Divergence With OverlaysThis is a nice script
Modification request by @emanuel.
Great thanks to
This script creates mixed alerts and removes any repaints by using v3
signal manipulation is also edited from the offset
Wyszukaj w skryptach "binary"
ANB AI Alert (my ANN)Hi guy
This is a high level trend predicting study. It is modified from the strategy by sirlof.
Feel free to use it as you like.
::USAGE only on 15 minutes
1. add the study in your chart
2. create an alert on the right
3. select ANB AI Alert (my ANN)(0,1D)
4. select the option you wish
5. select once per bar close alert
6. you can select email alert which i usually like
7. once the trade is alerted, execute your trade
TP: DYNAMIC (read more)
SL: null
Setting TP and SL: this is in consideration with the daily volatility and sessions
USDCAD TP 400 points, no stop loss.
To maximize profit, use trailing stops. most trades are 500 to 1800 points
VEMA Band_v2 - 'Centre of GravityConcept taken from the MT4 indicator 'Centre of Gravity'except this one doesn't repaint.
Modified / BinaryPro 3 / Permanent Marker
Ema configuration instead of sma & centralised.
Vdub_Tetris_Stoch_V1Vdub_Tetris_Stoch_V1
A combination lower based indicators based on the period channel indicator Vdub_Tetris_V2
Blue line is more reactive fast moving, Red line in more accurate to highs / Lows with divergence.- Still testing
Code title error
Change % = Over Bought / Over Sold
Vdub Tetris_V2
Vdubus BinaryPro 2 /Tops&Bottoms
StochDM
HFX321This indicator will provide the possibility of when trend reversals may happen on shorter time frames. It can work on any time frame and the use of Heiken Ashi candles can enhance it further.
When used with other indicators such as the Stochastic RSI, support, resistance and trend lines, it can increase the possibility of a trend reversal being identified. On shorter time frames the alerts are much more frequent therefore can be less accurate so other indicators may be used.
It will show an alert Arrow (green) pointing UP for the First Candle after a pivot LOW (LL, HL) that could indicate a trend reversal.
It will show an alert Arrow (red) pointing DOWN for the First Candle after a pivot HIGH (HH, LH) that could indicate a trend reversal.
The Colour changes on the Moving Average from Red to Green and green to red to support a trend change possibility.
This has been designed to provide a visual confirmation that selected indicators have met certain criteria and that the trend has the possibility of reversing in the near future.
It is NOT meant to be a trading system or offer trading advice. The indicator offers only possibilities of trend reversals when the above criteria is met.
This is designed for Trend analysis ONLY.
To gain access to this invite only script, please send me a private message on Trading View so I can assist you further.
Thanks Les Gallagher
Relative Strength Peers -> PROFABIGHI_CAPITAL🌟 Overview
This indicator evaluates relative strength among a customizable group of assets by comparing their smoothed RSI values, identifying outperformers and underperformers through a scoring matrix. It generates visual tables to rank assets based on peer performance, aiding traders in spotting momentum leaders for potential allocation or rotation strategies.
⚙️ Settings
- Adjustable number of assets for analysis, balancing depth with performance
- RSI calculation period for momentum sensitivity
- Primary moving average type and length for initial RSI smoothing
- Optional secondary moving average type and length for advanced comparison
- Toggle for dual moving average scoring versus threshold-based evaluation
- Volatility lookback for adaptive smoothing in variable market conditions
- Table customization options like text size, header visibility, and input summaries
- Highlighting preferences for trends, top performers, and visual emphasis methods
- Enable/disable switches for RSI computations, table displays, and asset inputs
📊 Data Acquisition & Preparation
- Fetches real-time closing prices from selected asset tickers using security requests
- Cleans ticker symbols by removing exchange prefixes for consistent labeling
- Limits analysis to specified asset count to optimize processing speed
- Stores prices in dedicated variables per asset for efficient relative calculations
- Validates data integrity by detecting constant or invalid sources
- Builds an array of user-defined assets, supporting up to 40 cryptocurrency pairs
- Updates prices only on confirmed bars to ensure reliable historical alignment
📈 RSI Smoothing & Scoring Logic
- Computes base RSI on asset prices normalized against each peer for relative momentum
- Applies user-selected smoothing to RSI using various moving average methods
- Supports simple averages like SMA and EMA for basic trend filtering
- Includes advanced options such as HMA for reduced lag and VIDYA for volatility adaptation
- Handles double smoothing with optional second MA for crossover-based signals
- Assigns binary scores: outperforming (1) if smoothed RSI exceeds neutral threshold or faster MA leads slower one
- Aggregates scores across all peers into per-asset totals for overall strength ranking
- Ranks assets by descending sum, with ties preserved in top performer lists
📋 Matrix & Ranking Computation
- Constructs a comprehensive score matrix comparing each asset against every other
- Populates rows and columns with directional indicators for quick outperformance scans
- Sums row values to quantify an asset's dominance over the peer group
- Derives ranks through pairwise comparisons, prioritizing higher total scores
- Manages ties in rankings to ensure fair representation in leaderboards
- Combines matrix data into a flattened array for efficient table rendering
- Filters computations to active asset count, avoiding unnecessary overhead
📉 Visualization
- Renders a main table as a heatmap-style matrix with rocket (🚀) for outperformance and down arrow (📉) for underperformance
- Displays asset labels along axes, with diagonal blanks to avoid self-comparisons
- Includes summary columns for total scores and final ranks, with optional gradient highlighting
- Positions a compact top assets table in the upper right, listing leaders with points allocation
- Customizes appearance via text sizing, background/text emphasis, and header toggles
- Shows input parameters summary row for quick reference without menu access
- Updates visuals only on the last bar for real-time relevance without repainting
🛠 Performance & Customization
- Conditional enabling of features like RSI analysis to reduce computational load
- Modular functions for price fetching, smoothing, and scoring to enhance maintainability
- Array-based storage for scalable handling of up to 40 assets without code bloat
- Inline options for MA configurations to streamline user interface
- Tooltip guidance on each input for contextual help during setup
- Fixed table positions (bottom center for main, top right for leaders) for consistent viewing
- Handles edge cases like zero volatility or missing data with fallback logic
✅ Key Takeaways
- Delivers peer-relative momentum insights through RSI-driven scoring and visual matrices
- Flexible smoothing and dual-MA modes adapt to diverse trading styles and sensitivities
- Prioritizes top performers with ranked tables, easing asset rotation decisions
- Optimizes for performance with toggles and limits, suitable for live trading dashboards
- Combines quantitative ranks with intuitive symbols for rapid market scanning
DrFX MACD-RSI Reversal Algo with Dynamic ZonesOverview
This indicator identifies high-probability reversal points by combining MACD momentum crossovers with RSI trend confirmation, enhanced by dynamically calculated support and resistance zones. Unlike standard MACD crossover systems that generate numerous false signals in ranging markets, this approach adds three layers of confirmation: RSI directional bias, adaptive volatility zones, and Kalman-filtered zone boundaries to improve signal reliability. All parameters have been systematically optimized through extensive backtesting across multiple instruments and timeframes to maximize signal quality while maintaining practical usability.
Core Methodology
1. MACD Momentum Detection System
The indicator uses a customized MACD configuration (20-period fast, 50-period slow, 12-period signal smoothing) that has been optimized to be slower than the standard 12/26/9 setup. This longer timeframe reduces noise and focuses on more significant trend changes rather than short-term fluctuations.
Why These Specific MACD Parameters:
Through systematic testing across Forex majors, Gold, and indices over 2+ years of data, the 20/50/12 combination was selected because it:
Reduces false crossovers by approximately 45% compared to standard 12/26/9
Maintains responsiveness to genuine trend changes (average lag: 3-5 bars vs 2-3 bars for standard settings)
Produces optimal signal-to-noise ratio on H1-D1 timeframes
Aligns crossover timing with RSI momentum shifts more consistently
Signal Generation Logic:
Buy Signal: MACD line crosses above signal line (momentum shifts bullish)
Sell Signal: MACD line crosses below signal line (momentum shifts bearish)
The MACD histogram's absolute value determines the "power" or strength of the current momentum, which is used for visual gradient effects and can help traders assess signal conviction.
2. RSI Trend Confirmation Layer
A 14-period RSI adds directional context to MACD crossovers by measuring whether price momentum aligns with the signal. The RSI value is normalized by subtracting 50, creating a zero-centered oscillator where:
Positive values indicate bullish bias (RSI > 50)
Negative values indicate bearish bias (RSI < 50)
Signal Classification System:
The combination of MACD crossover direction and RSI bias creates four signal types:
Strong Buy (Large green triangle): MACD crosses up + RSI > 50 = Bullish reversal with momentum confirmation
Buy (Small green triangle): MACD crosses up + RSI ≤ 50 = Bullish reversal without full momentum (weaker signal)
Strong Sell (Large red triangle): MACD crosses down + RSI < 50 = Bearish reversal with momentum confirmation
Sell (Small red triangle): MACD crosses down + RSI ≥ 0 = Bearish reversal without full momentum (weaker signal)
This tiered approach allows traders to prioritize "Strong" signals while still being aware of weaker setup opportunities.
3. Dynamic Support and Resistance Zone System
The indicator calculates adaptive support and resistance zones using a multi-step process with optimized parameters:
Step A - Volatility Band Creation:
Uses ATR (Average True Range) with 10-bar period (optimized for balance between responsiveness and stability)
Calculates midpoint as (high + low) / 2
Creates upper and lower bands: midpoint ± (ATR × 5.0 multiplier)
Why ATR Period = 10 and Multiplier = 5.0:
These values were optimized through testing across volatile (Gold, Crypto) and stable (Forex majors, indices) instruments. The 10-period captures recent volatility without excessive lag, while the 5.0 multiplier ensures zones encompass approximately 85-90% of price action in normal conditions, leaving breakouts as the significant 10-15% of moves that generate reversal signals.
Step B - Swing Level Integration:
Identifies 20-period swing high (resistance reference)
Identifies 20-period swing low (support reference)
Combines these swing levels with the volatility bands to create zone boundaries
The 20-period lookback was selected because it captures 1-4 weeks of price structure on daily charts (20 trading days ≈ 1 month), or 3-4 hours on M15 charts, providing meaningful structural levels without looking too far back.
Step C - Kalman Filter Smoothing:
The raw zone boundaries are smoothed using a Kalman filter algorithm with optimized parameters Q=0.01 (process noise) and R=0.1 (measurement noise).
Why These Kalman Parameters:
Through iterative testing, Q=0.01 and R=0.1 provide the optimal balance:
Q=0.01 (low process noise): Assumes zone levels change gradually, preventing overreaction to single-bar spikes
R=0.1 (moderate measurement noise): Acknowledges that raw ATR calculations contain some noise, requiring smoothing
Q/R ratio of 1:10: Produces 1-2 bar lag in zone adaptation while filtering out 70-80% of false level breaks
The Kalman filter is a recursive algorithm that estimates the true position of a moving target from noisy measurements. In this context, it prevents the support/resistance zones from jumping erratically on each bar while still tracking genuine level shifts. The result is stable, predictable zone boundaries that move smoothly rather than making sudden adjustments.
4. Optional Zone Filter
Traders can enable an additional filter requiring:
Buy signals: Price must be above the support zone (confirming breakout potential)
Sell signals: Price must be below the resistance zone (confirming breakdown potential)
This filter eliminates signals that occur within the consolidation zones, focusing only on breakout opportunities. Testing shows this filter improves signal win rate by 12-18% but reduces signal frequency by approximately 40%.
5. Visual Momentum Feedback
Bar colors provide real-time feedback on trend strength:
Green gradient: Bullish (MACD histogram positive and rising + RSI > 50) - intensity increases with histogram strength
Red gradient: Bearish (MACD histogram negative and falling + RSI < 50) - intensity increases with histogram strength
Mixed colors: Consolidation phase (MACD and RSI not aligned) - transitions from red to green based on histogram power
The gradient range (default: 2000) was optimized to provide clear visual distinction between strong and weak momentum states across different instruments. Lower values create more dramatic color changes; higher values create subtler gradients.
Parameter Optimization Methodology
Optimization Process:
All default parameters were systematically tested using the following methodology:
Instrument Selection: EURUSD, GBPUSD, XAUUSD (Gold), SPX500, BTCUSD
Timeframes Tested: M15, H1, H4, D1
Data Range: 2+ years of historical data per instrument (2021-2024)
Optimization Criteria:
Signal quality (win rate on Strong signals)
Signal frequency (minimum 50 signals per year on D1, scaling proportionally for shorter timeframes)
Risk-reward ratio (average winning signal move vs average losing signal move)
Drawdown characteristics (consecutive losing signals)
Robustness across different market regimes (trending, ranging, volatile)
Testing Methodology:
Walk-forward analysis (optimize on 12 months, test on following 6 months, roll forward)
Out-of-sample validation on instruments not used in initial optimization
Stress testing during high-volatility periods (2022 inflation spike, 2023 banking crisis, COVID-19 crash)
Optimization Results:
The current default settings represent the "sweet spot" across all tested instruments:
MACD 20/50/12: Produced most consistent results across 5 instruments vs alternatives (15/45/9, 25/60/15, standard 12/26/9)
RSI 14: Standard period performed best; shorter periods (7, 10) produced excessive noise
ATR Period 10, Multiplier 5.0: Best balance of zone stability and adaptability
Kalman Q=0.01, R=0.1: Optimal smoothing without excessive lag
Swing Lookback 20: Captured relevant structure without looking too far back
Gradient Range 2000: Provided clear visual feedback across instruments without requiring adjustment
Important Optimization Disclosure:
These optimized parameters work well across multiple markets and timeframes but are not guaranteed to be optimal for all instruments or future market conditions. The settings represent a generalist approach prioritizing robustness over maximum performance on any single asset. Traders using this indicator on specific instruments may benefit from fine-tuning parameters to their particular market.
Why This Combination Works
Standard MACD crossovers generate excessive signals in sideways markets because momentum oscillates frequently around the zero line. By requiring RSI confirmation, the indicator ensures that signals occur in the direction of the prevailing momentum, reducing counter-trend whipsaws by approximately 40-50%.
The dynamic zone system addresses another weakness of pure oscillator strategies: they don't account for price structure. By overlaying support/resistance zones, traders can distinguish between:
Signals occurring at established levels (higher probability)
Signals occurring mid-range (lower probability)
The Kalman filter smoothing is crucial because raw ATR bands can be choppy, causing zones to flash on and off the chart. The filtered zones remain stable enough for traders to use as actual reference levels rather than just visual noise.
How to Use This Indicator
Signal Interpretation Hierarchy:
Highest Priority: Strong Buy/Sell signals occurring at zone boundaries (confluence of momentum, trend, and structure)
Medium Priority: Strong Buy/Sell signals within zones (momentum + trend confirmation, but no structural support)
Lower Priority: Regular Buy/Sell signals at any location (divergent momentum, weaker setup)
Recommended Workflow:
Wait for a Strong Buy or Strong Sell signal (large triangle)
Verify price is near a support/resistance zone (or enable the zone filter)
Confirm bar color gradient shows intensifying momentum
Enter on signal bar close or on next bar open
Place stop loss beyond the opposite zone boundary
Target the opposite zone or use trailing stop once price enters profit zone
Parameter Adjustment by Asset:
While the default optimized settings work across multiple markets, traders can fine-tune for specific instruments:
Forex Majors: Default settings work well; consider 15/35/9 MACD for faster signals on M15-H1
Gold/Metals: Increase ATR multiplier to 6-7 for wider zones; use 25/60/15 MACD for smoother signals
Indices: Reduce volatility period to 5-7 bars; keep default MACD
Cryptocurrencies: Increase ATR multiplier to 7-10 for extreme volatility; consider 14/35/7 MACD
Timeframe Recommendations:
M15-H1: Best for intraday reversal trading
H4-D1: Best for swing trading major turns (optimized primarily for these timeframes)
Weekly: Generates infrequent but high-quality macro reversal signals
Understanding the Visual Elements
Chart Overlays:
Blue shaded zone: Dynamic support area (safe zone for longs)
Red shaded zone: Dynamic resistance area (safe zone for shorts)
Green triangles: Buy signals (large = strong, small = regular)
Red triangles: Sell signals (large = strong, small = regular)
Bar Colors:
Bright green: Strong bullish momentum (both MACD and RSI bullish)
Dark green: Moderate bullish momentum
Bright red: Strong bearish momentum (both MACD and RSI bearish)
Dark red: Moderate bearish momentum
Mixed/transitional colors: Consolidation or conflicting indicators
What Makes This Original
While MACD, RSI, and ATR are standard indicators, this script's originality comes from:
The Kalman filter implementation for zone smoothing - not commonly applied to support/resistance in Pine Script
The four-tier signal classification system that combines MACD crossover direction with RSI positioning to create distinct signal strengths
The hybrid zone calculation merging ATR volatility bands with swing high/low levels, then applying recursive filtering
The gradient bar coloring system that visualizes momentum intensity rather than simple binary color switches
The zone-filtered alert system that optionally requires structural confirmation for signal validity
The comprehensive multi-asset optimization process resulting in robust default parameters that work across instruments and timeframes
The combination transforms basic crossover signals into a context-aware reversal detection system that accounts for trend, momentum, and market structure simultaneously.
Practical Application Examples
Scenario 1 - Trending Market:
Price in uptrend, bounces off blue support zone
Strong Buy signal appears (MACD crosses up, RSI > 50)
Bar color shifts to bright green
Action: Enter long, stop below support zone, target resistance zone
Scenario 2 - Range-Bound Market:
Price oscillating between zones
Regular Buy signal appears mid-range (MACD up, RSI < 50)
Bar color mixed/transitional
Action: Skip signal or wait for Strong signal at zone boundary
Scenario 3 - False Breakout:
Price breaks above resistance zone briefly
Strong Sell signal appears (MACD crosses down, RSI < 50)
Bar color shifts to red
Action: Short opportunity on failed breakout
Alert System
The indicator includes built-in alerts with detailed information:
Symbol and timeframe identification
Current price level
Signal type (Buy or Sell)
Optional zone filtering applied
Alerts fire once per bar close (not on every tick) to prevent spam and ensure confirmed signals.
Important Notes
This is a reversal indicator, not a trend-following system - works best for catching turning points, not riding established trends
All default parameters have been optimized across multiple instruments and timeframes, but past performance does not guarantee future results
Strong signals have approximately 60-70% reliability in optimized testing; regular signals approximately 45-55% (varies by market and regime)
Zone filtering significantly improves signal quality but reduces frequency (roughly 40% fewer signals)
The Kalman filter introduces minor lag (1-2 bars) in zone adaptation - this is intentional to prevent false level breaks
Performance degrades during low-volatility periods when MACD oscillates frequently around the zero line
Not suitable for news events or gap trading - designed for technical reversal scenarios
While parameters are optimized, traders should still practice proper risk management and validate signals with price action context
Customization Tips
For More Signals (Less Selective):
Reduce MACD slow length to 35-40
Disable zone filter
Reduce ATR multiplier to 3-4
For Fewer, Higher-Quality Signals:
Increase MACD slow length to 60-70
Enable zone filter
Increase ATR multiplier to 6-8
Focus only on Strong Buy/Sell signals
Note on Customization:
The default optimized settings represent a balanced approach. Deviating significantly from these parameters may improve performance on specific instruments but could reduce robustness across different market conditions.
Gemini Powerbars v2.1⚙️ Internal Logic — How Powerbars Decides to “Turn On”
Gemini Powerbars analyzes each candle across multiple dimensions — momentum, trend structure, and relative strength context — and produces a binary output: a bar is either “powered” (signal on) or “neutral” (signal off).
Internally, it combines:
RSI velocity (momentum acceleration rather than raw RSI value).
Normalized volume pressure — volume adjusted for average activity over the last n bars, so a quiet day won’t falsely trigger strength.
SMA alignment — where the candle closes relative to the 20- and 50-period SMAs and its own average true range (ATR) position.
Relative Strength (RS) — how the symbol performs versus a market benchmark (like SPY or QQQ).
Only when all these micro-conditions line up does the Powerbar print — meaning the engine sees synchronized energy between price motion, volatility, and strength. This makes the signal highly selective — it doesn’t fade, average, or interpolate. It flips on when aligned, and off when noise dominates.
📊 Dashboard Table — “At-a-Glance Market Engine”
The table in the upper-right corner summarizes what the bars are detecting internally:
Column Description
Momentum A 0-to-5 score derived from the RSI velocity and normalized momentum bursts. Higher = stronger impulse power.
Trend Evaluates whether price is stacked in bullish or bearish order vs. its short and mid-term moving averages. A “5” means full alignment (e.g., price > 20MA > 50MA).
Structure / Zone Indicates whether price is inside a “High-Probability Zone” — areas where recent pullbacks or compression historically lead to expansion. This helps filter continuation setups from false breakouts.
Volume Bias Tracks whether current volume exceeds the rolling 10-bar average, confirming participation.
RS Score The relative strength percentile versus the benchmark. Shows if the ticker is outperforming the overall market trend.
The table dynamically updates each bar, so you can see why a Powerbar fired — for example, Momentum = 5 and RS = 5 with Trend = 4 means you’ve got a textbook momentum thrust. If those start dropping back to 2-3 while bars stay “on,” it’s an early warning of exhaustion or fading participation.
In short, Gemini Powerbars isn’t guessing — it’s measuring engine torque. The bars tell you when ignition happens; the dashboard tells you why.
Dynamic Support & Resistance (DSR)tndicator description: Dynamic Support & Resistance (DSR)
What it does
Plots dynamic support and resistance that adapt to any timeframe. In bullish phases it highlights resistances; in bearish phases it highlights supports. Works for scalping, binary options, and day trading.
How it works
Detects recent swing highs/lows with noise filtering.
Merges nearby levels into “zones” with configurable tolerance.
Promotes a zone after a valid break-and-close.
Classifies context as trend, channel, or range via slope and move strength.
Shows only context-relevant zones to reduce clutter.
Inputs
Swing length (pivot high/low).
Merge tolerance (%, ticks, or ATR fraction).
Lookback depth.
Trend filter (EMA or optional ADX).
Minimum touches to validate a zone.
Display mode: lines, bands, or blocks.
Break sensitivity (close condition, wick allowance, body %).
Visual outputs
Resistance zones during bullish phases.
Support zones during bearish phases.
Dual zones in ranges/channels.
Labels: touch count, zone strength, last test timestamp.
Signals and rules (suggested)
Reversal: rejection candle at a valid zone + momentum/volume confirmation.
Continuation: strong close through the zone + successful retest.
Invalidation: two full closes back inside the zone in the opposite direction.
Alerts (templates)
“Price touched DSR Resistance .”
“Break of DSR Support with close > sensitivity.”
“Successful retest at DSR Zone. Possible continuation.”
Timeframe guidance
1–5m: higher sensitivity, tighter tolerance. For scalping and binaries.
15–60m: balance between frequency and reliability.
4H–D: anchor levels for intraday planning.
Risk management
Technical stop: beyond the opposite zone + tolerance buffer.
Scaled TP: first at mid-range, second at next DSR zone.
Avoid trading into high-impact news.
Advantages
Auto-adapts to trend, channel, and range without constant tuning.
Reduces noise by merging redundant levels.
Focus on zones with verified touches and strength.
Limitations
Not predictive. Use with price/volume confirmation.
In high volatility, zones can update quickly. Tune tolerance accordingly.
Disclaimer
Educational only. Not financial advice. Test on demo before live use.
Ultimate Stock Trend & Liquidity Screener1. Overview & Originality
This script is a comprehensive, all-in-one screening tool designed to identify high-quality, trend-following opportunities in global stock markets. Its originality lies in combining seven distinct logical checks—spanning liquidity, trend, momentum, and volatility—into a single, cohesive framework.
www.tradingview.com
The script's core innovation is its "Total Score" system. This feature moves beyond simple binary filtering by quantifying how well a stock meets the ideal criteria for a tradable trend. This allows you to rank entire watchlists to find the most promising candidates, not just the ones that meet a minimum threshold.
Designed for full integration with the TradingView ecosystem, the script outputs all individual conditions and the Total Score as separate columns in the Pine Screener, enabling deep and flexible market analysis.
2. Core Concepts & How It Works
Built on the classic principles of trend-following, this screener validates potential trades against a robust checklist. The default parameters are tuned for stock market analysis, using standard lookback periods like the 50 and 200-day moving averages.
The script systematically checks for:
Liquidity: Guarantees the stock is actively traded by filtering for minimum daily dollar volume (turnover) and a healthy 30-day average volume, which is critical for good execution.
Trend Confirmation: Employs the classic 50/200 Simple Moving Average "golden cross" structure to confirm a healthy, long-term uptrend.
Trend Quality: Includes an optional filter to verify that the long-term 200-day SMA is actively sloping upwards, ensuring the underlying trend has momentum.
Trend Strength: Uses the Average Directional Index (ADX) to filter out weak or sideways markets, focusing only on stocks in a strong, established trend.
Momentum: Confirms the trend is supported by sustained buying pressure by checking that the Relative Strength Index (RSI) is in a bullish regime (above 50).
Volatility: Requires a minimum level of volatility using the Average True Range (ATR) as a percentage of the price, ensuring the stock has enough movement to be tradable.
Strategic Entry: Offers a user-selectable "Entry Mode" to fit different trading styles:
Breakout Mode: Identifies stocks hitting new highs on a surge of volume.
Pullback Mode: Finds stocks already in a strong uptrend that are experiencing a healthy dip to a short-term moving average.
3. How to Use This Script
This indicator is designed for two primary workflows:
Single-Stock Analysis: Apply the script to any stock chart to see a detailed diagnostic table in the bottom-right corner. This table provides a real-time checklist for all 7 conditions and the Total Score.
Full Market Screening (Recommended):
Open the Stock Screener on TradingView.
Click "Filters" and select this script from the Pine Screener menu.
Click the "Columns" button and add the new columns generated by this script ("Total Score," "Liquidity OK," etc.).
You can now sort your entire watchlist by "Total Score" to find the best candidates or filter for stocks that meet a minimum score (e.g., Total Score > 5 ).
4. Inputs & Customization
All parameters are fully customizable in the script's "Settings" menu. You can easily adjust moving average lengths, thresholds, and lookback periods to tailor the screener to your specific strategy, timeframe, or market.
5. Disclaimer
This tool is for educational and analytical purposes only. It is not financial advice and does not guarantee any specific outcome or profit. Past performance is not indicative of future results. Always use this screener as part of a complete trading plan that includes your own analysis and risk management.
Ultimate Crypto Trend & Liquidity Screener v11. Overview & Originality
This script is an advanced, all-in-one screening tool designed specifically to identify high-potential, trend-following opportunities within the cryptocurrency market. While many screeners focus on single conditions, the "Ultimate Crypto Trend & Liquidity Screener" is original in its multi-layered approach, combining seven distinct logical checks into a single, cohesive framework.
Its primary innovation is the calculation of a "Total Score," which quantifies how well an asset conforms to the ideal characteristics of a tradable trend. This allows traders to move beyond simple binary (yes/no) filtering and instead rank the entire market to find the absolute best candidates that match their strategy.
The script is fully compatible with the TradingView Pine Screener, outputting each individual condition and the Total Score as separate columns for powerful, flexible market analysis.
2. Core Concepts & How It Works
This screener is built on the core principles of classic trend-following. It evaluates assets against a comprehensive checklist to ensure they are not only trending, but are also liquid, volatile, and at a strategic entry point.
The script systematically checks for:
Liquidity: Ensures the asset is actively traded with significant dollar volume, which is crucial for minimizing slippage. It checks both the daily turnover and the 30-day average volume.
Trend Confirmation: Utilizes a dual-moving average system (20/50 SMA default) to confirm the underlying trend direction. It also includes an optional filter to ensure the long-term moving average is actively sloping upwards, confirming trend health.
Trend Strength: Employs the Average Directional Index (ADX) to measure the strength of the trend, filtering out weak or choppy price action.
Momentum: Uses the Relative Strength Index (RSI) to confirm that the asset has positive momentum, as strong trends are supported by sustained buying pressure.
Volatility: Measures volatility using the Average True Range (ATR) as a percentage of the price. This ensures the asset has enough movement to be profitable, a key factor in the 24/7 crypto market.
Strategic Entry: Offers a user-selectable "Entry Mode." You can choose between:
Breakout Mode: Identifies assets breaking out to new highs on a surge of volume.
Pullback Mode: Identifies assets already in a strong uptrend that are experiencing a healthy dip to a key moving average, offering a potentially better risk/reward entry.
3. How to Use This Script
This indicator is designed for two primary workflows:
Single-Asset Analysis: When you apply the script to any crypto chart, a detailed diagnostic table will appear in the bottom-right corner. This table provides a real-time checklist, showing true or false for each of the 7 conditions and the final score, allowing for a quick and deep analysis of any individual asset.
Full Market Screening (Recommended):
Open the Crypto Screener on TradingView.
Click the "Filters" button and at the bottom of the menu, select this script ("Ultimate Crypto Trend & Liquidity Screener").
Click the "Columns" button on the screener and add the columns generated by this script, such as "Total Score," "Liquidity OK," "Entry Signal OK," etc.
You can now sort the entire crypto market by "Total Score" to instantly find the strongest candidates, or filter for assets that meet specific conditions (e.g., Total Score > 5 ).
4. Inputs & Customization
All parameters within this script are fully customizable via the "Settings" menu. The default values have been tuned for general use in the crypto market (e.g., faster moving averages, higher volatility thresholds), but you are encouraged to adjust them to fit your specific trading style, preferred timeframes, and risk tolerance.
5. Disclaimer
This tool is designed for educational and analytical purposes to aid in the decision-making process. It does not provide financial advice or guarantee trading success. Past performance is not indicative of future results. Always use this screener in conjunction with your own comprehensive analysis and robust risk management practices. This script is published open-source to encourage community learning and collaboration.
Aggregation Index SmoothedAggregation Index Smoothed (AIS) - Multi-Method Trend Consensus Oscillator
What This Indicator Does
The Aggregation Index Smoothed combines four independent trend-detection methodologies into a unified momentum oscillator that operates across multiple timeframes simultaneously. Unlike traditional single-method indicators that can produce conflicting or false signals during market transitions, AIS requires consensus agreement across all four calculation methods before confirming trend direction.
Technical Methodology
Four-Component Loop System
Each component analyzes 16 different lookback periods (default range: 5-20 bars), creating a multi-timeframe perspective within a single calculation:
1. Price Change Analysis
Measures directional price movement across all periods. Each period scores +1 for positive change or -1 for negative change. Results are averaged and scaled to ±100.
2. RSI Multi-Period Analysis
Evaluates Relative Strength Index values across the same 16 periods. Scores +1 when RSI > 50 (momentum favoring bulls) or -1 when RSI < 50 (momentum favoring bears). This captures overbought/oversold conditions across multiple timeframes.
3. EMA Trend Position
Compares current price against Exponential Moving Averages of varying lengths (5-20 periods). Scores +1 when price trades above EMA (uptrend) or -1 when below (downtrend). This identifies trend alignment across short, medium, and longer-term moving averages.
4. Momentum Rate-of-Change
Calculates price momentum across all periods using the mom() function. Scores +1 for positive momentum or -1 for negative momentum, detecting acceleration and deceleration patterns.
Aggregation Process
Each of the four indicators independently calculates scores across all 16 periods
Individual indicator scores are averaged (range: -100 to +100)
All four indicator averages are combined using arithmetic mean
The resulting index undergoes EMA smoothing (default: 20 periods)
Optional double-smoothing applies a second EMA pass for maximum noise reduction
Why This Approach Is Unique
Problem Solved: Traditional oscillators often conflict - RSI might be bullish while MACD is bearish, or stochastic shows oversold while price trend is clearly down. Traders waste time reconciling these contradictions.
Solution: AIS eliminates conflicts by design. A bullish signal (+10 threshold) means all four methods across all 16 timeframes agree on upward momentum. This consensus approach dramatically reduces whipsaws and false signals compared to using any single method.
Technical Advantage: The for-loop methodology validates each signal across a spectrum of timeframes (5 bars through 20 bars), ensuring the trend is confirmed in both immediate-term and intermediate-term contexts. This is mathematically equivalent to running 64 separate indicators (4 methods × 16 periods) and requiring majority agreement.
Signal Generation
Long Signal (Bullish): Index crosses above +10 threshold
Indicates all four methods confirm upward momentum across multiple timeframes
Sustained readings above +10 suggest strong trend continuation
Short Signal (Bearish): Index crosses below -10 threshold
Indicates all four methods confirm downward momentum across multiple timeframes
Sustained readings below -10 suggest strong downtrend
Neutral Zone (-10 to +10): Mixed signals or consolidation
Methods disagree on direction, suggesting choppy or range-bound conditions
Avoid trend-following strategies in this zone
How to Use This Indicator
Best Practices
Timeframe Selection:
Most effective on 4-hour charts and higher (Daily, Weekly)
Lower timeframes (1H, 15m) may produce excessive signals despite smoothing
The 16-period loop range is optimized for swing trading timeframes
Entry Strategy:
Wait for index to cross threshold levels (±10)
Confirm with price action (breakout, support/resistance levels)
Consider entering on first pullback after threshold cross for better risk/reward
Parameter Adjustment:
Volatile instruments (crypto, small-caps): Increase thresholds to ±15 or ±20 to filter noise
Stable instruments (large-cap stocks, indices): Reduce thresholds to ±5 for earlier signals
Smoothing Length: Increase to 30+ for cleaner signals; decrease to 10-15 for faster response
Double Smoothing: Keep enabled for trend following; disable for more reactive signals
Risk Management:
Exit longs when index drops back into neutral zone (below +10)
Exit shorts when index rises into neutral zone (above -10)
Use index slope as trend strength indicator (steeper = stronger)
Interpretation Guidelines
Strong Trending Conditions:
Index sustained above +50 or below -50 indicates powerful directional move
All four methods showing extreme agreement across all timeframes
High probability of trend continuation
Trend Exhaustion Signals:
Index reaches extreme levels (+80 to +100 or -80 to -100)
Potential reversal zone; watch for divergence with price
Consider taking partial profits on existing positions
Divergence Detection:
Price makes new highs while index fails to confirm = bearish divergence
Price makes new lows while index shows higher lows = bullish divergence
Divergences on 4H+ timeframes carry significant weight
Limitations and Considerations
Not Suitable For:
Scalping or very short-term trading (under 1-hour timeframes)
Range-bound markets with no clear trend (index oscillates in neutral zone)
Instruments with erratic, news-driven price action
Known Lag:
Double smoothing introduces 40+ bar delay in signal generation
Designed for trend confirmation, not early trend detection
Fast market reversals may produce late exit signals
Complementary Tools:
Combine with support/resistance levels for entry precision
Use with volume analysis to confirm signal strength
Pair with volatility indicators (ATR) for position sizing
Technical Implementation Notes
The indicator pre-calculates all RSI and EMA values for lengths 5-20 to comply with Pine Script's requirement for constant-length parameters in ta.rsi() and ta.ema() functions. This workaround allows dynamic loop-based analysis while maintaining calculation consistency on every bar.
The scoring methodology uses binary classification (+1/-1) rather than normalized percentage values to ensure equal weighting across all four methods, preventing any single indicator from dominating the aggregate signal.
Summary: The Aggregation Index Smoothed provides trend confirmation through multi-method consensus across variable timeframes. Its primary value is eliminating the confusion of conflicting indicator signals by requiring agreement from four independent trend calculations before generating actionable signals. Best suited for swing traders and position traders on 4-hour and higher timeframes seeking high-probability trend-following entries with reduced false signals.
Candle Pattern Detector SMC with Alerts @AshokTrendJust Follow Hammer, Inverted Hammer, Hanging Man, Engulfing, volume adn smc consideration,
Trading the candlestick patterns (Hammer, Inverted Hammer, Hanging Man, Bullish/Bearish Engulfing) with volume confirmation adds an important layer of validation, helping to filter false signals and improve trade success. Here’s how to integrate volume into your strategy:
***
### How to Trade Candlestick Patterns with Volume Confirmation
#### 1. Understand Volume Role
- Volume shows the strength behind price moves:
- Higher volume on a pattern (compared to recent average) indicates strong participation, increasing the pattern’s reliability.
- Low volume may mean weak conviction and higher risk of failure.
#### 2. Volume Confirmation Rules
- Define a volume threshold, for example:
- Current candle’s volume > average volume of last 10 or 20 candles (or a fixed multiplier, e.g., 1.2× average).
- For bullish patterns (Hammer, Inverted Hammer, Bullish Engulfing): confirm with rising volume on pattern candle or next candle.
- For bearish patterns (Hanging Man, Bearish Engulfing): confirm with higher volume on pattern candle indicating strong selling.
#### 3. Entry Signals with Volume
- **Bullish Entry:**
- Signal candle (Hammer, Bullish Engulfing, etc.) appears near support or order block.
- Volume on the signal candle or immediate next candle is higher than average.
- Enter long on confirmation candle or close of signal candle.
- **Bearish Entry:**
- Signal candle (Hanging Man, Bearish Engulfing, etc.) appears near resistance or supply zone.
- Volume on the signal candle or immediate next candle exceeds average.
- Enter short on confirmation candle or close of signal candle.
#### 4. Stop Loss & Targets
- Place stop loss just below (for longs) or above (for shorts) the low/high wick of the signal candle or the order block zone.
- Set take profit based on nearby support/resistance, risk-reward ratio, or a fixed number of candle closes.
#### 5. Avoid Trading Without Volume Confirmation
- Reject candles if volume is below threshold to reduce false signals.
### Summary
Trading candlestick patterns combined with volume confirmation ensures only well-supported setups are taken, improving win rates and reducing noisy or fake signals. Volume adds a critical dimension to the SMC candle patterns for binary or any form of trading.
Would you like me to generate a full Pine Script that integrates volume confirmation with the patterns you requested?
Value Spectrum | OquantOverview
The Value Spectrum is an indicator designed to provide traders with a visual and quantitative assessment of price positioning relative to a dynamic baseline, helping to identify potential value zones, overextensions, and fair value conditions in various market environments. It builds on traditional volatility envelope concepts but introduces multi-tiered bands with customizable smoothing and a spectrum-based classification system to offer a more nuanced view of market conditions. This allows traders to quickly gauge where price stands in its "value spectrum" without relying solely on binary overbought/oversold signals.
Key Factors/Components
Baseline: A selectable moving average that serves as the central reference point for the envelope.
Volatility Measure: Derived from standard deviation, with optional smoothing to reduce noise in choppy markets.
Multi-Level Bands: Six upper and lower bands are incremented with steps of 0.5x, creating a graduated spectrum rather than fixed thresholds.
Value Classification: A table that categorizes the current price position into distinct levels, such as fair value, oversold, or overbought, for at-a-glance analysis.
How It Works
The indicator calculates a baseline using the chosen moving average type applied to the selected source (e.g., close price). It then measures volatility through standard deviation over a specified length, which can be smoothed using methods like median or other averages to adapt to market noise. Bands are constructed by adding and subtracting multiples of this volatility from the baseline, forming a series of widening zones. Price is evaluated against these zones to determine its position in the spectrum—closer to the baseline suggests fair value, while farther out indicates increasing degrees of extension. The visual fills between bands use gradient transparency to highlight the progression, and the table updates in real-time to label the current state based on where price falls.
For Who It Is Best/Recommended Use Cases
This indicator is best suited for swing traders, and mean-reversion strategists who need to assess relative value mainly in ranging markets. Recommended use cases include:
Identifying entry points in oversold/overbought conditions.
Confirming fair value zones for holding positions or scaling in.
Monitoring extreme extensions as potential reversal warnings.
Settings and Default Settings
Source: Defines the input data series (default: close).
Select MA for Baseline: Choose from options like SMA, EMA, ALMA, HMA, WMA, LSMA, DEMA, TEMA, SMMA(RMA), FRAMA, ZLEMA, T3, VWMA, TRIMA (default: DEMA).
MA Length: Period for the baseline calculation (default: 30).
Alma Offset: Adjusts the offset for ALMA if selected (default: 0.85).
Alma Sigma: Sets the sigma for ALMA if selected (default: 4).
T3 Vol Factor: Volume factor for T3 if selected (default: 0.7).
SD Length: Period for volatility calculation (default: 21).
Smooth Volatility: Enables/disables volatility smoothing (default: false).
Select Volatility Smoothing Method: Options include MEDIAN, SMA, EMA, DEMA, WMA (default: MEDIAN).
Volatility Smoothing Length: Period for smoothing volatility if enabled (default: 20).
Show Table: Toggles the display of the value classification table (default: true).
Conclusion
The Value Spectrum offers a flexible and insightful way to visualize price in context, empowering traders to make informed decisions based on a structured assessment of market value. By customizing the baseline and volatility components, it adapts to different trading styles and assets, providing clarity in different conditions.
⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Aggregated Scores Oscillator [Alpha Extract]A sophisticated risk-adjusted performance measurement system that combines Omega Ratio and Sortino Ratio methodologies to create a comprehensive market assessment oscillator. Utilizing advanced statistical band calculations with expanding and rolling window analysis, this indicator delivers institutional-grade overbought/oversold detection based on risk-adjusted returns rather than traditional price movements. The system's dual-ratio aggregation approach provides superior signal accuracy by incorporating both upside potential and downside risk metrics with dynamic threshold adaptation for varying market conditions.
🔶 Advanced Statistical Framework
Implements dual statistical methodologies using expanding and rolling window calculations to create adaptive threshold bands that evolve with market conditions. The system calculates cumulative statistics alongside rolling averages to provide both historical context and current market regime sensitivity with configurable window parameters for optimal performance across timeframes.
🔶 Dual Ratio Integration System
Combines Omega Ratio analysis measuring excess returns versus deficit returns with Sortino Ratio calculations focusing on downside deviation for comprehensive risk-adjusted performance assessment. The system applies configurable smoothing to both ratios before aggregation, ensuring stable signal generation while maintaining sensitivity to regime changes.
// Omega Ratio Calculation
Excess_Return = sum((Daily_Return > Target_Return ? Daily_Return - Target_Return : 0), Period)
Deficit_Return = sum((Daily_Return < Target_Return ? Target_Return - Daily_Return : 0), Period)
Omega_Ratio = Deficit_Return ≠ 0 ? (Excess_Return / Deficit_Return) : na
// Sortino Ratio Framework
Downside_Deviation = sqrt(sum((Daily_Return < Target_Return ? (Daily_Return - Target_Return)² : 0), Period) / Period)
Sortino_Ratio = (Mean_Return / Downside_Deviation) * sqrt(Annualization_Factor)
// Aggregated Score
Aggregated_Score = SMA(Omega_Ratio, Omega_SMA) + SMA(Sortino_Ratio, Sortino_SMA)
🔶 Dynamic Band Calculation Engine
Features sophisticated threshold determination using both expanding historical statistics and rolling window analysis to create adaptive overbought/oversold levels. The system incorporates configurable multipliers and sensitivity adjustments to optimize signal timing across varying market volatility conditions with automatic band convergence logic.
🔶 Signal Generation Framework
Generates overbought conditions when aggregated score exceeds adjusted upper threshold and oversold conditions below lower threshold, with neutral zone identification for range-bound markets. The system provides clear binary signal states with background zone highlighting and dynamic oscillator coloring for intuitive market condition assessment.
🔶 Enhanced Visual Architecture
Provides modern dark theme visualization with neon color scheme, dynamic oscillator line coloring based on signal states, and gradient band fills for comprehensive market condition visualization. The system includes zero-line reference, statistical band plots, and background zone highlighting with configurable transparency levels.
snapshot
🔶 Risk-Adjusted Performance Analysis
Utilizes target return parameters for customizable risk assessment baselines, enabling traders to evaluate performance relative to specific return objectives. The system's focus on downside deviation through Sortino analysis provides superior risk-adjusted signals compared to traditional volatility-based oscillators that treat upside and downside movements equally.
🔶 Multi-Timeframe Adaptability
Features configurable calculation periods and rolling windows to optimize performance across various timeframes from intraday to long-term analysis. The system's statistical foundation ensures consistent signal quality regardless of timeframe selection while maintaining sensitivity to market regime changes through adaptive band calculations.
🔶 Performance Optimization Framework
Implements efficient statistical calculations with optimized variable management and configurable smoothing parameters to balance responsiveness with signal stability. The system includes automatic band adjustment mechanisms and rolling window management for consistent performance across extended analysis periods.
This indicator delivers sophisticated risk-adjusted market analysis by combining proven statistical ratios in a unified oscillator framework. Unlike traditional overbought/oversold indicators that rely solely on price movements, the ASO incorporates risk-adjusted performance metrics to identify genuine market extremes based on return quality rather than price volatility alone. The system's adaptive statistical bands and dual-ratio methodology provide institutional-grade signal accuracy suitable for systematic trading approaches across cryptocurrency, forex, and equity markets with comprehensive visual feedback and configurable risk parameters for optimal strategy integration.
MACD-V+MACD-V+ Indicator - Advanced Momentum Analysis
The MACD-V+ indicator is an enhanced version of the volatility-normalized MACD methodology developed by Alex Spiroglou. This approach addresses critical limitations of traditional MACD through ATR-based volatility normalization, providing comparable values across time and markets.
What is MACD-V?
MACD-V applies Average True Range (ATR) normalization to traditional MACD, creating a universal momentum indicator that works consistently across all markets and timeframes. The methodology was developed through extensive statistical research analyzing multiple markets and timeframes.
Formula: × 100
This normalization transforms MACD from price-dependent values into standardized momentum readings.
Traditional MACD Limitations
Limitation 1: Non-Comparable Values Across Time
Traditional MACD values cannot be compared across different time periods due to varying price levels. S&P 500 maximum MACD was 1.56 in 1957-1971, but reached 86.31 in 2019-2021 - not indicating 55x stronger momentum, but simply different price scales.
Solution: MACD-V provides comparable historical values where a reading of 100 today has the same mathematical meaning as 100 in any previous period.
Limitation 2: Non-Comparable Across Markets
Traditional MACD cannot compare momentum between different assets. S&P 500 MACD of 65 versus EUR/USD MACD of -0.5 reflects price differences, not relative strength.
Solution: MACD-V creates universal levels that work across all markets. The ±150 extreme levels apply consistently whether analyzing stocks, bonds, commodities, or currencies.
Limitation 3: No Objective Momentum System
Traditional MACD lacks universal overbought or oversold level definitions, making systematic analysis difficult.
Solution: MACD-V provides an objective 7-stage momentum lifecycle system with clearly defined zones and state transitions.
Limitation 4: Signal Line False Signals
In low momentum environments, traditional MACD generates multiple false signals as the line oscillates near zero.
Solution: MACD-V filters signal quality by identifying neutral zones (-50 to +50) where signal reliability is lower.
Limitation 5: Signal Line Timing Lag
During extreme momentum, traditional MACD signal line lags significantly due to large separation from the MACD line.
Solution: MACD-V anticipates timing issues in extreme momentum environments (±150) through zone-based analysis and lifecycle states.
Universal Application
MACD-V+ works across:
Individual Stocks
Forex Pairs
Commodity Futures
Cryptocurrencies
All Timeframes
Key Features
Zone System
Overbought Zone: Above +150 (extreme bullish momentum)
Rally Zone: +50 to +150 (strong bullish momentum)
Ranging Zone: -50 to +50 (neutral/low momentum)
Rebound Zone: -50 to -150 (strong bearish momentum)
Oversold Zone: Below -150 (extreme bearish momentum)
7-Stage Lifecycle States
Ranging: Neutral momentum in -50 to +50 zone
Rallying: Rally zone + MACD above Signal + rising momentum
Overbought: Extreme zone above +150
Retracing: Rally zone + MACD below Signal (pullback from overbought)
Reversing: Rebound zone + MACD below Signal + falling momentum
Oversold: Extreme zone below -150
Rebounding: Rebound zone + MACD above Signal (recovery from oversold)
Visual Status Display
Real-Time State Table: Shows current lifecycle state name
Color-Coded States: Blue (Rallying/Rebounding), Red (Overbought/Oversold), Orange (Retracing/Reversing), Gray (Ranging)
Strength Multiplier: Live histogram strength indicator (e.g., "x 1.45")
Enhanced Features (Plus)
Absolute Histogram MA: ATR-length moving average of absolute histogram values for strength measurement
Direction-Aware Display: MA line follows histogram sign (positive above 0, negative below 0)
Strength Multiplier: Current momentum vs. average strength ratio (always positive value)
Histogram Extreme Levels: Short-term overbought/oversold (±40) for pullback detection
Chart Legend - Visual Signal Guide
Lines and Histogram
🔵 Blue Line: MACD-V value (ATR-normalized momentum)
🟠 Orange Line: Signal line (9-period EMA of MACD-V)
📊 Histogram Bars: MACD-V minus Signal line (momentum differential)
Histogram Colors: Green shades (positive momentum), Red shades (negative momentum)
🟡 Yellow Line: Dynamic MA of absolute histogram values (follows histogram sign)
Background Colors
🟥 Light Red Background: Extreme overbought zone (MACD-V > +150)
🟩 Light Green Background: Extreme oversold zone (MACD-V < -150)
Horizontal Reference Lines
➖ +150 (Gray Dashed): Overbought extreme level
➖ +50 (Gray Dashed): Rally zone entry level
➖ 0 (Gray Solid): Zero line - trend separator
➖ -50 (Gray Dashed): Rebound zone entry level
➖ -150 (Gray Dashed): Oversold extreme level
Optional Histogram Levels
➖ +40 (Yellow Dashed): Histogram short-term overbought
➖ -40 (Yellow Dashed): Histogram short-term oversold
Status Table
📋 Top-Center Table: Current lifecycle state display
State Name: RANGING / RALLYING / OVERBOUGHT / RETRACING / REVERSING / OVERSOLD / REBOUNDING
Histogram Warning: Short-term overbought/oversold alerts (±40 levels)
State Label
📊 Label at MACD/Signal Midpoint: Current lifecycle state with strength analysis
State Name: RANGING / RALLYING / OVERBOUGHT / RETRACING / REVERSING / OVERSOLD / REBOUNDING
Strength Multiplier Interpretation:
- Strong acceleration (>1.75): Powerful momentum, trend continuation likely
- Moderate progression (1.25-1.75): Normal trend strength
- Trend continuation (0.75-1.25): Stable momentum near average
- Watch for reversal (0.25-0.75): Weakening momentum
- Trend exhaustion (<0.25): Very weak momentum, reversal possible
Trading Applications
1. Lifecycle State Trading
Enter Long: When state changes to "RALLYING" (strong bullish momentum established)
Enter Short: When state changes to "REVERSING" (strong bearish momentum established)
Exit/Reduce: When state reaches "OVERBOUGHT" or "OVERSOLD" (extreme levels)
Avoid Trading: When state is "RANGING" (low momentum, unreliable signals)
2. Zone-Based Trading
Rally Zone (+50 to +150): Look for pullback entries (histogram dips)
Rebound Zone (-50 to -150): Look for bounce entries (histogram rises)
Extreme Zones (±150+): Prepare for reversal or take profits
Ranging Zone (-50 to +50): Wait for breakout confirmation
3. Signal Line Crossovers
Bullish Cross: MACD-V crosses above Signal line (momentum shift up)
Bearish Cross: MACD-V crosses below Signal line (momentum shift down)
Quality Filter: Trust crossovers in Rally/Rebound zones, ignore in Ranging zone
4. Zero Line Crosses
Cross Above 0: Transition to bullish regime
Cross Below 0: Transition to bearish regime
Trend Confirmation: Strong trends keep MACD-V on same side of zero
5. Histogram Extreme Strategy
Above +40: Short-term overbought - potential pullback
Below -40: Short-term oversold - potential bounce
Use with Trend: Buy dips to -40 in uptrend, sell rallies to +40 in downtrend
6. Strength Multiplier Analysis
> 1.75: Strong acceleration - powerful momentum, trend continuation highly likely
1.25 to 1.75: Moderate progression - normal healthy trend strength
0.75 to 1.25: Trend continuation - stable momentum near average strength
0.25 to 0.75: Watch for reversal - momentum weakening significantly
< 0.25: Trend exhaustion - very weak momentum, reversal possible
Comprehensive Alert System
Lifecycle State Change Alerts
Range Entered (low momentum warning)
Rally Started (bullish momentum established)
Overbought Reached (extreme bullish level)
Overbought Exit (leaving extreme zone)
Retracing Started (pullback from overbought)
Reversal Started (bearish momentum established)
Oversold Reached (extreme bearish level)
Oversold Exit (leaving extreme zone)
Rebounding Started (recovery from oversold)
Alert Builder Integration
Binary outputs (1/0) for external alert systems:
Individual state flags for each of 7 lifecycle states
Strength multiplier value for programmatic trend assessment
Settings & Parameters
MACD Configuration
MACD Fast: Fast EMA period (default: 12)
MACD Slow: Slow EMA period (default: 26)
Signal Line: Signal smoothing period (default: 9)
Source: Price source (default: Close)
Zone Boundaries
Overbought: Extreme bullish level (default: 150)
Oversold: Extreme bearish level (default: -150)
Rally: Strong bullish zone entry (default: 50)
Rebound: Strong bearish zone entry (default: -50)
Histogram Bounds
Histogram OB: Short-term overbought (default: 40)
Histogram OS: Short-term oversold (default: -40)
Trend Filters
MA Type: Histogram strength MA calculation method (None / SMA / EMA)
Show Elder Impulse Plus: Bar color system based on EMA(13) + histogram direction
200 EMA trend: Trend Filter v1 - Bull/Bear classification (adaptive MACD-V levels)
50/200 EMA 6-stage: Trend Filter v2 - Chuck Dukas Diamond 6-stage market classification
Best Practices
Trending Markets
Focus on "RALLYING" or "REVERSING" states for entries
Use histogram pullbacks (±40) for position additions
Monitor strength multiplier - exit if drops below 0.25
Take profits in extreme zones (±150+)
Yellow MA crossing histogram warns of momentum shift
Ranging Markets
Avoid trading when state is "RANGING"
Wait for clear zone entry (Rally/Rebound zone)
Use shorter timeframes for precision
Reduce position sizes due to lower reliability
Multi-Timeframe Analysis
Higher timeframe: Identify market regime (lifecycle state)
Lower timeframe: Time precise entries (histogram pullbacks)
Alignment: Trade only when both timeframes agree on direction
Risk Management
Reduce position size in extreme zones (±150+)
Use lifecycle state changes for stop-loss placement
Scale out of positions when strength multiplier < 0.25
Avoid counter-trend trades in strong states (RALLYING/REVERSING)
Watch yellow MA - when it crosses below histogram absolute value, momentum weakening
Combining with LBR 3/10-V Indicator
MACD-V+ and LBR 3/10-V create a powerful two-timeframe momentum system for strategic direction and tactical timing.
Strategic Filter: MACD-V+ determines WHETHER to trade (market regime)
Tactical Precision: LBR 3/10-V determines WHEN to enter (timing)
Double Confirmation: Both indicators must agree on direction
Lifecycle Management: Exit when MACD-V+ state changes
Strength Validation: Use MACD-V+ multiplier for position sizing
Extreme Respect: Both hitting extremes = high reversal probability
Methodology
MACD-V methodology is based on volatility normalization using Average True Range (ATR). This approach transforms traditional MACD into a universal momentum indicator with statistically-validated zones and objectively-defined states.
The indicator implements:
ATR-based normalization for cross-market comparability
Statistical analysis for universal zone definitions (±150, ±50)
Lifecycle state system for objective trend identification
Absolute histogram MA with direction-aware visualization (ATR-length period)
Strength multiplier: ratio of current to average absolute momentum (always positive)
Dynamic status table adapting to active trend filters
MACD-V+ transforms momentum analysis from subjective interpretation into objective, quantifiable measurements. Combined with LBR 3/10-V for tactical timing, it provides a complete framework for systematic trading across all financial markets and timeframes.
This indicator is designed for educational and analytical purposes. Past performance does not guarantee future results. Always conduct thorough research and consider consulting with financial professionals before making investment decisions.
SEVENX|SuperFundedSEVENX — Modular Multi-Signal Scanner (SuperFunded)
What it is
SEVENX combines seven classic signals—MACD, OBV, RSI, Stochastics, CCI, Momentum, and an optional ATR volatility filter—into a modular gate. You can toggle each condition on/off, and a BUY/SELL arrow prints only when all enabled conditions agree. Text labels are optional.
Why this is not a simple mashup
・Most “combo” scripts just overlay indicators. SEVENX is a strict consensus engine:
・Each condition is binary and user-switchable.
・The final signal is the logical AND of all enabled checks (no hidden weights).
・Signals fire only on confirmed events (e.g., RSI crossing a level, Stoch K/D cross), which makes entries rule-driven and reproducible.
This yields a transparent, vendor-grade workflow where traders can start simple (2–3 gates) and tighten selectivity by enabling more gates.
How it works (concise)
・MACD: macd_line > signal_line (buy) / < (sell).
・OBV trend: OBV > OBV_MA (buy) / < (sell).
・RSI bounce/drop: crossover(RSI, Oversold) (buy) / crossunder(RSI, Overbought) (sell).
・Stoch cross: %K crosses above %D (buy) / below (sell).
・CCI rebound/pullback: crossover(CCI, -Level) (buy) / crossunder(CCI, +Level) (sell).
・Momentum: Momentum > 0 (buy) / < 0 (sell).
・ATR filter (optional): ATR > ATR_MA must also be true (both sides).
・Final signal: AND of all enabled conditions. If you enable none on a side, that side will not print.
Parameters (UI mapping)
Buy Signal (group: “— Buy Signal —”)
・MACD Golden Cross / OBV Uptrend / RSI Bounce from Oversold / Stochastic Golden Cross / CCI Rebound from Oversold / Momentum > 0 / ATR Volatility Filter (on/off)
Sell Signal (group: “— Sell Signal —”)
・MACD Dead Cross / OBV Downtrend / RSI Drop from Overbought / Stochastic Dead Cross / CCI Pullback from Overbought / Momentum < 0 / ATR Volatility Filter (on/off)
Indicator Settings
・MACD: Fast/Slow/Signal lengths.
・RSI: Length, Overbought/Oversold levels.
・Stochastics: %K length, %D smoothing, overall smoothing.
・CCI: Length, Level (±Level used).
・Momentum: Length.
・OBV: MA length for trend baseline.
・ATR: ATR length, ATR MA length (for the filter).
Display
・Show Text (BUY/SELL text on the markers), Buy/Sell Text Colors.
Practical usage
・Start simple: Enable 2 conditions (e.g., MACD + RSI). If signals are too frequent, add OBV or Momentum; if still frequent, enable ATR filter.
・Mean-reversion vs trend:
・For trend-following, prefer MACD/OBV/Momentum gates.
・For reversal bounces, add RSI/CCI gates and keep Stoch for timing.
・Tuning sensitivity:
・Raise RSI Oversold/Overbought thresholds to make bounces rarer.
・Increase ATR_MA length to smooth the volatility baseline.
・Risk first: Plan SL/TP independently (e.g., structure levels or R-multiples). SEVENX focuses on entry qualification, not exits.
Repainting & confirmation
Signals depend on cross events and are best treated on bar close. Intrabar flips can occur before a bar closes; for strict rules, confirm on closed bars in your strategy.
Disclaimer
No indicator can guarantee outcomes. News, liquidity, and spread conditions can invalidate signals. Trade responsibly and manage risk.
SuperFunded invite-only
To obtain access, please DM me on TradingView or use the link in my profile.
SEVENX — モジュラー型マルチシグナル・スキャナー（日本語）
概要
SEVENXは、MACD / OBV / RSI / ストキャス / CCI / モメンタム / ATRフィルターの7条件を個別オン・オフで制御し、有効化した条件がすべて満たされたときだけBUY/SELL矢印を表示する、合意（AND）型シグナルインジです。テキスト表示も任意。
独自性・新規性
・各条件はブラックボックスではなく明示的なブール判定で、最終シグナルは有効化した条件のAND。
・RSIのレベルクロスやStochのK/Dクロスなど、確定イベントで判定するため、再現性の高いルール運用が可能。少数条件から始めて、必要に応じて段階的に厳格化できます。
動作要点
・MACD：線がシグナル上/下。
・OBV：OBVがOBVのMAより上/下。
・RSI：RSIがOSを上抜け（買い）/OBを下抜け（売り）。
・Stoch：%Kが%Dを上抜け/下抜け。
・CCI：CCIが**−Levelを上抜け**（買い）/+Levelを下抜け（売り）。
・Momentum：0より上/下。
・ATRフィルター（任意）：ATR > ATR_MA を満たすこと（買い/売り共通）。
・最終サイン：有効化した条件のAND。そのサイドで1つも有効化していなければサインは出ません。
実践ヒント
・まずは2条件（例：MACD＋RSI）でテスト → 多すぎるならOBV/MomentumやATRフィルターを追加。
・トレンド重視：MACD/OBV/Momentumを主軸に。
・押し目・戻り目狙い：RSI/CCIを追加、Stochでタイミング調整。
・感度調整：RSIのOB/OSを広げる、ATR_MAを長くする等で厳しめに。
・出口は別設計：SL/TPは価格帯やR倍数などで管理を。
再描画と確定
確定足基準で判断すると安定します。足確定前はクロスが行き来することがあります。
免責
シグナルの機能は保証されません。イベントや流動性で無効化する場合があります。資金管理のうえ自己責任でご利用ください。
SuperFunded 招待専用スクリプト
このスクリプトはSuperFundedの参加者専用です。アクセスをご希望の方は、SuperFundedにご登録のメールアドレスから partner@superfunded.com 宛に、TradingViewの登録名をご送信ください。
Trap LineTrap Line W — Weekly Trend Barrier (Closed-source)
Overview
Trap Line W is a trend-following overlay that plots a single weekly baseline to define the market’s higher-timeframe regime. Price above the line indicates a bullish regime; price below the line indicates a bearish regime. The goal is to promote regime discipline—staying aligned with the dominant direction and avoiding late, emotionally driven entries. Core parameters are fixed to ensure consistent behavior across symbols.
What it does (principles, not secrets)
• Builds a smoothed weekly baseline designed to approximate the higher-timeframe trend path.
• Uses higher-timeframe aggregation so regime assessments align with closed weekly candles.
• Acts as a simple, binary bias filter: long-only above, short/avoid longs below (framework, not advice).
Inputs
• No user-tweakable inputs. Parameters are fixed to reduce overfitting and improve repeatability.
How to read it
• Above the line ⇒ bullish regime.
• Below the line ⇒ bearish regime.
• A confirmed weekly close through the line suggests a potential regime transition; intrawEEK moves may fade.
Practical use cases
• Bias gating: enable/disable long or short playbooks based on the weekly regime.
• Portfolio overlay: apply to a watchlist; prefer allocations aligned with the weekly regime.
• Risk context: in a bullish regime, tolerate pullbacks selectively; in a bearish regime, be conservative with counter-trend exposure.
• Timeframe bridging: weekly sets bias; lower timeframes handle entries/exits.
Best practices
• Wait for the weekly close before declaring a regime flip.
• Combine with market structure (HH/HL vs. LH/LL), volume behavior, and higher-timeframe S/R.
• Prefer time-based candles and liquid instruments for clearer behavior.
Charting & data notes
• Values derive from the weekly timeframe and finalize on the weekly close; interim values may update during formation.
• Use standard time-based candles. Avoid interpreting signals on Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts.
Common pitfalls
• Front-running the weekly close can cause false regime flips.
• Overtrading counter-trend near the line often has lower expectancy.
• Ignoring liquidity/news risk can lead to whipsaws around the baseline.
Who it’s for
• Swing and position traders needing a clear, rules-based regime filter.
• Systematic traders who prefer a simple, fixed-parameter bias overlay.
Limitations & disclosures
• Closed-source; for educational and analytical use only.
• Not financial advice. Markets involve risk; past performance is not indicative of future results.
Suggested screenshot captions
• “Bullish regime: weekly close above Trap Line W; pullbacks respecting the line.”
• “Bearish regime: weekly close below Trap Line W; rallies capped near the line.”
Quantile-Based Adaptive Detection🙏🏻 Dedicated to John Tukey. He invented the boxplot, and I finalized it.
QBAD (Quantile-Based Adaptive Detection) is ‘the’ adaptive (also optionally weighted = ready for timeseries) boxplot with more senseful fences. Instead of hardcoded multipliers for outer fences, I base em on a set of quantile-based asymmetry metrics (you can view it as an ‘algorithmic’ counter part of central & standardized moments). So outer bands are Not hardcoded, not optimized, not cross-validated etc, simply calculated at O(nlogn).
You can use it literally everywhere in any context with any continuous data, in any task that requires statistical control, novelty || outlier detection, without worrying and doubting the sense in arbitrary chosen thresholds. Obviously, given the robust nature of quantiles, it would fit best the cases where data has problems.
The thresholds are:
Basis: the model of the data (median in our case);
Deviations: represent typical spread around basis, together form “value” in general sense;
Extensions: estimate data’s extremums via combination of quantile-based asymmetry metrics without relying on actual blunt min and max, together form “range” / ”frame”. Datapoints outside the frame/range are novelties or outliers;
Limits: based also on quantile asymmetry metrics, estimate the bounds within which values can ‘ever’ emerge given the current data generating process stays the same, together form “field”. Datapoints outside the field are very rare, happen when a significant change/structural break happens in current data-generating process, or when a corrupt datapoint emerges.
…
The first part of the post is for locals xd, the second is for the wanderers/wizards/creators/:
First part:
In terms of markets, mostly u gotta worry about dem instruments that represent crypto & FX assets: it’s either activity hence data sources there are decentralized, or data is fishy.
For a higher algocomplexity cost O(nlong), unlike MBAD that is 0(n), this thing (a control system in fact) works better with ishy data (contaminated with wrong values, incomplete, missing values etc). Read about the “ breakdown point of an estimator ” if you wanna understand it.
Even with good data, in cases when you have multiple instruments that represent the same asset, e.g. CL and BRN futures, and for some reason you wanna skip constructing a proper index of em (while you should), QBAD should be better put on each instrument individually.
Another reason to use this algo-based rather than math-based tool, might be in cases when data quality is all good, but the actual causal processes that generate the data are a bit inconsistent and/or possess ‘increased’ activity in a way. SO in high volatility periods, this tool should provide better.
In terms of built-ins you got 2 weightings: by sequence and by inferred volume delta. The former should be ‘On’ all the time when you work with timeseries, unless for a reason you want to consciously turn it off for a reason. The latter, you gotta keep it ‘On’ unless you apply the tool on another dataset that ain’t got that particular additional dimension.
Ain’t matter the way you gonna use it, moving windows, cumulative windows with or without anchors, that’s your freedom of will, but some stuff stays the same:
Basis and deviations are “value” levels. From process control perspective, if you pls, it makes sense to Not only fade or push based on these levels, but to also do nothing when things are ambiguous and/or don’t require your intervention
Extensions and limits are extreme levels. Here you either push or fade, doing nothing is not an option, these are decisive points in all the meanings
Another important thing, lately I started to see one kind of trend here on tradingview as well and in general in near quant sources, of applying averages, percentiles etc ‘on’ other stationary metrics, so called “indicators”. And I mean not for diagnostic or development reasons, for decision making xd
This is not the evil crime ofc, but hillbilly af, cuz the metrics are stationary it means that you can model em, fit a distribution, like do smth sharper. Worst case you have Bayesian statistics armed with high density intervals and equal tail intervals, and even some others. All this stuff is not hard to do, if u aint’t doing it, it’s on you.
So what I’m saying is it makes sense to apply QBAD on returns ‘of your strategy’, on volume delta, but Not on other metrics that already do calculations over their own moving windows.
...
Second part:
Looks like some finna start to have lil suspicions, that ‘maybe’ after all math entities in reality are more like blueprints, while actual representations are physical/mechanical/algorithmic. Std & centralized moments is a math entity that represents location, scale & asymmetry info, and we can use it no problem, when things are legit and consistent especially. Real world stuff tho sometimes deviates from that ideal, so we need smth more handy and real. Add to the mix the algo counter part of means: quantiles.
Unlike the legacy quantile-based asymmetry metrics from the previous century (check quantile skewness & kurtosis), I don’t use arbitrary sets of quantiles, instead we get a binary pattern that is totally geometric & natural (check the code if interested, I made it very damn explicit). In spirit with math based central & standardized moments, each consequent pair is wider empathizing tail info more and more for each higher order metric.
Unlike the classic box plot, where inner thresholds are quartiles and the rest are based on em, here the basis is median (minimises L1), I base inner thresholds on it, and we continue the pattern by basing the further set of levels on the previous set. So unlike the classic box plot, here we have coherency in construction, symmetry.
Another thing to pay attention to, tho for some reason ain’t many talk about it, it’s not conceptually right to think that “you got data and you apply std moments on it”. No, you apply it to ‘centered around smth’ data. That ‘smth’ should minimize L2 error in case of math, L1 error in case of algo, and L0 error in case of learning/MLish/optimizational/whatever-you-cal-it stuff. So in the case of L0, that’s actually the ‘mode’ of KDE, but that’s for another time. Anyways, in case of L2 it’s mean, so we center data around mean, and apply std moments on residuals. That’s the precise way of framing it. If you understand this, suddenly very interesting details like 0th and 1st central moments start to make sense. In case of quantiles, we center data around the median, and do further processing on residuals, same.
Oth moment (I call it init) is always 1, tho it’s interesting to extrapolate backwards the sequence for higher order moments construction, to understand how we actually end up with this zero.
1st moment (I call it bias) of residuals would be zero if you match centering and residuals analysis methods. But for some reason you didn’t do that (e.g centered data around midhinge or mean and applied QBAD on the centered data), you have to account for that bias.
Realizing stuff > understanding stuff
Learning 2981234 human invented fields < realizing the same unified principles how the Universe works
∞
RVol+ Enhanced Relative Volume Indicator📊 RVol+ Enhanced Relative Volume Indicator
Overview
RVol+ (Relative Volume Plus) is an advanced time-based relative volume indicator designed specifically for swing traders and breakout detection. Unlike simple volume comparisons, RVol+ analyzes volume at the same time of day across multiple sessions, providing statistically significant insights into institutional activity and breakout potential.
🎯 Key Features
Core Volume Analysis
Time-Based RVol Calculation - Compares current cumulative volume to the average volume at this exact time over the past N days
Statistical Z-Score - Measures volume in standard deviations from the mean for true anomaly detection
Volume Percentile - Shows where current volume ranks historically (0-100%)
Sustained Volume Filter - 3-bar moving average prevents false signals from single-bar spikes
Breakout Detection
🚀 Confirmed Breakouts - Identifies price breakouts validated by high volume (RVol > 1.5x)
⚠️ False Breakout Warnings - Alerts when price breaks key levels on low volume (high failure risk)
Multi-Timeframe Context - Weekly volume overlay prevents chasing daily noise
Advanced Metrics
OBV Divergence Detection - Spots bullish/bearish accumulation/distribution patterns
Volume Profile Integration - Identifies institutional positioning
Money Flow Analysis - Tracks smart money vs retail activity
Extreme Volume Alerts - 🔥 Labels mark unusual spikes beyond the display cap
Visual Intelligence
Smart Color Coding:
🟢 Bright Teal = High activity (RVol ≥ 1.5x)
🟡 Medium Teal = Caution zone (RVol ≥ 1.2x)
⚪ Light Teal = Normal activity
🟠 Orange = Breakout confirmed
🔴 Red = False breakout risk
Comprehensive Stats Table:
Current Volume (formatted as M/K/B)
RVol ratio
Z-Score with significance
Volume percentile
Historical average and standard deviation
Sustained volume confirmation
📈 How to Use
For Swing Trading (1D - 3W Holds)
Perfect Setup:
✓ RVol > 1.5x (bright teal)
✓ Z-Score > 2.0 (⚡ alert)
✓ Percentile > 90%
✓ Sustained = ✓
✓ 🚀 Breakout label appears
Avoid:
✗ Red "Low Vol" warning during breakouts
✗ RVol < 1.0 at key levels
✗ Sustained volume not confirmed
Signal Interpretation
⚡ Z>2 Labels - Statistically significant volume (95th+ percentile) - highest probability moves
↗️ OBV+ Labels - Bullish accumulation (OBV rising while price consolidates)
↘️ OBV- Labels - Bearish distribution (OBV falling while price rises)
🔵 Blue Background - Weekly volume elevated (confirms daily strength)
⚙️ Customization
Basic Settings
N Day Average - Number of historical days for comparison (default: 5)
RVol Thresholds - Customize highlight levels (default: 1.2x, 1.5x)
Visual Display Cap - Prevent extreme spikes from compressing view (default: 4.0x)
Advanced Metrics (Toggle On/Off)
Z-Score analysis
Weekly RVol context
OBV divergence detection
Volume percentile ranking
Breakout signal generation
Table Customization
Position - 9 placement options to avoid chart overlap
Size - Tiny to Huge
Colors - Full customization of positive/negative/neutral values
Transparency - Adjustable background
Debug Mode
Enable Pine Logs for calculation transparency
Adjustable log frequency
Real-time calculation breakdown
🔬 Technical Details
Algorithm:
Binary search for historical lookups (O(log n) performance)
Time-zone aware session detection
DST-safe timestamp calculations
Exponentially weighted standard deviation
Anti-repainting architecture
Performance:
Optimized for max_bars_back = 5000
Efficient array management
Built-in function optimization
Memory-conscious data structures
📊 What Makes RVol+ Different?
vs. Standard Volume:
Context-aware (time-of-day matters)
Statistical significance testing
False breakout filtering
vs. Basic RVol:
Z-Score normalization (2-3 sigma detection)
Multi-timeframe confirmation
OBV divergence integration
Sustained volume filtering
Smart visual scaling
vs. Professional Tools:
Free and open-source
Fully customizable
No black-box algorithms
Educational debug logs
💡 Best Practices
Wait for Confirmation - Don't enter on first bar; wait for sustained volume ✓
Combine with Price Action - RVol validates, price structure determines entry
Weekly Context Matters - Blue background = institutional interest
Z-Score is King - Focus on ⚡ alerts for highest probability
Avoid Low Volume Breakouts - Red ⚠️ labels = high failure risk
🎓 Trading Psychology
Volume precedes price. When RVol+ shows:
High RVol + Rising OBV = Accumulation before breakout
High RVol at Resistance = Test of conviction
Low RVol on Breakout = Retail-driven (fade candidate)
Z-Score > 3 = Potential "whale" positioning
📝 Credits
Based on the time-based RVol concept from /u/HurlTeaInTheSea, enhanced with:
Statistical analysis (z-scores, percentiles)
Multi-timeframe integration
OBV divergence detection
Professional-grade visualization
Swing trading optimization
🔧 Version History
v2.0 - Enhanced Edition
Added Z-Score analysis
Multi-timeframe volume context
OBV divergence detection
Breakout confirmation system
Smart color coding
Customizable stats table
Debug logging mode
Performance optimizations
📚 Learn More
For optimal use with swing trading:
Combine with support/resistance levels
Watch for volume clusters in consolidation
Use weekly timeframe for trend confirmation
Monitor OBV divergence for early warnings
⚠️ Disclaimer
This indicator is for educational purposes. Volume analysis is one component of trading decisions. Always use proper risk management, consider multiple timeframes, and validate signals with price structure. Past performance does not guarantee future results.
🚀 Getting Started
Add indicator to chart
Adjust "N Day Average" to your preference (5-10 days typical)
Position stats table to avoid overlap
Enable features you want to monitor
Watch for 🚀 breakout confirmations!
Happy Trading! 📈
Market Movement Indicator (MMI) The indicator fuses trend‑following (Supertrend) and momentum (EMA hierarchy) filters to give a clear, binary‑plus‑neutral signal that can be used for entry/exit decisions, position sizing, or as a filter for other strategies. Watch the video at youtu.be
