Jurik MA Trend Breakouts [BigBeluga]🔵 OVERVIEW
Jurik MA Trend Breakouts is a precision trend-breakout detector built on a custom Jurik-smoothed moving average.
It identifies trend direction with ultra-low lag and maps breakout levels using pivot-based swing highs/lows.
The indicator plots dynamic breakout lines and confirms trend continuation or reversal when price breaks them — providing clean, minimalistic yet extremely accurate trend signals.
🔵 CONCEPTS
Jurik Moving Average (JMA) — A highly smooth and low-lag moving average that reacts quickly to trend shifts without noise. This becomes the core trend baseline.
Trend Bias —
• JMA rising → bullish trend
• JMA falling → bearish trend
The JMA color updates instantly based on slope.
Swing Pivots — Recent pivot highs/lows are detected to define structural break levels while filtering out weak noise.
Trend Breakout Levels —
The indicator draws horizontal levels at the last valid pivot in the direction of the trend.
These levels act as “confirmation gates” for breakout entries.
ATR Validity Filter — Ensures only meaningful pivots within a threshold are used to prevent fake breakouts.
🔵 FEATURES
Ultra-Smooth Jurik Trend Line — A visually clean trend baseline changing color based on direction.
Automatic Swing High Breakout Setup (Bullish) —
• During an uptrend, the indicator tracks the most recent pivot high.
• A horizontal breakout line is extended across the chart.
• A ✔ marker appears at both pivot points when the breakout structure becomes valid.
Automatic Swing Low Breakout Setup (Bearish) —
• During a downtrend, pivot lows are tracked.
• A horizontal breakout line marks the breakdown level.
• ✔ markers confirm valid structure before the breakout triggers.
Breakout Detection —
• Price closing above the bullish breakout line → “↑” signal printed on the chart.
• Price closing below the bearish breakout line → “↓” signal printed on the chart.
Automatic Reset on Trend Change —
When the JMA trend flips, all breakout structures are cleared and the model starts tracking new pivot levels.
Trend-Colored Visualization —
Glow + main JMA line give instant clarity of market direction.
🔵 HOW IT WORKS
1. JurikMA defines the main trend — Slope determines bullish or bearish state.
2. The indicator continuously searches for pivots in the direction of the trend.
3. When a valid pivot forms and passes ATR proximity filter, a structural breakout level is drawn.
4. As long as price stays below that level (bullish case), the trend setup remains active.
5. When price finally breaks the level , the indicator prints a directional arrow (↑ or ↓).
6. Trend flip instantly resets all levels and begins tracking pivots on the opposite side.
🔵 HOW TO USE
Breakout Trading — Enter long on “↑” and short on “↓” signals when price breaks key pivot structure.
Trend Confirmation — Use the JurikMA color to stay aligned with the main trend direction.
Reversals — Trend flips often mark major turning points.
Structure Mapping — Use the horizontal breakout lines to understand how close price is to confirming a new trend leg.
🔵 CONCLUSION
Jurik MA Trend Breakouts combines the speed of a Jurik MA with structural breakout logic to deliver clean, reliable entry signals.
Its minimal design, pivot-based confirmation, and trend-aligned logic make it suitable for scalping, swing trading, and intraday trend continuation setups.
If you want fast yet filtered breakout recognition with almost zero noise, this tool gives you everything you need.
Trendtrading
Smart SafeZone Stops [MarkitTick]💡 This script represents a sophisticated evolution of volatility-based trailing stop methodologies. It is designed to assist traders in managing trend-following positions by dynamically adjusting stop-loss levels based on market noise, directional momentum, and volume flows. Unlike static trailing stops that move by a fixed percentage or simple ATR multiples, this tool calculates the "safe zone" by analyzing how far price has penetrated against the trend over a specific lookback period, offering a granular approach to risk management that adapts to changing market conditions.
✨ Originality and Utility
The primary utility of this indicator lies in its ability to filter out market noise while remaining tight enough to protect profits during strong trends. While the classic SafeZone concept (popularized by Dr. Alexander Elder) is effective, this script introduces several modern enhancements that increase its robustness:
● Dynamic ADX Integration Standard SafeZone stops use a fixed multiplier. This script integrates the Average Directional Index (ADX) to gauge trend strength. When the trend is strong, the stop tightens (Aggressive Multiplier) to lock in profits rapidly. When the trend is weak or choppy, the stop widens (Conservative Multiplier) to prevent premature shakeouts. ● Volume-Weighted Noise Price movement on low volume is often considered "noise," while high-volume movement signifies conviction. This script optionally weights the noise calculation by Relative Volume. A downward spike on low volume will affect the stop level less than a downward spike on high volume.
● 3-Day Smoothing Mechanism To prevent the stop line from becoming too jagged or reacting to single-bar anomalies, the script applies a 3-day smoothing algorithm. It utilizes the "worst-case" scenario of the last three calculated stop levels, ensuring the stop only moves when the trend structure genuinely shifts.
🔬 Methodology and Concepts
The underlying logic operates on a "Ratchet" mechanism, meaning the stop line can only move in the direction of the trade (up for longs, down for shorts) and never retraces until a trend reversal occurs.
● Directional Noise Calculation The script separates market noise into two components: Downside Penetration (for Longs): The distance the price dips below the previous bar's low. Upside Penetration (for Shorts): The distance the price spikes above the previous bar's high. The average of these penetrations is calculated over the Noise Lookback Period .
● The SafeZone Formula The raw stop level is derived as follows: Long Stop = Previous Low - (Average Downside Noise × Multiplier) Short Stop = Previous High + (Average Upside Noise × Multiplier)
● Adaptive Multiplier Logic If Dynamic ADX is enabled: If ADX > Strong Threshold: Use Aggressive Multiplier (e.g., 1.5x). If ADX < Weak Threshold: Use Conservative Multiplier (e.g., 3.5x). Otherwise: Use the Base Safety Coefficient.
● Exhaustion Detection The script calculates the distance between the current Close price and the Active Stop. If this distance exceeds a specific multiple of the ATR (Average True Range), it flags a "Mean Reversion" or "Exhaustion" warning, suggesting price has extended too far from equilibrium.
🎨 Visual Guide
The indicator plots distinct visual elements to guide decision-making without cluttering the chart excessively.
● Trailing Stop Lines Green Line (Solid): Represents the SafeZone Long Stop. This line appears below price during an uptrend. As long as price closes above this line, the bullish bias is intact. Red Line (Solid): Represents the SafeZone Short Stop. This line appears above price during a downtrend. A close above this line signals a potential short exit or reversal.
● Trend Signals Green Triangle (Below Bar): Marks the "Bull Start." This occurs when the price crosses above the Trend Filter EMA and the trend logic flips to bullish. Red Triangle (Above Bar): Marks the "Bear Start." Indicates the start of a downtrend sequence.
● Exhaustion Warnings Yellow Labels (⚠️): These appear when price has extended significantly away from the stop line (based on the ATR Exhaustion Multiplier). This is not an immediate sell signal but a warning that the trend may be overextended and a pullback is probable.
● MTF Consensus Cloud Background Color: If enabled, the chart background changes color to reflect the Higher Timeframe (HTF) trend. Green Background: Current trend matches HTF Uptrend. Red Background: Current trend matches HTF Downtrend. Gray Background: Trends are mismatched (Consolidation/Conflict).
● Quantitative Dashboard A table located in the top-right corner displays real-time statistics: Trend: Current state (BULLISH/BEARISH). Age: Number of bars since the trend began. Stop Price: Exact price level of the trailing stop. Risk %: The percentage distance from the current Close to the Stop. If this exceeds 3%, the text turns red to highlight elevated risk. Active Mult: The current multiplier being used (Dynamic or Fixed). ADX State: Shows if the trend is Strong, Weak, or Normal.
📖 How to Use
1. Entry Timing Wait for a Trend Switch signal (Triangle). For a long entry (Green Triangle), ensure the price is above the Trend Baseline (EMA). Ideally, look for confluence with the MTF Cloud (Green Background).
2. Position Management Once in a trade, use the Trailing Stop Line as your hard exit or invalidation point. Do not manually move the stop away from price; the script automatically "ratchets" the stop tighter as the trend progresses.
3. Taking Profits Use the "Exhaustion Warnings" (⚠️) as opportunities to scale out of positions. When price moves parabolically away from the stop line, the probability of a snap-back increases.
4. Managing Chop If the dashboard shows "ADX State: WEAK," expect the stop line to remain wider. This allows the asset "room to breathe" without stopping you out on random volatility.
⚙️ Inputs and Settings
The script is highly customizable to fit different asset classes (Crypto, Forex, Stocks).
● Trend Definitions Trend Filter (EMA Length): Determines the baseline trend bias (Default: 22). Price must be above this EMA to initiate a long calculation.
● Noise Calculation Noise Lookback Period: The number of bars used to calculate average penetration (Default: 10). Base Safety Coefficient: The standard multiplier applied to the noise average (Default: 2.5). Higher values = wider stops. Use Volume Weighting: Enables the volume-adjustment logic. Use 3-Day Smoothing: Recommended keeping this TRUE to avoid stop-hunts.
● Dynamic Multiplier (ADX) Enable Dynamic ADX: Toggles the adaptive multiplier. Strong/Weak Thresholds: The ADX levels that trigger aggressive or conservative multipliers.
● Multi-Timeframe Consensus Higher Timeframe: Select the TF for the cloud background (e.g., Daily or Weekly).
● Exhaustion Warning ATR Multiplier: Defines how far price must be from the stop to trigger a warning (Default: 3.0).
🔍 Deconstruction of the Underlying Scientific and Academic Framework
The "Smart SafeZone" indicator is grounded in the statistical analysis of market noise versus signal.
● Theory of Noise Penetration Conventional stops often use Standard Deviation (Bollinger Bands) or Average True Range (Keltner Channels/Chandelier Stops). While effective, these measures assume volatility is symmetrical. This script adopts the view that directional volatility matters more. In an uptrend, upside volatility is "good" signal, while downside volatility is "noise." By explicitly calculating the average downside penetration (Low - Low), the script isolates the specific counter-trend force acting on the asset. ● Volume-Weighted Price Analysis (VWPA) The inclusion of volume weighting draws upon Dow Theory principles, which state that volume must confirm the trend. Math: Penetration × (Volume / AverageVolume) This formula asserts that a price drop on low volume is statistically less significant than a drop on high volume. By dampening the impact of low-volume moves, the stop becomes more resistant to liquidity vacuums and algorithmic stop-hunts.
● Trend Efficiency (ADX) The integration of J. Welles Wilder’s ADX (Average Directional Index) adds a dimension of Trend Efficiency. High ADX values indicate a highly efficient trend with little retracement. Mathematically, this justifies a lower standard deviation (or noise multiplier) for the stop, as the probability of a deep retracement without a trend change is lower in high-momentum environments.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Length Adaptive MA SuperTrendLength Adaptive MA SuperTrend
Length Adaptive MA SuperTrend is a third-generation evolution of the SuperTrend concept, designed to improve signal accuracy while maintaining high responsiveness across different market conditions. The indicator dynamically adjusts its moving-average length to better match current market activity, allowing it to react quickly in fast markets while remaining stable during slower phases.
This adaptive behavior helps traders and investors visualize trend direction more clearly while reducing unnecessary noise, making the tool suitable for both beginners and advanced users seeking a responsive trend overlay.
🔍 How It Works
The indicator uses a moving average as the foundation for a SuperTrend-style structure, but instead of keeping the moving-average length fixed, it continuously adapts to changing market environments.
The script compares average activity levels across three horizons:
• Long-term period
• Medium-term period (half length)
• Short-term period (square-root length)
Activity is measured using one of three selectable drivers:
• ATR (volatility)
• Volume
• Standard deviation
Whichever period shows the strongest average activity becomes the active length used for calculating the moving-average base. This allows the indicator to automatically shift between faster and slower behavior depending on market conditions.
After selecting the active length, the result is slightly smoothed using the chosen moving-average type to produce a cleaner and more stable trend structure.
ATR-based bands are then applied around the adaptive base, and trend direction changes when price crosses these bands.
⚙️ Key Features
• Adaptive moving-average length selection
• Automatic adjustment between short, medium, and long market conditions
• Multiple smoothing types (SMA, EMA, WMA, HMA, VWMA, DEMA, TEMA, EWMA)
• ATR-based SuperTrend structure
• Trend transition markers
• Optional candle coloring based on active trend
🧩 Inputs Overview
• Moving-average smoothing type
• Base length and price source
• ATR length and multiplier
• Adaptive driver selection (ATR, Volume, or Standard Deviation)
📌 Usage Notes
• Helps visualize prevailing market trends across changing environments.
• Automatically adapts speed for trending and consolidating markets.
• Signals may change intrabar on lower timeframes.
• Best used with confirmation tools and proper risk management.
• Intended as an analytical tool, not financial advice.
RSI Momentum & Trend Suite - O59 Elite QuantRSI Momentum & Trend Suite – O59 Elite Quant
Professional Market Structure & Momentum Analysis Tool
RSI Momentum & Trend Suite – O59 Elite Quant is a comprehensive technical analysis indicator designed to help traders better understand market momentum, trend structure, price reactions, and key support & resistance zones directly on the chart.
This indicator combines RSI-based momentum analysis, dynamic bar coloring, price action signals, and automatic trend & support/resistance detection into a single, clean visual framework.
🔹 Momentum & Bar Coloring Logic
The indicator includes a custom RSI momentum engine that evaluates short-term price changes and momentum strength.
Candles are automatically colored when momentum reaches critical zones:
Above 70 → Strong bullish momentum
Below 30 → Strong bearish momentum
This candle coloring helps traders instantly recognize momentum extremes without switching to a separate RSI pane.
🔺 Buy & Sell Triangle Signals
The script generates triangle-based buy and sell signals based on a combination of:
RSI oversold / overbought conditions
Short-term price action behavior
Candle structure and confirmation logic
These signals are intended to highlight potential reaction zones, not to predict the market.
They work best when used together with trend direction and support/resistance levels.
📈 Automatic Trend Detection
The indicator automatically identifies ascending and descending trend structures using pivot-based swing analysis.
Trendlines are drawn dynamically based on higher lows and lower highs
Broken trendlines are automatically removed to keep the chart clean
Both bullish and bearish trends are visually distinguished
This allows traders to quickly assess whether the market is trending or losing structure.
🟦 Dynamic Support & Resistance Levels
Key support and resistance levels are detected using recent pivot points:
Levels extend forward in real time
Broken levels are removed automatically
Helps identify potential reaction, rejection, and liquidity zones
These levels are designed to adapt continuously as market structure evolves.
🧾 Information Table & Visual Themes
A customizable information table is displayed on the chart, showing:
Indicator name
Current symbol
Active timeframe
Author branding
Users can choose between multiple visual themes, allowing better readability and personal preference while maintaining a professional appearance.
⚠️ Important Notes & Risk Disclaimer
This indicator is designed as a technical analysis support tool only.
It does not provide financial advice
Signals and visual elements should not be used alone
Always confirm signals with your own strategy, risk management, and market context
⚠️ Special caution is advised during:
Low-volume sessions
Weekend price action
High-impact news events
Thin liquidity hours
Market conditions during these periods may produce false signals or reduced reliability.
📌 Final Disclaimer
This indicator is for educational and analytical purposes only.
It is not investment advice.
All trading decisions remain the sole responsibility of the use
Luminous Trend Wave [Pineify]```
Luminous Trend Wave - Hull MA Based Normalized Momentum Oscillator
The Luminous Trend Wave (Pineify) is a momentum oscillator designed to provide clear, responsive trend signals while minimizing the lag commonly associated with traditional momentum indicators. By combining Hull Moving Average (HMA) calculations with ATR-based normalization and hyperbolic tangent transformation, LTW delivers a bounded oscillator that works consistently across different assets and timeframes.
Key Features
Hull Moving Average foundation for reduced lag trend detection
ATR normalization for universal applicability across all markets
Bounded output range (-100 to +100) using mathematical tanh transformation
Dynamic gradient coloring that reflects momentum intensity
Built-in signal line for momentum confirmation
Automatic alerts for trend reversals and momentum shifts
How It Works
The indicator operates through a four-stage calculation process:
Trend Basis Calculation: The indicator first calculates a Hull Moving Average (HMA) of the closing price. HMA was chosen specifically because it provides significantly less lag compared to Simple or Exponential Moving Averages while maintaining smoothness. This allows the oscillator to respond quickly to genuine price movements.
Distance Measurement: The raw distance between the current close price and the HMA trend line is calculated. This distance represents how far price has deviated from its smoothed trend.
ATR Normalization: The distance is then divided by the Average True Range (ATR) over the same lookback period. This normalization step is crucial - it makes the oscillator readings comparable across different assets regardless of their price levels or typical volatility. A stock trading at $500 and one at $5 will produce equivalent readings when their relative movements are similar.
Tanh Transformation: Finally, the normalized value is passed through a hyperbolic tangent function scaled by a sensitivity multiplier. The mathematical formula (e^2x - 1) / (e^2x + 1) naturally bounds the output between -100 and +100, preventing extreme spikes while preserving the directional information.
Trading Ideas and Insights
Zero Line Crossovers: When the oscillator crosses above zero, it indicates a shift from bearish to bullish momentum. Conversely, crossing below zero signals bearish momentum. These crossovers can be used as entry triggers when confirmed by other analysis.
Overbought/Oversold Levels: Readings above +80 suggest overbought conditions where price has extended significantly above its trend. Readings below -80 indicate oversold conditions. These extremes often precede mean reversion moves.
Signal Line Divergence: When the main oscillator (histogram) is above the signal line, momentum is increasing. When below, momentum is decreasing. This relationship helps identify the strength of the current move.
Momentum Fading: The indicator automatically fades the color intensity when the oscillator value is closer to the signal line than to the extremes, visually indicating weakening momentum before potential reversals.
How Multiple Indicators Work Together
LTW integrates three distinct technical concepts into a cohesive system:
Hull MA + ATR Integration: The Hull Moving Average provides the trend direction while ATR provides the volatility context. Together, they answer not just "where is the trend?" but "how significant is the current deviation relative to normal market movement?"
Mathematical Bounding + Visual Mapping: The tanh transformation ensures readings stay within predictable bounds, while the gradient coloring maps these bounded values to intuitive visual feedback. Strong bullish readings appear in bright green, strong bearish in bright red, with smooth transitions between.
Oscillator + Signal Line System: Similar to MACD's relationship between the MACD line and signal line, LTW uses a WMA-smoothed signal line to filter noise and confirm momentum direction. The interplay between the faster oscillator and slower signal creates actionable crossover signals.
Unique Aspects
Universal Normalization: Unlike many oscillators that produce different reading ranges on different assets, LTW's ATR normalization ensures consistent interpretation whether trading forex, crypto, stocks, or commodities.
Sensitivity Control: The sensitivity parameter allows traders to adjust how aggressively the oscillator responds to price changes. Higher values make it more responsive (useful for scalping), while lower values smooth out noise (better for swing trading).
Visual Momentum Feedback: The gradient coloring and transparency adjustments provide immediate visual feedback about trend strength without requiring traders to interpret numerical values.
How to Use
Add the indicator to your chart - it displays in a separate pane below price.
Watch for zero line crossovers as primary trend signals. Bullish when crossing above, bearish when crossing below.
Use the ±80 levels as caution zones where reversals become more likely.
Monitor the relationship between the histogram and signal line - histogram above signal indicates strengthening momentum.
Pay attention to color intensity - faded colors indicate weakening momentum and potential reversal zones.
Set alerts for automated notifications on trend changes and momentum shifts.
Customization
Trend Lookback (default: 21): Controls the HMA period. Lower values increase responsiveness but may generate more false signals. Higher values provide smoother trends but with more lag.
Signal Smoothing (default: 5): Adjusts the WMA period for the signal line. Higher values create a slower signal line with fewer crossovers.
Sensitivity (default: 1.5): Multiplier for the tanh transformation. Increase for more reactive signals, decrease for smoother readings.
Colors: Fully customizable bullish and bearish colors to match your chart theme.
Gradients: Toggle gradient coloring on/off based on preference.
Conclusion
The Luminous Trend Wave indicator offers traders a mathematically sound approach to momentum analysis. By combining the low-lag properties of Hull Moving Average with ATR-based normalization and bounded output transformation, LTW provides consistent, interpretable signals across any market. The visual feedback system makes trend strength immediately apparent, while the signal line crossovers offer clear entry and exit timing. Whether used as a standalone tool or combined with price action analysis, LTW helps traders identify trend direction, momentum strength, and potential reversal zones with clarity.
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VWAP Confluence Pro█ OVERVIEW
VWAP Confluence Pro is a high-precision trading indicator that combines VWAP with multiple confirmation filters to generate reliable buy and sell signals. Unlike basic VWAP crossover strategies that produce excessive noise, this indicator requires alignment across six independent conditions before triggering a signal, dramatically reducing false entries while capturing high-probability setups.
█ FEATURES
Multi-Layer Confirmation System
The indicator employs a strict confluence approach requiring all of the following conditions to align:
- VWAP Cross: Price must cross above (buy) or below (sell) the VWAP line
- VWAP Trend: The VWAP itself must be rising for buys or falling for sells, confirming directional bias
- Price Trend: A 20-period moving average filter ensures trades align with the prevailing trend
- Volume Confirmation: Signals only trigger when volume exceeds 1.5x the 20-bar average, indicating institutional participation
- RSI Filter: Buys require RSI between 50-60 (bullish momentum without overbought conditions), sells require 40-50 (bearish momentum without oversold conditions)
- MACD Momentum: MACD must confirm directional bias with the MACD line above the signal line for buys, below for sells
Signal Cooldown Period
A configurable cooldown mechanism (default 10 bars) prevents signal clustering and overtrading by ensuring adequate spacing between alerts. This feature is critical for maintaining discipline and avoiding choppy market conditions.
Visual Elements
- Purple VWAP Line: The cornerstone of the strategy, plotted with high visibility
- Green Up Arrows: Buy signals appear below price candles when all conditions align
- Red Down Arrows: Sell signals appear above price candles when all conditions align
- Blue Trend MA: A semi-transparent moving average provides visual trend context
- Background Shading: Subtle green/red backgrounds indicate when multiple confluence factors are aligned, even without a cross
█ HOW TO USE
Timeframe Selection
This indicator is optimized for intraday trading on 1-minute to 15-minute charts, where VWAP is most effective. It can also be used on hourly charts for swing trade entries or daily charts with appropriate parameter adjustments.
Parameter Optimization
All key parameters are customizable through the indicator settings:
- VWAP Deviation %: Controls sensitivity (default 0.8%). Lower values = stricter signals
- Volume Multiplier: Defines volume threshold (default 1.5x). Higher values = stronger volume confirmation required
- Trend Filter Length: Moving average period (default 20). Adjust based on your timeframe
- Cooldown Period: Minimum bars between signals (default 10). Increase for slower markets
- RSI/MACD Settings: Standard values provided, adjust for specific instruments if needed
Trading Strategy
1 — Wait for a signal arrow to appear (green for buy, red for sell)
2 — Confirm the background shading supports the signal direction
3 — Enter on the close of the signal candle or the open of the next candle
4 — Set stop loss below/above the recent swing low/high or the VWAP line
5 — Take profit at logical resistance/support levels or when opposing confluence develops
Best Practices
- Only take long trades when price is above a rising VWAP
- Only take short trades when price is below a falling VWAP
- Avoid trading during low volume periods (first/last 15 minutes of sessions)
- Use the background shading to gauge overall market bias between signals
- Consider increasing the cooldown period in choppy or range-bound conditions
█ LIMITATIONS
- This indicator is designed for trending markets and will produce fewer signals during consolidation periods
- The strict confluence requirements mean you may miss some valid moves in exchange for higher signal quality
- VWAP resets at the start of each session, making it less reliable on 24-hour markets without session breaks (use anchored VWAP for crypto/forex)
- Requires real-time volume data to function properly, less effective on thinly traded instruments
- Not suitable for scalping strategies requiring rapid entries, as the cooldown mechanism intentionally limits signal frequency
█ NOTES
Signal Quality Over Quantity
This indicator prioritizes accuracy over frequency. You may only see 1-3 signals per session on lower timeframes, but each signal represents a setup where trend, momentum, and volume are all aligned. This approach is designed to keep you out of low-probability trades and focused on the best opportunities.
Customization Encouraged
The default parameters provide a solid foundation, but different instruments and timeframes may benefit from optimization. Test the indicator across various settings to find what works best for your specific trading style and markets.
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This indicator synthesizes best practices from institutional VWAP trading with momentum confirmation from RSI and MACD. By requiring multiple independent factors to align, it filters out the noise common in single-indicator systems and focuses on setups where probability favors directional moves.
Rishii's EMA Trend EngineThis indicator is a dual-EMA trend framework designed to improve intraday decision-making by filtering out sideways market noise and highlighting only meaningful trend participation.
It uses a fast and slow EMA to define trend direction, while applying an HLC3-based color logic to show whether price is respecting each EMA. Candles turn green or red only when both the trend alignment and price participation conditions are satisfied. Neutral candles can be shown in white to visually remove noise and make valid candles stand out.
Additional filters such as EMA slope detection and optional higher-timeframe bias help avoid false signals during ranging conditions. A background trend zone and first-candle markers after EMA crossover further improve clarity without cluttering the chart.
How it helps
Clearly shows when the market is trending vs sideways
Highlights only those candles where price is truly participating in the trend
Filters out most whipsaws caused by flat EMAs BITSTAMP:BTCUSD
Combines trend bias, momentum, and participation in one clean view
Caution
This is a trend-following tool, not a reversal indicator.
When EMAs are flat and candles turn white, avoid trading
Do not treat every green/red candle as an entry; wait for proper structure.
Always use proper stop-loss and position sizing.
Adaptive Pullbacks ML v2.5Adaptive Pullbacks ML - Context-Aware Trend Trading
Overview
Adaptive Pullbacks ML is a sophisticated trend-following tool that solves the biggest problem in pullback trading: "Is this a dip to buy, or the start of a reversal?"
Unlike standard indicators that use fixed percentages or static moving averages, this script uses a 5-Dimensional k-Nearest Neighbors (k-NN) machine learning engine to learn the specific characteristics of successful pullbacks for the asset you are trading.
The 5-Dimensional ML Engine
The market is dynamic. A pullback depth that works in a low-volatility lunch session might fail during a high-volatility news event. This indicator tracks 5 key dimensions for every pullback:
Depth (ATR Normalized): How deep is the pullback relative to volatility?
Trend Slope: Is the trend steep (parabolic) or flat (grinding)?
ADX: How strong is the directional energy?
VWAP Distance: Is price extended or close to value?
Time of Day: Is this a morning drive or an afternoon fade?
When a new pullback occurs, the k-NN engine finds the 5 most similar historical events across these dimensions and predicts the probability of success.
Core Features
1. Fractal Normalization
The indicator speaks the language of ATR (Average True Range). It doesn't care if you trade the 15-second chart or the Daily chart. A "1.5 ATR Pullback" is a statistically comparable event across all timeframes, allowing for robust, scale-invariant analysis.
2. HTF Stats Bridge (Higher Timeframe Data)
You can trade on lower timeframes (e.g., 1-minute) while using statistics derived from higher timeframes (e.g., 15-minute). This ensures your signals are based on significant market structure, not microstructure noise.
3. Smart Zones
The indicator plots dynamic "Value Zones" based on learning:
Cyan Zone (Avg Depth): The "Sweet Spot". High probability bounce area.
Yellow Zone (Sigma): The "Extension". Price is stretching elastic limits.
Red Zone (Deep): The "Danger/Opportunity". Statistical anomaly.
4. PQS & k-NN Filters
Two layers of filtering protect your capital:
PQS (Probability Qualification Score): Based on raw win-rate of the zone.
k-NN Probability: Based on similarity to past winners.
Settings Guide
Stats Timeframe: The timeframe to learn from (Leave empty for Chart).
Trend/Trigger Settings: Define what constitutes a trend for your strategy.
k-Neighbors: Number of historical twins to compare (Default: 5).
Min PQS / k-NN: Thresholds for filtering weak signals.
Disclaimer: This tool is for educational purposes. Past performance of the k-NN engine does not guarantee future results.
Supertrend by JKRSupertrend by JKR is a trend-following overlay that plots dynamic support/resistance bands around price and flips when the trend changes.
It builds a smoothed baseline using your selected moving average type (SMA, TMA, WMA, VWMA, TEMA, HMA, EMA, or VMA). Around this baseline, it computes a volatility/range offset (classic ATR mode or Dual-Thrust range mode) and creates two trailing bands:
UpTrend band (active during bullish conditions)
DownTrend band (active during bearish conditions)
When price closes beyond the active band, the indicator flips trend direction and switches to the opposite band. While the trend remains active, the band “trails” price and updates in a way that avoids stepping backwards, which helps keep the trend structure clean and stable.
Options
Trend-change arrows (optional)
Bar coloring or candle overlay (optional)
Designed to evaluate on bar close for stable signals
Tip: Increase the Multiplier to reduce flips and widen bands; reduce Period to make the trend more responsive.
Oscillator [Scalping-Algo]█ POSTING OSCILLATOR
A squeeze momentum indicator that detects volatility compression and shows momentum direction.
█ HOW IT WORKS
This indicator combines Bollinger Bands and Keltner Channels to identify "squeeze" conditions — periods of low volatility that often precede explosive moves.
When Bollinger Bands contract inside Keltner Channels, volatility is compressing. When they expand back out, the squeeze "fires" and price typically makes a strong directional move.
█ HISTOGRAM COLORS
🟦 Bright Cyan — Positive momentum, increasing
🟦 Dark Cyan — Positive momentum, decreasing
🟪 Dark Purple — Negative momentum, increasing
🟪 Bright Magenta — Negative momentum, decreasing
█ SQUEEZE DOTS (ZERO LINE)
🟢 Teal — No squeeze (normal volatility)
⚫ Gray — Low squeeze
🔴 Red — Medium squeeze
🟠 Orange — High squeeze (breakout imminent)
█ HOW TO USE
1. Wait for squeeze dots (gray/red/orange) to appear
2. Watch which direction momentum is building
3. Enter when dots turn teal (squeeze fired)
4. Go long if histogram is cyan, short if magenta
5. Consider exit when colors fade (bright → dark)
█ BEST PRACTICES
• Works best on higher timeframes (1H, 4H, Daily)
• Combine with trend analysis and support/resistance
• Most reliable in trending markets
• Avoid trading against major levels
█ SETTINGS
Length: 20 (default) — Period for all calculations
Adjust based on your timeframe and trading style.
█ ALERTS
Set alerts for:
• Histogram crossing zero
• Squeeze firing (dot color change to teal)
• High squeeze detection (orange dots)
EMA Crossover Candle Color - 9/21A simple visual trend highlighter for intraday/day trading. This overlay indicator plots a fast 9-period EMA (orange) and a slower 21-period EMA (blue). Candles turn green on the exact bar where the 9 EMA crosses above the 21 EMA (bullish momentum shift), and red when the 9 EMA crosses below the 21 EMA (bearish shift). Otherwise, candles remain default. Great for spotting quick trend changes, momentum entries, or filtering chop on 5-min charts (or any timeframe). Pairs well with VWAP, volume, or price action for confluence.
EMA Fractal Bias"EMA Fractal Bias" overlays on TradingView charts to detect directional bias for scalping on futures like NQ/ES.
It computes three smoothed EMAs (fast 3/2, mid 9/3, slow 20/5, configurable) for stacking checks (bullish: fast > mid > slow; bearish: reverse).
Williams Fractals (period 2 default) identify potential breaks: close above up-fractal high for long, below down-fractal low for short.
Bias logic: Tracks last up/down fractal. On break, if stacked aligns, sets bias (long/short) and resets broken fractal. If no stack, sets pending flag and neutral bias; confirms on later bars if stack turns true.
Shading teal for long, purple for short, orange for neutral, with intra-bar previews.
Debug toggle adds event labels and status on last bar.
Non-repainting, evaluates on close.
Deviation Momentum For Loop | Lyro RSThe Deviation Momentum For Loop is a directional momentum tool that evaluates the persistence of price deviation from a moving average over a historical range using a custom loop-based scoring function. It quantifies relative momentum strength by comparing current deviation to previous values, assigning a net score used to assess trend bias, reversals, and volatility-adjusted strength.
Key Features
Deviation-Based Momentum: Calculates standardized deviation from a selected moving average by subtracting the MA from price and normalizing via standard deviation and a scaling constant. This standardization adjusts for volatility and creates a consistent scoring base across assets and timeframes.
Historical For-Loop Scoring: Implements a user-defined for-loop function that compares current deviation to values from earlier bars (configurable range). Each comparison adds or subtracts from a cumulative score based on whether current deviation exceeds historical ones, producing a dynamic momentum read.
Threshold-Based Signal Logic: Applies user-defined thresholds for long and short signals. If the loop score exceeds the long threshold, a bullish bias is inferred; if it drops below the short threshold, a bearish bias is indicated. These thresholds are plotted for visual clarity.
Multi-Palette Visual System:
Predefined Palettes – Choose from Classic, Mystic, Accented, or Royal schemes for bullish and bearish colors.
Custom Colors – Toggle on custom color selection to manually define bullish (UpC) and bearish (DnC) tones.
Dynamic Visuals – Oscillator line, threshold markers, background shading, bar and candle coloring are applied in real time based on trend state
.
Glow and Overlay Effects: Layered glow lines and optional bar/candle coloring reinforce signal strength and trend status directly on the chart.
Built-In Alerts: Provides alert conditions when the for-loop score crosses above or below the defined thresholds, enabling automated monitoring of trend conditions.
How It Works
MA Calculation – Applies the selected moving average to the chosen price source (e.g., close, open, high). Offers 16 moving average types including SMA, EMA, WMA, TEMA, JMA, FRAMA, ZLSMA, KAMA, and others via the LyroRS/LMAs/1 library.
Deviation Computation – Measures the deviation of price from its moving average, normalized by standard deviation and scaled by a fixed constant factor to account for volatility.
Loop Function – Iterates from user-defined indices (From → To) and compares current deviation to past deviations. Increments score for each instance where current > past, decrements when current < past. The resulting value is plotted as the primary oscillator.
Signal Logic – Long and short threshold values are configurable inputs. Crossing above the long threshold signals bullish bias; crossing below the short threshold signals bearish pressure.
Color Coding & Visual Feedback
Palette or custom colors reflect oscillator's directional state.
Additional glow lines increase signal emphasis.
Background shading highlights crossovers with mid-threshold for enhanced visibility.
Optional bar and candle coloring aligns price visualization with indicator signals.
Practical Use
Momentum Confirmation – Use a score rising above the long threshold as a potential bullish signal; falling below the short threshold may indicate bearish strength.
Volatility Normalization – Standardized deviation ensures consistency across assets of different volatility profiles.
Multi-Timeframe Adaptation – The wide selection of moving averages and loop depth settings allows calibration for scalping, swing, or long-term analysis.
Visual Clarity – Color-coordinated candles, bars, oscillator lines, and background simplify interpretation of signal context and trend structure.
Customization
Select from 16 moving average types to control sensitivity and smoothing.
Adjust loop depth (From/To) to define how far back deviation is compared.
Set custom threshold levels to reflect your preferred sensitivity to momentum shifts.
Customize visuals with predefined palettes or manual color settings for full chart integration.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
EduVest - IFA-VP Context v3.0 [NEON Edition]📊 IFA-VP Context v3.0
A powerful market context indicator combining Volume Profile analysis with SMA trend detection. Designed with a cyberpunk-inspired NEON color palette for maximum visibility on dark charts.
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🎯 WHAT IT DOES
This indicator helps you understand "where you are" in the market by analyzing:
• Volume Profile (POC, VAH, VAL)
• SMA Alignment (20/50/200)
• Context Score (0-100)
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⚡ KEY FEATURES
🔹 NEON Color Palette - Cyan/Pink/Gold colors optimized for dark mode
🔹 Context Score - Visual score bar (████████░░) shows market strength
🔹 Cross Signals - GOLDEN CROSS / DEATH CROSS with HUGE labels
🔹 POC Reaction - Track price interaction with Point of Control
🔹 Status Panel - All-in-one dashboard with trend, zone, and hints
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📺 THREE DISPLAY MODES
• Impact Mode - Full visual experience with badges, ribbons, and glow effects
• Minimal Mode - Clean SMA lines and VP levels only
• Pro Mode - Complete VP histogram display
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📈 SIGNALS EXPLAINED
▲ GOLDEN CROSS (20×50) - Short-term bullish momentum
▼ DEATH CROSS (20×50) - Short-term bearish momentum
⭐ MAJOR GOLDEN (50×200) - Long-term bull market signal
💥 MAJOR DEATH (50×200) - Long-term bear market signal
Context Badges:
⚡ SUPER BUY/SELL (Score 80+)
🔥 POWER BUY/SELL (Score 70-79)
💪 STRONG BUY/SELL (Score 60-69)
⏸ WAIT (Score <50)
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⏰ RECOMMENDED TIMEFRAMES
✅ 15min - 4H (Best for day trading & swing)
⚠️ 1min-5min (Noisy, use with caution)
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⚠️ DISCLAIMER
This is NOT a buy/sell signal indicator.
It shows market CONTEXT to help your own trading decisions.
Always use proper risk management and combine with your own analysis.
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🏷️ Tags: volume profile, sma, context, trend, neon, dark mode, poc, value area
Winners Scalper Pro - Bull/Bear (v1.5)best settings all standart but only change rsi
15 min rsi 8-9
30 min rsi 12-14
Daily Trend Scanner Plus█ DAILY TREND SCANNER PLUS
A professional-grade trading indicator designed to help traders quickly identify intraday trend bias across multiple symbols by tracking price relationships to key technical levels: Prior Day High/Low (PDH/PDL) and Pre-Market High/Low (PMH/PML).
█ FEATURES
► Single Symbol Table
Compact 5-column table displaying PDH, PMH, PDL, PML, and Trend status for the current chart symbol. Shows green dot (🟢) when price breaks above high levels and red dot (🔴) when price breaks below low levels. Progress bars visualize how close price is to breaking key levels.
► Multi Symbol Table
Monitor up to 20 tickers simultaneously in a single table. Each row displays ticker name, price, change %, breakout dots, progress bars, and trend status. Optional columns for actual PMH/PML and PDH/PDL price values. Real-time updates for all symbols with color-coded change percentages.
► Table Sorting
- None - Displays tickers in input order
- Chg % - Sorts by daily change percentage (highest to lowest)
- Bullish - Prioritizes bullish setups at top
- Bearish - Prioritizes bearish setups at top
► PMH/PML Lines (Pre-Market High/Low)
Horizontal lines at pre-market high and low levels (4:00 AM - 9:29 AM ET). Customizable line styles, colors, labels, and optional price display.
► PDH/PDL Lines (Prior Day High/Low)
Horizontal lines at previous trading day's high and low. Uses RTH only for stocks (9:30 AM - 4:00 PM ET) and full 24-hour day for non equities.
► ORB Lines (Opening Range Breakout)
Captures high and low during the opening period with 5-minute, 10-minute, or 30-minute options. Lines persist from market open until next pre-market session.
► EMA Overlays
Three independent EMAs with customizable periods (default: 8, 20, 200). Third EMA can be switched to SMA. Multiple line styles available.
► VWAP Overlay
Volume Weighted Average Price with customizable line style, width, and color.
█ TREND LOGIC
- BULLISH: Price above BOTH Prior Day High AND Pre-Market High
Indicates strong upward momentum breaking through two resistance levels
- BEARISH: Price below BOTH Prior Day Low AND Pre-Market Low
Indicates strong downward momentum breaking through two support levels
- NEUTRAL: Price not above both highs or below both lows
Price is consolidating between key levels
█ PROGRESS BARS
Visual 5-block meter showing progress from midpoint toward target level:
▓▓▓▓▓ (80-100%) → ▓▓▓▓▒ (60-80%) → ▓▓▓▒▒ (40-60%) → ▓▓▒▒▒ (20-40%) → ▓▒▒▒▒ (0-20%)
Replaced with 🟢 or 🔴 when level is actually broken.
█ ASSET TYPE HANDLING
STOCKS:
- Pre-Market: 4:00 AM - 9:29 AM Eastern
- Prior Day: RTH only (9:30 AM - 4:00 PM Eastern)
NON-EQUITIES:
- Prior Day: Full 24-hour trading day
- Automatically detected via symbol type
█ RECOMMENDED SETTINGS
- Chart Timeframe: 10-minute recommended for multi-table accuracy
- Timeframes 60 minutes or less required for ORB functionality
- Enable extended hours on chart for accurate PMH/PML on stocks
█ USAGE TIPS
- Use Bullish sort to find strongest breakout candidates for long trades
- Use Bearish sort to find weakest stocks for short/put candidates
- Progress bars help anticipate upcoming breakouts before they happen
- Combine with ORB lines to confirm trend direction after market open
- Watch for alignment: Price above all key levels = strongest bullish signal
- PDH/PDL breaks often signal continuation of prior day's trend
- PMH/PML breaks can indicate gap-fill or trend reversal setups
█ INDICATOR SETTINGS
█ EXAMPLE OF FULL MULTI TABLE AND SINGLE TABLE
█ MULTI-TABLE SORTING
█ PMH/PML, PDH/PDL, ORB LINES
█ EMA AND VWAP OVERLAYS
█ CUSTOMIZATION
Supertrend Nova Cloud [Pineify]Supertrend Nova Cloud
Overview
The Supertrend Nova Cloud is a sophisticated trend-following system designed to filter market noise and provide clear, actionable insights into market direction and volatility. By combining two distinct Supertrend calculations—the fast-acting "Nova" and the slower, more robust "Nebula"—this indicator creates a dynamic "Cloud" that visualizes the strength and stability of the current trend. It is engineered to help traders identify strong trending periods, potential pullbacks, and major reversals with greater confidence than a single Supertrend indicator.
Key Features
Dual-Trend Architecture: Utilizes a two-layer approach with a Fast (Nova) and Slow (Nebula) Supertrend to define market structure.
Dynamic Nova Cloud: A visual gradient fill between the two trendlines that adjusts its intensity ("Glow") based on the spread between the trends, representing market volatility.
Smart Candle Coloring: Candles are colored based on the consensus between the two trends, clearly distinguishing between strong trends, pullbacks, and recovery phases.
High-Quality Signals: Buy and Sell signals are filtered and only generated when the major (Slow) trend reverses, reducing false signals during chop.
Real-time Dashboard: An on-chart dashboard displays the current state of both the Nova and Nebula trends for instant analysis.
How It Works
The Supertrend Nova Cloud operates on the principles of Average True Range (ATR) volatility to determine trend direction.
Nova (Fast Trend): Calculated using a shorter ATR length (default 10) and a lower multiplier (default 2.0). This line reacts quickly to price changes, serving as an early warning system or trailing stop for aggressive entries.
Nebula (Slow Trend): Calculated using a longer ATR length (default 20) and a higher multiplier (default 4.0). This line defines the overall market bias and acts as significant support/resistance.
Cloud Gradient Logic: The script calculates the absolute difference (delta) between the Nova and Nebula lines. It compares this delta to its recent historical maximum to determine the opacity of the fill color. A wider spread (higher volatility) results in a brighter, more opaque cloud, while a narrow spread (consolidation) results in a more transparent cloud.
How multiple indicators work together
In trading, a single trend indicator often faces a dilemma: if it's too fast, it gives false signals; if it's too slow, it lags significantly. The Supertrend Nova Cloud solves this by combining both:
The Fast Supertrend captures immediate momentum and provides potential re-entry points during strong trends.
The Slow Supertrend acts as a filter. The script logic enforces that major reversal signals ("NOVA BUY/SELL") are only triggered when this slower, dominant trend changes direction.
By requiring the Slow trend to confirm the reversal, the indicator filters out the "noise" that would typically whip-saw a standard Supertrend.
Trading Ideas and Insights
Trend Riding: When the Cloud is fully Green (Strong Bull) or Red (Strong Bear), and the candles match this color, the trend is established. These are ideal conditions for holding positions.
Pullback Opportunities: If the candles turn a lighter shade (e.g., light red during an uptrend), it indicates the price has broken the Fast trend but holds above the Slow trend. This "Mixed" state often represents a buying opportunity in an uptrend (or selling in a downtrend).
Volatility Expansion: A widening cloud (brighter glow) indicates expanding volatility and often accompanies a strong breakout or trend acceleration.
Unique Aspects
Visual Volatility Feedback: Unlike standard fills, the "Nova Cloud" uses a custom algorithm to adjust transparency based on the relative distance between the two trendlines. This gives traders an intuitive sense of market expansion and contraction.
Nuanced State Detection: The script doesn't just show Up or Down. It identifies four states: Strong Bull, Strong Bear, Fast Bull/Slow Bear (Recovery), and Fast Bear/Slow Bull (Pullback), coding the candles accordingly.
How to Use
Entry: Look for "NOVA BUY" or "NOVA SELL" labels. These appear when the major trend (Nebula) flips, confirming a significant shift in market structure.
Stop Loss: The Nebula (thick) line serves as a robust trailing stop loss. As long as price holds beyond this line, the macro trend remains intact.
Re-Entry/Pyramiding: During a strong trend, if price dips into the cloud (changing candle color to mixed/neutral) and then resumes the trend color, it can be a valid re-entry signal.
Customization
Users can fully customize the indicator via the settings menu:
Nova & Nebula Settings: Adjust the ATR Length and Factor for both the Fast and Slow trends to tune sensitivity for different timeframes or assets.
Visuals: Toggle the Dashboard, Candle Coloring, and customize the colors for Bullish, Bearish, and Neutral states.
Conclusion
The Supertrend Nova Cloud offers a comprehensive visual interface for trend traders. By harmonizing two time horizons of volatility analysis into a single, cohesive display, it simplifies decision-making and helps traders stay on the right side of the major trend while identifying granular opportunities within it.
EMA Exhaustion + ContinuationA fast, mechanical scalping system that detects EMA exhaustion, filters with RSI, and manages exits plus continuations.
This indicator is designed for ultra‑short timeframe scalping, where speed and clarity matter more than anything else. It combines three core elements into one mechanical workflow:
- EMA Spread Exhaustion
The system measures the distance between fast and slow EMAs relative to ATR. When the spread reaches extreme levels and then begins to contract, it signals exhaustion — the point where momentum is likely to stall or reverse. This gives traders a structural way to identify setups without relying on subjective “feel.”
- RSI Filter (Accelerated for Scalping)
A shortened RSI (default length 7) is normalized by ATR to match the tempo of 15‑second scalps. This filter ensures that entries only trigger when momentum aligns with the exhaustion signal, reducing false positives and keeping trades in sync with volatility.
- Entry, Exit, and Continuation Logic
- Entries:
- Long entry triggers when spread retreats, EMA‑3 crosses price, and RSI confirms bearish exhaustion (RSI < 0).
- Short entry triggers under the opposite conditions (spread retreat, EMA‑3 cross, RSI > 0).
- Icons: Blue arrow up for longs, Red arrow down for shorts.
- Exits:
- Long exits occur when price closes below the 7 EMA smoothed by SMA‑2 while all EMAs are still sloping upward.
- Icon: Yellow cross above the candle.
- Continuations:
- Long continuation triggers when price dips below EMA‑9 and then reclaims above it.
- Short continuation triggers when price closes above EMA‑9 and then reclaims below it.
- Icons: Green triangle up for long continuation, Purple triangle down for short continuation.
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- Apply the indicator to your chart. I use 15 second chart
- Watch for blue/red arrows — these are your primary entry signals.
- Respect yellow crosses — they mark mechanical exit points.
- Use green/purple triangles to re‑engage continuation trades after shallow pullbacks. I only take the first continuation signal above/below the 20 EMA.
- Keep the RSI filter active to avoid chasing false setups.
- Combine with your risk management rules (position sizing, stop placement) for full system integrity.
25 EMA High-Low Band with 200 EMA by Basanta25 EMA High-Low Band with 200 EMA by Basanta.
This indicator is purely for Trend Trading by observing the Exponential moving average 200.
When the price is above EMA 200 it is considered Bullish and When the price is below EMA 200 it is considered Bearish. Entry will be made in pullback of 25 EMA.
VDUB Bands - MTF WMA+ATR Volatility Lanes (6 Alerts)VDUB Bands draws volatility-scaled “trend lanes” around a Weighted Moving Average (WMA) using ATR (or a WMA of True Range). It can display up to four tiers (L1–L4), with higher tiers sourced from higher timeframes to show local structure → higher-timeframe structure on a single chart.
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1. What it does (plain English)
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Think of each tier as a lane system around the trend:
• Inner rails = “normal volatility lane” around the WMA
• Outer rails = “extension / extreme zone” for that tier
• Higher tiers (L3/L4) show bigger structure
• Lower tiers (L1/L2) show active lane behavior
Typical interpretation:
• Price inside inner rails → normal variance around the trend lane
• Between inner and outer → stretched, but not extreme
• Outside outer rails → extended vs that tier’s volatility band
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2) Why it’s useful (and why it’s not a mashup)
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This is not a bundle of unrelated indicators. Everything serves one cohesive purpose:
• Visualize trend + volatility lanes across multiple time horizons
• Keep rails consistent and readable (levels, fills, outlines)
• Optional multi-timeframe aggregation for structure context
• A compact 6-alert set to catch key transitions without alert spam
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3) What you see on the chart
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For each level (L1–L4), you can show:
• Upper/Lower Inner rails
• Upper/Lower Outer rails
• Optional center fill (between outer rails) = operating range
• Optional MA line per tier (off by default to reduce clutter)
• Base WMA line (L1 MA) if enabled
Suggested workflow:
• Start with L1 + L2 only
• Add L3/L4 once you like the structure view
• Use Dynamic Opacity if the chart feels crowded
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4) How it works (transparent formula)
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For each tier:
• MA = WMA(source, baseLen × levelMultiplier)
• ATR_like = Wilder ATR (default)
OR WMA(TrueRange, atrLen × levelMultiplier)
Inner rails:
• upperInner = MA + ATR_like × innerMult
• lowerInner = MA - ATR_like × innerMult
Outer rails:
• upperOuter = MA + ATR_like × outerMult
• lowerOuter = MA - ATR_like × outerMult
Tier behavior:
• L1 uses the chart timeframe
• L2–L4 can use user-selected HTFs (defaults: 4H / D / W)
or optional auto-selection
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5) Multi-timeframe behavior + interpolation
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• L2–L4 use request.security() with lookahead OFF (no future data).
• HTF bands naturally “step” when the HTF candle confirms.
• Interpolate HTF Bands (optional): visually blends from the prior confirmed HTF value to the current confirmed HTF value to reduce stepping. This is display smoothing, not prediction.
Repaint note:
• If Live Interp (Repaints) is enabled, the HTF lines can update intrabar and may repaint. Keep it OFF for strict non-repainting behavior.
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6) Auto-select L2/L3/L4 (optional)
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Two modes:
A) Ladder (deterministic)
• Picks “bigger” timeframes relative to the chart (simple and fast).
B) Score (data-driven)
• Tests candidate timeframes and scores them using:
• Coverage: % of closes inside the OUTER band over Score Lookback
• Width: average outer-band width as a fraction of MA
• Targets: Target Coverage + Target Width
• Weights: Coverage Weight + Width Weight
Performance notes:
• Score mode is heavier (many candidates).
• “Lock auto-select after first pick” is recommended to reduce load and avoid platform limits.
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7) Alerts (6 total, aggregated across L1–L4)
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Alerts trigger if ANY tier meets the condition:
• Cross ABOVE an OUTER band
• Cross BELOW an OUTER band
• Cross ABOVE an INNER band
• Cross BELOW an INNER band
• Price is OUTSIDE ABOVE an OUTER band
• Price is OUTSIDE BELOW an OUTER band
These are intentionally aggregated to keep the alert count small while catching meaningful transitions.
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8) Limitations & transparency
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• Indicator only (not a strategy). No performance claims.
• MTF values update when the higher timeframe candle confirms.
• Interpolation is visual smoothing; it does not forecast.
• Non-standard chart types (Heikin Ashi/Renko/etc) may behave differently from standard candles.
• If you enable repainting options, signals/levels may change intrabar.
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9) Credits/reuse disclosure
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• Conceptual inspiration: VDUB and the community “VDUB_BINARY_PRO_3_V2” idea of WMA ± TR/ATR × multipliers.
• This version is a reimplementation + extension, adding:
o Multi-tier architecture (L1–L4)
o Higher-timeframe sourcing + optional interpolation
o Optional scoring-based timeframe selection
o Dynamic opacity + streamlined plotting
o Aggregated 6-alert set
No code was copied directly from the older script; this is a rewritten implementation with additional features and different structure.
www.tradingview.com
Trend Harmony🚀 Trend Harmony: Multi-Timeframe Momentum & Trend Dashboard
Trend Harmony is a sophisticated multi-timeframe (MTF) analysis tool designed to help traders identify high-probability setups by spotting "Market Harmony." Instead of flipping through charts, this indicator synthesizes RSI momentum and EMA trend structures from four different time horizons into a single, intuitive dashboard.
🔍 How It Works
The core philosophy of this indicator is that the most powerful moves happen when short-term momentum aligns with long-term trend structure. The script tracks four user-defined timeframes simultaneously.
1. The Trend Scoring Engine
The indicator evaluates the relationship between a Fast EMA (default 20) and a Slow EMA (default 50) across all active timeframes.
Bullish Alignment: Fast EMA > Slow EMA.
Bearish Alignment: Fast EMA < Slow EMA.
2. The Harmony Summary
At the bottom of the dashboard, the "Summary" status calculates the total "Harmony" of the market:
🚀 FULL BULL HARMONY: All selected timeframes are in a bullish trend.
📉 FULL BEAR HARMONY: All selected timeframes are in a bearish trend.
⚠️ CAUTION (Overbought/Oversold): Triggered when the market is in "Full Harmony" but RSI levels suggest the price is overextended (>70 or <30). This warns you not to "chase" the trade.
Neutral/Mixed: Timeframes are in conflict (e.g., 15m is bullish but Daily is bearish).
🛠 Key Features
Unified RSI Pane: View four RSI lines on one chart to spot divergences or "clusters" where all timeframes bottom out at once.
Dynamic Table: Real-time tracking of:
Price vs EMA: Instant visual (▲/▼) showing if price is above/below your key averages.
Smart RSI Coloring: RSI values turn Green during "Power Zones" (0–30 or 50–70) and Red otherwise.
Full Customization: Change timeframes (1m, 5m, 1H, D, etc.), EMA lengths, and RSI parameters to fit your strategy.
📈 Trading Strategy Tips
Wait for the Sync: The "Full Harmony" status is your signal that the "tide" is moving in one direction. Look for long entries when the status is Green and short entries when it is Red.
The Pullback Entry: When the summary says "Caution (Overbought)," wait for the RSI lines to cool down toward the 50 level before entering the trend again.
RSI Clustering: When all four RSI lines converge at extreme levels (30 or 70), a massive volatility expansion is usually imminent.
Accumulative Swing Cloud [MarkitTick]💡This indicator presents a modernized hybrid approach to J. Welles Wilder’s classical Accumulative Swing Index (ASI). While the traditional ASI is often viewed as a simple line oscillator used to confirm price breakouts, the Accumulative Swing Cloud reconstructs this concept into a dynamic trend-following system. By smoothing the raw ASI data into multiple moving average layers, this script creates a "Cloud" structure that visualizes the strength, direction, and momentum of the swing index, effectively treating the ASI value itself as a tradeable price action entity.
● Originality and Utility
The standard Accumulative Swing Index is a powerful tool for seeing through the "noise" of open, high, low, and close prices to find the real trend. However, looking at a raw ASI line can be jagged and difficult to interpret for sustained trends. This script innovates by applying "Cloud Dynamics" to the ASI. It calculates three distinct moving averages (Fast, Mid, and Slow) of the ASI value itself. The area between the Fast and Slow averages is filled with a dynamic gradient color. This allows traders to not only see the trend direction (Bullish or Bearish) but also gauge the volatility and strength of the move based on the expansion or contraction of the cloud's width. Additionally, this version introduces an optional Volume Integration feature, allowing the Swing Index calculations to be weighted by relative volume, giving more significance to moves backed by high market participation.
● Methodology and Calculations
The core of this indicator relies on the Swing Index calculation. It compares the current bar's Open, High, Low, and Close against the previous bar's values to derive a variable "R" (a measure of the market's range).
The script determines the largest price movement (K) among the High-Close, Low-Close, and High-Low ranges.
It calculates the "R" value based on the relationship between the daily range and the gap between the prior close and current open.
A Swing Index (SI) value is derived using the Limit Move value (T), the defined Multiplier, and the calculated R and K values.
This SI is accumulated into a running total (ASI State).
If Volume Integration is enabled, the SI is multiplied by a Volume Factor (Current Volume divided by Average Volume), capped at 3.0 to prevent outlier distortion.
● Visual Guide
The indicator plots several key visual elements on the chart:
Cloud Fast (Green Line): Represents the shorter-term moving average of the Accumulative Swing Index.
Cloud Slow (Red Line): Represents the longer-term moving average.
Cloud Fill (Gradient Area): The space between the Fast and Slow lines.
Green Gradient: Indicates the Fast MA is above the Slow MA (Bullish Trend).
Red Gradient: Indicates the Fast MA is below the Slow MA (Bearish Trend).
Gradient Intensity: The opacity of the color scales dynamically based on the width of the cloud relative to its recent historical maximum. A wider cloud (stronger trend/higher volatility) appears more solid, while a narrow cloud appears more transparent.
ASI Line (Color-Coded Line): The thick line represents the current raw Accumulative Swing Index value. It changes color (Green/Red) based on its position relative to the Signal Line.
Signal Line (Gray Line): A Simple Moving Average of the ASI Line, acting as a trigger for immediate reversals.
Bar Coloring: The main price candles are colored to match the current state of the Cloud (Green for Bullish Cloud, Red for Bearish Cloud).
● How to Use
Trend Identification: Use the Cloud color to determine the primary trend. A Green Cloud suggests an uptrending market structure, while a Red Cloud suggests a downtrend.
Entry Signals: Traders often look for the "ASI Line" to cross the "Signal Line" in the direction of the Cloud. For example, if the Cloud is Green, a crossover of the ASI Line above the Signal Line is a bullish confirmation.
Cloud Crossovers: A crossover of the Fast and Slow Cloud lines represents a major structural shift in the Accumulative Swing Index trend.
Volatility Filter: Pay attention to the gradient intensity. A very narrow (transparent) cloud indicates low momentum or consolidation, while a widening (solid) cloud indicates expanding momentum.
● Inputs and Settings
ASI Core Engine: Configure the Daily Limit (T) and Multiplier to tune the sensitivity of the Swing Index calculation.
Volume Integration: Toggle "Weight ASI by Volume" to factor in volume spikes. Adjust "Volume Avg Length" to define the baseline volume.
Cloud Dynamics: Choose the Moving Average type (EMA, SMA, RMA, WMA) and set the Fast, Mid, and Slow lengths to customize the cloud's reactivity.
Visual Enhancements: Toggle "Color Candles by Cloud Width" to apply the gradient coloring directly to the price bars.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Bear & Bull Builder // visual strategy builderAre you a trend follower?
Trend following systems have been a cornerstone of trading since the first candlestick charts were invented in 18th-century Japan by Munehisa Homma (or Honma), a legendary rice merchant who used them to analyze market sentiment and predict price movements. Since then, legendary traders like Richard Dennis and Dr. David Paul have used technical analysis—the study of turning points and trends of candlestick charts—to develop an edge and strategy for trading equity, commodity, and forex markets.
How to Utilize the Bear & Bull Builder
This script is a way to pick and choose technical methods like SMAs and EMAs to define trend exits and entries. Additionally, you can specify an ATR (Average True Range) calculated stop loss based on your individual strategy and trading plan. Within the settings panel, you can set up this script to display only Long Position values, zones, and levels—or configure it for shorts, or both.
What Makes This Original
Unlike most trend-following indicators that lock you into a single approach, this script lets you combine different indicator types (RSI, WaveTrend, CCI, EMA, SMA) across three separate trend timeframes. The originality comes from the flexibility: you can test whether momentum-based trends (like RSI) work better than moving averages for your timeframe, or experiment with mixing them together. The script also bridges the gap between manual trading and automation by providing visual position values and fill zones that show exactly where signals generate versus where orders execute—critical information most scripts ignore.
Getting Started
For this quick and easy setup example, I built a strategy that is long-only, displays only long positional data and values, and uses a 21 & 55 period exponential moving average for the short and medium-term trend in addition to an 89 period simple moving average for my longer-term outlook. I have set my ATR-based multiplier to 0.75, and have left the fill zone display turned on to help visualize when to set up the built-in alerts for automating my strategy. I have made this the default settings of the script.
Positional Values
GREEN NUMBERS → Entry signal price
YELLOW NUMBERS → Stop loss price
BLUE NUMBERS → Exit signal price
IMPORTANT
I cannot describe how useful it is to use TradingView's built-in Long and Short position tools! The whole reason for this script is that it is as manually friendly as it is automated—especially for backtesting. You can use the long position tool to measure exact profits and losses on individual trades for the strategies you build. This can really help you see clearly if you have built a system with positive expectancy.
Tables
1. Settings Display Table
Displays the trend types that are configurable in the settings panel. Shows if positional values for longs and shorts are currently displayed.
2. Back testing Table
Displays the total amount of long and short entry signals since the first bar of the chart. Additionally, it displays the average amount of bars per trade (time in trade).
Alerts & Automation
There are 4 built-in alerts for automating your strategy to an external server:
1.Long Entries
2.Long Exits
3.Short Entries
4.Short Exits
Since this script uses confirmed bar states for alert generation (to avoid repainting), all alerts and displayed position values (the green, yellow, and blue numbers) will be sent on the closing price. Each alert has a placeholder preset for further customization.
Technical Details
How the trend detection works:
Bullish state triggers when close > all three selected trends
Bearish state triggers when close < all three selected trends
Uses barstate.isconfirmed to prevent repainting
Stop loss calculation:
Long stops: highest_trend - (ATR × multiplier)
Short stops: lowest_trend + (ATR × multiplier)
ATR period is fixed at 20 bars, multiplier is user-adjustable
Entry placement logic:
Long entries execute at the highest value among the three selected trends
Short entries execute at the lowest value among the three selected trends
This ensures entries occur near the support/resistance created by the trend lines
Why calculate all indicators upfront:
The script calculates all five indicator types (EMA, SMA, RSI, CCI, WaveTrend) for all three trend lengths on every bar, then selectively uses the ones you choose in settings. This prevents Pine Script consistency warnings while maintaining flexibility.






















