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
Pattern grafici
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)
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.
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.
---
### **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.
---
### **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.
---
### **Best For**
- London & New York session scalpers
- Liquidity & structure-based traders
- Traders using ICT, Smart Money Concepts, or Wyckoff-style analysis
---
> **Tip:** Pair with volume or order block tools for enhanced sniper entries.
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.
Volume Peak RectangleOutlines the 'Latest' Highest Volume Bar. Typically High Volume bars create very good support and resistance levels. This is a draw off the Opening Range Breakout theory, with the idea that high volume candles create very good upper and lower levels of liquidity zones.
Volume Sentiment Pro (NTY88)Volume Sentiment Edge: Smart Volume & RSI Trading System
Description:
Unlock the power of volume-driven market psychology combined with precision RSI analysis! This professional-grade indicator identifies high-probability trading opportunities through:
🔥 Key Features
1. Smart Volume Spike Detection
Auto-detects abnormal volume activity with adaptive threshold
Clear spike labels & multi-timeframe confirmation
RSI-Powered Sentiment Analysis
Real-time Bullish/Bearish signals based on RSI extremes
Combined volume-RSI scoring system (Strong Bull/Bear alerts)
2. Professional Dashboard
Instant sentiment status table (bottom-right)
Color-coded momentum strength visualization
Customizable themes for all chart styles
3. Institutional-Grade Tools
HTF (Daily/Weekly) volume confirmation
EMA trend-filtered momentum signals
Spike-to-Threshold ratio monitoring
4. Trade-Ready Alerts
Pre-configured "Bullish Setup" (Spike + Oversold RSI)
"Bearish Setup" (Spike + Overbought RSI)
Why Traders Love This:
✅ Real-Time Visual Alerts - SPIKE markers above bars + table updates
✅ Adaptive Thresholds - Self-adjusting to market volatility
✅ Multi-Timeframe Verification - Avoid false signals with HTF confirmation
✅ Customizable UI - 10+ color settings for perfect chart integration
Usage Scenarios:
Day Traders: Catch volume surges during key sessions
Swing Traders: Confirm reversals with RSI extremes
All Markets: Works equally well on stocks, forex & crypto
Confirmation Tool: Combine with your existing strategy
Sample Setup:
"Enter long when:
5. RED SPIKE label appears
Table shows 'Oversold RSI'
Momentum status turns 'Bullish'
Volume exceeds daily average (Confirmed)"
📈 Try Risk-Free Today!
Perfect for traders who want:
Clean, non-repainting signals
Institutional-level volume analysis
Professional visual feedback
Customizable trading rules
⚠️ Important: Works best on 15m-4h timeframes. Combine with price action for maximum effectiveness.
📜 Legal Disclaimer
By using this indicator, you agree to the following terms:
Not Financial Advice
This tool provides technical analysis only. It does NOT constitute investment advice, financial guidance, or solicitation to trade.
High Risk Warning
Trading financial instruments carries substantial risk. Past performance ≠ future results. Never risk capital you cannot afford to lose.
No Guarantees
Signals are based on historical data and mathematical models. Market conditions may change rapidly, rendering previous patterns ineffective.
User Responsibility
You alone bear 100% responsibility for trading decisions. We expressly disclaim liability for any profit/loss resulting from this tool's use.
Professional Consultation
Always consult a licensed financial advisor before taking positions. This tool should NEVER be used as sole decision-making criteria.
Educational Purpose
This indicator is provided "as is" for informational/educational use only. No representation is made about its accuracy or completeness.
Third-Party Data
We do not verify exchange data accuracy. Use signals at your own discretion after independent verification.
Nifty 0.09 Levels - Today OnlyNifty 0.09 Levels – Today Only
This indicator is designed for intraday traders on the NSE (National Stock Exchange of India), specifically for Nifty and BankNifty instruments. It identifies key price levels based on the candle that ends at 9:20 AM IST, which typically reflects the first 5 minutes of market structure after open.
What the Script Does
Detects the 9:15–9:20 AM candle (India market time).
Calculates a base level by adjusting the close of this candle by ±0.09%, creating an upper and lower bound.
Optionally plots three target levels (TG1, TG2, TG3) on both the upside and downside by applying further percentage extensions (±0.18% sequentially).
Displays these levels only for the current day, keeping your chart clean.
How It Works
The script runs on all timeframes and uses timestamp("Asia/Kolkata") to accurately isolate the target candle.
It conditionally draws horizontal lines using line.new() only if today's levels haven't already been drawn.
TG levels can be toggled on or off with a checkbox.
Levels extend visually for 60 bars (roughly one hour on a 1-minute chart) and reset daily.
Use Cases
Scalping or short-term breakout trades based on the early range.
Bias setting: Above the upper level indicates strength; below the lower suggests weakness.
Can be used in automated confluence setups or manual discretionary trades.
Why It's Unique
This tool is optimized for Indian market timing, and uses fixed percentage logic that's not commonly available in open-source range indicators. It cleanly isolates and visualizes actionable levels based on the early session candle without cluttering your chart with historical or irrelevant lines.
No external dependencies or additional scripts are required. Ideal for traders who value simplicity and precision early in the trading session.
Multiple (12) Strong Buy/Sell Signals + Momentum
Indicator Manual: "Multiple (12) Strong Buy/Sell Signals + Momentum"
This indicator is designed to identify strong buy and sell signals based on 12 configurable conditions, which include a variety of technical analysis methods such as trend-following indicators, pattern recognition, volume analysis, and momentum oscillators. It allows for customizable alerts and visual cues on the chart. The indicator helps traders spot potential entry and exit points by displaying buy and sell signals based on the selected conditions.
Key Observations:
• The script integrates multiple indicators and pattern recognition methods to provide comprehensive buy/sell signals.
• Trend-based indicators like EMAs and MACD are combined with pattern recognition (flags, triangles) and momentum-based signals (RSI, ADX, and volume analysis).
• User customization is a core feature, allowing adjustments to the conditions and thresholds for more tailored signals.
• The script is designed to be responsive to market conditions, with multiple conditions filtering out noise to generate reliable signals.
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Key Features:
1. 12 Combined Buy/Sell Signal Conditions: This indicator incorporates a diverse set of conditions based on trend analysis, momentum, and price patterns.
2. Minimum Conditions Input: You can adjust the threshold of conditions that need to be met for the buy/sell signals to appear.
3. Alert Customization: Set alert thresholds for both buy and sell signals.
4. Dynamic Visualization: Buy and sell signals are shown as triangles on the chart, with momentum signals highlighted as circles.
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Detailed Description of the 12 Conditions:
1. Exponential Moving Averages (EMA):
o Conditions: The indicator uses EMAs with periods 3, 8, and 13 for quick trend-following signals.
o Bullish Signal: EMA3 > EMA8 > EMA13 (Bullish stack).
o Bearish Signal: EMA3 < EMA8 < EMA13 (Bearish stack).
o Reversal Signal: The crossing over or under of these EMAs can signify trend reversals.
2. MACD (Moving Average Convergence Divergence):
o Fast MACD (2, 7, 3) is used to confirm trends quickly.
o Bullish Signal: When the MACD line crosses above the signal line.
o Bearish Signal: When the MACD line crosses below the signal line.
3. Donchian Channel:
o Tracks the highest high and lowest low over a given period (default 20).
o Breakout Signal: Price breaking above the upper band is bullish; breaking below the lower band is bearish.
4. VWAP (Volume-Weighted Average Price):
o Above VWAP: Bullish condition (price above VWAP).
o Below VWAP: Bearish condition (price below VWAP).
5. EMA Stacking & Reversal:
o Tracks the order of EMAs (3, 8, 13) to confirm strong trends and reversals.
o Bullish Reversal: EMA3 < EMA8 < EMA13 followed by a crossing to bullish.
o Bearish Reversal: EMA3 > EMA8 > EMA13 followed by a crossing to bearish.
6. Bull/Bear Flags:
o Bull Flag: Characterized by a strong price movement (flagpole) followed by a pullback and breakout.
o Bear Flag: Similar to Bull Flag but in the opposite direction.
7. Triangle Patterns (Ascending and Descending):
o Detects ascending and descending triangles using pivot highs and lows.
o Ascending Triangle: Higher lows and flat resistance.
o Descending Triangle: Lower highs and flat support.
8. Volume Sensitivity:
o Identifies price moves with significant volume increases.
o High Volume: When current volume is significantly above the moving average volume (set to 1.2x of the average).
9. Momentum Indicators:
o RSI (Relative Strength Index): Confirms overbought and oversold levels with thresholds set at 65 (overbought) and 35 (oversold).
o ADX (Average Directional Index): Confirms strong trends when ADX > 28.
o Momentum Up: Momentum is upward with strong volume and bullish RSI/ADX conditions.
o Momentum Down: Momentum is downward with strong volume and bearish RSI/ADX conditions.
10. Bollinger & Keltner Squeeze:
o Squeeze Condition: A contraction in both Bollinger Bands and Keltner Channels indicates low volatility, signaling a potential breakout.
o Squeeze Breakout: Price breaking above or below the squeeze bands.
11. 3 Consecutive Candles Condition:
o Bullish: Price rises for three consecutive candles with higher highs and lows.
o Bearish: Price falls for three consecutive candles with lower highs and lows.
12. Williams %R and Stochastic RSI:
o Williams %R: A momentum oscillator with signals when the line crosses certain levels.
o Stochastic RSI: Provides overbought/oversold levels with smoother signals.
o Combined Signals: You can choose whether to require both WPR and StochRSI to signal a buy/sell.
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User Inputs (Inputs Tab):
1. Minimum Conditions for Buy/Sell:
o min_conditions: Number of conditions required to trigger a buy/sell signal on the chart (1 to 12).
o Alert_min_conditions: User-defined alert threshold (how many conditions must be met before an alert is triggered).
2. Donchian Channel Settings:
o Show Donchian: Toggle visibility of the Donchian channel.
o Donchian Length: The length of the Donchian Channel (default 20).
3. Bull/Bear Flag Settings:
o Bull Flag Flagpole Strength: ATR multiplier to define the strength of the flagpole.
o Bull Flag Pullback Length: Length of pullback for the bull flag pattern.
o Bull Flag EMA Length: EMA length used to confirm trend during bull flag pattern.
Similar settings exist for Bear Flag patterns.
4. Momentum Indicators:
o RSI Length: Period for calculating the RSI (default 9).
o RSI Overbought: Overbought threshold for the RSI (default 65).
o RSI Oversold: Oversold threshold for the RSI (default 35).
5. Bollinger/Keltner Squeeze Settings:
o Squeeze Width Threshold: The maximum width of the Bollinger and Keltner Bands for squeeze conditions.
6. Stochastic RSI Settings:
o Stochastic RSI Length: The period for calculating the Stochastic RSI.
7. WPR Settings:
o WPR Length: Period for calculating Williams %R (default 14).
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User Inputs (Style Tab):
1. Signal Plotting:
o Control the display and colors of the buy/sell signals, momentum indicators, and pattern signals on the chart.
o Buy/Sell Signals: Can be customized with different colors and shapes (triangle up for buys, triangle down for sells).
o Momentum Signals: Custom circle placement for momentum-up or momentum-down signals.
2. Donchian Channel:
o Show Donchian: Toggle visibility of the Donchian upper, lower, and middle bands.
o Band Colors: Choose the color for each band (upper, lower, middle).
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How to Use the Indicator:
1. Adjust Minimum Conditions: Set the minimum number of conditions that must be met for a signal to appear. For example, set it to 5 if you want only stronger signals.
2. Set Alert Threshold: Define the number of conditions needed to trigger an alert. This can be different from the minimum conditions for visual signals.
3. Customize Appearance: Modify the colors and styles of the signals to match your preferences.
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Conclusion:
This comprehensive trading indicator uses a combination of trend-following, pattern recognition, and momentum-based conditions to help you spot potential buy and sell opportunities. By adjusting the input settings, you can fine-tune it to match your specific trading strategy, making it a versatile tool for different market conditions.
Signal Reliability Based on Condition Count
The reliability of the buy/sell signals increases as more conditions are met. Here's a breakdown of the probabilities:
1. 1-3 Conditions Met: Lower Probability
o Signals that meet only 1-3 conditions tend to have lower reliability and are considered less probable. These signals may represent false positives or weaker market movements, and traders should approach them with caution.
2. 4 Conditions Met: More Reliable Signal
o When 4 conditions are met, the signal becomes more reliable. This indicates that multiple indicators or market patterns are aligning, increasing the likelihood of a valid buy/sell opportunity. While not foolproof, it's a stronger indication that the market may be moving in a particular direction.
3. 5-6 Conditions Met: Strong Signal
o A signal meeting 5-6 conditions is considered a strong signal. This indicates a well-confirmed move, with several technical indicators and market factors aligning to suggest a higher probability of success. These are the signals that traders often prioritize.
4. 7+ Conditions Met: Rare and High-Confidence Signal
o Signals that meet 7 or more conditions are rare and should be considered high-confidence signals. These represent a significant alignment of multiple factors, and while they are less frequent, they are highly reliable when they do occur. Traders can be more confident in acting on these signals, but they should still monitor market conditions for confirmation.
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You can adjust the number of conditions as needed, but this breakdown should give a clear structure on how the signal strength correlates with the number of conditions met!
8:15 AM 15-min Candle Box on 5-min Chart with TP and SLThe “8:15 AM 15-min Candle Box on 5-min Chart with TP and SL” indicator is a custom-built Pine Script tool for breakout trading strategies, particularly tailored for assets like NASDAQ Futures (NAS100) during the U.S. market pre-open.
🔍 What It Does:
Tracks the 8:15–8:30 AM Central Time (CDT) Candle:
It marks the high and low of the 15-minute candle that starts at 8:15 AM (CDT).
The box visually outlines this price range.
Draws a Breakout Box:
At 8:30 AM, a box is drawn from the 8:15 candle’s high and low.
The box stretches forward 8 hours into the session, helping you visualize price interaction with that range.
Detects Breakouts:
If the price closes above the high, it signals a buy breakout.
If it closes below the low, it signals a sell breakout.
Automatically Calculates TP and SL:
Take Profit (TP): 50 pips from the breakout level in the direction of the trade.
Stop Loss (SL): 40 pips in the opposite direction.
Pips are calculated using the symbol’s minimum tick size.
Color Feedback:
Box turns green on a buy breakout, red on a sell breakout.
If TP is reached, the box turns black.
If SL is hit, the box turns purple.
🧠 Why Use This Indicator:
Perfect for pre-market breakout traders who want a visual confirmation of price action around the U.S. market open.
Provides a clear entry range, trade direction, and risk/reward visual cue.
No manual drawing — everything is automated daily based on reliable timing.
Would you like a version with alerts or plotted TP/SL lines as well?
AlphaTrend++AlphaTrend++
Overview
The AlphaTrend++ is an advanced Pine Script indicator designed to help traders identify buy and sell opportunities in trending and volatile markets. Building on trend-following principles, it uses a modified Average True Range (ATR) calculation combined with volume or momentum data to plot a dynamic trend line. The indicator overlays on the price chart, displaying a colored trend line, a filled trend zone, buy/sell signals, and optional stop-loss tick labels, making it ideal for day trading or swing trading, particularly in markets like futures (e.g., MES).
What It Does
This indicator generates buy and sell signals based on the direction and momentum of a custom trend line, filtered by optional time restrictions and signal frequency logic. The trend line adapts to price action and volatility, with a filled zone highlighting trend strength. Buy/sell signals are plotted as labels, and stop-loss distances are displayed in ticks (customizable for instruments like MES). The indicator supports standard chart types for realistic signal generation.
How It Works
The indicator employs the following components:
Trend Line Calculation: A dynamic trend line is calculated using ATR adjusted by a user-defined multiplier, combined with either Money Flow Index (MFI) or Relative Strength Index (RSI) depending on volume availability. The line tracks price movements, adjusting upward or downward based on trend direction and volatility.
Trend Zone: The area between the current trend line and its value two bars prior is filled, colored green for bullish trends (upward movement) or red for bearish trends (downward movement), providing a visual cue of trend strength.
Signal Generation: Buy signals occur when the trend line crosses above its value two bars ago, and sell signals occur when it crosses below, with optional filtering to reduce signal noise (based on bar timing logic). Signals can be restricted to a 9:00–15:00 UTC trading window.
Stop-Loss Ticks: For each signal, the indicator calculates the distance to the trend line (acting as a stop-loss level) in ticks, using a user-defined tick size (default 0.25 for MES). These are displayed as labels below/above the signal.
Time Filter: An optional filter limits signals to 9:00–15:00 UTC, aligning with active trading sessions like the US market open.
The indicator ensures compatibility with standard chart types (e.g., candlestick or bar charts) to avoid unrealistic results associated with non-standard types like Heikin Ashi or Renko.
How to Use It
Add to Chart: Apply the indicator to a candlestick or bar chart on TradingView.
Configure Settings:
Multiplier: Adjust the ATR multiplier (default 1.0) to control trend line sensitivity. Higher values widen the stop-loss distance.
Common Period: Set the ATR and MFI/RSI period (default 14) for trend calculations.
No Volume Data: Enable if volume data is unavailable (e.g., for certain forex pairs), switching from MFI to RSI.
Tick Size: Set the tick size for stop-loss calculations (default 0.25 for MES futures).
Show Buy/Sell Signals: Toggle signal labels (default enabled).
Show Stop Loss Ticks: Toggle stop-loss tick labels (default enabled).
Use Time Filter: Restrict signals to 9:00–15:00 UTC (default disabled).
Use Filtered Signals: Enable to reduce signal frequency using bar timing logic (default enabled).
Interpret Signals:
Buy Signal: A blue “BUY” label below the bar indicates a potential long entry (trend line crossover, passing filters).
Sell Signal: A red “SELL” label above the bar indicates a potential short entry (trend line crossunder, passing filters).
Trend Zone: Green fill suggests bullish momentum; red fill suggests bearish momentum.
Stop-Loss Ticks: Gray labels show the stop-loss distance in ticks, helping with risk management.
Monitor Context: Use the trend line and filled zone to confirm the market’s direction before acting on signals.
Unique Features
Adaptive Trend Line: Combines ATR with MFI or RSI to create a responsive trend line that adjusts to volatility and market conditions.
Tick-Based Stop-Loss: Displays stop-loss distances in ticks, customizable for specific instruments, aiding precise risk management.
Signal Filtering: Optional bar timing logic reduces false signals, improving reliability in choppy markets.
Trend Zone Visualization: The filled zone between trend line values enhances trend clarity, making it easier to assess momentum.
Time-Restricted Trading: Optional 9:00–15:00 UTC filter aligns signals with high-liquidity sessions.
Notes
Use on standard candlestick or bar charts to ensure accurate signals.
Test the indicator on a demo account to optimize settings for your market and timeframe.
Combine with other analysis (e.g., support/resistance, volume spikes) for better decision-making.
The indicator is not a standalone system; use it as part of a broader trading strategy.
Limitations
Signals may lag in highly volatile or low-liquidity markets due to ATR-based calculations.
The 9:00–15:00 UTC time filter may not suit all markets; disable it for 24-hour assets like forex or crypto.
Stop-loss tick calculations assume consistent tick sizes; verify compatibility with your instrument.
This indicator is designed for traders seeking a robust, trend-following tool with customizable risk management and signal filtering, optimized for active trading sessions.
Adaptive Freedom Machine w/labelsAdaptive Freedom Machine w/ Labels
Overview
The Adaptive Freedom Machine w/ Labels is a versatile Pine Script indicator designed to assist traders in identifying buy and sell opportunities across various market conditions (trending, ranging, or volatile). It combines Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Average True Range (ATR), and customizable time filters to generate actionable signals. The indicator overlays on the price chart, displaying EMAs, a dynamic cloud, scaled RSI levels, buy/sell signals, and market condition labels, making it suitable for swing trading, day trading, or scalping.
What It Does
This indicator generates buy and sell signals based on the interaction of two EMAs, filtered by RSI thresholds, ATR-based volatility, and user-defined time windows. It adapts to the selected market condition by adjusting EMA lengths, RSI thresholds, and trading hours. A dynamic cloud highlights trend direction or neutral zones, and candlestick bodies are colored in neutral conditions for clarity. A table displays real-time trend and volatility status.
How It Works
The indicator uses the following components:
EMAs: Two EMAs (short and long) are calculated on a user-selected timeframe (1, 5, 15, 30, or 60 minutes). Their crossover or crossunder generates potential buy/sell signals, with lengths adjusted based on the market condition (e.g., longer EMAs for trending markets, shorter for ranging).
Dynamic Cloud: The area between the EMAs forms a cloud, colored green for uptrends, red for downtrends, or a user-defined color (default yellow) for neutral zones (when EMAs are close, determined by an ATR-based threshold). Users can widen the cloud for visibility.
RSI Filter: RSI is scaled to price levels and plotted on the chart (optional). Signals are filtered to ensure RSI is within user-defined buy/sell thresholds and not in overbought/oversold zones, with thresholds tailored to the market condition.
ATR Volatility Filter: An optional filter ensures signals occur during sufficient volatility (ATR(14) > SMA(ATR, 20)).
Time Filter: Signals are restricted to a user-defined or market-specific time window (e.g., 10:00–15:00 UTC for volatile markets), with an option for custom hours.
Visual Aids: Buy/sell signals appear as green triangles (buy) or red triangles (sell). Candlesticks in neutral zones are colored (default yellow). A table in the top-right corner shows the current trend (Uptrend, Downtrend, Neutral) and volatility (High or Low).
The indicator ensures compatibility with standard chart types (e.g., candlestick charts) to produce realistic signals, avoiding non-standard types like Heikin Ashi or Renko.
How to Use It
Add to Chart: Apply the indicator to a candlestick or bar chart on TradingView.
Configure Settings:
Timeframe: Choose a timeframe (1, 5, 15, 30, or 60 minutes) to align with your trading style.
Market Condition: Select one market condition (Trending, Ranging, or Volatile). Volatile is the default if none is selected. Only one condition can be active.
Filters:
Enable/disable the ATR volatility filter to trade only in high-volatility periods.
Enable the time filter and choose default hours (specific to the market condition) or set custom UTC hours.
Cloud Settings: Adjust the cloud width, neutral zone threshold, and color. Enable/disable the neutral cloud.
RSI Display: Toggle the scaled RSI and its thresholds on the chart.
Interpret Signals:
Buy Signal: A green triangle below the bar indicates a potential long entry (EMA crossover, RSI above buy threshold, within time window, and passing volatility filter).
Sell Signal: A red triangle above the bar indicates a potential short entry (EMA crossunder, RSI below sell threshold, within time window, and passing volatility filter).
Neutral Zone: Yellow candlesticks and cloud (if enabled) suggest a lack of clear trend; avoid trading or use for range-bound strategies.
Monitor the Table: Check the top-right table for real-time trend (Uptrend, Downtrend, Neutral) and volatility (High or Low) to confirm market context.
Unique Features
Adaptive Parameters: Automatically adjusts EMA lengths, RSI thresholds, and trading hours based on the selected market condition, reducing manual tweaking.
Neutral Zone Detection: Uses an ATR-based threshold to identify low-trend periods, helping traders avoid choppy markets.
Scaled RSI Visualization: Plots RSI and thresholds directly on the price chart, making it easier to assess momentum relative to price action.
Flexible Time Filtering: Supports both default and custom UTC-based trading windows, ideal for day traders targeting specific sessions.
Dynamic Cloud: Enhances trend visualization with customizable width and neutral zone coloring, improving readability.
Notes
Use on standard candlestick or bar charts to ensure realistic signals.
Test the indicator on a demo account to understand its behavior in your chosen market and timeframe.
Adjust settings to match your trading strategy, but avoid over-optimizing for past data.
The indicator is not a standalone system; combine it with other analysis (e.g., support/resistance, news events) for better results.
Limitations
Signals may lag in fast-moving markets due to EMA-based calculations.
Neutral zone detection may vary in extremely volatile or illiquid markets.
Time filters are UTC-based; ensure your platform’s timezone settings align.
This indicator is designed for traders seeking a customizable, trend-following tool that adapts to different market environments while providing clear visual cues and robust filtering.
Support/Resistance Breakout DetectorThis indicator automatically detects and plots dynamic support and resistance levels using pivot highs and lows.
✅ It draws red resistance lines and blue support lines,
✅ The lines extend forward but automatically stop when the price touches them,
✅ It monitors for breakouts with strong volume,
✅ When a breakout happens, it shows labels like “B” or “Bull Wick” / “Bear Wick” on the chart,
✅ It also triggers alerts when support or resistance breaks with high volume.
Main settings:
Pivot lookback period
Show/hide breakout labels
Minimum volume for breakout
Maximum extension length for lines
This tool helps traders easily spot key price levels and watch for meaningful breakouts.
Multi-Symbol Trend DashboardMulti-Symbol Trend Dashboard - MA Cross Trend Monitor
Short Description
A customizable dashboard that displays trend direction across multiple symbols and timeframes using moving average crossovers.
Full Description
Overview
This Multi-Symbol Trend Dashboard allows you to monitor trend direction across 7 different symbols and 5 timeframes simultaneously in a single view. The dashboard uses moving average crossovers to determine trend direction, displaying bullish trends in green and bearish trends in red.
Key Features
Multi-Symbol Monitoring : Track up to 7 different trading instruments at once
Multi-Timeframe Analysis: View 5 different timeframes simultaneously for each instrument
Customizable Moving Averages: Choose between SMA, EMA, or WMA with adjustable periods
Visual Clarity: Color-coded cells provide immediate trend identification
Flexible Positioning: Place the dashboard anywhere on your chart
Customizable Appearance: Adjust sizes, colors, and text formatting
How It Works
The dashboard calculates a fast MA and slow MA for each symbol-timeframe combination. When the fast MA is above the slow MA, the cell shows green (bullish). When the fast MA is below the slow MA, the cell shows red (bearish).
Use Cases
Get a bird's-eye view of market trends across multiple instruments
Identify potential trading opportunities where multiple timeframes align
Monitor your watchlist without switching between charts
Spot divergences between related instruments
Track market breadth across sectors or related instruments
Notes and Limitations
Limited to 7 symbols and 5 timeframes due to TradingView's security request limits
Uses simple MA crossover as trend determination method
Dashboard is most effective when displayed on a dedicated chart
Performance may vary on lower-end devices due to multiple security requests
Settings Explanation
MA Settings: Configure the periods and types of moving averages
Display Settings: Adjust dashboard positioning and visual elements
Trading Instruments: Select which symbols to monitor (defaults to major forex pairs)
Timeframes: Choose which timeframes to display (default: M15, H1, H4, D1, W1)
Colors: Customize the color scheme for bullish/bearish indications and headers
This dashboard provides a straightforward way to maintain situational awareness across multiple markets and timeframes, helping traders identify potential setups and market conditions at a glance.
Aggregated Open Interest [Alpha Extract]The Aggregated Open Interest indicator provides a comprehensive view of open interest across multiple cryptocurrency exchanges, allowing traders to monitor institutional positioning and market sentiment. By aggregating data from major exchanges like Binance, BitMEX, and Kraken, this indicator offers valuable insights into potential price movements and market shifts.
🔶 CALCULATION
The indicator processes open interest data through multiple analytical methods:
Exchange Aggregation: Collects and normalizes open interest data from multiple exchanges (Binance, BitMEX, Kraken) with proper currency normalization.
Multi-Mode Analysis: Calculates various metrics including raw open interest values, OI change, OI delta, volume-weighted delta, and OI RSI.
Divergence Detection: Uses pivot point analysis to identify divergences between price action and open interest movements.
Activity Assessment: Tracks bullish and bearish activity patterns by correlating open interest changes with price movements.
Formula:
Aggregate OI = Sum of normalized open interest from selected exchanges
OI Change = Current OI - Previous OI
OI Delta = Net change in open interest across timeframes
OI Delta × Volume = OI Delta weighted by relative volume
OI RSI = Relative Strength Index applied to open interest values
OI Heatmap = Multi-timeframe visualization of OI changes across 7 distinct periods
🔶 DETAILS
Visual Features:
Open Interest: Candlestick representation of aggregated open interest
OI Change: Histogram showing period-to-period changes
OI Delta: Histogram displaying net OI movements
OI Delta × Volume: Volume-weighted OI delta for enhanced signals
OI RSI: Oscillator showing overbought/oversold OI conditions
OI Heatmap: Multi-timeframe visualization showing OI changes across 7 periods (3, 5, 8, 13, 21, 34, and 55 days)
Divergence Detection: Color-coded markers (teal for bullish, red for bearish) highlighting significant divergences between price and open interest
Analysis Table: Real-time summary of key metrics including aggregate OI, recent changes, and bullish/bearish activity.
Interpretation:
Increasing Open Interest + Rising Price: Strong bullish trend confirmation
Increasing Open Interest + Falling Price: Strong bearish trend confirmation
Decreasing Open Interest + Rising Price: Weak bullish trend (potential reversal)
Decreasing Open Interest + Falling Price: Weak bearish trend (potential reversal)
Divergences: Signal potential trend exhaustion and reversals when price moves in one direction while open interest moves in the opposite direction
Heatmap: Provides at-a-glance insight into open interest trends across multiple timeframes, with green bars indicating rising OI and red bars indicating falling OI
🔶 EXAMPLES
Trend Confirmation: Rising open interest accompanying a price increase confirms strong bullish momentum with institutional backing.
Example: During January-February 2025, rising OI during price advances confirms institutional participation in the uptrend.
Bearish Divergence: Price makes a higher high while open interest makes a lower high, signaling potential trend reversal.
Example: Red markers appear at market tops where price continues higher but open interest fails to confirm, preceding significant corrections.
Bullish Divergence : Price makes a lower low while open interest makes a higher low, indicating potential bottoming.
Example: Teal markers appear at market bottoms where price continues lower but open interest fails to confirm, preceding significant rallies.
OI Heatmap Analysis : Multiple timeframes showing consistent red signals across short to long-term periods indicate strong institutional selling pressure.
Example: When all 7 periods (3-55 days) show red during a price uptrend, this signals institutional selling into retail strength, often preceding major corrections.
🔶 SETTINGS
Customization Options:
Data Sources: Toggle different exchanges (Binance USDT/USD/BUSD, BitMEX USD/USDT, Kraken USD)
Display Mode: Choose between Open Interest, OI Change, OI Delta, OI Delta × Volume, OI RSI, and OI Heatmap
Currency Units: Display in USD or base cryptocurrency (COIN)
Analysis Tools: Moving Average (length and color), RSI (length and color)
Divergence Detection: Enable/disable signals, adjust lookback period and threshold percentage, customize bullish/bearish divergence colors
OI Heatmap Colors: Customize bullish (green) and bearish (red) signal colors for the multi-timeframe heatmap visualization
The Aggregated Open Interest indicator provides traders with comprehensive insights into institutional positioning across major exchanges, helping identify potential trend continuations, reversals, and key market turning points driven by smart money movements. The addition of the OI Heatmap feature enables traders to quickly visualize open interest trends across multiple timeframes, providing valuable context for institutional positioning over different market cycles.
LDO Virgin Levels from Candle Patterns (Multi-Timeframe)User Guide: LDO Virgin Levels from Candle Patterns (Multi-Timeframe)
Overview
The "LDO Virgin Levels from Candle Patterns (Multi-Timeframe)" script is a TradingView indicator that identifies and plots "virgin levels" across multiple timeframes (15-minute, 4-hour, daily, weekly, and monthly). Virgin levels are price levels drawn at key reversal points based on candlestick patterns—specifically, the high or low of a candle preceding a bullish-to-bearish or bearish-to-bullish transition. These levels remain active ("virgin") until the price crosses them, at which point they are removed, and an alert can be triggered.
Key Features
Multi-Timeframe Support: Plots virgin levels on 15-minute, 4-hour, daily, weekly, and monthly timeframes.
Customizable Display: Enable/disable specific timeframes and customize line colors and width.
Alerts: Triggers alerts when the price crosses a virgin level on any enabled timeframe.
Version Tracking: Displays the script version on the chart for easy reference (current version: 1.1.0).
How It Works
Level Detection:
On each timeframe, the script detects candlestick pattern reversals:
Bullish-to-bearish: A bullish candle (close > open) followed by a bearish candle (close < open). A level is drawn at the high of the previous (bullish) candle.
Bearish-to-bullish: A bearish candle followed by a bullish candle. A level is drawn at the low of the previous (bearish) candle.
Levels are drawn as horizontal lines extending to the right, with a label showing the price.
Virgin Status:
A level remains "virgin" until the price closes across it on a new bar for that timeframe (e.g., a new 15-minute bar for 15m levels).
Once crossed, the level is removed from the chart.
Alerting:
When a virgin level is crossed, an alert is triggered for the corresponding timeframe (if enabled).
Setup Instructions
Add the Script to TradingView:
Open TradingView and go to the Pine Editor (bottom panel).
Copy and paste the script code into the editor.
Click "Add to Chart" to apply it to your active chart.
Configure Settings:
Timeframe Selection:
Toggle which timeframes to display levels for (default: all enabled):
Show Daily Levels
Show 4H Levels
Show 15M Levels
Show Weekly Levels
Show Monthly Levels
Disabling a timeframe clears its levels from the chart.
Line Settings:
Adjust the line width (default: 1).
Customize colors for each timeframe (default colors):
Daily: White
4H: Yellow
15M: Green
Weekly: Blue
Monthly: Red
Max Lines: Set the maximum number of lines to draw (default: 500, TradingView’s limit).
Verify Version:
The script version (e.g., "Version: 1.1.0") is displayed at the top of the chart for reference.
Using the Alerting Feature
The script includes the ability to set alerts when virgin levels are crossed, with separate alerts for each timeframe. Here’s how to set them up:
Enable Desired Timeframes:
Ensure the timeframe(s) you want alerts for are enabled in the settings (e.g., "Show 15M Levels").
Create an Alert:
Right-click on the chart and select "Create Alert" (or use the bell icon in TradingView).
In the alert dialog:
Condition: Select the script ("LDO Virgin Levels from Candle Patterns (Multi-Timeframe)").
Condition Dropdown: Choose the specific alert condition for the timeframe you want to monitor:
"15m Virgin Line Crossed"
"4h Virgin Line Crossed"
"Daily Virgin Line Crossed"
"Weekly Virgin Line Crossed"
"Monthly Virgin Line Crossed"
Message: The default message (e.g., "A virgin line on the 15m timeframe has been crossed.") will be sent, but you can customize it if needed.
Notifications: Choose your preferred notification method (e.g., email, SMS, popup, webhook).
Frequency: Set to "Once Per Bar Close" to avoid multiple triggers within the same bar.
Click "Create" to activate the alert.
Repeat for Other Timeframes:
You can create separate alerts for each timeframe by repeating the process and selecting the appropriate condition.
Behavior:
Alerts trigger when the price closes across a virgin level on a new bar for that timeframe (e.g., a new 15-minute bar for 15m levels).
If multiple levels are crossed on the same bar, only one alert per timeframe will fire.
Example Use Case
Scenario: You’re trading SUIUSDT on a 15-minute chart and want alerts for 15-minute and 4-hour virgin level crossings.
Setup:
Enable "Show 15M Levels" and "Show 4H Levels" in the script settings.
Create two alerts:
One with the condition "15m Virgin Line Crossed".
Another with the condition "4h Virgin Line Crossed".
Configure notifications (e.g., email or popup).
Result: When the price crosses a 15m virgin level (e.g., at 3.3901 USD), you’ll receive an alert. Similarly, a 4h level crossing will trigger its own alert.
Notes
Chart Timeframe: The script works on any chart timeframe because it uses request.security to fetch data for higher timeframes (e.g., 15m levels will work even on a 1m chart).
Line Limit: The script caps at 500 lines total (TradingView’s limit). Older levels may be overwritten if this limit is reached.
Version Updates: Check the version number on the chart and the changelog in the script comments for updates.
Troubleshooting
No Levels Visible: Ensure the desired timeframes are enabled and that price action has triggered reversal patterns.
Alerts Not Firing: Verify that alerts are set to "Once Per Bar Close" and that the timeframe is enabled in the script settings.
Too Many Lines: Adjust the "Max number of lines to draw" setting if levels are being overwritten.
This script provides a powerful tool for traders to identify key reversal levels across multiple timeframes, with the added benefit of customizable alerts to stay informed of significant price movements.
