Pivot of Pivot Reversal Strategy [QuantNomad]Continue looking for more signifcant pivot points.
This script is based on my "Significant Pivot Reversal Strategy".
In this strategy I use concept of pivot of pivot points.
So for PoP I require that pivot highs point should have 2 lower pivot highs points around them and pivot low 2 higher pivot lows points.
Transparent lines represent usual pivot levels ints.
Not transparent lines represent pivot of pivot levels.
Link to original script:
In den Scripts nach "pivot points" suchen
Trendlines & SR ZonesIt's a comprehensive indicator (Pine Script v6) that represents two powerful technical analysis tools: automatic trendline detection based on pivot points and volume delta analysis with support/resistance zone identification. This overlay indicator helps traders identify potential trend directions and key price levels where significant buying or selling pressure has occurred.
Features: =
1. Price Trendlines
The indicator automatically identifies and draws trendlines based on pivot points, creating dynamic support and resistance levels.
Key Components:
Pivot Detection: Uses configurable left and right bars to identify significant pivot highs and lows
Trendline Filtering: Only draws downward-sloping resistance trendlines and upward-sloping support trendlines
Zone Creation: Creates filled zones around trendlines based on average price volatility
Automatic Management: Maintains only the 3 most recent significant trendlines to avoid chart clutter
Customization Options:
Left/Right Bars for Pivot: Adjust sensitivity of pivot detection (default: 10 bars each side)
Extension Length: Control how far trendlines extend past the second pivot (default: 50 bars)
Average Body Periods: Set the lookback period for volatility calculation (default: 100)
Tolerance Multiplier: Adjust the width of the trendline zones (default: 1.0)
Color Customization: Separate colors for high (resistance) and low (support) trendlines and their fills
2. Volume Delta % Bars
The indicator analyzes volume distribution across price levels to identify significant supply and demand zones.
Key Components:
Volume Profile Analysis: Divides the price range into rows and calculates volume delta at each level
Delta Visualization: Displays horizontal bars showing the percentage difference between buying and selling volume
Zone Identification: Automatically identifies the most significant supply and demand zones
Visual Integration: Connects volume delta bars with corresponding support/resistance zones on the price chart
Customization Options:
Lookback Period: Set the number of bars to analyze for volume (default: 200)
Price Rows: Control the granularity of the volume analysis (default: 50 rows)
Delta Sections: Adjust the number of horizontal delta bars displayed (default: 20)
Panel Appearance: Customize width, position, and direction of the delta panel
Zone Settings: Control the number of supply/demand zones and their extension (default: 3 zones)
How It Works-
Trendline Logic:
The script continuously scans for pivot highs and lows based on the specified left and right bars
When a pivot is detected, it creates a horizontal line at that price level
The script then looks for the previous pivot of the same type (high or low)
It connects these pivots with a trendline, extending it based on the user-specified setting
A parallel line is created to form a zone, with the distance based on average price volatility
The script filters out invalid trendlines (upward-sloping resistance and downward-sloping support). Only the 3 most recent trendlines are maintained to prevent chart clutter
Volume Delta Logic:
The script divides the price range over the lookback period into the specified number of rows
For each bar in the lookback period, it categorizes volume as bullish (close > open) or bearish (close < open). This volume is assigned to the appropriate price level based on the HLC3 price.
The price levels are grouped into sections, and the net delta (bullish - bearish volume) is calculated for each Horizontal bars are drawn to represent these delta percentages.
The most significant positive and negative deltas are identified and displayed as support and resistance zones. These zones are extended to the left on the price chart and connected to the delta panel with dotted lines.
Ideal Timeframes:
The indicator is versatile and can be used across multiple timeframes, but it performs optimally on specific timeframes depending on your trading style:
For Day Trading:
Optimal Timeframes: 15-minute to 1-hour charts
Why: These timeframes provide a good balance between noise reduction and sufficient volume data. The volume delta analysis is particularly effective on these timeframes as it captures intraday accumulation/distribution patterns while the trendlines remain reliable enough for intraday trading decisions.
For Swing Trading:
Optimal Timeframes: 1-hour to 4-hour charts
Why: These timeframes offer the best combination of reliable trendline formation and meaningful volume analysis. The trendlines on these timeframes are less prone to whipsaws, while the volume delta analysis captures multi-day trading sessions and institutional activity.
For Position Trading:
Optimal Timeframes: Daily and weekly charts
Why: On these higher timeframes, trendlines become extremely reliable as they represent significant market structure points. The volume delta analysis reveals longer-term accumulation and distribution patterns that can define major support and resistance zones for weeks or months.
Timeframe-Specific Adjustments:
Lower Timeframes (1-15 minutes):
Reduce left/right bars for pivots (5-8 bars)
Decrease lookback period for volume delta (50-100 bars)
Increase tolerance multiplier (1.2-1.5) to account for higher volatility
Higher Timeframes (Daily+):
Increase left/right bars for pivots (15-20 bars)
Extend lookback period for volume delta (300-500 bars)
Consider increasing the number of price rows (70-100) for more detailed volume analysis
Usage Guidelines-
For Trendline Analysis:
Use the trendlines as dynamic support and resistance levels
Price reactions at these levels can indicate potential trend continuation or reversal points
The filled zones around trendlines represent areas of price volatility or uncertainty
Consider the slope of the trendline as an indication of trend strength
For Volume Delta Analysis:
The horizontal delta bars show where buying or selling pressure has been concentrated
Green bars indicate areas where buying volume exceeded selling volume (demand)
Red bars indicate areas where selling volume exceeded buying volume (supply)
The highlighted supply and demand zones on the price chart represent significant price levels
These zones can act as future support or resistance areas as price revisits them
Customization Tips:
Trendline Sensitivity: Decrease left/right bars values to detect more pivots (more sensitive) or increase them for fewer, more significant pivots
Zone Width: Adjust the tolerance multiplier to make trendline zones wider or narrower based on your trading style
Volume Analysis: Increase the lookback period for a longer-term volume profile or decrease it for more recent activity
Visual Clarity: Adjust colors and transparency settings to match your chart theme and preferences
Conclusion:
This indicator provides traders with a comprehensive view of both trend dynamics and volume-based support/resistance levels. With these two analytical approaches, the indicator offers valuable insights for identifying potential entry and exit points, trend strength, and key price levels where significant market activity has occurred. The extensive customization options allow traders to adapt the indicator to various trading styles and timeframes, with optimal performance on 15-minute to daily charts depending on their trading horizon.
Chart Attached: NSE HINDZINC, EoD 12/12/25
DISCLAIMER: This information is provided for educational purposes only and should not be considered financial, investment, or trading advice. Please do boost if you like it. Happy Trading.
Dynamic Support and Resistance with Trend LinesMain Purpose
The indicator identifies and visualizes dynamic support and resistance levels using multiple strategies, plus it includes trend analysis and trading signals.
Key Components:
1. Two Support/Resistance Strategies:
Strategy A: Matrix Climax
Identifies the top 10 (configurable) most significant support and resistance levels
Uses a "matrix" calculation method to find price levels where the market has historically reacted
Shows these as horizontal lines or zones on the chart
Strategy B: Volume Extremes
Finds support/resistance levels based on volume analysis
Looks for areas where extreme volume occurred, which often become key price levels
2. Two Trend Line Systems:
Trend Line 1: Pivot Span
Draws trend lines connecting pivot high and pivot low points
Uses configurable pivot parameters (left: 5, right: 5 bars)
Creates a channel showing the trend direction
Styled in pink/purple with dashed lines
Trend Line 2: 5-Point Channel
Creates a channel based on 5 pivot points
Provides another perspective on trend direction
Solid lines in pink/purple
3. Trading Signals:
Buy Signal: Triggers when Fast EMA (9-period) crosses above Slow EMA (21-period)
Sell Signal: Triggers when Fast EMA crosses below Slow EMA
Displays visual shapes (labels) on the chart
Includes alert conditions you can set up in TradingView
4. Visual Features:
Dashboard: Shows key information in a table (top-right by default)
Visual Matrix Map: Displays a heat map of support/resistance zones
Color themes: Dark Mode or Light Mode
Timezone adjustment: For accurate time display
5. Customization Options:
Universal lookback length (100 bars default)
Projection bars (26 bars forward)
Adjustable transparency for different elements
Multiple calculation methods available
Fully customizable colors and line styles
What Traders Use This For:
Entry/Exit Points: The EMA crossovers provide clear buy/sell signals
Risk Management: Support/resistance levels help set stop-losses and take-profit targets
Trend Confirmation: Multiple trend lines confirm trend direction
Key Price Levels: Identifies where price is likely to react (bounce or break through)
The indicator is quite feature-rich and combines technical analysis elements (pivots, EMAs, volume, support/resistance) into one comprehensive tool for trading decisions.
MACD Scaled Overlay█ OVERVIEW
The "MACD Scaled Overlay" indicator is an advanced version of the classic MACD (Moving Average Convergence Divergence) oscillator that displays signals directly on the price chart. Instead of a traditional separate panel, the MACD line, signal line, and histogram are scaled and overlaid on the price chart, making it easier to identify key price levels and potential reversal points. The indicator also supports the detection of divergences (regular and hidden) and offers extensive customization options, such as adjusting colors, line thickness, and enabling/disabling visual elements.
█ CONCEPTS
The "MACD Scaled Overlay" indicator is designed to simplify trend and reversal analysis by integrating MACD signals with the price chart. The MACD Scaled Overlay is scaled relative to the average candle range, allowing the lines and histogram to dynamically adjust to market volatility. Additionally, the indicator enables the detection of divergences (bullish and bearish, both regular and hidden) based on the traditional MACD histogram (before scaling), ensuring consistency with classic divergence analysis. The indicator is most effective when combined with other technical analysis tools, such as Fibonacci levels, pivot points, or trend lines.
█ MACD Calculations and Scaling
The indicator is based on the classic MACD formula, which includes:
-MACD Line: The difference between the fast EMA (default: 12) and the slow EMA (default: 26).
-Signal Line: The EMA of the MACD line (default: 9).
-Histogram: The difference between the MACD line and the signal line.
Scaling is achieved by normalizing the MACD values relative to the standard deviation and the average candle range. This makes the lines and histogram dynamically adjust to market volatility, improving their readability and utility on the price chart. The scaling formulas are:
-MACD Scaled: macdNorm * avgRangeLines * scaleFactor
-Signal Scaled: signalNorm * avgRangeLines * scaleFactor
-Histogram Scaled: histNorm * avgRangeHist * scaleFactor
Where:
-macdNorm and signalNorm are the normalized MACD and signal line values.
-avgRangeLines and avgRangeHist are the average candle ranges.
-scaleFactor is the scaling multiplier (default: 2).
The positioning of the lines and histogram is relative to the candle midpoint (candleMid = (high + low) / 2), ensuring proper display on the price chart. Divergences are calculated based on the traditional MACD histogram (before scaling), maintaining consistency with standard divergence detection methodology.
█INDICATOR FEATURES
-Dynamic MACD and Signal Lines: Scaled and overlaid on the price chart, facilitating the identification of reversal points.
-Histogram: Displays the difference between the MACD and signal lines, dynamically adjusted to market volatility.
-Divergence Detection: Ability to detect regular and hidden divergences (bullish and bearish) based on the traditional MACD histogram, with options to enable/disable their display.
-Visual Customization: Options to adjust colors, line thickness, transparency, and enable/disable elements such as the zero line, MACD line, signal line, or histogram.
-Smoothing: Smoothing length for lines (default: 1) and histogram (default: 3). Smoothing may delay crossover signals, which should be considered during analysis.
-Alerts: Alert conditions for MACD and signal line crossovers, enabling notifications for potential buy/sell signals.
█ HOW TO SET UP THE INDICATOR
-Add the "MACD Scaled Overlay" indicator to your TradingView chart.
-Configure parameters in the settings, such as EMA lengths, scaling multiplier, or smoothing periods, to match your trading style.
-Enable or disable the display of the zero line, MACD line, signal line, or histogram based on your needs.
-Adjust colors and line thickness in the "Style" section and transparency settings in the input section to optimize visualization.
█ HOW TO USE
Add the indicator to your chart, configure the parameters, and observe the interactions of the price with the MACD line, signal line, and histogram to identify potential entry and exit points. Key signals include:
-MACD and Signal Line Crossovers: A crossover of the MACD line above the signal line may indicate a buy signal (bullish cross), while a crossover below the signal line may indicate a sell signal (bearish cross).
-Crossings Through the Price Line (Zero): The MACD line or histogram crossing the price line (candle midpoint) may indicate a change in momentum. For example, the histogram moving from negative to positive values near the price line may signal increasing bullish trend strength.
-Divergences: Detection of regular and hidden divergences (bullish and bearish) based on the traditional MACD histogram can help predict trend reversals. Divergences are not standalone signals, as they are delayed by the specified pivot length (default: 3). However, they help strengthen the significance of other signals, such as crossovers or support/resistance levels.
The indicator is most effective when combined with other tools, such as Fibonacci levels, pivot points, or support/resistance lines, to confirm signals.
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.
Dynamic Support and Resistance V2 | AnonycryptousThe Dynamic Support and Resistance V2 indicator, an easy tool to identify key support, resistance, trendline levels, pivot points and volume data.
Pivot Points.
Calculates support, resistance and trendline levels using pivot points, which are derived from the high, low, and close prices of previous trading periods.
Customize the pivot calculation by using Close' or 'High/Low' and adjusting the lookback periods for both the left and right sides of the pivot calculation.
Pivot points are crucial for forecasting potential market turning points, so it allows traders to adapt the indicator to different market conditions and timeframes.
By using pivot points, traders can spot reversal and consolidation levels or trendlines early on, allowing them to react to them in time.
Volume Levels.
This option focuses on identifying support and resistance levels based on volume data, specifically the Point of Control.
The POC is the highest traded volume price level during a time period.
This POC calculation, allow traders to areas of significant trading levels as support or resistance zones.
Volume-based levels gives insights into market sentiment and showes strong support and resistance based on trading volume.
Traders can choose between pivot-based and volume-based levels or use both simultaneously, depending on their analysis.
The indicator offers custom colors, so the trader can customize their visual analysis to their own style.
It calculates the importance of each level based on the number of touches and the duration it holds.
This indicator is intended for educational and informational purposes only and should not be considered financial advice.
Trading involves significant risk, and you should consult with a financial advisor before making any trading decisions.
The performance of this indicator is not guaranteed, and past results do not predict future performance.
Use at your own risk.
Smart Elliott Wave [The_lurker]🔷 Smart Elliott Wave – موجات إليوت الذكية
A professional indicator for automatically detecting and analyzing Elliott Wave patterns on the chart. Built on classical Elliott Wave theory, it enhances accuracy with dynamic Fibonacci validation and geometric logic—solving the most common issues traders face when applying Elliott Wave manually: complexity, subjectivity, and misinterpretation of corrections.
🎯 Key Features
Smart Elliott Wave offers a layered intelligent system that:
- Automatically detects impulsive and corrective wave structures
- Validates wave formations using Fibonacci rules
- Highlights potential reversal zones (PRZ)
- Sends instant alerts for newly detected patterns
- Supports both bullish and bearish trends
- Includes fully customizable user settings
🧠 Core Concept
The indicator analyzes price movement over time using pivot points (discovered via `ta.pivothigh` and `ta.pivotlow`) to detect wave structures that conform to Elliott Wave sequencing:
- Impulse Wave: 0-1-2-3-4-5
- Simple Correction: ABC
- Complex Correction: WXY
Each structure is validated through a strict set of logical rules combined with Fibonacci ratio checks to ensure pattern integrity and reduce false signals.
🧩 Wave Structure Components
1️⃣ Impulse Waves
- Wave 3 is not the shortest
- Wave 4 does not overlap Wave 1
- Waves 1, 3, and 5 are impulsive; Waves 2 and 4 are corrective
- Fibonacci validation can be applied to Waves 2 and 4 if enabled
2️⃣ Simple Corrections (ABC)
- Wave B partially retraces Wave A
- Wave C completes the structure without invalid overlap
- Fibonacci ratios validate the symmetry of A, B, and C (if enabled)
3️⃣ Complex Corrections (WXY)
- Only used if ABC structure is insufficient
- Requires 6 sequential pivot points: W, X, Y
- W and Y are corrective; X is a linking wave
- Follows both structural and ratio-based validations
📏 Dynamic Fibonacci Validation
When Enable Fibonacci Rules is active:
- Validates against common ratios:
`38.2%`, `50%`, `61.8%`, `78.6%`, `127.2%`, `161.8%`
- Adjustable **Fibonacci Tolerance** allows for controlled deviation
- Patterns are ignored if ratios fall outside the accepted range
🔮 Potential Reversal Zones (PRZ)
- Calculated from the most recent completed impulse wave
- Uses Fibonacci extensions to project PRZ ahead of price
- Customizable visibility and color for each ratio
- Used as dynamic take-profit or stop-loss zones
🖍️ Dual Trend Detection & Wave Coloring
- Supports both bullish and bearish patterns
- Automatic wave coloring for quick visual recognition:
- 🟦 Blue: Bullish waves
- 🟥 Red: Bearish waves
- Optional fill color for correction zones
🔔 Smart Alert System
Instant alerts are triggered when a valid wave pattern is confirmed:
- New impulse wave detected
- ABC correction appears
- Complex WXY correction formed
> Alerts are triggered only after the bar closes to prevent repainting.
⚙️ Indicator Settings
📌 Wave Detection Settings
- Pivot Left Strength: Bars to the left used for pivot detection
- Pivot Right Strength: Bars to the right for confirmation (0 = real-time)
- Enable Fibonacci Rules: Toggle Fibonacci ratio validation
- Fibonacci Tolerance: Allowed deviation in percentage
🎨 Display Settings
- Show Previous Patterns: Toggle between all patterns or only the latest
- Fill correction zones with color
- Customize wave and PRZ color schemes
📉 PRZ Settings
- Show/hide specific Fibonacci ratios
- Customize each PRZ color
- Set maximum bar extension for PRZ display
🔕 Alert Settings
- Enable or disable alerts for each type of pattern
📚 Practical Use Cases
- Daily or intraday price structure analysis
- Combine with RSI, MACD, or momentum indicators
- Filter weak signals using Fibonacci-based pattern validation
- Use PRZ zones as dynamic entry/exit targets
- Learn and reinforce Elliott Wave theory through real-time examples
📝 Important Notes
- Setting `Pivot Right = 0` allows for real-time pattern previews (may repaint)
- Disabling Fibonacci validation increases pattern count but reduces accuracy
- TradingView limits to 500 visual objects (labels, boxes, lines); older patterns may be removed
- PRZ extends up to 100 bars or 0.618 of the previous impulse duration by default
⚠️ Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses.
🔷 Smart Elliott Wave – موجات إليوت الذكية
مؤشر احترافي لرصد وتحليل أنماط موجات إليوت تلقائيًا على الرسم البياني، يعتمد على المبادئ الكلاسيكية للنظرية مع تعزيزها بالتحقق الرياضي والهندسي، ويهدف إلى تجاوز العقبات التي يواجهها معظم المتداولين عند تطبيق موجات إليوت يدويًا، مثل صعوبة التحديد، التقديرات الذاتية، وتشويش التصحيحات.
🎯 ما الذي يميز هذا المؤشر؟
يُقدّم Smart Elliott Wave نظامًا تراكبيًا ذكيًا يقوم بـ:
رصد تلقائي للموجات (الدافعة والتصحيحية)
التحقق من صحة النموذج باستخدام قواعد فيبوناتشي
عرض مناطق الانعكاس المحتملة (PRZ)
توليد تنبيهات لحظية عند تشكّل أنماط جديدة
دعم الاتجاهين (الصاعد والهابط)
واجهة إعدادات مرنة قابلة للتخصيص الكامل
🧠 الفكرة الأساسية
يعتمد المؤشر على تحليل حركة السعر عبر تسلسل زمني من النقاط المحورية (Pivots)، والتي تُكتشف باستخدام دوال مدمجة مثل ta.pivothigh وta.pivotlow. ثم يُبني فوق هذه النقاط نماذج هندسية متوافقة مع تسلسل موجات إليوت:
الموجة الدافعة (Impulse): تسلسل 0-1-2-3-4-5
التصحيح البسيط (ABC)
التصحيح المعقد (WXY)
ويتم التحقق من كل نموذج اعتمادًا على قواعد إليوت + نسب فيبوناتشي، ما يضمن موضوعية التصنيف، ودقة التحديد.
🧩 مكوّنات التحليل:
1️⃣ الموجات الدافعة (Impulse Waves):
يُشترط أن تكون الموجة الثالثة غير الأقصر.
لا تتداخل الموجة الرابعة مع نطاق الموجة الأولى.
تأكيد أن الموجات 1 و3 و5 دافعة، و2 و4 تصحيحية.
يتم التحقق من نسب تصحيح الموجتين 2 و4 حسب قواعد فيبوناتشي عند تفعيلها.
2️⃣ التصحيح البسيط (ABC):
B تصحيح جزئي للموجة A.
C تُكمل الهيكل بدون تداخل مع A.
يتم التحقق من أطوال الموجات وفق نسب فيبوناتشي لضمان التناسق.
3️⃣ التصحيح المعقد (WXY):
لا يتم تفعيله إلا عند فشل ABC في تفسير النمط.
يتطلب 6 نقاط محورية متسلسلة: W, X, Y.
W وY تصحيحيتان، وX رابط مركزي.
يخضع أيضًا لقواعد النسب والتماثل البنائي.
📏 التحقق باستخدام نسب فيبوناتشي:
عند تفعيل خاصية Enable Fibonacci Rules، يتم التحقق الصارم من نسب تصحيح الموجات:
النسب المعتمدة:
38.2%, 50%, 61.8%, 78.6%, 127.2%, 161.8%
إذا لم تكن الموجة ضمن نطاق النسبة + نسبة التسامح (Tolerance)، يتم تجاهل النموذج.
يُستخدم هذا التحقق أيضًا لرسم مناطق الانعكاس المحتملة (PRZ).
🔮 مناطق الانعكاس المحتملة (PRZ)
تُحسب PRZ باستخدام نسب فيبوناتشي انطلاقًا من نهاية آخر موجة دافعة.
تُعرض بشكل مستطيلات شفافة أو ملونة.
يمكن تخصيص كل نسبة لونًا وشكلًا خاصًا.
تُستخدم PRZ كأداة توقع للموجة التالية أو لتحديد أهداف وقف الخسارة وجني الأرباح ديناميكيًا.
🖍️ دعم الاتجاهين وتلوين الموجات:
يدعم المؤشر النماذج الصاعدة والهابطة بشكل تلقائي.
يتم استخدام تلوين بصري لتسهيل التمييز:
الأزرق: للموجات الصاعدة
الأحمر: للموجات الهابطة
لون تعبئة مخصص لمناطق التصحيح
🔔 نظام التنبيهات الذكية
يحتوي المؤشر على تنبيهات تلقائية يتم تفعيلها عند اكتمال أي نمط جديد.
يدعم التنبيهات التالية:
موجة دافعة جديدة
تصحيح بسيط ABC
تصحيح معقد WXY
التنبيهات تُطلق بعد إغلاق الشمعة التي تحقق فيها النموذج (غير فوري Repainting-safe)
⚙️ إعدادات المؤشر
📌 إعدادات تحليل الموجة:
Pivot Left Strength: عدد الأعمدة (bars) إلى اليسار لتحديد الانعكاس
Pivot Right Strength: الأعمدة إلى اليمين لتأكيد الانعكاس (0 يعني تنبؤ لحظي)
Enable Fibonacci Rules: تفعيل/تعطيل التحقق من فيبوناتشي
Fibonacci Tolerance: نسبة التفاوت المقبولة بالنسب المئوية
🎨 إعدادات العرض:
Show Previous Patterns: إظهار كل الأنماط المكتشفة أو آخر نمط فقط
PRZ Settings:
إظهار أو إخفاء نسب معينة
تخصيص الألوان
تحديد امتداد مربع PRZ زمنيًا (Max Bars)
🔕 إعدادات التنبيهات:
تفعيل/تعطيل تنبيه عند كل نمط جديد
📚 حالات الاستخدام العملية:
تحليل الحركة السعرية في بداية كل جلسة
دمج المؤشر مع أدوات مثل RSI أو MACD للحصول على إشارات مركّبة
مراقبة الموجات التوسعية والتصحيحية على فواصل 4H / Daily
استخدام PRZ كأداة لتحديد الأهداف أو وقف الخسارة
التعلم العملي لنظرية إليوت من خلال أمثلة حية
📝 ملاحظات مهمة:
تعيين Pivot Right = 0 يعني نقاط فورية (قد يعاد رسمها لاحقًا)
تعطيل فيبوناتشي يزيد عدد النماذج، لكن قد يُضعف دقتها
TradingView يحد عدد الكائنات المرسومة (Labels, Boxes, Lines) إلى 500، مما قد يؤدي إلى حذف الأنماط الأقدم تلقائيًا
PRZ يمتد افتراضيًا حتى 100 شمعة، أو 0.618 من مدة الموجة الدافعة السابقة
⚠️ إخلاء مسؤولية:
هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
Multi Pivot Point & Central Pivot Range - Nadeem Al-QahwiThis indicator combines four advanced trading modules into one flexible and easy-to-use script:
Traditional Pivot Points:
Calculates classic support and resistance levels (PP, R1–R5, S1–S5) based on previous session data. Ideal for identifying key turning points and mapping out the daily, weekly, or monthly structure.
Camarilla Levels:
Provides six upper and lower pivot levels (H1–H6, L1–L6) derived from volatility and closing price formulas. Especially effective for intraday reversal, mean reversion, and finding overbought/oversold extremes.
Central Pivot Range (CPR):
Plots the median, top, and bottom of the value area each session. CPR width instantly highlights whether the market is likely to trend (narrow CPR) or remain range-bound (wide CPR).
Developing CPR projects the evolving range for the current period—essential for real-time analysis and pre-market planning.
Dynamic Zone Levels (DZL):
Automatically detects and highlights clusters of pivots to reveal high-probability support/resistance zones, filtering out market “noise.”
DZL alerts notify you whenever price breaks or retests these key areas, making it easier to spot momentum trades and avoid false signals.
Key Features:
Multi-timeframe flexibility: Use with daily, weekly, monthly, yearly, or custom timeframes—even rare ones like biyearly and decennial.
Modular design: Activate or hide any system (Traditional, Camarilla, CPR, DZL) as you need.
Bilingual interface: Every setting and label is shown in both English and Arabic.
Full customization: Control visibility, color, style, and placement for every level and label.
Historical depth: Plot up to 5,000 pivot/zones back for deep analysis and backtesting.
Smart alerts: Get instant notifications on true S/R breakouts or retests (from DZL).
How to Use:
Trend Trading:
Watch for a very narrow CPR to identify potential trending days—trade in the breakout direction above/below the CPR.
Range Trading:
When CPR is wide, expect sideways movement. Fade reversals at R1/S1 or within the CPR boundaries.
Breakouts:
Use DZL alerts to capture momentum as price breaks or retests dynamic support/resistance zones.
Multi-Timeframe Confluence:
Combine CPR and pivot levels from multiple timeframes for higher-probability entries and exits.
All calculations and logic are fully open.
RV- Dynamic Trend AnalyzerRV Dynamic Trend Analyzer
The RV Dynamic Trend Analyzer is a powerful TradingView indicator designed to help traders identify and capitalize on trends across multiple time frames—daily, weekly, and monthly. With dynamic adjustments to key technical indicators like EMA and MACD, the tool adapts to different chart periods, ensuring more accurate signals. Whether you are swing trading or holding longer-term positions, this indicator provides reliable buy/sell signals, breakout opportunities, and customizable visual elements to enhance decision-making. Its intelligent use of EMAs and MACD values ensures high potential returns, making it suitable for traders seeking strong, data-driven strategies. Below are its core features and their respective benefits.
Supertrend Indicator:
Importance: The Supertrend is a trend-following tool that helps traders identify the market’s direction by offering clear buy and sell signals based on price movement relative to the Supertrend line.
Benefits:
Helps filter out market noise and enables traders to stay in trends longer.
The pullback detection feature enhances trade timing by identifying potential entry points during retracements.
ATH/ATL & 52-Week High/Low with Candle Coloring:
Importance: Tracking all-time highs (ATH), all-time lows (ATL), and 52-week high/low levels helps traders identify key support and resistance levels.
Benefits:
Offers insights into the strength of price movements and potential reversal zones.
Candle coloring improves visual analysis, allowing quick identification of bullish or bearish conditions at critical levels.
Multi-Time Frame Analysis
Importance: The ability to view indicators like RSI and MACD across multiple time frames provides a more in-depth and comprehensive view of market behavior, allowing traders to make informed decisions that align with both short-term and long-term trends.
Benefits:
Align Strategies Across Time frames: By using multiple time frames, traders can align their strategies with larger trends (such as weekly or daily) while executing trades on lower time frames (like 1-minute or 5-minute charts). This improves the accuracy of trade entries and exits.
Reduce False Signals: Viewing key technical indicators like RSI and MACD across different time frames reduces the likelihood of false signals by offering a broader market context, filtering out noise from smaller time frames.
Customization of Table Display: Traders can customize the position and size of a table that displays RSI and MACD values for selected time frames. This flexibility enhances visibility and ease of analysis.
Time frame-Specific Data: The code allows for displaying RSI and MACD data for up to seven different time frames, making it highly customizable for traders depending on their preferred analysis period.
Visual Clarity: The table displays key values such as RSI and MACD histogram readings in a visually clear format, with color coding to quickly indicate overbought/oversold levels or MACD crossovers.
Pivot Points:
Importance: Pivot points serve as key support and resistance levels that help predict potential price movements.
Benefits:
Assists in identifying potential reversal zones and breakout points, aiding in trade planning.
Displaying pivot points across multiple time frames enhances market insight and improves strategic planning.
Quarterly Earnings Table:
Importance: Understanding a company’s quarterly earnings releases is crucial, as these events often lead to significant price volatility. Traders can leverage this information to adjust their strategies around earnings reports and prevent unexpected losses.
Benefits:
Helps traders anticipate potential price movements due to earnings reports.
Allows traders to avoid sudden losses by being aware of important earnings announcements and adjusting positions accordingly.
Customizable Visuals for Traders:
Dark Mode: Toggle between dark and light themes based on your chart's color scheme.
Mini Mode: A condensed version that visually simplifies the data, making it quicker to interpret through color-coded traffic lights (green for positive, red for negative).
Table Size & Position: Customize the size and position of the table for better visibility on your charts.
Data Period (FQ vs FY): Easily switch between displaying quarterly or yearly data based on the selected period.
Top-Left Cell Display: Option to display Free Float or Market Cap in the top-left cell for quick reference.
Exponential Moving Averages (EMAs) with Adjustable Lengths:
Importance: EMAs are essential for identifying trends and generating reliable buy/sell signals. The indicator plots four EMAs that dynamically adjust based on the selected time frame.
Benefits:
Dynamic Time frame Logic: EMA lengths and sources automatically adapt based on whether the user selects daily, weekly, or monthly time frames. This ensures the EMAs are relevant for the chosen strategy.
Multiple EMAs: By incorporating four different EMAs, users can observe both short-term and long-term trends simultaneously, improving their ability to identify key trend shifts.
Breakout Arrow Functionality:
Importance: This feature visually signals potential buy/sell opportunities based on the interaction between EMAs and MACD crossovers.
Benefits:
Crossover Signals: Arrows are plotted when EMAs and MACD cross, indicating breakout opportunities and aiding in quick trade decisions.
RSI Filter Option: Users can apply an optional RSI filter to refine buy/sell signals, reducing false signals and improving overall accuracy.
Disclaimer:
Before engaging in actual trading, we strongly recommend back testing the this indicator to ensure it fits your trading style and risk tolerance. Be sure to adjust your risk-reward ratio and set appropriate stop-loss levels to safeguard your investments. Proper risk management is key to successful trading.
Pivot-based Swing Highs and LowsRelease Notes for Pivot-based Swing Highs and Lows Indicator with HH, HL, LH, LL and Labels
Version 1.0.0
Release Date: 29th Sept 2024
Overview:
This Pine Script version 5 indicator is designed to identify and display Swing Highs and Swing Lows based on pivot points. The indicator visually marks Higher Highs (HH), Lower Highs (LH), Higher Lows (HL), and Lower Lows (LL) on the chart. The release introduces an improved visual representation with dotted lines and colored labels for easy identification of market structure, using plotshape() and line.new().
Key Features:
1. Pivot-Based Swing Identification:
The indicator uses ta.pivothigh() and ta.pivotlow() to detect significant pivot points on the chart.
The length of the pivot can be adjusted through the pivot_length parameter, allowing users to customize the sensitivity of swing identification.
2. Swing Highs and Lows with Labels:
Higher High (HH) and Lower High (LH) points are marked with green downward triangles.
Higher Low (HL) and Lower Low (LL) points are marked with red upward triangles.
The plotshape() function is used to provide clear visual markers, making it easy to spot the changes in market structure.
3. Dotted Line Visuals:
Green Dotted Lines: Connect Higher Highs (HH) and Higher Lows (HL) to their corresponding previous swings.
Red Dotted Lines: Connect Lower Highs (LH) and Lower Lows (LL) to their corresponding previous swings.
The use of color-coded dotted lines ensures better visual understanding of the trend continuation or reversal patterns.
4. Customizable Input:
The user can adjust the pivot_length parameter to fine-tune the detection of pivot highs and lows according to different timeframes or trading strategies.
Usage:
Higher High (HH): Green downward triangle, indicating a new high compared to the previous pivot high.
Lower High (LH): Green downward triangle, indicating a lower high compared to the previous pivot high.
Higher Low (HL): Red upward triangle, indicating a higher low compared to the previous pivot low.
Lower Low (LL): Red upward triangle, indicating a new lower low compared to the previous pivot low.
Dotted Lines: Connect previous swing points, helping users visualize the trend and potential market structure changes.
Improvements:
Label Substitution: In place of label.new() (which might cause issues in some environments), the indicator now uses plotshape() to provide a reliable and visually effective solution for marking swings.
Streamlined Performance: The logic for determining higher highs, lower highs, higher lows, and lower lows has been optimized for smooth performance across multiple timeframes.
Known Limitations:
No Direct Text Labels: Due to the constraints of plotshape(), text labels like "HH", "LH", "HL", and "LL" are not directly displayed. Instead, color-coded shapes are used for easy identification.
How to Use:
Apply the script to your chart via the TradingView Pine Editor.
Customize the pivot_length to suit your trading style or the timeframe you are analyzing.
Monitor the chart for marked Higher Highs, Lower Highs, Higher Lows, and Lower Lows for potential trend continuation or reversal opportunities.
Use the dotted lines to trace the evolution of market structure.
Please share your comments, thoughts. Also please follow me for more scripts in future. Mean time Happy Trading :)
HH LL HL LH MarkerHH LL HL LH Marker
The "HH LL HL LH Marker" is a versatile technical analysis tool designed to help traders identify and visualize key pivot points in price action. It highlights four types of pivot points: Higher High (HH), Lower Low (LL), Higher Low (HL), and Lower High (LH), aiding in spotting potential trend reversals or continuations.
Features:
Customizable Inputs: Adjust the number of bars to look back on for pivot calculation, and choose which pivot types to display.
ZigZag Line: Optionally display a ZigZag line connecting the identified pivot points for a clearer visualization of price swings.
Visual Marker: Each pivot point type is marked with a distinct label, making it easy to identify on the chart.
How to Use:
Higher High (HH): Indicates when the current high is higher than the previous two highs, suggesting potential upward momentum.
Lower Low (LL): Signals when the current low is lower than the previous two lows, indicating potential downward momentum.
Higher Low (HL): Marks a higher low compared to the two previous lows, potentially signaling a bullish trend reversal.
Lower High (LH): Identifies a lower high compared to the two previous highs, potentially indicating a bearish trend reversal.
Usage Tips:
Combine with other technical indicators or chart patterns for comprehensive analysis.
Adjust input parameters according to the timeframe and asset being traded for optimal performance.
Note: This indicator is for educational purposes only and should be used alongside other tools and analysis techniques for making informed trading decisions.
Seasonality ForecastThe Seasonality Forecast indicator equips TradingView users with a detailed analysis of seasonal price trends, utilizing historical data across daily, weekly, and monthly timeframes. By calculating average price movements over selectable periods up to 10 years, it overlays a seasonal chart on the price chart to elucidate potential trends.
Operational Mechanics
Historical Data Analysis: The indicator processes historical data, calculating average price changes from one bar to the next. This forms the basis of the seasonal chart, offering insights into long-term price movements.
Seasonal Chart Overlay: Adjustments are made to ensure the seasonal chart aligns with the price chart in height, providing a unified view. The de-trending process standardizes each year's data, facilitating direct comparison across time without the influence of overarching price trends.
Customization and Methodology
User Inputs: Traders can tailor the analysis with settings for the lookback period, future projection, and smoothing, aligning the tool with diverse trading strategies.
De-trending and Smoothing: The de-trending method isolates cyclical patterns by removing linear trends, while smoothing techniques reduce data noise, sharpening the focus on meaningful trends.
Pivot Point Analysis: It uses algorithms for detecting pivot points based on historical price actions, signaling potential market turns. This analytical method is crucial for identifying shifts that may indicate future market directions.
Technical Foundations
The Seasonality Forecast indicator leverages known financial analysis techniques to enhance its effectiveness:
Time Series Analysis: Fundamental to the indicator's operation is time series analysis, particularly focusing on cyclical patterns within market data. This approach underpins the seasonal trend analysis, offering a structured view of historical price behavior.
Statistical Smoothing: Smoothing methods, such as moving averages, are applied to the seasonal data to clarify trends by mitigating volatility and short-term fluctuations, making underlying patterns more apparent.
Technical Analysis for Pivot Points: The calculation of pivot points draws on principles of technical analysis, identifying areas where the market's direction has historically shown a tendency to change. This aspect of the tool is instrumental in forecasting potential market movements.
Practical Application
This indicator is invaluable for traders aiming to leverage historical market performance in their analysis, enabling:
Strategic planning based on seasonal patterns, enhancing entry and exit decisions.
Adjusted risk management strategies in anticipation of seasonal volatility.
Identification of potential trend reversals or continuations at pivotal moments in the market cycle.
By integrating historical analysis with technical insights, the Seasonality Forecast indicator provides a nuanced tool for traders looking to deepen their market analysis and refine their trading strategies with a historical perspective.
Trend Finder A Trend Finder is a specialized indicator designed to analyze market trends by combining pivot points and candlestick patterns. This hybrid approach aims to provide more accurate signals for identifying potential market directions. Here's a refined description of its features and usage:
**Overview:**
A Trend Finder indicator utilizes a combination of pivot points and candlestick patterns to offer insights into the prevailing market trend. By incorporating both elements, it seeks to enhance the accuracy of trend analysis.
**How to Use Trend Finder:**
Using the Trend Finder is straightforward and involves interpreting the signals provided by different coloured boxes:
1. **Green Box (Bull Box):**
- Indicates a potential uptrend in the market.
- Highlights possible market direction and key points.
- Offers insights into bullish market conditions.
2. **Red Box (Downtrend Box):**
- Signals a potential downtrend in the market.
- Illustrates possible downward market direction and pivotal points.
- Provides an estimate of potential market decline using pivot point calculations.
**Customization Options:**
The Trend Finder comes with customization options to tailor the analysis based on candlestick patterns. Users can adjust these settings to refine the accuracy of trend identification.
**Additional Features:**
The indicator includes extra features to enhance its functionality:
- Displays the previous day's high, low, and close values.
- Utilizes this historical data to suggest potential trend directions.
- Enables users to make informed trading decisions based on past market behaviour.
**Usage Guidelines:**
Traders can use the Trend Finder by observing the signals within the coloured boxes, considering the pivot point calculations, and factoring in candlestick patterns. The indicator's flexibility allows users to adjust settings to better align with their preferred trading strategies.
In essence, the Trend Finder serves as a comprehensive tool for traders seeking a nuanced understanding of market trends. By combining pivotal technical indicators, it aims to provide a more accurate depiction of potential market movements, assisting traders in making informed decisions.
Uptrick: Dynamic Z-Score DivergenceIntroduction
Uptrick: Dynamic Z-Score Divergence is an oscillator that combines multiple momentum sources within a Z-Score framework, allowing for the detection of statistically significant mean-reversion setups, directional shifts, and divergence signals. It integrates a multi-source normalized oscillator, a slope-based signal engine, structured divergence logic, a slope-adaptive EMA with dynamic bands, and a modular bar coloring system. This script is designed to help traders identify statistically stretched conditions, evolving trend dynamics, and classical divergence behavior using a unified statistical approach.
Overview
At its core, this script calculates the Z-Score of three momentum sources—RSI, Stochastic RSI, and MACD—using a user-defined lookback period. These are averaged and smoothed to form the main oscillator line. This normalized oscillator reflects how far short-term momentum deviates from its mean, highlighting statistically extreme areas.
Signals are triggered when the oscillator reverses slope within defined inner zones, indicating a shift in direction while the signal remains in a statistically stretched state. These mean-reversion flips (referred to as TP signals) help identify turning points when price momentum begins to revert from extended zones.
In addition, the script includes a divergence detection engine that compares oscillator pivot points with price pivot points. It confirms regular bullish and bearish divergence by validating spacing between pivots and visualizes both the oscillator-side and chart-side divergences clearly.
A dynamic trend overlay system is included using a Slope Adaptive EMA (SA-EMA). This trend line becomes more responsive when Z-Score deviation increases, allowing the trend line to adapt to market conditions. It is paired with ATR-based bands that are slope-sensitive and selectively visible—offering context for dynamic support and resistance.
The script includes configurable bar coloring logic, allowing users to color candles based on oscillator slope, last confirmed divergence, or the most recent signal of any type. A full alert system is also built-in for key signals.
Originality
The script is based on the well-known concept of Z-Score valuation, which is a standard statistical method for identifying how far a signal deviates from its mean. This foundation—normalizing momentum values such as RSI or MACD to measure relative strength or weakness—is not unique to this script and is widely used in quantitative analysis.
What makes this implementation original is how it expands the Z-Score foundation into a fully featured, signal-producing system. First, it introduces a multi-source composite oscillator by combining three momentum inputs—RSI, Stochastic RSI, and MACD—into a unified Z-Score stream. Second, it builds on that stream with a directional slope logic that identifies turning points inside statistical zones.
The most distinctive additions are the layered features placed on top of this normalized oscillator:
A structured divergence detection engine that compares oscillator pivots with price pivots to validate regular bullish and bearish divergence using precise spacing and timing filters.
A fully integrated slope-adaptive EMA overlay, where the smoothing dynamically adjusts based on real-time Z-Score movement of RSI, allowing the trend line to become more reactive during high-momentum environments and slower during consolidation.
ATR-based dynamic bands that adapt to slope direction and offer real-time visual zones for support and resistance within trend structures.
These features are not typically found in standard Z-Score indicators and collectively provide a unique approach that bridges statistical normalization, structure detection, and adaptive trend modeling within one script.
Features
Z-Score-based oscillator combining RSI, StochRSI, and MACD
Configurable smoothing for stable composite signal output
Buy/Sell TP signals based on slope flips in defined zones
Background highlighting for extreme outer bands
Inner and outer zones with fill logic for statistical context
Pivot-based divergence detection (regular bullish/bearish)
Divergence markers on oscillator and price chart
Slope-Adaptive EMA (SA-EMA) with real-time adaptivity based on RSI Z-Score
ATR-based upper and lower bands around the SA-EMA, visibility tied to slope direction
Configurable bar coloring (oscillator slope, divergence, or most recent signal)
Alerts for TP signals and confirmed divergences
Optional fixed Y-axis scaling for consistent oscillator view
The full setup mode can be seen below:
Input Parameters
General Settings
Full Setup: Enables rendering of the full visual system (lines, bands, signals)
Z-Score Lookback: Lookback period for normalization (mean and standard deviation)
Main Line Smoothing: EMA length applied to the averaged Z-Score
Slope Detection Index: Used to calculate directional flips for signal logic
Enable Background Highlighting: Enables visual region coloring in
overbought/oversold areas
Force Visible Y-Axis Scale: Forces max/min bounds for a consistent oscillator range
Divergence Settings
Enable Divergence Detection: Toggles divergence logic
Pivot Lookback Left / Right: Defines the structure of oscillator pivot points
Minimum / Maximum Bars Between Pivots: Controls the allowed spacing range for divergence validation
Bar Coloring Settings
Bar Coloring Mode:
➜ Line Color: Colors bars based on oscillator slope
➜ Latest Confirmed Signal: Colors bars based on the most recent confirmed divergence
➜ Any Latest Signal: Colors based on the most recent signal (TP or divergence)
SA-EMA Settings
RSI Length: RSI period used to determine adaptivity
Z-Score Length: Lookback for normalizing RSI in adaptive logic
Base EMA Length: Base length for smoothing before adaptivity
Adaptivity Intensity: Scales the smoothing responsiveness based on RSI deviation
Slope Index: Determines slope direction for coloring and band logic
Band ATR Length / Band Multiplier: Controls the width and responsiveness of the trend-following bands
Alerts
The script includes the following alert conditions:
Buy Signal (TP reversal detected in oversold zone)
Sell Signal (TP reversal detected in overbought zone)
Confirmed Bullish Divergence (oscillator HL, price LL)
Confirmed Bearish Divergence (oscillator LH, price HH)
These alerts allow integration into automation systems or signal monitoring setups.
Summary
Uptrick: Dynamic Z-Score Divergence is a statistically grounded trading indicator that merges normalized multi-momentum analysis with real-time slope logic, divergence detection, and adaptive trend overlays. It helps traders identify mean-reversion conditions, divergence structures, and evolving trend zones using a modular system of statistical and structural tools. Its alert system, layered visuals, and flexible input design make it suitable for discretionary traders seeking to combine quantitative momentum logic with structural pattern recognition.
Disclaimer
This script is for educational and informational purposes only. No indicator can guarantee future performance, and trading involves risk. Always use risk management and test strategies in a simulated environment before deploying with live capital.
LBM-Strategy Engine Pro: The Ultimate Confluence IndicatorOverview
Welcome to the Strategy Engine Pro , the ultimate confluence indicator designed for traders who demand precision and full control over their trading signals. This is not just an indicator; it is a complete, customizable strategy-building framework.
It seamlessly integrates three powerful concepts into a single, intuitive tool:
Advanced Moving Average Trend Analysis to define the market context.
An intelligent Support & Resistance Cycle Engine to identify key price levels.
A flexible 10-rule Strategy Builder that lets you design, test, and refine your own entry signals with surgical precision.
Core Features
1. Advanced Moving Average Trend Analysis
The indicator plots 5 fully configurable Moving Averages (MAs). You can choose the Period and Type (SMA, EMA, WMA, HMA, RMA) for each one. But its true power lies in its unique color-coding system, which analyzes the slope and momentum of each MA, not just its price.
MA Color Code:
Green: The MA is in a strong, confirmed uptrend.
Red: The MA is in a strong, confirmed downtrend.
Yellow: The MA is flat or in a transitional (sideways) phase.
This provides an instant visual snapshot of the market trend across five different timeframes.
2. Support & Resistance Cycle Engine
Forget simple pivot points. This indicator incorporates a sophisticated engine that identifies and plots significant "Master Cycle" levels on your chart.
Anchored Levels: These S/R lines are persistent and intelligent. When a key resistance level is broken, it automatically "flips" and becomes the new anchored support level, and vice-versa. This accurately maps out the market's structural progression.
The Strategy Builder: Your Personal Trading Lab
This is the heart of the indicator. You have 10 sequential rules that allow you to define the exact conditions for a Buy signal. The Sell signal is generated as the logical, symmetrical opposite.
For each rule, you can configure:
Source A & Source B: Choose from a wide range of data points:
Price values: Close, Open, High, Low.
Previous candle values: Close Before, Open Before, etc.
Moving Average values: MA 1 through MA 5.
MA Trend Colors: MA 1 Color, MA 2 Color Before, etc.
Operator: Define the comparison logic:
Standard: >, <, >=, <=
Events: Crossover, Crossunder
Color Logic: Is Color, Is NOT Color, Turned Color, Ceased to be Color
Important Note on Sell Signals: Sell conditions are designed to be the symmetrical opposite of the buy conditions you create.
If Buy is Close > MA 1, Sell will be Close < MA 1.
If Buy is MA 1 Color Is Green, Sell will be MA 1 Color Is Red.
If Buy is MA 1 Color Turned Green, Sell will be MA 1 Color Turned Red.
This ensures your sell strategy mirrors the logic of your buy strategy, preventing the "inverse problem" of getting sell signals on every candle that isn't a buy signal.
Mastering the Connectors: ( ) AND and ( ) OR
The true power of the Strategy Builder lies in its connectors, which allow you to create complex, multi-layered logic. The connector on a rule defines how it connects to the next active rule.
AND & OR: These work as you'd expect, creating a continuous chain of conditions.
Rule 1 (AND) & Rule 2 is evaluated as (R1 AND R2).
( ) OR (The Group Separator): This is your most powerful tool. It acts like closing a parenthesis in an equation. It finalizes the current group of rules and connects it to the
next group with a big "OR".
Example: (R1 AND R2) OR (R3 AND R4)
This creates two possible paths for a signal.
- Rule 1: Condition R1, Connector AND
- Rule 2: Condition R2, Connector ( ) OR <-- This closes the first group and links to the next with OR.
- Rule 3: Condition R3, Connector AND
- Rule 4: Condition R4
( ) AND (The Super-Filter): This allows you to create a "master" condition that must be true in addition to other complex conditions.
Example: (R1 OR R2) AND (R3 OR R4)
This requires a condition from the first group and a condition from the second group to be true.
- Rule 1: Condition R1, Connector OR
- Rule 2: Condition R2, Connector ( ) AND <-- This closes the first OR group and links to the next with AND.
- Rule 3: Condition R3, Connector OR
- Rule 4: Condition R4
By strategically combining these connectors, you can build any logical trading scenario you can imagine. We look forward to seeing the powerful strategies the community creates with this engine.
NoNoiseMA & SlopeHappy trade,
This is a noise-reduced moving average — let's call it the No-Noise MA. A MA where false breakout price action should have little to no impact, while the main trend remains fully represented. In comparison to previous MAs this one's trend appear more linear, and sideways price actions becomes easier to detect thanks to it's unique two filter stages.
In short, the No-Noise-MA (Noise-Reduced Moving Average) is calculated as the cumulative sum of the slopes derived from the center line of the last x pivot points. Let’s break it down step by step:
Pivot Detection:
A pivot algorithm (an adapted variant of the Bilson-Gann-Count method) identifies consecutive pivot points (high, low, high, low, etc.) in the close price series. Let's call this set of Pivots S.
Center Line Calculation:
Out of the set S the last x pivots are used to compute a center line (linear regression line). Always when a new pivot is confirmed, the oldest pivot in the queue is removed, and the new pivot is added.
Slope Extraction:
The center line is defined by its equation shown in the image below
Image 1
Cumulative Slope Sum:
As shown in the image 1 the slope is a series with values around zero. The No-Noise-MA is then just the cumulative sum of the slope series and a correction term. A correction term is needed otherwise the No-Noise-MA would run away over time from the original close price. The correction term is just the deviation between close price and cumulative slope sum multiply with a factor around 0.01 added to the No-Noise-MA.
Noise Reduction:
The goal of noise reduction is done by two filter stages. First Filter is the reduction of the input values. As shown above not all bars close prices are use, instead it uses just the pivot points delivered by the Bilson-Gann-Count method. Favorable the Bilson-Gann-Count method delivers the Pivot points in most cases much faster as other Pivot methods. Already after two bars a new Pivot is confirmed. This takes out all ups and downs between two consecutive Pivots. This first filter stage is legit because all price action in between is hedged by the Pivots.
The second filter stage is the done by the length of the center line. As more pivots are used to calculate the center line as smoother the slope becomes. Out liners just gets less impact if the base is bigger. So the number of involved Pivots has the same meaning as the lengths in any other MA.
Comparison with usual MAs:
For a comparison with other MAs this script also calculate the average lengths of the center line, shown in the upper right chart. So choose for example SMA and set the length parameter to the average length of the center line. As shown in the following image 2.
Image 2
This way both MAs have the same data base and can be objectively compared.
Trend detection:
The slope of the center line can be used for trend confirmation. A slope bigger then zero is an up trend while a slope smaller then zero is a down trend. And side way price action is indicated when the slope is around zero within a certain threshold.
Image 3
One hint should be mentioned here. The side way section gets indicated much later. About the number of bars as the center line is long. Before that there are just up or down trend predicted. In the image 2 you see the slope is firstly tin and as more bars past by the slope becomes more thick. This should indicate the point where no side way predictions will happens anymore.
Variation of calculation
In the settings menu you can find the setting "Include last close to center line". With this activated the center line is calculated with the last pivots and the last close price. The last close price is assumed as a pivot too. This gives the slope a more early reaction to volatile price action. But also brings back some noise.
Turtle Soup Model [PhenLabs]📊 Turtle Soup Model
Version: PineScript™ v6
Description
The Turtle Soup Model is an innovative technical analysis tool that combines market structure analysis with inter-market comparison and gap detection. Unlike traditional structure indicators, it validates market movements against a comparison symbol (default: ES1!) to identify high-probability trading opportunities. The indicator features a unique “soup pattern” detection system, comprehensive gap analysis, and real-time structure breaks visualization.
Innovation Points:
First indicator to combine structure analysis with gap detection and inter-market validation
Advanced memory management system for efficient long-term analysis
Sophisticated pattern recognition with multi-market confirmation
Real-time structure break detection with comparative validation
🔧 Core Components
Structure Analysis: Advanced pivot detection with inter-market validation
Gap Detection: Sophisticated gap identification and classification system
Inversion Patterns: “Soup pattern” recognition for reversal opportunities
Visual System: Dynamic rendering of structure levels and gaps
Alert Framework: Multi-condition notification system
🚨 Key Features 🚨
The indicator provides comprehensive analysis through:
Structure Levels: Validated support and resistance zones
Gap Patterns: Identification of significant market gaps
Inversion Signals: Detection of potential reversal points
Real-time Comparison: Continuous inter-market analysis
Visual Alerts: Dynamic structure break notifications
📈 Visualization
Structure Lines: Color-coded for highs and lows
Gap Boxes: Visual representation of gap zones
Inversion Patterns: Clear marking of potential reversal points
Comparison Overlay: Inter-market divergence visualization
Alert Indicators: Visual signals for structure breaks
💡Example
📌 Usage Guidelines
The indicator offers multiple customization options:
Structure Settings:
Pivot Period: Adjustable for different market conditions
Comparison Symbol: Customizable reference market
Visual Style: Configurable colors and line widths
Gap Analysis:
Signal Mode: Choice between close and wick-based signals
Box Rendering: Automatic gap zone visualization
Middle Line: Reference point for gap measurements
✅ Best Practices:
🚨Use comparison symbol from related market🚨
Monitor both structure breaks and gap inversions
Combine signals for higher probability trades
Pay attention to inter-market divergences
⚠️ Limitations
Requires comparison symbol data
Performance depends on market correlation
Best suited for liquid markets
What Makes This Unique
Inter-market Validation: Uses comparison symbol for signal confirmation
Gap Integration: Combines structure and gap analysis
Soup Pattern Detection: Identifies specific reversal patterns
Dynamic Structure Management: Automatically updates and removes invalid levels
Memory-Efficient Design: Optimized for long-term chart analysis
🔧 How It Works
The indicator processes market data through three main components:
1. Structure Analysis:
Detects pivot points with comparison validation
Tracks structure levels with array management
Identifies and processes structure breaks
2. Gap Analysis:
Identifies significant market gaps
Processes gap inversions
Manages gap zones visualization
3. Pattern Recognition:
Detects “soup” patterns
Validates with comparison market
Generates structure break signals
💡 Note: The indicator performs best when used with correlated comparison symbols and appropriate timeframe selection. Its unique inter-market validation system provides additional confirmation for traditional structure-based trading strategies.
Ultra TrendlinesThis indicator automatically draws trendlines based on every pivot point, helping traders visualize key support and resistance levels. It dynamically adjusts as new pivots are detected and validates the trendlines against price movement.
Introduction
The Ultra Trendlines indicator is designed to help traders identify and track significant trendlines on their charts. By automatically detecting pivot points (both highs and lows), it draws trendlines that highlight key market movements. These trendlines are valuable for understanding the broader trend and for making informed trading decisions.
Detailed Description
The indicator analyzes price data to find pivot points highs and lows over a user-defined lookback period. Once a pivot is detected, it draws trendlines between the pivot points.
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Accuracy
To ensure accuracy, the indicator only keeps trendlines that are confirmed by price action. It checks if the price crosses the trendline and deletes invalid lines.
Additionally, it checks if the trendlines stay within predefined price thresholds, filtering out irrelevant lines that are too far from current price action.
The indicator also has an option to only show "rising lows" and "falling highs" trendlines, offering further precision in trend direction.
As new pivots are detected, older trendlines that fall outside the lookback period are removed, ensuring the chart remains clean.
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Style
The trendlines can extend forward (infinite and userdefined), backward, both or none. The lines are drawn with a customizable style (solid, dotted, or dashed), color, and width.
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Summary of Key Points
The indicator automatically detects pivot points (highs and lows) and draws trendlines based on them. It allows you to customize the style, color, and width of the trendlines. The indicator filters out invalid trendlines by checking if they are still relevant based on price action and price thresholds. Additionally, you can choose to only display rising lows and falling highs for more accurate trend analysis. It also removes outdated trendlines to keep the chart clean.
Smart Money Setup 07 [TradingFinder] Liquidity Hunts & Minor OB🔵 Introduction
The Smart Money Concept relies on analyzing market structure, tracking liquidity flows, and identifying order blocks. Research indicates that traders who apply these methods can improve their accuracy in predicting market movements by up to 30%.
These elements allow traders to understand the behavior of market makers, including banks and large financial institutions, which have the ability to influence price movements and shape major market trends. By recognizing how these entities operate, traders can align their strategies with Smart Money actions and better anticipate shifts in the market.
Smart Money typically enters the market at points of high liquidity where trading opportunities are more attractive. By following these liquidity flows, professional traders can position themselves at market reversal points, leading to profitable trades.
The Smart Money Setup 07 indicator has been specifically designed to detect these complex patterns. Using advanced algorithms, this indicator automatically identifies both bullish and bearish trading setups, assisting traders in discovering hidden market opportunities.
As a powerful technical analysis tool, the Smart Money Setup indicator helps predict the actions of major market participants and highlights optimal entry and exit points. Essentially, this tool enables traders to act like institutional investors and market makers, making the most of price fluctuations in their favor.
Ultimately, the Smart Money Setup 07 indicator transforms complex technical analysis into a simple and practical tool. By detecting order blocks and liquidity zones, this tool helps traders execute their strategies with greater precision, leading to more informed and successful trading decisions.
🟣 Bullish Setup
🟣 Bearish Setup
🔵 How to Use
One of the key strengths of the Smart Money Setup 07 indicator is its ability to accurately identify order blocks and analyze liquidity flows. Order blocks represent areas where large buy or sell orders are placed by Smart Money investors, which often indicate key reversal points in the market. Traders can use these order blocks to pinpoint potential entry and exit opportunities.
The Smart Money Setup indicator detects and visually displays these order blocks on the chart, helping traders identify the best zones to enter or exit trades. Since these zones are frequently used by large institutional investors, following these blocks allows traders to capitalize on price fluctuations and trade with confidence.
🟣 Bullish Smart Money Setup
A Bullish Smart Money Setup forms when the market creates Higher Lows and Higher Highs. In this situation, the indicator analyzes pivot points, liquidity flows, and order blocks to identify buy opportunities. Liquidity points in these setups indicate areas where Smart Money is likely to enter long positions.
In the bullish setup image, multiple Higher Lows and Higher Highs are formed. The green zone represents a Bullish Order Block, signaling traders to enter a long trade. The Smart Money Setup indicator displays a green arrow, indicating a high-probability upward price movement from this liquidity zone.
🟣 Bearish Smart Money Setup
A Bearish Smart Money Setup occurs when the market structure shows Lower Highs and Lower Lows, indicating weakness in price. The indicator identifies these patterns and highlights potential sell opportunities. Liquidity points in this setup mark areas where Smart Money enters sell positions.
In the bearish setup image, a Lower High is followed by a Lower Low, with the red liquidity zone acting as a Bearish Order Block. The Smart Money Setup indicator shows a red arrow, signaling a likely downward move, offering traders an opportunity to enter short positions.
🔵 Settings
Pivot Period : This setting determines how many candles are needed to form a pivot point. A default value of 2 is optimal for quickly identifying key pivot points in price action.
Order Block Validity Period : This parameter defines the lifespan of an order block. Traders can adjust how long each order block remains valid. For instance, setting it to 500 means that an order block will be valid for 500 bars after its formation.
Mitigation Level OB : This setting allows traders to select whether order blocks should be based on the "Proximal," "50% OB," or "Distal" levels, helping traders manage risk more effectively.
Order Block Refinement : Traders can refine the order blocks with precision. The indicator offers two refinement modes: Defensive and Aggressive. The Defensive mode identifies safer order blocks, while the Aggressive mode targets higher-risk blocks with the potential for larger reversals.
🔵 Conclusion
The Smart Money Setup 07 indicator is a powerful tool for identifying key Smart Money movements in the market. It provides traders with essential insights for making informed trading decisions, particularly when combined with technical analysis and liquidity flow analysis. This indicator allows traders to accurately pinpoint entry and exit points, helping them maximize profits and minimize risk.
By offering a range of customizable settings, the Smart Money Setup indicator adapts to different trading styles and strategies. Furthermore, its ability to detect order blocks and identify supply and demand zones makes it an indispensable tool for any trader looking to enhance their strategy.
In conclusion, the Smart Money Setup 07 is a crucial tool for traders aiming to optimize their trading performance. By utilizing the concepts of Smart Money in technical analysis, traders can make more precise decisions and take advantage of market fluctuations.
Support and ResistanceThis indicator, titled "Support and Resistance," is designed to identify and display key price levels based on volume and pivot points. It's a versatile tool that can be adapted for different market views and timeframes.
Key Features
Market View Options
The indicator offers three market view settings:
Short term
Standard
Long term
These settings affect the lookback periods used in calculations, allowing users to adjust the indicator's sensitivity to market movements.
Volume-Based Levels
The indicator calculates support and resistance levels using a rolling Point of Control (POC) derived from volume data. This approach helps identify price levels where the most trading activity has occurred.
Pivot Points
In addition to volume-based levels, the indicator incorporates pivot points to identify potential support and resistance areas.
Customizable Appearance
Users can adjust:
Number of lines to display (1-8)
Colors for support and resistance levels
Line thickness based on level importance
Calculation Methods
Rolling POC
The indicator uses a custom function f_rolling_poc to calculate the rolling Point of Control. This function analyzes volume distribution across price levels within a specified lookback period.
Pivot Points
Both standard and quick pivot points are calculated using the rolling POC as input, rather than traditional price data.
Level Importance
The indicator assigns importance to each level based on:
Number of touches (how often price has interacted with the level)
Duration (how long the level has been relevant)
This importance score determines the thickness of the displayed lines.
Unique Aspects
Dynamic Line Thickness: Lines become thicker when levels overlap, highlighting potentially stronger support/resistance areas.
Adaptive Coloring: The color of each line changes dynamically based on whether the current price is above or below the level, indicating whether it's acting as support or resistance.
Flexible Time Frames: The market view options allow the indicator to be easily adapted for different trading styles and timeframes.
Potential Uses
This indicator could be valuable for:
Identifying key price levels for entry and exit points
Recognizing potential breakout or breakdown levels
Understanding the strength of support and resistance based on line thickness
Adapting analysis to different market conditions and timeframes
Overall, this "Support and Resistance" indicator offers a sophisticated approach to identifying key price levels, combining volume analysis with pivot points and providing visual cues for level importance and current market position.
This Support and Resistance indicator is provided for informational and educational purposes only. It should not be considered as financial advice or a recommendation to buy or sell any security. The indicator's calculations are based on historical data and may not accurately predict future market movements. Trading decisions should be made after thorough research and consultation with a licensed financial advisor. The creator of this indicator is not responsible for any losses incurred from its use. Past performance does not guarantee future results. Use at your own risk.
Double Top, Double Bottom & Head and Shoulders Patterns [ST]Double Top, Double Bottom & Head and Shoulders Patterns
Description in English:
This indicator identifies double top, double bottom, head and shoulders, and inverse head and shoulders patterns on a 4-hour timeframe. It marks the pivot points with circles and outlines the structures with lines, providing clear visual signals of these important reversal patterns.
The colors are customizable for each pattern type.
Detailed Explanation:
Configuration:
Pivot Length: This input defines the period over which pivot points are calculated. The default value is 10.
Circle Color: This input sets the color of the circles that mark the identified double top and double bottom patterns. The default color is blue.
Line Color: This input sets the color of the lines that circle the identified structures of double top and double bottom patterns. The default color is red.
Head and Shoulders Color: This input sets the color of the circles and lines that mark the head and shoulders patterns. The default color is orange.
Inverse Head and Shoulders Color: This input sets the color of the circles and lines that mark the inverse head and shoulders patterns. The default color is purple.
Pattern Identification:
Pivot High and Low: The script uses the pivothigh and pivotlow functions to identify local maxima and minima, essential for detecting the patterns.
Double Top: Identified when there are two pivot highs within the pivot length, and the second high is equal to the first. This pattern typically indicates a potential reversal from an uptrend to a downtrend.
Double Bottom: Identified when there are two pivot lows within the pivot length, and the second low is equal to the first. This pattern typically indicates a potential reversal from a downtrend to an uptrend.
Head and Shoulders: Identified when there is a higher pivot high (head) between two lower pivot highs (shoulders), indicating a potential reversal from an uptrend to a downtrend.
Inverse Head and Shoulders: Identified when there is a lower pivot low (head) between two higher pivot lows (shoulders), indicating a potential reversal from a downtrend to an uptrend.
Drawing Circles and Lines:
Double Top: Marked with blue circles and red lines.
Double Bottom: Marked with blue circles and red lines.
Head and Shoulders: Marked with orange circles and lines.
Inverse Head and Shoulders: Marked with purple circles and lines.
Indicator Benefits:
Pattern Identification: Helps traders identify key reversal patterns (double top, double bottom, head and shoulders, and inverse head and shoulders) on the 4-hour timeframe.
Visual Cues: Provides clear visual signals for these patterns, aiding in making informed trading decisions.
Customizable Parameters: Allows traders to adjust the pivot length, circle color, line color, head and shoulders color, and inverse head and shoulders color to suit different trading strategies and market conditions.
Justification of Component Combination:
Combining pivot point identification with pattern recognition provides a robust method for detecting significant reversal patterns. The visual cues enhance the trader's ability to quickly spot these patterns on the chart.
How Components Work Together:
The script first identifies pivot points based on the specified pivot length.
It then checks for the presence of double top, double bottom, head and shoulders, and inverse head and shoulders patterns using these pivot points.
When a pattern is identified, it is marked with a circle on the chart, and lines are drawn around the structure to provide a clear visual indication of the pattern's presence.
Título: Padrões de Morro Duplo, Fundo Duplo e Ombro-Cabeça-Ombro
Descrição em Português:
Este indicador identifica padrões de morro duplo, fundo duplo, ombro-cabeça-ombro e ombro-cabeça-ombro invertido no gráfico de 4 horas.
Ele marca os pontos de pivô com círculos e contorna as estruturas com linhas, fornecendo sinais visuais claros desses importantes padrões de reversão. As cores são personalizáveis para cada tipo de padrão.
Explicação Detalhada:
Configuração:
Comprimento do Pivô: Este input define o período sobre o qual os pontos de pivô são calculados. O valor padrão é 10.
Cor do Círculo: Este input define a cor dos círculos que marcam os padrões identificados de morro duplo e fundo duplo. A cor padrão é azul.
Cor da Linha: Este input define a cor das linhas que contornam as estruturas identificadas de morro duplo e fundo duplo. A cor padrão é vermelha.
Cor de Ombro-Cabeça-Ombro: Este input define a cor dos círculos e linhas que marcam os padrões de ombro-cabeça-ombro. A cor padrão é laranja.
Cor de Ombro-Cabeça-Ombro Invertido: Este input define a cor dos círculos e linhas que marcam os padrões de ombro-cabeça-ombro invertido. A cor padrão é lilás.
Identificação de Padrões:
Pivô Alto e Baixo: O script usa as funções pivothigh e pivotlow para identificar máximas e mínimas locais, essenciais para detectar os padrões.
Morro Duplo: Identificado quando há duas máximas de pivô dentro do comprimento do pivô, e a segunda máxima é igual à primeira. Este padrão geralmente indica uma reversão potencial de uma tendência de alta para uma tendência de baixa.
Fundo Duplo: Identificado quando há duas mínimas de pivô dentro do comprimento do pivô, e a segunda mínima é igual à primeira. Este padrão geralmente indica uma reversão potencial de uma tendência de baixa para uma tendência de alta.
Ombro-Cabeça-Ombro: Identificado quando há uma máxima de pivô mais alta (cabeça) entre duas máximas de pivô mais baixas (ombros), indicando uma reversão potencial de uma tendência de alta para uma tendência de baixa.
Ombro-Cabeça-Ombro Invertido: Identificado quando há uma mínima de pivô mais baixa (cabeça) entre duas mínimas de pivô mais altas (ombros), indicando uma reversão potencial de uma tendência de baixa para uma tendência de alta.
Desenho de Círculos e Linhas:
Morro Duplo: Marcado com círculos azuis e linhas vermelhas.
Fundo Duplo: Marcado com círculos azuis e linhas vermelhas.
Ombro-Cabeça-Ombro: Marcado com círculos e linhas laranjas.
Ombro-Cabeça-Ombro Invertido: Marcado com círculos e linhas lilás.
Benefícios do Indicador:
Identificação de Padrões: Ajuda os traders a identificar padrões-chave de reversão (morro duplo, fundo duplo, ombro-cabeça-ombro e ombro-cabeça-ombro invertido) no gráfico de 4 horas.
Sinais Visuais: Fornece sinais visuais claros para esses padrões, auxiliando na tomada de decisões informadas.
Parâmetros Personalizáveis: Permite que os traders ajustem o comprimento do pivô, a cor do círculo, a cor da linha, a cor de ombro-cabeça-ombro e a cor de ombro-cabeça-ombro invertido para se adequar a diferentes estratégias de negociação e condições de mercado.
Justificação da Combinação de Componentes:
Combinar a identificação de pontos de pivô com o reconhecimento de padrões fornece um método robusto para detectar padrões de reversão significativos. Os sinais visuais melhoram a capacidade do trader de identificar rapidamente esses padrões no gráfico.
Como os Componentes Funcionam Juntos:
O script primeiro identifica os pontos de pivô com base no comprimento do pivô especificado.
Em seguida, verifica a presença de padrões de morro duplo, fundo duplo, ombro-cabeça-ombro e ombro-cabeça-ombro invertido usando esses pontos de pivô.
Quando um padrão é identificado, ele é marcado com um círculo no gráfico, e linhas são desenhadas ao redor da estrutura para fornecer uma indicação visual clara da presença do padrão.
MarketRangerThis indicator puts a selection of elements together providing traders with insights into price dynamics, trend changes, and potential trading opportunities within the specified timeframe.
Trading Range Defined by Support and Resistance :
Support and resistance levels are calculated using the lowest low and highest high over specified periods.
These
levels define the boundaries of the trading range within which the price moves.
WMA Color Changing based on Slope :
The script uses three Weighted Moving Averages (WMAs) with different lengths.
The color of the main WMA changes based on its slope.
When the slope of the WMA is positive (indicating an uptrend), it's displayed in blue. When it's
negative (indicating a downtrend), it's displayed in pink.
New High/Low Detection :
The script detects new highs and lows in the price action.
A new high is detected when the current high crosses under the previous resistance level, and a new low is detected when the current low crosses over the previous support level.
These
detections are marked by triangle shapes above or below the bars.
WMA Crosses :
The script calculates the difference between the two WMAs.
When the faster WMA crosses above the slower WMA, indicating a potential bullish signal, a blue cross shape is plotted below the bar.
When the faster WMA crosses below the slower WMA, indicating a potential bearish signal, a
pink cross shape is plotted above the bar.
Slope Changes :
The script calculates the slope of the main WMA and tracks changes in slope.
A positive slope indicates an upward trend, while a negative slope indicates a downward trend.
Slope changes from negative to positive indicate potential bullish momentum, and from
positive to negative indicate potential bearish momentum.
Customizable Pivot Levels :
Pivot levels are calculated based on user-defined percentages of the range between support and resistance.
Pivot Level 1 and Pivot Level 2 provide additional reference points for potential reversals or trend continuation.
Usage :
The indicator provides support and resistance levels, new high/low alerts, and WMA crosses.
The midpoint and customizable pivot levels offer potential trading zones.
Slope change points indicate potential shifts in market sentiment.
Customize the pivot levels according to your trading strategy.
Parameters :
Adjust the WMA lengths and support/resistance lengths to suit your trading style.
Modify the visibility settings to control how many periods of support and resistance are displayed.
Customize the pivot levels to fit your preferred trading strategy.
Alerts :
Alerts are triggered for new high/low points and WMA crosses.
Use alerts to stay informed about potential trading opportunities.
Interpretation :
Watch for new high/low points for potential trend reversals or continuations.
Monitor WMA crosses and slope changes for signals of market direction.
Consider trading near support/resistance levels and pivot points.
Additional Notes :
Experiment with different settings to find the configuration that best suits your trading preferences.
Backtest the indicator on historical data to validate its effectiveness before using it in live trading.
Market Structure AlgoThe "Market Structure Algo" (MS Algo) is a comprehensive tool developed by OmegaTools. This advanced indicator is designed to analyze the market's structure through a combination of pivot highs and lows, creating a nuanced understanding of potential market movements.
Core Functionality:
- Internal and External Market Structure (MS): The MS Algo differentiates between internal and external market structures by analyzing pivot points over different periods. This dual analysis allows for a deeper understanding of short-term and long-term market trends.
- Zone Distance and Visualization: The indicator introduces a novel approach to visualizing potential areas of interest or 'zones' around pivot points, adjustable through the 'Zone Distance' setting. This feature enhances the visual representation of zone created on the chart that can be used as a support and resistance area.
- Dynamic Signal Generation: Utilizing a comprehensive algorithm, the MS Algo identifies potential signals for entering and exiting trades based on the internal market structure. These signals are visually represented on the chart, aiding in decision-making. These signals are based on the acceptance and confirmed breakout or the refusal of the pivot points by the price.
Operational Mechanism:
- The MS Algo calculates pivot highs and lows over specified periods (input by the user) to determine the market's current structure. It then evaluates the market's position relative to these pivot points to assign a market structure score, which can range from bullish to bearish extremes.
- Signals for long and short positions, as well as exits, are generated based on the interaction between the close price and these pivot points.
- Additionally, the indicator plots zones around the moving average, adjusted for the ATR and the specified 'Zone Distance,' providing a visual guide to areas where the market might find support or resistance.
Usage Guidelines:
- To apply the MS Algo to your TradingView charts, adjust the 'Internal MS' and 'External MS' settings to align with your analysis preferences. The 'Zone Distance' input allows for customization of the zone visualization feature.
- The color-coded signals and zone fillings serve as guides to understanding the current market structure and potential areas of interest. These should be interpreted within the context of a broader trading strategy and risk management framework.
Understanding the Indicator's Originality:
The MS Algo stands out due to its unique blend of pivot analysis and zone visualization, providing traders with a detailed view of the market's structure that goes beyond traditional indicators. Its originality lies in the methodological integration of these components to offer a tool that enhances market analysis.
Responsible Use Disclaimer:
The financial markets are unpredictable, and the MS Algo is designed to serve as an analytical tool within a trader's arsenal, not a standalone solution for trading decisions. Traders should use this tool judiciously, alongside comprehensive market analysis and sound risk management practices. It's important to understand that the MS Algo does not guarantee trading success nor does it claim to predict specific price movements. Trading involves risks, including the potential loss of capital.
