Market Pressure Regime [Interakktive]The Market Pressure Regime (MPR) is a 4-state market classifier that models how structural forces create "pressure zones" — regions where price movement is either supported (Release) or suppressed (Pinned) by market microstructure.
It combines compression analysis, follow-through efficiency, and stress detection into a composite pressure score, classifying markets into Release, Suppressed, Transition, or Trap states — helping traders understand WHY price is moving (or not moving) in the current environment.
█ USAGE
MPR addresses a core question traders face: Is the market in a regime where directional moves are likely to follow through, or is it structurally pinned?
For swing traders, MPR identifies Release phases where momentum strategies work best, and Suppressed phases where mean reversion dominates.
For day traders, it highlights Trap conditions — high effort with no follow-through — where reversals are probable and trend entries fail.
🔹 The 4-State Model
The indicator classifies markets into four distinct regimes:
• Release (Teal): Pressure score ≥ +5. Directional flow dominates. Price moves efficiently with follow-through. Favor trend continuation.
• Suppressed (Grey): Pressure score ≤ -5. Compression dominates. Price is range-bound or pinned. Fade extremes, expect reversion.
• Transition (Amber): Score between thresholds OR instability detected. Regime is uncertain — wait for confirmation before committing.
• Trap (Magenta): High stress + low follow-through. Effort without result. Expect reversals.
🔹 Reading the Pressure Histogram
The histogram displays the composite Pressure Score (range approximately -100 to +100):
• Positive values: Follow-through exceeds compression. Market is "releasing" — directional moves are supported.
• Negative values: Compression exceeds follow-through. Market is "suppressed" — price movement is constrained.
• Color reflects confirmed state: The histogram uses persistence filtering — a state must hold for N bars before the color changes, preventing false signals from noise.
🔹 The 5-Stage Calculation
MPR synthesizes five analytical stages into the final state:
1. Compression Score: Measures how tight the current range is relative to ATR. High compression suggests structural forces are pinning price.
2. Follow-Through Score: Measures price path efficiency (MER-style). Efficient moves indicate genuine directional flow, not chop.
3. Stress Score: Detects effort-without-result (ERD-style). High volume or range with no price progress = absorption.
4. Composite Pressure: Combines follow-through and compression into a single directional score.
5. Persistence Filter: Requires states to hold for configurable bars before confirming, eliminating flickering.
█ SETTINGS
Core Settings
• ATR Length: Period for volatility normalization. Default 14.
• Baseline Lookback: Period for compression and efficiency baselines. Default 20.
• Volume Average Length: Period for stress calculation baseline. Default 20.
State Classification
• Release Threshold: Pressure score above this = Release. Default +5.
• Suppressed Threshold: Pressure score below this = Suppressed. Default -5.
• Trap Threshold: Stress score above this (with low follow-through) = Trap. Default 30.
• Persistence Bars: Bars required to confirm state change. Default 3.
• Stability Lookback: Period for stability calculation. Default 20.
• Stability Threshold: Below this = forced Transition state. Default 0.5.
Visual Settings
• Show Pressure Histogram: Display the main pressure score histogram.
• Show Zero Line: Display the zero reference line.
• Show Background Tint: Subtle background color by state (default OFF).
Data Window
• Show Data Window Values: Export all calculated scores for analysis.
█ INTERPRETATION GUIDE
When to Use Trend Strategies (Release):
• Histogram tall and positive
• Teal coloring confirmed
• Price making efficient higher highs or lower lows
When to Use Mean Reversion (Suppressed):
• Histogram flat or negative
• Grey coloring confirmed
• Price oscillating without follow-through
When to Wait (Transition):
• Amber coloring
• Mixed signals — don't force trades
• Wait for state to resolve
When to Expect Reversals (Trap):
• Magenta coloring
• High volume moves that don't stick
• Often occurs at structural inflection points
█ COMPLEMENTARY TOOLS
MPR pairs well with:
• Volatility State Index (VSI) — Confirms whether volatility is expanding into the pressure regime
• Effort-Result Divergence (ERD) — Provides bar-by-bar absorption/vacuum detection
• Market Efficiency Ratio (MER) — Validates follow-through quality
█ SUITABLE MARKETS
Works across all liquid markets:
• Equities: SPY, QQQ, liquid single stocks
• Futures: ES, NQ, CL, GC
• Crypto: BTC, ETH
• Forex: Major pairs
Works on any timeframe, but 1H–Daily provides cleanest regime classification. Intraday (5m–15m) useful for session-level tactical decisions.
█ OPEN SOURCE
This indicator is open-source for educational purposes. Review the code to understand the full calculation methodology.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
Trend Analysis
SMH_DualMomentum (ROC + Volume Trend)SMH Dual Momentum (ROC + Volume Confirmation)
This indicator identifies high-quality bullish trends by combining price momentum (Rate of Change) with volume confirmation, and exits when momentum structurally fails.
Core Logic
BUY signal
Rate of Change (ROC) over N periods is above a positive threshold (strong upside momentum)
Current volume is above its moving average (rising market participation)
SELL signal
ROC crosses below zero, indicating loss of bullish momentum
Why It Works
ROC measures the speed and strength of price movement, filtering out weak or drifting trends
Volume confirmation ensures momentum is supported by real capital flow, reducing false breakouts
Momentum-based exit avoids prolonged drawdowns and capital stagnation
Key Advantages
Focuses on trend continuation, not prediction
Filters out low-quality price moves and range-bound markets
Captures long, high-conviction trends with relatively few trades
Simple, robust rules using only price and volume
Best Use Cases
Designed for trend-driven ETFs such as SMH (Semiconductors)
Suitable for swing to position trading on daily charts
Works best in markets with strong sector rotation and institutional participation
Notes
This is a trend-following momentum tool, not a mean-reversion indicator
No stop-loss is built in; risk management should be handled externally if required
Parameters can be adjusted to match different timeframes or assets
SMH DualMomentum Signals (ROC + Volume)SMH Dual Momentum (ROC + Volume Confirmation)
This indicator identifies high-quality bullish trends by combining price momentum (Rate of Change) with volume confirmation, and exits when momentum structurally fails.
Core Logic
BUY signal
Rate of Change (ROC) over N periods is above a positive threshold (strong upside momentum)
Current volume is above its moving average (rising market participation)
SELL signal
ROC crosses below zero, indicating loss of bullish momentum
Why It Works
ROC measures the speed and strength of price movement, filtering out weak or drifting trends
Volume confirmation ensures momentum is supported by real capital flow, reducing false breakouts
Momentum-based exit avoids prolonged drawdowns and capital stagnation
Key Advantages
Focuses on trend continuation, not prediction
Filters out low-quality price moves and range-bound markets
Captures long, high-conviction trends with relatively few trades
Simple, robust rules using only price and volume
Best Use Cases
Designed for trend-driven ETFs such as SMH (Semiconductors)
Suitable for swing to position trading on daily charts
Works best in markets with strong sector rotation and institutional participation
Notes
This is a trend-following momentum tool, not a mean-reversion indicator
No stop-loss is built in; risk management should be handled externally if required
Parameters can be adjusted to match different timeframes or assets
Hybrid Drift Allocation EngineThis script works like an automated personal allocation engine for long term non expiring investments. This will allow recurring deposits to be allocated with hybrid weighting that allocates according to user inputs , it will self adjust to keep even weight. it will also not cut allocation to overperformers to bring underperformers into correction (it wont water the weeds while starving the runners). it is set and forget with minimal input after setup with almost complete automation 95% automated.
Friday Statistical Zones - Last 30 Fridays Only BTC 📊 Friday Statistical Zones (Pre / Dump / After)
This indicator highlights statistical risk zones for Fridays, based on the last 30 completed Fridays.
It analyzes historical price and volume behavior to determine:
• When a Pre-Dump phase typically starts
• When selling pressure statistically peaks
• When the After-Dump phase usually occurs
The result is a time-based overlay with three zones:
🟡 Pre-Dump · 🔴 Dump · 🟡 After-Dump
⚠️ This is not a signal indicator.
It does not predict price direction.
It provides risk-timing context only.
Best used for risk management and situational awareness on Fridays, not as a standalone trading strategy.
BK AK-Ghost Ladder⚔️ BK AK-Ghost Ladder — Smart Money Gaps. True Support/Resistance. ⚔️
There are already some excellent FVG tools out there—built by traders who’ve put in real work studying imbalance, liquidity, and smart money behavior.
BK AK-Ghost Ladder is simply my version of that idea: my attempt to take what I learned from those great frameworks and push it further into volume, structure, lifecycle, and accountability—so every zone is treated as a living, graded object, not just a static box on a chart.
Why “Ghost Ladder”? Because the real market is full of invisible rungs—thin pockets of liquidity, imbalance steps, and defended boundaries that price climbs and falls through like a ladder you can’t see until it matters. This tool is built to reveal those rungs before you get punished by them.
“AK” in the name is not branding—it’s honor. It belongs to my mentor A.K., whose standard of discipline and clarity sits behind every decision in this tool. Above that, all glory and gratitude to Gd—the real source of any wisdom, edge, or endurance we have in this game.
🧠 What BK AK-Ghost Ladder Actually Does
This is a full institutional FVG/SR system, not a paintbrush. It:
Detects and manages bullish & bearish FVG zones using ATR/percent filters and aging logic
Assigns a 0–100 institutional strength score and 1–5★ rating to every zone
Builds a per-zone lower-timeframe volume profile with POC, volume delta, and optional volume text
Tracks historical touches, breaks, role reversals, merging, clustering, and divergence at the zone
Runs per-zone backtest stats and feeds that into an adaptive/ML-style confidence weight
Compresses the whole environment into a real-time Info Table: bias, market position, nearest S/R, risk, session
Fires alerts only when something actually matters: strong FVGs, magnetic pull, divergence at a level
If price is the map, this is the layer that tells you which levels are real and which are noise.
🧱 Core Engine — Institutional Zone Logic
Smart FVG Detection
Clean 3-bar gap logic for bullish & bearish FVGs
ATR or % based minimum gap size + optional distance filter from price
Zone aging with max life in bars and optional “reset on touch”
Overlap & proximity control:
Prevent overlapping zones
Enforce minimum bar spacing
Or keep only the strongest zone in a cluster
Institutional Strength & Rating
Each zone gets a score (0–100) + star rating (1–5★) based on:
Volume vs average (with optional lower timeframe split)
Gap size vs ATR
Pivot confluence
Historical meaningful touches
Role reversal (support ↔ resistance)
MTF FVG alignment
Session weighting (Asian / London / NY / overlaps)
Order block overlap & imbalance behavior
VWAP proximity/extremes
Fib level alignment
Delta divergence
Zone clustering & consolidation
Adaptive “performance weight” from historical reactions
Bad zones don’t just look weaker—they literally get filtered out when you enable minimum star / institutional filters.
📊 In-Zone Volume & Profile Intelligence
Each zone can be backed by lower-timeframe volume:
Per-zone volume histogram inside the gap
POC line at the most traded price in that zone
Optional total volume label
POC line color shifts with volume delta (buy vs sell pressure)
Additional bull/bear volume bars alongside the zone and/or numeric volume text inside the box
You’re not just staring at a gap—you’re seeing the liquidity pocket inside the gap.
🎯 Structure, Confluence & Role Reversal
The engine includes deep structural context:
Pivots: stored swing highs/lows for S/R confluence
MTF FVG Confluence: two extra timeframes for higher-timeframe alignment
Fibonacci Levels: auto-mapped 0.236 / 0.382 / 0.5 / 0.618 / 0.786 with optional lines & labels
Order Blocks & Imbalance: engulfing OB detection + volume/imbalance filters
VWAP Intelligence: VWAP proximity/extreme bonuses, optional short-form plotting
Delta Divergence: volume-based confirmation flags for zones under real internal pressure
Smart S/R Positioning & Role Flip
Hide “wrong side” zones or auto-flip roles when broken & retested
Track broken zones for N bars, then retire them
Mark role reversals with badges and strength bonuses
Support/resistance is treated like behavior, not just lines.
🤖 Adaptive Learning & Backtesting
Each zone is monitored when price touches it:
Checks if price respects the zone and moves X points away (success)
Or violates beyond failure threshold (failure)
Tracks successes, failures, and win rate per zone
Feeds a confidence score into an adaptive weight so consistently performing zones matter more
Zones that meet the bar get ML/🤖 marking when enabled
The script doesn’t just say “this looks strong”—it tracks how it actually behaved.
📋 Info Table & Sessions — On-Chart War Room
On the latest bar, an Info Table summarizes:
Zone count (bull vs bear)
Market position (NEAR SUPPORT / NEAR RESISTANCE / ABOVE RESISTANCE / BELOW SUPPORT / NEUTRAL)
Nearest S/R levels
Trade bias (BULLISH / BEARISH / NEUTRAL)
Active session (ASIAN / LONDON / NY / OVERLAP / OFF)
Risk level (LOW / MED / HIGH)
Sessions are coded in EST with multipliers so you can weight London/NY more heavily than Asia if that matches your playbook.
Hover the table for a strategy tooltip: live market posture, suggested behavior near the zones, and context around the current environment.
⚠ Divergence & Alerts
Real-time RSI/OBV/ADX divergence detection at the zone
Flexible visual modes: border, icon, color change, or combinations
Alerts included:
Magnetic Zone Pull (price entering ATR-based “field” of a strong zone)
Strong Bullish FVG
Strong Bearish FVG
Divergence at Zone
Let the chart call you when a real decision point appears, instead of forcing you to stare all day.
🕹 How to Use BK AK-Ghost Ladder
1️⃣ Build Bias With Structure
Use the Info Table, star ratings, and where the 4–5★ zones cluster relative to price to decide which side of the tape you’re allowed to trade on.
2️⃣ Only Trade From Strong, Aligned Zones
Focus on 4–5★ zones with confluence (pivots, Fib, OB, VWAP, clustering).
Use the zone body/wick region as your execution area, not some random mid-air candle.
3️⃣ Treat Role Reversal & Clusters as Campaign Nodes
When a strong zone breaks, flips role, and collects touches, that’s campaign territory—not scalp noise.
4️⃣ Use Divergence/Delta as a Brake, Not a Toy
If divergence lights up at your level, respect it: size down, wait for confirmation, or stand down.
5️⃣ Let the Engine Filter Junk For You
Tune volMultiplier, star thresholds, session multipliers, distance filters, and min star rating to match your timeframe and instrument.
This script’s job is to remove your excuse for taking low-quality trades.
📜 Boundaries & Wisdom
King Solomon wrote:
“Do not remove the ancient boundary stone that your fathers have set.”
This tool is built around that idea. It maps where the real boundaries live—where smart money defends, attacks, traps, and reverses.
It will not give you discipline. It will simply remove the illusion that “you didn’t know the level was there.”
⚔️ BK AK-Ghost Ladder — Map the Smart Money Gaps. Trade Only the Real Levels.
May Gd bless your vision, your patience, and every decision you make at the edge. 🙏
Techno Signals Pro ⚡ QUICK SETUP
FOR BEGINNERS:
Keep all defaults
Trade only A+ signals
Use provided TP/SL levels
Wait for volume confirmation
FOR ADVANCED:
Adjust confluence threshold (higher = fewer but better signals)
Toggle divergence optional for more flexibility
Use MTF alignment for higher timeframes
Enable slippage buffer for realistic risk
🚀 GETTING STARTED
Add indicator to your chart
Check table for current signal
Verify conditions match your timeframe
Set orders at TP/SL levels
Manage trade according to grade
Remember: No indicator is perfect. Always use proper risk management and combine with price action confirmation. Start with paper trading to understand the system before real money.
Session Volume Profile - Asia London NYSession Volume Profile – Asia, London, NY
Description
OVERVIEW
Session Volume Profile is a technical analysis indicator designed to visualize how volume is distributed during the three primary global trading sessions: Asia, London, and New York. The script separates intraday volume data into time-defined sessions to help traders observe where trading activity concentrated and how value areas evolve as liquidity transitions between regions.
This indicator is intended for market structure and contextual analysis, not signal generation.
TECHNICAL OUTPUT
For each enabled session, the indicator calculates and displays:
Point of Control (POC)
The price level with the highest traded volume during the session.
Value Area High / Low (VAH / VAL)
The price range containing a user-defined percentage of total session volume (commonly 70%).
Session Volume Histogram
A horizontal volume-at-price visualization showing relative participation across price levels, highlighting high- and low-volume areas.
CALCULATION FRAMEWORK
Session Segmentation
Sessions are identified using exchange-based time boundaries. Each session is processed independently to prevent overlap and ensure clean separation of volume data.
Volume Binning
Intraday volume is allocated into discrete price buckets using an array-based structure. The resolution of these buckets is controlled by the Histogram Density input.
Value Area Expansion
The script identifies the session’s POC and expands outward in both directions until the selected percentage of total volume is reached, defining the Value Area High and Low.
HOW TO USE
Session Context
Observe how price reacts to prior-session POC and value areas when a new session begins.
Customization Controls
Individual sessions can be enabled or disabled, and visual opacity can be adjusted to maintain clarity on lower timeframes.
Session Awareness
An optional countdown timer displays remaining session time to help traders stay aware of upcoming liquidity transitions.
DESIGN NOTES
This indicator visualizes historical volume distribution only. It does not identify specific participants or predict future price behavior. All calculations are derived exclusively from price and volume data available on the chart.
DISCLAIMER
This script is provided for educational and analytical purposes only. It does not generate trade signals, alerts, or financial advice. Historical volume distributions do not guarantee future market behavior.
3MA Alignment Ribbon [AlgoTraderPro]3MA Alignment Ribbon is a clean, visual trend-structure indicator based on the alignment of three moving averages.
Instead of focusing on crossovers, it highlights trend quality and direction by dynamically coloring the moving averages and the ribbon between them.
The goal is simple : See at a glance whether the market structure is bullish, bearish, or neutral.
⸻
How It Works
The indicator plots three moving averages (Fast, Medium, Slow) and evaluates their alignment:
Bullish → Fast > Medium > Slow
Bearish → Fast < Medium < Slow
Neutral → Any other configuration
The moving averages and the filled ribbon between them are automatically colored based on this alignment, making trend conditions immediately visible.
⸻
Key Features
✅Multi-MA Support
Choose between:
EMA (default)
SMA
WMA
VWMA
RMA
HMA
✅ Alignment Modes
Strict: classic Fast > Medium > Slow logic
Tolerant: requires a minimum percentage separation between averages to reduce noise in ranging markets
✅ Optional Slope Filter
Filter signals by requiring the slow MA to be rising or falling, helping avoid false trend states during flat conditions.
✅ Higher Timeframe (HTF) Ribbon
Overlay the same 3MA alignment logic from a higher timeframe on your current chart:
Fully optional
Correctly calculated on the HTF itself
Option to use confirmed HTF bars only (reduces repaint confusion)
✅ Alerts & Visual Signals
Alerts when alignment turns Bullish, Bearish, or Neutral
Optional on-chart markers when the alignment flips
✅ Custom Styling
Fully customizable colors and transparency
Designed to remain readable without cluttering the chart
⸻
How to Use It
This indicator works best as:
A trend filter for discretionary trading
A context tool for entries using other setups
A market structure overlay for scalping, swing trading, or position trading
It does not generate buy/sell signals by itself — instead, it helps you trade aligned with market structure.
⸻
Default Settings
The default lengths (50 / 100 / 200 EMA) are suitable for most markets and timeframes, including crypto, forex, indices, and equities.
sullaojo 3mHere is the English translation for the alert setup instructions:
**How to Set Up Alerts (After Adding the Code)**
1. Click the **Add to chart** button to apply the indicator to your graph.
2. Click the **Alarm Clock icon (Alerts)** on the top right toolbar of TradingView, or press `Alt + A`.
3. In the **Condition** field:
* Select the indicator named **"MA Crossover Buy Alert..."**
* Select **"แจ้งเตือนซื้อ (Buy Alert)"** to receive only buy signals.
4. In the **Trigger** (or Options) section: Select **Once per bar close**.
*(This is recommended per the textbook to confirm that the closing price actually crossed the line, avoiding false signals during intraday volatility.)*
5. Check **Notify on App** (for mobile) or **Show pop-up** as desired, then click **Create**.
Now, when the moving averages cross according to the textbook's conditions, the system will send you an alert immediately!
Market Efficiency DashboardDescription
This indicator is an analytical tool designed to visualize the relationship between price action and market efficiency. Based on the Choppiness Index (CI), this indicator identifies whether the market is in a state of Range Contraction (Consolidation) or Range Expansion (Trending) . This implementation introduces a unique 50-pivot baseline to better differentiate between these two market characters, providing traders with an objective view of volatility cycles.
Key Features
Volatility Cycle Logic: A refined implementation of the Choppiness Index that assists in filtering market noise during low-volatility periods.
Pivot-50 Visualization: A custom geometric layout that separates range contraction from trend expansion for faster visual interpretation.
Multi-Timeframe (MTF) Data Handling: Enables the monitoring of higher-timeframe efficiency cycles without switching charts.
Trend Context Filter: Integrates a 200-period EMA to provide a directional baseline relative to the current market state.
Real-Time Status Dashboard: A real-time data table providing a summary of current market efficiency and trend bias.
Signal Refinement: Includes optional smoothing (EMA/SMA/WMA) to reduce calculation "jitter" and provide clearer structural signals.
Inputs Overview
Choppiness Length: Sets the lookback period for the efficiency calculation (Default: 14).
Calculation Timeframe: Allows the user to select the source timeframe for the index data.
Smoothing Method: Users can choose between multiple moving average types to filter the raw index output.
Threshold Levels: Customizable Fibonacci-based levels (61.8 and 38.2) used to define the boundaries of "Choppy" and "Trending" environments.
EMA Filter: Toggle for the 200-period Exponential Moving Average used for directional bias.
How to Use
Context Identification: Observe the histogram’s position relative to the 50-pivot. Bars expanding upward toward the 61.8 level indicate the market is coiling/congested.
Trend Confirmation: Bars expanding downward toward the 38.2 level indicate the market is moving efficiently in a specific direction.
Bias Alignment: When the Trend Bias is Bullish and the state is Trending, price discovery is likely occurring to the upside. Conversely, a Bearish bias in a Trending state suggests efficient movement to the downside.
Risk Management: Rising choppiness levels often precede a period of trend exhaustion or reversal, signaling a potential time to reduce exposure.
How it Helps
This tool is designed to assist in objective decision-making by identifying the current "market character." By distinguishing between trending and non-trending environments, it helps traders select the appropriate strategy for the current context—avoiding trend-following entries during sideways markets and identifying when a market has entered a period of price expansion.
Alerts
Trend Starting: Triggers when the index crosses below the lower threshold, suggesting a transition into an efficient trend.
Squeeze/Consolidation: Notifies the user when the index crosses above the upper threshold, indicating range contraction.
Midpoint Cross: Signals when the index crosses the 50-level, marking a shift in market momentum.
⚠️ Disclaimer:
This script/indicator is not endorsed by, affiliated with, sponsored by, or connected to TradingView in any manner. The author is not a TradingView partner.
This script/indicator and all related content are provided “as is” and “as available,” without any warranties of any kind, express or implied. The content is strictly for educational and informational purposes and does not constitute financial, investment, trading, or legal advice.
The author makes no representations or guarantees regarding accuracy, reliability, profitability, or future performance. Use of this script/indicator is entirely at the user’s own risk, and the author assumes no liability for any losses, damages, or financial consequences arising from its use.
Volatility State Index [Interakktive]The Volatility State Index (VSI) classifies market volatility into three behavioral states: Expansion, Decay, and Transition. It answers one question visually: Is volatility supporting price movement, withdrawing, or unstable?
Unlike traditional volatility indicators that show levels or bands, VSI diagnoses the current volatility regime so traders can adapt their approach accordingly.
█ WHAT IT DOES
• Classifies volatility into three states: Expansion (teal), Decay (grey), Transition (amber)
• Measures volatility momentum as a percentage rate-of-change
• Applies stability filtering to detect unstable/choppy conditions
• Uses persistence logic to prevent state flickering
• Exports state data for use in alerts and strategies
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is diagnostic only)
• NO performance claims
This is a volatility diagnostic tool, not a trading system.
█ HOW IT WORKS
The VSI processes volatility through a five-stage pipeline:
STAGE 1 — Base Volatility
Calculates ATR as the foundation for volatility measurement.
STAGE 2 — Smoothing
Applies EMA smoothing to reduce noise in the volatility series.
STAGE 3 — Volatility Momentum
Computes the percentage rate-of-change of smoothed volatility:
Volatility Momentum (%) = ((Current ATR - Previous ATR) / Previous ATR) × 100
Positive values indicate expanding volatility; negative values indicate contracting volatility.
STAGE 4 — Stability Filter
Tracks how frequently volatility momentum changes direction. Frequent sign changes indicate unstable, choppy conditions.
Stability Score = 1 - (Average Flip Rate)
Low stability forces the Transition state regardless of momentum level.
STAGE 5 — State Classification
Combines momentum thresholds and stability to determine the final state:
• Expansion: Momentum ≥ +5% (default threshold)
• Decay: Momentum ≤ -5% (default threshold)
• Transition: Between thresholds OR low stability
A persistence filter requires states to hold for multiple bars before confirming, preventing visual noise.
█ INTERPRETATION
EXPANSION (Teal)
Volatility is increasing in a sustained way. Price moves are becoming larger.
What it suggests:
• Breakouts are more likely to follow through
• Stops may need wider placement
• Trend-following approaches tend to work better
• Mean-reversion weakens
DECAY (Grey)
Volatility is decreasing. Price is compressing into tighter ranges.
What it suggests:
• Breakouts are more likely to fail
• Ranges tend to hold
• Trend-following underperforms
• Mean-reversion strengthens
TRANSITION (Amber)
Volatility behavior is unclear or unstable. This is NOT neutral — it is uncertainty.
What it suggests:
• Mixed signals — one bar huge, next bar dead
• Higher whipsaw risk
• Reduced conviction in either direction
• Consider waiting for clarity
The key insight: Amber is a warning, not a middle ground. It appears when volatility cannot decide what it wants to do.
█ VISUAL DESIGN
The indicator uses a state-first histogram design:
• Histogram height shows volatility momentum percentage
• Histogram color shows the classified state
• Zero line provides visual anchor
• Optional momentum line for confirmation
• Optional background tint (default OFF for clean charts)
The visual hierarchy prioritizes instant state recognition. A trader should understand the volatility environment in under one second without reading numbers.
█ INPUTS
Core Settings
• ATR Length: Base volatility measurement period (default: 14)
• Smoothing Length: EMA smoothing applied to ATR (default: 10)
• Momentum Length: Rate-of-change lookback (default: 10)
State Classification
• Expansion Threshold (%): Momentum above this = Expansion (default: 5.0)
• Decay Threshold (%): Momentum below this = Decay (default: -5.0)
• Persistence Bars: Bars required to confirm state change (default: 3)
• Stability Lookback: Window for stability calculation (default: 20)
• Stability Threshold: Below this = forced Transition (default: 0.5)
Visual Settings
• Show State Histogram: Toggle main display (default: ON)
• Show Momentum Line: Thin confirmation line (default: OFF)
• Show Zero Line: Baseline reference (default: ON)
• Show Background Tint: Subtle state coloring (default: OFF)
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• ATR (Raw)
• ATR (Smoothed)
• Volatility Momentum (%)
• Stability Score (0-1)
• State (-1/0/1): Decay = -1, Transition = 0, Expansion = 1
• Is Expansion (0/1)
• Is Decay (0/1)
• Is Transition (0/1)
These exports allow VSI to be used as a filter in Pine Script strategies or alert conditions.
█ ORIGINALITY
While ATR and volatility indicators are common, VSI is original because it:
1. Classifies volatility into behavioral states rather than showing raw levels
2. Applies momentum analysis to volatility itself (rate-of-change of ATR)
3. Uses stability filtering to detect genuinely unstable conditions
4. Implements persistence logic to prevent state flickering
5. Provides a state-first visual design optimized for instant recognition
VSI is state-first: it classifies volatility regimes (Expansion/Decay/Transition) rather than plotting volatility level alone, using momentum and stability to reduce false regime reads.
This is not a modified ATR or Bollinger Band — it is a volatility regime classifier.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes — state classification adapts accordingly
Best on: Instruments with consistent volatility patterns
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Effort-Result Divergence — compares volume effort to price result
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
Candle Strength Analyzer by The Ultimate Bull Run🎯 WHAT IT MEASURES
The score combines 4 key factors:
1️⃣ BODY RATIO (30%)
How much of the candle is "body" vs "wicks"
• 90%+ = Marubozu (very strong)
• 70%+ = Strong
• <30% = Weak/Indecision
2️⃣ CLOSE POSITION (25%)
Where the candle closed within its range
• Bullish closing near high = Strong
• Bearish closing near low = Strong
• Closing in middle = Weak
3️⃣ RELATIVE VOLUME - RVOL (25%)
Current volume compared to average
• RVOL 2.0+ = Very high activity
• RVOL 1.5+ = High (confirmed move)
• RVOL <0.7 = Low (unconfirmed)
4️⃣ SIZE vs ATR (20%)
Candle size compared to typical volatility
• 2x ATR = Large, significant
• 1x ATR = Normal
• 0.5x ATR = Small, insignificant
Phantom Trend Filter [BOSWaves]Phantom Trend Filter - Volatility-Gated Trend Mapping with Fake Move Suppression
Overview
Phantom Trend Filter is a market-state and trend-validation framework designed to help traders distinguish between directional opportunity and structural noise. Rather than attempting to predict price or generate constant entry signals, Phantom focuses on identifying when trend information is reliable and when it should be ignored.
Most indicators attempt to remain active at all times. Phantom does the opposite. It is built around the idea that markets frequently enter conditions where directional interpretation is misleading - whether through consolidation, volatility expansion, artificial momentum bursts, or weak underlying trend participation. In these phases, acting on trend information often leads to poor trade quality. Phantom is designed to recognize these environments and deliberately suppress bias during them.
The result is an indicator that spends a meaningful amount of time telling the trader not to trade.
Conceptual Alignment and Regime Philosophy
Phantom operates on a regime-aware philosophy similar to advanced volatility frameworks: markets transition through identifiable states, and not all states are suitable for directional interpretation.
Rather than measuring opportunity by price movement alone, Phantom evaluates whether participation, volatility behavior, and directional imbalance are aligned. When these elements diverge, trend interpretation becomes statistically fragile. Phantom reframes trend analysis away from constant engagement and toward conditional relevance. It does not ask where price is likely to go, but whether directional reasoning is currently justified at all.
Structural Trend Framework
At its core, Phantom Trend Filter employs a low-lag filtering mechanism designed to model price behavior across two distinct temporal sensitivities. One component responds rapidly to immediate price pressure, while the other captures broader directional context. Together, they form an adaptive structure that tracks price fluidly without relying on fixed bands, static smoothing, or conventional averaging assumptions.
Rather than treating these components as isolated signals, Phantom interprets their interaction as a cohesive trend framework. The space between them defines an active zone where price engagement conveys information about market participation, continuation strength, or emerging exhaustion. A dynamically calculated balance reference within this structure reflects the equilibrium between short-term pressure and higher-order directional force.
Trend direction is derived strictly from relative structural positioning, not exaggerated slope changes or reactive trigger events. This design minimizes over-responsiveness and maintains structural integrity during consolidation phases, avoiding the constant recalibration common in traditional trend tools.
Market State Awareness and Filtering Philosophy
Trend indicators often fail not because their logic is incorrect, but because they are applied indiscriminately across all market states. Phantom is built around the assumption that trend logic is only meaningful when certain conditions are met.
To address this, Phantom incorporates multiple independent measurements designed to assess whether current price movement represents genuine directional intent or transient distortion. These measurements do not attempt to forecast price; instead, they evaluate quality.
Volatility is assessed relative to historical baselines rather than absolute expansion. Momentum is normalized to avoid reacting to short-lived impulses. Trend strength is evaluated through directional imbalance rather than price slope alone. Price behavior is examined for whipsaw characteristics, where range expansion lacks follow-through. Consolidation is detected when price variance collapses relative to recent volatility.
Each of these components serves a single purpose: to decide whether trend interpretation should be trusted.
State-Based Regime Transitions
Phantom internally classifies market behavior into functional states rather than continuous gradients. These states are expressed visually through color, structure, and suppression rather than explicit labels.
A validated trend state emerges only when structural alignment, normalized volatility behavior, and directional imbalance agree. In contrast, when destabilizing forces dominate — such as volatility distortion, weak participation, compression, or whipsaw behavior - Phantom enters a suppressed state and removes directional bias entirely.
Transitions between these states are deliberately conservative. Phantom requires stabilization before re-enabling trend interpretation, preventing rapid flip-flopping during unstable market phases.
Fake Move Identification
When one or more destabilizing conditions are detected, Phantom classifies the environment as unreliable. These situations often correspond to what traders colloquially refer to as fake pumps, fake dumps, stop hunts, or algorithmic noise - though Phantom does not rely on labels or narrative.
In these states, Phantom intentionally removes directional bias. The indicator does not attempt to guess the eventual outcome of the move. Instead, it signals that any directional interpretation at that moment is statistically weaker.
This design choice is intentional and conservative. Phantom prioritizes capital protection and decision clarity over constant engagement.
Relationship to Volatility and Participation
Although Phantom is not a volatility oscillator, volatility behavior plays a critical contextual role in its filtering logic.
Rather than reacting to absolute volatility expansion, Phantom evaluates volatility relative to recent structural norms and directional participation. Elevated volatility without directional imbalance is treated as noise. Directional imbalance without supportive volatility structure is treated as fragile. This allows Phantom to suppress visually convincing but structurally weak moves - the type most commonly responsible for overtrading and stop-outs.
Visual Communication and Interpretation
Phantom communicates market state primarily through color and structure rather than symbols, markers, or signal arrows. This is a deliberate design decision aimed at reducing cognitive load.
When conditions validate a bullish environment, the Phantom structure and candles adopt a bullish color (green). When bearish conditions are validated, the structure reflects that state, adopting a bearish color (red). When filtering conditions dominate, the indicator shifts into a neutral gray state across bands, fills, and candles.
Gray is not indecision — it is information. It communicates that the system’s internal conditions do not support directional conviction. Traders are expected to interpret this as a stand-aside environment or as a warning against aggressive execution.
Adaptive Behavior and Trading Styles
Phantom offers two operational modes that adjust its sensitivity without altering its underlying philosophy. A faster mode responds more quickly to changes in price structure and is more suitable for lower timeframes or scalping environments. A slower mode increases stability, favoring higher timeframes and swing-based decision-making.
Importantly, neither mode attempts to optimize for signal frequency. Both prioritize environment validation first and directional interpretation second.
Use Cases
Use Case 1: Trend Participation With Built-In Noise Suppression
Phantom Trend Filter is designed for traders who want directional exposure without getting chopped to death. The adaptive trend structure highlights when price is being accepted within a dominant directional regime, while automatically muting conditions associated with weak participation, consolidation, or engineered volatility.
When the Phantom zone is colored and stable, it signals that price is operating within a structurally supported trend environment. When the zone turns neutral, it’s not indecision — it’s a warning that directional assumptions are statistically weak and capital should be protected. This makes Phantom especially effective as a trend permission filter rather than a trigger generator.
Use Case 2: Fake Pump / Dump Avoidance in High-Volatility Markets
In fast-moving or thin-liquidity conditions, Phantom excels at identifying structurally invalid moves - sharp expansions driven by volatility spikes, momentum bursts, or whipsaw price behavior that lack trend integrity. Instead of chasing candles, traders can use Phantom’s neutral state to stand aside during manipulated or exhaustion-driven moves, then re-engage only when price behavior realigns with sustained directional pressure.
Alerts and Practical Integration
Alerts within Phantom are intentionally conservative. Directional alerts only trigger when trend conditions are met and filtering logic is inactive. This ensures alerts correspond to structurally valid environments rather than transient fluctuations.
An additional alert notifies the user when Phantom detects unreliable conditions. This is not an entry or exit signal, but a contextual warning that trend-based logic may be compromised.
Phantom is best used as a filtering and confirmation layer rather than a standalone strategy. It pairs naturally with execution-based systems, structure tools, or discretionary price action approaches that benefit from knowing when trend bias is valid.
Design Intent and Limitations
Phantom Trend Filter is not designed to call tops or bottoms. It is not optimized for maximum trade frequency. It will intentionally keep traders out of the market during extended periods of uncertainty.
This is not a flaw. It reflects a design philosophy centered on reducing poor-quality decisions rather than maximizing engagement.
Traders who expect constant activity will find Phantom restrictive. Traders who prioritize clarity, patience, and structural alignment will find it useful.
What Phantom Is Not
Phantom is not a signal generator. It is not a predictive model. It is not designed to extract profit from every phase of the market.
Its value emerges through omission - by identifying when trend logic should not be applied.
Integration With Execution and Structure Tools
Phantom is most effective when paired with tools that answer how to execute rather than whether to engage. In this role, Phantom acts as a gating mechanism, conditioning execution logic rather than replacing it.
Operational Expectations
Phantom will spend extended periods in a neutral state. This behavior is intentional.
Markets spend more time transitioning, compressing, and distorting than trending cleanly. Phantom reflects this reality rather than obscuring it.
Final Notes
No indicator removes risk. No filter eliminates losses. Phantom does not attempt to outperform the market; it attempts to improve the conditions under which decisions are made.
Used correctly, it helps traders trade less - but trade better.
Risk Disclaimer
Phantom Trend Filter is a professional-grade trend-regime and volatility-filtering tool provided for educational and informational purposes only and does not constitute financial advice. It does not predict future price movement and does not guarantee profitability. Trading involves significant risk, and past performance is not indicative of future results. Performance depends on market conditions, parameter selection, disciplined execution, and proper risk management. Users are solely responsible for their own analysis, risk controls, and execution decisions.
FairValueGap [Tradeuminati]Tradeuminati – (i)FVG is a free Fair Value Gap indicator for TradingView, built on a precise 3-candle structure and extended with Inverted Fair Value Gaps (iFVG) and an optional structure-based trend overview.
The indicator focuses exclusively on confirmed market structure, avoiding repainting and intrabar signals.
🔹 Features Overview
Fair Value Gaps (FVG)
- Detection of bullish and bearish Fair Value Gaps using a 3-candle formation
- FVGs are only displayed after the confirming candle has closed
- A Fair Value Gap remains valid until it is invalidated by a candle close
- Fully customizable colors, labels, and right-side extension
Fair Value Gaps (FVG)
- Detection of bullish and bearish Fair Value Gaps using a 3-candle formation
- FVGs are only displayed after the confirming candle has closed
- A Fair Value Gap remains valid until it is invalidated by a candle close
- Fully customizable colors, labels, and right-side extension
Trend Detection (Optional)
- Structure-based trend analysis on the 15-minute and 1-hour timeframes
- Trend is defined using Swing Highs and Swing Lows:
--> Higher Highs + Higher Lows → Uptrend
--> Lower Highs + Lower Lows → Downtrend
- Swing definition: center candle with X candles to the left and right (default: 1, fully adjustable)
- Trend is displayed in a compact trend table in the top-right corner
- Visual trend representation:
▲ Green = Uptrend
▼ Red = Downtrend
– Neutral / not yet confirmed
- Trend table can be enabled or disabled via settings
🔹 Technical Characteristics
- No repainting
- No intrabar signals
- Only confirmed candle closes are used
- Works on all markets and all timeframes
- Lightweight and performance-friendly
🔹 Use Case
This indicator is designed for traders who work with Price Action, Smart Money Concepts, market structure, or liquidity-based trading models, and who require a clear and reliable visualization of Fair Value Gaps and market trend.
⚠️ Disclaimer
This indicator does not provide trading or investment advice.
It is intended solely for technical chart analysis and decision support.
JMA Cluster Entries with Market Structure [WavesUnchained]JMA Cluster Entries with Market Structure
Overview
JMA Cluster Entries with Market Structure combines multi-timeframe JMA (Jurik Moving Average) cluster analysis with advanced market structure detection (Wyckoff methodology, Smart Money Concepts) to identify high-probability momentum and structure-based entries. The indicator provides multi-layered signal validation for comprehensive market analysis.
Key Features
JMA Cluster Analysis
• 10 Adaptive Moving Averages (20, 50, 100, 150, 200, 250, 300, 400, 500, 600 periods)
• JMA technology provides smooth, responsive trend detection with minimal lag
• Cluster scoring system (0-100%) measures trend alignment strength
• Optional visualization - lines can be hidden for clean charts
Wyckoff Market Structure Detection
• Selling Climax (SC) : High-volume panic selling at support (bullish reversal)
• Spring : False breakdown below support with reversal (bullish continuation)
• Buying Climax (BC) : High-volume buying exhaustion at resistance (bearish reversal)
• Upthrust (UT) : False breakout above resistance with rejection (bearish continuation)
• Timeframe-optimized lookback periods : Automatically adjusts pivot detection window based on chart timeframe (15M/1H/4H/Daily/Weekly)
• Dual-mode pivots: Entry signals use live-ready detection; visualization can use historical-perfect mode for clean charts
Multi-Signal Entry Engine
Three independent signal classes with quality tiers:
1. MOMENTUM (M) : Cluster flip + slope confirmation + ATR filter
2. EXHAUSTION (E) : Mean reversion at statistical extremes + volume surge
3. STRUCTURE (S) : Wyckoff patterns + Smart Money confluence + absorption detection
Each signal includes quality rating (50-100%) and cooldown management to prevent overtrading.
Smart Money Concepts (Optional)
• Order Blocks (OB) : Last candle before strong impulsive moves
• Fair Value Gaps (FVG) : Price imbalances / liquidity voids
• Breaker Blocks : Failed order blocks that flip polarity
• Configurable lookback and visualization
Comprehensive Visualization
• Signal Labels : Color-coded entry markers (green/red) with quality indicators
• Pivot Markers : Optional swing high/low visualization with S/R boxes
• ZigZag Lines : Connect confirmed major pivots for structure clarity (visual reference only, not used for entry signals)
• Retest Signals : Alerts when price revisits key S/R levels
• Statistical Bands : Deviation zones for mean reversion trading
• Wyckoff Annotations : Event labels, S/R lines, trading range boxes, phase indicators
Note: Wyckoff entry signals use independent live-ready pivot detection for immediate confirmation, while ZigZag pivots provide delayed but precise swing structure for visual reference and post-trade analysis.
Advanced Configuration
• Trend Filters : Minimum slope, score jump, ATR distance filters
• Signal Cooldown : Prevent entry spam with configurable bar spacing
• Pivot Reset Options : Control cooldown behavior on new pivots
• Detection Profiles : Conservative / Balanced / Sensitive presets for Wyckoff
• Oscillator Filters : Optional RSI/WaveTrend confirmation for pivots
TradingView Alerts
• "Entry Long" : Fires on high-quality bullish entry signals (Trend mode)
• "Entry Short" : Fires on high-quality bearish entry signals (Trend mode)
• "Alert Long" : Early warning for potential bullish setups (pre-entry confirmation)
• "Alert Short" : Early warning for potential bearish setups (pre-entry confirmation)
• Compatible with alert automation and webhooks
Trading Modes
Trend Mode (Default)
• Combines all signal types for comprehensive trend following
• Entry signals: High-quality entries after confirmation
• Alert signals: Early warnings before full entry conditions met
• Includes Wyckoff structure detection and cluster alignment
Reversion Mode
• Mean reversion trading at statistical extremes
• Requires price at 2σ+ deviation bands
• Volume surge confirmation
• Return to mean zone triggers entries
Recommended Settings by Timeframe
15M - Intraday Scalping
• Pivot Lookback: 20 (5-10 hour window)
• Signal Cooldown: 10-20 bars
• Best for quick reversals and structure breaks
1H - Day Trading
• Pivot Lookback: 30 (1.25 day window)
• Signal Cooldown: 15-25 bars
• Highest volume quality (avg 2.3x RelVol)
4H - Swing Trading (Optimal)
• Pivot Lookback: 30 (5 day window)
• Signal Cooldown: 20-30 bars
• 6.2% event rate, proven performance
• Recommended for most traders
Daily - Position Trading
• Pivot Lookback: 10 (20 day window)
• Signal Cooldown: 5-10 bars
• Ultra-conservative, major structures only
How to Use
1. Enable JMA Lines initially to understand cluster behavior
2. Watch for Signal Labels : Green (Long), Red (Short)
3. Check Signal Quality : Labels show M/E/S class and 50-100% rating
4. Confirm with Wyckoff : SC/Spring for longs, BC/UT for shorts
5. Set TradingView Alerts : Use "Signal Long" and "Signal Short" alerts
6. Optional : Enable S/R boxes and pivot markers for structure context
Input Groups
• Basic Settings: Source, JMA phase/power, mode selection
• Logging: Enable CSV logs for backtesting analysis
• Cluster Scoring: Threshold and calculation settings
• Trend Filters: Slope, score jump, ATR, cooldown management
• Reversion Settings: Extreme/return thresholds, deviation bands
• Pivot Detection: Lookback, size filters, oscillator confirmation
• Wyckoff Settings: Profile selection, lookback per timeframe, visualization
• Smart Money: Order blocks, FVG, breaker block settings
• JMA Configuration: Enable/disable individual moving averages
Performance Notes
• 4H Timeframe : 145 Wyckoff events (6.16% rate), 78.7% win rate in backtests
• 1H Timeframe : 84 events (1.86% rate), 2.33x average RelVol
• 15M Timeframe : 83 events (1.87% rate), balanced event distribution
• Daily Timeframe : 7 events (1.54% rate), ultra-selective
Educational Value
This indicator demonstrates:
• Integration of classical Wyckoff methodology with modern technical analysis
• Multi-timeframe consensus building for signal validation
• Smart Money Concepts and institutional order flow analysis
• Statistical mean reversion combined with momentum/structure
• Modular code architecture for maintainability
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always practice proper risk management and test strategies thoroughly before live trading. Past performance does not guarantee future results.
Credits
• Jurik Moving Average (JMA) : Adapted from Everget's implementation
• Wyckoff Methodology : Based on Richard Wyckoff's market analysis principles
• Smart Money Concepts : Inspired by institutional trading concepts
• Developed by : WavesUnchained
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Version : 2.1.0
Pine Script : v6
Compatibility : TradingView Free/Pro/Premium
SuperTrend Weighted by Divergence█ OVERVIEW
SuperTrend Weighted by Divergence is a trend-following indicator based on the classic SuperTrend, enhanced with dynamic ATR weighting driven by divergences. Its key feature is adaptive behavior: when a divergence appears, the indicator temporarily reduces the ATR multiplier, allowing the trend line to react faster to potential market reversals.
The indicator remains clean, visually clear, and well suited for traders who want to combine trend-following with early detection of weakening momentum.
█ CONCEPT
One of the biggest drawbacks of trend indicators is their lagging nature, caused by the characteristics of source data. Classic SuperTrends react only after the trend has already developed, which often leads to late entries or exits.
The idea behind SuperTrend Weighted by Divergence is to introduce dynamic adjustment of the trend line in response to the first signs of trend weakening.
Instead of treating ATR as a constant volatility buffer, the indicator temporarily modifies its impact when the market sends warning signals in the form of price–oscillator divergences.
For divergence detection, a hidden auxiliary oscillator called “MPO4 Lines – Modal Engine” (default settings) is used. This oscillator is not displayed on the chart – only the points where divergences are detected are shown as markers on price bars.
Divergences do not generate direct entry signals; they are used solely to temporarily adjust the behavior of the SuperTrend.
If, after detecting a divergence against the current trend, a divergence in line with the trend appears, the previous divergence is invalidated and the SuperTrend returns to its standard behavior (base ATR multiplier).
█ FEATURES
Data sources:
- ATR (Average True Range)
- Reference point: HL2 (high/low average)
- MPO4 Lines – Modal Engine oscillator (hidden, used only for divergence detection)
Divergence logic:
- Bullish divergence: lower low in price + higher low in the oscillator
- Bearish divergence: higher high in price + lower high in the oscillator
- Divergences are detected using pivots (left/right)
- Divergence detection is delayed by the pivot length, as confirmation requires a fixed number of bars on the right side
Divergence impact:
- After a divergence is detected, the ATR multiplier is reduced
- The reduction strength is controlled by Divergence Sensitivity
- The effect is active only for a limited number of bars – 200 bars by default (divBars)
- The effect is canceled on trend change or when a trend-aligned divergence appears
Trend change logic:
- Trend changes only after a confirmed close beyond the trailing line
- No repainting
- Trend lines break at reversal points
Visual signals:
- “Buy” and “Sell” labels only on confirmed trend changes
- Optional bar coloring based on current trend (Color bars by trend)
- Soft fill between price and the trend line
- Divergence markers (dots above/below bars) shown at the point of divergence detection, not across the entire divergence structure
Alerts:
- Buy Signal – trend change to bullish
- Sell Signal – trend change to bearish
- Bullish Divergence
- Bearish Divergence
█ HOW TO USE
Adding the indicator:
Paste the code into Pine Editor or search for “SuperTrend Weighted by Divergence” on TradingView
Main settings:
- ATR Length – ATR period
- Base ATR Multiplier – base SuperTrend width
- Pivot Length – divergence sensitivity and detection delay
- Divergence Sensitivity – strength of divergence impact (0.0–1.0)
- Color bars by trend – enable / disable bar coloring
- Line and fill colors – fully customizable
Interpretation:
- Green line and bars = uptrend
- Red line and bars = downtrend
- Divergence against the trend = possible weakening and faster SuperTrend reaction
- Trend-aligned divergence = return to standard SuperTrend behavior
- No divergence = classic, stable SuperTrend behavior
█ APPLICATIONS
Ideal for:
- Trend-following
Entering positions only in the direction of the current trend, using the SuperTrend as a directional filter.
- Early detection of trend weakness
Repeated divergences against the trend may indicate decreasing momentum and a potential upcoming reversal.
- Markets with variable dynamics (crypto, indices, forex)
Entries based on trend changes, preferably confirmed by other tools such as Fibonacci levels, RSI, support/resistance, or market structure.
- Scalping, day trading, and swing trading (with parameter adjustments)
Increasing Divergence Sensitivity to around 0.4–0.5 produces many more signals on small, often short-lived moves.
These settings work well for scalping and day trading, but are not ideal for swing trading, as they tend to generate more false signals and frequent trend changes.
█ NOTES
- Works on all markets and timeframes
- Divergences are used to adapt SuperTrend behavior, not as standalone entry signals
- Higher Divergence Sensitivity = faster reaction and more signals
- Lower Divergence Sensitivity = smoother trend and fewer changes
- Best results are achieved by tuning parameters to the instrument and trading style
FatihStrategy: Universal Pivot System v3.3.1FatihStrategy: Universal Pivot System v3.3.1 is an advanced technical analysis indicator that combines multi-timeframe pivot averages with EMA trend filters in a single visual system.
🔹 How It Works
Depending on the selected pivot mode, the indicator calculates and visualizes:
Daily & 3-Day Average Pivots
Weekly & 3-Week Average Pivots
Monthly & 3-Month Average Pivots
Yearly & 3-Year Average Pivots
The difference between pivot levels is displayed as colored boxes:
Red Box → Lower timeframe pivot zone
Yellow Box → Higher timeframe pivot zone
These zones help identify potential support, resistance, and consolidation areas.
🔹 EMA Trend Support
Optional exponential moving averages:
20 EMA
50 EMA
200 EMA
can be enabled to assist with trend direction and trade filtering.
🔹 Suitable For
Day traders and swing traders
Pivot-based strategies
Traders looking for clear visual support/resistance zones
Crypto, forex, and stock market analysis
⚠️ Disclaimer
This indicator is not financial advice.
Always use proper risk management and confirm signals with your own trading strategy.
Daily/Weekly Swing Highs-Lows + Candle PatternsDescription
Daily/Weekly Swing Highs-Lows + Candle Patterns
This indicator plots the most recent Daily and Weekly Swing Highs and Lows (key support/resistance levels) using a simple and effective logic: a swing high/low is confirmed when the previous bar's extreme is higher/lower than both the current and the one before it.
Features:
• Daily Swing Highs/Lows (teal/maroon circles) – toggleable
• Weekly Swing Highs/Lows (blue/purple circles) – optional
• Visual separators for new daily and weekly bars (light background color)
• Daily candle pattern labels (optional):
- US = Up Swing (strong bullish continuation)
- DS = Down Swing (strong bearish continuation)
- IN = Inside Bar
- OUT = Outside Bar
• Daily close position labels (optional):
- P = Positive (close in upper 25% of the range)
- mP = minor Positive (50–75%)
- mN = minor Negative (25–50%)
- N = Negative (lower 25%)
All elements are fully customizable (colors, visibility) and work on any timeframe.
Best suited for intraday timeframes (1 min to 4 hours) where daily and weekly key levels provide important context for price action and reversals.
The optional "Trading session length" input is mainly useful for markets with shorter sessions (e.g., European indices) and does not affect swing detection.
Open-source, free to use and modify.
How to Use the Indicator + Practical Use Case
Key Settings (Inputs)
Trading session length (hours) → Default 8.5 h (useful for FTSEMIB, DAX, etc.). Leave it as is unless you trade a market with a different session length.
Daily Swing Levels → Show/Hide daily swing highs (teal) and lows (maroon).
Weekly Swing Levels → Usually keep off on intraday charts to avoid clutter (turn on for higher-timeframe context).
Daily Candle Patterns → Enable only if you want to see US/DS/IN/OUT labels on the daily close.
Close Position (P/mP/mN/N) → Enable if you want to quickly see how strong/weak the daily close was.
What You See on the Chart
Teal circles = Last confirmed daily swing high (resistance).
Maroon circles = Last confirmed daily swing low (support).
Blue/purple circles (if enabled) = Weekly swing high/low.
Light gray background = Start of a new trading day.
Purple background (if weekly enabled) = Start of a new week.
Small labels on daily close (if enabled):
- US = strong bullish day
- DS = strong bearish day
- IN = inside bar (consolidation)
- OUT = outside bar (expansion)
- P/mP/mN/N = how far the close was from the high/low of the day.
Best Timeframes 1 min to 240 min charts → Daily levels act as major support/resistance zones for intraday trading.
Avoid using on daily or higher charts (the logic is designed for intraday context).
Why this works well intraday:
The daily swing high/low levels are high-probability zones where institutions and algorithms often defend positions. On intraday charts, they act as “magnets” for price, giving you clean entries and exits with clear invalidation levels.
This indicator keeps your chart clean while providing exactly the context most intraday traders need: key daily levels + daily momentum context.
KINETIC GOLD NQ Velocity Breakout [Ash_TheTrader]
🚀 Stop Guessing. Start Scalping with Physics.
Introducing the KINETIC GOLD NQ ⚡ VELOCITY BREAKOUT System
Author: Ash_TheTrader
Assets: Gold (XAUUSD), Nasdaq (US100), Bitcoin (BTC)
Style: High-Frequency Scalping (M1/M5)
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🛑 The Problem: Why Most Indicators Fail
You’ve been there. The RSI says "Oversold," so you buy. But price keeps crashing. The Moving Average crosses over, so you enter. But the trend is already over.
Why? Because those indicators are lagging . They tell you what happened 10 candles ago.
⚡ The Solution: The "Physics" of Price
Markets move like objects in the real world. They have Velocity (Speed) and Momentum (Mass).
The Kinetic Velocity Breakout (KMB) system doesn't look at "Overbought" or "Oversold." It looks for FORCE .
It answers one simple question: Is the market moving fast enough to pay me?
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🧠 The 4 "Smart Logic" Features
1. The Velocity Speedometer 🏎️
Most candles are "noise." This system ignores them. It uses a Normalized Volatility Engine to detect when price hits "WARP SPEED".
• Blue: Slow (Cruising). Don't touch.
• Yellow: Accelerating. Get ready.
• Red: WARP SPEED. Institutional money is entering.
2. The 1.5x Impulse Rule 💥
The algorithm strictly enforces the "1.5x Law." A signal ONLY fires if the breakout candle is 1.5 times larger than the average of the last 3 candles.
• Result? No more fakeouts. We only trade real expansions.
3. "Smart Mode" AI Dashboard 🖥️
A heads-up display (HUD) lives on your chart, auto-detecting your trading environment:
• Auto-Session: Tells you if you are in London, New York, or Asia.
• Risk Mode: Shows if you are using "Aggressive" or "Normal" logic.
• Status: Gives you a text readout like "READY ⚡" or "WAIT..."
4. Auto-Pilot Risk Management 🛡️
Scalping is fast. You don't have time to calculate Pips.
• The script draws the lines for you.
• As soon as a "ROCKET" signal appears, a Green TP Line (2x Reward) and Red SL Line appear instantly.
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🎮 How to Trade: The 3-Step "Kinetic" Strategy
This strategy is designed for Gold (XAUUSD) and Nasdaq (US100) on the 5-Minute Timeframe .
Step 1: The "Yellow" Warning ⚠️
Watch the Smart Structure Lines (Dashed Lines).
• If the candles turn Yellow or the Dashboard says "FAST" , wake up.
• This means pressure is building against a key level.
Step 2: The "Warp" Trigger 🚀
Wait for a Confirmed Breakout . You are looking for:
1. A candle closes OUTSIDE the dashed structure line.
2. The candle color is NEON CYAN (Bullish) or NEON MAGENTA (Bearish).
3. The Signal Label appears: "ROCKET" (Buy) or "DROP" (Sell).
👉 Rule: No Label? No Trade. The 1.5x Logic saves you from bad trades.
Step 3: The Execution 💰
1. Enter at the close of the signal candle.
2. Stop Loss: Place it exactly on the Red Line provided by the indicator.
3. Take Profit: Place it on the Green Line .
4. Walk away. Let the physics work.
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⚙️ Customizing Your Style
The script comes with two built-in "Personalities":
🛡️ Normal Scalper (Default)
• Best for: New traders, Funded Accounts.
• Logic: Waits for strong confirmation. High Win Rate.
• Risk: 1:2 Risk/Reward.
⚠️ QuickScalper (Aggressive)
• Best for: Gold M1, Volatility Hunters.
• Logic: Enters earlier on 1.2x Impulse. More signals, faster exits.
• Risk: 1:1.5 Risk/Reward (Grab the cash and go).
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👇 Get the Code
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"Markets are physics. Trade the Velocity, not the noise." — @Ash_TheTrader
BTC - AXIS: Coppock + Williams %R CompositeTitle: BTC - AXIS: Coppock + Williams %R Composite | RM
Overview & Philosophy
AXIS (Advanced X-Momentum Intensity Score) is a specialized momentum composite designed to identify market structural shifts. In physics, an axis is the central line around which a body rotates; in this indicator, the Zero-Baseline acts as the AXIS for capital flow.
By fusing a slow-moving momentum engine ( Coppock Curve ) with a high-sensitivity tactical oscillator ( Williams %R ), this tool filters out the "market noise" that leads to overtrading and focuses on the high-conviction "Trend-Aligned Dips."
Methodology
Most indicators either suffer from too much lag (Moving Averages) or too much noise (Standard RSI). AXIS solves this through "Speed-Balanced Normalization."
1. Macro Engine (Coppock Curve): Named after Edwin Coppock, this component identifies major market bottoms by smoothing two separate Rates of Change (RoC). It is your structural compass.
2. Tactical Trigger (Williams %R): Created by Larry Williams, this measures the current close relative to the High-Low range.
• Re-centered Logic: Standard Williams %R oscillates between 0 and -100. Here, this is re-centered to oscillate around zero, ensuring it interacts mathematically correctly with the Coppock baseline.
3. The AXIS Score: The Composite line (Orange) is the weighted sum of these two engines. It provides a singular view of the market's "Net Momentum Intensity."
How to Read the Chart
🟧 The AXIS Composite (Orange Line): The primary signal line. It tracks the speed and exhaustion of the price by fusing macro and tactical data.
• Red Zone (> 150): Overheated. Short and long-term momentum are at extreme highs. Risk of a blow-off top or local reversal is high.
• Green Zone (< -150): Capitulation. The market is statistically exhausted. Historically, these zones represent high-conviction accumulation areas.
• Bullish Momentum (> 0): The market is rotating above the central Axis. Buyers are in control of the trend.
• Bearish Momentum (< 0): The market is rotating below the central Axis. Sellers are in control of the trend.
🟦 The Coppock Line (Blue): The macro filter. When Blue is above 0, the long-term trend is up.
🟥 The Williams %R Line (Red): The short-term cycles. Watch for divergences here to spot early trend fatigue.
Strategy: The "AXIS Alignment" Signal
The highest-conviction entry point—and the primary "Alpha" of this tool—occurs when:
The macro trend is Bullish ( Blue Line > 0 ).
The market experiences a correction, pushing the Orange (AXIS) Line into the Green Capitulation Zone.
The AXIS Score turns back upward.
This indicates that a short-term panic has been absorbed by a long-term bull trend—the ideal "Buy the Dip" scenario.
Settings
• Long/Short RoC: Standardized to 14/11 for cycle accuracy.
• Weighting: Allows you to prioritize trend (Coppock) or cycle sensitivity (%R).
• Visibility Toggles: Fully customizable display switches for each line.
Credits
• Edwin Coppock: For the foundation of long-term recovery momentum.
• Larry Williams: For the Percent Range methodology.
⚠️ Note: This indicator is optimized for the Daily (1D) Timeframe. Please switch your chart to 1D for accurate signal reading.
Disclaimer
This script is for research and educational purposes only. Past performance does not guarantee future results.
Tags
bitcoin, btc, axis, momentum, oscillator, coppock, williams r, on-chain, valuation, cycle, Rob Maths
