Smart RSI Trend RSI Văn Nam — Smart RSI Trend + Divergence Toolkit
RSI Văn Nam is a clean, high-clarity RSI system built to help traders spot trend shifts, momentum confirmation, and high-probability divergence setups—without clutter.
It combines a classic RSI(14) core with two powerful smoothing tools (EMA(9) and WMA(45) of RSI) to make momentum structure easier to read and trade with confidence.
1) Trend Read Made Simple (EMA9 vs WMA45 on RSI)
Instead of guessing momentum, RSI Văn Nam highlights trend direction using a simple but effective rule:
Bullish momentum bias when EMA9(RSI) > WMA45(RSI)
Bearish momentum bias when EMA9(RSI) < WMA45(RSI)
A soft trend fill visually marks the current RSI momentum regime, making it easy to stay aligned with the dominant flow.
2) Clear Cross Signals (Momentum Turning Points)
The indicator plots clean markers when momentum changes:
Triangle Up when EMA9(RSI) crosses above WMA45(RSI)
Triangle Down when EMA9(RSI) crosses below WMA45(RSI)
Optional cross marker for any crossover/crossunder event
These crosses are great for:
early trend confirmation
pullback continuation timing
avoiding late entries when momentum is already fading
3) Professional Divergence Engine (Pivot-Based, “Original Logic”)
RSI Văn Nam includes a strict divergence detector using pivot highs/lows on RSI with fixed settings matching the original method:
Pivot Left = 5
Pivot Right = 5
Divergence range filter (Min/Max lookback) to reduce noise
Supported divergence types:
Regular Bullish Divergence (price lower low + RSI higher low)
Regular Bearish Divergence (price higher high + RSI lower high)
Optional: Hidden Bullish / Hidden Bearish Divergence
Each divergence prints clean labels directly on the RSI panel for fast recognition.
4) Built-In Alerts (Ready for Automation)
You get ready-to-use alerts for:
Regular Bullish / Bearish Divergence
Hidden Bullish / Hidden Bearish Divergence
EMA9(RSI) crossover / crossunder WMA45(RSI)
Perfect for traders who want notifications or semi-automation.
Why Traders Like It
✅ Cleaner RSI trend structure (less “RSI noise”)
✅ Momentum shifts are obvious (cross markers + fill)
✅ Divergence signals are strict and filtered by range
✅ Works on any market/timeframe (especially useful for XAUUSD & indices)
If you want, I can also write a shorter version for a TradingView publish description (2–4 lines), and a strong sales headline (English) that fits your branding.
Волатильность
SPX Volatility EngineSPX Volatility Engine
A Structured Decision-Support Framework for Intraday SPX Volatility
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What This Script Does
The SPX Volatility Engine is a professional decision-support framework designed to help intraday SPX traders determine when market conditions support participation and when restraint is warranted.
Rather than generating trade signals in isolation, the script provides contextual classification of directional opportunities by evaluating volatility regime, market structure, and directional behavior together, in real time.
The output is not more signals — it is fewer, higher-quality decisions, created by filtering and ranking directional activity based on whether the surrounding market environment is aligned or conflicted.
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Why This Framework Exists
Intraday SPX markets often present conflicting information:
• Volatility may compress while price trends
• Directional momentum may appear during unfavorable structure
• Signals may trigger when participation is statistically poor
Most indicators measure one dimension at a time.
Very few help traders resolve which information should take precedence when those dimensions disagree.
The SPX Volatility Engine was built specifically to address this problem by structuring how market information is evaluated and prioritized, rather than displaying independent indicators side-by-side.
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Processing Logic Overview
The SPX Volatility Engine evaluates market conditions in a defined sequence designed to prevent low-quality signals from being treated as actionable.
The framework operates as follows:
1. Volatility Regime Identification
The script first evaluates volatility behavior, including compression, expansion, and momentum characteristics.
This establishes whether the current environment favors participation, caution, or avoidance.
2. Structural Context Evaluation
Next, the framework evaluates where price is interacting relative to defined structural zones.
This step determines whether directional activity is occurring in favorable or unfavorable locations.
3. Directional Signal Detection
Only after volatility regime and structure are established does the script evaluate directional behavior.
Directional signals are generated conditionally, meaning their significance depends on the surrounding context.
4. Contextual Classification and Suppression
Signals are not treated as binary triggers.
Each signal is evaluated against the volatility and structural context present at the moment it occurs.
Signals that occur during misaligned or conflicted conditions are explicitly downgraded or suppressed.
This sequential evaluation — volatility → structure → direction → classification — is the core originality of the framework.
The value of the script lies in how information is filtered and ranked, not in any single calculation.
Internal volatility and structural measurements are calculated consistently using the same rules on every bar and updated in real time.
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How the Components Work Together
The SPX Volatility Engine is a single, integrated analytical framework rather than a collection of independent indicators.
Volatility metrics, structural references, and directional signals are not displayed for separate interpretation.
They are integrated within the same script so that:
• Structural context can qualify or disqualify directional behavior
• Volatility state can suppress participation during unfavorable regimes
• Signals are evaluated based on environmental alignment, not trigger occurrence
These elements are included together to enforce interpretive precision.
If structure, volatility, and direction were viewed separately, signals could appear actionable when they are not — which this framework is explicitly designed to prevent.
This integration logic is the reason the script is maintained as closed source.
The originality resides in the evaluation hierarchy and classification process, not in any individual indicator.
Single-script integration of all calculations and plot presentations ensures that what is seen on-screen matches the classification process taking place in real time for each signal and its surrounding market context.
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Signal Classification
Directional signals are classified in real time into one of three contextual states:
• Out-of-Context — directional activity exists, but volatility or structure makes participation unreliable
• Priority — partial alignment is present and conditions warrant attention with caution
• Ideal — volatility regime, structural context, and directional behavior are aligned
These classifications are intended to guide trader behavior:
• Out-of-Context signals are typically ignored
• Priority signals are monitored selectively
• Ideal signals represent structurally supported participation environments
The script does not predict outcomes and does not provide trade entries or targets.
What is presented on-screen is intended to highlight conditions favorable for directional trades when conditions warrant participation, and restraint when those conditions are absent or adverse.
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What Appears on the Chart
When applied, the SPX Volatility Engine presents a unified on-chart framework that includes:
• A Heads-Up Display (HUD) summarizing volatility regime, directional bias, and contextual classification
• Contextual CALL / PUT markers that are classified, not blindly generated
• Structural reference zones used internally to evaluate signal validity
• Real-time regime and alignment cues designed to support disciplined interpretation
All outputs belong to this single script and are designed to be interpreted together.
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Companion Indicator (Clarification)
A separate companion indicator exists to display the volatility compression and histogram state calculated internally by this framework and used during signal evaluation. This companion exists solely to provide an optional visual representation of that state in a dedicated lower pane for traders who wish to see it.
The companion indicator is not required for the SPX Volatility Engine to function. It provides an optional visualization for traders who prefer to view volatility state in a separate pane.
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Intended Use
The SPX Volatility Engine is designed for:
• Intraday SPX traders who value context before conviction
• Discretionary traders seeking a structured, rules-based analytical framework
• Professionals and advanced retail traders who prioritize clarity over signal volume
The framework supports interpretation and decision discipline.
It does not execute trades and does not provide investment advice.
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Access
This script is available by Invite-Only.
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Disclaimer
This indicator is provided for informational and analytical purposes only and does not constitute investment advice, trading advice, or a recommendation to buy or sell any security or instrument.
The SPX Volatility Engine does not execute trades and does not guarantee results.
All trading decisions remain the sole responsibility of the user.
Trading SPX and related instruments involves substantial risk and may result in losses.
Users should trade responsibly and in accordance with their own risk tolerance.
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REBThis indicator is designed to improve visual clarity when observing market trend and momentum using a refined combination of RSI and EMA.
📌 Core Features of the Indicator:
1. RSI + EMA Combined Structure
The indicator integrates Relative Strength Index (RSI) with Exponential Moving Average (EMA) to provide a clearer view of momentum behavior within the broader trend context.
2. High-Visibility Color Visualization
Dynamic color changes are used to reflect:
#Momentum expansion or contraction
#Bullish vs bearish pressure
#Shifts in price behavior
This allows users to interpret market conditions at a glance, without relying on constant numeric readings.
3. Clear Intersection & Alignment Cues
EMA and RSI interactions are visually emphasized, helping users observe:
#Momentum alignment with trend
#Potential transition phases
#Trend continuation vs hesitation
4. Visible Price Ascending & Descending Structure
The indicator highlights price movement direction through visual cues, making it easier to distinguish:
#Rising market structure
#Declining structure
#Sideways or indecisive conditions
5. Clean & Uncluttered Chart Design
All visual elements are intentionally simplified to maintain chart readability, making the indicator suitable for both lower and higher timeframes.
🧠 More Than Just Lines — A Visual Trend & Momentum Framework
This indicator focuses on:
#Trend direction observation
#Momentum strength awareness
#Visual clarity over complexity
It is designed as a supporting analytical tool, not a signal generator.
💡 Recommended For:
Traders who prefer visual-based analysis
Trend followers and momentum observers
Intraday and swing traders seeking cleaner chart interpretation
Users who combine multiple tools and want clearer confirmation context
🔔 Disclaimer:
This indicator is a visual analysis tool designed to help users observe trend and momentum behavior.
It does not provide buy or sell signals, predictions, or financial advice.
All trading decisions and risk management remain the sole responsibility of the user.
LUMINA v5.0 Smart EditionWaveTrend Momentum Extremes is a market analysis framework designed to identify high-probability reversal and transition zones by combining wave-based momentum cycles with extreme market conditions.
The indicator focuses on momentum exhaustion, structural divergences, and liquidity-driven extremes to detect market tops, bottoms, and critical regime shifts.
By integrating WaveTrend momentum, divergence strength, volatility context, and multi-timeframe filters, Wave Momentum Extremes highlights only the most relevant market inflection points.
Signals are filtered and graded to prioritize quality over frequency, making the tool suitable for traders seeking precision around momentum extremes rather than continuous directional signals.
EAGLEDOMAIN Battlezone State Detection 1.0 [DamienCross]中文｜指标发布说明
名称：EAGLEDOMAIN · 战区状态识别（原创） | Battlezone State Detection
作者：Damien Cross
品牌：EAGLEDOMAIN（鹰域）
所属体系：ARMAMENT · Tactical Buffering Control™
定位：市场状态识别模块（Market-State Identification）
性质声明：本指标不是入场/出场信号，不提供“喊单式”结论；它用于识别“异常波动/冲击行为”的发生与结构痕迹，辅助你进行风控、节奏判断与复盘取证。
1) 这个指标在做什么
当市场出现“单根K线异常波动”（例如 5/15分钟突然拉升或砸盘几十美金），指标会把这种行为归类为三种战术等级：
警戒（Warning）：异常波动开始进入非正常区间（预警层）
突袭（Assault）：强冲击波动，通常伴随情绪驱动、流动性变化或盘面结构被硬扭
修罗场（Shura）：极端波动状态，属于“规则被短暂掰弯”的高风险区
它的核心价值不是“预测”，而是把异常发生这件事量化、分级、留痕：
让你在当下知道“市场已经不按常态走了”
让你在复盘时能定位“异常发生的时间点、强度、类型”
让你在风控层面能把“正常波动”与“异常冲击”区分开
2) 波幅口径（Shock Calculation）
你可以选择三种波幅统计方式（决定“异常”用什么尺度衡量）：
实体波幅（收-开）：强调情绪方向与推进力度
全波幅（高-低）：强调当根K线的完整冲击范围
真实波幅 TR（True Range）：把缺口与跳动也纳入（更适合突发跳空、急拉急砸）
3) 鹰域形态过滤（原创定义）
异常波动不等于“有效冲击”。本指标提供三种“异常形态”过滤模式，用于区分冲击类型：
突袭K（收在极值）：收盘靠近高点/低点，且实体占比高
常见于“强方向推进、硬拉硬砸、单边冲刺”
扫荡K（长影线冲击）：影线占比高
常见于“扫流动性、插针回收、试探/清算”
纯波幅（不看形态）：只要波幅够大就算（更敏感、更“雷达式”）
另外提供 实体过滤（minBodyUSD）：
用于排除“影线很长但实体很小”的噪音（也可设为 0 关闭）
4) 三段阈值系统（固定阈值 + ATR 自适应）
本指标同时支持两套阈值体系，并可选择触发逻辑：
固定阈值（美元）：直接用 $12 / $20 / $30 这种尺度定义警戒/突袭/修罗
ATR 动态阈值：用 ATR 倍数适配不同阶段的波动环境（更自适应）
触发逻辑可选：
满足任意一个：固定阈值或 ATR 阈值命中其一就触发（更敏感）
必须同时满足：两者都命中才触发（更严格、更抗噪）
5) 分时段倍率（亚洲/伦敦/纽约）
不同盘段的“正常波动基线”不同。此模块用于给阈值加倍率：
亚洲盘更敏感（倍率 < 1）：小波动也能被识别
纽约盘更宽（倍率 > 1）：过滤掉纽约盘常态的大波动
重要：分时段倍率依赖时区参数。默认建议使用 UTC，若你希望按北京时间识别，可将时区设为 Asia/Shanghai，并相应调整 Session 时间。
6) 图表如何解读（标记 + 标签 + 冲击箱体）
标记（Shapes）
警戒：圆点
突袭：三角形
修罗：标签形状
并区分方向：上涨在K线下方、下跌在K线上方。
标签（Labels）
默认只对 突袭/修罗场贴标签（更干净）。标签内容包含：
等级（突袭 / 修罗场）
方向箭头（可开关）
本K线波幅（美元）
冲击区箱体（Boxes）
当出现 突袭/修罗场，会以箱体形式留下“冲击区痕迹”，并向右延伸若干根K线：
它不是支撑/阻力的绝对定义
它是“异常冲击发生后，市场可能继续反应的结构记号”
常用于：
观察冲击后的回测、再扩张、二次波动
做复盘：这根异常K线之后，市场在这个区间是否反复拉扯、是否出现反噬
7) 警报（声音/邮件/推送）
指标内置三段警报条件：警戒 / 突袭 / 修罗场。
警报消息将自动带出：品种、周期、波幅、阈值、收盘价、系统签名。
设置方法：
TradingView → Alerts → Condition 选择本指标 → 选择对应的【警戒/突袭/修罗场】→ 勾选通知方式（App/邮件/弹窗/声音）。
8) 建议用法（专业场景）
本指标更适合以下用途（不依赖“喊单”）：
风控与节奏管理：当市场进入“突袭/修罗”级别，提醒你切换到更保守的执行框架（例如降低频率、减少冲动追价、等待结构稳定）。
异常事件定位：用“时间点 + 强度 + 类型”快速定位异常行为（尤其适合XAUUSD在 5/15min 的突发波动）。
复盘取证与训练：把“异常波动”变成可追踪的数据对象：你可以回看当时是否临近数据、是否处于盘段交接、是否发生流动性抽离。
多品种统一标尺：ATR 自适应让不同品种/不同阶段的“异常”更可比，而不是固定用一个死阈值硬套所有环境。
9) 局限与免责声明
指标识别的是“异常发生”，不是“异常原因”。消息面、流动性、盘口行为需要你自行结合判断。
历史表现不代表未来。任何工具都不能替代风险控制与仓位纪律。
本脚本仅用于研究、复盘、风险提示与市场状态识别。
10) 验真与防篡改（Data Window）
脚本包含 EAGLEDOMAIN VERIFIED / TAMPERED / SPOOFED 与指纹输出（仅在 Data Window 显示），用于原创验真与取证：
VERIFIED：签名与私钥参数匹配（原版）
TAMPERED：签名成立但私钥不匹配（疑似被改/二次加工）
SPOOFED：私钥匹配但签名不成立（疑似删除签名层伪装）
English｜TradingView Script Description
Name: EAGLEDOMAIN · Battlezone State Detection (Original)
Author: Damien Cross
Brand: EAGLEDOMAIN
System: ARMAMENT · Tactical Buffering Control™
Role: Market-State Identification Module
Statement: This is NOT an entry/exit signal. It is a professional overlay designed to classify abnormal single-bar volatility shocks, leave structural footprints, and support risk control, tempo management, and post-analysis.
1) What this indicator does
When the market produces an abnormal impulse bar (e.g., a sudden 5/15-min spike or dump), the script categorizes the event into three tactical levels:
Warning: volatility enters an abnormal regime (early caution)
Assault: strong shock / impulse behavior (aggressive displacement)
Shura: extreme regime (high-risk, rule-bending conditions)
The purpose is not prediction. The purpose is to quantify, grade, and archive shock events so you can:
recognize when the market has shifted out of “normal behavior”
locate the exact timestamp/intensity/type during review
separate normal volatility from genuine shock behavior for risk decisions
2) Shock measurement modes
Choose how “shock” is measured:
Body (Close-Open): emphasizes directional drive
Range (High-Low): captures full intrabar impact
True Range (TR): includes gaps/abrupt jumps (best for sudden dislocations)
3) Original pattern filters (EAGLEDOMAIN definitions)
Not every large bar is the same. The script offers three anomaly types:
Assault Candle (close near extreme): strong body ratio + close near high/low
typical for hard directional pushes and impulse displacement
Sweep Candle (long wicks): high wick ratio
typical for liquidity sweeps, stop-runs, spike-and-reject behavior
Pure Shock (no pattern): amplitude-only (most sensitive)
Optional Minimum Body Filter excludes tiny-body noise (set to 0 to disable).
4) Threshold engine (Fixed USD + Adaptive ATR)
Two threshold systems can be used together:
Fixed USD thresholds (e.g., $12 / $20 / $30)
ATR-based adaptive thresholds (multiples of ATR)
Trigger logic:
Either condition (more sensitive)
Both conditions (more strict / less noise)
5) Session multipliers (Asia / London / New York)
Volatility baselines differ by session. Session multipliers adjust thresholds accordingly:
Asia can be set more sensitive (<1)
NY can be set wider (>1)
Timezone matters. Default recommendation: UTC. If you want Beijing time logic, use Asia/Shanghai and adjust sessions.
6) Visual reading (Marks + Labels + Shock Boxes)
Warning: circles
Assault: triangles
Shura: label shapes
Directional placement: up events below bars, down events above bars.
Labels are shown mainly for Assault/Shura to keep the chart clean, including: level + direction + shock value in USD.
Shock Boxes are structural footprints extended to the right. They are not “guaranteed S/R,” but a post-shock reaction zone marker for observation and review.
7) Alerts (sound / email / push)
Three built-in alert conditions: Warning / Assault / Shura.
Alert messages include symbol, timeframe, shock value, thresholds, close price, and system signature.
8) Professional use cases
risk & tempo control during abnormal regimes
precise timestamping of shock events for journal/review
structured post-analysis of session transitions, news windows, liquidity shifts
multi-asset comparability via ATR adaptation
9) Limitations & disclaimer
This script detects the occurrence of abnormal shocks, not the underlying cause.
Use proper risk management. For research, review, and risk awareness only.
10) Authenticity & anti-tamper (Data Window)
The script provides Data Window-only fields: EAGLEDOMAIN VERIFIED / TAMPERED / SPOOFED and a fingerprint output for originality verification and forensic reference.
Tags (recommended)
EAGLEDOMAIN, DamienCross, Battlezone, Market State, Volatility Shock, ATR, Risk Control, XAUUSD, Price Action, Session, ARMAMENT, Tactical Buffering Control
Chaban Fibonacci Precision: BTC & ETH 5m Engine Chaban Fibonacci Precision: BTC & ETH 5m Engine
Chaban Fibonacci Precision is a professional-grade trading engine meticulously engineered for the high-velocity volatility of BTC & ETH 5-minute charts. This system goes beyond standard indicators by integrating Institutional Trend Anchoring with Proprietary Fibonacci Volatility Bands, filtering out market noise to capture reversals with surgical precision.
Trend Anchor: Defines the primary market bias, ensuring you trade in sync with the "Smart Money" (Institutional flow).
Fibonacci Precision Zones: Utilizes dynamic volatility thresholds based on Fibonacci sequences to pinpoint exact exhaustion points without manual drawing.
Structural Confirmation: Integrates cloud-based structural filters to verify trend stability before issuing any signal.
Professional Interface: Designed for maximum clarity, reducing chart clutter and allowing you to focus entirely on execution.
Trend Identification: The engine establishes a clear market bias, preventing users from making the mistake of trading against the major flow.
Precision Entry: Buy/Sell signals (Triangles) are generated exactly when the price reaches our proprietary Fibonacci boundaries, indicating market exhaustion.
Dynamic Rotation: The engine immediately adjusts its bias as market structures evolve, identifying new opportunities in real-time.
Leverage: It is strongly recommended to use leverage of 5x or lower.
Position Sizing: Always utilize a layered (scaled) entry approach.
Entry Strategy: Initiate trades based on the Trend-aligned Buy/Sell signals. For additional entries, add to your position near the band boundaries in the direction of the trend.
Example: In an Uptrend, only look for entries near the Lower Band. In a Downtrend, only look for entries near the Upper Band.
Take-Profit (TP) Strategy: Once in profit, use a scaled exit strategy:
Long Positions: Scale out near the Upper Band in the direction of the trend.
Short Positions: Scale out near the Lower Band in the direction of the trend.
By following the setup shown in the provided screenshots, you will receive three types of alerts: Trend Shift, Long Signal, and Short Signal.
Note: Long and Short alerts serve as "Preliminary Entry Alerts." Therefore, they may not always coincide exactly with the appearance of the triangle icons. Always use them as a preparation signal.
Dual-Asset Optimization: Specifically tuned for the unique liquidity and volatility of BTC and ETH.
Timeframe Focused: Engineered and tested for optimal performance on the 5-minute chart for scalpers and day traders.
Invite-Only Access: A premium tool designed for disciplined traders.
To request access to the Chaban Fibonacci Precision engine or for any setup inquiries, please send a Private Message (PM) on TradingView.
SHDW Premium & Discount Fibonacci|ProShort summary
Institutional leg-mapping tool that anchors Fibonacci ranges and Premium/Discount zones to the **current structural leg (A→B)** on the active chart timeframe, using an ATR-based swing engine with BOS/CHoCH confirmation and mitigation logic.
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Concept
SHDW Premium & Discount Fibonacci|Pro is a desk-style context and execution map .
Instead of drawing Fibonacci across the entire historical chart, the script focuses on one job:
Identify the current relevant market leg (A→B) on the visible timeframe and map the range with institutional-grade filters (structure confirmation, impulse requirements, and mitigation behavior).
This is not a trade signal generator and it is not an automated strategy.
It does not include position sizing, risk parameters, entries/exits, or profitability claims.
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Method (high level)
The engine is built around three pillars:
1) Swing engine (ATR reversal)
Swings are confirmed only when price produces a reversal of at least X ATR , with a minimum number of bars between swings.
This removes micro-noise and creates consistent swing anchors for structure.
2) Structure confirmation (BOS / CHoCH)
The script validates the active leg using Break of Structure logic, optionally requiring displacement (range + body quality) to reduce false breaks and wick-traps.
3) Institutional range mapping (Premium/Discount + OTE)
Once the leg is defined, the script maps:
* Fibonacci retracement levels
* Premium / Discount / Equilibrium zones
* OTE / Golden Pocket (optional)
And it can manage zones with mitigation behavior (fade/remove as price interacts).
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Profiles (Desk Presets)
The script ships with pre-calibrated desk presets to avoid parameter guessing:
* Desk — Balanced: default institutional balance between stability and responsiveness.
* Execution — Intraday: more reactive, tuned for intraday execution.
* Macro — Swing/Position: stricter filters, cleaner leg selection for higher timeframes.
These presets are designed so you can switch behavior without constant manual tuning.
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Manual mode (if you don’t want presets)
If you enable Manual override , these are solid “institutional baseline” values to start with:
Balanced / General
* ATR length: 14
* Swing reversal (ATR x): 1.25
* Min bars between swings: 5
* Min structural move (ATR x): 0.80
* Equal High/Low tolerance (%): 0.05
* BOS buffer (ATR x): 0.15
* Require displacement: ON
* Displacement body (ATR x): 0.80
* Body % of range: 0.60
* Min candle range (ATR x): 1.0
* Map leg only after BOS: ON
* Fallback if no BOS yet: ON
* Min impulse size (ATR x): 1.80
* Mitigation mode: Soft
* Mitigation buffer (ATR x): 0.10
Execution (faster)
* Swing reversal: 1.05
* Min bars: 3
* Min structural move: 0.60
* BOS buffer: 0.10
* Min impulse: 1.30
* Displacement thresholds slightly lower (body/range)
Macro (cleaner)
* ATR length: 21
* Swing reversal: 1.55
* Min bars: 7
* Min structural move: 1.10
* BOS buffer: 0.20
* Min impulse: 2.30
* Displacement thresholds slightly higher (body/range)
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What the script shows
On the active chart timeframe, the script displays the current A→B leg map :
* Fibonacci retracement levels (key institutional levels)
* OTE / Golden Pocket (optional)
* Premium / Discount / Equilibrium boxes (optional)
* A→B diagonal reference (optional)
* Mitigation behavior (optional): zones fade/remove after interaction
The goal is to keep the chart readable and only show what matters for the current leg , not the entire history.
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How to use (institutional view)
A practical workflow:
1. Define context first
* Use your higher timeframe bias (many traders pair this with a regime tool like AlphaDesk) and only execute in that direction.
2. Use the leg map for execution
* In an up-leg: discounts/OTE are the primary “pullback execution area”.
* In a down-leg: premiums/OTE are the primary “pullback execution area”.
3. Let structure confirm
* “Map leg only after BOS” is the institutional default: it forces confirmation before you treat the range as tradable structure.
4. Respect mitigation
* If a zone is mitigated (depending on your mode), it degrades/disappears to avoid anchoring bias on already-used liquidity.
Execution and risk management remain fully on the user.
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Important notes
* Educational / informational tool only.
* No guarantee of profitability.
* Not financial advice.
* The script is intended to be combined with independent analysis and risk management.
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Clarification on methodology / originality
While the script plots Fibonacci and PD zones (common concepts), the core logic is not a basic “auto fib”.
The internal engine is a structure-driven leg selector , built around:
* ATR reversal swing confirmation,
* BOS/CHoCH structure validation,
* impulse and displacement filtering,
* and zone lifecycle management via mitigation.
The tool is distributed as a protected/invite-only publication.
HSQC Hybrid SQ [RubiXalgo]HSQC 👑 Hybrid SQ – The Rubik’s Cube of Price Action
Imagine a Rubik’s Cube spinning inside another Rubik’s Cube.
The **outer cube** represents classic **Supply & Demand**.
The **inner cube** captures live **Trend & Momentum**.
When the colors align — the market moves decisively.
This advanced hybrid indicator fuses dynamic **Kalman filtering** with sophisticated price action analysis, volume dynamics, and institutional-level insights. It paints every candle, average, cloud, and zone in real-time using a precise color language:
- 🟢 **Vivid Green** → Strong bullish momentum (potential long)
- 🔴 **Deep Red** → Strong bearish pressure (potential short)
- 🟡 **Bright Yellow** → Explosive volatility / reversal alert
- 🟣 **Purple / 🔵 Blue** → Institutional accumulation or distribution
**Key Features**
- Multi-layer Kalman-smoothed moving averages (13, 20, 50, 200, 800 periods) with adaptive color shifts based on trend strength
- Selectable Dynamic Kalman Models (including volume- and volatility-adjusted)
- Quantum Volatility Cloud for adaptive support/resistance
- Vector Zones highlighting high-probability reaction areas
- InterBank-style Support & Resistance levels
- Breakout candle detection and vector-based trailing stops
- Customizable bar coloring driven by volume, momentum, and quantum metrics
- Highly configurable display options for clean charting
Built for traders seeking an edge in decoding multi-dimensional market structure.
© Jesse_Geluk | RubiXalgo 2026
For educational purposes only — not financial advice. Trade responsibly.
BT AstroBT Astro Indicator — Quick Summary
BT Astro is a market context overlay that plots major astronomical timing cycles (planetary conjunctions + key time harmonics) directly on your chart to help you identify when markets are more likely to transition, accelerate, or stall .
This is not a buy/sell signal tool —it’s a timing + regime awareness layer designed to complement price/volume structure.
Key Features & Visuals
• Major Cycle Markers: clean vertical markers for high-impact events (ex: major conjunctions, eclipses)
• Toggle Controls: enable/disable event groups (ex: “Major Conjunctions”) to keep charts uncluttered
• Minimal Overlay: stays in the background—no forecasting lines, just time-based context
• Designed for Confluence: built to pair with regime/volatility/flow tools (not replace them)
How Traders Use It (Context, Not Entries)
• Timing Awareness: highlight windows where breakouts may follow through or fail more often
• Risk Adjustment: reduce size / tighten risk / stand down near major cycle windows; press only with confluence
• Regime Confirmation: use astro timing as a secondary “permission” layer when structure + flow already agree
• Discipline Filter: helps avoid forcing trades when time is misaligned, even if setups look good
Bottom Line
BT Astro does not predict direction. It adds a time-based caution/permission layer so you can trade your existing models with better context and cleaner decision-making.
Hard Asset Regime + StrongestHard Asset Strongest Momentum
Simple tool to show which hard asset (gold, silver, or Bitcoin) has the strongest 21-day momentum right now.
Green background = RISK ON regime (growth environment)
Red background = RISK OFF regime (defensive environment)
Black = NEUTRAL
Label shows the current regime and the strongest asset on momentum.
Use it to:
• Identify the current leader among gold, silver, and BTC
• Hold the strongest — consider trimming it if you need fiat for a purchase (it’s spiking)
Works well alongside my original "Best Metal to Sell → More BTC" indicator for rotation decisions.
No forced rotation — just clarity for long-term hard-asset holders.
2020–2025 backtest (holding strongest on signals): strong outperformance vs HODL metals, smoother than pure BTC.
Not financial advice.
STOC Trend Analysis for F&O
For Long Term trend Analysis.
I have added three STs for long term investments. This indicator absorbs the short term volatility.
//Follow me on Twitter @STOC_Master//
This indicator is provided for educational and informational purposes only.
It does not constitute financial advice, investment recommendations, or trade signals.
The creator and Systematic Traders Club are not responsible for any financial losses resulting from the use of this indicator.
Trading and investing involve risk. Always do your own analysis and use proper risk management.
Pro Minimalist ATR (Black)The script I provided is a tool that automatically calculates and displays volatility "zones" around the average price. Here is the plain English explanation of what it is doing and why:
1. The Anchor: 20 DMA (The "Fair Value")
The script starts by calculating the 20-Day Moving Average (20 DMA).
What it represents: Think of this as the "fair price" or the "center of gravity" for the market over the last month.
In the script: It looks at the closing price of the last 20 candles, adds them up, and divides by 20. This is your baseline.
2. The Ruler: ATR (The "Volatility")
Next, it measures the Average True Range (ATR) over the last 14 days.
What it represents: This measures the "energy" or "noise" of the market. If candles are huge, the ATR is high. If candles are tiny, the ATR is low.
Why we use it: Using a fixed number (like $50) doesn't work because stocks move differently. ATR adapts to the current market mood.
3. The Zones: +1, +2, -1, -2
The script then takes that "center" (20 DMA) and adds/subtracts the "ruler" (ATR) to create four distinct levels:
+1 ATR: This is the "Upper Normal" limit. Price hanging here is bullish but normal.
+2 ATR: This is the "Extreme" limit. Statistically, price rarely stays above this line for long without snapping back. This is often an overbought signal.
-1 ATR: This is the "Lower Normal" limit.
-2 ATR: This is the "Extreme" discount. If price hits this, it is statistically stretched far below its average.
4. The Visuals: "Clean" Labeling
Finally, the script focuses on presentation:
No Lines: It specifically avoids drawing lines all over your history to keep your chart clean.
Dynamic Labels: It creates text labels only on the very last bar (the current moment). It constantly deletes the old label and draws a new one as the price moves, so it looks like the text is "floating" next to the current price.
Axis Marking: It forces marks onto the right-hand price scale (display=display.price_scale) so you can see the exact price levels (e.g., 154.20) without having to guess.
D2E + Bands (Distance to EMA)D2E (Distance to Daily EMA)
Concept and Underlying Calculation This indicator is built on the theory of Mean Reversion. It operates on the premise that price acts like a rubber band; while it can stretch away from its average value, it rarely stays at extreme extensions for long periods without snapping back (retracement) or pausing to let the average catch up (consolidation).
Unlike standard deviations (Bollinger Bands) or ATR channels, this script uses Fixed Percentage Thresholds relative to a Multi-Timeframe Daily EMA.
How it Works (The Math)
Multi-Timeframe Data: The script specifically requests the Daily (1D) Exponential Moving Average (default length 20) regardless of the timeframe you are currently viewing. This allows day traders on a 5-minute or 15-minute chart to see their position relative to the macro Daily trend.
Distance Calculation: It calculates the variance between the current Close price and the Daily EMA using the formula: 100 * (Close - DailyEMA) / DailyEMA.
Projected Zones: It plots theoretical bands at user-defined percentage distances (e.g., 3% and 6%) above and below the Daily EMA.
How to Use
Trend Extension: When price interacts with the "Threshold %" (Yellow), it indicates the asset is becoming overextended relative to its daily mean. This often serves as a take-profit target for trend followers.
Reversal Signals: Interaction with the "Extreme Threshold %" (Red) suggests a statistically significant deviation, often signaling an exhaustion point where a mean-reversion trade (returning to the EMA) becomes probable.
The Dashboard: A dynamic table is included to provide real-time data on the exact dollar amount and percentage distance from the EMA, color-coded to match the severity of the extension.
Features and Settings
EMA Length: Customizable lookback period for the Daily EMA (Default: 20).
Thresholds: Adjustable percentage settings for standard and extreme deviations.
Visuals: Toggleable threshold lines and a customizable on-screen dashboard (position and size).
Alerts: Pre-configured alert conditions for crossing both standard and extreme thresholds.
Disclaimer This tool is for informational purposes only and does not constitute financial advice. Past performance of mean reversion strategies does not guarantee future results.
Participation Engine Pro v1
Participation Engine — Market Participation & Risk Context
Participation Engine is a context-driven market indicator designed to measure participation quality, efficiency, and commitment — independent of direction or trade setups.
Instead of generating buy/sell signals, this tool focuses on a more structural question:
“How well is the market currently participating — and where do early signs of stress, exhaustion, or distribution appear?”
What the Indicator Analyzes
Participation Engine combines three internal dimensions:
Activity — How much effort and energy is currently present in the market
Efficiency — How much meaningful progress results from that effort
Commitment — How stable and sustainable the movement appears
These components are evaluated together to derive market participation states, visualized as soft, layered background zones.
Market States
DORM (Dormant) — Low participation, limited usable context
ACC (Accumulating) — Increasing activity, early buildup phase
ENG (Engaged) — High participation and efficiency, active market
EXH (Exhausting) — High effort with declining efficiency (warning)
DIST (Distributing) — Structural weakness / elevated risk (warning)
⚠️ EXH and DIST are not trade signals.
They represent contextual warnings, often occurring inside otherwise strong market phases.
Visual Design & UX
Soft, multi-layered state shading for instant context
Smooth transitions between market states (no abrupt color changes)
Warning heat overlays for EXH / DIST, even within active states
Pane-below design to keep the price chart clean
Optional candle tinting to align chart visuals with participation context
The visual language is intentionally calm, supporting decision-making rather than driving impulsive action.
How to Use Participation Engine
Participation Engine is not a standalone signal generator.
It is designed to function as a context layer, for example:
Filtering existing entry/exit setups
Assessing when to trade aggressively vs. defensively
Supporting risk and trade management decisions
Complementing structure, trend, range, or volatility tools
Typical questions it helps answer:
Is the market currently tradable or inactive?
Is momentum still supported by participation?
Are early signs of stress emerging beneath the surface?
Customization
Multiple sensitivity presets (Conservative / Balanced / Sensitive)
Fully customizable colors and transparency
Optional Activity / Efficiency / Commitment lines
Adjustable warning intensity
Not only a Supertrend [by Oberlunar]Oberlunar’s Not only Supertrend is designed for traders who need something that stays reactive in fast regimes without collapsing when the tape turns discontinuous—volume gaps, microstructure noise, sudden volatility shocks.
The design goal is to approximate market regime dynamics by combining a probability-like regime score (a bounded Bayesian-style posterior from multiple evidence) with a measure of regime impulse (the Kalman-filtered step/change in evidence).
For ETF-like tapes, it models second-order behaviour: volatility expansion vs contraction, persistence of the expansion, and participation/flow confirmation proxies (via multi-broker OHLCV pressure dominance), to reduce sensitivity to transient spikes.
There is no type of lookahead bias or repaint:
More or less 2 R in a 10-minute chart...
The core signal is built around two regime proxies that are intentionally different, so they don’t fail in the same way when the tape gets stressed.
The first proxy looks at realised volatility computed from log-returns, then maps it into a rolling percentile range. Framing volatility this way keeps it scale-free and easier to compare across instruments and across very different volatility states, and it also helps avoid the typical warping you can get from raw ATR-like measures when the market produces abrupt jumps.
The second proxy focuses on Bollinger Band width, but not in absolute terms: it measures the width relative to its own EMA baseline, and then compresses that ratio through a logistic mapping. This keeps the regime evidence continuous, smoothly saturating, and far less prone to “threshold artefacts” where a tiny change flips the state.
Put together, these two pieces produce an “ expansion base ” and a “ contraction base ” that stay bounded and well-behaved, even when price action prints discontinuities.
Then, directional bias is handled as a soft prior that can lean the model without overpowering it. In practice, a weighted multi-timeframe RSI builds a probability-like prior over long versus short bias, so the engine can express partial conviction and gracefully reconcile conflicts across timeframes instead of forcing a single, binary view.
That separation matters in situations where directional edge and volatility regime edge are related but not the same thing. The design keeps them coupled—so strong direction can reinforce regime confidence—but it does not collapse them into one signal.
For that reason, the system works with four parallel channels— expansion-long, expansion-short, contraction-long, contraction-short —as continuous evidence streams. And when price breaks the Bollinger bands, it’s treated as a conditional boost to the relevant evidence instead of an absolute trigger, which helps reduce false positives during noisy, stop-run style breakouts.
You can use a not only Supertrend line style with signals...
...or just follow its planes and their breakout, such in the following example:
To keep the system resilient to gaps and one-bar anomalies, the raw evidence doesn’t go straight into decisions: it is first passed through an alpha–beta Kalman update. In practical terms, this acts as a lightweight state-space tracker that follows both the level of the evidence and its drift .
The level is your smoothed, probability-like regime proxy. The drift is the key ingredient for options, because it captures how quickly the regime is changing—what you can reasonably describe as the acceleration of the transition.
Crucially, the script doesn’t just compute that internally and forget it: it explicitly takes the step of the filtered state, normalises it, and uses it as a feature. That lets the engine distinguish between a regime that is high but basically flat, and a regime that is actively ramping. And because one-bar spikes can still happen, the step feature is bounded, so it can react to real transitions without overreacting to a single print.
The final confidence layer is produced with a Bayesian-style update that treats both the prior and the incoming evidence as **pseudo-counts in a Beta distribution**, and then uses the **posterior mean** as the final probability-like score. The prior is derived from the weighted multi-timeframe RSI: the script maps the weighted RSI into a smooth probability via a sigmoid (`rsiPriorLong`), and uses its complement for short bias (`rsiPriorShort`).
The likelihood is built per channel, and it is deliberately simple and bounded. For expansion, the likelihood combines the Bollinger expansion signal with the normalised Kalman step , using user-controlled weights. Contraction does the same with the corresponding contraction signals. Small conditional boosts are then applied when the price breaks the bands (or stays inside them), but these boosts remain incremental rather than flipping the state.
The two strength parameters, `kPrior` and `kLike`, control how “ sticky ” this posterior is. A higher `kPrior` makes the posterior lean more strongly on the RSI-based belief and therefore move more smoothly. A higher `kLike` gives more authority to the incoming evidence (BB regime + Kalman step), so the posterior adapts faster when conditions change.
In effect, this is a practical calibration layer: instead of stacking indicators and hoping they agree, the script converts each component into bounded evidence, fuses them into a single posterior mean, and exposes explicit controls for stability versus responsiveness—exactly the trade-off you typically care about when dealing with convex instruments, where you want confidence to be reactive, but not fragile.
Bands filled by expansion Bayesian posterior:
Because regime detection alone isn’t enough to avoid whipsaws, the script adds an adaptive “lane supertrend” layer. This supertrend layer is not built upon a classic ATR. Instead of operating on price distance, it operates on posterior imbalance : the engine computes a net score as the difference between bullish and bearish posteriors (`netE = postEL - postES` for expansion and `netC = postCL - postCS` for contraction), and that net is what drives direction.
Direction changes are then gated by an adaptive deadband .
In turn, the deadband is not fixed: it expands or contracts based on two things that already exist in the model— posterior confidence (e.g., `confE = max(postEL, postES)`) and regime intensity (e.g., `regE = volPct01`, and the complementary contraction regime). Those are mixed to produce `dbE` and `dbC`, which act like a hysteresis zone around neutrality.
When the posterior is indecisive and the regime is noisy, the deadband effectively widens, so small oscillations around zero don’t cause constant flips. When the posterior becomes decisive, the deadband tightens, and the direction logic becomes more responsive.
On top of that, flips are not allowed instantly: the script uses a flip-confirm counter that requires the net score to stay beyond the deadband for multiple bars before a direction switch is accepted. This prevents the engine from toggling on micro-oscillations and single-bar disturbances.
Visually, the “lane” is explicitly mapped into price space .
In detail, the script builds a lane geometry using ATR as a vertical scale, then projects the net posterior into the expansion and contraction band. With optional trailing enabled, the lane value is further “supertrend-like”, so what you see on the chart reads as a probabilistic supertrend line —a line whose position and persistence reflect posterior imbalance—rather than a raw volatility expression.
Finally, to address real-world tape issues (discontinuities, fragmented liquidity, venue noise), the script integrates a multi-broker Volumetric Dominance filter as an additional gate. It aggregates multi-broker OHLCV, derives a pressure-like proxy, and only allows certain triggers when cross-broker dominance is sufficiently aligned—so the system is less likely to react to isolated prints that aren’t supported by broader participation.
Once dominance is both directional and concentrated, the filter becomes a hard regime-consistency gate. If dominance is meaningfully bearish, the script blocks bullish expansion triggers and symmetrically blocks bearish expansion triggers when dominance is bullish. In other words, it’s not trying to “confirm” signals after the fact; it enforces a consistency constraint between volatility-expansion regime and cross-venue participation direction, specifically to reduce the exact kind of false positives that can wreck options entries: apparent volatility expansion occurring into opposing flow.
Thus, this is not only a Supertrend. It’s a bounded, smooth regime engine with an outlier-resistant “acceleration” step, a Bayesian-style posterior with tunable inertia, and a dominance gate that blocks expansion signals when multi-venue pressure points the other way.
It can still fail—no proxy fully captures the tape, and any filter can lag or miss abrupt turns—but I think it’s a framework worth exploring for more informed entries across assets: responsive in fast regimes, yet less fragile around gaps and volatility shocks.
Enjoy!
by Oberlunar 👁★
Stoch X vs Stoch Y (RSI-based)This script plots two RSI-based Stochastic oscillators in the same panel:
X (fast) is a classic Stoch RSI “trigger” line pair (K and D) using one RSI length and one Stoch length. It reacts quickly and is meant for timing.
Y (slow) is a structure Stoch RSI pair (K and D) built by averaging 28 Stoch-RSI calculations across multiple lookback lengths, then smoothing the result. It’s meant to show broader, higher-order momentum rather than the latest swing.
For Y’s lookback set, you can choose:
Fib: a predefined “fib-like” 28-length ladder,
14 + (i * 10): a linear ladder of 28 lengths,
Custom: 28 user slots with individual on/off toggles.
In Style, you can independently control each line’s color, thickness, and plot style (line/step/line break) for X-K, X-D, Y-K, and Y-D. It also adds five optional horizontal reference levels at 0, 20, 50, 80, 100 (0/100 solid, 20/50/80 dotted).
VSA Simple VolumeThe VSA Volume Indicator is especially useful for understanding institutional activity and improving decision-making by confirming trends or spotting early signs of market manipulation.
Volatility RadarVolatility Radar: Script Summary
The **Volatility Radar** is a real-time TradingView dashboard designed to decode dealer positioning by fusing structural VIX analysis with options flow. Instead of treating volatility as a static number, it categorizes the market into distinct regimes—supportive "Green Rooms," noisy "Grey Channels," or dangerous "Red Rooms"—to determine whether options flow represents genuine momentum or a dealer hedging trap.
Recent upgrades have transformed the script from a passive monitor into an active threat detection system. It now features a **Velocity Check** that instantly overrides standard confirmation timers during sudden VIX spikes, **Gatekeeper Logic** to identify regime breakout events, and a **Dealer Reality Check** that flags "Trap Risks" when call buying occurs directly into high-velocity resistance.
### Detailed Mechanics: Velocity & Gatekeeper Logic
**The Velocity Check (The "Speed Trap")**
Standard indicators often lag because they wait for candle closes or fixed time intervals (e.g., a 10-minute confirmation rule). The Velocity Check bypasses this by monitoring the *rate of change* in the VIX over a rolling 5-bar window. If the VIX moves more than **0.40 points** in this short timeframe, the script triggers an "Immediate Override." This acknowledges that high-velocity moves—whether spikes or crushes—force dealers to re-hedge instantly, making the standard wait times dangerous. If the velocity threshold is breached, the script flashes a lightning bolt icon (`⚡`) and treats the move as confirmed immediately.
**The Gatekeeper Check (The "Zone Logic")**
Rather than viewing volatility as a simple high/low binary, the Gatekeeper logic defines a "Neutral Zone" (Grey Channel) bounded by specific "Gates" (e.g., 14.78 and 15.26).
* **Inside the Gates:** The market is considered to be in "Chop/Noise," where directional signals are unreliable and often result in whipsaws.
* **Crossing the Gates:** The logic specifically watches for *breakout events*. A move from the Grey Channel into the "Red Room" (>Bear Chop) signals a **Bearish Breakout**, immediately flipping the script's interpretation of "Buying Pressure" from bullish momentum to a "Trap Risk" (dealers selling into resistance). Conversely, a breakdown into the "Green Room" (
Rumiancev Reaction ZonesRumiancev Reaction Zones
Rumiancev Reaction Zones (RRZ) is a clean, non-signal overlay that highlights potential reaction areas — places where price often slows down, bounces, or becomes stretched relative to the current market range.
RRZ is NOT a trading bot. It does not provide guaranteed entries/exits. Use it as a context tool alongside your own confirmation (structure, trend bias, momentum/volume, etc.).
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WHAT IS DRAWN ON THE CHART
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🔵 Blue Zone • Buy Area (Filled Band)
A lower reaction band (“discount / downside stretch”).
• Upper edge: Blue Zone • Buy Area (blue line)
• Lower edge: Blue Zone • Lower Band (hidden band edge)
When price enters this band, reactions become more likely (bounces, stabilization, reclaim moves).
🟠 Orange Zone • Sell Area (Filled Band)
An upper reaction band (“stretch / upside extension”).
• Lower edge: Orange Zone • Sell Area (orange line)
• Upper edge: Orange Zone • Upper Band (hidden band edge)
When price reaches this band, pauses, pullbacks, or distribution can appear.
⚪ Guide Line (Gray)
A neutral reference line inside the structure. Helps to judge whether price is closer to “discount” (Blue side) or “stretch” (Orange side).
🟢 Deep Line (Green) — Aggressive Context (NOT a zone)
A deeper downside reference line (green), not a filled band.
If price reaches it, conditions are typically more volatile and risk is higher. Treat it as a high-risk context line, not an automatic entry.
🔴 Orange Extreme (Red) — High Extension (NOT a zone)
A high-extension reference line above the Orange Zone. Often used as a strong risk-reduction context after extended upside moves.
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HOW TO USE RRZ (PRACTICAL FRAMEWORK)
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1) Blue Zone approach (potential entries)
• When price enters the Blue Zone , wait for confirmation first (rejection wick, reclaim back above the zone edge, local structure holding).
• Consider scaling in gradually rather than entering full size at once.
• If price continues deeper toward the green Deep Line , treat it as higher risk and act only if your plan and risk limits allow it.
2) Orange Zone approach (potential exits)
• When price reaches the Orange Zone , many traders consider partial risk reduction (scale out, protect profit, tighten stops).
• Near the red Orange Extreme line, many traders consider stronger risk reduction (up to closing most/all), especially after impulsive runs.
IMPORTANT: RRZ marks areas , not entries. Always define invalidation (stop/idea failure point) and position size before acting.
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CONFIRMATION IDEAS (SIMPLE)
────────────────────────────────────────
• Rejection wicks / reclaim back above a zone edge
• Break & retest of local structure
• Momentum/volume shift you personally trust
• Alignment with higher-timeframe direction
────────────────────────────────────────
SETTINGS
────────────────────────────────────────
• Depth → sensitivity (lower = more reactive, higher = steadier)
• Smoothness → adaptation speed (lower = faster, higher = smoother)
• Zone Width → thickness of the Blue/Orange fills (visual width)
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EXAMPLES (CHART IMAGES)
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Example 1 — Orange Zone reaction (Daily)
Price pushes into the Orange Zone (stretch area), then cools off and rotates lower. RRZ helps visualize this as a place to watch for rejection or profit-taking context.
Example 2 — Repeated cycles (Daily)
Multiple cycles where touches into the Orange Zone often coincide with pauses/pullbacks, while dips into the Blue Zone tend to act as reaction areas during corrections.
Example 3 — Blue Zone reaction after a sell-off (4H)
A sharp move pushes price into the Blue Zone , followed by stabilization and reaction. The Orange Zone remains overhead as the next upside stretch region to monitor.
────────────────────────────────────────
NOTES
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• Zones are dynamic and update as new market data forms.
• No future-looking data (“lookahead”) is used.
────────────────────────────────────────
DISCLAIMER
────────────────────────────────────────
This script is for educational and informational purposes only and is not financial advice. Trading involves risk. No indicator can guarantee results.
LiquidityPulse MTF Intrabar Micro-Structure Absorption DetectorLiquidityPulse MTF Intrabar Micro-Structure Absorption Detector
Non-repainting: Markers appear on bar close and do not change.
Important (if you can’t see any markers)
This indicator measures intrabar micro-structure and it can use seconds-based micro data on lower timeframes.
If you load it and don’t see anything:
Go to 15m or higher, or
In settings, change Micro feed (inside HTF bar) from Auto to 1m / 5m / 15m.
Auto will often choose a “micro” feed that’s very small when your HTF is small, which can affect what you see.
What this indicator does
This script is designed to highlight absorption-like conditions by analysing what happens inside each higher-timeframe (HTF) candle — not just the candle’s OHLC.
It looks for candles where:
price moves a lot internally (high intrabar activity),
the candle structure shows churn / rejection (wick dominates body),
and participation is elevated (relative high volume).
When those conditions align, the indicator prints a marker line at the wick extreme:
LW (Lower-wick marker) = printed at the candle’s low
UW (Upper-wick marker) = printed at the candle’s high
Each marker is then extended to the right (so it can be treated like a potential level).
Image shows a wick-dominant candle with an absorption marker: Markers appear when price shows strong intrabar movement, a wick-dominant candle structure, and elevated participation — a combination often associated with absorption-like behaviour.
How it works
A marker is created only when all three filters pass on a confirmed candle close:
1) Intrabar micro-speed (internal activity)
The script pulls intrabar closes from a lower timeframe (“micro feed”) and sums the absolute internal price changes inside the HTF candle.
It then converts this to a Z-score and checks it against the Speed-z threshold.
Higher threshold = fewer, stronger events.
2) Wick vs body (churn / rejection structure)
This measures how the HTF candle’s internal range compares to its net close-to-open movement using:
Churn ratio = (HTF range) / (HTF body)
If the candle has a large range but a relatively small body, it indicates that price moved extensively during the candle but made limited net progress by the close — a structure often associated with active two-sided participation and absorption-like behaviour.
3) Relative HTF volume (participation filter)
The script also Z-scores HTF volume and requires it to exceed the Volume z-score threshold.
This helps filter out candles that show apparent activity but occur on relatively low participation.
Multi-timeframe + micro-structure analysis: Image shows a 15 minute chart marker on the 1 minute timeframe. The indicator can analyse higher-timeframe candles (15 minute) while using lower-timeframe micro data inside each bar (1 minute). This allows absorption-style markers to be plotted with higher-timeframe context and intrabar detail.
Composite Intensity
When a marker triggers, the script calculates a Composite Intensity number (CI):
It’s a combined score based on how strongly each of the three conditions exceeded its threshold.
Higher CI = stronger absorption-style event
Higher CI = brighter chart marker
The table shows:
HTF and Micro timeframes being used
the last marker type (LW or UW)
the last CI value
Micro feed & multi-timeframe behaviour
This indicator always works as a two-layer system:
HTF candle (context) → the candle you’re analysing
Micro feed (inside HTF bar) → the intrabar data used to measure micro-speed
Higher-TF source
Chart timeframe = uses your chart timeframe as HTF
Manual = choose any HTF (example: chart = 1m, HTF = 15m → prints 15m absorption markers onto a 1m chart)
Micro feed options
Auto (recommended) picks a sensible micro feed based on HTF
Or choose 1s / 1m / 5m / 15m manually for performance/clarity
HTF direction filter (optional)
When enabled:
LW markers only print when the HTF candle closes bullish
UW markers only print when the HTF candle closes bearish
This is optional and is designed to reduce noise by aligning markers with the directional bias of the higher-timeframe candle.
Traders can use the absorption markers to:
Identify potential areas of interest where price showed unusually high intrabar activity but limited net progress by the close.
Mark reference levels where price may react again later, reflecting prior elevated participation and extensive intrabar movement areas.
Add structural context to existing analysis such as trend structure, support/resistance, session highs/lows, or other volume-based tools.
Compare behaviour across timeframes, by observing how absorption-style events on a higher timeframe align with lower-timeframe price action.
Image shows price reacting to a previous absorption markers level (Lines/ levels can be extended in the settings): Extended LW / UW markers can be observed as areas of prior absorption-like activity. Traders may watch how price behaves around these levels (reaction, acceptance, or rejection) alongside their own structure, liquidity, or risk management tools.
Key settings (what they change)
Higher-TF source / Higher-TF bar (manual): which candle timeframe is analysed
Micro feed (inside HTF bar): what intrabar resolution is used to calculate micro-speed
Speed-z threshold: how unusual intrabar activity must be
Wick/Body threshold: how large the candle’s total range must be compared to its body
Volume z-score threshold: how elevated HTF volume must be
Z-score look-back: how far back the indicator normalises speed/volume
Line extension (bars): raise if you want markers to behave more like extended levels
Max markers: how many markers remain on the chart at once
Alerts
Alerts trigger on candle close when an absorption marker is detected.
Disclaimer
This indicator does not measure true order flow or the full limit order book. It uses intrabar price activity, candle structure, and relative participation as interpretive tools to highlight absorption-like behaviour. It is not a buy/sell system, and all signals should be used with traders own confirmation and risk management.
Breakout Open Range (ORB) v3.3This is an advanced version of the classic Open Range Breakout (ORB) strategy, designed for precision and ease of use. It automatically identifies the initial volatility range of a trading session (e.g., London or New York Open) and projects clear Breakout and Take Profit levels.
v3.3 Update: Optimized for a cleaner chart and easier configuration.
KEY FEATURES:
1. User-Friendly Time Input:
No more typing complicated session strings! Now you can simply select the Start Hour/Minute and End Hour/Minute using easy number fields in the settings.
2. Clean Chart Logic (New):
The indicator now automatically resets all lines at the start of a new day. The chart remains completely empty until your defined start time (e.g., 15:30), preventing old levels from cluttering the pre-market view.
3. 1:1 Take Profit:
Automatically calculates and plots a Take Profit level based on a 1:1 Risk/Reward ratio relative to the range size.
*Note:* TP lines appear only AFTER the range formation is complete to maintain visual clarity.
4. Dynamic Price Labels:
Displays exact price levels on the right side of the chart for:
- Entry (Long/Short)
- Stop Loss positions
- Take Profit targets
- Total Range Size
HOW IT WORKS:
1. Define your Open Range time in the settings (e.g., 15:30 to 16:15).
2. The script draws the High and Low of this period.
3. Wait for a candle to close outside the range:
- Breakout Above = Long Signal (Target: Blue Upper Line)
- Breakout Below = Short Signal (Target: Blue Lower Line)
SETTINGS:
- Timezone & Session Hours (simple number inputs)
- Toggle visibility for Lines, Background, TP, and Labels
- Fully customizable colors
Perfect for day traders looking for an objective, automated way to trade the opening bell volatility.
STOP_TRADING_MODE📘 Release Notes
STOP_TRADING_MODE — Stable Release
Version: 1.0.0
Status: Stable / Production-ready
⸻
🎯 Purpose
This indicator is designed to identify market regimes, not to generate constant trade signals.
Its primary goal is to protect the trader from low-quality environments and highlight rare, high-quality interaction points with equilibrium.
⸻
🧠 Core Concepts
• STOP Mode — identifies impulsive, dangerous, or one-sided market conditions
• Equilibrium (MID / EQ) — represents the auction balance, not a trend level
• MAGNET vs SPRING — distinguishes range behavior from trend behavior
• EQ_HOLD — highlights valid reactions at equilibrium only in a range-friendly environment
⸻
✅ What’s Included
🔴 STOP Mode (Background Only)
• Red background marks:
• volatility spikes (ATR expansion)
• impulsive candles
• one-directional movement
• No entry signals
• Used strictly as a risk-environment filter
🟨 MID (Equilibrium Line)
• Calculated as SMA of HL2
• Acts as:
• Magnet in ranging markets
• Spring in trending markets
• Not a trade trigger by itself
🔁 MAGNET / SPRING Regime Detection
• Based on:
• frequency of MID crossings
• time spent near equilibrium
• market “trendiness” ratio
• Regime labels appear only when the regime changes
• Prevents constant label repainting or noise
🟢 EQ_HOLD Signal (Rare by Design)
• Triggered only when:
• STOP mode is OFF
• MID behaves as MAGNET
• price reacts cleanly at equilibrium
• Designed for micro-scaling / position management, not aggressive entries
• Low frequency = high informational value
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🚫 What Was Removed (By Design)
• No STOP / STOP_OFF labels on chart (alerts only)
• No constant signal spam
• No reliance on trend prediction
• No “buy/sell” prompts
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🎛 UI & Usability Improvements
• Clean, minimal visual layout
• Color logic aligned with meaning:
• 🔴 Risk / danger
• 🟨 Balance / structure
• 🟢 Action-permitted condition
• Optional toggles for regime and EQ_HOLD labels
⸻
🧪 Known Behavior (Not Bugs)
• MID crossing does not immediately change regime
• STOP may activate after entry — this signals risk management mode, not exit
• EQ_HOLD appears infrequently by intention
⸻
🧩 Intended Usage
• Best suited for:
• range-aware traders
• scale-in / scale-out strategies
• discretionary decision support
• Not intended for:
• high-frequency trading
• signal-following automation
• prediction-based entries
⸻
🧠 Design Philosophy
“Silence is a feature.”
If the indicator does nothing —
the market likely offers nothing worth doing.
H1 Liquidity Sweep Tracker🇬🇧 English: H1 Liquidity Sweep Tracker
Overview
The H1 Liquidity Sweep Tracker is a technical analysis tool designed for TradingView (Pine Script v5). It identifies "Liquidity Sweeps"—market movements where the price briefly breaches a significant level to trigger stop-loss orders before reversing.
Core Functions
H1 Level Detection: Regardless of your current timeframe (e.g., 1m, 5m, or 15m), the script automatically fetches the High and Low of the previous 1-hour candle.
Real-Time Monitoring: It tracks price action relative to these levels to identify failed breakouts.
Visual Indicators:
Horizontal Lines: Displays the H1 High (Red) and H1 Low (Green) from the previous hour.
Sweep Shapes: A triangle appears above/below the candle when a sweep is detected.
How it Works (The Logic)
A "Sweep" is triggered when the current price moves beyond the H1 boundary but fails to maintain that position:
Bullish Sweep: The price drops below the previous H1 Low (collecting sell-side liquidity) but closes back above it. This suggests a potential upward reversal.
Bearish Sweep: The price rises above the previous H1 High (collecting buy-side liquidity) but closes back below it. This suggests a potential downward reversal.
