Oscillator [Scalping-Algo]█ POSTING OSCILLATOR
A squeeze momentum indicator that detects volatility compression and shows momentum direction.
█ HOW IT WORKS
This indicator combines Bollinger Bands and Keltner Channels to identify "squeeze" conditions — periods of low volatility that often precede explosive moves.
When Bollinger Bands contract inside Keltner Channels, volatility is compressing. When they expand back out, the squeeze "fires" and price typically makes a strong directional move.
█ HISTOGRAM COLORS
🟦 Bright Cyan — Positive momentum, increasing
🟦 Dark Cyan — Positive momentum, decreasing
🟪 Dark Purple — Negative momentum, increasing
🟪 Bright Magenta — Negative momentum, decreasing
█ SQUEEZE DOTS (ZERO LINE)
🟢 Teal — No squeeze (normal volatility)
⚫ Gray — Low squeeze
🔴 Red — Medium squeeze
🟠 Orange — High squeeze (breakout imminent)
█ HOW TO USE
1. Wait for squeeze dots (gray/red/orange) to appear
2. Watch which direction momentum is building
3. Enter when dots turn teal (squeeze fired)
4. Go long if histogram is cyan, short if magenta
5. Consider exit when colors fade (bright → dark)
█ BEST PRACTICES
• Works best on higher timeframes (1H, 4H, Daily)
• Combine with trend analysis and support/resistance
• Most reliable in trending markets
• Avoid trading against major levels
█ SETTINGS
Length: 20 (default) — Period for all calculations
Adjust based on your timeframe and trading style.
█ ALERTS
Set alerts for:
• Histogram crossing zero
• Squeeze firing (dot color change to teal)
• High squeeze detection (orange dots)
Oscillatori centrati
Real RSI/threshold = input.float(80, title = "rsi above")
// condition = rsi60 > threshold
// barcolor(condition ? color.purple : na)
// bgcolor(condition ? color.new(color.purple, 80) : na, force_overlay = true)
Mean Reversion [SIMI]This mean reversion indicator identifies extreme price deviations from the mean, providing high-probability reversal signals. Designed for confluence-based trading, it works best when combined with complementary indicators such as VWAP, price action, and volume analysis.
📊 Core Features
Signal Types
Prime Signals (Bright Green/Red Dots): Extreme reversions usually beyond ±1.5 SD - highest probability setups (you can customise this zone!)
Regular Signals (Dark Green/Red Dots): Standard reversions - moderate probability
Leader Line (Pink Dotted): Early warning indicator for potential reversals
Histogram Weakness: Momentum divergence signals
Normalisation Methods:
Institutional Hybrid (Z-ATR) (Recommended): Volatility-adjusted Z-score - adapts to changing market conditions
Percentile Ranking: Statistical ranking - excellent for ranging markets
PPO + ATR Hybrid: Percentage-based with volatility adjustment
Efficiency Ratio: Trend-strength weighted
ATR: Pure volatility-based
None: Raw Z-score
⚙️ Quick Setup Guide
1. Institutional Presets
Pre-configured parameter sets optimised for different timeframes:
5M Day Trading (5/21/5): Intraday scalping
1H Options Trading (6/24/5): Options-focused setups
1D Monthly Cycle (5/20/5): Swing trading
2. Signal Filtering
Prime Thresholds: Adjust ±1.5 SD to control signal quality (tighter = fewer, higher quality, adjust this zone per asset traded)
Dot Filters: Fine-tune entry zones (-0.03/+0.03 default - this ignores noisy signals near Zero line)
Volume Filter: Enable to require volume confirmation (1.4x average recommended, but fine tune yourself)
3. Advanced Filters
Dynamic SD Thresholds: Auto-adjusts for volatility regimes (tighter in low vol, wider in high vol)
Time of Day Filter: Avoids first 30 minutes, last 15 minutes, and lunch hour (11:30-13:00 EST)
💡 Trading Strategy Recommendations
Optimal Usage
This indicator is not intended as a standalone system. Use it for confluence alongside:
VWAP (institutional positioning)
Price action (support/resistance)
Options flow (institutional direction)
Volume analysis (conviction confirmation)
Signal Interpretation
Prime Signals: Wait for these for highest-probability entries - mean reversion may take hours to days
Manual Entries: Don't wait for dots - trade the ±2 SD zones directly using your own confirmation
Options Strategy: Prime sell signals at +2 SD make excellent short call setups; prime buy signals at -2 SD for long calls
Timeframe Guidance
Lower Timeframes (1M-5M): Higher noise - require additional confluence
Higher Timeframes (1H-1D): More reliable signals - suitable for options and swing trades
Best Results: Multi-timeframe analysis (check 1H and 4H alignment on 5M entries)
🔔 Alert System
Master Alert
Enable customisable alerts via the Master Alert System:
Toggle individual signal types (Prime Buy/Sell, SD Crosses, Leader, Histogram)
Receives bespoke messages with ticker, timeframe, and price
One alert condition handles all selected signals
Individual Alerts
Separate alert conditions available for Prime and Regular signals if preferred.
📈 Backtesting Notes
Important: Backtest results are date-sensitive and should not be the primary focus. Instead:
Dial in settings visually on your chosen asset
Aim for signals near actual tops and bottoms
Test different normalisation methods for your specific instrument
Optimise for signal quality, not backtest ROI
Asset Testing: Primarily developed using SPY, QQQ, and IWM as main assets to trade. Other instruments may require parameter adjustment - mess around!
Backtest Engine
Entry/Exit modes (All Signals, Prime Only, Early Signals)
Position sizing (percentage-based)
Slippage and fill method (candle close recommended)
Date range selection
⚠️ Best Practices
Always use confluence - never trade on MR signals alone
Start with Institutional Hybrid normalisation - most adaptive to market conditions
Focus on Prime signals for quality over quantity
Test on your specific asset - optimal settings vary by instrument
Longer timeframes = higher reliability - 1H+ for best results
Enable Time Filter on intraday charts to avoid volatile periods
Use Dynamic SD in highly volatile markets (earnings, FOMC, etc.)
🛠️ Troubleshooting
Too many signals: Increase Prime Thresholds or enable Volume Filter
Too few signals: Decrease Prime Thresholds or reduce Dot Filters
False signals: Enable Time of Day Filter and Dynamic SD
Signals don't align with tops/bottoms: Try different normalisation method
📝 Feedback & Development
Bug Reports: Please report any issues via TradingView comments or direct message.
Strategy Sharing: I'd love to hear how you're using this indicator and what strategies you've developed.
Open Source: Feel free to fork and modify this indicator. If you create an improved version, please share it with the community!
🙏 Acknowledgements
Developed through AI-assisted collaboration.
Special thanks to Lazy Bear for his open source MACD histogram (volume based).
Open source forever - use freely, modify, and share.
Happy Trading!
Remember: Past performance does not guarantee future results. Always manage risk appropriately.
Pandas rock \m/
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.
Maor Beniash | Pro DashboardMB-PRO | Smart Info & Risk Dashboard
Description The MB-PRO indicator is a minimalist dashboard designed to provide traders with rapid situational awareness and critical risk management data, without cluttering the chart. This tool consolidates fundamental and technical data into one organized corner, helping avoid common errors such as entering a trade right before an earnings report or incorrect stop-loss calculations.
Key Features:
Full Company Name: Displays the complete name of the entity.
Market Cap: Shows the current market capitalization.
Sector & Industry: Quickly identifies the sector and industry classification.
Risk Management (ATR): Displays the Average True Range (14) in both absolute value and percentage (crucial for stop-loss sizing).
Earnings Alert: A smart warning mechanism where the text automatically turns orange when the report date is approaching (default: 21 days, adjustable). This helps prevent holding positions during high-risk periods.
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.*
VWAP Enhanced (Visual Feedback)This is the standard Volume-Weighted Average Price (VWAP) indicator, with the addition of an adjustable anchored time point. This modification aligns with the objective of analyzing price action relative to a specific subsequent event.
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.
Adaptive RSI [BOSWaves]Adaptive RSI - Percentile-Based Momentum Detection with Dynamic Regime Thresholds
Overview
Adaptive RSI is a self-calibrating momentum oscillator that identifies overbought and oversold conditions through historical percentile analysis, constructing dynamic threshold boundaries that adjust to evolving market volatility and momentum characteristics.
Instead of relying on traditional fixed RSI levels (30/70 or 20/80) or static overbought/oversold zones, regime detection, threshold placement, and signal generation are determined through rolling percentile calculation, smoothed momentum measurement, and divergence pattern recognition.
This creates adaptive boundaries that reflect actual momentum distribution rather than arbitrary fixed levels - tightening during low-volatility consolidation periods, widening during trending environments, and incorporating divergence analysis to reveal momentum exhaustion or continuation patterns.
Momentum is therefore evaluated relative to its own historical context rather than universal fixed thresholds.
Conceptual Framework
Adaptive RSI is founded on the principle that meaningful momentum extremes emerge relative to recent price behavior rather than at predetermined numerical levels.
Traditional RSI implementations identify overbought and oversold conditions using fixed thresholds that remain constant regardless of market regime, often generating premature signals in strong trends or missing reversals in range-bound markets. This framework replaces static threshold logic with percentile-driven adaptive boundaries informed by actual momentum distribution.
Three core principles guide the design:
Threshold placement should correspond to historical momentum percentiles, not fixed numerical levels.
Regime detection must adapt to current market volatility and momentum characteristics.
Divergence patterns reveal momentum exhaustion before price reversal becomes visible.
This shifts oscillator analysis from universal fixed levels into adaptive, context-aware regime boundaries.
Theoretical Foundation
The indicator combines smoothed RSI calculation, rolling percentile tracking, adaptive threshold construction, and multi-pattern divergence detection.
A Hull Moving Average (HMA) pre-smooths the price source to reduce noise before RSI computation, which then undergoes optional post-smoothing using configurable moving average types. Confirmed oscillator values populate a rolling historical buffer used for percentile calculation, establishing upper and lower thresholds that adapt to recent momentum distribution. Regime state persists until the oscillator crosses the opposing threshold, preventing whipsaw during consolidation. Pivot detection identifies swing highs and lows in both price and oscillator values, enabling regular divergence pattern recognition through comparative analysis.
Five internal systems operate in tandem:
Smoothed Momentum Engine : Computes HMA-preprocessed RSI with optional post-smoothing using multiple MA methodologies (SMA, EMA, HMA, WMA, DEMA, RMA, LINREG, TEMA).
Historical Buffer Management : Maintains a rolling array of confirmed oscillator values for percentile calculation with configurable lookback depth.
Percentile Threshold Calculation : Determines upper and lower boundaries by extracting specified percentile values from sorted historical distribution.
Persistent Regime Detection : Establishes bullish/bearish/neutral states based on threshold crossings with state persistence between signals.
Divergence Pattern Recognition : Identifies regular bullish and bearish divergences through synchronized pivot analysis of price and oscillator values with configurable range filtering.
This design allows momentum interpretation to adapt to market conditions rather than reacting mechanically to universal thresholds.
How It Works
Adaptive RSI evaluates momentum through a sequence of self-calibrating processes:
Source Pre-Smoothing: Input price undergoes 4-period HMA smoothing to reduce bar-to-bar noise before oscillator calculation.
RSI Calculation: Standard RSI computation applied to smoothed source over configurable length period.
Optional Post-Smoothing: Raw RSI value undergoes additional smoothing using selected MA type and length for cleaner regime detection.
Historical Buffer Population: Confirmed oscillator values accumulate in a rolling array with size limit determined by adaptive lookback parameter.
Percentile Threshold Extraction: Array sorts on each bar to calculate upper percentile (bullish threshold) and lower percentile (bearish threshold) values.
Regime State Persistence: Bullish regime activates when oscillator crosses above upper threshold, bearish regime activates when crossing below lower threshold, neutral regime persists until directional threshold breach.
Pivot Identification: Swing highs and lows detected in both oscillator and price using configurable left/right parameters.
Divergence Pattern Matching: Compares pivot relationships between price and oscillator within min/max bar distance constraints to identify regular bullish (price LL, oscillator HL) and bearish (price HH, oscillator LH) divergences.
Together, these elements form a continuously updating momentum framework anchored in statistical context.
Interpretation
Adaptive RSI should be interpreted as context-aware momentum boundaries:
Bullish Regime (Blue): Activated when oscillator crosses above upper percentile threshold, indicating momentum strength relative to recent distribution favors upside continuation.
Bearish Regime (Red): Established when oscillator crosses below lower percentile threshold, identifying momentum weakness relative to recent distribution favors downside continuation.
Upper Threshold Line (Blue)**: Dynamic resistance level calculated from upper percentile of historical oscillator distribution - adapts higher during trending markets, lower during ranging conditions.
Lower Threshold Line (Red): Dynamic support level calculated from lower percentile of historical oscillator distribution - adapts lower during downtrends, higher during consolidation.
Regime Fill: Gradient coloring between oscillator and baseline (50) visualizes current momentum intensity - stronger color indicates greater distance from neutral.
Extreme Bands (15/85): Upper and lower extreme zones with strength-modulated transparency reveal momentum extremity - darker shading during powerful moves, lighter during moderate momentum.
Divergence Lines: Connect price and oscillator pivots when divergence pattern detected, appearing on both price chart and oscillator pane for confluence identification.
Reversal Markers (✦): Diamond signals appear at 80+ (bearish extreme) and sub-15 (bullish extreme) levels, marking potential exhaustion zones independent of regime state.
Percentile context, divergence confirmation, and regime persistence outweigh isolated oscillator readings.
Signal Logic & Visual Cues
Adaptive RSI presents four primary interaction signals:
Regime Switch - Long : Oscillator crosses above upper percentile threshold after previously being in bearish or neutral regime, suggesting momentum strength shift favoring bullish continuation.
Regime Switch - Short : Oscillator crosses below lower percentile threshold after previously being in bullish or neutral regime, indicating momentum weakness shift favoring bearish continuation.
Regular Bullish Divergence (𝐁𝐮𝐥𝐥) : Price forms lower low while oscillator forms higher low, revealing positive momentum divergence during downtrends - often precedes reversal or consolidation.
Regular Bearish Divergence (𝐁𝐞𝐚𝐫) : Price forms higher high while oscillator forms lower high, revealing negative momentum divergence during uptrends - often precedes reversal or correction.
Alert generation covers regime switches, threshold crossings, and divergence detection for systematic monitoring.
Strategy Integration
Adaptive RSI fits within momentum-informed and mean-reversion trading approaches:
Adaptive Regime Following : Use threshold crossings as primary trend inception signals where momentum confirms directional breakouts within statistical context.
Divergence-Based Reversals : Enter counter-trend positions when divergence patterns appear at extreme oscillator levels (above 80 or below 20) for high-probability mean-reversion setups.
Threshold-Aware Scaling : Recognize that tighter percentile spreads (e.g., 45/50) generate more signals suitable for ranging markets, while wider spreads (e.g., 30/70) filter for stronger trend confirmation.
Extreme Zone Confluence : Combine reversal markers (✦) with divergence signals for maximum-conviction exhaustion entries.
Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant momentum direction.
Smoothing Optimization : Increase smoothing length in choppy markets to reduce false signals, decrease in trending markets for faster response.
Technical Implementation Details
Core Engine : HMA-preprocessed RSI with configurable smoothing (SMA, HMA, EMA, WMA, DEMA, RMA, LINREG, TEMA)
Adaptive Model : Rolling percentile calculation over confirmed oscillator values with size-limited historical buffer
Threshold Construction : Linear interpolation percentile extraction from sorted distribution array
Regime Detection : State-persistent threshold crossing logic with confirmed bar validation
Divergence Engine : Pivot-based pattern matching with range filtering and duplicate prevention
Visualization : Gradient-filled regime zones, adaptive threshold lines, strength-modulated extreme bands, dual-pane divergence lines
Performance Profile : Optimized for real-time execution with efficient array management and minimal computational overhead
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Micro-structure momentum detection for scalping and intraday reversals
15 - 60 min : Intraday regime identification with divergence-validated turning points
4H - Daily : Swing and position-level momentum analysis with macro divergence context
Suggested Baseline Configuration:
RSI Length : 18
Source : Close
Smooth Oscillator : Enabled
Smoothing Length : 20
Smoothing Type : SMA
Adaptive Lookback : 1000
Upper Percentile : 50
Lower Percentile : 45
Divergence Pivot Left : 15
Divergence Pivot Right : 15
Min Pivot Distance : 5
Max Pivot Distance : 60
These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance.
Parameter Calibration Notes
Use the following adjustments to refine behavior without altering the core logic:
Too many whipsaw signals : Widen percentile spread (e.g., 40/60 instead of 45/50) to demand stronger momentum confirmation, or increase "Smoothing Length" to filter noise.
Missing legitimate regime changes : Tighten percentile spread (e.g., 48/52 instead of 45/50) for earlier detection, or decrease "Smoothing Length" for faster response.
Oscillator too choppy : Increase "Smoothing Length" for cleaner readings, or switch "Smoothing Type" to RMA/TEMA for heavier smoothing.
Thresholds not adapting properly : Reduce "Adaptive Lookback" to emphasize recent behavior (500-800 bars), or increase it for more stable thresholds (1500-2000 bars).
Too many divergence signals : Increase "Pivot Left/Right" values to demand stronger swing confirmation, or widen "Min Pivot Distance" to space out detections.
Missing significant divergences : Decrease "Pivot Left/Right" for faster pivot detection, or increase "Max Pivot Distance" to compare more distant swings.
Prefer different momentum sensitivity : Adjust "RSI Length" - lower values (10-14) for aggressive response, higher values (21-28) for smoother trend confirmation.
Divergences appearing too late : Reduce "Pivot Right" parameter to detect divergences closer to current price action.
Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions.
Performance Characteristics
High Effectiveness:
Markets with mean-reverting characteristics and consistent momentum cycles
Instruments where momentum extremes reliably precede reversals or consolidations
Ranging environments where percentile-based thresholds adapt to volatility contraction
Divergence-driven strategies targeting momentum exhaustion before price confirmation
Reduced Effectiveness:
Extremely strong trending markets where oscillator remains persistently extreme
Low-liquidity environments with erratic momentum readings
News-driven or gapped markets where momentum disconnects from price temporarily
Markets with regime shifts faster than adaptive lookback can recalibrate
Integration Guidelines
Confluence : Combine with BOSWaves structure, volume analysis, or traditional support/resistance
Threshold Respect : Trust signals that occur after clean threshold crossings with sustained momentum
Divergence Context : Prioritize divergences appearing at extreme oscillator levels (80+/15-) over those in neutral zones
Regime Awareness : Consider whether current market regime matches historical momentum patterns used for calibration
Multi-Pattern Confirmation : Seek divergence patterns coinciding with reversal markers or threshold rejections for maximum conviction
Disclaimer
Adaptive RSI is a professional-grade momentum and divergence analysis tool. It uses percentile-based threshold calculation that adapts to recent market behavior but cannot predict future regime shifts or guarantee reversal timing. Results depend on market conditions, parameter selection, lookback period appropriateness, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
ACHT EMA Cross Pullback Strategy with HTF Filter, RSI SignalsADVANCED INDICATOR FOR TRADING USING EMA CROSS PULLBACK STRATEGY
✨ MAIN FEATURES:
• 📈 Signals on pullback after EMA9/EMA20 crossover
• 🔍 Multi-level signal filtering
• 🕒 Multi-timeframe analysis (HTF filter)
• 🛡️ Trend indicator protection
• 📊 Compact information panel
🎯 MAIN SIGNALS:
1️⃣ EMA CROSS + PULLBACK
• EMA9 crosses EMA20 up/down
• Price pullback to EMA9 after crossover
• EMA200 filter (bullish/bearish trend)
2️⃣ RSI SIGNALS IN HTF ZONES
• RSI crossing its SMA
• Works only in HTF zones
• "First signal only" option in zone
🛡️ INDICATOR FILTERS:
• ✅ SuperTrend - main trend identification
• ✅ MACD - additional trend confirmation
• ✅ RSI - overbought/oversold filter
• ✅ HTF filter - higher timeframe analysis
⚙️ CUSTOMIZATION OPTIONS:
• Adjustable periods for all indicators
• Enable/disable each filter
• RSI level settings
• HTF filter timeframe selection
• Signal visualization options
📱 INFORMATION PANEL:
• Compact table with key metrics
• Status of all filters and indicators
• Visual HTF zone indicators
• Emoji for quick perception
🚨 ALERT SYSTEM:
• Alerts on main signals
• Alerts on HTF zone entry
• Alerts on RSI signals
• Customizable trigger conditions
📈 USAGE RECOMMENDATIONS:
1. Wait for EMA9 and EMA20 crossover
2. Look for price pullback to EMA9
3. Check all filter compliance
4. Ensure HTF zone presence
5. Use RSI signals as supplement
⚠️ RISKS AND LIMITATIONS:
• Indicator doesn't guarantee profit
• Always use stop-losses
• Test strategy on demo account
• Adapt parameters to your trading style
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.
Quantum MACD📈 STRENGTHS:
1. Adaptability to Any Asset
Automatically adjusts overbought/oversold levels according to each asset's volatility
No manual level adjustment needed for different instruments
2. 4 Intelligent Zone Calculation Methods
Percentiles: Considers historical distribution of MACD values
Standard Deviation: Statistically justified levels
ATR: Accounts for market volatility
Bollinger Bands: Classic proven method
3. Enhanced Visualization
Gradient zone fill (intensity depends on distance to level)
Four histogram colors like in standard MACD
Clear solid divergence lines with markers
Information panel with key data
4. Multiple Signals and Alerts
Divergences (bullish/bearish)
Entry/exit from overbought/oversold zones
MACD and signal line crossovers
Strong signals (when approaching extreme levels)
5. Flexible Configuration
Ability to enable/disable any elements
Period adjustment for different methods
Color scheme selection
Sensitivity adjustment via multipliers
6. Professional Functions
Table with extended information
Signal strength calculation
Distance to level indicators
Display of historical MACD minimums/maximums
📉 WEAKNESSES:
1. High Complexity for Beginners
Many settings can confuse novice traders
Difficulty choosing optimal zone calculation method
Requires time to learn all functions
2. Possible Chart Overload
Multiple lines and fills can clutter the chart
Lines may overlap with many divergences
Information panel occupies screen space
3. Calculation Delays
Use of large periods (up to 500 bars) for calculations
Some methods (percentiles) require data accumulation
Possible lags on lower timeframes
4. Risk of Over-Optimization
Too fine-tuning for specific assets
Possibility of fitting parameters to historical data
Need to review parameters when trends change
5. Dependence on Chosen Method
Different methods can give contradictory signals
No single "perfect" method for all situations
Requires testing each method on specific assets
6. Pine Script Limitations
Inability to implement exact percentiles without arrays
Performance limitations with complex calculations
Some visual effects cannot be implemented perfectly
7. False Signals
In strong trends, indicator may remain in overbought/oversold zones for long periods
Divergences sometimes form late
Frequent line crossovers in sideways markets
⚖️ BALANCE OF STRENGTHS AND WEAKNESSES:
Who It's Suitable For:
✅ Experienced traders who need advanced analysis tools
✅ Analysts studying indicator behavior on different assets
✅ Swing traders working on medium timeframes
✅ Those trading multiple assets who need automatic adaptation
Who It's Not Suitable For:
❌ Beginners just starting with technical analysis
❌ Scalpers who need minimal delay
❌ Traders preferring minimalistic indicators
❌ Those wanting a "magic button" without configuration
💡 USAGE RECOMMENDATIONS:
Start Simple: Use only one zone calculation method (e.g., "Standard Deviation")
Test: Check each method on your asset's historical data
Simplify: Disable unnecessary visual elements for cleaner charts
Combine: Use this indicator with others (trend, volume-based)
Observe: Monitor indicator behavior in different market conditions (trend, range)
🎯 CONCLUSION:
Quantum MACD is a powerful professional tool for traders willing to invest time in learning and configuring it. It solves the key problem of standard MACD - static overbought/oversold levels.
Main Advantage: adaptation to any asset without manual adjustment.
Main Disadvantage: complexity for beginners and risk of chart overload.
The indicator performs best on daily and weekly timeframes when trading stocks, cryptocurrencies, and currency pairs with good liquidity.
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.
MACD Colored CandlesMACD Histogram Candle Colors
Overview
This indicator visualizes MACD momentum directly on your candlesticks by coloring them according to the MACD histogram's state. Instead of looking at a separate MACD panel, you can instantly see momentum changes right on your price chart.
How It Works
The indicator calculates the standard MACD (Moving Average Convergence Divergence) and applies the histogram's color logic directly to your candles:
🟢 **Teal (#26a69a)** - Bullish momentum increasing (histogram positive and rising)
🟢 **Light Teal (#b2dfdb)** - Bullish momentum weakening (histogram positive but falling)
🔴 **Light Red (#ffcdd2)** - Bearish momentum weakening (histogram negative but rising)
🔴 **Red (#ff5252)** - Bearish momentum increasing (histogram negative and falling)
Features
- **Pure MACD Logic**: Uses exact MACD histogram color calculations
- **Clean Chart**: No additional plots or tables cluttering your view
- **Customizable Inputs**: Adjust Fast length (default 12), Slow length (default 26), and Signal length (default 9)
- **MA Type Selection**: Choose between EMA or SMA for both oscillator and signal calculations
- **Overlay Display**: Works seamlessly with other indicators
Settings
- **Source**: Price source for MACD calculation (default: close)
- **Fast Length**: Period for fast moving average (default: 12)
- **Slow Length**: Period for slow moving average (default: 26)
- **Signal Length**: Period for signal line (default: 9)
- **Oscillator MA Type**: EMA or SMA
- **Signal MA Type**: EMA or SMA
Best Use Cases
- Quick momentum identification without switching between panels
- Combining with support/resistance levels for trade entries
- Identifying divergences between price action and momentum
- Multi-timeframe analysis with color-coded momentum
Tips
- Use in combination with traditional MACD for confirmation
- Color changes often precede significant price movements
- Works on all timeframes and instruments
- Consider pairing with volume indicators for stronger signals
Credits
Based on the standard MACD indicator with histogram color visualization applied to candlesticks.
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*This is an open-source script. Feel free to use, modify, and share!*
