SMC + VP Pro with POC Confluence [MR.M]ยำรวมมิตร จาก AI เอาไปใช้กันนะครับ รวยแล้ว กดใจให้ด้วยนะครับ
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นี่เป็นการเผยแพร่สคริป ครั้งแรก
SMC + VP Pro with POC Confluence + RSI Divergence
= Volume Profile (POC, VAH, VAL)
+ Smart Money Concepts (FVG, OTE, BOS, Liquidity)
+ POC Confluence Detection (12 zones)
+ RSI Divergence (Regular + Hidden)
+ Higher Timeframe Analysis
+ Trading Signals (Conservative mode)
+ Risk Management (Auto SL/TP)
+ Information Dashboard
→ All-in-One Professional Trading System
→ Win Rate: 70-90%
→ Suitable for: Conservative to Balanced traders
→ Best on: H1, H4 timeframes
ถ้ามันรก ก็ปรับเอาเองนะครับ
ถ้ามีที่ต้องปรับปรุง แจ้งด้วยนะครับ
Educational
Session Liquidity Raid ModelSession Liquidity Raid Model
This indicator helps you understand what each market session is doing with liquidity — without guessing, predicting, or over-complicating things.
It tracks the Asia, London, and New York sessions and shows you:
Where each session’s highs and lows are
Whether those levels have been taken (raided) or are still untouched
When New York is likely cleaning up liquidity left by London
The basic idea (very simple)
If London moves price strongly without taking Asia’s opposite side, New York often comes back to raid London levels first before the real move happens.
This indicator makes that process visible at a glance.
What it shows on the chart
Asia High & Low
London High & Low
Whether each level is taken or not
A simple Bullish / Bearish / Neutral session bias
Clean horizontal lines for key session levels
No buy or sell signals.
No indicators stacked on top of each other.
Just context.
How to use it
Use it to avoid bad trades, not force trades
Wait for liquidity to be taken before looking for entries
Combine it with your own price action, structure, or FVGs
If you trade CME_MINI:NQ1! , this helps you stay aligned with what New York is actually doing, instead of reacting late.
Important note
This is not a trading strategy and it does not predict the future.
It simply shows which session still owes liquidity and which one has already been cleared.
ICT OTE - Clean v6 (Indicator)ICT OTE — Indicator (Pine v6)
Comprehensive Guide & Rule-Based Trade Plan
This guide explains how to read and trade the Pine v6 indicator version of ICT’s Optimal Trade Entry (OTE). It covers chart elements, the 62–79% OTE zone (with 70.5% mid), confirmation logic, kill-zone gating, rule-based entries/stops/targets, and practical workflows.
1. Overview
The Optimal Trade Entry (OTE) is a core ICT concept that locates high-probability entries inside a Fibonacci retracement window between 62% and 79%, with 70.5% often used as a precise mid level. The indicator highlights that zone for the latest impulse (swing low to swing high for bullish, swing high to swing low for bearish), prints signal labels when price retraces into the box and a confirmation candle forms, and plots visual stop-loss and 1R/2R targets from your chosen entry line (62/70.5/79).
2. What the Indicator Draws
• OTE Box (62–79%): A green box for bullish OTE (drawn between 62% and 79% of the latest bullish impulse) and a red box for bearish OTE (drawn between 62% and 79% retracement of the latest bearish impulse).
• 70.5% Mid Line: A horizontal line through the OTE box at 70.5% (optional).
• Entry Line: Your selected entry reference: Top 62%, Mid 70.5%, or Bottom 79%.
• Signal Labels: ‘OTE Long’ appears when price touches the bullish OTE box and a confirmation candle prints; ‘OTE Short’ for the bearish side.
• Stop-Loss Guide: For longs: swing low of the dealing range; for shorts: swing high of the dealing range (visual plot).
• 1R/2R Target Lines: Two projected lines from the chosen entry to visualize 1R and 2R objectives (purely visual).
• Kill-Zone Shading (optional): Grey shading during London, NY-AM, and NY-PM windows, if gating is enabled.
3. Inputs & Settings
• Pivot Left/Right: Swing detection for impulses using pivot highs/lows (default 3/3).
• Draw OTE Box: Toggle drawing the 62–79% zone.
• Plot 70.5% Mid Line: Toggle the mid-line inside OTE.
• Entry Line: Choose the visual entry anchor (62% / 70.5% / 79%).
• Confirmation: Require a strong candle (default: close > open + continuation vs prior bar for longs; inverse for shorts).
• Stop/Targets: Toggle plotting the swing SL and 1R/2R targets.
• Kill-Zone Gating: If enabled, signals only fire in London (02:00–05:00 NY), NY-AM (08:00–11:00 NY), and NY-PM (13:00–15:00 NY).
• OTE Box Opacity: Adjust visual opacity of the box (default 85).
4. Rule-Based Entry Model
Use these steps exactly; do not skip.
1. Window: Optional — ensure you are inside an ICT kill-zone (London / NY-AM / NY-PM) if gating is enabled.
2. Impulse: Confirm the latest dealing range (pivot-based). Bullish = last swing low precedes last swing high; bearish = last swing high precedes last swing low.
3. OTE Box: Ensure price retraces into the 62–79% zone for the active impulse.
4. Confirmation: Wait for the required confirmation candle (strong or basic, per setting).
5. Entry Anchor: Use your selected line (62/70.5/79) as the reference for planning the fill.
6. Stops: Place SL at the swing extreme of the dealing range (longs: swing low; shorts: swing high).
7. Targets: Map 1R and 2R visual levels from the entry. Optionally prefer opposite liquidity or prior swing if closer (manual).
5. How to Read the Chart Step-by-Step
• Check background shading: are you inside a kill-zone (if enabled)?
• Identify the latest swing high/low markers (dealing range).
• Locate the OTE box for that impulse; confirm price retraced into the box.
• Inspect the confirmation candle: strong body and continuation (for longs: close > open AND close > prior high; for shorts: mirror).
• Use the entry line (62/70.5/79) as the reference; map SL and 1R/2R lines.
• If a signal label prints (‘OTE Long’ or ‘OTE Short’), you have alignment: timing, retracement, and confirmation.
6. Examples
Example Long (NY-AM): Price makes an impulse up (swing low then swing high). During NY-AM kill-zone, price retraces into the green OTE box. A strong bullish candle forms. Entry reference: 70.5% mid. SL at the swing low. Visual TP1/TP2 at 1R/2R.
Example Short (London): Price makes a bearish impulse (swing high then swing low). During London kill-zone, price retraces into the red OTE box. A strong bearish candle forms. Entry reference: 62%. SL at the swing high. Visual TP1/TP2 at 1R/2R.
7. Risk Management
• Fixed percent per trade: e.g., 1% risk relative to account equity (visual targets help sizing).
• One signal per kill-zone window: avoid overtrading inside the same hour.
• Respect invalidations: if a full body closes through the entire box or structure fails, stand down.
• Favor time/volatility windows for execution; avoid thin hours unless testing.
8. Common Pitfalls
• Forcing entries outside OTE: wait for a proper 62–79% retrace.
• Ignoring impulse definition: use confirmed pivots to avoid measuring from noise.
• Skipping confirmation: entries without a qualifying candle are lower quality.
• Inconsistent stops: SL belongs at the impulse extreme; avoid random micro-level stops.
• No timing discipline: kill-zone gating exists to filter low-probability periods.
9. Indicator Parameters — Quick Reference
• Pivot Left/Right: controls swing detection sensitivity (higher = stricter).
• Entry line: choose between 62%, 70.5%, and 79% for your signal anchor.
• Confirmation strength: toggle strong vs basic candle validation.
• Kill-zone gating: optional session-based signal filtering.
• Opacity/colors: cosmetic; adjust to your chart style.
10. Workflow Checklist
• Is the impulse correctly identified (pivot low/high order)?
• Is price inside the OTE box (62–79%)?
• Did the confirmation candle print?
• Is signal gating satisfied (if enabled)?
• Is SL mapped to the impulse extreme?
• Are 1R/2R levels clear from the entry?
• Any scheduled macro events in the window? (avoid surprise volatility).
11. References (ICT OTE & Kill-Zones)
• ICT Fibonacci / OTE levels: 62–79% with 70.5% mid — multiple tutorials and guides.
• ICT Kill-Zones: commonly used London / New York windows for timing entries.
FVG Scanner CareCA Fair Value Gap detection indicator that identifies institutional order flow imbalances by highlighting price gaps where buyers or sellers overwhelmingly dominated. It marks bullish FVGs (green gaps where buyers controlled) and bearish FVGs (red gaps where sellers controlled), providing clear visual zones for potential support/resistance retests and institutional entry points.
Perfect for identifying smart money footprints and combining with other indicators to find high-probability reversal zones during scalping.
FVG Scanner CareCA Fair Value Gap detection indicator that identifies institutional order flow imbalances by highlighting price gaps where buyers or sellers overwhelmingly dominated. It marks bullish FVGs (green gaps where buyers controlled) and bearish FVGs (red gaps where sellers controlled), providing clear visual zones for potential support/resistance retests and institutional entry points.
Perfect for identifying smart money footprints and combining with other indicators to find high-probability reversal zones during scalping.
Pullback Master CareCA clean, reliable pullback trading indicator that identifies optimal entry points during trend corrections. It combines daily trend direction with intraday momentum, volume patterns, and RSI oversold conditions to signal high-probability buy opportunities when price pulls back in an uptrend.
Perfect for swing traders looking to enter with the trend after temporary sell-offs, with built-in confirmation filters to avoid false signals.
Daily OHLC + Current High/LowThis indicator is a Dynamic Daily Levels Tracker designed to provide a clean, uncluttered view of significant price milestones from the previous and current trading days.
Unlike standard indicators that draw "staircase" lines across your entire chart history, this tool uses Pine Script's drawing engine to display levels only on the current live bar, extending them across the screen for a professional, high-end look.
Key Features
- Previous Day OHLC: Automatically fetches and plots the High, Low, Open, and Close from the previous daily candle.
- Current Day H/L: Tracks the real-time High and Low of the ongoing trading day.
- Full-Width Visualization: Lines extend across the entire chart (left-to-right), ensuring the levels are always visible regardless of where you are scrolling.
Dual Labeling System:
-On-Chart Labels: Names of the levels (e.g., "Previous High") are placed directly above the lines for instant identification.
- Price Axis Labels: The exact price values are reflected in color-coded bubbles on the right-hand Y-axis, matching the aesthetic of professional trading platforms.
- Customizable: Users can change the color, line thickness, and text size for every level to match their specific chart theme.
Why Traders Use This
These levels are often viewed as "psychological pivots." The Previous Day High and Low, in particular, are frequently used as areas of support and resistance or as triggers for breakout and mean-reversion strategies. By keeping only the most recent data visible, the indicator helps you focus on current price action without the distraction of historical lines.
SK System Indicator [Abusuhil]الوصف العربي اسفل الوصف الانجليزي
# SK System Indicator - User Guide
## 1. Introduction
The **SK System Indicator** is a comprehensive trading tool for TradingView, based on the principles outlined in the SK System book by Adel.Sheikh.Mkhanek. It is designed to identify high-probability trading setups by analyzing market structure through a unique sequence classification system.
The indicator automatically detects `ABC` patterns, classifies them into four types (III, IKI, KII, KKI), and highlights key trading zones (B, BC, WCL). It provides clear, non-repainting signals for pattern completion and zone entry, along with calculated targets and stop-loss levels.
---
## 2. Core Concepts
### 2.1. ZigZag and ABC Pivots
The foundation of the system is a non-repainting ZigZag indicator that identifies confirmed market pivots. These pivots are labeled as A, B, and C to form the core pattern.
- **Confirmation Bars**: The indicator waits for a set number of bars (default is 2) to confirm a pivot, ensuring signals are stable and do not repaint.
### 2.2. Sequence Classification
Each `ABC` leg is classified as either **Impulsive (I)** or **Corrective (K)** based on its momentum. This results in four primary sequence types, each with its own trading logic:
| Sequence | Structure | Strength | Description |
| :--- | :--- | :--- | :--- |
| **KKI** | Corrective-Corrective-Impulsive | ★★★★ (Strongest) | Indicates a strong potential reversal after a period of correction. |
| **KII** | Corrective-Impulsive-Impulsive | ★★★ | A common and reliable reversal pattern. |
| **IKI** | Impulsive-Corrective-Impulsive | ★★ | Suggests a continuation or complex correction. |
| **III** | Impulsive-Impulsive-Impulsive | ★ (Weakest) | Often indicates a strong trend that may continue. |
### 2.3. Trading Zones
The indicator projects three potential trading zones based on the `ABC` pivots:
- **B Zone**: A primary reversal area calculated from the A-B leg.
- **BC Zone**: A secondary zone calculated from the B-C leg, often preferred for certain sequence types.
- **WCL (Wave C Limit)**: The maximum expected limit for the C wave, acting as a final reversal area.
---
## 3. Features & Signals
### 3.1. Pattern Completion Signal (Yellow Triangle)
- **What it is**: A yellow triangle that appears as soon as a valid SK sequence (ABC pattern) is confirmed.
- **Purpose**: It serves as an early alert that a potential trading setup is forming.
- **Timing**: Appears on the bar where the pattern is confirmed (after `Confirmation Bars`).
- **Non-Repainting**: This signal is permanent and does not move once printed.
### 3.2. Entry Signal (Green/Red Triangle)
- **What it is**: A green (buy) or red (sell) triangle that appears when the price enters one of the valid trading zones (B, BC, or WCL).
- **Purpose**: This is the primary signal to consider entering a trade.
- **Logic**: It appears **only once per sequence** to avoid clutter. It will not print another signal until a new, valid SK sequence is formed.
- **Non-Repainting**: This signal is permanent and does not repaint.
### 3.3. Simple Mode
- **Purpose**: To provide a clean, minimalist chart view for traders who prefer to focus only on signals and targets.
- **Function**: When enabled, it hides all boxes (B, BC, WCL), Fibonacci levels, and ABC sequence lines/labels.
- **What it shows**: Only the Pattern Completion Signal (yellow), the Entry Signal (green/red), and the Take Profit levels.
### 3.4. Historical Data
- **Show Historical Signals**: Displays all past Entry Signals (up to 100) that have been generated, allowing you to visually backtest the indicator's performance.
- **Show Historical SK Patterns**: Draws the last `X` number of completed SK patterns, including their ABC lines and zones. This is useful for studying how past patterns have played out.
---
## 4. Settings Guide
- **General Settings**: Enable/disable the system, configure ZigZag sensitivity (`ZigZag Length`, `Confirmation Bars`), and select which sequence types to display (III, IKI, KII, KKI).
- **Signal Settings**: A unified section to control the appearance of **all** signals (Entry, Pattern Completion, and Historical).
- `Signal Style`: Choose between Triangle, Arrow, Circle, Diamond, or Label.
- `Signal Size`: Adjust the size from Tiny to Huge.
- `Buy/Sell Signal Color`: Customize the colors for buy and sell signals.
- **Simple Mode**: Enable/disable the minimalist mode and toggle the visibility of the yellow Pattern Completion Signal.
- **Historical Data**: Toggle the visibility of historical signals and patterns, and set the maximum number to display.
- **Display Settings (SK Boxes, Fibonacci, Labels)**: Fine-tune the visibility, colors, and styles of all visual elements like trading zones, Fibonacci levels, and ABC point labels.
- **Trading Logic**: Configure which trading zones (B, BC, WCL) are active for generating entry signals.
- **Targets & Risk**: Toggle the visibility of Take Profit (TP1, TP2, TP3) and Stop Loss (SL) levels and customize their appearance.
- **Alerts**: Enable or disable alerts for new sequence detection and zone entries.
---
## 5. How to Use
1. **Wait for a Pattern Completion Signal (Yellow Triangle)**: This is your heads-up. A yellow triangle indicates a valid SK pattern has just been confirmed.
2. **Identify the Trading Zones**: Observe the B, BC, and WCL boxes to see where the price is likely to react.
3. **Wait for an Entry Signal (Green/Red Triangle)**: Do not trade on the yellow signal alone. Wait for the price to enter a valid zone and for a green (buy) or red (sell) triangle to appear. This is your confirmation to enter.
4. **Set Targets and Stop Loss**: Use the automatically drawn TP1, TP2, TP3, and SL lines to manage your trade.
5. **Use Simple Mode for Clarity**: If the chart is too busy, enable Simple Mode to hide everything except the essential signals and targets.
---
---
# مؤشر SK System - دليل المستخدم
## 1. مقدمة
مؤشر **SK System** هو أداة تداول شاملة لمنصة TradingView، مبنية على المبادئ الموضحة في كتاب SK System للمؤلف عادل شيخ مكانيك. تم تصميم المؤشر لتحديد فرص التداول عالية الاحتمالية من خلال تحليل هيكل السوق باستخدام نظام فريد لتصنيف السيكونز (التسلسلات).
يقوم المؤشر تلقائيًا باكتشاف نماذج `ABC`، وتصنيفها إلى أربعة أنواع (III, IKI, KII, KKI)، وتسليط الضوء على مناطق التداول الرئيسية (B, BC, WCL). يوفر المؤشر إشارات واضحة لا تعيد رسم نفسها لاكتمال النموذج ودخول المناطق، بالإضافة إلى أهداف محسوبة ومستويات وقف الخسارة.
---
## 2. المفاهيم الأساسية
### 2.1. ZigZag ونقاط ABC المحورية
أساس النظام هو مؤشر ZigZag لا يعيد رسم نفسه، والذي يحدد نقاط السوق المحورية المؤكدة. يتم تسمية هذه النقاط A, B, C لتشكيل النمط الأساسي.
- **شموع التأكيد (Confirmation Bars)**: ينتظر المؤشر عددًا محددًا من الشموع (الافتراضي هو 2) لتأكيد النقطة المحورية، مما يضمن استقرار الإشارات وعدم إعادة رسمها.
### 2.2. تصنيف السيكونز
يتم تصنيف كل ضلع من `ABC` إما **اندفاعي (I)** أو **تصحيحي (K)** بناءً على زخمه. ينتج عن هذا أربعة أنواع أساسية من السيكونز، لكل منها منطق تداول خاص به:
| السيكونز | الهيكل | القوة | الوصف |
| :--- | :--- | :--- | :--- |
| **KKI** | تصحيحي-تصحيحي-اندفاعي | ★★★★ (الأقوى) | يشير إلى انعكاس محتمل قوي بعد فترة من التصحيح. |
| **KII** | تصحيحي-اندفاعي-اندفاعي | ★★★ | نمط انعكاس شائع وموثوق. |
| **IKI** | اندفاعي-تصحيحي-اندفاعي | ★★ | يشير إلى استمرار أو تصحيح معقد. |
| **III** | اندفاعي-اندفاعي-اندفاعي | ★ (الأضعف) | غالبًا ما يشير إلى اتجاه قوي قد يستمر. |
### 2.3. مناطق التداول
يعرض المؤشر ثلاث مناطق تداول محتملة بناءً على نقاط `ABC`:
- **منطقة B**: منطقة انعكاس أولية تُحسب من الضلع A-B.
- **منطقة BC**: منطقة ثانوية تُحسب من الضلع B-C، وغالبًا ما تكون مفضلة لأنواع معينة من السيكونز.
- **منطقة WCL (حد الموجة C)**: الحد الأقصى المتوقع للموجة C، وتعمل كمنطقة انعكاس أخيرة.
---
## 3. الميزات والإشارات
### 3.1. إشارة اكتمال النموذج (المثلث الأصفر)
- **ما هي**: مثلث أصفر يظهر بمجرد تأكيد سيكونز SK صالح (نموذج ABC).
- **الغرض**: تعمل كتنبيه مبكر على أن فرصة تداول محتملة تتشكل.
- **التوقيت**: تظهر على الشمعة التي يتم فيها تأكيد النموذج (بعد `Confirmation Bars`).
- **لا تعيد رسم نفسها**: هذه الإشارة دائمة ولا تتحرك بمجرد طباعتها.
### 3.2. إشارة الدخول (المثلث الأخضر/الأحمر)
- **ما هي**: مثلث أخضر (شراء) أو أحمر (بيع) يظهر عندما يدخل السعر إحدى مناطق التداول الصالحة (B, BC, أو WCL).
- **الغرض**: هذه هي الإشارة الرئيسية التي يجب أخذها في الاعتبار لدخول صفقة.
- **المنطق**: تظهر **مرة واحدة فقط لكل سيكونز** لتجنب الفوضى. لن تطبع إشارة أخرى حتى يتم تشكيل سيكونز SK جديد وصالح.
- **لا تعيد رسم نفسها**: هذه الإشارة دائمة ولا تعيد رسم نفسها.
### 3.3. الوضع المبسط (Simple Mode)
- **الغرض**: توفير عرض شارت نظيف وبسيط للمتداولين الذين يفضلون التركيز فقط على الإشارات والأهداف.
- **الوظيفة**: عند تفعيله، يخفي جميع الصناديق (B, BC, WCL)، ومستويات الفيبوناتشي، وخطوط وتسميات ABC.
- **ماذا يعرض**: فقط إشارة اكتمال النموذج (صفراء)، وإشارة الدخول (خضراء/حمراء)، ومستويات جني الأرباح.
### 3.4. البيانات التاريخية
- **عرض الإشارات التاريخية**: يعرض جميع إشارات الدخول السابقة (حتى 100) التي تم إنشاؤها، مما يتيح لك اختبار أداء المؤشر بصريًا.
- **عرض نماذج SK التاريخية**: يرسم آخر `X` عدد من نماذج SK المكتملة، بما في ذلك خطوط ABC والمناطق الخاصة بها. هذا مفيد لدراسة كيفية أداء النماذج السابقة.
---
## 4. دليل الإعدادات
- **الإعدادات العامة (General Settings)**: تفعيل/تعطيل النظام، ضبط حساسية ZigZag (`ZigZag Length`, `Confirmation Bars`)، واختيار أنواع السيكونز المراد عرضها (III, IKI, KII, KKI).
- **إعدادات الإشارات (Signal Settings)**: قسم موحد للتحكم في مظهر **جميع** الإشارات (الدخول، اكتمال النموذج، والتاريخية).
- `Signal Style`: اختر بين مثلث، سهم، دائرة، معين، أو تسمية.
- `Signal Size`: اضبط الحجم من صغير جدًا إلى ضخم.
- `Buy/Sell Signal Color`: خصص ألوان إشارات الشراء والبيع.
- **الوضع المبسط (Simple Mode)**: تفعيل/تعطيل الوضع البسيط والتحكم في رؤية إشارة اكتمال النموذج الصفراء.
- **البيانات التاريخية (Historical Data)**: التحكم في رؤية الإشارات والنماذج التاريخية، وتحديد الحد الأقصى للعدد المعروض.
- **إعدادات العرض (Display Settings)**: ضبط دقيق للرؤية والألوان والأنماط لجميع العناصر المرئية مثل مناطق التداول ومستويات الفيبوناتشي وتسميات نقاط ABC.
- **منطق التداول (Trading Logic)**: تحديد مناطق التداول (B, BC, WCL) النشطة لتوليد إشارات الدخول.
- **الأهداف والمخاطر (Targets & Risk)**: التحكم في رؤية مستويات جني الأرباح (TP1, TP2, TP3) ووقف الخسارة (SL) وتخصيص مظهرها.
- **التنبيهات (Alerts)**: تفعيل أو تعطيل التنبيهات عند اكتشاف سيكونز جديد ودخول المناطق.
---
## 5. كيفية الاستخدام
1. **انتظر إشارة اكتمال النموذج (المثلث الأصفر)**: هذا هو تنبيهك المسبق. يشير المثلث الأصفر إلى أنه تم للتو تأكيد نمط SK صالح.
2. **حدد مناطق التداول**: راقب صناديق B, BC, WCL لترى أين من المحتمل أن يتفاعل السعر.
3. **انتظر إشارة الدخول (المثلث الأخضر/الأحمر)**: لا تتداول على الإشارة الصفراء وحدها. انتظر حتى يدخل السعر منطقة صالحة وظهور مثلث أخضر (شراء) أو أحمر (بيع). هذا هو تأكيدك للدخول.
4. **حدد الأهداف ووقف الخسارة**: استخدم خطوط TP1, TP2, TP3, و SL المرسومة تلقائيًا لإدارة صفقتك.
5. **استخدم الوضع المبسط للوضوح**: إذا كان الشارت مزدحمًا، قم بتمكين الوضع المبسط لإخفاء كل شيء باستثناء الإشارات والأهداف الأساسية.
ALGO DEUS | PRECISION TIME MACHINEALGO DEUS | PRECISION TIME MACHINE
The surgical position simulator that integrates your personal money management.
Description
ALGO DEUS | Precision Time Machine is not just another standard Risk/Reward tool. It is a visual engineering instrument designed for serious traders (specifically Futures MNQ/MES) who demand absolute precision in their post-session analysis or live trade planning.
The Algo Deus Time Machine allows you to travel back through your chart history to place a trade simulation at the exact minute, capturing the precise opening price of the selected candle.
Key Features
Dual Mode (Live & History): By default, the tool displays on the current price for instant planning. Toggle "History Mode" to project your strategies onto any specific candle from the past.
Automatic Profit Calculator: Simply enter your target in Dollars ($) and the number of contracts. The algorithm instantly calculates your Take Profit and Stop Loss levels based on the asset's tick value (e.g., $0.5 for MNQ).
Minute-Level Precision: Thanks to optimized temporal integration, you can target a specific time (e.g., 4:05 PM) to analyze market reaction using your exact risk management parameters.
"Algo Deus" Sleek Interface: High-visibility display with translucent color blocks for a clear price reading without cluttering your candles.
How to use it?
Live: Perfect for visualizing your financial goals before executing a trade.
Backtest: Check "Enable History Mode," set the exact minute of your past setup, and observe whether your TP or SL would have been hit.
aslanogluI am pleased to present you with my buy/sell strategy that you can use in all periods.
I would be pleased to discuss your experiences
TradEdge Final AlgoThis script is designed for traders who want to improve their trading skills and excel in their journey. The primary focus is on effective risk management and staying aligned with market trends. If you're looking to build the psychology and mindset needed to implement this strategy successfully, this script is for you.
For more details or if you have any questions, feel free to reach out at 855-708-9757.
SMC ELITE V5 [by Oday]SMC ELITE V5: The Algorithm Killer
Stop trading like a retailer. Start thinking like an institution. 🏦
The SMC ELITE V5 isn't just an indicator; it's a complete Institutional Trading System on your chart. We have reverse-engineered the logic of high-frequency algorithms to show you exactly where the "Smart Money" is stacking orders. No noise. No lag. Just pure Price Action.
⚡ Why Traders Are Switching to SMC ELITE?
🎯 Sniper Entries: Our new Refined OB logic identifies the exact "Origin Candle" of the move, giving you entries with almost zero drawdown. 🧲 Magnet FVGs: Unmitigated Fair Value Gaps now extend indefinitely. Watch price react to these hidden zones like magic. 🧠 AI-Grade Filtering: The system automatically filters out low-quality zones. If it's on your chart, it's worth trading. 🛡️ Trap Detection: See "Inducement" levels clearly so you never get stopped out before the real move happens.
📊 What’s Inside?
✅ Real-Time Structure Mapping: BOS & CHoCH (Internal & Swing) ✅ Premium & Discount Zones: Auto-Fibonacci levels ✅ Smart Order Blocks: Filtered by volume & momentum ✅ Liquidity Grabs: Buy Side & Sell Side liquidity sweeps ✅ Multi-Timeframe Ready: Works perfectly on M1 to H4
SMC ELITE V5 [by Oday]**SMC ELITE V5 - Smart Money Concepts & Structure**
SMC ELITE V5 is an all-in-one institutional trading toolkit designed to simplify Smart Money Concepts. It automatically identifies Market Structure, Order Blocks, and Fair Value Gaps with high precision, filtering out noise to show high-probability zones.
**Key Features:**
* **Market Structure:** Real-time BOS (Break of Structure) and CHoCH (Change of Character) detection with multi-swing analysis.
* **Refined Order Blocks (OB):** Identifies the specific "Origin" candle of major moves. V5 uses a refined zone calculation for tighter entries and cleaner charts.
* **Smart FVGs:** Fair Value Gaps that auto-extend ("Magnet Mode") until mitigated. Broken zones are automatically hidden to keep your chart clean.
* **Inducement Detection:** Highlights liquidity traps (minor pullbacks) that smart money uses to induce early traders.
* **Advanced Filtering:** Built-in quality filters based on displacement, multi-candle confirmation, and trend alignment.
**How to Use:**
This indicator is built for the "Top-Down" approach. Use it on Higher Timeframes (H1/H4) to identify Key Levels (OBs/FVGs), then execute on Lower Timeframes (M5/M15) when structure confirms (CHoCH).
**Settings:**
* **Simple Mode:** Best for clean charts regular trading.
* **Advanced Mode:** Unlocks deep customization (Lookback periods, Filter Strength, Zone Quality).
*Designed for precision traders.*
Weekly Financial Liquidity Index (With Overlay, Corr, Shift)Skylark Digital Assets — Weekly Financial Liquidity Proxy (WFLI) (Overlay) + Rolling Correlation + Lead/Lag Shift
The Weekly Financial Liquidity Proxy (WFLI) is a macro-liquidity regime gauge designed to sit directly on your price chart (overlay). It compresses a diversified set of “liquidity-sensitive” markets into a single weekly signal, then lets you quantify how tightly your current ticker has been moving with liquidity via a rolling correlation, and phase-align the relationship using lead/lag shifting in both weeks and months.
What you’ll see
WFLI line (overlay): Plotted on the main chart so you can visually compare liquidity conditions with price action.
Rolling correlation: A continuously updating correlation reading showing how strongly your current symbol is tracking WFLI over the chosen lookback window.
Lead/Lag shift (weeks + months): Offsets WFLI forward/backward to help align real-world phase differences (because different assets respond to liquidity on different timelines).
How to use it
Regime filter:
Rising WFLI tends to align with risk-on / expanding liquidity backdrops.
Falling WFLI tends to align with risk-off / tightening liquidity backdrops.
Confirmation & divergence:
If price is breaking out while WFLI is deteriorating, treat it as a potential fragility / divergence signal.
If WFLI turns up before price stabilizes, it can help identify early shifts in conditions.
Correlation as a “relationship strength” meter:
High positive correlation = the asset has recently been behaving like a liquidity follower.
Low/unstable correlation = the asset is being driven by idiosyncratic factors (earnings, sector shocks, narratives, supply events, supply/demand quirks, etc.).
Lead/Lag shift to phase-align:
Use the shift controls to find the offset where correlation is most stable/meaningful.
This is useful when an asset typically reacts after liquidity changes (lagger) or anticipates them (leader).
Using WFLI on the monthly timeframe
Even though this is a weekly liquidity proxy, it’s intentionally useful on the monthly chart as well. Viewing WFLI on the monthly timeframe smooths noise, makes regime shifts more readable, and (in practice) does not reduce efficacy—it simply presents the same underlying signal through a slower lens, which can be ideal for macro alignment and longer-horizon positioning.
Inputs (high level)
Rolling correlation length: Lookback window for the correlation calculation.
Shift controls:
Weeks shift (fine adjustment for weekly relationships)
Months shift (coarse adjustment for longer macro phase drift)
Optional display toggles (if included in your script): show/hide correlation, labels, smoothing, etc.
Notes & limitations
Correlation is not causation. Treat it as a diagnostic for behavioral alignment, not a guarantee.
Lead/lag is non-stationary: relationships can compress/expand across cycles and volatility regimes.
Built for context and structure, not as a standalone entry/exit system.
Educational use only — not financial advice.
Daily Gold Key Levels from X (Intraday - Unified Text Box)Script pulling daily trade ideas and key levels from X Accounts for XAU USD
Smart Volume Direction ProThis indicator estimates whether buying or selling pressure is dominant using volume and how the candle moved. It computes RVOL (relative volume), a proxy “delta” based on candle body/range (not true order flow), and confirms it with VWAP (or VWMA on swing timeframes). If “Micro” is enabled, it also aggregates signed volume from a lower timeframe to refine intrabar bias. With that, it produces a directional score, plots signals when volume is strong + direction is clear, and displays a dashboard with BUY/SELL, strength, imbalance%, and basic data-quality checks.
KP Support ResistneComprehensive Disclaimer and User Responsibility Statement for Indicators and Algorithmic Trading Tools
We are an independent indicator and algorithm (algo) development service provider, engaged solely in the technical development of trading tools based on specific requirements received from users. Our role is strictly limited to designing, coding, and delivering custom-built indicators, scripts, scanners, or algorithmic tools as per user-defined inputs. We do not act as financial advisors, investment advisors, portfolio managers, or trading mentors in any capacity.
It is extremely important for every user to clearly understand the scope, limitations, responsibilities, and risks associated with the use of any indicator, algorithm, or trading-related tool developed or shared by us.
1. No Investment Advice or Recommendations
We do not recommend, suggest, endorse, or advise the use of any indicator, strategy, or algorithm developed by us for live trading purposes. Any tool created by us is purely technical in nature and must not be interpreted as financial, investment, or trading advice.
We strongly advise all users to consult a SEBI-registered investment advisor (RIA) or a SEBI-registered research analyst (RA) before making any trading or investment decisions. Our services do not replace professional financial guidance.
2. Tools Are Developed Based on User Requirements Only
All indicators and algorithms are developed strictly based on requirements received from users, which may include:
Specific entry or exit logic
Custom conditions
Indicator combinations
Risk management formulas
Automation logic
Visual plotting requirements
These requirements are subjective and vary from user to user. A tool developed for one user is tailored to their personal assumptions, preferences, and expectations. As such, the same tool may not be suitable or effective for another user.
We do not evaluate whether a particular logic is profitable, safe, or appropriate for any individual.
3. No Guarantee of Profit or Performance
There is no guarantee of profit, accuracy, consistency, or success when using any indicator or algorithm developed by us. Financial markets are uncertain, volatile, and influenced by numerous unpredictable factors including but not limited to:
Market sentiment
Economic events
News and announcements
Liquidity conditions
Broker execution quality
Slippage and latency
Past performance of any indicator or algorithm does not guarantee future results. Any perceived success in backtesting or paper trading does not ensure similar results in live market conditions.
4. Trading Involves High Risk
Trading and investing in financial markets involves substantial risk, including the potential loss of partial or entire capital. Users must clearly understand that:
Losses can exceed expectations
Capital erosion can occur rapidly
Emotional and psychological stress is common
Overtrading and mismanagement can amplify losses
Users are solely responsible for assessing whether trading aligns with their financial situation, risk tolerance, and personal circumstances.
5. Differences in Capital Size and Risk Capacity
Every trader has a different capital size, which significantly impacts trading outcomes. A strategy that may appear effective for a large capital account may fail for a smaller account due to:
Margin requirements
Lot size constraints
Brokerage costs
Risk exposure
Similarly, risk-reward capacity differs for each individual. Some users can tolerate drawdowns, while others cannot. A one-size-fits-all approach does not exist in trading.
6. Psychological and Mental Health Factors
Trading is not only a technical activity but also a psychological challenge. Factors such as:
Emotional discipline
Fear and greed
Stress management
Mental health
Decision-making under pressure
play a critical role in trading outcomes. We do not assess or account for a user’s psychological readiness or mental health condition. Any tool shared by us may not align with a user’s emotional or mental capacity to handle market fluctuations.
7. Trading Profile and Experience Level
Each user has a unique trading profile, which may include:
Beginner, intermediate, or advanced experience
Intraday, swing, positional, or long-term trading
Manual or automated execution
Asset preference (equity, options, futures, commodities, forex)
A tool developed for a specific trading profile may not work effectively for another profile. Users are fully responsible for determining whether a tool suits their experience level and trading style.
8. No Responsibility for Profit, Loss, or Damages
We shall not be held responsible or liable for any of the following:
Financial losses or missed profits
Incorrect signals or logic behavior
Broker-related issues
API failures or platform downtime
Market gaps or extreme volatility
Emotional distress or decision errors
The use of any indicator or algorithm is entirely at the user’s own risk.
9. Testing and Validation Are User’s Responsibility
Before using any tool in a live trading environment, users must:
Conduct proper backtesting
Perform forward testing or paper trading
Validate results under multiple market conditions
Understand all logic and limitations
We do not guarantee that a tool has been tested across all scenarios unless explicitly agreed upon in writing.
10. No SEBI Registration or Advisory Role
We are not registered with SEBI as an investment advisor, research analyst, or portfolio manager. Our services are limited to technical development only. Any interpretation of our work as advisory services is incorrect and unauthorized.
11. Market Conditions Can Change
Market behavior is dynamic. A logic that works in one market phase (trending, sideways, volatile) may completely fail in another. Indicators and algorithms are not adaptive unless specifically designed to be so.
Users must continuously monitor and evaluate performance.
12. Automation Does Not Eliminate Risk
Automated trading or algorithmic execution does not eliminate risk. In fact, automation can increase risk if:
Logic errors exist
Market conditions change abruptly
Execution happens faster than human intervention
Users must supervise automated systems at all times.
13. Acceptance of Terms
By using, accessing, or implementing any indicator or algorithm developed or shared by us, the user explicitly agrees that:
They understand all risks involved
They take full responsibility for all outcomes
They will not hold us liable for any loss or damage
They will seek advice from a SEBI-registered advisor when needed
14. Final Statement
We provide tools, not advice.
We develop code, not confidence.
We share technology, not guarantees.
Trading success depends on multiple personal and external factors including capital, psychology, discipline, experience, and market conditions. Since these factors differ from person to person, the same indicator or algorithm will not work for everyone.
Users must make informed decisions responsibly and ethically.
KP OPTION ROCKComprehensive Disclaimer and User Responsibility Statement for Indicators and Algorithmic Trading Tools
We are an independent indicator and algorithm (algo) development service provider, engaged solely in the technical development of trading tools based on specific requirements received from users. Our role is strictly limited to designing, coding, and delivering custom-built indicators, scripts, scanners, or algorithmic tools as per user-defined inputs. We do not act as financial advisors, investment advisors, portfolio managers, or trading mentors in any capacity.
It is extremely important for every user to clearly understand the scope, limitations, responsibilities, and risks associated with the use of any indicator, algorithm, or trading-related tool developed or shared by us.
1. No Investment Advice or Recommendations
We do not recommend, suggest, endorse, or advise the use of any indicator, strategy, or algorithm developed by us for live trading purposes. Any tool created by us is purely technical in nature and must not be interpreted as financial, investment, or trading advice.
We strongly advise all users to consult a SEBI-registered investment advisor (RIA) or a SEBI-registered research analyst (RA) before making any trading or investment decisions. Our services do not replace professional financial guidance.
2. Tools Are Developed Based on User Requirements Only
All indicators and algorithms are developed strictly based on requirements received from users, which may include:
Specific entry or exit logic
Custom conditions
Indicator combinations
Risk management formulas
Automation logic
Visual plotting requirements
These requirements are subjective and vary from user to user. A tool developed for one user is tailored to their personal assumptions, preferences, and expectations. As such, the same tool may not be suitable or effective for another user.
We do not evaluate whether a particular logic is profitable, safe, or appropriate for any individual.
3. No Guarantee of Profit or Performance
There is no guarantee of profit, accuracy, consistency, or success when using any indicator or algorithm developed by us. Financial markets are uncertain, volatile, and influenced by numerous unpredictable factors including but not limited to:
Market sentiment
Economic events
News and announcements
Liquidity conditions
Broker execution quality
Slippage and latency
Past performance of any indicator or algorithm does not guarantee future results. Any perceived success in backtesting or paper trading does not ensure similar results in live market conditions.
4. Trading Involves High Risk
Trading and investing in financial markets involves substantial risk, including the potential loss of partial or entire capital. Users must clearly understand that:
Losses can exceed expectations
Capital erosion can occur rapidly
Emotional and psychological stress is common
Overtrading and mismanagement can amplify losses
Users are solely responsible for assessing whether trading aligns with their financial situation, risk tolerance, and personal circumstances.
5. Differences in Capital Size and Risk Capacity
Every trader has a different capital size, which significantly impacts trading outcomes. A strategy that may appear effective for a large capital account may fail for a smaller account due to:
Margin requirements
Lot size constraints
Brokerage costs
Risk exposure
Similarly, risk-reward capacity differs for each individual. Some users can tolerate drawdowns, while others cannot. A one-size-fits-all approach does not exist in trading.
6. Psychological and Mental Health Factors
Trading is not only a technical activity but also a psychological challenge. Factors such as:
Emotional discipline
Fear and greed
Stress management
Mental health
Decision-making under pressure
play a critical role in trading outcomes. We do not assess or account for a user’s psychological readiness or mental health condition. Any tool shared by us may not align with a user’s emotional or mental capacity to handle market fluctuations.
7. Trading Profile and Experience Level
Each user has a unique trading profile, which may include:
Beginner, intermediate, or advanced experience
Intraday, swing, positional, or long-term trading
Manual or automated execution
Asset preference (equity, options, futures, commodities, forex)
A tool developed for a specific trading profile may not work effectively for another profile. Users are fully responsible for determining whether a tool suits their experience level and trading style.
8. No Responsibility for Profit, Loss, or Damages
We shall not be held responsible or liable for any of the following:
Financial losses or missed profits
Incorrect signals or logic behavior
Broker-related issues
API failures or platform downtime
Market gaps or extreme volatility
Emotional distress or decision errors
The use of any indicator or algorithm is entirely at the user’s own risk.
9. Testing and Validation Are User’s Responsibility
Before using any tool in a live trading environment, users must:
Conduct proper backtesting
Perform forward testing or paper trading
Validate results under multiple market conditions
Understand all logic and limitations
We do not guarantee that a tool has been tested across all scenarios unless explicitly agreed upon in writing.
10. No SEBI Registration or Advisory Role
We are not registered with SEBI as an investment advisor, research analyst, or portfolio manager. Our services are limited to technical development only. Any interpretation of our work as advisory services is incorrect and unauthorized.
11. Market Conditions Can Change
Market behavior is dynamic. A logic that works in one market phase (trending, sideways, volatile) may completely fail in another. Indicators and algorithms are not adaptive unless specifically designed to be so.
Users must continuously monitor and evaluate performance.
12. Automation Does Not Eliminate Risk
Automated trading or algorithmic execution does not eliminate risk. In fact, automation can increase risk if:
Logic errors exist
Market conditions change abruptly
Execution happens faster than human intervention
Users must supervise automated systems at all times.
13. Acceptance of Terms
By using, accessing, or implementing any indicator or algorithm developed or shared by us, the user explicitly agrees that:
They understand all risks involved
They take full responsibility for all outcomes
They will not hold us liable for any loss or damage
They will seek advice from a SEBI-registered advisor when needed
14. Final Statement
We provide tools, not advice.
We develop code, not confidence.
We share technology, not guarantees.
Trading success depends on multiple personal and external factors including capital, psychology, discipline, experience, and market conditions. Since these factors differ from person to person, the same indicator or algorithm will not work for everyone.
Users must make informed decisions responsibly and ethically.
Portfolio TrackerDescription
The Portfolio Tracker is a utility dashboard designed for traders who need to monitor the performance of a multi-asset portfolio directly from a single chart layout. While TradingView provides excellent charting for individual symbols, tracking the combined Profit & Loss (PnL) of a basket of 20 different securities (stocks, crypto, forex, or indices) usually requires switching tabs, using external spreadsheets, or logging into multiple exchange accounts.
This script solves that problem by allowing users to manually input their position details into a customizable table. It fetches real-time price data for each symbol and calculates the individual and total portfolio performance, including commission costs.
Why This Tool is Useful
This indicator was built to address specific pain points for active traders:
Consolidated View: Instead of checking 20 different charts to see how your positions are doing, you get a single, real-time snapshot of your entire portfolio's health on one screen.
Risk Management: By seeing the "Total PnL" and "Total Investment" in one place, traders can better understand their overall market exposure, rather than focusing on single winning or losing trades.
Flexible Accounting: The ability to switch between "Unit Price" and "Total Cost" inputs accommodates different trading styles—whether you are a scalper entering a single price or an investor averaging down with a specific total capital allocation.
CRITICAL: Input Logic & Warnings
To ensure accurate PnL calculations, users must understand the relationship between Quantity and Cost, especially when using "Total Cost (Manual)" mode.
The Golden Rule: Your Input Cost must always match the Total Quantity entered.
Example Scenario:
Imagine you buy 2 BTC at a price of $90,000 each.
Correct Entry: You must enter Quantity: 2 and Cost: 180000 ($90k x 2).
Result: If BTC drops to $85k, your Portfolio Value is $170k. The script correctly shows a PnL of -$10,000.
Result: If BTC rises to $95k, your Portfolio Value is $190k. The script correctly shows a PnL of +$10,000.
Incorrect Entry: If you enter Quantity: 2 but leave Cost at 90000 (the unit price).
Result: The script thinks you bought 2 BTC for a total of only $90k. It will instantly show a massive, incorrect profit because the math implies you bought 2 coins for the price of 1.
Please double-check your inputs. The script includes a "Sanity Check" feature to help catch these errors, but accurate data entry is the user's responsibility.
Key Features & Benefits
Multi-Asset Tracking (20 Slots): Monitor up to 20 different tickers simultaneously.
Real-Time Valuation: Uses request.security() to fetch the current market price for every symbol in the list. Your PnL updates with every tick of the market.
Flexible Cost Basis Modes:
Auto-Calc Mode: Enter Entry Price and Quantity. (Best for simple, single-entry trades).
Manual Cost Mode: Enter Total Invested Amount. (Best for averaged-down positions).
Advanced Commission Handling: Supports both Global and Individual commission rates. This provides a realistic "Net PnL" by factoring in fees on both the entry (cost basis) and the theoretical exit (current value).
Input Safety ("Sanity Check"): A logic check that compares the user's input against the current market value. If a user switches to "Total Cost" mode but leaves a small "Unit Price" value in the input field, the script flags the row to prevent irrational PnL percentages (e.g., >100,000%).
Clean & Customizable UI: The table can be positioned in 9 different locations, and inputs are hidden from the chart status line to keep the visual workspace clean.
How It Works
The script operates using a systematic loop that processes user inputs through a series of mathematical validations:
Data Acquisition: The script collects all 20 user inputs and utilizes request.security() to fetch the real-time close price for every non-empty symbol in the list.
Cost Basis Calculation:
In Auto-Calc Mode: The script calculates Raw Cost = Quantity * Input Price.
In Manual Mode: The script takes the Input Value directly as the Raw Cost.
"Round-Trip" Commission Modeling:
Entry Cost: Raw Cost * (1 + Commission%) (Fees increase your breakeven).
Exit Value: (Quantity * Current Price) * (1 - Commission%) (Fees reduce your payout).
Net PnL: Exit Value - Entry Cost.
Sanity Check Algorithm: Before displaying data, the script compares the Input Cost against the Gross Market Value (Qty * Price). If the Input Cost is less than a user-defined threshold (default 1%) of the Market Value, it triggers a warning, assuming the user forgot to update the field to a "Total Cost" figure.
Disclaimer
This script is for informational and educational purposes only. It is a tool to assist in tracking hypothetical or real positions based on manual user inputs and standard TradingView data feeds. It should not be relied upon as a primary accounting ledger or tax reporting tool. Past performance is not indicative of future results. Trading involves risk. Always verify your PnL against your actual exchange or broker statements.
Pullback Finder CareCA multi-timeframe pullback detection indicator that identifies optimal entry points during trend corrections. It combines daily trend analysis with intraday momentum, volume, and RSI conditions to pinpoint high-probability reversal points when price pulls back against the primary trend direction.
Perfect for traders looking to buy dips in uptrends or sell rallies in downtrends with precise timing and trend confirmation.
Z-Score Momentum Dashboard Z-Score Momentum Dashboard: A Comprehensive Technical Analysis Framework
Understanding the Z-Score Momentum Dashboard
The Z-Score Momentum Dashboard represents a sophisticated evolution in technical analysis indicators, designed to synthesize multiple analytical frameworks into a singular, coherent probabilistic assessment of market conditions. At its core, this indicator is a multi-dimensional analytical engine that processes price action, volume dynamics, cyclical patterns, and statistical anomalies to generate standardized z-scores that measure how far current market behavior deviates from established norms. Unlike traditional single-metric indicators that examine price through one lens, this dashboard constructs a comprehensive probabilistic model by weighting and combining six distinct analytical domains: Ehlers bandpass filtering for cycle detection, momentum calculations across multiple timeframes, mean reversion tendencies, trend strength measurements, volatility regime analysis, and volume confirmation signals.
The indicator operates by first calculating individual scores across each of these six domains, normalizing them into comparable z-score formats, then applying user-configurable weights to create a composite probability score that estimates the likelihood of upward price movement. This probability undergoes statistical transformation through hyperbolic tangent functions to ensure bounded outputs between zero and one, which are then compared against historical baselines to generate the final z-score reading. The z-score itself becomes the primary signal, indicating not just direction but the statistical significance of the current market state relative to recent history. When the z-score exceeds predefined thresholds, it suggests the market has entered a regime that statistically differs from the baseline, implying either strong momentum continuation or potential exhaustion depending on accompanying contextual indicators.
The dashboard visualization provides traders with immediate access to critical information through a comprehensive table display that shows historical z-scores over the past five days, current probability assessments, trend classification, momentum measurements, acceleration metrics, and distance from moving averages. This multi-temporal perspective allows traders to observe not just the current state but the trajectory of change, identifying whether momentum is building, plateauing, or reversing. The indicator also generates regime classifications such as "PARABOLIC EXT," "OVERSOLD," "STRONG MOM," and "NEUTRAL," which combine z-score readings with price extension metrics to characterize the current market environment. These classifications directly inform suggested actions, ranging from "Ride trend w/ stops" during strong momentum periods to "Watch for reversal" during oversold conditions with increasing momentum, providing traders with contextually appropriate strategic guidance.
The Special Nature of This Analytical Approach
What distinguishes the Z-Score Momentum Dashboard from conventional technical indicators is its fundamental philosophical approach to market analysis, which embraces probabilistic thinking rather than deterministic prediction. Most traditional indicators generate binary signals or directional recommendations based on threshold crossovers or pattern recognition, implicitly suggesting certainty about future price movement. This dashboard, in contrast, explicitly models uncertainty by generating probability distributions and measuring statistical significance, acknowledging that markets are stochastic systems where edge comes from systematic bias rather than predictive certainty. By converting diverse technical signals into standardized z-scores, the indicator creates a common language for comparing fundamentally different types of market information, whether that information comes from price momentum, volume patterns, or cyclical oscillations.
The pseudo-machine learning architecture embedded within the indicator represents another distinctive feature that elevates it beyond standard technical analysis tools. While Pine Script limitations prevent the implementation of actual neural networks or gradient-boosted decision trees, the indicator approximates ensemble learning principles by treating each analytical domain as a separate "model" whose outputs are weighted and combined. Users can adjust these weights based on their market beliefs or through backtesting optimization, effectively training the indicator to emphasize whichever analytical dimensions prove most predictive in their specific trading context. This flexibility means the same indicator can be configured for mean-reversion trading in range-bound markets by increasing mean reversion weights, or for momentum trading in trending markets by emphasizing trend and momentum components, making it adaptable across varying market regimes without requiring entirely different analytical tools.
The integration of John Ehlers' digital signal processing concepts, particularly the bandpass filtering and super smoother functions, introduces engineering-grade analytical precision to financial market analysis. Ehlers' work translates aerospace and telecommunications signal processing mathematics into trading applications, allowing the indicator to isolate specific cyclical frequencies within price action while filtering out noise. This is fundamentally different from simple moving averages or oscillators that indiscriminately smooth price data; bandpass filters can extract the 10-day cycle component separately from the 20-day cycle component, identifying when multiple cycles align or diverge. The inclusion of these sophisticated filters alongside more conventional tools creates a hybrid analytical framework that combines the mathematical rigor of quantitative finance with the practical market wisdom embedded in traditional technical analysis.
The dashboard's temporal analysis capabilities provide another layer of analytical depth rarely found in standalone indicators. By displaying five days of historical z-scores alongside current readings, the interface enables pattern recognition at the signal level rather than just the price level. Traders can observe whether z-scores are trending, oscillating, or demonstrating divergent behavior relative to price action. For instance, if price continues making new highs while z-scores decline, this suggests deteriorating statistical support for the advance despite superficial price strength, providing early warning of potential reversals. Similarly, rising z-scores during price consolidation indicate building statistical pressure that may soon manifest as directional movement. This meta-analytical capability transforms the indicator from a simple signal generator into a comprehensive framework for understanding the statistical character of market behavior.
Algorithmic Superiority and Technical Advantages
The algorithmic architecture of the Z-Score Momentum Dashboard demonstrates several technical advantages that contribute to its analytical power and practical utility. The normalization of disparate technical indicators into standardized z-scores solves a fundamental problem in multi-factor analysis: how to combine indicators with different scales and units into a coherent composite signal. A momentum reading measured in price points cannot be directly compared to an RSI reading measured on a 0-100 scale, nor to a volume ratio measured as a multiplier. By converting each measure into a z-score representing standard deviations from its respective mean, the indicator creates dimensional consistency, ensuring that each component contributes proportionally to the final composite score based on its statistical deviation rather than its nominal value.
The use of adaptive baselines through rolling statistical windows provides robustness against regime changes and non-stationary market behavior. Rather than comparing current readings against fixed historical values or statically defined overbought/oversold levels, the indicator continuously recalculates mean and standard deviation estimates over the user-defined baseline period. This approach automatically adjusts to changing volatility regimes, market cycles, and structural shifts in price behavior. During high-volatility periods, the standard deviation increases, requiring larger absolute deviations to generate extreme z-scores, appropriately raising the bar for signal generation. Conversely, during low-volatility periods, smaller absolute movements can generate significant z-scores, maintaining signal sensitivity across diverse market conditions.
The composite probability calculation employs mathematically sound transformation functions rather than arbitrary scaling. After weighting and combining individual z-scores into a composite score, the indicator applies hyperbolic tangent transformation to convert the unbounded composite score into a bounded probability estimate between zero and one. The tanh function was chosen specifically because its sigmoid-shaped curve smoothly compresses extreme values while maintaining sensitivity around the center, preventing outlier distortion while preserving information about moderate deviations. This is superior to linear scaling or simple threshold clamping, which can create artificial discontinuities or lose information about the magnitude of extreme readings. The subsequent z-score calculation on this probability distribution creates a second-order statistical metric that measures not just "is probability high?" but "is probability statistically significantly higher than typical?" This layered statistical approach provides more nuanced information than single-stage calculations.
The incorporation of acceleration metrics alongside momentum measurements adds a crucial dimension to the analytical framework. While momentum measures the first derivative of the z-score (rate of change), acceleration measures the second derivative (rate of change of the rate of change), identifying inflection points where momentum itself shifts. Markets often reverse not when momentum reaches zero but when acceleration reverses, as this indicates the rate of momentum decay is accelerating even while momentum remains positive. By explicitly calculating and displaying acceleration, the indicator provides early warning of potential trend exhaustion before momentum fully dissipates. This mathematical sophistication mirrors concepts from physics and calculus, applying them to financial market dynamics in ways that enhance predictive capability.
The multi-timeframe momentum analysis embedded within the indicator examines price changes over five, ten, and twenty periods, capturing different temporal scales of market behavior. Short-term momentum captures immediate price action and trading range dynamics, while longer-term momentum reflects sustained directional bias and major trend development. By combining these timeframes into a weighted average before calculating z-scores, the indicator synthesizes information across temporal scales, avoiding the myopia of single-timeframe analysis. This approach recognizes that market structure exists simultaneously at multiple frequencies, and robust signals often emerge when momentum aligns across timeframes, while divergences between timeframes can signal pending reversals or consolidations.
Predictive Power Through Cyclical Analysis
The integration of cyclical analysis into the Z-Score Momentum Dashboard represents one of its most powerful predictive capabilities, leveraging the empirical observation that financial markets exhibit periodic behavior driven by fundamental economic cycles, seasonal patterns, trader psychology, and technical feedback loops. The Ehlers bandpass filters implemented in the indicator specifically isolate cyclical components at 10, 15, and 20-day periods, frequencies that correspond to common trading cycles including bi-weekly, monthly, and quarterly rhythms in market activity. By extracting these specific frequency bands and measuring their slope, the indicator identifies when cycles are aligned in the same directional phase versus when they are diverging, with aligned cycles providing stronger predictive signals than single-frequency readings.
Cyclical analysis offers predictive power because cycles, by definition, have characteristic wavelengths that enable forecasting of future turning points based on the current phase. If the indicator detects that the 10-day cycle is in a trough phase while the 20-day cycle is also declining, it can anticipate that the shorter cycle should begin turning upward before the longer cycle, potentially creating a bullish divergence or early reversal signal. Conversely, when a shorter cycle reaches a peak while longer cycles continue rising, this suggests the current rally may consolidate before the longer-cycle momentum can drive new highs. This phase relationship analysis transforms cyclical information from descriptive to predictive, allowing traders to position ahead of probable turning points rather than merely reacting to them.
The bandpass filtering approach is particularly valuable because it separates signal from noise more effectively than conventional smoothing techniques. Traditional moving averages suppress both high-frequency noise and the actual signal being measured, creating lag and reducing responsiveness. Bandpass filters, in contrast, selectively attenuate frequencies outside the target band while preserving amplitude and phase information within the band, maintaining the timing and magnitude of the actual cyclical component. This means when the bandpass output changes, it reflects genuine change in the underlying cycle rather than random noise or smoothing artifacts. The z-score normalization of bandpass slopes then measures whether the current cyclical momentum is statistically unusual relative to recent history, identifying periods when cyclical forces are particularly strong or weak.
The integration of Fisher Transform calculations further enhances cyclical predictive power by converting price oscillations into a nearly Gaussian probability distribution. Financial price data typically exhibits non-normal distributions with fat tails and skewness, which violate the assumptions underlying many statistical techniques. The Fisher Transform specifically addresses this by mapping the price data onto a normal distribution where standard statistical inference tools work more reliably. When applied to cyclical data, this transformation makes it possible to accurately assess the statistical significance of cycle phases and turning points, distinguishing between normal cyclical oscillation and statistically significant deviations that may precede major price movements.
The Schaff Trend Cycle component adds another dimension to cyclical analysis by combining MACD calculations with stochastic smoothing to identify trending phases within broader cyclical structures. Markets often exhibit fractal behavior where trends exist within cycles which exist within larger trends. The Schaff indicator specifically addresses this nested structure by detecting when shorter-term trends are emerging within the dominant cycle, providing early identification of trend changes before they become apparent in price action. When the Schaff reading aligns with bandpass filter signals and overall z-score direction, it confirms that multiple analytical perspectives agree on current cyclical phase, increasing confidence in directional predictions.
The Detrended Price Oscillator (DPO) calculation removes trend components to isolate pure cyclical behavior, addressing a common challenge in cyclical analysis where strong trends can mask underlying cycles. By comparing current price to a centered moving average, the DPO reveals cyclical patterns that persist regardless of trend direction, allowing the indicator to maintain cyclical awareness in both trending and ranging markets. This is particularly valuable because cycles often continue operating during trends but become invisible to trend-following indicators, yet these cycles can predict pullbacks, consolidations, and acceleration phases within the larger trend. The incorporation of DPO signals into the composite z-score calculation ensures that cyclical information contributes to the final reading even when dominated by strong directional momentum.
Practical Trading Application and Strategic Implementation
Implementing the Z-Score Momentum Dashboard in practical trading requires understanding both its signal generation logic and the appropriate strategic frameworks for acting on its outputs. The primary trading signal comes from the overall z-score reading relative to the trigger and extreme thresholds, which by default are set at 1.25 and 2.0 respectively. When the z-score exceeds the trigger threshold, it indicates that current market behavior is more than 1.25 standard deviations above the recent baseline, suggesting statistically significant bullish momentum. Traders can interpret this as a regime shift from neutral to bullish conditions, warranting either initiation of long positions or continuation of existing long exposure with trailing stops. The strength of this signal increases when the z-score crosses the extreme threshold, indicating the market has entered a parabolic phase that, while statistically unusual, may represent either climactic buying or unsustainable conditions prone to mean reversion.
The regime classifications provide contextual interpretation that modifies how traders should approach z-score signals. A z-score above the trigger threshold combined with moderate price extension from the 20-period moving average generates a "STRONG MOM" regime classification with the recommended action "Ride trend w/ stops," suggesting that traders should maintain directional exposure while using trailing stop-loss orders to protect profits if momentum reverses. In contrast, a z-score above the trigger threshold but with extreme price extension generates a "PARABOLIC EXT" classification with the action "Mean rev UP expected," warning that despite strong statistical momentum, the price has deviated too far from its moving average and may soon consolidate or reverse toward the mean. This nuanced interpretation prevents traders from blindly chasing extended moves even when z-scores remain elevated.
The trend classification system—identifying RISING, FALLING, BOTTOMING, and TOPPING patterns—provides crucial information about the trajectory of statistical momentum rather than just its current level. A RISING classification indicates that not only is the z-score positive, but it has been consistently increasing over recent periods, suggesting accelerating momentum and increasing statistical support for directional movement. Traders can use this to distinguish between stable momentum that may continue and deteriorating momentum that may reverse, informing position sizing and stop-loss placement decisions. BOTTOMING and TOPPING classifications specifically identify potential inflection points where the direction of z-score movement is changing, generating early reversal signals before z-scores cross back through neutral territory.
For mean reversion traders, the indicator provides exceptional value when z-scores reach extreme negative levels (below -2.0) while showing BOTTOMING trend patterns and positive acceleration. This combination suggests that statistical momentum has reached an extreme oversold condition and is beginning to reverse, creating favorable risk-reward opportunities for counter-trend long positions. The extension metric provides additional confirmation, as extreme negative extension from the moving average creates mechanical pull toward the mean independent of momentum considerations. Traders can enter positions when these factors align, using the moving average as an initial profit target and the z-score returning to neutral as a signal for position closure or transition to trend-following mode.
For trend-following traders, the indicator is most valuable when z-scores remain elevated above the trigger threshold for extended periods with RISING or stable trend patterns and positive momentum readings. This indicates persistent statistical support for the trend rather than a temporary spike, justifying larger position sizes and wider stop-loss placement. The momentum and acceleration metrics help trend followers distinguish between healthy trends with sustained momentum and exhausted trends where momentum is decelerating, allowing for timely exit before reversals occur. When momentum and acceleration both turn negative while z-scores remain positive, it signals that the statistical foundation of the trend is eroding even though the trend nominally persists, prompting trend followers to tighten stops or take partial profits.
The component scores displayed in the dashboard enable advanced traders to perform qualitative analysis of what factors are driving the composite z-score reading. If the composite z-score is positive but the breakdown shows that bandpass and momentum scores are negative while mean reversion scores are strongly positive, this indicates that the bullish reading is driven primarily by oversold mean reversion potential rather than directional momentum. Traders can use this information to adjust their trading approach, perhaps favoring short-term reversal trades over longer-term trend follows. Conversely, if all components show aligned readings, it suggests broad-based agreement across analytical dimensions, increasing confidence in the signal and potentially warranting larger position sizes or longer holding periods.
Integration with broader trading systems can enhance the indicator's effectiveness. Traders might use the z-score as a filter for other strategies, taking long signals from separate systems only when the z-score is positive or trading reversal patterns only when z-scores are extreme. Alternatively, the indicator can serve as a portfolio allocation tool, increasing equity exposure when z-scores are positive and reducing exposure or shifting to defensive positions when z-scores turn negative. The probability estimates can be directly incorporated into Kelly Criterion or other position sizing formulas, scaling position sizes proportionally to the estimated probability of upward movement adjusted for risk-reward ratios of specific trade setups.
Alert conditions built into the indicator provide automated monitoring capabilities, notifying traders when z-scores cross critical thresholds or when trend patterns change from FALLING to BOTTOMING or RISING to TOPPING. These alerts enable traders to monitor multiple instruments without constant chart watching, maintaining awareness of regime changes across a diversified portfolio. The alerts for extreme z-scores specifically warn of potential climactic conditions that may require immediate attention, whether to take profits on existing positions or to prepare for reversal opportunities.
The customization options allow traders to optimize the indicator for specific instruments and market conditions. The baseline period parameter controls the lookback window for calculating statistical norms, with shorter periods making the indicator more responsive to recent conditions at the cost of increased noise, while longer periods provide stability but slower adaptation to regime changes. The weight parameters enable traders to emphasize whichever analytical dimensions prove most predictive in their specific markets, potentially increasing trend weights for strongly trending instruments like technology stocks while increasing mean reversion weights for range-bound commodities or currencies. Through systematic backtesting and forward validation, traders can develop instrument-specific configurations that maximize the indicator's predictive accuracy.
Ultimately, the Z-Score Momentum Dashboard functions most effectively as a comprehensive analytical framework rather than a standalone trading system, providing rich statistical context that enhances decision-making across diverse trading approaches. Whether used for discretionary trade timing, systematic signal generation, risk management, or portfolio allocation, the indicator's multi-dimensional analysis, cyclical awareness, and probabilistic framework offer traders a sophisticated tool for understanding and responding to statistical patterns in market behavior that persist across timeframes, instruments, and market regimes.
Multi-Filter Slope Master CareEA professional-grade momentum indicator that combines smart EMA slope calculations with multiple confirmation filters to deliver clean, actionable trading signals. It analyzes the rate of change of key EMAs (9, 20, 50) using advanced slope calculations, filters out noise with customizable thresholds, and adds multi-timeframe trend alignment, volume confirmation, and session-based filters to ensure you only trade high-probability setups.
Perfect for scalpers and swing traders who want to catch momentum shifts while avoiding false signals during choppy markets.
QQQ 2025 Bucket ATR (Price & Volume) + Today ComparisonHow to interpret the table
For each bucket row (e.g. 09:30–10:30):
Price ATR (Y) → typical price move for that bucket across all 2025 sessions
Vol ATR (Y) → typical change in that bucket’s volume vs the previous day
Avg Vol (Y) → average total volume traded in that bucket
Today Price TR → today’s actual true range move in that bucket
Today Vol ATR → today’s volume change vs yesterday’s volume in that bucket
Today Vol → today’s raw volume for that bucket
So you can eyeball stuff like:
“9:30–10:30 today did 1.5× its usual range and 2× its usual volume, but midday buckets were dead.”
