CCI Divergence Volume Breakout [josseliani]CCI Divergence Volume Breakout combines confirmed CCI divergence with a relative-volume candle level. It waits for a confirmed close beyond that candle's high or low before displaying a BUY or SELL signal, and it can optionally map Entry, a volume-candle-based stop, 1R, and historical R-reach statistics.
The default settings are tuned for XAUUSD on the 7-minute chart, but the indicator can be adapted to other instruments and timeframes. The statistics dashboard updates for the current symbol, timeframe, loaded chart history, and selected inputs, making it easy to see how different settings affect the sample size and historical R-reach rates.
→ HOW I USE IT
The default settings are the configuration I currently use for XAUUSD on the 7-minute chart.
Seven minutes is the favorite timeframe of my wonderful wave-analysis teacher. I built this version around the way he studies the market: first CCI divergence, then a meaningful volume spike. After that, he moves on to his own wave-analysis methods, including trendlines, wave count, structure, and broader market context. This indicator does not reproduce or replace his complete method. I use it as a supporting tool within my own wave analysis.
With the default settings, the script first searches for a confirmed CCI divergence. It then selects a qualifying volume candle connected to that divergence. The first search covers the divergence span; if necessary, it checks the area around the second pivot and then watches the post-confirmation candidate window. A qualifying candle must have volume of at least 1.5 times its 20-bar average.
For a bullish divergence, the high of the selected volume candle becomes the confirmation level. A BUY signal appears only after a candle closes above that high within the permitted breakout window.
For a bearish divergence, the low of the selected volume candle becomes the confirmation level. A SELL signal appears only after a candle closes below that low within the permitted breakout window.
The optional trade map starts from the open of the candle after the signal. It displays an Entry line, a stop behind the opposite edge of the exact volume candle plus the selected ATR delta, and a 1R reference target.
I use the dashboard to compare configurations rather than to treat one historical percentage as a promise. For example, changing the minimum volume multiple, pivot-matching radius, maximum distance between pivots, candidate-search window, or breakout window changes how often historical observations reached 0.5R, 1R, 2R, and 3R. This helps me see the trade-off between signal selectivity and historical excursion.
→ HOW THE INDICATOR WORKS
→ 1. Automatic CCI pivot scan
The script evaluates confirmed CCI pivots using strengths 3, 5, 7, and 9. The first pivot must be beyond the selected extreme threshold. The second pivot may form closer to the center of the oscillator.
A bullish divergence requires price to form a lower low while CCI forms a higher low. A bearish divergence requires price to form a higher high while CCI forms a lower high.
CCI pivots require bars on the right to become confirmed. For that reason, divergence lines are anchored to their historical pivot candles only after confirmation. They do not represent information that was available on the original pivot candle. BUY and SELL signals are evaluated only on confirmed closes after the divergence has been confirmed.
→ 2. Price-pivot matching
CCI and price do not always turn on exactly the same candle. Price Pivot Match Radius searches on both sides of each CCI endpoint for the corresponding price high or low.
Maximum Price/CCI Span Difference then checks that the two price pivots and the two CCI pivots describe approximately the same market swing. Lower values require tighter alignment; higher values allow more flexibility.
→ 3. Relative-volume candle selection
When a divergence becomes confirmed, the script first searches its pivot-to-pivot span for qualifying volume candles and selects the qualifying candle with the greatest reported volume. If that search finds none, it also checks the area around the second pivot. Search After Divergence then defines how many new bars after confirmation may supply a qualifying candidate. Volume is measured relative to its moving average:
Relative volume = candle volume / average volume
The default requirement is 1.5 times the 20-bar average. Candle direction is not used. For a bullish setup, the selected candle's high becomes the level. For a bearish setup, its low becomes the level.
Maximum Candidates controls how many qualifying volume levels one divergence may create. You can use up to three qualifying volume-candle candidates for each confirmed divergence. The default is one to keep the chart and signal source unambiguous. With this default, an already selected historical candidate fills the single slot; otherwise, the first qualifying post-confirmation candidate can fill it.
→ 4. Breakout confirmation and signal window
The volume level begins as gray. It changes to the bullish or bearish color only when price closes beyond it on a confirmed candle:
Bullish divergence: confirmed close above the selected volume candle's high.
Bearish divergence: confirmed close below the selected volume candle's low.
Breakout Signal Window defines how many bars that exact volume level is permitted to produce a BUY or SELL signal. The count begins when the level is created. Once the window expires, the level cannot trigger a late signal and cannot add a late observation to the statistics.
→ 5. Expired levels
Keep Expired Levels Visible separates signal validity from visual analysis.
When it is enabled, an unbroken level continues as a gray reference after its signal window expires. The expired line is visual only: it cannot produce a BUY or SELL signal and is not reactivated by a new calendar day, exchange day, or session. It remains visible until a newer qualifying volume level replaces it.
When Keep Expired Levels Visible is disabled, the gray line ends when its breakout signal window expires.
This indicator does not carry or re-arm levels according to a calendar boundary or timezone.
→ OPTIONAL TRADE MAP
The trade map is a visual measurement tool, not an automated order-placement system.
Entry: open of the candle following the confirmed BUY or SELL signal.
Stop: opposite edge of the exact volume candle that produced the signal, plus the selected ATR delta.
1R: one initial-risk unit from Entry.
The map helps compare the signal with the user's own execution, market structure, and risk plan. It is not financial advice and does not account for spread, slippage, commissions, or individual position sizing.
→ STATISTICS DASHBOARD
The dashboard reports historical reach rates for the current symbol, timeframe, loaded chart history, and selected inputs. It is designed for configuration comparison.
Completed: observations that reached the stop, reached 3R, or reached the maximum evaluation window.
Reached >=0.5R: completed observations whose maximum favorable excursion reached at least half of the initial risk.
Win Rate >=1R: completed observations that reached at least 1R before the stop.
Reached >=2R / >=3R: completed observations that reached those excursion levels before the stop.
Average MFE: average maximum favorable excursion, expressed in R, across completed observations.
Active / Invalid: observations still being evaluated and observations rejected because a valid positive risk distance could not be constructed.
Only breakouts confirmed while their volume level is inside its active signal window create statistical observations. An expired gray reference does not create a trade in the dashboard.
If the stop and a target fall inside the same historical candle, the script gives the stop priority because OHLC data cannot reveal the intrabar sequence. This is intentionally conservative.
These figures are descriptive historical measurements, not a backtest equity curve, not a profit factor, and not a forecast of future results. They can change with the data provider, symbol, timeframe, available history, and settings.
→ DEFAULT XAUUSD 7-MINUTE PRESET
CCI Length: 20
CCI Source: Typical Price (HLC3)
First Pivot Extreme Level: +/-150
Maximum Bars Between Pivots: 60
Price Pivot Match Radius: 7
Maximum Price/CCI Span Difference: 35%
Volume Average Length: 20
Minimum Volume x Average: 1.5
Search After Divergence: 15 bars
Maximum Candidates per Divergence: 1
Breakout Signal Window: 40 bars
Keep Expired Levels Visible: On
Show Entry / SL / 1R Markup: On
→ ALERTS
Bullish CCI Divergence: fires when a bullish divergence becomes confirmed.
Bearish CCI Divergence: fires when a bearish divergence becomes confirmed.
CCI Volume Long Signal: fires after a confirmed close above an active bullish volume level.
CCI Volume Short Signal: fires after a confirmed close below an active bearish volume level.
→ ORIGINALITY
This script is not a standard CCI divergence plot and not a generic volume-spike marker. Its purpose is to connect four separate stages in one workflow: multi-strength confirmed CCI divergence, price-pivot alignment, relative-volume candle mapping, and close-confirmed breakout authorization.
Candidate search, signal lifetime, visual reference lifetime, trade measurement, and historical R-reach analysis are kept separate. This makes it possible to change one part of the workflow and see how it affects signal frequency and the historical statistics without confusing an expired visual level with an active signal source.
→ LIMITATIONS
CCI, volume, and divergence are analytical tools, not guarantees of reversal or continuation. Pivot confirmation introduces an intentional delay. Historical volume and results can differ between data providers. Signals should be evaluated with market structure, liquidity, volatility, wave context, and personal risk management. The default preset was developed for how I analyze XAUUSD on 7 minutes; other markets and timeframes require independent testing.
مؤشر
EMA Deviation OscillatorDescription:
Overview
The EMA Deviation Oscillator is a powerful momentum and mean-reversion tool designed to measure the true "thrust" or kinetic energy of price movements. Instead of relying on traditional bounded formulas like the RSI, or lagging two-average systems like the MACD, this indicator calculates the exact percentage distance between the current price and its Exponential Moving Average (EMA).
By treating the EMA as a "center of gravity" (equilibrium), this oscillator helps traders visualize when the price is perfectly balanced, when it is accelerating with explosive momentum, and when the "rubber band" is stretched too far and is due for a pullback.
Why is it different from RSI or MACD?
Zero-Lag Calculation: Unlike MACD, which measures the difference between two historical moving averages, this oscillator measures the Live Price against a single EMA. This means it reacts instantly to price breakouts.
Unbounded Framework: RSI is trapped between 0 and 100, often staying "overbought" while the price continues to rally. The EMA Deviation Oscillator is unbounded. If a crypto asset or stock goes on a massive run, the oscillator will freely stretch to +10%, +20%, accurately showing the magnitude of the move.
Shifting Baseline: The zero line is dynamic—it is the EMA itself. This allows traders to capture profits as the baseline moves up with the trend, rather than returning to a static number.
How to Read the Oscillator:
1. The Zero Line (Equilibrium)
The "0" line represents the exact value of the EMA.
When the oscillator crosses above 0, the price has broken above the EMA (Bullish).
When it crosses below 0, the price has fallen below the EMA (Bearish).
2. Histogram Colors (Momentum)
The histogram intuitively shows the acceleration and deceleration of the trend:
Dark Green: Positive deviation is growing. The uptrend has strong thrust/momentum.
Light Green: Price is still above the EMA, but momentum is fading (early warning for a pullback).
Dark Red: Negative deviation is growing. Sellers are in control with strong downward momentum.
Light Red: Price is below the EMA, but the selling pressure is exhausting.
3. The Signal Line (Orange Line)
A smoothed Simple Moving Average (SMA) of the deviation itself. It acts as a trigger line. When the histogram crosses below the orange line in overbought territory, it’s a strong signal that momentum is shifting.
4. Overbought / Oversold Levels (Mean Reversion)
The dashed red (+3.0%) and green (-3.0%) lines represent extreme deviation zones. (Note: These are fully customizable. For Crypto, you might want to use 5% or 10%. For Forex, 0.5% or 1%). When the oscillator hits these extremes, the price is heavily stretched from its average, and a "snap-back" to the zero line is highly probable.
5. Divergences
This is one of the most effective ways to use the tool. If the price makes a Higher High, but the oscillator makes a Lower High, it indicates that the upward thrust is exhausting, often preceding a sharp reversal.
Settings:
EMA Length (13 by default): Defines your center of gravity. (Lower = more sensitive, Higher = macro trend).
Signal Line Smoothing (5 by default): Adjusts the speed of the orange trigger line.
Overbought/Oversold Levels: Customize the % threshold based on the volatility of the asset you are trading. مؤشر
RSI Extreme Value Labels [DotGain]RSI Extreme Value Labels
A standard RSI that writes the actual number on the chart whenever the indicator turns at an extreme. Instead of eyeballing how deep a spike went, you see it: 82, 74, 19.
How it works
The script looks for confirmed pivot highs and lows in the RSI line. A pivot high only gets a label if it sits at or above the overbought level; a pivot low only gets one if it sits at or below the oversold level. Everything in between stays clean.
Because pivots need bars on both sides to be confirmed, labels appear a few bars after the actual turn. That is the trade-off for not repainting — a label, once printed, stays where it is.
Settings
RSI length, source and line color
Overbought / oversold thresholds, plus an optional shaded zone
Pivot bars left and right — larger values mean fewer but more significant labels
Decimal places, vertical offset, text color and size
Notes
Useful for comparing the strength of successive extremes, spotting divergences at a glance, and reviewing past reactions without hovering over the line. Works on any symbol and timeframe.
Have fun :)
Disclaimer
This RSI Extreme Value Labels indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice.
This indicator is an independent implementation of a standard Relative Strength Index combined with a pivot-based labeling routine, and is not affiliated with, or endorsed by, any third-party trading systems, strategies, protocols, or trademarked methodologies. The labels, overbought and oversold zones, and RSI values displayed by this indicator are generated by a predefined set of algorithmic rules based on historical price data and user-defined input settings. They do not constitute a direct recommendation to buy, sell, or hold any financial instrument or digital asset.
All trading and investing in financial markets involves a substantial risk of loss. You may lose part or all of your invested capital. Past performance does not guarantee future results. This indicator marks momentum extremes only after the required confirmation bars have closed, and may therefore produce lagging, incomplete, or misleading signals. An extreme RSI reading can persist for a long time in a strong trend and does not by itself indicate a reversal. Market behavior is influenced by many external factors and can deviate significantly from historical patterns or expectations.
The creator DotGain assumes no responsibility or liability for any financial losses, damages, or decisions made based on the use of this indicator or the information it provides. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), use proper risk management, validate insights with additional tools or analysis, and consider your personal financial situation and risk tolerance before making any financial decision. مؤشر
Dynamic Grid Indicator [BigBeluga]🔵 OVERVIEW
The Dynamic Grid Indicator is an advanced technical indicator created by BigBeluga to map volatility-based grid channels across price charts while simultaneously plotting a synchronized multi-level oscillator pane. Traditional envelope indicators often use static standard deviation bands that fail to adjust to shifting trend momentum or localized price congestion. In order to provide a solution to this problem, this indicator combines a Hull Moving Average (HMA) central baseline with Average True Range (ATR) multiplier steps, automatically fading channel lines and generating precise crossover signals when price interacts with structural grid borders.
The indicator aims to visualize volatility expansion, compression, and overextended momentum zones. The core element of its calculation involves measuring price distance from the central baseline scaled by volatility steps defined as:
centerLine = ta.hma(close, hmaLength)
oscValue = atrVal != 0 ? (close - centerLine) / atrVal : 0.0
where centerLine acts as the adaptive trend anchor, and oscValue normalizes deviations into standardized grid units. Higher values of numLevels and ATR multipliers allow the indicator to filter out localized market noise and isolate major overbought or oversold structural extremes.
🔵 FEATURES
The system utilizes a multi-layered matrix structure to provide actionable market intelligence:
1 — Dynamic HMA & ATR Grid Engine
Central Baseline Momentum: Tracks trend direction and baseline elasticity using customizable Hull Moving Average lengths via ta.hma(close, hmaLength)
Volatility Multiplier Steps: Projects up to 5 multi-tiered grid levels above and below the baseline scaled dynamically by ATR volatility.
2 — Proximity Fade & Edge Label Management
Smart Proximity Hiding: Automatically hides chart grid line segments when price approaches a level within a set percentage threshold using diff <= proxDist .
Right-Edge Price Tags: Automatically renders live numerical price tags and oscillator labels on the right edge of the chart using custom label management functions.
3 — Synchronized Oscillator Pane & Position Dashboard
Multi-Level Oscillator Fill: Projects a synchronized sub-pane oscillator complete with gradient fills and crossover signal annotations.
Position Scale Dashboard: Features an interactive table displaying real-time level states and oscillator positioning across the grid.
🔵 HOW TO USE
Apart from the basic visualization of volatility channels, this tool can also act in alternative ways to support decision-making:
Identify Channel Extremes: Monitor the outer grid levels (+3 to +5 / -3 to -5) to spot overextended market conditions where price is likely to revert or consolidate.
Trade Grid Crossovers: Look for confirmed crossover signals and direction labels (▲/▼) when price breaks across key grid boundaries to catch trend continuations.
Track Momentum via Oscillator: Observe the sub-pane oscillator line and gradient fill to gauge the strength of the current move relative to the volatility baseline.
🔵 NOTES
Why this implementation is unique:
It combines an overlay price grid with a synchronized, volatility-normalized oscillator pane in a single unified script.
The proximity fade engine keeps the chart clean by automatically removing line clutter directly under active price action.
The script is fully optimized for Pine Script version 6, utilizing advanced conditional plotting, multi-timeframe safety filters, and dynamic dashboard tables.
مؤشر
Cumulative Delta Divergence Suite## Cumulative Delta Divergence Suite
The underlying cumulative-delta calculation and CDV candle construction are adapted from “Cumulative Delta Volume” by LonesomeTheBlue, licensed under MPL 2.0. This version adds independently developed divergence detection, multi-factor scoring, higher-timeframe analysis, absorption and exhaustion conditions, alerts, timeframe presets, and historical target/stop outcome analysis.
### Overview
Cumulative Delta Divergence Suite is a multi-module volume-pressure analysis indicator built around a cumulative delta oscillator.
The script compares confirmed price pivots with confirmed cumulative-delta pivots and combines divergence analysis with configurable scoring, higher-timeframe context, absorption conditions, Z-score extreme zones, timeframe presets, alerts, and simplified historical target/stop outcome tables.
The purpose of combining these components is to examine disagreement between price structure and directional volume pressure from several related perspectives. The modules are not simply displayed independently. Divergence magnitude, delta momentum, relative volume, trend alignment, higher-timeframe agreement, and pivot spacing can contribute to a shared scoring and classification process.
The displayed conditions are analytical observations. They do not predict that price will reverse, continue, or reach a particular level.
### Cumulative delta calculation
Standard chart volume does not directly separate executed buying volume from executed selling volume.
The cumulative-delta calculation used by this script derives directional volume from each candle's:
* total volume;
* body size;
* upper wick;
* lower wick;
* closing direction.
The resulting directional volume value is accumulated over time to construct the cumulative delta series.
The oscillator is displayed as candles in a separate pane. Users can display either the raw cumulative delta candles or an internally calculated Heikin-Ashi representation.
The Heikin-Ashi option smooths the oscillator structure, but this additional averaging can delay changes and alter the location of oscillator pivots.
The calculation is derived from chart OHLCV data. It does not use exchange bid/ask transaction classifications, footprint data, or order-book data.
### Divergence framework
The script compares confirmed pivots in price with confirmed pivots in the cumulative delta oscillator.
It identifies four divergence structures:
* Regular bullish divergence occurs when price forms a lower low while cumulative delta forms a higher low.
* Regular bearish divergence occurs when price forms a higher high while cumulative delta forms a lower high.
* Hidden bullish divergence occurs when price forms a higher low while cumulative delta forms a lower low.
* Hidden bearish divergence occurs when price forms a lower high while cumulative delta forms a higher high.
Regular divergence highlights disagreement between a new price extreme and the cumulative-delta structure.
Hidden divergence highlights a different form of structural disagreement that traders commonly examine within an existing trend.
Neither type establishes what price will do afterward.
### How the modules work together
The script is designed as a cumulative-delta analysis workflow rather than a collection of unrelated indicators.
Divergence provides the primary structural condition by comparing price pivots with cumulative-delta pivots.
The scoring system then evaluates additional characteristics surrounding that divergence, including divergence magnitude, recent delta-momentum change, relative volume, trend alignment, higher-timeframe agreement, and the distance between the compared pivots.
Absorption conditions examine bars where comparatively strong directional volume occurs with limited price progress under the selected volume, range, body, and confluence filters.
Z-score zones identify cumulative-delta readings that are unusually high or low relative to their recent distribution.
Higher-timeframe analysis provides broader confirmed divergence, trend, and volume context.
These components therefore perform different roles within the same analysis process rather than simply duplicating one another.
### How to use the indicator
Apply the indicator to a symbol that provides usable volume data.
The cumulative delta candles appear in a separate pane below the price chart.
A practical workflow is:
1. Review the broader price trend and market structure.
2. Observe whether cumulative delta generally confirms or disagrees with price.
3. Wait for a confirmed regular or hidden divergence condition.
4. Inspect the optional price and oscillator divergence lines to see which pivots were compared.
5. Review the divergence strength score and A+, B, or C category.
6. Check whether confirmed higher-timeframe context agrees with the current structure.
7. Review nearby absorption conditions and Z-score extreme zones.
8. Examine support, resistance, volatility, liquidity, and candle structure separately.
9. Treat all markers as analytical conditions rather than automatic trade instructions.
10. Test settings, alerts, and historical outcome assumptions on the intended symbol and timeframe.
### Regular bullish divergence
Regular bullish divergence is confirmed when:
* price forms a lower confirmed low;
* cumulative delta forms a higher confirmed low.
Price has therefore reached a new lower pivot while the cumulative-delta oscillator has not produced a corresponding lower pivot.
Traders may examine this disagreement together with market structure, support, momentum, cumulative-delta behaviour after confirmation, Z-score context, absorption conditions, and higher-timeframe structure.
The condition can fail, and price can continue lower after confirmation.
### Regular bearish divergence
Regular bearish divergence is confirmed when:
* price forms a higher confirmed high;
* cumulative delta forms a lower confirmed high.
Price has therefore reached a new higher pivot while the cumulative-delta oscillator has not produced a corresponding higher pivot.
Traders may examine this disagreement together with market structure, resistance, momentum, cumulative-delta behaviour after confirmation, Z-score context, absorption conditions, and higher-timeframe structure.
The condition can fail, and price can continue higher after confirmation.
### Hidden bullish divergence
Hidden bullish divergence is confirmed when:
* price forms a higher confirmed low;
* cumulative delta forms a lower confirmed low.
This structure is commonly examined within an existing upward trend because price retains a higher low while cumulative delta makes a deeper retracement.
It does not guarantee that the upward trend will continue.
### Hidden bearish divergence
Hidden bearish divergence is confirmed when:
* price forms a lower confirmed high;
* cumulative delta forms a higher confirmed high.
This structure is commonly examined within an existing downward trend because price retains a lower high while cumulative delta makes a stronger retracement.
It does not guarantee that the downward trend will continue.
### Raw and Heikin-Ashi CDV candles
When Heikin-Ashi CDV candles are disabled, the script uses the raw cumulative delta candle values.
When they are enabled, the script applies an internal Heikin-Ashi transformation to the cumulative delta series.
This affects only the oscillator displayed by the indicator. It does not convert the main TradingView price chart to Heikin-Ashi candles.
The smoothed representation can make broader cumulative-delta structure easier to inspect, but it may also delay short-term changes and alter oscillator pivot locations.
### Pivot settings and confirmation delay
Pivot Left controls how many earlier bars participate in identifying a pivot.
Pivot Right controls how many later bars must pass before that pivot becomes confirmed.
Higher pivot values generally produce fewer pivots, filter more short-term movement, and confirm conditions later.
Lower pivot values generally produce more pivots and react more quickly, but they are also more sensitive to short-term movement.
A pivot-based divergence is not known on the original pivot bar.
The script must wait for the configured number of Pivot Right bars before the pivot can be confirmed.
After confirmation, divergence markers and optional connecting lines are drawn at the original pivot location so users can visually inspect the price-versus-CDV structure.
For example, when Pivot Right is 5, five subsequent bars are required before the pivot is confirmed.
Consequently, a historical divergence marker appears on the earlier pivot bar even though the condition only became known several bars later.
Alerts for pivot-based divergences occur after confirmation, not on the earlier pivot bar.
### Divergence lines
The script can draw oscillator pivot-to-pivot lines in the indicator pane and corresponding price pivot-to-pivot lines on the main chart.
These lines show the exact pair of pivots used for the divergence comparison.
For example, regular bullish divergence connects two price lows where the newer price pivot is lower while the corresponding cumulative-delta pivot is higher.
The lines can be disabled when a cleaner chart is preferred.
### Divergence strength score
The optional divergence strength value measures the relative displacement between the compared price pivots and cumulative-delta pivots.
It is derived from the magnitude of the price movement and the magnitude of the oscillator movement between the compared pivots.
It is not a probability, win rate, or forecast.
The Minimum Divergence Strength setting can suppress conditions whose calculated magnitude is below the selected value.
### Composite scoring
Each confirmed divergence can receive a configurable composite score.
The score combines several measurements:
* divergence strength;
* recent change in smoothed delta momentum;
* volume relative to its recent average;
* alignment with the script's EMA-based trend state;
* agreement with confirmed higher-timeframe divergence context;
* distance between the compared pivots.
Each component performs a different function.
Divergence strength measures the magnitude of the structural disagreement.
Delta momentum examines recent directional change in the smoothed delta series.
Relative volume measures participation around the evaluated pivot.
Trend alignment provides directional price context.
Higher-timeframe agreement measures whether the selected confirmed HTF divergence context supports the same side.
Pivot spacing distinguishes closely grouped pivots from structures developing across a wider interval.
Users can adjust the contribution of these components through the scoring weights.
The active weights are normalized before the final composite value is calculated.
The score organizes conditions according to the selected model. It is not a prediction of future performance.
### Score categories
The script assigns A+, B, or C categories according to the configured score thresholds.
These categories are internal classifications.
They are not probabilities, win rates, accuracy measurements, guarantees, or independently validated performance rankings.
An A+ category means only that the condition reached the highest configured score range.
A B category means that the condition reached the middle configured range.
A C category represents conditions below the B threshold that remain eligible under the selected filter.
The Minimum Grade setting can suppress conditions below the selected category.
### Score transformation
The Score Boost Power applies a nonlinear transformation to the composite score before the A+, B, and C thresholds are evaluated.
Lower values compress scores upward and therefore allow higher categories to occur more frequently.
Higher values keep transformed scores closer to the underlying composite values and make the upper categories more selective.
This setting changes the script's internal classification behaviour. It does not increase the probability that a condition will succeed.
### Adaptive score scaling
When Adaptive Grade Scaling is enabled, the script compares the current raw composite score with the recent distribution of composite scores.
It uses a rolling mean and standard deviation to place the current value in the context of recently observed values before the category thresholds are applied.
When adaptive scaling is disabled, category thresholds are applied to the unscaled composite score.
Because adaptive scaling is relative to recent observations, the same general type of structure can receive different categories under different market conditions.
### Higher-timeframe context
The script can evaluate divergence context from a user-selected higher timeframe.
The HTF module calculates its pivot structure, trend context, and relative-volume component using confirmed data from the requested higher timeframe.
The script uses the last fully closed higher-timeframe information rather than relying on a still-forming HTF candle.
This means higher-timeframe information becomes available only after the required higher-timeframe data has been confirmed.
The HTF module identifies regular bullish, regular bearish, hidden bullish, and hidden bearish cumulative-delta divergence structures.
Its scoring process combines HTF divergence strength with HTF trend context and HTF volume participation.
Higher-timeframe conditions can be displayed separately and can also contribute to the chart-timeframe composite score.
An independent HTF Minimum Grade setting determines which higher-timeframe categories are displayed.
Because confirmed HTF data is used, higher-timeframe conditions can appear later than chart-timeframe conditions.
Higher-timeframe context should therefore be interpreted as broader confirmed information rather than an earlier signal.
### Absorption conditions
The absorption module searches for bars where comparatively large directional delta occurs while price progress remains constrained under the selected filters.
The module evaluates:
* directional delta relative to its recent average;
* volume relative to its recent average;
* candle range relative to its average;
* candle body as a proportion of the complete range;
* an optional close opposing the delta direction;
* optional proximity to a recently graded divergence.
A bullish absorption condition is associated with comparatively strong negative delta while downward price progress remains limited under the configured filters.
A bearish absorption condition is associated with comparatively strong positive delta while upward price progress remains limited under the configured filters.
The module is derived from chart OHLCV information. It does not prove that passive limit orders absorbed aggressive market orders.
The markers should therefore be interpreted as absorption-style analytical conditions rather than direct measurements of order-book behaviour.
### Absorption confluence and filtering
Absorption conditions can be filtered using recent divergence proximity, minimum divergence category, cooldown bars, volume thresholds, delta thresholds, range thresholds, body-to-range limits, and optional opposite-close confirmation.
When divergence confluence is enabled, the absorption condition must occur within the configured number of bars following a qualifying divergence.
The absorption grade displayed with a condition is derived from the nearby qualifying divergence category.
These filters change which conditions are displayed. They do not guarantee a particular subsequent price outcome.
### Z-score extreme zones
The script calculates a Z-score from the cumulative-delta oscillator's rolling mean and standard deviation.
A lower extreme zone appears when the oscillator moves below the selected negative Z-score threshold.
An upper extreme zone appears when the oscillator moves above the selected positive threshold.
These zones identify values that are unusually high or low relative to the oscillator's recent statistical distribution.
The Z-Score Length determines how much history contributes to the rolling mean and standard deviation.
The Z-Score Threshold determines how many standard deviations the oscillator must move from its rolling mean before an extreme zone is displayed.
Higher thresholds produce fewer extreme zones. Lower thresholds produce more frequent zones.
An extreme value does not establish that buying or selling pressure is exhausted and does not establish that price will reverse.
Extreme readings can persist or become more extreme.
### Using divergence, absorption, and Z-score context together
The modules provide different forms of information.
Divergence compares price pivot structure with cumulative-delta pivot structure.
Absorption examines strong directional delta occurring with constrained price progress.
Z-score analysis measures whether cumulative delta is unusually high or low relative to recent values.
Higher-timeframe analysis provides broader confirmed structural context.
Composite scoring organizes divergence conditions according to multiple characteristics of the setup.
The purpose of combining these modules is to provide several related perspectives on price-versus-volume-pressure disagreement without treating any one module as a complete trading system.
Confluence between modules provides additional analytical context but does not automatically validate a condition or guarantee reversal or continuation.
### Timeframe presets
The script contains lower-, medium-, and higher-timeframe preset bundles.
The presets adjust selected settings including:
* pivot lengths;
* score transformation power;
* adaptive score scaling;
* Heikin-Ashi CDV display;
* absorption averaging lengths;
* absorption thresholds;
* absorption confluence lookback.
The presets are intended as starting configurations.
They are not automatically optimized for the active symbol and have not been fitted to guarantee particular historical results.
Users can disable Apply Timeframe Preset to configure the corresponding settings manually.
### Cooldown settings
Independent cooldown controls can reduce repeated conditions of the same type.
Separate cooldown settings are available for regular divergences, hidden divergences, higher-timeframe divergences, absorption conditions, and Z-score extreme conditions.
A value of zero disables the relevant cooldown.
Higher cooldown values reduce repeated same-direction markers but can also suppress nearby structures that would otherwise qualify.
### Historical target/stop outcome tables
Optional tables provide a simplified historical outcome study for confirmed divergence and absorption conditions.
When a condition is confirmed, the script records the confirmation-bar closing price and calculates a fixed percentage target and fixed percentage stop level.
The target and stop percentages are user configurable.
Outcome evaluation begins on the bar after the condition is confirmed.
This prevents price movement that occurred earlier within the confirmation bar from being counted as a subsequent target or stop event.
Each confirmed condition is tracked independently.
If another qualifying condition appears before an earlier condition has resolved, the newer condition does not replace the earlier unresolved condition in the historical study.
For each tracked condition, the script records whether the target or stop is reached first.
If both the target and stop are touched during the same evaluation candle, standard OHLC chart data does not reveal which level was reached first. In this situation the script uses a conservative convention and counts the stop as occurring first.
Separate tables are available for:
* regular bullish divergence;
* regular bearish divergence;
* hidden bullish divergence;
* hidden bearish divergence;
* bullish absorption;
* bearish absorption.
The tables display the number of target-first outcomes, stop-first outcomes, and the resulting target-first percentage for the available chart history.
These tables are intended as a basic chart-based comparison tool.
They are not TradingView Strategy Tester results and are not a complete strategy backtest.
They do not model commissions, slippage, bid/ask spread, realistic order execution, position sizing, portfolio equity, liquidity, partial fills, or complete intrabar price sequencing.
Historical results depend on the symbol, timeframe, available chart history, target and stop distances, filters, indicator settings, and available volume data.
The table percentages describe only the simplified historical study produced under those settings. They do not imply future performance.
### Evaluation target and stop lines
The script can display the fixed target and stop levels associated with the most recently confirmed qualifying condition.
The Target and Stop labels remain anchored at the left side of their respective lines. While the outcome is unresolved, the lines extend to the right. Once either the target or stop is reached, the lines end at the resolution bar and remain visible until a newer qualifying condition replaces them.
These levels use the same configurable percentage distances as the historical outcome study and are provided for visual evaluation rather than as trading recommendations.
Only the most recent Target/Stop pair is displayed to limit chart clutter, while historical conditions continue to be tracked independently by the outcome tables.
### Alerts
Alerts are available for configured divergence, absorption, and exhaustion conditions.
Pivot-based regular and hidden divergence alerts occur only after the required Pivot Right bars have confirmed the pivot.
A+ divergence alerts require the underlying divergence to qualify for the A+ category.
Absorption conditions can depend on values from the current chart bar and can therefore change while that bar is still forming.
Z-score extreme conditions can likewise change as the current chart bar develops.
Users who require closed-bar confirmation should configure their TradingView alert frequency accordingly.
Higher-timeframe divergence context uses confirmed higher-timeframe information.
### What makes the implementation distinct
The script extends a cumulative-delta framework into a broader price-versus-volume-pressure analysis workflow.
Its distinguishing structure includes:
* cumulative delta candle visualization;
* optional internal Heikin-Ashi smoothing;
* regular and hidden pivot-based price/CDV divergence analysis;
* configurable divergence strength filtering;
* multi-factor divergence scoring;
* user-adjustable scoring weights;
* nonlinear score transformation;
* adaptive score scaling;
* A+, B, and C classification and filtering;
* confirmed higher-timeframe divergence analysis;
* higher-timeframe trend and volume context;
* absorption conditions that can be linked to recently graded divergences;
* Z-score extreme analysis;
* timeframe-based parameter presets;
* independent cooldown controls;
* independent tracking of historical target/stop outcomes;
* configurable target and stop evaluation levels;
* divergence, absorption, exhaustion, and grade-based alerts.
The purpose of this combination is to evaluate price-versus-cumulative-delta disagreement using several related measurements within a single workflow.
The divergence module identifies the structural event. The score measures characteristics of that structure and its surrounding context. Higher-timeframe analysis supplies broader confirmed context. Absorption examines directional volume occurring with limited price progress. Z-score analysis identifies statistically unusual oscillator readings. The historical tables provide a simplified way to inspect what happened after past qualifying conditions.
This integration is the reason the components are combined rather than published merely as separate common indicators placed together.
### Limitations
Cumulative delta in this script is derived from candle structure and chart volume rather than exchange bid/ask transaction classifications.
Volume quality and interpretation vary between exchanges, brokers, instruments, and symbols.
Pivot-based divergences are delayed by the selected Pivot Right value.
Confirmed pivot markers and divergence lines are drawn on the earlier pivot location after confirmation, so historical marker placement is earlier than the time at which the condition became known.
Heikin-Ashi smoothing changes the cumulative-delta oscillator structure and can introduce additional delay.
Higher-timeframe analysis waits for confirmed HTF information, which can delay HTF conditions.
Divergence conditions can fail and price can continue in the same direction after a divergence has been confirmed.
Hidden divergence does not guarantee trend continuation.
Absorption conditions are OHLCV-based analytical approximations and do not directly identify passive order-book absorption.
Z-score extremes can persist or become more extreme.
Composite scores and A+, B, and C categories are model outputs, not probabilities, win rates, accuracy measurements, or independently validated performance rankings.
Adaptive scaling can change classifications as the recent score distribution changes.
Lower timeframes can produce more frequent and noisier conditions.
Timeframe presets are starting configurations and are not automatically optimized for a symbol.
Historical target/stop tables are simplified outcome studies and do not represent complete strategy backtests.
Historical target-first percentages depend heavily on the selected target/stop distances, indicator settings, symbol, timeframe, available history, and market conditions.
The indicator does not model commissions, slippage, spread, liquidity, or realistic execution.
No divergence, score category, absorption condition, Z-score reading, target/stop outcome, or combination of these elements guarantees future market behaviour.
The indicator should not be used as the sole basis for a trading decision.
This script is an analytical tool and does not provide financial advice or guaranteed trading outcomes. مؤشر
استراتيجية
Coil Breaker | RSI Range CompressionMost RSI strategies fire off static 30/70 thresholds. Coil Breaker does something different: it treats RSI itself as a volatility asset and watches for its own trading range to contract to a multi-month low — a "coil" — before trading the breakout when it releases.
How it works:
Measures RSI's high-minus-low range over the last N bars and ranks it against its own history using a percentile score
When that range compresses into the bottom percentile (default 20%), RSI is flagged as "coiled" — oscillating tightly around 50, momentum dormant
A dynamic Bollinger-style channel is plotted directly around RSI so you can visually watch the coil tighten before it fires
Once a squeeze has been active recently, a breakout above/below the established coil band (not the still-forming one) triggers an entry
Direction is set by an EMA slope filter — the coil tells you something's coming, the EMA tells you which way
Optional ADX filter keeps you out of truly dead, directionless chop
ATR-based stop, fixed R-multiple target, and equity-percent risk sizing so every trade risks a constant dollar amount
Important — read before trading:
This is a breakout/momentum system, not a mean-reversion one, and it behaves accordingly: expect a low win rate (often 30–40%) alongside a high average win/loss ratio. Most coil breakouts fail or chop — you're paying for early entry with more false signals. The edge comes from asymmetric payoff (2R+ winners vs. 1R losers), not from being right often. Judge this strategy on profit factor and expectancy, not win rate. If a 60%+ win rate is what you're looking for, this isn't that system.
Tips:
Backtest coilLen, pctLen, and the percentile threshold across your specific instrument/timeframe — coil dynamics vary a lot between assets
Watch the equity curve shape, not just the total return — make sure gains aren't carried by one or two outlier trades
Works best on instruments/timeframes with genuine volatility cycles (expansion/contraction), not ultra-choppy or illiquid markets
Pair with higher-timeframe context if you want to filter out counter-trend coil breaks
استراتيجية
RSI Divergence Indicator RSI Divergence Indicator — Enhanced
An enhanced RSI indicator combining traditional RSI divergence detection with flexible smoothing and a dynamic trend-color system.
This indicator is designed to give traders a cleaner view of momentum, trend direction, and divergence in one RSI pane.
Key Features
Dynamic RSI Trend Coloring
The RSI can automatically change color based on the relationship between a fast and slow RSI:
🟢 Green — Fast RSI is above Slow RSI, indicating bullish momentum.
🔴 Red — Fast RSI is below Slow RSI, indicating bearish momentum.
The feature can be turned on or off from the Divergence settings.
The Fast RSI and Slow RSI lengths are fully adjustable, with defaults of 5 and 14.
RSI Smoothing
Choose from several smoothing methods for the RSI:
None
SMA
SMA + Bollinger Bands
EMA
SMMA (RMA)
WMA
VWMA
The smoothing length is fully adjustable.
RSI Bollinger Bands
When SMA + Bollinger Bands is selected, Bollinger Bands are automatically displayed around the smoothed RSI.
The BB Standard Deviation is adjustable, allowing traders to customize the band width.
Multiple RSI Levels
The indicator includes five important RSI reference levels:
70 — Overbought
60 — Bullish momentum zone
50 — Midline / neutral
40 — Bearish momentum zone
30 — Oversold
The 40 and 60 levels provide additional context for identifying momentum shifts before RSI reaches traditional overbought or oversold levels.
Regular Divergence
Detects traditional divergence between price and RSI:
Bullish Divergence
Price makes a Lower Low
RSI makes a Higher Low
Bearish Divergence
Price makes a Higher High
RSI makes a Lower High
Hidden Divergence
Also identifies hidden divergence:
Hidden Bullish
Price makes a Higher Low
RSI makes a Lower Low
Hidden Bearish
Price makes a Lower High
RSI makes a Higher High
Customizable Divergence Detection
The pivot lookback and divergence range settings allow traders to adjust how sensitive the divergence detection is.
Alerts
Alert conditions are included for:
Regular Bullish Divergence
Hidden Bullish Divergence
Regular Bearish Divergence
Hidden Bearish Divergence
Why Use This Indicator?
The goal of this indicator is to combine several useful RSI tools into one clean and customizable package.
Instead of relying on RSI alone, traders can use:
RSI + Dynamic Momentum Color + Smoothing + Bollinger Bands + 40/60 Momentum Levels + Regular Divergence + Hidden Divergence
This provides multiple ways to assess momentum and potential trend changes without requiring several separate indicators.
Suggested Starting Settings
For a balanced starting point:
RSI Period: 14
Smoothing: None
Fast RSI: 5
Slow RSI: 14
Overbought: 70
Bullish momentum: 60
Midline: 50
Bearish momentum: 40
Oversold: 30
These are simply starting points and can be adjusted depending on the market, timeframe, and trading style.
Important
This indicator is intended as a technical analysis tool and should not be considered financial advice. Divergences and momentum signals can fail, particularly during strong trends or volatile market conditions. Always combine indicator signals with your own analysis and risk management. مؤشر
Gann Reversal ConfluenceWhy this works
W.D. Gann never traded a reversal bar in isolation — a swing high/low break, key reversal, or outside bar was a trigger, not a signal on its own. He wanted it lining up with the bigger picture: was the move overextended, was volume backing it, was it a big enough bar to matter. Most free "Gann reversal" scripts on TradingView just plot the raw bar pattern and stop there — every swing break gets a triangle, whether it's a meaningful turn or noise. This indicator keeps the classic pattern detection but scores each one against the context Gann actually cared about, so you can see how much is lining up, not just that a shape appeared.
How this works
Pattern detection — pick one of three classic reversal triggers: Swing (price closes beyond the recent N-bar high/low), Key Reversal (new extreme that closes back through the prior close), or Outside Bar (engulfs the prior range and closes in the reversal direction).
Confluence scoring — every raw pattern is checked against up to five independent factors:
Range (ATR) — was the bar itself big enough to matter, or just noise?
Volume — did participation back the move?
Momentum (RSI) — was the market actually stretched, or was this a mid-range wiggle?
Trend (EMA) — is this a pullback with the trend, or a potential trend change against it? (shown, not scored against you)
Hour-ruler (optional, off by default) — a traditional Chaldean planetary-hour tag. Descriptive only, not a validated filter — treat it as a curiosity layered on top of the technical factors, not evidence on its own.
Cooldown — a minimum bar gap between signals stops the same swing from re-triggering repeatedly.
Everything commits on bar close only. Nothing here repaints or changes after the fact.
How to use it
Start with the defaults. Watch how the confluence score (shown next to each signal and in the status table) moves with the setups you'd have taken anyway.
Raise "Minimum confluence score to show signal" to hide everything below your conviction threshold — e.g. set it to 3 to only see signals where 3+ factors agree.
Use the level line each signal draws as a reference point for how price behaved on the next visit, not as a target.
This is a confluence aid, meant to sit alongside your own read of the chart and risk management — not a standalone entry/exit system.
Settings
Logic — reversal method, swing length, close vs. wick confirmation, minimum bars between signals.
Confluence — independently toggle ATR/Volume/RSI/Trend, tune each threshold, and set the minimum score required to show a signal.
Astro (optional) — off by default; enables the hour-ruler tag and lets you set a location for the sunrise/sunset calc it depends on.
Display — swing band, signal level lines, background highlight, confluence score label, status table (with position control), colors, and line styling.
Non-repainting. Every signal is final the moment it prints. مؤشر
Technical Summay & Crowd Consensus _ Lite _ Triggon# Technical SUMMARY + Crowd Consensus — Triggon Lite
A single technical-bias reading built from 22 of the most widely-charted tools on the platform, 10 oscillators and 12 moving averages condensed into one consensus percentage, a daily persistent Buy/Sell phase, and one fully transparent trade rule.
## Why this exists
I don't personally trade off technical indicators — I think of them mainly as a liquidity layer the market uses, not a forecasting tool. But in a much larger strategy I run privately (4,000+ lines), I tested using a broad technical-consensus reading as a confirmation filter. It didn't add what I wanted there, so I pulled it out.
What was left, though, was a question worth testing on its own: does the crowd's aggregate technical bias — built from the same handful of indicators almost everyone charts with — actually move *with* price, *against* it, or not at all?
My own prior going in is that it's inverse: that a unanimous, textbook-standard reading looks more like a map of where liquidity (stops, obvious entries) is sitting than a map of where price is actually going. This script is that test, built as its own standalone strategy and released openly so anyone can run the same experiment on their own terms. A "Contrarian Mode" exists in the settings for exactly this purpose. The honest answer is probably regime-dependent rather than a fixed sign — trend-following logic (which is most of what's under the hood here) has real, well-documented edge in sustained trends, and only likely loses to the contrarian read in choppier conditions.
## How it works
- **22 inputs, one vote each.** RSI(14), Stochastic(14,3,3), CCI(20), MACD(12,26,9), Awesome Oscillator, Momentum(10), Williams %R(14), Stochastic RSI(3,3,14,14), Ultimate Oscillator, and Bull/Bear Power, plus EMA and SMA at 10/20/50/100/200, VWMA(20), and HMA(9). Each casts **+1 (Buy)**, **-1 (Sell)**, or **0 (Neutral)** using the same conventional thresholds you'd find in most platforms' built-in "Technicals" ratings — nothing exotic or curve-fit.
-**Votes are tallied** into Buy / Sell / Neutral totals across whichever indicators you leave switched on (every one is individually toggleable).
- **Consensus % is the dominant side's share of *all* enabled indicators — including the neutral ones.** A "70% consensus" reading means 70% of everything you've switched on agrees, not 70% of the indicators that took a side. This matters: a busy, trending market with few neutral readings reaches a high consensus % more easily than a quiet one, even at the same buy-to-sell ratio.
- That percentage maps to **four tiers** — Neutral, Buy/Sell, Strong, Very Strong — against your own thresholds (defaults: 45% / 70% / 85%).
- A **Daily Phase state machine** (intraday charts only) turns that instant reading into something more usable: it holds a persistent Buy or Sell phase through the day, only flipping on a genuine reversal of the dominant side. A neutral reading never breaks an established phase, and the phase resets fresh at the start of each new day.
- An optional **EMA-alignment filter** (length and source both adjustable) only allows longs when the full candle sits above the EMA, and shorts when it sits fully below — a candle straddling the line is skipped either way.
- **A trade fires only when three things line up on a confirmed bar:** the daily phase actually flips, that flip's consensus % clears your chosen threshold, and — if enabled — the EMA filter agrees. Reversals are automatic: the opposite entry closes the open position and opens the new one.
- **The on-chart table shows all of it live:** the headline bias, the exact consensus % and tier, a −100/+100 thermal gauge, the day's phase (with the time it started), your current simulated position and P&L, the oscillator/MA vote split, and — if you turn on "Show Indicator Details" — every individual indicator's own vote as a colored badge.
## Built and tested on
Developed and tuned on **BTC, 30-minute chart**. It's fully open — test it freely on any symbol or timeframe. It has also shown some workable behavior on **BNB**, without any promises beyond that. Please don't assume performance carries over to other assets or timeframes without testing it yourself first.
## This is the Lite build — please read before using
This public release intentionally leaves out a number of the filters, sensitivities, and safeguards used in more advanced private versions. Specifically, it does **not** include:
- **Any position-sizing or capital/risk management.** The backtest applies only a flat **0.05% commission** and nothing else — position sizing defaults to 100% of equity per trade precisely *because* sizing and risk management are intentionally out of scope here. Treat the results as a read on signal quality, not on what a properly risk-managed account would actually return. Adjust position size and add your own risk management in the Properties tab before drawing any conclusions about real-world returns.
- **Extra signal-confirmation or veto filters** beyond the optional EMA alignment.
- **Stop-loss, take-profit, or any exit logic** beyond the automatic reversal on the next opposite signal.
This is by design. The goal is to isolate one idea — the technical-consensus / contrarian question above — cleanly enough to test, not to hand you a plug-and-play, fully risk-managed system.
## Disclaimer
This script is for research and educational purposes only and is not financial advice. It is not a recommendation to buy, sell, or hold any asset. Backtested results are hypothetical, do not reflect real trading conditions (liquidity, slippage beyond what's modeled, exchange downtime, order-execution differences, and more), and past performance — simulated or real — is no guarantee of future results. You are solely responsible for any trading decisions you make and for managing your own risk. Use at your own risk.
## Try it
This lite build isn't deployed on Triggon's Telegram signal feed — add it to your own TradingView chart above to test and evaluate it directly. استراتيجية
Volatility Regime Classifier [AFD]
**What it does**
It answers one question: *is this symbol moving more, or less, than it usually does?*
It measures how far this symbol's own bars have been travelling, ranks that against its recent history, and states the answer as a percentile from 0 to 100 plus a named tier — **QUIET**, **NORMAL**, **ELEVATED** or **EXTREME**. Alongside it you get how the recent stretch compares with the longer one, whether the reading is rising or falling, and a plain-English line saying what that amounts to.
Everything comes from the chart you have open. No VIX, no options data, no implied volatility, no other symbol, and no `request.*()` call of any kind — so it behaves the same on a currency pair, a small-cap, a future or a crypto chart, none of which have an index volatility proxy to borrow.
**How it works**
Realized volatility is measured over three rolling windows — short, mid and long — and one **Sensitivity** setting picks them: Fast 5/15/30, Normal 10/30/60, Slow 20/60/120. Fast is the default.
Four estimators, and this choice matters more than any other setting:
- **Parkinson** (default) — reads the bar's high-low range.
- **Garman-Klass** — reads the range and the open-to-close move.
- **Close-to-close** — reads the dispersion of returns.
- **ATR** — a plain N-bar average of true range. **Not Wilder's smoothing**, so it will
not match TradingView's built-in ATR at the same length. Deliberate, not a bug.
Parkinson is the default because of a specific failure of the close-to-close default it replaced. Close-to-close measures how *scattered* returns are; a chart reader measures how *far* price went. A clean one-way slide has every return pointing the same way, so its dispersion is genuinely low — and a choppy bounce covering the same ground scores higher than the slide did. Range-based estimators read what the eye reads.
The short-window reading is ranked against the last **400 bars** to give the percentile, and the tier follows from that rank with a **band around each boundary**, so a reading parked on a threshold does not flip back and forth on sampling noise. The panel tells you when the band is holding a tier back.
There is a second route into EXTREME, and it exists because a percentile is self-normalising: roughly a tenth of all bars sit in the top tier however quiet the year has actually been. So a bar is also called EXTREME when the short window reaches a set multiple of the long one, whatever its rank. The multiple differs per estimator, because the four do not put that ratio on the same scale.
On intraday charts the **session-gap return is excluded**. It spans a close and the next open, so it is not a return over one bar of trading, and leaving it in made every session open read as a volatility event that never happened. It is dropped, not zeroed.
**How to use it**
Add it and read the dashboard. It starts compact at four rows; switch **Compact dashboard** off for the full nine, which name every window, bound and setting actually in force rather than the defaults. Hover the marker at the end of the line for a glossary of every number, also built from your current settings.
- **The percentile line** in the lower pane, tier zones shaded behind it.
- **Price-chart markers** — the bar column painted when a tier you have chosen is reached, or a box spanning the whole episode. EXTREME is marked by default; QUIET, NORMAL, ELEVATED and RISING are all available, and a marked tier always beats RISING so an overlapping bar's colour is never an accident of ordering.
- **The market context box** on the price chart, at the corner you pick or off. A headline names the character of the tape — `RANGE EXPANDING`, `RANGE COMPRESSING`, `WIDE AND HOLDING` and eight others — over a line naming what to re-check, a line stating what the short-to-long ratio amounts to in words, and a standing line reading **`Size only - this says nothing about direction.`**
That last line has no off switch, and the vocabulary above it never uses the words "up or "down". `EXPANDING` is equally what a hard rally and a hard sell-off look like.
**Three alerts**, all evaluated on confirmed bars only: the regime tier changed, the short-vs-baseline state changed, and the EXTREME tier was entered.
**Repainting**
The script reads nothing but the current chart's own bars. There are no `request.*()` calls, no higher-timeframe data and no `barmerge.lookahead_on` anywhere in it, so there is no future data for it to borrow. Once a bar closes, its reading is settled and does not change afterwards.
The bar still forming is the ordinary exception, and it is worth being explicit about: its high, low and close are still moving, so the reading on it moves too, and the tier on the live bar can change before the bar is done. The three alert conditions are gated to confirmed bars for that reason. Drawn elements — the panel, the context box, the episode box — are drawn at the last bar and update with it.
**Why it is original**
It is built for the **Pine Screener**, which is unusual in this category. The first ten plots are the contract — percentile, tier code, ratio, short-vs-baseline code, acceleration tier, regime-changed flag, the two raw RV levels, the percentile's sample count, and a flag saying whether the outputs are fully defined — so you can rank or filter a whole watchlist by volatility regime instead of reading one chart at a time. Zero `request.*()` calls, and the warmup is sized to fit the Screener's 500-bar window.
The other difference is that **the regime is a number, not a colour.** The visual layer is drawn *from* the percentile and never replaces it; every tinted panel row still states its value in words, and the whole visual layer switches off without a single reported number changing.
**Limitations**
- **It says nothing about direction, and it is not a signal.** No entries, no exits, no targets, no probability, win-rate or expectancy language anywhere in the script. It describes what has already happened on the chart in front of you.
- **It needs history.** At the default Fast preset the percentile is undefined until bar 404 and shows blank until then. The size-based EXTREME route is defined from bar 30, so **a bar can legitimately show an EXTREME tier beside a blank percentile row** — the panel says which is which, and the `Outputs fully defined` plot flags it.
- **A percentile is relative to this symbol's own recent history.** QUIET on one instrument and QUIET on another are not the same absolute amount of movement. The panel carries the absolute RV level next to the rank for exactly this reason.
- **ATR here is a simple average, not Wilder's**, as above.
**Licence:** Mozilla Public License 2.0. مؤشر
Andean Oscillator ProFull credit to alexgrover for the Andean Oscillator, which this is built on.
Original script:
Original writeup: alpaca.markets/learn/andean-oscillator-a-new-technical-indicator-based-on-an-online-algorithm-for-trend-analysis/
WHAT THE ORIGINAL MEASURES
The oscillator tracks two exponential envelopes, one on price and one on price
squared. Differencing them recovers a standard deviation for each direction of
travel. The bull component grows as price pulls away above its lower envelope. The
bear component grows as price pulls away below its upper envelope. Whichever is
larger tells you which side is doing the work, and how hard.
The important thing to understand about this family of readings is that it is a
measure of distance already travelled. It cannot be large until a move has already
happened. That shapes everything about how you use it.
WHAT THIS VERSION ADDS
Adaptive envelope decay. The original decays its envelopes at a fixed rate set by one
length input. This version computes an efficiency ratio over a lookback and slides the
decay rate between a fast bound and a slow bound. In a clean directional move the
envelope forgets old extremes quickly, so the reading responds sooner. In chop it
slows back down to roughly the original behaviour. ER Power controls how much trend
quality it demands before speeding up.
Normalization. The raw components come out in price units, which means a threshold you
find on one symbol is meaningless on another. Percent mode expresses them as a share of
price. ATR mode expresses them in volatility units. Either way your settings travel.
Energy gate. The original compares the components to their own moving average, which
costs you several bars of lag. This version ranks the larger component as a percentile
of its own recent history instead. There is no smoothing involved, so it reacts the
moment expansion starts, and the number means the same thing on every instrument. A
gate of 90 means you only act on readings in the top tenth of what this market
normally produces.
Deadband with hysteresis. Entry requires the spread between the two components to
clear a percentile band. Exit only requires the spread to change sign. That asymmetry
is what lets the faster envelope run without producing constant flips around the zero
line.
Trade management on the chart. When bias flips, the script marks the entry and places
a stop at a multiple of ATR, both drawn on the price chart. Once price has moved a set
distance in your favour the stop jumps to just past your cost, then a chandelier trail
arms and ratchets in one direction only. It never loosens. The trade ends at that stop
or on an opposite signal, which closes and reverses. Stop colour tells you the state
at a glance. Red is the initial stop, orange means breakeven is locked, blue means the
trail is running.
Everything else. Optional squeeze filter requiring a quiet stretch before the gate
opens, the envelopes drawn on the price chart, bias shown three ways so you can read
direction without looking at numbers, and a single alert carrying entry, stop and
energy.
HOW TO READ IT
Green bars, green background, LONG label means the bull component leads and the gate
was open when it flipped. Red is the reverse. Grey bars mean no position. The two
faint black lines in the pane are the deadband, so you can see how far the spread has
to travel before a flip qualifies. Fill intensity between the components tracks
energy, so a washed out fill means the market is quiet by its own standards even if
the components have crossed.
Orange dots along the bottom mark bars where the gate is open but no bias has been
established yet. Think of those as armed and waiting.
SETTINGS
Energy Gate is the one that matters. It sets how selective the entries are, and
nothing else in the script changes behaviour as much. Raise it for fewer and larger
setups, lower it for more frequent ones. Expect a high gate to feel quiet. That is the
setting working.
Stop, breakeven and trail distances are all measured in ATR rather than in R, and that
is deliberate. Denominating protection distance in R ties how far you wait before
protecting profit to how far you are willing to be wrong, and those two should move
independently.
Defaults are set for 15 minute crypto. Presets are included for 5 minute and 1 hour.
Published open source under CC BY-NC-SA 4.0, same license as the original. مؤشر
Quant Regime Oscillator [JOAT]════════════════════════════════
QUANT REGIME OSCILLATOR
════════════════════════════════
A separate-pane composite oscillator that fuses two classic quant signals — how stretched price is from its own mean, and how strong its momentum is relative to recent volatility — into a single bounded line from -100 to +100 . A Kaufman Efficiency Ratio regime filter then decides whether the market is Trending , Mean-Reverting , or Random , so signals only fire when conditions actually support them.
▎ WHAT IT DOES
It condenses mean-deviation and normalized momentum into one clean, smoothed oscillator, classifies the current market regime, and prints sparing BUY / SELL labels only at stretched extremes that align with a trend. A dashboard summarizes every moving part at a glance.
▎ HOW IT WORKS
• Z-Score component — price is measured against its moving mean and standard deviation, then clamped at ±3σ and rescaled to ±100. This captures how far price has deviated from equilibrium.
• Momentum component — rate-of-change is normalized by its own standard deviation (volatility-adjusted), clamped at ±3σ and rescaled to ±100. This measures thrust independent of raw price size.
• Composite blend — the two components are combined using your chosen weights, EMA-smoothed, and clamped into a single -100..+100 oscillator , with an EMA signal line layered on top.
• Regime filter — a Kaufman Efficiency Ratio (directional change ÷ total path) scores 0..1. High values = trending; low values = mean-reverting; in-between = random. Direction is read from price versus its mean.
• Signal gate — a raw BUY needs the oscillator to cross up over its signal, to have recently visited oversold , and to sit inside a trending-up regime. SELL is the mirror. A cooldown enforces a minimum bar gap so labels stay few and never stack.
• Divergence — pivot highs/lows on the oscillator are compared to price pivots to flag regular bullish and bearish divergences.
▎ HOW TO USE IT
• Read the oscillator like a bounded momentum gauge — blue above zero, magenta below. Pushes into the dotted ±80 extreme bands mark exhaustion zones.
• BUY pills appear at oversold turns inside up-trends; SELL pills at overbought turns inside down-trends. Treat them as context-filtered setups, not standalone triggers.
• Use the regime as your playbook: in Trending , favor pullback continuation; in Mean-Rev , fade the band extremes; in Random , stand aside or size down.
• The subtle pane background tint mirrors the regime — blue for trending-up, magenta for trending-down, grey for mean-reverting.
• Divergence dots on the oscillator hint at weakening thrust; combine with your own structure and risk levels.
▎ KEY SETTINGS
• Engine — Z-Score length, Momentum (ROC) length, per-component weights, oscillator smoothing, and signal-line length.
• Regime — Efficiency Ratio window plus the Trending and Mean-Revert thresholds that split the three regimes.
• Signals — Overbought / Oversold levels, OB/OS recall window, minimum bars between signals (cooldown), and divergence pivot length.
• Visuals — toggle the gradient fill, oscillator line, signal line, regime background, and signal markers.
• Dashboard — show/hide, position, and text size.
▎ DASHBOARD
A compact blue/magenta panel reporting: the current bias (Long / Short / Flat), the composite score, raw Z-Score in σ, the momentum value, the active regime with a strength percentage, the OB/OS state , any live divergence , and the current signal status.
▎ ALERTS
• QRO — Long — oscillator crossed up from oversold in a trending-up regime.
• QRO — Short — oscillator crossed down from overbought in a trending-down regime.
• QRO — Any Signal — fires on either a long or short signal.
▎ NOTES
• Works on all timeframes and all assets — the oscillator is self-normalizing, so it adapts to the instrument automatically.
• Every visual layer is toggleable for a clean chart; the cooldown keeps markers sparse on any timeframe.
• Signals confirm on the closed bar and are non-repainting once the bar completes; divergence markers reference confirmed pivots offset back by the pivot length.
For research and education only. This is not financial advice. No indicator can predict the future, and past behavior does not guarantee future results. Always do your own analysis and manage your own risk.
Made with passion by JackOfAllTrades ⚡
مؤشر
Euphoria Momentum Oscillator📊 Euphoria Momentum Oscillator
🧾 Brief Description
A momentum oscillator that combines WaveTrend-style smoothing, adaptive overbought/oversold zones, and signal-line pivot detection to visualize momentum expansion, exhaustion, and reversals.
📖 Full Description
🔍 Overview
The Euphoria Momentum Oscillator is a smooth momentum tracking tool designed to help you understand market emotion cycles inside price action.
Instead of only showing overbought/oversold levels, it builds a continuous momentum wave that highlights:
📈 Momentum expansion
📉 Momentum exhaustion
🔄 Potential reversal zones
⚖️ Trend pressure shifts
It is built for context, not prediction, helping traders read structure inside momentum behavior.
⚙️ Core Engine
At its core, the indicator:
Builds a smoothed momentum wave from price deviation
Applies dual-layer smoothing to reduce noise
Scales movement using an amplitude multiplier for adaptability
👉 Result: a clean oscillator that reacts smoothly to market cycles.
📡 Signal Logic
A hidden signal line is used to detect momentum turning points.
This helps identify:
🔴 Peak momentum exhaustion (possible reversal down)
🟢 Trough momentum exhaustion (possible reversal up)
⚡ Transition phases between expansion & contraction
These signals are only shown when structure confirms a shift — not raw noise.
🌡️ Market Zones
The oscillator uses dynamic sentiment zones:
🔴 Overbought zone (Euphoria region)
→ Momentum may be extended or overheating
🟢 Oversold zone (Fear region)
→ Momentum may be oversold or exhausted
👉 These zones are contextual, not direct buy/sell signals.
🎯 Visual Language
🟢 Rising line = increasing bullish momentum
🔴 Falling line = increasing bearish momentum
🌈 Gradient zones = intensity of emotional pressure
🟡 Yellow dots = entry into extreme zone
🔴 / 🟢 dots = confirmed momentum pivot points
📊 Dashboard
A built-in dashboard shows:
📌 Sentiment state (Fear / Neutral / Euphoria)
📊 Current oscillator value
📉 Trend bias vs 50 EMA
This helps quickly understand market context at a glance.
🔔 Alerts
You can set alerts for:
🚨 Entering Euphoria zone (overbought pressure)
🚨 Entering Fear zone (oversold pressure)
📉 Momentum peak formation
📈 Momentum trough formation
All alerts are triggered only after structural confirmation.
⚙️ Inputs
Customize:
Channel length (momentum sensitivity)
Smoothing strength
Signal line speed
Amplitude scaling
Overbought / oversold thresholds
Visual vertical lines toggle
🧠 How to Use
Best used for:
📈 Momentum tracking
🔄 Reversal context spotting
📊 Trend continuation vs exhaustion analysis
🧩 Multi-timeframe confirmation setups
👉 Works best when combined with:
Price structure
Support/resistance
Trend indicators
⚠️ Limitations
This is a context tool, not a prediction system.
Momentum extremes can persist in strong trends
Signals should not be used alone
Confirmation from price action is recommended
💡 Originality
This indicator is not a standard oscillator.
It introduces:
🌊 WaveTrend-inspired momentum engine
🧠 Dual smoothing architecture
📡 Signal-line pivot detection
🌡️ Adaptive sentiment zones
📊 Structured dashboard context layer
👉 The goal is to transform raw momentum into readable market emotion cycles, not just overbought/oversold signals. مؤشر
Adaptive Momentum Oscillator (MTF Signal Framework)📖 Overview
The Adaptive Momentum Oscillator is a multi-layer analytical tool designed to evaluate market momentum through a combination of smoothed price deviation, signal averaging, and regime-based visualization.
Instead of relying on a single momentum calculation, the indicator builds a structured view of market behavior by separating:
underlying momentum pressure
signal smoothing
and trend regime states
This allows traders to interpret market conditions with reduced noise and clearer directional context.
⭐ Key Features
🔹 Multi-Layer Momentum Structure
The oscillator combines raw momentum movement with smoothed signal lines to separate short-term fluctuations from broader directional bias.
🔹 Signal Confirmation Logic
Buy and sell conditions are derived from structured momentum shifts rather than single threshold crossings, helping reduce premature signals in choppy conditions.
🔹 Trend Regime Visualization
The indicator highlights different market phases:
bullish expansion zones
bearish expansion zones
neutral or transition phases
This helps contextualize momentum behavior instead of treating all movement equally.
🔹 Histogram Momentum Tracking
The histogram represents the acceleration and deceleration of momentum, allowing traders to observe weakening or strengthening trends.
🔹 Dynamic Signal Behavior
Signals adapt to market conditions instead of using fixed static rules, improving responsiveness during volatility changes.
📊 How to Interpret
🟢 Buy Signal
Indicates that momentum has shifted upward and confirmation conditions are aligned with bullish pressure.
🔴 Sell Signal
Indicates that momentum has shifted downward and bearish pressure dominates recent structure.
📉 Histogram
Increasing bars = strengthening momentum
Decreasing bars = weakening momentum
Color shifts = regime transitions
🎯 Best Applications
Swing trading
Momentum confirmation
Trend filtering
Reversal detection
Market structure analysis
⚠️ Limitations
This indicator should not be used as a standalone trading system.
Momentum signals may lag during rapid reversals, and additional confirmation from price action or risk management is recommended.
💡 Originality
Unlike traditional oscillators such as MACD or RSI, this script is designed as a multi-layer momentum framework, where:
raw momentum
smoothed signal behavior
and regime classification
are combined into a unified structure.
The goal is not to generate isolated signals, but to provide a continuous model of market momentum behavior across different phases. مؤشر
Participation-Adjusted Momentum [TradeDots]Participation-Adjusted Momentum
Summary
This indicator computes a momentum oscillator that has been adjusted by participation quality . Raw momentum (standardized rate-of-change) is multiplied by a quality blend derived from volume percentile, close-location alignment within the bar, and range-per-volume efficiency. The intent is to differentiate strong momentum supported by participation from moves that look impressive on price alone but occur on thin volume or wide ranges with little net travel. The histogram is colored by one of five interpretable states (Strong Bull, Strong Bear, Thin, Quiet Accumulation, Noisy) so users see at a glance whether to trust a momentum reading.
What is original here
Momentum oscillators (rate-of-change, MACD, RSI) and volume oscillators (volume percentile, MFI) are widely available. This script's contribution is the deliberate combination into a single adjusted reading, plus the five-state classification that maps raw-momentum / participation combinations to labelled regimes. The "Quiet Accumulation" state (low momentum but rising volume percentile) and the "Thin" state (strong momentum but low participation) are specifically called out because they are the most actionable readings — both indicate that the price reading and the order-flow reading disagree, and that disagreement deserves a label.
How it works
Each bar, the following quantities are computed.
Raw momentum. Rate-of-change of close over a configurable length, then z-scored (subtract the mean, divide by the standard deviation) over the normalization lookback. The result is approximately bounded but can exceed plus or minus 3 in extreme moves.
EMA slope. A 50-period EMA's change over a configurable lookback, min-max normalized to 0-100. Used as a secondary directional bias (computed and exposed as a hidden plot, but not directly added to the displayed oscillator).
Volume percentile. Volume rank over the normalization lookback (typically 100 bars).
Close-location value. Where the close sits within the bar's high-low range, expressed as a percentage. For an upward-direction reading, a close near the bar's high indicates buyers won the bar; for a downward-direction reading, a close near the bar's low indicates sellers won.
Participation. Volume percentile (divided by 100) multiplied by direction-aligned close-location value (also normalized to 0-1). Result is in ; higher means "good participation".
Range per volume. Bar range divided by volume. High range per volume means a wide candle moved on thin flow — typical of news spikes, illiquid prints, or false moves. The percentile rank of range-per-volume is inverted (low range-per-volume gives a high "efficiency score") and used as a quality factor.
Quality blend. A weighted combination: 0.4 * participation + 0.4 * range_efficiency + 0.2. The +0.2 floor ensures that even with zero participation and zero efficiency, the adjusted momentum retains 20% of the raw signal so the oscillator does not flatline completely.
Adjusted momentum = raw momentum × quality blend.
State classification (mutually exclusive):
Strong Bull : raw momentum at or above +threshold and participation at or above 0.55
Strong Bear : raw momentum at or below −threshold and participation at or above 0.55
Thin : absolute raw momentum at or above threshold and participation below 0.35 — momentum without volume, a warning state
Quiet Accumulation : absolute raw momentum below the quiet threshold and volume percentile above the quiet-volume floor — flat price but rising participation
Noisy / Low Quality : the catch-all when none of the above apply
The histogram bar color reflects the current state.
Repainting and data integrity
All factors are computed on confirmed bar values; alerts are gated by barstate.isconfirmed. No request.security() calls are made — the script operates entirely on the chart timeframe.
How to read the chart
The primary plot is the adjusted-momentum histogram, colored by state.
A thin overlay line shows the same value with continuous color for easy zero-line reading.
Reference lines at zero and at ±1 standard deviation provide context for how extreme the current reading is.
Hidden plots expose raw momentum, participation, volume percentile, and direction so they are available in the Data Window.
The dashboard panel shows the current state in the header, then numeric readings for raw momentum (in z-units), adjusted momentum, volume percentile, participation, range efficiency, and the quality blend.
Inputs
Inputs are grouped into three sections.
Core Settings : ROC length, percentile / z-score lookback, EMA slope length, slope lookback bars, strong-momentum z-threshold, quiet-accumulation maximum z, quiet-accumulation minimum volume percentile.
Visual Settings : zero-line toggle, ±1σ band toggle, dashboard toggle, panel position and size, panel background color.
Any Alert() function call conditions : per-alert toggles.
Alerts
Four alert conditions are provided, each firing on the first bar the state is entered:
Strong Bull Momentum
Strong Bear Momentum
Quiet Accumulation Detected
Momentum Without Volume (the "Thin" warning state)
Each is declared via alertcondition() and is fired programmatically through alert() when the corresponding input toggle is enabled, with alert.freq_once_per_bar_close. Alert messages include {{ticker}} and {{interval}} placeholders.
How to use this script
This is a confirmation indicator. It does not generate entries on its own.
When considering an entry on price strength alone, check this indicator. A Strong Bull or Strong Bear state confirms that volume and close location support the move.
The "Thin" state is a warning. A breakout that prints during a Thin reading should be treated more cautiously than the same breakout during Strong Bull.
The Quiet Accumulation state can identify periods of base-building before a move and is useful as a "watchlist" signal.
Use alongside a setup-specific indicator for entry timing.
Limitations and honest caveats
Volume quality varies dramatically between markets. On crypto exchanges, wash-trading and bot-driven order flow can produce misleading volume percentile readings. Apply with awareness.
Z-score normalization requires the lookback to contain a representative variety of states. On instruments with strong regime changes, early-bar z-scores may be unreliable until the lookback fills.
The close-location alignment factor reads single-bar close behavior. On gappy markets or after market closes, the alignment may not reflect intraday order flow.
The script does not signal direction independently; it adjusts and labels momentum that is already present.
The +0.2 floor in the quality blend is a design choice to avoid flat-lining the oscillator. Users who want a strict "zero adjustment when participation is zero" reading can set the participation weights higher and adjust the floor by modifying the source code.
Disclaimer
This script is published for informational and educational purposes. It is not investment advice and is not a recommendation to buy or sell any instrument. Adjusted momentum is a descriptive measure, not a prediction of future price. Users are solely responsible for their own trading decisions and risk management.
مؤشر
ATR Stop Oscillator**What This Indicator Does — In Plain Terms**
This is a trend-following tool that measures how far price has moved away from its own volatility-based "safety line" (the ATR trailing stop), and displays that distance as a bar chart (histogram) below your main price chart — similar in spirit to how RSI or MACD sits below the chart, except this one is tracking distance from a trailing stop instead of momentum.
Here's the core idea in one sentence: **the indicator draws an invisible line that trails behind price and adjusts itself based on volatility (ATR), and the oscillator shows you how many "ATR units" price currently is above or below that line.**
- When the bars are **green and above the zero line**, price is above its trailing stop — meaning the trend is currently bullish/long-favoring.
- When the bars are **red and below the zero line**, price is below its trailing stop — meaning the trend is currently bearish/short-favoring.
- The **farther the bar is from zero**, the more "stretched" price is from its stop, in multiples of ATR (e.g., a reading of 3.0 means price is 3 full ATR units away from the stop line).
- When the bars **flip from red to green (or vice versa)**, that's a trend change — and that's exactly what triggers your alert.
---
**Input-by-Input Breakdown**
**Non-Repainting Signals (`ConfirmOnClose`)**
- **What it does:** Controls whether the trend-change alert waits for the current candle to fully close before firing, or fires immediately as soon as the condition is met — even mid-candle.
- **Why it matters:** If left ON (default), you avoid false or "fake" signals that flip back and forth while a candle is still forming — the alert only confirms once the bar is locked in. If turned OFF, you'll get faster signals, but some of them may reverse or disappear before the candle actually closes, since price is still moving. Think of it as a tradeoff between speed and reliability.
- **Practical use:** Leave this ON for swing trading or anything where you can't watch the chart constantly. Turn it OFF only if you're actively watching the screen and want the earliest possible warning, accepting the risk of a signal that later gets invalidated.
**ATR Period (`Atr`)**
- **What it does:** Sets how many bars are used to calculate the Average True Range (ATR) — the volatility measurement this whole indicator is built on. Default is 5.
- **Why it matters:** A shorter period (like 5) makes the ATR — and therefore the trailing stop and oscillator — more reactive to recent price swings, so it adjusts quickly but can feel "twitchy" or noisy. A longer period (like 20 or 50) smooths things out, making the stop line and oscillator move more slowly and steadily, but it'll lag behind sudden volatility changes.
- **Practical use:** Lower values suit fast-moving or short-timeframe trading (scalping, day trading). Higher values suit slower, longer-term trend following where you don't want to be shaken out by every small wiggle.
**Multiplier (`Mult`)**
- **What it does:** Multiplies the ATR value to determine how far away the trailing stop sits from price. Default is 5.
- **Why it matters:** This directly controls how "loose" or "tight" your trailing stop is. A higher multiplier (like 5 or higher) gives price more room to breathe before the trend is considered reversed — fewer false flips, but bigger moves against you before you get an alert. A lower multiplier (like 1 or 2) tightens the stop, giving you faster trend-change signals, but at the cost of more false flips during choppy/sideways price action.
- **Practical use:** This is your single biggest lever for tuning sensitivity. Tighten it if you're getting alerts too late or missing moves; loosen it if you're getting whipsawed by too many false trend-change alerts during sideways markets.
**Above Stop Color (`PosColor`)**
- **What it does:** Sets the color of the oscillator bars when price is above the trailing stop (positive/bullish readings). Default is green.
- **Why it matters:** Purely visual — it does not affect any calculation, alert, or signal logic. It only changes what you see on the chart.
- **Practical use:** Adjust this to match your personal chart theme or color-blind-friendly palette if needed. No functional impact either way.
**Below Stop Color (`NegColor`)**
- **What it does:** Sets the color of the oscillator bars when price is below the trailing stop (negative/bearish readings). Default is red.
- **Why it matters:** Same as above — cosmetic only, no effect on calculations or alerts.
- **Practical use:** Same as above — purely a visual preference setting.
---
**What You'll See on the Chart**
- A **histogram (bar chart)** oscillating above and below a dashed gray zero line, in your own separate pane below the price chart.
- **Green bars** = price above the ATR trailing stop (bullish state).
- **Red bars** = price below the ATR trailing stop (bearish state).
- **No labels or markers** on the price chart itself — you removed those. All the trend information lives in this oscillator pane only.
**What Triggers an Alert**
- The alert fires only on an actual **trend flip** — meaning the internal trend direction changed from bullish to bearish or vice versa, not just because the oscillator crossed zero on a fluke tick.
- You'll get one alert message telling you whether it flipped **BULLISH** or **BEARISH**, plus two separate alert conditions in TradingView's alert menu if you'd rather set them up individually.
If any of this doesn't match how you're actually planning to use it (e.g., you want the color inputs to also influence something functional, or you want a numeric readout of the current ATR-multiple value), tell me and I'll adjust — I didn't want to assume beyond what's in the script. مؤشر
RSI Volume-Validated Overbought/OversoldRSI Volume-Validated Overbought/Oversold
OVERVIEW
This indicator combines a standard RSI with a volume validation layer. The core idea: an RSI reading in overbought or oversold territory does not by itself guarantee that price will decelerate or reverse — the move often needs participation (volume) behind it to be meaningful. This script accumulates volume while price sits inside an overbought or oversold RSI zone and only flags the episode once that accumulated volume reaches a defined threshold, distinguishing zones with real participation from zones with weak, low-volume RSI extremes that are more likely to be ignored by price.
WHAT IT IS MADE OF
1. RSI Engine
A standard RSI (configurable length and source) checked against two configurable levels: an overbought level (default 70) and an oversold level (default 30).
2. Volume Accumulator
From the moment RSI enters an overbought or oversold zone, the indicator starts summing the volume of every bar for as long as RSI remains inside that zone. This running total resets to zero each time a new zone episode begins (i.e., each fresh entry into overbought or oversold after having been outside it).
3. Volume Threshold
A simple moving average of volume (default length 20) multiplied by a user-defined factor (default 8) forms the validation threshold. This threshold is recalculated on every bar using current volume conditions.
4. Validation Logic
The indicator continuously compares the accumulated zone volume against the threshold. The first bar where the accumulated volume reaches or exceeds the threshold — while RSI is still inside the zone — triggers the signal for that episode. Only one signal can fire per zone episode; once triggered, the indicator will not signal again until RSI exits the zone and re-enters it later.
WHAT IT SIGNALS AND HOW
- A green upward triangle below the bar marks a validated oversold episode (accumulated volume met the threshold while RSI was oversold).
- A red downward triangle above the bar marks a validated overbought episode (accumulated volume met the threshold while RSI was overbought).
- A label is plotted at the signal bar showing the exact accumulated volume figure for that episode, so the reader can see how much participation triggered the validation.
- RSI readings that reach overbought/oversold but never accumulate enough volume before exiting the zone produce no signal at all. These "weak" episodes are intentionally left unmarked.
HOW TO INTERPRET IT
A signal does not mean "buy here" or "sell here." It means: at this point, price has been overbought/oversold for long enough, with enough volume behind that condition, that the RSI extreme is more likely to carry real weight. Historically, this tends to coincide with one of three outcomes:
- Price decelerates and reverses direction.
- Price decelerates and consolidates/pauses before continuing.
- Price continues in the same direction, but at a reduced pace.
The signal is a condition-strength marker, not a directional entry trigger.
HOW TO USE IT
Use this indicator as a filter or confirmation layer on top of your own analysis — for example, alongside support/resistance, structure, or other timing tools — to judge whether a given overbought/oversold reading is likely to matter. It is best suited as a heads-up that momentum may be about to change character, not as a standalone trigger for opening positions.
LIMITATIONS
- This indicator does NOT generate buy/sell entries. It only flags when a volume-validated overbought/oversold condition occurs. Any trading decision based on it requires additional confirmation and risk management from the user.
- It does not predict the magnitude or exact timing of a reversal or deceleration — only that the condition has met a volume-based validation threshold.
- The volume SMA and threshold factor are fully adjustable; results will vary significantly by asset, timeframe, and the chosen factor. Defaults shown here (SMA length 20, factor 8) were tuned through visual backtesting and may need re-calibration for other instruments or timeframes.
- On instruments or data feeds where volume data is unavailable or unreliable (e.g., some spot forex feeds), the volume accumulation and threshold comparison will not function as intended.
- This script does not repaint: each signal is generated and locked in on the bar where the volume threshold is met and does not change on historical bars after that point. مؤشر
Market Microstructure Pulse [JOAT]MARKET MICROSTRUCTURE PULSE
A composite microstructure oscillator that fuses three lower-timeframe-reconstructed flow primitives into a single bounded pulse line — the tick imbalance, the aggressive ask/bid streak, and the single-bar massive imbalance event. The pulse tells you in one number whether buyers or sellers are currently dominant at the tape level, and whether that dominance is at warning or extreme intensity.
Lower-timeframe reconstruction
Real microstructure lives below the chart timeframe. The pulse engine pulls intrabar prints from a configurable LTF (default 1 minute; auto-mode picks ~1/20 of the chart TF) and classifies each tick via the standard tick rule. The classified ticks are then EMA-smoothed by a configurable pulse length (default 14) and optionally volume-weighted (default ON) so a heavy print contributes proportionally more to the read than a light one.
The output is a smoothed signed value bounded approximately in where:
+1 — all recent ticks were buy-classified.
−1 — all recent ticks were sell-classified.
0 — perfectly balanced flow.
Aggressive streak histograms
Two separate counters track consecutive same-side ticks — one for aggressive asks, one for aggressive bids. When a streak exceeds the Aggressive Streak Min threshold (default 5), it qualifies as institutional persistence. The two histograms are rendered as a colour-coded background to the pulse line so you can see at a glance which side has been running consecutively. EMA-smoothed for visual stability.
Massive imbalance event
A single-bar event: when one side's share of total bar volume exceeds imbalancePct (default 80%), a Massive Imbalance event fires. This is the script's strongest single-bar read — institutional decisiveness landing on the tape.
Two-tier threshold system
Pulse Warning — |pulse| above the warning threshold (default 0.50). Inner band, visual reference.
Pulse Extreme — |pulse| above the extreme threshold (default 0.70). Triggers the Pulse Extreme alert and tints the chart background.
A toggleable Aggression Flip Marker prints a glyph at the bar where the pulse sign actually flips — useful for catching the moment dominance rotates sides.
Visual system
Pulse line in the iridescent palette (magenta buy / cyan sell) with configurable width.
Aggressive streak histograms — two-sided coloured columns behind the pulse (transparency configurable).
Threshold levels at ±warning and ±extreme (toggleable).
Gradient fill from pulse line to zero, coloured by current sign (transparency configurable).
Background tint on extreme — magenta or cyan tint when |pulse| is above extreme threshold (transparency configurable).
Aggression flip markers at sign-change bars (toggleable).
A locked Iridescent palette (magenta buy aggression / cyan sell aggression / yellow extreme accent on pure black) gives the pane a distinctive cyberpunk-tape identity.
Dashboard
Monospaced 11-row table positionable to any of nine corners. Surfaces:
Current pulse value with sign.
Buy streak count and sell streak count.
Aggressive side dominance with bar age.
Last extreme event direction with bars-ago.
Last flip direction with bars-ago.
Last massive imbalance event with bars-ago.
LTF in use, volume-weighting flag, pulse EMA length.
Threshold values for warning and extreme.
Alerts
Three alert conditions, each independently controllable:
Pulse Extreme — fires when |pulse| crosses above extreme threshold.
Aggression Flip — fires when pulse sign flips (positive ↔ negative).
Massive Imbalance — fires when a single bar's directional share exceeds the imbalance threshold.
How to read it
Three reads, in order of conviction:
Massive Imbalance alert at a structural level — the highest-conviction single read. Institutional decisiveness landed on the tape at a known S/R; the next directional move is more conviction-aligned with the imbalance side.
Pulse Extreme + matching aggressive streak — sustained dominance. The pulse is decisively past its extreme threshold AND the streak histograms show consecutive same-side runs above the streak minimum. This is the regime where momentum tools have their largest edge.
Aggression Flip after extreme — exhaustion read. The pulse hit extreme then flipped sign; the institutional commitment that drove the extreme has just rotated. Often produces clean reversals.
Suggested settings
Defaults (1m LTF, pulse EMA 14, streak EMA 7, volume-weighted ON, ±0.50 / ±0.70 thresholds, 80% imbalance, 5-tick streak min) are tuned for 5m–15m charts on liquid futures and crypto. For lower-timeframe scalping, drop LTF to 15s or 30s (Premium plan required) and pulse EMA to 8. For HTF, set LTF auto-mode and raise streak min to 10. The volume-weighting is the recommended default — without it, equal-tick instruments dominate the read regardless of size.
Originality
The implementation — the LTF tick-rule reconstruction with optional volume weighting, the bounded pulse formulation, the dual aggressive-streak histograms with EMA smoothing, the two-tier (warning / extreme) threshold system, the single-bar massive-imbalance detector, the aggression-flip marker logic, the chart-overlay extreme tinting, and the iridescent dual-hue palette — is JOAT-original. No third-party code reused. The pulse is the original composite formulation.
Limitations
Reconstructed tick direction is an inference — the tick rule is the accepted public-market proxy but it is not a direct read of bid/ask volume. Sub-minute LTFs require a TradingView Premium or Ultimate plan. The pulse is bounded approximately in but extreme volume-weighted reads can briefly exceed those bounds; this is intentional and not a bug. EMA smoothing introduces a small lag; turn pulse length to 1 to see the raw imbalance.
—
-made with passion by jackofalltrades
مؤشر
MACD Momentum Entry Engine [trade_w_samet]🎯 MACD Momentum Entry Engine
MACD Momentum Entry Engine is a structured momentum-analysis and visual trade-model indicator designed to help traders study confirmed MACD events, momentum quality, directional persistence, market regime, trend alignment, candle confirmation, and multi-target risk references directly from one coordinated workflow.
The script is built around one central idea:
A MACD event should not automatically become an entry signal.
Instead of treating every MACD crossover as equally meaningful, the engine first identifies the type of momentum event, then evaluates its strength, expansion, slope, acceleration, market environment, candle quality, directional persistence, and optional trend alignment before a permanent LONG or SHORT setup is accepted.
The indicator includes:
• Configurable MACD fast, slow, and signal lengths
• EMA, SMA, RMA, and WMA calculation options
• Early Trigger and Momentum Confirmed entry timing
• Reversal, Continuation, Zero-Line Reclaim, and Momentum Expansion setups
• A transparent 0–100 Momentum Quality Score
• Alignment, histogram strength, expansion, slope, and acceleration scoring
• Loose, Balanced, Strict, and Off quality modes
• A separate 0–100 Anti-Chop Market Regime Score
• ADX, price efficiency, EMA separation, and volatility-expansion analysis
• A separate 0–100 Entry Qualification Score
• Candle body, close location, MACD separation, persistence, impulse, and trigger-context analysis
• A final composite setup score
• A+, A, B, and C internal setup grades
• Optional chart EMA, confirmed higher-timeframe EMA, and combined trend bias
• Confirmed higher-timeframe calculations
• Zero-line directional filtering
• ATR-normalized absolute histogram-strength filtering
• Internal signal cooldown and same-bar re-entry protection
• One-active-trade-at-a-time visual management
• ATR-based and XAUUSD fixed-pip risk models
• Three visual take-profit levels
• Stop First and Targets First same-bar assumptions
• Equal-third internal trade-model accounting
• Active Entry, TP1, TP2, TP3, and SL lines
• Active reward and risk boxes on the main chart
• TP3-only historical trade-model preservation
• Separate SL, Closed TP1, Closed TP2, and TP3 result labels
• Adjustable LONG, SHORT, and result-label sizes
• MACD histogram, line, signal line, momentum background, and anti-chop background
• Neon LONG and SHORT dots directly on the MACD line
• A compact main-chart dashboard
• XAUUSD symbol verification and mismatch warning
• Static TradingView alert conditions
• Detailed dynamic alert() messages
• Data Window diagnostics
• Confirmed-close permanent signals
The purpose of this script is to provide a structured way to study when a MACD event is supported by broader momentum and market context.
It is not financial advice.
It is not an automated trading system.
It does not guarantee profitable trades.
It does not execute broker orders.
It does not replace personal analysis, position sizing, or risk management.
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📌 OVERVIEW
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At a high level, MACD Momentum Entry Engine does the following:
• Calculates a configurable MACD using the selected average types.
• Separates the visual histogram scale from the calculation scale.
• Detects confirmed MACD crossovers and zero-line events.
• Identifies Reversal, Continuation, Zero-Line Reclaim, and Expansion setup types.
• Optionally accepts the event immediately through Early Trigger mode.
• Optionally arms the setup and waits for renewed momentum through Momentum Confirmed mode.
• Measures momentum alignment, histogram strength, histogram expansion, MACD slope, and acceleration.
• Produces separate bullish and bearish 0–100 Momentum Quality Scores.
• Measures market regime using ADX, directional efficiency, EMA separation, and volatility expansion.
• Produces a separate 0–100 Market Regime Score.
• Evaluates candle direction, body quality, close location, MACD separation, persistence, and price impulse.
• Produces separate bullish and bearish Entry Qualification Scores.
• Combines momentum, regime, and entry quality into a final composite score.
• Assigns an internal A+, A, B, or C grade.
• Applies optional chart EMA and confirmed higher-timeframe EMA bias.
• Applies zero-line, absolute-strength, cooldown, and trade-slot controls.
• Confirms permanent LONG and SHORT signals only after candle close.
• Opens one visual trade model from the confirmed signal-bar close.
• Calculates Entry, Stop Loss, TP1, TP2, and TP3.
• Tracks targets and stop events from the next candle onward.
• Applies the selected same-bar processing assumption.
• Preserves completed TP3 models when historical display is enabled.
• Removes trade drawings after SL, Closed TP1, or Closed TP2 outcomes.
• Converts the original entry label into the final result for non-TP3 outcomes.
• Adds a separate electric-purple FULL TARGET label for TP3 outcomes.
• Displays Momentum, Trend, Regime, Trade, Last Result, and Protection states in the bottom-right dashboard.
• Provides static and dynamic alert options.
• Exposes diagnostic values through TradingView’s Data Window.
The indicator does not use machine-learning prediction.
Its scores are not probabilities.
Its labels do not promise future direction.
The script is a rule-based educational momentum framework that explains how a raw MACD event becomes an accepted or rejected setup.
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🧠 CORE IDEA
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The core idea behind MACD Momentum Entry Engine is that a crossover alone contains limited context.
A basic crossover only confirms that one MACD line has moved through another.
It does not automatically explain:
• whether the histogram is expanding
• whether momentum is accelerating
• whether the move is occurring in a directional or choppy market
• whether the signal candle supports the direction
• whether MACD separation is meaningful relative to recent behavior
• whether momentum has persisted
• whether price is aligned with an optional trend filter
• whether a recent signal already occurred
• whether a visual trade model is already active
The engine therefore uses a staged sequence:
MACD event
→ setup classification
→ momentum-quality scoring
→ optional trend-bias validation
→ anti-chop regime scoring
→ entry qualification
→ additional signal filters
→ confirmed signal
→ visual trade model
→ TP / SL lifecycle
→ result handling
For bullish conditions, the script studies upward MACD transitions, positive histogram alignment, renewed expansion, positive slope, positive acceleration, bullish candle behavior, and directional persistence.
For bearish conditions, the same process is mirrored.
The purpose is not to find the largest possible number of signals.
The purpose is to make the acceptance process visible, configurable, and understandable.
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🧩 WHY THIS SCRIPT IS NOT A SIMPLE BUY/SELL INDICATOR
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MACD Momentum Entry Engine is not designed to be used as a blind buy/sell system.
A raw MACD event must move through multiple stages:
A crossover or momentum event appears
→ the event is classified
→ the momentum-quality layer is evaluated
→ the trend-bias layer is evaluated
→ the anti-chop layer is evaluated
→ the candle and entry-quality layer is evaluated
→ zero-line and absolute-strength filters are checked
→ cooldown and active-trade restrictions are checked
→ the setup must remain valid at candle close
→ a permanent LONG or SHORT setup is printed
→ Entry, SL, TP1, TP2, and TP3 are projected
→ the trade model is monitored from the following candle
→ the model closes at TP3 or Stop
→ the final chart result is preserved or cleaned
Each module serves a different purpose.
The MACD core defines the momentum relationship.
The setup engine identifies what kind of event occurred.
The momentum-quality engine measures the internal strength of that event.
The anti-chop engine measures whether the broader environment is directional enough for the selected mode.
The entry-qualification engine evaluates the signal candle and immediate price response.
The trend-bias engine optionally restricts direction.
The trade engine standardizes the visual risk framework.
The dashboard explains the current engine state.
This makes the script a coordinated momentum-analysis workflow rather than a basic crossover marker.
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⚙️ HOW THE SCRIPT WORKS
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The script operates through connected calculation stages.
First, it calculates every supported moving-average type on every candle.
The selected average type is then used for the fast MACD average, slow MACD average, and signal average.
The MACD line is the difference between the selected fast and slow averages.
The histogram is the difference between the MACD line and the signal line.
fastAverage = f_selectMa(macdMaType, fastEma, fastSma, fastRma, fastWma)
slowAverage = f_selectMa(macdMaType, slowEma, slowSma, slowRma, slowWma)
macdLine = fastAverage - slowAverage
signalLine = f_selectMa(signalMaType, signalEma, signalSma, signalRma, signalWma)
histogram = macdLine - signalLine
The histogram visual multiplier changes only the displayed column length.
It does not change:
• the MACD line
• the signal line
• the histogram used by calculations
• quality scores
• setup detection
• trade results
After the MACD core is calculated, the engine measures:
• absolute histogram strength
• one-bar histogram expansion
• MACD slope
• momentum acceleration
• adaptive baselines for each measurement
The setup engine then checks the enabled event types.
The quality, trend, regime, qualification, and additional-filter stages determine whether the setup is eligible.
A final permanent signal is accepted only after the candle closes and every enabled condition remains valid.
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🟢 BULLISH MACD MOMENTUM LOGIC
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A bullish setup begins with one of four enabled event types.
Bullish Reversal
A bullish MACD crossover occurs while the MACD line remains below zero.
This represents a momentum turn from the negative side of the zero line.
Bullish Continuation
A bullish MACD crossover occurs while the MACD line is at or above zero.
This represents renewed bullish alignment on the positive side.
Bullish Zero-Line Reclaim
The MACD line crosses above zero while:
• MACD is above the signal line
• the histogram is positive
• the bar is confirmed
Bullish Momentum Expansion
The histogram resumes positive expansion after a short contraction while:
• MACD remains above the signal line
• MACD slope is positive
• no new crossover is being used on the same bar
• no new zero-line cross is being used on the same bar
The event must then pass the active momentum-quality requirement.
When enabled, it must also pass:
• chart EMA bias
• confirmed higher-timeframe EMA bias
• EMA slope confirmation
• ATR distance from the trend EMA
• anti-chop regime requirement
• entry qualification
• bullish candle direction
• minimum MACD separation
• momentum persistence
• zero-line direction
• absolute histogram strength
• cooldown
• active-trade availability
The final signal uses confirmed-bar logic.
bullishSignal =
barstate.isconfirmed and
bullishEntryCandidate and
bullishZeroLinePass and
absoluteStrengthPass and
bullishQualityPass and
bullishTrendPass and
antiChopPass and
bullishQualificationPass and
bullishCandlePass and
separationPass and
bullishPersistencePass and
cooldownPass and
tradeSlotAvailable
When every active rule passes, the script can display:
• a neon green dot on the MACD line
• a LONG label on the main chart
• setup type, grade, and score information
• a visual Entry, SL, TP1, TP2, and TP3 model
This confirms that the configured bullish momentum conditions were valid at candle close.
It does not mean price must continue upward.
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🔴 BEARISH MACD MOMENTUM LOGIC
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A bearish setup mirrors the bullish process.
Bearish Reversal
A bearish MACD crossover occurs while the MACD line remains above zero.
This represents a momentum turn from the positive side of the zero line.
Bearish Continuation
A bearish MACD crossover occurs while the MACD line is at or below zero.
This represents renewed bearish alignment on the negative side.
Bearish Zero-Line Reclaim
The MACD line crosses below zero while:
• MACD is below the signal line
• the histogram is negative
• the bar is confirmed
Bearish Momentum Expansion
The histogram resumes negative expansion after a short contraction while:
• MACD remains below the signal line
• MACD slope is negative
• no new bearish crossover is being used on the same bar
• no new bearish zero-line cross is being used on the same bar
The setup must then pass the same quality, trend, regime, candle, separation, persistence, strength, cooldown, and trade-slot controls.
A permanent SHORT signal appears only when all active conditions remain valid at candle close.
The script can then display:
• a neon red dot on the MACD line
• a SHORT label on the main chart
• setup type, grade, and score information
• Entry, SL, TP1, TP2, and TP3 references
This confirms that the configured bearish momentum conditions were valid at candle close.
It does not guarantee continued downside movement.
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💎 MACD MOMENTUM QUALITY FILTER SYSTEM
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The script includes a separate bullish and bearish Momentum Quality Score.
The quality layer evaluates five components.
Alignment — maximum 20 points
Bullish alignment requires:
• MACD above the signal line
• positive histogram
Bearish alignment requires:
• MACD below the signal line
• negative histogram
Histogram Strength — maximum 25 points
The absolute histogram value is compared with an adaptive EMA baseline.
This measures whether current separation is meaningful relative to recent MACD behavior.
Histogram Expansion — maximum 20 points
The engine measures the one-bar change in absolute histogram strength.
Points are awarded only when the histogram is expanding in the setup direction.
MACD Slope — maximum 20 points
Bullish setups require positive slope for this component.
Bearish setups require negative slope.
The slope magnitude is compared with its own adaptive baseline.
Momentum Acceleration — maximum 15 points
Acceleration measures the change in MACD slope.
Positive acceleration supports bullish scoring.
Negative acceleration supports bearish scoring.
bullishQualityScore = f_clamp(
bullishAlignmentScore +
bullishHistogramStrengthScore +
bullishExpansionScore +
bullishSlopeScore +
bullishAccelerationScore,
0.0,
100.0
The available quality modes are:
Off
Removes the minimum Momentum Quality Score restriction.
Loose
Requires a minimum score of 45.
Balanced
Requires a minimum score of 60.
Strict
Requires a minimum score of 75 and is the default.
The score is not a win rate.
It is not a probability.
It measures how closely the current MACD event matches the engine’s momentum-strength framework.
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📏 VOLATILITY / ATR NORMALIZATION FILTER
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The indicator uses ATR normalization to compare certain values across changing volatility conditions.
The Absolute Strength Filter calculates:
Absolute Histogram Strength = |Histogram| / ATR × 100.
This value is used as an additional minimum-strength condition.
The default settings are:
• Normalization ATR Length: 14
• Minimum Absolute Strength: 1.0
• Use Absolute Strength Filter: enabled
ATR normalization helps reduce dependence on the raw numerical scale of a market.
For example, a raw MACD histogram value cannot be compared directly across instruments with very different prices and volatility.
Normalization places the histogram in relation to the instrument’s recent ATR.
The same ATR framework is also used by:
• optional price-to-EMA trend buffers
• EMA-separation regime measurement
• price-impulse scoring
• ATR-based trade management
ATR normalization does not make one configuration universal.
Symbols, sessions, exchanges, and data feeds can still behave differently.
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🕯️ DISPLACEMENT QUALITY FILTER
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The entry-qualification engine evaluates whether the signal candle shows enough directional response.
The Candle component contributes up to 25 points.
It is divided into:
Directional Body — maximum 12.5 points
For bullish setups, the engine measures the positive candle body relative to the full candle range.
For bearish setups, it measures the negative body.
Close Location — maximum 12.5 points
Bullish setups receive more points when the close is nearer the candle high.
Bearish setups receive more points when the close is nearer the candle low.
Price Impulse contributes up to 15 additional points.
The engine compares the one-bar directional price movement with ATR.
A bullish price impulse measures positive close-to-close displacement.
A bearish price impulse measures negative close-to-close displacement.
This layer does not predict the next candle.
It measures whether the completed signal candle supports the direction of the MACD event.
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📊 REACTION STRENGTH FILTER
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The engine includes a separate Entry Qualification Score.
Its components are:
Candle Quality — maximum 25 points
Combines directional body and close location.
MACD Separation — maximum 25 points
Measures current histogram separation relative to its adaptive baseline.
Momentum Persistence — maximum 20 points
Measures how long directional MACD and histogram alignment has remained active.
Price Impulse — maximum 15 points
Measures directional close-to-close movement relative to ATR.
Trigger Context — maximum 15 points
Confirms that an eligible setup event is currently active.
The total is limited to 0–100.
Available modes are:
Off
Removes the minimum Entry Qualification Score restriction.
Loose
Requires a minimum score of 45.
Balanced
Requires a minimum score of 60.
Strict
Requires a minimum score of 75 and is the default.
The final signal also uses internal candle-direction, separation, and persistence requirements.
These internal parameters remain active in the background to keep the public settings menu cleaner.
The Entry Qualification Score is not a verified accuracy figure.
It describes the quality of the completed entry context according to the script’s rules.
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🧼 CONFIRMED SIGNAL FILTER
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Permanent LONG and SHORT signals wait for candle close.
The engine uses confirmed-bar checks on:
• MACD crossovers
• zero-line crossings
• expansion triggers
• momentum confirmation
• final LONG and SHORT conditions
The higher-timeframe trend layer also uses previous completed higher-timeframe values.
htfConfirmedClose = request.security(
syminfo.tickerid,
higherTimeframe,
close ,
gaps = barmerge.gaps_off,
lookahead = barmerge.lookahead_on
)
htfConfirmedEma = request.security(
syminfo.tickerid,
higherTimeframe,
ta.ema(close, trendLength) ,
gaps = barmerge.gaps_off,
lookahead = barmerge.lookahead_on
)
This approach prevents an unfinished higher-timeframe candle from becoming the permanent trend reference.
Entry Timing provides two workflows.
Early Trigger
Uses the confirmed setup event directly.
Momentum Confirmed
Arms the setup and waits for a later confirmed candle with:
• continued MACD alignment
• directional histogram
• renewed histogram expansion
• directional MACD slope
The confirmation opportunity is temporary.
If renewed momentum does not appear inside the internal window, the armed setup expires.
The script does not plot final signals into earlier candles.
Historical results can still change when:
• settings change
• symbol data changes
• timeframe changes
• the data provider revises history
• the available chart-history range changes
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🎯 ENTRY MODEL
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When a final LONG or SHORT setup passes every enabled condition, the trade engine can create a visual trade model.
The Entry reference is the close of the confirmed signal candle.
For a LONG model:
• Stop is below Entry
• TP1 is above Entry
• TP2 is above TP1
• TP3 is above TP2
For a SHORT model:
• Stop is above Entry
• TP1 is below Entry
• TP2 is below TP1
• TP3 is below TP2
tradeEntryPrice := close
tradeStopPrice := tradeEntryPrice - selectedStopDistance
tradeTp1Price := tradeEntryPrice + selectedTp1Distance
tradeTp2Price := tradeEntryPrice + selectedTp2Distance
tradeTp3Price := tradeEntryPrice + selectedTp3Distance
The model begins checking TP and SL from the following candle.
This prevents the signal candle’s earlier high or low from being treated as though it occurred after the close-based entry.
The engine stores:
• direction
• entry bar
• entry price
• stop price
• TP1 price
• TP2 price
• TP3 price
• initial risk
• target R values
• TP1 and TP2 progress
• setup type
• setup grade
• risk model
• original signal label
The displayed model is an educational chart reference.
It is not a broker order.
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🛑 ATR STOP-LOSS MODEL
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The indicator includes two risk models.
ATR Based
Stop distance is calculated as:
ATR × ATR Stop Multiplier.
The default settings are:
• ATR Length: 14
• ATR Stop Multiplier: 1.50
• TP1: 0.50R
• TP2: 1.00R
• TP3: 1.50R
The minimum distance is protected by the symbol’s minimum tick.
XAUUSD Fixed Pips
Stop and target distances use:
Selected Pips × XAUUSD Pip Size.
The default settings are:
• Pip Size: 0.01
• Stop Loss: 1000 pips
• TP1: 500 pips
• TP2: 1000 pips
• TP3: 1500 pips
Under the common 0.01 convention, those values correspond to:
• Stop distance: 10.00 price units
• TP1 distance: 5.00 price units
• TP2 distance: 10.00 price units
• TP3 distance: 15.00 price units
Broker conventions can differ.
Users should verify their symbol specification before relying on fixed-pip distances.
The XAUUSD protection system checks the symbol.
The dashboard shows:
• ✅ XAUUSD VERIFIED when XAUUSD Fixed Pips is used on a recognized XAUUSD symbol
• ⚠️ CHECK SYMBOL when the mode is used on another symbol
• 🛡️ ATR MODE when ATR Based is selected
The warning does not block calculations.
It tells the user to verify pip size and target distances.
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🎯 TAKE-PROFIT RR MODEL
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The visual model contains three take-profit levels.
ATR Based mode calculates targets from the initial stop distance:
TP1 Distance = Initial Risk × TP1 RR.
TP2 Distance = Initial Risk × TP2 RR.
TP3 Distance = Initial Risk × TP3 RR.
XAUUSD Fixed Pips mode uses independent fixed target distances.
The script enforces the following order:
TP1 < TP2 < TP3.
If a selected value would violate that order, the next target is moved at least one minimum tick beyond the prior target.
The trade model internally treats the position as three equal portions.
Each target represents one-third of the model.
If Stop is reached after TP1 or TP2, the script calculates an internal net-R result from:
• the portions already modeled as closed at reached targets
• the remaining portion or portions modeled at Stop
This internal calculation supports Data Window counters.
It is not broker-verified performance.
It does not account for:
• spread
• commission
• slippage
• latency
• partial-fill differences
• financing
• order rejection
• execution venue behavior
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📦 ACTIVE TP / SL BOX SYSTEM
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When a confirmed trade model opens, the script can draw on the main chart:
• Entry line
• TP1 line
• TP2 line
• TP3 line
• Stop Loss line
• TP1 reward box
• TP2 reward box
• TP3 reward box
• SL risk box
• LONG or SHORT label
The Entry line is white.
The TP lines are green and initially dashed.
The SL line is red and solid.
The SL box uses a solid border.
When a target is reached:
• the corresponding box becomes more visible
• the corresponding target line becomes solid
• the target line becomes thicker
• the dynamic target alert can fire
When TP3 is reached:
• the complete model closes
• the original LONG or SHORT label remains
• a separate electric-purple TP3 FULL TARGET label appears
• the trade model can remain historically visible
When the model closes at Stop before TP3:
• all active boxes are deleted
• all active trade lines are deleted
• the original LONG or SHORT label is converted into the final result
• the final result becomes SL, CLOSED TP1, or CLOSED TP2
Only TP3 outcomes can retain completed historical boxes and lines.
This is a chart-cleanliness decision.
It does not imply that other outcomes did not occur.
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🚦 ONE ACTIVE TRADE AT A TIME
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The script uses one-active-trade-at-a-time visual management.
When the trade engine is enabled:
• a new trade model cannot open while another model is active
• a new trade cannot open on the same candle that closed the previous model
• the internal setup engine continues calculating
• permanent signals are restricted by trade-slot availability
This prevents overlapping Entry, TP, and SL structures.
It also keeps the trade lifecycle easier to interpret.
When the trade engine is disabled, qualified signals can still be evaluated without opening a visual trade model.
The one-active-model rule is a visual and analytical design choice.
It does not restrict the user’s personal trading activity.
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⚠️ SAME-CANDLE TP / SL HANDLING
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Trade monitoring begins after the entry candle.
If a later historical candle touches both Stop and one or more targets, standard OHLC data does not reveal the exact intrabar sequence.
The indicator therefore provides two assumptions.
Stop First
If Stop and a target are both touched on the same candle, Stop is processed first.
This is the default and more conservative assumption.
Targets First
Reached targets are processed before Stop.
If TP3 is reached, the model closes at TP3.
Otherwise, remaining portions can close at Stop.
Neither mode reconstructs tick-level execution.
The indicator does not know:
• whether the high occurred before the low
• the bid/ask path
• actual fill sequence
• spread at the time
• slippage
• queue priority
• partial fills
The selected same-bar rule is a modeling assumption required by the limits of OHLC candles.
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🏷️ MACD MOMENTUM LABELS
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The indicator uses separate entry and result labels.
Entry labels display:
🚀 LONG
or:
🔴 SHORT
Entry Label Content provides:
Direction Only
Displays only LONG or SHORT.
Grade
Displays direction and setup grade.
Score + Grade
Displays direction, grade, and rounded composite score.
The default is Score + Grade.
LONG and SHORT label sizes can be adjusted independently.
Both default to Small.
The label tooltip contains:
• setup direction
• setup type
• setup grade
• composite score
• Momentum Quality Score
• Entry Qualification Score
• Market Regime Score
• trend-bias state
Result labels include:
🛑 SL
⚠️ CLOSED TP1
✅ CLOSED TP2
🏆 TP3 HIT
✅ FULL TARGET
SL, Closed TP1, and Closed TP2 transform the original entry label.
TP3 creates a separate result label and preserves the original entry label.
All chart-label text uses bold and italic formatting.
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📍 MACD DISPLAY MODES
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The indicator operates in a separate MACD pane while selected trade visuals, entry labels, and the dashboard are forced onto the main price chart.
The MACD pane can display:
MACD Line
A white line representing the difference between the selected fast and slow averages.
Signal Line
A red line representing the selected signal smoothing.
Histogram
Color changes communicate momentum condition:
• stronger green for bullish expansion
• softer green for bullish contraction
• stronger red for bearish expansion
• softer red for bearish contraction
Histogram Visual Length
The default multiplier is 1.60.
This changes visual column length only.
It does not affect calculations.
Neon Signal Dots
Qualified LONG setups produce a neon green glow and center dot on the MACD line.
Qualified SHORT setups produce a neon red glow and center dot.
Momentum Background
The pane background changes according to strong or weak bullish and bearish momentum states.
Anti-Chop Background
A neutral gray background can identify conditions blocked by the Anti-Chop Engine.
Each major visual element can be shown or hidden independently.
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🧹 SETUP INVALIDATION
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Not every raw MACD event remains eligible.
A setup can be rejected or expire because:
• its momentum score is below the selected threshold
• trend bias does not permit the direction
• the market regime is below the active Anti-Chop threshold
• the Entry Qualification Score is insufficient
• candle direction does not support the setup
• MACD separation is insufficient
• directional persistence is insufficient
• the zero-line filter blocks the direction
• normalized histogram strength is too low
• the signal cooldown is active
• another visual trade is active
• a trade closed on the current candle
• Momentum Confirmed mode does not receive renewed expansion in time
• an opposite raw setup replaces the armed direction
The internal cooldown is eight bars.
Momentum Confirmed mode uses a temporary internal confirmation window.
These background controls are intentionally not exposed as advanced public inputs.
They remain part of the engine’s consistency rules.
A rejected event is not displayed as a permanent entry signal.
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📟 DASHBOARD
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The indicator includes a compact dashboard in the bottom-right corner of the main price chart.
The dashboard displays:
Momentum
Possible states include:
• STRONG LONG
• LONG
• STRONG SHORT
• SHORT
• NEUTRAL
Trend
Possible states include:
• BULLISH
• BEARISH
• NEUTRAL
• OFF
Regime
Possible states include:
• TRENDING
• DEVELOPING
• CHOP
• OFF
Trade
Possible states include:
• WAITING
• LONG ACTIVE
• LONG TP1 REACHED
• LONG TP2 REACHED
• SHORT ACTIVE
• SHORT TP1 REACHED
• SHORT TP2 REACHED
Last
Displays the most recent closed model result:
• SL
• CLOSED TP1
• CLOSED TP2
• TP3
Protection
Displays:
• ATR MODE
• XAUUSD VERIFIED
• CHECK SYMBOL
The dashboard is not TradingView Strategy Tester.
It does not display audited brokerage results.
Its states are based on the indicator’s own rule-based calculations.
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🚨 ALERT SYSTEM
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MACD Momentum Entry Engine includes static TradingView alert conditions for:
• MACD Momentum LONG
• MACD Momentum SHORT
• TP1
• TP2
• TP3
• Stop Loss
• XAUUSD Mode Warning
The XAUUSD warning condition is limited to a qualified entry bar when Fixed Pips mode is active on a non-XAUUSD symbol.
The script also includes detailed dynamic alert() messages.
Dynamic Entry messages can include:
• direction
• symbol
• timeframe
• setup type
• setup grade
• composite score
• risk model
• Entry
• Stop Loss
• TP1
• TP2
• TP3
• XAUUSD mismatch warning when relevant
Dynamic target messages can include:
• target name
• direction
• symbol
• timeframe
• reached target price
• Entry
• Stop Loss
• TP1
• TP2
• TP3
Dynamic stop messages can include:
• final result
• direction
• symbol
• timeframe
• Entry
• exit price
• Stop Loss
• whether TP1 or TP2 was reached first
Alerts are monitoring tools.
They do not place or manage broker orders.
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🔔 HOW TO USE ALERTS
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For static conditions:
1. Add MACD Momentum Entry Engine to the chart.
2. Open TradingView’s Create Alert window.
3. Select the indicator as the condition.
4. Choose LONG, SHORT, TP1, TP2, TP3, SL, or XAUUSD Mode Warning.
5. Select a frequency appropriate for confirmed-candle monitoring.
6. Test the alert before relying on it.
For detailed dynamic messages:
1. Enable Detailed Dynamic Alerts in the indicator settings.
2. Open TradingView’s Create Alert window.
3. Select MACD Momentum Entry Engine .
4. Select Any alert() function call.
5. Configure the delivery method.
6. Test the complete message format.
Alert delivery can depend on:
• TradingView servers
• the selected symbol
• the selected timeframe
• market-data availability
• realtime feed status
• user alert configuration
• webhook or external-service availability
Creating an alert does not guarantee broker execution.
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🧪 HOW TO USE THE INDICATOR
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A practical workflow:
1. Add MACD Momentum Entry Engine to a standard candlestick chart.
2. Begin with the default MACD values of 12, 26, and 9.
3. Keep Entry Timing on Early Trigger while learning the setup types.
4. Keep Momentum Quality on Strict for the default selective profile.
5. Keep Anti-Chop on Strict.
6. Keep Entry Qualification on Strict.
7. Observe whether the event is Reversal, Continuation, Zero Reclaim, or Expansion.
8. Review the MACD histogram, line relationship, and neon signal dot.
9. Review the main-chart LONG or SHORT label.
10. Open the label tooltip to inspect the scores and setup type.
11. Review Momentum, Trend, Regime, Trade, Last Result, and Protection in the dashboard.
12. Verify the selected risk model.
13. When using XAUUSD Fixed Pips, confirm XAUUSD VERIFIED.
14. Treat Entry, SL, TP1, TP2, and TP3 as planning references.
15. Use alerts for monitoring rather than blind execution.
16. Compare every setup with personal structure, session, volatility, and risk rules.
17. Test the exact symbol, timeframe, session, and data feed personally used.
The indicator is designed for structured review.
It should not be treated as an automatic decision-maker.
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⚙️ SETTINGS REFERENCE
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⚙️ MACD Core
Calculation Source
Selects the price source used by the MACD calculation.
Fast Length
Controls the fast average.
Default: 12.
Slow Length
Controls the slow average.
Default: 26.
Signal Length
Controls signal-line smoothing.
Default: 9.
MACD Average Type
Selects EMA, SMA, RMA, or WMA for the fast and slow averages.
Signal Average Type
Selects EMA, SMA, RMA, or WMA for the signal line.
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🎯 Entry Engine
Entry Timing
Early Trigger accepts the confirmed setup event directly.
Momentum Confirmed waits for renewed directional histogram expansion and MACD continuation after the setup is armed.
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🧠 Momentum Quality Engine
Quality Filter
Selects Off, Loose, Balanced, or Strict.
Strict is the default.
The score combines:
• alignment
• histogram strength
• histogram expansion
• MACD slope
• momentum acceleration
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📈 Trend Bias Engine
Trend Bias Mode
Selects:
• Off
• Chart EMA
• Higher Timeframe EMA
• Combined EMA
Off is the default.
Trend EMA Length
Controls the chart and higher-timeframe EMA.
Default: 200.
Chart EMA Slope Lookback
Controls the chart-bar lookback used to evaluate EMA direction.
Require EMA Slope Confirmation
Requires a rising EMA for LONG and falling EMA for SHORT.
Higher Timeframe
Selects the confirmed higher-timeframe context.
Default: 60 minutes.
Price-to-EMA ATR Buffer
Requires an optional minimum ATR-normalized distance between price and the trend EMA.
Zero disables the distance requirement.
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🧱 Anti-Chop Engine
Anti-Chop Filter
Selects Off, Loose, Balanced, or Strict.
Strict is the default.
The regime score combines:
• ADX — 35 points
• price efficiency — 30 points
• EMA separation — 20 points
• volatility expansion — 15 points
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✅ Entry Qualification Engine
Enable Reversal Setups
Allows MACD crossovers on the opposite side of zero.
Enable Continuation Setups
Allows MACD crossovers on the directional side of zero.
Enable Zero-Line Reclaims
Allows confirmed MACD zero-line crossings with aligned histogram and signal-line conditions.
Enable Momentum Expansions
Allows renewed histogram expansion after contraction while MACD alignment remains valid.
Entry Qualification Filter
Selects Off, Loose, Balanced, or Strict.
Strict is the default.
The score combines:
• candle quality
• MACD separation
• persistence
• price impulse
• trigger context
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💼 Trade Management Engine
Enable Trade Engine
Enables the one-active-trade-at-a-time visual model.
Risk Model
Selects ATR Based or XAUUSD Fixed Pips.
XAUUSD Fixed Pips is the default.
ATR Length
Controls ATR for the adaptive model.
ATR Stop Multiplier
Controls stop distance in ATR mode.
ATR TP1 Risk/Reward
Controls TP1 distance in ATR mode.
ATR TP2 Risk/Reward
Controls TP2 distance in ATR mode.
ATR TP3 Risk/Reward
Controls TP3 distance in ATR mode.
XAUUSD Pip Size
Controls the price-unit value of one selected pip.
XAUUSD Stop-Loss Pips
Controls fixed Stop distance.
XAUUSD TP1 Pips
Controls fixed TP1 distance.
XAUUSD TP2 Pips
Controls fixed TP2 distance.
XAUUSD TP3 Pips
Controls fixed TP3 distance.
Same-Bar Resolution
Selects Stop First or Targets First.
Show Active TP / SL Zones
Shows Entry, targets, Stop, boxes, and lines on the main chart.
Keep Historical TP3 Zones
Preserves completed TP3 models.
Historical TP3 Trade Limit
Limits completed TP3 models retained on the chart.
Trade Result Labels
Enables SL, Closed TP1, Closed TP2, and TP3 result labels.
SL Label Size
Controls SL result size.
Closed TP1 Label Size
Controls Closed TP1 result size.
Closed TP2 Label Size
Controls Closed TP2 result size.
TP3 Label Size
Controls the separate FULL TARGET label size.
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🛡️ Signal Filters
Zero-Line Filter
Off allows both sides of zero.
Trend Direction requires LONG above zero and SHORT below zero.
Trend Direction is the default.
Use Absolute Strength Filter
Enables ATR-normalized minimum histogram strength.
Normalization ATR Length
Controls normalization.
Minimum Absolute Strength
Controls the required normalized histogram value.
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🎨 Visual Settings
Show MACD Line
Shows or hides the MACD line.
Show Signal Line
Shows or hides the signal line.
Show Histogram
Shows or hides histogram columns.
Histogram Visual Length
Changes histogram display scale without changing calculations.
Show MACD Neon Signal Dots
Shows qualified LONG and SHORT dots on the MACD line.
Show Momentum Background
Shows directional momentum background states.
Highlight Blocked Chop Conditions
Shows a neutral background when Anti-Chop blocks entries.
Show LONG / SHORT Labels
Shows or hides main-chart entry labels.
Entry Label Content
Selects Direction Only, Grade, or Score + Grade.
LONG Label Size
Controls LONG label size.
SHORT Label Size
Controls SHORT label size.
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📟 Mini Dashboard
Show Mini Dashboard
Shows or hides the compact bottom-right main-chart dashboard.
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🔔 Dynamic Alerts
Enable Detailed Dynamic Alerts
Enables runtime alert() messages.
For these messages, create the TradingView alert using:
Any alert() function call.
Input values are hidden from the status line.
MACD plot values are also prevented from creating status-line or price-scale labels, while diagnostic values remain available in the Data Window.
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🧠 WHAT MAKES THIS SCRIPT ORIGINAL
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MACD, moving averages, ATR, ADX, and trend filters are familiar technical-analysis concepts.
These concepts are not unique by themselves.
The originality of MACD Momentum Entry Engine lies in the coordinated process applied to a MACD event:
Configurable MACD event
→ setup-type classification
→ adaptive momentum-strength baselines
→ five-component Momentum Quality Score
→ optional confirmed trend-bias layer
→ four-component Anti-Chop Regime Score
→ five-component Entry Qualification Score
→ final composite score and grade
→ zero-line and normalized-strength validation
→ confirmed-close signal
→ one-active multi-target trade lifecycle
→ TP3-only historical preservation
→ non-TP3 visual cleanup
→ dynamic alerts
→ main-chart diagnostic dashboard
→ XAUUSD mode verification
Distinctive implementation features include:
• four separate setup families
• different logic for Reversal and Continuation crossovers
• zero-line reclaim detection
• renewed expansion detection without requiring a fresh crossover
• adaptive baselines for strength, expansion, slope, and acceleration
• separate bullish and bearish scoring
• a Momentum Quality Score independent from Entry Qualification
• an Anti-Chop Score independent from momentum quality
• confirmed previous higher-timeframe EMA values
• a 70/30 final composite structure
• A+, A, B, and C grades
• visual-only histogram scaling
• equal-third multi-target internal accounting
• same-candle processing assumptions
• XAUUSD symbol verification
• separate result behavior for TP3 and non-TP3 outcomes
• detailed Data Window diagnostics
The script is not a simple combination of unrelated indicators.
Every module supports the same objective: determining whether a confirmed MACD event has enough momentum, market, and entry context to become a permanent visual setup.
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⚠️ IMPORTANT PRACTICAL NOTES
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Signal frequency depends on:
• fast, slow, and signal lengths
• selected average types
• Entry Timing
• enabled setup families
• Momentum Quality mode
• Trend Bias mode
• EMA length
• higher timeframe
• EMA slope requirement
• price-to-EMA buffer
• Anti-Chop mode
• Entry Qualification mode
• zero-line filter
• absolute-strength threshold
• symbol
• timeframe
• session
• volatility
• available history
• data provider
• active-trade state
Strict modes reduce accepted signals.
They do not guarantee better results.
Trend Bias Off allows the momentum engine to evaluate both directions without EMA permission.
Higher Timeframe EMA and Combined EMA should use a timeframe meaningfully above the chart timeframe.
XAUUSD Fixed Pips is designed around a selectable pip convention.
The default 0.01 value may not match every broker or synthetic symbol.
Momentum Confirmed produces later and potentially fewer signals than Early Trigger.
Histogram Visual Length does not alter logic.
Changing settings recalculates historical signals and trade models.
A setup that looks different after changing the chart range may be affected by available historical data and adaptive baselines.
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⚠️ LIMITATIONS AND SHORTCOMINGS
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This script has important limitations:
It does not guarantee profitable trades.
It does not predict future price movement.
It does not execute orders.
It does not place broker stops or targets.
It does not include spread.
It does not include commission.
It does not include slippage.
It does not include latency.
It does not model partial fills.
It does not model financing or swap.
It uses bar-based OHLC data.
Historical candles do not reveal exact intrabar order.
Stop First and Targets First are assumptions.
The setup score is not a win probability.
A+ is not a guaranteed outcome.
The Anti-Chop Score cannot identify every ranging condition.
Trend filters can delay or block valid reversals.
Trend Bias Off can allow countertrend signals.
ATR normalization does not make settings universal.
Fixed-pip conventions can differ between brokers.
XAUUSD symbol detection cannot verify a broker’s contract specification.
The dashboard is not TradingView Strategy Tester.
Data Window counters are not audited account performance.
The internal R model assumes three equal portions.
The internal model does not represent real position sizing.
One-active-trade logic is a visual-management rule.
Alert delivery depends on TradingView and user configuration.
Changing settings changes historical calculations.
Changing symbol, exchange, session, timeframe, or feed can change signals.
Adaptive baselines depend on available chart history.
Confirmed higher-timeframe values reduce unfinished-HTF changes but introduce delay.
Permanent signals wait for candle close and therefore do not capture the earliest intrabar moment.
For these reasons, the indicator should be used as an educational decision-support tool, not as a standalone automated strategy.
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👤 WHO THIS SCRIPT MAY BE USEFUL FOR
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This script may be useful for traders who:
• already understand basic MACD behavior
• want more context than a raw crossover
• study momentum expansion and contraction
• distinguish reversal, continuation, zero-line, and expansion events
• want transparent setup scoring
• want an anti-chop layer
• want optional chart and higher-timeframe trend context
• prefer confirmed-close signals
• want Entry, SL, and three target references
• use XAUUSD and want configurable fixed-pip distances
• want symbol-mismatch warnings
• want a compact dashboard
• want detailed alerts
• want diagnostic Data Window values
• prefer one active visual model at a time
It may be less suitable for users who:
• want guaranteed signals
• want a fully automated trading bot
• want every MACD crossover displayed
• expect a score to equal probability
• expect one setting to work on every market
• require exact tick-level execution
• want Strategy Tester results from an indicator
• want the indicator to replace personal judgment
• expect alerts to execute broker orders automatically
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🧭 BEST PRACTICE SUGGESTIONS
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For the default selective profile:
• use standard candlesticks
• begin with MACD 12 / 26 / 9
• keep Entry Timing on Early Trigger
• keep Momentum Quality on Strict
• keep Anti-Chop on Strict
• keep Entry Qualification on Strict
• keep the Zero-Line Filter on Trend Direction
• keep Absolute Strength enabled
• keep all four setup families enabled while learning
• use the dashboard to identify blocked regime conditions
• verify the selected risk model before reviewing trade levels
• use Stop First for conservative historical same-bar handling
• confirm XAUUSD VERIFIED when using Fixed Pips
• use alerts for monitoring rather than blind execution
For additional frequency:
• change Momentum Quality from Strict to Balanced
• change Anti-Chop from Strict to Balanced
• change Entry Qualification from Strict to Balanced
• disable the Zero-Line Filter
• disable Absolute Strength
• keep Trend Bias Off
• use Early Trigger
For additional directional restriction:
• use Chart EMA, Higher Timeframe EMA, or Combined EMA
• enable EMA slope confirmation
• add a Price-to-EMA ATR Buffer
• use a higher timeframe above the chart timeframe
• use Momentum Confirmed instead of Early Trigger
Always:
• wait for the setup candle to close
• review the setup type
• review the score components
• verify market structure independently
• review session and volatility
• verify the stop distance
• use personal position sizing
• test the exact symbol and timeframe
• understand the same-bar assumption
• treat all projected levels as analytical references
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🔓 PUBLICATION NOTE
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MACD Momentum Entry Engine is published as an educational momentum-analysis and visual trade-model tool.
The purpose of this description is to explain:
• how the configurable MACD core is calculated
• how average types affect the MACD and signal lines
• how setup events are classified
• how Reversal setups work
• how Continuation setups work
• how Zero-Line Reclaim setups work
• how Momentum Expansion setups work
• how Early Trigger and Momentum Confirmed differ
• how the Momentum Quality Score is constructed
• how adaptive momentum baselines work
• how the Anti-Chop Score is constructed
• how the Entry Qualification Score is constructed
• how final composite scores and grades are assigned
• how chart and confirmed higher-timeframe trend filters work
• how zero-line and absolute-strength filters work
• when permanent signals appear
• how the one-active-trade model works
• how Entry and Stop are calculated
• how TP1, TP2, and TP3 are calculated
• how same-candle ambiguity is handled
• how historical TP3 visuals are retained
• how non-TP3 visuals are cleaned
• how result labels behave
• what the dashboard displays
• how XAUUSD protection works
• what static and dynamic alerts contain
• what diagnostic values are available
• what the timing limitations are
• what the model does not simulate
• why familiar MACD concepts are organized into an original workflow
The script is designed to support structured analysis.
It does not promise profitable results.
It does not remove market risk.
It does not execute trades.
It should not be used as a blind LONG/SHORT system.
MAIN CHART SCREENSHOT PLAN
Use one clean standard candlestick chart.
Show the indicator with its default settings.
The screenshot should contain:
• complete symbol and timeframe information
• the indicator name
• visible standard price candles
• one clear LONG or SHORT label
• one active or completed Entry / TP / SL model
• the white Entry line
• green TP1, TP2, and TP3 levels
• the red SL area and solid SL line
• the MACD pane
• the white MACD line
• the red signal line
• the green/red histogram
• one neon MACD signal dot
• the bottom-right main-chart dashboard
• the Protection state
Do not include:
• other indicators
• manual drawings
• unrelated labels
• social-media links
• pricing information
• promotional claims
• account-profit screenshots
• win-rate claims
• non-standard candles
• hidden symbol or timeframe information
• excessive zoom
• decorative graphics unrelated to the script
The screenshot should demonstrate normal default behavior and make the relationship between the MACD event, main-chart signal, trade model, and dashboard easy to understand.
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🛡️ DISCLAIMER
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MACD Momentum Entry Engine is provided for educational and informational purposes only.
It does not constitute financial, investment, trading, legal, or tax advice.
No indicator can guarantee future results.
Markets are uncertain.
Momentum changes.
Volatility changes.
Liquidity changes.
Historical chart behavior does not ensure future performance.
Every user is responsible for their own:
• analysis
• validation
• risk management
• position sizing
• alert configuration
• trading decisions
• broker execution
• legal obligations
• tax obligations
The MACD line, signal line, histogram, momentum states, setup types, quality scores, regime scores, entry scores, composite scores, grades, trend states, LONG and SHORT labels, Entry references, Stop Loss levels, take-profit levels, boxes, result labels, Data Window values, dashboard states, internal counters, and alerts are visual analysis tools only.
The displayed Entry is not a guaranteed fill.
The displayed Stop Loss is not a broker order.
The displayed TP1, TP2, and TP3 levels are not guaranteed objectives.
The Momentum Quality Score is not a win probability.
The Entry Qualification Score is not a probability.
The Market Regime Score is not a guarantee that a market is trending.
The A+, A, B, and C grades are not promises of performance.
The internal trade model does not include spread, commissions, slippage, latency, order-book conditions, contract specifications, or partial fills.
Use this script as a structured MACD momentum-review and decision-support framework, not as a promise of profitability or a substitute for independent judgment. مؤشر
Crypto: Fear & Greed Index [invincible3]Crypto: Fear & Greed Index
Crypto: Fear & Greed Index is a multi-factor sentiment oscillator designed to estimate crypto market risk appetite directly inside TradingView. Instead of relying on a single RSI or momentum reading, this indicator combines several market proxies into one smoothed 0–100 sentiment index.
The model uses price momentum, volatility behavior, RSI strength, volume pressure, range position, crypto breadth, stablecoin dominance, TOTAL market trend, and BTC dominance context. These factors are auto-normalized into a composite Fear & Greed score.
The oscillator is divided into clear sentiment zones:
0–25: Extreme Fear
25–45: Fear
45–55: Neutral
55–75: Greed
75–100: Extreme Greed
The indicator also includes a market-regime layer to classify conditions as Bull / Risk-On, Bear / Risk-Off, or Mixed / Transition. This helps traders avoid interpreting fear and greed in isolation.
Key features:
• Multi-factor crypto sentiment model
• Auto-normalized Fear & Greed score
• Adaptive dark/light chart colors
• Risk-on / risk-off regime detection
• Crypto breadth using major market symbols
• Stablecoin dominance and BTC dominance context
• TOTAL and TOTAL2 market trend integration
• Fear, Neutral, and Greed oscillator zones
• Dashboard with index value, regime, bias, factor scores, and weights
• Visual Fear-to-Greed meter
• Accumulation, Risk, Trend, and Trim context markers
• Regular bullish and bearish divergence detection
• Divergence plotted on both price chart and oscillator
• Alerts for major sentiment transitions and divergence signals
How to interpret:
Extreme Fear does not automatically mean buy. In a bear regime, fear can continue and price may keep falling. Extreme Fear becomes more useful when the broader regime is improving or when bullish divergence appears.
Extreme Greed does not automatically mean sell. In a strong bull regime, greed can support continuation. However, extreme greed with fading momentum may indicate crowding risk, where trimming or reducing exposure may be considered.
The indicator works best as a sentiment and risk-context tool, not as a standalone buy/sell system. It should be combined with price structure, support and resistance, volume, trend filters, and risk management.
This indicator is designed primarily for crypto markets. It can be applied to BTC, ETH, altcoins, and other crypto symbols. BTC is not the only supported asset; BTC is used as one part of the broader market-context model.
Disclaimer:
This script is for educational and analytical purposes only. It does not provide financial advice. Always use proper risk management and confirm signals with your own trading plan.
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Entropy Oscillator [JOAT]ENTROPY OSCILLATOR
A pane oscillator that measures the Shannon entropy of recent returns — the information-theoretic measure of how uncertain (chaotic) vs how predictable (directional) the recent distribution of price moves has been. Low entropy = the market is in a directional regime; high entropy = the market is chopping. Unlike volatility, entropy does not care about how big moves are — only how concentrated their distribution is. That distinction is what makes it one of the cleanest regime-classification tools in quantitative finance.
Shannon entropy, applied to markets
For a sequence of N recent log returns, the script:
Bins the returns into B equal-width bins across the empirical range.
Computes the probability of each bin (count / N).
Computes the Shannon entropy: H = −Σ p(i) · log(p(i)) over non-zero bins.
Normalises to by dividing by log(B) — the maximum possible entropy for B bins, which corresponds to a perfectly uniform distribution.
A perfectly uniform distribution (returns evenly spread across all bins → chaotic chop) produces normalised entropy of 1.0. A perfectly concentrated distribution (all returns in one bin → directional regime) produces entropy of 0. Real markets sit in between, and the script's job is to tell you where.
Two-threshold regime classification
Normalised entropy < low threshold (default 0.30) → DIRECTIONAL regime. The distribution of returns is concentrated; momentum tools work.
Normalised entropy > high threshold (default 0.70) → CHOP regime. The distribution is spread; reversion tools work.
Between the thresholds → MIXED regime. Neither side has the edge.
The thresholds are the spec-default institutional values; tighten or loosen for your instrument.
Slope-coloured entropy line
The smoothed entropy series is plotted in the pane with a slope-driven colour gradient — bull colour when entropy is falling toward directional, bear colour when entropy is rising toward chop. At a glance you can see which way the regime is moving even before it has crossed a threshold.
Visual system (pane + chart overlay)
In the pane:
Slope-coloured entropy line.
Threshold lines at low / 0.5 / high (toggleable).
Translucent fill zones for the low and high regions.
Pane background tint by current regime (toggleable).
On the chart (force_overlay):
Bar colouring — chart bars tinted by regime (cool when directional, hot when chop, neutral when mixed). Off by default.
Overlay background — subtle bgcolor projected onto the main chart marking the current regime. Off by default.
A locked Crimson Pulse palette (electric blue directional / lime-yellow chop / muted mauve mixed on a crimson-black ground) gives the pane a distinctive structural identity.
Regime Suggestion dashboard row
Like its sister script Hurst Regime Sentinel, Entropy Oscillator exposes a Suggested JOAT Indicator row that names the best companion script for the current regime. Defaults: AlphaTrend / Kalman Quantum Drift / Doppler Velocity Shift family for Directional regimes; Z-Score Reversion / Heisenberg Uncertainty Bands / Brownian Motion Residual / Renaissance Mean Reversion for Chop; Liquidity Magnet / Schrödinger Zone Probability / Fractal Dimension Index for Mixed. Every suggestion is user-configurable — you pick from the JOAT suite which tool the dashboard recommends per regime.
Dashboard
Monospaced table positionable to any of nine corners. Surfaces:
Current normalised entropy value.
Smoothed entropy and its slope direction.
Regime classification.
Bars in current regime.
Distance from entropy to nearest threshold.
Source series + window length + bin count in use.
Suggested JOAT Indicator (toggleable).
Alerts
Three alert conditions, each independently controllable:
Cross into Low Entropy (directional regime entry).
Cross into High Entropy (chop regime entry).
Any Regime Change (any classification flip).
How to read it
Two reads, in order of conviction:
Entry into Low Entropy — the directional commitment signal. The recent distribution of returns has narrowed; the market is in a momentum regime. Pair with a directional indicator (the dashboard's suggestion row tells you which).
Entry into High Entropy — the chop confirmation signal. Returns are widely distributed; momentum tools whipsaw, reversion tools work. Pair with a reversion indicator.
The "slope of entropy" itself is the leading read — when the line is falling toward the low threshold, a directional regime is forming; when it is rising toward the high threshold, chop is building. You do not need to wait for the threshold cross if you trust the slope gradient.
Suggested settings
Defaults (window 50 returns, 10 bins, EMA smoothing 3) are tuned for 15m–4H on liquid markets. The rule of thumb is window / bins ≥ 5 so each bin has enough samples to be statistically meaningful. For lower timeframes drop window to 30 and bins to 6. For HTF raise window to 100 and bins to 12.
Originality / what's reused
Shannon entropy is textbook 1948 information theory — public domain. The implementation here — the rolling N-return histogram pipeline with configurable bins, the log(B)-normalised entropy formula, the two-threshold regime classifier with mixed centre, the slope-coloured entropy line, the chart-overlay bar-colouring projection from the pane, and the user-configurable Suggested JOAT Indicator dashboard row — is JOAT-original. No third-party code reused.
Open source
Published open-source under the default Mozilla Public License 2.0. The histogram + entropy loop, the regime classifier, the slope-colour pipeline, and the dashboard are isolated modules. Forks welcome with credit.
Limitations
Shannon entropy describes the recent distribution of returns — it does not predict direction. A directional regime tells you momentum tools should work; it does not say which way. The histogram is sensitive to bin count and window length; the rule-of-thumb window / bins ≥ 5 is the default sanity check. EMA smoothing trades some lag for substantially reduced flicker; turn smoothing to 1 to see raw entropy.
—
-made with passion by jackofalltrades
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Market Condition Oscillator [HexaTrades]Market Condition Oscillator classifies price action into three simple states: Bullish Trend, Bearish Trend, and Consolidation, and paints them as a color-coded histogram below your chart. It is built to answer one question at a glance: should I be trend-trading right now, or is the market just chopping sideways?
What it shows
🟢 Green histogram above zero → confirmed bullish trend. Taller bars = stronger trend.
🔴 Red histogram below zero → confirmed bearish trend. Deeper bars = stronger trend.
⚪ Gray histogram near zero → consolidation/range (no clear trend).
How it works
The indicator combines four classic, well-understood concepts so that no single signal can produce a false trend on its own:
1. ADX (trend strength): measures how strongly the market is trending. Below the threshold, the market is treated as consolidation regardless of direction.
2. DI+ / DI− (direction) : the Directional Movement pair decides whether strength is to the upside or downside.
3. EMA position + slope (confirmation) : price must be on the correct side of the EMA and the EMA must be sloping the right way. This filters out counter-trend spikes.
4. ATR & EMA-distance (range detection) : consolidation is flagged when volatility compresses or price hugs the EMA, even if ADX hasn't fully dropped yet.
A phase only changes after the condition holds for a configurable number of candles (Confirmation Bars). This is the key to removing the constant flip-flopping that plagues most trend indicators.
Trend rules
✏️ Bullish = ADX above threshold and DI+ > DI− and price above EMA and EMA rising — held for N bars.
✏️Bearish = ADX above threshold and DI− > DI+ and price below EMA and EMA falling — held for N bars.
✏️Consolidation = weak ADX, or compressed ATR, or price hugging the EMA — anything that is not a confirmed trend.
Features
- Bullish, bearish, and consolidation market phase detection.
- Separate oscillator panel for clean chart reading.
- Color-coded histogram.
- Optional histogram smoothing.
- Confirmation bars to reduce false flips.
- Phase label on the latest candle.
- Legend table for easy interpretation.
- Alert conditions for bullish, bearish, consolidation, and trend-flip events.
- Uses confirmed candle data only and does not use future references.
How to use it
- Trend traders: only take longs while the histogram is green, shorts while it is red. Stand aside on gray.
- Mean-reversion traders: the gray phase highlights range conditions where fade/scalp setups work best.
- Filter: combine with your existing entry system and ignore signals that fight the MCO color.
- Works on any market and any timeframe. For higher timeframes, consider raising the ADX threshold and Confirmation Bars.
Alerts
Five ready-to-use alert conditions:
Bullish Trend Started
Bearish Trend Started
Consolidation Started
Bullish → Bearish Shift
Bearish → Bullish Shift
This indicator is designed to help identify market conditions. It should be combined with price action, support and resistance, volume, and proper risk management. No indicator can guarantee profitable trades.
We would love to hear your suggestions. If you have ideas for new features, indicators, analytics, or improvements, please share your feedback. Your input helps guide future updates and improve the indicator for all traders.
This indicator is for educational and analytical purposes only. It should not be considered financial advice. Always use proper risk management and make trading decisions based on your own analysis
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