Vector Candles [v6 Optimized + EMA]
Vector Candles represent an innovative technical analysis approach that transforms traditional candlestick charting by integrating volume dynamics, color-coded momentum, and multi-dimensional market insights. Unlike standard candlesticks that merely display price movement, Vector Candles encode additional market information through sophisticated color and volume algorithms.
Key Features:
-Dynamic Volume-Based Coloring: Candles change color based on trading volume intensity
-Volume Categories:
High Volume (Lime/Red): Significant market activity (200%+- Vol of Previous 10 Candles)
Above Average Volume (Blue/Fuchsia): Moderate market momentum (150%+- Vol of Previous 10 Candles).
Normal Volume (Gray Scales): Standard market conditions.
Stopping Volume Candles - Typically Pinbar/Doji candles. Stops volume in the current direction of delivery & can help forecast impending reversals or end to the current trend.
-Integrated EMA (Exponential Moving Average) Option:
-Customizable EMA Length (Default: 50 periods) (I use 33)
Configurable EMA Source (e.g., close price)
Optional EMA Overlay for Trend Confirmation
Indicators and strategies
FII SMART KEY LEVELSIntroducing the **Global Institutional Flow Indicator (GIFI)**—your all-in-one guide to the levels that matter most, powered by real-time foreign institutional activity. GIFI seamlessly adapts to any market—be it NSE and BSE equities, major cryptocurrencies, or the world’s most liquid forex pairs—so you never miss a beat.
Key Features:
Foreign Institutional Footprint
Tracks aggregated buy and sell volumes of FIIs (Foreign Institutional Investors) and equivalent large players across markets, highlighting where “smart money” is concentrating their capital.
* **Dynamic Support & Resistance Levels**
Automatically calculates high-conviction zones—zones where institutional orders have previously clustered—so you can pinpoint ultra-reliable levels for entries, exits, and stop placements.
* **Multi-Asset Compatibility**
One unified indicator that works out of the box on NSE and BSE stocks, top crypto tokens, and major FX crosses. No need to switch tools when you move between markets.
* **Trend-Aligned Signals**
Overlays institutional levels on your favorite trend filters—moving averages, ADX, or MACD—so you only trade in the direction that big players are committing.
* **Volume-Weighted Confirmation**
Confirms level-breaks and bounces with volume delta analysis, ensuring you’re following genuine institutional commitment rather than retail noise.
* **Adaptive Timeframes**
From 5-minute scalps to daily swing setups, GIFI adjusts its sensitivity so you capture the most meaningful levels on any timeframe.
**Why It Works:**
Foreign institutions often leave telltale footprints when they build or unwind positions at scale. GIFI decodes those footprints into actionable levels—revealing where the “smart money” is most willing to buy or sell. When price approaches one of these institutional zones, you gain:
* **Higher Probability Entries**
Enter trades alongside large-ticket players rather than against them.
* **Optimized Risk Management**
Place stops just beyond genuine institutional commitment zones, reducing the odds of false breakouts.
* **Clearer Exit Strategies**
Target profit levels where institutions are likely to take profits or enter fresh positions.
Whether you’re scalping Nifty futures, swing-trading mid-cap stocks, riding crypto trends, or trading EUR/USD, the Global Institutional Flow Indicator equips you with the insights you need to trade confidently—knowing you’re aligning with the forces that really move the markets.
Stoch Quad Oscillator📘 Stoch Quad Oscillator – User Guide
✅ Purpose
The Stoch Quad Oscillator is a multi-timeframe stochastic oscillator tool that helps traders detect oversold and overbought conditions, momentum shifts, and quad rotation signals using four distinct stochastic configurations. It includes visual cues, customizable parameters, and background highlights to improve decision-making during trend reversals or momentum surges.
🛠️ Inputs & Parameters
⏱ Timeframe
Timeframe for Stochastic Calculation: Defines which chart timeframe to use for stochastic calculations (default is "1" minute). This enables multi-timeframe analysis while on a lower timeframe chart.
📈 Stochastic Parameters
Four different stochastic configurations are used:
Label %K Length %D Smoothing Notes
K9 D3 9 3 Fastest, short-term view
K14 D3 14 3 Moderately short-term
K40 D4 40 4 Medium-term trend view
K60 D10 60 10 Long-term strength
Smoothing Type: Choose between SMA or EMA to control how smoothed the %D line is.
🎯 Levels
Overbought Level: Default 80
Oversold Level: Default 20
These are used to indicate overextended price conditions on any of the stochastic plots.
🔄 Quad Rotation Detection Settings
When enabled, the script detects synchronized oversold/overbought conditions with strong momentum using all 4 stochastic readings.
Enable Quad Rotation: Toggles detection on or off
Slope Calculation Bars: Number of bars used to calculate slope of %D lines
Slope Threshold: Minimum slope strength for signal (higher = stronger confirmation)
Oversold Quad Level: Total of all four stochastic values that define a quad oversold zone
Overbought Quad Level: Total of all four stochastic values that define a quad overbought zone
Oversold Quad Highlight Color: Background color when oversold quad is triggered
Overbought Quad Highlight Color: Background color when overbought quad is triggered
Slope Averaging Method: Either Simple Average or Weighted Average (puts more weight on higher timeframes)
Max Signal Bar Window: Defines how recent the signal must be to be considered valid
📊 Plots & Visual Elements
📉 Stochastic %D Lines
Each stochastic is plotted separately:
K9 D3 – Red
K14 D3 – Orange
K40 D4 – Fuchsia
K60 D10 – Silver
These help visualize short to long-term momentum simultaneously.
📏 Horizontal Reference Lines
Overbought Line (80) – Red
Oversold Line (20) – Green
These help you identify threshold breaches visually.
🌈 Background Highlighting
The indicator provides background highlights to mark potential signal zones:
✅ All Oversold or Overbought Conditions
When all four stochastics are either above overbought or below oversold:
Bright Red if all are overbought
Bright Green if all are oversold
🚨 Quad Rotation Signal Zones (if enabled)
Triggered when:
The combined sum of all four stochastic levels is extremely low/high (below/above oversoldQuadLevel or overboughtQuadLevel)
The average slope of the 4 %D lines is sharply positive (> slopeThreshold)
Highlights:
Custom Red Tint = Strong overbought quad signal
Custom Green Tint = Strong oversold quad signal
These zones can indicate momentum shifts or reversal potential when used with price action or other tools.
⚠️ Limitations & Considerations
This indicator does not provide trade signals. It visualizes conditions and potential setups.
It is best used in confluence with price action, support/resistance levels, and other indicators.
False positives may occur in ranging markets. Reduce reliance on slope thresholds during low volatility.
Quad signals rely on slope strength, which may lag slightly behind sudden reversals.
🧠 Tips for Use
Combine with volume, MACD, or PSAR to confirm direction before entry.
Watch for divergences between price and any of the stochastics.
Use on higher timeframes (e.g., 5m–30m) to filter for swing trading setups; use shorter TFs (1m–5m) for scalping signals.
Adjust oversoldQuadLevel and overboughtQuadLevel based on market conditions (e.g., in trending vs ranging markets).
Market Map – AK_Trades📌 Market Map – AK_Trades
A real-time context engine designed to enhance your entries, exits, and overall trade confidence.
Built to complement any scalping or breakout strategy — or function as a reliable standalone guide.
🧠 What It Does:
📊 Detects market structure shifts
📍 Draws clean Support/Resistance zones (non-repainting)
🟥 Displays trend background shading + trend label
🚨 Flags breakouts, reversals, and invalidations
📈 Adds a real-time confidence ribbon for quick decision-making
🧭 LEGEND
Element Description
🟩🟥 Background Color Trend direction based on 21/50 EMA (green = uptrend, red = downtrend)
🟥🟩 Dashed Lines Dynamic support (green) and resistance (red) from pivot highs/lows
🔼 BREAKOUT ↑ Triggered only if price breaks key level + 0.25 ATR and volume confirms
🔽 BREAKDOWN ↓ Triggered only on valid breakdown with volume and trend alignment
🟡 Triangle (Up/Down) Reversal Warning – candle closes against current trend & EMAs
❌ Orange X Invalidation Marker – price reversed after breakout within 2 bars
📉 Confidence Strip (Green/Red) Shows strength/weakness of each bar based on trend and EMA proximity
🔤 UPTREND / DOWNTREND Trend label shown top-right of chart
⚠️ Notes:
Use this for bias confirmation, clean visual structure, and exit management.
Best paired with a high-conviction entry signal.
❗Disclaimer:
This script is for educational purposes only. It is not financial advice. Use at your own risk. The author assumes no responsibility for any trading losses incurred.
Mirrored Buy/Sell Volume + Cumulative DeltaUser Guide: Mirrored Buy/Sell Volume (Histogram)
🔍 What It Does
Displays green bars above zero for estimated buy volume
Displays red bars below zero for estimated sell volume
Adds a blue line showing Cumulative Delta (buy − sell over time)
Optional threshold lines help spot when net momentum builds up
📊 How Volume is Estimated
Same estimation method as the table version:
Buy Volume is proportion of volume estimated using (close - low) / (high - low)
Sell Volume is remainder of the total volume
Cumulative Delta = running total of (Buy − Sell) volume
This gives you:
A real-time sense of which side is gradually gaining control
More context than looking at candles or volume bars alone
✅ Best For
Visual trade decision support: who’s winning the tug-of-war?
Spotting trend initiation or momentum shifts
Combining with oscillator/trend tools for confirmation
⚠️ Limitations
Still an approximation — not based on actual trade aggressor data
Cannot separate passive vs. aggressive orders
Cumulative Delta does not reset unless specifically coded to do so
May mislead if the bar has long wicks or closes near midpoint
High/Low Liquidation LevelsThe Visible High/Low Liquidation Levels indicator is designed to help traders better understand potential liquidation zones within a visible range on the chart. It does this by identifying dynamic high and low median price levels and plotting corresponding liquidation levels based on various leverage ratios.
This tool visually marks these critical zones, offering insight into areas where over-leveraged positions (such as x1, x2, x5, up to x100) are more likely to get liquidated, either above the recent low or below the recent high. This can support risk management and decision-making, especially in volatile markets.
Features:
Displays median high and low levels based on a configurable number of visible bars.
Plots liquidation levels above the low median and below the high median for multiple leverage tiers: x1, x2, x3, x5, x10, x25, x50, x75, x100.
Full customization over which leverage levels to show.
Color-coded lines for easy visual distinction.
Configurable bar range for calculating highs and lows separately.
Built-in legend table for clear reference to level color mappings.
Relative Performance Spread**Relative Performance Spread Indicator – Overview**
This indicator compares the **relative performance between two stocks** by normalizing their prices and calculating the **spread**, **area under the curve (AUC)**, or **normalized price ratio**.
### **How It Works**
* **Input**: Select a second stock (`ticker2`) and a moving average window.
* **Normalization**: Each stock is normalized by its own moving average → `norm = close / MA`.
* **Spread**: The difference `spread = norm1 - norm2` reflects which stock is outperforming.
* **AUC**: Cumulative spread over time shows prolonged dominance or underperformance.
* **Bounds**: Bollinger-style bands are drawn around the spread to assess deviation extremes.
### **Usage**
* **Plot Type Options**:
* `"Spread"`: Spot outperformance; crossing bands may signal rotation.
* `"AUC"`: Track long-term relative trend dominance.
* `"Normalized"`: Directly compare scaled price movements.
Use this tool for **pair trading**, **relative momentum**, or **rotation strategies**. It adapts well across assets with different price scales.
MTF Dashboard (Stoch,MACD,RSI) & Stochastic Signals
English Script Description:
Indicator Title: MTF Dashboard (Stoch,MACD,RSI) & Stochastic Signals
1. Overview
The "MTF Dashboard (Stoch,MACD,RSI) & Stochastic Signals" indicator is an advanced, multi-faceted analytical tool designed for comprehensive market analysis. It consolidates a detailed multi-timeframe (MTF) dashboard for Stochastic, MACD, and RSI, hierarchical Stochastic alignment signals (S3, S4, S5), PVSRA-based candle coloring, a customizable moving average, optional MA/VWAP filters for signals, and dynamic background coloring into a single, integrated Pine Script™ utility. This indicator aims to provide traders with a deeper market perspective by consolidating multiple layers of analysis onto the current chart.
2. Originality and Usefulness
This script’s originality stems from its comprehensive integration of several distinct analytical methodologies into a cohesive and highly customizable framework. While the core concept for the hierarchical Stochastic signals (S3-S5) was inspired by the work of f56eroon (ابو بتال - خطيرون), this indicator represents a significant original development by Saleh_ABO_RAED. Key original contributions include:
The specific implementation and extensive customization of the MTF dashboard displaying Stochastic, MACD, and RSI across five user-defined timeframes.
The seamless integration of PVSRA ( Volume) candle coloring, providing an immediate visual layer of volume confirmation.
The inclusion of a fully customizable general-purpose Moving Average.
The advanced and independent MA and VWAP filtering options for the S3-S5 Stochastic signals.
The overall script architecture that allows these diverse components to work synergistically.
Justification for Mashup:
This indicator is designed to provide a multi-dimensional view of the market, which is often necessary for robust trade decision-making. By combining:
MTF Analysis (Dashboard & Signals): To understand the broader context and identify signals aligning across multiple perspectives.
Momentum & Trend (Stoch, MACD, RSI, MA): To gauge the strength and direction of price movements.
Volume Analysis (PVSRA): To assess the conviction behind price action.
Signal Filtering (MA/VWAP): To enhance the reliability of generated signals.
This "mashup" is justified by its utility in helping traders identify higher-probability setups through the confluence of these varied analytical signals, all within a single tool, thus reducing chart clutter and streamlining the analytical process. The script is useful for traders who appreciate a detailed, layered approach to market analysis and seek to confirm signals from multiple non-correlated perspectives.
Practical Benefit for Traders:
This tool empowers traders to:
Quickly assess market conditions across multiple timeframes and key indicators.
Identify potential trade entries based on hierarchical Stochastic signals, confirmed by PVSRA and optional MA/VWAP filters.
Visually gauge market strength and conviction through PVSRA candle coloring.
Utilize a customizable MA for trend direction and dynamic support/resistance.
Make more informed decisions by considering a confluence of analytical factors.
3. Key Features
Multi-Timeframe Dashboard (Stochastic, MACD, RSI): Displays Stochastic (%K, %D, Status), MACD (Line, Signal, Status), and RSI (Value, SMA, Status) for up to five user-configurable timeframes (TF1 to TF5).
Hierarchical Stochastic Alignment Signals (S3, S4, S5): Generates signals based on a sequence of Stochastic confirmations across TF1-TF5, with user-defined K-level thresholds for initial crosses and subsequent confirmations.
PVSRA Candle Coloring: Integrates PVSRA logic to color candles based on volume and price action analysis (e.g., Bullish/Bearish 200% Volume, 150% Volume, Normal Volume candles). Option to override current symbol for PVSRA calculation.
Customizable Moving Average (MA): Plots a user-selectable MA (SMA or EMA) with configurable length, source, color, and width.
Dual Independent Optional Signal Filters (for S3-S5 signals):
MA Filter: Optionally filter S3-S5 signals using a separate configurable MA (SMA, EMA, WMA).
VWAP Filter: Optionally filter S3-S5 signals using VWAP with advanced anchoring options.
Customizable Background Coloring: Optionally colors the chart background when Stochastic indicators on TF3, TF4, and TF5 are in bullish or bearish alignment.
Extensive Customization: Configure all timeframes, all indicator parameters (Stoch, MACD, RSI, PVSRA colors, MA settings, VWAP settings), signal confirmation K-levels, table appearance, and alert conditions.
Alerts: Defines multiple alert conditions for S3, S4, and S5 Bullish/Bearish alignment signals, with alert messages indicating active filters.
4. How It Works
MTF Data & Dashboard: The script fetches and calculates Stochastic, MACD, and RSI data for each of the five user-defined timeframes using request.security with barmerge.lookahead_on to prevent future data leakage. This data populates the on-chart table.
PVSRA Candle Coloring: Analyzes each bar's volume and price range against historical averages (e.g., 10-period SMA of volume) to identify candles with significantly high volume (e.g., >=150% or >=200% of average) or high "value2" (volume * range), coloring them accordingly to denote strong buying or selling pressure.
Stochastic Signal Generation (S3-S5):
An initial Stochastic cross on TF1 (optionally filtered by K-level) serves as the trigger.
This cross is then confirmed sequentially by congruent Stochastic conditions (K above/below D, and K above/below user-defined confirmation levels) on TF2, TF3 (for an S3 signal), then TF4 (for S4), and finally TF5 (for S5).
MA & VWAP Signal Filtering: If enabled, generated S3-S5 signals are only plotted (and trigger alerts) if the price also satisfies the condition relative to the chosen MA (e.g., price > MA for longs) and/or VWAP. Both MA and VWAP lines can be plotted independently.
Background Coloring: Based on the consensus of Stochastic states (bullish/bearish) on TF3, TF4, and TF5.
5. How to Use
Configure Timeframes & Base Indicators: Set up your desired MTF levels (TF1-TF5) and the parameters for Stoch, MACD, and RSI via the script's "Settings/Inputs" dialogue.
Configure PVSRA & General MA: Enable/disable PVSRA candle coloring and the general MA plot; adjust their respective parameters (colors, lengths, types).
Set Stochastic Signal Parameters:
Adjust K-level thresholds for TF1 Stochastic crosses (set to 0 for bull/100 for bear to disable K-level entry filter).
Configure K-level confirmation thresholds for TF2-TF5.
Configure Optional MA/VWAP Signal Filters: Independently enable plotting and/or signal filtering for the MA and/or VWAP; choose their types, lengths, and anchor periods.
Interpret:
Dashboard: For an overview of market conditions.
PVSRA Candles: For volume confirmation of price movements.
S3-S5 Signals: As potential indications of strengthening multi-timeframe Stochastic alignment. The more filters a signal passes (MA, VWAP), the more confluent it might be considered.
MA/VWAP Lines: As dynamic support/resistance or trend indicators.
Background Color: For quick visual assessment of broader Stochastic momentum.
Setting Up Alerts: Add the indicator to your chart. Click the "Alert" button in TradingView, select this indicator under "Condition," and choose from the defined alert conditions (e.g., "Stoch TF3 Bullish Alignment"). Alert messages will indicate active filters.
6. Important Considerations / Disclaimer
This indicator provides analytical tools and potential signals; it is not a standalone trading system and does not guarantee profits.
Always use in conjunction with your trading strategy, risk management, and other analyses. Test thoroughly.
The effectiveness of filters and signals varies with market conditions and assets. Experimentation with settings is crucial.
This script is for educational/informational purposes only and is not financial advice. Trading involves substantial risk. The author, Saleh_ABO_RAED, is not responsible for any trading decisions based on this indicator.
7. Credits
The hierarchical Stochastic signal logic (S3-S5) and the initial strategic framework were inspired by the work of f56eroon (ابو بتال - خطيرون). This script, "MTF Dashboard (Stoch,MACD,RSI) & Stochastic Signals," represents an original development by Saleh_ABO_RAED, featuring the specific MTF dashboard implementation for Stochastic, MACD, and RSI, the integration of PVSRA candle coloring and a general Moving Average, advanced MA/VWAP signal filtering, background coloring, and the overall customizable script architecture.
Arabic Script Description (الوصف العربي للإسكريبت):
عنوان المؤشر: MTF Dashboard (Stoch,MACD,RSI) & Stochastic Signals
1. نظرة عامة
مؤشر "MTF Dashboard (Stoch,MACD,RSI) & Stochastic Signals" هو أداة تحليلية متقدمة ومتعددة الأوجه مصممة للتحليل الشامل للسوق. يدمج هذا المؤشر لوحة معلومات مفصلة متعددة الأطر الزمنية (MTF) لمؤشرات ستوكاستيك، الماكد (MACD)، ومؤشر القوة النسبية (RSI)، مع إشارات ستوكاستيك الهرمية التوافقية (S3, S4, S5)، وتلوين الشموع بناءً على PVSRA، ومتوسط متحرك قابل للتخصيص، وفلاتر اختيارية (MA و VWAP) للإشارات، وتلوين ديناميكي للخلفية، كل ذلك في أداة واحدة متكاملة مبرمجة بلغة Pine Script™. يهدف هذا المؤشر إلى تزويد المتداولين بمنظور أعمق للسوق من خلال دمج طبقات تحليل متعددة على الرسم البياني الحالي.
2. الأصالة والفائدة
تنبع أصالة هذا الإسكريبت من تكامله الشامل للعديد من المنهجيات التحليلية المتميزة ضمن إطار عمل متماسك وقابل للتخصيص بدرجة عالية. بينما المفهوم الأساسي لإشارات ستوكاستيك الهرمية (S3-S5) مستوحى من f56eroon (ابو بتال - خطيرون)، يمثل هذا المؤشر تطويراً أصيلاً وجوهرياً قام به Saleh_ABO_RAED. تشمل المساهمات الأصلية الرئيسية ما يلي:
التنفيذ المحدد والتخصيص الشامل للوحة معلومات MTF التي تعرض ستوكاستيك، الماكد، ومؤشر القوة النسبية عبر خمسة أطر زمنية يحددها المستخدم.
التكامل السلس لتلوين شموع PVSRA (، الحجم، )، مما يوفر طبقة تأكيد مرئية فورية للحجم.
إدراج متوسط متحرك عام قابل للتخصيص بالكامل.
خيارات التصفية المتقدمة والمستقلة باستخدام المتوسط المتحرك (MA) ومتوسط السعر المرجح بالحجم (VWAP) لإشارات ستوكاستيك S3-S5.
البنية البرمجية الشاملة التي تسمح لهذه المكونات المتنوعة بالعمل بشكل متآزر.
مبررات الدمج (Mashup Justification):
تم تصميم هذا المؤشر لتوفير رؤية متعددة الأبعاد للسوق، وهو أمر ضروري غالبًا لاتخاذ قرارات تداول قوية. من خلال الجمع بين:
تحليل MTF (لوحة المعلومات والإشارات): لفهم السياق الأوسع وتحديد الإشارات المتوافقة عبر وجهات نظر متعددة.
الزخم والاتجاه (ستوكاستيك، ماكد، RSI، المتوسط المتحرك): لقياس قوة واتجاه تحركات الأسعار.
تحليل الحجم (PVSRA): لتقييم قوة الاقتناع وراء حركة السعر.
تصفية الإشارات (MA/VWAP): لتعزيز موثوقية الإشارات المولدة.
هذا "الدمج" مبرر بفائدته في مساعدة المتداولين على تحديد إعدادات تداول ذات احتمالية أعلى من خلال التقاء هذه الإشارات التحليلية المتنوعة، كل ذلك ضمن أداة واحدة، مما يقلل من فوضى الرسم البياني ويبسط العملية التحليلية. الإسكريبت مفيد للمتداولين الذين يقدرون النهج التفصيلي متعدد الطبقات لتحليل السوق ويسعون لتأكيد الإشارات من وجهات نظر متعددة غير مترابطة.
الفائدة العملية للمتداولين:
تمكّن هذه الأداة المتداولين من:
تقييم ظروف السوق بسرعة عبر أطر زمنية متعددة ومؤشرات رئيسية.
تحديد إدخالات التداول المحتملة بناءً على إشارات ستوكاستيك الهرمية، المؤكدة بواسطة PVSRA وفلاتر MA/VWAP الاختيارية.
قياس قوة السوق والاقتناع بصريًا من خلال تلوين شموع PVSRA.
استخدام متوسط متحرك قابل للتخصيص لاتجاه الاتجاه والدعم والمقاومة الديناميكية.
اتخاذ قرارات أكثر استنارة من خلال النظر في التقاء العوامل التحليلية.
3. الميزات الرئيسية
لوحة معلومات متعددة الأطر الزمنية (ستوكاستيك، ماكد، RSI): تعرض قيم ستوكاستيك (K%, D%, الحالة)، الماكد (الخط، خط الإشارة، الحالة)، ومؤشر القوة النسبية (القيمة، المتوسط البسيط، الحالة) لما يصل إلى خمسة أطر زمنية قابلة للتخصيص (TF1 إلى TF5).
إشارات توافق ستوكاستيك الهرمية (S3, S4, S5): يتم إنشاء الإشارات بناءً على سلسلة من تأكيدات ستوكاستيك عبر الأطر TF1-TF5، مع عتبات مستوى K يحددها المستخدم للتقاطعات الأولية والتأكيدات اللاحقة.
تلوين شموع PVSRA: يدمج منطق PVSRA لتلوين الشموع بناءً على تحليل الحجم وحركة السعر (مثل شموع حجم صاعد/هابط 200%، حجم 150%، حجم عادي). خيار لتجاوز الرمز الحالي لحساب PVSRA.
متوسط متحرك قابل للتخصيص (MA): يرسم متوسطًا متحركًا (SMA أو EMA) يمكن للمستخدم اختياره مع طول ومصدر ولون وعرض قابل للتكوين.
فلتران اختياريان مستقلان للإشارات (لإشارات S3-S5):
فلتر MA: قم اختياريًا بتصفية إشارات S3-S5 باستخدام متوسط متحرك منفصل قابل للتكوين (SMA, EMA, WMA).
فلتر VWAP: قم اختياريًا بتصفية إشارات S3-S5 باستخدام VWAP مع خيارات إرساء متقدمة.
تلوين خلفية قابل للتخصيص: يقوم اختياريًا بتلوين خلفية الرسم البياني عندما تكون مؤشرات ستوكاستيك على الأطر TF3، TF4، و TF5 جميعها في توافق صاعد أو هابط.
تخصيص واسع النطاق: قم بتكوين جميع الأطر الزمنية، وجميع معلمات المؤشرات (ستوكاستيك، ماكد، RSI، ألوان PVSRA، إعدادات MA، إعدادات VWAP)، ومستويات تأكيد K للإشارات، ومظهر الجدول، وشروط التنبيه.
التنبيهات: يُعرّف المؤشر العديد من شروط التنبيه لتوافق إشارات S3 و S4 و S5 الصاعدة/الهابطة، مع إشارة رسائل التنبيه إلى الفلاتر النشطة.
4. كيف يعمل المؤشر
بيانات MTF ولوحة المعلومات: يقوم الإسكريبت بجلب وحساب بيانات ستوكاستيك، الماكد، و RSI لكل من الأطر الزمنية الخمسة التي يحددها المستخدم باستخدام request.security مع barmerge.lookahead_on لمنع تسرب البيانات المستقبلية. تملأ هذه البيانات الجدول على الرسم البياني.
تلوين شموع PVSRA: يحلل حجم كل شمعة ونطاق سعرها مقابل المتوسطات التاريخية (مثل متوسط متحرك بسيط لـ10 فترات للحجم) لتحديد الشموع ذات الحجم المرتفع بشكل كبير (مثل >=150% أو >=200% من المتوسط) أو "value2" مرتفعة (الحجم * النطاق)، وتلوينها وفقًا لذلك للدلالة على ضغط شراء أو بيع قوي.
توليد إشارات ستوكاستيك (S3-S5):
يعمل تقاطع ستوكاستيك أولي على TF1 (يمكن تصفيته اختياريًا بمستوى K) كمُشغِّل.
يتم بعد ذلك تأكيد هذا التقاطع بالتتابع بواسطة شروط ستوكاستيك متوافقة (K فوق/تحت D، و K فوق/تحت مستويات التأكيد المحددة من المستخدم) على TF2، ثم TF3 (لإشارة S3)، ثم TF4 (لـ S4)، وأخيرًا TF5 (لـ S5).
تصفية الإشارات بـ MA و VWAP: في حالة التمكين، لا يتم رسم إشارات S3-S5 المولدة (ولا تُطلق تنبيهات) إلا إذا كان السعر يستوفي أيضًا الشرط المتعلق بالمتوسط المتحرك المختار (مثال: السعر > MA للشراء) و/أو VWAP. يمكن رسم خطوط MA و VWAP بشكل مستقل.
تلوين الخلفية: بناءً على إجماع حالات ستوكاستيك (صاعدة/هابطة) على الأطر TF3، TF4، و TF5.
5. كيفية الاستخدام
تكوين الأطر الزمنية والمؤشرات الأساسية: قم بإعداد مستويات MTF المطلوبة (TF1-TF5) ومعلمات ستوكاستيك، الماكد، و RSI عبر مربع حوار "الإعدادات/المدخلات" الخاص بالإسكريبت.
تكوين PVSRA و MA العام: قم بتمكين/تعطيل تلوين شموع PVSRA ورسم المتوسط المتحرك العام؛ اضبط معلمات كل منهما (الألوان، الأطوال، الأنواع).
ضبط معلمات إشارة ستوكاستيك:
عدّل عتبات مستوى K لتقاطعات ستوكاستيك TF1 (اضبط على 0 للصاعد/100 للهابط لتعطيل فلتر دخول مستوى K).
قم بتكوين عتبات تأكيد مستوى K لـ TF2-TF5.
تكوين فلاتر MA/VWAP الاختيارية للإشارات: قم بتمكين الرسم و/أو تصفية الإشارات بشكل مستقل لـ MA و/أو VWAP؛ اختر أنواعها وأطوالها وفترات الإرساء.
التفسير:
لوحة المعلومات: للحصول على نظرة عامة على ظروف السوق.
شموع PVSRA: لقياس قوة الاقتناع وراء تحركات الأسعار.
إشارات S3-S5: كمؤشرات محتملة لتوافق ستوكاستيك متعدد الأطر يزداد قوة. كلما زاد عدد الفلاتر التي تجتازها الإشارة (MA, VWAP)، كلما أمكن اعتبارها أكثر قوة.
خطوط MA/VWAP: كدعم/مقاومة ديناميكية أو مؤشرات اتجاه.
لون الخلفية: لتقييم بصري سريع لزخم ستوكاستيك الأوسع.
إعداد التنبيهات: أضف المؤشر إلى الرسم البياني. انقر فوق زر "تنبيه" في TradingView، واختر هذا المؤشر ضمن "الشرط"، ثم اختر من شروط التنبيه المحددة (مثل "Stoch TF3 Bullish Alignment"). ستشير رسائل التنبيه إلى الفلاتر النشطة.
6. اعتبارات هامة / إخلاء مسؤولية
يوفر هذا المؤشر أدوات تحليلية وإشارات محتملة؛ إنه ليس نظام تداول قائم بذاته ولا يضمن الأرباح.
استخدمه دائمًا بالاقتران مع استراتيجية التداول الخاصة بك، إدارة المخاطر، والتحليلات الأخرى. اختبره جيدًا.
تختلف فعالية الفلاتر والإشارات باختلاف ظروف السوق والأصول. التجربة مع الإعدادات أمر بالغ الأهمية.
هذا الإسكريبت مخصص للأغراض التعليمية/المعلوماتية فقط وليس نصيحة مالية. ينطوي التداول على مخاطر كبيرة. المؤلف، Saleh_ABO_RAED، غير مسؤول عن أي قرارات تداول بناءً على هذا المؤشر.
7. الحقوق والتقدير
منطق إشارات ستوكاستيك الهرمية (S3-S5) والإطار الاستراتيجي الأولي مستوحيان من عمل f56eroon (ابو بتال - خطيرون). هذا الإسكريبت، "MTF Dashboard (Stoch,MACD,RSI) & Stochastic Signals"، يمثل تطويراً أصيلاً قام به Saleh_ABO_RAED، ويتميز بالتنفيذ المحدد للوحة معلومات MTF لمؤشرات ستوكاستيك، الماكد، و RSI، ودمج تلوين شموع PVSRA والمتوسط المتحرك العام، والتصفية المتقدمة للإشارات باستخدام MA/VWAP، وتلوين الخلفية، والبنية البرمجية الشاملة القابلة للتخصيص.
BW MFI fixed v6Bill Williams MFI
Sure! Here’s an English description of the indicator you have:
---
### Bill Williams Market Facilitation Index (MFI) — Indicator Description
This indicator implements the **Market Facilitation Index (MFI)** as introduced by Bill Williams. The MFI measures the market's willingness to move the price by comparing the price range to the volume.
---
### How it works:
* **MFI Calculation:**
The MFI is calculated as the difference between the current bar’s high and low prices divided by the volume of that bar:
$$
\text{MFI} = \frac{\text{High} - \text{Low}}{\text{Volume}}
$$
* **Color Coding Logic:**
The indicator compares the current MFI and volume values to their previous values and assigns colors to visualize market conditions according to Bill Williams’ methodology:
| Color | Condition | Market Interpretation |
| ----------- | ------------------ | --------------------------------------------------------------------------------------------- |
| **Green** | MFI ↑ and Volume ↑ | Strong trend continuation or acceleration (increased price movement supported by volume) |
| **Brown** | MFI ↓ and Volume ↓ | Trend weakening or possible pause (both price movement and volume are decreasing) |
| **Blue** | MFI ↑ and Volume ↓ | Possible false breakout or lack of conviction (price moves but volume decreases) |
| **Fuchsia** | MFI ↓ and Volume ↑ | Market indecision or battle between bulls and bears (volume rises but price movement shrinks) |
| **Gray** | None of the above | Neutral or unchanged market condition |
* **Display:**
The indicator plots the MFI values as colored columns on a separate pane below the price chart, providing a visual cue of the market’s behavior.
---
### Purpose:
This tool helps traders identify changes in market momentum and the strength behind price moves, providing insight into when trends might accelerate, weaken, or potentially reverse.
---
If you want, I can help you write a more detailed user guide or trading strategy based on this indicator!
Uptrick: Asset Rotation SystemOverview
The Uptrick: Asset Rotation System is a high-level performance-based crypto rotation tool. It evaluates the normalized strength of selected assets and dynamically simulates capital rotation into the strongest asset while optionally sidestepping into cash when performance drops. Built to deliver an intelligent, low-noise view of where capital should move, this system is ideal for traders focused on strength-driven allocation without relying on standard technical indicators.
Purpose
The purpose of this tool is to identify outperforming assets based strictly on relative price behavior and automatically simulate how a portfolio would evolve if it consistently moved into the strongest performer. By doing so, it gives users a realistic and dynamic model for capital optimization, making it especially suitable during trending markets and major crypto cycles. Additionally, it includes an optional safety fallback mechanism into cash to preserve capital during risk-off conditions.
Originality
This system stands out due to its strict use of normalized performance as the only basis for decision-making. No RSI, no MACD, no trend oscillators. It does not rely on any traditional indicator logic. The rotation logic depends purely on how each asset is performing over a user-defined lookback period. There is a single optional moving average filter, but this is used internally for refinement, not for entry or exit logic. The system’s intelligence lies in its minimalism and precision — using normalized asset scores to continuously rotate capital with clarity and consistency.
Inputs
General
Normalization Length: Defines how many bars are used to calculate each asset’s normalized score. This score is used to compare asset performance.
Visuals: Selects between Equity Curve (show strategy growth over time) or Asset Performance (compare asset strength visually).
Detect after bar close: Ensures changes only happen after a candle closes (for safety), or allows bar-by-bar updates for quicker reactions.
Moving Average
Used internally for optional signal filtering.
MA Type: Lets you choose which moving average type to use (EMA, SMA, WMA, RMA, SMMA, TEMA, DEMA, LSMA, EWMA, SWMA).
MA Length: Sets how many bars the moving average should calculate over.
Use MA Filter: Turns the filter on or off. It doesn’t affect the signal directly — just adds a layer of control.
Backtest
Used to simulate equity tracking from a chosen starting point. All calculations begin from the selected start date. Prior data is ignored for equity tracking, allowing users to isolate specific market cycles or testing periods.
Starting Day / Month / Year: The exact day the strategy starts tracking equity.
Initial Capital $: The amount of simulated starting capital used for performance calculation.
Rotation Assets
Each asset has 3 controls:
Enable: Include or exclude this asset from the rotation engine.
Symbol: The ticker for the asset (e.g., BINANCE:BTCUSDT).
Color: The color for visualization (labels, plots, tables).
Assets supported by default:
BTC, ETH, SOL, XRP, BNB, NEAR, PEPE, ADA, BRETT, SUI
Cash Rotation
Normalization Threshold USDC: If all assets fall below this threshold, the system rotates into cash.
Symbol & Color: Sets the cash color for plots and tables.
Customization
Dynamic Label Colors: Makes labels change color to match the current asset.
Enable Asset Label: Plots asset name labels on the chart.
Asset Table Position: Choose where the key asset usage table appears.
Performance Table Position: Choose where the backtest performance table appears.
Enable Realism: Enables slippage and fee simulation for realistic equity tracking. Adjusted profit is shown in the performance table.
Equity Styling
Show Equity Curve (STYLING): Toggles an extra-thick visual equity curve.
Background Color: Adds a soft background color that matches the current asset.
Features
Dual Visualization Modes
The script offers two powerful modes for real-time visual insights:
Equity Curve Mode: Simulates the growth of a portfolio over time using dynamic asset rotation. It visually tracks capital as it moves between outperforming assets, showing compounded returns and the current allocation through both line plots and background color.
Asset Performance Mode: Displays the normalized performance of all selected assets over the chosen lookback period. This mode is ideal for comparing relative strength and seeing how different coins perform in real-time against one another, regardless of price level.
Multi-Asset Rotation Logic
You can choose up to 10 unique assets, each fully customizable by symbol and color. This allows full flexibility for different strategies — whether you're rotating across majors like BTC, ETH, and SOL, or including meme tokens and stablecoins. You decide the rotation universe. If none of the selected assets meet the strength threshold, the system automatically moves to cash as a protective fallback.
Key Asset Selection Table
This on-screen table displays how frequently each enabled asset was selected as the top performer. It updates in real time and can help traders understand which assets the system has historically favored.
Asset Name: Shortened for readability
Color Box: Visual color representing the asset
% Used: How often the asset was selected (as a percentage of strategy runtime)
This table gives clear insight into historical rotation behavior and asset dominance over time.
Performance Comparison Table
This second table shows a full backtest vs. chart comparison, broken down into key performance metrics:
Backtest Start Date
Chart Asset Return (%) – The performance of the asset you’re currently viewing
System Return (%) – The equity growth of the rotation strategy
Outperformed By – Shows how many times the system beat the chart (e.g., 2.1x)
Slippage – Estimated total slippage costs over the strategy
Fees – Estimated trading fees based on rotation activity
Total Switches – Number of times the system changed assets
Adjusted Profit (%) – Final net return after subtracting fees and slippage
Equity Curve Styling
To enhance visual clarity and aesthetics, the equity curve includes styling options:
Custom Thickness Curve: A second stylized line plots a shadow or highlight of the main equity curve for stronger visual feedback
Dynamic Background Coloring: The chart background changes color to match the currently held asset, giving instant visual context
Realism Mode
By enabling Realism, the system calculates estimated:
Trading Fees (default 0.1%)
Slippage (default 0.05%)
These costs are subtracted from the equity curve in real time, and shown in the table to produce an Adjusted Return metric — giving users a more honest and execution-aware picture of system performance.
Adaptive Labeling System
Each time the asset changes, an on-chart label updates to show:
Current Asset
Live Equity Value
These labels dynamically adjust in color and visibility depending on the asset being held and your styling preferences.
Full Customization
From visual position settings to table placements and custom asset color coding, the entire system is fully modular. You can move tables around the screen, toggle background visuals, and control whether labels are colored dynamically or uniformly.
Key Concepts
Normalized values represent how much an asset has changed relative to its past price over a fixed period, allowing performance comparisons across different assets. Outperforming refers to the asset with the highest normalized value at a given time. Cash fallback means the system moves into a stable asset like USDC when no strong performers are available. The equity curve is a running total of simulated capital over time. Slippage is the small price difference between expected and actual trade execution due to market movement.
Use Case Flexibility
You don’t need to use all 10 assets. The system works just as effectively with only 1 asset — such as rotating between CASH and SOL — for a simple, minimal strategy. This is ideal for more focused portfolios or thematic rotation systems.
How to Use the Indicator
To use the Uptrick: Asset Rotation System, start by selecting which assets to include and entering their symbols (e.g., BINANCE:BTCUSDT). Choose between Equity Curve mode to see simulated portfolio growth, or Asset Performance mode to compare asset strength. Set your lookback period, backtest start date, and optionally enable the moving average filter or realism settings for slippage and fees. The system will then automatically rotate into the strongest asset, or into cash if no asset meets the strength threshold. Use alerts to be notified when a rotation occurs.
Asset Switch Alerts
The script includes built-in alert conditions for when the system rotates into a new asset. You can enable these to be notified when the system reallocates to a different coin or to cash. Each alert message is labeled by target asset and can be used for automation or monitoring purposes.
Conclusion
The Uptrick: Asset Rotation System is a next-generation rotation engine designed to cut through noise and overcomplication. It gives users direct insight into capital strength, without relying on generic indicators. Whether used to track a broad basket or focus on just two assets, it is built for accuracy, adaptability, and transparency — all in real-time.
Disclaimer
This script is for research and educational purposes only. It is not intended as financial advice. Past performance is not a guarantee of future results. Always consult with a financial professional and evaluate risks before trading or investing.
FxAST RSI Enhanced Plus [ALLDYN]
## 🟩 FxAST RSI Enhanced — Smoothed RSI Momentum with Dynamic Confluence Table
### 🔹 WHAT THIS SCRIPT DOES
This RSI enhancement script builds upon the classic Relative Strength Index by integrating:
* A **dual-layer EMA smoothing system** for RSI, allowing traders to observe fast vs. slow RSI movements
* **Real-time crossover signals** to detect early momentum shifts
* **Buy/Sell label plotting** when smoothed RSI crosses over/under with configurable thresholds
* An **optional smoothing toggle** to switch between swing and intraday trading styles
### 🔹 HOW IT WORKS
* RSI is calculated using a classic `rma` approach
* The script applies two separate EMAs (configurable lengths) to the RSI, serving as fast/slow signal lines
* Buy/Sell signals are generated when:
* The fast EMA crosses above the slow EMA (Buy) and RSI is above 40
* The fast EMA crosses below the slow EMA (Sell) and RSI is below 60
* RSI line, smoothed EMAs, and their fill are plotted for visual confirmation
**Original Feature** *(highlighting IP for protection)*:
A **confluence table** dynamically summarizes:
* The RSI fast/slow values
* The % delta between the smoothed EMAs
* A **directional bias reading** : Bullish, Bearish, or Neutral based on RSI behavior
* All values are color-coded and updated in real time to assist in fast market assessment
This table replaces cluttered on-chart signals with a **clean, structured summary** of RSI state and direction — ideal for both scalpers and swing traders.
### 🔹 HOW TO USE
1. Add the script to your chart (non-overlay).
2. Configure RSI/EMA lengths for your strategy (default: RSI 14, Fast EMA 3, Slow EMA 13).
3. Toggle “Smooth RSI?”:
* `ON` = For swing traders (smoother, slower signals)
* `OFF` = For intraday/momentum scalping (raw signals)
4. Use the **Buy/Sell labels** and **bias table** as confirmation tools, not sole entry triggers.
5. Alerts are available for both Buy and Sell crossover conditions.
### 🔹 WHAT MAKES IT ORIGINAL
While traditional RSI indicators only show the raw line or apply basic levels (30/70), this script offers:
* A **modular RSI smoothing engine** that adapts to swing or intraday preferences
* A **dual-EMA logic structure** for signal reliability
* A **real-time RSI bias assessment table**, designed to visualize RSI-based trend bias and magnitude
* The entire presentation is **decluttered** , avoiding redundant overlays while improving decision-making through the integrated data table
This script does not simply restyle RSI — it **restructures how RSI behavior is interpreted** , offering an objective confluence framework built around RSI’s smoothed motion and delta tracking.
---
OrderFlow Sentiment SwiftEdgeOrderFlow Sentiment SwiftEdge
Overview
OrderFlow Sentiment SwiftEdge is a visual indicator designed to help traders analyze market dynamics through a simulated orderbook and market sentiment display. It breaks down the current candlestick into 10 price bins, estimating buy and sell volumes, and presents this data in an orderbook table alongside a sentiment row showing the buy vs. sell bias. This tool provides a quick and intuitive way to assess orderflow activity and market sentiment directly on your chart.
How It Works
The indicator consists of two main components: an Orderbook Table and a Market Sentiment Row.
Orderbook Table:
Simulates buy and sell volumes for the current candlestick by distributing total volume into 10 price bins based on price movement and proximity to open/close levels.
Displays the price bins in a table with columns for Price, Buy Volume, and Sell Volume, sorted from highest to lowest price.
Highlights the current price level in orange for easy identification, while buy and sell dominance is indicated with green (buy) or red (sell) backgrounds.
Market Sentiment Row:
Calculates the overall buy and sell sentiment (as a percentage) for the current candlestick based on the simulated orderflow data.
Displays the sentiment above the orderbook table, with the background colored green if buyers dominate or red if sellers dominate.
Features
Customizable Colors: Choose colors for buy (default: green), sell (default: red), and current price (default: orange) levels.
Lot Scaling Factor: Adjust the volume scaling factor (default: 0.1 lots per volume unit) to simulate realistic lot sizes.
Table Position: Select the table position on the chart (Top, Middle, or Bottom; default: Middle).
Default Properties
Positive Color: Green
Negative Color: Red
Current Price Color: Orange
Lot Scaling Factor: 0.1
Table Position: Middle
Usage
This indicator is ideal for traders who want to visualize orderflow dynamics and market sentiment in real-time. The orderbook table provides a snapshot of buy and sell activity at different price levels within the current candlestick, helping you identify areas of high buying or selling pressure. The sentiment row offers a quick overview of market bias, allowing you to gauge whether buyers or sellers are currently dominating. Use this information to complement your trading decisions, such as identifying potential breakout levels or confirming trend direction.
Limitations
This indicator simulates orderflow data based on candlestick price movement and volume, as TradingView does not provide tick-by-tick data. The volume distribution is an approximation and should be used as a visual aid rather than a definitive measure of market activity.
The indicator operates on the chart's current timeframe and does not incorporate higher timeframe data.
The simulated volumes are scaled using a user-defined lot scaling factor, which may not reflect actual market lot sizes.
Disclaimer
This indicator is for informational purposes only and does not guarantee trading results. Always conduct your own analysis and manage risk appropriately. The simulated orderflow data is an estimation and may not reflect real market conditions.
Liquidity Grab Strategy (Volume Trap)🧠 Strategy Logic:
Liquidity Grab Detection:
The script looks for a sharp drop in price (bearish engulfing or breakdown candle).
However, volume remains flat (within 5% of the 20-period moving average), suggesting the move is manipulated, not genuine.
Fair Value Gap Confirmation (FVG):
It confirms that a Fair Value Gap exists — a gap between recent candle bodies that price is likely to retrace into.
This gap represents a high-probability entry zone.
Trade Setup:
A limit BUY order is placed at the base of the FVG.
Stop Loss (SL) is placed below the gap.
Take Profit (TP) is placed at the most recent swing high.
📈 How to Use It:
Add the strategy to your TradingView chart (1–5 min or 15 min works well for intraday setups).
Look for green BUY labels and plotted lines:
💚 Green = Entry price
🔴 Red = Stop loss
🔵 Blue = Take profit
The script will automatically simulate entries when conditions are met and exit either at TP or SL.
Use TradingView’s Strategy Tester to review:
Win rate
Net profit
Risk-adjusted performance
Enhanced Cycle IndicatorEnhanced Cycle Indicator Guide
DISCLAIMER
"This PineScript indicator evolved from a foundational algorithm designed to visualize cycle-based center average differentials. The original concept has been significantly enhanced and optimized through collaborative refinement with AI, resulting in improved functionality, performance, and visualization capabilities while maintaining the core mathematical principles of the original design"
Overview
The Enhanced Cycle Indicator is designed to identify market cycles with minimal lag while ensuring the cycle lows and highs correspond closely with actual price bottoms and tops. This indicator transforms price data into observable cycles that help you identify when a market is likely to change direction.
Core Principles
Cycle Detection: Identifies natural market rhythms using multiple timeframes
Dynamic Adaptation: Adjusts to changing market conditions for consistent performance
Precise Signals: Provides clear entry and exit points aligned with actual market turns
Reduced Lag: Uses advanced calculations to minimize delay in cycle identification
How To Use
1. Main Cycle Interpretation
Green Histogram Bars: Bullish cycle phase (upward momentum)
Red Histogram Bars: Bearish cycle phase (downward momentum)
Cycle Extremes: When the histogram reaches extreme values (+80/-80), the market is likely approaching a turning point
Zero Line: Crossovers often indicate a shift in the underlying market direction
2. Trading Signals
Green Triangle Up (bottom of chart): Strong bullish signal - ideal for entries or covering shorts
Red Triangle Down (top of chart): Strong bearish signal - ideal for exits or short entries
Diamond Shapes: Indicate divergence between price and cycle - early warning of potential reversals
Small Circles: Minor cycle turning points - useful for fine-tuning entries/exits
3. Optimal Signal Conditions
Bullish Signals Work Best When:
The cycle is deeply oversold (below -60)
RSI is below 40 or turning up
Price is near a significant low
Multiple confirmation bars have occurred
Bearish Signals Work Best When:
The cycle is heavily overbought (above +60)
RSI is above 60 or turning down
Price is near a significant high
Multiple confirmation bars have occurred
4. Parameter Adjustments
For Shorter Timeframes: Reduce cycle periods and smoothing factor for faster response
For Daily/Weekly Charts: Increase cycle periods and smoothing for smoother signals
For Volatile Markets: Reduce cycle responsiveness to filter noise
For Trending Markets: Increase signal confirmation requirement to avoid false signals
Recommended Settings
Default (All-Purpose)
Main Cycle: 50
Half Cycle: 25
Quarter Cycle: 12
Smoothing Factor: 0.5
RSI Filter: Enabled
Signal Confirmation: 2 bars
Faster Response (Day Trading)
Main Cycle: 30
Half Cycle: 15
Quarter Cycle: 8
Smoothing Factor: 0.3
Cycle Responsiveness: 1.2
Signal Confirmation: 1 bar
Smoother Signals (Swing Trading)
Main Cycle: 80
Half Cycle: 40
Quarter Cycle: 20
Smoothing Factor: 0.7
Cycle Responsiveness: 0.8
Signal Confirmation: 3 bars
Advanced Features
Adaptive Period
When enabled, the indicator automatically adjusts cycle periods based on recent price volatility. This is particularly useful in markets that alternate between trending and ranging behaviors.
Momentum Filter
Enhances cycle signals by incorporating price momentum, making signals more responsive during strong trends and less prone to whipsaws during consolidations.
RSI Filter
Adds an additional confirmation layer using RSI, helping to filter out lower-quality signals and improve overall accuracy.
Divergence Detection
Identifies situations where price makes a new high/low but the cycle doesn't confirm, often preceding significant market reversals.
Best Practices
Use the indicator in conjunction with support/resistance levels
Look for signal clusters across multiple timeframes
Reduce position size when signals appear far from cycle extremes
Pay special attention to signals that coincide with divergences
Customize cycle periods to match the natural rhythm of your traded instrument
Troubleshooting
Too Many Signals: Increase signal confirmation bars or reduce cycle responsiveness
Missing Major Turns: Decrease smoothing factor or increase cycle responsiveness
Signals Too Late: Decrease cycle periods and smoothing factor
False Signals: Enable RSI filter and increase signal confirmation requirement
Trend Revisit Pullback Strategy (Final Working Box)📈 Trend Revisit Pullback Strategy
This TradingView Pine Script strategy identifies strong trend breakouts and accounts for natural pullbacks by:
Entering long or short on strong 1-bar breakouts
Allowing for pullback averaging if price retraces after entry
Expecting a revisit to the original entry price within 15 bars
Automatically exiting at break-even or using a custom TP/SL
Drawing a visual trade zone (entry → SL → revisit window) for easy reference
Optional labels and color-coded boxes to track each trade’s lifecycle
Ideal for trend traders who anticipate a pullback and prefer to manage risk with break-even exits or reward-to-risk parameters.
Dot On Plan | Economic Cycle Analysis v2.4This closed-source script applies a structured macroeconomic model to classify economic regimes in real time, using inter-asset ratios and yield spreads. It helps traders and analysts interpret broader market conditions—such as expansion, stagflation, deflation, or supply shocks—through well-established market proxies.
🔍 Core Metrics and Logic
The script tracks the following macro indicators:
- **Copper/Oil Ratio**: A proxy for industrial activity vs. energy costs (Copper futures ÷ Oil futures). A rising ratio signals growth optimism; a falling ratio suggests weakening demand.
- **TIPS Spread (Breakeven Inflation)**: The difference between 10Y Treasury yields and 10Y TIPS yields, reflecting inflation expectations. A high spread indicates inflationary pressure.
- **Gold/Oil Ratio**: Measures market stress (Gold futures ÷ Oil futures). A rising ratio often appears in disinflationary or crisis environments.
- **Copper/Gold Ratio**: A "growth vs. safety" indicator. Rising indicates risk-on confidence; falling suggests risk aversion.
Each ratio is smoothed with a moving average to identify trends, evaluating direction and momentum. Trend strength is assessed using a short-term slope and a statistical threshold to detect persistence.
🧭 Economic Regime Classification
The script combines these metrics to identify 17 distinct economic states, such as:
- Typical Expansion: Indicates strong growth and inflation expectations with low safe-haven demand.
- Stagflation Risk: Reflects cost-push inflation with weak growth and high safe-haven demand.
- Supply Shock Conditions: Signals rising inflation and uncertainty, often due to geopolitical events.
Regime classification is based on the interaction of these metrics and their positioning relative to long-term trends. The specific weighting and logic are proprietary, ensuring a unique approach.
📊 Features
- Live macro regime status table with trend updates and economic implications.
- Visual plots of key ratios and optional moving averages.
- Customizable alerts for key regimes (e.g., stagflation onset, expansion reentry).
- Full customization for MA periods, ratio thresholds, TIPS threshold, and table update frequency.
📈 How to Use
- Apply on daily or weekly charts for stable macro signals (adjustable via "Data Timeframe" input).
- Customize thresholds and MA periods to match your market view.
- Use regime outputs to guide allocation (e.g., cyclical assets in expansion, defensive assets in stagflation).
⚠️ Disclaimer
This script is for informational and educational purposes only and does not constitute financial or investment advice. Past performance is not indicative of future results. Always conduct your own research and consult a qualified financial advisor before trading. The underlying calculation logic is proprietary and not disclosed in full.
Canuck Trading IndicatorOverview
The Canuck Trading Indicator is a versatile, overlay-based technical analysis tool designed to assist traders in identifying potential trading opportunities across various timeframes and market conditions. By combining multiple technical indicators—such as RSI, Bollinger Bands, EMAs, VWAP, MACD, Stochastic RSI, ADX, HMA, and candlestick patterns—the indicator provides clear visual signals for bullish and bearish entries, breakouts, long-term trends, and options strategies like cash-secured puts, straddles/strangles, iron condors, and short squeezes. It also incorporates 20-day and 200-day SMAs to detect Golden/Death Crosses and price positioning relative to these moving averages. A dynamic table displays key metrics, and customizable alerts help traders stay informed of market conditions.
Key Features
Multi-Timeframe Adaptability: Automatically adjusts parameters (e.g., ATR multiplier, ADX period, HMA length) based on the chart's timeframe (minute, hourly, daily, weekly, monthly) for optimal performance.
Comprehensive Signal Generation: Identifies short-term entries, breakouts, long-term bullish trends, and options strategies using a combination of momentum, trend, volatility, and candlestick patterns.
Candlestick Pattern Detection: Recognizes bullish/bearish engulfing, hammer, shooting star, doji, and strong candles for precise entry/exit signals.
Moving Average Analysis: Plots 20-day and 200-day SMAs, detects Golden/Death Crosses, and evaluates price position relative to these averages.
Dynamic Table: Displays real-time metrics, including zone status (bullish, bearish, neutral), RSI, MACD, Stochastic RSI, short/long-term trends, candlestick patterns, ADX, ROC, VWAP slope, and MA positioning.
Customizable Alerts: Over 20 alert conditions for entries, exits, overbought/oversold warnings, and MA crosses, with actionable messages including ticker, price, and suggested strategies.
Visual Clarity: Uses distinct shapes, colors, and sizes to plot signals (e.g., green triangles for bullish entries, red triangles for bearish entries) and overlays key levels like EMA, VWAP, Bollinger Bands, support/resistance, and HMA.
Options Strategy Signals: Suggests opportunities for selling cash-secured puts, straddles/strangles, iron condors, and capitalizing on short squeezes.
How to Use
Add to Chart: Apply the indicator to any TradingView chart by selecting "Canuck Trading Indicator" from the Pine Script library.
Interpret Signals:
Bullish Signals: Green triangles (short-term entry), lime diamonds (breakout), blue circles (long-term entry).
Bearish Signals: Red triangles (short-term entry), maroon diamonds (breakout).
Options Strategies: Purple squares (cash-secured puts), yellow circles (straddles/strangles), orange crosses (iron condors), white arrows (short squeezes).
Exits: X-cross shapes in corresponding colors indicate exit signals.
Monitor: Gray circles suggest holding cash or monitoring for setups.
Review Table: Check the top-right table for real-time metrics, including zone status, RSI, MACD, trends, and MA positioning.
Set Alerts: Configure alerts for specific signals (e.g., "Short-Term Bullish Entry" or "Golden Cross") to receive notifications via TradingView.
Adjust Inputs: Customize input parameters (e.g., RSI period, EMA length, ATR period) to suit your trading style or market conditions.
Input Parameters
The indicator offers a wide range of customizable inputs to fine-tune its behavior:
RSI Period (default: 14): Length for RSI calculation.
RSI Bullish Low/High (default: 35/70): RSI thresholds for bullish signals.
RSI Bearish High (default: 65): RSI threshold for bearish signals.
EMA Period (default: 15): Main EMA length (15 for day trading, 50 for swing).
Short/Long EMA Length (default: 3/20): For momentum oscillator.
T3 Smoothing Length (default: 5): Smooths momentum signals.
Long-Term EMA/RSI Length (default: 20/15): For long-term trend analysis.
Support/Resistance Lookback (default: 5): Periods for support/resistance levels.
MACD Fast/Slow/Signal (default: 12/26/9): MACD parameters.
Bollinger Bands Period/StdDev (default: 15/2): BB settings.
Stochastic RSI Period/Smoothing (default: 14/3/3): Stochastic RSI settings.
Uptrend/Short-Term/Long-Term Lookback (default: 2/2/5): Candles for trend detection.
ATR Period (default: 14): For volatility and price targets.
VWAP Sensitivity (default: 0.1%): Threshold for VWAP-based signals.
Volume Oscillator Period (default: 14): For volume surge detection.
Pattern Detection Threshold (default: 0.3%): Sensitivity for candlestick patterns.
ROC Period (default: 3): Rate of change for momentum.
VWAP Slope Period (default: 5): For VWAP trend analysis.
TradingView Publishing Compliance
Originality: The Canuck Trading Indicator is an original script, combining multiple technical indicators and custom logic to provide unique trading signals. It does not replicate existing public scripts.
No Guaranteed Profits: This indicator is a tool for technical analysis and does not guarantee profits. Trading involves risks, and users should conduct their own research and risk management.
Clear Instructions: The description and usage guide are detailed and accessible, ensuring users understand how to apply the indicator effectively.
No External Dependencies: The script uses only built-in Pine Script functions (e.g., ta.rsi, ta.ema, ta.vwap) and requires no external libraries or data sources.
Performance: The script is optimized for performance, using efficient calculations and adaptive parameters to minimize lag on various timeframes.
Visual Clarity: Signals are plotted with distinct shapes and colors, and the table provides a concise summary of market conditions, enhancing usability.
Limitations and Risks
Market Conditions: The indicator may generate false signals in choppy or low-liquidity markets. Always confirm signals with additional analysis.
Timeframe Sensitivity: Performance varies by timeframe; test settings on your preferred chart (e.g., 5-minute for day trading, daily for swing trading).
Risk Management: Use stop-losses and position sizing to manage risk, as suggested in alert messages (e.g., "Stop -20%").
Options Trading: Options strategies (e.g., straddles, iron condors) carry unique risks; consult a financial advisor before trading.
Feedback and Support
For questions, suggestions, or bug reports, please leave a comment on the TradingView script page or contact the author via TradingView. Your feedback helps improve the indicator for the community.
Disclaimer
The Canuck Trading Indicator is provided for educational and informational purposes only. It is not financial advice. Trading involves significant risks, and past performance is not indicative of future results. Always perform your own due diligence and consult a qualified financial advisor before making trading decisions.
Asia Session Reversal Strategy GOLD (Full Version)📈 Asia Session Reversal Strategy (Gold/XAUUSD)
This indicator identifies high-probability reversal trades during the second hour of the Asia session (01:00–02:00 UTC) based on 30-minute candle bias. It:
Detects initial directional push and signals reversal trades on the 1-minute chart
Plots entry, stop-loss, and take-profit levels using a 3:1 reward-to-risk ratio
Includes real-time PnL tracking, daily auto-reset, and alert notifications for BUY/SELL setups
Ideal for scalpers and intraday traders focusing on Gold during consistent, high-liquidity session windows.
LGMM (flat buffers) — multivariate poly + latent statesLGMM POLYNOMIAL BANDS — DISCOVER THE MARKET’S HIDDEN STATES
Overview
Latent-Gaussian-Mixture-Models (LGMMs) view price action as a mix of several invisible regimes: trending up, drifting sideways, sudden volatility spikes, and so on.
A Gaussian Mixture learns these states directly from data and outputs, for every bar, the probability that the market is in each state.
This indicator feeds those probabilities into a rolling polynomial regression that draws a fair-value line, then builds adaptive upper and lower bands.
Band width expands when recent residuals are large *and* when the state mix is uncertain, and contracts when price is calm or one regime clearly dominates.
Crossing back into the band from below generates a buy flag; crossing back into the band from above generates a sell flag (or take-profit for longs).
Key Inputs
Price source – default is Close; you can choose HL2, OHLC4, etc.
Training window (bars) – look-back length for every retrain. 252 bars (one trading year) is a balanced default for US stocks on daily timeframe. Use fewer bars for intraday charts (say 7*24=168 for 1H bars on crypto), more for weekly periods.
Polynomial degree – 1 for a straight trend line, 2 for a curved fit. Curved fits are better when the symbol shows persistent drift.
Hidden states K – number of regimes the mixture tracks (1 to 3). Three states often map well to up-trend, chop, down-trend.
Band width ×σ – multiplier on the entropy-weighted standard deviation. Smaller values (1.5-2) give more trades; larger values (2.5-3) give fewer, higher-conviction trades.
Offline μ,σ pairs (optional) – paste component means and sigmas from an offline LGMM (format: mu1,sigma1;mu2,sigma2;…). Leave blank to let the script use its built-in approximation.
Quick Start
Add the indicator to a chart and wait until the initial Training window has filled.
Watch for green BUY triangles when price closes back above the lower band and red SELL triangles when price closes back below the upper band.
Fine-tune:
– Increase Training window to reduce noise.
– Decrease Band width ×σ for more frequent signals.
– Experiment with Hidden states K; more states capture richer behaviour but need longer windows to stay reliable.
Tips
Bands widen automatically in chaotic periods and tighten when one regime dominates.
Combine with a volume filter or a higher-time-frame trend to reduce whipsaws.
If you already run an LGMM in Python or Matlab, paste its component parameters for a perfect match between your back-test and the TradingView plot.
Works on all markets and time-frames, provided you have at least five times the Training window’s bars in history.
Happy trading!
Combo RSI + MACD + ADX MTF (Avec Alertes)✅ Recommended Title:
Multi-Signal Oscillator: ADX Trend + DI + RSI + MACD (MTF, Cross Alerts)
✅ Detailed Description
📝 Overview
This indicator combines advanced technical analysis tools to identify trend direction, capture reversals, and filter false signals.
It includes:
ADX (Multi-TimeFrame) for trend and trend strength detection.
DI+ / DI- for directional bias.
RSI + ZLSMA for oscillation analysis and divergence detection.
Zero-Lag Normalized MACD for momentum and entry timing.
⚙️ Visual Components
✅ Green/Red Background: Displays overall trend based on Multi-TimeFrame ADX.
✅ DI+ / DI- Lines: Green and red curves showing directional bias.
✅ Normalized RSI: Blue oscillator with orange ZLSMA smoothing.
✅ Zero-Lag MACD: Violet or fuchsia/orange oscillator depending on the version.
✅ Crossover Points: Colored circles marking buy and sell signals.
✅ ADX Strength Dots: Small black dots when ADX exceeds the strength threshold.
🚨 Included Alert System
✅ RSI / ZLSMA Crossovers (Buy / Sell).
✅ MACD / Signal Line Crossovers (Buy / Sell).
✅ DI+ / DI- Crossovers (Buy / Sell).
✅ Double Confirmation DI+ / RSI or DI+ / MACD.
✅ Double Confirmation DI- / RSI or DI- / MACD.
✅ Trend Change Alerts via Background Color.
✅ ADX Strength Alerts (Above Threshold).
🛠️ Suggested Configuration Examples
1. Short-Term Reversal Detection:
RSI Length: 7 to 14
ZLSMA Length: 7 to 14
MACD Fast/Slow: 5 / 13
ADX MTF Period: 5 to 15
ADX Threshold: 15 to 20
2. Long-Term Trend Following:
RSI Length: 21 to 30
ZLSMA Length: 21 to 30
MACD Fast/Slow: 12 / 26
ADX MTF Period: 30 to 50
ADX Threshold: 20 to 25
3. Scalping / Day Trading:
RSI Length: 5 to 9
ZLSMA Length: 5 to 9
MACD Fast/Slow: 3 / 7
ADX MTF Period: 5 to 10
ADX Threshold: 10 to 15
🎯 Why Use This Tool?
Filters false signals using ADX-based background coloring.
Provides multi-source alerting (RSI, MACD, ADX).
Helps identify true market strength zones.
Works on all markets: Forex, Crypto, Stocks, Indices.
[blackcat] L2 Multi-Level Price Condition TrackerOVERVIEW
The L2 Multi-Level Price Condition Tracker represents an innovative approach to analyzing financial markets by simultaneously monitoring multiple price levels, thus providing traders with a holistic view of market dynamics. By combining dynamic calculations based on moving averages and price deviations, this tool aims to deliver precise and actionable insights into potential entry and exit points. It leverages sophisticated statistical measures to identify key thresholds that signify shifts in market sentiment, thereby aiding traders in making well-informed decisions. 🎯
Key benefits encompass:
• Comprehensive calculation of midpoints and average prices indicating short-term trend directions.
• Interactive visualization elements enhancing interpretability effortlessly.
• Real-time generation of buy/sell signals driven by precise condition evaluations.
TECHNICAL ANALYSIS COMPONENTS
📉 Midpoint Calculations:
Computes central reference points derived from high-low ranges establishing baseline supports/resistances.
Utilizes Simple Moving Averages (SMAs) along with standardized deviation formulas smoothing out volatility while preserving long-term trends accurately.
Facilitates identification of directional biases reflecting underlying market forces dynamically.
🕵️♂️ Advanced Price Level Detection:
Derives upper/lower bounds adjusting sensitivities adaptively responding to changing conditions flexibly.
Employs proprietary logic distinguishing between bullish/bearish sentiments promptly signaling transitions effectively.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy robustly.
🎥 Dynamic Signal Generation:
Detects crossovers indicating dominance shifts between buyers/sellers promptly triggering timely alerts.
Integrates conditional logic reinforcing signal validity minimizing erroneous activations systematically.
Supports adaptive thresholds tuning sensitivities based on evolving market conditions flexibly accommodating varying scenarios.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Utilizes moving averages alongside standardized deviation formulas generating precise net volume measurements.
Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent alignment with established statistical principles preserving fidelity.
🖱️ User Interface Elements:
Dedicated plots displaying real-time midpoint markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively highlighting key activations clearly.
Background shading emphasizing proximity to crucial threshold activations enhancing visibility focusing attention on vital signals promptly.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals assessing concurrent market sentiment factors.
Validate entry decisions considering alignment between calculated midpoints and broader trend directions ensuring coherence.
Monitor cumulative breaches signifying potential trend reversals executing partial/total closes contingent upon predetermined loss limits preserving capital efficiently.
🚫 Exit Mechanisms:
Trigger exits upon hitting predefined thresholds derived from historical analyses promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement implementing corrective actions iteratively enhancing performance metrics steadily.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Lookback Period: Governs responsiveness versus stability balancing sensitivity/stability governing moving averages aligning with preferred granularity.
Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately tailoring strategies accordingly.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts evaluating adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity sustaining balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches preserving capital efficiently.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines managing exposures prudently.
Mandatorily apply trailing stop-loss orders conforming to script outputs enforcing discipline rigorously preventing adverse consequences.
Allocate positions proportionately relative to available capital reserves conducting periodic reviews gauging effectiveness continuously identifying improvement opportunities steadily.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously preparing contingency plans proactively mitigating risks effectively.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically implementing corrective actions reliably.
Prepare proactive responses amid adverse movements ensuring seamless functionality amidst fluctuating conditions fortifying resilience against anomalies robustly.
PERFORMANCE MONITORING METRICS
🔍 Evaluation Criteria:
Assess win percentages consistently across diverse trading instruments gauging reliability measuring profitability efficiency accurately evaluating downside risks comprehensively uncovering systematic biases potentially skewing outcomes.
Calculate average profit ratios per successful execution benchmarking actual vs expected performances documenting results meticulously tracking progress dynamically addressing identified shortcomings proactively fostering continuous improvements.
📈 Historical Data Analysis Tools:
Maintain detailed logs capturing every triggered event recording realized profits/losses comparing simulated projections accurately identifying discrepancies warranting investigation implementing iterative refinements steadily enhancing performance metrics progressively.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily addressing identified shortcomings proactively fostering continuous enhancements dynamically improving robustness resiliently.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes enhancing signal integrity excluding low-liquidity assets prone to erratic movements effectively.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities introducing buffer intervals safeguarding major news/event impacts mitigating distortions seamlessly verifying reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably.
💡 Effective Resolution Pathways:
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently recalibrating parameters periodically adapting strategies flexibly responding appropriately amidst varying conditions dynamically improving robustness resiliently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations dependably bolstering overall efficacy systematically addressing identified shortcomings dynamically fostering continuous advancements.
THANKS
Heartfelt acknowledgment extends to all developers contributing invaluable insights regarding multi-level price condition-based trading methodologies! ✨
[blackcat] L1 Net Volume DifferenceOVERVIEW
The L1 Net Volume Difference indicator serves as an advanced analytical tool designed to provide traders with deep insights into market sentiment by examining the differential between buying and selling volumes over precise timeframes. By leveraging these volume dynamics, it helps identify trends and potential reversal points more accurately, thereby supporting well-informed decision-making processes. The key focus lies in dissecting intraday changes that reflect short-term market behavior, offering critical input for both swing and day traders alike. 📊
Key benefits encompass:
• Precise calculation of net volume differences grounded in real-time data.
• Interactive visualization elements enhancing interpretability effortlessly.
• Real-time generation of buy/sell signals driven by dynamic volume shifts.
TECHNICAL ANALYSIS COMPONENTS
📉 Volume Accumulation Mechanisms:
Monitors cumulative buy/sell volumes derived from comparative closing prices.
Periodically resets accumulation counters aligning with predefined intervals (e.g., 5-minute bars).
Facilitates identification of directional biases reflecting underlying market forces accurately.
🕵️♂️ Sentiment Detection Algorithms:
Employs proprietary logic distinguishing between bullish/bearish sentiments dynamically.
Ensures consistent adherence to predefined statistical protocols maintaining accuracy.
Supports adaptive thresholds adjusting sensitivities based on changing market conditions flexibly.
🎯 Dynamic Signal Generation:
Detects transitions indicating dominance shifts between buyers/sellers promptly.
Triggers timely alerts enabling swift reactions to evolving market dynamics effectively.
Integrates conditional logic reinforcing signal validity minimizing erroneous activations.
INDICATOR FUNCTIONALITY
🔢 Core Algorithms:
Utilizes moving averages along with standardized deviation formulas generating precise net volume measurements.
Implements Arithmetic Mean Line Algorithm (AMLA) smoothing techniques improving interpretability.
Ensures consistent alignment with established statistical principles preserving fidelity.
🖱️ User Interface Elements:
Dedicated plots displaying real-time net volume markers facilitating swift decision-making.
Context-sensitive color coding distinguishing positive/negative deviations intuitively.
Background shading highlighting proximity to key threshold activations enhancing visibility.
STRATEGY IMPLEMENTATION
✅ Entry Conditions:
Confirm bullish/bearish setups validated through multiple confirmatory signals.
Validate entry decisions considering concurrent market sentiment factors.
Assess alignment between net volume readings and broader trend directions ensuring coherence.
🚫 Exit Mechanisms:
Trigger exits upon hitting predetermined thresholds derived from historical analyses.
Monitor continuous breaches signifying potential trend reversals promptly executing closures.
Execute partial/total closes contingent upon cumulative loss limits preserving capital efficiently.
PARAMETER CONFIGURATIONS
🎯 Optimization Guidelines:
Reset Interval: Governs responsiveness versus stability balancing sensitivity/stability.
Price Source: Dictates primary data series driving volume calculations selecting relevant inputs accurately.
💬 Customization Recommendations:
Commence with baseline defaults; iteratively refine parameters isolating individual impacts.
Evaluate adjustments independently prior to combined modifications minimizing disruptions.
Prioritize minimizing erroneous trigger occurrences first optimizing signal fidelity.
Sustain balanced risk-reward profiles irrespective of chosen settings upholding disciplined approaches.
ADVANCED RISK MANAGEMENT
🛡️ Proactive Risk Mitigation Techniques:
Enforce strict compliance with pre-defined maximum leverage constraints adhering strictly to guidelines.
Mandatorily apply trailing stop-loss orders conforming to script outputs reinforcing discipline.
Allocate positions proportionately relative to available capital reserves managing exposures prudently.
Conduct periodic reviews gauging strategy effectiveness rigorously identifying areas needing refinement.
⚠️ Potential Pitfalls & Solutions:
Address frequent violations arising during heightened volatility phases necessitating manual interventions judiciously.
Manage false alerts warranting immediate attention avoiding adverse consequences systematically.
Prepare contingency plans mitigating margin call possibilities preparing proactive responses effectively.
Continuously assess automated system reliability amidst fluctuating conditions ensuring seamless functionality.
PERFORMANCE AUDITS & REFINEMENTS
🔍 Critical Evaluation Metrics:
Assess win percentages consistently across diverse trading instruments gauging reliability.
Calculate average profit ratios per successful execution measuring profitability efficiency accurately.
Measure peak drawdown durations alongside associated magnitudes evaluating downside risks comprehensively.
Analyze signal generation frequencies revealing hidden patterns potentially skewing outcomes uncovering systematic biases.
📈 Historical Data Analysis Tools:
Maintain comprehensive records capturing every triggered event meticulously documenting results.
Compare realized profits/losses against backtested simulations benchmarking actual vs expected performances accurately.
Identify recurrent systematic errors demanding corrective actions implementing iterative refinements steadily.
Document evolving performance metrics tracking progress dynamically addressing identified shortcomings proactively.
PROBLEM SOLVING ADVICE
🔧 Frequent Encountered Challenges:
Unpredictable behaviors emerging within thinly traded markets requiring filtration processes.
Latency issues manifesting during abrupt price fluctuations causing missed opportunities.
Overfitted models yielding suboptimal results post-extensive tuning demanding recalibrations.
Inaccuracies stemming from incomplete/inaccurate data feeds necessitating verification procedures.
💡 Effective Resolution Pathways:
Exclude low-liquidity assets prone to erratic movements enhancing signal integrity.
Introduce buffer intervals safeguarding major news/event impacts mitigating distortions effectively.
Limit ongoing optimization attempts preventing model degradation maintaining optimal performance levels consistently.
Verify reliable connections ensuring uninterrupted data flows guaranteeing accurate interpretations reliably.
USER ENGAGEMENT SEGMENT
🤝 Community Contributions Welcome
Highly encourage active participation sharing experiences & recommendations!
THANKS
Heartfelt acknowledgment extends to all developers contributing invaluable insights about volume-based trading methodologies! ✨
WaveTrend Filtered Signals (LazyBear Style)WaveTrend Filtered Signals (LazyBear Style)
This indicator is based on the popular WaveTrend oscillator (LazyBear) and adds several optional filters to improve signal quality:
✅ Available filters:
WT oversold/overbought zones – enabled by default. Signals are shown only if WT was previously in the specified zone (e.g., < -60 for longs, > 60 for shorts).
SMA trend filter – allows filtering signals in the direction of the moving average trend.
SMA position filter – signals appear only when price is above (for long) or below (for short) the moving average.
Consolidation filter – ignores signals during low-volatility sideways price movement.
💡 All filters are optional and can be enabled or disabled in the settings.
The default setup focuses on a clean approach: WaveTrend + oversold/overbought zones, with other filters left for customization.
SSS (Smati Sati Swing) v0.3📌 คำอธิบายสคริปต์ – SSS (Smati Sati Swing) v0.3
Smati Sati Swing (SSS) v0.3 คืออินดิเคเตอร์แบบ All-in-One ที่ออกแบบมาเพื่อเทรดเดอร์สายเทรดสั้นที่ต้องการความชัดเจนใน “โครงสร้างกราฟ”, “เทรนด์”, และ “พฤติกรรมตามช่วงเวลา” เพื่อช่วยให้ตัดสินใจได้แม่นยำมากขึ้น
🔹 1. ระบบยืนยัน Swing ด้วย ZigZag (Swing Structure Logic)
ใช้ ZigZag Logic สไตล์ MT4 ในการระบุจุด HH (Higher High), HL, LH, LL
ช่วยให้มองเห็นโครงสร้างราคาได้ชัดเจน
เหมาะสำหรับใช้ตี Fibonacci, วางจุด Stop Loss เชิงโครงสร้าง
ทุกจุด swing จะมี Label แสดงแบบเรียลไทม์ พร้อมตั้งค่าได้หลากหลาย
รองรับ Alert แจ้งเตือนเมื่อตลาดเกิด swing จุดใหม่
🔹 2. Dashboard แสดงแนวโน้มหลาย Timeframe (Trend Detection Logic)
ตรวจจับเทรนด์แบบอัตโนมัติในหลาย TF ได้แก่ 1m, 5m, 15m, 30m, 1h, 4h
โดยใช้ EMA89 เป็นตัวกำหนดแนวโน้มหลัก
ระบบจะเปรียบเทียบราคาและ EMA พร้อม Threshold อัตโนมัติ
แสดงผลเป็น "ขาขึ้น", "Sideway", หรือ "ขาลง"
ใช้สีที่เข้าใจง่ายสำหรับตีความในพริบตาเดียว
🔹 3. กล่องแสดงช่วงเวลา Session (Time Logic)
อินดิเคเตอร์นี้สามารถแสดงกล่องแบบเรียลไทม์ของ Session หลัก ได้แก่:
เอเชีย, ลอนดอน, และนิวยอร์ก (US)
เห็นได้ทันทีว่าแต่ละ Session มีแนวโน้มพักตัวหรือ breakout
ช่วยให้วางกลยุทธ์เทรดตามช่วงเวลาที่มี Volume สูงได้แม่นยำยิ่งขึ้น
🔹 4. ระบบคำนวณ Lot / Margin + ตั้งค่าปรับได้ทุกฟีเจอร์
ใส่ขนาดบัญชีของคุณ และเลือกว่าคุณเทรด คริปโต หรือ ฟอเร็กซ์
ระบบจะแสดง:
Margin ที่ใช้โดยประมาณ (สำหรับ Crypto)
หรือ ขนาด Lot แนะนำ (สำหรับ Forex ตามโมเดล $10,000 = 1 Lot)
ทุกฟีเจอร์ เช่น EMA, ZigZag, Labels, Session, และ Lot Info
สามารถเปิด/ปิดได้จากหน้าตั้งค่าแรก เพื่อให้เหมาะกับสไตล์ของคุณ
💡 เหมาะกับใคร?
เทรดเดอร์ที่เน้นโครงสร้างราคา (เช่น เทรด Break HL / LH)
เทรดเดอร์ที่ใช้ Fibonacci หรือแนวรับต้านแบบ Zone
เทรดเดอร์สายกลับตัว หรือสาย Scalping ที่ต้องการยืนยันเทรนด์ + สวิง
สคริปต์นี้ไม่ repaint และทำงานแบบเรียลไทม์ทุกแท่งราคา
แม้จะเป็น Closed-source แต่ทุกฟีเจอร์หลัก และตรรกะการคำนวณ ได้อธิบายไว้อย่างชัดเจนในคำอธิบายนี้แล้ว
📌 Script Description – SSS (Smati Sati Swing) v0.3
Smati Sati Swing (SSS) v0.3 is an all-in-one indicator developed for short-term traders who prioritize structure, clarity, and decision-making under pressure. This script combines three major components — Trend Direction, Swing Structure, and Session Context — and presents them in an integrated, real-time dashboard.
🔹 1. ZigZag-Based Swing Verification (Structure Logic)
This module uses a ZigZag algorithm (based on MT4-style logic) to identify and label Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), and Lower Lows (LL).
It helps traders visually confirm market structure in real-time
Useful for identifying potential reversal points, placing Fibonacci retracements, or setting structure-based Stop Loss
Swing points are labeled directly on the chart with customizable visuals and alerts
🔹 2. Multi-Timeframe Trend Detection (Trend Logic)
A built-in dashboard displays trend status across key timeframes: 1m, 5m, 15m, 30m, 1h, and 4h, using EMA(89) as the trend anchor.
Price vs EMA is compared with a dynamic threshold
Results in “Uptrend”, “Sideway”, or “Downtrend” conditions
Color-coded for quick interpretation
🔹 3. Session Box Overlay (Time Logic)
The indicator also draws real-time boxes for the Asia, London, and New York (US) sessions, helping traders recognize:
When price tends to consolidate vs. break out
How different sessions impact volatility and structure formation
🔹 4. Lot/Margin Estimator + Custom Settings
Input your account size and select whether you're trading Crypto or Forex
The script will suggest either:
Estimated margin usage (for crypto accounts)
Approximate lot size (for forex accounts, based on a 1 lot = $10,000 model)
Every module (EMA, Sessions, ZigZag, Labels, Lot Display) can be toggled on/off from the main settings for full control
💡 Use Case Summary
SSS v0.3 is ideal for:
Traders who follow structure-based entries (like break of LH/HL)
Fibonacci and supply-demand zone traders
Reversal or scalping strategies that require real-time trend & structure verification
This script does not repaint, and all logic is executed live per-bar. While this is a closed-source script, all components, calculations, and features are described in full here.
