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.
中心震盪指標
Photon Price Action Scanner [JOAT]Photon Price Action Scanner - Multi-Pattern Recognition with Adaptive Filtering
Introduction and Purpose
Photon Price Action Scanner is an open-source overlay indicator that automates the detection of 15+ candlestick patterns while filtering them through multiple confirmation layers. The core problem this indicator solves is pattern noise: raw candlestick pattern detection produces too many signals, most of which fail because they lack context. This indicator addresses that by combining pattern recognition with trend alignment, volume-weighted strength scoring, velocity confirmation, and an adaptive neural bias filter.
The combination of these components is not arbitrary. Each filter addresses a specific weakness in standalone pattern detection:
Trend alignment ensures patterns appear in favorable market structure
Volume-weighted strength filters out weak patterns with low conviction
Velocity confirmation identifies momentum behind the pattern
Neural bias filter adapts to recent price behavior to avoid counter-trend signals
What Makes This Indicator Original
While candlestick pattern scanners exist, this indicator's originality comes from:
1. Multi-Layer Filtering System - Patterns must pass through trend, strength, velocity, and neural bias filters before generating signals. This dramatically reduces false positives compared to simple pattern detection.
2. Adaptive Neural Bias Filter - A custom momentum-adjusted EMA that learns from recent price action using a configurable learning rate. This is not a standard moving average but an adaptive filter that accelerates during trends and smooths during consolidation.
3. Pattern Strength Scoring - Each pattern receives a strength score based on volume ratio and body size, allowing traders to focus on high-conviction setups rather than every pattern occurrence.
4. Smart Cooldown System - Prevents signal overlap by enforcing minimum bar spacing between pattern labels, keeping charts clean even when "Show All Patterns" is enabled.
How the Components Work Together
Step 1: Pattern Detection
The indicator scans for 15 candlestick patterns using precise mathematical definitions:
// Example: Bullish Engulfing requires the current bullish candle to completely
// engulf the previous bearish candle with a larger body
isBullishEngulfing() =>
bool pattern = close < open and close > open and
open <= close and close >= open and
close - open > open - close
pattern
// Example: Three White Soldiers requires three consecutive bullish candles
// with each opening within the previous body and closing higher
isThreeWhiteSoldiers() =>
bool pattern = close > open and close > open and close > open and
close < close and close < close and
open > open and open < close and
open > open and open < close
pattern
Step 2: Strength Calculation
Each detected pattern receives a strength score combining volume and body size:
float volRatio = avgVolume > 0 ? volume / avgVolume : 1.0
float bodySize = math.abs(close - open) / close
float baseStrength = (volRatio + bodySize * 100) / 2
This ensures patterns with above-average volume and large bodies score higher than weak patterns on low volume.
Step 3: Trend Alignment
Patterns are checked against the trend direction using an EMA:
float trendEMA = ta.ema(close, i_trendPeriod)
int trendDir = close > trendEMA ? 1 : close < trendEMA ? -1 : 0
Bullish patterns in uptrends and bearish patterns in downtrends receive priority.
Step 4: Neural Bias Filter
The adaptive filter uses a momentum-adjusted EMA that responds to price changes:
neuralEMA(series float src, simple int period, simple float lr) =>
var float neuralValue = na
var float momentum = 0.0
if na(neuralValue)
neuralValue := src
float error = src - neuralValue
float adjustment = error * lr
momentum := momentum * 0.9 + adjustment * 0.1
neuralValue := neuralValue + adjustment + momentum
neuralValue
The learning rate (lr) controls how quickly the filter adapts. Higher values make it more responsive; lower values make it smoother.
Step 5: Velocity Confirmation
Price velocity (rate of change) must exceed the average velocity for strong signals:
float velocity = ta.roc(close, i_trendPeriod)
float avgVelocity = ta.sma(velocity, i_trendPeriod)
bool velocityBull = velocity > avgVelocity * 1.5
Step 6: Signal Classification
Signals are classified based on how many filters they pass:
Strong Pattern : Pattern + strength threshold + trend alignment + neural bias + velocity
Ultra Pattern : Strong pattern + gap in same direction + velocity confirmation
Watch Pattern : Pattern detected but not all filters passed
Detected Patterns
Classic Reversal Patterns:
Bullish/Bearish Engulfing - Complete body engulfment with larger body
Hammer - Long lower wick (2x body), small upper wick, bullish context
Shooting Star - Long upper wick (2x body), small lower wick, bearish context
Morning Star - Three-bar bullish reversal with small middle body
Evening Star - Three-bar bearish reversal with small middle body
Piercing Line - Bullish candle closing above midpoint of previous bearish candle
Dark Cloud Cover - Bearish candle closing below midpoint of previous bullish candle
Bullish/Bearish Harami - Small body contained within previous larger body
Doji - Body less than 10% of total range (indecision)
Advanced Patterns (Optional):
Three White Soldiers - Three consecutive bullish candles with rising closes
Three Black Crows - Three consecutive bearish candles with falling closes
Tweezer Top - Equal highs with reversal candle structure
Tweezer Bottom - Equal lows with reversal candle structure
Island Reversal - Gap isolation creating reversal structure
Dashboard Information
The dashboard displays real-time analysis:
Pattern - Current detected pattern name or "SCANNING..."
Bull/Bear Strength - Volume-weighted strength scores
Trend - UPTREND, DOWNTREND, or SIDEWAYS based on EMA
RSI - 14-period RSI for momentum context
Momentum - 10-period momentum reading
Volatility - ATR as percentage of price
Neural Bias - BULLISH, BEARISH, or NEUTRAL from adaptive filter
Action - ULTRA BUY/SELL, BUY/SELL, WATCH BUY/SELL, or WAIT
Visual Elements
Pattern Labels - Abbreviated codes (BE=Engulfing, H=Hammer, MS=Morning Star, etc.)
Neural Bias Line - Adaptive trend line showing filter direction
Gap Boxes - Cyan boxes highlighting price gaps
Action Zones - Dashed boxes around strong pattern areas
Velocity Markers - Small circles when velocity confirms direction
Ultra Signals - Large labels for highest conviction setups
How to Use This Indicator
For Reversal Trading:
1. Wait for a pattern to appear at a key support/resistance level
2. Check that the Action shows "BUY" or "SELL" (not just "WATCH")
3. Confirm the Neural Bias aligns with your trade direction
4. Use the strength score to gauge conviction (higher is better)
For Trend Continuation:
1. Identify the trend using the Trend row in the dashboard
2. Look for patterns that align with the trend (bullish patterns in uptrends)
3. Ultra signals indicate the strongest continuation setups
For Filtering Noise:
1. Keep "Show All Patterns" disabled to see only filtered signals
2. Increase "Pattern Strength Filter" to see fewer, higher-quality patterns
3. Enable "Velocity Confirmation" to require momentum behind patterns
Input Parameters
Scan Sensitivity (1.0) - Overall detection sensitivity multiplier
Pattern Strength Filter (3) - Minimum strength score for strong signals
Trend Period (20) - EMA period for trend determination
Show All Patterns (false) - Display all patterns regardless of filters
Advanced Patterns (true) - Enable soldiers/crows/tweezer detection
Gap Analysis (true) - Enable gap detection and boxes
Velocity Confirmation (true) - Require velocity for strong signals
Neural Bias Filter (true) - Enable adaptive trend filter
Neural Period (50) - Lookback for neural bias calculation
Neural Learning Rate (0.12) - Adaptation speed (0.01-0.5)
Timeframe Recommendations
1H-4H: Best balance of signal frequency and reliability
Daily: Fewer but more significant patterns
15m-30m: More signals, requires tighter filtering (increase strength threshold)
Limitations
Pattern detection is mechanical and does not consider fundamental context
Neural bias filter may lag during rapid trend reversals
Gap detection requires clean price data without after-hours gaps
Strength scoring favors high-volume patterns, which may miss valid low-volume setups
- Made with passion by officialjackofalltrades
RSI Apex: Breakout & DivergenceRSI Apex: Breakout & Divergence System
RSI Apex：突破与背离交易系统
🇬🇧 English Description
RSI Apex is a comprehensive trading system designed to capture both Trend Breakouts and Market Reversals. Unlike traditional RSI indicators that rely solely on fixed levels (70/30), RSI Apex integrates Donchian Channels, Volatility Squeeze, and the Libertus Divergence Algorithm to provide high-probability signals.
🚀 Key Features
Trend Push System (Donchian Breakout):
Detects when RSI momentum is strong enough to push the upper/lower Donchian Channel bands.
Signal: Displays ▲ (Bull) or ▼ (Bear) at levels 20/80.
Libertus Divergence (No-Lag):
Uses a real-time pivot tracking algorithm to identify divergences between Price and RSI without the lag of traditional pivot points.
Signal: Displays "Div" labels at levels 30/70.
Smart Coloring (Extreme Highlight):
Green/Red: Normal Trend.
White (Extreme): When RSI breaches 70 (Overbought) or 30 (Oversold), the line turns bright White. This highlights the most volatile zones where reversals or strong continuations occur.
Volatility Squeeze Filter:
Monitors market volatility. When the Donchian Channel compresses significantly (below historical average), the background turns Purple.
Meaning: "Calm before the storm"—expect a major move soon.
🛠 How to Use
Trend Following: Enter when you see Green/Red RSI lines accompanied by ▲ / ▼ signals. This indicates a "Trend Push."
Reversal Trading: Look for "Div" signals when the RSI line is White (Extreme). This suggests momentum is fading despite price action.
Exit/Take Profit: Watch for the "Weak" label, which appears when RSI falls back into the neutral zone.
Dashboard: Monitor real-time RSI Value, Market State (Bullish/Bearish/Extreme), and Volatility (Squeeze/Expanding) in the bottom-right table.
🇨🇳 中文简介
RSI Apex 是一套旨在捕捉趋势爆发 (Breakout) 和 市场反转 (Reversal) 的综合交易系统。与仅依赖固定 70/30 线的传统 RSI 不同，本指标融合了 唐奇安通道 (Donchian Channels)、波动率挤压 (Squeeze) 以及 Libertus 无滞后背离算法，以提供高胜率的交易信号。
🚀 核心功能
强趋势推动系统 (唐奇安突破):
检测 RSI 动能是否强劲到足以推动唐奇安通道的上轨或下轨扩张。
信号: 在 20/80 轴位置显示 ▲ (多头推动) 或 ▼ (空头推动)。
Libertus 智能背离 (无滞后):
采用实时 Pivot 追踪算法，精准识别价格与 RSI 之间的背离，解决了传统背离指标的滞后问题。
信号: 在 30/70 轴位置显示 "Div" 标签。
智能变色 (极端行情高亮):
绿色/红色: 正常趋势状态。
白色 (White): 极端区域。当 RSI 突破 70 (超买) 或跌破 30 (超卖) 时，线条会强制变为醒目的亮白色，提示此处为变盘/背离高发区。
波动率挤压 (Squeeze) 过滤器:
实时监控市场波动率。当通道宽度显著收窄（低于历史平均水平）时，背景会填充为半透明紫色。
含义: “暴风雨前的宁静”——预示着大行情即将爆发，此时应空仓等待突破方向。
🛠 使用策略
顺势交易 (Trend): 当 RSI 呈现 绿色/红色 并伴随 ▲ / ▼ 信号时进场。这代表动能极强，处于主升/主跌浪。
左侧反转 (Reversal): 重点关注 RSI 线条变为 白色 (Extreme) 时出现的 "Div" 背离信号。这通常意味着价格虽创新高，但动能已耗尽。
止盈/离场: 留意 "Weak" (衰竭) 标签，它出现在 RSI 掉回中间震荡区时。
仪表盘: 右下角面板实时显示 RSI 数值、市场状态 (极值/背离/趋势) 以及波动率状态 (挤压/扩张)。
Hyper-Spectral Neural Flow [Pineify]Hyper-Spectral Neural Flow - Advanced Gaussian Kernel Trend Detection with Spectral Volatility Bands
Transform your chart analysis with a cutting-edge indicator that combines machine learning-inspired smoothing algorithms with stunning visual feedback systems for precise trend identification and market momentum visualization.
Overview
The Hyper-Spectral Neural Flow is a sophisticated technical analysis tool that implements Gaussian Kernel Regression smoothing to estimate the underlying price trend with minimal lag while providing dynamic volatility-based visual feedback through its signature "spectral aura" display. Unlike conventional moving averages or simple trend indicators, this tool adapts its smoothing characteristics based on localized price behavior, creating a neural-inspired pathway that represents the market's true trend direction.
The indicator's core calculation utilizes a 50-bar Gaussian window with customizable bandwidth parameters, allowing traders to balance between responsiveness and smoothness according to their trading style. Surrounding this core trend line are multi-layered spectral bands that expand and contract based on market volatility, measured through a combination of Mean Absolute Error (MAE) and user-defined multipliers.
Key Features
Gaussian Kernel Neural Core - A proprietary smoothing algorithm that calculates localized weighted averages using Gaussian distribution weights, providing superior noise reduction compared to traditional moving averages
Multi-Layered Spectral Aura - Four distinct volatility bands (inner/upper and inner/lower) that create a dynamic visual representation of market volatility and trend strength
Adaptive Gradient Fills - Color-gradient transparency that adjusts based on price position relative to the neural core, creating an energy field effect that visually communicates market momentum
Trend Pulse Markers - Automatic circular markers that appear precisely when the neural flow shifts direction, providing clear entry/exit signals
Dynamic Bar Coloring - Price bars that change color and transparency based on trend direction, enhancing visual pattern recognition
Real-Time Trend Calculation - Optimized 50-bar rolling window ensures responsive performance without excessive computational load
Customizable Alert System - Built-in alert conditions for neural flow direction changes
How It Works
The indicator's calculation engine operates on three distinct levels working in harmony:
Neural Core Calculation - For each bar, the algorithm computes a weighted average of the previous 50 bars using Gaussian kernel functions. The weight assigned to each historical bar follows a bell curve distribution, where more recent bars receive exponentially higher weights. The mathematical formula is: weight = exp(-(distance²) / (2 × bandwidth²)) , where the bandwidth parameter (default: 8.0) controls the smoothness sensitivity.
Volatility Band Derivation - The spectral bands are calculated using the Mean Absolute Error (MAE) between price and the neural core, smoothed over 50 periods and multiplied by a user-defined spectral range multiplier (default: 3.0). This creates four bands: outer upper (+1.0× MAE), inner upper (+0.5× MAE), inner lower (-0.5× MAE), and outer lower (-1.0× MAE).
Trend Direction Logic - The system determines trend direction by comparing the current neural core value to the previous bar's value. When the core rises, the bullish flow color activates; when it declines, the bearish flow color engages.
Trading Ideas and Insights
Trend Following - Use the neural core as your primary trend reference. When price is above the core with the bullish flow color active, look for long entry opportunities on pullbacks to the inner lower spectral band
Trend Reversal Detection - Watch for the trend pulse markers combined with price crossing the neural core. A bullish pulse appearing after a bearish phase, especially near the outer lower band, often signals a trend reversal
Volatility Contraction Plays - When the spectral bands narrow significantly (indicating low volatility), prepare for potential breakout trades as volatility expansion often follows consolidation periods
Support/Resistance Zones - The inner and outer spectral bands often act as dynamic support and resistance levels. Price rejection from these bands, combined with trend pulse markers, provides high-probability trade setups
Momentum Assessment - Strong trends show the spectral bands expanding in the direction of the move while maintaining consistent separation. Converging bands suggest momentum weakening
How Multiple Indicators Work Together
The true power of Hyper-Spectral Neural Flow lies in the synergistic integration of its components:
The Gaussian Kernel Core provides the foundational trend direction, eliminating noise while preserving genuine price movements
The Spectral Bands add context by showing volatility-adjusted price boundaries, preventing premature entries during low-volatility conditions
The Gradient Fill System offers immediate visual feedback about trend strength—wider, more opaque bands indicate stronger trends, while narrow, transparent bands suggest weakness
The Trend Pulse Markers serve as confirmation signals, ensuring traders don't act on minor core fluctuations but only on meaningful directional changes
This multi-component approach means each element validates the others: a trend pulse marker appearing while price is at an outer band and the spectral aura is expanding provides three independent confirmations of a significant trading opportunity .
Unique Aspects
Machine Learning Foundation - Unlike most TradingView indicators based on standard technical analysis formulas, this implements concepts from Gaussian Process Regression, a technique used in advanced machine learning applications
Visual Hierarchy - The layered design (core line → inner bands → outer bands) creates a natural visual priority system that guides the eye from the most important element (trend direction) to secondary context (volatility levels)
Adaptive Smoothing - The Gaussian bandwidth parameter allows traders to morph the indicator between a short-term scalping tool (lower values) and a long-term trend following system (higher values) without changing the underlying algorithm
Neuro-Aesthetic Design - The visual language mimics neural network imagery and spectrographic displays, making complex data intuitively understandable through association with familiar scientific visualization
How to Use
Add the indicator to your chart from the indicators library and overlay it on your price data
Begin with default settings (Neural Bandwidth: 8.0, Spectral Range: 3.0) to observe the indicator's behavior on your timeframe
For trend following: Only take long trades when the neural core is rising and showing the bullish flow color; only take short trades when the core is declining with bearish flow color
For entry timing: Use the inner spectral bands as pullback entry zones during strong trends—the inner lower band for longs, the inner upper band for shorts
For stop placement: Consider placing stops just beyond the outer spectral band opposite your trade direction
For trend confirmation: Wait for trend pulse markers to appear before entering positions, especially when trading counter-trend reversals
For exit signals: Consider partial profits when price reaches the outer band in the direction of your trade, or when a trend pulse marker signals a potential direction change
Customization
Neural Bandwidth (1.0 to 20.0) - Increase for smoother, slower signals suitable for swing trading (try 12.0-15.0 on daily charts); decrease for more responsive signals for scalping or day trading (try 3.0-5.0 on intraday timeframes)
Spectral Range (0.5 to 10.0) - Higher values widen the volatility bands, resulting in fewer signals but potentially larger winning trades; lower values create tighter bands for more frequent signals but increased false signals during volatility spikes
Bullish/Bearish Flow Colors - Customize to match your chart aesthetic or preference; consider using colors that contrast well with your background for optimal visibility
Aura Opacity (0 to 100) - Adjust to control the prominence of the spectral gradient fills; lower values make the chart less cluttered, higher values emphasize the volatility expansion/contraction cycles
Trend Pulse Marks - Disable if you prefer a cleaner visual and plan to rely solely on core direction and band relationships for signals
Conclusion
The Hyper-Spectral Neural Flow represents a paradigm shift in trend indicator design, bridging the gap between rigorous statistical methodology and intuitive visual communication. By implementing Gaussian kernel regression—typically found in advanced machine learning applications—within an accessible TradingView indicator, it offers traders a professional-grade trend detection tool that doesn't sacrifice usability for sophistication.
Whether you're a systematic trader who relies on objective, rule-based signals, a discretionary trader who values contextual market information, or a quantitative analyst seeking robust trend estimation, this indicator provides the flexibility to adapt to your methodology while maintaining mathematical rigor in its core calculations.
The integration of volatility-based spectral bands with the neural core creates a complete trading framework in a single indicator: trend identification, volatility assessment, entry timing guidance, and trend change signals—all unified through a cohesive visual language that makes complex data immediately actionable. By understanding how the Gaussian smoothing adapts to market conditions and how the spectral bands breathe with volatility, traders gain deeper insight into market structure beyond simple price movement.
Add the Hyper-Spectral Neural Flow to your chart analysis toolkit and experience the difference that machine learning-inspired indicators can make in your trading decisions.
WaveTrend MACD Fusion Oscillator [MatrixQuantLabs]WaveTrend MACD Fusion Oscillator is a composite momentum oscillator that combines WaveTrend trend structure with MACD momentum analysis in a unified panel.
It is designed to help traders better align trend strength, wave timing, and signal confirmation through normalization, filtering, and divergence analysis.
Core Concept
Instead of using the original WaveTrend histogram structure, this indicator adopts the standard MACD histogram as its momentum foundation.
This design choice allows for clearer and more reliable differentiation of trend strength, while maintaining consistency across different symbols and timeframes through normalization.
WaveTrend is then applied as a wave timing and signal layer, making the overall structure easier to interpret and more robust in varying market conditions.
Key Features
Normalized MACD for Cross-Market Consistency
• The indicator uses standard MACD parameters (12/26/9) and applies normalization to scale values into a consistent range.
• This helps avoid chart distortion across different symbols and timeframes.
• An optional “Hide Weekly+” mode is provided to prevent higher-timeframe MACD values from compressing the panel scale.
MACD Histogram with Optional MACD Lines
• The MACD histogram visually represents bullish and bearish momentum, with dynamic coloring to reflect momentum expansion or contraction.
• MACD and Signal lines can be optionally displayed when deeper analysis is required.
Divergence Detection (Regular & Hidden)
Built-in divergence detection supports both MACD lines and histogram-based divergences, with selectable modes:
• Regular Divergence for potential reversals
• Hidden Divergence for trend continuation
Pivot-based confirmation and range filters help reduce noise and false signals.
WaveTrend Oscillator with Cross Strength Classification
• The WaveTrend module consists of a main trend line and a signal line, highlighting wave structure and momentum shifts.
• Golden crosses and death crosses are classified into multiple strength levels, allowing users to distinguish minor signals from more significant ones.
• The closer a counter-directional cross occurs to the overbought or oversold zones, the stronger the potential reversal signal.
• Optional Laguerre smoothing can be enabled to reduce noise and improve signal stability.
MACD-Based Signal Filtering
WaveTrend cross signals can be filtered using MACD conditions:
• Histogram Filter: Bullish crosses only when the MACD histogram is bullish, bearish crosses only when bearish
• Zero-Line Filter: Bullish crosses only above the MACD zero line, bearish crosses only below
These filters help align wave signals with the broader momentum context and reduce counter-trend noise.
Parameter Notes
Normalization Period
• Adjust this value if the indicator appears compressed or if different symbols show inconsistent scaling.
Pivot Right
• Higher values provide stronger confirmation with more delay; lower values are more sensitive and respond faster.
Laguerre Smoothing (Gamma)
• Lower values offer stronger smoothing and stability; higher values provide faster but noisier responses.
Usage Notes
• Use WaveTrend crosses to identify wave timing and momentum shifts.
• Use MACD (histogram and zero line) to assess trend direction and momentum strength.
• Divergence signals should be treated as early warnings, not standalone trade triggers.
• Best results are achieved when combined with trend analysis, price structure, or higher-timeframe context.
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.
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
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.
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
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
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.
Momentum Clarity Engine📘 Description - Momentum Clarity Engine
Momentum Clarity Engine (MC-Engine) is a visual momentum-context indicator designed to help traders clearly identify trend direction, momentum strength, and low-quality market conditions using a disciplined combination of MACD and RSI.
Rather than generating buy or sell signals, MC-Engine focuses on clarity and risk control by visually classifying price action into intuitive momentum states and highlighting periods where trading conditions are unfavorable.
🔍 How it works
The indicator combines:
MACD Histogram → momentum direction and strength
RSI → bullish vs bearish pressure balance
Based on this confluence, price candles are colored to reflect market state:
Strong Bullish Momentum → Dark Green (solid)
Weak Bullish Momentum → Light Green (transparent)
Strong Bearish Momentum → Dark Red (solid)
Weak Bearish Momentum → Light Red (transparent)
No-Trade Zone → Muted Orange (high transparency)
Candle opacity dynamically adapts to MACD histogram strength, allowing traders to visually sense when momentum is expanding, weakening, or lacking conviction.
🟠 No-Trade Zone (Key Feature)
The No-Trade zone highlights periods of:
Low momentum
RSI balance / indecision
Choppy or transitional price action
These conditions often result in poor risk-reward.
The muted orange color is intentionally designed to encourage patience and discipline.
✅ How to use MC-Engine
MC-Engine is best used as a trade filter and context tool, not as a standalone strategy.
Common use cases:
Confirming trend strength before entries
Avoiding trades during low-momentum chop
Filtering breakouts and pullbacks
Intraday trading on 1-minute to 15-minute charts
Futures, indices, equities, and crypto markets
Recommended to pair with:
Market structure
Trendlines
VWAP
Support & resistance
Higher-timeframe context
⚠️ Important Notes
This indicator does not provide buy or sell signals
No repainting or future-looking logic
Designed for educational and analytical purposes only
Always apply proper risk management
🧠 Philosophy
The goal is not to trade more —
the goal is to trade when conditions are clear.
Momentum Clarity Engine helps traders participate during strong momentum and stand aside during uncertainty.
AIO Oscillator SuiteOverview
The AIO Oscillator Suite is a comprehensive, all-in-one technical analysis tool designed to declutter your chart and streamline your workflow. Instead of constantly adding, removing, and re-configuring different oscillators, this script allows you to switch between 30+ of the most popular and effective momentum, trend, and volatility indicators from a single dropdown menu.
Whether you are a trend follower, a mean-reversion trader, or a volatility analyst, this suite provides instant access to the tools you need without consuming multiple indicator slots on your chart.
Features & Included Indicators
This suite includes a vast array of oscillators, meticulously coded to match standard calculations. You can instantly toggle between:
Momentum & Trend : RSI, Stochastic, Stoch RSI, MACD, PPO, TSI, Williams %R, Momentum (ROC), Ultimate Oscillator, CMO, Connors RSI.
Volatility : ATR, Bollinger %b, Choppiness Index.
Volume-Based : Money Flow Index (MFI), Chaikin Money Flow (CMF), Chaikin Oscillator, Force Index, Ease of Movement (EOM), OBV Oscillator, ADX/DMI.
Advanced/Specialized : TRIX, KST, Aroon, Fisher Transform, Cyber Cycle, Vortex, Balance of Power (BOP), Relative Vigor Index (RVI), Detrended Price Oscillator (DPO).
How It Works
Dynamic Plotting: The script intelligently adjusts the plotting style based on your selection. It automatically renders upper/lower bands (e.g., 70/30 for RSI), midlines (0 lines for MACD), histograms, or signal lines depending on the specific requirements of the chosen indicator.
Clean Interface: To keep your chart pristine, all input parameters (lengths, sources, smoothing factors) are hidden from the status line. You only see the current value of the indicator, ensuring a distraction-free analysis environment.
Customization: Every indicator retains its full set of customizable settings. You can tweak lengths, smoothing types (RMA, SMA, EMA, WMA), and sources within the settings menu.
Level Overrides: By default, the script uses standard levels for each indicator (e.g., 70/30 for RSI, 100/-100 for CCI). However, you can enable the "Override Default Levels" option in the settings to manually define your own Upper, Lower, and Midline values for any indicator.
How to Use
Add the indicator to your chart.
Open the Settings menu.
Under the "Main Settings" group, use the dropdown menu to select your desired indicator (default is RSI).
Adjust the specific parameters for that indicator in the sections below if necessary.
(Optional) To set custom overbought/oversold levels, check the "Override Default Levels?" box and enter your preferred values.
Benefits for Traders
Efficiency: Save time by not having to search for and load different scripts for every analysis technique.
Space Saving: TradingView limits the number of indicators per chart based on your plan. This script counts as only one indicator but functions as thirty.
Comparative Analysis: Quickly cycle through different oscillators to confirm signals. For example, if you see a divergence on RSI, you can instantly check if the same divergence exists on the Stochastic or TSI without leaving the screen.
Disclaimer
This tool is for informational and educational purposes only. It does not constitute financial advice or a recommendation to trade. Technical indicators should be used as part of a comprehensive trading strategy. Past performance is not indicative of future results. Always practice proper risk management.
Open Source
The code is published as open-source to allow the community to verify calculations, learn from the logic, and customize it further if needed.
KP MANUAL TRADE SETUPTHIS IS USED FOR MANUAL ENTRY OR EXIT
Comprehensive Disclaimer and User Responsibility Statement for Indicators and Algorithmic Trading Tools
Let see ALGO
autoID TradeID stocksymbol OrderType signalprice currentprice total_profit total_change stratergy AlertName AlertTime
1 28914 BTCUSDT.P BUYTARGETHIT 91417.9 0 -91417.9 -100 KP_OPTION_ROCK KP_OPTION_ROCK 12:28.5
2 28913 BTCUSDT.P BUY 91382.7 0 -91382.7 -100 KP_OPTION_ROCK KP_OPTION_ROCK 11:33.5
We are an independent indicator and algorithm (algo) development service provider, engaged solely in the technical development of trading tools based on specific requirements received from users. Our role is strictly limited to designing, coding, and delivering custom-built indicators, scripts, scanners, or algorithmic tools as per user-defined inputs. We do not act as financial advisors, investment advisors, portfolio managers, or trading mentors in any capacity.
It is extremely important for every user to clearly understand the scope, limitations, responsibilities, and risks associated with the use of any indicator, algorithm, or trading-related tool developed or shared by us.
1. No Investment Advice or Recommendations
We do not recommend, suggest, endorse, or advise the use of any indicator, strategy, or algorithm developed by us for live trading purposes. Any tool created by us is purely technical in nature and must not be interpreted as financial, investment, or trading advice.
We strongly advise all users to consult a SEBI-registered investment advisor (RIA) or a SEBI-registered research analyst (RA) before making any trading or investment decisions. Our services do not replace professional financial guidance.
2. Tools Are Developed Based on User Requirements Only
All indicators and algorithms are developed strictly based on requirements received from users, which may include:
Specific entry or exit logic
Custom conditions
Indicator combinations
Risk management formulas
Automation logic
Visual plotting requirements
These requirements are subjective and vary from user to user. A tool developed for one user is tailored to their personal assumptions, preferences, and expectations. As such, the same tool may not be suitable or effective for another user.
We do not evaluate whether a particular logic is profitable, safe, or appropriate for any individual.
3. No Guarantee of Profit or Performance
There is no guarantee of profit, accuracy, consistency, or success when using any indicator or algorithm developed by us. Financial markets are uncertain, volatile, and influenced by numerous unpredictable factors including but not limited to:
Market sentiment
Economic events
News and announcements
Liquidity conditions
Broker execution quality
Slippage and latency
Past performance of any indicator or algorithm does not guarantee future results. Any perceived success in backtesting or paper trading does not ensure similar results in live market conditions.
4. Trading Involves High Risk
Trading and investing in financial markets involves substantial risk, including the potential loss of partial or entire capital. Users must clearly understand that:
Losses can exceed expectations
Capital erosion can occur rapidly
Emotional and psychological stress is common
Overtrading and mismanagement can amplify losses
Users are solely responsible for assessing whether trading aligns with their financial situation, risk tolerance, and personal circumstances.
5. Differences in Capital Size and Risk Capacity
Every trader has a different capital size, which significantly impacts trading outcomes. A strategy that may appear effective for a large capital account may fail for a smaller account due to:
Margin requirements
Lot size constraints
Brokerage costs
Risk exposure
Similarly, risk-reward capacity differs for each individual. Some users can tolerate drawdowns, while others cannot. A one-size-fits-all approach does not exist in trading.
6. Psychological and Mental Health Factors
Trading is not only a technical activity but also a psychological challenge. Factors such as:
Emotional discipline
Fear and greed
Stress management
Mental health
Decision-making under pressure
play a critical role in trading outcomes. We do not assess or account for a user’s psychological readiness or mental health condition. Any tool shared by us may not align with a user’s emotional or mental capacity to handle market fluctuations.
7. Trading Profile and Experience Level
Each user has a unique trading profile, which may include:
Beginner, intermediate, or advanced experience
Intraday, swing, positional, or long-term trading
Manual or automated execution
Asset preference (equity, options, futures, commodities, forex)
A tool developed for a specific trading profile may not work effectively for another profile. Users are fully responsible for determining whether a tool suits their experience level and trading style.
8. No Responsibility for Profit, Loss, or Damages
We shall not be held responsible or liable for any of the following:
Financial losses or missed profits
Incorrect signals or logic behavior
Broker-related issues
API failures or platform downtime
Market gaps or extreme volatility
Emotional distress or decision errors
The use of any indicator or algorithm is entirely at the user’s own risk.
9. Testing and Validation Are User’s Responsibility
Before using any tool in a live trading environment, users must:
Conduct proper backtesting
Perform forward testing or paper trading
Validate results under multiple market conditions
Understand all logic and limitations
We do not guarantee that a tool has been tested across all scenarios unless explicitly agreed upon in writing.
10. No SEBI Registration or Advisory Role
We are not registered with SEBI as an investment advisor, research analyst, or portfolio manager. Our services are limited to technical development only. Any interpretation of our work as advisory services is incorrect and unauthorized.
11. Market Conditions Can Change
Market behavior is dynamic. A logic that works in one market phase (trending, sideways, volatile) may completely fail in another. Indicators and algorithms are not adaptive unless specifically designed to be so.
Users must continuously monitor and evaluate performance.
12. Automation Does Not Eliminate Risk
Automated trading or algorithmic execution does not eliminate risk. In fact, automation can increase risk if:
Logic errors exist
Market conditions change abruptly
Execution happens faster than human intervention
Users must supervise automated systems at all times.
13. Acceptance of Terms
By using, accessing, or implementing any indicator or algorithm developed or shared by us, the user explicitly agrees that:
They understand all risks involved
They take full responsibility for all outcomes
They will not hold us liable for any loss or damage
They will seek advice from a SEBI-registered advisor when needed
14. Final Statement
We provide tools, not advice.
We develop code, not confidence.
We share technology, not guarantees.
Trading success depends on multiple personal and external factors including capital, psychology, discipline, experience, and market conditions. Since these factors differ from person to person, the same indicator or algorithm will not work for everyone.
Users must make informed decisions responsibly and ethically.
Zabbo Confluence Strategy (Unified Flip, Intrabar)Description
This script combines the power of multiple proven swing trend indicators into a single, unified confluence system. A trade signal is generated when the specified number of indicators align in the same bullish or bearish direction, helping traders identify high-probability long or short opportunities.
The script includes an on-chart dashboard that displays the current status of each individual indicator, along with the overall confluence score, allowing you to visually track trend alignment as market conditions evolve.
Included Indicators:
Xtreme Trend – View Script
MACD (12-26-9) – View Script
MACD (144-34-9) Histogram – View Script
WaveTrend Oscillator – View Script
QQE MT4 (Glaz-Modified by JustUncleL) – View Script
Signal Conditions:
A BUY signal is triggered when:
Xtreme Trend is Bullish
MACD (12-26-9) shows a bullish cross
MACD (144-34-9) histogram is increasing
WaveTrend Oscillator is bullish
QQE MT4 line crosses above its signal
A SELL signal is triggered when:
Xtreme Trend is Bearish
MACD (12-26-9) shows a bearish cross
MACD (144-34-9) histogram is decreasing
WaveTrend Oscillator is bearish
QQE MT4 line crosses below its signal
Users can enable or disable individual indicators in the settings and adjust the confluence threshold (from 1 to 5) to suit their trading style. They also have the ability to toggle off the Xtrend indicator, the 200 EMA, and the confluence dashboard.
Best Use
Performs best on higher timeframes such as 1H, 4H, and Daily.
Lower timeframes (<1H) and choppy, sideways markets may produce frequent signals with smaller spreads.
Increasing the confluence requirement reduces the number of signals, but increases the reliability of potential market tops and bottoms.
Key Features
Five popular trend/trading indicators in one script
Adjustable confluence threshold (1–5)
On-chart dashboard for quick signal confirmation
Customizable indicator inclusion/exclusion
Works across any market (forex, crypto, stocks, commodities)
AMS Adaptive MACDAMS Adaptive MACD
A regime-aware MACD built to show when momentum matters and when it doesn’t.
Most MACDs react the same way in every environment. AMS Adaptive MACD does not.
It dynamically adjusts itself to market conditions so momentum expansions stand out clearly, while chop, compression, and late-stage fades are intentionally muted.
This indicator is designed for traders who want cleaner momentum context, not constant crossover noise.
What it shows (at a glance)
Adaptive MACD lines that automatically adjust to current market conditions
A non-repainting momentum state:
BULL / BEAR PUSH – momentum is pressing
BULL / BEAR FADE – momentum is cooling
NEUTRAL / COIL – compression / low-quality conditions
Optional Trader HUD that summarizes the recent regime in plain language:
Market control (Bull / Bear / Range / Transition)
Dominance strength over a lookback window
Tape quality (Clean vs Choppy)
Volatility regime (Compressed / Normal / Elevated)
A simple context cue (not trade signals)
How traders typically use it
Filter out neutral or choppy conditions
Focus only on higher-quality momentum pushes
Stay aligned with the dominant regime instead of reacting to every wiggle
Add structure and patience to discretionary decision-making
This tool is contextual, not predictive. It helps frame what phase the market is in, not where to click buy or sell.
Technical overview (high-level)
AMS Adaptive MACD uses dynamic fast, slow, and signal lengths that respond to market regime rather than remaining fixed.
Without exposing proprietary logic, the engine accounts for:
Broader trend persistence and volatility conditions
Current timeframe efficiency (trend vs chop)
Stability controls to prevent over-reaction or parameter thrashing
All higher-timeframe inputs are handled in a non-repainting manner, and state labeling is locked on confirmed bars.
Important notes
This is an analytical and educational tool, not financial advice - A standalone educational engine inspired by the same design philosophy as the Atmos Suite.
No entries, exits, or alerts are generated by default
Best used as a context filter alongside price, structure, and risk management
AMS Adaptive MACD is built for traders who care less about more signals and more about better conditions.
Squeeze Momentum Deluxe ProSqueeze Momentum Deluxe Pro
Custom TradingView Indicator | Pine Script v5
Overview
The Squeeze Momentum Deluxe Pro is a powerful hybrid indicator combining the classic LazyBear Squeeze Momentum with the precise TTM Squeeze Pro (John Carter's original). It identifies periods of low volatility ("squeezes") where the market is consolidating and building energy, followed by explosive volatility expansions and strong directional moves.
TTM Squeeze Pro dots on the zero line (3-level compression grading)
Momentum histogram with acceleration coloring
Directional Flux clouds for trend conviction
Signal line with colored ribbon fill
Built-in high-probability alerts
Default settings (Length = 20, Flux Length = 30) are optimized for 4H crypto trading.
1. Squeeze Dots on the Zero Line (Center) — The Core Volatility Signal
The colored circles plotted directly on the zero line show whether the market is in a volatility squeeze (Bollinger Bands inside Keltner Channels) and how strong it is.
Dot Colors & Meaning (from strongest to weakest):
Orange/Red (#ff1100) → High Compression Squeeze
The strongest squeeze level. Market is tightly coiled — highest probability of a major breakout soon (often 20–100%+ moves in crypto). Pay close attention here.
Red (#ff5e00) → Mid Compression Squeeze
Moderate squeeze. Building pressure — good potential for solid moves.
Yellow/Orange (#ffa600) → Low Compression Squeeze
Weaker squeeze. Still valid, but lower conviction.
Green → No Squeeze / Squeeze Fired
Volatility has expanded — the big move is now underway. Direction depends on the momentum histogram.
Trading Tip: Focus on orange (high compression) dots for the highest-quality setups. When they turn green, the squeeze has "fired" — check momentum for direction.
2. Momentum Histogram Bars — Direction & Strength
The thick column bars above and below zero show momentum strength and acceleration using LazyBear’s classic coloring.
Bar Colors & Meaning:
Bright Cyan (#00ffff) → Accelerating Bullish (above zero, getting stronger)
Strongest buy signal — upward momentum building fast. Enter longs.
Dark Cyan/Blue (#0099cc) → Slowing Bullish (still positive but weakening)
Momentum fading — consider taking profits or tightening stops.
Bright Red (#ff0000) → Accelerating Bearish (below zero, getting stronger)
Strongest sell/short signal — downside pressure increasing.
Orange/Brown (#cc6600) → Slowing Bearish (downside weakening)
Potential reversal or bounce coming.
Best Entries:
Long: Orange squeeze dots → green fire → bright cyan bars cross above zero.
Short: Orange dots → green fire → bright red bars cross below zero.
3. Signal Line & Colored Ribbon Fill (Middle Area)
Thin line through the histogram: Smoothed signal line (SMA of momentum).
Shaded ribbon between histogram and signal:
Yellow/Orange fill → Bullish (histogram above signal) — momentum strengthening.
Blue/Dark fill → Bearish (histogram below signal) — momentum weakening.
This ribbon helps spot clean crossovers and reduces false signals. Wait for the histogram to cross above the signal (yellow fill appears) after a squeeze fire for stronger entries.
4. Directional Flux Clouds (Lower Shaded Area)
The wavy shaded section below the histogram measures consistent directional flow (up vs. down pressure normalized by volatility).
Two layers of green/red shading:
Dark Green (#169b5d) → Steady bullish flow (above zero)
Reliable uptrend support — good for holding positions.
Light Green (#11cf77) overlay → Extreme/Accelerating bullish flux
High conviction — strong pumps and trend continuations.
Dark Red (#970529) → Steady bearish flow (below zero)
Light Red/Orange (#d11645) overlay → Extreme bearish acceleration
Stacked dark + light green clouds confirm powerful bullish breakouts. Weak or flat flux near zero = choppy market (avoid trading).
5. Built-in Alerts (High-Probability Triggers)
These alerts fire once per bar close (no repainting). Set them up in TradingView → Alerts → Select this indicator.
Recommended Alerts:
High Compression Squeeze ON
"HIGH SQUEEZE STARTED — Big move loading!"
BULLISH Squeeze Fire
"BULLISH FIRE! Green dots + strong cyan momentum — Potential long!"
BEARISH Squeeze Fire
"BEARISH FIRE! Red momentum after squeeze — Potential short!"
Momentum Cross Above Zero
"Momentum turned bullish — Trend shift up!"
Strong Bullish Momentum Building
"Accelerating cyan bars — Uptrend strengthening!"
Simple 4H Crypto Trading Strategy
Long Setup (Highest Win Rate):
Series of orange/red squeeze dots appear.
Dots turn green (squeeze fires).
Bright cyan histogram bars cross above zero and signal line (yellow ribbon).
Dark + light green flux clouds confirm.
→ Enter long at bar close. Stop below recent low. Target 2–3x risk or trail on fading momentum.
Short Setup: Mirror opposite (red bars + red clouds).
Risk 1% per trade. Combine with higher timeframe trend for best results.
This indicator excels at catching explosive moves in crypto and stocks during trending markets. Always paper trade new setups first.
Happy trading — may your squeezes fire green with bright momentum!
shadowtrader96Gold / Silver Ratio Indicator
This indicator plots the Gold/Silver ratio along with a 200 EMA to help identify relative strength and long-term trend shifts between Gold and Silver.
Best used on Daily and higher timeframes.
For educational purposes only.
MACD Crossover
Enter Long:
Above 200 EMA
MACD crossover below 0-line
Enter Short:
Below 200 EMA
MACD crossunder above 0-line
Structural Equilibrium Line and DashboardOverview The Structural Equilibrium Dashboard is a comprehensive technical analysis tool designed to identify the "fair value" or balance point of market structure across multiple timeframes. Unlike traditional moving averages that rely on time-based smoothing, this indicator anchors its calculations to confirmed Structural Pivots (Highs and Lows).
By reflecting current price action against these structural boundaries, the algorithm identifies the internal momentum of an asset. This provides traders with a clear visualization of whether the market is in a state of structural strength or nearing potential exhaustion points.
Core Methodology The script utilizes a custom reflection algorithm that determine the Structural Equilibrium Line:
Structural Pivot Detection: The engine scans for significant peaks and valleys based on user-defined lookback and confirmation parameters.
Equilibrium Mapping: It calculates the midpoint of the current structural range and projects the price relative to this "balance point."
Signal Smoothing: The raw structural data is processed through a precision filter to reduce market noise while remaining responsive to significant momentum shifts.
Key Features
Multi-Timeframe (MTF) Dashboard: Monitor the structural bias of five key timeframes (5m, 15m, 30m, 1h, 4h) simultaneously. This allows for rapid top-down analysis and confluence tracking without changing charts.
Structural Momentum Cloud: A dynamic visual zone that highlights the displacement between price and equilibrium, assisting in the identification of market overextensions.
Adaptive UI: The dashboard is optimized for both Dark and Light modes, ensuring maximum legibility across all user interface configurations.
Structural Filtering: The logic is specifically tuned to maintain a neutral stance during low-volume consolidation, updating only upon confirmed structural shifts.
Operational Use
1. The "Top-Down" Lead: You don’t need the whole table to match. If your higher timeframes (1H or 4H) are Green, look for the lower timeframes (5M or 15M) to turn Green as well. This alignment can sometimes occur before the main line changes colour, offering contextual insight — not a guaranteed signal.
2. Trend Shifts: When the main line on your chart changes colour (e.g., Red to Green), it means the price has crossed the "Balance Point" of the current market structure. This is your signal that the trend direction has officially shifted.
3. Measuring Strength: Use the Momentum Cloud (the shaded area) to see how strong the move is. A widening cloud means the trend is gaining speed. If the cloud is very thin, the market is likely just "chopping" or consolidating.
This tool is for analytical and educational purposes only. It is not financial advice, and it does not guarantee profits.
Smart Momentum Wave
Smart Momentum Wave – Market Momentum Analysis System
Smart Momentum Wave (SMW) is a sophisticated analytical tool designed for traders who value data clarity and objectivity in market assessment. The algorithm integrates price dynamics, capital activity, and volatility, providing a comprehensive situational overview in a single, transparent panel below the price chart.
Analytical Modules and Technology
1. Primary Impulse Wave
The core logic of the indicator is based on two dynamic lines reacting to the price structure.
• Dynamic Wave: Adapts its color to green during bullish phases and red during bearish phases, allowing for an immediate assessment of the dominant trend.
• Signal Base: A subtle blue reference line used to identify momentum crossover points.
2. Capital Activity
A module that analyzes the flow of market funds to verify trend strength.
• Visualization: Background columns represent the intensity of capital accumulation or distribution.
• Application: Helps distinguish genuine market moves from temporary corrections.
3. Adaptive Volatility Zones
The algorithm utilizes intelligent bands that automatically adjust to current market conditions.
• Mechanics: The ranges scale during periods of high activity and contract during consolidation.
• Application: Effectively filters low-quality signals by focusing on moments of significant statistical price deviation.
4. Divergence Identification (Type A & Type B)
SMW automatically identifies and plots divergence lines on the chart:
• Type A (Classic): Signals potential trend exhaustion points.
• Type B (Hidden): Indicates a potential continuation of the current directional move.
Extended Features and Personalization
• Fast Pulse Overlay: Displayed as a background cloud, it indicates local areas of extreme deviation, which is crucial for the early identification of reversal points.
• Trend Candles: An optional feature that projects trend logic directly onto the price chart, assisting in maintaining analytical discipline.
• Multi-Timeframe (MTF): Provides the ability to analyze trends from higher timeframes without changing the primary chart interval.
Intelligent Alert System
The indicator features a built-in, comprehensive alert system that enables full automation of market monitoring:
• Entry Signals: Notifications for confirmed bullish (Long) and bearish (Short) impulses.
• Divergences: Separate alerts for detected Type A and Type B divergences.
FAQ – Frequently Asked Questions
1. ACCESS: This tool is available exclusively to subscribers (Invite-only). To gain access, please send an email to:
SmartMoneyAlgoSystem@proton.me
Access to Smart Momentum Wave is granted manually. After purchasing a subscription, provide your TradingView username. The indicator will appear under the Indicators -> Invite-only scripts tab.
2. Which markets and instruments does SMW work on? The algorithm is universal and works on all liquid instruments available on TradingView, including Cryptocurrencies, Forex, Stocks, Indices, and Commodities. It demonstrates the highest analytical effectiveness in high-volume markets.
3. Does the indicator "repaint" signals? No. All signals (Buy/Sell dots) and wave crossovers are based on closed candle data. Divergences appear after a pivot point is confirmed, which is the standard in reliable technical analysis.
4. Which timeframes are optimal for SMW? The indicator is designed to work on any timeframe – from scalping (1m, 5m) to long-term trading (1D, 1W). With the Multi-Timeframe (MTF) function, users can filter lower-interval signals through the lens of a higher-order trend.
5. Are the signals generated by SMW infallible? No analytical tool guarantees 100% accuracy. SMW provides a statistical advantage by identifying moments with a high probability of momentum change. The key to success is combining the algorithm's indications with your own risk management system and exit strategy.
6. Do I need to change the default settings? The factory settings are optimized to provide a balance between sensitivity and signal stability across most markets. However, advanced users can personalize parameters such as wave length or divergence sensitivity to suit the specific dynamics of a given asset.
LEGAL DISCLAIMER
The Smart Momentum Wave indicator is a tool supporting technical analysis and is intended for educational and informational purposes only.
Please note the following:
1. No Recommendation: This tool does not constitute investment advice or a recommendation within the meaning of the Regulation of the Minister of Finance of October 19, 2005.
2. Market Risk: Trading financial instruments involves a high risk of loss. Past performance does not guarantee similar future results.
3. Liability: The author of the indicator is not responsible for the investment decisions of users or their financial consequences.
4. Decision Making: Every transaction is undertaken by the user independently, based on their own strategy and risk assessment.
