Gold inverse corelationThis indicator shows inverse corelation between Gold and it's inverse corelators
Indicator
Pressure
AG Pro RSI Pressure Map [AGPro Series]AG Pro RSI Pressure Map
OVERVIEW
AG Pro RSI Pressure Map is an overlay indicator that interprets RSI behavior as directional pressure on price rather than presenting RSI as a standalone oscillator panel. The script maps bullish and bearish pressure conditions directly on the chart, highlights confirmed pressure builds, and separates those states from release conditions and internal weakening.
The goal is not to repeat standard RSI threshold usage such as simple overbought/oversold signals. Instead, this script translates RSI persistence, slope, trend alignment, and price response efficiency into a chart-based pressure model. The result is a structure-aware visual framework that helps users evaluate whether momentum is building, fading, or attempting to reassert itself.
This tool is designed for traders who prefer price-chart context over isolated oscillator readings. By keeping the logic on the main chart, it becomes easier to observe how directional pressure develops around swings, pullbacks, transitions, and continuation attempts.
UNIQUE EDGE
The distinctive idea behind this script is that RSI is not treated here as a one-line trigger engine. Instead, RSI is used as a pressure input inside a multi-step state model. A bullish or bearish condition is not activated by a single threshold alone. It requires a combination of persistence, slope, trend-side alignment, and minimum response quality.
That makes this script structurally different from conventional RSI overlays or threshold markers. It does not simply mark every move above or below a level. It attempts to identify whether price is actually behaving like a pressure phase, whether that phase lasts long enough to matter, and whether the move later transitions into a release or a weakening sequence.
Another important distinction is the use of zone persistence and signal spacing. Short-lived fluctuations are filtered by minimum zone duration, paint delay, cooldown spacing, and failure-lock logic. This helps reduce repetitive chart clutter and keeps the output more focused on pressure phases that remain contextually relevant for more than a single bar.
WHAT THE SCRIPT DOES
This indicator classifies chart behavior into a small number of practical states:
- Bullish Pressure
- Bearish Pressure
- Bullish Release
- Bearish Release
- Pressure Failure
- No Active Zone
Pressure zones are displayed as soft background states once a valid zone remains active long enough to pass the paint delay requirement. Signal markers and optional labels identify important transitions, including new pressure builds and release conditions. A panel summarizes the current state so users can quickly read the broader condition without scanning every marker.
The script is intended to help with context and organization. It is not limited to trend continuation use only. It can also help identify when an apparent move is weakening internally or when a previous stretch phase may be transitioning into a more constructive re-engagement.
METHODOLOGY
The script combines several components into a single state engine:
1. RSI baseline calculation
RSI is calculated from user-defined length and can optionally be smoothed. This creates the base momentum input for the pressure model.
2. RSI slope and persistence
The script evaluates whether RSI is rising or falling, and whether that direction persists across a configurable lookback window. This helps distinguish stable directional pressure from one-bar fluctuation.
3. Trend alignment
Price is compared against a trend EMA so the script can evaluate whether a pressure condition is aligned with the prevailing side of the market. This reduces cases where RSI alone may look strong while price structure remains inconsistent.
4. Price response efficiency
The model checks whether recent price movement is meaningful relative to ATR. This is used to filter low-quality pressure states where RSI movement exists but price response is weak.
5. Zone state logic
A bullish or bearish pressure state is only activated when the required conditions are present and remains active until exit logic invalidates it. Minimum zone duration and flat cooldown logic are used to reduce rapid state flipping.
6. Release logic
Release conditions are derived from pressure transitions that also satisfy contextual requirements such as recent stretch history and price-side confirmation. This is meant to make release signals more selective than ordinary threshold crosses.
7. Failure logic
The script can detect internal weakening inside an active zone when slope deteriorates and response quality drops. Failure-lock behavior is used to avoid excessive repetition inside the same pressure phase.
Because the model works through a state engine rather than isolated threshold events, the output is better understood as a pressure map than as a classical oscillator trigger set.
SIGNALS AND ALERTS
The script provides the following event types:
- Bullish Pressure Build
- Bearish Pressure Build
- Bullish Release Confirmed
- Bearish Release Confirmed
- Pressure Failure
These alerts are meant to notify users about state transitions, not to replace trade planning or execution rules. A pressure build does not automatically imply continuation. A release does not guarantee reversal or acceleration. A failure does not guarantee collapse. Each event is best interpreted in the context of structure, liquidity, volatility, and timeframe.
KEY INPUTS
RSI Length
Controls the base RSI period.
RSI Smoothing
Applies optional smoothing to RSI before state evaluation.
Trend EMA Length
Defines the trend alignment reference.
Persistence Lookback / Minimum Persistence Count
Control how stable RSI direction must be before a pressure state becomes valid.
Bull Entry RSI / Bear Entry RSI
Set the activation thresholds for bullish and bearish pressure.
Bull Exit RSI / Bear Exit RSI
Define when active pressure zones can terminate.
Minimum Push Efficiency
Filters low-quality states where RSI movement is not supported by sufficient price response.
Release Lookback
Controls how far back the script checks for recent stretch context before validating release behavior.
Minimum Zone Bars / Flat Cooldown Bars
Reduce rapid flip behavior and help pressure zones remain more stable.
Zone Paint Delay
Prevents immediate background painting on very early bars of a new zone.
Build Label Offset / Release Label Offset / Failure Label Offset
Allow spacing between labels and candles for cleaner presentation.
Build Label Minimum Gap Bars / Release Label Minimum Gap Bars
Reduce repeated labels on the same side and improve chart readability.
HOW TO READ IT
A bullish pressure zone means the script currently sees persistent bullish-side momentum that remains aligned with trend-side conditions and minimum response requirements. A bearish pressure zone means the same on the downside.
A bullish release is not simply “bullish RSI.” It represents a more selective re-engagement condition built on prior context. The bearish release follows the same idea in reverse.
A pressure failure suggests that the active zone may be weakening internally. This is not a standalone reversal call. It is a cautionary state that says the current pressure phase is losing quality.
The panel should be read as a summary layer:
- RSI State shows the active state classification
- Pressure Bias shows the normalized directional bias
- Stretch Status shows whether RSI is in an extreme region
- Structure Align shows whether price and RSI are aligned
- Signal State shows the latest meaningful state event
LIMITATIONS AND TRANSPARENCY
This script is not a prediction engine and should not be interpreted as one. It is a state-classification tool built from RSI behavior, EMA alignment, ATR-normalized response, and rule-based persistence logic.
Like all chart tools, it is sensitive to timeframe selection, volatility regime, and market structure. A setting combination that feels appropriate on one symbol or timeframe may be too loose or too strict on another.
The script also does not solve broader market context. It does not evaluate macro conditions, volume profile, order flow, news, or execution quality. Users should treat it as a chart-organization tool, not as a complete trading framework.
The output is intentionally selective, but any filter system involves trade-offs. More filtering may reduce noise while also delaying some transitions. Less filtering may make the script more responsive while increasing signal density.
This indicator should be used as a supporting layer for chart reading, not as a substitute for risk management, independent analysis, or confirmation from the user’s own process.
WHAT THIS SCRIPT IS NOT
- Not a basic RSI overbought/oversold marker set
- Not a simple RSI 50-line crossover script
- Not a buy/sell guarantee system
- Not a replacement for execution rules
- Not a full strategy with entries, exits, and sizing logic
It is a rule-based pressure mapping tool designed to help visualize directional momentum states on price.
RISK DISCLOSURE
This indicator is for analysis and chart interpretation only. It does not provide financial advice, investment advice, or guaranteed outcomes. All trading involves risk, including the risk of loss. Users should test settings, validate behavior on their own markets and timeframes, and make independent decisions based on their own methodology and risk tolerance.
Indicator
Momentum Pressure Gauge [JOAT] Momentum Pressure Gauge
Introduction
The Momentum Pressure Gauge is an advanced institutional-grade analysis tool designed to measure the underlying buying and selling pressure that drives market movements. This indicator goes beyond simple momentum oscillators by quantifying the actual pressure differential between buyers and sellers, incorporating volume analysis, detecting divergences, and identifying when momentum is reaching extreme levels. Understanding pressure and momentum is crucial because price often follows pressure - by measuring the force behind price movements, traders can anticipate future direction with greater confidence.
This tool is built for traders who understand that markets are driven by the constant battle between buyers and sellers, and that the outcome of this battle is reflected in pressure and momentum patterns. Whether you're a day trader timing entries with precision, a swing trader identifying trend strength, or a position trader spotting major reversals, this gauge provides the sophisticated pressure analysis needed to trade with the dominant force rather than against it.
Why This Indicator Exists
Most traders use basic momentum indicators without understanding the underlying pressure dynamics or volume participation. This indicator addresses that limitation by:
Pressure Analysis: Measures actual buying/selling pressure in each bar
Volume Weighting: Incorporates volume to confirm pressure significance
Momentum Scoring: Provides composite momentum scores with multiple factors
Divergence Detection: Identifies price/momentum divergences for early reversal signals
Extreme Zone Identification: Flags overbought/oversold conditions with pressure context
Energy Wave Analysis: Combines pressure with volume and price energy
The gauge transforms abstract momentum concepts into concrete pressure measurements that reveal the true force behind market movements.
Core Components Explained
1. Raw Pressure Calculation
The indicator measures buying and selling pressure in each bar:
// Raw buying/selling pressure
f_pressure_raw() =>
float range_val = high - low
float buy_pressure = range_val > 0 ? (close - low) / range_val : 0.5
float sell_pressure = range_val > 0 ? (high - close) / range_val : 0.5
// Apply smoothing
float pressure_ratio = ta.ema(raw_buy, i_pressure_len)
float pressure_smooth = ta.ema(pressure_ratio, i_smooth_len)
Pressure components:
Buy Pressure: Where price closed within the bar's range (0-1)
Sell Pressure: Complementary sell pressure (0-1)
Pressure Ratio: Buy pressure as a ratio
Smoothing: EMA smoothing for cleaner signals
Range Normalization: Pressure relative to bar's range
Pressure above 0.5 indicates buying dominance, below 0.5 indicates selling dominance.
2. Volume-Weighted Pressure
Volume analysis confirms the significance of pressure:
// Volume relative strength
float vol_sma = ta.sma(volume, i_pressure_len)
float vol_ratio = vol_sma > 0 ? volume / vol_sma : 1.0
float vol_weight = math.min(vol_ratio, 3.0) / 3.0 // Cap at 3x average
// Volume-weighted pressure
float vw_pressure = pressure_smooth * (0.7 + vol_weight * 0.3)
// Cumulative pressure
float cum_pressure = ta.sma(raw_buy, i_pressure_len) - 0.5 // Centered at 0
Volume features:
Volume Ratio: Current volume relative to average
Volume Weight: Normalized volume influence (0-1)
VW Pressure: Pressure adjusted for volume participation
Cumulative Pressure: Running pressure average
Volume Cap: Prevents extreme volume from distorting signals
High volume confirms pressure significance, while low volume questions its reliability.
3. Momentum Analysis
Multiple momentum factors are combined for comprehensive analysis:
// Pressure momentum (rate of change)
float pressure_momentum = pressure_smooth - pressure_smooth
// Pressure acceleration
float pressure_accel = pressure_momentum - pressure_momentum
// Composite pressure score (-100 to +100)
float composite_score = (pressure_smooth - 0.5) * 200
// Momentum-adjusted score
float momentum_adjustment = pressure_momentum * 100
float adjusted_score = composite_score + momentum_adjustment * 0.3
Momentum components:
Pressure Momentum: Rate of change in pressure
Pressure Acceleration: Change in momentum (second derivative)
Composite Score: Normalized pressure score (-100 to +100)
Momentum Adjustment: Score adjusted for momentum
Acceleration Detection: Identifies momentum shifts
Momentum analysis reveals not just current pressure but its direction and acceleration.
4. WaveTrend Integration
The WaveTrend oscillator adds an additional momentum layer:
f_wavetrend(int channel_len, int avg_len) =>
float ap = hlc3
float esa = ta.ema(ap, channel_len)
float d = ta.ema(math.abs(ap - esa), channel_len)
float ci = d > 0 ? (ap - esa) / (0.015 * d) : 0.0
float wt1_local = ta.ema(ci, avg_len)
float wt2_local = ta.sma(wt1_local, 4)
// WaveTrend signals
bool wt_bullish = wt1 > wt2 and wt1 > wt1
bool wt_bearish = wt1 < wt2 and wt1 < wt1
bool wt_oversold = wt1 < -60
bool wt_overbought = wt1 > 60
WaveTrend features:
WT1/WT2 Lines: Fast and slow WaveTrend lines
Cross Signals: Line crossovers for momentum changes
Extreme Levels: Overbought (>60) and oversold (<-60)
Trend Confirmation: Line slope for additional confirmation
Integration: Combined with pressure for confluence
WaveTrend provides an independent momentum confirmation.
5. Energy Wave Calculation
The indicator combines multiple energy sources:
// Energy combines pressure momentum with volume energy
float vol_energy = vol_sma > 0 ? (volume - vol_sma) / vol_sma * 100 : 0
float atr_14 = ta.atr(14)
float price_energy = atr_14 > 0 ? (close - open) / atr_14 * 100 : 0
float combined_energy = (pressure_momentum * 100 + vol_energy * 0.3 +
price_energy * 0.2) / 1.5
float energy_smooth = ta.ema(combined_energy, 5)
Energy components:
Volume Energy: Volume deviation from average
Price Energy: Price movement relative to ATR
Pressure Energy: Momentum contribution
Combined Energy: Weighted average of all energies
Energy Smoothing: EMA for cleaner energy signals
Energy waves show the underlying power driving market movements.
6. Divergence Detection
The indicator identifies price/momentum divergences:
// Price direction
float price_change = close - close
int price_dir = price_change > 0 ? 1 : price_change < 0 ? -1 : 0
// Pressure direction
int pressure_dir = pressure_momentum > i_momentum_thresh ? 1 :
pressure_momentum < -i_momentum_thresh ? -1 : 0
// Divergence detection
bool bullish_divergence = price_dir == -1 and pressure_dir == 1
bool bearish_divergence = price_dir == 1 and pressure_dir == -1
Divergence types:
Bullish Divergence: Price falling but pressure rising
Bearish Divergence: Price rising but pressure falling
Hidden Divergence: Continuation patterns
Regular Divergence: Reversal patterns
Threshold Filter: Minimum momentum for valid divergence
Divergences often precede significant price reversals.
7. State Classification System
The indicator classifies market states based on pressure:
// Pressure state
// 2 = extreme buying, 1 = buying, 0 = neutral, -1 = selling, -2 = extreme selling
var int pressure_state = 0
if pressure_smooth >= i_extreme_high
pressure_state := 2
else if pressure_smooth > 0.5 + i_momentum_thresh
pressure_state := 1
else if pressure_smooth <= i_extreme_low
pressure_state := -2
else if pressure_smooth < 0.5 - i_momentum_thresh
pressure_state := -1
// Momentum state
// 1 = accelerating, 0 = steady, -1 = decelerating
var int momentum_state = 0
if pressure_accel > i_momentum_thresh / 2
momentum_state := 1
else if pressure_accel < -i_momentum_thresh / 2
momentum_state := -1
State meanings:
Extreme Buying: Maximum buying pressure (>70%)
Buying: Moderate buying pressure (50-70%)
Neutral: Balanced pressure (40-60%)
Selling: Moderate selling pressure (30-50%)
Extreme Selling: Maximum selling pressure (<30%)
Accelerating: Momentum increasing
Decelerating: Momentum decreasing
State classification provides clear, actionable market conditions.
Visual Elements
Pressure Histogram: Main pressure display with gradient coloring
Multi-Layer Glow: Intensity-based glow effects
Energy Wave: Separate energy visualization
Momentum Line: Momentum rate of change
WaveTrend Lines: Additional momentum confirmation
Divergence Markers: Visual divergence signals
Extreme Zones: Highlighted overbought/oversold areas
Dashboard: Comprehensive metrics panel
Signal Labels: Key event labels with spacing
The dashboard displays:
1. Current pressure state and intensity
2. Momentum state and acceleration
3. Composite score and direction
4. Volume weight and analysis
5. Divergence status and alerts
6. Energy wave readings
7. Confluence quality score
8. WaveTrend status and signals
9. Overall signal strength
Input Parameters
Pressure Settings:
Pressure Period: Pressure calculation period (default: 14)
Smoothing Period: EMA smoothing (default: 5)
Momentum Lookback: Momentum calculation (default: 10)
Thresholds:
Extreme Buying: Maximum buying level (default: 0.7)
Extreme Selling: Maximum selling level (default: 0.3)
Momentum Threshold: Minimum momentum (default: 0.05)
WaveTrend Settings:
Channel Length: WT calculation period (default: 9)
Average Length: WT smoothing period (default: 12)
Enable WT: Toggle WaveTrend on/off
Visual Settings:
Color Scheme: Customizable pressure colors
Glow Effects: Enable visual enhancements
Show Zones: Display extreme zones
Show Labels: Control signal label frequency
How to Use This Indicator
Step 1: Assess Pressure State
Check the dashboard for current pressure state. Extreme states (>70% or <30%) often precede reversals, while moderate states suggest continuation.
Step 2: Analyze Momentum
Look at momentum direction and acceleration. Accelerating momentum in the pressure direction confirms strength, while deceleration warns of potential reversals.
Step 3: Check Volume Confirmation
Ensure pressure is supported by volume. High volume pressure is more reliable than low volume pressure.
Step 4: Watch for Divergences
Divergences are powerful reversal signals. A bullish divergence (price down, pressure up) suggests buying opportunity, while bearish divergence suggests selling.
Step 5: Monitor Energy Waves
Energy waves show the underlying power. Rising energy confirms current pressure, while falling energy suggests weakening.
Step 6: Use Extreme Zones
Extreme buying (>70%) often marks tops, while extreme selling (<30%) often marks bottoms. These are contrarian signals.
Best Practices
Extreme pressure states (>70% or <30%) often precede reversals
Divergences are most reliable at extreme levels
Volume confirmation is essential - pressure without volume is suspect
Momentum acceleration confirms pressure strength
Energy waves provide early warning of momentum shifts
Multiple timeframe analysis improves signal reliability
Combine with trend analysis for optimal results
Use WaveTrend crossovers for additional confirmation
Keep a pressure journal to track patterns
Be patient for the highest quality setups
Trading Applications
Momentum Trading:
Enter when pressure > 60% and accelerating
Add to positions as momentum increases
Exit when pressure decelerates or reverses
Use volume to confirm signal strength
Reversal Trading:
Look for extreme pressure (>70% or <30%)
Wait for divergence confirmation
Enter on first sign of pressure reversal
Target mean reversion to 50% level
Divergence Trading:
Identify clear price/pressure divergences
Confirm with volume and energy analysis
Enter on momentum shift confirmation
Use tight stops due to reversal nature
Strategy Integration
This indicator enhances any trading system:
Use pressure as a trend confirmation filter
Import momentum scores for signal weighting
Apply divergence detection for early warnings
Use extreme zones for contrarian signals
Integrate volume-weighted pressure for confirmation
Export pressure states for custom logic
Technical Implementation
Built with Pine Script v6 featuring:
Advanced pressure calculation with range normalization
Volume-weighted analysis with capping
Multi-factor momentum scoring system
WaveTrend oscillator integration
Energy wave calculation combining multiple sources
Sophisticated divergence detection with thresholds
State classification with multiple dimensions
Multi-layer visualization with glow effects
Real-time dashboard with 10 key metrics
Alert conditions for all major pressure events
The code uses confirmed bars for all calculations to prevent repainting.
Originality Statement
This indicator is original in its comprehensive approach to pressure and momentum analysis. While individual components (RSI, MACD, WaveTrend) are established tools, this indicator is justified because:
It synthesizes pressure analysis with volume weighting for more accurate signals
The energy wave concept combines multiple momentum sources into unified analysis
State classification provides clear, actionable market conditions
Divergence detection includes threshold filtering for higher quality signals
Multi-layer visualization with glow effects enhances readability
The dashboard presents complex pressure dynamics in an accessible format
Volume-weighted pressure adds confirmation often missing from momentum indicators
Acceleration analysis provides early warning of momentum shifts
Export functions enable integration with any trading system
Each component provides unique insights: pressure shows force, volume shows participation, momentum shows direction, energy shows power, and divergence shows potential reversals
The indicator's value lies in measuring the underlying forces that drive price movements rather than just tracking price itself, providing traders with deeper insight into market dynamics and potential future direction.
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. Pressure and momentum analysis is a tool for understanding market forces, not a prediction system.
Pressure and momentum can change suddenly due to news events, economic data, or changes in market sentiment. Extreme pressure states can persist longer than expected, and divergences can fail without warning. The indicator's signals are mathematical calculations based on historical patterns and should be used in conjunction with other forms of analysis.
Always use proper risk management, including stop losses and position sizing appropriate for your account and risk tolerance. Never trade against strong pressure without confirmation - the trend can remain in force longer than your account can survive.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this system.
-Made with passion by officialjackofalltrades
Indicator
Delta Flow Volume Profile [UAlgo]Delta Flow Volume Profile is a price based profile indicator that builds a rolling volume distribution and separates that distribution into bullish and bearish participation at each price zone. Instead of showing only how much total volume traded in an area, the script splits each profile row into buyer dominated and seller dominated segments, then renders those segments side by side on the chart. This creates a more informative profile that helps reveal not only where activity concentrated, but also which side was dominant inside each level.
The indicator runs directly on price ( overlay=true ) and analyzes a user defined lookback window. It divides the recent price range into fixed bins, distributes each candle’s volume across the bins it overlaps, and classifies that allocated volume as bullish or bearish based on candle direction. The final result is drawn to the right of the chart as a horizontal stacked profile where:
The left segment of each row represents bullish volume
The right segment represents bearish volume
The widest total row identifies the Point of Control (POC)
Each significant row can display buyer and seller percentage labels
This makes the script useful for traders who want a profile style map of participation with directional context, especially when identifying areas where buyers were dominant, sellers were dominant, or both sides were highly active.
Important note: The bullish and bearish split in this script is an approximation based on candle direction ( close >= open versus close < open ). It is not true bid ask or tick level order flow delta.
🔹 Features
🔸 1) Delta Style Volume Profile by Price Level
The core idea of the script is to turn a standard horizontal volume profile into a directional participation profile. Each row tracks both bullish and bearish volume, so the user can see whether a price zone was primarily buyer controlled, seller controlled, or relatively balanced.
🔸 2) Rolling Lookback Profile
The profile is built from the most recent user selected number of bars. This means the profile continuously adapts to current market structure instead of being locked to a session boundary.
This makes it useful for intraday structure analysis, local range mapping, and recent participation studies.
🔸 3) Fixed Bin Price Segmentation
The script divides the recent highest to lowest range into a configurable number of bins. Lower bin counts create thicker and smoother rows. Higher bin counts create more detailed and granular distribution.
This lets the user control the balance between clarity and resolution.
🔸 4) Proportional Volume Allocation Across Overlapping Bins
When a candle spans multiple bins, the script does not place the full candle volume into a single row. Instead, it allocates volume proportionally according to the overlap between the candle range and each bin.
This produces a more realistic distribution than a single point assignment, especially for larger candles.
🔸 5) Bullish and Bearish Segment Rendering
Each row is drawn as a stacked two part structure:
The bullish segment starts from the left base of the profile
The bearish segment continues immediately after the bullish segment
This gives an intuitive visual read of which side dominated and how much each side contributed inside the same price zone.
🔸 6) Point of Control Highlighting
The script automatically finds the row with the highest total volume and marks it as the Point of Control. The POC row is highlighted with a full width background band, which makes the most active zone immediately obvious.
This is useful for identifying the strongest recent area of price acceptance.
🔸 7) Percentage Labels for Strong Rows
For profile rows with meaningful participation, the script prints a right side label showing:
Bullish percentage
Bearish percentage
For the POC row, the label is prefixed with POC . This gives a quick summary of directional balance at the most important nodes.
🔸 8) Dynamic Label Coloring by Dominance
The percentage labels change color based on row context:
POC labels use the dedicated POC color
Rows dominated by bullish volume use the bullish color
Rows dominated by bearish volume use the bearish color
This improves readability and speeds up visual interpretation.
🔸 9) Adjustable Profile Width and Offset
The profile is drawn to the right of the current bar with configurable:
Profile width as a percentage of lookback
Horizontal offset in bars
This makes it easy to place the profile in a clean position without obstructing live price action.
🔸 10) Smooth Clean Presentation
The script uses borderless boxes and compact right side labels, which gives the profile a clean and uncluttered look. This makes it suitable for traders who want visual structure without excessive chart noise.
🔸 11) Built for Practical Delta Style Context
While it does not use true order flow data, the indicator still provides a highly usable approximation of directional participation. This can help identify:
Buyer heavy zones
Seller heavy zones
Balanced zones
High activity acceptance areas
🔹 Calculations
1) Price Range Detection
The script first determines the highest high and lowest low over the selected lookback:
float hh_global = ta.highest(high, lookback)
float ll_global = ta.lowest(low, lookback)
This defines the full vertical range of the profile.
2) Bin Construction
That range is divided into the selected number of bins:
float binSize = (hh - ll) / numBins
Each bin stores:
Top price
Bottom price
Bullish allocated volume
Bearish allocated volume
The bins are built from top to bottom so the profile rows map naturally across the recent range.
3) Candle by Candle Volume Processing
For every bar in the lookback window, the script reads:
High
Low
Open
Close
Volume
Then it checks each bin to see whether the candle overlaps that bin.
4) Proportional Overlap Allocation
For each overlapping bin, the script calculates:
float overlapTop = math.min(bHigh, b.top)
float overlapBottom = math.max(bLow, b.bottom)
If there is overlap, it allocates volume proportionally:
allocatedVol := bVol * ((overlapTop - overlapBottom) / rangeSize)
Interpretation:
If a candle covers multiple price rows, each row receives only the fraction of volume corresponding to its share of the candle’s total range.
This is a more realistic approximation than assigning all volume to one bin.
5) Zero Range Candle Handling
If a candle has zero range, the script assigns the full volume to the bin that contains the candle price:
if rangeSize > 0
...
else
if bHigh <= b.top and (bHigh > b.bottom or (j == numBins - 1 and bHigh >= b.bottom))
allocatedVol := bVol
This prevents divide by zero issues and still keeps the data usable.
6) Bullish vs Bearish Classification
Once the script calculates allocated volume for a bin, it classifies that volume by candle direction:
if bClose >= bOpen
b.bullVol += allocatedVol
else
b.bearVol += allocatedVol
Interpretation:
Bullish volume means the candle closed at or above its open.
Bearish volume means the candle closed below its open.
Important note:
This is a directional approximation. It is not true tape based aggressive buy or aggressive sell volume.
7) Total Volume, Delta, and Percent Methods
Each bin includes helper methods:
totalVol() returns bullVol + bearVol
deltaVol() returns bullVol - bearVol
bullPct() returns bullish percentage of total
bearPct() returns bearish percentage of total
The script actively uses total volume and percentages in rendering. The deltaVol() method is defined for convenience, but this version does not directly plot or label the raw delta value.
8) Point of Control Detection
After all bins are populated, the script finds the row with the largest total volume:
if bTotVol > maxVol
maxVol := bTotVol
pocIdx := i
This row becomes the Point of Control and acts as the strongest recent participation zone.
9) Width Normalization
The total maximum row volume is used as the width normalization anchor. For each row:
float bullRatio = b.bullVol / maxVol
float bearRatio = b.bearVol / maxVol
Then the segment widths are scaled into bars:
int bullWidthBars = math.round(bullRatio * maxBoxWidthBars)
int bearWidthBars = math.round(bearRatio * maxBoxWidthBars)
Because both bullish and bearish widths are normalized against the same maxVol , their combined width reflects the row’s total participation relative to the profile maximum.
10) Minimum Visible Width Safeguard
If a row has non zero bullish or bearish volume but the calculated width rounds to zero, the script forces a minimum width of one bar:
if b.bullVol > 0 and bullWidthBars == 0
bullWidthBars := 1
This ensures small but meaningful contributions remain visible.
11) Right Side Time Based Layout
The profile is rendered using xloc.bar_time , so all horizontal distances are based on time, not bar index. The script calculates:
A base left time for the profile
A maximum right time
A per bar time width
Key logic:
int leftBaseTime = lastBarTime + (profileOffset * barTimeDiff)
int maxRightTime = leftBaseTime + (maxBoxWidthBars * barTimeDiff)
This makes the profile appear a fixed number of bar widths to the right of the latest candle.
12) POC Background Highlight
Before drawing the bullish and bearish segments for the POC row, the script paints a full width background band:
box.new(left=leftBaseTime, top=drawTop, right=maxRightTime, bottom=drawBottom, ...)
This gives the POC a distinct highlighted backdrop behind the actual stacked volume bars.
13) Visual Gap Inside Each Bin
The script trims the top and bottom of each drawn row slightly:
float boxGap = (b.top - b.bottom) * 0.1
float drawTop = b.top - boxGap
float drawBottom = b.bottom + boxGap
This creates small vertical spacing between rows, which improves readability and avoids a fully merged block appearance.
14) Percentage Label Threshold
Labels are not printed for every row. They appear only when the row’s total volume is greater than 15 percent of the maximum row volume:
if bTotVol > (maxVol * 0.15)
This reduces clutter and focuses attention on more relevant nodes.
15) Label Text Construction
For significant rows, the script computes:
Bullish percentage
Bearish percentage
Then formats them as:
string labelText = bullStr + " | " + bearStr
For the POC row:
labelText := "POC: " + labelText
Indicator
Thermal Momentum Gauge [JOAT]Thermal Momentum Gauge
Introduction
The Thermal Momentum Gauge is an open-source institutional-grade pressure and volatility monitoring system that combines market pressure measurement, volatility temperature analysis, volume steam detection, and multi-factor explosion identification into a unified oscillator. This sophisticated system integrates multiple proven momentum methodologies to identify high-probability explosive move conditions where pressure, temperature, and steam factors converge.
The indicator is designed for traders who understand that explosive market moves occur when multiple pressure systems align simultaneously. By synthesizing RSI pressure, WaveTrend momentum, Money Flow Index analysis, Stochastic pressure, ATR temperature, Bollinger Band width, volume steam detection, and confluence scoring, this tool helps identify structural market explosion points with thermal precision.
Why This Integration Exists
This indicator combines seven distinct pressure and volatility measurement frameworks that complement each other:
Multi-Component Pressure System: Combines RSI, WaveTrend, MFI, and Stochastic RSI for comprehensive pressure measurement
Thermal Temperature Analysis: Uses ATR and Bollinger Band width to measure market volatility temperature
Volume Steam Detection: Analyzes volume spikes and directional volume pressure for steam identification
Explosion Detection Engine: Multi-factor confluence system that identifies when all pressure systems align
Momentum Confirmation System: Ensures signals occur at genuine turning points through momentum analysis
Pressure Zone Classification: Defines thermal zones from extreme oversold to extreme overbought
Signal Filtering System: Prevents overlapping signals while maintaining precision timing
Each component addresses different aspects of market thermal dynamics. Pressure measurement reveals directional bias, temperature analysis shows volatility energy, steam detection indicates volume explosions, and confluence scoring quantifies setup quality. Together, they create a comprehensive thermal view that traditional single-dimension momentum indicators cannot provide.
Core Components Explained
1. Multi-Component Pressure System (0-100 Scale)
The system combines four pressure measurements for comprehensive analysis:
RSI Pressure:
RSI Pressure = RSI(close, rsi_length) // Standard 0-100 scale
WaveTrend Pressure:
ESA = ema(hlc3, wt_channel_length)
D = ema(abs(hlc3 - ESA), wt_channel_length)
CI = (hlc3 - ESA) / (0.015 * D)
WT1 = ema(CI, wt_average_length)
WT Pressure = (WT1 + 100) / 2 // Normalize -100 to 100 → 0 to 100
MFI Pressure:
MFI Pressure = MFI(hlc3, mfi_length) // Money Flow Index 0-100
Stochastic RSI Pressure (Optional):
Stochastic RSI = Stochastic(RSI(close, rsi_length), stoch_length)
Stoch Pressure = sma(Stochastic RSI, 3)
Combined Pressure:
Total Pressure = (RSI + WT + MFI + Stoch) / 4 // With Stochastic
Total Pressure = (RSI + WT + MFI) / 3 // Without Stochastic
2. Thermal Temperature System (0-100 Scale)
Measures market volatility energy through dual methods:
ATR-Based Temperature:
ATR Percentage = (ATR(atr_length) / close) * 100
ATR Temperature = ATR Percentage * temperature_multiplier
Bollinger Band Width Temperature (Optional):
BB Basis = sma(close, bb_length)
BB Deviation = bb_multiplier * stdev(close, bb_length)
BB Width = ((BB Upper - BB Lower) / BB Basis) * 100
BB Temperature = BB Width * 5 // Scale to 0-100
Combined Temperature:
Temperature = min((ATR Temperature + BB Temperature) / 2, 100) // With BB
Temperature = min(ATR Temperature, 100) // Without BB
3. Volume Steam Detection (0-100 Scale)
Analyzes volume explosions and directional pressure:
Volume Steam Base:
Volume Ratio = volume / sma(volume, volume_length)
Steam Base = Volume Ratio * 50
Volume Delta (Optional):
Buy Volume = close > open ? volume : 0
Sell Volume = close < open ? volume : 0
Volume Delta = (Buy Volume - Sell Volume) / volume * 50
Combined Steam:
Steam = min(Steam Base + abs(Volume Delta), 100)
Steam Classifications:
- Steam Burst: Steam > steam_threshold (default 80)
- Extreme Steam: Steam > 90
- Volume Spike Direction: Bullish (close > open) or Bearish (close < open)
4. Explosion Detection Engine
Multi-factor confluence system with momentum confirmation:
Momentum Confirmation:
Pressure Momentum = change(Total Pressure)
Pressure Acceleration = change(Pressure Momentum)
Momentum Shift = (momentum > 0 AND momentum <= 0) OR (momentum < 0 AND momentum >= 0)
Confluence Score (0-5):
Confluence Components:
- Pressure Factor: Total Pressure > pressure_threshold ? 1 : 0
- Temperature Factor: Temperature > temperature_threshold ? 1 : 0
- Steam Factor: Steam > steam_threshold ? 1 : 0
- WaveTrend Extreme: WT Pressure > 80 OR WT Pressure < 20 ? 1 : 0
- Extreme Steam: Steam > 90 ? 1 : 0
Confluence Score = Sum of all factors (0-5)
Explosion Conditions:
Explosion = Confluence Score >= minimum_confluence AND (Momentum Shift OR abs(Pressure Acceleration) > 2)
Bull Explosion = Explosion AND Total Pressure > 50 AND Pressure Momentum > 0
Bear Explosion = Explosion AND Total Pressure < 50 AND Pressure Momentum < 0
Perfect Explosion (Rare):
Perfect Explosion = Confluence Score == 5 AND abs(Pressure Momentum) > 3
Perfect Bull = Perfect Explosion AND Total Pressure > 50 AND Pressure Momentum > 0
Perfect Bear = Perfect Explosion AND Total Pressure < 50 AND Pressure Momentum < 0
5. Thermal Zone Classification
The system defines seven thermal pressure zones:
Extreme Overbought: Pressure > 80 (Critical thermal level)
Overbought: Pressure 70-80 (High thermal level)
Neutral High: Pressure 55-70 (Warm thermal level)
Equilibrium: Pressure 45-55 (Neutral thermal zone)
Neutral Low: Pressure 30-45 (Cool thermal level)
Oversold: Pressure 20-30 (Low thermal level)
Extreme Oversold: Pressure < 20 (Critical thermal level)
6. Signal Filtering System
Prevents overlapping signals while maintaining precision:
Minimum Bars Between Signals = 8
Signal Filtering Logic:
- Perfect signals take priority over regular explosions
- Regular explosions are filtered if perfect signal occurred recently
- Warning signals are filtered if explosion signals are active
- Steam bursts are filtered to minimum 3 bars apart
Visual Elements
Thermal Pressure Wave: Main oscillator with thermal gradient coloring and glow effects
Component Pressures: Individual RSI, WT, MFI, and Stochastic lines (hidden by default)
Temperature Background: Heat map style background coloring based on volatility temperature
Steam Burst Histograms: Volume spike visualization with directional coloring
Thermal Zone References: Critical levels at 20, 30, 50, 70, 80 with neutral zone highlighting
Explosion Markers: Diamond shapes for perfect explosions, triangles for regular explosions
Warning Signals: Circle markers for approaching explosion conditions
Pressure Meter: Visual gauge showing current pressure level with thermal gradient
Dashboard: Comprehensive real-time display of all thermal components and status
How Components Work Together
The integration creates a thermal momentum analysis approach:
Layer 1 - Pressure Measurement: Multi-component system reveals directional pressure across four dimensions
Layer 2 - Temperature Analysis: Volatility measurement shows market energy and expansion potential
Layer 3 - Steam Detection: Volume analysis identifies explosive energy release conditions
Layer 4 - Momentum Confirmation: Ensures signals occur at genuine turning points, not random noise
Layer 5 - Confluence Scoring: Quantifies setup quality by counting aligned factors
Layer 6 - Explosion Detection: Identifies rare moments when all thermal systems align
Layer 7 - Signal Filtering: Prevents overlap while maintaining precision timing
Example scenario: Pressure reaches extreme oversold (Layer 1) with high temperature (Layer 2), volume steam burst (Layer 3), momentum shift confirmation (Layer 4), confluence score of 5 (Layer 5), triggering perfect bull explosion (Layer 6) with proper signal filtering (Layer 7). This represents maximum thermal alignment for explosive upward move.
Input Parameters
Pressure Settings:
RSI Length: Period for RSI calculation (default: 14)
WT Channel Length: WaveTrend channel period (default: 10)
WT Average Length: WaveTrend smoothing period (default: 21)
MFI Length: Money Flow Index period (default: 14)
Stochastic Length: Stochastic RSI period (default: 14)
Use Stochastic Pressure: Toggle fourth pressure component
Temperature Settings:
ATR Length: Average True Range period (default: 14)
Temperature Multiplier: Sensitivity adjustment (default: 10.0)
Use Bollinger Band Width: Toggle BB width temperature component
BB Length: Bollinger Band period (default: 20)
BB Multiplier: Bollinger Band deviation (default: 2.0)
Volume Settings:
Volume MA Length: Volume average period (default: 20)
Steam Threshold: Volume spike multiplier (default: 2.0)
Use Volume Delta: Toggle directional volume analysis
Show Volume Spikes: Toggle volume spike visualization
Explosion Settings:
Pressure Threshold: Minimum pressure for explosion (default: 80)
Temperature Threshold: Minimum temperature for explosion (default: 70)
Steam Threshold: Minimum steam for explosion (default: 80)
Minimum Confluence Score: Required factors for explosion (default: 3)
Show Explosion Warnings: Toggle warning markers
How to Use This Indicator
Step 1: Assess Thermal Pressure
Check the main pressure gauge and current thermal zone classification in the dashboard.
Step 2: Monitor Temperature Levels
High temperature (>70) indicates market energy building for potential explosive moves.
Step 3: Watch for Steam Bursts
Volume steam bursts (>80) show explosive energy release with directional bias.
Step 4: Check Confluence Score
Scores ≥3 indicate multiple thermal factors aligning for explosion potential.
Step 5: Wait for Momentum Confirmation
Explosions require momentum shifts or acceleration to confirm genuine turning points.
Step 6: Identify Explosion Signals
Perfect explosions (diamond markers) offer highest probability, regular explosions (triangles) offer good probability.
Step 7: Monitor Warning Signals
Warning markers indicate approaching explosion conditions - prepare for potential signals.
Best Practices
Use on 15-minute to 4-hour timeframes for optimal thermal detection
Focus on extreme thermal zones (<20 or >80) for highest explosion probability
Perfect explosions are rare but offer exceptional risk:reward opportunities
Temperature confirmation adds conviction to pressure-based signals
Steam direction (bullish/bearish) should align with expected explosion direction
Confluence scores ≥4 significantly increase explosion probability
Warning signals help prepare for upcoming explosion opportunities
Thermal zone transitions often precede significant price movements
Indicator Limitations
Thermal pressure can remain extreme longer than expected during strong trends
Perfect explosions are rare - patience required for highest probability setups
Temperature spikes during news events may create false explosion signals
Steam bursts don't guarantee immediate price movement - timing varies
Confluence scoring is mathematical, not predictive of future performance
Component pressures may conflict, requiring interpretation skills
Signal filtering may delay signals in rapidly changing market conditions
Requires understanding of multi-factor thermal analysis concepts
Technical Implementation
Built with Pine Script v6 using:
Multi-component pressure calculation with optional Stochastic RSI integration
Dual-method temperature analysis using ATR and Bollinger Band width
Advanced volume steam detection with directional bias measurement
Multi-factor confluence scoring system with momentum confirmation
Thermal gradient coloring system with glow effects and heat map backgrounds
Anti-overlap signal filtering with priority-based signal management
Real-time pressure meter visualization with thermal zone classification
Comprehensive dashboard with component breakdown and explosion status
The code is fully open-source and can be modified to suit individual trading styles and preferences.
Originality Statement
This indicator is original in its thermal momentum integration approach. While individual components (RSI, WaveTrend, MFI, ATR, volume analysis) are established concepts, this integration is justified because:
It synthesizes seven distinct thermal and momentum methodologies into a unified system
The multi-component pressure system provides comprehensive momentum analysis beyond single indicators
Thermal temperature analysis combines volatility measurements for energy assessment
Volume steam detection adds explosive energy context to momentum signals
Multi-factor confluence scoring quantifies setup quality across all thermal dimensions
Perfect explosion detection identifies rare, high-probability explosive move conditions
Each component contributes unique thermal information: pressure measurement reveals directional momentum, temperature analysis shows volatility energy, steam detection indicates volume explosions, confluence scoring quantifies alignment, and momentum confirmation ensures signal quality. The integration's value lies in identifying moments when all thermal systems align simultaneously for explosive market moves.
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 and is not suitable for all investors.
Thermal momentum analysis and explosion detection are analytical concepts that do not guarantee future price movement. Past performance and backtested results do not guarantee future results. Market conditions change, and thermal patterns that worked historically may not work in the future.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades
Indicator
Polarity Divergence Scanner [JOAT]Polarity Divergence Scanner
Introduction
The Polarity Divergence Scanner is an open-source advanced market polarity detection system that measures bullish and bearish pressure across four distinct market dimensions: price action, volume flow, momentum dynamics, and volatility expansion. This sophisticated oscillator integrates multiple pressure measurement techniques to detect polarity shifts, divergences, and pressure extremes with visual heatmap representation.
The indicator is designed for traders who understand that market movements are driven by the constant battle between bullish and bearish forces across multiple dimensions. By synthesizing price polarity, volume polarity, momentum polarity, and volatility polarity into a composite index, this tool helps identify structural market turning points where pressure imbalances create high-probability reversal opportunities.
Why This Integration Exists
This indicator combines four distinct polarity measurement frameworks that complement each other:
Price Polarity Analysis: Measures directional pressure from pure price action using range-normalized calculations
Volume Polarity Tracking: Analyzes buying versus selling pressure through volume flow dynamics
Momentum Polarity Detection: Combines RSI and MACD analysis to measure acceleration-based pressure
Volatility Polarity Assessment: Tracks expansion versus contraction pressure through ATR analysis
Each component addresses different aspects of market pressure dynamics. Price polarity reveals directional bias, volume polarity shows institutional flow, momentum polarity indicates acceleration changes, and volatility polarity measures market energy. Together, they create a comprehensive view of market pressure that traditional single-dimension indicators cannot provide.
Core Components Explained
1. Price Polarity Engine
Measures directional pressure from price movement:
Price Change = close - close
Price Range = highest(high, polarity_period) - lowest(low, polarity_period)
Price Polarity = (Price Change / Price Range) * 100
Smoothed Price Polarity = ema(Price Polarity, smoothing)
This calculation normalizes price movement against the recent range, providing a -100 to +100 scale where positive values indicate bullish pressure and negative values indicate bearish pressure.
2. Volume Polarity System
Analyzes buying versus selling pressure through volume flow:
Bull Volume = close > open ? volume : 0
Bear Volume = close < open ? volume : 0
Volume Polarity = ((sma(Bull Volume, period) - sma(Bear Volume, period)) / sma(Total Volume, period)) * 100
This reveals institutional flow direction by comparing accumulation (buying) volume against distribution (selling) volume over the specified period.
3. Momentum Polarity Calculator
Combines RSI and MACD for comprehensive momentum analysis:
RSI Polarity = (RSI - 50) * 2 // Scale to -100 to +100
MACD Histogram Normalized = (MACD Histogram / stdev(MACD Histogram, period)) * 30
Momentum Polarity = (RSI Polarity + MACD Normalized) / 2
This dual-momentum approach captures both relative strength (RSI) and trend acceleration (MACD) components.
4. Volatility Polarity Tracker
Measures expansion versus contraction pressure:
ATR Change = current ATR - ATR
ATR Average = sma(ATR, polarity_period)
Volatility Polarity = (ATR Change / ATR Average) * 100
Positive values indicate expanding volatility (energy building), while negative values show contracting volatility (energy dissipating).
5. Composite Polarity Index
Weighted combination of all polarity dimensions:
Composite Polarity = (Price Polarity * 0.35) + (Volume Polarity * 0.25) + (Momentum Polarity * 0.30) + (Volatility Polarity * 0.10)
Final Polarity = ema(Composite Polarity, smoothing) * sensitivity
The weighting emphasizes price and momentum while incorporating volume flow and volatility context.
6. Pressure Zone Classification
The system defines seven distinct pressure zones:
Extreme Bull Zone: Polarity ≥ 70 (Intense bullish pressure)
Strong Bull Zone: Polarity 40-69 (Solid bullish pressure)
Weak Bull Zone: Polarity 1-39 (Mild bullish pressure)
Neutral Zone: Polarity = 0 (Equilibrium state)
Weak Bear Zone: Polarity -1 to -39 (Mild bearish pressure)
Strong Bear Zone: Polarity -40 to -69 (Solid bearish pressure)
Extreme Bear Zone: Polarity ≤ -70 (Intense bearish pressure)
7. Polarity Shift Detection
The system identifies four types of polarity shifts:
Polarity Flips: Crosses zero line with sufficient strength (>30)
Polarity Acceleration: Increasing momentum in extreme zones (>50 or <-50)
Polarity Exhaustion: Weakening momentum in extreme zones (>80 or <-80)
Pressure Temperature: Volatility-adjusted intensity measurement
8. Advanced Divergence Detection
Uses pivot-based analysis to identify polarity divergences:
Bullish Polarity Divergence: Price makes lower low while polarity makes higher low
Bearish Polarity Divergence: Price makes higher high while polarity makes lower high
Divergences are filtered by minimum polarity strength to ensure significance.
Visual Elements
Composite Polarity Wave: Main oscillator with advanced gradient coloring and triple-layer glow effect
Individual Polarity Lines: Price, volume, and momentum polarity components
Polarity Strength Histogram: Background columns showing absolute polarity strength
Pressure Zone Backgrounds: Dynamic gradient backgrounds based on polarity intensity
Reference Lines: Critical levels at ±40, ±70, and ±100 with neutral zone highlighting
Polarity Shift Markers: Circles for flips, triangles for acceleration, X-crosses for exhaustion
Divergence Diamonds: Large diamond markers for confirmed polarity divergences
Dashboard: Comprehensive real-time display of all polarity components and signal status
How Components Work Together
The integration creates a multi-dimensional pressure analysis:
Layer 1 - Price Pressure: Directional bias from pure price movement
Layer 2 - Volume Pressure: Institutional flow through buying/selling volume
Layer 3 - Momentum Pressure: Acceleration and relative strength dynamics
Layer 4 - Volatility Pressure: Energy expansion/contraction context
Layer 5 - Composite Analysis: Weighted combination revealing overall market polarity
Layer 6 - Shift Detection: Identification of polarity transitions and extremes
Layer 7 - Divergence Analysis: Price-polarity disconnects signaling potential reversals
Example scenario: Price makes a new high (Layer 1) but volume polarity weakens (Layer 2), momentum polarity diverges (Layer 3), and volatility contracts (Layer 4). The composite polarity (Layer 5) shows bearish divergence (Layer 7) with exhaustion signals (Layer 6), indicating high reversal probability.
Input Parameters
Polarity Core:
Polarity Period: Base period for polarity calculations (default: 14)
Smoothing: Smoothing factor for polarity waves (default: 3)
Sensitivity: Signal sensitivity multiplier (default: 1.5)
Divergence Detection:
Pivot Lookback: Bars for pivot detection (default: 5)
Min Divergence Strength: Minimum polarity strength for signals (default: 60)
Visual Settings:
Show Polarity Waves: Toggle main polarity display
Show Pressure Zones: Toggle background zone coloring
Show Divergence Markers: Toggle divergence signals
Show Polarity Shifts: Toggle shift detection markers
How to Use This Indicator
Step 1: Assess Overall Polarity
Check the composite polarity level and current pressure zone classification in the dashboard.
Step 2: Identify Pressure Extremes
Look for extreme bull (>70) or extreme bear (<-70) zones where reversals are more likely.
Step 3: Monitor Polarity Shifts
Watch for polarity flips (zero line crosses), acceleration in extreme zones, or exhaustion signals.
Step 4: Analyze Component Divergences
Check if individual polarity components (price, volume, momentum) are aligned or diverging.
Step 5: Detect Polarity Divergences
Look for diamond markers indicating price-polarity divergences - these often precede major reversals.
Step 6: Confirm with Pressure Temperature
High pressure temperature (volatility-adjusted intensity) adds conviction to polarity signals.
Step 7: Wait for Confluence
Best setups occur when multiple factors align: extreme zones + polarity shifts + divergences + high temperature.
Best Practices
Use on 15-minute to 4-hour timeframes for optimal polarity detection
Focus on extreme zones (>70 or <-70) for highest probability reversals
Polarity flips provide early trend change signals with good risk:reward
Divergences in extreme zones offer exceptional reversal opportunities
Acceleration signals in extreme zones often precede explosive moves
Exhaustion signals warn of potential polarity reversals before they occur
High pressure temperature adds conviction to all polarity signals
Component analysis helps understand the source of polarity changes
Indicator Limitations
Polarity can remain extreme longer than expected during strong trends
Divergences may take time to resolve - patience is required
Extreme zones don't guarantee immediate reversals - timing is crucial
Component polarity may conflict, requiring interpretation skills
Pressure temperature can spike during news events, creating false signals
Polarity shifts may be brief and require quick decision-making
Performance varies across different market conditions and volatility regimes
Requires understanding of multi-dimensional pressure analysis concepts
Technical Implementation
Built with Pine Script v6 using:
Multi-dimensional polarity calculation across four market aspects
Advanced gradient coloring system with triple-layer glow effects
Pivot-based divergence detection with strength filtering
Dynamic pressure zone classification with background visualization
Real-time polarity shift detection with multiple signal types
Comprehensive dashboard with component breakdown and signal status
Anti-overlap filtering to prevent signal clustering
Pressure temperature calculation for volatility-adjusted intensity
The code is fully open-source and can be modified to suit individual trading styles and preferences.
Originality Statement
This indicator is original in its multi-dimensional polarity approach. While individual components (RSI, MACD, volume analysis, ATR) are established concepts, this integration is justified because:
It synthesizes four distinct polarity dimensions that address different market pressure aspects
The composite polarity index provides a unified view of market pressure across multiple dimensions
Advanced polarity shift detection identifies transitions before they become obvious in price
Polarity divergence analysis reveals price-pressure disconnects that traditional indicators miss
Pressure zone classification provides quantitative framework for market state assessment
Pressure temperature adds volatility context to polarity intensity measurements
Each component contributes unique polarity information: price polarity shows directional bias, volume polarity reveals institutional flow, momentum polarity indicates acceleration, and volatility polarity measures energy. The integration's value lies in identifying moments when these pressure dimensions align or diverge, creating high-probability trading opportunities.
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 and is not suitable for all investors.
Polarity analysis and divergence detection are analytical concepts that do not guarantee future price movement. Past performance and backtested results do not guarantee future results. Market conditions change, and polarity patterns that worked historically may not work in the future.
Always use proper risk management, including stop losses and position sizing appropriate for your account size and risk tolerance. Never risk more than you can afford to lose. Consider consulting with a qualified financial advisor before making investment decisions.
The author is not responsible for any losses incurred from using this indicator. Users assume full responsibility for all trading decisions made using this tool.
-Made with passion by officialjackofalltrades
Indicator
Trend Pressure Prism [LuxAlgo]The Trend Pressure Prism indicator is a comprehensive trend-analysis tool that synthesizes momentum, market structure, and pullback quality into a single composite oscillator to identify high-conviction trading opportunities.
🔶 USAGE
The indicator operates as a "prism," refracting price action through three distinct lenses to determine the total pressure behind a market move. Users can monitor the central ribbon to gauge trend strength and the "Agreement" metric to identify how unified the underlying forces are.
🔹 Trend States & Conviction
The oscillator fluctuates between -100 and 100. When the ribbon enters the "Extreme Zones" (above 80 or below -80), the background glows, signaling a period of high conviction.
Bullish Conviction: High positive pressure with unified agreement among the three pillars.
Bearish Conviction: High negative pressure with unified agreement among the three pillars.
Exhaustion: Occurs when the pressure score remains high but agreement drops below 50%, suggesting a potential reversal or thinning liquidity.
🔹 Filtered Crossover signals
The indicator includes a Signal Line (EMA) that generates entry and exit cues. To ensure only high-quality opportunities are highlighted, signals are filtered by primary conditions:
Relative Volume (RVOL): Ensures the move is backed by institutional participation.
Agreement Filter: Requires a minimum level of harmony between momentum and structure.
Dynamic Sizing: Signals are plotted as circles on the ribbon. Their size and opacity scale based on volume—larger, solid circles represent high-volume breakouts, while smaller circles indicate standard filtered moves.
🔶 DETAILS
The script is built upon three core components that form the Composite Pressure Score:
Momentum Drive: Measures the aggression of price movement using a normalized Rate of Change.
Structural Alignment: Analyzes price position relative to fast and slow EMAs to ensure the trend has structural support.
Pullback Quality: Evaluates the health of retracements by analyzing where price sits within its recent range.
The Agreement metric calculates the mathematical harmony between these three components. High agreement suggests a "perfect storm" where all three factors point in the same direction, increasing the probability of a sustained move.
🔹 Dashboard Information
The on-screen dashboard provides a real-time summary of the market's technical state:
Current State: Identifies the market regime, such as "Bullish/Bearish Conviction," "Exhaustion" (divergent forces), or "Glass / Neutral" (low-conviction environments).
Action: Provides a suggested context based on the prism's logic. This includes "Bullish/Bearish Cross" for potential entries, "Hold" for trending environments with high agreement, and "Wait" for low-conviction periods.
Pressure Score: The numerical value of the composite oscillator (-100 to 100).
Agreement: A percentage representing how unified the three internal forces are. Higher percentages indicate stronger confluence.
🔶 SETTINGS
🔹 Calculation Settings
Lookback Period: Determines the window used for momentum, structure, and range calculations.
Prism Sensitivity: Controls how reactive the normalized scores are to price changes.
Min Signal RVOL: The volume threshold required to trigger a signal circle (e.g., 1.2 requires 20% above average volume).
Min Signal Agreement: The required harmony between the 3 pillars (0.0 to 1.0) for a signal to appear.
🔹 Visual Settings
Prism Opacity: Adjusts the transparency of the central ribbon and conviction glows.
Enable Dashboard: Toggles the on-screen information panel.
Position/Size: Controls the placement and scale of the dashboard UI.
Indicator
Time Pressure ZonesTime Pressure Zones is a multi‑purpose candle and volume‑based indicator that highlights moments when markets are likely being driven by urgency rather than routine trading flow.
**Overview**
Detects sequences of strong, one‑directional candles accompanied by volume spikes to approximate institutional time pressure (forced buying or selling).
Paints subtle background zones, labels, and a net‑pressure histogram so you can see when aggressive flow is building or exhausting across any instrument and timeframe.
**Core Logic**
A bar is tagged “strong” when its real body occupies at least a user‑defined percentage of the full high‑low range, filtering out indecision candles and long‑wick noise.
Volume is compared to a rolling 20‑bar average; only bars with volume above a configurable multiple are treated as meaningful participation, which makes the tool adapt to different symbols and sessions.
The script counts consecutive bars that are both strong and high‑volume in the same direction, then flags a time‑pressure event once a set fraction of the lookback has been reached (e.g., 2 out of 3, 3 out of 5).
**Visual Outputs**
Background shading: green or red bands mark active bullish or bearish time‑pressure windows without overpowering other tools on the chart.
On‑chart labels: “↑ Time Pressure” and “↓ Time Pressure” appear only on the first bar of a new pressure sequence, ideal for alerts and discretionary entries.
Net Pressure histogram: plots the difference between bullish and bearish streak counts, giving a quick at‑a‑glance sense of which side currently dominates.
**Sessions and News**
Uses UTC‑based logic to highlight London and New York open and close windows, where institutional flows and intraday “deadline” behavior tend to cluster.
Includes a manual News Window toggle so you can mark high‑impact event periods (CPI, FOMC, NFP, etc.), aligning tape‑based urgency with scheduled catalysts.
**How To Use**
Look to join moves when fresh time‑pressure labels print into session opens, breakouts, or key levels, rather than fading them.
Tune the three main inputs per market and timeframe: lower thresholds for choppy or thin markets, and higher body/volume requirements for very liquid symbols like major indices or BTC pairs.
Indicator
APC HIRO Proxy Flow PressureAP Capital – HIRO Proxy (Flow Pressure)
AP Capital – HIRO Proxy is a price- and volume-based flow pressure oscillator designed to approximate institutional hedging / directional pressure using only native chart data.
⚠️ This is a proxy model. It does not use options-market data or real SpotGamma HIRO feeds.
🔍 What this indicator does
The indicator measures directional efficiency × volume pressure on every bar, accumulates it intraday, and then normalizes the result using a Z-score so it adapts cleanly across symbols and timeframes.
The output is displayed as candle-style pressure bars, making momentum shifts and pressure flips visually obvious.
🧠 Core Logic
Directional Efficiency
Measures how effectively price closes within its candle range
Strong closes near highs/lows increase pressure
Volume Weighting
Pressure is weighted by volume (optionally logarithmic)
Prevents single spikes from distorting the signal
Cumulative Flow
Pressure accumulates bar-by-bar
Optional daily reset for intraday trading
Z-Score Normalization
Normalizes pressure relative to recent history
Allows consistent thresholds across assets
📊 How to read the indicator
Green candles above zero
→ Net bullish pressure (buyers in control)
Red candles below zero
→ Net bearish pressure (sellers in control)
Zero line
→ Neutral balance / transition zone
±1 / ±2 Z-Bands
→ Elevated or extreme pressure conditions
Triangle signals
▲ Up Pressure → Z-score crosses above positive threshold
▼ Down Pressure → Z-score crosses below negative threshold
⚙️ Inputs & Controls
Core
Smoothing length
Z-score lookback
Log-volume weighting
Daily reset toggle
Filters
ATR-based dead-market filter
ATR length
Display
Zero line on/off
Z-score bands on/off
Signal threshold control
📈 Best use cases
Intraday momentum confirmation
Detecting pressure shifts before breakouts
Trend continuation filtering
Compression → expansion environments
Pairing with structure, VWAP, EMAs, or session levels
🚫 What this indicator is NOT
Not real options flow
Not SpotGamma HIRO
Not predictive on its own
This tool is designed to support decision-making, not replace risk management.
⚠️ Disclaimer
This indicator is provided for educational purposes only.
No financial advice. Trading involves risk.
Indicator
Market Pressure Regime [Interakktive]The Market Pressure Regime (MPR) is a 4-state market classifier that models how structural forces create "pressure zones" — regions where price movement is either supported (Release) or suppressed (Pinned) by market microstructure.
It combines compression analysis, follow-through efficiency, and stress detection into a composite pressure score, classifying markets into Release, Suppressed, Transition, or Trap states — helping traders understand WHY price is moving (or not moving) in the current environment.
█ USAGE
MPR addresses a core question traders face: Is the market in a regime where directional moves are likely to follow through, or is it structurally pinned?
For swing traders, MPR identifies Release phases where momentum strategies work best, and Suppressed phases where mean reversion dominates.
For day traders, it highlights Trap conditions — high effort with no follow-through — where reversals are probable and trend entries fail.
🔹 The 4-State Model
The indicator classifies markets into four distinct regimes:
• Release (Teal): Pressure score ≥ +5. Directional flow dominates. Price moves efficiently with follow-through. Favor trend continuation.
• Suppressed (Grey): Pressure score ≤ -5. Compression dominates. Price is range-bound or pinned. Fade extremes, expect reversion.
• Transition (Amber): Score between thresholds OR instability detected. Regime is uncertain — wait for confirmation before committing.
• Trap (Magenta): High stress + low follow-through. Effort without result. Expect reversals.
🔹 Reading the Pressure Histogram
The histogram displays the composite Pressure Score (range approximately -100 to +100):
• Positive values: Follow-through exceeds compression. Market is "releasing" — directional moves are supported.
• Negative values: Compression exceeds follow-through. Market is "suppressed" — price movement is constrained.
• Color reflects confirmed state: The histogram uses persistence filtering — a state must hold for N bars before the color changes, preventing false signals from noise.
🔹 The 5-Stage Calculation
MPR synthesizes five analytical stages into the final state:
1. Compression Score: Measures how tight the current range is relative to ATR. High compression suggests structural forces are pinning price.
2. Follow-Through Score: Measures price path efficiency (MER-style). Efficient moves indicate genuine directional flow, not chop.
3. Stress Score: Detects effort-without-result (ERD-style). High volume or range with no price progress = absorption.
4. Composite Pressure: Combines follow-through and compression into a single directional score.
5. Persistence Filter: Requires states to hold for configurable bars before confirming, eliminating flickering.
█ SETTINGS
Core Settings
• ATR Length: Period for volatility normalization. Default 14.
• Baseline Lookback: Period for compression and efficiency baselines. Default 20.
• Volume Average Length: Period for stress calculation baseline. Default 20.
State Classification
• Release Threshold: Pressure score above this = Release. Default +5.
• Suppressed Threshold: Pressure score below this = Suppressed. Default -5.
• Trap Threshold: Stress score above this (with low follow-through) = Trap. Default 30.
• Persistence Bars: Bars required to confirm state change. Default 3.
• Stability Lookback: Period for stability calculation. Default 20.
• Stability Threshold: Below this = forced Transition state. Default 0.5.
Visual Settings
• Show Pressure Histogram: Display the main pressure score histogram.
• Show Zero Line: Display the zero reference line.
• Show Background Tint: Subtle background color by state (default OFF).
Data Window
• Show Data Window Values: Export all calculated scores for analysis.
█ INTERPRETATION GUIDE
When to Use Trend Strategies (Release):
• Histogram tall and positive
• Teal coloring confirmed
• Price making efficient higher highs or lower lows
When to Use Mean Reversion (Suppressed):
• Histogram flat or negative
• Grey coloring confirmed
• Price oscillating without follow-through
When to Wait (Transition):
• Amber coloring
• Mixed signals — don't force trades
• Wait for state to resolve
When to Expect Reversals (Trap):
• Magenta coloring
• High volume moves that don't stick
• Often occurs at structural inflection points
█ COMPLEMENTARY TOOLS
MPR pairs well with:
• Volatility State Index (VSI) — Confirms whether volatility is expanding into the pressure regime
• Effort-Result Divergence (ERD) — Provides bar-by-bar absorption/vacuum detection
• Market Efficiency Ratio (MER) — Validates follow-through quality
█ SUITABLE MARKETS
Works across all liquid markets:
• Equities: SPY, QQQ, liquid single stocks
• Futures: ES, NQ, CL, GC
• Crypto: BTC, ETH
• Forex: Major pairs
Works on any timeframe, but 1H–Daily provides cleanest regime classification. Intraday (5m–15m) useful for session-level tactical decisions.
█ OPEN SOURCE
This indicator is open-source for educational purposes. Review the code to understand the full calculation methodology.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
Indicator
DAO - Demand Advanced Oscillator# DAO - Demand Advanced Oscillator
## 📊 Overview
DAO (Demand Advanced Oscillator) is a powerful momentum oscillator that measures buying and selling pressure by analyzing consecutive high-low relationships. It helps identify market extremes, divergences, and potential trend reversals.
**Values range from 0 to 1:**
- **Above 0.70** = Overbought (potential reversal down)
- **Below 0.30** = Oversold (potential reversal up)
- **0.30 - 0.70** = Neutral zone
---
## ✨ Key Features
✅ **Automatic Divergence Detection**
- Bullish divergences (price lower low + DAO higher low)
- Bearish divergences (price higher high + DAO lower high)
- Visual lines connecting divergence points
✅ **Multi-Timeframe Analysis**
- View higher timeframe DAO on current chart
- Perfect for trend alignment strategies
✅ **Signal Line (EMA)**
- Customizable EMA for trend confirmation
- Crossover signals for momentum shifts
✅ **Real-Time Statistics Dashboard**
- Current DAO value
- Market status (Overbought/Oversold/Neutral)
- Trend direction indicator
✅ **Complete Alert System**
- Overbought/Oversold signals
- Bullish/Bearish divergences
- Signal line crosses
- Level crosses
✅ **Fully Customizable**
- Adjustable periods and levels
- Customizable colors and zones
- Toggle features on/off
---
## 📈 Trading Signals
### 1. Divergences (Most Powerful)
**Bullish Divergence:**
- Price makes lower low
- DAO makes higher low
- Signal: Strong reversal up likely
**Bearish Divergence:**
- Price makes higher high
- DAO makes lower high
- Signal: Strong reversal down likely
### 2. Overbought/Oversold
**Overbought (>0.70):**
- Market may be overextended
- Consider taking profits or looking for shorts
- Can remain overbought in strong trends
**Oversold (<0.30):**
- Market may be oversold
- Consider buying opportunities
- Can remain oversold in strong downtrends
### 3. Signal Line Crossovers
**Bullish Cross:**
- DAO crosses above signal line
- Momentum turning positive
**Bearish Cross:**
- DAO crosses below signal line
- Momentum turning negative
### 4. Level Crosses
**Cross Above 0.30:** Exiting oversold zone (potential uptrend)
**Cross Below 0.70:** Exiting overbought zone (potential downtrend)
---
## ⚙️ Default Settings
📊 Oscillator Period: 14
Number of bars for calculation
📈 Signal Line Period: 9
EMA period for signal line
🔴 Overbought Level: 0.70
Upper threshold
🟢 Oversold Level: 0.30
Lower threshold
🎯 Divergence Detection: ON
Auto divergence identification
⏰ Multi-Timeframe: OFF
Higher TF overlay (optional)
All parameters are fully customizable!
---
## 🔔 Alerts
Six pre-configured alerts available:
1. DAO Overbought
2. DAO Oversold
3. DAO Bullish Divergence
4. DAO Bearish Divergence
5. DAO Signal Cross Up
6. DAO Signal Cross Down
**Setup:** Right-click indicator → Add Alert → Choose condition
---
## 💡 How to Use
### Best Practices:
✅ Focus on divergences (strongest signals)
✅ Combine with support/resistance levels
✅ Use multiple timeframes for confirmation
✅ Wait for price action confirmation
✅ Practice proper risk management
### Avoid:
❌ Trading on indicator alone
❌ Fighting strong trends
❌ Ignoring market context
❌ Overtrading
### Recommended Settings by Trading Style:
**Day Trading:** Period 7-10, All alerts ON
**Swing Trading:** Period 14-21, Divergence alerts
**Scalping:** Period 5-7, Signal crosses
**Position Trading:** Period 21-30, Weekly/Daily TF
---
## 🌍 Markets & Timeframes
**Works on all markets:**
- Forex (all pairs)
- Stocks (all exchanges)
- Cryptocurrencies
- Commodities
- Indices
- Futures
**Works on all timeframes:** 1m to Monthly
---
## 📊 How It Works
DAO calculates the ratio of buying pressure to total market pressure:
1. **Calculate Buying Pressure (DemandMax):**
- If current high > previous high: DemandMax = difference
- Otherwise: DemandMax = 0
2. **Calculate Selling Pressure (DemandMin):**
- If previous low > current low: DemandMin = difference
- Otherwise: DemandMin = 0
3. **Apply Smoothing:**
- Calculate SMA of DemandMax over N periods
- Calculate SMA of DemandMin over N periods
4. **Final Formula:**
```
DAO = SMA(DemandMax) / (SMA(DemandMax) + SMA(DemandMin))
```
This produces a normalized value (0-1) representing market demand strength.
---
## 🎯 Trading Strategies
### Strategy 1: Divergence Trading
- Wait for divergence label
- Confirm at support/resistance
- Enter on confirming candle
- Stop loss beyond recent swing
- Target: opposite level or 0.50
### Strategy 2: Overbought/Oversold
- Best for ranging markets
- Wait for extreme readings
- Enter on reversal from extremes
- Target: middle line (0.50)
### Strategy 3: Trend Following
- Identify trend direction first
- Use DAO to time entries in trend direction only
- Enter on pullbacks to oversold (uptrend) or overbought (downtrend)
- Trade with the trend
### Strategy 4: Multi-Timeframe
- Enable MTF feature
- Trade only when both timeframes align
- Higher TF = trend direction
- Lower TF = precise entry
---
## 📂 Category
**Primary:** Oscillators
**Secondary:** Statistics, Volatility, Momentum
---
## 🏷️ Tags
dao, oscillator, momentum, overbought-oversold, divergence, reversal, demand-indicator, price-exhaustion, statistics, volatility, forex, stocks, crypto, multi-timeframe, technical-analysis
---
## ⚠️ Disclaimer
**This indicator is for educational purposes only.** It does not constitute financial advice. Trading involves substantial risk of loss. Always conduct your own research, use proper risk management, and consult with financial professionals before making trading decisions. Past performance does not guarantee future results.
---
## 📄 License
Open source - Free to use for personal trading, modify as needed, and share with attribution.
---
**Version:** 1.0
**Status:** Production Ready ✅
**Pine Script:** v5
**Trademark-Free:** 100% Safe to Publish
---
*Made with 💙 for traders worldwide*
Indicator
Power Balance ForecasterHey trader buddy! Remember the old IBM 5150 on Wall Street back in the 80s? :) Well, I wanted to pay tribute to it with this retro-style code when MS DOS and CRT screens were the cutting edge of technology...
Analysis of the balance of power between buyers and sellers with price predictions
What This Indicator Does
The Power Balance Forecaster indicator analyzes the relationship between buyer and seller strength to predict future price movements. Here's what it does in detail:
Main Features:
Power Balance Analysis: Calculates real-time percentage of buyer power vs seller power
Price Predictions: Estimates next closing level based on current momentum
Market State Detection: Identifies 5 different market conditions
Visual Signals: Shows directional arrows and price targets
How the Trading Logic Works
Power Balance Calculation:
Analyzes Consecutive Bars - Counts consecutive bullish and bearish bars
Calculates Momentum - Uses ATR-normalized momentum to measure trend strength
Determines Market State - Assigns one of 5 market states based on conditions
Market States:
Bull Control: Strong uptrend (75% buyer power)
Bear Control: Strong downtrend (75% seller power)
Buying Pressure: Bullish pressure (65% buyer power)
Selling Pressure: Bearish pressure (65% seller power)
Balance Area: Market in equilibrium (50/50)
Prediction System:
Bullish Condition: Buyer power > 55% + Positive momentum = Bullish prediction
Bearish Condition: Seller power > 55% + Negative momentum = Bearish prediction
Price Target: Based on ATR multiplied by timeframe factor
Configurable Parameters:
Analysis Sensitivity (5-50): Controls how responsive the indicator is
Low values (5-15): More sensitive, ideal for scalping
High values (30-50): More stable, ideal for swing trading
Table Position: Choose from 9 positions to display the data table
Trading Signals:
Green Triangle ▲: Bullish signal, price expected to increase
Green Triangle ▼: Bearish signal, price expected to decrease
Dashed Line: Shows the price target projection
Label: Displays the exact target value
Recommended Timeframes:
Lower Timeframes (1-15 minutes):
Sensitivity: 10-20
Automatic Low TF mode
Higher Timeframes (1 hour - 1 day):
Sensitivity: 25-40
Automatic High TF mode
Important Notes:
Always use this indicator in combination with:
Market context analysis
Proper risk management
Confirmation from other indicators
Mandatory stop losses
The indicator works best in trending markets and may be less effective during extreme consolidation periods.
Indicator
Extreme Pressure Zones Indicator (EPZ) [BullByte]Extreme Pressure Zones Indicator(EPZ)
The Extreme Pressure Zones (EPZ) Indicator is a proprietary market analysis tool designed to highlight potential overbought and oversold "pressure zones" in any financial chart. It does this by combining several unique measurements of price action and volume into a single, bounded oscillator (0–100). Unlike simple momentum or volatility indicators, EPZ captures multiple facets of market pressure: price rejection, trend momentum, supply/demand imbalance, and institutional (smart money) flow. This is not a random mashup of generic indicators; each component was chosen and weighted to reveal extreme market conditions that often precede reversals or strong continuations.
What it is?
EPZ estimates buying/selling pressure and highlights potential extreme zones with a single, bounded 0–100 oscillator built from four normalized components. Context-aware weighting adapts to volatility, trendiness, and relative volume. Visual tools include adaptive thresholds, confirmed-on-close extremes, divergence, an MTF dashboard, and optional gradient candles.
Purpose and originality (not a mashup)
Purpose: Identify when pressure is building or reaching potential extremes while filtering noise across regimes and symbols.
Originality: EPZ integrates price rejection, momentum cascade, pressure distribution, and smart money flow into one bounded scale with context-aware weighting. It is not a cosmetic mashup of public indicators.
Why a trader might use EPZ
EPZ provides a multi-dimensional gauge of market extremes that standalone indicators may miss. Traders might use it to:
Spot Reversals: When EPZ enters an "Extreme High" zone (high red), it implies selling pressure might soon dominate. This can hint at a topside reversal or at least a pause in rallies. Conversely, "Extreme Low" (green) can highlight bottom-fish opportunities. The indicator's divergence module (optional) also finds hidden bullish/bearish divergences between price and EPZ, a clue that price momentum is weakening.
Measure Momentum Shifts: Because EPZ blends momentum and volume, it reacts faster than many single metrics. A rising MPO indicates building bullish pressure, while a falling MPO shows increasing bearish pressure. Traders can use this like a refined RSI: above 50 means bullish bias, below 50 means bearish bias, but with context provided by the thresholds.
Filter Trades: In trend-following systems, one could require EPZ to be in the bullish (green) zone before taking longs, or avoid new trades when EPZ is extreme. In mean-reversion systems, one might specifically look to fade extremes flagged by EPZ.
Multi-Timeframe Confirmation: The dashboard can fetch a higher timeframe EPZ value. For example, you might trade a 15-minute chart only when the 60-minute EPZ agrees on pressure direction.
Components and how they're combined
Rejection (PRV) – Captures price rejection based on candle wicks and volume (see Price Rejection Volume).
Momentum Cascade (MCD) – Blends multiple momentum periods (3,5,8,13) into a normalized momentum score.
Pressure Distribution (PDI) – Measures net buy/sell pressure by comparing volume on up vs down candles.
Smart Money Flow (SMF) – An adaptation of money flow index that emphasizes unusual volume spikes.
Each of these components produces a 0–100 value (higher means more bullish pressure). They are then weighted and averaged into the final Market Pressure Oscillator (MPO), which is smoothed and scaled. By combining these four views, EPZ stands out as a comprehensive pressure gauge – the whole is greater than the sum of parts
Context-aware weighting:
Higher volatility → more PRV weight
Trendiness up (RSI of ATR > 25) → more MCD weight
Relative volume > 1.2x → more PDI weight
SMF holds a stable weight
The weighted average is smoothed and scaled into MPO ∈ with 50 as the neutral midline.
What makes EPZ stand out
Four orthogonal inputs (price action, momentum, pressure, flow) unified in a single bounded oscillator with consistent thresholds.
Adaptive thresholds (optional) plus robust extreme detection that also triggers on crossovers, so static thresholds work reliably too.
Confirm Extremes on Bar Close (default ON): dots/arrows/labels/alerts print on closed bars to avoid repaint confusion.
Clean dashboard, divergence tools, pre-alerts, and optional on-price gradients. Visual 3D layering uses offsets for depth only,no lookahead.
Recommended markets and timeframes
Best: liquid symbols (index futures, large-cap equities, major FX, BTC/ETH).
Timeframes: 5–15m (more signals; consider higher thresholds), 1H–4H (balanced), 1D (clear regimes).
Use caution on illiquid or very low TFs where wick/volume geometry is erratic.
Logic and thresholds
MPO ∈ ; 50 = neutral. Above 50 = bullish pressure; below 50 = bearish.
Static thresholds (defaults): thrHigh = 70, thrLow = 30; warning bands 5 pts inside extremes (65/35).
Adaptive thresholds (optional):
thrHigh = min(BaseHigh + 5, mean(MPO,100) + stdev(MPO,100) × ExtremeSensitivity)
thrLow = max(BaseLow − 5, mean(MPO,100) − stdev(MPO,100) × ExtremeSensitivity)
Extreme detection
High: MPO ≥ thrHigh with peak/slope or crossover filter.
Low: MPO ≤ thrLow with trough/slope or crossover filter.
Cooldown: 5 bars (default). A new extreme will not print until the cooldown elapses, even if MPO re-enters the zone.
Confirmation
"Confirm Extremes on Bar Close" (default ON) gates extreme markers, pre-alerts, and alerts to closed bars (non-repainting).
Divergences
Pivot-based bullish/bearish divergence; tags appear only after left/right bars elapse (lookbackPivot).
MTF
HTF MPO retrieved with lookahead_off; values can update intrabar and finalize at HTF close. This is disclosed and expected.
Inputs and defaults (key ones)
Core: Sensitivity=1.0; Analysis Period=14; Smoothing=3; Adaptive Thresholds=OFF.
Extremes: Base High=70, Base Low=30; Extreme Sensitivity=1.5; Confirm Extremes on Bar Close=ON; Cooldown=5; Dot size Small/Tiny.
Visuals: Heatmap ON; 3D depth optional; Strength bars ON; Pre-alerts OFF; Divergences ON with tags ON; Gradient candles OFF; Glow ON.
Dashboard: ON; Position=Top Right; Size=Normal; MTF ON; HTF=60m; compact overlay table on price chart.
Advanced caps: Max Oscillator Labels=80; Max Extreme Guide Lines=80; Divergence objects=60.
Dashboard: what each element means
Header: EPZ ANALYSIS.
Large readout: Current MPO; color reflects state (extreme, approaching, or neutral).
Status badge: "Extreme High/Low", "Approaching High/Low", "Bullish/Neutral/Bearish".
HTF cell (when MTF ON): Higher-timeframe MPO, color-coded vs extremes; updates intrabar, settles at HTF close.
Predicted (when MTF OFF): Simple MPO extrapolation using momentum/acceleration—illustrative only.
Thresholds: Current thrHigh/thrLow (static or adaptive).
Components: ASCII bars + values for PRV, MCD, PDI, SMF.
Market metrics: Volume Ratio (x) and ATR% of price.
Strength: Bar indicator of |MPO − 50| × 2.
Confidence: Heuristic gauge (100 in extremes, 70 in warnings, 50 with divergence, else |MPO − 50|). Convenience only, not probability.
How to read the oscillator
MPO Value (0–100): A reading of 50 is neutral. Values above ~55 are increasingly bullish (green), while below ~45 are increasingly bearish (red). Think of these as "market pressure".
Extreme Zones: When MPO climbs into the bright orange/red area (above the base-high line, default 70), the chart will display a dot and downward arrow marking that extreme. Traders often treat this as a sign to tighten stops or look for shorts. Similarly, a bright green dot/up-arrow appears when MPO falls below the base-low (30), hinting at a bullish setup.
Heatmap/Candles: If "Pressure Heatmap" is enabled, the background of the oscillator pane will fade green or red depending on MPO. Users can optionally color the price candles by MPO value (gradient candles) to see these extremes on the main chart.
Prediction Zone(optional): A dashed projection line extends the MPO forward by a small number of bars (prediction_bars) using current MPO momentum and acceleration. This is a heuristic extrapolation best used for short horizons (1–5 bars) to anticipate whether MPO may touch a warning or extreme zone. It is provisional and becomes less reliable with longer projection lengths — always confirm predicted moves with bar-close MPO and HTF context before acting.
Divergences: When price makes a higher high but EPZ makes a lower high (bearish divergence), the indicator can draw dotted lines and a "Bear Div" tag. The opposite (lower low price, higher EPZ) gives "Bull Div". These signals confirm waning momentum at extremes.
Zones: Warning bands near extremes; Extreme zones beyond thresholds.
Crossovers: MPO rising through 35 suggests easing downside pressure; falling through 65 suggests waning upside pressure.
Dots/arrows: Extreme markers appear on closed bars when confirmation is ON and respect the 5-bar cooldown.
Pre-alert dots (optional): Proximity cues in warning zones; also gated to bar close when confirmation is ON.
Histogram: Distance from neutral (50); highlights strengthening or weakening pressure.
Divergence tags: "Bear Div" = higher price high with lower MPO high; "Bull Div" = lower price low with higher MPO low.
Pressure Heatmap : Layered gradient background that visually highlights pressure strength across the MPO scale; adjustable intensity and optional zone overlays (warning / extreme) for quick visual scanning.
A typical reading: If the oscillator is rising from neutral towards the high zone (green→orange→red), the chart may see strong buying culminating in a stall. If it then turns down from the extreme, that peak EPZ dot signals sell pressure.
Alerts
EPZ: Extreme Context — fires on confirmed extremes (respects cooldown).
EPZ: Approaching Threshold — fires in warning zones if no extreme.
EPZ: Divergence — fires on confirmed pivot divergences.
Tip: Set alerts to "Once per bar close" to align with confirmation and avoid intrabar repaint.
Practical usage ideas
Trend continuation: In positive regimes (MPO > 50 and rising), pullbacks holding above 50 often precede continuation; mirror for bearish regimes.
Exhaustion caution: E High/E Low can mark exhaustion risk; many wait for MPO rollover or divergence to time fades or partial exits.
Adaptive thresholds: Useful on assets with shifting volatility regimes to maintain meaningful "extreme" levels.
MTF alignment: Prefer setups that agree with the HTF MPO to reduce countertrend noise.
Examples
Screenshots captured in PulseWire Replay to freeze the bar at close so values don't fluctuate intrabar. These examples use default settings and are reproducible on the same bars; they are for illustration, not cherry-picking or performance claims.
Example 1 — BTCUSDT, 1h — E Low
MPO closed at 26.6 (below the 30 extreme), printing a confirmed E Low. HTF MPO is 26.6, so higher-timeframe pressure remains bearish. Components are subdued (Momentum/Pressure/Smart$ ≈ 29–37), with Vol Ratio ≈ 1.19x and ATR% ≈ 0.37%. A prior Bear Div flagged weakening impulse into the drop. With cooldown set to 5 bars, new extremes are rate-limited. Many traders wait for MPO to curl up and reclaim 35 or for a fresh Bull Div before considering countertrend ideas; if MPO cannot reclaim 35 and HTF stays weak, treat bounces cautiously. Educational illustration only.
Example 2 — ETHUSD, 30m — E High
A strong impulse pushed MPO into the extreme zone (≥ 70), printing a confirmed E High on close. Shortly after, MPO cooled to ~61.5 while a Bear Div appeared, showing momentum lag as price pushed a higher high. Volume and volatility were elevated (≈ 1.79x / 1.25%). With a 5-bar cooldown, additional extremes won't print immediately. Some treat E High as exhaustion risk—either waiting for MPO rollover under 65/50 to fade, or for a pullback that holds above 50 to re-join the trend if higher-timeframe pressure remains constructive. Educational illustration only.
Known limitations and caveats
The MPO line itself can change intrabar; extreme markers/alerts do not repaint when "Confirm Extremes on Bar Close" is ON.
HTF values settle at the close of the HTF bar.
Illiquid symbols or very low TFs can be noisy; consider higher thresholds or longer smoothing.
Prediction line (when enabled) is a visual extrapolation only.
For coders
Pine v6. MTF via request.security with lookahead_off.
Extremes include crossover triggers so static thresholds also yield E High/E Low.
Extreme markers and pre-alerts are gated by barstate.isconfirmed when confirmation is ON.
Arrays prune oldest objects to respect resource limits; defaults (80/80/60) are conservative for low TFs.
3D layering uses negative offsets purely for drawing depth (no lookahead).
Screenshot methodology:
To make labels legible and to demonstrate non-repainting behavior, the examples were captured in PulseWire Replay with "Confirm Extremes on Bar Close" enabled. Replay is used only to freeze the bar at close so plots don't change intrabar. The examples use default settings, include both Extreme Low and Extreme High cases, and can be reproduced by scrolling to the same bars outside Replay. This is an educational illustration, not a performance claim.
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Markets involve risk; past behavior does not guarantee future results. You are responsible for your own testing, risk management, and decisions.
Indicator
PhenLabs - Market Fluid Dynamics📊 Market Fluid Dynamics -
Version: PineScript™ v6
📌 Description
The Market Fluid Dynamics - Phen indicator is a new thinking regarding market analysis by modeling price action, volume, and volatility using a fluid system. It attempts to offer traders control over more profound market forces, such as momentum (speed), resistance (thickness), and buying/selling pressure. By visualizing such dynamics, the script allows the traders to decide on the prevailing market flow, its power, likely continuations, and zones of calmness and chaos, and thereby allows improved decision-making.
This measure avoids the usual difficulty of reconciling multiple, often contradictory, market indications by including them within a single overarching model. It moves beyond traditional binary indicators by providing a multi-dimensional view of market behavior, employing fluid dynamic analogs to describe complex interactions in an accessible manner.
🚀 Points of Innovation
Integrated Fluid Dynamics Model: Combines velocity, viscosity, pressure, and turbulence into a single indicator.
Normalized Metrics: Uses ATR and other normalization techniques for consistent readings across different assets and timeframes.
Dynamic Flow Visualization: Main flow line changes color and intensity based on direction and strength.
Turbulence Background: Visually represents market stability with a gradient background, from calm to turbulent.
Comprehensive Dashboard: Provides an at-a-glance summary of key fluid dynamic metrics.
Multi-Layer Smoothing: Employs several layers of EMA smoothing for a clearer, more responsive main flow line.
🔧 Core Components
Velocity Component: Measures price momentum (first derivative of price), normalized by ATR. It indicates the speed and direction of price changes.
Viscosity Component: Represents market resistance to price changes, derived from ATR relative to its historical average. Higher viscosity suggests it’s harder for prices to move.
Pressure Component: Quantifies the force created by volume and price range (close - open), normalized by ATR. It reflects buying or selling pressure.
Turbulence Detection: Calculates a Reynolds number equivalent to identify market stability, ranging from laminar (stable) to turbulent (chaotic).
Main Flow Indicator: Combines the above components, applying sensitivity and smoothing, to generate a primary signal of market direction and strength.
🔥 Key Features
Advanced Smoothing Algorithm: Utilizes multiple EMA layers on the raw flow calculation for a fluid and responsive main flow line, reducing noise while maintaining sensitivity.
Gradient Flow Coloring: The main flow line dynamically changes color from light to deep blue for bullish flow and light to deep red for bearish flow, with intensity reflecting flow strength. This provides an immediate visual cue of market sentiment and momentum.
Turbulence Level Background: The chart background changes color based on calculated turbulence (from calm gray to vibrant orange), offering an intuitive understanding of market stability and potential for erratic price action.
Informative Dashboard: A customizable on-screen table displays critical metrics like Flow State, Flow Strength, Market Viscosity, Turbulence, Pressure Force, Flow Acceleration, and Flow Continuity, allowing traders to quickly assess current market conditions.
Configurable Lookback and Sensitivity: Users can adjust the base lookback period for calculations and the sensitivity of the flow to viscosity, tailoring the indicator to different trading styles and market conditions.
Alert Conditions: Pre-defined alerts for flow direction changes (positive/negative crossover of zero line) and detection of high turbulence states.
🎨 Visualization
Main Flow Line: A smoothed line plotted below the main chart, colored blue for bullish flow and red for bearish flow. The intensity of the color (light to dark) indicates the strength of the flow. This line crossing the zero line can signal a change in market direction.
Zero Line: A dotted horizontal line at the zero level, serving as a baseline to gauge whether the market flow is positive (bullish) or negative (bearish).
Turbulence Background: The indicator pane’s background color changes based on the calculated turbulence level. A calm, almost transparent gray indicates low turbulence (laminar flow), while a more vibrant, semi-transparent orange signifies high turbulence. This helps traders visually assess market stability.
Dashboard Table: An optional table displayed on the chart, showing key metrics like ‘Flow State’, ‘Flow Strength’, ‘Market Viscosity’, ‘Turbulence’, ‘Pressure Force’, ‘Flow Acceleration’, and ‘Flow Continuity’ with their current values and qualitative descriptions (e.g., ‘Bullish Flow’, ‘Laminar (Stable)’).
📖 Usage Guidelines
Setting Categories
Show Dashboard - Default: true; Range: true/false; Description: Toggles the visibility of the Market Fluid Dynamics dashboard on the chart. Enable to see key metrics at a glance.
Base Lookback Period - Default: 14; Range: 5 - (no upper limit, practical limits apply); Description: Sets the primary lookback period for core calculations like velocity, ATR, and volume SMA. Shorter periods make the indicator more sensitive to recent price action, while longer periods provide a smoother, slower signal.
Flow Sensitivity - Default: 0.5; Range: 0.1 - 1.0 (step 0.1); Description: Adjusts how much the market viscosity dampens the raw flow. A lower value means viscosity has less impact (flow is more sensitive to raw velocity/pressure), while a higher value means viscosity has a greater dampening effect.
Flow Smoothing - Default: 5; Range: 1 - 20; Description: Controls the length of the EMA smoothing applied to the main flow line. Higher values result in a smoother flow line but with more lag; lower values make it more responsive but potentially noisier.
Dashboard Position - Default: ‘Top Right’; Range: ‘Top Right’, ‘Top Left’, ‘Bottom Right’, ‘Bottom Left’, ‘Middle Right’, ‘Middle Left’; Description: Determines the placement of the dashboard on the chart.
Header Size - Default: ‘Normal’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’, ‘Huge’; Description: Sets the text size for the dashboard header.
Values Size - Default: ‘Small’; Range: ‘Tiny’, ‘Small’, ‘Normal’, ‘Large’; Description: Sets the text size for the metric values in the dashboard.
✅ Best Use Cases
Trend Identification: Identifying the dominant market flow (bullish or bearish) and its strength to trade in the direction of the prevailing trend.
Momentum Confirmation: Using the flow strength and acceleration to confirm the conviction behind price movements.
Volatility Assessment: Utilizing the turbulence metric to gauge market stability, helping to adjust position sizing or avoid choppy conditions.
Reversal Spotting: Watching for divergences between price and flow, or crossovers of the main flow line above/below the zero line, as potential reversal signals, especially when combined with changes in pressure or viscosity.
Swing Trading: Leveraging the smoothed flow line to capture medium-term market swings, entering when flow aligns with the desired trade direction and exiting when flow weakens or reverses.
Intraday Scalping: Using shorter lookback periods and higher sensitivity to identify quick shifts in flow and turbulence for short-term trading opportunities, particularly in liquid markets.
⚠️ Limitations
Lagging Nature: Like many indicators based on moving averages and lookback periods, the main flow line can lag behind rapid price changes, potentially leading to delayed signals.
Whipsaws in Ranging Markets: During periods of low volatility or sideways price action (high viscosity, low flow strength), the indicator might produce frequent buy/sell signals (whipsaws) as the flow oscillates around the zero line.
Not a Standalone System: While comprehensive, it should be used in conjunction with other forms of analysis (e.g., price action, support/resistance levels, other indicators) and not as a sole basis for trading decisions.
Subjectivity in Interpretation: While the dashboard provides quantitative values, the interpretation of “strong” flow, “high” turbulence, or “significant” acceleration can still have a subjective element depending on the trader’s strategy and risk tolerance.
💡 What Makes This Unique
Fluid Dynamics Analogy: Its core strength lies in translating complex market interactions into an intuitive fluid dynamics framework, making concepts like momentum, resistance, and pressure easier to visualize and understand.
Market View: Instead of focusing on a single aspect (like just momentum or just volatility), it integrates multiple factors (velocity, viscosity, pressure, turbulence) to provide a more comprehensive picture of market conditions.
Adaptive Visualization: The dynamic coloring of the flow line and the turbulence background provide immediate, adaptive visual feedback that changes with market conditions.
🔬 How It Works
Price Velocity Calculation: The indicator first calculates price velocity by measuring the rate of change of the closing price over a given ‘lookback’ period. The raw velocity is then normalized by the Average True Range (ATR) of the same lookback period. Normalization enables comparison of momentum between assets or timeframes by scaling for volatility. This is the direction and speed of initial price movement.
Viscosity Calculation: Market ‘viscosity’ or resistance to price movement is determined by looking at the current ATR relative to its longer-term average (SMA of ATR over lookback * 2). The further the current ATR is above its average, the lower the viscosity (less resistance to price movement), and vice-versa. The script inverts this relationship and bounds it so that rising viscosity means more resistance.
Pressure Force Measurement: A ‘pressure’ variable is calculated as a function of the ratio of current volume to its simple moving average, multiplied by the price range (close - open) and normalized by ATR. This is designed to measure the force behind price movement created by volume and intraday price thrusts. This pressure is smoothed by an EMA.
Turbulence State Evaluation: A equivalent ‘Reynolds number’ is calculated by dividing the absolute normalized velocity by the viscosity. This is the proclivity of the market to move in a chaotic or orderly fashion. This ‘reynoldsValue’ is smoothed with an EMA to get the ‘turbulenceState’, which indicates if the market is laminar (stable), transitional, or turbulent.
Main Flow Derivation: The ‘rawFlow’ is calculated by taking the normalized velocity, dampening its impact based on the ‘viscosity’ and user-input ‘sensitivity’, and orienting it by the sign of the smoothed ‘pressureSmooth’. The ‘rawFlow’ is then put through multiple layers of exponential moving average (EMA) smoothing (with ‘smoothingLength’ and derived values) to reach the final ‘mainFlow’ line. The extensive smoothing is designed to give a smooth and clear visualization of the overall market direction and magnitude.
Dashboard Metrics Compilation: Additional metrics like flow acceleration (derivative of mainFlow), and flow continuity (correlation between close and volume) are calculated. All primary components (Flow State, Strength, Viscosity, Turbulence, Pressure, Acceleration, Continuity) are then presented in a user-configurable dashboard for ease of monitoring.
💡 Note:
The “Market Fluid Dynamics - Phen” indicator is designed to offer a unique perspective on market behavior by applying principles from fluid dynamics. It’s most effective when used to understand the underlying forces driving price rather than as a direct buy/sell signal generator in isolation. Experiment with the settings, particularly the ‘Base Lookback Period’, ‘Flow Sensitivity’, and ‘Flow Smoothing’, to find what best suits your trading style and the specific asset you are analyzing. Always combine its insights with robust risk management practices.
Indicator
VolumeFlowOscillatorLibVolume Flow Oscillator Library
Overview
The Volume Flow Oscillator library provides a comprehensive framework for analyzing directional volume flow in financial markets. It creates a multi-band oscillator system that transforms price and volume data into a spectrum of sensitivity bands, revealing the underlying buying and selling pressure.
Technical Approach
The library combines price direction with trading volume to generate an oscillator that fluctuates around a zero line, with positive values indicating buying pressure and negative values showing selling pressure. Using sophisticated ALMA (Arnaud Legoux Moving Average) smoothing techniques with asymmetric sensitivity, the library creates seven distinct bands that help identify various intensity levels of volume flow.
Key Features
Multi-band oscillator system with seven sensitivity levels
Directional volume flow analysis combining price movement and volume
Zero-line oscillation showing the balance between buying and selling pressure
Asymmetric ALMA smoothing for different sensitivity on positive/negative bands
Customizable lookback periods and multipliers for fine-tuning
Color-coded visualization for intuitive chart reading
Applications
This library offers developers a versatile foundation for creating volume-based indicators that go beyond simple volume measurement to reveal the directional force behind market movements. Ideal for confirming price trends, detecting divergences, identifying volume climaxes, and assessing overall market strength.
Library
Shifted Buy PressureDifferentiated Buy Pressure Indicator Documentation
Overview: The Differentiated Buy Pressure indicator is a custom Pine Script™ indicator designed to measure and visualize buy and sell pressure in the market. It calculates buy pressure based on a combination of volume, range, and gap, and provides a differentiated buy pressure which is shifted by 90°, offering predictive insights.
Inputs:
Window Size: The window size for average calculation (default: 20).
Show Overlay: Option to show the price overlay (default: false).
Overlay Boost Factor: Boosting factor for overlaying the price (default: 0.01).
Calculations:
Relative Range: Calculated as (high - low) / close.
Average Range: Simple moving average of the relative range over the specified window.
Average Volume: Simple moving average of the volume over the specified window.
Relative Gap: Calculated as open / close .
Average Gap: Simple moving average of the relative gap over the specified window.
Buy Pressure: Calculated using the formula: buy_pressure = -math.log(relative_range / avg_range * volume / avg_volume * relative_gap / avg_gap)
Differentiated Buy Pressure: Calculated as the difference between the current and previous buy pressure: diff_buy_pressure = buy_pressure - buy_pressure
Plots:
Zero Line: A horizontal line at zero for reference.
Buy Pressure: Plotted in blue, representing the calculated buy pressure.
Differentiated Buy Pressure: Plotted in red, representing the differentiated buy pressure.
Overlay: Optionally plots the price overlay boosted by the differentiated buy pressure.
Labels:
Labels are created to display the buy pressure and differentiated buy pressure values on the chart.
Usage: This indicator helps traders visualize the buy and sell pressure in the market. Positive values indicate buy pressure, while negative values indicate sell pressure. The differentiated buy pressure, shifted by 90°, provides predictive insights into future market movements.
This documentation provides a comprehensive overview of the Differentiated Buy Pressure indicator, explaining its purpose, inputs, calculations, and usage.
Indicator
Enhanced Buy/Sell Pressure, Volume, and Trend Bar analysisEnhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis Indicator
Overview
This indicator is designed to help traders identify buy and sell pressure, volume changes, and overall trend direction in the market. It combines multiple concepts like price action, volume, and trend analysis, candlestick anaysis to provide a comprehensive view of market dynamics. The visual elements are intuitive, making it suitable for traders at different levels. This indicator works together with Enhanced Pressure MTF Screener which is a screener based of this indicator to make it easier to see Bullish/Bearish pressures and trend across multiple timeframes.
Image below: is the Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis with the Enhanced Pressure MTF Screener indicator both active together.
Key Features
1.Buy/Sell Pressure Identification
Buy Pressure: Calculated based on price movement where the close price is higher than the opening price.
Sell Pressure: Calculated when the closing price is equal to or lower than the opening price.These pressures help you understand whether buyers or sellers are more dominant for each bar.
2.Volume Analysis
Normalized Volume: Volume data is normalized, making it easier to compare volume levels over different periods.
Volume Histogram: The volume is also presented as a histogram for easy visualization, showing whether the current volume is higher or lower compared to the average.
3.Simplified Coloring Option
You can choose to simplify the coloring of bars to reflect the dominant pressure: green for bullish pressure and red for bearish pressure. This makes it visually easier to identify who is in control. When simplified coloring is disabled, the bars' colors will represent the combined effect of buy and sell pressure.
4.Heikin-Ashi Candles for Pressure Calculation
The indicator includes an option to use Heikin-Ashi candles instead of traditional candles to calculate buy and sell pressure. Heikin-Ashi candles are known for smoothing out price action and providing a clearer trend representation.
5.Trend Background Coloring
This feature uses exponential moving averages (EMAs) to determine the trend:
Short-Term EMA vs. Long-Term EMA: When the short-term EMA is above the long-term EMA, the trend is considered bullish, and vice versa.
The background color changes based on the identified trend: green for an uptrend and red for a downtrend. This feature helps visualize the overall market direction at a glance.
6.Signals for Key Price Actions
The indicator plots various symbols to signal important price movements:
Bullish Close (▲): Indicates a strong upward movement where the close price crosses above the open.
Bearish Close (▼): Indicates a downward movement where the close price falls below the open.
Higher High (•): Highlights new highs compared to previous bars, useful for confirming an uptrend.
Lower Low (•): Highlights lower lows compared to previous bars, which can indicate a downtrend or bearish pressure.
Calculations Explained
1.Buy and Sell Pressure Calculation
The buy pressure is determined by the price range (high - low) if the closing price is above the opening price, indicating an increase in value.
The sell pressure is similarly calculated when the closing price is equal to or below the opening price.
The indicator uses the Average True Range (ATR) for normalization. Normalizing helps you compare pressure across different periods, regardless of market volatility.
2.Volume Normalization
Volume Normalization: To make volume comparable across different periods, the indicator normalizes it using the Simple Moving Average (SMA) of volume over a user-defined length.
Volume Histogram: The histogram provides a clear representation of volume changes compared to the average, making it easier to spot unusual activity that may indicate market shifts.
3.Combined Pressure Calculation
The indicator calculates a combined pressure value by subtracting sell pressure from buy pressure.
When combined pressure is positive, buying is dominant, and when negative, selling is dominant. This helps in visually understanding the ongoing momentum.
4.Trend Calculation
The indicator uses two EMAs to determine the trend:
Short-Term EMA (default 14-period) to capture recent price movements.
Long-Term EMA (default 50-period) to provide a broader trend perspective.
By comparing these EMAs on a higher timeframe, the indicator can identify whether the trend is up or down, making it easier for traders to align their trades with the larger market movement.
Inputs and Customization
The indicator provides several options for customization, allowing you to adjust it to your preferences:
SMA Length: Determines the lookback period for moving averages and volume normalization. A longer length provides more smoothing, whereas a shorter length makes the indicator more responsive.
Buy/Sell/Volume Colors: Customize the colors used to represent buying, selling, and volume to suit your preferences.
Heikin Ashi Option: Toggle between using Heikin Ashi or traditional OHLC (Open-High-Low-Close) candles for pressure calculations.
Trend Timeframe and EMA Periods: You can choose different timeframes and EMA periods for trend analysis to suit your trading strategy.
How to Use This Indicator
Identifying Market Momentum: Use the buy/sell pressure columns to see which side (buyers or sellers) is in control. Positive pressure combined with green color indicates strong buying, while red indicates selling.
Volume Confirmation: Check the volume area plot and histogram. High volume coupled with strong pressure is a sign of conviction, meaning the current move has backing from market participants.
Trend Identification: The trend background color helps identify the overall trend direction. Trade in the direction of the trend (e.g., take long positions during a green background).
Signal Indicators: The plotted symbols like "Bullish Close" and "Bearish Close" provide visual signals of key price actions, useful for timing entry or exit points.
Practical use Example
Scenario: The market is consolidating, and you see alternating green and red bars.
Action: Wait for a consistent sequence of green bars (buy pressure) along with a green background (uptrend) to consider going long, although you can go long without having a green background, the background adds confirmation layer.
Scenario: The market has several bearish closes (red ▼ symbols) accompanied by increasing volume.
Action: This could indicate strong selling pressure. If the background also turns red, it might be a good time to exit long positions or consider shorting.
Higher timeframe pressure and volume: Another way to use the indicator is to check buy/sell volume and pressure of the higher timeframe say weekly or daily or any timeframe you consider higher, once you’ve identified or feel confident in which direction the bar is going along with the full picture of trend, you can go to the lower timeframe and wait for it to sync with the higher timeframe to consider a long or a short. It is also easier to see when markets sync up by also applying the Enhanced Pressure MTF Screener which works in companion to this indicator.
Visual Cues and Interpretation
Combined Pressure Plot: The green and red column plot at the bottom of the chart represents the dominance between buying and selling. Tall green bars signify strong buying, while tall red bars indicate selling dominance.
Trend Background: Helps visualize the overall direction without manually drawing trend lines. When the background turns green, it generally indicates that the shorter-term moving average has crossed above the longer-term average—a sign of a bullish trend.
To Summarize shortly
The Enhanced Buy/Sell Pressure, Volume, and Trend Bar Analysis Indicator is an advanced but simple tool designed to help traders visually understand market dynamics. It combines different aspects of market analysis of candle pressure from buyers and sellers, volume confirmation, and trend identification into a single view, which can assist both new and experienced traders in making informed trading decisions.
This indicator:
Saves time by simplifying market analysis.
Provides clear visual cues for buy/sell pressure, volume, and trend.
Offers customizable settings to suit individual trading styles.
Always, I am happy to share my creations with you all for free. If you guys have cool ideas you would like to share, or suggestions for improvements the comment is below and I hope this overview gave an idea of how to use the indicator :D
Indicator
Discovery IndexThe Discovery Index is an original technical indicator which attempts to display directional market pressure and momentum based on accumulated candle-over-candle measurements.
Discovery , in this context, is the act of finding (discovering) New Highs and Lows.
> What is 'Discovery'
Not to be confused with "Price Discovery", the term for setting the spot price of an asset.
The term 'Discovery' in Discovery Index is used based on the literal definition of 'Discovery', such as, the action of finding what was previously unknown.
Given this definition,
Discovery is the difference between highs or lows only when the current high is higher than the previous high or the current low is lower than the previous low.
Below is a visual example of exactly where Discovery is seen from each candle.
Since discovery is only based on points of the candle, and not specifically the direction of the candle; it is possible for discovery to occur in both directions from the same candle.
It is also possible for no discovery to occur from a candle.
> Calculation
The Discovery Index is the Net Total of discovery data over a specified length of bars.
Discovery Index = Sum of Upwards Discovery + Sum of Downwards Discovery
Note: Upwards Discovery is always Positive, and Downwards Discovery is always Negative. By adding both together, their Net Total is produced. This value is the "Discovery Index".
Wick Calculation Example
> Volume Discovery
Using Volume for the Discovery Index Calculation allows for a different dimension to be added to the data for new analysis opportunities.
While volume data is only a single value, by accumulating this data over time, we are able to fabricate a candle body from the data by accounting for the direction of the chart candles.
This allows for the Calculation of the Discovery Index based on volume data.
Volume Example
> Display
The display uses a "Candlestick histogram" display. The bodies and wicks from the display represent the discovery data from the respective points in each candle. (Wick Discovery & Candle Body Discovery).
This style of histogram allows for the display of both data sources, preserving the accuracy and distinction between each type, while also providing a clean display.
> Considerations
Discovery index is not an Oscillator, since there are no upper or lower boundaries to its rotations.
There are not (at this time) any "Over-bought" or "Over-sold" Areas, this is partially due to the previous consideration since any levels for these could potentially change from chart to chart. Additionally, it would generally be better to read the data based on the context of the current market.
Non-directional movements effect the Discovery Index as well. Since Discovery does not occur from every bar, the Index reflects hesitations as well as movements in market direction.
With the option to input a symbol, the Discovery Index Indicator is not constrained to one chart ticker for its calculation and could help to see shifts between different symbols, making it easier to compare different assets.
With the separation of wicks and candle body data, a stronger move may be observed by its full-bodied movements, while a potentially more speculative move may be seen from large wick movements. Since wicks are often interpreted as either, Rejection for reversal OR as Testing for continuation, the interpretation for Wick Discovery generally varies based on context.
Discovery Index ⇾ Divergences! Due to its calculation, price (and/or volume) data is displayed in such a way that makes it useful as a tool for identifying divergence opportunities.
Remember, this indicator is lookback based. An immediate significant change from the data source (if not offset by a similar opposite change) will be represented for multiple bars after its occurrence. Due to this, data is likely to be skewed or biased from these occurrences for a period of time after.
Throughout development, "Discovery" has been shortened to just "Disco", therefore, this indicator is also an attempt to bring Disco Back.
Enjoy!
Indicator
Intraday volume pressureThis indicator shows the difference of bullish and bearish trading volume during intraday
The idea
Especially in "6E1!" it caught my eye, that often outside regular trading hours the price moves in one direction with thin volume and inside regular trading hours it moves back with much higher volume. It is possible, that the market closes e.g. with a plus. And over some days maybe you can see e.g. weak rising prices. But in this time the movements with high volume are going down every day. And one day - maybe within view minutes - the market rushs a level deeper.
Maybe some are manipulating the market in this way, maybe not, it doesn't matter. So my question was, can I find a way to show such divergences? I guess I can do.
How to use this indicator
Use it at your own risk! I don't take over any responsibility. You are the only one, who is responsible for your decisions. Always collect information from different independent sources!
Watch it in the daily chart - not intraday, not weekly! Of course this indicator just analyzes the past as all indicators. Everytime everything may happen that influences the market in any direction, no indicator can predict any news.
Watch it in sideways market or when the price is moving quite slow over days! An average volume pressure
below zero shows a volume-driven bearish pressure
above zero shows a volume-driven bullish pressure
of the last days. So there is a chance, that the market may follow the volume pressure within the next days. But of course, I cannot guarantee anything. The indicator just can give you an idea, why this will happen, when it will happens. Otherwise, the indicator indicated nothing helpfull.
Of course you also can try other securities. Maybe it will work there better or worse - difficult to say. I guess, it depends on the market.
Possible settings aside of colors
Intraday minute bars: Default is 15 minutes, in 6E in my point of view it is a good value. If you choose a smaller value, the chart gets too noisy, the results are getting too small. With a bigger timeframe some moves are hidden in bigger candles, the results are getting a large spread
Average over days: Default is 5 days - so one week. In 6E in my point of view it is a good value. A smaller value is too noisy. A bigger value reacts too slow. Often 6E has a trend over weeks. Sometimes it changes within some days - the indicator may help. But sometimes the market changes with a buying or selling climax. Such a case this indicator cannot recognize. But with the 5 days average maybe you get a change in the indicator within one or two days. Anyway, it is always a good idea to learn recognizing climaxes otherwise.
How the indicator works
It uses the function request.security_lower_tf to get the intraday candles. The volume of intraday up-candles is added to the intraday summary volume. The volume of down candles is substracted from the intraday summary volume.
In the oscillator area I plot a green bar on a day with a higher close than open and a red bar on a day with a lower close than open. The bar has a positive value, if the volume pressure is positive and a negative value if the volume pressure is negative. So it happens, that a green bar has a negative value or a red bar has a positive value.
The average is calculated with a floating sum. Once we have enough days calculated, I devide the floating sum by the length of the "Average over days" and plot the result. Then I substract the first value of the queue and I remove it.
Indicator
Hull PressureThis amazing oscillator displays the difference between the hull average calculated on the close of the candles and the one calculated between the average of the highs and lows.
This allows the user to identify the pressure of the closing price over the average, useful to identify trends, divergences, and reversals.
This indicator also has two dynamic overbought and oversold areas, calculated over the past extreme highs and lows of the oscillator.
Indicator
Buying and Selling Pressure Raw Multi (TG Fork)Visualize raw buying and selling pressure via 3 different calculation methods, all superimposed with dynamic rescaling.
Buying and selling pressure is the concept of quantifying the disproportion between buying and selling. In practice, there is no single definitive way to calculate it.
This indicator is a merge to display three different methods to calculate buying and selling pressure, with automatic visual rescaling to superimpose the three simultaneously, updated to PineScript v5, and with some additional improvements for speed and calculation precisions, and instead of the EMA, other types of moving averages can be used.
I primarily made it for my own needs, but as always, I like sharing with the community, as maybe others may find this useful too.
How to use:
* As often, the goal is to get as many of the 3 signals concur together to get a stronger aggregated signal.
* First signal: If the green bars on the histogram are bigger than the red ones, then there is more buying pressure, and vice versa.
* Second signal: If the background is green, there is more buying pressure, and vice versa if the background is orange. The yellow and green lines define the background color, but they are by default hidden for a less cluttered visual experience.
* Third signal: If the cloud is blue, there is more buying pressure, and the bigger the cloud, the more momentum there is for it to stay (and more difficult it is to reverse to selling pressure). If the cloud is red, there is more selling pressure.
If you like this indicator, please don't give me any credit, instead please show some love to the original authors (in no particular order):
ceyhun:
daytraderph (I could not find the link to the original script, the page is inaccessible?):
www.pulsewire.com
fract:
Indicator
Pressure - Buying and SellingThis is the Pressure Indicator.
The Pressure Indicator analyzes a number of price ratios to measure the pressure of Buyers and Sellers.
I’ve also added to the indicator:
1) Moving Averages (MA) – You can choose 3 types of MA:
- Simple Moving Average (SMA)
- Exponential Moving Average (EMA) - default
- Volume Weighted Moving Average (VWMA)
- Arnaud Legoux Moving Average (ALMA)
By default the MA are not displayed. You can turn them on or off.
2) Standard Deviation Bands and MA Bands – Bands only for the MA type 1 selection. Usually, the Pressureis inside the Bands. If it is beyond the Bands that could mean the current trend is ending. The MA Bands are turned off by default but you can turn them on the Styles Tab Menu.
3) Levels for Overbought and Oversold Zones:
- Gray Overbought 60
- Gray Oversold 40
4) Levels for Buying and Selling Pressure (3 types of pressure + 1 more). If the Pressure is crossing various intermediate levels that means there is Buying or Selling Pressure at those levels.
5) Signals for Crossing Overbought and Oversold Levels:
- Top Red fills for Crossing Down Overbought Level
- Bottom Lime fills for Crossing Up Oversold Level
6) Signals for Buying and Selling Pressure:
- Buy Pressure 1 and 2 are the smaller lime dots.
- Buy Pressure 1 and 2 together are the bigger lime dots.
- Buy Pressure 3 (Crossing Deviation Bands Up) are the blue dots.
- Sell Pressure 1 and 2 are the smaller red dots.
- Sell Pressure 1 and 2 together are the bigger red dots.
- Sell Pressure 3 (Crossing Deviation Bands Down) are the orange dots.
If there are more than one dot appearing at the same moment they will appear displaced in a vertical way at the same time.
If there is something wrong with the code or its calculations, please let me know.
If you want to modify or improve the code, feel free to do that, but please let me know the changes you made.
This Indicator is very accurate when using the Weekly Timeframe . I hope you enjoy it!
Indicator
Bitcoin Miner Sell PressureBitcoin miners are in pain and now (November 2022) selling more than they have in almost 5 years!
Introducing: Bitcoin Miner Sell Pressure.
A free, open-source indicator which tracks on-chain data to highlight when Bitcoin miners are selling more of their reserves than usual.
The indicator tracks the ratio of on-chain miner Bitcoin outflows to miner Bitcoin reserves.
- Higher = more selling than usual
- Lower = less selling than usual
- Red = extraordinary sell pressure
Today , it's red.
What can we see now ?
Miners are not great at treasury management. They tend to sell most when they are losing money (like today). But there have been times when they sold well into high profit, such as into the 2017 $20K top and in early 2021 when Bitcoin breached $40K.
Bitcoin Miner Sell Pressure identifies industry stress, excess and miner capitulation.
Unsurprisingly, there is a high correlation with Bitcoin Production Cost; giving strong confluence to both.
In some instances, BMSP spots capitulation before Hash Ribbons. Such as today!
Indicator
