ICT ORB Killzones by MaxN (15 / 30m)Trading session open/close with first 15/30 min orbs
will just have to adjust time zones to your current time line
GMT +0
I use
Asia 23.00 - 06.00
London 07.00 - 16.00
New York 12.00 - 22.00
Análise de Tendência
TwinSmooth ATR Bands | QuantEdgeBTwinSmooth ATR Bands | QuantEdgeB
🔍 Overview
TwinSmooth ATR Bands | QuantEdgeB is a dual-smoothing, ATR-adaptive trend filter that blends two complementary smoothing engines into a single baseline, then builds dynamic ATR bands around it to detect decisive breakouts. When price closes above the upper band it triggers a Long regime; when it closes below the lower band it flips to Short—otherwise it stays neutral. The script enhances clarity with regime-colored candles, an active-band fill, and an optional on-chart backtest table.
✨ Key Features
1. 🧠 Twin-Smooth Baseline (Dual Engine Blend)
- Computes two separate smoothed baselines (a slower “smooth” leg + a faster “responsive” leg).
- Blends them into a single midpoint baseline for balanced stability + speed.
- Applies an extra EMA smoothing pass to produce a clean trend_base.
2. 📏 ATR Volatility Bands
- Builds upper/lower bands using ATR × multiplier around the trend_base.
- Bands expand in volatile conditions and contract when markets quiet down—auto-adapting without manual tweaks.
3. ⚡ Clear Breakout Regime Logic
- Long when close > upperBand.
- Short when close < lowerBand.
- Neutral otherwise (no forced signals inside the band zone).
4. 🎨 Visual Clarity
- Plots only the active band (lower band in long regime, upper band in short regime).
- Fills between active band and price for instant regime context.
- Colors candles to match the current state (bullish / bearish / neutral).
- Multiple color palettes + transparency control.
💼 Use Cases
• Trend Confirmation Filter: Use the regime as a higher-confidence trend gate for entries from other indicators.
• Breakout/Breakdown Trigger: Trade closes outside ATR bands to catch momentum expansions.
• Volatility-Aware Stops/Targets: Bands naturally reflect volatility, making them useful as adaptive reference levels.
• Multi-Timeframe Alignment: Confirm higher-timeframe regime before executing on lower timeframes.
🎯 For Who
• Trend Traders who want clean regime shifts without constant whipsaw.
• Breakout Traders who prefer confirmation via ATR expansion rather than raw MA crossovers.
• System Builders needing a simple, robust “state engine” (Long / Short / Neutral) to plug into larger strategies.
• Analysts who want quick on-chart validation with a backtest table.
⚙️ Default Settings
• SMMA Length (Base Smooth Leg): 24
• TEMA Length (Base Responsive Leg): 8
• EMA Extra Smoothing: 14
• ATR Length: 14
• ATR Multiplier: 1.1
• Color Mode: Alpha
• Color Transparency: 30
• Backtest Table: On (toggleable)
• Backtest Start Date: 09 Oct 2017
• Labels: Off by default
📌 Conclusion
TwinSmooth ATR Bands | QuantEdgeB merges a dual-speed smoothing core into a single trend baseline, then wraps it with ATR-based bands to deliver clean, volatility-adjusted breakout signals. With regime coloring, active-band plotting, and optional backtest stats, it’s a compact, readable tool for spotting momentum shifts and trend continuation across any market and timeframe.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Market Acceptance Zones [Interakktive]Market Acceptance Zones (MAZ) identifies statistical price acceptance — areas where the market reaches agreement and price rotates rather than trends.
Unlike traditional support/resistance tools, MAZ does not assume where price "should" react. Instead, it highlights regions where multiple internal conditions confirm balance: directional efficiency drops, effort approximately equals result, volatility contracts, and participation remains stable.
This is a market-state diagnostic tool, not a signal generator.
█ WHAT THE ZONES REPRESENT
MAZ (ATF) — Chart Timeframe Acceptance
A MAZ marks an area where price displayed rotational behaviour and the auction temporarily agreed on value. These zones often act as compression regions, fair-price areas, or boundaries of consolidation where impulsive follow-through is less likely.
Use ATF MAZs to:
- Identify rotational environments
- Avoid chasing price inside balance
- Frame consolidation prior to expansion
MAZ • HTF / MAZ • 2/3 — Multi-Timeframe Acceptance (AMTF)
When Multi-Timeframe mode is enabled, MAZ evaluates acceptance on:
- The chart timeframe
- Two higher structural timeframes
If the minimum consensus threshold is met (default: 2 of 3), the zone is classified as AMTF. These zones represent stronger agreement and typically decay more slowly than single-timeframe acceptance.
AMTF zones are structurally stronger and are useful for:
- Higher-quality rotation areas
- Pullback framing within trends
- Context alignment across timeframes
H • MAZ — Historic Acceptance Zones
Historic MAZs represent older acceptance that has transitioned out of active relevance. These zones are hidden by default and can be enabled to provide long-term memory context.
█ AUTO MULTI-TIMEFRAME LOGIC
When MTF Mode is set to Auto, MAZ uses a deterministic structural mapping based on the current chart timeframe:
- 5m → 15m + 1H
- 15m → 1H + 4H
- 1H → 4H + 1D
- 4H → 1D + 1W
- 1D → 1W + 1M
This ensures consistent higher-timeframe context without manual configuration. Advanced users may switch to Manual mode to define custom timeframes.
█ ZONE LIFECYCLE
MAZ zones are dynamic and maintain an internal lifecycle:
- Active — Acceptance remains relevant
- Aging — Acceptance quality is degrading
- Historic — Retained only for memory context
Zones track price interaction and re-acceptance, which can stabilise or strengthen them. Weak or stale zones are automatically removed to keep the chart clean.
█ HOW TRADERS USE MAZ
MAZ is designed to provide structure, not entries.
Common applications include:
- Avoiding chop when price is inside acceptance
- Framing expansion after clean breaks from MAZ
- Identifying higher-quality rotational pullbacks (AMTF zones)
- Defining objective invalidation using zone boundaries
█ SETTINGS OVERVIEW
Market Acceptance Zones — Core
- Acceptance Lookback
- ATR Length
- Zone Frequency (Conservative / Balanced / Aggressive)
Market Acceptance Zones — Zones
- Maximum Zones
- Fade & Stale Bars
- Historic Zone Visibility (default OFF)
Market Acceptance Zones — Timeframes
- MTF Mode (Off / Auto / Manual)
- Manual Higher Timeframes
- Minimum Consensus Requirement
Market Acceptance Zones — Visuals
- Neon / Muted Theme
- Zone Labels & Consensus Detail
- Optional Midline Display
█ DISCLAIMER
This indicator is a market context and diagnostic tool only.
It does not generate trade signals, entries, or exits.
Past acceptance behaviour does not guarantee future price action.
Always combine with independent analysis and proper risk management.
Inducement [Kodexius]Inducement is a market structure overlay indicator designed to help you contextualize liquidity driven pullbacks inside an established structural trend. Rather than treating every sweep or wick as equal, it frames “inducement” as a selective event that tends to appear after structure has shifted and price is engineering a retracement to attract late participants, clear nearby liquidity, and create fuel for continuation.
At a high level, the script separates price action into two layers:
External (macro) structure to define meaningful swing points and detect structural shifts (Break of Structure).
Internal (micro) structure to locate the more subtle swing levels that are commonly targeted during retracements.
Once a valid structural break establishes directional context, the indicator looks for a characteristic internal level raid that occurs without invalidating the broader structure (i.e., structure remains “protected”). When that raid is followed by evidence of intent/continuation (displacement style behavior), the event is marked as an inducement and plotted directly on the chart.
The result is a clean, rules based way to highlight high probability “pullback bait” zones helping you distinguish between random noise and a retracement that is more consistent with structured continuation behavior.
🔹 Features
🔸 Dual Layer Swing Engine (Internal vs External)
Internal and external swing detection work together to separate micro structure from macro structure. Internal swings capture nearer term pivot behavior, while external swings define the larger structural framework. Sensitivity can be tuned through swing length inputs, and historical depth can be managed to keep the chart clean and performance stable.
🔸 Break of Structure (BOS) Context Filter
BOS acts as a context gate that defines the active directional regime. Rather than generating signals in isolation, inducement evaluation is tied to structural context, enabling cleaner interpretation of “what matters now” versus what is simply historical noise.
🔸 Structure Protection (Invalidation Awareness)
A key differentiator is the emphasis on structure staying intact. Inducement candidates are only considered while the relevant macro framework remains protected. This helps filter out pullback like events that are actually part of a reversal or breakdown sequence, keeping attention aligned with continuation friendly conditions.
🔸 Inducement Detection With Optional Sweep Strictness
Inducements are derived from internal levels that form around post break retracement behavior levels that are commonly “targeted” during pullbacks. You can choose a stricter interpretation (e.g., close confirmation) for stronger validation, or a more permissive interpretation if you prefer to capture wick based raids while still requiring follow through behavior.
🔸 Intent / Displacement Confirmation (Volatility Aware)
To reduce false positives from shallow noise, the script incorporates a volatility aware confirmation layer. This helps ensure the marked event is not just a minor sweep, but is followed by behavior more consistent with directional commitment improving selectivity across different assets and market conditions.
🔸 Clean On Chart Visualization (BOS + IDM Levels)
The overlay is designed to be readable and practical: BOS levels are presented clearly, and inducements are marked with distinct level styling and labeling (bullish vs bearish). The visual output aims to support fast decision making without overwhelming the chart.
Bullish IDM:
Bearish IDM:
🔸 Chart Hygiene Controls (Limit Visible History)
You can limit how many historical inducements remain visible to prevent clutter especially helpful on lower timeframes or long sessions. This keeps focus on the most relevant, recent structural narrative.
🔸 Designed for Confluence Based Trading Workflows
This indicator is best used as a context + trigger assistant, not a standalone entry system. It integrates naturally with higher timeframe bias, session logic, supply/demand mapping, execution models, and risk planning providing structure aligned pullback references you can combine with your own confirmations.
ParetoCapital Volatility AlgorithmParetoCapital Volatility Algorithm — Strategy Description
This strategy is a volatility-driven breakout system designed to participate only in markets that exhibit sufficient price activity and structural clarity. All signals are evaluated on candle close to ensure stable, non-repainting behavior.
The strategy adapts its execution logic based on long-term market context while maintaining consistent risk exposure across changing volatility regimes.
Volatility Filter
Trades are taken only when current market volatility exceeds a defined baseline. This filter is intended to suppress signals during low-activity or range-bound conditions and to focus execution on periods where directional movement is more likely to persist.
Market Regime Assessment
A long-term reference is used to classify the prevailing market environment:
When price is positioned above the long-term reference, the market is treated as trend-favorable.
When price is below the reference, the market is treated as non-trend or transitional.
This classification determines how entries are structured but does not attempt to forecast direction.
Entry Logic
In trend-favorable conditions, the strategy seeks continuation trades in the direction of the prevailing trend. Entries are triggered only after price confirms strength through a breakout beyond recent levels.
In non-trend conditions, the strategy prepares for volatility expansion in either direction. Trades are initiated only when price breaks decisively beyond recent boundaries, allowing the market to determine direction.
All entries are confirmation-based and are not executed at market without prior price expansion.
Position Sizing and Risk Control
Position size is dynamically adjusted according to current market volatility. Risk per trade is kept proportional and consistent, while overall capital usage is constrained to prevent overexposure.
This approach allows the strategy to remain risk-controlled during both high- and low-volatility environments.
Exit Logic
Positions are exited when price action indicates a material loss of momentum relative to recent market structure. The exit logic is designed to tolerate minor counter-moves while responding decisively to structural weakness.
Key Characteristics
Candle-close confirmation
Non-repainting behavior
Volatility-adaptive execution
Regime-aware trade logic
Systematic risk management
Strategy Objective
The objective of this strategy is to capture a limited number of structurally strong price movements while minimizing exposure during non-productive market conditions. It prioritizes selectivity, confirmation, and risk discipline over trade frequency.
Usage Notes
The strategy is optimized for major cryptocurrencys, where volatility expansion and momentum continuation are more prevalent.
Best results have been observed on BTCUSD using the 15-minute and 30-minute timeframes.
Performance on other assets or timeframes may vary and should be evaluated through independent testing.
Simple VWMA Smooth | QuantEdgeBSimple VWMA Smooth (SVS) | QuantEdgeB
🔍 What Is Simple VWMA Smooth?
SVS is a smoothed, volume-aware trend filter that blends a Gaussian-pre-filtered, low-lag moving average with dynamic standard-deviation bands. It identifies trends by measuring when price moves decisively above or below a VWMA (Volume-Weighted Moving Average) baseline—filtering out noise while letting high-volume moves carry more influence than low-volume noise.
⚙️ Core Components
1) DEMA Pre-Filter
A double-EMA smoothing step to reduce initial noise before further processing.
2) Gaussian Smoothing
Applies a small-kernel Gaussian filter to produce a cleaner input series that suppresses rapid spikes.
3) VWMA Baseline (Volume-Weighted Average)
Computes a moving average where each bar is weighted by volume, so the baseline tracks “meaningful” price moves more than low-liquidity fluctuations.
• In high volume → the baseline reacts more to those candles
• In low volume → price changes have less impact
4) Volatility Bands
Surrounds the VWMA line with ± N × SD bands (separate multipliers for upper and lower) to capture current market volatility, creating dynamic thresholds for trend detection.
5) Trend Signal
• Long when price closes above the upper band
• Short when price closes below the lower band
• Otherwise neutral
💡 Why It’s Special
• Volume-Validated Responsiveness: VWMA prioritizes moves backed by volume, helping reduce signals caused by thin-market noise.
• Multi-Stage Filtering: The DEMA → Gaussian → VWMA sequence suppresses noise while keeping trend structure clear.
• Asymmetric Bands: Separate multipliers for upper/lower bands let you tune bullish vs bearish sensitivity independently.
• Visual Clarity: Color-coded candles and filled bands highlight trending phases at a glance, while backtest tables quantify performance.
📊 Backtest Mode
SVS includes an optional backtest table, enabling traders to assess historical effectiveness before using it live.
Backtest Metrics Displayed:
• Equity Max Drawdown
• Profit Factor
• Sharpe Ratio
• Sortino Ratio
• Omega Ratio
• Half Kelly
• Total Trades & Win Rate
💼 Ideal Use Cases
• Trend Identification: Spot cleaner trend starts/exits across stocks, FX, or crypto with reduced lag and fewer false breakouts.
• Volume Regimes: Helps distinguish “real” moves (high participation) from weak moves (low participation).
• Multitimeframe Alignment: Confirm direction across timeframes before entries.
• System Building Block: Use as a volume-aware filter inside broader strategies.
🎨 Default Configuration
• DEMA Length: 7
• Gaussian Kernel: length = 4, sigma = 2.0
• VWMA Length: 14
• Volatility Bands: SD length = 40
📌 In Summary
Simple VWMA Smooth | QuantEdgeB is a volume-weighted, noise-suppressed trend filter that combines DEMA smoothing, Gaussian filtering, a VWMA baseline, and dynamic SD bands to separate genuine directional moves from market noise—across any asset or timeframe.
🔹 Disclaimer : Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice : Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Dragon Flow Arrows (LITE)🚀 DRAGON FLOW ARROWS | Smart Trend Engine + Clean Reversal Arrows
A lightweight but highly-optimized trend system designed for clean charts, powerful visual signals, and no-noise directional flow. Built for traders who want simplicity, clarity, and professional-level momentum-filtered signals without over-complication.
🔥 Dragon Channel (Clean 3-Line Ribbon)
A smooth adaptive channel formed from ATR + EMA, giving you structural trend zones without clutter.
✅ Dragon Flow Gradient
A horizontal, color-shifted flow:
🟢 Bull flow → green glow
🔴 Bear flow → red glow
Automatic blend based on trend direction
Smooth visual transitions (no vertical stripes)
✅ Momentum-Filtered Arrows
BUY/SELL arrows only print when:
Price breaks outside the Dragon Channel
Momentum confirms (RSI + MACD filters)
Trend flips → one clean arrow per direction
✅ Smart Header Panel
At the top of your chart:
📌 Trend: Uptrend / Downtrend / Neutral
⚡ Impulse Strength: Weak / Normal / Strong
📊 How to Use
Entry:
- BUY Setup
Price moving above baseline
Dragon Flow turns bullish (cyan side)
Arrow appears below channel
- SELL Setup
Price breaks below baseline
Dragon Flow turns bearish (magenta side)
Arrow pops above channel
Exit / Filter:
Opposite arrow
Flow color shift
Trend panel flips
Works on Forex, Crypto, Stocks, Indices — all timeframes (just adjust the channel length).
Happy trading!
DDDDD : EMA Pack (Matched Colors + MTF)📌 DDDDD : EMA Pack (Matched Colors + MTF)
🔹 Concept
DDDDD : EMA Pack is a clean and minimal Exponential Moving Average (EMA) overlay designed for trend structure analysis and multi-timeframe context.
This indicator focuses on visual clarity, consistent color mapping, and optional MTF EMA projection, allowing traders to read market structure without clutter or signal noise.
It is not an entry or signal generator, but a trend and regime visualization tool.
🔹 Logic
The script plots a fixed set of EMAs commonly used to define short-term momentum, intermediate trend, and long-term bias:
EMA 5
EMA 10
EMA 25
EMA 50
EMA 75
EMA 200
Each EMA is calculated using the standard exponential moving average formula.
If a higher timeframe is selected, the EMA is calculated on that timeframe and projected onto the current chart using request.security().
🔹 Methodology
Users may select:
Source price (default: close)
EMA timeframe
Empty = current chart timeframe
Any higher timeframe = true MTF EMA projection
All EMA colors are manually matched and fixed to maintain visual consistency across markets and timeframes.
Line thickness is kept uniform to avoid visual hierarchy bias.
This design ensures the indicator remains purely structural, without repainting logic, smoothing tricks, or adaptive parameters.
🔹 How to Use
Use EMA alignment and spacing to assess:
Trend direction
Trend strength
Compression vs expansion
Higher-timeframe EMA projection can be used as:
Dynamic support/resistance
Trend filter
Regime context for lower-timeframe execution
This indicator works best when combined with:
Price action
Market structure
Separate entry/exit logic of your own system
⚠️ This indicator does not provide buy/sell signals and should not be used alone for trade execution.
🔹 Notes
No repainting beyond standard MTF behavior
No performance or profitability claims
Designed for discretionary and systematic traders
Suitable for stocks, crypto, forex, and indices
RSI Dashboard Multi-TF This script displays RSI values from multiple timeframes in a compact dashboard directly on the chart.
It is designed for traders who want to quickly identify whether the market is overbought, oversold, or neutral across different timeframes, without constantly switching chart intervals.
The dashboard shows the RSI simultaneously for the following timeframes:
- 1 minute
- 3 minutes
- 5 minutes
- 15 minutes
- 1 hour
- 4 hours
- Daily
Typical use cases:
- Scalping & intraday trading
- Multi-timeframe analysis at a glance
- Entry confirmation (e.g. pullbacks, breakouts)
- Avoiding trades against overbought or oversold market conditions
- Complementing EMA, VWAP, or price action strategies
⚙️ Notes
This dashboard is an analysis tool, not an automated trading system.
No repainting (uses request.security).
Suitable for indices, forex, crypto, and commodities.
This RSI dashboard provides a fast, clear, and visually clean market overview across multiple timeframes, making it an ideal tool for active traders who want to make efficient and well-structured trading decisions.
StratyPro Signal + ExitStratyPro Signal + Exit — Description
StratyPro is an intraday market-flow framework built around liquidity behavior, session timing and structural shifts. Instead of combining public indicators, StratyPro uses its own unified engine that monitors:
• Accumulation ranges formed during the early session
• Liquidity events when price reaches key levels and rejects
• Structural shifts based on pivot swings
• Momentum confirmation after structural breaks
• Higher-timeframe inefficiency zones (price speed / imbalance areas)
• Session-specific conditions for Core Session and Expansion Session
The objective is to provide a logical roadmap of how price transitions from accumulation → manipulation → expansion during the trading day.
--------------------------------------------------------------------
1. Session Framework
StratyPro operates using three phases:
1. Asia Accumulation Phase
- Builds the core accumulation range
- Builds an extended reference range used later by the Expansion Session
2. Pre-Core Phase
- Tracks a local intraday range before the main session
- Detects liquidity taps or sweeps of this range
3. Core Session (London)
- Primary signal window where the engine evaluates directional intent
4. Expansion Session (New York)
- Secondary session logic for continuation or reversal during the afternoon
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2. Liquidity Events and Key Levels
StartyPro identifies multiple types of liquidity behavior:
• Sweeps of the Asia accumulation range
• Sweeps of the extended reference range
• Sweeps of the pre-session intraday range
• Equal-high and equal-low clusters that attract price and later reject
A liquidity event is confirmed when price trades beyond a key level and then returns back into the range.
Users can decide whether:
• Liquidity events are required for signals
• Only the side where liquidity was taken should be traded
• Both sides can be considered
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3. Structural Shifts and Momentum Confirmation
The engine monitors local structure using pivot-based swing points. A directional shift occurs when price closes beyond a previous swing level.
This shift is validated only if accompanied by a momentum candle (a body significantly larger than recent average).
The user can select aggressive, standard, or defensive confirmation modes.
These momentum-based signals are independent from zone-based signals.
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4. Inefficiency / Imbalance Zones (Higher Timeframe Mapping)
StratyPro maps areas where price moved too quickly (inefficiency zones) on a higher timeframe.
These zones:
• Are detected using multiple gap-based models
• Have a maximum lifetime
• Are invalidated if price fully trades through
• Are visualized with dynamic boxes extended forward
Optional signal conditions allow:
• Tap + rejection within an active zone
• Session window confirmation
• Liquidity-based directional filters
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5. Equilibrium
StratyPro calculates an equilibrium level for each session based on the midpoint of either:
• The Asia accumulation range, or
• The most recent structural swing range
Users can restrict signals so that:
• Shorts only trigger above equilibrium
• Longs only trigger below equilibrium
This helps avoid entries in the inefficient half of the range.
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6. Signal Types
There are two main signal types inside each session:
1. Zone-Based Signals
- Price interacts with an active inefficiency zone
- Liquidity event is confirmed
- Price rejects the zone
- Session window is active
2. Momentum-Based Signals
- A structural shift is confirmed
- A momentum candle supports the move
- Liquidity/equilibrium conditions are met
- Session window is active
Long and short signals are plotted clearly on the chart with directional labels.
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7. Alerts
SP includes alerts for:
• Zone-based long/short signals
• Momentum-based long/short signals
• Core Session events
• Expansion Session events
Each alert matches the exact visual signal on chart.
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Recommended workflow:
1. Observe how the Asia range forms initial liquidity.
2. Watch for liquidity grabs before the main session.
3. Use inefficiency zones as primary interest areas.
4. Use session timing as the main filter.
5. Apply your own risk management alongside the signals.
Stratypro is a structural mapping tool intended for experienced traders. It does not constitute financial advice.
Stage Analysis & MinerviniScript with Stage Analysis and Minervini set data set ups
Candle stick colors:
Lime - Green candle with volume > 50day moving avg vol - Bullish
Yellow - Red or green candle with wick with volume > 50day moving avg vol - Bearish
Black - indecisive candle with volume
Table has the moving averages, ATR, ADR, minervini set ups.
Swing highs and swing lows are printed to identify the latest stop loss markers for swing traders who follow Stan Weinstein stage analysis method of stop loss management
Volume labels and markers are present in the candle if applicable.
SMC Post-Analysis Lab [PhenLabs]📊 SMC Post-Analysis Lab
Version: PineScript™ v6
📌 Description
The SMC Post-Analysis Lab is a dedicated hindsight analysis tool built for traders who want to understand what really happened during any historical trading period. Unlike forward-looking indicators, this tool lets you scroll back through time and instantly receive algorithmic classification of market states using Smart Money Concepts methodology.
Whether you’re reviewing a losing trade, studying a successful session, or building your pattern recognition skills, this indicator provides immediate context. The expansion-aware algorithm processes price action within your selected window and outputs clear, actionable classifications ranging from Parabolic Expansion to Consolidation Inducements.
Stop relying on subjective post-trade analysis. Let the algorithm objectively tell you whether institutional players were accumulating, distributing, or running inducements during your trades.
🚀 Points of Innovation
First indicator specifically designed for SMC-based post-trade review rather than live signal generation
Dual-mode analysis system allowing both dynamic scrollback and precise date selection
Expansion-aware classification algorithm that weighs range position against net displacement
Real-time efficiency metrics calculating directional quality of price movement
Integrated visual FVG detection within the analysis window only
Interactive table with clickable date range adjustment via chart interface
🔧 Core Components
Pivot Detection Engine: Uses configurable pivot length to identify significant swing highs and lows for structure break detection
Window Calculator: Determines active analysis zone based on either bar offset or timestamp boundaries
Data Aggregator: Tracks window open, high, low, close and counts bullish/bearish structure break events
State Classification Algorithm: Applies hierarchical logic to determine market state from six possible classifications
Visual Renderer: Draws structure breaks, FVG boxes, and window highlighting within the active zone
🔥 Key Features
Sliding Window Mode: Use the Scroll Back slider to dynamically move your analysis zone backwards through history bar-by-bar
Date Range Mode: Select specific start and end timestamps for precise session or trade review
Six Market State Classifications: Parabolic Expansion (Bull/Bear), Bullish/Bearish Order Flow, Accumulation/Distribution Reversal, and Consolidation/Inducement
Range Position Percentile: See exactly where price closed relative to the window’s high-low range as a percentage
Bull/Bear Event Counter: Quantified count of structure breaks in each direction during the analysis period
Efficiency Calculation: Net move divided by total range reveals trending quality versus chop
🎨 Visualization
Blue Window Highlight: Active analysis zone is clearly marked with blue background shading on the chart
Structure Break Lines: Dashed lines appear at each bullish or bearish structure break within the window
FVG Boxes: Fair Value Gaps automatically render as semi-transparent boxes in bullish or bearish colors
Dashboard Table: Top-right positioned table displays State, Analysis description, and Metrics in real-time
Color-Coded States: Each classification uses distinct coloring for immediate visual recognition
Interactive Tip Row: Optional help text guides users on clicking the table to adjust date range
📖 Usage Guidelines
General Configuration
Analysis Mode: Default is Sliding Window. Choose Date Range for specific timestamp analysis.
Sliding Window Settings
Scroll Back (Bars): Default 0. Increase to move window backwards into history.
Window Width (Bars): Default 100. Range 20-50 for scalping, 100+ for swing analysis.
Date Range Settings
Start Date: Select the beginning timestamp for your analysis period.
End Date: Select the ending timestamp for your analysis period.
Visual Settings
Show Help Tip: Default true. Toggle to hide instructional row in dashboard.
Bullish Color: Default teal. Customize for bullish elements.
Bearish Color: Default red. Customize for bearish elements.
SMC Parameters
Pivot Length: Default 5. Lower values (3-5) catch minor breaks. Higher values (10+) focus on major swings.
✅ Best Use Cases
Post-trade review to understand why entries succeeded or failed
Session analysis to identify institutional activity patterns
Trade journaling with objective algorithmic classifications
Pattern recognition training through historical scrollback
Identifying whether stop hunts were inducements or legitimate breaks
Comparing your real-time read versus what the algorithm detected
⚠️ Limitations
Designed for historical analysis only, not live trade signals
Classification accuracy depends on appropriate pivot length for the timeframe
FVG detection uses simple gap logic without mitigation tracking
State classification is based on window data only, not broader context
Requires manual scrolling or date input to review different periods
💡 What Makes This Unique
Purpose-Built for Review: Unlike most indicators focused on live signals, this is designed specifically for post-trade analysis
Expansion-Aware Logic: Algorithm weighs both position in range AND directional efficiency for accurate state detection
Interactive Date Control: Click the dashboard table to reveal draggable anchors for window adjustment directly on chart
🔬 How It Works
1. Window Definition:
User selects either Sliding Window or Date Range mode
System calculates which bars fall within the active analysis zone
Active zone receives blue background highlighting
2. Data Collection:
Algorithm captures window open, running high, running low, and current close
Structure breaks are detected when price crosses above last pivot high or below last pivot low
Bullish and bearish events are counted separately
3. State Classification:
Range Position calculates where close sits as percentage of high-low range
Efficiency calculates net move divided by total range
Hierarchical logic applies priority rules from Parabolic states down to Consolidation
4. Output Rendering:
Dashboard table updates with State title, Analysis description, and Metrics
Visual elements render within window only to keep chart clean
Colors reflect bullish, bearish, or neutral classification
💡 Note:
This indicator is intended for educational and review purposes. Use it to develop your understanding of Smart Money Concepts by analyzing what institutional order flow looked like during historical periods. Combine insights with your own analysis methodology for best results.
Advanced Multi-Level S/R ZonesAdvanced Multi-Level S/R Zones: The Comprehensive Guide
1. Introduction: The Evolution of Support & Resistance:
Support and Resistance (S/R) is the backbone of technical analysis. However, traditional methods of drawing these levels are often plagued by subjectivity. Two traders looking at the same chart will often draw two different lines. Furthermore, standard indicators often treat every price point equally, ignoring the critical context of Volume and Time.
The Advanced Multi-Level S/R Zones script represents a paradigm shift. It moves away from subjective line drawing and toward Quantitative Zoning. By utilizing statistical measures of variability (Standard Deviation, MAD, IQR) combined with Volume-Weighting and Time-Decay algorithms, this tool identifies where price is mathematically most likely to react. It treats S/R not as thin lines, but as dynamic zones of probability.
2. Core Logic and Mathematical Foundation:
To understand how to use this tool optimally, one must understand the "engine" under the hood. The script operates on four distinct pillars of logic:
A. Session-Based Data Collection:
The script does not look at every single tick. Instead, it aggregates data into "Sessions" (daily bars by default logic). It extracts the High, Low, and Total Volume for every session within the user-defined lookback period. This filters out intraday noise and focuses on the macro structure of the market.
B. Adaptive Statistical Variability:
Most Bollinger Band-style indicators use Standard Deviation (StdDev) to measure width. However, StdDev is heavily influenced by outliers (extreme wicks). This script offers a sophisticated Adaptive Method-Skewness Detection: The script calculates the skewness of the price distribution. Adaptive Selection: If the data is highly skewed (lots of outliers, typical in Crypto), it switches to MAD (Median Absolute Deviation). MAD is robust and ignores outliers. If the data is moderately skewed, it uses IQR (Interquartile Range). If the data is normal (Gaussian), it uses StdDev.
Benefit: This ensures the zone widths are accurate regardless of whether you are trading a stable Forex pair or a volatile Altcoin.
C. The Weighting Engine (Volume + Time)
Not all price history is equal. This script assigns a "Weight Score" to every session based on two factors:
Volume Weighting: Sessions with massive volume (institutional activity) are given higher importance. A high formed on low volume is less significant than a high formed on peak volume.
Time Decay: Recent price action is more relevant than price action from 50 bars ago. The script applies a decay factor (default 0.85). This means a session from yesterday has 100% impact, while a session from 10 days ago has significantly less influence on the zone calculation.
D. Clustering Algorithm
Once the data is weighted, the script runs a clustering algorithm. It looks for price levels where multiple session Highs (for Resistance) or Lows (for Support) congregate.
It requires a minimum number of points to form a zone (User Input: minPoints).
It merges nearby levels based on the Cluster Separation Factor.
This results in "Primary," "Secondary," and "Tertiary" zones based on the strength and quantity of data points in that cluster.
3. Detailed Features and Inputs Breakdown:
Group 1: Main Settings
Lookback Sessions (Default: 10): Defines how far back the script looks for pivots. A higher number (e.g., 50) creates long-term structural zones. A lower number (e.g., 5) creates short-term scalping zones.
Variability Method (Adaptive): As described above, leave this on "Adaptive" for the best results across different assets.
Zone Width Multiplier (Default: 0.75): Controls the vertical thickness of the zones. Increase this to 1.0 or 1.5 for highly volatile assets to ensure you catch the wicks.
Minimum Points per Zone: The strictness filter. If set to 3, a price level must be hit 3 times within the lookback to generate a zone. Higher numbers = fewer, but stronger zones.
Group 2: Weighting
Volume-Weighted Zones: Crucial for identifying "Smart Money" levels. Keep this TRUE.
Time Decay: Ensures the zones update dynamically. If price moves away from a level for a long time, the zone will fade in significance.
ATR-Normalized Zone Width: This is a dynamic volatility filter. If TRUE, the zone width expands and contracts based on the Average True Range. This is vital for maintaining accuracy during market breakouts or crashes.
Group 3: Zone Strength & Scoring
The script calculates a "Score" (0-100%) for every zone based on:
-Point Count: More hits = higher score.
-Touches: How many times price wicked into the zone recently.
-Intact Status: Has the zone been broken?
-Weight: Volume/Time weight of the constituent points.
-Track Zone Touches: Looks back n bars to see how often price respected this level.
-Touch Threshold: The sensitivity for counting a "touch."
Group 4: Visuals & Display
Extend Bars: How far to the right the boxes are drawn.
Show Labels: Displays the Score, Tier (Primary/Secondary), and Status (Retesting).
Detect Pivot Zones (Overlap): This is a killer feature. It detects where a Support Zone overlaps with a Resistance Zone.
Significance: These are "Flip Zones" (Old Resistance becomes New Support). They are colored differently (Orange by default) and represent high-probability entry areas.
Group 5: Signals & Alerts
Entry Signals: Plots Buy/Sell labels when price rejects a zone.
Detect Break & Retest: specifically looks for the "Break -> Pullback -> Bounce" pattern, labeled as "RETEST BUY/SELL".
Proximity Alert: Triggers when price gets within x% of a zone.
4. Understanding the Visuals (Interpreting the Chart)
When you load the script, you will see several visual elements. Here is how to read them:
The Boxes (Zones)
Red Shades: Resistance Zones.
Dark Red (Solid Border): Primary Resistance. The strongest wall.
Lighter Red (Dashed Border): Secondary/Tertiary. Weaker, but still relevant.
Green Shades: Support Zones.
Dark Green (Solid Border): Primary Support. The strongest floor.
Orange Boxes: Pivot Zones. These are areas where price has historically reacted as both support and resistance. These are the "Line in the Sand" for trend direction.
The Labels & Emojis
The script assigns emojis to zone strength:
🔥 (Fire): Score > 80%. A massive level. Expect a strong reaction.
⭐ (Star): Score > 60%. A solid structural level.
✓ (Check): Score > 40%. A standard level.
"⟳ RETESTING": Appears when a zone was broken, and price is currently pulling back to test it from the other side.
The Dashboard (Top Right)
A statistics table provides a "Head-Up Display" for the asset:
High/Low σ (Sigma): The variability of the highs and lows. If High σ is much larger than Low σ, it implies the tops are erratic (wicks) while bottoms are clean (flat).
Method: Shows which statistical method the Adaptive engine selected (e.g., "MAD (auto)").
ATR: Current volatility value used for normalization.
5. Strategies for Optimum Output
To get the most out of this script, you should not just blindly follow the lines. Use these specific strategies:
Strategy A: The "Zone Fade" (Range Trading)
This works best in sideways markets.
Identify a Primary Support (Green) and Primary Resistance (Red).
Wait for price to enter the zone.
Look for the "SUPPORT BOUNCE" or "RESISTANCE REJECTION" signal label.
Entry: Enter against the zone (Buy at support, Sell at resistance).
Stop Loss: Place just outside the zone width. Because the zones are calculated using volatility stats, a break of the zone usually means the trade is invalid.
Strategy B: The "Pivot Flip" (Trend Following)
This is the highest probability setup in trending markets.
Look for an Orange Pivot Zone.
Wait for price to break through a Resistance Zone cleanly.
Wait for the price to return to that zone (which may now turn Orange or act as Support).
Look for the "RETEST BUY" label.
Logic: Old resistance becoming new support is a classic sign of trend continuation. The script automates the detection of this exact geometric phenomenon.
Strategy C: The Volatility Squeeze
Look at the Dashboard. Compare High σ and Low σ.
If the values are dropping rapidly or becoming very small, the zones will contract (become narrow).
Narrow zones indicate a "Squeeze" or compression in price.
Prepare for a violent breakout. Do not fade (trade against) narrow zones; look to trade the breakout.
6. Optimization & Customization Guide
Different markets require different settings. Here is how to tune the script:
For Crypto & Volatile Stocks (Tesla, Nvidia)
Method: Set to Adaptive (Mandatory, as these assets have "Fat Tails").
Multiplier: Increase to 1.0 - 1.25. Crypto wicks are deep; you need wider zones to avoid getting stopped out prematurely.
Lookback: 20-30 sessions. Crypto has a long memory; short lookbacks generate too much noise.
For Forex (EURUSD, GBPJPY)
Method: You can force StdDev or IQR. Forex is more mean-reverting and Gaussian.
Multiplier: Decrease to 0.5 - 0.75. Forex levels are often very precise to the pip.
Volume Weighting: You may turn this OFF for Forex if your broker's volume data is unreliable (since Forex has no centralized volume), though tick volume often works fine.
For Scalping (1m - 15m Timeframes)
Lookback: Decrease to 5-10. You only care about the immediate session history.
Decay Factor: Decrease to 0.5. You want the script to forget about yesterday's price action very quickly.
Touch Lookback: Decrease to 20 bars.
For Swing Trading (4H - Daily Timeframes)
Lookback: Increase to 50.
Decay Factor: Increase to 0.95. Structural levels from weeks ago are still highly relevant.
Min Points: Increase to 3 or 4. Only show levels that have been tested multiple times.
7. Advantages Over Standard Tools:
Feature Standard S/R Indicator, Advanced Multi-Level S/R Calculation, Uses simple Pivots or Fractals, Uses Statistical Distributions (MAD/IQR). Zone Width Arbitrary or Fixed Adaptive based on Volatility & ATR.
Context Ignores Volume Volume Weighted (Smart Money tracking).
Time Relevance Old levels = New levels Time Decay (Recency bias applied).
Overlaps Usually ignores overlaps Detects Pivot Zones (Res/Sup Flip).
Scoring None 0-100% Strength Score per zone.
8. Conclusion:
The Advanced Multi-Level S/R Zones script is not just a drawing tool; it is a statistical analysis engine. By accounting for the skewness of data, the volume behind the moves, and the decay of time, it provides a strictly objective roadmap of the market structure.
For the optimum output, combine the Pivot Zone identification with the Retest Signals. This aligns you with the underlying flow of order blocks and prevents trading against the statistical probabilities of the market.
ZeroDegen Mega Pro Pack v2═══════════════════════════════════════════════════════════════════════════════
ZERODEGEN MEGA PRO PACK v2 — Multi-Mode Trading System
═══════════════════════════════════════════════════════════════════════════════
Professional trading indicator with 11 modes for crypto markets. Clear BUY/SELL signals, real-time market analysis, and institutional-grade filters.
🎯 WHAT IT DOES
Analyzes price action using multi-factor confirmation:
- EMA crossovers (9/21) for trend direction
- RSI momentum filtering
- ADX trend strength validation
- Volume confirmation
- Higher timeframe bias (1H trend filter)
- Institutional concepts: Liquidity sweeps, Fair Value Gaps
Generates clear BUY and SELL signals directly on your chart with a real-time status panel showing all market conditions at a glance.
📊 11 TRADING MODES
SCALP (15m): Standard, Aggressive, Conservative
TREND (1H-4H): Standard, Cloud, Institutional
INSTITUTIONAL: Liquidity Engine
MIXED: Pro, Reversal, Auto Engine, Automation + Confidence
Switch modes with one click to match market conditions.
⚡ KEY FEATURES
✓ Clear visual BUY/SELL/EXIT signals
✓ Real-time status panel with all indicators
✓ Smart filters (Volume, ADX, ATR, Range)
✓ HTF Bias display (1H trend direction)
✓ Institutional Confidence score
✓ Works on any crypto pair
✓ TradingView alert-ready
📈 RECOMMENDED USAGE
Timeframes: 15m (scalp), 1H (swing), 4H (trend)
Markets: BTC, ETH, SOL, and other liquid crypto pairs
🔐 HOW TO GET ACCESS
Visit: xeroc00l.org
- Monthly: $59/mo
- Quarterly: $149 (save 15%)
- Lifetime: $497 (one-time)
After payment, send your TradingView username to zerocool@xeroc00l.org — access granted within 24 hours.
🚀 COMING SOON
We're actively developing additional features including bot integration, automated execution, and a private trading community. Subscribe now and get access to all future updates.
Learn more: xeroc00l.org
⚠️ LEGAL DISCLAIMER
This indicator is provided for educational and entertainment purposes only. It is not financial advice and should not be construed as a recommendation to buy, sell, or hold any cryptocurrency or financial instrument.
Trading cryptocurrencies and leveraged products involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. You should not trade with money you cannot afford to lose.
The creators of ZeroDegen are not licensed financial advisors, brokers, or dealers. By using this indicator, you acknowledge that all trading decisions are your own responsibility and you agree that ZeroDegen and its creators are not liable for any losses incurred.
Always do your own research and consider consulting a licensed financial professional before making investment decisions.
© 2025 ZeroDegen | For entertainment purposes only
Impulsive Trend Detector [dtAlgo]This advanced Pine Script indicator identifies and tracks impulsive price movements based on Break of Structure (BOS) and Change of Character (CHoCH) concepts from Smart Money trading methodology.
The indicator automatically detects pivot highs and lows, then monitors when price breaks these key levels to signal potential impulsive moves. BOS indicates continuation in the current trend direction, while CHoCH signals potential trend reversals. Each detected move is measured from the break point to the next opposing pivot, providing accurate percentage calculations that match TradingView's measuring tool.
Impulsive moves are categorized into four levels based on magnitude (Level 1: 5-10%, Level 2: 10-15%, Level 3: 15-20%, Level 4: 20%+), with color-coded visual labels and connecting lines displayed directly on the chart.
Comprehensive Session Analysis:
Track moves across 11 distinct trading sessions in Eastern Time: Pre-London/NY, London/NY overlap, NY (with Power Hour and End subdivisions), Sydney, Asia, Sake Time, Asia/London overlap, London, Weekend, and No Session periods.
Three Dynamic Tables provide:
Real-time statistics (bullish/bearish, BOS/CHoCH, levels)
Session breakdown with move counts and average percentages
Event log showing last 10 moves with date, day, session, direction, type, level, percentage, duration, and bar count
Perfect for Smart Money traders seeking data-driven insights into market structure behavior across global trading sessions.
Trend Targets [Philosopher] Pro Alerts & Live DashTrend Targets Pro: Advanced Trend Analysis & Live Risk Management
Trend Targets Pro is a comprehensive trend-following ecosystem designed for traders who demand precision, automated risk management, and real-time performance tracking. By merging multi-layered trend filtering with dynamic volatility-based targets, this tool transforms complex price action into a clear, actionable roadmap.
Core Methodology
The script utilizes a unique "Dual-Filter" logic to identify high-probability trend shifts:
The Baseline: A sophisticated combination of Supertrend logic smoothed by WMA (Weighted Moving Average) and EMA (Exponential Moving Average). This creates a "Trend Baseline" that filters out market noise and identifies the true directional bias.
Confirmation Rejections: The script tracks price "rejections" against the baseline. Only after a user-defined confirmation count is met does the script signal a continuation, ensuring you aren't entering on minor fluctuations.
Key Features
🚀 Automated Trade Architecture: Upon a trend shift (Bullish/Bearish), the script instantly calculates and draws an Entry Line, an ATR-based Stop Loss, and three tiered Take Profit levels (TP1, TP2, TP3).
📊 Live Performance Dashboard: Track your current session in real-time. The on-chart HUD displays Total Trades, Profitable Trades, and Lost Trades, giving you immediate feedback on the current market's compatibility with the strategy.
🎯 Dynamic Visual Feedback:
Trend-Colored Bars: The entire chart atmosphere adapts to the trend.
Live Labels: Targets dynamically update and change color (Green/Red) when hit, providing "at-a-glance" trade management.
Rejection Signals: Visual triangle markers (▲/▼) indicate potential continuation points within an existing trend.
🔔 Institutional-Grade Alert System:
Entry Alerts: Includes Entry, SL, and all 3 TP prices.
Execution Alerts: Instant notifications when any TP or SL is triggered.
Weekly Reports: Automatically generates a performance summary every Saturday to help you review your weekly net points.
Asset-Specific UI: Built-in emoji support for Gold (XAU), BTC, Forex, and Indices for better readability in Telegram/Discord webhooks.
Risk Management at its Core
The script is built for professional risk-to-reward ratios. By using ATR (Average True Range) for target calculation, the "Philosopher" edition ensures your stops and targets are mathematically proportional to the current market volatility.
Risk Warning included in alerts: "Trading involves high risk. Secure your trade at TP1 and maintain strict risk management."
How to Use
Trend Detection: Wait for a color change in the Baseline or a Plotshape label.
Execution: Use the calculated TP/SL levels provided by the dynamic labels.
Optimization: Adjust the "Supertrend Factor" for higher timeframes and the "Confirmation Count" to filter out choppy markets.
Technical Specifications:
Version: Pine Script™ v6 (Latest)
Overlay: Enabled
Alerts: Fully dynamic (supports placeholders)
Disclaimer
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always trade within your risk limits.
Trend Targets [Philosopher] Pro Alerts & Live DashTrend Targets Pro: Advanced Trend Analysis & Live Risk Management
Trend Targets Pro is a comprehensive trend-following ecosystem designed for traders who demand precision, automated risk management, and real-time performance tracking. By merging multi-layered trend filtering with dynamic volatility-based targets, this tool transforms complex price action into a clear, actionable roadmap.
Core Methodology
The script utilizes a unique "Dual-Filter" logic to identify high-probability trend shifts:
The Baseline: A sophisticated combination of Supertrend logic smoothed by WMA (Weighted Moving Average) and EMA (Exponential Moving Average). This creates a "Trend Baseline" that filters out market noise and identifies the true directional bias.
Confirmation Rejections: The script tracks price "rejections" against the baseline. Only after a user-defined confirmation count is met does the script signal a continuation, ensuring you aren't entering on minor fluctuations.
Key Features
🚀 Automated Trade Architecture: Upon a trend shift (Bullish/Bearish), the script instantly calculates and draws an Entry Line, an ATR-based Stop Loss, and three tiered Take Profit levels (TP1, TP2, TP3).
📊 Live Performance Dashboard: Track your current session in real-time. The on-chart HUD displays Total Trades, Profitable Trades, and Lost Trades, giving you immediate feedback on the current market's compatibility with the strategy.
🎯 Dynamic Visual Feedback:
Trend-Colored Bars: The entire chart atmosphere adapts to the trend.
Live Labels: Targets dynamically update and change color (Green/Red) when hit, providing "at-a-glance" trade management.
Rejection Signals: Visual triangle markers (▲/▼) indicate potential continuation points within an existing trend.
🔔 Institutional-Grade Alert System:
Entry Alerts: Includes Entry, SL, and all 3 TP prices.
Execution Alerts: Instant notifications when any TP or SL is triggered.
Weekly Reports: Automatically generates a performance summary every Saturday to help you review your weekly net points.
Asset-Specific UI: Built-in emoji support for Gold (XAU), BTC, Forex, and Indices for better readability in Telegram/Discord webhooks.
Risk Management at its Core
The script is built for professional risk-to-reward ratios. By using ATR (Average True Range) for target calculation, the "Philosopher" edition ensures your stops and targets are mathematically proportional to the current market volatility.
Risk Warning included in alerts: "Trading involves high risk. Secure your trade at TP1 and maintain strict risk management."
How to Use
Trend Detection: Wait for a color change in the Baseline or a Plotshape label.
Execution: Use the calculated TP/SL levels provided by the dynamic labels.
Optimization: Adjust the "Supertrend Factor" for higher timeframes and the "Confirmation Count" to filter out choppy markets.
Technical Specifications:
Version: Pine Script™ v6 (Latest)
Overlay: Enabled
Alerts: Fully dynamic (supports placeholders)
Disclaimer
This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always trade within your risk limits.
Delta Pressure SpectrumWhat this indicator is (brief)
Delta Pressure Spectrum (DPS-3) is a volume-pressure oscillator that estimates buy vs sell imbalance (a delta proxy), then normalizes it into a robust z-score so “significant” pressure means the same thing across different volatility regimes and market conditions. It visualizes that pressure as delta candles + a histogram, and only “lights up” with three breach tiers (plus an ultra-rare white core) when the move is statistically extreme for the current environment.
How to use it:
1) Read it like a pressure gauge, not an entry signal
-Histogram/candle height = intensity of net pressure (buy-dominant vs sell-dominant).
It’s best at telling you: “Is this move real pressure or just price wiggling?”
2) The 3 tiers tell you “how abnormal” the pressure is
-Tier-1 (weak breach): meaningful but common; “something’s happening.”
-Tier-2 (strong breach): rare enough to care; often aligns with real expansions / squeezes / liquidation events.
-Tier-3 (extreme breach): statistically extreme; often shows climactic behavior (either continuation impulse or blow-off/flush conditions).
-White core: only when Tier-3 overshoots hard—treat as “exceptional event.”
Key idea: tiers are adaptive. Tier-2 on BTC 1m and Tier-2 on ES 1h should both represent “strong for that regime.”
3) Best ways to trade with it (high-signal)
-Trend continuation confirmation: In an uptrend, repeated Tier-2/Tier-3 on the up side = real demand; avoid fading unless structure breaks.
-Exhaustion / climax watch: Tier-3 + white core after an extended run = “crowded pressure.” That can precede either: continuation (if structure holds), or reversal / mean reversion (if structure fails).
So you use it as a warning light, then let price structure confirm.
-Compression → expansion detection:
-Quiet baseline for a while, then sudden Tier-2/Tier-3 = expansion regime shift.
-Divergence (use carefully): Price makes new high, DPS-3 fails to reach prior tier intensity → weakening participation. This is most useful on HTFs or at major levels.
4) What the alerts should mean (how you set them)
-Tier-3 breach alerts: your “something serious just hit the tape” alert.
-Pressure flip alerts: best used as contextual reversal confirmation (it requires strong context in your logic).
-White core alert: extremely rare “event mode” notification—use sparingly.
5) One simple rule that keeps you out of trouble
-Don’t fade Tier-2/Tier-3 pressure just because it’s extreme. Fade only when price structure says the move failed (break of trend / reclaim failure / key level loss). DPS-3 tells you strength, structure tells you directional validity.
CCI Standard DeviationCCI Standard Deviation – Asymmetric Volatility-Adjusted Trend Filter (CCI SD)
The Commodity Channel Index (CCI), created by Donald Lambert in 1980, measures how far the typical price deviates from its statistical average to identify cyclical momentum and trend strength.
The standard formula is:
CCI = (Typical Price − SMA(Typical Price, n)) / (0.015 × Mean Deviation)
where Typical Price = (High + Low + Close)/3.
CCI is unbounded and centered around zero: sustained readings above zero indicate bullish momentum, below zero bearish. Classic interpretations often use zero-line crosses or fixed levels (±100, ±200, ±250), but these can be unreliable when CCI volatility changes across market regimes.
This indicator was developed to create a more disciplined trend-following tool that aligns with my core risk principle: “always protect to the downside.”
Starting from the standard CCI zero-line concept for trend direction, I experimented with standard deviation bands to make the oscillator volatility-adjusted. I then applied deliberate asymmetry: requiring the lower 1σ envelope (CCI − stdev) to cross above a positive threshold for bullish confirmation (high-probability entry only in robust trends), while exiting immediately on any raw CCI weakness below a negative threshold (quick downside protection). User inputs for both thresholds were added to allow fine-tuning and adaptability across different assets and timeframes.
An optional DEMA-smoothed version of the lower envelope provides additional clarity when desired.
Extreme zones
raw CCI ±240 and lower envelope > 200 or < –200 - are highlighted with background shading to flag rare acceleration or capitulation phases.
How it works
Standard CCI calculated on typical price (default length 38).
Rolling standard deviation of the CCI itself (default length 13) measures the oscillator’s recent volatility.
Lower envelope = CCI − stdev (dn).
Optional DEMA smoothing (default length 12) can be toggled.
Trend logic:
Bullish regime only when lower envelope
→ Long Threshold (default +10)
→ statistical proof of strength
Bearish/neutral immediately when raw CCI
→ Short Threshold (default –25)
→ fast downside protection
Origin and development
The indicator emerged from wanting a cleaner, more reliable CCI for trend direction. After testing volatility-adjusted versions, the asymmetric design proved superior:
it enters only high-conviction uptrends and exits rapidly on weakness, significantly reducing whipsaws while preserving trend capture.
Parameters were optimized through extensive backtests on major assets (BTC, ETH, SOL and many more Cryptos; Magnificent 7 stocks, QQQ, SPX, gold).
The defaults were selected for the best average Sortino ratio and lowest maximum drawdown across this broad universe, ensuring robustness and avoiding single-asset overfitting.
How to use it
Green triangle below bar
→ lower envelope crosses above Long Threshold
→ high-conviction bullish trend confirmed
→ enter or add to longs
Magenta triangle above bar
→ CCI crosses below Short Threshold
→ exit longs or go cash/short
While lower envelope remains above Long Threshold
→ hold bullish positions
Extreme background shading (dn >200 or CCI ±240)
→ rare high-attention zones (potential acceleration or exhaustion)
Recommended defaults
CCI length: 38
SD length: 13
Long threshold: +10
Short threshold: –25
Optional MA length: 12 (DEMA of lower envelope)
All visual elements (bar coloring, signals, background, smoothed line) are toggleable for personal preference.
This indicator is designed as a trend-strength and risk-management filter and is not intended as a standalone trading system.
Disclaimer:
This is not financial advice. Backtests are based on past results and are not indicative of future performance.
Smart Money Flow - Institutional OI & Volume Analyzer [Pro]# 🎯 Nifty Smart Money Flow - Institutional OI & Volume Analyzer
## What It Does
Professional-grade indicator that tracks **Open Interest (OI) cycles, volume footprints, and basis analysis** across Nifty 50's top 10 heavyweight stocks (representing ~54% of index weight). Identifies institutional accumulation/distribution using **4-quadrant OI analysis** combined with volume surge detection and ATR-based regime filtering.
## 🔥 Key Features
### Institutional-Grade Analytics
- **OI Cycle Detection**: Identifies Long Buildup (LB), Short Covering (SC), Short Buildup (SB), and Long Unwinding (LU) for top 10 Nifty constituents
- **Volume Validation Layer**: Detects institutional footprints via volume spikes >150-200% of 20-period MA
- **Cost of Carry Analysis**: Real-time basis tracking between spot and futures prices
- **Signal Quality Score (0-100)**: 4-component scoring system measuring alignment strength, weighted momentum, trend purity, and basis confirmation
### Advanced Regime Detection
- **Percent-Based ATR Filter**: Normalized volatility comparison prevents false signals across different price levels
- **Consecutive Bar Confirmation**: Requires 3+ bars of sustained signal before regime classification
- **Dynamic Strategy Recommendations**: Suggests optimal option structures (Call/Put Spreads, Iron Condor, Straddle) based on market regime
### Smart Money Divergence Alerts
- **Top Stock Divergence Detection**: Warns when heavyweight stocks (HDFC, Reliance, ICICI) contradict index signal
- **Pareto Principle Application**: Weights top 3 stocks (~30% index weight) for maximum predictive accuracy
## 📊 Visual Dashboard
Clean, dark-theme optimized table displaying:
- Individual stock OI cycles with color coding
- Basis/premium percentages for each heavyweight
- Alignment metrics (Bullish/Bearish/Neutral count)
- Quality score with position sizing guidance (Full Size/Spreads Only/No Trade)
- Institutional volume confirmation count
- Real-time regime status with ATR ratio
## 💡 How To Use
### For Intraday Traders (1m-15m)
1. Enable "Institutional Volume Filter" for noise reduction
2. Wait for Quality Score ≥60 for directional trades
3. Use regime-based structure recommendations (displayed in INDEX row)
### For Swing/Positional Traders (1H-Daily)
1. Focus on consecutive bar count ≥3 for trend confirmation
2. Check for divergence warnings before major positions
3. Use basis analysis to time entries (premium = bullish sentiment)
### For Options Traders
1. **Quality Score 60-100**: Full size directional (Buy Calls/Puts)
2. **Quality Score 30-60**: Spreads only (Call Spread/Put Spread)
3. **Quality Score 0-30**: Avoid directional; use Iron Condor in choppy regime
## ⚙️ Customization Options
- **10 Toggle Switches**: Show/hide individual stocks for cleaner dashboard
- **Volume Threshold**: Adjust institutional detection sensitivity (default 1.5x)
- **Regime ATR Length**: Fine-tune volatility measurement period (default 14)
- **Alignment Thresholds**: Set minimum bullish/bearish stock count for signals (default 5/10)
## 📈 Best For
- Nifty 50 Index traders (Futures & Options)
- Bank Nifty analysis (3 major banks included)
- Institutional flow tracking
- Multi-stock correlation analysis
- Regime-based strategy adaptation
## 🚨 Alerts Included
✅ Strong Bullish Signal (7+ stocks aligned + volume confirmation)
✅ Strong Bearish Signal (7+ stocks aligned + volume confirmation)
✅ Divergence Warning (Top stocks contradict index move)
✅ Institutional Volume Surge (7+ stocks with volume spikes)
## 📚 Technical Foundation
Based on institutional trading principles:
- **Order Flow Analysis**: Price + OI correlation for position identification
- **Smart Money Concepts**: Volume profile + basis analysis for institutional tracking
- **Regime Filtering**: Adaptive strategy selection based on volatility environment
- **Weighted Aggregation**: Pareto principle ensures top stocks drive signal quality
## 🔧 Version History
- v6.0: Initial release with 10-stock coverage
- Optimized request.security() calls: 30 total (3 per stock)
- Dynamic table rendering with barstate.islast efficiency
## 📌 Important Notes
- **Data Source**: NSE India (Spot + Futures + OI)
- **Update Frequency**: Real-time (dependent on chart timeframe)
- **Best Timeframes**: 5m, 15m, 1H, Daily
- **Avoid**: Pre-market hours (OI data may be stale)
---
**Category**: Volume / Order Flow
**Market**: NSE India - Nifty 50
**Timeframe**: Multi-timeframe (1m to Daily)
**Complexity**: Advanced (suitable for intermediate to professional traders)
## Tags (for SEO)
#nifty50 #orderflow #openinterest #institutional #smartmoney #volume #regime #niftyfutures #niftyoptions #oi #banknifty #heavyweights #basis #costofcarry #divergence #qualityscore #nseindia #optionstrading #algorithmic #quantitative
Exhaustion Levels[Sahebson] v2.0🎯 Overview
Exhaustion Levels is a sophisticated price action indicator designed to identify market exhaustion points — moments when buying or selling pressure has potentially reached its limit and a reversal may be imminent.
Unlike traditional oscillators that lag behind price, this indicator analyzes real-time price dynamics to pinpoint high-probability reversal zones before they fully develop.
✨ Key Features
🔺 Exhaustion Detection
Bullish Exhaustion (Green Triangle): Identifies potential bottoming patterns where selling pressure appears exhausted
Bearish Exhaustion (Red Triangle): Detects potential topping patterns where buying pressure appears exhausted
📊 Dynamic Support & Resistance
Automatically plots key levels based on exhaustion points
Levels persist until new exhaustion events occur
Visual confirmation of significant price zones
🤖 Bot-Ready Alerts
JSON-formatted alerts for webhook integration
Compatible with 3Commas, Cornix, Alertatron, and custom bots
Includes ticker, exchange, price, and timestamp data
Human-readable + machine-parseable format
⚙️ Fully Customizable
Adjustable sensitivity parameters
Toggle exhaustion arrows on/off
Toggle support/resistance levels on/off
Customizable line thickness
📈 How To Use
Entry Signals
Buy Signal (🟢): When a green triangle appears below a candle, it suggests potential bullish exhaustion — consider long entries
Sell Signal (🔴): When a red triangle appears above a candle, it suggests potential bearish exhaustion — consider short entries or exits
Support & Resistance
Use the automatically generated levels as potential take-profit zones
Previous exhaustion levels often act as future support/resistance
Combine with your existing S/R analysis for confluence
Best Practices
✅ Use on higher timeframes (1H, 4H, Daily) for more reliable signals
✅ Combine with volume analysis for confirmation
✅ Wait for candle close before acting on signals
✅ Use proper risk management — no indicator is 100% accurate
✅ Backtest on your preferred assets before live trading
🎨 Visual Guide
ElementColorMeaning🔺 Green TriangleBelow candlePotential bullish reversal🔻 Red TriangleAbove candlePotential bearish reversal🟩 Green LineSupport levelPrevious bullish exhaustion zone🟥 Red LineResistance levelPrevious bearish exhaustion zone
⚙️ Settings Explained
SettingDefaultDescriptionShow Exhaustion Arrows✅ OnDisplay buy/sell trianglesShow Exhaustion Levels✅ OnDisplay S/R linesExhaustion Swing Length40Lookback period for analysisExhaustion Bar Count10Sensitivity thresholdLine Thickness2Width of S/R lines
Tip: Lower values = more signals (higher sensitivity), Higher values = fewer signals (higher quality)
📊 Recommended Assets
This indicator works on any liquid market:
✅ Stocks (SPY, QQQ, AAPL, TSLA)
✅ Crypto (BTC, ETH, SOL)
✅ Forex (EUR/USD, GBP/USD)
✅ Futures (ES, NQ, CL)
✅ Indices (US500, US100, US30)
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only. It is not financial advice. Past performance does not guarantee future results. Always do your own research and use proper risk management. Trading involves substantial risk of loss.
Peace of Mind Trader: MA Trend SystemPeace of Mind Trader: MA Trend System
ระบบนี้ถูกออกแบบมาเพื่อให้การดูเทรนด์เป็นเรื่องง่ายและ "สบายใจ" ที่สุด (Peace of Mind) โดยลดความซับซ้อนของการตีเส้นกราฟ ช่วยให้คุณโฟกัสกับภาพใหญ่ของตลาดได้ทันที ด้วยหลักการ EMA Cross ที่เรียบง่ายแต่ทรงพลัง
ฟีเจอร์หลัก:
- Trend Ribbon (แถบสีบอกเทรนด์): แสดงพื้นที่ระบายสีระหว่างเส้น EMA สองเส้น เปลี่ยนสีเขียว/แดงตามแนวโน้ม ช่วยให้มองแวบเดียวก็รู้ว่าตลาดเป็นขาขึ้นหรือขาลง
- สัญญาณซื้อขายที่ชัดเจน:
ขึ้นป้าย "🟢 BULL" เมื่อเริ่มเข้าสู่เทรนด์ขาขึ้น
ขึ้นป้าย "🔴 BEAR" เมื่อเริ่มเข้าสู่เทรนด์ขาลง
- พิเศษ: มีฟังก์ชัน "Show Signal History" สามารถเลือกปิดประวัติเก่าๆ เพื่อให้โชว์แค่ "สัญญาณล่าสุด" เพียงอันเดียวได้ (ทำให้กราฟสะอาดตามาก)
- Dashboard สถานะ: ตารางสรุปมุมขวาล่าง (ปรับตำแหน่งได้) บอกสถานะปัจจุบันทันทีว่าควร Buy หรือ Sell
- เปลี่ยนสีแท่งเทียนอัตโนมัติ: ระบบจะย้อมสีแท่งเทียนให้เป็นสีเขียว/แดงตามเทรนด์ เพื่อลดความสับสนช่วงที่กราฟย่อตัว
วิธีใช้งาน:
🟢 โซนสีเขียว: โฟกัสหน้า Buy หรือถือรันเทรนด์ต่อไป
🔴 โซนสีแดง: โฟกัสหน้า Sell หรือถือเงินสดรอจังหวะ
การตั้งค่า: สามารถปรับค่า EMA และสีต่างๆ ได้ตามสไตล์การเทรดของคุณ
ขอให้มีความสุขกับการเทรดแบบ Peace of Mind ครับ
พีร์ Peace of Mind Trader
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English Description
Peace of Mind Trader: MA Trend System
This indicator is designed to simplify your trading routine by visualizing the market trend clearly and effectively. Built on the classic logic of Moving Average crossovers (EMA), it helps you stay on the right side of the market without the noise.
Key Features:
Trend Ribbon: A visual fill between the Fast and Slow EMA that changes color based on the trend (Green for Bullish, Red for Bearish). This makes it easy to spot the strength and direction of the trend at a glance.
Clear Buy/Sell Signals:
Displays "🟢 BULL" labels when the Fast EMA crosses above the Slow EMA.
Displays "🔴 BEAR" labels when the Fast EMA crosses below the Slow EMA.
New Feature: You can toggle "Show Signal History". Uncheck this option to keep your chart clean by showing only the latest active signal.
Status Dashboard: A customizable panel on the chart (position adjustable) that tells you the current market status immediately (BULL or BEAR).
Trend-Colored Candles: Automatically colors the candlesticks to match the trend, helping you filter out noise during corrections.
How to Use:
Green Zone (Bullish): Look for buying opportunities or hold your position (Run Trend).
Red Zone (Bearish): Look for selling opportunities or stay in cash.
Settings: You can adjust the EMA lengths and all visual colors to fit your personal trading style.
Trade with Logic, Profit with Peace.
Turtle Breakout Pro (Low DD Mode)Turtle Breakout Pro (Low DD Mode) is a trend-following breakout strategy built to participate only in higher-quality expansions while actively limiting exposure during unfavorable phases.
1. Core idea
This strategy focuses on capturing directional moves that begin with a clear price expansion beyond a recent range. It aims to trade only when the market shows both direction and commitment, avoiding entries that are likely to fade back into congestion.
2. Breakout validation
Signals are not triggered by a single touch or a marginal break. The strategy requires price to clear a breakout area with a safety margin and then demonstrate continued acceptance beyond that level. This confirmation behavior is designed to reduce false breakouts and late-session spikes that immediately retrace.
3. Market quality filters
Trades are allowed only when broader conditions support trend continuation. The strategy can enforce a directional bias filter, a trend-strength filter, a volatility suitability check, and an optional participation filter based on activity. The intent is to avoid breakouts that occur in weak, ill-conditioned environments where continuation is statistically less reliable.
4. Adaptive risk and sizing
Position size is dynamically adjusted so that risk remains proportional to current volatility. Instead of using fixed size, the strategy scales exposure based on how much the market can realistically move against the position in normal conditions. This is designed for multi-market use and for maintaining consistency across changing volatility regimes.
5. Exit framework
Exits are layered rather than single-purpose. The strategy uses a protective stop to define invalidation, can progressively protect profits as the trade moves in favor, and can optionally take profits at a logical expansion distance. In addition, a structure-based exit can close positions when the market violates a shorter-term boundary, aiming to avoid giving back too much during reversals.
6. Time and stagnation control
The strategy can enforce a maximum holding time to prevent capital being tied up in trades that stop progressing. If the market does not deliver continuation within a reasonable window, the position is closed to reduce opportunity cost and limit slow drawdown behavior.
7. Drawdown control behavior
A key feature is its defensive trading mode. After a loss, the strategy can temporarily reduce activity by waiting before taking new trades. It can also stop initiating new positions if overall drawdown exceeds a defined tolerance relative to the equity peak. The goal is to avoid “death by a thousand cuts” during noisy regimes.
8. Best conditions
It performs best when markets transition from consolidation into sustained trends, especially on liquid instruments where breakouts can carry through. It is typically more stable when volatility is present but not chaotic, and when trending conditions persist long enough for trailing protection to work.
9. When to avoid
Avoid using it in tight, mean-reverting ranges and during highly erratic whipsaw periods where breakouts frequently fail. In these phases, even well-filtered breakout systems can accumulate small losses and trigger defensive pauses.
10. What to expect
Expect fewer but higher-quality entries compared to basic breakout systems. Many trades will be small wins or small losses, with occasional larger winners when a strong trend develops. The strategy is designed to prioritize smoother equity behavior over maximum trade frequency.
