XAUUSD Buy/Sell Alerts with SL & TPThis custom TradingView indicator identifies high-probability buy and sell signals on XAUUSD using EMA crossovers combined with RSI confirmation. Designed for precision entries, it automatically calculates optimal Stop Loss (SL) and Take Profit (TP) levels based on user-defined pip distances.
Key Features:
Fast and Slow EMA crossover for trend direction
RSI filter for momentum confirmation
Dynamic SL and TP levels to manage risk and reward
Visual buy/sell signals plotted on chart
Real-time alerts with detailed messages including entry price, SL, and TP
Suitable for multiple timeframes and trading styles
Perfect for traders seeking clear signals with built-in risk management for scalping or swing trading XAUUSD.
Tìm kiếm tập lệnh với "swing trading"
Сигналы_magistraturaNew Custom Indicator "Signals_magistratura" — How to Get Entry Signals (Long & Short)
🔹 Big news for traders — a new tool has arrived
— Our team has developed a custom indicator that highlights potential entry points.
— It doesn’t guess. It reads market structure and shows real reversal and continuation zones.
🔍 How does the indicator work?
🔹 Trend-aligned signals — enter at the start of an impulse
📌 These signals help you enter early, at the beginning of a move — not after the train has left.
🔹 Breakout signals — two key scenarios
1. False break & reversal (Liquidity grab)
— Price breaks a key level, sweeps stops, then reverses,
— Followed by a strong bounce.
→ Perfect setup for a reversal trade.
2. True breakout — trend continuation
— If price closes and holds beyond a key level,
→ You can enter in the direction of the breakout.
— Signal is strongest when confirmed by high volume.
🔹 Works on stocks — not just crypto
— Example: Signal triggered on touching the upper boundary of the daily SMA channel,
— This indicates an anomalous deviation,
→ Often followed by a pullback toward the moving average.
📌 These levels act as reversal zones, especially when confirmed by volume.
🧩 How to strengthen the signals?
🔹 Combine with "SMA Channels Magistratura"
— Highlights gaps between SMA channels,
— These zones = market extremes, where price is "overheated",
→ High probability of correction or new impulse after.
🔹 Use divergence
— Built-in enhanced RSI analysis (not classic RSI),
— Helps spot trend weakening before reversal.
✅ How to use the indicator?
— Not as a magic button,
— But as a filter and confirmation tool for your strategy.
Works for:
→ Cryptocurrencies,
→ Russian stocks,
→ Forex,
→ Intraday & swing trading.
📌 Especially useful if:
You’re tired of paid signals,
Haven’t built your own strategy yet,
Want to trade systematically, not randomly.
🚀 Your move
Pause the video, add the indicator to your chart, test it on your favorite assets.
Then comment below: how did the signal perform?
→ Let’s discuss!
💡 This indicator is not a trading signal.
It’s a tool for those who want to see deeper, enter earlier, and trade with precision.
Add it. Test it. Improve your trading by 70%.
Good luck!
HANUMAN INDICATORThe VIKRANT INDICATOR is a powerful all-in-one TradingView tool designed for traders who want accuracy, clarity, and confidence in their trades. Built with advanced technical logic, it helps identify market trends, entry & exit points, and high-probability trade setups across Forex, Crypto, Indices, Stocks, and Commodities.
⚡ Key Features:
✅ Smart Trend Detection using multi-layer confluence (EMA / Supertrend / RSI / Volume logic)
✅ Clear Buy/Sell signals with chart labels
✅ Built-in Stop Loss (SL), Take Profit (TP), and Trailing Stop system
✅ Works on all timeframes – from scalping (1m/5m) to intraday & swing trading
✅ Backtestable strategy to check accuracy & performance
✅ Fully customizable settings for every trader’s style
OB - MentorXOB - MentorX
Advanced OrderBlock Detection with Smart Alerts
🎯 Key Features:
- Smart OrderBlock Detection: Identifies bullish/bearish OrderBlocks using fractal breaks
- Multi-Timeframe Alerts: Get instant notifications on 1m, 3m, 5m, 15m, 30m, 1h, 4h
- Strength Filter: Only alerts on significant OrderBlocks (ATR-based strength)
- Visual Confirmation: Alerts sync perfectly with drawn OrderBlock lines
- Customizable Settings: Adjust line styles, colors, and alert preferences
🔔 Alert System:
How It Works:
- OrderBlock detected → Lines drawn → Alert triggered
- No false signals - only alerts when OrderBlock is visible on chart
- Strength filter prevents noise alerts on weak OrderBlocks
Alert Examples:
🔴 Bearish OrderBlock Created
Timeframe: 15m
High: 1.2345
Low: 1.2300
Strength: 2.45% ATR
🟢 Bullish OrderBlock Created
Timeframe: 1h
High: 1.2400
Low: 1.2350
Strength: 3.20% ATR
⚙️ Setup:
1. Enable "Enable Alerts" in settings
2. Select desired timeframes (1m, 3m, 5m, 15m, 30m, 1h, 4h)
3. Adjust "Minimum OB Strength" (0.1-5.0% ATR)
4. Create TradingView alert with "Any alert() function call"
🎨 Customization:
- Line styles: Solid, Dashed, Dotted
- Colors: Customize bearish/bullish line colors
- Fractal filters: 3-bar or 5-bar fractals
- FVG filtering: Optional Fair Value Gap confirmation
📊 Perfect for:
- Scalping
- Swing trading
- Multi-timeframe analysis
- Professional trading strategies
Perfect for scalping, swing trading, and multi-timeframe analysis!
Smart Money Precision Structure [BullByte]Smart Money Precision Structure
Advanced Market Structure Analysis Using Institutional Order Flow Concepts
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OVERVIEW
Smart Money Precision Structure (SMPS) is a comprehensive market analysis indicator that combines six analytical frameworks to identify high-probability market structure patterns. The indicator uses multi-dimensional scoring algorithms to evaluate market conditions through institutional order flow concepts, providing traders with professional-grade market analysis.
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PURPOSE AND ORIGINALITY
Why This Indicator Was Developed
• Addresses the gap between retail and institutional analysis methods
• Consolidates multiple analysis techniques that professionals use separately
• Automates complex market structure evaluation into actionable insights
• Eliminates the need for multiple indicators by providing comprehensive analysis
What Makes SMPS Original
• Six-Layer Confluence System - Unique combination of market regime, structure, volume flow, momentum, price action, and adaptive filtering
• Institutional Pattern Recognition - Identifies smart money accumulation and distribution patterns
• Adaptive Intelligence - Parameters automatically adjust based on detected market conditions
• Real-Time Market Scoring - Proprietary algorithm rates market quality from 0-100%
• Structure Break Detection - Advanced pivot analysis identifies trend reversals early
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HOW IT WORKS - TECHNICAL METHODOLOGY
1. Market Regime Analysis Engine
The indicator evaluates five core market dimensions:
• Volatility Score - Measures current volatility against 50-period historical baseline
• Trend Score - Analyzes alignment between 8, 21, and 50-period EMAs
• Momentum Score - Combines RSI divergence with MACD signal alignment
• Structure Score - Evaluates pivot point formation clarity
• Efficiency Score - Calculates directional movement efficiency ratio
These scores combine to classify markets into five regimes:
• TRENDING - Strong directional movement with aligned indicators
• RANGING - Sideways movement with mixed directional signals
• VOLATILE - Elevated volatility with unpredictable price swings
• QUIET - Low volatility consolidation periods
• TRANSITIONAL - Market shifting between different regimes
2. Market Structure Analysis
Advanced pivot point analysis identifies:
• Higher Highs and Higher Lows for bullish structure
• Lower Highs and Lower Lows for bearish structure
• Structure breaks when established patterns fail
• Dynamic support and resistance from recent pivot points
• Key level proximity detection using ATR-based buffers
3. Volume Flow Decoding
Institutional activity detection through:
• Volume surge identification when volume exceeds 2x average
• Buy versus sell pressure analysis using price-volume correlation
• Flow strength measurement through directional volume consistency
• Divergence detection between volume and price movements
• Institutional threshold alerts when unusual volume patterns emerge
4. Multi-Period Momentum Synthesis
Weighted momentum calculation across four timeframes:
• 1-period momentum weighted at 40%
• 3-period momentum weighted at 30%
• 5-period momentum weighted at 20%
• 8-period momentum weighted at 10%
Result smoothed with 6-period EMA for noise reduction.
5. Price Action Quality Assessment
Each bar evaluated for:
• Range quality relative to 20-period average
• Body-to-range ratio for directional conviction
• Wick analysis for rejection pattern identification
• Pattern recognition including engulfing and hammer formations
• Sequential price movement analysis
6. Adaptive Parameter System
Parameters automatically adjust based on detected regime:
• Trending markets reduce sensitivity and confirmation requirements
• Volatile markets increase filtering and require additional confirmations
• Ranging markets maintain neutral settings
• Transitional markets use moderate adjustments
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COMPLETE SETTINGS GUIDE
Section 1: Core Analysis Settings
Analysis Sensitivity (0.3-2.0)
• Default: 1.0
• Lower values require stronger price movements
• Higher values detect more subtle patterns
• Scalpers use 0.8-1.2, swing traders use 1.5-2.0
Noise Reduction Level (2-7)
• Default: 4
• Controls filtering of false patterns
• Higher values reduce pattern frequency
• Increase in volatile markets
Minimum Move % (0.05-0.50)
• Default: 0.15%
• Sets minimum price movement threshold
• Adjust based on instrument volatility
• Forex: 0.05-0.10%, Stocks: 0.15-0.25%, Crypto: 0.20-0.50%
High Confirmation Mode
• Default: True (Enabled)
• Requires all technical conditions to align
• Reduces frequency but increases reliability
• Disable for more aggressive pattern detection
Section 2: Market Regime Detection
Enable Regime Analysis
• Default: True (Enabled)
• Activates market environment evaluation
• Essential for adaptive features
• Keep enabled for best results
Regime Analysis Period (20-100)
• Default: 50 bars
• Determines regime calculation lookback
• Shorter for responsive, longer for stable
• Scalping: 20-30, Swing: 75-100
Minimum Market Clarity (0.2-0.8)
• Default: 0.4
• Quality threshold for pattern generation
• Higher values require clearer conditions
• Lower for more patterns, higher for quality
Adaptive Parameter Adjustment
• Default: True (Enabled)
• Enables automatic parameter optimization
• Adjusts based on market regime
• Highly recommended to keep enabled
Section 3: Market Structure Analysis
Enable Structure Validation
• Default: True (Enabled)
• Validates patterns against support/resistance
• Confirms trend structure alignment
• Essential for reliability
Structure Analysis Period (15-50)
• Default: 30 bars
• Period for structure pattern analysis
• Affects support/resistance calculation
• Match to your trading timeframe
Minimum Structure Alignment (0.3-0.8)
• Default: 0.5
• Required structure score for valid patterns
• Higher values need stronger structure
• Balance with desired frequency
Section 4: Analysis Configuration
Minimum Strength Level (3-5)
• Default: 4
• Minimum confirmations for pattern display
• 5 = Maximum reliability, 3 = More patterns
• Beginners should use 4-5
Required Technical Confirmations (4-6)
• Default: 5
• Number of aligned technical factors
• Higher = fewer but better patterns
• Works with High Confirmation Mode
Pattern Separation (3-20 bars)
• Default: 8 bars
• Minimum bars between patterns
• Prevents clustering and overtrading
• Increase for cleaner charts
Section 5: Technical Filters
Momentum Validation
• Default: True (Enabled)
• Requires momentum alignment
• Filters counter-trend patterns
• Essential for trend following
Volume Confluence Analysis
• Default: True (Enabled)
• Requires volume confirmation
• Identifies institutional participation
• Critical for reliability
Trend Direction Filter
• Default: True (Enabled)
• Only shows patterns with trend
• Reduces counter-trend signals
• Disable for reversal hunting
Section 6: Volume Flow Analysis
Institutional Activity Threshold (1.2-3.5)
• Default: 2.0
• Multiplier for unusual volume detection
• Lower finds more institutional activity
• Stock: 2.0-2.5, Forex: 1.5-2.0, Crypto: 2.5-3.5
Volume Surge Multiplier (1.8-4.5)
• Default: 2.5
• Defines significant volume increases
• Adjust per instrument characteristics
• Higher for stocks, lower for forex
Volume Flow Period (12-35)
• Default: 18 bars
• Smoothing for volume analysis
• Shorter = responsive, longer = smooth
• Match to timeframe used
Section 7: Analysis Frequency Control
Maximum Analysis Points Per Hour (1-5)
• Default: 3
• Limits pattern frequency
• Prevents overtrading
• Scalpers: 4-5, Swing traders: 1-2
Section 8: Target Level Configuration
Target Calculation Method
• Default: Market Adaptive
• Three modes available:
- Fixed: Uses set point distances
- Dynamic: ATR-based calculations
- Market Adaptive: Structure-based levels
Minimum Target/Risk Ratio (1.0-3.0)
• Default: 1.5
• Minimum acceptable reward vs risk
• Higher filters lower probability setups
• Professional standard: 1.5-2.0
Fixed Mode Settings:
• Fixed Target Distance: 50 points default
• Fixed Invalidation Distance: 30 points default
• Use for consistent instruments
Dynamic Mode Settings:
• Dynamic Target Multiplier: 1.8x ATR default
• Dynamic Invalidation Multiplier: 1.0x ATR default
• Adapts to volatility automatically
Market Adaptive Settings:
• Use Structure Levels: True (default)
• Structure Level Buffer: 0.1% default
• Places levels at actual support/resistance
Section 9: Visual Display Settings
Color Theme Options
• Professional (Teal/Red)
- Bullish: Teal (#26a69a)
- Bearish: Red (#ef5350)
- Neutral: Gray (#78909c)
- Best for: Traditional traders, clean appearance
• Dark (Neon Green/Pink)
- Bullish: Neon Green (#00ff88)
- Bearish: Hot Pink (#ff0044)
- Neutral: Dark Gray (#333333)
- Best for: Dark theme users, high contrast
• Light (Green/Red Classic)
- Bullish: Green (#4caf50)
- Bearish: Red (#f44336)
- Neutral: Light Gray (#9e9e9e)
- Best for: Light backgrounds, traditional colors
• Vibrant (Cyan/Magenta)
- Bullish: Cyan (#00ffff)
- Bearish: Magenta (#ff00ff)
- Neutral: Medium Gray (#888888)
- Best for: High visibility, modern appearance
Dashboard Position
• Options: Top Left, Top Right, Bottom Left, Bottom Right, Middle Left, Middle Right
• Default: Top Right
• Choose based on chart layout preference
Dashboard Size
• Full: Complete information display (desktop)
• Mobile: Compact view for small screens
• Default: Full
Analysis Display Style
• Arrows : Simple directional markers
• Labels : Detailed text information
• Zones : Colored areas showing pattern regions
• Default: Labels (most informative)
Display Options:
• Display Analysis Strength: Shows star rating
• Display Target Levels: Shows target/invalidation lines
• Display Market Regime: Shows regime in pattern labels
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HOW TO USE SMPS - DETAILED GUIDE
Understanding the Dashboard
Top Row - Header
• SMPS Dashboard title
• VALUE column: Current readings
• STATUS column: Condition assessments
Market Regime Row
• Shows: TRENDING, RANGING, VOLATILE, QUIET, or TRANSITIONAL
• Color coding: Green = Favorable, Red = Caution
• Status: FAVORABLE or CAUTION trading conditions
Market Score Row
• Percentage from 0-100%
• Above 60% = Strong conditions
• 40-60% = Moderate conditions
• Below 40% = Weak conditions
Structure Row
• Direction: BULLISH, BEARISH, or NEUTRAL
• Status: INTACT or BREAK
• Orange BREAK indicates structure failure
Volume Flow Row
• Direction: BUYING or SELLING
• Intensity: STRONG or WEAK
• Color indicates dominant pressure
Momentum Row
• Numerical momentum value
• Positive = Upward pressure
• Negative = Downward pressure
Volume Status Row
• INST = Institutional activity detected
• HIGH = Above average volume
• NORM = Normal volume levels
Adaptive Mode Row
• ACTIVE = Parameters adjusting
• STATIC = Fixed parameters
• Shows required confirmations
Analysis Level Row
• Minimum strength level setting
• Pattern separation in bars
Market State Row
• Current analysis: BULLISH, BEARISH, NEUTRAL
• Shows analysis price level when active
T:R Ratio Row
• Current target to risk ratio
• GOOD = Meets minimum requirement
• LOW = Below minimum threshold
Strength Row
• BULL or BEAR dominance
• Numerical strength value 0-100
Price Row
• Current price
• Percentage change
Last Analysis Row
• Previous pattern direction
• Bars since last pattern
Reading Pattern Signals
Bullish Structure Pattern
• Upward triangle or "Bullish Structure" label
• Star rating shows strength (★★★★★ = strongest)
• Green line = potential target level
• Red dashed line = invalidation level
• Appears below price bars
Bearish Structure Pattern
• Downward triangle or "Bearish Structure" label
• Star rating indicates reliability
• Green line = potential target level
• Red dashed line = invalidation level
• Appears above price bars
Pattern Strength Interpretation
• ★★★★★ = 6 confirmations (exceptional)
• ★★★★☆ = 5 confirmations (strong)
• ★★★☆☆ = 4 confirmations (moderate)
• ★★☆☆☆ = 3 confirmations (minimum)
• Below minimum = filtered out
Visual Elements on Chart
Lines and Levels:
• Gray Line = 21 EMA trend reference
• Green Stepline = Dynamic support level
• Red Stepline = Dynamic resistance level
• Green Solid Line = Active target level
• Red Dashed Line = Active invalidation level
Pattern Markers:
• Triangles = Arrow display mode
• Text Labels = Label display mode
• Colored Boxes = Zone display mode
Target Completion Labels:
• "Target" = Price reached target level
• "Invalid" = Pattern invalidated by price
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RECOMMENDED USAGE BY TIMEFRAME
1-Minute Charts (Scalping)
• Sensitivity: 0.8-1.2
• Noise Reduction: 3-4
• Pattern Separation: 3-5 bars
• High Confirmation: Optional
• Best for: Quick intraday moves
5-Minute Charts (Precision Intraday)
• Sensitivity: 1.0 (default)
• Noise Reduction: 4 (default)
• Pattern Separation: 8 bars
• High Confirmation: Enabled
• Best for: Day trading
15-Minute Charts (Short Swing)
• Sensitivity: 1.0-1.5
• Noise Reduction: 4-5
• Pattern Separation: 10-12 bars
• High Confirmation: Enabled
• Best for: Intraday swings
30-Minute to 1-Hour (Position Trading)
• Sensitivity: 1.5-2.0
• Noise Reduction: 5-7
• Pattern Separation: 15-20 bars
• Regime Period: 75-100
• Best for: Multi-day positions
Daily Charts (Swing Trading)
• Sensitivity: 1.8-2.0
• Noise Reduction: 6-7
• Pattern Separation: 20 bars
• All filters enabled
• Best for: Long-term analysis
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MARKET-SPECIFIC SETTINGS
Forex Pairs
• Minimum Move: 0.05-0.10%
• Institutional Threshold: 1.5-2.0
• Volume Surge: 1.8-2.2
• Target Mode: Dynamic or Market Adaptive
Stock Indices (ES, NQ, YM)
• Minimum Move: 0.10-0.15%
• Institutional Threshold: 2.0-2.5
• Volume Surge: 2.5-3.0
• Target Mode: Market Adaptive
Individual Stocks
• Minimum Move: 0.15-0.25%
• Institutional Threshold: 2.0-2.5
• Volume Surge: 2.5-3.5
• Target Mode: Dynamic
Cryptocurrency
• Minimum Move: 0.20-0.50%
• Institutional Threshold: 2.5-3.5
• Volume Surge: 3.0-4.5
• Target Mode: Dynamic
• Increase noise reduction
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PRACTICAL APPLICATION EXAMPLES
Example 1: Strong Trending Market
Dashboard Reading:
• Market Regime: TRENDING
• Market Score: 75%
• Structure: BULLISH, INTACT
• Volume Flow: BUYING, STRONG
• Momentum: +0.45
Interpretation:
• Strong uptrend environment
• Institutional buying present
• Look for bullish patterns as continuation
• Higher probability of success
• Consider using lower sensitivity
Example 2: Range-Bound Conditions
Dashboard Reading:
• Market Regime: RANGING
• Market Score: 35%
• Structure: NEUTRAL
• Volume Flow: SELLING, WEAK
• Momentum: -0.05
Interpretation:
• No clear direction
• Low opportunity environment
• Patterns are less reliable
• Consider waiting for regime change
• Or switch to a range-trading approach
Example 3: Structure Break Alert
Dashboard Reading:
• Previous: BULLISH structure
• Current: Structure BREAK
• Volume: INST flag active
• Momentum: Shifting negative
Interpretation:
• Trend reversal potentially beginning
• Institutional participation detected
• Watch for bearish pattern confirmation
• Adjust bias accordingly
• Increase caution on long positions
Example 4: Volatile Market
Dashboard Reading:
• Market Regime: VOLATILE
• Market Score: 45%
• Adaptive Mode: ACTIVE
• Confirmations: Increased to 6
Interpretation:
• Choppy conditions
• Parameters auto-adjusted
• Fewer but higher quality patterns
• Wider stops may be needed
• Consider reducing position size
Below are a few chart examples of the Smart Money Precision Structure (SMPS) indicator in action.
• Example 1 – Bullish Structure Detection on SOLUSD 5m
• Example 2 – Bearish Structure Detected with Strong Confluence on SOLUSD 5m
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TROUBLESHOOTING GUIDE
No Patterns Appearing
Check these settings:
• High Confirmation Mode may be too restrictive
• Minimum Strength Level may be too high
• Market Clarity threshold may be too high
• Regime filter may be blocking patterns
• Try increasing sensitivity
Too Many Patterns
Adjust these settings:
• Enable High Confirmation Mode
• Increase Minimum Strength Level to 5
• Increase Pattern Separation
• Reduce Sensitivity below 1.0
• Enable all technical filters
Dashboard Shows "CAUTION"
This indicates:
• Market conditions are unfavorable
• Regime is RANGING or QUIET
• Market score is low
• Consider waiting for better conditions
• Or adjust expectations accordingly
Patterns Not Reaching Targets
Consider:
• Market may be choppy
• Volatility may have changed
• Try Dynamic target mode
• Reduce target/risk ratio requirement
• Check if regime is VOLATILE
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ALERTS CONFIGURATION
Alert Message Format
Alerts include:
• Pattern type (Bullish/Bearish)
• Strength rating
• Market regime
• Analysis price level
• Target and invalidation levels
• Strength percentage
• Target/Risk ratio
• Educational disclaimer
Setting Up Alerts
• Click Alert button on TradingView
• Select SMPS indicator
• Choose alert frequency
• Customize message if desired
• Alerts fire on pattern detection
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DATA WINDOW INFORMATION
The Data Window displays:
• Market Regime Score (0-100)
• Market Structure Bias (-1 to +1)
• Bullish Strength (0-100)
• Bearish Strength (0-100)
• Bull Target/Risk Ratio
• Bear Target/Risk Ratio
• Relative Volume
• Momentum Value
• Volume Flow Strength
• Bull Confirmations Count
• Bear Confirmations Count
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BEST PRACTICES AND TIPS
For Beginners
• Start with default settings
• Use High Confirmation Mode
• Focus on TRENDING regime only
• Paper trade first
• Learn one timeframe thoroughly
For Intermediate Users
• Experiment with sensitivity settings
• Try different target modes
• Use multiple timeframes
• Combine with price action analysis
• Track pattern success rate
For Advanced Users
• Customize per instrument
• Create setting templates
• Use regime information for bias
• Combine with other indicators
• Develop systematic rules
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IMPORTANT DISCLAIMERS
• This indicator is for educational and informational purposes only
• Not financial advice or a trading system
• Past performance does not guarantee future results
• Trading involves substantial risk of loss
• Always use appropriate risk management
• Verify patterns with additional analysis
• The author is not a registered investment advisor
• No liability accepted for trading losses
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VERSION NOTES
Version 1.0.0 - Initial Release
• Six-layer confluence system
• Adaptive parameter technology
• Institutional volume detection
• Market regime classification
• Structure break identification
• Real-time dashboard
• Multiple display modes
• Comprehensive settings
## My Final Thoughts
Smart Money Precision Structure represents an advanced approach to market analysis, bringing institutional-grade techniques to retail traders through intelligent automation and multi-dimensional evaluation. By combining six analytical frameworks with adaptive parameter adjustment, SMPS provides comprehensive market intelligence that single indicators cannot achieve.
The indicator serves as an educational tool for understanding how professional traders analyze markets, while providing practical pattern detection for those seeking to improve their technical analysis. Remember that all trading involves risk, and this tool should be used as part of a complete analysis approach, not as a standalone trading system.
- BullByte
Smart Money Trades Pro [BOSWaves]Smart Money Trades Pro – Advanced Market Structure & Liquidity Visualizer
Overview
Smart Money Trades Pro is a comprehensive trading tool designed for traders seeking an in-depth understanding of market structure, liquidity dynamics, and institutional flow. The indicator systematically identifies key market turning points, including break of structure (BOS) and change of character (CHoCH) events, and overlays these with adaptive visualizations to highlight high-probability trade setups. By integrating ATR-based risk zones, progressive take-profit levels, and real-time trade analytics, Smart Money Trades Pro transforms complex price action into an interpretable framework suitable for multiple trading styles, including scalping, intraday, and swing trading.
Unlike traditional static indicators, Smart Money Trades Pro adapts continuously to market conditions. It evaluates swing highs and lows over a configurable lookback period, then determines structural breaks using customizable confirmation methods (candle body or wick). The resulting signals are augmented with dynamic entry, stop-loss, and target levels, allowing traders to analyze potential trade opportunities with both precision and context. The indicator’s design ensures that each visual element—trend-colored candles, signal markers, and risk/reward boxes—reflects real-time market conditions, offering an actionable interpretation of institutional activity.
How It Works
The indicator’s foundation is built upon market structure analysis. By calculating pivot highs and lows over a specified period, Smart Money Trades Pro identifies potential points of liquidity accumulation and exhaustion. When price breaks a pivot high or low, the indicator evaluates whether this constitutes a BOS or a CHoCH, signaling trend continuation or reversal. These events are marked on the chart with distinct visual cues, allowing traders to quickly discern shifts in market sentiment without manually analyzing historical price action.
Once a structural break is confirmed, the indicator automatically determines entry levels, stop-loss placements, and progressive take-profit zones (TP1, TP2, TP3). These calculations are based on ATR-derived volatility, ensuring that targets scale with current market conditions. Risk and reward zones are plotted as shaded boxes, providing a clear visual representation of potential profit relative to risk for each trade setup. This system allows traders to maintain discipline and consistency, with dynamic trade management baked directly into the visualization.
Trend direction is further reinforced by color-coded candles, which reflect the prevailing market bias. Bullish trends are represented by one color, bearish trends by another, and neutral conditions are displayed in muted tones. This continuous visual feedback simplifies the process of trend assessment and helps confirm the validity of trade setups alongside BOS and CHoCH markers.
Signals and Breakouts
Smart Money Trades Pro includes structured visual signals to indicate actionable price movements:
Bullish Break Signals – Triangular markers below the candle appear when a swing high is broken, suggesting potential long opportunities.
Bearish Break Signals – Triangular markers above the candle appear when a swing low is broken, indicating potential short setups.
Change of Character (CHoCH) – Special markers highlight trend reversals, showing where momentum shifts from bullish to bearish or vice versa.
These markers are strategically spaced to prevent overlap and remain clear during high-volatility periods. Traders can use them in combination with trend-colored candles, risk/reward zones, and ATR-based targets to assess the strength and reliability of each setup. The integrated table provides live trade information, including entry price, stop-loss level, take-profit levels, risk/reward ratio, and trade direction, ensuring that trade decisions are informed and data-driven.
Interpretation
Trend Analysis : The indicator’s trend coloring, combined with BOS and CHoCH detection, provides an immediate view of market direction. Rising structures indicate bullish momentum, while falling structures signal bearish momentum. CHoCH markers highlight potential trend reversals or significant liquidity sweeps.
Volatility and Risk Assessment : ATR-based calculations determine stop-loss distances and target levels, giving a quantitative measure of risk relative to market volatility. Wide ATR readings indicate periods of high price fluctuation, whereas narrow readings suggest consolidation and reduced risk exposure.
Market Structure Insights : By monitoring swing highs and lows alongside break confirmations, traders can identify where institutional players are likely active. Areas with multiple structural breaks or overlapping targets can indicate liquidity hotspots, potential reversal zones, or areas of market congestion.
Trade Management : The built-in trade zones allow traders to visualize entry, risk, and reward simultaneously. Progressive targets (TP1, TP2, TP3) reflect incremental profit-taking strategies, while dynamic stop-loss levels help preserve capital during adverse moves.
Strategy Integration
Smart Money Trades Pro supports a range of trading approaches:
Trend Following : Enter trades in the direction of confirmed BOS while using CHoCH markers and trend-colored candles to validate momentum.
Pullback Entries : Use failed breakout retests or minor reversals toward broken structure levels for lower-risk entries.
Mean Reversion : In consolidated zones with narrow ATR and repeated BOS/CHoCH activity, anticipate reversals or short-term corrective moves.
Multi-Timeframe Confirmation : Overlay signals on higher or lower timeframes to filter noise and improve trade accuracy.
Stop-loss levels should be placed just beyond the opposing structural point, while take-profit targets can be scaled using the ATR-based zones. Progressive targets allow for partial exits or scaling out of trades while maintaining exposure to larger moves.
Advanced Techniques
Traders seeking greater precision can combine Smart Money Trades Pro with volume, momentum, or volatility indicators to validate signals. Observing sequences of BOS and CHoCH markers across multiple timeframes provides insight into liquidity accumulation and depletion trends. Tracking the expansion or contraction of ATR-based zones helps anticipate shifts in volatility, enabling better timing for entries and exits.
Customizing the structure period and confirmation type allows the indicator to adapt to different asset classes and timeframes. Shorter periods increase sensitivity to smaller swings, while longer periods filter noise and emphasize higher-probability structural breaks. By integrating these features, the indicator offers a robust statistical framework for disciplined, data-driven trading decisions.
Inputs and Customization
Structure Detection Period : Defines the lookback window for pivot high and low calculation.
Break Confirmation : Choose whether to confirm breaks using candle body or wick.
Display CHoCH : Toggle visibility of change-of-character markers.
Color Trend Bars : Enable color-coding of candles based on market structure direction.
Show Info Table : Display trade dashboard showing entry, stop-loss, take-profits, risk/reward, and bias.
Table Position : Choose from top-left, top-right, bottom-left, or bottom-right placement.
Color Customization : Configure bullish, bearish, neutral, risk, reward, and text colors for enhanced visual clarity.
Why Use Smart Money Trades Pro
Smart Money Trades Pro transforms complex market behavior into an actionable visual framework. By combining market structure analysis, liquidity tracking, ATR-based risk/reward mapping, and a dynamic trade dashboard, it provides a multidimensional view of the market. Traders can focus on execution, interpret trends, and evaluate overextensions or reversals without relying on guesswork. The indicator is suitable for scalping, intraday, and swing strategies, offering a comprehensive system for understanding and trading alongside institutional participants.
Dynamic Momentum Oscillator with Adaptive ThresholdsDynamic Momentum Oscillator with Adaptive Thresholds (DMO-AT)
This advanced indicator is designed to provide traders with a robust tool for identifying momentum shifts, overbought/oversold conditions, and potential reversals in any market. Unlike traditional oscillators with fixed thresholds, DMO-AT uses adaptive levels that adjust based on current volatility (via ATR) and incorporates volume weighting for more accurate signals in high-volume environments.
#### Key Features:
- **Momentum Calculation**: A normalized momentum value derived from price changes, optionally weighted by volume for enhanced sensitivity.
- **Adaptive Thresholds**: Overbought and oversold levels dynamically adjust using ATR, making the indicator adaptable to volatile or ranging markets.
- **Signal Line**: An EMA of the momentum for crossover signals, helping confirm trend directions.
- **Divergence Detection**: Built-in alerts for bullish and bearish divergences between price and momentum.
- **Visual Enhancements**: Background coloring for quick zone identification, dashed static lines for reference, and a customizable stats table displaying real-time values.
- **Alerts**: Multiple alert conditions for crossovers, zone entries, and divergences to keep you notified without constant chart watching.
#### How to Use:
1. Add the indicator to your chart via TradingView's indicator search.
2. Customize inputs: Adjust the momentum length, source, ATR length, and threshold multiplier to fit your trading style (e.g., shorter lengths for scalping, longer for swing trading).
3. Interpret Signals:
- **Crossover**: Momentum crossing above the signal line suggests bullish momentum; below indicates bearish.
- **Zones**: Entering the overbought (red) zone may signal a potential sell; oversold (green) for buys.
- **Divergences**: Use alerts to spot hidden opportunities where price and momentum disagree.
4. Combine with other tools like moving averages or support/resistance for confluence.
5. Enable the stats table for at-a-glance insights on the chart.
This indicator is versatile across timeframes and assets, from stocks to crypto. It's optimized for clarity and performance, with no repainting.
Polynomial Regression HeatmapPolynomial Regression Heatmap – Advanced Trend & Volatility Visualizer
Overview
The Polynomial Regression Heatmap is a sophisticated trading tool designed for traders who require a clear and precise understanding of market trends and volatility. By applying a second-degree polynomial regression to price data, the indicator generates a smooth trend curve, augmented with adaptive volatility bands and a dynamic heatmap. This framework allows users to instantly recognize trend direction, potential reversals, and areas of market strength or weakness, translating complex price action into a visually intuitive map.
Unlike static trend indicators, the Polynomial Regression Heatmap adapts to changing market conditions. Its visual design—including color-coded candles, regression bands, optional polynomial channels, and breakout markers—ensures that price behavior is easy to interpret. This makes it suitable for scalping, swing trading, and longer-term strategies across multiple asset classes.
How It Works
The core of the indicator relies on fitting a second-degree polynomial to a defined lookback period of price data. This regression curve captures the non-linear nature of market movements, revealing the true trajectory of price beyond the distortions of noise or short-term volatility.
Adaptive upper and lower bands are constructed using ATR-based scaling, surrounding the regression line to reflect periods of high and low volatility. When price moves toward or beyond these bands, it signals areas of potential overextension or support/resistance.
The heatmap colors each candle based on its relative position within the bands. Green shades indicate proximity to the upper band, red shades indicate proximity to the lower band, and neutral tones represent mid-range positioning. This continuous gradient visualization provides immediate feedback on trend strength, market balance, and potential turning points.
Optional polynomial channels can be overlaid around the regression curve. These three-line channels are based on regression residuals and a fixed width multiplier, offering additional reference points for analyzing price deviations, trend continuation, and reversion zones.
Signals and Breakouts
The Polynomial Regression Heatmap includes statistical pivot-based signals to highlight actionable price movements:
Buy Signals – A triangular marker appears below the candle when a pivot low occurs below the lower regression band.
Sell Signals – A triangular marker appears above the candle when a pivot high occurs above the upper regression band.
These markers identify significant deviations from the regression curve while accounting for volatility, providing high-quality visual cues for potential entry points.
The indicator ensures clarity by spacing markers vertically using ATR-based calculations, preventing overlap during periods of high volatility. Users can rely on these signals in combination with heatmap intensity and regression slope for contextual confirmation.
Interpretation
Trend Analysis :
The slope of the polynomial regression line represents trend direction. A rising curve indicates bullish bias, a falling curve indicates bearish bias, and a flat curve indicates consolidation.
Steeper slopes suggest stronger momentum, while gradual slopes indicate more moderate trend conditions.
Volatility Assessment :
Band width provides an instant visual measure of market volatility. Narrow bands correspond to low volatility and potential consolidation, whereas wide bands indicate higher volatility and significant price swings.
Heatmap Coloring :
Candle colors visually represent price position within the bands. This allows traders to quickly identify zones of bullish or bearish pressure without performing complex calculations.
Channel Analysis (Optional) :
The polynomial channel defines zones for evaluating potential overextensions or retracements. Price interacting with these lines may suggest areas where mean-reversion or trend continuation is likely.
Breakout Signals :
Buy and Sell markers highlight pivot points relative to the regression and volatility bands. These are statistical signals, not arbitrary triggers, and should be interpreted in context with trend slope, band width, and heatmap intensity.
Strategy Integration
The Polynomial Regression Heatmap supports multiple trading approaches:
Trend Following – Enter trades in the direction of the regression slope while using the heatmap for momentum confirmation.
Pullback Entries – Use breakouts or deviations from the regression bands as low-risk entry points during trend continuation.
Mean Reversion – Price reaching outer channel boundaries can indicate potential reversal or retracement opportunities.
Multi-Timeframe Alignment – Overlay on higher and lower timeframes to filter noise and improve entry timing.
Stop-loss levels can be set just beyond the opposing regression band, while take-profit targets can be informed by the distance between the bands or the curvature of the polynomial line.
Advanced Techniques
For traders seeking greater precision:
Combine the Polynomial Regression Heatmap with volume, momentum, or volatility indicators to validate signals.
Observe the width and slope of the regression bands over time to anticipate expanding or contracting volatility.
Track sequences of breakout signals in conjunction with heatmap intensity for systematic trade management.
Adjusting regression length allows customization for different assets or timeframes, balancing responsiveness and smoothing. The combination of polynomial curve, adaptive bands, heatmap, and optional channels provides a comprehensive statistical framework for informed decision-making.
Inputs and Customization
Regression Length – Determines the number of bars used for polynomial fitting. Shorter lengths increase responsiveness; longer lengths improve smoothing.
Show Bands – Toggle visibility of the ATR-based regression bands.
Show Channel – Enable or disable the polynomial channel overlay.
Color Settings – Customize bullish, bearish, neutral, and accent colors for clarity and visual preference.
All other internal parameters are fixed to ensure consistent statistical behavior and minimize potential misconfiguration.
Why Use Polynomial Regression Heatmap
The Polynomial Regression Heatmap transforms complex price action into a clear, actionable visual framework. By combining non-linear trend mapping, adaptive volatility bands, heatmap visualization, and breakout signals, it provides a multi-dimensional perspective that is both quantitative and intuitive.
This indicator allows traders to focus on execution, interpret market structure at a glance, and evaluate trend strength, overextensions, and potential reversals in real time. Its design is compatible with scalping, swing trading, and long-term strategies, providing a robust tool for disciplined, data-driven trading.
MK_OSFT-Multi-Timeframe MA Dashboard & Smart Alerts-v2📊 Multi-Timeframe MA Dashboard & Smart Alerts v2.0
Transform your trading with the ultimate moving average monitoring system that tracks up to 8 different MA configurations across multiple timeframes simultaneously.
🎯 What This Indicator Does
This advanced dashboard eliminates the need to constantly switch between timeframes by displaying all your critical moving averages on a single chart. Whether you're scalping on 5-minute charts or swing trading on daily timeframes, you'll instantly see the big picture.
⭐ Key Features
📈 Multi-Timeframe Moving Averages
Monitor up to **8 different MA configurations** simultaneously
Support for **SMA and EMA** across 6 timeframes (5m, 15m, 1h, 4h, Daily, Weekly)
Each MA fully customizable: length, color, alert settings, and visibility
Smart visual representation with labeled horizontal lines and connecting plots
🚨 Intelligent Alert System
Cross-over/Cross-under alerts for price vs MA interactions
Three alert modes : No alerts, Once only, or Once per bar close
Smart batching system prevents alert spam during volatile periods
Queue management with 3-second delays between alerts for optimal performance
Easy alert reset functionality for "once only" alerts
📊 Real-Time Information Dashboard
Live countdown timers showing time remaining until each timeframe closes
Color-coded progress bars with gradient visualization (green → yellow → orange → red)
Instant cross-over detection with up/down arrow indicators
Price vs MA relationship clearly displayed (above/below coloring)
🎨 Professional Visualization
Anti-overlap technology prevents labels from clustering
Customizable label positioning and sizing options
Drawing order control (larger timeframes first/last)
Connecting lines link current price to MA values
Status line integration for quick value reference
💡 Perfect For
Multi-timeframe traders [/b who need complete market context
Trend followers monitoring key MA levels across timeframes
Breakout traders waiting for price to cross critical moving averages
Risk managers using MAs as dynamic support/resistance levels
Anyone wanting organized, clutter-free MA monitoring
⚙️ Highly Configurable
Moving Average Settings
Individual enable/disable for each of 8 MA slots
Flexible timeframe selection : 5m, 15m, 1h, 4h, Daily, Weekly
MA type choice : SMA or EMA for each configuration
Custom lengths from 1 to any desired period
Color customization for each MA line and label
Alert Management
Per-MA alert configuration : Choose which MAs trigger alerts
Source selection : Current bar vs last confirmed bar calculations
Frequency control : Prevent over-alerting with smart queuing
Reset functionality : Easily reactivate "fired" once-only alerts
Display Options
Table positioning : Top-right, bottom-left, or bottom-right
Label styling : Size, offset, and gap control
Line customization : Width and extension options
Timezone adjustment : Align timestamps with your local time
🔧 Technical Excellence
Optimized performance with efficient array management and single-pass calculations
Real-time vs historical mode handling for accurate backtesting
Memory-efficient label and line management prevents accumulation
Robust error handling and edge case management
Clean, well-documented code following Pine Script best practices
📋 How to Use
Add to chart and configure your desired MA combinations
Set alert preferences for each MA (none/once/per bar)
Create TradingView alert using "Any alert() function calls"
Monitor the dashboard for cross-over signals and timeframe progress
Use the info table to track all MA values and alert statuses at a glance
🎓 Educational Value
This indicator serves as an excellent educational tool for understanding:
Multi-timeframe analysis principles
Moving average confluence and divergence
Alert system design and management
Professional indicator development techniques
---
Transform your trading workflow with this professional-grade multi-timeframe MA monitoring system. No more chart hopping - get the complete moving average picture in one powerful dashboard!
© MK_OSF_TRADING | Pine Script v6 | Mozilla Public License 2.0
HEIKEN ASHI MULTI + ADXDescription:
This custom indicator combines multiple Heiken Ashi blocks and ADX (Average Directional Index) to provide a comprehensive market analysis tool within a single time frame. It is designed to assist traders in identifying potential buy and sell signals based on Heiken Ashi trends and trend strength.
Key Features:
Multiple Heiken Ashi Blocks:
1-Minute Heiken Ashi: Displays trends in a very short time frame, ideal for scalping strategies.
5-Minute Heiken Ashi: Offers a balanced view for day traders looking for medium-term trends.
15-Minute Heiken Ashi: Provides insights into slightly longer-term trends, helping to confirm signals from shorter time frames.
ADX Functionality:
The ADX line measures the strength of the trend. It helps traders identify whether the market is trending or ranging.
Configurable settings for the ADX period and threshold allow users to tailor this tool to their specific trading style.
Customizable Appearance:
Users can customize the visibility of the Heiken Ashi blocks and ADX plot.
Dot thickness and colors can be adjusted to fit user preferences visually.
Signal Alerts:
Provides alerts when all indicators align (green for buy, red for sell), ensuring traders don't miss significant market opportunities.
Alerts are triggered only on changes to prevent repetitive notifications.
Usage:
Use this indicator for day trading, scalping, or even swing trading strategies by analyzing multiple time frames concurrently.
Customize the settings to suit your trading style for the best results.
How to Use:
Add the indicator to your chart on TradingView.
Configure the settings according to your trading preferences.
Monitor the signals generated by the alignment of the Heiken Ashi blocks and ADX.
Set alerts to be notified of potential trading opportunities based on the indicator's signals.
This indicator is perfect for traders looking for a consolidated view of market trends with a focus on Heiken Ashi candlesticks and trend strength.
Disclaimer:
This indicator is for educational purposes only and should not be construed as financial advice. Always conduct your own research before making trading decisions.
All Weekly Opens + Week LabelThis script plots every Weekly Open (WO) across the entire chart, making it easy for traders to backtest how price reacts to weekly opens historically.
Each weekly open is drawn as a horizontal line and labeled with the month abbreviation and the week number of that month (e.g., WO Aug-4). This allows traders to quickly identify where each weekly session started and analyze market behavior around these key reference levels.
How it works
The script detects the first bar of each new week and records its opening price.
A horizontal line is drawn at that price, extending to the right.
An optional label shows the week name in the format Month-WeekNumber.
Traders can enable or disable labels, change line colors, line width, and optionally display the opening price in the label.
A new input allows filtering to show only the last N months of Weekly Opens. By default, all weekly opens are displayed, but traders can limit the chart to just the most recent ones for a cleaner view.
Why it’s useful
Weekly opens are often respected levels in both intraday and swing trading. They provide natural reference points for:
Backtesting market reactions to session opens.
Identifying areas of support/resistance around weekly levels.
Aligning trade entries and exits with higher-timeframe context.
Simplifying charts by focusing only on the most relevant recent weeks.
Notes
This indicator is not a trading signal generator.
It should be used as a contextual tool for analysis, helping traders improve risk management and entry precision.
Works on all symbols and timeframes.
The “last N months” filter is optional; setting it to 0 will plot all Weekly Opens available in the chart’s history.
NPM Market PredictionMarket Prediction Indicator
The Market Prediction Indicator Script is a custom-built tool designed to give traders a clearer view of market direction and probability. It combines several technical concepts into one framework to help filter out noise, highlight potential opportunities, and improve trade timing.
What it does
Identifies whether the market is more likely trending or ranging.
Generates trade signals only when multiple factors align.
Assigns a confidence score to each signal for added clarity.
Plots guides for stop and target placement that adapt to market conditions.
Filters signals around potential reversal areas to reduce false entries.
What you see
Long/short markers when conditions align.
Confidence score labels for signals.
Adaptive stop/target guides.
Highlighted zones showing potential areas of reaction.
How to use it
1. Observe whether the indicator shows a trending or ranging environment.
2. Take signals when all conditions align and the confidence score meets your threshold.
3. Use the adaptive stop and target guides for risk management.
4. Optionally add higher timeframe confirmation for extra filtering.
Alerts
Long signal confirmed
Short signal confirmed
Target reached
Stop guide breached
Notes
This tool is designed for use across multiple markets and timeframes, from intraday setups to swing trading.
⚠️ Disclaimer: This script is for educational purposes only and not financial advice. Trading involves risk, and you can lose money. Always test on demo and manage risk carefully.
Consecutive Candle Body Expansion with VolumeConsecutive Candle Body Expansion with Volume
This tool is designed to help traders identify moments of strong directional momentum in the market. It highlights potential buy and sell opportunities by combining candlestick behavior with volume confirmation.
✨ Key Features
Detects when the market shows consistent momentum in one direction.
Filters signals with volume confirmation, avoiding low-activity noise.
Highlights possible continuation signals for both bullish and bearish moves.
Works on any asset and any timeframe — from scalping to swing trading.
🛠 How to Use
Green labels suggest potential buying opportunities.
Red labels suggest potential selling opportunities.
Best used in combination with your own risk management rules and other indicators (like support/resistance or moving averages).
⚠️ Note: This is not financial advice. Always backtest before applying in live trading.
VWAP with period (rajib127)VWAP with Adjustable Period (rajib127)
This advanced VWAP (Volume Weighted Average Price) indicator offers enhanced functionality with customizable anchor periods and multiple standard deviation bands.
Key Features:
Adjustable Anchor Period: Unlike standard VWAP that resets daily, this indicator allows you to set custom anchor timeframes (Daily, Weekly, Monthly) to match your trading strategy
Multiple Deviation Bands: Display up to 3 sets of bands with customizable multipliers for better support/resistance identification
Dual Calculation Modes: Choose between Standard Deviation or Percentage-based band calculations
Flexible Price Sources: Select from 7 different price calculation methods (Typical, Close, High, Low, Median, Weighted, Open)
Timeframe Visibility Control: Option to hide VWAP on higher timeframes (Daily and above) for cleaner charts
Visual Enhancements: Color-coded bands with fill areas and real-time value display table
Trading Applications:
Identify dynamic support and resistance levels
Spot mean reversion opportunities when price deviates from bands
Use different anchor periods for swing trading vs day trading strategies
Combine with other indicators for confluence-based entries
Unique Advantage:
The ability to adjust the VWAP reset period makes this indicator versatile for various trading styles - from intraday scalping with hourly resets to swing trading with weekly anchors.
Perfect for traders who want more control over their VWAP analysis beyond the standard daily reset limitation.
Vwapbot (VWAP + Ut Bot Alerts)Vwapbot (VWAP + Ut Bot Alerts) - Complete Guide
This Pine Script indicator combines two powerful trading tools: Volume Weighted Average Price (VWAP) and the UT Bot trend-following system. Here's a comprehensive breakdown:
What This Indicator Does
The indicator provides:
1. VWAP calculation with deviation bands
2. UT Bot trend signals with trailing stops
3. Combined confluence alerts when both indicators align
4. Visual information table showing current market conditions
Core Components
1. VWAP (Volume Weighted Average Price)
What it is: VWAP calculates the average price weighted by volume, giving more importance to high-volume periods.
Settings:
• VWAP Source: Price used for calculation (default: hlc3 - average of high, low, close)
• VWAP Anchor: Reset period (Session/Week/Month/Quarter/Year)
Usage:
• Price above VWAP = bullish bias
• Price below VWAP = bearish bias
• VWAP acts as dynamic support/resistance
2. VWAP Deviation Bands
What they show: Statistical boundaries around VWAP based on price volatility
Settings:
• Standard Deviation Multiplier: How far the bands extend (default: 1.0)
• Show Bands: Toggle visibility
Usage:
• Gray dashed lines: 1 standard deviation bands (normal price range)
• Red dotted lines: 2 standard deviation bands (extreme price levels)
• Price touching outer bands may indicate reversal opportunities
3. UT Bot (Ultimate Trend Bot)
What it does: Creates a trailing stop system that follows trends and signals reversals
Settings:
• Key Value: Sensitivity multiplier (1.0 = balanced, lower = more sensitive)
• ATR Period: Lookback period for volatility calculation (default: 10)
How it works:
• Uses ATR (Average True Range) to calculate dynamic support/resistance levels
• Green line = uptrend (trailing stop below price)
• Red line = downtrend (trailing stop above price)
4. UT Bot Alerts are integrated to the logic of Volume Profile i,e VWAP, the UT Bot Stop trailing line plot its data and change trends obtaining it's logic from the VWAP and Standard Deviation bands, thus it differs in it's logic of UT Bot alerts from other indicators.
Visual Elements
On-Chart Displays:
1. Blue line: VWAP
2. Gray lines: 1st deviation bands
3. Red lines: 2nd deviation bands
4. Green/Red thick line: UT Bot trailing stop
5. Green triangles up: Buy signals
6. Red triangles down: Sell signals
7. Background color: Light green (bullish) / Light red (bearish)
Information Table (Top Right):
• VWAP: Current VWAP value
• UT Bot: Current trailing stop level
• Trend: Bullish/Bearish status
• Price vs VWAP: Above/Below comparison
• Deviation: Percentage distance from VWAP
• Volume: Current bar volume
Trading Signals
Basic Signals:
1. UT Bot Buy: Green triangle when trend turns bullish
2. UT Bot Sell: Red triangle when trend turns bearish
3. VWAP Cross Above: Price crosses above VWAP
4. VWAP Cross Below: Price crosses below VWAP
Confluence Signals :
1. Bullish Confluence: UT Bot buy signal + Price above VWAP
2. Bearish Confluence: UT Bot sell signal + Price below VWAP
How to Use This Indicator
For Trend Following:
1. Enter long when you get a bullish confluence signal
2. Enter short when you get a bearish confluence signal
3. Exit when the UT Bot trend changes color
For Mean Reversion:
1. Look for reversals when price hits the 2nd deviation bands
2. Confirm with UT Bot signals
3. Target return to VWAP
For Support/Resistance:
1. Use VWAP as dynamic support in uptrends, resistance in downtrends
2. Watch for bounces at deviation bands
3. Confirm direction with UT Bot trend color
Best Practices
Timeframes:
• Intraday: Use Session VWAP anchor
• Swing trading: Use Weekly/Monthly anchors
• Position trading: Use Monthly/Quarterly anchors
Risk Management:
• Stop loss: Below/above the UT Bot trailing stop
• Position sizing: Smaller positions when price is at extreme deviation bands
• Confluence: Wait for both VWAP and UT Bot alignment for strongest signals
Market Conditions:
• Trending markets: Focus on UT Bot signals and VWAP direction bias
• Ranging markets: Use deviation bands for entry/exit points
• High volume periods: VWAP becomes more significant
Alert System
The indicator provides 6 types of alerts:
1. UT Bot buy/sell signals
2. VWAP crossover alerts
3. Confluence alerts (most important)
Set up alerts for confluence signals to catch the highest probability setups when both indicators align.
This indicator works best when combined with proper risk management and used in conjunction with market structure analysis. The confluence signals provide the highest probability entries, while the individual components help with market.
Advice from the publisher:
For using with Indices e.g NIFTY 50, BANKNIFTY etc. use parameters:
UT BOT Key Value : 1
UT BOT ATR Period : 10
Standard Deviation Multiplier : 1 {Default}
For using with commodities e.g NATURALGAS, CRUDEOIL etc. use parameters:
UT BOT Key Value : 2
UT BOT ATR Period : 7
Standard Deviation Multiplier : 1 {Default}
Gravity Trend Line with ±10% Bands_QianYu🌌 Law of Gravity in Stock Trading — by Hu Liyang (胡立阳)—often called the “Godfather of Asian Stock Markets”
✦ Conceptual Origin
The “Law of Gravity” was developed by Mr. Hu Liyang, drawing an analogy between the gravitational pull in physics and the relationship between stock prices and moving averages. It is a medium-term mean reversion theory that helps traders identify rebound opportunities when prices deviate too far from their trend lines.
📈 Indicator Summary: Gravity Trend Line with ±10% Bands
🔧 How It's Calculated:
Gravity Trend Line = Average of SMA(30) and SMA(70)
Represents the fair value zone or center of gravity for price over a medium-term period.
Upper Band = Gravity Line + 10%
Lower Band = Gravity Line - 10%
A shaded zone shows the space between the upper and lower bands — your "gravity channel."
🧭How to Use It for Swing Trading (1H and 4H Charts)
1. Trend Bias Filter
If price is consistently above the Gravity Line, the trend bias is bullish.
If price is below the Gravity Line, the bias is bearish.
Use this to align your trades with the prevailing direction on 4H (macro view) and fine-tune entries on 1H.
2.Trade Entry Zones
Long Setup (buy):
Look for price near or just below the lower band (oversold zone).
Combine with bullish candles or reversal indicators (e.g., MACD bullish crossover, RSI < 30 turning up).
Confirmation: price reclaims the lower band or moves toward gravity line.
Short Setup (sell):
Look for price near or just above the upper band (overbought zone).
Combine with bearish confirmation (e.g., MACD bearish crossover, RSI > 70 turning down).
Confirmation: price starts rejecting from upper band toward gravity line.
3. Take Profit / Exit Zones
Partial TP: At the Gravity Line (mean reversion level).
Final TP: At opposite band (if price has strong momentum).
Alternatively, exit on crossback below gravity line after a long, or above it after a short.
4. Avoiding Traps
Avoid entering trades in the middle of the band (around the Gravity Line) unless there's strong breakout confirmation.
Use 4H for trend context, and 1H for entry precision.
Avoid trading against the broader gravity slope:
If gravity line is clearly sloping up, favor longs.
If sloping down, favor shorts.
📘 Example Strategy Workflow:
Timeframe:
Use 4H for directional bias
Use 1H for entries and exits
Example Long Setup (1H Chart):
Price dips below lower band while 4H trend is up.
Bullish candle forms or RSI/MACD confirms momentum shift.
Entry: price closes back above the lower band.
TP1: near gravity line.
TP2: near upper band.
Or, exit when gain hits +8% to +15%, depending on risk appetite.
📌 Final Notes:
This is a mean-reversion + trend confirmation tool — best used with additional confluence (candlestick patterns, volume, divergence).
It works well in ranging to gently trending markets — not ideal for sharp breakouts unless combined with breakout filters.
This indicator is for educational and reference purposes only.
It is not intended to be a recommendation or signal to buy or sell any security.
Use at your own discretion. Always perform your own due diligence before trading.
Malama's Quantum Swing Modulator# Multi-Indicator Swing Analysis with Probability Scoring
## What Makes This Script Original
This script combines pivot point detection with a **weighted scoring system** that dynamically adjusts indicator weights based on market regime (trending vs. ranging). Unlike standard multi-indicator approaches that use fixed weightings, this implementation uses ADX to detect market conditions and automatically rebalances the influence of RSI, MFI, and price deviation components accordingly.
## Core Methodology
**Dynamic Weight Allocation System:**
- **Trending Markets (ADX > 25):** Prioritizes momentum (50% weight) with reduced oscillator influence (20% each for RSI/MFI)
- **Ranging Markets (ADX < 25):** Emphasizes mean reversion signals (40% each for RSI/MFI) with no momentum bias
- **Price Wave Component:** Uses EMA deviation normalized by ATR to measure distance from central tendency
**Pivot-Based Level Analysis:**
- Detects swing highs/lows using configurable left/right lookback periods
- Maintains the most recent pivot levels as key reference points
- Calculates proximity scores based on current price distance from these levels
**Volume Confirmation Logic:**
- Defines "volume entanglement" when current volume exceeds SMA by user-defined factor
- Integrates volume confirmation into confidence scoring rather than signal generation
## Technical Implementation Details
**Scoring Algorithm:**
The script calculates separate bullish and bearish "superposition" scores using:
```
Bullish Score = (RSI_bull × weight) + (MFI_bull × weight) + (price_wave × weight × position_filter) + (momentum × weight)
```
Where:
- RSI_bull = 100 - RSI (inverted for oversold bias)
- MFI_bull = 100 - MFI (inverted for oversold bias)
- Position_filter = Only applies when price is below EMA for bullish signals
- Momentum component = Only active in trending markets
**Confidence Calculation:**
Base confidence starts at 25% and increases based on:
- Market regime alignment (trending/ranging appropriate conditions)
- Volume confirmation presence
- Oscillator extreme readings (RSI < 30 or > 70 in ranging markets)
- Price position relative to wave function (EMA)
**Probability Output:**
Final probability = (Base Score × 0.6) + (Proximity Score × 0.4)
This balances indicator confluence with proximity to identified levels.
## Key Differentiators
**vs. Standard Multi-Indicator Scripts:** Uses regime-based dynamic weighting instead of fixed combinations
**vs. Simple Pivot Indicators:** Adds quantified probability and confidence scoring to pivot levels
**vs. Basic Oscillator Combinations:** Incorporates market structure analysis through ADX regime detection
## Visual Components
**Wave Function Display:** EMA with ATR-based uncertainty bands for trend context
**Pivot Markers:** Clear visualization of detected swing highs and lows
**Analysis Table:** Real-time probability, confidence, and action recommendations for current pivot levels
## Practical Application
The dynamic weighting system helps avoid common pitfalls of multi-indicator analysis:
- Reduces oscillator noise during strong trends by emphasizing momentum
- Increases mean reversion sensitivity during sideways markets
- Provides quantified probability rather than subjective signal interpretation
## Important Limitations
- Requires sufficient historical data for pivot detection and volume calculations
- Probability scores are based on current market regime and may change as conditions evolve
- The scoring system is designed for confluence analysis, not standalone trading decisions
- Past probability accuracy does not guarantee future performance
## Technical Requirements
- Works on all timeframes but requires adequate lookback history
- Volume data required for entanglement calculations
- Best suited for liquid instruments where volume patterns are meaningful
This approach provides a systematic framework for evaluating swing trading opportunities while acknowledging the probabilistic nature of technical analysis.
SigmoidCycle Oscillator [LuminoAlgo]Purpose:
The SineCycle Oscillator measures price momentum using sigmoid function mathematics (S-curve transformation) borrowed from neural network theory. It generates an oscillator that fluctuates around 1.0, identifying momentum shifts and potential reversal points.
Mathematical Foundation:
This indicator applies the sigmoid logistic function concept: y = 1/(1+e^-x) , which creates an S-shaped curve. In financial markets context, this transformation:
- Maps price changes to a bounded range (-1 to +1)
- Provides non-linear sensitivity (high near zero, low at extremes)
- Naturally filters outliers without lag penalty
Calculation Process:
1. Statistical Normalization: Price deviations are measured from a moving average baseline and scaled by recent volatility (standard deviation over N periods)
2. Sigmoid Transformation: Normalized values undergo S-curve transformation, which weights small movements linearly but compresses large movements logarithmically
3. Dual Timeframe Analysis:
• Short window: User-defined period (N)
• Long window: Double period (2N)
• Ratio calculation: Short sigmoid average ÷ Long sigmoid average
4. Volatility-Weighted Smoothing: Final values use exponential smoothing where the smoothing factor adjusts based on the coefficient of variation (volatility/mean ratio)
What Makes This Different:
Unlike linear momentum oscillators (RSI, Stochastic) that use fixed mathematical relationships, the sigmoid transformation creates variable sensitivity zones. This mimics how professional traders mentally weight price movements.
Trading Application:
Signal Types:
- Momentum: Green (>1.0) = bullish, Red (<1.0) = bearish
- Reversals: 1.0 line crosses with volume confirmation
- Divergence: Price makes new high/low, oscillator doesn't
- Exhaustion: Extended readings (>1.2 or <0.8) suggest overextension
Optimal Conditions:
- Works best: Trending markets with clear swings
- Avoid: Low volume, ranging markets under 1% daily movement
- Timeframes: 4H and above for reliability
Parameter Guidelines:
- Length 8-10: Day trading (expect more whipsaws)
- Length 14-20: Swing trading (balanced signals)
- Length 25-30: Position trading (fewer, stronger signals)
Limitations:
- Lag increases with higher length settings
- Can give false signals during news-driven spikes
- Requires additional confirmation in choppy markets
Trading Framework:
Based on momentum persistence theory - assumes trends continue until sigmoid curve flattens (indicating momentum exhaustion). The mathematical model captures both mean reversion (extreme readings) and trend following (mid-range readings) characteristics.
Price Acceleration Matrix [QuantAlgo]🟢 Overview
The Price Acceleration Matrix indicator is an advanced momentum analysis tool that measures the rate of change in price velocity across multiple timeframes simultaneously. It transforms raw price data into velocity measurements for each timeframe, then calculates the acceleration of these velocities to identify when momentum is building or deteriorating. By analyzing acceleration alignment across all three timeframes, the system can distinguish between strong directional moves (all timeframes accelerating in the same direction) and weak, choppy movements (mixed acceleration signals). This multi-timeframe acceleration matrix provides traders with early warning signals for momentum shifts, trend continuation and reversal opportunities across different timeframes and asset classes.
🟢 How It Works
The indicator employs a three-stage calculation process that transforms price data into actionable acceleration signals. First, it calculates velocity (rate of price change) for each of the three user-defined timeframes by measuring the percentage change in price over the specified lookback periods. These velocity calculations are normalized by their respective timeframe lengths to ensure fair comparison across different periods.
In the second stage, the system calculates acceleration by measuring the change in velocity from one bar to the next for each timeframe, effectively capturing the second derivative of price movement. This acceleration data reveals whether momentum is building (positive acceleration) or deteriorating (negative acceleration) at each timeframe level.
The final stage creates the acceleration matrix score by evaluating alignment across all three timeframes. When all timeframes show positive acceleration, the system averages them for maximum bullish signal strength. When all show negative acceleration, it averages them for maximum bearish signal strength. However, when acceleration signals are mixed across timeframes, the system applies a penalty by dividing the average by two, indicating consolidation or conflicting momentum forces. The resulting signal is then smoothed using an Exponential Moving Average and scaled to the -3 to +3 range using a user-defined threshold parameter.
🟢 How to Use
1. Signal Interpretation and Momentum Analysis
Positive Territory (Above Zero): Indicates accelerating upward momentum with bullish bias and favorable conditions for long positions
Negative Territory (Below Zero): Signals accelerating downward momentum with bearish bias and favorable conditions for short positions
Extreme Levels (±2 to ±3): Represent maximum acceleration alignment across all timeframes, indicating high-probability momentum continuation
Moderate Levels (±1 to ±2): Suggest building momentum with good timeframe alignment but less conviction than extreme readings
Near Zero (-0.5 to +0.5): Indicates mixed signals, consolidation, or momentum exhaustion requiring caution
2. Overbought/Oversold Zone Analysis
Above +2 (Overbought Zone): Markets showing extreme bullish acceleration may be due for profit-taking or short-term pullbacks
Below -2 (Oversold Zone): Markets showing extreme bearish acceleration may present reversal opportunities or bounce potential
Zone Exits: When acceleration retreats from extreme zones, it often signals momentum exhaustion and potential trend changes
🟢 Pro Tips for Trading
→ Early Momentum Detection: Watch for acceleration crossing above zero after periods of negative readings, as this often precedes major price movements by several bars, providing early entry opportunities before traditional indicators signal.
→ Momentum Exhaustion Signals: Exit or take profits when acceleration reaches extreme levels (±2.5 or higher) and begins to decline, even if price continues in the same direction, as momentum deterioration typically precedes price reversals.
→ Acceleration Divergence Strategy: Look for divergences between price highs/lows and acceleration peaks/troughs, as these often signal weakening momentum and potential reversal opportunities before they become apparent on price charts.
→ Threshold Optimization: Adjust the acceleration threshold based on asset volatility - higher thresholds (0.7-1.0) for volatile assets to reduce false signals, lower thresholds (0.3-0.5) for stable assets to maintain sensitivity.
→ Alert-Based Trading: Utilize the built-in alert system for bullish/bearish reversals (±2 level crosses) and trend changes (zero line crosses) to capture momentum shifts without constant chart monitoring, especially effective for swing trading approaches.
→ Risk Management Integration: Reduce position sizes when acceleration readings are weak (below ±1.0) and increase allocation when strong acceleration alignment occurs (above ±2.0), as signal strength correlates directly with probability of successful trades.
Anchored VWAP by Fin VirajSimple Anchored VWAP with Directional Colors
📊 Overview
A clean and efficient Anchored VWAP (Volume Weighted Average Price) indicator with dynamic directional coloring. This indicator provides traders with a reliable reference point for price action analysis based on volume-weighted calculations from specific anchor points.
✨ Key Features
🎯 Multiple Anchor Types
Session: Anchors to daily trading session start
Day: Resets at the beginning of each trading day
Week: Weekly anchor points for swing trading
Month: Monthly anchors for longer-term analysis
Manual Date: Set custom anchor date for specific events
🌈 Directional Color System
🟢 Green: Price above VWAP with upward momentum
🔴 Red: Price below VWAP with downward momentum
🔵 Blue: Neutral/transitional conditions
📏 Standard Deviation Bands
Customizable multipliers (default: 1.0 and 2.0)
Toggle on/off as needed
Support and resistance levels based on statistical deviation
Filled area between bands for better visualization
🔧 Settings & Customization
Input Parameters
Anchor Type: Choose from 5 different anchor methods
Manual Anchor Date: Set specific date for manual anchoring
Reset Anchor Point: Manual reset button
Show Standard Deviation Bands: Toggle bands visibility
Band Multipliers: Adjust band distance (1σ and 2σ)
VWAP Line Width: Customize line thickness (1-4)
Color Customization
Bullish Color: Customize uptrend color
Bearish Color: Customize downtrend color
Neutral Color: Customize neutral state color
Band Color: Customize standard deviation bands color
📈 How to Use
For Day Trading
Set anchor type to "Session" or "Day"
Use VWAP as dynamic support/resistance
Green color = bullish bias, Red color = bearish bias
For Swing Trading
Set anchor type to "Week" or "Month"
Longer-term VWAP acts as major S/R level
Standard deviation bands show potential reversal zones
For Event-Based Analysis
Set anchor type to "Manual Date"
Choose significant event date (earnings, news, etc.)
Analyze price behavior relative to that anchor point
🎨 Visual Interpretation
VWAP Line Colors
Bright Green: Strong bullish momentum (price above rising VWAP)
Bright Red: Strong bearish momentum (price below falling VWAP)
Blue: Neutral conditions or transitional phase
Standard Deviation Bands
Upper Bands: Potential resistance levels
Lower Bands: Potential support levels
Band Touches: Often indicate reversal or continuation points
💡 Trading Applications
Support & Resistance
VWAP acts as dynamic support in uptrends
VWAP acts as dynamic resistance in downtrends
Standard deviation bands provide additional S/R levels
Trend Analysis
Price consistently above VWAP = bullish trend
Price consistently below VWAP = bearish trend
Color changes help identify trend shifts
Entry & Exit Points
Use VWAP reclaims for potential long entries
Use VWAP breaks for potential short entries
Standard deviation bands for profit-taking levels
⚙️ Technical Details
Pine Script Version: v6
Overlay: Yes (plots on price chart)
Calculation: Volume-weighted average price from anchor point
Standard Deviation: Statistical measure of price dispersion
Performance: Optimized for real-time calculation
🔄 Anchor Reset Logic
The indicator automatically resets based on selected anchor type:
Session/Day: Resets at market open
Week: Resets at week start
Month: Resets at month start
Manual: Resets from chosen date
Manual Reset: Override button for immediate reset
📋 Best Practices
Choose appropriate timeframe for your anchor type
Combine with volume analysis for better confirmation
Use multiple timeframes for comprehensive analysis
Consider market context when interpreting signals
Test on demo before live trading
⚠️ Disclaimer
This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management before making trading decisions.
Historical & Periodic Key LevelsHistorical & Periodic Key Levels
This indicator automatically plots historical key levels (ATH/ATL) and periodic closing levels (Daily, Weekly, Monthly, Yearly). It highlights major price zones frequently used in technical and institutional trading.
Key Features:
Dynamic ATH/ATL: tracks all-time high/low with date annotation.
Periodic Closes: previous D/W/M/Y closes with directional coloring.
Adaptive Colors: green/red based on bullish or bearish close.
Full Customization: toggle visibility, colors, line width, text alignment, and label text.
Smart Label Management: prevents overlap by cycling through label styles automatically.
Usage:
Identify strong support/resistance levels.
Monitor key closing prices across multiple timeframes.
Enhance swing trading and long-term analysis with institutional reference levels.
Inputs:
Levels Visibility: show/hide ATH, ATL, and periodic closes.
ATH/ATL Style Settings: line colors, label prefix, width, and text alignment.
Periodic Levels Style: label text (D/W/M/Y), line width, alignment, and bullish/bearish colors.
Notes:
Levels adjust automatically to the active chart timeframe.
Lower timeframe levels are hidden when redundant (e.g., daily close on daily chart).
Bollinger Bands x SmartBlackGirlBollinger Bands — Volatility & Breakout Zones
This Bollinger Bands tool dynamically adapts to market volatility, giving traders a visual framework for spotting overbought/oversold conditions, squeezes, and breakout opportunities.
Key Features
Dynamic Volatility Channels – Upper and lower bands expand during high volatility and contract during quiet periods.
Mean Reversion & Trend Trading – Price touching or piercing the bands can signal potential reversals or strong trend continuation.
Squeeze Detection – Narrowing bands indicate compression, often preceding explosive moves.
Fully Customizable – Adjust period, standard deviation, and colors to match your strategy.
Multi-Timeframe Friendly – Works on any chart, from scalping to swing trading.
How to Use
Squeeze Plays – Watch for band tightening; breakouts often follow.
Reversal Signals – Extreme touches combined with candlestick rejection may indicate turning points.
Trend Riding – Price “walking the band” can confirm strong momentum.
This indicator is ideal for traders who want a clear visual of volatility shifts, helping to anticipate when markets are likely to break out or revert to the mean.
Bollinger Bands x SamrtBlackGirlBollinger Bands — Volatility & Breakout Zones
This Bollinger Bands tool dynamically adapts to market volatility, giving traders a visual framework for spotting overbought/oversold conditions, squeezes, and breakout opportunities.
Key Features
Dynamic Volatility Channels – Upper and lower bands expand during high volatility and contract during quiet periods.
Mean Reversion & Trend Trading – Price touching or piercing the bands can signal potential reversals or strong trend continuation.
Squeeze Detection – Narrowing bands indicate compression, often preceding explosive moves.
Fully Customizable – Adjust period, standard deviation, and colors to match your strategy.
Multi-Timeframe Friendly – Works on any chart, from scalping to swing trading.
How to Use
Squeeze Plays – Watch for band tightening; breakouts often follow.
Reversal Signals – Extreme touches combined with candlestick rejection may indicate turning points.
Trend Riding – Price “walking the band” can confirm strong momentum.
This indicator is ideal for traders who want a clear visual of volatility shifts, helping to anticipate when markets are likely to break out or revert to the mean.
