Chainalytics Labs wants you to practise the exit

Consider the difference between selling a quarter of your Bitcoin and selling a quarter of whatever Bitcoin remains. Repeat the first instruction four times and the original holding is gone. Repeat the second and almost a third remains. It is a small arithmetic distinction with a large practical consequence. In Chainalytics Labs’ published exit method, the instruction is explicit: each sale uses 25% of the original holding. Somebody has thought about the moment when a market signal becomes a button you must press.

That moment is the interesting thing about this Rotterdam business. Its website offers the familiar ingredients of crypto research: models, rankings, charts. But its proposition reaches into the less glamorous work of building a portfolio, calculating quantities and deciding how to leave. The investor it addresses has limited time and wants a manageable set of decisions over years.

First, make the problem smaller

Chainalytics Labs lists 2022 as its founding year on LinkedIn. Co-founder Nick Dop dates his role to May that year. The company’s own account reaches further back, describing a crypto journey that began in 2014. Those dates describe different things: the formation of a business and the investing experience behind it. The team says it built tools while managing its own portfolio, then began sharing them.

The frustration it describes is familiar: unreliable information, too much research and emotions that interfere with decisions. Its product architecture splits that tangle into two questions. Which assets belong in the portfolio? When should exposure change? A coin-selection model can address the first question without pretending to settle the second. That separation gives the service its shape.

A blockchain has a price. It also has a pulse.

The Chaindicator is its answer to asset selection. It compares blockchain activity and adoption with market capitalization. Its inputs fall into three buckets: user activity, developer activity and financial activity. The aim is to identify networks that appear relatively undervalued under that framework. The word “relatively” does work here. A ranking compares candidates using chosen measurements; it does not establish a guaranteed future price.

The example portfolios then turn selection into allocation. There are three versions for different risk appetites. Bitcoin, Ethereum and Solana receive their own categories, alongside other fundamental, or layer-one, blockchains. The published selection rules include at least $100 million in market capitalization and decent liquidity. This narrows the field before anyone starts calculating how much of each coin to own.

The difficult verb is sell

Timing belongs to the Crypto Market Cycle Indicator and the Crypto Market Phase Indicator. The latter combines more than 20 on-chain, market, social and financial metrics into a daily score. Its descriptions move from accumulation through caution and profit-taking to sitting out after an exit. It packages a changing assessment of risk into language an investor can act on.

The cycle model’s methodology describes testing more than 50 on-chain metrics. Its published examples include long-term-holder profitability, reserve risk, market value relative to realized value, Twitter data and Coinbase app rankings. Inputs can carry different weights in the buy and sell models. A signal requires a score to cross a threshold and remain in that range for a specified number of days.

The staged exit spreads action across four sales rather than demanding one perfect moment. That is the design argument: make the average exit less dependent on a single day’s volatility. Historical tests can illustrate the rule, but selecting metrics for how well they describe past tops and bottoms leaves an obvious question about the next cycle. A neatly fitted past is still a past.

“Models are never perfect.”

Chainalytics Labs, cycle-indicator methodology

Then comes the unglamorous arithmetic

Portfolio tools handle what follows a decision. The Coin Mix Calculator translates an investment amount and target weights into coin quantities. The Portfolio Rebalancer accepts existing coins, their quantities, desired assets and target percentages, then calculates what to buy or sell using real-time prices. A correlation matrix lets users examine how two assets moved together over a selected period.

The company says it rebalances its own portfolios every two months, with extra signals for extraordinary market events. Its explanation explicitly mentions fees and taxes as reasons to avoid constant adjustment. This is a useful constraint on the promise of helpful software: a calculator can produce another allocation whenever asked, while changing a real portfolio has costs.

The inbox is free. The human costs extra.

The commercial offer has two levels. Free subscribers receive bi-weekly research, three example portfolios, blockchain rankings and action signals. A White Glove service starts at $1,500 and is advertised only in the Netherlands. Its dedicated description targets people considering more than $100,000 in crypto, with personal onboarding, wallet setup guidance and a contact available over a year. Human assistance is the paid layer above the research.

Adjacent services such as Glassnode and CryptoQuant offer on-chain data, charts and research. Chainalytics Labs’ editorial distinction is its packaged route from research to a portfolio action. That can suit someone who wants interpretation and calculations. An investor seeking raw data for an independent model has a different job to do. Someone unwilling to follow exit signals will also get less from a staged selling system.

Rehearse while the stakes are small

In a public LinkedIn update, the company urged readers to practise selling with a small portion of their portfolio, suggesting 1%. In June 2025 it also shared a stablecoin guide, addressing a destination for money after a sale. These details bring its product back to execution: the steps, the destination and the decisions made before the pressure arrives.

There is something here a reader can copy without adopting the company’s model. Write the allocation rule clearly. Calculate the actual quantities. Rehearse the transaction. Consider the costs. None of those steps proves that a cycle indicator will predict the next turn. They make a chosen plan more usable when the investor finally has to press the button.