Ethereum Price: 30-Day Close, Volume & Volatility

Ethereum price is often discussed as a single live quote, but that view can miss the shape of the move. This page focuses on Ethereum’s daily closing price across a 30 days snapshot, giving readers a cleaner way to see recent direction, pace, and consistency. Instead of treating ETH as one isolated print, the chart titled ETH daily price, last 30 days shows a short-horizon path built from 30 daily observations. That matters because a sequence of closes can reveal whether the market has been steadily advancing, stalling, or swinging around without clear follow-through.

The point of this view is not to replace longer-term history. It is to make the recent regime easier to read. In this window, the first observation appears on 2026-03-30 with price at 1983.0 and volume at 10.33 billion, followed by 2026-03-31 at 2024.0 with 17.47 billion in volume, and 2026-04-01 at 2105.0 with 21.5 billion. Those early prints help frame the starting conditions for the month-long move. By the end of the series, late-window observations include 2026-04-26 at 2338.0 on 7.1 billion, 2026-04-27 at 2319.0 on 14.77 billion, and the latest observation on 2026-04-28 at 2288.0 on 14.23 billion.

Read together, price, volume, and realized volatility offer more context than price alone. Over this window, ETH ranged from a 30-day low of 1983.0 to a 30-day high of 2389.0, with a 15.38% change across the snapshot and 2.41% realized volatility. That combination helps answer a more useful question than “where is ETH now?” It helps show how ETH got there, whether participation looked active, and whether the path was relatively orderly or more erratic.

The metric is built from daily close data. Each point in the series represents Ethereum’s closing price for a given day, displayed on a default line chart so the path is easy to follow from the first close in the window to the latest close. The latest price shown is simply the most recent daily close in the series, while the 30-day change compares that latest close with the first close in the snapshot. In this case, the series starts at 1983.0 and ends at 2288.0, producing a 15.38% move across the window. Realized volatility summarizes how variable the daily path has been over the same period, here measured at 2.41%. Trading volume is paired with the closes to show whether price movement occurred alongside broader market activity. In practical terms, the formula is less about a complex calculation than about combining three descriptive layers: the closing price path, the amount of participation behind it, and the degree of day-to-day variability inside the same 30 days snapshot.

Daily closes are useful because they reduce some of the noise that comes with intraday trading. Ethereum can move sharply within a session and then finish the day in a very different place. By focusing on the close, the chart emphasizes where the market settled rather than every temporary swing along the way. That makes short-term trend changes easier to interpret. A sequence of rising closes can suggest strengthening momentum, while a series of mixed closes may point to consolidation or hesitation even if intraday headlines looked dramatic.

Volume adds an important second layer. Price can move on light activity or on broad participation, and those are not always read the same way. When a move is accompanied by stronger trading activity, traders often view it as more broadly engaged. When the path advances or retreats on thinner activity, the move may look less firmly supported. The early part of this snapshot shows volume readings such as 10.33, 17.47, and 21.5 billion alongside rising prices, while the later observations include 7.1, 14.77, and 14.23 billion as the market eased back from late-window levels. That does not explain cause, but it does help describe how active the tape was during different parts of the move.

Volatility provides the third layer. Realized volatility does not tell you whether Ethereum went up or down; it tells you how variable the path was while it moved. A market can rise with relatively contained day-to-day changes, or it can reach a similar endpoint through larger swings that feel less orderly. Here, 2.41% realized volatility helps frame the recent path as something more specific than a simple gain or loss. Combined with the price range from 1983.0 to 2389.0, it gives a better sense of whether the window was smooth, jumpy, or somewhere in between.

That is why the trio of price, volume, and volatility matters. Price shows direction. Volume shows participation. Volatility shows dispersion, or how spread out the day-to-day movement has been. Together they create a more complete short-horizon picture than any single line can provide. For readers trying to understand whether the last month looks like momentum, consolidation, rebound, or churn, this kind of combined snapshot is often a more practical starting point than a standalone quote.

This chart should be read as a short-term slice of a much longer Ethereum market history. A 30 days window is useful precisely because it narrows the focus: it highlights the local regime without forcing every interpretation through a full-cycle lens. In this snapshot, ETH begins at 1983.0, reaches as high as 2389.0, and later settles below that peak. That kind of path can fit several short-term narratives, including momentum, consolidation after strength, or a rebound that met resistance near the upper end of the range.

The key is to avoid overreading the window. A positive 15.38% move across the period says something meaningful about recent direction, but it does not describe Ethereum’s entire structural trend. Short-horizon strength can occur inside a broader sideways market, and a late pullback can happen even when the local trend remains constructive. Historical context matters because the current window is best treated as a local condition report, not a final statement about the asset’s full cycle. It tells you what the last month looked like, not what every prior month means.

Traders often use this kind of Ethereum price view to judge whether the latest move is still trending or beginning to fade. The line of daily closes helps show whether advances are being sustained from one session to the next or whether gains are being given back quickly. Because the chart uses closes rather than intraday prints, it is especially helpful for seeing whether the market is consistently accepting higher or lower levels over time.

Volume acts as a confirmation layer. If price is moving and participation is active, the move may look more broadly engaged. If price is moving while activity stays muted, traders may treat the signal more cautiously. Volatility then helps frame the character of the move. A market can trend in a relatively smooth way, or it can trend with sharp reversals that make the path harder to trust. Used together, these inputs help traders describe the market’s recent behavior without assuming that direction alone tells the whole story.

Ethereum price answers a different question than volume or realized volatility. Price shows direction: where ETH closed each day and how the path developed over the window. Volume shows participation: how much trading activity accompanied those closes. Realized volatility shows variability: how much the daily path moved around, regardless of whether the net result was up or down. These are related metrics, but they are not interchangeable.

That distinction matters. A rising market can still have high volatility if the path is uneven, and a flat market can still show meaningful volatility if it swings around before ending near where it started. Likewise, high volume does not automatically mean the price trend is strong; it only tells you that the move occurred with heavier activity. Daily close data is also cleaner for trend reading than intraday ticks or isolated prints because it reflects where the market finished the session. For short-term interpretation, that often makes the signal easier to compare across days.

This metric is descriptive, not explanatory. It shows how Ethereum moved over the last 30 days, but it does not tell you why it moved. Macro news, crypto-specific catalysts, derivatives positioning, and broader risk sentiment can all influence the path, yet none of those causes are contained in the chart itself. Volume and volatility help add context, but they do not establish causality on their own.

The window is also narrow by design. That makes it useful for spotting recent shifts, but it can miss longer cycles and structural changes that only become clear over a broader history. Daily closes can hide intraday extremes, reversals, and failed breakouts that were important during the session but not visible at settlement. In other words, this chart is strong at summarizing the recent path, but it should be paired with wider context if the goal is to understand bigger market structure.

The chart is easiest to read as a path from the first close to the latest close. Because it is a line chart with day on the horizontal axis and price on the vertical axis, the emphasis is on continuity rather than isolated points. Start by locating the opening level of the window, then follow whether the line is making generally higher closes, lower closes, or alternating without a clear slope. Short pullbacks inside a broader rise do not necessarily break the trend; they may simply show pauses or profit-taking within the same local regime.

Next, compare the shape of the line with the volume bars or accompanying volume data. Spikes in activity near turning points can suggest stronger participation in the move, while quieter sessions may indicate less conviction. Finally, use realized volatility to judge whether the path was steady or erratic. A move from the lower end of the range toward the upper end can look very different depending on how smooth the intermediate steps were. Reading all three layers together usually gives the clearest short-term picture.