This #Bitcoin Bull Market is far from over. Here's why:
For starters, Bitcoin tops are marked by increasingly parabolic price action until a blowoff top occurs and demand steps back.
We are not seeing that. There is a massive base of capital (on-chain volume) building at these levels. Cycle tops have very minimal distribution.
Tops are also marked by spikes in Dormancy (old coins being sold into strength)
The opposite is occurring. Dormancy has been going down since February, meaning old holders are waiting for higher prices to unload their bags.
Next up let's look at Illiquid supply, imo this is more important than coins moving off exchanges.
Coins are consistently moving to clusters of addresses that are statistically very unlikely to sell. This phenomenon is showing no sign of stopping.
Next up, MVRV Z-Score. This takes a ratio of market cap to realized cap (capitalization based on the price when coins were last moved) and adjusts it for volatility.
This metric gives distinct cycle peaks, we are seeing the opposite of a top, a downtrend.
Just a few more, bear with me... Now we have Reserve Risk. This measures the confidence of HODLers and is calculated as Price / HODL Bank.
When price is high and confidence is low, RR goes up. (vice versa)
This metric is also far from overheated.
More food for thought: Each cycle has 3 distinctive peaks of supply being held by short-term market participants.
We are still cooling off after just the first peak of the cycle.
...I'm sure you're wondering, "So ok Will, this all sounds great, but who is selling???"
The answer is newer, inexperienced market participants. The average age of coins being sold has been steadily trending downward since February.
So what does this all mean?
Coins are moving from weak hands to strong hands. We are in a massive mid-way consolidation of this cycle. Don't let short-term price action freak you out, this bull run still has a long way to go before becoming overheated. HODL on.
/FIN
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Recently two of my good friends, the head analyst at Glassnode (@_Checkmatey_) and head on-chain analyst at Ark Invest (@dpuellARK), created a new methodology to evaluate Bitcoin's economics called Cointime.
I've broken it down into simple digestible terms:
[THREAD 1/12]
The basis of the entire framework is the following:
Coins x Number of Blocks Held = Coinblocks
As an example, 4 BTC that have not moved in 4 blocks totals 16 coinblocks that have been created.
Assuming blocks are produced roughly every 10 minutes, one coin can create 144 coinblocks per day.
Ken Griffin is one of the most polarizing names in finance. His firm Citadel is the most successful hedge fund of all time, posting $66 billion in gains since inception.
Here's how he went from trading out of his dorm to amassing a fortune worth over $30 billion:
From a young age Ken Griffin was deeply interested in markets and after trading his personal capital throughout his teenage years.
In 1987 Griffin traded convertible bond arbitrage from his Harvard dorm room at the age of 19 where he even had a satellite to stream price feeds.
After graduating, Griffin started Citadel with $2.6 million which grew to $2 billion in just 8 years.
Fast forward to today, Citadel is the most successful hedge fund ever, posting $65.9 billion in net gains since its inception in 1990.
Recently I've been studying the greatest traders of all time.
Steve Cohen is one of the most infamous figures on Wall St. The billionaire and Mets owner even has a TV show called Billions written around him. Here are some takeaways on what made him so successful.
[THREAD 1/10]
Cohen had a love for markets from a young age, and after graduating from Wharton traded in the options arbitrage division at Gruntal & Co, generating the firm $100K a day.
Eventually, Cohen decided to launch his own hedge fund SAC Capital in 1992.
SAC Capital grew its AUM from $25 million to $16 billion with an average annual return of 30% -- becoming one of the best-performing hedge funds in the world.
However, in 2013 SAC pleaded guilty to insider trading charges and converted into a family office called Point72.
Recently I've been studying the greatest trades of all time.
Here's the story of how Paul Tudor Jones tripled his money by predicting one of the biggest stock market crashes of all time and became a legend:
[THREAD 1/11]
This is a great story of a contrarian trade from PTJ that utilized a combination of fundamental, technical analysis, and understanding of market infrastructure; solidifying him as a legendary figure on Wall Street.
Leading up to 1987, the stock market has red hot and the S&P 500 had tripled in just 5 years. Valuations were extremely high as euphoria and greed spread across Wall Street -- PTJ recognized this.
Over the last few days I've been studying the most famous trades of all time. Arguably the most legendary trade ever was when George Soros broke the Bank of England, giving him his immortal financial reputation.
How'd he do it & how much did he make in the process? [THREAD 1/12]
Soros's trade was rooted in his recognition of fundamental imbalances in the British economy. This is a great story of government market manipulation versus prevailing relentless free market forces.
Prior to the EU, a system called the European Exchange Rate Mechanism (ERM) existed, which was formed in 1979. Countries in the ERM agreed to fix currency exchange rates instead of ‘floating’ their currencies and letting free capital markets determine the rates of exchange.
For the data nerds, here's how to have ChatGPT create you charts/visuals with no coding experience:
First ask GPT to write you a Python script and specify what type of chart you want, where to pull the data from (file on your computer, API, etc.), axis' labels, etc. The more specific you are the better.
It will output code for you to copy.
Run the code in an IDE like Pycharm which is free to download online by copy/pasting the code and hitting the play button in the top right corner