BAVC (Clone) Rolling Curves, Peak MarkersBAVC (Clone) — Rolling Curves + Peak Markers
BAVC (Clone) is a volume-based momentum and participation indicator designed to visualize aggressive buying vs aggressive selling pressure using rolling volume curves and structural peak detection.
This script is a functional clone of a Bid/Ask Volume Curve concept, implemented using approximated volume splitting (uptick/downtick or close vs open) so it works on standard TradingView data without requiring true bid/ask feeds.
What the Indicator Shows
1. Rolling Buy & Sell Volume Curves
Volume is split into Buy (aggressive buyers) and Sell (aggressive sellers) using a selectable approximation method.
Each side is accumulated over a configurable lookback window.
Optional EMA smoothing is applied to reduce noise and highlight participation trends.
Interpretation:
Rising Buy Curve → increasing buyer dominance
Rising Sell Curve → increasing seller dominance
Expanding separation → stronger directional conviction
Convergence / flattening → balance, absorption, or transition
2. Adaptive Color Intensity (Optional)
Curve opacity can remain fixed or
Automatically adapt based on relative dominance strength
Stronger imbalances visually stand out without adding extra indicators
3. Structural Peak & Trough Detection
The script identifies significant local extremes in both curves:
Buy-side peaks & troughs
Sell-side peaks & troughs
Each peak is filtered using:
Swing width (bars left/right)
Relative strength vs recent maximum
Minimum depth for troughs
Markers can be displayed as:
Circles directly on the curves, or
Minimal labels (▲ / ▼)
Interpretation:
Buy-side highs → possible exhaustion or distribution
Buy-side lows → loss of initiative / absorption
Sell-side highs → aggressive selling climax
Sell-side lows → selling pressure weakening
4. Alerts
Optional alerts fire when:
A significant Buy-side peak forms
A significant Buy-side trough forms
A significant Sell-side peak forms
A significant Sell-side trough forms
These are intended as contextual signals, not standalone trade triggers.
5. Status Line Helper
An optional real-time status label displays:
Lookback settings
Current rolling Buy and Sell volume sums
This is useful for quick confirmation without opening the settings panel.
Important Notes
This indicator uses volume behavior, not price.
It is best used as a confirmation tool alongside:
Structure
Time-based context
VWAP / trend filters
It does not generate buy or sell signals by itself.
Best Use Cases
Spotting institutional participation
Confirming trend strength or exhaustion
Identifying absorption before reversals
Filtering low-quality entries during choppy periods
Zmienność
Complete G4 | CG4 (DTD)This script was built with the intention of improving day trading capabilities for the Futures market, namely for NQ.
The novelty of the script are the Ghetto Fibonacci Opening Range Retracement (G4) levels themselves and HOW they are calculated, providing Fibonacci pivot projections after the first 1-minute candle of the day. It is believed and understood that some major algorithms establish their positions within the first 30 seconds, defining a traded range for the day. With the help of some familiar Fibonacci levels and some custom ones, we can identify strong potential areas of support and resistance throughout the session. This process is repeated at New York and Globex open to obtain the projected full daily candle range for a futures instrument.
To support trade location context, signal alerts are provided for candles that interact with the lines given certain criteria. Some of the criteria deals with previous data such as high, low, open, and close, relative to the last N candles. An ATR gate is included and adjustable to filter for candle significance as well. The intention is to turn the indicator into a strategy that is used for algorithmic trading.
To make this indicator more of a one-stop-shop, I've also added some other public scripts as optionable toggles, but extremely helpful to build context for trade bias. Both SHLFE ( ) and Order Block ( ) indicators were added, with the Order Block indicator getting a buff that allows users to pick a second timeframe to display recent order blocks.
I do recommend starting with just the G4 lines in the beginning to learn how to read price action around the lines, then adding in the context from the other two indicators:
There will be many updates to come that improves functionality and reliability of the trade signals with improved logic.
Access will be temporary until the end of Q1 2026.
'Then Jesus said, “Come to me, all of you who are weary and carry heavy burdens, and I will give you rest. Take my yoke upon you. Let me teach you, because I am humble and gentle at heart, and you will find rest for your souls. For my yoke is easy to bear, and the burden I give you is light.”'
Matthew 11:28-30
Dual-Timeframe ABR DashboardDual-Timeframe ABR Dashboard 是一款专为日内交易者设计的波动率参考工具，用于同时评估当前周期与日线级别的平均K线波幅（ABR）。
该指标基于 Average Bar Range（高低差的简单平均），帮助交易者快速判断：
单根K线的“正常”波动范围
当前价格相对于 ABR 的百分比位置
当日是否已接近日线级别的常规波动极限
指标不会在图表上绘制干扰性线条，而是通过状态栏与固定表格实时展示最新 ABR 数值，适合用于：
目标利润（TP）与止盈管理
趋势是否具备延续空间的判断
避免在“已走完波幅”的位置追价入场
这是一个为实盘决策服务，而非视觉美观的专业级日内交易辅助指标。
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Dual-Timeframe ABR Dashboard is a volatility reference tool designed specifically for day traders, providing a clear view of Average Bar Range (ABR) on both the current timeframe and the daily timeframe.
By measuring the simple average of each bar’s high–low range, this indicator helps traders quickly assess:
What constitutes a “normal” bar movement on the active timeframe
Current price movement expressed as a percentage of ABR
Whether the session has already consumed most of its typical daily range
Instead of plotting lines on the chart, the indicator presents real-time ABR values via the status line and a fixed dashboard table, keeping the chart clean and execution-focused.
This tool is particularly useful for:
Profit target and trade management
Evaluating remaining trend potential during the session
Avoiding late entries after the daily range is largely exhausted
Built for practical intraday decision-making, not visual clutter.
Volume Weighted ATRThis script implements a Volume‑Weighted Average True Range (VWATR) indicator, a variation of ATR that incorporates trading volume into the volatility calculation. Instead of treating all price movements equally, it amplifies true range during high‑volume periods and dampens it during low‑volume periods, producing a volatility measure that adapts to liquidity conditions. The script begins by allowing the user to choose a lookback length and a smoothing method, offering RMA, SMA, EMA, or WMA for flexibility in how responsive the indicator should be.
The core of the calculation starts with the standard true range, which captures the most meaningful price movement of each bar. This true range is then multiplied by volume, creating a volume‑weighted true range that gives more importance to bars where market participation is higher. To ensure consistency, the script defines a custom moving‑average function that applies the selected smoothing method to any input series. This function is used twice: once to smooth the volume‑weighted true range and once to smooth volume itself.
The final VWATR value is obtained by dividing the smoothed volume‑weighted true range by the smoothed volume. Mathematically, this produces a volume‑weighted mean of true range, making the indicator more sensitive to volatility expansions that occur with strong participation and less reactive to low‑volume noise. The script concludes by plotting this VWATR line, giving traders a clean, adaptive measure of volatility that can be used for regime detection, breakout confirmation, or dynamic stop sizing
Quantum Wolf Model Options CoreQuantum Wolf Model — Options Core
Overview
Quantum Wolf Model — Options Core is a decision-support indicator designed to assist traders with options market evaluation, risk awareness, and position sizing guidance.
The script does not place trades, does not generate automatic buy/sell orders, and does not predict future price movements.
How the Indicator Works
The model evaluates market conditions using a layered framework:
Market regime analysis to identify trend or range environments
Higher-timeframe bias alignment for directional context
Volatility assessment using ATR and implied-volatility ranking
Liquidity and volume participation to filter low-quality conditions
Session context awareness to account for active vs thin trading periods
Price-derived Greek-style sensitivity metrics (Delta, Gamma, Theta) to assess directional responsiveness, volatility expansion, and time-decay risk
These factors are combined into an internal scoring and filtering process that helps determine when options exposure may be more appropriate and how risk could be scaled based on current conditions.
Risk & Usage Notes
This indicator is for informational and analytical purposes only.
It is not financial advice and should not be used as a standalone trading system.
Options trading involves significant risk, and users are responsible for all execution and risk management decisions.
Intended Audience
Designed for traders who understand options mechanics and want an additional market-condition and risk-governance layer to support their own strategy.
Disclaimer
Past market behavior does not guarantee future results.
Use at your own discretion.
Navigator SMC & Roadmap 🗺️ Navigator Smart Money & Unified Roadmap V6
1. The Essence of the Indicator
Unlike conventional indicators that only look at the past, the Navigator SMC & Roadmap combines institutional analysis (Smart Money) with a Proportional Inertia engine. Its goal is not just to tell you what happened, but to show you the "path of least resistance" of the price, automatically adapting to the asset's actual volatility to avoid unrealistic projections.
2. Which Traders is it Recommended For?
Day Traders and Scalpers: To capture fast movements confirmed by institutional volume.
Swing Traders: To identify the macro trend and set long-term targets on daily or weekly charts.
Price Action Traders: To automate the detection of liquidity traps and market imbalances.
3. Focus Markets
Cryptocurrencies (BTC/ETH/Altcoins): Its percentage-based engine perfectly handles high volatility without distorting the data.
Forex and Commodities: Ideal for identifying the strength of trends and pullbacks to value zones.
Indices and Stocks: Excellent for filtering market noise and tracking the flow of "whales."
4. Interpreting Signals on the Chart
Institutional Line (EMA 200): This is your boundary. If it's green, the market has permission to rise. If it's red, the pressure is bearish.
Yellow X (Liquidity): This marks a "stop-loss sweep." It's the Teacher signaling that institutions have cleared the market and the price could reverse.
Diamonds (FVG): These are "fair value" zones. The price often returns to these points like a magnet to fill gaps before continuing its upward movement.
PRO BUY / PRO SELL: High-probability arrows that only appear when price, volume, and strength (RSI) are aligned.
5. How to Trade (Long/Short Strategy)
LONG Execution (Buy)
Context: The institutional line should be green.
Confirmation: The green PRO BUY arrow appears.
Target: Look at the dotted line (Roadmap) and the "Next Target" level on the board.
Safety: Place your exit point at the "Risk Zone" price on the board.
SHORT Execution (Sell)
Context: The institutional line should be red.
Confirmation: The red PRO SELL arrow appears.
Target: Follow the orange dotted path to the technical target.
Safety: Respect the "Stop Loss" level calculated by the instructor.
6. Pro Tips
The Diamond "Magnet": If the projected path is bullish but you have orange diamonds (FVG) directly below it, wait for the price to drop to touch them before buying. You'll enter at a better price.
Volume Validation: If the board says "Low Volume," be careful. The best trades occur when the Teacher confirms that there are "Active Whales."
Chart Spacing: To see the future roadmap, remember to go to Chart Settings > Canvas (or Scales) and increase the Right Margin to 20 or 30 bars.
7. Technical Specifications Memorandum
Projection Engine: Logarithmic timescale-weighted linear regression.
Target Algorithm: Based on 2 deviations of the ATR (Average True Range) for mathematical realism.
Confluence Filters: RSI (14) at the 50 level, Institutional EMA (200), and 20-period volume moving average.
Compatibility: Works from 1 minute to monthly (M) timeframes thanks to dynamic adjustment.
Gemini VPA Auto-Adaptive [Pro Dash v2.5]🇬🇧 ENGLISH: Operational Manual & Technical Specs
1. General Description
Gemini VPA Pro (Volume Price Analysis) is an advanced institutional-grade trading tool designed to decode "Smart Money" intentions. Unlike traditional volume indicators, Gemini VPA does not just measure the quantity of trades, but analyzes the dynamic relationship between Volume and Candle Spread (Price Action), identifying anomalies invisible to the naked eye.
2. Technique of Use (Operational Strategy)
The indicator paints the main chart candles (Neon Mode) and provides text-based signals on the Dashboard.
A. Color Code (Neon Candles)
🟢 NEON GREEN (PUSH LONG): Indicates a Genuine Push. High buying volume is supporting the upward movement.
Action: Ideal for Breakout entries or trend continuation.
🔴 NEON RED (PUSH SHORT): Indicates a Genuine Dump. Institutional operators are selling aggressively.
Action: Ideal for Short entries or closing Long positions.
🟡 GOLD (TRAP / CHURN): The most powerful signal. Indicates extremely high volume but a small/compressed candle. Price is being blocked (Absorption).
Action: Reversal Warning. If it appears after a long trend, it signals a "Retail Trap" and an imminent reversal.
B. The Operational Dashboard ("ACTION")
The on-screen table provides an instant summary of market status:
WAIT (Grey): Low volume, directionless market. Do not trade.
PREPARE (Orange): Volatility "Squeeze". The market is quiet but ready to explode. Prepare for entry.
PUSH LONG / SHORT (Green/Red): Trend confirmation.
TRAP ALERT (Gold): Warning of potential manipulation or reversal.
3. Realization Notes (Development)
This script was engineered in Pine Script v6 with the following technical features:
"Auto-Adaptive" Algorithm: Automatically detects the Timeframe (Scalping, Intraday, Swing) and recalibrates the indicator's sensitivity to eliminate false signals.
"High-Contrast" Visualization: Uses High-Saturation Neon/Laser colors to ensure immediate visibility of critical signals.
4. Credits & Authorship
This indicator is the result of a synergy between strategic vision and artificial intelligence.
Author of Thought & Strategy: Developed based on the technical specifications and operational vision of the Trader/Partner (©mentalExpert19609).
Technical Development & Realization: Code written, optimized, and finalized by Gemini (Google AI).
🇮🇹 ITALIANO: Manuale Operativo & Specifiche Tecniche
1. Descrizione Generale
Gemini VPA Pro (Volume Price Analysis) è uno strumento di trading istituzionale avanzato, progettato per decodificare le intenzioni del "Smart Money". A differenza degli indicatori di volume tradizionali, Gemini VPA non misura solo la quantità degli scambi, ma analizza la relazione dinamica tra il Volume e lo Spread (l'ampiezza) della candela, identificando anomalie invisibili all'occhio nudo.
2. Tecnica di Utilizzo (Strategia Operativa)
L'indicatore colora le candele del grafico (Neon Mode) e fornisce segnali testuali sulla Dashboard.
A. Codice Colori (Neon Candles)
🟢 VERDE NEON (PUSH LONG): Indica una Spinta Genuina. C'è un alto volume di acquisto che supporta un movimento rialzista.
Azione: Ideale per entrate in Breakout o continuazione di trend.
🔴 ROSSO NEON (PUSH SHORT): Indica uno Scarico Genuino. I grandi operatori stanno vendendo aggressivamente.
Azione: Ideale per entrate Short o per chiudere posizioni Long.
🟡 ORO (TRAP / CHURN): Il segnale più potente. Indica un volume altissimo ma con una candela piccola o compressa. Il prezzo è bloccato (Assorbimento).
Azione: Allerta Inversione. Se appare dopo un lungo trend, segnala una "Trappola per Retail" e un'imminente inversione.
B. La Dashboard Operativa ("ACTION")
La tabella a schermo fornisce una sintesi istantanea dello stato del mercato:
WAIT (Grigio): Volumi bassi, mercato senza direzione. Non operare.
PREPARE (Arancione): "Squeeze" di volatilità. Il mercato è fermo ma pronto a esplodere. Prepararsi all'ingresso.
PUSH LONG / SHORT (Verde/Rosso): Conferma del trend in atto.
TRAP ALERT (Oro): Avviso di possibile manipolazione o inversione.
3. Note di Realizzazione (Sviluppo)
Questo script è stato ingegnerizzato in Pine Script v6 con le seguenti caratteristiche:
Algoritmo "Auto-Adaptive": Rileva automaticamente il Timeframe (Scalping, Intraday, Swing) e ricalibra la sensibilità dell'indicatore per eliminare i falsi segnali.
Visualizzazione "High-Contrast": Utilizzo di colori Neon/Laser ad alta saturazione per garantire visibilità immediata dei segnali critici.
4. Crediti e Autorialità
Questo indicatore è il risultato di una sinergia tra visione strategica e intelligenza artificiale.
Autore del Pensiero e Strategia: Sviluppato sulla base delle specifiche tecniche e della visione operativa del Trader/Partner (© mentalExpert19609).
Sviluppo Tecnico e Realizzazione: Codice scritto, ottimizzato e finalizzato da Gemini (Google AI).
Equilibrium Reversal Channel [BOSWaves]Equilibrium Reversal Channel - Volatility-Based Risk Geometry for Mean Reversion Scenarios
Overview
The Equilibrium Reversal Channel is a volatility-weighted price channel designed to highlight statistically stretched price conditions and assist traders in identifying mean-reversion opportunities within broader market structure. The indicator is not intended to predict market direction in isolation, but rather to contextualize price movement relative to volatility, trend balance, and exhaustion zones.
At its foundation, this tool operates on the assumption that price oscillates around a dynamic equilibrium. When price deviates too far from that equilibrium - particularly under expanding volatility - the probability of a reaction, pause, or reversal increases. The Reversal Channel visualizes these deviations clearly, continuously, and without relying on fixed thresholds or static support/resistance levels.
This indicator is best used as a contextual framework, not as a standalone trading system. Its strength lies in defining where reactions are statistically more likely to occur and when price has moved far enough to warrant caution or contrarian attention.
Use Cases
Primary Use Case 1: Volatility-Anchored Trade Framing (TP / SL Construction)
The Equilibrium Reversal Channel is used to construct trade reference levels directly from live market structure and volatility behavior, rather than from arbitrary price distances.
Stop invalidation is framed around the outer displacement boundary. This boundary represents the point at which price is no longer statistically stretched but instead entering a new volatility regime, invalidating the original mean-reversion premise. In other words, if price accepts beyond this zone, the imbalance thesis is structurally broken.
Take-profit projections are derived from measured rebalancing paths back toward equilibrium, scaled using configurable payoff ratios. These projections reflect how far price typically resolves once imbalance conditions unwind, rather than relying on fixed targets or discretionary exits.
This use case turns the channel into a risk geometry tool — defining where a trade idea is wrong, where resolution is likely to occur, and whether the opportunity offers asymmetric payoff before capital is committed.
Primary Use Case 2: Identifying Statistically Stretched Price Conditions
The second core function of the Reversal Channel is identifying when price is operating far enough from its volatility-adjusted balance state to justify contrarian attention.
Sustained interaction with the outer displacement zones signals that price has entered a statistically inefficient regime. Continuation may still occur, but the marginal return on momentum decreases while reaction probability increases. The channel highlights these conditions in real time, without relying on fixed thresholds or static reference levels.
Rather than predicting reversals, this framework defines where continuation becomes fragile and where rebalancing pressure historically emerges - particularly when reinforced by higher-timeframe structure or liquidity context.
Central Basis Line (Market Equilibrium)
At the core of the Reversal Channel is a dynamically adaptive balance line derived from recent price behavior. This line represents the market’s evolving equilibrium - the point around which price naturally oscillates under normal conditions.
The balance calculation prioritizes recent market information while maintaining smooth continuity, allowing it to adjust efficiently as conditions change without overreacting to short-term noise. Rather than acting as a directional signal, this axis serves as a reference framework for measuring price displacement, volatility expansion, and rebalancing pressure.
Extended acceptance above the equilibrium suggests sustained bullish pressure, while prolonged activity below reflects bearish dominance. However, the Reversal Channel is intentionally agnostic to directional bias - its focus is on distance from balance, not trend prediction.
Volatility-Weighted Channel Construction
Surrounding the equilibrium line are three upper and three lower displacement bands, each derived from a real-time volatility normalization process. This process measures actual market expansion and contraction rather than relying on static price offsets, allowing the channel to adapt fluidly across assets, sessions, and regime shifts.
Each successive band represents an increasing degree of statistical displacement from equilibrium:
The first tier reflects mild volatility expansion
The second tier captures elevated deviation
The outer tier represents extreme statistical stretch
Because the channel geometry is volatility-responsive, it expands during high-energy conditions and contracts during quieter phases. This prevents structural distortion - avoiding channels that are either too restrictive in low volatility or meaningless during aggressive expansion.
To maintain visual coherence and structural continuity, displacement boundaries are processed through a secondary smoothing mechanism. This refinement preserves volatility information while ensuring the channel flows naturally with price action instead of reacting mechanically to isolated candles.
Zone Interpretation (Green, Yellow, Red)
The channel is visually segmented into three color-coded zones on both the upper and lower side of the basis. These zones are not signals - they are probability regions.
The green zone, closest to the basis, represents normal price fluctuation. Price entering this area does not imply exhaustion or reversal; it simply reflects routine movement around equilibrium.
The yellow zone indicates price is becoming extended. Momentum may still continue, but risk increases. This zone often corresponds with late-trend behavior, reduced reward-to-risk for continuation trades, and early contrarian interest.
The red zone represents extreme deviation relative to recent volatility. Price reaching this area suggests the market is operating far from equilibrium. While reversals are not guaranteed, this zone statistically favors slowing momentum, rejection, or reversion, especially when combined with structural or higher-timeframe confluence.
Importantly, these zones are symmetrical. Extreme conditions exist on both the upside and downside, allowing the channel to function in bullish, bearish, and ranging markets.
Reversal Sensitivity Logic
Rather than generating signals immediately when price enters a zone, the indicator uses a confirmation counter mechanism. This means price must remain beyond the first volatility boundary for a user-defined number of consecutive bars before a reversal signal is allowed.
This approach reduces false positives caused by single-candle spikes or transient wicks. By requiring persistence, the indicator attempts to confirm that price is genuinely operating in an extended state rather than momentarily probing it.
Sensitivity inputs allow traders to control how strict this confirmation process is. Lower sensitivity values produce faster signals with higher frequency but lower confirmation. Higher values demand more sustained extension, reducing signal count but increasing contextual reliability.
Buy and Sell Signal Logic
A buy signal is generated only after price has remained below the lower volatility boundary for the required number of consecutive bars and no active trade condition is present. Conceptually, this reflects downside exhaustion relative to volatility.
A sell signal follows the same logic on the upper side, triggering only after sustained price extension above the upper volatility boundary.
These signals are contrarian by design. They are not trend continuation entries. They assume that when price stretches too far, too quickly, the probability of reaction increases - particularly in markets that oscillate rather than trend cleanly.
Trade State Awareness and Exit Logic
The indicator internally tracks whether a trade condition is active. This prevents repeated signals from firing continuously while price remains extended.
Once a trade condition is active, the indicator monitors price relative to the basis line. The basis acts as a logical exit reference, representing a return toward equilibrium. When price crosses back through the basis in the direction of the trade, the condition is reset.
This design reinforces the indicator’s purpose: capturing mean reversion back toward balance, not trend continuation beyond it.
Risk Reference Levels (TP / SL Framework)
Optional take-profit and stop-loss reference levels are derived directly from channel structure rather than arbitrary values. Stop placement is anchored near the outermost volatility band, reflecting the point at which the statistical premise of the trade is invalidated.
Multiple take-profit projections are calculated using configurable risk-to-reward ratios. These levels are not recommendations; they exist to provide structure, visual planning, and consistency when evaluating potential trades.
The indicator does not manage trades. It provides spatial context so the trader can make informed decisions.
Practical Use & Context
The Equilibrium Reversal Channel performs best in markets that exhibit rotational behavior or frequent volatility expansion and contraction. In strong, one-directional trends, extreme zones may persist longer than expected. For this reason, the indicator should always be used alongside higher-timeframe structure, trend context, or directional filters.
Its purpose is not to outperform trend systems, but to define statistical stretch clearly and consistently across assets and timeframes.
Final Notes
Equilibrium Reversal Channel is designed as a contextual decision-support framework rather than a predictive system. It visualizes price behavior relative to dynamically adjusted equilibrium and volatility boundaries, offering insight into statistically stretched conditions and potential mean-reversion opportunities. Its outputs are guidance-oriented, not guarantees, and should be interpreted alongside broader market structure, higher-timeframe context, and sound risk management practices. Every visual element, zone, and signal is intended to enhance situational awareness, empower disciplined decision-making, and provide probabilistic insight into market behavior, not dictate outcomes. Traders are strongly encouraged to combine this framework with their own strategy execution and capital management protocols.
Risk Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Users are responsible for their own analysis, risk management, and execution decisions.
Elite Scalper ProElite Scalper Pro
A scalping multi-tool built for traders who want clarity + control —not blind signals.
This is a regime-aware framework that helps you filter low-quality conditions , execute with structured exits , and audit performance from a live panel.
What it is (in one line)
Regime filters + structured execution + a live control panel — so you can trade with a repeatable process.
What makes it different
Most “signal indicators” only tell you when . Elite Scalper Pro is designed to also tell you whether conditions make sense — and it gives you the controls to tune per symbol without turning the system into chaos.
Regime-aware filtering : optional gates (EMA / MACD / RSI / CHOP) + volatility controls to reduce “noise trades”.
Structured execution : ATR-based TP1 / TP2 / SL with optional management layers.
Protective Exit (PE) : optional early-defense layer to cut damage when a setup fails fast.
HeatShield : optional volatility-spike filter to avoid entering during “too hot” conditions.
A-Low Filters (Long / Short) : optional quality blocks to avoid weak setups per direction.
State Panel : live status + targets + context + performance audit so you tune with evidence, not guesswork.
Chart behavior
Designed to stay clean: no indicator clutter. (EMA is available; everything else is handled internally.)
Markets
Built for multi-market trading: FX, metals (XAUUSD), indices, crypto, CFDs .
Reality check: symbols behave differently (volatility, sessions, noise). Defaults are a strong starting point — not a universal “best setup”.
The State Panel (your control tower)
Signal status : FLAT / PENDING / ACTIVE so you always know the current stage.
Live trade map : Entry / SL / TP1 / TP2 (reflects management updates).
Regime context : volatility + filter status so you understand why it’s trading (or not).
Performance audit : win rate / PF / net / MAE-MFE style metrics to evaluate behavior over your available history.
Protective Exit (PE)
PE is optional. Concept: when a trade moves your way then quickly invalidates, PE can act as a controlled cut to reduce damage before the full SL hits.
PE does not replace SL — it’s a risk-shaping layer you can enable/disable and tune.
Targets & trade structure
TP1 / TP2 staged exits (or single target): scale out or hold for TP2.
Sizing control : choose how much closes at TP1 vs TP2.
ATR-based risk : stops and targets scale with volatility rather than fixed points.
Optional management : CL after TP1 (breakeven-style behavior) depending on your style.
DEEP DIVE — How to use Elite Scalper Pro properly
1) Pick ONE symbol first
Start with the market you actually trade. Liquidity + spread + session quality matter more than “perfect settings”.
2) Start with defaults, then tune like a professional
Change one thing at a time, then re-check the panel metrics and trade behavior. Keep what improves stability , not just what looks best on a short window.
3) Choose your tuning goal
Higher win rate → usually fewer trades, stricter filters, sometimes smaller TP.
Higher average R → usually wider TP2/SL, more patience required.
Balanced → smoother month-to-month behavior, moderate trade count.
4) Don’t over-optimize
Prefer settings that behave “reasonably” across different regimes.
Watch trade count — if trades collapse, your “edge” may be an illusion.
Don’t stack every gate just because you can. Many symbols respond best to one or two gates.
Gates explained (what each one does)
A-Low Long / A-Low Short
Optional safety filters to block weak setups per direction (useful on symbols that fake out often). Disable if they remove too many valid trades.
EMA Gate (trend alignment)
Fast EMA vs Slow EMA bias filter. Faster = more trades/more noise. Slower = fewer trades/smoother.
MACD Gate (momentum confirmation)
Confirms momentum direction. Buffer makes it more selective (reduces micro-flips).
RSI Gate (two styles)
Midline mode : uses the 50 line to align with general direction.
Directional mode : blocks chasing (don’t long when RSI is already “too high”, don’t short when RSI is already “too low”).
CHOP Gate (market structure filter)
Separates trend conditions from chop. Stronger modes = cleaner entries, fewer trades.
Volatility Gate (regime selection)
Allows/block trades in LOW / MID / HIGH / EXTREME volatility regimes. Useful when a symbol performs best in specific volatility “zones”.
HeatShield (volatility spike protection)
Optional filter that blocks entries during sudden “too hot” volatility spikes to reduce whipsaw risk. Enable only if it improves stability on your symbol.
Time Control (session logic)
Optional entry blocking during specific time windows (spread, opens, news-like chop). Use only if your symbol consistently misbehaves at certain times.
Alerts (manual + automation-ready)
Manual : receive clean entry/management notifications to review and execute.
Automation pipelines : alerts can be routed into webhook workflows (TradingView alert infrastructure). Keep automation risk controls external and conservative.
Not financial advice. Educational only. Trading involves risk. No settings or historical results guarantee future performance. Test in replay/paper first and use strict risk management.
V-Max L2A: Momentum Radar (MTF Resonance Engine)🛡️ 【V-Max】L2A Momentum Radar: MTF Resonance & Weighting Engine
Overview V-Max L2A Momentum Radar is a high-precision momentum oscillator that synchronizes market inertia across six distinct timeframes. Unlike standard oscillators, L2A employs a proprietary MTF Resonance Weighting Engine to filter out micro-noise and align execution with institutional flow.
Technical Methodology & Originality The core value of this invite-only script lies in its sophisticated logic:
Proprietary MTF Scoring Engine: The script calculates a real-time "Resonance Score" (w_score) by assigning specific weights to momentum data (EMA 200 & RSI 14) from 6 timeframes:
Weekly (W): 2.0 weight (The Trend Anchor)
Daily (D): 1.5 weight
H4 & H1: 1.0 weight each
M15: 0.5 weight
M3 (Local): 0.3 weight Signals are only prioritized when these timeframes reach high-confluence resonance.
Intelligent Auto-Filter: To ensure signal quality, the MACD histogram is automatically calibrated against a 100-bar peak intensity and a 20-period volume SMA. This prevents "fakeouts" during low-liquidity periods.
7-State Tactical Status Machine: The UI displays a real-time market bias (e.g., "Full Long," "Prohibit Short," "Structural Adjustment") based on the internal w_score and RSI thresholds.
Divergence & Volume Detection: Features an automated divergence detection system (△/▽) combined with relative volume monitoring (>1.5x) to identify momentum exhaustion and potential reversals.
How to Use
Confluence Entry: Look for "Full Long/Short" status when the MACD completes a volume-confirmed crossover.
Alerts: Use the integrated system for real-time notifications on MTF resonance shifts.
產品概述 V-Max L2A 動能雷達是一款高精度的動能分析套件，旨在同步六個不同時間週期的市場慣性。L2A 採用獨家的「MTF 共振加權引擎」，有效過濾微觀雜訊，確保執行方向與機構資金流向一致。
技術邏輯與原創性
原創 MTF 評分引擎： 腳本透過為 6 個時區的動能數據分配不同權重來計算實時「共振分數 (w_score)」：
週線 (W)：2.0 權重（趨勢定錨）
日線 (D)：1.5 權重
H4 與 H1：1.0 權重
M15 與 M3：微觀修正權重
智能自動濾波：MACD 柱狀體會根據 100 根 K 線的峰值強度與成交量均線自動校準，避免在低流動性環境下產生虛假訊號。
七階戰術狀態機：根據內部 w_score 實時顯示市場偏好（如：全力做多、禁止做空、結構調整），為交易者提供明確的執行依據。
This is an Invite-only indicator for V-Max members. To request access: 👉 Telegram: @VMax_Helper_bot
Disclaimer: For technical analysis purposes only. Trading involves risk.
Statistical Reversion FrameworkIntroduction and Core Philosophy
The Statistical Reversion Framework constitutes a sophisticated quantitative trading instrument designed to identify high-probability mean reversion opportunities across financial markets. Unlike traditional technical indicators that rely on a single dimension of market data, this framework adopts a multi-faceted approach, synthesizing statistical probability, volume profile analysis, institutional money flow proxies, and standard technical momentum into a singular composite score. The core philosophy driving this script is the concept of confluence through heterogeneity; by combining uncorrelated or loosely correlated market factors—such as price deviation (statistics), participant commitment (volume), and macro sentiment (intermarket data)—the algorithm aims to filter out the noise inherent in standard oscillators and isolate moments where market pricing has deviated unsustainably from its intrinsic equilibrium. This tool is specifically engineered to detect market extremes—tops and bottoms—where the probability of a counter-trend move or a snap-back to the mean is mathematically significant. It operates on the premise that while asset prices can remain irrational in the short term, they are bound by statistical variance and mean-reverting properties over longer horizons, particularly when institutional flows and volume exhaustion patterns align with those statistical extremes.
Methodology: The Composite Scoring Architecture
The underlying methodology of the framework relies on a weighted composite scoring system. Rather than generating binary buy or sell signals based on a threshold crossover, the script calculates a granular score ranging from zero to one hundred for various market dimensions. These dimension-specific scores are then weighted according to user-defined inputs to produce a final "Composite Score." This approach allows for a nuanced assessment of market conditions; a setup might have extreme statistical deviation but lack volume confirmation, resulting in a lower confidence score than a setup where price, volume, and macro factors all align. The algorithm normalizes all input data into a standardized scale, typically converting raw values—such as Z-Scores or volume ratios—into a zero-to-ten ranking before aggregating them. This normalization process is critical because it allows the algorithm to compare apples to oranges mathematically, treating a standard deviation of 3.0 and a Relative Strength Index (RSI) of 20 as compatible inputs within the same equation. By summing these normalized values and applying regime-based confidence adjustments, the framework produces a dynamic signal that adapts to the volatility and trend intensity of the current market environment.
Algorithmic Component I: Statistical Analysis via Multi-Timeframe Z-Scores
The backbone of the framework is the Statistical Component, which utilizes the Z-Score (or Standard Score) to quantify the degree of price deviation. The Z-Score measures how many standard deviations the current price is from its moving average. A crucial aspect of this algorithm is its fractal nature; it does not rely on a single lookback period. Instead, it computes Z-Scores across three distinct timeframes—Daily, Weekly, and Monthly—and within each timeframe, it calculates deviations for short, medium, and long-term periods. For instance, on the daily timeframe, it assesses deviation from 50-day, 200-day, and 500-day means simultaneously. This multi-timeframe approach is designed to filter out ephemeral noise. A price move that appears extreme on a 10-day basis but is normal on a 200-day basis is likely a trend pull-back rather than a reversal. Conversely, when the Z-Scores across daily, weekly, and monthly timeframes all register values beyond significant thresholds (such as 2.0 or 3.0 standard deviations), it indicates a rare fractal alignment where the asset is historically overextended on all relevant scales. The algorithm aggregates these nine distinct Z-Score data points to form the "Statistical Score," heavily rewarding scenarios where multiple timeframes show directional alignment, as these synchronized deviations often precede powerful mean-reversion events.
Algorithmic Component II: Volume Signature and Participation Analysis
While statistical deviation highlights where the price is, the Volume Component analyzes the conviction behind the move to determine if a reversal is imminent. This section of the code employs several sophisticated logic gates to identify specific volume signatures known as Capitulation and Exhaustion. The algorithm compares current volume against a 50-day moving average to generate a volume ratio. It then correlates this ratio with price action. For example, the script identifies "Capitulation" when price collapses significantly (more than 2%) on volume that is at least three times the average. This specific signature—panic selling—often marks the psychological wash-out necessary for a market bottom. Conversely, the script detects "Volume Exhaustion" when prices drift without conviction on extremely low volume, indicating a lack of participant interest in pushing the trend further. Furthermore, the algorithm integrates On-Balance Volume (OBV) analysis, specifically looking for divergences. It detects subtle shifts where the price makes a new low, but the OBV makes a higher low, signaling that smart money is accumulating positions despite the falling price. This divergence logic is automated using pivot-based high/low detection arrays, adding a layer of foreshadowing that price-only indicators often miss.
Algorithmic Component III: Institutional Proxy and Intermarket Correlations
The Institutional Component distinguishes this framework from standard retail indicators by incorporating intermarket data that serves as a proxy for macro sentiment and institutional flow. The script pulls data from extraneous tickers—specifically the VIX (Volatility Index), Government Bond Yields (10-year and 2-year), Copper, Gold, and the Dollar Index (DXY). The logic here is grounded in fundamental market mechanics. For instance, the script analyzes the VIX to gauge market fear; however, it applies a contrarian logic. An extremely high VIX (panic) coincident with a low equity price is scored as a bullish factor, while a complacently low VIX at market highs is viewed as bearish. Similarly, the algorithm analyzes the Yield Curve (the spread between 10-year and 2-year yields). A steepening or flattening curve provides context on economic expectations, influencing the score based on whether the environment is "risk-on" or "risk-off." The Copper/Gold ratio is utilized as a barometer for global economic health; rising copper relative to gold suggests industrial demand and growth, confirming bullish setups, whereas falling copper prices signal contraction. By integrating these non-price variables, the framework ensures that a trade signal is not just technically sound but is also supported by the broader macroeconomic undercurrents that drive institutional capital allocation.
Algorithmic Component IV: Technical Momentum and Structure
The final layer of input comes from standard Technical Analysis, which serves to fine-tune the timing of the entry. This component aggregates readings from the Relative Strength Index (RSI), Moving Average Convergence Divergence (MACD), Bollinger Bands, and Support/Resistance proximity. While Z-Scores measure linear distance from the mean, the RSI and Bollinger Bands measure the velocity and elasticity of that move. The algorithm assigns higher scores when RSI hits extreme levels (below 20 or above 80) and when price action pierces the outer bounds of the Bollinger Bands. Additionally, the MACD is monitored for histogram reversals and signal line crosses that align with the mean reversion bias. A unique feature of this component is the proximity logic, which calculates how close the current price is to a 50-period high or low. If a statistical extreme coincides with a retest of a major structural support level, the technical score is maximized. This ensures that the trader is not catching a falling knife in a void, but rather identifying a reversal at a location where technical structure provides a natural floor or ceiling for price.
Regime Detection and Confidence Adjustment
A critical vulnerability of mean reversion strategies is that they can suffer severe drawdowns during strong, unidirectional trending markets (momentum regimes). To mitigate this, the framework incorporates a Regime Detection module using the Average Directional Index (ADX) and volatility thresholds. The script calculates the ADX to measure trend strength regardless of direction. If the ADX is above a certain threshold (default 25), the market is classified as "Trending." The script then cross-references this with volatility data to classify the environment into regimes such as "Crisis," "Trending," "Range," or "Mean-Revert." This classification is not merely cosmetic; it actively influences the final output through a "Regime Confidence" multiplier. If the system detects a strong trending regime, it dampens the Composite Score, requiring extraordinary evidence from the other components to trigger a signal. Conversely, if the market is detected as "Mean-Revert" or "Low-Vol Range," the confidence multiplier boosts the score, making the system more sensitive to reversion signals. This adaptive logic helps protect the trader from fading strong breakouts while aggressively capitalizing on ranging markets.
Usage Instructions and Dashboard Interpretation
Traders utilizing this framework should primarily interact with the on-screen Dashboard, which provides a real-time summary of all computed metrics. The dashboard is organized hierarchically, with the "Composite Score" and "Signal Status" at the top. A Composite Score above 70 is generally considered actionable, with scores above 85 representing "Exceptional" setups. The Dashboard is color-coded: green hues indicate bullish/oversold conditions suitable for buying, while red hues indicate bearish/overbought conditions suitable for selling or shorting. Traders should look for "Confluence" across the rows. Ideally, a robust signal will show a high Statistical score (indicating price is cheap/expensive), a high Volume score (indicating capitulation or accumulation), and a supportive Institutional score. If the Composite Score is high but the Institutional score is low, the trader should proceed with caution, as the macro environment may not support the trade.
The chart visuals provide immediate entry triggers. "Strong Bottom" (Green Triangle) and "Strong Top" (Red Triangle) shapes appear when the Composite Score breaches the high threshold and Z-Scores are at extremes. These are the primary execution signals. Smaller "Potential" markers indicate developing setups that may require lower timeframe confirmation. Additionally, specific volume icons (Diamonds) will appear to denote Capitulation or Climax events. A trader should ideally wait for the candle to close to confirm these signals. The alerts configured in the script allow the trader to be notified of these events remotely. For risk management, because this is a mean reversion tool, stop-losses should typically be placed below the swing low of the capitulation candle (for longs) or above the swing high of the climax candle (for shorts), anticipating that the statistical extreme marks the distinct turning point. By systematically waiting for the Composite Score to align with the visual signals and verifying the regime context on the dashboard, the trader effectively filters out low-probability trades, engaging only when statistics, volume, and macro-economics align.
ATR-Normalized VWMA DeviationThis indicator measures how far price deviates from the Volume-Weighted Moving Average ( VWMA ), normalized by market volatility ( ATR ). It identifies significant price reversal points by combining price structure and volatility-adjusted deviation behavior.
The core idea is to use VWMA as a dynamic trend anchor, then measure how far price travels away from it relative to recent volatility . This helps highlight when price has stretched too far and may be due for a reversal or pullback.
How it works:
VWMA deviation is calculated as the difference between price and the VWMA.
That deviation is divided by ATR (Average True Range) to normalize for current volatility.
The script tracks the highest and lowest normalized deviations over the chosen lookback period.
It also tracks price structure (highest/lowest highs/lows) over the same period.
A reversal signal is generated when a historical extreme in deviation aligns with a price structure extreme, and a confirmed reversal candle forms.
You get visual signals and color highlights where these conditions occur.
Settings explained:
Lookback period defines how many bars the script uses to find recent extremes.
ATR length controls how volatility is measured.
VWMA length controls how the volume-weighted moving average is calculated.
Signal filters help refine entries based on price vs deviation behavior.
Display options let you customize how signals and levels appear on the chart.
This indicator is especially useful for spotting potential turning points where price has moved far from VWMA relative to volatility, suggesting possible exhaustion or overextension.
Tips for use:
Combine with broader trend context (higher timeframe support/resistance).
Use with risk management rules (position sizing, stops) — signals are guides, not guaranteed entries.
Adjust lookback and ATR settings based on your trading timeframe and asset volatility.
Futures Ultra CVD (Pure )Futures Ultra CVD (Pure)
Futures Ultra CVD (Pure) is a volume-driven Cumulative Volume Delta (CVD) indicator designed to expose real buying and selling pressure behind price movement. Unlike price-only indicators, this script analyzes how volume is distributed within each bar to determine whether aggressive buyers or sellers are in control, then tracks how that pressure evolves over time.
This version is intentionally pure and ungated: it does not rely on external symbols, market filters, session bias, or macro confirmation. All signals are derived strictly from price, volume, and delta behavior of the active chart, making it suitable for futures, equities, crypto, and FX.
Core Concept: How CVD Is Calculated
For each bar, volume is split into buying pressure and selling pressure using the bar’s price position:
Buying volume increases as price closes closer to the high
Selling volume increases as price closes closer to the low
The difference between buying and selling volume forms Delta:
Positive delta = net aggressive buying
Negative delta = net aggressive selling
This delta is then accumulated into Cumulative Volume Delta (CVD) using one of three user-selectable modes:
Total – running cumulative sum of all delta values
Periodic – rolling sum over a fixed lookback period
EMA – smoothed cumulative delta using an exponential average
This flexibility allows traders to choose between raw order-flow tracking or smoother, trend-like behavior depending on timeframe and instrument.
Visual Structure & Histogram Logic
The CVD is displayed as a column histogram, not a line, to emphasize momentum and pressure shifts.
Enhanced coloring provides additional context:
Brighter green/red bars indicate increasing momentum
Muted colors indicate stalling or weakening pressure
Optional footprint-style highlights appear when buy or sell volume overwhelms the opposite side by a user-defined imbalance factor
This allows traders to visually distinguish:
Strength vs weakness
Continuation vs exhaustion
Absorption and aggressive participation
Built-In Order Flow Signals
The script automatically detects and labels key order-flow events:
Strong Delta
Triggered when delta exceeds a user-defined threshold, highlighting unusually aggressive buying or selling.
Delta Surge
Detects sudden expansion in delta compared to the prior bar, often associated with breakout attempts or liquidation events.
Zero-Line Crosses
Marks transitions between net bullish and bearish participation as CVD crosses above or below zero.
CVD Continuation Logic (Trend Confirmation)
Beyond raw delta, the script evaluates CVD structure to identify continuation conditions:
A bullish continuation requires:
Positive and rising CVD
Strong buy delta
Confirmation from at least one of the following:
CVD above its EMA and SMA
Bullish price expansion
Sustained positive delta pressure
Bearish continuation follows the inverse logic.
These continuation signals are designed to confirm participation strength, not predict reversals.
Conflict Detection (Divergence Warning)
The indicator also flags conflict conditions, where:
Strong buying occurs while CVD remains negative
Strong selling occurs while CVD remains positive
These scenarios often precede failed breakouts, absorption zones, or short-term reversals and can be used as cautionary signals.
Alerts & Practical Use
All major events include built-in alerts:
Strong delta
Delta surge
CVD continuations
Zero-line crosses
Buy/sell imbalances
Conflict signals
Alerts can be set to trigger on bar close or intrabar in real time, depending on trader preference.
How Traders Typically Use This Indicator
Confirm breakouts with delta participation
Validate trends using CVD continuation instead of price alone
Identify absorption or exhaustion via conflicts and imbalances
Combine with price structure, VWAP, or market profile tools
This script is not a trading system by itself. It is a decision-support tool designed to reveal what price alone cannot: who is actually in control of the market.
On-Chart Symbols & What They Mean
This script uses a small number of visual symbols to communicate order-flow events clearly and consistently. All symbols are derived directly from the Cumulative Volume Delta calculations described above.
Δ+ (Green Up Arrow)
Strong Buy Delta
Indicates that buying pressure on the current bar exceeded the Strong Delta Threshold
Represents aggressive market buying dominating selling volume
Often appears during breakouts, trend acceleration, or initiative buying
This symbol does not imply direction by itself; it only confirms strong buyer participation.
Δ− (Red Down Arrow)
Strong Sell Delta
Indicates that selling pressure on the current bar exceeded the Strong Delta Threshold
Represents aggressive market selling dominating buying volume
Often appears during breakdowns, liquidation events, or initiative selling
Like Δ+, this symbol measures participation strength, not trade direction.
↑ (Green Label Up)
CVD Bullish Continuation
Appears when all of the following are present:
CVD is positive and increasing
Strong buy delta is detected
At least one confirmation condition is met:
CVD is above its EMA and SMA
Price shows bullish expansion
Consecutive positive delta bars (sustained buying pressure)
This symbol highlights trend continuation supported by volume, not a reversal signal.
↓ (Red Label Down)
CVD Bearish Continuation
Appears when:
CVD is negative and decreasing
Strong sell delta is detected
At least one confirmation condition is met:
CVD is below its EMA and SMA
Price shows bearish expansion
Consecutive negative delta bars (sustained selling pressure)
This indicates bearish continuation with participation confirmation.
Cyan / Orange Histogram Bars
Footprint-Style Volume Imbalance
Cyan bars indicate buy volume exceeds sell volume by the imbalance factor
Orange bars indicate sell volume exceeds buy volume by the imbalance factor
These bars highlight areas where one side is overwhelming the other, often associated with absorption, initiative moves, or failed auctions.
Bright vs Muted Histogram Colors
CVD Momentum State
Bright colors = CVD increasing in the direction of its current bias
Muted colors = CVD losing momentum or stalling
This allows quick visual identification of strengthening vs weakening participation.
Conflict Alerts (No Symbol by Default)
Delta vs CVD Disagreement
These conditions trigger alerts (but no fixed chart icon):
Strong buying while CVD remains negative
Strong selling while CVD remains positive
Conflicts often signal absorption, trap conditions, or short-term exhaustion.
Important Usage Notes
All symbols are informational, not trade entries.
Signals are calculated from price-based volume distribution, not true bid/ask data.
Results depend on the quality of volume data provided by the exchange and TradingView.
EDMR Index (Event Driven Mean Reversion Index)EDMR Index is a market context and exhaustion indicator designed to identify short term instability, stretch, and mean reversion risk in fast intraday markets.
Rather than generating trade signals, EDMR provides a real time regime framework that helps traders understand when price action is statistically favorable and when it is not.
This is not a buy / sell indicator.
It is a context engine built to integrate seamlessly with existing strategies.
Key Features
Composite 0–100 exhaustion index
Measures:
- Price stretch from equilibrium
- Recency of extreme conditions
- Momentum deceleration
Regime-based background visualization:
- Neutral
- Developing
- Elevated
- Extreme
Thin, non-intrusive EDMR line for precise reading
Volume exhaustion markers highlighting abnormal participation
Color-coded status-line value for instant regime awareness
Fully protected, invite-only script
Why Event-Driven Context Matters
Most indicators react after conditions change.
EDMR focuses on market state, not signals — highlighting when price action is becoming unstable or statistically stretched before risk escalates.
This allows traders to:
Avoid entries during high-risk exhaustion regimes
Better time mean-reversion setups
Scale aggression up or down based on context
Stay out of overextended or unstable conditions
Intended Use
Intraday trade filtering
Mean-reversion context
Momentum exhaustion awareness
Risk modulation for discretionary strategies
Optimized for lower timeframes (1–3 minute charts).
On higher timeframes, regimes will naturally remain elevated more often. This is expected behavior with the current parameters set. Changing of parameters are available in the settings menu and individual settings may work for you on higher timeframes.
Who This Is For
✔ Traders who already have defined entries
✔ Active intraday traders and scalpers
✔ Traders who value context over signals
✖ Not a buy/sell signal
✖ Not a standalone strategy
✖ Not designed for higher-timeframe swing trading out of the box
Disclaimer
This indicator is provided for educational and informational purposes only.
It does not constitute financial advice or guarantee performance.
Trading involves risk.
EDMR Index on SPY (2-minute).Visualizes exhaustion, compression, and reversion context during high-liquidity market conditions:
EDMR applied to BTCUSD (2-minute). Designed to respond to event-driven volatility across asset classes:
Consistent behavior across index ETFs. EDMR highlights mean-reversion pressure without generating trade signals:
High-beta equity example (NVDA, 2-minute). EDMR adapts to rapid volatility expansion and contraction:
ACT Professional SuiteThis is a proprietary system architecture designed to calculate structural capacity in financial markets.
PAPER TRADING / TESTING IS RECOMMENDED BEFORE LIVE DEPLOYMENT.
█ WHAT IT IS - ONE SCRIPT; TWO ENGINES
1. TRD Engine (Macro Trend)
• BUY (Green)
• SELL (Red)
2. OPT Engine (Micro Timing)
• HOLD (Grey)
• GROWTH (Green)
• LIMIT (Orange)
• SURFING (Orange)
• SELL (Red)
█ HOW TO USE
MODE A: PASSIVE SCANNING (Default)
Use this to identify potential entries.
• WAIT: System is stable.
• LONG/SHORT: Momentum is building in a specific direction.
MODE B: ACTIVE TRADE MANAGEMENT (The Core Feature)
Once you have entered a position, check the "Activate Management Mode" box in settings. The system will now guide your exit strategy based on your defined risk parameters.
The Status Sequence:
1. HOLD: Price is moving within safe limits. (Safe)
2. STRONG GROWTH: Price movement is increasing. (Profitable)
3. LIMIT REACHED: Your defined % target is hit. (Decision Point)
4. SURFING...: The system is moving beyond the limit.
5. SELL / BREACH: The structural limit is reached. Probability of collapse is critical. Immediate exit recommended.
█ ACCESS & AUTHORIZATION
This is an Invite-Only script. Access is automated via our central hub.
whop.com
Disclaimer: This tool provides structural analysis, not financial advice. Use rationally.
POB-Purity of BreakoutThis indicator is a structure-based price framework designed to project objective market levels from a single, well-defined price range.
Unlike traditional trendlines or moving indicators, all levels produced by this tool are static, repeatable, and mathematically aligned, allowing traders to plan trades in advance rather than reacting after price moves.
This tool is not a signal generator.
It is a price framework.
Trendlines depend on how you draw them.
This framework depends on how the market is structured.
That difference is what makes it powerful.
Instruction
Update previous predmoninent high and low numbers manually of any stock/ index, and breakout levels are drawn automatically. It works in any time frame anywhere in the world.
RegimeLens [JOAT]RegimeLens — Market Regime Detection and Classification
RegimeLens identifies whether the market is in a Trending, Ranging, or Volatile state using a proprietary combination of trend strength analysis, volatility measurement, and percentile-based classification. Understanding the current market regime helps traders adapt their approach to current conditions—because the strategy that works in a trend will fail in a range.
Why This Script is Protected
This script is published as closed-source to protect the proprietary regime classification algorithm and the specific threshold calibration methodology from unauthorized republishing. The unique combination of ADX analysis, Bollinger Band width percentiles, ATR percentile ranking, and the transition zone logic represents original work that goes beyond standard regime detection approaches.
What Makes This Indicator Unique
Unlike simple trend indicators, RegimeLens:
Classifies markets into four distinct regimes, not just "trending" or "not trending"
Uses percentile-based volatility analysis for more adaptive classification
Includes a transition zone logic to prevent rapid regime flip-flopping
Tracks regime duration and strength for additional context
Provides visual regime changes with on-chart labels
What This Indicator Does
Classifies market into four regimes: Trend Up, Trend Down, Ranging, or Volatile
Displays Bollinger Bands colored according to current regime
Marks regime changes with on-chart labels
Colors price bars according to detected regime
Tracks regime duration and strength metrics
Provides comprehensive dashboard with all regime metrics
Core Methodology
The indicator analyzes multiple market dimensions to determine the current regime:
Trend Strength Analysis (ADX) — Measures directional movement strength regardless of direction. High ADX indicates trending; low ADX indicates ranging.
Directional Bias (DI+ vs DI-) — Determines whether bullish or bearish forces dominate when a trend is detected.
Volatility Expansion/Contraction (BB Width) — Tracks Bollinger Band width relative to historical norms using percentile ranking.
ATR Percentile Ranking — Compares current ATR to its historical distribution to identify abnormally high volatility conditions.
Regime Definitions
Trend Up (Green) — ADX above trending threshold with DI+ > DI- and price above basis. Strong directional movement with bullish bias confirmed.
Trend Down (Red) — ADX above trending threshold with DI- > DI+ and price below basis. Strong directional movement with bearish bias confirmed.
Ranging (Yellow) — ADX below ranging threshold indicating sideways consolidation. Low directional strength suggests mean-reversion strategies may work better.
Volatile (Purple) — Both ATR percentile AND BB width percentile above the high volatility threshold. Indicates unstable, potentially dangerous conditions where normal strategies may fail.
The classification uses a priority system where high volatility conditions take precedence, followed by trend strength evaluation, with ranging as the default state for low-activity periods.
Regime Strength Calculation
Each regime has an associated strength score (0-100%) that indicates how firmly the market is in that state:
For trends: Based on ADX relative to threshold plus BB percentile
For ranging: Based on inverse ADX plus inverse BB percentile
For volatile: Based on ATR percentile
This helps identify when regime transitions may be approaching—declining strength often precedes regime changes.
Visual Features
Regime-Colored Bollinger Bands — Upper, basis, and lower bands all colored by current regime
Band Fill — 85% transparent fill between bands in regime color
Background Highlighting — Optional 90% transparent background in regime color
Regime Change Labels — On-chart markers when regime changes (arrows for trends, diamond for range, X for volatile)
Bar Coloring — Optional price bar coloring by regime
Color Scheme
Trend Up Color — Default: #00C853 (bright green)
Trend Down Color — Default: #FF1744 (bright red)
Range Color — Default: #FFD600 (yellow)
Volatile Color — Default: #AA00FF (purple)
Dashboard Information
The on-chart table (top-right corner) displays:
Current regime name with color coding
ADX value (highlighted if above trend threshold)
DI+ / DI- comparison with directional coloring
Bollinger Band width percentage
Volatility percentile (highlighted if above volatile threshold)
Regime strength percentage
Duration in bars since last regime change
Inputs Overview
Detection Settings:
ADX Length — Period for ADX/DI calculation (default: 14, range: 5-50)
BB Length — Period for Bollinger Bands (default: 20, range: 10-100)
BB Multiplier — Standard deviation multiplier (default: 2.0, range: 1.0-4.0)
ATR Length — Period for ATR calculation (default: 14, range: 5-50)
Thresholds:
Trending ADX Threshold — ADX level above which market is considered trending (default: 25, range: 15-50)
Ranging ADX Threshold — ADX level below which market is considered ranging (default: 20, range: 10-40)
High Volatility Percentile — Percentile above which volatile regime is triggered (default: 75, range: 50-95)
Visual Settings:
Trend Up/Down/Range/Volatile Colors — Fully customizable color scheme
Show Background — Toggle regime-colored background
Show Regime Bands — Toggle Bollinger Bands display
Show Dashboard — Toggle the information table
Color Price Bars — Toggle bar coloring by regime
How to Use It
Strategy Selection:
Trend Up/Down — Use trend-following strategies (breakouts, pullbacks, moving average systems)
Ranging — Use mean-reversion strategies (support/resistance bounces, oscillator extremes)
Volatile — Reduce position size, widen stops, or stay flat until conditions stabilize
For Regime Change Trading:
Watch for regime change labels as potential entry points
Trend regime starting often signals breakout opportunity
Ranging regime starting after trend may signal consolidation before continuation
Volatile regime is a warning to be cautious
For Risk Management:
Increase position size during strong trend regimes
Decrease position size during volatile or ranging regimes
Use regime strength to gauge conviction
Monitor duration—very long regimes may be due for change
Alerts Available
MRD Trend Up — Market regime changed to trending bullish
MRD Trend Down — Market regime changed to trending bearish
MRD Ranging — Market regime changed to sideways consolidation
MRD Volatile — Market regime changed to high volatility state
MRD Any Change — Notification on any regime transition
Best Practices
Don't fight the regime—adapt your strategy to current conditions
Volatile regime is a warning sign, not a trading signal
Use regime strength to gauge how established the current state is
Combine with other indicators appropriate for the detected regime
This indicator is provided for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management before making trading decisions.
— Made with passion by officialjackofalltrades
TradeAxis Trendlines [BTCUSD]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on BTCUSD without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for BTCUSD on the 15-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
High-Probability Scalper (Market Open)Market open is where volatility is real, spreads are tight, and momentum shows itself early. This scalping strategy is built specifically to operate during that window, filtering out low-quality signals that usually appear later in the session.
Instead of trading all day, the logic is restricted to the first 90 minutes after market open, where continuation moves and fast pullbacks are more reliable.
What This Strategy Does
This script looks for short-term momentum alignment using:
Fast vs slow EMA structure
RSI confirmation to avoid chasing extremes
ATR-based risk control
Session-based filtering to trade only when volume matters
It’s designed for intraday scalping, not swing trading.
Core Trading Logic
1. Market Open Filter
Trades are allowed only between 09:30 – 11:00 exchange time.
This avoids low-liquidity chop and focuses on the period where most breakouts and reversals form.
2. Trend Confirmation
Bullish bias: 9 EMA crosses above 21 EMA
Bearish bias: 9 EMA crosses below 21 EMA
This keeps trades aligned with short-term direction instead of random entries.
3. Momentum Check (RSI)
RSI is used as a quality filter, not as an overbought/oversold signal.
Long trades only when RSI is strong but not extended
Short trades only when RSI shows weakness without exhaustion
This removes late entries and reduces whipsaws.
Entries & Exits
Entries
Executed only on confirmed candles
No intrabar repainting
One position at a time
Risk Management
Stop-loss based on ATR
Take-profit calculated using a fixed risk–reward ratio
Same structure for both long and short trades
This keeps risk consistent across different symbols and volatility levels.
Why This Strategy Works Better at Market Open
Volume is highest
False breakouts are fewer
EMA crosses have follow-through
RSI behaves more cleanly
By not trading all day, the strategy avoids most of the noise that kills scalpers.
Best Use Cases
Index futures
High-liquidity stocks
Major crypto pairs during active sessions
1m to 5m timeframes
What This Strategy Is NOT
Not a martingale
Not grid-based
Not designed for ranging markets
Not a “set and forget” system
It’s a controlled scalping template meant for disciplined execution.
How to Use It Properly
Test on multiple symbols
Adjust ATR length for volatility
Tune RSI ranges per market
Always forward-test before live alerts
Final Note
This strategy focuses on structure, timing, and risk, not indicator stacking.
If you trade the open, this gives you a clear framework instead of emotional entries.
If you want:
Alerts
Session customization
News filters
Partial exits
You can extend this logic without breaking the core system.
TradeAxis Trendlines [ETHUSD]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on ETHUSD without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for ETHUSD the 30-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
SD-Range Oscillator | QuantEdgeBSD-Range Oscillator | QuantEdgeB
🔍 Overview
SD-Range Oscillator | QuantEdgeB (SDRO) is a normalized momentum oscillator that compresses a low-lag trend core into a 0–100 style range using standard-deviation (SD) bands. It builds a smooth baseline from a fast triple-smoothed average, wraps it with ±2×SD volatility bounds, then normalizes the core value inside that envelope. Clear Long/Short regimes trigger when the normalized value crosses user-defined thresholds, with optional labels, regime-colored candles, and intuitive filled zones.
✨ Key Features
1.⚡ Low-Lag Core (Triple-Smooth Engine)
- Uses a fast, low-lag triple-smoothed average as the oscillator’s primary signal input.
- Helps keep momentum readings responsive while filtering noise.
2. 📏 SD Volatility Envelope (±2×SD)
- Builds a volatility channel around a smoothed baseline using standard deviation.
- Automatically adapts to changing market turbulence.
3. 🧮 Normalized Range Output
- Converts the core signal into a normalized value by mapping it between the upper/lower SD bounds.
- Makes readings consistent across assets and timeframes.
4. 🎯 Threshold-Based Regimes
- Long when the normalized value exceeds the Long threshold.
- Short when it falls below the Short threshold.
- Includes an additional safety filter to reduce “forced” longs when price is already extended near the upper envelope.
5. 🎨 Visual Clarity & Zones
- Regime-colored oscillator line and candles.
- Filled SD bands around the baseline for quick volatility context.
- Optional highlight fills between the oscillator and thresholds to show active long/short phases.
- Extra OB/OS background zones for quick overextension awareness.
6. 🔔 Signals & Alerts
- Optional “Long/Short” labels on confirmed regime flips.
- Alert conditions fire on long/short regime crossovers.
💼 Use Cases
• Momentum Confirmation: Validate breakouts by requiring SDRO to hold above the Long threshold.
• Mean-Reversion Awareness: Watch for extreme normalized readings near upper/lower bounds.
• Regime Filtering: Use SDRO state (Long/Short/Neutral) to filter trades from other systems.
• Cross-Market Comparison: Normalization makes it easier to compare momentum across different tickers.
🎯 For Who
• Trend traders who want a clean momentum filter with adaptive volatility context.
• System builders needing a simple regime variable (1 / -1 / neutral) to gate entries.
• Discretionary traders who like visual confirmation (fills, candle coloring, threshold zones).
• Multi-asset traders who benefit from normalized, comparable oscillator readings.
⚙️ Default Settings
• TEMA Period: 7
• Base Length (SMMA): 25
• Long Threshold: 55
• Short Threshold: 45
• SD Multiplier: 2× (fixed in code)
• Color Mode: Alpha
• Color Transparency: 60
• Labels: Off by default
📌 Conclusion
SD-Range Oscillator | QuantEdgeB blends a low-lag triple-smoothed core with an adaptive SD envelope to produce a normalized, easy-to-read momentum signal. With clear threshold regimes, volatility-aware context, and strong visuals (fills + candle coloring), SDRO helps separate meaningful momentum shifts from noise across any asset or timeframe.
🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading.
🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
TradeAxis Trendlines [UKOIL]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on UKOIL without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for UKOIL on the 15-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
TradeAxis Trendlines [XAUUSD]TradeAxis Trendlines is a rule-based trendline analysis indicator for TradingView. It automatically detects and plots filtered trendlines to help you monitor evolving structure on XAUUSD without manual drawing.
What it plots
Automatically mapped trendlines (with filtering to reduce noise)
Optional higher-timeframe structure overlays (if enabled)
Optional Position Tools
Recommended baseline
Designed/tuned for XAUUSD on the 15-minute timeframe as the baseline setup
Alerts
Built-in alert conditions are provided (configured in TradingView), including:
New trendline created
Trendline touch / interaction
Additional structure/tool events (when enabled in settings)
Inputs
Line filtering controls (e.g., slope/steepness constraints)
Visibility toggles for structure overlays
Additional parameters to help adapt the display to your workflow
