Precision Multi-Dimensional Signal System V2Precision Multi-Dimensional Signal System (PMSS) - Technical Documentation
Overview and Philosophical Foundation
The Precision Multi-Dimensional Signal System (PMSS) represents a systematic approach to technical analysis that integrates four distinct analytical dimensions into a cohesive trading framework. This script operates on the principle that market movements are best understood through the convergence of multiple independent analytical methods, rather than relying on any single indicator in isolation.
The system is designed to function as a multi-stage filtering funnel, where potential trading opportunities must pass through successive layers of validation before generating actionable signals. This approach is grounded in statistical theory suggesting that the probability of accurate predictions increases when multiple uncorrelated analytical methods align.
Integration Rationale and Component Synergy
1. Trend Analysis Layer (Dual Moving Average System)
Components: SMA-50 and SMA-200
Purpose: Establish primary market direction and filter against counter-trend signals
Integration Rationale:
SMA-50 provides medium-term trend direction
SMA-200 establishes long-term trend context
The dual-MA configuration creates a trend confirmation mechanism where signals are only generated in alignment with the established trend structure
This layer addresses the fundamental trading principle of "following the trend" while avoiding the pitfalls of single moving average systems that frequently generate whipsaw signals
2. Momentum Analysis Layer (MACD)
Components: MACD line, signal line, histogram
Purpose: Detect changes in market momentum and identify potential trend reversals
Integration Rationale:
MACD crossovers provide timely momentum shift signals
Histogram analysis confirms momentum acceleration/deceleration
This layer acts as the primary trigger mechanism, initiating the signal evaluation process
The momentum dimension is statistically independent from the trend dimension, providing orthogonal confirmation
3. Overbought/Oversold Analysis Layer (RSI)
Components: RSI with adjustable threshold levels
Purpose: Identify potential reversal zones and market extremes
Integration Rationale:
RSI provides mean-reversion context to momentum signals
Extreme readings (oversold/overbought) indicate potential exhaustion points
This layer prevents entry at statistically unfavorable price levels
The combination of momentum (directional) and mean-reversion (cyclical) indicators creates a balanced analytical framework
4. Market Participation Layer (Volume Analysis)
Components: Volume surge detection relative to moving average
Purpose: Validate price movements with corresponding volume activity
Integration Rationale:
Volume confirms the significance of price movements
Volume surge detection identifies institutional or significant market participation
This layer addresses the critical aspect of market conviction, filtering out low-confidence price movements
Synergistic Operation Mechanism
The script operates through a sequential validation process:
Stage 1: Signal Initiation
Triggered by either MACD crossover or RSI entering extreme zones
This initial trigger has high sensitivity but low specificity
Multiple trigger mechanisms ensure the system remains responsive to different market conditions
Stage 2: Trend Context Validation
Price must be positioned correctly relative to both SMA-50 and SMA-200
For buy signals: Price > SMA-50 > SMA-200 (bullish alignment)
For sell signals: Price < SMA-50 < SMA-200 (bearish alignment)
This layer eliminates approximately 40-60% of potential false signals by enforcing trend discipline
Stage 3: Volume Confirmation
Must demonstrate above-average volume participation (configurable multiplier)
Volume surge provides statistical confidence in the price movement
This layer addresses the "participation gap" where price moves without corresponding volume
Stage 4: Signal Quality Assessment
Each condition contributes to a quality score (0-100)
Higher scores indicate stronger multi-dimensional alignment
Quality rating helps users differentiate between marginal and high-conviction signals
Original Control Mechanisms
1. Signal Cooldown System
Purpose: Prevent signal overload and encourage trading discipline
Mechanism:
After any signal generation, the system enters a user-defined cooldown period
During this period, no new signals of the same type are generated
This reduces emotional trading decisions and filters out clustered, lower-quality signals
Empirical testing suggests optimal cooldown periods vary by timeframe (5-10 bars for daily, 10-20 for 4-hour)
2. Visual State Tracking
Purpose: Provide intuitive market phase identification
Mechanism:
After a buy signal: Subsequent candles are tinted light blue
After a sell signal: Subsequent candles are tinted light orange
This creates a visual "holding period" reference
Users can quickly identify which system state is active and for how long
Practical Implementation Guidelines
Parameter Configuration Strategy
Timeframe Adaptation:
Lower timeframes: Increase volume multiplier (2.0-3.0x) and use shorter cooldown periods
Higher timeframes: Lower volume requirements (1.5-2.0x) and extend confirmation periods
Market Regime Adjustment:
Trending markets: Emphasize trend alignment and MACD components
Range-bound markets: Increase RSI sensitivity and enable volatility filtering
Signal Level Selection:
Level 1: Suitable for active traders in high-liquidity markets
Level 2: Balanced approach for most market conditions
Level 3: Conservative setting for high-probability setups only
Risk Management Integration
Use quality scores as position sizing guides
Higher quality signals (Q≥80) warrant standard position sizes
Medium quality signals (60≤Q<80) suggest reduced position sizing
Lower quality signals (Q<60) recommend caution or avoidance
Empirical Limitations and Considerations
Statistical Constraints
No trading system guarantees profitability
Historical performance does not predict future results
System effectiveness varies by market conditions and timeframes
Maximum historical win rates in backtesting range from 55-65% in optimal conditions
Market Regime Dependencies
Strong Trending Markets: System performs best with clear directional movement
High Volatility/Ranging Markets: Increased false signal probability
Low Volume Conditions: Volume confirmation becomes less reliable
User Implementation Requirements
Time Commitment: Regular monitoring and parameter adjustment
Market Understanding: Basic knowledge of technical analysis principles
Discipline: Adherence to signal rules and risk management protocols
Technical Validation Framework
Backtesting Methodology
Multi-timeframe analysis across different market conditions
Parameter optimization through walk-forward analysis
Out-of-sample validation to prevent curve fitting
Performance Metrics Tracked
Win rate percentage across different signal qualities
Average win/loss ratio per signal category
Maximum consecutive wins/losses
Risk-adjusted return metrics
Innovative Contributions
Multi-Dimensional Scoring System
Original quality scoring algorithm weighting each dimension appropriately
Dynamic adjustment based on market conditions
Visual representation through signal labels and information panel
Integrated Information Dashboard
Real-time display of all system dimensions
Color-coded status indicators for quick assessment
Historical context for current signal generation
Adaptive Filtering Mechanism
Configurable strictness levels without code modification
User-adjustable sensitivity across all dimensions
Preset configurations for different trading styles
Conclusion and Appropriate Usage
The PMSS represents a sophisticated but accessible approach to multi-dimensional technical analysis. Its strength lies not in predictive accuracy but in systematic risk management through layered confirmation. Users should approach this tool as:
A Framework for Analysis: Rather than a black-box trading system
A Decision Support Tool: To be combined with fundamental analysis and market context
A Learning Instrument: For understanding how different analytical dimensions interact
The most effective implementation combines this technical framework with sound risk management principles, continuous learning, and adaptation to evolving market conditions. As with all technical tools, success depends more on the trader's discipline and judgment than on the tool itself.
Disclaimer: This documentation describes the technical operation of the PMSS indicator. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should thoroughly test any trading system in a risk-free environment before committing real capital.
อินดิเคเตอร์และกลยุทธ์
Pivot Points AvancadoOlá Amigos,
Indicador Pivot Points com Cruzamento de Médias Móveis
Fabricio Nicolau
ETHUSD in Compression Phase Above Support📉 DeadChart – Silence Before Expansion
DeadChart is a minimalist, professional market-state indicator designed to identify low-volatility “dead zones” where price pauses, liquidity is absorbed, and the next expansion is quietly prepared. Instead of chasing noise, this tool helps traders focus on where nothing is happening — because that’s often where the real move is born.
🧠 Concept Behind DeadChart
Markets do not move continuously. They alternate between:
Expansion (impulse)
Compression (silence / accumulation)
DeadChart is built to visually highlight these compression phases, where volatility dries up and emotional traders lose interest — while smart money positions quietly.
Silence comes before the storm.
🧩 How the Indicator Works
Uses ATR (Average True Range) to measure real volatility
Compares current volatility with its historical average
When volatility contracts below normal levels, the market is labeled as a Dead Zone
Candles turn neutral grey, visually removing emotional bias
Clearly marked Support and Resistance zones provide institutional context
🎯 Key Features
✔ Dead Market (Low Volatility) Detection
✔ Clean, Dark Institutional Visual Style
✔ Fixed High-Probability Support & Resistance Zones
✔ Noise-Free Candle Coloring During Compression
✔ Non-repainting logic
✔ Lightweight and chart-friendly
Simple Scalper using Pivots from last Higher timeframe candleHTF Pivot Levels – Proper Alignment
Version: 1.0
Pine Script Version: 5
Overlay: Yes
Author: Ammar Hasan
Description
This is very rudimentary beginner friendly indicator to help scalpers scalp level to level using previous higher timeframe pivot points.
This indicator draws pivot levels based on Higher Timeframe (HTF) candles on a lower timeframe chart. It calculates Pivot, Support (S1–S3), and Resistance (R1–R3) levels from the last closed HTF candle and draws them precisely on the lower timeframe bars corresponding to that candle.
Key Features:
Works on any lower timeframe chart (e.g., 1m, 5m) using higher timeframe inputs (e.g., 15m, 1h).
Draws 7 levels per HTF candle: Pivot (yellow), S1–S3 (red), R1–R3 (green).
Only shows the last maxBars HTF candles to keep the chart clean.
Fully aligned with the actual closed HTF candle, avoiding forward shifts.
No labels, repainting, or multi-line statements.
Inputs
Name Type Default Description
Higher Timeframe Timeframe "10" HTF to base pivot calculations on.
Max HTF Bars to Keep Integer (1–50) 7 Number of HTF candles to display at once.
Calculations
Pivot Level:
Pivot = (High + Low + Close) / 3
Support Levels:
S1 = 2 × Pivot − High
S2 = Pivot − (High − Low)
S3 = Low − 2 × (High − Pivot)
Resistance Levels:
R1 = 2 × Pivot − Low
R2 = Pivot + (High − Low)
R3 = High + 2 × (Pivot − Low)
Where High, Low, Close are from the last closed HTF candle.
Drawing Logic
Lower TF bars per HTF candle is calculated as:
LowerBarsPerHTF = HTF_seconds / LowerTF_seconds
Lines are drawn from x1 to x2:
x1 = (htf_count − 2) × LowerBarsPerHTF
x2 = x1 + LowerBarsPerHTF − 1
This ensures lines are aligned exactly with the lower TF bars corresponding to the HTF candle.
Lines are deleted once maxBars is exceeded to keep the chart clean.
Colors
Level Color
Pivot Yellow
S1–S3 Red
R1–R3 Green
Notes
Repainting: The indicator only uses closed HTF candles (lookahead=barmerge.lookahead_off) to prevent repainting.
Chart Compatibility: Works on any lower timeframe chart; HTF input can be any valid TradingView timeframe.
Scalping Use: Useful for seeing higher timeframe support/resistance levels on intraday charts.
M5/H4 Candle Box In order to quickly identify a single H4 candle on an M5 timeframe, I built an indicator that visually aggregates the corresponding lower-timeframe candles.
Full Dashboard V21 - Time Left Color LogicTable (Multi timefram)
- show Trend
- show rsi
- show Stoch
- show prev candle (default hide)
- show curr candle (default hide)
- shows the time when the candlestick will close.
--can config show/hide all column
Graph
- show rsi 89/21
Signal
- show signal with tp/sl (default hide)
EMA Pro Signals (Clean)EMA Pro Signals (Clean), EMA Pro Signals (Clean)
EMA Pro Signals (Clean)
EMA Pro Signals (Clean)
EMA Pro Signals (Clean)
EMA Pro Signals (Clean)
Trendlines with Breaks + Fib Lines ONLY15min and 3min fib line already marked 15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked15min and 3min fib line already marked
Volume Divergence Detector - COT EnhancedVolume Divergence Detector – COT Enhanced
This advanced indicator analyzes institutional vs retail money flow to uncover hidden market intent, focusing on Gold and Gold Futures.
Instead of relying on simple volume spikes, the script separates smart money (institutions, commercial hedgers, large speculators) from retail traders using a blend of:
Volume-based accumulation/distribution
Price momentum
RSI behavior
MACD divergence
Institutional-sized volume detection
Optional real CFTC Commitment of Traders (COT) data
The result is a dynamic money-flow model designed to expose who is truly controlling the market.
🔹 Institutional Flow Engine
Large-volume activity is tracked and converted into a smoothed institutional money line. Heavy volume is weighted more aggressively to highlight professional accumulation and distribution. When volume fades, flow naturally decays to avoid stale signals.
If enabled, weekly CFTC COT data is blended into the calculation (70% internal model, 30% real positioning), providing genuine futures-market confirmation for Gold.
Positive values indicate institutional buying.
Negative values indicate institutional selling.
🔹 Retail Flow Engine
Retail behavior is modeled using:
RSI momentum (retail follows trends)
MACD breakout behavior
Smaller volume spikes
Retail flow reacts faster and decays quicker, reflecting emotional trading and late entries. Extreme retail positioning often signals potential reversals.
🔹 Core Signals
The indicator automatically detects:
Institutional Takeover
When institutional flow crosses above retail.
Retail Takeover
When retail flow crosses above institutions (often a warning sign).
Bullish Setup
Institutions buying + retail selling.
Bearish Setup
Institutions selling + retail buying.
Extreme Divergence
Institutional and retail flows at opposite extremes. These zones often precede major reversals or powerful trend continuations.
Clear BUY / SELL labels appear directly on the chart, positioned dynamically using ATR to avoid candle overlap.
🔹 Visual Feedback
Background shading shows which side currently dominates
Extreme divergence adds special highlighting
Real-time labels display institutional and retail values
A built-in information table summarizes:
Institutional flow
Retail flow
Dominant side
Flow spread
Current signal
COT status
Everything updates live on the last bar.
🔹 Alerts Included
Custom alerts are provided for:
Institutional control
Retail control
Bullish setups
Bearish setups
Extreme divergence
Perfect for automation or hands-off monitoring.
⚠️ Important Notes
COT data works only on Gold Futures symbols.
Spot Gold uses volume-based estimation only.
Designed for directional bias and timing, not blind entries. Always confirm with structure and price action.
Created by xqweasdzxcv
A professional-grade money flow system built to follow smart capital instead of emotional traders.
Bullish/Bearish Trend OscillatorThis oscillator compresses multiple trend signals into a single 0–100 gauge (50 = neutral). It combines:
Fast trend alignment (SMA stack + MACD)
Distance from SMA20 and SMA200 (stronger bear weighting below)
SMMA channel position
Trend line channel position
Price momentum (bar‑to‑bar change)
Volume ratio (green vs red candle weight)
The result is a smoothed, step‑colored trend score that highlights bullish vs bearish pressure and helps identify trend strength changes over time.
Note:
This is an educational indicator and not financial advice.
UFX PRO How it works
The indicator plots a single line on the chart that changes position and color depending on the trend:
🟢 Uptrend:
The SuperTrend line is below the price → bullish bias
🔴 Downtrend:
The SuperTrend line is above the price → bearish bias
When the price crosses the SuperTrend line, it often signals a potential trend reversal.
✅ Advantages
✔ Easy to read
✔ Works well in trending markets
✔ Adaptive to volatility
✔ Useful for stops and trend confirmation
bosstvs tikole sir + VWAP + EMA21 + SMA50Simple VWAP + SMA Trend with Pivot High/Low
📖 Description
This indicator is designed to identify bullish and bearish market conditions using VWAP, 21 SMA, and 50 SMA, along with Pivot High and Pivot Low lines for structure-based support and resistance.
It helps traders quickly understand trend direction, market bias, and key price levels on any timeframe.
✅ Bullish Conditions
Price is above 21 SMA
Price is above VWAP
🟢 Indicates strong bullish momentum.
❌ Bearish Conditions
Price is below 21 SMA
Price is below 50 SMA
Price is below VWAP
🔴 Indicates strong bearish momentum.
📐 Pivot High / Low
Pivot High lines act as resistance
Pivot Low lines act as support
Helps in identifying breakouts, reversals, and structure
🎯 Best Use
Intraday & Swing trading
Trend confirmation
Support & Resistance mapping
Works well with price action strategies
Automatic MTF PivotsAutomatic MTF Pivots plots horizontal lines at Daily, Weekly, and Monthly Pivots as well as Support and Resistance Levels. In the Input Panel, you can select which levels to be flagged on the chart as well as their colors.
It can be shown on any timeframes with any symbols and provide reliable support and resistance.
Automatic MTF Pivots can be used in isolation or work with any other trading systems. Especially when combined with the AccuTrade System, it can provide solid R/S Levels to further confirm the signals.
Overnight Mid-pointThis script defines a scrollable intraday session and continuously tracks the highest and lowest candle body closes made during that session, explicitly ignoring wicks. As the session develops, it plots a single horizontal midpoint line (dotted, dashed, or solid by user selection) calculated as the average of those two body closes, extending to the right from the session. For visual verification, it places exactly two dots on the chart: a green dot above the bar with the highest body close and a red dot below the bar with the lowest body close. Each new session resets the calculation, ensuring only one midpoint line and two verification markers are visible at any time. For proper use, 1800 - 0800 local time should be used (may be a couple hours off depending on your region).
Keltner-Aroon-EFI FlowKeltner-Aroon-EFI Flow (KAE)
KAE Flow is a quantitative composite indicator designed to identify dominant market trends by fusing three distinct dimensions of price action: Volatility, Trend Age, and Volume Pressure.
Unlike standard indicators that rely on a single data point (like a moving average crossover), KAE Flow aggregates three independent logic engines into a single normalized "Flow" score. This score is then smoothed using an Arnaud Legoux Moving Average (ALMA) to filter out noise while retaining responsiveness to genuine trend reversals.
This script operates strictly on the current chart timeframe, ensuring all signals are causal, non-repainting, and reliable for real-time analysis.
1. The Quantitative Engine (How it Works)
The indicator polls three separate components. Each component votes "1" (Bullish), "-1" (Bearish), or "0" (Neutral). These votes are averaged to create the raw signal.
K — Keltner Channels (Volatility Dimension)
Concept: Measures volatility expansion.
Logic: The script calculates Keltner Channels using an EMA center line and ATR bands.
Bullish (+1): Price closes above the Upper Channel.
Bearish (-1): Price closes below the Lower Channel.
This component ensures we only trade when price is breaking out of its expected volatility range.
A — Aroon (Trend Age Dimension)
Concept: Measures the strength and "freshness" of a trend.
Logic: We utilize the Aroon Up and Aroon Down metrics.
Bullish (+1): Aroon Up is greater than Aroon Down AND Aroon Up is > 70.
Bearish (-1): Aroon Down is greater than Aroon Up AND Aroon Down > 70.
This filters out weak or aging trends, ensuring the move has mathematical momentum.
E — Elder’s Force Index (Volume Dimension)
Concept: Measures volume-weighted price change.
Logic: We calculate the raw Force Index (Close - Close ) * Volume and smooth it with an EMA.
Bullish (+1): Smoothed EFI > 0.
Bearish (-1): Smoothed EFI < 0.
This component confirms that price movement is supported by actual volume flow (accumulation/distribution).
2. Signal Processing (ALMA Smoothing)
Raw aggregation can be noisy. The composite score is passed through an ALMA (Arnaud Legoux Moving Average) filter.
Why ALMA? It uses a Gaussian distribution to provide smoothness without the significant lag associated with SMA or EMA. This creates the "Flow" line that resists false flips during choppy consolidation.
3. How to Use
The indicator plots a signal line and dynamically colors the price bars and background to reflect the dominant bias.
Deep Blue (Bullish Flow): The KAE Score is > 0.1. All three engines (or the majority) are aligned bullishly. Traders typically look for long entries or hold existing long positions.
White (Bearish Flow): The KAE Score is < -0.1. The majority of engines detect bearish volatility and volume. Traders typically look for short entries.
Gray (Neutral): The score is between -0.1 and 0.1. The market is in equilibrium or transition. Trend-following strategies should be paused.
4. Configuration
Logic Engine: You can toggle individual components (K, A, or E) on or off to isolate specific market dimensions.
Smoothing: Adjust the ALMA Window and Offset to fine-tune the sensitivity of the signal line.
Lengths: Fully customizable periods for Keltner, Aroon, and EFI to adapt to different asset classes (e.g., Crypto vs. Forex).
MATT 3This indicator helps identify high-probability trend shifts and continuation setups by combining momentum, trend strength, and volatility into a single, easy-to-read signal. It highlights bullish/bearish conditions, marks potential entries and exits, and reduces noise during choppy markets with adaptive filtering. Use it to confirm direction, time pullbacks, and stay aligned with the dominant trend.
BB Squeeze + Volume Confirm (Boxed Zones, Rewired)What This Indicator Does (End-to-End, No Ambiguity)
This indicator identifies when volatility is compressed, when it releases, and whether that release is real. It is not predictive. It is regime-based.
⸻
1. It Detects a True Volatility Squeeze
The indicator measures Bollinger Band width and compares it to its own recent history. When band width falls into the lowest percentile of the lookback window, volatility is objectively compressed.
When that condition is met, the indicator draws a yellow box around price. That box persists as long as compression continues.
Yellow box equals stored energy.
⸻
2. It Visually Separates “Do Nothing” From “Act”
While price remains inside a yellow box, the market is coiled. The indicator explicitly tells you not to trade.
No direction is implied.
No bias is assumed.
No signal is generated.
This prevents overtrading during chop.
⸻
3. It Confirms Breakouts With Participation
The indicator does not treat every band break as valid.
A breakout is only recognized if:
Price closes outside the Bollinger Band, and
Volume expands materially versus its recent average.
Only then does it print:
SQ↑ for upside resolution
SQ↓ for downside resolution
These are confirmed volatility releases, not guesses.
⸻
4. It Filters Noise With Optional ATR Gating
You can optionally require ATR (average true range) to also be suppressed during the squeeze. This filters out false “tight” periods that occur during chaotic tape.
When enabled, squeezes must be both structurally and behaviorally quiet.
⸻
5. It Defines Market Regimes
The indicator divides the chart into three regimes:
Yellow box present: compression, preparation only
Yellow box ends: transition
SQ↑ or SQ↓ prints: expansion, execution phase
This keeps strategy selection aligned with market conditions.
⸻
6. It Prevents the Most Common Trading Error
Most traders lose money by trading inside compression or fading confirmed expansion.
This indicator blocks both behaviors by design.
⸻
Bottom Line
This indicator answers one question only:
“Is volatility being stored, or has it been released with commitment?”
If volatility is being stored, you wait.
If it has been released with volume, you act.
That clarity is the entire point.
Momentum Exhaustion UltimateMomentum Exhaustion Ultimate
Introduction
This indicator is a comprehensive market timing tool based on Consecutive Bar Counting logic. Unlike standard oscillators like RSI or MACD which smooth data using averages (lagging price), this strategy analyzes the specific sequence and persistence of price action to identify moments of trend exhaustion in real-time.
It is widely used on professional trading desks to answer one specific question: "Has the current trend run out of gas?"
The Core Philosophy
Markets do not move in straight lines; they move in waves of momentum and exhaustion. This strategy posits that a trend typically exhausts itself after a specific cadence of buying or selling pressure. By "counting" these pressure bars, we can identify high-probability zones where the market is likely to pause (Extension) or reverse completely (Exhaustion).
How It Works: The Two Phases
1. The Extension Phase (The "9"):
Goal: Identifies a trend that is becoming overextended (Momentum).
The Signal: A count of 9 consecutive bars closing higher/lower than the close 4 bars prior.
Meaning: This is a "Momentum Pause" signal. When a 9 appears, the market often corrects for 1-4 bars. It is the first warning sign of fatigue.
2. The Exhaustion Phase (The "13"):
Goal: Identifies the final exhaustion of the trend.
The Signal: A count of 13 bars (not necessarily consecutive) where price pushes to new extremes relative to the high/low 2 bars prior.
Meaning: This is the "Reversal" signal. The buying/selling pressure has likely fully capitulated, and a major counter-trend move is expected.
How To Use This Script
This indicator is not just a "reversal catcher." It includes institutional features (Structure Lines and Invalidation Levels) to help you manage the trade:
Don't Just Fade the "9": A "9" isn't always a buy signal. If the trend is strong, the "9" might just be a pause. Wait for the 13 for major reversals.
The "Quality Filter" (Diamond ♦): A signal is statistically stronger if the final bar (8 or 9) actually pushes deeper than previous bars. This script marks these high-quality signals with a Diamond (♦).
The Trend Barrier Breakout: The script plots Structural Support/Resistance Lines (Dashed Red/Green). If price ignores a Reversal Signal and breaks through this line, the reversal has failed. Cancel your fade and trade the Breakout (Trend Continuation). This is often the most profitable signal in the system.
The "Invalidation" Line: The Blue Dotted line represents the "Stop Loss" level derived from the volatility of the count. If price closes past this line, the signal is invalid—exit immediately.
Features Included in This Script:
Full Engine: Includes both the Extension (1-9) and Exhaustion (1-13) counters.
Wick-Sensitive Mode: Option to switch logic for fast-moving markets (Crypto/FX) to detect wicks rather than closes.
Deferral Logic: "Qualifier" rules that prevent a 13 from firing until momentum actually slows down.
Structure Lines: Institutional trend barriers for breakout trading.
Volatility Stops: Dynamic invalidation levels to protect capital.
Minimalist Mode: Hides the "number soup" to keep your chart clean, showing only actionable signals.
Institutional Top-Bottom by Herman Sangivera (Papua)Institutional Top-Bottom + Volume Profile by Herman Sangivera ( Papua )
📈 Component Description
Orange Line (POC - Point of Control): This represents the "Fair Value." Institutions view prices far above this line as "Expensive" (Premium) and prices below as "Cheap" (Discount).
Green/Red Boxes (Order Blocks): These are footprints left by big banks. A Green Box is a demand zone where institutional buying occurred, and a Red Box is a supply zone where institutional selling happened.
Institutional Labels: These appear when the RSI Divergence confirms that price momentum is fading, signaling a high-probability reversal (Top or Bottom).
🚀 Trading Strategy Guide
1. The High-Probability Buy Setup (Bottom)
Look for a "Confluence" of these three factors:
Location: Price is trading below the Orange POC line (Discount zone).
The Zone: Price enters or touches a Green Order Block.
The Signal: The "INSTITUTIONAL BUY" label appears.
Entry: Enter Buy at the close of the candle with the label.
Stop Loss: Place it just below the Green Order Block.
Take Profit: Target the Orange POC line or the nearest Red Order Block.
2. The High-Probability Sell Setup (Top)
Look for a "Confluence" of these three factors:
Location: Price is trading above the Orange POC line (Premium zone).
The Zone: Price enters or touches a Red Order Block.
The Signal: The "INSTITUTIONAL SELL" label appears.
Entry: Enter Sell at the close of the candle with the label.
Stop Loss: Place it just above the Red Order Block.
Take Profit: Target the Orange POC line or the nearest Green Order Block.
💡 Pro Tips for Accuracy
Timeframes: For the best results, use 15m for Scalping, and 1H or 4H for Day/Swing Trading.
Wait for the Candle Close: Labels are based on Pivot points. Always wait for the current candle to close to ensure the signal is locked and won't "repaint."
Avoid Flat Markets: This indicator works best when there is volatility. Avoid using it during "choppy" or sideways markets with very low volume.
Pivot Points {xqweasdzxcv}Pivot Points {xqweasdzxcv}
This indicator plots classic Pivot Point levels (PP, S1–S3, R1–R3) using the previous period’s High, Low, and Close. The pivot timeframe is fully customizable (Daily, Weekly, Monthly, etc.), making it suitable for both intraday and swing trading.
The script automatically calculates:
Pivot Point (PP)
Three Support levels (S1, S2, S3)
Three Resistance levels (R1, R2, R3)
Each level can be individually toggled on or off, with customizable colors, line width, and line style. Price labels are dynamically displayed on the right edge of the chart for quick reference.
Designed for clean visuals and practical use, this tool helps identify key market reaction zones, potential reversals, and breakout areas across any timeframe.
Created by xqweasdzxcv.
Advanced Scalping Navigator free by S B PrasadAdvanced Scalping Navigator Lite • Features
by S B Prasad
Advanced Scalping Navigator Lite is a powerful multi-factor scalping and intraday indicator designed to generate high-probability BUY and SELL signals using trend, momentum, volatility, and smart-money concepts.
This FREE version retains the complete core signal engine while limiting certain premium visual and channel features.
🚀 Core Features (Included in Lite Version)
✅ High-Accuracy BUY & SELL Signals
Signals are generated only when multiple technical and structural conditions align, including:
ATR-based trend direction & strength
EMA trend bias
MACD momentum
RSI confirmation
VWAP institutional bias
Ribbon & Hull MA filters
Higher-timeframe (HTF) trend confirmation
Smart-money liquidity sweep validation
Supply & demand zone filtering
Session-based trading filter
✅ Smart-Money Liquidity Sweeps
Detects equal highs/lows and stop-hunt behavior to identify institutional accumulation or distribution before issuing signals.
✅ Supply & Demand Zones
Automatically plots demand and supply zones using pivot-based market structure to improve trade location quality.
✅ Higher-Timeframe (HTF) Confirmation
Filters trades in the direction of the dominant higher-timeframe trend for better probability alignment.
✅ Session Filter (Market Timing Control)
Limits signals to selected market sessions:
Indian Market
London Session
New York Session
✅ Multi-Factor Confirmation Engine
Combines EMA, MACD, RSI, VWAP, Ribbon, and HMA into a weighted factor score to avoid low-quality trades.
✅ Real-Time Dashboard Panel
On-chart dashboard displaying:
Trend direction
Trend strength
Factor alignment score
HTF bias
Zone context
Signal state
Session status
🔒 Features Limited or Disabled in Lite Version
The following premium visuals and channels are not available in the FREE version:
❌ ATR trendline (dynamic support / resistance)
❌ ATR trendline strength coloring
❌ Full ATR channel (upper / average / lower)
❌ Channel fills & premium visual layers
❌ Pivot ATR trend channel visuals
❌ Enhanced trend-zone background fills
🎯 Best For
Intraday traders
Scalpers
Index & stock traders
Futures and options traders
Traders who prefer clean charts with powerful signals
📣 Join Our Telegram (Updates & PRO Access)
👉 Telegram: t.me
💬 For updates, support & PRO version access, join our Telegram.
⚠️ Disclaimer
This indicator is for educational and informational purposes only.
It does not constitute financial advice.
Trading involves risk. Always use proper risk management.
Attempted candles - customizable lines and infoboxAttented candles are candles that collect their liquidity above or below the previous candle and then run in the opposite direction:
Short trade
Candle gets liquidity above the previous candle and then ends up as a red candle
Long Trade
Candle picks up liquidity below the previous candle and then ends up as a green candle
The following information lines and info box are calculated as follows:
Short trade
2 pips above the high of the candle creates the red SL line
Entry is at the close of the candle
Distance between SL and entry is Risk 1
The TP line is then created below the close of the candle at the distance of the CRV
Long Trade
2 pips below the low of the candle creates the red SL line
Entry is at the close of the candle
Distance between SL and entry is Risk 1
The TP line is then created above the close of the candle at the distance of the CRV
In order to keep track of several lines, the SL, Entry and TP lines are connected with a common vertical line.
The following is adjustable:
Length of information lines
Width of information lines
Width of the fiber
Connecting line on/off, color and opacity
Pip value (default 0.0001)
Distance of SL line in pips
CRV (Standard 3)
Distance of the info box for long trades from the SL
Distance of the info box for shorttrades from the SL
Minimum Distance of the info box (default 3)
Display of TP, Entry, SL on/off
Font size of the info box
The information on TP, Entry and SL are pure suggestions.






















