Buy and Sell Candle PressureBuy and Sell Candle Pressure takes the candle-pressure model used in my closed-source script "Predictive Volume MTF Pro" workflow and brings that Buy/Sell pressure read directly onto the price chart. Instead of viewing the Buy/Sell split only inside a table, the candles themselves can now show whether the active candle structure is leaning bullish, bearish, neutral, or moving through stronger pressure tiers.
The goal is simple:
• keep the real OHLC candle shape intact
• recolor the candle body, wick, and border from the candle-pressure engine
• make candle-by-candle pressure easier to see directly on the chart
• add local and higher-timeframe bias trails for extra context
This is not meant to replace the main Predictive Volume dashboard. It is meant to be a lightweight visual companion that helps bring the Buy/Sell pressure read into your chart space.
────────────────────────────
What the Candle Colors Represent
────────────────────────────
The candle overlay uses a candle-structure pressure estimate built from OHLC and volume behavior.
The pressure model looks at more than just whether a candle closed green or red. It considers:
• where the close sits inside the full candle range
• how much directional conviction is shown by the candle body
• how upper and lower wicks may reflect rejection, absorption, or imbalance
That pressure score is then converted into a rounded Buy/Sell split and used to color the candle overlay.
Important:
This is not true order flow, bid/ask volume, or exchange-level volume delta. It is a candle-structure pressure estimate designed to give visual context from the candle itself.
────────────────────────────
Bias Modes
────────────────────────────
The script includes two candle color modes:
Standard
A simple bull / bear / neutral color mode.
This is the cleanest option if you only want to know whether the candle-pressure read is leaning toward buy pressure, sell pressure, or balance.
Standard II
A stronger tiered color mode.
This mode expands the Buy/Sell pressure split into multiple bull and bear intensity levels. Lighter colors represent earlier pressure development, while stronger colors represent more aggressive Buy/Sell pressure readings.
────────────────────────────
Pressure Bias Trail
────────────────────────────
The Pressure Bias Trail is a rolling price-bias reference line designed to pair with the pressure candles.
In plain terms:
• candles show current-bar Buy/Sell pressure
• the Pressure Bias Trail shows the local rolling price-bias reference
The trail is calculated from the selected price source, average type, and length. Its color is based on whether the current close is above or below the trail.
This gives the chart two layers of context:
• candle pressure = what the current candle is showing
• trail position = whether price is holding above or below its rolling bias reference
────────────────────────────
HTF Pressure Bias Trail
────────────────────────────
The HTF Pressure Bias Trail applies the same trail formula on an automatically selected higher timeframe.
The HTF value is stabilized using SimpleCryptoLife’s HighTimeframeSampling library so the higher-timeframe trail behaves more smoothly on the active chart timeframe.
This can help users compare:
• current candle pressure
• local rolling price bias
• higher-timeframe rolling price bias
When price is above both the local and HTF trails, the chart can show stronger alignment. When price is trapped between them, fading through one, or repeatedly rejecting one, the trails can provide useful context around pressure transitions.
────────────────────────────
Included Visual Tools
────────────────────────────
• Buy/Sell Pressure Candle Overlay
• Standard and Standard II pressure color modes
• Chart-timeframe Pressure Bias Trail
• HTF Pressure Bias Trail
• Bar-to-Bar Close Follow Line
• Last-Bar Index Follow Line
• Last-Bar Buy/Sell + Pressure Label
The pressure label shows the rounded Buy/Sell split on the first line and the normalized pressure value on the second line. It can auto-position above bullish pressure and below bearish pressure.
────────────────────────────
How I Use It
────────────────────────────
I view this script as a chart-side pressure layer.
The main Predictive Volume + MTF script gives the broader table-based multi-timeframe volume view. This script brings one important part of that workflow — candle pressure — directly onto the candles.
Useful ways to read it:
• Standard II candles can highlight stronger Buy/Sell pressure tiers
• the local Pressure Bias Trail can show whether price is holding its short-term bias
• the HTF Pressure Bias Trail can show where higher-timeframe bias may be acting as context
• the pressure label gives a quick last-bar read without needing a full table
This is not a buy/sell signal system by itself. It is a visual context tool.
────────────────────────────
Companion Script
────────────────────────────
This script is designed to work hand in hand with:
Predictive Volume + MTF
Predictive Volume + MTF remains the larger dashboard-style workflow for multi-timeframe predictive volume, current volume, previous volume, average volume, relative volume, and Buy/Sell pressure context.
Buy and Sell Candle Pressure is the lightweight open-source candle-overlay companion.
────────────────────────────
Attribution
────────────────────────────
Special thanks to SimpleCryptoLife for the original Predictive Volume foundation and for the HighTimeframeSampling library used to stabilize the HTF Pressure Bias Trail.
This open-source script is published as a companion visualization layer for "Predictive Volume + MTF ".
Indicator
CandlePressure_UtilitiesCandlePressure_Utilities is a lightweight Pine library for converting raw OHLC candle structure into a normalized candle-pressure score, buy/sell percentage estimates, oscillator output, and compact display helpers.
The library is designed for scripts that want a reusable candle-pressure layer without rebuilding the same CLV/body/wick math every time.
It centralizes the pieces that commonly repeat across pressure-based scripts:
• close-location value / CLV calculation
• candle body dominance
• upper-vs-lower wick imbalance
• deadzone-filtered wick pressure
• normalized pressure output from -1 to +1
• buy/sell percentage conversion
• pressure oscillator conversion from -100 to +100
• alternate body/wick buy-sell allocation
• compact volume and relative-volume formatting
• table/label size and table-position helpers
• small percent and black/white text helpers
On the example chart, the pressure candles, pressure oscillator, buy/sell split, CLV/body/wick breakdown, alternate body/wick comparison, and compact table values are all materially driven by this library.
This library is intentionally focused on pure candle structure. It does not confirm trend, detect pivots, calculate RSI/DMI/ATR context, decide trade direction, or choose final signal logic for the calling script. Those layers remain script-level decisions.
➖Quick Start➖
Import the library near the top of your script in global scope, alongside any other imports, before calling its helpers.
Typical placement:
//@version=6
indicator(...) or strategy(...)
import MYNAMEISBRANDON/CandlePressure_Utilities/1 as cp
Replace /1 with the latest published version if a newer version is available.
The main helper for most scripts is candlePressureMetrics(), which returns:
• pressure
• buyPct
• sellPct
Example:
= cp.candlePressureMetrics(
open,
high,
low,
close,
volume)
string splitText = cp.fmtBuySellSplit(
buyPct,
sellPct,
volume)
float pressureOsc = cp.pressureOsc(
pressure)
The library uses standard OHLCV argument order:
open, high, low, close, volume
➖What The Library Measures➖
The default candle-pressure model uses:
• Wick Deadzone = 0.02
• CLV Weight = 0.55
• Body Weight = 0.30
• Wick Weight = 0.15
CLV measures where the close finished inside the candle range. Body contribution measures open-to-close directional dominance. Wick contribution measures lower-wick vs upper-wick imbalance.
The final pressure score is a weighted blend of those components, normalized from -1 to +1.
That pressure score can then be converted into buy/sell percentage estimates, a -100 to +100 pressure oscillator, candle-overlay colors, table values, labels, or dashboard outputs.
➖Function Reference➖
These helpers are grouped by purpose.
Most scripts will only need:
• candlePressureMetrics()
• fmtBuySellSplit()
• pressureOsc()
More advanced scripts can use the full component helpers for tables, tooltips, debug output, or custom pressure models.
➖Model + Math Helpers➖
modelDefaults()
Returns the default candle-pressure model values used by this library.
Returns:
Wick deadzone, CLV weight, body weight, wick weight
clamp(v, lo, hi)
Restricts a value between a lower and upper bound.
Parameters:
v (float): Input value
lo (float): Lower bound
hi (float): Upper bound
Returns:
Clamped value
safeDiv(numerator, denominator, fallback)
Safely divides two values and returns the fallback when division is not valid.
Parameters:
numerator (float): Numerator value
denominator (float): Denominator value
fallback (float): Value returned when division is unsafe
Returns:
numerator / denominator, or fallback when unsafe
➖Display + UI Helpers➖
fmtCompact(val, sigFigs, naText)
Formats large values into compact display text such as 1.5k, 2.4m, or 1.2b.
Parameters:
val (float): Value to format
sigFigs (simple int): Significant figures to keep
naText (simple string): Text returned when val is na
Returns:
Compact formatted string
fmtBuySellSplit(buyPct, sellPct, volumeValue)
Formats buy/sell percentages into rounded split text such as 62/38.
Parameters:
buyPct (float): Buy percentage
sellPct (float): Sell percentage
volumeValue (float): Volume value used to handle missing or no-volume bars
Returns:
Formatted buy/sell split text
contrastText(bg)
Chooses black or white text based on background brightness.
Parameters:
bg (color): Background color
Returns:
Readable contrast text color
stripLeadingZero(txt)
Removes the leading zero from decimal text.
Parameters:
txt (string): Input text
Returns:
Adjusted text, such as 0.25 -> .25 or -0.25 -> -.25
fmtRelVol(val, naText)
Formats relative volume with two decimals and strips the leading zero.
Parameters:
val (float): Relative volume value
naText (string): Text returned when val is na
Returns:
Formatted relative-volume text
pctChange(currentValue, baseValue)
Returns the percent change from a base value.
Parameters:
currentValue (float): Current or projected value
baseValue (float): Comparison baseline
Returns:
Percent change
fmtPctWhole(val, naText)
Formats a percent value as rounded whole-percent text.
Parameters:
val (float): Percent value
naText (string): Text returned when val is na
Returns:
Rounded percent string
pctInt(pct)
Rounds and clamps a percentage into 0–100 integer form.
Parameters:
pct (float): Percent value
Returns:
Integer percent from 0 to 100
pctIntVol(pct, volumeValue)
Rounds and clamps a percentage into 0–100 integer form, returning 0 on no-volume bars.
Parameters:
pct (float): Percent value
volumeValue (float): Volume value
Returns:
Integer percent from 0 to 100
tableTextSize(sizeText)
Converts user-facing table-size text into Pine table text-size enums.
Parameters:
sizeText (string): Size text. Expected values: "Tiny", "Small", "Normal", or "Large"
Returns:
Pine table text-size enum
labelSize(sizeText)
Converts user-facing label-size text into Pine label-size enums.
Parameters:
sizeText (string): Size text. Expected values: "Tiny", "Small", "Normal", "Large", or "Huge"
Returns:
Pine label-size enum
tablePos(posText)
Converts user-facing table-position text into Pine table position enums.
Parameters:
posText (string): Table position text
Returns:
Pine table position enum
bw(useBlack)
Returns black text when the condition is true, otherwise white.
Parameters:
useBlack (bool): Whether black text should be used
Returns:
Black or white text color
➖Candle Pressure Helpers➖
candlePressurePartsFull(openValue, highValue, lowValue, closeValue, wickDeadzone, weightClv, weightBody, weightWick)
Converts OHLC candle structure into the full normalized pressure component set.
Parameters:
openValue (float): Candle open
highValue (float): Candle high
lowValue (float): Candle low
closeValue (float): Candle close
wickDeadzone (float): Wick imbalance threshold below which wick contribution is forced to 0
weightClv (float): Weight assigned to the CLV component
weightBody (float): Weight assigned to the body component
weightWick (float): Weight assigned to the wick component
Returns:
CLV, body % of range, signed body term, raw wick imbalance, deadzoned wick imbalance, final pressure
Note:
wickDeadzone, weightClv, weightBody, and weightWick are optional. If omitted, the library uses its default model:
Wick Deadzone 0.02 / CLV 0.55 / Body 0.30 / Wick 0.15
candlePressureParts(openValue, highValue, lowValue, closeValue, wickDeadzone, weightClv, weightBody, weightWick)
Converts OHLC candle structure into the compact pressure component set.
Parameters:
openValue (float): Candle open
highValue (float): Candle high
lowValue (float): Candle low
closeValue (float): Candle close
wickDeadzone (float): Wick imbalance threshold below which wick contribution is forced to 0
weightClv (float): Weight assigned to the CLV component
weightBody (float): Weight assigned to the body component
weightWick (float): Weight assigned to the wick component
Returns:
CLV, body % of range, raw wick imbalance, deadzoned wick imbalance, final pressure
Note:
wickDeadzone, weightClv, weightBody, and weightWick are optional. If omitted, the library uses its default model:
Wick Deadzone 0.02 / CLV 0.55 / Body 0.30 / Wick 0.15
pressureToBuySell(pressure, volumeValue)
Converts normalized pressure into buy/sell percentages.
Parameters:
pressure (float): Candle pressure in the -1..+1 range
volumeValue (float): Volume value used to handle missing or no-volume bars
Returns:
Buy %, Sell %
pressureOsc(pressure)
Converts normalized pressure into a -100..+100 oscillator value.
Parameters:
pressure (float): Candle pressure in the -1..+1 range
Returns:
Pressure oscillator value
candlePressureMetrics(openValue, highValue, lowValue, closeValue, volumeValue, wickDeadzone, weightClv, weightBody, weightWick)
One-call convenience wrapper for scripts that need final pressure, buy %, and sell %.
Parameters:
openValue (float): Candle open
highValue (float): Candle high
lowValue (float): Candle low
closeValue (float): Candle close
volumeValue (float): Volume value used to handle missing or no-volume bars
wickDeadzone (float): Wick imbalance threshold below which wick contribution is forced to 0
weightClv (float): Weight assigned to the CLV component
weightBody (float): Weight assigned to the body component
weightWick (float): Weight assigned to the wick component
Returns:
Pressure, Buy %, Sell %
Note:
wickDeadzone, weightClv, weightBody, and weightWick are optional. If omitted, the library uses its default model:
Wick Deadzone 0.02 / CLV 0.55 / Body 0.30 / Wick 0.15
bodyWickRateBuyPct(openValue, highValue, lowValue, closeValue)
Returns an alternate buy percentage using body/wick structure only.
Parameters:
openValue (float): Candle open
highValue (float): Candle high
lowValue (float): Candle low
closeValue (float): Candle close
Returns:
Buy percentage
bodyWickRateBuySell(openValue, highValue, lowValue, closeValue, volumeValue)
Returns alternate body/wick buy and sell percentages.
Parameters:
openValue (float): Candle open
highValue (float): Candle high
lowValue (float): Candle low
closeValue (float): Candle close
volumeValue (float): Volume value used to handle missing or no-volume bars
Returns:
Buy %, Sell %
➖Important Notes➖
Candle Pressure is not order flow.
The buy/sell split produced by this library is an estimate derived from candle structure. It is not true bid/ask volume, footprint data, or exchange-level order flow.
The pressure model is intentionally pure OHLC structure:
• CLV measures where the close finished inside the candle range.
• Body contribution measures open-to-close directional dominance.
• Wick contribution measures lower-wick vs upper-wick imbalance.
• Final pressure is a weighted blend of those components.
Momentum filters such as RSI, DMI, ATR, trend state, relative volume, or multi-timeframe context should be added by the calling script when needed.
This library provides the reusable candle-pressure foundation only.
➖Release Notes➖
v1
Initial release of CandlePressure_Utilities.
This release provides a focused candle-pressure utility layer for Pine scripts that need reusable OHLC pressure calculations, buy/sell percentage estimates, pressure oscillator output, compact display formatting, and small table/label helper functions.
Included in this release:
• default candle-pressure model values
• safe math helpers
• compact number formatting
• buy/sell split formatting
• relative-volume formatting
• table/label size and table-position helpers
• percent and bias display helpers
• full candle-pressure component output
• compact candle-pressure component output
• pressure-to-buy/sell conversion
• pressure oscillator conversion
• alternate body/wick buy-sell allocation
The library is designed to stay focused on reusable candle-pressure mechanics. It does not decide trend, trade direction, signal confirmation, pivot structure, RSI/DMI filters, ATR filters, or final color logic. Calling scripts remain responsible for their own signal model and visual interpretation.
Library
Concordance Strategy [JOAT]JOAT Concordance Strategy
Introduction
JOAT Concordance Strategy is an open-source multi-factor PulseWire strategy designed to integrate the JOAT indicator stack into one execution framework.
It combines regime context, liquidity interaction, retracement logic, pressure confirmation, channel behavior, and participation filters to decide when enough independent evidence exists to justify a trade.
The problem it solves is single-factor dependency.
Trend-only systems often chase poor location.
Liquidity-only systems can trigger too early.
Oscillator-only systems can fade strong directional auctions.
Retracement-only systems can buy weak pullbacks without sponsorship.
This strategy attempts to solve that by requiring overlap.
It does not assume one tool family is sufficient on its own.
Instead, it asks whether multiple analytical dimensions agree.
That agreement is what the strategy calls concordance.
Core Concepts
1. Regime Gate
The strategy first evaluates local and higher-timeframe baseline structure, slope, volatility state, and directional control.
2. Hard and Soft Directional States
The system uses stronger and softer directional states instead of an all-or-nothing gate.
3. Liquidity and Structure Stack
Entries consider sweep behavior, break state, and displacement.
4. Retracement and Confluence Layer
Local and HTF retracement context help determine whether price is pulling back into a structurally meaningful area.
5. Pressure Confirmation
Pressure logic attempts to confirm that price action has sponsorship behind it rather than only visual momentum.
6. Sigma Channel State
Channel logic helps determine whether price is re-entering a directional path or fading from extension.
7. Participation Filter
Relative volume and delta-style participation help avoid weak sponsorship environments.
8. Risk and Exit Model
The strategy uses structure-aware ATR stops, partial exits, break-even logic, trailing behavior, and optional time exits.
Features
Integrated multi-factor entry model: regime, liquidity, retracement, pressure, channel, and participation
More active soft-entry path: allows more trades while keeping directional structure
Confirmed-bar logic: entries use confirmed state conditions
Equity-risk sizing: position size is derived from risk per trade
ATR and structure-aware stops: volatility and market structure both matter
Two-stage profit taking: TP1 and TP2 split the exit logic
Break-even and trailing logic: protects trades after expansion
Time-based exit: removes stale positions when needed
Dashboard: regime, confluence, pressure, ledger, and position state are displayed
Strategy Properties Used by Default
Initial capital: 100000
Commission type: percent
Commission value: 0.02
Pyramiding: 0
Position sizing: equity-risk based
Trade management: partial exits, break-even logic, ATR trail, optional time exit
How to Use This Strategy
Step 1: Treat it as a research framework rather than a promise of future performance.
Step 2: Evaluate it across multiple markets and timeframes because the more permissive logic should produce broader participation than the earlier strict version.
Step 3: Judge the quality of the trade distribution rather than focusing on one isolated metric.
Step 4: Respect the compromises between selectivity and trade frequency.
Step 5: Use realistic expectations and avoid reading a single backtest as proof of repeatable future outcomes.
Strategy Limitations
The strategy still depends on confirmed conditions and can therefore enter later than a discretionary trader
Trade frequency and quality vary significantly by symbol and timeframe
Default settings are general-purpose and may not be ideal for every market
Optimizing too aggressively can become curve fitting
Backtest results are hypothetical and do not guarantee future performance
Originality Statement
This strategy is original in how it requires agreement across regime, liquidity, retracement, pressure, channel, and participation modules before or during entry qualification.
The components are not merged simply to produce a busier system.
Each one addresses a different failure mode in execution.
Their overlap is the basis for participation.
Disclaimer
This strategy is provided for educational and informational purposes only.
It is not financial advice.
Backtest results are hypothetical and depend on assumptions, settings, and market selection.
They do not guarantee future returns.
Trading involves substantial risk of loss.
Always validate assumptions independently and use responsible risk management.
Best Use Cases
Researching whether cross-confirmation improves selectivity over single-factor systems
Studying how regime, liquidity, retracement, and participation interact inside one strategy
Comparing trade frequency across markets and timeframes after the softer entry expansion
Testing realistic risk-management assumptions inside a multi-layer strategy
Interpretation Notes
This strategy should be evaluated as a process, not as a single summary metric.
Trade count matters.
Distribution of trades matters.
How the system behaves across different instruments matters.
The softer entry path was added to prevent the strategy from becoming too inactive, especially on higher timeframes.
That makes the strategy more usable for broad testing while still preserving directional structure.
Publication Notes
This strategy should be published with a clean chart and realistic default Properties.
If showing results, the description should stay grounded and avoid implying that one test run guarantees future outcomes.
The chart image should make the strategy entries and exits easy to understand.
-Made with passion by jackofalltrades
Evaluation Framework
1. Start by checking whether the strategy is active on the instrument and timeframe you care about.
2. Compare trade count before and after threshold changes.
3. Review whether trade quality remains acceptable as activity increases.
4. Study the interaction between regime, liquidity, pressure, and participation at entry.
5. Judge the strategy by distribution and robustness rather than one isolated metric.
Why This Matters
The strategy exists to test whether agreement across multiple independent analytical layers can improve execution quality.
That research question is more important than any one headline metric.
Open-Source Notes
This strategy is published open source so users can inspect how the modules overlap and how the risk model is applied.
Who This Is For
This strategy is for users who want to study how multiple context layers can be combined inside one execution model.
It is not intended for anyone looking for a one-click guarantee.
Summary
JOAT Concordance Strategy is best understood as a structured research tool.
It exists to test whether regime, liquidity, retracement, pressure, channel, and participation agreement can improve decision quality.
Additional Notes
This strategy should be judged with realistic commission and execution assumptions.
It should also be evaluated on enough trades to produce a meaningful sample.
The defaults are intended to stay grounded rather than theatrical.
Strategy
Compression Shift Index [JOAT]Compression Shift Index
Introduction
Compression Shift Index is an open-source Pine Script v6 indicator designed to detect transitions between compression and displacement. It measures whether price is storing energy in a tight state, whether that energy is beginning to release directionally, and whether the release is supported by enough pressure and travel efficiency to matter.
The problem this indicator solves is timing. Traders often recognize trend after the move is already mature, or they chase weak momentum bursts that never become true displacement. Compression Shift Index is built to distinguish between quiet compression, directional pressure, and confirmed shift conditions so the user can see whether price is merely active or whether a real state change is underway.
The script lives in its own pane, but it also projects tactical shift ranges onto the main chart. That means it can work as both a state engine and a visual execution aid. The pane handles classification and scoring. The overlay range preserves the high, low, and midpoint of the most recent active shift so price can be read against the trigger zone directly on the chart.
Rather than relying on one oscillator reading, the script blends moving-average spread, RSI of momentum, ATR expansion, path efficiency, and compression mathematics. The result is not a conventional trend tool. It is a state-transition tool built to show when stored pressure is becoming directional opportunity.
Core Concepts
1. Compression Score
Compression is measured by comparing the recent price range to ATR-normalized movement over a configurable window. As the range contracts relative to expected volatility, the compression score rises.
float compressionRatio = safeDiv(ta.highest(high, compressionLength) - ta.lowest(low, compressionLength), ta.atr(compressionLength) * compressionLength) * 100.0
float compressionScore = clamp(100.0 - compressionRatio, 0, 100)
This means the script is not labeling compression by candle size alone. It evaluates the market relative to its own volatility conditions.
2. Displacement Score
Displacement is measured through moving-average spread magnitude, RSI-based pressure away from neutrality, and fast-versus-slow ATR expansion. A high displacement score means price is no longer just compressed. It is pushing with enough directional force to deserve attention.
3. Pressure Confirmation
Directional pressure requires more than a large reading. Bullish pressure needs positive spread and price acceptance above the fast EMA. Bearish pressure requires the opposite. This creates a separation between raw movement and directional pressure that is actually aligned with the current path of price.
4. Shift Range Memory
When a confirmed bull or bear shift occurs, the script stores the initiating bar’s high and low, then extends that range for a configurable number of bars. As new bars arrive, the active range updates its upper and lower boundaries.
This transforms the shift from a momentary signal into a tactical map. The trader can judge whether price is holding inside the shift range, stretching away from it, or failing back through the structure.
5. Quality And Travel Efficiency
Not every shift is equal. The script measures path efficiency by comparing net travel to the cumulative path traveled across the efficiency window. That helps distinguish efficient directional release from noisy back-and-fill movement.
When displacement, pressure, and efficiency all align, the quality score rises. This is especially useful for separating impulsive continuation from unstable burst behavior.
Features
Compression and displacement state engine: Differentiates quiet conditions from directional release
Bull and bear shift detection: Confirms directional shifts only after displacement and pressure criteria align
Tactical overlay range: Projects the active shift high, low, and midpoint onto the main chart
Ribbon bias display: Adds a visual ribbon showing directional pressure inside the pane
Travel efficiency scoring: Measures whether displacement is clean or noisy
State backdrop and candle tinting: Tints both pane and chart context according to the current state
Detailed dashboard: Publishes compression, displacement, ATR ratio, heat, range, stretch, velocity, efficiency, quality, and persistence
Confirmed-bar alerts: Includes compression, bull shift, bear shift, pressure, release, fade, and quality-state alerts
Data-window exports: Makes many internal scores accessible without adding extra plots to the pane
Range-aging logic: Tracks how long the active shift has been in effect
Visual Elements
Pane state curves: The net shift, compression, and displacement lines provide a layered read of current state
Ribbon bias fill: The pane ribbon helps show whether directional pressure is leaning bullish or bearish before full shift confirmation
Overlay shift range: The active high, low, and midpoint are projected onto the price chart for tactical context
Backdrop and candle tinting: The indicator colors both pane and chart state to make transitions easier to identify at a glance
Dashboard diagnostics: The top-right panel summarizes metrics that would otherwise require several separate indicators
Best Practices
Wait for displacement to dominate compression before assuming a move has truly released
Use high-quality shifts as higher-priority context than low-efficiency state changes
Read the active shift range as a tactical map, not as a guarantee that price will respect every boundary
If pressure improves but displacement remains weak, treat the move as developing rather than already established
Use the state engine to filter your existing entries instead of trying to trade every alert in isolation
Input Parameters
Signal Engine:
Fast MA Length: Sets the fast trend reference
Slow MA Length: Sets the slow trend reference
Compression Window: Defines the state lookback for range contraction
RSI Length: Sets the smoothing period for momentum pressure evaluation
Momentum Length: Defines the raw momentum lookback
Thresholds:
Compression Threshold: Determines how compressed the market must be to count as compressed
Displacement Threshold: Determines how forceful the move must be to count as a shift
Shift Hold Bars: Controls how long the active shift range remains alive
Efficiency Length: Sets the path-efficiency lookback
Show Trigger Range: Toggles the projected overlay range on the chart
Visual Language:
Bull and bear color pairs
Neutral color and panel background
Show Dashboard toggle
Show State Backdrop toggle
Show State Ribbon toggle
How to Use This Indicator
Step 1: Identify The Current State
Start with the dashboard and pane. If compression is dominant, the market is still storing energy. If bull or bear pressure is present, directional force is building. If a bull or bear shift is confirmed, the state transition has already occurred.
Step 2: Compare Compression To Displacement
The most useful read is not the absolute number alone, but the relationship between compression and displacement. When compression is high and displacement is still low, the market is coiled. When displacement overtakes compression, the release phase is gaining control.
Step 3: Use The Active Shift Range
Once a shift is active, watch the projected upper, lower, and midpoint lines on the main chart. These define the tactical zone created by the displacement event. Price behavior around that range often provides better context than the signal bar alone.
Step 4: Check Quality And Efficiency
A high-quality state means the release is not only directional but also relatively efficient. If quality is weak, treat the shift more cautiously because the move may be noisy or unstable.
Step 5: Use It As A State Filter
Compression Shift Index is most effective as a state filter for your own process. It can help you avoid forcing breakout logic during compression and avoid fading a move that is still in active displacement.
Indicator Limitations
Compression does not guarantee that a strong displacement event will follow immediately
A shift can fail quickly if the broader market context does not support follow-through
Travel efficiency can lag during early release phases because noisy price action is still being absorbed into the lookback
The active shift range is a tactical reference zone, not an automatic support or resistance guarantee
Originality Statement
Compression Shift Index is original in the way it turns compression, displacement, pressure, efficiency, and range memory into one unified transition model. It is not simply an oscillator blend for cosmetic effect:
It frames compression and release as a state transition rather than a single threshold cross
It preserves the originating shift range on the main chart, which links pane analysis to execution context
It includes efficiency and velocity metrics that help separate orderly displacement from noisy expansion
It uses a dashboard that summarizes the full state stack rather than forcing the user to infer everything from one line
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Compression and displacement readings describe market state, not guaranteed future direction. Markets can remain compressed longer than expected or reverse immediately after a shift appears. Always use independent judgment and proper risk management.
-Made with passion by jackofalltrades
Indicator
Indicator
Delta Pressure Ledger [JOAT]Delta Pressure Ledger
Introduction
Delta Pressure Ledger is an open-source lower-pane pressure model built entirely from chart-derived proxies. It combines anchored VWAP context, candle pressure, volume impulse, crowding stretch, volatility pressure, and settlement skew into a normalized composite ledger that classifies whether pressure is balanced, directional, crowded, or stressed.
The problem this script solves is hidden market pressure. Many traders rely on unavailable data feeds or vendor-only metrics to estimate crowding or liquidation risk. Delta Pressure Ledger uses only chart-accessible inputs and standardizes them through z-score normalization so pressure states can still be read in a consistent way across instruments.
Core Concepts
1. Chart-Derived Pressure Proxy
The script estimates directional pressure from candle settlement, intrabar range occupation, and volume impulse rather than external order flow feeds.
2. Anchored VWAP Context
Pressure is interpreted relative to anchored value, allowing the user to distinguish directional expansion from overstretched crowding.
3. Z-Score Normalization
All sub-engines are normalized over a configurable lookback, which makes the composite reading more portable across symbols and timeframes.
4. Crowding and Stress Logic
The script tracks when price and derived sentiment become stretched enough to imply elevated liquidation or unwind risk.
5. Composite Verdict
Pressure, crowding, volatility, and skew are merged into one verdict state so the user can quickly determine whether the market is orderly, imbalanced, or stressed.
Features
Anchored VWAP context: Session, weekly, or monthly value anchor
Pressure engine: Candle and volume-derived directional pressure model
Crowding engine: Stretch and behavioral excess detection
Volatility and skew layers: Pressure quality and instability are separated from raw direction
Normalized composite score: All sub-engines standardized into one comparable ledger
Risk meter: Liquidation-style stress estimate derived from crowding and instability
Confirmed-bar transitions: State changes and alerts are held to confirmed bars
Top-right dashboard: Regime, pressure, crowding, volatility, risk, composite score, and last confirmed flip
How to Use This Indicator
Step 1: Read the composite verdict
The verdict gives the fastest summary of whether the market is balanced, directionally pressured, or entering a crowded stress state.
Step 2: Separate pressure from crowding
A bullish pressure reading with low crowding is different from a bullish pressure reading with extreme crowding and high risk.
Step 3: Respect risk transitions
When the risk meter moves into elevated territory, directional continuation setups deserve more caution.
Indicator Limitations
This script uses chart-derived proxies rather than exchange-level liquidation or true open-interest feeds
Normalized readings can still behave differently across asset classes with unusual volume structure
Stress conditions can remain elevated for extended periods during strong trends
The script classifies pressure and risk context; it does not execute trades by itself
Originality Statement
Delta Pressure Ledger is original in the way it builds a portable, chart-derived pressure and crowding framework without depending on unavailable external feeds, while still organizing the result into a normalized composite and risk ledger.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Derived pressure and crowding models can be wrong, especially during atypical market events. Use proper risk management and independent judgment.
Indicator
RSI + Pressure Trend ProRSI + Pressure Trend Pro is an RSI-based momentum and pressure framework designed to make RSI easier to read as a complete system instead of a single oscillator line. At its core, the script combines classic RSI behavior, synthetic RSI candles, higher-timeframe context, volume-weighted RSI, pressure normalization, crossover layers, and a chart-side pressure trail into one connected workflow. My goal is to create a script that organizes RSI strength, weakness, compression, expansion, and price confirmation into a cleaner visual structure.
Most RSI tools focus on the 70 / 30 zones or simple moving-average crosses. Those are useful, but RSI often becomes more meaningful when it is read through several relationships at once:
➡️ Where is RSI 14 relative to its recent range?
➡️ Is fast RSI confirming or separating from the slower RSI structure?
➡️ Is RSI pressing into an upper or lower pressure zone?
➡️ Is volume-weighted RSI supporting the move?
➡️ Is the current RSI pressure regime being confirmed by price?
That price-confirmation piece is one of the main ideas behind this script.
The RSI Pressure Oscillator is built from several RSI-derived components that are normalized into a 0–100 pressure scale. The composite blends raw RSI level, recent RSI range position, RSI trend spread, short-term velocity, RSI band position, and volume-weighted RSI participation. The result is a pressure line that behaves like an RSI-style oscillator, but with more context than raw RSI alone.
The script then takes that pressure read and connects it back to the main chart through the RSI Pressure Trail. This trail is built from a volatility-adjusted price structure using ATR and a smoothed price basis. In other words, the oscillator pane is not isolated from price. The pressure regime must also be checked against where price is trading relative to the active trail.
That is why the pressure colors are price-confirmed. When RSI pressure is bullish and price is holding the bullish trail, the pressure color can stay active. When RSI pressure is bearish and price is respecting the bearish trail, the bearish pressure color can stay active. When pressure is mixed, neutral, or not being confirmed cleanly by price, the system can fall back into a more neutral read. That makes the script less about “RSI crossed a level” and more about asking: Is price confirming the current RSI pressure regime?
This script includes several visual layers built around that same idea:
🔹The synthetic RSI candles are included to make RSI movement easier to read bar by bar. Instead of viewing RSI only as a line, the script converts RSI 14 into candle-style movement inside the oscillator pane. The previous RSI value becomes the synthetic open, the current RSI value becomes the synthetic close, and the candle body shows the directional movement between those two points. This helps show when RSI is expanding, contracting, stalling, or changing direction more visually than a line alone.
🔹The RSI Candle Pressure Envelope adds another layer around those synthetic RSI candles. When RSI presses into the selected upper or lower trigger zones, the envelope fill turns on. This helps highlight moments where RSI is not just moving, but pressing into a stronger upper or lower momentum area.
🔹The lookback high/low boxes serve a different purpose. They highlight the recent RSI high zone and low zone inside the selected lookback window. This gives the oscillator pane a simple structure reference so traders can quickly see whether current RSI is pushing back into a recent high-pressure area, falling into a recent low-pressure area, or moving somewhere in between.
🔹The crossover layers are there to help separate short-term movement from broader RSI structure.
🔹The RSI Pressure Composite crossover layer is calculated from the pressure oscillator itself, not directly from raw RSI. This can help show when the pressure engine is beginning to rotate.
🔹The adaptive RSI moving-average layer is based on RSI 14 and can automatically adjust its fast/slow lengths depending on the chart timeframe. This gives the script a more flexible trend-context layer across different chart speeds.
🔹The standalone RSI 20/50 crossover layer gives a slower RSI trend reference. By default, it works like a broader momentum structure guide using RSI SMA 20 and RSI SMA 50.
A practical way to read the script:
➡️ When RSI 14, RSI 5, and the pressure oscillator are rising together, short-term and core RSI momentum are generally aligned.
➡️ When the pressure oscillator is above the bullish regime zone and price is holding the chart-side pressure trail, RSI pressure is being confirmed by price.
➡️ When the pressure oscillator is below the bearish regime zone and price is respecting the bearish trail, downside RSI pressure is being confirmed by price.
➡️ When the pressure oscillator is in the middle zone, or when price is not confirming the pressure trail cleanly, the market may be transitioning, cooling, or moving through a less directional phase.
➡️ When the RSI 20/50 layer agrees with the faster pressure behavior, the broader RSI structure may be supporting the active move.
➡️ When the faster layers disagree with the slower layers, that often points to a transition area rather than a clean trend read.
The chart-side tools are included so the oscillator pane and price pane stay visually connected. The optional RSI-colored candles keep normal OHLC price structure, but color the body, wick, and border using the RSI color engine. The RSI Pressure Trail projects the active RSI pressure regime back onto price as a support/resistance-style guide.
That combination gives the script two views of the same idea: the pane shows RSI structure and pressure behavior. The chart shows whether price is confirming that pressure behavior.
Bar Replay is especially useful with this script. Watching the system build one candle at a time makes it easier to see when RSI begins to expand, when synthetic RSI candles press into an envelope zone, when the pressure oscillator changes regime, when the crossover layers rotate, and how the chart-side pressure trail responds as price confirms or rejects the oscillator-side read.
This is not meant to be a standalone buy/sell signal machine. RSI works best when it is read with context. Structure, support and resistance, volume, trend, higher-timeframe levels, volatility, and broader market conditions still matter.
The value of RSI + Pressure Trend is that it gives RSI a more organized pressure framework. Instead of treating RSI as one line with two fixed levels, the script builds a connected view of RSI movement, RSI structure, pressure expansion, crossover behavior, volume participation, and price confirmation.
The goal is to help traders read when RSI pressure is building, when it is fading, when price is confirming it, and when the oscillator and chart may be starting to disagree.
The following charts show the different components of the script:
➖Optional Companion Workflow➖
RSI + Pressure Trend focuses on momentum pressure, regime shifts, and price-confirmed RSI behavior. When used with RSI Pivot Structure + Divergence Hunter Pro, traders can compare where RSI pressure is building against where RSI pivots, divergence, and structure are forming.
➖RSI Views Across Price + Oscillator Pane➖
This view shows how the script connects RSI behavior across the chart and oscillator pane.
Price candles keep real OHLC structure while using the RSI 14 color engine. Below, RSI 5 and RSI 14 show fast-vs-broader momentum alignment, while synthetic RSI 14 candles convert the RSI line into candle-style movement for a cleaner bar-by-bar read.
➖Adaptive RSI vs SMA 20/50 Structure➖
This view compares two RSI 14 structure layers. The adaptive EMA crossover responds faster to RSI momentum shifts, while the SMA 20/50 layer gives a slower baseline for broader RSI structure. Used together, they help separate short-term RSI improvement from larger momentum confirmation. When the faster adaptive layer turns before the SMA 20/50 structure, it can highlight early transition behavior before the broader RSI trend fully responds.
➖RSI 14 + HTF RSI + Volume-Weighted RSI➖
This view layers three RSI references for broader context. RSI 14 shows the active momentum path, HTF RSI shows the higher-timeframe backdrop, and Volume-Weighted RSI shows whether RSI movement is being supported by stronger volume participation.
➖RSI Pressure + Adaptive MAs➖
This view shows the RSI Pressure Oscillator with its adaptive pressure moving averages.
On the 15-minute timeframe, Auto mode uses the EMA 13 / EMA 34 pressure pair. The pressure line shows the active RSI pressure condition, while the MA fill smooths that movement into broader structure. When the faster pressure MA leads above the slower MA, pressure is improving. When it remains below, pressure is still leaning weaker.
➖RSI Lookback High/Low Zones➖
These boxes mark the recent RSI 14 high and low zones inside the selected lookback window.
The upper zone highlights where RSI recently reached stronger pressure. The lower zone highlights where RSI recently reached weaker pressure.
Together, they help frame RSI structure visually:
upper zone = recent RSI resistance / pressure high
lower zone = recent RSI support / pressure low
➖RSI Pressure Envelopes➖
The pressure envelopes highlight when RSI 14 presses into stronger upper or lower momentum zones. When RSI pushes into the upper trigger area, the upper envelope appears. When RSI falls into the lower trigger area, the lower envelope appears. This helps make RSI extremes easier to spot without relying only on the 70 / 30 guide levels.
Indicator
Regime Pressure Trail [ArisCodes]REGIME PRESSURE TRAIL
This script is a regime-arbitrated trading framework, not a stack of two indicators. The core idea is that no single signal logic performs well across all market conditions — trend-following systems whipsaw in low volatility chop, while pressure-reading systems lag in clean directional trends. They have opposite failure modes, which means they have opposite ideal conditions. This script formalizes that observation by using a volatility regime classifier as a meta-controller that decides which of two child engines has authority to fire on any given bar.
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WHY ONE ENGINE IS NOT ENOUGH
Volatility is non-stationary. Markets cycle through quiet accumulation phases, expansive trending phases, and chaotic news-driven phases. A signal logic that performs well in one phase often produces its worst trades in another. Most retail attempts to solve this stack two indicators and let them fire independently — which is what this script explicitly avoids. Stacking creates conflicting signals and double-counts confluence. Arbitration solves it by making the regime itself the gatekeeper.
The trail-following child uses an ATR-based Chandelier exit with a self-adjusting multiplier (tight in quiet markets, wide in volatile markets) gated by a composite trend-strength score combining RSI slope acceleration, volume surge ratio, and ATR expansion. This logic targets clean directional moves with structural follow-through.
The pressure child uses cumulative delta volume crossing a moving average of itself, gated by a composite pressure score combining delta dominance, volume relative to its moving average, and candle body conviction. This logic targets institutional accumulation and distribution events that are often invisible to price-only signals.
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HOW THE COMPONENTS INTEGRATE
The volatility regime classifier computes the ratio of current ATR to its 50-bar simple moving average. This ratio places the market into one of three bins: LOW (ratio below 0.8 default), MEDIUM (between 0.8 and 1.4), or HIGH (above 1.4). The thresholds are user-tunable.
The arming logic translates regime to engine authority through three mutually exclusive modes. In Regime Arms mode, the LOW regime arms only the pressure engine because trend signals in contracting volatility are typically false flips. The HIGH regime arms only the trail engine because pressure crossovers in expanding volatility are typically lagging noise. The MEDIUM regime arms both, which lets either engine fire on the merits of its own scoring gate. In Confluence Required mode, both engines must produce the same direction signal on the same bar — a high-conviction filter that produces fewer trades. In Either Fires mode, the regime gating is disabled and the two engines compete on a first-come-first-served basis, which serves as a baseline for comparison.
When a signal fires, the entry routing is also engine-aware. Trail-engine entries use ATR-multiplier targets and inherit the trail line as a dynamic stop, with a force-exit if the trail flips against the position. Pressure-engine entries use fixed percentage targets and tighter stops because the edge they capture is shorter-duration. Confluence entries take whichever engine has the higher score at fire-time. This per-engine trade management is a deliberate design choice — it prevents the tighter-stop pressure logic from degrading trail-engine wins, and prevents the wider trail logic from giving back pressure-engine quick scalps.
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WHAT IS ORIGINAL HERE
The novel contribution is the arbitration layer, not the underlying engines. Both engines individually use components that are public knowledge — ATR Chandelier exits and cumulative volume delta have decades of literature behind them. What this script adds is the explicit codification of a meta-decision: which logic is allowed to operate in which regime, and why.
Specifically, the lines that prove this is arbitration rather than a stack are visible in source: a single boolean evaluates whether each engine's regime is currently armed, and signal logic is gated by those booleans before any other condition is checked. Two engines cannot fire on the same bar in Regime Arms mode by design. The script also tags each fired trade with its source engine, which allows post-hoc attribution analysis to verify the arbitration logic empirically.
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HOW TO USE
Begin with the default HYBRID mode and Regime Arms hybrid logic. Watch the dashboard for several sessions before changing inputs. The ARMED cell shows which engine has authority right now. The REGIME cell shows why. The TREND SCORE and PRESSURE SCORE cells show whether the armed engine has met its scoring gate.
When a signal fires, the entry label identifies which engine fired it (TRAIL, PRESSURE, or CONFLUENCE). This is critical for understanding the script. Over time, traders should observe that trail entries cluster in higher volatility regimes and pressure entries cluster in lower volatility regimes — that pattern confirms the arbitration is working as designed.
Adjust regime thresholds first if you find the script is firing too many trail signals (raise lowThresh to push more bars into LOW regime where trail is disarmed) or too few (lower lowThresh). Adjust score minimums second to filter quality. Adjust target percentages last and only after you have a clear picture of which engine is doing most of the work on your instrument and timeframe.
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INPUTS OVERVIEW
ENGINE SELECTION
Master mode (TRAIL ONLY, PRESSURE ONLY, HYBRID) and the hybrid arming logic (Regime Arms, Confluence Required, Either Fires).
TRAIL ENGINE
ATR length and source, regime classifier lookback, three vol-regime multipliers (LOW, MED, HIGH), two regime thresholds, minimum trend-strength score, RSI slope length, volume MA length.
PRESSURE ENGINE
Delta MA length, volume MA length, minimum pressure score, RSI length, RSI overbought and oversold filters.
TRADE MANAGEMENT
Independent TP and SL percentages per engine, ATR multiplier for trail-engine targets, max bars in trade, cooldown bars, trail-flip force-exit toggle.
VISUALS
Trail line plot, regime background tint, pressure-based candle coloring, gradient fill between price and VWAP, trade boxes, dashboard.
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DASHBOARD
The dashboard is the diagnostic display for the entire arbitration system. It sits at the bottom-center of the chart and updates only on the last bar to keep the chart clean. Reading it correctly is essential to understanding how the script makes decisions in real time.
The dashboard is organized as a 5-row table with 9 columns. Each row tells a different part of the story.
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ROW 1 — PRIMARY STATE
MODE — Shows your selected master engine mode: TRAIL ONLY, PRESSURE ONLY, or HYBRID. Color-coded — purple for HYBRID, teal for trail-only, gold for pressure-only.
ARMED — The most important cell on the dashboard. Tells you which engine is currently allowed to fire signals. Shows TRAIL, PRESSURE, BOTH, or NONE. In HYBRID mode this changes as volatility regime shifts.
REGIME — Current volatility regime: LOW ▼ (ratio under 0.8), MED ● (0.8 to 1.4), or HIGH ▲ (above 1.4). Includes the current ATR multiplier in use (1.5x, 2.5x, or 3.5x by default).
TREND SCORE — Composite score for the trail engine, displayed as an 8-segment gauge plus the numeric value 0-100. Combines RSI slope acceleration (40%), volume surge ratio (35%), and ATR expansion (25%). Below the minimum threshold the trail engine cannot fire.
PRESSURE — Composite score for the pressure engine, also 8-segment gauge plus 0-100 number. Combines delta dominance (40%), volume relative to MA (35%), and candle body conviction (25%). Below the minimum threshold the pressure engine cannot fire.
TRAIL — Current trail direction: BULL ▲ or BEAR ▼. This is the underlying ATR Chandelier state, independent of whether the trail engine is armed.
DELTA — Current bar's delta volume direction and percentage. BUY +X% means buyers dominated this bar, SELL -X% means sellers did.
POSITION — Current trade state: FLAT, LONG ●, or SHORT ●. When in a trade, also shows which engine fired it: TRAIL, PRESS, or BOTH.
STATUS — Cooldown / readiness state. READY means ready to fire, IN TRADE means active position, CD #b means waiting cooldown bars.
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ROW 2 — DETAIL VALUES
Mirrors row 1 with current values: actual mode name, armed engine name, regime label with multiplier, score gauges with numbers, trail direction with current trail price, delta percentage, position with engine tag, status text.
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ROW 3 — CONTEXT
HYBRID MODE — Which arming logic is active: Regime Arms / Confluence Required / Either Fires.
ARMING DETAIL — Shows current armed status of both engines as ON/OFF (Trail ON Press OFF means only trail engine has authority right now).
ATR RATIO — Numeric ratio of current ATR to its 50-bar moving average. The number that drives regime classification.
SCORE RATING — Trend score quality bucket: WEAK ░ / MEDIUM ◉ / STRONG ✦. With the current minimum threshold for reference.
PRESSURE RATING — Pressure state bucket: STRONG BULL ✦ / BULL ▲ / NEUTRAL ◉ / BEAR ▼ / STRONG BEAR ✦.
TRAIL PRICE — Current numeric trail level (the actual chart price).
RSI — Pressure engine's RSI value. Color-coded: bear if overbought, bull if oversold, neutral otherwise.
ENGINE USED — When in a trade, confirms which engine fired it. Useful for post-trade attribution.
COOLDOWN STATUS — Shows cooldown bars and max bars in trade for reference.
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ROW 4 — TRADE MANAGEMENT
POSITION — Repeats current direction for clarity in the trade row.
ENTRY — Exact entry price when in a trade.
TP — Take profit price (matches the chart line).
SL — Stop loss price (matches the chart line).
BARS — Bars elapsed since entry, plus max bars allowed.
ATR — Current ATR value in price units.
VWAP — Current session VWAP price (the gradient fill anchor).
REGIME — Active regime + current ATR multiplier (redundant for at-a-glance trade context).
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LEGEND OF SYMBOLS USED IN DASHBOARD
▲ ▼ — direction indicators (up/down, bull/bear)
● — active trade or filled state
◉ — medium/armed state
✦ — strong/active state
░ — weak state or empty gauge segment
█ — filled gauge segment
◈ — section divider in cell labels
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HOW TO READ THE DASHBOARD AT A GLANCE
1. Look at ARMED first — this tells you which engine has authority right now.
2. Look at REGIME — this tells you why the armed engine has authority.
3. Look at TREND SCORE and PRESSURE SCORE — these tell you whether the armed engine has met its scoring gate to fire.
4. Look at POSITION and STATUS — these tell you whether you are in a trade and which engine fired it.
If these four cells all line up cleanly, you understand the script's current state in under three seconds.
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ENTRY LABELS — READING A FIRED SIGNAL
When a signal fires, an information-dense label appears at the entry bar showing every parameter of the trade in two lines. Reading the label is how you know what just happened without checking the dashboard.
LINE 1 — THE HEADER
▼ SELL PRESSURE 1:0.4 RR
▼ or ▲ — direction arrow (down for short, up for long)
SELL/BUY — trade direction in plain text
PRESSURE — the engine that fired this signal (TRAIL, PRESSURE, or CONFLUENCE)
1:X.X RR — risk-to-reward ratio at entry, calculated as |TP - entry| / |SL - entry|
LINE 2 — THE PRICE LEVELS
TP 27328.50 IN 27383.25 SL 27520.25
TP — the take profit price (matches the chart's TP line)
IN — the entry fill price (bar's close at signal fire)
SL — the stop loss price (matches the chart's SL line)
The label is color-coded by direction. Bear red background with bright bear text for SHORT entries. Bull green background with bright bull text for LONG entries. The same label format is used by every signal regardless of which engine fired it — only the engine tag in the header changes. That consistency means you can read any entry on the chart and immediately understand who fired, why, and at what risk.
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WHAT ELSE IS VISIBLE IN THE FRAME
The cyan stair-step line with node markers is the ATR trail line (Engine 1). Even when a trade is fired by the Pressure engine, the trail line remains plotted at all times so traders can see what the OTHER engine is doing in parallel. This is intentional — it lets you visually verify whether the two engines agree or disagree at any moment, and it shows the trail's chandelier behavior independently of whether it's currently armed.
The teal gradient fill between price and VWAP shows the cumulative pressure bias on the chart. A thicker fill above price means bull pressure is dominant. A thicker fill below price means bear pressure is dominant. The fill's intensity fades as conviction weakens.
Candles are tinted by their per-bar pressure score, with five intensity states ranging from STRONG BULL (bright teal) through BULL, NEUTRAL, BEAR, to STRONG BEAR (saturated red). This per-candle coloring lets you see institutional pressure at the bar level even when no signal has fired.
The bear or bull vertical line at the entry bar marks exactly when the signal fired. Combined with the small SELL or BUY pin under or above the candle, it creates a visual anchor point for the trade that's visible at any zoom level.
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NON-REPAINTING
All signals confirm on bar close. Volatility regime classification, both scoring engines, arming decisions, and entry/exit logic evaluate on confirmed bars only. Trade labels and state changes only fire after the bar has fully closed.
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DISCLAIMER
This script is for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always use proper risk management and do your own research before making any trading decisions.
Indicator
Pre-Breakout Pressure Planner [AGPro Series]Pre-Breakout Pressure Planner
🧠 Core Idea
Is pressure building before a breakout, or is the setup still premature?
📌 Overview / What it does
Pre-Breakout Pressure Planner is a chart-first breakout readiness tool designed to evaluate pressure before price leaves a range.
The script maps an active pressure box, upper and lower trigger corridors, directional buildup side, volume support, fakeout-risk context, invalidation reference, and target-room projection. These factors are converted into a 0-100 Pressure Score with a clear next-action state such as Bull Pressure, Bear Pressure, Coil Watch, Premature, Fakeout Risk, or Trigger Review.
It does not predict breakouts, automate entries, or confirm post-breakout acceptance. It is built to help traders organize the pre-breakout decision process before reacting to price movement.
🎯 Purpose & Design Philosophy
This script was built for traders who want to evaluate whether a breakout setup is becoming valid before the breakout actually happens.
Many traders notice a range only after price has already moved. This tool focuses on the earlier planning phase: Is the range compressed? Is one side applying pressure? Is volume supportive? Is the candle behavior constructive? Is there fakeout risk near the boundary?
The design supports a planning mindset. It helps the user read pressure quality, risk location, target room, and next-action context without turning the chart into a generic signal board.
⚡ Why This Script Is Different
Most breakout tools focus on the moment price breaks a level.
This script does NOT focus on post-breakout confirmation, measured move corridors, generic support/resistance boxes, or simple buy/sell labels.
Instead, it evaluates the setup before the break. The core question is whether pressure is building in a structured way or whether the range is still too early, too wide, too weak, or vulnerable to a fakeout.
This keeps the concept separate from consolidation breakout tools. The purpose is not to grade a completed breakout. The purpose is to organize the pre-breakout readiness window.
⚙️ Methodology
1. Context Detection
The script builds a live pressure range from prior bars and evaluates whether price remains inside the active box, probes a boundary, or enters a trigger corridor.
2. Reference Mapping
It maps the pressure box, upper trigger corridor, lower trigger corridor, active-side invalidation reference, and projected target-room reference.
3. Reaction Evaluation
The model scores range compression, higher-lows or lower-highs buildup, relative volume behavior, candle pressure, and close location inside the box.
4. Visual Output
The script displays the active pressure box, centered status label, trigger corridors, optional risk/target guides, compact event labels, alerts, and a premium AGPro panel.
🗺️ How to Read the Chart
Pressure Box = the active range where pre-breakout pressure is being evaluated.
Trigger Corridors = narrow upper and lower zones where breakout review becomes relevant.
Risk / Target Guides = active-side invalidation and target-room references used for planning context.
Labels = compact state markers showing pressure, watch, fakeout risk, or trigger-review context.
Colors = teal supports bullish buildup, pink supports bearish buildup, amber marks neutral or developing pressure, and red marks elevated fakeout risk.
Panel = summarizes Pressure Score, Buildup Side, Volume Support, Fakeout Risk, Risk / Target, and Action.
🚦 Signals & States
• Bull Pressure → bullish buildup is forming inside the pressure box near the upper trigger context.
• Bear Pressure → bearish buildup is forming inside the pressure box near the lower trigger context.
• Coil Watch → compression or pressure exists, but the directional side is not clear enough yet.
• Premature → the setup does not yet meet the pressure score or structural requirements.
• Fakeout Risk → a boundary probe appears with weak support, poor candle pressure, or elevated rejection risk.
• Trigger Review → price has entered or crossed a trigger corridor and deserves context review.
🔔 Alerts Logic
Alerts can trigger when bullish pressure appears, bearish pressure appears, fakeout risk appears, or price enters trigger-review context.
Each alert is an attention marker. Alerts are not trade instructions, entry commands, exit commands, or automated strategy rules.
🧩 Confluence Logic
The strongest pressure read appears when multiple conditions align:
Range compression + directional buildup + supportive relative volume + constructive candle pressure + close location near the active trigger side.
When these conditions weaken, the planner can shift toward Coil Watch, Premature, or Fakeout Risk.
📊 When to Use
• Before evaluating a potential range breakout.
• During tight ranges where pressure may be building on one side.
• Around breakout watchlists where fakeout risk needs context.
• During volatility compression before expansion attempts.
• On liquid symbols where ATR, range boundaries, and relative volume are meaningful.
⚠️ When NOT to Use
• Extremely low-liquidity symbols with unreliable candles or volume.
• Very noisy micro-timeframes where range boundaries change too often.
• News-driven volatility spikes where pre-breakout pressure can distort quickly.
• Markets where the recent range is too wide to represent meaningful compression.
• As a standalone reason to enter or exit a trade.
🎛️ Key Inputs
• Pressure Range Lookback → controls the prior range used to build the active pressure box.
• Buildup Slope Lookback → controls how the script measures rising lows or falling highs.
• Sensitivity → changes how strict the compression model is.
• Minimum Pressure Score → sets the score needed for Bull Pressure or Bear Pressure states.
• Volume Support Level → defines constructive relative volume before breakout.
• Trigger Corridor ATR Width → controls the size of the upper and lower trigger corridors.
• Invalidation Buffer ATR → controls the active-side invalidation reference.
• Target Room Multiple → projects target-room context from the pressure range height.
• Visual settings → control boxes, guides, labels, panel visibility, panel location, theme, and font sizes.
🖥️ Interface & Visual Design
The interface is designed to be chart-first.
The main visual object is the active pressure box with a centered status label. Trigger corridors are narrow and controlled so the chart does not become a generic zone map. Event labels are compact, offset away from candles, and limited by cooldown and maximum-visible settings.
The AGPro panel follows the standard publication layout with a single merged blue title row, adjustable panel location, adjustable theme, and adjustable font size.
🧪 Practical Usage Workflow
1. Read the panel Pressure Score and Action.
2. Check whether the pressure box is tight or still too wide.
3. Review the Buildup Side and Volume Support rows.
4. Check whether Fakeout Risk is Low, Moderate, or Elevated.
5. Compare the active trigger corridor with invalidation and target-room context.
6. Treat labels and alerts as attention markers inside broader analysis.
🔍 Interpretation Guidelines
A high Pressure Score means the pre-breakout setup is more organized according to the script's rule set. It does not mean price must break out.
Bull Pressure and Bear Pressure describe directional buildup, not guaranteed direction.
Fakeout Risk means the boundary behavior deserves caution and context review. It does not mean a breakout cannot continue later.
Trigger Review means price is interacting with a corridor. It is a review state, not a command.
🚫 What This Script Is NOT
• Not a prediction engine.
• Not financial advice.
• Not auto trading.
• Not guaranteed signals.
• Not a buy/sell signal service.
• Not a post-breakout confirmation engine.
• Not a generic support/resistance zone map.
• Not an order-block, FVG, or supply/demand scanner.
⚠️ Limitations & Transparency
The script depends on selected lookback values, ATR normalization, relative volume behavior, and current timeframe.
Different symbols may compress differently. Some markets can show pressure for a long time before expansion. Others may probe a boundary and return inside the range several times.
The model is rule-based. Outputs should always be interpreted with broader structure, volatility, liquidity, and trader-defined risk controls.
🧠 Market Context Notes
Pre-breakout pressure is useful because the quality of a range can change before the breakout candle appears.
Rising lows can show pressure toward the upper boundary. Falling highs can show pressure toward the lower boundary. Volume support and candle pressure help judge whether that buildup is constructive or weak.
The script organizes these factors into a clean planner view so the user can decide whether the setup deserves attention, patience, or caution.
🧾 Use Case Examples
When price remains inside a tight range and the panel shifts to Bull Pressure with supported volume, the upper trigger corridor becomes the main review area.
When price presses into a boundary but the panel shows Elevated Fakeout Risk, the user can recognize that the probe may be weak or vulnerable to rejection.
When the score stays low and the state remains Premature, the range may need more time before it deserves attention.
🧱 System Philosophy
Pre-Breakout Pressure Planner follows the AGPro decision-engine approach: a script should help traders evaluate setup quality, risk, target room, and next action without promising an outcome.
The goal is not to add another signal. The goal is to improve the quality of the planning process before the chart forces a decision.
🔐 Non-Promise Statement
No script can guarantee direction, continuation, breakout success, or outcome.
This tool provides structured pre-breakout context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own analysis, risk controls, position sizing, and trading decisions.
This script does not provide financial advice, investment advice, or guaranteed trading outcomes.
📚 Educational Note
Use the script to study how pressure builds inside ranges before breakout attempts.
The strongest learning value comes from comparing the panel state, pressure box, trigger corridors, and fakeout-risk labels with the broader chart context.
Indicator
Segmented Pressure Bands [JOAT]Segmented Pressure Bands
Introduction
Segmented Pressure Bands (SPB) is an open-source, institutional-grade regression channel system that computes a linear best-fit line and deviation bands from scratch using manual Ordinary Least Squares (OLS) mathematics — no built-in regression functions used. The channel operates in distinct segments: it builds over a dynamic lookback window, freezes all parameters at a minimum length threshold, extrapolates forward using the frozen slope and intercept, and resets automatically when price closes beyond the outer deviation band. Gradient linefill layers between the basis and outer bands communicate channel pressure visually. A volume regime tint adjusts visual weight based on relative volume activity, and ATR-based TP/SL visualization is drawn on each breakout reset.
The core problem SPB solves is that standard regression channels repaint continuously as new bars add to the calculation window, making historical channel boundaries unreliable for reference. SPB's freeze-and-extrapolate architecture locks the regression parameters at a fixed point in time, then projects the channel forward. Price that deviates far enough from that projection triggers a segment reset — the channel is redrawn from the breakout point. This creates a clear, non-repainting record of each regression segment and the breakout that ended it.
Core Concepts
1. Manual OLS Linear Regression
The regression is computed using the standard Ordinary Least Squares normal equations applied to the source series over the active lookback window:
float denom = float(length) * sumX2 - sumX * sumX
slope := (float(length) * sumXY - sumX * sumY) / denom
intercept := (sumY - slope * sumX) / float(length)
RMSE (root mean square error) is calculated as the deviation of the source from the fitted line, providing the basis for band width. All accumulator variables (sumX, sumY, sumXY, sumX2) are computed in a per-bar loop, giving full control over the calculation window without relying on built-in functions that may change behavior across versions.
2. Channel Freeze and Extrapolation
When the lookback window reaches the minimum length threshold, the slope, intercept, and RMSE are locked into freeze variables. From that point forward, the x-coordinate passed to the regression formula is the number of bars elapsed since the freeze bar, allowing the channel to project forward without recalculating:
float xCur = -float(bar_index - freezeBar)
basis := frozenIcpt + frozenSlope * xCur
This extrapolation means the bands continue to move with the slope direction, but their relative spacing (the RMSE deviation) remains constant from the freeze point.
3. Segment Reset on Breakout
When a candle closes beyond the outer upper or lower band, the current segment is terminated. The channel redraws from the current bar using the fresh source data from that point forward. Old linefill objects are explicitly deleted before new ones are created to stay within Pine Script's object limits.
4. Gradient Linefills and Volume Regime Tint
N intermediate lines are drawn between the basis and each outer band, filled progressively with increasing transparency from the inner region to the outer edge. This creates a gradient pressure visualization — tighter fills near the basis signal equilibrium, wider fills near the outer band signal stretch. When the volume regime ratio (short-term MA / long-term MA) is elevated above the high threshold, line widths increase and fill opacity deepens to communicate high-activity conditions visually.
Features
Manual OLS Regression: Slope, intercept, and RMSE computed entirely from first principles — no built-in regression functions
Freeze and Extrapolate Architecture: Regression parameters locked at minimum length; channel projected forward along the locked slope
Automatic Segment Reset: Outer band close-beyond triggers segment restart — prior segment preserved as a historical record
RMSE Deviation Bands: Upper and lower bands placed at configurable RMSE multiples from the basis line
Gradient Linefill Layers: N intermediate lines fill the channel space with a visual pressure gradient — configurable step count
Volume Regime Tint: Relative volume ratio (short/long MA) adjusts visual weight — elevated volume deepens channel fills and thickens lines
ATR TP/SL Visualization: On each breakout reset, ATR-based take profit and stop loss boxes drawn from the breakout close
Channel Direction Color: Downward slope (bullish context — price above a declining regression) renders in teal; upward slope (bearish context) renders in rose
Non-Repainting Basis: Freeze architecture ensures historical segment boundaries do not move after they are drawn
Configurable Source: Basis line source is selectable (close, hl2, hlc3, ohlc4, etc.)
Dashboard (Top Right): Current slope, RMSE, volume regime label, band multiplier, and active segment bar count
Near-Band Warning Dots: Subtle circle markers appear on the chart when price is within 12% of either channel edge — early warning that price is approaching a band extreme before a breakout occurs
Distance-to-Nearest-Band in Dashboard: Current distance from price to the nearest band displayed as a percentage of channel width — provides a precise quantitative read of how stretched or compressed the current position is within the segment
Live Regression Slope in Dashboard: Live regression slope value shown in the dashboard — communicates the current directional angle of the frozen channel projection in real time
Breakout Win/Loss Tracking: Outcome of every breakout trade tracked against ATR-based TP/SL levels — total breakout trade count and cumulative win rate displayed in the dashboard
Expanded Dashboard (7 Rows): Dashboard expanded to 7 rows — now includes distance-to-band percentage, live slope, and breakout win rate alongside existing regime and segment data
Input Parameters
Regression Settings:
Source: Price input for regression calculation (default: close)
Lookback Length: Maximum bar window for OLS computation (default: 50)
Min Length to Freeze: Bar count at which slope/intercept are locked (default: 20)
Band Multiplier: RMSE multiple for outer band placement (default: 2.0)
Gradient Settings:
Gradient Steps: Number of intermediate fill lines between basis and outer band (default: 5)
Volume Regime:
Short Vol MA: Short-term volume moving average length (default: 10)
Long Vol MA: Long-term volume moving average length (default: 40)
High Vol Threshold: Vol ratio above which volume tint activates (default: 1.5)
ATR / Risk:
ATR Length: Period for ATR calculation (default: 14)
ATR SL Multiplier: Stop loss distance on breakout (default: 1.5)
Reward:Risk Ratio: Take profit multiple of stop distance (default: 3.0)
How to Use This Indicator
Step 1: Read the Channel Direction
A teal channel indicates a downward-sloping regression — price is above a declining trend line, suggesting bullish pressure within the distribution. A rose channel indicates an upward-sloping regression — price is below a rising channel ceiling, suggesting bearish pressure. The gradient fills communicate how far price has deviated from the basis within that segment.
Step 2: Trade Within the Channel
Price compressing toward the basis from an outer band (thin fill region narrowing) suggests mean reversion is underway. Price expanding toward the outer band (fills widening) suggests momentum continuation. The outer band itself acts as a stretch boundary — closes beyond it trigger a new segment.
Step 3: React to Breakout Resets
When a segment resets, the breakout bar is the reference point for directional bias. The ATR TP/SL boxes visualize the immediate risk/reward from that close. The new channel building from the breakout will establish the next directional context.
Step 4: Monitor Volume Context
Elevated volume regime (shown in dashboard) at a channel boundary gives more conviction to breakout or reversal signals. Low-volume channel touches carry less institutional weight.
Indicator Limitations
The OLS calculation runs a loop over the lookback window on every bar. On very long lookback lengths with high chart data density, this may increase script execution time — keep lookback below 200 for best performance
The freeze architecture means the channel projection can diverge significantly from price if the instrument trends strongly after the freeze point. Segment resets bring the channel back to current price, but wide outer bands may delay that reset on low-volatility instruments
Gradient linefills are subject to Pine Script's 50-linefill object limit. SPB manages this with explicit deletion on each segment reset. If the gradient steps setting is set very high (above 10), this limit may be approached in active markets
ATR TP/SL boxes on breakout are drawn from the breakout close. They do not adjust for gaps, overnight moves, or instrument-specific spread — manual adjustment of the ATR multiplier may be needed for highly volatile instruments
Volume regime calculation uses simple moving averages of volume. On instruments where volume data is synthetic or unavailable, the regime indicator will not reflect true market activity
Originality Statement
SPB implements a regression channel with a freeze-extrapolate-reset lifecycle that produces stable, non-repainting historical segment boundaries. This design is original for the following reasons:
Computing OLS slope, intercept, and RMSE from scratch using raw accumulator mathematics — rather than using ta.linreg() or similar built-ins — gives full control over the calculation window, source, and update behavior, and avoids implicit look-ahead that some built-in functions can introduce
The freeze-and-extrapolate architecture is distinct from standard rolling regression, where every new bar shifts the entire historical channel. Once frozen, SPB's channel parameters are immutable — historical band boundaries drawn in past segments are permanent reference levels
The gradient linefill layer system communicates statistical deviation pressure visually across the full channel width, rather than drawing only a basis and outer band with no information about the space between them
The integration of a volume regime tint directly into the regression channel visualization — adjusting visual weight based on relative volume — provides immediate context for whether current channel position is occurring during active or quiet market conditions
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Regression channels and statistical deviation bands are mathematical constructs applied to historical data — they do not predict future price behavior. Breakout signals at band extremes do not guarantee continuation in any direction. Always apply proper risk management. The author is not responsible for any trading losses resulting from the use of this indicator.
-Made with passion by jackofalltrades
Indicator
Opening Range Failure Zones [AGPro Series]📌 Bollinger Walk Quality
Bollinger Walk Quality is built for one specific question: when price starts walking the outer Bollinger Band, is that walk strong enough to support continuation, or is the structure beginning to fail?
Many Bollinger Band tools focus on band touches, volatility contraction, width percentiles, or squeeze-style expansion setups. This script takes a different approach. It studies the behavior that comes after expansion: persistent upper-band or lower-band walking, directional pressure around the outer lane, pullback quality inside the band structure, and the point where the walk begins to lose control.
The goal is to make Bollinger Band continuation easier to read directly on the chart. Instead of treating every band touch as meaningful, the script scores whether price is staying in the correct outer lane, whether the Bollinger basis supports the active direction, whether pressure is persisting across multiple bars, and whether a pullback is holding in a healthy continuation pocket.
🧭 What The Script Measures
1. Walk Side
The panel identifies whether the active environment is an Upper Walk, Lower Walk, Cooling Walk, or Neutral state.
Upper Walk means price is persistently operating near the upper Bollinger lane while the basis supports upward continuation pressure.
Lower Walk means price is persistently operating near the lower Bollinger lane while the basis supports downward continuation pressure.
Cooling states appear when a recent walk is no longer fully active, but the script is still monitoring pullback quality and failure risk for a limited memory window.
2. Band Pressure
Band Pressure is a quality score for the active or developing walk. It combines outer-lane position, persistence, band contact behavior, basis slope support, and candle direction. A higher score means the walk has stronger structural pressure. A lower score means price is no longer showing durable outer-band control.
This keeps the script focused on continuation quality instead of simple band interaction. The chart can show a band touch, but the panel helps separate a weak touch from a real band-walk environment.
3. Pullback Quality
Healthy band walks often reset toward the middle of the Bollinger structure before continuing. Bollinger Walk Quality tracks that reset through a concept-native pullback pocket.
The pullback pocket is not a generic support or resistance rectangle. It is projected from the current Bollinger structure and represents the area where a band walk can cool off while still keeping its continuation profile intact.
The panel can show states such as Awaiting Pullback, Testing Pocket, Clean Hold, or Weak Reset. This helps distinguish a controlled continuation reset from a walk that is losing quality.
4. Failure Risk
Failure Risk is designed to catch the moment when an active or recently active band walk starts to break down. It rises when price loses the outer lane, pressure falls, the basis slope weakens, or price begins to threaten the Bollinger basis.
The failure label is intentionally restrained. It appears only on fresh failure events, so the chart remains clean and readable instead of filling with repeated warnings.
🎯 Core Features
- Outer-band walk detection for upper and lower Bollinger continuation phases
- Band pressure scoring based on lane position, persistence, slope support, and band contact behavior
- Pullback-to-band quality state for continuation resets
- Projected pullback pockets that show where a healthy walk can reset without losing structure
- Failure warning labels when the active walk loses pressure or threatens the basis
- Clean AG Pro panel with walk side, band pressure, pullback quality, and failure risk
- Adjustable panel location, theme, font sizes, label spacing, label clearance, zone projection, and visual density
📊 Visual Design
The default view is designed for a clean public PulseWire chart.
The script displays Bollinger Bands, highlights the active walk track, projects a limited number of pullback zones, and uses event labels with spacing controls. Labels are anchored outside the local candle envelope so they do not disappear inside candles or cover important price action.
The chart remains active enough to be visually informative, but the object count and label density are controlled by default. This keeps the indicator suitable for repeated use across different symbols and timeframes.
🧩 Panel
The AG Pro panel summarizes the current state in four compact rows:
- Walk Side
- Band Pressure
- Pullback Quality
- Failure Risk
Panel location, panel theme, panel font size, label font size, label spacing, label clearance, zone projection, zone opacity, and object limits are all adjustable from the settings menu.
🔎 How This Is Different
Bollinger Walk Quality is not a squeeze map and does not rely on compression logic. It does not use Keltner confirmation, volatility percentile ranking, or width contraction states.
Its lane is continuation after expansion:
- Is price walking the band?
- Which side controls the walk?
- Is the walk supported by pressure and basis slope?
- Is the pullback still healthy?
- Is the walk beginning to fail?
That makes it a separate Bollinger Band workflow from squeeze-focused tools. It is designed for traders who want to evaluate trend continuation rhythm, pullback behavior, and outer-band pressure in a more structured way.
✅ Best Use Cases
- Studying Bollinger Band walk continuation
- Reviewing trend pressure after expansion
- Identifying controlled pullbacks inside active band-walk environments
- Monitoring when a walk is cooling or losing quality
- Comparing upper-band and lower-band pressure across market phases
- Keeping Bollinger Band continuation analysis clean and visual
⚙️ Settings Overview
Engine settings control the Bollinger length, multiplier, source, basis slope lookback, and ATR normalization.
Band Walk Logic settings control the outer-lane depth, minimum walk persistence, minimum walk score, pullback memory, and failure warning threshold.
Visual settings control Bollinger Bands, walk highlight, pullback zones, event labels, label spacing, label count, label offset, label clearance, and label font size.
Pullback Zone settings control zone projection length, maximum visible zones, and opacity.
Panel settings control the information panel, location, theme, and font size.
🏁 Design Intent
Bollinger Walk Quality is designed to make Bollinger Band continuation more readable without turning the chart into a crowded signal dashboard.
The script focuses on structure, persistence, pullback quality, and failure behavior. It gives the chart a clear visual rhythm while keeping the panel concise and the labels controlled.
This makes the script useful as a premium public Bollinger continuation tool and keeps it clearly differentiated from Bollinger squeeze, compression, and volatility expansion maps. Indicator
Bollinger Walk Quality [AGPro Series]📌 Bollinger Walk Quality
Bollinger Walk Quality is built for one specific question: when price starts walking the outer Bollinger Band, is that walk strong enough to support continuation, or is the structure beginning to fail?
Many Bollinger Band tools focus on band touches, volatility contraction, width percentiles, or squeeze-style expansion setups. This script takes a different approach. It studies the behavior that comes after expansion: persistent upper-band or lower-band walking, directional pressure around the outer lane, pullback quality inside the band structure, and the point where the walk begins to lose control.
The goal is to make Bollinger Band continuation easier to read directly on the chart. Instead of treating every band touch as meaningful, the script scores whether price is staying in the correct outer lane, whether the Bollinger basis supports the active direction, whether pressure is persisting across multiple bars, and whether a pullback is holding in a healthy continuation pocket.
🧭 What The Script Measures
1. Walk Side
The panel identifies whether the active environment is an Upper Walk, Lower Walk, Cooling Walk, or Neutral state.
Upper Walk means price is persistently operating near the upper Bollinger lane while the basis supports upward continuation pressure.
Lower Walk means price is persistently operating near the lower Bollinger lane while the basis supports downward continuation pressure.
Cooling states appear when a recent walk is no longer fully active, but the script is still monitoring pullback quality and failure risk for a limited memory window.
2. Band Pressure
Band Pressure is a quality score for the active or developing walk. It combines outer-lane position, persistence, band contact behavior, basis slope support, and candle direction. A higher score means the walk has stronger structural pressure. A lower score means price is no longer showing durable outer-band control.
This keeps the script focused on continuation quality instead of simple band interaction. The chart can show a band touch, but the panel helps separate a weak touch from a real band-walk environment.
3. Pullback Quality
Healthy band walks often reset toward the middle of the Bollinger structure before continuing. Bollinger Walk Quality tracks that reset through a concept-native pullback pocket.
The pullback pocket is not a generic support or resistance rectangle. It is projected from the current Bollinger structure and represents the area where a band walk can cool off while still keeping its continuation profile intact.
The panel can show states such as Awaiting Pullback, Testing Pocket, Clean Hold, or Weak Reset. This helps distinguish a controlled continuation reset from a walk that is losing quality.
4. Failure Risk
Failure Risk is designed to catch the moment when an active or recently active band walk starts to break down. It rises when price loses the outer lane, pressure falls, the basis slope weakens, or price begins to threaten the Bollinger basis.
The failure label is intentionally restrained. It appears only on fresh failure events, so the chart remains clean and readable instead of filling with repeated warnings.
🎯 Core Features
- Outer-band walk detection for upper and lower Bollinger continuation phases
- Band pressure scoring based on lane position, persistence, slope support, and band contact behavior
- Pullback-to-band quality state for continuation resets
- Projected pullback pockets that show where a healthy walk can reset without losing structure
- Failure warning labels when the active walk loses pressure or threatens the basis
- Clean AG Pro panel with walk side, band pressure, pullback quality, and failure risk
- Adjustable panel location, theme, font sizes, label spacing, label clearance, zone projection, and visual density
📊 Visual Design
The default view is designed for a clean public PulseWire chart.
The script displays Bollinger Bands, highlights the active walk track, projects a limited number of pullback zones, and uses event labels with spacing controls. Labels are anchored outside the local candle envelope so they do not disappear inside candles or cover important price action.
The chart remains active enough to be visually informative, but the object count and label density are controlled by default. This keeps the indicator suitable for repeated use across different symbols and timeframes.
🧩 Panel
The AG Pro panel summarizes the current state in four compact rows:
- Walk Side
- Band Pressure
- Pullback Quality
- Failure Risk
Panel location, panel theme, panel font size, label font size, label spacing, label clearance, zone projection, zone opacity, and object limits are all adjustable from the settings menu.
🔎 How This Is Different
Bollinger Walk Quality is not a squeeze map and does not rely on compression logic. It does not use Keltner confirmation, volatility percentile ranking, or width contraction states.
Its lane is continuation after expansion:
- Is price walking the band?
- Which side controls the walk?
- Is the walk supported by pressure and basis slope?
- Is the pullback still healthy?
- Is the walk beginning to fail?
That makes it a separate Bollinger Band workflow from squeeze-focused tools. It is designed for traders who want to evaluate trend continuation rhythm, pullback behavior, and outer-band pressure in a more structured way.
✅ Best Use Cases
- Studying Bollinger Band walk continuation
- Reviewing trend pressure after expansion
- Identifying controlled pullbacks inside active band-walk environments
- Monitoring when a walk is cooling or losing quality
- Comparing upper-band and lower-band pressure across market phases
- Keeping Bollinger Band continuation analysis clean and visual
⚙️ Settings Overview
Engine settings control the Bollinger length, multiplier, source, basis slope lookback, and ATR normalization.
Band Walk Logic settings control the outer-lane depth, minimum walk persistence, minimum walk score, pullback memory, and failure warning threshold.
Visual settings control Bollinger Bands, walk highlight, pullback zones, event labels, label spacing, label count, label offset, label clearance, and label font size.
Pullback Zone settings control zone projection length, maximum visible zones, and opacity.
Panel settings control the information panel, location, theme, and font size.
🏁 Design Intent
Bollinger Walk Quality is designed to make Bollinger Band continuation more readable without turning the chart into a crowded signal dashboard.
The script focuses on structure, persistence, pullback quality, and failure behavior. It gives the chart a clear visual rhythm while keeping the panel concise and the labels controlled.
This makes the script useful as a premium public Bollinger continuation tool and keeps it clearly differentiated from Bollinger squeeze, compression, and volatility expansion maps.
Indicator
Triangle Breakout Quality [AGPro Series]Triangle Breakout Quality
🔺 OVERVIEW
Triangle Breakout Quality is built for one of the most searched and visually recognizable chart structures in technical analysis: the triangle breakout.
The script automatically detects triangle candidates from confirmed pivot highs and pivot lows, projects the upper and lower converging boundaries, measures how much the structure has compressed, locates the projected apex, and grades the quality of the eventual breakout. After the release, it monitors the first return toward the broken triangle boundary so the user can see whether price accepted the breakout or quickly lost structural quality.
The goal is not to mark every small consolidation or every trendline touch. The goal is to isolate the full triangle sequence:
Formation -> compression -> apex pressure -> boundary release -> first retest state.
That full lifecycle is what gives the tool its own identity. A triangle is not just a range, not just a single diagonal line, and not just a breakout candle. It is a narrowing structure where both sides of price are being compressed into a decision point. This script is designed around that idea from the ground up.
🔹 WHAT MAKES IT DIFFERENT
Most triangle tools stop at drawing two lines. Most breakout tools stop at the first candle outside a boundary. Triangle Breakout Quality does more by turning the structure into a scored, state-aware workflow.
Core differentiators:
• Dual-boundary validation
The script requires both an upper pivot boundary and a lower pivot boundary. The two lines must converge. This prevents the logic from acting like a generic trendline-break detector.
• Compression measurement
The engine compares the opening width of the triangle with the current width. A pattern must show meaningful narrowing before it can qualify.
• Apex pressure logic
The script projects where the upper and lower boundaries intersect and evaluates whether the current structure is close enough to that decision zone to matter.
• Breakout quality score
Every displayed breakout receives a 0-100 score based on compression, apex pressure, breakout distance, candle body participation, close quality, and optional volume expansion.
• Retest state
After a breakout, the script watches the first return toward the broken triangle boundary. A held retest and a failed retest are visually different states, not the same event.
• Premium visual restraint
The chart shows active triangle lines, controlled breakout labels, optional retest labels, subtle candle tint, and a compact AGPro panel. Label density is capped so the layout stays clean for live use and publication screenshots.
🧭 WHY THIS DOES NOT OVERLAP WITH OTHER AGPRO TOOLS
This script is intentionally separated from the existing AGPro breakout and structure family.
It is not Break-Retest Quality, because it does not begin with a horizontal pivot break and then grade the first retest of that static level. Triangle Breakout Quality first requires a valid converging triangle structure.
It is not Failed Break Quality, because it is not centered on false breaks and reclaim behavior. It tracks the primary breakout from a valid triangle and then monitors the first boundary retest.
It is not Consolidation Breakout Quality, because the reference structure is not a horizontal range. A triangle must have two projected pivot boundaries that move toward each other.
It is not Donchian Breakout Quality, because it is not based on period highs and lows or channel escape logic.
It is not ATR Envelope Breakout Quality, because it does not use a volatility envelope as the breakout shell.
It is not Auto Trendline Break Quality, because it does not score isolated trendline breaks. The event only matters when the upper and lower lines together form a valid triangle compression structure.
That distinction matters visually and analytically. On the chart, this script tells a triangle story: converging boundaries, apex pressure, breakout quality, and retest state. It belongs in the chart-pattern lane, not the generic breakout lane.
⚙️ METHODOLOGY
1. Pivot anchors
The script uses confirmed pivot highs and pivot lows to define the latest upper and lower triangle boundaries. This keeps the structure rules transparent and reproducible.
2. Convergence filter
The upper boundary and lower boundary must move toward each other. The current width of the pattern must be smaller than the starting width, and the compression percentage must meet the selected threshold.
3. Width and maturity filters
The pattern must be old enough to represent a real structure, but not so old that it becomes stale. The starting width and current width are also normalized by ATR so the same logic can adapt across symbols and timeframes.
4. Apex projection
The script calculates where the two projected boundaries intersect. This creates the apex pressure layer, which helps separate mature triangle compression from loose diagonal movement.
5. Breakout confirmation
A bullish breakout requires price to close beyond the projected upper boundary by an ATR-normalized buffer. A bearish breakout requires price to close beyond the projected lower boundary by the same type of buffer.
6. Quality score
The breakout score combines:
• Compression quality
• Apex pressure
• Breakout distance beyond the boundary
• Candle body participation
• Close position inside the breakout candle
• Optional volume participation
The result is displayed as a compact grade and score so the chart remains readable.
7. Retest state
After a breakout, the script projects the broken triangle boundary forward internally and evaluates an ATR-scaled retest tolerance around it. If price revisits that boundary area and holds the correct side, the retest is marked as held. If price loses the boundary, the retest state is marked as failed.
📊 PANEL
The AGPro panel summarizes the current structure and latest event:
• Pattern Age
• Compression
• Apex Pressure
• Breakout Side
• Retest Quality
• Current State
Panel location, theme, and font size are adjustable. The first row follows the AGPro publication standard: one merged blue header row containing only the panel title.
🎛️ KEY INPUTS
Triangle Structure
• Pivot Length
• Minimum Pattern Age
• Maximum Pattern Age
• Minimum Compression %
• Minimum Starting Width ATR
• Maximum Current Width ATR
• Maximum Forward Apex Bars
Breakout Quality
• ATR Length
• Volume Average Length
• Use Volume Participation
• Volume Full-Score Ratio
• Minimum Break Distance ATR
• High Quality Threshold
• Minimum Label Score
• Visual Cooldown Bars
Retest State
• Retest Minimum Bars
• Retest Window Bars
• Retest Tolerance ATR
Visual Controls
• Show Triangle Lines
• Show Breakout Labels
• Show Retest Labels
• Tint Breakout Candles
• Label Offset ATR
• Label Font Size
• Maximum Visible Events
Panel
• Show Panel
• Panel Position
• Panel Theme
• Panel Font Size
🔍 HOW TO READ IT
When a valid triangle is forming, the chart displays the converging upper and lower boundaries. The panel reports apex pressure and compression so the projected decision area is visible without adding extra rectangles to the chart. Compression shows how much the pattern has tightened relative to its opening width.
When price closes beyond a valid boundary, the script prints a compact breakout label with a quality grade and score. A higher score means the breakout candle carried stronger structural qualities according to the script's rules.
After the breakout, retest labels and the panel show whether the first return toward the broken triangle boundary held or failed. A held retest suggests cleaner acceptance of the breakout boundary. A failed retest suggests the release lost quality.
Use the tool as a structured chart-reading layer. It is designed to help users compare triangle breakouts by quality, not to replace broader context such as trend, liquidity, session behavior, or personal execution rules.
🧩 BEST USE CASES
• Symmetrical triangle compression
• Ascending triangle pressure
• Descending triangle pressure
• Breakout candle quality review
• First retest monitoring after triangle release
• Screenshot-friendly pattern study
• Multi-symbol scanning for cleaner chart-pattern candidates
🔹 LIMITATIONS AND TRANSPARENCY
Triangle detection is based on confirmed pivots, so the final anchor points appear only after the selected pivot length has elapsed. This is standard pivot behavior and keeps the structure rules visible.
The live triangle can change while new pivots form. Breakout and retest labels are event-based and are designed to remain stable after confirmation.
Volume participation is optional because volume quality varies across markets and feeds. On instruments where volume is less informative, the volume component can be disabled.
The score is a structured description of the triangle release according to the script's internal model. It should be read as context, not as an execution command.
Indicator
Buy/Sell Pressure Meter [AGPro Series]Buy/Sell Pressure Meter
🔹 Overview
Buy/Sell Pressure Meter is a volume-flow analytics tool that quantifies the tug-of-war between buyers and sellers on every bar and on a rolling basis. Unlike traditional volume delta indicators that only plot raw bar-level buy minus sell, this tool layers four complementary lenses into a single oscillator: rolling pressure trend, imbalance streak tracking, intraday pressure shift count, and session-accumulated dominance. A subtle price-pane background tint gives a Bookmap-light read on intraday participation that works across crypto, futures, and liquid equities — without requiring tick-level order flow data.
🔹 Unique Edge
Most volume-delta scripts answer the question "which side was bigger on this bar?" This one answers a different, more useful question for intraday traders: "who has been in control, and how stable is that control?"
• Rolling Pressure Trend — a moving average of buy and sell pressure separately (dual histogram), so you see structural bias, not just bar-to-bar noise.
• Imbalance Streak Tracking — counts consecutive same-side dominant bars and labels only the final length of each significant streak at the moment the streak breaks. No per-bar label spam, one clean marker per event.
• Intraday Pressure Shift Count — how many times the rolling dominant side has flipped since session open. High shift count = rotational day. Low shift count = trending day.
• Session-Accumulated Net Delta — cumulative bull vs bear contribution since the day began, independent of the rolling window.
• Price-Pane Bookmap-Light Tint — a very high-transparency background tint paints the main chart pane when one side is rolling-dominant, so you see control visually without leaving the price chart.
These five lenses together are deliberately designed not to overlap with raw volume-delta or cumulative-volume-delta indicators. They describe the character of participation, not just its magnitude.
🔹 Methodology
Because standard chart data does not include true tick-level order flow, this script uses a widely-accepted proxy: up-bar volume is attributed to buy pressure, down-bar volume to sell pressure, and doji volume is split evenly. This is explicitly a simulated bias — not real bid/ask flow — and the script labels it as such in the panel.
From that proxy:
1. Current-bar bull pressure percentage = buyPressure / (buyPressure + sellPressure) × 100.
2. Rolling pressure = SMA of buy and sell pressure over the user-defined window (default 20 bars).
3. A bar is classified bull-dominant when its bull pressure percent exceeds the dominance threshold (default 55%), and bear-dominant at the mirror level.
4. Streaks count consecutive bars of the same classification and reset when a neutral or opposite bar prints. Peak length is captured at the moment of reset and optionally labelled on chart.
5. Pressure shifts compare the current rolling dominant side against the last confirmed non-neutral dominant side; a change increments the intraday shift counter (only on intraday timeframes).
6. Session delta is the cumulative net delta since the last daily rollover.
🔹 Signals & States
• Dual histogram — buy pressure (teal, upward) and sell pressure (pink, downward) plotted as rolling averages.
• Net delta center line — accent-colored line showing rolling buy minus sell.
• Price-pane background tint — subtle teal or pink when one side is rolling-dominant, gives a Bookmap-light feel without obscuring candles.
• Oscillator-pane echo tint — even more subtle tint mirroring the dominant side in the indicator pane.
• Shift markers — triangles on the pane when the dominant side flips.
• Streak peak labels — plotted only at streak termination, showing final length (e.g. "Bull 7").
• Alerts — pressure shift to bull, pressure shift to bear, bull imbalance streak, bear imbalance streak.
🔹 Key Inputs
Calculation:
• Rolling Pressure Length — default 20. Higher = smoother, slower reaction.
• Minimum Streak To Highlight — default 3. Used for alerts.
• Dominance Threshold — default 55%. Share of total pressure needed to classify a bar as dominant.
Visuals:
• Tint Price Pane On Dominance — toggles the Bookmap-light effect on the main chart.
• Show Streak Peak Labels + Minimum Streak Length To Label (default 5) — controls chart cleanliness.
• Show Pressure Shift Events — triangle markers on shifts.
• Background Tint Transparency — default 94, adjustable 80-99.
Panel:
• Panel Location, Theme (Dark / Light), Font Size, Label Font Size — all default to Normal and fully configurable.
🔹 How To Use
This is an analytical tool, not a standalone trading system. Typical use cases:
• Confirmation — when price breaks a structure level while the rolling net delta is strongly in the break direction and a streak is in progress, the break has participation behind it.
• Exhaustion — a long bull streak peak followed by a rolling shift to bear, or vice versa, often marks the end of the current impulse.
• Regime read — a day with many intraday pressure shifts is rotational; a day with 0-1 shifts is directional. Adjust your playbook accordingly.
• Companion to S/R, supply/demand, and volume profile tools — use the streak peak and shift events as a participation filter when price interacts with a zone.
Best results on liquid instruments with meaningful bar-to-bar volume variation. Low-volume illiquid tickers produce noisier readings.
🔹 Limitations & Transparency
• The buy vs sell attribution is a proxy derived from bar direction and bar volume. It is not real order flow, Level 2, or tick data. Bookmap, CVD from exchange feeds, and footprint tools access information that bar-level scripts structurally cannot replicate.
• On instruments or timeframes where many bars close near their open (doji-heavy regimes), proxy-based attribution becomes less informative.
• The intraday shift counter is only meaningful on intraday timeframes; on daily-and-above timeframes the panel explicitly shows this as n/a.
• The script is non-repainting on closed bars. Intrabar values update in real time and may change until the bar confirms.
• Pressure shifts and streaks describe past and current state. They are not predictions of future price.
🔹 Risk Disclosure
This script is provided as an analytical tool for educational and research purposes. It does not constitute financial advice, a trading signal, or a recommendation to buy or sell any asset. Past performance of any pattern, streak, or shift event does not guarantee future results. Users are solely responsible for their own trading decisions and risk management. Always combine any indicator with broader market context, position sizing discipline, and your own due diligence. Indicator
Compression Pressure Map [AGPro Series]Compression Pressure Map
⚡ Overview
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Compression Pressure Map is a structural context tool that measures how tightly price is compressing against the nearest pivot-based level, and evaluates two behavioral scenarios in parallel: breakout anticipation and reversal watch. The output is a visual map of where pressure is accumulating — rendered as an evolving pressure zone that moves through BUILDING, ARMED and READY states.
This is not a signal engine, not a forecast, and not a trading strategy. It is a visualization layer that answers a single question: where is compression building around the active level, and in which direction is that pressure leaning.
🧭 Unique Edge
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Most compression indicators reduce behavior to a single direction. CPM separates compression into two parallel scoring engines that run on the same structural core:
🔹 Breakout Anticipation — pressure building for a directional break through the level
🔹 Reversal Watch — pressure building for a rejection at the level
In Auto mode the dominant scenario is rendered on the chart (cleaner visual), while the panel shows both scores side by side for transparency. Power users can lock the engine to a single mode. The active level is stabilized with a clustered pivot refinement and a drift-control lock, so the displayed level stays consistent instead of jumping on every new pivot. A compression gate keeps the pressure score aligned with the compression core: when compression is weak, pressure cannot escalate into high states.
🧪 Methodology
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The pressure score is a weighted composite of six structural components, measured on the active scenario:
🔹 Range compression (short-window range vs long-window range)
🔹 ATR compression (short-window ATR vs long-window ATR)
🔹 Body tightness (average body size relative to average range)
🔹 Quiet-bar persistence (how many recent bars qualify as calm)
🔹 Proximity to the active level (normalized by ATR)
🔹 Directional posture (slope, close position in bar)
Reversal scoring adds wick-rejection weight at the active level (average lower-wick size for bull reversals, upper-wick size for bear reversals). Breakout scoring adds approach slope weight toward the active level. A shared EMA smoothing step produces calmer state transitions. A dominance margin and cooldown prevent rapid scenario flipping. The final score is driven through a BUILDING → ARMED → READY state machine with hysteresis on the zone visibility to avoid flicker.
🎯 Signals & Alerts
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The state machine produces four transition alerts plus two pace alerts:
🔹 Pressure Armed Near Level — score crosses the armed threshold with an active scenario
🔹 Ready Zone Reached — score crosses the ready threshold with an active scenario
🔹 Armed Bullish / Bearish Scenario — directional armed transitions
🔹 Ready Bullish / Bearish Scenario — directional ready transitions
🔹 Pressure Rising — score is climbing while the zone is live
🔹 Pressure Released — the active scenario resolves (through the level or by decay)
On the chart, state transitions are marked with discrete A and R markers on the active side. A score label near price always shows the current pressure value, bias and state for quick reading without opening the panel.
⚙️ Key Inputs
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🔹 Engine Mode — Auto, Breakout Anticipation, or Reversal Watch
🔹 Compression Length — main lookback for range, ATR and body tightening
🔹 Trigger Distance (ATR) — how close price must be to a level to start evaluating
🔹 Hold Distance (ATR) — how far price can drift before the active context is cleared
🔹 Pivot Left/Right and Cluster Tolerance — pivot strength and blending behavior
🔹 Compression Gate and Gate Threshold — compression-first discipline control
🔹 Armed / Ready / Zone On / Zone Off Thresholds — state machine calibration
🔹 Full visual controls — zone width, band extend, line width, label size, panel position and font
All defaults are tuned for mid-volatility crypto pairs on 1H and 4H timeframes, but the engine adapts across symbols and timeframes through its ATR-normalized distance logic.
📘 How to Use
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🔹 Open the indicator in Auto mode and observe which scenario the panel highlights
🔹 Wait for the pressure zone to appear on the chart (BUILD → LIVE transition)
🔹 Read the state: BUILDING means the setup is forming, ARMED means the setup is mature, READY means compression and proximity are both at peak
🔹 Cross-reference with your own structural read — CPM describes the compression landscape, the decision is yours
🔹 If you prefer one behavioral lens only, lock the engine to Breakout Anticipation or Reversal Watch
🔹 Use the Compression Gate to enforce compression-first discipline — when compression is weak, the pressure score stays in WATCH
🔹 The tool is timeframe-agnostic; try it on 15m, 1H, 4H and 1D to see how compression contexts nest
CPM is designed to sit alongside your strategy, not replace it. It maps the compression field; you read the context.
⚠️ Limitations & Transparency
────────────────────────────────────────
🔹 CPM is a context visualization tool, not a signal generator — it does not issue buy or sell calls
🔹 The pressure score is a structural measurement, not a probability estimate
🔹 State transitions describe the compression field at the moment they print; they do not imply what happens next
🔹 Active level refinement is intentionally conservative — the level may feel slower to update than raw pivots, by design
🔹 Very high volatility regimes may keep the compression score low for extended periods, which is the intended behavior
🔹 The tool is deterministic on closed bars; intrabar values are provisional until bar close
CPM is released as Public, Open-source under MPL 2.0. The source is fully readable and auditable.
🛡️ Risk Disclosure
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This indicator is published for educational and analytical purposes only. It is not financial advice, not a trading strategy, and not a recommendation to buy or sell any asset. Past behavior of any level or pressure state does not predict future behavior. Markets carry risk of loss; users are solely responsible for their own decisions and risk management. Always do your own research and consider consulting a qualified professional before making trading or investment decisions. Indicator
Market Pressure Route [AGPro Series]Market Pressure Route
🌊 Overview
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Market Pressure Route visualizes the directional buying/selling pressure of a market as a flowing route that tracks price from above or below, and classifies the texture of that flow in real time as Clean, Stalling, Exhausted, or Broken. It is a visualization and classification tool built around two original analytics: the Directional Pressure Score (DPS) and the Route Continuity Index (RCI). The route does not predict price — it describes how clean, consistent, and energetic the current pressure is, so you can read the order-flow texture at a glance.
🔹 Unique Edge
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Most pressure, flow, or delta-style indicators collapse to a single oscillator or histogram and leave the trader to interpret the number. Market Pressure Route takes a different route.
• Dual-layer engine — DPS measures how directional pressure is; RCI measures how consistent that pressure has been over a lookback window. Pressure without continuity is noise; continuity without pressure is drift. Only the combination qualifies as a Clean route.
• Route, not oscillator — the analytic flows as a colored band above or below price. You read the texture of the market in the same place you read price, not in a separate pane.
• Four-state classification — Clean, Stalling, Exhausted, Broken. Every bar lands in exactly one state, driven by a deterministic decision tree. No grey zones, no ambiguous signals.
• Magnitude-gated break detection — a sign flip in pressure only counts as a Broken route when the flip happens with enough energy. This suppresses the low-amplitude zero-line noise that plagues most flow tools.
• Institutional-grade presentation — compact AGPro panel with live state, direction, DPS bar widget, RCI, and a continuity Flow bar. Badges only mark the transitions that change the market story; Stall and Exhaust transitions are conveyed by route color alone.
🔹 Methodology
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Directional Pressure Score (DPS) — a composite bounded in blending four bar-level microstructure components:
• Body (45%): closing conviction within the bar range
• Close Location (25%): close position relative to the bar midpoint
• Volume (20%): clamped z-score of volume vs a 50-bar baseline
• Gap (10%): open-to-prior-close gap, ATR-scaled
The raw score is clamped to and then EMA-smoothed with the Pressure Length.
Route Continuity Index (RCI) — a score combining:
• Persistence (65%): fraction of bars in the lookback whose DPS sign matches the current sign
• Stability (35%): one minus the normalized dispersion of DPS across the window
Stability is calibrated for the bounded range of DPS so that RCI remains resolute and does not saturate near 1.0 on quiet markets.
State Classification — a deterministic ternary decision tree:
• Broken — the pressure sign has just flipped with magnitude above the Broken Minimum DPS. Held for up to five bars as a cooldown so the transition is visible.
• Clean — qualifies via either a magnitude path (|DPS| above Clean DPS threshold and RCI above Clean RCI threshold) or a continuity path (RCI above 0.75 with minimum pressure above the Stalling DPS threshold). The dual path handles rally/selloff asymmetry.
• Stalling — pressure still present (|DPS| above Stalling threshold) but continuity has weakened (RCI below Clean levels).
• Exhausted — pressure has faded below the Stalling threshold or is losing magnitude.
🔹 Signals & Alerts
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State transitions are exposed in two places:
On-chart badges:
• CLEAN UP — bullish Clean route has just formed
• CLEAN DOWN — bearish Clean route has just formed
• BROKEN — pressure direction has just flipped with magnitude
Intermediate Stall and Exhaust transitions are conveyed by route color change only, keeping the chart uncluttered. A price-clustering filter suppresses repeated same-type badges in the same zone so sideways markets stay institutional.
Alerts (both alert() calls and alertcondition() entries):
• Clean Bullish Route
• Clean Bearish Route
• Route Stalling
• Route Exhausted
• Route Broken
🔹 Key Inputs
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Core Analytics:
• Pressure Length — EMA length applied to DPS (default 14)
• Route Smoothing — visual smoothing for the route band only (default 3)
• Route Continuity Lookback — bars used to compute RCI (default 10)
• Strict Route Filter — raises Clean thresholds by 0.10 for higher timeframes
Classification Thresholds:
• Clean DPS / Clean RCI — magnitude-path qualification levels
• Stalling DPS — minimum pressure to stay out of Exhausted
• Broken Minimum DPS — magnitude gate for break detection
Visual:
• Show Route Band, Minimal Mode, Price Tint
• Route Band Offset in ATR units
• Show State Badges toggle
Panel:
• Show Panel, Location (five positions), Font Size (Tiny to Large)
• Label Font Size
🔹 How to Use
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• Context reading — the route color tells you what kind of flow you are in before you take any decision. A bright green or pink route with a strong Flow bar is a clean regime; a grey route is an exhausted regime.
• Transition awareness — BROKEN badges mark moments where the pressure narrative has changed with energy. Use them as context signals, not as entries.
• Higher-timeframe bias — many users enable Strict Route Filter on the daily and weekly to isolate only the strongest Clean routes, then drop to intraday for execution.
• Works on any liquid market with reliable volume: crypto, majors in FX, indices, and large-cap equities. Low-volume pairs dilute the volume component of DPS.
🔹 Limitations & Transparency
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• This is a classification and visualization tool. It does not forecast price, it does not generate buy or sell orders, and it is not a strategy.
• DPS relies on a reliable volume series. Instruments with synthetic or missing volume will weight the volume component poorly.
• Route color and state describe the current bar's classification and update in real time. Final state for any bar is determined at bar close.
• No indicator identifies every turn in the market. Clean routes can exhaust without breaking; Broken routes do not guarantee a reversal of price.
🔹 Risk Disclosure
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This script is provided for educational and analytical purposes only. It is not financial advice, not a trading recommendation, and not a solicitation to buy or sell any asset. Trading involves significant risk, including the possible loss of principal. Past performance and historical signal behavior do not guarantee future results. Always perform your own research and risk management, and size your positions according to your own risk tolerance. Indicator
Delta Pressure Gauge [JOAT]Delta Pressure Gauge
Introduction
Delta Pressure Gauge is a pane-based oscillator that constructs a volume-weighted directional wave from bar-by-bar delta estimation, normalized using a rolling maximum to ensure consistent scaling across all instruments and timeframes. The oscillator measures the pressure imbalance between buying volume and selling volume, smoothed into a wave that reveals accumulation and distribution phases with high visual clarity. The indicator includes a money flow pressure line, a cumulative windowed delta cloud, divergence detection, and crossover signal dots.
Traditional volume indicators — OBV, CMF, MFI — measure volume flows using raw or price-weighted calculations that are difficult to compare across instruments or timeframes because their absolute values depend on the asset's volume profile. Delta Pressure Gauge normalizes everything to a -1 to +1 scale using a rolling maximum, producing readings that are immediately interpretable regardless of whether the asset trades 100 shares or 100 million. The wave design provides a visual rhythm that makes accumulation and distribution phases recognizable at a glance.
Core Concepts
1. Body-Quality Weighted Bar Delta
Each bar contributes a delta value based on direction (bullish = +volume, bearish = -volume) multiplied by the bar's body quality ratio (body size divided by total range). A full-body bar contributes 100% of its volume to delta. A doji bar with no body contributes 0%. This filtering reduces the noise contribution of indecision bars that add volume without directional information.
body_qual = math.abs(close - open) / math.max(high - low, syminfo.mintick)
bar_delta = bar_dir * volume * body_qual
2. Rolling Maximum Normalization
The raw wave EMA is normalized by dividing by the rolling maximum absolute value over the normalization window. Unlike percentile-based normalization, rolling maximum works reliably from the first bar, requires no minimum warmup period, and produces values that are always within the -1 to +1 range:
norm_ref = ta.highest(math.abs(raw_wave), i_norm)
wt1 = raw_wave / math.max(nz(norm_ref, 1.0), 1.0)
3. Windowed Cumulative Delta
Rather than using an all-time cumulative delta (which grows without bound and becomes dominated by early bars), the cumulative component uses a 30-bar rolling sum. This produces a medium-term delta bias that reflects the recent directional commitment of volume participants.
4. Money Flow Pressure Line
A separate money flow calculation weights volume by the ratio of price movement to range: (close - open) / range × volume. This captures the efficiency of price movement relative to its volume cost — high-momentum bars have larger weights than range-bound bars.
5. Divergence Detection
Bullish divergence is detected when the delta wave makes a higher low while price makes a lower low. Bearish divergence is the mirror. Detection uses confirmed pivot points on the wave with persistent previous-pivot storage, avoiding any ta.valuewhen type compatibility issues. Divergence lines are rendered directly on the oscillator pane.
Features
Wave Oscillator: Gradient area fill between wave and zero, color-coded by direction and intensity
Signal Line: Smoothed signal with direction-colored rendering
Histogram: Four-state colored momentum bars showing wave-signal separation and its rate of change
Crossover Dots: Large circles with glow rings at every wave/signal crossover
Zero-Line Cross Dots: Small markers when wave crosses the zero line
Overbought/Oversold Extreme Dots: Markers at extreme readings
Divergence Triangles and Lines: Yellow markers and connecting lines when divergence is detected
Cumulative Delta Cloud: Area fill showing 30-bar rolling delta direction
Money Flow Line: Purple secondary line for cross-confirmation
Volume Surge Markers: Cross markers when volume exceeds 2x average
12-Row Dashboard: Pressure state, wave values, histogram, signals, cumulative delta, money flow, volume ratio, divergence state
Input Parameters
Wave Channel Length: Fast EMA for wave construction (default: 10)
Wave Average Length: Signal line smoothing period (default: 21)
Rolling Norm Window: Window for rolling maximum normalization (default: 100)
Overbought/Oversold levels: Four configurable threshold lines
Divergence pivot lookback settings
How to Use This Indicator
Crossover Dots as Momentum Shifts
When the wave crosses above the signal line (green dot), buying pressure is accelerating relative to the smoothed baseline. This confirms a momentum pickup. The opposite for bearish crosses. These signals are strongest when they occur near or below the oversold line.
Zero-Line Confirmation
The wave crossing zero from below indicates that aggregate buying pressure over the wave window has turned net positive. This is a regime confirmation, not an entry signal in isolation, but it supports bullish bias when aligned with price structure.
Divergence at Extremes
Divergence is most meaningful when the wave is at or near an overbought or oversold extreme. A bullish divergence from the oversold zone (yellow triangle pointing up) suggests the distribution of buying pressure is shifting despite continued price weakness.
Cumulative Delta Direction
The blue-purple cloud shows whether the 30-bar rolling delta is net positive or negative. When the wave crosses bullishly and the cumulative delta is also positive, both the momentum and the persistent pressure agree.
Limitations
This indicator uses close-open direction to estimate bar delta. True bid-ask volume data (available only through specialized data providers) would be more precise. On instruments with significant wick activity (doji bars), this estimation introduces noise
Normalization by rolling maximum means a single extreme bar sets the scale for the entire norm window. One unusually large volume bar will compress all surrounding readings
Divergence detection requires enough bars for pivot confirmation. The pivot right-side lookback introduces a lag in divergence signals
This indicator measures volume pressure proxies, not actual institutional activity. Large volume does not always reflect institutional intent
Originality Statement
The body-quality weighting applied before delta smoothing is a deliberate design choice that reduces doji noise in a way that raw-volume or typical-price approaches do not. The rolling maximum normalization (rather than percentile or z-score) was chosen specifically because it operates reliably from the first bar without a warmup cliff, making the indicator immediately usable on limited datasets. The combination of a wave oscillator, cumulative delta cloud, and money flow line on a single pane provides three independent perspectives on the same underlying volume pressure question.
Disclaimer
This indicator is for educational and informational purposes only. Volume pressure readings are estimates derived from OHLCV data. They do not represent actual order flow or institutional positioning. Past divergence patterns do not predict future price reactions. Always apply appropriate risk management.
-Made with passion by officialjackofalltrades
Indicator
AG Pro Relative Volume Pressure Map [AGPro Series]AG Pro Relative Volume Pressure Map
Overview / What it does
AG Pro Relative Volume Pressure Map is designed to evaluate whether relative volume is translating into efficient bullish pressure, efficient bearish pressure, inefficient two-way absorption, or possible climax behavior.
Instead of treating relative volume as a standalone “high volume” condition, this script maps how that volume is interacting with candle structure, close location, wick behavior, and short-term pressure efficiency. The result is a rules-based pressure framework built to help organize active price-volume interaction directly on the chart.
This script is not built as a basic RVOL meter, a generic volume spike detector, or a standalone entry engine. Its purpose is to classify whether elevated relative volume is being accepted as directional pressure, being absorbed into unstable churn, or appearing late enough to justify caution.
The visual design is intentionally chart-facing. Pressure events, backdrop zones, memory trails, and the summary panel are meant to help traders read whether volume is supporting directional intent or fading into friction. It is a decision-support map, not a prediction model.
Unique Edge
The main difference of this script is simple:
It does not ask only whether volume is above average.
It asks whether above-average volume is producing usable directional pressure.
That distinction matters.
Many relative volume tools stop at “volume is elevated.” This script goes further and evaluates whether that elevated participation is accompanied by efficient body structure, strong close positioning, limited opposing wick pressure, and acceptable short-horizon follow-through context. In other words, it attempts to separate meaningful pressure from noisy activity.
This also makes the script materially different from several other AG Pro tools:
- It is not a Volume Profile framework. It does not map acceptance, rejection, POC interaction, or value-area structure.
- It is not a VWMA extension tool. It does not measure dislocation from a volume-weighted moving anchor.
- It is not a money-flow proxy. It does not attempt to infer broader accumulation or distribution from flow-style formulas.
- It is not a breakout-quality map. It does not judge level breaks, retests, or structural invalidation around support/resistance rails.
- It is not a trend regime meter. It focuses on active pressure quality around current bars rather than broad market-state classification.
Its niche inside the AG Pro lineup is more specific:
AG Pro Relative Volume Pressure Map focuses on whether current relative volume is being converted into directional pressure efficiently, inefficiently, or excessively.
Methodology
The script starts with relative volume. Current volume is compared against its recent average so the tool can determine whether participation is dry, normal, elevated, or extreme.
From there, the script evaluates how price is behaving inside the same bar:
- Body efficiency: how much of the total range is being expressed through the real body.
- Close location: whether the bar is closing with directional conviction or fading into the middle of its range.
- Opposing wick pressure: whether the active side is being challenged by rejection.
- Stretch versus ATR: whether the move is becoming extended relative to recent volatility.
- Optional one-bar follow-through filter: whether short-horizon continuation is present when pressure is classified.
These components are combined into a pressure logic model that classifies price-volume behavior into five chart states:
1. Bull Pressure
Elevated relative volume is aligned with an efficient bullish body, strong close placement, limited upper-wick resistance, and acceptable follow-through context.
2. Bear Pressure
Elevated relative volume is aligned with an efficient bearish body, strong close placement, limited lower-wick resistance, and acceptable follow-through context.
3. Absorption
Relative volume is elevated, but directional efficiency is weak, conflicted, or unstable. This often reflects churn, friction, or two-way participation where raw activity does not cleanly convert into directional pressure.
4. Climax Risk
Relative volume is extreme and the bar is stretched enough to justify caution. The script uses this state to identify situations where pressure may be arriving in a late or inefficient form rather than in a fresh, clean expansion phase.
5. Passive
No major pressure condition is active. Participation is comparatively dry, mixed, or below the threshold required for the more expressive states above.
States / Alerts
This script is organized around states rather than trade commands.
Available state logic includes:
- Bull Pressure
- Bear Pressure
- Absorption
- Climax Risk
- Pressure State Change
These alerts are intended to reflect changes in price-volume character, not guaranteed opportunity. They can be used as workflow events, review prompts, or contextual filters inside a broader chart process.
The panel summarizes the active environment through fields such as:
- RVOL state
- Current pressure state
- Pressure side
- Quality
- Strength
- Efficiency
- Absorption risk and short-horizon bias
The chart layer complements this with event labels, backdrop zones, and pressure memory trails so the user can see not only what state is active now, but how recent pressure has evolved across the visible structure.
Why this is different from the other AG Pro scripts
AG Pro Relative Volume Pressure Map was intentionally designed to avoid overlap with the existing AG Pro publication line.
Where some AG Pro tools are built around breakout structure, moving-average displacement, equilibrium logic, profile interaction, or directional survival around a specific technical framework, this script stays centered on one narrower question:
Is current relative volume producing efficient pressure, inefficient absorption, or late-stage risk?
That makes it different in both concept and use case.
For example:
- A breakout-quality tool is asking whether a level event is structurally convincing.
- A profile-based tool is asking whether price is accepting or rejecting volume-defined areas.
- A reclaim/dislocation tool is asking whether price is stretching away from or reclaiming a known reference.
- This script is asking whether participation itself is translating into directional pressure cleanly enough to matter.
So even when the chart user applies multiple AG Pro tools together, this one is not meant to duplicate them. It fills a different layer of analysis: active pressure efficiency around relative volume.
Key Inputs
Relative Volume Length
Controls the lookback used to normalize current volume versus its recent baseline.
ATR Length
Used for stretch evaluation and several visual placement rules.
Pressure Smoothing
Smooths the relative volume component to reduce one-bar noise.
Use 1-Bar Follow-Through Filter
Adds a simple continuation requirement so pressure states can be made more selective.
Elevated RVOL Threshold
Defines the point at which participation becomes meaningfully above normal.
Extreme RVOL Threshold
Defines the threshold used for more exceptional activity and climax-style conditions.
Minimum Body Efficiency
Controls how much real-body participation is required before a pressure bar is considered efficient.
Strong Close Location
Controls how strongly price must close toward the active side of the range.
Opposing Wick Ceiling
Limits how much opposing rejection can be present before directional pressure quality degrades.
Climax Stretch vs ATR
Controls how extended a bar must be, relative to ATR, before the script considers late-stage risk more seriously.
Visual controls are also included for panel visibility, panel theme, panel font size, label density, candle coloring, backdrop display, and pressure-trail presentation.
Limitations & Transparency
This script does not predict future direction.
It does not identify hidden order flow.
It does not classify fundamental volume intent.
It does not replace execution rules, risk management, or higher-timeframe context.
Relative volume can expand for many reasons, and elevated participation does not guarantee continuation. In the same way, absorption or climax-style behavior can persist longer than expected before price resolves clearly.
All state classifications in this tool are rules-based interpretations of chart behavior. They are useful as structured context, but they are still abstractions built from price and volume features. Users should expect false positives, missed events, and market-specific variation depending on volatility regime, instrument behavior, and timeframe selection.
This script should be treated as an analytical overlay. It is designed to improve chart organization and pressure reading, not to promise outcomes.
Risk Disclosure
This script is provided for educational and informational purposes only.
It is not financial advice, not investment advice, and not a solicitation to buy or sell any instrument.
Trading and investing involve risk. Losses can exceed expectations, especially in volatile markets. Any decision made using this script should be confirmed with independent analysis, sound risk controls, and a workflow appropriate to the user’s own objectives and experience.
This tool is best used as one layer inside a broader decision process, not as a standalone reason to enter, exit, or size a position.
Indicator
Heikin Ashi Oscillator Trend Engine At its core, this script is a Heikin Ashi-based oscillator designed to translate HA candle behavior into a normalized momentum framework that is easier to read in a separate pane. Instead of only viewing Heikin Ashi candles on price, this script converts HA-derived range behavior into an oscillator that can help show direction, expansion, contraction, and structural shifts in a more organized way. The goal is not just to turn HA into another oscillator. The goal is to build a unified HA engine that can be read through multiple layers while still staying tied to the same foundation.
The script includes two core engine modes:
HA Range Base
This is the more direct and responsive version. It builds the oscillator from signed Heikin Ashi range behavior, then smooths that result into a cleaner momentum read.
HA Blend
This mode keeps the same HA foundation, but blends multiple smoothed HA range relationships together into one output. The result is often smoother and more refined while still staying rooted in Heiken Ashi structure.
That distinction matters because this is not a random stack of unrelated features. Everything in the script is built around the same central idea: use Heikin Ashi-derived behavior as the base signal, then offer different ways to normalize it, smooth it, visualize it, and compare it across timeframes.
The script also includes a normalization layer. A dynamic/manual lookback framework controls the reference window used for normalization and adaptive guide logic, so the oscillator can stay more balanced across different chart speeds. The output is then organized into a broader interpretation framework that includes:
➖ adaptive fast/slow crossover lines
➖ a separate SMA 20 / 50 crossover engine
➖ a rolling oscillator VWA for participation-aware context
➖ a stabilized higher-timeframe oscillator reference line
➖ a pivot-based trend overlay built from confirmed oscillator pivots
➖ adaptive zero / ±50 guide lines
➖ synthetic oscillator candles
➖ a histogram pressure envelope state engine and fill that highlights when the oscillator pushes into user-defined extreme zones inside the pane
➖ optional price-overlay candles that reuse the same oscillator color logic
➖ a compact engine table for quick reference
These are not separate systems bolted on for the sake of adding more features. They are different ways of reading the same Heiken Ashi oscillator engine.
A practical way to think about it:
➡️ When the oscillator is above zero and strengthening, HA-based momentum is expanding in the bullish direction.
➡️ When it is above zero but weakening, the move may still be positive, but the internal pace is cooling.
➡️ When it is below zero and weakening further, bearish pressure is expanding.
➡️ When it is below zero but improving, downside pressure may be easing even if the broader condition is still negative.
The higher-timeframe oscillator line adds another layer of context. It gives you a way to compare the local pane oscillator against the next broader HA context. That can help answer whether the current move is flowing with the higher-timeframe structure or starting to diverge from it.
The pivot overlay serves a different purpose. Rather than acting like another moving average, it behaves more like a structural reference derived from confirmed oscillator pivots. That can make it useful for traders who want a more regime-style guide instead of relying only on crossover behavior.
The synthetic oscillator candles are there to make bar-to-bar behavior easier to read. They can help show when the oscillator is expanding, slowing, or shifting direction more clearly than a line alone. The optional price-overlay candle mode extends that same color logic back onto the main chart so pane-space and chart-space stay visually connected.
This script is not meant to predict reversals by itself, and it should not be treated as a stand-alone signal machine. The way I use it is more practical:
➖ to judge whether HA-based momentum is expanding or contracting
➖ to compare local oscillator behavior against higher-timeframe context
➖ to see whether momentum is strengthening, stalling, or rotating
➖ to keep price-space and pane-space context visually aligned
Bar Replay
Bar Replay is especially useful here. Watching the oscillator build one bar at a time makes it much easier to understand how the HA engine responds to expansion and contraction, how the crossover layers behave during transitions, and how the pivot overlay changes only after structure is confirmed.
Confluence
Like most momentum tools, this works best with confluence. I would not use it in isolation. It becomes more useful when paired with structure, support/resistance, volume, trend context, RSI, or other confirmation tools. The value of this script is not that it replaces those tools. The value is that it gives Heiken Ashi behavior a more organized oscillator-based expression that can be easier to compare, normalize, and monitor over time.
A few example charts:
Indicator
AG Pro Chaikin Money Flow Pressure [AGPro Series]AG Pro Chaikin Money Flow Pressure
Overview / What it does
AG Pro Chaikin Money Flow Pressure is a chart-overlay indicator built to translate Chaikin Money Flow behavior into a more structured view of buying and selling pressure on the price chart itself. Instead of presenting CMF only as a standalone oscillator around a zero line, this script converts money-flow behavior into visible pressure zones, a backbone line, selective event labels, and a compact decision panel. The goal is to make pressure conditions easier to read in context with price rather than in a separate pane.
The script is designed to help users judge whether positive or negative money-flow pressure is merely appearing, becoming more persistent, expanding with price support, or losing quality. In practical terms, it focuses on how pressure behaves through time, not only on whether CMF is above or below zero on a single bar. This distinction is important because many CMF readings are technically positive or negative while still being structurally weak, transitional, or unstable.
This publication is an indicator, not a strategy. It does not place orders, does not simulate broker execution, and does not claim to predict future price direction. Its purpose is to organize CMF-derived pressure information into a chart-readable framework that can be used for analysis, filtering, or confluence with a user’s existing process.
Unique Edge
The distinctive design choice in this script is that it treats Chaikin Money Flow as a pressure-structure input rather than as a simple zero-cross oscillator. The script evaluates pressure using a combination of directional bias, persistence, slope behavior, and exhaustion characteristics, then maps those conditions into an overlay format.
That makes it materially different from tools that focus primarily on:
- classic CMF zero-line interpretation,
- MFI-style overbought/oversold framing,
- OBV-style cumulative flow interpretation,
- divergence-first logic,
- or trend/momentum tools that derive most of their signal from price structure rather than money-flow persistence.
Within the broader AG Pro catalog, some scripts are centered on momentum, reaction quality, divergence behavior, or trend-state interpretation. This one is specifically built around CMF-derived pressure persistence. In other words, it is less about identifying a single trigger event and more about showing whether accumulation or distribution pressure is building, holding, fading, or reverting toward balance.
Methodology
The script begins with the standard Chaikin Money Flow foundation: money flow is derived from the close’s location within the bar range and weighted by volume across the selected CMF lookback. That raw series can then be smoothed to reduce short-term noise.
From there, the script classifies pressure through several layers:
1) Bias
Positive and negative CMF conditions establish the directional pressure side. This is the base layer, but it is not used alone.
2) Persistence
The script tracks how long positive or negative pressure has been maintained. Short-lived readings are treated differently from more persistent runs.
3) Expansion
The slope of the smoothed CMF series helps distinguish strengthening pressure from flatter or compressing conditions.
4) Exhaustion risk
When pressure remains extended but begins to weaken internally, the script can shift into a fading or exhaustion-sensitive interpretation instead of treating every positive or negative reading as equally strong.
These components are then summarized into:
- a state,
- a phase,
- a pressure score,
- a backbone-based pressure map,
- and selective event labels.
The overlay uses an EMA backbone and ATR-scaled zones to visualize where pressure is concentrated around price. Outer and core zones help separate broad pressure environment from tighter pressure concentration. A lightweight bridge effect is used to connect confirmed pressure conditions to price in a restrained way so the visual hierarchy remains readable.
Signals & Alerts
The script uses a state/condition framework rather than a direct buy/sell promise.
Core states include:
- Accumulation
- Distribution
- Balanced
- Exhaustion Risk
Phase interpretation includes:
- Building
- Holding
- Fading
- Neutral
Selective chart labels are intentionally limited to higher-quality transitions such as:
- ACCUM
- DIST
- FADE
- FLIP
Available alert conditions are designed around pressure behavior, not outcome guarantees:
- Pressure Building
- Pressure Holding
- Pressure Weakening
- Pressure Flip Risk
- Accumulation Regime Confirmed
- Distribution Regime Confirmed
These alerts are best understood as structural notifications about pressure behavior. They are not instructions to enter or exit positions by themselves.
Key Inputs
Important settings include:
- CMF Length: controls the main money-flow lookback.
- CMF Smoothing: reduces noise in the base CMF series.
- Neutral Band: defines when pressure is treated as balanced rather than directional.
- Strong Pressure Band: helps scale the pressure score and zone intensity.
- Exhaustion Band: helps identify stretched but weakening pressure conditions.
- Persistence Confirmation Bars: sets how long pressure should persist before confirmation.
- Backbone EMA Length: controls the central overlay structure.
- ATR settings: control the width of the pressure zones.
- Label filters and cooldowns: reduce repeated labels and keep the chart cleaner.
These inputs allow users to make the script more responsive or more selective depending on timeframe, asset behavior, and chart density.
Limitations & Transparency
This script does not measure real order-book flow, exchange-specific footprint data, or trade-by-trade delta. It is a CMF-based analytical model built from OHLCV data available on PulseWire. As with any derived indicator, its output depends on the quality and characteristics of the underlying market data.
The pressure score is not a prediction score and should not be interpreted as a probability of success. It is a normalized summary of current pressure quality based on the script’s internal framework. A higher score means the current pressure structure is stronger by the script’s rules; it does not mean the next move is guaranteed.
Like other pressure or flow-based tools, this script can become less reliable in choppy, thin, or event-driven conditions where pressure quickly alternates and persistence breaks down. It should also be expected that different assets and timeframes will respond differently to the same parameter set. Users should evaluate settings in the market context where they intend to use the indicator.
This publication is meant to explain what the script measures and how it organizes that information. It is not presented as a black-box promise, and it is not intended to replace independent chart reading, risk control, or broader market context.
Risk Disclosure
This script is provided for educational and analytical use. It does not constitute financial advice, investment advice, or a solicitation to buy or sell any financial instrument. No indicator can remove uncertainty from markets, and no visual state, score, zone, or alert should be treated as a guarantee of future results.
Users should make their own decisions, test their own process, and apply appropriate risk management. This tool is best used as a structured market-reading aid and as part of a broader analytical framework rather than as a standalone decision engine. Indicator
AG Pro DMI Rotation Pressure [AGPro Series]AG Pro DMI Rotation Pressure
Overview / What it does
AG Pro DMI Rotation Pressure is designed to track directional leadership shifts between +DI and -DI rather than treating DMI as a simple trend-strength confirmation tool. The script focuses on which side is gaining control, how decisively that control is expanding, and whether the current condition reflects rotation, compression, drift, or established directional pressure.
The indicator is plotted in a separate pane so the rotational structure can be read clearly without interfering with price structure on the main chart. It combines a net pressure histogram, a pressure signal line, DI spread behavior, rotation bursts, and compression tension into one framework intended to make directional handoffs easier to interpret.
This script is intentionally different from strength-oriented DMI or ADX studies. In many DMI-based tools, ADX becomes the main story. Here, ADX is only a supporting context value. The primary objective is to monitor the push-and-pull between +DI and -DI, especially when leadership is unstable, when pressure begins to build after compression, or when one side starts to hold directional control more consistently.
For traders who want to study internal directional pressure before or during trend development, this script is built to highlight control transitions rather than just reporting whether a trend is already strong.
Unique Edge
The distinctive feature of this script is its emphasis on rotational pressure instead of trend-strength ranking. Rather than asking only whether the market is strong, it asks which side is taking control, whether that control is improving or fading, and whether a transition is underway.
This produces a different read from a standard ADX workflow. A market can have moderate ADX and still show meaningful bullish or bearish pressure transfer through the behavior of +DI and -DI. Conversely, a market may print elevated ADX while the directional leadership structure is already weakening or becoming unstable. By separating directional leadership from raw strength, the script aims to expose the internal character of the move more clearly.
The script also classifies the environment into readable states such as Bull Rotation, Bear Rotation, Bull Control, Bear Control, Bull Expansion, Bear Expansion, Bull Drift, Bear Drift, and Compression Battle. That state engine is meant to reduce ambiguity and make the pane easier to interpret quickly across multiple symbols and timeframes.
Methodology
The script begins with the DMI framework: +DI, -DI, and ADX. From there, it derives a rotational model built around DI spread and spread behavior over time.
1. DI leadership
The core directional read is the spread between +DI and -DI. Positive spread means bullish directional leadership. Negative spread means bearish directional leadership. The magnitude of that spread is used as one layer of directional pressure assessment.
2. Rotational slope behavior
The script evaluates how +DI and -DI are changing, not only their absolute values. This helps estimate whether one side is accelerating relative to the other. Slope behavior is important because leadership transitions often begin before a large DI spread is fully established.
3. Pressure scoring
Bullish and bearish pressure are scored separately using DI spread, relative slope behavior, and spread momentum. This creates the Bull / Bear pressure readings shown in the panel, as well as the Net Pressure histogram in the pane.
4. Signal smoothing
A pressure signal line is applied to the net pressure series to make pressure drift and bias easier to read. This is not intended as a prediction line. It is a smoothing layer that helps frame whether the dominant side is strengthening, fading, or remaining relatively stable.
5. Rotation bursts
Crossovers between +DI and -DI are treated as potential rotational events. The script scores those events so that rotation markers are tied to directional handoff rather than appearing as purely cosmetic crossover labels.
6. Compression and tension
When DI spread contracts below the compression threshold, the script evaluates internal tension. This is useful because some of the most meaningful directional expansions begin after a compressed and contested leadership state. Compression Battle is meant to identify that contested environment, not to forecast direction by itself.
7. State engine
The script assigns a readable state based on pressure, spread, crossover status, and compression context. This is what allows the study to describe the environment as rotation, control, expansion, drift, or compression instead of leaving the user to infer all conditions from raw lines alone.
Signals & Alerts
The script includes deterministic alert conditions for the following events:
Bull Rotation
Triggered when +DI crosses above -DI and bullish directional rotation takes control.
Bear Rotation
Triggered when +DI crosses below -DI and bearish directional rotation takes control.
Bull Control
Triggered when bullish pressure is in control territory.
Bear Control
Triggered when bearish pressure is in control territory.
Compression Battle
Triggered when DI spread is compressed while internal tension is elevated.
These conditions are designed to describe state changes inside the DMI structure. They should be used as analytical events, not as automatic trade instructions.
Key Inputs
DI Length
Controls the base DMI sensitivity.
ADX Smoothing
Adjusts the ADX smoothing component used for contextual strength reading.
Rotation Slope Smoothing
Changes how quickly slope-based rotational behavior reacts.
Pressure Signal Length
Controls smoothing of the net pressure signal.
Compression Threshold
Defines when DI spread is considered compressed.
Expansion Threshold
Defines when directional pressure begins to qualify as expansion.
Control Threshold
Defines when directional pressure is strong enough to be treated as control.
Visual controls
Backgrounds, spread fill, rotation markers, panel theme, panel position, and panel font size can all be adjusted depending on the chart style and workspace preference.
Limitations & Transparency
This script is not a forecasting model. It does not know future direction and it does not attempt to predict exact reversal points. It is a structural pressure tool built from DMI behavior.
Like all DMI-based studies, it can become noisy in highly erratic or mean-reverting conditions. Repeated +DI and -DI handoffs may appear during choppy phases, especially on lower timeframes or during indecisive sessions.
Compression readings should not be interpreted as guaranteed breakout setups. Compression only describes a tight directional contest inside the DI structure. Direction still needs confirmation from price behavior, market structure, volatility regime, or other contextual tools.
Bullish or bearish control states do not guarantee continuation. They only indicate that the directional pressure model currently favors one side. Users should evaluate the output alongside price structure, support/resistance, volume behavior, and timeframe context.
This study is best treated as a directional pressure map, not as a standalone trading system.
Risk Disclosure
This script is for chart analysis and research purposes only. It does not provide financial, investment, or trading advice. Markets involve risk, and indicator-based decisions can result in losses. Always use independent judgment, confirm with broader market context, and apply appropriate risk management.
Indicator
AG Pro Volume Delta Imbalance Map [AGPro Series]AG Pro Volume Delta Imbalance Map
OVERVIEW / WHAT IT DOES
AG Pro Volume Delta Imbalance Map is an overlay-style volume pressure tool designed to visualize directional participation asymmetry directly on the price chart. Instead of presenting volume as a standalone histogram or reducing the analysis to a single cumulative line, this script maps estimated directional imbalance into a chart-native structure built around a basis line, a flow spine, and an adaptive ribbon. The result is a cleaner view of whether recent participation is leaning bullish, bearish, or balanced, while keeping the analysis anchored to actual price movement.
The script is built for traders who want a more visual interpretation of directional volume pressure without relying on a separate lower-pane oscillator. The main purpose is not to predict tops, bottoms, or reversals in isolation. Its role is to help users read where directional pressure is expanding, where it is fading, and where the current state remains neutral or low-conviction. By placing the analysis directly on the chart, the script aims to make flow conditions easier to compare with market structure, pullbacks, trend continuation attempts, and local regime shifts.
A key design objective of this script is practical readability. Many volume-based tools either become too abstract for quick chart work or too visually dense to remain useful during live decision-making. Here, the imbalance model is translated into a compact overlay with a smoothed directional spine, a ribbon that adapts to pressure intensity, optional burst labels, optional zone-start labels, and a summary panel that reports the current state, bias, strength, persistence, label mode, and exhaustion condition. This keeps the output interpretable across multiple markets and timeframes without forcing the user to decode a complicated dashboard.
This script should be understood as a directional-volume map, not as a trade automation engine. It is intended to support chart reading, context building, and workflow discipline. It can help highlight when directional participation is broadening, when pressure alignment is improving, or when a previously strong move begins to lose quality. Those observations can then be combined with price structure, support and resistance, volatility context, and the user’s own execution framework.
UNIQUE EDGE
The main differentiator of this script is that it does not approach volume pressure in the same way as classic cumulative-flow or oscillator-style tools. Traditional cumulative tools such as OBV compress volume behavior into a running line, while money-flow oscillators often frame the analysis around momentum-style expansion and contraction in a lower pane. AG Pro Volume Delta Imbalance Map takes a different route: it transforms estimated directional pressure into an on-chart flow structure that is designed to be read alongside candles, pullbacks, transitions, and continuation attempts.
Another differentiating element is the emphasis on flow state rather than raw volume magnitude alone. The script is not simply asking whether volume is high or low. It is asking whether directional participation is leaning to one side strongly enough to create an interpretable imbalance state, whether that pressure is stabilizing or intensifying, and whether that condition is durable enough to remain relevant across several bars. This creates a more structural view of participation rather than a purely reactive one.
The visual architecture is also intentionally distinct. The flow ribbon is not only cosmetic. It is designed to express directional pressure breadth around the spine, while the spine itself provides a simpler anchor for the prevailing flow direction. Optional labels then mark either stronger burst moments or the beginning of a new directional zone, depending on user preference. This allows the script to serve different chart-reading styles without changing the core methodology.
Finally, transparency matters. This script does not claim to be a true bid/ask footprint, a tape-reading engine, or an exact institutional order-flow detector. It uses an estimated directional-volume proxy derived from price-location and candle-structure behavior. That distinction is important. The objective is to provide a disciplined, readable directional-pressure framework within the constraints of standard chart data, not to imply access to information the script does not use.
METHODOLOGY
The model begins with a directional-pressure proxy built from three components: close location within the bar, candle body dominance relative to the full range, and directional sign reinforcement from candle structure. These inputs are blended into a bounded hybrid bias value intended to estimate whether recent volume participation was more likely to have leaned bullish or bearish within the bar. That estimate is then scaled by the bar’s volume to produce directional volume estimates and a delta-style imbalance reading.
The raw imbalance is normalized using a volume baseline so that the output remains more comparable across changing participation environments. The normalized value is then smoothed to reduce excessive noise and to create a more usable state engine. From there, bullish, bearish, and balanced conditions are determined through explicit thresholds. This means the displayed state is not arbitrary. It is driven by a consistent threshold structure that helps separate neutral conditions from more meaningful directional pressure.
The chart overlay is built around three visual elements. First, a basis line offers a stable reference. Second, the flow spine tracks the smoothed imbalance state translated onto price space. Third, an adaptive ribbon expands or contracts around the spine based on imbalance strength, which helps communicate whether directional participation is broadening or losing intensity. Together, these components aim to make flow conditions visible without overwhelming the chart.
The script also tracks persistence and a simplified exhaustion heuristic. Persistence reflects how long the current directional state has remained in force, while exhaustion attempts to highlight cases where imbalance remains strong but starts to weaken while price response underperforms. This is not a reversal guarantee. It is a contextual warning that a previously forceful participation state may be losing efficiency.
SIGNALS & ALERTS
The script can label directional events in two different styles. In Burst Labels mode, labels are reserved for stronger acceleration moments inside an existing directional condition. In Zone Start Labels mode, labels are printed when a new directional zone begins. This distinction matters because some traders prefer confirmation after pressure expansion, while others prefer earlier visual markers at the start of a state change.
Bullish and bearish imbalance burst alerts are available for users who want notification when directional pressure expands beyond the relevant threshold. These alerts are best interpreted as flow acceleration events, not standalone entry signals. In practice, many users will prefer to combine them with local structure, pullback quality, reclaim behavior, or continuation context.
The script also includes bias reversal alerts and imbalance strength expansion alerts. These are useful for monitoring whether a previously balanced or opposing environment is transitioning into a new directional condition, or whether an already active imbalance is strengthening enough to deserve attention. The summary panel helps reinforce these changes by showing state, bias, strength, persistence, label mode, and exhaustion status in a compact format.
A separate exhaustion-risk alert is provided for conditions where the model detects that a strong imbalance may be fading in quality. This should be interpreted as a caution flag, not as a direct call to reverse or exit automatically. In many workflows, it is more useful as a prompt to reassess the context, tighten risk discipline, or watch for weakening continuation quality.
KEY INPUTS
Normalization Lookback controls the volume baseline used in the imbalance normalization process. Larger values can stabilize the model, while smaller values can make the output more reactive. Imbalance Smoothing influences how quickly the directional state responds to changing pressure. Shorter smoothing reacts faster but may increase noise, while longer smoothing can improve stability at the cost of responsiveness.
Map Basis EMA Length affects the visual anchor used for the overlay. ATR Length and Spine ATR Multiplier influence how the spine is translated into price space and how the ribbon behaves around it. Flow Ribbon Width controls the breadth of the visible pressure corridor, while Bull Flow Width Boost allows the bullish side to be widened slightly for visual emphasis when appropriate.
Bullish and Bearish Imbalance Thresholds define when the script considers directional pressure strong enough to move out of the balanced state. Burst Threshold determines when the model treats a move as a more meaningful acceleration event. Extreme Threshold contributes to the exhaustion logic and strength classification. Users can also choose whether labels represent burst moments or zone starts, depending on how early or selective they want the chart annotations to be.
Visual controls allow users to show or hide the basis line, flow ribbon, spine glow, backdrop, burst labels, exhaustion labels, spine tag, and panel. Panel position, panel theme, text sizing, label sizing, and offset controls are included so that the script can be adapted to different chart layouts and personal reading preferences without changing the underlying methodology.
LIMITATIONS & TRANSPARENCY
This script uses an estimated directional-volume model. It does not use order-book data, footprint data, bid/ask tape data, or exchange-level aggressor classification. As a result, the displayed imbalance should be understood as a chart-based directional proxy, not as an exact measurement of true traded delta.
Because the model relies on price-location and candle-structure inputs, the output can behave differently across instruments with different volatility profiles, gap behavior, liquidity conditions, and session structures. It is normal for a setting that looks well balanced on one asset or timeframe to require refinement on another. Users should expect to tune thresholds and visual parameters when moving between markets.
Signals and labels are contextual. A bullish label inside a weak range environment does not carry the same meaning as a bullish label that appears after a reclaim, a pullback stabilization, or a clean continuation structure. Likewise, a bearish label during highly erratic volatility may be less reliable than a similar reading inside a smoother directional sequence. The script is designed to assist interpretation, not to replace it.
No single output from this script should be treated as a guaranteed trade trigger, reversal call, or risk-management rule. The panel, ribbon, spine, and labels are tools for reading participation conditions. They are most useful when integrated with broader chart context, including trend structure, invalidation logic, nearby levels, liquidity conditions, and the user’s own process.
RISK DISCLOSURE
This script is for chart analysis and educational use. It does not provide financial advice, portfolio advice, or guaranteed trade outcomes. All trading and investing involve risk, including the risk of loss. Past market behavior and prior indicator responses do not guarantee future results.
Users remain fully responsible for how they interpret and apply the script. Any signal, label, or state reading should be evaluated within a complete decision process that includes market context, risk definition, and position management. This script should not be used as the sole basis for entering, exiting, or sizing a trade.
If you use this tool in live market conditions, it is sensible to test it across different assets and timeframes and to confirm that its behavior matches your own execution logic before relying on it in a real-money workflow. Indicator
AG Pro ADX Trend Pressure [AGPro Series]AG Pro ADX Trend Pressure
Overview / What it does
AG Pro ADX Trend Pressure is an overlay indicator that reframes ADX from a simple trend-strength reading into a pressure-state model. Instead of asking only whether ADX is high or low, the script evaluates how directional pressure is building, persisting, fading, or transitioning. The goal is to make ADX-based information easier to interpret directly on the price chart.
This script is designed for traders who want more structure than a standard ADX line, but without turning the chart into a fully automated signal engine. It combines ADX behavior, DI dominance, persistence, and cooling behavior into a state-driven visual framework. The result is a chart-first tool that emphasizes current pressure conditions rather than isolated threshold events.
The indicator uses a compact pressure ribbon, state labels, background zones, and a summary panel to show whether the market is in Compression, Early Expansion, Bull Pressure, Bear Pressure, Exhaustion, or Transition. These states are not predictions. They are structured interpretations of directional pressure conditions based on the current and recent bar sequence.
Because the script is plotted directly on the chart, it is intended to help with visual context, workflow organization, and directional reading. It can be used as a companion layer for discretionary analysis, structure work, trend continuation review, or pressure-fading observation.
Unique Edge
The main distinction of this script is that it does not present ADX as a standalone oscillator. Instead, it treats ADX as one component inside a broader pressure-state engine.
Its core difference is the shift from:
- “ADX is high or low”
to:
- “directional pressure is building”
- “directional pressure is confirmed”
- “pressure is cooling”
- “dominance is fading”
- “state transition risk is rising”
That distinction matters because many ADX-based tools stop at strength confirmation. This script tries to describe the condition around that strength: whether it is forming, maturing, weakening, or rotating.
Methodology
The script is built around a composite pressure score derived from several internal components:
1) ADX level
The script evaluates the current ADX value as a measure of directional strength participation.
2) ADX slope
It also measures whether ADX is accelerating or decelerating. This helps distinguish between pressure expansion and pressure cooling.
3) DI dominance
The spread between +DI and -DI is used to determine whether one side is meaningfully dominant, rather than merely fluctuating.
4) Persistence
Directional pressure becomes more meaningful when dominance remains intact across multiple bars. The script therefore normalizes persistence and includes it in the state logic.
5) Cooling behavior
The model penalizes conditions where momentum of pressure is fading, DI separation is shrinking, or a prior strong phase is losing quality.
These components are blended into a normalized pressure score and then interpreted through rule-based state conditions.
Pressure States
Compression
Used when ADX is relatively weak, DI separation is limited, and the directional structure is not sufficiently active.
Early Expansion
Used when pressure begins to build but has not yet qualified as confirmed directional pressure.
Bull Pressure
Used when bullish directional dominance is active and the pressure score is strong enough to confirm a bullish pressure phase.
Bear Pressure
Used when bearish directional dominance is active and the pressure score is strong enough to confirm a bearish pressure phase.
Exhaustion
Used when a previously strong pressure phase begins to cool materially and loses quality without yet becoming a clean opposite pressure phase.
Transition
Used when dominance quality deteriorates, directional structure rotates, or the market appears to be moving between pressure states.
Visual Structure
The script uses several chart elements to organize the pressure reading:
Pressure Ribbon
A compact ribbon below price summarizes the active pressure state without requiring a separate pane.
Pressure Curve
The center curve makes the pressure structure easier to read visually and helps distinguish calm phases from active directional phases.
State Labels
Labels appear only on state changes, helping reduce repeated label noise while still marking meaningful transitions.
Background Zones
Optional background zones provide broader regime context for stronger phases.
Summary Panel
The panel reports:
- State
- Pressure Score
- Directional Bias
- Pressure Phase
- Persistence
- Cooling Risk
These fields are intended to help the user interpret the current environment quickly without depending on a single line crossing or a single fixed threshold.
How to use it
This indicator is best used as a contextual tool rather than a standalone trade trigger.
Examples of practical use:
- Identify when a directional move is only beginning to organize
- Separate confirmed pressure from weak expansion
- Observe when a mature pressure phase begins to cool
- Spot when directional quality is fading into transition
- Add structure to trend-following or pullback workflows
Some users may prefer to read Bull Pressure and Bear Pressure as confirmation states, while using Early Expansion and Transition as cautionary context. Others may use Exhaustion to review whether a strong move is beginning to lose internal quality. The script does not enforce a single interpretation model.
Signals & Alerts
The script includes deterministic alert conditions for:
- Bullish Pressure Building
- Bearish Pressure Building
- Pressure State Shift
- Pressure Cooling
- Transition Risk Rising
These alerts are state-based notifications. They are not promises of continuation, reversal, or outcome. Their purpose is to notify the user that the internal pressure regime has changed according to the script’s rules.
Key Inputs
ADX Length
Controls the primary ADX and DMI calculation length.
DI Smoothing
Applies smoothing to directional movement components before pressure analysis.
Pressure Threshold
Sets the score level required before directional pressure can be confirmed.
Neutral ADX Threshold
Defines the area where the script becomes more willing to classify conditions as compression instead of directional pressure.
Cooling Sensitivity
Controls how quickly the script responds to deteriorating pressure structure.
Transition Sensitivity
Controls how readily the script recognizes potential regime rotation or dominance loss.
Persistence Length
Defines how persistence is normalized in the internal score model.
Minimum DI Gap
Sets the minimum meaningful separation between +DI and -DI.
Curve Smooth Length
Adjusts how smooth or reactive the pressure drawing appears on the chart.
Visual Controls
The script also includes display settings for:
- Pressure Ribbon
- Pressure Curve
- Active Pressure Spotlight
- Background Zones
- State Labels
- Label Size
- Panel Theme
- Panel Font Size
- Panel Position
Limitations & Transparency
This script is not a prediction model.
It does not forecast future price direction.
It does not guarantee trend continuation.
It does not guarantee reversal timing.
It does not replace risk management.
Like all state-based indicators, it can respond differently depending on volatility regime, market structure, timeframe, and instrument behavior. Strong trends, choppy ranges, and abrupt news-driven moves may produce very different state sequences.
The pressure score is an internal composite reading. It should not be interpreted as a universal probability measure. A score of 70 does not mean a 70 percent chance of success. It only means the current internal pressure components are stronger than they were in lower-score conditions.
Users should also be aware that background context and label placement are visual aids. The most important output is not the label itself, but the broader relationship between state, pressure score, bias, and how the curve behaves through time.
Who this script may be useful for
This script may be useful for traders who:
- already use ADX or DMI and want more chart context
- want a state-based trend pressure overlay
- prefer workflow tools over one-click signal tools
- want a compact visual reading of directional pressure behavior
It may be less suitable for users looking for a pure oscillator pane, a fully automated strategy, or a single-entry single-exit signal framework.
Risk Disclosure
This indicator is for chart analysis and workflow support only.
It is not financial advice.
It should not be treated as a standalone trade instruction.
Markets are risky, and no indicator can eliminate uncertainty.
Use independent judgment, confirm with your own process, and apply risk management appropriate to your market and timeframe.
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