MIZAN v15.5: KEMAL (Ontological Synthesis)Title: Mizan v15.5: KEMAL (Ontological Synthesis & Psi Score)
Description:
This indicator represents the culmination of the "Mizan" philosophy, combining a custom Physics Engine (Cosmic Cloud) with an Organic Soul Engine (Psi Score).
Key Concepts developed in this script:
Psi Score (Soul): Unlike traditional RSI, the Psi Score calculates the intrinsic energy of an asset using a unique "Ontological Half-Life" of 136 bars and a "Resonance Period" of 43 bars. This filters out market noise and reveals the true intent of price action.
Cosmic Cloud (Physics): A volume-weighted gravity model. The cloud expands based on uncertainty (Psi entropy) and projects future price direction based on mass (Volume) and spacetime curvature (VWAP).
The Synthesis: The strategy only takes trades when the Physics (Cloud position) and the Soul (Psi energy) are in alignment, protected by a Trend Shield.
How to Use:
Green Cloud: Bullish Gravity.
Red Cloud: Bearish Gravity.
Dashboard: Provides real-time data on Gravity (g), Psi Energy %, and Next Price Targets.
Developed by Murat Kavak
オシレーター
Divergence Detector [KTY] Divergence Detector
Hi, I'm Kim Thank You 👋
KTY = Kim Thank You (김땡큐)
Detects divergences in real-time across 6 indicators: MACD, RSI, Stochastic, CCI, Momentum, MFI.
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📊 FEATURES
- Multi-Indicator Detection
- Scans 6 indicators simultaneously
- MACD, RSI, Stochastic, CCI, Momentum, MFI
- Divergence Types
- Bullish Divergence (Green): Price lower low, indicator higher low → ↑
- Bearish Divergence (Red): Price higher high, indicator lower high → ↓
- Visual Display
- Arrow lines connecting pivot points
- Labels showing indicator names with direction (↑/↓)
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✅ HOW TO USE
- Bullish divergence → Check for potential upward move
- Bearish divergence → Check for potential downward move
- Multiple indicators diverging → Higher reliability
- Combine with S/R levels for confirmation
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💡 TIPS
- Divergence indicates "possibility" not certainty
- Strong trends may ignore divergences
- Higher timeframe divergences are more reliable
- Use with other indicators for confirmation
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⚠️ DISCLAIMER
This indicator is for educational purposes only.
Not financial advice. Always do your own research.
ATR-Based Z-Score (with Signal Line)The ATR-Based Z-Score is an advanced, volatility-normalized oscillator designed to identify extreme price deviations more reliably than the standard Z-Score.
By replacing the traditional Standard Deviation with the Average True Range (ATR) in the denominator, this indicator eliminates the "volatility paradox" where rapid price spikes cause standard oscillators to prematurely return to zero, even as the price continues to crash.
Why this version is superior
In a classic Z-Score calculation:
Z = (Price - SMA) / (Standard Deviation)
A sudden impulsive price drop causes the Standard Deviation to explode. Because you are dividing by a rapidly increasing number, the Z-Score often "rises" while the price is still falling.
The ATR-Based Solution:
Z = (Price - SMA) / ATR
By using a long-period ATR as the denominator, the volatility measure remains stable and "clean." This ensures that the indicator’s troughs align much more accurately with actual price bottoms, staying in the oversold territory until the momentum truly shifts.
Key Features
Volatility Cleaning: The ATR-normalization prevents the indicator from "flattening out" during impulsive price movements.
Integrated Signal Line: A customizable Moving Average of the Z-Score values helps filter noise and confirms entry/exit points.
Independent Periods: You can set the Price MA (responsiveness) and the ATR (volatility baseline) separately to fine-tune the indicator to different timeframes.
How to Trade with it
1. Mean Reversion (Buy the Dip / Sell the Rip)
Long: Wait for the Z-Score to drop below a significant level (e.g., -10.0). Enter when the Z-Score crosses back above its Signal Line.
Short: Wait for the Z-Score to rise above +10.0 and enter when it crosses below the Signal Line.
2. Breakout Trading
A strong push of the Z-Score beyond the +/- 7.0 levels can indicate a powerful trend breakout.
In this case, the Signal Line crossover serves as an effective Exit Signal, telling you that the initial momentum of the breakout is fading.
Summary
✅ This indicator is designed for traders who find standard oscillators too "nervous" during volatile periods. By decoupling price deviation from immediate variance spikes, the ATR-Based Z-Score provides a rock-solid foundation for identifying true market extremes and high-probability reversal points.
Mizan v7.8-S: Pure PSI ObserverDescription:
1. General Overview The Mizan v7.8-S is a specialized high-precision market observer designed to quantify the "Ontological Stability" of financial assets. Unlike traditional indicators that rely solely on price action, this tool projects market data onto a proprietary "PSI Scale" to measure the potential energy and structural integrity of a trend. It operates on the "Pure Justice" (Mizan) theoretical framework, distinguishing between constructive stability and chaotic degradation.
2. Key Features
Proprietary PSI Scoring: A unique algorithm that converts market momentum into a standardized stability score (0 - 310,000 Scale).
Stability Protocol Visualization: Automatically colors the trend line to indicate the current state of the asset (Green for Stable/Constructive, Red for Unstable/Chaotic).
Cyclic Time Markers: Includes deterministic time-cycle markers ("Pulse" and "Reset" points) to identify theoretical inflection points in the market rhythm.
Axiom Floor & Peak: Visual references for the theoretical limits of the analyzed asset.
3. How to Use
Trend Analysis: Observe the color of the PSI line. A transition from Red to Green indicates that the asset has crossed the critical threshold and entered a stable trend structure.
Cycle Timing: Use the geometric markers (Diamonds and Circles) to anticipate potential shifts in market rhythm or exhaustion points based on the Mizan temporal constants.
Risk Assessment: The distance of the PSI score from the "Axiom Peak" or "Axiom Floor" provides a perspective on the asset's current potential relative to its theoretical limits.
4. Invite-Only Access This script is a closed-source implementation of a proprietary algorithmic kernel ("Mizan Universal Kernel"). It contains protected logic and experimental constants derived from private research.
Access: Access to this indicator is restricted. To request access or learn more about the methodology, please contact me via private message on TradingView.
Note: This tool is intended for advanced cycle analysis and experimental observation.
ElectZA MACD Range Momentum Filter**ElectZA MACD Range Momentum Filter (EZ_RangeMACD)** is a clean MACD-style momentum tool that helps you avoid choppy, low-volatility periods. It uses **ATR compression** to detect when price is likely ranging (and visually shades those zones), then **filters signals** so buy/sell triggers only appear when the market is *not* in a range. You get a color-coded histogram (gray in ranges, green/red in trends), classic MACD + signal lines, and optional crossover/crossunder markers to highlight higher-quality momentum shifts.
**Disclaimer:**
This indicator/script is provided for **educational and informational purposes only** and does **not** constitute financial, investment, or trading advice. Trading and investing involve **significant risk**, and you may lose some or all of your capital. Past performance is **not** indicative of future results. Always do your own research, test strategies on a demo account, and consider seeking advice from a qualified financial professional. By using this script, you agree that you are solely responsible for any trading decisions and outcomes.
Tanh Clamped Momentum Oscillator [Alpha Extract]A sophisticated momentum measurement system that combines dual EMA trend analysis with volatility-weighted pressure calculations, applying hyperbolic tangent normalization for bounded oscillator output with adaptive signal generation. Utilizing ATR-based volatility regime detection and candle pressure metrics, this indicator delivers institutional-grade momentum assessment with multi-tiered band structure and pulse-based envelope visualization. The system's tanh clamping methodology prevents extreme outliers while maintaining sensitivity to genuine momentum shifts, combined with histogram divergence detection and comprehensive alert framework for high-probability reversal and continuation signals.
🔶 Advanced Dual-Component Momentum Engine
Implements hybrid calculation combining EMA trend differential with candle pressure analysis, weighted by volatility regime assessment for context-aware momentum measurement. The system calculates fast and slow EMA difference normalized by ATR, measures intrabar pressure as close-open relative to range, applies volatility-based weighting between trend and pressure components, and produces composite raw momentum capturing both directional bias and internal candle dynamics.
// Core Momentum Framework
EMA_Fast = ta.ema(src, Fast_Length)
EMA_Slow = ta.ema(src, Slow_Length)
Trend = EMA_Fast - EMA_Slow
// Volatility Regime Detection
ATR_Short = ta.atr(ATR_Length)
ATR_Long = ta.atr(ATR_Length * 2)
Vol_Ratio = ATR_Short / ATR_Long
Vol_Weight = clamp((Vol_Ratio - 0.5) / 1.0, 0, 1)
// Pressure Component
Pressure = (close - open) / (high - low)
// Composite Momentum
Raw = Trend_Normalized * Vol_Weight + Pressure_Scaled * (1 - Vol_Weight)
🔶 Hyperbolic Tangent Normalization Framework
Features sophisticated tanh transformation that clamps raw momentum into bounded range while preserving proportional sensitivity across varying market conditions. The system applies safe exponential calculations with input capping to prevent overflow, computes hyperbolic tangent to compress extreme values while maintaining linearity near zero, and scales output by configurable factor creating oscillator with enhanced dynamic range and reduced outlier distortion.
// Tanh Clamping Logic
tanh(x) =>
x_clamped = clamp(x, -5.0, 5.0)
e = exp(2.0 * x_clamped)
(e - 1.0) / (e + 1.0)
Oscillator = tanh(Smoothed_Momentum / Clamp_Factor) * Scale
🔶 Volatility Regime Weighting System
Implements intelligent volatility assessment comparing short-term and long-term ATR to determine market regime, dynamically adjusting weight between trend and pressure components. The system calculates ATR ratio, normalizes to 0-1 range, and uses this weight factor to emphasize trend component during high-volatility regimes and pressure component during low-volatility consolidations, creating adaptive momentum sensitive to market microstructure.
🔶 Multi-Tiered Band Architecture
Provides comprehensive threshold structure with soft, hard, and maximum bands marking progressive momentum extremes for graduated overbought/oversold assessment. The system establishes configurable levels at soft zones (initial caution), hard zones (strong extreme), and maximum zones (critical overextension) with visual differentiation through line styles and background highlighting, enabling nuanced interpretation beyond binary extreme detection.
🔶 Pulse Envelope Visualization
Features dynamic envelope bands calculated from exponential moving average of absolute oscillator value, creating adaptive boundary that expands during momentum acceleration and contracts during deceleration. The system applies configurable length and width multiplier to pulse calculation, fills area between positive and negative pulse bounds with gradient coloring matching oscillator direction, providing visual context for momentum magnitude relative to recent activity.
🔶 Signal Line Integration Framework
Implements dual-mode signal line supporting both EMA and SMA smoothing of primary oscillator for crossover-based swing detection. The system calculates configurable-length moving average, generates histogram differential between oscillator and signal, applies additional smoothing to histogram for noise reduction, and uses crossovers/crossunders as momentum swing indicators distinguishing bullish and bearish momentum shifts.
🔶 Histogram Divergence Display
Creates column-style histogram visualization showing oscillator-signal differential with intensity-based coloring reflecting momentum acceleration or deceleration. The system plots histogram bars in bright colors when expanding (accelerating momentum) and faded colors when contracting (decelerating momentum), enabling instant visual identification of momentum divergences and convergences without numerical analysis.
🔶 Advanced Reversion Signal Logic
Generates overbought/oversold signals requiring both signal line crossover and extreme threshold breach for high-conviction reversal identification. The system triggers oversold when oscillator crosses above signal while below negative reversion level, triggers overbought when crossing below signal while above positive reversion level, and plots small circle markers at signal locations for clear visual confirmation of setup conditions.
🔶 Comprehensive Alert Framework
Provides six distinct alert conditions covering overbought/oversold reversions, midline trend changes, and oscillator-signal swings with configurable notification preferences. The system includes alerts for extreme reversions (OB/OS), zero-line crossovers (trend changes), and signal line crossovers (momentum swings), enabling traders to monitor critical oscillator events across multiple signal types without constant chart observation.
🔶 Adaptive Bar Coloring System
Implements four coloring modes including midline cross (trend direction), extremities (threshold breach), reversions (OB/OS signals), and slope (oscillator vs signal) for customizable visual integration. The system applies selected color scheme to candles providing chart-level momentum feedback, with option to disable coloring for minimal visual interference while maintaining oscillator pane analysis.
🔶 Performance Optimization Architecture
Utilizes efficient tanh calculation with safe clamping, streamlined EMA computations, and optimized ATR ratio processing for smooth real-time updates. The system includes intelligent null handling, minimal recalculation overhead through smart smoothing application, and configurable display toggles allowing users to disable unused visual elements for enhanced performance during extended historical analysis.
🔶 Why Choose Tanh-Clamped Momentum Oscillator ?
This indicator delivers sophisticated momentum analysis through hybrid trend-pressure calculation with volatility-adaptive weighting and hyperbolic tangent normalization. Unlike traditional momentum oscillators susceptible to extreme outlier distortion, the tanh clamping ensures bounded output while preserving sensitivity to genuine momentum shifts. The system's dual-component architecture combining directional trend with intrabar pressure, weighted by volatility regime assessment, creates context-aware momentum measurement that adapts to market microstructure. The multi-tiered band structure, pulse envelope visualization, and comprehensive signal framework make it essential for traders seeking nuanced momentum analysis with graduated extreme detection and high-probability reversal signals across cryptocurrency, forex, and equity markets.
Moon Phases Final Moon Phases Visualizer DescriptionThis script is a comprehensive tool for traders who incorporate lunar cycles into their analysis. Unlike many basic indicators, this one is optimized for Pine Script v6 and utilizes a precise astronomical calculation based on the synodic month cycle ($29.53059$ days).The indicator helps identify potential "turn window" periods often associated with New Moons and Full Moons in financial astrology and cyclical analysis.Key FeaturesDual Visualization: Displays a smooth lunar cycle oscillator ($0-100\%$) in a separate pane while simultaneously plotting phase labels directly on the price chart.Smart Overlays: Using the latest force_overlay technology, the script keeps your price scale clean while showing Moon emojis (🌕/🌑) and an info table in the main area.Real-time Tracking: An elegant dashboard in the top-right corner shows the current phase percentage and status at a glance.Full Moon & New Moon Alerts: Visual signals are generated at the exact peak of the cycle, making it easy to spot historical correlations with price reversals or volatility spikes.How to read it:🌕 Full Moon (50%): Often associated with high volatility or local price extremes.🌑 New Moon (0%/100%): Often marks the beginning of a new cycle or a potential trend exhaustion.The Curve: Watch the oscillator to anticipate approaching lunar events before they happen.Technical DetailsThe calculation is anchored to a high-precision historical New Moon timestamp (January 6, 2000), ensuring the phase accuracy remains consistent even when scrolling back through years of historical data.
Disclaimer: This indicator is for educational and entertainment purposes only. Lunar cycles are a part of financial astrology and cyclical analysis, but they should not be used as a standalone signal for trading. Past performance does not guarantee future results. Always use proper risk management and combine this tool with other technical or fundamental analysis methods. Not financial advice.
Holy Grail MASTER Screener V15.1That is a crucial detail for any professional trader using a dashboard. I have updated the "Instructions for Use" and the "Key Features" to emphasize that the Scanner Timeframe is independent of the chart.
Here is the finalized documentation for your TradingView publication:
---
## Holy Grail MASTER Screener V15.1
### Description
This indicator is a comprehensive **"Command Center"** designed for traders following the **Holy Grail** strategy popularized by Linda Raschke and Larry Connors in their classic book *Street Smarts*.
The script monitors **18 customizable assets** simultaneously, scanning for high-momentum retracements where the price pulls back to the **20-period Exponential Moving Average (EMA)** during a strong trend.
### 🚀 Key Features
* **Independent Multi-Timeframe Scanner:** A unique dropdown menu allows you to set the Scanner to a specific timeframe (e.g., 5m, 15m, 1h). You can monitor 15-minute setups while your main chart remains on the 1-minute timeframe for precision entries.
* **Multi-Asset Dashboard:** Real-time tracking of 18 symbols. Fully customizable to Stocks, Crypto, or Forex.
* **Persistence Logic:** Signals stay active on the dashboard for the **entire trading day**. This ensures you never miss a setup that occurred earlier in the session.
* **Trend Filter Toggle:** Includes a built-in macro Trend Filter (EMA/SMA 50, 100, or 200). Longs are only validated above the trend line; Shorts only below.
* **Visual Signal Tags:** High-fidelity tags on the chart that sync perfectly with your chosen scanner timeframe, featuring adjustable size and transparency.
* **Master Alerts:** Two powerful alert conditions (`MASTER BUY` / `MASTER SELL`) that monitor all 18 assets at once.
### 📈 Strategy Logic (Street Smarts Rules)
A valid signal is triggered when:
1. **ADX (14)** is above 30 and rising (Trend Strength).
2. **Price Retracement:** The low (for buys) or high (for sells) touches the **20 EMA**.
3. **Macro Filter:** The trade direction aligns with the user-defined Trend MA (e.g., EMA 50).
### 🛠️ How to Use
1. **Scanner Timeframe:** Go to Settings -> LÓGICA HOLY GRAIL. Change "Temporalidad Escáner" from `Chart` to a fixed timeframe like `15` to keep the scanner focused on higher-timeframe trends regardless of your chart view.
2. **Asset Customization:** Update the 18 ticker symbols to match your watchlist.
3. **Visual Cleanup:** Use the "Estética de Señales" group to adjust tag transparency and size to keep your chart clean.
4. **Setting Alerts:** * Open the "Create Alert" dialog.
* Condition: `Holy Grail MASTER Screener V15.1`.
* Select `Grail BUY MASTER` or `Grail SELL MASTER`.
* Message: Use `{{strategy.order.comment}}` or a custom message to be notified of which specific asset triggered the setup.
HMA Trend Tracker with Multi-Timeframe Dashboard█ OVERVIEW
This indicator is designed for trend following, using the Hull Moving Average (HMA) as the core decision-making tool. This script integrates multi-dimensional analysis, including Directional Momentum, Volume Pressure, and Multi-Timeframe Analysis, onto a single screen to simplify market analysis.
█ CONCEPTS
Hull Moving Average (HMA) Logic: HMA is used to address the lag issues of typical moving averages while maintaining line smoothness. The script detects HMA slope changes to identify the beginning of bullish or bearish cycles.
Visual Ensemble Analysis: The script uses confluence techniques to combine signals from multiple data sources:
Trend Signal: Price direction from HMA
Volume Analysis: Candlestick strength compared to the moving average
MTF Matrix: Trend analysis from Stochastic oscillator across different timeframes to confirm the overall picture
█ FEATURES
1. Smart Repaint Protection
Features a Disable Repaint option that users can choose. 1. Signal Generation: Signals are generated only when the candlestick has closed (barstate.isconfirmed), increasing the accuracy of actual trades.
2. Dynamic Risk Management (TP/SL):
When a BUY or SELL signal occurs, the system automatically calculates the target price (TP) and stop-loss (SL) based on the set percentage, and draws price lines on the graph for clear visualization.
3. Multi-Timeframe (MTF) Dashboard:
The table in the upper right corner displays the trend status from 15 timeframes (from 1m to 1w) using the Stochastic Oscillator logic to indicate whether the overall market is in an upward or downward momentum.
4. Volume Monitor:
The system analyzes buying and selling pressure within the candlestick (Volume Pressure) and compares it to the average of 20 bars to identify statuses such as STRONG BUY or STRONG SELL, helping to filter signals during periods of low market volume.
█ VISUALIZATION
Bar Coloring: Candlesticks will change to solid green or solid red according to the latest signal. To make it easier for traders to follow trends without being distracted by the regular candlestick colors:
Labels: BUY/SELL signals will be displayed below and above the candlestick immediately when the conditions are met.
Target Lines: Green and red dashed lines show the profit or loss levels for the most recent trade.
Ultimate CVD Suite Pro [DAFE]Ultimate CVD Suite Pro : The Institutional Flow Engine
High-Fidelity Microstructure Delta. The Revolutionary MTF Horizon Display. This is not just CVD. This is an X-Ray into the Market's Auction.
█ PHILOSOPHY: PRICE IS THE ADVERTISEMENT. ORDER FLOW IS THE TRUTH.
Standard technical analysis is a conversation with a shadow. It looks at price—the final, often deceptive, result of a hidden battle. But the professionals, the institutions, the "smart money"—they don't trade the shadow. They operate in the real world of the auction, a world of aggressive market orders and passive limit orders, a world of absorption, exhaustion, and imbalance.
The Ultimate CVD Suite Pro was engineered to give you a direct, unfiltered view into this hidden world. This is not another lagging indicator that repaints the past. It is a real-time intelligence engine. By reconstructing a high-fidelity view of the market's microstructure, it allows you to track the institutional footprint, anticipate reversals before they appear in price, and identify high-probability "kill zones" where major market players are defending their positions.
We do not chase price. We anticipate its next move by understanding the forces that create it.
█ WHAT MAKES THIS THE "ULTIMATE" SUITE? THE CORE INNOVATIONS
This is not a simple CVD indicator. It is a multi-layered, professional-grade analytics engine that stands in a class of its own.
High-Fidelity Microstructure Delta Engine: This is the heart of the suite and its greatest innovation. Standard CVD indicators are flawed because they use data from the current chart's timeframe. This engine is different. It requests data from a Lower Timeframe (LTF) and reconstructs the order flow with near tick-level precision. This provides a vastly superior, more accurate, and more responsive picture of the real buying and selling aggression.
The MTF Horizon Display: A revolutionary leap in data visualization. The Horizon projects up to three "holographic" displays of higher-timeframe metrics (CVD, Volume, RSI, etc.) directly onto your main price chart. You can now see the "Macro Flow" of the 1-Hour, 4-Hour, and Daily charts without ever leaving your 5-minute screen, allowing for instant, intuitive multi-timeframe analysis.
The Sequence Analysis Engine (E/M/L): This proprietary algorithm analyzes the DNA of order flow within each price bar. It identifies and marks the three critical phases of participation: Early (Smart Money), Mid (Trend Followers), and Late (Exhaustion/Bag Holders) with glowing "sparkles," giving you a narrative of who is in control.
Smart Kill Zone Detection: The indicator automatically identifies, plots, and tracks high-probability Supply and Demand zones. These are not based on simple price pivots. They are generated by identifying price levels where an overwhelming amount of aggressive order flow was forcefully absorbed, marking a true, institutionally defended level.
Advanced Signal Processing: It goes beyond simple CVD to detect statistically significant Imbalances (Delta spikes >3 Sigma from the mean) and Absorption (high-volume, high-delta moves that fail to move price), providing you with a complete toolkit of professional order flow concepts.
The Visualization Core: Data should be intuitive and beautiful. Choose from six distinct, animated, and theme-aware rendering modes. From the glowing "Nebula Pulse" and flowing "Aurora Borealis" to the abstract "DNA Helix," you can transform raw data into interactive data art.
█ DEEP DIVE: INTERPRETING THE FLOW
The Lower Indicator Pane: Your Engine Roo
The Delta Histogram: This is your primary readout of aggression. Tall Green bars signify aggressive buying. Tall Red bars signify aggressive selling. Look for shifts and divergences.
The Sequence Sparkles (✦ E/M/L): These glowing orbs appear within the histogram, telling you the story of the auction.
E (Early): Low volume, but directional delta. Smart money is likely initiating a position.
M (Mid): Expanding volume and strong delta. The trend is healthy and has public participation.
L (Late): Highest volume, but delta may start to weaken or reverse. This often marks the exhaustion point of a move.
The Delta Acceleration Area: A subtle background fill that shows the rate of change of the delta. A rising green fill shows that buying pressure is not just present, but increasing.
Peak/Trough Markers (✚): Automatically marks significant peaks and troughs in the cumulative delta flow, making it easy to spot divergences.
The Main Chart Overlays: Actionable Intelligence
The CVD Wave: This is the Cumulative Volume Delta, plotted and scaled directly onto your price chart. It visualizes the running total of buying vs. selling pressure. Its slope is your primary trend confirmation.
Smart Kill Zones:
Demand Zones (Green Boxes): These are areas where aggressive selling was forcefully absorbed by passive buyers. When price revisits these zones, they are high-probability areas for a bounce.
Supply Zones (Red Boxes): Areas where aggressive buying was absorbed by passive sellers. These are high-probability rejection zones.
Imbalance & Absorption Lines: These lines are projected forward from bars that showed statistically significant events. They mark precise price levels of extreme order flow that are likely to act as future support or resistance.
█ THE MTF HORIZON DISPLAY: A COMMAND CENTER FOR TIME
This is a game-changer. The MTF Horizon projects up to three fully functional, real-time indicator displays from higher timeframes directly onto your chart. You can customize each of the three "Horizons" to display any of 10 different metrics (CVD, Volume, RSI, MACD, etc.) from any timeframe you choose.
How It Works: Each Horizon is a self-contained box with a header showing the timeframe and metric. Inside, a visual representation (e.g., a "Flowing Wave" or "Gradient Bars") shows the historical and current value of that metric.
The Strategy: This allows for instant, effortless multi-timeframe analysis. Are you seeing a buy signal on your 5-minute chart? A quick glance at the Horizon tells you if the 1-Hour CVD is rising, if the 4-Hour Volume is expanding, and if the Daily RSI is in a bullish regime—all without ever leaving your chart. Confluence across all Horizons is the signature of an A++ trade setup.
█ HIGH-PROBABILITY SIGNALS: TRADING THE FLOW
🔄 Divergence (The "Trap"): The highest conviction signal. When price makes a Lower Low, but the CVD Wave on your chart makes a Higher Low, it means sellers are aggressive but failing. A short squeeze is imminent. This is a powerful long entry signal.
🧲 Absorption (The "Wall"): Detected when volume is massive, delta is high, but the price candle is small. This indicates a huge wall of passive limit orders absorbing all the aggression. Fade the aggression; trade with the wall.
⚖️ Imbalance (The "Surge"): A delta bar that is statistically extreme (e.g., >3 Sigma from the mean). This signals that one side of the market has completely overwhelmed the other. This is often a powerful trend continuation signal.
Zone Retests: When price pulls back to test a previously formed Demand or Supply Zone, it provides a low-risk, high-probability entry in the direction of the original defense.
█ DEVELOPMENT PHILOSOPHY
The Ultimate CVD Suite Pro was born from a single, guiding principle: to win in modern markets, you must stop listening to the noise of price and start analyzing the signal of flow. Price is where amateurs look; flow is where professionals find their edge. By reconstructing order flow with a precision previously unavailable on this platform and fusing it with a revolutionary multi-timeframe visualization system, this tool aims to level the playing field. It translates the opaque, complex world of the institutional auction into a clear, intuitive, and actionable intelligence system.
This tool is designed to identify the moments when the market is becoming rational again—when the underlying flow of money is so strong that it forces irrational price action to bend to its will.
█ DISCLAIMER AND BEST PRACTICES
THIS IS AN ADVANCED ANALYTICAL TOOL: This indicator provides intelligence on order flow, not financial advice. It is designed to be a core component of a comprehensive trading strategy.
RISK MANAGEMENT IS PARAMOUNT: All trading involves substantial risk. Never risk more capital than you are prepared to lose.
LTF IS KEY: For the best results, set your Lower Timeframe (LTF) appropriately. For a 15-minute chart, use 1m or 3m. For a 1-Hour chart, use 5m.
USE CONFLUENCE: The highest probability signals come from confluence. A Bullish Divergence that forms inside a Smart Demand Zone while the MTF Horizon shows bullish alignment is an A++ setup.
"The market can remain irrational longer than you can remain solvent."
— John Maynard Keynes
Taking you to school. - Dskyz, Trade with Anticipation. Trade with Volume. Trade with CVD: Suite Pro
Bit Secure - RSI Hybrid EngineBit Secure – RSI Hybrid Engine
Reversal • Trend • Divergence | Smart RSI System
Bit Secure – RSI Hybrid Engine ek advanced, multi-phase RSI-based trading indicator hai jo Reversal, Trend, aur Auto-Hybrid market conditions ko intelligently handle karta hai.
Ye indicator RSI + Signal Line + Divergence + Zone Logic ko combine karke high-quality, low-noise trade signals generate karta hai.
🔹 Core Features
✅ Hybrid RSI Engine
Reversal Mode – Market extremes se safe reversal entries
Trend Mode – Strong trend continuation signals
Hybrid (Auto) – Market condition ke hisaab se auto-switch
✅ Smart Divergence Detection
Bullish & Bearish RSI divergence
Pivot-based logic for accurate swing detection
Optional OB/OS-only divergence filter
Divergence signals plotted exact pivot location (no repaint illusion)
✅ Zone-Based Signal Filtering
Overbought / Oversold zones
Dead-zone (40–60 RSI) noise suppression
Prevents false signals in sideways markets
✅ Signal Categories (Clearly Labeled)
DIV – Divergence signals
REV – Reversal entries
TREND – Trend continuation entries
EXIT – Logical exit alerts
✅ Clean & Professional Visuals
RSI + Smooth Signal Line
Curved OB/OS shading
Editable labels from Style panel
Non-repainting structure (pivot-confirmed)
🔹 Best Use Cases
✔ Intraday trading
✔ Index options (NIFTY / BANKNIFTY)
✔ Futures & Equity charts
✔ Works on 5m / 15m / 1H timeframes
✔ Combine with VWAP / EMA / Price Action for best results
🔹 Recommended Settings
RSI Length: 14
Smoothing: EMA / 14
RSI Mode: Hybrid (Auto)
Divergence Mode:
Normal → regular markets
OB/OS Only → strong trending days
⚠️ Disclaimer
This indicator is a decision-support tool, not a trading guarantee.
Always use proper risk management and confirmation from price action / higher timeframe before entering trades.
🔐 Built by: Bit Secure Trading Hub
📊 Trade smart. Trade structured. Trade secure.
Triple RCZR 1.3Triple RCZR — Regime Compression & Release (v1.3)
Triple RCZR is a regime-reading oscillator built to identify compression, alignment, and release across time horizons using a structured triple-RSI framework.
This script is not designed to predict direction.
It is designed to reveal when the market is storing energy and when that storage resolves.
Core Idea
Markets rarely move cleanly.
Before expansion, price usually compresses across multiple sensitivities.
Triple RCZR tracks this process by observing three RSI speeds simultaneously:
Fast RSI → short-term reaction
Medium RSI → execution / decision layer
Slow RSI → higher-timeframe memory
When these layers compress into a shared zone — and especially when they align tightly — the market enters a coil state.
When alignment breaks, expansion becomes more likely.
Key Features
🔹 Triple RSI Framework
Three RSI curves run in parallel, each representing a different response speed.
Preset configurations included:
6 / 12 / 18
7 / 14 / 21
8 / 16 / 24
9 / 18 / 27
Optional custom lengths for advanced tuning.
🔹 Coil Zone Detection
A configurable RSI band defines the compression zone.
The script continuously evaluates how many RSIs are inside the zone:
1 RSI → early compression
2 RSIs → building agreement
3 RSIs → full compression
🔹 Anchored Coil (Higher-TF Compression)
An anchored coil occurs when:
All three RSIs are inside the coil zone, and
Fast and Medium RSIs remain tightly aligned to the Slow RSI.
This state represents multi-timeframe agreement and stored momentum.
Anchored duration is tracked in bars to distinguish fleeting pauses from meaningful compression.
🔹 Breakout & Release Awareness
Breakouts are detected only when RSI exits the coil after compression.
Anchored coil start, confirmation, and release events can trigger alerts.
Emphasis is placed on context, not raw signals.
Visual Design Philosophy
Colors are intentionally restrained and functional.
Importance is communicated through density and structure, not brightness.
Anchored coils are visually distinct from ordinary coils without overwhelming the chart.
Designed for long sessions and multi-symbol scanning.
How to Use
Triple RCZR works best when used to:
Identify regime transitions
Compare behavior across markets, indices, or timeframes
Filter trades based on compression quality, not impulse
It is especially effective in:
Sideways or corrective environments
Macro and index analysis
Situations where time matters more than price
This is not a standalone trading system.
It is a context engine.
Version Notes (v1.3)
Added RSI preset selector for fast regime tuning
Improved anchored coil visibility
Refined color system for clarity and reduced fatigue
Core logic intentionally unchanged
Final Note
Triple RCZR is built on the idea that
markets reveal intent before they reveal direction.
If you trade execution, this shows you when to care.
If you study markets, this shows you when structure is changing.
Root Deviation Loop | Lyro RSThe Root Deviation Loop indicator is a multi-mode trend signal tool that detects price momentum and breakout conditions using Root Mean Square Deviation (RMSD) instead of standard deviation. It provides a flexible framework for analyzing market conditions through three distinct signal generation methods: Bollinger Band-style deviation, a loop-based scoring system, and a hybrid combined signal. These modes help highlight trend continuation or reversal zones with a focus on smoothing out noise and avoiding extreme outlier effects.
Indicator Modes
Bollinger-Style RMSD Bands
This mode plots upper and lower volatility bands using RMSD around a selected moving average. RMSD is used instead of standard deviation for a more stable measurement of price dispersion. The formula for the bands is:
Upper Band = Moving Average + (RMSD × Multiplier)
Lower Band = Moving Average − (RMSD × Multiplier)
The bands dynamically expand and contract based on market volatility. Crossovers above or below these bands are used to signal trend shifts or breakouts.
For-Loop Momentum Scoring
This mode calculates a loop-based trend score by comparing the RMSD-weighted source to its historical values within a defined range. The loop evaluates the directional bias of price changes:
If the current value is greater than past values, it adds to the score.
If it is lower, it subtracts from the score.
This produces a net momentum score used to determine bullish or bearish dominance.
RMSD Weighted Source = (Price × RMSD) / RMSD
Score = Sum over loop: (src > src ) ? +1 : -1
Combined Signal
This mode merges the outputs of the Bollinger RMSD and For-Loop modes. It averages both signals into a single composite score. A long or short signal is generated based on whether the combined score crosses above or below user-defined thresholds.
Signal Interpretation
In the Bollinger Bands mode, signals are generated based on price interaction with the RMSD bands:
A long signal occurs when price crosses above the upper RMSD band
A short signal occurs when price crosses below the lower RMSD band
No signal is produced when price remains between bands
These signals suggest potential breakout points when price momentum exceeds recent volatility-defined boundaries.
⚠️Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
RSI Momentum & Trend Suite - O59 Elite QuantRSI Momentum & Trend Suite – O59 Elite Quant
Professional Market Structure & Momentum Analysis Tool
RSI Momentum & Trend Suite – O59 Elite Quant is a comprehensive technical analysis indicator designed to help traders better understand market momentum, trend structure, price reactions, and key support & resistance zones directly on the chart.
This indicator combines RSI-based momentum analysis, dynamic bar coloring, price action signals, and automatic trend & support/resistance detection into a single, clean visual framework.
🔹 Momentum & Bar Coloring Logic
The indicator includes a custom RSI momentum engine that evaluates short-term price changes and momentum strength.
Candles are automatically colored when momentum reaches critical zones:
Above 70 → Strong bullish momentum
Below 30 → Strong bearish momentum
This candle coloring helps traders instantly recognize momentum extremes without switching to a separate RSI pane.
🔺 Buy & Sell Triangle Signals
The script generates triangle-based buy and sell signals based on a combination of:
RSI oversold / overbought conditions
Short-term price action behavior
Candle structure and confirmation logic
These signals are intended to highlight potential reaction zones, not to predict the market.
They work best when used together with trend direction and support/resistance levels.
📈 Automatic Trend Detection
The indicator automatically identifies ascending and descending trend structures using pivot-based swing analysis.
Trendlines are drawn dynamically based on higher lows and lower highs
Broken trendlines are automatically removed to keep the chart clean
Both bullish and bearish trends are visually distinguished
This allows traders to quickly assess whether the market is trending or losing structure.
🟦 Dynamic Support & Resistance Levels
Key support and resistance levels are detected using recent pivot points:
Levels extend forward in real time
Broken levels are removed automatically
Helps identify potential reaction, rejection, and liquidity zones
These levels are designed to adapt continuously as market structure evolves.
🧾 Information Table & Visual Themes
A customizable information table is displayed on the chart, showing:
Indicator name
Current symbol
Active timeframe
Author branding
Users can choose between multiple visual themes, allowing better readability and personal preference while maintaining a professional appearance.
⚠️ Important Notes & Risk Disclaimer
This indicator is designed as a technical analysis support tool only.
It does not provide financial advice
Signals and visual elements should not be used alone
Always confirm signals with your own strategy, risk management, and market context
⚠️ Special caution is advised during:
Low-volume sessions
Weekend price action
High-impact news events
Thin liquidity hours
Market conditions during these periods may produce false signals or reduced reliability.
📌 Final Disclaimer
This indicator is for educational and analytical purposes only.
It is not investment advice.
All trading decisions remain the sole responsibility of the use
M5_Bull/Bear BBOM5_ Bull/Bear BBO is a derivative oscillator built from LuxAlgo’s original Bollinger Bands Breakout Oscillator (BBO).
This version restructures the original breakout logic into a bull / bear adaptive oscillator, introduces inverted symmetry, and expands the visual system with dynamic level states and conditional color logic. The goal is to provide contextual momentum awareness rather than discrete trade signals.
A key design focus is the interaction between dominant pressure and the absence of opposing pressure. Buying and selling pressure may coexist, but moments where opposing pressure fully dissipates are treated as structurally significant — a “door opening” condition where price is no longer constrained by counter-pressure and is free to expand.
Pressure is explicitly mirrored from the opposite side, creating a symmetrical framework where each side’s expansion is reflected against the other. These mirrored structures are allowed to cross, not as directional signals, but as markers of peak intensity or exhaustion within an expanding pressure phase.
Transitional regimes — where one pressure fades before the other fully emerges — are intentionally left visible rather than smoothed away. These areas often produce late confirmation or no follow-through at all, and are presented as a challenging but informative market state rather than a condition to be optimized away.
The script is intended for visual analysis and context alignment, not as a standalone entry/exit system.
Credits & Licensing
Original concept and base implementation: LuxAlgo
Modifications, restructuring, and visual system: Metaltek5
License: Creative Commons Attribution–NonCommercial–ShareAlike 4.0 (CC BY-NC-SA 4.0)
This script is published as open source under the same license as the original work.
Non-commercial use only. Attribution and share-alike required.
Annotated example illustrating dominant pressure, mirrored behavior, and door opening conditions
Relative Strength Leadership Engine v2.0Relative Strength Leadership Engine v2.0OverviewThe Relative Strength Leadership Engine v2.0 is a context-first diagnostic tool designed to identify true market leadership. Instead of simple ratio lines, this script employs a multi-layered scoring model to determine if a symbol is truly outperforming its benchmark (e.g., SPY) or simply riding market beta.The Problem It SolvesMany relative strength indicators fail to distinguish between idiosyncratic leadership and market correlation. A stock might look strong simply because it is a high-beta names moving in lockstep with a rising index. This engine uses Pearson Correlation Filtering and Volatility Normalization to decouple these factors.How It Works (The Math)To ensure full transparency for the TradingView community, the "Leadership Score" (0–100) is calculated based on four proprietary technical pillars:Baseline Alignment (30 pts): Measures if the $Price / Benchmark$ ratio is above its 21-period EMA.Volatility-Normalized Momentum (25 pts): We calculate a Z-score of the RS slope and divide it by the asset's ATR % of price. This ensures momentum is measured by "clean" price action rather than high-beta volatility spikes.Beta-Decoupling (20 pts): Using ta.correlation, the script penalizes "Market Huggers." Points are awarded when a stock shows strength independent of the benchmark's immediate fluctuations.Freshness & Highs (25 pts): Points are awarded for proximity to 252-day relative strength highs, identifying stocks entering a "Power Zone" of leadership.Interpreting the StatesThe dashboard in the bottom-right identifies three distinct permission states:ENGAGE (Score 80+): Full leadership permission. The asset is outperforming with idiosyncratic strength and clean momentum (See FDX example in the gallery).OBSERVE (Score 50–79): Leadership is present but aging or overly correlated to the market (See MU example in the gallery).STAND DOWN (Score <50): Leadership is broken; the asset is a relative laggard (See CBLL example in the gallery).Technical FeaturesMulti-Timeframe Validation: Optional Weekly/Monthly RS confirmation to filter out "noise."Benchmark Timing Filter: A built-in gate that checks if the broader market (Benchmark) is in a "Risk-Off" regime.Non-Repainting: All security calls use lookahead=barmerge.lookahead_off to ensure historical accuracy.Customizable UI: Toggle the dashboard on/off via the "Style" menu for a cleaner workspace.DisclaimerThis script is an informational diagnostic tool and does not generate trade signals, entries, or exits. Educational use only.
UCTB BTC[CoinTadpole]UCTB BTC
UCTB is a specialized RSI-based momentum indicator engineered for Bitcoin trading. It introduces a Sustainment Verification Architecture — a structured approach that filters premature signals by requiring RSI conditions to persist across multiple consecutive bars before generating alerts.
Unlike standard RSI threshold alerts that trigger immediately upon crossing, UCTB implements a principle-based filtering system with dual operational modes and configurable signal confidence levels. This architecture addresses the core challenge of volatile cryptocurrency markets: distinguishing between momentary noise and genuine momentum shifts.
🔶 WHAT MAKES THIS INDICATOR ORIGINAL
This is NOT another RSI threshold alert or delayed entry script.
While several RSI-based scripts exist that incorporate bar counting or delay mechanisms, UCTB introduces a fundamentally different approach through its Sustainment Verification Architecture.
The Key Differentiator — Sustainment vs. Delay:
Existing scripts like delayed RSI strategies simply wait N bars after a threshold cross before signaling. UCTB takes a different approach: it requires the RSI condition to be actively maintained throughout the verification period, not merely elapsed time since the initial cross.
How Different Approaches Compare:
Standard RSI signals on threshold cross, which produces many false signals from wicks. Delayed RSI signals N bars after cross, but still triggers on brief touches that bounce back. UCTB Sustainment signals only if the condition persists continuously for N bars, filtering brief touches entirely.
Example Scenario — RSI drops to 29, bounces to 35, then drops to 28 over 3 bars:
Standard RSI would generate 2 signals (Bar 1 and Bar 3). Delayed RSI with 3-bar delay would generate 1 signal after the initial cross plus delay. UCTB Conservative Mode would generate 0 signals because the condition was not sustained continuously — RSI exited the zone on Bar 2 when it bounced to 35.
This sustainment-based filtering represents a structural difference, not merely a parameter adjustment.
🔶 FOUR INTEGRATED COMPONENTS
1. Sustainment Verification Engine
The core innovation. Rather than counting bars since a threshold cross, the algorithm verifies that RSI , RSI , and RSI all remain within the threshold zone. This continuous zone maintenance requirement is what distinguishes sustainment from simple delay.
2. Adaptive Dual-Period System
Automatically selects RSI calculation period based on trading style. Scalping Mode uses RSI(14) for faster response to intraday movements. Swing Mode uses RSI(21) for smoother readings suitable for position trading. This is not simply a toggle between two presets — the entire signal generation logic adapts to the selected period's characteristics.
3. Signal Confidence Filtering
Two distinct verification requirements, not just sensitivity adjustment. Conservative Mode requires continuous zone maintenance where RSI must stay in zone for all 3 bars. Aggressive Mode requires only elapsed time since breach — 3 bars passed, regardless of intermediate exits. These modes apply fundamentally different verification logic, not just different threshold values.
4. Bar-Close Confirmation Protocol
All signals validate against barstate.isconfirmed before dispatch, ensuring that only finalized bar data triggers alerts.
🔶 THE SUSTAINMENT PRINCIPLE
Understanding the value of sustainment verification requires examining how RSI behaves in volatile markets.
The Problem with Threshold-Only Detection:
When RSI briefly touches 30 on a single bar, it often represents a momentary price wick extending beyond the candle body, temporary liquidity gaps that reverse within the same bar, or news-driven spikes that do not reflect underlying momentum. These brief threshold touches generate signals that lack follow-through. Price frequently reverses direction immediately after the touch, creating poorly-timed entries.
The Sustainment Solution:
Requiring RSI to remain below 30 (or above 70) for multiple consecutive bars applies three filtering principles.
Noise Filtering Principle — Random price fluctuations rarely maintain extreme RSI readings for 3+ consecutive bars. The probability of random noise sustaining an extreme condition decreases with each additional bar requirement.
Momentum Confirmation Principle — Sustained extreme RSI readings indicate that buying or selling pressure has persisted over multiple price intervals. A single-bar extreme may be noise; a multi-bar extreme suggests genuine momentum shift.
Signal Processing Foundation — Each additional bar of confirmation serves as an independent verification. This is analogous to requiring multiple sensor readings before triggering an alarm — it reduces false positives from transient spikes.
Practical Demonstration:
Consider this sequence: RSI = 29 → 35 → 28 over three bars. A delayed RSI script (3-bar delay after first crossing below 30) would still generate a signal, because it only checks if 3 bars have elapsed since the threshold was first crossed. UCTB Conservative mode generates no signal, because the RSI exited the zone on Bar 2 (RSI = 35 > 30), breaking the sustainment requirement. This distinction matters in choppy, ranging markets where RSI frequently oscillates around threshold boundaries.
🔶 WHY BITCOIN MARKETS REQUIRE THIS APPROACH
Bitcoin's market microstructure creates specific challenges that make sustainment verification particularly valuable.
High Wick-to-Body Ratio Characteristic:
Bitcoin candles frequently exhibit large wicks relative to their bodies, especially during high-volume periods and around key price levels. These wicks can briefly push RSI into extreme territory without representing genuine trend exhaustion. Sustainment verification filters these wick-driven signals by requiring the condition to persist beyond the initial spike.
Continuous Market Structure:
Unlike traditional markets with defined session breaks, Bitcoin trades 24/7/365. This continuous structure creates more low-liquidity periods (weekends, holidays) where brief RSI extremes occur without follow-through, and more opportunities for unsustained threshold touches during off-peak hours. The sustainment requirement helps filter signals that occur during these transient conditions.
Adaptive Period Rationale:
The dual-period system addresses different Bitcoin trading approaches. RSI(14) is more responsive, suitable for capturing Bitcoin's rapid intraday movements. RSI(21) is smoother, filtering out more short-term fluctuations for swing trading. Manual switching between periods is operationally inconvenient. The mode selector automates this based on declared trading style.
🔶 PRACTICAL VALUE PROPOSITION
What This Indicator Automates:
Manually implementing sustainment verification requires tracking when RSI first entered the threshold zone, whether RSI has remained in the zone for each subsequent bar, and applying different verification rules based on trading mode. Doing this across multiple timeframes while managing active positions is error-prone. UCTB automates this entire verification process.
Operational Benefits:
Reduced Alert Noise — Instead of receiving alerts on every RSI threshold cross (many of which reverse immediately), traders receive alerts only when the sustainment criteria are met.
Consistent Methodology — Human traders often apply confirmation checks inconsistently, sometimes waiting, sometimes not. UCTB applies identical verification logic every time, removing execution variability.
Mode-Based Flexibility — Conservative and Aggressive modes allow traders to adjust verification strictness based on current market conditions without manually reconfiguring parameters.
🔶 ALGORITHM SPECIFICATION
The indicator operates through a sequential verification process:
Step 1: RSI Calculation — Computes RSI using the adaptive period. Scalping mode uses ta.rsi(close, 14). Swing mode uses ta.rsi(close, 21).
Step 2: Threshold Breach Detection — Identifies when RSI transitions into oversold (≤30) or overbought (≥70) territory from outside the zone.
Step 3: Bar Counting — Tracks elapsed bars since the trigger using ta.barssince().
Step 4: Sustainment Verification — Applies mode-specific verification. Conservative Mode verifies that RSI , RSI , and RSI all remain within the threshold zone. Aggressive Mode only verifies that 3 bars have elapsed since initial breach.
Step 5: Signal Dispatch — Signals are generated only when barstate.isconfirmed is true, ensuring bar-close confirmation.
🔶 RECOMMENDED USAGE
Timeframe Selection:
For Scalping Mode, use 15-minute to 1-hour charts. For Swing Mode, use 4-hour to Daily charts.
Mode Selection Guide:
In high volatility conditions, Scalping with Conservative mode provides stricter filtering for noisy conditions. In trending markets, Swing with Conservative mode offers higher confidence entries on pullbacks. In ranging or consolidating markets, Scalping with Aggressive mode captures more signals for range-bound trading. In low volatility environments, either style with Aggressive mode works well since looser filtering is acceptable when noise is lower.
Integration Recommendations:
Combine with support/resistance analysis for entry refinement. Use with volume confirmation for additional validation. Apply standard position sizing and risk management protocols.
🔶 SIGNAL INTERPRETATION
🟢 BUY Signal
Generated when RSI has sustained below 30 for the verification period (mode-dependent). Indicates that selling pressure has persisted across multiple bars, suggesting potential momentum exhaustion. Important: This is NOT a guarantee of reversal. It identifies conditions where sustained RSI weakness may precede a bounce.
🔴 SELL Signal
Generated when RSI has sustained above 70 for the verification period. Indicates that buying pressure has persisted across multiple bars, suggesting potential distribution. Use for exit planning or short consideration, not as an automatic execution trigger.
🔶 NON-REPAINTING CONFIRMATION
This indicator does NOT repaint. All signals validate against barstate.isconfirmed before generation. Historical signals remain fixed once the bar closes. What appears on historical charts is exactly what was displayed in real-time. Intrabar fluctuations may show preliminary readings, but final signals confirm only at bar close.
🔶 IMPORTANT LIMITATIONS
This indicator identifies sustained RSI threshold conditions; it does not predict price direction. Signals indicate potential reversal zones, not guaranteed reversals. Strong trends can maintain oversold/overbought conditions for extended periods without reversing. The 3-bar verification period is optimized for typical Bitcoin volatility; different assets may require adjustment. Sustainment verification reduces signal frequency — traders seeking high-frequency signals may find this limiting. Always use in conjunction with other analysis methods. Past signal patterns do not guarantee future performance. This is an analysis tool, not a standalone trading system.
🔶 RISK DISCLAIMER
Trading cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Bitcoin markets are highly volatile and can experience rapid price movements. This indicator is provided for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Past performance does not guarantee future results. All trading decisions are entirely your own responsibility. Never risk more than you can afford to lose.
🔶 HOW TO GET ACCESS
This script is provided as Invite-Only. To request access, please check the links in my TradingView profile.
BTC - Sentiment (Posts weighted) LSMABTC - Sentiment (Posts Weighted) LSMA | RM
Concept
In the current 2026 market regime, Bitcoin has transitioned into a mature institutional asset. However, retail "Social Liquidity" remains the primary driver of local volatility and blow-off tops. This script serves as a deterministic proxy for crowd conviction, utilizing the LUNARCRUSH:BTC_SENTIMENT feed to identify when social hype has decoupled from fundamental value.
Data Source: LunarCrush Integration
This model utilizes the native LunarCrush data prefix. Unlike simple "mention counts," the BTC_SENTIMENT metric is a percentage-based value (0-100%) representing the "Sentiment of positive posts weighted by interactions."
• Interactions vs. Volume: By weighting sentiment by interactions (likes, shares, comments), the data filters out bot-driven "spam" and focuses on what real participants are actually engaging with.
• Meaning of the Value: 100% indicates that every single interaction-weighted post is positive; 0% indicates total negativity. Historically, BTC sentiment rarely drops below 60% or stays above 90% for long, creating a predictable mean-reverting corridor.
Technical Architecture
• The LSMA Denoising Engine Raw social data is inherently "jittery." To extract a tradable signal, we apply a Least Squares Moving Average (LSMA) with a 28-day lookback.
• Mathematical Advantage: Unlike a Simple Moving Average (SMA), the LSMA calculates a linear regression line for each period to find the "best fit." This allows the indicator to track the velocity of sentiment shifts with significantly less lag, which is critical for identifying "Social Exhaustion" before a price reversal occurs.
• The Social Heat Index (SHI) Calculation: To align this data with the broader Rob Maths ecosystem, we normalize the LSMA output into a standardized 0–10 score using a Linear Feature Scaling (Min-Max) formula: SHI = ((Current LSMA - 65) / 25) * 10 ; This formula treats 65% as the "Floor" (Apathy) and 90% as the "Ceiling" (Hysteria). This 0–10 scale allows for immediate comparison against other institutional risk metrics.
Regime Audits & Usage
• Accumulation (Blue Zone / <72.5%): Social Despair. Retail interest is at a mathematical minimum. Historically, these periods of "Social Apathy" coincide with major local bottoms as institutional "Smart Money" absorbs the lack of retail demand.
• Neutral Zone (Grey): Sustainable growth. Sentiment is within the normal distribution.
• Distribution (Red Zone / >82.5%): Overheated. The crowd is in a state of maximum FOMO. When the SHI exceeds 8.5/10, the risk of a "Liquidity Flush" increases significantly.
Visual Scaling
To ensure the curve is readable, the indicator pane is hard-locked to a 65–90 scale. This prevents the "flat line" effect often seen in 0-100 oscillators and highlights the subtle divergences that occur at cycle peaks.
Disclaimer
Past performance does not guarantee future results. Social metrics are alternative data points and should be used in conjunction with price action and risk management. This is a mathematical model, not financial advice.
Tags
Rob Maths, Rob_Maths, robmaths, Bitcoin, Sentiment, LunarCrush, Quant, LSMA, OnChain, Social Liquidity
Multi-Indicator Scoring System# Multi-Indicator Scoring System
## Overview
This indicator combines five technical analysis tools (RSI, MACD, EMA trends, and Volume) into a single unified scoring system that generates clear BUY and SELL signals. Instead of analyzing multiple indicators separately and dealing with conflicting signals, this script calculates one comprehensive 0-100% score that shows current market strength at a glance.
## Purpose and Originality
**Problem it solves:**
Traders using multiple indicators individually often face contradictory signals. For example, RSI might show oversold conditions while MACD indicates bearish momentum, or price is above EMA but volume is weak. This creates confusion and leads to poor trading decisions or missed opportunities.
**Solution:**
This script uses a weighted scoring algorithm that only generates signals when multiple technical components mathematically agree. Each indicator contributes weighted points based on its reliability in crypto markets, and the combined score filters out noise by requiring multi-indicator confirmation before triggering a signal.
**What makes it original:**
Unlike simple indicator overlays that just display multiple tools side-by-side, this script:
- Uses a mathematically weighted scoring system where each component has justified importance
- Requires conditional alignment—signals only appear when components agree, not just individual crossovers
- Normalizes complex multi-indicator data into one intuitive percentage
- Includes built-in volume confirmation to filter low-conviction setups
This approach mirrors professional algorithmic trading systems that use multi-factor quantitative models.
## How Components Work Together
The script analyzes five technical components and assigns weighted points to each:
### 1. RSI (Relative Strength Index) - Weight: 25 points
- **Period:** 14
- **Function:** Identifies overbought and oversold conditions
- **Scoring logic:**
- RSI < 30 (oversold) → +25 points (bullish reversal signal)
- RSI > 70 (overbought) → -25 points (bearish reversal signal)
- RSI between 30-70 → 0 points (neutral)
- **Why 25 points:** RSI is highly reliable for detecting potential reversal zones in cryptocurrency markets
### 2. MACD (Moving Average Convergence Divergence) - Weight: 25 points
- **Parameters:** Fast=12, Slow=26, Signal=9
- **Function:** Detects momentum shifts and trend changes
- **Scoring logic:**
- MACD line > Signal line → +25 points (bullish momentum)
- MACD line < Signal line → -25 points (bearish momentum)
- **Why 25 points:** MACD is the gold standard for momentum confirmation across timeframes
### 3. EMA Short-Term Trend (21 vs 50) - Weight: 25 points
- **Function:** Confirms immediate trend direction
- **Calculation:** Compares EMA 21 to EMA 50, plus price position relative to EMA 21
- **Scoring logic:**
- EMA 21 > EMA 50 AND Price > EMA 21 → +25 points (strong uptrend)
- EMA 21 < EMA 50 AND Price < EMA 21 → -25 points (strong downtrend)
- Mixed conditions → 0 points (no clear trend)
- **Why 25 points:** Short-term trend alignment is critical for accurate entry timing
### 4. EMA Long-Term Context (200) - Weight: 15 points
- **Function:** Validates overall market structure
- **Calculation:** Price position relative to 200-period EMA
- **Scoring logic:**
- Price > EMA 200 → +15 points (bull market context)
- Price < EMA 200 → -15 points (bear market context)
- **Why 15 points:** Lower weight because long-term trend changes more slowly
### 5. Volume Confirmation - Weight: 10 points (Bonus)
- **Function:** Confirms genuine market interest versus noise
- **Calculation:** Current volume compared to 20-period SMA
- **Scoring logic:**
- Volume > 1.5× average → +10 bonus points
- Volume ≤ 1.5× average → 0 bonus points
- **Why 10 points:** Volume adds conviction but shouldn't override technical setup
### Score Aggregation Formula
**Why these thresholds?**
Backtesting on BTC/ETH showed optimal risk/reward at 65/35 levels. Lower thresholds (50%) produce too many false signals, while higher thresholds (80%) miss opportunities. The 65/35 balance provides good sensitivity with acceptable accuracy.
## How to Use This Indicator
### Visual Components
**On Chart:**
- **Green triangle (▲) below candle** = BUY signal (score crossed above 65%)
- **Red triangle (▼) above candle** = SELL signal (score crossed below 35%)
- Clean display with no background colors or extra lines
**Dashboard Table (top-right corner):**
- **Header:** "CRYPTO SIGNAL"
- **SCORE:** Current percentage (0-100%)
- Green color = Bullish zone (65%+)
- Red color = Bearish zone (35%-)
- Orange color = Neutral zone (36-64%)
- **SIGNAL:** Current status (BUY/SELL/WAIT)
### Interpreting the Score
- **70-100% (Strong Bullish):** All or most indicators agree market is going up. Consider long positions.
- **65-69% (BUY Signal Zone):** Enough confirmation for entry. BUY signals trigger here.
- **36-64% (Neutral Zone):** No clear direction. Wait for clearer setup or maintain existing positions.
- **31-35% (SELL Signal Zone):** Enough confirmation for exit. SELL signals trigger here.
- **0-30% (Strong Bearish):** All or most indicators agree market is going down. Avoid longs or consider shorts.
### Step-by-Step Usage
1. **Add to chart:** Click "Add to favorites" then add from your indicators list
2. **Check the score:** Look at the dashboard table in the top-right corner
3. **Wait for signals:**
- Green triangle appears = Consider buying
- Red triangle appears = Consider selling
- No triangle = Wait patiently for clearer setup
4. **Confirm with price action:** Best results when signals appear at support/resistance levels
5. **Use risk management:** Always set stop losses (3-5% below entry for longs)
6. **Set alerts (optional):** Right-click indicator → "Add alert" → Choose "BUY Signal" or "SELL Signal"
### Best Practices
**Recommended Timeframes:**
- **4-Hour (4H):** Best for swing trading, optimal signal frequency (3-7 per month), lowest false signal rate
- **Daily (1D):** Best for position trading, very high reliability, ideal for patient traders
- **1-Hour (1H):** More signals but noisier, only for experienced traders
- **Below 15 minutes:** Not recommended, too many false signals
**Recommended Markets:**
- Bitcoin (BTCUSDT, BTCUSD) - Most reliable
- Ethereum (ETHUSDT, ETHUSD) - Excellent results
- Major altcoins (SOL, XRP, ADA, etc.) - Works well on top 20 by market cap
**Risk Management:**
- Position size: Risk only 1-2% of account per trade
- Stop loss: Place 3-5% below entry (BUY) or above entry (SELL)
- Take profit: Target 2-3× your risk distance
- Trail stops: Move to breakeven after 1:1 profit achieved
**Advanced Tips:**
- Combine signals with support/resistance levels for higher probability setups
- Check multiple timeframes: if 4H and 1D both show BUY, signal is stronger
- Wait for candle close before acting on signals
- Ignore signals against the higher timeframe trend direction
- Only trade signals accompanied by volume spikes (check dashboard)
## Default Settings
The indicator uses pre-optimized parameters based on backtesting:
- RSI Period: 14
- MACD: 12, 26, 9
- EMA Short-term: 21, 50
- EMA Long-term: 200
- Volume threshold: 1.5× average
- Signal thresholds: BUY ≥65%, SELL ≤35%
These settings are designed for cryptocurrency markets on 4H and 1D timeframes and do not require adjustment for most users.
## Limitations and Disclaimers
**What this indicator CANNOT do:**
- Predict black swan events (exchange hacks, major regulations, etc.)
- Work effectively during extreme market manipulation
- Replace proper risk management and stop losses
- Guarantee profits (no indicator can)
- Account for fundamental news (Fed decisions, major announcements)
**When signals may be less reliable:**
- Low volume periods (weekends, holidays)
- High-impact news events
- Extreme volatility (>10% daily price moves)
- Prolonged sideways/ranging markets
**Important warnings:**
- This is a technical analysis tool, not financial advice
- Past performance does not guarantee future results
- Always use stop losses to protect capital
- Test the indicator with small positions first
- Do your own research before trading
## Technical Specifications
- **Pine Script Version:** v5
- **Type:** Overlay indicator
- **Signals:** Non-repainting (confirmed at candle close only)
- **Calculation frequency:** Every bar recalculates based on current values
- **Alerts:** Available for BUY and SELL threshold crossings
- **Resource usage:** Optimized for efficient runtime performance
## Additional Notes
- Signals appear only once when threshold is crossed (no repeated signals during same trend)
- Volume filter helps eliminate low-conviction signals
- Works on any cryptocurrency pair with sufficient liquidity
- Can be combined with other indicators for additional confirmation
- Suitable for both beginners (simple visual signals) and experienced traders (customizable for deeper analysis)
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**This indicator provides educational value by demonstrating how multi-indicator confirmation systems work and how weighted scoring can reduce false signals compared to using individual indicators alone.**
Squeeze Momentum + ADX MemoThis indicator is a comprehensive technical analysis tool that combines the volatility detection of the Squeeze Momentum with the trend strength of the ADX (Average Directional Index). It is optimized to provide a clear reading of price action across multiple timeframes.
Unlike standard oscillators, this customized version by Memo integrates a dynamic Multi-Timeframe (MTF) info panel and a visual scaling system, allowing you to monitor strength and momentum in a single pane without cluttering your price chart.
🛠 KEY FEATURES
Squeeze Momentum: Identifies compression phases (red dots) and volatility breakouts (green dots).
Dynamic ADX: ADX and DI+/DI- lines are proportionally scaled to the histogram for intuitive visualization.
Multi-Timeframe Analysis (MTF): A dedicated dashboard shows trend strength and direction (EMA 200) for both the current chart and a higher timeframe (e.g., 1D).
Divergence Detector: Automatically identifies Bullish and Bearish divergences (BULL/BEAR DIV).
Signal Labels: LONG and SHORT markers triggered when trend strength is confirmed.
📘 DETAILED USER GUIDE
1. Understanding the Elements
Histogram: Cyan/Blue (Bullish), Red/Maroon (Bearish).
Center Dots: Red dots indicate the market is "squeezing" (price compression/accumulation). Green dots indicate the squeeze has released and a trend is underway.
White Line (ADX): Above the Critical Level (23) indicates a strong trend. Below 23 suggests a range-bound or "choppy" market.
2. Trading Strategy (High Probability Setup)
LONG Entry (Buy):
Squeeze: Red dots must be present (accumulation phase).
Shift: Histogram starts moving up or changes to recovery colors.
Strength: The ADX (white line) crosses above the critical level (23).
Confirmation: DI+ (green) must be above DI- (red).
Macro Filter: The dashboard must show a BULLISH trend on the Higher Timeframe.
SHORT Entry (Sell):
Squeeze: Red dots must be present.
Shift: Histogram starts dropping with increasing momentum.
Strength: The ADX crosses above the critical level (strength is gaining on the downside).
Confirmation: DI- (red) must be above DI+ (green).
Macro Filter: The dashboard must show a BEARISH trend on the Higher Timeframe.
3. Divergences & Exits
Use the BULL DIV and BEAR DIV labels as warning signals. A divergence against your current position is a clear sign to take profits or tighten your Stop Loss.
4. Info Panel (Dashboard)
ADX Metric: If both timeframes (Current and Higher) are green, the probability of a successful trend trade increases significantly.
Trend: Based on the 200 EMA. Memo's Golden Rule: Avoid trading against the higher timeframe trend to stay away from "fakeouts."
EUR/USD: EUR USD 5 MIN SCALPING by Scalper Pro Systems// DISCLAIMER:
// This script is for educational purposes only. It is not financial advice.
// Past performance does not guarantee future results.
// Use this tool at your own risk.
EUR/USD: EUR USD 5 MIN SCALPING by Scalper Pro Systems
Overview
This is a plug-and-play scalping system designed specifically for the EUR/USD 5-Minute chart . Created by Scalper Pro Systems , it simplifies intraday trading by automatically generating Buy/Sell signals with precise Take Profit and Stop Loss levels.
How It Works
The strategy uses a "Safety First" approach to find stable entries:
1. Trend Filter (EMA 200): Ensures you only trade with the main trend (Buy only if price is above; Sell only if price is below).
2. Entry Trigger (EMA 9 & 21): Identifies short-term momentum shifts.
3. Noise Filter (RSI): Prevents entering trades when momentum is weak or exhausted.
Main Features
🟢🔴 Clear Signals: Draws Green (Buy) and Red (Sell) boxes directly on the chart.
📉📈 Auto TP & SL: Instantly calculates your Stop Loss (based on recent swing lows/highs) and Take Profit (1.5x risk) and displays the exact price numbers.
⏱️ Live Tracking: The system tracks the trade for you and marks exactly when and where the Target or Stop Loss was hit.
📊 Dashboard: Shows Signal Time, Entry Price, TP, and SL in a clean information box.
Best Settings
Timeframe: 5 Minutes
Asset: EUR/USD (Can also be used on Gold/XAUUSD or Indices)
Session: Best used during London or New York sessions.
Risk Warning
Trading involves risk. This tool helps visualize a strategy but does not guarantee profits. Always manage your risk.
Bullish Divergent Bar DCA Strategy [Skyrexio]Overview
Bullish Divergent Bar DCA Strategy is a long-only, multi-layer Dollar-Cost Averaging (DCA) strategy that builds positions around bullish divergent bars formed below the Williams Alligator. It detects potential local bottoms and then scales into the move using up to four pyramiding entries, each with its own size and price threshold. The strategy optionally incorporates Market Facilitation Index (MFI) and Awesome Oscillator (AO) momentum to strengthen reversal confirmation and uses ATR-based take profit on the averaged entry price.
Unique Features
Layered DCA entries with equity-based sizing . It supports up to four DCA layers, where each additional layer is opened only after a configurable percentage drawdown from the first entry and position size is computed as a fraction of current equity via a geometric weighting scheme.
Optional AO and MFI confirmation . Users can require Awesome Oscillator momentum divergence, MFI/volume “squat” bars, or both to confirm that the reversal bar is accompanied by capitulation and weakening downside momentum.
ATR-based dynamic take profit . Take profit is defined as a multiple of ATR added to the current average entry price, automatically adjusting exits to prevailing volatility.
Built-in DCA visualization . The script can plot the initial entry level and all DCA thresholds to make the averaging structure and risk visually transparent on the chart.
Methodology
The core entry logic starts from a bullish divergent bar definition: the bar must close above its midpoint (close > hl2) and be the lowest low within the user-defined lookback window, flagging a local swing low. On top of this, the bar must form entirely below all three Alligator lines, ensuring that the pattern appears after a sustained downside move rather than inside noise.
If enabled, AO adds a momentum filter by requiring the Awesome Oscillator difference to be negative (descending bar on AO histogram), signaling fading downside momentum at the potential bottom. If the MFI filter is enabled, the bar (or one of the last two bars) must be a “squat” bar where spread narrows while volume increases, approximating effort vs. result exhaustion.
Once a valid bullish reversal bar is detected and the time is within the configured trading window, the strategy opens the first DCA layer using a stop entry at the bar’s high (confirmation level), only entering if price actually breaks the bar high. Additional layers (second, third, and fourth entries) are only allowed if price trades below percentage thresholds from the first entry price and a new valid bullish reversal bar forms, thereby averaging down into deep pullbacks while still requiring fresh reversal evidence.
While any DCA position is open, the strategy continuously recalculates the take profit as the current volume-weighted average entry price plus ATR multiplied by a user-defined factor. All individual entries share the same take profit level through separate strategy exit calls, so the entire stacked position exits together once price has moved sufficiently above the averaged entry.
Strategy settings
In the inputs window, users can configure the following strategy settings:
sourceUuid / secretToken: Identifiers used to format JSON alerts for automated execution through webhooks.
Trade Start Date/Time: Beginning of the backtest/live-trading window.
Trade Stop Date/Time: End of the backtest/live-trading window.
Show DCA Levels (default = false): Toggles plotting of the initial entry level and all three DCA thresholds on the chart.
Enable MFI (default = false): Enables the MFI-style volume/spread filter.
Enable AO (default = false): Enables Awesome Oscillator confirmation.
Number Of Bar For Lowest Bar (default = 7): Lookback window used to identify the lowest low bar for the bullish reversal bar condition.
Layer 2 Threshold Percent (default = 4.0): Percentage drop from the first layer price that must be reached to allow the second DCA entry.
Layer 3 Threshold Percent (default = 10.0): Percentage drop from the first layer price required to unlock the third DCA layer.
Layer 4 Threshold Percent (default = 22.0): Percentage drop from the first layer price required to unlock the fourth DCA layer.
Position Size Multiplier (default = 2.0): Multiplier used in the geometric weighting scheme to determine how much equity is allocated to each additional DCA layer.
Number Of ATR For Take Profit (default = 2.0): ATR multiple added to the current average entry price to calculate the shared take profit for all open layers.
Users can refine these parameters during backtesting to fit the volatility profile and structure of the specific asset and timeframe.
Justification of Methodology
Before understanding why this particular combination of indicator has been chosen let's briefly explain what is Williams Alligator, MFI and AO.
let’s start with the Williams Alligator. Developed by Bill Williams, the Alligator is a technical indicator that identifies trends and potential market reversals. It consists of three smoothed moving averages:
Jaw (Blue Line): The slowest of the three, based on a 13-period smoothed moving average shifted 8 bars ahead.
Teeth (Red Line): The medium-speed line, derived from an 8-period smoothed moving average shifted 5 bars forward.
Lips (Green Line): The fastest line, calculated using a 5-period smoothed moving average shifted 3 bars forward.
When the lines diverge and align in order, the "Alligator" is "awake," signaling a strong trend. When the lines overlap or intertwine, the "Alligator" is "asleep," indicating a range-bound or sideways market. This indicator helps traders determine when to enter or avoid trades.
The Awesome Oscillator (AO), developed by Bill Williams, is a momentum indicator designed to measure market momentum by contrasting recent price movements with a longer-term historical perspective. It helps traders detect potential trend reversals and assess the strength of ongoing trends.
The formula for AO is as follows:
AO = SMA5(Median Price) − SMA34(Median Price)
where:
Median Price = (High + Low) / 2
SMA5 = 5-period Simple Moving Average of the Median Price
SMA 34 = 34-period Simple Moving Average of the Median Price
The Market Facilitation Index (MFI) is a technical indicator that measures the price movement per unit of volume, helping traders gauge the efficiency of price movement in relation to trading volume. Here's how you can calculate it:
MFI = (High−Low)/Volume
MFI can be used in combination with volume, so we can divide 4 states. Bill Williams introduced these to help traders interpret the interaction between volume and price movement. Here’s a quick summary:
Green Window (Increased MFI & Increased Volume): Indicates strong momentum with both price and volume increasing. Often a sign of trend continuation, as both buying and selling interest are rising.
Fake Window (Increased MFI & Decreased Volume): Shows that price is moving but with lower volume, suggesting weak support for the trend. This can signal a potential end of the current trend.
Squat Window (Decreased MFI & Increased Volume): Shows high volume but little price movement, indicating a tug-of-war between buyers and sellers. This often precedes a breakout as the pressure builds.
Fade Window (Decreased MFI & Decreased Volume): Indicates a lack of interest from both buyers and sellers, leading to lower momentum. This typically happens in range-bound markets and may signal consolidation before a new move.
For our purposes we are interested in squat bars. This is the sign that volume cannot move the price easily. This type of bar increases the probability of trend reversal. In this indicator we added to enable the MFI filter of reversal bars. If potential divergent bar or two preceding bars have squat state this bar can be interpret as a reversal one.
The strategy intentionally focuses on bullish divergent bars forming at local lows and below the Alligator to catch potential exhaustion points in downtrends where risk/reward becomes asymmetric. The Alligator (Jaw, Teeth, Lips) acts as a dynamic structure filter: requiring price to be below all three lines before reversal helps avoid chasing minor pullbacks inside an ongoing uptrend and instead concentrates entries on deeper corrections where mean reversion potential is higher.
The custom bullish divergent bar rule (close above midpoint and being the lowest low over N bars) approximates a local capitulation candle, which often precedes short squeezes or at least strong reactions. By combining this with AO and MFI-style filters, the strategy further increases the likelihood that the pattern coincides with downside momentum(as a confirmation that current trend is downward, AO difference < 0) and effort vs. result anomalies (squat bars), which is common signatures of trend exhaustion.
The DCA structure is designed to deploy capital progressively rather than all at once: the first entry is triggered only if price confirms the reversal by breaking above the bar’s high, while subsequent layers require both a deeper discount relative to the initial entry and a new bullish reversal signal. Percentage thresholds from the first entry ensure that each additional allocation is made at meaningfully better prices, improving the blended entry level and reducing the break-even distance.
Finally, using ATR as the basis for take profit aligns exits with current volatility. A fixed-percentage target can be too tight in volatile regimes or too loose in quiet markets, whereas ATR-based targets scale with average bar range. Applying ATR to the evolving average entry price of all open layers keeps the risk/reward framework consistent across different volatility regimes and DCA configurations.
Backtest Results
Operating window: Date range of backtests is 2025.01.01 - 2026.01.01. It is chosen to let the strategy to close all opened positions.
Commission and Slippage: Includes a standard Binance commission of 0.1% and accounts for possible slippage over 5 ticks.
Initial capital: 10000 USDT
Maximum Single Position Loss: -6.56%
Maximum Single Profit: +4.92%
Net Profit: +934.08 USDT (+9.34%)
Total Trades: 121 (82.64% win rate)
Profit Factor: 2.948
Maximum Accumulated Loss: 624.72 USDT (-6.15%)
Average Profit per Trade: 7.72 USDT (+0.37%)
Average Trade Duration: 60 hours
These results are obtained with realistic parameters representing trading conditions observed at major exchanges such as Binance and with realistic trading portfolio usage parameters.
You should run your own backtests on the target asset and timeframe (for example, BTC/USDT on intraday charts) and adjust threshold percentages, layer sizing, and ATR take profit factor to match your risk tolerance and market conditions.
How to Use
Add the script to favorites for easy access.
Apply to the desired timeframe and chart.
Configure settings using the dropdown choice list in the built-in menu.
Set up alerts to automate strategy positions through web hook with the text: {{strategy.order.alert_message}}
Disclaimer:
Educational and informational tool reflecting Skyrex commitment to informed trading. Past performance does not guarantee future results. Test strategies in a simulated environment before live implementation
Crypto BaseBTC RSI (Auto)Indicator Overview
This script is a crypto-specific RSI indicator that automatically derives the base asset from the current trading pair (for example, ETHUSDT or ETHUSDT.P) and then calculates RSI using the corresponding BTC pair on Binance (for example, BINANCE:ETHBTC).
It is designed to help you monitor relative strength versus BTC while trading USDT-based markets.
Key Features
Automatic symbol mapping : Extracts the base asset from the chart symbol and references BINANCE:BASEBTC.
RSI calculated on BTC pair : RSI is computed from the BTC-denominated market instead of the current quote currency.
Color-coded RSI line :
RSI > 70 → Red (Overbought)
RSI < 30 → Green (Oversold)
Otherwise → Gray (Neutral)
Extreme-zone candle coloring : Candles are colored when RSI enters overbought or oversold conditions.
Built-in alert conditions : Supports 4 alert types based on RSI crossing key levels.
Alert Types Included
RSI Cross Up 70 (Entering Overbought)
RSI Cross Down 70 (Exiting Overbought)
RSI Cross Down 30 (Entering Oversold)
RSI Cross Up 30 (Exiting Oversold)
These alerts can be selected directly in TradingView’s Alert creation menu.
How to Use
Add the indicator to any crypto chart such as ETHUSDT, SOLUSDT, or perpetual variants like ETHUSDT.P.
The script will automatically reference the BTC pair on Binance:
Example: ETHUSDT → RSI source becomes BINANCE:ETHBTC
Watch the RSI panel for overbought/oversold signals relative to BTC strength.
Enable candle coloring if you want extreme RSI conditions highlighted on the main chart.
Create alerts in TradingView:
Open Alerts → Select this indicator → Choose one of the 4 RSI crossing conditions
Practical Interpretation
RSI > 70 on BASEBTC may indicate the asset is overextended versus BTC.
RSI < 30 on BASEBTC may indicate the asset is weak versus BTC and potentially due for a rebound.
This provides a BTC-relative momentum view even when trading USDT markets.
