TAKA Unified Signal (iPad Safe v7 – bottom banner)A multi-logic unified signal combining:
N-Wave × Dow Theory × MACD × Granville × ADX
The system triggers only when all five conditions align simultaneously,
displaying a large bottom banner:
ALL-IN SYNC: LONG / SHORT or WAITING…
• Structure: Major N-Wave direction
• Breakout check: Minor N-Wave confirmation
• Trend logic: Dow Theory (BOS / CHOCH)
• Momentum: MACD crossover
• Deviation logic: EMA Granville rule
• Range filter: ADX threshold (optional)
On higher timeframes, signals appear maybe once a week.
Even on 5-minute charts, once per day at best.
It’s a precision-based, quiet-mode logic built for reliability over frequency.
🔔 Alert notification when the banner is triggered
🧩 Optimized for clean layout and low load
🦅 TAKA Unified Signal (iPad Safe v7 – bottom banner)
4理論＋1フィルターを統合した多条件型シグナル
N波動 × ダウ理論 × MACD × グランビル × ADX
5条件が同時に成立した瞬間のみ
チャート下部に大型バナーを表示
「ALL-IN SYNC: LONG / SHORT」または「WAITING…」で判定
• 方向判定：大N波動
• ブレイク確認：小N波動
• 転換認識：ダウ理論（BOS/CHOCH）
• 勢い：MACD
• 乖離確認：EMAグランビル
• レンジ除外：ADX閾値（任意）
上位足では週1回出るかどうか
5分足でも1日1回程度
精度重視型・静寂型ロジック
🔔 バナー点灯時にアラート通知可
🧩 iPad対応版（安全表示・低負荷）
Трендовый анализ
Yearly Highs - 3 Years - GreenmoonYearly highs for current and L2 years. For 2025 would be 2025, 2024, and 2023 yearly highs.
SPX Option Wedge Breakout v1.5a (Dual + Micro)
# SPX Option Wedge Breakout (Dual + Micro) — by Miguel Licero
What it does
This indicator is designed to catch fast, 3–5-bar momentum bursts in **SPX options (OPRA)** or the underlying (SPX/ES). It combines two detection engines:
1. Wedge Breakout Engine
Locates *falling-wedge* compression using recent swing pivots and verifies statistical tightness (channel width vs. ATR).
Confirms breakout when price closes above the wedge’s upper guide **and** above **EMA-21**, with optional **VWAP** confluence and volume expansion.
2. Micro-Breakout Engine (sub-VWAP thrusts)
Triggers when **EMA-9 crosses above EMA-21** and price **breaks the prior N-bar high (BOS)** with volume expansion.
Specifically handles rallies that start **below VWAP**, requiring sufficient “room to VWAP” measured as a fraction of ATR.
This indicador provides a state machine overlay and a dashboard . Consider the following states:
IDLE – no setup
WATCH – valid compression + preconditions (OBV positive, RSI build zone, tightness)
TRIGGER-A – breakout *above VWAP* (Strict mode)
TRIGGER-B/Micro – Under VWAP thrust with room to VWAP or Micro-Breakout (Flexible mode - this is the most common case for SPX options)
Why I believe it works
In my observation i've found short, violent option moves often occur when:
(1) liquidity compresses then releases (wedge), or
(2) micro momentum flips under VWAP and snaps to VWAP/EMA-50 (delta + IV expansion).
The indicator surfaces these two structures with clear, tradeable signals.
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Inputs (key parameters)
EMAs : 9 / 21 / 50 / 200 (trend/micro-momentum and magnets/targets)
VWAP: optional intraday confluence and distance metric
Wedge: pivot widths (`left/right`), `tightK` (channel width vs ATR), `atrLen`
Volume/OBV/RSI: `volLen`, `volBoost` (volume expansion factor), `obvLen` (slope via linreg), `rsiLen`
VWAP Mode:
Strict – breakout must be above VWAP (TRIGGER-A)
Flexible – allows under VWAP breakouts if there’s room to VWAP (`minVWAPDistATR`) or a Micro-Breakout
Micro-Breakout: `useMicro`, `bosLen` (BOS lookback), `minRSIMicro`
Impulse Bars Target: time-based exit helper (e.g., like 3 or 5 candles)
---
Plots & UI
Overlay: EMA-9/21/50/200, VWAP, wedge guides, **TRIGGER** marker
Background color: state shading (IDLE / WATCH / TRIGGER)
Dashboard (table, top-right): State, VWAP mode, distances to VWAP/EMA-50/EMA-200, EMA-stack (9 vs 21), OBV slope sign, RSI zone, Tightness flag, Impulse counter, Micro status (9>21 / +BOS)
---
Alerts
Consider these status when you see them:
WATCH (there is wedge ready) – compression + preconditions met (prepare the order)
TRIGGER-A (price going above VWAP) – Strict breakout confirmation
TRIGGER-B/Micro – Flexible breakout (price under VWAP with room to go up to VWAP, EMA 200, -OB, resistance line, etc) or Micro-Breakout
---
Recommended Use
Timeframes: 1-minute for execution, 5-minute for context.
Symbols : OPRA SPX options (0-DTE/1-DTE) or SPX/ES for confirmation.
Sessions: Intraday with visible session (VWAP requires intraday data).
Suggested presets (for options):
`VWAP Mode = Flexible`
`minVWAPDistATR = 0.7` (room to VWAP)
`tightK = 1.0–1.2` (compression sensitivity)
`volBoost = 1.2` (raise to 1.3–1.4 if noisy)
`obvLen = 14–20` (14 = more reactive)
`Impulse Bars = 5`
High-probability windows (ET): 11:45–12:45, 13:45–15:15, 15:00–15:45.
---
Notes & Limitations
Designed to surface setups , not to replace discretion. Combine with your risk plan.
VWAP “room” is statistical; on news/latency spikes, distances may be crossed in one bar.
Works on underlyings too, but option % moves are what this study targets.
It's not guaranteed to work 100% of the times. Trade responsibly.
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Key-Levels - D/W/M High-Low + Fib + MA🧭 Key-Levels – D/W/M High-Low + Fibonacci + Moving Averages
A complete multi-timeframe analysis toolkit that combines Daily, Weekly, and Monthly high/low levels, Fibonacci retracements, and customizable moving averages — all in one clean, efficient display.
Ideal for traders who want to identify key reaction zones, retracement levels, and trend alignment across multiple timeframes.
🔹 Features
1. Prior High/Low Levels
Plots Daily (PDH/PDL), Weekly (PWH/PWL), and Monthly (PMH/PML) key levels
Adjustable colors, styles (Solid / Dashed / Dotted), and line widths
Optional midline display for each timeframe
Displays live labels with price values and % difference from current close
Extend lines rightward to project future price interactions
2. Fibonacci Retracement
Auto-detects swing highs/lows using configurable pivot lengths
Smart pivot logic prioritizes major swings based on % span
Auto-orients retracements depending on trend direction
Customizable visibility and color for each Fibonacci level
Supports 0.236 → 1.618 levels, with optional auto-extension in uptrend scenarios
Displays ratio + price for each level label
3. Pivot Labels
Optionally show pivot high/low labels with customizable text and background colors
Independent control of left/right length and label style
4. Moving Averages
Up to three customizable MAs (default: 8 EMA, 21 EMA, 50 SMA)
Choose between EMA or SMA for each
Toggle individual or all moving averages
Adjustable lengths, colors, and line widths
5. Alerts
Built-in alert condition for price crossing a user-defined level
Clean alert message format with ticker symbol and live price
⚙️ Customization
Flexible style controls for lines, labels, and colors
Adjustable right-extension length for projecting levels
Font size and visibility toggles for all elements
Smart grouping for intuitive settings management
📈 Ideal For
Identifying key reversal or breakout zones
Spotting Fibonacci confluence between retracements and prior highs/lows
Tracking trend structure via multi-timeframe MAs
Swing traders, intraday traders, and technical analysts
💡 Summary
Key-Levels – D/W/M High-Low + Fib + MA is a professional-grade indicator designed to simplify complex multi-timeframe analysis.
It helps you see the bigger picture, find actionable zones, and trade with confidence.
🧩 Compatible with any market and timeframe.
AMF PG Strategy v2.3 The AMF PG Strategy (Praetorian Guard) is an advanced trading system designed to seamlessly adapt to market conditions. Its unique structure balances precise entries with intelligent protection, giving traders confidence in both trending and volatility environments.
Key points include:
Adaptive Core (AMF Engine) – A dynamic framework that automatically adjusts for clearer long- and short-term opportunities and generates a robust tracking line.
Praetorian Guard – A built-in protective shield that activates in extreme conditions and helps stabilize performance when markets become turbulent.
Versatility – Effective across multiple timeframes, from scalping to swing trading, without constant parameter adjustments.
Clarity – Clear visual signals and color-coded monitoring for instant decision-making.
This strategy is designed for traders who want more than just entries and exits; it offers a command center for disciplined, adaptable, and resilient trading.
Disclaimer:
It should be noted that no strategy is guaranteed. This strategy does not provide buy-sell-hold advice. Responsibility rests with the user.
Version 2.3: Bugs overlooked in Version 2 have been corrected and improvements have been made.
HTF & PD/PM LevelsTired of mapping your own levels every morning? Look no further! This script automatically maps out and updates HTF & PD/PM Levels along with ATH. I personally use these as confirmation zones with EMA & VWAP, RSI, and Volume... but alone, these levels mark major support and resistances.
What are they?
🏰 HTF Levels — “Big Grown-Up Lines”
HTF = Higher Time Frame
Think of your price chart like a big map. HTF levels are the important lines from bigger chunks of time:
>Daily (yesterday’s close, high, low)
>Weekly (this week’s open, high, low, close)
>Monthly (this month’s open/close)
Why they matter:
These are like big walls and floors that price often bounces off or stops at. Big traders (institutions) watch them because they show where a lot of buying or selling happened before.
⏰ PD & PM Levels — “Yesterday & Morning Clues”
PD = Previous Day
>PDH = Previous Day’s High
>PDL = Previous Day’s Low
>PDC = Previous Day’s Close
PM = Pre-Market
>PMH = Pre-Market High
>PML = Pre-Market Low
>ATH = All-Time High
Why they matter:
These tell you where price moved when most regular traders weren’t awake yet (pre-market) and where it ended up yesterday. Price often revisits or reacts to these spots.
⚡ How Options Traders Use Them
Support & Resistance:
If price is near an HTF or PD/PM level, it might stop and turn around there (like a ball hitting a wall) or it might use it as a launchpad to the next level if it breaks.
Entry & Exit Spots:
Traders might buy calls (bet price goes up) if it breaks above an important level, or puts (bet price goes down) if it breaks below.
Risk Management:
These levels give clear spots to set stops and targets — “If price breaks this level, I’m out.”
Super Simple Picture:
HTF = big important levels from days, weeks, months.
PD/PM = yesterday’s and morning’s clues where price already moved.
Traders use them to guess where price might bounce or break to plan option trades safely.
Turn your back on me Scar ~_^What it does
Multi-timeframe support/resistance built from confirmed swing pivots on the timeframes you enable (5m, 15m, 1H, 4H, 1D, 1W). Levels are timeframe-invariant: the same prices show up whether you view the chart on 1m, 5m, 15m, 1H, 4H, 1D, or 1W.
How it works (simple)
Finds confirmed pivot highs/lows in each selected TF (no lookahead).
Brings those pivot prices to your chart and stores them as S/R candidates.
Optionally merges near-duplicate levels (within N ticks).
Draws up to X past levels per side (you choose the number).
Each line can show a small TF tag (e.g., “1H R”, “15m S”) so you know where it came from.
Why it stays the same across chart TFs
The “last pivots” are counted inside each source timeframe first, then displayed—so a 5m level is the same number no matter which chart timeframe you’re on.
Inputs
Pivot Left / Right – strictness of swing confirmation.
Enable TFs – 5m, 15m, 1H, 4H, 1D, 1W. (No 30m in this version.)
How many past levels per side – choose 5, 50, 500, etc.
Merge levels within N ticks – reduces clutter by combining overlapping lines.
Colors & widths – separate styling for Support/Resistance.
Show TF labels – toggle small tags on each line.
Notes & tips
Uses confirmed pivots; once a pivot is confirmed, its line does not repaint (new pivots will appear after right bars).
If you crank past levels very high with many TFs enabled, you may hit TradingView’s drawing limits—lower the count or increase merge ticks.
Works on any symbol and timeframe; outputs are consistent across chart TFs by design.
This script focuses only on S/R (no HH/HL/LH/LL, BOS/CHOCH, FVGs, or order blocks).
Disclaimer
For education only—always confirm levels with your own analysis and risk management.
MIO TEMA + MACD Divergence Proexperiment, gives divergence signals to let u know of possible change of trend, also includes 3 MAs, to have less indicators
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.
Multi-Symbol and Multi-Timeframe Supertrend Screener [Pineify]Multi-Symbol and Multi-Timeframe Supertrend Screener
Advanced Supertrend screener for TradingView that monitors 6 symbols across 4 timeframes simultaneously. Features customizable ATR periods, visual alerts, and color-coded trend direction displays for efficient market scanning.
Key Features
The Supertrend Screener is a comprehensive multi-symbol market monitoring tool that displays Supertrend indicator signals across multiple assets and timeframes in a single, organized table view. This screener eliminates the need to manually check individual charts by providing real-time trend analysis for up to 6 symbols across 4 different timeframes simultaneously.
How It Works
The screener utilizes the proven Supertrend indicator methodology, which combines Average True Range (ATR) and price action to determine trend direction. The core calculation involves:
Computing the ATR using a customizable period (default: 10)
Applying a multiplication factor (default: 3.0) to create dynamic support/resistance levels
Determining trend direction based on price position relative to these levels
Displaying results through color-coded cells with customizable text labels
The indicator employs the request.security() function to fetch data from multiple symbols and timeframes, ensuring accurate cross-market analysis without chart switching.
Trading Ideas and Insights
This screener excels in several trading scenarios:
Market Overview: Quickly assess overall market sentiment across major cryptocurrencies or forex pairs
Trend Confirmation: Verify trend alignment across multiple timeframes before entering positions
Divergence Spotting: Identify when shorter timeframes diverge from longer-term trends
Opportunity Scanning: Locate assets showing consistent trend direction across all monitored timeframes
Risk Management: Monitor multiple positions simultaneously to spot potential trend reversals
The screener is particularly effective for swing traders and position traders who need to monitor multiple assets without constantly switching between charts.
How Multiple Indicators Work Together
While this screener focuses specifically on the Supertrend indicator, it incorporates several complementary technical analysis components:
ATR Foundation: Uses Average True Range to adapt to market volatility, making the indicator responsive to current market conditions
Multi-Timeframe Analysis: Combines signals from 1-minute, 5-minute, 10-minute, and 30-minute timeframes to provide comprehensive trend perspective
Price Action Integration: The Supertrend calculation inherently incorporates price action by using high, low, and close values
Volatility Adjustment: The ATR-based calculation ensures the indicator adapts to different volatility regimes across various assets
The synergy between these elements creates a robust screening system that accounts for both momentum and volatility , providing more reliable trend identification than single-timeframe analysis.
Unique Aspects
Several features distinguish this screener from standard Supertrend implementations:
Table-Based Display: Presents data in an organized, space-efficient format rather than overlay plots
Customizable Visual Elements: Full control over text labels, colors, and background styling
Multi-Asset Capability: Monitors 6 different symbols simultaneously without performance degradation
Efficient Resource Usage: Optimized code structure minimizes calculation overhead
Professional Presentation: Clean, institutional-grade visual design suitable for trading desks
How to Use
Symbol Configuration: Input your desired symbols in the Symbol section (default includes major crypto pairs)
Timeframe Setup: Configure four timeframes for analysis (default: 1m, 5m, 10m, 30m)
Supertrend Parameters: Adjust the Factor (sensitivity) and ATR Period according to your trading style
Visual Customization: Set custom text labels and colors for up/down trends
Market Analysis: Monitor the table for consistent signals across timeframes and symbols
Interpretation Guide:
- Green cells indicate uptrend (price above Supertrend line)
- Red cells indicate downtrend (price below Supertrend line)
- Look for alignment across multiple timeframes for stronger signal confidence
Customization
The screener offers extensive customization options:
Factor Setting: Adjust sensitivity (higher values = less sensitive, fewer signals)
ATR Period: Modify lookback period for volatility calculation
Text Labels: Customize up/down trend display text
Color Scheme: Full RGB color control for text and background elements
Symbol Selection: Monitor any TradingView-supported symbols
Timeframe Array: Choose any four timeframes for comprehensive analysis
Conclusion
The Supertrend Screener transforms traditional single-chart analysis into an efficient, multi-dimensional market monitoring system. By combining the reliability of the Supertrend indicator with multi-timeframe and multi-symbol capabilities, this tool empowers traders to make more informed decisions with greater market context.
Whether you're managing multiple positions, scanning for new opportunities, or confirming trend direction before entries, this screener provides the comprehensive overview needed for professional trading operations. The clean interface and customizable features make it suitable for traders of all experience levels while maintaining the analytical depth required for serious market analysis.
Perfect for day traders, swing traders, and anyone requiring efficient multi-market trend monitoring in a single view.
Chikou (Lagging line) vs Price26, IchimokuFor Ichimoku strategy in chart or/also in screens.
Checks if Lagging line actual value is above or below price 26 periods ago.
In superchart label is shown describing if over or below. Colour green/red.
/Håkan from Sweden
TLM HTF CandlesTLM HTF Candles
Higher timeframe candles displayed on your current chart, optimized for The Lab Model (TLM) trading methodology.
What It Does
Plots up to 6 HTF candles side-by-side on the right of your chart with automatic swing detection, expansion bias coloring, and a quick-reference info table. Watch multiple timeframes at once without switching charts.
Swing Detection - Solid lines for confirmed swings, dashed for potential swings. Detects when HTF levels get swept and rejected.
Expansion Bias - Candles colored green (bullish), red (bearish), or orange (conflicted) based on 3-candle patterns showing expected price expansion.
HTF Info Table - Compact dashboard showing time to close, active swings, and expansion direction for all timeframes. Toggle dark/light mode.
Equilibrium Lines - 50% midpoint from previous candle to current, great for mean reversion targets.
Based on "ICT HTF Candles" by @fadizeidan -
Heavily customized with swing analysis, expansion patterns, and info table for TLM trading concepts.
Triple Gaussian Smoothed Ribbon [BOSWaves]Triple Gaussian Smoothed Ribbon – Adaptive Gaussian Framework
Overview
The Triple Gaussian Smoothed Ribbon is a next-generation market visualization framework built on the principles of Gaussian filtering - a mathematical model from digital signal processing designed to remove noise while preserving the integrity of the underlying trend.
Unlike conventional moving averages that suffer from phase lag and overreaction to volatility spikes, Gaussian smoothing produces a symmetrical, low-lag curve that isolates meaningful directional shifts with exceptional clarity.
Developed under the Adaptive Gaussian Framework, this indicator extends the classical Gaussian model into a multi-stage smoothing and visualization system. By layering three progressive Gaussian filters and rendering their interactions as a gradient-based ribbon field, it translates market energy into a coherent, visually structured trend environment. Each ribbon layer represents a progressively smoothed component of price motion, producing a high-fidelity gradient field that evolves in sync with real-time trend strength and momentum.
The result is a uniquely fluid trend and reversal detection system - one that feels organic, adapts seamlessly across timeframes, and reveals hidden transitions in market structure long before traditional indicators confirm them.
Theoretical Foundation
The Gaussian filter, derived from the Gaussian function developed by Carl Friedrich Gauss in 1809, operates on the principle of weighted symmetry, assigning higher importance to central price data while tapering influence toward historical extremes following a bell-curve distribution. This symmetrical design minimizes phase distortion and smooths without introducing lag spikes — a stark contrast to exponential or linear filters that sacrifice temporal accuracy for responsiveness.
By cascading three Gaussian stages in sequence, the indicator creates a multi-frequency decomposition of price action:
The first stage captures immediate trend transitions.
The second absorbs mid-term volatility ripples.
The third stabilizes structural directionality.
The final composite ribbon reflects the market’s dominant frequency - a smoothed yet reactive trend spine - while an independent, heavier Gaussian smoothing serves as a reference layer to gauge whether the primary motion leads or lags relative to broader market structure.
This multi-layered Gaussian framework effectively replicates the behavior of a signal-processing filter bank: isolating meaningful cyclical movements, suppressing random noise, and revealing phase shifts with minimal delay.
How It Works
Triple Gaussian Core
Price data is passed through three successive Gaussian smoothing stages, each refining the trend further and removing higher-frequency distortions.
The result is a fluid, continuously adaptive baseline that responds naturally to directional changes without overshooting or flattening key inflection points.
Adaptive Ribbon Architecture
The indicator visualizes its internal dynamics through a five-layer gradient ribbon. Each layer represents a progressively delayed Gaussian curve, creating a color field that dynamically shifts between bullish and bearish tones.
Expanding ribbons indicate accelerating momentum and trend conviction.
Compressing ribbons reflect consolidation and volatility contraction.
The smooth color gradient provides a real-time depiction of energy buildup or dissipation within the trend, making it visually clear when the market is entering a state of expansion, transition, or exhaustion.
Momentum-Weighted Opacity
Ribbon transparency adjusts according to normalized momentum strength.
As trend force builds, colors intensify and layers become more opaque, signifying conviction.
When momentum wanes, ribbons fade - an early visual cue for potential reversals or pauses in trend continuation.
Candle Gradient Integration
Optional candle coloring ties the chart’s candles to the prevailing Gaussian gradient, allowing traders to view raw price action and smoothed wave dynamics as a unified system.
This integration produces a visually coherent chart environment that communicates directional intent instantly.
Signal Detection Logic
Directional cues emerge when the smoother, broader Gaussian curve crosses the faster-reacting Gaussian line, marking structural inflection points in the filtered trend.
Bullish shifts : short-term momentum transitions upward through the long-term baseline after a localized trough.
Bearish shifts : momentum declines through the baseline following a local peak.
To maintain integrity in choppy markets, the framework applies a trend-strength and separation filter, which blocks weak or overlapping conditions where movement lacks conviction.
Interpretation
The Triple Gaussian Smoothed Ribbon provides a layered, intuitive read on market structure:
Trend Continuation : Expanding ribbons with deep color intensity confirm directional strength.
Reversal Phases : Color gradients flip direction, indicating a phase shift or exhaustion point.
Compression Zones : Tight, pale ribbons reveal equilibrium phases often preceding breakouts.
Momentum Divergence : Fading color intensity despite continued price movement signals weakening conviction.
These transitions mirror the natural ebb and flow of market energy - captured through the Gaussian filter’s ability to represent smooth curvature without distortion.
Strategy Integration
Trend Following
Engage during strong directional expansions. When ribbons widen and color gradients intensify, the trend is accelerating with high confidence.
Reversal Identification
Monitor for full gradient inversion and fading momentum opacity. These conditions often precede transitional phases and early reversals.
Breakout Anticipation
Flat, compressed ribbons signal low volatility and energy buildup. A sudden gradient expansion with renewed opacity confirms breakout initiation.
Multi-Timeframe Alignment
Use higher timeframes to establish directional bias and lower timeframes for entry during compression-to-expansion transitions.
Technical Implementation Details
Triple Gaussian Stack : Sequential smoothing stages produce low-lag, high-purity signals.
Adaptive Ribbon Rendering : Five-layer Gaussian visualization for gradient-based trend depth.
Momentum Normalization : Opacity dynamically tied to trend strength and volatility context.
Consolidation Filter : Suppresses false signals in low-energy or range-bound conditions.
Integrated Candle Mode : Optional color synchronization with underlying gradient flow.
Alert System : Built-in notifications for bullish and bearish transitions.
This structure blends the precision of digital signal processing with the readability of visual market analysis, creating a clean but information-rich framework.
Optimal Application Parameters
Asset Recommendations
Cryptocurrency : Higher smoothing and sigma for stability under volatility.
Forex : Balanced parameters for cycle identification and reduced noise.
Equities : Moderate Gaussian length for responsive yet stable trend reads.
Indices & Futures : Longer smoothing periods for structural confirmation.
Timeframe Recommendations
Scalping (1 - 5m) : Use shorter smoothing for fast reactivity.
Intraday (15m - 1h) : Mid-length Gaussian chain for balance.
Swing (4h - 1D) : Prioritize clarity and opacity-driven trend phases.
Position (Daily - Weekly) : Longer smoothing to capture macro rhythm.
Performance Characteristics
Most Effective In :
Trending markets with recurring volatility cycles.
Transitional phases where early directional confirmation is crucial.
Less Effective In:
Ultra-low volume markets with erratic tick data.
Random, micro-chop conditions with no structural flow.
Integration Guidelines
Pair with volatility or volume expansion tools for enhanced breakout confirmation.
Use ribbon compression to anticipate volatility shifts.
Align entries with gradient expansion in the dominant color direction.
Scale position size relative to opacity strength and ribbon width.
Disclaimer
The Triple Gaussian Smoothed Ribbon – Adaptive Gaussian Framework is designed as a signal visualization and trend interpretation tool, not a standalone trading system. Its accuracy depends on appropriate parameter tuning, contextual confirmation, and disciplined risk management. It should be applied as part of a comprehensive technical or algorithmic trading strategy.
Trend Pivots Profile [BigBeluga]🔵 OVERVIEW
The Trend Pivots Profile is a dynamic volume profile tool that builds profiles around pivot points to reveal where liquidity accumulates during trend shifts. When the market is in an uptrend , the indicator generates profiles at low pivots . In a downtrend , it builds them at high pivots . Each profile is constructed using lower timeframe volume data for higher resolution, making it highly precise even in limited space. A colored trendline helps traders instantly recognize the prevailing trend and anticipate which type of profile (bullish or bearish) will form.
🔵 CONCEPTS
Pivot-Driven Profiles : Profiles are only created when a new pivot forms, aligning liquidity analysis with market structure shifts.
Trend-Contextual : Profiles form at low pivots in uptrends and at high pivots in downtrends.
Lower Timeframe Data : Volume and close values are pulled from smaller timeframes to provide detailed, high-resolution profiles inside larger pivot windows.
Adaptive Bin Sizing : Bin size is automatically calculated relative to ATR, ensuring consistent precision across different markets and volatility conditions.
Point of Control (PoC) : The highest-volume level within each profile is marked with a PoC line that extends until the next pivot forms.
Trendline Visualization : A wide, semi-transparent line follows the rolling average of highs and lows, colored blue in uptrends and orange in downtrends.
🔵 FEATURES
Pivot Length Control : Adjust how far back the script looks to detect pivots (e.g., length 5 → profiles cover 10 bars after pivot).
Pivot Profile toggle :
On → draw the filled pivot profile + PoC + pivot label.
Off → hide profiles; show only PoC level (clean S/R mode).
Trend Length Filter : Smooths trendline detection to ensure reliable up/down bias.
Precise Volume Distribution : Volume is aggregated into bins, creating a smooth volume curve around the pivot range.
PoC Extension : Automatically extends the most active price level until a new pivot is confirmed.
Profile Visualization : Profiles appear as filled shapes anchored at the pivot candle, colored based on trend.
Trendline Overlay : Thick, semi-transparent trendline provides visual guidance on directional bias.
Automatic Cleanup : Old profiles are deleted once they exceed the chart’s capacity (default 25 stored profiles).
🔵 HOW TO USE
Spotting Trend Liquidity : In an uptrend, monitor profiles at low pivots to see where buyers concentrated. In downtrends, use high-pivot profiles to spot sell-side pressure.
Watch the PoC : The PoC line highlights the strongest traded level of the pivot structure—expect reactions when price retests it.
Anticipate Trend Continuation/Reversal : Use the trendline (blue = bullish, orange = bearish) together with pivot profiles to forecast directional momentum.
Combine with HTF Context : Overlay with higher timeframe structure (order blocks, liquidity zones, or FVGs) for confluence.
Fine-Tune with Inputs : Adjust Pivot Length for sensitivity and Trend Length for smoother or faster trend shifts.
🔵 CONCLUSION
The Trend Pivots Profile blends pivot-based structure with precise volume profiling. By dynamically plotting profiles on pivots aligned with the prevailing trend, highlighting PoCs, and overlaying a directional trendline, it equips traders with a clear view of liquidity clusters and directional momentum—ideal for anticipating reactions, pullbacks, or breakouts.
CVD Pro – Smart Overlay + Signals (with Persist Mode)What this Indicator Does
CVD Pro visualizes Cumulative Volume Delta (CVD) data directly on your main price chart — helping you detect real buying vs. selling pressure in real time.
Unlike most CVD scripts that run in a separate subwindow, this one overlays price-mapped CVD curves on the candles themselves for better confluence with market structure and FVG zones.
The script dynamically scales normalized CVD values to the price range and uses adaptive smoothing and deviation bands to highlight shifts in trader behavior.
It also includes automatic bullish/bearish crossover signals, displayed as on-chart labels.
⚙️ Main Features
✅ Price-mapped CVD Overlay
CVD is normalized (Z-score) and projected onto the price chart for easy visual correlation with price structure.
✅ Multi-Timeframe Presets
Three sensitivity presets optimized for different chart environments:
Strict (4H) → Best for macro trends and high-timeframe structure.
Balanced (1H / 30m) → Great for active swing setups.
Sensitive (15m) → Captures short-term intraday reversals.
✅ Dynamic Bands & Smoothing
Deviation bands visualize statistical extremes in delta pressure — helping to identify exhaustion and divergence points.
✅ Smart Buy/Sell Signal Logic
Automatic label triggers when the CVD Overlay crosses its smoothed baseline:
🟢 BULL LONG → Rising CVD above the mean (buyers in control).
🔴 BEAR SHORT → Falling CVD below the mean (sellers in control).
✅ Persist Mode
Toggle to keep the last signal visible until a new one forms — ideal for traders who prefer clean chart annotations without noise.
✅ Clean, Minimal Overlay
Everything happens directly on your chart — no extra windows, no clutter. Designed for use with Smart Money Concepts, Fair Value Gaps (FVGs), or volume imbalance setups.
🧩 Use Case
CVD Pro is designed for traders who:
Use Smart Money Concepts (SMC) or ICT-style trading
Watch for FVG reactions, breaker blocks, and liquidity sweeps
Need to confirm order flow direction or momentum strength
Trade intraday or swing setups with precision entries and clear bias confirmation
⚡ Recommended Settings
4H / 1H: Use Strict mode for major structure and confirmation.
1H / 30m: Balanced mode for clear mid-term trend alignment.
15m: Sensitive mode to catch scalps and lower-TF shifts.
🧠 Pro Tips
Combine with RSI or Market Structure Breaks (MSS) for additional confluence.
A strong CVD divergence near a key FVG or 0.5–0.705 Fibonacci zone often signals reversal.
Persistent CVD crossover + price structure break = high-probability entry.
🧩 Credits
Created by Patrick S. ("Nova Labs")
Concept inspired by professional order-flow analytics and adaptive Z-Score normalization.
Would you like me to write a shorter “public summary” paragraph (for the short description at the top of TradingView, the one-liner users see before expanding)?
It’s usually a 2–3 sentence hook like:
“Overlay-based CVD indicator that merges volume delta with price structure. Detect true buying/selling pressure using adaptive normalization, deviation bands, and clean bullish/bearish crossover signals.”
Higher Timeframe Bias and DOLAn indicator which looks at the most recent FVG and, assuming it's been respected, provides a bias flag on the 1H, 4H and Daily levels.
Elipli5648This indicator displays two moving averages on the same chart — the 9-period and 200-period simple moving averages (SMA).
Both lines are customizable in color and line width directly from the settings menu.
Useful for identifying short-term vs long-term trend direction.
Fib Retrace + Extensions (v6– safe version) v 1🌀 Fib Extension Plus Retracement Strategy: Complete Overview
📊 Purpose and Core Idea
The Fib Extension Plus Retracement Strategy is a hybrid price-action methodology that blends Fibonacci Retracement and Fibonacci Extension tools to map high-probability entry, exit, and target zones within trending markets.
It is designed for precision timing, measured risk exposure, and trend-continuation trading.
By uniting both retracement and extension logic, traders can capture the entire lifecycle of a move — from the pullback phase to the breakout and projected expansion wave.
elipli5648 , MA 9 & 200 (Combined) — clean versionThis indicator displays two moving averages on the same chart — the 9-period and 200-period simple moving averages (SMA).
Both lines are customizable in color and line width directly from the settings menu.
Useful for identifying short-term vs long-term trend direction.
NS ND - EVR - Daily Bias - TRFxVolume & Price Action Signals
What It Does
Combines three proven trading methodologies: Effort vs Result (EVR), No Supply/No Demand (NS/ND), and Daily Bias tracking for intraday traders.
Features
Effort vs Result (EVR)
- **Bullish**: Green triangle below bar when price sweeps previous low with high volume and significant wick
- **Bearish**: Red triangle above bar when price sweeps previous high with high volume and significant wick
- Identifies potential reversals where volume doesn't match price movement
No Supply / No Demand (NS/ND)
- **No Demand (Red dot)**: Up-candle with declining volume - buyers weakening
- **No Supply (Green dot)**: Down-candle with declining volume - sellers weakening
- Grey dots = unconfirmed, colored dots = confirmed within lookahead period
- Based on Volume Spread Analysis (VSA) principles
Daily Bias Label
Top-right corner shows market direction:
- **BULLISH ↑** - Closed above Previous Day High
- **BEARISH ↓** - Closed below Previous Day Low
- **BULLISH/BEARISH REV** - Swept level but closed back inside
- **RANGE ↔** - Trading between PDH/PDL
## Settings
- **EVR**: Toggle on/off, volume multiplier, wick %, inside bars, transparency
- **NS/ND**: Toggle on/off, lookahead bars (default: 10)
- **Daily Bias**: Toggle label display
## Best For
✓ Intraday trading (1m-1h timeframes)
✓ Reversal setups
✓ Volume analysis
✓ Confluence trading (all signals align)
How to Use
1. Enable components you want (all can be toggled independently)
2. Trade EVR signals in direction of Daily Bias
3. Look for NS/ND confirmation at key levels
4. Wait for colored dots (confirmed signals) over grey (unconfirmed)
**Note**: Works on intraday timeframes only. NS/ND signals may repaint during confirmation period.
Reversal Nexus Pro Suite — Smart Scalper/Swing Trader/Hybrid 📝 Description
The Reversal Suite (5–15m) is a dynamic price-action-driven indicator built for scalpers and intraday traders who want to catch high-probability reversals with precision.
This system combines SFP (Swing Failure Patterns), Volume Climax filters, EMA bias, and momentum confirmation logic — all customizable to match your personal trading style.
The default configuration is tuned for NASDAQ futures (NQ1!) and similar indices on 5–15-minute charts, but it can adapt seamlessly to crypto, forex, and equities.
⚙️ How It Works
The indicator looks for exhaustion points in price where:
Volume Climax confirms liquidity sweeps,
EMA bias determines directional filters (single or dual-EMA),
Reclaim and rejection mechanics confirm structure shifts,
Momentum thrust ensures strength on reversal confirmation.
Each setup requires multi-factor alignment to reduce noise and increase signal precision.
🧩 Default Custom Settings (Recommended Start)
Setting Value Description
Mode Custom Enables full manual control
Signals must align within N bars 6 Forces confluence across recent bars
TP1 / TP2 (R-Multiples) 1.5 / 2.5 Default reward zones
RSI Divergence Enabled Adds secondary reversal confirmation
Volume Climax Enabled Detects high-volume exhaustion
Vol SMA Length 21 Volume baseline calculation
Climax ≥ k × SMA 7 Strength multiplier for volume spikes
EMA Length 200 Trend bias reference
Bias Both Allows both long and short setups
Dual EMA Bias Enabled Uses fast (21) vs slow (100) bias tracking
Min Distance from EMA Bias 2.55% Filter to avoid signals too close to MAs
Reclaim Buffer After Sweep 0.22% Ensures valid break-and-reclaim setups
Max Bars for Retest 1 Tight retest condition
Momentum Thrust Confirm Enabled Ensures volume and price thrust
Body ≥ ATR -6 Controls candle thrust sizing
TR SMA Length 20 Measures dynamic volatility
Body ≥ k × TR-SMA -4.4 Confirms structure-based rejection
Opposite-Signal Exit Enabled Auto-clears opposite signals
Opposite Signal Window 5 bars Short-term conflict filter
Swing Lookback (SFP) 2 Finds recent liquidity highs/lows
Cooldown Bars After Signal 8 Prevents over-triggering
🟢 Inputs are fully adjustable, so traders can optimize for:
Scalping (lower EMA, smaller swing lookback)
Swing trading (higher EMA, larger retest window)
Aggressive vs conservative confirmations
🧭 Recommended Use
Works best on 5m–15m timeframes
Pair with VWAP or EMA cloud overlays for directional context
Use Trend Guard to align only with higher-timeframe trend
Ideal for indices, forex majors, and large-cap stocks
🚀 Highlights
✅ Smart confluence-based reversal detection
✅ Built-in retest and rejection logic
✅ Dual EMA and volume climax filters
✅ Customizable momentum thrust confirmation
✅ Optimized for scalpers and intraday swing traders
🧱 Suggested Layout
Chart type: Candlestick
Timeframe: 5m or 15m
Overlay: VWAP / EMA Cloud / ORB Zone
Optional filters: ATR Bands, Volume Profile (VPVR), Session Boxes
⚠️ Disclaimer
The Reversal Nexus Pro indicator is provided for educational and informational purposes only. It is not financial advice and should not be interpreted as a recommendation to buy, sell, or trade any financial instrument.
Trading involves significant risk and may not be suitable for all investors. Past performance does not guarantee future results. Always perform your own analysis and use proper risk management before placing any trades.
The author of this script is not responsible for any financial losses or decisions made based on the use of this tool.
By using this indicator, you acknowledge that you understand these terms and accept full responsibility for your own trading results.
© 2025. All rights reserved. Redistribution or resale of this indicator, in full or in part, is strictly prohibited without the author’s written consent.
