Indikator
MA Suite SMA + EMA [Institutional]MA Suite SMA + EMA
A single overlay that replaces a whole stack of separate moving-average indicators. It plots up to 6 fully configurable SMAs and 6 EMAs side by side, with everything you need to read trend structure at a glance — and nothing you have to fight with.
Core
- 6 SMA + 6 EMA slots, each with its own enable toggle, length, color, and line width.
- Sensible institutional defaults (20 / 50 / 100 / 150 / 200) with the 20, 50 and 200 emphasized by thickness.
- Disabled lines disappear from both the chart and the status line, so the data window stays clean — you only ever see the values you actually use.
Multi-timeframe
- Compute every MA from a higher timeframe (e.g. show daily MAs while viewing an intraday chart).
- Permanent 20-week and 200-week SMA anchors that hold their value on any lower timeframe, with optional smoothing to remove the weekly "staircase."
Slope projection
- Tick ext on any line to extend it forward along its current slope — a quick look at where a moving average is heading. The 200 SMA and both weekly anchors are projected by default.
Context tools
- % distance table showing how far price sits from each active MA — fast read on stretch and mean-reversion.
- Slope coloring (lines fade when falling) and an optional bias background (price above/below the 200 SMA).
- Golden / death-cross markers, a configurable ribbon fill, and an anchored VWAP with standard-deviation bands.
- Built-in alerts for MA crosses and price/MA crossovers.
One indicator, every moving-average reference an institutional trader actually looks at. Indikator
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Indikator
Arc Radius Trend [JOAT]Arc Radius Trend
Introduction
Arc Radius Trend is an open-source, overlay-based trend-following system that replaces the static ATR band of conventional supertrend-style indicators with a curved, acceleration-responsive radius. The band does not scale linearly with volatility alone — it also responds to how fast price is accelerating or decelerating, expanding when momentum surges and tightening when price action becomes uniform. This gives it a shape that mirrors how institutional participants view momentum: not as a constant envelope, but as one that breathes with the market.
The problem ART solves is over-sensitivity. Standard ATR-based trailing stops flip direction too freely during acceleration events, producing false exits at exactly the moment when the trend is strongest. By expanding the radius during acceleration, ART gives trends room to breathe without permanently widening the band for all conditions.
Core Concepts
1. Velocity and Acceleration from Price
ART computes price velocity as the EMA of the bar-to-bar change in close, and acceleration as the EMA of the change in velocity. Both use the same smoothing length. Acceleration is normalized by ATR so that it is dimensionless and comparable across instruments and timeframes:
velocity = ta.ema(ta.change(close), accelLength)
accel = ta.ema(ta.change(velocity), accelLength)
accelNorm = atr > 0 ? accel / atr : 0.0
2. Curved Radius Scaling
The base radius is ATR multiplied by a configurable multiplier. The acceleration norm is then used to scale that radius with a power function, creating a nonlinear expansion curve. The exponent (Curve Strength) controls how aggressively acceleration widens the band:
radiusScale = math.pow(1.0 + math.min(math.abs(accelNorm), 2.0), curvePower)
radius = atr * baseMult * radiusScale
3. Ratcheting Band Logic
The active band ratchets in the direction of the current trend. When price is above the band (bull), the lower band is preserved at its maximum achieved value, preventing it from retreating while the trend holds. The trend flips when price closes through the opposite band:
trend := close > upperBand ? 1 : close < lowerBand ? -1 : nz(trend , 1)
activeBand = trend == 1 ? lowerBand : upperBand
4. JOAT Institutional Expansion Layer
Each JOAT indicator carries a shared Expansion Layer — an adaptive spine built from price efficiency, Shannon entropy, Parkinson range volatility, and a market impact ratio. The spine tracks the dominant flow using an KAMA-style adaptive constant, and its width is scaled by ATR ratio, range volatility, and noise. Stress and calm rails extend beyond the outer context boundary and change color based on composite stress readings. Bull and bear regime shift nodes mark confirmed directional transitions in the expansion layer state.
Features
Curved radius expansion: Band width nonlinearly expands during price acceleration events
Ratcheting trend band: Lower band preserved on bull trend, upper band preserved on bear trend — no backward drift
Outer envelope: A second ring outside the active band provides an extended volatility reference
Trend-state candle coloring: Candles tinted to reflect current trend direction
Regime flip nodes: Circle markers on the active band at confirmed bull and bear regime transitions
JOAT Expansion Layer: Adaptive spine with efficiency/entropy scoring, context box, stress rails, calm rails, and shift nodes
Stress and calm telemetry rails: Outer halos that widen with impact ratio and volatility stress
Dashboard (top right): Live display of trend state, active band level, normalized acceleration, and last flip
All signals on confirmed bars: No repainting — all state changes fire only on barstate.isconfirmed
Input Parameters
Radius Model:
Radius ATR Length: ATR period for radius computation (default: 21)
Base Radius Multiplier: Baseline band width in ATR units (default: 2.4)
Acceleration Smoothing: EMA length for velocity and acceleration (default: 8)
Curve Strength: Power applied to acceleration scale — higher values expand the band more aggressively (default: 1.35)
Outer Envelope: Multiplier for the secondary outer ring (default: 1.65)
Display:
Trend-State Candles toggle
Show Dashboard toggle
JOAT Expansion Layer:
Efficiency, Entropy, Impact lengths; Adaptive Fast/Slow periods; Context Width
Spine, Context Box, Regime Nodes, Candle Tint, Projection Bars, and Opacity toggles
Independently configurable Bull, Bear, Neutral, and Accent colors
How to Use This Indicator
Step 1: Establish trend direction
Read the active band color and the dashboard. Green indicates bull trend; red indicates bear. Use this as the primary directional filter for entries.
Step 2: Watch for confirmed flip nodes
Circle markers at confirmed trend reversals mark the bar where the band direction changed. These are not entry signals — they are context anchors. Evaluate what triggered the flip (structural break, momentum loss) before acting.
Step 3: Use the outer envelope as a volatility reference
When price extends to the outer envelope, the market is in elevated acceleration. This is not necessarily a reversal signal — it may indicate trend continuation with excess momentum.
Step 4: Read the Expansion Layer spine
The JOAT spine color and state convey institutional flow independent of the ART band. Bull spine with bull ART band is high-confidence alignment. Divergence between the two (e.g., bull ART, neutral spine) suggests weakening conditions.
Indicator Limitations
Acceleration-driven radius expansion may produce very wide bands during high-velocity events, temporarily reducing the band's usefulness as a stop reference
The ratchet mechanism preserves the band in the trend direction — during prolonged consolidation, the band will not tighten until a directional break occurs
On very low-liquidity instruments, the ATR-based radius may be structurally noisy; increasing the ATR length reduces this
Arc Radius Trend does not generate entries. It identifies directional state and provides a trailing reference level
Originality Statement
Arc Radius Trend is original in its use of normalized price acceleration as a multiplicative, power-scaled modifier to ATR radius. Existing supertrend variants use static ATR multiples or linear volatility adjustments. The combination of:
Velocity → acceleration derivation applied to a curved radius (not a flat multiplier)
Power-function scaling that produces nonlinear radius expansion only during acceleration events
Ratcheting band logic that is conditioned on the curved radius (not a fixed channel)
An institutional expansion layer carrying efficiency, entropy, Parkinson range vol, and impact scoring as a second independent context layer
...makes ART a structurally distinct contribution rather than a parameter variation of existing published work.
Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any instrument. Trading involves substantial risk of loss. Past behavior of this indicator does not guarantee future results. All signals should be validated within a complete trading framework that includes risk management. The author is not responsible for trading losses resulting from the use of this indicator.
-Made with passion by jackofalltrades
Indikator
Market Regime RSI MatrixMarket Regime RSI Matrix (MRM)
Market Regime RSI Matrix (MRM) is a multi-timeframe momentum and market context framework designed to transform traditional RSI analysis into a broader market regime model.
Rather than relying on a single RSI reading from the active chart timeframe, this indicator combines RSI measurements from multiple independent timeframes into a weighted composite engine called the Master RSI. It then evaluates the degree of agreement between those timeframes, estimates the persistence of the current market condition, classifies the prevailing market regime, and visualizes these relationships through adaptive momentum zones and dashboard components.
The objective of this script is not to generate isolated buy or sell signals, but to provide a structured view of how momentum is distributed throughout the market across multiple horizons.
📊 How It Works
The indicator is built around a hierarchical momentum framework composed of several interconnected modules.
Multi-Timeframe Master RSI Engine
At the core of the indicator is the Master RSI, a composite momentum value constructed from up to ten independent RSI calculations.
Each timeframe can be individually selected and assigned its own weight.
The composite value is calculated as:
Master RSI =
Σ(RSI × Weight) / Σ(Weight)
This allows shorter-term traders to emphasize lower timeframes, while swing traders can prioritize higher timeframe momentum.
Unlike traditional RSI implementations, the resulting Master RSI represents the collective behavior of multiple market participants operating on different time horizons.
🤝 Consensus Engine
Momentum strength alone does not necessarily imply broad market participation.
To address this, the script measures how many monitored timeframes agree on directional bias.
Each timeframe contributes to a bullish or bearish count according to whether its RSI is above or below the equilibrium level:
Bullish TF:
RSI ≥ 50
Bearish TF:
RSI < 50
Consensus is then calculated as:
Consensus Score =
|Bull TF − Bear TF| / Total TF × 100
Higher values indicate stronger alignment among market participants.
For example:
Consensus = 90%
9 timeframes bullish
1 timeframe bearish
suggests broad agreement across the monitored horizons.
Lower values indicate disagreement and fragmented market participation.
📈 Trend Strength Module
The indicator estimates momentum persistence by smoothing the Master RSI through two exponential moving averages:
Fast Trend EMA = EMA(Master RSI, 5)
Slow Trend EMA = EMA(Master RSI, 13)
The distance between these two curves provides an estimate of directional intensity.
Trend conditions are classified into:
• Weak
• Moderate
• Strong
• Very Strong
This framework helps distinguish between stable trends and environments where momentum lacks conviction.
🎯 Probability Engine
The Probability Engine combines several independent components into a unified score designed to estimate the persistence of the current market condition.
Inputs include:
• Consensus alignment
• Trend strength
• Master RSI positioning
• Dynamic Fibonacci context
The model aggregates these components using weighted contributions:
Probability Score =
Consensus × 40%
+ Trend Strength × 30%
+ Fibonacci Context × 20%
+ RSI Position × 10%
The resulting value is expressed as a percentage.
Higher scores indicate that the current market condition exhibits stronger internal agreement within the framework.
The Probability Score is intended as contextual information and should not be interpreted as a prediction of future price movement.
📐 Adaptive Fibonacci Momentum Zones
Instead of relying on fixed RSI thresholds such as 30 and 70, the script constructs dynamic Fibonacci zones using the observed Master RSI range.
The calculation window automatically adapts to the chart timeframe through the Adaptive Lookback Engine.
Typical lookback behavior:
Lower timeframes:
Longer observation windows
Higher timeframes:
Shorter observation windows
Standard Fibonacci ratios are then projected throughout the observed Master RSI range:
0.000
0.236
0.382
0.500
0.618
0.786
1.000
These zones serve as contextual momentum regions rather than predictive targets.
The indicator additionally estimates the corresponding price levels associated with each momentum zone, allowing users to compare momentum structure with actual price location.
🌡️ Multi-Timeframe RSI Heatmap
To improve readability, the script provides a visual heatmap displaying RSI values from every monitored timeframe.
Each row represents one timeframe and its current RSI value.
Color intensity reflects the relative position of the RSI within its momentum range, allowing users to quickly identify:
• Broad directional alignment
• Divergence between short-term and long-term momentum
• Emerging transitions in participation
The heatmap is intended to complement the Consensus Engine by providing a more granular view of internal market structure.
🧭 Market State Engine
One of the defining components of the framework is the Market State Engine.
Rather than describing conditions simply as bullish or bearish, the indicator classifies the market into five distinct regimes:
Bull Trend
Occurs when:
• Consensus is elevated
• Trend strength is positive
• Probability is high
• Master RSI maintains strong momentum
This environment suggests broad participation and directional persistence.
Bear Trend
Occurs when:
• Consensus is elevated
• Trend strength is negative
• Probability is high
• Master RSI reflects persistent downside momentum
This environment suggests coordinated selling pressure across timeframes.
Accumulation
Occurs when:
• Consensus is limited
• Probability remains subdued
• Master RSI operates below equilibrium
This condition may represent balance-building phases where directional conviction has not yet emerged.
Distribution
Occurs when:
• Consensus remains weak
• Probability remains subdued
• Master RSI operates above equilibrium
This condition may indicate loss of participation following sustained advances.
Transition
Any market environment not satisfying the criteria above is classified as Transition.
These phases often occur during regime changes, trend exhaustion, or evolving participation dynamics.
⚙️ Customization Options
Users can configure:
• Up to ten independent RSI timeframes
• Individual timeframe weights
• RSI calculation length
• Signal smoothing length
• Adaptive or manual Fibonacci lookback
• Fibonacci visualization settings
• Heatmap visibility
• Dashboard display preferences
This flexibility allows the framework to adapt to different asset classes, trading styles, and analytical objectives.
📖 How To Use
Possible applications include:
Use Consensus as a directional filter.
Higher Consensus values suggest broader market agreement.
Monitor Probability before acting on directional setups.
Increasing Probability may indicate strengthening market conditions.
Use Market State to identify the dominant regime.
Trend environments and transitional environments often require different decision-making approaches.
Observe the Heatmap for internal divergence.
Conflicting lower and higher timeframe momentum may signal weakening participation.
Use Fibonacci Momentum Zones as contextual reference areas.
These regions are intended to frame momentum behavior rather than provide precise price targets.
The indicator is designed to complement existing analytical processes and may be combined with price action, market structure, volume analysis, or individual risk management techniques.
💡 Originality
This script represents an original framework that integrates weighted multi-timeframe momentum aggregation, participation consensus measurement, adaptive momentum zoning, probability modeling, and market regime classification into a unified analytical dashboard.
Its primary innovation lies in treating RSI not as an isolated oscillator, but as a distributed representation of market participation across multiple horizons.
The combination of:
• Weighted Master RSI construction,
• Consensus-based participation analysis,
• Adaptive Fibonacci momentum zones,
• Composite probability estimation,
• Multi-timeframe heatmap visualization,
• and Market State classification,
forms a cohesive framework designed to improve contextual awareness rather than generate deterministic trading signals.
This complete implementation was developed as an integrated analytical model and is not derived from any previously published TradingView script.
⚠️ Disclaimer
This script is provided for educational and informational purposes only.
It does not constitute financial advice, investment advice, trading advice, or a recommendation to buy or sell any financial instrument.
All calculations are derived from historical market data and mathematical transformations of price behavior. Technical analysis is inherently uncertain, and past performance does not guarantee future results.
Users should conduct their own research and apply appropriate risk management before making trading decisions. Indikator
McGinley Dynamic + LWPI ConfluenceWHAT IT DOES
This overlay combines two complementary reads of the market into a single confluence framework: the McGinley Dynamic, an adaptive trend line that speeds up when price runs and slows down in quiet conditions, and the Larry Williams Proxy Index (LWPI), a volatility-scaled balance-of-power oscillator. A signal prints only when both engines agree: trend direction from the McGinley Dynamic, momentum confirmation from the LWPI.
WHY COMBINE THEM
Every fixed-length moving average lags by a constant amount, which makes it too slow in fast markets and too jumpy in slow ones. The McGinley Dynamic addresses that by scaling its own smoothing factor with the ratio of price to its previous value — but, like any trend line, it says nothing about who is actually in control of the move. The LWPI measures exactly that: the average open-to-close pressure normalized by ATR. On its own, however, the LWPI whipsaws inside strong trends. Each component covers the other's blind spot, which is the reason for the mashup: the McGinley Dynamic decides direction, the LWPI decides timing.
HOW IT WORKS
1. Trend engine — McGinley Dynamic:
MD = MD + (price - MD ) / max(k * N * (price / MD )^4, 1)
The fourth-power ratio term automatically widens the divisor when price stretches away from the line, reducing overshoot and whipsaw versus EMAs of comparable length. Price above the line = bullish regime (line plots green), below = bearish (red).
2. Momentum engine — LWPI:
LWPI = 50 * SMA(open - close, N) / ATR(N) + 50
Readings below 50 mean closes are dominating opens relative to volatility (buyers in control); above 50, sellers are in control. Optional smoothing (SMA/EMA/WMA/RMA) is available for noisy symbols.
3. Confluence logic:
- Long state: price above McGinley Dynamic AND LWPI below 50
- Short state: price below McGinley Dynamic AND LWPI above 50
A triangle prints on the first bar a state becomes active. The optional candle coloring shows the full extent of each state; the dashboard in the top-right corner summarizes trend, momentum and confluence at a glance.
4. ATR reference bands:
Dotted bands at +/- ATR * multiplier around price provide volatility context, e.g. for evaluating whether a stop distance is realistic for the symbol and timeframe. They are informational and not part of the signal logic.
HOW TO USE IT
Works on any market and timeframe; it was designed with trending instruments in mind (crypto, FX majors, index futures). A simple workflow: read the regime from the line color, wait for the LWPI to hand momentum back to the trend side, and use the confluence triangle as your alert to start analyzing — not as an automatic entry. The three built-in alerts (long confluence, short confluence, trend flip) let you monitor multiple symbols without watching charts.
SETTINGS
All defaults are textbook values, not curve-fitted: McGinley length 14 with the standard 0.6 constant from the original formula, LWPI period 8, ATR 14 with a 2.0 multiplier. Every input is documented with tooltips.
CREDITS
The McGinley Dynamic concept belongs to John R. McGinley, CMT. The Larry Williams Proxy Index concept was popularized on TradingView by loxx, whose open-source work this script's momentum component builds on, with thanks.
DISCLAIMER
This is an educational tool for market analysis. It is not financial advice and no performance is implied or promised. Always do your own research.
Indikator
Velocity Breakout Strategy (VBS)Overview
The Velocity Breakout Strategy (VBS) is a comprehensive, institutional-grade swing trading system designed to identify high-probability momentum shifts. Rather than relying on a single lagging indicator, VBS synthesizes five distinct dimensions of market data: Macro Trend, Market Structure, Smart Money Concepts (SMC) valuation, Volatility (ATR/ADX), and Intrabar Volume Delta.
The goal of VBS is to filter out low-probability "chop" and only trigger entries when structural momentum aligns with aggressive buying volume.
Core Mechanics & Underlying Logic
1. Trend & Gradient Cloud Baseline The foundation of VBS is a multi-timeframe moving average system utilizing a Micro (9), Fast (20), and Slow (50) EMA. The relationship between the Fast and Slow EMAs paints a dynamic Gradient Cloud, instantly visualizing the macro trend.
2. Intrabar Volume Delta Estimation Standard volume tells you how much was traded, but not who was in control. VBS includes a custom Volume Delta Estimation engine. It approximates buying vs. selling pressure within a single candle by analyzing where the candle closes relative to its total high-to-low range.
The Filter: VBS can be configured to strictly block any buy signals if the current candle exhibits negative Delta (where estimated selling pressure outweighs buying pressure), preventing entries into hidden institutional distribution.
3. Smart Money Concepts (SMC) Valuation Zones VBS calculates a rolling 100-bar Dealing Range to map out institutional liquidity. It splits this range to identify "Premium" (overvalued) and "Discount" (undervalued) zones. The strategy actively looks for pullback entries (Reloads) when the asset drops into the Discount zone.
4. Volatility & Dynamic ATR Trailing Stops Risk management is handled by a responsive ATR Trailing Stop that adapts to the Average Directional Index (ADX).
During trending phases, the ATR multiplier is wide to let the trade breathe.
When the ADX detects a volatility "Squeeze" (ADX < 20), VBS dynamically tightens the ATR multiplier, protecting profits before a sudden volatile expansion occurs.
5. Master Candle Consolidation VBS scans for extreme volatility contraction using a "Master Candle" concept. If the price prints 4 consecutive bars entirely within the High/Low bounds of a previous Master Candle, the system arms a Breakout Trigger.
Entry Signals (When to Buy)
VBS generates specific, visual entry signals on the chart:
A+ Buy (Lime Triangle): A Golden Cross (20/50 EMA) occurs simultaneously with a verified Higher Low in market structure, backed by positive volume delta.
Risky Buy (Orange Triangle): A Golden Cross occurs, but the strict Higher Low market structure is not yet confirmed.
Bullish Reload (Blue Arrow): A zero-lag pullback entry. Price dips into the SMC Discount zone, touches the Fast EMA, and sweeps liquidity (long lower wick), closing with positive delta.
Consolidation Breakout (Purple Arrow): Price violently breaks the bounds of a 4-bar Master Candle consolidation in the direction of the macro trend.
Exit Strategy (When to Sell)
ATR Trail Exit (Red Down Triangle): The primary exit. Triggers when price closes below the dynamic ATR Trailing Stop.
Macro Break: A failsafe exit triggered if a Death Cross (20 EMA crossing under 50 EMA) occurs while holding a position.
The Strategy Manual: How to Use the Settings
We have built a professional-grade algorithm, which means it has "levers" designed to adapt to almost any market condition. Think of these settings as the steering wheel, gas pedal, and brakes for your strategy. Here is your complete manual on exactly what each setting does, when to change it, and how to use it.
1. Moving Averages & Trend These define the "macro environment." They tell the algorithm whether it is allowed to look for long setups or if it needs to stay out.
Micro EMA Length (Default: 9): The fast-moving trigger line. Decrease to 5 if you are scalping on a 1-minute chart. Increase to 12 if you want to ignore tiny 1-bar pullbacks.
Fast/Slow EMA Length (Default: 20/50): The core trend cloud. If you are swing trading daily charts and want to catch massive, long-term trends, change these to the traditional 50 and 200.
2. Smart Triggers & Structure This is the "Brain" of the algorithm that filters out bad setups.
Real-Time Lookback (Micro) (Default: 12): How many candles backward the script looks to verify a recent "Higher Low" was made before a crossover. If the script is missing valid entries because the pullback was long and drawn out, increase this to 20.
Pivot Lookback/Forward (Macro) (Default: 5): Purely visual. It dictates how many candles are needed to confirm the HH/LL text labels on the chart.
Require Higher Low for A+ Entry (Default: Checked): The strictest safety filter. Uncheck this if you are trading highly volatile assets (like Crypto) that often V-bottom and explode upward without stopping to form a higher low.
Max Run-up % (Chase Filter) (Default: 10.0): Stops the algorithm from buying if the price has already pumped 10% from the bottom. If you are trading Small Caps that regularly pump 30% in a single candle, you must increase this to 20 or 30.
Block Entries in Gray Chop Zone (Default: Checked): The anti-whipsaw filter. Uncheck only if you are actively trying to buy at the absolute bottom of a sideways consolidation box before the momentum officially kicks in.
3. Master Candle Consolidation Your custom logic for catching coiled breakouts.
Required Follow-up Bars (Default: 4): How many candles must get trapped inside the Master Candle. Reduce to 3 on high-timeframes (Daily/Weekly) where 4 days of resting is rare. Increase to 6 or 8 on 5-minute charts to ensure the consolidation is truly exhausted.
Use Master High/Low Bounds (Default: Checked): If unchecked, it only uses the candle body (Open to Close). Uncheck this on highly volatile, "wicky" charts where a single stray wick keeps ruining your consolidation count.
Require Bull Trend & Green ATR for Breakout (Default: Checked): Uncheck this if you want to trade "Reversal Breakouts" (buying an upward breakout before the macro trend has officially flipped bullish).
4. Smart Money Concepts (SMC) Ensures you are buying at a wholesale price.
Dealing Range Lookback (Default: 100): Decrease to 50 for faster, more aggressive zone shifting during rapid market regimes.
Require SMC Zone for Reloads (Default: Checked): Uncheck this during a raging, parabolic bull market where price never pulls back deep enough to hit the discount zone.
5. Dynamic ATR Exits (ADX Squeeze) Your trailing stop-loss manager.
Base ATR Multiplier (Trend) (Default: 3.0): Change to 2.0 for tighter risk management on large-cap stocks. Increase to 4.0 or 5.0 for highly erratic Crypto assets.
Tight ATR Multiplier (Chop) (Default: 1.5): The "choke" stop. Keep this very tight (1.0 to 1.5) to protect profits when momentum dies.
ADX Squeeze Threshold (Default: 20): Increase to 25 if you want the algorithm to aggressively lock in profits the second a trend shows minor weakness.
6. Volume Analysis & POC (Visuals)
Volume Lookback & StDev Multiplier: These dictate when the Fuchsia (Distribution) and Blue (Accumulation) diamonds appear. If you are getting too many diamond alerts, increase the Multiplier to 4.0 so it only flags true anomaly volume.
POC Profile Rows (Default: 40): Resolution of the Volume Profile calculation that draws the yellow Point of Control line. Increase to 100 for a more precise POC line. Decrease to 20 if your TradingView app is lagging.
The VBS Dashboard
The script features a built-in, non-intrusive HUD (Heads Up Display) utilizing a "Lazy-Draw" architecture to prevent memory buffer crashes. It provides a real-time readout of:
Current Macro Trend & Market Structure (HH/HL/LL/LH)
Intrabar Delta State (Positive/Negative)
Volatility State (Expanding vs. ADX Squeeze)
Current SMC Zone (Premium vs. Discount)
Real-time Stop Risk (%)
Usage & Backtesting Notes
By default, the strategy is optimized for comprehensive backtesting. It utilizes a fixed quantity size (qty=1) and allows pyramiding. This ensures the Strategy Tester captures and records the success rate of every single signal generated by the engine, providing a pure, unclouded view of the strategy's mathematical edge.
Disclaimer: VBS is an educational tool designed for analyzing market structure and volume dynamics. It does not guarantee profits. Always use proper risk management and test extensively on paper before deploying real capital.
Strategie
MARs - Moving Average Ribbon SciroccoInitially, I decided to build this indicator simply to bundle multiple moving averages together under a single script to save chart space. However, I chose to completely overhaul and improve the design to transform it into an institutional-grade, multi-timeframe trend visualization and analysis system.
Optimized for dark-theme chart layouts and named after the high-velocity, dust-carrying desert windstorms, the Moving Average Ribbon Scirocco (MARs) unifies independent multi-timeframe data structures, directional price momentum, and volume-weighted confirmation thresholds into a single, cohesive channel overlay.
Why MARs is Useful
- Eliminates Screen Flipping: Traditional charting ribbons require constant switching between multiple chart intervals to stay aligned with the dominant trend. MARs solves this by anchoring independent timeframe inputs to each of the four moving averages individually. This allows you to track multiple higher-timeframe macro baselines (like 4-hour, Daily, or Weekly trends) directly on a lower execution chart (like a 1-minute or 5-minute chart) without constantly changing screens or splitting your workspace.
- Absolute Momentum Slope Vectoring: MARs circumvents this by ditching screen-based spatial positioning entirely. Instead, it utilizes absolute slope momentum vectors calculated through sequential ta.rising() and ta.falling() states on the underlying series. This mathematical approach guarantees that the directional colors remain locked to their true momentum axes regardless of how high or low your active chart grid is scaled.
- Fixes Color Inversions: Standard multi-timeframe ribbons rely on a simple visual overlay, which causes the colors to flip backwards or invert when you move to a higher chart interval due to historical bar compression. MARs isolates momentum trends at their native calculation source to keep color maps perfectly accurate on all scales.
What Makes It Unique
- Persistent Visual Framework: Standard ribbons break or return an na element the moment a user toggles a single line off in the settings menu. MARs solves this via a dynamic boundary engine built with algorithmic math.max() and math.min() arrays paired with non-zero element converters (nz()).
- Adaptive Anchor Logic: The indicator reads your active user checkbox selections bar-by-bar in real-time; if you hide individual moving averages to clean up your workspace, the background cloud instantly re-anchors itself to the next closest visible line, keeping the channel fill functional.
- Universal Asset Compatibility: Standard indicators with volume-weighted elements crash or turn completely invisible when applied to assets that lack native volume tracking data (such as Forex spot pairs, Crypto CFDs, Commodities, or indices like SPX).
- Volume Safety Net: MARs features an automated volume safety-net mechanism that samples a 10-period smoothing filter. If it detects zero volume, the script instantly bypasses the volume engine and defaults to a stable, visible base opacity, providing a seamless analysis experience across all financial asset classes.
Finding Your Own Way to Use It
- No Rigid Signals: Because MARs was explicitly engineered without rigid, pre-programmed "buy/sell" arrow signals or directional labels, it does not dictate how you must trade.
- Discover Your Own Edge: The true value of the indicator comes from discovering your own systematic edge through a personalized combination of moving average styles (SMA, EMA, SMMA, WMA, or VWMA), customized lengths, and specific timeframe steps.
- Objective Toolkit: By stripping away prescriptive text and leaving interpretation to the trader, MARs functions as an objective diagnostic toolkit that can be customized for short-term intraday momentum scalping, long-term swing trading, or indicator-on-indicator sourcing.
Core Functionality
- Dual-State Volume Confirmation Engine: Evaluates price expansion against a 20-period simple moving average of volume. The background channel instantly brightens into high-visibility thermal colors when structural expansion is backed by institutional volume, and automatically mutes its opacity when volume drops below average to warn you of low-participation breakouts.
- Anti-Repaint Protective Framework: Technical calculation loops are isolated inside encapsulated function blocks via request.security() with barmerge.lookahead_off. This guarantees that your historical chart lines are locked into place exactly as they appeared in real-time, eliminating future-data leaking and data distortion.
- Achromatic Martian Thermal Palette: Designed specifically to reduce eye strain and eliminate visual fatigue during long trading sessions on dark background layouts. The moving average lines form a clean, static gradient, while the background fill shifts between Vibrant Solar Gold, Martian Core Orange, and Molten Crimson Red, fading completely into a dark Obsidian Gray mask to tell you exactly when the market has flattened out into a tight consolidation squeeze.
Fully Customizable Theme: If you are not satisfied with these default theme selections, the color scheme remains fully customizable, allowing you to re-map both the individual lines and the background cloud states via the TradingView interface to match your exact visual preference.
Conclusion
The Moving Average Ribbon Scirocco (MARs) marks a complete overhaul of traditional charting ribbons, transforming a standard space-saving bundle into a robust, multi-timeframe trend analysis system. By filtering noise through volume validation, securing lines against historical repainting, and utilizing absolute slope vectors to permanently prevent color inversions, the indicator delivers an objective, mathematically precise overview of the market.
Ultimately, MARs serves as a versatile, high-contrast diagnostic toolkit designed to integrate cleanly into your workspace, giving you the freedom to build, refine, and execute your own systematic trading edge. Indikator
Indikator
Arc Trail Regime [JOAT]Arc Trail Regime is an open-source Pine Script v6 overlay that builds an accelerating trail around an adaptive EMA arc and gates directional flips with VWAP location. It is designed to show when price has crossed a dynamic trailing level while the broader value anchor agrees with the new side.
The script focuses on a smooth regime trail rather than many signal markers. It displays the active arc, a soft cloud, optional gradient candles, and right-edge shelf levels created after confirmed flips.
Core Concepts
1. Adaptive Arc Core
The core blends fast and slow EMA curves. The blend weight increases when recent speed and volatility expansion increase, which makes the arc respond faster during active movement.
speedRaw = math.abs(ta.ema(ta.change(sourceInput), 4)) / atrValue
volRatio = nz(ta.ema(atrValue, 5) / ta.ema(atrValue, 55), 1.0)
curveWeight = f_clamp(0.38 + speedNorm * 0.18 + volSpeed * 0.22, 0.25, 0.82)
arcCore = ta.ema(slowArc + (fastArc - slowArc) * curveWeight, 3)
2. VWAP Gate
Bull flips require price to be above VWAP. Bear flips require price to be below VWAP. This keeps the trail aligned with a basic value-location filter.
3. Accelerating Trail Width
The trail distance uses ATR and a volatility speed boost. During active movement, the trail can tighten within bounds so it reacts faster to regime changes.
4. Confirmed Flip Shelves
When a confirmed regime flip occurs, the script draws a shelf line near the flip bar. The shelf remains active until price invalidates it.
5. Distance Candles
Candles can be colored from bearish to bullish based on their normalized distance from the active trail.
Features
Adaptive arc core: Blends fast and slow curves by speed and volatility
VWAP-gated flips: Direction changes require price location agreement
ATR trail: Trail distance scales with chart volatility
Arc cloud: Soft band around the active trail
Active shelves: Right-edge support/resistance references after confirmed flips
Confirmed buy/sell flip markers: Compact BUY and SELL dots are offset away from candles and only print after confirmed regime flips
Gradient candles: Optional candle coloring by trail distance
Dashboard: Shows regime, VWAP side, distance, speed, and shelf status
Alerts: Confirmed bull flip and confirmed bear flip
Input Parameters
Visuals:
Palette Preset: Selects bull and bear colors
Arc Cloud: Shows the trail cloud
Gradient Candles: Enables candle coloring
Confirmed Flip Signals: Shows compact BUY and SELL flip markers
Active Shelves: Shows flip shelf lines and labels
Engine:
Source: Price source
Inner Curve Length: Fast EMA length
Outer Curve Length: Slow EMA length
ATR Length: Volatility length
Base Trail Width: Starting ATR trail multiplier
Volatility Speed Boost: Controls how much expansion affects the trail
How to Use This Indicator
Step 1: Read the Active Regime
The dashboard shows Bull or Bear based on the active trail side.
Step 2: Confirm VWAP Location
The VWAP row shows whether price is above or below the value gate used by the script.
Step 3: Monitor Shelves
Shelf lines are created after flips and can act as visual invalidation references.
Indicator Limitations
Trail systems can whipsaw during sideways markets
VWAP behavior varies across sessions and symbols
A shelf is a visual reference, not a complete stop model
Fast volatility shifts can temporarily widen or tighten the trail abruptly
Originality Statement
Arc Trail Regime is original in its adaptive arc weighting, VWAP-gated regime flips, speed-sensitive trail width, and active shelf visualization. It is built with original Pine v6 code and public chart data.
Disclaimer
This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Trail flips can fail in range conditions or during abrupt volatility changes. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades
Indikator
Adaptive Divergence Core [JOAT]Adaptive Divergence Core is an open-source Pine Script v6 oscillator that combines HMA-smoothed RSI behavior, adaptive percentile bands, confirmed divergence lines, and regime fills. It is designed to make oscillator extremes relative to the current chart sample instead of relying only on fixed overbought and oversold levels.
The script is useful when standard oscillator thresholds are too rigid. A market can stay strong or weak for long periods. Adaptive Divergence Core recalculates upper and lower fields from recent oscillator distribution, then plots confirmed divergence only after both price and oscillator pivots are confirmed.
Core Concepts
1. HMA-RSI Core
The oscillator blends RSI on raw price, RSI on HMA-smoothed price, and an HMA-smoothed RSI value. It is centered around zero for easier bullish and bearish reading.
hmaSource = ta.hma(src, hmaLen)
rawRsi = ta.rsi(src, rsiLen)
rsiOnHma = ta.rsi(hmaSource, rsiLen)
smoothedRsi = ta.hma(rawRsi, smoothLen)
core = (rsiOnHma * 0.58 + smoothedRsi * 0.42) - 50.0
2. Adaptive Percentile Bands
The upper and lower bands are calculated from rolling percentiles of the oscillator. This lets the bands adapt to the recent distribution of momentum.
upperRaw = ta.percentile_nearest_rank(core, percentileLength, upperPercentile)
lowerRaw = ta.percentile_nearest_rank(core, percentileLength, lowerPercentile)
3. Extreme Fields
Additional 95th and 5th percentile fields help show deeper oscillator stretch zones beyond the primary adaptive bands.
4. Confirmed Divergence Detection
Bearish divergence requires price to form a higher confirmed pivot high while the oscillator forms a lower confirmed pivot high. Bullish divergence requires price to form a lower confirmed pivot low while the oscillator forms a higher confirmed pivot low.
5. Regime Fill
The script fills the oscillator against zero and against its guide line, making positive and negative regimes easy to read without large markers.
Features
HMA-RSI oscillator: Blends raw RSI, RSI on HMA, and smoothed RSI
Adaptive percentile bands: Upper and lower thresholds adjust to recent oscillator behavior
Extreme bands: Additional outer fields for deeper stretch readings
Confirmed divergence lines: Divergences plot only after price and oscillator pivots confirm
Divergence labels: Small S Div and B Div labels are placed near confirmed divergence lines
Divergence line cap: Old lines are deleted to respect object limits
Optional candle tint: Can color chart candles from the oscillator pane setting
Dashboard: Shows core value, bands, divergence counts, and current field
Alerts: Divergence, band entry, and band release conditions
Input Parameters
Core:
Source: Price source
RSI Length: Base RSI period
HMA Price Length: HMA source smoothing
HMA RSI Smooth: Smoothing for the raw RSI component
Adaptive Bands:
Percentile Length: Lookback used for adaptive thresholds
Upper Percentile: Upper adaptive threshold percentile
Lower Percentile: Lower adaptive threshold percentile
Divergence:
Divergence Left Bars / Right Bars: Pivot confirmation settings
Maximum Divergence Lines: Object cap for plotted divergence lines
Divergence Labels: Shows or hides compact divergence labels
Visuals:
Tint Candles: Optional candle tint from the oscillator state
Show Dashboard: Shows or hides the compact top-right pane dashboard
Palette: Selects the local JOAT color preset
How to Use This Indicator
Step 1: Read the Core Relative to Zero
Values above zero show positive oscillator regime. Values below zero show negative oscillator regime.
Step 2: Use Adaptive Bands
When core enters the upper or lower adaptive band, momentum is stretched relative to its recent sample.
Step 3: Evaluate Divergence After Confirmation
Divergence lines are delayed by pivot confirmation. This is intentional and avoids projecting unconfirmed pivots into the past.
Indicator Limitations
Divergences confirm late because pivots need right-side bars
Adaptive bands depend on the selected lookback and can shift over time
Divergence is context, not a complete trade plan
During strong trends, oscillator stretch can persist for many bars
Originality Statement
Adaptive Divergence Core is original in its HMA-RSI blend, rolling percentile threshold system, confirmed pivot divergence logic, and compact dashboard. It uses public Pine v6 functions to build a distinct oscillator workflow.
Disclaimer
This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Oscillator divergences can fail or remain early for extended periods. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades
Indikator
9 / 21 EMA Pullback Scalper | 5mEasy scalping method off the 9/21 EMA. Uses the 5 min TF. Best if only done from 9:45-15:00 time zone.
Use 9 EMA + 21 EMA on the 5m chart
Enter when price pulls back to the 9 EMA in a trending move
Only trade when 9 EMA is above 21 EMA (long) or below (short)
Simple, visual, easy to execute fast with alerts.
Element: Description
9 EMA line: Bold, colored green in bull trend / red in bear trend
21 EMA line: Same color, slightly faded
Shaded fill: Between the two EMAs — instantly shows trend strength and direction
BUY / SELL: Arrow labels at signal bars. Hover for RSI, EMA values, gap %
Stop-Loss dashed line: Drawn at the lowest low (long) or highest high (short) of the last 3 bars
Info table: Bottom-right corner — live trend, 9 EMA, 21 EMA, RSI, gap %
RSI Filter Blocks longs above 70, shorts below 30
EMA Gap Filter Requires minimum 0.05% spread between EMAs — kills signals in sideways chop
Cooldown Minimum 5 bars between same-direction signals — stops cluster spam Indikator
Indikator
Japanese Candlestick Patterns ProJapanese Candlestick Patterns Pro
Candlesticks are the language of the market. Every candle tells a story — pressure, hesitation, rejection, strength, weakness, fear, and momentum. Japanese Candlestick Patterns Pro is designed to help traders read that story faster and more clearly.
This indicator automatically detects key Japanese candlestick patterns directly on the chart, helping you identify potential reversal, continuation, and market reaction zones without manually scanning every candle.
It highlights both bullish and bearish formations, including engulfing patterns, harami, hammer, hanging man, inverted hammer, shooting star, morning star, evening star, piercing line, dark cloud cover, three white soldiers, three black crows, inside days, and outside days.
The goal of this tool is not to predict the market blindly. The goal is to bring structure to price action and help you notice moments where the balance between buyers and sellers may be changing.
Main features:
• Automatic detection of classic Japanese candlestick patterns
• Bullish and bearish pattern recognition
• Trend filter using SMA or EMA
• Optional volume filter
• Text labels, symbols, or both
• Visual table with active bullish and bearish patterns
• Alerts for key candlestick setups
• Flexible settings for body size, shadows, trend conditions, and pattern filtering
This indicator is useful for traders who want to combine traditional candlestick analysis with a more systematic approach. It can help you quickly spot important price action signals, confirm your own analysis, and avoid missing key candle formations during fast market movement.
Recommended use:
Start with higher timeframes to understand the main market direction.
Use candlestick patterns near support, resistance, liquidity zones, or trend areas.
Do not trade every signal blindly. Look for confirmation from structure, volume, and market context.
Use alerts to monitor important setups without watching the chart constantly.
Japanese Candlestick Patterns Pro is built for traders who respect price action and want to see the market with more discipline, clarity, and control.
This is not financial advice. Always use proper risk management and test the indicator on your own market, timeframe, and trading strategy.
Follow Golden_WolfAI.
Indikator
EMA Ribbon 50/100/200/300/350A clean five-line EMA ribbon — 50 · 100 · 200 · 300 · 350 — built around one
idea: the COLOR alone tells you which average you're looking at.
The lines follow a warm→cool ramp (amber → orange → magenta → blue → indigo), so
warmth and brightness fall as the EMA slows: a warm, bright line is always a fast
average, a cool, deep one always slow. Pure red and green are avoided so a line
is never mistaken for a bull/bear candle. The 200 is drawn a touch thicker to
keep the most-watched average prominent.
Every line has its own on/off toggle, length, and color. The averages are
standard ta.ema on price — fully causal, so nothing repaints.
A visual reference for moving-average structure, not a signal generator: no
arrows, no alerts.
Settings: a shared price source, plus a show toggle, length, and color for each
of the five EMAs.
Open-source. Not financial advice. Indikator
Indikator
Trend Navigator - Bulls Eye - Options Trade# GN-CE-PE State Engine
## Overview
GN-CE-PE State Engine is a market participation and synchronization tool designed to help traders assess directional conviction across multiple related instruments.
The indicator monitors the relationship between:
* Gift Nifty
* At-The-Money Call Options
* At-The-Money Put Options
and transforms their combined behavior into a set of actionable market states.
Rather than analyzing a single chart in isolation, the engine focuses on whether bullish or bearish participation is developing in a coordinated manner across the underlying market and its options.
---
## Market States
### Bull Trend
Indicates broad bullish participation and directional alignment across the monitored instruments.
---
### Bear Trend
Indicates broad bearish participation and directional alignment across the monitored instruments.
---
### Reset
Represents a pause, pullback, or temporary loss of momentum within an existing directional move.
This state can help traders identify periods where the market is rebalancing before a potential continuation.
---
### CE Ready
Highlights conditions where bullish participation is strengthening and directional alignment is improving.
---
### PE Ready
Highlights conditions where bearish participation is strengthening and directional alignment is improving.
---
## Dashboard
The built-in dashboard provides a real-time summary of:
* Market bias
* Participation strength
* Momentum state
* Directional alignment
* Confidence score
* Current market condition
This allows traders to quickly assess market structure without switching between multiple charts.
---
## Confidence Score
The confidence score reflects the degree of alignment between the monitored instruments.
Higher scores suggest stronger participation and greater directional agreement, while lower scores often indicate mixed conditions or transitional phases.
The score is intended as a contextual aid and should not be used as a standalone trading signal.
---
## Alerts
The indicator includes alert conditions for:
* CE Ready
* PE Ready
allowing traders to monitor potential opportunities without continuously watching the chart.
---
## Recommended Usage
GN-CE-PE State Engine is designed to complement the **Trend Navigator - BullsEye** indicator.
Suggested workflow:
### Step 1
Use **Trend Navigator - BullsEye** to determine the prevailing market structure and directional bias.
### Step 2
Use **GN-CE-PE State Engine** to evaluate whether participation across the underlying market and options is supporting that directional view.
### Step 3
Focus on opportunities where both indicators are aligned.
This combination helps traders distinguish between isolated price movements and moves that are supported by broader market participation.
---
## Notes
* Designed primarily for intraday market analysis.
* Option symbols should be updated to match the active trading series.
* Intended as an analytical and decision-support tool.
* Not financial advice.
## Disclaimer
This indicator is intended for educational and analytical purposes only. It is designed to assist traders in evaluating market participation, directional alignment, and market structure across the monitored instruments.
The indicator does not predict future price movements and should not be considered a recommendation to buy, sell, or hold any financial instrument. All trading decisions should be made using independent analysis, proper risk management, and personal judgment.
Past market behavior does not guarantee future results. Users are solely responsible for their trading decisions and any resulting gains or losses. Indikator
Indikator
Indikator
Impulse Memory Engine [JOAT]Impulse Memory Engine is an open-source Pine Script v6 overlay that measures fresh displacement, stores directional memory with exponential decay, and displays adaptive retest rails after significant impulse bars. It is built to answer a simple question: is the most recent meaningful impulse still fresh enough to matter?
The script blends MAD-style distance, ATR, trend basis, and decay memory. This creates a visual layer that distinguishes fresh impulse, fading impulse, and reset conditions while keeping the chart clean.
Core Concepts
1. MAD and ATR Normalized Displacement
The script estimates a robust distance unit using median absolute deviation and ATR. The impulse score is the one-bar displacement divided by this unit.
medianSource = ta.median(sourceInput, madLengthInput)
madDistance = ta.median(math.abs(sourceInput - medianSource), madLengthInput)
unitDistance = math.max(atrValue * 0.35, madDistance * 1.4826)
impulseRaw = safeRatio(sourceInput - sourceInput , unitDistance)
2. Trend Basis and Fast Track
A slower EMA defines the trend basis while a faster EMA tracks near-term movement. The distance between them contributes to the heat score.
3. Freshness Decay
When a bullish or bearish impulse appears, the script measures bars since that impulse and applies exponential decay. Fresh impulses have more weight; older impulses fade naturally.
bullBars = ta.barssince(bullImpulse)
bearBars = ta.barssince(bearImpulse)
bullFresh = na(bullBars) ? 0.0 : math.exp(-bullBars / decayLengthInput)
bearFresh = na(bearBars) ? 0.0 : math.exp(-bearBars / decayLengthInput)
memorySigned = bullFresh - bearFresh
4. Adaptive Bands
The trend band widens when memory strength increases. This helps separate quiet reset states from active impulse regimes.
5. Retest Rails
After a fresh impulse, the script stores a rail near the impulse bar. A confirmed retest occurs when price revisits the rail while memory remains directionally active.
Features
Impulse score: Measures displacement relative to MAD and ATR distance
Memory decay model: Tracks whether the last strong impulse is fresh or fading
Adaptive trend cloud: EMA basis and fast track are filled by memory state
Dynamic bands: Band width expands with volatility and impulse memory
Retest rails: Bull and bear rails remain visible for a configurable window
Rail labels: Active bull and bear rails are labeled at the right edge with spacing protection when both rails are close
Confirmed buy/sell labels: Compact BUY and SELL labels mark fresh impulse continuation or rail retest continuation on confirmed bars
Heat candles: Optional candle coloring by impulse and memory strength
Dashboard: Top-right panel shows impulse, memory, state, and rail status
Alerts: Fresh impulse, rail retest, confirmed buy, and confirmed sell conditions
Input Parameters
Source: Price source used for calculations
Trend Length: Slow EMA basis length
Fast Track Length: Faster EMA used inside the cloud
MAD Length: Median distance length
ATR Length: ATR distance length
Band Multiplier: Scales adaptive bands
Impulse Threshold: Minimum normalized displacement for a fresh impulse
Memory Half Window: Controls decay speed
Rail Visibility: Bars a rail remains eligible for retests
Heat Candles: Enables candle coloring
Dashboard: Shows or hides the top-right dashboard
Rail Labels: Shows active bull and bear rail labels
Buy/Sell Signals: Shows confirmed continuation signal labels
Palette: Selects the local JOAT color preset
Dashboard: Shows the panel
Palette: Selects color pair
How to Use This Indicator
Step 1: Read the Memory State
The dashboard state shows whether the script is tracking bull memory, bear memory, or resetting.
Step 2: Watch Fresh Impulse Events
Fresh impulse alerts show that displacement exceeded the configured threshold in the direction of the trend basis.
Step 3: Use Retest Rails
Rails act as reference levels after impulse. A retest is most meaningful when the dashboard memory state still agrees with the rail direction.
Indicator Limitations
Impulse detection is sensitive to the selected source and threshold
Very low volatility can make normalized movement appear larger
A rail retest is contextual and does not define risk by itself
The memory model fades old impulses; it does not predict the next impulse
Originality Statement
Impulse Memory Engine is original in its use of robust distance normalization, exponential impulse decay, adaptive bands, and retest rails in one compact overlay. It is built with original Pine v6 logic and public mathematical functions.
Disclaimer
This script is provided for educational and informational use only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss. Impulse readings can fail during choppy markets or sudden volatility shifts. Always use independent analysis and proper risk management.
-Made with passion by jackofalltrades
Indikator
Gold 5M Confirmation ScalperGold 5M Confirmation Scalper
Short description
A Gold-focused 5-minute indicator built around higher-timeframe trendline breaks, supply/demand structure confirmation, optional EMA filtering, and attached TP/SL projection boxes. Designed to help traders identify cleaner confirmation-based setups while reducing repeated signals inside an active trade window.
Full description
Gold 5M Confirmation Scalper is a discretionary confirmation indicator designed specifically for Gold / XAUUSD on the 5-minute chart.
The script combines:
15-minute trendline structure
5-minute confirmation timing
Supply and demand zone breaks
Optional EMA-based trend filtering
Projected TP / SL boxes
Suppression of repeated confirmation signals during an active trade window
The goal is to avoid noisy raw triggers and instead highlight moments where multiple pieces of structure align.
How it works
The indicator looks for a trendline break and then checks whether that move is confirmed by a nearby supply/demand break of structure within a user-defined confirmation window.
It shows:
Diamond markers for raw trendline breaks
Small “c” markers for confirmed signals
TP / SL boxes attached to the confirmation marker
Trendlines, supply/demand zones, and optional EMA context
Core logic
A confirmed setup requires alignment between:
a valid trendline break
a nearby structure break
optional trend filter agreement
optional volume filter agreement
To reduce clutter, the script can also block another confirmation signal from printing while the previous trade-box window is still active.
Built for
Gold / XAUUSD
5-minute timeframe
traders who prefer confirmation over first-touch entries
traders who want a cleaner chart with structure-based context
Main features
Gold-focused 5m workflow
Fixed higher-timeframe trendline logic
Supply and demand zone generation
Break-of-structure confirmation
Optional EMA trend filter with customizable EMA length
Optional visible EMA filter line
Attached stop-loss and take-profit boxes
Repeated confirmation suppression inside active trade window
Cleaner, reordered settings for easier use
Marker guide
Diamond = raw trendline break
“c” marker = confirmed setup
TP / SL boxes = projected trade map from the confirmation candle
Best use
This indicator works best when used as a confirmation tool, not as a standalone automated system. It is designed to help with chart structure, timing, and trade mapping, while leaving final execution and risk decisions to the trader.
Notes
Optimized for Gold on 5m
Uses a 15m structure view for trendline logic
Signals may differ from what looks obvious visually, because confirmation is based on the script’s actual supply/demand box and break rules.
EMA Zones have been given to help trade with the trend.
This is an indicator, not a strategy or backtest engine
Disclaimer
This script is for educational and charting purposes only. It does not provide financial advice, trade recommendations, or guaranteed results. Always test any tool in replay or on demo before using it in live markets. Indikator
