black belt cloudThe EMA Cloud indicator highlights market trend direction by filling the space between multiple exponential moving averages with dynamic color-coded clouds.
When the market is in a bullish alignment, the cloud turns green, signaling strong upward momentum.
When the market shifts into a bearish alignment, the cloud turns red, warning of downside pressure.
During periods of mixed or uncertain conditions, the cloud appears yellow to indicate potential consolidation or indecision.
The indicator also includes alerts that trigger only on trend changes, helping traders react quickly when momentum shifts.
This tool makes it easy to:
Visualize trend strength at a glance
Avoid choppy, sideways market conditions
Combine with entry/exit strategies for improved decision-making
Скользящие средние
Kalman Adjusted Average True Range [BackQuant]Kalman Adjusted Average True Range
A volatility-aware trend baseline that fuses a Kalman price estimate with ATR “rails” to create a smooth, adaptive guide for entries, exits, and trailing risk.
Built on my original Kalman
This indicator is based on my original Kalman Price Filter:
That core smoother is used here to estimate the “true” price path, then blended with ATR to control step size and react proportionally to market noise.
What it plots
Kalman ATR Line the main baseline that turns up/down with the filtered trend.
Optional Moving Average of the Kalman ATR a secondary line for confluence (SMA/Hull/EMA/WMA/DEMA/RMA/LINREG/ALMA).
Candle Coloring (optional) paint bars by the baseline’s current direction.
Why combine Kalman + ATR?
Kalman reduces measurement noise and produces a stable path without the lag of heavy MAs.
ATR rails scale the baseline’s step to current volatility, so it’s calm in chop and more responsive in expansion.
The result is a single, intelligible line you can trade around: slope-up = constructive; slope-down = caution.
How it works (plain English)
Each bar, the Kalman filter updates an internal state (tunable via Process Noise , Measurement Noise , and Filter Order ) to estimate the underlying price.
An ATR band (Period × Factor) defines the allowed per-bar adjustment. The baseline cannot “jump” beyond those rails in one step.
A direction flip is detected when the baseline’s slope changes sign (upturn/downturn), and alerts are provided for both.
Typical uses
Trend confirmation Trade in the baseline’s direction; avoid fading a firmly rising/falling line.
Pullback timing Look for entries when price mean-reverts toward a rising baseline (or exits on tags of a falling one).
Trailing risk Use the baseline as a dynamic guide; many traders set stops a small buffer beyond it (e.g., a fraction of ATR).
Confluence Enable the MA overlay of the Kalman ATR; alignment (baseline above its MA and rising) supports continuation.
Inputs & what they do
Calculation
Kalman Price Source which price the filter tracks (Close by default).
Process Noise how quickly the filter can adapt. Higher = more responsive (but choppier).
Measurement Noise how much you distrust raw price. Higher = smoother (but slower to turn).
Filter Order (N) depth of the internal state array. Higher = slightly steadier behavior.
Kalman ATR
Period ATR lookback. Shorter = snappier; longer = steadier.
Factor scales the allowed step per bar. Larger factors permit faster drift; smaller factors clamp movement.
Confluence (optional)
MA Type & Period compute an MA on the Kalman ATR line , not on price.
Sigma (ALMA) if ALMA is selected, this input controls the curve’s shape. (Ignored for other MA types.)
Visuals
Plot Kalman ATR toggle the main line.
Paint Candles color bars by up/down slope.
Colors choose long/short hues.
Signals & alerts
Trend Up baseline turns upward (slope crosses above 0).
Alert: “Kalman ATR Trend Up”
Trend Down baseline turns downward (slope crosses below 0).
Alert: “Kalman ATR Trend Down”
These are state flips , not “price crossovers,” so you avoid many one-bar head-fakes.
How to start (fast presets)
Swing (daily/4H) ATR Period 7–14, Factor 0.5–0.8, Process Noise 0.02–0.05, Measurement Noise 2–4, N = 3–5.
Intraday (5–15m) ATR Period 5–7, Factor 0.6–1.0, Process Noise 0.05–0.10, Measurement Noise 2–3, N = 3–5.
Slow assets / FX raise Measurement Noise or ATR Period for calmer lines; drop Factor if the baseline feels too jumpy.
Reading the line
Rising & curving upward momentum building; consider long bias until a clear downturn.
Flat & choppy regime uncertainty; many traders stand aside or tighten risk.
Falling & accelerating distribution lower; short bias until a clean upturn.
Practical playbook
Continuation entries After a Trend Up alert, wait for a minor pullback toward the baseline; enter on evidence the line keeps rising.
Exit/reduce If long and the baseline flattens then turns down, trim or exit; reverse logic for shorts.
Filters Add a higher-timeframe check (e.g., only take longs when the daily Kalman ATR is rising).
Stops Place stops just beyond the baseline (e.g., baseline − x% ATR for longs) to avoid “tag & reverse” noise.
Notes
This is a guide to state and momentum, not a guarantee. Combine with your process (structure, volume, time-of-day) for decisions.
Settings are asset/timeframe dependent; start with the presets and nudge Process/Measurement Noise until the baseline “feels right” for your market.
Summary
Kalman ATR takes the noise-reduction of a Kalman price estimate and couples it with volatility-scaled movement to produce a clean, adaptive baseline. If you liked the original Kalman Price Filter (), this is its trend-trading cousin purpose-built for cleaner state flips, intuitive trailing, and confluence with your existing
RSI Trend Navigator [QuantAlgo]🟢 Overview
The RSI Trend Navigator integrates RSI momentum calculations with adaptive exponential moving averages and ATR-based volatility bands to generate trend-following signals. The indicator applies variable smoothing coefficients based on RSI readings and incorporates normalized momentum adjustments to position a trend line that responds to both price action and underlying momentum conditions.
🟢 How It Works
The indicator begins by calculating and smoothing the RSI to reduce short-term fluctuations while preserving momentum information:
rsiValue = ta.rsi(source, rsiPeriod)
smoothedRSI = ta.ema(rsiValue, rsiSmoothing)
normalizedRSI = (smoothedRSI - 50) / 50
It then creates an adaptive smoothing coefficient that varies based on RSI positioning relative to the midpoint:
adaptiveAlpha = smoothedRSI > 50 ? 2.0 / (trendPeriod * 0.5 + 1) : 2.0 / (trendPeriod * 1.5 + 1)
This coefficient drives an adaptive trend calculation that responds more quickly when RSI indicates bullish momentum and more slowly during bearish conditions:
var float adaptiveTrend = source
adaptiveTrend := adaptiveAlpha * source + (1 - adaptiveAlpha) * nz(adaptiveTrend , source)
The normalized RSI values are converted into price-based adjustments using ATR for volatility scaling:
rsiAdjustment = normalizedRSI * ta.atr(14) * sensitivity
rsiTrendValue = adaptiveTrend + rsiAdjustment
ATR-based bands are constructed around this RSI-adjusted trend value to create dynamic boundaries that constrain trend line positioning:
atr = ta.atr(atrPeriod)
deviation = atr * atrMultiplier
upperBound = rsiTrendValue + deviation
lowerBound = rsiTrendValue - deviation
The trend line positioning uses these band constraints to determine its final value:
if upperBound < trendLine
trendLine := upperBound
if lowerBound > trendLine
trendLine := lowerBound
Signal generation occurs through directional comparison of the trend line against its previous value to establish bullish and bearish states:
trendUp = trendLine > trendLine
trendDown = trendLine < trendLine
if trendUp
isBullish := true
isBearish := false
else if trendDown
isBullish := false
isBearish := true
The final output colors the trend line green during bullish states and red during bearish states, creating visual buy/long and sell/short opportunity signals based on the combined RSI momentum and volatility-adjusted trend positioning.
🟢 Signal Interpretation
Rising Trend Line (Green): Indicates upward momentum where RSI influence and adaptive smoothing favor continued price advancement = Potential buy/long positions
Declining Trend Line (Red): Indicates downward momentum where RSI influence and adaptive smoothing favor continued price decline = Potential sell/short positions
Flattening Trend Lines: Occur when momentum weakens and the trend line slope approaches neutral, suggesting potential consolidation before the next move
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, sending "RSI Trend Bullish Signal" or "RSI Trend Bearish Signal" messages for timely entry/exit
Color Bar Candles Option: Optional candle coloring feature that applies the same green/red trend colors to price bars, providing additional visual confirmation of the current trend direction
Black Belt cloudThe EMA Cloud indicator highlights market trend direction by filling the space between multiple exponential moving averages with dynamic color-coded clouds.
When the market is in a bullish alignment, the cloud turns green, signaling strong upward momentum.
When the market shifts into a bearish alignment, the cloud turns red, warning of downside pressure.
During periods of mixed or uncertain conditions, the cloud appears gray to indicate potential consolidation or indecision.
The indicator also includes alerts that trigger only on trend changes, helping traders react quickly when momentum shifts.
This tool makes it easy to:
Visualize trend strength at a glance
Avoid choppy, sideways market conditions
Combine with entry/exit strategies for improved decision-making
RSI -> PROFABIGHI_CAPITAL🌟 Overview
This RSI → PROFABIGHI_CAPITAL implements an advanced Relative Strength Index with sophisticated dual-layer smoothing capabilities and enhanced visualization for superior momentum analysis and overbought/oversold identification.
It provides Multi-method smoothing system supporting nine different moving average types for RSI refinement , Dual-smoothing architecture enabling comparison between two independently configured smoothed RSI lines , VIDYA volatility-adaptive smoothing for dynamic market condition responsiveness , and Enhanced visual framework with color-coded signals and customizable extreme level zones for comprehensive momentum oscillator analysis.
🔧 Advanced RSI Configuration Framework
- Professional RSI implementation with customizable price source selection and adjustable calculation periods for different market sensitivities
- RSI Source Selection enabling close, high, low, or other price inputs for flexible momentum calculation adaptation
- RSI Length Configuration providing adjustable calculation periods balancing responsiveness versus smoothness for different trading styles
- Extreme Level Management offering configurable overbought and oversold thresholds for personalized signal generation
- VIDYA Volatility Integration using Variable Index Dynamic Average with configurable volatility lookback for adaptive smoothing
- Precision Controls supporting price formatting and decimal precision for accurate momentum measurement display
📊 Multi-Method Smoothing Engine
- Nine Smoothing Options supporting SMA, EMA, WMA, HMA, RMA, LSMA, DEMA, TEMA, and VIDYA methods for comprehensive RSI refinement
- First Layer Smoothing providing primary RSI smoothing with configurable method selection and period adjustment for noise reduction
- Second Layer Smoothing enabling additional smoothing layer with independent method and period configuration for enhanced signal clarity
- Advanced Moving Averages implementing DEMA and TEMA calculations for reduced lag and improved responsiveness
- Hull Moving Average Integration offering HMA smoothing for optimal balance between smoothness and responsiveness
- Linear Regression Smoothing providing LSMA option for trend-following RSI interpretation with mathematical precision
- VIDYA Implementation using volatility-adjusted smoothing that adapts to market conditions automatically
🔄 Dual-Smoothing Comparison System
- Independent Smoothing Layers allowing separate configuration of two different smoothing methods and periods for RSI comparison
- Comparison Mode Activation enabling dual-line display with crossover analysis for enhanced signal generation
- Color-Coded Relationship using green coloring when first smoothed RSI is below second smoothed RSI and red when above
- Crossover Signal Generation providing visual cues for momentum shifts through smoothed RSI line intersections
- Flexible Configuration supporting any combination of smoothing methods for customized momentum analysis
- Signal Validation Framework using dual-smoothing agreement for higher-confidence momentum signals
📈 VIDYA Volatility-Adaptive Implementation
- Volatility Measurement System calculating standard deviation of RSI values over configurable lookback periods for market condition assessment
- Adaptive Smoothing Factor automatically adjusting smoothing intensity based on current market volatility levels
- Alpha Coefficient Calculation using mathematical formulation for optimal smoothing factor determination
- K-Factor Integration implementing volatility ratio for dynamic smoothing adjustment with boundary constraints
- Mathematical Precision ensuring proper VIDYA calculation through error handling and edge case management
- Market Condition Responsiveness providing more smoothing during calm markets and less during volatile periods
🎨 Enhanced Visual Framework
- Dynamic Color Coding System using dark green for extreme overbought conditions, dark red for extreme oversold conditions, and gray for neutral zones
- Dual-Line Visualization displaying primary smoothed RSI with prominent line width and secondary smoothed RSI with thinner reference line
- Comparison Mode Coloring implementing synchronized green/red coloring for both lines based on their relative positions
- Background Raw RSI Display showing unsmoothed RSI as subtle background reference when smoothing is applied
- Extreme Zone Highlighting filling area between overbought and oversold levels with subtle background color for clear zone identification
- Reference Line Framework displaying horizontal lines for extreme high, extreme low, and middle levels with customizable transparency
⚙️ Advanced Signal Generation Logic
- Single-Line Mode Signals generating color-coded momentum signals based on smoothed RSI crossing extreme overbought and oversold thresholds
- Comparison Mode Signals creating crossover-based signals when first smoothed RSI crosses above or below second smoothed RSI
- Extreme Level Detection identifying when smoothed RSI enters overbought territory above extreme high threshold or oversold territory below extreme low threshold
- Momentum Shift Recognition highlighting transitions between bullish and bearish momentum states through color changes
- Signal Persistence Tracking maintaining color states until opposing conditions develop for clear trend identification
- Neutral Zone Management displaying gray coloring when RSI remains between extreme thresholds indicating consolidation periods
🔍 Mathematical Implementation Framework
- RSI Calculation Accuracy using Pine Script's built-in RSI function for precise momentum oscillator computation
- DEMA Mathematical Formula implementing double exponential moving average calculation with proper lag reduction methodology
- TEMA Advanced Calculation using triple exponential moving average formulation for enhanced smoothing with minimal lag
- Null Value Protection ensuring continuous calculation through proper handling of undefined values and edge cases
- Smoothing Fallback Logic providing raw RSI values when smoothing calculations encounter mathematical issues
- Precision Maintenance preserving calculation accuracy across different smoothing methods and market conditions
📊 Professional Display Features
- Configurable Extreme Levels supporting custom overbought and oversold threshold settings for different market environments
- Middle Reference Line displaying 50-level dotted line for momentum direction and strength assessment
- Transparency Controls using appropriate transparency levels for background elements and reference lines
- Line Weight Hierarchy implementing visual hierarchy through different line weights for primary and secondary elements
- Zone Fill Visualization providing subtle background fill between extreme levels for immediate zone identification
- Raw RSI Background Reference showing original unsmoothed RSI when smoothing is applied for comparison purposes
⚡ Performance Optimization Features
- Conditional Plotting displaying elements only when relevant smoothing options are enabled for chart performance
- Efficient Calculation Methods using optimized mathematical formulations for real-time smoothing computation
- Memory Management implementing efficient variable usage and calculation sequences for minimal resource consumption
- Real-Time Updates providing immediate smoothed RSI values and color changes with each new price bar
- Error Prevention Framework incorporating validation and fallback mechanisms for reliable indicator operation
- Timeframe Compatibility supporting multiple timeframe analysis with proper gap handling and data continuity
✅ Key Takeaways
- Advanced RSI implementation with sophisticated dual-layer smoothing using nine different moving average methods for enhanced momentum analysis
- VIDYA volatility-adaptive smoothing providing automatic market condition responsiveness for optimal signal quality in different environments
- Dual-smoothing comparison system enabling crossover analysis between two independently configured smoothed RSI lines for enhanced signal generation
- Professional visualization framework with dynamic color coding, extreme zone highlighting, and configurable reference levels for immediate analysis
- Mathematical precision implementation using proper DEMA, TEMA, and VIDYA calculations with comprehensive error handling and edge case management
- Flexible configuration options supporting different trading styles and market conditions through customizable smoothing methods and extreme level thresholds
- Performance-optimized design with conditional plotting and efficient calculations for real-time momentum analysis without chart performance impact
6 MAs, BMSB, Pi Cycle TopThis indicator has 6 Moving averages that are highly customizable and visible on multiple time frames, it also includes the Bull Market Support Band (BMSB) and the Pi Cycle Top indicator which has been very good at predicting Cycle Tops for Bitcoin (BTC). You can customize all the moving averages, as well as using simple or exponential, you can also easily customize colors and line weights.
Created by: Dan Heilman
Triple-EMA Cloud (3× configurable EMAs + timeframe + fill)About This Script
Name: Triple-EMA Cloud (3× configurable EMAs + timeframe + fill)
What it does:
The script plots three Exponential Moving Averages (EMAs) on your chart.
You can set each EMA’s length (how many bars or days it averages over), source (for example, closing price, opening price, or the midpoint of high + low), and timeframe (you can have one EMA use daily data, another hourly data, etc.).
The indicator draws a “cloud” or channel by shading the area between the outermost two EMAs of the three. This lets you see a band or zone that the price is moving in, defined by those EMAs.
You also get full control over how each of the three EMA‐lines looks: color, thickness, transparency, and plot style (solid line, steps, circles, etc.).
How to Use It (for Beginners)
Here’s how a trader who’s new to charts can use this tool, especially when looking for pullbacks or undercut price action.
Key Concepts
Trend: Imagine the market price is generally going up or down. EMAs are a way to smooth out price movements so you can see the trend more clearly.
Pullback: When a price has been going up (an uptrend), sometimes it dips down a little before going up again. That dip is the pullback. It’s a chance to enter or add to a position at a “better price.”
Undercut: This is when price drops below an important level (for example an EMA) and then comes back up. It looks like it broke below, but then it recovers. That may show reverse pressure or strength building.
How the Script Helps With Pullbacks & Undercuts
Marking Trend Zones with the Cloud
The cloud between the outer EMA lines gives you a zone of expected support/resistance. If the price is above the cloud, that zone can act like a “floor” in uptrends; if it is below, the cloud might act like a “ceiling” in downtrends.
Watching Price vs the EMAs
If the price pulls back toward the cloud (or toward one of the EMAs) and then bounces back up, that’s a signal that the uptrend might continue.
If the price undercuts (goes a bit below) one of the EMAs or the cloud and then returns above it, that can also be a signal. It suggests that even though there was a temporary drop, buyers stepped in.
Using the Three EMAs for Confirmation
Because the script uses three EMAs, you can see how tightly or loosely they are spaced.
If all three EMAs are broadly aligned (for example, in an uptrend: shorter length above longer length, each pulling from reliable price source), that gives more confidence in trend strength.
If the middle EMA (or different source/timeframe) is holding up as support while others are above, it strengthens signal.
Entry & Exit Points
Entry: For example, after a pullback toward the cloud or “mid‐EMA”, wait for price to show a bounce up. That could be a better entry than buying at the top.
Stop Loss / Risk: You might place a stop loss just below the cloud or the lowest of your selected EMAs so that if price breaks through, the idea is invalidated.
Profit Target: Could be a recent high, resistance level, or a fixed reward-risk multiple (for example aiming to make twice what you risked).
Practical Steps for New Traders
Set up the EMAs
Choose simple lengths like 10, 21, 50.
For example, EMA #1 = length 10, source Close, timeframe “current chart”; EMA #2 = length 21, source (H+L)/2; EMA #3 = length 50, maybe timeframe daily.
Observe the Price Action
When price moves up, then dips, see if it comes back near the shaded cloud or one of the EMAs.
See if the dip touches the EMAs lightly (not a big drop) and then price starts climbing again.
Look for undercuts
If price briefly goes below a line (or below cloud) and then closes back above, that’s undercut + recovery. That bounce back is often meaningful.
Manage risk
Only put in money you can afford to lose.
Use small position size until you get comfortable.
Use stop-loss (as mentioned) in case the price doesn’t bounce as expected.
Practice
Put this indicator on charts (stocks you follow) in past time periods. See how price behaved with pullbacks / undercuts relative to the EMAs & cloud. This helps you learn to see signals.
What It Doesn’t Do (and What to Be Careful Of)
It doesn’t predict the future — it simply shows zones and trends. Price can still break down through the cloud.
In a “choppy” market (i.e. when price is going up and down without a clear trend), signals from EMAs / clouds are less reliable. You’ll get more “false bounces.”
Under / overshoots & big news events can break through clean levels, so always watch for confirmation (volume, price behavior) before putting big money in.
ma btc Multiple MA Convergence Alertbtc and eth ma15 20 50 200if converge
alert("EMA15, MA20, MA50, MA200 are converging/overlap crossing!", alert.freq_once_per_bar_close)
Champs LevelsEasy Bullish & Bearish sentiments to show short term trends.
How it works:
Orange line → 8 EMA
Purple line → Premarket High
Red line → Premarket Low
Background flashes green when above both, red when below both
🚀 marker = bullish breakout, ⚠ marker = bearish breakdown
Alerts for both sides
Guppy MMA [Alpha Extract]A sophisticated trend-following and momentum assessment system that constructs dynamic trader and investor sentiment channels using multiple moving average groups with advanced scoring mechanisms and smoothed CCI-style visualizations for optimal market trend analysis. Utilizing enhanced dual-group methodology with threshold-based trend detection, this indicator delivers institutional-grade GMMA analysis that adapts to varying market conditions while providing high-probability entry and exit signals through crossover and extreme value detection with comprehensive visual mapping and alert integration.
🔶 Advanced Channel Construction
Implements dual-group architecture using short-term and long-term moving averages as foundation points, applying customizable MA types to reduce noise and score-based averaging for sentiment-responsive trend channels. The system creates trader channels from shorter periods and investor channels from longer periods with configurable periods for optimal market reaction zones.
// Core Channel Calculation Framework
maType = input.string("EMA", title="Moving Average Type", options= )
// Short-Term Group Construction
stMA1 = ma(close, st1, maType)
stMA2 = ma(close, st2, maType)
// Long-Term Group Construction
ltMA1 = ma(close, lt1, maType)
ltMA2 = ma(close, lt2, maType)
// Smoothing Application
smoothedavg = ma(overallAvg, 10, maType)
🔶 Volatility-Adaptive Zone Framework
Features dynamic score-based averaging that expands sentiment signals during strong trend periods and contracts during consolidation phases, preventing false signals while maintaining sensitivity to genuine momentum shifts. The dual-group averaging system optimizes zone boundaries for realistic market behavior patterns.
// Dynamic Sentiment Adjustment
shortTermAvg = (stScore1 + stScore2 + ... + stScore11) / 11
longTermAvg = (ltScore1 + ltScore2 + ... + ltScore11) / 11
// Dual-Group Zone Optimization
overallAvg = (shortTermAvg + longTermAvg) / 2
allMAAvg = (shortTermAvg * 11 + longTermAvg * 11) / 22
🔶 Step-Like Boundary Evolution
Creates threshold-based trend boundaries that update on smoothed average changes, providing visual history of evolving bullish and bearish levels with performance-optimized threshold management limited to key zones for clean chart presentation and efficient processing.
🔶 Comprehensive Signal Detection
Generates buy and sell signals through sophisticated crossover analysis, monitoring smoothed average interaction with zero-line and thresholds for high-probability entry and exit identification. The system distinguishes between trend continuation and reversal patterns with precision timing.
🔶 Enhanced Visual Architecture
Provides translucent zone fills with gradient intensity scaling, threshold-based historical boundaries, and dynamic background highlighting that activates upon trend changes. The visual system uses institutional color coding with green bullish zones and red bearish zones for intuitive market structure interpretation.
🔶 Intelligent Zone Management
Implements automatic trend relevance filtering, displaying signals only when smoothed average proximity warrants analysis attention. The system maintains optimal performance through smart averaging management and historical level tracking with configurable MA periods for various market conditions.
🔶 Multi-Dimensional Analysis Framework
Combines trend continuation analysis through threshold crossovers with momentum detection via extreme markers, providing comprehensive market structure assessment suitable for both trending and ranging market conditions with score-normalized accuracy.
🔶 Advanced Alert Integration
Features comprehensive notification system covering buy signals, sell signals, strong bull conditions, and strong bear conditions with customizable alert conditions. The system enables precise position management through real-time notifications of critical sentiment interaction events and zone boundary violations.
🔶 Performance Optimization
Utilizes efficient MA smoothing algorithms with configurable types for noise reduction while maintaining responsiveness to genuine market structure changes. The system includes automatic visual level cleanup and performance-optimized visual rendering for smooth operation across all timeframes.
This indicator delivers sophisticated GMMA-based market analysis through score-adaptive averaging calculations and intelligent group construction methodology. By combining dynamic trader and investor sentiment detection with advanced signal generation and comprehensive visual mapping, it provides institutional-grade trend analysis suitable for cryptocurrency, forex, and equity markets. The system's ability to adapt to varying market conditions while maintaining signal accuracy makes it essential for traders seeking systematic approaches to trend trading, momentum reversals, and sentiment continuation analysis with clearly defined risk parameters and comprehensive alert integration.
ProfitAlgo.io TrendSync SimulationThe TrendSync Simulation is a gradient-based trend-following framework that helps traders quickly identify bullish vs bearish market structure while filtering out short-term noise.
Instead of relying on a single moving average or indicator, TrendSync builds a layered “trend cloud” in 3 different MODES, KUMO, PFA, HMA anchored against a reference band. These layers create a visual gradient that shifts with market direction.
When combined with its color-adaptive candles, you can turn off your candle setting colors within the chart settings of TradingView for the TrendSync color mapping which transforms raw price action into an easy-to-read flow map of institutional momentum.
📊 How It Works
Each layer creates a smooth gradient that shifts with trend direction:
Bullish trends form a rising, green-shaded cloud.
Bearish trends form a descending, red-shaded cloud.
Transitions appear as fading or compressing gradients, signaling potential reversals or consolidations.
Candles are also dynamically colored based on normalized momentum, allowing traders to see directional strength at a glance.
🔑 Key Features
✅ Gradient Cloud – A layered trend structure that visually shifts from bearish → bullish.
✅ Multiple Modes – Choose between KUMO, PFA, or HMA logic for responsiveness vs. smoothness.
✅ Dynamic Trend Candles – Bars adapt color based on momentum strength.
✅ Customizable Visualization – Adjust transparency, colors, and gradient strength to fit your chart style.
✅ Clarity of Direction – Highlights dominant flow while reducing noise from minor fluctuations.
⚙️ Settings Explained
Trend Method (KUMO / PFA / HMA): Controls the type of moving average used for the cloud.
Gradient Colors: Define the shading of bullish vs. bearish zones.
Transparency Controls: Adjust how strong or subtle the gradient cloud appears.
Lookback Length : Longer = smoother trend; shorter = more reactive.
💡 Use Cases
Identify trend bias quickly without switching between multiple indicators.
Confirm entries with liquidity or breakout strategies by aligning with the cloud.
Detect weakening or strengthening momentum via gradient compression.
Avoid trading against dominant higher time-frame flow with trend-colored candles .
⚡ Why It Matters
Markets often look chaotic on raw candlestick charts. TrendSync cuts through that noise by layering moving averages into a visual gradient, revealing institutional momentum in real time. Whether scalping, day trading, or swing trading, TrendSync provides a synchronized view of trend direction that adapts to different trading styles.
⚡ Paired with the Back End Order Matrix, TrendSync provides the clarity of direction after liquidity zones are exposed, creating a complete institutional-style framework inside TradingView.
EXAMPLE 1A
EXAMPLE 1B
EXAMPLE 1C
EXAMPLE 2A
CyberFX EMA21 Strategy (Pine v5)This is a simple indicator that can be used for a simple strategy. It follows the logic of the price always move back to the media, in that case an EMA(21). This give us an opportunity to achieve a better R/R. One important thing here is this indicator works better on trend markets. When the market is in consolidation mode it will show many signals so we need to pay attention and be patient. This indicator works better in 4H timeframes but it can used with other TFs.
The idea behind is:
for a bullish move when the price moves back to the EMA(21) we check the distance between the low value and the EMA(21) value. The best is when the price low crosses the EMA(21) from above. I am considering a 8 pips distance from the price low to the ema as a signal. Then I will wait for the new candle to move above the EMA(21) for a long entry. I also consider at least 50 pips for SL.
for a bearish move the idea is the same but we consider the price high crossing the EMA(21) and the new candle moving below the EMA.
I hope this can be useful and please leave your comment nad critics(but only the constructive one).
Have a safe trade
Turtle Trading with LayeringCrafted professional write-up for TradingView indicator publication.
Turtle Trading with Layering System
A complete implementation of the famous turtle trading strategy with proper position layering/pyramiding for manual trading.
Features
Core Turtle System:
20-day breakout entries (primary signals)
55-day breakout entries (backup after losses)
10-day reverse breakout exits
ATR-based stop losses and position sizing
Position Layering:
Build positions gradually as trends develop
Add up to 4 units per position
Each unit added every 0.5 ATR in your favor
Single stop loss protects entire position
The Real Deal v3.0The Real Deal v3.0 blends multiple layers of market structure into a single adaptive framework. Using a Gaussian price channel as its backbone, it adds dynamic confirmation from EMA filters, cloud-style trend detection, and a proprietary “Secret Sauce” momentum engine. Flexible trade direction, optional TP/SL management, and configurable entry/exit triggers allow the strategy to adapt to changing conditions. The result is a system designed to identify high-probability trades while filtering out the noise—simple on the surface, but with deeper mechanics under the hood.
HUll Dynamic BandEducational Hull Moving Average Wave Analysis Tool
**MARS** is an innovative educational indicator that combines multiple Hull Moving Average timeframes to create a comprehensive wave analysis system, similar in concept to Ichimoku Cloud but with enhanced smoothness and responsiveness.
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🎯 Key Features
**Triple Wave System**
- **Peak Wave (34-period)**: Fast momentum signals, similar to Ichimoku's Conversion Line
- **Primary Wave (89-period)**: Main trend identification with retest detection
- **Swell Wave (178-period)**: Long-term trend context and major wave analysis
**Visual Wave Analysis**
- **Wave Power Fill**: Dynamic area between primary and swell waves showing trend strength
- **Peak Power Fill**: Short-term momentum visualization
- **Smooth Curves**: Hull MA-based calculations provide cleaner signals than traditional moving averages
**Intelligent Signal System**
- **Trend Shift Signals**: Clear visual markers when trend changes occur
- **Retest Detection**: Identifies potential retest opportunities with specific conditions
- **Correction Alerts**: Early warning signals for market corrections
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📊 How It Works
The indicator uses **Hull Moving Averages** with **Fibonacci-based periods** (34, 89, 178) and a **Golden Ratio multiplier (1.64)** to create natural market rhythm analysis.
**Key Signal Types:**
- 🔵 **Circles**: Major trend shifts (primary wave crossovers)
- 💎 **Diamonds**: Retest opportunities with multi-wave confirmation
- ❌ **X-marks**: Correction signals and structural breaks
- 🌊 **Wave Fills**: Visual trend strength and direction
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🎓 Educational Purpose
This indicator demonstrates:
- Advanced moving average techniques using Hull MA
- Multi-timeframe analysis in a single view
- Wave theory application in technical analysis
- Dynamic support/resistance concept visualization
**Similar to Ichimoku but Different:**
- Ichimoku uses price-based calculations → Angular cloud shapes
- MARS uses weighted averages → Smooth, flowing wave patterns
- Both identify trend direction, but MARS offers faster signals with cleaner visualization
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⚙️ Customizable Settings
- **Wave Periods**: Adjust primary wave length (default: 89)
- **Multipliers**: Fine-tune wave sensitivity (default: 1.64 Golden Ratio)
- **Visual Style**: Customize line widths and signal displays
- **Peak Analysis**: Independent fast signal system (default: 34)
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🔍 Usage Tips
1. **Trend Identification**: Watch wave fill colors and line positions
2. **Entry Timing**: Look for retest diamonds after trend shift circles
3. **Risk Management**: Use wave boundaries as dynamic support/resistance
4. **Confirmation**: Combine with price action and market structure analysis
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⚠️ Important Notes
- **Educational Tool**: Designed for learning wave analysis concepts
- **Not Financial Advice**: Always use proper risk management
- **Backtesting Recommended**: Test on historical data before live trading
- **Combine with Analysis**: Works best with additional confirmation methods
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🚀 Innovation
MARS represents a unique approach to wave analysis by:
- Combining Hull MA smoothness with Ichimoku-style visualization
- Providing multi-timeframe analysis without chart clutter
- Offering retest detection with specific wave conditions
- Creating an educational bridge between different analytical methods
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*This indicator is shared for educational purposes to help traders understand advanced moving average techniques and wave analysis concepts. Always practice proper risk management and combine with your own analysis.*
ikrit : EMA Cross 3/5/20 + Stochastic (Shift=1)EMA 3 5 20 Shift1
Stochastic 35 3 3
It is an indicator used to run trends and find entry points according to the trend by considering the trend on TF H1 and above and entering orders when the EMA lines intersect on M5.
Screener EMA200/EMA365_v1Shows status about ema cross.
If ema 200 crosses up the ema 365 shows asc
If ema 200 crosses down the ema 365 shows desc
Custom Alpha v1Heiken Ashi based indicator using moving average crossovers combined with LuxAlgo Ultimate RSI with custom weighting to trigger buy and sell signals.
Settings for weightings and signal threshold are fully customizable in the indicator settings.
SMAs can be toggled on/off under the style tab of indicator settings.
Moving Average Signals : Support ResistanceThis indicator plots a Simple Moving Average (default 50-period, adjustable) and highlights potential bounce or rejection signals when price interacts with the SMA.
It is designed to identify moments when price tests the moving average from one side and then continues in the prior direction, signaling a possible continuation trade.
🔴 Red Triangle (Bearish Rejection)
A red triangle is plotted above the bar when:
Price has been trading below the SMA.
Price tests the SMA from below (the high touches or pierces the SMA but closes back below it).
Price then continues lower on the next bar.
This suggests the SMA acted as resistance and the downtrend may resume.
🟢 Green Triangle (Bullish Rejection)
A green triangle is plotted below the bar when:
Price has been trading above the SMA.
Price tests the SMA from above (the low touches or pierces the SMA but closes back above it).
Price then continues higher on the next bar.
This suggests the SMA acted as support and the uptrend may resume.
⚡ HOW TO USE IN TRADING
Trend Confirmation
Use this indicator in trending markets (not choppy ranges).
A rising SMA suggests bullish trend bias; a falling SMA suggests bearish trend bias.
Signal Entry
Green Triangle: Consider long entries when the SMA supports price and a bullish continuation is signaled.
Red Triangle: Consider short entries when the SMA rejects price and a bearish continuation is signaled.
Stop-Loss Placement
Place stops just beyond the SMA or the rejection candle’s high/low.
Example: For a red signal, stop above the SMA or rejection candle’s high.
Take-Profit Ideas
Target prior swing highs/lows or use risk/reward multiples (e.g., 2R, 3R).
You can also trail stops behind the SMA in a strong trend.
Filters for Higher Accuracy (optional)
Confirm signals with volume, momentum indicators (e.g., RSI, MACD), or higher-timeframe trend.
Avoid trading signals against strong higher-timeframe bias.
回撤再入场引擎This is a long-only, counter-trend strategy that aims to buy dips in a medium-term downtrend. The entry logic is based on a confluence of four filters:
1. **Trend Filter:** The price must be trading below the 60-period Simple Moving Average (SMA).
2. **Oversold Condition:** The WaveTrend Oscillator must first dip below -60 and then recover above -55.
3. **Momentum Confirmation:** The MACD must show sustained bullish momentum for at least 2 bars.
4. **Re-entry Filter:** A new trade is only allowed if the price is at least a certain percentage lower than the last trade's exit price.
The exit is based on a fixed Take Profit target. This version does not include a stop-loss.
ROC -> PROFABIGHI_CAPITAL🌟 Overview
This ROC → PROFABIGHI_CAPITAL implements a streamlined Rate of Change momentum indicator for clear trend direction analysis and momentum strength assessment.
It provides Rate of Change calculation with configurable period settings , Dynamic color-coded visualization with green for positive momentum and red for negative momentum , and Zero reference line for clear momentum direction identification for fundamental momentum analysis and trend confirmation.
🔧 Momentum Analysis Architecture
- Professional Rate of Change implementation focusing on percentage price changes over specified periods for momentum measurement
- Period Configuration Framework with adjustable lookback period using 14-period default for balanced momentum sensitivity
- Minimum Value Protection ensuring period input accepts only values of 1 or greater for mathematical validity
- Separate Panel Display using overlay = false for dedicated momentum analysis window below price chart
- Simple Input Interface providing single parameter control for easy configuration and optimization
📊 ROC Calculation Engine
- Pine Script ROC Function utilizing built-in ta.roc calculation for accurate percentage change measurement over specified periods
- Close Price Source using closing prices as standard input for momentum calculation providing consistent trend analysis
- Percentage Change Formula calculating ((current close - close N periods ago) / close N periods ago) × 100 for standardized momentum measurement
- Period-Based Analysis measuring momentum over user-defined lookback period for flexible timeframe adaptation
- Real-Time Updates providing current momentum readings with each new bar for immediate trend assessment
🎨 Visual Representation Framework
- Dynamic Color Coding System using green coloring for positive ROC values indicating upward momentum and red coloring for negative values showing downward momentum
- Clear Visual Distinction providing immediate visual feedback on momentum direction through intuitive color scheme
- Line Weight Enhancement using linewidth = 2 for prominent momentum line display ensuring clear trend identification
- Zero Reference Line displaying horizontal dashed gray line at zero level for momentum direction baseline reference
- Professional Chart Integration implementing clean visual design with standard color conventions for institutional analysis
📈 Momentum Analysis Applications
- Trend Direction Confirmation identifying positive ROC values as bullish momentum and negative values as bearish momentum
- Momentum Strength Assessment measuring momentum magnitude through ROC value extremes for trend intensity evaluation
- Divergence Analysis comparing price action with ROC direction for potential reversal signal identification
- Overbought/Oversold Detection using extreme ROC values for potential mean reversion opportunities
- Trend Continuation Validation confirming sustained momentum through consistent ROC direction for trend following strategies
- Entry and Exit Timing utilizing ROC zero-line crosses and directional changes for position management decisions
⚙️ Configuration Parameters
- ROC Period Setting controlling lookback period for momentum calculation with 14-period default providing balanced sensitivity
- Period Optimization Range supporting values from 1 to unlimited for different analytical timeframes and market conditions
- Short-Term Analysis using periods 1-7 for quick momentum changes and scalping applications
- Medium-Term Analysis utilizing periods 8-21 for swing trading and intermediate trend analysis
- Long-Term Analysis employing periods 22+ for position trading and major trend identification
- Market Adaptation adjusting period length based on asset volatility and trading strategy requirements
🔍 Technical Implementation
- Mathematical Accuracy using Pine Script's built-in ROC function ensuring proper percentage change calculations
- Computational Efficiency implementing streamlined code structure for optimal performance and minimal resource usage
- Error Prevention using minimum value constraints preventing invalid period inputs and calculation errors
- Real-Time Processing providing immediate momentum updates with each new price bar for current market assessment
- Clean Code Architecture maintaining simple, readable structure for easy modification and optimization
- Professional Standards following Pine Script best practices for reliable indicator performance
📊 Trading Applications
- Momentum Confirmation validating trend direction through positive or negative ROC readings for directional bias
- Zero-Line Strategy using ROC crosses above and below zero for basic momentum trading signals
- Extreme Reading Analysis identifying unusually high or low ROC values for potential reversal opportunities
- Multi-Timeframe Analysis applying different ROC periods across timeframes for comprehensive momentum assessment
- Divergence Trading comparing price peaks/troughs with ROC peaks/troughs for reversal signal generation
- Filter Integration combining ROC with other indicators for enhanced signal validation and trade confirmation
✅ Key Takeaways
- Streamlined Rate of Change implementation providing essential momentum analysis through percentage price change calculation
- Dynamic color-coded visualization offering immediate momentum direction identification through green/red color scheme
- Configurable period settings enabling adaptation to different trading styles and market timeframes
- Zero reference line providing clear momentum baseline for directional bias and signal generation
- Professional implementation using Pine Script best practices for reliable performance and easy optimization
- Fundamental momentum tool suitable for trend confirmation, divergence analysis, and basic trading signal generation
- Clean, efficient design focusing on core momentum functionality without unnecessary complexity or visual clutter
