Bull vs Bear Volume(Simplified)Bull vs Bear Volume
After experimenting with countless volume-based indicators, I sought a simple way to visualize buying and selling pressure with just two lines—an indicator that stays closely coupled with price action.
I went through endless trial and error, building extremely complex volume indicators, only to find that in live trading, errors kept arising and the tools became more hindrance than help. Yet, to enhance the reliability of price indicators, a trustworthy volume measure is indispensable. Even after testing numerous community-shared indicators, I could not find one that met my needs.
This led me to a simple idea: process volume only when Close > Open for buying pressure, and Close < Open for selling pressure, while cleaning out the noise. By reflecting only the volume contributing to price movement, the indicator remains stable and intuitive.
Implementing this concept, I created an indicator that, among countless volume tools, stands out for its clarity and lack of extraneous functions. Users can freely adjust the sum periods of the Bull and Bear lines, choose line styles, and even enjoy the dynamic color changes when the lines cross.
If this indicator can provide even a little assistance in trading, then my purpose is fulfilled.
M-oscillator
MILLION MEN - Sheep HunterWhat it is
MILLION MEN – Sheep Hunter is an RSI-based context tool designed to visually highlight extreme sentiment zones. It draws Overbought (herd/FOMO) and Oversold (panic/liquidity) boxes on price, and labels rare events (Whale / Wolf / Sheep / TP10) for easier discretionary analysis. It is not an entry signal generator, but a tool to understand crowd behavior at extremes.
How it works
RSI core: Adjustable length and custom OB/OS thresholds.
Zones:
• Red box = RSI between 80–90 (overbought pocket)
• Green box = RSI ≤ 20 (oversold pocket)
• Box height auto-scales using True Range for clear visibility
• Boxes persist for X bars after exit, keeping context visible
Marks (optional):
• Whale (deep oversold)
• Wolf Entry (oversold threshold)
• Sheep (extreme FOMO)
• TP10 (RSI ≤ 10, potential exit area)
How to use
Use zones and marks as context or confluence, not automatic entries. Oversold areas may hint at exhaustion or liquidity grabs; overbought areas can warn of crowd chasing tops. Combine with structure, HTF bias, volume or price action.
Originality & value
Unlike standard RSI lines, this tool projects extremes directly onto price with persistent, padded zones and minimal marks for clarity. It helps traders see sentiment pockets over time, rather than momentary RSI spikes.
Tested markets
This tool has been primarily tested on major crypto assets (BTC, XRP, ETH, BNB, LTC).
Behavior on other markets may vary and should be validated before use.
Limitations
RSI can stay extreme during strong trends.
Marks are context labels, not buy/sell signals.
Non-standard chart types are not supported.
No future data is used. This is not financial advice.
يعرض مناطق تشبع شرائي/بيعي على السعر مباشرة (صناديق حمراء وخضراء) مع علامات لحالات قصوى مثل Whale / Sheep. الهدف هو فهم سلوك السيولة والجمهور عند التطرف وليس إعطاء إشارات دخول مباشرة. تمت تجربة الأداة على العملات الرئيسية (BTC, XRP, ETH, BNB, LTC) وقد يختلف الأداء في الأسواق الأخرى.
AO3 BETA 3.9.0 (v9p)// 📦 VERSION UPGRADE NOTE
// Indicator:
// Version: BETA 3.9.0 (v9p)
// Previous: BETA 3.4.2 (v6)
//────────────────────────────────────────────
// 🔸 Upgrade Summary:
// • Upgraded to Pine Script v6 (backward compatible).
// • Improved trend filter logic:
// – H1/H4 Uptrend = AO > U1
// – AO ≤ U1 ⇒ not uptrend
// – **NEW:** When AO crosses back above U1 (while AO > 0) ⇒ uptrend resumes.
// – Vice versa for downtrend.
// • Removed Entry Option 1; Option 2 → new Option 1; Option 3 → new Option 2.
// • Optimized internal constants & default values.
// • Added hidden system parameters (RISK_CAP, MIN_BARS, MAX_SPREAD, etc.).
// • Exposed only key inputs (Length, UseFilter, ATR Length) for cleaner UI.
// • Organized inputs into groups with tooltips for usability.
// • Improved performance via var-caching and reduced redundant calculations.
// • Simplified dev structure for modular updates.
//────────────────────────────────────────────
// 🧩 Notes:
// This build focuses on end-user stability and simplified interface.
// Developer-only parameters are now locked (not user-editable).
Scalping m15 indicator RovTradingScalping Indicator Combining UT Bot and Linear Regression Candles.
UT Bot uses ATR Trailing Stop to identify entry points.
Linear Regression Candles smooth price action and provide trend signals.
The indicator is suitable for scalping trading on the M15 timeframe.
2 Bandas de Bollinguer (10-20) + 4 EMA + 2 SMA 2 BB (10-20) + 4 EMA (35-50-100-200) + 2 SMA (75-100) configurable
TalaJooy V1.31 𓅂💎 استراتژی معاملاتی TalaJooy V1.31 𓅂
TalaJooy (طلاجوی) یک چارچوب معاملاتی حرفهای و کامل برای TradingView است که برای حذف حدس و گمان، احساسات و تصمیمگیریهای هیجانی از فرآیند معاملات طراحی شده است.
این محصول یک «اندیکاتور سیگنالدهی» ساده نیست؛ بلکه یک استراتژی (Strategy) کامل است که چهار وظیفه کلیدی را به صورت خودکار انجام میدهد:
تحلیل بازار (بر اساس یک موتور امتیازدهی کمی)
صدور سیگنال (ورود و خروج شفاف)
مدیریت ریسک پویا (محاسبه خودکار حد ضرر)
مدیریت حجم پوزیشن (محاسبه خودکار حجم بر اساس ریسک)
هدف «طلاجوی» تبدیل معاملهگری شهودی به یک فرآیند مکانیکی، مبتنی بر داده و مدیریت ریسک است.
⚙️ قابلیتهای کلیدی (آنچه دریافت میکنید)
این استراتژی مجهز به مجموعهای از ابزارهای حرفهای است که مستقیماً روی چارت شما اجرا میشوند:
🎯 ۱. سیگنالهای ورود و خروج شفاف
فلشهای واضح خرید (▲) و فروش (▼) که نقاط دقیق ورود بر اساس منطق استراتژی را مشخص میکنند. این سیستم تنها زمانی سیگنال صادر میکند که فیلترهای روند، همسویی لازم را تایید کنند.
🛡️ ۲. مدیریت ریسک پویای ATR
بزرگترین چالش معاملهگران، تعیین حد ضرر (SL) مناسب است. این استراتژی حد ضرر را به صورت خودکار و پویا بر اساس نوسانات واقعی بازار (با استفاده از ATR) محاسبه میکند.
نتیجه: در بازارهای پرنوسان، استاپ شما برای جلوگیری از استاپهانت شدن، فاصله ایمنتری میگیرد و در بازارهای آرام، بهینهتر و نزدیکتر تنظیم میشود.
💰 ۳. محاسبه خودکار حجم پوزیشن
دیگر نیازی به «ماشین حساب پوزیشن» ندارید. استراتژی به صورت اتوماتیک، حجم دقیق هر معامله را بر اساس درصد ریسک ثابتی که شما از کل سرمایهتان تعیین میکنید، محاسبه مینماید. این ویژگی، مدیریت سرمایه حرفهای را در تمام معاملات شما تضمین میکند.
🎨 ۴. نواحی بصری سود و زیان (TP/SL)
هنگامی که یک معامله باز است، این ابزار به صورت زنده، نواحی حد سود (سبز) و حد ضرر (قرمز) را مشابه ابزار پوزیشن خود تریدینگ ویو، مستقیماً روی چارت برای شما رسم میکند.
📈 ۵. پنل آمار عملکرد پیشرفته
یک جدول آماری جامع که تمام معیارهای کلیدی عملکرد شما را به صورت زنده نمایش میدهد:
سود و زیان خالص (دلاری و درصدی)
ضریب سود (Profit Factor)
نرخ موفقیت (Win Rate)
تعداد معاملات سودده / زیانده
حداکثر افت سرمایه (Max Drawdown)
و موارد دیگر...
🚦 ۶. آیکونهای بازخورد معامله
با آیکونهای هوشمند، فوراً کیفیت معاملات بسته شده خود را ارزیابی کنید:
😎🚀 (سود ویژه و قابل توجه)
💰 (سود عادی)
🙈 (زیان)
📈 چگونه از این ابزار استفاده کنید؟
«طلاجوی» یک 'ماشین چاپ پول' جادویی نیست، بلکه یک ابزار تست و اجرای حرفهای است.
۱. بکتست و بهینهسازی (Backtesting)
مهمترین قدرت این اسکریپت، قابلیت Strategy بودن آن است. شما میتوانید این استراتژی را روی هر جفتارز و تایم فریمی که معامله میکنید (طلا، کریپتو، جفتارزها و...) بکتست بگیرید تا آمار عملکرد آن را مشاهده کنید.
۲. تنظیم پارامترها
از طریق منوی تنظیمات، پارامترهای کلیدی مانند درصد ریسک، نسبت ریسک به ریوارد (R:R)، و فیلترهای زمانی را مطابق با سبک معاملاتی و دارایی مورد نظر خود بهینهسازی کنید.
۳. اجرای سیستماتیک
پس از یافتن تنظیمات بهینه در بکتست، در معاملات زنده به سیگنالها پایبند بمانید و اجازه دهید منطق مکانیکی، معاملات شما را مدیریت کند.
⚠️ سلب مسئولیت مهم (مطابق با قوانین TradingView)
این اسکریپت صرفاً یک ابزار تحلیلی و معاملاتی است و نباید به عنوان سیگنال مالی یا توصیهای برای خرید و فروش تلقی شود. تمام معاملات دارای ریسک هستند و نتایج گذشته تضمینکننده عملکرد آینده نمیباشد.
لطفاً قبل از استفاده از این استراتژی در حساب واقعی، آن را به طور کامل در حالت دمو یا بکتست ارزیابی کنید. مسئولیت تمامی سودها و زیانها بر عهده خود معاملهگر است.
💎 TalaJooy V1.31 𓅂 Trading Strategy
TalaJooy (meaning "Gold Seeker") is a complete, professional trading framework for TradingView, designed to remove guesswork, emotion, and impulsive decisions from your trading process.
This is not a simple signal indicator; it is a complete Strategy script that automates four key tasks:
Market Analysis (Based on a quantitative scoring engine)
Signal Generation (Clear entries and exits)
Dynamic Risk Management (Automated Stop Loss calculation)
Position Sizing (Automated trade sizing based on risk)
The goal of "TalaJooy" is to transform intuitive trading into a mechanical, data-driven, and risk-managed process.
⚙️ Key Features (What You Get)
This strategy comes equipped with a suite of professional tools that run directly on your chart:
🎯 1. Clear Entry & Exit Signals
Receive unambiguous Buy (▲) and Sell (▼) arrows identifying precise entry points based on the strategy's logic. The system only generates signals when its trend-confirmation filters are aligned.
🛡️ 2. Dynamic ATR Risk Management
A trader's biggest challenge is setting a proper Stop Loss (SL). This strategy calculates your SL automatically and dynamically based on real-time market volatility (using ATR).
The Benefit: In volatile markets, your stop is placed at a safer distance to avoid being "stopped out" by noise. In calm markets, it's set tighter and more efficiently.
💰 3. Automated Position Sizing
Stop using external "position size calculators." The strategy automatically calculates the exact trade size for every position based on a fixed risk percentage of your total equity (which you define). This enforces professional money management on every trade.
🎨 4. Visual Profit & Loss (TP/SL) Zones
While a trade is active, this tool plots live, visual zones for your Take Profit (green) and Stop Loss (red) targets, similar to TradingView's native "Long/Short Position" tool.
📈 5. Advanced Performance Stats Panel
A comprehensive statistics table displays all your key performance metrics in real-time:
Net Profit (% and $)
Profit Factor
Win Rate
Win / Loss Trade Count
Max Drawdown
And more...
🚦 6. Smart Trade Feedback Icons
Instantly review the quality of your closed trades with intelligent emoji feedback:
😎🚀 (Exceptional Profit)
💰 (Standard Profit)
🙈 (Loss)
📈 How to Use This Tool
"TalaJooy" is not a "magic money machine"; it is a professional-grade tool for testing and execution.
1. Backtesting & Optimization
The most powerful feature of this script is its Strategy component. You can backtest it on any asset or timeframe you trade (Gold, Crypto, Forex, etc.) to see its historical performance data.
2. Parameter Tuning
Use the settings menu to optimize key parameters—such as Risk Percentage, Risk:Reward Ratio, and core filter settings—to match your personal trading style and preferred assets.
3. Systematic Execution
After identifying optimal settings via backtesting, adhere to the signals in your live trading and let the mechanical logic manage your trades.
⚠️ Important Disclaimer (TradingView Compliant)
This script is provided for educational and analytical purposes only. It is not financial advice or a recommendation to buy or sell any asset. All trading involves substantial risk. Past performance is not indicative of future results.
Please thoroughly evaluate this strategy via backtesting or paper trading before deploying it with real funds. The user assumes full responsibility for all profits and losses incurred.
Kingdom SMCThis indicator combines Smart Money concept, chanlun, and multiple divergence technical analysis to construct a visual market analysis system.
JackFinance: Multiple EMA IndicatorMultiple EMA Indicator - Usage Instructions
Overview
Technical indicator displaying four exponential moving averages (EMA21, EMA52, EMA120, EMA200) for trend analysis across different timeframes.
Default Settings
EMA 21: Blue (short-term)
EMA 52: Green (medium-term)
EMA 120: Yellow (long-term)
EMA 200: Red (very long-term)
Key Features
Real-time EMA values displayed in table
Background color indicates trend vs EMA200
Customizable periods via input settings
Trading Applications
Identify trend direction using EMA alignment
Use EMA crossovers for entry/exit signals
Monitor price position relative to EMAs for support/resistance
Parameters
All EMA periods can be adjusted in indicator settings to match your trading strategy.
Notes
This is a technical analysis tool only. Combine with other indicators and risk management practices.
Volume Pressure Oscillator (VPO)🔹 Core Logic
VPO Calculation:
The indicator measures price momentum weighted by volume, smoothed by EMA, and normalized within a dynamic range to highlight relative pressure extremes.
Signal Line:
A secondary EMA of VPO acts as a signal baseline for crossovers and trend confirmation.
Entry Triggers:
Zero-line Crossovers: Momentum shifts from bearish to bullish (or vice versa).
Signal Crossovers: Confirmation of sustained directional momentum.
Filters:
Volume Filter: Only trades when volume is above the moving average.
VWAP Slope Filter: Ensures trades align with intraday institutional flow.
Higher Timeframe VWAP: Confirms multi-timeframe directional bias.
RSI Filter: Avoids overextended entries.
Optional Divergence Confirmation: Adds precision in reversal environments.
Lesh_ghoti_2Custom Timeframe 2 randomness, Custom Timeframe 2 randomness, Custom Timeframe 2 randomness
SSI-O - Super Strength Indicator (overlay) [Da_Prof]This is the overlay version of the Super Strength Indicator (SSI). The SSI is a combination of the money flow indicator (MFI), stochastic (Stoch) and relative strength index (RSI). These indicators are averaged together with weightings tested via months of backtesting to produce the SSI algorithm that is not just a simple average or summation of these indicators. The SSI is a sensitive indicator that detects exhaustion of momentum for all assets.
The overlay version of the SSI shows triangles above/below the price when there is high/low risk. The high risk is colored purple. The extreme high risk is colored red. The low risk is colored blue/green and the extreme low risk is colored green.
Weightings of each into the indicator can be changed. If changing the weighting, it is best to ensure the percentages add up to 300%. For example, if changing the RSI weight to 120%, it is best to drop the MFI and Stoch to 90% each.
The RSI SMA is default set at 1. This means the indicator uses the RSI with no smoothing. If changing to greater than 1, then the indicator uses the moving average smoothed RSI.
The default for the Stoch is to use the K only. The D can be used by changing the weightings.
SSI - Super Strength Indicator [Da_Prof]The Super Strength Indicator (SSI) is a combination of the money flow indicator (MFI), stochastic (Stoch) and relative strength index (RSI). These indicators are averaged together with weightings tested via months of backtesting to produce the SSI algorithm that is not just a simple average or summation of these indicators. The SSI is a sensitive indicator that detects exhaustion of momentum for all assets.
The SSI shows background colors when there is high/low risk. The high risk is colored purple. The extreme high risk is colored red. The low risk is colored blue/green and the extreme low risk is colored green.
Weightings of each into the indicator can be changed. If changing the weighting, it is best to ensure the percentages add up to 300%. For example, if changing the RSI weight to 120%, it is best to drop the MFI and Stoch to 90% each.
The RSI SMA is default set at 1. This means the indicator uses the RSI with no smoothing. If changing to greater than 1, then the indicator uses the moving average smoothed RSI.
The default for the Stoch is to use the K only. The D can be used by changing the weightings.
AlphaFlow - Trend DetectorOVERVIEW
AlphaFlow identifies and tracks large volume moves by combining volume analysis, price impact measurement, and conviction scoring to separate significant institutional moves from normal trading activity. Rather than just flagging high volume, this indicator evaluates whether large trades actually moved the market and assigns conviction levels based on multiple confirmation factors.
WHAT MAKES THIS ORIGINAL
This is not simply a volume indicator or volume-weighted price tracker. The originality lies in the multi-factor conviction scoring system that evaluates whether large volume moves represent genuine institutional conviction or just noise.
Key Differentiators:
- Combines volume ratio AND price impact (volume alone doesn't mean conviction)
- Conviction scoring system that weighs trend alignment, follow-through, and volume persistence
- Cumulative flow tracking that shows persistent directional pressure over time
- Market regime detection (bullish/bearish/sideways) based on flow dynamics
- Tiered signal system (EXTREME/HIGH/MEDIUM conviction) rather than binary signals
This approach solves the problem of volume spikes that don't lead to meaningful price action, or price moves on low volume that don't persist.
HOW IT WORKS
1. Whale Detection Engine:
Volume Qualification: Compares current volume to a rolling average (default 50 bars). Whale activity requires volume to be at least 1.5x the average (adjustable).
Price Impact Requirement: Volume alone isn't enough. The bar must also show significant price movement (default 0.1% minimum). This filters out high-volume consolidation where no one is actually committed to direction.
Direction Identification: Bullish whale = close > open on high volume. Bearish whale = close < open on high volume.
2. Conviction Scoring System:
The indicator doesn't just flag whale activity - it evaluates conviction through multiple factors:
Base Conviction: Calculated from (volume_ratio × price_impact) / 10
This gives higher scores to moves with both exceptional volume AND large price swings.
Trend Alignment Bonus (1.5x multiplier): Whale moves aligned with the 20-period EMA trend receive higher conviction scores. Institutional money tends to accumulate with the trend, not against it.
Follow-Through Bonus (1.3x multiplier): After whale activity, does price continue in that direction over the next bars (default 3)? Genuine conviction shows persistence.
Volume Persistence (1.2x multiplier): Is elevated volume sustained over multiple bars, or is it a one-time spike? The 3-bar average volume ratio above 1.5x indicates sustained interest.
Conviction Levels:
- EXTREME: Score > 15 (large whale emoji labels, highest confidence)
- HIGH: Score > 8 (triangle signals, strong confidence)
- MEDIUM: Score > 3 (small triangles, moderate confidence)
- LOW: Score < 3 (not plotted to reduce noise)
3. Cumulative Flow Analysis:
Rather than treating each whale move in isolation, the indicator tracks cumulative flow using an EMA of whale activity. This reveals persistent directional pressure.
Flow Calculation: Each whale bar contributes (whale_strength × direction) to the flow. Strength is volume_ratio × price_impact_percent.
Flow Momentum: Rate of change in the cumulative flow (5-bar change)
Flow Acceleration: Second derivative (3-bar change of momentum)
These metrics reveal whether whale activity is accelerating, decelerating, or reversing.
4. Market Regime Detection:
Bullish Regime: Cumulative flow > 2 AND momentum positive
Bearish Regime: Cumulative flow < -2 AND momentum negative
Sideways Regime: Neither condition met
The background color reflects the current regime, helping traders understand the broader context.
5. Flow Strength Meter:
The main plot normalizes cumulative flow to a -100 to +100 scale based on the 100-bar range. This provides a consistent visual reference regardless of the asset or timeframe.
Extreme levels at ±50 indicate particularly strong directional flow where reversals or consolidation become more likely.
HOW TO USE IT
Settings Configuration:
Whale Detection Section:
- Volume Average Period (default 50): Shorter periods make detection more sensitive to recent volume changes. Longer periods require more exceptional volume to trigger.
- Whale Volume Multiplier (default 1.5): How much above average volume must be to qualify. Lower = more signals. Higher = only extreme moves.
- Minimum Price Impact (default 0.1%): Filters out high-volume bars that didn't actually move price. Adjust based on asset volatility.
Trend Analysis:
- Trend Strength Period (default 20): EMA period for trend alignment bonus
- Confirmation Bars (default 3): How many bars to check for follow-through
Visual Settings:
- Flow Strength Meter: Main plot showing normalized cumulative flow
- Conviction Labels: Detailed labels showing volume ratio and price impact on extreme/high conviction whales
- Trend Background: Color-coded regime indication
Signal Interpretation:
EXTREME Conviction (Whale Emoji Labels):
These are the highest confidence signals. Large volume with significant price impact, aligned with trend, showing follow-through. These often mark the beginning or continuation of strong moves.
HIGH Conviction (Large Triangles):
Strong signals meeting most criteria. Good for main entries or adding to positions.
MEDIUM Conviction (Small Triangles):
Whale activity present but with fewer confirmation factors. Use for partial positions or require additional confirmation.
Flow Strength Meter:
- Above zero and rising: Bullish flow building
- Below zero and falling: Bearish flow building
- Approaching ±50: Extreme readings, watch for exhaustion
- Crossing zero: Flow regime change
Dashboard Information:
The top-right table shows:
- Current regime (bullish/bearish/sideways)
- Flow strength value
- Last whale direction
- Conviction level of last whale
- Current volume ratio
- Flow momentum direction
- Indicator status
Trading Strategies:
Trend Following: Take EXTREME and HIGH conviction signals aligned with the flow meter direction. Enter when flow is positive and rising for bullish whales, negative and falling for bearish whales.
Regime-Based: Only trade in bullish/bearish regimes (colored backgrounds). Avoid trading in sideways regimes where whale moves tend to reverse quickly.
Flow Reversals: When flow meter crosses zero with EXTREME conviction whale in the new direction, this often marks regime changes.
Exhaustion Plays: When flow reaches ±50 extreme levels, watch for EXTREME conviction whales in the opposite direction as potential reversal signals.
TECHNICAL DETAILS
Volume Ratio = Current Volume / SMA(Volume, Period)
Price Impact % = ABS(Close - Open) / Open × 100
Whale Detected = (Volume Ratio >= Multiplier) AND (Price Impact >= Minimum)
Whale Direction = Close > Open ? 1 : -1
Base Conviction = (Volume Ratio × Price Impact %) / 10
Trend Alignment = Whale Direction == Trend Direction ? 1.5 : 1.0
Follow-Through = Price continues whale direction over N bars ? 1.3 : 1.0
Volume Persistence = SMA(Volume Ratio, 3) > 1.5 ? 1.2 : 1.0
Final Conviction = Base × Trend Alignment × Follow-Through × Volume Persistence
Whale Flow = Whale Detected ? (Volume Ratio × Price Impact × Direction) : 0
Cumulative Flow = EMA(Whale Flow, 20)
Flow Momentum = Change(Cumulative Flow, 5)
Flow Acceleration = Change(Momentum, 3)
Normalized Flow Strength = (Cumulative Flow / Highest(ABS(Cumulative Flow), 100)) × 100
WHAT THIS SOLVES
Common Volume Indicator Problems:
- Volume spikes that don't move price (consolidation noise)
- Price moves on low volume that quickly reverse
- No differentiation between strong and weak volume signals
- Treating all high-volume bars equally regardless of context
- No measure of whether volume represents conviction or panic
Whale Flow Solutions:
- Requires both volume AND price impact for signals
- Conviction scoring separates strong moves from weak ones
- Cumulative flow shows persistent pressure vs isolated spikes
- Trend alignment and follow-through filter low-quality signals
- Tiered system lets traders choose their confidence threshold
LIMITATIONS
- Cannot identify individual whales or attribute volume to specific entities
- High volume can come from many sources (whales, retail panic, algo activity)
- Works best on liquid assets with consistent volume patterns
- Less reliable on low-volume assets or during market closures
- Conviction scoring thresholds may need adjustment per asset/timeframe
- Does not predict future whale activity, only identifies it after bars close
- Flow can remain at extremes longer than expected during strong trends
- False signals can occur during news events or earnings
- Not a standalone trading system - requires risk management and other analysis
Best used in combination with price action, support/resistance, and broader market context.
EDUCATIONAL VALUE
For traders learning about:
- Volume analysis beyond simple volume indicators
- Multi-factor signal confirmation systems
- Market regime and flow concepts
- Conviction-based scoring methodologies
- Cumulative indicator design
- Normalized plotting for cross-asset comparison
- Pine Script table and dashboard creation
Not financial advice.
AlphaMACD - Adaptive MACD with Efficiency RatioOVERVIEW
AlphaMACD is an adaptive implementation of the classic MACD indicator that dynamically adjusts its calculation periods based on market efficiency. Unlike traditional MACD which uses fixed periods (typically 12, 26, 9), this indicator adapts its fast and slow EMA periods in real-time based on how efficiently the market is trending.
WHAT MAKES THIS ORIGINAL
This is not a simple MACD with different settings or colors. The core innovation is the adaptive period calculation using Kaufman's Efficiency Ratio, which was originally developed for the Adaptive Moving Average (AMA). This indicator applies that adaptive logic to MACD itself.
Key Differences from Standard MACD:
- Periods dynamically adjust between user-defined ranges (default: 8-21 for fast, 21-55 for slow)
- Uses Kaufman's Efficiency Ratio to measure market trendiness
- Implements gap protection to prevent extreme spikes from market gaps
- Includes market regime detection to filter signals in choppy conditions
- Provides multi-timeframe trend confirmation
HOW IT WORKS
1. Efficiency Ratio Calculation:
The indicator calculates market efficiency by comparing the absolute price change over a period to the sum of absolute price changes within that period. High efficiency = strong trending market. Low efficiency = choppy/sideways market.
2. Adaptive Period Adjustment:
- In trending markets (high efficiency): Periods move toward the minimum values for faster response
- In choppy markets (low efficiency): Periods move toward the maximum values for slower, more stable signals
- The "Sensitivity" parameter controls how aggressively periods adapt (0.5 to 5.0)
3. Gap Protection:
The custom adaptive EMA function detects abnormal price gaps (moves larger than 3x the typical ATR-based change) and limits their impact on the calculation. This prevents weekends or news gaps from causing extreme MACD spikes.
4. Signal Quality Filtering:
- Market regime detection identifies trending vs sideways conditions
- Momentum filter (RSI-based) prevents signals during overextended moves
- Signal strength calculation helps identify high-confidence setups
- Sideways market signals are marked with warning symbols
5. Multi-Timeframe Analysis:
The indicator compares current timeframe MACD with a higher timeframe (default 60 min) to provide context and filter against-trend signals.
HOW TO USE IT
Settings:
- Core Settings: Define the minimum and maximum periods for fast/slow EMAs
- Sensitivity: Higher values make the indicator more responsive to market changes
- Multi-timeframe: Set a higher timeframe for trend confirmation
- Visual options: Customize appearance and enable/disable features
Signal Interpretation:
- Strong bullish/bearish signals (large triangles): High-confidence entries in trending markets
- Warning signals (small ⚠): Crossovers in sideways markets - use caution or skip
- Divergence labels ("DIV"): Price and MACD diverging - potential reversal
- Background color: Green tint = trending market, Orange tint = sideways market
The Information Table shows:
- Current market regime (trending or sideways)
- Market efficiency percentage (how clean the trend is)
- Current adaptive fast and slow periods
- Higher timeframe trend direction
- Current signal strength
Best Practices:
- In trending markets: Trust strong signals, avoid warning signals
- In sideways markets: Reduce position sizes or skip trades entirely
- Use higher timeframe confirmation for better signal quality
- Adjust sensitivity based on your trading timeframe (higher for intraday, lower for swing)
TECHNICAL DETAILS
Calculation Method:
- Efficiency Ratio = ABS(Close - Close ) / SUM(ABS(Close - Close ), Period)
- Smoothed Efficiency = EMA(Efficiency Ratio, 5)
- Fast Period = Fast_Min + (Fast_Max - Fast_Min) × (1 - Smoothed_Efficiency × Sensitivity)
- Slow Period = Slow_Min + (Slow_Max - Slow_Min) × (1 - Smoothed_Efficiency × Sensitivity)
- Adaptive EMA uses standard EMA formula with gap detection and limiting
- MACD = Fast Adaptive EMA - Slow Adaptive EMA
- Signal = EMA(MACD, Signal Period)
- Histogram = MACD - Signal
The adaptive periods are calculated on every bar, so the MACD responds faster in trending conditions and stabilizes during consolidation.
WHAT THIS SOLVES
Standard MACD Problems:
- Fixed periods don't adapt to changing market conditions
- Too many false signals in sideways markets
- Whipsaws during low-volatility consolidation
- Price gaps can cause misleading spikes
AlphaMACD Solutions:
- Periods automatically adjust to market state
- Market regime filter identifies and warns about sideways conditions
- Adaptive smoothing reduces whipsaws
- Gap protection prevents false extremes
LIMITATIONS
- Like all indicators, this does not predict the future
- Requires trending markets for optimal performance
- Adaptive calculation means backtesting results will differ from fixed-period MACD
- More complex than standard MACD - requires understanding of adaptive concepts
- The adaptive periods mean you cannot directly compare this to traditional MACD studies
This indicator is best used as part of a complete trading system, not as a standalone signal generator.
EDUCATIONAL VALUE
For traders learning about:
- Adaptive indicators and market efficiency concepts
- Kaufman's Adaptive Moving Average principles applied to oscillators
- Market regime detection and signal filtering
- Gap handling in technical indicators
- Multi-timeframe analysis integration
Not Financial advice.
MILLION MEN - Capitulation Hunter What it is
MILLION MEN – Capitulation Hunter detects potential capitulation buy-limits using a confluence of momentum, volatility, and liquidity cues. It combines a 5-oscillator sentiment (RSI / Stoch / CCI / MFI / MACD histogram) with EMA200 trend context, Bollinger lower band proximity, volume climax, and an optional liquidity sweep check. When all filters align, the tool paints a BUY-LIMIT zone and proposes SL/TP levels.
How it works (high-level)
Oscillator sentiment (0–100%): counts how many of the five oscillators are bullish; capitulation candidate = 0%.
Trend & location: price below EMA200 and at/through BB lower band (basis ± mult×σ).
Selling climax: current volume ≥ X × volume SMA.
Liquidity sweep (optional): current low sweeps the prior N-bar low but closes back above it.
Confirmation: optional 0–2 extra bars (close > low and bullish bodies) before validating.
On validation, the script draws: BUY-LIMIT zone, dotted SL = zone bottom − ATR×mult, TP by R:R, and a mini sentiment table.
How to use
Look for zones after fast, extended selloffs into BB-L with volume spike and oscillators at 0%.
Place pending BUY-LIMIT inside the painted zone; use the plotted SL/TP as a starting point.
Works across timeframes; adjust volume multiplier, sweep length, confirmation bars, and ATR×SL to your market.
For added confluence: HTF structure, session/flow, or order-book/liquidity context.
Originality & value
Instead of a generic mashup, this tool enforces a strict confluence: (1) five-oscillator capitulation, (2) location at BB-L under EMA200, (3) volume climax, (4) optional sweep/recapture, and (5) bar-based confirmation—then auto-renders a practical trade plan (zone + SL/TP) and a readable sentiment table. All calculations are manual (no lookahead) and designed for clarity and execution.
Limitations & transparency
Capitulation can persist during strong downtrends; always use structure and risk management.
SL/TP visuals are hints, not orders; adapt to instrument volatility and liquidity.
Non-standard chart types aren’t supported for signals. No future data is used.
This is not financial advice; past performance does not guarantee future results.
(ملخص عربي )
مؤشر يلتقط سيناريوهات الاستسلام البيعي (Capitulation) عبر شروط متشددة: مزاج مؤشرات الزخم = 0%، السعر تحت EMA200 وعند/أسفل BB-L، ذروة فوليوم، واختياري سويب قيعان ثم ارتداد. عند التأكيد يرسم منطقة BUY-LIMIT ويقترح SL/TP. استخدمه مع هيكل السوق وإدارة المخاطر.
CMF, RSI, CCI, MACD, OBV, Fisher, Stoch RSI, ADX (+DI/-DI)Eight normalized indicators are used in conjunction with the CMF, CCI, MACD, and Stoch RSI indicators. You can track buy and sell decisions by tracking swings. The zero line is for reversal tracking at -20, +20, +50, and +80. You can use any of the nine indicators individually or in combination.
Fusion Screener📘 Fusion Screener (MA + Oscillator + Range Breakout + Angle Filter + Trailing Alerts)
The Fusion Screener is a technical-analysis study that combines multiple indicator categories into one framework.
It evaluates moving-average alignment, oscillator conditions, range separation, and angle thresholds, and it optionally issues time- or structure-based trailing alerts.
The script is intended for screening and chart-based analysis, not for generating trading or investment advice.
🔧 Main Components
Moving-Average Votes – Calculates five moving averages (10 – 200 periods) on a selected analysis timeframe and counts how many are positioned above or below the current price.
Oscillator Votes – Evaluates RSI, MACD, and Momentum on the same timeframe and counts bullish or bearish readings.
Higher-Timeframe Filter – Optionally checks the relationship between price and an EMA on a higher timeframe to provide directional context.
Range-Breakout Logic – Compares two customizable moving averages and determines whether price has moved outside a defined separation threshold.
Angle Filter – Estimates the slope (in degrees) of a chosen moving average and filters conditions that do not meet the minimum angle requirement.
Trailing Alerts – Generates optional time-based or structure-based reminder alerts after entries occur, according to user-defined intervals or pivot behavior.
⚙️ User Inputs
Analysis Timeframe – Selects the timeframe used for MA and oscillator calculations.
Min MA Votes / Min Oscillator Votes – Minimum number of bullish or bearish readings required to satisfy each group.
Higher-Timeframe Confirmation – Enables or disables the directional EMA filter from a separate timeframe.
Range MA Type / Lengths / Threshold – Parameters controlling the range-breakout comparison.
Angle Filter Settings – Type, length, slope-lookback, and minimum angle (degrees).
Trailing Alerts – Options for bar-based or structure-based trailing reminders, including repetition behavior and pivot lookback length.
Show Signals – Toggles on-chart markers for informational visualization.
🖥️ Outputs
On-chart shapes marking informational “buy,” “strong buy,” “sell,” and “strong sell” conditions when corresponding criteria are met.
Exit markers when prior conditions no longer hold.
Flags when time- or structure-based trailing alerts are triggered.
Built-in alert conditions that can be linked through the TradingView alert interface.
📊 Technical Notes
Uses request.security() for multi-timeframe data retrieval.
Does not repaint past bars once higher-timeframe candles have closed.
Intended for monitoring the coexistence of several technical factors within a single script.
No part of this study constitutes financial or trading advice; it provides analytical data for chart observation only.
TrendEcho Oscillator [iss2k]🌀 TrendEcho Oscillator
The TrendEcho Oscillator is a hybrid momentum tool that blends the precision of EMA differentials with RSI-style normalization. It’s designed to visualize short-term trend strength, highlight momentum shifts, and reveal dynamic support and resistance levels within the oscillator space.
🔍 Core Concept
The indicator calculates the difference between two EMAs and scales it into a 0–100 range — similar to an RSI — creating a smooth and responsive oscillator that reflects momentum strength.
A secondary “Echo line” (the shifted EMA differential) acts as a delayed shadow, providing confirmation and early warning of potential reversals through crossovers.
📊 Signals
🟢 Buy Signal → When the main line crosses above the Echo line near the lower zone (below 10).
🔴 Sell Signal → When the main line crosses below the Echo line near the upper zone (above 90).
🟩 Neutral Crosses → Crossovers between 10 and 90 indicate possible momentum shifts but not strong overbought/oversold conditions.
🧭 Dynamic Pivot Zones
The oscillator automatically detects pivot highs and lows, projecting horizontal levels that extend until price momentum touches them again. These pivots visualize historical extremes in momentum and can act as dynamic zones of potential reversal or continuation.
⚙️ Inputs
EMA Lengths – control sensitivity of the trend measurement.
Lookback – defines how far back scaling is calculated for normalization.
Pivot Lookback – controls pivot detection sensitivity.
Offset – shifts the secondary Echo line for visual and signal timing control.
💡 Usage Tips
Works best in combination with trend filters (e.g., higher-timeframe EMA or structure analysis).
Strong divergence between the oscillator and price may signal early reversals.
Pivot lines can serve as momentum-based support/resistance within the oscillator.
AlgoWay GRSIM🧭 What this strategy tries to do
This strategy detects when a market move is losing strength and prepares for a potential reversal, but it waits for fresh momentum confirmation before acting.
It combines:
• RSI-based divergence (to spot exhaustion and potential turning points),
• Impulse MACD (to verify that the new direction actually has force behind it).
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⚙️ When it takes trades
Long (Buy):
• A bullish RSI divergence appears (a clue that selling pressure is fading);
• Within a short time window, the Impulse MACD turns strongly positive;
• Optionally, the impulse line itself must be rising (if the Impulse Direction Filter is
enabled).
Short (Sell):
• A bearish RSI divergence appears (buying pressure fading);
• Within a short time window, the Impulse MACD turns strongly negative;
• Optionally, the impulse line must be falling (if the Impulse Direction Filter is enabled).
If momentum confirmation happens too late, the divergence “expires” and the signal is ignored.
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🧩 How entries work
1. Reversal clue:
The strategy detects disagreement between price and RSI (price makes a new high/low, RSI doesn’t).
That suggests a shift in underlying strength.
2. Momentum confirmation:
Before entering, the Impulse MACD must agree — showing real push in the same direction.
3. Impulse direction filter (optional):
When enabled, the impulse itself must accelerate (rise for longs, fall for shorts), avoiding fake signals where price diverges but momentum is still fading.
4. No stacking:
It opens only one position at a time.
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🚪 How exits work
Two main exit styles:
Conservative (default):
Longs close when impulse crosses below its signal line.
Shorts close when impulse crosses above its signal line.
✅ Keeps trades as long as momentum agrees.
Color-change (fast):
Longs close immediately when impulse flips bearish.
Shorts close immediately when impulse flips bullish.
⚡ Faster and more defensive.
Plus:
Stop Loss (%) and Take Profit (%) act as fixed-distance protective exits (set to 0 to disable either one).
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📊 What you’ll see on the chart
A thick Impulse MACD line and thin signal line (oscillator view).
Diamonds — detected bullish/bearish divergence points.
Circles — where impulse crosses its signal (momentum change).
A performance panel (top-right) showing Net Profit, Trades, Win Rate, Profit Factor, Pessimistic PF, and Max Drawdown.
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🔧 What you can tune
Signal Lifetime (bars): how long a divergence remains valid.
Impulse Direction Filter: ensure the impulse itself is moving in the trade’s direction.
Stop Loss / Take Profit (%): risk and target in percent.
Exit Style: conservative cross or faster color-change.
RSI / MA / Signal Lengths: adjust responsiveness (defaults are balanced).
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💪 Strengths
Confirms reversals using momentum direction, not just divergence.
Avoids “early” signals where momentum is still fading.
Works symmetrically for longs and shorts.
Built-in stop/target protection.
Clear, visual confirmation of all logic components.
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⚠️ Things to keep in mind
In sideways markets, the impulse can flip often — prefer conservative exits.
Too small SL/TP → constant stop-outs.
Too wide SL/TP → deep drawdowns.
Always test with different timeframes and markets.
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💡 Practical tips
Start with default settings.
Enable “Use Impulse Direction Filter” in trending markets, disable it in very choppy ones.
Focus on Profit Factor, Win Rate, and Max Drawdown after several dozen trades.
Keep SL/TP roughly aligned with typical swing size.
“AlgoWay GRSIM” is a reversal-with-confirmation strategy: it spots likely turns, demands real momentum alignment (optionally verified by impulse direction), and manages exits with clear momentum cues plus built-in protective limits.
Summit LineThe Summit Line is an advanced momentum and confluence indicator designed to simplify complex market data into clean, actionable dot signals.
It blends MACD, RSI, moving averages and Volume Strength, giving traders a real time gauge of momentum shifts and exhaustion points.
🟢 Green Dot: Bullish confluence
🔴 Red Dot: Bearish confluence
🟡 Gold Dot: “A+” setup, rare alignment of all core metrics, typically at high-probability reversal or breakout zones.
Unlike noisy indicators, Summit Line filters weak signals using RSI slope, volume surges, and EMA trend structure, keeping the chart clean and accurate.
Every dot is pinned along a flat zero baseline for visual simplicity, ideal for combining with the Summit cloud or other price overlays.
Moving Average Convergence-Divergence (MACD)This script implements the Moving Average Convergence-Divergence (MACD), a popular momentum indicator used in technical analysis to identify trend direction, momentum shifts, and potential buy/sell signals.
🔹 Key Features
1. Inputs & Customization
MACD Lines Toggle: Enable/disable the MACD and signal lines.
Source Price: Defaults to close but can be adjusted (e.g., open, high, low, hl2).
Fast Length (12): The period for the faster-moving EMA.
Slow Length (26): The period for the slower-moving EMA.
Signal Length (9): The smoothing period for the signal line.
2. Calculations
Computes the MACD Line (fast EMA - slow EMA).
Computes the Signal Line (EMA of the MACD line).
Computes the Histogram (difference between MACD and Signal lines).
3. Visual Indicators
Zero Line: A white horizontal line at 0 for reference.
MACD Line: Plotted in green when above the signal line, red when below.
Signal Line: Displayed as a yellow line.
Histogram:
Green bars when MACD > Signal (bullish momentum).
Red bars when MACD < Signal (bearish momentum).
Background Highlights:
Light green on bullish crossovers (MACD crosses above Signal).
Light red on bearish crossunders (MACD crosses below Signal).
4. Alerts
Triggers when:
Bullish Crossover (MACD crosses above Signal).
Bearish Crossunder (MACD crosses below Signal).
🔹 How Traders Use This Indicator
Trend Identification:
MACD above zero → bullish trend.
MACD below zero → bearish trend.
Momentum Signals:
Bullish Crossover (Buy Signal): MACD crosses above Signal.
Bearish Crossunder (Sell Signal): MACD crosses below Signal.
Divergence (Not in this script, but useful):
Price makes higher highs, but MACD makes lower highs → Potential reversal.
🔹 Strengths of This Script
✅ Clean and Efficient Code – Uses Pine Script v6 best practices.
✅ Customizable Inputs – Adjust lengths and source price.
✅ Clear Visuals – Color-coded for easy interpretation.
✅ Built-in Alerts – For automated trading strategies.
Jul 1
Release Notes
This script implements the Moving Average Convergence-Divergence (MACD), a popular momentum indicator used in technical analysis to identify trend direction, momentum shifts, and potential buy/sell signals.
🔹 Key Features
1. Inputs & Customization
MACD Lines Toggle: Enable/disable the MACD and signal lines.
Source Price: Defaults to close but can be adjusted (e.g., open, high, low, hl2).
Fast Length (12): The period for the faster-moving EMA.
Slow Length (26): The period for the slower-moving EMA.
Signal Length (9): The smoothing period for the signal line.
2. Calculations
Computes the MACD Line (fast EMA - slow EMA).
Computes the Signal Line (EMA of the MACD line).
Computes the Histogram (difference between MACD and Signal lines).
3. Visual Indicators
Zero Line: A white horizontal line at 0 for reference.
MACD Line: Plotted in green when above the signal line, red when below.
Signal Line: Displayed as a yellow line.
Histogram:
Green bars when MACD > Signal (bullish momentum).
Red bars when MACD < Signal (bearish momentum).
Background Highlights:
Light green on bullish crossovers (MACD crosses above Signal).
Light red on bearish crossunders (MACD crosses below Signal).
4. Alerts
Triggers when:
Bullish Crossover (MACD crosses above Signal).
Bearish Crossunder (MACD crosses below Signal).
🔹 How Traders Use This Indicator
Trend Identification:
MACD above zero → bullish trend.
MACD below zero → bearish trend.
Momentum Signals:
Bullish Crossover (Buy Signal): MACD crosses above Signal.
Bearish Crossunder (Sell Signal): MACD crosses below Signal.
Divergence (Not in this script, but useful):
Price makes higher highs, but MACD makes lower highs → Potential reversal.
🔹 Strengths of This Script
✅ Clean and Efficient Code – Uses Pine Script v6 best practices.
✅ Customizable Inputs – Adjust lengths and source price.
✅ Clear Visuals – Color-coded for easy interpretation.
✅ Built-in Alerts – For automated trading strategies.






















