Stochastic Extreme Oscillator [MatrixQuantLabs]Stochastic Extreme Oscillator is an enhanced stochastic-based oscillator designed to highlight market extremes, momentum shifts, and potential reversal zones with improved visual clarity and signal filtering.
This indicator builds upon the classic Stochastic Oscillator by focusing on extreme zone behavior, peak & trough signals, and optional divergence detection, making it suitable for both discretionary and systematic traders.
Key Features
Extreme Zone Visualization
• Multi-level overbought (80–100) and oversold (0–20) zones with adaptive color intensity help assess the strength and risk level of market extremes at a glance.
Momentum-Aware Coloring
• The %D line dynamically changes color based on its position relative to the zero line, providing an intuitive view of bullish, neutral, and bearish momentum states.
Peak & Trough Signals
• Optional bullish and bearish signals are triggered only when %K / %D cross occurs inside extreme zones, helping filter out low-quality signals in mid-range conditions.
Regular Divergence Detection
• Built-in bullish and bearish divergence detection based on pivot structure, allowing early identification of potential trend reversals.
Clean & Focused Design
• The indicator emphasizes the %D line as the primary signal source, while %K is used internally for logic, keeping the chart uncluttered and easy to read.
Customization
• Adjustable %K / %D lengths and smoothing
• Toggle peak & trough signals on/off
• Optional divergence detection with configurable pivot sensitivity
• Designed to work across different markets and timeframes
Usage Notes
• Best used as a momentum and extreme-condition oscillator, not as a standalone trading system
• Signals are most effective when combined with trend context, price structure, or higher-timeframe analysis
• Divergence signals may appear with delay due to pivot confirmation logic
Disclaimer
This indicator is intended for educational and analytical purposes only and does not constitute financial advice. Always apply proper risk management and confirm signals with additional analysis.
震盪指標
Red light / Green lightInspired on the video www.youtube.com
In the video he claims that using simple indicators work better than complex indicators.
This script was created using 1 indicator from each indicator family.
The following indicators are used:
- RVI as a volatility indicator
- Chaiking Oscillator as a volume indicator
- RSI as a momentum indicator
- MACD as a trend indicator
Don't forget to adapt the order size and the commission. I've taken commission as 0.1 based on the Bybit non-VIP spot trading.
Happy trading!
RSI Trendline Breakout BB Exit -by RiazMalikUse this strategy based on RSI and bolinger bands
When RSI trend line breaks take position when RSI touches bolinger bands exit
VIXO - VIX Oscillator// This Pine Script® code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © emreiletrade
//@version=6
indicator(title="VIXO - VIX Oscillator", shorttitle="VIXO", overlay=false)
// === Inputs ===
rsiLen = input.int(defval=14, title="RSI Length", minval=11, maxval=55)
momLen = input.int(defval=11, title="Momentum Length", minval=9, maxval=21)
normLookback = input.int(defval=100, title="Momentum Normalization Lookback", minval=20, maxval=200)
// === Data (OHLC needed) ===
=
request.security("TVC:VIX", timeframe.period, )
// === RSI Oscillator ===
vixRsi = ta.sma(ta.rsi(vixClose, rsiLen), 5)
// === Momentum (ROC) ===
vixMom = ta.roc(vixClose, momLen)
// === Momentum Normalization (0–100, 50 neutral) ===
momMin = ta.lowest(vixMom, normLookback)
momMax = ta.highest(vixMom, normLookback)
vixMomNorm = ta.sma(100 * (vixMom - momMin) / math.max(momMax - momMin, 1e-6), 3)
// === Helpers ===
vixMa = ta.sma(vixClose, 21)
ratio = vixMa != 0.0 ? (vixClose / vixMa) : 0.0
clampedRatio = math.min(math.max(ratio, 0.0), 1.6)
dynamicTransparency = 100.0 - (clampedRatio * 40.0)
dynamicTransparency := math.min(math.max(dynamicTransparency, 0.0), 100.0)
dynamicTransparency := vixHigh < 30 ? 100 : dynamicTransparency
// === Colors ===
color baseColor = close > close ? color.new(#00FF00, 0)
: close < close ? color.new(#FF0080, 0) : color.gray
color vixBarColor = color.new(baseColor, dynamicTransparency)
color pointColor = color.new(baseColor, dynamicTransparency)
// === Levels ===
hline(80, "Panic of Market", color=color.rgb(0, 255, 0, 40))
hline(60, "VIX says BUY", color=color.rgb(0, 255, 0, 70))
hline(50, "Neutral / Momentum Mid", color=color.new(color.gray, 50))
hline(40, "Get Ready", color=color.new(color.gray, 60))
// === Plots ===
plot(vixRsi, title="VIX RSI", color=color.rgb(0, 255, 255), linewidth=2)
plot(vixMomNorm, title="VIX Normalized Momentum", color=color.new(color.gray, 50), linewidth=1)
plot(vixHigh > 50 ? vixHigh : na, title = "High Points", style = plot.style_cross, color = color.new(pointColor,0))
plot(vixHigh, title="VIX Value Bars", style=plot.style_histogram, color=vixBarColor, linewidth=1)
VolMo Algorithm [Pro]VolMo Algorithm - Volume Momentum Oscillator
📊 Overview
VolMo Algorithm is a professional-grade composite momentum oscillator that synthesizes three critical market dimensions into a single, unified signal designed for institutional-level analysis.
This indicator was engineered to cut through market noise by fusing:
Volatility Band Analysis - Mean reversion detection through dynamic price envelopes
Dual EMA Momentum - Trend identification via fast/slow crossover mechanics
Swing Structure Recognition - Context awareness through pivot-based structure
⚙️ How It Works
The Composite Signal Formula
text
VolMo = (Momentum Score × MD Weight) + (Band Position Score × DTB Weight)
Component Description
Momentum Score Normalized momentum (Fast EMA - Slow EMA) expressed in standard deviations
Band Position Score Price location within volatility bands indicating stretch/compression
Signal Interpretation
Value Range Market State
> 0 Bullish momentum bias
< 0 Bearish momentum bias
> +2.0 Overbought (mean reversion likely)
< -2.0 Oversold (mean reversion likely)
🎯 Key Features
✅ Adaptive Histogram - Color-coded by momentum direction AND acceleration
Bright colors = Momentum accelerating
Dim colors = Momentum decelerating
✅ Signal Line Crossovers - Early warning for trend changes
✅ Overbought/Oversold Zones - Statistical extremes for mean reversion plays
✅ Triple Confirmation System - Signals when momentum, price, AND bands align
✅ Real-Time Dashboard - At-a-glance status including:
Current trend state with directional icons
Signal strength meter (0-100%)
Band position percentage
Momentum acceleration status
Active confirmation status
✅ 5 Color Themes - Neon Pro, Classic, Ocean, Sunset, Monochrome + Custom
✅ Comprehensive Alerts - Trend changes, crossovers, OB/OS entries, confirmations
Zero Lag Moving Average Convergence Divergence (ZLMACD) [EVAI]Zero Lag Moving Average Convergence Divergence (ZLMACD)
ZLMACD is a MACD-style momentum oscillator that keeps the standard MACD structure while adding a practical “zero-lag” option through ZLEMA. It is intended for traders who like the familiar MACD workflow but want an oscillator that can respond earlier during transitions without turning into an overly noisy trigger.
The indicator plots the MACD line, the signal line, and the histogram around a zero baseline. If you already understand MACD, you already understand how to read this. The difference is that you can choose whether the oscillator and signal are driven by EMA, SMA, or ZLEMA, which changes the responsiveness and smoothness of the indicator.
Default behavior
This script defaults to the preset mode “ZLEMA osc + EMA signal.” In this configuration, the fast and slow oscillator averages are computed using ZLEMA, while the signal line remains an EMA of the MACD line. The reason for this mix is simple: ZLEMA tends to reduce lag in the oscillator, while EMA on the signal line helps keep crossovers readable and avoids excessive micro-signals.
In practice, this default preset often behaves like a “faster MACD” that still feels like MACD. It can highlight momentum turns earlier than a traditional EMA MACD while keeping the signal line stable enough to use for timing and confirmation.
Custom mode and MA selection
If you switch Mode to “Custom,” the indicator will use your selected moving average types for both the oscillator and the signal line. In Custom mode, the oscillator type applies to both fast and slow averages, and the signal type applies to the smoothing of the MACD line.
If you are in the default preset mode, the custom MA dropdowns will not change the calculations. This is intentional: the preset locks the MA types so the default behavior remains consistent and reproducible across charts and users.
Reading the indicator
The histogram reflects the distance between the MACD line and the signal line. When the histogram is above zero, the MACD line is above the signal line and momentum is biased upward; when it is below zero, the MACD line is below the signal line and momentum is biased downward. Changes in histogram height help visualize strengthening versus weakening momentum, while the zero baseline provides regime context by indicating whether the fast average is above or below the slow average.
Crossovers between MACD and signal behave exactly as they do in standard MACD, but the timing and “feel” will vary depending on the MA choices. ZLEMA on the oscillator typically makes turns appear earlier; SMA typically smooths more but can be slower; EMA tends to be the balanced baseline.
Alerts
Two alert conditions are included to detect histogram polarity shifts. One triggers when the histogram switches from non-negative to negative, and the other triggers when it switches from non-positive to positive. These are useful if you want simple notifications for momentum regime flips without staring at the chart continuously.
Notes
This indicator is provided for informational and educational purposes only and is not financial advice. Always test settings per instrument and timeframe and use risk management.
HaP RSIComprehensive Guide to HaP RSI Indicator
Introduction
The HaP RSI indicator is a custom technical analysis tool designed to replicate the logic and structure of the HaP MACD indicator but applied to the Relative Strength Index (RSI). This indicator combines traditional RSI concepts with advanced smoothing techniques, dynamic signal generation, and visual cues to help traders identify potential entry and exit points, trend strength, and momentum shifts.
This document provides an exhaustive explanation of the indicator's logic, its components, and practical strategies for trading with it.
Logic and Structure of HaP RSI
The HaP RSI indicator is built on the foundation of the RSI oscillator, which measures the speed and change of price movements to identify overbought and oversold conditions. The indicator enhances RSI by incorporating the following elements:
RSI Calculation: Uses a customizable length (default 10) and allows selection of smoothing type (EMA or SMA) for flexibility.
Signal Line: A moving average of the RSI (default length 9) that acts as a reference for crossovers and trend confirmation.
DEMA Logic: Double Exponential Moving Average applied to RSI and its signal line to generate dynamic dot signals for entries and exits.
Visual Elements: Midline at 50, Overbought/Oversold levels at 70 and 30, color-coded dots (Blue, Green, Orange, Red) for intuitive interpretation.
Conditions and Signal Generation
The indicator uses a sophisticated set of conditions to determine market states and generate actionable signals:
Buy Condition: Triggered when the DEMA of RSI is above the DEMA of its signal line AND the DEMA signal line is rising. This indicates strengthening bullish momentum.
First Signal Dot: Appears as a Blue dot when the buy condition becomes true for the first time after being false. This marks the start of a potential bullish phase.
Ongoing Signal Dot: Appears as Green if RSI is rising or Orange if RSI is falling while the buy condition remains true. This provides real-time feedback on momentum strength.
Exit Dot: Appears as Red when the buy condition turns false after being true, signaling a potential end to the bullish phase.
Crossovers: RSI crossing above its signal line (bullish) or below (bearish) are calculated but hidden by default, offering additional confirmation if enabled.
Trading Strategies Using HaP RSI
The HaP RSI indicator can be used in multiple ways to enhance trading decisions. Below are detailed strategies and best practices:
1. Entry Strategies
Enter long positions when a Blue dot appears, confirming the start of bullish momentum. Ideally, combine this with RSI above the midline (50) and price action breaking resistance.
Add to positions or scale in when Green dots appear, indicating continued bullish strength.
2. Exit Strategies
Exit or tighten stops when a Red dot appears, signaling weakening momentum.
Consider partial exits on Orange dots if momentum slows but the trend remains intact.
3. Trend Confirmation
Use the midline (50) as a regime filter: RSI above 50 generally favors long trades, while below 50 favors shorts.
Overbought/Oversold levels (70/30) can help identify exhaustion points for reversals or caution zones.
4. Risk Management
Always combine HaP RSI signals with stop-loss placement based on recent swing lows/highs.
Avoid chasing signals in low-volatility environments; confirm with volume or higher timeframe trend.
Advanced Usage and Best Practices
Combine HaP RSI with other indicators like moving averages or price action patterns for confluence.
Use alerts for Blue and Red dots to automate monitoring and reduce missed opportunities.
Backtest the indicator on multiple timeframes (H1 recommended) to optimize settings for your trading style.
Summary
HaP RSI is a powerful tool that blends RSI's simplicity with advanced signal logic, making it suitable for trend-following, momentum trading, and swing strategies. Its visual clarity and dynamic alerts allow traders to act decisively while managing risk effectively.
Momentum Wave Projector [Scalping-Algo]
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█ OVERVIEW
The Momentum Wave Projector (MWP) is an advanced momentum analysis tool that goes beyond traditional oscillators by projecting potential future momentum paths. While standard indicators only show you where momentum IS, MWP shows you where momentum is LIKELY TO GO.
This indicator combines:
• Adaptive momentum calculation with dynamic trend coloring
• Signal line crossover system for entry/exit timing
• Predictive wave projection using damped harmonic oscillation
• Confidence bands that expand with uncertainty over time
█ HOW IT WORKS
The indicator consists of three main components:
1. MOMENTUM LINE (Cyan/Red)
The core momentum oscillator that measures the speed and magnitude of price changes. The color automatically shifts based on trend direction:
• Cyan = Bullish momentum (above signal line)
• Red = Bearish momentum (below signal line)
2. SIGNAL LINE (Thick Red)
A smoothed average of momentum that acts as a trigger line. Crossovers between momentum and signal generate trading signals.
3. WAVE PROJECTION (Dashed Lines)
The unique feature of this indicator. It projects the probable future path of momentum using:
• Current velocity (how fast momentum is moving)
• Acceleration (is momentum speeding up or slowing down)
• Mean reversion (tendency to return to equilibrium)
• Cycle analysis (historical rhythm of momentum swings)
The projection uses a damped sine wave formula that naturally models how momentum oscillates and eventually returns toward the middle.
█ HOW TO USE
─────────────────────────────
ENTRY SIGNALS - LONG
─────────────────────────────
✓ Momentum crosses ABOVE signal line
✓ Cross occurs in oversold zone (below 30) = STRONG signal
✓ Wave projection is curving upward
✓ Triangle marker appears at bottom of indicator
Example setup:
1. Wait for momentum to drop into oversold zone (<30)
2. Watch for wave projection to start curving up
3. Enter when momentum crosses above signal line
4. Place stop loss below recent swing low
─────────────────────────────
ENTRY SIGNALS - SHORT
─────────────────────────────
✓ Momentum crosses BELOW signal line
✓ Cross occurs in overbought zone (above 70) = STRONG signal
✓ Wave projection is curving downward
✓ Triangle marker appears at top of indicator
Example setup:
1. Wait for momentum to rise into overbought zone (>70)
2. Watch for wave projection to start curving down
3. Enter when momentum crosses below signal line
4. Place stop loss above recent swing high
─────────────────────────────
EXIT SIGNALS
─────────────────────────────
For LONG positions:
• Take profit when momentum reaches projected wave peak
• Exit when momentum enters overbought zone (>70)
• Exit if momentum crosses back below signal line
For SHORT positions:
• Take profit when momentum reaches projected wave trough
• Exit when momentum enters oversold zone (<30)
• Exit if momentum crosses back above signal line
─────────────────────────────
TREND IDENTIFICATION
─────────────────────────────
STRONG UPTREND:
• Momentum stays above signal line consistently
• Momentum holds above 50 level
• Wave projection shows shallow dips that stay above 50
STRONG DOWNTREND:
• Momentum stays below signal line consistently
• Momentum holds below 50 level
• Wave projection shows shallow bounces that stay below 50
RANGING/CHOPPY:
• Momentum oscillates around signal line frequently
• Multiple crossovers in short period
• Wave projection shows full oscillation cycles
REVERSAL WARNING:
• Extreme reading (>80 or <20)
• Wave projection curving opposite to current direction
• Divergence between price and momentum
█ SETTINGS GUIDE
MOMENTUM SETTINGS
• Momentum Length (default: 14)
Lower = more sensitive, more signals, more noise
Higher = smoother, fewer signals, less noise
Recommended: 10-14 for scalping, 14-21 for swing trading
• Source (default: close)
Use 'close' for most cases
Use 'hlc3' for smoother readings
SIGNAL LINE SETTINGS
• Signal Length (default: 20)
Controls how smooth the signal line is
Higher values = slower, more reliable signals
Recommended: 14-21
• Signal Type (default: SMA)
SMA = balanced response
EMA = faster response to recent changes
WMA = weighted toward recent data
RMA = very smooth, slow response
WAVE PROJECTION SETTINGS
• Projection Length (default: 20)
How many bars into the future to project
Longer projections have more uncertainty
• Cycle Estimate (default: 28)
Estimated length of one full momentum cycle
Adjust based on your observed patterns
Tip: Count bars between momentum peaks
• Wave Strength (default: 1.0)
Controls amplitude of projected waves
Increase if your asset has large momentum swings
Decrease for more stable assets
• Show Confidence Bands (default: on)
Displays upper/lower probability envelope
Bands widen over time showing increasing uncertainty
LEVELS
• Overbought (default: 70)
• Oversold (default: 30)
Adjust based on asset volatility
More volatile assets: use 80/20
Less volatile assets: use 70/30
█ BEST PRACTICES
1. TIMEFRAME SELECTION
• Scalping: 1m, 5m, 15m
• Day trading: 15m, 1H
• Swing trading: 4H, Daily
2. COMBINE WITH PRICE ACTION
• Use support/resistance levels for confirmation
• Look for candlestick patterns at signal points
• Check higher timeframe trend direction
3. RISK MANAGEMENT
• Wave projection is probabilistic, NOT guaranteed
• Always use stop losses
• Don't risk more than 1-2% per trade
• Higher confidence when projection aligns with trend
4. AVOID FALSE SIGNALS
• Skip signals during major news events
• Be cautious of signals against the higher timeframe trend
• Wait for candle close before entering
• Look for confluence with other indicators
5. OPTIMAL CONDITIONS
• Best in trending markets with clear cycles
• Works well on liquid assets (major forex, crypto, indices)
• Less reliable during low volume/choppy conditions
█ ALERTS
The indicator includes 6 built-in alerts:
1. Bullish Crossover - Momentum crosses above signal
2. Bearish Crossover - Momentum crosses below signal
3. Strong Buy Signal - Bullish cross from oversold zone
4. Strong Sell Signal - Bearish cross from overbought zone
5. Entering Overbought - Momentum rising above 70
6. Entering Oversold - Momentum falling below 30
To set alerts:
1. Right-click on the indicator
2. Select "Add Alert"
3. Choose your preferred condition
4. Set notification preferences
█ DISCLAIMER
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Trading involves substantial risk of loss. Always do your own research and consider your financial situation before trading. Use proper risk management and never trade with money you cannot afford to lose.
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END OF DESCRIPTION
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SHORT DESCRIPTION (For the brief description field)
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Advanced momentum oscillator with predictive wave projection. Features adaptive coloring, signal line crossovers, and future momentum path forecasting using damped harmonic oscillation. Includes confidence bands and built-in alerts for scalping and swing trading.
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Weekly RSI + EMA Bias (FREE)Weekly RSI + EMA Bias — FREE
This indicator provides a clean, non-repainting weekly directional bias using:
• EMA trend filter
• RSI strength confirmation
• One controlled flip per week
• IST-based weekly entry & exit logic
• Holiday-safe exit handling (no missed exits)
WHAT THIS IS:
• A bias / confirmation tool
• Designed for positional & weekly traders
• Works on all intraday and higher timeframes
WHAT THIS IS NOT:
• Not a strategy
• No backtesting or performance metrics
• No buy/sell guarantees
METRICS TABLE:
The weekly metrics table is intentionally locked (🔒).
A fully unlocked metrics + strategy version is available separately.
Best used as a decision-support tool alongside your own execution rules.
Gold Projection DivergenceGOLD PROJECTION DIVERGENCE
Oscillator Companion for the Gold Macro Projection Model
OVERVIEW
The Gold Projection Divergence oscillator quantifies how far gold is trading from its projected fair value. While the main indicator shows where gold should be, this oscillator shows how extreme the mispricing is—providing precise timing signals for entries and exits.
HOW IT WORKS
The oscillator calculates the difference between actual gold price and the projected value, then normalizes it as a Z-score . This statistical measure shows how many standard deviations gold is trading away from its projected fair value.
Z > +2 — Gold is 2+ standard deviations above fair value (extremely overvalued)
Z > +1 — Gold is moderately overvalued
Z = 0 — Gold is trading at projected fair value
Z < -1 — Gold is moderately undervalued
Z < -2 — Gold is 2+ standard deviations below fair value (extremely undervalued)
VISUAL ELEMENTS
Histogram — Color-coded divergence magnitude
Yellow Line — Smoothed Z-score
Dashed Lines — +2 and -2 standard deviation levels
Dotted Lines — +1 and -1 standard deviation levels
Triangle Markers — Extreme crossover signals
Circle Markers — Zero-line crossings
HISTOGRAM COLORS
Dark Red — Z > +2 (extreme overvaluation)
Orange — Z between +1 and +2
Light Orange — Z between 0 and +1
Light Green — Z between -1 and 0
Green — Z between -2 and -1
Lime — Z < -2 (extreme undervaluation)
COMPONENT TABLE
The breakdown table shows divergence from each individual factor:
Silver — Is gold over/undervalued relative to silver?
M2 — Is gold over/undervalued relative to money supply?
DXY — Is gold over/undervalued relative to dollar strength?
Equity — Is gold over/undervalued relative to stocks?
TIPS — Is gold over/undervalued relative to real rates?
TRADING APPLICATIONS
Mean Reversion Strategy
Enter LONG when Z < -2 and begins rising
Enter SHORT when Z > +2 and begins falling
Use zero-line crossings for trend confirmation
Trend Following Filter
Only take long trades when Z < 0 (undervalued)
Only take short trades when Z > 0 (overvalued)
Divergence Confirmation
Bearish: Price makes new highs while Z-score makes lower highs
Bullish: Price makes new lows while Z-score makes higher lows
ALERTS
Extreme Undervaluation — Z crosses below -2
Extreme Overvaluation — Z crosses above +2
Moderate Undervaluation — Z crosses below -1
Moderate Overvaluation — Z crosses above +1
Divergence Turned Positive — Crossed above zero
Divergence Turned Negative — Crossed below zero
COMBINED USAGE
For best results, use both indicators together :
Main Indicator — Visual context of actual vs. projected on price chart
Divergence Oscillator — Precise measurement for timing decisions
The main indicator shows where gold should be; the oscillator shows how extreme the mispricing is and when to act.
Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Market conditions can alter historical relationships. Always use proper risk management.
Gold Macro Projection ModelGOLD MACRO PROJECTION MODEL
Multi-Factor Fair Value Estimation for Gold
OVERVIEW
The Gold Macro Projection Model estimates gold's fair value based on its historical relationships with key macroeconomic drivers. By synthesizing data from silver , M2 money supply , the US Dollar Index , TIPS (real rates proxy) , and major equity indices , this indicator projects where gold should theoretically be trading—helping traders identify potential overvaluation and undervaluation conditions.
HOW IT WORKS
This indicator employs three complementary projection methodologies :
Correlation-Weighted Z-Score Composite (50% weight)
Calculates rolling correlations between gold and each input factor. Factors with stronger correlations receive more influence. Each factor is normalized to a z-score, combined into a composite, then converted back to gold's price scale.
Silver/Gold Ratio Mean Reversion (35% weight)
The silver/gold ratio historically exhibits mean-reverting behavior. This component projects gold's implied price based on current silver prices and the historical average ratio.
M2 Money Supply Relationship (15% weight)
Gold tracks monetary expansion over long time horizons. This anchors the projection to the fundamental relationship between gold and the monetary base.
INPUT FACTORS
Silver — Strong positive correlation; precious metals move together
M2 Money Supply — Positive correlation; gold as inflation hedge
US Dollar Index (DXY) — Typically negative correlation; inverse relationship
TIPS ETF — Real interest rate proxy; gold responds to real yields
Equity Indices — Variable correlation; risk-on/risk-off dynamics
VISUAL ELEMENTS
Yellow Line — Actual gold price
Aqua Line — Projected fair value
Green Fill — Gold trading below projection (potentially undervalued)
Red Fill — Gold trading above projection (potentially overvalued)
Aqua Bands — Standard deviation envelope around projection
INFO TABLE
The indicator displays a real-time information panel showing:
Current actual vs. projected price
Divergence percentage and Z-score
Rolling correlations for each factor
Dynamic weight allocation
Buy/Sell signal based on divergence extremes
SIGNAL INTERPRETATION
STRONG BUY — Z-score below -2 (extremely undervalued)
BUY — Z-score between -2 and -1 (moderately undervalued)
NEUTRAL — Z-score between -1 and +1 (fairly valued)
SELL — Z-score between +1 and +2 (moderately overvalued)
STRONG SELL — Z-score above +2 (extremely overvalued)
SETTINGS
Correlation Period — Lookback for correlation calculations (default: 60)
Regression Period — Lookback for mean/standard deviation (default: 120)
Smoothing Period — EMA smoothing for projection line (default: 10)
Auto Weights — Toggle between correlation-based or manual weights
Band Multiplier — Standard deviation multiplier for bands (default: 1.5)
ALERTS
Gold Extremely Undervalued — Z crosses below -2
Gold Extremely Overvalued — Z crosses above +2
Gold Crossed Above Projection
Gold Crossed Below Projection
BEST PRACTICES
Use on daily timeframe for most reliable signals
Combine with the companion Gold Divergence Oscillator for timing
Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Always use proper risk management.
Silver Projection DivergenceSILVER PROJECTION DIVERGENCE
Standardized Fair Value Divergence Oscillator
OVERVIEW
The Silver Projection Divergence oscillator is the companion indicator to the Silver Macro Projection Model. It quantifies the gap between silver's actual price and its projected fair value, displaying this divergence as a standardized z-score. This format makes it easier to identify extreme conditions and time entries/exits based on mean reversion.
HOW IT WORKS
The oscillator converts raw divergence (Actual Silver - Projected Silver) to a z-score by normalizing against its historical distribution:
Z-Score > 0 - Silver trading ABOVE projected value (overvalued)
Z-Score < 0 - Silver trading BELOW projected value (undervalued)
Z-Score > 2 - Extreme condition (2 standard deviations)
VISUAL ELEMENTS
Main Plot
Green line/histogram - Negative divergence (undervalued)
Red line/histogram - Positive divergence (overvalued)
Color intensity increases when divergence is expanding
Reference Lines
+2 sigma / -2 sigma (dashed) - Extreme zones
+1 sigma / -1 sigma (dotted) - Moderate deviation
Zero line - Fair value equilibrium
Signal Markers
Green Triangle (bottom) - Z-score crosses below -2 (STRONG BUY)
Red Triangle (top) - Z-score crosses above +2 (STRONG SELL)
Background
Light red background - Extreme overvaluation (Z > 2)
Light green background - Extreme undervaluation (Z < -2)
SIGNAL INTERPRETATION
Z > +2.0 - Extreme Overvaluation - STRONG SELL / Take profits
Z +1.0 to +2.0 - Moderate Overvaluation - Caution / Reduce exposure
Z -1.0 to +1.0 - Fair Value Range - Neutral / Hold
Z -2.0 to -1.0 - Moderate Undervaluation - Accumulate / Scale in
Z < -2.0 - Extreme Undervaluation - STRONG BUY signal
COMPONENT TABLE
The bottom-right table breaks down divergence by factor:
Gold Ratio - Deviation from gold-implied fair value
M2 Supply - Divergence from monetary-implied value
DXY Signal - Dollar strength bullish/bearish indication
Equities - Equity market positioning signal
OVERALL - Combined signal with Z-score
TRADING APPLICATIONS
Mean Reversion Strategy
Enter LONG when Z < -2 and begins rising
Enter SHORT when Z > +2 and begins falling
Use zero-line crossings for trend confirmation
Trend Following Filter
Only take long trades when Z < 0 (undervalued)
Only take short trades when Z > 0 (overvalued)
Divergence Confirmation
Bearish: Price makes new highs while Z-score makes lower highs
Bullish: Price makes new lows while Z-score makes higher lows
ALERTS
Extreme Undervaluation - Z crosses below -2
Extreme Overvaluation - Z crosses above +2
Divergence Turned Positive - Crossed above zero
Divergence Turned Negative - Crossed below zero
COMBINED USAGE
For best results, use both with Silver Macro Projection Model - indicator:
Main Indicator - Visual context of actual vs. projected on price chart
Divergence Oscillator - Precise measurement for timing decisions
The main indicator (Silver Macro Projection Model - ) shows where silver should be; this oscillator shows how extreme the mispricing is and when to act.
Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Market conditions can alter historical relationships. Always use proper risk management.
Silver Macro Projection ModelSILVER MACRO PROJECTION MODEL
Multi-Factor Fair Value Estimation for Silver
OVERVIEW
The Silver Macro Projection Model estimates silver's fair value based on its historical relationships with key macroeconomic drivers. By synthesizing data from gold, M2 money supply, the US Dollar Index, and major equity indices, this indicator projects where silver should theoretically be trading, helping traders identify potential overvaluation and undervaluation conditions.
HOW IT WORKS
This indicator employs three complementary projection methodologies:
Correlation-Weighted Z-Score Composite (50% weight) - Calculates rolling correlations between silver and each input factor. Factors with stronger correlations receive more influence. Each factor is normalized to a z-score, combined into a composite, then converted back to silver's price scale.
Gold/Silver Ratio Mean Reversion (35% weight) - The gold/silver ratio historically exhibits mean-reverting behavior. This component projects silver's implied price based on current gold prices and the historical average ratio.
M2 Money Supply Relationship (15% weight) - Silver tracks monetary expansion over long time horizons. This anchors the projection to the fundamental relationship between silver and the monetary base.
INPUT FACTORS
Gold - Strong Positive - Precious metals move together; silver amplifies gold
M2 Supply - Positive - Inflation hedge; expands with monetary base
DXY - Negative - Dollar strength pressures commodity prices
S&P 500 - Variable - Risk sentiment indicator
Dow Jones - Variable - Industrial/economic health proxy
Nasdaq 100 - Variable - Growth/risk appetite indicator
Russell 2000 - Variable - Small-cap risk sentiment
VISUAL ELEMENTS
Silver Line (Gray) - Actual silver price
Yellow Line - Model's projected fair value
Green Fill - Silver trading BELOW projection (potentially undervalued)
Red Fill - Silver trading ABOVE projection (potentially overvalued)
INFORMATION TABLE
The indicator displays a real-time panel showing:
Current correlation coefficients for each factor
Dynamic weight allocation based on correlation strength
Z-scores for each input factor
Actual vs. projected silver price
Percentage divergence from fair value
Signal classification (Strong Buy to Strong Sell)
SETTINGS
Lookback Settings
Correlation Period (default: 60) - Bars used for rolling correlations
Regression Period (default: 120) - Bars for z-score normalization
Smoothing Period (default: 10) - EMA smoothing on projection
Weight Settings
Use Auto Correlation Weights - Weights adjust dynamically based on correlation strength
Manual Weights - Override with custom factor weights
ALERTS
Silver Extremely Undervalued (Z < -2)
Silver Extremely Overvalued (Z > +2)
Price crossed above projection
Price crossed below projection
BEST PRACTICES
Use on daily timeframe for most reliable signals
Combine with the companion Divergence Oscillator for timing
Extreme divergences (>2 sigma) historically precede mean reversion
Consider macro environment as correlations shift during different regimes
Longer regression periods (150-250) for investing; shorter (60-90) for trading
Disclaimer: This indicator is for educational purposes only. Past correlations do not guarantee future relationships. Always use proper risk management.
Percentile-Based BB% Trend - MattesOverview
The Percentile-Based BB% Trend is a robust momentum oscillator that reimagines the classic Bollinger %B indicator using percentile-based bands and median absolute deviation (MAD). Instead of relying on a simple moving average and standard deviation (which can be heavily influenced by outliers), this version builds dynamic bands from the 25th and 75th percentiles of price, creating a noise-resistant framework for measuring where the current price sits relative to its recent distribution.
How It’s Calculated
Percentile Smoothing : 25th percentile (lower boundary) and 75th percentile (upper boundary) of the selected source.
Basis Line : Midpoint between the 25th and 75th percentiles as a robust central measure.
Robust Volatility : Median Absolute Deviation (MAD) multiplied by a user-defined factor to set band width.
PBB% Value : (Price - Lower Band) / (Band Width), then shifted so the midline is at 0.
Trend Line : Light EMA smoothing applied to the raw value and displayed as colored columns.
How It Differs From Traditional %B
Uses 25th/75th percentiles + MAD instead of SMA + standard deviation → far less sensitive to outliers.
More adaptive to real-world skewed price distributions.
Stronger noise filtering while staying responsive to genuine momentum.
Why It’s Useful
Reduced false signals in choppy or spiky markets
Clear view of momentum strength and price extension
Persistent readings above/below 0 indicate sustained bullish/bearish control
Excellent as a trend-strength filter across all asset classes and timeframes
Application Examples
Trend Confirmation – Midline (0) crossovers confirm direction when paired with trend-following tools.
Overextension Warnings – Extreme readings signal potential exhaustion.
Momentum Filtering – Avoid entries when oscillator shows weak or overstretched conditions.
Divergence Hunting – Spot price making new highs/lows while oscillator fails to confirm.
Great inventions require greate care!
Not a Standalone Strategy: This indicator is designed as a complementary tool and should always be combined with other forms of analysis (price action, volume, higher-timeframe trend, or additional indicators).Potential Lags in Explosive Moves: The robust calculations and smoothing can slightly delay signals during very strong trends.Parameter Sensitivity: Optimal length and multiplier vary by market and timeframe — backtesting is essential.No indicator guarantees profits; past performance is not indicative of future results.
This indicator builds directly on the foundation of the Percentile-Based Bollinger Bands - Mattes, extending its robust methodology into oscillator form for deeper momentum analysis.Shoutout to all my Masterclass Brothers and L4 Gs!
ChromaFlows Momentum Index - Consensus Engine V1.2ChromaFlows Momentum Index — Conceptual Description
Overview
ChromaFlows Momentum Index is a momentum-analysis tool designed to evaluate trend quality and directional agreement by combining multiple oscillators into a single consensus-based system.
Rather than displaying independent signals from separate indicators, this script produces output only when all internal engines align, filtering out conflicting or low-quality momentum conditions.
The goal is not to generate standalone trading signals, but to provide a clear visual representation of momentum consensus and regime strength.
Conceptual Architecture
The indicator is built around three momentum engines, each assigned a distinct functional role:
Slow Stochastic — acts as the primary momentum baseline, defining the broader overbought/oversold context.
Fast Stochastic — functions as a short-term acceleration filter, detecting rapid changes in momentum relative to the baseline.
RSI — serves as a regime validator, confirming whether momentum conditions are stable enough to be considered directional.
These components are not averaged or displayed independently.
Each engine is conditionally dependent on the others.
Interaction & Consensus Logic
ChromaFlows uses a strict consensus model:
A directional state is produced only when all momentum engines agree on direction.
If even one engine diverges, the system suppresses directional output and enters a neutral state.
This logic prevents partial or conflicting momentum signals from being displayed and reduces noise commonly produced by single-indicator oscillators.
The resulting output represents agreement quality, not raw oscillator values.
Visual Output & Interpretation
The main oscillator wave represents the current momentum state derived from the consensus logic:
Bullish Consensus — all engines aligned to the upside
Bearish Consensus — all engines aligned to the downside
Neutral State — disagreement or low-quality momentum
Additional visual elements (signal markers and trend filters) are derived from the same internal state, providing contextual confirmation rather than independent signals.
These visuals are intended to help users interpret momentum context, not to automate execution.
Originality & Purpose
This script is not a visual mashup of existing indicators.
Its output cannot be replicated by observing the individual components separately, as the system’s behavior depends on conditional interaction and suppression logic between engines.
By requiring full agreement before displaying momentum states, ChromaFlows emphasizes momentum clarity over signal frequency, making it suitable as a contextual analysis layer within broader trading frameworks.
Usage Notes
ChromaFlows Momentum Index is a visual analysis tool designed to assist with market interpretation.
It does not provide investment advice or guarantee outcomes and should be used in conjunction with other forms of analysis and risk management.
Version Notes (V1.2)
• Expanded divergence detection logic added for SMI line for improved momentum context
• Minor internal optimizations and code refinements
Supertrend Pro IndicatorSupertrend Pro Indicator with Relative Strength Index Filter is a clean and disciplined trading indicator designed for intraday and scalping traders.
This indicator combines Supertrend trend detection with RSI momentum confirmation to generate high-quality BUY and SELL signals while avoiding sideways and low-probability trades. Each trade automatically plots Risk and Reward zones directly on the chart.
The Risk-Reward zones dynamically extend forward and remain active until either the target or stop loss is hit, ensuring complete trade clarity.
To maintain discipline the indicator allows only one active trade at a time, meaning no new signals appear until the current trade is closed.
A built-in performance dashboard displays:
Total Target Hits
Total Stop Loss Hits
Total Trades
Win Percentage
🔹 Default Settings
Supertrend ATR Period: 10
Supertrend Multiplier: 1
Risk Reward Ratio: 1:1
RSI Length: 14
RSI Buy Above: 60
RSI Sell Below: 52
🔹 Best Used For
Intraday Trading
Scalping Strategies
Index & Stock Trading
3-minute, 5-minute, and 15-minute timeframes
This indicator is simple to use and suitable for both beginners and professional traders who value clarity, discipline, and risk management.
Disclaimer: This indicator is for educational purposes only. Always use proper risk management.
Adaptive Strength Overlay (MTF) [BackQuant]Adaptive Strength Overlay (MTF)
A multi-timeframe RSI strength visualizer that projects oscillator “pressure” directly onto price using adaptive gradient fills between percent bands. Built to make strength, exhaustion, and regime context readable at a glance, without needing to stare at a separate oscillator panel.
Mean-Reversion mode example
What this indicator does
This indicator converts RSI strength into a chart overlay that reacts to momentum and extremes, then visualizes it as colored “pressure zones” around price.
Instead of plotting RSI in a sub-window, it:
Builds 1 to 3 symmetric percent bands above and below price.
Computes RSI strength on up to 3 different timeframes (MTF).
Smooths RSI with your selected moving average type.
Maps RSI values into discrete transparency “buckets”.
Fills between the bands with a gradient whose opacity reflects strength or exhaustion.
Displays a compact RSI table for all enabled timeframes.
Provides alert conditions for extremes and midline shifts on each timeframe.
The result is an overlay that looks like a dynamic envelope. When strength rises, the envelope “lights up” in the direction of the move. When strength becomes stretched, the outer zones become visually prominent.
Core idea: “Strength as an overlay”
RSI is normally interpreted in a separate oscillator panel. That makes context-switching slow:
You check price action.
You look down at RSI.
You mentally translate RSI into risk or trend bias.
This script removes that translation step by projecting strength directly onto the price area, using band fills as a visual language:
More visible fill = stronger strength or more extreme condition (depending on mode).
Less visible fill = weak strength or neutral state.
Two operating modes
1) Trend mode
Trend mode emphasizes strength aligned with direction:
When RSI is strong on the upside, upper bands become more visible.
When RSI is strong on the downside, lower bands become more visible.
Neutral RSI fades, so the chart de-clutters during chop.
Use Trend mode when:
You want a clean trend-following overlay.
You want to quickly see which timeframe(s) are powering the move.
You want to filter entries to moments when strength confirms direction.
2) Mean-Reversion mode
Mean-Reversion mode flips the emphasis to highlight exhaustion against the move :
Upper extremes become a “potential exhaustion” cue.
Lower extremes become a “potential exhaustion” cue.
The overlay is tuned to make stretched conditions obvious.
This is not an automatic “short overbought / long oversold” system. It is a visualization mode that makes “extended” conditions stand out faster, especially when multiple timeframes align.
How the bands work (Percent Bands)
The indicator constructs up to three symmetric envelopes around price:
Band 1: percent1 scaled by scale
Band 2: percent2 scaled by scale (optional)
Band 3: percent3 scaled by scale (optional)
The percent bands are simple deviations from the selected price source:
Upper = price * (1 + (percent * scaling)/100)
Lower = price * (1 - (percent * scaling)/100)
Why this matters:
It anchors “strength visualization” to meaningful price distance.
It makes the overlay comparable across assets because it’s percent-based.
It gives you a consistent spatial frame for reading momentum versus extension.
Multi-timeframe engine (MTF)
The script runs the same strength calculation on up to three timeframes:
Timeframe 1 uses the chart timeframe by default (empty string input).
Timeframe 2 is optional and defaults to Daily.
Timeframe 3 is optional and defaults to Weekly.
Each timeframe has:
Its own RSI period (len, len2, len3).
Its own smoothing length (slen, slen2, slen3).
The same smoothing type selection (EMA, HMA, etc).
This creates a layered view:
TF1 often reflects tactical pressure (entries/exits).
TF2 reflects structural pressure (swing context).
TF3 reflects macro bias (regime context).
When multiple timeframes agree, the fills stack and the overlay becomes visually louder. When they disagree, the overlay looks mixed or muted, which is exactly the point.
Smoothing options (why so many)
Raw RSI can be noisy. This script lets you smooth RSI with multiple MA types, which changes how “responsive” the overlay feels:
EMA/RMA smooth without lagging as hard as SMA.
HMA responds faster but can be twitchy.
LINREG can feel more “structural”.
ALMA and T3/TEMA provide heavier smoothing profiles with different lag characteristics.
This isn’t cosmetic. Your smoothing choice affects:
How early the overlay “lights up” in Trend mode.
How long extremes remain highlighted in Mean-Reversion mode.
How often fills flicker in chop.
Strength mapping (the transparency buckets)
Instead of mapping RSI to a continuous color scale, the script uses a discrete transparency ladder. That creates a clean, readable visual that avoids constant flickering.
The logic assigns two transparency values per timeframe:
Upper-side transparency responds to lower RSI zones (weak upside strength).
Lower-side transparency responds to higher RSI zones (strong upside strength).
Then the script uses those transparencies differently depending on mode:
Trend mode shows “strength aligned with direction”.
Mean-Reversion mode swaps the emphasis so “extremes” stand out as potential stretch.
You can think of it as:
Trend mode highlights continuation strength.
Mean-Reversion mode highlights potential exhaustion.
Fill stacking (how the overlay is built)
The overlay uses layered fills:
Fill from price to Band 1
Fill from Band 1 to Band 2 (if enabled)
Fill from Band 2 to Band 3 (if enabled)
Upper side uses the negative color (typically red) and lower side uses the positive color (typically green), because upper bands represent “above price” space and lower bands represent “below price” space. The intensity is controlled by the computed transparency per timeframe and selected mode.
Important behavior:
Disabling Band 2 or Band 3 can change how the stacked fills look, because you are removing fill segments.
If you want a clean look, run only Band 1.
If you want a “regime heat” look, run Bands 1–3 with higher scaling.
Table (MTF RSI dashboard)
A compact table prints RSI values for each configured timeframe:
Row labels show TF.
Values show the smoothed RSI output that drives the overlay.
Use it for quick confirmation:
If overlay looks strong but table RSI is neutral, your band settings might be too tight.
If TF3 RSI is extreme while TF1 is neutral, you are likely in a macro stretched regime with local consolidation.
Alerts (built-in)
Alerts are provided for each timeframe separately, covering:
Entering upper extreme (cross above 70)
Exiting upper extreme (cross below 70)
Entering lower extreme (cross below 30)
Exiting lower extreme (cross above 30)
Bullish midline cross (cross above 50)
Bearish midline cross (cross below 50)
This enables workflows like:
Notify when TF2 enters extreme, then wait for TF1 mean-reversion confirmation.
Notify when TF3 crosses midline, then only take TF1 trend setups in that direction.
How to use it (practical reads)
Trend mode reads
Strong continuation: TF1 and TF2 fills become clearly visible on the same side.
Healthy pullback: TF1 fades but TF2 stays visible, suggesting underlying structure remains strong.
Chop warning: fills alternate or remain mostly invisible, indicating neutral strength.
Mean-Reversion mode reads
Exhaustion zones: outer fills become prominent near the extremes, signaling stretched conditions.
Compression after extreme: fill fades while price stabilizes, suggesting “cooling off” rather than immediate reversal.
Multi-TF stretch: TF2 and TF3 extremes together often mark higher significance zones.
Recommended setup presets
Preset A: Clean trend overlay
Mode: Trend
Bands: only Band 1
Scale: 1–2
Smoothing: EMA, moderate slen (6–10)
TF2: Daily on intraday charts
Preset B: Regime and exhaustion mapper
Mode: Mean-Reversion
Bands: Bands 1–3
Scale: 2–4
Smoothing: T3 or RMA, slightly higher slen
TF2: Daily, TF3: Weekly
Limitations
This is a strength visualization tool, not a full entry/exit system.
Percent bands are not volatility-adjusted, they are distance frames. In very high vol conditions, you may need higher band percentages or higher scaling.
MTF values update on their own timeframe closes, so higher timeframes will step rather than update every bar.
Nexus Flow ProNexus Flow Pro is a trading tool that combines "deep trend insight" with "precise trading signals." It navigates trending waves and accurately displays reversal signals; it is one of the most logically sound and visually appealing oscillator indicators.
This indicator employs a "dual-engine" logic, isolating and layering market trends:
Primary Engine: Based on an enhanced T3 smoothing algorithm, it captures the market's medium- to long-term trends. Visually, it serves as the background of the main chart, providing clear trend guidance.
Secondary Engine: Responsible for fine-grained momentum filtering and crossover point identification. It displays intensely contested price points in a more compact and lightweight manner, combining this with the main trend guidance to identify correct trading opportunities.
Each dot represents a different voice in the market, used to observe market dynamics and identify genuine trading opportunities.
Use 【Advanced Dynamic RSI Pro】 to determine market depth and avoid making the wrong entry point.
RSI Divergence + RSI Indicator MegartCombined RSI Divergence Indicator and RSI.
Highlights important RSI levels 70–80–90 and 30–20–10.
All calculations are always based on standard Japanese candlesticks, even when used on other chart types.
Advanced Dynamic RSI Pro40-60
Oscillation Phase: Market is in consolidation. Expect sideways movement with no clear trend.
>60
Bullish Signal: A breakout above 60 confirms upward momentum and trend strength.
<40
Bearish Signal: Dropping below 40 confirms a downward trend and selling pressure.
The depth of the MA (reaching levels above 70 or below 30) clearly visualizes extreme Overbought or Oversold market conditions.
RSI + MACD (RSI Divergence) V3.2
RSI + MACD (RSI Divergence)
This indicator combines RSI divergence detection with a scaled MACD overlay to help traders visualize momentum structure and divergence more clearly in a single pane.
Instead of using RSI and MACD as isolated signals, this script focuses on relative movement, swing structure, and divergence logic, making it especially useful for discretionary traders who analyze momentum behavior rather than fixed indicator levels.
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Key Features
RSI Divergence Engine
• Detects Regular Bullish / Bearish Divergence
• Optional Hidden Divergence (for trend continuation)
• Uses confirmed pivot logic (left/right lookback) to avoid repainting
• Adjustable divergence range to filter weak or overly distant signals
RSI is shifted by -50 to center it around zero, allowing better visual alignment with MACD without affecting divergence logic.
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Scaled MACD Overlay (Visual Momentum Only)
• MACD, Signal, and Histogram are rescaled dynamically to match the RSI oscillator range
• Designed for wave structure, phase comparison, and momentum timing
• Not intended as a traditional MACD signal generator
• Helps identify momentum agreement or disagreement with RSI divergence
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Clean & Practical Design
• Single pane display (no chart clutter)
• Color warnings for RSI overbought / oversold zones
• Adjustable scaling lookback for different markets and timeframes
• Optimized for smooth performance and non-repainting behavior
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How to Use
• Best used on indices, crypto, and liquid forex pairs
• Combine RSI divergence signals with:
o Market structure
o Support / resistance
o Trend context
• Use the MACD overlay to:
o Confirm momentum shifts
o Spot early loss of strength
o Compare oscillator phase alignment
This indicator is best suited for analysis and confirmation, not mechanical entry signals.
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Notes
• MACD values are scaled for visualization only and do not represent real MACD values
• Divergence signals are confirmation-based, not predictive
• No repainting once pivots are confirmed
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Who Is This For?
• Swing traders
• Momentum & divergence traders
• Traders who prefer structure-based confirmation over raw indicator signals
• Anyone who wants RSI & MACD behavior in a single, readable oscillator
Enjoy and happy trading!
DISCLAIMER
This script is intended for informational and educational purposes only. It does not constitute financial, investment, or trading advice. All trading decisions made based on its output are solely the responsibility of the user
Institutional Ghost Protocol - FINAL EXECUTION"This is a private institutional-grade indicator designed for high-precision entries. It combines EMA 8/80 crossovers with directional RSI (65/35), ATR volatility confirmation, and Open Interest flow. Optimized for Binance Perpetual Markets with specific Webhook integration for automated execution."
