AlphaZ-Score - Bitcoin Market Cycle IndicatorOverview
AlphaZ-Score is a comprehensive Bitcoin market cycle indicator that combines multiple on-chain, technical, and fundamental metrics into a single normalized oscillator. By aggregating Z-scores from various proven Bitcoin indicators, it provides clear overbought and oversold signals that align with Bitcoin's cyclical nature.
Key Features:
Multi-dimensional market analysis combining 7 different methodologies
Normalized Z-score output ranging from extreme oversold (-3+) to extreme overbought (+3+)
Modular design - enable/disable individual components
Real-time market condition assessment with visual feedback
Optimized for Bitcoin's unique market dynamics
How It Works
AlphaZ-Score calculates individual Z-scores for each enabled indicator, then combines them using a weighted average approach. A Z-score measures how many standard deviations a value is from its historical mean, making it perfect for identifying extreme market conditions.
Interpretation:
+3 or higher: Extreme Overbought (Strong Sell Signal)
+2 to +3: Overbought (Sell Signal)
-2 to +2: Neutral Zone
-2 to -3: Oversold (Buy Signal)
-3 or lower: Extreme Oversold (Strong Buy Signal)
Component Indicators
1. Days Higher Streak Valuation (DHSV)
Purpose: Measures how many days in historical data had higher prices than current price, accounting for price streaks and momentum decay.
How it works:
Counts historical days with prices above current level
Tracks consecutive "streak" days when no historical prices are higher
Applies dynamic threshold decay to account for sustained moves
Higher streak values indicate potential oversold conditions
Key Parameters:
Historical Bars (1000): Number of past bars to analyze for comparison
Lower Streak Threshold (5%): Percentage threshold for price comparison
Threshold Decay (0.05): Rate at which threshold decays over time
Z-Score Lookback (1000): Period for calculating the Z-score normalization
2. High Probability Overbought/Oversold (HPOB)
Purpose: Advanced momentum indicator using volume-weighted Hull moving averages to identify high-probability reversal zones.
How it works:
Calculates Volume-Weighted Hull Moving Average (SVWHMA)
Compares with standard Hull Moving Average
Normalizes the difference using 100-period SMA
Extreme readings indicate momentum exhaustion
Key Parameters:
SVWHMA Length (50): Period for volume-weighted Hull MA calculation
HMA Length (50): Period for standard Hull MA
Smooth Length (50): EMA smoothing period for final output
3. Stablecoin Supply Ratio Oscillator (SSRO)
Purpose: Analyzes the relationship between Bitcoin's market cap and major stablecoin supply (USDT + USDC) to gauge buying power available.
How it works:
Calculates ratio: BTC Market Cap / (USDT Supply + USDC Supply)
Higher ratios indicate Bitcoin is expensive relative to available stablecoin liquidity
Z-score normalization identifies extreme ratios historically
Key Parameters:
SSRO Length (200): Lookback period for Z-score calculation
Market Logic: When stablecoin supply is high relative to BTC market cap, it suggests significant buying power exists (bearish for current price). When ratio is high, it suggests Bitcoin is overvalued relative to available liquidity.
4. MVRV Z-Score
Purpose: Classic Bitcoin cycle indicator comparing Market Value to Realized Value, identifying macro cycle tops and bottoms.
How it works:
Uses MVRV ratio data (Market Cap / Realized Cap)
Realized Cap values coins at the price they last moved, not current price
High MVRV indicates coins are trading well above their "fair value"
Z-score normalization identifies historical extremes
Key Parameters:
MVRV Length (520): Period for Z-score calculation (~2 years of daily data)
Market Logic: MVRV > 3.7 historically marks cycle tops, while MVRV < 1.0 marks cycle bottoms. The Z-score version normalizes these levels across different market cycles.
5. Risk Index Z-Score
Purpose: Proprietary risk calculation based on the relationship between realized cap and market cap over time.
How it works:
Calculates delta between current realized cap and historical realized cap
Normalizes by current market cap to create risk percentage
Applies time-based scaling and Z-score normalization
Key Parameters:
Risk Multiplier (0.625): Scaling factor for realized cap comparison
Risk Z Length (1500): Period for Z-score calculation
6. SOPR Z-Score (Spent Output Profit Ratio)
Purpose: Measures the profit ratio of coins being moved on-chain, indicating holder behavior and market sentiment.
How it works:
Uses Glassnode SOPR data (ratio of sold price to purchase price)
Applies EMA smoothing to reduce noise
Z-score normalization identifies extreme profit-taking or capitulation
Key Parameters:
SOPR EMA Length (7): Smoothing period for SOPR data
SOPR Z Length (180): Period for Z-score calculation
Market Logic: SOPR > 1 means coins are being sold at profit, SOPR < 1 indicates selling at a loss. Extreme Z-scores identify unsustainable profit-taking (tops) or capitulation (bottoms).
7. On-chain Z-Score Composite
Purpose: Multi-metric on-chain analysis combining NUPL, SOPR, and MVRV for comprehensive network state assessment.
Components:
NUPL (Net Unrealized Profit/Loss): (Market Cap - Realized Cap) / Market Cap
SOPR Z-Score: Standardized SOPR with custom smoothing
MVRV Z-Score: Market-to-realized value ratio normalized
Key Parameters:
NUPL Z Length (126): Period for NUPL Z-score calculation
SOPR Z Length (111): Period for on-chain SOPR Z-score
MVRV Z Length (111): Period for on-chain MVRV Z-score
SOPR EMA Length (14): Smoothing for SOPR Z-score component
How it works:
Averages the three Z-scores to provide a comprehensive on-chain market state assessment.
Input Parameters Guide
General Settings
Use : Toggle switches for each component indicator. Disabling indicators removes them from the aggregated calculation, potentially creating more extreme readings.
Optimization Tips
For more extreme signals: Disable complex indicators (DHSV, HPOB, Risk Index, On-chain) and focus on core cycle indicators (MVRV, SOPR, SSRO)
For more sensitivity: Reduce lookback periods on Z-score calculations
For smoother signals: Increase smoothing periods and Z-score lookback periods
For different timeframes: Adjust the lengths proportionally (e.g., halve all periods for 12H charts)
Default Configuration
The default settings are optimized for Bitcoin daily charts and focus on the three most reliable cycle indicators:
Enabled: SSRO, MVRV, SOPR
Disabled: DHSV, HPOB, Risk Index, On-chain (to achieve more extreme readings)
Visual Elements
Plot Colors
Bright Red: Extreme Overbought (Z-score ≥ 3)
Light Red: Overbought (Z-score ≥ 2)
Gradient: Neutral zone (-2 to +2)
Light Green: Oversold (Z-score ≤ -2)
Bright Green: Extreme Oversold (Z-score ≤ -3)
Reference Lines
Solid White: Zero line
Dashed Lines: ±2 levels (primary overbought/oversold)
Dotted Lines: ±3 levels (extreme conditions)
Background & Bar Coloring
Background highlighting during extreme conditions
Bar coloring changes when overbought/oversold thresholds are reached
Summary Table
Real-time market condition assessment displayed in the top-right corner showing current state and exact Z-score value.
Usage Strategy
For Long-term Investors
Buy: Z-score < -2 (especially < -3)
Sell: Z-score > +2 (especially > +3)
Hold: -2 to +2 range
For Traders
Reversal Signals: Look for divergences at extreme levels
Trend Confirmation: Use with price action and volume analysis
Risk Management: Reduce position sizes at extreme overbought levels
Best Practices
Combine with Price Action: Don't use in isolation
Consider Multiple Timeframes: Check higher timeframes for context
Wait for Confirmation: Extreme readings can persist during strong trends
Backtest Settings: Optimize parameters for your specific trading style
Technical Notes
Data Sources: Combines TradingView native data with external feeds from Glassnode, CoinMetrics, and IntoTheBlock
Update Frequency: Real-time on supported exchanges, daily updates for on-chain components
Computational Intensity: Moderate - uses multiple external data requests
Best Timeframe: Optimized for daily charts, but adaptable to other timeframes
The Aggregated Z-Score Market Oscillator represents a sophisticated approach to Bitcoin market analysis, combining the wisdom of multiple proven methodologies into a single, actionable signal. By understanding each component and how they interact, traders and investors can make more informed decisions about Bitcoin's cyclical nature.
Osilatörler
AlphaBTC - Long Term Trend Probability Indicator On Bitcoin📌 AlphaBTC – Long Term Trend Probability Indicator
The AlphaBTC LTPI is a quantitative model that measures the long-term trend probability of Bitcoin by aggregating signals from 9 advanced statistical and trend-following techniques.
Instead of relying on a single indicator, AlphaBTC blends tools like Gaussian smoothing, EMA Z-Score, KAMA oscillator, adaptive moving averages, supertrend percentiles, and volatility-adjusted filters into one combined score.
✅ What it shows:
A single trend probability score that flips LONG or SHORT
Built-in signal strength classification (Weak / Moderate / Strong)
A table breakdown of all 9 underlying models with individual scores
Color-coded bars for instant trend recognition
📊 Use cases:
Identify long-term BTC trend direction with higher statistical confidence
Filter out noise and short-term volatility
Improve swing-trading and position-trading decisions
Generate backtestable, systematic signals (alerts included)
⚡ Why it’s different:
AlphaBTC removes guesswork by combining multiple independent models into one clear framework — giving you a probability-driven trend view of Bitcoin.
Volume Delta Oscillator with Divergence█ OVERVIEW
The Volume Delta Oscillator with Divergence is a technical indicator designed for the TradingView platform, helping traders identify potential trend reversal points and market momentum shifts through volume delta analysis and divergence detection. The indicator combines a smoothed volume delta oscillator with moving average-based signals, overbought/oversold levels, and divergence visualization, enhanced by configurable gradients and alerts for quick decision-making.
█ CONCEPT
The core idea of the indicator is to measure net buying or selling pressure through volume delta, smooth it for greater clarity, and detect divergences between price action and the oscillator. The indicator does not use external data, making it a compromise but practical tool for analyzing market dynamics based on available price and volume data. It provides insights into market dynamics, overbought/oversold conditions, and potential reversal points, with an attractive visual presentation.
█ WHY USE IT?
- Divergence detection: Identifies bullish and bearish divergences between price and the oscillator, signaling potential reversals.
- Volume delta analysis: Measures cumulative volume delta to assess buying/selling pressure, expressed as a percentage for cross-market comparability.
- Signal generation: Creates buy/sell signals based on overbought/oversold level crossovers, zero line crossovers, and moving average zero line crossovers.
- Visual clarity: Uses gradients, fills, and dynamic colors for intuitive chart analysis.
- Flexibility: Numerous settings allow adaptation to various markets (e.g., forex, crypto, stocks) and trading strategies.
█ HOW IT WORKS?
- Volume delta calculation: Computes net buying/selling pressure per candle as volume * (close - open) / (high - low), aggregated over a specified period (Cumulative Delta Length).
- Smoothing: Applies an EMA (Smoothing Length) to the cumulative delta percentage, creating a smoother oscillator (Delta Oscillator).
- Moving Average: Calculates an SMA (Moving Average Length) of the smoothed delta for trend confirmation (Moving Average (SMA)).
- Divergence detection: Identifies bullish and bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length).
- Normalization: Delta is expressed as a percentage of total volume, ensuring consistency across instruments and timeframes.
- Signals: Generates signals for:
Crossing the oversold level upward (buy) or overbought level downward (sell).
Crossing the zero line by the oscillator or moving average (buy/sell).
Bullish/bearish divergences, marked with labels.
- Visualization: Draws the oscillator and moving average with dynamic colors, gradient fills, and transparent bands and labels, with configurable overbought/oversold levels.
- Alerts: Built-in alerts for divergence detection, overbought/oversold crossovers, and zero line crossovers (both oscillator and moving average).
█ SETTINGS AND CUSTOMIZATION
- Cumulative Delta Length: Period for aggregating volume delta (default: 14).
- Smoothing Length (EMA): EMA length for smoothing the delta oscillator (default: 2). Higher values smooth the signal but reduce the number of generated signals.
- Moving Average Length (SMA): SMA length for the moving average line (default: 40). Higher values allow SMA to be analyzed as a trend indicator, but require adjusting overbought/oversold levels for MA, as longer MA oscillates less.
- Pivot Length (Left/Right): Number of candles for detecting pivot highs/lows in divergence calculations (default: 2). Higher values can reduce noise but introduce a delay equal to the set value.
- Overbought/Oversold Levels: Thresholds for the oscillator (default: 18/-18) and for the moving average (default: 10/-10). For the moving average, no arrows appear; instead, the band changes color from gray to green (oversold) or red (overbought), which can strengthen entry signals for delta.
- Signal Type: Select signals to display: "Overbought/Oversold", "Zero Line", "MA Zero Line", "All", or "None" (default: Overbought/Oversold).
- Colors and gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels.
- Transparency: Adjust gradient fill transparency (default: 70) and band/label transparency (default: 40) for consistent appearance.
- Visualizations: Enable/disable the moving average, gradients for zero/overbought/oversold levels, and gradient fills.
█ USAGE EXAMPLES
- Momentum analysis: Observe the delta oscillator above 0 for bullish momentum or below 0 for bearish momentum. The moving average (SMA), being smoothed, reacts more slowly and can confirm trend direction as a noise filter.
- Reversal signals: Look for buy triangles when the oscillator crosses the oversold level upward, especially when the moving average is below the MA oversold threshold. Similarly, look for sell triangles when crossing the overbought level downward, with the moving average above the MA overbought threshold. Divergence labels (bullish/bearish) indicate potential reversals.
- Divergence trading: Use bullish divergence labels (green) for potential buy opportunities and bearish labels (red) for sell opportunities, especially when confirmed by price action or other indicators.
- Customization: Adjust the cumulative delta length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals.
█ NOTES FOR USERS
- Combine the indicator with other tools, such as Fibonacci levels, RSI, or pivot points, to increase accuracy.
- Test different settings for cumulative delta length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
Custom ATR Stop Loss Calculator by riyukireiruCan automatically input the entry price, calculate ATR stop-loss, allow customizable period, adjustable table position, selectable MA ATR type, and customizable ATR value.
BNCS Ultimate Pro--- BNCS Ultimate Pro ---
**Overview:**
This is a powerful, multi-module trading indicator designed to precisely identify trend-following and reversal signals. It provides high-probability trading opportunities by filtering signals through a unique combination of analytical concepts.
**How It Works (Underlying Concepts):**
Our algorithm is built on several core principles to ensure high-quality signals:
* **Trend Confirmation:** The indicator combines volatility-based analysis (like dynamic trailing stops) with zero-lag moving average slopes to confirm the primary trend direction. This helps avoid choppy market conditions.
* **Reversal Detection:** Reversal signals are generated by identifying conditions like momentum divergence, volume exhaustion, and market structure shifts. It doesn't just rely on a single pattern.
* **Confidence Score:** Instead of just showing raw signals, the indicator calculates a "Trend Confidence" score based on how many internal modules agree, which helps in filtering out weaker signals.
**Key Features:**
* Clear Buy/Sell signals for both Trend and Reversal modes.
* Advanced filters (Higher Timeframe, Candle Rejection) to improve signal quality.
* Live on-chart dashboard providing real-time market analysis.
* Fully customizable settings to suit your trading style.
**How to Request Access:**
This is an invite-only script. To request access, please contact me directly through my TradingView profile. You can send me a private message.
---
**Disclaimer:**
This indicator is for educational purposes only and is not financial advice. All trading involves risk. This script is for personal use only. Copying, reselling, or sharing it is strictly prohibited.
Dual-Frame Momentum OscillatorDual-Frame Momentum Oscillator (DFMO)
This is not just another oscillator. This is a confluence engine, built for the discerning trader who reads the story of price action and needs an objective tool to confirm the climax.
The Dual-Frame Momentum Oscillator was designed to solve a specific problem: how to differentiate a genuine, sustainable breakout from an exhaustive liquidity grab. It provides a visual confirmation for high-probability reversal and scalp setups by measuring momentum across two distinct time frames simultaneously.
This tool is for the trader who understands that indicators should not dictate trades, but rather confirm a well-defined thesis based on market structure, volume, and liquidity.
The Core Concept: Context Meets Trigger
The DFMO fuses a slow, methodical Stochastic with a hyper-sensitive RSI to give you a complete picture of momentum.
The Context (Slow Stochastic %K - default 40,4,4): This acts as your long-term momentum gauge. It tells you if the underlying trend is healthy or nearing exhaustion. A high reading suggests the market is overextended and vulnerable, while a low reading suggests the opposite.
The Trigger (Fast RSI - default 3): This is your immediate impulse reader. It measures the velocity and intensity of the current price thrust, making it incredibly sensitive to exhaustive moves, spikes, and bounces.
By themselves, they are useful. Together, they are formidable.
The Confluence Engine: Your Visual Edge
The true power of the DFMO lies in its "Confluence Engine." The indicator's background highlights in real-time when both oscillators are in agreement, visually flagging moments of maximum opportunity.
Bearish Confluence Zone (Red): The background turns red only when the Stochastic is overbought AND the RSI is overbought. This is your signal that the broader trend is exhausted and the current buying impulse has reached a climax. It is the ideal confirmation for a short entry following a liquidity sweep above a key high.
Bullish Confluence Zone (Green): The background turns green only when the Stochastic is oversold AND the RSI is oversold. This signals that the downtrend is tired and the immediate selling pressure is exhaustive, providing high-probability confirmation for a long entry at a key support level.
When these zones appear, the indicator is telling you that both the context and the trigger are aligned. This removes ambiguity and allows for decisive, confident execution.
Practical Application: The Liquidity Sweep
Imagine you're stalking a short on a futures contract like MCL or MES. You've marked the high of the day (HOD) as a key resistance level where liquidity is resting. You see a sharp, vertical impulse move that breaks the HOD, clearing out the stops.
Is this a real breakout, or is it a manipulation move—a classic liquidity grab?
You glance down at the DFMO. The moment price swept the high, the background flashed red. That's your objective confirmation. The slow Stoch was already overbought, and the fast RSI spiking confirmed the exhaustive, terminal nature of that price thrust. You now have the confidence to enter your short scalp, knowing you are aligned with the probable direction of the market's next move.
This is how you move from "feeling" the market to systematically executing a high-probability edge. This is how you aspire for greatness.
Add the Dual-Frame Momentum Oscillator to your toolkit and transform your ability to time entries with surgical precision.
Luxy Momentum, Trend and Breakout Indicators Suit V4ABOUT THIS INDICATOR
Purpose: Help momentum/trend/breakout traders see the market’s “regime” at a glance, get clean flip signals, manage risk with clear SL/TP rails, and scan a small symbol list for fresh flips.
________________________________________________________________________
Why this exists
Most tools do one thing (only a moving average, only a VWAP, only a “flip” line). This indicator stitches together the pieces momentum & breakout traders actually use day-to-day, so you can:
Read trend bias fast (multi-TF dashboard).
Act on ATR-based flips (UT core).
Filter noise (volume/ADX/RSI/Donchian).
Place/maintain SL/TP rails visually.
Scan up to 15 symbols for fresh flips and alert them.
No magic, no promises — just practical structure designed to reduce second-guessing.
________________________________________________________________________
What’s unique here
UT Flip Signals: An ATR trailing stop that flips when price convincingly crosses it.
Modular Moving Averages: Choose EMA/SMA/WMA/VWMA/RMA/HMA independently for Fast/Medium/Long. Logic respects your choices (crosses, bias rows, floors).
VWAP with Weighted Bands: Session or anchored to Week/Month/Quarter/Year/Earnings/Dividends/Splits, with Standard-Deviation or % bands.
ZLSMA (optional): Zero-lag flavor of LSMA as a smooth trend line (plot-only).
Supertrend with Dynamic Thickness: Optional overlay where line width scales with normalized strength for quick “how strong?” reading.
Base LONG/SHORT with Filters: You can require Relative Volume, ADX/DI alignment, RSI pullback windows, and/or Donchian breaks.
Multi-Time Frame Bias Dashboard: Rows for MA cross, Price>Long MA, VWAP, MACD, Supertrend, ZLSMA, RSI-in-zone, ADX≥min across 1m→4h with AVG column.
UT Watchlist Scanner: Scan up to 15 symbols. Shows recent flips for a user-set TTL minutes, with optional one-per-day alert throttling.
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Quick start (3 minutes)
Pick your MA types . Simple baseline: Fast=EMA , Medium=EMA , Long=SMA(200) .
Decide on UT sensitivity : start with ATR Period 7–10 and Key 1.5–2.0 .
Tight markets → lower Key; choppy → higher Key.
Enable VWAP if you trade intraday; try Session anchor with 1×/2× bands.
Optionally switch on filters : Relative Volume, ADX/DI, RSI pullback, or Donchian break.
Open the Bias Table to see agreement across timeframes.
Use Suggested Stop Loss + optional Trailing Stop , plus TP R-levels for exits.
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Inputs overview
Moving Averages: Choose type per lane (Fast/Medium/Long) + lengths. Used for crosses, bias table and SL floors.
UT Bot: ATR-based trailing stop that flips on cross; optional %-change, swing and 2-bar delay filters.
VWAP: Session or higher-level anchors; optional bands by Std-Dev or Percentage.
ZLSMA: Plot-only zero-lag LSMA line (trend context).
Supertrend: Standard ST with optional dynamic-thickness overlay and neutral windows after a flip.
Filters: Relative Volume, ADX/DI, RSI Pullback window, Donchian breakout.
Risk Tools: Suggested Stop Loss rails (layered floors/ceilings), optional trailing stop (Chandelier ATR or Follow UT), and Take Profit R-levels (1, 1.5, 2, 3).
Bias Dashboard: Toggle rows/position/size, background color, and which metrics to show across Time Frames.
UT Watchlist Scanner: Up to 15 symbols; dedupes; TTL minutes; one-per-day throttle.
________________________________________________________________________
How to read the chart
Green UT bars/Buy label: Price above UT stop with a fresh flip (and optional filters passed). Think “momentum turning up.”
Orange UT bars/Sell label: Price below UT stop with a fresh flip. Think “momentum turning down.”
Bias rows: More green cells across TFs = broader alignment; the AVG column summarizes each row.
Supertrend width: Thicker = stronger move (normalized by ATR).
VWAP & bands: Price relative to VWAP shows mean-reversion vs. trend. Bands help gauge stretch.
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Alerts you can set
UT Bot — Buy/Sell: Fires when a flip occurs on the chart symbol/TF.
Base Long/Short: MA cross plus any filters you enabled.
Watchlist UT table status change: Notifies when the watchlist table receives new hits on the current bar. You can also enable “runtime alert” inside the scanner and/or throttle to one per symbol per day.
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FAQ (short)
Does this repaint? No — signals are computed without lookahead. Flips confirm on the bar that crosses the UT stop under your active filters.
Can I use Heikin Ashi visuals? You can plot HA candles on your chart if you want, but the script’s logic stays on regular candles to respect publishing rules.
Why is my scanner empty? Check TTL minutes, list formatting, and that each symbol is valid for your data plan.
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Hero (top): Full chart view showing UT flip, MAs, VWAP bands, Supertrend, and SL/TP rails.
Bias Table (mid): Cropped table with multiple rows enabled and a few green cells across TFs.
UT Flip Close-up (mid): Zoom on a Buy/Sell label with colored bars and the UT line.
VWAP Bands (mid): Zoom on VWAP + 1×/2× or % bands.
Settings (bottom): Screenshot of MA types + UT sensitivity tooltips, and the Watchlist input showing comma/space/newline list.
Adaptive RSIFor traders who want more control, the indicator allows customization of RSI length, smoothing type, and Bollinger Band settings, making it adaptable to day trading, swing trading, and even long-term investing.
In short, this is more than just an RSI — it’s a complete momentum toolkit that combines clarity, flexibility, and advanced signal detection in one clean package.
Volatility Momentum Score | Lyro RSVolatility Momentum Score | Lyro RS
Overview
The Volatility Momentum Score (VMS) combines price movement and volatility into a single, easy-to-read signal. Using z-scores, standard deviation bands, and flexible display modes, it helps traders identify trends, overbought/oversold conditions, and potential reversals quickly and effectively.
Key Features
Price + Volatility Blend
Tracks price action and volatility with separate z-scores and merges them into a unified momentum score.
Standard Deviation Bands
Upper and lower bands highlight extreme readings.
Adjustable multipliers allow for fine-tuning sensitivity.
Two Signal Modes
Trend Mode: Plots “Long” and “Short” signals when momentum crosses bands.
Reversion Mode: Colors the chart background when the score indicates stretched conditions.
Overbought & Oversold Alerts
▲ markers indicate oversold conditions.
▼ markers indicate overbought conditions.
Custom Colors
Four preset color themes or fully customizable bullish/bearish colors.
Clear Visuals
Dynamic line coloring based on momentum.
Candles recolored at signal points.
Background shading for quick visual assessment.
How It Works
Calculates z-scores for both price and volatility.
Blends the z-scores into a single average score.
Compares the score against dynamic upper and lower bands.
Triggers signals, markers, or background shading depending on the chosen display mode.
Practical Use
Ride trends: Follow Trend Mode signals to align with momentum.
Spot reversals: Watch ▲ and ▼ markers when markets are overextended.
Stay aware: Background shading highlights potentially overheated conditions.
Customization
Set lookback lengths for price, volatility, and bands.
Adjust band multipliers for more or less sensitive signals.
Choose between Trend or Reversion mode based on trading style.
Select color themes or create custom palettes.
⚠️ Disclaimer
This indicator is a technical analysis tool and does not guarantee results. It should be used alongside other methods and proper risk management. The creators are not responsible for any financial decisions based on its signals.
MomentumQ DashMomentumQ Dash – Multi-Timeframe & Watchlist Dashboard
The MomentumQ Dash is a professional dashboard-style indicator designed to help traders quickly evaluate market conditions across multiple timeframes and assets.
Unlike single-signal tools, MomentumQ Dash consolidates market regime, buy/sell conditions, and pre-signal alerts into an easy-to-read table, allowing traders to stay focused on actionable setups without flipping between charts.
All signals displayed in MomentumQ Dash are derived from the MomentumQ Oscillator (MoQ Osci) , our proprietary tool designed to identify momentum shifts and adaptive buy/sell conditions. By integrating these signals into a dashboard format, MomentumQ Dash provides a structured overview of the market that is both comprehensive and easy to interpret.
A unique advantage of this tool is the dual-table system:
A timeframe table that tracks the current symbol across five user-defined timeframes.
A watchlist table that monitors up to five different assets on the same timeframe.
This combination gives traders a complete market overview at a glance, supporting both intraday and higher-timeframe strategies.
Key Features
1. Multi-Timeframe Signal Dashboard
Tracks buy, sell, pre-buy, and pre-sell conditions for up to 5 configurable timeframes.
Highlights market regime (Bull/Bear) with background colors for quick visual recognition.
Displays the last detected signal and how many bars ago it occurred.
2. Watchlist Asset Table
Monitor up to 5 custom symbols (e.g., indices, commodities, crypto pairs) in one view.
Independent timeframe selection for the watchlist table.
Clean symbol display with exchange prefixes automatically removed.
3. Flexible Layout & Theme Integration
Choice of table position (Top Right, Middle Right, Bottom Right) for each table.
Light/Dark mode setting for seamless chart integration.
Compact, minimal design to avoid clutter.
4. MoQ Osci Signal Engine
Signals are powered by the MomentumQ Oscillator (MoQ Osci), which uses adaptive momentum analysis.
Identifies early pre-signals (potential setup zones) as well as confirmed buy/sell events.
Helps traders recognize transitions in market structure without lagging indicators.
How It Works
Timeframe Analysis
The indicator calculates MoQ Osci signals on each timeframe.
When price deviates beyond upper/lower adaptive thresholds, buy/sell signals are generated.
Pre-signals are displayed when price approaches these zones, offering early alerts.
Trend Regime Detection
Regime is derived from MoQ Osci’s momentum distance relative to its adaptive mean.
Bull regime = positive momentum bias; Bear regime = negative momentum bias.
This provides a simple but reliable context for trade direction.
Watchlist Tracking
Signals are calculated identically for each custom symbol selected by the user.
Results are presented in a compact table, making it easy to spot alignment or divergence across markets.
How to Use This Indicator
Use the Timeframe Table to align intraday setups with higher-timeframe context.
Monitor the Watchlist Table to track correlated assets (e.g., SPX, NDX, VIX, Oil, Gold).
Pay attention to pre-buy / pre-sell warnings for early setup confirmation.
Use the “Last” column to quickly check the most recent signal and its timing.
Combine with your existing price action strategy to validate entries and exits.
This indicator works on all TradingView markets: Forex, Stocks, Crypto, Futures, and Commodities.
Why Is This Indicator Valuable?
Provides a complete dashboard view of market conditions in one place.
Combines multi-timeframe confirmation with multi-asset monitoring .
Signals are based on the proven MoQ Osci tool , ensuring consistency across strategies.
Saves time and reduces the need to constantly switch charts.
Fully customizable to match any trading workflow.
Example Trading Approaches
1. Multi-Timeframe Alignment
Wait for a buy signal on the lower timeframe (e.g., 15m) while the higher timeframe (1h/4h) is in Bull regime.
Enter long with higher-timeframe confirmation, improving trade probability.
2. Cross-Market Confirmation
If SPX and NDX both trigger sell signals while VIX shows a buy, this may confirm risk-off sentiment.
Use this confluence to support trade decisions in equities or correlated markets.
3. Pre-Signal Monitoring
Watch for PB (Pre-Buy) or PS (Pre-Sell) warnings before confirmed signals.
These can highlight potential breakout or reversal zones before they occur.
Disclaimer
This indicator is a technical analysis tool and does not guarantee profits.
It should be used as part of a complete trading plan that includes risk management.
Past performance is not indicative of future results.
Bullish_Mayank_entry_Indicator with AlertsThis indiucator gives buy signal alerts using EMAs, RSI & Weighted Moving Average of RSI & also multiframe analysis
Fibo RSIThis is a customized Relative Strength Index (RSI) indicator designed to replicate TradingView’s default RSI while adding additional reference levels for deeper market analysis.
🔹 Features:
RSI length set to 8 by default (user adjustable).
Calculates RSI using the standard ta.rsi() function.
Plots the RSI line in a clean, separate panel.
Adds 7 key levels for analysis: 0, 20, 30, 50, 70, 80, 100.
Levels are drawn as thin, solid straight lines for a cleaner look (instead of default dashed).
🔹 Use cases:
Identify momentum shifts with enhanced precision.
Use intermediate levels (20, 30, 50, 70, 80) as potential support/resistance zones.
Ideal for traders who want a Fibonacci-like structure in RSI analysis.
MACD, RSI & Stoch + Divergences (RU)WARNING: This script is fully localized in Russian and is supported by the Russian-speaking community. All tooltips, settings, and descriptions are provided in Russian for maximum usability by Russian-speaking users.
This script combines MACD, RSI, and Stochastic oscillators with automatic detection and visualization of regular and hidden divergences. It highlights potential reversal and trend continuation points, draws divergence lines and labels, and provides flexible settings for trend analysis and oscillator calculation. The script also includes advanced session timing and daily change visualization for intraday trading.
Данный скрипт объединяет индикаторы MACD, RSI и Стохастик, а также автоматически определяет и визуализирует обычные и скрытые дивергенции. Он выделяет потенциальные точки разворота и продолжения тренда, строит линии и метки дивергенций, а также предоставляет гибкие настройки для анализа тренда и расчёта осцилляторов.
Скрипт дополнительно отображает временные торговые сессии и динамику дневных изменений для удобства внутридневной торговли. Все параметры снабжены подробными русскоязычными подсказками (тултипами), что делает работу с инструментом максимально понятной и удобной для русскоязычных пользователей.
Smart Money Concepts with RSI/MA Signalit gives an alert when price is in bullish ob and rsi crossover SMA
Sentinela - PullbackSentinel - Pullback
Description:
This indicator is designed to act as a "sentinel," patiently waiting to identify high-probability pullback and reversal opportunities within trending markets. Instead of flooding the chart with excessive signals, the Sentinel focuses on key moments of exhaustion, offering cleaner and more objective entry points.
Key Features
Flexible Oscillator Choice: Select the engine for the signals according to your preference:
Stoch RSI: For a faster and more sensitive momentum reading.
Standard Stochastic: For a more classic and smoother analysis.
Confluence Mode: The most rigorous mode, which only considers a signal valid if both oscillators are in an exhaustion zone simultaneously.
Dual Signal Patterns: The indicator looks for two types of candlestick patterns in overbought/oversold zones:
Simple Pullback: A candle that forms a higher low (for longs) or a lower high (for shorts) than the previous candle, signaling a loss of corrective momentum.
Reversal Engulfing: A candle that sweeps the liquidity below/above the previous candle and reverses strongly, closing beyond its opposite end. A powerful ignition signal.
Smart Consecutive Signal Filter: This is the core of the indicator. After a first valid signal, it ignores subsequent signals until the price "renews" the low (in an oversold zone) or the high (in an overbought zone). This re-arms the search for a new, qualified entry and prevents "signal spam" during extended bottoms or tops.
Optional Trend Filter: Utilize two Exponential Moving Averages (EMAs) to filter signals, allowing only trades aligned with the main trend to be displayed on the chart.
Unified Dynamic Alerts: Set up a single alert that will notify you whether the signal is for a Buy or a Sell, compatible with TradingView's "Any alert() function call" option.
How to Use
Long Signal (Green Arrow ▲): Appears below a candle when one of the bullish patterns is identified in an oversold zone (as defined by the chosen oscillator).
Short Signal (Red Arrow ▼): Appears above a candle when one of the bearish patterns is identified in an overbought zone.
Trend Filter: For a higher win rate, enable the EMA filter. Look for long signals only when the price is above the moving averages (uptrend) and short signals only when it is below (downtrend).
Disclaimer: This indicator is a support tool and should be used in conjunction with your own technical analysis and risk management. Always perform backtests to adjust the parameters to your preferred asset and timeframe.
RMA Smoothed RSIRMA Smoothed RSI
Description:
An enhanced RSI built for cleaner intraday and swing reads. It applies RMA smoothing to damp noise.
How It Works
RSI (RMA-Smoothed):
Computes classic RSI from price changes and smooths the result with an additional RMA (user-controlled 3–7, where 5 is the sweet spot). This reduces whipsaw while preserving shifts in momentum.
How to Interpret
50 Midline = Bias Filter: Above 50 favors strength; below 50 favors weakness.
RSI vs RSI-MA Crosses: Cross up can precede thrust or mean-revert toward 50; cross down the opposite.
Inputs
Length: RSI period (default 14).
Source: Price source for RSI (default Close).
Smoothing: RMA smoothing length on RSI (3–7; default 3; 5 sweet spot).
Calculate Divergence: Toggle to compute pivots/divergences and enable alerts.
Moving Average Type: None, SMA, EMA, WMA, VWMA (default EMA).
MA Length: Length of the RSI-based MA (separate from RSI length).
Best For
Traders who want a cleaner RSI read without losing responsiveness.
Scalpers timing momentum shifts around the 50 line and MA crosses.
Swing traders using divergences as early reversal context.
Pro Tips
For fast intraday charts, start with Length 14, Smoothing 3–5, and EMA as the RSI-MA.
Use 50 reclaims/rejections as a simple regime filter.
Combine divergence labels with volume surges, key S/R, or volatility tools (e.g., BBW/TTM squeeze) to time entries.
Divergence alerts fire only if Calculate Divergence is enabled—keep it on if you rely on signals.
Hilega Milega v6 - Pure EMA/SMA (Nitesh Kumar) + Full BacktestHilega to milega
he Hilega Milega Strategy, inspired by the technique of Nitesh Kumar, is designed for intraday and swing traders who want structured entries and exits with clear demand–supply logic.
🔑 Core Features
Demand & Supply Zones – Automatically plots potential strong buying and selling zones for high-probability trades.
Trend Identification – Uses a blend of EMAs/SMA crossovers to identify bullish and bearish market bias.
Buy & Sell Signals – Generates real-time visual signals based on “Hilega Milega” rules for quick decision-making.
Risk Management – Suggested stop-loss levels are derived from recent demand–supply areas to minimize drawdowns.
Backtesting Enabled – Traders can test the performance across multiple assets (stocks, forex, crypto, commodities).
📊 How It Works
Buy Signal → When price action confirms a bullish zone with supporting trend filters.
Sell Signal → When price action confirms a bearish zone or reversal pattern.
Flat/Exit → Position closed when opposite signal triggers or demand–supply imbalance fades.
⚡ Best Use Cases
Intraday trading (5m, 15m, 1H charts).
Swing trading (4H, Daily charts).
Works across stocks, crypto, commodities, and forex.
⚠️ Disclaimer: This strategy is for educational purposes. Backtest thoroughly and apply proper risk management before live trading.
Pulse Lite [BreakoutOrFakeout]Pulse Lite - FREE
What It Does
A simplified momentum indicator that shows you the market's "pulse" through a smooth, easy-to-read line. Perfect for traders who want clean, reliable momentum signals without the complexity.
Key Features
💗 Smooth Pulse Line
Clean momentum reading from 0-100
Dynamic colors show market state instantly
No choppy signals or false noise
📊 3-Zone System
Above 70 = Overbought (red zone)
30-70 = Neutral (clear zone)
Below 30 = Oversold (green zone)
🎯 Simple Signals
Green dots when leaving oversold
Red dots when leaving overbought
Color changes show momentum shifts
📍 Current Reading
Live status: HIGH, NEUTRAL, or LOW
Exact value display
Color-coded label
How to Use
Basic Strategy
Oversold (below 30): Look for green dot, consider longs
Overbought (above 70): Look for red dot, consider shorts
Neutral (30-70): Follow the color for trend direction
Quick Rules
Green pulse = Bullish momentum
Red pulse = Bearish momentum
Blue pulse = Neutral/transitioning
Visual Guide
🔴 Red Zone (70-100) = Overbought, reversal risk
🟢 Green Zone (0-30) = Oversold, bounce likely
🔵 Blue Line (50) = Momentum midpoint
Why Start with Lite?
This free version gives you the core pulse reading system - clean, simple, and effective. Perfect for learning the concept or if you prefer minimalist indicators. No clutter, no complexity, just the essential momentum pulse.
Want More Power?
Upgrade to Pulse Meter PRO for:
5-zone power system for precision entries
Signal line with crossover alerts
Histogram strength visualization
Divergence detection
Multi-timeframe dashboard
Advanced filtering algorithms
Priority support
Best For
Beginners learning momentum trading
Traders who prefer simple, clean indicators
Quick momentum checks
Basic overbought/oversold signals
⚠️ DISCLAIMER: For educational purposes only. Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management.
Trend Flow [BreakoutOrFakeout]Trend Flow
What It Does
A professional trend visualization system that transforms market direction into a flowing, dynamic display. See trends develop, strengthen, and reverse with crystal clarity through intelligent visual layers that adapt to market conditions in real-time.
Why Traders Choose This
Visual Clarity: Multi-dimensional cloud system instantly reveals trend direction, strength, and momentum without cluttering your chart.
Smart Filtering: Built-in intelligence filters out market noise, showing only high-confidence signals worth your attention.
Adaptive Technology: Automatically adjusts to market volatility across all timeframes - from 1-minute scalping to daily swing trading.
Professional Design: Clean, modern aesthetics that make your charts look institutional-grade while remaining intuitive to read.
How to Apply It
Trend Direction: Cloud color shows the dominant trend at a glance - no guesswork required.
Entry Timing: Arrow signals appear only when momentum confirms the trend change, reducing false signals.
Strength Assessment: Visual intensity and special markers reveal when trends are accelerating or weakening.
Risk Management: Cloud width and color transitions help identify optimal stop-loss and take-profit zones.
Visual Language
Bright Colors = Strong, confident trends
Faded Colors = Weak or uncertain conditions
Special Markers = Trend acceleration points
Arrow Signals = High-probability entry opportunities
Best For
✓ Trend followers seeking clear directional bias
✓ Swing traders waiting for confirmed moves
✓ Day traders needing quick visual confirmation
✓ Position traders tracking longer-term flows
✓ Anyone wanting professional-grade chart aesthetics
Key Benefits
No repainting - all signals are final
Works on all markets and timeframes
Minimal settings - works great out of the box
Alert-ready for automated notifications
Combines multiple confirmation layers
The Bottom Line
Stop squinting at messy charts trying to identify trends. Trend Flow makes market direction obvious through elegant visual design that's both beautiful and functional. Your charts will never look the same.
⚠️ DISCLAIMER: For educational purposes only. Trading involves risk. Past performance does not guarantee future results. Always use proper risk management.
Volume Pulse [BreakoutOrFakeout]Volume Pulse
What It Is
A beautifully designed volume indicator that transforms standard volume bars into an intelligent, visually stunning analysis tool. It instantly highlights when "smart money" is moving and helps identify real breakouts from fakeouts.
What Makes It Special
Visual Intelligence: Uses gradient color technology that intensifies based on volume strength - weak volume appears transparent while strong volume pops with vibrant colors. You'll literally SEE the difference between retail and institutional activity.
Spike Detection: Automatically identifies and marks unusual volume surges with golden diamond markers - these often precede major price moves.
Dynamic Adaptation: The moving average line intelligently changes opacity based on current volume conditions, creating a living, breathing indicator that responds to market activity.
Real-Time Stats: Floating information panel shows current volume compared to average with percentage changes - no mental math required.
How to Use It
Color Intensity = Volume Strength
Faded bars = Weak volume (potential fakeout)
Solid bars = Strong volume (potential breakout)
Golden Diamonds = Pay Attention
Mark 2x average volume spikes
Often appear at reversal points or breakout confirmations
Blue Line Relationship
Volume above line = Increasing interest
Volume below line = Declining participation
Background Highlights
Subtle yellow glow on extreme volume days
Makes significant days impossible to miss
Perfect For
Confirming breakout validity
Spotting accumulation/distribution
Identifying climax tops/bottoms
Day trading volume patterns
Swing trading entry confirmation
Why Traders Love It
✓ Makes volume analysis actually enjoyable
✓ Clean design reduces chart clutter
✓ Works on all timeframes
✓ No complex settings to figure out
✓ Professional appearance impresses clients
The Bottom Line: It's "just" a volume indicator - but it makes every other volume indicator look outdated. The gradient effect alone will change how you view volume forever.
⚠️ For educational purposes only. Trading involves risk.
Siege Gold Strategy-1m
Siege Gold Strategy - An Advanced Trading Strategy with a Multi-Confirmation System
This powerful indicator is designed to help you base your trading decisions on solid foundations. Thanks to its advanced algorithms and multi-confirmation mechanism, it helps you understand market trends more clearly.
Key Features
Trend Pivot Points: Instantly identify trend reversals and potential support/resistance levels with intelligent pivot points that react to real-time price movements. This allows you to analyze the trend's strength and direction more accurately.
Relative Strength Index (RSI) Integration: We combine the classic overbought/oversold signals of the RSI with our custom strategies to generate more reliable and filtered signals. This integration minimizes false signals.
"Range" Module: This feature measures the volatility range the price is currently in, showing whether the market is consolidating or moving. This helps reduce the risk of making incorrect trades in sideways markets.
Who Is This For?
Traders who follow trend-following strategies.
Anyone who wants to automatically determine support and resistance levels.
Those looking for a multi-confirmation mechanism instead of relying on a single indicator.
Anyone who wants to generate more reliable trading signals.
This strategy can be used in the XAUUSD pair, as well as in crypto and forex markets. To use this strategy more accurately, we encourage you to watch a few videos. It's important to remember that every instrument and indicator setting yields different results, and we cannot guarantee that you will make a profit.
Signal Generator: HTF EMA Momentum + MACDSignal Generator: HTF EMA Momentum + MACD
What this script does
This indicator combines a higher-timeframe EMA trend filter with a MACD crossover on the chart’s timeframe. The goal is to make MACD signals more selective by checking whether they occur in the same direction as the broader trend.
How it works
- On the higher timeframe, two EMAs are calculated (short and long). Their difference is used as a simple momentum measure.
- On the chart timeframe, the MACD is calculated. Crossovers are then filtered with two conditions:
1.They must align with the higher-timeframe EMA trend.
2.They must occur beyond a small “zero band” threshold, with a minimum distance between MACD and signal lines.
- When both conditions are met, the script can plot BUY or SELL labels. ATR is used only to shift labels up or down for visibility.
Visuals and alerts
- Histogram bars show whether higher-timeframe EMA momentum is rising or falling.
- MACD main and signal lines are plotted with optional scaling.
- Dotted lines show the zero band region.
- Optional large BUY/SELL labels appear when conditions are confirmed on the previous bar.
- Alerts can be enabled for these signals; they trigger once per bar close.
Notes and limitations
- Higher-timeframe values are only confirmed once the higher-timeframe candle has closed.
- Scaling factors affect appearance only, not the logic.
- This is an open-source study intended as a learning and charting tool. It does not provide financial advice or guarantee performance.