RSI Level Candles [fmb]RSI Level Candles
What it is
RSI Level Candles is a minimal, high-signal overlay that keeps your attention on price. It paints candles by RSI regime and adds tiny edge dots to highlight extreme momentum. The design goal is speed and clarity with no clutter.
Why it was built
Most RSI tools sit in a separate pane and introduce noise with extra lines, labels, and overlapping thresholds. This indicator moves the information onto price itself. You see regime directly on the candles and only the most important alerts when RSI is in extreme territory.
What it does
Candles change color according to RSI. Above the neutral high (default 60) they turn green. At the high extreme (default 70, or 80 if you prefer) they turn lime. Between 40 and 60 you may show a soft yellow neutral band or leave candles unpainted. Below the neutral low (default 40) candles turn red, and at or below the low extreme (default 30, or 20 if you prefer) they turn maroon. The indicator also prints small dots at the top and bottom of the pane to spotlight extremes. A green dot appears at the top on any bar with RSI at or above the high extreme. A red dot appears at the bottom on any bar with RSI at or below the low extreme.
How this helps
You get an instant read on momentum regime without leaving the price chart. Extremes are easy to spot which helps manage chase or exhaustion risk. The neutral band behavior helps distinguish trend days from range days and supports cleaner add or trim decisions within an existing trend.
Best practices
Treat 60 and 40 as momentum gates. Above 60 favors a long bias and additive entries on pullbacks. Below 40 favors a defensive posture on longs or a short bias. Use extremes for management rather than automatic reversal calls. In strong trends RSI can remain extreme for extended periods. Look for a change in market structure or a clear reclaim of 60 or 40 before shifting bias. Combine this overlay with simple structure and trend filters such as support and resistance, a 20 or 50 period moving average, and volume or volatility context.
Inputs
You can set RSI source and length, choose neutral low and high, and choose extreme low and high. The neutral band can be shown in soft yellow between 40 and 60 or turned off entirely. You can also toggle candle painting on or off if you only want the extreme dots.
Reading the colors
Lime indicates the extreme bullish zone. Green indicates bullish momentum. Yellow indicates the optional neutral band. Red indicates bearish momentum. Maroon indicates the extreme bearish zone. A small green dot at the top means the bar is in the high extreme. A small red dot at the bottom means the bar is in the low extreme.
Use cases
For trend following, stay aligned with the prevailing regime while avoiding overreactions to small fluctuations. For swing entries, buy pullbacks while RSI holds above 40 in uptrends, and fade bounces that stall under 60 in downtrends. For risk control, trim strength that pushes into extremes and stalls, then re-add on momentum reclaims.
Limitations
RSI measures momentum, not direction by itself. Do not use it in isolation. Extremes can persist during strong trends, so wait for structure or momentum re-tests before changing bias. Very illiquid symbols can create noisy signals.
Notes
Dots are designed to appear on every bar that sits inside the extreme zones. If you prefer single entry dots, change the logic to look for crosses rather than conditions. There is no separate RSI pane, no text labels, and no cross markers. The objective is simplicity and speed.
Indicador de Momentum (MOM)
EMA Crossover Arrows (6 EMA & 20 EMA)EMA Crossover Arrows (6 EMA & 20 EMA) - Quick Signal Detector
📊 OVERVIEW
A simple yet powerful indicator that automatically marks exact moments when the 6 EMA crosses the 20 EMA - giving you clear visual signals for potential trend changes without any chart clutter.
🎯 WHAT IT SHOWS
Two precise crossover signals:
- Blue Triangle Up (↑): 6 EMA crosses ABOVE 20 EMA (Bullish signal)
- Pink Triangle Down (↓): 6 EMA crosses BELOW 20 EMA (Bearish signal)
✨ KEY FEATURES
✓ Clean arrow markers appear only at crossover moments
✓ No lag - signals appear in real-time as crossovers occur
✓ Works on ANY timeframe (1min, 5min, 1H, daily, etc.)
✓ Non-intrusive - arrows don't clutter your chart
✓ Perfect for swing trading and trend following
✓ Zero configuration required
⚙️ TECHNICAL DETAILS
- 6 EMA: Fast-moving average for quick trend detection
- 20 EMA: Slower average providing trend confirmation
- Crossover detection uses Pine Script's built-in ta.crossover/crossunder functions
- No repainting - signals are final once the bar closes
Market Breadth MomentumThe indicator operates by fetching data from external tickers (usually market internal symbols like ATHI and ATLO) and processing them through a momentum filter. It aims to identify "breadth thrusts" or exhaustion points before they become obvious on a standard price chart.
Key ComponentsCustom Data Inputs: By default, it uses New Highs and New Lows tickers. You can toggle between calculating the Net difference (Highs minus Lows) or a Ratio (Highs divided by Lows).
Dual Mode Logic:Raw Mode: Visualizes the raw spread between highs and lows.Momentum Mode: Applies a McClellan-style calculation (Fast EMA minus Slow EMA) to show the rate of change in market breadth.Signal Line: Includes a 9-period EMA (Signal Line) to help identify trend shifts and provide crossover alerts.
Visual InterpretationThe indicator is displayed in a separate pane below the price chart:ElementDescription
Teal ColumnsIndicate that the breadth momentum is increasing (bullish divergence or strengthening trend).
Maroon Columns Indicate that the breadth momentum is decreasing (bearish divergence or weakening trend).Orange LineThe Signal Line; used to smooth out noise and provide entry/exit triggers.Zero LineThe "neutral" mark. Values above zero generally suggest bullish internal health; values below suggest bearish.
Identifying Divergences
If the S&P 500 is making new price highs, but the Breadth Momentum histogram is making lower highs, it suggests the rally is losing participation. This is often a precursor to a market correction.
Momentum Crossovers
A common signal is the "Signal Line Cross." When the columns cross above the orange Signal Line, it indicates a short-term surge in market participation (a "Thrust").
Mean Reversion
Extreme extensions away from the Zero Line (either positive or negative) can signal that the market is overbought or oversold on an internal level, regardless of what the price action looks like.
Settings & Inputs
New Highs/Lows Ticker: Ensure these match the symbols provided by your broker (e.g., HI_NY or ATHI).
Fast/Slow EMA: Standard settings are 19 and 39 (McClellan defaults), but these can be tightened for faster scalping or widened for long-term trend following.
Show Momentum: Toggle this off if you simply want to see the raw "Net Highs" data without the EMA smoothing.
Dynamic Gann Fan & Cycle - Lite FrameworkFree Lite edition of a Gann-inspired structure framework.
Plots pivot-based Gann fan angles to visualize potential support/resistance “rails,” and highlights momentum regimes when price rides key angles (2x1 / 3x1).
This is not a buy/sell signal tool — it’s designed to provide chart context for discretionary traders studying structure.
MACD-V (Volatility Normalized MACD)Award-Winning Momentum Indicator by Alex Spiroglou (CMT Charles Dao Award & NAAIM Founders Award, 2022)
The classic MACD has powered trading decisions for decades, but it suffers from five major limitations that undermine consistency:
1- Readings are not comparable over time (absolute price dependency causes massive scale differences across decades)
2- Not comparable across markets or assets (e.g., stocks vs. forex vs. crypto)
3- No universal overbought/oversold levels
4- Excessive whipsaws in low-momentum/range-bound conditions
5- Lagging signals in high-momentum reversals (e.g., missing big chunks of V-shaped recoveries)
MACD-V solves all five issues by normalizing momentum against volatility instead of price.
Core Formula
MACD-V = (EMA(12) - EMA(26)) / ATR(26) × 100
This expresses momentum in units of Average True Range (ATR), creating a volatility-adjusted oscillator that remains mathematically meaningful and comparable:
-Analysts can use MACD-V across any timeframe:
-Across any asset class (stocks, forex, commodities, bonds, crypto)
-Over decades of history
Key Features & Benefits
Time-stable & cross-market comparable: A +100 reading today has the same meaning as +100 in the past years, regardless of asset or price level.
Universal extremes: ±150 captures ~95% of all readings across markets → extreme/stretched momentum.
Momentum Lifecycle Roadmap (objective framework):
+150 or < -150: Extreme / overstretched (high reversal risk)
+50 to +150 or -50 to -150: Strong directional momentum (rallying, retracing, rebounding, reversing)
-50 to +50: Neutral / low momentum / ranging (avoid most signals — high whipsaw zone)
Range Rules for regime context: In bullish regimes (price > 200 EMA), -50 to -150 becomes the practical oversold zone; readings below -100 are rare and often powerful buy setups. Opposite in bearish regimes.
Improved signal quality: Filter whipsaws in neutral zone, anticipate lag in extremes, prioritize high-probability crosses in strong-momentum bands.
MACD-V Histogram (MACD-VH): Normalized short-term momentum with extremes at ±40 for fast reversal detection.
Backtesting & strategy-friendly: Enables reliable historical analysis, cross-asset relative strength, and systematic rules
MACD-V transforms momentum from subjective art into objective, repeatable science — giving you consistent, actionable insights no matter what you're trading.
Use it standalone or layer with trend filters (e.g., 200 EMA), volume, or price action for even stronger edges.
Developer: Alex Spiroglou
Open-source versions inspired by his work — feel free to fork and improve!
Happy trading! 🚀
Anchor Pulse WaveAnchor Pulse Wave – Median Anchor Overlay (MAO) with Real Deviation Strength (RDS) Confluence built-in.
This overlay companion to the Median Anchor Oscillator (MAO) brings mean-reversion gravity to life. It plots the rolling median as a customizable anchor line, surrounded by translucent, one-sided pulse bands that "breathe" based on Real Deviation Strength (RDS) – smoothed absolute deviation intensity.
"Possibly the simplest yet most robust open-source overlay for mean-reversion — median gravity + real deviation strength pulsing in real time."
Core Visuals:
• Median Anchor Line – dynamic fair-value centerline (custom color)
• Pulse Wave Bands – translucent fill (custom color & base transparency) thickens/opaques on strong deviation (high RDS), thins/fades on strength crack → intuitive "highlight" for conviction shifts
• One-sided design: upper band for positive stretches, lower for negative
Signals & Confluence:
• Exhaustion arrows/labels (Bull Exh ↑ Long / Bear Exh ↓ Short) only fire on pivot + RDS strength crack → cleaner, high-quality signals
• Re-Entry labels flag gravity pullback zones
• Best used with MAO subchart: confirm highlights with divergence (e.g., MAO higher lows on price lower lows for bullish setups)
Built-in Alerts:
• Strong Bull Exh (Long) – crack + pivot (low-risk long)
• Strong Bear Exh (Short) – crack + pivot (low-risk short)
• Re-Entry Alert – gravity reversal in play
• Band Highlight – strength building fast (deviation conviction rising)
How to Trade:
1. Watch for band highlights (hue/thickness change – strength peaking/cracking)
2. Confirm with MAO divergence / threshold cross
3. Enter on confluence → hold through solid phases, exit on opposite re-entry
Why this works: Pure median + MAD math (outlier-resistant), RDS adds real strength filtering without extra panes. Low-risk mean-reversion edge when layers align.
Got RSI or MACD for divergence? those work alright too!
Open-source Pine v6. Feedback welcome – refinements appreciated!
© RU55IANROUL3TT3 – Personal use & modification OK, credit appreciated if shared.
Links for MAO + RDS
RSI with Bullish/ Bearish Zones by VKKDisclaimer: Script is not suggesting any buy or sell any stock. It's a visual identification of the direction of the current state of the stock.
This script is a modified Relative Strength Index (RSI) designed to help traders filter out market noise by identifying three distinct momentum phases. Instead of the traditional 70/30 approach, this version uses the 40 and 60 levels to define a "Neutral/Caution" zone.
Key Features:
🟢 Bullish Zone (Above 60): Indicates strong upward momentum. The RSI line turns green, signaling a potential trend continuation.
🟠 Caution Zone (40–60): A neutral "no-man's land" where the market is often consolidating or undecided. The line turns orange, warning traders to be patient.
🔴 Bearish Zone (Below 40): Indicates strong downward momentum. The RSI line turns red, signaling a potential downtrend.
⚖️ Midline (50): A blue or your color choice dotted line acts as the ultimate pivot point between buyers and sellers.
🔥 Extremes (70/30): Classic Overbought (Red) and Oversold (Green) levels are included for mean-reversion context.
How to Use:
Trend Confirmation: Look for the RSI to sustain a position above 60 for longs or below 40 for shorts.
Filter Noise: Avoid entering aggressive trend trades when the RSI is stuck in the Orange Caution Zone.
Real-time Status: The dynamic label on the right provides an instant reading of the current market state and exact RSI value.
Momentium Tracker with Noiuse filtersynthetic baskets scored against a rolling baseline. Can use it to track momentium up to the minute without noise from session open sor historic session impulses
Pro RSI Mean-Deviation Sigmoid Oscillator (Z-Score Normalized)# Pro RSI Mean-Deviation Sigmoid Oscillator (Z-Score Normalized)
## 🧮 Core Mathematical Concept
**The Key Formula**: This indicator subtracts RSI's own EMA from the RSI value, divides the result by its standard deviation to create a Z-score, then applies sigmoid normalization to map it into a 0-1 range (displayed as 0-100).
**In Simple Terms**:
```
Z-Score = (RSI - RSI_EMA) / Standard_Deviation
Sigmoid = 1 / (1 + e^(-k × Z-Score))
Final Output = Sigmoid × 100
```
This mathematical approach transforms raw RSI momentum into a statistically normalized oscillator that better identifies genuine trend changes while filtering out noise.
---
## 📊 What This Indicator Does
This advanced momentum oscillator combines RSI analysis with statistical normalization to identify overbought/oversold conditions and momentum shifts with greater precision than traditional RSI alone.
**Core Innovation**: Uses Z-score normalization and sigmoid transformation to convert RSI deviations into a smooth 0-100 scale, reducing noise while maintaining sensitivity to genuine market movements.
---
## 🔧 How It Works
### 1. **RSI Foundation**
- Calculates standard RSI over your chosen period (default: 14)
- Applies an EMA smoothing line to identify the RSI trend
### 2. **Statistical Normalization**
- Measures deviation between RSI and its EMA
- Calculates Z-score (standard deviations from mean)
- Normalizes extreme values while preserving relative strength
### 3. **Sigmoid Transformation**
- Maps Z-scores to a 0-100 scale using sigmoid function
- Creates smooth transitions between bullish/bearish zones
- Reduces false signals from RSI whipsaws
### 4. **RSI Bollinger Bands**
- Adds dynamic overbought/oversold bands around RSI
- Adapts to market volatility automatically
- Confirms extreme conditions when RSI breaches bands
### 5. **Momentum Histogram**
- Visualizes rate of change in normalized momentum
- Green bars = strengthening bullish momentum
- Red bars = strengthening bearish momentum
---
## 📈 How to Use
### **Primary Signals**
**Sigmoid Oscillator (Thick Line)**
- **Above 50** = Bullish momentum dominant
- **Below 50** = Bearish momentum dominant
- **Crossing 50** = Potential trend change
**Extreme Zones**
- **Above 70** = Overbought (green background) - Consider taking profits or preparing for reversal
- **Below 30** = Oversold (red background) - Watch for potential bounce or reversal
### **Confirmation Signals**
**RSI Bollinger Band Breaches** (Purple background)
- RSI above upper band = Extremely overbought
- RSI below lower band = Extremely oversold
- Strong confirmation when paired with sigmoid extremes
**RSI vs RSI EMA Crossovers**
- Purple line (RSI) crossing above orange line (EMA) = Early bullish signal
- Purple line crossing below orange line = Early bearish signal
**Momentum Histogram**
- Growing green bars = Accelerating bullish momentum
- Growing red bars = Accelerating bearish momentum
- Shrinking bars = Momentum weakening (potential reversal warning)
---
## ⚙️ Parameter Settings
### **RSI Period** (Default: 14)
- Lower (7-10) = More responsive, more signals
- Higher (20-30) = Smoother, fewer false signals
- Recommended: Keep at 14 for most timeframes
### **RSI EMA Period** (Default: 14)
- Controls smoothness of RSI trend line
- Match to RSI period for standard behavior
- Increase for longer-term trend identification
### **Standard Deviation Period** (Default: 20)
- Lookback window for Z-score calculation
- Lower = More sensitive to recent changes
- Higher = More stable, slower to react
### **Sigmoid Sensitivity (k)** (Default: 1.0)
- **0.5-0.8** = Smoother, less extreme readings
- **1.0-1.5** = Balanced sensitivity
- **2.0+** = More aggressive, reaches extremes faster
- Adjust based on asset volatility
### **Bollinger Band Multiplier** (Default: 2.0)
- Standard deviation multiplier for RSI bands
- **1.5** = Tighter bands, more frequent signals
- **2.5-3.0** = Wider bands, only extreme moves
---
## 💡 Trading Strategies
### **Strategy 1: Momentum Continuation**
1. Wait for sigmoid to break and hold above 70 (bullish) or below 30 (bearish)
2. Confirm with growing momentum histogram in same direction
3. Enter in direction of momentum when RSI breaks Bollinger bands
4. Ride the trend until sigmoid crosses back through 50 or momentum histogram shrinks
5. This indicator excels at catching strong, sustainable momentum moves
### **Strategy 2: Momentum Breakout**
1. Identify sigmoid consolidation near 50
2. Watch for strong break above 70 or below 30
3. Confirm with growing momentum histogram
4. Enter in direction of break, exit when momentum weakens
### **Strategy 3: Divergence Detection**
1. Compare price action to sigmoid oscillator
2. Bullish divergence: Price makes lower low, sigmoid makes higher low
3. Bearish divergence: Price makes higher high, sigmoid makes lower high
4. Enter when sigmoid confirms with 50-line cross
### **Strategy 4: Multi-Timeframe Confluence**
1. Use on higher timeframe (4H/Daily) for trend direction
2. Use on lower timeframe (15M/1H) for entry timing
3. Only take trades when both timeframes align
4. Increases win rate significantly
---
## ⚠️ What to Watch For
### **Best Conditions**
- ✅ Trending markets with clear momentum
- ✅ Assets with decent volatility (not too choppy)
- ✅ When multiple signals align (sigmoid + bands + histogram)
- ✅ Confirmed with price action or volume
### **Difficult Conditions**
- ❌ Sideways, choppy markets (generates false signals)
- ❌ Low volatility periods (sigmoid may not reach extremes)
- ❌ Major news events (can cause extreme whipsaws)
- ❌ Very low timeframes (<5min) - too much noise
### **Common Pitfalls**
- Don't trade sigmoid extremes blindly - wait for reversal confirmation
- Don't ignore the momentum histogram - it shows strength of moves
- Don't use in isolation - combine with support/resistance, volume, etc.
- Don't over-optimize parameters - default settings work well for most assets
---
## 📋 Risk Disclaimers
**IMPORTANT:** This indicator is for educational purposes only and is NOT financial advice. All trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management, backtest thoroughly, and consult a licensed financial advisor before making trading decisions. The creator assumes no liability for your trading results. **Trade at your own risk.**
---
## 🔍 Additional Considerations
### **Combine With:**
- Support and resistance levels
- Volume analysis
- Trend indicators (moving averages)
- Price action patterns
- Market structure analysis
### **Timeframe Recommendations:**
- **Scalping (1-5min)**: Lower RSI period (7-10), higher sigmoid sensitivity
- **Day Trading (15min-1H)**: Default settings work well
- **Swing Trading (4H-Daily)**: Increase all periods by 50-100%
- **Position Trading (Weekly)**: Double all default periods
### **Asset-Specific Tips:**
- **Crypto**: Often more volatile - consider k=0.8 for smoother signals
- **Forex**: Works well on major pairs with default settings
- **Stocks**: May need slight adjustments per stock volatility
- **Indices**: Very effective with standard parameters
---
## 📝 Credits & Sharing
Feel free to share this indicator! If you make modifications or improvements, consider sharing back with the community.
**Version**: 5
**Created for**: TradingView Pine Script
**Category**: Oscillators / Momentum
---
*Happy Trading! Remember: The best indicator is the one between your ears. Always think critically and trade responsibly.* 📊✨
GCM Kinetic Flux SpectrumTitle: GCM Kinetic Flux Spectrum
DESCRIPTION
The GCM Kinetic Flux Spectrum is an institutional-grade hybrid momentum and volume engine. Unlike standard oscillators that rely on closing prices, the GCM KFS synthesizes dual-source RSI volatility with Volume Flow Intensity (VFI) to reveal the hidden kinetic energy of market movements.
By projecting a 27-layer "Spectrum Ribbon" and a multi-dimensional Divergence Engine, the GCM KFS identifies not just where the price is heading, but the quality and "fuel" behind the trend.
CORE ARCHITECTURE
1) The Kinetic Mean (Dual-Source RSI)
Standard RSI often ignores the battle occurring at the wicks. The GCM KFS calculates independent RSI streams for Highs and Lows, then anchors them to a Zero-Centered baseline (-50 to +50). The resulting Kinetic Mean filters out retail noise, providing a volatility-adjusted perspective on momentum.
2) Volume Flux Integration (VFI)
Volume precedes price. The GCM KFS integrates a highly responsive, EMA-smoothed Volume Flow Indicator (VFI). By syncing VFI length with the RSI cycle, the indicator cross-verifies price strength with capital flow.
• Momentum + Positive Flux: Confirms high-conviction trends.
• Momentum + Negative Flux: Reveals "Empty" breakouts or institutional distribution.
3) 27-Layer Spectrum Ribbon
The gradient fill isn't just aesthetic—it represents Volatility Density.
• Expansion: When ribbons fan out, it signals a high-velocity trend.
• Compression (The Squeeze): When ribbons pinch toward the Kinetic Mean, it signals a volatility contraction, typically the precursor to an explosive breakout.
4) Four-Way Divergence Engine
The KFS automatically detects and projects four types of divergence on both the indicator pane and the main price chart:
• Regular Bullish/Bearish: Identifying high-probability trend reversals.
• Hidden Bullish/Bearish: Identifying trend continuation (Smart Money re-entry points).
KEY POWER FEATURES
• Zero-Centered Logic: Levels are shifted for better visual balance. (OB: +20, Extreme OB: +30 | OS: -20, Extreme OS: -30).
• Dynamic Zones: Subtle background fills highlight "Extreme" areas where price is statistically likely to mean-revert.
• Main Chart Projection: Use the force_overlay feature to keep your eyes on price action while the indicator confirms entries.
• Institutional Dotted VFI: The orange dotted line acts as the "Anchor"—if price rises but the VFI Anchor stays below zero, the move lacks professional backing.
HOW TO TRADE WITH GCM-KFS
• The Reversal Sniper: Look for an R-BULL or R-BEAR label appearing inside the Extreme Zone (±30). This indicates momentum exhaustion backed by a volume shift.
• Trend Riding: During an uptrend, look for H-BULL (Hidden Bullish) labels. This signals that institutions are "buying the dip" while momentum resets.
• Volatility Breakouts: When the Spectrum Ribbon enters a tight "squeeze" near the Zero Line, prepare for a major move. Follow the direction of the first ribbon expansion.
RECOMMENDED SETTINGS
• Scalping (1m - 5m): Length 7 - 9
• Day Trading (15m - 1H): Length 10 - 14
• Swing Trading (4H - Daily): Length 20+
AUTHOR’S NOTE
This script is part of the GCM suite of professional tools. It is designed to be a "confluence engine"—it works best when used to confirm price action levels, supply/demand zones, or order blocks. Always trade with a plan and managed risk.
Real Deviation Strength (RDS) [ALPHA]Real Deviation Strength (RDS) – The mirror-image twin to Median Anchor Oscillator.
Same battle-tested foundation: rolling median + Median Absolute Deviation (MAD) scaling = a super-robust deviation measure that laughs at outliers (way tougher than classic mean/std-dev oscillators).
The fun part: we flipped the visuals so deviation becomes “strength.”
- Histogram inverted + fresh palette: magenta (#aa3bf5) bars shooting up for positive deviation strength (big stretch = caution or conviction?), cyan (#00f7ff) dropping down for negative (pullback energy = bounce setup?).
- Adjustable Strength Sweet Spots at ±2.5 (tweak to taste).
- Optional yellow fill zones for that high-octane “something’s cooking” vibe.
- Scales beautifully on wild charts—crypto, stocks, whatever throws spikes.
Where Median Anchor says “Whoa, too far—revert!”, RDS goes “Damn, that stretch has legs—respect the power.” Perfect for momentum hunters, contrarian plays, or just geeking out on the opposite lens.
Still very much ALPHA—early days, room to grow. Feel free to leave feedback in the comments:
- Colors popping right?
- Alerts on sweet-spot exits next?
- Add divergence next?
- What’s it crushing (or failing) on your favorite ticker?
Using this side-by-side with MAO? The magenta/cyan combo keeps them visually distinct—no chart confusion.
Hero version here: Median Anchor Oscillator →
Open-source. Let’s build this thing together. Cheers to the flipside 🍻
RSI [Hash Capital Research]RSI is a visually enhanced momentum indicator built on the classic Relative Strength Index.
This version expands RSI into a more flexible analytical tool through smoothing options, adaptive zone-based coloring, optional signal line overlays, and divergence detection.
It is designed as a context-building indicator, not a standalone entry system.
What This Indicator Does
This script calculates a smoothed RSI using user-defined parameters and then provides multiple optional enhancements:
1. Adaptive RSI Visualization
The core RSI is plotted with:
Zone-based color changes (neutral, oversold, overbought)
Optional glow effects to emphasize extreme conditions
User-defined color intensity and midline visibility
The goal is to provide clearer visual segmentation of trend strength and momentum behavior.
2. Custom Smoothing & Signal Line Options
The indicator allows:
Multi-layer smoothing for RSI stability
An optional signal line using the trader’s preferred moving-average method (SMA, EMA, SMMA/RMA, WMA, VWMA)
This helps operators examine whether momentum is accelerating or stabilizing relative to its mean.
3. Overbought/Oversold Tools
User-defined thresholds determine:
Highlighted zones
Optional markers for extreme reversals (based on RSI + momentum + velocity criteria)
Midline (50) cross highlights for trend-bias transitions
These features help contextualize where the RSI sits relative to broader momentum regimes.
4. Divergence Detection (Optional)
When enabled, the script scans for regular bullish and bearish divergences using pivot-based structure.
It compares:
Price making lower lows vs RSI making higher lows (bullish)
Price making higher highs vs RSI making lower highs (bearish)
Detected divergences are plotted on the RSI panel with visual labels.
This detection uses pivot lookbacks and range limits defined by the user.
5. Alerts
The indicator provides optional alerts for:
Extreme reversals
Overbought/oversold momentum shifts
Midline (50) crossovers
Bullish / bearish divergences
Alerts are intended for monitoring, not for automated execution.
How to Use It
This RSI modification is intended to support broader analysis workflows, including:
Identifying regime shifts using midline crosses
Monitoring momentum structure across trend phases
Highlighting oversold or overbought clustering
Adding a visual signal line to interpret momentum smoothing
Spotting divergence between price and RSI
As with all indicators, this tool should be used as one component of a complete analysis framework.
What Makes This Version Distinct
This script maintains the core behavior of RSI but introduces:
A multi-layer smoothing system
Adaptive colors calibrated to oversold/neutral/overbought zones
Optional glow visualizations
A modular signal-line engine with multiple MA types
Configurable divergence detection with visual labels
Multiple marker placement modes for extreme conditions
These features expand RSI’s readability while keeping its underlying logic transparent and consistent with common operator workflows.
Important Notes
This is an indicator, not a strategy. It does not execute trades or calculate performance metrics.
The visual enhancements are designed to improve clarity, not to generate automated “buy” or “sell” systems.
Divergence detection is optional because divergence is inherently contextual and may not apply equally across all markets or timeframes.
RSI Sigmoid (Saturation)# 📊 RSI Sigmoid (Saturation) Indicator
---
## 🎯 What Does This Indicator Do?
This indicator transforms the traditional **RSI (Relative Strength Index)** using a **sigmoid function**, creating a mathematically "saturated" version that provides smoother, more controlled momentum signals.
---
## ✨ Key Features
### 🌊 **Saturation Effect**
Unlike standard RSI which oscillates wildly between 0-100, this version uses a **hyperbolic tangent function** to compress extreme values:
- 🔴 **Extreme readings** (very high/low) are dampened → pushed toward saturation zones (10 & 90)
- 🟡 **Middle range** (30-70) remains responsive and dynamic
- 🟢 **Sharp spikes** are smoothed while maintaining trend direction
### 👁️ **Dual Visualization**
- **🔵 Blue Line**: RSI Sigmoid (Saturated) - Your primary signal
- **🟠 Orange Circles**: Traditional RSI - For comparison
- **🟣 Purple Area**: Difference plot showing transformation intensity
### 🎯 **Smart Signals**
- **▲ Green Triangle**: Buy Signal when RSI Sigmoid crosses **above 50**
- **▼ Red Triangle**: Sell Signal when RSI Sigmoid crosses **below 50**
- **🎨 Background Colors**: Highlight oversold, overbought, and saturation zones
---
## ⚙️ How to Use
### 📐 **RSI Period** (Default: 50)
```
Higher Values (70-100) → Smoother, slower, fewer signals
Lower Values (14-30) → More responsive, more signals, noisier
```
### 🎚️ **Sigmoid Coefficient** (Default: 0.5)
```
Low (0.1-0.2) → Gentle saturation, closer to standard RSI
Medium (0.25) → Balanced transformation
High (0.3-0.5) → Aggressive saturation, strong dampening
```
### 📍 **Oversold/Overbought Levels**
Customize based on your:
- Trading timeframe (1m, 5m, 1h, 1D, etc.)
- Asset volatility
- Trading style (scalping, swing, position)
---
## 🔍 What to Watch For
| Signal | Meaning | Action |
|--------|---------|--------|
| 🟢 **Cross Above 50** | Bullish momentum shift | Consider long positions |
| 🔴 **Cross Below 50** | Bearish momentum shift | Consider short positions |
| ⚡ **Saturation < 10** | Extreme oversold | Potential reversal up |
| 🔥 **Saturation > 90** | Extreme overbought | Potential reversal down |
| 🟣 **Large Difference** | High transformation intensity | Strong momentum dampening |
---
## 💡 Trading Tips
✅ **DO:**
- Use multiple timeframes for confirmation
- Combine with support/resistance levels
- Apply proper risk management (stop-loss, position sizing)
- Backtest settings on your specific asset
- Watch for divergences between price and indicator
❌ **DON'T:**
- Rely solely on this indicator
- Ignore market context and fundamentals
- Over-leverage based on signals
- Use default settings without testing
- Trade without a clear strategy
---
## ⚠️ IMPORTANT DISCLAIMERS
### 🚨 **NOT Financial Advice**
This indicator is provided for **educational and informational purposes only**. It does not constitute financial, investment, or trading advice.
### 🛡️ **Risk Warning**
- ❌ **No guarantee of profits** - Past performance ≠ future results
- ❌ **Do not rely on this alone** - Always use multiple analysis methods
- ❌ **Markets are unpredictable** - No indicator can predict with certainty
- ❌ **You can lose money** - Never risk more than you can afford to lose
### 🎛️ **Customization Required**
All settings are **user-configurable** for a reason:
- Default values may NOT suit your strategy
- Different assets require different parameters
- Always backtest before live trading
- Adjust based on your timeframe and risk tolerance
### 📜 **Your Responsibility**
- ✓ You are responsible for your own trading decisions
- ✓ Always do your own research (DYOR)
- ✓ Understand the risks before trading
- ✓ Consider consulting a licensed financial advisor
---
## 📋 Quick Settings Guide
| Trading Style | RSI Period | Sigmoid K | Notes |
|---------------|------------|-----------|-------|
| **Scalping** | 14-21 | 0.3-0.4 | Fast signals, higher noise |
| **Day Trading** | 30-50 | 0.4-0.5 | Balanced responsiveness |
| **Swing Trading** | 50-70 | 0.5 | Smoother, fewer false signals |
| **Position Trading** | 70-100 | 0.5 | Very smooth, major trends only |
---
## 🏷️ License & Liability
**Use at your own risk.** The creator assumes **no liability** for any trading losses, damages, or consequences resulting from the use of this indicator.
---
### 🤝 Happy Trading & Stay Safe! 📈
*Remember: The best indicator is your own knowledge and discipline.*
Momentum Scanner: Low Float + Volume Spike + 3 Green CandlesScanner for low-float stocks with volume spikes and 3 consecutive bullish candles
Institutional Volatility Expansion & Liquidity Thresholds (IVEL)Overview
The IVEL Engine is an institutional-grade volatility modeling tool designed to identify the mathematical boundaries of price delivery. Unlike retail oscillators that use fixed scales, this script utilizes dynamic ATR-based multiples to map Institutional Premium and Discount zones in real-time.
How to Use
To maximize the effectiveness of the IVEL Engine, traders should focus on Price Delivery at the extreme thresholds:
Identifying Institutional Premium (Short Setup) : When price expands into the Upper Red Zone, it has reached a mathematical exhaustion point. Seek short-side entries when price shows signs of rejection from this level back toward the Fair Value Baseline.
Identifying Institutional Discount (Long Setup) : When price reaches the Lower Green Zone, it is considered "cheap" by institutional algorithms. Look for long-side absorption or accumulation patterns within this zone.
Mean Reversion Targets: The Fair Value Baseline (Center Line) acts as the primary magnetic target. Successful trades taken at the outer thresholds should use the baseline as the first objective for profit-taking.
Alerts & Execution Strategy
The IVEL Engine is designed for automated monitoring so you don't have to watch the screen 24/7. To set up your execution workflow:
Set the Alert : Right-click the indicator and select "Add Alert." Set the condition to "Price Crossing Institutional Premium" (Upper Red) or "Price Crossing Institutional Discount" (Lower Green).
Wait for the Hit : Do not market-enter as soon as the alert fires. The alert tells you price has entered a High-Probability Liquidity Zone.
Confirm the Rejection : Once alerted, drop down to a lower timeframe (e.g., 5m or 15m) and look for a "Shift in Market Structure" or an SMT Divergence.
Execute : Enter once the rejection is confirmed, targeting the Fair Value Baseline as your primary TP1.
Methodology
The script anchors to an EMA-based baseline and projects expansion bands that adapt to current market conditions.
Value Area : The blue inner region where the majority of trading volume occurs.
Liquidity Exhaustion : The red and green outer regions where the probability of "Smart Money" reversal is highest.
RADAR_V67_TESTThis V67 indicator is a comprehensive trend-following strategy designed to filter out market noise and identify high-probability entries in the cryptocurrency market.
The system is built on three major technical pillars:
Hull Moving Average (HMA): Provides superior reactivity to trend reversals compared to standard moving averages.
Supertrend: Acts as a primary trend filter to ensure we only trade in a confirmed bullish environment.
Volume Analysis (POC): The script identifies the Point of Control (POC) to ensure that buy signals occur above institutional congestion zones.
The buy signal (Screener_Signal = 1) is triggered only when the price crosses above the Hull MA while remaining above the Supertrend and the volume POC. This is a robust tool for both swing trading and day trading, focusing on momentum and institutional support.
Le Supertrend : Il sert de filtre de sécurité pour s'assurer que nous sommes dans une dynamique haussière confirmée.
L'analyse du Volume (POC) : Le script identifie le prix où le volume a été le plus important (Point of Control) pour s'assurer que l'achat se fait au-dessus des zones de congestion institutionnelles.
Le signal d'achat (Screener_Signal = 1) est déclenché uniquement lorsque le prix croise la Hull MA à la hausse, tout en restant au-dessus du Supertrend et du POC de volume. C'est un outil robuste pour le swing trading et le day trading.
Manus Forex Alpha Pro Indicator (Trend-Momentum Hybrid)ใช้ AI Manus ช่วยผสมผสานให้ ใช้งานง่ายดี
น่าจะไม่ต้องอธิบายนะครับ เพราะเป็นพื้นฐานการใช้งาน
เพียงแต่มี แดชบอร์ด ช่วยให้อ่านง่ายขึ้น
การลงทุนมีความเสี่ยง ไม่มีเครื่องมือใดคาดการณ์ถูกต้อง 100%
เรียนรู้ ฝึกฝน มีวินัย ควบคุมความเสี่ยง ด้วยตนเอง
Using AI Manus helps integrate it, making it easy to use.
I don't think I need to explain this, as it's basic usage.
The dashboard simply makes it easier to read.
Investing involves risk; no tool is 100% accurate.
Learn, practice, be disciplined, and manage your own risk.
Blockcircle FTR - Follow Through ReversalWHAT THIS INDICATOR DOES
Blockcircle FTR identifies failed directional moves followed by quality reversals. The indicator tracks structural pivot levels, monitors price interactions with those levels, and validates reversal sequences against a configurable threshold.
A trend filter provides macro context so you can evaluate whether signals align with or oppose the broader direction.
KEY FEATURES
Reversal quality filtering via delivery threshold requirement
Sweep confirmation when reversals follow liquidity grabs at structural levels
ATR-adaptive origin zones marking reversal starting points
Trend alignment indicator comparing signal bias to moving average direction
Volume validation filter for participation confirmation
Real-time dashboard with signal statistics and alignment status
DETAILED BREAKDOWN
Structural Level Tracking
The indicator identifies pivot highs and lows based on the Structure Lookback parameter. These pivots serve as reference levels where liquidity typically accumulates. Levels remain active until price interacts with them or they exceed the Level Lifespan setting.
When the price reaches a structural level, this interaction is logged. If a reversal then forms in the opposite direction within the Sweep Window, the signal qualifies as sweep-confirmed, indicating that stops were likely triggered before the move reversed.
FTR Detection Logic
The core detection looks for a specific sequence: a directional attempt that fails to follow through, followed by a counter-move that meets the Delivery Threshold ratio. This ratio measures the quality of the reversal relative to the failed move's structure.
Higher threshold values (closer to 1.0) require cleaner, more convincing reversals. Lower values (closer to 0.1) allow weaker setups through. The default of 0.7 provides reasonable filtering without being overly restrictive.
Trend Context Filter
A moving average (EMA or SMA, configurable period) provides simple trend context. The dashboard displays three related metrics:
Trend: Current price position relative to the MA (Bullish/Bearish)
FTR Bias: Direction of the most recent confirmed signal (Long/Short)
Aligned: Whether these two readings match (Yes/No)
This helps identify situations where the FTR bias has become stale or is positioned against the prevailing trend.
Signal Classification
Standard signals appear as small triangles and represent FTR patterns that passed the delivery threshold and any active filters.
Sweep-confirmed signals appear with an "S" label and represent the subset of signals where price swept a structural level shortly before the reversal formed. These carry higher conviction due to the additional liquidity context.
Dashboard Metrics
The information panel provides:
Current trend direction and FTR bias
Alignment status between the two
Bars elapsed since the last signal
Running totals for long and short signals
Sweep-confirmed counts in parentheses
Volume filter status
Configuration Parameters
Structure Lookback: Bars used for pivot detection. Higher values capture more significant swings.
Delivery Threshold: Minimum ratio for valid reversals. Range 0.1 to 1.0.
Level Lifespan: The maximum bars a structural level remains active.
Sweep Window: Lookback period for sweep confirmation.
Trend MA Period: Moving average length for trend context.
Volume Spike Multiple: Required volume ratio when volume filter is active.
Zone Depth: Origin zone width as ATR multiple.
Practical Application
Sweep-confirmed signals with trend alignment represent the highest-conviction setups. These combine a quality reversal pattern, liquidity sweep context, and trend support.
Standard signals without sweep confirmation remain valid FTR patterns but warrant additional discretion.
Counter-trend signals (Aligned showing NO) can still produce valid moves, but historically carry lower probability. Consider position sizing adjustments accordingly.
Origin zones serve as potential support/resistance areas for subsequent price returns.
Important Limitations
The indicator may remain biased in the wrong direction during extended trends if no qualifying reversal pattern forms. The trend filter helps identify these situations, but does not automatically override the FTR bias.
Signal counts are calculated on visible chart history and will vary based on the loaded timeframe and bar count.
As with any technical tool, signals should be evaluated within the broader market context rather than traded mechanically.
Hope you find it useful! If you have any questions, please don't hesitate to ask them!
OI: Simple BandOI: Simple Band (Open Source)
OI: Simple Band is a very simple, open-source overlay that draws a two-line moving-average band and fills the space between them to highlight trend bias and momentum shifts at a glance.
What it plots
EMA (Exponential Moving Average) using the selected length
SMMA (Smoothed Moving Average) using the same length
A ribbon fill between the two:
Green when EMA > SMMA (bullish bias)
Red when EMA < SMMA (bearish bias)
Why use two different MAs with the same length?
Even with the same length, these two averages react differently:
EMA weights recent prices more heavily, so it responds faster to changes.
SMMA is designed to be steadier and slower, filtering more noise.
Using the same length keeps the comparison fair (same smoothing window) while still giving you a “fast vs slow response” relationship. The distance and relationship between them becomes a simple way to see:
Momentum / pressure: When EMA pulls away from SMMA, price is moving with enough force to overcome smoothing.
Compression: When they converge, momentum is fading and conditions often look more “balanced.”
State changes: Crossovers flip the ribbon colour and can be used as a context shift (trend/bias filter), not a standalone entry/exit rule.
Inputs
Moving average band (length): Controls both EMA and SMMA smoothing.
SMMA Source: Chooses the data used for the SMMA calculation (EMA is calculated on close).
Notes
This is intentionally minimal: no higher-timeframe requests, no security() calls, no signals — just a clean visual band.
Like all moving averages, it updates on the live candle and will settle on bar close.
Adaptive Momentum Contextdaptive Momentum Context (AMC)
Adaptive Momentum Context (AMC) is a single-panel, overlay indicator designed to help traders read market context, momentum behavior, and volatility-driven rhythm in a structured and non-misleading way.
This indicator does not aim to predict future price movements. Instead, it focuses on describing current market conditions using adaptive smoothing and higher-timeframe bias.
Concept Overview
AMC is built around three core ideas:
Higher Timeframe Context (Bias)
Adaptive Market Rhythm
Momentum Behavior within Context
These components are combined to provide a clearer view of when momentum aligns with the broader market structure.
Higher Timeframe Bias
The indicator retrieves price data from a user-selected higher timeframe and compares it to a moving average on that timeframe.
When higher timeframe price is above its average, the background is shaded green.
When it is below, the background is shaded red.
This background does not generate signals.
Its purpose is to define directional context and reduce decision-making against dominant market conditions.
Adaptive Market Rhythm
Instead of using a fixed-length moving average, AMC calculates an adaptive smoothing length based on relative volatility.
When volatility expands, the smoothing period increases.
When volatility contracts, the smoothing period shortens.
Because Pine Script does not allow dynamic lengths in built-in moving averages, the adaptive line is calculated manually using a recursive EMA formula.
This ensures:
No repainting
No future data access
Full Pine Script v6 compliance
The adaptive line represents the current market rhythm, not a trend guarantee.
Momentum Behavior
Momentum is derived from changes in the adaptive rhythm rather than raw price.
Small visual markers appear when:
Momentum accelerates in the direction of the higher timeframe bias
Momentum decelerates against that bias
These markers are contextual cues, not standalone trade signals.
How to Use
AMC is best used as a context and filtering tool, not as a mechanical entry system.
Possible use cases:
Filtering lower-timeframe entries
Avoiding trades against higher-timeframe structure
Visualizing momentum shifts during pullbacks or continuations
Users are encouraged to combine this indicator with their own risk management and execution rules.
Important Notes
This indicator does not provide performance guarantees.
Past behavior does not imply future results.
No lookahead, no repainting, or non-standard chart types are used.
Default settings are intended for general use and may require adjustment depending on market and timeframe.
Momentum Indikator (Avg Volume)Momentum Indicator (Avg Volume)
1. Purpose of the Indicator
The WMT Momentum Indicator (Avg Volume) is designed to highlight strong price movements accompanied by increased trading volume.
It specifically filters for trading days where:
volume is increasing,
volume is above its average,
and the percentage price movement exceeds a defined threshold.
The goal is to identify momentum days early — both bullish and bearish.
2. Display & Visualization
Visualization: Histogram (columns)
Panel: Separate indicator window (overlay = false)
Y-Axis: Percentage price change compared to the previous close
Colors:
🟢 Green: Positive daily movement (Close ≥ Open)
🔴 Red: Negative daily movement (Close < Open)
Zero Line: Reference line separating positive and negative momentum
3. Input Parameters
Parameter Description Default
+/- Movement Threshold (%) Minimum absolute daily price movement in percent 4.0 %
Volume Average (Days) Period for the moving average of volume 20 days
4. Logic & Calculations
4.1 Volume Conditions
The indicator only considers days where:
Volume is higher than the previous day
volHigherPrev = volume > volume
Volume is above the moving average
avgVolume = ta.sma(volume, volLength)
volAboveAvg = volume > avgVolume
➡️ This ensures that only days with unusually high market participation are taken into account.
4.2 Price Movement
Percentage change vs. previous close
priceMovePct = (close - close ) / close * 100
Absolute movement
absMovePct = math.abs(priceMovePct)
Intraday direction
priceMoveDay = close - open
4.3 Direction Logic
Condition Meaning
priceMoveDay ≥ 0 Bullish day (green)
priceMoveDay < 0 Bearish day (red)
4.4 Main Condition (Signal Filter)
A bar is displayed only if all of the following conditions are met:
showBar =
volHigherPrev and
volAboveAvg and
absMovePct >= moveThreshold
➡️ Interpretation:
Only strong price movements with rising and above-average volume are visualized.
5. Color Logic
barColor =
showBar and volGreen ? color.green :
showBar and volRed ? color.red :
na
Color Meaning
Green Strong bullish momentum
Red Strong bearish momentum
No bar Conditions not met
6. Plot Description
Momentum Histogram
plot(
showBar ? priceMovePct : na,
style = plot.style_columns
)
Bars are plotted only when showBar = true
Bar height represents the percentage change vs. previous close
Direction and color indicate momentum direction
Zero Line
hline(0, "0-Line")
Visual separation between positive and negative momentum
Helps with quick interpretation
7. Typical Use Cases
Identifying breakout days
Confirming trend continuation
Detecting distribution or accumulation
Filtering for momentum trading & swing trading
Complementing price action or volume-based strategies
8. Practical Interpretation
Tall green bar:
→ Strong buying pressure, potential trend start or continuation
Tall red bar:
→ Strong selling pressure, possible trend exhaustion or short signal
No bars:
→ Market without relevant momentum (sideways / low volume)
Dual RSI Spread Strategy [Custom]
概述
这是一个综合性的动量交易工具，结合了双重 RSI 交叉系统与经典 RSI 背离检测功能。该指标旨在通过分析短期与长期动量的“剪刀差”来识别潜在的超买/超卖区域，并辅以顶底背离信号作为反转确认。
核心功能与逻辑
1. 双重 RSI 差值信号 (Dual RSI Spread) 该策略同时计算两条 RSI 曲线：
短周期 RSI (默认 13)：对价格变化反应灵敏。
长周期 RSI (默认 42)：代表长期趋势基准。
交易信号基于两条 RSI 的差值 (Spread) 生成，逻辑如下：
🟢 买入信号 (Buy)：当 长周期 RSI - 短周期 RSI > 20。这意味着短期动量严重低于长期基准，市场可能处于深度超卖状态，存在均值回归需求。
🔴 卖出信号 (Sell)：当 短周期 RSI - 长周期 RSI > 20。这意味着短期动量冲高过快，远超长期基准，市场可能过热。
2. RSI 顶底背离 (Divergence) 指标内置了经典的背离检测算法（可选择开启/关闭），应用于短周期 RSI：
Bullish Divergence (看涨背离)：价格创新低，但 RSI 底部抬高。
Bearish Divergence (看跌背离)：价格创新高，但 RSI 顶部降低。 (注意：背离功能默认关闭，请在设置中勾选 "Calculate Divergence" 开启)
3. 高度自定义
支持自定义 RSI 长度、平滑类型 (SMA/EMA) 及平滑长度。
支持自定义差值阈值（默认 20）。
完整的告警支持：可分别为差值信号和背离信号设置 TradingView 告警。
如何使用 建议将“差值信号”作为预警，结合“背离信号”作为确认。当出现“买入”标签且随后出现 Bullish 背离时，胜率通常更高。
Overview
This is a comprehensive momentum trading tool that combines a Dual RSI Cross System with Classic RSI Divergence Detection. It is designed to identify potential overbought/oversold conditions by analyzing the "spread" between short-term and long-term momentum, reinforced by divergence signals for reversal confirmation.
Key Features & Logic
1. Dual RSI Spread Signals The script calculates two RSI lines simultaneously:
Short RSI (Default 13): Sensitive to immediate price changes.
Long RSI (Default 42): Represents the longer-term baseline.
Trading signals are generated based on the Spread (Difference) between these two lines:
🟢 BUY Signal: Triggers when Long RSI - Short RSI > 20. This implies short-term momentum is significantly below the long-term baseline, suggesting a deep oversold condition and potential mean reversion.
🔴 SELL Signal: Triggers when Short RSI - Long RSI > 20. This implies short-term momentum has spiked too far above the baseline, suggesting an overheated market.
2. RSI Divergence The indicator includes a built-in divergence detection algorithm (optional) applied to the Short RSI:
Bullish Divergence: Price makes a lower low, but RSI makes a higher low.
Bearish Divergence: Price makes a higher high, but RSI makes a lower high. (Note: Divergence is disabled by default. Please check "Calculate Divergence" in the settings to enable).
3. Fully Customizable
Configurable RSI lengths, Smoothing types (SMA/EMA), and Smoothing lengths.
Adjustable Spread Threshold (Default is 20).
Full Alert Support: Set alerts specifically for Spread Signals or Divergence detections.
How to Use It is recommended to use the "Spread Signals" as an early warning system and the "Divergence Signals" as confirmation. A setup where a "BUY" spread label is followed by a Bullish Divergence line often presents a higher probability trade.
SMC Rebalance to Equilibrium + ATR/ADX (Release)Markets spend more time rebalancing than trending. After an impulsive move, price naturally seeks fair value (equilibrium / mean / VWAP / 50%) where buyers and sellers agree again.
This makes rebalance trades higher win-rate and lower risk compared to continuation or breakout strategies.
Examples from real market behaviour:
- Gold futures (GC) rebalance very frequently because gold is heavily mean-reverted by institutions and hedgers. Roughly 60–70% of intraday moves show some form of rebalance.
- Nasdaq (NQ) is momentum-dominant, but even then 45–55% of intraday extensions rebalance, especially outside NY Open.
- FCPO is strongly controlled and rotational, with 70–80% of moves showing rebalance behaviour, especially outside aggressive news flows.
What each candle label means in this indicator
This indicator labels ATR state per candle to read market intent:
E (Expansion) - Volatility increasing. Aggressive participation. Used to drive price, not to rebalance.
S (Strong) - Sustained momentum. Trend still active.
D (Decreasing) - Volatility contracting. Acceptance forming. This is the core condition for rebalance.
W (Weak) represents very low momentum and temporary hesitation. W means the market is unsure.
Indicator features explained
This indicator is designed to be simple, objective, and rule-based:
Candle labels show real-time ATR state (E / S / D / W)
Strong rebalance condition is highlighted when D-D-D forms
Filters avoid signals during ADX expansion
Designed specifically for SMC rebalance to equilibrium, not continuation
Alerts trigger only when valid rebalance conditions appear, helping traders avoid over-trading and impulsive entries
Why D-D-D is very important?
Three consecutive D candles (D-D-D) mean:
- Volatility has contracted for multiple closes
- Chasers are gone
- Order flow is absorbed
- Market accepts current price as unfair
This is the strongest condition for price to return to equilibrium and sometimes continue further to MRH / MRL instead of stopping at 50%.
Important: One or two D candles are not enough. D-D-D confirms acceptance, not just a pause
Why NOT to trade rebalance when ADX is expanding
ADX expansion means trend strength is increasing. When ADX is expanding:
- Decreasing ATR often means reload, not reversal
- Price is being delivered, not balanced
- Rebalance attempts usually fail
This indicator filters out rebalance signals when ADX shows expansion because trend strength overrides balance logic.
Why price can rebalance without taking liquidity
A liquidity sweep is not required for rebalance.
Rebalance happens because acceptance changes, not because stops are hunted.
Price returns to equilibrium when:
- Momentum fades
- Volatility contracts
- Participation drops
- Passive orders dominate
Liquidity sweeps only make the move faster, not necessary. This is why rebalances commonly happen in Asian session, late US session, and mid-range conditions without any obvious stop-run.
Best time to trade rebalance (US & Malaysia time)
Rebalance works best when liquidity is stable or decaying, not expanding.
Best for Gold (GC)
- US Late Session: 11:30 pm – 2:00 am MYT
- Asian Morning: 7:00 am – 11:00 am MYT
Best for Nasdaq (NQ)
- US Late Session only: 11:30 pm – 1:30 am MYT
Avoid for all markets
- NY Open impulse: 8:30 pm – 10:30 pm MYT
This is delivery time, not balance time.
Core idea to remember
Rebalance trading is not about predicting reversals. It is about waiting for acceptance.
Liquidity makes moves fast. Acceptance makes moves possible. This indicator exists to help you trade what markets do most of the time — rebalance back to fair value — with discipline and structure
