Aslan | Momentum Matrix [6.5]The Aslan Momentum Matrix is a highly adaptive momentum and reversal detection tool built for modern traders. By integrating normalized price action, smart money volume flow, divergence analysis, and multi-factor confluence logic, it offers precise real-time insights into trend strength, potential reversals, and underlying market conviction. The indicator can operate independently or serve as a powerful confirmation engine alongside other systems.
HyperWave Oscillator
The HyperWave Oscillator is the core momentum engine of the Momentum Matrix. It evaluates how far price has deviated from its recent range using a normalized calculation between the high, low, and average. The resulting value is smoothed using either a Simple or Exponential Moving Average, which the user can configure. A secondary smoothing line helps confirm momentum shifts via crossovers and crossunders. This oscillator excels at identifying moments when momentum begins to build or fade, providing early indications of trend continuation or exhaustion.
Divergence Detection
This feature automatically identifies and plots bullish and bearish divergences between price and the oscillator. It evaluates whether recent price highs or lows are out of alignment with the oscillator's internal momentum, signaling potential trend reversals. The sensitivity can be adjusted to detect either short-term or longer-term divergences. Lines are drawn directly on the chart to visually mark divergence zones, adding clarity and precision to your analysis.
Smart Money Flow
The Smart Money Flow module uses a smoothed Money Flow Index (MFI) to highlight the directional bias of volume. It captures the behavior of larger market participants by analyzing how volume aligns with price action over time. Adaptive boundary logic tracks historical average flow levels, allowing the indicator to highlight when current flow is unusually strong or weak. Shaded regions within the oscillator help visualize periods of buying or selling pressure, giving deeper insight into whether a move is supported by real market conviction.
Reversal Factor Engine
This system is designed to capture high-conviction reversal points using a combination of volume surges, oscillator extremes, and confluence from smart money activity. It produces two levels of reversal signals: major signals when all conditions align with strong volume, and minor signals when volume is moderate but momentum and structure suggest a shift. The user can control the strictness of this logic using a 1–10 scale. This feature is particularly effective at catching early trend reversals with a strong risk-to-reward profile.
Confluence Meter
The Confluence Meter is a vertical visual scale displayed next to the oscillator that summarizes alignment between the HyperWave oscillator and Smart Money Flow. When both are in agreement, the meter shows stronger bullish or bearish coloration depending on direction. When there is disagreement, the confluence level weakens. This visual element is designed to provide traders with a quick, intuitive understanding of market alignment without needing to analyze each component separately.
Confluence Area Zones
Confluence Area Zones are shaded regions above and below the oscillator that dynamically appear when both the oscillator and smart money flow are aligned in the same direction. A bullish zone forms when both are positive, while a bearish zone appears when both are negative. These zones help clarify the prevailing directional bias of the market and add contextual depth to momentum signals. When there is no confluence, the zones fade, reducing visual noise on the chart.
Volume-Based Reversal Filtering
Reversal signals are filtered using volume context to ensure they are not triggered during low-activity or indecisive conditions. A moving average of volume is used as a benchmark to determine whether current volume levels are significant enough to validate a reversal. Additional filters, including RSI thresholds and momentum slope, help confirm that reversals are not only statistically likely but also supported by market participation. This filtering increases the reliability of both major and minor reversal signals.
Visualization and Customization
The indicator is designed with clear visual communication in mind. Signals are plotted using distinct shapes and colors, with gradients to show strength and transparency to reduce clutter. Every component can be toggled on or off depending on user preference, allowing traders to tailor the visual layout to suit their workflow. Whether you prefer a clean oscillator or a fully-loaded momentum dashboard, the Momentum Matrix adapts to your needs.
The Aslan Momentum Matrix combines structure, momentum, volume, and institutional logic into a single oscillator framework. Its real strength lies in its ability to adapt to any strategy, whether you're trend following, trading reversals, or managing confluence-based setups. By leveraging advanced volume analytics, real-time divergences, and configurable signal filters, this tool provides a clear, data-backed perspective on market direction and momentum. It’s built for traders who want precision, flexibility, and actionable insight across all market conditions.
Oscylatory
Omega Ratio -> PROFABIGHI_CAPITAL🌟 Overview
This Omega Ratio → PROFABIGHI_CAPITAL implements advanced probability-weighted risk-return measurement providing superior portfolio performance analysis through gain-to-loss ratio assessment.
It provides Enhanced Omega Ratio calculation with target return benchmarking , Cumulative gain and loss analysis for comprehensive risk assessment , EMA smoothing for trend clarity and signal enhancement , and Dynamic threshold-based visualization with performance classification for institutional-grade portfolio evaluation and risk management.
🔧 Advanced Probability-Based Risk Framework
- Professional Omega Ratio implementation measuring probability-weighted gains versus losses for superior risk-return analysis
- Source Selection Architecture with customizable price input enabling close, high, low, or other price sources for flexible analysis adaptation
- Calculation Period Management with adjustable lookback period balancing statistical significance versus market responsiveness for reliable measurement
- Target Return Configuration enabling custom performance benchmarks against specific return objectives and investment goals
- EMA Smoothing Framework reducing market noise while preserving trend identification through exponential moving average filtering
- Dynamic Threshold System with strong and weak performance classification boundaries for objective portfolio assessment
- High-Precision Measurement using three decimal place accuracy for detailed ratio tracking and performance monitoring
📊 Omega Ratio Calculation Engine
- Periodic Returns Computation calculating bar-to-bar percentage changes for accurate return measurement across different timeframes and market conditions
- Target Return Conversion transforming percentage input into decimal values for proper mathematical comparison and threshold application
- Cumulative Gains Analysis measuring total returns above target threshold for positive performance assessment and alpha generation tracking
- Cumulative Losses Assessment calculating total returns below target threshold for comprehensive downside risk measurement and evaluation
- Gain-to-Loss Ratio Calculation implementing Omega formula as ratio of cumulative gains to cumulative losses for probability-weighted performance
- Zero-Division Protection handling edge cases where no losses occur through proper mathematical validation and na value management
- Statistical Accuracy using proper mathematical methodology for reliable ratio calculation and trend identification
🔬 Advanced Statistical Implementation Framework
- Cumulative Return Accumulation tracking total gains above target and total losses below target over calculation period
- Threshold-Based Separation categorizing returns as gains or losses relative to target return for accurate performance classification
- Mathematical Precision [/b> implementing proper excess return calculations above and below target thresholds with statistical accuracy
- Loop-Based Calculation using efficient iteration through historical returns for cumulative gain and loss measurement
- Null Value Handling using nz() function to manage missing values and ensure continuous calculation reliability
- Edge Case Management preventing calculation errors through comprehensive validation and mathematical safeguards
- Performance Optimization using efficient calculation methods for real-time ratio updates and system responsiveness
📈 EMA Smoothing and Signal Enhancement
- Exponential Moving Average Application filtering short-term noise while maintaining sensitivity to genuine performance changes
- Smoothing Period Configuration balancing signal clarity versus responsiveness through adjustable EMA length parameters
- Trend Persistence Analysis identifying sustained performance improvements or deteriorations through smoothed ratio evolution
- Signal Quality Enhancement reducing false signals while preserving important trend changes for reliable decision making
- Null Value Protection using default values when raw ratio is undefined to ensure continuous smoothed output
- Real-Time Updates providing current smoothed Omega values for immediate performance assessment and portfolio monitoring
🎨 Dynamic Performance Visualization System
- Performance-Based Color Coding using green for strong performance above upper threshold and red for weak performance below lower threshold
- Neutral Zone Display showing gray coloring for performance between thresholds indicating moderate risk-return characteristics
- Threshold Reference Lines displaying strong and weak performance boundaries through horizontal dashed lines for clear classification
- Dynamic Line Styling using prominent line width for clear trend identification and professional chart presentation
- Real-Time Color Adaptation adjusting visualization based on current performance relative to threshold configurations
- Professional Chart Integration implementing institutional-grade visual elements for serious portfolio analysis and performance tracking
⚖️ Probability-Weighted Risk Assessment
- Gain-to-Loss Ratio Focus measuring probability-weighted performance through cumulative excess returns for comprehensive evaluation
- Target Return Benchmarking comparing performance against specific return objectives rather than risk-free rates
- Asymmetric Performance Recognition acknowledging different magnitudes of gains versus losses for realistic risk assessment
- Statistical Robustness using proper mathematical formulation for reliable probability-weighted return calculation
- Performance Classification Framework providing objective strong/weak performance thresholds for systematic portfolio evaluation
- Trend Analysis Capability identifying improving or deteriorating risk-return characteristics through smoothed ratio trending
🔍 Advanced Configuration Management
- Flexible Source Selection accommodating different price sources for various analysis requirements and asset characteristics
- Adaptive Calculation Periods allowing adjustment for different market conditions, volatility regimes, and analysis timeframes
- Target Return Customization enabling comparison against specific performance objectives and investment mandates
- Smoothing Parameter Control balancing signal clarity versus responsiveness through adjustable EMA periods
- Performance Threshold Management setting custom strong and weak performance boundaries for specific strategy requirements
- Precision Control Configuration using three decimal places for accurate ratio measurement and detailed performance tracking
📊 Professional Portfolio Analysis Applications
- Strategy Performance Evaluation measuring probability-weighted returns for trading strategy assessment and optimization
- Portfolio Comparison Analysis comparing multiple strategies or assets using standardized Omega measurements
- Risk Management Integration identifying periods of poor risk-return performance for strategy adjustment and improvement
- Target Return Achievement tracking performance against specific return objectives for goal-based investment management
- Performance Monitoring Framework continuous assessment of strategy effectiveness through smoothed ratio trending and analysis
- Institutional-Grade Measurement providing professional portfolio management metrics for serious investment evaluation
🔧 Technical Implementation Excellence [/b>
- Mathematical Accuracy implementing proper Omega Ratio formula with correct statistical methodology and calculation precision
- Computational Efficiency using optimized loops and calculations for real-time performance measurement and system responsiveness
- Error Prevention Framework incorporating comprehensive validation and edge case handling for reliable operation
- Memory Management efficient variable usage and calculation methods for optimal indicator performance and resource utilization
- Real-Time Processing providing immediate updates with each new bar for current performance assessment and monitoring
- Professional Standards Compliance following institutional portfolio analysis methodology for serious risk management applications
✅ Key Takeaways
- Advanced Omega Ratio implementation providing probability-weighted risk-return measurement superior to traditional volatility-based metrics
- Target return benchmarking enabling performance comparison against specific investment objectives rather than risk-free alternatives
- EMA smoothing system reducing market noise while preserving important trend signals for clearer performance interpretation
- Dynamic threshold-based visualization providing objective performance classification through color-coded strong/weak boundaries
- Professional statistical implementation using proper mathematical methodology for institutional-grade probability-weighted analysis
- Flexible configuration options accommodating different analysis requirements, performance targets, and market conditions
- Comprehensive portfolio management integration enabling continuous strategy performance monitoring and optimization for superior investment outcomes
MoneyMakerz 💰MoneyMakerz 💰 — Simple SOP for Traders
📊 Understand Visuals
| Element Meaning
=================================================================
| 🟢 Green Trendline: EMA 5 & 8 are above the trendline → Bullish signal
| 🔴 Red Trendline: EMA 5 & 8 are below the trendline → Bearish signal
| 🔷 Blue Diamond: Bullish shift detected (trendline turns green)
| 🔶 Maroon Diamond: Bearish shift detected (trendline turns red)
| 🚀 Bull Div: RSI bullish divergence → Potential reversal up
| 💣 Bear Div: RSI bearish divergence → Potential reversal down
📐 Pivot Points (Standard Usage)
Enable ** Pivot Points Standard ** from TradingView’s built-in indicators.
| Level Meaning
====================================
| PP Central pivot — market bias
| R1–R3 Resistance zones
| S1–S3 Support zones
** Usage Tips: **
- Price above PP → bullish bias
- Price below PP → bearish bias
- Watch for potential reversals near support/resistance zones (S/R)
✅ Trading Workflow
- 🟢 Trendline turns green → Consider long
- 🔴 Trendline turns red → Consider short
- 🔷/🔶 Diamond appears → Signal confirmation
- Use RSI zones to gauge strength behind price moves and confirm trendline signals
- Confirm with Pivot Zones
- Watch for 🚀 Bull Div or 💣 Bear Div near S/R
- Exit when trendline flips or RSI exits zone
🧠 Trendline & Diamond Logic
- The ** Trendline ** is a dynamic EMA (default length: 20)
- When both EMA 5 and EMA 8 cross ** above ** the trendline → it turns 🟢 green
- When both EMA 5 and EMA 8 cross ** below ** the trendline → it turns 🔴 red
- Each time the trendline color changes, a ** diamond marker ** appears:
- 🔷 Blue Diamond = Bullish shift (green trendline starts)
- 🔶 Maroon Diamond = Bearish shift (red trendline starts)
These diamonds help you visually catch momentum shifts early — especially when paired with RSI and pivot zones.
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.
MTF Stochastic Dashboard What you see:
Top-right table: TF | %K | %D | Signal.
Signal = Bullish (green) if K > D, Bearish (red) if K < D.
Row color: red if K & D ≥ 80, green if K & D ≤ 20.
Number color: ≤30 green, ≥70 red.
Settings
Signal mode:
Always (just K>D or K
Kerzen-Zähler über/unter EMADieses Skript zeigt die Anzahl an Zeitperioden ober/unterhalb eines individuellen EMAs an.
FX Strike — RSI Momentum PanelDescription:
The FX Strike RSI Panel provides a momentum filter for the FX Strike system, using the classic RSI with enhanced visuals.
RSI (14): Standard calculation with clear signals.
50 Midline: Momentum bias filter (above = bullish, below = bearish).
30/70 Zones: Overbought and oversold regions for context.
Colored RSI Line: Teal when bullish, orange when bearish.
Alert Conditions: Triggers when RSI crosses above or below the 50 mid-line.
How to Use:
In trend trading, only take longs if RSI is above 50 and shorts if RSI is below 50.
Use divergences (price vs RSI) to spot early signs of weakening momentum.
Combine with the FX Strike Overlay for a complete 4-pillar strategy (Trend, Volatility, Momentum, Volume).
Combined Continuational Signal - RSI & KeltnerContinuational Signal Indicator
This technical indicator provides trend continuation signals through dual-methodology analysis, offering traders flexibility to choose between RSI-based or Keltner Channel-based signal generation, or utilize both simultaneously for enhanced confirmation.
Core Functionality:
Dual Signal Architecture: Toggle between RSI momentum analysis or Keltner Channel volatility breakout detection
Multi-Confirmation Framework: Incorporates moving average trend filters, slope analysis, and candle pattern validation
Cloud Interaction Filter: Signals activate only when price interacts with the moving average cloud zone
MA Closeness Filter: Uses ATR-based filtering to avoid signals during low-volatility consolidation periods
Signal Logic:
The indicator waits for overbought/oversold conditions (RSI) or band extremes (Keltner), confirms directional bias through slope analysis, validates trend alignment via moving average positioning, then triggers signals on specific candle formations with engulfing characteristics.
Customization Options:
Adjustable RSI parameters and threshold levels
Configurable Keltner Channel settings with multiple calculation methods
Multiple moving average lengths for trend and slope analysis
Various display modes (shapes, backgrounds, candle coloring, vertical lines)
Comprehensive alert system for all signal types
Risk Management Integration:
Built-in filters prevent signals during choppy market conditions and ensure alignment with higher-timeframe trend direction before activation.
Use in conjunction with other confluent variables for optimal results. The default settings are calibrated for specific market conditions, though experimentation with parameters is recommended for different trading styles and timeframes.
Liquidation Strategy💣 Liquidation Strategy (High-Level Overview + Usage)
This strategy is built to trade extreme liquidation events on crypto exchanges like Bybit or OKX, using TradingView’s Liquidations indicator as input.
🔧 Core Logic
Long entries: Triggered when long liquidation values spike above a set threshold.
Short entries: Triggered when short liquidation values drop below a negative threshold.
Optional EMA filter ensures liquidation values are significantly above/below their moving average.
RSI crossover logic is used to exit trades.
🛠️ Usage Instructions
Add the Liquidations Indicator: Go to TradingView → Indicators → Search for “Liquidations” under the Financials section.
Select the Correct Chart: Use a chart from Bybit or OKX, as these exchanges provide liquidation data.
Link the Data Sources: In the strategy settings, set: Long Liquidation Data to the long liquidation series from the indicator. Short Liquidation Data to the short liquidation series.
Overlay the Strategy: You can overlay this strategy directly on the Liquidations indicator for better visual alignment.
W Bottom Reversal Strategy W Bottom Reversal Strategy (15m-close entries; intrabar TP; daily MACD exit; JSON alerts v49.3-expire2)
Overview
A precision reversal strategy designed for 15-minute charts on liquid symbols. It detects a capitulation-and-stabilization “W” base using 1-hour (1H) context, confirms momentum improvement, then enters only on bar close to avoid early/“ghost” signals. Exits combine a fast intrabar take-profit (~2.7%) with a daily MACD risk-off exit that closes positions when higher-timeframe momentum turns against the setup.
How it works (high-level, matching code)
1H volatility + oversold gate (arming)
Compute 1H Bollinger-style bands (basis = SMA(close, bbLength=20), stdev multiplier bbMult=2.0).
Arm the setup when a 1H bar closes with price < 1H lower band and 1H RSI( rsiLength=14 ) < rsiThreshold (default 20.0).
1H momentum flip → pending entry
When a new 1H bar closes and 1H MACD line (EMA12−EMA26) crosses above 0 while armed and flat, set an entryPending flag.
This does not enter yet—it prepares a confirmed, bar-close entry on the lower timeframe.
Bar-close execution on the chart timeframe (15m)
On the next 15m bar close (or within N bars, see below) and still flat, fire the entry using a limit order at close × (1 − 0.00001) (≈ 0.001% below close) to reduce slippage and maintain chart/alert alignment.
Anti-late filter (no stale triggers)
If the pending entry doesn’t trigger within N chart bars (input: “Pending entry valid for N chart bars”, default 1, range 1–8), it expires and the arm state resets. This prevents late fills long after the 1H confirmation.
Exit logic
Primary: Standing intrabar take-profit at +2.7% from the average entry price (managed via strategy.exit limit).
Risk-off: On daily bar close, if Daily MACD line (EMA12−EMA26) crosses under 0, close the position (flat on daily momentum flip).
Default Properties (used for this publication)
Timeframe: 15m (with 1H and Daily higher-timeframe confirmations via request.security)
Initial capital: $10,000
Position sizing: Percent of equity = 10% per trade (enters only when flat; no stacking while in a position)
Commission: 0.05% per side
Slippage: Recommend 1 tick in Strategy Properties for realistic fills
Inputs exposed:
BB Length: 20 • BB Multiplier: 2.0
RSI Length: 14 • RSI Threshold: 20.0
MACD: Short 12, Long 26, Signal 9 (signal kept for compatibility; logic uses MACD line vs 0)
Pending entry valid for N chart bars: default 1 (1–8)
Execution behavior (per code):
calc_on_every_tick = false (evaluates on bar close)
process_orders_on_close = true (orders placed at bar close)
Limit entry at close −0.001%
Intrabar TP (2.7%)
Daily risk-off exit on MACD<0 at daily bar close
Alerts (exact behavior in code)
Uses alert() function calls with standardized JSON.
Set your alert to “Only alert() function calls” and “Once per bar close.”
Two events are emitted:
LONG_CONFIRMED on entry fire (15m bar close)
EXIT_CONFIRMED_DAILY_MACD on daily MACD<0 (daily bar close)
JSON fields include: event, version ("v49.3-expire2"), symbol, interval, price, and time.
How to use
Apply on liquid tickers (tight spreads, healthy volume).
Keep defaults initially; run across a broad, liquid watchlist to gather a proper sample.
For automation, route bar-close alerts to your executor; confirm broker lot/route settings and that limit orders at close −0.001% are acceptable.
Expect fewer signals in powerful trends; the daily risk-off helps cut failed bases.
Methodology & expectations (results transparency)
Evaluate on a dataset yielding 100+ trades before drawing conclusions.
Keep commission & slippage enabled (see defaults).
Risk sizing: With 10% of equity per trade and flat-to-flat entries, exposure aligns with typical 5–10% guidance.
No performance guarantees—outcomes depend on symbol selection, volatility regime, news, and execution quality.
Originality & value (vendor justification)
While it uses familiar building blocks (BB/RSI/MACD), the edge comes from the 1H volatility + oversold arming, 1H momentum flip, strict 15m bar-close limit execution, and the N-bar pending expiry that prevents stale triggers—paired with a dual-exit design (intrabar TP + daily risk-off). The focus is on reducing premature fills, keeping alerts 1:1 with chart marks, and capturing the first impulse out of a W-base.
Disclaimers
For educational purposes only; not financial advice. Paper-test first. Verify alerts, fills, and symbol liquidity with your broker before live use.
Changelog: v49.3-expire2 — Bar-close limit entries; anti-late pending window; standardized JSON alerts; intrabar 2.7% TP; daily MACD risk-off exit.
3X Sniper BotThe 3X Sniper Bot is built for traders who demand clarity, precision, and confidence in their decision-making. This tool isn’t just another crossover script—it’s a full multi-confirmation system that helps you spot momentum shifts, identify high-probability entries, and filter out the noise.
🔥 Why traders love it:
Triple confirmation engine: Only fires when multiple conditions align, reducing false signals.
Strong vs. Regular vs. Possible setups: Get nuanced alerts that distinguish between high-conviction moves and early opportunities.
Both Buy & Sell coverage: Stay prepared in any market environment.
Smart flexibility: Works across strict or sequenced signal modes, giving you control over how conservative or aggressive you want to trade.
Visual clarity: Clean chart markers and optional regime shading keep your screen easy to read at a glance.
Alert-ready: Set and forget—never miss a move with real-time TradingView alerts.
This indicator was designed to make complex multi-factor analysis simple, giving traders a clear visual edge without clutter or guesswork. Whether you scalp intraday or swing multi-day, the 3X Sniper Bot adapts to your style.
MatrixScalper Tablo + 3 Bant Osilatör
MatrixScalper “Table + 3-Band Oscillator” is a lightweight, multi-timeframe trend-momentum filter that stacks three histograms (TF1/TF2/TF3—default 5m/15m/1h) and a compact table showing EMA trend, Supertrend, RSI and MACD direction for each timeframe. Green bars/✓ mean bullish alignment, red bars/✗ bearish; mixed or gray implies neutrality. Use it to trade with the higher-timeframe bias (e.g., look for longs when 15m & 60m are bullish and the 5m band flips back to green after a pullback). It’s a filter—not a standalone signal—so combine with price action/S&R/volume; optional alerts can be added for “all-bull” or “all-bear” alignment.
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.
-----------------
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.
BUY & SELL Probability (M5..D1) - MTFMTF Probability Indicator (M5 to D1)
Indicator — Dual Histogram with Buy/Sell Labels
This indicator is designed to provide a probabilistic bias for bullish or bearish conditions by combining three different analytical components across multiple timeframes. The goal is to reduce noise from single-indicator signals and instead highlight confluence where trend, momentum, and strength agree.
Why this combination is useful
- EMA(200) Trend Filter: Identifies whether price is trading above or below a widely used long-term moving average.
- MACD Momentum: Detects short-term directional momentum through line crossovers.
- ADX Strength: Measures how strong the trend is, preventing signals in weak or flat markets.
By combining these, the indicator avoids situations where one tool signals a trade but others do not, helping to filter out low-probability setups.
How it works
- Each timeframe (M5, M15, H1, H4, D1) generates its own trend, momentum, and strength score.
- Scores are weighted according to user-defined importance and then aggregated into a single probability.
- Proximity to recent support and resistance levels can adjust the final score, accounting for nearby barriers.
- The final probability is displayed as:
- Histogram (subwindow): Green bars for bullish probability >50%, red bars for bearish <50%.
- On-chart labels: Showing exact buy/sell percentages on the last bar for quick reference.
Inputs
- EMA length (default 200), MACD settings, ADX period.
- Weights for each timeframe and component (trend, momentum, strength).
- Optional boost for the chart’s current timeframe.
- Smoothing length for probability values.
- Lookback period for support/resistance adjustment.
How to use it
- A green histogram above zero indicates bullish probability >50%.
- A red histogram below zero indicates bearish probability >50%.
- Neutral readings near 50% show low confluence and may be best avoided.
- Users can adjust weights to emphasize higher or lower timeframes, depending on their trading style.
Notes
- This script does not guarantee profitable trades.
- Best used together with price action, volume, or additional confirmation tools.
- Signals are calculated only on closed bars to avoid repainting.
- For testing and learning purposes — not financial advice.
RSI Pivots with Divergence Overlay█ OVERVIEW
The RSI Pivots with Divergence Overlay indicator is an advanced tool based on RSI, displaying dynamic bands on the price chart to simplify the identification of overbought and oversold conditions. Pivot points and divergences between them are derived from these bands, providing a comprehensive view of the market and enabling the creation of various trading strategies based on this single indicator.
█ CONCEPTS
Areas where RSI exits the bands are often reversal points in the market. The concept of this indicator is to highlight places where the probability of a trend reversal increases. Therefore, pivots and divergences have been added to better identify these key moments. Additionally, the bands allow viewing the market context in relation to the RSI indicator, facilitating analysis of momentum and volatility.
█ KEY FEATURES
Dynamic Bands and RSI Signals: The bands are calculated based on the closing price and RSI value, with dynamic scaling adjusted to market volatility. The upper band corresponds to overbought levels, the lower to oversold, and the midline is their average. The price level relative to the bands serves as a visual RSI signal, indicating potential overbought or oversold conditions.
Pivot Points: The indicator identifies local price highs and lows in relation to RSI levels. The pivot level is taken from the high/low of the candle. A high pivot is detected when the high of the candle reaches a local maximum after crossing the upper RSI level (overbought), signaling a potential reversal. A low pivot appears after a local price minimum following a drop below the lower RSI level (oversold), indicating a possible uptrend reversal. The pivot length (default 2 bars) defines the search range for these extremes, meaning that with a length of 2, a potential divergence signal will appear with a 2-candle delay, as this is the minimum time required to confirm a local pivot. Pivot lines are drawn on the chart, and labels display the RSI value (from the close of the candle) and price at the detection moment. Pivot lines disappear after the detection of the next low pivot for lower lines and high pivot for upper lines, but unbreached lines or those with high volume may still serve as support or resistance levels.
Divergence Detection: The indicator automatically detects divergences to predict trend changes. Bearish divergence occurs when the price forms a higher high pivot, but the RSI (from the close of the candle) is lower than in the previous pivot, indicating weakening upward momentum and a potential bearish reversal. Bullish divergence appears when the price forms a lower low pivot, but the RSI is higher, suggesting building momentum and a possible bullish reversal. Divergences are marked in pivot labels (e.g., "Bear Div" or "Bull Div") and supported by alerts upon detection.
Return Signals: The indicator generates buy and sell signals based on RSI (price) returning to the bands after extreme conditions, independently of pivots and divergences. A buy signal is triggered when RSI (price) crosses above the lower level (exiting oversold), suggesting a potential price rise toward the midline or upper band. A sell signal occurs when RSI (price) falls below the upper level (exiting overbought), indicating a possible price drop toward the lower band. Signals are visualized as arrows (up/down triangles) on the chart, with customizable colors.
█ CONFIGURATION
The indicator offers extensive customization options:
RSI Length (rsiLength): Sets the number of periods used to calculate RSI (default 14).
RSI Upper Level (rsiUpper): Defines the overbought threshold (default 70).
RSI Lower Level (rsiLower): Defines the oversold threshold (default 30).
Band Scaling (scale): Determines the scaling multiplier for bands based on market volatility (default 15.0).
SMA Length for Candle Midpoint (length): Number of periods for calculating the moving average of candle midpoints (default 200). This parameter is used to smooth price data, enabling more accurate volatility assessment and band width adjustment to market dynamics.
Pivot Length (pivotLength): Sets the range (in bars) for detecting local price extremes (default 2).
Pivot Label Offset (pivotLabelOffset): Multiplier for the candle range to position pivot labels (default 0.3).
Show Bands (showBands): Enables/disables the display of bands on the chart.
Show Fill (showFill): Enables/disables the fill between bands and the midline.
Show Pivot Lines (showPivotLines): Enables/disables pivot lines on the chart.
Show Pivot Labels (showPivotLabels): Enables/disables labels with RSI and price values at pivots.
Show Return Signals (showReturnSignals): Enables/disables the display of buy and sell signals.
Colors and Style: Customizable colors for bands, fills, pivot lines, labels, and line widths (default 1).
█ USAGE
The indicator performs best when combined with other technical analysis tools, such as Fibonacci levels, moving averages, or trendlines, to confirm pivot, divergence, and return signals. It enables traders to identify key reversal points, detect hidden trend weaknesses through divergences, and confirm trade entries with return signals.
Usage Examples:
Price bounces off a previous pivot with high volume – this increases the probability of a trend change or correction.
A similar situation when RSI is outside the bands strengthens the signal.
If divergence occurs in addition, we have further confirmation.
This can be combined with Fibonacci levels to check if Fibo zones overlap with pivot lines – this may increase the chance of a strong price reaction.
█ ALERTS
The indicator supports alerts for:
Buy and sell signals (RSI returning to bands).
Detection of bearish and bullish divergences.
RSI ALL INOverbought and Oversold with Candle Pattern Confluences
1. Overbought / Oversold signal only
2. RSI + Engulfing Candle
3. RSI + Hammer/Shooting Star
RSI ADX Bollinger Analysis High-level purpose and design philosophy
This indicator — RSI-ADX-Bollinger Analysis — is a compact, educational market-analysis toolkit that blends momentum (RSI), trend strength (ADX), volatility structure (Bollinger Bands) and simple volumetrics to provide traders a snapshot of market condition and trade idea quality. The design philosophy is explicit and layered: use each component to answer a different question about price action (momentum, conviction, volatility, participation), then combine answers to form a more robust, explainable signal. The mashup is intended for analysis and learning, not automatic execution: it surfaces the why behind signals so traders can test, learn and apply rules with risk management.
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What each indicator contributes (component-by-component)
RSI (Relative Strength Index) — role and behavior: RSI measures short-term momentum by comparing recent gains to recent losses. A high RSI (near or above the overbought threshold) indicates strong recent buying pressure and potential exhaustion if price is extended. A low RSI (near or below the oversold threshold) indicates strong recent selling pressure and potential exhaustion or a value area for mean-reversion. In this dashboard RSI is used as the primary momentum trigger: it helps identify whether price is locally over-extended on the buy or sell side.
ADX (Average Directional Index) — role and behavior: ADX measures trend strength independently of direction. When ADX rises above a chosen threshold (e.g., 25), it signals that the market is trending with conviction; ADX below the threshold suggests range or weak trend. Because patterns and momentum signals perform differently in trending vs. ranging markets, ADX is used here as a filter: only when ADX indicates sufficient directional strength does the system treat RSI+BB breakouts as meaningful trade candidates.
Bollinger Bands — role and behavior: Bollinger Bands (20-period basis ± N standard deviations) show volatility envelope and relative price position vs. a volatility-adjusted mean. Price outside the upper band suggests pronounced extension relative to recent volatility; price outside the lower band suggests extended weakness. A band expansion (increasing width) signals volatility breakout potential; contraction signals range-bound conditions and potential squeeze. In this dashboard, Bollinger Bands provide the volatility/structural context: RSI extremes plus price beyond the band imply a stronger, volatility-backed move.
Volume split & basic MA trend — role and behavior: Buy-like and sell-like volume (simple heuristic using close>open or closeopen) or sell-like (close1.2 for validation and compare win rate and expectancy.
4. TF alignment: Accept signals only when higher timeframe (e.g., 4h) trend agrees — compare results.
5. Parameter sensitivity: Vary RSI threshold (70/30 vs 80/20), Bollinger stddev (2 vs 2.5), and ADX threshold (25 vs 30) and measure stability of results.
These exercises teach both statistical thinking and the specific failure modes of the mashup.
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Limitations, failure modes and caveats (explicit & teachable)
• ADX and Bollinger measures lag during fast-moving news events — signals can be late or wrong during earnings, macro shocks, or illiquid sessions.
• Volume classification by open/close is a heuristic; it does not equal TAPEDATA, footprint or signed volume. Use it as supportive evidence, not definitive proof.
• RSI can remain overbought or oversold for extended stretches in persistent trends — relying solely on RSI extremes without ADX or BB context invites large drawdowns.
• Small-cap or low-liquidity instruments yield noisy band behavior and unreliable volume ratios.
Being explicit about these limitations is a strong point in a TradingView description — it demonstrates transparency and educational intent.
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Originality & mashup justification (text you can paste)
This script intentionally combines classical momentum (RSI), volatility envelope (Bollinger Bands) and trend-strength (ADX) because each indicator answers a different and complementary question: RSI answers is price locally extreme?, Bollinger answers is price outside normal volatility?, and ADX answers is the market moving with conviction?. Volume participation then acts as a practical check for real market involvement. This combination is not a simple “indicator mashup”; it is a designed ensemble where each element reduces the others’ failure modes and together produce a teachable, testable signal framework. The script’s purpose is educational and analytical — to show traders how to interpret the interplay of momentum, volatility, and trend strength.
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TradingView publication guidance & compliance checklist
To satisfy TradingView rules about mashups and descriptions, include the following items in your script description (without exposing source code):
1. Purpose statement: One or two lines describing the script’s objective (educational multi-indicator market overview and idea filter).
2. Component list: Name the major modules (RSI, Bollinger Bands, ADX, volume heuristic, SMA trend checks, signal tracking) and one-sentence reason for each.
3. How they interact: A succinct non-code explanation: “RSI finds momentum extremes; Bollinger confirms volatility expansion; ADX confirms trend strength; all three must align for a BUY/SELL.”
4. Inputs: List adjustable inputs (RSI length and thresholds, BB length & stddev, ADX threshold & smoothing, volume MA, table position/size).
5. Usage instructions: Short workflow (check TF alignment → confirm participation → define stop & R:R → backtest).
6. Limitations & assumptions: Explicitly state volume is approximated, ADX has lag, and avoid promising guaranteed profits.
7. Non-promotional language: No external contact info, ads, claims of exclusivity or guaranteed outcomes.
8. Trademark clause: If you used trademark symbols, remove or provide registration proof.
9. Risk disclaimer: Add the copy-ready disclaimer below.
This matches TradingView’s request for meaningful descriptions that explain originality and inter-component reasoning.
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Copy-ready short publication description (paste into TradingView)
Advanced RSI-ADX-Bollinger Market Overview — educational multi-indicator dashboard. This script combines RSI (momentum extremes), Bollinger Bands (volatility envelope and band expansion), ADX (trend strength), simple SMA trend bias and a basic buy/sell volume heuristic to surface high-quality idea candidates. Signals require alignment of momentum, volatility expansion and rising ADX; volume participation is displayed to support signal confidence. Inputs are configurable (RSI length/levels, BB length/stddev, ADX length/threshold, volume MA, display options). This tool is intended for analysis and learning — not for automated execution. Users should back test and apply robust risk management. Limitations: volume classification here is a heuristic (close>open), ADX and BB measures lag in fast news events, and results vary by instrument liquidity.
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Copy-ready risk & misuse disclaimer (paste into description or help file)
This script is provided for educational and analytical purposes only and does not constitute financial or investment advice. It does not guarantee profits. Indicators are heuristics and may give false or late signals; always back test and paper-trade before using real capital. The author is not responsible for trading losses resulting from the use or misuse of this indicator. Use proper position sizing and risk controls.
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Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Daily Percentiles ZoneDaily Percentiles Zone
Shows the distance of price from the 200-day EMA and classifies it into historical percentiles (P25, P50, P65, P76). Helps identify whether the asset is cheap, fair value, acceptable, risky, or very expensive compared to its long-term daily trend.
Weekly Percentiles ZoneWeekly Percentiles Zone
Shows the distance of price from the 200-week EMA and classifies it into historical percentiles (P25, P50, P65, P76). Helps identify whether the asset is cheap, fair value, acceptable, risky, or very expensive compared to its long-term trend.
Multi-RSI with Stochastic Oscillator - flack0xA sophisticated momentum analysis tool combining 4 customizable RSI oscillators with an innovative Close/Close Stochastic implementation. Designed for traders seeking comprehensive momentum insights across multiple timeframes in a single, organized indicator.
Key Features:
4 Independent RSI Oscillators with default periods: 2, 3, 9, 27
Innovative Close/Close Stochastic - Compares closing prices to closing price ranges (not high/low)
Complete Customization - Individual control over periods, colors, line widths, and visibility
Reference Levels - Customizable overbought (70), oversold (30), and midline (50) levels
Smart Alert System - Crossover notifications for key momentum shifts
Unique Close/Close Stochastic Methodology:
Unlike traditional Stochastic oscillators that use high/low ranges.
Benefits of Close/Close Approach:
Eliminates Gap Noise - Ignores overnight gaps and intraday wicks
Smoother Signals - Reduces whipsaws common in traditional Stochastic
Position-Relevant - Focuses on actual settlement prices traders care about
Cleaner Momentum Reading - Pure closing price momentum without intraday volatility
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.
