Wolfe Waves [BigBeluga]🔵 OVERVIEW
The Wolfe Waves pattern was first introduced by Bill Wolfe , a trader and analyst in the 1980s–1990s who specialized in market geometry and natural rhythm cycles. Wolfe observed that price often forms symmetrical wave structures that anticipate equilibrium points where supply and demand meet. These formations, called Wolfe Waves , gained popularity as a reliable pattern for forecasting both short- and long-term reversals.
The Wolfe Waves indicator automatically detects these patterns in real time. It tracks sequences of five pivots (points 1 through 5) and connects them with wave lines. Users can select either Bullish or Bearish Wolfe Waves depending on their trading bias. When the pattern fails, the lines automatically turn red to highlight invalidation.
🔵 CONCEPTS
Five-Point Structure – Wolfe Waves are defined by five pivots (1–5), which together form the basis of the wave pattern.
Bullish Pattern – Occurs when price compresses downward into point 5, signaling a potential upside reversal.
Bearish Pattern – Occurs when price extends upward into point 5, forecasting a downside reversal.
Validation & Failure – The pattern is considered valid once all five pivots form; if price fails to respect the expected breakout, the indicator marks the structure as broken with red lines.
🔵 FEATURES
Automatic detection of Bullish and Bearish Wolfe Waves.
Labels each pivot (1–5) on the chart for clarity.
Draws connecting lines between pivots to visualize the wave structure.
Projects target/dashed lines (EPA/ETA) based on Wolfe Wave geometry.
Lines automatically turn red when the pattern is broken, giving immediate feedback.
Customizable color scheme for bullish (lime) and bearish (orange) waves.
Adjustable sensitivity for pivot detection.
🔵 HOW TO USE
Choose between Bullish or Bearish mode depending on your analysis.
Watch for the formation of all five pivots; the indicator labels them clearly.
Look for potential entries near point 5, with the expectation that price will travel toward the projected EPA line.
Use invalidation (lines turning red) as a risk management warning to exit failed setups.
Combine with momentum, volume, or higher-timeframe analysis to increase reliability.
🔵 CONCLUSION
The Wolfe Waves brings the classic Wolfe Wave theory into an automated TradingView tool. Inspired by Bill Wolfe’s original concept of natural market cycles, this indicator detects, labels, and validates Wolfe Waves in real time. With automatic invalidation marking and customizable settings, it offers traders a structured way to harness one of the most well-known geometric reversal patterns.
Indicators and strategies
Curved Radius Supertrend [BOSWaves]Curved Radius Supertrend — Adaptive Parabolic Trend Framework with Dynamic Acceleration Geometry
Overview
The Curved Radius Supertrend introduces an evolution of the classic Supertrend indicator - engineered with a dynamic curvature engine that replaces rigid ATR bands with parabolic, radius-based motion. Traditional Supertrend systems rely on static band displacement, reacting linearly to volatility and often lagging behind emerging price acceleration. The Curved Radius Supertend model redefines this by integrating controlled acceleration and curvature geometry, allowing the trend bands to adapt fluidly to both velocity and duration of price movement.
The result is a smoother, more organic trend flow that visually captures the momentum curve of price action - not just its direction. Instead of sharp pivots or whipsaws, traders experience a structurally curved trajectory that mirrors real market inertia. This makes it particularly effective for identifying sustained directional phases, detecting early trend rotations, and filtering out noise that plagues standard Supertrend methodologies.
Unlike conventional band-following systems, the Curved Radius framework is time-reactive and velocity-aware, providing a nuanced signal structure that blends geometric precision with volatility sensitivity.
Theoretical Foundation
The Curved Radius Supertrend draws from the intersection of mathematical curvature dynamics and adaptive volatility processing. Standard Supertrend algorithms extend from Average True Range (ATR) envelopes - a linear measure of volatility that moves proportionally with price deviation. However, markets do not expand or contract linearly. Trend velocity typically accelerates and decelerates in nonlinear arcs, forming natural parabolas across price phases.
By embedding a radius-based acceleration function, the indicator models this natural behavior. The core variable, radiusStrength, controls how aggressively curvature accelerates over time. Instead of simply following price distance, the band now evolves according to temporal acceleration - each bar contributes incremental velocity, bending the trend line into a radius-like curve.
This structural design allows the indicator to anticipate rather than just respond to price action, capturing momentum transitions as curved accelerations rather than binary flips. In practice, this eliminates the stutter effect typical of standard Supertrends and replaces it with fluid directional motion that better reflects actual trend geometry.
How It Works
The Curved Radius Supertrend is constructed through a multi-stage process designed to balance price responsiveness with geometric stability:
1. Baseline Supertrend Core
The framework begins with a standard ATR-derived upper and lower band calculation. These define the volatility envelope that constrains potential price zones. Directional bias is determined through crossover logic - prices above the lower band confirm an uptrend, while prices below the upper band confirm a downtrend.
2. Curvature Acceleration Engine
Once a trend direction is established, a curvature engine is activated. This system uses radiusStrength as a coefficient to simulate acceleration per bar, incrementally increasing velocity over time. The result is a parabolic displacement from the anchor price (the price level at trend change), creating a curved motion path that dynamically widens or tightens as the trend matures.
Mathematically, this acceleration behaves quadratically - each new bar compounds the previous velocity, forming an exponential rate of displacement that resembles curved inertia.
3. Adaptive Smoothing Layer
After the radius curve is applied, a smoothing stage (defined by the smoothness parameter) uses a simple moving average to regulate curve noise. This ensures visual coherence without sacrificing responsiveness, producing flowing arcs rather than jagged band steps.
4. Directional Visualization and Outer Envelope
Directional state (bullish or bearish) dictates both the color gradient and band displacement. An outer envelope is plotted one ATR beyond the curved band, creating a layered trend visualization that shows the extent of volatility expansion.
5. Signal Events and Alerts
Each directional transition triggers a 'BUY' or 'SELL' signal, clearly labeling phase shifts in market structure. Alerts are built in for automation and backtesting.
Interpretation
The Curved Radius Supertrend reframes how traders visualize and confirm trends. Instead of simply plotting a trailing stop, it maps the dynamic curvature of trend development.
Uptrend Phases : The band curves upward with increasing acceleration, reflecting the market’s growing directional velocity. As curvature steepens, conviction strengthens.
Downtrend Phases : The band bends downward in a mirrored acceleration pattern, indicating sustained bearish momentum.
Trend Change Points : When the direction flips and a new anchor point forms, the curve resets - providing a clean, early visual confirmation of structural reversal.
Smoothing and Radius Interplay : A lower radius strength produces a tighter, more reactive curve ideal for scalping or short timeframes. Higher values generate broad, sweeping arcs optimized for swing or positional analysis.
Visually, this curvature system translates market inertia into shape - revealing how trends bend, accelerate, and ultimately exhaust.
Strategy Integration
The Curved Radius Supertrend is versatile enough to integrate seamlessly into multiple trading frameworks:
Trend Following : Use BUY/SELL flips to identify emerging directional bias. Strong curvature continuation confirms sustained momentum.
Momentum Entry Filtering : Combine with oscillators or volume tools to filter entries only when the curve slope accelerates (high momentum conditions).
Pullback and Re-entry Timing : The smooth curvature of the radius band allows traders to identify shallow retracements without premature exits. The band acts as a dynamic, self-adjusting support/resistance arc.
Volatility Compression and Expansion : Flattening curvature indicates volatility compression - a potential pre-breakout zone. Rapid re-steepening signals expansion and directional conviction.
Stop Placement Framework : The curved band can serve as a volatility-adjusted trailing stop. Because the curve reflects acceleration, it adapts naturally to market rhythm - widening during momentum surges and tightening during stagnation.
Technical Implementation Details
Curved Radius Engine : Parabolic acceleration algorithm that applies quadratic velocity based on bar count and radiusStrength.
Anchor Logic : Resets curvature at each trend change, establishing a new reference base for directional acceleration.
Smoothing Layer : SMA-based curve smoothing for noise reduction.
Outer Envelope : ATR-derived band offset visualizing volatility extension.
Directional Coloring : Candle and band coloration tied to current trend state.
Signal Engine : Built-in BUY/SELL markers and alert conditions for automation or script integration.
Optimal Application Parameters
Timeframe Guidance :
1-5 min (Scalping) : 0.08–0.12 radius strength, minimal smoothing for rapid responsiveness.
15 min : 0.12–0.15 radius strength for intraday trends.
1H : 0.15–0.18 radius strength for structured short-term swing setups.
4H : 0.18–0.22 radius strength for macro-trend shaping.
Daily : 0.20–0.25 radius strength for broad directional curves.
Weekly : 0.25–0.30 radius strength for smooth macro-level cycles.
The suggested radius strength ranges provide general structural guidance. Optimal values may vary across assets and volatility regimes, and should be refined through empirical testing to account for instrument-specific behavior and prevailing market conditions.
Asset Guidance :
Cryptocurrency : Higher radius and multiplier values to stabilize high-volatility environments.
Forex : Midrange settings (0.12-0.18) for clean curvature transitions.
Equities : Balanced curvature for trending sectors or momentum rotation setups.
Indices/Futures : Moderate radius values (0.15-0.22) to capture cyclical macro swings.
Performance Characteristics
High Effectiveness :
Trending environments with directional expansion.
Markets exhibiting clean momentum arcs and low structural noise.
Reduced Effectiveness :
Range-bound or low-volatility conditions with repeated false flips.
Ultra-short-term timeframes (<1m) where curvature acceleration overshoots.
Integration Guidelines
Confluence Framework : Combine with structure tools (order blocks, BOS, liquidity zones) for entry validation.
Risk Management : Trail stops along the curved band rather than fixed points to align with adaptive market geometry.
Multi-Timeframe Confirmation : Use higher timeframe curvature as a trend filter and lower timeframe curvature for execution timing.
Curve Compression Awareness : Treat flattening arcs as potential exhaustion zones - ideal for scaling out or reducing exposure.
Disclaimer
The Curved Radius Supertrend is a geometric trend model designed for professional traders and analysts. It is not a predictive system or a guaranteed profit method. Its performance depends on correct parameter calibration and sound risk management. BOSWaves recommends using it as part of a comprehensive analytical framework, incorporating volume, liquidity, and structural context to validate directional signals.
KDJKDJ指标（又称随机指标）通常被归类为振荡指标 (Oscillators) 或 动量指标 (Momentum Indicators)。
Of course. Here is a description of the KDJ indicator in English.
KDJ Indicator (Stochastic Oscillator)
The KDJ indicator is a momentum oscillator used in technical analysis to identify overbought and oversold conditions in a market, as well as to spot potential trend reversals. It's an extension of the classic Stochastic Oscillator and is particularly popular among traders in Asian markets.
The indicator consists of three lines:
* %K Line (The Fast Line): This line measures the current closing price relative to the high-low range over a specified period (typically 9 periods). It shows the immediate momentum of the asset.
\%K = 100 \times \frac{C - L_n}{H_n - L_n}
Where:
* C = Current Closing Price
* L_n = Lowest low over the last 'n' periods
* H_n = Highest high over the last 'n' periods
* %D Line (The Slow Line): This is a simple moving average (SMA) of the %K line (typically a 3-period SMA). It smooths out the fluctuations of the %K line and provides more reliable trading signals.
* J Line: The J line represents the divergence between the %D line and the %K line. It is more sensitive than the other two lines and can provide earlier signals. It is calculated as:
How to Interpret the KDJ Indicator:
* Overbought & Oversold Conditions:
* Overbought: When the KDJ lines rise above 80, it suggests the asset is overbought and the price might be due for a correction downwards. A sell signal is often generated when the lines cross back below 80.
* Oversold: When the KDJ lines fall below 20, it suggests the asset is oversold and the price may be poised for a rebound. A buy signal is often generated when the lines cross back above 20.
* The J line can go above 100 (extreme overbought) or below 0 (extreme oversold), indicating a very strong momentum that might precede a sharp reversal.
* Crossovers (Crosses):
* Golden Cross (Bullish Signal): When the %K line crosses above the %D line, especially in the oversold area (below 20), it is considered a strong buy signal.
* Death Cross (Bearish Signal): When the %K line crosses below the %D line, particularly in the overbought area (above 80), it is considered a strong sell signal.
* Divergence:
* Bullish Divergence: If the asset's price makes a new lower low, but the KDJ indicator makes a higher low, it signals that the downward momentum is weakening and a potential price reversal to the upside is coming.
* Bearish Divergence: If the asset's price makes a new higher high, but the KDJ indicator makes a lower high, it suggests that the upward momentum is fading and a potential price reversal to the downside may occur.
In summary, the KDJ is a versatile momentum indicator that helps traders identify short-term entry and exit points by analyzing an asset's price momentum.
MoneyMaker AI💰MoneyMaker AI — Advanced Market Reaction & Trade Management System
MoneyMaker AI is a next-generation, all-in-one trading system built to identify high-probability entry zones, dynamically calculate stop loss and target levels, and automate trade management — all while presenting data in a clean, visual, and intuitive format.
It’s engineered for traders who want structure, precision, and automation in one compact indicator.
⚙️ Core Features
🎯 Smart Entry System
• Detects real-time trend shifts and momentum changes to plot LONG and SHORT opportunities.
• Works across all markets — crypto, stocks, indices, and forex.
• Designed to adapt across multiple timeframes without repainting signals.
📉 Dynamic Risk Management (Auto TP & SL)
• Automatically calculates Take Profit (TP) and Stop Loss (SL) levels based on ATR volatility and recent pivot highs/lows.
• Ensures realistic target placement for both trending and ranging markets.
• Automatically adjusts line and label placement for visual clarity.
💹 Partial Profit Detection
• Built-in Partial TP logic identifies when price first reaches the profit zone.
• Prints “Partial TP” labels directly on the chart and triggers real-time alerts — helping traders secure early profits even in fast markets.
📊 Real-Time Trade Stats Table
• Tracks performance for each month — showing Total Trades, Wins, Losses, and Net Profit/Loss in percent.
• Color-coded results: green for profit months, red for loss months.
• Updated live at the close of each bar.
🔔 Built-In Alerts (Preconfigured)
Easily automate notifications or bot integrations via TradingView’s alert system.
• Long Entry
• Short Entry
• Partial TP Long / Short
• Exit Long / Short
• SL Long / Short
📈 Fibonacci Pivot Points (Adaptive)
• Optional Fibonacci Pivot Point levels for daily, weekly, or monthly reference zones.
• Automatically adapts to your chart timeframe:
• ⏱️ Below 15-minute = Daily pivots
• 📆 15-minute to 4-hour = Weekly pivots
• 🕒 Above 4-hour = Monthly pivots
• Perfect for identifying potential support/resistance or reversal zones.
🧠 How It Works
1.The system detects a directional bias shift and confirms a valid LONG or SHORT signal.
2.It calculates TP/SL automatically using volatility and structure-based pivots.
3.If price reaches the first profit zone, a Partial TP is printed — signaling an early gain.
4.The position is monitored continuously until an Exit or SL condition is met.
5.All results are stored in the live performance tracker for transparent trade evaluation.
🪄 Ideal For
• Traders who prefer rule-based systems over subjective decisions.
• Swing and intraday traders looking for visual clarity with complete automation.
• Those who want integrated alerts, pivots, and trade management in one tool.
⚡ Key Highlights
• 100% non-repainting logic for reliable signals.
• Works seamlessly with all assets and timeframes.
• Clean visualization with optional lines, labels, and pivot toggles.
• Designed for professional use — simple for beginners, powerful for advanced traders.
🧩 Recommended Settings
• Use default ATR & RSI values for optimal balance between responsiveness and stability.
• For shorter timeframes (1m–15m), prefer “Open Next” as entry price for real-time signal alignment.
• Enable Fibonacci pivots for confirmation zones around entries/exits.
Show current ADR from last previous peakCalculates ADR over a 21 day average
Allows you to manually enter the price of a previous peak
Shows current ADR
ZS Master Vision Pro - Advanced Multi-Timeframe Trading SystemZS MASTER VISION PRO - PROFESSIONAL TRADING SUITE
Created by Zakaria Safri
A comprehensive, all-in-one trading system combining multiple proven technical analysis methods into a single, powerful indicator. Designed for traders who demand precision, clarity, and actionable signals across all timeframes.
KEY FEATURES
CORE TREND ALGORITHM
Adaptive ATR-based trend detection with dynamic support and resistance zones. Features Type A and Type B signal modes for different trading styles, strong signal detection in key reversal zones, and optional EMA source smoothing for noise reduction.
MULTI-LAYER EMA CLOUD SYSTEM
Five customizable EMA cloud layers for multi-timeframe analysis with theme-adaptive color coding across five professional themes. Optional line display for detailed MA tracking with configurable periods from scalping to position trading.
WAVE TREND OSCILLATOR
Advanced momentum oscillator with channel-based calculations featuring smart reversal detection at extreme overbought and oversold levels. Includes directional strength confirmation and customizable sensitivity with adjustable reaction periods.
DIVERGENCE SCANNER
Detects four types of divergence automatically:
- Regular Bullish: Price making lower lows while oscillator making higher lows
- Regular Bearish: Price making higher highs while oscillator making lower highs
- Hidden Bullish: Trend continuation signals in uptrends
- Hidden Bearish: Trend continuation signals in downtrends
Automatic fractal-based detection with clear visual labels on chart.
MARKET BIAS INDICATOR
Heikin Ashi-based trend strength analysis with real-time bias calculation showing Bullish or Bearish combined with Strong or Weak conditions. Smoothed for cleaner signals and perfect for trend confirmation.
MOMENTUM SYSTEM
Proprietary momentum calculation using adaptive smoothing with growing and falling state detection. Normalized values for consistent interpretation and responsive to rapid market changes.
DYNAMIC SUPPORT AND RESISTANCE
Automatic pivot-based support and resistance level detection with adjustable left and right bar lookback. Non-repainting levels with visual clarity through color-coded lines.
LIVE INFORMATION DASHBOARD
Real-time market analysis panel displaying current trend direction, market bias based on Heikin Ashi, Wave Trend status and value, and momentum trend with state. Customizable display options with theme-adaptive colors.
VISUAL CUSTOMIZATION
FIVE PROFESSIONAL COLOR THEMES:
Pro - Modern green and red color scheme (default)
Classic - Traditional teal and red combination
Cyberpunk - Neon cyan and magenta contrast
Ocean - Blue and orange contrast
Sunset - Gold and red warmth
SIGNAL STYLES:
Labels with emoji indicators (BUY with rocket, SELL with bear, STRONG with lightning)
Arrows for clean minimal appearance
Triangles for classic approach
DISPLAY OPTIONS:
Color-coded candles following trend direction
Trend background highlighting for instant trend recognition
Optional EMA line display for detailed analysis
Adjustable transparency levels for personal preference
SMART ALERTS
Pre-configured alert conditions for all major signals:
Buy signals for standard entry opportunities
Sell signals for standard exit or short opportunities
Strong buy signals for high-confidence long entries
Strong sell signals for high-confidence short entries
Bullish divergence detection alerts
Bearish divergence detection alerts
Alert messages automatically include ticker symbol, current price, and specific signal type for quick decision making.
HOW TO USE
FOR TREND TRADERS:
Enable EMA Clouds with focus on Cloud 5 featuring 50 and 200 period moving averages. Wait for trend background color change to confirm direction. Enter on STRONG signals aligned with higher timeframe trend direction. Use support and resistance levels for strategic exits.
FOR SWING TRADERS:
Enable Wave Trend Oscillator information display. Look for oversold and overbought reversal setups. Confirm potential reversals with divergence scanner. Enter on smart reversal signals with proper risk management.
FOR SCALPERS:
Use Type B signal mode for more frequent trading signals. Enable Cloud 1 with 5 and 13 periods for quick trend confirmation. Focus on momentum growing and falling states for entry timing. Take quick entries on regular buy and sell signals.
FOR POSITION TRADERS:
Use Type A mode with higher ATR multiplier set to 3.0 or above. Enable only Cloud 5 with 50 and 200 periods for major trend confirmation. Only take STRONG signals for highest probability setups. Hold positions through minor pullbacks and noise.
RECOMMENDED SETTINGS
STOCKS ON DAILY TIMEFRAME:
Trend Period: 180
ATR Period: 155
ATR Multiplier: 2.1
Signal Mode: Type A
FOREX ON HOURLY AND 4-HOUR TIMEFRAMES:
Trend Period: 150
ATR Period: 120
ATR Multiplier: 2.5
Signal Mode: Type A
CRYPTOCURRENCY ON 15-MINUTE AND 1-HOUR TIMEFRAMES:
Trend Period: 100
ATR Period: 80
ATR Multiplier: 3.0
Signal Mode: Type B
SCALPING ON 1-MINUTE AND 5-MINUTE TIMEFRAMES:
Trend Period: 50
ATR Period: 40
ATR Multiplier: 2.0
Signal Mode: Type B
WHAT IS INCLUDED
Trend Analysis using ATR-based adaptive algorithm
Five EMA Cloud Layers for multi-timeframe confluence
Wave Trend Oscillator for momentum and reversal detection
Divergence Scanner detecting four types of divergence
Market Bias using Heikin Ashi-based trend strength
Momentum System with advanced momentum tracking
Support and Resistance Levels with automatic pivot detection
Live Dashboard showing real-time market analysis
Smart Alerts featuring six pre-configured alert types
Five Color Themes offering professional visual options
TECHNICAL DETAILS
CALCULATION METHODS:
Average True Range (ATR) for volatility adaptation
Exponential Moving Average (EMA) and Simple Moving Average (SMA) for trend smoothing
Wave Trend channel oscillator for momentum analysis
Fractal-based divergence detection algorithm
Heikin Ashi transformation for bias calculation
Logarithmic momentum calculation for precision
PERFORMANCE CHARACTERISTICS:
Optimized for maximum speed and efficiency
No repainting signals ensuring reliability
Works on all timeframes from 1 minute to monthly
Compatible with all instruments including stocks, forex, crypto, and futures
RISK DISCLAIMER
This indicator is a technical analysis tool and should not be used as the sole basis for trading decisions. Always use proper risk management and never risk more than you can afford to lose. Combine with other analysis methods and practice on demo accounts first. Past performance does not guarantee future results. Trading carries substantial risk and is not suitable for all investors.
SUPPORT AND UPDATES
Regular updates and continuous improvements
Based on proven technical analysis principles
Developed following Pine Coders best practices and standards
Clean, well-documented, and optimized code structure
WHY CHOOSE ZS MASTER VISION PRO
All-in-one solution eliminating the need for multiple indicators
Highly customizable to adapt to your specific trading style
Professional grade analysis with institutional-quality standards
Clean interface that is not cluttered or confusing
Works everywhere across all markets and all timeframes
Smart signals filtered for quality over quantity
Beautiful design featuring five professional color themes
Active development with regular improvements and updates
Transform your trading with ZS Master Vision Pro today.
Version 2.0 | Created by Zakaria Safri | Pine Script Version 5
Sri-VWAP CTF)Title: Sri-VWAP CTF
Description:
The Sri-VWAP CTF indicator is a customizable Volume Weighted Average Price (VWAP) tool designed to provide clear trend insight across multiple timeframes. It allows traders to plot VWAP from a higher or custom timeframe directly onto their chart, giving a more precise perspective of price action and market bias.
Key Features:
Custom VWAP Period: Choose the period over which VWAP is calculated to suit your trading style.
Custom Timeframe (CTF): Plot VWAP from any timeframe (e.g., 15-min, 30-min, 1-hour, daily) onto your current chart.
Flexible Plot Modes:
Show only on HTF bars – VWAP is visible only on higher timeframe bars.
Hold between HTF bars – VWAP is carried forward between higher timeframe bars for continuous reference.
Smooth Integration: VWAP is calculated using typical price and volume, giving a dynamic average price that reflects market flow.
Clear Visualization: High-contrast teal line for easy identification on any chart.
Recommended Use:
Identify intraday support and resistance based on VWAP from higher timeframes.
Gauge market bias and confirm trend direction.
Combine with other technical indicators for enhanced decision-making.
Pros:
Easy to read and interpret.
Supports multi-timeframe analysis.
Lightweight and efficient for any chart type.
Inputs for Users:
VWAP Period – Number of bars to calculate VWAP.
Custom Timeframe – Select any timeframe to reference VWAP.
Plot Mode – Choose how the VWAP is displayed between higher timeframe bars.
Note: This indicator overlays directly on your chart and adapts dynamically to price and volume changes on the selected timeframe.
SuperTrend MAAfter building SuperBands, I kept thinking about what happens at the midpoint between those two volatility-adaptive envelopes. The upper and lower bands are both trailing price based on ATR and EMA smoothing, but they're operating independently in opposite directions. Taking their average seemed like it might produce an interesting centerline that adapts to volatility in a way that regular moving averages don't. Turns out it does, and that's what this indicator is.
The core concept is straightforward. Instead of plotting the upper and lower SuperBands separately, this calculates both of them internally, averages their values, and then applies an additional smoothing pass with EMA to create a single centerline. That centerline sits roughly in the middle of where the bands would be, but because it's derived from ATR-offset trailing stops rather than direct price smoothing, it behaves differently than a standard moving average of the same length. During trending periods, the centerline tracks closer to price because one of the underlying bands is actively trailing while the other is dormant. During consolidation, both bands compress toward price and the centerline tends to oscillate more with shorter-term movements.
What's interesting is that this acts like a supertrend all by itself with directional behavior baked in. When one of the underlying supertrend waves dominates, meaning price is strongly trending in one direction and only one band is active, you get what feels like a "true" supertrend, whatever that means exactly. The centerline locks into trend-following mode and the color gradient reflects that commitment. You get bright bullish colors during sustained uptrends when the upper band is doing all the work, and strong bearish colors during downtrends when the lower band dominates. But when both bands are active and fighting for control, which happens during consolidation or choppy conditions, the centerline settles into more neutral tones that clearly signal you're in a ranging environment. The colors really do emphasize this behavior and make it visually obvious which regime you're in.
The smoothing parameter controls how aggressively the underlying SuperBand trails adapt to price, which indirectly affects how responsive the centerline is. Lower values make the bands tighter and more reactive, so the centerline follows price action more closely. Higher values create wider bands that only respond to sustained moves, which produces a smoother centerline that filters out more noise. The center smoothing parameter applies a second EMA pass specifically to the averaged midpoint, giving you independent control over how much additional lag you want on the final output versus the raw band average.
What makes this different from just slapping an EMA on price is that the underlying bands are already volatility-aware through their ATR calculations. When volatility spikes, the bands widen and the centerline adjusts its position relative to price based on where those bands settle. A traditional moving average would just smooth over the volatility spike without adjusting its distance from price. This approach incorporates volatility information into the centerline's positioning, which can help it stay relevant during regime changes where fixed-period moving averages tend to lag badly or whipsaw.
The color gradient adds a momentum overlay using the same angle-based calculation from SuperBands. The centerline's rate of change gets normalized by an RMS estimate of its historical movement range, converted to an angle through arctangent scaling, and then mapped to a color gradient. When the centerline is rising, it gradients from neutral toward your chosen bullish color, with brightness increasing as the rate of ascent steepens. When falling, it shifts toward the bearish color with intensity tied to the descent rate. This gives you an immediate visual sense of whether the centerline is accelerating, decelerating, or moving at a stable pace.
Configuration is simpler than SuperBands since you're only dealing with a single output line instead of separate bull and bear envelopes. The length parameter controls the underlying band behavior. ATR period and multiplier determine how much space the bands allocate around price before they trail. Center smoothing adds the extra EMA pass on the averaged midpoint. You can tune these independently to get different characteristics. A tight ATR multiplier with heavy center smoothing creates a smooth line that stays close to price. A wide multiplier with light center smoothing produces a line that swings more freely and adapts faster to directional changes.
From a practical standpoint, this works well as a trend filter or dynamic support and resistance reference. Price above the centerline with bullish coloring suggests a favorable environment for long positions. Price below with bearish coloring indicates the opposite. Crossovers can signal trend changes, though like any moving average system, you'll get whipsaws in choppy conditions. The advantage over traditional MAs is that the volatility adaptation tends to reduce false signals during transitional periods where volatility is expanding but direction hasn't fully committed.
The implementation reuses the entire SuperBands logic, which means all the smoothing and state management for the trailing stops is identical. The only addition is averaging the two band outputs and applying the final EMA pass. The color calculation follows the same RMS-normalized angle approach but applies it to the centerline's delta rather than the individual band deltas. This keeps the coloring consistent with how SuperBands handles momentum visualization while adapting it to a single line instead of dual envelopes.
What this really highlights is that you can derive moving averages from mechanisms other than direct price smoothing. By building the centerline from volatility-adjusted trailing stops, you get adaptive behavior that responds to both price movement and volatility regime without needing separate inputs or complex multi-stage calculations. Whether that adaptation provides a meaningful edge depends on your strategy and market, but it's a fundamentally different approach than the typical fixed-period or adaptive MAs that adjust length based on volatility or momentum indicators.
TRADE ORBIT:-RSI Multi-Timeframe DashboardThis indicator displays RSI (Relative Strength Index) values across multiple timeframes in a convenient dashboard directly on your chart. It provides an at-a-glance view of market momentum from 3-month down to 5-minute charts, making it ideal for swing trading, intraday trading, and scalping strategies.
Features:
Calculates RSI for the following timeframes:
3-Month (3M)
Monthly (M)
Weekly (W)
Daily (D)
Hourly (60 min)
15-Minute
5-Minute
Highlights RSI zones with background colors for quick visual interpretation:
Strong Overbought: > 70 (Blue)
Mild Overbought: 60.1–70 (Green)
Neutral Zone: 40–60 (Yellow)
Mild Oversold: 30–39.9 (Red)
Strong Oversold: < 30 (Black)
orb ramgethis indicator is very fake please dont fololow it this indicator is very fake please dont fololow it this indicator is very fake please dont fololow it
Global Crash & Rally IndicatorGlobal Crash & Rally Indicator for TradingView:
Detect Market Crashes and Rallies with Precision
Unlock the Power of Global Market Insights:
Your Ultimate Stock Market Crash Detector and Rally Signal Tool 📈⚠️
In the volatile world of stock trading, staying ahead of market crashes and spotting rally opportunities can make all the difference between massive gains and devastating losses.
The Global Crash & Rally Indicator – a cutting-edge TradingView Pine Script tool, has been designed to monitor global financial signals in real-time. Whether you're a day trader, swing trader, or long-term investor, this indicator acts as your early warning system for potential market downturns and upswings, helping you navigate the complexities of the stock market with confidence.
Traders often search "stock market crash indicator," "global rally detector," "TradingView crash alert," and "market volatility tool,", this indicator ends your endless search and is a must-try for serious traders who want to protect their portfolio and capitalize on bullish/bearish trends.
What Makes the Global Crash & Rally Indicator Stand Out? 🚀
This advanced indicator goes beyond basic price analysis by integrating a wide array of global economic and market factors. It scans for signs of stress across major indices, volatility measures, currency movements, and commodity prices to provide a comprehensive view of market health. Here's what you can expect:
Real-Time Crash Warnings ⚠️ :
Get alerted to potential market crashes through color-coded signals – from watchful orange alerts to critical red crisis modes. It identifies emerging risks early, giving you time to adjust your positions.
Rally Detection for Bullish Opportunities 📈 :
Not just a downside protector, this tool highlights bullish regimes with green signals, spotting when markets are poised for strong upward moves. Ideal for identifying entry points during recoveries or bull runs and tells you when you can stay in the trade.
Multi-Factor Analysis 🔍 :
it monitors key global elements like volatility spikes, yield changes, risk-off assets, breadth metrics, and more – all without overwhelming you with data. The intuitive table UI displays metrics, values, risks, and notes in an easy-to-read format.
Probability Estimates 📊 :
The probability model of this Indicator offers probabilistic insights into downside and upside risks, helping you gauge the likelihood of market moves with percentage-based forecasts.
Customizable Alerts 🔔 :
Set up notifications for crash cautions, crisis starts, rally watches, and rally go signals by setting up just 01 alert. Perfect for day trading strategies or manual oversight.
Optimized for Traders ⚙️:
Whether searching for "best TradingView indicator for market crashes" or "global stock rally scanner," this tool ranks high in utility, delivering actionable insights tailored to US and international markets.
With its focus on intraday timeframes (like 5-min, 15-min, or 60-min charts), the indicator is versatile for use on major indices such as SPX, VIX, DXY, and beyond. It's built to handle up to 5000 bars back, ensuring historical accuracy without performance lags.
How to Use the Global Crash & Rally Indicator on TradingView 🛠️
Add to Your Chart: Search for "Global Crash & Rally Indicator" in TradingView's indicator library and apply it to your preferred chart (e.g., SPX or ES futures).
Customize Settings: Adjust inputs like analysis timeframe, thresholds for warnings, and optional filters (e.g., currency jumps) to fit your trading style. Enable 3-of-4 warning mode for stricter signals.
Interpret the Signals:
Background Colors: Green for safe/bullish, orange for warnings, red for crises.
Table Breakdown:
Check the on-chart table for detailed metrics on VIX changes, breadth, basis stress, and macro health.
Alerts:
Use the built-in alert conditions to get notified via email, app, or webhook when key events trigger.
Combine with Strategies:
Pair it with your favorite oscillators, moving averages, or volume indicators for enhanced decision-making in forex, stocks, crypto, or commodities.
No need for complex setups –
it's plug-and-play, yet powerful enough for professional traders monitoring global events.
Why Traders Love This Market Volatility Tool ❤️
Imagine having a "sixth sense" for when the market is about to crack or soar. Users rave about its ability to flag hidden risks that traditional indicators miss, such as subtle shifts in market depth or global macro stress. It's not just a crash detector; it's a rally detector too, helping you ride waves of optimism while sidestepping pitfalls.
In an era of geopolitical tensions, economic uncertainties, and rapid news cycles, this indicator empowers you to trade smarter. It's SEO-friendly for discovering terms like "best indicator for detecting stock market rallies" or "global financial crash predictor," ensuring you find the edge you need.
Best Features and Rating 🤖
Various AI tools rate its best features to be its holistic multi-factor approach that blends volatility, breadth, and macro signals into a seamless, probabilistic framework, plus the user-friendly table UI that makes complex data meaningful at a glance.
Join the Conversation! 💬
What are your thoughts on the Global Crash & Rally Indicator? Have you spotted any crashes or rallies using similar tools? Share your experiences, strategies, or questions in the comments below – let's discuss and help each other thrive in the markets! Get connected for a free trial via contact method mentioned in our profile page.
Phoenix Smart ZoneThe Golden Trend Cloud Indicator is a professional trend-identification tool that combines Ichimoku Cloud with a 20-period Moving Average (MA20) to clearly define the market’s dominant direction.
It visually highlights bullish and bearish momentum using dynamic support and resistance zones derived from the Kumo cloud structure.
Teckmann Ribbon ScalperA scalping indicator is a technical tool designed to provide quick, high-probability trade signals in short timeframes, typically 1–5 minutes. It identifies immediate market opportunities by detecting rapid price movements, trend direction, and potential reversals. Common features include moving average crossovers, momentum oscillators, and price action patterns, often enhanced with visual cues like arrows or alerts for instant buy or sell entries. The goal is to maximize small, frequent profits while minimizing exposure to market noise.Follow the signal at the close of 2nd or 3rd candle after the ribbon changes.
ADX MA Filter for Choppy MarketsA clear way to see expanding markets and identify contracting markets or chop
Trí Nguyễn TrendM30 → M15 Reversal (Engulfing/Doji/Hammer)Trend follow M30
Entry M15 (Engulfing/Doji/Hammer)
EDGAR Signal System (ESS)
EDGAR SIGNAL SYSTEM (ESS)
This indicator is designed for clear institutional-level trade signals using daily reference levels to guide entries across all timeframes.
It combines three core systems in one:
📊 Daily Base Line — detects key institutional zones where price is likely to react or revers
🎯 Precision Signals — generates BUY/SELL labels only when price aligns with institutional levels
With the ESS System, you no longer need to guess market direction — it highlights real-time signals where price respects institutional zones, allowing you to synchronize your entries with professional trading levels.
TRADING RULES:
BUY when:
There is a "BUY" label
Price is BELOW the blue base line
SELL when:
There is a "SELL" label
Price is ABOVE the blue base line
WAIT when:
No signal present, OR
Signal and base line position don't match
Dashboard Guide:
SIGNAL: Shows current BUY/SELL/WAIT status
POSITION: Shows if price is ABOVE/BELOW base line
Green = Good for entry
Red = Good for exit
Orange = Wait for better setup
KAB 1.2 Beta🚀 KAB 1.2 Indicator by Lastkingkoby 📈
Unlock the power of smart trading with KAB 1 – your ultimate all-in-one tool for spotting 🔑 support/resistance levels and generating 💰 gold-standard buy/sell signals! Crafted by Koby A. Brown (@Lastkingkoby), this Pine Script v5 indicator overlays directly on your charts for seamless analysis. Perfect for traders hunting for high-probability setups in volatile markets! 🌟
🔰 Key Features:
Dynamic Support & Resistance Lines 🛡️⚔️:
Automatically draws robust S/R lines using a blend of RSI, CMO (based on HMA), and pivot calculations. Watch lines evolve in real-time – they break on breaches 🚧, count bounces 🔄, and even flip roles (e.g., support turns resistance) when conditions change! Customizable timeframe for multi-TF precision. Labels show "Support Line" or "Flipped Res" with color-coded vibes (green for support 💚, orange for resistance 🟠).
Gold Prediction & Signals 🔮💹:
Powered by a sophisticated range filter with smoothed averages and multipliers, it detects trends with upward/downward counters. Get clear bar colors: lime for strong buys 🟢, red for sells 🔴, and more! Signals include:
Buy/Long 💸: Bullish conditions with SL suggestions based on lower bands.
Sell/Short 🐻: Bearish triggers with SL from upper bands.
Warning Alerts ⚠️: Spots potential failed bounces (e.g., "Short Warn" or "Long Warn") to avoid traps – ideal for risk management!
Visuals & Alerts 📊🚨:
Enjoy colorful plots: filter line in green/red/orange 🎨, high/low bands in aqua/fuchsia with translucent fills 🌈. Bar colors highlight momentum shifts. Set up alerts for new S/R lines, buys, sells, and warnings – never miss a move!
📝 How to Use:
Add to your chart and tweak inputs like S/R Timeframe, Gold Period (default 100), or Range Coeff (default 5.0) for your style.
Look for confluences: Buy near flipped support 💪, sell at resistance breakdowns 📉.
Combine with your strategy for crypto, forex, or stocks – it's overlay-friendly!
Pro Tip: Use on higher timeframes for major levels, lower for intraday scalps. Trade smart, stay profitable! 🤑📉
© Koby "Lastkingkoby" Brown – Elevate your game today! 🚀
Z-Signal Pro: RSI+BBThe indicator utilizes RSI and Bollinger Bands, incorporates additional logic to filter out noisy signals, and produces long and short entries.
Trader Jumblo Apex Pro Signal — Confirmed The Trader Jumblo Apex Signal Pro indicator is a precision-based market reversal tool designed to identify potential turning points in price with a strong confirmation logic.
Unlike standard momentum or crossover systems, this tool focuses on confirmed reaction zones, allowing traders to anticipate high-probability shifts in market direction.
Built with adaptive multi-filter logic and confirmation weighting, it minimizes false signals and only triggers entries under specific structural conditions.
The indicator integrates dynamic volatility levels for automatic stop-loss and take-profit projection using a fixed risk-reward calibration (2:4), maintaining consistency and discipline in trade management.
Key Features:
• Smart confirmation logic for precision entries
• Adaptive 2:4 risk-reward framework
• Automatic SL/TP projection
• Candle-confirmation filtering for stronger setups
• Fully compatible with alerts (BUY, SELL, TP, SL)
Best used on: 1-5 minute or 15-minute charts for short-term confirmation trading.
⚠️ Note: This tool is optimized for traders who prioritize precision entries over frequent signals. Each signal represents a confirmed market reaction — not a predictive guess.
A precision reversal confirmation system designed to catch high-probability turning points with strict entry logic and fixed 2:4 risk-reward control.
SuperBandsI've been seeing a lot of volatility band indicators pop up recently, and after watching this trend for a while, I figured it was time to throw my two chips in. The original spark for this idea came years ago from RicardoSantos's Vector Flow Channel script, which used decay channels with timed events in an interesting way. That concept stuck with me, and I kept thinking about how to build something that captured the same kind of dynamic envelope behavior but with a different mathematical foundation. What I ended up with is a hybrid that takes the core logic of supertrend trailing stops, smooths them heavily with exponential moving averages, and wraps them in Donchian-style filled bands with momentum-based color gradients.
The basic mechanism here is pretty straightforward. Standard supertrend calculates a trailing stop based on ATR offset from price, then flips direction when price crosses the trail. This implementation does the same thing but adds EMA smoothing to the trail calculation itself, which removes a lot of the choppiness you get from raw supertrend during sideways periods. The smoothing period is adjustable, so you can tune how reactive versus stable you want the bands to be. Lower smoothing values make the bands track price more aggressively, higher values create wider, slower-moving envelopes that only respond to sustained directional moves.
Where this diverges from typical supertrend implementations is in the visual presentation and the separate treatment of bullish and bearish conditions. Instead of a single flipping line, you get persistent upper and lower bands that each track their own trailing stops independently. The bullish band trails below price and stays active as long as price doesn't break below it. The bearish band trails above price and remains active until price breaks above. Both bands can be visible simultaneously, which gives you a dynamic channel that adapts to volatility on both sides of price action. When price is trending strongly, one band will dominate and the other will disappear. During consolidation, both bands tend to compress toward price.
The color gradients are calculated by measuring the rate of change in each band's position and converting that delta into an angle using arctangent scaling. Steeper angles, which correspond to the band moving quickly to catch up with accelerating price, get brighter colors. Flatter angles, where the band is moving slowly or staying relatively stable, fade toward more muted tones. This gives you a visual sense of momentum within the bands themselves, not just from price movement. A rapidly brightening band often precedes expansion or breakout conditions, while fading colors suggest the trend is losing steam or entering consolidation.
The filled regions between price and each band serve a similar function to Donchian channels or Keltner bands, creating clearly defined zones that represent normal price behavior relative to recent volatility. When price hugs one band and the fill area compresses, you're in a strong directional regime. When price bounces between both bands and the fills expand, you're in a ranging environment. The transparency gradients in the fills make it easier to see when price is near the edge of the envelope versus safely inside it.
Configuration is split between bullish and bearish settings, which lets you asymmetrically tune the indicator if you find that your market or timeframe has different characteristics in uptrends versus downtrends. You can adjust ATR period, ATR multiplier, and smoothing independently for each direction. This flexibility is useful for instruments that exhibit different volatility profiles during bull and bear phases, or for strategies that want tighter trailing on longs than shorts, or vice versa.
The ATR period controls the lookback window for volatility measurement. Shorter periods make the bands react quickly to recent volatility spikes, which can be beneficial in fast-moving markets but also leads to more frequent whipsaws. Longer periods smooth out volatility estimates and create more stable bands at the cost of slower adaptation. The multiplier scales the ATR offset, directly controlling how far the bands sit from price. Smaller multipliers keep the bands tight, triggering more frequent direction changes. Larger multipliers create wider envelopes that give price more room to move without breaking the trail.
One thing to note is that this indicator doesn't generate explicit buy or sell signals in the traditional sense. It's a regime filter and envelope tool. You can use band breaks as directional cues if you want, but the primary value comes from understanding the current volatility environment and whether price is respecting or violating its recent behavioral boundaries. Pairing this with momentum oscillators or volume analysis tends to work better than treating band breaks as standalone entries.
From an implementation perspective, the supertrend state machine tracks whether each direction's trail is active, handles resets when price breaks through, and manages the EMA smoothing on the trail points themselves rather than just post-processing the supertrend output. This means the smoothing is baked into the trailing logic, which creates a different response curve than if you just applied an EMA to a standard supertrend line. The angle calculations use RMS estimation for the delta normalization range, which adapts to changing volatility and keeps the color gradients responsive across different market conditions.
What this really demonstrates is that there are endless ways to combine basic technical concepts into something that feels fresh without reinventing mathematics. ATR offsets, trailing stops, EMA smoothing, and Donchian fills are all standard building blocks, but arranging them in a particular way produces behavior that's distinct from each component alone. Whether this particular arrangement works better than other volatility band systems depends entirely on your market, timeframe, and what you're trying to accomplish. For me, it scratched the itch I had from seeing Vector Flow years ago and wanting to build something in that same conceptual space using tools I'm more comfortable with.
Elite Entries Pivot Banker PremiumElite Entries Pivot Banker — Breakout Buffer, Zones & TSL
What it does
**Elite Entries Pivot Banker** is a trend-following entry tool that:
1. Finds fresh **support/resistance pivots** using a configurable lookback.
2. Triggers **buy/sell** only when price **closes beyond** the pivot by a user-defined **Breakout Buffer** (ATR/%, or ticks).
3. Optionally **stamps a zone** from the **previous candle** (wick or body) so you can see the supply/demand area that produced the signal.
4. Manages positions with a **Trailing Stop (TSL)** (ATR/%, or points), including optional **auto break-even after +1R**.
It’s designed to cut “touch & reverse” fakes, visualize the origin zone, and keep risk management systematic.
---
How to use (quick start)
1. **Add to chart.** Works on regular or Heikin Ashi; the script uses “real” OHLC internally for entries/exits.
2. **Set Lookback (`length`).**
* Intraday: start at **150** (range: 100–200).
* Swing: start at **200** (range: 150–300).
3. **Choose Threshold Mode & Value.**
* *Percent* (default): common range **0.3–0.8%**.
* *Points*: handy for futures/indices if you think in points.
This defines how far from the pivot a candle must be before it’s even eligible to signal.
4. **Turn on the Breakout Buffer.**
* Keep **Require Breakout Close Beyond Pivot** ON.
* **ATR** buffer with **0.25–0.50** is a strong baseline; increase on choppy symbols.
* For slower charts or FX, try **Percent** (e.g., 0.10–0.25).
5. **Enable Zones (optional).**
* **Wick** zones are broader (more forgiving); **Body** zones are tighter (surgical).
* Use **Delete Zone When Broken** to auto-clean the chart.
* **Use Wick for Zone Break** if you want stricter invalidation (wick penetration kills the zone).
6. **Configure the Trailing Stop (TSL).**
* **ATR 14**, **2.0×** (Long/Short) is a classic start.
* Turn on **Auto Break-even after +1R** to protect gains on momentum pushes.
7. **Trade the signals.**
* **Green triangle** below bar = *Buy*.
* **Red triangle** above bar = *Sell*.
* If **Show BLOCKED** is enabled, “X” markers show signals that were suppressed only because a TSL trade is already active (to prevent stacking).
* **TSL line** (lime for long, red for short) shows your trailing stop; touching it exits (optional exit label shows PnL).
---
Inputs (plain-English guide)
Pivot Settings
* **Support/Resistance Lookback** — how far back to define pivots. Larger = fewer but stronger pivots.
* **Track Price** — keeps pivot plots tracking live price.
Signal Settings
* **Threshold Mode / Value** — minimum distance from pivot before a bar can even qualify.
* **Show BLOCKED markers** — visualizes otherwise-valid signals blocked by an active TSL position.
* **Signal Label Size** — shape size for the triangles.
External Filters (optional)
* **Use External Enhancers** — require pivot to be Above/Below a custom series (e.g., MA, HTF close).
Useful if you want signals only in the higher-timeframe trend.
Breakout Buffer (the key filter)
* **Require Breakout Close Beyond Pivot** — ON to reduce false breaks.
* **Buffer Mode** — ATR / Percent / Ticks.
* **Buffer Amount** — the distance that close must exceed the pivot.
Signal Zones
* **Create Zone After Signal** — draw a box from the **previous candle** (wick/body).
* **Opacity / Extend Right** — cosmetic and readability controls.
* **Delete Zone When Broken** — auto-remove once invalid.
* **Use Wick for Zone Break** — stricter (wick) vs. lenient (close) break logic.
* **Max Zones to Keep** — cap to avoid chart bloat during long replays.
Trailing Stop
* **Mode** — ATR / Percent / Points.
* **ATR Length / Multipliers** — classic 14 / 2.0× each side.
* **Percent / Points Trail** — alternatives to ATR.
* **Auto Break-even after +1R** — locks stop to entry once move equals the trail distance.
* **Show TSL Lines / Exit Labels / Risk Label at Start** — visibility + readouts.
* **PnL Display** — Currency / Points / Ticks.
* **Label styling & persistence** — pick sizes/colors and whether risk labels persist after exit.
---
Suggested presets
**Intraday baseline (indices, liquid stocks)**
* Lookback: **150**
* Threshold: **0.5%** (or 1.0 point on ES/points mode)
* Breakout Buffer: **ATR**, **0.35**
* TSL: ATR **14**, **2.0×** (both sides), Break-even **ON**
* Zones: **Wick**, Delete on Break **ON**, Wick-Break **OFF**
**Swing baseline (daily/4H)**
* Lookback: **200**
* Threshold: **0.5–0.8%**
* Breakout Buffer: **ATR**, **0.25–0.35**
* TSL: ATR **14**, **2.0×**, Break-even **ON**
* Zones: **Body** for cleaner structure, Delete on Break **ON**
---
Reading the chart
* **Triangles**: entries (green = buy, red = sell).
* **TSL lines**: dynamic stops (lime/red).
* **Exit labels**: optional PnL marker when stop is hit.
* **Zones**: shaded boxes from the *previous candle* that created the signal; auto-extend and optionally auto-delete.
---
Alerts included
* **Basic Buy Alert** — on confirmed buy signal.
* **Basic Sell Alert** — on confirmed sell signal.
* **TSL Exit (Long/Short)** — when trailing stop is touched.
---
Tips & troubleshooting
* Too many fakeouts?
→ Increase **Breakout Buffer** (e.g., ATR 0.35→0.50) or raise **Lookback**.
* Late entries?
→ Reduce **Threshold** and/or **Breakout Buffer** slightly.
* Want fewer overlapping trades?
→ Keep **TSL gate** ON (default behavior) so new signals are blocked while in a position.
* Zone clutter?
→ Lower **Max Zones to Keep** or enable **Delete Zone When Broken**.
---
## Notes & disclaimer
* This is a **research/education** tool. Always forward-test and risk-manage.
* For backtests, consider a **strategy** version that mirrors these entries and TSL exits (I can provide one if you want).
N Order EMAThe exponential moving average is one of the most fundamental tools in technical analysis, but its implementation is almost always locked to a single mathematical approach. I've always wanted to extend the EMA into an n-order filter, and after some time working through the digital signal processing mathematics, I finally managed to do it. This indicator takes the familiar EMA concept and opens it up to four different discretization methods, each representing a valid way to transform a continuous-time exponential smoother into a discrete-time recursive filter. On top of that, it includes adjustable filter order, which fundamentally changes the frequency response characteristics in ways that simply changing the period length cannot achieve.
The four discretization styles are impulse-matched, all-pole, matched z-transform, and bilinear (Tustin). The all-pole version is exactly like stacking multiple EMAs together but implemented in a single function with proper coefficient calculation. It uses a canonical form where you get one gain coefficient and the rest are zeros, with the feedback coefficients derived from the binomial expansion of the pole polynomial. The other three methods are attempts at making generalizations of the EMA in different ways. Impulse-matched creates the filter by matching the discrete-time impulse response to what the continuous EMA would produce. Matched z-transform directly maps the continuous poles to the z-domain using the exponential relationship. Bilinear uses the Tustin transformation with frequency prewarping to ensure the cutoff frequency is preserved despite the inherent warping of the mapping.
Honestly, they're all mostly the same in practice, which is exactly what you'd expect since they're all valid discretizations of the same underlying filter. The differences show up in subtle ways during volatile market conditions or in the exact phase characteristics, but for most trading applications the outputs will track each other closely. That said, the bilinear version works particularly well at low periods like 2, where other methods can sometimes produce numerical artifacts. I personally like the z-match for its clean frequency-domain properties, but the real point here is demonstrating that you can tackle the same problem from multiple mathematical angles and end up with slightly different but equally valid implementations.
The order parameter is where things get interesting. A first-order EMA is the standard single-pole recursive filter everyone knows. When you move to second-order, you're essentially cascading two filter sections, which steepens the roll-off in the frequency domain and changes how the filter responds to sudden price movements. Higher orders continue this progression. The all-pole style makes this particularly clear since it's literally stacking EMA operations, but all four discretization methods support arbitrary order. This gives you control over the aggressiveness of the smoothing that goes beyond just adjusting the period length.
On top of the core EMA calculation, I've included all the standard variants that people use for reducing lag. DEMA applies the EMA twice and combines the results to get faster response. TEMA takes it further with three applications. HEMA uses a Hull-style calculation with fractional periods, applying the EMA to the difference between a half-period EMA and a full-period EMA, then smoothing that result with the square root of the period. These are all implemented using whichever discretization method you select, so you're not mixing different mathematical approaches. Everything stays consistent within the chosen framework.
The practical upside of this indicator is flexibility for people building trading systems. If you need a moving average with specific frequency response characteristics, you can tune the order parameter instead of hunting for the right period length. If you want to test whether different discretization methods affect your strategy's performance, you can swap between them without changing any other code. For most users, the impulse-matched style at order 1 will behave almost identically to a standard EMA, which gives you a familiar baseline to work from. From there you can experiment with higher orders or different styles to see if they provide any edge in your particular market or timeframe.
What this really highlights is that even something as seemingly simple as an exponential moving average involves mathematical choices that usually stay hidden. The standard EMA formula you see in textbooks is already a discretized version of a continuous exponential decay, and there are multiple valid ways to perform that discretization. By exposing these options, this indicator lets you explore a parameter space that most traders never even know exists. Whether that exploration leads to better trading results is an empirical question that depends on your strategy and market, but at minimum it's a useful reminder that the tools we take for granted are built on arbitrary but reasonable mathematical decisions.
