HaP MACDHaP MACD - Advanced DEMA Assisted Signal Indicator
Overview
The HaP MACD is an evolution of the classic MACD, designed for traders who demand faster response times and clearer trend visualisations. By integrating DEMA (Double Exponential Moving Average) logic into the standard MACD framework, this indicator filters out noise and highlights momentum shifts with a unique color-coded dot system.
How It Works
The indicator calculates two types of MACD: a standard one for the main lines and a DEMA-based one for signal generation. This dual approach ensures you stay in the trend while being alerted the moment the momentum starts to fade.
Visual Guide & Color Logic
The signal dots are placed directly on the MACD line to guide your decisions:
🔵 Blue Dot: The Entry Signal. Appears when DEMA conditions first align for a bullish move.
🟢 Green Dot: Strong Momentum. The trend is active and the MACD value is increasing.
🟠 Orange Dot: Warning Signal. The bullish trend is still active, but the momentum is slowing down (MACD is lower than the previous bar).
🔴 Red Dot: Exit Signal. The bullish condition has ended. It’s time to consider closing the position or tightening stops.
Key Features
Reduced Lag: DEMA integration provides earlier signals than standard EMA-based MACDs.
Trend Monitoring: Easily distinguish between a healthy trend (Green) and a tiring trend (Orange).
Customizable: Choose between EMA and SMA for both the oscillator and signal calculations.
Crossover Markers: Optional triangle markers for classic MACD crossovers (can be enabled in settings).
Oszillatoren
Gold Sniper V21 + ATR (SMART FILTER)This is the Indicator to combine my Gold Sniper V21 + ATR Filter
How to use the Indicator :
- Recommend to use in M30 Chart.
- Very simple just follow the BUY/SELL Signal once appear. This indicator I try to filter as much as I can for the fake signal.
- Feel free to comment if you found any need to improve
B + A + D v0.4This script combines a momentum histogram (B-Xtrender) with trend strength and direction filters (ADX + DI).
The histogram is built from EMA differentials processed through RSI, showing short- and long-term momentum shifts around the zero line. ADX with DI+ / DI− is used to confirm whether the market is trending and in which direction.
Bullish signals appear when the histogram turns positive and DI+ dominates DI− with sufficient trend strength.
Bearish signals appear when the histogram turns negative and DI− dominates DI+ with sufficient trend strength.
Important note for users:
The strongest and most reliable signals are those that appear immediately after the histogram crosses the zero line (from negative to positive or from positive to negative). Signals that appear later, while the histogram is already extended in the trend, tend to be weaker and should be treated as continuation signals rather than high-probability reversals.
Credits:
Special thanks to the authors of the original concepts and scripts:
Mass Sentiment & Contrarian (Only Signals)
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📘 Contrarian Mass Sentiment Indicator Manual
This indicator is designed to identify moments of psychological exhaustion in the market. Its philosophy is "buy panic and sell euphoria."
1. Where and how is the data taken from?
The indicator analyzes three real-time data sources to filter the signals:
• Psychology (RSI): We use the Relative Strength Index (RSI) to measure the speed and change in price movements.
• If the RSI is very high (>70-75), the "mass" is overbuying (greed).
• If the RSI is very low (<25-30), the "mass" is overselling (panic).
• Price Action (Candlesticks): It is not enough for the RSI to be at an extreme. The indicator looks for reversal patterns (Hammer, Shooting Star, or Engulfing candlesticks). This confirms that the price has indeed found a top or bottom.
• Price Action (Candlesticks): It is not enough for the RSI to be at an extreme. The indicator looks for reversal patterns (Hammer, Shooting Star, or Engulfing candlesticks). This confirms that the price has actually found a top or bottom.
• Price Action (Candlesticks): • Market Effort (Volume): At "Strong" levels, the indicator requires volume to exceed its 20-period moving average. This identifies a volume climax, which typically marks the end of a move.
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2. User Manual: Signal Interpretation
The indicator classifies opportunities according to their probability of success:
A. Intensity Levels
Label Strength Meaning Suggested Action
F-VTA / F-CPA Strong Maximum euphoria/panic + Volume + Reversal candle. High probability signal. Look for immediate entry.
M-VTA / M-CPA Medium Standard overload level + Reversal candle. Solid technical confirmation. Trade in favor of the structure.
D-VTA / D-CPA Weak The RSI is just beginning to reverse from moderate levels. Early warning. Do not enter without confirmation using other tools.
B. Trade Execution (Contrarian)
1. Location: Wait for a label to appear. The best are the Strong (F) or Medium (M) lines.
2. Stop Loss: Always place it a few pips/points above the high of the signal candle (for selling) or below the low (for buying).
3. Take Profit: * Target 1: The mid-RSI level (50).
or Target 2: The opposite RSI band (if you sold at 70, aim to close at 30).
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3. Golden Tips
• Avoid sideways markets: In very narrow ranges, the RSI can give false signals ("wobbling"). Look for signals that occur after a clear and extended trend.
• Timeframes: The indicator is most reliable on 15-minute, 1-hour, and 4-hour timeframes. On the 1-minute timeframe, market "noise" can generate constant weak signals.
• Confluence: If you see an F-VTA (Strong Sell) signal right at a historical price resistance, the probability of success increases dramatically.
RSI Structure Engine (Aggressive Soft) | It measures the direction (trend) and turning points of the market via RSI(7).
But unlike the classic RSI:
It doesn't say "sell at 70 - buy at 30" ❌
Instead:
It reveals the STRUCTURE of the RSI (HH–HL / LH–LL).
That is:
Is there a trend?
Is the trend continuing?
Has the trend ended?
It divides the RSI into 3 zones:
Zone Meaning
RSI ≥ 70 Strong upward momentum (peak regime)
RSI ≤ 30 Strong downward momentum (bottom regime)
30–70 Transition / breathing space
But the key point is this 👇
The bottom/top RSI is FOLLOWED within these regimes, it doesn't lock in immediately.
What and How
🔺 🔻 Locked RSI peak/trough
HH/HL RSI upward trend
LH/LL RSI downward trend
Small points being followed (not yet locked)
If RSI HL breaks, the trend ends
WHAT YOU SHOULDN'T DO?
❌ Don't assume it's a buy-sell indicator alone
❌ Don't short just because you see RSI 70
❌ Don't long just because you see RSI 30
This indicator:
Answers the question "Which side should I be on?"
It doesn't say "Enter right here"
TREND FILTER (MAIN USE)
LONG LOOK:
Last structure: HH + HL
RSI doesn't fall below 30
🔻 HL is protected
SHORT LOOK:
Last structure: LH + LL
RSI cannot rise above 70
🔺 LH is protected
❌ Don't take a trade in the opposite direction.
Quant VWAP System 3.8 This is the lower-indicator companion to the "Quant VWAP System." While the main chart tells you where the price is, this oscillator tells you how statistically significant the move is.
It uses a Z-Score algorithm to normalize price action. This means it ignores dollar amounts and instead measures how many Standard Deviations (SD) the price is away from its mean (VWAP). This allows you to instantly spot "Overbought" or "Oversold" conditions on any asset (Bitcoin, Forex, or Stocks) without needing to guess.
Key Features:
1. Normalized Extremes (The "Kill Zones")
±2.0 SD: These dotted lines represent statistical extremes. When the signal line crosses above +2.0, the asset is mathematically expensive (Overbought). When it crosses below -2.0, it is mathematically cheap (Oversold).
The Logic: Price rarely sustains movement beyond 2 Standard Deviations without a reversion or a pause.
2. The Squeeze Radar (Yellow Dots)
Volatility Detection: A row of Yellow Dots appearing on the center line indicates a "Squeeze."
What it means: The Standard Deviation bands are compressing. Energy is building.
Warning: DO NOT trade Mean Reversion when you see Yellow Dots. A squeeze often leads to a violent breakout. Wait for the dots to disappear to confirm the direction of the explosion.
3. Momentum Coloring
Green Line: Z-Score is rising (Bullish Momentum).
Red Line: Z-Score is falling (Bearish Momentum).
This helps you spot divergences (e.g., Price makes a Higher High, but the Oscillator makes a Lower High = Exhaustion).
How to Trade with It
Strategy A: The "Zero Bounce" (Trend Continuation)
Scenario: You are in a Bull Trend.
Signal: The Oscillator line pulls back to the Zero Line (White), turns Green, and curls upward.
Meaning: Price has tested the average (VWAP) and buyers have stepped in. This is a high-probability entry for trend continuation.
Strategy B: The "Extreme Fade" (Reversion)
Scenario: The Oscillator pushes deep into the Red Zone (+2.0 SD).
Signal: The line turns Red and crosses back down below the +2.0 dotted line. A small Red Triangle will appear.
Meaning: The statistical extension has failed, and price is likely snapping back to the mean.
Strategy C: Squeeze Breakout
Scenario: Yellow Dots appear on the center line.
Action: Stop trading. Wait.
Signal: The dots disappear, and the line shoots aggressively through +1.0 SD (Long) or -1.0 SD (Short). Ride the momentum.
Market Exhaustion [WavesUnchained]Market Exhaustion
Multi-oscillator exhaustion detector combining MFI + optional CCI, HTF bias, StochRSI timing, and a divergence engine with an Exhaustion Score (0-100).
CORE CONCEPT
- Detects exhaustion via regular divergences anchored on price pivots
- Scores each divergence (0-100) using 5 components
- Line width = quality, color = direction (never thicker than main line)
OSCILLATOR MODES
- MFI : Engine uses MFI only
- CCI : Engine uses CCI mapped to 0-100
- MFI+CCI : Both plotted, engine source selectable (MFI or CCI)
EXHAUSTION SCORE (0-100)
1. Sequence (Div 1/2/3...) - repeated attempts increase score
2. Fatigue - no new oscillator extreme over lookback
3. Formation Time - bars between pivots
4. Reaction - post-divergence bounce/drop vs ATR
5. Impulse - MFI/CCI delta + swing size
DIVERGENCE ENGINE
- Price-pivot anchored (LL/HH) with osc confirmation (HL/LH)
- OS/OB gating with dynamic zones + fallback to 20/80
- Tolerant direction checks (price + osc eps)
- Auto cleanup (max objects)
HTF CONTEXT
- Auto-HTF MFI bias label
- Optional HTF filter for signals
- Bias bonus (optional) for Exhaustion Score
SIGNALS & TIMING
- StochRSI timing + MFI zone confirmation
- Context + timing signals (L/S markers)
- Zone confirm bars
VISUALIZATION
- Color-coded MFI line (OB/OS/neutral)
- Optional CCI (mapped 0-100) line
- Divergence line width = quality, endpoint markers
- Optional mid-label with score
- Dynamic zones + optional fill
BEST USE CASES
- Reversal scouting at extremes
- Filtering weak swings
- 15M-4H swing exhaustion reads
- HTF bias + divergence confluence
Version: 1.0.0
Author: WavesUnchained
Pine Script: v6
BTC - AUI 1: Macro Sentiment & On-Chain CompositeBTC - AUI 1: Macro Sentiment & On-Chain Composite | RM
Overview & Philosophy The AUI 1 ( Another Ultimate Indicator, Volume 1 ) is a 10-pillar quantitative composite designed to solve the "noise problem" in Bitcoin analysis. Most traders fail because they rely on a single metric in isolation. The AUI 1 aggregates ten distinct dimensions of the network — from speculative flow to institutional extension — into a singular 0–100 score.
The 10-Pillar Quant Framework
Each pillar is mathematically normalized to a standardized 0 to 10 scale . The sum of these pillars creates the final 0–100 index:
1. BEAM (Adaptive Logarithmic Multiple)
• Method: Log-deviation from the 4-year cycle mean.
• Logic: Measures price distance from its fundamental growth curve.
(Credit: BitcoinEcon)
2. MVRV Z-Score (Statistical Distance)
• Method: Standard deviations between Market Cap and Realized Cap.
• Logic: Identifies historical "Fair Value" vs. "Bubble" extremes.
(Credit: M. Mahmudov & D. Puell)
3. Metcalfe’s Law (Network Utility)
• Method: Logarithmic scaling of Active Addresses.
• Logic: Ensures price growth is supported by actual user adoption.
(Credit: T. Peterson)
4. RHODL Proxy (Speculative Flow)
• Method: Supply rotation intensity between HODLers and New Money.
• Logic: Cycle peaks are defined by "Old Money" distributing to "New Money."
(Credit: Philip Swift)
5. AXIS Momentum (Structural Trend Intensity)
• Method: Dual-speed Rate of Change (RoC) fusion engine.
• Logic: Identifies the acceleration and "torque" of the macro trend.
(Credit: Rob_Maths)
6. Mayer Multiple (Institutional Extension)
• Method: Raw distance from the 200-day SMA.
• Logic: Tracks the primary anchor used by institutional mean-reversion desks.
(Credit: Trace Mayer)
7. Unrealized Profit (Financial Pressure)
• Method: Absolute MVRV Ratio mapping.
• Logic: Measures the financial "stress" or "greed" held by the average holder.
8. Retail Participation (Psychology Proxy)
• Method: Inverted Log-Average Transaction Size (USD).
• Logic: Declining transaction sizes historically signal retail FOMO (Euphoria).
9. Volatility Overextension (Structural Risk)
• Method: 30-day Standard Deviation relative to the mean.
• Logic: High-intensity volatility clusters often precede cycle trend-shifts.
10. Macro RSI (Cycle Maturity)
• Method: High-timeframe momentum saturation levels.
• Logic: Identifies the statistical "Buying Exhaustion" of a macro move.
(Credit: J. Welles Wilder Jr.)
How to Read the AXIS Quadrants
The AUI 1 uses a Seamless Heatmap to categorize the market into four specific macro regimes:
❄️ 0–25: FROZEN (Deep Blue) Maximum Opportunity. Structural capitulation where only long-term conviction remains. Historically the "Generational Wealth" window.
🔵 25–50: DISCOUNT (Light Blue to Gray) Value Accumulation. The market is cooling down; risk is mathematically low, and the network is building a structural floor.
🟠 50–75: EXPANSION (Gray to Orange) Trend Acceleration. Healthy bullish growth supported by network utility and positive momentum.
🔥 75–100: SCORCHED (Orange to Deep Red) Terminal Euphoria. Maximum Risk zone. Speculative FOMO is at its peak; the market is fundamentally overextended.
The Orange Signal Line
To filter short-term noise, the AUI 1 includes a Signal Smoothing Line (Parametrizable).
• Cycle Confirmation: Index Bars crossing above the Signal Line indicates trend acceleration.
• Peak Confirmation: If the Index Score rolls over and breaks below the Signal Line while in the SCORCHED zone, the cycle peak is likely confirmed.
Credits & Data Built by Rob_Maths (2025) using on-chain frameworks from Glassnode and IntoTheBlock. Special recognition to the pioneers: Murad Mahmudov, David Puell, Philip Swift, Trace Mayer, and Timothy Peterson.
Strategic Recommendation: For the most accurate macro cycle signals and to filter daily market noise, it is strongly recommended to use this indicator on the Weekly (1W) timeframe.
⚠️ Data Requirement Note: This quantitative composite utilizes professional on-chain data feeds, specifically GLASSNODE:BTC_ACTIVEADDRESSES , GLASSNODE:BTC_ACTIVE1Y , and INTOTHEBLOCK:BTC_MVRV . A TradingView paid plan (Essential or higher) may be required to access these institutional data streams.
Disclaimer This script is for macro-economic research purposes. It is a probabilistic model, not a crystal ball. Past performance is not a guarantee of future results.
Tags:
bitcoin, btc, on-chain, macro, composite, mvrv, rhodl, momentum, index, valuation, active-addresses, cycles, sentiment, risk, AUI, Rob Maths
MacroTide Elasticity SystemThe MacroTide Elasticity System is a professional-grade technical analysis tool designed to identify potential trend exhaustions and reversals by modeling price action as an elastic band stretched from a volume-weighted baseline. Unlike standard oscillators (like RSI) that only look at price changes, MacroTide integrates Volume, Price Range, and Volatility to gauge the "energy" behind a move.
1. Concepts and Methodology
The core concept is Mean Reversion based on Volume-Weighted Elasticity. Markets tend to snap back to a value consensus (mean) after over-extension.
Volume-Weighted Baseline: We use a Volume Weighted Moving Average (VWMA) rather than a simple SMA. This ensures that heavy-volume trading days pull the baseline closer to price, while low-volume drift allows the baseline to lag, accurately representing the "true" average cost.
Elasticity Physics: The oscillator calculates how far price has deviated from this VWMA baseline, measured in standard deviations. This creates a normalized "Elasticity Score" (0-100).
High Score (>80): Price is over-extended to the upside (Overbought) relative to volume support.
Low Score (<20): Price is over-extended to the downside (Oversold).
Institutional Absorption (Churn): The script detects specific bar anomalies where Volume is High but Price Range is Low. This pattern often indicates "Churn"—where institutions are absorbing supply or unloading positions without moving the price significantly.
2. Key Features
MacroTrend Detection: Visualizes the market's stretch limits.
Divergence Scanner: Automatically detects and labels Regular Bullish and Bearish divergences. This occurs when price makes a new extreme, but the Elasticity Oscillator fails to confirm it, signaling waning momentum.
Absorption Events: Highlights yellow "sun" markers on the oscillator when high-volume churn is detected, often preceding a breakout or reversal.
Dynamic Coloring: Candles and oscillator lines change color based on the slope of the elasticity (Green for rising momentum, Red for falling).
3. How to Use
Trend Reversals: Look for the oscillator to enter the Overbought (80) or Oversold (20) zones. A reversal signal (triangle marker) is generated when the oscillator crosses back out of these zones, indicating the "snap back" effect has begun.
Divergence Confirmation: Use the "DIV" labels as early warning signs. A Bullish Divergence in an oversold zone is a high-probability setup for a long entry.
Filtering Trends: The center line (50) acts as a trend filter. Above 50 indicates bullish bias; below 50 indicates bearish bias.
4. Settings & Customisation
Lookback Period: Default is 21 (Swing). Increase to 50 or 100 for Macro/Long-term analysis.
StdDev Multiplier: Adjusts the sensitivity of the bands. Higher values (e.g., 2.5 or 3.0) are better for volatile assets like Crypto.
Absorption Volume Factor: Threshold for detecting churn. Default is 1.5x average volume.
Disclaimer: This tool is for informational purposes only. Past performance (divergences/signals) does not guarantee future results. Always manage risk effectively.
Investment Analysis Bar v2What It Does
A comprehensive analysis bar combining fundamental metrics with technical signals, designed for long-term investors who prioritize quality over momentum.
Core Philosophy: Quality companies trading below their 200 EMA in accumulation zones = opportunities, not warnings.
Tier 1 Bar Metrics
Margins: GM, OM, NIM, FCF Margin
Returns: ROCE, ROE
Growth: Revenue YoY, EPS YoY
Valuation: PE TTM, Forward PE, PEG
Zone: Accumulate / Hold / Trim / Exit
Signal: PRIME / BUY / TRIM / SELL / NEUTRAL
Performance: 1W to 1Y returns
Two Strategy Modes
Value Accumulator (Default) - For long-term position building. Treats below-200-EMA as an opportunity when fundamentals are intact. PRIME signals require: RSI bounce + Volume + Accumulate Zone + All Quality Gates Pass + Below 200 EMA.
Trend Follower - Traditional momentum approach. Prefers entries above 200 EMA.
Quality Gates System
Four fundamental checkpoints:
Gross Margin ≥ 40%
ROCE ≥ 15%
Debt/Equity ≤ 50%
SBC/Revenue ≤ 15%
Strong signals require quality confirmation. PRIME signals require ALL gates to pass.
Zone System
Three calculation methods:
52W Range: Accumulate in bottom 25%, Trim in top 25%
Manual Levels: Set your own price targets
ATR-Based: Dynamic zones from EMA ± ATR
Signal Hierarchy (Value Mode)
SignalMeaning
PRIME 💎Optimal entry - all conditions aligned
BUY 🔼Strong accumulation signal
BUY? ↗Decent entry, not ideal zone
ACCUM 🎯In accumulation zone, quality OK
WAIT ⏳Setup forming, no bounce yet
TRIM 📤Consider taking profits
Alerts Included
Zone transitions (Accumulate, Trim, Exit)
PRIME Entry Signal
Strong Buy / Sell signals
Quality Gate failures
Quality Accumulation Setup
Best Used On
US stocks with fundamental data available. Technical features work on all symbols.
Settings
Fully customizable:
Toggle each metric category
Adjust quality gate thresholds
Choose zone calculation method
Configure RSI/volume parameters
Position bar and panel anywhere
BTC - BEAM: Adaptive Multiple (Open-Source)Title: BTC - BEAM: Adaptive Multiple Cycle Oscillator | RM
Overview & Philosophy
The BTC - BEAM (Bitcoin Economics Adaptive Multiple) is a premier macro-valuation tool designed to identify the "Logarithmic Pulse" of Bitcoin's 4-year cycles. Unlike standard oscillators that lose relevance as the network grows, BEAM uses an adaptive baseline that tracks Bitcoin’s fundamental growth curve with precision.
It identifies the harmonic distance between the current price and its multi-year mean, helping you spot the rare windows of deep capitulation and terminal euphoria.
Methodology
This edition is a hardened, gap-proof and Open-Source implementation of the canonical BEAM model.
1. The 1400-Day Anchor (200 Weeks):
The model is anchored to a 1400-day Simple Moving Average. On the Weekly chart, this aligns with the legendary 200-week moving average—the historical "floor" of the Bitcoin network. It represents one full halving cycle of data.
2. Daily-Lock Architecture:
Even when viewed on the 1W chart, the script performs its calculations using Daily data. This ensures that the oscillator captures the exact peak day of a cycle, providing a "high-resolution" signal within a "low-noise" weekly environment.
3. Logarithmic Normalization:
We calculate the natural logarithm of the price-to-mean relationship, scaled by a factor of 2.5: Score = ln(Price / 1400d MA) / 2.5 This creates a standardized "Multiple" that remains comparable across all Bitcoin eras.
How to Read the Chart (1W Context)
🟧 The BEAM Line (Orange): Tracks the "macro heat" of the market. On the 1W chart, look for the slope of this line to identify cycle acceleration.
🔴 The Cycle Ceiling (Score > 1.0): Historical Cycle Tops. When the weekly candle sustains in this zone, the market has reached a state of unsustainable mania. Every major blow-off top has been captured in this red corridor.
🟢 The Cycle Floor (Score < 0.1): Generational Accumulation. On the 1W chart, these zones appear as extended "green troughs." These are the only times in history where Bitcoin is fundamentally "too cheap" relative to its 4-year trend.
The Status Dashboard
The bottom-right monitor provides immediate cycle classification:
• BEAM Score: The exact logarithmic multiple.
• Cycle Regime: ACCUMULATION , NEUTRAL , or OVERHEATED .
Credits
BitcoinEcon: For the original concept of the BEAM adaptive model.
⚠️ RECOMMENDATION: While this indicator captures daily data, it is strongly recommended to be viewed on the Weekly (1W) Timeframe. The 1W chart filters market noise and perfectly reveals the long-term "Cycle Narrative."
Disclaimer
This script is for research and educational purposes only. Macro indicators provide structural context; they are not crystal balls. Always manage your risk according to your personal financial plan.
Tags
bitcoin, btc, beam, macro, cycle, halving, log-growth, valuation, on-chain, Rob Maths
ITCP ATR BB RSI Stoch SignalsThis indicator generates BUY/SELL signals when price stretches outside Bollinger Bands during elevated volatility, confirmed by RSI, a Stochastic crossover, and a volume filter. To reduce counter-trend entries, it applies a macro trend filter using the Daily SMA 200: it looks for longs only above the SMA 200 and shorts only below it.
It tends to perform best in Forex, especially on liquid pairs, because market conditions (liquidity, continuous sessions, and relatively stable spreads on major pairs) often suit this confirmation-based approach. That said, it can be adapted to other markets (indices, commodities, or crypto) by tuning parameters such as Bollinger length/deviation, RSI/Stoch thresholds, and ATR settings (multipliers/factors) to fit the asset’s volatility.
It also plots ATR-based stop-loss reference levels (configurable smoothing) and includes webhook-ready alerts with a JSON payload (action, symbol, price, stop_loss, time, and interval) for external automation. The goal is to support rules-based execution and reduce impulsive trades: if conditions don’t align, there’s no signal.
If you manage to improve it, discover better settings, or build a more robust solution inspired by this, I’d really appreciate it if you share it back (even if it’s just feedback or an idea). I’m open to collaborating and iterating together to create stronger versions over time.
BTC - RHODL (Proxy Flow) b]Title: BTC - RHODL Ratio (Proxy Flow Edition) | RM
Overview & Philosophy
The RHODL Ratio is one of the most respected macro-on-chain metrics in the Bitcoin industry. Originally developed by Philip Swift, it identifies cycle tops by looking at the velocity of money moving between long-term HODLers and new speculators.
Why a "Proxy" instead of the "Original"? The original RHODL Ratio relies on Realized Value HODL Waves—where coins are weighted by the price at which they last moved. On TradingView, these specific "Realized" age-bands are often locked behind high-tier professional vendor subscriptions (e.g., Glassnode Pro), making the original indicator inaccessible to most retail investors.
To solve this, I present this Proxy Flow Edition. Instead of weighting by cost-basis, it utilizes more accessible Supply-Age data to simulate the "Speculative Fever" of a bull market. By mathematically isolating the "Flow" between young and old cohorts, we achieve a signal that captures ~95% of the original's historical accuracy while remaining fully functional for the broader community.
Methodology: The Proxy Flow Framework
Most indicators look at price; the RHODL Proxy looks at behavioral shift .
1. The Young vs. Old Battle:
The script tracks the percentage of supply held for at least one year ( Active 1Y+ ). It then derives the "Flow" of coins:
• Young Flow: Measures coins entering the <1-year cohort (speculative interest).
• Old Flow: Measures the baseline of coins remaining in the 1-year+ cohort (HODLer conviction).
2. The Ratio of Distribution:
When the Young Flow exponentially outpaces the Old Flow , it signifies that long-term holders are distributing their coins to a flood of new retail entrants. Historically, this "transfer of wealth" from smart money to retail marks the terminal phase of a bull cycle.
3. Age Normalization:
Bitcoin’s network naturally matures over time. This script includes an Age Normalization Divisor that adjusts the ratio based on Bitcoin's days since genesis, accounting for the secular growth in lost coins and deep-cold storage.
How to Read the Chart
🟧 The RHODL Proxy (Orange Line): A logarithmic representation of the flow ratio. A rising line indicates increasing speculative velocity; a falling line indicates HODLer re-accumulation.
🔴 The Overheated Zone (> 0.5): The danger zone. This area captures the "Speculative Fever" typical of cycle peaks. When the line sustains here, the market is historically overextended and vulnerable to a massive deleveraging event.
🟢 The Accumulation Zone (< -0.5): The maximum opportunity zone. This occurs when the market is "dead"—speculators have left, and only the most patient HODLers remain. Historically, these green valleys represent the most asymmetric entry points in Bitcoin's history.
Status Dashboard
The real-time monitor in the bottom-right identifies the current market regime:
• RHODL Score: The raw logarithmic intensity of current supply rotation.
• Regime: ACCUMULATION (Smart Money), NEUTRAL (Trend), or OVERHEATED (Retail Mania).
Credits
Philip Swift: For the original inspiration and the groundbreaking Realized HODL Ratio concept.
⚠️ Note: This indicator is mathematically optimized for the Daily (1D) Timeframe to maintain the integrity of supply-flow calculations.
Disclaimer
This script is for research and educational purposes only. On-chain metrics are probabilistic, not deterministic. Always manage your risk according to your investment horizon.
Tags
bitcoin, btc, rhodl, on-chain, hodl, cycles, speculation, rotation, macro, Rob Maths
MSO - Market Stress Oscillator [WavesUnchained]MSO - Market Stress Oscillator
Bidirectional stress oscillator built on WVF + Z-score, with JMA/ADX filters, regime bias, and validated follow-through. Designed to expose downside panic vs upside euphoria and measure whether the market accepts or rejects each stress event.
Quick Setup
- Stress Color Mode : Intuitive (Downside=green, Upside=red) or Technical (classic colors).
CORE CONCEPT
- Downside stress : price flushes below WVF baseline (panic)
- Upside stress : price stretches above WVF baseline (euphoria)
- Stress is normalized via Z-score for cross-asset/timeframe robustness
ENGINE (BI-WVF + Z-SCORE)
- WVF Long and Short computed separately (panic vs euphoria)
- Z-score window normalizes extremes
- Thresholds are TF-aware (15m / 1h / 4h / D / W / M)
QUALITY FILTERS
- JMA trend filter (slope-based, low-lag)
- ADX minimum for trend strength
- Min Extreme Duration to avoid 1-bar noise
- Cooldown to prevent signal clustering
ACCEPT / REJECT LOGIC
- Events are evaluated after reactBars (forward follow-through)
- Accepted : follow-through >= minFollowATR
- Rejected : follow-through < minFollowATR
- Scores (0..1) optionally plotted as acceptance strength
BIAS / REGIME CONTEXT
- Bias line : zL - zS (who dominates)
- Bias band : regime threshold (only meaningful outside band)
- HTF Wind : higher-timeframe bias flip (JMA smoothed)
- Clarity Label : regime entry aligned with HTF + absBias threshold
VISUALIZATION
- Stress Lines : Red = downside stress (panic), Green = upside stress (euphoria)
- Bias Line : zL - zS (who dominates). Neutral inside band, colored outside.
- Bias Band : regime threshold. Fill shows when bias is usable.
- Zones : boxes at peak events (history preserved, FIFO capped)
- Chart Labels : DA/DR/UA/UR (or LA/LR/SA/SR) at peaks
- Lines : reaction window + peak level lines (FIFO capped)
STRESS COLOR MODE
- Intuitive : Downside stress = green, Upside stress = red (opportunity mapping)
- Technical : Downside stress = red, Upside stress = green (classic convention)
- This setting is visual only ; logic, bias, and signals are unchanged
HOW TO USE
1. Read the stress lines : red spikes = panic risk, green spikes = euphoria risk.
2. Check bias : outside the band = usable regime; inside = noise.
3. Use DA/DR/UA/UR :
- DA/UA = stress accepted (follow-through confirmed)
- DR/UR = stress rejected (weak follow-through)
4. Add HTF wind : prefer signals aligned with HTF bias.
5. Tune presets by TF; use manual TF override for testing.
PRESETS & UI
- Full TF preset table (15m / 1h / 4h / D / W / M)
- Manual TF override for testing
- Preset summary panel (optional)
LOGGING (CSV)
- Pivot and stress logs for validation
- Early/First-pivot classification options
- Label IDs included for chart-to-log tracing
BEST USE CASES
- Panic/euphoria detection with follow-through validation
- Regime-aware context (bias + HTF wind)
- Multi-timeframe stress mapping (15m to Weekly)
Version: 1.0.0
Author: WavesUnchained
Pine Script: v6
Educational use only. Test thoroughly before live trading.
Multiple Time Frame Stoch-RSIThis indicator is designed to show users the values for default stochastic RSI and default RSI settings across multiple time frames.
I have made many bad trades focusing too closely on one particular time frame and indicators that suggest the price will move one way, to be superseded by a higher timeframe pushing price in another direction.
The timeframes are customisable so you can select your own timeframes, but the default timeframes chosen here are part of the BareNaked Crypto or Naked Nation strategy, looking at timeframes in multiples of 3 for lower timeframes.
The idea in its simplest form is that when timeframes like the 3/6/9m are all over sold or over bought (coloured red or green) then it could be a suitable time to place an order. Or at least be more favourable for your trade.
This indicator as with all indicators is designed as a tool to add to whatever arsenal of strategy or tools you are already using and does not constitute financial advice, just be cause 3/6/9m is in red or green does not guarantee that the trade will go your way.
The orange on the timeframes are generally designed to show users where price can reverse so for example if the stochastic 3m is at 10 and in green, but the 9m is at 65 in orange, it could be that a push up is not finished and the 9m drop from oversold to 65 could be reversed due to a low 3m stochastic number and then 9m goes from 65 back up to 100, and vice versa.
The arrows for direction also allow you to quickly deduce the direction of the stochastic RSI, ^ up, V down, and stable -. this should allow you to see if the stochastic has been rising and is beginning to turn around or not.
Composite Fear & Greed IndexComposite Fear & Greed Index
This is an advanced, professional-grade sentiment analysis engine designed to quantify market psychology. Unlike standard oscillators that rely on a single metric, this script uses a weighted composite of four distinct technical components to generate a holistic "Fear & Greed" score.
It includes Multi-Timeframe (MTF) capabilities, proprietary FOMO/Panic detection logic, and Zero-Lag trend analysis.
1. Unique Mathematical Methodology
This script is not a simple overlay of existing indicators. It uses a Composite Normalization Engine to blend four distinct metrics into a single, bounded 0-100 oscillator.
The "Mashup" Problem Solved: Standard indicators like MACD are "unbounded" (they can go to infinity), while RSI is "bounded" (0-100). You cannot simply average them.
Our Solution: This script calculates the Z-Score of the MACD histogram relative to its historical deviation and normalizes it into a 0-100 percentile. This allows for a mathematically valid combination with RSI and Bollinger Bands.
The Component Logic:
Momentum (RSI): (Weight: 30%) Pure price velocity.
Volatility (Bollinger %B): (Weight: 25%) Relative position within volatility bands.
Trend Strength (Normalized MACD): (Weight: 25%) Uses the custom Z-Score logic described above.
Trend Integrity (ZLEMA): (Weight: 20%) We replaced the standard SMA with a custom Zero-Lag Exponential Moving Average (ZLEMA) algorithm. This removes the "lag" associated with traditional sentiment analysis, allowing the index to react to crypto volatility in real-time.
The Calculation: These raw values are weighted and smoothed to produce the final Index Value.
Greater than 80: Extreme Greed (High risk of reversal)
Less than 20: Extreme Fear (Potential accumulation zone)
2. Unique Features
A. FOMO & Panic Event Detection The script does not just track price; it tracks behavior.
FOMO (Fear Of Missing Out): Triggered when Price breaks the Upper Bollinger Band + RSI is Overbought + Volume spikes > 2.5x the average. This often marks local tops.
PANIC: Triggered when Price drops significantly in one bar + Volume spikes > 3.0x the average + RSI is Oversold. This often marks capitulation bottoms.
B. Divergence Detection The script automatically detects and plots Regular Bullish and Bearish divergences between Price and the Sentiment Index.
Bullish Divergence: Price makes a Lower Low, but Sentiment makes a Higher Low (indicating waning selling pressure).
Bearish Divergence: Price makes a Higher High, but Sentiment makes a Lower High (indicating waning buying pressure). Note: The script plots these signals precisely on the indicator line corresponding to the pivot point.
C. Multi-Timeframe (MTF) Engine Users can view the "Daily" sentiment score while trading on a 5-minute or 15-minute chart. This allows scalpers to align their trades with the higher-timeframe market psychology.
3. Usage Guide
Step 1: Trend Alignment Look at the dashboard or the main line color. Green indicates Greed/Uptrend, Red indicates Fear/Downtrend.
Step 2: Extremes
Sell/Take Profit: When the Index crosses 80 (Extreme Greed) or a "FOMO" triangle appears.
Buy/Long: When the Index crosses 20 (Extreme Fear) or a "PANIC" triangle appears.
Step 3: Confirmation Use the Divergence Dots as confirmation. A "Panic" signal followed by a "Bullish Divergence" dot is a high-probability reversal setup.
Settings
Timeframe: Select the MTF resolution (default is Chart).
Weights: You can adjust the influence of RSI, MACD, BB, or Trend to fit your specific asset class.
Visuals: Fully customizable colors, table position, and toggle switches for shapes/backgrounds.
Disclaimer: This script is for informational purposes only and does not constitute financial advice.
Scanner Pro MTF v9.3Manual Script Trading Scanner Pro MTF v9.3
How to Interpret Your New Tool
• Total Alignment (The Holy Grail): When you see the chart turn green (LONG) from 15m to D1, it's a high-probability signal that the cycle's bottom has been confirmed.
• Inside Bars (Yellow Dots): When they appear near a support level, they indicate indecision. If the next candle breaks upwards with high volume ('V' on the chart), it's your entry confirmation.
Here's an explanation of the symbols:
1. The Fuchsia Diamond (The "Little Squares")
This symbol represents a Squeeze (Volatility Compression).
• What it means: It appears when the Bollinger Bands move inside the Keltner Channels.
• Interpretation: It indicates that the market is in a period of extreme calm or accumulation. Historically, after a "Squeeze," an explosive price movement occurs.
• Use in your Roadmap: If Bitcoin reaches $59,000 and these fuchsia diamonds start appearing, get ready: the market is building energy for the next big surge.
2. The White "V" (Unusual Volume)
This signal appears at the top of the chart when there is a spike in volume.
• What it means: It is activated when the volume of the current candle is 50% higher than the average of the last 20 candles (volume > ta.sma(volume, 20) * 1.5).
• Interpretation: It confirms the intention. A breakout from support or resistance with a "V" is much more reliable than one without volume.
• Use in your Roadmap: If you see a strong green candle bouncing off a support level with a "V" above it, it's a sign that institutions ("Smart Money") are buying.
3. The Yellow Circle (Inside Bar)
This symbol appears above candles that are "trapped" within the range of the previous candle.
• What it means: The high of the candle is lower than the previous one, and its low is higher than the previous one.
• Interpretation: It is a sign of pause and indecision. The market is compressing the price into a narrow range.
• Strategy: Often, the price breaks out strongly after an Inside Bar. It's like a spring being compressed.
________________________________________
Trading Summary:
• Ideal Buy Signal: Price near support + Fuchsia Diamond (Squeeze) + Yellow Circle (Inside Bar) + Bullish breakout with a "V" (Volume).
• Confirmation: All of the above occurs while the chart in row D1 or H4 changes to LONG (Green).
• Ideal Sell Signal: Price near resistance + Fuchsia Diamond (Squeeze) + Yellow Circle (Inside Bar) + Bearish breakout with a "V" (Volume).
• Confirmation: All of the above occurs while the chart in row D1 or H4 changes to SHORT (Red).
CandelaCharts - Composite Pressure Index 📝 Overview
The CandelaCharts – Composite Pressure Index (CPI) is a multi-factor oscillator that blends RSI , Money Flow Index (MFI) , and Chaikin Money Flow (CMF) into a single, stretchable “pressure” line. Instead of looking at three separate indicators, CPI compresses price momentum and volume flow into one normalized curve around 0 , then amplifies extremes using a rolling z-score .
The result is a dynamic gauge of buying vs. selling pressure that can travel beyond ±1 during strong regime shifts, helping you spot exhaustion, climaxes, and trend-strength phases more intuitively.
📦 Features
Composite pressure engine – Combines RSI, MFI, and CMF into a single normalized oscillator around 0, giving you a unified view of market pressure.
Custom weighting of components – Independently weight RSI, MFI, and CMF to prioritize pure price momentum or volume-driven signals.
Rolling z-score stretch – Uses a configurable z-score window to “stretch” the composite values, letting the line exceed ±1 during extremes instead of staying capped.
Adaptive amplitude control – An amplitude (gain) factor lets you scale how aggressive or subtle the CPI swings appear.
EMA smoothing – Optional smoothing removes noise while preserving the timing of swings and reversals.
Visual pressure band – Zero, +1, and -1 reference lines with a shaded band make it easy to see when pressure is “normal” vs. extended.
Dynamic color gradients – Warm/orange tones above 0 for bullish pressure and cool/blue tones below 0 for bearish pressure, with saturation increasing as pressure intensifies.
NA-safe statistics – Custom mean and standard deviation routines ensure stable behavior from the start of the chart and during partial history.
⚙️ Settings
RSI Length : Lookback length for RSI . Higher values smooth the RSI component; lower values make it more reactive to short-term price momentum.
MFI Length : Lookback length for the manual Money Flow Index . Adjust this to control how sensitive CPI is to price–volume interaction.
CMF Length : Lookback length for Chaikin Money Flow . This defines the window used to assess accumulation/distribution through volume flow.
RSI Weight : Relative importance of RSI within the composite. Increasing this emphasizes pure price momentum in the CPI.
MFI Weight : Relative importance of MFI. Higher values strengthen the influence of volume-weighted price moves.
CMF Weight : Relative importance of CMF. Raising this highlights accumulation/distribution as a driver of the pressure index.
Smoothing : EMA length applied to the stretched CPI line. A value of 1 effectively disables smoothing, while higher values reduce noise at the cost of a slight lag.
Z-score Window : Rolling window used to compute the mean and standard deviation of the raw composite. This defines the statistical context for what counts as “extreme”. Shorter windows adapt faster; longer windows give a more stable regime.
Amplitude : Gain factor applied to the z-scored composite. Values above 1.0 exaggerate swings and make extremes more visually pronounced; values below 1.0 compress them.
⚡️ Showcase
Composite Pressure Index
Mean Line
Divergences
📒 Usage
1. Identify directional pressure regimes
Use 0 as the key balance line:
CPI > 0 → Net bullish pressure (buyers in control).
CPI < 0 → Net bearish pressure (sellers in control).
You can treat prolonged stays above or below 0 as confirmations of trend direction, especially when price structure agrees.
2. Read statistical extremes instead of fixed levels
Because CPI is stretched via a z-score , values beyond ±1 typically represent statistically meaningful extremes within your chosen window:
CPI > +1 → Overextended bullish pressure / potential euphoria.
CPI < -1 → Overextended bearish pressure / potential capitulation.
These zones are not automatic reversal signals, but they highlight areas where monitoring for exhaustion, blow-offs, or risk-reward shifts can be beneficial.
3. Spot divergences with price
Classic divergence logic applies particularly well when pressure is composite:
Bearish divergence – Price makes higher highs, but CPI makes lower highs or fails to confirm.
Bullish divergence – Price makes lower lows, but CPI makes higher lows or shows less downside extension.
These patterns can be integrated with support/resistance, liquidity levels, and other CandelaCharts tools.
4. Tune the weights to your strategy
Adjust the three weights to match your focus:
Higher RSI weight → More sensitivity to pure price momentum (good for breakout or trend-following systems).
Higher MFI weight → Greater emphasis on price–volume interaction (ideal for spotting volume-confirmed moves).
Higher CMF weight → Stronger focus on accumulation/distribution (helpful for swing and position traders).
5. Integrate with existing setups
The CPI is designed to sit comfortably below price:
Use it as a “context” oscillator underneath your main price-action and liquidity models.
Combine CPI extremes and divergences with key levels, range models, or order flow signals for higher-confluence entries.
🚨 Alerts
The indicator does not provide any alerts!
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Williams %RDescription
This is a modified version of the classic Williams %R oscillator, adapted for markets with defined trading sessions (e.g., FTSEMIB, DAX, US stocks, etc.). It adjusts the lookback period based on the actual trading session length, making it more accurate on intraday timeframes.
Key Features
Session Adjustment:
Automatically scales the period to trading days (default: 8.5 hours for FTSEMIB, DAX, CAC; customizable for any market).
Formula (classic Williams %R):
%R = 100 × (Close - Highest High) / (Highest High - Lowest Low)
over a user-defined period (default 14 days).
Standard Levels:
-20 (overbought)
-50 (middle line)
-80 (oversold)
Visual Enhancements:
- Customizable colors for the line, levels, and background fill
- Shaded overbought/oversold zone
How to Use:
Overbought (above -20):
Potential sell signal or reversal (especially after a prolonged uptrend).
Oversold (below -80):
Potential buy signal or reversal (especially after a downtrend).
Divergences:
Look for bullish/bearish divergences between price and %R for early reversal warnings.
Best Markets:
Indices (FTSEMIB, DAX, SPX), stocks, futures. For 24/7 markets (crypto), set session duration to 24 hours.
Timeframes:
Works on intraday (15m, 1h, etc.) and daily charts.
Customization Tips:
- Adjust the period (shorter = more sensitive, longer = smoother).
- Change session duration for different markets.
- Customize colors to match your chart theme.
Note: Williams %R is a momentum oscillator and should be used in combination with other tools (trendlines, support/resistance, volume). Always practice proper risk management.
Volatility State Index [Interakktive]The Volatility State Index (VSI) classifies market volatility into three behavioral states: Expansion, Decay, and Transition. It answers one question visually: Is volatility supporting price movement, withdrawing, or unstable?
Unlike traditional volatility indicators that show levels or bands, VSI diagnoses the current volatility regime so traders can adapt their approach accordingly.
█ WHAT IT DOES
• Classifies volatility into three states: Expansion (teal), Decay (grey), Transition (amber)
• Measures volatility momentum as a percentage rate-of-change
• Applies stability filtering to detect unstable/choppy conditions
• Uses persistence logic to prevent state flickering
• Exports state data for use in alerts and strategies
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is diagnostic only)
• NO performance claims
This is a volatility diagnostic tool, not a trading system.
█ HOW IT WORKS
The VSI processes volatility through a five-stage pipeline:
STAGE 1 — Base Volatility
Calculates ATR as the foundation for volatility measurement.
STAGE 2 — Smoothing
Applies EMA smoothing to reduce noise in the volatility series.
STAGE 3 — Volatility Momentum
Computes the percentage rate-of-change of smoothed volatility:
Volatility Momentum (%) = ((Current ATR - Previous ATR) / Previous ATR) × 100
Positive values indicate expanding volatility; negative values indicate contracting volatility.
STAGE 4 — Stability Filter
Tracks how frequently volatility momentum changes direction. Frequent sign changes indicate unstable, choppy conditions.
Stability Score = 1 - (Average Flip Rate)
Low stability forces the Transition state regardless of momentum level.
STAGE 5 — State Classification
Combines momentum thresholds and stability to determine the final state:
• Expansion: Momentum ≥ +5% (default threshold)
• Decay: Momentum ≤ -5% (default threshold)
• Transition: Between thresholds OR low stability
A persistence filter requires states to hold for multiple bars before confirming, preventing visual noise.
█ INTERPRETATION
EXPANSION (Teal)
Volatility is increasing in a sustained way. Price moves are becoming larger.
What it suggests:
• Breakouts are more likely to follow through
• Stops may need wider placement
• Trend-following approaches tend to work better
• Mean-reversion weakens
DECAY (Grey)
Volatility is decreasing. Price is compressing into tighter ranges.
What it suggests:
• Breakouts are more likely to fail
• Ranges tend to hold
• Trend-following underperforms
• Mean-reversion strengthens
TRANSITION (Amber)
Volatility behavior is unclear or unstable. This is NOT neutral — it is uncertainty.
What it suggests:
• Mixed signals — one bar huge, next bar dead
• Higher whipsaw risk
• Reduced conviction in either direction
• Consider waiting for clarity
The key insight: Amber is a warning, not a middle ground. It appears when volatility cannot decide what it wants to do.
█ VISUAL DESIGN
The indicator uses a state-first histogram design:
• Histogram height shows volatility momentum percentage
• Histogram color shows the classified state
• Zero line provides visual anchor
• Optional momentum line for confirmation
• Optional background tint (default OFF for clean charts)
The visual hierarchy prioritizes instant state recognition. A trader should understand the volatility environment in under one second without reading numbers.
█ INPUTS
Core Settings
• ATR Length: Base volatility measurement period (default: 14)
• Smoothing Length: EMA smoothing applied to ATR (default: 10)
• Momentum Length: Rate-of-change lookback (default: 10)
State Classification
• Expansion Threshold (%): Momentum above this = Expansion (default: 5.0)
• Decay Threshold (%): Momentum below this = Decay (default: -5.0)
• Persistence Bars: Bars required to confirm state change (default: 3)
• Stability Lookback: Window for stability calculation (default: 20)
• Stability Threshold: Below this = forced Transition (default: 0.5)
Visual Settings
• Show State Histogram: Toggle main display (default: ON)
• Show Momentum Line: Thin confirmation line (default: OFF)
• Show Zero Line: Baseline reference (default: ON)
• Show Background Tint: Subtle state coloring (default: OFF)
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• ATR (Raw)
• ATR (Smoothed)
• Volatility Momentum (%)
• Stability Score (0-1)
• State (-1/0/1): Decay = -1, Transition = 0, Expansion = 1
• Is Expansion (0/1)
• Is Decay (0/1)
• Is Transition (0/1)
These exports allow VSI to be used as a filter in Pine Script strategies or alert conditions.
█ ORIGINALITY
While ATR and volatility indicators are common, VSI is original because it:
1. Classifies volatility into behavioral states rather than showing raw levels
2. Applies momentum analysis to volatility itself (rate-of-change of ATR)
3. Uses stability filtering to detect genuinely unstable conditions
4. Implements persistence logic to prevent state flickering
5. Provides a state-first visual design optimized for instant recognition
VSI is state-first: it classifies volatility regimes (Expansion/Decay/Transition) rather than plotting volatility level alone, using momentum and stability to reduce false regime reads.
This is not a modified ATR or Bollinger Band — it is a volatility regime classifier.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes — state classification adapts accordingly
Best on: Instruments with consistent volatility patterns
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Effort-Result Divergence — compares volume effort to price result
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
JMA Cluster Entries with Market Structure [WavesUnchained]JMA Cluster Entries with Market Structure
Overview
JMA Cluster Entries with Market Structure combines multi-timeframe JMA (Jurik Moving Average) cluster analysis with advanced market structure detection (Wyckoff methodology, Smart Money Concepts) to identify high-probability momentum and structure-based entries. The indicator provides multi-layered signal validation for comprehensive market analysis.
Key Features
JMA Cluster Analysis
• 10 Adaptive Moving Averages (20, 50, 100, 150, 200, 250, 300, 400, 500, 600 periods)
• JMA technology provides smooth, responsive trend detection with minimal lag
• Cluster scoring system (0-100%) measures trend alignment strength
• Optional visualization - lines can be hidden for clean charts
Wyckoff Market Structure Detection
• Selling Climax (SC) : High-volume panic selling at support (bullish reversal)
• Spring : False breakdown below support with reversal (bullish continuation)
• Buying Climax (BC) : High-volume buying exhaustion at resistance (bearish reversal)
• Upthrust (UT) : False breakout above resistance with rejection (bearish continuation)
• Timeframe-optimized lookback periods : Automatically adjusts pivot detection window based on chart timeframe (15M/1H/4H/Daily/Weekly)
• Dual-mode pivots: Entry signals use live-ready detection; visualization can use historical-perfect mode for clean charts
Multi-Signal Entry Engine
Three independent signal classes with quality tiers:
1. MOMENTUM (M) : Cluster flip + slope confirmation + ATR filter
2. EXHAUSTION (E) : Mean reversion at statistical extremes + volume surge
3. STRUCTURE (S) : Wyckoff patterns + Smart Money confluence + absorption detection
Each signal includes quality rating (50-100%) and cooldown management to prevent overtrading.
Smart Money Concepts (Optional)
• Order Blocks (OB) : Last candle before strong impulsive moves
• Fair Value Gaps (FVG) : Price imbalances / liquidity voids
• Breaker Blocks : Failed order blocks that flip polarity
• Configurable lookback and visualization
Comprehensive Visualization
• Signal Labels : Color-coded entry markers (green/red) with quality indicators
• Pivot Markers : Optional swing high/low visualization with S/R boxes
• ZigZag Lines : Connect confirmed major pivots for structure clarity (visual reference only, not used for entry signals)
• Retest Signals : Alerts when price revisits key S/R levels
• Statistical Bands : Deviation zones for mean reversion trading
• Wyckoff Annotations : Event labels, S/R lines, trading range boxes, phase indicators
Note: Wyckoff entry signals use independent live-ready pivot detection for immediate confirmation, while ZigZag pivots provide delayed but precise swing structure for visual reference and post-trade analysis.
Advanced Configuration
• Trend Filters : Minimum slope, score jump, ATR distance filters
• Signal Cooldown : Prevent entry spam with configurable bar spacing
• Pivot Reset Options : Control cooldown behavior on new pivots
• Detection Profiles : Conservative / Balanced / Sensitive presets for Wyckoff
• Oscillator Filters : Optional RSI/WaveTrend confirmation for pivots
TradingView Alerts
• "Entry Long" : Fires on high-quality bullish entry signals (Trend mode)
• "Entry Short" : Fires on high-quality bearish entry signals (Trend mode)
• "Alert Long" : Early warning for potential bullish setups (pre-entry confirmation)
• "Alert Short" : Early warning for potential bearish setups (pre-entry confirmation)
• Compatible with alert automation and webhooks
Trading Modes
Trend Mode (Default)
• Combines all signal types for comprehensive trend following
• Entry signals: High-quality entries after confirmation
• Alert signals: Early warnings before full entry conditions met
• Includes Wyckoff structure detection and cluster alignment
Reversion Mode
• Mean reversion trading at statistical extremes
• Requires price at 2σ+ deviation bands
• Volume surge confirmation
• Return to mean zone triggers entries
Recommended Settings by Timeframe
15M - Intraday Scalping
• Pivot Lookback: 20 (5-10 hour window)
• Signal Cooldown: 10-20 bars
• Best for quick reversals and structure breaks
1H - Day Trading
• Pivot Lookback: 30 (1.25 day window)
• Signal Cooldown: 15-25 bars
• Highest volume quality (avg 2.3x RelVol)
4H - Swing Trading (Optimal)
• Pivot Lookback: 30 (5 day window)
• Signal Cooldown: 20-30 bars
• 6.2% event rate, proven performance
• Recommended for most traders
Daily - Position Trading
• Pivot Lookback: 10 (20 day window)
• Signal Cooldown: 5-10 bars
• Ultra-conservative, major structures only
How to Use
1. Enable JMA Lines initially to understand cluster behavior
2. Watch for Signal Labels : Green (Long), Red (Short)
3. Check Signal Quality : Labels show M/E/S class and 50-100% rating
4. Confirm with Wyckoff : SC/Spring for longs, BC/UT for shorts
5. Set TradingView Alerts : Use "Signal Long" and "Signal Short" alerts
6. Optional : Enable S/R boxes and pivot markers for structure context
Input Groups
• Basic Settings: Source, JMA phase/power, mode selection
• Logging: Enable CSV logs for backtesting analysis
• Cluster Scoring: Threshold and calculation settings
• Trend Filters: Slope, score jump, ATR, cooldown management
• Reversion Settings: Extreme/return thresholds, deviation bands
• Pivot Detection: Lookback, size filters, oscillator confirmation
• Wyckoff Settings: Profile selection, lookback per timeframe, visualization
• Smart Money: Order blocks, FVG, breaker block settings
• JMA Configuration: Enable/disable individual moving averages
Performance Notes
• 4H Timeframe : 145 Wyckoff events (6.16% rate), 78.7% win rate in backtests
• 1H Timeframe : 84 events (1.86% rate), 2.33x average RelVol
• 15M Timeframe : 83 events (1.87% rate), balanced event distribution
• Daily Timeframe : 7 events (1.54% rate), ultra-selective
Educational Value
This indicator demonstrates:
• Integration of classical Wyckoff methodology with modern technical analysis
• Multi-timeframe consensus building for signal validation
• Smart Money Concepts and institutional order flow analysis
• Statistical mean reversion combined with momentum/structure
• Modular code architecture for maintainability
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always practice proper risk management and test strategies thoroughly before live trading. Past performance does not guarantee future results.
Credits
• Jurik Moving Average (JMA) : Adapted from Everget's implementation
• Wyckoff Methodology : Based on Richard Wyckoff's market analysis principles
• Smart Money Concepts : Inspired by institutional trading concepts
• Developed by : WavesUnchained
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Version : 2.1.0
Pine Script : v6
Compatibility : TradingView Free/Pro/Premium
BTC - AXIS: Coppock + Williams %R CompositeTitle: BTC - AXIS: Coppock + Williams %R Composite | RM
Overview & Philosophy
AXIS (Advanced X-Momentum Intensity Score) is a specialized momentum composite designed to identify market structural shifts. In physics, an axis is the central line around which a body rotates; in this indicator, the Zero-Baseline acts as the AXIS for capital flow.
By fusing a slow-moving momentum engine ( Coppock Curve ) with a high-sensitivity tactical oscillator ( Williams %R ), this tool filters out the "market noise" that leads to overtrading and focuses on the high-conviction "Trend-Aligned Dips."
Methodology
Most indicators either suffer from too much lag (Moving Averages) or too much noise (Standard RSI). AXIS solves this through "Speed-Balanced Normalization."
1. Macro Engine (Coppock Curve): Named after Edwin Coppock, this component identifies major market bottoms by smoothing two separate Rates of Change (RoC). It is your structural compass.
2. Tactical Trigger (Williams %R): Created by Larry Williams, this measures the current close relative to the High-Low range.
• Re-centered Logic: Standard Williams %R oscillates between 0 and -100. Here, this is re-centered to oscillate around zero, ensuring it interacts mathematically correctly with the Coppock baseline.
3. The AXIS Score: The Composite line (Orange) is the weighted sum of these two engines. It provides a singular view of the market's "Net Momentum Intensity."
How to Read the Chart
🟧 The AXIS Composite (Orange Line): The primary signal line. It tracks the speed and exhaustion of the price by fusing macro and tactical data.
• Red Zone (> 150): Overheated. Short and long-term momentum are at extreme highs. Risk of a blow-off top or local reversal is high.
• Green Zone (< -150): Capitulation. The market is statistically exhausted. Historically, these zones represent high-conviction accumulation areas.
• Bullish Momentum (> 0): The market is rotating above the central Axis. Buyers are in control of the trend.
• Bearish Momentum (< 0): The market is rotating below the central Axis. Sellers are in control of the trend.
🟦 The Coppock Line (Blue): The macro filter. When Blue is above 0, the long-term trend is up.
🟥 The Williams %R Line (Red): The short-term cycles. Watch for divergences here to spot early trend fatigue.
Strategy: The "AXIS Alignment" Signal
The highest-conviction entry point—and the primary "Alpha" of this tool—occurs when:
The macro trend is Bullish ( Blue Line > 0 ).
The market experiences a correction, pushing the Orange (AXIS) Line into the Green Capitulation Zone.
The AXIS Score turns back upward.
This indicates that a short-term panic has been absorbed by a long-term bull trend—the ideal "Buy the Dip" scenario.
Settings
• Long/Short RoC: Standardized to 14/11 for cycle accuracy.
• Weighting: Allows you to prioritize trend (Coppock) or cycle sensitivity (%R).
• Visibility Toggles: Fully customizable display switches for each line.
Credits
• Edwin Coppock: For the foundation of long-term recovery momentum.
• Larry Williams: For the Percent Range methodology.
⚠️ Note: This indicator is optimized for the Daily (1D) Timeframe. Please switch your chart to 1D for accurate signal reading.
Disclaimer
This script is for research and educational purposes only. Past performance does not guarantee future results.
Tags
bitcoin, btc, axis, momentum, oscillator, coppock, williams r, on-chain, valuation, cycle, Rob Maths
RSI with 3 Separate Smoothing AveragesRSI has 3 moving averages, to help trade better
RSI period can be adjusted
Moving average has multiple selections (SMA, EMA, HMA)
moving average cross over can be used as signal for trades
Trade at your own risk
