Smart Money Flow Index (SMFI) - Advanced SMC [PhenLabs]📊Smart Money Flow Index (SMFI)
Version: PineScript™v6
📌Description
The Smart Money Flow Index (SMFI) is an advanced Smart Money Concepts implementation that tracks institutional trading behavior through multi-dimensional analysis. This comprehensive indicator combines volume-validated Order Block detection, Fair Value Gap identification with auto-mitigation tracking, dynamic Liquidity Zone mapping, and Break of Structure/Change of Character detection into a unified system.
Unlike basic SMC indicators, SMFI employs a proprietary scoring algorithm that weighs five critical factors: Order Block strength (validated by volume), Fair Value Gap size and recency, proximity to Liquidity Zones, market structure alignment (BOS/CHoCH), and multi-timeframe confluence. This produces a Smart Money Score (0-100) where readings above 70 represent optimal institutional setup conditions.
🚀Points of Innovation
Volume-Validated Order Block Detection – Only displays Order Blocks when formation candle exceeds customizable volume multiplier (default 1.5x average), filtering weak zones and highlighting true institutional accumulation/distribution
Auto-Mitigation Tracking System – Fair Value Gaps and Order Blocks automatically update status when price mitigates them, with visual distinction between active and filled zones preventing trades on dead levels
Proprietary Smart Money Score Algorithm – Combines weighted factors (OB strength 25%, FVG proximity 20%, Liquidity 20%, Structure 20%, MTF 15%) into single 0-100 confidence rating updating in real-time
ATR-Based Adaptive Calculations – All distance measurements use 14-period Average True Range ensuring consistent function across any instrument, timeframe, or volatility regime without manual recalibration
Dynamic Age Filtering – Automatically removes liquidity levels and FVGs older than configurable thresholds preventing chart clutter while maintaining relevant levels
Multi-Timeframe Confluence Integration – Analyzes higher timeframe bias with customizable multipliers (2-10x) and incorporates HTF trend direction into Smart Money Score for institutional alignment
🔧Core Components
Order Block Engine – Detects institutional supply/demand zones using characteristic patterns (down-move-then-strong-up for bullish, up-move-then-strong-down for bearish) with minimum volume threshold validation, tracks mitigation when price closes through zones
Fair Value Gap Scanner – Identifies price imbalances where current candle's low/high leaves gap with two-candle-prior high/low, filters by minimum size percentage, monitors 50% fill for mitigation status
Liquidity Zone Mapper – Uses pivot high/low detection with configurable lookback to mark swing points where stop losses cluster, extends horizontal lines to visualize sweep targets, manages lifecycle through age-based removal
Market Structure Analyzer – Tracks pivot progression to identify trend through higher-highs/higher-lows (bullish) or lower-highs/lower-lows (bearish), detects Break of Structure and Change of Character for trend/reversal confirmation
Scoring Calculation Engine – Evaluates proximity to nearest Order Blocks using ATR-normalized distance, assesses FVG recency and distance, calculates liquidity proximity with age weighting, combines structure bias and MTF trend into smoothed final score
🔥Key Features
Customizable Display Limits – Control maximum Order Blocks (1-10), Liquidity Zones (1-10), and FVG age (10-200 bars) to maintain clean charts focused on most relevant institutional levels
Gradient Strength Visualization – All zones render with transparency-adjustable coloring where stronger/newer zones appear more solid and weaker/older zones fade progressively providing instant visual hierarchy
Educational Label System – Optional labels identify each zone type (Bullish OB, Bearish OB, Bullish FVG, Bearish FVG, BOS) with color-coded text helping traders learn SMC concepts through practical application
Real-Time Smart Money Score Dashboard – Top-right table displays current score (0-100) with color coding (green >70, yellow 30-70, red <30) plus trend arrow for at-a-glance confidence assessment
Comprehensive Alert Suite – Configurable notifications for Order Block formation, Fair Value Gap detection, Break of Structure events, Change of Character signals, and high Smart Money Score readings (>70)
Buy/Sell Signal Integration – Automatically plots triangle markers when Smart Money Score exceeds 70 with aligned market structure and fresh Order Block detection providing clear entry signals
🎨Visualization
Order Block Boxes – Shaded rectangles extend from formation bar spanning high-to-low of institutional candle, bullish zones in green, bearish in red, with customizable transparency (80-98%)
Fair Value Gap Zones – Rectangular areas marking imbalances, active FVGs display in bright colors with adjustable transparency, mitigated FVGs switch to gray preventing trades on filled zones
Liquidity Level Lines – Dashed horizontal lines extend from pivot creation points, swing highs in bearish color (short targets above), swing lows in bullish color (long targets below), opacity decreases with age
Structure Labels – "BOS" labels appear above/below price when Break of Structure confirmed, colored by direction (green bullish, red bearish), positioned at 1% beyond highs/lows for visibility
Educational Info Panel – Bottom-right table explains key terminology (OB, FVG, BOS, CHoCH) and score interpretation (>70 high probability) with semi-transparent background for readability
📖Usage Guidelines
General Settings
Show Order Blocks – Default: On, toggles visibility of institutional supply/demand zones, disable when focusing solely on FVGs or Liquidity
Show Fair Value Gaps – Default: On, controls FVG zone display including active and mitigated imbalances
Show Liquidity Zones – Default: On, manages liquidity line visibility, disable on lower timeframes to reduce clutter
Show Market Structure – Default: On, toggles BOS/CHoCH label display
Show Smart Money Score – Default: On, controls score dashboard visibility
Order Block Settings
OB Lookback Period – Default: 20, Range: 5-100, controls bars scanned for Order Block patterns, lower values detect recent activity, higher values find older blocks
Min Volume Multiplier – Default: 1.5, Range: 1.0-5.0, sets minimum volume threshold as multiple of 20-period average, higher values (2.0+) filter for strongest institutional candles
Max Order Blocks to Display – Default: 3, Range: 1-10, limits simultaneous Order Blocks shown, lower settings (1-3) maintain focus on most recent zones
Fair Value Gap Settings
Min FVG Size (%) – Default: 0.3, Range: 0.1-2.0, defines minimum gap size as percentage of close price, lower values detect micro-imbalances, higher values focus on significant gaps
Max FVG Age (bars) – Default: 50, Range: 10-200, removes FVGs older than specified bars, lower settings (10-30) for scalping, higher (100-200) for swing trading
Show FVG Mitigation – Default: On, displays filled FVGs in gray providing visual history, disable to show only active untouched imbalances
Liquidity Zone Settings
Liquidity Lookback – Default: 50, Range: 20-200, sets pivot detection period for swing highs/lows, lower values (20-50) mark shorter-term liquidity, higher (100-200) identify major swings
Max Liquidity Age (bars) – Default: 100, Range: 20-500, removes liquidity lines older than specified bars, adjust based on timeframe
Liquidity Sensitivity – Default: 0.5, Range: 0.1-1.0, controls pivot detection sensitivity, lower values mark only major swings, higher values identify minor swings
Max Liquidity Zones to Display – Default: 3, Range: 1-10, limits total liquidity levels shown maintaining chart clarity
Market Structure Settings
Pivot Length – Default: 5, Range: 3-15, defines bars to left/right for pivot validation, lower values (3-5) create sensitive structure breaks, higher (10-15) filter for major shifts
Min Structure Move (%) – Default: 1.0, Range: 0.1-5.0, sets minimum percentage move required between pivots to confirm structure change
Multi-Timeframe Settings
Enable MTF Analysis – Default: On, activates higher timeframe trend analysis incorporation into Smart Money Score
Higher Timeframe Multiplier – Default: 4, Range: 2-10, multiplies current timeframe to determine analysis timeframe (4x on 15min = 1hour)
Visual Settings
Bullish Color – Default: Green (#089981), sets color for bullish Order Blocks, FVGs, and structure elements
Bearish Color – Default: Red (#f23645), defines color for bearish elements
Neutral Color – Default: Gray (#787b86), controls color of mitigated zones and neutral elements
Show Educational Labels – Default: On, displays text labels on zones identifying type (OB, FVG, BOS), disable once familiar with patterns
Order Block Transparency – Default: 92, Range: 80-98, controls Order Block box transparency
FVG Transparency – Default: 92, Range: 80-98, sets Fair Value Gap zone transparency independently from Order Blocks
Alert Settings
Alert on Order Block Formation – Default: On, triggers notification when new volume-validated Order Block detected
Alert on FVG Formation – Default: On, sends alert when Fair Value Gap appears enabling quick response to imbalances
Alert on Break of Structure – Default: On, notifies when BOS or CHoCH confirmed
Alert on High Smart Money Score – Default: On, alerts when Smart Money Score crosses above 70 threshold indicating high-probability setup
✅Best Use Cases
Order Block Retest Entries – After Break of Structure, wait for price retrace into fresh bullish Order Block with Smart Money Score >70, enter long on zone reaction targeting next liquidity level
Fair Value Gap Retracement Trading – When price creates FVG during strong move then retraces, enter as price approaches unfilled gap expecting institutional orders to continue trend
Liquidity Sweep Reversals – Monitor price approaching swing high/low liquidity zones against prevailing Smart Money Score trend, after stop hunt sweep watch for rejection into premium Order Block/FVG
Multi-Timeframe Confluence Setups – Identify alignment when current timeframe Order Block coincides with higher timeframe FVG plus MTF analysis showing matching trend bias
Break of Structure Continuations – After BOS confirms trend direction, trade pullbacks to nearest Order Block or FVG in direction of structure break using Smart Money Score >70 as entry filter
Change of Character Reversal Plays – When CHoCH detected indicating potential reversal, look for Smart Money Score pivot with opposing Order Block formation then enter on structure confirmation
⚠️Limitations
Lagging Pivot Calculations – Pivot-based features (Liquidity Zones, Market Structure) require bars to right of pivot for confirmation, meaning these elements identify levels retrospectively with delay equal to lookback period
Whipsaw in Ranging Markets – During choppy conditions, Order Blocks fail frequently and structure breaks produce false signals as Smart Money Score fluctuates without clear institutional bias, best used in trending markets
Volume Data Dependency – Order Block volume validation requires accurate volume data which may be incomplete on Forex pairs or limited in crypto exchange feeds
Subjectivity in Scoring Weights – Proprietary 25-20-20-20-15 weighting reflects general institutional behavior but may not optimize for specific instruments or market regimes, user cannot adjust factor weights
Visual Complexity on Lower Timeframes – Sub-hour timeframes generate excessive zones creating cluttered charts, requires aggressive display limit reduction and higher minimum thresholds
No Fundamental Integration – Indicator analyzes purely technical price action and volume without incorporating economic events, news catalysts, or fundamental shifts that override technical levels
💡What Makes This Unique
Unified SMC Ecosystem – Unlike indicators displaying Order Blocks OR FVGs OR Liquidity separately, SMFI combines all three institutional concepts plus market structure into single cohesive system
Proprietary Confidence Scoring – Rather than manual setup assessment, automated Smart Money Score quantifies probability by weighting five institutional dimensions into actionable 0-100 rating
Volume-Filtered Quality – Eliminates weak Order Blocks forming without institutional volume confirmation, ensuring displayed zones represent genuine accumulation/distribution
Adaptive Lifecycle Management – Automatically updates mitigation status and removes aged zones preventing trades on dead levels through continuous validity and age monitoring
Educational Integration – Built-in tooltips, labeled zones, and reference panel make indicator functional for both learning Smart Money Concepts and executing strategies
🔬How It Works
Order Block Detection – Scans for patterns where strong directional move follows counter-move creating last down-candle before rally (bullish OB) or last up-candle before sell-off (bearish OB), validates formations only when candle exhibits volume exceeding configurable multiple (default 1.5x) of 20-bar average volume
Fair Value Gap Identification – Compares current candle’s high/low against two-candles-prior low/high to detect price imbalances, calculates gap size as percentage of close and filters micro-gaps below minimum threshold (default 0.3%), monitors whether subsequent price fills 50% triggering mitigation status
Liquidity Zone Mapping – Employs pivot detection using configurable lookback (default 50 bars) to identify swing highs/lows where retail stops cluster, extends horizontal reference lines from pivot creation and applies age-based filtering to remove stale zones
Market Structure Analysis – Tracks pivot progression using structure-specific lookback (default 5 bars) to determine trend, confirms uptrend when new pivot high exceeds previous by minimum move percentage, detects Break of Structure when price breaks recent pivot level, flags Change of Character for potential reversals
Multi-Timeframe Confluence – When enabled, requests security data from higher timeframe (current TF × HTF multiplier, default 4x), compares HTF close against HTF 20-period MA to determine bias, contributes ±50 points to score ensuring alignment with institutional positioning on superior timeframe
Smart Money Score Calculation – Evaluates Order Block component via ATR-normalized distance producing max 100-point contribution weighted at 25%, assesses FVG factor through age penalty and distance at 20% weight, calculates Liquidity proximity at 20%, incorporates structure bias (±50-100 points) at 20%, adds MTF component at 15%, applies 3-period smoothing to reduce volatility
Visual Rendering and Lifecycle – Draws Order Block boxes, Fair Value Gap rectangles with color coding (green/red active, gray mitigated), extends liquidity dashed lines with fade-by-age opacity, plots BOS labels, displays Smart Money Score dashboard, continuously updates checking mitigation conditions and removing elements exceeding age/display limits
💡Note:
The Smart Money Flow Index combines multiple Smart Money Concepts into unified institutional order flow analysis. For optimal results, use the Smart Money Score as confluence filter rather than standalone entry signal – scores above 70 indicate high-probability setups but should be combined with risk management, higher timeframe bias, and market regime understanding.
Analisi trend
Crypto Breadth Engine [alex975]
A normalized crypto market breadth indicator with a customizable 40 coin input panel — revealing whether rallies are broad and healthy across major coins and altcoins or led by only a few.
📊 Overview
The Crypto Breadth Engine measures the real participation strength of the crypto market by analyzing the direction of the 40 largest cryptocurrencies by market capitalization.
⚙️ How It Works
Unlike standard breadth tools that only count assets above a moving average, this indicator measures actual price direction:
+1 if a coin closes higher, –1 if lower, 0 if unchanged.
The total forms a Breadth Line, statistically normalized using standard deviation to maintain consistent readings across timeframes and volatility conditions.
🧩 Dynamic Input Mask
All 40 cryptocurrencies are fully editable via the input panel, allowing users to easily replace or customize the basket (Top 40, Layer-1s, DeFi, Meme Coins, AI Tokens, etc.) without touching the code.
This flexibility keeps the indicator aligned with the evolving crypto market.
🧭 Trend Bias
The indicator classifies market structure as Bullish, Neutral, or Bearish, based on how the Breadth Line aligns with its moving averages (10, 20, 50).
💡 Dashboard
A compact on-chart table displays in real time:
• Positive and negative coins
• Participation percentage
• Current trend bias
🔍 Interpretation
• Rising breadth → broad, healthy market expansion
• Falling breadth → narrowing participation and structural weakness
Ideal for TOTAL, TOTAL3, or custom crypto baskets on 1D,1W.
Developed by alex975 – Version 1.0 (2025).
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🇮🇹 Versione Italiana
📊 Panoramica
Il Crypto Breadth Engine misura la partecipazione reale del mercato crypto, analizzando la direzione delle 40 principali criptovalute per capitalizzazione.
Non si limita a contare quante coin sono sopra una media mobile, ma calcola la variazione effettiva del prezzo:
+1 se sale, –1 se scende, 0 se invariato.
La somma genera una Breadth Line normalizzata statisticamente, garantendo letture coerenti su diversi timeframe e fasi di volatilità.
🧩 Mascherina dinamica
L’indicatore include una mascherina d’input interattiva che consente di modificare o sostituire liberamente i 40 ticker analizzati (Top 40, Layer-1, DeFi, Meme Coin, ecc.) senza intervenire nel codice.
Questo lo rende sempre aggiornato e adattabile all’evoluzione del mercato crypto.
⚙️ Funzionamento e Trend Bias
Classifica automaticamente il mercato come Bullish, Neutral o Bearish in base alla relazione tra la breadth e le medie mobili (10, 20, 50 periodi).
💡 Dashboard
Una tabella compatta mostra in tempo reale:
• Numero di coin positive e negative
• Percentuale di partecipazione
• Stato attuale del trend
🔍 Interpretazione
• Breadth in crescita → mercato ampio e trend sano
• Breadth in calo → partecipazione ridotta e concentrazione su pochi asset
Ideale per analizzare TOTAL, TOTAL3 o panieri personalizzati di crypto.
Funziona su timeframe 1D, 4H, 1W.
Sviluppato da alex975 – Versione 1.0 (2025).
Higher Timeframe Box & Divider - All Candles [GoldnHunt]The Higher Timeframe Box & Divider – All Candles indicator visually maps higher timeframe candles onto lower timeframe charts.
It highlights the open and close range of each higher timeframe candle as a box, along with a vertical divider marking the start of each new period.
This helps traders clearly see higher timeframe structure and momentum flow without switching charts.
Features:
Draws a box showing only the body (open to close) of each higher timeframe candle.
Uses candle color to represent bullish and bearish momentum.
Adds a divider line for each new higher timeframe candle.
Works across all symbols and timeframes.
Lightweight and optimized for performance.
Use case:
Perfect for traders using multi-timeframe (MTF) analysis who want to visualize higher timeframe candle progression while observing lower timeframe price action.
Breakout Boxes [ChartPrime]⯁ OVERVIEW
The Breakout Boxes indicator identifies key structural levels by detecting and aligning two consecutive pivots — forming confirmation zones where potential breakouts are most likely to occur. Once two pivots align within a defined ATR range, the indicator constructs a Breakout Box around that area, tracking volume distribution and breakout strength. When price breaks above or below these boxes, breakout labels (⯁ BreakUp / BreakDn) are displayed to confirm trend continuation.
⯁ KEY FEATURES
Pivot-Based Detection: Uses a customizable pivot length to identify market swing highs and lows.
Two-Pivot Alignment Logic: A breakout box is only created when two pivot highs or lows form near the same level, confirming structural alignment and increasing breakout reliability.
Dynamic Box Generation: Builds upper and lower boxes once pivot alignment is confirmed, adapting automatically to new structures.
Volume Distribution Analysis: Each box measures total traded volume and separates it into bullish and bearish components, showing buy/sell percentages inside the range.
The volume data is calculated in real time as long as the box remains active and unbroken, allowing traders to monitor live accumulation or distribution before a breakout occurs.
Breakout Confirmation Signals: Labels appear when price decisively breaks above the upper box (⯁ BreakUp) or below the lower one (⯁ BreakDn).
Adaptive ATR Scaling: Box size dynamically adjusts to volatility, maintaining consistent proportions across assets and timeframes.
Color-Coded Visualization: Upper (bearish) boxes use pink tones; lower (bullish) boxes use green, both with transparent fill for volume clarity.
Automatic Box Resetting: Previous boxes close when a new pivot pair forms, ensuring only the most relevant structure is active.
⯁ USAGE
Watch for Two Pivot Alignments — the indicator only activates when structural confluence exists, reducing false breakout signals.
Upper Boxes represent resistance formed by two aligned swing highs; a breakout above indicates potential bullish continuation.
Lower Boxes represent support formed by two aligned swing lows; a breakdown below indicates bearish continuation.
Analyze the Volume Ratio inside each box — higher buy volume in upper boxes supports bullish breakouts, while higher sell volume in lower boxes supports bearish moves.
Use this tool alongside trend indicators or higher timeframe context to confirm the direction of breakouts.
⯁ CONCLUSION
The Breakout Boxes indicator refines breakout analysis by requiring two aligned pivots to validate structural zones. By combining pivot confluence with volume distribution and adaptive ATR scaling, it provides a precise, data-backed visualization of breakout strength and direction — a powerful tool for structure-based trading confirmation.
Ornstein-Uhlenbeck Trend Channel [BOSWaves]Ornstein-Uhlenbeck Trend Channel - Adaptive Mean Reversion with Dynamic Equilibrium Geometry
Overview
The Ornstein-Uhlenbeck Trend Channel introduces an advanced equilibrium-mapping framework that blends statistical mean reversion with adaptive trend geometry. Traditional channels and regression bands react linearly to volatility, often failing to capture the natural rhythm of price equilibrium. This model evolves that concept through a dynamic reversion engine, where equilibrium adapts continuously to volatility, trend slope, and structural bias - forming a living channel that bends, expands, and contracts in real time.
The result is a smooth, equilibrium-driven representation of market balance - not just trend direction. Instead of static bands or abrupt slope shifts, traders see fluid, volatility-aware motion that mirrors the natural pull-and-release dynamic of market behavior. Each channel visualizes the probabilistic boundaries of fair value, showing where price tends to revert and where it accelerates away from its statistical mean.
Unlike conventional envelopes or Bollinger-type constructs, the Ornstein-Uhlenbeck framework is volatility-reactive and equilibrium-sensitive, providing traders with a contextual map of where price is likely to stabilize, extend, or exhaust.
Theoretical Foundation
The Ornstein-Uhlenbeck Trend Channel is inspired by stochastic mean-reversion processes - mathematical models used to describe systems that oscillate around a drifting equilibrium. While linear regression channels assume constant variance, financial markets operate under variable volatility and shifting equilibrium points. The OU process accounts for this by treating price as a mean-seeking motion governed by volatility and trend persistence.
At its core are three interacting components:
Equilibrium Mean (μ) : Represents the evolving balance point of price, adjusting to directional bias and volatility.
Reversion Rate (θ) : Defines how strongly price is pulled back toward equilibrium after deviation, capturing the self-correcting nature of market structure.
Volatility Coefficient (σ) : Controls how far and how quickly price can diverge from equilibrium before mean reversion pressure increases.
By embedding this stochastic model inside a volatility-adjusted framework, the system accurately scales across different markets and conditions - maintaining meaningful equilibrium geometry across crypto, forex, indices, or commodities. This design gives traders a mathematically grounded yet visually intuitive interpretation of dynamic balance in live market motion.
How It Works
The Ornstein-Uhlenbeck Trend Channel is constructed through a structured multi-stage process that merges stochastic logic with volatility mechanics:
Equilibrium Estimation Core : The indicator begins by identifying the evolving mean using adaptive smoothing influenced by trend direction and volatility. This becomes the live centerline - the statistical anchor around which price naturally oscillates.
Volatility Normalization Layer : ATR or rolling deviation is used to calculate volatility intensity. The output scales the channel width dynamically, ensuring that boundaries reflect current variance rather than static thresholds.
Directional Bias Engine : EMA slope and trend confirmation logic determine whether equilibrium should tilt upward or downward. This creates asymmetrical channel motion that bends with the prevailing trend rather than staying horizontal.
Channel Boundary Construction : Upper and lower bands are plotted at volatility-proportional distances from the mean. These envelopes form the “statistical pressure zones” that indicate where mean reversion or acceleration may occur.
Signal and Lifecycle Control : Channel breaches, mean crossovers, and slope flips mark statistically significant events - exhaustion, continuation, or rebalancing. Older equilibrium zones gradually fade, ensuring a clear, context-aware visual field.
Through these layers, the channel forms a continuously updating equilibrium corridor that adapts in real time - breathing with the market’s volatility and rhythm.
Interpretation
The Ornstein-Uhlenbeck Trend Channel reframes how traders interpret balance and momentum. Instead of viewing price as directional movement alone, it visualizes the constant tension between trending force and equilibrium pull.
Uptrend Phases : The equilibrium mean tilts upward, with price oscillating around or slightly above the midline. Upper band touches signal momentum extension; lower touches reflect healthy reversion.
Downtrend Phases : The mean slopes downward, with upper-band interactions marking resistance zones and lower bands acting as reversion boundaries.
Equilibrium Transitions : Flat mean sections indicate balance or distribution phases. Breaks from these neutral zones often precede directional expansion.
Overextension Events : When price closes beyond an outer boundary, it marks statistically significant disequilibrium - an early warning of exhaustion or volatility reset.
Visually, the OU channel translates volatility and equilibrium into structured geometry, giving traders a statistical lens on trend quality, reversion probability, and volatility stress points.
Strategy Integration
The Ornstein-Uhlenbeck Trend Channel integrates seamlessly into both mean-reversion and trend-continuation systems:
Trend Alignment : Use mean slope direction to confirm higher-timeframe bias before entering continuation setups.
Reversion Entries : Target rejections from outer bands when supported by volume or divergence, capturing snapbacks toward equilibrium.
Volatility Breakout Mapping : Monitor boundary expansions to identify transition from compression to expansion phases.
Liquidity Zone Confirmation : Combine with BOS or order-block indicators to validate structural zones against equilibrium positioning.
Momentum Filtering : Align with oscillators or volume profiles to isolate equilibrium-based pullbacks with statistical context.
Technical Implementation Details
Core Engine : Stochastic Ornstein-Uhlenbeck process for continuous mean recalibration.
Volatility Framework : ATR- and deviation-based scaling for dynamic channel expansion.
Directional Logic : EMA-slope driven bias for adaptive mean tilt.
Channel Composition : Independent upper and lower envelopes with smoothing and transparency control.
Signal Structure : Alerts for mean crossovers and boundary breaches.
Performance Profile : Lightweight, multi-timeframe compatible implementation optimized for real-time responsiveness.
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Reactive equilibrium tracking for short-term scalping and microstructure analysis.
15 - 60 min : Medium-range setups for volatility-phase transitions and intraday structure.
4H - Daily : Macro equilibrium mapping for identifying exhaustion, distribution, or reaccumulation zones.
Suggested Configuration:
Mean Length : 20 - 50
Volatility Multiplier : 1.5× - 2.5×
Reversion Sensitivity : 0.4 - 0.8
Smoothing : 2 - 5
Parameter tuning should reflect asset liquidity, volatility, and desired reversion frequency.
Performance Characteristics
High Effectiveness:
Trending environments with cyclical pullbacks and volatility oscillation.
Markets exhibiting consistent equilibrium-return behavior (indices, majors, high-cap crypto).
Reduced Effectiveness:
Low-volatility consolidations with minimal variance.
Random walk markets lacking definable equilibrium anchors.
Integration Guidelines
Confluence Framework : Pair with BOSWaves structural tools or momentum oscillators for context validation.
Directional Control : Follow mean slope alignment for directional conviction before acting on channel extremes.
Risk Calibration : Use outer band violations for controlled contrarian entries or trailing stop management.
Multi-Timeframe Synergy : Derive macro equilibrium zones on higher timeframes and refine entries on lower levels.
Disclaimer
The Ornstein-Uhlenbeck Trend Channel is a professional-grade equilibrium and volatility framework. It is not predictive or profit-assured; performance depends on parameter calibration, volatility regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack combining structure, liquidity, and momentum context.
Pump & Dump Detector v6Overview:
The Pump & Dump Detector v6 is a powerful TradingView indicator designed to identify rapid bullish (pump) or bearish (dump) price movements in real time. By combining Rate of Change (ROC), candle volatility, and volume analysis, this indicator highlights extreme market moves that could indicate momentum spikes, retail-driven activity, or potential manipulations.
Key Features:
ROC-Based Detection: Detects strong upward or downward price momentum over a configurable period.
Volume Confirmation: Filters signals based on volume exceeding a simple moving average, reducing false alerts.
Customizable Candle Filters: Ensures signals are triggered only when the candle shows meaningful movement.
Visual Alerts: Displays clear green (pump) and red (dump) markers on the chart with customizable size.
Real-Time Alerts: Sends instant notifications when pump or dump conditions are met, once per bar.
User-Friendly Inputs: Adjust ROC length, thresholds, minimum candle move, and volume MA length to fit your trading style.
Community-Oriented: As a trader and software professional, I noticed that most pump/dump indicators are restricted access. I developed this indicator to be free for all, helping the trading community.
How to Use:
Green triangle below the bar → Pump detected; consider bullish setups.
Red triangle above the bar → Dump detected; consider bearish setups.
Use in conjunction with other technical analysis tools for confirmation.
Alerts can be used for automated notifications or trading strategies.
Why It’s Useful:
This indicator saves time and enhances decision-making by spotting extreme price moves early, giving traders an edge in volatile markets. Ideal for intraday, swing, and crypto traders looking to capitalize on sudden momentum shifts.
Intraday Perpetual Premium & Z-ScoreThis indicator measures the real-time premium of a perpetual futures contract relative to its spot market and interprets it through a statistical lens.
It helps traders detect when funding pressure is building, when leverage is being unwound, and when crowding in the futures market may precede volatility.
How it works
• Premium (%) = (Perp – Spot) ÷ Spot × 100
The script fetches both spot and perpetual prices and calculates their percentage difference each minute.
• Rolling Mean & Z-Score
Over a 4-hour look-back, it computes the average premium and standard deviation to derive a Z-Score, showing how stretched current sentiment is.
• Dynamic ±2σ Bands highlight statistically extreme premiums or discounts.
• Rate of Change (ROC) over one hour gauges the short-term directional acceleration of funding flows.
Colour & Label Interpretation
Visual cue Meaning Trading Implication
🟢 Green bars + “BULL Pressure” Premium rising faster than mean Leverage inflows → momentum strengthening
🔴 Red bars + “BEAR Pressure” Premium shrinking Leverage unwind → pull-back or consolidation
⚠️ Orange “EXTREME Premium/Discount” Crowded trade → heightened reversal risk
⚪ Grey bars Neutral Balanced conditions
Alerts
• Bull Pressure Alert → funding & premium rising (momentum building)
• Bear Pressure Alert → premium falling (deleveraging)
• Extreme Premium Alert → crowded longs; potential top
• Extreme Discount Alert → capitulation; possible bottom
Use case
Combine this indicator with your Heikin-Ashi, RSI, and MACD confluence rules:
• Enter only when your oscillators are low → curling up and Bull Pressure triggers.
• Trim or exit when Bear Pressure or Extreme Premium appears.
• Watch for Extreme Discount during flushes as an early bottoming clue.
Simple EMA Cloud 20/50Shades the area between the 20 and 50 EMAs.
That's all it does, but combined with other indicators like the MACD, it gives you clear indications of entries and exits.
AND, it has no calories. What more could you ask for?
OmniTraderOmniTrader — What It Does
A pragmatic intraday toolkit that keeps your chart readable while surfacing the levels traders actually use: EMAs across timeframes, VWAP, yesterday’s high/low, Asian/London/NY session ranges, and a configurable Opening Range Breakout (ORB).
Multi-Timeframe EMAs (EMA 1 & 2) — Pick any TF per EMA (e.g., 5m EMA on a 1m chart).
VWAP — Toggle on/off for quick mean/flow context.
Session High/Low (live → frozen)
Tracks Asian / London / New York in your chart/exchange timezone.
Rays auto-extend; labels optional.
Previous Day High/Low — Daily levels with optional labels; auto-resets each new day.
Opening Range Breakout (ORB)
Choose session (NY/London/Asian) and 15m or 30m window.
Levels update live during the window, then lock.
Separate colors for ORB High & ORB Low + labels.
Style & Clarity Controls — Per-group color pickers, line width/style, label size & visibility.
Designed to minimize clutter while keeping essentials visible.
Vandan V2Vandan V2 is an automated trading strategy for NQ1! (E-mini Nasdaq-100) based on short-term mean reversion with dynamic risk control. It combines volatility filters and overbought/oversold signals to capture local market imbalances.
Backtested from 2015 to 2025, it achieved a +730% total return, Profit Factor of 1.40, max drawdown of only 1.61%, and over 106,000 trades. Designed for systematic scalping or intraday arbitrage with a limit of 3 simultaneous contracts.
Structure Pro by MurshidfxInspired by the 'mentfx Structure' indicator created by Anton (mentfx) on TradingView,
## Overview
Structure Pro tracks market structure by maintaining an adaptive dealing range and its midpoint. Swing highs and lows become structural boundaries, and the script responds to confirmed breakouts by recalculating the active range. Labels highlight the latest trend flip so the chart stays readable while the range evolves.
## Core Logic
- Detects swing highs/lows using a configurable pivot strength and promotes confirmed pivots to structural levels.
- Applies a percentage buffer to decide when price truly breaks structure; once triggered, the opposite boundary is recalculated with an anchor search that looks back through historical bars.
- Computes equilibrium as the midpoint between the current structural high and low so you can gauge premium versus discount zones.
- Emits a single BULL or BEAR label when the trend state changes, keeping only the most recent signal on the chart.
## How to Use
1. Open a clean chart and apply only this script.
2. Select a swing strength that matches the scale you want to monitor (lower values for responsive intraday swings, higher values for broader moves).
3. Tune the structure sensitivity percentage if you prefer tighter or looser confirmation before declaring a breakout.
4. Track DRH/DRL for the current dealing range, use the equilibrium line as a mean-reversion guide, and look to the BULL/BEAR label for structure confirmation.
5. Combine the levels with your own execution, risk, and position rules—this script does not manage orders.
## Inputs
- Swing Point Strength: bars required on both sides to confirm a pivot.
- Structure Break Sensitivity: percentage buffer applied to the range before calling a breakout.
- Dealing Range display: toggles for visibility, line width/color, label text, and label size.
- Equilibrium display: line style, width, and color controls.
- Trend Signals: enable/disable labels, adjust text size, and pick label colors.
## Notes
- Designed for live structure tracking; the script relies on confirmed pivots and does not peek into future data.
- Built to be chart-agnostic for standard candles; non-standard chart types can distort the measurements.
- Published open-source so traders can review and verify the implementation details.
Breakout line - AndurilThis line shows the highest daily closing price of last 20 days default (can be adjusted from the settings). to help you to understand consolidation points and breakouts.
Ethereum Sleepy Wallets – 6-Month DormancyWhat This Indicator Does
It measures how many Ethereum addresses have been completely inactive for at least 6 months (≥ 180 days) — using official Glassnode and CryptoQuant on-chain metrics.
This reveals deep conviction among long-term ETH holders
Core Concept: Direct 6-Month Dormancy
The indicator uses two precise on-chain signals:
Total Unique ETH Addresses
From GLASSNODE:ETH_ADDRESSES or CRYPTOQUANT:ETH_TOTAL_ADDRESSES
Counts every address ever used on Ethereum
Addresses Inactive ≥ 180 Days
From GLASSNODE:ETH_ADDRESSES_GREATER_THAN_180_DAYS
Counts every address that has not sent or received ETH in 6+ months
Sleepy ETH = Dormant ≥ 180 Days
Sleepy Ratio % = (Sleepy / Total) × 100
This is not an estimate — it’s direct, real dormancy.
Why 6-Month Dormancy Matters
Short-term activity (7-day) = noise from DeFi, NFTs, trading
180-day inactivity = true HODLing — coins untouched through entire market cycles
Historically:
Rising dormancy → supply drying up → bullish pressure
Falling dormancy → long-term holders selling → bearish warning
How It Works (Step-by-Step)
Fetches daily data from Glassnode (Pro+) or CryptoQuant (free)
Selects real data if available; otherwise uses robust fallback
Calculates raw sleepy wallets = addresses inactive ≥ 180 days
Smooths the signal with a 21-day simple moving average (SMA) to filter noise
Computes Sleepy Ratio % for instant conviction reading
Displays live info table with exact values on every bar
How to Use It
Signal
Interpretation
Suggested Action
Sleepy Ratio > 75% and rising
Extreme long-term HODLing
Strong accumulation — buy/hold
Smooth Sleepy trending up
Dormancy growing over 21 days
Bullish supply shock forming
Sleepy Ratio < 68% and falling
Long-term coins re-entering circulation
Caution — possible distribution
Smooth Sleepy dropping fast
HODLers breaking after 6+ months
Bearish warning — consider exits
Use on Daily (D) or Weekly (W) charts for clean, reliable signals.
Pro+ vs Free Mode
Mode
Data Source
Accuracy
Pro+ (Glassnode ON)
Real 180-day dormancy metric
100% precise
Free (Glassnode OFF)
CryptoQuant + price-scaled estimate
~80% historical correlation
Toggle in settings: Use Glassnode Data
What Makes This Indicator Original
First open-source script to directly plot Ethereum’s 6-month dormancy using official ADDRESSES_GREATER_THAN_180_DAYS
No fake math — uses true inactivity, not active address subtraction
Dual-source logic ensures usability on any TradingView plan
Dual output: raw sleepy count + 21-day SMA for precision and trend
Live info table shows real-time values and data source
R Dominant Range [CRT] by Sergi SernaR Dominant Range identifies the most influential R range located to the left of the current price action. It highlights the dominant zone that still impacts market behavior, helping traders understand which range is controlling the current structure.
Pivot Points High Low (%-Auslenkung)Marks swing highs and lows only when the price deviation between opposite pivots exceeds a user-defined percentage threshold.
HEK Dinamik Fiyat Kanalı Stratejisi v1HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
6 gün önce
Sürüm Notları
HEK Dynamic Price Channel Strategy
Concept
The HEK Dynamic Price Channel provides a channel structure that expands and contracts according to price momentum and time-based equilibrium.
Unlike fixed-band systems, it evaluates the interaction between price and its balance line through an adaptive channel width that dynamically adjusts to changing market conditions.
How It Works
When the price reacts to the midline, the channel bands automatically reposition themselves.
Touching the upper band indicates a strengthening trend, while touching the lower band signals weakening momentum.
This adaptive mechanism helps filter out false signals during sudden directional changes, enhancing overall signal quality.
Advantages
✅ Maintains trend continuity while avoiding overtrading.
✅ Automatically adapts to changing volatility conditions.
✅ Detects early signals of short- and mid-term trend reversals.
Applications
Directional confirmation in spot and futures markets.
A supporting tool in channel breakout strategies.
Identifying price consolidation and equilibrium zones.
Note
This strategy is intended for educational and research purposes only.
It should not be considered financial advice. Always consult a professional financial advisor before making investment decisions.
© HEK — Adaptive Channel Approach on Dynamic Market Structures
Roboquant RP Profits NY Open Retest StrategyRoboquant RP Profits NY Open Retest Strategy A good strategy for CL
Advanced Liquidity Fibonacci Zones - Ace of TradesAdvanced Liquidity Fibonacci Zones – Ace of Trades Theory
How to Use This Script:
This advanced indicator visualizes key "liquidity zones" based on custom Fibonacci levels, reflecting the real areas where market makers, institutions, and advanced algorithms manage risk—far beyond basic retail “golden ratio” retracements. Unlike traditional tools, these zones align with the market maker theory popularized by Ace of Trades (@acethebully on X).
How to Paint the Highs and Lows
Select the Indicator ("Advanced Liquidity Fibonacci Zones – Ace of Trades Theory") and add it to your chart.
Use the two input fields to manually mark your key swing points:
Click the “Swing Low (0.0 Level)” input, then select a price bar on your chart for the swing low.
Click the “Swing High (1.0 Level)” input, then select the bar for your swing high.
These anchors will paint the exact price range that all fib zones are projected between.
The script will automatically draw all major liquidity/retracement/extension zones as colored bands or boxes across your chart, extended into the future for clear reference.
What Do the Zones Mean?
Zones are based on Ace of Trades' market maker theory. They're not just “lines”—they show where professional liquidity providers, algorithms, and institutional traders strategically rebalance, accumulate, or distribute.
Each zone is labeled with its precise fib ratio and price, with zone descriptions acknowledging their theoretical function (e.g., Golden Band, Momentum Pullback, Stop-Hunt Extension, Blow-Off Range, etc).
Best Practices
Use the script to identify areas where liquidity is expected to pool (for reaction or continuation), rather than just following retail golden ratios.
Paint your swing highs/lows cleanly—from the local low before an impulse, to the most relevant high after a move (or vice versa for down moves).
Observe how price reacts at these boundaries and plan entries/exits accordingly.
Special thanks and all intellectual credit to Ace of Trades (@acethebully on X) for his public education and original market maker insights.
This tool was developed to fully honor and operationalize the liquidity geometry theory from his work.
3 Moving Average Exponential3 Moving Average Exponential, up to 10 ema with the possibility to personalize the lenght of each of them
ALMA & EMA Ribbon by zdmreThis indicator combines a unique trend-following signal with a classic EMA ribbon to provide a clear view of the market trend.
The main signal line is not based on a typical ATR. Instead, it uses an Arnaud Legoux Moving Average (ALMA) as its baseline and calculates support/resistance bands using Standard Deviation. This creates a responsive trend line that adapts well to volatility. This is paired with a simple EMA Ribbon to help confirm momentum.
What It Does
ALMA + SD Trend Line: This is the core of the indicator. It uses an ALMA as the baseline (instead of a simple MA) and Standard Deviation for the bands. This tends to be more responsive than many traditional trend-following indicators.
Buy/Sell Signals: Simple "B" and "S" labels appear on your chart when the trend is calculated to have changed direction.
EMA Ribbon: A standard Fast/Slow EMA ribbon is plotted to give you a secondary confirmation of momentum. The fill between the EMAs changes color (green for bull, red for bear).
On-Screen Dashboard: A clean info panel in the corner shows you the current status of all components at a glance:
Current Signal (Long/Short)
Price vs. Trend Line (Above/Below)
Trend Strength (%)
EMA Trend (Bullish/Bearish)
Momentum
Fully Customizable: You can toggle every visual element on or off (the signals, the ribbon, the bar coloring, the dashboard) to keep your chart clean.
Settings
Trend Settings:
Factor: This is the main setting. It's the Standard Deviation multiplier. A higher value makes the line less sensitive (fewer signals). A lower value makes it more sensitive (more signals).
SD Length: The lookback for the Standard Deviation.
ALMA Settings:
ALMA Length, Sigma, Offset: Standard controls for the ALMA's smoothness and responsiveness.
EMA Ribbon:
Fast EMA & Slow EMA: Set the lengths for your ribbon.
Visual Settings:
Checkboxes to toggle all visual components (signals, ribbon, dashboard, etc.).
You can set up alerts in TradingView for the following events:
🟢 Long Signal: Triggers on a new "B" (Buy) signal.
🔴 Short Signal: Triggers on a new "S" (Sell) signal.
⚠️ Price Crossed Trend: Triggers any time the price closes across the main trend line.
#DYOR
TMB Invest - Smart Money Concept StrategyEnglish:
**Quick Overview**
The "TMB_SMC_Strategy_v1.1.3" combines a classic trend filter using two EMAs with contrarian RSI entries and simple SMC elements (Fair Value Gaps & Order Blocks). Stop-loss and take-profit orders are volatility-adaptive and controlled via the ATR. An integrated dashboard displays the setup status, stop-loss/take-profit levels, entry reference, and trend, RSI, and ATR values.
---
## Operating Principle
1. **Trend Filter:** A fast EMA (default 50) is compared to a slow EMA (default 200). Trading occurs only in the direction of the trend: long in uptrends, short in downtrends.
2. **Timing via RSI:** Contrarian entries within the trend. Go long when the RSI is below a buy level (default 40); Short when the RSI is above a sell level (standard 60).
3. **Structure Check (SMC Proxy):** An "FVG Touch" serves as additional confirmation that an inefficient price zone has been tested. Order blocks are visualized for guidance but are not a direct entry trigger.
4. **Risk Management via ATR:** Stop-loss and take-profit levels are set as multipliers of the current ATR (e.g., SL = 1×ATR, TP = 2×ATR). This allows target and risk distances to adjust to market volatility.
5. **Simple Position Logic:** Only one position is held at a time (no pyramiding). After entry, stop and limit orders (bracket exit) are automatically placed.
---
## Input Values
* **EMA Fast / EMA Slow:** Lengths of the moving averages for the trend filter.
* **RSI Length / Levels:** Length of the RSI as well as buy and sell thresholds (contra signals within the trend direction).
* **Take Profit (RR) / Stop Loss (RR):** ATR multipliers for TP and SL.
* **Show FVGs & Order Blocks:** Toggles the visual SMC elements (zones/boxes) on or off.
--
## Signals & Execution
* **Long Setup:** Uptrend (fast EMA above slow EMA) **and** RSI below the buy level **and** a current FVG signal in a bullish direction.
* **Short Setup:** Downtrend (fast EMA below slow EMA) **and** RSI above the sell level **and** a current FVG touch in a bearish direction.
* **Entry & Exit:** If the setup is met, the market is entered; stop-loss/take-profit orders are placed immediately according to ATR multiples.
--
## Visualization
* **EMAs:** The fast and slow EMAs are plotted to illustrate the trend.
* **FVGs:** Fair Value Gaps are drawn as semi-transparent boxes in the trend color and projected slightly into the future.
* **Order Blocks:** Potential order block zones from the previous candle are visually highlighted (for informational purposes only).
---
## Integrated Dashboard
A compact table dashboard (bottom left) displays:
* Current **Setup Status** (Long/Short active, Long/Short ready, No Setup),
* **Stop-Loss**, **Take-Profit**, and **Entry Reference**,
* **Trend Status** (Bull/Bear/Sideways),
* **RSI Value**, and **ATR Value**.
Active long/short positions are highlighted in color (green/red).
--
## Practical Guide
1. **Place on Chart** and select the desired timeframe.
2. **Calibrate Parameters** (EMA lengths, RSI levels, ATR multipliers) to match the market and timeframe.
3. **Backtest** across different market phases; prioritize robustness over maximum curve fit.
4. **Fine-Tuning:**
* Shorter EMAs are often useful intraday (e.g., 20/100 or 34/144).
* Adjust RSI levels to market characteristics (45/55 for aggressive trading, 30/70 for conservative trading).
* Increase or decrease ATR multipliers depending on volatility/trading style.
--
## Notes, Limitations & Extensions
* **FVG Definition:** The FVG detection used here is intentionally simplified. Those who prefer a more rigorous approach can switch to a 3-candle definition and fill levels.
* **Order Blocks:** These primarily serve as a guide. Integration into entry/exit logic (e.g., retests) is possible as an extension.
* **Backtest Realism:** Fills may differ from the displayed closing price. For greater accuracy, intrabar backtests or an entry indicator based on the average position price are conceivable.
* **Alerts:** Currently, no alert conditions are defined; these can be added for long/short setups and status messages.
* **Position Management:** By default, no scaling is performed. Partial sales, trailing stops, or multiple entries can be added.
---
## Purpose & Benefits
The strategy offers a clear, modular framework: trend filter (direction), RSI contra timing (entry), SMC proxy via FVG Touch (structure), and ATR-based exits (risk adaptation). This makes it robust, easy to understand, and highly extensible—both for discretionary traders who appreciate visual SMC elements and for systematic testers who prefer a clean, parameterizable foundation.
EMA Cloud 9/30/60 – Visual Trend Strength - CryptowitchThis indicator displays three Exponential Moving Averages (EMAs):
🔸 EMA 9 (short-term)
🔸 EMA 30 (mid-term)
🔸 EMA 60 (long-term)
A dynamic cloud is drawn between EMA 9 and EMA 30 to visually highlight trend momentum:
Green cloud = bullish momentum (EMA 9 above EMA 30)
Red cloud = bearish momentum (EMA 9 below EMA 30)
This cloud setup helps quickly identify trend direction, momentum shifts, consolidation zones, and potential entry/exit points.
Clean, visual, and effective – suitable for scalpers, swing traders, and trend followers alike.






















