Dynamic Pivot PointDynamic Pivot Points
Description
Concept This script provides a comprehensive support and resistance system by calculating Dynamic Pivot Points based on a user-defined timeframe and lookback period. Unlike static pivot tools that only look at the previous candle, this indicator allows traders to customize the "Pivot Period" (defaulting to 5), offering a more flexible approach to identifying market structure across different resolutions.
How It Works The indicator calculates a central Pivot Point (P) alongside three levels of Support (S1, S2, S3) and three levels of Resistance (R1, R2, R3).
Calculation Logic: The central pivot is derived from the average price (High, Low, and Close) over the selected timeframe and period.
Support & Resistance: These levels are projected above and below the central pivot, calculated based on the volatility (price range) of the selected period.
Multi-Timeframe (DPP) Capability: The script allows you to view higher-timeframe levels (e.g., Weekly or Monthly) while trading on a lower-timeframe chart (e.g., 15-minute or 1-hour), ensuring you are always aware of the macro trend levels.
How to Use Traders can use this tool to identify potential reversal zones, breakout levels, and the general trend bias.
Trend Confirmation:
Bullish Bias: If the price is sustaining above the central Pivot Line (White), the market is generally considered to be in an uptrend.
Bearish Bias: If the price remains below the central Pivot Line, the market is likely in a downtrend.
Reversal Trading:
Support Levels (Green): Look for bullish reversal signals (such as hammer candles or divergence) near S1, S2, or S3. These are potential "Buy" zones.
Resistance Levels (Red): Look for bearish rejection signals near R1, R2, or R3. These are potential "Sell" zones.
Breakout Trading:
A strong volume push above Resistance (R1-R3) may indicate a bullish breakout.
A breakdown below Support (S1-S3) may signal a bearish continuation.
Settings
Pivot Timeframe: Select the specific resolution for the calculation (e.g., Daily, Weekly).
Defined Period: Adjust the lookback length for the calculation (Default: 5).
Visibility: Toggles to show/hide specific levels based on your chart cleanliness preference.
Note: This script does not guarantee future performance. Pivot points are lagging indicators derived from historical price action and should be used in conjunction with other forms of analysis.
Supply_and_demand
VCAI BOS-Zone PROVCAI BOS-Zone PRO is a structure-driven order-block mapper that tracks swing highs/lows, detects Break of Structure (BOS), and automatically draws clean bullish and bearish OB zones with midlines and directional flags.
It provides a clear, rules-based map of where structural shifts occurred and where price may react on future retests.
What it does:
Uses configurable swing pivots to define structure.
A bullish BOS is triggered when price closes above the last swing high;
a bearish BOS when price closes below the last swing low.
After each BOS, the script finds the last opposite candle (bearish before a bullish BOS, bullish before a bearish BOS) and builds an order-block zone from that candle’s high/low.
Each zone is projected a fixed number of bars into the future, keeping charts clean and preventing zones from extending into the price scale.
Only the latest N bullish and N bearish zones are kept, so the chart focuses on the most relevant active levels.
How to read it:
Yellow boxes + BULL flags = bullish demand zones.
Purple boxes + BEAR flags = bearish supply zones.
The edges of each zone act as potential support/resistance.
Reactions inside a yellow zone suggest buy-side interest;
rejection at a purple zone suggests sell-side pressure.
Optional midlines mark the 50% level of each zone, commonly used for refined entries, mitigations, and partial management.
How traders typically use it:
BOS-Zone PRO does not generate buy/sell alerts, but many traders use the zones as part of a broader decision process:
Bullish zones are often monitored for long setups when price returns and shows strength or continuation.
Bearish zones are often monitored for short setups when price retests and shows rejection or weakness.
Midlines provide refined entry levels with clearer invalidation points.
This tool is best used as structural context alongside your own entry model, risk settings, and trade management.
Notes & best practices:
BOS is directional, not predictive — treat zones as context, not guaranteed reversals.
Works on all symbols and timeframes.
Lower swing settings capture local structure; higher settings focus on major breaks and cleaner OB's.
Ideal as a structural map for discretionary traders or as a component inside automated systems.
Part of the VCAI toolset.
We develop a range of market-structure, volume, trend and liquidity tools designed to work together or stand alone.
IDWM Master StructureExecutive Summary
The IDWM Master Structure is a Multi-Timeframe (MTF) trading tool designed to force discipline by aligning traders with the "Parent" trend. It functions by locking onto the "Completed Auction" of a higher timeframe candle (like a Daily or Weekly bar) and projecting that structure onto your lower timeframe chart. Its primary goal is to define the "Dealing Range"—the hard boundaries where value was previously established—so you don't get lost in the noise of smaller price movements.
1. The Principle of Completed Auctions (Hierarchy)
Most technical indicators curve dynamically with every price tick. This script acts differently because it relies on "Settled Arguments." A closed Daily candle represents a finished battle between buyers and sellers; the High and Low are the historical results of that battle.
To enforce this, the script automatically selects a "Parent" timeframe based on your view:
Scalping (charts below 15 minutes) uses the 4-Hour Auction.
Intraday trading (15 minutes to 4 Hours) uses the Daily Auction.
Swing trading (Daily chart) uses the Weekly Auction.
2. Liquidity Pools & The Sticky Range
The High and Low lines drawn by the indicator are not just support and resistance; they represent Liquidity Pools. In market theory, stop-losses (Sell Stops below Lows, Buy Stops above Highs) accumulate at these edges.
Smart money often pushes price just past these lines to grab this liquidity (a "Stop Hunt") before reversing direction. To account for this, the script uses a "Sticky Range" mechanism. It refuses to redraw the box simply because price touched the line. Instead, it uses an Average True Range (ATR) Buffer. A new structure is only formed if the candle closes decisively outside the range plus this volatility buffer. This ensures you are trading real breakouts, not liquidity sweeps.
3. Internal Range Mechanics (Premium vs. Discount)
Inside the Master Box, the script applies Equilibrium Theory to help with trade location.
The most important internal line is the Equilibrium (EQ), which marks the exact 50% point of the range.
Premium Zone (Above EQ): Price is mathematically "expensive" relative to the recent range. Algorithms generally look to establish Short positions here.
Discount Zone (Below EQ): Price is considered "cheap." Algorithms generally look to establish Long positions here.
It also plots the Master Open, which acts as a "Line in the Sand." If price is currently trading above the Master Open, the higher timeframe candle is Green (Bullish), suggesting longs have a higher probability. If below, the candle is Red (Bearish).
4. Wick Theory (Failed Auctions)
The script places special emphasis on the wicks of the Master Candle because a wick represents a "Failed Auction"—a price level the market tried to explore but ultimately rejected.
The indicator highlights the background of the wick area (from the High to the Body). On a retest, these zones often act as supply or demand blocks because the market remembers the previous failure.
It also calculates the "Consequent Encroachment," which is the 50% midpoint of the wick. The rule of thumb here is that if a candle body can close past 50% of a wick, the rejection is nullified, and price will likely travel to fill the entire wick.
5. Energy Expansion (Breakout Targets)
Market energy transfers from Consolidation (inside the box) to Expansion (the breakout). When the price finally breaks the "Sticky Range" (confirming via the ATR buffer), the script projects where that energy will go.
It uses the height of the previous range to calculate Fibonacci extensions. Specifically, it targets the 1.618 Extension, often called the "Golden Ratio." This is a statistically significant level where expansion moves tend to exhaust themselves and reverse.
6. Safety Protocol: Live Detection
A dashboard monitors the state of the parent candle. If the text turns Magenta with a warning symbol, it means the Higher Timeframe candle is "Live" (still forming).
Trading off a live structure is considered higher risk because the "Auction" isn't finished—the High or Low can still shift. The safest approach is to trade when the dashboard indicates a standard, locked, historical structure.
Bollinger Bands Delta Matrix Analytics [BDMA] Bollinger Bands Delta Matrix Analytics (BDMA) v7.0
Deep Kinetic Engine – 5x8 Volatility & Delta Decision Matrix
1. Introduction & Concept
Bollinger Bands Delta Matrix Analytics (BDMA) v7.0 is an analytical framework that merges:
- Spatial analysis via Bollinger Bands (%B location),
- with a 4-factor Deep Kinetic Engine based on:
• Total Volume
• Buy Volume
• Sell Volume
• Delta (Buy – Sell) Z-Scores
and converts them into an expanded 5×8 decision matrix that continuously tracks where price is trading and how the underlying orderflow is behaving.
BDMA is not a trading system or strategy. It does not generate entry/exit signals.
Instead, it provides a structured contextual map of volatility, volume, and delta so traders can:
- identify climactic extensions vs. fakeouts,
- distinguish strong initiative moves vs. passive absorption,
- and detect squeezes, traps, and liquidity voids with a unified visual dashboard.
2. Spatial Engine – Bollinger S-States (S1–S5)
The spatial dimension of BDMA comes from classic Bollinger Bands.
Price location is expressed as Percent B (%B) and mapped into 5 spatial states (S-States):
S1 – Hyper Extension (Above Upper Band)
Price has pushed beyond the upper Bollinger Band.
Often associated with parabolic or blow-off behavior, late-stage momentum, and elevated reversal risk.
S2 – Resistance Test (Upper Zone)
Price trades in the upper Bollinger region but remains inside the bands.
Represents a sustained test of resistance, typically within an established or emerging uptrend.
S3 – Neutral Zone (Middle)
Price hovers around the mid-band.
This is the mean reversion gravity field where the market often consolidates or transitions between regimes.
S4 – Support Test (Lower Zone)
Price trades in the lower Bollinger region but inside the bands.
Represents a sustained test of support within range or downtrend structures.
S5 – Hyper Drop (Below Lower Band)
Price extends below the lower Bollinger Band.
Often aligned with panic, forced liquidations, or capitulation-type behavior, with increased snap-back risk.
These 5 S-States define the vertical axis (rows) of the BDMA matrix.
3. Deep Kinetic Engine – 4-Factor Z-Score & D-States (D1–D8)
The Deep Kinetic Engine transforms raw volume and delta into standardized Z-Scores to measure how abnormal current activity is relative to its recent history.
For each bar:
- Raw Buy Volume is estimated from the candle’s position within its range
- Raw Sell Volume is complementary to buy volume
- Raw Delta = Buy Volume – Sell Volume
- Total Volume = Buy Volume + Sell Volume
These 4 series are then normalized using a unified Z-Score lookback to produce:
1. Z_Vol_Total – overall activity and liquidity intensity
2. Z_Vol_Buy – aggression from buyers (attack)
3. Z_Vol_Sell – aggression from sellers (defense or attack)
4. Z_Delta – net victory of one side over the other
Thresholds for Extreme, Significant, and Neutral Z-Score levels are fully configurable, allowing you to tune the sensitivity of the kinetic states.
Using Z_Vol_Total and Z_Delta (plus threshold logic), BDMA assigns one of 8 Deep Kinetic states (D-States):
D1 – Climax Buy
Extreme Total Volume + Extreme Positive Delta → Buying climax or blow-off behavior.
D2 – Strong Buy
High Volume + High Positive Delta → Confirmed bullish initiative activity.
D3 – Weak Buy / Fakeout
Low Volume + High Positive Delta → Bullish delta without commitment, low-liquidity breakout risk.
D4 – Absorption / Conflict
High Volume + Neutral Delta → Aggressive two-way trade, strong absorption, war zone behavior.
D5 – Neutral
Low Volume + Neutral Delta → Low-energy environment with low conviction.
D6 – Weak Sell / Fakeout
Low Volume + High Negative Delta → Bearish delta without commitment, low-liquidity breakdown risk.
D7 – Strong Sell
High Volume + High Negative Delta → Confirmed bearish initiative activity.
D8 – Capitulation
Extreme Volume + Extreme Negative Delta → Panic selling or capitulation regime.
These 8 D-States define the horizontal axis (columns) of the BDMA matrix.
4. The 5×8 BDMA Decision Matrix
The core of BDMA is a 5×8 matrix where:
- Rows (1–5) = Spatial S-States (S1…S5)
- Columns (1–8) = Kinetic D-States (D1…D8)
Each of the 40 possible combinations (SxDy) is pre-computed and mapped to:
- a Status or Regime Title (for example: Climax Breakout, Bear Trap Spring, Capitulation Breakdown),
- a Bias (Climactic Bull, Neutral, Strong Bear, Conflict or Reversal Risk, and similar labels),
- and a Strategic Signal or Consideration (for example: High reversal risk, Wait for confirmation, Low probability zone – avoid).
Internally, BDMA resolves all 40 regimes so the current state can be displayed on the dashboard without performance overhead.
5. Key Regime Families (How to Read the Matrix)
5.1. Breakouts and Breakdowns
Climax Breakout (Top-side)
Spatial S1 with Kinetic D1 or D2
Bias: Explosive or Extreme Bull
Signal:
- Strong or climactic upside extension with abnormal bullish orderflow.
- Trend continuation is possible, but reversal risk is extremely high after blow-off phases.
Low-Conviction Breakout (Fakeout Risk)
S1 with D3 (Weak Buy, low liquidity)
Bias: Weak Bull – Caution
Signal:
- Breakout not supported by volume.
- Elevated risk of failed auction or bull trap.
Capitulation Breakdown (Bottom-side)
Spatial S5 with Kinetic D8
Bias: Climactic Bear (panic)
Signal:
- Capitulation-type selling or forced liquidations.
- Trend can still proceed, but snap-back or violent short-covering risk is high.
Initiative Breakdown vs. Weak Breakdown
- Strong, high-volume breakdown typically corresponds to D7 (Strong Sell).
- Low-volume breakdown often corresponds to D6 (Weak Sell or Fakeout) with potential for failure.
5.2. Absorption, Traps and Springs
Absorption at Resistance (Top-side conflict)
S1 or S2 with D4 (Absorption or Conflict)
Bias: Conflict – Extreme Tension
Signal:
- Heavy two-way trade near resistance.
- Potential distribution or reversal if sellers begin to dominate.
Bull Trap or Failed Auction
Typically S1 with D6 (Weak Sell breakdown behavior after a top-side attempt)
Indicates a breakout attempt that fails and reverses, often after poor liquidity structure.
Absorption at Support and Bear Trap (Spring)
S4 or S5 with D4 or D3
Bias: Conflict or Weak Bear – Reversal Risk
Signal:
- Aggressive buying into lows (spring or shakeout behavior).
- Potential bear trap if price reclaims lost territory.
5.3. Trend Phases
Strong Uptrend Phases
Typically seen when S2–S3 combine with strong bullish kinetic behavior.
Bias: Strong or Extreme Bull
Signal:
- Pullbacks into S3 or S4 with supportive kinetic states often act as trend continuation zones.
Strong Downtrend Phases
Typically seen when S3–S4 combine with strong bearish kinetic behavior.
Bias: Strong or Extreme Bear
Signal:
- Rallies into resistance with strong bearish kinetic backing may act as continuation sell zones.
5.4. Neutral, Exhaustion and Squeeze
Exhaustion or Liquidity Void
S1 or S5 with D5 (Neutral kinetics)
Bias: Neutral or Exhaustion
Signal:
- Spatial extremes without kinetic confirmation.
- Often marks the end of a move, with poor follow-through.
Choppy, Low-Activity Range
S3 with D5
Bias: Neutral
Signal:
- Low volume, low conviction market.
- Typically a low-probability environment where standing aside can be logical.
Squeeze or High-Tension Zone
S3 with D4 or tightly clustered kinetic values
Bias: Conflict or High Tension
Signal:
- Hidden battle inside a volatility contraction.
- Often precedes large directionally-biased moves.
6. Dashboard Layout & Reading Guide
When Show Dashboard is enabled, BDMA displays:
1. Title and Status Line
Name of the current regime (for example: Climax Breakout, Bear Trap Spring, Mean Reversion).
2. Bias Line
Plain-language summary of directional context such as Climactic Bull, Strong Bear, Neutral, or Conflict and Reversal Risk.
3. Signal or Strategic Notes
Concise guidance focused on risk and context, not entries. For example:
- High reversal risk – aggressive traders only
- Wait for confirmation (break or rejection)
- Low probability zone – avoid taking new positions
4. Kinetic Profile (4-Factor Z-Score)
Shows the current Z-Scores for Total Volume (Activity), Buy Volume (Attack), Sell Volume (Defense), and Delta (Net Result).
5. Matrix Heatmap (5×8)
Visual representation of S-State vs. D-State with color coding:
- Bullish clusters in a green spectrum
- Bearish clusters in a red spectrum
- Conflict or exhaustion zones in yellow, amber, or neutral tones
The dashboard can be repositioned (top right, middle right, or bottom right) and its size can be adjusted (Tiny, Small, Normal, or Large) to fit different layouts.
7. Inputs & Customization
7.1. Core Parameters (Bollinger and Z-Score)
- Bollinger Length and Standard Deviation define the spatial engine.
- Z-Score Lookback (All Factors) defines how many bars are used to normalize volume and delta.
7.2. Deep Kinetic Thresholds
- Extreme Threshold defines what is considered climactic (D1 or D8).
- Significant Threshold distinguishes strong initiative vs. weak or fakeout behavior.
- Neutral Threshold is the band within which delta is treated as neutral.
These thresholds allow you to tune the sensitivity of the kinetic classification to fit different timeframes or instruments.
7.3. Calculation Method (Volume Delta)
Geometry (Approx)
- Fast, non-repainting approach based on candle geometry.
- Suitable for most users and real-time decision-making.
Intrabar (Precise)
- Uses lower-timeframe data for more precise volume delta estimation.
- Intrabar mode can repaint and requires compatible data and plan support on the platform.
- Best used for post-analysis or research, not blind automation.
7.4. Visuals and Interface
- Toggle Bollinger Bands visibility on or off.
- Switch between Dark and Light color themes.
- Configure dashboard visibility, matrix heatmap display, position, and size.
8. Multi-Language Semantic Engine (Asia and Middle East Focus)
BDMA v7.0 includes a fully integrated multi-language layer, targeting a wide geographic user base.
Supported Languages:
English, Türkçe, Русский, 简体中文, हिन्दी, العربية, فارسی, עברית
All dashboard labels, regime titles, bias descriptions, and signal texts are dynamically translated via an internal dictionary, while semantic meaning is kept consistent across languages.
This makes BDMA suitable for multi-language communities, study groups, and educational content across different regions.
However, due to the heavy computational load of the Deep Kinetic Engine and TradingView’s strict Pine Script execution limits, it was not possible to expand support to additional languages. Adding more translation layers would significantly increase memory usage and exceed runtime constraints. For this reason, the current language set represents the maximum optimized configuration achievable without compromising performance or stability.
9. Practical Usage Notes
BDMA is most powerful when used as a contextual overlay on top of market structure (HH, HL, LH, LL), higher-timeframe trend, key levels, and your own execution framework.
Recommended usage:
- Identify the current regime (Status and Bias).
- Check whether price location (S-State) and kinetic behavior (D-State) agree with your trade idea.
- Be especially cautious in climactic and absorption or conflict zones, where volatility and risk can be elevated.
Avoid treating BDMA as an automatic green equals buy, red equals sell tool.
The real edge comes from understanding where you are in the volatility or kinetic spectrum, not from forcing signals out of the matrix.
10. Limitations & Important Warnings
BDMA does not predict the future.
It organizes current and recent data into a structured context.
Volume data quality depends on the underlying symbol, exchange, and broker feed.
Forex, crypto, indices, and stocks may all behave differently.
Intrabar mode can repaint and is sensitive to lower-timeframe data availability and your plan type.
Use it with extra caution and primarily for research.
No indicator can remove the need for clear trading rules, disciplined risk management, and psychological control.
11. Disclaimer
This script is provided strictly for educational and analytical purposes.
It is not a trading system, signal service, financial product, or investment advice.
Nothing in this indicator or its description should be interpreted as a recommendation to buy or sell any asset.
Past behavior of any indicator or market pattern does not guarantee future results.
Trading and investing involve significant risk, including the risk of losing more than your initial capital in leveraged products.
You are solely responsible for your own decisions, risk management, and results.
By using this script, you acknowledge that you understand these risks and agree that the author or authors and publisher or publishers are not liable for any loss or damage arising from its use.
Liquidity Mix- Supply and DemandLiquidity Mix highlights developing and confirmed supply/demand zones and optional trade guides with entries, stops, targets, and risk/reward math. Benefits: see high-probability reaction areas early, size positions automatically from your risk input, track reward multiples, and receive optional alerts when price tags zones or entries—all in one overlay.
Smart Money Concepts [Riz]Smart Money Concepts is a comprehensive technical analysis tool for identifying institutional trading patterns and market structure. This indicator combines Smart Money Concepts (SMC), ICT methodology, and Wyckoff principles into one professional tool.
✨ KEY FEATURES
📊 VOLUMETRIC ORDER BLOCKS
• Visual representation of supply/demand zones with volume distribution
• Horizontal volume bars showing buy/sell composition inside each Order Block
• Automatic mitigation tracking
• Breaker Block detection (invalidated OBs acting as reversal zones)
• Strength rating system: ★ Weak, ★★ Medium, ★★★ Strong
• ATR-based size filtering to show only significant zones
📈 MARKET STRUCTURE DETECTION
• Break of Structure (BOS) and Change of Character (CHoCH) identification
• Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), Lower Lows (LL) labels
• Internal structure pivots (iH/iL) for intraday analysis
• Auto-adjusting swing length based on timeframe
• Configurable confirmation methods (Close vs Wick-based)
💎 FAIR VALUE GAPS (FVG)
• Automatic detection of bullish and bearish imbalances
• Configurable mitigation percentage (default 50%)
• Visual tracking until gaps are filled
• Separate color schemes for clarity
💧 LIQUIDITY ANALYSIS
• Buy Side Liquidity (BSL) identification at swing highs
• Sell Side Liquidity (SSL) identification at swing lows
• Automatic sweep detection with visual confirmation
• Real-time alerts when liquidity is taken
⚖️ PREMIUM & DISCOUNT ZONES
• Dynamic range calculation based on configurable lookback period
• Equilibrium (EQ) level identification
• Previous Day High (PDH) and Previous Day Low (PDL) levels
• Helps identify favorable entry zones
📊 REAL-TIME DASHBOARD
• Live statistics on all detected patterns
• Active Order Blocks and FVGs count
• BOS/CHoCH occurrence tracking
• Liquidity sweep counters
• Recent market activity indicators
• Current trend bias display
• Fully customizable position and size
⚙️ CUSTOMIZATION OPTIONS
All aspects are fully customizable:
• Swing Length (1-50 bars) with auto-adjust for timeframe
• Max Active Order Blocks (10-100)
• Volume bar position (Left/Right) with mirror option
• Volume bar width percentage (10-50%)
• ATR size filter for Order Blocks
• Strength rating method (Touches/Age/Distance/Volume/Combined)
• All colors and transparency levels
• Dashboard position (9 locations available)
• Comprehensive alert system for all events
🎓 HOW IT WORKS
ORDER BLOCKS: Identified at the last candle before a Break of Structure. These represent institutional supply and demand zones. Volume is estimated based on candle characteristics and displayed as horizontal bars.
MARKET STRUCTURE: Tracks pivot highs and lows to determine if price is making Higher Highs/Higher Lows (bullish structure) or Lower Highs/Lower Lows (bearish structure). BOS indicates trend continuation, while CHoCH signals potential trend reversal.
LIQUIDITY: Swing highs represent Buy Side Liquidity where short positions have their stop losses. Swing lows represent Sell Side Liquidity where long positions have stop losses. The indicator tracks when these levels are "swept" by price.
FAIR VALUE GAPS: Three-candle patterns where the current candle's range doesn't overlap with the candle two bars ago, creating price imbalances that often get filled later.
📚 BEST PRACTICES
• Use on all timeframes - Auto-adjust feature optimizes settings automatically
• Look for confluence - Best setups occur when multiple concepts align (e.g., Order Block + liquidity sweep + discount zone)
• Consider risk/reward - Use Premium/Discount zones to identify favorable entry areas
• Respect market context - Order Blocks in the direction of overall trend tend to be more reliable
• Volume matters - Higher volume percentages in the expected direction may indicate stronger zones
⚠️ IMPORTANT NOTES
EDUCATIONAL TOOL: This indicator is designed for analysis and education, not as trading signals or investment advice.
VOLUME ESTIMATION: Buy/sell volume distribution is estimated based on candle characteristics since true buy/sell volume data is not available in Pine Script.
NO GUARANTEES: Past performance is not indicative of future results. All trading involves substantial risk.
RISK MANAGEMENT: Always use proper risk management and seek additional confirmation before making trading decisions.
OBJECT LIMITS: On very fast timeframes (1m, 5m) in highly volatile markets, the indicator may approach Pine Script's 500-object limit. Reduce max OBs/FVGs in settings if needed.
🔧 TECHNICAL SPECIFICATIONS
• Pine Script Version: v6
• Indicator Type: Overlay (displays on price chart)
• Maximum Objects: Optimized to stay within Pine Script limits
• Performance: Efficient rendering with configurable history management
• Updates: Real-time on every bar close
📖 METHODOLOGY
This indicator combines concepts from:
• Inner Circle Trader (ICT) methodology
• Smart Money Concepts (SMC) framework
• Wyckoff market analysis principles
• Order flow and volume spread analysis
⚖️ DISCLAIMER
This indicator is for educational and informational purposes only. It is not financial advice. Trading financial instruments carries substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions. The author assumes no responsibility for any losses incurred from using this indicator.
Scalper Pro Pattern Recognition & Price Action📘 Scalper Pro Pattern Recognition & Price Action
Overview
Scalper Pro is a dynamic multi-layer trend recognition and price action strategy that integrates Supertrend, Smart Money Concepts (SMC), and volatility-based risk control.
It adapts to market volatility in real time to enhance entry precision and optimize risk.
⚠️ This script is for educational and research purposes only.
Past performance does not guarantee future results.
🎯 Strategy Objectives
Detect structural market shifts (BOS / CHoCH) automatically.
Identify Order Blocks (OB), Fair Value Gaps (FVG), and key liquidity zones.
Plot dynamic Take-Profit (TP) and Stop-Loss (SL) levels based on ATR.
Avoid low-volatility (sideways) conditions using ADX filtering.
Combine trend-following signals with structural confirmation.
✨ Key Features
Supertrend Entry Signals — Generates precise buy/sell markers based on price crossovers with the Supertrend line.
Order Block Detection — Automatically plots both Internal and Swing Order Blocks for smart money insights.
Fair Value Gap Visualization — Highlights inefficiency zones in bullish or bearish structures.
Market Structure Labels — Marks Break of Structure (BOS) and Change of Character (CHoCH) points for clear trend shifts.
Dynamic Risk Levels — Automatically generates TP/SL lines and price labels using ATR-based distance.
📊 Trading Rules
Long Entry:
• Price crosses above the Supertrend (ta.crossover(close, supertrend))
• ADX above sideways threshold (trend condition confirmed)
• Optional confirmation from a bullish BOS or CHoCH
Short Entry:
• Price crosses below the Supertrend (ta.crossunder(close, supertrend))
• ADX above threshold
• Optional confirmation from a bearish BOS or CHoCH
Exit (or Reverse):
• Opposite Supertrend crossover
• Price hits TP/SL lines
• Trend shift confirmed by internal BOS/CHoCH
💰 Risk Management Parameters
Stop Loss & Take Profit based on ATR × risk multiplier
ATR Length: 14 (default)
Risk %: 3% per trade
Sideways Filter: ADX < 15 → no trade zone
TP1–TP3 = Entry ± (ATR × 1~3)
⚙️ Indicator Settings
Supertrend Module:
ATR Length: 10
Factor: nsensitivity × 7
ADX Module:
ADX Length: 15
Sideways Threshold: 15
EMA Set:
EMA (5, 9, 13, 34, 50) × Volatility Factor (3)
SMA Filter:
SMA(8) & SMA(9) for short-term trend confirmation
Smart Money Concepts Module:
Displays BOS/CHoCH, Order Blocks, FVGs, Equal Highs/Lows, and Premium/Discount zones
🔧 Improvements & Uniqueness
Integrates Supertrend momentum with Smart Money Concepts (SMC) structural analysis.
Dual detection layers: Internal (micro) and Swing (macro) structures.
ATR-driven auto labeling for entry, stop, and profit targets.
Premium/Discount and Equilibrium zones visualized on the chart.
Built-in ADX filter to skip low-trend market conditions.
✅ Summary
Scalper Pro Pattern Recognition & Price Action merges classical trend-following with modern market structure analytics.
It combines momentum detection, volatility control, and smart money mapping into one cohesive framework.
Unified trend, structure, and risk visualization.
Auto-marked BOS/CHoCH, OB, FVG, and liquidity zones.
Usable for scalping, intraday, or swing trading setups.
⚠️ This strategy is based on historical data and designed for educational use only.
Always apply sound risk management and forward testing before live trading.
[AutoZone_mrkim]Title:
AutoZone_mrkim — Multi-Timeframe Order Block Auto Zone
Description:
This indicator automatically identifies and draws Order Block zones for every timeframe.
It helps traders visualize potential supply and demand areas more clearly and react faster to market structure changes.
Main Features:
Automatically detects bullish and bearish Order Block zones
Multi-timeframe zone generation (supports all chart timeframes)
Auto-color change when a zone is broken
Clean visualization for trend continuation and reversal setups
Useful for scalpers, intraday traders, and swing traders
Adjustable display options for zone size and transparency
How to Use:
Use the newest zone for short-term intraday signals
Confirm zone strength using structure breaks
Combine with trend analysis for higher accuracy
Disclaimer:
This indicator is a tool to assist decision making, not a guaranteed trading system.
Use responsibly.
Quantura - Supply & Demand Zone DetectionIntroduction
“Quantura – Supply & Demand Zone Detection” is an advanced indicator designed to automatically detect and visualize institutional supply and demand zones, as well as breaker blocks, directly on the chart. The tool helps traders identify key areas of market imbalance and potential reversal or continuation zones, based on price structure, volume, and ATR dynamics.
Originality & Value
This indicator provides a unique and adaptive method of zone detection that goes beyond simple pivot or candle-based logic. It merges multiple layers of confirmation—volume sensitivity, ATR filters, and swing structure—while dynamically tracking how zones evolve as the market progresses. Unlike traditional supply and demand indicators, this script also detects and plots Breaker Zones when previous imbalances are violated, giving traders an extra layer of market context.
The key values of this tool include:
Automated detection of high-probability supply and demand zones.
Integration of both volume and ATR filters for precision and adaptability.
Dynamic zone merging and updating based on price evolution.
Identification of breaker blocks (invalidated zones) to visualize market structure shifts.
Optional bullish and bearish trade signals when zones are retested.
Clear, visually optimized plotting for efficient chart interpretation.
Functionality & Core Logic
The indicator continuously scans recent price data for swing highs/lows and combines them with optional volume and ATR conditions to validate potential zones.
Demand Zones are formed when price action indicates accumulation or a strong bullish rejection from a low area.
Supply Zones are created when distribution or strong bearish rejection occurs near local highs.
Breaker Blocks appear when existing zones are invalidated by price, helping traders visualize potential market structure shifts.
Bullish and bearish signals appear when price re-enters an active zone or breaks through a breaker block.
Parameters & Customization
Demand Zones / Supply Zones: Enable or disable each individually.
Breaker Zones: Activate breaker block detection for invalidated zones.
Volume Filter: Optional filter to only confirm zones when volume exceeds its long-term average by a user-defined multiplier.
ATR Filter: Optional filter for volatility confirmation, ensuring zones form under strong momentum conditions.
Swing Length: Controls the number of bars used to detect structural pivots.
Sensitivity Controls: Adjustable ATR and volume multipliers to fine-tune detection responsiveness.
Signals: Toggle for on-chart bullish (▲) and bearish (▼) signal plotting when price interacts with zones.
Color Customization: User-defined bullish and bearish colors for both standard and breaker zones.
Core Calculations
Zones are detected using pivot highs and lows with a defined lookback and lookahead period.
Additional filters apply if ATR and volume are enabled, requiring conditions like “ATR > average * multiplier” and “Volume > average * multiplier.”
Detected zones are merged if overlapping, keeping the chart clean and logical.
When price breaks through a zone, the original box is closed, and a new breaker zone is plotted automatically.
Bullish and bearish markers appear when zones are retested from the opposite side.
Visualization & Display
Demand zones are shaded in semi-transparent bullish color (default: blue).
Supply zones are shaded in semi-transparent bearish color (default: red).
Breaker zones appear when previous imbalances are broken, helping to spot structural shifts.
Optional arrows (▲ / ▼) indicate potential buy or sell reactions on zone interaction.
Use Cases
Identify institutional areas of accumulation (demand) or distribution (supply).
Detect potential breakout traps and market structure shifts using breaker zones.
Combine with other tools such as volume profile, EMA, or liquidity indicators for deeper confirmation.
Observe retests and reactions of zones to anticipate possible reversals or continuations.
Apply multi-timeframe analysis to align higher timeframe zones with lower timeframe entries.
Limitations & Recommendations
The indicator does not predict future price movement; it highlights structural imbalances only.
Performance depends on chosen swing length and sensitivity—users should optimize parameters for each market.
Works best in volatile markets where supply and demand imbalances are clearly expressed.
Should be used as part of a broader trading framework, not as a standalone signal generator.
Markets & Timeframes
The “Quantura – Supply & Demand Zone Detection” indicator is suitable for all asset classes including cryptocurrencies, Forex, indices, commodities, and equities. It performs reliably across multiple timeframes, from intraday scalping to higher timeframe swing analysis.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Important
This description complies with TradingView’s Script Publishing and House Rules. It clearly explains the indicator’s originality, underlying logic, functionality, and intended use without unrealistic claims or performance guarantees.
Supply and Demand Scanner Toolkit [TradingFinder]🔵 Introduction
The analytical system presented here is built upon a deep quantitative foundation designed to capture the dynamic behavior of supply and demand in live markets. At its core, it calculates continuously adaptive zones where institutional liquidity, volatility shifts, and momentum transitions converge. These zones are derived from a combination of a regression-based moving average, a long-period ATR, and Fibonacci expansion ratios, all working together to model real-time volatility, price momentum, and the underlying market imbalance.
In practice, this means that at any given moment, five primary bands and seven variable analytical zones are generated around price, representing different market states ranging from extreme overbought to extreme oversold.
Each band reacts dynamically to price volatility, recalibrating with every new candle, which allows the system to mirror the true, constantly changing structure of supply and demand. Every movement between these zones reflects a transition in the strength and dominance of buyers and sellers, a process referred to as volatility-driven price state transitions.
Traditional analytical models often rely on fixed or static indicators that cannot keep up with the rapid microstructural changes in modern markets. This system instead uses regression and smoothing logic to adapt on the fly. By combining a regression moving average with a smoothed moving average, the model calculates real-time trend direction, momentum flow, and trend strength.
When the regression average rises above the smoothed one, the system classifies the trend as bullish; when it falls below, bearish. This dual-layer structure not only helps confirm direction but also enables the automatic detection of critical structural shifts such as Break of Structure (BoS), Change of Character (CHoCH), and directional reversals.
Both the current trend (Live Trend) and projected future trend (Vision Trend) are calculated simultaneously across all available timeframes. This dual analysis allows traders to identify structural changes earlier and to recognize whether a trend is gaining or losing momentum.
In most conventional moving-average-based frameworks, trading signals are delayed because these models react to price rather than anticipate it. As a result, many buy or sell signals appear after the real move has already begun, leading to entries that contradict the current trend. This system eliminates that lag by employing a mean reversion trading model. Instead of waiting for crossovers, it observes how far price deviates from its statistical mean and reacts when that deviation begins to shrink, the moment when equilibrium forces reemerge.
This approach produces non-lagging, data-driven signals that appear at the exact moment price begins to revert toward balance. At the same time, traders can visually assess the market’s condition by observing the spacing, compression, or expansion of the dynamic bands, which represent volatility shifts and trend energy. Through this interaction, the trader can quickly gauge whether a trend is strengthening, losing power, or preparing for a reversal. In other words, the model provides both quantitative precision and intuitive visualization.
A unique visual element in this system is how candles are displayed during transitional states. When Live Trend and Vision Trend contradict each other, for instance, when the current trend is bullish but the projected trend turns bearish, candle bodies automatically appear as hollow.
These hollow candles act as visual alerts for zones of uncertainty or equilibrium between buyers and sellers, often preceding trend reversals, liquidity sweeps, or volatility compression phases. Traders quickly learn to interpret hollow candles as signals to pause, observe, or prepare for potential shifts rather than to act impulsively.
Signal generation in this model occurs when price reverts from extreme zones back toward neutrality. When price exits the strong overbought or strong oversold zones and reenters a milder area, the system produces a reversal signal that aligns with real-time market dynamics. To refine accuracy, these signals are confirmed through several filters, including momentum verification, volatility behavior, and smart money validation. This multi-layered signal logic significantly reduces false entries, helping traders avoid overreactions to temporary liquidity spikes and enhancing performance in volatility-driven markets.
On a broader level, the model supports full multi-timeframe analysis. It can analyze up to twenty symbols simultaneously, across multiple timeframes, to detect directional bias, correlation, and confluence. The result is a holistic map of market structure in real time, showing how each asset aligns or diverges from others and how lower timeframes fit into the macro trend. Variables such as Live Trend, Vision Trend, Directional Strength, and Zone Positioning combine to give a complete structural snapshot at any given moment.
Risk management is handled by an adaptive Trailing Stop Engine that continuously aligns with current volatility and price flow. It integrates pivot mapping with ATR-based calculations to dynamically adjust stop-loss levels as price evolves. The engine offers four adaptive modes, Grip, Flow, Drift, and Glide, each tailored to different levels of market volatility and trader risk tolerance. In visualization, the profit area between entry and stop-loss is shaded light green for long positions and light red for short positions. This design allows immediate recognition of active risk exposure and profit lock-in zones, all in real time.
Altogether, the combination of ATR Volatility Mapping, Fibonacci Band Calibration, Regression-Based Trend Engine, Dynamic Supply and Demand Equilibrium, Conflict Detection through Hollow Candles, Mean Reversion Signal Model, and Adaptive Trailing Stop forms a unified analytical system. It maps the market’s structure, identifies current and future trends, measures the real-time balance of buyers and sellers, and highlights optimal entry and exit points. The final result is higher analytical precision, improved risk control, and a clearer view of the true, data-defined market structure.
🔵 How to Use
Analyzing supply and demand in live financial markets is one of the most complex challenges traders face. Price rarely moves in a straight line; instead, it evolves through phases of expansion, compression, and redistribution. Many traders misinterpret these movements because the zones that appear strong or reactive at first glance often represent nothing more than temporary liquidity redistributions.
These areas, while visually convincing, may lose relevance quickly when volatility increases or when viewed from another timeframe. In high-volatility environments, traditional zone analysis becomes even more unreliable. Price may seem to respect a support or resistance level only to break through it a few candles later. This behavior creates false zones and misleading reversal points.
The key to filtering such movements lies in understanding the context, how volatility, momentum, and structural flow interact across different timeframes. A single timeframe can only tell part of the story. The market’s true structure emerges only when data is synchronized from macro to micro levels.
This is where multi-timeframe correlation becomes essential. Every timeframe offers a different lens through which supply and demand balance can be observed. For example, a trader might see a bullish setup on a 15-minute chart while the 4-hour chart is still showing a strong distribution phase. Without alignment between these layers, trades are easily positioned against the dominant liquidity flow. The model presented here solves this by processing all relevant timeframes simultaneously, allowing traders to see how short-term movements fit within higher-level structures.
Each market phase, whether accumulation, expansion, or reversion, carries a unique volatility fingerprint. The system tracks transitions in volatility regimes, momentum divergence, and structural breakouts to anticipate when a phase change is approaching. For instance, when volatility compresses and ATR readings narrow, it often signals an upcoming breakout or reversal. By monitoring these shifts in real time, the model helps the trader differentiate between liquidity grabs (temporary volatility spikes) and genuine structural changes.
Every supply-demand interaction within this system is adaptive rather than static. The zones continuously recalibrate based on live parameters such as price velocity, momentum distribution, and liquidity displacement. This adaptive structure ensures that the balance between buyers and sellers is represented accurately as market conditions evolve.
In practice, this allows the user to identify early signs of trend exhaustion, potential reversals, and continuation patterns long before traditional indicators would react.
In essence, successful supply and demand analysis requires moving beyond subjective interpretation toward data-driven decision-making.
Manual drawing of zones or relying solely on visual intuition can lead to inconsistent results, especially in fast-changing markets. By combining ATR-driven volatility mapping, mean reversion dynamics, and multi-timeframe alignment, this framework offers a clear, objective, and responsive model of how market forces actually operate. Each decision becomes grounded in measurable context, not assumptions.
The analytical interface is divided into two main sections : the visual chart framework and the scanner data table.
On the chart, five dynamic bands and seven analytical zones appear around price. These are calculated from ATR, regression moving average, and Fibonacci expansion ratios to define whether the market is overbought, oversold, or neutral. Each zone has distinct color coding, allowing traders to recognize the market state instantly without switching tools or indicators.
Price movement within these bands reveals more than just direction, it tells a story of volatility, liquidity flow, and market equilibrium. The upper zones typically indicate exhaustion of buying pressure, while lower zones highlight areas of overselling or potential recovery. The way price reacts near these boundaries can help determine whether a continuation or reversal is likely.
At the heart of the visualization are two layered trend components : Live Trend and Vision Trend.
The Live Trend shows the present market direction based on regression and smoothing logic, while the Vision Trend projects the probable future trajectory by analyzing slope deviation and momentum displacement. When these two align, the trader sees confirmation of market strength. When they diverge, candle bodies turn hollow, a simple yet powerful visual alert signaling hesitation, consolidation, or a possible turning point.
At the bottom of the interface, the Scanner Table organizes all analytical data into a structured display. Each row corresponds to a symbol and timeframe, showing the current Live Trend, Vision Trend, Directional Strength, Zone Position, and Signal Age. This table provides a real-time overview of all assets being tracked, showing which ones are trending, which are in reversal, and which are entering transition zones. By analyzing this table, traders can instantly identify correlation clusters, where multiple assets share the same trend direction, often a sign of broader market sentiment shifts.
The Scanner can simultaneously process multiple timeframes and up to twenty different assets, producing a panoramic market overview. This makes it easy to apply a top-down analytical workflow, starting with higher timeframe alignment, then drilling down into lower levels for execution. Instead of reacting to isolated signals, traders can see where confluence exists across structures and focus only on setups that align with overall market context.
The bands and their color coding make interpretation intuitive even for less experienced users. Darker shades correspond to extreme zones, typically where institutional orders are being absorbed or distributed, while lighter zones mark mild overbought or oversold conditions. When price transitions from an outer extreme zone into a milder region, a signal condition becomes active. At this point, traders can cross-check the event using momentum and volatility filters before acting.
The trailing stop section of the display adds another critical dimension to decision-making. It visualizes stop levels as continuously updating colored lines that follow price movement. These levels are calculated dynamically through pivot mapping and ATR-based sensitivity. The shaded area between the entry point and active stop loss (light green for buys, light red for sells) gives traders immediate insight into how much of the move is currently secured as profit and how much remains exposed. This simple visual cue transforms risk management from a static calculation into a living, responsive process.
All components of this analytical system are fully customizable. Users can adjust signal type, calculation periods, smoothing intensity, and band sensitivity to match their trading style. For example, a scalper might shorten ATR and MA periods to capture rapid fluctuations, while a swing trader might increase them for smoother and more stable readings. Because every element responds to live data, even small adjustments lead to meaningful changes in how the system behaves.
When combined with the scanner’s data table, these features enable a top-down analytical workflow, one where decisions are not made from isolated indicators but from a complete, multi-dimensional understanding of market structure. The result is a system that supports both reactive precision and proactive market awareness.
🟣 Long Signal
A long signal is generated when price begins to rebound from deeply oversold conditions. More precisely, when price enters the strong or extreme oversold zones and then returns into the mild oversold region, the system identifies the start of a mean reversion phase. This transition is not based on subjective interpretation but on mathematical deviation from equilibrium, meaning that selling pressure has been exhausted and liquidity begins to shift toward buyers.
Unlike delayed signals that depend on moving average crossovers or oscillators, this signal appears the moment price starts moving back toward balance. The model’s mean reversion logic detects when volatility contraction and momentum realignment coincide, producing a non-lagging entry condition.
In this situation, traders can visually confirm the setup by observing the spacing and curvature of the lower bands. When the lower volatility bands begin to flatten or curve upward while ATR readings stabilize, it indicates that the market is transitioning from distribution to accumulation.
The strength and quality of each long signal depend on the configuration of trend variables. When both Live Trend and Vision Trend are bullish, the probability of continuation is significantly higher. This alignment suggests that the market’s short-term momentum is supported by long-term structure. On the other hand, when the two trends contradict each other, which the chart highlights with hollow candles, it represents a temporary phase of indecision or conflicting forces.
In these moments, traders are encouraged to monitor volatility compression and observe whether the next few candles confirm a real breakout or revert back to range conditions.
Additional confirmation can be derived from observing the slope of the regression moving average and the magnitude of ATR fluctuations. A steeper upward slope combined with decreasing volatility indicates stronger bullish intent. In contrast, if ATR expands while price remains flat, it signals potential traps or fakeouts driven by short-term liquidity grabs.
Valid long signals often emerge near the end of volatility compression periods or immediately after liquidity sweeps around major lows. These are points where large players typically absorb remaining sell orders before initiating upward movement. Once the long condition triggers, the system automatically calculates the initial stop loss using a combination of recent pivots and ATR range. From that point, the Trailing Stop Engine dynamically adjusts as price rises, maintaining optimal distance from the entry point and locking in profits without restricting trade potential.
For educational context, consider a situation where the market has been trending downward for several sessions, and the ATR value begins to decline, showing that volatility is compressing. As price touches the lower extreme zone and reverses into the mild oversold region while Live Trend starts turning positive, this creates an ideal long condition. A new cycle of expansion often begins right after such compression, and the system captures that early shift automatically.
🟣 Short Signal
A short signal represents the opposite scenario, a point where buying momentum weakens after a strong rally, and price begins to revert downward toward equilibrium. When price exits the strong or extreme overbought zones and moves into the mild overbought region, the model detects the start of a bearish mean reversion phase.
Here too, the signal appears without delay, as it is based on the real-time relationship between price and its volatility boundaries rather than on indicator crossovers.
The system identifies these short conditions when upward momentum shows visible fatigue in the volatility bands. The upper bands start to flatten or turn downward while the regression slope begins to lose angle. This is often accompanied by rising ATR readings, showing an expansion in volatility that reflects distribution rather than continuation.
The quality of the short signal is strongly influenced by the interaction between the two trend layers. When both Live Trend and Vision Trend point downward, the likelihood of sustained bearish continuation increases dramatically. However, if they diverge, candle bodies turn hollow, clearly marking zones of conflict or hesitation. These phases often coincide with the end of a bullish impulse wave and the start of an early correction.
A practical example can illustrate this clearly. Imagine a market that has been trending upward for several days with expanding volatility. When price pushes into the extreme overbought zone and starts pulling back into the mild region, the system interprets it as the first sign of distribution. If at the same time the regression moving average flattens and ATR begins to rise, it strongly suggests that institutional participants are taking profit. The generated short signal allows the trader to position early in anticipation of the downward reversion that follows.
The initial stop loss for short trades is calculated above the most recent pivot high, ensuring logical protection based on the structural context. From there, the Trailing Stop Engine automatically tracks the price movement downward, tightening stops as volatility decreases or expanding them during sharp swings to avoid premature exits.
The engine’s dynamic nature makes it suitable for both aggressive scalpers and patient swing traders. Scalpers can set the trailing sensitivity to “Grip” mode for tighter control, while swing traders can use “Glide” mode to capture larger portions of the trend.
Most short signals form right after volatility expansion or liquidity grabs around major highs, classic exhaustion areas where momentum divergence becomes evident. The combination of visual cues (upper band curvature, hollow candles, ATR spikes) provides traders with multiple layers of confirmation before taking action.
In both long and short scenarios, this analytical system replaces emotional decision-making with structured interpretation. By translating volatility, momentum, and price positioning into clear contextual patterns, it empowers the trader to see where reversals are forming in real time rather than guessing after the move has started.
🔵 Setting
🟣 Logical Setting
Channel Period : The main channel period that defines the base moving average used to calculate the central line of the bands. Higher values create a smoother and longer-term structure, while lower values increase short-term sensitivity and faster reactions.
Channel Coefficient Period : The ATR period used to measure volatility for determining the channel width. Higher values provide greater channel stability and reduce reactions to short-term market noise.
Channel Coefficient : The ATR sensitivity factor that defines the distance of the bands from the central average. A higher coefficient widens the bands and increases the probability of detecting overbought or oversold conditions earlier.
Band Smooth Period : The smoothing period applied to the bands to filter minor price noise. Lower values produce quicker reactions to price changes, while higher values create smoother and more stable lines.
Trend Period : The period used in the regression moving average calculation to identify overall trend direction. Shorter values highlight faster trend shifts, while longer values emphasize broader market trends.
Trend Smooth Period : The smoothing period for the regression trend to reduce volatility and confirm the dominant market direction. This setting helps to better distinguish between corrective and continuation phases.
Signals Gap : The time interval between generated signals to prevent consecutive signal clustering. A higher value strengthens the temporal filter and produces more selective and refined signals.
Bars to Calculate : Defines the number of historical candles used in calculations. Limiting this value optimizes script performance and reduces processing load, especially when multiple symbols or timeframes are analyzed simultaneously. Higher values increase analytical depth by including more historical data, while lower values improve responsiveness and reduce potential lag during live chart updates.
Trailing Stop : Enables or disables the dynamic trailing stop engine. When active, the system automatically adjusts stop loss levels based on live volatility and price structure, maintaining alignment with market flow and trend direction.
Trailing Stop Level : Defines the operational mode of the trailing stop engine with four adaptive styles: Grip, Flow, Drift, and Glide. Grip offers tight stop management for scalping and high precision setups, while Glide allows wider flexibility for swing or long-term trades.
Trailing Stop Noise Filter : Applies an additional filtering layer that smooths minor fluctuations and prevents unnecessary stop adjustments caused by short-term market noise or micro volatility.
🟣 Display Settings
Show Trend on Candles : Displays the current trend direction directly on price candles by applying dynamic color coding. When Live Trend and Vision Trend align bullish, candles appear in green tones, while bearish alignment displays in red. If the two trends conflict, candle bodies turn hollow, marking a Trend Conflict Zone that signals potential indecision or upcoming reversal. This feature provides instant visual confirmation of market direction without the need for external indicators
Table on Chart : Allows users to choose whether the analytical table appears directly over the chart or positioned below it. This gives full control over screen layout based on personal workspace preference and chart design.
Number of Symbols : Controls how many symbols are displayed in the screener table, adjustable from 10 up to 20 in steps of 2. This flexibility helps balance between detailed screening and visual clarity on different screen sizes.
Table Mode : Defines how the screener table is visually arranged.
Basic Mode : Displays all symbols in a single column for vertical readability.
Extended Mode : Arranges symbols side by side in pairs to create a more compact and space-efficient layout.
Table Size : Adjusts the visual scaling of the table. Available options include auto, tiny, small, normal, large, and huge, allowing traders to optimize table visibility based on their screen resolution and preferred chart density.
Table Position : Determines the exact placement of the screener table within the chart interface. Users can select from nine available alignments combining top, middle, and bottom vertically with left, center, and right horizontally.
🟣 Symbol Settings
Each of the 10 available symbol slots includes a full range of adjustable parameters for personalized analysis.
Symbol : Defines or selects the asset to be tracked in the screener, such as XAUUSD, BTCUSD, or EURUSD. This enables multi-asset scanning across different markets including forex, commodities, indices, and crypto.
Timeframe : Sets the specific timeframe for analysis for each selected symbol. Examples include 15 minutes, 1 hour (60), 4 hours (240), or 1 day (1D). This flexibility ensures precise control over how each asset is monitored within the multi-timeframe structure.
🟣 Alert Settings
Alert : Enables alerts for AAS.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
Understanding financial markets requires more than indicators, it demands a framework that captures the interaction of price, volatility, and structure in real time. This analytical system achieves that by combining mean reversion logic, volatility mapping, and dynamic supply and demand modeling into an adaptive, data-driven environment. Its computational bands and trend layers visualize market intent, showing when momentum is strengthening, fading, or preparing to shift.
Each signal, derived from statistical equilibrium rather than delayed indicators, reflects the exact moment when the balance between buyers and sellers changes. Variables like Live Trend, Vision Trend, Directional Strength, and ATR-based Volatility Context help traders assess signal quality and alignment across multiple timeframes. The system blends automation with human interpretation, preserving macro-to-micro consistency and enabling confident entries, exits, and stop management through its adaptive Trailing Stop Engine.
Every component, from color-coded zones to hollow candles, forms part of a broader narrative that teaches traders to read the market’s language instead of reacting to it. Built on self-correcting analysis, the framework continuously recalibrates with live data. By transforming volatility, liquidity, and price behavior into structured insight, it empowers traders to move from reaction to prediction, a living ecosystem that evolves with both the market and the trader.
Skrip berbayar
Synapse Dynamics - Market Structure📊 SYNAPSE DYNAMICS - MARKET STRUCTURE INDICATOR
An educational tool for learning and practicing Smart Money Concepts (SMC) methodology through visual representation of institutional price action patterns.
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🎯 WHAT THIS INDICATOR DISPLAYS
This indicator visualizes Smart Money Concepts patterns on your chart:
- Order Blocks (OB) - Supply and demand zones based on institutional order flow theory. The indicator identifies these areas using price action criteria including the final opposing candle before a strong directional move.
- Breaker Blocks - Failed order blocks that may act as support/resistance. These occur when an order block is invalidated but price returns to the zone, potentially reversing its role.
- Fair Value Gaps (FVG) - Three-candle imbalance patterns where price gaps create inefficiencies. The indicator marks these zones for reference in analysis.
- Market Structure - Break of Structure (BOS) and Change of Character (CHoCH) patterns based on swing high/low breaks. These help identify potential trend continuation or reversal points.
- Reference Entry Signals - The indicator calculates potential entry zones with accompanying stop loss and take profit reference levels based on order block and FVG locations. These are for educational reference only.
- Higher Timeframe Context - Optional filter that displays the higher timeframe trend direction to provide additional market context.
- Information Panel - On-screen dashboard showing active reference signals, their status, and relevant price levels.
- Swing Point Mapping - Labels recent higher highs (HH), higher lows (HL), lower highs (LH), and lower lows (LL) based on configurable swing detection parameters.
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⚙️ HOW IT WORKS
The indicator uses the following methodology:
**Order Block Detection:** Identifies the last opposing candle before a strong directional move that breaks structure. Filters blocks by size to reduce noise.
**Market Structure Analysis:** Tracks swing points and identifies when price breaks previous highs/lows to determine BOS or CHoCH patterns.
**Fair Value Gap Identification:** Detects three-candle patterns where candle 1's high/low doesn't overlap with candle 3's low/high, creating an imbalance zone.
**Reference Signal Generation:** Combines order block proximity, FVG presence, and market structure breaks to suggest potential study areas. Optional HTF trend filter can be enabled.
**Timeframe Adaptation:** Automatically adjusts swing detection sensitivity based on the chart timeframe (using multipliers for intraday vs. higher timeframes).
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📚 EDUCATIONAL PURPOSE & IMPORTANT LIMITATIONS
**This indicator is designed as an educational tool for:**
- Learning Smart Money Concepts methodology
- Practicing pattern recognition
- Understanding institutional price action theories
- Analyzing market structure visually
**Critical Understanding:**
- All signals and levels are REFERENCE POINTS for study - not trading recommendations
- The indicator displays patterns based on historical price action - it cannot predict future movements
- Smart Money Concepts is a theoretical framework - market behavior varies
- Backtested or historical results shown do not guarantee future performance
- No indicator can account for all market variables, news events, or changing conditions
**Proper Use:**
This tool is meant to assist in learning technical analysis concepts. Users must develop their own analysis skills, risk management strategies, and trading plans. The displayed patterns require interpretation within broader market context.
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⚙️ CUSTOMIZATION OPTIONS
**Adjustable Parameters:**
- Order Block: Minimum size threshold, maximum count displayed
- Fair Value Gaps: Toggle visibility, maximum count
- Market Structure: Swing detection length, BOS/CHoCH display
- Signals: Entry/SL/TP calculation method, HTF filter toggle
- Visual Settings: Colors, line styles, label sizes, panel position
**Timeframe Compatibility:**
Works on all timeframes from 1-minute to monthly charts. The swing detection automatically scales based on timeframe.
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⚠️ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. Trading involves substantial risk of loss. Past patterns and historical analysis do not indicate future results. Users are responsible for their own trading decisions and risk management. The author assumes no liability for trading losses.
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🔧 ALERT FUNCTIONALITY
Built-in alert conditions notify you when:
- New order blocks are detected
- Market structure changes occur (BOS/CHoCH)
- Reference entry signals appear
Configure alerts through TradingView's alert system.
Demand Supply Zones with MTFDemand Supply Zones with Multi-Timeframe Analysis
Overview:
Advanced institutional demand/supply zone detector with multi-timeframe analysis, proximity alerts, and trend dashboards. Identifies high-probability reversal areas using intelligent base detection and breakout validation across 4 simultaneous timeframes.
Core Unique Features:
• 💎 Elite Base Factor: Auto-detects institutional base patterns using pre-breakout candle body ratio analysis (adjustable 0.1-2.0).
• 🌐 4-Timeframe Zone Detection: Simultaneous MTF zones with individual "👁️ Tested" toggles for granular control - unprecedented in demand/supply indicators.
• 🚨 Proximity Dashboard: Real-time distance tracking to nearest zones (current + all MTF). Visual "APPROACHING!" alerts when price within threshold %.
• 📊 Zone Analytics Dashboard: Live counters for active/tested zones per timeframe with date range display and MTF status tracking.
• 📈 Multi-Timeframe Trend Analysis: 4-TF trend direction
• 🎯 Advanced EMA System: 10 multi-timeframe EMA-20 lines + Golden/Death Cross alerts with customizable styling.
• 📅 Date Range Filter: Performance optimization with calendar-based zone limits (10-500 zones).
• 🧩 Gap Filling: Optional gap bridging between base and leg-out candles for continuous zones.
• 🔐 No Repainting: MTF zones created only on confirmed bars with lookahead bias disabled.
How It Works:
1. Base Detection: Identifies consolidation candles (1-4 consecutive) with customizable body % threshold. Elite mode auto-detects when pre-breakout candle is significantly smaller.
2. Leg-Out Validation: Confirms breakout strength of legout
3. Zone Extension: Projects zones forward (10-500 bars).Fresh zones (green/red) turn gray when tested.
4. MTF Integration: Detects zones from 4 higher timeframes with independent parameters. Each MTF has individual tested zone toggle.
5. Analytics: Proximity dashboard calculates real-time distance to nearest zones. Trend dashboard shows direction across 4 TFs.
Important Notes:
• Educational Purpose: This indicator is for analysis and learning only. Does not guarantee future results.
• Risk Management Required: Always use stop losses and proper position sizing.
• Chart Type: Use standard Candlestick charts. Non-standard charts (Heikin Ashi/Renko) not recommended for accurate zone detection.
• Timeframe Requirements: MTF zones appear only when viewing lower timeframe than selected MTF (e.g., view 1H chart to see Daily MTF zones).
• Performance: Enable Date Range Filter when using multiple MTF timeframes to reduce computational load.
• Past Performance Disclaimer: Historical accuracy does not guarantee future trading results.
⭐ If you find this indicator valuable, please like and share!
SD Demand & Supply IndicatorSD Demand & Supply Indicator automatically identifies and displays demand and supply zones across multiple timeframes.
The indicator detects:
Demand Zones: Drop–Boring–Rally (DBR) and Rally–Boring–Rally (RBR) formations
Supply Zones: Rally–Boring–Drop (RBR) and Drop–Boring–Drop (DBD) formations
When a Demand Zone is detected, it plots a blue Label below the relevant boring candle. When a Supply Zone is detected, it plots a red Label above the relevant boring candle — making it easy to visualize potential reversal areas.
With built-in alert functionality, you can also set alerts on your preferred symbols and timeframes to get instant notifications whenever new Demand or Supply Zones are formed.
How the Script Works?
1. The script scans the price action of three to five consecutive candles to identify potential Demand and Supply patterns based on the open, High, Low and close prices.
2. The script evaluates every candle’s price movement based on set conditions to confirm a valid demand or supply pattern.
3. For demand cases, the script recognizes specific formations such as Drop– Boring –Rally (DBR) and Rally– Boring –Rally (RBR), which indicate potential buying zones.
4. For supply cases, it identifies Rally– Boring –Drop (RBD) and Drop– Boring –Drop (DBD) structures, indicate potential selling zones.
5. When a valid Demand Zone is detected, the script plots a Blue label below the relevant Boring candle.
6. When a valid Supply Zone is found, it plots a Red label above the relevant Boring candle.
7. The script includes an alert feature that notifies users in real-time whenever a valid demand or supply pattern is formed, allowing timely action
How Users can get benefited using this Script?
1. The labels and text plotted by the script help traders visually identify potential entry and exit points.
2. When a valid Demand Zone is detected and the price revisits it, it may indicate a potential bullish reversal.
3. When a valid Supply Zone is detected and the price revisits it, it may indicate a potential bearish reversal.
4. Users can integrate this script with other indicators, fundamental data, or sentiment analysis to confirm signals and make more informed decisions.
5. Traders should use proper risk management strategies, including stop-loss orders to limit losses and targets when the trade moves in their favor.
Settings Explained
1. Boring & Legin Ratio
This is the ratio between the Legin candle and the Boring candle.
A default value of 2 means the Legin candle size (High–Low) is twice the size (High–Low) of the Boring candle.
2. Leg-In & Leg-Out Ratio
This is the ratio of Legin candle and Legout candle.
A default value 2 means the Legout candle size (High-Low) is twice the size (High-Low) of the Legin candle.
3. Leg-In & Three-Leg-Out Ratio
This is the ratio of Legin candle and to the combined size of three Legout candles. A default value 2 means the overall size of the three Legout candles is twice that of the Legin candle.
4. Leg-In Body to Wick Ratio
It is the ratio between the body size of a candle and its total wick length.
A default value of 0.6 means that 60% of the total candle length should be the body.
Zone Selection Filters
1. All Possible Zones
Displays all types of zones, including with or without Clear Area and with or without True Range (TR) vs Average True Range (ATR) criteria
2. All Zones with TR Vs ATR
Shows all zones but with True Range (TR) vs Average True Range (ATR) criteria.
3. Clear Area Zone Only
It will show the Zone with Clear Area and either with or without TR Vs ATR compliance
Clear Area Zone – is considered when the body of the Legout candle does not overlap the Boring candle. In other words, the right side of the Boring candle area remains completely free
4. Clear Area Zone with TR vs ATR Compliance
It will show the Zone with Clear Area and with TR Vs ATR compliance
Note: No. 1 and 2 is suitable for Forex, and crypto market segment
No. 3 and 4 is suitable for commodity and stock market segment
What is TR Vs ATR Criteria?
TR (True Range) vs ATR (Average True Range) criteria is used to validate the strength of a Demand or Supply Zone and it is very important criteria.
For Legin Candle (first candle of the pattern from left) — TR value should be greater than the ATR value.
For Boring Candle (second candle of the pattern from left) — TR value should be smaller than the ATR value.
For Legout Candle (third ,fourth & fifth candle of the pattern from left) — TR value should again be greater than the ATR value,
Important:
Due to the high calculation effort, the history is limited to maximum 10 Zones in total. All zones prior to that will not be displayed so that chart remain clear. Once our indicator has started displaying a Zone, then zone will be visible until it exceeds maximum 10 Zone history. This indicator does not repaint. All signals remain fixed once a candle closes.
What Makes this Indicator Unique?
The Smart Dude Indicator stands out because it doesn’t just mark Demand and Supply Zones — it qualifies them using advanced candle behavior and volatility analysis by using TR Vs ATR analysis .
Unlike typical zone indicators that rely only on price structure, Smart Dude combines candle-to-candle ratio logic with TR vs ATR criteria
Why traders use this indicator?
This strategy is already being used by many experienced traders, including some of my close trading associates. They’ve seen results and even encouraged me to publish it so that more traders can benefit from it. The indicator combines key elements like candle ratio and TR vs ATR criteria, giving users a structured and reliable way to identify zones.
How this Indicator Is Original?
The Smart Dude Indicator is a fully original work — designed and coded from scratch with a unique logic structure.
It is not copied or derived from any existing open-source script.
Key points that make it unique and original:
Exclusive Candle Ratio Logic
TR vs ATR Integration
Clear Area Detection
Fully Hand-Written Logic
Every condition — from candle identification to ratio calculation and plotting — has been manually coded line by line without importing or modifying any existing public logic.
Disclaimer:
This indicator is only for educational purposes and that highlights potential market opportunities. It should not be treated as financial or investment advice.
Trading in financial markets involves risk. The indicator is designed to assist you in making more informed decisions but outcomes depend on your due intelligence and zone validation skills
Previous Day & Week High/Low LevelsPrevious Day & Week High/Low Levels is a precision tool designed to help traders easily identify the most relevant price levels that often act as strong support or resistance areas in the market. It automatically plots the previous day’s and week’s highs and lows, as well as the current day’s developing internal high and low. These levels are crucial reference points for intraday, swing, and even position traders who rely on price action and liquidity behavior.
Key Features
Previous Day High/Low:
The indicator automatically draws horizontal lines marking the highest and lowest prices from the previous trading day.
These levels are widely recognized as potential zones where the market may react again — either rejecting or breaking through them.
Previous Week High/Low:
The script also tracks and displays the high and low from the last completed trading week.
Weekly levels tend to represent stronger liquidity pools and broader institutional zones, which makes them especially important when aligning higher timeframe context with lower timeframe entries.
Internal Daily High/Low (Real-Time Tracking):
While the day progresses, the indicator dynamically updates the current day’s internal high and low.
This allows traders to visualize developing market structure, identify intraday ranges, and anticipate potential breakouts or liquidity sweeps.
Multi-Timeframe Consistency:
All levels — daily and weekly — remain visible across any chart timeframe, from 1 minute to 1 day or higher.
This ensures traders can maintain perspective and avoid losing track of key zones when switching views.
Customizable Visuals:
The colors, line thickness, and label visibility can be easily adjusted to match personal charting preferences.
This makes the indicator adaptable to any trading style or layout, whether minimalistic or detailed.
How to Use
Identify Key Reaction Zones:
Observe how price interacts with the previous day and week levels. Rejections, consolidations, or clean breakouts around these lines often signal strong liquidity areas or potential directional moves.
Combine with Market Structure or Liquidity Concepts:
The indicator works perfectly with supply and demand analysis, liquidity sweeps, order block strategies, or simply classic support/resistance techniques.
Scalping and Intraday Trading:
On lower timeframes (1m–15m), the daily levels help identify intraday turning points.
On higher timeframes (1h–4h or daily), the weekly levels provide broader context and directional bias.
Risk Management and Planning:
Using these levels as reference points allows for more precise stop placement, target setting, and overall trade management.
Why This Indicator Helps
Markets often react strongly around previous highs and lows because these zones contain trapped liquidity, pending orders, or institutional decision points.
By having these areas automatically mapped out, traders gain a clear and objective view of where price is likely to respond — without needing to manually draw lines every day or week.
Whether you’re a beginner still learning about price structure, or an advanced trader refining entries within liquidity zones, this tool simplifies the process and keeps your charts clean, consistent, and data-driven.
Two-Part Supply & Demand Zones with Role ReversalWill show demand and supply with boxes
Once a zone is used it will be removed to keep the chart clean
Trend Fib Zone Bounce (TFZB) [KedArc Quant]Description:
Trend Fib Zone Bounce (TFZB) trades with the latest confirmed Supply/Demand zone using a single, configurable Fib pullback (0.3/0.5/0.6). Trade only in the direction of the most recent zone and use a single, configurable fib level for pullback entries.
• Detects market structure via confirmed swing highs/lows using a rolling window.
• Draws Supply/Demand zones (bearish/bullish rectangles) from the latest MSS (CHOCH or BOS) event.
• Computes intra zone Fib guide rails and keeps them extended in real time.
• Triggers BUY only inside bullish zones and SELL only inside bearish zones when price touches the selected fib and closes back beyond it (bounce confirmation).
• Optional labels print BULL/BEAR + fib next to the triangle markers.
What it does
Finds structure using confirmed swing highs/lows (you choose the confirmation length).
Builds the latest zone (bullish = demand, bearish = supply) after a CHOCH/BOS event.
Draws intra-zone “guide rails” (Fib lines) and extends them live.
Signals only with the trend of that zone:
BUY inside a bullish zone when price tags the selected Fib and closes back above it.
SELL inside a bearish zone when price tags the selected Fib and closes back below it.
Optional labels print BULL/BEAR + Fib next to triangles for quick context
Why this is different
Most “zone + fib + signal” tools bolt together several indicators, or fire counter-trend signals because they don’t fully respect structure. TFZB is intentionally minimal:
Single bias source: the latest confirmed zone defines direction; nothing else overrides it.
Single entry rule: one Fib bounce (0.3/0.5/0.6 selectable) inside that zone—no counter-trend trades by design.
Clean visuals: you can show only the most recent zone, clamp overlap, and keep just the rails that matter.
Deterministic & transparent: every plot/label comes from the code you see—no external series or hidden smoothing
How it helps traders
Cuts decision noise: you always know the bias and the only entry that matters right now.
Forces discipline: if price isn’t inside the active zone, you don’t trade.
Adapts to volatility: pick 0.3 in strong trends, 0.5 as the default, 0.6 in chop.
Non-repainting zones: swings are confirmed after Structure Length bars, then used to build zones that extend forward (they don’t “teleport” later)
How it works (details)
*Structure confirmation
A swing high/low is only confirmed after Structure Length bars have elapsed; the dot is plotted back on the original bar using offset. Expect a confirmation delay of about Structure Length × timeframe.
*Zone creation
After a CHOCH/BOS (momentum shift / break of prior swing), TFZB draws the new Supply/Demand zone from the swing anchors and sets it active.
*Fib guide rails
Inside the active zone TFZB projects up to five Fib lines (defaults: 0.3 / 0.5 / 0.7) and extends them as time passes.
*Entry logic (with-trend only)
BUY: bar’s low ≤ fib and close > fib inside a bullish zone.
SELL: bar’s high ≥ fib and close < fib inside a bearish zone.
*Optionally restrict to one signal per zone to avoid over-trading.
(Optional) Aggressive confirm-bar entry
When do the swing dots print?
* The code confirms a swing only after `structureLen` bars have elapsed since that candidate high/low.
* On a 5-min chart with `structureLen = 10`, that’s about 50 minutes later.
* When the swing confirms, the script plots the dot back on the original bar (via `offset = -structureLen`). So you *see* the dot on the old bar, but it only appears on the chart once the confirming bar arrives.
> Practical takeaway: expect swing markers to appear roughly `structureLen × timeframe` later. Zones and signals are built from those confirmed swings.
Best timeframe for this Indicator
Use the timeframe that matches your holding period and the noise level of the instrument:
* Intraday :
* 5m or 15m are the sweet spots.
* Suggested `structureLen`:
* 5m: 10–14 (confirmation delay \~50–70 min)
* 15m: 8–10 (confirmation delay \~2–2.5 hours)
* Keep Entry Fib at 0.5 to start; try 0.3 in strong trends, 0.6 in chop.
* Tip: avoid the first 10–15 minutes after the open; let the initial volatility set the early structure.
* Swing/overnight:
* 1h or 4h.
* `structureLen`:
* 1h: 6–10 (6–10 hours confirmation)
* 4h: 5–8 (20–32 hours confirmation)
* 1m scalping: not recommended here—the confirmation lag relative to the noise makes zones less reliable.
Inputs (all groups)
Structure
• Show Swing Points (structureTog)
o Plots small dots on the bar where a swing point is confirmed (offset back by Structure Length).
• Structure Length (structureLen)
o Lookback used to confirm swing highs/lows and determine local structure. Higher = fewer, stronger swings; lower = more reactive.
Zones
• Show Last (zoneDispNum)
o Maximum number of zones kept on the chart when Display All Zones is off.
• Display All Zones (dispAll)
o If on, ignores Show Last and keeps all zones/levels.
• Zone Display (zoneFilter): Bullish Only / Bearish Only / Both
o Filters which zone types are drawn and eligible for signals.
• Clean Up Level Overlap (noOverlap)
o Prevents fib lines from overlapping when a new zone starts near the previous one (clamps line start/end times for readability).
Fib Levels
Each row controls whether a fib is drawn and how it looks:
• Toggle (f1Tog…f5Tog): Show/hide a given fib line.
• Level (f1Lvl…f5Lvl): Numeric ratio in . Defaults active: 0.3, 0.5, 0.7 (0 and 1 off by default).
• Line Style (f1Style…f5Style): Solid / Dashed / Dotted.
• Bull/Bear Colors (f#BullColor, f#BearColor): Per-fib color in bullish vs bearish zones.
Style
• Structure Color: Dot color for confirmed swing points.
• Bullish Zone Color / Bearish Zone Color: Rectangle fills (transparent by default).
Signals
• Entry Fib for Signals (entryFibSel): Choose 0.3, 0.5 (default), or 0.6 as the trigger line.
• Show Buy/Sell Signals (showSignals): Toggles triangle markers on/off.
• One Signal Per Zone (oneSignalPerZone): If on, suppresses additional entries within the same zone after the first trigger.
• Show Signal Text Labels (Bull/Bear + Fib) (showSignalLabels): Adds a small label next to each triangle showing zone bias and the fib used (e.g., BULL 0.5 or BEAR 0.3).
How TFZB decides signals
With trend only:
• BUY
1. Latest active zone is bullish.
2. Current bar’s close is inside the zone (between top and bottom).
3. The bar’s low ≤ selected fib and it closes > selected fib (bounce).
• SELL
1. Latest active zone is bearish.
2. Current bar’s close is inside the zone.
3. The bar’s high ≥ selected fib and it closes < selected fib.
Markers & labels
• BUY: triangle up below the bar; optional label “BULL 0.x” above it.
• SELL: triangle down above the bar; optional label “BEAR 0.x” below it.
Right-Panel Swing Log (Table)
What it is
A compact, auto-updating log of the most recent Swing High/Low events, printed in the top-right of the chart.
It helps you see when a pivot formed, when it was confirmed, and at what price—so you know the earliest bar a zone-based signal could have appeared.
Columns
Type – Swing High or Swing Low.
Date – Calendar date of the swing bar (follows the chart’s timezone).
Swing @ – Time of the original swing bar (where the dot is drawn).
Confirm @ – Time of the bar that confirmed that swing (≈ Structure Length × timeframe after the swing). This is also the earliest moment a new zone/entry can be considered.
Price – The swing price (high for SH, low for SL).
Why it’s useful
Clarity on repaint/confirmation: shows the natural delay between a swing forming and being usable—no guessing.
Planning & journaling: quick reference of today’s pivots and prices for notes/backtesting.
Scanning intraday: glance to see if you already have a confirmed zone (and therefore valid fib-bounce entries), or if you’re still waiting.
Context for signals: if a fib-bounce triangle appears before the time listed in Confirm @, it’s not a valid trade (you were too early).
Settings (Inputs → Logging)
Log swing times / Show table – turn the table on/off.
Rows to keep – how many recent entries to display.
Show labels on swing bar – optional tags on the chart (“Swing High 11:45”, “Confirm SH 14:15”) that match the table.
Recommended defaults
• Structure Length: 10–20 for intraday; 20–40 for swing.
• Entry Fib for Signals: 0.5 to start; try 0.3 in stronger trends and 0.6 in choppier markets.
• One Signal Per Zone: ON (prevents over trading).
• Zone Display: Both.
• Fib Lines: Keep 0.3/0.5/0.7 on; turn on 0 and 1 only if you need anchors.
Alerts
Two alert conditions are available:
• BUY signal – fires when a with trend bullish bounce at the selected fib occurs inside a bullish zone.
• SELL signal – fires when a with trend bearish bounce at the selected fib occurs inside a bearish zone.
Create alerts from the chart’s Alerts panel and select the desired condition. Use Once Per Bar Close to avoid intrabar flicker.
Notes & tips
• Swing dots are confirmed only after Structure Length bars, so they plot back in time; zones built from these confirmed swings do not repaint (though they extend as new bars form).
• If you don’t see a BUY where you expect one, check: (1) Is the active zone bullish? (2) Did the candle’s low actually pierce the selected fib and close above it? (3) Is One Signal Per Zone suppressing a second entry?
• You can hide visual clutter by reducing Show Last to 1–3 while keeping Display All Zones off.
Glossary
• CHOCH (Change of Character): A shift where price breaks beyond the last opposite swing while local momentum flips.
• BOS (Break of Structure): A cleaner break beyond the prior swing level in the current momentum direction.
• MSS: Either CHOCH or BOS – any event that spawns a new zone.
Extension ideas (optional)
• Add fib extensions (1.272 / 1.618) for target lines.
• Zone quality score using ATR normalization to filter weak impulses.
• HTF filter to only accept zones aligned with a higher timeframe trend.
⚠️ Disclaimer This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Smarter Money Concepts Dashboard [PhenLabs]📊Smarter Money Concepts Dashboard
Version: PineScript™v6
📌Description
The Smarter Money Concepts Dashboard is a comprehensive institutional trading analysis tool that combines six of our most powerful smarter money concepts indicators into one unified suite. This advanced system automatically detects and visualizes Fair Value Gaps, Inverted FVGs, Order Blocks, Wyckoff Springs/Upthrusts, Wick Rejection patterns, and ICT Market Structure analysis.
Built for serious traders who need institutional-grade market analysis, this dashboard eliminates subjective interpretation by automatically identifying where smart money is likely positioned. The integrated real-time dashboard provides instant status updates on all active patterns, making it easy to monitor market conditions at a glance.
🚀Points of Innovation
● Multi-Module Integration: Six different SMC concepts unified in one comprehensive system
● Real-Time Dashboard Display: Live tracking of all active patterns with customizable positioning
● Advanced Volume Filtering: Institutional volume confirmation across all pattern types
● Automated Pattern Management: Smart memory system prevents chart clutter while maintaining relevant zones
● Probability-Based Wyckoff Detection: Mathematical probability calculations for spring/upthrust patterns
● Dual FVG System: Both standard and inverted Fair Value Gap detection with equilibrium analysis
🔧Core Components
● Fair Value Gap Engine: Detects standard FVGs with volume confirmation and equilibrium line analysis
● Inverted FVG Module: Advanced IFVG detection using RVI momentum filtering for inversion confirmation
● Order Block System: Institutional order block identification with customizable mitigation methods
● Wyckoff Pattern Recognition: Automated spring and upthrust detection with probability scoring
● Wick Rejection Analysis: High-probability reversal patterns based on wick-to-body ratios
● ICT Market Structure: Simplified institutional concepts with commitment tracking
🔥Key Features
● Comprehensive Pattern Detection: All major SMC concepts in one indicator with automatic identification
● Volume-Confirmed Signals: Multiple volume filters ensure only institutional-grade patterns are highlighted
● Interactive Dashboard: Real-time status display with active pattern counts and module status
● Smart Memory Management: Automatic cleanup of old patterns while preserving relevant market zones
● Full Alert System: Complete notification coverage for all pattern types and signal generations
● Customizable Display Options: Adjustable colors, transparency, and positioning for all visual elements
🎨Visualization
● Color-Coded Zones: Distinct color schemes for bullish/bearish patterns across all modules
● Dynamic Box Extensions: Automatically extending zones until mitigation or invalidation
● Equilibrium Lines: Fair Value Gap midpoint analysis with dotted line visualization
● Signal Markers: Clear spring/upthrust signals with directional arrows and probability indicators
● Dashboard Table: Professional-grade status panel with module activation and pattern counts
● Candle Coloring: Wick rejection highlighting with transparency-based visual emphasis
📖Usage Guidelines
Fair Value Gap Settings
● Days to Analyze: Default 15, Range 1-100 - Controls historical FVG detection period
● Volume Filter: Enables institutional volume confirmation for gap validity
● Min Volume Ratio: Default 1.5 - Minimum volume spike required for gap recognition
● Show Equilibrium Lines: Displays FVG midpoint analysis for precise entry targeting
Order Block Configuration
● Scan Range: Default 25 bars - Lookback period for structure break identification
● Volume Filter: Institutional volume confirmation for order block validation
● Mitigation Method: Wick or Close-based invalidation for different trading styles
● Min Volume Ratio: Default 1.5 - Volume threshold for significant order block formation
Wyckoff Analysis Parameters
● S/R Lookback: Default 20 - Support/resistance calculation period for spring/upthrust detection
● Volume Spike Multiplier: Default 1.5 - Required volume increase for pattern confirmation
● Probability Threshold: Default 0.7 - Minimum probability score for signal generation
● ATR Recovery Period: Default 5 - Price recovery calculation for pattern strength assessment
Market Structure Settings
● Auto-Detect Zones: Automatic identification of high-volume thin zones
● Proximity Threshold: Default 0.20% - Price proximity requirements for zone interaction
● Test Window: Default 20 bars - Time period for zone commitment calculation
Display Customization
● Dashboard Position: Four corner options for optimal chart layout
● Text Size: Scalable from Tiny to Large for different screen configurations
● Pattern Colors: Full customization of all bullish and bearish zone colors
✅Best Use Cases
● Swing Trading: Identify major institutional zones for multi-day position entries
● Day Trading: Precise intraday entries at Fair Value Gaps and Order Block boundaries
● Trend Analysis: Market structure confirmation for directional bias establishment
● Risk Management: Clear invalidation levels provided by all pattern boundaries
● Multi-Timeframe Analysis: Works across all timeframes from 1-minute to monthly charts
⚠️Limitations
● Market Condition Dependency: Performance varies between trending and ranging market environments
● Volume Data Requirements: Requires accurate volume data for optimal pattern confirmation
● Lagging Nature: Some patterns confirmed after initial price movement has begun
● Pattern Density: High-volatility markets may generate excessive pattern signals
● Educational Tool: Requires understanding of smart money concepts for effective application
💡What Makes This Unique
● Complete SMC Integration: First indicator to combine all major smart money concepts comprehensively
● Real-Time Dashboard: Instant visual feedback on all active institutional patterns
● Advanced Volume Analysis: Multi-layered volume confirmation across all detection modules
● Probability-Based Signals: Mathematical approach to Wyckoff pattern recognition accuracy
● Professional Memory Management: Sophisticated pattern cleanup without losing market relevance
🔬How It Works
1. Pattern Detection Phase:
● Multi-timeframe scanning for institutional footprints across all enabled modules
● Volume analysis integration confirms patterns meet institutional trading criteria
● Real-time pattern validation ensures only high-probability setups are displayed
2. Signal Generation Process:
● Automated zone creation with precise boundary definitions for each pattern type
● Dynamic extension system maintains relevance until mitigation or invalidation occurs
● Alert system activation provides immediate notification of new pattern formations
3. Dashboard Update Cycle:
● Live status monitoring tracks all active patterns and module states continuously
● Pattern count updates provide instant feedback on current market condition density
● Commitment tracking for market structure analysis shows institutional engagement levels
💡Note:
This indicator represents institutional trading concepts and should be used as part of a comprehensive trading strategy. Pattern recognition accuracy improves with understanding of smart money principles. Combine with proper risk management and multiple confirmation methods for optimal results.
Demand & Supply Smart Zones (Riz)A professional zone engine that detects, ranks, and maintains Supply and Demand areas across multiple timeframes. It combines swing structure, engulfing/imbalance logic, optional liquidity-sweep validation, and trend/volume filters. Zones are refined, merged, aged, and removed automatically, while a dashboard and mini-map summarize the state of the market at a glance.
How it works (why this isn’t a simple mashup)
⦁ Zone Detection (Auto/Manual/Hybrid):
⦁ Auto finds zones from three independent catalysts: swing turns, engulfing patterns, and imbalance candles.
⦁ Manual lets you define a zone precisely (top/bottom + type).
⦁ Hybrid adds your manual zones on top of the model’s detections.
⦁ Strength Model: Each zone receives a score using ATR-scaled size, relative volume (vs SMA), timeframe weight (higher TF = more authority), and session context (optional Killzone boost). This surfaces the most actionable areas rather than plotting everything.
⦁ Filters for Quality (Conservative/Aggressive):
⦁ Conservative can require trend alignment (EMA), volume validation, wide-body candles, structure context, and optional liquidity sweep checks.
⦁ Aggressive relaxes filters for faster, more frequent zones (e.g., scalping).
⦁ Refinement & Styling: Zones can be refined by wick, body, or hybrid logic to avoid over-sized regions. Visuals support solid/gradient/border styles, fresh/retest labels, and a heat-map emoji for strength.
⦁ Lifecycle Management: Zones can auto-delete on touch, delete on break, shrink on retests, expire after X bars, and cap retests. Old/merged zones are cleaned up to keep charts responsive.
⦁ Multi-Timeframe (MTF) Logic: Detects and optionally normalizes HTF zones (e.g., 60/240/D). Overlapping zones are merged across TFs with the higher TF taking precedence and receiving a small strength bonus. This prevents duplication and emphasizes institutional levels.
⦁ Proximity & Interaction Alerts: Alerts can fire on approach, first entry, and break, with separate Supply/Demand variants and per-TF options. An internal tracker avoids duplicate alert spam.
On-chart tools
⦁ Zones: Supply (red) / Demand (green), with “Fresh” or “R#” labels and strength heat-map.
⦁ Dashboard: Counts zones per TF, shows nearest supply/demand (in pips), trend state, and mode.
⦁ Mini-Map: A compact list of the 10 closest zones with TF, freshness, strength, and distance.
⦁ Trend Line (optional): EMA for directional context.
⦁ Killzone Background (optional): Session emphasis for timing.
Inputs & Key Options
⦁ Detection Mode: Auto · Manual · Hybrid
⦁ Strictness: Aggressive (more zones) · Conservative (fewer, higher quality)
⦁ Catalysts: Engulfing, Imbalance (ATR + volume threshold), Swing strength
⦁ Filters: Volume multiplier, wide-body %, trend EMA, structure checks, liquidity sweep lookback
⦁ MTF: Up to 3 higher TFs, with normalization to prevent oversized zones and priority stacking
⦁ Management: Auto-delete on touch, delete on break, dynamic shrinking, expiry bars, max retests
⦁ Merging: Overlap threshold and cross-TF consolidation
⦁ Alerts: Proximity (distance in pips), First Entry (fresh touch), Break, per-TF toggles
⦁ Display: Labels, size, heat-map, merging tags, dashboard position, mini-map
How to use
1. Choose Strictness
⦁ Conservative for swing/HTF traders who prefer cleaner, stronger zones.
⦁ Aggressive for scalpers who want earlier, more frequent levels.
2. Enable MTF and set HTF1/HTF2(/HTF3). Turn on Normalization to avoid giant HTF boxes.
3. Pick Catalysts & Filters. Start with Engulfing + Imbalance + Swing. Add volume/EMA/liquidity filters for quality.
4. Watch the Dashboard: It highlights mode, counts per TF, nearest zones (with distance), and overall trend.
5. Trade the Interaction:
⦁ Proximity alert → prepare;
⦁ First entry (fresh touch) → your confirmation rules;
⦁ Break → consider flips or invalidation.
6. Manual Zones (Hybrid): Add precise institutional levels and let the engine manage them (shrink, expire, merge).
Alerts (titles you’ll see)
⦁ Zone Proximity – approach within X pips
⦁ Zone Entry / Supply Zone Entry / Demand Zone Entry – first touch
⦁ Zone Break / Supply Zone Break / Demand Zone Break – clean break
⦁ Current TF / HTF1 / HTF2 Zone Alert – timeframe-specific triggers
⦁ Any Zone Alert – catch-all for any interaction
Notes & Tips
⦁ Fresh > Retested: First touches generally score better and are labeled accordingly.
⦁ Context Matters: Combining HTF zones with trend and volume filters significantly improves selectivity.
⦁ Performance: Zone limits and periodic cleanup are built in. If you plot many HTFs with Aggressive mode, consider raising strictness or lowering max zones.
Disclaimer
This tool is for educational and analytical purposes only. It does not constitute financial advice, nor does it guarantee outcomes. Trading involves risk; use proper risk management and your own judgment.
Key Levels: Daily, Weekly, Monthly [BackQuant]Key Levels: Daily, Weekly, Monthly
Map the market’s “memory” in one glance—yesterday’s range, this week’s chosen day high/low, and D/W/M opens—then auto-clean levels once they break.
What it does
This tool plots three families of high-signal reference lines and keeps them tidy as price evolves:
Chosen Day High/Low (per week) — Pick a weekday (e.g., Monday). For each past week, the script records that day’s session high and low and projects them forward for a configurable number of bars. These act like “memory levels” that price often revisits.
Daily / Weekly / Monthly Opens — Plots the opening price of each new day, week, and month with separate styling. These opens frequently behave like magnets/flip lines intraday and anchors for regime on higher timeframes.
Auto-pruning — When price breaks a stored level, the script can automatically remove it to reduce clutter and refocus you on still-active lines. See: (broken levels removed).
Why these levels matter
Liquidity pockets — Prior day’s high/low and the daily open concentrate stops and pending orders. Mapping them quickly reveals likely sweep or fade zones. Example: previous day highs + daily open highlighting liquidity:
Context & regime — Monthly opens frame macro bias; trading above a rising cluster of monthly opens vs. below gives a clean top-down read. Example: monthly-only “macro outlook” view:
Cleaner charts — Auto-remove broken lines so you focus on what still matters right now.
What it plots (at a glance)
Past Chosen Day High/Low for up to N prior weeks (your choice), extended right.
Current Daily Open , Weekly Open , and Monthly Open , each with its own color, label, and forward extension.
Optional short labels (e.g., “Mon High”) or full labels (with week/month info).
How breaks are detected & cleaned
You control both the evidence and the timing of a “break”:
Break uses — Choose Close (more conservative) or Wick (more sensitive).
Inclusive? — If enabled, equality counts (≥ high or ≤ low). If disabled, you need a strict cross.
Allow intraday breaks? — If on, a level can break during the tracked day; if off, the script only counts breaks after the session completes.
Remove Broken Levels — When a break is confirmed, the line/label is deleted automatically. (See the demo: )
Quick start
Pick a Day of Week to Track (e.g., Monday).
Set how many weeks back to show (e.g., 8–10).
Choose how far to extend each family (bars to the right for chosen-day H/L and D/W/M opens).
Decide if a break uses Close or Wick , and whether equality counts.
Toggle Remove Broken Levels to keep the chart clean automatically.
Tips by use-case
Intraday bias — Watch the Daily Open as a magnet/flip. If price gaps above and holds, pullbacks to the daily open often decide direction. Pair with last day’s high/low for sweep→reversal or true breakout cues. See:
Weekly structure — Track the week’s chosen day (e.g., Monday) high/low across prior weeks. If price stalls near a cluster of old “Monday Highs,” look for sweep/reject patterns or continuation on reclaim.
Macro regime — Hide daily/weekly lines and keep only Monthly Opens to read bigger cycles at a glance (BTC/crypto especially). Example:
Customization
Use wicks or bodies for highs/lows (wicks capture extremes; bodies are stricter).
Line style & thickness — solid/dashed/dotted, width 1–5, plus global transparency.
Labels — Abbreviated (“Mon High”, “D Open”) or full (month/week/day info).
Color scheme — Separate colors for highs, lows, and each of D/W/M opens.
Capacity controls — Set how many daily/weekly/monthly opens and how many weeks of chosen-day H/L to keep visible.
What’s under the hood
On your selected weekday, the script records that session’s true high and true low (using wicks or body-based extremes—your choice), then projects a horizontal line forward for the next bars.
At each new day/week/month , it records the opening price and projects that line forward as well.
Each bar, the script checks your “break” rules; once broken, lines/labels are removed if auto-cleaning is on.
Everything updates in real time; past levels don’t repaint after the session finishes.
Recommended presets
Day trading — Weeks back: 6–10; extend D/W opens: 50–100 bars; Break uses: Close ; Inclusive: off; Auto-remove: on.
Swing — Fewer daily opens, more weekly opens (2–6), and 8–12 weeks of chosen-day H/L.
Macro — Show only Monthly Opens (1–6 months), dashed style, thicker lines for clarity.
Reading the examples
Broken lines disappear — decluttering in action:
Macro outlook — monthly opens as cycle rails:
Liquidity map — previous day highs + daily open:
Final note
These are not “signals”—they’re reference points that many participants watch. By standardising how you draw them and automatically clearing the ones that no longer matter, you turn a noisy chart into a focused map: where liquidity likely sits, where price memory lives, and which lines are still in play.
Multi TF - HTF→LTF OrderblocksMulti TF — HTF→LTF Orderblocks
Identify higher-timeframe (HTF) order blocks and project them onto your lower-timeframe (LTF) chart—clean, fast, and publication-ready.
The script automatically detects swing breaks on your chosen HTF, builds the originating order block, and renders that zone on your current chart so you can execute on lower timeframes with higher-timeframe context.
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How it works
HTF swing structure is tracked via pivot highs/lows and a user-selected break confirmation (Close or Wick).
On a valid break, the script backtracks to the last opposite candle and creates the HTF order block (wick-to-wick or body-only depending on your setting).
The OB is projected to the LTF and extended bar-by-bar until:
Mitigation: price penetrates at least 50% of the zone → the box is marked “old” (dimmed) or optionally auto-deleted.
Close-break: price closes beyond the far edge → zone is optionally removed immediately.
Each zone includes a centerline and an inside label showing the original HTF (e.g., “M15”, “H1”).
Key features
True HTF→LTF overlay: trade M1/M5 with M15/H1/H4 context.
Mitigation logic (≥50%): first meaningful touch turns the zone “old” or deletes it (your choice).
Close-break handling: auto-remove zones broken by close, to keep charts clean.
Overlap control: choose how to handle overlapping zones on the same side:
Keep Latest, Union (merge), or Intersection (refine).
Wicks vs. Bodies: build zones from full candle range or just the body.
Lightweight UI: only the relevant inputs in the panel; sensible defaults.
Alert included: fires on the first 50% mitigation of any fresh zone.
Performance-friendly limits: cap the number of active zones to fit Pine limits.
Inputs (quick overview)
HTF for Order Blocks: timeframe to scan (e.g., 15, 60, 240, D).
Swing Length (Pivot L/R): pivot sensitivity for structure.
Break Confirmation: Close (recommended) or Wick.
Zones use Wicks: on/off for wick-to-wick zones.
OB Lookback before Break: how far to search for the opposite candle.
Max Active Zones: hard cap for chart cleanliness & performance.
Delete on Close-Break: remove zones that are invalidated by a close.
Delete after Mitigation: remove once a 50% touch occurs.
Handle Overlap: None, Keep Latest, Union (merge), Intersection (refine).
Colors & Border: fresh/old zone colors (default ~35% opacity) and optional borders.
Default profile (as shipped):
Break by Close, zones use wicks, Union overlap handling, 250 lookback, 250 max zones, borders off, and HTF label printed inside each zone.
How to use (suggested workflow)
Pick an HTF (e.g., H1 for intraday) and drop to your execution TF (e.g., M5/M1).
Wait for price to tap ≥50% of a fresh OB → look for your LTF trigger (CHOCH, iFVG, PA).
Place SL beyond the zone (or beyond the LTF swing) and manage to your targets (e.g., 2R–3R or to the next HTF OB).
Keep charts clean by enabling Delete on Close-Break and (optionally) Delete after Mitigation.
Alerts
“OB: Zone berührt (Erstkontakt)” — triggers on the first ≥50% mitigation of any fresh zone.
Create additional TradingView alerts with this condition to get notified in real time.
Notes & limitations
Built with request.security(..., lookahead_off) to avoid future-bar peeking; zones only form after a confirmed HTF break.
As with all pattern-based tools, use alongside your risk management and a defined entry model.
Pine has strict limits on drawings; use Max Active Zones to balance coverage and performance.
Credits
Designed for traders who want HTF precision with LTF execution—a clean, opinionated OB overlay that focuses on what matters: fresh zones, first touch, and invalidation.
S&D Elite Pro Timing V4S&D Pro Elite — Pro Timing (PT)
A clean, signal-first Supply & Demand tool that maps institutional-style zones and prints a compact PT (Pro Timing) label only when a timing setup forms inside an active zone. Minimal UI, no clutter—just zones and timing where they matter.
Why
Some zones hold, some don’t. The trader’s job is to reduce noise. This tool is built to elevate signal-to-noise, remove distractions, and focus execution on the most structured areas of price.
What it does
Maps Supply & Demand zones across multiple timeframes with optional Quality Score (0–100) and opacity tinting.
Pro structures (Rally-Base-Rally / Drop-Base-Drop) via ATR-based impulse/continuation and a tight-base check.
PT labels (buy/sell) appear only when a Pro Timing setup forms in the zone (you choose what “inside” means: close inside / any overlap / wick only / full-body inside).
Mitigation-aware: optionally stop reacting to a zone after any touch, body touch, or a minimum penetration %.
One-switch control: Show Pro Zones master toggle, plus per-TF switches (3m…Weekly).
Alerts: PT Buy / PT Sell.
PT = Pro Timing
A compact price-timing confirmation detected when specific price-action conditions align within an S&D zone. Presented as a single, clean label—no counts or numerals.
How it works (brief)
Zone detection: impulse → base → continuation using ATR thresholds and base compactness; optional rule that the base sits inside the impulse range. Zones project right; broken zones auto-remove.
Quality Score: weighted blend of impulse strength, base tightness, and continuation body, with an inside-base bonus. You can filter out low-score zones and/or tint opacity by quality.
PT inside the zone: the PT label prints only when price meets your chosen zone-touch mode and the internal timing criteria.
Repainting
Forming Zones ON: boxes may change while the higher-TF candle is open (early heads-up by design).
Forming Zones OFF: zones and PT labels use confirmed data for the selected timeframes.
Settings (at a glance)
Pro Zone Options: Show Pro Zones (master), Forming Zones, per-TF toggles (3m…Weekly), Force Lower-TF Aggregation (1m base).
RBR/DBD Filter: Impulse min body × ATR(14), Base max body % of impulse, Base inside prior impulse (on/off), Continuation min body × ATR(14).
Quality Score: toggle, min score filter, opacity tint, adjustable weights (Impulse / Base / Continuation) + inside-base bonus.
PT × Zone Filter: Only show inside zones; trigger mode (Close inside / Overlap / Wick only / Body inside); stop after mitigation (Any touch / Body / Penetration ≥ %).
Visuals: Buy/Sell label colors + text colors; optional text inside zones (TF label, quality).
Recommended starting values
Zone Difference Scale: 1.6–2.0
Impulse min body × ATR: 1.6
Base max body %: 0.40–0.60
Continuation min body × ATR: 1.0–1.2
Min Quality Score: 60
Touch mode: Overlap (any part) for discovery; then tighten to Body inside or Wick only.
Usage tips
Start with 15m / 1h / 4h to build the backbone, add LTFs once structure is clear, and treat PT as timing confirmation inside structure—combine with trend/session/context and manage risk.
Nifty Smart Zones & Breakout Bars(5min TF only) by Chaitu50cNifty Smart Zones & Breakout Bars is a purpose-built intraday trading tool, tested extensively on Nifty50 and recommended for Nifty50 use only.
All default settings are optimised specifically for Nifty50 on the 5-minute timeframe for maximum accuracy and clarity.
Why Last Bar of the Session Matters
The last candle of a trading session often represents the final battle between buyers and sellers for that day.
It encapsulates closing sentiment, influenced by end-of-day positioning, profit booking, and institutional activity.
The high and low of this bar frequently act as strong intraday support/resistance in the following sessions.
Price often reacts around these levels, especially when combined with volume surges.
Core Features
Session Last-Candle Zones
Plots a horizontal box at the high and low of the last candle in each session.
Boxes extend to the right to track carry-over levels into new sessions.
Uses a stateless approach — past zones reappear if relevant.
Smart Suppression System
When more than your Base Sessions (No Suppression) are shown, newer zones overlapping or within a proximity distance (in points) of older zones are hidden.
Older zones take priority, reducing chart clutter while keeping critical levels.
Breakout Bar Coloring
Highlights breakout bars in four categories:
Up Break (1-bar)
Down Break (1-bar)
Up Break (2-bar)
Down Break (2-bar)
Breakouts use a break buffer (in ticks) to filter noise.
Toggle coloring on/off instantly.
Volume Context (User Tip)
For best use, pair with volume analysis.
High-volume breakouts from last-session zones have greater conviction and can signal sustained momentum.
Usage Recommendations
Instrument: Nifty50 only (tested & optimised).
Timeframe: 5-minute chart for best results.
Approach:
Watch for price interaction with the plotted last-session zones.
Combine zone breaks with bar color signals and volume spikes for higher-probability trades.
Use suppression to focus on key, non-redundant levels.
Why This Tool is Different
Unlike standard support/resistance plotting, this indicator focuses on session-closing levels, which are more reliable than arbitrary highs/lows because they capture the final market consensus for the session.
The proximity-based suppression ensures your chart stays clean, while breakout paints give instant visual cues for momentum shifts.
Apex Edge – Liquidity RaiderApex Edge – Liquidity Raider
The Predator That Hunts Where Retail Never Looks
The Liquidity Raider is not your average liquidity line plotter.
This is an institutional-grade hunting system that tracks the pools of liquidity Smart Money algos stalk — and tells you exactly when price is circling in for the strike.
Where most retail tools simply mark lines, this one acts like a predator:
Scans the chart dynamically to detect clustered highs & lows (pivot-based liquidity zones).
Filters noise with sensitivity & price rounding so you only get real liquidity levels — not every random swing.
Plots live BSL (Buy-Side Liquidity) & SSL (Sell-Side Liquidity) lines in clean dotted format.
Auto-deletes levels when swept, so your chart stays clean and focused.
Triggers directional arrows when price comes within your specified % distance to the target liquidity pool — before the market moves.
EMA confluence layer lets you align with institutional flow (customizable Fast & Slow EMAs).
Core Power
Cluster Logic – Finds high-probability liquidity zones using repeated pivot levels.
Sweep Awareness – Lines vanish the moment liquidity is taken, keeping focus on the next pool.
Proximity Strike Detection – Arrow signals only when price is within striking range.
Directional Clarity – Red arrows = targeting BSL, Green arrows = targeting SSL.
Scalable Across Timeframes – Adapts to your chart’s timeframe with dynamic lookback scaling.
Institutional Flow Filter – Optional EMA confirmation keeps you aligned with the real trend.
How to Use
Identify liquidity pools – Dotted green = buy-side, dotted red = sell-side.
Watch proximity arrows – These mean price is in range and hunting that pool.
Align with EMA bias – Enter only in the direction of institutional momentum.
Target the sweep – Your take profit is where the liquidity is resting.
Why Liquidity Raider Wins
This is not a lagging signal system.
It’s a real-time, clean, predictive tool designed to mimic the targeting logic of high-frequency algos.
By removing swept levels and focusing only on the next available pools, Liquidity Raider keeps you one step ahead of the crowd — and perfectly positioned for the kill shot.
