EngulfingThe 'Engulfing' is a straightforward price action tool designed to highlight momentum shifts through color-coded candles. You also get a layer of manual control with a custom candle range setting. This feature allows you to filter out small, insignificant candles and focus only on patterns that meet your specific entry criteria.
This indicator is intended to be used strictly as a confluence tool, not a standalone trading system. It is most effective when used to confirm entries at key areas of interest, such as established support and resistance or supply and demand zones. To find valid trades, avoid trading every highlighted candle in isolation; instead, use the color changes as a visual signal that momentum is shifting at a structurally important price level.
Wskaźniki i strategie
Flux Portfolio Visualizer | GL0WDASHFlux Portfolio Visualizer | GL0WDASH
Flux Portfolio Visualizer lets you simulate and track the performance of a multi-asset portfolio directly on the chart.
Choose up to 10 assets, assign custom allocation weights, and set a start date to generate a real-time equity curve based on historical price data.
The script performs one-time proportional allocation at the start date and then tracks equity forward without rebalancing, giving you a realistic view of how your portfolio would have evolved over time. It also includes a maximum equity drawdown tracker and an optional level line for reference.
Features:
• Allocate to up to 10 assets with custom weight percentages
• Specify initial capital and simulation start date
• Real-time equity curve based on confirmed bars
• Maximum equity drawdown tracking + table display
• Optional horizontal reference line
• Designed for long-horizon allocation experiments
Great for:
• Passive portfolio stress-testing
• Comparing allocation strategies
• Evaluating long-term crypto/asset mixes
• Visualizing risk via max drawdowns
This tool does not execute trades or rebalance—its purpose is pure visualization, giving traders clarity about how portfolios behave under different allocation assumptions.
If you expand or modify the indicator, please credit the original author.
BTC Gann Harmonics Weighted + Phase + EMA OptimizedBTC Gann Harmonics Weighted + Phase + EMA Optimized
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.
Candle Strength Analyzer by The Ultimate Bull Run🎯 WHAT IT MEASURES
The score combines 4 key factors:
1️⃣ BODY RATIO (30%)
How much of the candle is "body" vs "wicks"
• 90%+ = Marubozu (very strong)
• 70%+ = Strong
• <30% = Weak/Indecision
2️⃣ CLOSE POSITION (25%)
Where the candle closed within its range
• Bullish closing near high = Strong
• Bearish closing near low = Strong
• Closing in middle = Weak
3️⃣ RELATIVE VOLUME - RVOL (25%)
Current volume compared to average
• RVOL 2.0+ = Very high activity
• RVOL 1.5+ = High (confirmed move)
• RVOL <0.7 = Low (unconfirmed)
4️⃣ SIZE vs ATR (20%)
Candle size compared to typical volatility
• 2x ATR = Large, significant
• 1x ATR = Normal
• 0.5x ATR = Small, insignificant
QT-Cycles-Clear-View(Theory by DAYE)Quarter Theory – Short Summary
each cycle is segmented into four sequential quarters (Q1–Q4).
Each quarter reflects a distinct phase of liquidity, volatility, and participant behavior.
The theory focuses on when price is likely to move, rather than predicting direction.
Implemented Cycles
W.C (Weekly Cycle) – Day-to-day quarters on the 1H chart
D.C (Daily Cycle) – 6-hour quarters on the 15-minute chart
90M Cycle – Quarters within each 90-minute period
Micro Cycle – Short-term quarters within 23-minute cycles
/ Theory © DAYE
// Indicator implementation by M.A
// All rights to the original theory belong to DAYE.
// This script is an independent implementation.
Intraday for Future By TradeEarnIntraday Strategy (StochRSI + VWAP + EMA)
Overview The Intraday Pullback Scalper is a specialized trend-following strategy designed for futures and equity traders who prefer to enter existing trends on pullbacks rather than chasing breakouts. By combining volume-weighted data (VWAP) with exponential moving averages (EMA) and momentum oscillators (Stochastic RSI), this script identifies high-probability entry points during intraday sessions. It includes built-in automation hooks (Alerts) compatible with bridge services for seamless execution.
How It Works
The strategy relies on a three-step confirmation process to filter noise and precision-time entries:
Trend Definition (The Filter):
VWAP (Volume Weighted Average Price): Acts as the primary regime filter. Longs are only permitted if price > VWAP; Shorts only if price < VWAP.
EMA (Exponential Moving Average): A secondary trend filter (default 100 periods) ensures alignment with the broader trend.
Time Range Breakout (Optional): Users can enable an "Initial Balance" filter where trades are only taken if the price breaks out of a specific time range (e.g., first hour High/Low).
Entry Trigger (The Signal):
Long Entry: The market must be in an Uptrend (Price > VWAP & EMA). The script waits for a "dip" where the Stochastic RSI drops below the Oversold level (default 20) and then crosses back up.
Short Entry: The market must be in a Downtrend (Price < VWAP & EMA). The script waits for a "rally" where the Stochastic RSI rises above the Overbought level (default 80) and then crosses back down.
Risk Management:
The strategy uses fixed Target Profit and Stop Loss values defined in currency (₹) relative to the trade quantity.
It features visual SL and TP lines on the chart for the duration of the trade to assist with manual monitoring.
Key Features
Universal Compatibility: Works on the "Current Chart" (Nifty, Bank Nifty, Stocks, Commodities) without needing complex dropdown selection.
Visual Dashboard: An on-screen table displays the Current Trade Status (Long/Short), Trend Direction, and Running P&L in real-time.
Algobaba Bridge Ready: Pre-formatted alert messages are included for users utilizing the Algobaba bridge for automation (supports MIS/NRML product types).
Customizable Trend Filters: Users can toggle the Time Range filter or adjust the VWAP Anchor (Session, Week, Month).
Settings & Configuration
Trade Quantity: Set your default lot size (e.g., 50 for Nifty).
Risk Settings: Define Target and Stop Loss in Rupees (₹) per trade setup.
Indicators: Adjustable lengths for EMA, RSI, and Stochastic.
Trading Window: Restrict entries to specific session hours (e.g., 09:15 - 15:10).
⚠️ IMPORTANT DISCLAIMER & RISK WARNING ⚠️
1. Educational Purpose Only This strategy script is provided solely for educational, informational, and research purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any securities, futures, or derivatives. The author is not a SEBI registered Research Analyst or Investment Advisor.
2. No Guarantee of Profit The "P&L" and performance metrics displayed on the chart are hypothetical and based on historical data. Past performance is not indicative of future results. Market conditions change, and a strategy that worked in the past may fail in the future.
3. Limitations of Backtesting
Slippage & Commission: The script results may not fully account for real-world execution costs such as broker commissions, taxes (STT/GST), slippage, or liquidity issues.
Repainting/Data Lag: While every effort is made to ensure code stability, real-time data feeds may vary from historical data due to internet latency or data provider differences.
4. High Risk in Derivatives Trading Futures and Options (F&O) involves a substantial risk of loss and is not suitable for every investor. You can lose more than your initial capital. Please assess your risk tolerance and financial situation before trading.
5. Automation & Third-Party Tools This script includes alert messages formatted for third-party bridge services (e.g., Algobaba). The author assumes no responsibility for:
Technical failures, API errors, or connectivity issues with your broker or bridge provider.
Incorrect order execution resulting from automation.
Users are solely responsible for monitoring their trades and verifying order execution.
Usage Agreement By using this script, you acknowledge that you are trading at your own risk and hold the author harmless from any losses incurred. Always test on a paper trading account before deploying real capital.
EV Algo SMT 15m on 1mEV Algo SMT is a multi-timeframe SMT divergence indicator that compares price action between two correlated markets.
It uses higher timeframe pivots while plotting signals on a lower timeframe chart, helping identify potential bullish and bearish divergences with confirmation on candle close.
EV Algo SMT 15m on 1mEV Algo SMT is a multi-timeframe SMT divergence indicator that compares price action between two correlated markets.
It uses higher timeframe pivots while plotting signals on a lower timeframe chart, helping identify potential bullish and bearish divergences with confirmation on candle close.
Phantom Trend Filter [BOSWaves]Phantom Trend Filter - Volatility-Gated Trend Mapping with Fake Move Suppression
Overview
Phantom Trend Filter is a market-state and trend-validation framework designed to help traders distinguish between directional opportunity and structural noise. Rather than attempting to predict price or generate constant entry signals, Phantom focuses on identifying when trend information is reliable and when it should be ignored.
Most indicators attempt to remain active at all times. Phantom does the opposite. It is built around the idea that markets frequently enter conditions where directional interpretation is misleading - whether through consolidation, volatility expansion, artificial momentum bursts, or weak underlying trend participation. In these phases, acting on trend information often leads to poor trade quality. Phantom is designed to recognize these environments and deliberately suppress bias during them.
The result is an indicator that spends a meaningful amount of time telling the trader not to trade.
Conceptual Alignment and Regime Philosophy
Phantom operates on a regime-aware philosophy similar to advanced volatility frameworks: markets transition through identifiable states, and not all states are suitable for directional interpretation.
Rather than measuring opportunity by price movement alone, Phantom evaluates whether participation, volatility behavior, and directional imbalance are aligned. When these elements diverge, trend interpretation becomes statistically fragile. Phantom reframes trend analysis away from constant engagement and toward conditional relevance. It does not ask where price is likely to go, but whether directional reasoning is currently justified at all.
Structural Trend Framework
At its core, Phantom Trend Filter employs a low-lag filtering mechanism designed to model price behavior across two distinct temporal sensitivities. One component responds rapidly to immediate price pressure, while the other captures broader directional context. Together, they form an adaptive structure that tracks price fluidly without relying on fixed bands, static smoothing, or conventional averaging assumptions.
Rather than treating these components as isolated signals, Phantom interprets their interaction as a cohesive trend framework. The space between them defines an active zone where price engagement conveys information about market participation, continuation strength, or emerging exhaustion. A dynamically calculated balance reference within this structure reflects the equilibrium between short-term pressure and higher-order directional force.
Trend direction is derived strictly from relative structural positioning, not exaggerated slope changes or reactive trigger events. This design minimizes over-responsiveness and maintains structural integrity during consolidation phases, avoiding the constant recalibration common in traditional trend tools.
Market State Awareness and Filtering Philosophy
Trend indicators often fail not because their logic is incorrect, but because they are applied indiscriminately across all market states. Phantom is built around the assumption that trend logic is only meaningful when certain conditions are met.
To address this, Phantom incorporates multiple independent measurements designed to assess whether current price movement represents genuine directional intent or transient distortion. These measurements do not attempt to forecast price; instead, they evaluate quality.
Volatility is assessed relative to historical baselines rather than absolute expansion. Momentum is normalized to avoid reacting to short-lived impulses. Trend strength is evaluated through directional imbalance rather than price slope alone. Price behavior is examined for whipsaw characteristics, where range expansion lacks follow-through. Consolidation is detected when price variance collapses relative to recent volatility.
Each of these components serves a single purpose: to decide whether trend interpretation should be trusted.
State-Based Regime Transitions
Phantom internally classifies market behavior into functional states rather than continuous gradients. These states are expressed visually through color, structure, and suppression rather than explicit labels.
A validated trend state emerges only when structural alignment, normalized volatility behavior, and directional imbalance agree. In contrast, when destabilizing forces dominate — such as volatility distortion, weak participation, compression, or whipsaw behavior - Phantom enters a suppressed state and removes directional bias entirely.
Transitions between these states are deliberately conservative. Phantom requires stabilization before re-enabling trend interpretation, preventing rapid flip-flopping during unstable market phases.
Fake Move Identification
When one or more destabilizing conditions are detected, Phantom classifies the environment as unreliable. These situations often correspond to what traders colloquially refer to as fake pumps, fake dumps, stop hunts, or algorithmic noise - though Phantom does not rely on labels or narrative.
In these states, Phantom intentionally removes directional bias. The indicator does not attempt to guess the eventual outcome of the move. Instead, it signals that any directional interpretation at that moment is statistically weaker.
This design choice is intentional and conservative. Phantom prioritizes capital protection and decision clarity over constant engagement.
Relationship to Volatility and Participation
Although Phantom is not a volatility oscillator, volatility behavior plays a critical contextual role in its filtering logic.
Rather than reacting to absolute volatility expansion, Phantom evaluates volatility relative to recent structural norms and directional participation. Elevated volatility without directional imbalance is treated as noise. Directional imbalance without supportive volatility structure is treated as fragile. This allows Phantom to suppress visually convincing but structurally weak moves - the type most commonly responsible for overtrading and stop-outs.
Visual Communication and Interpretation
Phantom communicates market state primarily through color and structure rather than symbols, markers, or signal arrows. This is a deliberate design decision aimed at reducing cognitive load.
When conditions validate a bullish environment, the Phantom structure and candles adopt a bullish color (green). When bearish conditions are validated, the structure reflects that state, adopting a bearish color (red). When filtering conditions dominate, the indicator shifts into a neutral gray state across bands, fills, and candles.
Gray is not indecision — it is information. It communicates that the system’s internal conditions do not support directional conviction. Traders are expected to interpret this as a stand-aside environment or as a warning against aggressive execution.
Adaptive Behavior and Trading Styles
Phantom offers two operational modes that adjust its sensitivity without altering its underlying philosophy. A faster mode responds more quickly to changes in price structure and is more suitable for lower timeframes or scalping environments. A slower mode increases stability, favoring higher timeframes and swing-based decision-making.
Importantly, neither mode attempts to optimize for signal frequency. Both prioritize environment validation first and directional interpretation second.
Use Cases
Use Case 1: Trend Participation With Built-In Noise Suppression
Phantom Trend Filter is designed for traders who want directional exposure without getting chopped to death. The adaptive trend structure highlights when price is being accepted within a dominant directional regime, while automatically muting conditions associated with weak participation, consolidation, or engineered volatility.
When the Phantom zone is colored and stable, it signals that price is operating within a structurally supported trend environment. When the zone turns neutral, it’s not indecision — it’s a warning that directional assumptions are statistically weak and capital should be protected. This makes Phantom especially effective as a trend permission filter rather than a trigger generator.
Use Case 2: Fake Pump / Dump Avoidance in High-Volatility Markets
In fast-moving or thin-liquidity conditions, Phantom excels at identifying structurally invalid moves - sharp expansions driven by volatility spikes, momentum bursts, or whipsaw price behavior that lack trend integrity. Instead of chasing candles, traders can use Phantom’s neutral state to stand aside during manipulated or exhaustion-driven moves, then re-engage only when price behavior realigns with sustained directional pressure.
Alerts and Practical Integration
Alerts within Phantom are intentionally conservative. Directional alerts only trigger when trend conditions are met and filtering logic is inactive. This ensures alerts correspond to structurally valid environments rather than transient fluctuations.
An additional alert notifies the user when Phantom detects unreliable conditions. This is not an entry or exit signal, but a contextual warning that trend-based logic may be compromised.
Phantom is best used as a filtering and confirmation layer rather than a standalone strategy. It pairs naturally with execution-based systems, structure tools, or discretionary price action approaches that benefit from knowing when trend bias is valid.
Design Intent and Limitations
Phantom Trend Filter is not designed to call tops or bottoms. It is not optimized for maximum trade frequency. It will intentionally keep traders out of the market during extended periods of uncertainty.
This is not a flaw. It reflects a design philosophy centered on reducing poor-quality decisions rather than maximizing engagement.
Traders who expect constant activity will find Phantom restrictive. Traders who prioritize clarity, patience, and structural alignment will find it useful.
What Phantom Is Not
Phantom is not a signal generator. It is not a predictive model. It is not designed to extract profit from every phase of the market.
Its value emerges through omission - by identifying when trend logic should not be applied.
Integration With Execution and Structure Tools
Phantom is most effective when paired with tools that answer how to execute rather than whether to engage. In this role, Phantom acts as a gating mechanism, conditioning execution logic rather than replacing it.
Operational Expectations
Phantom will spend extended periods in a neutral state. This behavior is intentional.
Markets spend more time transitioning, compressing, and distorting than trending cleanly. Phantom reflects this reality rather than obscuring it.
Final Notes
No indicator removes risk. No filter eliminates losses. Phantom does not attempt to outperform the market; it attempts to improve the conditions under which decisions are made.
Used correctly, it helps traders trade less - but trade better.
Risk Disclaimer
Phantom Trend Filter is a professional-grade trend-regime and volatility-filtering tool provided for educational and informational purposes only and does not constitute financial advice. It does not predict future price movement and does not guarantee profitability. Trading involves significant risk, and past performance is not indicative of future results. Performance depends on market conditions, parameter selection, disciplined execution, and proper risk management. Users are solely responsible for their own analysis, risk controls, and execution decisions.
Pro Towers Indicator Pro Towers Indicator is a professional all-in-one trading tool that combines buy signals, breakout candles, trend tracking, volume analysis, multi-timeframe dashboards, and target systems into a single indicator.
The indicator features:
Multi-timeframe signals dashboard
Colored breakout candles for clear visual entries
Golden volume candle to highlight strong momentum
Smart bottom confirmation signals
Daily, weekly, and monthly breakout detection
Bullish trend tracking with buy signals
Volume and classic indicators information banner
Automatic entry, take-profit, and stop-loss levels based on the latest signal candle
Designed with a clean and customizable visual style suitable for different trading approaches.
Disclaimer: This indicator is for technical analysis purposes only and does not constitute financial advice.
Pro Towers Indicator هو مؤشر احترافي متكامل يجمع بين إشارات الشراء، نماذج الشموع، اختراقات السعر، متابعة الترند، أنظمة الأهداف، ولوحات عرض متعددة الأطر الزمنية في أداة واحدة.
يوفّر المؤشر:
لوحة إشارات متعددة الفريمات (Multi-Timeframe Dashboard)
شموع اختراق ملوّنة لتوضيح فرص الشراء بصريًا
شمعة الحجم الذهبي لاكتشاف الزخم القوي
إشارات قاع ذكية لتحديد مناطق الانعكاس
نظام اختراق المستويات اليومية، الأسبوعية، والشهرية
نظام تتبع الترند الصاعد مع إشارات شراء
شريط معلومات للمؤشرات الحجمية والكلاسيكية
نظام أهداف ووقف خسارة تلقائي يعتمد على آخر شمعة إشارة
تم تصميم المؤشر بأسلوب بصري واضح وقابل للتخصيص ليتناسب مع مختلف أساليب التداول.
تنويه: هذا المؤشر أداة تحليل فني فقط ولا يُعد توصية استثمارية.
FairValueGap [Tradeuminati]Tradeuminati – (i)FVG is a free Fair Value Gap indicator for TradingView, built on a precise 3-candle structure and extended with Inverted Fair Value Gaps (iFVG) and an optional structure-based trend overview.
The indicator focuses exclusively on confirmed market structure, avoiding repainting and intrabar signals.
🔹 Features Overview
Fair Value Gaps (FVG)
- Detection of bullish and bearish Fair Value Gaps using a 3-candle formation
- FVGs are only displayed after the confirming candle has closed
- A Fair Value Gap remains valid until it is invalidated by a candle close
- Fully customizable colors, labels, and right-side extension
Fair Value Gaps (FVG)
- Detection of bullish and bearish Fair Value Gaps using a 3-candle formation
- FVGs are only displayed after the confirming candle has closed
- A Fair Value Gap remains valid until it is invalidated by a candle close
- Fully customizable colors, labels, and right-side extension
Trend Detection (Optional)
- Structure-based trend analysis on the 15-minute and 1-hour timeframes
- Trend is defined using Swing Highs and Swing Lows:
--> Higher Highs + Higher Lows → Uptrend
--> Lower Highs + Lower Lows → Downtrend
- Swing definition: center candle with X candles to the left and right (default: 1, fully adjustable)
- Trend is displayed in a compact trend table in the top-right corner
- Visual trend representation:
▲ Green = Uptrend
▼ Red = Downtrend
– Neutral / not yet confirmed
- Trend table can be enabled or disabled via settings
🔹 Technical Characteristics
- No repainting
- No intrabar signals
- Only confirmed candle closes are used
- Works on all markets and all timeframes
- Lightweight and performance-friendly
🔹 Use Case
This indicator is designed for traders who work with Price Action, Smart Money Concepts, market structure, or liquidity-based trading models, and who require a clear and reliable visualization of Fair Value Gaps and market trend.
⚠️ Disclaimer
This indicator does not provide trading or investment advice.
It is intended solely for technical chart analysis and decision support.
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
PSP VPCR Lead-Lag Sell Signal V2 30MTF 10% ProfitDescription
The PSP VPCR Lead-Lag Sell Signal V2 is an advanced sentiment-based trading tool designed to identify high-probability trend reversals in the Nifty Index and other markets. It operates on the "Lead-Lag" principle, which recognizes that Options Data—specifically the Volume Put Call Ratio (VPCR)—often moves ahead of the actual spot price.
By analyzing the divergence between price action and VPCR, this indicator detects when market momentum is losing steam even if prices are still climbing, or finding hidden strength even if prices are falling.
How it Works
The script uses a sophisticated Pivot-Based Divergence logic to ensure high accuracy and minimal noise:
Negative Divergence (Sell Signal): Occurs when the Nifty spot price makes a new "High," but the VPCR fails to break its previous "High". This indicates a lack of aggressive put writing at higher levels, signaling a potential market top.
Positive Divergence (Buy Signal): Occurs when the price makes a new "Low," but the VPCR remains above its previous "Low". This suggests hidden support and a potential trend reversal to the upside.
Non-Repainting Logic: To ensure reliability, the signals are generated based on confirmed pivot points. Once a candle closes and the pivot is confirmed, the signal remains fixed on the chart.
Key Features
Lead-Lag Analysis: Uses VPCR as a leading indicator to predict price exhaustion before it happens.
Optimized for Performance: Unlike basic divergence scripts that fire on every candle, this version uses a Pivot Lookback system to filter out market noise and provide only significant signals.
Multi-Market Applicability: While designed for Nifty, it can be applied to any asset where VPCR or similar volume-based PCR data is available.
Usage Instructions
Indicator Setup: Add the script to your chart (ideally on 5m, 15m, or 30m timeframes).
External Data Source: In the indicator settings, link the VPCR Data Source to your preferred VPCR indicator or data feed.
Trade Confirmation: Use the SELL (DIV) and BUY (DIV) labels as a primary signal, confirming with your existing price action or volume-based strategies.
OKXJsonLibrary "OKXJson"
f_buildId(prefix, instrument)
Parameters:
prefix (string)
instrument (string)
f_utcTimestamp()
f_investmentType(internalAction, entryType, closeType)
Parameters:
internalAction (string)
entryType (string)
closeType (string)
f_build(id, okxAction, marketPosition, prevMarketPosition, instrument, signalToken, timestampUtc, investmentType, amount, maxLagSeconds)
Parameters:
id (string)
okxAction (string)
marketPosition (string)
prevMarketPosition (string)
instrument (string)
signalToken (string)
timestampUtc (string)
investmentType (string)
amount (string)
maxLagSeconds (string)
