Custom TABI Model with LayersCustom Top and Bottom Indicator (TABI) (Is a Trend Adaptive Blow-Off Indicator) -
User Guide & Description
Introduction
The TABI (Trend Adaptive Blow-Off Indicator) is a refined, multi-layered RSI tool designed to enhance trend analysis, detect momentum shifts, and highlight overbought/oversold conditions with a more nuanced, color-coded approach. This indicator is useful for traders seeking to identify key reversal points, confirm trend strength, and filter trade setups more effectively than traditional RSI.
By incorporating volume-based confirmation and divergence detection, TABI aims to reduce false signals and improve trade timing.
How It Works
TABI builds on the Relative Strength Index (RSI) by introducing:
A smoothed RSI calculation for better trend readability.
11 color-coded RSI levels, allowing traders to visually distinguish weak, neutral, and extreme conditions.
Volume-based confirmation to detect high-conviction moves.
Bearish & Bullish Divergence Detection, inspired by Market Cipher methods, to spot potential reversals early.
Overbought & Oversold alerts, with optional candlestick color changes to highlight trade signals.
Key Features
✅ Color-Coded RSI for Better Readability
The RSI is divided into multi-layered color zones:
🔵 Light Blue: Extremely oversold
🟢 Lime Green: Mild oversold, potential trend reversal
🟡 Yellow & Orange: Neutral, momentum consolidation
🟠 Dark Orange: Caution, overbought conditions developing
🔴 Red: Extreme overbought, possible exhaustion
✅ Divergence Detection
Bearish Divergence: Price makes higher highs, RSI makes lower highs → Potential top signal
Bullish Divergence: Price makes lower lows, RSI makes higher lows → Potential bottom signal
✅ Volume Confirmation Filter
Requires a 50% above-average volume spike for strong buy/sell signals, reducing false breakouts.
✅ Dynamic Labels & Alerts
🚨 Blow-Off Top Warning: If RSI is overbought + volume spikes + divergence detected
🟢 Oversold Bottom Alert: If RSI is oversold + bullish divergence
Candlestick color changes when extreme conditions are met.
How to Use
📌 Entry & Exit Signals
Buy Consideration:
RSI enters Green Zone (oversold)
Bullish divergence detected
Volume confirms the move
Sell Consideration:
RSI enters Red Zone (overbought)
Bearish divergence detected
Volume confirms exhaustion
📌 Trend Confirmation
Use the yellow/orange levels to confirm strong trends before entering counter-trend trades.
📌 Filtering Trade Noise
The RSI smoothing helps reduce false whipsaws, making it easier to read true momentum shifts.
Customization Options
🔧 User-Defined RSI Thresholds
Adjust the overbought/oversold levels to match your trading style.
🔧 Divergence Sensitivity
Modify the lookback period to fine-tune divergence detection accuracy.
🔧 Volume Thresholds
Set custom volume multipliers to control confirmation requirements.
Why This is Unique
🔹 Unlike traditional RSI, TABI visually maps RSI zones into layered gradients, making it easy to spot momentum shifts.
🔹 The multi-layered color scheme adds an intuitive, heatmap-like effect to RSI, helping traders quickly gauge conditions.
🔹 Incorporates CCF-inspired divergence detection and volume filtering, making signals more robust.
🔹 Dynamic labeling system ensures clarity without cluttering the chart.
Alerts & Notifications
🔔 TradingView Alerts Included
🚨 Blow-Off Top Detected → RSI overbought + volume spike + bearish divergence.
🟢 Oversold Bottom Detected → RSI oversold + bullish divergence.
Set alerts to receive notifications without watching the charts 24/7.
Final Thoughts
TABI is designed to simplify RSI analysis, provide better trade signals, and improve decision-making. Whether you're day trading, swing trading, or long-term investing, this tool helps you navigate market conditions with confidence.
🔥 Use it to detect high-probability reversals, confirm trends, and improve trade entries/exits! 🚀
Cerca negli script per "accuracy"
Volatility-Enhanced Williams %R [AIBitcoinTrend]👽 Volatility-Enhanced Williams %R (AIBitcoinTrend)
The Volatility-Enhanced Williams %R takes the classic Williams %R oscillator to the next level by incorporating volatility-adaptive smoothing, making it significantly more responsive to market dynamics. Unlike the traditional version, which uses a fixed calculation method, this indicator dynamically adjusts its smoothing factor based on market volatility, helping traders capture trends more effectively while filtering out noise.
Additionally, the indicator includes real-time divergence detection and an ATR-based trailing stop system, providing traders with enhanced risk management tools and early reversal signals.
👽 What Makes the Volatility-Enhanced Williams %R Unique?
Unlike the standard Williams %R, which applies a simple lookback-based formula, this version integrates adaptive smoothing and volatility-based filtering to refine its signals and reduce false breakouts.
✅ Volatility-Adaptive Smoothing – Adjusts dynamically based on standard deviation, enhancing signal accuracy.
✅ Real-Time Divergence Detection – Identifies bullish and bearish divergences for early trend reversal signals.
✅ Crossovers & Trailing Stops – Implements Williams %R crossovers with ATR-based trailing stops for intelligent trade management.
👽 The Math Behind the Indicator
👾 Volatility-Adaptive Smoothing
The indicator smooths the Williams %R calculation by applying an adaptive filtering mechanism, which adjusts its responsiveness based on market conditions. This helps to eliminate whipsaws and makes trend-following strategies more reliable.
The smoothing function is defined as:
clamp(x, lo, hi) => math.min(math.max(x, lo), hi)
adaptive(src, prev, len, divisor, minAlpha, maxAlpha) =>
vol = ta.stdev(src, len)
alpha = clamp(vol / divisor, minAlpha, maxAlpha)
prev + alpha * (src - prev)
Where:
Volatility Factor (vol) measures price dispersion using standard deviation.
Adaptive Alpha (alpha) dynamically adjusts smoothing strength.
Clamped Output ensures that the smoothing factor remains within a stable range.
👽 How Traders Can Use This Indicator
👾 Divergence Trading Strategy
Bullish Divergence Setup:
Price makes a lower low, while Williams %R forms a higher low.
Buy signal is confirmed when Williams %R reverses upward.
Bearish Divergence Setup:
Price makes a higher high, while Williams %R forms a lower high.
Sell signal is confirmed when Williams %R reverses downward.
👾 Trailing Stop & Signal-Based Trading
Bullish Setup:
✅ Williams %R crosses above trigger level → Buy signal.
✅ A bullish trailing stop is placed at Low - (ATR × Multiplier).
✅ Exit if price crosses below the stop.
Bearish Setup:
✅ Williams %R crosses below trigger level → Sell signal.
✅ A bearish trailing stop is placed at High + (ATR × Multiplier).
✅ Exit if price crosses above the stop.
👽 Why It’s Useful for Traders
Adaptive Filtering Mechanism – Avoids excessive noise while maintaining responsiveness.
Real-Time Divergence Alerts – Helps traders anticipate market reversals before they occur.
ATR-Based Risk Management – Stops dynamically adjust based on market volatility.
Multi-Market Compatibility – Works effectively across stocks, forex, crypto, and futures.
👽 Indicator Settings
Smoothing Factor – Controls how aggressively the indicator adapts to volatility.
Enable Divergence Analysis – Activates real-time divergence detection.
Lookback Period – Defines the number of bars for detecting pivot points.
Enable Crosses Signals – Turns on Williams %R crossover-based trade signals.
ATR Multiplier – Adjusts trailing stop sensitivity.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Supertrend TP SL (PRO)2. Main Components:
Supertrend Indicator:
Theoretical basis: The Supertrend indicator is based on two main concepts: Average True Range (ATR) and Factor. ATR measures the extent of price fluctuations in a given period of time, while Factor determines the sensitivity of the indicator to price changes.
Mechanism of operation: The indicator calculates two possible lines: one line representing the potential support level and another line representing the potential resistance level. The selection of the appropriate line depends on the current price direction. When the price is above the line, the indicator is considered to be in an uptrend, and vice versa.
Customizable inputs:
atrPeriod: Allows the trader to specify the time period for calculating the ATR. Shorter periods make the indicator more sensitive to price changes, while longer periods reduce its sensitivity.
factor: Allows the adjustment of the factor. Higher values make the indicator less likely to give false signals, but they may also delay entry signals.
Risk Management:
Take Profit and Stop Loss Orders:
TPPoints: Specifies the distance between the entry price and the take profit level. This distance is expressed in points, and is converted to an actual price value using syminfo.mintick (the smallest possible price movement of the traded asset).
SLPoints: Specifies the distance between the entry price and the stop loss level.
Importance: These orders allow the trader to specify the maximum loss he is willing to take and the profit target he is aiming to achieve, which helps in effective risk management.
Activate/Disable Trades:
isLongEnabled: Allows buy trades to be enabled or disabled, which allows the trader to trade in one direction only (for example, only trade in the uptrend during a bull market).
isShortEnabled: Allows sell trades to be enabled or disabled.
isTakeProfitEnabled: Allows take profit orders to be enabled or disabled. The trader may wish to disable them if he prefers to manage his trades manually.
isStopLossEnabled: Allows you to enable or disable stop loss orders. Although disabling them may seem tempting in some cases, it is a very risky move.
Visual Customization:
Line Style and Width:
lineStyle: Allows the trader to choose the style of lines used to draw TP and SL levels (Solid, Dashed, Dotted).
lineWidth: Sets the thickness of the lines.
Label Size:
labelSize: Allows you to set the size of the labels that display TP and SL levels (Small, Normal, Large).
Colors:
bullColor, bearColor, tpColor, slColor: Allows the trader to customize the colors of the different elements on the chart, making visual analysis easier.
3. Strategy Logic:
Determining Entry Signals: The strategy relies on the Supertrend indicator to determine entry signals. When the Supertrend trend changes from bearish to bullish, a buy trade is triggered (if isLongEnabled is enabled). When the trend changes from bullish to bearish, a sell trade is triggered (if isShortEnabled is enabled).
Order Execution: Once the entry signal is triggered, the strategy automatically places buy or sell orders.
Trade Management: After opening a trade, the strategy monitors the price and automatically triggers Take Profit and Stop Loss orders if the price reaches the specified levels.
Visualization: The strategy displays useful information on the chart, such as TP and SL lines, entry and exit signals, which helps the trader understand the strategy’s behavior and evaluate its performance.
4. Advanced Tips:
Optimizing Settings: The strategy’s performance can be improved by adjusting different input values. For example, the trader can experiment with different values for atrPeriod and factor to improve the accuracy of Supertrend signals.
Combining Indicators: This strategy can be combined with other indicators to improve the accuracy of entry signals. For example, the Relative Strength Index (RSI) can be used to confirm Supertrend signals.
Time Analysis: The strategy’s performance can be analyzed over different time periods to evaluate its effectiveness in various market conditions.
Strategy Testing: Before using the strategy in real trading, it should be tested on historical data (Backtesting) to evaluate its performance and determine the optimal settings.
5. Associated Risks:
False Signals: The Supertrend indicator may sometimes give false signals, especially in volatile markets.
Losses: Even with the use of stop loss orders, the trader may be exposed to significant losses.
Over-optimization: Over-optimization of settings on historical data may lead to misleading results. The trader should be careful about generalizing the results to future data.
Over-reliance on automation: The automated strategy should not be relied upon completely. The trader should monitor the trades and make appropriate decisions when necessary.
6. Disclaimer:
I am not a licensed financial advisor. This strategy is provided for educational and illustrative purposes only and should not be considered as investment advice. Trading in financial markets involves significant risks and you may lose your invested capital. Before making any investment decisions, consult a qualified financial advisor and conduct your own research. You alone are responsible for your trading decisions and their results. By using this strategy, you acknowledge and agree that I am not responsible for any losses or damages you may incur.
2. المكونات الرئيسية:
مؤشر Supertrend:
الأساس النظري: يعتمد مؤشر Supertrend على مفهومين رئيسيين هما: متوسط المدى الحقيقي (Average True Range - ATR) ومعامل الضرب (Factor). ATR يقيس مدى تقلبات الأسعار في فترة زمنية محددة، بينما Factor يحدد مدى حساسية المؤشر لتغيرات الأسعار.
آلية العمل: يقوم المؤشر بحساب خطين محتملين: خط يمثل مستوى الدعم المحتمل وخط آخر يمثل مستوى المقاومة المحتمل. يعتمد اختيار الخط المناسب على اتجاه السعر الحالي. عندما يكون السعر أعلى من الخط، يعتبر المؤشر في اتجاه صاعد، والعكس صحيح.
المدخلات القابلة للتخصيص:
atrPeriod: يتيح للمتداول تحديد الفترة الزمنية لحساب ATR. الفترات الأقصر تجعل المؤشر أكثر حساسية لتغيرات الأسعار، بينما الفترات الأطول تقلل من حساسيته.
factor: يسمح بتعديل معامل الضرب. القيم الأعلى تجعل المؤشر أقل عرضة لإعطاء إشارات خاطئة، ولكنها قد تؤخر أيضًا إشارات الدخول.
إدارة المخاطر:
أوامر جني الأرباح وإيقاف الخسارة:
TPPoints: يحدد المسافة بين سعر الدخول ومستوى جني الأرباح. يتم التعبير عن هذه المسافة بالنقاط (Points)، ويتم تحويلها إلى قيمة سعرية فعلية باستخدام syminfo.mintick (أصغر حركة سعرية ممكنة للأصل المتداول).
SLPoints: يحدد المسافة بين سعر الدخول ومستوى إيقاف الخسارة.
الأهمية: تتيح هذه الأوامر للمتداول تحديد الحد الأقصى للخسارة التي يرغب في تحملها والهدف الربحي الذي يسعى لتحقيقه، مما يساعد على إدارة المخاطر بشكل فعال.
تفعيل/تعطيل الصفقات:
isLongEnabled: يسمح بتفعيل أو تعطيل صفقات الشراء، مما يمكن المتداول من التداول في اتجاه واحد فقط (على سبيل المثال، التداول فقط في الاتجاه الصاعد خلال سوق صاعدة).
isShortEnabled: يسمح بتفعيل أو تعطيل صفقات البيع.
isTakeProfitEnabled: يسمح بتفعيل أو تعطيل أوامر جني الأرباح. قد يرغب المتداول في تعطيلها إذا كان يفضل إدارة صفقاته يدويًا.
isStopLossEnabled: يسمح بتفعيل أو تعطيل أوامر إيقاف الخسارة. على الرغم من أن تعطيلها قد يبدو مغريًا في بعض الحالات، إلا أنه يعتبر خطوة محفوفة بالمخاطر للغاية.
التخصيص المرئي:
نمط وعرض الخطوط:
lineStyle: يتيح للمتداول اختيار نمط الخطوط المستخدمة لرسم مستويات TP و SL (Solid, Dashed, Dotted).
lineWidth: يحدد سمك الخطوط.
حجم الملصقات:
labelSize: يسمح بتحديد حجم الملصقات التي تعرض مستويات TP و SL (Small, Normal, Large).
الألوان:
bullColor, bearColor, tpColor, slColor: تتيح للمتداول تخصيص ألوان العناصر المختلفة على الرسم البياني، مما يسهل عملية التحليل البصري.
3. منطق عمل الاستراتيجية:
تحديد إشارات الدخول: تعتمد الاستراتيجية على مؤشر Supertrend لتحديد إشارات الدخول. عندما يتغير اتجاه Supertrend من هابط إلى صاعد، يتم تفعيل صفقة شراء (إذا كانت isLongEnabled مفعلة). وعندما يتغير الاتجاه من صاعد إلى هابط، يتم تفعيل صفقة بيع (إذا كانت isShortEnabled مفعلة).
تنفيذ الأوامر: بمجرد تفعيل إشارة الدخول، تقوم الاستراتيجية بوضع أوامر الشراء أو البيع تلقائيًا.
إدارة الصفقات: بعد فتح الصفقة، تقوم الاستراتيجية بمراقبة السعر وتفعيل أوامر جني الأرباح وإيقاف الخسارة تلقائيًا في حالة وصول السعر إلى المستويات المحددة.
التمثيل المرئي: تعرض الاستراتيجية معلومات مفيدة على الرسم البياني، مثل خطوط TP و SL وإشارات الدخول والخروج، مما يساعد المتداول على فهم سلوك الاستراتيجية وتقييم أدائها.
4. نصائح متقدمة:
تحسين الإعدادات: يمكن تحسين أداء الاستراتيجية من خلال تعديل قيم المدخلات المختلفة. على سبيل المثال، يمكن للمتداول تجربة قيم مختلفة لـ atrPeriod و factor لتحسين دقة إشارات Supertrend.
الجمع بين المؤشرات: يمكن دمج هذه الاستراتيجية مع مؤشرات أخرى لتحسين دقة إشارات الدخول. على سبيل المثال، يمكن استخدام مؤشر القوة النسبية (RSI) لتأكيد إشارات Supertrend.
التحليل الزمني: يمكن تحليل أداء الاستراتيجية على مدى فترات زمنية مختلفة لتقييم مدى فعاليتها في ظروف السوق المتنوعة.
اختبار الاستراتيجية: قبل استخدام الاستراتيجية في التداول الحقيقي، يجب اختبارها على بيانات تاريخية (Backtesting) لتقييم أدائها وتحديد الإعدادات المثلى.
5. المخاطر المرتبطة:
الإشارات الخاطئة: قد يعطي مؤشر Supertrend إشارات خاطئة في بعض الأحيان، خاصة في الأسواق المتقلبة.
الخسائر: حتى مع استخدام أوامر إيقاف الخسارة، قد يتعرض المتداول لخسائر كبيرة.
التحسين المفرط: قد يؤدي التحسين المفرط للإعدادات على بيانات تاريخية إلى نتائج مضللة. يجب أن يكون المتداول حذرًا بشأن تعميم النتائج على البيانات المستقبلية.
الاعتماد الزائد على الأتمتة: يجب عدم الاعتماد بشكل كامل على الاستراتيجية الآلية. يجب على المتداول مراقبة الصفقات واتخاذ القرارات المناسبة عند الضرورة.
6. إخلاء المسؤولية:
أنا لست مستشارًا ماليًا مرخصًا. هذه الاستراتيجية مقدمة لأغراض تعليمية وتوضيحية فقط، ولا ينبغي اعتبارها نصيحة استثمارية. التداول في الأسواق المالية ينطوي على مخاطر كبيرة، وقد تخسر رأس المال المستثمر. قبل اتخاذ أي قرارات استثمارية، استشر مستشارًا ماليًا مؤهلاً وقم بإجراء بحثك الخاص. أنت وحدك المسؤول عن قراراتك التجارية ونتائجها. باستخدام هذه الاستراتيجية، فإنك تقر وتوافق على أنني لست مسؤولاً عن أي خسائر أو أضرار قد تتكبدها.
CCI with Signals & Divergence [AIBitcoinTrend]👽 CCI with Signals & Divergence (AIBitcoinTrend)
The Hilbert Adaptive CCI with Signals & Divergence takes the traditional Commodity Channel Index (CCI) to the next level by dynamically adjusting its calculation period based on real-time market cycles using Hilbert Transform Cycle Detection. This makes it far superior to standard CCI, as it adapts to fast-moving trends and slow consolidations, filtering noise and improving signal accuracy.
Additionally, the indicator includes real-time divergence detection and an ATR-based trailing stop system, helping traders identify potential reversals and manage risk effectively.
👽 What Makes the Hilbert Adaptive CCI Unique?
Unlike the traditional CCI, which uses a fixed-length lookback period, this version automatically adjusts its lookback period using Hilbert Transform to detect the dominant cycle in the market.
✅ Hilbert Transform Adaptive Lookback – Dynamically detects cycle length to adjust CCI sensitivity.
✅ Real-Time Divergence Detection – Instantly identifies bullish and bearish divergences for early reversal signals.
✅ Implement Crossover/Crossunder signals tied to ATR-based trailing stops for risk management
👽 The Math Behind the Indicator
👾 Hilbert Transform Cycle Detection
The Hilbert Transform estimates the dominant market cycle length based on the frequency of price oscillations. It is computed using the in-phase and quadrature components of the price series:
tp = (high + low + close) / 3
smooth = (tp + 2 * tp + 2 * tp + tp ) / 6
detrender = smooth - smooth
quadrature = detrender - detrender
inPhase = detrender + quadrature
outPhase = quadrature - inPhase
instPeriod = 0.0
deltaPhase = math.abs(inPhase - inPhase ) + math.abs(outPhase - outPhase )
instPeriod := nz(3.25 / deltaPhase, instPeriod )
dominantCycle = int(math.min(math.max(instPeriod, cciMinPeriod), 500))
Where:
In-Phase & Out-Phase Components are derived from a detrended version of the price series.
Instantaneous Frequency measures the rate of cycle change, allowing the CCI period to adjust dynamically.
The result is bounded within a user-defined min/max range, ensuring stability.
👽 How Traders Can Use This Indicator
👾 Divergence Trading Strategy
Bullish Divergence Setup:
Price makes a lower low, while CCI forms a higher low.
Buy signal is confirmed when CCI shows upward momentum.
Bearish Divergence Setup:
Price makes a higher high, while CCI forms a lower high.
Sell signal is confirmed when CCI shows downward momentum.
👾 Trailing Stop & Signal-Based Trading
Bullish Setup:
✅ CCI crosses above -100 → Buy signal.
✅ A bullish trailing stop is placed at Low - (ATR × Multiplier).
✅ Exit if the price crosses below the stop.
Bearish Setup:
✅ CCI crosses below 100 → Sell signal.
✅ A bearish trailing stop is placed at High + (ATR × Multiplier).
✅ Exit if the price crosses above the stop.
👽 Why It’s Useful for Traders
Hilbert Adaptive Period Calculation – No more fixed-length periods; the indicator dynamically adapts to market conditions.
Real-Time Divergence Alerts – Helps traders anticipate market reversals before they occur.
ATR-Based Risk Management – Stops automatically adjust based on volatility.
Works Across Multiple Markets & Timeframes – Ideal for stocks, forex, crypto, and futures.
👽 Indicator Settings
Min & Max CCI Period – Defines the adaptive range for Hilbert-based lookback.
Smoothing Factor – Controls the degree of smoothing applied to CCI.
Enable Divergence Analysis – Toggles real-time divergence detection.
Lookback Period – Defines the number of bars for detecting pivot points.
Enable Crosses Signals – Turns on CCI crossover-based trade signals.
ATR Multiplier – Adjusts trailing stop sensitivity.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Relative Vigor Index (RVI) with EMD [AIBitcoinTrend]👽 Adaptive Relative Vigor Index with EMD & Signals (AIBitcoinTrend)
The Adaptive Relative Vigor Index (RVI) with Empirical Mode Decomposition (EMD) is an enhanced version of the traditional RVI, designed to improve signal clarity and responsiveness to market conditions. By integrating EMD smoothing and adaptive volatility-based trailing stops.
👽 What Makes the Adaptive RVI with EMD Unique?
Unlike the standard RVI, which often lags in volatile markets, this version refines price momentum detection by applying Empirical Mode Decomposition (EMD), effectively filtering out noise. Additionally, it features ATR-based trailing stops for precise trade execution.
Key Features:
EMD-Enhanced RVI – Filters out short-term noise, improving signal accuracy.
Crossover & Crossunder Signals – Generates trade signals based on RVI trends.
ATR-Based Trailing Stop – Adjusts dynamically based on volatility for optimal risk management.
👽 The Math Behind the Indicator
👾 RVI Calculation with EMD Smoothing
The Relative Vigor Index (RVI) measures trend strength by comparing the relationship between closing and opening prices, relative to the high-low range. Traditional RVI uses fixed smoothing, whereas this version applies Empirical Mode Decomposition (EMD) to extract dominant price cycles and improve trend clarity.
How It Works:
The RVI is initially calculated using a weighted moving average (WMA) over a specified period.
EMD refines the RVI signal by removing high-frequency noise, creating a smoothed RVI component.
This results in a more stable and reliable trend indicator.
👽 How Traders Can Use This Indicator
👾 Trailing Stop & Signal-Based Trading
Bullish Setup:
✅ RVI crosses above EMD → Buy signal.
✅ A bullish trailing stop is placed at low - ATR × Multiplier.
✅ Exit if price crosses below the stop.
Bearish Setup:
✅ RVI crosses below EMD → Sell signal.
✅ A bearish trailing stop is placed at high + ATR × Multiplier.
✅ Exit if price crosses above the stop.
👾 Detecting Overbought & Oversold Areas
This indicator helps traders identify potential reversal zones by highlighting overbought and oversold conditions.
Overbought Zone: When RVI moves above 0.4, the market may be overextended, signaling a potential reversal downward.
Oversold Zone: When RVI moves below -0.4, the market may be undervalued, suggesting a possible upward reversal.
Using these levels, traders can confirm entry and exit points alongside divergence signals for higher probability trades.
👽 Why It’s Useful for Traders
EMD-Based Signal Enhancement: Filters out noise, refining momentum signals.
Adaptive ATR-Based Risk Management: Automatically adjusts stop-loss levels to market conditions.
Works Across Multiple Markets & Timeframes: Effective for stocks, forex, crypto, and futures trading.
👽 Indicator Settings
RVI Length – Defines the period for calculating the Relative Vigor Index.
EMD Period – Controls the level of EMD smoothing applied.
Final Smoothing – Adjusts the degree of additional signal filtering.
Lookback Period – Determines how many bars are used for detecting pivot points.
Enable Trailing Stop – Activates dynamic ATR-based trailing stops.
ATR Multiplier – Adjusts the stop-loss sensitivity.
Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Ivan Gomes StrategyIG Signals+ - Ivan Gomes Strategy
This script is designed for scalping and binary options trading, generating buy and sell signals at the beginning of each candle. Although it is mainly optimized for short-term operations, it can also be used for medium and long-term strategies with appropriate adjustments.
How It Works
• The indicator provides buy or sell signals at the start of the candle, based on a statistical probability of candle patterns, depending on the timeframe.
• It is essential to enter the trade immediately after the signal appears and exit at the end of the same candle.
• If the first operation results in a loss (Loss), the script will send another trade signal at the start of the next candle. However, if the first trade results in a win (Gain), no new signal will be generated.
• The signals follow cycles of 3 candles, regardless of the timeframe. However, if a Doji candle appears, the cycle is interrupted, and no signals will be generated until the next valid cycle starts.
• The strategy consists of up to two trades per cycle: if the first trade is not successful, the second trade serves as an additional attempt to recover.
Key Points to Consider
1. Avoid trading in sideways markets – If price levels do not fluctuate significantly, the accuracy of the signals may decrease.
2. Trade in the direction of the trend – Using Ichimoku clouds or other trend indicators can help confirm trend direction and improve signal reliability. If the market is in an uptrend (bullish trend) and the indicator generates a sell signal, the most prudent decision would be to wait for a buy signal that aligns with the main trend. The same applies to downtrends, where buy signals may be riskier.
These decisions should be based on chart reading and supported by other technical analysis tools, such as support and resistance levels, which indicate zones where price might face obstacles or reverse direction. Additionally, Fibonacci retracement levels can help identify possible pullback points within a trend. Moving averages are also useful for visualizing the general market direction and confirming whether an indicator signal aligns with the overall price structure. Combining these tools can increase trade accuracy and prevent unnecessary trades against the main trend, reducing risks.
3. Works based on probability statistics – The algorithm analyzes candle formations and their statistical probabilities depending on the timeframe to optimize trade entries.
4. Best suited for scalping and binary options – This strategy performs best in 1-minute and 5-minute timeframes, allowing for multiple trades throughout the day.
Technical Details
• The script detects the candle cycle and assigns an index to each candle to identify patterns and possible reversals.
• It recognizes reference candles, stores their colors, and compares them with subsequent candles to determine if a signal should be triggered.
• Doji candle rules are implemented to avoid false signals in indecisive market conditions. When a Doji appears, the script does not generate signals for that cycle.
• The indicator displays visual alerts and notifications, ensuring fast execution of trades.
Disclaimer
The IG Signals+ indicator was created to assist traders who struggle to analyze the market by providing objective trade signals. However, no strategy is foolproof, and this script does not guarantee profits.
Trading involves significant financial risk, and users should test it in a demo account before trading with real money. Proper risk management is crucial for long-term success.
Dual Keltner ChannelsDual Keltner Channels (DKC) Indicator 📊
🔹 About This Indicator
This indicator is an enhanced version of the original Keltner Channel available in TradingView. The Keltner Channel was initially designed as a volatility-based envelope around a moving average, helping traders identify trends, breakouts, and potential reversal zones.
💡 Original Creator: The Keltner Channel concept is based on the work of Chester W. Keltner and was later implemented in various trading platforms, including TradingView’s built-in Keltner Channel indicator.
This script builds upon the TradingView version of the Keltner Channel, adding:
✅ Dual Keltner Bands (Inner & Outer) for better trend and volatility analysis.
✅ Customizable Moving Averages (EMA/SMA) for flexibility.
✅ Multiple Band Calculation Methods (ATR, True Range, Range) for improved accuracy.
✅ Shaded Zones Between the Bands for enhanced visual clarity.
⚡ Credit: This indicator is an enhancement of the original Keltner Channel Indicator in TradingView. All improvements and modifications are made to provide deeper market insights while maintaining the core principles of the original Keltner concept.
🔹 Overview
The Dual Keltner Channels (DKC) indicator overlays two Keltner Channels on the price chart, helping traders spot trends, breakouts, and reversals with greater precision.
Inner Keltner Band (Multiplier 1): Captures normal price movements.
Outer Keltner Band (Multiplier 2): Highlights extreme price movements and potential breakouts.
🔹 Features & Inputs
📌 Main Inputs:
Keltner Channel Length: Defines the lookback period for the moving average calculation.
Source Price: Selects the price type (close, open, high, low) to calculate the bands.
Exponential Moving Average (EMA) Option: Choose between Exponential (EMA) or Simple (SMA) as the basis for calculations.
Bands Style: Selects how the volatility is measured:
Average True Range (ATR) (default)
True Range (TR)
Range (High - Low)
ATR Length: Determines the length of ATR calculations.
Enable Multiplier 1 & 2: Toggle to display/hide inner (multiplier 1) and outer (multiplier 2) bands.
📌 Keltner Channels Calculation:
Moving Average (MA): Uses either EMA or SMA for the midline.
Volatility Band Calculation:
Upper Band 1 (Inner Band): MA + (Multiplier 1 × Volatility Measure)
Lower Band 1 (Inner Band): MA - (Multiplier 1 × Volatility Measure)
Upper Band 2 (Outer Band): MA + (Multiplier 2 × Volatility Measure)
Lower Band 2 (Outer Band): MA - (Multiplier 2 × Volatility Measure)
📌 Visuals & Plotting:
Inner Bands (Multiplier 1): Blue upper & lower lines.
Outer Bands (Multiplier 2): Darker blue upper & lower lines.
Basis Line: White moving average.
Shaded Areas:
Between Upper 1 & Upper 2 (Light Brown Area): Identifies the upper Keltner region.
Between Lower 1 & Lower 2 (Light Brown Area): Identifies the lower Keltner region.
🔹 How to Use the Dual Keltner Channels Indicator
✅ 1. Trend Identification
Price above the upper outer band (Multiplier 2): Strong uptrend – potential continuation.
Price below the lower outer band (Multiplier 2): Strong downtrend – potential continuation.
Price within the inner bands (Multiplier 1): Sideways market – possible consolidation.
✅ 2. Breakout Trading
Break above outer upper band: Indicates a bullish breakout – consider long trades.
Break below outer lower band: Indicates a bearish breakdown – consider short trades.
✅ 3. Overbought & Oversold Conditions
Price touching/exceeding outer bands (Multiplier 2): Potential reversal zones.
Reversal confirmation: Look for candlestick patterns (e.g., Doji, Engulfing) or divergence signals.
✅ 4. Pullback & Entry Zones
Price bouncing from inner bands (Multiplier 1): Good re-entry point in trend direction.
Inner band as support/resistance: Helps in setting stop-loss and profit targets.
🔹 Effective Trading Strategies Using DKC
📌 1. Trend Following Strategy (Using Moving Average & Bands)
✅ Look for price staying above/below the basis line (MA) within the outer bands.
✅ Use pullbacks to the inner bands as re-entry points for trend continuation.
✅ Confirm trend strength with momentum indicators like RSI, MACD.
📌 2. Breakout Trading Strategy
✅ Identify a tight consolidation phase within the inner Keltner bands.
✅ Wait for a strong breakout beyond the outer bands.
✅ Enter long/short trades based on breakout direction.
✅ Place stop-loss at the previous inner band to manage risk.
📌 3. Reversal Strategy (Mean Reversion)
✅ When price extends beyond the outer band (Multiplier 2), look for reversal signals (candlestick patterns, RSI divergence).
✅ Enter counter-trend trades with tight stop-loss beyond the band.
✅ Target the moving average (basis line) as take-profit.
🔹 Final Thoughts 💡
The Dual Keltner Channels (DKC) is a powerful upgrade to the standard Keltner Channel, providing:
✅ Greater clarity on trend strength
✅ More precise breakout & reversal signals
✅ Better visual insights for dynamic market conditions
📌 Best Used With: RSI, MACD, Volume Profile, Price Action Signals.
📌 Works on: Stocks, Forex, Crypto, Commodities, Indices.
RSI Multi Alert KrafturRSI Multi Alert Kraftur
Description
The "RSI Multi-Level Signals" indicator is designed to help traders identify potential buy and sell opportunities based on RSI (Relative Strength Index) crossings of multiple customizable levels. Unlike traditional RSI indicators that focus on single overbought/oversold thresholds (e.g., 70/30), this script stands out by offering four distinct buy and sell levels for enhanced flexibility and precision. It plots signals directly on the price chart and provides real-time alerts when RSI crosses these levels, making it a powerful tool for spotting entry and exit points.
Key Features
Multi-Level RSI: Configurable buy levels (e.g., 30, 25, 20, 15) and sell levels (e.g., 70, 75, 80, 85) to capture varying degrees of overbought and oversold conditions.
Visual Signals: Buy signals are marked with circles below the bars, and sell signals above the bars, each color-coded for easy identification.
Real-Time Alerts: Generates alerts once per bar when RSI crosses a level, with a filter to prevent duplicate signals during oscillations.
Customizable: Adjustable RSI length, timeframe, and level colors to suit different trading strategies.
Recommended Usage
This indicator is best used as a scanning tool for finding entry points across multiple assets. Set up alerts for your entire watchlist of coins or stocks to detect when RSI crosses the configured levels in real time. It’s particularly effective in volatile markets or for traders employing multi-timeframe analysis. Combine it with other indicators (e.g., support/resistance or trend filters) to confirm signals and improve accuracy.
How to Use
Apply the indicator to your chart.
Customize the RSI length, timeframe, and signal levels to match your trading style.
Set up alerts for the indicator and apply them to your watchlist of assets.
Monitor the chart for buy (green) and sell (red) signals, or rely on alert notifications.
Perfect for scalpers, swing traders, or anyone looking to automate signal detection across a portfolio!
SuperTrend AI Oscillator StrategySuperTrend AI Oscillator Strategy
Overview
This strategy is a trend-following approach that combines the SuperTrend indicator with oscillator-based filtering.
By identifying market trends while utilizing oscillator-based momentum analysis, it aims to improve entry precision.
Additionally, it incorporates a trailing stop to strengthen risk management while maximizing profits.
This strategy can be applied to various markets, including Forex, Crypto, and Stocks, as well as different timeframes. However, its effectiveness varies depending on market conditions, so thorough testing is required.
Features
1️⃣ Trend Identification Using SuperTrend
The SuperTrend indicator (a volatility-adjusted trend indicator based on ATR) is used to determine trend direction.
A long entry is considered when SuperTrend turns bullish.
A short entry is considered when SuperTrend turns bearish.
The goal is to capture clear trend reversals and avoid unnecessary trades in ranging markets.
2️⃣ Entry Filtering with an Oscillator
The Super Oscillator is used to filter entry signals.
If the oscillator exceeds 50, it strengthens long entries (indicating strong bullish momentum).
If the oscillator drops below 50, it strengthens short entries (indicating strong bearish momentum).
This filter helps reduce trades in uncertain market conditions and improves entry accuracy.
3️⃣ Risk Management with a Trailing Stop
Instead of a fixed stop loss, a SuperTrend-based trailing stop is implemented.
The stop level adjusts automatically based on market volatility.
This allows profits to run while managing downside risk effectively.
4️⃣ Adjustable Risk-Reward Ratio
The default risk-reward ratio is set at 1:2.
Example: A 1% stop loss corresponds to a 2% take profit target.
The ratio can be customized according to the trader’s risk tolerance.
5️⃣ Clear Trade Signals & Visual Support
Green "BUY" labels indicate long entry signals.
Red "SELL" labels indicate short entry signals.
The Super Oscillator is plotted in a separate subwindow to visually assess trend strength.
A real-time trailing stop is displayed to support exit strategies.
These visual aids make it easier to identify entry and exit points.
Trading Parameters & Considerations
Initial Account Balance: Default is $7,000 (adjustable).
Base Currency: USD
Order Size: 10,000 USD
Pyramiding: 1
Trading Fees: $0.94 per trade
Long Position Margin: 50%
Short Position Margin: 50%
Total Trades (M5 Timeframe): 1,032
Visual Aids for Clarity
This strategy includes clear visual trade signals to enhance decision-making:
Green "BUY" labels for long entries
Red "SELL" labels for short entries
Super Oscillator plotted in a subwindow with a 50 midline
Dynamic trailing stop displayed for real-time trend tracking
These visual aids allow traders to quickly identify trade setups and manage positions with greater confidence.
Summary
The SuperTrend AI Oscillator Strategy is developed based on indicators from Black Cat and LuxAlgo.
By integrating high-precision trend analysis with AI-based oscillator filtering, it provides a strong risk-managed trading approach.
Important Notes
This strategy does not guarantee profits—performance varies based on market conditions.
Past performance does not guarantee future results. Markets are constantly changing.
Always test extensively with backtesting and demo trading before using it in live markets.
Risk management, position sizing, and market conditions should always be considered when trading.
Conclusion
This strategy combines trend analysis with momentum filtering, enhancing risk management in trading.
By following market trends carefully, making precise entries, and using trailing stops, it seeks to reduce risk while maximizing potential profits.
Before using this strategy, be sure to test it thoroughly via backtesting and demo trading, and adjust the settings to match your trading style.
[GYTS] Filters ToolkitFilters Toolkit indicator
🌸 Part of GoemonYae Trading System (GYTS) 🌸
🌸 --------- 1. INTRODUCTION --------- 🌸
💮 Overview
The GYTS Filters Toolkit indicator is an advanced, interactive interface built atop the high‐performance, curated functions provided by the FiltersToolkit library . It allows traders to experiment with different combinations of filtering methods -— from smoothing low-pass filters to aggressive detrenders. With this toolkit, you can build custom indicators tailored to your specific trading strategy, whether you're looking for trend following, mean reversion, or cycle identification approaches.
🌸 --------- 2. FILTER METHODS AND TYPES --------- 🌸
💮 Filter categories
The available filters fall into four main categories, each marked with a distinct symbol:
🌗 Low Pass Filters (Smoothers)
These filters attenuate high-frequency components (noise) while allowing low-frequency components (trends) to pass through. Examples include:
Ultimate Smoother
Super Smoother (2-pole and 3-pole variants)
MESA Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA)
BiQuad Low Pass Filter
ADXvma (Adaptive Directional Volatility Moving Average)
A2RMA (Adaptive Autonomous Recursive Moving Average)
Low pass filters are displayed on the price chart by default, as they follow the overall price movement. If they are combined with a high-pass or bandpass filter, they will be displayed in the subgraph.
🌓 High Pass Filters (Detrenders)
These filters do the opposite of low pass filters - they remove low-frequency components (trends) while allowing high-frequency components to pass through. Examples include:
Butterworth High Pass Filter
BiQuad High Pass Filter
High pass filters are displayed as oscillators in the subgraph below the price chart, as they fluctuate around a zero line.
🌑 Band Pass Filters (Cycle Isolators)
These filters combine aspects of both low and high pass filters, isolating specific frequency ranges while attenuating both higher and lower frequencies. Examples include:
Ehlers Bandpass Filter
Cyber Cycle
Relative Vigor Index (RVI)
BiQuad Bandpass Filter
Band pass filters are also displayed as oscillators in a separate panel.
🔮 Predictive Filter
Voss Predictive Filter: A special filter that attempts to predict future values of band-limited signals (only to be used as post-filter). Keep its prediction horizon short (1–3 bars) for reasonable accuracy.
Note that the the library contains elaborate documentation and source material of each filter.
🌸 --------- 3. INDICATOR FEATURES --------- 🌸
💮 Multi-filter configuration
One of the most powerful aspects of this indicator is the ability to configure multiple filters. compare them and observe their combined effects. There are four primary filters, each with its own parameter settings.
💮 Post-filtering
Process a filter’s output through an additional filter by enabling the post-filter option. This creates a filter chain where the output of one filter becomes the input to another. Some powerful combinations include:
Ultimate Smoother → MAMA: Creates an adaptive smoothing effect that responds well to market changes, good for trend-following strategies
Butterworth → Super Smoother → Butterworth: Produces a well-behaved oscillator with minimal phase distortion, John Ehlers also calls a "roofing filter". Great for identifying overbought/oversold conditions with minimal lag.
A bandpass filter → Voss Prediction filter: Attempts to predict future movements of cyclical components, handy to find peaks and troughs of the market cycle.
💮 Aggregate filters
Arguably the coolest feature: aggregating filters allow you to combine multiple filters with different weights. Important notes about aggregation:
You can only aggregate filters that appear on the same chart (price chart or oscillator panel).
The weights are automatically normalised, so only their relative values matter
Setting a weight to 0 (zero) excludes that filter from the aggregation
Filters don't need to be visibly displayed to be included in aggregation
💮 Rich visualisation & alerts
The indicator intelligently determines whether a filter is displayed on the price chart or in the subgraph (as an oscillator) based on its characteristics.
Dynamic colour palettes, adjustable line widths, transparency, and custom fill between any of enabled filters or between oscillators and the zero-line.
A clear legend showing which filters are active and how they're configured
Alerts for direction changes and crossovers of all filters
🌸 --------- 4. ACKNOWLEDGEMENTS --------- 🌸
This toolkit builds on the work of numerous pioneers in technical analysis and digital signal processing:
John Ehlers, whose groundbreaking research forms the foundation of many filters.
Robert Bristow-Johnson for the BiQuad filter formulations.
The TradingView community, especially @The_Peaceful_Lizard, @alexgrover, and others mentioned in the code of the library.
Everyone who has provided feedback, testing and support!
[TehThomas] - MA Cross with DisplacementThis TradingView script, "MA Cross with Displacement," is designed to detect potential long and short trade opportunities based on moving average (MA) crossovers combined with price displacement confirmation. The script utilizes two simple moving averages (SMA) and highlights potential trade signals when a crossover occurs alongside a strong price movement (displacement).
Why This Indicator is Useful
This indicator enhances the standard moving average crossover strategy by incorporating a displacement condition, making trade signals more reliable. Many traders rely on moving average crossovers to determine trend reversals, but false signals often occur due to minor price fluctuations. By requiring a significant price movement (displacement), this indicator helps filter out weak or insignificant crossovers, leading to more high-probability trade opportunities.
How It Works
Calculates Two Moving Averages (MA)
The user can set two different MA periods:
MA 1 (blue line): Default period is 9 (shorter-term trend).
MA 2 (red line): Default period is 21 (longer-term trend).
These moving averages smooth out price fluctuations to identify overall trends.
Detects Crossovers
Bullish crossover: The blue MA crosses above the red MA + displacement candle → Potential long signal.
Example of bullish cross with displacement:
Bearish crossover: The blue MA crosses below the red MA + displacement candle → Potential short signal.
Example of bearish cross with displacement:
Confirms Displacement (Strong Price Move)
A price displacement threshold is used (default: 1.1% of the previous candle size).
For a valid trade signal, a crossover must occur alongside a strong price movement.
Bullish Displacement Condition: Price increased by more than the threshold.
Bearish Displacement Condition: Price decreased by more than the threshold.
Visual Indicators on the Chart
Bars are colored green when there is a bullish displacement.
Bars are colored red when there is a bearish displacement.
These color changes help traders quickly identify potential trade setups.
How to Use the Indicator
Add the Script to Your Chart
Copy and paste the script into TradingView's Pine Script Editor.
Click "Add to Chart" to activate it.
Customize the Settings
Adjust the moving average periods to fit your trading strategy.
Modify the displacement threshold based on market volatility.
Change the bar colors for better visualization.
Look for Trade Signals
Long Trade (Buy Signal)
The blue MA crosses above the red MA (bullish crossover).
A green bar appears, confirming bullish displacement.
Short Trade (Sell Signal)
The blue MA crosses below the red MA (bearish crossover).
A red bar appears, confirming bearish displacement.
Use in Conjunction with Other Indicators
This indicator works best when combined with support & resistance levels, RSI, MACD, or volume analysis to improve trade accuracy.
Final Thoughts
The MA Cross with Displacement Indicator improves the reliability of moving average crossovers by requiring strong price movements to confirm a trade signal. This helps traders avoid false breakouts and weak trends, making it a powerful tool for identifying high-probability trades.
__________________________________________
Thanks for your support!
If you found this idea helpful or learned something new, drop a like 👍 and leave a comment—I’d love to hear your thoughts! 🚀
Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈✨
6-Hour Forecast (15m Steps) with Arrowed Lines & 95% CI -BesharaExplanation
Timeframe Conversion:
The helper function converts the chart’s timeframe (e.g., "15", "1H", etc.) into minutes so that the script can determine how many bars correspond to a 15‑minute interval.
Regression & Forecasting:
The script calculates a linear regression over the specified number of bars, approximates the slope, and computes the standard deviation of the residuals for error estimation. Then, for each forecast step (every 15 minutes for 6 hours), it extrapolates the forecast, calculates the 95% confidence interval, and draws red line segments connecting forecast points.
Visualization:
Arrows: At each forecast point, an arrow (▲ for upward, ▼ for downward, or → for unchanged) is drawn to indicate direction.
Confidence Intervals: Dotted orange lines display the 95% confidence interval at each forecast point.
Final Label: A label at the final forecast point shows the predicted price and its confidence interval.
Historical Regression: The blue line represents the historical regression line.
This script is provided for educational purposes only and does not guarantee predictive accuracy. Always use multiple tools and proper risk management in trading.
Precision Order Block FinderPrecision Order Block Finder
This advanced indicator identifies high-probability Order Block patterns with customizable confirmation parameters for increased precision and reliability. Unlike basic Order Block indicators, this tool allows you to specify the exact confirmation criteria needed before marking a pattern as valid.
Key Features:
Detects both bullish and bearish Order Block patterns
Customizable confirmation candle settings (1:3 ratio by default)
Adjustable visual properties including transparency and line styles
Optional price labels for quick reference
Filter options to display only bullish, bearish, or both pattern types
How It Works:
The indicator identifies potential Order Blocks by locating a trigger candle (bearish for bullish patterns, bullish for bearish patterns) followed by your specified number of confirmation candles in the opposite direction. This multi-candle confirmation approach helps filter out false signals and focuses on the most reliable trading opportunities.
Perfect for both swing and intraday traders looking to identify key market turning points with greater accuracy. The visual representation clearly highlights potential entry zones and price targets to streamline your trading decisions.
Adjust the settings to match your trading style and timeframe preferences for optimal results.
Market Structure [ActiveQuants]The Market Structure indicator is a powerful tool designed to help traders identify key market structure shifts and change of character (CHoCH) points. By plotting swing highs, swing lows, and structural breaks , this indicator allows traders to track price action dynamics, improving trade execution and strategy development.
█ KEY FEATURES
Market Structure Visualization : Automatically detects and plots pivot highs and pivot lows , highlighting structural points on the chart.
Change of Character (CHoCH) Detection : Identifies bullish and bearish CHoCH events, marking key shifts in market sentiment.
Customizable Sensitivity : Adjust the pivot sensitivity to fine-tune market structure identification based on different trading styles and timeframes.
Dynamic Labeling & Line Management : Automatically removes old lines and labels to keep the chart clean and focused on recent price action.
User-Defined Display Options : Customize the colors, visibility, and number of bars shown to match your personal trading preferences.
█ CONCLUSION
The Market Structure & CHoCH Indicator is an essential tool for traders who rely on price action and structure-based strategies. By visually mapping key swing points and structure shifts , it enhances decision-making, helping traders align with the market trend and spot potential reversals.
█ IMPORTANT
⚠ CHoCH signals should be used in conjunction with other confluences such as supply & demand zones, order flow, or trend confirmation.
⚠ Adjust pivot sensitivity based on your preferred timeframe and asset class to optimize accuracy.
Incorporate this indicator into your trading workflow to enhance market structure analysis and refine entry & exit strategies .
📈 Happy trading! 🚀
RSI with Bollinger Bands and Buy/Sell SignalsPurpose:
This indicator combines the Relative Strength Index (RSI) with Bollinger Bands to identify overbought and oversold conditions in the market. It also generates buy and sell signals based on the interaction between the RSI and the Bollinger Bands. It is particularly useful for traders looking for opportunities in volatile or trending markets.
How It Works:
RSI (Relative Strength Index):
The RSI measures the magnitude of recent price changes to evaluate whether an asset is overbought (values > 70) or oversold (values < 30).
In this indicator, horizontal lines at levels 70 (overbought) and 30 (oversold) are used as reference points.
Bollinger Bands:
Bollinger Bands are calculated around a smoothed moving average of the RSI. The upper band represents dynamic overbought levels, while the lower band indicates dynamic oversold levels.
These bands automatically adjust their width based on the volatility of the RSI, allowing them to adapt to different market conditions.
Buy and Sell Signals:
Buy Signal: A buy signal is generated when the RSI exceeds both the upper Bollinger Band and the overbought level (70). This suggests that the asset is in an extreme bullish phase.
Sell Signal: A sell signal is generated when the RSI falls below both the lower Bollinger Band and the oversold level (30). This suggests that the asset is in an extreme bearish phase.
Alerts:
The indicator includes automatic alerts to notify you when buy or sell signals are generated. This allows traders to act quickly on new opportunities.
Best Practices:
Confirmation in Lower Timeframes:
Although this indicator is powerful, it is recommended to confirm signals in lower timeframes before making trading decisions. For example:
If you receive a buy signal on a 4-hour chart, check if the RSI and Bollinger Bands on lower timeframes (such as 1 hour or 15 minutes) also show bullish signals.
This reduces the risk of false positives and increases the accuracy of your entries.
Use in Trends:
This indicator works best in markets with clear trends. In sideways or low-volatility markets, signals may be less reliable due to the lack of directional momentum.
Risk Management:
Always use stop-loss and take-profit to protect your positions. Buy and sell signals are just one tool for analysis; they do not guarantee results.
Combination with Other Indicators:
To improve accuracy, consider combining this indicator with others, such as MACD, Stochastic Oscillator, or Japanese candlestick patterns. This can provide additional confirmation before opening a position.
Summary:
The RSI + Bollinger Bands with Buy/Sell Signals indicator is an advanced tool designed to identify entry and exit points in the market based on extreme overbought and oversold conditions. However, to maximize its effectiveness, it is crucial to confirm signals in lower timeframes and use it in combination with other technical analysis tools. With proper risk management and careful interpretation of signals, this indicator can be a valuable ally in your trading strategy.
Indicator BMS V5 [Traderhood]Introducing BMS (Base Market Strategy)
Overview
Base Market Strategy (BMS) is a trend-following and oscillator indicator designed to detect market trends with high accuracy while providing clear entry signals. BMS utilizes four Exponential Moving Averages (EMA) to filter trends across multiple timeframes and Bollinger Bands (BB) to identify overbought and oversold zones. This approach makes BMS highly suitable for scalping strategies in lower timeframes with a high win rate potential.
Key Features
📈 Multi-EMA Trend Filtering
Uses 4 EMAs to confirm the dominant trend.
Separates trend detection between lower timeframes and H1 for additional validation.
🎯 Dynamic Overbought & Oversold Detection
Sell signal occurs when the price touches the Bollinger Bands Upper.
Buy signal occurs when the price touches the Bollinger Bands Lower.
🔥 High Win Rate Scalping Strategy
Designed to capture quick price movements in trending markets.
Ideal for traders looking for fast executions with controlled risk.
🎨 Customizable Visual Enhancements
Users can adjust indicator colors to match their personal preferences.
How It Works
1️⃣ EMA-Based Trend Identification
The indicator applies 4 EMAs to determine short-term and medium-term trends.
If the price is above all EMAs → Bullish trend.
If the price is below all EMAs → Bearish trend.
2️⃣ Bollinger Bands Signal Generation
Sell Entry: When the price touches Bollinger Bands Upper, indicating an overbought area.
Buy Entry: When the price touches Bollinger Bands Lower, indicating an oversold area.
3️⃣ Scalping Execution
Entries are executed only on lower timeframes with trend confirmation from H1 EMA.
Profit targets are adjusted based on volatility, while stop loss is placed outside the Bollinger Bands.
4️⃣ Visual Customization
Indicator colors can be modified for better visibility.
Practical Applications
✅ Scalping Strategy – Uses Bollinger Bands and EMA filtering for fast trades.
✅ Trend Confirmation – Multi-timeframe EMA validation ensures precise entries.
✅ Dynamic Support & Resistance – Bollinger Bands help identify potential reversals.
✅ Noise Reduction – EMA filtering removes minor price fluctuations for clearer signals.
🛠 Settings
EMA Periods: 4 EMAs for trend filtering.
Bollinger Bands Length: 20 (default), adjustable.
Bollinger Bands Deviation: 2 (default).
Color Customization: Users can personalize indicator colors as needed.
📌 Conclusion
Base Market Strategy (BMS) is a high win-rate scalping indicator, combining trend-following EMA filtering with momentum reversal detection from Bollinger Bands. With a dynamic and adaptive approach, this indicator provides precise entry signals while reducing noise from insignificant price movements.
Key Takeaways:
✔ High Accuracy – A combination of EMA and Bollinger Bands provides clear signals.
✔ Scalping Optimization – Works best on lower timeframes with H1 validation.
✔ Visual Customization – Users can adjust the indicator colors to their preference.
✔ Simple Yet Powerful – Easy to use but highly effective in capturing market opportunities.
🔹 Disclaimer: Trading carries high risks. Always backtest and optimize settings to align with your risk tolerance before live trading.
RSI Divergence[UgurTash] – Real-Time📈 RSI Divergence – Real-Time, Adaptive, and Intelligent RSI Divergence Detection
🚀 What Does This Indicator Do?
RSI Divergence is a real-time divergence detection tool that helps traders identify bullish and bearish divergences between price and the Relative Strength Index (RSI). Unlike traditional RSI-based indicators, this script offers:
✅ Real-time detection – No need to wait for bar closes or repainting.
✅ Dynamic time-frame adaptation – The script automatically adjusts RSI settings based on the selected chart time frame.
✅ Multi-layered divergence analysis – Supports short-term, medium-term, and long-term divergence detection with an optional all-term mode that dynamically selects the best configuration.
🛠 How Does It Work?
Pivot-Based Divergence Detection:
The script analyzes pivot points on both price and RSI to determine valid divergences.
Bullish divergence occurs when price forms a lower low but RSI trends higher, indicating potential upward momentum.
Bearish divergence occurs when price forms a higher high but RSI trends lower, signaling possible weakness.
Adaptive RSI Calculation:
The RSI length is dynamically adjusted based on the chosen time frame:
Short-Term: RSI (7) for 1-5 min charts.
Medium-Term: RSI (14) for 15-60 min charts.
Long-Term: RSI (28) for 4H+ charts.
In All-Term Mode, the script automatically determines the best RSI length based on the active chart timeframe.
Smart Visualization & Alerts:
Bullish divergences are marked with green lines & labels.
Bearish divergences are highlighted in red.
Users can customize symbol size, divergence labels, and colors.
Instant alerts notify traders as soon as a divergence is detected.
🎯 How to Use This Indicator?
📌 For Trend Reversals: Look for bullish divergences at key support levels and bearish divergences at resistance zones.
📌 For Trend Continuation: Combine divergence signals with moving averages, volume analysis, or price action strategies to confirm trades.
📌 For Scalping & Swing Trading: Adjust the time-frame settings to match your trading style.
🏆 What Makes This Indicator Original?
🔹 Unlike standard RSI divergence indicators, this script features real-time analysis with no repainting, allowing for instant trading decisions.
🔹 The time-frame adaptive RSI makes it dynamic and suitable for any market condition.
🔹 The multi-term divergence detection offers flexibility, giving traders a precise view of both short-term & long-term market structure.
⚠ Note: No indicator guarantees 100% accuracy. Always use additional confirmations and sound risk management strategies.
If you find this tool useful, don’t forget to support & share! 🚀
AO/AC Trading Zones Strategy [Skyrexio] Overview
AO/AC Trading Zones Strategy leverages the combination of Awesome Oscillator (AO), Acceleration/Deceleration Indicator (AC), Williams Fractals, Williams Alligator and Exponential Moving Average (EMA) to obtain the high probability long setups. Moreover, strategy uses multi trades system, adding funds to long position if it considered that current trend has likely became stronger. Combination of AO and AC is used for creating so-called trading zones to create the signals, while Alligator and Fractal are used in conjunction as an approximation of short-term trend to filter them. At the same time EMA (default EMA's period = 100) is used as high probability long-term trend filter to open long trades only if it considers current price action as an uptrend. More information in "Methodology" and "Justification of Methodology" paragraphs. The strategy opens only long trades.
Unique Features
No fixed stop-loss and take profit: Instead of fixed stop-loss level strategy utilizes technical condition obtained by Fractals and Alligator to identify when current uptrend is likely to be over. In some special cases strategy uses AO and AC combination to trail profit (more information in "Methodology" and "Justification of Methodology" paragraphs)
Configurable Trading Periods: Users can tailor the strategy to specific market windows, adapting to different market conditions.
Multilayer trades opening system: strategy uses only 10% of capital in every trade and open up to 5 trades at the same time if script consider current trend as strong one.
Short and long term trend trade filters: strategy uses EMA as high probability long-term trend filter and Alligator and Fractal combination as a short-term one.
Methodology
The strategy opens long trade when the following price met the conditions:
1. Price closed above EMA (by default, period = 100). Crossover is not obligatory.
2. Combination of Alligator and Williams Fractals shall consider current trend as an upward (all details in "Justification of Methodology" paragraph)
3. Both AC and AO shall print two consecutive increasing values. At the price candle close which corresponds to this condition algorithm opens the first long trade with 10% of capital.
4. If combination of Alligator and Williams Fractals shall consider current trend has been changed from up to downtrend, all long trades will be closed, no matter how many trades has been opened.
5. If AO and AC both continue printing the rising values strategy opens the long trade on each candle close with 10% of capital while number of opened trades reaches 5.
6. If AO and AC both has printed 5 rising values in a row algorithm close all trades if candle's low below the low of the 5-th candle with rising AO and AC values in a row.
Script also has additional visuals. If second long trade has been opened simultaneously the Alligator's teeth line is plotted with the green color. Also for every trade in a row from 2 to 5 the label "Buy More" is also plotted just below the teeth line. With every next simultaneously opened trade the green color of the space between teeth and price became less transparent.
Strategy settings
In the inputs window user can setup strategy setting:
EMA Length (by default = 100, period of EMA, used for long-term trend filtering EMA calculation).
User can choose the optimal parameters during backtesting on certain price chart.
Justification of Methodology
Let's explore the key concepts of this strategy and understand how they work together. We'll begin with the simplest: the EMA.
The Exponential Moving Average (EMA) is a type of moving average that assigns greater weight to recent price data, making it more responsive to current market changes compared to the Simple Moving Average (SMA). This tool is widely used in technical analysis to identify trends and generate buy or sell signals. The EMA is calculated as follows:
1.Calculate the Smoothing Multiplier:
Multiplier = 2 / (n + 1), Where n is the number of periods.
2. EMA Calculation
EMA = (Current Price) × Multiplier + (Previous EMA) × (1 − Multiplier)
In this strategy, the EMA acts as a long-term trend filter. For instance, long trades are considered only when the price closes above the EMA (default: 100-period). This increases the likelihood of entering trades aligned with the prevailing trend.
Next, let’s discuss the short-term trend filter, which combines the Williams Alligator and Williams Fractals. Williams Alligator
Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
Fractals, another tool by Bill Williams, help identify potential reversal points on a price chart. A fractal forms over at least five consecutive bars, with the middle bar showing either:
Up Fractal: Occurs when the middle bar has a higher high than the two preceding and two following bars, suggesting a potential downward reversal.
Down Fractal: Happens when the middle bar shows a lower low than the surrounding two bars, hinting at a possible upward reversal.
Traders often use fractals alongside other indicators to confirm trends or reversals, enhancing decision-making accuracy.
How do these tools work together in this strategy? Let’s consider an example of an uptrend.
When the price breaks above an up fractal, it signals a potential bullish trend. This occurs because the up fractal represents a shift in market behavior, where a temporary high was formed due to selling pressure. If the price revisits this level and breaks through, it suggests the market sentiment has turned bullish.
The breakout must occur above the Alligator’s teeth line to confirm the trend. A breakout below the teeth is considered invalid, and the downtrend might still persist. Conversely, in a downtrend, the same logic applies with down fractals.
In this strategy if the most recent up fractal breakout occurs above the Alligator's teeth and follows the last down fractal breakout below the teeth, the algorithm identifies an uptrend. Long trades can be opened during this phase if a signal aligns. If the price breaks a down fractal below the teeth line during an uptrend, the strategy assumes the uptrend has ended and closes all open long trades.
By combining the EMA as a long-term trend filter with the Alligator and fractals as short-term filters, this approach increases the likelihood of opening profitable trades while staying aligned with market dynamics.
Now let's talk about the trading zones concept and its signals. To understand this we need to briefly introduce what is AO and AC. The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Acceleration/Deceleration (AC) Indicator, introduced by Bill Williams, measures the rate of change in market momentum. It highlights shifts in the driving force of price movements and helps traders spot early signs of trend changes. The AC Indicator is particularly useful for identifying whether the current momentum is accelerating or decelerating, which can indicate potential reversals or continuations. For AC calculation we shall use the AO calculated above is the following formula:
AC = AO − SMA5(AO) , where SMA5(AO)is the 5-period Simple Moving Average of the Awesome Oscillator
When the AC is above the zero line and rising, it suggests accelerating upward momentum.
When the AC is below the zero line and falling, it indicates accelerating downward momentum.
When the AC is below zero line and rising it suggests the decelerating the downtrend momentum. When AC is above the zero line and falling, it suggests the decelerating the uptrend momentum.
Now let's discuss the trading zones concept and how it can create the signal. Zones are created by the combination of AO and AC. We can divide three zone types:
Greed zone: when the AO and AC both are rising
Red zone: when the AO and AC both are decreasing
Gray zone: when one of AO or AC is rising, the other is falling
Gray zone is considered as uncertainty. AC and AO are moving in the opposite direction. Strategy skip such price action to decrease the chance to stuck in the losing trade during potential sideways. Red zone is also not interesting for the algorithm because both indicators consider the trend as bearish, but strategy opens only long trades. It is waiting for the green zone to increase the chance to open trade in the direction of the potential uptrend. When we have 2 candles in a row in the green zone script executes a long trade with 10% of capital.
Two green zone candles in a row is considered by algorithm as a bullish trend, but now so strong, that's the reason why trade is going to be closed when the combination of Alligator and Fractals will consider the the trend change from bullish to bearish. If id did not happens, algorithm starts to count the green zone candles in a row. When we have 5 in a row script change the trade closing condition. Such situation is considered is a high probability strong bull market and all trades will be closed if candle's low will be lower than fifth green zone candle's low. This is used to increase probability to secure the profit. If long trades are initiated, the strategy continues utilizing subsequent signals until the total number of trades reaches a maximum of 5. Each trade uses 10% of capital.
Why we use trading zones signals? If currently strategy algorithm considers the high probability of the short-term uptrend with the Alligator and Fractals combination pointed out above and the long-term trend is also suggested by the EMA filter as bullish. Rising AC and AO values in the direction of the most likely main trend signaling that we have the high probability of the fastest bullish phase on the market. The main idea is to take part in such rapid moves and add trades if this move continues its acceleration according to indicators.
Backtest Results
Operating window: Date range of backtests is 2023.01.01 - 2024.12.31. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Percent of capital used in every trade: 10%
Maximum Single Position Loss: -9.49%
Maximum Single Profit: +24.33%
Net Profit: +4374.70 USDT (+43.75%)
Total Trades: 278 (39.57% win rate)
Profit Factor: 2.203
Maximum Accumulated Loss: 668.16 USDT (-5.43%)
Average Profit per Trade: 15.74 USDT (+1.37%)
Average Trade Duration: 60 hours
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart (optimal performance observed on 4h BTC/USDT).
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
The Ultimate Lot Size Calculator Backstory
I created this Pine Script tool to calculate lot sizes with precision. While there are many lot size calculators available on TradingView, I found that most had significant flaws. I started teaching myself Pine Script over three and a half years ago with the sole purpose of building this tool. My first version was messy and lacked accuracy, so I never published it. I wanted it to be better than any other available tool, but my limited knowledge back then held me back.
Recently, I received a request to create a similar tool, as the current options still fail to deliver the precision and reliability traders need. This inspired me to revisit my original idea. With improved skills and a better understanding of Pine Script, I redesigned the tool from scratch, making it as precise, reliable, and efficient as possible.
This tool features built-in error detection to minimize mistakes and ensure accuracy in lot size calculations. I've spent more time on this project than on any other, focusing on delivering a solution that stands out on TradingView. While I plan to add more features based on user feedback, the current version is already a powerful, dependable, and easy-to-use tool for traders who value precision and efficiency in their lot size calculations.
How to use the tool ?
At first it might seem complicated, but it is quite easy to use the tool. There are two modes: auto and manual. By default, the tool is set on manual mode. When you apply the tool on the chart, it will ask you to choose the entry price, then the stop-loss price, and at last the take-profit price. Select all of them one by one. These values can be changed later.
Settings
There are various setting given for making the tool as flexible as possible. Here is the explanation for some of most important settings. Play with them and make yourself comfortable.
General settings
Auto mode : Use this mode if you want the the risk reward to be fixed and stop loss to be based on ATR. However the stop loss can be changed to be based on user input.
Manual mode : Use this mode if you want full control over entry, stop loss and take profit.
Contract Size : The tool works perfectly for all forex pairs including gold and silver but as the contract size is different for different assets it is difficult to add every single asset into the script manually so i have provided this option. In case you want to calculate lot size for a asset other then forex, gold or silver make sure to change this. Contract size = Quantity of the asset in 1 standerd lot.
Account settings
Automatic mode settings and ATR stop settings
Manual mode settings
Table and risk-reward box settings are pretty much self-explanatory i guess.
Error handling
A lot size calculator is a complex program. There are numerous points where it may fail and produce incorrect results. To make it robust and accurate, these issues must be addressed and managed properly, which practically all existing lot size calculator scripts fail to do.
Golden tip
When the symbol is changed it will display a symbol change warning as the entry, stop loss and take profit price won't change.
There are 2 ways to get fix this. Either manually enter all three values which i hate the most or remove the script from the chart and re-apply the script on chart again.
So to re-apply the indicator in most easy way follow the following instructions:
Note : If you encounter any other error then read the instruction to fix it and if it is an unknow error pleas report it to me in comments or DM.
Volume Delta with Custom Colors and Min Delta Input### Indicator Description: **Volume Delta with Custom Colors and Min Delta Input**
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Volume Delta with Custom Colors and Min Delta Input is a powerful and flexible indicator for analyzing volume delta (the difference between buying and selling volume) on TradingView charts. This indicator visualizes volume delta with customizable colors and allows filtering based on a minimum delta value. It is an ideal tool for traders who want to gain deeper insights into market activity and identify significant volume changes.
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### Key Features:
Volume Delta Visualization:
- The indicator displays volume delta as candlesticks, where:
- Green candles indicate positive delta (buying volume dominance).
- Red candles indicate negative delta (selling volume dominance).
Customizable Colors:
- Users can choose their preferred colors for positive and negative delta to tailor the indicator to their preferences.
Minimum Delta Volume Filter:
- Added functionality to set a minimum delta volume threshold. This helps ignore insignificant volume changes and focus on important movements.
Flexible Timeframe Selection:
- The indicator supports analyzing volume delta on a different timeframe than the current chart. For example, you can analyze hourly volume delta on a daily chart.
Adaptive Settings:
- Users can configure the moving average (SMA) period and standard deviation multiplier to calculate the delta threshold.
---
### How to Use the Indicator:
Add the Indicator to Your Chart:
- Search for the indicator in the TradingView library and add it to your chart.
Configure the Settings:
- Positive Delta Bar Color: Choose the color for bars with positive delta.
- Negative Delta Bar Color: Choose the color for bars with negative delta.
- Minimum Delta Volume: Set the minimum delta volume value to be displayed.
- Use Custom Timeframe: Enable if you want to analyze volume on a different timeframe.
- Timeframe: Specify the desired timeframe for volume analysis (e.g., "1H" for hourly).
- SMA Period: Set the moving average period for delta calculation.
- Delta Multiplier: Adjust the standard deviation multiplier to fine-tune the delta threshold.
Analyze the Chart:
- Green candles indicate buying volume dominance, while red candles indicate selling volume dominance.
- Use the minimum delta volume filter to focus on significant movements.
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### Benefits of the Indicator:
Flexibility: Customizable colors, timeframe selection, and filtering make the indicator versatile for various trading strategies.
Clarity: Volume delta visualization as candlesticks allows for quick assessment of market activity.
Noise Reduction: The minimum delta volume filter helps ignore insignificant changes and focus on important movements.
---
### Example Use Cases:
For Scalping: Use a minute timeframe and set a minimum delta volume filter to identify short-term volume anomalies.
For Long-Term Trading: Analyze volume delta on daily or weekly timeframes to identify key support and resistance levels.
---
### Recommendations:
Use the indicator in combination with other technical analysis tools (e.g., support/resistance levels or trendlines) to improve signal accuracy.
Experiment with the settings to adapt the indicator to your trading strategies.
---
Volume Delta with Custom Colors and Min Delta Input is an essential tool for traders who want to gain a deeper understanding of market dynamics and make more informed trading decisions. Try it out today and see its effectiveness for yourself!
Multi-Moving Average Buy/Sell IndicatorThis Multi-Moving Average Buy/Sell Indicator is a powerful and customizable tool designed to help traders identify potential buy and sell signals based on the interaction between price and multiple moving averages. Whether you're a day trader, swing trader, or long-term investor, this indicator provides clear visual cues and alerts to help you make informed trading decisions.
Key Features
1. Multiple Moving Averages
The indicator calculates four key moving averages:
9-period MA
20-period MA
50-period MA
180-period MA
You can choose the type of moving average:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
2. Custom Timeframe
Select a custom timeframe from a user-friendly dropdown menu:
1 Minute
5 Minutes
15 Minutes
30 Minutes
1 Hour
4 Hours
Daily
Weekly
The indicator dynamically adjusts to the selected timeframe, making it suitable for all trading styles.
3. Buy/Sell Signals
Buy Signal: Triggered when the price crosses above any of the moving averages.
Sell Signal: Triggered when the price crosses below any of the moving averages.
Signals are displayed as labels on the chart:
Green "BUY" Label: Below the bar when a buy signal is triggered.
Red "SELL" Label: Above the bar when a sell signal is triggered.
4. Visualization
Toggle the visibility of all moving averages using the showAllMAs input.
Moving averages are plotted with distinct colors for easy identification:
9 MA: Blue
20 MA: Orange
50 MA: Purple
180 MA: Teal
5. Alerts
The indicator generates alerts for buy and sell signals, which can be used for notifications or automated trading.
How to Use
Add the Indicator:
Open TradingView and go to the Pine Script Editor.
Copy and paste the script into the editor.
Click Add to Chart.
Configure Inputs:
maType: Choose the type of moving average (SMA, EMA, WMA).
timeframe: Select a custom timeframe (e.g., "1 Minute", "Daily").
showSignals: Toggle to show or hide buy/sell signals.
showAllMAs: Toggle to show or hide all moving averages.
Interpret the Signals:
Look for green "BUY" labels below the bars for potential buy opportunities.
Look for red "SELL" labels above the bars for potential sell opportunities.
Set Alerts:
Use the built-in alert system to get notified when buy or sell signals are triggered.
Example Use Cases
Day Trading
Use a 1-minute or 5-minute timeframe with an EMA for quick signals.
Example Inputs:
maType = "EMA"
timeframe = "5 Minutes"
showAllMAs = true
Swing Trading
Use a daily timeframe with an SMA for longer-term signals.
Example Inputs:
maType = "SMA"
timeframe = "Daily"
showAllMAs = false
Why Use This Indicator?
Versatility: Suitable for all trading styles and timeframes.
Customization: Choose your preferred moving average type and timeframe.
Clear Signals: Easy-to-read buy/sell labels and moving averages.
Alerts: Never miss a trading opportunity with built-in alerts.
Limitations
False Signals:
The indicator may generate false signals in choppy or sideways markets. Always combine it with other tools (e.g., RSI, volume analysis) for better accuracy.
Timeframe Dependency:
The effectiveness of the signals depends on the selected timeframe. Shorter timeframes may produce more signals but with higher noise.
No Backtesting:
The script does not include backtesting functionality. Test the strategy manually on historical data.
Customization Options
Add More Moving Averages: Modify the script to include additional moving averages (e.g., 200 MA).
Change Signal Logic: Adjust the conditions for buy/sell signals (e.g., require confirmation from multiple moving averages).
Add Alerts for Specific MAs: Create separate alerts for signals based on specific moving averages (e.g., only 9 MA or 50 MA).
MTF Signal XpertMTF Signal Xpert – Detailed Description
Overview:
MTF Signal Xpert is a proprietary, open‑source trading signal indicator that fuses multiple technical analysis methods into one cohesive strategy. Developed after rigorous backtesting and extensive research, this advanced tool is designed to deliver clear BUY and SELL signals by analyzing trend, momentum, and volatility across various timeframes. Its integrated approach not only enhances signal reliability but also incorporates dynamic risk management, helping traders protect their capital while navigating complex market conditions.
Detailed Explanation of How It Works:
Trend Detection via Moving Averages
Dual Moving Averages:
MTF Signal Xpert computes two moving averages—a fast MA and a slow MA—with the flexibility to choose from Simple (SMA), Exponential (EMA), or Hull (HMA) methods. This dual-MA system helps identify the prevailing market trend by contrasting short-term momentum with longer-term trends.
Crossover Logic:
A BUY signal is initiated when the fast MA crosses above the slow MA, coupled with the condition that the current price is above the lower Bollinger Band. This suggests that the market may be emerging from a lower price region. Conversely, a SELL signal is generated when the fast MA crosses below the slow MA and the price is below the upper Bollinger Band, indicating potential bearish pressure.
Recent Crossover Confirmation:
To ensure that signals reflect current market dynamics, the script tracks the number of bars since the moving average crossover event. Only crossovers that occur within a user-defined “candle confirmation” period are considered, which helps filter out outdated signals and improves overall signal accuracy.
Volatility and Price Extremes with Bollinger Bands
Calculation of Bands:
Bollinger Bands are calculated using a 20‑period simple moving average as the central basis, with the upper and lower bands derived from a standard deviation multiplier. This creates dynamic boundaries that adjust according to recent market volatility.
Signal Reinforcement:
For BUY signals, the condition that the price is above the lower Bollinger Band suggests an undervalued market condition, while for SELL signals, the price falling below the upper Bollinger Band reinforces the bearish bias. This volatility context adds depth to the moving average crossover signals.
Momentum Confirmation Using Multiple Oscillators
RSI (Relative Strength Index):
The RSI is computed over 14 periods to determine if the market is in an overbought or oversold state. Only readings within an optimal range (defined by user inputs) validate the signal, ensuring that entries are made during balanced conditions.
MACD (Moving Average Convergence Divergence):
The MACD line is compared with its signal line to assess momentum. A bullish scenario is confirmed when the MACD line is above the signal line, while a bearish scenario is indicated when it is below, thus adding another layer of confirmation.
Awesome Oscillator (AO):
The AO measures the difference between short-term and long-term simple moving averages of the median price. Positive AO values support BUY signals, while negative values back SELL signals, offering additional momentum insight.
ADX (Average Directional Index):
The ADX quantifies trend strength. MTF Signal Xpert only considers signals when the ADX value exceeds a specified threshold, ensuring that trades are taken in strongly trending markets.
Optional Stochastic Oscillator:
An optional stochastic oscillator filter can be enabled to further refine signals. It checks for overbought conditions (supporting SELL signals) or oversold conditions (supporting BUY signals), thus reducing ambiguity.
Multi-Timeframe Verification
Higher Timeframe Filter:
To align short-term signals with broader market trends, the script calculates an EMA on a higher timeframe as specified by the user. This multi-timeframe approach helps ensure that signals on the primary chart are consistent with the overall trend, thereby reducing false signals.
Dynamic Risk Management with ATR
ATR-Based Calculations:
The Average True Range (ATR) is used to measure current market volatility. This value is multiplied by a user-defined factor to dynamically determine stop loss (SL) and take profit (TP) levels, adapting to changing market conditions.
Visual SL/TP Markers:
The calculated SL and TP levels are plotted on the chart as distinct colored dots, enabling traders to quickly identify recommended exit points.
Optional Trailing Stop:
An optional trailing stop feature is available, which adjusts the stop loss as the trade moves favorably, helping to lock in profits while protecting against sudden reversals.
Risk/Reward Ratio Calculation:
MTF Signal Xpert computes a risk/reward ratio based on the dynamic SL and TP levels. This quantitative measure allows traders to assess whether the potential reward justifies the risk associated with a trade.
Condition Weighting and Signal Scoring
Binary Condition Checks:
Each technical condition—ranging from moving average crossovers, Bollinger Band positioning, and RSI range to MACD, AO, ADX, and volume filters—is assigned a binary score (1 if met, 0 if not).
Cumulative Scoring:
These individual scores are summed to generate cumulative bullish and bearish scores, quantifying the overall strength of the signal and providing traders with an objective measure of its viability.
Detailed Signal Explanation:
A comprehensive explanation string is generated, outlining which conditions contributed to the current BUY or SELL signal. This explanation is displayed on an on‑chart dashboard, offering transparency and clarity into the signal generation process.
On-Chart Visualizations and Debug Information
Chart Elements:
The indicator plots all key components—moving averages, Bollinger Bands, SL and TP markers—directly on the chart, providing a clear visual framework for understanding market conditions.
Combined Dashboard:
A dedicated dashboard displays key metrics such as RSI, ADX, and the bullish/bearish scores, alongside a detailed explanation of the current signal. This consolidated view allows traders to quickly grasp the underlying logic.
Debug Table (Optional):
For advanced users, an optional debug table is available. This table breaks down each individual condition, indicating which criteria were met or not met, thus aiding in further analysis and strategy refinement.
Mashup Justification and Originality
MTF Signal Xpert is more than just an aggregation of existing indicators—it is an original synthesis designed to address real-world trading complexities. Here’s how its components work together:
Integrated Trend, Volatility, and Momentum Analysis:
By combining moving averages, Bollinger Bands, and multiple oscillators (RSI, MACD, AO, ADX, and an optional stochastic), the indicator captures diverse market dynamics. Each component reinforces the others, reducing noise and filtering out false signals.
Multi-Timeframe Analysis:
The inclusion of a higher timeframe filter aligns short-term signals with longer-term trends, enhancing overall reliability and reducing the potential for contradictory signals.
Adaptive Risk Management:
Dynamic stop loss and take profit levels, determined using ATR, ensure that the risk management strategy adapts to current market conditions. The optional trailing stop further refines this approach, protecting profits as the market evolves.
Quantitative Signal Scoring:
The condition weighting system provides an objective measure of signal strength, giving traders clear insight into how each technical component contributes to the final decision.
How to Use MTF Signal Xpert:
Input Customization:
Adjust the moving average type and period settings, ATR multipliers, and oscillator thresholds to align with your trading style and the specific market conditions.
Enable or disable the optional stochastic oscillator and trailing stop based on your preference.
Interpreting the Signals:
When a BUY or SELL signal appears, refer to the on‑chart dashboard, which displays key metrics (e.g., RSI, ADX, bullish/bearish scores) along with a detailed breakdown of the conditions that triggered the signal.
Review the SL and TP markers on the chart to understand the associated risk/reward setup.
Risk Management:
Use the dynamically calculated stop loss and take profit levels as guidelines for setting your exit points.
Evaluate the provided risk/reward ratio to ensure that the potential reward justifies the risk before entering a trade.
Debugging and Verification:
Advanced users can enable the debug table to see a condition-by-condition breakdown of the signal generation process, helping refine the strategy and deepen understanding of market dynamics.
Disclaimer:
MTF Signal Xpert is intended for educational and analytical purposes only. Although it is based on robust technical analysis methods and has undergone extensive backtesting, past performance is not indicative of future results. Traders should employ proper risk management and adjust the settings to suit their financial circumstances and risk tolerance.
MTF Signal Xpert represents a comprehensive, original approach to trading signal generation. By blending trend detection, volatility assessment, momentum analysis, multi-timeframe alignment, and adaptive risk management into one integrated system, it provides traders with actionable signals and the transparency needed to understand the logic behind them.
SL Hunting Detector📌 Step 1: Identify Liquidity Zones
The script plots high-liquidity zones (red) and low-liquidity zones (green).
These are areas where big players target stop-losses before reversing the price.
Example:
If price is near a red liquidity zone, expect a potential stop-loss hunt & reversal downward.
If price is near a green liquidity zone, expect a potential stop-loss hunt & reversal upward.
📌 Step 2: Watch for Stop-Loss Hunts (Fakeouts)
The indicator marks stop-loss hunts with red (bearish) or green (bullish) arrows.
When do stop-loss hunts occur?
✅ A long wick below support (with high volume) = Stop hunt before reversal upward.
✅ A long wick above resistance (with high volume) = Stop hunt before reversal downward.
Confirmation:
Volume must spike (volume > 1.5x the average volume).
ATR-based wicks must be longer than usual (showing a stop-hunt trap).
📌 Step 3: Enter a Trade After a Stop-Hunt
🔹 Bullish Trade (Buying a Dip)
If a green arrow appears (stop-hunt below support):
✅ Enter a long (buy) trade at or just above the wick’s recovery level.
✅ Stop-loss: Below the wick’s low (avoid getting hunted again).
✅ Take-profit: Next resistance level or mid-range of the liquidity zone.
🔹 Bearish Trade (Shorting a Fakeout)
If a red arrow appears (stop-hunt above resistance):
✅ Enter a short (sell) trade at or just below the wick’s rejection level.
✅ Stop-loss: Above the wick’s high (avoid getting stopped out).
✅ Take-profit: Next support level or mid-range of the liquidity zone.
📌 Step 4: Set Alerts & Automate
✅ The indicator triggers alerts when a stop-hunt is detected.
✅ You can set TradingView to notify you instantly when:
A bullish stop-hunt occurs → Look for long entry.
A bearish stop-hunt occurs → Look for short entry.
📌 Example Trade Setup
Example (BTC Long Trade on Stop-Hunt)
BTC is near $40,000 support (green liquidity zone).
A long wick drops to $39,800 with a green arrow (bullish stop-hunt signal).
Volume spikes, and price recovers quickly back above $40,000.
Trade entry: Buy at $40,050.
Stop-loss: Below wick ($39,700).
Take-profit: $41,500 (next resistance).
Result: BTC pumps, stop-loss remains safe, and trade profits.
🔥 Final Tips
Always wait for confirmation (don’t enter blindly on signals).
Use higher timeframes (15m, 1H, 4H) for better accuracy.
Combine with Order Flow tools (like Bookmap) to see real liquidity zones.
🚀 Now try it on TradingView! Let me know if you need adjustments. 📈🔥
