Adaptive Signal IndicatorAdaptive Signal Indicator
Overview
The Adaptive Signal Indicator is a multi-timeframe confirmation system designed to help traders and investors identify potential entry and exit points. It automatically adjusts its analysis timeframes based on your chart's timeframe, providing consistent signal logic whether you're viewing 15-minute or weekly charts.
How It Works
This indicator combines multiple technical components that must align before generating a signal. However, the signal has a heavier weighting on price action because real investors know that "Only Price Pays." Additionally, rather than relying on a single indicator, it requires confirmation across several dimensions:
Trend Analysis — Evaluates short-term price structure using dual exponential moving averages
Wave Detection — Monitors momentum shifts using smoothed momentum calculations
Flow Tracking — Analyzes volume dynamics to confirm price movements have participation
Pulse Filter — Ensures signals align with the current directional bias of oscillator momentum
Macro Alignment — Checks higher-timeframe trend agreement before triggering signals
Drift Gate — Requires short-term trend confirmation on the daily timeframe
Cross Detection — Identifies key moving average crossovers on the daily timeframe
Range Position — Uses volatility bands to filter signals at extreme price levels
Signal Logic
Buy signals require:
Multiple bullish confirmations across different analysis methods
Macro trend not in bearish alignment
Pulse filter confirming upward momentum
Drift gate showing bullish daily bias
Sell signals require:
Bearish momentum confirmation
Macro trend not in bullish alignment
Pulse filter confirming downward momentum
Dashboard
Two real-time tables display:
Status Panel (Top Right)
Current state of all 8 analysis components
Color-coded for quick visual assessment
Shows conditions count and last signal status with % change since signal
Statistics Panel (Bottom Right)
Total signals generated
Success rate with win/loss breakdown
Average return per signal
Average winning and losing trade percentages
Profit factor
Maximum win and loss percentages
Key Features
✓ Adaptive Timeframes — Automatically selects appropriate analysis timeframes based on your chart
✓ Multiple Confirmations — Reduces false signals by requiring agreement across different analysis methods
✓ Clear Signals — Distinct BUY/SELL markers with no ambiguity
✓ Built-in Statistics — Track historical performance directly on chart
✓ Works on Any Market — Stocks, crypto, forex, indices, commodities
✓ Clean Visual Design — Overlay design keeps your chart readable
Best Practices
Use this indicator as one component of your overall trading plan
Consider your own risk management rules for position sizing and stop losses
Backtest on your preferred markets and timeframes before live trading
Signals work best in trending market conditions (the indicator filters for trend strength)
Who This Is For
Traders who prefer a systematic approach with clearly defined entry conditions. Suitable for swing trading and position trading timeframes. The multi-confirmation requirement means fewer signals, but each signal has passed multiple filters.
Note: Past performance shown in the statistics panel is based on historical data and does not guarantee future results. This indicator provides analysis tools to support your trading decisions—it is not financial advice. Always use proper risk management
M-oscillator
Combined: Gann HL + Supertrend + Supertrend v6Combined: Gann HL + Supertrend + Supertrend v6
Included Indicators
1. Gann High-Low Activator
A dynamic trend tool that flips direction when price crosses its smoothed high/low average. Gann signals often catch clean directional swings and act as an excellent early trend filter.
2. Standard Supertrend (ATR-based)
The classic trend-following indicator using average true range for volatility-adaptive stop levels. Its direction flips mark trend reversals, especially effective in trending markets.
3. Orekhov Supertrend (GPL Classic)
A robust version of Supertrend that includes wick sensitivity and doji-handling logic. It behaves smoothly on lower timeframes, avoiding false flips and maintaining direction more intelligently.
Squeeze Momentum OscillatorTitle: Squeeze Momentum Oscillator
Description: This indicator is a panel-based oscillator designed to visualize the relationship between market volatility and momentum. Based on the classic TTM Squeeze concept, it helps traders identify periods of consolidation ("The Squeeze") and the subsequent release of energy ("The Breakout").
Originality & Enhancements: Standard squeeze oscillators only show when a squeeze fires (turning from red to green). This enhanced version adds a specific Breakout Validation layer. It changes the center-line dot color to Fuchsia or Blue only if the squeeze release is confirmed by the slope of the 20-period Moving Average, filtering out weak or false fires.
How It Works:
1. The Center Line (Volatility State): The dots along the zero line tell you the current volatility condition:
🔴 Red Dot: Squeeze ON. Bollinger Bands are inside Keltner Channels. Volatility is compressed. The market is charging up.
🟣 Fuchsia Dot: Bullish Breakout. The squeeze has fired upward, and the underlying trend (20 SMA slope) is positive.
🔵 Blue Dot: Bearish Breakout. The squeeze has fired downward, and the underlying trend (20 SMA slope) is negative.
🟢 Green Dot: Squeeze OFF. Normal volatility conditions.
2. The Histogram (Momentum): The bars indicate the strength and direction of the price movement using Linear Regression logic:
Cyan/Green: Bullish momentum. (Darker = weakening).
Red/Maroon: Bearish momentum. (Darker = weakening).
Visual Guide:
Setup: Wait for a series of Red Dots.
Trigger: Look for the first Fuchsia (Bullish) or Blue (Bearish) dot accompanied by an expanding Histogram in the same direction.
Settings:
Feature Toggle: You can turn the "Breakout Colors" (Fuchsia/Blue) on or off if you prefer the classic look.
Sensitivity: Fully customizable lengths and multipliers for Bollinger Bands and Keltner Channels.
Credits: Based on the foundational TTM Squeeze oscillator logic. Linear regression momentum calculation adapted from standard open-source methods. Breakout validation logic added for enhanced reliability.
Oscillation filterDescription: This is a customized technical indicator designed to assist traders in analyzing overbought and oversold conditions in volatile or trending markets. It plots overbought and oversold conditions of different colors as distinctions for multiple periods.
Working principle: This indicator calculates the oscillation index value of the given parameter and projects it onto a chart to visualize the fluctuation limit. It helps identify oscillations, trend reversals and manage risks under various market conditions.
Access: This is an invitation-only script. To request access or permission, please refer to X: @Dev0x_AI for communication.
震荡过滤器
Fusion Reversion Meter LiteFusion Reversion Meter Lite™
Market Energy & Exhaustion Gauge
Fusion Reversion Meter Lite shows whether market conditions support your next trade — not direction, but energy state.
It answers a critical question:
Does price have fuel to continue… or is it running out of steam?
METER STATES
🟢 GO → Energy depleted
→ Reversion behavior favored
🟡 CAUTION → Energy transitioning
→ Expect chop or mixed conditions
🔴 STOP → Energy expanding
→ Continuation behavior favored
HOW TO USE
GO → Favor reversion trades
CAUTION → Reduce size or wait for clarity
STOP → Favor continuation trades; avoid fading price
This allows you to trade with confidence, knowing whether retracements are likely or not.
WHAT THIS MEASURES
A composite of:
Oscillator intensity
Volume energy
Volatility expansion
Combined into a single, real-time energy gauge.
It tells you whether the market has fuel — not which way it’s going.
PAIRS WELL WITH
FusionPredict Lite™ — shows where price may want to go.
Used together:
FusionPredict target + Meter GO → Wait for pullback / reversion
FusionPredict target + Meter STOP → Continuation may run clean
FULL VERSION
The full Fusion Reversion Meter™ includes:
Directional awareness
Multi-timeframe energy analysis
Smart alerts and automation hooks
Available at fusionpredictor.com
FusionPredict LiteFusionPredict Lite
Single-Timeframe Reversion Target Indicator
FusionPredict Lite highlights where price is statistically likely to revert toward equilibrium after momentum displacement.
Rather than chasing candles, this tool helps you see where price may want to go next — allowing for cleaner entries, better patience, and reduced emotional trading.
LINE COLORS
🟢 Green Line → Reversion target above current price (bullish bias)
🔴 Red Line → Reversion target below current price (bearish bias)
WHY THIS MATTERS
Knowing the reversion level helps you:
Avoid entering directly into a pullback
Anticipate where momentum may pause or unwind
Decide whether to wait for price to come to you or trade continuation confidently
This is useful not only for scalping, but also for timing cleaner entries during strong moves.
HOW TO USE
Watch how price approaches and reacts to the reversion line
Use it to plan entries without chasing price
Best on 1–5 minute charts, but works on all timeframes
Compatible with crypto, forex, futures, indices, and metals
WHAT THIS IS
FusionPredict Lite is the single-timeframe version of the FusionPredict engine.
It measures:
Momentum displacement
Oscillator imbalance
Volatility structure
…and projects where price may revert as energy normalizes.
PAIRS WELL WITH
Fusion Reversion Meter Lite™ — helps determine whether market conditions favor:
A clean move toward the target
Or a continuation without retracement
FULL VERSION
The full FusionPredict™ includes:
Multi-timeframe alignment (up to 6 timeframes)
Smart alerts and confluence logic
Advanced energy-aware projections
Available at fusionpredictor.com
Gold Flow Indicator (5-Min Model)MST XAU Hybrid 5M is a confluence-based technical indicator built specifically for XAUUSD on the 5-minute timeframe.
It uses a combination of exponential moving averages (EMA crossovers), RSI trend strength, and MACD momentum direction to filter out weak signals and highlight only the highest-quality setups.
The tool is designed for scalpers and short-term intraday traders who want clarity in fast market conditions.
No repainting, clean visuals, and easy-to-interpret signals make it suitable for both beginners and advanced traders.
Developer: MST (Maa Sharda Trading)
MADD Monkey Pro DMCx Directional Momentum and Confluence EngineMadd Monkey Pro DMCx is a bias and momentum indicator that helps intraday traders read short-term direction and the strength of current moves. It is designed to provide structured context so you can decide when conditions support your ideas and when they do not.
Purpose
DMCx is built to help you answer:
What is the current directional bias on this chart?
Is momentum supporting that direction or fading?
Does the current environment meet the confluence conditions you have defined?
Core components (high-level logic)
DMCx combines several elements:
Directional engine – evaluates recent price behavior to classify conditions as bullish, bearish or neutral.
Momentum and volatility engine – distinguishes between stronger impulsive moves and slower or less convincing movement.
Confluence layer – optional filters requiring agreement between direction, momentum and other conditions before highlighting a setup.
Signal quality tagging – internal tagging that lets you treat some conditions as higher or lower quality, depending on your configuration.
These components are presented through chart markers and a compact status panel summarizing the current bias and momentum state.
Key features
Clear bias / regime read to show whether price is trending up, trending down or in more neutral conditions.
Momentum and volatility context to help distinguish between strong pushes and weaker phases.
Optional confluence filters so only aligned conditions are highlighted.
A status panel that provides a high-level snapshot of bias, momentum and simple tallies based on how you interpret the output.
Modular controls allowing you to toggle key visuals (signals, labels, panel) on or off to match your preferred chart layout.
Suggested usage
Symbols and timeframes: Can be used on XAUUSD, FX pairs, indices and other liquid instruments. Intraday frames like 15m, 5m or 1h are common use cases, but you may explore higher or lower timeframes according to your own testing.
Define your higher timeframe bias and important price levels using your own methods.
Use DMCx to check:
Whether short-term direction is aligned with your idea.
Whether momentum supports that view or suggests caution.
Consider taking trades only when your setup and the DMCx context agree, and you have clear rules for entry, stop loss and target.
Treat the readings as context, not as standalone entry or exit signals.
Notes and limitations
DMCx does not repaint closed bars, but its bias and momentum states update as new data appears. This is normal for any real-time context tool.
Any performance-style interpretation of the output depends completely on how you choose to use it. The script does not guarantee results.
Risk disclaimer
This script is provided for informational and educational purposes only. It does not constitute financial advice, investment advice or a solicitation to buy or sell any financial instrument. Trading and investing in financial markets involve significant risk, and you can lose more than your initial investment. Past performance and historical behavior do not guarantee future results.
By using Madd Monkey Pro DMCx, you accept full responsibility for your own trading decisions and outcomes. The author is not liable for any loss or damage arising from the use of this script.
macd pro本脚本是对经典 MACD 的改良版本，在保留原有趋势与动能结构的基础上，引入收盘确认与非重绘信号输出机制，提升实时使用的一致性与可执行性。通过动能极值过滤、趋势一致性校验与去噪防抖处理，重点捕捉更高质量的拐点与回归机会，减少随意抄底与摸顶带来的低胜率信号。脚本以闭源方式公开发布，用于保护核心算法细节，同时保留必要的参数与可视化以便按品种与周期进行调优。
This script is an enhanced version of the classic MACD, preserving its trend/momentum structure while adding close-confirmed, non-repainting signal logic for more consistent real-time execution. It combines momentum-extreme filtering, trend-alignment validation, and noise-suppression/debouncing to prioritize higher-quality turning points and mean-reversion opportunities, reducing low-conviction “random bottom/top picking.” The script is published as closed-source to protect proprietary logic while keeping essential inputs and visuals for practical tuning across assets and timeframes.
BTC Regime Oscillator (MC + Spread) [1D]ONLY SUPPOSED TO BE USED FOR BTC PERPS, AND SPOT LEVERAGING:
This is a risk oscillator that measures whether Bitcoin’s price is supported by real capital or is running ahead of it, and converts that into a simple risk-regime oscillator.
It's built with market cap, and FDV, and Z-scores compressed to -100 <-> 100
I created this indicator because I got tired of FOMO Twitter and Wall Street games.
DO NOT USE THIS AS A BEGIN-ALL-AND-END-ALL. YOU NEED TO USE THIS AS A CONFIRMATION INDICATOR, AND ON HTF ONLY (1D>) IF YOU USE THIS ON LOWER TIMEFRAMES, YOU ARE FEEDING YOUR MONEY TO A LOW-LIFE DING BAT ON WALL STREET. HERE IS HOW IT WORKS:
This indicator is Split up by
A) Market Cap
--> Represents real money in BTC
--> Ownership capital
--> If MC is rising, money is entering BTC
B) FDV (Fully Diluted Valuation)
--> For BTC: price(21M) (21,000,000)
--> Represents the theoretical valuation
--> Since BTC really has a fixed cap, FDV mostly tracks the price
C) Oscillators
Both MC and FDV are:
--> Logged (to handle scale)
--> Normalized (Z-score)
--> Compressed to -100 <-> 100
HERE ARE THREE THINGS YOU ARE GOING TO SEE ON THE CHART
A) The market cap oscillator (MC OSC)
--> Normalized trend of real capital
RISING: Indicates capital inflow
FALLING: Indicates capital outflow
B) FDV Oscillator
--> Normalized trend of valuation pressure
ABOVE MC: Price is ahead of capital
BELOW MC: Capital is keeping up
!!!! FDV IS CONTEXT NOT SIGNALS !!!!
C) Spread = (FDV - MC)
--> The difference between valuation and capital
(THIS IS THE CORE SIGNAL)
NEGATIVE: Capital is gonna lead price
NEAR 0: Balanced
POSITIVE: Price leads capital
(THIS MEANS STRESS FOR BTC, NOT DILLUTION!)
WHAT DOES -60, 0, 60 MEAN?:
--> These are meant to serve as risk zones, not buy/sell dynamics; this is not the same as an RSI oscillator.
A) 0 level
--> Price and capital are balanced
--> No structural stress
(TRADE WITH NORMAL POSITION SIZE, AND NORMAL EXPECTATIONS)
B) Below -60 (Supportive/Compressed)
--> BTC is relatively cheap to recent history
--> Capital supports price well
(ALWAYS REMEMBER TO CONFIRM THIS WITH WHAT THE CHART IS TELLING YOU)
--> Press trends
--> Use higher ATRs
--> Pullbacks are better here
C) Above 60 (Overextension, or fragile)
--> BTC is expensive relative to recent history
--> Price is ahead of capital
(ALWAYS REMEMBER TO CONFIRM THIS WITH WHAT THE CHART IS TELLING YOU)
--> Reduce leverage, use smaller ATR
--> Use lower ATRs, TP faster
--> Do not chase breakouts
--> Expect volatility and whipsaws
"Can I press trades right now? Or do I need to hog my capital?"
CONDITIONS:
Spread Less than 0 and below -60 = Press trades
Spread near 0 = Normal trading conditions
Spread is Greater than 0 or above 60+ = Capital protection
Beast Mode PRO v3 Oscillator and SignalsConcept and Underlying Logic
This indicator is a "Composite Regime Filter" designed to solve the problem of single-indicator noise. In standard trading, an RSI might signal "Overbought" while a MACD signals "Bullish," leading to conflicting bias. Beast Mode PRO solves this by normalizing multiple momentum and volatility metrics into a single, unified "Regime Score."
Instead of using raw values (which vary wildly between indicators), this script utilizes Z-Score Normalization. It calculates the statistical mean and standard deviation of six distinct inputs (RSI, CCI, Fisher Transform, DMI, Z-Score, and MA Ratio) over a lookback period. This converts all inputs into a standardized scale (Standard Deviations from the mean), allowing them to be compared mathematically "apples-to-apples."
The Clustering Engine
Once normalized, the script employs a custom Clustering algorithm. It analyzes the distribution of the normalized values to determine the statistical "center" of Bullish, Bearish, and Neutral sentiment.
Vote Aggregation: Each of the six components casts a "vote" based on its position relative to the cluster centers.
Composite Scoring: These votes are averaged to create the "Composite Score" (0-100 scale).
Adaptive Thresholds: Rather than using fixed levels (like RSI 70/30), this script uses dynamic Bollinger Band-based thresholds on the Composite Score to identify significant regime shifts based on current market volatility.
Key Features & Components
1. The Composite Oscillator (Bottom Pane)
This is the heartbeat of the system. It visualizes the aggregated score.
Step Line: Represents the smoothed consensus of the underlying six indicators.
Dynamic Bands: The gray bands expand and contract. Signals are only generated when the consensus score breaks out of these volatility bands, reducing fake-outs during consolidation.
2. Signal Filtering (The "Why" behind the Mashup)
A raw signal is rarely enough. This script integrates three specific filters to prevent trading in low-probability environments:
Chop Filter: Uses an ATR-based Chop Index to detect sideways ranging markets. If the market is chopping, signals are suppressed.
Session Filter: Allows the user to exclude low-volume times (e.g., the gap between NY close and Asia open).
Trend Filter: An optional EMA filter ensures that Bullish regime signals are only valid if price is above the trend baseline, aligning momentum with the macro trend.
3. Cycle & Momentum (CyMo) Toggles
To provide secondary confirmation, the script includes toggles for:
STC (Schaff Trend Cycle): A cycle indicator to detect market tops and bottoms.
SMI (Stochastic Momentum Index): For faster entry timing within the established regime.
4. The Dashboard
A customizable table provides a real-time health check of the asset. It displays the raw values of the six inputs, their current "Vote" (Bull/Bear), and the overall system status (Active, Chop, or Low Vol).
How to Use
This tool is intended for trend-following and swing trading.
Trend Entry: Wait for the candles to turn Green (Bullish Regime) or Red (Bearish Regime) and ensure the Dashboard status is "ACTIVE".
Pullbacks: The small triangle shapes indicate "Trend Re-entries." These occur when the internal oscillator reaches an extreme and snaps back in the direction of the main trend.
Exits: The "TP" circles appear when momentum begins to diverge from price, suggesting a potential exhaustion of the current move.
Settings
Heikin Ashi Source: The script calculates based on Heikin Ashi data to smooth out price noise before processing.
Dashboard: Fully customizable size and location to fit your workspace.
Sensitivity: Users can adjust the "Cluster Count" and "Lookback Window" to tune the responsiveness of the regime detection.
Pythia Compass v 33.1Pythia Compass — Market Energy Direction
Pythia Compass is a minimalist edition of the Pythia project, designed for traders who want a clear and fast view of the market’s internal energy direction.
Despite its simple visual design, Compass runs on the same core algorithmic engine used in the advanced Pythia versions.
It merges the system’s structural and energy signals into a compact visual output:
a vertical market-energy direction scale
a forecast-quality HUD
configurable strength thresholds
early detection of energy shifts before price reacts
Compass does not display Pythia’s full graphical markup — only the final directional energy result, computed from the complete internal signal set.
You can use Pythia Compass:
as a standalone indicator for assessing strength and directional bias
as a filter for any trading strategy
as a lightweight companion to the full Pythia versions
Pythia Compass — simple on the surface, powerful underneath.
Built as an accessible entry point into the Sael Lab ecosystem and the Pythia algorithm family.
LHAMA Oscillator Suite [LTS]Overview
The LHAMA Oscillator Suite is a collection of normalized, LHAMA-based oscillators built to make the behavior of the Low-High Adaptive Moving Average (LHAMA) easier to read in a separate pane. It translates LHAMA’s slope, distance, volatility buffer, intraday drift, and regime bias into six clear visual signals, with optional multi-timeframe overlays so you can compare your current chart to a higher-timeframe context at a glance.
Core concept
LHAMA is a custom adaptive moving average that responds more strongly when price is making new local highs or lows, and can optionally weight those moves by volume. The oscillator suite takes that adaptive line and derives several normalized measures (mostly scaled to ±100) around a zero line so you can:
See when LHAMA is meaningfully trending vs flat
Measure how far price has moved away from LHAMA in ATR terms
Track how far the LHAMA trend has “stretched” into its ATR cloud buffer
Follow intraday drift from a daily reset point
Visualize simple bull / bear / neutral states as a background regime filter
Available Oscillators
LHAMA Slope
Measures the angle of the LHAMA in ATR-normalized degrees, capped and rescaled to approximately –100 to +100. Positive values show rising LHAMA, negative values show falling LHAMA. The “Entry Slope (deg)” input defines when the line is considered strongly bullish or bearish. This is the primary trend-impulse oscillator in the suite.
Price Distance to LHAMA
Shows how far price is from the LHAMA in units of ATR, normalized to ±100. Large positive values indicate price trading well above the LHAMA; large negative values show price trading well below it. This is useful for spotting extensions away from the adaptive mean (for both continuation and mean-reversion style analysis).
LHAMA Cloud Buffer
Tracks the dynamic distance between LHAMA and its ATR-based “cloud boundary,” with the sign reflecting which side of the trend you are on. As the trend extends, the buffer widens; when LHAMA flips through the buffer, the sign changes. This makes it easy to see how mature or compressed a trend’s protective buffer is.
Trend Regime Bias
A smoothed, sigmoid transform of the LHAMA angle, converted to a bias between –100 and +100. Rather than focusing on raw slope, this oscillator highlights the underlying regime: values near +100 represent a strong bullish bias, values near –100 a strong bearish bias, and values near zero a more neutral environment.
Session Drift from Reset
Measures how far LHAMA has drifted from its value at a daily reset time (e.g., a futures session close), scaled by ATR and the square root of bars since reset. The result is a Z-score–style oscillator capped to ±100, which helps you gauge how extended the current session is relative to typical intraday movement.
LHAMA State (Background)
A simple state signal that classifies LHAMA as bullish, bearish, or neutral based on the angle and your slope threshold. It is typically used to tint the background of the oscillator pane, and can also be plotted from a higher-timeframe for regime stacking.
Multi-timeframe overlays
Each oscillator can optionally display a second, higher-timeframe (“MTF”) version drawn on the same scale. You can choose a custom MTF resolution (e.g., 15m while trading 1m), and independently toggle which MTF oscillators to show:
MTF LHAMA Slope
MTF Price Distance
MTF Cloud Buffer
MTF Regime Bias
MTF Session Drift
MTF LHAMA State background
This allows you to, for example, trade from the lower timeframe while aligning entries with the higher-timeframe trend regime or mean-reversion context.
Visualization and coloring
All oscillators are plotted around a zero line , with optional reference bands at ±80 to highlight stronger conditions.
Each oscillator can use one of three coloring styles:
Gradient : color intensity increases with the magnitude of the signal.
Flat : fixed bull / bear colors above and below zero.
Single Color : a single color regardless of sign, for minimalistic views.
A separate bull and bear color is available for each oscillator, and you can smooth most outputs with an EMA to reduce noise while keeping the raw calculations intact. You can also choose to disable to shaded area of each line for further visual differentiation.
Key settings
LHAMA settings : length, optional volume weighting, and a daily reset session to realign the moving average after overnight gaps.
Volatility settings : ATR length for both slope normalization and distance calculations.
Cloud settings : ATR multiplier used to define the LHAMA cloud buffer.
Appearance : optional smoothing length, zero-line color, ±80 bands toggle, and all per-oscillator color choices.
MTF overlays : higher-timeframe resolution and per-oscillator toggles for the MTF pack.
The script does not use lookahead settings in its data requests and does not draw future values; all signals are computed using information available at each bar in real time, in line with TradingView’s execution model and publishing guidelines.
Orca Trade PendulumMomentum oscillator with dual-EMA engine, ATR normalization, and Flip reversal signals. Candle coloring and dynamic histogram included.
Orca Trade Pendulum is a closed-source momentum and reversal detection oscillator designed to identify shifts in trend strength, momentum acceleration, and key turning points.
It combines a dual-EMA engine, ATR normalization, a dynamic pendulum-style histogram, and a Flip-Signal system that highlights moments when momentum changes direction after leaving overbought or oversold zones.
Key features:
• ORCA Dual-EMA Momentum Engine
• ATR-normalized oscillator for adaptive scaling
• Pendulum Histogram showing momentum acceleration and deceleration
• Flip Signals confirming momentum reversal after OB/OS exit
• Automatic candle coloring on flip confirmation
• Optional signal line for smooth trend interpretation
• Overbought and oversold levels with background highlighting
This is a protected-source script.
The code is hidden and cannot be viewed or copied.
The script is provided for testing and evaluation.
Estrategia Visual PRO: Momentum EditionIndicador con estrategia propia basado en cruce de emas editables son sombreado de tendencia del precio y niveles de soporte y resistencias donde el precio tiene reaccion, tambien cuenta con filtro de rsi donde colorea las velas segun la fuerza del rsi, colores editables y cuando el precio pierde fuerza
This indicator, with its own strategy based on editable EMA crossovers, features price trend shading and support and resistance levels where the price reacts. It also includes an RSI filter that colors the candles according to the strength of the RSI, with editable colors, and alerts you when the price loses strength.
RSI Pivot Breaks█ OVERVIEW
RSI Pivot Breaks is an RSI-based indicator that detects breakout events on oscillator-based pivot levels (RSI or MA RSI).
The tool automatically plots pivot levels, tracks their breakouts, highlights momentum shifts, and generates alerts for key events (pivot breaks and OB/OS crosses).
The indicator is designed primarily for momentum strategies — pivot breakouts often precede directional price moves, making RSI Pivot Breaks a powerful tool for identifying accelerations and changes in strength.
█ CONCEPTS
The indicator analyzes local RSI extremes and transforms them into dynamic support/resistance levels.
When RSI or MA RSI breaks the last pivot, it signals a shift in momentum balance, often leading to an impulse move.
Key concepts:
- pivot highs/lows detected on RSI or MA RSI,
- pivot lines extend forward until broken,
- pivot filters restrict pivot detection to specific RSI zones,
- OB/OS levels provide contextual momentum thresholds.
█ FEATURES
Pivot Detection & Breakouts
- Detection of pivot highs and lows on RSI or MA RSI.
- Pivot filters allow you to limit pivot detection to specific RSI ranges (e.g., only bullish pivots below 50 or bearish pivots above 50).
- Pivot lines update automatically after breakout.
Background highlights:
- green on pivot-high breakouts,
- red on pivot-low breakouts.
RSI & MA RSI
- Dynamic RSI colors based on momentum direction.
- Optional MA RSI line (SMA/EMA/RMA/WMA) usable as a smoother pivot source.
OB / OS Zones
- Fully adjustable overbought/oversold levels.
- Dedicated OB/OS colors.
- Optional gradient backgrounds.
Highlights
- Instant identification of moments when RSI breaks a key pivot level.
Alerts:
- pivot high breakouts.
- pivot low breakouts.
- OB crosses.
- OS crosses.
█ HOW TO USE
Add the indicator:
Indicators → RSI Pivot Breaks.
RSI Settings
- RSI Length – core RSI period.
- RSI MA Length & Type – MA RSI smoothing parameters.
Pivot Settings
- Pivot Left / Pivot Right – number of bars required to form a pivot and also the number of bars of delay before the pivot becomes confirmed.
(Higher values produce more reliable but slower pivots.)
Pivot Filters
- Minimum/maximum allowed RSI levels for pivot Highs and Lows.
- Examples:
- detect only pivot Highs at low RSI values.
- ignore pivots during extreme momentum.
- allow only mid-range pivot detection depending on strategy.
Visualization
- Toggles for RSI and MA RSI visibility.
- Optional gradients.
- Full color and transparency customization.
OB/OS Levels
- Adjustable thresholds depending on instrument volatility and strategy style.
█ SIGNAL INTERPRETATION
BUY
- RSI breaks the latest pivot high.
- RSI crosses upward out of OS.
- Context example: pivot lows forming a rising sequence.
SELL
- RSI breaks the latest pivot low.
- RSI drops downward from OB.
- Context example: pivot highs forming a declining sequence.
Trend / Momentum
- Pivot breakouts indicate acceleration or continuation of momentum.
- MA-based pivots provide smoother and more stable momentum structure.
█ APPLICATIONS
- Momentum Trading – pivot breaks as early acceleration signals.
- Scalping & Intraday – fast RSI pivots react quickly to short-term shifts.
- Swing Trading – smoother pivots using MA RSI for higher-timeframe structure.
- Divergence Detection – pivot behavior helps reveal divergence patterns, e.g.:
- RSI pivots rising while price is falling → potential early momentum reversal.
- Custom Filtering – pivot filters allow, for example:
- blocking bullish signals near OB.
- blocking bearish signals near OS.
- detecting pivots only above/below mid-range during strong trends,
depending entirely on strategy design.
█ NOTES
- Pivot detection includes natural delay equal to the Left/Right parameters.
- Pivot filters significantly change the character of signals, allowing fine-tuning of aggressiveness for any strategy.
VCAI MACD LiteVCAI MACD Lite is a clean, modern version of the classic MACD oscillator, rebuilt with selectable EMA/SMA types and a 2-tone histogram using VCAI’s visual style.
It keeps the indicator lightweight and easy to read while giving clearer momentum shifts through rising/falling histogram colour changes.
What it does
Calculates MACD using your choice of EMA or SMA
Plots signal line and histogram with 2-tone VCAI colours
Highlights changes in momentum strength as histogram bars rise or fade
Works on any market and timeframe
How to use it
Expanding yellow bars reflect strengthening upside momentum; dim yellow shows fading strength.
Darker and lighter VCAI purple tones show momentum behaviour below zero, helping you see when bearish pressure is increasing or weakening.
Part of the VCAI Lite Series — clean, minimal tools.
Institutional MF-Vol Compression Scanner v4.0 [BIG]═══════════════════════════════════════════════════════════════════════════════
BIG COMPRESSION SCANNER v4.0
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OVERVIEW
The BIG Compression Scanner v4.0 is a proprietary volatility regime detection system designed for systematic Daily options deployment. This framework identifies pre-expansion volatility compression zones through multi-dimensional market structure analysis, combining institutional positioning patterns with hierarchical timeframe confirmation and options market structure to generate high-conviction directional signals for premium strategies.
The methodology synthesizes volatility dynamics, liquidity flow patterns, and cross-timeframe regime alignment into a probabilistic scoring system that isolates asymmetric risk-reward setups characteristic of compression-to-expansion transitions. The framework is calibrated specifically for 30-45 DTE options strategies where timing precision and volatility environment assessment are critical to edge generation.
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CORE METHODOLOGY
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• Proprietary Compression Detection
The system employs a multi-factor compression identification framework that monitors volatility regime transitions across price dispersion metrics and range contraction patterns. Unlike single-indicator squeeze systems, this methodology uses weighted ensemble logic to distinguish true pre-expansion compression from random consolidation noise.
Compression strength is quantified through a proprietary scoring algorithm (0-100%) that evaluates:
- Statistical volatility contraction relative to historical norms
- Price range compression within dynamic envelope systems
- Institutional volume signature analysis during low-volatility periods
- Cross-timeframe compression alignment (Daily/Weekly/Monthly hierarchy)
The framework filters compression events based on minimum strength thresholds and multi-bar confirmation to eliminate premature signals characteristic of retail squeeze indicators.
• Hierarchical Multi-Timeframe Architecture
The indicator integrates a three-tier temporal analysis structure where higher timeframes constrain and validate lower timeframe signals:
Strategic Layer (Monthly) – Establishes macro directional bias and identifies structural market positioning. This layer determines whether intermediate trends align with or counter dominant regime dynamics.
Structural Layer (Weekly) – Provides tactical context through key price levels, momentum assessment, and volatility regime confirmation. Weekly analysis filters signals that would occur in unfavorable proximity to structural inflection zones.
Execution Layer (Daily) – Generates precise entry timing through intraday regime shift detection, momentum confluence analysis, and institutional flow pattern recognition.
Each layer contributes weighted influence to the composite directional probability model, with recalibration logic that adjusts timeframe importance based on current market regime characteristics. The exact weighting algorithm is proprietary and adapts to volatility environment dynamics.
• Options Market Structure Integration
Version 4.0 incorporates options-specific market intelligence not available in standard technical analysis frameworks:
Volatility Environment Assessment – The system continuously monitors implied volatility regime characteristics through proprietary estimation models. These models identify whether current premium levels favor buying or selling strategies, adjusting signal generation accordingly.
Temporal Decay Awareness – Built-in expiration cycle logic ensures signals only trigger when sufficient time value remains for thesis development. The framework approximates days-to-expiration and applies minimum threshold filters to prevent entries in high theta decay regimes.
Greeks-Aware Targeting – Price targets are dynamically calibrated based on volatility expansion expectations and estimated leverage characteristics. Target multipliers adjust to current options market structure rather than using fixed risk-reward ratios.
Premium Environment Classification – Signals are enhanced with real-time assessment of whether current volatility levels favor long premium, short premium, or spread strategies based on historical percentile analysis.
• Probabilistic Directional Scoring System
Rather than binary bullish/bearish classification, the framework generates probability-weighted directional bias through a proprietary multi-factor model. This model synthesizes trend alignment metrics, momentum characteristics, structural positioning, and institutional flow signatures into normalized probability distributions.
The scoring system evaluates dozens of market structure variables across multiple timeframes, applies regime-dependent weighting, and produces directional probabilities that reflect actual edge rather than arbitrary technical indicator thresholds. Signal generation occurs only when directional probability exceeds user-defined conviction thresholds (55-65% depending on sensitivity setting).
This probabilistic approach allows traders to calibrate position sizing and strategy selection (outright vs. spreads) to the strength of directional conviction rather than treating all signals as equal weight.
• Institutional Flow Detection
The framework monitors volume and price interaction patterns characteristic of institutional accumulation or distribution during compression phases. This analysis identifies whether compression zones contain building directional positions (high probability of sustained move post-breakout) versus thin, choppy consolidation (high false breakout risk).
Flow detection employs proprietary algorithms that distinguish genuine institutional activity from retail volume spikes, providing critical context for signal validation.
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SIGNAL ARCHITECTURE
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Call Option Signals trigger when compression strength, directional probability, timeframe alignment, options market structure, and institutional flow patterns simultaneously satisfy proprietary threshold criteria. Signals are filtered against weekly structural levels to avoid low-probability entries near major resistance zones.
Put Option Signals follow equivalent logic with inverse directional parameters, ensuring symmetrical framework application across bull and bear setups.
All signals include:
- Directional conviction probability (percentage)
- Current volatility environment assessment (IV Rank proxy)
- Dynamic price target based on expansion expectations
- Multi-timeframe alignment status
Signal cooldown logic prevents excessive signal generation during extended consolidation periods, maintaining signal quality over quantity.
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VISUAL INTELLIGENCE
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Real-Time Multi-Timeframe Dashboard
The top-right panel provides continuous visibility into:
- Trend alignment across Daily/Weekly/Monthly timeframes
- Current compression status at each temporal layer
- Momentum regime characteristics (RSI values)
- Options environment assessment (IV Rank, optimal strategy)
- Composite signal readiness (compression strength percentage)
This dashboard enables rapid regime assessment without manual multi-timeframe chart analysis.
Chart Integration
Visual overlays include:
- Volatility envelope systems (dynamic bands)
- Weekly structural price levels (pivot, resistance, support)
- Compression zone highlighting (background shading)
- Active squeeze indicators (Daily and Weekly differentiation)
Signal Labels
When setups trigger, comprehensive labels display:
📈 CALL OPTION
Prob: XX%
IV Rank: XX%
Target: $XXX.XX
Labels provide all critical execution information without requiring dashboard consultation.
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KEY CAPABILITIES
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- Proprietary multi-factor compression detection with adaptive thresholds
- Hierarchical multi-timeframe confirmation (Daily/Weekly/Monthly)
- Options-specific filters (IV regime, DTE requirements, Greeks awareness)
- Probabilistic directional scoring (0-100% conviction levels)
- Institutional flow pattern recognition during compression
- Weekly structural level integration with proximity filters
- Dynamic target calibration based on volatility expansion expectations
- Real-time multi-timeframe regime dashboard
- Customizable sensitivity and threshold parameters
- Non-repainting signal architecture (bar close confirmation)
- Comprehensive alert system for proactive monitoring
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APPLICATION GUIDELINES
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1. Timeframe Selection
Apply to Daily (D1) charts only. Framework calibration is timeframe-specific; other intervals produce suboptimal results.
2. Options Mode Activation
Enable Options Trading Mode for premium strategy optimization. This activates IV filtering, DTE thresholds, and Greeks-aware targeting.
3. Strategy Calibration
- Premium Buying: Set IV threshold to 50th percentile, DTE minimum 30+ days, target multiplier 2.5-3.0×
- Premium Selling: Set IV threshold to 70th+ percentile, DTE minimum 20-30 days, target multiplier 1.5-2.0×
4. MTF Dashboard Monitoring
Verify multi-timeframe alignment before execution:
- Ideal setup: Daily + Weekly compression both active
- Confirm trend alignment across timeframes
- Check IV Rank for premium environment assessment
- Wait for "READY" status (green) indicating threshold satisfaction
5. Signal Execution
When labels appear:
- Review directional probability (target >65% for high conviction)
- Assess IV environment (low IV favors buying, high IV favors selling)
- Use price target for strike selection and profit objectives
- Consider 30-45 DTE options for thesis development time
6. Risk Management
- Position size: 2-5% options capital per signal
- Stop loss: Exit if compression breaks opposite direction without follow-through
- Time stop: Reassess if position stagnant after 5-7 days
- Profit taking: Scale out at provided targets or weekly pivot levels
7. Sensitivity Adjustment
- High (55%): More signals, lower conviction, diversified approach
- Medium (60%): Balanced, default setting (2-4 signals/month typical)
- Low (65%): Fewer signals, higher conviction, concentrated positions
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FRAMEWORK LIMITATIONS
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- Optimized exclusively for Daily timeframe analysis
- Compression development requires patience (2-4 weeks typical)
- IV metrics are proprietary proxies, not direct exchange data
- Greeks estimations approximate actual options contract characteristics
- DTE calculations simplified vs. precise monthly expiration dates
- Multi-timeframe filtering reduces but cannot eliminate false breakouts
- Requires liquid options markets (tight spreads, adequate open interest)
- Not designed for earnings-driven volatility events (IV crush risk)
- Framework identifies timing, not specific strike or expiration selection
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TECHNICAL SPECIFICATIONS
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- Pine Script v5 architecture
- Non-repainting signal confirmation (bar close validation)
- Multi-security data integration (Weekly/Monthly via request.security)
- Real-time multi-timeframe analysis dashboard
- 4 alert conditions (Call/Put options, directional generic)
- Fully customizable parameters (compression, scoring, filters, visuals)
- Professional-grade visual hierarchy and information density
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PROFESSIONAL CONTEXT
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This framework is designed for systematic options traders with working knowledge of:
- Volatility regime dynamics and expansion/contraction cycles
- Options Greeks and their impact on P&L across various market conditions
- Implied Volatility Rank interpretation and premium pricing assessment
- Multi-timeframe analysis methodology and trend hierarchy
- Risk-adjusted position sizing and portfolio construction principles
The system identifies when market structure favors options deployment but does not prescribe how to construct positions. Strike selection, expiration choice, spread architecture, and position sizing require independent trader judgment based on account parameters and risk tolerance.
Optimal deployment combines this framework with:
- Options analytics platform (actual IV, Greeks, probability calculations)
- Earnings calendar awareness (pre-earnings IV inflation vs. post-earnings crush)
- Broader market regime context (VIX, correlation, sector rotation)
- Portfolio-level risk management (concentration limits, correlation analysis)
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Proprietary compression-to-expansion framework for systematic Daily options deployment. Methodology incorporates multi-dimensional volatility analysis, hierarchical timeframe confirmation, and options market structure intelligence.
NHNL Breadth Scanner [BIG]═══════════════════════════════════════════════════════════════════════════════
NVENTURES NHNL BREADTH SYSTEM v2.0
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OVERVIEW
The NVentures NHNL Breadth System is an institutional-grade market breadth analysis framework designed for equity traders, portfolio managers, and market technicians who require comprehensive internal market structure visibility beyond price action alone. This system integrates New Highs - New Lows (NHNL) data across multiple exchanges with participation breadth metrics to identify market regime shifts, thrust conditions, divergences, and rotation dynamics between large-cap and small-cap equities.
Version 2.0 introduces the Participation Breadth Module , which monitors the percentage of stocks above their 50-day moving averages across S&P 500, Russell 2000, and NASDAQ 100 indices. This extension enables detection of Risk-On/Risk-Off rotations and narrow rally conditions—critical information for portfolio construction, sector allocation, and tactical hedging decisions.
The framework combines:
- Multi-exchange NHNL aggregation – NYSE, NASDAQ, AMEX breadth data integration
- McClellan Oscillator – Exponential moving average difference for trend momentum
- Thrust detection – Extreme breadth expansion/contraction identification
- Divergence analysis – Price vs. breadth non-confirmation patterns
- Participation breadth – Large-cap vs. small-cap rotation detection
- Composite signal scoring – Multi-factor quantitative breadth assessment
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CORE METHODOLOGY
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• NHNL Data Aggregation
The system retrieves daily New Highs and New Lows from three major U.S. exchanges:
- NYSE – INDEX:HIGN (New Highs), INDEX:LOWN (New Lows)
- NASDAQ – INDEX:HIGQ (New Highs), INDEX:LOWQ (New Lows)
- AMEX – INDEX:HIGA (New Highs), INDEX:LOWA (New Lows)
Users can toggle exchanges on/off to isolate specific market segments. All three exchanges are enabled by default for comprehensive market-wide breadth measurement.
Core Calculations :
- NHNL Raw = Total New Highs - Total New Lows
- NHNL % = (NHNL Raw / Total Issues) × 100
- NH/NL Ratio = New Highs / New Lows
These metrics quantify the internal strength or weakness of market advances/declines independent of price index levels.
• McClellan Oscillator
The McClellan Oscillator applies exponential moving average (EMA) logic to NHNL data:
Formula: McClellan Osc = EMA(NHNL, Fast) - EMA(NHNL, Slow)
Default parameters: Fast = 19, Slow = 39
Interpretation :
- Positive values = Breadth momentum favors bulls (more issues making new highs)
- Negative values = Breadth momentum favors bears (more issues making new lows)
- Zero-line crosses = Regime change signals (bullish above, bearish below)
- Extreme readings (>±100) = Overbought/oversold breadth conditions
The McClellan Oscillator is a standard institutional breadth tool used by market technicians since the 1960s. It smooths daily NHNL volatility while maintaining responsiveness to trend changes.
• Thrust Detection
Thrust conditions identify extreme breadth expansion or contraction that historically precedes sustained directional moves:
Bullish Thrust :
- NHNL % > Threshold (default +40%)
- Sustained for Confirmation Bars (default 2 bars)
- Context : Extreme positive breadth expansion. Historically associated with major rally initiations or continuation thrusts.
Bearish Thrust :
- NHNL % < -Threshold (default -40%)
- Sustained for Confirmation Bars (default 2 bars)
- Context : Extreme negative breadth contraction. Historically associated with panic selling, capitulation events, or major downtrend acceleration.
Thrust conditions are the highest-priority signals in the framework and override other conflicting indicators.
• Divergence Detection
The system identifies non-confirmation patterns between price action and breadth:
Bullish Divergence :
- Price makes lower low
- NHNL % makes higher low
- Context : Selling pressure exhausting despite lower prices. Potential reversal signal as fewer stocks participate in decline.
Bearish Divergence :
- Price makes higher high
- NHNL % makes lower high
- Context : Rally losing internal momentum despite higher prices. Potential reversal signal as fewer stocks participate in advance.
Divergences use pivot detection with configurable lookback periods (default 50 bars) and pivot strength (default 5 bars). Visual divergence lines are drawn directly on the price chart when detected.
• Participation Breadth Module (NEW in v2.0)
This module monitors the percentage of stocks trading above their 50-day moving average across three major indices:
- S&P 500 – INDEX:S5FI (Large-cap participation)
- Russell 2000 – INDEX:R2FI (Small-cap participation)
- NASDAQ 100 – INDEX:NDFI (Tech-cap participation)
Rotation Spread Calculation :
Rotation Spread = Russell 2000 % Above 50D - S&P 500 % Above 50D
Interpretation :
- Positive Spread (>+10%) = Risk-On Rotation
Small caps outperforming large caps. Broad market participation. Risk appetite expanding.
- Negative Spread (<-10%) = Risk-Off Rotation
Large caps outperforming small caps. Narrow rally / defensive positioning. Flight to quality or concentration risk.
- Neutral (-10% to +10%) = Balanced market, no clear rotation
This spread identifies critical regime changes between broad market participation (healthy) and narrow leadership (fragile). Risk-On rotations typically occur during economic expansion phases; Risk-Off rotations occur during uncertainty, recession fears, or late-cycle conditions.
• Composite Signal Score
The framework generates a quantitative breadth score (-100 to +100) by weighting five components:
1. Thrust Score (±40 points) – Active thrust condition
2. Trend Score (±30 points) – McClellan Oscillator above/below zero
3. Momentum Score (±20 points) – NHNL % magnitude
4. Ratio Score (±10 points) – NH/NL Ratio extremes
5. Participation Score (±15 points) – Risk-On/Risk-Off regime + participation health
The composite score is smoothed (EMA 5) and classified into five breadth states:
- +50 to +100 = Strong Bull
- +20 to +50 = Bullish
- -20 to +20 = Neutral
- -50 to -20 = Bearish
- -100 to -50 = Strong Bear
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SIGNAL HIERARCHY & PRIORITY
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The indicator generates multiple signal types with distinct priority levels:
Priority 1: Thrust Signals (Highest conviction)
- Green triangle below bar = Bullish Thrust (40%+ breadth expansion)
- Red triangle above bar = Bearish Thrust (40%+ breadth contraction)
- Chart background highlighted in green/red during active thrust
Priority 2: Rotation Signals (Regime identification)
- Cyan diamond below bar = Risk-On Rotation (small caps outperforming)
- Orange diamond above bar = Risk-Off Rotation (large caps outperforming)
- Chart background highlighted in cyan/orange during active rotation
Priority 3: Divergence Signals (Reversal warnings)
- Green label below bar = Bullish Divergence (price/breadth non-confirmation)
- Red label above bar = Bearish Divergence (price/breadth non-confirmation)
- Dashed lines connect divergence pivot points on price chart
Priority 4: Zero-Line Cross (Trend changes)
- Small circle below bar = McClellan crossing above zero (breadth turning positive)
- Small circle above bar = McClellan crossing below zero (breadth turning negative)
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VISUAL COMPONENTS
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• Comprehensive Information Panel
The top-right dashboard (position customizable) displays:
Section 1: Raw NHNL Data
- Total New Highs (green)
- Total New Lows (red)
- Exchange breakdown (NYSE, NASDAQ, AMEX) with individual deltas
Section 2: Core Metrics
- NHNL % with visual indicator (🔥 for thrusts, arrows for direction)
- NH/NL Ratio with strength bars
- McClellan Oscillator with directional arrows
Section 3: Participation Breadth (NEW)
- S&P 500 % above 50D MA with trend arrow
- Russell 2000 % above 50D MA with trend arrow
- NASDAQ 100 % above 50D MA with trend arrow
- Rotation Spread with regime icon (🚀 Risk-On, 🛡️ Risk-Off)
Section 4: Composite Assessment
- Signal Score (-100 to +100) with visual strength bars
- Market Status (large text): BULLISH THRUST, BEARISH THRUST, RISK-ON ROTATION, RISK-OFF ROTATION, or breadth state classification
• Chart Overlays
- Background color-coding for active regimes (thrust, rotation, extreme readings)
- Signal markers (triangles, diamonds, circles, labels) at key inflection points
- Divergence lines connecting pivot highs/lows on price chart
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KEY FEATURES
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- Multi-exchange breadth aggregation – NYSE, NASDAQ, AMEX with individual on/off toggles
- Institutional McClellan Oscillator – Standard market breadth momentum tool
- Automated thrust detection – Identifies extreme breadth conditions with confirmation logic
- Price-breadth divergence scanning – Non-confirmation pattern detection with visual lines
- Participation breadth integration – Risk-On/Risk-Off rotation detection via large-cap vs. small-cap analysis
- Composite signal scoring – Quantitative multi-factor breadth assessment
- No repainting – All signals confirm on bar close
- Comprehensive alerting – 12+ alert conditions for thrust, divergence, rotation, and confluence events
- Fully customizable parameters – EMA periods, thresholds, lookbacks, visual settings
- Professional dashboard – Real-time metrics with color-coded status indicators
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HOW TO USE
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1. Apply to any chart – The indicator pulls multi-security data; chart symbol does not matter (commonly applied to SPY, SPX, or QQQ for reference)
2. Monitor the dashboard :
• Focus on Market Status (bottom row) for current regime
• Check NHNL % and McClellan for breadth direction and momentum
• Watch Rotation Spread for large-cap vs. small-cap dynamics
• Review Signal Score for composite breadth strength
3. Interpret thrust signals (highest priority):
• Bullish Thrust → Major rally initiation or continuation likely. Consider adding long exposure or reducing hedges.
• Bearish Thrust → Major decline or capitulation event likely. Consider reducing exposure or adding hedges.
• Historical context: Thrust signals are rare (2-5 per year) but highly reliable for significant market moves.
4. Interpret rotation signals (regime identification):
• Risk-On Rotation → Broad market participation. Small caps outperforming. Healthy advance. Favor cyclical sectors, higher beta names.
• Risk-Off Rotation → Narrow rally or defensive positioning. Large caps outperforming. Caution—market leadership concentrating. Favor quality, defensives.
5. Interpret divergence signals (reversal warnings):
• Bullish Divergence → Selling exhaustion. Potential bottom formation. Wait for confirmation (zero-line cross, thrust) before aggressive positioning.
• Bearish Divergence → Rally losing momentum. Potential top formation. Consider profit-taking or hedging.
6. Combine signals for maximum conviction :
• Bull Confluence : Bullish Thrust + Risk-On Rotation + Positive McClellan = Maximum bullish alignment
• Bear Confluence : Bearish Thrust + Risk-Off Rotation + Negative McClellan = Maximum bearish alignment
• Alert system specifically flags these high-conviction confluences
7. Configure parameters for your style :
• Thrust Threshold : Default 40% catches major moves. Increase to 50%+ for extreme-only signals.
• Rotation Threshold : Default 10% spread. Tighten to 7.5% for earlier rotation detection.
• Divergence Lookback : Default 50 bars. Extend to 100+ for longer-term divergences.
8. Use alerts for proactive monitoring :
• Set TradingView alerts for Thrust, Rotation, Divergence, and Confluence conditions
• Receive notifications when critical breadth regime changes occur
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LIMITATIONS
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- U.S. equity markets only – NHNL data limited to NYSE, NASDAQ, AMEX. Does not cover international markets or other asset classes.
- Daily timeframe only – NHNL data is reported daily. Intraday trading requires alternative breadth measures.
- Lagging in fast reversals – McClellan Oscillator and participation metrics use EMAs, introducing lag during rapid regime shifts. Thrust signals respond faster but require extreme conditions.
- Equal-weighting assumption – All stocks within NHNL counts are equally weighted. Large-cap-dominated rallies (e.g., FANG-led advances) may show strong price performance despite mediocre breadth.
- False positives in sideways markets – Divergence signals can produce false positives during extended consolidation phases. Require confirmation from thrust or rotation signals.
- Participation data quality – S5FI, R2FI, NDFI data from TradingView may have occasional gaps or delays. Indicator includes data validation logic and falls back gracefully when data unavailable.
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TECHNICAL SPECIFICATIONS
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- Pine Script v5
- Non-repainting (signals confirmed on bar close)
- Multi-security data feeds (6 NHNL tickers + 3 participation tickers)
- Maximum 500 lines supported (divergence line drawing)
- Real-time dashboard table with 20+ rows
- 12+ alert conditions (thrust, divergence, rotation, ratio extremes, confluence)
- Fully customizable colors, thresholds, and visual elements
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NOTES
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This indicator is designed for experienced equity traders, portfolio managers, and market technicians familiar with:
- Market breadth analysis and internal market structure
- McClellan Oscillator interpretation
- New High - New Low dynamics and their correlation with market cycles
- Large-cap vs. small-cap rotation patterns
- Risk-On/Risk-Off regime identification
The framework provides objective breadth signals but does not account for:
- Fundamental catalysts (earnings, economic data, Fed policy)
- Sector-specific dynamics (may show broad weakness while certain sectors thrive)
- International market correlations
- Volatility regime changes (VIX dynamics)
Best used in combination with:
- Price action analysis (support/resistance, chart patterns)
- Volume analysis (accumulation/distribution)
- Volatility indicators (VIX, put/call ratios)
- Sentiment indicators (survey data, positioning)
Market breadth is a leading indicator of internal market health. Divergences between price and breadth often precede major reversals by weeks or months.
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Developed for institutional market breadth analysis based on New Highs - New Lows methodology with extended participation breadth integration.
Majors FX-REER/NEER Suite [BIG]═══════════════════════════════════════════════════════════════════════════════
BIG MAJORS FX-REER/NEER SUITE
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OVERVIEW
The BIG Majors FX-REER/NEER Suite is a multi-currency valuation framework designed for institutional FX traders, macro strategists, and systematic currency allocators. This indicator calculates Real Effective Exchange Rates (REER) and Nominal Effective Exchange Rates (NEER) for the seven major currency pairs (G7 FX), integrating macroeconomic fundamentals (CPI inflation differentials) with technical trend analysis to identify structural currency misvaluations and mean-reversion opportunities.
Unlike standard FX indicators that only analyze bilateral price action, this suite constructs trade-weighted basket indices that measure each currency's strength against a portfolio of its major trading partners, adjusted for inflation differentials. This approach mirrors central bank and sovereign wealth fund methodologies for assessing equilibrium exchange rate levels.
The framework combines:
- Fundamental valuation metrics – REER/NEER indices with Z-score normalization
- Technical trend filters – Ichimoku Cloud and Aroon oscillator confluence
- Signal classification system – Long/Short/Watch/Conflict regime identification
- Quantitative confidence scoring – 0-100% signal reliability weighting
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CORE METHODOLOGY
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• NEER Calculation (Nominal Effective Exchange Rate)
The NEER measures a currency's value against a trade-weighted basket of its seven major trading partners, geometrically averaged in log-space to ensure symmetry:
1. All seven G7 FX pairs are normalized to USD-pivot (A/USD format)
2. Each currency's log-normalized rate is compared to the arithmetic mean of the other six
3. Formula: NEER_i = (8/7) × log(CCY_i/USD) - mean(log(CCY_others/USD))
This construction ensures that:
- A rising NEER indicates currency appreciation against the basket
- The methodology is symmetric and avoids base-currency bias
- Changes reflect multilateral competitive dynamics, not just bilateral moves
• REER Calculation (Real Effective Exchange Rate)
The REER adjusts the NEER for inflation differentials using Consumer Price Index (CPI) data:
Formula: REER_i = NEER_i + log(CPI_i) - mean(log(CPI_others))
By incorporating CPI differentials, the REER provides a purchasing-power-parity-adjusted valuation metric that accounts for relative inflation rates. This is the institutional standard for assessing fundamental currency equilibrium levels.
Data Sources :
- FX rates: TradingView composite feed (FX:), OANDA, FXCM, FOREXCOM
- CPI data: ECONOMICS namespace (monthly frequency, official statistical releases)
- Supported currencies: USD, EUR, JPY, GBP, CHF, AUD, CAD, NZD
• Valuation Bias Detection
Each currency pair is classified as overvalued (bias = -1, "Short") or undervalued (bias = +1, "Long") based on two independent criteria:
1. Percentage Band Deviation – Relative Index distance from 100 baseline
• Overvalued: Index > 100 × (1 + deviation%), default +5%
• Undervalued: Index < 100 × (1 - deviation%), default -5%
2. Z-Score Threshold – Statistical extremes in rolling lookback window
• Overvalued: Z-Score > +1.5 (default)
• Undervalued: Z-Score < -1.5 (default)
Either condition triggers a bias classification. This dual-filter approach captures both absolute deviations and relative extremes within recent historical context.
• Trend Confirmation (Ichimoku + Aroon)
To avoid counter-trend entries in strong momentum regimes, the suite integrates two independent trend filters:
Ichimoku Cloud
- Bull: Price > Cloud AND Conversion > Base Line
- Bear: Price < Cloud AND Conversion < Base Line
- Parameters: Conv(9), Base(26), Span B(52), Displacement(26)
Aroon Oscillator
- Bull: Aroon Up > 70 AND Aroon Down < 30
- Bear: Aroon Down > 70 AND Aroon Up < 30
- Default lookback: 25 periods
Trend is confirmed only when both indicators agree (Ichimoku + Aroon ≥ +1 for bull, ≤ -1 for bear).
• Setup Classification Logic
The framework combines Bias (fundamental valuation) with Trend (technical momentum) to generate four distinct setup types:
- Long↗︎ (Setup = 1) – Undervalued + Bullish Trend
Context : Mean reversion opportunity with momentum confirmation. Currency trading at fundamental discount while technical trend supports upside.
- Short↘︎ (Setup = -1) – Overvalued + Bearish Trend
Context : Mean reversion opportunity with momentum confirmation. Currency trading at fundamental premium while technical trend supports downside.
- Watch (Setup = 2) – Valuation bias present, but no clear trend
Context : Fundamental mispricing without directional conviction. Monitor for trend emergence before entering.
- Conflict (Setup = 3) – Bias and trend pointing opposite directions
Context : Overvalued currency in uptrend OR undervalued currency in downtrend. Avoid—either trend continuation or valuation mean reversion, but unclear which dominates.
• Confidence Score (0-100%)
Each setup receives a quantitative confidence weighting based on three factors:
1. Band Distance (40%) – How far the Relative Index deviates from 100 baseline
2. Z-Score Magnitude (40%) – Statistical extremeness within lookback window
3. Trend Confluence (20%) – Agreement between Ichimoku and Aroon signals
Score interpretation:
- 70-100% = High confidence (both valuation and trend extremes aligned)
- 40-69% = Moderate confidence (one factor strong, others weak)
- 0-39% = Low confidence (marginal signals, questionable reliability)
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VISUAL COMPONENTS
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• Dashboard Table (Top-Right)
Displays real-time valuation metrics for all seven major pairs:
Column 1: Pair – Currency pair identifier
Column 2: RelIdx – Relative Index (100 = baseline at first valid bar)
Column 3: Z – Z-Score vs. rolling lookback window
Column 4: Bias – Long/Short/Neutral valuation classification
Column 5: Trend – ↑/↓/– trend direction (Ichimoku + Aroon)
Column 6: Setup – Long↗︎/Short↘︎/Watch/Conflict (color-coded)
Column 7: Conf – Confidence score 0-100% (color-coded)
Column 8: Quelle – REER (inflation-adjusted) or NEER (nominal only)
Color coding :
- Green = Long↗︎ setup
- Red = Short↘︎ setup
- Orange = Watch (no trend)
- Purple = Conflict (bias/trend divergence)
• Optional Chart Plot
Select any of the seven pairs to plot its Relative Index on the chart with:
- Baseline at 100 (horizontal gray line)
- +Band at 100 × (1 + deviation%), dashed red
- -Band at 100 × (1 - deviation%), dashed green
- Aqua line tracking the selected pair's Relative Index evolution
• Signal Labels
When a pair transitions into Long↗︎ or Short↘︎ setup:
- Green label below bar = Long↗︎ entry signal
- Red label above bar = Short↘︎ entry signal
- Positioned using ATR offset for visibility
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KEY FEATURES
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- Institutional valuation methodology – REER/NEER framework used by central banks and sovereign wealth funds
- Macro-fundamental integration – CPI inflation differentials adjust for purchasing power parity
- Multi-timeframe flexibility – Daily (D), Weekly (W), Monthly (M) resolution options
- Seven simultaneous pairs – Monitors all G7 FX majors in single unified dashboard
- No repainting – All signals confirm on bar close
- Automated alerts – TradingView notifications when setups transition (Long/Short triggers)
- Confidence weighting – Quantitative scoring allows position sizing calibration
- Fallback logic – Automatically switches to NEER if CPI data incomplete
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HOW TO USE
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1. Apply to any chart – The indicator pulls multi-security data; chart symbol does not matter (commonly applied to SPY or DXY for reference)
2. Select data feed – Default FX: (TradingView composite) is recommended; alternatives: OANDA, FXCM, FOREXCOM
3. Choose timeframe :
• Daily (D) = Swing trading, medium-term mean reversion (2-8 week horizons)
• Weekly (W) = Position trading, macro regime shifts (1-6 month horizons)
• Monthly (M) = Strategic allocation, long-term equilibrium analysis (6-24 month horizons)
4. Configure parameters :
• Z-Score Lookback : Default 252 (one trading year on Daily); adjust for timeframe (52 for Weekly, 36 for Monthly)
• Deviation Band : Default ±5%; tighten to ±3% for more signals, widen to ±7% for higher conviction
• Z-Threshold : Default ±1.5; increase to ±2.0 for extreme-only signals
5. Monitor dashboard table :
• Focus on pairs showing Long↗︎ or Short↘︎ setups with Conf ≥ 70%
• Watch for Watch setups transitioning to directional signals
• Avoid Conflict setups unless you have strong macro conviction
6. Execute mean-reversion trades :
• Long↗︎ = Buy undervalued currency (e.g., EURUSD Long if EUR undervalued)
• Short↘︎ = Sell overvalued currency (e.g., USDJPY Short if JPY overvalued)
• Target: Mean reversion toward 100 baseline or opposite band
7. Position sizing by confidence :
• High confidence (70-100%) → Standard position size
• Moderate confidence (40-69%) → Reduce size by 50%
• Low confidence (<40%) → Avoid or use minimal pilot size
8. Risk management :
• Stop loss: Place beyond recent swing high/low or 1.5× ATR
• Take profit: Opposite valuation band or 100 baseline
• Time stop: Exit if setup reverses (Long→Neutral→Short or vice versa)
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LIMITATIONS
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- CPI data lag – Consumer Price Index releases are monthly and report with 2-4 week delay. REER calculations may lag real-time inflation dynamics.
- Structural shifts ignored – The baseline (100) is set at first valid bar. Long-term structural appreciation/depreciation (e.g., 20-year USD bull market) is not accounted for. Suitable for cyclical mean reversion, not secular trend analysis.
- Equal-weighting assumption – All seven currencies are equally weighted in basket construction. Actual trade-weighted indices use GDP or trade volume weights, which this framework simplifies.
- No emerging market currencies – Limited to G7 majors (USD, EUR, JPY, GBP, CHF, AUD, CAD, NZD). Does not cover EM FX (e.g., CNY, BRL, MXN).
- Technical filter limitations – Ichimoku and Aroon are lagging indicators. In fast-moving markets (e.g., central bank interventions, geopolitical shocks), trend signals may arrive late.
- Mean reversion assumption – The framework assumes currencies revert to equilibrium. During regime changes (e.g., monetary policy divergence, crisis flows), deviations can persist or expand before eventual reversal.
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TECHNICAL SPECIFICATIONS
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- Pine Script v6
- Non-repainting (signals confirmed on bar close)
- Multi-security data feeds (7 FX pairs + 8 CPI series)
- Automated alert system (transitions to Long↗︎/Short↘︎)
- Real-time dashboard table (8 columns × 8 rows)
- Maximum 500 labels supported (100 per pair direction)
- Fallback logic: NEER used if CPI data unavailable
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NOTES
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This indicator is designed for experienced FX traders, macro strategists, and portfolio managers familiar with:
- Real and nominal effective exchange rate concepts
- Purchasing power parity theory and inflation differentials
- Multi-currency portfolio construction and basket hedging
- Carry trade and convergence strategies
- Central bank policy impacts on FX equilibrium levels
The framework provides objective valuation signals but does not account for:
- Interest rate differentials (carry)
- Capital flow dynamics (risk-on/risk-off)
- Central bank intervention zones
- Geopolitical risk premiums
Always combine REER/NEER valuation analysis with macro event calendars, positioning data (CFTC COT reports), and fundamental policy divergence assessments.
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Developed for institutional FX valuation analysis based on central bank REER/NEER methodologies.
RSI Multi Levels kiawosch [TradingFinder] 7-14-42 Consolidation🔵 Introduction
The Relative Strength Index or RSI is a tool used to measure the speed and intensity of price movement, oscillating between zero and one hundred. It is commonly applied to identify strength or weakness in market momentum across different time intervals. Despite its simple formula and wide usage, the behavior of RSI within specific ranges often provides more precise information than traditional overbought and oversold levels.
The Multi RSI layout displays three RSI values with periods 7, 14 and 42. The seven period RSI plays the primary role in short term analysis. When this value enters predefined ranges, it shows highly consistent and interpretable behavior that can signal trend continuation, corrections or the start of a range structure. The other two values, RSI 14 and RSI 42, help reveal higher timeframe momentum and provide context for the depth and quality of price movement.
Three potential zones are defined, each representing a behavioral range. The position zones forms the basis for signal interpretation :
High Potential : 78 to 85 & 22 to 15
Mid Potential : 70 to 78 & 30 to 22
Low Potential : 58 to 62 & 42 to 38
These zones highlight areas where RSI reacts in specific ways to price movement. Entering the High Potential range usually aligns with new highs or lows in price and often precedes continuation after a correction. In contrast, reactions inside the Mid Potential range frequently appear during clean ranges or channel structures. This approach focuses on momentum quality and structural behavior rather than classic overbought and oversold thresholds.
In summary, the logic behind the signals follows three principles :
Trend continuation, When RSI 7 enters the High Potential zone and price prints a new high or low, continuation after a correction becomes the most likely outcome.
Reversal or slowdown, When RSI exits the High Potential zone while price is reaching a previous high or low, the probability of a short term reversal increases.
Range behavior, In clean ranges or channel structures, RSI 7 typically reacts inside the Mid Potential zone and produces consistent swing responses.
🔵 How to Use
This method is based on observing the repeating behavior of RSI within momentum zones and identifying moments when price continues after a shallow correction or, conversely, when signs of slowing and reversal appear. RSI 7 plays the main role since it gives the most sensitive response to short term price changes. Its entry into or exit from a potential zone, combined with the position of price relative to recent highs and lows, forms the core of the signal logic. RSI 14 and RSI 42 provide higher timeframe confirmation and help evaluate the broader strength or weakness behind each movement.
🟣 Trend continuation after entering the High Potential zone
When RSI 7 reaches the High Potential zone while price forms a new high or low, the probability of continuation becomes very high. The typical sequence includes a short correction in price and a retreat of RSI toward the Mid Potential zone. As long as price structure remains intact and RSI turns upward again, continuation becomes the most likely scenario. As shown in the charts, price often expands strongly after this type of correction and breaks the previous high.
🟣 Reversal or slowdown after exiting the High Potential zone
If RSI 7 enters the High Potential zone but then exits while price is interacting with a previous high or low, conditions for a short term reversal appear. This behavior is clear in the charts, where price hits a supply or demand area and RSI can no longer return to the upper zone. The drop in RSI reflects weakening momentum and, when accompanied by a confirming candle, increases the chance of a reversal or at least a temporary pause.
🟣 Strong reversal after hitting the Mid Potential zone during deeper corrections
Sometimes price enters a deeper corrective phase and RSI 7 moves into or through the Mid Potential zone. When this occurs near a previous low, it can mark the start of a significant reversal. The charts show this pattern clearly, where RSI turns upward while price reacts to support. If the other RSI values show relative alignment, the probability of a strong rebound increases. This signal is often seen after fast declines and can mark the beginning of a recovery wave.
🟣 Range structure and repetitive reactions inside the Mid Potential zone
When price enters a clean range or channel, the behavior of RSI 7 changes completely. In such conditions, RSI repeatedly reacts inside the Mid Potential zone. Each time price touches the upper or lower boundary of the range, RSI approaches the upper or lower part of this zone as well. The result is a sequence of predictable swing reactions, perfectly suitable for mean reversion strategies. Breakouts in these environments also tend to show higher failure rates.
🟣 Sharp reactions and fast reversals at extreme levels (RSI near 90 or below 10)
Although this approach is not based on classic overbought and oversold logic, extremely high or low RSI readings such as ninety often produce strong immediate reactions in price. These conditions usually occur after sudden spikes or emotional breakouts. As visible in the charts, RSI collapses quickly after reaching such extremes and price often reverses sharply. While not a core signal, these moments add meaningful context to momentum interpretation.
🔵 Settings
RSI Setting : This section allows enabling or disabling the three RSI values, adjusting their calculation length and customizing their colors. It is designed to help separate short, medium and longer term momentum visually on the chart.
Zones Setting : This section controls the display of momentum zones and the color applied to each area. Adjusting these colors or toggling them on and off helps the trader visually track the intensity and structure of momentum.
Levels Setting : This section allows editing the numeric boundaries of the levels or showing and hiding each one individually. These levels form the visual framework for interpreting RSI behavior within the defined momentum zones.
🔵 Conclusion
Examining RSI behavior across different momentum zones shows that entering these ranges creates relatively consistent patterns in price movement. Reaching the High Potential zone often corresponds to later stages of a trend, where price has the strength to continue after a brief correction and structure remains intact. In contrast, reactions within the Mid Potential zone occur more frequently when the market transitions into a range or a limited movement phase, where repetitive oscillations dominate.
Overall, observing RSI inside these zones helps distinguish between trending movement, corrective phases and range conditions with greater clarity. Entry or exit from each zone provides insight into the underlying strength or weakness of momentum and reveals where the market is positioned within its movement cycle. This perspective, based on momentum regions rather than traditional values alone, offers a more refined understanding of price behavior and highlights the likely direction of the next move.
智能趋势-多周期动态信号 Smart Trend Oscillator MTF V1🚀 智能趋势-多周期动态信号 Smart Trend Oscillator MTF V1
—— 让交易像红绿灯一样简单直观 | Making Trading as Simple as Traffic Lights
告别复杂的参数设置，把市场噪音变成明确的信号。 Say goodbye to complex parameters. Turn market noise into clear signals.
🌟 它是做什么的？ / What Does It Do?
“智能趋势管家” 就像您的私人交易副驾驶。它内置了一套先进的智能平滑算法，能够自动过滤掉市场中那些骗人的假动作，只把最核心的**“市场真实韵律”通过一条平滑的波浪线展示给您。它不只是一根线，它是一套会思考的系统**。
"Smart Trend Oscillator " is like your personal trading co-pilot. It features a built-in advanced smoothing algorithm that automatically filters out deceptive market "fake-outs," revealing the "true rhythm" of the market through a single, smooth wave. It’s not just a line; it’s a thinking system.
🔥 核心功能 / Core Features
1. 🌊 智能波浪引擎 / Smart Wave Engine
不要被K线的上蹿下跳迷惑。我们的引擎能识别市场内部的真实能量。 Don't be confused by erratic candlesticks. Our engine identifies the true internal energy of the market.
过滤噪音 (Filter Noise)：自动忽略短暂的随机波动。
捕捉趋势 (Capture Trends)：波浪上升代表买方主导，波浪下降代表卖方主导。
2. 🛡️ 自适应波动通道 / Adaptive Channels
市场有时候像乌龟（波动小），有时候像兔子（波动大）。指标拥有一个“弹性通道”，它会根据市场活跃度自动变宽或变窄，精准判断价格是否“过热”或“超卖”。 The market moves between low and high volatility. The indicator features an "elastic channel" that automatically widens or narrows, accurately judging if the price is "Overheated" or "Oversold."
3. 🌍 全局监控面板 / Global Dashboard
右上角的面板是您的战况指挥室。一眼看懂 6 个不同时间维度的状态。全绿代表多周期共振向上，全红代表多周期共振向下。 The panel in the top-right corner is your Command Center. Understand the status of 6 different time dimensions at a glance. All Green means upward resonance; All Red means downward resonance.
⚙️ 极致的个性化定制 / Ultimate Customization
v16 版本为您提供了前所未有的控制权，让指标完全适应您的交易风格。 Version 16 gives you unprecedented control to tailor the indicator to your trading style.
🕒 1. 时间周期，由你定义 (Customizable Timeframes)
不再局限于系统默认设置。您可以在设置面板中自由输入 6 个您最关心的周期（例如：5分钟、1小时、甚至 3天）。
短线手：设置为 1分/3分/5分/15分...
波段手：设置为 1小时/4小时/日线/周线...
Benefit: You can freely input the 6 timeframes that matter most to you in the settings panel, whether you are a scalper or a swing trader.
🎯 2. 灵敏度调节 (Adjustable Sensitivity)
想要更多交易机会？还是想要更稳健的信号？
高灵敏度：调高 Zone Sensitivity，捕捉每一次微小的回调（适合激进风格）。
低灵敏度：调低数值，过滤掉小波动，只抓大趋势（适合稳健风格）。
Benefit: Dial up the sensitivity to catch every minor pullback (Aggressive), or dial it down to filter noise and catch only big trends (Conservative).
📊 3. 两种平滑模式 (SMA vs. VWMA)
您可以选择通道的计算核心：
Standard (SMA)：经典模式，适合大多数市场。
Volume Weighted (VWMA)：成交量加权模式。在加密货币或股票市场，它能帮您过滤掉“无量空涨”或“无量空跌”的假信号。
Benefit: Choose Standard (SMA) for general markets, or Volume Weighted (VWMA) to filter out fake moves on low volume (great for Crypto/Stocks).
🚦 信号含义 / Signals Guide
我们把复杂的逻辑浓缩成了最简单的视觉标签： We have condensed complex logic into the simplest visual labels:
🟢 绿色 BUY 标签：市场“便宜”且能量向上。 (Market is "Cheap" & Energy is Up.)
🔴 红色 SELL 标签：市场“过热”且能量向下。 (Market is "Overheated" & Energy is Down.)
🔵 蓝色 HOLD 标签：趋势延续中，建议持仓。 (Trend is continuing, suggest holding position.)
📥 快速上手 / Quick Start
加载指标 (Load)：添加到您的图表。
设置周期 (Set Timeframes)：在输入选项里填入您习惯查看的 6 个时间周期。
选择模式 (Choose Mode)：如果是成交量重要的资产，建议开启 VWMA 模式。
等信号 (Wait)：等待带方框的 BUY 或 SELL 标签出现。
把复杂留给算法，把简单留给您。 Leave the complexity to the algorithms, and keep the simplicity for yourself.
主流币种中长线趋势系统This script is a comprehensive trading system designed for medium-to-long-term analysis of mainstream assets. It combines custom volatility algorithms, trend momentum filters, and market structure analysis to identify high-probability reversal points (Tops/Bottoms) and trend-following entry opportunities.
It eliminates market noise and provides clear visual signals, making it suitable for traders looking to capture major market swings without staring at the screen 24/7.
这是一个专为主流资产中长线交易设计的综合分析系统。它融合了自定义的波动率算法、趋势动量过滤器以及市场结构分析，旨在识别高胜率的趋势反转点（顶/底）以及右侧顺势入场机会。
本系统有效过滤了市场噪音，提供清晰的视觉信号，非常适合希望捕捉市场主升浪/主跌浪的交易者。
How to Use / 信号使用说明
The system provides three layers of information: Reversal Warnings, Trend Confirmations, and Key Levels.
本系统提供三个维度的信息：反转预警、趋势确认、关键位结构。
1. Reversal Signals (Top & Bottom) / 顶底反转信号
These signals appear when the market is overheated or oversold based on our proprietary composite algorithm.
这些信号出现在市场极度贪婪或恐慌的时刻，基于独家的复合算法计算得出。
"底" (Bottom) Label (Green): Indicates a potential market bottom or accumulation zone. It suggests that downside momentum is exhausted.
"底"（绿色标签）： 提示潜在的市场底部或吸筹区，意味着下跌动能衰竭，是左侧关注买入机会的参考。
"顶" (Top) Label (Red): Indicates a potential market top or distribution zone. It suggests that upside momentum is unsustainable.
"顶"（红色标签）： 提示潜在的市场顶部或派发区，意味着上涨动能不可持续，是左侧止盈或减仓的参考。
2. Trend Entry Signals (Circles) / 趋势入场信号 (圆点)
These signals are generated only when the trend direction is confirmed and multiple filters align.
只有在趋势方向明确，且多个动量过滤器发生共振时，才会触发此类信号。
Green Circle: Confirmed Long entry. Best used when price action breaks out of consolidation or resumes an uptrend.
绿色圆点： 确认的多头入场信号。通常在价格突破盘整或上升趋势延续时出现，适合右侧顺势交易。
Red Circle: Confirmed Short entry. Indicates the start or continuation of a bearish trend.
红色圆点： 确认的空头入场信号。预示着下跌趋势的开始或延续。
3. Market Structure (Boxes & Lines) / 市场结构 (方框与线条)
Boxes: These represent institutional Order Blocks (Support/Resistance zones).
方框： 代表机构的关键订单块区域（强支撑/压力区）。
Lines: These visualize Break of Structure (BOS) or Change of Character (CHoCH), helping you understand the current market phase.
线条： 可视化显示市场结构的破坏与反转，帮助你判断当前是处于上涨结构还是下跌结构中。
Settings & Optimization / 设置与优化
Signal Mode (辅助提示模式):
Conservative (保守模式): Fewer signals, higher precision. Best for risk-averse traders.
Balanced (平衡模式): Default setting, balanced between frequency and accuracy.
Aggressive/Demon (激进/恶魔模式): More signals, captures smaller swings but with more noise.
Trade Mode (交易模式): You can choose to display signals for "Both Sides", "Long Only", or "Short Only" to fit your strategy.
Alerts / 警报系统
The script supports real-time alerts. When a signal is triggered, the alert message will also intelligently calculate and include the nearest Pressure (Resistance) and Support price levels based on current market structure.
脚本支持实时警报。当信号触发时，警报消息还会智能计算并附带当前最近的压力位和支撑位价格，方便挂单。
此版本有效期至2026年1月
Disclaimer / 免责声明
This script is for educational and analytical purposes only. Past performance does not guarantee future results. Please manage your risk strictly.
本脚本仅供教育和分析使用。过往表现不代表未来结果。请严格管理您的风险。
