EMA Spread Exhaustion DetectorEMA Spread Exhaustion – Reversal Scalper's Tool
Identifies trend exhaustion for high-probability counter-trend entries. Triggers when EMA(4/9/20) stack is fully aligned and spread stretches beyond ±ATR threshold. Ideal confluence for TDI hooks + strong rejection candles on 15s charts. Visual markers, fills, and alerts for quick scalps.
动量指标(MOM)
HOHO Oscillator Squeeze With AGAIG TurnsHOHO OSCILLATOR SQUEEZE WITH AGAIG TURN DETECTION
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OVERVIEW
This powerful indicator combines three proven trading concepts into one visually stunning, highly accurate momentum and trend analysis tool:
• HOHO (Hump Oscillator) - Multi-timeframe momentum oscillator
• Squeeze Indicator - Bollinger Bands/Keltner Channel volatility compression detector
• AGAIG (As Good As It Gets) Turn Detection - Intelligent price reversal identification
The result is a comprehensive trading system that identifies high-probability entry and exit points with exceptional visual clarity.
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KEY FEATURES
HOHO OSCILLATOR
The foundation of this indicator is the Hump Oscillator, which creates distinctive wave patterns ("humps") above and below the zero line. These colorful columns provide instant visual feedback on momentum direction and strength:
• Fast oscillator (thin columns) - Responsive to immediate price action
• Slow oscillator (wide columns) - Confirms underlying trend momentum
• Color-coded bars shift from bright (strong momentum) to dark (weakening momentum)
• Fully customizable MA types (EMA/SMA) and lengths
SQUEEZE DETECTION
Integrated Bollinger Band and Keltner Channel analysis identifies volatility compression:
• Yellow zero-line dots signal active squeeze conditions
• Optional yellow background highlights compression zones
• Anticipates explosive breakout moves
• Adjustable BB and KC parameters for different markets and timeframes
AGAIG TURN DETECTION
Intelligent price reversal identification based on the "As Good As It Gets" methodology:
• Automatically identifies significant market turning points
• Adjustable sensitivity via "Turn Detection Length" (lower = more signals, higher = fewer signals)
• Strength filter ensures only quality setups are marked (1-10 scale)
• Eliminates noise and false signals common in traditional pivot indicators
VISUAL SIGNALS
• BUY arrows (green triangles) mark bullish reversal opportunities
• SELL arrows (red triangles) mark bearish reversal opportunities
• Text labels positioned for optimal readability
• All arrows appear at actual turning points with configurable lookback offset
FLEXIBLE CUSTOMIZATION
• Choose between EMA or SMA for all moving average calculations
• Adjustable oscillator lengths for different trading styles
• Configurable turn detection sensitivity
• Optional bar coloring based on Fast or Slow momentum
• Clean, professional visual design
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HOW TO USE
ENTRY SIGNALS
Look for BUY/SELL arrows combined with:
1. Squeeze conditions (yellow markers) for highest-probability setups
2. Oscillator color confirmation (green for longs, red for shorts)
3. Turn strength that meets your minimum requirements
TREND CONFIRMATION
• Strong green humps = bullish momentum building
• Strong red humps = bearish momentum building
• Oscillator crossing zero = momentum shift
• Color transitions = momentum strengthening or weakening
VOLATILITY ANALYSIS
• Yellow zero-line dots = consolidation/squeeze active
• Expansion after squeeze = high-probability breakout opportunity
• Combine with turn arrows for precise entry timing
PARAMETER TUNING
For scalping/day trading (5m-15m charts):
• Turn Detection Length: 3-5
• Turn Strength: 2-4
For swing trading (1H-4H charts):
• Turn Detection Length: 5-8
• Turn Strength: 3-5
For position trading (Daily charts):
• Turn Detection Length: 8-15
• Turn Strength: 5-7
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CREDITS & ATTRIBUTION
This indicator builds upon the excellent work of:
• HOHO (Hump Oscillator) - Original concept from ThinkorSwim community
• Squeeze Indicator - Based on TTM Squeeze by John Carter
• AGAIG (As Good As It Gets) - Turn detection methodology by NPR21
Converted and enhanced for TradingView with permission from the trading community.
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BEST PRACTICES
✓ Use on liquid markets (major indices, forex pairs, crypto)
✓ Combine with support/resistance levels for confluence
✓ Wait for oscillator color confirmation before entry
✓ Higher turn strength settings = fewer but higher-quality signals
✓ Squeeze breakouts offer exceptional risk/reward opportunities
✓ Practice proper risk management and position sizing
✗ Don't trade every arrow - wait for confluence
✗ Don't ignore the oscillator colors - they show momentum health
✗ Don't use overly sensitive settings in choppy markets
✗ Don't trade counter to the oscillator trend without strong confirmation
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WHAT MAKES THIS INDICATOR UNIQUE
Unlike standalone momentum oscillators or simple pivot indicators, this tool synthesizes three proven methodologies into a single, coherent visual system. The combination of momentum analysis (HOHO), volatility detection (Squeeze), and intelligent turn identification (AGAIG) provides traders with a comprehensive view of market conditions and high-probability trading opportunities.
The indicator's visual design uses color psychology and positioning to make complex market analysis instantly understandable at a glance - critical for fast-moving markets and quick decision-making.
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SUITABLE FOR
• Day traders on 5m-30m timeframes
• Swing traders on 1H-Daily timeframes
• Scalpers seeking momentum confirmation
• Options traders identifying reversal points
• Futures traders (especially /ES, /NQ, /YM)
• Forex traders on major pairs
• Cryptocurrency traders
Kewme//@version=5
indicator("EMA 9/15 + ATR TP/SL Separate Boxes (No Engulfing)", overlay=true, max_lines_count=500, max_boxes_count=500)
// ===== INPUTS =====
atrLen = input.int(14, "ATR Length")
slMult = input.float(1.0, "SL ATR Multiplier")
rr = input.float(2.0, "Risk Reward")
// ===== EMA =====
ema9 = ta.ema(close, 9)
ema15 = ta.ema(close, 15)
plot(ema9, color=color.green, title="EMA 9")
plot(ema15, color=color.red, title="EMA 15")
// ===== TREND STATE =====
var int trendState = 0
// ===== ATR =====
atr = ta.atr(atrLen)
// ===== Indecision =====
bodySize = math.abs(close - open)
candleRange = high - low
indecision = bodySize <= candleRange * 0.35
// ===== SIGNAL CONDITIONS (NO Engulfing) =====
buySignal =
ema9 > ema15 and
trendState != 1 and
indecision and
close > ema9
sellSignal =
ema9 < ema15 and
trendState != -1 and
indecision and
close < ema9
// ===== UPDATE TREND STATE =====
if buySignal
trendState := 1
if sellSignal
trendState := -1
// ===== SL & TP =====
buySL = close - atr * slMult
buyTP = close + atr * slMult * rr
sellSL = close + atr * slMult
sellTP = close - atr * slMult * rr
// ===== PLOTS =====
plotshape(buySignal, text="BUY", style=shape.labelup, location=location.belowbar, color=color.green, size=size.tiny)
plotshape(sellSignal, text="SELL", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.tiny)
// ===== VARIABLES =====
var line buySLLine = na
var line buyTPLine = na
var line sellSLLine = na
var line sellTPLine = na
var box buySLBox = na
var box buyTPBox = na
var box sellSLBox = na
var box sellTPBox = na
// ===== BUY SIGNAL =====
if buySignal
// Delete previous
if not na(buySLLine)
line.delete(buySLLine)
line.delete(buyTPLine)
box.delete(buySLBox)
box.delete(buyTPBox)
// Draw lines
buySLLine := line.new(bar_index, buySL, bar_index + 15, buySL, color=color.red, width=2)
buyTPLine := line.new(bar_index, buyTP, bar_index + 15, buyTP, color=color.green, width=2)
// Draw separate boxes
buySLBox := box.new(bar_index, buySL - atr*0.1, bar_index + 15, buySL + atr*0.1, border_color=color.red, bgcolor=color.new(color.red,70))
buyTPBox := box.new(bar_index, buyTP - atr*0.1, bar_index + 15, buyTP + atr*0.1, border_color=color.green, bgcolor=color.new(color.green,70))
// ===== SELL SIGNAL =====
if sellSignal
// Delete previous
if not na(sellSLLine)
line.delete(sellSLLine)
line.delete(sellTPLine)
box.delete(sellSLBox)
box.delete(sellTPBox)
// Draw lines
sellSLLine := line.new(bar_index, sellSL, bar_index + 15, sellSL, color=color.red, width=2)
sellTPLine := line.new(bar_index, sellTP, bar_index + 15, sellTP, color=color.green, width=2)
// Draw separate boxes
sellSLBox := box.new(bar_index, sellSL - atr*0.1, bar_index + 15, sellSL + atr*0.1, border_color=color.red, bgcolor=color.new(color.red,70))
sellTPBox := box.new(bar_index, sellTP - atr*0.1, bar_index + 15, sellTP + atr*0.1, border_color=color.green, bgcolor=color.new(color.green,70))
Stochastic RSI with DivergencesStochastic RSI with Divergences - Enhanced Edition
DESCRIPTION
- This is an enhanced version of the classic Stochastic RSI indicator with divergence detection, originally created by @fskrypt (Log RSI), @RicardoSantos (Divergences), @JustUncleL (edits), and @NeoButane (2018 modifications). Full credit to these talented developers for the foundational work.
ENHANCEMENTS & MODIFICATIONS
- This version adds several user-requested features for improved customization and clarity:
- Divergence Signal Labels: Regular divergence signals now display "Buy" (green) and "Sell" (red) instead of generic "R" markers. Hidden divergences show "H-Buy" and "H-Sell" for clearer identification.
- Customizable Colors: User-adjustable colors for both K line (default: blue) and D line (default: orange) allow traders to match their chart themes.
- Adjustable Transparency: Separate opacity controls for the K/D fill shading (default: 70%) and background zones (default: 98%) provide precise visual customization without overwhelming the chart.
- Optional Divergence Lines: Toggle the green and red divergence connecting lines on/off while keeping the Buy/Sell labels visible, reducing visual clutter when desired.
- Organized Settings: All inputs are logically grouped (StochRSI Settings, Divergence Settings, Colors, Opacity) for easier navigation and configuration.
HOW IT WORKS
- The indicator identifies regular and hidden divergences between price action and the Stochastic RSI oscillator:
- Regular Bullish Divergence (Buy): Price makes lower lows while StochRSI makes higher lows - potential reversal signal
- Regular Bearish Divergence (Sell): Price makes higher highs while StochRSI makes lower highs - potential reversal signal
- Hidden Bullish Divergence (H-Buy): Price makes higher lows while StochRSI makes lower lows - trend continuation signal
- Hidden Bearish Divergence (H-Sell): Price makes lower highs while StochRSI makes higher highs - trend continuation signal
- The Stochastic RSI oscillates between 0-100, with readings above 80 indicating overbought conditions and below 20 indicating oversold conditions.
SETTINGS
StochRSI Settings
RSI Length: 14 (default)
Stoch Length: 14 (default)
K Smoothing: 3 (default)
D Smoothing: 3 (default)
Log Scale: Optional logarithmic transformation
Average K & D: Optional blending of both lines
Divergence Settings
Show Divergences: Toggle all divergence signals
Show Hidden Divergences: Toggle H-Buy/H-Sell signals
Show Divergence Lines: Toggle connecting lines between divergence points
Show Divergences Channel: Display fractal channels
Colors
K Line Color: Customize the fast line
D Line Color: Customize the slow line
Opacity
- Background Opacity: Control 20-80 zone shading (0-100)
K/D Fill Opacity: Control area between K and D lines (0-100)
USE CASES
- Momentum trading: Identify overbought/oversold conditions
Divergence trading: Spot potential reversals and trend continuations
Multi-timeframe analysis: Confirm signals across different timeframes
Trend confirmation: Use with other indicators for confluence
CREDITS
- Original concept and code: @fskrypt (Log RSI), @RicardoSantos (Divergence detection), @JustUncleL (modifications), @NeoButane (2018 updates)
Enhanced by: NPR21 (User interface improvements, label modifications, transparency controls)
Liquidity Trend Horizon [Pineify]Pineify - Liquidity Trend Horizon
The Liquidity Trend Horizon is a sophisticated trend-following indicator designed to identify potential liquidity sweep zones while providing clear visual trend direction. It combines adaptive volatility bands with smart liquidity detection to help traders spot high-probability reversal points where institutional activity may be occurring.
Key Features
Dynamic trend baseline using WMA and EMA smoothing
ATR-based volatility bands that adapt to market conditions
Automatic liquidity sweep detection with visual alerts
Gradient-filled channels for intuitive trend visualization
Real-time candle coloring based on trend direction
How It Works
The indicator calculates a weighted moving average (WMA) of the closing price, then applies exponential smoothing (EMA) to create a responsive yet stable baseline. This dual-smoothing approach filters out market noise while maintaining sensitivity to genuine trend changes.
Volatility bands are constructed using a 200-period Average True Range (ATR) multiplied by a user-defined factor. This creates dynamic support and resistance zones that automatically widen during volatile periods and contract during consolidation.
How Multiple Indicators Work Together
The synergy between WMA, EMA, and ATR creates a comprehensive trend analysis system:
The WMA provides the initial trend estimation with emphasis on recent price action
The EMA layer adds smoothness to reduce false signals
The ATR bands define probabilistic boundaries where price is likely to find support or resistance
Trading Ideas and Insights
Liquidity sweeps occur when price wicks beyond the volatility bands but closes back within the channel. These events often indicate:
Stop-loss hunting by larger market participants
False breakouts that may lead to reversals
Areas of accumulated liquidity being absorbed
A bullish sweep (wick below lower band, close above) suggests potential buying opportunity. A bearish sweep (wick above upper band, close below) may signal selling pressure.
Unique Aspects
Unlike traditional channel indicators, the Liquidity Trend Horizon specifically identifies sweep events where price temporarily breaks boundaries before reverting. This behavior is commonly associated with institutional order flow and smart money concepts.
How to Use
Observe the baseline color for overall trend direction (cyan for bullish, purple for bearish)
Watch for sweep markers (🚀 BULL / 📉 BEAR) at band extremes
Use background flashes as immediate alerts for sweep events
Consider entries when sweeps align with the prevailing trend direction
Customization
Trend Period - Adjust baseline sensitivity (default: 24)
Channel Width Multiplier - Control band distance from baseline (default: 2.0)
Smoothness - Fine-tune signal responsiveness (default: 5)
Color Settings - Personalize bullish/bearish colors and transparency
Conclusion
The Liquidity Trend Horizon bridges technical analysis with liquidity concepts, offering traders a unique perspective on market structure. By highlighting potential sweep zones within an adaptive trend framework, it helps identify areas where reversals are statistically more likely to occur.
Momentum Pro (Tuned v6)Momentum Pro (Tuned v6) is an intraday momentum strategy designed to capture high-quality continuation moves while aggressively filtering out chop and low-participation setups. It combines trend alignment, volume confirmation, momentum strength, and volatility-based risk control into a single rules-driven system.
The strategy is optimized for 1–5 minute charts on liquid stocks and ETFs and is intended for short-term trading, not mean reversion or scalping.
Momentum Pro requires price to be above session VWAP and EMA(8) to be above EMA(18), ensuring trades align with the dominant intraday trend. Momentum quality is confirmed using the MACD histogram and an RSI entry band that favors strength without chasing overextended moves. Relative Volume must exceed a strict threshold to ensure real participation, and ADX is used to avoid low-trend, choppy conditions.
Entries occur only on confirmed breakouts above recent highs, reducing false signals during consolidation. Risk is managed using an ATR-based stop that adapts to volatility, paired with a fixed reward-to-risk profit target to enforce positive expectancy. Optional early exits are included to protect profits if momentum fades or price loses VWAP.
This strategy is not predictive and does not attempt to call tops or bottoms. It is designed to trade only when multiple conditions align, favoring fewer, higher-quality trades over frequency. It works best when used with a higher-timeframe market bias and strict risk discipline.
Zenith MACD Evolution [JOAT]
Zenith MACD Evolution - Volatility-Normalized Momentum Oscillator
Introduction and Purpose
Zenith MACD Evolution is an open-source oscillator indicator that takes the classic MACD and normalizes it by ATR (Average True Range) to create consistent overbought/oversold levels across different market conditions. The core problem this indicator solves is that traditional MACD values are incomparable across different volatility regimes. A MACD reading of 50 might be extreme in a quiet market but normal in a volatile one.
This indicator addresses that by dividing MACD by ATR and scaling to a consistent range, allowing traders to use fixed overbought/oversold levels that work across all market conditions.
Why ATR Normalization Works
Traditional MACD problems:
- Values vary wildly based on price and volatility
- No consistent overbought/oversold levels
- Hard to compare across different instruments
- Extreme readings in one period may be normal in another
ATR-normalized MACD (Zenith) solves these:
- Values scaled to consistent range
- Fixed overbought/oversold levels work across all conditions
- Comparable across different instruments
- Extreme readings are truly extreme regardless of volatility
How the Normalization Works
// Classic MACD
= ta.macd(close, fastLength, slowLength, signalLength)
// ATR for normalization
float atrValue = ta.atr(atrNormLength)
// Volatility-Normalized MACD
float zenithMACD = atrValue != 0 ? (histLine / atrValue) * 100 : 0
float zenithSignal = ta.ema(zenithMACD, signalLength)
The result is a MACD that typically ranges from -200 to +200, with consistent levels:
- Above +150 = Overbought
- Below -150 = Oversold
- Above +200 = Extreme overbought
- Below -200 = Extreme oversold
Signal Types
Zero Cross Up/Down - Zenith crosses zero line (trend change)
Overbought/Oversold Entry - Zenith enters extreme zones
Overbought/Oversold Exit - Zenith leaves extreme zones (potential reversal)
Momentum Shift - Histogram direction changes (early warning)
Divergence - Price makes new high/low but Zenith does not
Histogram Coloring
The histogram uses four colors to show momentum state:
- Strong Bull (Teal) - Positive and rising
- Weak Bull (Light Teal) - Positive but falling
- Strong Bear (Red) - Negative and falling
- Weak Bear (Light Red) - Negative but rising
This helps identify momentum shifts before crossovers occur.
Dashboard Information
Zenith - Current normalized MACD value with signal line
Zone - Current zone (EXTREME OB/OVERBOUGHT/NORMAL/OVERSOLD/EXTREME OS)
Momentum - Direction (RISING/FALLING/FLAT)
Histogram - Current histogram value
ATR Norm - Current ATR value used for normalization
Classic - Traditional MACD value for reference
How to Use This Indicator
For Mean-Reversion:
1. Wait for Zenith to reach extreme zones (+200/-200)
2. Look for momentum shift (histogram color change)
3. Enter counter-trend when exiting extreme zone
For Trend Following:
1. Enter long on zero cross up
2. Enter short on zero cross down
3. Use histogram color to gauge momentum strength
For Divergence Trading:
1. Watch for DIV labels (price vs Zenith divergence)
2. Bullish divergence at support = potential long
3. Bearish divergence at resistance = potential short
Input Parameters
Fast/Slow/Signal Length (12/26/9) - Standard MACD parameters
ATR Normalization Period (26) - Period for ATR calculation
Overbought/Oversold Zone (150/-150) - Zone thresholds
Extreme Level (200) - Extreme threshold
Show Classic MACD Lines (false) - Toggle traditional lines
Show Divergence Detection (true) - Toggle divergence signals
Divergence Lookback (14) - Bars to scan for divergence
Timeframe Recommendations
All timeframes work due to normalization
Higher timeframes provide smoother signals
Normalization makes cross-timeframe comparison meaningful
Limitations
ATR normalization adds slight lag
Divergence detection is simplified
Extreme zones can persist in strong trends
Works best when combined with price action analysis
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Momentum analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Vortex Trend Matrix [JOAT]Vortex Trend Matrix - Multi-Factor Trend Confluence System
Introduction and Purpose
Vortex Trend Matrix is an open-source overlay indicator that combines Ichimoku-style equilibrium analysis with the Vortex Indicator to create a comprehensive trend confluence system. The core problem this indicator solves is that single trend indicators often give conflicting signals. Price might be above a moving average but momentum might be weakening.
This indicator addresses that by combining five different trend factors into a single composite score, making it easy to identify when multiple factors align for high-probability trend trades.
Why These Components Work Together
Each component measures trend from a different perspective:
1. Cloud Position - Price above/below the equilibrium cloud indicates overall trend bias. The cloud acts as dynamic support/resistance.
2. TK Relationship - Conversion line vs Base line (like Tenkan/Kijun in Ichimoku). Conversion above Base = bullish momentum.
3. Lagging Span - Current price compared to price N bars ago. Confirms whether current move has follow-through.
4. Vortex Indicator - VI+ vs VI- measures directional movement strength. Provides momentum confirmation.
5. Base Direction - Whether the base line is rising or falling. Indicates medium-term trend direction.
How the Trend Score Works
float trendScore = 0.0
// Cloud position (+2/-2)
trendScore += aboveCloud ? 2.0 : belowCloud ? -2.0 : 0.0
// TK relationship (+1/-1)
trendScore += conversionLine > baseLine ? 1.0 : conversionLine < baseLine ? -1.0 : 0.0
// Lagging span (+1/-1)
trendScore += laggingBull ? 1.0 : laggingBear ? -1.0 : 0.0
// Vortex (+1.5/-1.5)
trendScore += vortexBull ? 1.5 : vortexBear ? -1.5 : 0.0
// Base direction (+0.5/-0.5)
trendScore += baseDirection * 0.5
Score ranges from approximately -6 to +6:
- +4 or higher = STRONG BULL
- +2 to +4 = BULL
- -2 to +2 = NEUTRAL
- -4 to -2 = BEAR
- -4 or lower = STRONG BEAR
Signal Types
TK Cross Up/Down - Conversion line crosses Base line (momentum shift)
Base Direction Change - Base line changes direction (medium-term shift)
Strong Bull/Bear Trend - Score reaches +4/-4 (high confluence)
Dashboard Information
Trend - Overall status with composite score
Cloud - Price position (ABOVE/BELOW/INSIDE)
TK Cross - Conversion vs Base relationship
Lagging - Lagging span bias
Vortex - VI+/VI- relationship
VI+/VI- - Individual vortex values
How to Use This Indicator
For Trend Following:
1. Enter long when trend score reaches +4 or higher (STRONG BULL)
2. Enter short when trend score reaches -4 or lower (STRONG BEAR)
3. Use cloud as dynamic support/resistance for entries
For Momentum Timing:
1. Watch for TK Cross signals for entry timing
2. Base direction changes indicate medium-term shifts
3. Vortex confirmation adds conviction
For Risk Management:
1. Exit when trend score drops to neutral
2. Use cloud edges as stop-loss references
3. Reduce position when score weakens
Input Parameters
Conversion Period (9) - Fast equilibrium line
Base Period (26) - Slow equilibrium line
Lead Span Period (52) - Cloud projection period
Displacement (26) - Cloud and lagging span offset
Vortex Period (14) - Period for vortex calculation
VI+ Strength (1.10) - Threshold for strong bullish vortex
VI- Strength (0.90) - Threshold for strong bearish vortex
Timeframe Recommendations
4H-Daily: Best for equilibrium-based analysis
1H: Good for intraday trend following
Lower timeframes may require adjusted periods
Limitations
Equilibrium calculations have inherent lag
Cloud displacement means signals are delayed
Works best in trending markets
May whipsaw in ranging conditions
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Adjusted RSI - [JTCAPITAL]Adjusted RSI – is a modified and enhanced way to use the Relative Strength Index (RSI) combined with double normalization, adaptive exponential smoothing, and range compression to create a smoother, more readable, and more structurally consistent momentum oscillator for Trend-Following and momentum analysis.
This indicator is designed to solve several common RSI issues at once:
Excessive noise in raw RSI values
Inconsistent scaling across different market conditions
Difficulty identifying true momentum shifts versus random fluctuations
By re-centering, compressing, normalizing, and smoothing RSI data twice , this script produces a highly refined momentum curve that reacts smoothly while still respecting directional changes.
The indicator works by calculating in the following steps:
Raw RSI Calculation
The script begins by calculating a standard RSI using the selected RSI Length . This RSI is based on the closing price and measures relative strength by comparing average gains and losses over the defined period.
RSI Re-Centering
After the RSI is calculated, the script subtracts 50 from the RSI value.
This converts the RSI from its native scale into a centered oscillator ranging around 0 , making positive values bullish momentum and negative values bearish momentum.
Initial RSI Smoothing
The re-centered RSI is then smoothed using a Simple Moving Average (SMA) over the defined RSI Smoothing Length .
This step removes high-frequency noise and stabilizes short-term RSI fluctuations before further processing.
Range Compression (Clipping)
To prevent extreme outliers from dominating future calculations, the RSI values are clipped:
Values below -10 are forced to -10
Values above +10 are forced to +10
This creates a controlled and consistent RSI range, ensuring later normalization behaves reliably.
First Normalization (Min-Max Scaling)
The clipped RSI values are normalized over the selected Smoothing Length :
The lowest RSI value in the window is detected
The highest RSI value in the window is detected
Current RSI is scaled to a 0–100 range based on this dynamic range
This allows the indicator to adapt automatically to changing volatility and momentum environments.
First Adaptive Smoothing
The normalized RSI is then smoothed using a custom exponential smoothing formula controlled by the Smoothing Factor .
This smoothing behaves similarly to an EMA but allows explicit control over responsiveness.
Second Normalization
The smoothed values undergo a second min-max normalization over the same length.
This further stabilizes the oscillator and ensures consistent amplitude and structure, regardless of market regime.
Second Adaptive Smoothing
A second exponential smoothing pass is applied to the normalized data, further refining the curve and reducing residual noise.
Final Re-Centering
Finally, the indicator subtracts 50 from the smoothed normalized values, re-centering the oscillator around zero .
This produces the final Adjusted RSI line used for visualization and analysis.
Common interpretations for use include:
Bullish Momentum :
When the Adjusted RSI is above zero and rising, indicating strengthening bullish pressure.
Bearish Momentum :
When the Adjusted RSI is below zero and falling, indicating strengthening bearish pressure.
Momentum Shifts :
A change in slope (from falling to rising or vice versa) often signals an early momentum transition.
Divergences :
Differences between price direction and Adjusted RSI direction can highlight potential reversals.
Because the indicator is normalized and smoothed, it pairs exceptionally well with:
Trend filters (moving averages, trend lines)
Volatility filters
Higher-timeframe confirmation
Features and Parameters:
RSI Length
Defines the lookback period for the initial RSI calculation.
RSI Smoothing Length
Controls the SMA smoothing applied directly to the re-centered RSI.
Smoothing Length
Determines the lookback window used for both normalization passes.
Smoothing Factor
Controls the responsiveness of the adaptive exponential smoothing.
Lower values = smoother, slower reaction
Higher values = faster, more responsive reaction
Specifications:
Relative Strength Index (RSI)
RSI is a momentum oscillator that measures the speed and magnitude of recent price changes. By re-centering RSI around zero, the script converts it into a directional momentum oscillator that is easier to interpret for trend-following.
Simple Moving Average (SMA)
The SMA reduces short-term fluctuations in RSI, ensuring that only meaningful momentum changes proceed to later calculations.
Range Clipping
By limiting RSI values to a defined range, extreme spikes are prevented from skewing normalization. This keeps the indicator stable across different assets and timeframes.
Min-Max Normalization
Normalization rescales values into a fixed range (0–100), allowing momentum behavior to remain consistent regardless of volatility conditions.
Adaptive Exponential Smoothing
This smoothing technique gradually adjusts values toward new data based on the smoothing factor. It allows the indicator to remain smooth while still reacting to genuine momentum shifts.
Double Normalization and Double Smoothing
Applying normalization and smoothing twice significantly improves structural stability. The result is a refined oscillator that filters noise without sacrificing trend awareness.
Why This Combination Works
By combining RSI with controlled compression, adaptive smoothing, and dynamic normalization, this indicator transforms raw momentum data into a highly structured and trend-aligned oscillator. The result is an RSI-based tool that:
Reduces noise
Adapts to volatility
Maintains consistent scaling
Highlights true momentum direction
This makes the Adjusted RSI particularly effective for swing trading, trend confirmation, and momentum-based strategies across all markets and timeframes.
Enjoy!
Aura Vortex Oscillator [Pineify]Aura Vortex Oscillator – Adaptive Momentum with Visual Depth
The Aura Vortex Oscillator is a sophisticated momentum indicator that transforms raw price action into a visually immersive analytical tool. By combining Sigmoid-based normalization through ArcTan mathematics with adaptive momentum calculations, this oscillator delivers clear, bounded signals while filtering market noise. The distinctive "Vortex Mesh" visualization creates a layered depth effect that reveals trend consensus across multiple smoothing periods.
Key Features
Sigmoid normalization using ArcTan function for bounded output (-100 to +100)
Adaptive momentum calculation with standard deviation normalization
Multi-layered "Vortex Mesh" creating visual depth and trend confluence signals
Dynamic color-coded visualization for instant trend recognition
Zero-line crossover signals with plotted reversal markers
Extreme zone highlighting for overbought/oversold conditions
How It Works
The core calculation begins with computing the Z-score of price relative to its simple moving average, normalized by standard deviation. This adaptive component automatically adjusts sensitivity based on recent volatility. The normalized value then passes through an ArcTan function, which acts as a sigmoid transformation, "squarifying" the output to emphasize extreme conditions while keeping values bounded.
os = atan(z × intensity) × 63.66
The multiplier 63.66 scales the output to approximately -100 to +100, providing intuitive overbought/oversold levels at ±50.
Trading Ideas and Insights
Use zero-line crossovers as primary trend change signals – bullish when crossing above, bearish when crossing below
Monitor the Vortex Mesh thickness – a thick, solid aura indicates strong trend consensus across timeframes
Watch for background highlighting at ±50 levels to identify statistical extremes for potential reversals
Combine with price action analysis when the oscillator reaches boundary zones
How Multiple Indicators Work Together
The Aura Vortex Oscillator integrates three technical concepts into one cohesive system. The adaptive momentum calculation provides the raw signal, responding dynamically to market volatility. The ArcTan normalization bounds this signal and emphasizes extremes without clipping. Finally, the Vortex Mesh applies multiple EMA smoothing layers to the base signal, creating visual depth that shows whether different momentum speeds agree on trend direction.
Unique Aspects
Unlike traditional oscillators that show a single line, this indicator visualizes momentum as a "thermal field" through its layered mesh system. The mesh expands and contracts based on trend agreement – a thick, cohesive glow suggests high-confluence momentum, while a thin, scattered appearance warns of choppy, range-bound conditions.
How to Use
Add the indicator to your chart as a separate pane
Look for color transitions (green to red or vice versa) at zero-line crosses for trend reversals
Use the ±50 boundary zones and background highlighting to identify overextended conditions
Enable the Vortex Mesh to visualize trend strength and momentum consensus
Customization
Vortex Sensitivity (20) : Base period for momentum calculation – lower values increase responsiveness
Vortex Intensity (2.0) : Amplifies signal squarification – higher values push readings toward extremes faster
Aura Smoothing (8) : EMA period for the main signal line – higher values reduce noise
Enable Vortex Mesh : Toggle the layered visualization effect
Color Settings : Customize bullish, bearish, and neutral colors
Conclusion
The Aura Vortex Oscillator offers traders a unique perspective on momentum analysis by combining mathematical rigor with innovative visualization. Its adaptive normalization ensures reliable signals across different market conditions, while the Vortex Mesh provides instant visual feedback on trend quality. Whether you are identifying trend reversals, measuring momentum strength, or seeking confluence confirmation, this oscillator delivers actionable insights in an intuitive format.
Hull DMI - MattesHull DMI - Mattes
A Directional Movement Index enhanced with Hull Moving Average smoothing for refined trend detection.
This indicator reimagines the classic Directional Movement Index (DMI) by incorporating Hull Moving Average (HMA) smoothing on high and low prices. It calculates the +DI and -DI components based on changes in these hulled values, then derives the ADX for trend strength. The core plot displays the difference between +DI and -DI, colored to indicate bullish (blue) or bearish (purple) dominance when ADX is rising. Additionally, it overlays colored candles on the price chart to visually represent the prevailing trend direction.
Key Features:
Hull-Smoothed Inputs: Applies HMA to highs and lows before computing directional changes, reducing noise and lag compared to standard DMI.
Customizable Lengths: Adjustable periods for HMA, DI, and ADX smoothing to suit various timeframes and assets.
Trend Visualization: Plots DI difference with dynamic coloring and overlays trend-colored candles for at-a-glance analysis.
Alert Conditions: Built-in alerts for long (bullish) and short (bearish) signals when conditions shift.
How It Differs from Standard DMI/ADX:
Unlike the traditional DMI, which uses raw price changes and true range, this version employs Hull Moving Averages on highs and lows for smoother, more responsive directional calculations. This minimizes whipsaws in choppy markets while preserving sensitivity to genuine trends. The ADX is integrated to filter signals, ensuring color changes and alerts only occur during strengthening trends, setting it apart from basic oscillator-based indicators. Why It's Useful:
Enhanced Trend Identification: The HMA smoothing provides clearer signals in volatile environments, helping traders spot emerging trends earlier.
Visual Clarity: Colored DI plot and candle overlays make it easy to interpret market bias without cluttering the chart.
Versatility: Suitable for stocks, forex, crypto, and more; excels in trend-following strategies or as a filter for other systems.
Risk Management Aid: By focusing on ADX-confirmed moves, it reduces false signals, potentially improving win rates in systematic trading.
This Hull DMI variant offers several practical advantages that can directly improve trading decisions and performance:
Reduced Lag with Smoother Signals: By applying Hull Moving Average smoothing to highs and lows, the indicator responds faster to genuine trend changes than the standard DMI while filtering out much of the noise that causes false signals in ranging or choppy markets. Traders get earlier entries into trending moves without excessive whipsaws.
Built-in Trend Strength Filter: The optional ADX confirmation (enabled by default) ensures bullish signals and blue coloring only activate when trend strength is increasing (ADX rising). This helps traders avoid entering long positions during weakening or sideways trends, focusing capital on higher-probability setups.
Clear Visual Bias at a Glance: The single oscillator line (+DI – -DI) centered on zero, combined with dynamic blue/purple coloring and full candle overlay on the price chart, instantly shows the dominant trend direction. No need to interpret multiple lines—traders can quickly assess market bias across multiple charts or timeframes.
Versatile Across Markets and Styles: Works effectively on stocks, forex, futures, and cryptocurrencies. Trend-following traders can use it standalone for entries/exits, swing traders can use it for bias confirmation, and scalpers/day traders benefit on lower timeframes due to the reduced lag.
Improved Risk Management: By prioritizing ADX-confirmed directional moves, the indicator naturally filters low-conviction setups. This can lead to higher win rates and better risk-reward ratios when used systematically, especially when combined with proper stop-loss placement below/above recent swings.
Easy Integration: Built-in alert conditions and simple long/short logic make it straightforward to incorporate into automated strategies, watchlists, or as a confirming filter alongside other indicators (e.g., moving averages, RSI, volume profile).
Customizable Sensitivity: Separate inputs for Hull length, DI period, and ADX smoothing allow traders to optimize the indicator for specific assets, volatility regimes, or personal trading horizons—making it adaptable rather than one-size-fits-all.
Signals & Interpretation
The oscillator plots the difference between +DI and -DI (positive = bullish dominance, negative = bearish).
Bullish Signal (Long): +DI crosses above -DI, and (if ADX confirmation enabled) ADX is rising — triggers blue coloring, candle overlay, and long alert.
Bearish Signal (Short): -DI crosses above +DI — triggers purple coloring, candle overlay, and short alert.
Zero line acts as neutrality; crossings indicate potential trend shifts.
Best used in trending markets; ADX rising filter helps avoid whipsaws.
// Example Usage in Strategy
strategy("Hull DMI Strategy Example", overlay=true)
if L
strategy.entry("Long", strategy.long)
if S
strategy.entry("Short", strategy.short)
Great Inventions Require great care
Disclaimer: This indicator is provided for educational and informational purposes only and should not be considered as financial advice. Past performance is not indicative of future results. Always backtest thoroughly on your specific assets and timeframes, and consult a qualified financial advisor before making trading decisions. The author assumes no responsibility for any losses incurred from its use.
Pulse Volume Commitment [JOAT]
Pulse Volume Commitment - Three-Dimensional Momentum Analysis
Introduction and Purpose
Pulse Volume Commitment is an open-source oscillator indicator that analyzes price action through three distinct dimensions: Quantity (candle count), Quality (body structure), and Commitment (volume-weighted quality). The core problem this indicator solves is that simple bullish/bearish candle counts miss important context. A market can have more green candles but still be weak if those candles have small bodies and low volume.
This indicator addresses that by requiring all three dimensions to align before generating strong signals, filtering out weak moves that lack conviction.
Why These Three Dimensions Work Together
Each dimension measures a different aspect of market conviction:
1. Quantity - Counts bullish vs bearish candles over the lookback period. Tells you WHO is winning the candle count battle.
2. Quality - Scores candles by body size relative to total range. Full-bodied candles (small wicks) indicate stronger conviction than doji-like candles. Tells you HOW decisively price is moving.
3. Commitment - Weights quality scores by volume. High-quality candles on high volume indicate institutional participation. Tells you WHETHER smart money is involved.
When all three align (e.g., more bullish candles + bullish quality + bullish commitment), the signal is significantly more reliable.
How the Calculations Work
Quantity Analysis:
int greenCount = 0
int redCount = 0
for i = 0 to lookbackPeriod - 1
if close > open
greenCount += 1
if close < open
redCount += 1
bool quantityBull = greenCount > redCount
Quality Analysis (body-to-range scoring):
for i = 0 to lookbackPeriod - 1
float candleBody = close - open // Signed (positive = bull)
float candleRange = high - low
float bodyQuality = candleRange > 0 ? (candleBody / candleRange * 100) * candleRange : 0.0
sumBodyQuality += bodyQuality
bool qualityBull = sumBodyQuality > 0
Signal Types
FULL BULL - All three dimensions bullish (Quantity + Quality + Commitment)
FULL BEAR - All three dimensions bearish
LEAN BULL/BEAR - 2 of 3 dimensions agree
MIXED - No clear consensus
STRONG BUY/SELL - Full confluence + ADX confirms trending market
ADX Integration
The indicator includes ADX (Average Directional Index) to filter signals:
- ADX >= 20 = TRENDING market (signals more reliable)
- ADX < 20 = RANGING market (signals may whipsaw)
Strong signals only trigger when full confluence occurs in a trending environment.
Dashboard Information
Quantity - BULL/BEAR/FLAT with green/red candle ratio
Quality - Directional bias based on body quality scoring
Commit - Volume-weighted commitment reading
ADX - Trend strength (TRENDING/RANGING)
Signal - Confluence status (FULL BULL/FULL BEAR/LEAN/MIXED)
Action - STRONG BUY/STRONG SELL/WAIT
How to Use This Indicator
For High-Conviction Entries:
1. Wait for FULL BULL or FULL BEAR confluence
2. Confirm ADX shows TRENDING
3. Enter when Action shows STRONG BUY or STRONG SELL
For Filtering Weak Setups:
1. Avoid entries when signal shows MIXED
2. Be cautious when ADX shows RANGING
3. Require at least 2 of 3 dimensions to agree
For Divergence Analysis:
1. Watch for Quantity bullish but Commitment bearish (distribution)
2. Watch for Quantity bearish but Commitment bullish (accumulation)
Input Parameters
Lookback Period (9) - Bars to analyze for all three dimensions
ADX Smoothing (14) - Period for ADX calculation
ADX DI Length (14) - Period for directional indicators
Timeframe Recommendations
15m-1H: Good for intraday momentum analysis
4H-Daily: Best for swing trading confluence
Lookback period may need adjustment for different timeframes
Limitations
Lookback period affects signal responsiveness vs reliability tradeoff
Volume data quality varies by exchange
ADX filter may cause missed entries in early trends
Works best on liquid instruments with consistent volume
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Confluence signals do not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
CAP - CSI [Auto-MTF]The CAP - CSI is a Digital Signal Processing (DSP) tool based on the principles of Lars von Thienen’s "Dynamic Cycles." While traditional oscillators often fail in trending markets by staying "pinned" at extremes, the CSI uses a recursive dual-thrust processor to isolate the underlying market rhythm, helping traders identify when a cycle is genuinely exhausted.
Core Methodology
This script implements a Cycle Swing Momentum processor. It calculates the difference between short-term and long-term "thrusts" to extract the dominant cycle from price action. Unlike static indicators, it uses Dynamic Percentile Banding to adapt its overbought and oversold levels based on the market's recent "cyclic memory."
Key Features
Pivot Point Detection: Identifies exhaustion when the CSI extends outside its dynamic bands and begins to pivot back toward the mean.
Trend-Aware Coloring: The area fill uses slope-based logic to differentiate between "Rising/Falling" momentum and "Bullish/Bearish" strong zones.
HTF (5x): Built-in logic to define the larger cycle trend. I recommend using a 5x multiplier (e.g., viewing 4H cycles on a 1H chart) to ensure you are trading with the macro flow.
Zero Line Equilibrium: Clear visualization of the cycle's position relative to its center-point to determine the current market regime.
The "Trending" Challenge
A common pitfall with DSP-based cycle tools is that they can generate "phantom" signals during powerful, linear trending conditions. This script is my attempt to solve that by integrating HTF confluence and slope-based filtering. It is specifically optimized for:
Futures: ES, NQ, RTY, and GC.
US Equities: (NVDA, TSLA, etc.).
Additional tip, search for Strong relative strength Symbols, I've created this script : CAP - Mansfield Relative Strength, but there are many there "Mansfield Relative Strength" indicators available.
Why I am sharing this
This is an ongoing project. I am releasing this to the public to connect with other traders interested in Lars von Thienen’s work or John Ehlers’ DSP techniques. My goal is to collaborate with the community to refine the processor further and build a consistent, profitable system that can distinguish between a cycle turn and a trend continuation.
CAP - cRSI cyclic smoothed [MTF]Introduction This indicator is a Multi-Timeframe (MTF) adaptation of the Cyclic Smoothed RSI (cRSI), based on the foundational work of Lars von Thienen and his book "Decoding The Hidden Market Rhythm". It allows traders to visualize cyclic momentum and identify potential turning points by adapting standard RSI calculations to a dominant market cycle.
How It Works Unlike a standard RSI which uses fixed periods, the cRSI uses "cyclic memory" to adjust its sensitivity:
Cyclic Smoothing: It smooths the RSI based on a user-defined Dominant Cycle Length (default: 20 bars).
Dynamic Bands: Instead of static overbought/oversold levels (like 70/30), this script calculates dynamic upper and lower bands that adapt to recent volatility and cyclic distribution.
MTF Capability: You can view the cRSI of a higher timeframe (e.g., Daily) while looking at a lower timeframe chart (e.g., H1) to align your entries with the broader trend.
My Trading Strategy & Context I am sharing this to start a conversation on how to optimize cyclic tools for Equity markets. My current workflow is:
- Timeframe: I analyze Daily candles for the main trend but look for entries on Intraday (H1).
- Confluence: I combine this cRSI with the CSP - CSI (Cyclic Swing Indicator).
- Momentum & Trend: I use Williams %R to read immediate momentum, and check trend direction using EMA9 and SMA30.
- Entries: On the H1 chart, I look for VWAP interactions to trigger the entry once the Daily cRSI confirms the cycle low/high.
Let's Collaborate I am looking for constructive feedback to refine this strategy. Please leave a comment below regarding:
- Settings: Have you found a Dominant Cycle Length other than 20 that works better for Crypto or FX volatility?
- Filtering: What filters do you use to avoid "catching a falling knife" when the bands widen significantly?
- Backtesting: If you have visual backtest results using this with VWAP, please share your findings.
Note: This script is for educational purposes and collaborative research. Please backtest all strategies before live trading.
#Cycles, #RSI, #Momentum, #Lars von Thienen, #MTF
Nexus Momentum Flow [JOAT]
Nexus Momentum Flow - ADX-Based Trend Strength Analysis
Introduction and Purpose
Nexus Momentum Flow is an open-source oscillator indicator that combines the ADX (Average Directional Index) with directional movement indicators (+DI/-DI) to create a comprehensive trend strength and direction analysis tool. The core problem this indicator solves is that ADX alone tells you trend strength but not direction, while +DI/-DI alone tells you direction but not strength. Traders need both pieces of information together.
This indicator addresses that by combining ADX strength classification with directional bias into a single confluence score, making it easy to identify when strong trends exist and which direction they favor.
Why These Components Work Together
1. ADX (Average Directional Index) - Measures trend strength regardless of direction. Values above 25 indicate trending; below 20 indicate ranging.
2. +DI (Positive Directional Indicator) - Measures upward price movement strength.
3. -DI (Negative Directional Indicator) - Measures downward price movement strength.
4. Confluence Score - Combines ADX strength with DI bias to create a single actionable metric.
The combination works because:
ADX filters out ranging markets where DI crossovers produce whipsaws
DI relationship provides direction when ADX confirms trend
Confluence score simplifies the analysis into one number
How the Calculation Works
float directionBias = diPlus - diMinus
float confluenceScore = (adx / 100) * directionBias
The confluence score is positive when +DI > -DI (bullish) and negative when -DI > +DI (bearish), with magnitude scaled by ADX strength.
Trend State Classification
EXTREME - ADX > 50 (very strong trend)
STRONG - ADX 35-50 (strong trend)
TRENDING - ADX 25-35 (moderate trend)
RANGING - ADX < 25 (no clear trend)
Dashboard Information
Status - Current trend state (EXTREME/STRONG/TRENDING/RANGING)
Direction - BULLISH or BEARISH based on DI relationship
ADX - Current ADX value
DI Bias - Difference between +DI and -DI
Confluence - Combined score with directional context
How to Use This Indicator
For Trend Following:
1. Wait for ADX to show TRENDING or higher
2. Check direction matches your trade bias
3. Enter on pullbacks when confluence remains positive/negative
4. Exit when ADX drops to RANGING
For Avoiding Whipsaws:
1. Do not trade DI crossovers when ADX shows RANGING
2. Only trust directional signals when ADX confirms trend
3. Use RANGING periods for mean-reversion strategies instead
For Trend Exhaustion:
1. Watch for EXTREME ADX readings
2. Extreme trends often precede reversals
3. Consider taking profits when ADX reaches extreme levels
Input Parameters
ADX Length (14) - Period for ADX calculation
DI Length (14) - Period for directional indicators
ADX Smoothing (14) - Smoothing period for ADX
Trend Threshold (25) - ADX level for trend confirmation
Strong Threshold (35) - ADX level for strong trend
Extreme Threshold (50) - ADX level for extreme trend
Timeframe Recommendations
Daily/4H: Best for swing trading trend analysis
1H: Good for intraday trend following
15m: More signals but requires faster reaction
Limitations
ADX is a lagging indicator - trends are confirmed after they start
DI crossovers can whipsaw even with ADX filter
Works best in markets that trend clearly
May miss early trend entries due to confirmation requirement
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
CAP - CSICSI is a Digital Signal Processing (DSP) tool based on the principles of Lars von Thienen’s "Dynamic Cycles." Unlike traditional momentum oscillators, the CSI uses a recursive dual-thrust processor to isolate cyclic price action, helping traders identify hidden rhythms in the market rather than just static overbought or oversold levels.
How to Read the Indicator
This script focuses on four primary technical components:
Dynamic Band Pivots: The indicator calculates a "cyclic memory" (default 34 periods) to create high and low bands. When the CSI moves outside these bands and begins to pivot, it signals a potential cycle exhaustion point.
Momentum Slope: The color-coded area fill identifies the direction of the cycle's slope. A change in slope is often the first warning of a cycle peak or trough.
The Zero Line: The zero line acts as the "equilibrium" point. Position relative to zero helps define whether the current cycle is in a bullish or bearish regime.
Multi-Timeframe Analysis (HTF): The script includes an HTF filter (suggested 5x the chart timeframe) to ensure you are trading in the direction of the dominant macro cycle.
Performance & Testing: The "Trending" Challenge
This indicator has been developed and tested primarily on Futures (ES, NQ, RTY) and US Equities.
Important Note on False Signals: While the CSI "nails" turning points during standard cyclic/swing conditions, users should be aware of "phantom" cycles or false signals during strong trending conditions. In a powerful trend, the indicator may signal a cycle peak while price continues to move linearly, leading to premature exhaustion signals. Filtering these "trend-drifts" is the current focus of development.
Community & Collaboration
This script is an ongoing project. I am making it public to find like-minded traders interested in Lars von Thienen’s work to:
Refine the processor logic for better signal-to-noise ratios during impulsive trends.
Discuss the best "Trend Shields" (Volume, HTF, or Volatility filters) to stay in winners longer.
Share specific settings for different asset classes in the Futures and Equity markets.
JRockets MACDThis is my favorite indicator, that I use as one of my conformations before entering a trade in the 15M timeframe This MACD is tailor made by me to work efficient, consistent, and effectively. I back tested tons of times, it helps if you're entering too early, late and even get faked out. The MACD is by far my favorite and one and only indicator, and here's why. The MACD contains 2 EMA lines where it gives me a signal on when to buy or sell. If the Blue line crosses the red line on the bottom of the indicator its giving buy signals as long as the blue line stays on top, and when the red line crosses the blue line on top of the indicator its giving sell signals as long as the redline stay on top. Be sure to pay attention to the candle stick patterns as well and has to be around key levels. What makes this a better signal as well, the MACD has a built-in momentum hologram, some see it as overbought/undersold, or volume indicator. By combining the momentum hologram with your buy/sell ema will prevent you from entering a trade in the wrong area. The momentum hologram is almost self-explanatory, when there is buying pressure, the hologram turns blue, the darker the blue the stronger the momentum as well as the length of the hologram, once is start losing momentum it starts to turn to a lighter blue. Eventually a light red to a solid red showing momentum for a strong sell, this works vice versa. Combing all that at once and built instincts it becomes very effective. You can also use the EMA signals as divergence, but I don't really trade with divergence but could possibly give you conformation. Using the MACD is like having 3-4 indicators in one with all of them working fluent together. I have the MACD locked on the 15M timeframe because that's where it works more accurately. You can make the EMA lines a bit thicker to be easier to see. I would change the MACD visible for the 15M timeframe only or 1M to 1H timeframe. I hope this indicator helps you, as it did for me. You can simply click add on your charts on the top left to get this free indicator. Peace out and enjoy! Be sure to share, this indicator with your friends as it may help someone out.
Eclipse Multi-Oscillator [JOAT]Eclipse Multi-Oscillator - Unified Momentum Confluence System
Introduction and Purpose
Eclipse Multi-Oscillator is an open-source indicator that combines four classic oscillators (RSI, Stochastic, CCI, and Williams %R) into a single unified view with confluence detection. The core problem this indicator solves is oscillator disagreement: traders often see RSI oversold while Stochastic is neutral, or CCI overbought while Williams %R is mid-range. This creates confusion about the true momentum state.
This indicator addresses that by displaying all four oscillators together and counting how many agree on overbought or oversold conditions, providing a clear confluence score that cuts through the noise.
Why These Four Oscillators Work Together
Each oscillator measures momentum differently, and their combination provides a more complete picture:
1. RSI (Relative Strength Index) - Measures the magnitude of recent price changes. Best at identifying momentum exhaustion.
2. Stochastic - Compares closing price to the high-low range. Best at identifying where price is within its recent range.
3. CCI (Commodity Channel Index) - Measures price deviation from statistical mean. Best at identifying unusual price movements.
4. Williams %R - Similar to Stochastic but inverted. Provides confirmation of Stochastic readings.
When 3 or more of these oscillators agree on overbought or oversold, the signal is significantly more reliable than any single oscillator alone.
How Confluence Scoring Works
The indicator counts how many oscillators are in extreme territory:
int obCount = 0
if rsi > rsiOB
obCount += 1
if stochK > stochOB
obCount += 1
if cci > cciOB
obCount += 1
if willRScaled > stochOB
obCount += 1
bool strongOverbought = obCount >= 3
bool strongOversold = osCount >= 3
The confluence score ranges from -4 (all oversold) to +4 (all overbought), with 0 being neutral.
Signal Types
Strong Oversold - 3+ oscillators below oversold threshold (potential bounce)
Strong Overbought - 3+ oscillators above overbought threshold (potential pullback)
OB/OS Exit - RSI leaving extreme zone with Stochastic confirmation (potential reversal)
Divergence - Price makes new high/low while RSI does not (potential reversal warning)
Dashboard Information
RSI/Stoch K/CCI/Will %R - Current values with zone status (OB/OS/MID)
Confluence - Overall bias (STRONG OS, STRONG OB, Lean Bull/Bear, Neutral)
OB Count - How many oscillators are overbought (0-4)
OS Count - How many oscillators are oversold (0-4)
How to Use This Indicator
For Reversal Trading:
1. Wait for Strong Oversold (3+ oscillators agree)
2. Look for bullish candlestick pattern or support level
3. Enter long with stop below recent low
4. Take profit when confluence returns to neutral or overbought
For Trend Confirmation:
1. Check confluence direction matches your trade bias
2. Avoid longs when confluence is strongly overbought
3. Avoid shorts when confluence is strongly oversold
For Divergence Trading:
1. Watch for "D" labels indicating RSI divergence
2. Bullish divergence at support = potential long
3. Bearish divergence at resistance = potential short
Input Parameters
RSI Length (14) - Period for RSI calculation
Stochastic K/D Length (14/3) - Periods for Stochastic
CCI Length (20) - Period for CCI
Williams %R Length (14) - Period for Williams %R
OB/OS Thresholds - Customizable levels for each oscillator
Timeframe Recommendations
15m-1H: Good for intraday momentum analysis
4H-Daily: Best for swing trading confluence
Very short timeframes may produce noisy signals
Limitations
All oscillators can remain in extreme territory during strong trends
Confluence does not predict direction, only identifies extremes
Divergence detection is simplified and may miss some patterns
Works best in ranging or moderately trending markets
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. The source code is fully visible and can be studied.
This indicator does not constitute financial advice. Oscillator confluence does not guarantee reversals. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
ATR Momentum Status v.2ATR Momentum Status Version 2 locked ATR Momentum Status (Bar-Close Confirmed)
In previous versions, the ATR momentum status could change intrabar while the candle was still forming. In v.2, the ATR momentum is calculated only after the candle closed and is locked until the next candle closes.
Why this matters:
Prevents repainting or intrabar flipping
Ensures what you see on the dashboard is fully confirmed
Makes replay mode and backtesting reliable
How Traders Use It:
This tool is best used as a confirmation layer, not a standalone signal. Common use cases:
- Confirming FVG / CE acceptance
- Validating displacement candles
- Filtering trades to only Strong / Expansion conditions
- Avoiding entries during weak or declining volatility
Key Concept:
Price can move without momentum, but momentum confirms intent. With the ATR status locked after candle close, v.2 ensures every ATR reading represents real, confirmed market participation, making it safer for execution-based strategies.
ATR Momentum StatusThis indicator measures whether volatility (ATR) is increasing or decreasing, and classifies momentum strength into four clear states:
- WEAK
- STRONG
- EXPANSION
- DECREASING
It helps traders avoid fake moves and only trade when real participation enters the market, especially when used together with FVG CE Acceptance (SMC).
ATR Momentum States (Very Important)
Status Meaning Market Condition
WEAK Small ATR increase Low participation
STRONG Healthy ATR increase Real buyers/sellers entering
EXPANSION Large ATR spike Aggressive momentum / breakout
DECREASING ATR falling Momentum dying / trap risk
What This Indicator Is NOT
❌ Not a buy/sell signal
❌ Not direction bias
❌ Not entry by itself
👉 It is a trade quality filter
✅ Best Use Case (SMC / FVG Traders)
This indicator shines when combined with:
- FVG
- CE (Consequent Encroachment)
- Liquidity Sweep
- Acceptance Candle
Important Risk Filter (Golden Rule):
ATR Status Trade Quality
EXPANSION + Acceptance ⭐⭐⭐⭐⭐ (Best)
STRONG + Acceptance ⭐⭐⭐⭐
WEAK + Acceptance ❌ Avoid
DECREASING ❌ No Trade
Why This Works (Conceptually):
- FVG CE acceptance = price is accepted
- ATR expansion = participation is real
- Together = institutional momentum, not retail noise
Apex Adaptive TrailApex Adaptive Trail: Adaptive Volatility Trend System
This custom trend-following indicator improves on standard SuperTrend implementations by addressing two key weaknesses: excessive whipsaws during high volatility and false signals in ranging markets.
Core Logic:
- Synthetic Heikin Ashi values are calculated internally (without changing chart candles) to provide smoother source data for trend detection.
- ATR-based trailing stop with adaptive multiplier: dynamically adjusts between 0.8x and 1.5x the base factor based on current volatility (ATR / 50-period SMA of ATR). Widens in volatile conditions, tightens in quiet markets.
- Weighted Confluence Score (0-100%): Combines four independent filters, each contributing 25%:
• Price position relative to 21-period EMA (trend alignment)
• ADX > 20 (momentum strength)
• Choppiness Index < 60 (trending vs ranging detection)
• Alignment with Daily EMA(50) trend direction
Signals are only generated when price crosses the adaptive trail AND the confluence score exceeds 75% (standard) or 90% (MAX 🔥 ultra-strong). This combination significantly reduces low-quality entries compared to traditional SuperTrend crossovers.
Key Features:
- Dynamic confidence cloud (opacity based on score)
- Real-time dashboard showing volatility state, active filters, trend bias, and estimated historical win rate
- Optional dynamic/fixed profit targets
- Fully customizable filters and adaptive behavior
Usage: Best on 15m to 4H timeframes for trend-following strategies (Crypto, Forex, Indices). Enter on APEX signals, use trail as stop-loss, TP lines for partial exits.
This script integrates established concepts into a unique adaptive framework with volatility-responsive risk management and multi-filter validation.
Disclaimer: For educational and analysis purposes only. Past performance is not indicative of future results. Always use proper risk management.
"This script combines established indicators (ATR trailing, ADX, Choppiness Index, EMA, MTF) into a unique adaptive system with dynamic volatility adjustment and weighted confluence scoring – features not found together in standard SuperTrend variations."
Area per IntervalDescription
This indicator shades the area between 2 curves, an SMA and the nearest open/close to the SMA, and their intersections. The black labels with leader lines describe the calculated area of each shaded section, and the total area accumulated per total number of time intervals for that area. The additional value visible in the status line that is not displayed on the chart is, at any bar index (time interval), the current total area of the incomplete shaded area.
Usage
- The default color of the shaded areas denote the type of momentum being built before the cross. Green for bullish, red for bearish.
- The area value of the shaded areas can be used as a capacity indicator, denoting imbalances between the previous and next crosses.
- The area per interval value of the shaded areas can be used as a momentum indicator, denoting which area is carrying more price movement before the price crosses.
- Similar to indicators that use dynamic price differences between OHLC data, moving averages, etc, confluence with other momentum indicators that use different elements creates additional confirmation.
Conclusion
Simple momentum indicator. Comment for possible updates that can be made.
CSA Infinity BridgeCSA Infinity Bridge - Major Update: Full Transparency + Stricter Consensus
Update Notes (December 29, 2025):
- Big improvements based on real-user feedback!
- This version eliminates the confusion that sometimes occurred when the dashboard showed near-unanimous agreement (like 13/14) but one indicator was silently disagreeing.
Key Changes:
- All 14 indicators are now fully visible in the dashboard. Added a dedicated "TTM" column for the standalone TTM Wave (previously hidden). No more guessing which indicator is the holdout—you’ll see every single Bull/Bear vote clearly.
- Stricter consensus thresholds for higher-conviction signals:
- Strong Bullish/Bearish now requires 12+ out of 14 (previously 11+)
- Trending ↑/↓ requires 9+ out of 14 (previously 8+)
- This reduces whipsaws and makes LONG/SHORT signals more reliable, especially for novice traders.
Keeps the popular OBV replacement (volume confirmation instead of basic candle color).
- Perfect for anyone who wants a clean, trustworthy consensus dashboard without hidden surprises. Ideal for futures, stocks, crypto—any market with volume.
- Test it, compare it to the previous version, and let me know what you think!
