Harmonic Pattern Detector [The_lurker]
📊 Harmonic Pattern Detector
An advanced indicator designed to automatically detect and visualize harmonic patterns on price charts with high accuracy. It is based on Fibonacci ratios, ZigZag structures, and pivot points, offering traders precise identification of potential reversal zones.
The indicator supports detection of 13 major harmonic patterns: Gartley, Butterfly, Bat, Crab, Deep Crab, AB=CD, Cypher, Shark, Three Drives, Wolfe Waves, 5-0, Black Swan, and Anti-Gartley.
Each pattern is matched using ideal Fibonacci ratios with a customizable error margin. Patterns are validated only if the similarity score (accuracy) is greater than or equal to 80%, ensuring reliable signals.
🔎 How It Works:
1️⃣ Pivot Point Detection
The indicator uses a function to find major swing highs and lows (`findPivots`), based on a configurable pattern length (default is 18 candles). These pivots are stored in arrays: `pivotPrices`, `pivotBars`, and `pivotDirections`.
2️⃣ ZigZag Construction
With the pivots detected, the indicator constructs a ZigZag structure by connecting the relevant price points using `buildZigZag`. These lines represent the fundamental price movements forming harmonic shapes.
3️⃣ Fibonacci Ratio Calculation
From the ZigZag, the indicator extracts points labeled X, A, B, C, and D, then calculates key Fibonacci ratios:
* XAB = |B-A| / |X-A|
* ABC = |C-B| / |A-B|
* XAD = |D-A| / |X-A|
4️⃣ Pattern Matching Algorithm
Each pattern has its ideal Fibonacci ranges. The ratios are compared with these ranges using adjustable error margins:
ERROR_MARGIN_MIN = (100 - DETECT_ERROR_MARGIN_PERCENT) / 100
ERROR_MARGIN_MAX = (100 + DETECT_ERROR_MARGIN_PERCENT) / 100
If all required ratios for a pattern fall within these bounds, the pattern is considered a potential match.
5️⃣ Similarity Score Calculation
To evaluate accuracy, each pattern gets a similarity score by comparing actual vs. ideal ratios. For example:
simXAB = min(xabRatio / idealXAB, idealXAB / xabRatio)
simABC = min(abcRatio / idealABC, idealABC / abcRatio)
simXAD = min(xadRatio / idealXAD, idealXAD / xadRatio)
similarity = (simXAB + simABC + simXAD) / 3
Only patterns with a similarity ≥ MIN\_RATING\_PERCENT (default 80%) are shown.
6️⃣ Visual Output
When a pattern is detected, it is displayed by connecting the points X→A→B→C→D. A label is drawn at point D showing:
* Pattern Name
* Emoji (e.g., 🦋 for Gartley)
* Similarity percentage (e.g., "92%")
Patterns are color-coded:
🟢 Green for Bullish
🔴 Red for Bearish
⚙️ Configurable Settings:
* ENABLE_PATTERN_DETECTION`: Toggle to enable or disable pattern detection
* PATTERN_LENGTH_INPUT`: Number of candles to consider for structure
* DETECT_ERROR_MARGIN_PERCENT`: Controls allowed deviation from ideal Fibonacci ratios
* MIN_RATING_PERCENT`: Minimum similarity percentage to display a pattern (e.g., 80%)
🎨 Display Customization:
* Customize ZigZag lines (solid, dotted, dashed)
* Control thickness, color, and style of lines
* Adjust label font size, position, and visibility
* Enable or disable specific pattern types
* Modify Fibonacci levels used per pattern
Labels include emojis for easier recognition:
🦋 Gartley | 🐝 Butterfly | 🦈 Shark | 🐺 Wolfe Waves | 🦢 Black Swan | ⚡ Anti-Gartley
📚 Pattern Definitions:
Gartley: XAB ≈ 0.618, ABC ≈ 0.382–0.886, XAD ≈ 0.786
Butterfly: XAB ≈ 0.786, XAD ≈ 1.272
Bat: XAB ≈ 0.382–0.50, XAD ≈ 0.886
Crab / Deep Crab: XAD ≈ 1.618–1.902
AB=CD: AB equals CD (symmetrical moves)
Cypher: ABC ≈ 1.13–1.414, XAD ≈ 0.786
Shark: XAD ≈ 1.0–1.13
Three Drives: Three legs with Fibonacci extensions
Wolfe Waves: Geometrically aligned points, XAD ≈ 1.272–1.618
5-0: CD retraces 50% of previous wave
Black Swan: Rare, sharp pattern, XAD ≈ 3.618–4.236
Anti-Gartley: Reverse Gartley with custom ratios
📈 Target Markets:
This indicator is effective for analyzing:
✔ Forex
✔ Stocks
✔ Crypto
✔ Commodities (Gold, Oil, etc.)
Suitable for multiple trading styles:
* Scalping
* Swing Trading
* Position Trading
✨ Key Features:
✅ 13 harmonic patterns supported
✅ Automatic detection with accuracy scoring
✅ Adjustable error margins
✅ Fully customizable display
✅ Pattern-specific toggles
✅ Bullish/Bearish color-coded output
✅ Informative labels with pattern name, emoji, and similarity
⚠️ Disclaimer:
This indicator is for educational and analytical purposes only. It does not constitute financial, investment, or trading advice. Use it in conjunction with your own strategy and risk management. Neither TradingView nor the developer is liable for any financial decisions or losses.
كاشف الأنماط التوافقية 📊
مؤشر متطور مصمم للكشف التلقائي عن الأنماط التوافقية على مخططات الأسعار وتصورها بدقة عالية. يعتمد على نسب فيبوناتشي، وهياكل الزجزاج، ونقاط الارتكاز، مما يوفر للمتداولين تحديدًا دقيقًا لمناطق الانعكاس المحتملة.
يدعم المؤشر الكشف عن 13 نمطًا توافقيًا رئيسيًا: جارتلي، الفراشة، الخفاش، السلطعون، السلطعون العميق، AB=CD، السايفر، القرش، ثلاثة محركات، موجات وولف، 5-0، البجعة السوداء، ومضاد جارتلي.
يتم مطابقة كل نمط باستخدام نسب فيبوناتشي مثالية مع هامش خطأ قابل للتخصيص. لا يتم التحقق من صحة الأنماط إلا إذا كانت درجة التشابه (الدقة) أكبر من أو تساوي 80%، مما يضمن إشارات موثوقة.
🔎 كيفية العمل:
1️⃣ اكتشاف نقاط الارتكاز
يستخدم المؤشر دالة للعثور على قمم وقيعان التأرجح الرئيسية (`findPivots`)، بناءً على طول نمط قابل للتخصيص (الطول الافتراضي هو 18 شمعة). تُخزّن هذه النقاط المحورية في مصفوفات: `pivotPrices`، `pivotBars`، `pivotDirections`.
2️⃣ بناء ZigZag
بعد اكتشاف النقاط المحورية، يُنشئ المؤشر بنية ZigZag بربط نقاط السعر ذات الصلة باستخدام `buildZigZag`. تُمثل هذه الخطوط تحركات الأسعار الأساسية مُشكّلةً أشكالًا توافقية.
3️⃣ حساب نسبة فيبوناتشي
من ZigZag، يستخرج المؤشر النقاط المُسمّاة X، A، B، C، وD، ثم يحسب نسب فيبوناتشي الرئيسية:
* XAB = |B-A| / |X-A|
* ABC = |C-B| / |A-B|
* XAD = |D-A| / |X-A|
4️⃣ خوارزمية مطابقة الأنماط
لكل نمط نطاقات فيبوناتشي مثالية. تُقارن النسب بهذه النطاقات باستخدام هوامش خطأ قابلة للتعديل:
ERROR_MARGIN_MIN = (100 - DETECT_ERROR_MARGIN_PERCENT) / 100
ERROR_MARGIN_MAX = (100 + DETECT_ERROR_MARGIN_PERCENT) / 100
إذا وقعت جميع النسب المطلوبة للنمط ضمن هذه الحدود، يُعتبر النمط مطابقًا محتملًا.
5️⃣ حساب درجة التشابه
لتقييم الدقة، يحصل كل نمط على درجة تشابه بمقارنة النسب الفعلية بالنسب المثالية. على سبيل المثال:
simXAB = min(xabRatio / idealXAB, idealXAB / xabRatio)
simABC = min(abcRatio / idealABC, idealABC / abcRatio)
simXAD = min(xadRatio / idealXAD, idealXAD / xadRatio)
التشابه = (simXAB + simABC + simXAD) / 3
يتم عرض الأنماط التي يكون تشابهها ≥ MIN\_RATING\_PERCENT (الافتراضي 80%) فقط.
6️⃣ المخرجات المرئية
عند اكتشاف نمط، يتم عرضه بتوصيل النقاط X→A→B→C→D. يتم رسم علامة عند النقطة D تُظهر:
* اسم النمط
* رمز تعبيري (مثل 🦋 لنمط جارتلي)
* نسبة التشابه (مثل "92%))
الأنماط مُرمَّزة بالألوان:
🟢 أخضر للارتفاع
🔴 أحمر للانخفاض
⚙️ إعدادات قابلة للتخصيص:
* تمكين كشف النمط: تفعيل أو تعطيل كشف النمط
* إدخال طول النمط: عدد الشموع المُراد حسابها للهيكل
* كشف الخطأ: نسبة الهامش: يتحكم في الانحراف المسموح به عن نسب فيبوناتشي المثالية
* الحد الأدنى لنسبة التشابه لعرض النمط (مثل 80%)
🎨 تخصيص العرض:
* تخصيص خطوط متعرجة (متصلة، منقطة، متقطعة)
* التحكم في السُمك واللون ونمط الخطوط
* ضبط حجم خط التسمية وموضعه ووضوحه
* تفعيل أو تعطيل أنواع أنماط محددة
* تعديل مستويات فيبوناتشي المستخدمة لكل نمط
تتضمن التسميات رموزًا تعبيرية لتسهيل التعرف عليها:
🦋 جارتلي | 🐝 فراشة | 🦈 سمكة قرش | 🐺 موجات وولف | 🦢 بجعة سوداء | ⚡ نمط مضاد لـ غارتلي
📚 تعريفات الأنماط:
غارتلي: XAB ≈ 0.618، ABC ≈ 0.382–0.886، XAD ≈ 0.786
فراشة: XAB ≈ 0.786، XAD ≈ 1.272
خفاش: XAB ≈ 0.382–0.50، XAD ≈ 0.886
سرطان البحر/سرطان البحر العميق: XAD ≈ 1.618–1.902
AB=CD: AB يساوي CD (حركات متماثلة)
سايفر: ABC ≈ 1.13–1.414، XAD ≈ 0.786
شارك: XAD ≈ 1.0–1.13
ثلاثة أرجل: ثلاثة أرجل مع فيبوناتشي امتدادات
موجات وولف: نقاط متوازية هندسيًا، XAD ≈ 1.272–1.618
5-0: تصحيح CD بنسبة 50% من الموجة السابقة
البجعة السوداء: نمط نادر وحاد، XAD ≈ 3.618–4.236
مضاد جارتلي: جارتلي معكوس بنسب مخصصة
📈 الأسواق المستهدفة:
هذا المؤشر فعال لتحليل:
✔ الفوركس
✔ الأسهم
✔ العملات المشفرة
✔ السلع (الذهب، النفط، إلخ)
مناسب لأنماط تداول متعددة:
* المضاربة السريعة
* تداول التأرجح
* تداول المراكز
✨ الميزات الرئيسية:
✅ دعم 13 نمطًا توافقيًا
✅ كشف تلقائي مع تسجيل الدقة
✅ هوامش خطأ قابلة للتعديل
✅ شاشة قابلة للتخصيص بالكامل
✅ مفاتيح تبديل خاصة بالأنماط
✅ مخرجات مرمزة بالألوان للصعود/الهبوط
✅ تسميات توضيحية مع النمط الاسم، والرموز التعبيرية، والتشابه
⚠️ إخلاء مسؤولية:
هذا المؤشر لأغراض تعليمية وتحليلية فقط. لا يُمثل نصيحة مالية أو استثمارية أو تداولية. استخدمه بالتزامن مع استراتيجيتك الخاصة وإدارة المخاطر. لا يتحمل TradingView ولا المطور مسؤولية أي قرارات مالية أو خسائر.
Pita dan Kanal
Smart Range Zones [Dr. Hafiz]Smart Range Zones
Description:
This indicator highlights key market zones — High Range, Mid Range, and Low Range — to help traders visually understand dynamic support and resistance levels.
✅ High Range: Potential supply/resistance area
✅ Mid Range: Fair value or equilibrium zone
✅ Low Range: Potential demand/support area
The zones are calculated based on the highest and lowest price over a user-defined period (default: 130 bars) and dynamically projected forward.
🔸 EMA 15 Line is included as an optional trend filter — helping confirm direction or trend alignment.
🔧 Features:
Auto-calculated High/Mid/Low zones
Real-time dynamic projections
Right-aligned zone labels inside each box
Clean visual structure
Toggle for showing/hiding EMA 15
📌 Best suited for:
Intraday & swing traders
Range breakouts and rejections
Trend confirmation with EMA
Created and published by Dr. Hafiz, modified under the MPL 2.0 license.
WRAMA Channel (Weighted RSI ATR MA)OVERVIEW
The WRAMA Channel (Weighted RSI ATR MA) is an advanced technical analysis tool designed to react more quickly to price movements compared to indicators using conventional moving averages. It combines the Relative Strength Index (RSI), Average True Range (ATR), and a weighted moving average, resulting in the WRAMA. This indicator forms a dynamic price channel based on a weighted average that incorporates both trend strength (via RSI) and market volatility (via ATR). It helps traders identify trends, potential reversals, and breakout signals, while offering broad customization options.
Key Features
WRAMA Price Channel:
Generates a dynamic channel around the weighted moving average (WRAMA), adapting to market volatility and momentum, similar to Bollinger Bands. Users are encouraged to adjust channel width and length according to their strategy.
The upper and lower channel bands are calculated based on a percentage deviation from the baseline line.
The channel fill color changes depending on the price's position relative to the baseline (green above, red below), with an optional gradient for better visualization.
Weighted Moving Average (WRAMA):
WRAMA is a custom weighted moving average (MA1), where closing prices are weighted based on RSI and ATR, allowing it to dynamically adapt to market conditions.
Baseline: The WRAMA line calculated over a user-defined period.
WRAMA Calculation:
RSI Weight: Based on RSI value. When RSI is in extreme zones (below the lower threshold or above the upper threshold), an extreme weight is applied. Otherwise, the weight is based on the squared RSI value divided by 100, raised to a power defined by the rsi_weight_factor.
ATR Weight: Based on the ATR-to-average-ATR ratio. If ATR exceeds a threshold (atr_threshold × avg_atr), an extreme weight is applied. Otherwise, the weight is based on the squared ratio of ATR to average ATR, raised to the power of the atr_weight_factor.
Combined Weight: RSI and ATR weights are combined using a rsi_atr_balance parameter. Final weight = RSI weight × balance + ATR weight × (1 - balance).
WRAMA Calculation: The closing price is multiplied by the combined weight. The result is averaged over the ma_length period and divided by the average of the weights, forming the WRAMA line. For current WRAMA (ma_length = 1), the calculation simplifies to a single weighted price.
Additional Moving Averages:
For additional confirmations, the indicator supports up to five moving averages (MA1–MA5) with various types (SMA, EMA, WMA, HMA, ALMA) and customizable periods.
All additional MAs are calculated based on WRAMA or its baseline, ensuring consistency and enabling deeper analysis within a unified methodology. MA trend directions can be tracked in a built-in signal table.
Trading Signals:
Breakout Signals: Breakouts above/below the channel are optionally marked with triangle shapes (green for bullish, red for bearish).
MA Signals: Price position relative to MAs or their slope generates bullish/bearish signals. These are optionally visualized with default triangles (green up, red down).
A signal table in the top-right corner summarizes the status of each moving average – bullish, bearish, or neutral.
Customization Options
Channel Settings:
MA Period: Length of the WRAMA baseline (default: 100).
Channel Deviation : Percentage offset from the baseline for upper/lower bands (default: 1.5%).
RSI Settings:
RSI Period: Length of the RSI calculation (default: 14).
RSI Upper/Lower Threshold: Overbought/oversold levels (default: 70/30).
RSI Weight Factor: Influence of RSI on weighting (default: 2.0).
ATR Settings:
ATR Period: ATR calculation length (default: 14).
ATR Threshold: Volatility threshold as a multiple of average ATR (default: 1.5).
ATR Weight Factor: Influence of ATR on weighting (default: 2.0).
RSI & ATR Combined:
Extreme Weight: Weight applied in extreme RSI/ATR conditions (default: 3.0).
RSI/ATR Balance: Balance between RSI and ATR influence (default: 0.5).
Signal Settings:
Show Breakout Signals: Enable/disable breakout triangles.
Show MA Signals: Enable/disable MA-based signals.
MA Signal Source: Choose between current WRAMA or baseline.
MA Signal Analysis: Based on price position or slope.
Neutral Threshold : Minimum distance from MA for signal neutrality (default: 0.5%).
Minimum MA Slope : Minimum slope for trend direction signals (default: 0.01%).
Moving Averages (MA1–MA5):
Options to enable/disable, select type (SMA, EMA, WMA, HMA, ALMA), set period length, and choose color.
Style Settings:
Gradient Fill: Enable/disable gradient coloring within the channel.
Show Baseline: Enable/disable WRAMA baseline visibility.
Colors: Customize line, fill, and signal colors.
Use Cases
Trend Identification: The WRAMA channel highlights trend direction and potential reversal zones when price contacts the channel edges.
Breakout Signals: Channel breakouts may indicate trend shifts or momentum surges.
MA Analysis: The signal table provides a clear summary of market direction (bullish, bearish, or neutral) based on selected moving averages.
Trading Strategies: Suitable for trend-following, mean-reversion, and scalping strategies, depending on user preferences and settings.
Notes
The indicator offers a high degree of flexibility, making it adaptable to various trading styles, instruments, and timeframes.
It is recommended to adjust channel length and width to fit your trading strategy.
Backtesting settings on historical data is advised to optimize parameters for a specific strategy and market.
Dynamic Ray BandsAbout Dynamic Ray Bands
Dynamic Ray Bands is a volatility-adaptive envelope indicator that adjusts in real time to evolving market conditions. It uses a Double Exponential Moving Average (DEMA) as its central trend reference, with upper and lower bands scaled according to current volatility measured by the Average True Range (ATR).
This creates a dynamic structure that visually frames price action, helping traders identify areas of potential trend continuation, overextension, or mean reversion.
How It Works
🟡 Centerline (DEMA)
The central yellow line is a Double Exponential Moving Average, which offers a smoother, less laggy trend signal than traditional moving averages. It represents the market’s short- to medium-term “equilibrium.”
🔵 Outer Bands
Plotted at:
Upper Band = DEMA + (ATR × outerMultiplier)
Lower Band = DEMA - (ATR × outerMultiplier)
These bands define the extreme bounds of current volatility. When price breaks above or below them, it can signal strong directional momentum or overbought/oversold conditions, depending on context. They're often used as trend breakout zones or to time exits after extended runs.
🟣 Inner Bands
Plotted closer to the DEMA:
Inner Upper = DEMA + (ATR × innerMultiplier)
Inner Lower = DEMA - (ATR × innerMultiplier)
These are preliminary volatility thresholds, offering early cues for potential expansion or reversal. They may be used for scalping, tight stop zones, or pre-breakout positioning.
🔁 Dynamic Width (Bands are Dynamically Adjusted Per Tick)
The width of both inner and outer bands is based on ATR (Average True Range), which is recalculated in real time. This means:
During high volatility, the bands expand, allowing for wider price fluctuations.
During low volatility, the bands contract, tightening range expectations.
Unlike fixed-width channels or standard Bollinger Bands (which use standard deviation), this per-tick adjustment via ATR enables Dynamic Ray Bands to reduce false signals in choppy markets and remain more reactive during trending conditions.
⚙️ Inputs
DMA Length — Period for the central DEMA.
ATR Length — Lookback used for ATR volatility calculations.
Outer Band Multiplier — Controls sensitivity of extreme bands.
Inner Band Multiplier — Controls proximity of inner bands.
Show Inner Bands — Toggle for plotting the inner zone.
🔔 Alerts
Alert conditions are included for:
Price closing above/below the outer bands (trend momentum or overextension)
Price closing above/below the inner bands (early signs of strength/weakness)
🧭 Use Cases
Breakout detection — Catch price continuation beyond the outer bands.
Volatility filtering — Adjust trade logic based on band width.
Mean reversion — Monitor for snapbacks toward the DEMA after price stretches too far.
Trend guidance — Use band slope and price position to confirm direction.
⚠️ Disclaimer
This script is intended for educational and informational purposes only. It does not constitute financial advice or a recommendation to trade any specific market or security. Always test indicators thoroughly before using them in live trading.
Non-Lagging Longevity Zones [BigBeluga]🔵 OVERVIEW
A clean, non-lagging system for identifying price zones that persist over time—ranking them visually based on how long they survive without being invalidated.
Non-Lagging Longevity Zones uses non-lagging pivots to automatically build upper and lower zones that reflect key resistance and support. These zones are kept alive as long as price respects them and are instantly removed when invalidated. The indicator assigns a unique lifespan label to each zone in Days (D), Months (M), or Years (Y), providing instant context for historical relevance.
🔵 CONCEPTS
Non-Lag Pivot Detection: Detects upper and lower pivots using non-lagging swing identification (highest/lowest over length period).
h = ta.highest(len)
l = ta.lowest(len)
high_pivot = high == h and high < h
low_pivot = low == l and low > l
Longevity Ranking: Zones are preserved as long as price doesn't breach them. Levels that remain intact grow in visual intensity.
Time-Based Weighting: Each zone is labeled with its lifespan in days , emphasizing how long it has survived.
duration = last_bar_index - start
days_ = int(duration*(timeframe.in_seconds("")/60/60/24))
days = days_ >= 365 ? int(days_ / 365) : days_ >= 30 ? int(days_ / 30) : days_
marker = days_ >= 365 ? " Y" : days_ >= 30 ? " M" : " D"
Dynamic Coloring: Older zones are drawn with stronger fill, while newer ones appear fainter—making it easy to assess significance.
Self-Cleaning Logic: If price invalidates a zone, it’s instantly removed, keeping the chart clean and focused.
🔵 FEATURES
Upper and Lower Zones: Auto-detects valid high/low pivots and plots horizontal zones with ATR-based thickness.
Real-Time Validation: Zones are extended only if price stays outside them—giving precise control zones.
Gradient Fill Intensity: The longer a level survives, the more opaque the fill becomes.
Duration-Based Labeling: Time alive is shown at the root of each zone:
• D – short-term zones
• M – medium-term structure
• Y – long-term legacy levels
Smart Zone Clearing: Zones are deleted automatically once invalidated by price, keeping the display accurate.
Efficient Memory Handling: Keeps only the 10 most recent valid levels per side for optimal performance.
🔵 HOW TO USE
Track durable S/R zones that survived price tests without being breached.
Use longer-lived zones as high-confidence confluence areas for entries or targets.
Observe fill intensity to judge structural importance at a glance .
Layer with volume or momentum tools to confirm bounce or breakout probability.
Ideal for swing traders, structure-based traders, or macro analysis.
🔵 CONCLUSION
Non-Lagging Longevity Zones lets the market speak for itself—by spotlighting levels with proven survival over time. Whether you're trading trend continuation, mean reversion, or structure-based reversals, this tool equips you with an immediate read on what price zones truly matter—and how long they've stood the test of time.
MWA swing high & lowThis indicator identifies and connects significant swing highs and swing lows on the chart using customizable pivot-based logic. It creates a ZigZag-style structure that helps traders visually analyze price action, market structure, and trend direction.
🧠 Key Features:
Detects pivot highs and lows using left/right bar logic.
Plots a ZigZag line connecting swings for easy visual tracking.
Labels each swing as "Swing High" or "Swing Low".
Fully customizable settings: pivot sensitivity, label color/size, and line color.
📈 How to Use:
Use it to spot higher highs/lows or lower highs/lows in trending markets.
Identify structure shifts that may signal trend reversals.
Combine with support/resistance, Fibonacci, or other structure-based tools for confirmation.
Suitable for discretionary or rule-based strategies.
⚠️ Disclaimer:
This script is a visual analysis tool. It does not generate buy/sell signals and does not claim profitability. Past structure patterns do not guarantee future results.
Average Daily Range ADR by thSpecial for Amer and ATR testing and some text for description which I will add a little bit later because beatiful tv can't pass my indicator to be published
DIP BUYING by HAZEREAL BUY THE DIP - Educational Price Movement Indicator
This technical indicator is designed for educational purposes to help traders identify potential price reversal opportunities in equity markets, particularly focusing on NASDAQ-100 index tracking instruments and technology sector ETFs.
Key Features:
Monitors price movements relative to recent highs over customizable lookback periods
Identifies two distinct price decline thresholds: standard (5%+) and extreme (12.3%+)
Visual signals with triangular markers and background color zones
Real-time data table showing current metrics and status
Customizable alert system with webhook-ready JSON formatting
Clean overlay design that doesn't obstruct price action
How It Works:
The indicator tracks the highest price within a specified lookback period and calculates the percentage decline from that high. When price drops below the minimum threshold, it generates visual buy signals. The extreme threshold triggers enhanced alerts for more significant market movements.
Best Use Cases:
Educational analysis of market volatility patterns
Identifying potential support levels during market corrections
Studying historical price behavior around significant declines
Risk management and position sizing education
Important Note: This is a technical analysis tool for educational purposes only. All trading decisions should be based on comprehensive analysis and appropriate risk management. Past performance does not guarantee future results.
GANN Angles LevelsGANN Angles Levels - Mathematical Support & Resistance (45°, 90°, 180°, 360°)
GANN-based mathematical support/resistance levels using square root calculations and geometric angles. Provides 4 key GANN levels with customizable multipliers.
🎯 GANN ANGLES LEVELS (GAL)
This indicator calculates support and resistance levels using W.D. GANN's mathematical principles based on square roots and geometric angles.
✨ KEY FEATURES:
- 📐 4 GANN Geometric Angles: 45°, 90°, 180°, 360°
- 🔢 Manual Price Input for Base Level
- 📈 Bullish/Bearish Direction Selection
- ⚙️ Customizable Multipliers (0.5, 1, 1.5, 2, None)
- 📊 Optional Information Table
- 🎨 Color-coded Levels (Blue for input, Green/Red for calculated levels)
💡 HOW TO USE:
1. 🎯 **CRITICAL: Select a REAL high or low point** (significant peak or trough)
2. Set this high/low price manually as your base price
3. Choose direction:
• **Bullish** for support levels (from a major LOW)
• **Bearish** for resistance levels (from a major HIGH)
4. **Select multiplier based on timeframe:**
• 📈 **Higher timeframes (Daily, Weekly, Monthly):** Use larger multipliers (1.5, 2)
• ⚡ **Lower timeframes (1H, 4H, 15M, 5M):** Use smaller multipliers (0.5, 1) or None
• 🎯 **Scalping/Intraday:** Often use "None" for tighter levels
5. GANN levels will be calculated progressively using the time-tested formula
⚠️ **IMPORTANT NOTE:**
The accuracy of GANN levels depends heavily on selecting genuine market highs and lows. Use significant pivot points, not random price levels.
🎯 PERFECT FOR:
- GANN Analysis & Trading
- Mathematical Support/Resistance
- Price Target Setting
- Geometric Price Analysis
- Classical Technical Analysis
Based on W.D. GANN's time-tested mathematical principles for market analysis.
🔒 PROTECTED SCRIPT
This indicator is protected and the source code is not visible.
All rights reserved.
K Bands v2.2K Bands v2 - Settings Breakdown (Timeframe Agnostic)
K Bands v2 is an adaptive volatility envelope tool designed for flexibility across different trading
styles and timeframes.
The settings below allow complete control over how the bands are constructed, smoothed, and how
they respond to market volatility.
1. Upstream MA Type
Controls the core smoothing applied to price before calculating the bands.
Options:
- EMA: Fast, responsive, reacts quickly to price changes.
- SMA: Classic moving average, slower but provides stability.
- Hull: Ultra smooth, reduces noise significantly but may react differently to choppy conditions.
- GeoMean: Geometric mean smoothing, creates a unique, slightly smoother line.
- SMMA: Wilder-style smoothing, balances noise reduction and responsiveness.
- WMA: Weighted Moving Average, emphasizes recent price action for sharper responsiveness.
2. Smoothing Length
Lookback period for the upstream moving average.
- Lower values: Faster reaction, captures short-term shifts.
- Higher values: Smoother trend depiction, filters out noise.
3. Multiplier
Determines the width of the bands relative to calculated volatility.
- Lower multiplier: Tighter bands, more signals, but increased false breakouts.
- Higher multiplier: Wider bands, fewer false signals, more conservative.
4. Downstream MA Type
Applies final smoothing to the band plots after initial calculation.
Same options as Upstream MA.
5. Downstream Smoothing Length
Lookback period for downstream smoothing.
- Lower: More responsive bands.
- Higher: Smoother, visually cleaner bands.
6. Band Width Source
Selects the method used to calculate band width based on market volatility.
Options:
- ATR (Average True Range): Smooth, stable bands based on price range expansion.
- Stdev (Standard Deviation): More reactive bands highlighting short-term volatility spikes.
7. ATR Smoothing Type
Controls how the ATR or Stdev value is smoothed before applying to band width.
Options:
- Wilder: Classic, stable smoothing.
- SMA: Simple moving average smoothing.
- EMA: Faster, more reactive smoothing.
- Hull: Ultra-smooth, noise-reducing smoothing.
- GeoMean: Geometric mean smoothing.
8. ATR Length
Lookback period for smoothing the volatility measurement (ATR or Stdev).
- Lower: More reactive bands, captures quick shifts.
- Higher: Smoother, more stable bands.
9. Dynamic Multiplier Based on Volatility
Allows the band multiplier to adapt automatically to changes in market volatility.
- ON: Bands expand during high volatility and contract during low volatility.
- OFF: Bands remain fixed based on the set multiplier.
10. Dynamic Multiplier Sensitivity
Controls how aggressively the dynamic multiplier responds to volatility changes.
- Lower values: Subtle adjustments.
- Higher values: More aggressive band expansion/contraction.
K Bands v2 is designed to be adaptable across any market or timeframe, helping visualize price
structure, trend, and volatility behavior.
GX Credit Spread SignalThe GX Credit Spread Signal is an advanced indicator designed for traders who trade options strategies on the SPX index, especially using vertical credit spreads. It combines traditional technical analysis with volatility and option pricing concepts to provide relevant signals and projections on the chart.
Main features:
Trend analysis: Uses opening gap, position relative to VWAP and simple moving average (SMA 50) to indicate bullish or bearish bias right after the first 15-minute candle.
Safe range projection: Calculates a range based on the ATR (Average True Range) multiplied by a safety factor, suggesting potential strikes for credit spreads.
Quantitative estimates:
Calculates the estimated delta of options via the Black-Scholes formula approximation.
Estimated probability of expiring out of the money (OTM).
Chart visualizations: Displays projected ATR lines, previous day's levels (high, low, close) and an informative panel with strikes, delta, OTM probability, ATR and VWAP data.
Configurable alerts: Notifications for detected bullish or bearish bias, helping the trader to identify opportunities quickly.
This indicator is ideal for those who day trade with SPX options, facilitating decision-making by combining technical analysis, volatility and option probabilities in one place.
Repeating Trend HighlighterThis custom indicator helps you see when the current price trend is similar to a past trend over the same number of candles. Think of it like checking whether the market is repeating itself.
You choose three settings:
• Lookback Period: This is how many candles you want to measure. For example, if you set it to 10, it looks at the price change over the last 10 bars.
• Offset Bars Ago: This tells the indicator how far back in time to look for a similar move. If you set it to 50, it compares the current move to what happened 50 bars earlier.
• Tolerance (%): This is how closely the moves must match to be considered similar. A smaller number means you only get a signal if the moves are almost the same, while a larger number allows more flexibility.
When the current price move is close enough to the past move you picked, the background of your chart turns light green. This makes it easy to spot repeating trends without studying numbers manually.
You’ll also see two lines under your chart if you enable them: a blue line showing the percentage change of the current move and an orange line showing the change in the past move. These help you compare visually.
This tool is useful in several ways. You can use it to confirm your trading setups, for example if you suspect that a strong rally or pullback is happening again. You can also use it to filter trades by combining it with other indicators, so you only enter when trends repeat. Many traders use it as a learning tool, experimenting with different lookback periods and offsets to understand how often similar moves happen.
If you are a scalper working on short timeframes, you can set the lookback to a small number like 3–5 bars. Swing traders who prefer daily or weekly charts might use longer lookbacks like 20–30 bars.
Keep in mind that this indicator doesn’t guarantee price will move the same way again—it only shows similarity in how price changed over time. It works best when you use it together with other signals or market context.
In short, it’s like having a simple spotlight that tells you: “This move looks a lot like what happened before.” You can then decide if you want to act on that information.
If you’d like, I can help you tweak the settings or combine it with alerts so it notifies you when these patterns appear.
Volume MAs Oscillator | Lyro RSVolume MAs Oscillator | Lyro RS
Overview
The Volume MAs Oscillator is a powerful volume‑adjusted momentum tool that combines custom‑weighted moving averages on volume‑weighted price with smoothed deviation bands. It offers dynamic insights into trend direction, overbought/oversold conditions, and relative valuation — all within a single indicator
Key Features
Volume‑Adjusted Moving Averages: Moving averages can be volume‑weighted using the following formula: a moving average of (Price × Volume) divided by a moving average of Volume. This formula is applied across more than 14 different moving averages; however, it is not used with the VWMA, as VWMA is inherently a volume-weighted moving average.
Percentage Oscillator: Displays the normalized difference: (source – MA) / MA * 100, centered around zero for easy interpretation of strength and direction.
Deviation Bands: Builds upper and lower bands from standard deviation of the oscillator over a selected lookback, with distinct positive/negative multipliers and optional smoothing to reduce noise.
Inputs: Band Length, Band Smoothing, Positive Band Multiplier, Negative Band Multiplier.
Multi‑Mode Signal System:
1. Trend Mode – Colors oscillator according to breaks above (bullish) or below (bearish) respective bands.
2. Reversion Mode – Inverses color logic: signals overextensions beyond bands as reversion opportunities, greys inside the bands.
3. Valuation Mode – Applies a gradient color scale (UpC ⇄ DnC) to reflect relative valuation strength.
Customizable Visuals: Select from 5 pre‑set palettes—Classic, Mystic, Major Themes, Accented, Royal—or define your own custom bullish/bearish colors.
Chart enhancements include color‑coded oscillator line, deviation bands, glow‑effect midline at zero, background shading and candlestick/bar coloring aligned to signal mode.
Built‑In Signals: Automatically plots ▲ oversold and ▼ overbought markers upon crosses of lower/upper bands (in trend or reversion modes), enhancing signal clarity.
How It Works
MA Calculation – Applies the selected MA type to price × volume (normalized by MA of volume) or direct VWMA.
Oscillator Output – Calculates the % difference of source vs. derived MA.
Band Construction – Computes rolling standard deviation; applies user‑defined multipliers; smooths bands with exponential blending.
Mode-Dependent Coloring & Signals –
• Trend: Highlights strength trends via band cross coloring.
• Reversion: Flags extremes beyond bands as potential pullbacks.
• Valuation: Uses gradient to reflect oscillator’s position relative to recent range.
Signal Markers – Deploys arrows and color rules to flag overbought (▼) or oversold (▲) conditions when bands are breached.
Practical Use
Trend Confirmation – In Trend Mode, use upward price_diff cross above upper band as bullish; downward cross below lower band as bearish.
Mean Reversion – In Reversion Mode, fading extremes beyond bands may precede a retracement.
Relative Valuation – Valuation Mode shines when assessing how extended price_diff is, with gradient colors indicating valuation zones.
Bars/candles color‑coded to oscillator state boosts clarity of market tone and allows for rapid visual scanning.
Customization
Adjust MA type/length to tune responsiveness vs. smoothing.
Configure band settings for volatility sensitivity.
Toggle between signal modes for trend-following or reversion strategies.
Stylish visuals: pick or customize color schemes to match your chart setup.
⚠️Disclaimer
This indicator is a tool for technical analysis and does not provide guaranteed results. It should be used in conjunction with other analysis methods and proper risk management practices. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Trend Tracker ProTrend Tracker Pro - Advanced Trend Following Indicator
Overview
Trend Tracker Pro is a sophisticated trend-following indicator that combines the power of Exponential Moving Average (EMA) and Average True Range (ATR) to identify market trends and generate precise buy/sell signals. This indicator is designed to help traders capture trending moves while filtering out market noise.
🎯 Key Features
✅ Dynamic Trend Detection
Uses EMA and ATR-based bands to identify trend direction
Automatically adjusts to market volatility
Clear visual trend line that changes color based on market direction
✅ Precise Signal Generation
Buy signals when trend changes to bullish
Sell signals when trend changes to bearish
Reduces false signals by requiring actual trend changes
✅ Visual Clarity
Green trend line: Bullish trend
Red trend line: Bearish trend
Gray trend line: Sideways/neutral trend
Triangle arrows for buy/sell signals
Clear BUY/SELL text labels
✅ Customizable Settings
Trend Length: Adjustable period for EMA and ATR calculation (default: 14)
ATR Multiplier: Controls sensitivity of trend bands (default: 2.0)
Show/Hide Signals: Toggle signal arrows on/off
Show/Hide Labels: Toggle text labels on/off
✅ Built-in Information Panel
Real-time trend direction display
Current trend level value
ATR value for volatility reference
Last signal information
✅ TradingView Alerts
Buy signal alerts
Sell signal alerts
Customizable alert messages
🔧 How It Works
Algorithm Logic:
1.
Calculate EMA: Uses exponential moving average for trend baseline
2.
Calculate ATR: Measures market volatility
3.
Create Bands: Upper band = EMA + (ATR × Multiplier), Lower band = EMA - (ATR × Multiplier)
4.
Determine Trend:
Price above upper band → Bullish trend (trend line = lower band)
Price below lower band → Bearish trend (trend line = upper band)
Price between bands → Continue previous trend
5.
Generate Signals: Signal occurs when trend direction changes
📊 Best Use Cases
✅ Trending Markets
Excellent for capturing strong directional moves
Works well in both bull and bear markets
Ideal for swing trading and position trading
✅ Multiple Timeframes
Effective on all timeframes from 15 minutes to daily
Higher timeframes provide more reliable signals
Can be used for both scalping and long-term investing
✅ Various Asset Classes
Stocks, Forex, Cryptocurrencies, Commodities
Particularly effective in volatile markets
Adapts automatically to different volatility levels
⚙️ Recommended Settings
Conservative Trading (Lower Risk)
Trend Length: 20
ATR Multiplier: 2.5
Best for: Long-term positions, lower frequency signals
Balanced Trading (Default)
Trend Length: 14
ATR Multiplier: 2.0
Best for: Swing trading, moderate frequency signals
Aggressive Trading (Higher Risk)
Trend Length: 10
ATR Multiplier: 1.5
Best for: Day trading, higher frequency signals
🎨 Visual Elements
Trend Line: Main indicator line that follows the trend
Signal Arrows: Triangle shapes indicating buy/sell points
Text Labels: Clear "BUY" and "SELL" text markers
Information Table: Real-time status panel in top-right corner
Color Coding: Intuitive green/red color scheme
⚠️ Important Notes
Risk Management
Always use proper position sizing
Set stop-losses based on ATR values
Consider market conditions and volatility
Not recommended for ranging/sideways markets
Signal Confirmation
Consider using with other indicators for confirmation
Pay attention to volume and market structure
Be aware of major news events and market sessions
Backtesting Recommended
Test the indicator on historical data
Optimize parameters for your specific trading style
Consider transaction costs in your analysis
Traders AID / Adaptive Smoothing Line (use on 1-week TF)TradersAID – Adaptive Smoothing Line (use on 1-week TF)
1. Overview
TradersAID – Adaptive Smoothing Line is a trend-following overlay designed to bring structure to noisy markets — especially on the 1-week chart, where clarity is crucial.
Instead of using conventional moving averages, this tool applies a Kalman-inspired smoothing method that adapts to changing price behavior.
Originally used in fields like robotics and autonomous driving, this filtering concept helps track directional flow without overreacting to minor fluctuations — making it easier to identify sustained moves or exhaustion patterns.
2. What It Does
The line continuously adapts to current market conditions by filtering volatility and directional flow through an internal estimator logic.
Unlike laggy moving averages, it does not simply average past prices — it adjusts dynamically based on how price behaves.
Key behaviors include:
• Directional slope that reflects trend strength
• Increased sensitivity during acceleration phases
• Stabilized flattening during sideways periods
This makes the trend easier to follow without being distracted by short-term chop.
3. How to Use It
• Trend Interpretation:
Use the line’s angle to judge momentum. Steep slopes show conviction, while flattening may signal transition or fading strength.
• Support & Resistance Context:
During trending phases, the line often acts as dynamic support or resistance — especially when combined with other tools.
• Volatility Filtering:
In consolidation, the line becomes smoother, helping reduce noise and simplify your view of structure.
• Layering Tool:
Use it as a visual foundation beneath more reactive tools like TradersAID Warning Dots or Velocity Coloring to stay grounded in context.
4. Key Features
• Adaptive Behavior: Responds to both price and volatility
• Three Modes:
o Slow for structure clarity
o Regular for balanced responsiveness
o Fast for shorter-term context
• Overlay Design: Plots directly on price for seamless interpretation
• Minimalist Output: Clean, unobtrusive line — no clutter
5. Technical Basis (Why It’s Closed Source)
This tool uses a custom smoothing technique based on Kalman-inspired logic, tuned specifically for longer-term trend structure.
While not a full Kalman implementation, the core idea is drawn from systems that track state under uncertainty — offering stability without lagging behind price.
The algorithm adapts continuously to live market input, producing a smooth yet responsive curve that reflects trend direction and change in a visually intuitive way.
As this smoothing mechanism is not available in open-source scripts and is part of a broader proprietary system, the code remains closed to protect its originality and performance edge.
6. Settings
• Mode Selection: Fast / Regular / Slow
• Styling Controls: Color, line width, smoothing curve
• Frame Lock:
✅ This tool is designed to work exclusively on the 1-week timeframe.
7. Disclaimer
This script is for educational and informational purposes only. It does not provide financial advice or generate trading signals. Use with your own judgment and supporting tools.
TradersAID / Adaptive Smoothing Channel (use on 1W chart)TradersAID – Adaptive Smoothing Channel (use on 1-Week chart)
Overview
TradersAID – Adaptive Smoothing Channel is a two-line price overlay designed to help traders interpret trend structure and shifting momentum zones on the 1-week chart only.
Unlike traditional moving averages or fixed smoothing methods, this tool uses an adaptive approach inspired by Kalman filtering — a concept widely used in robotics and control systems to track signals in noisy environments. Applied to price, this allows the band to adapt to directional flow and volatility while filtering out distracting short-term fluctuations.
1.What It Does
This tool builds a dynamic corridor around price using:
• A faster line that follows near-term directional movement
• A slower line that anchors broader market structure
Together, they form a responsive band that:
• Tilts with trend direction (via slope)
• Expands or contracts with volatility
• Fills the space between to show directional rhythm
It’s especially useful for observing how price moves within sustained trends or compression zones, helping traders visually interpret market structure with more clarity.
2. How to Use It
• Trend Structure:
Follow the slope of the band to understand overall direction. A narrowing band may indicate consolidation; a widening band may reflect strong follow-through.
• Momentum Compression Zones:
Watch for tightening distance between the lines — this may signal the market is preparing for a structural transition or breakout.
• Clarity Layer:
Overlay this tool with others (e.g. TradersAID Warning Dots) to reduce noise and improve decision context.
3. Key Features
• Dual Adaptive Lines: One fast, one slow — capturing different time dynamics
• Shaded Fill Zone: Highlights directional bias and rhythm
• 3 Reaction Modes: Slow / Regular / Fast for different sensitivities
• Overlay Style: Plots directly on price
• Minimalist Layout: Clean visual language
4. Technical Basis (Why It’s Closed Source)
This tool is based on a custom smoothing logic inspired by Kalman filtering, adapted specifically for charting market structure.
While it does not replicate a full Kalman system, it borrows key principles: dynamically adjusting to noisy input while maintaining structural clarity.
The algorithm was developed internally to provide a visual layer that integrates into the broader TradersAID analysis system — offering something distinct from public indicators. Its behavior, flexibility, and integration were designed to serve advanced structural analysis, and as such, the script is closed to protect proprietary logic and intellectual property.
5. Settings
• Mode Selector: Fast / Regular / Slow
• Color Fill Toggle & Styling
• Frame Lock:
✅ This script is built to work exclusively on the 1-week timeframe.
6. Disclaimer
This tool is for educational and informational purposes only. It does not offer financial advice or generate trading signals. Always use with your own strategy and discretion.
ZLMA Keltner ChannelThe ZLMA Keltner Channel uses a Zero-Lag Moving Average (ZLMA) as the centerline with ATR-based bands to track trends and volatility.
The ZLMA’s reduced lag enhances responsiveness for breakouts and reversals, i.e. it's more sensitive to pivots and trend reversals.
Unlike Bollinger Bands, which use standard deviation and are more sensitive to price spikes, this uses ATR for smoother volatility measurement.
Background:
Built on John Ehlers’ lag-reduction techniques, this indicator adapts the classic Keltner Channel for dynamic markets. It excels in trending (low-entropy) markets for breakouts and range-bound (high-entropy) markets for reversals.
How to Read:
ZLMA (Blue): Tracks price trends. Above = bullish, below = bearish.
Upper Band (Green): ZLMA + (Multiplier × ATR). Cross above signals breakout or overbought.
Lower Band (Red): ZLMA - (Multiplier × ATR). Cross below signals breakout or oversold.
Channel Fill (Gray): Shows volatility. Narrow = low volatility, wide = high volatility.
Signals (Optional): Enable to show “Buy” (green) on upper band crossovers, “Sell” (red) on lower band crossunders.
Strategies: Trade breakouts in trending markets, reversals in ranges, or use bands as trailing stops.
Settings:
ZLMA Period (20): Adjusts centerline responsiveness.
ATR Period (20): Sets volatility period.
Multiplier (2.0): Controls band width.
If you are still confused between the ZLMA Keltner Channels and Bollinger Bands:
Keltner Channel (ZLMA): Uses ATR for bands, which smooths volatility and is less reactive to sudden price spikes. The ZLMA centerline reduces lag for faster trend detection.
Bollinger Bands: Uses standard deviation for bands, making them more sensitive to price volatility and prone to wider swings in high-entropy markets. Typically uses an SMA centerline, which lags more than ZLMA.
Faytterro Bands Breakout📌 Faytterro Bands Breakout 📌
This indicator was created as a strategy showcase for another script: Faytterro Bands
It’s meant to demonstrate a simple breakout strategy based on Faytterro Bands logic and includes performance tracking.
❓ What Is It?
This script is a visual breakout strategy based on a custom moving average and dynamic deviation bands, similar in concept to Bollinger Bands but with unique smoothing (centered regression) and performance features.
🔍 What Does It Do?
Detects breakouts above or below the Faytterro Band.
Plots visual trade entries and exits.
Labels each trade with percentage return.
Draws profit/loss lines for every trade.
Shows cumulative performance (compounded return).
Displays key metrics in the top-right corner:
Total Return
Win Rate
Total Trades
Number of Wins / Losses
🛠 How Does It Work?
Bullish Breakout: When price crosses above the upper band and stays above the midline.
Bearish Breakout: When price crosses below the lower band and stays below the midline.
Each trade is held until breakout invalidation, not a fixed TP/SL.
Trades are compounded, i.e., profits stack up realistically over time.
📈 Best Use Cases:
For traders who want to experiment with breakout strategies.
For visual learners who want to study past breakouts with performance metrics.
As a template to develop your own logic on top of Faytterro Bands.
⚠ Notes:
This is a strategy-like visual indicator, not an automated backtest.
It doesn't use strategy.* commands, so you can still use alerts and visuals.
You can tweak the logic to create your own backtest-ready strategy.
Unlike the original Faytterro Bands, this script does not repaint and is fully stable on closed candles.
IQ_Trader's Technical Scoring System With SignalsThe IQ Trader's Technical Scoring System is a sophisticated trading indicator designed to assist traders in identifying potential BUY and SELL opportunities using a dynamic scoring mechanism.
By combining traditional technical indicators (SMA, MACD) with a custom Adaptive Gaussian Moving Average (AGMA) and Bayesian trend probability analysis, this indicator provides a comprehensive view of market conditions. It generates multiple signal types to support various trading strategies, including main BUY/SELL signals, additional BUYS/SELLS signals, and STOP/STRONG STOP signals for risk management.
Key Features
Dynamic Scoring System:
The indicator calculates separate Buy and Sell scores based on multiple conditions, including:
Price position relative to daily SMA50 and SMA200.
Price position relative to the Adaptive Gaussian Moving Average (AGMA).
Bayesian trend analysis incorporating RSI, MACD, EMA, ATR, and volume zones.
MACD position and crossover/crossunder events.
Scores are displayed in a table, showing the contribution of each component (e.g., "Price > SMA50: 20") for transparency.
Signal Types:
Main BUY/SELL Signals:
Triggered when the Buy/Sell score falls within user-defined dynamic thresholds (adjustable for above/below SMA50 conditions).
Controlled by an inTrade state to prevent overlapping signals (BUY only when not in a trade, SELL only when in a trade).
Disabled by default; enable via settings ("Enable Main BUY Signals" and "Enable Main SELL Signals").
Additional BUYS/SELLS Signals:
Generated when the Buy score exceeds the Sell score (BUYS) or vice versa (SELLS).
Sequentially alternates (BUYS → SELLS → BUYS) to avoid repetitive signals, using an inBuysState mechanism.
Always enabled for quick trend insights.
STOP/STRONG STOP Signals:
STOP: Triggered when the price is above SMA50 and MACD crosses below the signal line in a lower timeframe.
STRONG STOP: Triggered when the price is above SMA50, MACD is below the signal line, and the price is below AGMA in a lower timeframe.
Disabled by default; enable via settings ("Enable STOP Signals" and "Enable STRONG STOP Signals").
Useful for risk management and exiting positions.
Visual and Customization Options:
Plots: Displays daily SMA50, SMA200, AGMA, MACD, and MACD Signal lines, all toggleable via settings.
Score Table: Shows real-time Buy and Sell score components at the top center of the chart.
Signal Markers:
Main BUY: Green label ("BUY") below the bar.
Main SELL: Red label ("SELL") above the bar.
BUYS: Lime triangle up ("BUYS") below the bar.
SELLS: Fuchsia triangle down ("SELLS") above the bar.
STOP: Orange triangle down ("STOP") above the bar.
STRONG STOP: Red triangle down ("STRONG") above the bar.
Settings: Highly customizable thresholds, enable/disable conditions, and plot visibility.
Alert Support:
Configurable alerts for all signal types (Dynamic BUY, Dynamic SELL, BUYS, SELLS, STOP, STRONG STOP).
Alerts are gated by enable settings for main BUY/SELL and STOP/STRONG STOP signals to prevent unwanted notifications.
How to Use
Add the Indicator:
Apply the indicator to your chart via TradingView’s Pine Editor or Indicator Library.
By default, only the additional BUYS/SELLS signals are active, along with SMA50/200, AGMA, and MACD plots.
Customize Settings:
Thresholds: Adjust buyThresholdLow, buyThresholdHigh, etc., to fine-tune the sensitivity of main BUY/SELL signals.
Enable Signals: Check "Enable Main BUY Signals", "Enable Main SELL Signals", "Enable STOP Signals", or "Enable STRONG STOP Signals" to activate these signals.
Toggle Plots: Use "Show Daily SMA50/200", "Show AGMA", and "Show MACD and Signal Line" to control chart visuals.
Score Conditions: Enable/disable individual score components (e.g., "Price Above Daily SMA50") to focus on specific indicators.
Interpret Signals:
Main BUY/SELL: Use for primary entry (BUY) and exit (SELL) decisions, ideal for swing or trend-following strategies.
BUYS/SELLS: Monitor for early trend changes or confirmation of momentum, suitable for shorter-term trades.
STOP/STRONG STOP: Consider as warnings to tighten stops or exit positions, especially in volatile markets.
Check the score table to understand which conditions are driving the signals.
Set Alerts:
Create alerts for desired signals (e.g., "Dynamic BUY Signal") via TradingView’s alert menu.
Ensure the corresponding signal is enabled in settings to receive alerts.
Notes for Traders
Timeframe Flexibility: The indicator adapts to different timeframes, with lower timeframe MACD and AGMA calculations for STOP signals. Test on your preferred timeframe (e.g., 1H, 4H, 1D).
Risk Management: Always combine signals with proper risk management, such as stop-loss orders, as STOP/STRONG STOP signals are not guaranteed exit points.
Backtesting: Before trading, backtest the indicator on historical data to evaluate performance with your strategy.
Customization: Adjust score weights (e.g., scoreSMA50AbovePrice) or Bayesian conditions to align with specific assets or market conditions.
Why This Indicator?
The IQ Trader's Technical Scoring System SS stands out for its blend of traditional and advanced analytics. The Bayesian trend analysis adds a probabilistic layer to decision-making, while the dynamic scoring system ensures signals are context-aware (above/below SMA50). Whether you're a swing trader, day trader, or risk-conscious investor, this indicator offers actionable insights with customizable controls.
Feedback Welcome: Share your experience or suggestions in the comments to help improve this tool for the TradingView community!
Leveraged Liquidation ZonesOVERVIEW
This indicator estimates potential liquidation zones based on leveraged positions (25x, 50x, 75x, 100x). It visually displays upper and lower bounds for each leverage tier, allowing traders to infer areas where the market might be seeking liquidity.
CONCEPTS
In leveraged markets, especially crypto derivatives, price often moves towards zones of high liquidation potential — areas where traders using high leverage are likely to be stopped out. These zones represent concentrations of liquidity that can serve as targets for price movement.
This script models simplified liquidation areas by calculating the price range within which positions using specific leverage levels would be at risk, assuming no maintenance margin and using the previous candle close as a reference.
FEATURES
Visual zones for 25x, 50x, 75x, and 100x leverage levels.
Customizable visibility and colors for each leverage tier.
Real-time zone calculation based on the previous candle close.
Simple and clean design to overlay directly on price action.
USAGE
Use this tool to identify areas of liquidity accumulation or potential price magnet zones. High-leverage liquidations often lead to volatile movements when triggered, so tracking these zones can help anticipate breakout or reversal behavior.
You can toggle individual leverage levels via the settings panel, and adjust color transparency to suit your chart theme. This tool is most effective when combined with volume spikes, order book analysis, or high-frequency behavior.
Volumatic Support/Resistance Levels [BigBeluga]🔵 OVERVIEW
A smart volume-powered tool for identifying key support and resistance zones—enhanced with real-time volume histogram fills and high-volume markers.
Volumatic Support/Resistance Levels detects structural levels from swing highs and lows, and wraps them in dynamic histograms that reflect the relative volume strength around those zones. It highlights the strongest price levels not just by structure—but by the weight of market participation.
🔵 CONCEPTS
Price Zones: Support and resistance levels are drawn from recent price pivots, while volume is used to visually enhance these zones with filled histograms and highlight moments of peak activity using markers.
Histogram Fill = Activity Zone: The width and intensity of each filled zone adjusts to recent volume bursts.
High-Volume Alerts: Circle markers highlight moments of volume dominance directly on the levels—revealing pressure points of support/resistance.
Clean Visual Encoding: Red = resistance zones, green = support zones, orange = high-volume bars.
🔵 FEATURES
Detects pivot-based resistance (highs) and support (lows) using a customizable range length.
Wraps these levels in volume-weighted bands that expand/contract based on percentile volume.
Color fill intensity increases with rising volume pressure, creating a live histogram feel.
When volume > user-defined threshold , the indicator adds circle markers at the top and bottom of that price level zone.
Bar coloring highlights the candles that generated this high-volume behavior (orange by default).
Adjustable settings for all thresholds and colors, so traders can dial in volume sensitivity.
🔵 HOW TO USE
Identify volume-confirmed resistance and support zones for potential reversal or breakout setups.
Focus on levels with intense histogram fill and circle markers —they indicate strong participation.
Use bar coloring to track when key activity started and align it with broader market context.
Works well in combination with order blocks, trend indicators, or liquidity zones.
Ideal for day traders, scalpers, and volume-sensitive setups.
🔵 CONCLUSION
Volumatic Support/Resistance Levels elevates traditional support and resistance logic by anchoring it in volume context. Instead of relying solely on price action, it gives traders insight into where real conviction lies—by mapping how aggressively the market defended or rejected key levels. It's a visual, reactive, and volume-conscious upgrade to your structural toolkit.
unprofitable stratThe indicator is a comprehensive trend-following indicator for TradingView. It's designed to identify and trade in the direction of the market's primary trend while using a dynamic, volatility-based system for exits. It filters out counter-trend noise and provides a clear visual dashboard of market conditions.
Core Trading Strategy
The indicator's logic is based on a two-part confirmation system to ensure trades are only taken in favorable conditions.
Master Trend Filter: The indicator first determines the "master trend" by checking if the price is above or below a long-term (200-period) Exponential Moving Average (EMA). It will only look for BUY signals when the price is above this EMA (in a master bullish trend) and only look for SELL signals when the price is below it. This prevents fighting the main market current.
Entry Trigger: Once the master trend is confirmed, the indicator doesn't enter immediately. It waits for a secondary confirmation: a breakout above a recent swing high (for a BUY) or a breakdown below a recent swing low. This ensures that short-term momentum has aligned with the long-term trend before a signal is generated.
Dynamic Exit Strategy
Exits are not based on a fixed target. Instead, the indicator uses a professional-grade ATR-based Trailing Stop Loss.
This "smart" stop loss automatically trails behind a profitable trade. It moves up to lock in gains during a BUY trade but never moves down.
The distance of the stop from the price is determined by the Average True Range (ATR), meaning it gives the trade more room to breathe in volatile markets and tightens up to protect profits in calm markets.
An "EXIT" signal appears on the chart when the price finally pulls back and hits this trailing stop line.
Visual Features on the Chart
The indicator provides several visual aids to make the trading process clear and intuitive.
Custom-Plotted Candles: The indicator draws its own candlesticks that are colored based on the trade status:
Blue: An active BUY trade is in progress.
Purple: An active SELL trade is in progress.
Gray: The indicator is flat with no active trade.
Signal Labels: Clear "BUY", "SELL", and "EXIT" labels are plotted directly on the chart at the moment they occur.
Trailing Stop Line: A bright orange line appears and follows the price during a trade, showing you the exact level of your trailing stop loss.
Multi-Timeframe Table: An optional dashboard in the top-right corner displays the master trend status ("Bullish" or "Bearish") on the 1m, 5m, 15m, 1-hour, and 4-hour timeframes simultaneously.
Trend Background: An optional feature allows you to color the entire chart background light blue or purple to match the master trend direction.
Dynamic Volatility Channel (DVC) - Smooth
The indicator's adaptability comes from a unique blend of well-known concepts:
The Adaptive Engine (ADX): The indicator uses the Average Directional Index (ADX) in the background to analyze the strength of the trend. This acts as the "brain", telling the channel whether the market is trending strongly or moving sideways.
Hybrid Volatility: This is the core of the indicator. The width of the channel is determined by a weighted mix of two volatility measures:
In trending markets (high ADX), the channel gives more weight to the Average True Range (ATR).
In ranging markets (low ADX), the channel gives more weight to Standard Deviation.
Smooth Centerline (HMA): The channel is centered around a Hull Moving Average (HMA), which is known for its smoothness and reduced lag compared to other moving averages.
Advanced Smoothing Layers: This version includes dedicated smoothing for both the volatility components (ATR and StDev) and the logic that switches between regimes. This ensures the channel expands, contracts, and adapts in a very fluid manner, eliminating sudden jumps and reducing market noise.
Mean Reversion: In ranging markets (indicated by a flatter channel), the outer bands can act as dynamic support and resistance levels. Look for opportunities to sell near the upper band and buy near the lower band, always waiting for price action confirmation like reversal candles.
Trend Following: In strong trends (indicated by a steeply sloped channel), the centerline (HMA) often serves as a dynamic level of support (in an uptrend) or resistance (in a downtrend). Pullbacks to the centerline can present opportunities to join the trend. A "band ride," where price action consistently pushes against the upper or lower band, signals a very strong trend.
Volatility Analysis: A "squeeze," where the bands come very close together, indicates low volatility and can foreshadow a significant price breakout. A sudden expansion of the bands signals an increase in volatility and the potential start of a new, powerful move.
All core parameters are fully customizable to suit your trading style and preferred assets:
You can adjust the lengths for the HMA, ATR, StDev, and the ADX filter.
You can change the multipliers for the ATR and Standard Deviation components.
Crucially, you can control the Volatility Smoothing Length and Logic Smoothing Length to find the perfect balance between responsiveness and smoothness.
Disclaimer: This indicator is provided for educational and analytical purposes only. It is not financial advice, and past performance is not indicative of future results. Always conduct your own research and backtesting before risking capital in a live market.
