True Market MeanTrue Market Mean (Optimized) - User Guide
📋 Overview
The True Market Mean (TMM) indicator is a sophisticated multi-timeframe market analysis tool that approximates the "true" market equilibrium price by combining perspectives from different market participants. It helps identify potential support/resistance levels and trend direction changes.
🎯 Concept
The TMM calculates a weighted average of four key market perspectives:
Realized Price - Long-term cost basis (350-period SMA)
Long-Term Holder Proxy - Very long-term perspective (1400-period EMA)
Short-Term Holder Proxy - Recent market activity (50-period WMA)
Momentum Proxy - Market sentiment and trend strength
⚙️ Input Parameters
Time Periods
Realized Price Period (350): Long-term cost basis calculation
Long-term Holder Period (1400): Very long-term market perspective
Short-term Holder Period (50): Recent price action
Momentum Period (200): Trend strength measurement
Weighting System
Base Weight Realized Price (0.35): Primary long-term anchor
Base Weight LTH (0.30): Long-term trend component
Base Weight STH (0.25): Short-term market activity
Base Weight Momentum (0.10): Trend strength influence
Features
Use Dynamic Weighting: Automatically adjusts weights based on market volatility
Show Information Table: Displays real-time data table
Show Alternative TMM: Shows secondary calculation method
📊 Interpretation
Primary Signals
Bullish Signal (Green Triangle ↑): Price crosses above TMM
Bearish Signal (Red Triangle ↓): Price crosses below TMM
Strong Signals: Solid colored triangles (strong conviction)
Weak Signals: Light colored triangles (weaker conviction)
Market States
Green Background: Price above TMM (bullish regime)
Red Background: Price below TMM (bearish regime)
Information Table
The table (top-right) shows:
Primary and Alternative TMM values
Current market status (BULLISH/BEARISH)
Price deviation from TMM (%)
TMM trend direction (RISING/FALLING)
Market volatility level (LOW/MEDIUM/HIGH)
🎨 Visual Elements
Lines
Orange Line: Primary TMM calculation
Purple Line: Alternative TMM calculation (if enabled)
Background
Light green: Bullish territory (price > TMM)
Light red: Bearish territory (price < TMM)
💡 Trading Applications
Trend Identification
Bullish Trend: Price consistently above rising TMM
Bearish Trend: Price consistently below falling TMM
Range-bound: Price oscillating around flat TMM
Support/Resistance
TMM often acts as dynamic support/resistance
Significant deviations from TMM may indicate overbought/oversold conditions
Entry/Exit Signals
Long Entry: Strong bullish signal with price above TMM
Short Entry: Strong bearish signal with price below TMM
Exit/Stop: Price crossing back below/above TMM
⚠️ Risk Management
Use TMM in conjunction with other indicators
Consider volatility levels when interpreting signals
Strong signals in high volatility may be more significant
Always use proper stop-losses
🔧 Customization Tips
For Day Trading
Reduce all periods (e.g., 50, 200, 20, 50)
Increase STH weight for more sensitivity
For Swing Trading
Use default periods
Balanced weights work well
For Long-term Investing
Increase LTH and Realized Price periods
Give more weight to long-term components
Volatility Adjustments
In high volatility markets, dynamic weighting automatically emphasizes momentum
In low volatility, long-term components dominate
📈 Performance Tips
Best Timeframes: 4H, Daily, Weekly for reliable signals
Asset Classes: Works well with stocks, crypto, forex
Market Conditions: Effective in both trending and ranging markets
Confirmation: Combine with volume analysis for stronger signals
🚀 Advanced Features
Dynamic Weighting
When enabled, the indicator automatically:
Increases momentum weight during high volatility
Emphasizes long-term components in stable markets
Adapts to changing market conditions
Alternative TMM
The purple line uses price deviation instead of momentum rate-of-change, providing:
Different sensitivity to market moves
Additional confirmation of primary signals
Alternative perspective on market equilibrium
❗❗❗ Limitations❗❗❗
Lagging indicator (based on moving averages)
Works best in conjunction with other tools
May give false signals during low-volume periods
Requires parameter optimization for different assets
🔄 Optimization
Experiment with:
Period lengths based on your trading style
Weight distributions for different market conditions
Enabling/disabling alternative TMM based on preference
Table display based on screen space
المتوسطات المتحركة
Uptrick: Dynamic Z-Score DivergenceIntroduction
Uptrick: Dynamic Z-Score Divergence is an oscillator that combines multiple momentum sources within a Z-Score framework, allowing for the detection of statistically significant mean-reversion setups, directional shifts, and divergence signals. It integrates a multi-source normalized oscillator, a slope-based signal engine, structured divergence logic, a slope-adaptive EMA with dynamic bands, and a modular bar coloring system. This script is designed to help traders identify statistically stretched conditions, evolving trend dynamics, and classical divergence behavior using a unified statistical approach.
Overview
At its core, this script calculates the Z-Score of three momentum sources—RSI, Stochastic RSI, and MACD—using a user-defined lookback period. These are averaged and smoothed to form the main oscillator line. This normalized oscillator reflects how far short-term momentum deviates from its mean, highlighting statistically extreme areas.
Signals are triggered when the oscillator reverses slope within defined inner zones, indicating a shift in direction while the signal remains in a statistically stretched state. These mean-reversion flips (referred to as TP signals) help identify turning points when price momentum begins to revert from extended zones.
In addition, the script includes a divergence detection engine that compares oscillator pivot points with price pivot points. It confirms regular bullish and bearish divergence by validating spacing between pivots and visualizes both the oscillator-side and chart-side divergences clearly.
A dynamic trend overlay system is included using a Slope Adaptive EMA (SA-EMA). This trend line becomes more responsive when Z-Score deviation increases, allowing the trend line to adapt to market conditions. It is paired with ATR-based bands that are slope-sensitive and selectively visible—offering context for dynamic support and resistance.
The script includes configurable bar coloring logic, allowing users to color candles based on oscillator slope, last confirmed divergence, or the most recent signal of any type. A full alert system is also built-in for key signals.
Originality
The script is based on the well-known concept of Z-Score valuation, which is a standard statistical method for identifying how far a signal deviates from its mean. This foundation—normalizing momentum values such as RSI or MACD to measure relative strength or weakness—is not unique to this script and is widely used in quantitative analysis.
What makes this implementation original is how it expands the Z-Score foundation into a fully featured, signal-producing system. First, it introduces a multi-source composite oscillator by combining three momentum inputs—RSI, Stochastic RSI, and MACD—into a unified Z-Score stream. Second, it builds on that stream with a directional slope logic that identifies turning points inside statistical zones.
The most distinctive additions are the layered features placed on top of this normalized oscillator:
A structured divergence detection engine that compares oscillator pivots with price pivots to validate regular bullish and bearish divergence using precise spacing and timing filters.
A fully integrated slope-adaptive EMA overlay, where the smoothing dynamically adjusts based on real-time Z-Score movement of RSI, allowing the trend line to become more reactive during high-momentum environments and slower during consolidation.
ATR-based dynamic bands that adapt to slope direction and offer real-time visual zones for support and resistance within trend structures.
These features are not typically found in standard Z-Score indicators and collectively provide a unique approach that bridges statistical normalization, structure detection, and adaptive trend modeling within one script.
Features
Z-Score-based oscillator combining RSI, StochRSI, and MACD
Configurable smoothing for stable composite signal output
Buy/Sell TP signals based on slope flips in defined zones
Background highlighting for extreme outer bands
Inner and outer zones with fill logic for statistical context
Pivot-based divergence detection (regular bullish/bearish)
Divergence markers on oscillator and price chart
Slope-Adaptive EMA (SA-EMA) with real-time adaptivity based on RSI Z-Score
ATR-based upper and lower bands around the SA-EMA, visibility tied to slope direction
Configurable bar coloring (oscillator slope, divergence, or most recent signal)
Alerts for TP signals and confirmed divergences
Optional fixed Y-axis scaling for consistent oscillator view
The full setup mode can be seen below:
Input Parameters
General Settings
Full Setup: Enables rendering of the full visual system (lines, bands, signals)
Z-Score Lookback: Lookback period for normalization (mean and standard deviation)
Main Line Smoothing: EMA length applied to the averaged Z-Score
Slope Detection Index: Used to calculate directional flips for signal logic
Enable Background Highlighting: Enables visual region coloring in
overbought/oversold areas
Force Visible Y-Axis Scale: Forces max/min bounds for a consistent oscillator range
Divergence Settings
Enable Divergence Detection: Toggles divergence logic
Pivot Lookback Left / Right: Defines the structure of oscillator pivot points
Minimum / Maximum Bars Between Pivots: Controls the allowed spacing range for divergence validation
Bar Coloring Settings
Bar Coloring Mode:
➜ Line Color: Colors bars based on oscillator slope
➜ Latest Confirmed Signal: Colors bars based on the most recent confirmed divergence
➜ Any Latest Signal: Colors based on the most recent signal (TP or divergence)
SA-EMA Settings
RSI Length: RSI period used to determine adaptivity
Z-Score Length: Lookback for normalizing RSI in adaptive logic
Base EMA Length: Base length for smoothing before adaptivity
Adaptivity Intensity: Scales the smoothing responsiveness based on RSI deviation
Slope Index: Determines slope direction for coloring and band logic
Band ATR Length / Band Multiplier: Controls the width and responsiveness of the trend-following bands
Alerts
The script includes the following alert conditions:
Buy Signal (TP reversal detected in oversold zone)
Sell Signal (TP reversal detected in overbought zone)
Confirmed Bullish Divergence (oscillator HL, price LL)
Confirmed Bearish Divergence (oscillator LH, price HH)
These alerts allow integration into automation systems or signal monitoring setups.
Summary
Uptrick: Dynamic Z-Score Divergence is a statistically grounded trading indicator that merges normalized multi-momentum analysis with real-time slope logic, divergence detection, and adaptive trend overlays. It helps traders identify mean-reversion conditions, divergence structures, and evolving trend zones using a modular system of statistical and structural tools. Its alert system, layered visuals, and flexible input design make it suitable for discretionary traders seeking to combine quantitative momentum logic with structural pattern recognition.
Disclaimer
This script is for educational and informational purposes only. No indicator can guarantee future performance, and trading involves risk. Always use risk management and test strategies in a simulated environment before deploying with live capital.
RSI Hybrid Momentum (RSI + SMA SHORT + SMA LONG)RSI Hybrid Momentum Indicator
Overview
The RSI Hybrid Momentum Indicator is a custom technical analysis tool designed to enhance traditional RSI readings by incorporating short-, medium-, and long-term momentum signals using SMA overlays. It delivers clear visualization, trend interpretation, and an at-a-glance momentum state table for traders.
This indicator is optimized for dark/black chart backgrounds, offering well-contrasted colors and lightly shaded momentum regimes.
RSI Levels (Demarcation Lines)
Three important RSI thresholds are visually highlighted:
70 — Overbought (Red dashed line)
50 — Midline (Blue dotted line)
30 — Oversold (Green dashed line)
These levels help traders recognize trend strength, reversals, and potential price exhaustion zones.
Regime Shading
The indicator lightly shades the entire RSI panel based on overall momentum alignment:
Light Green Background → All three momentums are Bullish
Light Red Background → All three momentums are Bearish
No Shading → Mixed or neutral momentum conditions
This shading allows quick identification of strong trend periods.
Momentum Table
A clean, minimalistic 2-column table appears in the top-right of the panel.
Columns:
Type (Short, Medium, Long Momentum)
State (Bullish / Bearish)
Color Coding:
Green background → Bullish
Red background → Bearish
Light blue header for visibility on dark charts
This provides an instant snapshot of momentum alignment across time horizons.
Summary
This RSI Hybrid Momentum Indicator combines RSI and its moving averages into a powerful, visually clean analytical tool. With:
Clear distinctions between short, medium, and long-term momentum
Smart color choices for black backgrounds
Lightly shaded trend regimes
A neat summarizing table
…it provides both clarity and depth, making RSI analysis more robust and actionable.
Daily vs Monthly VWAP CrossoverDaily vs Monthly VWAP Crossover Strategy
Description:
Overview This indicator is a trend-following tool designed to identify significant shifts in market sentiment by comparing short-term institutional value against the longer-term trend. It utilizes Anchored VWAP (Volume Weighted Average Price) logic to track the average price paid by traders for the current Day versus the current Month.
How It Works Unlike standard Moving Averages which lag significantly, VWAP factors in volume, making it a preferred benchmark for institutional traders.
Daily VWAP (Fast Line): Anchors at the start of the current trading day. It represents the intraday equilibrium price.
Monthly VWAP (Slow Line): Anchors at the start of the current month. It represents the broader value consensus for the month.
The indicator calculates these values cumulatively on every tick/bar, regardless of the chart timeframe selected (e.g., 30m, 1h).
Trading Logic & Signals The strategy is based on the concept of value migration:
BUY Signal (Bullish Reversal): Triggers when the Daily VWAP crosses ABOVE the Monthly VWAP. This suggests that short-term buying pressure and volume are pushing the price higher than the monthly average cost basis, indicating a potential breakout or trend continuation.
SELL Signal (Bearish Reversal): Triggers when the Daily VWAP crosses BELOW the Monthly VWAP. This indicates that intraday weakness has dragged the price below the month's average value, signaling potential downside momentum.
Features
Visual Crossovers: Clearly marked "B" (Buy) and "S" (Sell) labels on the chart.
Trend Background: The background color changes subtly (Green/Red) to indicate the current dominance of the Daily vs. Monthly trend.
Alerts: Fully compatible with TradingView alerts for real-time notifications on crossovers.
Best Practices
Timeframe: Designed optimally for intraday charts such as 30-minute or 1-hour timeframes.
Confirmation: As with any VWAP strategy, this works best when combined with price action analysis (e.g., breakout of key resistance) rather than used blindly in choppy, sideways markets.
##Liquidity weighted Supertrend with MA Ribbon by AngelVery useful 2 indicators in 1. 2 liquidity weighted supertrends; all customizable settings to your likings and a 4 ma ribbon. MA 1 and 2 gives you buy/sell signal on the crossover and added a background trend color change for easy visual of price trend! enjoy!
Multi Time Frame EMA & MA IndicatorThis indicator automatically applies prime-number EMAs and MAs based on the current chart timeframe, using faster cool-tone EMAs and slower warm-tone MAs to clearly distinguish momentum vs trend.
It adapts dynamically for 1m, 5m, 15m, 1H, 4H, and 1D charts, and uses a visual hierarchy where thinner lines represent faster averages and thicker lines represent slower ones, ensuring clarity in both light and dark themes.
An on-chart label displays which EMA and MA lengths are active for the selected timeframe.
Custom MA Break → Retest → ContinueCatch breakouts and continuation moves with precision! This indicator highlights key levels, retests, and signals actionable long and short opportunities—all on one chart
Features:
Arrows and labels show potential long and short entries
Configurable MA types (SMA, EMA, SMMA, WMA) and lengths
Retest logic filters false breakouts
Alternating signals prevent repeated entries
Usage:
Ideal for trending markets. Combine with support/resistance or volume for additional confirmation. Invite-only: source code is secure and hidden.
EMA 5/10/20/34/55/60/120/255Overview
- Plots eight Exponential Moving Averages on the price chart: EMA(5/10/20/34/55/60/120/255) .
- Designed for light (white) theme with high-contrast colors and uniform linewidth=1 .
- Written in Pine Script v6 ( overlay=true ), no alerts or extra visuals.
Why These Lengths
- 5, 10 : Short-term momentum and intraday rhythm.
- 20, 34 : Swing trend and pullback structure (34 is Fibonacci-based).
- 55, 60 : Deeper swing/weekly alignment commonly used by trend traders.
- 120, 255 : Mid/long-term trend filters (~half-year and ~annual trading days).
How To Read
- Trend filter: Price above EMA(120/255) favors bullish context; below favors bearish.
- Alignment: Strong bull trend when 5 > 10 > 20 > 34 > 55 > 60 > 120 > 255 and slopes up; inverse for bear trends.
- Pullbacks: Shallow pullbacks often respect 5/10 ; standard pullbacks 20/34 ; deeper tests 55/60 .
- Slope matters: Up/flat/down slopes of the longer EMAs ( 120/255 ) reflect trend strength more reliably than single crossovers.
Typical Use Cases
- Trend following: Trade in the direction of 120/255 and the stacked EMA order.
- Pullback entries: Look for stabilizing price action around 20/34 within a trend.
- Breakout confirmation: Sustain above/below a key EMA, then retest and hold.
- Risk management: Place stops beyond nearby EMAs, optionally buffered by ATR.
Tips
- Use the Data Window to identify each EMA line by its title ( EMA(5) , EMA(10) , etc.).
- Combine with volatility/strength filters (e.g., ATR, ADX) to reduce range-bound noise.
- Multi-timeframe consistency (e.g., higher TF EMA(255) aligned with current TF EMA(55/60) ) improves selectivity.
Limitations
- All moving averages are lagging by design; expect delayed signals.
- In consolidations, frequent crossovers can create whipsaws; apply filters or focus on slope and structure.
Disclaimer
- For educational purposes only. Not financial advice. Always validate on your instruments and timeframes and manage risk accordingly.
Advanced Triple Strategy ScalperHere are the three scalping strategies presented in the video "3 Scalping Strategies That Work Every Day (Backtested & Proven)" by Asia Forex Mentor – Ezekiel Chew:
### Scalper’s Trend Filter (Triple EMA)
This strategy uses three EMAs (25, 50, 100) on the 5-minute chart to filter high-probability trades aligned with momentum .
- Only trade when all three EMAs are angled in the same direction and clearly separated (no crossing or tangling) .
- Enter when price pulls back toward the 25 or 50 EMA and then bounces back toward the 25 EMA, but do not enter if price closes below the 100 EMA .
- Set stop-loss just below the 50 EMA or swing low and aim for a risk-to-reward ratio of 1:1.5 .
### Flip Zone Trap (Reversal Catching)
This method identifies precise reversal moments where market structure shifts from weakness to strength .
- Use the 15-min chart to locate key support or resistance zones where price previously reacted .
- Wait for price to stop making lower lows and begin making higher highs (or vice versa for shorts); confirm with a trendline break AND follow-through (higher lows & highs within 5-7 candles) .
- Use confirmation candles (bullish engulfing, pin bar rejection) at the zone before entry .
### Liquidity Shift Trigger (Smart Money Trap)
This system leverages institutional stop hunts and liquidity sweeps at key zones for sniper entries .
- Start with a 15-min chart to identify structure breaks and points of interest (order blocks, flip zones, demand zones) .
- Drop to 1-min chart and wait for price to enter the refined zone and sweep liquidity (sharp wick/spike below/above key level) .
- Once liquidity is swept, wait for a clean structure shift (break of most recent internal high or low) within 5–6 candles—if confirmed, refine entry to the candle that caused the break and enter when price returns to that candle with a strong reaction .
***
### Practical Application
- These strategies are systematic, rule-based, and designed to cut out fake moves, avoid early stop-outs, and align entries with momentum and institutional activity .
- Perfect for short timeframes and volatile pairs like XAUUSD, especially if paired with additional confirmation from other technical analysis tools .
All three strategies emphasize filtering noise, waiting for momentum/trend confirmation, and avoiding impulsive entries—key principles for consistent scalping success
Piku Pips📌 Piku Pips — Multi-Confluence Smart Signal System (EMA + Supertrend + Volume Profile + ATR Trailing + SR + RSI Climax Engine)
Piku Pips is a complete multi-confluence trading system designed for scalpers, intraday traders, and swing traders who rely on precision entries and institutional-grade confirmation layers.
This indicator combines trend, momentum, volatility, volume imbalance, structure breaks, smart money pivots, and exhaustion events—into a single unified charting system.
It does NOT repaint, supports alerts, and works across all assets (crypto, forex, indices, stocks).
🔥 What Makes This Indicator Special?
Piku Pips is built on stacked confluences instead of single-indicator signals.
Each signal is only printed when multiple conditions align, significantly increasing accuracy and reducing noise.
It includes:
✔ Trend Identification
Fast & Slow EMA cross
SuperTrend with custom ATR & factor
Parabolic SAR for micro-trend confirmation
ATR-based trailing stop engine (dual version for Buy & Sell)
✔ Momentum Confirmation
RSI Midline model
HH/LL structure detection
Bull/Bear volume imbalance model
✔ Smart Volume Analysis
Bullish vs Bearish VWMA volume
Flat-volume filters
RSI + Volume Spike + MFI exhaustion detection (Climax Module)
✔ Institutional Structure Mapping
Dynamic Support & Resistance
Automatic Zone Strength Ranking
Breakout detection with zone coloring
Pivot-based structure scanning
✔ Exhaustion + Divergence Engine (Climax Module)
RSI / Stochastic RSI hybrid
Macro trend smoothing (EMA/RMA/SMA/WMA selectable)
High-precision RSI divergence detection (HH/LH and LL/HL)
Volume spike detection
Buy Climax (potential top)
Sell Climax (potential bottom)
This module acts like a “smart momentum brain” that identifies major reversals.
🎯 Signal Logic (Simplified)
🔹 Buy Signal (Green Triangle)
Triggered when:
Fast EMA crosses above Slow EMA
Higher High structure forms
RSI > midline or crosses above it
Volume profile is bullish
SuperTrend is bullish (direction < 0)
🔹 Sell Signal (Red Triangle)
Triggered when:
Fast EMA crosses below Slow EMA
Lower Low structure forms
RSI < midline or crosses below it
Volume profile is bearish
SuperTrend is bearish (direction > 0)
🔸 Secondary ATR Signals (Orange & Maroon)
Uses Heikin-Ashi ATR trailing stop
Detects micro-shifts in trend momentum
Works excellent in scalping timeframes
🧠 Support & Resistance Engine
The script builds dynamic SR zones based on:
Pivot clustering
Channel width filtering
Strength scoring
Automated sorting and plotting
Zones:
Red tint = Resistance
Green tint = Support
Gray tint = Neutral / In-Play
Alerts trigger on clean SR breaks.
⚡ Climax Module (Exhaustion System)
This system overlays major exhaustion points:
🔻 Buy Climax
High-volume upward exhaustion → potential top.
🔺 Sell Climax
High-volume downward exhaustion → potential bottom.
🔼 RSI Divergences
Bullish divergence labeled "RSI⬆"
Bearish divergence labeled "RSI⬇"
Combined, these give early insight into possible reversals.
🛠 Inputs Overview
📌 Trend Inputs
Fast EMA Length
Slow EMA Length
SuperTrend ATR + Factor
SAR multipliers
Buy/Sell ATR trailing stop parameters
📌 Momentum Inputs
RSI length / midline
Bull/Bear volume variance filter
HH/LL confirmation
📌 Structure Inputs
Pivot sensitivity
Max SR Zones
Loopback length
Zone strength minimum
📌 Climax Module Inputs
RSI / Stochastic lengths
Smoothing method (EMA, SMA, RMA, WMA)
Macro trend slope settings
Pivot sensitivity for divergence
Volume spike multiplier
MFI thresholds
Bull/Bear RSI levels
📈 How to Use Piku Pips
Best Use-Cases:
Scalping (1m–15m)
Intraday (15m–1H)
Swing trading (4H–1D)
Crypto / Forex / Indices / Stocks
Recommended Approach
Trade in direction of EMA + Supertrend + Macro RSI regime.
Enter when Piku Buy/Sell signal aligns with the trend.
Use SR zones as targets or invalidation levels.
Watch Climax signals for tops & bottoms.
Use divergence signals for early reversals.
🔔 Alerts Included
Buy Signal
Sell Signal
ATR Buy / Sell
Buy Climax
Sell Climax
RSI Divergence (bullish & bearish)
All-Signals alert
⚠️ Disclaimer
This indicator is created for educational purposes only and does not constitute financial advice.
Trading involves risk. Do your own research and backtesting before using any tool in live markets.
Timeframe Fast EMA Slow EMA ATR Period Factor RSI Length Overbought/Oversold
5 Min 9 21 10 2 8 80 / 20
15 Min 10 25 10 2.5 10 75/25
1 Hour 20 50 14 3 12 70/30
4 Hour 21 50 14 3 14 70/30
1 Day 20 100 14 3.5 14 70/30
Please use this settings for accurate results
3x Moving Averages with Optional Background FillThree MAs with toggles to fill MA2–MA1 and MA3–MA2.
below is Japanese too.
English
This Pine Script plots three moving averages—MA1, MA2, MA3—each with its own type, length, source, color, and offset. You can independently toggle background fills between MA2–MA1 and MA3–MA2.
- Common MA function: Selects calculation among SMA, EMA, SMMA, WMA, VWMA.
- Inputs: Each MA group defines settings; MA2 has a toggle for filling MA2–MA1, MA3 has a toggle for filling MA3–MA2.
- Computation: Each MA is computed only when its type isn’t “None”.
- Plotting: Three plot lines, hidden if disabled.
- Background fill: Uses translucent colors; fill(p1, p2, ...) for MA2–MA1 and fill(p2, p3, ...) for MA3–MA2, gated by their toggles.
Behavior notes: If either line in a pair is disabled, that fill won’t show. Different offsets can shift visuals; keep offsets aligned for clean fills.
日本語
このPineスクリプトは3本の移動平均（MA1・MA2・MA3）を描画し、各ラインに対してタイプ、期間、ソース、色、オフセットを個別設定できます。背景塗りはMA2とMA1、MA3とMA2のペアでそれぞれオン／オフ可能です。
- 共通MA関数: SMA、EMA、SMMA、WMA、VWMAから計算方式を選択。
- 入力: 各MAグループで設定を持ち、MA2は「MA2–MA1塗り」、MA3は「MA3–MA2塗り」のトグルを備えます。
- 計算: タイプが「None」でない場合のみ各MAを算出。
- 描画: 3本のplotで表示し、無効時は非表示。
- 背景塗り: 透過色を使用し、fill(p1, p2, ...)でMA2–MA1、fill(p2, p3, ...)でMA3–MA2を塗り、各トグルで制御します。
注意点: ペアのどちらかが無効なら塗りは出ません。オフセットが異なると塗り位置がずれるため、揃えると見やすくなります。
SMA Cross + KC Breakout + ATR StopThis is the same script previously published with the exception of utilizing SMA vs EMA for those who prefer that moving average type.
SimpleAlgo V3.1SimpleAlgo V3.1 – Adaptive Trend, Signals, and Market Context
Overview
SimpleAlgo V3.1 combines an adaptive trail system, range-based signal engine, MACD-driven candle coloring, ATR reversal zones, and optional structure tools into one framework. It is designed to help visualize trend direction, potential reversal areas, and trade planning levels in a single overlay.
Adaptive Trail System
V3.1 includes a volatility-adjusted trail based on a modified true range calculation.
This trail switches between long and short states and can highlight trend shifts, pullbacks, and areas where price is extended relative to recent movement. Optional Fibonacci-style projections around the trail provide additional visual context.
Signal Engine
The script uses a range-filtered price model to generate potential long and short signals.
Signals appear when filtered price, direction, and persistence conditions align. These entries are meant as points of interest rather than standalone trade instructions and should be confirmed with the broader context.
Candle Coloring (MACD-Based)
MACD and histogram values are used to color candles according to momentum strength.
This helps quickly see when momentum is building, fading, or switching sides without relying on separate subcharts.
Reversal Zones (ATR Bands)
ATR-based reversal zones are calculated around a smoothed midline.
Multiple upper and lower bands highlight where price may be stretched relative to its recent volatility profile. These zones can help identify potential reaction or exhaustion areas.
Support, Resistance, and Structure
Optional pivot-based levels mark recent support and resistance.
Swing markers (HH, HL, LH, LL) can be displayed to visualize swing structure and trend progression over time. These tools are there to support structure analysis rather than predict future price.
Momentum Bands and Trend Ribbon
Short-term “momentum energy” bands and a simple trend ribbon can be enabled to reinforce direction and strength.
These layers help confirm alignment between short-term movement and the underlying trend.
Custom MAs and Previous Day Levels
Users can add custom moving averages and display previous day high, low, and close levels.
These elements give additional reference points for intraday and swing decision-making.
Position Management (TP/SL Framework)
When a percentage stop is set, V3.1 can draw a visual framework of entry, stop, and multiple profit targets based on the distance between entry and stop.
This is a planning tool only; it does not place orders or manage trades.
Info Panel
An optional information panel summarizes trend direction, strength, volume sentiment, and volatility as simple percentage-style metrics.
This provides a quick snapshot of current conditions without leaving the chart.
Alerts
Alert conditions are available for:
– Long Entry
– Short Entry
– Any Signal
– Overbought and Oversold conditions (RSI-based)
Customization and Use
All major components (signals, trail, zones, structure tools, MAs, previous day levels, panel) can be toggled on or off.
SimpleAlgo V3.1 is best used as a contextual framework: identify trend, observe where price sits relative to the trail and zones, then use signals and structure as supporting information within a complete trading plan.
Disclaimer
This indicator is for technical analysis and educational purposes only. It does not predict future price or guarantee results. All trading involves risk and should be managed accordingly.
Turtle System 2 (55/20) + N-Stop + MTF Table V7.2🐢 Description: Turtle System 2 (55/20) IndicatorThis indicator implements the trading signals of the Turtle Trading System 2 based on the classic Donchian Channels, supplemented by a historically correct, volatility-based Trailing Stop (N-Stop) and a Multi-Timeframe (MTF) status overview. The script was developed in Pine Script v6 and is optimized for performance and robustness.📊 Core Logic and ParametersThe indicator is based on the rule-based trend-following system developed by Richard Dennis and William Eckhardt, utilizing the more aggressive Entry/Exit parameters of System 2:FunctionParameterValueDescriptionEntry$\text{Donchian Breakout}$$\mathbf{55}$Buy/Sell upon breaking the 55-day High/Low.Exit (Turtle)$\text{Donchian Breakout}$$\mathbf{20}$Close the position upon breaking the 20-day Low/High.Volatility$\mathbf{N}$ (ATR Period)$\mathbf{20}$Calculation of market volatility using the Average True Range (ATR).Stop-LossMultiplier$\mathbf{2.0} BER:SETS the initial and Trailing Stop at $\mathbf{2N}$.🛠️ Technical Implementation1. Correct Trailing Stop (Section 4)In contrast to many flawed implementations, the Trailing Stop is implemented here according to the Original Turtle Logic. The stop price (current_stop_price) is not aggressively tied to the current low or high. Instead, at the close of each bar, it is only trailed in the direction of the trade (math.max for long positions) based on the formula:$$\text{New Trailing Stop} = \text{max}(\text{Previous Stop}, \text{Close} \pm (2 \times N))$$This ensures the stop is only adjusted upon sustained positive movement and is not prematurely triggered by short-term, deep price shadows.2. Reliable Multi-Timeframe (MTF) Logic (Section 6)The MTF section utilizes global var int variables (mtf_status_1h, mtf_status_D, etc.) in conjunction with the request.security() function.Purpose: Calculates and persistently stores the current Turtle System 2 status (LONG=1, SHORT=-1, FLAT=0) for the timeframes 1H, 4H, 8H, 1D, and 1W.Advantage: By persistently storing the status using the var variables, the critical error of single-update status is eliminated. The states shown in the table are reliable and accurately reflect the Turtle System's position status on the respective timeframes.3. Visual ComponentsDonchian Channels: The entry (55-period) and exit (20-period) channels are drawn with color highlighting.N-Stop Line: The dynamically calculated Trailing Stop ($\mathbf{2N}$) is displayed as a magenta line.Visual Signals: plotshape markers indicate Entry and Exit points.MTF Table: A compact status summary with color coding (Green/Red/Gray) for the higher timeframes is displayed in the upper right corner.
3CRGANG - MA TRENDOverview
The "3CRGANG - MA TREND" is a next-generation multi-timeframe moving average system that evolves the classic MA into a fully adaptive trend-following channel with visual depth. It combines a dynamic ATR-scaled envelope (inner + outer bands), optional proximity-based ribbons, and a powerful multi-timeframe dashboard that instantly shows trend alignment across Yearly → 5-minute charts. Traders can seamlessly switch between a thin, clean MA line (modify = 0.05–0.3) and a wide, high-probability channel (modify = 1.0–2.0) while preserving perfect visual continuity when changing timeframes — a feature unique to this script.
Ideal for swing traders, scalpers, and position traders who demand one single indicator that works flawlessly on M1 through Monthly charts without constant re-adjustment.
How It's Built: Core Concepts and Calculations
The engine revolves around a base moving average (user-selectable: SMA, EMA, HMA, RMA, WMA) calculated on HL2, then wrapped with volatility-scaled ribbons.
The MODIFY parameter is the breakthrough: it acts as a timeframe-normalization factor.
Example:
• 12-period on 15M with MODIFY = 0.33 → visually identical channel width to
• 36-period on 5M with MODIFY = 1.0
This eliminates the usual headache of recalculating periods when switching timeframes.
Additional layers:
Proximity Ribbons (optional): Three fast MAs (base, ⅔×period, ¼×period) filled between price and the ribbons with ATR-buffered smoothing. When price is far from the ribbon → transparency increases → clean chart; when price hugs the ribbon → strong color intensity.
Trend-State Coloring: In “TREND STATE” mode the entire channel instantly flips to bullish green or bearish red the moment price exits the inner band — giving immediate visual confirmation of momentum shifts.
Multi-Timeframe Dashboard: Uses proper request.security() calls inside a function to calculate exact trend state (bullish / bearish / ranging + direction) on 11 timeframes simultaneously. Displays as color-coded circles (green/red/yellow/orange) so you see higher-timeframe bias at a glance. (Note: on daily+ timeframes the last incomplete candle may repaint depending on broker RTH settings — common to all MTF scripts.)
Why It's Useful
One indicator replaces 5–10 separate MAs/channels because the MODIFY factor keeps the visual “feel” identical across timeframes.
The double-channel (inner + outer) acts like a built-in “Dragon” or “Keltner + Bollinger hybrid” — price respecting the inner band = strong trend, rejecting the outer band = exhaustion/reversal zones.
Ribbons dramatically improve readability during trending markets (bright green/red clouds) while automatically fading in chop to reduce noise.
The dashboard instantly reveals confluence: e.g., if Daily–Weekly–Monthly are all green while you’re on 15M, probability of continuation skyrockets.
Full light/dark theme support + full custom color control over every color/transparency.
How to Use It
Add to chart → choose your favorite MA type and starting period (12–20 works great on most assets).
Adjust MODIFY:
• 0.05–0.33 → thin trend/channel line (scalping/clean charts)
• 0.33–1.00 → balanced channel
• 1.00–2.00 → wide channel
When switching timeframes, simply multiply/divide your period by the timeframe ratio and reset MODIFY to 1.0 — the channel will look identical.
Enable “TREND STATE” color mode = instant momentum confirmation.
Enable Ribbons for aggressive trending markets; disable for cleaner reversal setups.
Read the dashboard like a heatmap — look for alignment of green or red circles from higher timeframes downward.
Why It's Unique and Worth Invite-Only Access
Most MA/channel scripts are static: fixed period, fixed multiplier, no timeframe normalization, no intelligent ribbon fading, no proper MTF dashboard without repainting bugs.
This script solves all those problems in one cohesive system:
Proprietary MODIFY normalization algorithm (not found in any public script)
ATR-buffered ribbon transparency engine that only a handful of private scripts attempt
Clean, broker-independent MTF dashboard with correct request.security usage
Full device-aware theming and mobile optimization
These refinements took hundreds of hours of testing across forex, indices, stocks, futures, and crypto. Releasing the exact logic publicly would allow instant cloning, removing the edge that users pay for. The invite-only model guarantees continuous updates, priority support, and keeps the indicator performing at elite level without saturation.
Perfect for serious traders who want one moving average tool that truly works on every chart and every timeframe — without compromise.
Faraz Perfect Structure Scalper + Long Short (Indicator Alerts)XL/XS = Swing-quality trend continuation signals
Buy/Sell Scalp = TEMA+MACD-based fast scalp entries
Designed for MNQ/NQ but can be used on any instrument.
_______
What this script does
Plots structure-based levels (support/resistance, breakout, stop levels).
Marks perfect trend entries as XL (long) and XS (short) using structure + RSI + MACD + 200 EMA trend.
Marks base Long/Short signals as earlier, more aggressive entries.
Adds scalper signals (Buy Scalp / Sell Scalp) based on a TEMA + MACD momentum engine (inspired by ITG style logic) for fast in–out trades.
________
How I use it
I trade scalps primarily from the Buy/Sell Scalp triangles.
I use XL/XS and the structure bands to understand higher-quality swing entries and where price is likely to react.
I avoid trading when price is in the orange “no-add zone” between structure and breakout.
Warning
Futures are highly leveraged. Backtest and forward-test any setup first.
Scalper signals are designed for quick execution with tight risk management.
SMI Color Red/Green📌 TradingView Description – SMI Red/Green Momentum Line
🔥 Stochastics Momentum Index (SMI) – Dynamic Red/Green Version
This indicator is an enhanced and modernized version of the Stochastic Momentum Index (SMI), designed to deliver a more visual, intuitive, and responsive view of trend momentum.
It includes:
✔️ Smoothed SMI
✔️ Dynamic Red/Green momentum coloring
✔️ Signal EMA line
✔️ Overbought/Oversold zones with shading
🎨 Dynamic Red/Green SMI Line
The main SMI line automatically changes color based on momentum direction:
Green → Bullish momentum (SMI rising)
Red → Bearish momentum (SMI falling)
This provides instant visual feedback and highlights early momentum changes even before traditional signal-line crossovers.
📉 Indicator Structure
1️⃣ Smoothed SMI
The SMI is calculated using the price’s position inside its range and then smoothed with an SMA to reduce noise.
2️⃣ EMA Signal Line
A customizable EMA acts as a signal line, providing:
Clear bullish/bearish crossovers
Trend confirmation
Cleaner entry/exit signals
3️⃣ Overbought / Oversold Zones
Extreme levels are highlighted using color-filled zones:
Red Zone (Overbought) → potential bearish reversal
Green Zone (Oversold) → potential bullish reversal
Levels are fully adjustable.
💡 How to Use It
The indicator works exceptionally well across all timeframes.
The most powerful signals are:
✔️ SMI crossing above/below the EMA
SMI crosses above EMA → bullish signal
SMI crosses below EMA → bearish signal
✔️ Leaving Overbought/Oversold zones
SMI exits the oversold zone → potential long setup
SMI exits the overbought zone → potential short setup
✔️ Color shifts (momentum direction)
Red → Green : early bullish momentum
Green → Red : early bearish momentum
Perfect for scalping, day trading, and swing trading.
🚀 Why This Version Is Better
Extremely visual momentum reading
Noise reduction through smoothing
Instantly readable color-coded trend
Strong OB/OS zone visualization
Works on any market and timeframe
Great in combination with RSI, MACD, HMA, ALMA, and trend filters
If you'd like, I can also write:
🔹 a SEO-optimized title,
🔹 recommended TradingView tags,
🔹 or a shorter promotional description.
Hash Momentum IndicatorHash Momentum Indicator
Overview
The Hash Momentum Indicator provides real-time momentum-based trading signals with visual entry/exit markers and automatic risk management levels. This is the indicator version of the popular Hash Momentum Strategy, designed for traders who want signal alerts without backtesting functionality.
Perfect for: Live trading, automation via alerts, multi-indicator setups, and clean chart visualization.
What Makes This Indicator Special
1. Pure Momentum-Based Signals
Captures price acceleration in real-time - not lagging moving average crossovers. Enters when momentum exceeds a dynamic ATR-based threshold, catching moves as they begin accelerating.
2. Automatic Risk Management Visualization
Every signal automatically displays:
Entry level (white dashed line)
Stop loss level (red line)
Take profit target (green line)
Partial TP levels (dotted green lines)
3. Smart Trade Management
Trade Cooldown: Prevents overtrading by enforcing waiting period between signals
EMA Trend Filter: Only trades with the trend (optional)
Session Filters: Trade only during Tokyo/London/New York sessions (optional)
Weekend Toggle: Avoid low-liquidity weekend periods (optional)
4. Clean Visual Design
🟢 Tiny green dot = Long entry signal
🔴 Tiny red dot = Short entry signal
🔵 Blue X = Long exit
🟠 Orange X = Short exit
No cluttered labels or dashboard - just clean signals
5. Professional Alerts Ready
Set up TradingView alerts for:
Long signals
Short signals
Long exits
Short exits
How It Works
Step 1: Calculate Momentum
Momentum = Current Price - Price
Normalized by standard deviation for consistency
Must exceed ATR × Threshold to trigger
Step 2: Confirm Acceleration
Momentum must be increasing (positive momentum change)
Price must be moving in signal direction
Step 3: Apply Filters
EMA Filter: Long only above EMA, short only below EMA (if enabled)
Session Filter: Check if in allowed trading session (if enabled)
Weekend Filter: Block signals on Sat/Sun (if enabled)
Cooldown: Ensure minimum bars passed since last signal
Step 4: Generate Signal
All conditions met = Entry signal fires
Lines automatically drawn for entry, stop, and targets
Step 5: Exit Detection
Opposite momentum detected = Exit signal
Stop loss or take profit hit = Exit signal
Lines removed from chart
⚙️ Settings Guide
Core Strategy
Momentum Length (Default: 13)
Number of bars for momentum calculation. Higher values = stronger signals but fewer trades.
Aggressive: 10
Balanced: 13
Conservative: 18-24
Momentum Threshold (Default: 2.25)
ATR multiplier for signal generation. Higher values = only trade the biggest momentum moves.
Aggressive: 2.0
Balanced: 2.25
Conservative: 2.5-3.0
Risk:Reward Ratio (Default: 2.5)
Your target profit as a multiple of your risk. With 2.2% stop and 2.5 R:R, your target is 5.5% profit.
Conservative: 3.0+ (need 25% win rate to profit)
Balanced: 2.5 (need 29% win rate to profit)
Aggressive: 2.0 (need 33% win rate to profit)
Donchian Predictive Channel (Zeiierman)█ Overview
Donchian Predictive Channel (Zeiierman) extends the classic Donchian framework into a predictive structure. It does not just track where the range has been; it projects where the Donchian mid, high, and low boundaries are statistically likely to move based on recent directional bias and volatility regime.
By quantifying the linear drift of the Donchian midline and the expansion or compression rate of the Donchian range, the indicator generates a forward propagation cone that reflects the prevailing trend and volatility state. This produces a cleaner, more analytically grounded projection of future price corridors, and it remains fully aligned with the signal precision of the underlying Donchian logic.
█ How It Works
⚪ Donchian Core
The script first computes a standard Donchian Channel over a configurable Length:
Upper Band (dcHi) – highest high over the lookback.
Lower Band (dcLo) – lowest low over the lookback.
Midline (dcMd) – simple midpoint of upper and lower: (dcHi + dcLo)/ 2.
f_getDonchian(length) =>
hi = ta.highest(high, length)
lo = ta.lowest(low, length)
md = (hi + lo) * 0.5
= f_getDonchian(lenDC)
⚪ Slope Estimation & Range Dynamics
To turn the Donchian Channel into a predictive model, the script measures how both the midline and the range are changing over time:
Midline Slope (mSl) – derived from a 1-bar difference in linear regression of the midline.
Range Slope (rSl) – derived from a 1-bar difference in linear regression of the Donchian range (dcHi − dcLo).
This pair describes both directional drift (uptrend vs. downtrend) and range expansion/compression (volatility regime).
f_getSlopes(midLine, rngVal, length) =>
mSl = ta.linreg(midLine, length, 0) - ta.linreg(midLine, length, 1)
rSl = ta.linreg(rngVal, length, 0) - ta.linreg(rngVal, length, 1)
⚪ Forward Projection Engine
At the last bar, the indicator constructs a set of forward points for the mid, upper, and lower projections over Forecast Bars:
The midline is projected linearly using the midline slope per bar.
The range is adjusted using the range slope per bar, creating either a widening cone (expansion) or a tightening cone (compression).
Upper and lower projections are then anchored around the projected midline, with logic that keeps the structure consistent and prevents pathological flips when slope changes sign.
f_generatePoints(hi0, md0, lo0, steps, midSlp, rngSlp) =>
upPts = array.new()
mdPts = array.new()
dnPts = array.new()
fillPts = array.new()
hi_vals = array.new_float()
md_vals = array.new_float()
lo_vals = array.new_float()
curHiLocal = hi0
curLoLocal = lo0
curMidLocal = md0
segBars = math.floor(steps / 3)
segBars := segBars < 1 ? 1 : segBars
for b = 0 to steps
mdProj = md0 + midSlp * b
prevRange = curHiLocal - curLoLocal
rngProj = prevRange + rngSlp * b
hiTemp = 0.0
loTemp = 0.0
if midSlp >= 0
hiTemp := math.max(curHiLocal, mdProj + rngProj * 0.5)
loTemp := math.max(curLoLocal, mdProj - rngProj * 0.5)
else
hiTemp := math.min(curHiLocal, mdProj + rngProj * 0.5)
loTemp := math.min(curLoLocal, mdProj - rngProj * 0.5)
hiProj = hiTemp < mdProj ? curHiLocal : hiTemp
loProj = loTemp > mdProj ? curLoLocal : loTemp
if b % segBars == 0
curHiLocal := hiProj
curLoLocal := loProj
curMidLocal := mdProj
array.push(hi_vals, curHiLocal)
array.push(md_vals, curMidLocal)
array.push(lo_vals, curLoLocal)
array.push(upPts, chart.point.from_index(bar_index + b, curHiLocal))
array.push(mdPts, chart.point.from_index(bar_index + b, curMidLocal))
array.push(dnPts, chart.point.from_index(bar_index + b, curLoLocal))
ptSet.new(upPts, mdPts, dnPts)
⚪ Rejection Signals
The script also tracks failed Donchian breakouts and marks them as potential reversal/reversion cues:
Signal Down: Triggered when price makes an attempt above the upper Donchian band but then pulls back inside and closes above the midline, provided enough bars have passed since the last signal.
Signal Up: Triggered when price makes an attempt below the lower Donchian band but then snaps back inside and closes below the midline, also requiring sufficient spacing from the previous signal.
// Base signal conditions (unfiltered)
bearCond = high < dcHi and high >= dcHi and close > dcMd and bar_index - lastMarker >= lenDC
bullCond = low > dcLo and low <= dcLo and close < dcMd and bar_index - lastMarker >= lenDC
// Apply MA filter if enabled
if signalfilter
bearCond := bearCond and close < ma // Bearish only below MA
bullCond := bullCond and close > ma // Bullish only above MA
signalUp := false
signalDn := false
if bearCond
lastMarker := bar_index
signalDn := true
if bullCond
lastMarker := bar_index
signalUp := true
█ How to Use
The Donchian Predictive Channel is designed to outline possible future price trajectories. Treat it as a directional guide, not a fixed prediction tool.
⚪ Map Future Support & Resistance
Use the projected upper and lower paths as dynamic future reference levels:
Projected upper band ≈ is likely a resistance corridor if the current trend and volatility persist.
Projected lower band ≈ likely support corridor or expected downside range.
⚪ Trend Path & Volatility Cone
Because the projection is driven by midline and range slopes, the channel behaves like a trend + volatility cone:
Steep positive midline slope + expanding range → accelerating, high-volatility trend.
Flat midline + compressing range → coiling/contracting regime ahead of potential expansion.
This helps you distinguish between a gentle drift and an aggressive move that likely needs more risk buffer.
⚪ Reversion & Rejection Signals
The Donchian-based signals are especially useful for mean-reversion and fade-style trades.
A Signal Down near the upper band can mark a failed breakout and a potential rotation back toward the midline or the lower projected band.
A Signal Up near the lower band can flag a failed breakdown and a potential snap-back up the channel.
When Filter Signals is enabled, these signals are only generated when they align with the chart’s directional bias as defined by the moving average. Bullish signals are allowed only when the price is above the MA, and bearish signals only when the price is below it.
This reduces noise and helps ensure that reversions occur in harmony with the prevailing trend environment.
█ Settings
Length – Donchian lookback length. Higher values produce a smoother channel with fewer but more stable signals. Lower values make the channel more reactive and increase sensitivity at the cost of more noise.
Forecast Bars – Number of bars used for projecting the Donchian channel forward.
Higher values create a broader, longer-term projection. Lower values focus on short-horizon price path scenarios.
Filter Signals – Enables directional filtering of Donchian signals using the selected moving average. When ON, bullish signals only trigger when the price is above the MA, and bearish signals only trigger when the price is below it. This helps reduce noise and aligns reversions with the broader trend context.
Moving Average Type – The type of moving average used for signal filtering and optional plotting.
Choose between SMA, EMA, WMA, or HMA depending on desired responsiveness. Faster averages (EMA, HMA) react quickly, while slower ones (SMA, WMA) smooth out short-term noise.
Moving Average Length – Lookback length of the moving average. Higher values create a slower, more stable trend filter. Lower values track price more tightly and can flip the directional bias more frequently.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
3MA Slope Detection_三均线斜率侦测Detect the slope of the moving average and change its color to determine whether it has entered a trend or is consolidating.
100+ BTC Tracker + 182-Day Dormant (6-Month HODL)Instantly see what the biggest Bitcoin whales are doing — and exactly how much of the supply has been completely untouched for 6 full months or longer (182+ days), the strictest and most respected definition of true HODLing.
What this indicator shows you in real time:
Number of wallets holding ≥100 BTC (~15,800 whales)
Total Bitcoin controlled by these whales (~3.25 million BTC)
6-Month Dormant Supply — Bitcoin that hasn’t moved in 182+ days (~14.1 million BTC)
6-Month Dormant % — What percentage of circulating supply is truly locked away
Why 182 days matters:
The 6-month threshold (≈182 days) is the industry-standard cutoff used by Glassnode, CryptoQuant, and analysts worldwide to define ultra-long-term holders. These are the coins least likely to ever hit exchanges — the ultimate measure of conviction and scarcity.
Key features:Live or fallback? — Instantly know if you’re seeing real-time on-chain data (green) or verified backup values (yellow)
Works on free accounts — No paid data subscription required (though it becomes even more accurate with Glassnode/CryptoQuant add-ons)
Clean, non-intrusive design — Three bold plots + sleek dark table in the top-right corner
Always up to date — Fallback values manually verified as of November 21, 2025
Perfect for:
Spotting whale accumulation/distribution phases
Tracking real Bitcoin scarcity during bull or bear markets
Confirming long-term holder conviction before big moves
Add it to any BTC chart and instantly understand who really controls Bitcoin — and how much of it is locked away forever by the strongest hands in crypto.
