentum indicator on the daily timeframe has turned positive (green)
Our trend model triggered as well. However, there can be several false signals before a solid cycle low actually forms (in 2019 there were several losing signals). But cycle troughs in crypto are a process..
Ethereum's Layer-2 Bull Cycle has begun. And with the supply side boost from the Merge in the rearview, the market should hone in on the demand dynamics, which are beginning to drive significant network effects. Ethereum on-chain fundamentals update 🧵
Given the severity of the global monetary tightening, Ethereum, over the last 12-months, has performed commendably across some of the network adoption metrics we analyze in our fundamentals dashboard.
Remember, these core fundamental metrics; active addresses, transactions, transferred values and non-zero balance addresses, are tracked because of their strong correlation with the price since inception.
The Bitcoin monetary network, ambivalent to the machinations of central bank policy, continues to grow stronger by the day. But with macro driving the marginal buyer of all risk assets lets explore the subtle global liquidity cues which will could forewarn of a cycle low 🧵
Despite the worst macro environment in decades, #BTCs hash-rate has hit a new all-time high, demonstrating a resilience that the fiat system has been short in throughout 2022.
Institutions have effectively withdrawn $700b + from the financial system, preferring to park it with the Fed than risk it in the short term lending markets. This is 3x the liquidity withdrawal from the Fed via quantitative tightening.
hat tip @CryptoHayes for this framework
US Equity market breadth is worth watching. If Advance/Decline Lines are leading, its a sign that price is likely to follow through in the direction of the A/D Line. Divergences tend to tell us when the prevailing trend is weakening/potential for a reversal 🧵
1. Nasdaq Comp Advance/Decline Line is leading price lower, breaking June support
The large cap Nasdaq100 Advance/Decline Line is leading price and testing support