TriPulse Volume Bounds | QuantEdgeBTriPulse Volume Bounds | QuantEdgeB
🔍 Overview
TriPulse Volume Bounds | QuantEdgeB (𝓣𝓟𝓥𝓞) is a volume-weighted, volatility-adaptive oscillator built to spot high-conviction expansion moves. It first applies a triple-smooth price engine as a refined input, then computes a VWMA anchored to volume participation and measures how far price deviates from it (in %). Dynamic upper/lower bounds are then generated from the oscillator’s own volatility (standard deviation), creating a self-adjusting channel. When the oscillator breaks above/below these bounds, 𝓣𝓟𝓥𝓞 flips into clear Long / Short regimes—supported by rich visuals, alerts, optional backtest tables, and a dedicated TPVO Sensor table that grades momentum/impulse/drive and conviction strength.
✨ Key Features
1. 🧠 TriPulse Source Engine (Triple-Smooth Input)
- Uses a triple-smoothed price series as the oscillator’s “signal-grade” input to reduce noise while staying responsive.
2. 📊 Volume-Weighted Anchor (VWMA)
- Builds a VWMA baseline using volume as weight, so moves backed by participation matter more than thin-market drift.
3. 📏 Percent Deviation Oscillator
- Computes oscillator value as: 100 × (close − VWMA) / VWMA, producing a clean “distance-from-value” readout.
4. ⚡ Dynamic Volatility Bounds
- Upper/lower thresholds are derived from stdev(avwo) over a lookback length and scaled by:
– Adaptive Multiplier (volatility scaling)
– Upper/Lower multipliers (asymmetric sensitivity)
5. 🎯 Regime Signals
- Long when AVWO > Upper Bound
- Short when AVWO < Lower Bound
- Neutral otherwise (inside bounds)
6. 🎨 Visual & Alerts
- Plots the oscillator with regime-sensitive coloring and fill behavior.
- Highlights the active bound when a long/short is triggered.
- Colors candles to match the current regime.
- Optional Long/Short labels on confirmed flips.
- Alert conditions on regime crossovers.
7- 📊 Backtest Table (Optional)
- Built-in backtest table from a chosen start date.
- Two display modes: standard table or overlaid table.
8. ♞ TPVO Sensor Table (Built-In Intelligence Layer)
- A dedicated on-chart dashboard that summarizes direction + quality of the current move using strength bars and momentum staging.
💼 Use Cases
• Breakout Confirmation: Catch expansion moves only when deviation exceeds adaptive bounds.
• Volume-Validated Momentum: Filter out weak pushes that aren’t supported by volume-weighted structure.
• Trend Regime Filter: Use TPVO state (Long/Short/Neutral) to gate entries from other strategies.
• Market Condition Read: Quickly determine whether price is drifting (neutral) or expanding (signal).
🎯 For Who
• Momentum & breakout traders who want confirmation beyond simple crosses.
• Volatility-aware traders who prefer thresholds that expand/contract automatically.
• System builders who need a robust regime variable plus strength grading.
• Discretionary traders who want fast visual clarity (fills, candle colors, sensor table).
⚙️ Default Settings
• Tripple Smooth Length (VWMA base input): 30
• Volume Weighted Length: 30
• Threshold Volatility Length: 27
• Upper Threshold Multiplier: 1.8
• Lower Threshold Multiplier: 0.8
• Adaptive Multiplier: 0.85
• Color Mode: Alpha
• Color Transparency: 60
• Labels: Off by default
• Backtest Table: On (toggleable)
• Backtest Table Overlaid: On (toggleable)
• Backtest Start Date: 09 Oct 2017
• TPVO Sensor Table Position: Top Right (default input)
♞ TPVO Sensor Table (What It Shows)
The TPVO Sensor is an on-chart dashboard designed to summarize both direction and signal quality:
• Direction:
o “Up / Down / Flat” determined by the oscillator’s short-term slope.
• Momentum:
o A normalized rate-of-change read, labeled as Positive / Negative / Neutral.
• Impulse:
o A velocity label derived from smoothed momentum (Strong / Weak / Stalling).
• Drive:
o A staged classification combining momentum + velocity:
o Strong Upside / Fading Upside / Strong Downside / Fading Downside / Neutral
• Bull / Bear Strength Bars:
o Two progress bars that visualize current strength as a percentage.
o In neutral regimes, it shows potential; in active long/short regimes, it shows conviction.
• Signal Line:
o Displays: Signal ⟹ Long / Short / Cash, matching the active TPVO regime.
📌 Conclusion
TriPulse Volume Bounds | QuantEdgeB (𝓣𝓟𝓥𝓞) combines a triple-smooth input, a volume-weighted anchor, and adaptive volatility bounds to produce a clean oscillator that highlights true expansion moves. With regime states, rich fills, alerts, backtest options, and the TPVO Sensor table for momentum/impulse/drive + strength grading, it’s a compact all-in-one tool for spotting and validating regime shifts.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Wskaźniki i strategie
TradeAxis Trendlines [ETHUSD]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on ETHUSD without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for ETHUSD the 30-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
Whale Pivots ProWhale Pivots Pro
Institutional Pivot, Volume & Strength Analysis Tool
Whale Pivots Pro is an advanced market-structure and participation analysis tool designed to highlight institutional pivot zones, whale activity, and buyer/seller strength across Forex, Crypto, Stocks, and Futures.
Whale Pivots Pro combines price structure, volume expansion, and divergence-based strength modeling to help traders identify high-impact pivot levels, trend continuation, and potential reversals with precision.
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Whale Pivot Zones
Whale Pivots represent key price levels where large participants are likely active.
These pivots are derived from multi-bar price structure combined with volume confirmation, highlighting areas where institutions accumulate or distribute.
Pivot Classification
Whale Pivots are categorized by aggressiveness:
• Hyper-Aggressive
• Aggressive
• Measured
• Passive
• Or All (combined view)
Each category reflects how forcefully price and volume align, helping traders filter between early, confirmed, and defensive institutional behavior.
Pivot zones are visualized using:
• Colored horizontal levels
• Filled zones between key levels
• Clear bullish and bearish separation
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Buyer / Seller Strength (BE / SE Labels)
The script includes a Buyer–Seller Strength Engine that evaluates:
• Price movement
• Delta-style volume pressure
• Trend context
• Divergence between price and participation
Labels
• BE (Bearish Exhaustion)
• SE (Sell-side / Bullish Exhaustion)
These labels appear only when strict structural and strength conditions are met.
Strength-Based Coloring
Each label is color-coded by strength level:
• Weak → Low conviction
• Normal → Moderate participation
• Strong → High institutional conviction
Strength is calculated on a 0–100 scale, combining price divergence and participation divergence.
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Trend & Context Awareness
Whale Pivots Pro is trend-aware, meaning:
• Bullish signals are favored in bullish structure
• Bearish signals are favored in bearish structure
• False counter-trend signals are filtered
This makes the tool effective for:
• Trend continuation trading
• Pullback entries
• Reversal identification near institutional pivots
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Multi-Market Volume Intelligence (Ultra Data)
When enabled, Ultra Data Mode aggregates volume from multiple exchanges and brokers, providing a broader view of true market participation, especially useful for:
• Forex
• Crypto
• Synthetic symbols
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Key Use Cases
Identify institutional pivot zones
Track whale accumulation & distribution
Confirm trend continuation vs exhaustion
Improve entries, exits, and invalidation levels
Filter low-quality signals using participation strength
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Closed-Source & Proprietar y
Whale Pivots Pro uses custom, proprietary algorithms combining:
• Multi-bar structural pivots
• Volume-weighted confirmation
• Divergence-based strength modeling
• Market-aware filtering
To protect this methodology from duplication or misuse, the script is released as closed-source.
This is a market-structure and decision-support tool, not a buy/sell signal generator.
It is designed to provide context, not standalone trade entries.
For best results, always combine this tool with Market Balance, Imbalance, and Price Discovery analysis, along with Buy-Side and Sell-Side Passive Order levels, to properly assess:
• Market acceptance vs initiative activity
• Continuation vs exhaustion
• Breakout, retracement, or reversal conditions
TradeAxis Trendlines [UKOIL]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on UKOIL without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for UKOIL on the 15-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
Bal - ImBal MAPBal – ImBal MAP
Market Balance, Imbalance & Price Discovery Tool
Bal – ImBal MAP is a market structure framework built on Market Balance, Market Imbalance, and Price Discovery concepts.
It is designed for all commodity futures and equities, where price continuously alternates between acceptance, imbalance, and discovery.
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What is Bal – ImBal MAP?
Bal – ImBal MAP is a contextual market structure tool, It helps traders objectively identify:
1. Market Balance (Acceptance)
2. Market Imbalance (Initiative Activity)
3. Price Discovery (Expansion / Trend Phase)
It is especially effective on:
• Futures (ES, NQ, CL, GC, ZB, etc.)
• Highly liquid equities and indices
• Any auction-based market
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Market Balance (BAL)
Market Balance occurs when price is accepted by both buyers and sellers, resulting in two-sided trade.
Balance Area Mapping
The tool:
• Draws Balance Areas using blue lines
• Clearly marks:
o Upper Balance Limit
o Lower Balance Limit
• When a balance area shifts:
o Visually indicates whether the shift is bullish or bearish
o Applies color-coded Balance Area Shifts (BA Shift) based on direction
Balance areas represent value acceptance zones, where mean-reversion behavior dominates.
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Market Imbalance (IMBAL)
Market Imbalance begins when one side takes control, breaking acceptance and initiating directional movement.
Imbalance Conditions
Imbalance is identified by:
• Break of the balance range
• Break of Buyside Passive Orders
• Break of Sellside Passive Orders
• Reversal from either side when price fails to break:
o Buyside Passive Orders
o Sellside Passive Orders
These events signal a transition from responsive behavior to initiative activity.
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Price Discovery (DISCOVERY)
Price Discovery is the process of exploring new value, where no prior market reference exists and price operates outside established balance areas.
Discovery Identification & Management
The tool is designed to:
• Identify when price is in discovery
• Detect when discovery ends
• Determine when a new Balance or Imbalance forms
• Support both:
o Continuation trades during discovery
o Reversion trades once discovery exhausts
Visual Representation
• Blue-colored boxes mark the Price Discovery phase
• As market flow becomes clearer, box colors dynamically change:
o Light Green → Bullish discovery
o Pink → Bearish discovery
This visual shift helps assess:
• Directional conviction
• Strength of initiative activity
• Transition back into Balance or Imbalance
Discovery Reference Lines (Extended Levels)
• After discovery, the tool extends key reference lines
• These act as decision points for:
o Breakout continuation
o Retracement entries
o Reversal target zones
• Lines are plotted as:
o Bold Green (bullish discovery)
o Bold Red (bearish discovery)
These levels define:
• Risk management zones
• Continuation confirmation
• Potential exhaustion and reversal areas
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Point of Balance (POB)
The Point of Balance (POB) represents the price level of maximum acceptance, where buyers and sellers are most actively engaged.
POB Visualization
• Displayed as a yellow horizontal line
• Automatically labeled at the active balance level
• Updates dynamically as balance evolves
Market Significance
The POB acts as the core reference point for:
• Buyer and seller presence
• Key auction activity
• Acceptance vs rejection behavior
POB – Market Gravity Concept
The POB acts as the gravitational center of the Bal–ImBal MAP.
Unless strong initiative activity is present, price tends to:
• Rotate back toward the POB
• Rebalance around value
• Re-establish two-sided trade
This makes POB critical for:
• Mean reversion during imbalance
• Measuring directional conviction when price moves away from value
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IM Mark – Imbalance Candles
The IM Mark identifies imbalance candlessignalinginitiative activity.
Logic
An IM Mark appears when:
• A candle shows imbalance relative to recent candles
• Activity and directional intent increase
Contextual Significance
• Inside balance → early initiative / potential imbalance
• Outside balance or discovery → strong directional imbalance and continuation
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Bar Colors – Trend & Market Movement Identification
Bars use three intensity levels for both directions:
Bullish (Green)
• Light → Low buyer participation
• Normal → Moderate participation
• Bold → Strong initiative buying
Bearish (Red)
• Light → Low seller participation
• Normal → Moderate participation
• Bold → Strong initiative selling
Bar colors reveal:
• Participation strength
• Movement quality
• Initiative vs responsive behavior
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Buyside&Sellside Passive Orders
Key liquidity zones where institutions / large participants are positioned.
Visual Marking
• Color-coded labels
• Matching boxes
• Extended horizontal lines
Imbalance Logic
• Break → liquidity consumed, continuation likely
• Failure → defended liquidity, reversal or rotation expected
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Pivot Points – Trend & Reversal Reference
• Marked with bold black arrows
• Identify key swing highs and lows
Trend Logic
• Trend remains intact until a pivot is broken
Reversal Significance
• Pivot breaks confirm:
o Trend reversal
o Failure of continuation
o Shift back into balance
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Why the Script Is Closed-Source
Bal – ImBalance MAP uses a custom, self-protected market-structure framework combining balance mapping, imbalance detection, and discovery sequencing.
It includes proprietary logic for:
• Balance area shifting
• Passive order detection
• IM candle validation
• Discovery tracking
• POB gravity modeling
• Pivot-based trend validation
• Participation and initiative filters
To protect this original methodology from duplication and reverse-engineering, the source code is intentionally closed-source, ensuring consistency, integrity, and performance.
TradeAxis Trendlines [XAUUSD]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on XAUUSD without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for XAUUSD on the 15-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
S&P Discipline SystemS&P Discipline System - User Guide By Macro-Guy
Welcome to the S&P Discipline System. This indicator is designed to enforce trading discipline, help you avoid "chasing" the market, and ensure you only trade when high-probability conditions align.
Follow me (Macro-Guy) on TradingView for script updates and market insights.
WHAT THIS INDICATOR DOES
Session Filtering: Identifies optimal US trading hours (Blue Tint).
Entry Zones: Signals pullbacks to the 21-period Moving Average (Yellow Line).
Short Protection: A built-in filter to stop you from shorting into "oversold" or "strong trend" conditions.
Risk Management: Provides ATR-based and Swing-based stop loss levels.
QUICK START GUIDE
Apply to Chart: Best used on SPX, SPY, ES, or US500.
Check the Status Table: Located in the top-right.
Green Action: Good to go.
Red Action: Stay out/Wait.
Wait for Signals:
Green "BUY ZONE": Look for long entries.
Red "SHORT ZONE": Look for short entries.
Muted Labels: Setup is forming but it is currently outside US Session hours.
UNDERSTANDING THE VISUALS Background Colors:
Light Green: Bullish trend; favor longs.
Light Red: Bearish trend; shorts permitted.
Gray: Choppy market; exercise caution.
Blue Tint: Active US trading session.
Orange Tint: Outside US hours (Observe only).
Moving Averages:
Yellow (21 MA): The primary entry zone for pullbacks.
Blue (50 MA): Intermediate trend filter.
White (200 MA): Major institutional trend direction.
THE SHORT FILTER (IMPORTANT) To prevent "shorting the bottom," the indicator only permits shorts when:
Price is below the 50 MA.
The 21 MA and 50 MA are both sloping down.
RSI is between 45-65. If the table says "NO SHORTS," do not fight the algorithm.
HOW TO TRADE THE SYSTEM For Longs:
Wait for Green background (Bullish).
Price must pull back to the Yellow 21 MA line.
"BUY ZONE" label must appear during the US Session (Blue tint).
Enter Long. Place stop at the Red Circle or Orange Cross.
For Shorts:
Wait for Red background (Bearish).
Price must bounce up to the Yellow 21 MA line.
Table must show "SHORTS OK" in green.
Enter Short. Place stop at the Red Circle or Orange Cross.
SETTING UP ALERTS
Right-click chart > Add Alert.
Select S&P Discipline System as the condition.
Choose: Buy Zone - US Session or Short Zone - US Session.
DISCLAIMER This indicator is a tool to assist with discipline and timing. It does not guarantee profits. Always manage your risk and never trade more than you can afford to lose. Past performance does not guarantee future results.
Happy Trading!
Hybrid Market Score Suite - Impulse Monitor🔬 HYBRID MARKET SCORE SUITE - Impulse Monitor — Algorithmic Imbalance Scoring & Compact 28-Indicator Dashboard
Monitoring regular divergences, OB/OS zones, statistical deviations, and 28 metrics simultaneously is impractical to do manually. HMSS - Impulse Monitor updates them every tick in one compact dashboard, with an optional scoring layer.
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🎯 WHAT IS THIS
HMSS - Impulse Monitor
Performs **Real-Time Monitoring** of 28 technical metrics across 3 fixed timeframes ( 5m / 15m / 30m ) simultaneously.
It processes market data on a **tick-by-tick** basis without lookahead, designed to detect developing market imbalances and local exhaustion points as they happen.
Since the indicator analyzes fixed multi-timeframe streams, it is chart TF-independent : switching your main chart timeframe does not affect the internal logic or scoring.
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🔧 "SWISS ARMY KNIFE" — Daily Monitoring Tool
A compact table with extensive data that you use every day :
28 indicators across 3 timeframes (5m / 15m / 30m):
Divergences (9): RSI DIV, MFI DIV, CCI DIV, CMF DIV, MACD DIV, CVD DIV, DELTA RSI (DRSI) DIV, Elder DIV, STOCH DIV
OB/OS (5): RSI OB/OS, MFI OB/OS, CCI OB/OS, DRSI OB/OS, STOCH OB/OS
Z-Score (8): RSI Z-Score, MFI Z-Score, CCI Z-Score, STOCH Z-Score, DRSI Z-Score, CMF Zone, CVD Z-Score, MACD Z-Score
Special (6): Elder Force, Volume Climax, ZMO EXT, (Nadaraya Watson Envelope) NW ENV, ATR Spikes, VWAP Dev
A few "Special" metrics may be less familiar than classic oscillators, so here are quick notes on what they flag (not "better" indicators — just more niche tools):
NW ENV (Nadaraya–Watson Envelope): A kernel-smoothed price envelope (period 8) with deviation multipliers 2.25 (inner) and 7.75 (extreme). Labels reflect band breaches: !! = price outside the inner band (strong extension), !!! = outside the upper extreme band (rare upside extension), !!!! = outside the lower extreme band (rare downside extension). These are context tags for extension/mean-reversion risk, not trade commands.
ATR Spikes: Compares the current candle range (High–Low) to the recent average ATR(14) over the last 10 bars. A spike triggers when the candle is ≥ 2.0× larger than the average — often seen during climax-like moments (sharp expansion), useful as a “caution marker” for late-move entries.
Volume Climax: A Z-Score of volume over 20 periods. Flags unusually high volume above about 1.9σ . In practice, it helps highlight “crowd intensity” moments: heavy volume on a down candle can resemble panic-like supply; heavy volume on an up candle can resemble aggressive chasing. Treat it as context, not a directional guarantee.
normalized via Z-Score over a 100 -bar history. It highlights statistically stretched momentum when it deviates beyond roughly 2.0σ from its mean — a way to spot overheated acceleration.
All of this — across multiple timeframes simultaneously, in one compact table, without cluttering your chart with a dozen oscillators below. Works on any chart TF — your timeframe selection does not affect calculations.
Each block can be toggled in settings:
Divergence Block — forming regular divergences across oscillators/flows
OB/OS Block — overbought/oversold zones (RSI/MFI/CCI/Stoch etc.)
Z-Score Block — statistical deviations in sigmas (σ)
Special Indicators Block — special indicators and regime filters
Scoring Block — Hybrid Engine (Score, Pattern, Breakdown, Attention, Trade Type, Veto)
Use it as a dashboard for quick market assessment — like a Geiger counter for market anomalies.
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🧠 SCORING SYSTEM — For Extreme Imbalances
An innovative data-driven engine that activates during moments of extreme imbalance :
• Calibrated using 380,000+ historical market data records
• Compares current indicator combinations with historical patterns
• Assigns a Score when significant combinations are detected
Think of the scoring system as a Storm Radar — it doesn't predict volatility explosions, but it "lights up" during storms and shows when the turbulence reaches its peak and begins to subside.
It is designed to assist in identifying potential impulse reversals during liquidation events, if that aligns with your approach.
The system is calibrated on a multi-month historical dataset of 380,000+ records collected minute-by-minute from cryptocurrency markets (BTC, ETH, SOL). During this period, the market showed both multi-month lows and several ATH (All-Time High) events. Statistical dependencies and indicator combination patterns were identified from this data.
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🧠 SCORING ENGINE ARCHITECTURE
Concept & Logic:
This system utilizes a hybrid approach, combining classical technical analysis with statistical profiling. Instead of simply summing up indicator signals, the algorithm compares the current market state against a proprietary database of historical patterns ("Profiles") collected for specific assets.
The calculation logic is layered:
1. Base Layer (Indicator Analysis):
The system monitors 28 metrics (RSI, MFI, Z-Scores, CVD, ATR Spikes, VWAP DEV, etc.).
Standard Deviation (25 pts, Dim Cell): Occurs when an indicator exceeds a standard volatility threshold (e.g., Z-Score > 1.5). This registers as a common local anomaly.
Profile Alignment (50 pts, Bright Cell): Occurs when a value hits specific historical thresholds recorded in the Asset Profile. These are values where impulses or structural shifts occurred in the past data samples.
2. The Core Pattern Recognition (compressed historical scenarios):
The system scans for ~14 compressed market scenarios (Patterns). A pattern becomes active only when its specific "Kernel" of indicators fires simultaneously with a Coverage Ratio > 70%.
3. Confluence & Weighting:
The final score reflects the density of these matches. It identifies the "Winning Side" (Long vs. Short bias) based on the accumulated weight of base and profile scores.
Score Breakdown (The "X-Ray" Row):
The dashboard displays a breakdown row ( L:… S:… C:… A:… K:… ) to visualize the components of the Total Score:
L / S (Baseline): Cumulative weight of active indicators for Long or Short bias.
C (Core Multiplier): A dynamic coefficient applied when the match with a historical pattern "Kernel" is high.
A (AddSig): Points for secondary confirming factors that reinforce the active pattern.
K (Key Features): Internal code for High-Impact Anomalies . These are rare statistical outliers (e.g., extreme Z-Scores > 3.0) that carry significant weight due to their historical correlation with volatility expansion.
System States (Dashboard Output):
The text labels on the UI represent the statistical context of the market, not direct trade commands:
NEUTRAL: Balanced market, no dominant patterns.
SIGNAL FORMING: Early detection of potential accumulation or distribution structures.
TREND — WAIT: Market is in a directional phase; algorithm is monitoring for exhaustion or pivot points.
ON WATCH: High statistical confluence detected.
MAYBE LONG/SHORT: Directional statistical bias is present.
MAX SCORE: Indicates an "Extreme Score" condition. Historically, such values appear during significant market extensions (Global Lows/Highs) where pattern coverage can approach 100% alongside statistical anomalies.
BREAKOUT: Context suggests impulse continuation or level breach.
Disclaimer: This tool provides a statistical context assessment based on historical pattern matching. "Global Lows/Highs" / "New Low/High" are dataset-derived pattern names, not a directional claim. "Max Score" and "Key Features" describe rarity levels, not guaranteed outcomes. Past market behavior is not indicative of future performance.
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🛡️ DRSI VETO — SAFETY MECHANISM
Sometimes "the setup exists by score", but the market is overextended — which can make timing riskier. This is where DRSI Veto comes in:
If the system indicates LONG , but DRSI Z-Score shows extreme overbought conditions (or vice versa for SHORT), the VETO activates, significantly reducing the final Score.
This helps filter out overextended "exhaustion" setups — technically valid by score, but stretched enough to increase mean-reversion risk without proper context. A clear VETO label appears in the table.
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🎯 USE CASES — WHEN IT WORKS BEST
Dual Purpose: Efficiency & Detection
While the Scoring Engine hunts for invisible imbalances, the dashboard serves as your primary daily workstation . It replaces the need for multiple oscillator panes, keeping your charts clean while providing a "Heads-Up Display" for Oscillators, Money Flow, and Statistical Anomalies across three timeframes at once.
Identifying Liquidation-Driven Reversals:
The scoring system is most effective during high-impulse market movements — large liquidation cascades, stop-loss hunts, sharp imbalances. HMSS - Impulse Monitor helps spot potential exhaustion points within seconds or minutes, highlighting reaction zones during high-impulse moves.
When NOT to expect detections:
Markets can and often WILL reverse without the indicator firing. This tool is designed for high-volatility moments with significant liquidations . Reversals in low-volatility, "quiet" markets will likely occur without elevated readings.
This is intentional: higher-score conditions are designed to be relatively rare, not a daily occurrence. If your approach values selectivity, it may help to treat elevated readings as “patient-wait” moments — markets often reward waiting for cleaner, high-confluence regimes rather than forcing a setup every session.
Think of the scoring system as an airbag — most of the time you don't need it, but when it activates, its informational value is high. It's your storm radar: particularly useful when markets enter rare and dangerous regimes.
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💡 FORMING DIVERGENCES — Real-Time Monitoring
Important note for experienced traders:
The indicator shows divergences that are CURRENTLY FORMING , not confirmed ones. This is Real-Time Monitoring mode — scoring updates every tick , allowing you to see the situation as it develops.
⚠️ No lookahead / no future leak: This script strictly uses lookahead=barmerge.lookahead_off (no future data is used in calculations).
On historical data, scores are always displayed based on closed candles. For better historical detail, use candles down to 1-10 seconds.
If a "forming" pattern disappears — this is a normal part of real-time monitoring: the market changes, and the assessment/confluence recalculates accordingly.
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📈 DIVERGENCE PERCENTAGES — WHAT THEY MEAN
Percentages next to divergences show "Divergence Intensity" — how strongly price and oscillator have diverged between points.
Note: The presence of a divergence itself is factored into the scoring system. However, the percentage values (intensity) are currently NOT included in Score calculation. We may add them in the future if we accumulate sufficient data confirming their statistical significance. For now, percentages serve as a visual hint for your own analysis — an additional confirmation filter.
Note: The indicator also draws forming divergence lines directly on the price chart — for 6 key oscillators (RSI, MACD, MFI, CCI, DRSI, CVD).
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🔧 SCORING SYSTEM COMPATIBILITY
Statistical data profiles are available for: BTC, ETH, and SOL
- Default mode is AUTO : BTC/ETH/SOL detected automatically; all other assets use 'ALTS' (ETH-based) profile
- Manual Override: You can select a specific profile in settings if Bar Replay testing shows it tracks your asset's volatility better
- Indicator readings as tools work on ANY assets and markets
- For non-crypto instruments (Forex, Stocks): if alerts trigger too often or too rarely, adjust MAX SCORE Thresholds in settings
Note: Alert threshold settings (Base, Total, MAX SCORE) also affect "Attention Level" and "Trade Type" display in the UI.
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🔔 ALERT SYSTEM (4-STEP)
The alert system is tiered (each step can be toggled on/off):
Step 1: Base Score — Triggers when mathematical confluence reaches base threshold
Step 2: Core Pattern — Triggers when algorithmic pattern is detected (Breakout/Formation)
Step 3: Total Score — Triggers when total Score reaches threshold
Step 4: MAX SCORE Alert — Final high-score alert (individual thresholds for BTC/ETH/SOL/ALT)
Important: Alert thresholds simultaneously calibrate Attention and Trade Type in the UI.
For automation (bots / webhook-based tools): use Webhook URL. Keep in mind that maximum score is often reached at the wick tip, not at candle close — backtesting on longer TFs may show delayed data.
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🧩 HMSS ECOSYSTEM: HMSS - Impulse Monitor vs. HMSS - Context Engine
This script (HMSS - Impulse Monitor) is one half of a specialized two-module system. It is designed to work either as a standalone tool or alongside its companion, HMSS - Context Engine.
Why separate scripts? To maximize responsiveness and detail without hitting Pine Script resource limits (memory/execution time), the ecosystem is split into two specialized engines. Merging them would compromise real-time performance.
Note: HMSS - Context Engine is not a different preset of the same script — it is a separate engine with its own indicator set, pattern library, and calibration profiles designed for a different purpose and a different analytical scope.
Key Differences & Synergy:
Distinct Purpose (Micro vs. Macro): HMSS - Impulse Monitor (This Script): Designed for "Market Reaction." It monitors 5m/15m/30m specifically to detect local exhaustion, liquidation wicks, and immediate imbalances. HMSS - Context Engine (Companion): Designed for "Market Context." It analyzes 1h/4h/1D/1W structures to identify global trends and major structural pivots.
Distinct Indicator Sets: Each engine includes components better suited for its timeframe domain. HMSS - Impulse Monitor features VWAP Deviation and ATR Spikes — metrics more relevant for intraday dynamics. HMSS - Context Engine incorporates structure-oriented indicators not present here: ADX Exhaustion, OBV Divergence & Z-Score, Delta Histograms, VixFix (WVF), Basis, Williams A/D, and Pivot Distances.
Distinct Calibration Profiles: While both engines are developed using historical market observations, their pattern libraries and threshold values are calibrated independently for their respective metric sets and use-cases. The same market event may register as "Extreme" on HMSS - Impulse Monitor while appearing "Neutral" on HMSS - Context Engine if the broader trend structure remains intact — and vice versa.
💡 Synergy Scenarios (How to use them together): Experienced traders often combine both modules to refine market context and decision-making:
• Trend Pullback (Scalp): If HMSS - Context Engine indicates a strong Trend, but HMSS - Impulse Monitor shows "Extreme Overbought/Oversold" (correction against trend) — this often highlights a short-term counter-trend opportunity or a re-entry point.
• Major Reversal Risk: If BOTH HMSS - Impulse Monitor and HMSS - Context Engine indicate "Max Score" / "Extreme Imbalance" simultaneously — this is a rare statistical event (confluence of micro and macro exhaustion) that historically correlates with significant structural reversals.
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⚙️ TECHNICAL NOTES
🕰️ Real-Time Monitor (No Past Labels):
Crucial Concept: This tool is a Real-Time Monitor , not a "signal painter." It shows the market state HERE AND NOW — it does NOT draw historical Buy/Sell arrows or preserve past dashboard states. The only elements drawn on the chart are currently forming divergence lines.
Calculation Heavy:
We utilize maximum Pine Script limits for calculations. Initial loading may take up to 12-15 seconds — this reflects the precision and volume of processed data. After loading, the indicator operates without noticeable delays, processing data every tick .
Chart TF Independence:
The indicator analyzes fixed MTF streams, so your chart timeframe selection does not affect results. For reduced load and faster response, 5-60 minute charts are preferred.
Recommended Chart Timeframe:
For speed and lower load: 5–60 minutes (optimal)
For super-detailed history, you can go down to second-level candles, but this is a performance/memory tradeoff
Bar Replay — How to See Past Performance:
To understand how the Scoring Engine reacted to specific market moves (e.g., a past crash or pump), use Bar Replay Mode :
1s to 30s: Best accuracy (precise tick-emulation)
1 min: Acceptable (if your plan lacks seconds-based intervals)
> 5 min: Not recommended — accuracy drops as intrabar price action is lost
⚠️ > 15 min: Not recommended — may exceed memory limits (TradingView constraint)
To manage the extensive database of pattern weights and profiles while maintaining high performance, this engine utilizes a custom optimized data structure. This ensures the script operates smoothly within Pine Script's resource limits without compromising the depth of historical analysis.
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🔬 TECHNICAL APPROACH (for the curious)
The indicator uses a proprietary compact data encoding system that allows transmitting information about divergences, their type, length, and intensity in a single numeric value. This enables efficient aggregation of data from multiple timeframes without exceeding Pine Script limits.
The scoring system is built on the Statistical Pattern Matching principle: current indicator combinations are compared against a library of statistically significant patterns, each with its own weight and type (Formation/Breakout).
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🚀 QUICK START
Add HYBRID MARKET SCORE SUITE - Impulse Monitor to your chart.
Position table (recommended: bottom-right ) and adjust Offset / Spacer so it doesn't overlap price action.
In settings, toggle blocks by groups: Divergences / OB-OS / Z-Score / Special / Scoring — to match your trading style and load preferences.
For comfortable operation, use chart TF 5–60m .
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🔄 DEVELOPMENT
The indicator receives periodic updates, including statistical pattern refinements as new market data is accumulated, to maintain relevance with current market conditions. Update schedule is not guaranteed.
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🛡️ DISCLAIMER
This script is provided for informational and educational purposes only and does NOT constitute financial advice, investment advice, or a recommendation to buy/sell any asset.
All examples, descriptions, and statistics are based on historical observations. Market conditions can change, patterns can fail, and signals/labels may disappear or update in real time. No results are guaranteed.
Use this tool as one input among many. Always apply your own judgment, risk management, and independent verification (DYOR). Trading — especially with leverage — involves substantial risk, including the risk of total loss. You are solely responsible for your decisions and outcomes.
Quantum Elasticity Overview: Quantum Elasticity is a sophisticated Mean Reversion Engine based on the law of statistical probability. It models market price action as an elastic system that revolves around a dynamic equilibrium point (Linear Regression).
The Core Logic: Markets are rarely efficient. When price deviates significantly from its historical mean, it creates "Statistical Tension." This script measures that tension using dynamic standard deviation envelopes (Sigma Bands).
Equilibrium: The center line represents the fair value of the asset.
Elasticity Zones: When price enters the "Extreme" bands, the probability of a snap-back towards the mean increases exponentially.
Unique Features:
Non-Lagging Linear Regression: Unlike SMA/EMA, our equilibrium line adapts to the slope of the trend without the heavy lag of traditional indicators.
Dynamic Tension Index: The built-in HUD displays the real-time elasticity of the market, helping traders identify exhaustion points.
Reversion Alerts: "REVERT" signals appear when the market reaches a 1.5x Sigma deviation, indicating a critical oversold/overbought state.
How to obtain access: This is an "Invite-only" script. To gain access, please visit my profile or send a private message for subscription details.
Fractal Chaos & Kalman Trajectory Overview: The Fractal Chaos & Kalman Trajectory is a professional-grade market regime detection tool designed to distinguish between efficient trends and random market noise. Unlike traditional moving averages that suffer from significant lag, this script utilizes a Kalman Filter to estimate the price's true trajectory in real-time.
Core Methodology:
Kalman Filter Engine: An iterative mathematical process that minimizes the mean square error of the price data, providing a smooth line that reacts faster than EMA/SMA.
Hurst Exponent (Fractal Dynamics): This script calculates the fractal dimension of the market.
H > 0.5 (Trend): Indicates persistent market memory; the trend is likely to continue.
H < 0.5 (Mean Reversion): Indicates anti-persistent behavior; the price is likely to revert to the mean.
H = 0.5 (Chaos): Represents Brownian motion; the market is purely random.
How to Use:
AWAKE Signals: Occur when the market breaks out of a chaotic state (Hurst > 0.5) and aligns with the Kalman Trajectory.
Trend Zones: Highlighted backgrounds indicate high-conviction trend environments.
Bar Coloring: Grey bars indicate a "Wait" zone where the market is either random or mean-reverting.
This script is closed-source to protect the proprietary integration of these two quantitative methods.
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TradeAxis TrendlinesTradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
Wyckoff Pro Detector + Dashboard & Alerts [Gemini]Description
Overview The Wyckoff Pro Detector is an advanced Price Action tool designed to automatically identify market structures based on Richard D. Wyckoff's theory. Its main goal is to help traders spot Accumulation and Distribution phases, highlighting critical turning points and institutional manipulation.
Development Logic This script was engineered using Pine Script v5 with a focus on institutional footprint tracking.
Structure Algorithm: It utilizes a custom Pivot High/Low detection mechanism with a variable lookback period (configurable) to filter out market noise and identify valid trading ranges.
Volume Anomaly Detection: Instead of raw volume, the script uses a Relative Volume logic (comparing current volume to a Moving Average) to mathematically identify "Climatic Action" typical of Smart Money intervention.
State Machine: The code operates on a state-based logic, meaning it remembers the previous market phase (Accumulation or Distribution) to validate subsequent signals like Springs or UTADs, reducing false positives.
Key Features
Automated Phase Detection: Identifies and draws dynamic boxes for Accumulation (Green) and Distribution (Red) structures.
VSA Integration: Highlights candles with "Ultra High" volume to signal Selling/Buying Climaxes.
Manipulation Signals:
SPRING (Buy): Detects false breakouts of support with an immediate return into the range.
UTAD (Sell): Detects false breakouts of resistance (Upthrust After Distribution).
Live Dashboard: An on-screen table showing the current Phase, Last Event, Event Time, and Volume Status.
Alert System: Fully configurable alerts for Climaxes, Structure Tests, and Entry Signals.
How to Use
LONG Signal: Wait for an Accumulation phase (Green Box). Look for the yellow "SPRING!" label. This indicates a "bear trap" and potential markup.
SHORT Signal: Wait for a Distribution phase (Red Box). Look for the orange "UTAD!" label. This indicates a "bull trap" and potential markdown.
Settings
Pivot Length: Higher values (20-30) filter noise for macro-structures.
Volume Factor: Adjusts the sensitivity for climatic volume detection.
Credits & Acknowledgements
Concept and Methodology based on the works of Richard D. Wyckoff.
Code logic, optimization, and Pine Script development provided by Google Gemini AI.
Disclaimer This tool is an aid for analysis and does not provide financial advice. Use it in combination with your own risk management.
Smoothed Divergence For Many Indicators | LUPENIndicator Guide: Smoothed Divergence For Many Indicators.
1. What is this Indicator?
'Smoothed Divergence For Many Indicators by LUPEN' is a powerful multi-functional tool designed to detect market reversals and trend continuations. It analyzes the relationship between Price Action and a selected Oscillator (like RSI, MACD, Stochastic, etc.) to identify "Divergences".
Unlike standard indicators that only show you the current value, this tool looks back at history, finds peaks and valleys (pivots), and draws lines connecting them to highlight discrepancies between momentum and price.
2. Key Concepts: The Two Types of Signals
A. Regular Divergence (Reversal Signal) -> R
This occurs when the price trend and the oscillator trend move in opposite directions. It suggests the current trend is losing momentum and a reversal is likely.
Bullish Regular Divergence (Buy Signal):
Price: Makes a Lower Low.
Oscillator: Makes a Higher Low.
Meaning: Sellers are pushing price down, but with less strength than before. Buyers are stepping in.
Visual: A Solid Green line drawn below the price.
Hidden Divergence (Trend Continuation) -> H
This occurs during a pullback in an existing trend. It signals that the main trend is still strong and likely to resume.
Bullish Hidden Divergence (Buy Signal):
Price: Makes a Higher Low (in an uptrend).
Oscillator: Makes a Lower Low.
Meaning: The oscillator cooled off significantly, but price held up well. This "hidden" strength suggests the uptrend will continue.
Visual: A Dashed Blue line drawn below the price.
Bearish Hidden Divergence (Sell Signal):
Price: Makes a Lower High (in a downtrend).
Oscillator: Makes a Higher High.
Meaning: The oscillator rallied hard, but price couldn't break the previous high. This weakness suggests the downtrend will resume.
Visual: A Dashed Orange line drawn above the price.
How to Trade With It
Select Your Oscillator:
Go to the settings and choose your preferred oscillator from the list (RSI is the default and most common).
Tip: RSI is great for general purpose. MACD or OsMA are excellent for trend-following. CCI is good for detecting extremes.
Confirm the Trend:
Look at the chart context. Is the market trending up or down?
If Trending UP: Look primarily for Hidden Bullish (continuation) or wait for Regular Bearish at major resistance levels.
If Trending DOWN: Look for Hidden Bearish (continuation) or Regular Bullish at major support.
Wait for the Signal:
"R" Label: Indicates a Regular divergence (Reversal). Be ready for a potential change in trend direction.
"H" Label: Indicates a Hidden divergence (Continuation). This is often a high-probability entry point to join an existing trend.
T3 Smoothing (Optional but it's the core of the indicator):
The indicator includes a "T3 Smoothing" feature enabled by default. This smooths out the jagged lines of the oscillator to reduce false signals.
Adjustment: If you find the signals are too slow, you can turn off Use T3 Smoothing in the settings to see the raw oscillator data.
Combine with Support/Resistance: A Regular Bullish Divergence that appears exactly at a major Support Level is a much stronger signal than one that appears in the middle of nowhere.
Inducement [Kodexius]Inducement is a market structure overlay indicator designed to help you contextualize liquidity driven pullbacks inside an established structural trend. Rather than treating every sweep or wick as equal, it frames “inducement” as a selective event that tends to appear after structure has shifted and price is engineering a retracement to attract late participants, clear nearby liquidity, and create fuel for continuation.
At a high level, the script separates price action into two layers:
External (macro) structure to define meaningful swing points and detect structural shifts (Break of Structure).
Internal (micro) structure to locate the more subtle swing levels that are commonly targeted during retracements.
Once a valid structural break establishes directional context, the indicator looks for a characteristic internal level raid that occurs without invalidating the broader structure (i.e., structure remains “protected”). When that raid is followed by evidence of intent/continuation (displacement style behavior), the event is marked as an inducement and plotted directly on the chart.
The result is a clean, rules based way to highlight high probability “pullback bait” zones helping you distinguish between random noise and a retracement that is more consistent with structured continuation behavior.
🔹 Features
🔸 Dual Layer Swing Engine (Internal vs External)
Internal and external swing detection work together to separate micro structure from macro structure. Internal swings capture nearer term pivot behavior, while external swings define the larger structural framework. Sensitivity can be tuned through swing length inputs, and historical depth can be managed to keep the chart clean and performance stable.
🔸 Break of Structure (BOS) Context Filter
BOS acts as a context gate that defines the active directional regime. Rather than generating signals in isolation, inducement evaluation is tied to structural context, enabling cleaner interpretation of “what matters now” versus what is simply historical noise.
🔸 Structure Protection (Invalidation Awareness)
A key differentiator is the emphasis on structure staying intact. Inducement candidates are only considered while the relevant macro framework remains protected. This helps filter out pullback like events that are actually part of a reversal or breakdown sequence, keeping attention aligned with continuation friendly conditions.
🔸 Inducement Detection With Optional Sweep Strictness
Inducements are derived from internal levels that form around post break retracement behavior levels that are commonly “targeted” during pullbacks. You can choose a stricter interpretation (e.g., close confirmation) for stronger validation, or a more permissive interpretation if you prefer to capture wick based raids while still requiring follow through behavior.
🔸 Intent / Displacement Confirmation (Volatility Aware)
To reduce false positives from shallow noise, the script incorporates a volatility aware confirmation layer. This helps ensure the marked event is not just a minor sweep, but is followed by behavior more consistent with directional commitment improving selectivity across different assets and market conditions.
🔸 Clean On Chart Visualization (BOS + IDM Levels)
The overlay is designed to be readable and practical: BOS levels are presented clearly, and inducements are marked with distinct level styling and labeling (bullish vs bearish). The visual output aims to support fast decision making without overwhelming the chart.
Bullish IDM:
Bearish IDM:
🔸 Chart Hygiene Controls (Limit Visible History)
You can limit how many historical inducements remain visible to prevent clutter especially helpful on lower timeframes or long sessions. This keeps focus on the most relevant, recent structural narrative.
🔸 Designed for Confluence Based Trading Workflows
This indicator is best used as a context + trigger assistant, not a standalone entry system. It integrates naturally with higher timeframe bias, session logic, supply/demand mapping, execution models, and risk planning providing structure aligned pullback references you can combine with your own confirmations.
ParetoCapital Volatility AlgorithmParetoCapital Volatility Algorithm — Strategy Description
This strategy is a volatility-driven breakout system designed to participate only in markets that exhibit sufficient price activity and structural clarity. All signals are evaluated on candle close to ensure stable, non-repainting behavior.
The strategy adapts its execution logic based on long-term market context while maintaining consistent risk exposure across changing volatility regimes.
Volatility Filter
Trades are taken only when current market volatility exceeds a defined baseline. This filter is intended to suppress signals during low-activity or range-bound conditions and to focus execution on periods where directional movement is more likely to persist.
Market Regime Assessment
A long-term reference is used to classify the prevailing market environment:
When price is positioned above the long-term reference, the market is treated as trend-favorable.
When price is below the reference, the market is treated as non-trend or transitional.
This classification determines how entries are structured but does not attempt to forecast direction.
Entry Logic
In trend-favorable conditions, the strategy seeks continuation trades in the direction of the prevailing trend. Entries are triggered only after price confirms strength through a breakout beyond recent levels.
In non-trend conditions, the strategy prepares for volatility expansion in either direction. Trades are initiated only when price breaks decisively beyond recent boundaries, allowing the market to determine direction.
All entries are confirmation-based and are not executed at market without prior price expansion.
Position Sizing and Risk Control
Position size is dynamically adjusted according to current market volatility. Risk per trade is kept proportional and consistent, while overall capital usage is constrained to prevent overexposure.
This approach allows the strategy to remain risk-controlled during both high- and low-volatility environments.
Exit Logic
Positions are exited when price action indicates a material loss of momentum relative to recent market structure. The exit logic is designed to tolerate minor counter-moves while responding decisively to structural weakness.
Key Characteristics
Candle-close confirmation
Non-repainting behavior
Volatility-adaptive execution
Regime-aware trade logic
Systematic risk management
Strategy Objective
The objective of this strategy is to capture a limited number of structurally strong price movements while minimizing exposure during non-productive market conditions. It prioritizes selectivity, confirmation, and risk discipline over trade frequency.
Usage Notes
The strategy is optimized for major cryptocurrencys, where volatility expansion and momentum continuation are more prevalent.
Best results have been observed on BTCUSD using the 15-minute and 30-minute timeframes.
Performance on other assets or timeframes may vary and should be evaluated through independent testing.
Simple VWMA Smooth | QuantEdgeBSimple VWMA Smooth (SVS) | QuantEdgeB
🔍 What Is Simple VWMA Smooth?
SVS is a smoothed, volume-aware trend filter that blends a Gaussian-pre-filtered, low-lag moving average with dynamic standard-deviation bands. It identifies trends by measuring when price moves decisively above or below a VWMA (Volume-Weighted Moving Average) baseline—filtering out noise while letting high-volume moves carry more influence than low-volume noise.
⚙️ Core Components
1) DEMA Pre-Filter
A double-EMA smoothing step to reduce initial noise before further processing.
2) Gaussian Smoothing
Applies a small-kernel Gaussian filter to produce a cleaner input series that suppresses rapid spikes.
3) VWMA Baseline (Volume-Weighted Average)
Computes a moving average where each bar is weighted by volume, so the baseline tracks “meaningful” price moves more than low-liquidity fluctuations.
• In high volume → the baseline reacts more to those candles
• In low volume → price changes have less impact
4) Volatility Bands
Surrounds the VWMA line with ± N × SD bands (separate multipliers for upper and lower) to capture current market volatility, creating dynamic thresholds for trend detection.
5) Trend Signal
• Long when price closes above the upper band
• Short when price closes below the lower band
• Otherwise neutral
💡 Why It’s Special
• Volume-Validated Responsiveness: VWMA prioritizes moves backed by volume, helping reduce signals caused by thin-market noise.
• Multi-Stage Filtering: The DEMA → Gaussian → VWMA sequence suppresses noise while keeping trend structure clear.
• Asymmetric Bands: Separate multipliers for upper/lower bands let you tune bullish vs bearish sensitivity independently.
• Visual Clarity: Color-coded candles and filled bands highlight trending phases at a glance, while backtest tables quantify performance.
📊 Backtest Mode
SVS includes an optional backtest table, enabling traders to assess historical effectiveness before using it live.
Backtest Metrics Displayed:
• Equity Max Drawdown
• Profit Factor
• Sharpe Ratio
• Sortino Ratio
• Omega Ratio
• Half Kelly
• Total Trades & Win Rate
💼 Ideal Use Cases
• Trend Identification: Spot cleaner trend starts/exits across stocks, FX, or crypto with reduced lag and fewer false breakouts.
• Volume Regimes: Helps distinguish “real” moves (high participation) from weak moves (low participation).
• Multitimeframe Alignment: Confirm direction across timeframes before entries.
• System Building Block: Use as a volume-aware filter inside broader strategies.
🎨 Default Configuration
• DEMA Length: 7
• Gaussian Kernel: length = 4, sigma = 2.0
• VWMA Length: 14
• Volatility Bands: SD length = 40
📌 In Summary
Simple VWMA Smooth | QuantEdgeB is a volume-weighted, noise-suppressed trend filter that combines DEMA smoothing, Gaussian filtering, a VWMA baseline, and dynamic SD bands to separate genuine directional moves from market noise—across any asset or timeframe.
🔹 Disclaimer : Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice : Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
RSI Divergence + MTF Table FinalInstitutional RSI Divergence & MTF Confluence Heatmap
Overview
The Institutional RSI Divergence & MTF Confluence Heatmap is a professional-grade analytical tool designed for high-precision traders. It combines Automated RSI Divergence Detection with a Multi-Timeframe (MTF) Heatmap Table, allowing you to monitor market momentum across 8 different timeframes (from 1-minute to 1-day) without ever switching charts.
Key Features
🔍 Automated Divergence Detection: Instantly identifies Regular Bullish and Bearish divergences on the RSI oscillator, marking them with clear "Bull" and "Bear" labels.
📊 MTF Heatmap Grid: A real-time monitoring table that tracks RSI values across: 1m, 5m, 15m, 30m, 1h, 4h, 12h, and 1D.
🎨 Dynamic "Institutional" Color Logic: The table uses a sophisticated color-coded system to highlight extreme exhaustion and momentum:
Ultra Overbought (RSI > 90): Bright Red (Extreme Reversal Zone).
Overbought (RSI > 80): Orange (High Momentum/Caution).
Oversold (RSI < 26): Lime Green (Potential Accumulation).
Neutral: Gray (Consolidation).
🛠️ Flexible Layout Engine: Toggle between Vertical or Horizontal layouts to fit your chart workspace perfectly.
🚀 Pine Script v6 Optimized: Built with the latest TradingView engine for ultra-fast performance and minimal lag.
Trading Strategy: The Power of Confluence
Cross-Timeframe Confirmation: The strongest reversals occur when multiple timeframes (e.g., 15m, 1h, and 4h) all turn Orange/Red or Lime simultaneously. This represents a massive momentum exhaustion.
Divergence Validation: Use the table to see if a detected "Bull" divergence on your current timeframe is backed by "Oversold" conditions on higher timeframes.
Institutional Sniping: Combined with Demand/Supply zones, this script helps you "snipe" entries at the exact moment market momentum peaks or bottoms out.
Settings & Customization
Toggle Compact Mode: Display a minimal version of the table for a cleaner interface.
Custom Thresholds: Modify RSI levels to suit your specific trading style (Scalping vs. Swing Trading).
Table Position: Move the heatmap to any corner of your screen (Top Right, Bottom Left, etc.).
How to Install
Copy the code into your Pine Editor.
Click Save and Add to Chart.
Use the Settings menu to adjust the layout and colors to your preference.
Suggested Tags
#RSI #Divergence #MTF #Heatmap #Institutional #PineScriptV6 #MultiTimeframe
Volume-Based Candle ColoringDisable your Candle Borders, Body and Wicks from the Symbols Settings of your Chart to properly use this Indicator
You can Customize colors and use it to trade as per your Volume preference (Eg. You can turn all the other candles to white if you want to only Trade around breakout of Strong Volume Candles)
Comment Below to request changes
🐍🐢
kamonosukeThe stop loss is always set at the short-term resistance zone.
If there is no clear resistance level nearby, we zoom out to a higher timeframe and set the target at a key mid-to-long-term level.
Once the setup is complete, we simply wait to see if price moves as expected.
When the target is reached and broken, we take profit and close the trade.
KVS-RSI Target Price- MTF -DivergenceRSI Target Price
MTF
Divergence
KVS-RSI Target Price & Dashboard (MTF) - Divergence
Description: This indicator is a comprehensive Multi-Timeframe (MTF) analysis tool designed to project future price levels based on RSI values. It reverse-engineers the RSI formula to calculate exactly what price is needed for the RSI to hit key levels (Overbought, Oversold, and Pivot).
Key Features:
MTF Support & Resistance: Automatically draws dynamic S/R lines for 4 different timeframes.
Price Projections: Calculates target prices for RSI levels 80, 70, 50 (Pivot), 30, and 20.
Live Dashboard: A customizable table displaying RSI values, projected price targets, and MACD trends for all selected timeframes.
ChoCh Pattern with Trading Levels + Candlestick PatternsBuilt for smart money traders and market structure enthusiasts, the ChoCh Pattern indicator identifies powerful Change of Character reversals with precision. Features intelligent swing point detection, automated risk-reward level plotting, and comprehensive performance tracking to optimize your trading edge in any market condition.
Smart Money Structure Detection - Identifies bullish and bearish Change of Character patterns based market structure analysis and Candlestick patterns Detection,Eliot Waves with T levels
Automated Entry & Exit Levels - Generates entry points with 4 customizable take-profit targets (TP1-TP4) and stop-loss placement based
Real-Time Performance Dashboard - Tracks hit rates for all TP levels, stop-loss statistics, and cumulative P&L across all signals
Visual Trade Management - Clear buy/sell arrows, color-coded level lines, and dynamic price labels for effortless trade execution
Traders seeking systematic risk management with multiple profit targets
KVS-RSI Target Price- MTF RSI Target Price
MTF
Without Divergence
KVS-RSI Target Price & Dashboard (MTF)
Description: This indicator is a comprehensive Multi-Timeframe (MTF) analysis tool designed to project future price levels based on RSI values. It reverse-engineers the RSI formula to calculate exactly what price is needed for the RSI to hit key levels (Overbought, Oversold, and Pivot).
Key Features:
MTF Support & Resistance: Automatically draws dynamic S/R lines for 4 different timeframes.
Price Projections: Calculates target prices for RSI levels 80, 70, 50 (Pivot), 30, and 20.
Live Dashboard: A customizable table displaying RSI values, projected price targets, and MACD trends for all selected timeframes.
All MA Cross StrategyAll MA Cross Strategy is a fully automated, rule-based TradingView strategy built around multiple Moving Average crossovers. It identifies high-probability trend trades while incorporating robust risk management to protect positions and capital.
🔹 Key Features
Supports multiple MA types: SMA, EMA, WMA, HMA, DEMA, TEMA, RMA
Customizable source options: OHLC, HL2, HLC3, OHLC4, Volume
Trend confirmation using ADX and Directional Movement
Optional candle confirmation filter for precise entries
Flexible quantity management (Fixed, Decimal, Exposure)
Compatible with any timeframe or market: Crypto, Forex, Stocks, Indices
🔹 Advanced Risk Management
Stop Loss (Points / % / Pips) to limit potential loss
Target Profit (Points / % / Pips) to secure gains
Multiple Trailing Stop-Loss modes for position protection:
ATR, Adaptive ATR, Dynamic ATR
EMA, SMA, HMA, VWMA
Supertrend, Parabolic SAR, Chandelier Exit
Fractal & Swing High/Low
Profit Factor Adaptive Lock
Automatically chooses the most protective stop (SL or TSL) based on market movement
🔹 Why Protected Technology
The proprietary components that justify the closed-source nature of this strategy lie entirely within its advanced exit engine, which includes protected trailing algorithms, volatility-adaptive structures, and multi-layer risk-shield mechanisms. These functions are the intellectual property of the model and are not present in any open-source variants. The closed-source design ensures that the internal protection logic, trade-survival architecture, and smart-exit sequencing remain secure, tamper-proof, and exclusive to this system.
📈 Smart Trade Management
Automatic position reversal handling
Profit-based dynamic trailing adjustment
Volatility-adaptive ATR calculation
Real-time plotting of entry, SL, TSL & Target
Dashboard displaying live P&L for each position
🧠 Strategy Logic
Long: Fast MA crosses above Slow MA with strong trend confirmation
Short: Fast MA crosses below Slow MA with strong trend confirmation
🔹Default Backtest Logic
This strategy comes pre-configured with realistic and professional default backtest settings:
Initial Capital: $1000
Position Size: 0.01 lots
Commission: 0.05% per trade
Slippage: 5 ticks
Stop Loss / Target: Default off, adjustable
Trailing Stop: Default off, can be enabled via advanced options
MA Lengths: 50/100 EMA (classic trend-following configuration)
Trade Confirmation: Candle confirmation off for simplicity and speed
⚠️ Disclaimer
This strategy is for educational and research purposes only.
It does not constitute financial advice. Always test on paper trading or backtesting before using live. Market conditions vary, and no strategy guarantees profit.






















