تحليل الاتجاه
pD Zones [MMT]pD Zones plots a clean set of intraday high‑of‑day (HOD) and low‑of‑day (LOD) zones that automatically extend forward, flip color on mitigation, and archive as historical levels for context. It is designed to give intraday traders a simple visual map of premium/discount zones derived from a chosen calculation timeframe.
Overview
Objective : Highlight the current day’s HOD/LOD wick zones as actionable intraday support and resistance.
Core logic runs on a user‑selectable source timeframe (default 15m), then projects those zones onto any chart you are trading.
Zones extend into the future, react to price via mitigation logic, and then optionally roll into a dimmed historical layer.
Zone logic
Each session, the script tracks the extreme high and low plus their wick limits (open/close‑based) on the source timeframe to form two intraday zones.
When a new day starts, the finalized prior‑day zones are “locked in” and the current day begins tracking a fresh HOD/LOD pair.
Only one HOD and one LOD zone are created per day, reducing clutter and keeping focus on the most relevant levels.
Mitigation & color flips
Active HOD zones behave as resistance: a decisive break above the top of the box flips it to a bullish (supportive) color profile, while a move back below can re‑flip it.
Active LOD zones behave as support: a break below the bottom of the box flips it to a bearish profile, and a sustained reclaim can re‑flip it as well.
Once mitigated and carried into a new day, zones are restyled with a softer historical color so they remain visible but unobtrusive.
Alerts
When price breaks a HOD zone to the upside, the script can trigger an alert message noting that HOD resistance has been broken and showing the exact level.
When price breaks a LOD zone to the downside, an alert notes that LOD support has been broken, again with the precise price printed.
These alerts are meant for intraday confirmation of structure shifts at key daily extremes, rather than frequent scalper signals.
Inputs & customization
- Calculation Timeframe: choose which timeframe defines the daily HOD/LOD zones (e.g., 5m, 15m, 1h), independent from the chart.
- Visual Settings: customize support/resistance fill colors and border color to integrate with existing layouts.
- Logic Settings:
Max Active Zones: cap how many live zones remain on the chart at once to control noise.
Max Historical Zones: keep only the most recent historical levels or show all past days.
Zone Extension Offset (Bars): control how aggressively boxes project into the future.
- Mitigation Settings: choose the historical zone color to distinguish active levels from archived ones at a glance.
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).
AperonFx Pivot Points 1.1This indicator plots ATR-based pivot levels with a clean, institutional layout.
The central pivot (P) is calculated from the selected timeframe and price formula, while support and resistance levels are placed at equal distance steps above and below the pivot.
Users can choose between an automatic step based on ATR or a fixed price step for fully controlled, symmetric levels.
All levels are drawn as continuous segments that align precisely with the active pivot period.
Price annotations are displayed in a minimal, unobtrusive style and always match the exact level values.
The indicator is designed to remain consistent across chart timeframes without recalculation drift.
It is intended for traders who want clear, structured reference levels rather than reactive signals.
ARM-EMA COLOR BUY SELLPrice action trading is about reading what the market is doing, so you can deploy the right trading strategy to reap the maximum benefits. In simple words, price action is a trading technique in which a trader reads the market and makes subjective trading decisions based on the price movements, rather than relying on technical indicators or other factors.
At its most simplistic, it attempts to describe the human thought processes invoked by experienced, non-disciplinary traders as they observe and trade their markets. Price action is simply how prices change - the action of price. It is most noticeable in markets with high liquidity and price volatility, but anything that is traded freely (in price) in a market will per se demonstrate price action.
ARM-EMA TREND BARSPrice action trading is about reading what the market is doing, so you can deploy the right trading strategy to reap the maximum benefits. In simple words, price action is a trading technique in which a trader reads the market and makes subjective trading decisions based on the price movements, rather than relying on technical indicators or other factors.
At its most simplistic, it attempts to describe the human thought processes invoked by experienced, non-disciplinary traders as they observe and trade their markets. Price action is simply how prices change - the action of price. It is most noticeable in markets with high liquidity and price volatility, but anything that is traded freely (in price) in a market will per se demonstrate price action.
Apex Trend & Liquidity Master V2.1The Apex Trend & Liquidity Master is a hybrid trading system designed to align traders with the dominant market trend while identifying key structural price levels. Unlike simple moving average crossovers or standalone support/resistance tools, this script integrates a volatility-adaptive "Trend Cloud" with a "Smart Liquidity" engine.
This integration allows the script to offer unique filtering capabilities, such as hiding counter-trend liquidity zones to reduce chart noise and focus on high-probability continuations.
How It Works
Adaptive Trend Cloud The backbone of the system is the Trend Cloud, calculated using a Hull Moving Average (HMA) base with ATR bands. The cloud expands and contracts based on market volatility.
Green Cloud: Bullish Regime. The market is trending up; look for long opportunities.
Red Cloud: Bearish Regime. The market is trending down; look for short opportunities.
Smart Liquidity Zones (with Integration) The script automatically detects Pivot Highs and Lows to draw Supply (Resistance) and Demand (Support) zones. These zones persist until price breaks through them (mitigation).
Integration Feature: A "Filter Zones by Trend" option is included in the settings. When enabled, this feature connects the Trend Cloud to the Liquidity Engine:
It will only display Demand zones when the Trend Cloud is Bullish.
It will only display Supply zones when the Trend Cloud is Bearish.
Note on Lag: Zones are based on pivots (default lookback: 10). A zone appears on the chart 10 bars after the pivot forms. These are historical structural levels.
Signal Filters Buy and Sell labels are generated when the Trend Cloud changes color, but they are filtered to ensure quality:
Volume Filter: Signals only appear if the current volume is higher than the 20-period average.
RSI Filter: Prevents buying when RSI is overbought (>70) or selling when oversold (<30).
Live HUD An on-chart dashboard provides real-time data on:
Trend Bias: Direction of the cloud.
Momentum: RSI strength (Weak/Neutral/Strong).
Volume: High vs. Low activity.
Usage Guide
Identify the Trend: Use the background fill color to determine if you should be looking for longs (Green) or shorts (Red).
Wait for Structure: Look for price to pull back into a "Smart Liquidity" zone. For example, in a Green Trend, wait for price to touch a Green Demand box.
Confirm with Momentum: Check the Dashboard. Ideally, you want to see "Strong" momentum aligning with your trade direction.
Settings: If the chart is too cluttered, enable "Filter Zones by Trend" in the settings menu to hide counter-trend boxes.
Credits & Attribution This script combines original integration logic with adapted open-source concepts:
Smart Liquidity Logic: The method for generating Supply/Demand boxes via Pivot Highs/Lows and array management is adapted from open-source logic commonly used in Smart Money Concepts (SMC) indicators, notably popularized by LuxAlgo and the broader Pine community.
Trend Logic: The volatility cloud utilizes standard Hull Moving Average (HMA) and ATR formulas.
Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice. Past performance of pivot levels or trend signals does not guarantee future results.
Razzere Cloned! V.8.1The foreign exchange market (forex, FX, or currency market) is a global decentralized or over-the-counter (OTC) market for the trading of currencies. This market determines foreign exchange rates for every currency. By trading volume, it is by far the largest market in the world, followed by the credit market.
The main participants are the larger international banks. Financial centres function as anchors of trading between a range of multiple types of buyers and sellers around the clock, with the exception of weekends. As currencies are always traded in pairs, the market does not set a currency's absolute value, but rather determines its relative value by setting the market price of one currency if paid for with another. Example: 1 USD is worth 1.1 Euros or 1.2 Swiss Francs etc. The market works through financial institutions and operates on several levels. Behind the scenes, banks turn to a smaller number of financial firms known as "dealers", who are involved in large quantities of trading. Most foreign exchange dealers are banks, so this behind-the-scenes market is sometimes called the "interbank market". Trades between dealers can be very large, involving hundreds of millions of dollars. Because of the sovereignty issue when involving two currencies, Forex has little supervisory entity regulating its actions. In a typical foreign exchange transaction, a party purchases some quantity of one currency by paying with some quantity of another currency.
Market Pressure Regime [Interakktive]The Market Pressure Regime (MPR) is a 4-state market classifier that models how structural forces create "pressure zones" — regions where price movement is either supported (Release) or suppressed (Pinned) by market microstructure.
It combines compression analysis, follow-through efficiency, and stress detection into a composite pressure score, classifying markets into Release, Suppressed, Transition, or Trap states — helping traders understand WHY price is moving (or not moving) in the current environment.
█ USAGE
MPR addresses a core question traders face: Is the market in a regime where directional moves are likely to follow through, or is it structurally pinned?
For swing traders, MPR identifies Release phases where momentum strategies work best, and Suppressed phases where mean reversion dominates.
For day traders, it highlights Trap conditions — high effort with no follow-through — where reversals are probable and trend entries fail.
🔹 The 4-State Model
The indicator classifies markets into four distinct regimes:
• Release (Teal): Pressure score ≥ +5. Directional flow dominates. Price moves efficiently with follow-through. Favor trend continuation.
• Suppressed (Grey): Pressure score ≤ -5. Compression dominates. Price is range-bound or pinned. Fade extremes, expect reversion.
• Transition (Amber): Score between thresholds OR instability detected. Regime is uncertain — wait for confirmation before committing.
• Trap (Magenta): High stress + low follow-through. Effort without result. Expect reversals.
🔹 Reading the Pressure Histogram
The histogram displays the composite Pressure Score (range approximately -100 to +100):
• Positive values: Follow-through exceeds compression. Market is "releasing" — directional moves are supported.
• Negative values: Compression exceeds follow-through. Market is "suppressed" — price movement is constrained.
• Color reflects confirmed state: The histogram uses persistence filtering — a state must hold for N bars before the color changes, preventing false signals from noise.
🔹 The 5-Stage Calculation
MPR synthesizes five analytical stages into the final state:
1. Compression Score: Measures how tight the current range is relative to ATR. High compression suggests structural forces are pinning price.
2. Follow-Through Score: Measures price path efficiency (MER-style). Efficient moves indicate genuine directional flow, not chop.
3. Stress Score: Detects effort-without-result (ERD-style). High volume or range with no price progress = absorption.
4. Composite Pressure: Combines follow-through and compression into a single directional score.
5. Persistence Filter: Requires states to hold for configurable bars before confirming, eliminating flickering.
█ SETTINGS
Core Settings
• ATR Length: Period for volatility normalization. Default 14.
• Baseline Lookback: Period for compression and efficiency baselines. Default 20.
• Volume Average Length: Period for stress calculation baseline. Default 20.
State Classification
• Release Threshold: Pressure score above this = Release. Default +5.
• Suppressed Threshold: Pressure score below this = Suppressed. Default -5.
• Trap Threshold: Stress score above this (with low follow-through) = Trap. Default 30.
• Persistence Bars: Bars required to confirm state change. Default 3.
• Stability Lookback: Period for stability calculation. Default 20.
• Stability Threshold: Below this = forced Transition state. Default 0.5.
Visual Settings
• Show Pressure Histogram: Display the main pressure score histogram.
• Show Zero Line: Display the zero reference line.
• Show Background Tint: Subtle background color by state (default OFF).
Data Window
• Show Data Window Values: Export all calculated scores for analysis.
█ INTERPRETATION GUIDE
When to Use Trend Strategies (Release):
• Histogram tall and positive
• Teal coloring confirmed
• Price making efficient higher highs or lower lows
When to Use Mean Reversion (Suppressed):
• Histogram flat or negative
• Grey coloring confirmed
• Price oscillating without follow-through
When to Wait (Transition):
• Amber coloring
• Mixed signals — don't force trades
• Wait for state to resolve
When to Expect Reversals (Trap):
• Magenta coloring
• High volume moves that don't stick
• Often occurs at structural inflection points
█ COMPLEMENTARY TOOLS
MPR pairs well with:
• Volatility State Index (VSI) — Confirms whether volatility is expanding into the pressure regime
• Effort-Result Divergence (ERD) — Provides bar-by-bar absorption/vacuum detection
• Market Efficiency Ratio (MER) — Validates follow-through quality
█ SUITABLE MARKETS
Works across all liquid markets:
• Equities: SPY, QQQ, liquid single stocks
• Futures: ES, NQ, CL, GC
• Crypto: BTC, ETH
• Forex: Major pairs
Works on any timeframe, but 1H–Daily provides cleanest regime classification. Intraday (5m–15m) useful for session-level tactical decisions.
█ OPEN SOURCE
This indicator is open-source for educational purposes. Review the code to understand the full calculation methodology.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management.
SMH_DualMomentum (ROC + Volume Trend)SMH Dual Momentum (ROC + Volume Confirmation)
This indicator identifies high-quality bullish trends by combining price momentum (Rate of Change) with volume confirmation, and exits when momentum structurally fails.
Core Logic
BUY signal
Rate of Change (ROC) over N periods is above a positive threshold (strong upside momentum)
Current volume is above its moving average (rising market participation)
SELL signal
ROC crosses below zero, indicating loss of bullish momentum
Why It Works
ROC measures the speed and strength of price movement, filtering out weak or drifting trends
Volume confirmation ensures momentum is supported by real capital flow, reducing false breakouts
Momentum-based exit avoids prolonged drawdowns and capital stagnation
Key Advantages
Focuses on trend continuation, not prediction
Filters out low-quality price moves and range-bound markets
Captures long, high-conviction trends with relatively few trades
Simple, robust rules using only price and volume
Best Use Cases
Designed for trend-driven ETFs such as SMH (Semiconductors)
Suitable for swing to position trading on daily charts
Works best in markets with strong sector rotation and institutional participation
Notes
This is a trend-following momentum tool, not a mean-reversion indicator
No stop-loss is built in; risk management should be handled externally if required
Parameters can be adjusted to match different timeframes or assets
SMH DualMomentum Signals (ROC + Volume)SMH Dual Momentum (ROC + Volume Confirmation)
This indicator identifies high-quality bullish trends by combining price momentum (Rate of Change) with volume confirmation, and exits when momentum structurally fails.
Core Logic
BUY signal
Rate of Change (ROC) over N periods is above a positive threshold (strong upside momentum)
Current volume is above its moving average (rising market participation)
SELL signal
ROC crosses below zero, indicating loss of bullish momentum
Why It Works
ROC measures the speed and strength of price movement, filtering out weak or drifting trends
Volume confirmation ensures momentum is supported by real capital flow, reducing false breakouts
Momentum-based exit avoids prolonged drawdowns and capital stagnation
Key Advantages
Focuses on trend continuation, not prediction
Filters out low-quality price moves and range-bound markets
Captures long, high-conviction trends with relatively few trades
Simple, robust rules using only price and volume
Best Use Cases
Designed for trend-driven ETFs such as SMH (Semiconductors)
Suitable for swing to position trading on daily charts
Works best in markets with strong sector rotation and institutional participation
Notes
This is a trend-following momentum tool, not a mean-reversion indicator
No stop-loss is built in; risk management should be handled externally if required
Parameters can be adjusted to match different timeframes or assets
Friday Statistical Zones - Last 30 Fridays Only BTC 📊 Friday Statistical Zones (Pre / Dump / After)
This indicator highlights statistical risk zones for Fridays, based on the last 30 completed Fridays.
It analyzes historical price and volume behavior to determine:
• When a Pre-Dump phase typically starts
• When selling pressure statistically peaks
• When the After-Dump phase usually occurs
The result is a time-based overlay with three zones:
🟡 Pre-Dump · 🔴 Dump · 🟡 After-Dump
⚠️ This is not a signal indicator.
It does not predict price direction.
It provides risk-timing context only.
Best used for risk management and situational awareness on Fridays, not as a standalone trading strategy.
3MA Alignment Ribbon [AlgoTraderPro]3MA Alignment Ribbon is a clean, visual trend-structure indicator based on the alignment of three moving averages.
Instead of focusing on crossovers, it highlights trend quality and direction by dynamically coloring the moving averages and the ribbon between them.
The goal is simple : See at a glance whether the market structure is bullish, bearish, or neutral.
⸻
How It Works
The indicator plots three moving averages (Fast, Medium, Slow) and evaluates their alignment:
Bullish → Fast > Medium > Slow
Bearish → Fast < Medium < Slow
Neutral → Any other configuration
The moving averages and the filled ribbon between them are automatically colored based on this alignment, making trend conditions immediately visible.
⸻
Key Features
✅Multi-MA Support
Choose between:
EMA (default)
SMA
WMA
VWMA
RMA
HMA
✅ Alignment Modes
Strict: classic Fast > Medium > Slow logic
Tolerant: requires a minimum percentage separation between averages to reduce noise in ranging markets
✅ Optional Slope Filter
Filter signals by requiring the slow MA to be rising or falling, helping avoid false trend states during flat conditions.
✅ Higher Timeframe (HTF) Ribbon
Overlay the same 3MA alignment logic from a higher timeframe on your current chart:
Fully optional
Correctly calculated on the HTF itself
Option to use confirmed HTF bars only (reduces repaint confusion)
✅ Alerts & Visual Signals
Alerts when alignment turns Bullish, Bearish, or Neutral
Optional on-chart markers when the alignment flips
✅ Custom Styling
Fully customizable colors and transparency
Designed to remain readable without cluttering the chart
⸻
How to Use It
This indicator works best as:
A trend filter for discretionary trading
A context tool for entries using other setups
A market structure overlay for scalping, swing trading, or position trading
It does not generate buy/sell signals by itself — instead, it helps you trade aligned with market structure.
⸻
Default Settings
The default lengths (50 / 100 / 200 EMA) are suitable for most markets and timeframes, including crypto, forex, indices, and equities.
sullaojo 3mHere is the English translation for the alert setup instructions:
**How to Set Up Alerts (After Adding the Code)**
1. Click the **Add to chart** button to apply the indicator to your graph.
2. Click the **Alarm Clock icon (Alerts)** on the top right toolbar of TradingView, or press `Alt + A`.
3. In the **Condition** field:
* Select the indicator named **"MA Crossover Buy Alert..."**
* Select **"แจ้งเตือนซื้อ (Buy Alert)"** to receive only buy signals.
4. In the **Trigger** (or Options) section: Select **Once per bar close**.
*(This is recommended per the textbook to confirm that the closing price actually crossed the line, avoiding false signals during intraday volatility.)*
5. Check **Notify on App** (for mobile) or **Show pop-up** as desired, then click **Create**.
Now, when the moving averages cross according to the textbook's conditions, the system will send you an alert immediately!
Market Efficiency DashboardDescription
This indicator is an analytical tool designed to visualize the relationship between price action and market efficiency. Based on the Choppiness Index (CI), this indicator identifies whether the market is in a state of Range Contraction (Consolidation) or Range Expansion (Trending) . This implementation introduces a unique 50-pivot baseline to better differentiate between these two market characters, providing traders with an objective view of volatility cycles.
Key Features
Volatility Cycle Logic: A refined implementation of the Choppiness Index that assists in filtering market noise during low-volatility periods.
Pivot-50 Visualization: A custom geometric layout that separates range contraction from trend expansion for faster visual interpretation.
Multi-Timeframe (MTF) Data Handling: Enables the monitoring of higher-timeframe efficiency cycles without switching charts.
Trend Context Filter: Integrates a 200-period EMA to provide a directional baseline relative to the current market state.
Real-Time Status Dashboard: A real-time data table providing a summary of current market efficiency and trend bias.
Signal Refinement: Includes optional smoothing (EMA/SMA/WMA) to reduce calculation "jitter" and provide clearer structural signals.
Inputs Overview
Choppiness Length: Sets the lookback period for the efficiency calculation (Default: 14).
Calculation Timeframe: Allows the user to select the source timeframe for the index data.
Smoothing Method: Users can choose between multiple moving average types to filter the raw index output.
Threshold Levels: Customizable Fibonacci-based levels (61.8 and 38.2) used to define the boundaries of "Choppy" and "Trending" environments.
EMA Filter: Toggle for the 200-period Exponential Moving Average used for directional bias.
How to Use
Context Identification: Observe the histogram’s position relative to the 50-pivot. Bars expanding upward toward the 61.8 level indicate the market is coiling/congested.
Trend Confirmation: Bars expanding downward toward the 38.2 level indicate the market is moving efficiently in a specific direction.
Bias Alignment: When the Trend Bias is Bullish and the state is Trending, price discovery is likely occurring to the upside. Conversely, a Bearish bias in a Trending state suggests efficient movement to the downside.
Risk Management: Rising choppiness levels often precede a period of trend exhaustion or reversal, signaling a potential time to reduce exposure.
How it Helps
This tool is designed to assist in objective decision-making by identifying the current "market character." By distinguishing between trending and non-trending environments, it helps traders select the appropriate strategy for the current context—avoiding trend-following entries during sideways markets and identifying when a market has entered a period of price expansion.
Alerts
Trend Starting: Triggers when the index crosses below the lower threshold, suggesting a transition into an efficient trend.
Squeeze/Consolidation: Notifies the user when the index crosses above the upper threshold, indicating range contraction.
Midpoint Cross: Signals when the index crosses the 50-level, marking a shift in market momentum.
⚠️ Disclaimer:
This script/indicator is not endorsed by, affiliated with, sponsored by, or connected to TradingView in any manner. The author is not a TradingView partner.
This script/indicator and all related content are provided “as is” and “as available,” without any warranties of any kind, express or implied. The content is strictly for educational and informational purposes and does not constitute financial, investment, trading, or legal advice.
The author makes no representations or guarantees regarding accuracy, reliability, profitability, or future performance. Use of this script/indicator is entirely at the user’s own risk, and the author assumes no liability for any losses, damages, or financial consequences arising from its use.
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
SuperTrend Weighted by Divergence█ OVERVIEW
SuperTrend Weighted by Divergence is a trend-following indicator based on the classic SuperTrend, enhanced with dynamic ATR weighting driven by divergences. Its key feature is adaptive behavior: when a divergence appears, the indicator temporarily reduces the ATR multiplier, allowing the trend line to react faster to potential market reversals.
The indicator remains clean, visually clear, and well suited for traders who want to combine trend-following with early detection of weakening momentum.
█ CONCEPT
One of the biggest drawbacks of trend indicators is their lagging nature, caused by the characteristics of source data. Classic SuperTrends react only after the trend has already developed, which often leads to late entries or exits.
The idea behind SuperTrend Weighted by Divergence is to introduce dynamic adjustment of the trend line in response to the first signs of trend weakening.
Instead of treating ATR as a constant volatility buffer, the indicator temporarily modifies its impact when the market sends warning signals in the form of price–oscillator divergences.
For divergence detection, a hidden auxiliary oscillator called “MPO4 Lines – Modal Engine” (default settings) is used. This oscillator is not displayed on the chart – only the points where divergences are detected are shown as markers on price bars.
Divergences do not generate direct entry signals; they are used solely to temporarily adjust the behavior of the SuperTrend.
If, after detecting a divergence against the current trend, a divergence in line with the trend appears, the previous divergence is invalidated and the SuperTrend returns to its standard behavior (base ATR multiplier).
█ FEATURES
Data sources:
- ATR (Average True Range)
- Reference point: HL2 (high/low average)
- MPO4 Lines – Modal Engine oscillator (hidden, used only for divergence detection)
Divergence logic:
- Bullish divergence: lower low in price + higher low in the oscillator
- Bearish divergence: higher high in price + lower high in the oscillator
- Divergences are detected using pivots (left/right)
- Divergence detection is delayed by the pivot length, as confirmation requires a fixed number of bars on the right side
Divergence impact:
- After a divergence is detected, the ATR multiplier is reduced
- The reduction strength is controlled by Divergence Sensitivity
- The effect is active only for a limited number of bars – 200 bars by default (divBars)
- The effect is canceled on trend change or when a trend-aligned divergence appears
Trend change logic:
- Trend changes only after a confirmed close beyond the trailing line
- No repainting
- Trend lines break at reversal points
Visual signals:
- “Buy” and “Sell” labels only on confirmed trend changes
- Optional bar coloring based on current trend (Color bars by trend)
- Soft fill between price and the trend line
- Divergence markers (dots above/below bars) shown at the point of divergence detection, not across the entire divergence structure
Alerts:
- Buy Signal – trend change to bullish
- Sell Signal – trend change to bearish
- Bullish Divergence
- Bearish Divergence
█ HOW TO USE
Adding the indicator:
Paste the code into Pine Editor or search for “SuperTrend Weighted by Divergence” on TradingView
Main settings:
- ATR Length – ATR period
- Base ATR Multiplier – base SuperTrend width
- Pivot Length – divergence sensitivity and detection delay
- Divergence Sensitivity – strength of divergence impact (0.0–1.0)
- Color bars by trend – enable / disable bar coloring
- Line and fill colors – fully customizable
Interpretation:
- Green line and bars = uptrend
- Red line and bars = downtrend
- Divergence against the trend = possible weakening and faster SuperTrend reaction
- Trend-aligned divergence = return to standard SuperTrend behavior
- No divergence = classic, stable SuperTrend behavior
█ APPLICATIONS
Ideal for:
- Trend-following
Entering positions only in the direction of the current trend, using the SuperTrend as a directional filter.
- Early detection of trend weakness
Repeated divergences against the trend may indicate decreasing momentum and a potential upcoming reversal.
- Markets with variable dynamics (crypto, indices, forex)
Entries based on trend changes, preferably confirmed by other tools such as Fibonacci levels, RSI, support/resistance, or market structure.
- Scalping, day trading, and swing trading (with parameter adjustments)
Increasing Divergence Sensitivity to around 0.4–0.5 produces many more signals on small, often short-lived moves.
These settings work well for scalping and day trading, but are not ideal for swing trading, as they tend to generate more false signals and frequent trend changes.
█ NOTES
- Works on all markets and timeframes
- Divergences are used to adapt SuperTrend behavior, not as standalone entry signals
- Higher Divergence Sensitivity = faster reaction and more signals
- Lower Divergence Sensitivity = smoother trend and fewer changes
- Best results are achieved by tuning parameters to the instrument and trading style
FatihStrategy: Universal Pivot System v3.3.1FatihStrategy: Universal Pivot System v3.3.1 is an advanced technical analysis indicator that combines multi-timeframe pivot averages with EMA trend filters in a single visual system.
🔹 How It Works
Depending on the selected pivot mode, the indicator calculates and visualizes:
Daily & 3-Day Average Pivots
Weekly & 3-Week Average Pivots
Monthly & 3-Month Average Pivots
Yearly & 3-Year Average Pivots
The difference between pivot levels is displayed as colored boxes:
Red Box → Lower timeframe pivot zone
Yellow Box → Higher timeframe pivot zone
These zones help identify potential support, resistance, and consolidation areas.
🔹 EMA Trend Support
Optional exponential moving averages:
20 EMA
50 EMA
200 EMA
can be enabled to assist with trend direction and trade filtering.
🔹 Suitable For
Day traders and swing traders
Pivot-based strategies
Traders looking for clear visual support/resistance zones
Crypto, forex, and stock market analysis
⚠️ Disclaimer
This indicator is not financial advice.
Always use proper risk management and confirm signals with your own trading strategy.
Daily/Weekly Swing Highs-Lows + Candle PatternsDescription
Daily/Weekly Swing Highs-Lows + Candle Patterns
This indicator plots the most recent Daily and Weekly Swing Highs and Lows (key support/resistance levels) using a simple and effective logic: a swing high/low is confirmed when the previous bar's extreme is higher/lower than both the current and the one before it.
Features:
• Daily Swing Highs/Lows (teal/maroon circles) – toggleable
• Weekly Swing Highs/Lows (blue/purple circles) – optional
• Visual separators for new daily and weekly bars (light background color)
• Daily candle pattern labels (optional):
- US = Up Swing (strong bullish continuation)
- DS = Down Swing (strong bearish continuation)
- IN = Inside Bar
- OUT = Outside Bar
• Daily close position labels (optional):
- P = Positive (close in upper 25% of the range)
- mP = minor Positive (50–75%)
- mN = minor Negative (25–50%)
- N = Negative (lower 25%)
All elements are fully customizable (colors, visibility) and work on any timeframe.
Best suited for intraday timeframes (1 min to 4 hours) where daily and weekly key levels provide important context for price action and reversals.
The optional "Trading session length" input is mainly useful for markets with shorter sessions (e.g., European indices) and does not affect swing detection.
Open-source, free to use and modify.
How to Use the Indicator + Practical Use Case
Key Settings (Inputs)
Trading session length (hours) → Default 8.5 h (useful for FTSEMIB, DAX, etc.). Leave it as is unless you trade a market with a different session length.
Daily Swing Levels → Show/Hide daily swing highs (teal) and lows (maroon).
Weekly Swing Levels → Usually keep off on intraday charts to avoid clutter (turn on for higher-timeframe context).
Daily Candle Patterns → Enable only if you want to see US/DS/IN/OUT labels on the daily close.
Close Position (P/mP/mN/N) → Enable if you want to quickly see how strong/weak the daily close was.
What You See on the Chart
Teal circles = Last confirmed daily swing high (resistance).
Maroon circles = Last confirmed daily swing low (support).
Blue/purple circles (if enabled) = Weekly swing high/low.
Light gray background = Start of a new trading day.
Purple background (if weekly enabled) = Start of a new week.
Small labels on daily close (if enabled):
- US = strong bullish day
- DS = strong bearish day
- IN = inside bar (consolidation)
- OUT = outside bar (expansion)
- P/mP/mN/N = how far the close was from the high/low of the day.
Best Timeframes 1 min to 240 min charts → Daily levels act as major support/resistance zones for intraday trading.
Avoid using on daily or higher charts (the logic is designed for intraday context).
Why this works well intraday:
The daily swing high/low levels are high-probability zones where institutions and algorithms often defend positions. On intraday charts, they act as “magnets” for price, giving you clean entries and exits with clear invalidation levels.
This indicator keeps your chart clean while providing exactly the context most intraday traders need: key daily levels + daily momentum context.
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
RS of long term KSTDescription
Relative Strength of KST (Know Sure Thing) momentum between a stock and a reference index (e.g., Intesa San Paolo vs. FTSEMIB).
This indicator computes the KST oscillator separately for the chart symbol and the comparative symbol, then plots the difference (stock KST minus index KST). A positive or rising value indicates the stock has stronger momentum than the benchmark.
Best used on weekly timeframes.
Features:
- Fully configurable KST parameters (ROC lengths, SMA smoothing, weights).
- Signal line (SMA of the RS of KST) for potential crossover signals.
- Zero line for reference.
Rising values or crossings above the signal line may suggest improving relative momentum.
What the Script Does
This indicator calculates the Relative Strength of the KST momentum oscillator between the current chart symbol (e.g., a stock) and a comparative symbol (default: FTSEMIB).
KST Calculation (Know Sure Thing oscillator, originally developed by Martin Pring), computes four Rate-of-Change (ROC) values with different lengths (10, 13, 15, 20 by default). Each ROC is smoothed with its own SMA. The four smoothed ROCs are weighted (weights 1, 2, 3, 4 by default) and summed to create the final KST value.
This is done separately for: The chart symbol → kst
The comparative symbol → kstSymbol
Relative Strength of KST res = kst - kstSymbol
This is a subtraction-based relative strength (difference) of the two KST values, not a ratio, as to avoid singularity (division by zero).
A rising line or value above zero means the stock’s momentum (KST) is stronger than the index’s momentum.
Plotting Plots the RS of KST as a blue line.
Overlays a gray SMA (default length 10) with cross style (acts as a signal line).
Horizontal line at zero for reference.
This is best used on weekly charts (as KST is typically a longer-term momentum indicator).
