Summit CloudThe Summit Cloud is a clean, high-performance trend indicator that visually shows market direction using dynamic color shading. Built on a dual EMA foundation, it identifies bullish and bearish momentum with smooth, adaptive cloud transitions. Green indicates bullish strength, red signals bearish pressure, and neutral tones highlight consolidation zones. With customizable colors and simple tuning options, the Summit Cloud pairs perfectly with the Summit Line to confirm major reversals and trend continuations, offering traders a powerful yet minimalist way to stay aligned with the market’s flow.
Zmienność
EM Range (VIX1D PrevClose • Close & Hi/Lo, N-Day View)What this indicator does
This study projects a one-day expected move (EM) from the CBOE:VIX1D using a simple 1-σ model with 252 trading days. It visualizes the possible intraday range from three anchors and also gives a T+1 forecast using today’s real-time VIX1D:
• PrevClose ±σ (solid) – a symmetric bracket around yesterday’s close.
• Low → Upper (dashed) – the upper bound implied from today’s low.
• High → Lower (dashed) – the lower bound implied from today’s high.
• NextDay (solid, optional) – tomorrow’s expected bracket built from the current price using today’s VIX1D (intraday it updates; after the daily close it freezes to the daily close).
All ranges are plotted in points, not percentages.
How it’s computed
Let σ = (VIX1D/100)/sqrt(252) * multiplier.
• PrevClose bands: prevClose * (1 ± σ) using yesterday’s VIX1D close.
• Low → Upper: todayLow * (1 + σ) using yesterday’s VIX1D close.
• High → Lower: todayHigh * (1 − σ) using yesterday’s VIX1D close.
• NextDay (T+1): currentPrice * (1 ± σ_today) where σ_today uses today’s VIX1D (real-time via 15m/30m/60m fallbacks; after session close it uses the daily close).
What you’ll see on the chart
• Two solid lines (PrevClose ±σ), two dashed lines (from Low/High).
• Optional blue solid lines for NextDay ±σ (toggle).
• Lines are per-day segments (not infinite). Yesterday’s dashed lines are carried into today for quick context; other lines do not carry across days.
• Colors are fully configurable; defaults use a deep, high-contrast palette tuned for dark backgrounds.
N-Day history (no over-extension)
Use “Show last N days” to display previous sessions. Historical lines are drawn only within their own day (clean separation of regimes).
Compact table (top-right by default)
The on-chart table shows concise, single-line rows:
• VIX1D−1: yesterday’s VIX1D close | ±EM (points) from PrevClose
• VIX1D (RT): today’s real-time VIX1D | ±EM (points) from current price
• Prev ±σ: numeric around PrevClose
• L → Upper: today’s low and its implied upper bound
• H → Lower: today’s high and its implied lower bound
• NextDay: tomorrow’s implied from current price
• >±σ: count of daily closes that finished outside PrevClose ±σ over the last N−1 completed days (with up/down breakdown)
Inputs & options
• VIX1D symbol: default CBOE:VIX1D.
• σ multiplier: default 1.0 (try 0.5 / 1.5 / 2.0 based on your risk model).
• Show last N days: how many sessions to render (incl. today).
• Show NextDay lines (blue): on/off toggle.
• Line width and color pickers for each band type.
• Table position: top/bottom, left/right.
Works on…
• Any instrument priced in points (stocks, ETFs, futures incl. ES).
• Any timeframe. For the T+1 forecast, the price anchor is real-time on intraday charts; on higher timeframes it uses an intraday proxy (60-minute) intraday and switches to the daily close after session end.
Notes & good practice
• VIX1D is an implied daily move proxy; it’s not a guarantee. Treat bands as probabilistic, not absolute barriers.
• The outside-±σ close count is a quick sanity check on how often price exceeds the one-day expectation—useful for regime awareness and sizing.
• If your market isn’t well-described by VIX1D (e.g., non-US hours or crypto), consider substituting a more relevant vol index.
Disclaimer: This tool is for research/education only and is not financial advice. Always manage risk.
Jurik Moving Average with Stair-StepJurik Moving Average with Stair-Step Filter — Precision Smoothing with Event-Driven Signal Filtering
📌 Version:
Built in Pine Script v6, leveraging the full JMA core with an added stair-step threshold filter for discrete, event-based signal generation.
📌 Overview:
This enhanced Jurik Moving Average (JMA) combines the low-lag smoothing algorithm with a custom stair-step logic layer that transforms continuous JMA output into state-based, noise-filtered movement.
While the traditional JMA provides ultra-smooth, adaptive trend detection, it still updates continuously with each price tick. The Stair-Step version introduces a quantized output — the JMA value remains unchanged until price moves by a user-defined amount (in ticks or absolute price units). The result is a “digital” trend line that updates only when meaningful change occurs, filtering out minor fluctuations and giving traders clearer, more actionable transitions.
📌 How It Works:
✅ Adaptive JMA Core: Dynamically adjusts smoothing to volatility for ultra-low lag.
✅ Stair-Step Logic: Holds the JMA value steady until the underlying line moves by a chosen threshold.
✅ Event-Driven Updates: Each “step” represents a statistically significant change in market direction.
✅ Tick / Price-Based Sensitivity: Tune the filter to the instrument’s volatility, spread, or cost structure.
This dual-layer system blends JMA’s continuous adaptability with discrete regime detection — turning a smooth line into a decision-ready trend model.
📌 How to Use:
🔹 Bias Detection: Each new step indicates a potential regime shift or breakout confirmation.
🔹 Noise Reduction: Ideal in choppy or range-bound markets where traditional MAs over-react.
🔹 Automated Systems: Use stair transitions as clean event triggers for entries, exits, or bias flips.
🔹 Scalping & Swing Trading: Thresholds can be sized by tick, ATR, or volatility to match timeframe and cost tolerance.
📌 Why This Version Is Unique:
This is not just another moving average — it’s a stateful JMA, adding event-driven decision logic to one of the market’s most precise filters.
🔹 Discretized Trend Mapping: Flat plateaus define stability; steps define momentum bursts.
🔹 Reduced Whipsaws: Only reacts when moves exceed statistical or cost thresholds.
🔹 Execution-Grade Precision: Perfect for algorithmic strategies needing fewer false flips.
📌 Example Use:
Combine with VWAP, ATR, or momentum oscillators to confirm bias shifts. In automated strategies, use stair flips as “go / stop” states to control position changes or trade size adjustments.
📌 Summary:
The Jurik Moving Average with Stair-Step Filter preserves JMA’s hallmark smoothness while delivering a structured, event-driven representation of market movement.
It’s precision smoothing — now with adaptive noise gating — designed for traders who demand clarity, stability, and algorithm-ready signal behavior.
📌 Disclaimer:
This indicator is not affiliated with or derived from any proprietary Jurik Research algorithms. It’s an independent implementation that applies similar adaptive-smoothing principles, extended with a stair-step filtering mechanism for discrete trend transitions.
Adaptive Vol Gauge [ParadoxAlgo]This is an overlay tool that measures and shows market ups and downs (volatility) based on daily high and low prices. It adjusts automatically to recent price changes and highlights calm or wild market periods. It colors the chart background and bars in shades of blue to cyan, with optional small labels for changes in market mood. Use it for info only—combine with your own analysis and risk controls. It's not a buy/sell signal or promise of results.Key FeaturesSmart Volatility Measure: Tracks price swings with a flexible time window that reacts to market speed.
Market Mood Detection: Spots high-energy (wild) or low-energy (calm) phases to help see shifts.
Visual Style: Uses smooth color fades on the background and bars—cyan for calm, deep blue for wild—to blend nicely on your chart.
Custom Options: Change settings like time periods, sensitivity, colors, and labels.
Chart Fit: Sits right on your main price chart without extra lines, keeping things clean.
How It WorksThe tool figures out volatility like this:Adjustment Factor:Looks at recent price ranges compared to longer ones.
Tweaks the time window (between 10-50 bars) based on how fast prices are moving.
Volatility Calc:Adds up logs of high/low ranges over the adjusted window.
Takes the square root for the final value.
Can scale it to yearly terms for easy comparison across chart timeframes.
Mood Check:Compares current volatility to its recent average and spread.
Flags "high" if above your set level, "low" if below.
Neutral in between.
This setup makes it quicker in busy markets and steadier in quiet ones.Settings You Can ChangeAdjust in the tool's menu:Base Time Window (default: 20): Starting point for calculations. Bigger numbers smooth things out but might miss quick changes.
Adjustment Strength (default: 0.5): How much it reacts to price speed. Low = steady; high = quick changes.
Yearly Scaling (default: on): Makes values comparable across short or long charts. Turn off for raw numbers.
Mood Sensitivity (default: 1.0): How strict for calling high/low moods. Low = more shifts; high = only big ones.
Show Labels (default: on): Adds tiny "High Vol" or "Low Vol" tags when moods change. They point up or down from bars.
Background Fade (default: 80): How see-through the color fill is (0 = invisible, 100 = solid).
Bar Fade (default: 50): How much color blends into your candles or bars (0 = none, 100 = full).
How to Read and Use ItColor Shifts:Background and bars fade based on mood strength:Cyan shades mean calm markets (good for steady, back-and-forth trades).
Deep blue shades mean wild markets (watch for big moves or turns).
Smooth changes show volatility building or easing.
Labels:"High Vol" (deep blue, from below bar): Start of wild phase.
"Low Vol" (cyan, from above bar): Start of calm phase.
Only shows at changes to avoid clutter. Use for timing strategy tweaks.
Trading Ideas:Mood-Based Plays: In wild phases (deep blue), try chase-momentum or breakout trades since swings are bigger. In calm phases (cyan), stick to bounce-back or range trades.
Risk Tips: Cut trade sizes in wild times to handle bigger losses. Use calm times for longer holds with close stops.
Chart Time Tips: Turn on yearly scaling for matching short and long views. Test settings on past data—loosen for quick trades (more alerts), tighten for longer ones (fewer, stronger).
Mix with Others: Add trend lines or averages—buy in calm up-moves, sell in wild down-moves. Check with volume or key levels too.
Special Cases: In big news events, it reacts faster. On slow assets, it might overstate swings—ease the adjustment strength.
Limits and TipsIt looks back at past data, so it trails real-time action and can't predict ahead.
Results differ by stock or timeframe—test on history first.
Colors and tags are just visuals; set your own alerts if needed.
Follows TradingView rules: No win promises, for learning only. Open for sharing; share thoughts in forums.
With this, you can spot market energy and tweak your trades smarter. Start on practice charts.
Bollinger Bands Squeeze📈 Bollinger Bands Squeeze
This indicator enhances traditional Bollinger Bands by integrating Keltner Channel layers to visualize market compression and volatility expansion — allowing traders to easily identify when a squeeze is building or releasing.
🔍 Overview
This is a refined version of the classic Bollinger Bands, designed to detect volatility squeezes using multiple Keltner Channel thresholds.
The script plots standard Bollinger Bands and dynamically colors the bands according to the degree of compression relative to the Keltner Channels.
⚙️ How It Works
Bollinger Bands are calculated from a selected moving average (SMA, EMA, SMMA, WMA, or VWMA) and standard deviation multiplier.
Keltner Channels are derived from ATR (True Range) using three sensitivity levels (1.0, 1.5, and 2.0× multipliers).
When Bollinger Bands contract inside a Keltner Channel, the script marks a squeeze state:
🟠 High Compression (Orange): Very tight volatility — expect breakout soon.
🔴 Mid Compression (Red): Moderate contraction — volatility is building.
⚫ Low Compression (Gray/Black): Early compression phase.
🧩 Inputs & Customization
Length : Period for both Bollinger and Keltner calculations.
Basis MA Type: Choose from SMA, EMA, SMMA (RMA), WMA, or VWMA.
StdDev Multiplier : Controls Bollinger Bandwidth.
Keltner Multipliers (1.0 / 1.5 / 2.0) : Adjust compression thresholds.
Offset : Shifts the bands visually on the chart.
🕹️ Best Use Cases
Identify pre-breakout conditions before volatility expansion.
Combine with volume, momentum, or trend indicators (e.g., RSI) for confirmation.
Ideal for scalping, breakout trading, or volatility-based entries during session opens.
Pure Liquidity System (PLS) Robert-PRPure Liquidity System (PLS) Robert-PR
The PLS indicator is a comprehensive, advanced tool for tracking institutional liquidity across financial markets. It features:
Custom Day Ranges (6pm-6pm): Visualize daily ranges, midlines, and previous high/low levels with customizable tags and horizontal rays, helping you identify key price zones efficiently.
ICT Killzones: Automatically plots Asia, London, and New York (AM, Lunch, PM) sessions, highlighting peak volatility hours. Session pivots, labels, and middle lines offer fast context for intraday strategies.
Equal Highs/Lows Detection: Instantly marks significant equal highs and lows (double tops/bottoms) on any timeframe, making it easy to track liquidity pools and potential reversal points.
Fair Value Gaps (FVGs): Accurately detects and labels bullish/bearish fair value gaps, including gap size, mitigation status, and an optional consequent encroachment line for further analysis.
New York Session Markers: Quickly adds vertical lines for two critical NY session times (9:30 and 11:00 ET), perfect for time-based setups and correlation analysis.
Interactive Checklist & Timer: An intuitive panel for creating and marking off trading routines, complemented by a candle-close countdown timer to keep you focused and disciplined.
All core features are fully adjustable via the quick-access panel—enable or disable boxes, lines, labels, and levels with one click to match your workflow and visual preferences.
Perfect for traders who want to:
Trade alongside institutional “smart money” by focusing on liquidity zones, ICT concepts, and supply & demand mechanics.
Automatically streamline chart analysis while maintaining maximum flexibility, precision, and control over their trading environment.
Londen & New York Sessies (UTC+2)This script highlights the London and New York trading sessions on the chart, adjusted for UTC+2 timezone. It's designed to help traders easily visualize the most active and liquid periods of the Forex and global markets directly on their TradingView charts. The London session typically provides strong volatility, while the New York session brings increased momentum and overlaps with London for powerful trading opportunities. Ideal for intraday and session-based strategies.
Price Change x% from Prior CloseThis indicator identifies candles where price moved a specified percentage below the prior candle's Close price.
The script plots a gray bar at the threshold price for each candle and a green up-arrow for candles where the price crosses below the threshold price.
The Threshold Price Percentage can be set in the indicator settings window.
Hikaru's FV Comparison
Hikaru's FV Comparison allows you to compare any two assets using Hikaru Bands. This indicator shows where your comparison asset sits within its own bands while you're viewing another chart. Perfect for spotting divergences between correlated markets - see if SPX is overbought while BTC isn't, or check if ETH and SOL are aligned in their band positions.
The orange line (customizable color) represents the comparison asset's relative position mapped to your current chart's Hikaru Bands. When the comparison asset touches its lower extreme band, the line appears at your chart's lower extreme. When it's overbought, the line moves to the corresponding overbought zone on your chart.
█ FEATURES
Comparison Symbol Selection
• Choose any symbol to compare against your current chart (default: CRYPTO:ETHUSD)
• Works with stocks, crypto, forex, indices, or any TradingView symbol
• Confirmation dialog on first load to select your comparison asset
Visual Clarity
• Customizable comparison line color (default: orange) for easy visibility
• Grey line indicates periods with no data available for the comparison symbol
• Single clean line overlay - no clutter, just the essential information
Full Hikaru Bands Customization
All original Hikaru Bands features are included:
• 10 component indicators: EMA Spread, CCI, BB%, Crosby Ratio, Sharpe Ratio, ROC, Z-Score, PGO, RSI, and Omega Ratio
• Multiple color schemes: Extremes, VAMS Style, Copper, Ocean, Washed Out, Neon, Warm, Cool
• Adjustable normalization lookback, basis length, band multiplier, and smoothing
█ HOW TO USE
Setting Up
1 — Add the indicator to your chart. A dialog will prompt you to select a comparison symbol.
2 — Choose the asset you want to compare (e.g., TVC:SPX to compare with the S&P 500).
3 — Adjust the comparison line color in the Style settings if needed (it's at the top for easy access).
Interpreting the Comparison Line
• When the line is near your chart's upper bands: The comparison asset is in its overbought zone
• When the line is near your chart's lower bands: The comparison asset is in its oversold zone
• When the line is near the middle basis: The comparison asset is trading near its equilibrium
• Grey line: No historical data available for the comparison asset during that period
Trading Applications
• Divergence Detection: Spot when correlated assets are moving in opposite band directions
• Correlation Confirmation: Verify that related markets are showing similar strength or weakness
• Leading Indicators: Watch for one asset reaching extremes before the other follows
• Risk Assessment: Check if macro indices like SPX are overbought when considering crypto longs
█ EXAMPLES
ETH vs SOL
Compare Ethereum against Solana to see if they're aligned. If ETH is at its lower bands but SOL shows (via the comparison line) at its upper bands, this divergence might indicate a rotation between the two assets.
Crypto vs GOLD
Compare your crypto chart against TVC:GOLD (GOLD Index) to see money flow correlations.
█ DISCLAIMER
This tool is designed for technical analysis and should not be used as a standalone signal for trading.
Dynamic ATR BandsDescription:
The Dynamic ATR Bands indicator visualizes ATR-based stop-loss, take-profit, and trailing levels. Bands can be drawn relative to a fixed entry price or dynamically relative to the current price. It is ideal for trend-following, swing trading, and hybrid strategies, especially on volatile or noisy instruments.
Key Features:
Base ATR Bands:
Plots ATR-based bands above and below a reference price.
Acts as initial stop-loss or target guidance.
Adjustable multiplier (default 1× ATR).
Extra ATR Band:
Add an additional ATR band at a custom multiplier.
Position it above or below the reference price.
Useful for trailing stops or extended profit targets.
Hybrid Entry Mode:
Use Fixed Entry Price: bands are drawn relative to your entry and remain fixed.
Dynamic Mode: bands behave like standard ATR bands, moving with the current price.
Allows visualization of hybrid ATR stop-loss and trailing strategies.
Clean Visuals:
Color-coded bands differentiate base (solid) from extra (semi-transparent).
How to Use:
Set ATR length and multipliers according to your strategy.
Toggle hybrid entry mode and input your entry price, or leave off for dynamic bands.
Set the extra band multiplier and choose its position (upper/lower).
Use the bands as visual guides for stop-loss, take-profit, and trailing levels.
Inputs:
ATR Length: number of periods for ATR calculation
Base ATR Multiplier: distance of base bands from reference price
Extra ATR Multiplier: distance for the additional band
Extra Band Position: choose Upper or Lower
Use Fixed Entry Price: toggle hybrid entry mode
Entry Price: specify entry price if hybrid mode is enabled
Note:
This script is visual only; it does not place trades. It is designed to help plan ATR-based stop-loss, take-profit, and hybrid trade management visually on the chart.
SAR e Bollinger Bands CombinateThis TradingView script combines the analytical power of the Parabolic SAR with Bollinger Bands (BB) for a comprehensive dual market analysis.
The Parabolic SAR tracks the trend's direction and momentum, plotting points as lime crosses (uptrend) or red crosses (downtrend), and clearly marks trend reversals with a small triangle at the bottom of the chart.
Bollinger Bands measure market volatility and provide dynamic support and resistance levels. The space between the upper and lower bands is filled for enhanced visual clarity.
The indicator is fully customizable, allowing users to fine-tune all key parameters, including the SAR's Acceleration Factor (AF) and the BB's Period/Standard Deviation. This makes it an ideal tool for simultaneously identifying trend momentum, potential reversals, and overbought/oversold market conditions.
Adaptive Regime Hybrid (Trend + MeanRev)Adaptive Regime Hybrid — see whether the market wants a trend or a reversion. One oscillator, clearer trades.
Try ARH on your favorite instrument and timeframe. Start with default settings; increase SigThreshold for fewer high‑conviction signals, or raise SmoothW to reduce whipsaw in choppy markets.
Custom Bollinger Band Squeeze Screener [Pineify]Custom Bollinger Band Squeeze Screener
Key Features
Multi-symbol scanning: Analyze up to 6 tickers simultaneously.
Multi-timeframe flexibility: Screen across four selectable timeframes for each symbol.
Bollinger Band Squeeze algorithm: Detect volatility contraction and imminent breakouts.
Advanced ATR integration: Measure expansion and squeeze states with custom multipliers.
Customizable indicator parameters: Fine-tune Bollinger and ATR settings for tailored detection.
Visual table interface: Rapidly compare squeeze and expansion signals across all instruments.
How It Works
At the core, this screener leverages a unique blend of Bollinger Bands and Average True Range (ATR) to quantify volatility states for multiple assets and timeframes at once. For each symbol and every selected timeframe, the indicator calculates Bollinger Band width and compares it against ATR levels, offering real-time squeeze (consolidation) and expansion (breakout) signals.
Bollinger Band width is computed using standard deviations around a SMA basis.
ATR is calculated to gauge market volatility independent of price direction.
Squeeze: Triggered when BB width contracts below a multiple of ATR, forecasting lower volatility and set-up for a move.
Expansion: Triggered when BB width expands above a higher ATR multiple, signaling a high-volatility breakout.
Display: Results shown in an intuitive table, marking each status per ticker and TF.
Trading Ideas and Insights
Spot assets poised for volatility-driven breakouts.
Compare squeeze presence across timeframes for optimal entry timing.
Integrate screener results with price action or volume for high-confidence setups.
Use squeeze signals to avoid choppy or non-trending conditions.
Expand and diversify watchlists with multi-symbol coverage.
How Multiple Indicators Work Together
This script seamlessly merges Bollinger Bands and ATR with customized multipliers:
Bollinger Bands identify price consolidation and volatility squeeze zones.
ATR tailors the definition of squeeze and expansion, making signals adaptive to volatility regime changes.
By layering these with multi-symbol/multi-timeframe data, traders access a high-precision view of market readiness for trend acceleration or reversal.
The real synergy is in the screener's ability to visualize volatility states for a diverse asset selection, transforming traditional single-chart analysis into a broad market view.
Unique Aspects
Original implementation: Not a simple trend or scalping indicator; utilizes advanced volatility logic.
Fully multi-symbol and multi-timeframe support uncommon in most screeners.
Custom ATR multipliers for both squeeze and expansion allow traders to match their risk profile and market dynamics.
Visual clarity: Table structure promotes actionable insights and reduces decision fatigue.
How to Use
Add the indicator to your TradingView chart (supports any asset class including crypto, forex, stocks).
Select up to six symbols (tickers) and set your preferred timeframes.
Adjust Bollinger Band Length/Deviation and ATR multipliers to refine squeeze/expansion criteria.
Review the screener table: Look for "SQZ" (squeeze) or "EXP" (expansion) cells for entry/exit ideas.
Combine screener information with other technical or fundamental signals for trade confirmation.
Customization
Symbols: Choose any tickers for scanning.
Timeframes: Select short- to long-term intervals to match your trading style.
Bollinger Band parameters: Modify length and deviation for sensitivity.
ATR multipliers: Set low or high values to adjust squeeze/expansion triggers.
Table size and layout: Adapt display for optimal workflow.
Conclusion
The Bollinger Band Squeeze Screener Pineify delivers an innovative, SEO-friendly multi-asset solution for volatility and trend detection. Harness its original algorithmic design to uncover powerful breakout opportunities and optimize your portfolio. Whether you trade crypto with dynamic volatility or scan stocks for momentum, this tool supercharges your TradingView workflow.
QUANTUM MOMENTUMOverview
Quantum Momentum is a sophisticated technical analysis tool designed to help traders identify relative strength between assets through advanced momentum comparison. This cyberpunk-themed indicator visualizes momentum dynamics between your current trading symbol and any comparison asset of your choice, making it ideal for pairs trading, crypto correlation analysis, and multi-asset portfolio management.
Key Features
📊 Multi-Asset Momentum Comparison
Dual Symbol Analysis: Compare momentum between your chart symbol and any other tradable asset
Real-Time Tracking: Monitor relative momentum strength as market conditions evolve
Difference Visualization: Clear histogram display showing which asset has stronger momentum
🎯 Multiple Momentum Calculation Methods
Choose from four different momentum calculation types:
ROC (Rate of Change): Traditional percentage-based momentum measurement
RSI (Relative Strength Index): Oscillator-based momentum from 0-100 range
Percent Change: Simple percentage change over the lookback period
Raw Change: Absolute price change in native currency units
📈 Advanced Trend Filtering System
Enable optional trend filters to align momentum signals with prevailing market direction:
SMA (Simple Moving Average): Classic trend identification
EMA (Exponential Moving Average): Responsive trend detection
Price Action: Identifies trends through higher highs/lows or lower highs/lows patterns
ADX (Average Directional Index): Measures trend strength with customizable threshold
🎨 Futuristic Cyberpunk Design
Neon Color Scheme: Eye-catching cyan, magenta, and matrix green color palette
Glowing Visual Effects: Enhanced visibility with luminescent plot lines
Dynamic Background Shading: Subtle trend state visualization
Real-Time Data Table: Sleek information panel displaying current momentum values and trend status
How It Works
The indicator calculates momentum for both your current chart symbol and a comparison symbol (default: BTC/USDT) using your selected method and lookback period. The difference between these momentum values reveals which asset is exhibiting stronger momentum at any given time.
Positive Difference (Green): Your chart symbol has stronger momentum than the comparison asset
Negative Difference (Pink/Red): The comparison asset has stronger momentum than your chart symbol
When the trend filter is enabled, the indicator will only display signals that align with the detected market trend, helping filter out counter-trend noise.
Settings Guide
Symbol Settings
Compare Symbol: Choose any tradable asset to compare against (e.g., major indices, cryptocurrencies, forex pairs)
Momentum Settings
Momentum Length: Lookback period for momentum calculations (default: 14 bars)
Momentum Type: Select your preferred momentum calculation method
Display Options
Toggle visibility of current symbol momentum line
Toggle visibility of comparison symbol momentum line
Toggle visibility of momentum difference histogram
Optional zero line reference
Trend Filter Settings
Use Trend Filter: Enable/disable trend-based signal filtering
Trend Method: Choose from SMA, EMA, Price Action, or ADX
Trend Length: Period for trend calculations (default: 50)
ADX Threshold: Minimum ADX value to confirm trend strength (default: 25)
Best Use Cases
✅ Pairs Trading: Identify divergences in momentum between correlated assets
✅ Crypto Market Analysis: Compare altcoin momentum against Bitcoin or Ethereum
✅ Stock Market Rotation: Track sector or index relative strength
✅ Forex Strength Analysis: Monitor currency pair momentum relationships
✅ Multi-Timeframe Confirmation: Use alongside other indicators for confluence
✅ Mean Reversion Strategies: Spot extreme momentum divergences for potential reversals
Visual Indicators
⚡ Cyan Line: Your chart symbol's momentum
⚡ Magenta Line: Comparison symbol's momentum
📊 Green/Pink Histogram: Momentum difference (positive = green, negative = pink)
▲ Green Triangle: Bullish trend detected (when filter enabled)
▼ Red Triangle: Bearish trend detected (when filter enabled)
◈ Yellow Diamond: Neutral/sideways trend (when filter enabled)
Pro Tips
💡 Look for crossovers between the momentum lines as potential trade signals
💡 Combine with volume analysis for stronger confirmation
💡 Use momentum divergence (price making new highs/lows while momentum doesn't) for reversal signals
💡 Enable trend filter during ranging markets to reduce false signals
💡 Experiment with different momentum types to find what works best for your trading style
Technical Requirements
TradingView Pine Script Version: v6
Chart Type: Works on all chart types
Indicator Placement: Separate pane (overlay=false)
Data Requirements: Needs access to comparison symbol data
Sicari Stress Map - Flash Crash / Stabilising Detection EngineA flash crash & stabilisation detection engine measuring volatility compression in 5 min candles printed no matter what timeframe you are on.
Most “flash-crash” legs start with a local stress shock on a small timeframe (5-min works well):
- a burst in true range (high TR percentile),
- short-term vol jumps vs long-term (RV ratio),
- bands expand and price snaps below fast EMA,
- often a quick reflex bid (buy-the-dip) for a few 5-min candles…
…and then the main liquidation leg hits.
This engine keys off that first shock on 5m and bubbles it up to your chart TF as a single FLASHCRASH pulse. Then it watches for Stabilising, when panic fades:
- ATR compresses,
- BB width z goes negative (pinch),
- ranges shrink,
- structure improves (≥ fast EMA by default).
Adaptive MACD Fusion (Dual-Core Momentum Engine)Adaptive MACD Fusion merges two complementary engines - an *Adaptive MACD Core* and a *Phase Momentum Core* - into a single self-tuning framework.
It’s built for traders who need early, stable, and volatility-aware momentum confirmation without lag or repaint.
Core Architecture
Adaptive MACD Core
Reconstructs classic MACD with z-score normalization and dynamic length adjustment driven by volatility energy.
It adapts automatically between calm and trending regimes for smoother responsiveness.
Volatility Gating System
A logistic ATR-based gate dynamically adjusts signal strength between 0.5 and 1.5.
It suppresses fake impulses during quiet markets and amplifies valid ones in breakouts.
Higher-Timeframe Confirmation
Synchronizes local momentum with higher-timeframe direction using adaptive state decay.
Avoids false reversals by maintaining trend persistence.
Phase Momentum Core
Tracks short-term acceleration/deceleration phases using adaptive EMAs with directional boosts.
Confirms valid shifts and filters market noise — acting as a zero-lag complement to MACD.
Unified Visualization Layer
Merged color logic enables viewing either MACD-only, Phase-only, or combined (Merged) signals in a single visual system.
Key Features
✅ Dual-core adaptive momentum engine
✅ Dynamic volatility weighting
✅ Regime-aware z-score normalization
✅ Persistent higher-timeframe trend memory
✅Multi-mode color & alert system
Conceptual Summary
This is not a cosmetic MACD tweak.
Adaptive MACD Fusion combines structural momentum (MACD) and phase acceleration (short-term engine) to form a coherent adaptive system.
It delivers earlier entries, smoother exits, and consistent cross-regime performance.
Disclosure
This indicator is published as *closed-source* to protect the proprietary adaptive-fusion and volatility-weighting logic.
The architecture, concepts, and functional behavior are fully described above so that traders can understand how it works, how to use it, and what makes it unique — in compliance with TradingView’s House Rules on originality and closed-source publication.
Vol-Sensitivity Ratio: dVIX% / dSPX%Vol-Sensitivity Ratio: dVIX% / dSPX%
Hey guys — I built a custom TradingView indicator to track how reactive the VIX is to SPX moves.
It’s basically a quick visual on market fear vs. complacency, and how volatility responds in real time.
How It Works
Calculates the ratio of VIX % change ÷ SPX % change
Shows color-coded zones for market behavior:
🔴 SPX & VIX rising → Bearish divergence
🟠 Weak VIX response → Complacency
🟩 Normal inverse → Healthy market
🟣 Extreme ratio → Volatility stress
How to Use
Add the script to your TradingView chart
Choose mode → Since Session Open (intraday) or From Prior Close (swing)
Watch the ratio line, color bands, and mini dashboard (shows dVIX%, dSPX%, and ratio)
It also supports alerts for when the market enters stress, divergence, or complacency zones.
Why I Made It
@HEK often talks about VIX, VVIX, and volatility dynamics during trading.
That got me thinking about how to actually quantify the relationship instead of just “watching” it.
thanks to chatgpt I was able to turn into a visual
Now I’ll be forward-testing it in live markets and on a few prop accounts to see how useful it is in real-time conditions.
Feel free to try it out, tweak it, and share feedback or observations. Would love to see how it performs for others too.
Volatilidad Multi-TF📊 Multi-Timeframe Volatility (ATR%)
Description
Indicator that displays the current asset's volatility across multiple timeframes simultaneously. It uses the ATR (Average True Range) normalized as a percentage of price, allowing for objective volatility comparison across different timeframes.
✨ Key Features
- Multi-Timeframe Analysis: Visualize volatility across 5 different timeframes (1H, 4H, D, W, M)
- Normalized Volatility: ATR expressed as a percentage of price for accurate comparison
- Compact Table: Clean and easy-to-read interface in the corner of your chart
- Auto-Update: Automatically adapts to the asset you're viewing
- No Additional Plots: Only displays essential information in table format
🎯 How to Use
1. Add the indicator to your chart
2. The table will automatically display the current asset's volatility
3. Percentage values allow you to quickly identify:
- Which timeframe has higher/lower volatility
- Divergences between timeframes
- High or low volatility zones to adjust your strategies
⚙️ Configurable Parameters
- ATR Period: Default 14, adjust according to your strategy
📈 Practical Applications
- Risk Management: Adjust position sizing based on current volatility
- Asset Selection: Identify assets with suitable volatility for your profile
- Entry Timing: Detect volatility expansions/contractions
- Timeframe Analysis: Compare volatility across different time periods
💡 Technical Notes
- Normalized ATR allows volatility comparison between assets with different prices
- Useful for both intraday trading (1H, 4H) and swing/positional trading (D, W, M)
- Compatible with any market: cryptocurrencies, forex, stocks, indices
⚠️ Disclaimer
This indicator is a technical analysis tool. It does not constitute financial advice. Conduct your own analysis and risk management before trading.
Squeeze Momentum IndicatorThis indicator identifies periods of low market volatility—commonly referred to as a "squeeze"—by comparing Bollinger Bands and Keltner Channels. When volatility compresses, price often prepares for a directional breakout. The histogram visualizes momentum strength and direction once the squeeze ends.
**How it works:**
- **Squeeze detection**: A squeeze is active when Bollinger Bands are fully contained within Keltner Channels. This appears as black crosses on the zero line.
- **Volatility expansion**: When Bollinger Bands move outside Keltner Channels, volatility is increasing. This state is marked with blue crosses.
- **Momentum histogram**: The core signal is a linear regression of price relative to a dynamic baseline (average of the highest high, lowest low, and SMA over the lookback period).
- **Aqua**: Positive momentum that is accelerating.
- **Bright blue**: Positive momentum that is decelerating.
- **Yellow**: Negative momentum that is accelerating downward.
- **Orange**: Negative momentum that is decelerating (potential reversal zone).
**Usage notes:**
Traders often monitor the transition from squeeze (black) to expansion (blue) combined with a strong histogram move away from zero as a potential entry signal. Color changes in the histogram help assess momentum shifts before price makes large moves.
This script is designed for educational and analytical purposes. It does not constitute investment advice. Always test strategies in a simulated environment before applying them to live trading.
Binary Options Fast Scalping [TradingFinder] M1 & M5 Signals🔵 Introduction
In the structure of financial markets, spiky moments and sudden price movements play a key role in Liquidity Grabs and Market Structure Resets. These movements usually occur after the accumulation of orders in Buy Side or Sell Side Liquidity zones and are accompanied by rapid breaks in the form of Break of Structure (BoS) or Change of Character (CHoCH).
At this stage, the market temporarily moves in the direction of liquidity to trigger counter orders and then enters a Retracement or Pullback phase, a point where professional traders using the Smart Money Concept (SMC) look for candle confirmation to enter with precision.
This strategy is built upon the same logic : an initial spiky move as a signal of institutional or liquidity driven algorithms, followed by a controlled pullback toward areas such as the Order Block, Fair Value Gap (FVG), or Imbalance Zone, and finally an entry based on a strong confirmation candle (Engulf, Rejection, Breaker) that defines the true direction of order flow.
This combination of price behavior, especially on lower timeframes such as M1 or M5, provides an ideal setup for fast Scalping, Micro Structure Trading, and even short term directional prediction in Binary Options Trading.
Since the main focus of this method is on identifying liquidity phases, structural confirmations, and momentum confirmation candles, the trader can design entries with high probability and logical stop loss placement using the concepts of Fractal Market Structure and Multi Timeframe Confirmation.
In the scalping version, the main objective is to capture the move toward the next liquidity pool or opposite demand and supply zone, while in the binary version, only the prediction of the next candle’s direction matters. This strategy inherently operates based on Smart Money Behavior, Liquidity Engineering, and Order Flow Dynamics, allowing the extraction of fast and profitable moves from the internal logic of market structure.
🔵 How to Use
The operational logic of this strategy is based on Liquidity Sweep, Pullback, and Confirmation Candle. The trader should first identify the initial Impulse Move, which is often accompanied by liquidity absorption around Buy Side or Sell Side Liquidity areas. After that, the market enters the Retracement phase and returns to structural zones such as the Order Block or the Fair Value Gap (FVG).
At this point, a position is taken only when a confirmation candle (Engulf, Breaker, or Rejection Candle) closes in the direction of continuation and aligns with the new structure (BOS or CHoCH). Applying this model on lower timeframes offers the highest precision for fast Scalping or for predicting the next candle’s direction in Binary Option trading.
🟣 Bullish Setup
In the bullish setup, the market first forms a spiky upward move with a sudden increase in momentum, indicating the activation of liquidity flow in the Buy Side Liquidity zone. This movement is usually accompanied by a Break of Structure (BOS) to the upside and marks the beginning of the Impulse Move phase. After this move, the price enters the Pullback phase and returns to structural areas such as the Bullish Order Block, Fair Value Gap (FVG), or Mitigation zone.
At this stage, the trader waits for a bullish confirmation candle (Bullish Engulf or Breaker Candle) to validate the end of the retracement. Entry is made at the close of the confirmation candle or on a minor pullback, with the stop loss placed below the Swing Low or below the pullback zone. The target is set at the next Buy Side Liquidity or Equal Highs. In the binary version, only the direction of the next candle matters and the entry takes place immediately after the confirmation candle.
🟣 Bearish Setup
In the bearish setup, the market first forms a spiky downward move, signaling increased selling pressure and liquidity absorption at the Sell Side Liquidity zone. This movement is accompanied by a Break of Structure (BOS) to the downside and represents the beginning of a bearish momentum phase. After the spike, the price enters the Retracement phase and returns to the Bearish Order Block or bearish Fair Value Gap zone. Within these areas, the formation of a bearish confirmation candle (Bearish Engulf, Breaker, or Rejection Candle) validates the continuation of the downtrend.
The entry is taken at the close of the confirmation candle, with the stop loss placed above the Swing High or above the pullback zone, and the target set toward the next Sell Side Liquidity or Equal Lows. In binary applications, only the direction of the next candle is considered and the confirmation candle serves as the entry trigger.
🔵 Conclusion
This strategy, by combining the principles of the Smart Money Concept, Liquidity Dynamics, and Candle Confirmation Logic, offers a precise and multi functional approach to market entry. Its core structure, identifying the initial spiky movement, waiting for a structural pullback, and entering based on a confirmation candle allows quick interpretation of institutional liquidity behavior and provides trading opportunities with high accuracy and controlled risk.
On lower timeframes, this logic becomes a powerful tool for Scalping and Micro Structure Trading, while in binary markets it delivers high success rates due to its focus on predicting the next candle’s direction. Built upon the foundations of Order Flow, Market Structure, and Fractal Liquidity Behavior, this strategy demonstrates that even in the fastest and noisiest market conditions, the order of Smart Money remains observable and exploitable.
