Intraday Volatility Seasonality

# Intraday Volatility Seasonality - Hourly volatility profile

*Category: Volatility | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M5, M15, M30, H1*

## Short description

> Builds the instrument average hourly volatility profile and compares it with the actual range of the current bar. It separates normally quiet hours from genuine anomalies.

### Overview

Intraday volatility is not randomly distributed: it depends on the hour. The London and New York sessions produce ranges many times larger than overnight ones, and this profile repeats day after day with notable regularity. The practical problem is that an ordinary volatility indicator knows nothing about the clock: when it flags low volatility at three in the morning it is saying nothing useful, because it is always like that at that hour. Intraday Volatility Seasonality builds the instrument average hourly profile from the loaded history and compares it with the actual range of the current bar. The gold line shows how much volatility is expected at this hour, the histogram how much is actually being realized: together the two say whether the market is behaving as usual or whether something anomalous is happening in this specific time band.

### How the calculation works

1. The true range of each bar is divided by a long period ATR, giving a normalised range independent of the general volatility regime.
2. This normalisation is essential: without it the hourly profile would mostly reflect the quiet and agitated periods of the history rather than the hours.
3. For each bar the previous InpLookback bars are scanned, selecting only those falling in the same hour of the day.
4. The average of their normalised ranges is the expected value for this time band.
5. If fewer than InpMinSamples observations are available for that band no expectation is drawn, rather than showing an unreliable value.
6. The ratio between realized and expected range determines the histogram colour.

### How to use it

- Use the gold line to plan the day: it says at which hours it is worth being at the chart and at which it is not.
- The orange histogram flags activity far above normal for that hour: something is happening, this is not the usual session.
- The blue histogram flags an unusually quiet time band, often near holidays or ahead of major data releases.
- Adapt stops to the hourly expectation: a stop suited to the London open is completely out of proportion at four in the morning.
- Raise InpLookback for a more stable profile, knowing more history bars will be needed before the first useful value.

### Who it is for and on which timeframes

It targets intraday traders working across several sessions who want to understand when the market is genuinely doing something different from usual. It is designed for timeframes from M5 to H1: on higher ones a single bar spans several time bands and the concept loses meaning. It requires deep intraday history, at least a few weeks, because each time band must gather enough observations. It is not suited to instruments with irregular or very short trading hours, where some bands cannot gather enough data.

### Practical example of reading a signal

On EURUSD M15 it is two in the afternoon server time and the gold line reads 145: at this hour the instrument typically moves forty five per cent more than its general average, because US markets are about to open. The histogram reads 152, in line with the expectation and coloured grey: a normal day. The next day, at the same hour, the expectation is still 145 but the histogram reads 310 and is orange. This is not simply a wide bar, it is a bar twice as wide as normal for that hour: something specific is happening, and it is time to check the economic calendar before trading.

## Input parameters

| Parameter | Default | Description |
|---|---|---|
| `InpLookback` | 600 | History bars examined to build the profile. The wider it is the more stable the profile, but the heavier the computation. Internally capped at 3000. |
| `InpAtrPeriod` | 100 | ATR period used to normalise the range, making the profile independent of the quiet and agitated periods of the history. |
| `InpHighRatio` | 1.40 | Ratio between realized and expected beyond which activity is deemed anomalously high. |
| `InpLowRatio` | 0.60 | Ratio below which activity is deemed anomalously low. |
| `InpMinSamples` | 5 | Minimum observations required for a time band. Below this threshold the expectation is not drawn at all. |

## Advantages / strengths

- It separates hourly seasonality from genuine anomaly, a distinction no ordinary volatility indicator can make.
- Normalisation on the long ATR prevents the profile from reflecting quiet and agitated periods instead of hours.
- It has an immediate practical use in planning the trading day and sizing stops.
- It explicitly refuses to produce an expectation when data are insufficient, instead of showing a made up value.

## Limitations and warnings

- Scanning back hundreds of bars on every bar makes it the slowest of the category on the first pass.
- The profile depends on the broker server time: changing broker, or at the daylight saving switch, shifts the profile.
- It aggregates all weekdays: Monday and Friday have different profiles that are averaged together here.
- It requires deep intraday history and is unusable on instruments with heavily fragmented trading hours.

**No repaint:** values printed on a closed bar are never modified afterwards.

**Disclaimer.** This product is a technical analysis tool, not an automated trading system, and it offers no profit guarantee whatsoever. Financial markets carry the risk of total loss of the invested capital. Past performance is not indicative of future results. Every signal must be confirmed with your own analysis, a money management plan and prior testing on a demo account. The author is not responsible for trading decisions taken on the basis of this indicator.

## Suggested tags / keywords for MQL5

`seasonality`, `intraday`, `volatility`, `session`, `hourly profile`, `anomaly`, `no repaint`, `time`
제작자의 제품 더 보기
# Adaptive Slope Ribbon - ATR-normalised regression slope ribbon *Category: Trend | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Five linear regression slopes over growing horizons, normalised in ATR units and comparable across instruments. The histogram shows the mean slope coloured by the level of agreement between time scales. ## Fu
# Fractal Trend Channel - Structural channel from confirmed swings *Category: Trend | Difficulty: beginner | Window: chart window (overlaid on price) | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Step channel built from the last confirmed fractal swings, with a midline coloured by market structure: higher highs and lows, lower highs and lows, or mixed structure. ### Overview Reading structure through
# Volatility Adaptive MA - Variable speed moving average *Category: Trend | Difficulty: intermediate | Window: chart window (overlaid on price) | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M5, M15, M30, H1, H4* ## Short description > A moving average whose smoothing factor is driven by the ratio between short and long term volatility: it accelerates during breakouts and slows down in compressed phases, cutting false crossovers. ### Overview Eve
# Trend Persistence Index - Persistence versus randomness *Category: Trend | Difficulty: advanced | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M30, H1, H4, D1* ## Short description > Compares the direction changes actually observed with those expected from a purely random series. Above zero the market persists in one direction, below zero it keeps flipping. ### Overview In a random walk the sign of the
# Kalman Trend Filter - Level and velocity Kalman filter *Category: Trend | Difficulty: advanced | Window: chart window (overlaid on price) | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > A two state Kalman filter that simultaneously estimates price level and velocity. The gain self-adjusts: it trusts the model when data are consistent and re-adapts immediately to shocks. ### Overview The Kalman filter
# Multi Scale Trend Agreement - Consensus across eight horizons *Category: Trend | Difficulty: beginner | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M5, M15, M30, H1, H4, D1* ## Short description > Checks price position against its own average on eight geometrically spaced scales and condenses the result into a single score from -100 to +100. ### Overview A trend worth the name is recognised from whatev
# Directional Efficiency - Net path versus gross path *Category: Trend | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Signed ratio between the net distance travelled by price and the gross path actually covered. It separates straight trends from disorderly advances that burn capital. ### Overview Two markets can rise by the same amoun
# Trend Age Counter - Regime age versus typical duration *Category: Trend | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M30, H1, H4, D1* ## Short description > Counts how many bars the current regime has lasted and compares it with the average duration of all past regimes on the same instrument. It measures trend maturity, not strength. ### Overview Every trend indicator answer
# Regression Confidence Baseline - Bands on residual error *Category: Trend | Difficulty: intermediate | Window: chart window (overlaid on price) | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Linear regression baseline with bands built on the residual standard error instead of the price standard deviation. Bands widen when the move loses order, not when price runs. ### Overview Classic volatility band
# Trend Exhaustion Meter - Composite exhaustion score *Category: Trend | Difficulty: advanced | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M30, H1, H4, D1* ## Short description > A 0 to 100 score combining stretch from the mean, directional saturation and momentum fade. It measures the continuation risk of a move, not its reversal. ### Overview No single symptom says a trend is about to end, but when se
# Normalized Momentum Z - Momentum in standard scores *Category: Momentum | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Standardises momentum against its own recent historical distribution and returns a z score. A value of +2 marks a thrust stronger than roughly 97 per cent of the instrument recent moves. ### Overview Raw momentum ha
# Momentum Curvature - Acceleration versus velocity *Category: Momentum | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Measures price acceleration, the second derivative of the smoothed series, and compares it with velocity. It detects loss of thrust before direction changes. ### Overview Anyone who drives knows the brake pedal acts o
# Rate Of Change Spectrum - Which horizon is driving *Category: Momentum | Difficulty: advanced | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M30, H1, H4, D1* ## Short description > Standardises the rate of change over six horizons and identifies which one is driving the move. It shows the dominant scale score and its rank. ### Overview Knowing the market is rising tells you little. Knowing whether it ri
# Impulse Strength Gauge - Movement weighted by volume *Category: Momentum | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M5, M15, M30, H1, H4* ## Short description > Weights every bar by combining body size in ATR units with volume relative to its average, then accumulates the contributions. It separates wide but empty bars from genuinely supported impulses. ### Overview A wide
# Dual Horizon Momentum Delta - Short versus long, time corrected *Category: Momentum | Difficulty: advanced | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Compares momentum on two horizons after normalising them by the square root of time, a correction without which the long horizon would always look larger by pure construction. ### Overview Directly comparing
# Impulse Retrace Ratio - Impulse size versus retracement size *Category: Momentum | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Groups consecutive same sign changes into runs and compares the average size of bullish runs with that of bearish ones. It measures whether impulses are larger, not more numerous. ### Overview A healthy upt
# Momentum Thrust Counter - Counting thrusts beyond threshold *Category: Momentum | Difficulty: beginner | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Counts bars moving beyond an ATR multiple and reports the net balance. The total line separates calm from battle, both of which show a balance near zero. ### Overview Most bars on a chart carry no information: t
# Momentum Divergence Scanner - Divergences without repaint *Category: Momentum | Difficulty: intermediate | Window: chart window (overlaid on price) | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Flags price to momentum divergences using confirmed swings only. The arrow appears on confirmation and is never withdrawn, unlike almost every other divergence indicator. ### Overview Almost every divergence
# Elastic Momentum Band - Momentum driven asymmetric channel *Category: Momentum | Difficulty: intermediate | Window: chart window (overlaid on price) | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4* ## Short description > A channel deforming with momentum: the band favouring the move draws closer to the average, the opposite one moves away. It makes breaks in direction easier and counter breaks more selective. ### Overview A symm
# Momentum Entropy Filter - Order versus randomness in thrusts *Category: Momentum | Difficulty: advanced | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M30, H1, H4, D1* ## Short description > Computes the Shannon entropy of the recent momentum distribution and converts it into an order score from 0 to 100. It separates markets with recurring structure from those without regularity. ### Overview Shannon e
# Realized Volatility Cone - Historical volatility percentiles *Category: Volatility | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M30, H1, H4, D1* ## Short description > Draws realized volatility together with the percentiles of its own historical distribution. It tells whether the current level is high or low for that specific instrument. ### Overview Knowing that realized vo
# Volatility Forecast EWMA - Forecasting the next bar *Category: Volatility | Difficulty: advanced | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Estimates next bar volatility with an EWMA model on variance, the same scheme used in portfolio risk management, alongside the volatility actually observed. ### Overview Every volatility indicator looks backwards and
# Volatility Regime Classifier - Classification with hysteresis *Category: Volatility | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Classifies volatility into four regimes using a hysteresis state machine, eliminating the constant flipping typical of fixed thresholds. The active threshold is drawn. ### Overview Classifying volatility
# Garman Klass Volatility - An estimator using the whole OHLC *Category: Volatility | Difficulty: advanced | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > A volatility estimator using open, high, low and close instead of closes only. Its ratio to the classic estimate separates intra-bar movement from close-to-close movement. ### Overview The standard deviation o
# Overnight Gap Risk - The risk stops cannot cover *Category: Volatility | Difficulty: intermediate | Window: separate window below the chart | Markets: Stocks | Suggested timeframes: H1, H4, D1* ## Short description > Splits each bar change into gap and intra-bar movement, and reports the share of risk attributable to gaps, the part no stop can protect against. ### Overview The risk of a position held past the close is not the same as that of the same position closed intraday, and the dif
# Volatility Breakout Projection - Levels projected from the open *Category: Volatility | Difficulty: beginner | Window: chart window (overlaid on price) | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M5, M15, M30, H1* ## Short description > Anchors a reference to each session open and projects two pairs of levels computed as fractions of the average daily range. Levels stay fixed for the whole session. ### Overview If an instrument covers on ave
# Compression Expansion Detector - Squeeze and release *Category: Volatility | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: M15, M30, H1, H4, D1* ## Short description > Measures how far short term volatility has narrowed relative to the reference, counts how many bars the compression has lasted and highlights the bars following the release. ### Overview Volatility is not stable:
# Downside Upside Vol Ratio - Risk asymmetry *Category: Volatility | Difficulty: intermediate | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: H1, H4, D1* ## Short description > Computes two separate semi-deviations, one on negative returns only and one on positive ones, and reports their proportion. It measures an asymmetry standard deviation conceals. ### Overview Standard deviation treats an upward and a
# Volatility Shock Decay - Half-life of post-shock recovery *Category: Volatility | Difficulty: advanced | Window: separate window below the chart | Markets: Universal (Forex, indices, commodities, crypto, stocks) | Suggested timeframes: H1, H4, D1* ## Short description > Estimates the persistence coefficient of volatility and derives its half-life, how many bars a deviation from normal needs to halve. It also shows the size of the current shock. ### Overview When volatility explodes, the
# Volume Price Efficiency - Lo spessore del mercato *Categoria: Volume | Difficolta: intermedio | Finestra: finestra separata sotto il grafico | Mercati: Universale (Forex, indici, materie prime, crypto, azioni) | Timeframe consigliati: M5, M15, M30, H1, H4* ## Descrizione breve > Misura quanto prezzo viene spostato da una unita di volume. Valori alti indicano un mercato sottile, in cui pochi ordini muovono molto; valori bassi indicano assorbimento. ### Panoramica Quanto prezzo serve per a
필터:
리뷰 없음
리뷰 답변