ZHUZHUBLCKBKX MACDThis indicator is based on the standard Trading View MACD Indicator with added visual prompts to take the guess work out of buying and selling. Only use this indicator when you decide to get in or get out. Used in conjunction with "BLCKBOX Buying / Selling Sentiment" indicator.
Grafik Paternleri
High/Low Lines & Trading Session Boxes version 1Just a simple High and Low indicator with Trading Session.
available time zone:
"Etc/UTC", "America/New_York", "America/Chicago", "America/Los_Angeles","Europe/London", "Europe/Berlin", "Asia/Tokyo", "Asia/Jakarta", "Asia/Shanghai", "Australia/Sydney"
London Judas Swing Indicator by PoorTomTradingThis indicator is designed to help people identify and trade the London Judas Swing by Inner Circle Trader (ICT).
UPDATES IN V2:
This is a v2 update with automatic timezone settings, there is no longer any need to adjust the time or offset for DST.
It will now also work on any chart that trades during the Asia and London sessions (20:00 - 05:00 NY Time), including crypto.
It is recommended to use this indicator on the 5 minute timeframe.
INTRODUCTION OF KEY CONCEPTS:
Swing Points are a candle patterns defining highs and lows, these are explained further down in the description in more detail. They are shown on the indicator by arrows above and below candles. They can be removed if you wish by turning their opacity to 0% in settings. Swing points are automatically removed when price trades beyond them (above swing highs, below swing lows).
The Asia Session can be set by the user, but is defined by default as 20:00 - 00:00 NY time. Lines are drawn at the high and low of the Asia Session and the Asian Range is set at midnight.
The London Session is defined as 02:00 - 05:00 NY time.
The user can also include the pre-London session (00:00 - 02:00) for detection of breakouts and Market Structure Breaks (MSBs - explained lower down in the description with examples). This is selected by default.
EXPLANATION OF INDICATOR:
During the London Session, the indicator will wait for a break of either the high or low of the Asian Range.
When this is detected, it will draw a dashed line where the breakout occurred and trigger an alert.
After the break of the Asian Range, the indicator will look for an MSB in the opposite direction, which is when price closes beyond a swing point opposing current price direction. The indicator will draw a line indicating the MSB point and trigger an alert.
Finally, the indicator will also trigger an alert when price returns to this MSB level, which is the most simple Judas Swing entry method.
The Judas swing
Example with chart for Judas Swing short setups -
Price breaks above the Asia High, no candle close is required, the indicator will then wait for price to close a candle below the last swing low.
A swing low is defined as a 3 candle pattern, with two candles on either side of the middle one having higher lows. When a candle closes below the middle candle's low, that is an MSB.
When price returns to the MSB point, the Take Profit and Stop Loss levels will appear.
When price goes to either the Stop Loss or Take Profit level, the MSB, TP and SL, lines will be removed.
After this, if price creates a new setup in the opposite direction, the indicator will also work for this, as shown in this example that occurred right after the first example
SETTINGS:
- The "Swing Point strength" can be adjusted in the settings.
Example:
For a swing low:
The default setting is 1 (one candle on each side of a middle candle has a higher low).
You can change this setting to 2, for a 5 candle pattern (two candles on each side of the middle candle have higher lows).
This can be changed to a maximum of 10. But only 1 or 2 is recommended especially on the 5 minute chart.
- ATR Length and Triangle Distance Multiplier settings are for adjusting how the swing point symbols appear on the chart.
This is to ensure triangles are not drawn over candles when price gets volatile.
The default setting is ideal for almost all market conditions, but you can play around with it to adjust to your liking.
- Alerts.
For alerts to be triggered, they must first be selected in settings.
Then you need to go on to the chart and right-click on an element of the indicator (such as the swing point symbols) and select "add alert on PTT-LJS-v2".
If after this, you change any settings on the indicator such as session times or pre-London session, you must add the alert again, and delete the old one if you wish.
Market Structure: BoS & CHoCH (Math by Thomas)📌 Description:
Market Structure: BoS & CHoCH (Math by Thomas) is a clean and reliable market structure tool designed to visually mark Swing Highs, Swing Lows, and classify each one as HH (Higher High), LH (Lower High), LL (Lower Low), or HL (Higher Low) based on price action. It also detects and labels Break of Structure (BoS) and Change of Character (CHoCH) to help identify potential continuation or reversal in trend.
🛠️ How to Use:
Add the indicator to your chart (works on any timeframe and asset).
Adjust the "Swing Sensitivity" input to fine-tune how many bars the script uses to detect a swing high/low. A higher number smooths out noise.
The script will automatically:
Mark every confirmed swing high or low with a solid line.
Label the swing as HH, LH, HL, or LL depending on its relative position.
Show BoS (trend continuation) or CHoCH (trend reversal) labels with the current trend direction.
Toggle labels or lines on or off with the corresponding checkboxes in settings.
🔍 Tip:
Use this indicator alongside other tools like volume or RSI for more confident entries. A CHoCH followed by two BoS in the same direction often signals a strong trend reversal.
Estrategia Institucional EUR/USDIt only enters structural breakout zones if there is a confirmation candle.
Filter by the most liquid institutional sessions.
Manage risk with dynamic SL/TP based on structure.
Visually displays relevant zones (swing highs/lows).
Color Coded Volume IndicatorColor Coded Volume Indicator
Overview
Splits each bar’s total volume into estimated buy-side vs. sell-side components and displays them as stacked two-tone columns (red = sell, green = buy). Axis labels and tooltips use “K”/“M” formatting.
Features
Stacked Two-Tone Columns
Red Base : estimated sell volume (50% opacity)
Green Top : remaining buy volume (50% opacity)
Automatic K/M Formatting via format=format.volume
Zero Baseline for clean reference at zero
Positive-Only Bars (no negatives)
How It Works
True-Range Guard
Skips bars where high == low to avoid divide-by-zero.
Volume Split
BuyVol = Volume × (Close − Low) / (High − Low)
SellVol = Volume × (High − Close) / (High − Low)
Both series clamped ≥ 0.
Layered Plot
Draw semi-transparent green at full height, then overlay red sell portion.
Usage
Open TradingView’s Pine Editor
Paste in the full script
Click “Save & Add to Chart”
In the Publish dialog, title it “Color Coded Volume Indicator” and paste this description.
Interpretation
Green-dominant bars → strong buying pressure
Red-dominant bars → strong selling pressure
Equal halves → balanced activity
CANDLE KING MMC – ROS MODULE (REPEAT INTELLIGENCE)📜 Script Description – ROS Module (Repeat Intelligence)
This script is built to identify high-probability reversal areas by analyzing repeated market behavior using structured candlestick pattern logic. The detection system is grounded in the Mirror Market Concept, which emphasizes how specific formations tend to recur under similar conditions across timeframes.
It includes five key recognition modules:
RA-1: Bearish reversal following a weak-bodied candle (Negative Engulfed)
RA-2: Bullish engulfing of a potential Hanging Man
RA-3: Bullish engulfing after a Hammer
RA-4: Bearish engulfing following a Hammer
RA-5: Bearish engulfing of a Shooting Star–like structure
Each signal is based on strict parameters involving candle body size, wick-shadow ratio, and directional confirmation. Risk levels are also plotted automatically based on the structure highs/lows of the triggering formation, offering built-in stop zone references.
This tool is ideal for price action traders and analysts applying pattern repetition and structure symmetry in their strategy. It can assist in anticipating reversals without relying on traditional indicators, focusing purely on candle behavior within repeatable market sequences.
Question Mark at Specific Times5mins before 15 mins and this will giving the warming to user to pay attention to 15 mins candle to ensure trend is up or down
Reintegration OPR zone 9h30📝 Indicator Description (for TradingView):
Name: Reintegration OPR Zone – 9:30 AM EST (UTC-4)
Purpose:
This indicator is designed for US indices like NAS100, US30, or SPX500. It helps identify potential false breakouts or retests by tracking when the price re-enters the Opening Price Range (OPR) after an initial breakout.
🔍 How it works:
At 9:30 AM New York time (UTC-4), the script captures the high and low of the first 15-minute candle (which is key for the US session open).
It then draws a horizontal box (rectangle) from the high to the low of that candle.
The box extends horizontally for 7 hours (28 candles on a 15-minute chart).
The script tracks if price:
Breaks above or below the OPR zone
Then re-enters the zone (a potential "fakeout" or "retest" signal)
No label or text is displayed on the chart (you requested it to be hidden).
🕒 Timeframe:
Designed for the 15-minute chart (M15)
Assumes New York session open at 9:30 AM EST (UTC-4)
ORB 15 min w/ PDHL + bands = $$$This indicator was created for the 15 min Opening Range Breakout Strategy. The goal was to incorporate Previous Day High and Low levels (PDHL).
For visual ease, the bands can be filled in and you can easily fill in an overlay color when the ORB intersects the PDHL.
Order Blocks [TakingProphets]The Order Blocks indicator automatically finds and highlights institutional Order Blocks (OBs) on your chart — powerful price zones where smart money has previously entered the market with large orders. These areas often act as strong support or resistance, and they’re key tools for traders using ICT (Inner Circle Trader) and Smart Money Concepts (SMC) strategies.
📘 What’s an Order Block?
An Order Block is usually the last bullish or bearish candle before a big move or shift in market structure. It represents where banks, funds, or institutions placed large buy or sell orders. Retail traders often miss these zones, but smart money traders use them to anticipate where price may return, stall, or even reverse.
This indicator identifies these zones for you — both bullish and bearish — so you don’t have to manually mark them.
🔍 How the Indicator Works
It waits for a market structure shift — when price breaks out of a recent high or low range.
Then it looks back to find the last opposite candle before that breakout — that candle becomes the OB.
It draws a box from the open of that candle to the high/low (depending on type) and keeps updating the box forward.
You can choose how strict the OBs need to be (Small, Medium, or Large) using ATR-based size filtering.
🔄 Breaker Blocks (Optional Feature)
If price closes through an Order Block in the opposite direction, that OB is considered invalid. But instead of deleting it, the indicator can automatically draw a Breaker Block. Breakers are important because they often become new support or resistance zones — a sign the market has flipped direction and is now respecting that level in a new way.
🎛 Custom Settings
Choose OB detection sensitivity: High (shows smaller moves), Medium, or Low (only the biggest institutional moves).
Customize colors and whether you want to show borders on each block.
Turn Breaker Blocks on or off based on your strategy.
Everything is dynamic and updates live as price evolves.
💡 Why Use It?
Knowing where smart money entered the market gives you a huge edge. Price often returns to these Order Blocks to "rebalance" or fill unfilled orders. With this indicator, you’ll:
Spend less time marking charts.
Spot high-probability entry zones faster.
Avoid common retail traps and trade with the algorithm.
Timeframe StrategyThis is a multi-timeframe trading strategy inspired by Ross Cameron's style, optimized for scalping and trend-following across various timeframes (1m, 5m, 15m, 1h, and 1D). The strategy integrates a comprehensive set of technical indicators, dynamic risk management, and visual tools.
Core Features
Dynamic Take Profit, Stop Loss & Trailing Stop
> Separate settings per timeframe for:
-TP% (Take Profit)
-SL% (Stop Loss)
-Trailing Stop %
-Cooldown bars
> Configurable via UI inputs.
>Smart Entry Conditions
Bullish entry: EMA9 crossover EMA20 and EMA50 > EMA200
Bearish entry: EMA9 crossunder EMA20 and EMA50 < EMA200
>Additional confirmation filters:
-Volume Filter (enabled/disabled via UI)
-Time Filter (e.g., only between 15:00–20:00 UTC)
-Spike Filter: rejects high-volatility candles
-RSI Filter: above/below 50 for trend confirmation
-ADX Filter (only applied on 1m, e.g., ADX > 15)
-Micro-Volatility Filter: minimum range percentage (1m only)
-Trend Filter (1m only): price must be above/below EMA200
>Trailing Stop Logic
-Configurable for each timeframe.
- Optional via toggle (use_trailing).
>Trade Cooldown Logic
-Prevents consecutive trades within X bars, configurable per timeframe.
>Technical Indicators Used
-EMA 9 / 20 / 50 / 200
-VWAP
-RSI (14)
-ATR (14) for volatility-based spike filtering
-Custom-calculated ADX (14) (manually implemented)
>Visual Elements
🔼/🔽 Entry signals (long/short) plotted on the chart.
📉 Table in bottom-left:
Displays current values of EMA/VWAP/volume/ATR/ADX.
> Optional "Tab info" panel in top-right (toggleable):
-Timeframe & strategy settings
-Live status of filters (volume, time, cooldown, spike, RSI, ADX, range, trend)
-Uses emoji (✅ / ❌) for quick diagnostics.
>User Customization
-Inputs per timeframe for all key parameters.
-Toggle switches for:
-Trailing stop
-Volume filter
-Info table visibility
This strategy is designed for active traders seeking a balance between momentum entry, risk control, and adaptability across timeframes. It's ideal for backtesting quick reversals or breakout setups in fast markets, especially at lower timeframes like 1m or 5m.
ANS_DISCIPLINE_TOOLSDescription
After the long research of 3 years along with 200’s of indicators we have created this wonderful indicator which can avoid signals in a sideway market & gives perfect signal to buy and sell at a right time with 75 to 85% accuracy.
மூன்று ஆண்டுகளுக்கு மேல் 200க்கும் மேற்பட்ட இன்டிகேட்டர்களை ஆய்வு செய்து பரிசோதித்த பிறகு, சந்தையில் சைட்வே நிலைகளில் ஏற்படும் தவறான சிக்னல்களைத் தவிர்த்து, சரியான நேரத்தில் வாங்கும் மற்றும் விற்கும் சிறந்த சிக்னல்களை 75% முதல் 85% வரை துல்லியத்துடன் வழங்கும் இந்த அற்புதமான இன்டிகேட்டரை உருவாக்கியுள்ளோம்.
What is ANS_DISCIPLINE_TOOL?
ANS_DISCIPLINE_TOOL is a trend following indicator which gives buy and sell indication with some moving averages.
ANS_DISCIPLINE_TOOL என்பது சில மூவிங் அவரேஜ்களை அடிப்படையாகக் கொண்ட டிரெண்ட் ஃபாலோயிங் இன்டிகேட்டராகும். இது வாங்கும் மற்றும் விற்கும் சிக்னல்களை வழங்குகிறது.
This indicator is made with, trend studies ,moving averages and volume calculations, we can add pivot also in this. It can be useful to trade equity stocks, Nifty , Bank nifty future index and in some commodities .
இந்த இன்டிகேட்டர் மூவிங் அவரேஜ்கள், சூப்பர் ட்ரெண்ட் ஸ்டடீஸ் மற்றும் வால்யூம் கணக்கீடுகளைக் கொண்டு உருவாக்கப்பட்டுள்ளது. இதில் பிவோட் பாயிண்ட்ஸையும் சேர்க்க முடியும். இது இக்விட்டி ஷேர்கள், நிப்டி, பாங்க் நிப்டி மற்றும் சில கமாடிடிகளில் ட்ரேட் செய்ய மிகவும் பயனுள்ளதாக இருக்கும்.
To use this indicator trader must have basic understanding of candle pattern and chart pattern identification studies with moving averages retrenchments.
இந்த இன்டிகேட்டரை பயன்படுத்த, ஒரு ட்ரேடருக்கு candle பேட்டர்ன்கள், chart பேட்டர்ன் அடையாளம் காணும் அறிமுகம் மற்றும் மூவிங் அவரேஜ் ரிட்ரென்ச்மெண்ட்ஸ் குறித்த அடிப்படை அறிவு இருக்க வேண்டும்.
This indicator works well & gives better results if you have moving average retrenchment knowledge. When candles are retrenching specific moving average line.
இந்த இன்டிகேட்டர் மூவிங் அவரேஜ் ரிட்ரென்ச்மெண்ட் பற்றிய அறிவு இருந்தால் சிறப்பாக வேலை செய்து, சிறந்த முடிவுகளை வழங்கும். குறிப்பாக, காண்டில்கள் ஒரு குறிப்பிட்ட மூவிங் அவரேஜ் லைனை ரிட்ரெஞ்ச் செய்யும் போது இது சிறந்த பயன் தரும்.
About uses instruction and components.
Time frame – Intraday 3, 5,15, 30.
Time frame – positional 30 min, 1 hour to Weekly candle.
Components:
This indicator includes 11 horizontal lines as follows:
Red lines:
R5, R4, R3, R2, R1
Black horizontal line:
Central Point (very important reference level)
Green lines:
S1, S2, S3, S4, S5
Moving Averages:
This indicator includes four moving average lines in the following colors:
Yellow line
Black line
Purple line
Blue line
Additionally, a Continuous Step Super Trend is also incorporated.
Some advance feature :
1.There is no need to panic or be emotional because...
பேனிக் and இமோசினல் ஆக வேண்டிய அவசியம் இல்லை ஏனென்றால்
2.When there is a signal to buy or sell, it shows continuous green and red.
சிக்ணல், பை, செல்ல இருக்கும்போது கண்டினியோசா, கிரீன், அண்டு ரெட் காட்டப்படுகிறது.
3.Because of this, traders who buy when green appears and sell when red appears will feel confident at this point.
இதனால, Green வந்தவனே Buy, Red வந்தவனே Sell பண்ணக்குடிய Traders இந்த இடத்துல Confident இருப்பாங்கள்.
4.The market is moving according to the buy signal, a candle appeared for the sell signal, but the signal wasn't given, and the market continued to move in an uptrend again.
பயசிக்னல்ல மார்க்கெட் போய்ட்டுருக்கு, செல்சிக்னலுக்கு கேண்டல் வந்துரச்சி, ஆனா சிக்னல் குடுக்கல, மறுபடியே அப்ட்ரெண்ட் ஆக்வி போய்க்கொண்டே இருக்கிறது
Positional and swing traders :
Here Blue line is a Major trend indicator on intra as well as Positional basis. For intraday we will track the black line, yellow line and Purple line. Where black line is the main line (Very important) Purple and yellow lines are normal lines which we can use for retrenchment positions several times.
இங்கே நீல லைன் என்பது இன்ட்ரா டே மற்றும் பொசிஷனல் அடிப்படையில் முக்கியமான டிரெண்ட் இன்டிகேட்டராக செயல்படுகிறது. இன்ட்ரா டேவில் நாம் கருப்பு லைன், மஞ்சள் லைன் மற்றும் ஊதா லைன் ஆகியவற்றை கண்காணிக்க வேண்டும். இதில் கருப்பு லைன் தான் மிகவும் முக்கியமான முக்கிய லைன். ஊதா மற்றும் மஞ்சள் லைன்கள் சாதாரண லைன்கள், அவற்றை பலமுறை ரிட்ரென்ச்மெண்ட் பொசிஷன்களுக்கு பயன்படுத்தலாம்.
Buy:
Enter a Buy position when a Green signal appears. The accuracy of the signal increases significantly if it aligns with a pivot level or a moving average retracement.
Sell:
Enter a Sell position when a Red signal appears. The signal becomes more reliable if it coincides with a pivot level or a moving average retracement.
If you simply follow the tool for future chart then you will get almost 70-75% accuracy on it without any efforts.
If you have good technical knowledge of charts then you can easily cover up with 80-85 % accuracy on your trades.
All the best!
Opening Range Breakout Cloud Indicator by TenAMTraderOpening Range Breakout Cloud Indicator – by TenAMTrader
This indicator visually maps out the Opening Range of the trading day — the price high and low between a configurable start and end time (default: 9:30 AM–10:00 AM EST). It helps traders identify breakout levels, key intraday zones, and price behavior relative to the early range.
🔹 What It Shows:
Opening High, Low, and Midpoint lines for each day.
Clouds between the midpoint and high/low for visual clarity.
Optional Second Range (e.g., 9:30–9:45 AM) for more aggressive early signals.
Historical Ranges are preserved, allowing you to view previous days' levels on the chart.
Custom Alerts when price crosses the Opening High, Low, or Midpoint.
Full customization: colors, range times, and display toggles.
🔔 Use It For:
Spotting breakouts or rejections at key levels.
Finding early support/resistance zones.
Planning trades using intraday structure.
⚠️ Use this tool as part of a broader trading strategy. No indicator guarantees results — always trade at your own discretion.
[Pandora's Chambers] BUY/SELL Blocks + Strength FCBased on the secret technique of ATTA,
Traditional price action analysis techniques, such as ICT (Inner Circle Trader), are often based on subjective interpretations and frequently miss the true structure of the market according to the Wyckoff method. The " BUY/SELL Blocks + Strength FC" indicator aims to correct this problem by automatically and accurately identifying buy/sell "blocks" according to Wyckoff principles, calculating volume strength, filtering breached blocks, and displaying precise support and resistance levels.
Indicator Highlights
Buy/Sell Blocks Identification
Uses the ta.pivothigh and ta.pivotlow functions to locate upper and lower pivot points, and draws a "box" between the two points to represent the block.
Each block is automatically extended to the right of the chart (can be disabled in settings) for a fixed number of bars or until the end of the chart.
Colors are configurable: turquoise shades for buy blocks, and purple for sell blocks.
Volume Strength Calculation and Update
In each candle, positive volume (in a rising market) or negative volume (in a falling market) is added to the relevant block.
Displays in percentages which side (buyers/sellers) controls the block: a label on the block shows +XX% or -XX%.
Changes the background color of the box to gray when the net volume flips (e.g., a strong sell block receives a net positive).
Filtering Breached Blocks
Option to automatically filter and remove blocks where the price has closed above the top of the sell block or below the bottom of the buy block, in order to maintain a clean and focused chart.
"Adjusted" Fibonacci Grid
In the last calculated bars, the indicator identifies the nearest high support level (sup) and the nearest low resistance level (res) among all existing blocks.
Based on sup and res, a Fibonacci grid of 0%, 25%, 50%, 75%, and 100% is constructed, automatically updating as the chart progresses.
What is so new here?
Accuracy according to Wyckoff and not personal interpretation: In the Wyckoff method, market oscillations are built on supply and demand balances in precise price gaps. Here, each block is built directly on pivots from a number of bars back, and not on feelings of an "area" as is sometimes done in ICT techniques.
Quantitative measurement of control: The indicator does not settle for a visual identification of a block but calculates for each block the buy volume versus the sell volume, and clearly displays who is in control.
Automatic filtering to maintain relevance: Breached blocks are removed, so only the strong areas that have not yet been closed remain.
Full integration with modern price action: Understanding price movement is measured here objectively, leaving no room for subjective interpretations of "structure breaks" or "diagonal waves" that standard tools do not support.
Why is the existing price action not enough?
Inconsistency in defining supply and demand zones: Many techniques rely on manual marking of "buy zones" only, without fixed criteria (number of bars back, low highs, volume, etc.).
Scarcity of quantitative indicators: Without calculating net volume, it is difficult to know if a particular block is truly supported by the power of buyers or sellers.
Net invalidation of blocks that have been violated: Repeated breaches of support and resistance areas below/above their boundaries confuse the trader, while here they are automatically removed.
The " BUY/SELL Blocks + Strength FC" indicator comes to correct all these shortcomings, and provides the user with an objective, accurate, and quantitative framework for understanding the dynamics of the market and identifying volume-based support and resistance areas, according to the principles of the Wyckoff method.
Yome Kill Zones ProPerfect for US30 Entry ## Yome Kill Zones Pro
**Yome Kill Zones Pro** is a precision trading tool designed for day traders and scalpers who focus on session-based setups, liquidity sweeps, and directional bias during the London–New York overlap.
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### **Key Features**
- **Customizable Kill Zone Box**
- Marks session high/low from any user-defined time window (default: 6:00–11:30 UTC).
- **Swing Point Sweep Detection**
- Identifies significant highs/lows swept by price with momentum—ideal for supply/demand or S/R zones.
- **Independent Bias Kill Zone**
- Separate bias calculation window with adjustable start/end time to isolate market sentiment.
- **Bias Table (Always-On Display)**
- **Killzone Bias** – Shows direction based on price change during bias time.
- **Long-Term Bias** – Compares price vs. Open and EMA(50) from any selected timeframe (default: 15m).
- **Full Visual Customization**
- Editable sweep labels, line colors, line style, label visibility, and kill zone extensions.
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### **How to Use**
1. **Set Your Session Times**
- Use the “Killzone Settings” to define high/low tracking time.
- Use “Bias Killzone Settings” to define when to calculate bias direction.
2. **Check the Bias Table**
- Use **Killzone Bias** for short-term session direction.
- Use **Long-Term Bias** to align with higher timeframe market structure.
3. **Watch for Liquidity Sweeps**
- Look for momentum-based breaks of swing highs/lows within your kill zone window.
- Use these levels to anticipate reversals, retests, or continuations.
4. **Customize It Your Way**
- Everything from line styles, sweep label visibility, thickness, and colors can be customized.
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### **Best For**
- London & New York session scalpers
- Liquidity & structure-based traders
- Traders using ICT, Smart Money Concepts, or Wyckoff-style analysis
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> **Tip:** Pair with volume or order block tools for enhanced sniper entries.
Momentum Pull Back Stratergy"Master Pull Back Strategy" is a highly detailed momentum and volume-based trading system designed for Trading View. It visually annotates the chart, detects buy/sell signals, tracks market phases, and evaluates retracements and confirmations. Below is a full breakdown of its logic and components:
🔷 1. Volume Profile Highlights (Arrow Emojis)
Purpose: Show volume strength vs. average using color-coded arrows.
Calculates average volume over a user-defined period (length = 10).
Divides current volume by average volume to get volRatio.
Based on volRatio, plots small arrows (acting like diamonds) in various colors:
Low volume (black, navy, blue...) to high volume (yellow, red, purple).
Visual Purpose: Give a quick sense of how "loud" or "quiet" a candle's volume is.
📈 2. Highs of Day Tracking
Purpose: Track the high price reached during different trading sessions.
Defines pre-market, regular, and post-market sessions.
Tracks the highest price (high) in each session.
Plots colored lines:
Orange: Pre-market high
Red: Regular market high
Blue: Post-market high
🟩 3. Green Candle Pattern Detection
Purpose: Detect bullish patterns formed by consecutive green candles.
Key Conditions:
Count green candles (greenCount) until a red candle appears or 10 candles max.
Require at least 1 silver-or-above volume candle (volRatio >= 1.0).
Must have ≥3% price gain during the green sequence.
Must accumulate >20,000 volume during the green run.
If Valid:
Locks the pattern.
Records important values:
patternStartPrice, patternEndPrice, totalPatternVolume, patternHigh, patternBars
Marks the bar after which red starts (redStartBar)
⬇️ 4. Retracement Monitoring
Purpose: Track retracement from the pattern high after it locks.
Defines retracement percentage:
(greenPatternHigh - low) / (greenPatternHigh - greenPatternLow)
If retracement exceeds 80%, it invalidates the pattern.
Buy signal is disabled if pattern retraces too far.
✅ 5. Buy Signal Logic
Purpose: Fire a buy signal after pattern lock if price breaks above local high.
Conditions:
Pattern is locked (patternLocked).
Price breaks above a short-term high (triggerBreak).
It's not the first red candle.
Price is within 8.5% above EMA9.
Buy signal fires and:
Sets buyActive = true
Tracks highest price after buy
Stores buyPrice = close
❌ 6. Sell Signal Logic
Purpose: Exit signal after retracement from post-buy high.
While buy is active:
If price retraces ≥3% from the post-buy high → sellSignal = true
Resets buyActive, trackedHigh, and buyPrice
Plots a red "SELL" label above the bar.
🎨 7. Buy Signal Visual Color Coding
Purpose: Color buy signal based on how deep the retracement is.
Uses retracement percentage:
≥65% → Red (high risk)
45–65% + MACD bullish → Yellow (moderate)
<45% + MACD bullish → Green (ideal)
Plots BUY label below bar in the respective color.
🔻 8. Retracement Triangle Visuals
Purpose: Shows retracement progression while pattern is locked.
If pattern is locked and not ready for buy:
Plots triangle below bar in the buyColor for visual tracking.
⭐ 9. Star Markers Above Lock Candle
Purpose: Confirmations when pattern locks.
First Star:
Plotted above the first red candle after green pattern lock.
Second Star (⭐⭐):
Additional confirmations:
Volume OK (less than previous)
MACD bullish
Price > VWAP
VolAtLock > 100K
Price up >6% from first green candle
Price below 75% of daily EMA200 or above EMA200
Third Star (⭐⭐⭐):
Even stricter confirmations:
Volume < 60% of previous
High <= previous high
VolAtLock > 500K
Price > $3
Gain >9% from first green
Price < 50% of daily EMA200 or above EMA200
📊 10. Bar Coloring
Purpose: Visually highlight bars based on pattern phase and MACD.
Gray: MACD Bearish
Light Green: Part of active green pattern
Blue: In locked phase but no buy triggered
🔄 11. Reset Logic
Purpose: Clears all tracking variables once a buy signal fires or pattern is invalidated.
Also resets if:
Retracement is too deep
10 candles pass post-lock without a trigger
⛰️ 12. Double Top Detection
Purpose: Basic visual marker when current high == previous high.
Plots a gray triangle if current and previous bar highs match.
📌 Summary: What This Strategy Shows
Buy Opportunities: Based on high-volume green runs and confirmed breakouts.
Sell Triggers: Once a retracement from peak exceeds 3%.
Visuals for Confirmation:
Diamonds for volume
Stars for lock confidence
Colors for retracement strength
Risk Management:
Retracement filtering
Time limits on locked phases
Volume filters
Market Context: Tracks pre/regular/post market highs and daily EMA 200.
PoiBox# PoiBox: Advanced Market Structure and POI Visualization Tool
PoiBox is a comprehensive market structure analysis tool designed to identify high-probability trading zones through advanced internal market structure (IDM) detection and points of interest (POI) calculation.
## How It Works
The indicator uses a multi-step approach to analyze price action:
1. **Market Structure Identification**: The script identifies significant highs and lows within your selected time range to determine the overall market structure direction (up or down).
2. **IDM Pattern Detection**: It then analyzes internal market structure patterns within this range, focusing on significant price movements that create trading opportunities.
3. **POI Calculation**: Using adaptive ATR measurements across multiple timeframes, the indicator calculates precise POI zones where price is likely to react. These zones are calibrated based on the volatility profile of each identified structure.
4. **Timeframe Correlation**: The script automatically determines which timeframe best matches each structure's size, providing valuable context for your trading decisions.
5. **Technical Implementation**: The indicator uses a sophisticated algorithm to analyze price swings, identify pivot points, and calculate market structure connections. It maintains a database of significant highs/lows and uses these to determine trend direction and potential reversal zones.
## Display Modes
PoiBox offers three powerful display options:
- **Main BOS**: Shows only the most significant breakout structure with its associated POI zone
- **Leg**: Displays the largest price leg within the selected range along with percentage-based POI zones
- **All IDMs**: Reveals all detected internal market structures and their POI zones
## Advanced Features
- **QM Mode**: Visualizes important market structure relationships with dashed lines connecting significant highs and lows
- **Trick Display**: Identifies nested market structures (tricks) within larger patterns, perfect for precision entries
- **Customizable POI Labels**: Control which price labels appear to maintain chart clarity
- **Extensive Color Settings**: Fully customizable colors for all visual elements
- **Safety Functions**: Includes built-in buffer management and error prevention algorithms to ensure stable performance across all timeframes and market conditions
## Trading Examples
**Downtrend Example:**
When PoiBox identifies a downtrend structure (Higher High → High → Low → Lower Low), it creates POI zones based on the market structure. As shown in the chart, these zones provide excellent entry opportunities when price returns to test previous structure. In this example, entering at the red POI zone with a stop above the zone and target at the QM level resulted in a 3.45 risk/reward trade.
**How to Read QM Lines:**
The dashed lines connecting High → Low → Higher High → Lower Low reveal the market's true structure. These connections help you anticipate where price might head next. When price breaks below a significant Low and creates a Lower Low, it confirms the downtrend continuation and provides a trading opportunity when price retests the broken structure.
**POI Zone Interpretation:**
- Red zones indicate bearish POI areas (ideal for short entries)
- Green zones indicate bullish POI areas (ideal for long entries)
- Yellow zones highlight the identified market structure
## Practical Application Example
In the GBP/USD example shown in the chart:
1. PoiBox identified a downtrend structure with Higher High → High → Low → Lower Low
2. The yellow box shows the main market structure area
3. The red POI zone appeared when price returned to test previous structure
4. Entry was taken at the POI zone with stop loss above structure
5. Target was placed at the QM level, resulting in a 3.45 risk/reward ratio trade
6. The dashed QM lines showed the overall market flow and direction
This demonstrates how PoiBox automatically identifies optimal entry and exit points based on market structure, without requiring manual analysis of each price swing.
## Mathematical Approach
PoiBox uses several mathematical concepts to determine market structure and calculate POI zones:
1. **Adaptive ATR Integration**: The script analyzes ATR (Average True Range) across multiple timeframes (M1, M5, M15, H1, H4, D1, W1, MN1) to determine the appropriate volatility context for each structure.
2. **Height-to-ATR Ratio**: The indicator calculates the ratio between structure height and the closest matching ATR value to determine the structure's timeframe context.
3. **Dynamic POI Calculation**: POI values are calculated using the formula:
`POI = factor * (atr_trigger + atr_double_trigger)`
where `factor` is derived from the structure's height-to-ATR ratio.
4. **Self-Adjusting Limits**: If the calculated POI value exceeds certain thresholds relative to structure height, the script automatically applies proportional adjustments to maintain optimal zone sizing.
## What Makes PoiBox Unique
While many indicators use common concepts like support/resistance or trend analysis, PoiBox stands apart through its:
1. **Adaptive POI Calculation**: Unlike static indicators, PoiBox automatically calibrates POI zones based on each market structure's volatility profile by analyzing ATR across multiple timeframes.
2. **Smart Timeframe Detection**: The indicator automatically determines the most relevant timeframe for each structure, eliminating guesswork and helping you align your trading with the appropriate market cycles.
3. **QM Visualization System**: Our proprietary QM visualization method reveals hidden market structure relationships that standard indicators cannot detect, giving you an edge in anticipating price movements.
4. **Nested Pattern Recognition**: The "Trick" detection feature identifies high-probability setups where smaller patterns form within larger ones, creating precise entry opportunities missed by conventional tools.
5. **Self-Adjusting Analysis**: PoiBox dynamically adapts to changing market conditions without requiring manual parameter adjustments, saving you time and increasing accuracy.
These innovations combine to create a truly original trading system that transforms complex market structure concepts into clear, actionable signals.
## How To Use
1. Define your analysis area using the time range selectors (X1 and X2)
2. Choose your preferred display mode based on your trading style
3. Enable QM Mode for additional market structure context if needed
4. Use the POI zones as potential entry and exit areas for your trades
5. Reference the automatically detected timeframe indicators to align your trading with the appropriate timeframe
### Settings Explanation
**Display Settings:**
- Display Mode: Choose between Main BOS, Leg, or All IDMs visualization
- QM Mode: Enable to see market structure connections with dashed lines
**Trick Settings:**
- Trick Display: Show the main trick or all nested patterns
- Trick POI: Control which POI zones appear for trick patterns
**Label Settings:**
- Leg POI %: Customize percentage-based POI zones in Leg mode
- POI Labels: Control which price labels appear on your chart
**Time Range:**
- X1 and X2: Define the analysis area for market structure detection
**Colors:**
- TF Color: Color for timeframe labels
- H/L Color: Color for high/low labels
- QM Lines: Color for market structure connection lines
- Trick Color: Color for nested pattern visualization
This indicator is designed for traders who understand market structure concepts and want a powerful tool that automatically identifies high-probability trading zones based on structural price patterns and volatility-adjusted measurements.
FVG [TakingProphets]🧠 Purpose
This indicator is built for traders applying Inner Circle Trader (ICT) methodology. It detects and manages Fair Value Gaps (FVGs) — price imbalances that often act as future reaction zones. It also highlights New Day Opening Gaps (NDOGs) and New Week Opening Gaps (NWOGs) that frequently play a role in early-session price behavior.
📚 What is a Fair Value Gap?
A Fair Value Gap forms when price moves rapidly, skipping over a portion of the chart between three candles — typically between the high of the first candle and the low of the third. These zones are considered inefficient, meaning institutions may return to them later to:
-Rebalance unfilled orders
-Enter or scale into positions
-Engineer liquidity with minimal slippage
In ICT methodology, FVGs are seen as both entry zones and targets, depending on market structure and context.
⚙️ How It Works
-This script automatically identifies and manages valid FVGs using the following logic:
-Bullish FVGs: When the low of the current candle is above the high from two candles ago
-Bearish FVGs: When the high of the current candle is below the body of two candles ago
-Minimum Gap Filter: Gaps must be larger than 0.05% of price
-Combine Consecutive Gaps (optional): Merges adjacent gaps of the same type
-Consequent Encroachment Line (optional): Plots the midpoint of each gap
-NDOG/NWOG Tracking: Labels gaps created during the 5–6 PM session transition
-Automatic Invalidation: Gaps are removed once price closes beyond their boundary
🎯 Practical Use
-Use unmitigated FVGs as potential entry points or targets
-Monitor NDOG and NWOG for context around daily or weekly opens
-Apply the midpoint (encroachment) line for precise execution decisions
-Let the script handle cleanup — only active, relevant zones remain visible
🎨 Customization
-Control colors for bullish, bearish, and opening gaps
-Toggle FVG borders and midpoint lines
-Enable or disable combining of consecutive gaps
-Fully automated zone management, no manual intervention required
✅ Summary
This tool offers a clear, rules-based approach to identifying price inefficiencies rooted in ICT methodology. Whether used for intraday or swing trading, it helps traders stay focused on valid, active Fair Value Gaps while filtering out noise and maintaining chart clarity.
OTC COT / smart money Index 2.0 COT/ Smart money Indicator – Institutional Commitment & Position Sizing (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This indicator focuses on visualizing net positions held by commercials (smart money) and other key market participants, using data from the Commitments of Traders (COT) report. Inspired by Bernd Skorupinski’s institutional approach, the tool works hand-in-hand with the COT Index to provide a full picture of institutional sentiment and positioning strength.
👉 Core Functionality:
Displays net-long and net-short positions over time, helping traders understand how heavily institutions are positioned in a market.
Highlights historical extremes in net positions, which can act as warning signs or entry points when combined with technical analysis.
Supports customizable timeframes and asset selection (commodities, forex, indices) for maximum flexibility.
Best used in combination with the COT Index, offering a layered view of both relative extremes (COT Index) and absolute exposure (Net Positions).
The tool is designed to act as a contextual filter—it should complement technical setups rather than provide standalone trade signals.
📊 Applied Example – Gold Trade Using COT Net Position Analysis
To show the practical application, here’s a breakdown of a Gold (GC1!) trade that leveraged both COT Index and COT Net Positions to identify a high-probability setup.
Step 1️⃣ – Identifying Technical Structure:
The analysis started with classic price action review: Gold was approaching a significant demand zone, a well-established area that has historically triggered institutional buying.
Step 2️⃣ – COT Index Confirmation:
Upon reviewing the COT Index, the data revealed a 312-week buying extreme—the most aggressive commercial buying seen in over six years, signaling strong institutional accumulation.
Step 3️⃣ – COT Net Positions Validation:
Next, the COT Net Position Indicator showed that commercials were holding their largest net-long position in over 15 years—a rare and powerful signal of institutional conviction.
Step 4️⃣ – Divergence Check:
For added confirmation, divergence between commercials and retail traders was assessed:
✅ Commercials: Strongly net-long.
❌ Retail traders: Heavily net-short.
This clear divergence between smart money and retail sentiment further validated the setup.
Step 5️⃣ – Trade Execution:
With everything aligned:
Demand zone identified,
312-week COT Index extreme,
15-year high in net positions,
Divergence between commercials and retail,
…the trade was entered with a stop-loss placed just below the demand zone and a target set at a significant prior high. The result: a risk-reward ratio of 1:14.8, reflecting the strength and precision of the setup.
⚙️ What Sets This Tool Apart:
Provides deep insight into institutional exposure, showing both the magnitude of positions and how they evolve over time.
Enhances decision-making by cross-validating positioning extremes with technical levels.
Flexible design allows use across multiple asset classes and timeframes.
📌 Best Practices:
Always pair COT Net Position data with the COT Index to gauge both relative and absolute strength.
Use in conjunction with demand/supply zones or key technical levels for the strongest setups.
Look for divergence signals (institutions vs. retail) to confirm potential reversals.
Indicators Used in the Example:
This trade combined:
🧠 COT Net Position Indicator – to measure institutional exposure.
📊 COT Index – to identify positioning extremes.
📅 Seasonality Forecasting Tool – for time-based confirmation.
Together, these indicators provided a robust, multi-layered framework for high-confidence trading decisions.
OTC - COT Net positions 2.0 COT Net Position Indicator – Institutional Commitment & Position Sizing (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This indicator focuses on visualizing net positions held by commercials (smart money) and other key market participants, using data from the Commitments of Traders (COT) report. Inspired by Bernd Skorupinski’s institutional approach, the tool works hand-in-hand with the COT Index to provide a full picture of institutional sentiment and positioning strength.
👉 Core Functionality:
Displays net-long and net-short positions over time, helping traders understand how heavily institutions are positioned in a market.
Highlights historical extremes in net positions, which can act as warning signs or entry points when combined with technical analysis.
Supports customizable timeframes and asset selection (commodities, forex, indices) for maximum flexibility.
Best used in combination with the COT Index, offering a layered view of both relative extremes (COT Index) and absolute exposure (Net Positions).
The tool is designed to act as a contextual filter—it should complement technical setups rather than provide standalone trade signals.
📊 Applied Example – Gold Trade Using COT Net Position Analysis
To show the practical application, here’s a breakdown of a Gold (GC1!) trade that leveraged both COT Index and COT Net Positions to identify a high-probability setup.
Step 1️⃣ – Identifying Technical Structure:
The analysis started with classic price action review: Gold was approaching a significant demand zone, a well-established area that has historically triggered institutional buying.
Step 2️⃣ – COT Index Confirmation:
Upon reviewing the COT Index, the data revealed a 312-week buying extreme—the most aggressive commercial buying seen in over six years, signaling strong institutional accumulation.
Step 3️⃣ – COT Net Positions Validation:
Next, the COT Net Position Indicator showed that commercials were holding their largest net-long position in over 15 years—a rare and powerful signal of institutional conviction.
Step 4️⃣ – Divergence Check:
For added confirmation, divergence between commercials and retail traders was assessed:
✅ Commercials: Strongly net-long.
❌ Retail traders: Heavily net-short.
This clear divergence between smart money and retail sentiment further validated the setup.
Step 5️⃣ – Trade Execution:
With everything aligned:
Demand zone identified,
312-week COT Index extreme,
15-year high in net positions,
Divergence between commercials and retail,
…the trade was entered with a stop-loss placed just below the demand zone and a target set at a significant prior high. The result: a risk-reward ratio of 1:14.8, reflecting the strength and precision of the setup.
⚙️ What Sets This Tool Apart:
Provides deep insight into institutional exposure, showing both the magnitude of positions and how they evolve over time.
Enhances decision-making by cross-validating positioning extremes with technical levels.
Flexible design allows use across multiple asset classes and timeframes.
📌 Best Practices:
Always pair COT Net Position data with the COT Index to gauge both relative and absolute strength.
Use in conjunction with demand/supply zones or key technical levels for the strongest setups.
Look for divergence signals (institutions vs. retail) to confirm potential reversals.
Indicators Used in the Example:
This trade combined:
🧠 COT Net Position Indicator – to measure institutional exposure.
📊 COT Index – to identify positioning extremes.
📅 Seasonality Forecasting Tool – for time-based confirmation.
Together, these indicators provided a robust, multi-layered framework for high-confidence trading decisions.
OTC Seasonal forecasting tool 2.0Seasonality Forecasting Tool – Advanced Seasonal Pattern Analysis (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This script provides a structured way to analyze seasonal trends across financial markets, helping traders identify historical patterns that tend to repeat at specific times of the year. Inspired by Bernd Skorupinski’s institutional strategy, it has been refined with enhanced smoothing and customization options to improve adaptability across asset classes like commodities, forex, and indices.
👉 Core Functionality:
Analyzes historical price data over multiple lookback periods (5, 10, and 15 years) to calculate average seasonal performance.
Generates a smoothed seasonal curve that visually highlights periods of expected strength or weakness.
Allows users to customize lookback periods and adjust smoothing parameters, offering flexibility based on market type and volatility.
This tool is designed to be used as a contextual filter rather than a trade trigger—adding a layer of time-based confluence to enhance decision-making.
📊 Applied Example – Crude Oil Seasonality & Demand Zone Alignment
To demonstrate practical usage, here’s an example using Light Crude Oil Futures (CL1!) where seasonal tendencies and price structure aligned to create a high-probability setup.
Setup Steps:
1️⃣ Structural Context – Price Reaching a Demand Zone:
The market had been in a decline and approached a well-defined institutional demand area, which historically attracts buying interest.
2️⃣ Seasonality Analysis – Bullish Bias Identified:
The Seasonality Tool was applied using three distinct lookback windows:
5-year average 🟢
10-year average 🔴
15-year average 🔵
All three seasonal curves showed consistent upward trends during the late December to February period, historically signaling accumulation phases in crude oil markets.
3️⃣ Execution – Trade Setup:
With both:
Price action confirming a technical demand zone,
and seasonality indicating a strong historical bullish period,
a long position was taken targeting the next significant supply zone.
Result:
The trade unfolded as anticipated, with price rebounding strongly and delivering a risk-reward ratio of approximately 1:5.8—an outcome consistent with historical seasonal performance patterns.
⚙️ What Sets This Tool Apart:
Combines multi-timeframe seasonal data into a unified, easy-to-interpret visual output.
Includes custom smoothing algorithms to reduce noise, making the seasonal curves clearer and more reliable in fast-moving markets.
Offers flexibility to analyze not only commodities but also forex, indices, and other instruments influenced by recurring cycles (e.g., agricultural products, metals).
📌 Best Practices for Use:
Apply the tool alongside key technical zones (demand/supply) to find optimal trade timing.
Look for confluence across at least two of the seasonal curves (e.g., 5-year and 10-year averages agreeing on direction).
Use in combination with other market analysis tools—such as valuation indicators, COT data, or smart money flow—for full confirmation.
OTC valuation indicator 2.0Valuation Indicator – Relative Asset Valuation Tool (Inspired by Bernd Skorupinski Methodology)
📈 Description:
This script is designed to analyze relative value shifts between two assets—such as Gold (GC1!) and the Dollar Index (DXY)—to identify overvalued and undervalued market conditions. It is inspired by principles from Bernd Skorupinski’s methodology but has been developed with custom adjustments and improvements to enhance flexibility and adaptability across various asset classes.
👉 How It Works:
The script calculates a normalized valuation index by measuring the percentage price deviation between a target asset (e.g., Gold) and a reference asset (e.g., Dollar Index).
A moving average baseline defines fair value, with deviations indicating potential overvaluation or undervaluation.
A volatility-adjusted filter dynamically smooths the output, reducing noise and improving signal accuracy across different market environments.
Parameters such as evaluation period and sensitivity are fully customizable, allowing traders to tailor the tool to commodities, forex, indices, or other asset pairs.
📊 Detailed Example – Gold & Dollar Index Setup:
To demonstrate how the indicator can be used, here’s an example based on a real market scenario:
Context : Identifying high-probability buy setups on Gold when undervaluation is confirmed relative to the Dollar Index.
Conditions :
1️⃣ Gold enters a significant demand zone (identified through traditional technical analysis).
2️⃣ The valuation index (from this script) drops below the -75 level, signaling strong undervaluation
In both October 2022 and October 2023, the valuation index dropped well below -75, and Gold was sitting at major demand zones. The result?
📈 Massive moves to the upside, with Risk-Reward ratios hitting 1:4 or more.
snapshot
This is a textbook Bernd Skorupinski strategy setup, combining macro fundamentals (valuation) with technical structure (demand zones).
This is not just theory — the same conditions repeated multiple times, delivering repeatable, high-probability trades.
This showcases how macro mispricing (Dollar overvalued, Gold undervalued) can be identified visually and quantitatively using the indicator, enabling traders to make more confident, data-backed entry decisions.
⚙️ What Makes It Unique:
Unlike standard correlation or spread indicators, this script combines dynamic volatility filtering with a multi-step comparative analysis to better handle market volatility and price extremes.
It offers flexible asset pairing, allowing traders to adapt the tool to various market scenarios beyond just Gold/DXY—such as Oil vs. Euro or Stocks vs. Forex.
📌 Recommended Use:
Best applied on weekly and daily charts.
Should be combined with other technical tools such as support/resistance levels or demand zones for added confirmation.
Not intended as a standalone signal; it works best as part of a broader market analysis strategy.
