Double Median SD Bands | MisinkoMasterThe Double Median SD Bands (DMSDB) is a trend-following tool designed to capture market direction in a way that balances responsiveness and smoothness, filtering out excessive noise without introducing heavy lag.
Think of it like a house:
A jail (too restrictive) makes you miss opportunities.
No house at all (too unsafe) leaves you exposed to false signals.
DMSDB acts like a comfortable house with windows—protecting you from the noise while still letting you see what’s happening in the market.
🔎 Methodology
The script works in the following steps:
Standard Deviation (SD) Calculation
Computes the standard deviation of the selected price source (ohlc4 by default).
The user can choose whether to use biased (sample) or unbiased (population) standard deviation.
Raw Bands Construction
Upper Band = source + (SD × multiplier)
Lower Band = source - (SD × multiplier)
The multiplier can be adjusted for tighter or looser bands.
First Median Smoothing
Applies a median filter over half of the length (len/2) to both bands.
This reduces noise without creating excessive lag.
Second Median Smoothing
Applies another median filter over √len to the already smoothed bands.
This produces a balance:
Cutting the length → maintains responsiveness.
Median smoothing → reduces whipsaws.
The combination creates a fast yet clean band system ideal for trend detection.
📈 Trend Logic
The trend is detected based on price crossing the smoothed bands:
Long / Bullish (Purple) → when price crosses above the upper band.
Short / Bearish (Gold) → when price crosses below the lower band.
Neutral → when price remains between the bands.
🎨 Visualization
Upper and lower bands are plotted as colored lines.
The area between the bands is filled with a transparent zone that reflects the current bias:
Purple shading = Bullish zone.
Golden shading = Bearish zone.
This creates a visual tunnel for trend confirmation, helping traders quickly identify whether price action is trending or consolidating.
⚡ Features
Adjustable Length parameter (len) for dynamic control.
Adjustable Band Multiplier for volatility adaptation.
Choice between biased vs. unbiased standard deviation.
Double median smoothing for clarity + responsiveness.
Works well on cryptocurrencies (e.g., BTCUSD) but is flexible enough for stocks, forex, and indices.
✅ Use Cases
Trend Following → Ride trends by staying on the correct side of the bands.
Entry Timing → Use crossovers above/below bands for entry triggers.
Filter for Other Strategies → Can serve as a directional filter to avoid trading against the trend.
⚠️ Limitations & Notes
This is a trend-following tool, so it will perform best in trending conditions.
In sideways or choppy markets, whipsaws may still occur (although smoothing reduces them significantly).
The indicator is not a standalone buy/sell system. For best results, combine with volume, momentum, or higher-timeframe confluence.
All of this makes for a really unique & original tool, as it removes noise but keeps good responsitivity, using methods from many different principles which make for a smooth a very useful tool
Volatilität
Bollinger Adaptive Trend Navigator [QuantAlgo]🟢 Overview
The Bollinger Adaptive Trend Navigator synthesizes volatility channel analysis with variable smoothing mechanics to generate trend identification signals. It uses price positioning within Bollinger Band structures to modify moving average responsiveness, while incorporating ATR calculations to establish trend line boundaries that constrain movement during volatile periods. The adaptive nature makes this indicator particularly valuable for traders and investors working across various asset classes including stocks, forex, commodities, and cryptocurrencies, with effectiveness spanning multiple timeframes from intraday scalping to longer-term position analysis.
🟢 How It Works
The core mechanism calculates price position within Bollinger Bands and uses this positioning to create an adaptive smoothing factor:
bbPosition = bbUpper != bbLower ? (source - bbLower) / (bbUpper - bbLower) : 0.5
adaptiveFactor = (bbPosition - 0.5) * 2 * adaptiveMultiplier * bandWidthRatio
alpha = math.max(0.01, math.min(0.5, 2.0 / (bbPeriod + 1) * (1 + math.abs(adaptiveFactor))))
This adaptive coefficient drives an exponential moving average that responds more aggressively when price approaches Bollinger Band extremes:
var float adaptiveTrend = source
adaptiveTrend := alpha * source + (1 - alpha) * nz(adaptiveTrend , source)
finalTrend = 0.7 * adaptiveTrend + 0.3 * smoothedCenter
ATR-based volatility boundaries constrain the final trend line to prevent excessive movement during volatile periods:
volatility = ta.atr(volatilityPeriod)
upperBound = bollingerTrendValue + (volatility * volatilityMultiplier)
lowerBound = bollingerTrendValue - (volatility * volatilityMultiplier)
The trend line direction determines bullish or bearish states through simple slope comparison, with the final output displaying color-coded signals based on the synthesis of Bollinger positioning, adaptive smoothing, and volatility constraints (green = long/buy, red = short/sell).
🟢 Signal Interpretation
Rising Trend Line (Green): Indicates upward direction based on Bollinger positioning and adaptive smoothing = Potential long/buy opportunity
Falling Trend Line (Red): Indicates downward direction based on Bollinger positioning and adaptive smoothing = Potential short/sell opportunity
Built-in Alert System: Automated notifications trigger when bullish or bearish states change, allowing you to act on significant development without constantly monitoring the charts
Candle Coloring: Optional feature applies trend colors to price bars for visual consistency
Configuration Presets: Three parameter sets available - Default (standard settings), Scalping (faster response), and Swing Trading (slower response)
Avg Candle Size (Ticks) – Last 9 Closed BarsWhat it does:
Shows the average candle size in ticks for the last N closed bars (defaults to 9). I built this so I can glance at a 5-min chart and instantly know the typical bar size in ticks, updating only after each bar closes (no intrabar wiggle).
How it works:
Measures each bar’s full range (High–Low), not ATR and not candle body.
Averages the last N closed bars, converts to ticks using syminfo.mintick.
Displays a simple line plus a small readout (e.g., “32 ticks”).
Why I built it:
Gives me a realistic sense of current volatility in ticks so I can size stops/targets quickly without doing mental math.
Extras:
Lookback is configurable (default 9).
Optional rounding (floor/nearest/ceil).
Works on any timeframe/instrument that has a defined tick size.
If you want it to match ATR exactly (in ticks), swap the range calc for ta.atr(len) / syminfo.mintick
Analítica Trading — Prev Day Levels🤖📊 Analítica Trading — Previous Day Levels
This indicator clearly and precisely displays the key levels from the previous day:
📈 Previous Day High (green line).
📉 Previous Day Low (red line).
The lines are fixed horizontals, updated automatically at the start of each new session, and remain visible throughout the entire day, providing a reliable reference for trading.
It also includes:
🔔 Configurable alerts when the price breaks any of the levels.
🏷️ Labels on the chart with the exact value of each level.
💡 Ideal for Support and Resistance, Breakout strategies, and Smart Money Concepts (SMC).
Large Bar ATR HighlighterAn advanced volatility indicator that highlights bars based on their size relative to Daily ATR (Average True Range).
Features configurable lookback periods to detect cumulative volatility across multiple bars, with visual highlighting, background coloring, shape markers, and comprehensive status line data. Perfect for identifying significant price movements and volatility clusters in any timeframe. Includes real-time table with threshold monitoring and alert capabilities.
Unusual Moves Detector# Unusual Moves Detector
A TradingView indicator that detects and alerts users to unusual price movements based on ATR (Average True Range) and volume analysis. This indicator is designed to identify price action that deviates significantly from normal market behavior.
## Features
### Core Detection Mechanisms
- **ATR-Based Volatility Detection**: Identifies price movements that exceed normal volatility levels
- **Volume Analysis**: Optional volume spike detection to confirm unusual moves
- **Signal Persistence Tracking**: Monitors how many signals occur within a lookback period
### Visual Indicators
- **Up/Down Arrows**: Green triangles for unusual upward moves, red triangles for downward moves
- **Signal Strength Labels**: Numbers showing how many signals occurred in the lookback period
- **Real-time Metrics Table**: Displays current ATR and volume ratios
### Customizable Parameters
1. **ATR Period** (default: 14)
- Length for Average True Range calculation
- Affects volatility measurement sensitivity
2. **Volume MA Period** (default: 20)
- Period for volume moving average
- Used in volume spike detection
3. **ATR Multiplier** (default: 2.0)
- How many times the ATR to trigger a signal
- Higher values = less sensitive to price moves
4. **Volume Multiplier** (default: 2.0)
- How many times the average volume to consider "high volume"
- Higher values = less sensitive to volume spikes
5. **Include Volume Analysis** (default: true)
- Toggle volume confirmation requirement
- When disabled, only price volatility matters
6. **Signal Lookback Period** (default: 5)
- How many bars to look back for signal counting
- Affects signal strength calculation
### Alert System
- **Upward Movement Alerts**: Triggers when unusual upward price action is detected
- **Downward Movement Alerts**: Triggers when unusual downward price action is detected
- **Customizable Alert Messages**: Can be configured in TradingView's alert system
### Information Display
Real-time metrics table shows:
- Current ATR value
- Volume ratio (current volume / average volume)
- Net signal count (up signals - down signals)
## Installation
1. Open TradingView's Pine Script Editor
2. Create a new indicator
3. Copy and paste the indicator code
4. Click "Add to Chart" to apply the indicator
## Usage Guide
### Basic Setup
1. Add the indicator to your chart
2. Adjust parameters based on your trading timeframe and style
3. Configure alerts if desired
### Parameter Tuning Tips
- **For More Signals**: Lower the ATR and Volume multipliers
- **For Fewer Signals**: Increase the multipliers
- **For Trend Following**: Increase the lookback period
- **For Quick Signals**: Decrease the lookback period
### Alert Setup
1. Click the indicator settings
2. Go to "Create Alert"
3. Choose either up or down move condition
4. Configure alert settings (sound, notification, etc.)
## Backtesting Compatibility
- Fully compatible with TradingView's backtesting engine
- All calculations use historical data only
- No forward-looking data or repainting
## Technical Details
- Written in Pine Script v6
- Optimized for real-time calculation
- Uses native TradingView functions for performance
- Compatible with all timeframes
## Performance Considerations
- Lightweight computation using built-in functions
- Efficient memory usage with variable optimization
- Real-time calculation with minimal lag
## Support and Contribution
Feel free to modify and improve the indicator according to your needs. The code is well-commented for easy understanding and modification.
## License
Free to use and modify for personal and commercial purposes.
## Disclaimer
This indicator is for informational purposes only. Always conduct your own analysis and consider multiple factors when making trading decisions.
Mongoose Global Conflict Risk Index v1Overview
The Mongoose Global Conflict Risk Index v1 is a multi-asset composite indicator designed to track the early pricing of geopolitical stress and potential conflict risk across global markets. By combining signals from safe havens, volatility indices, energy markets, and emerging market equities, the index provides a normalized 0–10 score with clear bias classifications (Neutral, Caution, Elevated, High, Shock).
This tool is not predictive of headlines but captures when markets are clustering around conflict-sensitive assets before events are widely recognized.
Methodology
The indicator calculates rolling rate-of-change z-scores for eight conflict-sensitive assets:
Gold (XAUUSD) – classic safe haven
US Dollar Index (DXY) – global reserve currency flows
VIX (Equity Volatility) – S&P 500 implied volatility
OVX (Crude Oil Volatility Index) – energy stress gauge
Crude Oil (CL1!) – WTI front contract
Natural Gas (NG1!) – energy security proxy, especially Europe
EEM (Emerging Markets ETF) – global risk capital flight
FXI (China ETF) – Asia/China proxy risk
Rules:
Safe havens and vol indices trigger when z-score > threshold.
Energy triggers when z-score > threshold.
Risk assets trigger when z-score < –threshold.
Each trigger is assigned a weight, summed, normalized, and scaled 0–10.
Bias classification:
0–2: Neutral
2–4: Caution
4–6: Elevated
6–8: High
8–10: Conflict Risk-On
How to Use
Timeframes:
Daily (1D) for strategic signals and early warnings.
4H for event shocks (missiles, sanctions, sudden escalations).
Weekly (1W) for sustained trends and macro build-ups.
What to Look For:
A single trigger (for example, Gold ON) may be noise.
A cluster of 2–3 triggers across Gold, USD, VIX, and Energy often marks early stress pricing.
Elevated readings (>4) = caution; High (>6) = rotation into havens; Shock (>8) = market conviction of conflict risk.
Practical Application:
Monitor as a heatmap of global stress.
Combine with fundamental or headline tracking.
Use alert conditions at ≥4, ≥6, ≥8 for systematic monitoring.
Notes
This indicator is for informational and educational purposes only.
It is not financial advice and should be used in conjunction with other analysis methods.
FSVZO [Alpha Extract]A sophisticated volume-weighted momentum oscillator that combines Fourier smoothing with Volume Zone Oscillator methodology to deliver institutional-grade flow analysis and divergence detection. Utilizing advanced statistical filtering including ADF trend analysis and multi-dimensional volume dynamics, this indicator provides comprehensive market sentiment assessment through volume-price relationships with extreme zone detection and intelligent divergence recognition for high-probability reversal and continuation signals.
🔶 Advanced VZO Calculation Engine
Implements enhanced Volume Zone Oscillator methodology using relative volume analysis combined with smoothed price changes to create momentum-weighted oscillator values. The system applies exponential smoothing to both volume and price components before calculating positive and negative momentum ratios with trend factor integration for market regime awareness.
🔶 Fourier-Based Smoothing Architecture
Features advanced Fourier approximation smoothing using cosine-weighted calculations to reduce noise while preserving signal integrity. The system applies configurable Fourier length parameters with weighted sum normalization for optimal signal clarity across varying market conditions with enhanced responsiveness to genuine trend changes.
// Fourier Smoothing Algorithm
fourier_smooth(src, length) =>
sum = 0
weightSum = 0
for i = 0 to length - 1
weight = cos(2 * π * i / length)
sum += src * weight
weightSum += weight
sum / weightSum
🔶 Intelligent Divergence Detection System
Implements comprehensive divergence analysis using pivot point methodology with configurable lookback periods for both standard and hidden divergence patterns. The system validates divergence conditions through range analysis and provides visual confirmation through plot lines, labels, and color-coded identification for precise timing analysis.
15MIN
4H
12H
🔶 Flow Momentum Analysis Framework
Calculates flow momentum by measuring oscillator deviation from its exponential moving average, providing secondary confirmation of volume flow dynamics. The system creates momentum-based fills and visual indicators that complement the primary oscillator analysis for comprehensive market flow assessment.
🔶 Extreme Zone Detection Engine
Features sophisticated extreme zone identification at ±98 levels with specialized marker system including white X markers for signals occurring in extreme territory and directional triangles for potential reversal points. The system provides clear visual feedback for overbought/oversold conditions with institutional-level threshold accuracy.
🔶 Dynamic Visual Architecture
Provides advanced visualization engine with bullish/bearish color transitions, dynamic fill regions between oscillator and signal lines, and flow momentum overlay with configurable transparency levels. The system includes flip markers aligned to color junction points for precise signal timing with optional bar close confirmation to prevent repainting.
🔶 ADF Trend Filtering Integration
Incorporates Augmented Dickey-Fuller inspired trend filtering using normalized price statistics to enhance signal quality during trending versus ranging market conditions. The system calculates trend factors based on mean deviation and standard deviation analysis for improved oscillator accuracy across market regimes.
🔶 Comprehensive Alert System
Features intelligent multi-tier alert framework covering bullish/bearish flow detection, extreme zone reversals, and divergence confirmations with customizable message templates. The system provides real-time notifications for critical volume flow changes and structural market shifts with exchange and ticker integration.
🔶 Performance Optimization Framework
Utilizes efficient calculation methods with optimized variable management and configurable smoothing parameters to balance signal quality with computational efficiency. The system includes automatic pivot validation and range checking for consistent performance across extended analysis periods with minimal resource usage.
This indicator delivers sophisticated volume-weighted momentum analysis through advanced Fourier smoothing and comprehensive divergence detection capabilities. Unlike traditional volume oscillators that focus solely on volume patterns, the FSVZO integrates volume dynamics with price momentum and statistical trend filtering to provide institutional-grade flow analysis. The system's combination of extreme zone detection, intelligent divergence recognition, and multi-dimensional visual feedback makes it essential for traders seeking systematic approaches to volume-based market analysis across cryptocurrency, forex, and equity markets with clearly defined reversal and continuation signals.
Anrazzi - EMAs/ATR - 1.0.2The Anrazzi – EMAs/ATR indicator is a multi-purpose overlay designed to help traders track trend direction and market volatility in a single clean tool.
It plots up to six customizable moving averages (MAs) and an Average True Range (ATR) value directly on your chart, allowing you to quickly identify market bias, dynamic support/resistance, and volatility levels without switching indicators.
This script is ideal for traders who want a simple, configurable, and efficient way to combine trend-following signals with volatility-based position sizing.
📌 Key Features
Six Moving Averages (MA1 → MA6)
Toggle each MA on/off individually
Choose between EMA or SMA for each
Customize length and color
Perfect for spotting trend direction and pullback zones
ATR Display
Uses Wilder’s ATR formula (ta.rma(ta.tr(true), 14))
Can be calculated on current or higher timeframe
Adjustable multiplier for position sizing (e.g., 1.5× ATR stops)
Displays cleanly in the bottom-right corner
Custom Watermark
Displays symbol + timeframe in top-right
Adjustable color and size for streamers, screenshots, or clear charting
Compact UI
Organized with group and inline inputs for quick configuration
Lightweight and optimized for real-time performance
⚙️ How It Works
MAs: The script uses either ta.ema() or ta.sma() to compute each moving average based on the user-selected type and length.
ATR: The ATR is calculated using ta.rma(ta.tr(true), 14) (Wilder’s smoothing), and optionally scaled by a multiplier for easier use in risk management.
Tables: ATR value and watermark are displayed using table.new() so they stay anchored to the screen regardless of zoom level.
📈 How to Use
Enable the MAs you want to track and adjust their lengths, type, and colors.
Enable ATR if you want to see volatility — optionally select a higher timeframe for broader context.
Use MAs to:
Identify overall trend direction (e.g. price above MA20 = bullish)
Spot pullback zones for entries
See when multiple MAs cluster together as support/resistance zones
Use ATR value to:
Size your stop-loss dynamically (e.g. stop = entry − 1.5×ATR)
Detect volatility breakouts (ATR spikes = market expansion)
🎯 Recommended For
Day traders & swing traders
Trend-following & momentum strategies
Volatility-based risk management
Traders who want a clean, all-in-one dashboard
MACD Scaled Overlay█ OVERVIEW
The "MACD Scaled Overlay" indicator is an advanced version of the classic MACD (Moving Average Convergence Divergence) oscillator that displays signals directly on the price chart. Instead of a traditional separate panel, the MACD line, signal line, and histogram are scaled and overlaid on the price chart, making it easier to identify key price levels and potential reversal points. The indicator also supports the detection of divergences (regular and hidden) and offers extensive customization options, such as adjusting colors, line thickness, and enabling/disabling visual elements.
█ CONCEPTS
The "MACD Scaled Overlay" indicator is designed to simplify trend and reversal analysis by integrating MACD signals with the price chart. The MACD Scaled Overlay is scaled relative to the average candle range, allowing the lines and histogram to dynamically adjust to market volatility. Additionally, the indicator enables the detection of divergences (bullish and bearish, both regular and hidden) based on the traditional MACD histogram (before scaling), ensuring consistency with classic divergence analysis. The indicator is most effective when combined with other technical analysis tools, such as Fibonacci levels, pivot points, or trend lines.
█ MACD Calculations and Scaling
The indicator is based on the classic MACD formula, which includes:
-MACD Line: The difference between the fast EMA (default: 12) and the slow EMA (default: 26).
-Signal Line: The EMA of the MACD line (default: 9).
-Histogram: The difference between the MACD line and the signal line.
Scaling is achieved by normalizing the MACD values relative to the standard deviation and the average candle range. This makes the lines and histogram dynamically adjust to market volatility, improving their readability and utility on the price chart. The scaling formulas are:
-MACD Scaled: macdNorm * avgRangeLines * scaleFactor
-Signal Scaled: signalNorm * avgRangeLines * scaleFactor
-Histogram Scaled: histNorm * avgRangeHist * scaleFactor
Where:
-macdNorm and signalNorm are the normalized MACD and signal line values.
-avgRangeLines and avgRangeHist are the average candle ranges.
-scaleFactor is the scaling multiplier (default: 2).
The positioning of the lines and histogram is relative to the candle midpoint (candleMid = (high + low) / 2), ensuring proper display on the price chart. Divergences are calculated based on the traditional MACD histogram (before scaling), maintaining consistency with standard divergence detection methodology.
█INDICATOR FEATURES
-Dynamic MACD and Signal Lines: Scaled and overlaid on the price chart, facilitating the identification of reversal points.
-Histogram: Displays the difference between the MACD and signal lines, dynamically adjusted to market volatility.
-Divergence Detection: Ability to detect regular and hidden divergences (bullish and bearish) based on the traditional MACD histogram, with options to enable/disable their display.
-Visual Customization: Options to adjust colors, line thickness, transparency, and enable/disable elements such as the zero line, MACD line, signal line, or histogram.
-Smoothing: Smoothing length for lines (default: 1) and histogram (default: 3). Smoothing may delay crossover signals, which should be considered during analysis.
-Alerts: Alert conditions for MACD and signal line crossovers, enabling notifications for potential buy/sell signals.
█ HOW TO SET UP THE INDICATOR
-Add the "MACD Scaled Overlay" indicator to your TradingView chart.
-Configure parameters in the settings, such as EMA lengths, scaling multiplier, or smoothing periods, to match your trading style.
-Enable or disable the display of the zero line, MACD line, signal line, or histogram based on your needs.
-Adjust colors and line thickness in the "Style" section and transparency settings in the input section to optimize visualization.
█ HOW TO USE
Add the indicator to your chart, configure the parameters, and observe the interactions of the price with the MACD line, signal line, and histogram to identify potential entry and exit points. Key signals include:
-MACD and Signal Line Crossovers: A crossover of the MACD line above the signal line may indicate a buy signal (bullish cross), while a crossover below the signal line may indicate a sell signal (bearish cross).
-Crossings Through the Price Line (Zero): The MACD line or histogram crossing the price line (candle midpoint) may indicate a change in momentum. For example, the histogram moving from negative to positive values near the price line may signal increasing bullish trend strength.
-Divergences: Detection of regular and hidden divergences (bullish and bearish) based on the traditional MACD histogram can help predict trend reversals. Divergences are not standalone signals, as they are delayed by the specified pivot length (default: 3). However, they help strengthen the significance of other signals, such as crossovers or support/resistance levels.
The indicator is most effective when combined with other tools, such as Fibonacci levels, pivot points, or support/resistance lines, to confirm signals.
Full Numeric Panel For Scalping – By Ali B.AI Full Numeric Panel – Final (Scalping Edition)
This script provides a numeric dashboard overlay that summarizes the most important technical indicators directly on the price chart. Instead of switching between multiple panels, traders can monitor all key values in a single glance – ideal for scalpers and short-term traders.
🔧 What it does
Displays live values for:
Price
EMA9 / EMA21 / EMA200
Bollinger Bands (20,2)
VWAP (Session)
RSI (configurable length)
Stochastic RSI (RSI base, Stoch length, K & D smoothing configurable)
MACD (Fast/Slow/Signal configurable) → Line, Signal, and Histogram shown separately
ATR (configurable length)
Adds Dist% column: shows how far the current price is from each reference (EMA, BB, VWAP etc.), with green/red coloring for positive/negative values.
Optional Rel column: shows context such as RSI zone, Stoch RSI cross signals, MACD cross signals.
🔑 Why it is original
Unlike simply overlaying indicators, this panel:
Collects multiple calculations into one unified table, saving chart space.
Provides numeric precision (configurable decimals for MACD, RSI, etc.), so scalpers can see exact values.
Highlights signal conditions (crossovers, overbought/oversold, zero-line crosses) with clear text or symbols.
Fully customizable (toggle indicators on/off, position of the panel, text size, colors).
📈 How to use it
Add the script to your chart.
In the input menu, enable/disable the metrics you want (RSI, Stoch RSI, MACD, ATR).
Match the panel parameters with your sub-indicators (for example: set Stoch RSI = 3/3/9/3 or MACD = 6/13/9) to ensure values are identical.
Use the numeric panel as a quick decision tool:
See if RSI is near 30/70 zones.
Spot Stoch RSI crossovers or extreme zones (>80 / <20).
Confirm MACD line/signal cross and histogram direction.
Monitor volatility with ATR.
This makes scalping decisions faster without losing precision. The panel is not a signal generator but a numeric assistant that summarizes market context in real time.
⚡ This version fixes earlier limitations (no more vague mashup, clear explanation of originality, clean chart requirement). TradingView moderators should accept it since it now explains:
What the script is
How it is different
How to use it practically
Interval Price AlertsInterval Price Alerts
A versatile indicator that creates horizontal price levels with customizable alerts. Perfect for tracking multiple price levels simultaneously without having to create individual horizontal lines manually.
Features:
• Create evenly spaced price levels between a start and end price
• Customizable price interval spacing
• Optional price labels with flexible positioning
• Alert capabilities for both price crossovers and crossunders
• Highly customizable visual settings
Settings Groups:
1. Price Settings
• Start Price: The lower boundary for price levels
• End Price: The upper boundary for price levels
• Price Interval: The spacing between price levels
2. Line Style
• Line Color: Choose any color for the price level lines
• Line Style: Choose between Solid, Dashed, or Dotted lines
• Line Width: Adjustable from 2-4 pixels (optimized for opacity)
• Line Opacity: Control the transparency of lines (0-100%)
3. Label Style
• Show Price Labels: Toggle price labels on/off
• Label Color: Customize label text color
• Label Size: Choose from Tiny, Small, Normal, or Large
• Label Position: Place labels on Left or Right side
• Label Background: Set the background color
• Background Opacity: Control label background transparency
• Text Opacity: Adjust label text transparency
4. Alert Settings
• Alert on Crossover: Enable/disable upward price cross alerts
• Alert on Crossunder: Enable/disable downward price cross alerts
Usage Tips:
• Great for marking key price levels, support/resistance zones
• Useful for tracking multiple entry/exit points
• Perfect for scalping when you need to monitor multiple price levels
• Ideal for pre-market planning and level setting
Notes:
• Line width starts at 2 for optimal opacity rendering
• Labels can be fully customized or hidden completely
• Alert messages include the symbol and price level crossed
Whale Money Flow DetectorKey Components:
Volume Analysis: Detects unusual volume spikes compared to average
Money Flow Index: Shows buying vs selling pressure
Whale Detection: Identifies large moves with high volume
Cumulative Flow: Tracks net whale activity over time
Visual Signals: Background colors and whale emoji labels
What it detects:
Large volume transactions (configurable multiplier)
Significant price moves with corresponding volume
Buying vs selling pressure from large players
Cumulative whale flow momentum
Customizable Parameters:
Volume MA Length (default: 20)
Whale Volume Multiplier (default: 2.0x)
Money Flow Length (default: 14)
Detection Sensitivity (default: 1.5)
Visual Features:
Green background for whale buying
Red background for whale selling
Whale emoji labels on significant moves
Real-time stats table
Multiple plot lines for different metrics
How to use:
Copy the code to TradingView's Pine Editor
Apply to your chart
Adjust sensitivity settings based on your asset's behavior
Set up alerts for whale buy/sell signals
Smoothed Basis Overview and Purpose
The script calculates a smoothed mid-range basis between the highest and lowest prices over a specified period, then applies a smoothing function (smoothed moving average) to show the trend direction or momentum in a less noisy way. The area between the basis and its smoothed value is color-filled to visually highlight when the basis is above or below the smoothed average, signaling potentially bullish or bearish momentum.
Indicator Setup
length = Period length for calculating the highest and lowest values.
signal = Smoothing period used to smooth the basis.
offset =Optional horizontal shift to the plots (default 0).
Core Calculations
lower = Finds the lowest low over the past length bars.
upper = Finds the highest high over the past length bars.
basis = Calculates the midpoint between the highest and lowest.
Smoothing Calculation (Smoothed Moving Average - SMMA)
Declares smma as 0.0 initially. If the previous smma value is not available (like on the first bar), initializes with a simple moving average of basis over signal bars. Else applies formula
which gives a smoother version of basis which reacts less to sudden changes.
Plotting and Color Fill
Plots the raw basis line and smoothed basis line .
Fills the area between the basis and smoothed basis lines:
Greenish fill if the basis is above the smoothed value (potentially bullish).
Reddish fill if the basis is below the smoothed value (potentially bearish).
Interpretation and Use
The indicator visually shows where price ranges are shifting by tracking the midpoint between recent highs and lows.
The smoothed basis serves as a trend or momentum filter by dampening noise in the basis line.
When the basis is above the smoothed line (green fill), it signals upward momentum or strength; below it (red fill) suggests downward momentum or weakness.
The length and signal parameters allow tuning for different timeframes or asset volatility.
In summary, this code creates a custom smoothed oscillator based on the midpoint range of price extremes, highlighting trend changes via color fills and smoothening price action noise with an SMMA.
Session AnchorsDescription
This indicator highlights the four main global trading sessions — London, New York AM, New York PM, and Asia — as color-coded boxes on the chart. Each session is defined by fixed start/end times (New York time) and dynamically updates with the evolving high and low during that interval. This provides a clear view of how volatility and structure shift as trading activity passes from one region to another.
How to use
• Works on any timeframe.
• Toggle sessions on/off based on your trading hours.
• Observe price behavior as one session closes and another opens.
• Use session boxes as context for liquidity, volatility, and structure analysis.
Originality
This script delivers a clean, customizable visualization of global market hours and session ranges, avoiding extra overlays so traders can isolate session-based behavior without distraction.
⚠️ Disclaimer
This indicator does not generate signals. It provides a structural mapping of global sessions for contextual analysis only.
BB + OBV + RSI Strategy (Enhanced + Daily Table) Script Brief – *BB + OBV + RSI Strategy (Enhanced + Daily Table)*
This TradingView Pine Script combines **Bollinger Bands (BB)**, **On-Balance Volume (OBV)**, **Relative Strength Index (RSI)**, and **Exponential Moving Average (EMA)** to help traders identify potential trend conditions and market strength.
**Key Features:**
* **Bollinger Bands** (20-period SMA ± 2 Std Dev by default) to track volatility and price extremes.
* **OBV & OBV Moving Average** to confirm buying or selling pressure.
* **RSI** to highlight overbought and oversold zones.
* **200 EMA** as a long-term trend filter.
* **Daily Comparison Table** (top-right corner):
* Displays today’s vs. yesterday’s values for Close, RSI, OBV vs MA, BB Position, and EMA Trend.
* Helps quickly assess whether momentum and trend conditions are strengthening or weakening.
**Usage:**
* The chart shows **BB lines and EMA** for real-time analysis on any timeframe.
* The **table provides higher-timeframe context** (daily values), making it easier to confirm signals across multiple timeframes.
* Best applied with backtesting and proper risk management.
ATR Move Tracker v1.0# ATR Move Tracker v1.0 - Purpose & Use Guide
## What Is This Indicator?
ATR Move Tracker v1.0 is a trading tool that shows you whether a stock has moved "enough" for the day based on its historical patterns. It answers the question: **"Has this stock moved its typical daily amount yet?"**
## The Core Purpose
Think of each stock as having a "daily personality" - some stocks naturally move $1 per day, others move $5 per day. This indicator:
- **Shows the stock's Daily ATR** (its typical daily movement over 14 days)
- **Tracks Today's Range** (how much it's actually moved today)
- **Displays the gap** between typical and actual movement
- **Provides visual progress** toward completing its normal daily range
## Practical Trading Applications
### **Entry Timing**
- **Low Progress (0-30%)**: Stock hasn't moved much yet - potential opportunity if you expect movement
- **Medium Progress (30-70%)**: Stock is moving normally - good for trend following
- **High Progress (70-100%+**: Stock has moved a lot - be cautious of exhaustion
### **Exit Planning**
- When the progress bar turns **green (100%+)**, the stock has exceeded its typical daily movement
- Consider taking profits or tightening stops when Daily ATR is reached or exceeded
- Use remaining "Need" amount to set realistic profit targets
### **Risk Management**
- **Today's Range much smaller than Daily ATR**: Potential for more volatility
- **Today's Range exceeds Daily ATR**: Stock may be overextended for the day
- Adjust position sizes based on how much of the Daily ATR has been "used up"
## Real-World Example
**Stock XYZ at 2:00 PM shows:**
- Daily ATR: $4.00 (typically moves $4/day)
- Daily Move: $2.50 (62%)
- Need: $1.50
- Progress Bar: 62% filled (orange)
**Interpretation:** XYZ has moved $2.50 of its typical $4.00 daily range. There's potentially $1.50 more movement available based on historical patterns.
## Key Benefits
✅ **Context for Price Movement**: Know if today's action is normal or unusual
✅ **Better Position Sizing**: Trade smaller when Daily ATR is nearly reached
✅ **Realistic Profit Targets**: Base targets on remaining Daily ATR potential
✅ **Works on All Timeframes**: See daily context even on 1-minute charts
✅ **Fully Customizable**: Position, colors, and ATR period adjustable
## Who Should Use This
- **Day Traders**: Perfect for intraday volatility context
- **Swing Traders**: Helps time entries based on daily movement patterns
- **Options Traders**: Understand if implied volatility expectations are being met
- **Any Trader**: Who wants to trade with historical volatility context
This isn't a buy/sell signal - it's **volatility intelligence** that helps you make better trading decisions based on what's normal for each stock!
Bollinger Bands Difference Score
Bollinger Bands Difference Score (TradingView – Pine Script v6)
The **Bollinger Bands Difference Score** is a volatility-based scoring system designed to help traders quickly assess whether a stock is in a **strong trend, neutral zone, or weak setup**. It transforms the raw **Bollinger Band Width (BB-Diff)** into a **normalized score (0–100)** and classifies conditions with intuitive thresholds.
---
### 🔹 What is Bollinger Bands Difference (BB-Diff)?
* **Bollinger Bands** are built from a moving average with upper and lower bands set by standard deviations.
* The **difference (or width)** between the bands reflects market volatility.
* A **high difference** = wide bands = strong volatility (breakout/trend).
* A **low difference** = narrow bands = low volatility (consolidation).
This indicator standardizes BB-Diff into a score and smooths it for cleaner signals.
---
### 🔹 Key Features
1. **BB-Diff Scoring System**
* Converts Bollinger Band width into a **0–100 normalized score**.
* Higher score → higher volatility/trend strength.
* Lower score → consolidation or weaker momentum.
2. **Signal Levels**
* **Strong Zone (≥ 70):** Indicates strong trend strength or expansion in volatility.
* **Neutral Zone (40–70):** Sideways or undecided price action.
* **Weak Zone (≤ 20):** Suggests very low volatility, potential upcoming squeeze.
3. **Score Smoothing**
* Applies a moving average to reduce noise.
* Helps avoid false signals during choppy markets.
4. **Visual Enhancements**
* Plots the score as a line (0–100 scale).
* Adds horizontal reference lines for **Strong**, **Neutral**, and **Weak** levels.
* Background colors automatically highlight **bullish strength (green)** or **weakness (red)**.
---
### 🔹 How to Use
* **Trend Confirmation:**
Look for scores **above 70** → suggests trend continuation or volatility breakout.
* **Consolidation Watch:**
Scores in the **20 or below** zone may precede volatility squeezes → breakout setups.
* **Neutral Zone:**
Scores between **40–70** suggest sideways price action; avoid aggressive trades.
* **Combine with Price Action:**
Use with support/resistance, candlestick patterns, or momentum indicators for confirmation.
---
### 🔹 Best Practices
* Great as a **volatility filter** before entries.
* Use in combination with **RSI, MACD, or OBV** for directional bias.
* Works well for **breakout trading** (when score rises from low levels).
* Monitor on multiple timeframes for alignment.
---
✅ **In summary:** The **Bollinger Bands Difference Score** is a simple yet powerful tool that quantifies volatility strength into an actionable score, making it easier to spot strong trends, consolidation phases, and potential breakout opportunities.
Nirvana True Duel전략 이름
열반의 진검승부 (영문: Nirvana True Duel)
컨셉과 철학
“열반의 진검승부”는 시장 소음은 무시하고, 확실할 때만 진입하는 전략입니다.
EMA 리본으로 추세 방향을 확인하고, 볼린저 밴드 수축/확장으로 변동성 돌파를 포착하며, OBV로 거래량 확인을 통해 가짜 돌파를 필터링합니다.
전략 로직
매수 조건 (롱)
20EMA > 50EMA (상승 추세)
밴드폭 수축 후 확장 시작
종가가 상단 밴드 돌파
OBV 상승 흐름 유지
매도 조건 (숏)
20EMA < 50EMA (하락 추세)
밴드폭 수축 후 확장 시작
종가가 하단 밴드 이탈
OBV 하락 흐름 유지
진입·청산
손절: ATR × 1.5 배수
익절: 손절폭의 1.5~2배에서 부분 청산
시간 청산: 설정한 최대 보유 봉수 초과 시 강제 청산
장점
✅ 추세·변동성·거래량 3중 필터 → 노이즈 최소화
✅ 백테스트·알람 지원 → 기계적 매매 가능
✅ 5분/15분 차트에 적합 → 단타/스윙 트레이딩 활용 가능
주의점
⚠ 횡보장에서는 신호가 적거나 실패 가능
⚠ 수수료·슬리피지 고려 필요
📜 Nirvana True Duel — Strategy Description (English)
Name:
Nirvana True Duel (a.k.a. Nirvana Cross)
Concept & Philosophy
The “Nirvana True Duel” strategy focuses on trading only meaningful breakouts and avoiding unnecessary noise.
Nirvana: A calm, patient state — waiting for the right opportunity without emotional trading.
True Duel: When the signal appears, enter decisively and let the market reveal the outcome.
In short: “Ignore market noise, trade only high-probability breakouts.”
🧩 Strategy Components
Trend Filter (EMA Ribbon): Stay aligned with the main market trend.
Volatility Squeeze (Bollinger Band): Detect volatility contraction & expansion to catch explosive moves early.
Volume Confirmation (OBV): Filter out false breakouts by confirming with volume flow.
⚔️ Entry & Exit Conditions
Long Setup:
20 EMA > 50 EMA (uptrend)
BB width breaks out from recent squeeze
Close > Upper Bollinger Band
OBV shows positive flow
Short Setup:
20 EMA < 50 EMA (downtrend)
BB width breaks out from recent squeeze
Close < Lower Bollinger Band
OBV shows negative flow
Risk Management:
Stop Loss: ATR × 1.5 below/above entry
Take Profit: 1.5–2× stop distance, partial take-profit allowed
Time Stop: Automatically closes after max bars held (e.g. 8h on 5m chart)
✅ Strengths
Triple Filtering: Trend + Volatility + Volume → fewer false signals
Mechanical & Backtestable: Ideal for objective trading & performance validation
Adaptable: Works well on Bitcoin, Nasdaq futures, and other high-volatility markets (5m/15m)
⚠️ Things to Note
Low signal frequency or higher failure rate in sideways/range markets
Commission & slippage should be factored in, especially on lower timeframes
ATR multiplier and R:R ratio should be optimized per asset
All-In-One: RSI+MACD+ATR+ADX+OBVThis script plots RSI, MACD, ATR , ADX and OBV for additional confirmation to enter trades. This is very useful for free TV subscribers
Big Gong Reminder Assistant 大的要来小助手我是大的要来了小助手，我负责提醒大家大的要来了
I’m the Gong Reminder bot—here to alert everyone when the big gong is coming.
Anrazzi - EMAs/ATR - 1.0.2Description:
The Anrazzi - EMAs/ATR indicator is a versatile tool for technical traders looking to monitor multiple moving averages alongside the Average True Range (ATR) on any chart. Designed for simplicity and customization, it allows traders to visualize up to six moving averages with configurable type, color, and length, while keeping real-time volatility information via ATR directly on the chart.
This indicator is perfect for spotting trends, identifying support/resistance zones, and gauging market volatility for intraday or swing trading strategies.
Key Features:
Supports up to six independent moving averages (MA1 → MA6)
Each MA is fully customizable:
Enable/disable individually
Type: EMA or SMA
Length
Color
ATR Display:
Custom timeframe
Color and position configurable
Adjustable multiplier
Compact and organized settings for easy configuration
Lightweight and efficient code for smooth chart performance
Watermark
Inputs / Settings:
MA Options: MA1 → MA6 (Enable/Disable, Type, Length, Color)
Additional Settings: ATR (Enable, Timeframe, Color, Multiplier)
How to Use:
Enable the moving averages you want to track
Configure type, length, and color for each MA
Enable ATR if needed and adjust settings
Watch MAs plotted dynamically and ATR in bottom-right corner
Recommended For:
Day traders and swing traders
Trend-following strategies
Volatility analysis and breakout detection
Traders needing a compact multi-MA dashboard
MTF Levels [OmegaTools]📖 Introduction
The Ω Levels Indicator is a complete market structure and level-mapping framework designed to help traders identify key zones where price is likely to react.
It blends classic technical anchors (VWAP, pivots, means, standard deviations) with modern statistical pattern recognition to dynamically project areas of manipulation, extension, and equilibrium.
At its core, Ω Levels creates an evolving map of market balance vs. imbalance, showing traders where liquidity is most likely to build and where price could pivot or accelerate.
But what makes it truly unique is the Pivot Forecaster — an embedded predictive engine that applies machine-learning inspired logic to recognize conditions that historically precede market turning points.
🔎 Key Features
Customizable Levels Framework
Define up to three levels (manipulation, extensions, VWAP, pivots, stdev bands, or prior extremes).
Choose mean references such as Open, VWAP, Pivot Mean, or Previous Session Mean.
Style controls (solid, dotted, dashed) and fill modes (internal, external, ranges) allow you to adapt the chart to your visual workflow.
Dynamic Zone Highlighting
Automatic fills between internal/external levels, or between specific level pairs (1–2, 1–3, 2–3).
Makes it easy to visualize value areas, expansions, and compression zones at a glance.
Multi-Timeframe Anchoring
Works on any timeframe, but calculations can be anchored to a higher timeframe (e.g., show daily VWAP & pivots on a 15m chart).
This allows traders to align intraday execution with higher timeframe context.
Pivot Forecaster (Machine Learning / Pattern Recognition)
This is the advanced predictive component.
The algorithm collects historical conditions observed around pivot highs and lows (volume state, ATR state, % candle expansion, oscillator conditions).
It then builds statistical “profiles” of typical pivot behavior and compares them in real-time against current market conditions.
When conditions match the “signature” of a pivot, the indicator highlights a Forecast Pivot High or Forecast Pivot Low (displayed as small diamond markers).
This functions as a pattern-recognition system, effectively learning from past pivots to anticipate where the next turning point is more likely to occur.
⚡ How Traders Can Use It
Intraday Execution: Use VWAP, manipulation, and extension levels to frame trades around liquidity zones.
Swing Context: Overlay higher timeframe pivots and means to guide medium-term positioning.
Fade Setups: Forecasted pivots often coincide with exhaustion zones where fading momentum carries edge.
Breakout Validation: When price breaks a structural level but the forecaster does not confirm a pivot, continuation probability is higher.
Risk Management: Levels provide natural stop/target placements, while pivot forecasts serve as warning signals for potential reversals.
⚙️ Settings Overview
Timeframe: Choose the anchor timeframe for calculations (default: Daily).
Means: Two selectable mean references (Open, VWAP, Pivot Point, Previous Mean).
Levels: Three levels can be customized (Manipulation, Extension, 1–2 StDev, Pivot Point, VWAP, Previous Extremes).
Fill Modes: Highlight zones between internal/external levels or custom ranges.
Visual Customization: Colors, line styles, fill opacity, and toggle for old levels.
Pivot Forecaster: Fully automated — no settings required, it adapts to instrument and timeframe.
🧭 Best Practices
Align Levels With Market Profile: Treat the levels as dynamic S/R zones and watch how price interacts with them.
Use Forecaster as Confirmation: The diamonds are not standalone signals; they are context filters that help you decide whether a move has higher reversal odds.
Higher Timeframe Anchoring: On intraday charts, set the timeframe to Daily or Weekly to trade with institutional levels.
Combine With ATR: Pair with the Ω ATR Indicator to size positions according to volatility while Ω Levels provides the structural roadmap.
📌 Summary
The Ω Levels Indicator is more than a level plotter — it’s a market map + predictive engine.
By combining traditional levels with an intelligent pivot forecaster, it gives traders both the static structure of where price should react, and the dynamic signal of where it is likely to react next.
This dual-layer approach — structural + predictive — makes it an invaluable tool for discretionary intraday traders, swing traders, and anyone who wants to anticipate price behavior instead of just reacting to it.
