WT + Stoch RSI Reversal ComboOverview – WT + Stoch RSI Reversal Combo
This custom TradingView indicator combines WaveTrend (WT) and Stochastic RSI (Stoch RSI) to detect high-probability market reversal zones and generate Buy/Sell signals.
It enhances accuracy by requiring confirmation from both oscillators, helping traders avoid false signals during noisy or weak trends.
🔧 Key Features:
WaveTrend Oscillator with optional Laguerre smoothing.
Stochastic RSI with adjustable smoothing and thresholds.
Buy/Sell combo signals when both indicators agree.
Histogram for WT momentum visualization.
Configurable overbought/oversold levels.
Custom dotted white lines at +100 / -100 levels for reference.
Alerts for buy/sell combo signals.
Toggle visibility for each element (lines, signals, histogram, etc.).
✅ How to Use the Indicator
1. Add to Chart
Paste the full Pine Script code into TradingView's Pine Editor and click "Add to Chart".
2. Understand the Signals
Green Triangle (BUY) – Appears when:
WT1 crosses above WT2 in oversold zone.
Stoch RSI %K crosses above %D in oversold region.
Red Triangle (SELL) – Appears when:
WT1 crosses below WT2 in overbought zone.
Stoch RSI %K crosses below %D in overbought region.
⚠️ A signal only appears when both WT and Stoch RSI agree, increasing reliability.
3. Tune Settings
Open the settings ⚙️ and adjust:
Channel Lengths, smoothing, and thresholds for both indicators.
Enable/disable visibility of:
WT lines
Histogram
Stoch RSI
Horizontal level lines
Combo signals
4. Use with Price Action
Use this indicator in conjunction with support/resistance zones, chart patterns, or trendlines.
Works best on lower timeframes (5m–1h) for scalping or 1h–4h for swing trading.
5. Set Alerts
Set alerts using:
"WT + Stoch RSI Combo BUY Signal"
"WT + Stoch RSI Combo SELL Signal"
This helps you catch setups in real time without watching the chart constantly.
📊 Ideal Use Cases
Reversal trading from extremes
Mean reversion strategies
Timing entries/exits during consolidations
Momentum confirmation for breakouts
Cerca negli script per "wave"
The Kyber Cell's – TTM Wave CThe Kyber Cell’s Wave C – TTM Squeeze Macro Bias & Structural Filter
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1. Introduction
Wave C is the strategic compass in the TTM Squeeze Wave system — the final layer that helps you align with the larger trend or macro context. While Wave A delivers momentum bursts and Wave B confirms active trend direction, Wave C filters trades through a broader lens, helping you avoid taking strong intraday setups that go against the dominant structure.
Wave C is designed to act as your macro bias validator — filtering out trades that contradict higher-timeframe flows or major moving average slopes. When all three waves line up, you’re no longer just reacting to signals — you’re trading with intention and structure. When in doubt, zoom out and that is what Wave C gives you.
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2. Core Concept and Calculation
Wave C is built to measure high-level trend bias, either on the current chart timeframe or derived from a higher timeframe (HTF). Its logic is based on one or more of the following structural tools:
• Long-term EMA slope (e.g., 55, 89, or 200 EMA)
• HTF VWAP positioning (price above or below)
• Long-period HMA slope (e.g., HMA 144 or HMA 233)
• Directional bias from HTF TTM Squeeze or MTF trend engine
Unlike Wave A and B, which may fluctuate during normal price swings, Wave C changes more slowly. That’s the point — it gives a “big picture” backdrop against which all lower-level signals should be evaluated. It reduces false positives and helps you wait for trades in the direction of the broader trend.
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3. Visual Output and Color Logic
Wave C uses a simple and deliberate color scheme to communicate macro alignment:
• Green: Bullish macro structure
• Red: Bearish macro structure
• Gray: Neutral, indecisive, or flat macro trend
This muted but firm logic encourages patient, structured trading. The goal isn’t to trigger trades directly from Wave C, but to filter out trades that contradict market posture.
• When Wave C is Green, you ideally want Wave B to be blue and Wave A to turn cyan before going long.
• When Wave C is Red, you look for Wave B to be red and Wave A to turn bright red before shorting.
• If Wave C is Gray, it may signal choppy, indecisive structure — use caution or reduce trade size.
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4. Ideal Use Case
Wave C functions as your global bias filter:
1. Set your directional bias for the session or week.
2. Only take trades that agree with Wave C direction.
3. When all waves align, trade with size and confidence.
4. When Wave C disagrees, wait or downshift your trade plan.
This makes Wave C especially valuable for swing traders, position traders, or intraday traders who want to anchor their entries within a broader trend.
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5. Configuration and Customization
Wave C is built with advanced users in mind, and its configuration allows multiple structural methods:
• EMA Slope Method: Set EMA length and threshold angle
• HTF Source Method: Request HTF data for squeeze trend, VWAP, or Wave B analog
• HMA Trend Filter: Longer-term smoothing to detect sustained directional flow
• Color Preferences: Customize green/red/gray scheme as needed
This flexibility allows you to tailor Wave C to your strategy — whether you’re anchoring to a Daily EMA while scalping the 5-minute chart, or aligning swing entries with the Weekly VWAP.
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6. Alerts and Add-ons
Although Wave C isn’t typically used for alerts, it can be incorporated into confluence-based alert stacks. For example:
• Alert only when Wave C = Green, Wave B = Blue, and Wave A = Rising
• Alert on macro flip (e.g., Green → Red) as a possible regime change
• Alert when macro bias agrees with MTF Squeeze Panel bias
These setups are more advanced but help automate disciplined trade selection.
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7. Disclaimer
This indicator is for educational and research purposes only. It is not trading advice. Wave C is most effective when used in conjunction with Wave A, Wave B, and other structural context. All trades should be executed with proper risk management and backtested methodology.
Elliott Wave + Fib Levels w/Alerts [Enhanced]Elliott Wave + Fibonacci Levels with Alerts
This powerful TradingView indicator combines Elliott Wave detection with customizable Fibonacci retracement levels to help identify key price zones and potential trade opportunities. It automatically detects bullish and bearish waves based on recent highs and lows, with an optional EMA filter to improve trend accuracy.
Key features include:
Dynamic detection of Elliott Waves based on configurable wave length.
Visualization of Fibonacci retracement levels on detected waves, with customizable percentage levels and optional labels for clarity.
ATR-based automatic calculation of stop loss and take profit levels with adjustable multipliers.
Real-time alerts triggered on new wave formations, indicating bullish or bearish setups with precise entry price details.
Clean plotting of entry signals, stop loss, and take profit zones directly on the chart.
User-friendly input controls to tailor the indicator to your trading style, including options to toggle EMA filtering, Fibonacci level display, and alert activation.
Ideal for traders looking to combine classic wave analysis with Fibonacci support/resistance levels and actionable trade alerts, this indicator streamlines technical analysis and trade management in one easy-to-use tool.
Parsifal.Swing.TrendScoreThe Parsifal.Swing.TrendScore indicator is a module within the Parsifal Swing Suite, which includes a set of swing indicators such as:
• Parsifal Swing TrendScore
• Parsifal Swing Composite
• Parsifal Swing RSI
• Parsifal Swing Flow
Each module serves as an indicator facilitating judgment of the current swing state in the underlying market.
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Background
Market movements typically follow a time-varying trend channel within which prices oscillate. These oscillations—or swings—within the trend are inherently tradable.
They can be approached:
• One-sidedly, aligning with the trend (generally safer), or
• Two-sidedly, aiming to profit from mean reversions as well.
Note: Mean reversions in strong trends often manifest as sideways consolidations, making one-sided trades more stable.
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The Parsifal Swing Suite
The modules aim to provide additional insights into the swing state within a trend and offer various trigger points to assist with entry decisions.
All modules in the suite act as weak oscillators, meaning they fluctuate within a range but are not bounded like true oscillators (e.g., RSI, which is constrained between 0% and 100%).
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The Parsifal.Swing.TrendScore – Specifics
The Parsifal.Swing.TrendScore module combines short-term trend data with information about the current swing state, derived from raw price data and classical technical indicators. It provides an indication of how well the short-term trend aligns with the prevailing swing, based on recent market behavior.
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How Swing.TrendScore Works
The Swing.TrendScore calculates a swing score by collecting data within a bin (i.e., a single candle or time bucket) that signals an upside or downside swing. These signals are then aggregated together with insights from classical swing indicators.
Additionally, it calculates a short-term trend score using core technical signals, including:
• The Z-score of the price's distance from various EMAs
• The slope of EMAs
• Other trend-strength signals from additional technical indicators
These two components—the swing score and the trend score—are then combined to form the Swing.TrendScore indicator, which evaluates the short-term trend in context with swing behavior.
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How to Interpret Swing.TrendScore
The trend component enhances Swing.TrendScore’s ability to provide stronger signals when the short-term trend and swing state align.
It can also override the swing score; for example, even if a mean reversion appears to be forming, a dominant short-term trend may still control the market behavior.
This makes Swing.TrendScore particularly valuable for:
• Short-term trend-following strategies
• Medium-term swing trading
Unlike typical swing indicators, Swing.TrendScore is designed to respond more to medium-term swings rather than short-lived fluctuations.
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Behavior and Chart Representation
The Swing.TrendScore indicator fluctuates within a range, as most of its components are range-bound (though Z-score components may technically extend beyond).
• Historically high or low values may suggest overbought or oversold conditions
• The chart displays:
o A fast curve (orange)
o A slow curve (white)
o A shaded background representing the market state
• Extreme values followed by curve reversals may signal a developing mean reversion
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TrendScore Background Value
The Background Value reflects the combined state of the short-term trend and swing:
• > 0 (shaded green) → Bullish mode: swing and short-term trend both upward
• < 0 (shaded red) → Bearish mode: swing and short-term trend both downward
• The absolute value represents the confidence level in the market mode
Notably, the Background Value can remain positive during short downswings if the short-term trend remains bullish—and vice versa.
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How to Use the Parsifal.Swing.TrendScore
Several change points can act as entry triggers or aids:
• Fast Trigger: change in slope of the fast signal curve
• Trigger: fast line crosses slow line or the slope of the slow signal changes
• Slow Trigger: change in sign of the Background Value
Examples of these trigger points are illustrated in the accompanying chart.
Additionally, market highs and lows aligning with the swing indicator values may serve as pivot points in the evolving price process.
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As always, this indicator should be used in conjunction with other tools and market context in live trading.
While it provides valuable insight and potential entry points, it does not predict future price action.
Instead, it reflects recent tendencies and should be used judiciously.
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Extensions
The aggregation of information—whether derived from bins or technical indicators—is currently performed via simple averaging. However, this can be modified using alternative weighting schemes, based on:
• Historical performance
• Relevance of the data
• Specific market conditions
Smoothing periods used in calculations are also modifiable. In general, the EMAs applied for smoothing can be extended to reflect expectations based on relevance-weighted probability measures.
Since EMAs inherently give more weight to recent data, this allows for adaptive smoothing.
Additionally, EMAs may be further extended to incorporate negative weights, akin to wavelet transform techniques.
Kondratieff Wave & Benner Business CyclesKondratieff Wave Theory
Description: The Kondratieff Wave, also known as K-Waves or Long Waves, is an economic theory that posits long-term cycles of approximately 40-60 years in capitalist economies. These cycles consist of four phases: Spring (expansion and recovery), Summer (prosperity and peak), Autumn (stagnation and recession), and Winter (depression and restructuring). The theory suggests that technological innovations and major economic shifts drive these waves, influencing periods of growth and decline over decades.
Creator Bio: Nikolai Dmitriyevich Kondratieff (1892–1938) was a Russian economist born in the Kostroma Governorate. He studied at the University of St. Petersburg and became a prominent figure in Soviet economics. Kondratieff developed his long-wave theory in the 1920s while analyzing historical economic data, publishing works like The Major Economic Cycles (1925). His ideas clashed with Soviet ideology, leading to his arrest in 1930 during Stalin’s purges. He was executed in 1938, but his work gained recognition posthumously, influencing modern economic cycle analysis.
Benner Cycle Theory
Description: The Benner Cycle, proposed by Samuel Benner, is a predictive model for business and commodity price cycles, focusing on shorter-term economic fluctuations. Benner identified recurring patterns in market peaks (highs), panics (crashes), and buying opportunities (lows), with cycles averaging 8-10 years for highs, 7-8 years for panics, and 8-9 years for buys. His theory, based on historical observations of U.S. markets, aimed to guide farmers and investors by forecasting periods of prosperity and distress.
Creator Bio: Samuel T. Benner (1830s–unknown) was an American farmer and businessman from Ohio, not a formally trained economist. After losing his fortune in the Panic of 1873, Benner turned to studying economic patterns. In 1875, he self-published Benner’s Prophecies of Future Ups and Downs in Prices, a book that charted cycles in pig iron prices and other commodities. His work gained a cult following among traders and remains studied for its empirical approach, despite Benner’s lack of academic credentials and limited biographical records.
Smart Liquidity Wave [The_lurker]"Smart Liquidity Wave" هو مؤشر تحليلي متطور يهدف لتحديد نقاط الدخول والخروج المثلى بناءً على تحليل السيولة، قوة الاتجاه، وإشارات السوق المفلترة. يتميز المؤشر بقدرته على تصنيف الأدوات المالية إلى أربع فئات سيولة (ضعيفة، متوسطة، عالية، عالية جدًا)، مع تطبيق شروط مخصصة لكل فئة تعتمد على تحليل الموجات السعرية، الفلاتر المتعددة، ومؤشر ADX.
فكرة المؤشر
الفكرة الأساسية هي الجمع بين قياس السيولة اليومية الثابتة وتحليل ديناميكي للسعر باستخدام فلاتر متقدمة لتوليد إشارات دقيقة. المؤشر يركز على تصفية الضوضاء في السوق من خلال طبقات متعددة من التحليل، مما يجعله أداة ذكية تتكيف مع الأدوات المالية المختلفة بناءً على مستوى سيولتها.
طريقة عمل المؤشر
1- قياس السيولة:
يتم حساب السيولة باستخدام متوسط حجم التداول على مدى 14 يومًا مضروبًا في سعر الإغلاق، ويتم ذلك دائمًا على الإطار الزمني اليومي لضمان ثبات القيمة بغض النظر عن الإطار الزمني المستخدم في الرسم البياني.
يتم تصنيف السيولة إلى:
ضعيفة: أقل من 5 ملايين (قابل للتعديل).
متوسطة: من 5 إلى 20 مليون.
عالية: من 20 إلى 50 مليون.
عالية جدًا: أكثر من 50 مليون.
هذا الثبات في القياس يضمن أن تصنيف السيولة لا يتغير مع تغير الإطار الزمني، مما يوفر أساسًا موثوقًا للإشارات.
2- تحليل الموجات السعرية:
يعتمد المؤشر على تحليل الموجات باستخدام متوسطات متحركة متعددة الأنواع (مثل SMA، EMA، WMA، HMA، وغيرها) يمكن للمستخدم اختيارها وتخصيص فتراتها ، يتم دمج هذا التحليل مع مؤشرات إضافية مثل RSI (مؤشر القوة النسبية) وMFI (مؤشر تدفق الأموال) بوزن محدد (40% للموجات، 30% لكل من RSI وMFI) للحصول على تقييم شامل للاتجاه.
3- الفلاتر وطريقة عملها:
المؤشر يستخدم نظام فلاتر متعدد الطبقات لتصفية الإشارات وتقليل الضوضاء، وهي من أبرز الجوانب المخفية التي تعزز دقته:
الفلتر الرئيسي (Main Filter):
يعمل على تنعيم التغيرات السعرية السريعة باستخدام معادلة رياضية تعتمد على تحليل الإشارات (Signal Processing).
يتم تطبيقه على السعر لاستخراج الاتجاهات الأساسية بعيدًا عن التقلبات العشوائية، مع فترة زمنية قابلة للتعديل (افتراضي: 30).
يستخدم تقنية مشابهة للفلاتر عالية التردد (High-Pass Filter) للتركيز على الحركات الكبيرة.
الفلتر الفرعي (Sub Filter):
يعمل كطبقة ثانية للتصفية، مع فترة أقصر (افتراضي: 12)، لضبط الإشارات بدقة أكبر.
يستخدم معادلات تعتمد على الترددات المنخفضة للتأكد من أن الإشارات الناتجة تعكس تغيرات حقيقية وليست مجرد ضوضاء.
إشارة الزناد (Signal Trigger):
يتم تطبيق متوسط متحرك على نتائج الفلتر الرئيسي لتوليد خط إشارة (Signal Line) يُقارن مع عتبات محددة للدخول والخروج.
يمكن تعديل فترة الزناد (افتراضي: 3 للدخول، 5 للخروج) لتسريع أو تبطيء الإشارات.
الفلتر المربع (Square Filter):
خاصية مخفية تُفعّل افتراضيًا تعزز دقة الفلاتر عن طريق تضييق نطاق التذبذبات المسموح بها، مما يقلل من الإشارات العشوائية في الأسواق المتقلبة.
4- تصفية الإشارات باستخدام ADX:
يتم استخدام مؤشر ADX كفلتر نهائي للتأكد من قوة الاتجاه قبل إصدار الإشارة:
ضعيفة ومتوسطة: دخول عندما يكون ADX فوق 40، خروج فوق 50.
عالية: دخول فوق 40، خروج فوق 55.
عالية جدًا: دخول فوق 35، خروج فوق 38.
هذه العتبات قابلة للتعديل، مما يسمح بتكييف المؤشر مع استراتيجيات مختلفة.
5- توليد الإشارات:
الدخول: يتم إصدار إشارة شراء عندما تنخفض خطوط الإشارة إلى ما دون عتبة محددة (مثل -9) مع تحقق شروط الفلاتر، السيولة، وADX.
الخروج: يتم إصدار إشارة بيع عندما ترتفع الخطوط فوق عتبة (مثل 109 أو 106 حسب الفئة) مع تحقق الشروط الأخرى.
تُعرض الإشارات بألوان مميزة (أزرق للدخول، برتقالي للضعيفة والمتوسطة، أحمر للعالية والعالية جدًا) وبثلاثة أحجام (صغير، متوسط، كبير).
6- عرض النتائج:
يظهر مستوى السيولة الحالي في جدول في أعلى يمين الرسم البياني، مما يتيح للمستخدم معرفة فئة الأصل بسهولة.
7- دعم التنبيهات:
تنبيهات فورية لكل فئة سيولة، مما يسهل التداول الآلي أو اليدوي.
%%%%% الجوانب المخفية في الكود %%%%%
معادلات الفلاتر المتقدمة: يستخدم المؤشر معادلات رياضية معقدة مستوحاة من معالجة الإشارات لتنعيم البيانات واستخراج الاتجاهات، مما يجعله أكثر دقة من المؤشرات التقليدية.
التكيف التلقائي: النظام يضبط نفسه داخليًا بناءً على التغيرات في السعر والحجم، مع عوامل تصحيح مخفية (مثل معامل التنعيم في الفلاتر) للحفاظ على الاستقرار.
التوزيع الموزون: الدمج بين الموجات، RSI، وMFI يتم بأوزان محددة (40%، 30%، 30%) لضمان توازن التحليل، وهي تفاصيل غير ظاهرة مباشرة للمستخدم لكنها تؤثر على النتائج.
الفلتر المربع: خيار مخفي يتم تفعيله افتراضيًا لتضييق نطاق الإشارات، مما يقلل من التشتت في الأسواق ذات التقلبات العالية.
مميزات المؤشر
1- فلاتر متعددة الطبقات: تضمن تصفية الضوضاء وإنتاج إشارات موثوقة فقط.
2- ثبات السيولة: قياس السيولة اليومي يجعل التصنيف متسقًا عبر الإطارات الزمنية.
3- تخصيص شامل: يمكن تعديل حدود السيولة، عتبات ADX، فترات الفلاتر، وأنواع المتوسطات المتحركة.
4- إشارات مرئية واضحة: تصميم بصري يسهل التفسير مع تنبيهات فورية.
5- تقليل الإشارات الخاطئة: الجمع بين الفلاتر وADX يعزز الدقة ويقلل من التشتت.
إخلاء المسؤولية
لا يُقصد بالمعلومات والمنشورات أن تكون، أو تشكل، أي نصيحة مالية أو استثمارية أو تجارية أو أنواع أخرى من النصائح أو التوصيات المقدمة أو المعتمدة من TradingView.
#### **What is the Smart Liquidity Wave Indicator?**
"Smart Liquidity Wave" is an advanced analytical indicator designed to identify optimal entry and exit points based on liquidity analysis, trend strength, and filtered market signals. It stands out with its ability to categorize financial instruments into four liquidity levels (Weak, Medium, High, Very High), applying customized conditions for each category based on price wave analysis, multi-layered filters, and the ADX (Average Directional Index).
#### **Concept of the Indicator**
The core idea is to combine a stable daily liquidity measurement with dynamic price analysis using sophisticated filters to generate precise signals. The indicator focuses on eliminating market noise through multiple analytical layers, making it an intelligent tool that adapts to various financial instruments based on their liquidity levels.
#### **How the Indicator Works**
1. **Liquidity Measurement:**
- Liquidity is calculated using the 14-day average trading volume multiplied by the closing price, always based on the daily timeframe to ensure value consistency regardless of the chart’s timeframe.
- Liquidity is classified as:
- **Weak:** Less than 5 million (adjustable).
- **Medium:** 5 to 20 million.
- **High:** 20 to 50 million.
- **Very High:** Over 50 million.
- This consistency in measurement ensures that liquidity classification remains unchanged across different timeframes, providing a reliable foundation for signals.
2. **Price Wave Analysis:**
- The indicator relies on wave analysis using various types of moving averages (e.g., SMA, EMA, WMA, HMA, etc.), which users can select and customize in terms of periods.
- This analysis is integrated with additional indicators like RSI (Relative Strength Index) and MFI (Money Flow Index), weighted specifically (40% waves, 30% RSI, 30% MFI) to provide a comprehensive trend assessment.
3. **Filters and Their Functionality:**
- The indicator employs a multi-layered filtering system to refine signals and reduce noise, a key hidden feature that enhances its accuracy:
- **Main Filter:**
- Smooths rapid price fluctuations using a mathematical equation rooted in signal processing techniques.
- Applied to price data to extract core trends away from random volatility, with an adjustable period (default: 30).
- Utilizes a technique similar to high-pass filters to focus on significant movements.
- **Sub Filter:**
- Acts as a secondary filtering layer with a shorter period (default: 12) for finer signal tuning.
- Employs low-frequency-based equations to ensure resulting signals reflect genuine changes rather than mere noise.
- **Signal Trigger:**
- Applies a moving average to the main filter’s output to generate a signal line, compared against predefined entry and exit thresholds.
- Trigger period is adjustable (default: 3 for entry, 5 for exit) to speed up or slow down signals.
- **Square Filter:**
- A hidden feature activated by default, enhancing filter precision by narrowing the range of permissible oscillations, reducing random signals in volatile markets.
4. **Signal Filtering with ADX:**
- ADX is used as a final filter to confirm trend strength before issuing signals:
- **Weak and Medium:** Entry when ADX exceeds 40, exit above 50.
- **High:** Entry above 40, exit above 55.
- **Very High:** Entry above 35, exit above 38.
- These thresholds are adjustable, allowing the indicator to adapt to different trading strategies.
5. **Signal Generation:**
- **Entry:** A buy signal is triggered when signal lines drop below a specific threshold (e.g., -9) and conditions for filters, liquidity, and ADX are met.
- **Exit:** A sell signal is issued when signal lines rise above a threshold (e.g., 109 or 106, depending on the category) with all conditions satisfied.
- Signals are displayed in distinct colors (blue for entry, orange for Weak/Medium, red for High/Very High) and three sizes (small, medium, large).
6. **Result Display:**
- The current liquidity level is shown in a table at the top-right of the chart, enabling users to easily identify the asset’s category.
7. **Alert Support:**
- Instant alerts are provided for each liquidity category, facilitating both automated and manual trading.
#### **Hidden Aspects in the Code**
- **Advanced Filter Equations:** The indicator uses complex mathematical formulas inspired by signal processing to smooth data and extract trends, making it more precise than traditional indicators.
- **Automatic Adaptation:** The system internally adjusts based on price and volume changes, with hidden correction factors (e.g., smoothing coefficients in filters) to maintain stability.
- **Weighted Distribution:** The integration of waves, RSI, and MFI uses fixed weights (40%, 30%, 30%) for balanced analysis, a detail not directly visible but impactful on results.
- **Square Filter:** A hidden option, enabled by default, narrows signal range to minimize dispersion in high-volatility markets.
#### **Indicator Features**
1. **Multi-Layered Filters:** Ensures noise reduction and delivers only reliable signals.
2. **Liquidity Stability:** Daily liquidity measurement keeps classification consistent across timeframes.
3. **Comprehensive Customization:** Allows adjustments to liquidity thresholds, ADX levels, filter periods, and moving average types.
4. **Clear Visual Signals:** User-friendly design with easy-to-read visuals and instant alerts.
5. **Reduced False Signals:** Combining filters and ADX enhances accuracy and minimizes clutter.
#### **Disclaimer**
The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
Adaptive Elliott Wave Probability with Time Analysis
Purpose
The indicator helps traders identify and analyze Elliott Wave Probabiliy, dynamically adjusting its sensitivity based on market conditions. By using time intervals between directional changes and validating wave patterns, it provides insights into market trends and their likelihood of continuation.
Configuration
The script includes configurable inputs for the user to adjust:
The sensitivity of wave detection using a zigzag percentage range.
The length of pivots to define significant price movements.
Incremental adjustments to refine wave detection dynamically.
Core Variables
The script uses various variables to store and analyze market data:
Adaptive zigzag percentages start from a baseline and adjust dynamically to reflect changing market conditions.
Time intervals and bar indices are recorded to calculate the duration between directional changes.
Likelihood values are assigned to uptrends and downtrends, normalized for comparison.
Wave Detection
The script detects directional changes in price by identifying pivot highs and lows:
A pivot high is a local peak in the price chart, while a pivot low is a local trough.
Once a directional change is identified, the time interval since the last change is calculated and stored for further analysis.
Wave Validation
The script validates wave patterns using predefined rules. For example:
A valid wave may require that each subsequent time interval in a sequence is greater than the previous one.
This ensures that detected waves adhere to a logical progression, reflecting realistic market movements.
Adaptive Logic
The zigzag percentage adjusts dynamically based on the time intervals between directional changes. This allows the indicator to adapt to different market conditions, ensuring it remains effective during both high and low volatility periods.
Likelihood Calculation
This is calculated by identifying all of the current valid/verified waves in every every zigzag percentage and express the ratio as a percentage/probability
These likelihoods are normalized to ensure they sum to 100%, allowing for direct comparison.
The values are visually plotted on the indicator panel for clarity.
Visualization
The indicator plots:
Uptrend likelihood as a green line.
Downtrend likelihood as a red line.
These plots provide a visual representation of market trends and their potential continuation, helping traders make informed decisions.
Summary
This Adaptive Elliott Wave Indicator provides a robust tool for analyzing market trends and patterns. By dynamically adjusting its parameters and validating wave patterns, it adapts to changing market conditions and provides actionable insights into the likelihood of future price movements. Its visual outputs make it an accessible and effective tool for traders seeking to incorporate Elliott Wave theory into their strategies
All Chart Patterns [theEccentricTrader]█ OVERVIEW
This indicator automatically draws and sends alerts for all of the chart patterns in my public library as they occur. The patterns included are as follows:
• Ascending Broadening
• Broadening
• Descending Broadening
• Double Bottom
• Double Top
• Triple Bottom
• Triple Top
• Bearish Elliot Wave
• Bullish Elliot Wave
• Bearish Alternate Flag
• Bullish Alternate Flag
• Bearish Flag
• Bullish Flag
• Bearish Ascending Head and Shoulders
• Bullish Ascending Head and Shoulders
• Bearish Descending Head and Shoulders
• Bullish Descending Head and Shoulders
• Bearish Head and Shoulders
• Bullish Head and Shoulders
• Bearish Pennant
• Bullish Pennant
• Ascending Wedge
• Descending Wedge
• Wedge
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a close price equal to or above the price it opened.
• A red candle is one that closes with a close price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
Retracement and Extension Ratios
Retracement and extension ratios are calculated by dividing the current range by the preceding range and multiplying the answer by 100. Retracement ratios are those that are equal to or below 100% of the preceding range and extension ratios are those that are above 100% of the preceding range.
Measurement Tolerances
Tolerance refers to the allowable variation or deviation from a specific value or dimension. It is the range within which a particular measurement is considered to be acceptable or accurate. I have applied this concept in my pattern detection logic and have set default tolerances where applicable, as perfect patterns are, needless to say, very rare.
Chart Patterns
Generally speaking price charts are nothing more than a series of swing highs and swing lows. When demand outweighs supply over a period of time prices swing higher and when supply outweighs demand over a period of time prices swing lower. These swing highs and swing lows can form patterns that offer insight into the prevailing supply and demand dynamics at play at the relevant moment in time.
‘Let us assume… that you the reader, are not a member of that mysterious inner circle known to the boardrooms as “the insiders”… But it is fairly certain that there are not nearly so many “insiders” as amateur trader supposes and… It is even more certain that insiders can be wrong… Any success they have, however, can be accomplished only by buying and selling… hey can do neither without altering the delicate poise of supply and demand that governs prices. Whatever they do is sooner or later reflected on the charts where you… can detect it. Or detect, at least, the way in which the supply-demand equation is being affected… So, you do not need to be an insider to ride with them frequently… prices move in trends. Some of those trends are straight, some are curved; some are brief and some are long and continued… produced in a series of action and reaction waves of great uniformity. Sooner or later, these trends change direction; they may reverse (as from up to down), or they may be interrupted by some sort of sideways movement and then, after a time, proceed again in their former direction… when a price trend is in the process of reversal… a characteristic area or pattern takes shape on the chart, which becomes recognisable as a reversal formation… Needless to say, the first and most important task of the technical chart analyst is to learn to know the important reversal formations and to judge what they may signify in terms of trading opportunities’ (Edwards & Magee, 1948).
This is as true today as it was when Edwards and Magee were writing in the first half of the last Century, study your patterns and make judgements for yourself about what their implications truly are on the markets and timeframes you are interested in trading.
Over the years, traders have come to discover a multitude of chart and candlestick patterns that are supposed to pertain information on future price movements. However, it is never so clear cut in practice and patterns that where once considered to be reversal patterns are now considered to be continuation patterns and vice versa. Bullish patterns can have bearish implications and bearish patterns can have bullish implications. As such, I would highly encourage you to do your own backtesting.
There is no denying that chart patterns exist, but their implications will vary from market to market and timeframe to timeframe. So it is down to you as an individual to study them and make decisions about how they may be used in a strategic sense.
█ INPUTS
• Change pattern and label colours
• Show or hide patterns individually
• Adjust pattern ratios and tolerances
• Set or remove alerts for individual patterns
█ NOTES
I have decided to rename some of my previously published patterns based on the way in which the pattern completes. If the pattern completes on a swing high then the pattern is considered bearish, if the pattern completes on a swing low then it is considered bullish. This may seem confusing but it makes sense when you come to backtesting the patterns and want to use the most recent peak or trough prices as stop losses. Patterns that can complete on both a swing high and swing low are for such reasons treated as neutral, namely all broadening and wedge variations. I trust that it is quite self-evident that double and triple bottom patterns are considered bullish while double and triple top patterns are considered bearish, so I did not feel the need to rename those.
The patterns that have been renamed and what they have been renamed to, are as follows:
• Ascending Elliot Waves to Bearish Elliot Waves
• Descending Elliot Waves to Bullish Elliot Waves
• Ascending Head and Shoulders to Bearish Ascending Head and Shoulders
• Descending Head and Shoulders to Bearish Descending Head and Shoulders
• Head and Shoulders to Bearish Head and Shoulders
• Ascending Inverse Head and Shoulders to Bullish Ascending Head and Shoulders
• Descending Inverse Head and Shoulders to Bullish Descending Head and Shoulders
• Inverse Head and Shoulders to Bullish Head and Shoulders
You can test the patterns with your own strategies manually by applying the indicator to your chart while in bar replay mode and playing through the history. You could also automate this process with PineScript by using the conditions from my swing and pattern libraries as entry conditions in the strategy tester or your own custom made strategy screener.
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
█ SOURCES
Edwards, R., & Magee, J. (1948) Technical Analysis of Stock Trends (10th edn). Reprint, Boca Raton, Florida: Taylor and Francis Group, CRC Press: 2013.
Price-Mapped Multi-Cycle Sine WavesThe primary function is to overlay a series of sine wave patterns onto a chart, providing a nuanced and visually intuitive representation of market dynamics.
Key features of this script include:
User-Defined Parameters: It allows users to input various parameters such as start bar (of the sine wave, so that we can start at a dynamic point), start date of the cycle plots, price range, and cycle lengths. These parameters enable customization of the sine wave patterns according to the user's specific analytical needs.
Multiple Sine Wave Cycles: It can generate up to ten different sine wave cycles, each with its own length and activation toggle.
Dynamic Visualization: The script plots these sine waves on the TradingView chart, each with a distinct color and the ability to offset the waves based on user input. This visual differentiation aids in easy identification and comparison of the different cycles.
Average Wave Calculation: Additionally, the script calculates an average wave based on the enabled cycles, providing a consolidated view of the market movement trends.
In essence, this script is a versatile tool for technical analysts and traders, offering a unique way to visualize and analyze market cycles and trends through the lens of sine wave theory. It stands as a testament to the confluence of mathematical elegance and practical financial analysis.
TrendGuard Pullback Trader Indicators [Quantigenics]The 'TrendGuard Pullback Trader Indicators' offers a synergistic representation of Trend Wave, Trend Pulse, and Trend Strength, each interrelated to provide intuitive and comprehensive market analysis—combining momentum, trend fluctuation insights, and trend strength in one cohesive tool.
The "TrendGuard Pullback Trader Indicators " utilize a novel approach in market trend analysis, distinctly combining multiple Exponential Moving Averages (EMA) layers for enhanced momentum tracking. This script employs a triple-layered EMA system for the Trend Wave component, adeptly filtering market noise and providing a refined view of underlying momentum. In parallel, the Trend Pulse feature contrasts current prices against a double-EMA of modified averages, offering granular insights into short-term market dynamics. This synergy is further enriched by the Trend Strength Identifier, which leverages the differential between fast and slow EMAs. This element is key in distinguishing significant market trends from minor fluctuations, thus offering a comprehensive gauge of market sentiment. These components, while advanced in their individual functionalities, are integrated to provide a holistic market analysis tool, far surpassing the capabilities of standard trend-following indicators. This sophisticated integration, underpinned by complex mathematical modeling, ensures that the "TrendGuard Pullback Indicators" script is not just a collection of indicators but a refined, cohesive system for strategic trading.
Integrated Analysis System: Trend Wave, Trend Pulse, and Trend Strength Identifier:
Trend Wave : Advanced Momentum Analysis
Calculation : Implements an advanced smoothing technique using a triple-layered Exponential Moving Average (EMA). This complex approach reduces market noise by refining the momentum tracking algorithm, thereby enhancing trend line smoothness.
Output : The output is visualized as a color-changing histogram, pivoting from green to red to indicate bullish and bearish momentum. This histogram is based on a scaled and adjusted Trend Wave value, providing a nuanced understanding of market momentum shifts.
Trend Pulse : Precision in Short-term Market Dynamics
Design : Contrasts a unique combination of high and low prices with their double EMA, diverging from standard closing price analysis. This results in a dynamic indicator sensitive to immediate market shifts.
Function : Acts as a vital complement to Trend Wave, offering fine-grained insights into short-term market behavior. It enhances the overall system by adding depth to the trend context set by the Trend Wave
Trend Strength Identifier: In-Depth Trend Viability Assessment Mechanism
Mechanism : Utilizes a sophisticated differential EMA strategy, comparing fast and slow EMA outputs. The script’s complexity extends beyond basic EMA differences, incorporating advanced trend/noise ratio calculations and trend quality assessments.
Indicator Dynamics : Generates a histogram that colors and positions itself based on the strength and direction of market trends, further informed by calculated trend quality metrics. It crucially differentiates between major trends and minor market noise.
System Synergy :
The three components are designed to operate in unison, forming an integrated trading system. Their interrelation is not merely additive but synergistic, where each element informs and enhances the others, making them indispensable to one another.
This interconnected functionality blends the indicators, as each component is tailored to contribute to a unified decision-making process, rather than functioning as standalone entities. The system's unique construction and its reliance on the interplay between its components underscore its distinctiveness and necessity for combined usage.
How to Trade with the "TrendGuard Pullback Trader Indicators"
Integration with "TrendGuard Pullback Signals" script :
The "TrendGuard Pullback Trader Indicators" script is an integral part of the "TrendGuard Pullback Trader" system, designed to operate in tandem with the "TrendGuard Pullback Trader Signals" script. This script amalgamates three sophisticated indicators, each contributing a unique perspective to market analysis.
This script, while useful as a standalone trading method, is one part of a two-part system. The “TrendGuard Pullback Trader Signals” script can be found below:
Integrated Trend Analysis: Aligning Wave, Pulse, and Strength :
Trend Wave & Trend Pulse Alignment : Look for moments when both the Trend Wave and Trend Pulse indicate a similar direction (both turning green for bullish or red for bearish). This alignment often marks the beginning of a new primary trend.
Confirmation with Trend Strength : Ensure that the Trend Strength histogram supports the new trend. A rising histogram above the lower threshold (white line) indicates growing trend strength.
Assessing Trend Strength and Potential Exhaustion :
Monitoring Threshold Lines : The upper (blue) and lower (white) threshold lines are crucial. When the Trend Strength histogram crosses these lines, it signals significant market conditions:
Above the Upper Threshold (Blue Line): Indicates a very strong trend but be cautious of potential trend exhaustion. A peak above this line may signal that the trend is overstretched.
Below the Lower Threshold (White Line): Suggests a weak or emerging trend, potentially signaling a trend reversal or consolidation phase.
Determining Trending or Ranging Market :
Above Lower Threshold : If the Trend Strength histogram consistently stays above the lower threshold, it suggests a trending market. Use this phase for trend-following strategies.
Below Lower Threshold : When the histogram frequently falls below this line, it may indicate a ranging or choppy market. In such conditions, consider adopting range-bound strategies or tightening stop losses.
Practical Application :
Entry Points : Trades can be initiated when there’s an alignment in Trend Wave and Pulse, coupled with supportive readings in Trend Strength. For instance, long positions during a green Trend Wave and Pulse, with the Trend Strength histogram rising above the lower threshold and vice versa for short entries.
Exit Points and Profit Taking : Consider exiting or taking profits when the Trend Strength crosses above the upper threshold, indicating potential trend exhaustion, especially if the trend strength histogram suddenly drops. Also, look for changes in the Trend Wave and Pulse for additional exit signals.
Alerts Setup : Utilize the provided alert features for key changes in the indicators, especially when the Trend Strength crosses threshold lines, to stay updated on significant market shifts.
Interpreting Indicator Interactions :
Refer to the accompanying images for visual examples of how these indicators interact and signal various market conditions. Understanding their synergy will enhance your ability to recognize key market phases and adjust your trading strategy accordingly.
The "TrendGuard Pullback Trader Indicators" script is intricately designed to be used in conjunction with the "TrendGuard Pullback Trader Signals" script, offering a cohesive and comprehensive trading strategy. Use both scripts together for a more robust trading method.
Adjustable Input Parameters
Each component in the script features customizable settings, designed to offer traders comprehensive control over the indicators. This flexibility allows for tailoring to specific trading styles, market conditions, and time frames. With options for adjusting visibility, selecting price types, modifying calculation lengths, and setting thresholds, these parameters ensure that the tool can be fine-tuned for a high degree of customization and precision, making it adaptable and effective for nearly all markets/symbols and time frames.
Important Usage Guidance: For seamless integration with its counterpart, the "TrendGuard Pullback Trader Signals" script, it's crucial to align the input parameter settings across both scripts. When adjusting values from their defaults, ensure that corresponding parameters in both scripts are identically set. This synchronization is key to achieving a cohesive and accurate representation on your charts.
Show Indicator Name (ShowName):
This parameter controls the display of the indicator's name on the chart. When enabled (`true`), it visually labels the indicator for ease of identification. Disabling (`false`) this feature offers a cleaner visual by removing the label.
Show Trend Wave Indicator (ShowTrendWave):
Activates or deactivates the Trend Wave indicator. When active (`true`), it displays a histogram based on the triple-layered exponential moving average (EMA) of the selected price type, providing a visual representation of market momentum trends. Deactivating (`false`) simplifies the chart by removing this histogram.
Trend Wave Price (TrendWavePrice):
Specifies the price data (close, open, high, low) used in calculating the Trend Wave. This choice affects how the Trend Wave responds to market movements, with each price type offering a different perspective on market momentum.
Trend Wave Length (TrendWaveLength):
Determines the overall calculation period for the triple-layered EMA in the Trend Wave, influencing its sensitivity. A higher value leads to a smoother, less volatile wave, focusing on longer-term market trends, whereas a lower value makes it more responsive to recent price actions.
Show Trend Pulse Indicator (ShowTrendPulse):
This parameter toggles the display of the Trend Pulse indicator, which analyzes the divergence between the current closing price and a double-EMA of a modified price average, providing insight into immediate market dynamics. Enabling (`true`) it adds this analysis to the chart, while disabling (`false`) removes it for focus on other trends.
Trend Pulse Length (TrendPulseLength):
Sets the length for the main double-EMA calculation in the Trend Pulse. A higher number smoothens the indicator, reducing sensitivity to minor price changes and highlighting more significant short-term trends.
Show Trend Strength Indicator (ShowTrendStrength):
Controls whether the Trend Strength indicator is displayed. This indicator uses a differential approach between fast and slow EMAs to assess the market's trend strength. Enabling it (`true`) provides a histogram view of the trend’s robustness, whereas disabling (`false`) omits this analysis.
Fast Average Length (FastAvgLen):
Specifies the period for the fast EMA in the Trend Strength indicator. Shorter periods make the EMA more sensitive to recent price changes, ideal for identifying new trend formations.
Slow Average Length (SlowAvgLen):
Determines the period for the slow EMA in the Trend Strength indicator. A longer period smoothens the EMA, useful for identifying sustained trend directions.
Threshold High (ThresholdHi):
This value sets a high threshold for the Trend Strength indicator. Values exceeding this threshold indicate a strong and established market trend, which can be critical for strategies focusing on trend continuity.
Threshold Low (ThresholdLow):
Defines a low threshold for the Trend Strength indicator. Values below this threshold suggest weak or emerging trends, signaling potential trend reversals or consolidations.
Threshold Trend (ThreshTrend):
Establishes a specific threshold within the Trend Strength indicator for identifying significant trends. Exceeding this threshold often suggests a trend with potential trading relevance.
Enable Threshold Low (ThresholdLowOnOff):
This option enables or disables the low threshold in the Trend Strength calculation. It allows traders to customize the indicator’s sensitivity to weaker trends.
Average Line (AvgLine):
Adjusts the period for an additional EMA line in the Trend Strength indicator. This line acts as a smoothing reference for the Trend Strength. This can also act as a threshold reference as when its below the ‘Threshold Low’ line this could identify sideways/choppy conditions.
Conclusion:
The "TrendGuard Pullback Trader Indicators" script provides a multidimensional analysis platform, combining in-depth momentum tracking, immediate market movement insights, and robust trend evaluation.
Remember, trading involves risk, and past performance is not indicative of future results.
You can see the “Author’s instructions" below to get immediate access to TrendGuard Pullback Trader Indicators & the rest of the “Quantigenics Premium Indicator Suite”.
Bearish ABCD Harmonic Patterns [theEccentricTrader]█ OVERVIEW
This indicator automatically draws bearish ABCD harmonic patterns and price projections derived from the ranges that constitute the patterns.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a close price equal to or above the price it opened.
• A red candle is one that closes with a close price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
Support and Resistance
• Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further.
• Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further.
Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level , with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level , with the expectation that the price will drop back down.
It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Muti-Part Upper and Lower Trends
• A multi-part return line uptrend begins with the formation of a new return line uptrend, or higher peak, and continues until a new downtrend, or lower peak, completes the trend.
• A multi-part downtrend begins with the formation of a new downtrend, or lower peak, and continues until a new return line uptrend, or higher peak, completes the trend.
• A multi-part uptrend begins with the formation of a new uptrend, or higher trough, and continues until a new return line downtrend, or lower trough, completes the trend.
• A multi-part return line downtrend begins with the formation of a new return line downtrend, or lower trough, and continues until a new uptrend, or higher trough, completes the trend.
Double Trends
• A double uptrend is formed when the current trough price is higher than the preceding trough price and the current peak price is higher than the preceding peak price.
• A double downtrend is formed when the current peak price is lower than the preceding peak price and the current trough price is lower than the preceding trough price.
Muti-Part Double Trends
• A multi-part double uptrend begins with the formation of a new uptrend that proceeds a new return line uptrend, and continues until a new downtrend or return line downtrend ends the trend.
• A multi-part double downtrend begins with the formation of a new downtrend that proceeds a new return line downtrend, and continues until a new uptrend or return line uptrend ends the trend.
Wave Cycles
A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa.
Figure 1.
Fibonacci Retracement and Extension Ratios
The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144.
The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on.
1.618 is considered to be the 'golden ratio', found in many natural phenomena such as the growth of seashells and the branching of trees. Some now speculate the universe oscillates at a frequency of 0,618 Hz, which could help to explain such phenomena, but this theory has yet to be proven.
Traders and analysts use Fibonacci retracement and extension indicators, consisting of horizontal lines representing different Fibonacci ratios, for identifying potential levels of support and resistance. Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak.
Harmonic Patterns
The concept of harmonic patterns in trading was first introduced by H.M. Gartley in his book "Profits in the Stock Market", published in 1935. Gartley observed that markets have a tendency to move in repetitive patterns, and he identified several specific patterns that he believed could be used to predict future price movements.
Since then, many other traders and analysts have built upon Gartley's work and developed their own variations of harmonic patterns. One such contributor is Larry Pesavento, who developed his own methods for measuring harmonic patterns using Fibonacci ratios. Pesavento has written several books on the subject of harmonic patterns and Fibonacci ratios in trading. Another notable contributor to harmonic patterns is Scott Carney, who developed his own approach to harmonic trading in the late 1990s and also popularised the use of Fibonacci ratios to measure harmonic patterns. Carney expanded on Gartley's work and also introduced several new harmonic patterns, such as the Shark pattern and the 5-0 pattern.
The bullish and bearish Gartley patterns are the oldest recognized harmonic patterns in trading and all the other harmonic patterns are ultimately modifications of the original Gartley patterns. Gartley patterns are fundamentally composed of 5 points, or 4 waves.
Bullish and Bearish ABCD Patterns
• Bullish ABCD patterns are fundamentally composed of two peaks and two troughs, with the second peak being lower than the first peak and the second trough being lower than the first trough. Which is the same as a double downtrend.
• Bearish ABCD patterns are fundamentally composed of two troughs and two peaks, with the second trough being higher than the first trough and the second peak being higher than the first peak. Which is the same as a double uptrend.
The most commonly recognised ratio measurements used by traders today are as follows:
• Wave 1 of the pattern, generally referred to as AB, has no specific ratio requirements.
• Wave 2 of the pattern, generally referred to as BC, should retrace by at least 61.8%, but no further than 78.6% of the range set by wave 1.
• Wave 3 of the pattern, generally referred to as CD, should extend to at least 127.2%, but no further than 161.8% of the range set by wave 2.
Measurement Tolerances
In general, tolerance in measurements refers to the allowable variation or deviation from a specific value or dimension. It is the range within which a particular measurement is considered to be acceptable or accurate. In this script I have applied this concept to the measurement of harmonic pattern ratios to increase to the frequency of pattern occurrences.
For example, the AB measurement of Gartley patterns is generally set at around 61.8%, but with such specificity in the measuring requirements the patterns are very rare. We can increase the frequency of pattern occurrences by setting a tolerance. A tolerance of 10% to both downside and upside, which is the default setting for all tolerances, means we would have a tolerable measurement range between 51.8-71.8%, thus increasing the frequency of occurrence.
█ FEATURES
Inputs
• BC Lower Tolerance
• BC Upper Tolerance
• CD Lower Tolerance
• CD Upper Tolerance
• Pattern Color
• Label Color
• Show Projections
• Extend Current Projection Lines
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
Bullish ABCD Harmonic Patterns [theEccentricTrader]█ OVERVIEW
This indicator automatically draws bullish ABCD harmonic patterns and price projections derived from the ranges that constitute the patterns.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a close price equal to or above the price it opened.
• A red candle is one that closes with a close price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
Support and Resistance
• Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further.
• Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further.
Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level , with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level , with the expectation that the price will drop back down.
It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Muti-Part Upper and Lower Trends
• A multi-part return line uptrend begins with the formation of a new return line uptrend, or higher peak, and continues until a new downtrend, or lower peak, completes the trend.
• A multi-part downtrend begins with the formation of a new downtrend, or lower peak, and continues until a new return line uptrend, or higher peak, completes the trend.
• A multi-part uptrend begins with the formation of a new uptrend, or higher trough, and continues until a new return line downtrend, or lower trough, completes the trend.
• A multi-part return line downtrend begins with the formation of a new return line downtrend, or lower trough, and continues until a new uptrend, or higher trough, completes the trend.
Double Trends
• A double uptrend is formed when the current trough price is higher than the preceding trough price and the current peak price is higher than the preceding peak price.
• A double downtrend is formed when the current peak price is lower than the preceding peak price and the current trough price is lower than the preceding trough price.
Muti-Part Double Trends
• A multi-part double uptrend begins with the formation of a new uptrend that proceeds a new return line uptrend, and continues until a new downtrend or return line downtrend ends the trend.
• A multi-part double downtrend begins with the formation of a new downtrend that proceeds a new return line downtrend, and continues until a new uptrend or return line uptrend ends the trend.
Wave Cycles
A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa.
Figure 1.
Fibonacci Retracement and Extension Ratios
The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144.
The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on.
1.618 is considered to be the 'golden ratio', found in many natural phenomena such as the growth of seashells and the branching of trees. Some now speculate the universe oscillates at a frequency of 0,618 Hz, which could help to explain such phenomena, but this theory has yet to be proven.
Traders and analysts use Fibonacci retracement and extension indicators, consisting of horizontal lines representing different Fibonacci ratios, for identifying potential levels of support and resistance. Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak.
Harmonic Patterns
The concept of harmonic patterns in trading was first introduced by H.M. Gartley in his book "Profits in the Stock Market", published in 1935. Gartley observed that markets have a tendency to move in repetitive patterns, and he identified several specific patterns that he believed could be used to predict future price movements.
Since then, many other traders and analysts have built upon Gartley's work and developed their own variations of harmonic patterns. One such contributor is Larry Pesavento, who developed his own methods for measuring harmonic patterns using Fibonacci ratios. Pesavento has written several books on the subject of harmonic patterns and Fibonacci ratios in trading. Another notable contributor to harmonic patterns is Scott Carney, who developed his own approach to harmonic trading in the late 1990s and also popularised the use of Fibonacci ratios to measure harmonic patterns. Carney expanded on Gartley's work and also introduced several new harmonic patterns, such as the Shark pattern and the 5-0 pattern.
The bullish and bearish Gartley patterns are the oldest recognized harmonic patterns in trading and all the other harmonic patterns are ultimately modifications of the original Gartley patterns. Gartley patterns are fundamentally composed of 5 points, or 4 waves.
Bullish and Bearish ABCD Patterns
• Bullish ABCD patterns are fundamentally composed of two peaks and two troughs, with the second peak being lower than the first peak and the second trough being lower than the first trough. Which is the same as a double downtrend.
• Bearish ABCD patterns are fundamentally composed of two troughs and two peaks, with the second trough being higher than the first trough and the second peak being higher than the first peak. Which is the same as a double uptrend.
The most commonly recognised ratio measurements used by traders today are as follows:
• Wave 1 of the pattern, generally referred to as AB, has no specific ratio requirements.
• Wave 2 of the pattern, generally referred to as BC, should retrace by at least 61.8%, but no further than 78.6% of the range set by wave 1.
• Wave 3 of the pattern, generally referred to as CD, should extend to at least 127.2%, but no further than 161.8% of the range set by wave 2.
Measurement Tolerances
In general, tolerance in measurements refers to the allowable variation or deviation from a specific value or dimension. It is the range within which a particular measurement is considered to be acceptable or accurate. In this script I have applied this concept to the measurement of harmonic pattern ratios to increase to the frequency of pattern occurrences.
For example, the AB measurement of Gartley patterns is generally set at around 61.8%, but with such specificity in the measuring requirements the patterns are very rare. We can increase the frequency of pattern occurrences by setting a tolerance. A tolerance of 10% to both downside and upside, which is the default setting for all tolerances, means we would have a tolerable measurement range between 51.8-71.8%, thus increasing the frequency of occurrence.
█ FEATURES
Inputs
• BC Lower Tolerance
• BC Upper Tolerance
• CD Lower Tolerance
• CD Upper Tolerance
• Pattern Color
• Label Color
• Show Projections
• Extend Current Projection Lines
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
Trend/Retracement - ZigZag - New wayZigZag for Trend and Retracements - New way
It's another way to plot ZigZag based on lookback period for trend and % of trend lookback period to plot retracements.
█ OVERVIEW
Plot ZigZag, Trend lines, Retracements, Support levels, Resistance levels
█ Objective:
Draw ZigZag lines along with unbroken support and resistance levels. ZigZag lines are drawn for main trend and the retracements.
Main Trend – This is calculated based on lookback period.
Retracements – Retracements are calculated as 25% of main trend.
Support and Resistance line: The indicator draws 2 types of support and resistance lines
1. Un-broken – Once formed (plotted), these are the support and resistance which are not yet broken
2. Tested – One can also choose to see support and resistance lines which are tested but not broken. Tested support/resistance are those levels which are touched by high/low price but close price has not crossed the level.
█ How main trend point is calculated:
E.g.
Chart timeframe = 15m
Lookback period = 250
Retracement = 25% of main trend ( 25% of 250 = 62 )
A price point on a chart is considered as trend point if distance between current price and previous highest price is 250 candles
A price point is considered as a retracement if distance between current price and previous highest price is 62 candles. Please note retracements are calculated only after finding a main trend point.
█ Input parameters:
Zigzag Parameters
Use predefined Lookback – If checked pre-defined timeframe-based lookback parameters are used.
Trend lookback candles – If ‘Use predefined Lookback’ is unchecked then this value is used as lookback period.
Retracement % of look back candles– If ‘Use predefined Lookback’ is unchecked then this value is used for calculating retracement lookback period
Mark retracements – If unchecked only main trend lines are plotted
Plot support/resistance – To plot support/resistance levels
Show support/resistance tested lines – If checked tested support/resistance liens are shown on the chart
█ TF based Lookback period config (Defaults are set as specified below, One can change these defaults to use different lookback periods)
The defaults set here are used based on the chart timeframe. e.g. if chart timeframe is changed from say 15m to 60m then 60m chart defaults (i.e. trend lookback = 90) are used to plot the trend and the retracements. At the bottom-right of the chart, parameters used for plotting are displayed all the time.
Timeframe in minute – Default = 5m
Trend lookback candles – Default = 375 (~ 5 days of data)
Timeframe in minute – Default = 15m
Trend lookback candles – Default = 250 (~10 days of data)
Timeframe in minute – Default = 60m
Trend lookback candles = Default = 90 (~ 15 days of data)
Trend lookback candles for timeframe 'D' – Default = 30 (~1 month data)
Trend lookback candles for timeframe 'W' – Default = 21 (~6 months data)
Trend lookback candles for timeframe 'M' – Default = 12 (~1year data)
Retracement % of look back candles – Default = 25%
█ When and where one can use this indicator (Refer to chart examples)
To view support and resistance based on lookback period
To view ZigZag lines
One can use it to find chart patterns easily
Trend and retracement lines can help in drawing Elliott waves.
█ Chart examples:
1. Chart patterns can be easily identified - One can disable the candle charts which will help to identify and draw chart patterns easily
2. Trend and retracement lines can also help is analyzing charts (e.g. Elliott Waves can be marked based on trend lines)
3. Tested but not broken support and resistance lines can be viewed
4. You can select 'NOT' to plot tested support and resistance lines
5. Uncheck the Mark retracements to plot main trend lines (Retracements are not marked)
München's Momentum WaveMUNICH'S MOMENTUM WAVE:
This momentum tracker has features sampled from Madrid's moving average ribbon but has differentiated many values, parameters, and usage of integers. It is derived using momentum and then creates moving averages and mean lengths to help support the strength of a move in price action, and also has the key mean length that helps determine HL/LH or rejections into trend continuation. This indicator works on ALL TIME FRAMES, ALL ASSET CLASSES ON ALL SETTINGS!!
HOW DO I USE IT?
*First off, I have arranged the input settings into groups based on the parts of the indicator it affects.
*You want to use the aqua/white/yellow (Munich's line) as your leading indicator, this is a combined average of the MoM indicator.
* When using Munich's line you want to look at the relation to the mean line (the flat line that adjusts based on price action. You will often see rejections of this line into trend continuation. I personally have caught perfect LH/HL bounce trades off of this indicator.
* Use the Background and other colored moving averages to help pre-determine moves based on the -3 offset value of Munich's line. This was by design not to create 'accurate' results, but to help predict momentum swings based on sharper moves in price action better than if all values lined up to the current bar.
Cheat Code's Notes:
I hope you guys find this indicator to be useful, this is most likely the best indicator that I have written. Simply for the fact it is useful on any chart, any timeframe with any setting. If you guys have any issues with it, shoot me a pm or drop a comment. Thanks!
-CheatCode1
BINANCE:BTCUSDT BITSTAMP:ETHUSD BITSTAMP:BTCUSD PEPPERSTONE:JPYX TVC:DXY TVC:NDQ AMEX:SPY
All TimeFrame OscillatorsI have always fighted to understand the market direction because it looks different on different timeframes.
I wanted an indicator where I can see all the different timeframes at once.
This indicator shows already existing oscillators but not only in the current chart's timeframe, but all the most important higer timeframes at once.
I have started with the stoch, then added as many oscillators as I could.
Experimenting with this I have saw that confluence of 4H 1D and 1W Stoch can be very interesting and can highlight higher timeframe take profit areas and sometimes major tops/bottoms.
Also bounces can be interesting when a lower timeframe stoch is bounced or rejected from a higher one.
Oscillators:
Stoch - Stochastic Oscillator
SMI - Stochastic Momentum Index
Rsi - Relative Strength Index
StochRsi - Stochastic RSI
WaveTrend - Vumanchu alias Market Cypher Wave Trend line
CCI - Commodity Channel Index
CCIStoch - Stochastic CCI
Williams Percent Range - Williams %R
Norm. MACD - Normalized Moving Average Convergence Divergence
Norm. MACD Hist - Normalized MACD Histogramm
PVT - Normalized Price Volume Trend
MFI - Money Flow Index
CMF - Chaikin Money Flow
Chande Momentum - Chande Momentum
Volume - Normalized Volume
CandleValue - Vumanchu alias Market Cypher MoneyFlow
BBWP - Bollinger Band Width Percentile
Line Type
Smooth: lines are smoothed, but the actualy not closed values are not shown
Step: Step lines, the actually open timeframes are calculated as they closed at the current values
Plot Oscillator or it's Slope:
its possible to not plot the oscillator but it's slope
Print dots when:
Cross Up/Down oversold/overbougt level - best for most oscillators. for example when Stoch crosses above 20 or below 80
Cross os/ob and the one higher TF is about to cross - when it's crosses beolw 80 and the higher timeframe oscillator is still above ans sloping down
Cross above/below middle line - for example on RSI being above or below 50 can be interesting
Print triangles when:
All Slope Match - all visible timeframe lines are pointing up or down at the same time
All above/belove middle line - all visible lines are above or belove the middle line
All above/belove middle line and slope match - like the previous one and the slope direction is the same
All above/below oversold/overbougt - all lines are above or below os/ ob. this is the default. it can be a very important confluence
Lower TF in order - 5, 15, 30, 60 minute timeframes are in order.
Higher TF in order - 4H 1D 1W in order (like 4H above 1D abd 1D above 1W). can be interesting at RSI
4H-1D in order - 4H 1D in order .
Print triangles
Print all triangles - print all triangles when the condition is met
Print only first triangles - only show when the condition starts to met
Print only last triangles - small triangles when the condition met first, large when last. tis is the default.
Timeframes to show:
You can turn on/off different timeframs to show or not from the list below:
1m 5m 15m 30m 1H 4H D 5D W M
This is for experimenting/ understanding the market direction on multiple timeframes at once.
Don't take it's signals (and any other indicator's) as exact trade signals. use it as confirmation instead.
Any comments, insights, ideas are welcome.
MarketVision Screener█ OVERVIEW
• Screens 36 Assets at Once
• This Screener is Unique in that it turns my MarketVision series of Indicators Into a Complete Trading System
• To help you Automatically find Possible Turning Points in the Market the Following MarketVision Parameters are Displayed
o Linear Regression Direction and whether Price can be considered Over Bought / Sold according to the Linear Regression Channel (This works exceptionally well if used in confluence with manually drawn Fibonacci retracements)
o RSI value and Over / Very Over Bought / Sold condition
o Trend Meter – Shows Condition of the Trend Meter and its associated Trend / Money Flow Bar
o Wave Trend Crossing Condition taken from MarketVision B or Cipher B
o Wave Trend Divergences
o Super Trend Direction – Not a usual MarketVision parameter but it helps
• Furthermore you can choose where abouts on your chart you want the Screener displayed – this allows for multiple Screeners on one chart
█ HOW TO USE IT
• Look for Confluence between different parameters,
• For example Linear Regression Pointing Down and Price Over Bought according to both RSI and Linear Regression Channel, this is where you can look for maybe a Wave Trend cross down or a specific Candle Stick Pattern on you Chart with a Divergence
• Other confluences that work well are Trend Meter cross at the same time as a Wave Trend cross – Look for This Symbol "⯅ ⬱🡅⇶" or "⬱🡇⇶ ⯆"
• There are many possibilities the rest is up to you and your Trading Style / System
• Feel the Power
█ LIMITATIONS
• Can Not Set Alerts at This Stage – This is for a future Update or Script
• Slow Loading Time – As this is a rather long script Loading time is dependent on Internet Speed and your Computer Hardware
█ CREDITS
• Tradingview for the Pine Script Engine found under the hood of these amazing scripts
• QuantNomad and Others for their pioneering work making it possible to bring these sorts of advanced scripts to life
█ DISCLAIMER
• Not Financial Advice BUT
• Always use Proper Risk / Money Management – Never Risk more than you can Afford to Lose, Preferably not more than 1% - 2% of your Account
• Do Not FOMO or Revenge Trade
• Please remember that Past Performance may not be indicative of future results
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical Back Testing
Whale Momentum Wave Oscillator//Credits: @Noldo - Whale Trading System @rumpypumpydumpy - ALMA Ribbons @QuantNomad - Elastic Volume Weighted Moving Average
Composite Indicator, created by taking QuantNomad's EVWMA and using that as input for a variation of rumpypumpydumpy's ALMA Ribbons. Each Ribbon had its sub ribbons summed up and then averaged. The averages were then fed through the ta.rsi and the ta.mom functions giving us our momentum waves. Signal line created from the close value being fed through the ta. ema into the ta.rsi then ta.wma then ta.mom function. Why those in that order? No reason in particular just what I stumbled upon after many variations. I then overlayed Noldo's Whale Trading System to view what "whales" were doing, giving us a good view of when capital is flowing into and out the asset which often contradicts the momentum waves prior to trend changes. Provides a nice visual for how capital is moving along with momentum. Can see when smart money is buying up a big dip or of they seem to still be waiting on the sidelines.
ProWaves - [Soldi]ProWaves
Introducing the latest and greatest tool in the DynaPro Trading Tools! ProWaves is a multi timeframe precision trend tool to help traders identify the waves of the market and trade the convergence, exhaustion points, continuation points of multiple timeframes.
By default you will have a 15m, 1h and 2h Wave on your indicator - this is completely customizable by the user! You can choose up to 3 higher timeframes to display the underlaying wave trend.
How Do I Enter Trades?
To bring ProWaves into a full trading system someone could easily use we have to make a trade trigger system for potential entries - an original and unique Trend Bar system to easily signal a trader that there is an entry present. These trend bars use 2 sensitive weighted moving averages based off the HL2 of the candle, we offset them to create a ribbon like effect to help eliminate any false signals
Include this in your own trading strategy or compile it with DynaPro's other institutional caliber tools!
To use ProWaves effectively you will want to understand wave theory first
This indicator is based off the idea of Elliot wave and fractal cycles of the market, to really understand what this indicator is reading you will need to understand what Elliot Wave is along with fractal cycles in the markets.
What Are The Waves Based On
The waves are primarily a Correlation function to make an oscillated value of "trend", by doing so and measuring this across multiple timeframes we are able to gain a sense of clarity on the tops and bottoms of the markets as well as the trends that take place in between!
NOTE
When the Waves are above/below - 0.5/-0.5 then the wave is in an area of significance for either a reversal or to influence a trend - couple this with the precision of the Trend Bars system then you have a great trading system!
FxCanli ZigZagEN - You can spot current trend and lots of patterns with FxCanli ZigZag indicator EASLY
TR - FxCanli ZigZag indikatörü mevcut trendi ve birçok formasyonu KOLAYCA bulmanızda size yardımcı olacaktır.
Harmonic Patterns / Harmonik Formasyonları
Elliott Wave / Elliott Dalgaları
AB=CD Pattern / AB=CD Formasyonu
EN - By activating the lower timeframe from the settings, you can see the lower timeframe waves.
TR - Ayarlardan alt zaman dilimini aktif ederek, alt zaman dilimi dalgalarını görebilirsiniz.
EN - By activating the higher timeframe from the settings, you can see the higher timeframe waves.
TR - Ayarlardan üst zaman dilimini aktif ederek, üst zaman dilimi dalgalarını görebilirsiniz.
[VC] Box Chart Index V1.0The ''V.C Box Chart Index'' shows the shortest possible wave. It graphically shows the continuous up movement or continuous down movement in the form of a box. As soon as the direction changes, the box changes as well.
It is an effortless way to show the price change that occurred in the box visually. It also correlates to what Wyckoff said about as the buying waves increase in volume, time, and length & the selling waves shorten, lookout for a change in the prevailing trend.
The example below shows more big green boxes than red, and the price change caused by the green box has made the uptrend.
Important Note:
V.C Box Chart Index also correlates to another indicator named V.C Box Chart Histogram
V.C Box Chart Histogram draws the cumulative delta based on each box as a histogram. Combining these two indicators empowers you to see the cumulative demand & supply and buying & selling quantity of each box.
See the Example Blow:
The above example shows that supply is decreasing on down boxes, indicating that fewer sellers are left to pull the market down.
On the other hand, demand increases on the up boxes, indicating that more buyers are coming into the market. As a result, every green box is breaking the previous high & price is moving upside.
For a more comprehensive understanding of the co-relation of these two indicators, read the description from the link below.
V.C Box Chart Index Settings & Properties Explained
Border of Box:
Allow you to show/hide the border of the box
Positive Box & Negative Box Borders:
Allow you to change the border color & opacity
Positive Box & Negative Box:
Allow you to change the color & opacity of the box
Disclaimer Note:
V.C Box Chart Index is not a BUY/SELL signal based indicator or a holy grail trading system.
It is purely Volume, Delta, Orderflow, Demand & Supply imbalance and comparative analysis based indicator tool kit. Before applying this indicator to your analysis, you should know about Volume, Delta & Spread, and Demand & Supply.
Some basic understanding of Sir Richerd Wyckoff's Theory can also be helpful.
Trend MasterThis is a trend aggregator for confirmation and trend signals. It basically aggregates many buy/sell signals and confirmation and by combining them provides a strong buy/sell signal or trend confirmation.
The actual layout idea and trend confirmation is derived from Trend Meter and this indicator uses few other indicator, such as Chandelier Exit, WaveTrend, QQE Signals, Parabolic SAR and AlphaTrend. This indicator aggregates signal from different methods to find out more powerful and confirmed Trend and combines them into one Signal. It also uses Technical Ratings from TradingView team to filter out false signal, it tremendously opts out false signals and improve profitability.
The first seven dots are these
All 3 Trend Meters Now Align
MACD Crossover - Fast - 8, 21, 5
RSI 13: > or < 50
RSI 5: > or < 50
MA Crossover
MA Crossover
Chaikin Money Flow
Alphatrend
Technical Ratings
Then trend
Chandelier Exit
WaveTrend
QQE Signals
Parabolic Sar
All 3 Trend Meters aligns and A signal from trend i
Instructions
Change buy/sell policy based on market trend
Works on all TimeFrame but gives more accuracy on 4H, 1D.
Buy when green big dot appears at the bottom.
Sell when red big dot appears at the bottom.
Red/green dot at the top line appears when three trend meter is aligned and this is a good confirmation.
Any red/green dot below horizontal bars are trend signals.
Big red/green got at the bottom appears whenever there's a good confirmation from trend meter and a buy/sell signal comes from any trend signals.
Also look on the technical ratings bar, green means buy, red means sell and yellow means neutral.
Look for Support or Resistance Levels for price to be attracted to.
Find confluence with other indicators.
The more Trend meters are lit up the better.
Alert
01 Buy Signal = Strong Buy Signal
02 Sell Signal = Strong Sell Signal
03 Buy Signal = Strong Buy Signal
04 Sell Signal = Strong Sell Signal
Thanks to TradingView Technical Ratings authors, evergot, Lij_MC, KivancOzbilgic for their work. This indicator was heavily inspired from their work.
Ichimoku Cloud OscillatorThis script shows Ichimoku values in a different manner. While studying Ichimoku one thing stuck out to me and that is that the Kijun-Sen line is considered to be the equilibrium of the market, it acts like a magnet and price always returns to it. Taking this into account I made a script that plots the distance from equilibrium as an oscillator.
With that value being an oscillator it allows for some analysis that would have been harder to do looking at the normal ichimoku chart. For example smoothing the value and comparing the distance to the average distance to see if the market reached an extremity (too far from equilibrium). I added a bollinger band for those who are interested in analysing the value in that way but in my experience I do not use it except for noticing if market spiked outside of the band (green and red dots).
It is advised to use this oscillator as a trend analysis tool the same way you would use a money flow. Below a breakdown of current features
- Disequilibrium1: The white sharp wave is the raw distance from Kijun with settings to smooth it out using a WMA
- Disequilibrium2: The blue smooth wave is the smooth distance from Kijun with settings to smooth it further out using a WMA
- Yellow line: The distance of Tenkan-Sen from Kijun-Sen which in alot of ichimoku strategys act as a trend filter or a crossover as market change.
- Green and red zone: The slope of the kumo cloud, color coded to see if kumo is red or green. Use it in the same way you would use money flow on market cypher, it is a longer term trend strength indicator and like all smoothed values it lags behind. You can use this to decide which direction to trade in but not as a signal on it's own.
- Bollinger Band: Acts the same way a bollinger band does, use this to analyse the wave structure, especialy the middle line the same way you would use Disequilibrium2, if the waves are a good distance from this line market can be overbought oversold or it is just a good indication that the trend is strong. Outer bands should be your warning bands as the waves tend to jump back to the middle line when touching those.
Would love some feedback on this as I do not think this can be used for divergences but would like to hear some possible patterns/strategys.
My current strategy is noticing an increasing wave after a squeeze (waves keep getting smaller untill a large trend happens, wave no longer goes to middle and keeps expanding). When I notice this I wait for the white wave to enter the blue and touch the mid bollinger line (small pullback during strong trend) and open a trade in the direction of the trend. I use the green and red zone to decide if the long term direction tells the same to get confluence.
OJLJ Elliott Waves detector (Free)This script is made to identify Elliot Waves by setting a zigzag line as principal source, it identifies patterns with the most common rules, in the chart you will see a number in each wave detected, a wave could have the characteristics to be two different waves so it will be plotted the options that could be, To identify which one is most trustable I suggest to use the Fibonacci levels options as an additional note this is a free update to my existing script.
Features:
+ All waves ? (Option to show just the 5 Wave patterns recognition)
+ Draw zigzag line (Option to show the zigzag line)
+ Supports Multiple instruments, from FOREX to Stocks
+ It works on all the timeframes
+ Show Fib levels (Option to show the Fibonacci levels)
+ Fibonacci levels fit test (Green crosses mark were should a Bull wave be to fit with a Fibonacci Level While the purple crosses show were should the wave fit to be a bear trend, the more closer with the point of the wave the most trustable Example, a 5 Wave Bull could also be a 2 Bear Wave, if the green cross is closer to the orange point of the wave then is a 5 Wave Bull, if the purple cross is closer to the orange point)
+ A background color also show when a 5 pattern is identified
+ The way to plot the zigzag can be changed with 3 Input options
Characteristics to add in future updates (Please if you like it you can support me with coins):
+ Detect more than 1 cycle at the same time
+ Use a volume indicator to identify how many volume was traded in each wave
+ Implement the use of the EWO ( Elliot Wave Oscillator)
+ Improve the display
+ Identify ABC patterns
+ Add triangles and Zigzag formations
