Bitcoin research built for decisions
AxelAdlerJr.com is the research site and data hub behind the Adler ecosystem. It brings together on-chain metrics, derivatives, ETF flows and macro into a structured view of the Bitcoin market.
The goal of the site is to make Bitcoin market structure readable. Instead of forcing investors to interpret a flood of disconnected indicators, it organizes the signal into charts, frameworks and decision tools that can be used in practice.
Adler AM is the briefing layer within that ecosystem. It delivers short daily Bitcoin analysis built on the same research framework, while the site provides the deeper chart library, structural context and reference pages behind it.
Who is Axel Adler Jr.
Axel Adler Jr. is a CryptoQuant Verified On-Chain Analyst and a C-level executive at a leading European investment bank, where he leads advanced analytics for equity markets.
His Bitcoin research has been cited in more than 11,000 financial media publications. On X, his work is followed by investors, analysts and traders who use on-chain and market structure analysis to navigate Bitcoin with more discipline and less guesswork.
The focus of that work is straightforward: separate signal from noise and explain Bitcoin through measurable market behavior rather than headlines, narratives or emotion.
What the research covers
The research focuses on the parts of the Bitcoin market that matter most in real time:
- on-chain valuation and profitability
- holder behavior and supply dynamics
- derivatives, leverage and funding pressure
- ETF flow structure and liquidity
- macro context and risk conditions
- repeatable cycle behavior across market regimes
This approach treats Bitcoin as a market with structure, not as a stream of opinions. The objective is to identify where the market is, what is changing, and which signals confirm or reject a move.
The Adler ecosystem
The Adler ecosystem is designed to give investors a full research workflow, from fast daily context to deeper long-cycle analysis.
Adler AM
Daily Bitcoin research built to be read quickly and used immediately. The goal is to turn a complex market into a short, useful briefing.
Weekly Engine
A weekly decision framework designed to answer the question that matters most: should risk be added, reduced, or held steady this week?
Terminal
An AI-powered Bitcoin analysis workspace that combines on-chain data, derivatives, ETF flows and macro into one decision framework.
Education
A growing library of guides and frameworks for investors, traders and builders who want to understand Bitcoin beyond surface-level commentary.
Research philosophy
Bitcoin moves through repeatable regimes shaped by liquidity, leverage, miner behavior, holder behavior and macro conditions. Those regimes can be measured.
That is the foundation of the research.
The purpose of the research is not to predict every short-term move. It is to improve decision quality by putting price action in context. A good framework should help answer questions like these:
- Is the market still in a compression phase, or already in expansion?
- Is leverage supporting the move, or making it fragile?
- Are holders distributing, absorbing, or resetting cost basis?
- Are ETF flows confirming risk appetite, or diverging from price?
- Is macro helping the move, or becoming a headwind?
When those questions are answered with data instead of instinct, the market becomes much easier to read.
My Bitcoin framework is built around one central idea:
Bitcoin moves through repeatable market regimes, but those regimes must be measured, not guessed.
The process starts with Bitcoin itself. It leads the broader crypto market, sets the direction for risk appetite, and usually defines whether the rest of the market is expanding or under pressure.
The second layer is the cycle. Bitcoin still tends to move around multi-year phases shaped by halvings, liquidity, holder behavior, leverage, and macro conditions. The exact timing changes, but the structure often repeats.
The third layer is the decision. The goal is not to predict every short-term move. The goal is to identify whether Bitcoin is in accumulation, expansion, risk, or correction, and then adjust exposure with data instead of emotion.
That is the framework behind the research: measure the regime, define the risk, wait for confirmation, and repeat the process every cycle.
Start here
If you are new to the site, these pages are the best place to begin.
Core framework
Valuation and cycle structure
Holder behavior and profitability
- Bitcoin NUPL
- Bitcoin SOPR
- Bitcoin STH SOPR
- Bitcoin LTH SOPR
- Bitcoin LTH vs STH Supply
- Bitcoin Supply in Profit
- Bitcoin Supply in Loss
Liquidity, leverage and flows
Who this is for
This research is for investors, analysts and traders who want a more structured way to understand Bitcoin.
It is built for people who want:
- evidence-based Bitcoin research
- a clearer read on cycle structure
- a framework for valuation, profitability and leverage
- shorter analysis that still carries decision value
- tools they can use every day, not just read once
Final note
If you want a clearer way to read Bitcoin without relying on headlines, narratives or guesswork, you are in the right place.
Start with the Bitcoin On-Chain Analytics Hub, explore the Bitcoin Analysis Framework, and use the research library to build your own view of the market from data.