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THE’on-chain analysis it is the direct reading of the data recorded on the blockchain: wallet movements, flows to exchanges, behavior of large holders, distribution of purchase prices. Unlike technical analysis — which studies price charts — on-chain directly reads what investors are doing with their assets, not just what price they are trading at.
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The result is a level of information that does not exist in traditional markets: no one knows how many Apple shares an American pension fund holds in its portfolio in real time, but on Bitcoin and Ethereum this information is public and readable by anyone. This guide explains the main indicators, what they mean and how to use them to navigate the market.
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Exchange flow: what investors do with their coins
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The first indicator to understand is the flow of cryptocurrencies to and from exchanges. When a holder moves their Bitcoin or ETH to an exchange, they are almost always preparing to sell it. When he moves them out — to a personal wallet or cold storage — he is reducing potential selling pressure.
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High exchange inflow = many coins arriving on the platforms → increasing selling pressure → potentially bearish signal.
High exchange outflow = coins leaving exchanges → accumulation → potentially bullish signal.
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A practical example: during the February 2026 collapse, ETH inflows on exchanges reached 1.06 million coins in a single day — the signal that many holders were moving towards selling. Over the next three weeks, that figure plummeted 90%, to 126,000 ETH – a sign that the selling pressure was wearing off before the price even rebounded. Anyone reading the on-chain had this information before it was visible on the chart.
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Long-term holders and short-term holders: who controls the market
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A second fundamental axis inon-chain analysis it is the distinction between those who have held for a short time and those who have held for a long time. Analytics platforms generally classify as long-term holder (LTH) those who have not moved their coins for at least 155 days; everyone else is short-term holder (STH).
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This is important because the two groups behave in opposite ways:
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- The STHs they tend to sell during dips (capitulation) and buy during rallies (FOMO). They are the most reactive and volatile component.
- The LTHs they tend to accumulate during periods of fear and distribute at peaks. They are the “smart money” of the crypto market: historically those who buy when everyone is selling.
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When LTHs begin to net accumulate — that is, when more coins enter their wallets than exit — it is one of the most reliable signals that the market is approaching a bottom. It does not guarantee an immediate reversal, but indicates that those who have already gone through multiple cycles are choosing to buy.
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Cost basis and URPD: where purchase prices are concentrated
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Every coin on the blockchain has an associated purchase price — technically the price of the last move. The distribution of these prices is called URPD (Unspent Realized Price Distribution) and shows where the average purchase costs of current holders are concentrated.
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Why is it useful? Because areas with high concentration of purchases become significant technical levels:
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- Area with many purchases below the current price → support: those who are in profit are unlikely to sell in panic.
- Area with many purchases above the current price → resistance: those who are at a loss tend to sell when they break even.
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In the case of Ethereum as of February 2026, over 1.01 million ETH had been purchased in the $1,995-2,015 range: a technical resistance based not on graphical analysis, but on the real purchase prices of over one million coins. That type of resistance is much more concrete than a line drawn on a graph.
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Open interest and funding rate: the sentiment of derivatives
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On-chain analysis also extends to the derivatives market, where public data from open contracts reveals how leveraged traders are positioning themselves.
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Open interest is the total value of futures and perpetual contracts open on the market. Very high open interest in a period of declining prices signals that many traders are betting short with leverage — a condition that can quickly escalate into a short squeeze if the price reverses.
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Funding installments it is the rate that long traders pay to short traders (or vice versa) to keep positions open on perpetual contracts. When the funding rate is strongly negative, it means that the market is dominated by short positions: everyone is betting on the decline. It is paradoxically a bullish signal, because it indicates that the bearish positioning is extreme and vulnerable to a rapid reversal.
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This is exactly what happened during the bitcoin short squeeze February 26, 2026: negative funding rates, high open interest, price reversal → $400 million of shorts liquidated in 24 hours. Those who monitored this data before the event had a real information advantage.
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Realized cap and MVRV: is the market expensive or cheap?
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Two widely followed macro indicators are the Realized Cap and the relationship MVRV.
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There Realized Cap it is the market capitalization calculated not at the current price, but at the price of the last movement of each coin. It is basically an estimate of the “total cost” of all the Bitcoin or ETH in circulation. If the current market cap is much higher than the realized cap, the market is in aggregate profit — and historically this coincides with periods of euphoria and distribution.
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The MVRV (Market Value to Realized Value) is the ratio between the two: market cap / realized cap. Historically:
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- MVRV > 3.5 → euphoric zone, close to the maximum of the cycle
- MVRV between 1 and 2 → neutral zone
- MVRV < 1 → the market is in aggregate loss, historically a zone of accumulation
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It is not a precise timing indicator, but it helps to understand “where we are in the cycle” with objective data rather than sensations.
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Bitcoin Dominance: the system risk indicator
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There dominance of Bitcoin measures the percentage of the total crypto market capitalization held by BTC. When dominance rises, it means that capital is concentrating on the asset perceived as safer, abandoning altcoins. When it drops, capital moves towards alternatives – a sign of risk-on and often a prelude to an “altcoin season”.
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During bear markets, Bitcoin dominance tends to rise: investors prefer the relative stability of BTC. In mature bull markets, it goes down. The ETH/BTC ratio — which measures the price of Ethereum in terms of Bitcoin — is one of the most followed indicators for understanding when altcoins are gaining or losing relative ground.
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How to use them together: a practical framework
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None of these indicators work well on their own. The power ofon-chain analysis emerges when you read multiple signals together and look for convergence. A practical method to orient yourself:
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- Accumulation phase (possible minimum): exchange outflow increasing + LTH accumulating + negative funding rate + MVRV below 1 + sell pressure decreasing.
- Deployment phase (possible maximum): exchange inflow increasing + LTHs distributing + strongly positive funding rate + MVRV above 3 + open interest at maximum.
- Neutral/uncertain zone: mixed signals, wait for convergence before acting.
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The key point is that this data doesn’t say “buy tomorrow” or “sell in a week.” They say what stage of the cycle we are likely in and how healthy or tight the market is at that time. They are tools for context, not timing.
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Free tools to get started
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You don’t need an expensive subscription to access basic on-chain data. These tools offer a free version that is sufficient for most uses:
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- Glassnode (glassnode.com) — the reference for Bitcoin and Ethereum. MVRV, LTH/STH, exchange flow, realized cap. The free plan covers weekly data.
- CryptoQuant (cryptoquant.com) — great for exchange flows and miner analysis. More accessible interface than Glassnode.
- Coinglass (coinglass.com) — specializing in open interest, funding rates and derivative settlements. Free and updated in real time.
- Look Into Bitcoin (lookintobitcoin.com) — collects the main Bitcoin macro indicators in a single visual dashboard. Excellent starting point.
- Dune Analytics (dune.com) — for those who want to explore custom on-chain data on any EVM compatible chain. Requires minimal SQL.
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The initial learning curve is steep, but even just reading exchange flows and LTH behavior once a week already gives a significant information advantage compared to those who rely only on price and social sentiment.
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The limits of on-chain analysis
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On-chain analytics is powerful, but it has clear boundaries that are important to know. The first limit is latency: the data reflects movements that have already occurred, not predictions. A high exchange outflow means that someone has already withdrawn their coins, not that they will withdraw them tomorrow.
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The second limitation is interpretation. Not all movements to an exchange mean imminent sale: some platforms use internal wallets for operational reasons, and large institutional holders move coins for custody, not trading, reasons. Reading data without context can generate false signals.
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The third limitation concerns coverage: on-chain works well for Bitcoin and Ethereum, where the blockchain is public and historical data is abundant. On many smaller altcoins the datasets are scarce or unreliable. On-chain analytics is an additional tool, not a substitute for common sense and risk management.
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Crypto markets are volatile and often irrational in the short term, as demonstrated recently February 2026 crash. But those reading the data on-chain see the structure beneath the surface — and are rarely completely surprised by the extreme movements that shock everyone else.
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