Adaptive RSI Supertrend [MarkitTick]💡 A highly advanced, multi-dimensional momentum and volatility tracking ecosystem designed for professional market analysis. Rather than relying on traditional price-based trailing stops, this indicator projects a volatility-banded Supertrend directly onto an Adaptive Relative Strength Index (ARSI). This creates an incredibly responsive momentum oscillator that dynamically adjusts its own thresholds based on underlying market kinematics. By integrating high-order digital signal processing filters, higher timeframe confirmations, and volume-weighted validation, this tool provides a comprehensive, terminal-style perspective on market regime, momentum acceleration, and localized price extremes without succumbing to the noise typical of standard oscillators.
✨ Originality and Utility
The standard Relative Strength Index is frequently plagued by false signals, erratic whipsaws during consolidation, and a failure to contextualize momentum within broader structural trends. This script resolves these systemic inefficiencies through a deliberate and mathematically sound synthesis of disparate analytical domains. The combination of an ARSI with a localized Supertrend is not an arbitrary pairing; it solves the problem of static overbought/oversold boundaries. By mapping average true range (ATR) bands onto the RSI itself, the indicator creates dynamic, breathing support and resistance levels for momentum. Furthermore, the integration of advanced smoothing algorithms (Kalman and LLAMA) strips out high-frequency noise, ensuring that crossovers between the ARSI and the Supertrend-derived Merged Line represent statistically significant momentum shifts rather than fleeting market anomalies. This unified framework replaces the need for an overlapping array of disparate indicators, offering a singular, high-contrast dashboard for absolute market clarity.
🔬 Methodology and Concepts
The internal architecture of this tool is built upon several synchronized analytical layers, heavily optimized to protect the integrity of the underlying logic while delivering seamless visual output.
● Adaptive Momentum Core
At the heart of the script is the ARSI, which abandons traditional static lookbacks in favor of a responsive differential tracking model. It evaluates the absolute range of price action against directional movement, feeding these differences through a recursive smoothing engine. This results in an oscillator that remains highly sensitive to genuine trend initiation while heavily penalizing sideways chop.
● Digital Signal Processing (DSP) Filters
The raw momentum data is processed through user-selectable DSP algorithms to extract the true signal from market noise. The Kalman Filter dynamically estimates the true state of momentum by balancing process noise against measurement noise, adapting instantly to volatility spikes. Alternatively, the LLAMA filter applies an efficiency-ratio-driven alpha scaling model, tightening its smoothing factor during periods of low efficiency and relaxing it during strong directional bursts.
● Oscillator-Bound Supertrend
Instead of applying a Supertrend to price, the script calculates a specialized ATR based on the frame-to-frame variance of the ARSI. It then projects upper and lower deviation bands around the ARSI, maintaining a directional bias based on trailing breakouts. The resulting baseline is then averaged with the DSP-filtered signal to create the "Merged Line," serving as the ultimate zero-lag trailing threshold for momentum.
● Multi-Factor Regime Scoring
The script continuously evaluates the broader market context by scoring four distinct components: the absolute level of the ARSI, the trigonometric angle of the ARSI trajectory, the state of the oscillator Supertrend, and the relationship of price to a macroeconomic baseline moving average. These factors are normalized and aggregated into a 0-100 Regime Score, offering a unified metric of trend health.
🎨 Visual Guide
The visual presentation is engineered for high-contrast, dark-mode optimized aesthetics, providing immediate, terminal-style data processing without chart clutter.
● Chart Elements
Color-Matched Candles: Price candles are painted based on the kinetic relationship between the ARSI and its signal line. Neon Cyan indicates strong bullish momentum, Dark Teal indicates weak bullish momentum, Deep Crimson indicates strong bearish momentum, and Maroon denotes weak bearish pressure. Slate Gray represents a neutral momentum state.
Dynamic Support/Resistance Boxes: Translucent, neon-bordered zones (Cyan for Support, Crimson for Resistance) highlight localized structural extremes, providing immediate context for price breakouts.
Trade Projection Labels: When crossover signals fire, dashed projection lines emerge, extending forward to display precisely calculated Entry (Slate), Stop Loss (Crimson), and multi-tiered Take Profit (Neon Green) levels based on dynamic risk-to-reward parameters.
Chart Angle Label: A floating text label displays the exact trigonometric angle and classification of the current trend (e.g., "Strong Uptrend / 45.2°").
● Oscillator Pane Elements
Adaptive RSI Line: Plotted with a dynamic gradient that transitions from Deep Crimson (extreme weakness) to Neon Cyan (extreme strength), instantly conveying momentum depth.
Merged Signal Line: A distinct Neon Purple to Deep Pink gradient line acting as the trailing support/resistance for the ARSI.
Divergence Histogram: Translucent Cyan and Red histogram bars plot the delta between the ARSI and the Merged Line, visualizing the acceleration or deceleration of momentum crosses.
Background Shading: The oscillator pane background shifts to a deep blue/purple tone during overbought (above 80) and oversold (below 20) extremes. A striking Electric Gold background illuminates periods where momentum enters a highly compressed "Squeeze" state.
Signal Markers: Crisp "BULL" (Cyan) and "BEAR" (Red) text labels appear on the oscillator when fully validated crossovers occur.
● The Analytics Dashboard
A fixed, dark-background HUD presents granular telemetry using segmented block bars and color-coded text for rapid scannability:
ARSI Level: Percentage reading of the current momentum state.
Signal Strength: Block visualization of the DSP-filtered baseline.
Angle Momentum & Acceleration: Metrics tracking the velocity and delta-velocity of the trend trajectory.
Supertrend & Market Bias: Text readouts indicating the dominant structural direction.
HTF Trend & Volume: Validation checks displaying the alignment of higher timeframes and localized volume surges.
Volatility ATR & Last Cross: Precise numerical readouts of market expansion and the duration since the last major signal.
Regime Score: The composite 0-100 metric, color-coded from Crimson (Bear) to Neon Magenta (Transition) to Cyan (Bull).
📖 How to Use
Identify Momentum Regime: Monitor the Dashboard's Regime Score. A score above 70 combined with a Neon Cyan ARSI line indicates an environment where long positions are statistically favored.
Trade the Crossover: Wait for the ARSI to cross the Merged Line. Validated crosses will generate a distinct "BULL" or "BEAR" label. Check the Dashboard to ensure the Volume Filter and HTF Trend are aligned (marked with a green checkmark).
Navigate Squeezes: When the oscillator background turns Electric Gold, the market is experiencing a severe volatility contraction. Avoid initiating new positions during the squeeze. Wait for the background color to clear, accompanied by an Alert indicating a Squeeze Breakout, before trading the subsequent expansion.
Manage Risk via Trade Labels: Upon a valid signal, utilize the automatically projected Entry, SL, and TP lines on the main chart to structure your position sizing according to the script's ATR-derived risk mechanics.
⚙️ Inputs and Settings
ARSI & Signal Lengths: Controls the primary lookback periods for the oscillator and its baseline.
Signal Filter Type: Select between RMA, Kalman Filter, or LLAMA to dictate the specific mathematical model used for noise reduction.
Supertrend ATR Length & Factor: Adjusts the sensitivity and width of the volatility bands applied to the oscillator.
Volume Filter Multiplier: Determines the threshold required for volume validation (e.g., 1.5 requires volume to be 50% above its moving average).
HTF Timeframe: Defines the higher timeframe used for macro-trend alignment (defaults to Daily).
Squeeze Angle Threshold: The maximum absolute angle permitted to trigger a volatility contraction state.
Trade Labels (Risk:Reward): Allows fine-tuning of the Stop Loss padding and the precise ratios for TP1, TP2, and TP3 targets.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator relies on a robust foundation of applied mathematics and digital signal processing. The core methodology employs non-linear dynamic state estimation. Unlike standard moving averages that suffer from inherent group delay, the integration of algorithms akin to the Kalman filter allows the script to recursively project the next state of momentum and update that projection based on incoming price data. This minimizes lag while aggressively smoothing standard deviation anomalies.
Furthermore, the application of volatility banding (ATR) directly to an bounded oscillator (RSI) represents a shift from price-domain analysis to momentum-domain analysis. By calculating the variance of the momentum itself, the script acknowledges that momentum has its own distinct volatility profile, independent of price action. The kinematics of the trend are evaluated using trigonometric functions to derive the slope (velocity) and the rate of change of the slope (acceleration). This multidimensional approach ensures that signals are not generated merely by price crossing a threshold, but by a mathematically validated shift in the kinetic energy of the market.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. インジケーター
Dynamic Gravity Attractor (DGA) [MarkitTick]💡 An advanced technical indicator designed to identify, weight, and visualize significant price zones using a physics-inspired gravitational model. By treating historical price pivots as physical masses that exert gravitational pull on the current price, this tool dynamically highlights levels of high structural importance. This offers traders a unique, quantitative perspective on support, resistance, and the overarching market equilibrium based on continuous volume and touch data.
✨ Originality and Utility
Unlike standard static support and resistance indicators that simply draw horizontal lines at arbitrary swing highs and lows, this system introduces a dynamic, weighted engine based on volume execution and touch frequency.
Traditional indicators often clutter the chart with dozens of obsolete lines. This tool resolves the issue by clustering proximate price levels using an Average True Range based spatial resolution. This synthesizes fragmented levels into cohesive, highly actionable Gravity Zones.
The core utility lies in its ability to quantify the relative strength of these zones using a gravitational constant. Instead of merely sorting by recency, it sorts by actual structural pull. This allows traders to cleanly distinguish between minor intraday speed bumps and major macroeconomic price attractors that have a high probability of influencing future price routing.
🔬 Methodology and Concepts
The script operates on a robust foundation of interconnected logical pillars, ensuring a precise reading of historical market structure:
• Pivot Detection and Clustering: The indicator identifies standard non-repainting pivot highs and lows using a defined lookback window. Instead of plotting each pivot individually and causing chart noise, it evaluates if a new pivot falls within an existing cluster radius. This radius is dynamically determined by a user-defined percentage of the 14-period Average True Range. If a match is found, the cluster aggregate price, volume, and touch count are updated using a volume-weighted average formula.
• Mass Calculation: Each clustered zone is assigned a quantitative mass. This mass is a blended metric derived from the total trading volume transacted at that specific level and the frequency of price touches it has endured. Users can dynamically adjust the weighting of these two components to favor volume-heavy execution levels or frequently tested psychological levels.
• Gravitational Pull: Applying a concept directly akin to classical physics, the indicator calculates the gravitational force of each active zone relative to the current closing price. The formula incorporates the zone calculated mass, a user-defined Gravitational Constant, and the inverse square of the absolute distance between the zone and the current price.
• Net Force and Equilibrium: By aggregating the gravitational pull of all active zones above the current price and subtracting the zones below, the script calculates a continuous Live Net Force. This net force dictates the overall directional bias of the underlying market structure.
🎨 Visual Guide
The tool provides a rich, multi-layered visual experience, utilizing dark-mode optimized palettes to allow traders to interpret complex market structures at a rapid glance:
• Gravity Zone Lines: Horizontal lines representing the clustered price levels. The strongest mathematical attractor is plotted with a solid line, while weaker zones use dashed line styles to indicate secondary importance. The thickness of the line directly correlates with its top-ranking status.
• Zone Colors: Levels situated above the current price are colored in a visual gradient from vibrant purple to deep violet, representing resistance or overhead gravity. Levels situated below are colored in a gradient from yellow to dark orange, representing support or underlying gravity. The color intensity and opacity scale dynamically with the calculated mass of each zone.
• Gravity Fields (Halos): Semi-transparent background boxes surrounding the strongest top-ranked gravity zones. The vertical height of the box represents the zone mathematical sphere of influence, calculated using the true range and the zone specific mass.
• Gravity Center: A distinct dotted cyan line plotting the weighted center-of-mass between the strongest overhead attractor and the strongest underlying attractor. This acts as the market current fulcrum.
• Dynamic Labels: Textual tags attached to the right of the gravity lines. These indicate the exact price level, an arrow denoting if the force is pushing up or down, and a percentage representing its gravitational strength relative to the maximum active zone.
• Heatmap Candles: The main chart candles are recolored based on the Live Net Force. A bullish bias paints the candles in a specific underlying color, while a bearish bias paints them in an overhead color. Border and wick colors adapt similarly to show micro-shifts in pressure.
• Gravity Dashboard: A comprehensive on-chart data table displaying the active number of tracked levels, the exact prices of the top upper and lower attractors, the Net Force bias, the current cluster size, and a visual block-bar representation of the highest active mass percentage.
📖 How to Use
• Trend Identification: Observe the Heatmap Candles and the Net Force metric on the Gravity Dashboard. A sustained bullish color bias suggests the price is being pulled upward by a stronger overhead attractor or violently pushed from a massive underlying support base. Traders should look to align their directional trades with this dominant net force.
• Targeting and Exits: Use the strongest Gravity Zone Lines as primary profit targets or areas to scale out of positions. Because these zones possess high mass, price tends to inevitably gravitate toward them over time.
• Entry Confirmation: Wait for the price to enter a Gravity Field. If price action demonstrates rejection patterns, long wicks, or volume anomalies within these specific halo zones, it provides a high-probability entry for mean-reversion trades.
• Equilibrium Trading: The Gravity Center line represents a literal point of balance between the primary opposing structural forces. Observing the price crossing, retesting, and holding this level can indicate a fundamental shift in structural control from sellers to buyers, or vice versa.
• Automated Alerts: The script includes built-in alert conditions for when the price comes within a tight proximity to the strongest above or below zones. It also fires alerts when the overall Net Force shifts direction. All alerts and webhooks are constructed as strictly formatted JSON strings designed for flawless third-party execution, dynamically calculating and including the Entry Price, the precise Take Profit target, and the exact Stop Loss invalidation price.
⚙️ Inputs and Settings
• History Depth (bars): Determines how far back in time the script looks to evaluate active pivots. A higher number tracks long-term macro zones, while a lower number focuses on immediate intraday structure.
• Number of Gravity Zones: Limits the maximum number of attractor lines drawn on the chart to prevent visual clutter.
• Level Cluster Resolution (ATR%): Controls how closely pivots must be to merge into a single, heavier zone. A higher value aggregates more historical levels together, creating fewer but stronger zones.
• Gravitational Constant G: A mathematical multiplier that scales the overall gravity calculations. Adjusting this tweaks the sensitivity of the Net Force output.
• Mass Components (Volume & Touch Weight): Fractional sliders allowing the user to adjust whether a zone mass is more heavily derived from transacted volume or the sheer number of times the price has historically tested the level.
• Minimum Touch Count: The baseline number of times a price level must be tested before it is officially registered as having enough mass to generate gravity.
• Visual Settings: Comprehensive toggles to independently turn lines, text labels, halo fields, the dashboard table, and center-of-gravity boxes on or off according to individual visual preference and chart cleanliness. All colors are fully user-configurable without hardcoding.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The tool borrows directly from classical mechanics, specifically the law of universal gravitation, to mathematically model financial market microstructure. In standard physics, the attractive force of gravity between two independent objects is directly proportional to the product of their masses and inversely proportional to the square of the distance between their centers.
In the context of this script, the current market closing price acts as a dynamic point mass navigating a static field of larger, stationary masses, representing the historical support and resistance clusters. The script operationalizes this concept by calculating Mass as a composite statistical index of cumulative trading volume and historical test frequency. Volume acts as the density of the price level, representing committed capital and trapped liquidity, while touch frequency represents the psychological reinforcement and memory of the level among market participants.
By rigidly utilizing the inverse square law of distance, the indicator mathematically guarantees that nearby price levels exert exponentially more influence on current price action than distant levels. This accurately reflects the highly localized nature of market liquidity, order book depth, and slippage. Furthermore, the clustering algorithm employs a dynamic threshold based on Average True Range, introducing a volatility-normalized spatial resolution. This specific mechanism ensures that the radius of a mass point expands in highly volatile environments and contracts in tight consolidations, strictly adhering to established principles of adaptive signal processing, robust statistical smoothing, and dynamic time warping.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. インジケーター
Liquidity Sweep Retracements [MarkitTick]💡An advanced analytical framework designed to decode market micro-structure by evaluating the depth, speed, and statistical probability of price pullbacks. Rather than relying solely on static Fibonacci levels, this tool dynamically tracks the historical characteristics of an asset's swing behavior, alerting the user to structural anomalies and shifts in momentum. By intersecting retracement analysis with liquidity sweep detection and a built-in heatmap, this framework offers a comprehensive lens into market behavior, isolating environments where trend continuation is highly probable versus areas prone to exhaustion.
✨ Originality and Utility
Standard market analysis often relies on rigid tools that do not adapt to changing volatility conditions. This script introduces a highly original dynamic evaluation method by actively saving the characteristics of recent price swings into an internal array and establishing a moving statistical baseline.
The primary utility of this script lies in its multidimensional analysis. It does not just measure how far price has pulled back; it calculates how fast the pullback occurred and compares this velocity to the asset's recent historical baseline. This enables the framework to categorize price action not merely as a "pullback," but as a statistically significant "Anomaly" or an "Aggressive" move. Furthermore, by weaving Higher Timeframe (HTF) trend alignments and localized liquidity sweep detections into a single, cohesive dashboard and visual charting environment, it reduces chart clutter while exponentially increasing the depth of available data.
🔬 Methodology and Concepts
● Swing Structuring and Pivot Detection
The foundational logic relies on identifying structural pivot highs and lows through a localized lookback and look-forward window. The algorithm requires a definitive peak or trough isolated by user-defined left and right bars, establishing the anchor points for all subsequent mathematical measurements.
● Dynamic Retracement Scoring
Once a swing structure is confirmed, the script calculates the exact percentage of the retracement relative to the preceding impulse. These percentages are continuously categorized into defined behavioral zones:
Impulse (Less than 23%)
Shallow (Less than 38%)
Healthy (Up to 61.8%)
Deep (Up to 78.6%)
Reversal (Beyond 78.6%)
● Retracement Momentum Velocity (RMV)
Time and price are merged to extract velocity. By dividing the total percentage of the retracement by the number of bars it took to form, the script generates a velocity reading. This reading is dynamically compared against an array of historical velocities to determine if the current counter-trend move is unusually aggressive.
● Statistical Anomaly Detection
The script manages historical arrays of past retracement data, calculating a rolling mean (average) and standard deviation. An anomaly is triggered when a live retracement deviates significantly from this moving baseline, determined by a user-defined standard deviation multiplier. This mathematically highlights structural shifts before they mature into full trend reversals.
● Liquidity Sweep Verification
The indicator actively monitors price interactions with localized structural extremes. A bullish sweep occurs when price pierces a recent significant low but closes decisively above it, creating a structural trap. Bearish sweeps apply the inverse logic to structural highs.
🎨 Visual Guide
● Heatmap Candles
The script overrides standard candle colors with a dynamic heatmap that visually translates the health and speed of the current retracement:
Green indicates a healthy, standard retracement zone.
Orange highlights a weak zone, suggesting the trend is losing foundational strength.
Red warns of a deep structural violation bordering on a reversal.
Purple explicitly signifies an aggressive Retracement Momentum Velocity (RMV), warning of high counter-trend momentum.
● Price Action Overlays and Labels
Pivot Highs and Lows are marked precisely with small red and green crosses. (Note: These appear retroactively once the defined right-side bars confirm the pivot).
Data Labels are plotted at swing extremes. These carry a dark blue-gray background with dynamic text colors. They display the exact retracement percentage alongside quality badges, anomaly alerts (orange for opportunity, red for danger), and RMV warnings.
● Liquidity Markers
When a sweep is detected, small distinct shapes appear. "LS" text markers are plotted in bright green below bullish sweeps and bright red above bearish sweeps, visually anchoring liquidity traps directly onto the price action.
● The Analytical Dashboard
Located in the top right corner, this panel serves as the central intelligence hub. It utilizes shaded backgrounds to organize critical data natively on the chart.
Retracement and Health bars utilize block characters (█/░) to visualize strength out of 100%.
HTF Alignment displays the macro bias via clear text and color codes (Green for Bullish, Red for Bearish).
The dashboard aggregates averages, velocities, and quality metrics into a readable, high-contrast matrix.
📌 Note : the best way to resolve visual overlap is to navigate to the Object Tree and drag the indicator above the main chart layer, or simply hide the native candles in your chart settings.
📖 How to Use
Traders should monitor the dynamic relationship between the visual candle heatmap and the dashboard metrics.
Trend Continuation: Look for retracements that remain within the "Healthy" or "Shallow" zones (highlighted by green candles and positive dashboard health scores) that align with a bullish HTF signal.
Anomaly Exploitation: If an anomaly label appears marking a shallow retracement (orange text warning), this historically suggests an unusually strong impulse where standard deep pullbacks may not materialize.
Exhaustion Warnings: If the candles shift to purple, indicating an RMV Aggressive state, the counter-trend velocity is statistically high. Traders may use this to delay entries until momentum normalizes, or to identify structural traps if this aggression ends in a marked Liquidity Sweep (LS marker).
⚙️ Inputs and Settings
• Swing Settings
Controls the sensitivity of pivot detection. Higher values filter out market noise for major swing structures, while lower values react quickly to micro-trends.
• Retracement and Anomaly Parameters
Dictates the maximum number of historical retracements held in the memory array. The Standard Deviation Threshold allows users to expand or contract the mathematical boundary for what qualifies as an anomaly.
• RMV (Velocity) Limits
Controls the aggression threshold. Adjusting the multiplier determines how much faster a retracement must be compared to the historical average to trigger the purple heatmap and aggressive warnings.
• Liquidity Sweeps
Defines the lookback length for identifying local highs and lows that act as liquidity pools.
• Alerts and Dashboard Configuration
Enables fully customizable JSON-formatted alerts based on statistical deviations, and allows users to toggle or completely restyle the visual dashboard and heatmap components.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
This indicator is heavily anchored in statistical mechanics and kinematics principles applied to financial time-series data.
• Gaussian Distribution and Variance
Instead of utilizing fixed geometric sequences (such as the Golden Ratio), the framework treats market swings as a dataset exhibiting normal distribution characteristics. By calculating the variance and extracting the standard deviation of historical swing depths, the script establishes mathematically sound confidence intervals. When price action breaches these standard deviation bands, it represents a statistically significant outlier, formally alerting the user to a fat-tail market event.
• Financial Kinematics
The integration of Retracement Momentum Velocity (RMV) introduces physics-based kinematic principles to price action. In traditional mechanics, velocity is the rate of change of position with respect to a frame of reference. The algorithm defines the frame of reference as the structural swing, calculating velocity as the percentage of displacement per unit of time (bars). By tracking the rolling average of this velocity, the script can algorithmically determine when kinetic energy in a counter-trend direction is statistically abnormal, independent of the actual price level reached.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. We expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. インジケーター
Smart Gap & Support and Resistance Breakout [MarkitTick]💡 This technical analysis script provides a highly sophisticated framework for market structure mapping, gap categorization, and breakout validation. By tracking structural pivot points and combining them with algorithmic gap analysis, the indicator systematically identifies areas of significant price imbalance and evaluates their impact on subsequent price action. The tool dynamically maps historical and developing support and resistance levels across multiple timeframes, integrating volume analysis and time-decay functions to ensure only the most relevant structural levels remain active. Designed for robust technical evaluation, it utilizes a strict non-repainting architecture for its multi-timeframe data retrieval, ensuring historical integrity during retrospective analysis.
✨ Originality and Utility
While many indicators plot basic support and resistance levels or highlight price gaps, this tool introduces a high degree of originality through its algorithmic synthesis and mashup methodology. The combination of structural pivot tracking and gap categorization is a deliberate and logical confluence. Gaps inherently represent sudden shifts in supply and demand, frequently acting as hidden support or resistance zones. By merging gap analysis with traditional pivot-based market structure, the script provides a unified view of market geometry.
Furthermore, the script distinguishes itself by categorizing gaps dynamically into three distinct types: Breakaway, Runaway, and Exhaustion. Rather than treating all price voids equally, it applies contextual logic—such as trend maturity and volume confirmation—to evaluate the probabilistic nature of the gap. The utility is further enhanced by an advanced multi-timeframe engine that overlays macro structural levels onto the active chart without introducing lookahead bias, providing traders with a pristine, top-down analytical perspective within a single pane.
🔬 Methodology and Concepts
● Structural Pivot Detection
The foundation of the script relies on identifying Swing Highs and Swing Lows.
A Pivot High is established when a specific high price is preceded and followed by a defined number of lower highs.
A Pivot Low is established when a specific low price is preceded and followed by a defined number of higher lows.
These points act as the empirical anchors for drawing support and resistance lines.
● Gap Categorization Engine
The script continuously scans for bullish and bearish price gaps (defined as a strict price void between the current low/high and the high/low of two bars prior, combined with directional candle confirmation). Once a gap exceeds the minimum size threshold, it is classified using the following methodology:
Breakaway Gaps (BW): Identified if the gap's occurrence coincides with the breaking of the most recently established structural pivot level. This signifies a forceful escape from a prior consolidation or trend phase.
Exhaustion Gaps (EX): Identified if the gap occurs after a prolonged trend duration (trend maturity) and is accompanied by a significant volume spike. This logic assumes that late-stage acceleration coupled with extreme volume often represents climatic buying or selling.
Runaway Gaps (RW): Any valid gap that does not meet the strict criteria for Breakaway or Exhaustion is classified as Runaway, representing standard trend continuation.
● Non-Repainting Multi-Timeframe Integration
To map higher timeframe (HTF) levels onto the lower timeframe (LTF) chart safely, the script employs a strict index-offset methodology. When fetching HTF pivot data, the script references the previous bar's calculated state while utilizing a lookahead parameter. This architectural design explicitly prevents future data leakage (lookahead bias), ensuring that historical backtesting and real-time execution behave identically.
● Breakout and Time-Decay Logic
Support and resistance lines are evaluated for breakouts based on closing prices. A breakout is only considered valid if the closing price decisively crosses the level and, if volume confirmation is enabled, the breakout bar's volume exceeds the defined moving average threshold. To maintain a clean visual workspace, levels can be subjected to a time-decay function, removing them from the chart after a user-defined number of bars.
🎨 Visual Guide
● Support and Resistance Lines
Green Lines: Represent active support levels derived from current timeframe pivot lows.
Red Lines: Represent active resistance levels derived from current timeframe pivot highs.
Thick Light Blue Lines: Highlight major support levels from the higher timeframe.
Thick Orange Lines: Highlight major resistance levels from the higher timeframe.
● Market Structure Labels
Red "HH" / "LH" Labels: Denote Higher Highs or Lower Highs at resistance pivots.
Blue/Green "LL" / "HL" Labels: Denote Lower Lows or Higher Lows at support pivots.
Purple "EH" / "EL" Labels: Indicate Equal Highs or Equal Lows.
● Gap Visualization Boxes
Blue Boxes: Highlight Breakaway Gaps (BW).
Orange Boxes: Highlight Runaway Gaps (RW).
Red Boxes: Highlight Exhaustion Gaps (EX).
Dotted Mid-Lines: Each gap box contains a dotted line calculating the exact mathematical midpoint of the gap, often acting as a highly reactive micro-level.
● Breakout Markers
Green Upward Triangles (▲): Plotted below the price to indicate a confirmed breakout of a resistance level. The number indicates how many distinct resistance levels were broken on that bar.
Red Downward Triangles (▼): Plotted above the price to indicate a confirmed breakdown of a support level.
Cyan/Orange Triangles: Represent breakouts of higher timeframe (HTF) levels.
📖 How to Use
● Interpreting Gap Signals
Breakaway Gaps: When a blue Breakaway gap forms, it suggests the initiation of a new directional phase. Traders typically monitor the borders of this gap to act as strong support or resistance upon any subsequent retests.
Runaway Gaps: The appearance of an orange Runaway gap confirms underlying trend strength. The midpoint of these gaps (the dotted line) is often used to gauge short-term trend health.
Exhaustion Gaps: A red Exhaustion gap serves as a cautionary signal. Because it indicates mature trend fatigue coupled with high volume, it suggests that the current directional momentum may be nearing a terminal phase or sharp retracement.
● Trading Support and Resistance Breakouts
Structural Mapping: Use the dynamically drawn S/R lines to identify the boundaries of the current market range.
Volume Confirmation: When the indicator plots a breakout triangle, ensure that it aligns with your broader directional bias. If the volume confirmation setting is active, the triangle inherently signifies that the breakout possessed above-average participation, increasing the mathematical probability of continuation.
Multi-Timeframe Confluence: Pay special attention when current timeframe price action interacts with the thicker HTF lines. A breakout that fractures both a LTF and HTF resistance level simultaneously carries significantly more structural weight.
⚙️ Inputs and Settings
● Swing Logic
Left Bars / Right Bars: Determines the number of bars required on either side of a candle to confirm a structural pivot. Higher values yield longer-term, more significant levels.
Max Stored Levels: Controls how many historical S/R lines remain active on the chart to prevent visual clutter.
Max Break Labels: Limits the number of historical breakout triangle markers displayed.
● Usability and Time Decay
Multi-Timeframe: Allows overriding the base timeframe for calculations.
Enable Time Decay: When activated, S/R levels that remain untested or unbroken will automatically expire and be removed from the chart.
Decay Period (Bars): The specific threshold of bars after which an untested level is deleted.
● Higher Timeframe (HTF) Levels
Enable HTF Levels: Toggles the calculation and plotting of macro S/R lines.
HTF Timeframe: The target timeframe for macro structural analysis (e.g., Daily, Weekly).
Hide Current TF When HTF Active: A visual filter to isolate only macro levels when desired.
● Algorithmic Filters and Analysis
Volume Confirmation: When true, breakouts are only validated if the bar's volume exceeds a moving average.
Min Gap Size (Points): Establishes a raw point threshold that a price void must exceed to be classified as a gap, filtering out negligible price skips.
Volume Spike Multiplier: The factor by which current volume must exceed the average to trigger Exhaustion gap logic.
Trend Maturity (Bars): The minimum number of bars a trend must have persisted from the last major pivot to allow for an Exhaustion gap classification.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Auction Market Theory and Liquidity Voids
The gap categorization matrix within this script is deeply rooted in Auction Market Theory (AMT). In AMT, price discovery is a continuous auction searching for liquidity. A gap represents a structural liquidity void—a pricing zone where no double-sided auction occurred due to extreme urgency from either buyers or sellers. The script's identification of Breakaway gaps mathematically isolates moments where this urgency successfully overcomes historical supply or demand nodes (the pivots). The dotted midpoint lines inside the gap boxes serve as theoretical "Fair Value" approximations for the void, representing the mean reversion target if the market attempts to repair the inefficient auction.
● Volume Spread Analysis (VSA) Integration
The Exhaustion gap classification heavily relies on principles derived from Volume Spread Analysis. In VSA, volume represents the effort of market participants, while price spread represents the result. The script mathematically quantifies an anomaly: when an extended trend (measured by the Trend Maturity parameter) produces a sudden gap on extreme volume (measured by the Volume Spike Multiplier), it implies climactic transfer of inventory from strong hands to weak hands. The algorithmic detection of these specific variables provides a quantifiable method for identifying trend exhaustion without relying on lagging, bounded oscillators.
● Fractal Market Geometry
By rendering both LTF and HTF structural pivots within the same visual plane, the script operationalizes the concept of fractal market geometry. Financial time series exhibit self-similarity across different scales. A pivot high on a 15-minute chart is formed by the same behavioral mechanics as a pivot high on a Daily chart, but they carry vastly different liquidity weights. The script's strict index-offset MTF architecture ensures that the geometric relationship between these distinct fractal layers is evaluated with absolute temporal accuracy, providing a mathematically sound representation of macro supply and demand overlaying micro price action.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. インジケーター
Acceptance Failure Path Map [AGPro Series]Acceptance Failure Path Map
🧠 Core Idea
Did price truly accept beyond a market boundary, or did that acceptance fail and create a new reaction path?
📌 Overview / What it does
Acceptance Failure Path Map is a market-structure visualization tool designed to study acceptance, failed acceptance, reclaim attempts, and continuation behavior around a defined reference range.
The script maps an acceptance band, detects whether price holds above or below that band, and highlights when accepted price fails back through the boundary. It produces compact labels, a centered path zone, right-side state tags, and an AG Pro panel that summarizes the current acceptance context.
It does not predict price direction, automate decisions, or claim that any acceptance event must continue. Its purpose is to make acceptance quality easier to read.
🎯 Purpose & Design Philosophy
This script was built for traders who want to understand whether a move is being accepted by the market or rejected after a temporary push beyond structure.
Many breakout tools mark only the breakout event. This script focuses on what happens after the breakout: acceptance, failure, reclaim pressure, and continuation risk.
The design supports a patient, context-first workflow where the trader reads the path of price around a boundary instead of reacting to a single candle.
⚡ Why This Script Is Different
Most tools focus on breakout signals, support and resistance touches, or simple range breaks.
This script does NOT treat every break as meaningful acceptance.
Instead, it builds a path map around acceptance quality, failure timing, reclaim behavior, and current risk state. The result is a cleaner view of whether price is holding acceptance or losing it.
⚙️ Methodology
1. Context Detection
The script builds a reference range from recent market structure and applies an ATR-based buffer to reduce noise.
2. Reference Mapping
It defines upper and lower acceptance boundaries and tracks whether price closes beyond them for the required number of bars.
3. Reaction Evaluation
After acceptance appears, the script monitors whether price fails back through the boundary, attempts reclaim, or holds continuation.
4. Visual Output
The chart displays an acceptance path zone, event labels, right-side state tags, and a panel summarizing the current condition.
🗺️ How to Read the Chart
Zones show the current acceptance path area around the active boundary.
Labels highlight acceptance above, acceptance below, acceptance failure, reclaim tests, and held acceptance.
Colors separate bullish acceptance, bearish acceptance, neutral failure risk, and reclaim context.
The panel shows the current path state, acceptance side, failure risk, path quality, reference range, active boundary, and next context.
🚦 Signals & States
• ACCEPT ABOVE → Price has accepted above the reference boundary.
• ACCEPT BELOW → Price has accepted below the reference boundary.
• ACCEPT FAIL → Accepted price failed back through the boundary within the failure window.
• RECLAIM TEST → Price is testing reclaim after a failed acceptance event.
• ACCEPT HELD → Acceptance remained valid after the failure window.
🔔 Alerts Logic
Alerts trigger when the script detects acceptance above, acceptance below, acceptance failure, or reclaim testing.
These alerts are attention markers. They are not trade instructions, entry signals, or guaranteed outcomes.
🧩 Confluence Logic
The context becomes stronger when acceptance quality, distance from the reference range, participation, and follow-through direction align.
If acceptance appears without follow-through or quickly returns through the boundary, the failure context becomes more important.
📊 When to Use
• After range breaks
• Around support and resistance transitions
• During breakout retests
• When price is attempting to hold above or below a major boundary
• When evaluating whether market structure is accepted or rejected
⚠️ When NOT to Use
• Extremely illiquid markets
• Very noisy low-timeframe candles
• News-driven spikes with unstable spreads
• Markets with no meaningful reference range
• Situations where a single indicator is being used without broader context
🎛️ Key Inputs
• Reference Range Length → controls how much structure is used to build the acceptance boundary.
• Acceptance Bars → controls how many closes are required before acceptance is recognized.
• Failure Window → controls how quickly accepted price must fail back through the boundary.
• Boundary Buffer ATR → adjusts the buffer around the reference range.
• Label and Panel Font Size → adjust chart readability.
• Visible Band Bars and Band Projection Bars → control how the acceptance zone appears on the chart.
🖥️ Interface & Visual Design
The interface is designed for a premium, clean chart view.
The panel provides the current summary. The acceptance zone carries the main story. Labels are compact and spaced to avoid hiding candles.
The visual hierarchy is intentionally simple: zone first, current state second, event labels third.
🧪 Practical Usage Workflow
1. Read the AG Pro panel to identify the current path state.
2. Check whether price is above, below, or inside the acceptance path zone.
3. Review recent labels to understand whether acceptance held, failed, or reclaimed.
4. Compare the current failure risk and path quality with broader market context.
5. Use alerts only as attention markers for further review.
🔍 Interpretation Guidelines
Acceptance is stronger when price remains outside the boundary with follow-through.
Acceptance failure is more meaningful when price quickly returns through the boundary after appearing accepted.
Reclaim tests should be interpreted as context changes, not automatic reversal signals.
Held acceptance suggests the market is continuing to respect the accepted side, but it still requires confirmation from broader structure.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an automated trading system.
It does not provide guaranteed buy or sell signals.
It does not replace risk management, market context, or independent analysis.
⚠️ Limitations & Transparency
Acceptance behavior can look different across timeframes.
High volatility can create temporary false readings.
Low-liquidity markets may produce unstable boundary behavior.
The script is rule-based and depends on the selected settings, symbol behavior, and chart timeframe.
🧠 Market Context Notes
Acceptance and failure are closely related to market structure, liquidity reaction, and participant commitment.
When price breaks a boundary but cannot hold it, the failed side may become the more important context.
When price accepts and holds, the market may be showing stronger directional commitment.
🧾 Use Case Examples
When price accepts above a range and holds beyond the failure window, the chart may show an ACCEPT HELD context.
When price accepts above a boundary but quickly closes back below it, the script may mark ACCEPT FAIL.
When price returns back toward a failed boundary, the script may show a RECLAIM TEST state.
🧱 System Philosophy
AGPro Series tools are built to visualize market context without turning analysis into prediction.
The goal is to make structure, risk, and reaction quality easier to observe in real time.
🔐 Non-Promise Statement
No script can guarantee market direction, timing, or outcome.
This tool provides structured visual context only.
📉 Risk Disclosure
Trading involves risk.
Users are responsible for their own decisions, risk management, and position sizing.
This script does not provide financial advice or guaranteed trading results.
📚 Educational Note
Use this script as a learning and analysis tool for studying acceptance, failed acceptance, reclaim pressure, and continuation behavior around market boundaries.
インジケーター
Range Control Transfer Map [AGPro Series]Range Control Transfer Map
🧠 Core Idea
Who controls the range now, and did control transfer from the buyer side to the seller side or from the seller side to the buyer side?
📌 Overview / What it does
Range Control Transfer Map is a range-control visualization tool built to study sideways markets where price rotates between upper and lower boundaries.
The script builds a mature range, separates it into buyer-control and seller-control zones, maps the internal control transfer band, tracks acceptance through that band, scores transfer quality, monitors failed-transfer risk, and summarizes the current control state in a compact AG Pro panel.
It does not predict future price, automate trades, or claim that a control-transfer event must continue. It is a structured decision-support map for reading range control, acceptance, failed transfer risk, and next-context conditions.
🎯 Purpose & Design Philosophy
Many range tools answer only one question:
Where are support and resistance?
This script was built to answer a more useful question:
Who controls the range now?
The design goal is to help traders separate passive sideways movement from meaningful control transfer inside a mature range.
⚡ Why This Script Is Different
Most range tools draw a box, mark the high, mark the low, and stop there.
This script does NOT treat every range touch as equally important.
Instead, it divides the range into buyer-control and seller-control halves, watches the midpoint transfer band, checks candle body commitment, reviews volume participation, evaluates range health, and tracks whether the active control side is still protected or starting to fail.
The focus is not only where the range is.
The focus is who is gaining or losing control inside it.
⚙️ Methodology
1. Range Detection
The script identifies a working range using recent high/low structure, ATR-normalized range height, and repeated edge interaction.
2. Range Health Scoring
Range Health combines range height balance, edge-touch behavior, and current position relative to the control line.
3. Control Zone Mapping
The upper half becomes the Seller Control Zone.
The lower half becomes the Buyer Control Zone.
The midpoint area becomes the Control Transfer Band.
4. Transfer Evaluation
When price accepts through the transfer band with enough candle body commitment, the script evaluates whether buyer or seller control has transferred.
5. Transfer Quality Scoring
Transfer Quality combines range health, candle body commitment, and volume participation into a 0-100 score.
6. Failure Risk Review
The script monitors whether the active transfer is losing the transfer band and moving back toward control reset.
7. Visual Output
The chart displays buyer/seller control zones, the control transfer band, active transfer labels, failed-transfer labels, right-side control tags, alerts, and a compact AG Pro panel.
🗺️ How to Read the Chart
Seller Control Zone = the upper half of the mature range where seller-side control is evaluated.
Buyer Control Zone = the lower half of the mature range where buyer-side control is evaluated.
Control Transfer Band = the internal midpoint band where control handoff is judged.
SELLER CONTROL = price has accepted through the transfer band in favor of the seller side.
BUYER CONTROL = price has accepted through the transfer band in favor of the buyer side.
BALANCE = the range is mature, but neither side has clean active control.
RANGE BUILDING = the current structure is not mature enough for control-transfer mapping.
Panel = summarizes control side, transfer quality, range health, failure risk, control zone, and next context.
🚦 Signals & States
• CONTROL TRANSFER UP → buyer-side control transfer detected.
• CONTROL TRANSFER DOWN → seller-side control transfer detected.
• FAILED BUYER CONTROL → buyer-side transfer failed back through the control band.
• FAILED SELLER CONTROL → seller-side transfer failed back through the control band.
• BUYER EDGE CONTROL → price reacts from the lower control side.
• SELLER EDGE CONTROL → price reacts from the upper control side.
• BALANCE → no clean control transfer is active.
• RANGE BUILDING → the structure is not mature enough yet.
🔔 Alerts Logic
Alerts trigger when a major range-control event appears.
• Buyer Control Transfer → buyer-side transfer detected.
• Seller Control Transfer → seller-side transfer detected.
• High-Quality Control Transfer → transfer quality reaches the required threshold.
• Failed Control Transfer → active control transfer loses the control band.
• Buyer Edge Control → optional alert for lower-edge control reaction.
• Seller Edge Control → optional alert for upper-edge control reaction.
Alerts are attention markers, not trade instructions.
🧩 Confluence Logic
The context becomes stronger when:
• The range has enough ATR-normalized height
• The range has repeated edge interaction
• Price accepts through the transfer band
• Candle body commitment supports the transfer direction
• Volume participation is not weak
• Transfer Quality is above the required threshold
• Failure Risk remains low after the transfer
• The panel state agrees with the chart label
When these elements do not align, the script avoids treating every range movement as a meaningful control shift.
📊 When to Use
• Range-control review
• Sideways market analysis
• Buyer/seller control mapping
• Failed transfer review
• Range acceptance study
• Crypto, stocks, futures, forex, and liquid markets
• 15m, 30m, 1H, 4H, and 1D charts
⚠️ When NOT to Use
• Very low-liquidity assets
• Extremely noisy micro timeframes
• Strong news spikes that distort range structure
• Clean one-directional trend environments with no mature range
• Markets where every midpoint cross is being over-interpreted
• Situations where a single label is expected to act as a guaranteed signal
🎛️ Key Inputs
• Range Lookback → defines the recent structure window used for range high, range low, and control line.
• Minimum Range Height ATR → defines the minimum range height required for a meaningful control map.
• Maximum Range Height ATR → prevents very wide structures from being treated as clean range-control maps.
• Use Intraday Adaptive Range → allows intraday charts to keep useful control maps without making higher-timeframe charts too noisy.
• Edge Touch Tolerance ATR → controls how close price must come to a range edge to count as an edge interaction.
• Control Band ATR → controls the thickness of the internal transfer band.
• Minimum Transfer Score → defines the quality threshold for meaningful control transfer.
• Minimum Body / Range → controls how much candle body commitment is required.
• Volume Confirm Ratio → defines how much participation is required for full volume credit.
• Failure Buffer ATR → controls where an active transfer starts to fail.
• Maximum Transfer Age → defines how long an active transfer can remain under review.
🖥️ Interface & Visual Design
The visual hierarchy is built around the active range:
The full range box defines the structure.
The upper half shows seller-control territory.
The lower half shows buyer-control territory.
The transfer band marks the internal handoff area.
Event labels mark control transfer and failed-control states.
Right-side tags keep buyer control, seller control, and transfer references visible.
The AG Pro panel compresses the current range-control context into a fast, readable summary.
🧪 Practical Usage Workflow
1. Read the panel Control Side.
2. Check whether the chart is Range Building, Balance, Buyer Control, or Seller Control.
3. Review where price is relative to the Control Transfer Band.
4. If a transfer label appears, compare it with Transfer Quality.
5. Watch whether Failure Risk remains low or starts rising.
6. Use the buyer and seller control zones as context areas, not automatic trade levels.
7. Confirm with broader market structure, liquidity, volume, and risk planning.
🔍 Interpretation Guidelines
A buyer-control transfer does not guarantee upside continuation.
A seller-control transfer does not guarantee downside continuation.
A failed-transfer label means the active control idea weakened.
A range-building state means the structure is not mature enough yet.
The script is best used as a range-control context layer, not as a standalone trading system.
🚫 What This Script Is NOT
This script is not a prediction engine.
It is not financial advice.
It is not an auto-trading system.
It does not provide guaranteed entry or exit signals.
It is not a simple support/resistance box.
It is not another generic range breakout indicator.
⚠️ Limitations & Transparency
Range quality depends on timeframe and market structure.
Very volatile markets can expand beyond a clean control map.
Low-liquidity symbols may create unreliable edge and transfer behavior.
Choppy markets can create repeated control-transfer attempts.
Volume behavior can differ across crypto, stocks, futures, and forex.
🧠 Market Context Notes
Ranges often move through recognizable control phases:
range building → balance → control transfer → defense → failure or continuation.
This script visualizes that sequence so users can avoid treating every support or resistance touch as equally meaningful.
🧾 Use Case Examples
If price accepts through the transfer band from the lower half, the script may mark CONTROL TRANSFER UP.
If price accepts through the transfer band from the upper half, the script may mark CONTROL TRANSFER DOWN.
If an active buyer-control transfer loses the band, the script may mark FAILED BUYER CONTROL.
If an active seller-control transfer loses the band, the script may mark FAILED SELLER CONTROL.
🧱 System Philosophy
The goal is not to predict the next breakout.
The goal is to understand control inside the range.
This script treats range behavior as a sequence:
structure → control zone → transfer band → acceptance → defense or failure.
🔐 Non-Promise Statement
No control-transfer label guarantees continuation.
No failed-transfer label guarantees reversal.
No range zone guarantees support or resistance.
All outputs should be interpreted as analytical context.
📉 Risk Disclosure
Trading involves risk.
This script is for educational and analytical purposes only.
It does not provide financial advice, investment advice, or guaranteed trading outcomes.
Users are fully responsible for their own decisions, risk management, and trade execution.
📚 Educational Note
Use the script to study how control shifts inside mature ranges.
The most useful question is not only where the range high and low are.
The better question is whether control has actually transferred inside the range.
インジケーター
インジケーター
インジケーター
Breakout Retest Readiness [AGPro Series]Breakout Retest Readiness
🧠 Core Idea
Is the post-breakout retest being accepted with structure, or is the breakout losing quality at the risk edge?
📌 Overview / What it does
Breakout Retest Readiness is a chart-first planning tool built to evaluate what happens after a confirmed breakout and after price starts interacting with the retest pocket.
The script maps the broken structure level, builds a retest pocket around it, places a risk-edge shelf beyond the pocket, and projects a target-room guide for context. It then scores the active retest environment with a 0-100 Acceptance Score and displays a clear next-action state in the AG Pro panel.
This script does not predict continuation. It does not automate entries. It is designed to organize post-breakout retest context so traders can review acceptance, rejection, risk edge, and plan quality in a cleaner way.
🎯 Purpose & Design Philosophy
Most breakout tools focus on the moment price crosses a level. In practice, many useful decisions happen after the break, when price returns toward the broken level and either accepts it or fails around it.
This script was built for traders who want a structured retest planning layer rather than another basic breakout marker. It supports a patient workflow: wait for structure, observe the pocket, evaluate acceptance, and review risk before reacting.
The design philosophy is simple: the chart should answer what state the retest is in, how strong the acceptance context is, where risk is being tested, and what the next review step should be.
⚡ Why This Script Is Different
Most tools focus on detecting a breakout or grading the first retest as a standalone signal.
This script does NOT try to clone a classic break-retest quality grader, and it does not print simple buy or sell commands.
Instead, it works as a post-breakout readiness planner. It arms a retest pocket after a confirmed breakout, waits for price to interact with that pocket, evaluates acceptance versus rejection, tracks the risk edge, and keeps the next-action state visible in the panel.
The difference is the decision layer. The script is less about saying "a retest happened" and more about answering whether the active retest environment is constructive enough to keep reviewing.
⚙️ Methodology
1. Context Detection
The script identifies a confirmed break beyond recent structure using a prior high or prior low reference. The breakout must clear the structure by an ATR-normalized buffer so minor pokes are filtered.
2. Reference Mapping
After a valid break, the script stores the breakout line, builds a retest pocket around it, places an invalidation shelf beyond the broken level, and projects a target-room guide from the prior structure range.
3. Reaction Evaluation
When price interacts with the retest pocket, the script evaluates breakout quality, retest depth, wick rejection, volume change, and trend agreement. These components combine into a 0-100 Acceptance Score.
4. Visual Output
The chart shows the active retest pocket, breakout line, risk edge, target guide, compact event labels, and the AG Pro panel. The panel summarizes retest state, acceptance score, breakout quality, risk edge, and action.
🗺️ How to Read the Chart
Retest Pocket = the zone around the broken structure level where price is being evaluated after the breakout.
Breakout Line = the structure level that was crossed and now anchors the retest plan.
Risk Edge = the invalidation shelf beyond the retest pocket. It is a planning reference, not a stop recommendation.
Target Guide = a target-room marker projected from the prior range. It is context only, not a forecast.
Labels = compact state markers such as ARMED, TEST, ACCEPT, REJECT, RISK EDGE, or EXPIRE.
Colors = bullish retest plans use the AGPro teal tone, bearish plans use the AGPro pink tone, watch states use indigo or amber, and risk conditions use red.
Panel = the main decision interface showing retest state, acceptance score, breakout quality, risk edge, and next action.
🚦 Signals & States
• Breakout Armed → a breakout retest plan has been created after price cleared structure.
• Testing Pocket → price is interacting with the active retest pocket and acceptance is being evaluated.
• Accepted Retest → the retest has held the pocket with enough acceptance quality to deserve review.
• Rejected Retest → the retest has failed around the pocket and quality has weakened.
• Risk Edge Hit → price has moved beyond the mapped risk shelf.
• Expired → the retest window aged out before a constructive interaction.
🔔 Alerts Logic
Alerts are available for breakout plan arming, retest pocket interaction, accepted retest readiness, rejected retest or risk-edge pressure, and expired retest plans.
Each alert is an attention marker. Alerts do not represent trade instructions, guaranteed outcomes, or automated strategy decisions.
🧩 Confluence Logic
The strongest acceptance context appears when the breakout quality, retest depth, wick rejection, volume behavior, and trend agreement support the same side.
When these components align, the retest score improves. When the pocket is too deep, volume behavior is poor, trend context disagrees, or the risk edge is pressured, the readiness state weakens.
📊 When to Use
• After clean breakouts from recent structure
• During trend continuation review
• When price returns toward a broken level
• When the trader wants to separate constructive retests from weak post-break reactions
• On liquid symbols where structure, volume, and candle behavior are readable
⚠️ When NOT to Use
• Extremely low-liquidity instruments
• Highly noisy lower timeframes
• News-driven volatility spikes
• Markets with no clear structure reference
• Situations where the breakout level is too close to major external obstruction
🎛️ Key Inputs
• Breakout Structure Lookback → controls the prior structure reference used for breakout detection.
• Maximum Bars To Retest → controls how long the script waits for the retest pocket to matter.
• Sensitivity → adjusts how strict the breakout and acceptance model should be.
• Minimum Acceptance Score → defines the score needed before accepted readiness can appear.
• Retest Pocket Width ATR → controls the width of the post-breakout pocket.
• Invalidation Shelf ATR → controls the mapped risk-edge distance beyond the broken level.
• Target Guide Range Multiple → controls the forward target-room guide.
• Visual Settings → control pockets, lines, labels, label density, label size, and forward rendering.
• Panel Settings → control panel visibility, location, theme, and font size.
🖥️ Interface & Visual Design
The interface is built around a clean AG Pro panel and one main chart object family: the retest pocket.
The pocket label is centered inside the zone so the active state is visible without needing extra clutter. The breakout line, invalidation shelf, and target guide create a simple visual hierarchy: level, risk, and room.
Labels are intentionally compact and controlled by cooldown and maximum-visible settings so the chart remains active without becoming crowded.
🧪 Practical Usage Workflow
1. Read the panel state.
2. Locate the active retest pocket.
3. Check whether price is testing, accepting, rejecting, or pressing the risk edge.
4. Compare the Acceptance Score with the breakout quality.
5. Use the action row as a review prompt, not as an instruction.
🔍 Interpretation Guidelines
The Acceptance Score should be read as context quality, not certainty.
A higher score means the current retest has cleaner structural behavior under the script's rules. A lower score means the retest is less constructive, too deep, poorly supported, or not aligned with trend context.
The Risk Edge matters because a retest can look acceptable for a few bars and still lose structure if price pushes beyond the invalidation shelf. The panel keeps that condition visible.
🚫 What This Script Is NOT
This script is not a prediction engine.
This script is not financial advice.
This script is not an auto-trading system.
This script does not provide guaranteed signals.
This script is not a generic support and resistance map.
This script is not a clone of a first-retest grading tool.
⚠️ Limitations & Transparency
The script is rule-based and depends on the selected lookback, timeframe, and market structure.
Different symbols can produce different retest behavior. Lower timeframes may show more noise. Higher timeframes may produce fewer but stronger events.
Volatility changes can affect pocket size, risk-edge distance, and event frequency. Users should interpret every output within broader market context.
🧠 Market Context Notes
Breakout retests are most useful when structure is clear, liquidity is sufficient, and price has enough room to continue without immediate obstruction.
Volume behavior can add context, but volume data quality varies across markets. When volume is unreliable, the script treats that component more neutrally.
The retest pocket is not a guaranteed support or resistance zone. It is a structured review area around the broken level.
🧾 Use Case Examples
When price breaks above recent structure and later returns to the pocket with a controlled pullback, the script can mark the retest as Testing Pocket or Accepted Retest depending on score quality.
When price breaks below structure but quickly pushes back above the pocket and pressures the mapped risk edge, the script can mark rejection or risk-edge pressure.
When a breakout never returns to the pocket within the selected time window, the script can expire the plan instead of keeping old context alive.
🧱 System Philosophy
AGPro tools are designed to support structured chart reading. The goal is not to add more random signals, but to turn market behavior into clearer states, cleaner context, and better review discipline.
Breakout Retest Readiness follows that philosophy by turning a common post-breakout question into a visible planning workflow.
🔐 Non-Promise Statement
No script can confirm future price direction with certainty.
This tool organizes retest context. It does not promise continuation, reversal, profit, or accuracy.
📉 Risk Disclosure
Trading involves risk.
All outputs from this script are educational and analytical in nature.
Users are responsible for their own decisions, risk management, position sizing, and market interpretation.
This script does not provide financial advice.
📚 Educational Note
Use the script to study how breakouts behave after price returns to the broken level. The most useful insight is often not the breakout itself, but how the market reacts when the level is tested again.
インジケーター
Reward Room Analyzer [AGPro Series]Reward Room Analyzer
🧠 Core Idea
Does the chart offer enough clean reward room before the next major obstacle?
📌 Overview / What it does
Reward Room Analyzer is a chart-overlay planning tool designed to evaluate whether the current price area has enough practical space before the next meaningful obstacle.
Instead of projecting a take-profit ladder or calculating position size, the script studies the distance from current price to the nearest target-side obstacle, the opposite invalidation reference, room-to-risk ratio, trend support, clean-air structure, and volatility fit. These inputs are converted into a 0-100 Reward Room Score with a clear state such as Open Room, Watch Room, Thin Room, Blocked Path, Risk Heavy, or No Room.
The script produces a forward reward room corridor, nearest obstacle rail, invalidation reference rail, compact chart labels, alert conditions, and a clean AGPro planning panel. It does not predict price movement, automate execution, or promise that any target will be reached.
🎯 Purpose & Design Philosophy
This script was built to solve a common planning problem: a setup can look attractive, but the path ahead may already be blocked by nearby structure, poor room-to-risk, or excessive invalidation distance.
Reward Room Analyzer helps traders review the quality of the space ahead before treating a setup as actionable. It supports a planner mindset: check the available room, identify the obstacle, compare room against risk, and then decide whether the chart deserves more attention.
It is designed for traders who care about trade planning, target path quality, risk awareness, and cleaner decision structure rather than another generic signal marker.
⚡ Why This Script Is Different
Most tools focus on drawing take-profit levels, R-multiple ladders, Fibonacci extensions, or basic risk/reward boxes.
This script does NOT build a TP ladder, position-size calculator, profit tracker, or entry signal system.
Instead, it asks a narrower decision question: is there enough clean reward room before the next obstacle, or is the path already too thin, blocked, or risk-heavy?
⚙️ Methodology
1. Context Detection
The script selects the active target side using Auto Side, Long Room, or Short Room. Auto Side weighs trend support and available room.
2. Reference Mapping
It maps confirmed obstacle pivots, the nearest target-side rail, the opposite invalidation reference, and ATR-normalized reward room.
3. Reaction Evaluation
It scores the room using distance to obstacle, room-to-risk ratio, clean-air structure, trend agreement, risk distance, and volatility fit.
4. Visual Output
It displays the active reward corridor, centered corridor label, obstacle/invalidation rails, compact labels, alerts, and an AGPro panel.
🗺️ How to Read the Chart
Reward Room Corridor = the forward space between current price and the nearest target-side obstacle.
Nearest Obstacle Rail = the first meaningful structural barrier in the selected target direction.
Invalidation Reference = the opposite-side reference used to estimate risk distance.
Labels = compact state markers showing the current reward-room condition and score.
Colors = teal and indigo suggest stronger room quality, amber suggests caution, and pink/red suggests weak or blocked room.
Panel = summarizes reward score, reward room, obstacle, room-to-risk, target side, and next action.
🚦 Signals & States
• Open Room → reward room is wide enough, room-to-risk is acceptable, and risk is not excessive.
• Watch Room → context is acceptable but not strong enough for the open-room state.
• Thin Room → the nearest obstacle is too close.
• Blocked Path → room-to-risk is weak relative to the invalidation reference.
• Risk Heavy → invalidation distance is too large compared with the available room.
• No Room → conditions are not strong enough for planning attention.
🔔 Alerts Logic
• Open Reward Room → triggers when the script enters the Open Room state.
• Watch Reward Room → triggers when watchable room appears without reaching Open Room.
• Blocked Reward Path → triggers when room-to-risk becomes structurally blocked.
• Thin Reward Room → triggers when the nearest obstacle is too close.
• Risk Heavy Room → triggers when invalidation distance is heavy relative to room.
Alerts are attention markers. They are not trade instructions.
🧩 Confluence Logic
Reward room quality improves when the target-side distance, room-to-risk ratio, clean-air structure, trend agreement, balanced risk distance, and stable volatility align.
The strongest read appears when the corridor is visibly open and the panel confirms sufficient room with a strong score.
インジケーター
AG Pro Liquidity Heatmap [AGPro Series]AG Pro Liquidity Heatmap
Overview / What it does
AG Pro Liquidity Heatmap is a visual liquidity-mapping tool designed to project areas where resting stop interest is more likely to be concentrated. Instead of focusing on a single pattern or a one-bar signal, this script builds a forward-looking heatmap from clustered pivot behavior and displays that information as persistent horizontal liquidity bands on the chart.
The core idea is simple: repeated reactions around similar price levels often create zones where traders place stops, breakout orders, or defensive exits. When those levels begin to cluster, they can become structurally important. This script converts that clustering behavior into a heat score and renders it as layered Fire / Ice bands so traders can quickly identify where liquidity concentration may be building above or below current price.
The script is not built as a prediction engine, and it does not attempt to claim where price must go next. Its purpose is to help traders organize the chart, monitor the nearest active liquidity bands, and understand which nearby levels appear more saturated, more persistent, or already mitigated. In that sense, it is best used as a market-structure context tool rather than as a standalone entry model.
This script is also intentionally different from traditional support/resistance overlays, breakout detectors, and liquidity sweep labels. It does not merely mark recent highs and lows. It clusters pivot-derived levels, weights them into a dynamic heat score, extends them cleanly to the right side of the chart, and then updates or extinguishes them as price interacts with those zones.
Unique Edge
The unique edge of this script is that it treats liquidity as a developing field rather than a static line. A normal horizontal level script may show one prior high or one prior low. AG Pro Liquidity Heatmap instead tracks repeated pivot concentration, merges nearby levels into composite zones, scores those zones, and then visualizes the result as a layered heat structure.
A second differentiator is the lifecycle logic. Once a band has been interacted with, the script does not leave every level unchanged forever. Depending on the selected behavior, a zone can fade or be removed after liquidity is taken. This helps reduce visual clutter and keeps the chart focused on currently relevant liquidity structures rather than a permanently accumulating archive of old levels.
A third differentiator is presentation. The script is designed to produce a clean forward projection area with right-extending heat bands, readable labels, Fire / Ice theme control, a functional heatmap panel, and an optional EQ Magnet line that tracks the balance area between the nearest active upper and lower liquidity bands. The goal is not only analytical clarity, but also a chart layout that remains readable during live use.
Methodology
1) Pivot detection
The script first identifies pivot highs and pivot lows using user-defined left and right pivot lengths. These pivots are treated as candidate liquidity reference points.
2) Cluster merging
If a new pivot forms close enough to an existing level, based on an ATR-driven merge distance, the script merges that information into the existing zone rather than creating unnecessary duplication. This allows nearby pivots to accumulate into a stronger composite band.
3) Heat scoring
Each zone receives a heat score. Repeated clustering increases that score. When volume weighting is enabled, pivots formed with relatively stronger volume can contribute more heavily to the final score. This does not reveal actual order book liquidity, but it can provide a useful proxy for where market attention and stop concentration may be stronger.
4) Layered rendering
Each active zone is rendered as a multi-layer horizontal band. The band thickness and saturation scale with heat score, which makes stronger zones visually heavier than weaker ones. This helps the chart communicate intensity without requiring the user to read every value manually.
5) Liquidity lifecycle
When price reaches a zone, the script can either fade it or remove it depending on the selected extinguish mode. Optional mitigation tracking can leave a visual reminder of where liquidity was taken. This behavior is important because it keeps the heatmap adaptive rather than static.
6) Balance tracking
When both upper and lower active liquidity bands are available, the script can display an EQ Magnet line between the nearest bands. This is not a target call. It is a contextual balance reference that can help visualize the midpoint of the currently nearest active liquidity field.
States & Visual Elements
- Fire bands represent upper liquidity concentration derived from pivot highs.
- Ice bands represent lower liquidity concentration derived from pivot lows.
- Stronger zones become visually denser and more prominent as heat score rises.
- Zone labels display side, heat score, and price information in either compact or detailed mode.
- The Heatmap Panel summarizes active band count, nearest zones, strongest zones, heat balance, last sweep information, and the current extinguish behavior.
- The EQ Magnet line highlights the midpoint between the nearest active upper and lower bands when enabled.
- Optional mitigation tracks can remain on the chart after liquidity is taken.
How to use it
This script is generally most useful as a context layer.
Many traders may choose to use it in one of three ways:
- to map where price may interact with nearby liquidity concentration,
- to judge whether the closest active field is above or below current price,
- to avoid taking impulsive decisions directly into dense opposing liquidity.
The script can also be useful for chart organization. Traders who already use trend tools, structure tools, or trigger models may use the heatmap as a location filter. For example, a setup forming directly into a strong opposing liquidity band may deserve more caution than a setup developing in cleaner space.
Key Inputs
Pivot Left / Right Bars
Controls how pivots are detected. Smaller values can produce more frequent zones; larger values can make the structure more selective.
Cluster Merge Distance (ATR)
Defines how close pivots must be to merge into the same liquidity band. Lower values keep zones more separated; higher values create broader clustering.
Volume-Weighted Mode
Allows higher-volume pivots to contribute more strongly to heat score. This is a proxy weighting mechanism, not direct order-flow confirmation.
Minimum Heat Score To Show
Filters out weaker zones from the visual display.
Visual Saturation Score
Controls how quickly the visual intensity reaches its maximum appearance.
Base Band Height and Horizontal Band Density
Shape the visual footprint of each zone and determine how rich or minimal the rendered band structure appears.
Label controls
Allow the user to choose label mode, font size, theme, label offsets, and label density.
Panel controls
Allow the user to change panel visibility, location, theme, and font size.
Liquidity Taken Behavior
Determines whether mitigated zones fade or are removed.
Limitations & Transparency
This script does not access order book data, exchange liquidation feeds, or hidden liquidity information. The displayed heatmap is derived from chart-based pivot clustering and optional volume weighting. For that reason, the bands should be understood as technical liquidity proxies rather than direct measurements of real resting orders.
The heat score is also relative to the script's own internal logic. It is a ranking mechanism inside this model, not an absolute market-wide score. A higher score means a zone has accumulated more structural weight within the selected settings; it does not guarantee a reaction.
Like any chart tool based on pivots, the behavior of the script depends on the chosen timeframe, the selected sensitivity inputs, and the structure of the instrument being analyzed. Lower timeframes can create more noise, while higher timeframes can produce fewer but broader zones.
The EQ Magnet line is a contextual midpoint reference only. It should not be interpreted as a fixed target, a required destination, or a directional forecast.
Risk Disclosure
This script is a visual analysis tool for chart study and trade planning. It is not financial advice, not an execution system, and not a promise of future price behavior. Liquidity zones can fail, be overrun, or be ignored by price entirely.
No indicator should be used in isolation. Traders should consider market structure, volatility, risk management, execution quality, and their own process before making trading decisions. Always test settings carefully and use position sizing appropriate to your own risk tolerance.
インジケーター
Objective Market Structure FrameworkThis library provides a systematic, rule-based approach to categorize market movements into four objective phases: Compression, Expansion, Distribution, and Consolidation.
Instead of subjective chart patterns, this tool uses volatility-relative thresholds (ATR) and momentum filters to identify significant trading ranges and structural breaks.
Main Use Cases:
Clear & Compact MTF Visualization: Map higher-timeframe (HTF) market structures directly onto your lower-timeframe (LTF) charts. Provides a clean, non-cluttered overview for an intuitive display of key levels without overcomplicating the chart.
Automated Setup Classification: Assign specific trading setups to distinct market regimes (Uptrends, Corrections, Sideways Ranges). Enables rapid, objective analysis every trading day, eliminating the need for manual re-evaluation or "hunting" for the current trend state.
Core Features:
Volatility-Adaptive: Range calculations scale automatically with the market's current ATR, making the analysis relevant across all asset classes.
MTF-Optimized Performance: Engineered for professional Multi-Timeframe workflows. Fetch 19 structural variables with a single request.security() call to minimize script load and prevent memory errors.
Momentum Validation: Distinguishes between high-conviction structural breaks and low-momentum "noise" using body-to-ATR ratios.
Reliability & Stability: Built-in Guard-Clauses protect against "Bar 0" and "NA" runtime errors, even when requesting lower timeframe data from a higher timeframe chart.
Key Parameters (Customizable Defaults):
Distribution Threshold (e.g. 1.2): Identifies price movement beyond the established range to confirm trend strength.
Compression (e.g. 1.5x ATR): Detects low-volatility buildup phases.
Expansion (e.g. 4.0x ATR): Flags explosive "Huge Range" impulses.
How to use (Educational Example included):
The source code contains a fully functional MTF Dashboard example (commented out at the bottom). It demonstrates how to map the library’s output variables into a visual trading interface, showing HTF trend alignment and real-time market phases.
Quick Start (Implementation):
import arnipoer/PriceActionStructure/1 as pa
// Single request for all 19 structural variables
=
request.security(syminfo.tickerid, "D",
pa.get_structure(true, 1.0, close, 14, 1.2, 1.5, 4.0))
// Example: Visualization
plot(strHigh, color=color.aqua, title="HTF Structure High")
bgcolor(hugeRange ? color.new(color.purple, 80) : na, title="Expansion Alert")
Disclaimer: No financial advice. Trading involves significant risk. This is an analytical tool for professional traders to build their own systematic strategies. ライブラリ
インジケーター
Intraday Refuges/Shelters (RID)==========================================
RID (INTRADAY SHELTERS/REFUGES) INDICATOR
==========================================
*Fair warning: this may be more words than a humble, simple indicator truly
needs… but Claude insisted.
// ** INTRODUCTION ** //
RID (Intraday Shelters/Refuges) is a lightweight, fast, and easy-to-implement
indicator designed for monitoring price action on intraday timeframes — the same
ones used by institutional operators to execute their trades within each market session.
The indicator generates a framework of support and resistance levels automatically
calculated from the asset's Daily Opening Price (D.O.P.). These levels are established
using fixed percentages that have proven their effectiveness in institutional trading
for decades, constituting "textbook" references widely adopted by market professionals.
RID integrates as an optional module within our Weekly Shelters (RS) indicator, allowing
the operator to simultaneously control their weekly positions and, when conditions warrant,
move down to intraday operations without loading additional indicators or losing sight
of the higher timeframe.
// ** INDICATOR FUNDAMENTALS ** //
The foundation of RID rests on a proven market principle: the daily opening price acts
as a "psychological anchor" that influences participant behavior throughout the entire session.
Why does this method work?
• UNIVERSAL REFERENCE POINT: The daily opening price is objective data, visible to all
market participants simultaneously. Institutions, algorithms, and retail traders use it
as a common reference to calibrate their decisions.
• STANDARD PERCENTAGE LEVELS: The percentages used (0.382%, 1.0%, 1.5%, 2.0%, 2.5% and
extensions) are not arbitrary. They represent intraday volatility thresholds that have
historically acted as inflection points across multiple asset classes.
• SELF-FULFILLING PROPHECY EFFECT: When a critical mass of operators place orders at the
same percentage levels —whether for profit-taking, protective stops, or entries—
these levels become high-probability price reaction zones.
• INSTITUTIONAL RISK MANAGEMENT: Institutional trading desks frequently define their daily
loss limits and profit targets in percentage terms relative to the open. RID captures
this logic and makes it visible for retail operators.
The ±0.382% level deserves special mention: it's a derivation of the Fibonacci golden ratio
(0.382) applied to the intraday context, representing the first significant movement threshold
from the opening.
// ** INDICATOR OBJECTIVES ** //
1) Facilitate manual intraday trade execution by providing a framework of target prices
established under a scheme of mathematical certainty, eliminating subjectivity in
defining entries, exits, and stops.
2) Serve as a lightweight and modular tool, easily integrable —either as an overlay or
source code— with strategies and indicators specialized in intraday trade execution,
both manual and automated.
3) Provide a visual reference framework that allows the operator to quickly assess the
intraday market "temperature": Is price near a key support or resistance? Has it already
reached the session's typical movement target? Is it time to seek entries or protect profits?
// ** INDICATOR TECHNICAL FEATURES ** //
• 21 CONFIGURABLE LEVELS: 11 main levels (±0.382%, ±1.0%, ±1.5%, ±2.0%, ±2.5% and D.O.P.)
plus 10 extended levels (±3.0% to ±5.0%) for high volatility sessions. Each level can
be individually enabled or disabled according to operator needs.
• AUTOMATIC D.O.P. DETECTION: The indicator automatically identifies the start of each daily
session and captures the opening price without user intervention.
• CONFIGURABLE HISTORY LIMIT: Option to limit processing to the last N days (default: 3),
optimizing performance on very low timeframes (1m, 5m) where excess historical data can
slow down the chart.
• PROFESSIONAL VISUALIZATION: Labels with formatted price (thousands separators) and
percentage, placeable with configurable offset. The D.O.P. level (0%) is highlighted
with differentiated width.
• VERTICAL REFERENCE LINES: From D.O.P. to each level, facilitating visualization of the
percentage distance traveled.
• FULL CUSTOMIZATION: Colors, widths, line styles (solid, dashed, dotted), label opacity,
and forward extension fully adjustable.
• PRICE SCALE INTEGRATION: Levels can be displayed on the right margin of TradingView,
controllable from the indicator's Style tab.
• BAR REPLAY COMPATIBILITY: Works perfectly with Bar Replay for back-testing
intraday strategies.
• OPTIMIZED PERFORMANCE: Efficient architecture with persistent arrays and intelligent
updating, suitable for timeframes down to 1 minute.
// ** OPERATING INSTRUCTIONS ** //
INITIAL SETUP:
1) Load the indicator on a chart with 4H or lower timeframe (1H, 30m, 15m, 5m, 1m).
2) Enable "Limit history by days" and adjust "Maximum days to display" according to your needs:
• For scalping (1m-5m): 1-2 days
• For day trading (15m-1H): 2-3 days
• For intraday swing (4H): 3-5 days
OPERATIONAL USE:
3) Identify the D.O.P. (0% line): This is your central reference point for the session.
4) Observe current price position relative to levels:
• Price above D.O.P. → Session with bullish bias
• Price below D.O.P. → Session with bearish bias
5) Use levels as:
• ENTRIES: Look for reversal signals when price reaches S1-S5 (buys) or R1-R5 (sells)
• TARGETS: Set take-profits at the next resistance level (longs) or support (shorts)
• STOPS: Place protective stops beyond the immediate opposite level
PRACTICAL RULES:
6) The ±1.0% and ±2.0% levels are historically most respected; prioritize them.
7) If price exceeds ±2.5% from open, it might be time to take profits and close your position
or consider enabling extended levels (±3.0% to ±5.0%).
8) High volatility days (news, earnings): wait for price to respect at least one level
before trading in its direction.
9) Combine RID with other indicators from our ecosystem (RS, RMP, RLP/RLPS) to confirm level
confluence across multiple timeframes.
VISUAL OPTIMIZATION:
10) For clean charts: keep enabled only main levels (±0.382% to ±2.5%).
11) For detailed volatile asset analysis: also enable extended levels.
12) Adjust "Label margin" to prevent overlap with current price.
// ** INTEGRATION WITH OTHER SHELTER VALUE INDICATORS ** //
RID is part of a complete shelter-based analysis ecosystem we have developed:
• RLP (Long-Term Shelters): For automatic determination of the preponderant phase
of a Zigzag, which institutional investors choose as the base of a Fibo whose
levels calculate order placement projection over the following months and years.
• RLPS (Simplified Long-Term Shelters): Simplified version of RLP where known
coordinates of the preponderant phase are captured, obtained through own analysis
or automatically with the RLP indicator.
• RMP (Medium-Term Shelters): Provides psychological shelter and resistance levels
that institutional investors establish at the beginning of each year. They
constitute the main framework used by professionals to plan operations
throughout the year.
• RS (Weekly Shelters): For short-term tactical analysis (4H, 1H) based on selected
phases of one or two Zigzags that define Fibo tracing, over recent major and minor
degree pauses, whose levels take effect during the current and following weeks.
• RID (Intraday Shelters): This indicator. For intraday operations based on levels
calculated from daily opening price, designed for 4H or lower timeframes,
including scalping strategies.
By combining RID with RLP/RLPS, RMP and RS, a multilevel scaffolding is built that
allows trading with clarity on any time horizon, from minute positions to operations
projected over months and years.
// ** NOTES ** //
• All comments regarding detected errors and improvement suggestions are welcome and deeply appreciated. Your feedback helps us refine these tools.
• To our Hispanic speaking friends, we sincerely regret to inform you that we have not
included the Spanish translation in the published version, due to our latent concern
regarding the ambiguous rules about prohibitions on publishing indicators documented
or described in languages other than English.
• Sharing is motivating because there’s no better way to receive genuine feedback
of real acceptance.
• RECOMMENDED VALIDATION METHOD: Use TradingView's Bar Replay to verify, session by
session, how price of your favorite asset interacts with RID levels. This personal
validation will give you statistical confidence before incorporating the indicator
into your actual trading.
Happy hunting in this magnificent jungle!
インジケーター
RLPS -Simplified Long-Term Support/Resistance Levels (Shelters)// Introduction //
RLPS (Simplified Long-Term Shelters) is a streamlined indicator designed for traders who have already identified the preponderant long-term phase of their assets and want to efficiently track multiple assets using pre-calculated Fibonacci levels.
IMPORTANT: Before using this indicator, you need to have determined the date-price coordinates of the preponderant phase (i0→i1 pivots) for your asset(s). These coordinates can be obtained using our master RLP indicator (Long-Term Shelters), which automatically helps to calculates them, or through your own research and analysis.
// Theoretical Foundation //
Many traditional institutional investors use the latest higher-degree market phase that stands out from others (longest duration and greatest price change on daily timeframe) to base a Fibonacci retracement on whose levels they open long-term positions. These positions can remain open to be activated in the future even years in advance. The phase is considered valid until a new, more preponderant phase develops over time.
RLPS allows you to manually input these pre-identified phase coordinates and draw Fibonacci levels that serve as Long-Term Shelter Levels—marking future trading points (entries, exits, risk management) that remain valid for months and even years.
// Key Features //
• Supports up to 5 different assets with permanently stored phase coordinates
• Dropdown selector to quickly switch between configured assets
• No ZigZag calculation required—user provides pre-calculated coordinates
• Timeframe-agnostic: levels remain constant across all timeframes
• Works with any price source (exchange) regardless of historical data availability
• Asset Information table with visual validation (✅ Match / ❌ No Match)
• Long-Term Historical Prices (LTHP): add up to 5 psychological price levels per asset (historical highs/lows, annual opening prices, etc.)
• Customizable Fibonacci levels, colors, styles, and label formatting
• Logarithmic scale support for volatile assets like cryptocurrencies
// Quick Start Guide //
STEP 1: In TradingView, select "Bitcoin / U.S. dollar" from Bitstamp Exchange (BITSTAMP:BTCUSD).
STEP 2: Configure the chart to Daily (D) timeframe.
STEP 3: Load the RLPS indicator. Initially no drawing appears (fields are empty by default).
STEP 4: Open indicator settings and activate "Practice Asset Data Table" in the GENERAL section.
STEP 5: A table appears with sample data for 5 assets. Locate "Bitcoin on Bitstamp":
- i0 Date: 2020-03-13 18:00 | i0 Price: 3850.0
- i1 Date: 2021-11-10 18:00 | i1 Price: 69000.0
STEP 6: Copy this data to "ASSET 1 - IDENTIFICATION AND DATE-PRICE PIVOT COORDINATES".
STEP 7: Verify "Asset 1" is selected in the dropdown and close settings.
STEP 8: You should now see the yellow diagonal phase line, horizontal Fibonacci levels, and the validation table showing "✅ Match".
STEP 9: Navigate the chart to verify how Fibonacci levels align with historical support/resistance zones.
// Important Notes //
• The sample data in the Practice Table was validated in 02/2026 and serves as reference only.
• It is your responsibility to validate or update the preponderant phase of your assets over time.
• Use our master RLP indicator to automatically find and calculate preponderant phases, then transfer the coordinates here for permanent tracking.
• You can deactivate the Practice Table once you've copied the data you need.
// Shelter Indicators Ecosystem //
RLPS is part of a comprehensive ecosystem of indicators for price action analysis based on shelter levels:
RLPS (Simplified Long-Term Shelters): This indicator. Simplified version of RLP that allows manual input of previously identified preponderant phase coordinates. Ideal for permanent operations with multiple assets across different timeframes.
RLP (Long-Term Shelters): Automatically identifies the preponderant Zigzag phase that institutional investors use as a reference to project Fibonacci levels. These levels determine order placement over the following months and years.
RMP (Mid-Term Shelters): Provides the psychological shelter and resistance levels that institutional investors establish at the beginning of each year. These form the main framework that professionals use to plan entry and exit operations throughout the year.
RS (Weekly Shelters): Tactical structural analysis indicator designed to precisely track price action and manage positions during current weeks.
RID (Intra-Day Shelters): For intraday operations based on levels calculated from the daily opening price. Designed for 1H timeframes or lower, including scalping strategies.
By combining RLPS, RLP, RMP, RS, and RID, you obtain a multi-timeframe framework that provides certainty and clarity to apply strategies grounded in price action, across any time horizon: from scalping to long-term investments.
// Final Notes //
We sincerely regret to inform you that we have not included the Spanish translation previously provided in our indicators, due to our significant concern regarding the ambiguous rules on publication bans related to indicators.
Sharing motivates. Happy hunting in this great jungle!
インジケーター
RLP V4.3 -Long Term Support/Resistance Levels (Refuges-Shelters)// Introduction //
We have utilized the Zigzag library technology from ©Trendoscope Pty Ltd for Zigzag generation, allowing users the freedom to choose which of the different Zigzags calculated by Trendoscope as "Levels and Sub-Levels" is most suitable for generating ideal phases for evaluation and selection as "most preponderant phases" over long-term periods of any asset, according to its particular behavior based on its age, volatility, and price trend.
// Theoretical Foundation of the Indicator //
Many traditional institutional investors use the latest higher-degree market phase that stands out from others (longest duration and greatest price change on daily timeframe) to base a Fibonacci retracement on whose levels they open long-term positions. These positions can remain open to be activated in the future even years in advance. The phase is considered valid until a new, more preponderant phase develops over time, at which point the same strategy is repeated.
// Indicator Objectives //
1) Automatically find the latest most preponderant long-term phase of an asset, analyzing it on daily timeframe while considering whether the long-term market trend is bullish or bearish.
2) Draw a Fibonacci Retracement over the preponderant phase (reversed if the phase is bullish).
3) The indicator automatically numbers and locates the 3 most preponderant phases, selecting Top-1 for initial Fibo drawing.
4) If the user disagrees with the indicator's automatic selection, they have the freedom to choose any of the other 2 Top phases for the Fibo drawing and its levels.
5) If the user disagrees with the amplitude or frequency of the initially drawn Zigzag phases, they can modify the Zigzag calculation algorithm parameters until one of the Top-3 matches the phase they had in mind.
6) As an experimental bonus, the indicator runs a popularity contest (CP) of "bullseye" daily price (OHLC) matches, subject to user-defined tolerance ranges, against all Fibo levels of the Top 3 selected phases, to verify which phase the market prices are validating as the most popular for placing trades. Contest results are displayed in the POP. CONTEST column of the Top-3 phases table. If the contest detects a change in the winning phase, a switch can be enabled to activate an alert that the user can utilize with TradingView's alert creator to display an alarm, send an email, etc.
7) This indicator was designed for users to find the preponderant long-term phase of their assets and manually record the date-price coordinates of the i0-i1 anchors of the preponderant phase. The Top-1 phase coordinates are shown in the Top-3 phases table where they can be captured. The date-price coordinates of all HH and LL pivots, from all Zigzag phases, can be displayed via a switch. With the pivots, the user can select a different phase than those automatically found by the indicator, according to the conclusions of their own research. Subsequently, the user can forget about this RLP indicator for a while and move on to apply in their normal trading our RLPS indicator (Simplified Long-Term Shelters), in which they can draw and simultaneously track the long-term shelters of up to 5 different assets, simply by entering their corresponding date-price coordinates, previously located with this RLP indicator or through their own observation.
// Additional Notes //
1) As of the this V4.3 publication date (01/2026), the Zigzag generation parameters were adjusted by default to find the long-term preponderant phases for the following assets: Bitcoin, Ethereum, Bitcoin futures BTC1! (all generated due to the 2020-2021 pandemic). It also provides by default the confirmed preponderant phases for the following assets: Apple, Google, Amazon, Microsoft, PayPal, NQ1!, ES1! and SP500 Cash.
2) Prices, phases, and levels shown on the graphic chart correspond to results obtained using daily Bitcoin data from the Bitstamp exchange, BTCUSD:BITSTAMP (popular here in Europe).
3) Any error corrections or improvements that can be made to the phase selection algorithms or the CP phase popularity contest algorithm will be highly appreciated (statistics and mathematics, among many other sciences, are not particularly our strong suit).
4) We sincerely regret to inform you that we have not included the Spanish translation previously provided, due to our significant concern regarding the ambiguous rules on publication bans related to indicators.
4) Sharing motivates. Happy hunting in this great jungle! インジケーター
Short-Term Weekly Refuges (Shelters)## // Introduction //
══════════════
Short-Term Weekly Refuges (Shelters) (WR or RS) is a structural analysis indicator designed to track price action during the current week. It combines a configurable ZigZag with Fibonacci retracements anchored to recent phases, using the Weekly Opening Price (W.O.P.) as a key reference level.
This indicator is optimized for 4H timeframe but also works on 1H and 15min charts.
## // Theoretical Foundation of the Indicator //
═══════════════════════════════
The WR (RS) indicator provides a structural framework for following price action during the current trading week.
The core concept: Recent ZigZag phases, combined with the Weekly Opening Price, create dynamic support and resistance levels that institutional traders often monitor and use for intraweek positioning. The indicator allows you to select which recent phase (1-10) serves as the Fibonacci anchor.
## // Indicator Objectives //
══════════════════
1) Display a configurable ZigZag showing recent price structure with numbered phases (1 = most recent). Users should configure the ZigZag parameters based on whether they are analyzing a Major Degree Pattern (larger swings, less noise) or a Minor Degree Pattern (smaller swings, more detail), following standard Elliott Wave terminology. Configure the ZigZag to match the degree of your analysis: use higher Depth values for Major Degree Patterns, or lower values for Minor Degree Patterns.
2) Draw Fibonacci retracements on a user-selected phase, with two modes:
• "On ZigZag": Traditional Fibonacci on the selected phase.
• "Relative to W.O.P.": Fibonacci from phase anchor (i0) to Weekly Opening Price.
3) Show Weekly Opening Price lines as horizontal references, with the current week's line extended into the future.
4) Provide Pivot Up/Down markers for additional confirmation of local highs and lows.
5) Support multiple simultaneous indicator loads with visual identifier labels to distinguish between different analysis degrees (e.g., "Major Degree Pattern" vs "Minor Degree Pattern").
6) Optional Embedded Indicator: Enable Intraday Shelters (RID) - percentage-based support/resistance levels calculated from the Daily Opening Price, useful for 1H and 15min trading.
## // Key Features //
══════════════
• **Flexible ZigZag**: Adjustable Depth, Deviation, and Backstep parameters to adapt to any asset's volatility.
• **Phase Selection**: Choose from the 10 most recent phases for Fibonacci anchoring.
• **Dual Fibonacci Modes**: Trace on the ZigZag phase itself, or relative to the Weekly Opening Price.
• **New Age Color Palette**: Professional Fibonacci color scheme used by old school experienced traders.
• **Weekly Opening Price (W.O.P.)**: Historical weekly opens plus current week projection.
• **"Show Only W.O.P." Mode**: Isolate just the Weekly Opening Price line for cleaner charts on non-4H timeframes.
• **Optional Intraday Shelters (RID)**: 11 percentage levels (±0.382%, ±1%, ±1.5%, ±2%, ±2.5%) based on Daily Opening Price.
• **Multi-Load Support**: Visual identifier tags and Large Label for running multiple indicator instances simultaneously.
## // Recommended Workflow //
═════════════════════
1) Load the indicator on a 4H chart.
2) Adjust ZigZag parameters (Depth, Deviation) until the phases match your visual analysis of recent price structure.
3) Select the phase you want to use as Fibonacci anchor (typically Phase 2, 3 or higher).
4) Choose Fibonacci mode: "On ZigZag" for phase analysis, or "Relative to W.O.P." for analysis based on weekly opening price context.
5) Monitor how price interacts with the Fibonacci levels and Weekly Opening Price throughout the week.
6) Optionally enable RID for intraday precision on 1H or 15min charts.
## // Integration with Other Refuge Indicators //
════════════════════════════════
WR (RS) is part of a complete refuge-based analysis ecosystem:
• LTR (RLP) (Long-Term Refuges): For automatic determination of the predominant phase of a ZigZag, which institutional investors choose as the basis for a Fibo whose levels calculate the projection for order placement over the following months and years.
• LTRS (RLPS) (Simple Long-Term Refuges): Simplified version of LTR in which the known coordinates of the predominant phases (obtained with the LTR indicator) of one or up to five assets are easily captured for permanent long-term operation.
• WR (RS) (Short-Term Weekly Refuges): (This indicator) For short-term tactical analysis (4H, 1H) based on chosen phases of a ZigZag that define Fibo levels generated during the near past week(s) and probably effective in the present week.
• IDR (RID) (Intra-Day Refuges): For daily operations relying on intraday levels on timeframes of 1H or less. Ideal for scalping traders.
By combining LTR, LTRS, WR and IDR, you obtain a multi-level framework that allows you to operate with clarity at any time horizon, from intraday positions to investments spanning months and years.
## // Additional Notes //
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1) Default parameters are optimized for volatile assets (crypto, tech stocks). For forex or less volatile instruments, consider reducing Deviation to 3-8%.
2) The "Phase in Development" (dashed line) shows the tentative current ZigZag segment that may still change as new bars form.
3) Bug reports, improvement proposals for the ZigZag generator, pattern determination, or Fibo composition, etc., will be greatly appreciated and taken into account for a future version. Best regards and happy hunting.
(Sorry: Spanish translation erased trying to avoid confusing publishing banning rules). インジケーター
Fibonacci Pivot Points & Previous D,W&M Highs/LowsIndicator Overview
This indicator combines Fibonacci Pivot Points with previous high and low levels for different timeframes (day, week, month). It plots these levels on the chart to provide traders with key support and resistance areas, making it easier to identify potential trading opportunities.
Features
Fibonacci Pivot Points:
The indicator calculates pivot points based on the high, low, and close prices.
Fibonacci levels are used to determine support (S1, S2, S3, S4, S5) and resistance (R1, R2, R3, R4, R5) levels.
Users can customize the Fibonacci levels for both support and resistance.
Previous Highs and Lows:
The indicator plots previous day, week, and month high and low levels.
Each of these lines can be customized in terms of visibility, color, and width.
This helps traders to see key historical levels that might act as support or resistance in the future.
Inputs and Customization:
Fibonacci Time Frame:
Users can select the timeframe for calculating the pivot points (Daily, Weekly, Monthly).
Fibonacci Levels:
Customizable input fields for each Fibonacci level (R1, R2, R3, R4, R5, S1, S2, S3, S4, S5).
Previous High/Low Lines:
Day Lines:
Options to show or hide previous day's high/low lines.
Customizable color and width for these lines.
Week Lines:
Options to show or hide previous week's high/low lines.
Customizable color and width for these lines.
Month Lines:
Options to show or hide previous month's high/low lines.
Customizable color and width for these lines.
Technical Calculations:
Fibonacci Pivot Points:
Calculated as:
pp = (High + Low + Close) / 3
S1 = pp - ((High - Low) * Fibonacci Level)
R1 = pp + ((High - Low) * Fibonacci Level)
Previous High/Low Levels:
Uses request.security to fetch previous high and low values for the selected timeframe.
Plotted using line.new to draw lines across the chart.
Plotting:
The indicator plots Fibonacci Pivot Points and previous high/low lines on the chart, using distinct colors for each level.
Customizable transparency and linewidths make it easier to visually interpret the levels.
This indicator is particularly useful for traders who rely on technical analysis to identify key support and resistance levels, offering a blend of historical data and Fibonacci-based predictions.
Feel free to ask if you have any specific questions or need further adjustments! インジケーター
