SOLACE PROSOLACE PRO is a confirmation-based trend/breakout indicator that computes on the previous candle to cut intrabar noise and repainting. It plots VWAP, Bollinger Bands (20,2), and SMA50/200, and signals BUY when the prior bar closed above the upper band and above VWAP/SMA50/SMA200 with MACD > signal; SELL when it closed below the lower band and below VWAP/SMAs with MACD < signal. Labels are stamped on the prior bar (offset −1), duplicate same-side signals are suppressed, and alert conditions are included for instant notifications.
Centered Oscillators
ROC -> PROFABIGHI_CAPITAL🌟 Overview
This ROC → PROFABIGHI_CAPITAL implements a streamlined Rate of Change momentum indicator for clear trend direction analysis and momentum strength assessment.
It provides Rate of Change calculation with configurable period settings , Dynamic color-coded visualization with green for positive momentum and red for negative momentum , and Zero reference line for clear momentum direction identification for fundamental momentum analysis and trend confirmation.
🔧 Momentum Analysis Architecture
- Professional Rate of Change implementation focusing on percentage price changes over specified periods for momentum measurement
- Period Configuration Framework with adjustable lookback period using 14-period default for balanced momentum sensitivity
- Minimum Value Protection ensuring period input accepts only values of 1 or greater for mathematical validity
- Separate Panel Display using overlay = false for dedicated momentum analysis window below price chart
- Simple Input Interface providing single parameter control for easy configuration and optimization
📊 ROC Calculation Engine
- Pine Script ROC Function utilizing built-in ta.roc calculation for accurate percentage change measurement over specified periods
- Close Price Source using closing prices as standard input for momentum calculation providing consistent trend analysis
- Percentage Change Formula calculating ((current close - close N periods ago) / close N periods ago) × 100 for standardized momentum measurement
- Period-Based Analysis measuring momentum over user-defined lookback period for flexible timeframe adaptation
- Real-Time Updates providing current momentum readings with each new bar for immediate trend assessment
🎨 Visual Representation Framework
- Dynamic Color Coding System using green coloring for positive ROC values indicating upward momentum and red coloring for negative values showing downward momentum
- Clear Visual Distinction providing immediate visual feedback on momentum direction through intuitive color scheme
- Line Weight Enhancement using linewidth = 2 for prominent momentum line display ensuring clear trend identification
- Zero Reference Line displaying horizontal dashed gray line at zero level for momentum direction baseline reference
- Professional Chart Integration implementing clean visual design with standard color conventions for institutional analysis
📈 Momentum Analysis Applications
- Trend Direction Confirmation identifying positive ROC values as bullish momentum and negative values as bearish momentum
- Momentum Strength Assessment measuring momentum magnitude through ROC value extremes for trend intensity evaluation
- Divergence Analysis comparing price action with ROC direction for potential reversal signal identification
- Overbought/Oversold Detection using extreme ROC values for potential mean reversion opportunities
- Trend Continuation Validation confirming sustained momentum through consistent ROC direction for trend following strategies
- Entry and Exit Timing utilizing ROC zero-line crosses and directional changes for position management decisions
⚙️ Configuration Parameters
- ROC Period Setting controlling lookback period for momentum calculation with 14-period default providing balanced sensitivity
- Period Optimization Range supporting values from 1 to unlimited for different analytical timeframes and market conditions
- Short-Term Analysis using periods 1-7 for quick momentum changes and scalping applications
- Medium-Term Analysis utilizing periods 8-21 for swing trading and intermediate trend analysis
- Long-Term Analysis employing periods 22+ for position trading and major trend identification
- Market Adaptation adjusting period length based on asset volatility and trading strategy requirements
🔍 Technical Implementation
- Mathematical Accuracy using Pine Script's built-in ROC function ensuring proper percentage change calculations
- Computational Efficiency implementing streamlined code structure for optimal performance and minimal resource usage
- Error Prevention using minimum value constraints preventing invalid period inputs and calculation errors
- Real-Time Processing providing immediate momentum updates with each new price bar for current market assessment
- Clean Code Architecture maintaining simple, readable structure for easy modification and optimization
- Professional Standards following Pine Script best practices for reliable indicator performance
📊 Trading Applications
- Momentum Confirmation validating trend direction through positive or negative ROC readings for directional bias
- Zero-Line Strategy using ROC crosses above and below zero for basic momentum trading signals
- Extreme Reading Analysis identifying unusually high or low ROC values for potential reversal opportunities
- Multi-Timeframe Analysis applying different ROC periods across timeframes for comprehensive momentum assessment
- Divergence Trading comparing price peaks/troughs with ROC peaks/troughs for reversal signal generation
- Filter Integration combining ROC with other indicators for enhanced signal validation and trade confirmation
✅ Key Takeaways
- Streamlined Rate of Change implementation providing essential momentum analysis through percentage price change calculation
- Dynamic color-coded visualization offering immediate momentum direction identification through green/red color scheme
- Configurable period settings enabling adaptation to different trading styles and market timeframes
- Zero reference line providing clear momentum baseline for directional bias and signal generation
- Professional implementation using Pine Script best practices for reliable performance and easy optimization
- Fundamental momentum tool suitable for trend confirmation, divergence analysis, and basic trading signal generation
- Clean, efficient design focusing on core momentum functionality without unnecessary complexity or visual clutter
Argentum Flag [AGP]Ver.2.1Technical Description of the "Argentum Flag " Indicator
The "Argentum Flag " is a multifaceted trading indicator designed to provide a comprehensive view of market dynamics by combining elements of trend, volatility, momentum, and volume analysis. Its architecture is built on the synergy of multiple technical tools, allowing traders to make more informed decisions by reducing market noise and focusing on high-probability inflection points.
1. Dynamic AGP Bands (EMA 36 and Percentage Levels)
The core of the indicator is a 36-period Exponential Moving Average (EMA), which acts as the price's baseline and center of gravity. From this EMA, the script plots dynamic bands at predefined percentages (Base, Prime, and Vortex).
Logic: These bands are not static like Bollinger Bands; they expand and contract in response to the underlying EMA. This methodology helps identify relative volatility and trend strength. When the price trades within these bands, it's considered to be in a range or a controlled consolidation.
Benefit to the Trader: They provide a quick visual of dynamic support and resistance levels. A price movement beyond the Vortex band can signal an extreme market imbalance, suggesting potential trend exhaustion or a high-energy breakout.
2. Breakout Signals (Signals)
The indicator generates plotshape signals when the price stays outside the volatility bands for a specific number of consecutive bars (2 for the Prime band and 3 for the Vortex band).
Logic: These signals act as an overextension detection system. The underlying principle is that once the price breaks and holds outside these zones, the probability of a pullback or a reversal increases significantly. The lastSignalBarIndex logic prevents signal overload and ensures a cooling-off period, eliminating noise from consecutive signals.
Benefit to the Trader: It provides clear visual alerts for taking profits or looking for potential reversals. A trader can use the Vortex band exit signal (⌾) as confirmation to close a long or short position, while the Prime band signal (⍲) can indicate a potential pullback for a trend-following entry.
3. Bar Volume Analysis (Barcolor)
The script introduces a sophisticated bar coloring system that classifies volume activity relative to a 50-period Simple Moving Average (SMA).
Logic: The coloring is based not only on whether the bar is bullish or bearish but also on the magnitude of the volume. For instance, extreme volume (more than 3.5 times the average volume) is colored blue, indicating institutional participation or a high-impact event. High (1.8x) or average (0.6x - 1.7x) volume is distinguished with other colors, providing a visual map of the underlying strength behind each price move.
Benefit to the Trader: It allows for a quick identification of bars with the highest market conviction. A bearish price bar with extreme volume (extreme_volume_bearish) might signal significant liquidation, while a bullish bar with extreme volume (extreme_volume_bullish) could suggest strong accumulation.
4. Real-Time Monitoring Tables (EMA and RSI)
The indicator includes two data tables in the bottom corner of the screen, acting as a dashboard for multi-timeframe analysis.
EMA Table (Fibonacci): This table shows the current values of a series of Fibonacci-based EMAs (13, 21, 34, etc.). The background color of each cell indicates whether the current price is above (white) or below (blue) the corresponding EMA.
Logic: This table allows traders to assess the trend bias across different timeframes, from short to long-term. An alignment of multiple EMAs in the same direction (e.g., all white) confirms a strong trend.
Benefit to the Trader: It provides a quick check for trend confirmation. For example, before opening a long position on a 5-minute chart, a trader can verify if the overall trend on higher timeframes (e.g., 4h or 1D) is also bullish.
RSI Table (Multi-Timeframe): This table shows the Relative Strength Index (RSI) values across multiple timeframes, from 1 minute to monthly. The cell lights up orange if the RSI is in the overbought zone (> 77) or white if it's in the oversold zone (< 23).
Logic: The use of request.security enables the fetching of data from other timeframes on the current bar. This is a crucial component for multi-timeframe divergence analysis.
Benefit to the Trader: It helps identify overbought or oversold conditions across different trading horizons, which is vital for spotting large-scale reversals. If the 1D and 4h RSIs are overbought, a long position on a lower timeframe could be high-risk.
Competitive Advantages for Traders
The "Argentum Flag " is not just a simple indicator; it's a consolidated technical analysis suite that saves time and effort. Instead of overlaying multiple indicators, a trader gets all the relevant information in a single view. The contextualized volume analysis and volatility-based signals are invaluable tools for filtering out low-quality entries and exits. Finally, the real-time monitoring tables provide a multi-timeframe perspective that is fundamental for validating market direction and managing risk.
In trading, the convergence of multiple technical data points is key to increasing the probability of success. This indicator provides precisely that convergence, enabling both novice and experienced traders to make more precise and strategic decisions.
Risk Warning (Disclaimer)
Trading in financial markets carries a significant risk of loss and is not suitable for all investors. The information and signals provided by this indicator are for educational and analysis purposes only and should not be construed as financial advice. The past performance of any trading system or methodology is not necessarily indicative of future results. The user assumes all responsibility for their own trading decisions and any resulting losses or gains.
Williams %R smoothed🌍 English Description
Williams %R Smoothed – by Ján Salma
This is the first smoothed version of the Williams %R indicator published on TradingView.
The traditional Williams %R is a momentum oscillator that can be very choppy and noisy. Many traders find it hard to use because of the constant whipsaws.
This indicator solves that problem by applying an EMA smoothing on top of the raw Williams %R values.
Why is this special?
[* ]📉 Reduces noise → much cleaner signal, fewer false spikes.
🔍 Highlights real momentum shifts → easier to spot when the market truly changes direction.
🎯 Customizable smoothing → you decide how sensitive or smooth the curve should be.
⚡ Unique → currently, there is no other smoothed Williams %R available on TradingView.
Settings
Length → default 14 (standard Williams %R period).
Smoothing → default 3 EMA (smooths out the raw values).
Levels: -20 (overbought), -80 (oversold), -50 (mid-level).
This indicator is great for scalpers and swing traders who love Williams %R but hate the noise.
Now you can finally use %R with more confidence and clarity.
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Slovenský popis
Williams %R Smoothed – od Jána Salmu
Toto je prvá vyhladená verzia Williams %R indikátora publikovaná na TradingView.
Klasický Williams %R je oscilátor hybnosti, ktorý je často veľmi „roztrasený“ a plný šumu. Mnoho traderov s ním preto pracuje ťažko, pretože dáva veľa falošných signálov.
Tento indikátor to rieši tak, že na pôvodné hodnoty Williams %R aplikuje EMA vyhladenie .
Čo robí tento indikátor výnimočným?
📉 Redukuje šum → výsledná krivka je čistejšia, s menej falošnými výkyvmi.
🔍 Zvýrazňuje skutočné zmeny hybnosti → jasnejšie vidíš, kedy sa trh naozaj otáča.
🎯 Nastaviteľné vyhladenie → citlivosť indikátora si prispôsobíš podľa seba.
⚡ Unikát → na TradingView zatiaľ neexistuje žiadny iný vyhladený Williams %R.
Nastavenia
Dĺžka → predvolená hodnota 14 (štandardný Williams %R).
Smoothing (EMA) → predvolená hodnota 3 (vyhladenie krivky).
Úrovne: -20 (prekúpený trh), -80 (prepredaný trh), -50 (stredová hodnota).
Tento indikátor je skvelý pre scalperov aj swing traderov, ktorí majú radi Williams %R, ale chcú ho používať s väčšou presnosťou a prehľadnosťou.
3CRGANG - Sessions3CRGANG - Sessions
This indicator displays a table showing the status of major global trading sessions (NYSE, LSE, FSE, ASX, TSE, HKSE) with real-time updates, customizable timezones, and visualization settings. It includes holiday detection, session alerts, and detailed tooltips for weekly schedules, tailored for stocks, forex, futures, crypto, commodities, and indices.
Features:
Sessions Table: Displays the status of six major exchanges (New York, London, Frankfurt, Sydney, Tokyo, Hong Kong) with color-coded indicators for active, pre-open, and closed states.
Timezone Support: Choose from a wide range of global timezones to align session times with your local time.
Visualization Options: Select device template (Desktop, Tablet, Mobile) and color theme (Light or Dark) for optimal display.
Holiday Detection: Integrates holiday schedules for each exchange, including half-day closures (e.g., Lunar New Year for HKSE), with alerts for session closures.
Session Alerts: Configurable alerts for pre-open (30 or 5 minutes), open, pre-close (30 or 5 minutes), close, and holiday events for each exchange.
Tooltips: Detailed weekly schedules in tooltips, showing session times, holidays, and time until open/close in the user’s timezone.
Time Settings:
Timezone: Select from global timezones (e.g., UTC+3 Jerusalem, UTC-4 New York).
Time Format: Choose between Standard (12-hour with AM/PM) or Military (24-hour) time.
Visualization Setup:
Device: Select Desktop, Tablet, or Mobile template to adjust table size and text.
Color Theme: Choose Light or Dark theme for visual elements.
Sessions Dashboard:
Sessions Table Position: Set the position of the sessions table (e.g., top-right, bottom-center).
Notifications Settings:
Enable Alerts: Toggle alerts for NYSE, LSE, FSE, ASX, TSE, and HKSE sessions (pre-open, open, pre-close, close, and holiday events).
Notes:
Session Status: Active sessions are highlighted with exchange-specific colors (e.g., green for NYSE, cyan for LSE), pre-open sessions in yellow, and closed sessions in grey.
Holiday Handling: Automatically adjusts for full and half-day holidays, with early close times applied (e.g., HKSE Lunar New Year).
Tooltip Details: Shows a weekly schedule for each exchange, including open/close times, holiday notes, and time until the next session event in the user’s timezone.
Market Detection: Supports various asset types (stocks, forex, futures, crypto, commodities, indices) with accurate session detection for regular (RTH), extended (ETH), and electronic trading hours.
Performance: Ensure sufficient chart history for accurate session and holiday calculations.
Usage: Customize the table position, device template, and alerts to suit your trading needs. Use tooltips to monitor session schedules and upcoming events.
Auto Reference Relative Valuation Oscillator📌 Auto Reference Relative Valuation Oscillator
🧠 What does this script do?
This indicator shows whether the current asset is overvalued or undervalued compared to a reference symbol like:
- TVC:DXY – US Dollar Index
- TVC:GOLD – Gold
- CRYPTOCAP:BTC – Total BTC Market Cap
- SP:SPX – S&P 500 Index
- TVC:USOIL – US Crude Oil
It uses the ratio:
price of current asset ÷ price of reference asset
Then normalizes this ratio into a 0–100 oscillator scale .
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⚙️ Settings:
- Asset Group : Choose your reference symbol by group (Forex, Gold, Crypto, etc.)
- Lookback Period : Period used for calculating high/low bounds (default: 14)
- Upper Bound : Overvaluation threshold (default: 90)
- Lower Bound : Undervaluation threshold (default: 10)
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📈 How to use:
- Values above 80–90 → Asset is likely overvalued
- Values below 20–10 → Asset is likely undervalued
- Combine with Supply/Demand Zones , and price action to spot high-probability trade entries.
Example:
If the indicator is undervalued AND price touches a demand zone → Potential BUY
If the indicator is overvalued AND price hits a supply zone → Potential
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✅ Best for:
- Multi-asset traders
- Forex and Crypto trading
- Intermarket analysis
- Confluence with fundamental/macroeconomic models
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🧩 No coding or setup needed:
Just apply the indicator, choose your asset group, and trade smartly based on valuation.
3CRGANG - CANDLE CLOSE TIMER3CRGANG - CANDLE CLOSE TIMER
This indicator displays a timer for the current candle’s close and a multi-timeframe (MTF) timer table, showing the time remaining for various timeframes. It supports customizable timezones, visualization settings, and alerts for new candle openings and pre-close notifications, with filters for trading sessions and holidays.
Features:
Candle Timer: Displays the time remaining until the current candle closes, with color-coded visuals based on candle direction (green for up, red for down, gold when nearing close).
MTF Timer Table: Shows time remaining for multiple timeframes (M5, M15, M30, H1, H4, D, W, M, Q, Y) with a gradient-colored progress bar (green to red as time decreases).
Timezone Support: Choose from a wide range of timezones to align timer and alerts with your local time.
Visualization Options: Select device template (Desktop, Tablet, Mobile) and color theme (Light or Dark) for optimal display.
Alerts: Configurable alerts for new candle openings and pre-close thresholds across multiple timeframes, with session and holiday filters.
Session and Holiday Filters: Supports major exchanges (NYSE, LSE, FSE, SSX, TSE, HKSE) with holiday schedules and half-day considerations.
Do Not Disturb (DND): Set DND periods to suppress alerts during specific hours.
Time Settings:
Timezone: Select from a list of global timezones (e.g., UTC+3 Jerusalem, UTC-4 New York).
Time Format: Choose between Standard (12-hour with AM/PM) or Military (24-hour) time.
Visualization Setup:
Device: Select Desktop, Tablet, or Mobile template to adjust table sizes.
Color Theme: Choose Light or Dark theme for visual elements.
Timer Dashboard:
Timer Table Position: Set the position of the main timer table (e.g., top-right, bottom-center).
MTF Timer Dashboard:
Hide MTF Timer Table: Toggle visibility (off by default on Mobile template).
MTF Timer Table Position: Set position for the MTF timer table.
Offset Table Position: Adjust the Y-axis offset for the MTF table.
Notifications Settings:
Enable Alerts: Toggle alerts for Yearly, Quarterly, Monthly, Weekly, Daily, H4, H1, M30, and M15 timeframes.
Pre-Alert Threshold: Set the percentage of candle duration remaining for pre-close alerts (0–100%).
DND Settings:
Weekend Alerts: Enable/disable alerts during weekends.
DND Mode: Set start and end times for suppressing alerts.
Session Alerts Filter:
Holiday Alerts: Enable/disable alerts on exchange holidays.
Exchange Alerts: Toggle alerts for NYSE, LSE, FSE, SSX, TSE, and HKSE sessions.
Notes:
The indicator supports various asset types (stocks, forex, futures, crypto, commodities, indices) with tailored session detection.
The MTF timer table is hidden on Mobile template by default to optimize screen space.
Alerts respect user-defined session filters, holiday schedules, and DND settings for major exchanges.
Ensure sufficient chart history for accurate timeframe calculations.
Use the settings to customize timer display, alert behavior, and session filters to match your trading strategy.
MACD, RSI, DMI ComboMACD RSI DMI All In One indicator
To save slot
Default setting, custom settings available
gold scaling_V2.2 (Zone-Driven Entries + BB Entries) — Dual-Set
Short Description (for the “Description” box)
gold scaling_V2.2 (Zone-Driven Entries + BB Entries) — Dual-Set
Two coordinated entry engines. Set A (Zone-Driven): dynamic buy/sell zones with anti-chase (first-touch, flip-guard, hysteresis), TP1–TP5 ladder, and smart SL (BE/Follow/Chandelier). Set B (BB mini): fast Bollinger-based entries with HTF/BBW filters. Compact HUD, Heads-Up ETA, and full Text/JSON alerts (ENTRY/TP/SL). Built for disciplined entries, not FOMO.
Full Description
Overview
This indicator enforces disciplined entries by combining two complementary systems:
Set A — Zone-Driven Entries: builds adaptive buy/sell zones (ATR-aware), confirms entries in two steps (touch → confirm), and manages exits with a TP ladder and intelligent SL logic (move to Break-Even at TP1, follow by TP levels, or optional Chandelier trail). Includes zone lock/re-arm after real breakouts.
Set B — BB Entries (mini): lightweight Bollinger-based “mini” entries (Revert Cross or Cross Threshold) that respect HTF EMA slope and BB Width filters.
Timeframes:
Set A (Zone) works best on M15–H1; Set B (mini) is great for M5–M30 to catch tactical moves inside the bigger structure.
Quick Start
Add to chart → Entry Sets: enable Set A (Zone) and/or Set B (BB mini).
Alerts: turn on Enable Auto Alerts and create one alert with Any alert() function call → Once per bar close.
Webhook/automation: toggle Use JSON to emit machine-readable alerts.
Filters: enable HTF Trend Filter and/or BB Width filter to improve signal quality.
Stops: choose SL mode (ATR ×, Percent, Points). Configure SL→BE on TP1, Follow by TP, or Chandelier Trail.
Signal Architecture
Set A — Zone-Driven (primary entries)
Trigger: price touches/crosses zone edge → pending → confirm with hysteresis and minimum real body (ATR-scaled) aligned with side.
Anti-Chase: firstTouchOnly, max entries per zone, flipGuardBars, optional body-displacement (ATR×), and global lock after any entry.
Breakout Handling: lock zones after a meaningful break (close beyond edge ≥ ATR×). Re-arm by Retest / Time / Retest OR Time.
TP Ladder: TP1–TP5 lines with labels and fills.
Smart SL: move to BE at TP1, follow TP levels (rate-limited and ATR-buffered), or Chandelier.
Set B — BB Entries (mini)
Modes: Revert Cross (default) or Cross Threshold.
Honors HTF EMA slope and BB Width if enabled.
Separate per-side cooldown to reduce spam.
Heads-Up & HUD
Heads-Up ETA: estimates minutes to nearest band/basis or compression-to-expansion spike.
HUD: shows symbol/TF/side, Entry/SL, TP1–TP5 RR snapshot, W/L from Zone set, and HU/Vol lines.
Alerts
Auto alerts (recommended, via alert())
Create one alert: Any alert() function call → Once per bar close. It covers everything.
ENTRY (Zone):
Key Settings (what matters most)
Strategy Settings: tradeDirection (gate signals by side), entryStrategy for BB.
Entry Sets: toggle Set A (Zone) and Set B (BB mini) independently.
Bollinger Bands Settings: bbLength, bbMult; if BB Width filter is on, define min/max width (% of price).
Alert Settings: Enable Auto Alerts, Use JSON, cooldownSeconds, maxOneTPPerBar.
Anti-Chase / Zone State: firstTouchOnly, maxEntriesPerZonePerSide, flipGuardBars, requireRetest, hysteresisAtrMult, confirmBodyAtrMult, globalLockBars, lockZonesOnBreakout, rearmMode.
Stop Loss: SL mode + SL→BE on TP1, Follow by TP (slMoveFraction, confirm/hold bars, ATR buffer), Chandelier.
TP Zones: mult_dist for step size, zoneExpireBars for auto-cleanup.
HUD/Labels: mini label colors, HUD theme/size.
Tuning Guide
Too few entries: reduce flipGuardBars, confirmBodyAtrMult, or hysteresisAtrMult; relax BB width bounds; increase maxEntriesPerZonePerSide.
Noisy/fake entries: raise flipGuardBars, enable requireFlipDisplacement (increase flipDispATRmult), tighten BB width bounds, enable alertsFollowTradeDirection.
SL moves too fast/slow: adjust slMinBarsBetweenMoves, slFollowConfirmBars, slMoveFraction, and slFollowAtrBufferMult.
Prefer retests after breaks: lockZonesOnBreakout = true + rearmMode = "Retest only".
Repaint & Transparency
Entries fire on bar close when alertsOnClose=true (default), with multi-layer confirmation to reduce hindsight changes.
Heads-Up/Spike are predictive helpers, not entry rules; they may update as new data comes in.
Visual overlays (divergence/oscillators) are supportive, not mandatory to the entry logic.
KK🚦LightKK Light is for 5min ~ 15min ETH/BTC only
The red triangles indicate selling, and the green ones indicate buying.
When the colored lights appear, you should be more careful.
The colored squares mean that you should stop what you're doing right now.
You can contact me for more details
Machine Learning Gaussian Mixture Model | AlphaNattMachine Learning Gaussian Mixture Model | AlphaNatt
A revolutionary oscillator that uses Gaussian Mixture Models (GMM) with unsupervised machine learning to identify market regimes and automatically adapt momentum calculations - bringing statistical pattern recognition techniques to trading.
"Markets don't follow a single distribution - they're a mixture of different regimes. This oscillator identifies which regime we're in and adapts accordingly."
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🤖 THE MACHINE LEARNING
Gaussian Mixture Models (GMM):
Unlike K-means clustering which assigns hard boundaries, GMM uses probabilistic clustering :
Models data as coming from multiple Gaussian distributions
Each market regime is a different Gaussian component
Provides probability of belonging to each regime
More sophisticated than simple clustering
Expectation-Maximization Algorithm:
The indicator continuously learns and adapts using the E-M algorithm:
E-step: Calculate probability of current market belonging to each regime
M-step: Update regime parameters based on new data
Continuous learning without repainting
Adapts to changing market conditions
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🎯 THREE MARKET REGIMES
The GMM identifies three distinct market states:
Regime 1 - Low Volatility:
Quiet, ranging markets
Uses RSI-based momentum calculation
Reduces false signals in choppy conditions
Background: Pink tint
Regime 2 - Normal Market:
Standard trending conditions
Uses Rate of Change momentum
Balanced sensitivity
Background: Gray tint
Regime 3 - High Volatility:
Strong trends or volatility events
Uses Z-score based momentum
Captures extreme moves
Background: Cyan tint
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💡 KEY INNOVATIONS
1. Probabilistic Regime Detection:
Instead of binary regime assignment, provides probabilities:
30% Regime 1, 60% Regime 2, 10% Regime 3
Smooth transitions between regimes
No sudden indicator jumps
2. Weighted Momentum Calculation:
Combines three different momentum formulas
Weights based on regime probabilities
Automatically adapts to market conditions
3. Confidence Indicator:
Shows how certain the model is (white line)
High confidence = strong regime identification
Low confidence = transitional market state
Line transparency changes with confidence
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⚙️ PARAMETER OPTIMIZATION
Training Period (50-500):
50-100: Quick adaptation to recent conditions
100: Balanced (default)
200-500: Stable regime identification
Number of Components (2-5):
2: Simple bull/bear regimes
3: Low/Normal/High volatility (default)
4-5: More granular regime detection
Learning Rate (0.1-1.0):
0.1-0.3: Slow, stable learning
0.3: Balanced (default)
0.5-1.0: Fast adaptation
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📊 TRADING STRATEGIES
Visual Signals:
Cyan gradient: Bullish momentum
Magenta gradient: Bearish momentum
Background color: Current regime
Confidence line: Model certainty
1. Regime-Based Trading:
Regime 1 (pink): Expect mean reversion
Regime 2 (gray): Standard trend following
Regime 3 (cyan): Strong momentum trades
2. Confidence-Filtered Signals:
Only trade when confidence > 70%
High confidence = clearer market state
Avoid transitions (low confidence)
3. Adaptive Position Sizing:
Regime 1: Smaller positions (choppy)
Regime 2: Normal positions
Regime 3: Larger positions (trending)
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🚀 ADVANTAGES OVER OTHER ML INDICATORS
vs K-Means Clustering:
Soft clustering (probabilities) vs hard boundaries
Captures uncertainty and transitions
More mathematically robust
vs KNN (K-Nearest Neighbors):
Unsupervised learning (no historical labels needed)
Continuous adaptation
Lower computational complexity
vs Neural Networks:
Interpretable (know what each regime means)
No overfitting issues
Works with limited data
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📈 PERFORMANCE CHARACTERISTICS
Best Market Conditions:
Markets with clear regime shifts
Volatile to trending transitions
Multi-timeframe analysis
Cryptocurrency markets (high regime variation)
Key Strengths:
Automatically adapts to market changes
No manual parameter adjustment needed
Smooth transitions between regimes
Probabilistic confidence measure
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🔬 TECHNICAL BACKGROUND
Gaussian Mixture Models are used extensively in:
Speech recognition (Google Assistant)
Computer vision (facial recognition)
Astronomy (galaxy classification)
Genomics (gene expression analysis)
Finance (risk modeling at investment banks)
The E-M algorithm was developed at Stanford in 1977 and is one of the most important algorithms in unsupervised machine learning.
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💡 PRO TIPS
Watch regime transitions: Best opportunities often occur when regimes change
Combine with volume: High volume + regime change = strong signal
Use confidence filter: Avoid low confidence periods
Multi-timeframe: Compare regimes across timeframes
Adjust position size: Scale based on identified regime
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⚠️ IMPORTANT NOTES
Machine learning adapts but doesn't predict the future
Best used with other confirmation indicators
Allow time for model to learn (100+ bars)
Not financial advice - educational purposes
Backtest thoroughly on your instruments
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🏆 CONCLUSION
The GMM Momentum Oscillator brings institutional-grade machine learning to retail trading. By identifying market regimes probabilistically and adapting momentum calculations accordingly, it provides:
Automatic adaptation to market conditions
Clear regime identification with confidence levels
Smooth, professional signal generation
True unsupervised machine learning
This isn't just another indicator with "ML" in the name - it's a genuine implementation of Gaussian Mixture Models with the Expectation-Maximization algorithm, the same technology used in:
Google's speech recognition
Tesla's computer vision
NASA's data analysis
Wall Street risk models
"Let the machine learn the market regimes. Trade with statistical confidence."
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Developed by AlphaNatt | Machine Learning Trading Systems
Version: 1.0
Algorithm: Gaussian Mixture Model with E-M
Classification: Unsupervised Learning Oscillator
Not financial advice. Always DYOR.
Stockbee Reversal BullishCustom indicator for identifying stocks that meet the Stockbee's Reversal Bullish criteria. This can be used as a standalone indicator or use it to screen for stocks in Pine Screener.
AI-Weighted RSI (Zeiierman)█ Overview
AI-Weighted RSI (Zeiierman) is an adaptive oscillator that enhances classic RSI by applying a correlation-weighted prediction layer. Instead of looking only at RSI values directly, this indicator continuously evaluates how other price- and volume-based features (returns, volatility, volume shifts) correlate with RSI, and then weights them accordingly to project the next RSI state.
The result is a smoother, forward-looking RSI framework that adapts to market conditions in real time.
By leveraging feature correlation instead of static formulas, AI-Weighted RSI behaves like a lightweight learning model, adjusting its emphasis depending on which features are most aligned with RSI behavior during the current regime.
█ How It Works
⚪ Feature Extraction
Each bar, the script computes features: log returns, RSI itself, ATR% (volatility), volume, and volume log-change.
⚪ Correlation Screening
Over a rolling learning window, it measures the correlation of each feature against RSI. The strongest relationships are ranked and selected.
⚪ Adaptive Weighting
Features are standardized (z-scored), then combined using their signed correlations as weights, building a rolling, adaptive prediction of RSI.
⚪ Prediction to RSI Weight
The predicted RSI is mapped back into a “weight” scale (±2 by default). Above 0 = bullish bias, below 0 = bearish bias, with color-graded fills to visualize overbought/oversold pressure.
⚪ Signal Line
A smoothing option (signal length) overlays a moving average of the AI-Weighted RSI for clearer trend confirmation.
█ Why AI-Weighted RSI
⚪ Adaptive to Market Regime
Because the model re-evaluates correlations continuously, it naturally shifts which features dominate, sometimes volatility explains RSI best, sometimes volume, sometimes returns.
⚪ Forward-Looking Bias
Instead of simply reflecting RSI, the model provides a projection, helping anticipate shifts in momentum before RSI itself flips.
█ How to Use
⚪ Directional Bias
Read the RSI relative to 0. Above = bullish momentum bias, below = bearish.
⚪ Overbought / Oversold Zones
Shaded fills beyond +0.5 or -0.5 highlight extremes where RSI pressure often exhausts.
⚪ Divergences
When price makes new highs/lows but AI-Weighted RSI fails to confirm, it often signals weakening momentum.
█ Settings
RSI Length: Lookback for the core RSI calculation.
Signal Length: Smoothing applied to the AI-Weighted RSI output.
Learning Window: Bars used for correlation learning and z-scoring.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
عكفة الماكد المتقدمة - أبو فارس ©// 🔒 Advanced MACD Curve © 2025
// 💡 Idea & Creativity: Engineer Abu Elias
// 🛠️ Development & Implementation: Abu Fares
// 📜 All intellectual rights reserved - Copying, modifying, or redistributing is not permitted
// 🚫 Any attempt to tamper with this code or violate intellectual property rights is legally prohibited
// 📧 For inquiries and licensing: Please contact the developer, Abu Fares
عكفة الماكد المتقدمة - أبو فارس ©// 🔒 عكفة الماكد المتقدمة © 2025
// 💡 فكرة وإبداع: المهندس أبو الياس
// 🛠️ تطوير وتنفيذ: أبو فارس
// 📜 جميع الحقوق الفكرية محفوظة - لا يُسمح بالنسخ أو التعديل أو إعادة التوزيع
// 🚫 أي محاولة للعبث بهذا الكود أو انتهاك الحقوق الفكرية مرفوضة قانونياً
// 📧 للاستفسارات والتراخيص: يرجى التواصل مع المطور أبو فارس
// 🔒 Advanced MACD Curve © 2025
// 💡 Idea & Creativity: Engineer Abu Elias
// 🛠️ Development & Implementation: Abu Fares
// 📜 All intellectual rights reserved - Copying, modifying, or redistributing is not permitted
// 🚫 Any attempt to tamper with this code or violate intellectual property rights is legally prohibited
// 📧 For inquiries and licensing: Please contact the developer, Abu Fares
[ClearEdege] Momentum Suites V3 Advanced contrarian momentum analysis with intelligent pivot point integration for precision market timing. Developed for ClearEdge members
*This indicator is not publicly available.
Key Features
Smart Signal System
- Buy Low/Sell High Logic: Identifies oversold conditions for long entries and overbought conditions for short entries
- Multi-Timeframe Confirmation: Incorporates higher timeframe bias for enhanced signal reliability
- Momentum Convergence: Combines RSI, StochRSI, and Bollinger Bands for comprehensive market analysis
Dynamic Pivot Integration
- Classic Pivot Points: Auto-calculated daily/weekly/monthly support and resistance levels
- Pivot Confluence Detection: Signals gain strength when price approaches key pivot levels
- Smart Warning System: Single-alert approach prevents label spam while highlighting critical S/R interactions
Table Dashboard
- Compact Signal Table: Real-time buy/sell signal strength with scoring system
- Market Context: Momentum status, nearest pivot level, volume and trend analysis
- Clean Visual Design: Minimal interface focused on actionable information
Intelligent Alerts
- Approach Warnings: Alerts when price nears resistance with overbought momentum or support with oversold momentum
- Confluence Signals: High-probability setups combining momentum extremes with pivot level proximity
- Single-Shot Logic: Prevents alert fatigue with smart reset mechanisms
Best Use Cases
- Swing Trading: Ideal for identifying major reversal points at key levels
- Risk Management: Clear warning system for potential turning points
- Multi-Asset Analysis: Works across forex, crypto, stocks, and commodities
- All Timeframes: Scalable from 5-minute charts to daily analysis
Designed for traders who value precision over noise - combining classical pivot analysis with modern momentum indicators for superior market timing.
Hurst Momentum Oscillator | AlphaNattHurst Momentum Oscillator | AlphaNatt
An adaptive oscillator that combines the Hurst Exponent - which identifies whether markets are trending or mean-reverting - with momentum analysis to create signals that automatically adjust to market regime.
"The Hurst Exponent reveals a hidden truth: markets aren't always trending. This oscillator knows when to ride momentum and when to fade it."
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📐 THE MATHEMATICS
Hurst Exponent (H):
Measures the long-term memory of time series:
H > 0.5: Trending (persistent) behavior
H = 0.5: Random walk
H < 0.5: Mean-reverting behavior
Originally developed for analyzing Nile river flooding patterns, now used in:
Fractal market analysis
Network traffic prediction
Climate modeling
Financial markets
The Innovation:
This oscillator multiplies momentum by the Hurst coefficient:
When trending (H > 0.5): Momentum is amplified
When mean-reverting (H < 0.5): Momentum is reduced
Result: Adaptive signals based on market regime
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💎 KEY ADVANTAGES
Regime Adaptive: Automatically adjusts to trending vs ranging markets
False Signal Reduction: Reduces momentum signals in mean-reverting markets
Trend Amplification: Stronger signals when trends are persistent
Mathematical Edge: Based on fractal dimension analysis
No Repainting: All calculations on historical data
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📊 TRADING SIGNALS
Visual Interpretation:
Cyan zones: Bullish momentum in trending market
Magenta zones: Bearish momentum or mean reversion
Background tint: Blue = trending, Pink = mean-reverting
Gradient intensity: Signal strength
Trading Strategies:
1. Trend Following:
Trade momentum signals when background is blue (trending)
2. Mean Reversion:
Fade extreme readings when background is pink
3. Regime Transition:
Watch for background color changes as early warning
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🎯 OPTIMAL USAGE
Best Conditions:
Strong trending markets (crypto bull runs)
Clear ranging markets (forex sessions)
Regime transitions
Multi-timeframe analysis
Market Applications:
Crypto: Excellent for identifying trend persistence
Forex: Detects when pairs are ranging
Stocks: Identifies momentum stocks
Commodities: Catches persistent trends
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Developed by AlphaNatt | Fractal Market Analysis
Version: 1.0
Classification: Adaptive Regime Oscillator
Not financial advice. Always DYOR.
EMA + Bollinger + VWAP bySaMAll in one
EMA 20/50/200
BOLLINGER
VWAP
All in one for perfect market watching
MOM + MACD + RSI + DIV bySaMAll indicators in ONE
MOMENTUM
MACD
RSI
DIVERGENCE
All in one scaled for perfect market watching
Ark FCI OscillatorFinancial Conditions Index Oscillator
This indicator tracks week-over-week changes in the National Financial Conditions Index (NFCI), providing a dynamic view of evolving financial conditions in the United States.
Overview
The National Financial Conditions Index (NFCI) is a comprehensive weekly composite index published by the Federal Reserve Bank of Chicago. It measures financial conditions across U.S. money markets, debt and equity markets, and the traditional and shadow banking systems.
Interpretation
Positive values indicate improving financial conditions
Negative values signal deteriorating financial conditions
Risk assets demonstrate particular sensitivity to changes in financial conditions, making this oscillator valuable for market timing and risk assessment.
Alternative Data Source
Users can modify the source to FRED:NFCIRISK to focus specifically on risk dynamics. The NFCIRISK subindex isolates volatility and funding risk measures within the financial sector, capturing market volatility indicators and liquidity shortage probabilities while excluding broader credit and leverage conditions.
Fisher Volume Transform | AlphaNattFisher Volume Transform | AlphaNatt
A powerful oscillator that applies the Fisher Transform - converting price into a Gaussian normal distribution - while incorporating volume weighting to identify high-probability reversal points with institutional participation.
"The Fisher Transform reveals what statistics professors have known for decades: when you transform market data into a normal distribution, turning points become crystal clear."
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🎲 THE MATHEMATICS
Fisher Transform Formula:
The Fisher Transform converts any bounded dataset into a Gaussian distribution:
y = 0.5 × ln((1 + x) / (1 - x))
Where x is normalized price (-1 to 1 range)
Why This Matters:
Market extremes become statistically identifiable
Turning points are amplified and clarified
Removes the skew from price distributions
Creates nearly instantaneous signals at reversals
Volume Integration:
Unlike standard Fisher Transform, this version weights price by relative volume:
High volume moves get more weight
Low volume moves get filtered out
Identifies institutional participation
Reduces false signals from retail chop
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💎 KEY ADVANTAGES
Statistical Edge: Transforms price into normal distribution where extremes are mathematically defined
Volume Confirmation: Only signals with volume support
Early Reversal Detection: Fisher Transform amplifies turning points
Clean Signals: Gaussian distribution reduces noise
No Lag: Mathematical transformation, not averaging
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⚙️ SETTINGS OPTIMIZATION
Fisher Period (5-30):
5-9: Very sensitive, many signals
10: Default - balanced sensitivity
15-20: Moderate smoothing
25-30: Major reversals only
Volume Weight (0.1-1.0):
0.1-0.3: Minimal volume influence
0.5-0.7: Balanced price/volume
0.7: Default - strong volume weight
0.8-1.0: Volume dominant
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📊 TRADING SIGNALS
Primary Signals:
Zero Cross Up: Bullish momentum shift
Zero Cross Down: Bearish momentum shift
Signal Line Cross: Early reversal warning
Extreme Readings (±75): Potential reversal zones
Visual Interpretation:
Cyan zones: Bullish momentum
Magenta zones: Bearish momentum
Gradient intensity: Strength of move
Histogram: Raw momentum power
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🎯 OPTIMAL USAGE
Best Market Conditions:
Range-bound markets (reversals clear)
High volume periods
Major support/resistance levels
Divergence hunting
Trading Strategies:
1. Extreme Reversal:
Enter when oscillator exceeds ±75 and reverses
2. Zero Line Momentum:
Trade crosses of zero line with volume confirmation
3. Signal Line Strategy:
Early entry on signal line crosses
4. Divergence Trading:
Price makes new high/low but Fisher doesn't
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Developed by AlphaNatt | Quantitative Trading Systems
Version: 1.0
Classification: Statistical Transform Oscillator
Not financial advice. Always DYOR.
RSI + Sell/Buy RatesEnglish follow
Sell/Buy Rates = des barres vert/rouge qui mesurent la pression acheteurs vs vendeurs (calculé à partir des bougies et du volume), centrées sur 50. > 50 (vert) : acheteurs dominent. < 50 (rouge) : vendeurs dominent. Plus loin de 50 ⇒ plus fort. Avec le RSI : on ne fait que confirmer — RSI > 50 et barres > 50 → acheteurs ; RSI < 50 et barres < 50 → vendeurs ; sinon on s’abstient.
Sell/Buy Rates = green/red bars that measure buyer vs. seller pressure (calculated from candles and volume), centered at 50.
> 50 (green): buyers dominate. < 50 (red): sellers dominate.
Farther from 50 ⇒ stronger.
With RSI: it’s just a confirmation — RSI > 50 and bars > 50 → buyers; RSI < 50 and bars < 50 → sellers; otherwise, stand aside.
