Describe where price sits within its most recent intraday range
Describes the shape of each asset's most recent intraday window. It reads the intraday candle series and computes where the last close sits between the window's own high and low, the net change across the window, the average distance price travels within a single bar, whether that per-bar range has been widening or narrowing, and how the bars divide into up, down and unchanged. Bar count and bar interval are reported per asset because they differ by market: a crypto window covers a continuous 24 hours, while an equity window is usually a single regular session. Measurements that the available window is too short to support are omitted rather than estimated, and assets whose market was closed are named as not covered. It describes observed conditions only and does not identify an entry, an exit, a target, or a transaction.
Descriptive statistics on an intraday window - and a model of how to state measurements without inferring from them.
WHAT IT COMPUTES. Where the last close sits between the window's own high and low; the net change across the window; the average distance price travels within a single bar; whether that per-bar range has been widening or narrowing; and how the bars divide into up, down and unchanged.
CLOSE LOCATION IN RANGE is (close - low) / (high - low), running 0 to 1. It is the same quantity that sits inside Chaikin Money Flow's multiplier and inside the stochastic oscillator (Lane), where it is computed over a lookback window rather than a single bar. It says one thing precisely: whether the session finished nearer its high or its low. Undefined when high equals low.
PER-BAR RANGE is a volatility measure in price units, closely related to ATR without the gap terms. Whether it is widening or narrowing connects to one of the most robust facts in empirical finance: VOLATILITY CLUSTERS. Large moves tend to be followed by large moves and quiet by quiet - the observation behind the ARCH and GARCH family of models (Engle 1982, Bollerslev 1986), for which the underlying work received a Nobel prize. That is why an expanding range is genuinely informative about the near future of RANGE, and says nothing about DIRECTION. Volatility is forecastable to a degree that returns are not, and confusing the two is a very common error.
UP/DOWN/UNCHANGED BAR COUNTS are a crude distribution summary. Note the asymmetry a student should catch: a window can have far more down bars than up bars and still be positive on net, if the up bars are larger. Counts discard magnitude, so read them beside the net change rather than instead of it.
WHY THE BAR COUNT AND INTERVAL ARE REPORTED PER ASSET. A crypto window covers a continuous 24 hours; an equity window is usually one regular session. Those are different sample sizes over different clock spans, so the same statistic is not comparable between them without knowing which it came from. Publishing the count is what makes the comparison checkable instead of assumed.
WHAT MAKES THIS ANALYSIS UNUSUALLY DISCIPLINED, and it is worth pointing at explicitly as a standard. Measurements the window is too short to support are OMITTED rather than estimated, and assets whose market was closed are named as not covered. Refusing to compute a statistic that the data cannot support - rather than returning a number with a hidden caveat - is how a careful research tool behaves, and it is the same principle as an analysis that skips when its inputs are absent.
It describes observed conditions and does not identify an entry, an exit, a target or a transaction.
Published reports are readable without an account. The newest is Ether (ETH) and XRP extend a month-long slide as Bitcoin falls below $75,000: trend, momentum and news (Nov 9, 2026). Create an account to run research on the stocks and crypto you choose.