อินดิเคเตอร์และกลยุทธ์
SMC M5 Entry PRO (MTF Trend + TP/SL)//====================== ALERTS ======================//
alertcondition(bullBOS and useBOS, "BUY BOS", "Bullish BOS detected")
alertcondition(bearBOS and useBOS, "SELL BOS", "Bearish BOS detected")
alertcondition(bullCHOCH and useCHOCH, "BUY CHOCH", "Bullish CHOCH detected")
alertcondition(bearCHOCH and useCHOCH, "SELL CHOCH", "Bearish CHOCH detected")
SIDDAMRAJU2Open the indicator Settings (Click the Gear icon).
Look for the "Target Line Settings" group.
You can now pick any Color you want, change the Style to Solid/Dotted/Dashed, and make the line Thicker or Thinner.
Would you like me to...
Add "Risk to Reward" (RR) Ratio to the table? Since we know the Stop Loss distance and the Target distance, I can calculate the exact Ratio (e.g., "1:2.5") and display it in the dashboard so you know if the trade is worth taking.
Directional Movement Index-25adx with horizontal lines
low line 15 for low volume
mid line 25
high line 40 for high volume and maybe reverse
bitcoin Multi-Timeframe Trend Analysis Toolbitcoin Multi-Timeframe Trend Analysis Tool: A Comprehensive Guide for Market Cycle Identification
Introduction
The Multi-Timeframe Trend Analysis Tool is a sophisticated technical indicator designed to help traders identify critical market phases across different time horizons. This tool synthesizes multiple established technical analysis concepts into a unified framework, specifically optimized for high-volatility markets such as cryptocurrencies and alternative coins (altcoins). By integrating trend-following, momentum, and mean-reversion principles, it provides visual cues for strategic entry and exit points throughout market cycles.
Core Philosophy and Integration Rationale
The indicator's design philosophy centers on the principle that different market phases require different analytical approaches. Rather than relying on a single indicator, which often produces false signals during complex market conditions, this tool combines multiple technical components that complement each other's strengths and compensate for individual weaknesses.
The integration follows a logical hierarchy:
Trend Identification through multiple EMA periods establishes the market's primary direction
Momentum Confirmation via multiple MACD configurations validates trend strength and potential reversals
Multi-timeframe Alignment ensures signals are significant across both short-term and long-term perspectives
This layered approach reduces the likelihood of whipsaws and increases the statistical significance of generated signals.
Component Synergy and Operational Mechanics
1. EMA System: The Trend Foundation
The tool employs six Exponential Moving Averages organized into two groups:
Long-term EMA Group (200, 300, 700 periods):
The 200-period EMA serves as the primary trend baseline
The 300-period EMA provides confirmation of the longer-term direction
The 700-period EMA represents the "macro trend" and helps identify major cycle shifts
Medium-term EMA Group (18, 36, 63 periods):
These shorter EMAs capture intermediate trend dynamics
The relationship between these EMAs helps identify acceleration or deceleration in trend momentum
The EMA system works by comparing relationships between different period lengths. For instance, when shorter EMAs are positioned below longer EMAs, it confirms a bearish trend structure, while the opposite configuration suggests bullish momentum.
2. Multi-Period MACD System: Momentum and Divergence Detection
The tool implements three separate MACD configurations, each serving a distinct purpose:
Bottom MACD (168/364/6 periods):
Designed to capture long-term momentum shifts at potential market bottoms
The extended periods (168 and 364) filter out short-term noise while highlighting significant trend changes
Particularly effective at identifying oversold conditions during prolonged downtrends
Top MACD (108/234/9 periods):
Optimized for detecting momentum deterioration at potential market tops
The period selection is based on historical analysis of bull market cycles
Helps identify when bullish momentum is weakening before price action clearly reverses
Local Top MACD (9/36/9 periods):
Functions as an early warning system for short-term corrections
Particularly useful for swing traders and risk management
Can help identify profit-taking opportunities during ongoing trends
The three MACDs operate independently but collectively provide a comprehensive view of momentum across different time horizons. When multiple MACDs simultaneously show confirming signals, the reliability of the indication increases significantly.
3. Signal Generation Logic: Conditional Framework
Signals are generated only when multiple conditions align across different components:
Accumulation Zone Conditions:
Requires both trend alignment (200 EMA below 300 EMA) AND either:
Price trading at a significant discount to the 200 EMA (suggesting oversold conditions), OR
The 200 EMA itself declining sharply (confirming bearish momentum exhaustion)
This dual requirement prevents false accumulation signals during healthy downtrends
Strong Buy Zone Conditions:
Includes all accumulation zone requirements PLUS:
Sharp decline in the 36-period EMA (suggesting panic or capitulation)
Accelerated decline in the 200 EMA (confirming bearish exhaustion)
This represents a higher-conviction signal with multiple confirming factors
Potential Bull Market Top Conditions:
Requires the 700 EMA to be rising sharply (confirming extended bullish trend) AND
Top MACD showing bearish divergence (momentum weakening) AND
Short-term EMA alignment still bullish (indicating the top is forming amid strength)
This combination helps distinguish between minor corrections and major trend reversals
Local Top Warning Conditions:
Triggered when the 700 EMA shows accelerated gains (potential euphoria phase) AND
The Local Top MACD shows bearish momentum divergence
Serves as a risk management tool rather than a direct reversal signal
Practical Application and Usage Guidelines
For Long-Term Investors:
Monitor for "Accumulation Zone" signals during market downturns
Consider initiating or adding to positions during "Strong Buy Zone" signals
Use these signals for dollar-cost averaging strategies rather than timing exact bottoms
Hold through intermediate fluctuations unless "Potential Bull Market Top" signals appear
For Trend Traders:
Use EMA alignments to confirm trend direction before entering positions
Employ "Local Top Warnings" to secure profits on portions of positions
Watch for alignment between medium-term EMA direction and MACD signals for entry timing
Consider "Potential Bull Market Top" signals as reasons to reduce exposure or implement hedging strategies
For Risk Managers:
Use "Local Top Warnings" to tighten stop-losses or reduce position sizes
Monitor the relationship between price and the 200 EMA for overall market health assessment
Track multiple timeframes to distinguish between normal volatility and potential trend changes
Originality and Distinctive Features
This tool represents a novel synthesis of existing technical concepts rather than a completely new indicator. Its originality stems from:
Purpose-Specific MACD Configurations: Unlike standard MACD implementations, each of the three MACDs is optimized for a specific market condition, with period lengths derived from empirical analysis of market cycles.
Multi-Layered Confirmation Framework: Signals require alignment across trend, momentum, and rate-of-change dimensions, reducing false positives common in single-indicator systems.
Progressive Signal Hierarchy: The tool distinguishes between initial warning signals ("Local Top Warnings") and higher-conviction reversal signals ("Potential Bull Market Tops"), allowing for graduated responses.
Combination of Absolute and Relative Conditions: The logic incorporates both absolute price relationships (price vs. EMA levels) and rate-of-change metrics (EMA acceleration/deceleration), capturing both state and momentum information.
Limitations and Considerations
Lagging Nature: Like all trend-following indicators, this tool reacts to established conditions rather than predicting future movements. Early trend phases may not generate signals.
Parameter Sensitivity: The default parameters are optimized for daily cryptocurrency charts. Performance may vary across different asset classes or timeframes.
Complementary Analysis Required: This tool should be used alongside fundamental analysis, volume confirmation, and market structure considerations.
No Guarantee of Performance: Past success in identifying market phases does not ensure future accuracy. All trading involves risk, and no indicator provides certainty.
Conclusion
The Multi-Timeframe Trend Analysis Tool provides a structured approach to identifying significant market phases by integrating trend, momentum, and mean-reversion concepts across multiple time horizons. Its value lies not in predicting exact turning points but in identifying zones of increasing probability for trend changes, allowing traders to adjust their strategies accordingly. When used as part of a comprehensive trading plan with proper risk management, it can help traders navigate complex market environments with greater clarity and discipline.
The tool is particularly suited to the extended trends and pronounced cycles characteristic of cryptocurrency markets, though its principles apply across various financial instruments. As with all technical tools, its effectiveness increases with user understanding of both its mechanisms and its limitations.
Chinese Silver Price_SRC (USD/oz)This indicator converts the Chinese silver price quoted in CNY per kilogram (e.g. SHFE silver) into USD per troy ounce and overlays it directly on the XAGUSD (global silver spot) chart.
The conversion uses the real-time USD/CNY exchange rate and the standard troy ounce conversion factor.
USD/oz = (CNY/kg ÷ USD/CNY) ÷ 32.1507
Bitcoin Macro Trend IndicatorBitcoin Macro Trend Indicator: A Multi-Timeframe Confirmation System for Strategic Positioning
Introduction
The Bitcoin Macro Trend Indicator is a comprehensive technical analysis tool designed for cryptocurrency traders and investors seeking to navigate Bitcoin's volatile cycles. It integrates multiple exponential moving averages (EMAs) and MACD variations into a unified system that identifies long-term accumulation zones, bull market tops, and strategic re-entry points. This document outlines the logical foundation of this integration, explains the synergistic operation of its components, and provides practical guidance for its application.
Rationale for Multi-Indicator Integration
Bitcoin's market behavior exhibits distinct cyclical patterns characterized by extended accumulation periods, parabolic advances, and sharp corrections. Single indicators often generate false signals during volatile conditions. This system employs a layered confirmation approach where:
Ultra-long-term EMAs establish the primary trend context
Medium-term EMA crossovers identify trend transitions
Multiple MACD configurations detect momentum shifts across different time horizons
This multi-timeframe methodology reduces noise and increases signal reliability by requiring convergence across independent but complementary technical elements.
Component Synergy and Operational Mechanism
1. EMA Framework: The Trend Foundation
700-period EMA: Serves as the primary trend baseline. Prices below this line suggest long-term undervaluation (accumulation territory), while sustained positions above indicate established bull markets.
18/63-period EMA Pair: Functions as the core trend transition system. The golden cross (18 above 63) confirms bullish momentum, while the death cross signals potential trend exhaustion.
12/52-period EMA Pair: Specialized for identifying renewed momentum after corrections within ongoing trends, reducing premature re-entry during false recoveries.
12-period EMA (Auxiliary): Provides early warning of short-term trend deterioration that may precede larger corrections.
2. MACD Ensemble: Momentum Verification
Bottom MACD (168/364/6): With exceptionally slow parameters, this configuration filters out short-term noise to identify genuine long-term momentum shifts characteristic of market bottoms.
Top MACD (63/133/1): Optimized for detecting momentum divergence at potential market tops, where traditional MACD settings often lag.
Local Top Warning MACD (30/65/4): Balanced to capture intermediate-term momentum deterioration that frequently precedes significant pullbacks.
Early Bull MACD (9/19/6): Sensitive to initial momentum surges following accumulation periods, providing early confirmation of trend initiation.
3. Signal Hierarchy and Progressive Confirmation
The indicator employs a cascading confirmation logic:
Stage 1 (Accumulation): Requires both long-term MACD improvement AND price position below the 700-period EMA. Strong accumulation signals add Early Bull MACD confirmation.
Stage 2 (Warning): Local top warnings activate only when multiple conditions align: medium-term trend remains bullish, ultra-long-term trend confirms strength, AND specialized MACDs show momentum deterioration.
Stage 3 (Re-entry): Requires both EMA crossover confirmation AND momentum recovery in the warning MACD, reducing false continuation signals.
Stage 4 (Top Confirmation): The most stringent criteria, demanding convergence across long-term, medium-term, and momentum indicators before signaling major trend reversal.
Practical Application and Interpretation
Signal Classification System
Accumulation Zones (Green): Areas where long-term indicators suggest undervaluation. These represent strategic buying opportunities for patient investors.
Strong Accumulation Signals (Dark Green): Enhanced accumulation zones with additional momentum confirmation, suggesting higher-probability entry points.
Local Top Warnings (Orange/Red): Progressive warnings of increasing risk, with red zones indicating conditions historically associated with more severe corrections.
Re-entry Opportunities (Blue): Post-correction zones where momentum recovery aligns with trend resumption signals.
Bull Market Termination (Purple): Signals suggesting completion of major advance cycles, prompting defensive positioning.
Top Confirmation (Dark Red): High-confidence reversal signals with multi-timeframe confirmation.
Usage Guidelines
Timeframe Recommendation: Designed primarily for daily and weekly charts where macroeconomic trends are most evident.
Position Sizing: Accumulation signals support gradual position building, while warning signals suggest reducing exposure rather than immediate liquidation.
Corroboration: Although self-contained, the indicator performs best when combined with volume analysis and fundamental considerations.
Historical Validation: Users should review signal performance across multiple market cycles to understand characteristic behaviors.
Limitations and Considerations
No technical indicator predicts market movements with absolute certainty. This tool provides probabilistic assessments based on historical patterns.
Extraordinary market events or fundamental shifts may override technical signals.
The indicator's parameters, while optimized for Bitcoin's historical behavior, may require adjustment for unprecedented market conditions.
Signals should be interpreted in context of overall market structure and trader/investor time horizon.
Originality and Differentiation
This system represents a novel synthesis of established technical concepts through:
Parameter Optimization: Specific EMA and MACD periods calibrated to Bitcoin's characteristic volatility and cycle duration.
Conditional Layering: Unlike single-criterion systems, signals require convergence across independent technical dimensions.
Progressive Warning System: Multi-stage alerts that distinguish between routine corrections and potential trend reversals.
Macro-Micro Integration: Simultaneous analysis of ultra-long-term trends and short-term momentum shifts.
Empirical Foundation
The indicator's design incorporates observations from Bitcoin's market behavior since 2010, particularly:
The tendency for major bottoms to form during extended periods below long-term moving averages
Characteristic momentum patterns preceding significant tops
The predictive value of specific EMA relationships during different market phases
Historical performance of multi-timeframe confirmation versus single indicators
Conclusion
The Bitcoin Macro Trend Indicator provides a structured framework for identifying high-probability turning points in Bitcoin's market cycles. By integrating multiple technical perspectives into a confirmation hierarchy, it reduces reaction to market noise while maintaining sensitivity to genuine trend changes. Users should employ this tool as part of a comprehensive trading plan that includes risk management protocols and consideration of external market factors. The system's greatest utility emerges when understood not as a predictive oracle but as a systematic method for identifying favorable risk-reward scenarios based on multi-timeframe technical convergence.
Professional Clean BTC ChartInstitutional Price Structure is a clean, price-focused charting tool designed to provide traders with a clear and distraction-free view of market structure, trend context, and key reference levels.
The indicator replaces default candles with neutral grayscale price bars to reduce visual noise and improve readability during high-volatility conditions. Trend direction is defined using a fast and slow exponential moving average, offering immediate context without lag-heavy complexity.
A session-based VWAP is included as a core institutional benchmark, allowing traders to quickly assess mean reversion, premium/discount zones, and intraday bias. Daily high and low levels are plotted automatically to highlight key liquidity boundaries and reaction zones commonly respected by professional participants.
This tool is intentionally minimalist—free of oscillators and signals—to support discretionary decision-making, execution precision, and price-action-based strategies across intraday and swing timeframes.
FxShare - CC ReversalVery simple , but very grounded, strict and pure math+statistics -based algo:
Based on candle count and reverse .
You can set how many candles (and their body shape) you count in a row before the retracement and market overstretch happens. It also has an EMA filter if you wish for even stronger but more rare signals.
Use it, break it, improve it.
Fear Greed RangesFear Greed Ranges Indicator: A Practical Guide to Market Sentiment Analysis
Introduction: Understanding Market Psychology
The "Fear Greed Ranges" indicator is a specialized technical analysis tool designed to visualize market sentiment through the lens of the Relative Strength Index (RSI). Unlike traditional RSI displays that show only a line graph, this indicator transforms raw RSI data into intuitive, color-coded zones that immediately signal whether markets are driven by fear, greed, or balanced sentiment. By providing this visual context, it helps traders identify potential turning points and manage risk more effectively.
Rational Integration: Why RSI Forms the Core
The indicator's foundation rests on the well-established RSI oscillator, chosen for several compelling reasons. First, RSI has stood the test of time since its development by J. Welles Wilder Jr. in 1978, with decades of empirical validation across various asset classes. Second, its mathematical construction—comparing the magnitude of recent gains to recent losses—directly measures momentum, which often precedes price reversals at extremes. Third, RSI's bounded nature (0-100 range) makes it ideal for creating clearly defined zones without subjective interpretation.
The integration transforms this numerical oscillator into a spatial visualization system. Rather than simply reading RSI values, traders can immediately perceive market conditions through color psychology: red triggers caution, green suggests opportunity, and yellow indicates neutrality. This multi-sensory approach reduces cognitive load during fast-moving markets and helps overcome confirmation bias that might occur when interpreting raw numbers.
Component Synergy: How the System Works Together
The indicator comprises three interconnected layers that create a unified analytical framework:
Core Calculation Layer: The traditional RSI calculation processes price data using the specified period length (default 14 periods). This generates the fundamental sentiment metric that drives all subsequent visualizations. The RSI calculation serves as the "brain" of the indicator, continuously analyzing market momentum.
Sentiment Classification Layer: This layer applies threshold logic to categorize each RSI reading into one of three emotional states. Readings above 70 are classified as "Greed" (market potentially overbought), below 30 as "Fear" (market potentially oversold), and between 30-70 as "Neutral" (balanced market conditions). These thresholds are based on the conventional RSI interpretation framework that has been widely adopted in technical analysis.
Visual Translation Layer: The most innovative aspect transforms numerical classifications into immediate visual cues. The colored ribbon area creates a "sentiment atmosphere" around price action, while the background tint provides subtle contextual framing. Horizontal reference lines at 30, 50, and 70 offer precise anchoring points, and the floating label provides real-time status updates. These elements work in concert: the ribbon shows sentiment intensity, the background provides persistent context, and the reference lines offer precise measurement points.
Practical Application: How to Use the Indicator Effectively
For optimal results, traders should incorporate this tool into a comprehensive analysis framework:
Initial Setup: Apply the indicator to any financial chart (stocks, forex, cryptocurrencies, etc.) using the default 14-period setting for general purposes. For shorter timeframes, consider reducing the period to 10; for longer-term analysis, increase to 20-25 periods.
Signal Interpretation:
When the ribbon turns red and the background tints crimson, exercise caution with new long positions and consider profit-taking on existing holdings.
Green zones may indicate accumulation opportunities, particularly if accompanied by bullish divergence (price making lower lows while RSI makes higher lows).
Yellow areas suggest normal market fluctuation where trend-following strategies may be more appropriate than reversal anticipation.
Confirmation Protocol: Always wait for additional confirmation before acting on extreme readings. For greed zone signals, look for bearish candlestick patterns, resistance at key price levels, or decreasing volume. For fear zone signals, watch for bullish reversal patterns, support levels holding, or increasing volume on down moves.
Timeframe Harmony: Analyze multiple timeframes simultaneously. A greed signal on a daily chart carries more weight than one on a 15-minute chart. Look for alignment across timeframes for higher-probability setups.
Alert Utilization: Enable the built-in alert system to receive notifications when sentiment zones change, ensuring you never miss potential opportunities or risk scenarios.
Original Contribution: What Sets This Indicator Apart
While RSI indicators are ubiquitous, the "Fear Greed Ranges" implementation offers several distinctive advantages:
Cognitive Efficiency: By converting numerical data into immediate visual perception, the indicator reduces the mental processing required to assess market conditions. Traders can glance at a chart and instantly understand the sentiment landscape without calculating or interpreting raw values.
Contextual Persistence: The colored background maintains a subtle but constant reminder of the prevailing sentiment, preventing the common pitfall of overlooking extreme conditions that might develop gradually.
Dual-Layer Communication: The system operates on both conscious (reference lines, labels) and subconscious (color psychology) levels, engaging multiple cognitive pathways for more reliable signal recognition.
Integrated Risk Framework: By explicitly naming emotional extremes ("Fear" and "Greed"), the indicator constantly reminds traders of the psychological forces driving markets, encouraging more disciplined decision-making.
Important Considerations and Limitations
No technical indicator guarantees future performance, and this tool should form only one component of a comprehensive trading strategy. Several critical factors require attention:
Market Context Matters: During strong trending markets, RSI can remain in extreme zones for extended periods without immediate reversal. In such conditions, the indicator signals strength rather than imminent reversal.
Volatility Adjustments: Highly volatile instruments may generate frequent zone changes that could lead to overtrading if not filtered appropriately.
Complementary Tools: This indicator works best when combined with price action analysis, volume studies, support/resistance levels, and fundamental factors where applicable.
Personal Adaptation: Traders should backtest the indicator on their preferred markets and timeframes to understand its characteristics before live implementation, potentially adjusting the RSI period or zone thresholds to match specific instrument behaviors.
The "Fear Greed Ranges" indicator serves as a visual translator of market psychology, converting mathematical momentum readings into intuitive emotional landscapes. By making RSI interpretation more immediate and accessible, it helps traders maintain objectivity during emotionally charged market conditions and supports more disciplined execution of their trading strategies. Remember that successful trading involves risk management, continuous learning, and adapting tools to your individual approach—this indicator provides one lens through which to view the markets, not a complete trading system in itself.
Boi stratThis is not investment advice. Trading fulltime with chart
This model is unproven and may be profitable or risky.
Trend Matrix Open Interest EnhancedOpen interest happy
he provided materials offer a technical guide on enhancing trading efficiency through specific technical indicators and visual data workflows. One source emphasises the importance of streamlined infographic designs to better illustrate complex processes with clear examples. The primary content focuses on a VWAP strategy for Bitcoin, specifically highlighting the utility of standard deviation bands as pivot points for high-frequency scalping. The presenter explains how to integrate Volume Bubble Pro to identify market absorption and reward, allowing traders to distinguish between winning and losing participants. By combining these volume-based tools, the author demonstrates how to execute aggressive entries and manage risk through precise sniper setups. Ultimately, the sources aim to provide a practical fram
PnL Candles/Line & Stats (Long & Short)I was enthusiastic to see how a PnL (Profit & Loss) candle looks, so I created this indicator to analyze trade performance for any other indicator. It visualizes PnL using candles and lines, making it easy to track individual trades and understand their outcomes.
How to Use:
In the indicator you want to analyze, define your entry and exit conditions as numeric series (1 or 0):
Longcondition = ? 1 : 0
LongExitcondition = ? 1 : 0
plot(Longcondition, title="Long Condition")
plot(LongExitcondition, title="Long Exit Condition")
Shortcondition = ? 1 : 0
ShortExitcondition = ? 1 : 0
plot(Shortcondition, title="Short Condition")
plot(ShortExitcondition, title="Short Exit Condition")
Provide these series as inputs in the PnL indicator:
Longcondition → Long trade entry trigger
LongExitcondition → Long trade exit trigger
Shortcondition → Short trade entry trigger
ShortExitcondition → Short trade exit trigger
Use the date/time filter to focus on specific periods.
Toggle Show Long Trades and/or Show Short Trades to display only the trades you want to analyze.
Features:
Visualizes PnL for each trade via candles and hidden lines.
Tracks key statistics: total trades, win rate, MAE (Maximum Adverse Excursion), MFE (Maximum Favorable Excursion), cumulative PnL.
Calculates historically suggested stop-loss levels (educational purposes only).
Summarizes metrics in a table with separate sections for Long and Short trades.
Note:
This tool is for educational purposes only. Stop-loss levels and trade statistics are illustrative, not trading recommendations. Users must perform their own analysis and risk management. The developer is not responsible for any gains or losses from using this indicator.
[X342] Structure & Entry Structure & Entry — SMC Toolkit
OVERVIEW
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Structure & Entry is a Smart Money Concepts (SMC) indicator that identifies market structure, order blocks, and optimal trade entry zones based on institutional trading principles.
METHODOLOGY
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The indicator implements core ICT/SMC concepts:
1. Market Structure Analysis
- Swing High/Low detection using pivot logic
- Market Structure Break (MSB) identification
- Bullish MSB: Price breaks above previous swing high
- Bearish MSB: Price breaks below previous swing low
- Tracks current market bias (bullish/bearish)
2. Order Block Detection
- Bullish OB: Last bearish candle before bullish MSB
- Bearish OB: Last bullish candle before bearish MSB
- Order blocks represent institutional entry zones
- Auto-extends to current bar
- Removed when mitigated (price passes through)
3. Optimal Trade Entry (OTE)
- Fibonacci retracement zone (0.618-0.786)
- Calculated from last swing high to swing low
- Adjusts direction based on current bias
- Premium zone for entry in direction of bias
WHY SMC?
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Smart Money Concepts focus on identifying where institutions are likely to enter the market. Order blocks and OTE zones represent high-probability areas where large players accumulate or distribute positions.
FEATURES
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✓ Dual language support (English / Türkçe)
✓ Auto MSB detection and labeling
✓ Dynamic Order Block zones
✓ OTE Fibonacci zones
✓ Mitigation tracking (Wick or Close)
✓ Market bias panel
✓ Comprehensive alerts
VISUAL ELEMENTS
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• Swing Points: Small circles at pivot highs/lows
• MSB Labels: "MSB ↑" or "MSB ↓" at structure breaks
• Order Blocks: Colored boxes at detected OB zones
- Green boxes: Bullish OBs (demand zones)
- Red boxes: Bearish OBs (supply zones)
• OTE Zone: Purple dashed box at Fibonacci retracement
SETTINGS
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Structure:
- Swing Length: Bars for pivot detection (default: 5)
- Show MSB: Toggle structure break labels
- Show Swing Points: Toggle pivot markers
Order Block:
- Show Order Blocks: Toggle OB zones
- OB Lookback: Bars to search for OB candle (default: 10)
- Max OB Count: Maximum active OBs (default: 5)
- Mitigation Type: Wick or Close-based removal
OTE:
- Show OTE Zone: Toggle Fibonacci zone
- OTE Upper: Upper boundary (default: 0.786)
- OTE Lower: Lower boundary (default: 0.618)
INFO PANEL
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Displays:
- Current market bias (BULL/BEAR)
- Last MSB price level
- Active Order Block count
ALERTS
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• Bullish MSB: Structure break to the upside
• Bearish MSB: Structure break to the downside
• Bullish OB Formed: New demand zone created
• Bearish OB Formed: New supply zone created
TRADING APPLICATION
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1. Wait for MSB to confirm direction
2. Look for price to retrace to OTE zone
3. Enter when price reacts at Order Block within OTE
4. Place stop beyond the Order Block
5. Target: Previous swing high/low or liquidity levels
BEST PRACTICES
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- Use higher timeframe for bias, lower for entry
- Fresh (untested) Order Blocks are stronger
- OTE + OB confluence = high probability setup
- Combine with Liquidity Hunter for targets
- Respect the current bias until new MSB
VWAP BandsBuy Godrej Properties
Strong Retest Support of 1362-1483.
+
Trendline Support
+
Fibo 78.6 Support.
Stoploss 1158 weekly Closing.
Target should be 1900 and 2500
[X342] Volume Insight Volume Insight — Smart Flow Analysis
OVERVIEW
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Volume Insight is a comprehensive volume analysis indicator that helps identify unusual trading activity and momentum shifts through smart volume classification.
METHODOLOGY
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The indicator employs a multi-layered volume analysis approach:
1. Volume Classification
- Compares current volume to moving average
- Identifies "high volume" bars using configurable multiplier
- Color-codes bars by direction (bullish/bearish) and intensity
2. Moving Average Options
- SMA: Simple Moving Average (equal weight)
- EMA: Exponential Moving Average (recent bias)
- WMA: Weighted Moving Average (linear weight)
- RMA: Running Moving Average (smoothed)
- HMA: Hull Moving Average (responsive, less lag)
3. Daily Context
- Fetches daily timeframe volume data
- Compares today vs yesterday volume
- Calculates percentage change for trend context
VISUAL ELEMENTS
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• Volume Bars: Colored by direction and high-volume status
- Green: Bullish volume (close > open)
- Red: Bearish volume (close < open)
- Gold: High volume (exceeds threshold)
• MA Line: Blue line showing average volume
• Threshold Line: Gold step-line showing high volume trigger level
FEATURES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✓ Dual language support (English / Türkçe)
✓ Multiple MA type options
✓ Configurable high volume detection
✓ Daily volume comparison
✓ Comprehensive info panel
✓ Alert conditions for volume spikes
SETTINGS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Display:
- Show Volume Bars: Toggle bar display
- Show Moving Average: Toggle MA line
- Show High Volume Threshold: Toggle threshold line
Moving Average:
- MA Period: Lookback period (default: 20)
- MA Type: SMA/EMA/WMA/RMA/HMA
Detection:
- High Volume Multiplier: Threshold multiplier (default: 1.5x)
Panel:
- Show Info Panel: Toggle dashboard
- Panel Position: Corner selection
INFO PANEL
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Displays:
- Current volume value and status
- Average volume over selected period
- Volume ratio (current / average)
- Today's total volume
- Yesterday's total volume
- Daily change percentage
ALERTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• High Bullish Volume: Above threshold + green bar
• High Bearish Volume: Above threshold + red bar
• Volume Spike: 2x+ average volume detected
BEST PRACTICES
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- High volume on breakouts confirms the move
- Declining volume on rallies warns of exhaustion
- Volume spikes near support/resistance are significant
- Combine with price action for best results
[X342] Trend Compass Trend Compass — MTF Signal System
OVERVIEW
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Trend Compass is an ATR-based trend following indicator that combines momentum analysis with optional engulfing pattern confirmation. It provides clear BUY/SELL signals with two operational modes for different trading styles.
METHODOLOGY
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The indicator uses a unique approach combining:
1. ATR-Based Dynamic Trend Line
- Calculates Average True Range over configurable period
- Creates adaptive support/resistance zones using ATR × Multiplier
- Trend direction determined by momentum indicator (MFI or RSI)
2. Momentum Classification
- Uses Money Flow Index (MFI) when volume data is available
- Falls back to RSI for instruments without volume
- Above 50 = Bullish momentum → calculates uptrend line
- Below 50 = Bearish momentum → calculates downtrend line
3. Engulfing Pattern Confirmation (Confirmed Mode)
- Detects Grade-A engulfing patterns (configurable scale)
- Validates candle size against minimum threshold
- Lookback period for pattern matching with trend signals
SIGNAL MODES
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• BASIC Mode: Signals generated on trend line crossovers only
• CONFIRMED Mode: Requires both trend crossover AND engulfing pattern
BUY Signal: Trend line crosses above its lagged value (+ engulfing in Confirmed mode)
SELL Signal: Trend line crosses below its lagged value (+ engulfing in Confirmed mode)
FEATURES
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✓ Dual language support (English / Türkçe)
✓ Two signal modes for flexibility
✓ Engulfing pattern grade filtering
✓ Visual trend fill between lines
✓ Comprehensive alert conditions
✓ Info panel showing current status
SETTINGS
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General:
- Language: English / Türkçe
Trend Settings:
- Signal Mode: Basic or Confirmed
- Multiplier: ATR multiplier (default: 1.0)
- Period: Lookback period (default: 14)
- Source: Price source for calculations
- No Volume Data: Use RSI instead of MFI
Engulfing Settings:
- Engulfing Scale: Minimum size ratio (default: 1.5x)
- Min Candle Size: Absolute minimum size filter
- Lookback: Bars to search for engulfing (default: 3)
ALERTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• BUY Signal / SELL Signal
• Confirmed BUY / Confirmed SELL
• Bullish Engulfing / Bearish Engulfing
• Price Cross (trend line cross)
BEST PRACTICES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Use CONFIRMED mode for higher quality signals with fewer false positives
- Use BASIC mode for more frequent signals in trending markets
- Combine with support/resistance or liquidity zones for entry refinement
- Higher multiplier values reduce sensitivity (good for volatile assets)
2026 Model2026 Model
OVERVIEW
This Pine Script indicator is a comprehensive trading tool designed for identifying key market structure patterns, session-based trading opportunities, and higher timeframe context. It combines multiple trading concepts including Fair Value Gaps (FVGs), Turtle Soup patterns, Smart Money Technique (SMT) divergence, and session-based analysis.
CORE FEATURES
1. SESSION/KILLZONE DETECTION
What It Does:
- Identifies and highlights major trading sessions based on New York time (EDT/EST)
- Displays session labels that change color: light green for the current session, grey for past sessions
- Shows background shading for active sessions
Sessions Tracked:
- Asia Session: 8:00 PM - 12:00 AM NY time
- London AM: 2:00 AM - 5:00 AM NY time
- NY AM: 9:30 AM - 11:00 AM NY time
- NY PM: 1:30 PM - 4:00 PM NY time
How It Works:
- Uses timezone conversion to check if current time falls within each session range
- Creates labels at the start of each session
- Updates label colors every bar to highlight the active session
- Labels are positioned at a consistent Y-level (aligned with HTF boundary lines)
Killzone Status:
- Active during 1:00 AM - 12:59 PM NY time
- Displayed in the dashboard table
2. DAILY BIAS CALCULATION
What It Does:
- Determines market bias based on the relationship between the last two completed daily candles
- Only calculates on weekdays (Monday-Friday) for traditional markets
- Works 24/7 for crypto markets
Bias Logic:
- Bullish:
* Previous day's high exceeded the day before's high AND close was above previous day's high
* OR previous day's low was below the day before's low BUT close recovered above the day before's low
- Bearish:
* Previous day's low was below the day before's low AND close was below previous day's low
* OR previous day's high exceeded the day before's high BUT close fell below the day before's high
How It Works:
- Compares wicks and closes of the last two completed daily candles
- Persists the last weekday bias on weekends
- Displayed in the dashboard table
3. FAIR VALUE GAPS (FVGs)
What It Does:
- Identifies price gaps where liquidity was skipped
- Draws boxes on the chart showing potential retracement zones
- Uses adaptive thresholds that adjust to market volatility
FVG Types:
- Bullish FVG: Gap between candle 1's low and candle 2's high (price jumped up)
- Bearish FVG: Gap between candle 1's high and candle 2's low (price jumped down)
Threshold Modes:
1. ATR-based (Default): Automatically adapts to asset volatility
- Calculates threshold as: (ATR / Close Price) × 100 × Multiplier
- More sensitive for volatile assets, less sensitive for stable ones
2. Auto: Uses cumulative average of price changes
3. Manual: Fixed percentage threshold (e.g., 0.01%)
How It Works:
- Only detects FVGs on confirmed (closed) bars
- Requires the middle candle's percentage change to exceed the threshold
- Extends FVG boxes 15 bars forward
- Limits to 50 FVG boxes to prevent memory issues
Settings:
- Threshold multiplier (default: 1.0) - lower = more FVGs detected
- Minimum threshold override - ensures minimum quality
- ATR length for volatility calculation
4. HIGHER TIMEFRAME (HTF) CANDLE OVERLAY
What It Does:
- Displays the last 3-5 completed HTF candles on the right side of the chart
- Shows HTF context without cluttering the main chart
- Supports 1H, 4H, Daily, Weekly, and Monthly timeframes
Features:
- Candle Display: Shows completed HTF candles with proper wicks and bodies
- Boundary Lines: Optional vertical lines on the main chart marking HTF candle boundaries
- Labels: Optional time/day/month labels under each candle
- SMT Integration: Draws SMT lines connecting swing points on the overlay candles
- Turtle Soup Integration: Shows TS levels as horizontal lines on overlay candles
How It Works:
- Fetches HTF data using request.security() with lookahead_off to get only confirmed candles
- Positions candles to the right of the current chart using future bar indices
- Calculates boundary high/low from all visible candles for consistent line heights
- Only displays when chart timeframe ≤ HTF timeframe
Settings:
- HTF timeframe selection (1H, 4H, 1D, 1W, 1M)
- Number of candles to display (3, 4, or 5)
- Toggle boundary lines and labels
5. TURTLE SOUP PATTERN DETECTION
What It Does:
- Identifies false breakouts followed by reversals
- Draws horizontal lines at the price level that was broken and then reversed
- Works on multiple timeframes (15min, 1H, 4H)
Pattern Definition:
- Bullish Turtle Soup:
* Candle breaks below previous candle's low (wick goes lower)
* BUT closes above the previous candle's low
* Indicates a false breakdown, potential reversal up
- Bearish Turtle Soup:
* Candle breaks above previous candle's high (wick goes higher)
* BUT closes below the previous candle's high
* Indicates a false breakout, potential reversal down
Threshold System:
- ATR-based (Default): Adapts to volatility
- Converts ATR to PIPs: (ATR × Multiplier) / Pip Size
- Only triggers if the initial candle meets minimum size requirement
- Fixed PIPs: Uses a fixed minimum candle size in PIPs
How It Works:
- Checks patterns when HTF candles complete
- Finds the exact swing high/low time within the HTF candle (on lower timeframes)
- Finds when price broke through that level in the reversal candle
- Draws horizontal line from swing point to break point
- Tracks patterns for HTF overlay display
Settings:
- Timeframe selection (15min, 1H, 4H)
- Threshold mode (Fixed PIPs or ATR-based)
- ATR multiplier (default: 0.4)
- Minimum PIPs (for fixed mode)
6. SMART MONEY TECHNIQUE (SMT) / DIVERGENCE
What It Does:
- Detects divergence between correlated trading pairs
- Draws lines connecting swing points when one pair shows Turtle Soup but the other doesn't
- Only works on 4H timeframe and lower
SMT Logic:
- Bullish SMT:
* Correlated pair has bullish Turtle Soup (reversed upward)
* Current pair does NOT have bullish Turtle Soup
* Current pair stayed within previous candle's range (true divergence)
* Draws line connecting swing lows
- Bearish SMT:
* Correlated pair has bearish Turtle Soup (reversed downward)
* Current pair does NOT have bearish Turtle Soup
* Current pair stayed within previous candle's range (true divergence)
* Draws line connecting swing highs
Correlated Pairs:
- ES ↔ NQ (futures)
- SPX ↔ YM (indices)
- BTC ↔ ETH (crypto)
- GBPUSD ↔ EURUSD (forex)
- XAU ↔ XAG (metals)
How It Works:
- Fetches 4H Turtle Soup status for both current and correlated pair
- Checks if current pair showed true divergence (stayed in range)
- On lower timeframes, finds actual swing points within 4H candles
- Draws line connecting the two swing points
- Only triggers on new 4H bar close to avoid duplicates
- Displays on both main chart and HTF overlay
Settings:
- Toggle SMT display on/off
7. DASHBOARD TABLE
What It Does:
- Displays key market information in a table at the bottom-right corner
- Updates in real-time as market conditions change
Information Shown:
1. Killzone: Y/N - Whether currently in active trading hours (1 AM - 12:59 PM NY)
2. Daily Bias: Bullish/Bearish/N/A - Market direction from daily candle analysis
3. 4H Turtle Soup: Bullish/Bearish/No - Most recent 4H TS pattern (within last 5 candles)
4. 4H SMT: Bullish/Bearish/No - Most recent 4H SMT divergence (within last 5 candles)
How It Works:
- Checks arrays of TS and SMT occurrences
- Finds the most recent pattern within the last 5 completed 4H candles
- Updates only on the last bar to optimize performance
HOW IT ALL WORKS TOGETHER
Workflow Example:
1. Session Context: The indicator identifies you're in NY AM session (9:30-11 AM), highlights it in green
2. Daily Bias: Shows "Bullish" from yesterday's price action
3. HTF Overlay: Displays last 5 completed 4H candles on the right, showing higher timeframe structure
4. Turtle Soup: Detects a bearish TS on 4H - price broke above previous high but closed below it
5. SMT: If correlated pair (e.g., NQ) had bullish TS but current pair (ES) didn't, draws SMT line
6. FVGs: Identifies gaps in price that may get filled
7. Dashboard: Summarizes all this information in one place
Key Design Principles:
1. Adaptive Thresholds: Both FVG and Turtle Soup use ATR-based thresholds that adjust to volatility
2. Multi-Timeframe: Works across different chart timeframes while maintaining HTF context
3. Visual Clarity: Current session highlighted in green, past sessions in grey
4. Memory Management: Limits arrays to prevent performance issues
5. Confirmed Data Only: Uses lookahead_off to ensure only completed candles are analyzed
Best Practices for Use:
1. Timeframe Selection: Use lower timeframes (5m, 15m) for entries, but always check HTF overlay for context
2. Session Awareness: Trade during active killzones when liquidity is highest
3. Daily Bias: Align trades with daily bias for higher probability
4. Turtle Soup: Look for TS patterns at key support/resistance levels
5. SMT Divergence: Use SMT to identify when one pair is leading/diverging from correlated pair
6. FVG Fills: Watch for price to return and fill FVG gaps
TECHNICAL DETAILS
Performance Optimizations:
- Limits arrays to 50 elements (FVGs, TS, SMT)
- Only updates dashboard on last bar
- Clears and redraws HTF overlay each bar to prevent duplicates
- Uses efficient time-based lookups for swing point detection
Timezone Handling:
- All sessions use New York time (America/New_York)
- Handles EDT/EST automatically
- Daily bias uses exchange timezone for daily candles
Symbol Support:
- Works with forex, futures, stocks, crypto
- Automatically detects JPY pairs for correct pip calculation (0.01 vs 0.0001)
- Handles 24/7 markets (crypto) vs traditional market hours
SETTINGS SUMMARY
Display Settings:
- Show FVGs
- Show HTF Candle Overlay
- Show Session Times
- Turtle Soup Threshold Mode (Fixed PIPs / ATR-based)
- Turtle Soup ATR Multiplier
- ATR Length
FVG Settings:
- FVG Threshold Mode (Auto / Manual / ATR-based)
- FVG Threshold Multiplier
- FVG Manual Threshold (%)
- Minimum Threshold Override (%)
- FVG ATR Length
HTF Candle Overlay:
- HTF Overlay Timeframe (1H, 4H, 1D, 1W, 1M)
- Number of Candles (3, 4, 5)
- Show HTF Candle Boundaries
- Show HTF Candle Labels
HTF Turtle Soup Settings:
- Show HTF Turtle Soup
- Turtle Soup Timeframe (15, 60, 240)
- Lookback Candles
SMT Settings:
- Show SMT
This indicator is designed to provide a comprehensive view of market structure, combining multiple trading concepts into a unified tool for better trading decisions.
Trading Cutoff TimerTrade Cutoff Timer — Discipline-First Session Control
Trade Cutoff Timer is a simple execution-discipline indicator designed to enforce one of the most powerful trading rules:
stop trading after your optimal window ends.
The indicator visually marks a fixed cutoff time measured in minutes after the market open, helping you avoid late-session overtrading, FOMO entries, and degraded edge conditions.
🔹 What it does
Draws a clear vertical cutoff line at X minutes after market open
Optionally shades the background from market open until the cutoff
Prevents “one more trade” behavior by making your rule visible on-chart
Works on any intraday timeframe
Does not affect chart scaling or price visibility
🔹 Key Features
⏱ Minute-based cutoff
Define exactly how long after market open you are allowed to trade (e.g. 90 minutes).
🌍 Timezone-aware (UTC±)
Select timezones using TradingView-style UTC offsets for consistent behavior across markets.
📅 Lookback control
Limit how many historical days are marked to keep charts clean and focused.
🎨 Visual flexibility
Enable or disable background shading, control how far it extends, and customize colors.
🧠 Discipline over signals
No entries, no indicators, no bias — this tool enforces process, not predictions.
🔹 Who it’s for
Day traders with a defined trading window
Traders who perform best near market open
Anyone working to improve consistency, patience, and rule-based execution
Traders who want structure without clutter
🔹 Typical use cases
“I only trade the first 90 minutes after NY open”
“I stop trading once volatility degrades”
“I want a visual reminder of my hard stop time”
Trade less. Trade better.
This indicator exists to support consistency — not to generate signals.
[X342] Market Radar Market Radar — Multi-Indicator Dashboard
OVERVIEW
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Market Radar is a comprehensive dashboard that consolidates 19+ technical indicators into a single, easy-to-read panel with automatic scoring and decision signals.
METHODOLOGY
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The indicator combines multiple technical analysis approaches:
1. Trend Indicators (7 total)
- EMA 14, 21, 34 (short-term trend)
- SMA 50, 200 (long-term trend)
- SuperTrend (ATR-based)
- Parabolic SAR
- Ichimoku Cloud
2. Oscillators (7 total)
- RSI (14) - momentum
- MACD - trend momentum
- Stochastic - overbought/oversold
- ADX - trend strength
- ROC - rate of change
- Williams %R - momentum
- RVOL - relative volume
3. Pivot Levels (3 timeframes)
- Daily Pivot
- Weekly Pivot
- Monthly Pivot
4. Special Indicators
- Fibonacci retracements (auto-drawn)
- AVWAP (monthly)
- Squeeze detection (BB inside KC)
- Composite analysis (E34, E233)
SCORING SYSTEM
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Each indicator contributes to the total score (max 19 points):
- Score ≥ 10: BUY signal
- Score 7-9: NEUTRAL
- Score ≤ 6: SELL signal
Strong signals: ≥14 (Strong Buy) or ≤4 (Strong Sell)
FEATURES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✓ Dual language support (English / Türkçe)
✓ 19-point scoring system
✓ Auto-drawn Fibonacci levels
✓ Squeeze detection
✓ Composite EMA analysis
✓ Color-coded indicators
DASHBOARD LAYOUT
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
6 columns × 11 rows organized by category:
Column 1-2: Trend indicators and values
Column 3-4: Oscillators and values
Column 5-6: Pivots, special, score, decision
SETTINGS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Fibonacci:
- Show Fibonacci: Toggle Fib levels
- Fibonacci Lookback: Period for high/low (default: 100)
Dashboard:
- Show Dashboard: Toggle panel
- Position: Corner selection
Colors:
- Bullish Color: Green for positive signals
- Bearish Color: Red for negative signals
- Neutral Color: Gray for neutral
ALERTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Strong Buy Signal: Score ≥ 14
• Strong Sell Signal: Score ≤ 4
• Squeeze Detected: Volatility compression
BEST PRACTICES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
- Use for quick market overview
- Higher scores on higher timeframes = stronger signals
- Combine with price action confirmation
- Watch for squeeze as potential breakout setup
- Score changes can indicate trend shifts
[X342] Liquidity Hunter Liquidity Hunter — Sweep Detection
OVERVIEW
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Liquidity Hunter identifies and tracks areas where stop-loss orders are likely clustered (liquidity pools) based on pivot points and notional value calculations.
METHODOLOGY
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The indicator uses a sophisticated approach to identify liquidity:
1. Pivot Point Detection
- Uses configurable left/right bar lookback
- Identifies swing highs (upside liquidity targets)
- Identifies swing lows (downside liquidity targets)
2. Notional Value Calculation
- Formula: Price × Volume at pivot bar
- Represents the "dollar value" of orders at each level
- More accurate than simple volume or price levels alone
3. Dynamic Level Management
- Tracks up to configurable max levels per side
- Automatically removes MITIGATED levels (when price sweeps through)
- Oldest levels are removed when max is exceeded
WHY NOTIONAL VALUE?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Traditional support/resistance uses price alone. Notional value (Price × Volume) provides a more realistic view of where significant orders are clustered. A high volume bar at a pivot is more significant than a low volume bar.
FEATURES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✓ Dual language support (English / Türkçe)
✓ Automatic level cleanup on mitigation
✓ Notional value labels on each level
✓ Distance percentage to nearest levels
✓ Total liquidity summary panel
✓ Sweep detection alerts
VISUAL ELEMENTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• Red Lines: Upside liquidity (buy stops above)
• Blue Lines: Downside liquidity (sell stops below)
• Labels: Show notional value at each level
INFO PANEL
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Displays 4-column layout:
- Total upside liquidity (sum of all notional values)
- Distance to nearest upside level (%)
- Total downside liquidity
- Distance to nearest downside level (%)
SETTINGS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Detection:
- Left Bars: Bars to left for pivot detection (default: 15)
- Right Bars: Bars to right for pivot confirmation (default: 5)
Display:
- Max Levels Each: Maximum levels per side (default: 8)
- Show Liquidity Amount: Toggle notional value labels
Colors:
- Upside Liq Color: Color for resistance/upside levels
- Downside Liq Color: Color for support/downside levels
ALERTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
• New Upside Liq: New upside level formed
• New Downside Liq: New downside level formed
• Upside Sweep: Price swept through upside liquidity
• Downside Sweep: Price swept through downside liquidity
TRADING APPLICATION
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- Use sweeps as potential reversal signals
- Larger notional values indicate stronger levels
- Distance % helps with risk/reward calculations
- Combine with trend indicators for confirmation
USDJPY Buy-Side Structure SAFEThis indicator is designed to educationally highlight buy-side behavior on USDJPY using a simple and uncluttered approach.
It focuses on trend alignment, support interaction, and confirmation, avoiding unnecessary indicators to keep the chart clear and readable.
The script uses two exponential moving averages to identify bullish market structure. When the faster EMA stays above the slower EMA, the market is considered to be in a buy-side environment. A dynamic support level is plotted using recent price lows to visualize areas where buyers may step in.
A potential buy signal appears only when:
The overall trend is bullish
Price holds above buy-side support
Price reclaims the fast EMA, showing buyer strength
This approach helps traders avoid chasing price and instead wait for structured pullbacks and confirmations.
🔹 Best used for education, structure reading, and trend-following
🔹 Works well on intraday and higher timeframes
🔹 Especially suitable for USDJPY buy-side analysis
⚠️ This script is for educational purposes only and should be used with proper risk management.





















