Stochastic ExcessThe stochastic indicator is a technical analysis tool used in finance to assess the momentum of an asset’s price. It measures the current closing price relative to its price range over a specified period, usually a short one. This indicator helps identify overbought or oversold conditions, signaling when an asset might be about to reverse its trend.
波浪分析
Pulse FlowPulse Flow is a market structure indicator that extracts the hidden rhythm of price. It combines micro-structure detection with a rule-based trend engine, making waves and turning points visible in real time. Instead of drawing swings by hand or guessing breakouts, Pulse Flow enforces strict, objective rules for what counts as structure.
 What it shows 
 
   Micro-Structure (Fractals):  Internal swings are extracted from baseline crosses (EMA or ALMA). These fractals show how price oscillates inside the wave, providing context for micro pullbacks and internal breaks.
   Trend (HH, HL, LH, LL):  Pulse Flow uses a finite state machine (FSM) to track the current trend. Every trend represents a wave.
- Confirmed higher highs and higher lows define bullish waves.
- Confirmed lower highs and lower lows define bearish waves.
- When a wave breaks, a new wave begins. Turning points are explicitly marked as  WH  (wave high) and  WL  (wave low).
   Active Range (RL & RH):  The indicator continuously maintains the current range, based on closing prices rather than wicks. This ensures consistent behavior during liquidity events, where extremes are often tested intrabar.
   Retracement Levels (0.50 & 0.71):  Inside each active range, Pulse Flow plots the midrange and the 0.71 “optimal entry zone,” highlighting areas where pullbacks most often react.
   Breakout Confirmation:  A breakout is only valid if:
- The close extends beyond RL or RH by at least an ATR-based threshold.
 - A second candle confirms the move. 
This filters false signals and ensures structural integrity.
 
  
 How it helps 
Pulse Flow helps traders by taking the guesswork out of structure. Instead of debating whether a high or low should count, the indicator applies objective rules and marks every confirmed swing directly on the chart. Each wave is highlighted the moment the trend flips, so you always see where the market has turned and which direction the active wave is heading. The internal fractal structure reveals how price moves within the range, while the explicit HH, HL, LH, and LL points define the external trend. This distinction allows you to make tactical decisions on internal breaks and strategic decisions on external breaks, giving you clarity across timeframes. Because ranges are calculated using closing prices, the levels remain stable even when liquidity sweeps occur, making the indicator reliable in volatile markets. Combined with automatically plotted retracement levels, you gain a consistent framework for spotting likely reaction zones without redrawing lines or relying on subjective judgment.
 How it works 
Under the hood, Pulse Flow combines two engines. The pivot engine extracts micro swings by tracking how price crosses a baseline, which can be either EMA or ALMA, depending on your settings. Each cross defines a candidate high or low, and together these pivots form the fractal zigzag that represents the market’s micro-structure. On top of this, a finite state machine manages the active range. It tracks the range high and range low, validates breakouts only when price closes beyond these levels with ATR-based confirmation, and waits for a pullback before locking in the new structure. When the FSM confirms a new trend, Pulse Flow explicitly marks the turning point as a wave high or wave low. In this way, every confirmed HH, HL, LH, and LL is not a guess but the logical outcome of strict structural rules. The interaction between pivots and the FSM creates a complete and consistent map of the market’s waves, from micro oscillations to macro trend shifts.
 Summary 
Pulse Flow extracts micro-structure, defines waves, and highlights turning points. It shows the active range with key retracement levels and confirms breakouts with ATR + candle logic. By using closing prices to define RL/RH, it stays consistent even through liquidity sweeps.
For traders who trade based on structure, Pulse Flow is not just another tool. It is a framework: a rule-based map of how markets actually move in waves.
Дни недели и торговые сесииIndicator for visual analysis by trading sessions and days.
Индикатор для наглядного анализа по торговым сесиям и дням.
Fear Greed zones and Money Waves FusedThis indicator, named "Fear Greed zones and Money Waves" combines a smoothed Money Flow Index (MFI)-based wave and the Relative Strength Index (RSI) to visualize market sentiment through fear and greed zones and generate buy/sell signals.
Core Functions
- It calculates a zero-centered and smoothed version of the MFI (MoneyWave) using configurable smoothing methods (SMA, EMA, RMA) with parameters for length and smoothing intensity.
- It uses RSI to define fear and greed zones based on user-defined thresholds (e.g., RSI below 30 indicates fear, above 70 indicates greed).
- The MoneyWave area is color-coded based on these fear/greed RSI zones: dark green for fear, dark red for greed, and yellow neutral.
- The edge line of the MoneyWave shows bullish (lime) when above zero and bearish (red) when below zero.
Visual Elements
- Plots the MoneyWave as a colored area with an edge line.
- Displays horizontal lines representing the zero line and upper/lower bounds derived from MFI thresholds.
- Optionally shows direction change arrows when the MoneyWave sign changes and labels indicating BUY or SELL signals based on MoneyWave crossing zero combined with fear/greed conditions.
Trading Signals and Alerts
- Buy signal triggers when MoneyWave crosses upward through zero while in the fear zone (RSI low).
- Sell signal triggers when MoneyWave crosses downward through zero while in the greed zone (RSI high).
- Alerts can be generated for these buy/sell events.
In summary, this indicator provides a combined measure of money flow momentum (MoneyWave) with market sentiment zones (fear and greed from RSI), helping identify potential market entry and exit points with visual markers and alerts  .
SatoshiFrame Fibonacci Golden CloudGolden Fibonacci Cloud
This indicator highlights key support and resistance zones using Fibonacci levels, visualized as golden clouds on the chart. Adjustable colors, transparency, and period make it perfect for professional technical analysis.
Auto Fibonacci levels: 0.236, 0.382, 0.5, 0.618, 0.786
Two golden clouds marking important zones
Clear and fixed visuals across all timeframes
Momentum Standard Deviation | LyroRSMomentum Standard Deviation | LyroRS 
 Overview 
This indicator is designed to measure market momentum relative to standard deviation envelopes, while offering traders tools for identifying directional bias, valuation extremes, and early signals of potential reversals. By combining momentum with standard deviation analysis, smoothing functions, dynamic coloring, and table-based reporting, the script provides both a detailed and modular approach to momentum-based trading.
At its foundation, the indicator calculates momentum from a user-selected source, with optional smoothing applied through a variety of moving average types. Standard deviation is then measured around the momentum line to form upper and lower bands, which represent volatility-adjusted boundaries. These bands help identify whether momentum is overextended or trending strongly in a given direction. Signals are generated when momentum or its deviation bands cross key thresholds, with visual cues, background coloring, and plot shapes highlighting bullish or bearish shifts. A structured table summarizes the state of the system, including momentum trend, deviation trend, early insight conditions, and reversal signals, allowing traders to quickly interpret multiple layers of analysis.
  
 Originality 
In terms of originality, this script unifies momentum and standard deviation into a combined framework, rather than treating them as separate calculations. The ability to smooth source data, momentum, and deviation independently introduces flexibility, making it adaptable across assets and timeframes. Unique visualization features include futuristic-style fills, customizable color palettes, Heikin Ashi–like candle overlays, and dynamic table reporting. Together, these elements create a modular design that not only signals directional bias but also reports on context, such as early momentum flips and overbought/oversold reversals, which are often overlooked by standard momentum tools.
 Key Features 
 
 Moving average inputs allow users to choose the calculation source, enable smoothing, select from multiple moving average types, and adjust lengths for smoothing both price and momentum.
 Momentum settings define the lookback period and allow optional smoothing with user-specified averages.
 Standard deviation inputs include length, smoothing options, moving average type, and smoothing length, offering control over the sensitivity of volatility envelopes.
 Display options enable background coloring for early signals, reversal labels, momentum line plotting, and futuristic fills. Color schemes can be chosen from predefined palettes (Classic, Mystic, Accented, Royal) or set manually with custom bullish and bearish colors.
 Table settings include options for overlaying the table, positioning it anywhere on the chart, and adjusting table size from huge to tiny.
 
 Visualization 
Visualization includes upper and lower deviation bands, a smoothed average line, colored momentum plots, dynamic fills between bands, optional reversal arrows, and background shading for early insight conditions. The integrated table provides a concise breakdown of module states, showing whether deviation and momentum trends are bullish or bearish, whether an early momentum flip is detected, and whether reversals are signaled. Alerts are available for all conditions, including momentum and deviation direction changes, early signals, and bullish or bearish reversals.
 Summary 
In summary, the Momentum Standard Deviation indicator blends momentum and volatility analysis into a flexible, multi-layered tool. Its modular structure allows traders to analyze trends, volatility-adjusted overextensions, and early momentum shifts within one framework. With customizable smoothing, advanced visualization, integrated tables, and alert conditions, the indicator provides a structured method of tracking momentum states while remaining adaptable to different market conditions.
 ⚠️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.
Linear Regression Momentum | Lyro RSLinear Regression Momentum | Lyro RS 
 Overview 
This indicator is built around linear regression momentum, with additional layers of smoothing, valuation bands, and adaptive visualization. Its purpose is to provide traders with structured perspectives on market momentum by combining linear regression analysis, standard deviation thresholds, and versatile display modes. It integrates multiple approaches to highlight not only directional bias but also valuation extremes and potential reversals.
  
 Originality 
At its core, the script calculates momentum from a chosen source and then applies linear regression to extract slope-based information. This slope is smoothed through user-selected moving averages and used as the central momentum curve. Around this core, standard deviation bands are constructed, enabling detection of overbought and oversold zones relative to the momentum slope. The indicator offers three operational modes: Trend, which classifies directional bias based on slope relative to a dynamic midline; Valuation, which evaluates whether momentum is extended toward extremes; and Reversals, which identifies potential turning points when slope and price action diverge. Each mode is supported by visual cues, colored candles, standard deviation envelopes, and a configurable table summarizing active states.
In terms of originality, this script distinguishes itself by unifying linear regression momentum with Heikin Ashi transformations, customizable standard deviation envelopes, and multi-mode logic within one framework. Rather than providing a single fixed interpretation, it allows the user to adaptively switch between momentum-driven trend following, valuation-based overextension analysis, and reversal detection. This modularity is combined with flexible display features, custom color palettes, and integrated alert conditions, enabling a single tool to serve different trading approaches without the need for multiple overlapping indicators.
 Key Features 
The script offers a wide range of inputs for customization.
 
 Momentum settings include source selection, momentum length, linear regression length, moving average type, and smoothing length, which together define the sensitivity and smoothness of the momentum calculation.
 Standard deviation band settings allow users to choose whether zero or a dynamic midline is used, as well as the lookback length and the multiplier for band scaling, controlling the width of the envelope.
 Display settings enable switching between Heikin Ashi and Classic visualizations, as well as selecting the operating mode (Trend, Valuation, or Reversals). Users can also define the color palette through predefined themes or fully custom bullish and bearish colors.
 Table settings control whether a status table is shown, its size, and its position on the chart. An overlay option is available if users prefer table placement over existing chart elements.
 Additional visualization features include dynamic bar coloring, Heikin Ashi-based slope representation, standard deviation bands with shaded fills, and plotshapes highlighting reversal or overextension signals. Alerts are integrated for each mode, allowing traders to receive notifications when long or short conditions are identified under trend, valuation, or reversal logic.
 
 Summary 
In summary, this indicator provides a structured framework for analyzing momentum through linear regression, enhanced with volatility envelopes and adaptive display logic. Its design emphasizes flexibility, enabling traders to view the same momentum data through different analytical lenses—trend continuation, valuation extremes, or reversals—while maintaining clear visualization and optional alerts for actionable decision support.
 ⚠️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.
Advanced Trading System - [WOLONG X DBG]Advanced Multi-Timeframe Trading System
Overview
This technical analysis indicator combines multiple established methodologies to provide traders with market insights across various timeframes. The system integrates SuperTrend analysis, moving average clouds, MACD-based candle coloring, RSI analysis, and multi-timeframe trend detection to suggest potential entry and exit opportunities for both swing and day trading approaches.
Methodology
The indicator employs a multi-layered analytical approach based on established technical analysis principles:
Core Signal Generation
SuperTrend Engine: Utilizes adaptive SuperTrend calculations with customizable sensitivity (1-20) combined with SMA confirmation filters to identify potential trend changes and continuations
Braid Filter System: Implements moving average filtering using multiple MA types (McGinley Dynamic, EMA, DEMA, TEMA, Hull, Jurik, FRAMA) with percentage-based strength filtering to help reduce false signals
Multi-Timeframe Analysis: Analyzes trend conditions across 10 different timeframes (1-minute to Daily) using EMA-based trend detection for broader market context
Advanced Features
MACD Candle Coloring: Applies dynamic 4-level candle coloring system based on MACD histogram momentum and signal line relationships for visual trend strength assessment
RSI Analysis: Identifies potential reversal areas using RSI oversold/overbought conditions with SuperTrend confirmation
Take Profit Analysis: Features dual-mode TP detection using statistical slope analysis and Parabolic SAR integration for exit timing analysis
Key Components
Signal Types
Primary Signals: Green ▲ for potential long entries, Red ▼ for potential short entries with trend and SMA alignment
Reversal Signals: Small circular indicators for RSI-based counter-trend possibilities
Take Profit Markers: X-cross symbols indicating statistical TP analysis zones
Pullback Signals: Purple arrows for potential trend continuation entries using Parabolic SAR
Visual Elements
8-Layer MA Cloud: Customizable moving average cloud system with 3 color themes for trend visualization
Real-Time Dashboard: Multi-timeframe trend analysis table showing bullish/bearish status across all timeframes
Dynamic Candle Colors: 4-intensity MACD-based coloring system (ranging from light to strong trend colors)
Entry/SL/TP Labels: Automatic calculation and display of suggested entry points, stop losses, and multiple take profit levels
Usage Instructions
Basic Configuration
Sensitivity Setting: Start with default value 6
Increase (7-15) for more frequent signals in volatile markets
Decrease (3-5) for higher quality signals in trending markets
MA Filter Type: McGinley Dynamic recommended for smoother signals
Filter Strength: Set to 80% for balanced filtering, adjust based on market conditions
Signal Interpretation
Long Entry: Green ▲ suggests when price crosses above SuperTrend with bullish SMA alignment
Short Entry: Red ▼ suggests when price crosses below SuperTrend with bearish SMA alignment
Reversal Opportunities: Small circles indicate RSI-based counter-trend analysis
Take Profit Zones: X-crosses mark statistical TP areas based on slope analysis
Dashboard Analysis
Green Cells: Bullish trend detected on that timeframe
Red Cells: Bearish trend detected on that timeframe
Multi-Timeframe Confluence: Look for alignment across multiple timeframes for stronger signal confirmation
Risk Management Features
Automatic Calculations
ATR-Based Stop Loss: Dynamic stop loss calculation using ATR multiplier (default 1.9x)
Multiple Take Profit Levels: Three TP targets with 1:1, 1:2, and 1:3 risk-reward ratios
Position Sizing Guidance: Entry labels display suggested price levels for order placement
Confirmation Requirements
Trend Alignment: Requires SuperTrend and SMA confirmation before signal generation
Filter Validation: Braid filter must show sufficient strength before signals activate
Multi-Timeframe Context: Dashboard provides broader market context for decision making
Optimal Settings
Timeframe Recommendations
Scalping: 1M-5M charts with sensitivity 8-12
Day Trading: 15M-1H charts with sensitivity 6-8
Swing Trading: 4H-Daily charts with sensitivity 4-6
Market Conditions
Trending Markets: Reduce sensitivity, increase filter strength
Ranging Markets: Increase sensitivity, enable reversal signals
High Volatility: Adjust ATR risk factor to 2.0-2.5
Advanced Features
Customization Options
MA Cloud Periods: 8 customizable periods for cloud layers (default: 2,6,11,18,21,24,28,34)
Color Themes: Three professional color schemes plus transparent option
Dashboard Position: 9 positioning options with 4 size settings
Signal Filtering: Individual toggle controls for each signal type
Technical Specifications
Moving Average Types: 21 different MA calculations including advanced types (Jurik, FRAMA, VIDA, CMA)
Pullback Detection: Parabolic SAR with customizable start, increment, and maximum values
Statistical Analysis: Linear regression slope calculation for trend-based TP analysis
Important Limitations
Lagging Nature: Some signals may appear after potential entry points due to confirmation requirements
Ranging Markets: May produce false signals during extended sideways price action
High Volatility: Requires parameter adjustment during news events or unusual market conditions
Computational Load: Multiple timeframe analysis may impact performance on slower devices
No Guarantee: All signals are suggestions based on technical analysis and may be incorrect
Educational Disclaimers
This indicator is designed for educational and analytical purposes only. It represents a technical analysis tool based on mathematical calculations of historical price data and should not be considered as financial advice or trading recommendations.
Risk Warning: Trading involves substantial risk of loss and is not suitable for all investors. Past performance of any trading system or methodology is not necessarily indicative of future results. The high degree of leverage can work against you as well as for you.
Important Notes:
Always conduct your own analysis before making trading decisions
Use appropriate position sizing and risk management strategies
Never risk more than you can afford to lose
Consider your investment objectives, experience level, and risk tolerance
Seek advice from qualified financial professionals when needed
Performance Disclaimer: Backtesting results do not guarantee future performance. Market conditions change constantly, and what worked in the past may not work in the future. Always paper trade new strategies before risking real capital.
Apex Edge – Wolfe Wave HunterApex Edge – Wolfe Wave Hunter
The modern Wolfe Wave, rebuilt for the algo era
This isn’t just another Wolfe Wave indicator. Classic Wolfe detection is rigid, outdated, and rarely tradable. Apex Edge – Wolfe Wave Hunter re-engineers the pattern into a modern, SMC-driven model that adapts to today’s liquidity-dominated markets. It’s not about drawing pretty shapes – it’s about extracting precision entries with asymmetric risk-to-reward potential.
🔎 What it does
Automatic Wolfe Wave Detection
Identifies bullish and bearish Wolfe Wave structures using pivot-based logic, symmetry filters, and slope tolerances.
Channel Glow Zones
Highlights the Wolfe channel and projects it forward into the future (bars are user-defined). This allows you to see the full potential of the trade before price even begins its move.
Stop Loss (SL) & Entry Arrow
At the completion of Wave 5, the algo prints a Stop Loss line and a tiny entry arrow (green for bullish, red for bearish). but the colours can be changed in user settings.  This is the “execution point” — where the Wolfe setup becomes tradable.
Target Projection Lines
TP1 (EPA): Derived from the traditional 1–4 line projection.
TP2 (1.272 Fib): Optional secondary profit target.
TP3 (1.618 Fib): Optional extended target for large runners.
All TP lines extend into the future, so you can track them as price evolves.
Volume Confirmation (optional)
A relative volume filter ensures Wave 5 is formed with meaningful market participation before a setup is confirmed.
Alerts (ready out of the box)
Custom alerts can be fired whenever a bullish or bearish Wolfe Wave is confirmed. No need to babysit the charts — let the script notify you.
⚙️ Customisation & User Control
Every trader’s market and style is different. That’s why Wolfe Wave Hunter is fully customisable:
Arrow Colours & Size
Works on both light and dark charts. Choose your own bullish/bearish entry arrow colours for maximum visibility.
Tolerance Levels
Adjust symmetry and slope tolerance to refine how strict the channel rules are.
Tighter settings = fewer but cleaner zones.
Looser settings = more frequent setups, but with slightly lower structural quality.
Channel Glow Projection
Define how many bars forward the channel is drawn. This controls how far into the future your Wolfe zones are extended.
Stop Loss Line Length
Keep the SL visible without it extending infinitely across your chart.
Take Profit Line Colors
Each TP projection can be styled to your preference, allowing you to clearly separate TP1, TP2, and TP3.
This isn’t a one-size-fits-all tool. You can shape Wolfe detection logic to match the pairs, timeframes, and market conditions you trade most.
🚀 Why it’s different
Classic Wolfe waves are rare — this script adapts the model into something practical and tradeable in modern markets.
Liquidity-aligned — many setups align with structural sweeps of Wave 3 liquidity before driving into profit.
Entry built-in — most Wolfe scripts only draw the structure. Wolfe Wave Hunter gives you a precise entry point, SL, and projected TPs.
Backtest-friendly — you’ll quickly discover which assets respect Wolfe waves and which don’t, creating your own high-probability Wolfe watchlist.
⚠️ Limitations & Disclaimer
Not all markets respect Wolfe Waves. Some FX pairs, metals, and indices respect the structure beautifully; others do not. Backtest and create your own shortlist.
No guaranteed sweeps. Many entries occur after a liquidity sweep of Wave 3, but not all. The algo is designed to detect Wolfe completion, not enforce textbook liquidity rules.
Probabilistic, not predictive. Wolfe setups don’t win every time. Always use risk management.
High-RR focus. This is not a high-frequency tool. It’s designed for precision, asymmetric setups where risk is small and reward potential is large.
✅ The Bottom Line
Apex Edge – Wolfe Wave Hunter is a modern reimagination of the Wolfe Wave. It blends structural geometry, liquidity dynamics, and algo-driven execution into a single tool that:
Detects the pattern automatically
Provides SL, entry, and TP levels
Offers alerts for hands-off trading
Allows deep customisation for different markets
When it hits, it delivers outstanding risk-to-reward. Backtest, refine your tolerances, and build your watchlist of assets where Wolfe structures consistently pay.
This isn’t just Wolfe detection — it’s Wolfe trading, rebuilt for the modern trader.
Developer Notes - As always with the Apex Edge Brand, user feedback and recommendations will always be respected.  Simply drop us a message with your comments and we will endeavour to address your needs in future version updates.  
Buy and Sell Signals (Altius Consulting)Generates Buy and Sell signals based on MACD and RSI.
- Plots MACD, Signal & Histogram (optional pane).
- Buy Label (toggle): Bullish MACD crossover + RSI < threshold (no convergence requirement).
- Sell Label: Bearish MACD crossover (MACD crosses below Signal) prints a SELL tag.
- Alert: Provided for convergence-based buy condition (add your own for simple crossover if desired).
Wavelet Kernal ATR [BackQuant]Wavelet Kernal ATR  
 Introduction 
 Wavelet Kernal ATR is a closed-source, chart-side tool that fuses an edge-preserving “wavelet kernal” smoother with an ATR-aware regime line. The goal is simple: follow the real move, ignore the static, and give you clean, visual places to manage risk. It can color the trend directly on price, flip states when regime changes, and (optionally) add a secondary moving-average overlay for confirmation all while keeping the chart readable.
 What it is 
 A single adaptive baseline designed to act like a “bias rail.” When it’s up, you favor longs; when it’s down, you favor shorts. It updates in a way that’s responsive to fresh information but resistant to insignificant wiggles. Around that baseline, an ATR-scaled envelope governs how and when the line concedes to volatility, which helps avoid flip-flopping in chop. Because this release is closed source, the following focuses on behavior and practical use rather than internal math.
 What it’s used for 
  
  Bias & context:  Read the backdrop with one glance; green = bullish regime, red = bearish regime.
  Timing:  Use slope changes and pullbacks to the line for entries aligned with the dominant push.
  Risk placement:  The line and its volatility envelope give intuitive zones for stops and targets.
  Clarity:  Paint candles by state and keep other overlays to a minimum to reduce decision noise.
  
 Why “Wavelet Kernal” matters (plain English) 
 A wavelet kernal is a localized, scale-aware weighting profile. Instead of averaging every bar equally—or with a single, fixed decay—it emphasizes the most informative part of the recent window while softly down-weighting points that are either too old or too extreme. Three practical benefits result:
  
  Edge preservation:  Turning points are less “smeared” than with conventional smoothers, so the line can pivot sooner on genuine breakouts without chasing every tick.
  Multi-scale sensitivity:  The kernal “listens” to structure at multiple scales inside a compact window, helping it track swing-sized movement while suppressing micro-chop.
  Lag vs. noise balance:  Because the weighting is localized and shape-aware, you get a calmer line at similar responsiveness compared to common filters; fewer false flips, more meaningful ones.
  
 You don’t need to know the internals to use it: think of the wavelet kernal as a smart stethoscope for price. It hears the heartbeat (trend/impulse) and ignores the coughs (random spikes).
 How it behaves 
  
  Trend mode:  When price expands directionally, the line “sticks” to the move and stays colored in that direction. Pullbacks that remain shallow relative to volatility usually do not flip the state.
  Transition mode:  After a large push, the line may flatten as volatility compresses. Flat + frequent small flips is the platform telling you: edge is low, wait for expansion.
  Shock handling:  On sudden spikes, the ATR envelope acts like a reality check—minor overreactions are absorbed, while statistically meaningful breaks force the baseline to concede and re-anchor.
  
 Reading the line (quick heuristics) 
  
  Green + rising:  Bias long; look for pullbacks toward the line that stall and resume.
  Red + falling:  Bias short; look for rallies into the line that fade.
  Flat + rapid color flips:  Stand down or scale down—let the next expansion choose the side.
  Color flip at a prior S/R:  Treat as a higher-quality signal than flips in the middle of nowhere.
  
 Baseline + ATR corridor (concept) 
 The volatility envelope isn’t drawn as two fat bands here; it’s used internally to keep the baseline honest. You can think of it as a “breathing room” rule: the line is allowed to adapt with trend, but it shouldn’t jump the fence unless price movement is large enough relative to recent volatility. That’s why the tool feels calm in chop and decisive during actual breaks.
 Optional MA Overlay (confluence) 
 You can overlay a moving average of the baseline itself for slower-regime confirmation. When both agree (baseline direction and its MA slope), you have trend alignment. When they diverge, expect digestion or a possible transition. Keep this overlay subtle; it’s a context layer, not another signal firehose.
 What it plots 
  
  Wavelet ATR line  — the adaptive baseline that flips color with regime.
  Optional MA of the baseline  — slower confirmation, on or off.
  Candle painting  — bars can inherit long/short state for instant read-through.
  Alerts  — available for state flips up/down.
  
 Inputs explained (effect on behavior) 
 Wavelet ATR Calculation 
  
  Price Source  — Default  hlc3 ; choose your preferred composite of OHLC.
  Kernal Calculation Length  — The horizon the kernal “listens to.”  Longer  = steadier, fewer flips;  shorter  = snappier, more flips.
  Kernal Alpha  — How strongly the kernal prioritizes the freshest data inside that horizon. Higher alpha = quicker to acknowledge new pushes; lower alpha = more patience.
  ATR Period  — Determines the volatility memory. Shorter = envelope reacts faster; longer = envelope demands more evidence to concede.
  ATR Factor  — Scales how “strict” the envelope is. Larger factor = more tolerance (fewer flips); smaller = more sensitivity (earlier regime shifts).
  
 Confluence 
  
  Show Atr Moving Average  — Turns on the secondary overlay.
  MA Type  — Choose the flavor you read best (simple, exponential, linear regression, etc.).
  Moving Average Period  — The overlay’s horizon; treat it as a background current.
  Volume Factor / Sigma (when applicable)  — Specialized parameter used by certain MA types to shape smoothness.
  
 Plotting & UI 
  
  Plot Wavelet ATR  — Toggle the main line.
  Paint Candles According to Trend  — Color bars by the baseline’s state.
  Long/Short Colors  — Match your chart theme.
  
 A practical playbook 
  
  Trend-pullback continuation 
  Setup:  Baseline is green and rising. Price pulls back toward it, stalls (small bodies or wicks into the line), then resumes upward.
  Idea:  Enter on the resumption. Protective stop often lives just below the line or the last swing low. Scale targets through prior highs or measured projections.
 Breakout + acceptance 
  Setup:  Baseline flattens after consolidation. Price expands away; baseline turns green/red and  stays  that way as two or three bars “accept” the new area.
  Idea:  Join on the first controlled retest toward the line. If the line instantly loses color again, treat it as a fakeout.
 Failed test / flip-and-go 
  Setup:  Price challenges the line from the wrong side but cannot close through it convincingly; shortly after, the baseline flips color back in the original direction.
  Idea:  Use that failed test as a springboard—risk tucked beyond the failed side.
  
 Quality checks before you click 
  
  Structure context:  Is the flip happening near prior highs/lows, session opens, or well-observed levels? Flips at structure carry more information.
  Volatility posture:  If range is compressing, be picky. If range is expanding, respect the first pullback after the flip.
  Clutter discipline:  Use the fewest layers that earn their place. Trend line + candle painting is often enough.
  
 Common questions 
  
  “Why did the line not flip on that spike?”  Because the move wasn’t large or sustained enough relative to recent volatility. The envelope forces patience.
  “Why did it flip and then flip back?”  That’s what digestion looks like. The kernal preserves edges, but when the market truly has no edge, brief flips are information: sit tight.
  “Do I need the overlay MA?”  No. It’s optional context. If it helps you filter marginal trades, keep it. If it adds noise, turn it off.
  
 Troubleshooting & fine-tuning (principles, not prescriptions) 
  
  Too many flips?  Increase the Kernal Calculation Length  or  the ATR Factor. You’re asking for a steadier bias.
  Feels late on strong trends?  Nudge Kernal Alpha higher  or  shorten the Kernal Length. You’re asking for earlier acknowledgment.
  Stops feel random?  Place initial risk just beyond the baseline (or the last swing beyond it), then trail only when fresh structure appears.
  Charts feel crowded?  Keep the baseline + candle coloring; hide the overlay and other ornaments.
  
 Alerts 
  
  Wavelet ATR Trend Up
  Wavelet ATR Trend Down
  
 Final notes 
 This tool is built to minimize analysis fatigue: one adaptive line, strong visual feedback, and enough discipline from volatility logic to avoid the “every blip is a signal” trap. The internal math, weighting shapes, and state logic are proprietary and intentionally not disclosed here; you still have full control of behavior through the inputs above. As always, align the settings with your own trade plan, keep the chart readable, and let confluence—not clutter—do the heavy lifting.
Diamond PivotsWhen price changes direction, it forms Pivot. They are also called reversals, because they represent the point where the price reverses direction.
There are two varieties of pivots: Pivot high and pivot low 
A pivot high occurs when the price is moving higher, then changes directions and begins moving lower. 
A pivot low occurs when the price is moving lower, then changes direction and begins moving higher. Since the financial markets are in a constant state of movement, pivots are constantly forming.
The Pivot is identifying the liquidity points or sweeps of liquidity
LSMAsThis indicator calculates and plots two Least Squares Moving Averages (LSMA) based on different lengths and a Smoothed Moving Average (SMMA) of the longer LSMA.
 Inputs 
lengthA : Period length for the first, longer LSMA.
lengthB : Period length for the second, shorter LSMA.
signAl : Signal period used in SMMA smoothing.
 Calculations 
LSMA-A and LSMA-B : Calculates the linear regression (least squares) of source over lengthA and lengthB respectively, with no offset. These represent two LSMAs, one slow  and one fast.
SMMA : This is a smoothed moving average of the longer LSMA (LSMA-A). 
 Purpose 
This indicator helps traders identify trend directions and momentum by using two least squares regression lines of different lengths to capture short- and long-term trends in price. The SMMA smoothing of the longer LSMA may be used as a signal or confirmation line to reduce noise and produce smoother signals.
It generates buy and sell signals based on the intersection of the LSMA-A and SMMA. If the LSMA-A crosses the SMMA upwards, a BUY signal is generated; if it crosses the SMMA downwards, a SELL signal is generated.
The LSMA-B, which is short-term, can be used for wave analysis. When a peak forms, a high is observed on the chart, and when a valley forms, a low is observed. This allows us to determine whether the wave is rising or falling.
 Summary 
Two LSMAs are calculated: one slow (lengthA), one fast (lengthB).
A smoothed moving average (SMMA) of the slow LSMA is computed using the signal length (signAl).
All three curves are overlaid on the price chart for visual trend and momentum analysis.
Smoothed Basis Overview and Purpose 
The script calculates a smoothed mid-range basis between the highest and lowest prices over a specified period, then applies a smoothing function (smoothed moving average) to show the trend direction or momentum in a less noisy way. The area between the basis and its smoothed value is color-filled to visually highlight when the basis is above or below the smoothed average, signaling potentially bullish or bearish momentum.
 Indicator Setup 
length =  Period length  for calculating the highest and lowest values.
signal = Smoothing period used to smooth the basis.
offset =Optional horizontal shift to the plots (default 0).
 Core Calculations 
lower =  Finds the lowest low over the past length bars.
upper =  Finds the highest high over the past length bars.
basis = Calculates the midpoint between the highest and lowest.
Smoothing Calculation (Smoothed Moving Average - SMMA)
Declares smma as 0.0 initially. If the previous smma value is not available (like on the first bar), initializes with a simple moving average of basis over signal bars. Else applies  formula
which gives a smoother version of basis which reacts less to sudden changes.
 Plotting and Color Fill 
Plots the raw basis line and smoothed basis line .
Fills the area between the basis and smoothed basis lines:
Greenish fill  if the basis is above the smoothed value (potentially bullish).
Reddish fill  if the basis is below the smoothed value (potentially bearish).
Interpretation and Use
The indicator visually shows where price ranges are shifting by tracking the midpoint between recent highs and lows.
The smoothed basis serves as a trend or momentum filter by dampening noise in the basis line.
When the basis is above the smoothed line (green fill), it signals upward momentum or strength; below it (red fill) suggests downward momentum or weakness.
The length and signal parameters allow tuning for different timeframes or asset volatility.
In summary, this code creates a custom smoothed oscillator based on the midpoint range of price extremes, highlighting trend changes via color fills and smoothening price action noise with an SMMA.
Option Trend for Nifty & Bank Nifty (Indian Market)This is an advanced multi-system trading indicator for TradingView, offering a comprehensive suite of tools for technical analysis and trading decision support .
Main Features
Trendline Detection: Identifies bullish and bearish trendlines automatically using swing highs and lows, with optional labeling of key price structure (Higher Highs, Lower Lows, etc.) and customizable line colors and styles.
Signal & Trend Systems: Includes both a crossover signal system (for buy/sell entries) and a multi-period trend-following system, which uses enhanced moving averages and dynamic trailing levels to adapt to different market conditions.
Supply & Demand Zones: Automatically detects and marks potential supply and demand zones based on pivot structures and ATR buffers, helping spot logical areas for price reaction or reversal.
Support & Resistance: Plots periodic support/resistance and macro (long-term) levels, with user-defined periods and the ability to visualize volume delta for each zone.
Theil-Sen Estimator: Optionally adds a statistical regression channel using the robust Theil-Sen method to identify trend direction and breaks for long-term analysis.
RSI/KDE Analysis: Implements relative strength index (RSI) analysis with kernel density estimation (KDE) to detect pivot points with probability labeling and color-coded signals for high-confidence reversals.
Dashboards & Alerts: Provides multitimeframe dashboards summarizing trend, EMA signals, and momentum across up to five timeframes, plus integrated alerting for all major events (entries, exits, zone breaks, etc.).
Customization & Usability
Extensive input settings for periods, color themes, line widths, and label visibility.
Can display visual cloud bands, trend ribbons, and supply/demand boxes as overlays on price charts for enhanced clarity.
Open-source and for educational use under permissive licensing, not affiliated with TradingView.
This indicator is designed to deliver a full-featured market map, combining price action, trend, support/resistance, and probabilistic signals for discretionary or semi-automated trading.
Sine Weighted Trend Navigator [QuantAlgo]🟢 Overview 
The  Sine Weighted Trend Navigator  utilizes trigonometric mathematics to create a trend-following system that adapts to various market volatility. Unlike traditional moving averages that apply uniform weights, this indicator employs sine wave calculations to distribute weights across historical price data, creating a more responsive yet smooth trend measurement. Combined with volatility-adjusted boundaries, it produces actionable directional signals for traders and investors across various market conditions and asset classes.
  
 🟢 How It Works 
At its core, the indicator applies sine wave mathematics to weight historical prices. The system generates angular values across the lookback period and transforms them through sine calculations, creating a weight distribution pattern that naturally emphasizes recent price action while preserving smoothness. The phase shift feature allows rotation of this weighting pattern, enabling adjustment of the indicator's responsiveness to different market conditions.
Surrounding this sine-weighted calculation, the system establishes volatility-responsive boundaries through market volatility analysis. These boundaries expand and contract based on current market conditions, creating a dynamic framework that helps distinguish meaningful trend movements from random price fluctuations.
The trend determination logic compares the sine-weighted value against these adaptive boundaries. When the weighted value exceeds the upper boundary, it signals upward momentum. When it drops below the lower boundary, it indicates downward pressure. This comparison drives the color transitions of the main trend line, shifting between bullish (green) and bearish (red) states to provide clear directional guidance on price charts.
  
 🟢 How to Use 
 
 Green/Bullish Trend Line:  Rising momentum indicating optimal conditions for long positions (buy)
 Red/Bearish Trend Line:  Declining momentum signaling favorable timing for short positions (sell)
  
 Steepening Green Line:  Accelerating bullish momentum with increasing sine-weighted values indicating strengthening upward pressure and high-probability trend continuation
 Steepening Red Line:  Intensifying bearish momentum with declining sine-weighted calculations suggesting persistent downward pressure and optimal shorting opportunities
 Flattening Trend Lines:  Gradual reduction in directional momentum regardless of color may indicate approaching consolidation or trend exhaustion requiring position management review
 
  
 🟢 Pro Tips for Trading and Investing 
 → Preset Strategy Selection:  Utilize the built-in presets strategically - Scalping preset for ultra-responsive 1-15 minute charts, Default preset for balanced general trading, and Swing Trading preset for 1-4 hour charts and multi-day positions.
 → Phase Shift Optimization:  Fine-tune the phase shift parameter based on market bias - use positive values (0.1-0.5) in trending bull markets to enhance uptrend sensitivity, negative values (-0.1 to -0.5) in bear markets for improved downtrend detection, and zero for balanced neutral market conditions.
 → Multiplier Calibration:  Adjust the multiplier according to market volatility and trading style. Use lower values (0.5-1.0) for tight, responsive signals in stable markets, higher values (2.0-3.0) during earnings seasons or high-volatility periods to filter noise and reduce whipsaws.
 → Sine Period Adaptation:  Customize the sine weighted period based on your trading timeframe and market conditions. Use 5-14 for day trading to capture short-term momentum shifts, 14-25 for swing trading to balance responsiveness with reliability, and 25-50 for position trading to maintain long-term trend clarity.
 → Multi-Timeframe Sine Validation:  Apply the indicator across multiple timeframes simultaneously, using higher timeframes (4H/Daily) for overall trend bias and lower timeframes (15m/1H) for entry timing, ensuring sine-weighted calculations align across different time horizons.
 → Alert-Driven Systematic Execution:   Leverage the built-in trend change alerts to eliminate emotional decision-making and capture every mathematically-confirmed trend transition, particularly valuable for traders managing multiple instruments or those unable to monitor charts continuously.
 → Risk Management:  Increase position sizes during strong directional sine-weighted momentum while reducing exposure during frequent color changes that indicate mathematical uncertainty or ranging market conditions lacking clear directional bias.
SMC Mapping 2.0“This script is a Smart Money Concepts (SMC) indicator that helps traders identify market structure shifts such as Break of Structure (BOS) and Change of Character (ChoCH). It also highlights Supply & Demand zones, Internal/External Liquidity sweeps, and IDM levels.
The tool is designed for price action traders who want a clean and visual way to track BOS, ChoCH, and liquidity points directly on their chart. It is fully customizable with options to show/hide different elements, change colors, and adjust sensitivity.”
🔹 Script Overview
This script is based on Smart Money Concepts (SMC).
It automatically identifies Break of Structure (BOS), Change of Character (ChoCH), Supply & Demand zones, and IDM zones on the chart.
🔹 Features
Market Structure Detection → plots HH (Higher Highs) and LL (Lower Lows)
BOS & ChoCH → quickly identify trend shifts
Auto Supply & Demand Zones → highlights potential reversal areas
IDM Zones → marks imbalance/inefficiency
Clear color-coded visuals for bullish/bearish context
🔹 How It Works
The script evaluates recent swing highs and lows (20-bar lookback by default)
When price breaks above the recent high → Bullish BOS
When price breaks below the recent low → Bearish BOS
Based on this structure, the script automatically generates labels and zones
🔹 How To Use
Add the script to your chart (works well on 15m, 1H, 4H timeframes)
Use HH/LL labels to read the market structure
Supply & Demand zones help in identifying possible entry/exit points
IDM zones confirm imbalance areas for trade validation
🔹 Note
While this script uses classic concepts (HH, LL, Supply/Demand, IDM), the calculations, visuals, and styling are customized to provide a fresh and unique tool for traders. It is designed to help traders clearly see market structure and plan trades accordingly.
Precision Candle Marker – OL/OH/OC ScreenerThis indicator highlights high-probability precision candles on any perpetual contract, designed especially for scalpers and short-term traders.
It marks three unique candle setups on the 1-minute chart (works on other timeframes too):
🟢 Open = Low (OL) → Strong bullish momentum, buyers took control instantly.
🔴 Open = High (OH) → Strong bearish momentum, sellers took control instantly.
🔵 Open = Close (OC) → Doji / indecision candle, potential reversal or continuation signal.
Use cases:
Identify breakout entry points in uptrend/downtrend.
Filter noise and focus on precision candles.
Combine with trend indicators (EMA, VWAP, RSI) for confirmation.
This tool is best suited for scalping perpetual contracts (e.g., BTCUSDT, ETHUSDT) but works on any symbol and timeframe.
Volitility Nasdaq Buy/Sell Indicator�� THE BUY & SELL STRATEGY
�� BUY SIGNALS: "BUY THE FEAR"
When VIX/VXN Spike = Market Bottom Opportunity
🔴 SELL SIGNALS: "SELL THE COMPLACENCY"
When VIX/VXN Collapse = Market Top Warning
�� BUY SIGNALS: "BUY THE FEAR"
When VIX/VXN Spike = Market Bottom Opportunity
✅ VIX > 80th percentile (extreme fear)
✅ Above 2σ mean reversion bands (oversold)
✅ Volatility trending higher (panic accelerating)
✅ Options flow bullish (smart money buying)
✅ Market breadth oversold (selling exhaustion)
✅ Currency flows risk-off (flight to safety)
✅ Yield curve steepening (growth expectations)
✅ No economic events (clean setup)
✅ Price above VWAP (institutional support)
✅ Quality score 8+/10 (premium setup)
Result: Buy market dips when fear is extreme but fundamentals support recovery
🔴 SELL SIGNALS: "SELL THE COMPLACENCY"
When VIX/VXN Collapse = Market Top Warning
✅ VIX < 20th percentile (extreme complacency)
✅ Below 2σ mean reversion bands (overbought)
✅ Volatility trending lower (complacency growing)
✅ Options flow bearish (smart money selling)
✅ Market breadth overbought (euphoric buying)
✅ Currency flows risk-on (excessive optimism)
✅ Yield curve flattening (growth concerns)
✅ No economic events (clean setup)
✅ Price below VWAP (institutional selling)
✅ Quality score 8+/10 (premium setup)
Result: Sell market rallies when complacency is extreme and reversal risk is high
�� THE PERFORMANCE EDGE
�� STATISTICAL ADVANTAGE
Traditional VIX Indicators: 35-40% accuracy
Our World-Class System: 85-90% accuracy
False Signal Reduction: 70-80% fewer bad trades
Adaptive Intelligence: Works in any market condition
Professional Grade: Institutional-quality analysis
🎯 RECOMMENDED TIMEFRAMES
🥇 15-Minute Charts: Best balance (85-90% accuracy)
�� 5-Minute Charts: For scalping (80-85% accuracy)
🥉 1-Hour Charts: For swing trading (90-95% accuracy)
🏅 WHO THIS IS FOR
✅ Day Traders: Precise intraday volatility entries
✅ Swing Traders: Multi-day volatility cycles
✅ Options Traders: VIX timing for options strategies
✅ Portfolio Managers: Risk-on/risk-off positioning
✅ Hedge Funds: Professional volatility trading
✅ Retail Traders: Access to institutional tools
�� THE COMPETITIVE ADVANTAGE
What You Get:
🎯 9-Layer Confirmation System - Only highest-probability setups
📊 Dynamic External Data - Real-time market context
⚡ Auto-Timeframe Adaptation - Works on any timeframe
🛡️ Economic Event Filtering - Avoids Fed meeting traps
📈 Professional Quality Scoring - 1-10 scale with bonuses
�� Detailed Alerts - Complete context in every notification
📋 Live Dashboard - Real-time status monitoring
🎨 Professional UI - Clean, institutional appearance
�� THE VALUE PROPOSITION
Instead of:
❌ Guessing at VIX levels
❌ Getting whipsawed by false signals
❌ Missing crucial market context
❌ Using amateur tools
❌ Losing money on bad setups
You Get:
✅ 90%+ Accuracy with proper settings
✅ Institutional-Grade Analysis
✅ Multi-Asset Confirmation
✅ Dynamic Adaptation
✅ Professional Results
🎯 THE BOTTOM LINE
This isn't just another VIX indicator.
This is a complete volatility trading system that gives you the same edge institutional traders use.
With 85-90% accuracy, dynamic adaptation, and professional-grade analysis, you'll finally have the tools to trade volatility like a pro.
🔥 GET STARTED TODAY
Ready to transform your volatility trading?
Ready to buy fear and sell complacency with precision?
Ready to join the ranks of professional volatility traders?
The World-Class VIX/VXN Indicator is your gateway to institutional-level trading performance.
Don't trade volatility with amateur tools. Trade it like a professional.
"The market rewards those who can read volatility correctly. This system gives you that edge."
Adaptive Gap Bands - DolphinTradeBot1️⃣ Overview 
Adaptive Gap Bands is a momentum indicator that measures the percentage difference between fast and slow moving averages. This helps identify potential overbought or oversold zones.
The goal is to analyze “gap” behaviors within a trend and generate clearer entry–exit signals.
Since the bands are anchored to the slow moving average, they are more sensitive to the trend direction, making signals stronger in line with the prevailing trend.
 📌 Signals do not repaint — once confirmed, they remain fixed on the chart.
 
2️⃣ How It Works ? 
The indicator tracks the distance between fast and slow MAs.
 
 The indicator measures the percentage gap between the fast and slow moving averages, relative to the slow MA.
 Each time the gap reaches a new extreme during a swing, that value is stored.
When the averages cross, the stored values from the last N swings (defined by Swing Count) are collected.
 These gap values are then averaged to create a smoother and more adaptive reference.
 The bands are built by multiplying this average gap with the % Multiplier and projecting it around the slow MA.
 
3️⃣ How to Use It  ? 
Add the script to your chart.
 
 Green label  → potential Long signal.
 Red label  → potential Short signal.
 Signals often appear when price moves outside the adaptive bands, showing extreme momentum.
 Can also be used as a reference tool in manual trades to set profit/loss expectations.
 By comparing upward vs. downward gaps, it can help analyze and confirm the dominant trend direction.
 
4️⃣⚙️ Settings 
 
 Swing Count  → Number of past swings considered.
 % Multiplier  → Adjusts band width (narrower or wider).
 MA Lengths & Types  → Choose fast and slow moving averages (EMA, SMA, RMA, etc.).
Multi-indicator trading screener with visual overlays V2Special Thanks to community out there. 
I just combined famous scripts from different authors. 
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More advance and with more protection with indicator priority system which to use under which condition while buying and selling. long or short
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 Main Components 
1. Order Block Detection
2. Trend Analysis
3. Signal Generators
4. Visual Overlays
Flow State [BreakoutOrFakeout]
🌊 FLOW STATE  
Enter the flow with this triple-EMA alignment system that shows
when all timeframes are in perfect harmony.
Features:
• 3-level flow alignment (fast/medium/slow)
• Alignment scoring system (-3 to +3)
• Flow state visualization
• Distance from flow in ATRs
• Clean dashboard display
• Reversal warnings
Flow States:
Strong Up = All aligned bullish (+3)
Weak Up = Partially bullish (+1)
Neutral = Mixed signals
Weak Down = Partially bearish (-1)
Strong Down = All aligned bearish (-3)
Guppy MMA [Alpha Extract]A sophisticated trend-following and momentum assessment system that constructs dynamic trader and investor sentiment channels using multiple moving average groups with advanced scoring mechanisms and smoothed CCI-style visualizations for optimal market trend analysis. Utilizing enhanced dual-group methodology with threshold-based trend detection, this indicator delivers institutional-grade GMMA analysis that adapts to varying market conditions while providing high-probability entry and exit signals through crossover and extreme value detection with comprehensive visual mapping and alert integration.
🔶 Advanced Channel Construction
Implements dual-group architecture using short-term and long-term moving averages as foundation points, applying customizable MA types to reduce noise and score-based averaging for sentiment-responsive trend channels. The system creates trader channels from shorter periods and investor channels from longer periods with configurable periods for optimal market reaction zones.
 // Core Channel Calculation Framework
maType = input.string("EMA", title="Moving Average Type", options= )
// Short-Term Group Construction
stMA1 = ma(close, st1, maType)
stMA2 = ma(close, st2, maType)
// Long-Term Group Construction  
ltMA1 = ma(close, lt1, maType)
ltMA2 = ma(close, lt2, maType)
// Smoothing Application
smoothedavg = ma(overallAvg, 10, maType) 
🔶 Volatility-Adaptive Zone Framework
Features dynamic score-based averaging that expands sentiment signals during strong trend periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine momentum shifts. The dual-group averaging system optimizes zone boundaries for realistic market behavior patterns.
 // Dynamic Sentiment Adjustment
shortTermAvg = (stScore1 + stScore2 + ... + stScore11) / 11
longTermAvg = (ltScore1 + ltScore2 + ... + ltScore11) / 11
// Dual-Group Zone Optimization
overallAvg = (shortTermAvg + longTermAvg) / 2
allMAAvg = (shortTermAvg * 11 + longTermAvg * 11) / 22 
🔶 Step-Like Boundary Evolution
Creates threshold-based trend boundaries that update on smoothed average changes, providing visual history of evolving bullish and bearish levels with performance-optimized threshold management limited to key zones for clean chart presentation and efficient processing.
🔶 Comprehensive Signal Detection
Generates buy and sell signals through sophisticated crossover analysis, monitoring smoothed average interaction with zero-line and thresholds for high-probability entry and exit identification. The system distinguishes between trend continuation and reversal patterns with precision timing.
  
🔶 Enhanced Visual Architecture
Provides translucent zone fills with gradient intensity scaling, threshold-based historical boundaries, and dynamic background highlighting that activates upon trend changes. The visual system uses institutional color coding with green bullish zones and red bearish zones for intuitive market structure interpretation.
🔶 Intelligent Zone Management
Implements automatic trend relevance filtering, displaying signals only when smoothed average proximity warrants analysis attention. The system maintains optimal performance through smart averaging management and historical level tracking with configurable MA periods for various market conditions.
🔶 Multi-Dimensional Analysis Framework
Combines trend continuation analysis through threshold crossovers with momentum detection via extreme markers, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with score-normalized accuracy.
  
🔶 Advanced Alert Integration
Features comprehensive notification system covering buy signals, sell signals, strong bull conditions, and strong bear conditions with customizable alert conditions. The system enables precise position management through real-time notifications of critical sentiment interaction events and zone boundary violations.
🔶 Performance Optimization
Utilizes efficient MA smoothing algorithms with configurable types for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic visual level cleanup and performance-optimized visual rendering for smooth operation across all timeframes.
  
This indicator delivers sophisticated GMMA-based market analysis through score-adaptive averaging calculations and intelligent group construction methodology. By combining dynamic trader and investor sentiment detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade trend analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying market conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to trend trading, momentum reversals, and sentiment continuation analysis with clearly defined risk parameters and comprehensive alert integration.






















