EMA Crossover Signals EMA Crossover Signals
EMA Crossover Signals v6 is a simple and easy-to-use trend-following indicator built with Pine Script® v6. It helps traders identify potential trend changes using the crossover of two Exponential Moving Averages (EMAs).
How It Works
A Buy signal is generated when the fast EMA crosses above the slow EMA, indicating potential bullish momentum.
A Sell signal is generated when the fast EMA crosses below the slow EMA, indicating potential bearish momentum.
The indicator plots both EMAs directly on the chart, allowing you to visualize the current market trend and crossover points.
How to Use
Consider Buy signals when the overall market is showing bullish conditions.
Consider Sell signals when the overall market is showing bearish conditions.
For better results, use this indicator alongside price action, support and resistance, volume analysis, or other forms of confirmation rather than relying on signals alone.
It can be applied to multiple markets, including Forex, cryptocurrencies, stocks, indices, and commodities, and is compatible with various timeframes.
Features
Fast and slow EMA trend detection
Clear Buy and Sell signal markers
Visual EMA plots
Customizable EMA lengths
Built-in TradingView alert conditions
Suitable for beginners and experienced traders Indicador
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Institutional Volume Strength Matrix Prowww.tradingview.com
Institutional Volume Strength Matrix Pro
Professional Smart Money Volume • Momentum • Buyers vs Sellers Strength Analyzer
Institutional Volume Strength Matrix Pro is a professional TradingView indicator designed to help traders understand the real-time relationship between market volume, buying pressure, selling pressure, momentum, and trend strength through a clean institutional-style interface. Instead of relying on traditional volume bars alone, this indicator combines multiple market variables into a single analytical framework to provide a clearer view of market participation and directional strength.
The objective of this indicator is not to predict the future, but to help traders interpret what institutional order flow and market participation are suggesting at the current moment. It continuously evaluates volume behavior, price movement, momentum, and directional strength to generate a live assessment of whether buyers or sellers currently control the market.
What is Institutional Volume Strength Matrix Pro?
Institutional Volume Strength Matrix Pro is an advanced market strength indicator built to measure the balance of buying and selling activity using a combination of adaptive volume analysis, momentum calculations, RSI trend evaluation, and institutional pressure scoring.
Unlike conventional volume indicators that only display raw exchange volume, this indicator transforms market activity into a visual representation of institutional participation by combining volume, momentum, candle behavior, and price movement into a single analytical environment.
The result is an intuitive interface that allows traders to understand whether market participants are aggressively buying, aggressively selling, or simply trading within equilibrium.
Why was this indicator created?
One of the biggest challenges traders face is identifying the actual strength behind a market move. Price may be rising while buying pressure is weakening, or price may be falling while sellers are losing momentum. Standard indicators often fail to communicate these underlying conditions.
Institutional Volume Strength Matrix Pro was developed to solve this problem by combining multiple market components into one professional analytical tool.
Its primary objectives are:
• Measure institutional buying and selling pressure.
• Evaluate market momentum.
• Display adaptive volume strength.
• Track RSI trend behavior.
• Estimate current market bias.
• Help identify strong and weak market conditions.
• Present complex calculations in a simple visual format.
How does the indicator work?
The indicator continuously analyzes every incoming candle and processes multiple layers of market information in real time.
These calculations include:
• Price movement
• Candle body strength
• Relative volume
• Market momentum
• RSI behavior
• Trend direction
• Price expansion
• Volatility
• Directional pressure
These individual calculations are combined into a proprietary market strength model that determines whether buyers or sellers currently have greater control over price movement.
Instead of using a single mathematical formula, the indicator evaluates several independent market components simultaneously before updating its visual outputs.
All calculations are performed on every new candle and automatically adapt to the selected chart timeframe.
Volume Strength Histogram
The histogram is one of the core components of the indicator.
Rather than displaying standard volume bars, it represents directional volume strength.
Green Histogram
Green bars indicate bullish participation.
As buyer activity increases:
• Histogram height increases.
• Green intensity becomes stronger.
• Bullish pressure becomes more visible.
Red Histogram
Red bars indicate bearish participation.
As selling pressure increases:
• Histogram extends downward.
• Red intensity increases.
• Seller dominance becomes more obvious.
Because the histogram combines both volume and directional movement, it provides significantly more information than traditional volume indicators.
Adaptive RSI Trend Line
Above the histogram is a dynamic RSI trend engine.
Unlike traditional RSI indicators that remain a fixed color, this RSI automatically changes its appearance based on market momentum.
Bullish Momentum
When bullish momentum strengthens:
• RSI line changes to green.
• Trend becomes easier to recognize visually.
Bearish Momentum
When bearish momentum strengthens:
• RSI line changes to red.
• Downward momentum becomes immediately visible.
This adaptive coloring allows traders to recognize momentum transitions much faster than reading numerical RSI values alone.
Live Buyers vs Sellers Strength Candle
A unique feature of the indicator is the live institutional strength candle displayed on the right side.
This candle does not represent market price.
Instead, it represents the current balance between buyers and sellers.
The upper green section expands as buyer dominance increases.
The lower red section expands as seller dominance increases.
Because the candle updates continuously, traders can instantly monitor shifts in market participation without analyzing multiple indicators.
Institutional Dashboard
The dashboard summarizes the complete market condition in a professional institutional layout.
Depending on current market conditions, it continuously updates information such as:
• Market Status
• Trend Direction
• Buyers Strength Percentage
• Sellers Strength Percentage
• Volume Strength
• Momentum Strength
• RSI Value
• RSI State
• Trend Strength Score
• Momentum Score
• Volume Score
• Pressure Score
• ATR
• Current Candle Range
• Average Candle Range
• Relative Volume
• Market Speed
• Volatility Level
• Buy Signal
• Sell Signal
• Current Timeframe
• Current Trading Symbol
• Last Update Time
• Signal Confidence
This allows traders to quickly evaluate the overall market environment without manually calculating multiple indicators.
Buy and Sell Signals
The indicator also provides Buy, Sell, Strong Buy, and Strong Sell labels when its internal confirmation logic identifies favorable market conditions.
These signals are generated only after evaluating multiple market components rather than relying on a single condition.
Signal generation considers factors such as market momentum, directional pressure, trend alignment, and volume behavior.
Because market conditions continuously evolve, signals should always be interpreted alongside overall market structure and the trader's own analysis rather than being treated as standalone trading advice.
Multi-Timeframe Compatibility
Institutional Volume Strength Matrix Pro has been designed to operate consistently across multiple TradingView timeframes.
It can be used on:
• 1 Minute
• 3 Minute
• 5 Minute
• 15 Minute
• 30 Minute
• 1 Hour
• 2 Hour
• 4 Hour
• Daily
• Weekly
• Monthly
The indicator automatically recalculates its internal market strength model according to the active chart timeframe.
How should this indicator be interpreted?
The indicator should be viewed as a complete market strength analysis tool rather than a simple buy/sell indicator.
A trader may interpret the information using the following workflow:
Observe the histogram to determine whether buyers or sellers currently dominate market participation.
Monitor the adaptive RSI line to evaluate momentum direction.
Compare buyer and seller percentages on the live strength candle.
Review the institutional dashboard to understand overall market status.
Use trend strength, momentum strength, and volume strength together before making trading decisions.
Combine the indicator with market structure, support and resistance, liquidity concepts, or personal trading strategies for additional confirmation.
The strongest analytical conditions generally occur when multiple components align in the same direction, such as bullish volume strength, increasing buyer percentage, bullish RSI momentum, and a bullish market bias.
Intended Use
Institutional Volume Strength Matrix Pro is intended for traders who wish to better understand market participation, buying pressure, selling pressure, and overall trend quality.
It is suitable for:
• Scalping
• Intraday Trading
• Swing Trading
• Forex
• Commodities
• Indices
• Cryptocurrency
• Stocks
The indicator is designed to complement price action analysis and should be used as an analytical decision-support tool rather than as an automated trading system.
Author Verification & Original Implementation Declaration
Author: Michael_Fx_Trader
Institutional Volume Strength Matrix Pro has been independently researched, designed, engineered, and implemented by Michael_Fx_Trader.
The complete Pine Script architecture, analytical framework, visualization system, adaptive volume engine, institutional buyers-versus-sellers model, dynamic momentum calculations, RSI trend engine, dashboard interface, scoring methodology, and overall software implementation were created as an original development project by the author.
This publication represents an original implementation and is not a copied, cloned, reverse-engineered, or redistributed version of any existing TradingView script, commercial indicator, proprietary software, or third-party source code. While the indicator utilizes generally known market concepts such as volume analysis, momentum, RSI, and trend evaluation, the integration of these concepts, calculation flow, visualization design, and Pine Script implementation are independently developed for this project.
Every component has been organized and implemented specifically for this indicator with the objective of providing traders a professional, intuitive, and comprehensive market strength analysis tool.
This script is published for educational, analytical, and informational purposes only. It does not constitute financial advice, investment recommendations, portfolio management, or guaranteed trading results. Users remain solely responsible for their own trading decisions and risk management practices.
© Michael_Fx_Trader. All Rights Reserved.
www.tradingview.com Indicador
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TASC 2026.08 An Ag Selling Model█ OVERVIEW
This strategy implements the "Ag Selling Model" as presented by Perry J. Kaufman in the August 2026 edition of the TASC Traders' Tips "Identifying The Best Price Levels For Selling Commodity Futures". The article describes a long-hold selling strategy for agricultural commodity futures based around the seasonal harvest timing of crops, mainly US grains traded on the CBOT and KCBOT, both which have been acquired by CME.
█ CONCEPTS
This model was originally presented in 1978 by the author to a group of commodity producers as an attempt to identify the best price levels to sell their products.
The core idea is that if there is only one crop per year, crop prices will be lowest around harvest and highest around peak growing season. Based on this timing, the strategy spaces out its sell orders up to three times throughout the year, and covers its position at harvest.
The goal of this strategy is simply to beat the average price. Since selling at harvest should typically provide a lower-than-average price exit, success for this strategy means having the average of its entries above the average price.
The level to sell at can be determined by finding a moving average that reflects seasonal changes. Once found, we measure volatility using Average True Range (ATR).
With these two figures, the volatility is added to the average based on a multiplication factor.
This creates a reasonable extreme at which to position short entries.
█ THE RULES
Sell short at the selling level.
Delay these sells to ensure two sells are not in the same rally.
Avoid selling immediately after harvest, as a long period of low prices typically follows.
Exit positions (cover shorts) at harvest.
▌Properties
IMPORTANT NOTE: The strategy parameters have been adjusted specifically for Corn Futures (ZC1!). This ticker operates in Cents (USX) rather than Dollars (USD); all the strategy values have been translated to account for this. To apply this strategy to other markets it is important to properly adjust the strategy parameters to simulate realistic conditions.
Initial Capital : 15,000,000¢ == $150,000; see note above.
Position Sizing : This strategy sells in one-contract increments up to three times per year.
Commissions : Commission value is set to 300¢ ($3) per order, which is a generous estimate.
Slippage : Slippage is set to one tick to simulate reasonable execution conditions.
█ INPUTS
Source : Source for calculations.
MA length : Moving Average length (Simple Moving Average). A 20 to 60 day range is recommended; with 40 as a starting point.
ATR length : Average True Range length.
ATR factor : Factor by which to multiply ATR when calculating selling level. 2.5 to 3.5 is generally recommended but higher has been seen for more volatile grains.
Month of Harvest : Set the month of harvest for the crop being traded, which changes depending on the seasonality of the commodity.
Delay in months after harvest : Set this to the typical downtime after harvest where prices are typically lowest. This can vary per instrument but 2 months is the suggested point for tuning.
Days between trades : Days to wait between sales.
Estratégia
[SkuldX] FVG & Session OpensSkuldX FVG & Session Opens — Institutional Imbalance Zones
by SkuldX Trading Systems
What is it?
SkuldX FVG & Session Opens combines two core concepts of institutional price analysis: true session opening levels and Fair Value Gaps. Together they identify where the market opened and where the first imbalance formed — giving traders a structural edge at the start of every session.
Session Opens
TDO (True Day Open) — marks 00:00 NY time, the true start of the trading day. The line extends to the right and updates its label dynamically as price moves, always showing the current distance from the open.
TWO (True Weekly Open) — marks the opening of a chosen day and time in NY timezone. Fully configurable: choose any day of the week and any hour/minute. Defaults to Monday 18:00 NY — the standard weekly open used by institutional traders.
Both lines are customizable in color, style, and width, with labels anchored to the right edge for clean chart readability.
Fair Value Gaps
A Fair Value Gap is a three-candle imbalance where price moves so aggressively that a gap forms between the first and third candle. These zones often act as high-probability targets for price to return and rebalance.
TWO FVG — detected on the first candle after the weekly open. This zone represents the initial weekly imbalance and remains visible for the entire week as a key reference level.
TDO First FVG — detected on the first candle after the daily open. Marks the initial daily imbalance and holds for the full session.
TDO Live FVG — recalculates every 3 bars throughout the day, always showing the most recent imbalance zone. Updates automatically — old zone is replaced as new imbalances form.
Bullish FVGs appear in green, bearish in red. Each zone is labeled inside the box for instant identification.
Settings
TDO / TWO — toggle visibility, color, line style and width per session
TWO Day of Week — choose which day triggers the weekly open (Sunday through Saturday)
TWO Hour / Minute — precise NY time for the weekly open
Show TDO First FVG — toggle the daily anchor imbalance zone
Show TDO Live FVG — toggle the rolling 3-bar imbalance zone
Show TWO FVG — toggle the weekly imbalance zone
Bullish / Bearish / Live FVG Colors — independent color control per zone type
Notes
Best used on 1h or lower timeframes where individual session opens and intraday FVGs are clearly visible. On higher timeframes the TWO FVG is the primary reference — the weekly imbalance zone that price frequently revisits before continuing its directional move.
Built for SkuldX ecosystem
Session opens and FVG zones are core inputs to SkuldX automated trading logic. Bots built on the SkuldX infrastructure use these levels for entry timing, stop placement, and target identification. Indicador
CTZ Accumulation/Distribution**CTZ Accumulation/Distribution**
A volume-based indicator that tracks whether money is flowing into or out of an asset by measuring where price closes within each bar's range, weighted by volume.
**How it works**
Each bar, a Money Flow Multiplier is calculated from the close's position between the high and low (–1 to +1). This is multiplied by volume to produce Money Flow Volume, which is added to a running cumulative total — the A/D line. Closes near the high on heavy volume push the line up (accumulation); closes near the low on heavy volume push it down (distribution).
**Features**
- **A/D Line with trend colouring** — teal when above the signal EMA, red when below, giving an at-a-glance read on money flow direction
- **Signal EMA (default 21)** — smooths the A/D line and acts as a trend filter; crosses can be used as early momentum shifts
- **Automatic divergence detection** — pivot-based logic flags bullish divergence (price makes a lower low while A/D makes a higher low = hidden accumulation) and bearish divergence (price makes a higher high while A/D makes a lower high = distribution into strength)
- **Built-in alerts** — divergence signals and signal-line crosses in both directions
**How to use it**
Confirmation: when price and the A/D line rise together, the uptrend is supported by real buying pressure. When they fall together, the downtrend is genuine.
Divergence: when price and the A/D line disagree, treat it as an early warning. Bull labels suggest smart money is accumulating into weakness; Bear labels suggest distribution into rising prices. These work best on higher timeframes and near key levels — not as standalone entries.
**Settings**
Signal EMA length, pivot lookback (sensitivity of divergence detection), and max bars between pivots (how far apart two pivots can be and still count as a divergence) are all adjustable.
**Limitations**
The A/D line ignores gaps between bars — an asset gapping up overnight registers nothing if it then closes mid-range. Pivot-confirmed divergence labels print a few bars after the pivot by design. Best used alongside momentum tools (RSI, MFI) rather than in isolation. Indicador
Time Price Opportunity Gravity Grid [ALT_analyst]Time Price Opportunity Gravity Grid
■ Description
This script executes a strictly quantified market structure analysis by integrating Time Price Opportunity (TPO) profiling, dynamic Value Area (70%) boundaries, POC Migration matrices, and Z-Score volatility anomaly detection.
By overriding standard OHLC data limitations via lower-timeframe data injection (request.security_lower_tf), it constructs an uncompromisingly high-resolution price-density profile. Trend definitions and signal thresholds are stripped of subjective bias, executing purely on the spatial shift of accepted value and mathematical volatility expansion.
■ Core Architecture & Mechanical Edge
The algorithm mandates the simultaneous confluence of three independent mathematical variables. This relentless confluence acts as a strict mechanical filter, systematically rejecting ranging environments and isolating only mathematically significant structural shifts.
1. Value Area Calculation (70% Auction Density)
Mechanics:
Computes the absolute TPO block count per session, isolating the exact price range containing 70% of execution density (approximating 1 standard deviation).
Expansion originates strictly from the POC (maximum density node) and iteratively absorbs adjacent price rows based on relative volume weight, capturing the absolute center of the market auction.
Visualization:
Deployed as modern, semi-transparent filled boxes (Value Area Box) to eliminate visual noise, obsoleting legacy dashed-line renderings.
Application:
Price action within the Value Area is mathematically defined as balance.
A confirmed close outside this boundary signals structural imbalance. To mathematically neutralize low-volume fakeouts, breakouts are strictly invalidated unless simultaneously confirmed by both POC Migration and Volatility expansion.
2. POC Migration (Structural Trend)
Mechanics:
Evaluates the spatial shift of accepted value across consecutive sessions using a discrete step-function.
// Bullish Migration (+1):
Current_POC > Previous_POC and Current_VAL > Previous_VAL
// Bearish Migration (-1):
Current_POC < Previous_POC and Current_VAH < Previous_VAH
Application:
By demanding the simultaneous directional shift of both the peak density (POC) and the boundary floor/ceiling (VAL/VAH), the script verifies that the core market consensus has definitively relocated.
3. Volatility Z-Score (Anomaly Detection)
Mechanics & Equation:
Z_Score = (ATR(14) - SMA(ATR(14), 100)) / StDev(ATR(14), 100)
Calculation Rationale:
To measure exactly how many standard deviations the current volatility deviates from its 100-period baseline, standardizing volatility spikes across all asset classes regardless of absolute price.
Expected Output Example:
If current ATR is 1.5, 100-period mean is 1.0, and standard deviation is 0.2, the Z-Score outputs 2.5 (+2.5 standard deviations above the mean).
Application:
A Z-Score strictly > 2.0 flags a statistical outlier (top ~2.2% of historical occurrences). The algorithm enforces this threshold to ensure breakouts are driven by aggressive, statistically significant kinetic expansion, rejecting market noise.
4. Gaussian Liquidity Grid Distortion
Mechanics & Equation:
Pull_Factor = Math.exp(-(Distance_Y^2) / (2 * Pull_Radius^2))
Calculation Rationale:
Utilizes a Gaussian decay function to translate historical price congestion into a gravitational pull on the background grid, mathematically quantifying market memory.
Expected Output Example:
If price is 100 ticks away with a radius of 200, the function outputs a multiplier of ~0.882, pulling the visual grid line 88.2% closer to the price center.
Application:
Distorted grid zones visually map historical liquidity pools (high probability of deceleration/mean reversion). Smooth grids indicate liquidity vacuums for rapid price discovery.
■ Signal Execution Rules
Signals execute ONLY upon total alignment:
Long Entry: Close strictly > active POC, Structural Trend = +1, Z-Score > 2.0.
Short Entry: Close strictly < active POC, Structural Trend = -1, Z-Score > 2.0.
Risk Management: Invalidations must mathematically reside outside the active Value Area (below VAL for longs, above VAH for shorts).
Disclaimer
This script provides objective mathematical analysis for educational purposes. It does not constitute financial advice.
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Estratégia
SMC ICT SESSIONS KILLZONESSMC ICT SESSIONS KILLZONES
www.tradingview.com
Professional Smart Money Concepts (SMC) & ICT Session Analysis Indicator
SMC ICT SESSIONS KILLZONES is a professional TradingView indicator developed for traders who follow Smart Money Concepts (SMC) and ICT (Inner Circle Trader) trading methodology. The indicator automatically identifies the most important institutional trading sessions, highlights session liquidity ranges, tracks previous session highs and lows, detects liquidity sweeps, evaluates daily directional bias, and generates high-quality BUY/SELL confirmations based on Smart Money price behavior.
Instead of manually drawing session boxes, liquidity levels, previous day levels, and monitoring ICT Killzones throughout the trading day, this indicator performs the complete analysis automatically and presents the information in a clean institutional-style layout.
The objective of this indicator is to simplify ICT session analysis while preserving the core Smart Money concepts used by professional traders.
Why This Indicator Was Created
Institutional traders pay close attention to specific trading sessions because the majority of liquidity, volatility, and directional moves occur during these periods.
Many retail traders struggle to:
• Draw session boxes accurately every day.
• Track session highs and lows manually.
• Identify liquidity sweeps.
• Understand daily market bias.
• Recognize high probability ICT Killzone opportunities.
• Monitor Previous Day High (PDH) and Previous Day Low (PDL).
• Maintain a clean and organized trading chart.
SMC ICT SESSIONS KILLZONES was created to solve these problems by combining all essential ICT session tools into one professional indicator.
What This Indicator Does
The indicator automatically monitors every trading day and continuously performs institutional session analysis.
It identifies each major trading session, records its complete trading range, tracks session highs and lows, extends important liquidity levels forward, detects when those levels are swept by price, evaluates the current daily bias, and presents everything through a clean dashboard without requiring manual chart markup.
The indicator is designed to assist traders in understanding where institutional liquidity exists and how price reacts around those important areas.
Institutional Trading Sessions
The indicator automatically detects the four major ICT trading sessions.
Asia Session
The Asia Session establishes the initial liquidity range of the trading day.
The indicator automatically:
• Draws the complete session box.
• Records session high.
• Records session low.
• Calculates session range.
• Displays the completed range on the chart.
London Session
London is one of the highest volume trading sessions.
The indicator automatically tracks:
• London High
• London Low
• Session Range
• Liquidity Levels
• Session Box
New York AM Killzone
This session is one of the most important ICT trading periods.
The indicator automatically monitors:
• Opening volatility
• Institutional liquidity
• High and Low formation
• Session range
• Liquidity extension levels
New York PM Session
The afternoon session is also tracked automatically.
The indicator records:
• High
• Low
• Session Range
• Liquidity Levels
• Session Box
Session Boxes
Every completed session is displayed using clean institutional session boxes.
Each box clearly shows:
• Session beginning
• Session ending
• Session High
• Session Low
• Total Session Range
These visual session ranges allow traders to quickly identify where liquidity has formed during the day.
Session High & Low Liquidity Levels
After every session finishes, the indicator automatically extends the session High and Low forward into future price action.
These levels act as important liquidity references where price often reacts.
Every liquidity level is labeled clearly.
Examples include:
Asia High
Asia Low
London High
London Low
New York AM High
New York AM Low
New York PM High
New York PM Low
These levels remain visible to help traders monitor future liquidity interactions.
Previous Day High (PDH) & Previous Day Low (PDL)
The indicator automatically calculates:
• Previous Day High
• Previous Day Low
Both levels are displayed as extended dashed horizontal lines.
These institutional reference levels are widely used in ICT and Smart Money Concepts because they frequently become liquidity targets during the following trading day.
Midnight Open (00:00 Open)
The indicator also tracks the Midnight Open.
This level is commonly used within ICT methodology to determine daily directional bias.
The Midnight Open remains visible throughout the trading day and acts as an important reference point for evaluating bullish or bearish market conditions.
Liquidity Sweep Detection
One of the most valuable features of this indicator is automatic liquidity sweep detection.
Whenever price sweeps:
• Previous Session High
or
• Previous Session Low
the indicator immediately marks the event directly on the chart.
This allows traders to quickly identify potential Smart Money liquidity grabs before reversals or continuation moves occur.
BUY & SELL Confirmation Logic
The indicator includes Smart Money inspired BUY and SELL confirmations.
Signals are generated only after multiple conditions align.
For BUY confirmations, the indicator evaluates factors such as:
• Sell-side liquidity sweep
• Bullish reclaim
• Bullish price confirmation
• Daily bullish bias
For SELL confirmations, the indicator evaluates:
• Buy-side liquidity sweep
• Bearish rejection
• Bearish confirmation
• Daily bearish bias
The objective is to reduce unnecessary signals and focus only on higher quality opportunities based on institutional price behavior.
Daily Market Bias
Understanding directional bias is one of the most important parts of ICT trading.
The indicator continuously evaluates market conditions and classifies the day as:
• Bullish
• Bearish
• Neutral
This information helps traders align their execution with the prevailing market direction.
Session Dashboard
The professional Session Dashboard provides a complete overview of the trading day.
The dashboard includes:
• Current active session
• Live session status
• Individual session ranges
• Current trading range
• Daily bias
• Latest BUY or SELL signal
The dashboard is designed with a clean institutional appearance while occupying minimal chart space.
Monochrome Candle Mode
To improve chart readability, the indicator can optionally paint candles using a clean monochrome style.
Bullish candles appear brighter while bearish candles appear darker, allowing traders to focus more on price structure instead of excessive colors.
This feature can be enabled or disabled at any time.
Fully Customizable Settings
Every major component of the indicator can be customized.
Users can configure:
• Session Timezone
• Session Times
• Session Colors
• Dashboard Position
• Dashboard Size
• Session History
• Level Extension Distance
• Liquidity Levels
• Previous Day Levels
• Midnight Open
• Candle Coloring
• Session Boxes
• Dashboard Visibility
• BUY/SELL Signals
• Sweep Detection
This flexibility allows traders to adapt the indicator to their preferred trading style and market.
Best Timeframes
The indicator performs effectively across multiple timeframes.
Recommended usage includes:
• 1 Minute
• 3 Minute
• 5 Minute
• 15 Minute
• 30 Minute
• 1 Hour
It is particularly useful for intraday traders, ICT traders, Smart Money traders, scalpers, and session-based market participants.
Designed For
SMC Traders
ICT Traders
Liquidity Traders
Price Action Traders
Day Traders
Scalpers
Forex Traders
Indices Traders
Gold Traders
Crypto Traders
Institutional Style Market Analysis
How to Read the Indicator
Begin by identifying the current active session from the dashboard.
Observe the completed session boxes and understand where institutional liquidity has accumulated.
Watch the session High and Low extension levels for potential liquidity targets.
Monitor PDH, PDL, and Midnight Open to understand higher timeframe context.
When price sweeps an important liquidity level, observe whether the market rejects or reclaims that area.
Finally, combine the indicator's BUY or SELL confirmation with your own market structure, risk management, and execution strategy before entering a trade.
The indicator is intended to provide objective market context and institutional reference levels rather than act as a standalone automated trading system.
Author Verification & Original Implementation Declaration
Indicator Name: SMC ICT SESSIONS KILLZONES
Author: Michael_Fx_Trader
This TradingView indicator has been independently designed, engineered, and implemented by Michael_Fx_Trader.
The Pine Script implementation represents an original software development project created specifically for TradingView. Every calculation routine, session management system, dashboard component, visualization method, liquidity tracking process, session box architecture, market bias evaluation, alert structure, and overall script organization has been independently implemented by the author.
This indicator follows publicly known Smart Money Concepts (SMC) and ICT trading principles. These methodologies are widely used within the trading community and are not proprietary. However, the Pine Script source code, program structure, feature integration, optimization techniques, user interface, visualization logic, and implementation architecture contained in this indicator are the independent work of Michael_Fx_Trader.
The author verifies that this script was developed through an original implementation process and was engineered to provide a professional, efficient, and TradingView-ready institutional session analysis tool. No proprietary or protected source code from commercial indicators has been copied, reverse engineered, or redistributed as part of this implementation.
Original Implementation Verification
Michael_Fx_Trader hereby verifies that SMC ICT SESSIONS KILLZONES represents an independently developed Pine Script implementation created from the ground up for TradingView. All algorithms, calculations, session management routines, liquidity mapping, dashboard systems, visualization techniques, and feature integrations contained within this script reflect the author's own implementation approach and software engineering decisions.
Copyright © Michael_Fx_Trader. All Rights Reserved.
www.tradingview.com Indicador
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Previous Day High Low Key Levels, Reach Stats & Alerts [LunqFX]The previous day high and previous day low — PDH and PDL — are the first two levels most intraday traders mark on the chart, together with the previous week high and low. They are not hand-drawn support and resistance: they are objective facts of what the market did, which is exactly why price keeps reacting to them. This indicator plots those key levels automatically on any symbol and any timeframe, shades the previous day's range, tracks which levels are still untested, and answers the question no other levels tool answers — how often price actually reaches them on the instrument you are trading.
❶ THE LEVELS IT PLOTS
Every level is taken straight from the instrument's own higher-timeframe candles, so nothing needs configuring and it works the same on forex, gold, indices, crypto and stocks.
PDH and PDL — previous day high and low. The core intraday support and resistance levels.
PWH and PWL — previous week high and low. Higher-timeframe context for swing trading.
PMH and PML — previous month high and low, optional, for the bigger picture.
Each level is labelled with its name and exact price, and each timeframe gets its own label column on the right, so levels sitting at almost the same price never overlap.
❷ UNTESTED vs TESTED — WHICH LEVEL STILL MATTERS
This is the difference between a level that will move price and one that already has.
UNTESTED — price has not returned to it in the current period. It is drawn bright, solid and glowing. Untested levels are the strongest magnets, because the orders resting there have not been filled yet.
TESTED ✕ — price has already traded through it. The line turns dashed and dim, and the label gets a ✕. Its pull is spent, so you stop treating it as a fresh level.
The dashboard also names the NEAREST MAGNET: the closest untested level above or below price, which is the most likely place price travels to next.
❸ REACH STATS — WHAT MAKES THIS DIFFERENT
Most key-level indicators simply draw lines and stop there. This one measures how your symbol actually behaves, over the last 100 completed days:
PDH reached — the share of days on which price traded all the way up to the previous day's high.
PDL reached — the same for the previous day's low.
Break rate — of the days that did reach the level, how often price closed through it instead of rejecting from it.
That turns a line into a decision. If the previous day high is reached on 68% of days but broken on only 27% of them, a rejection is far more likely than a breakout — so you plan a fade, not a chase. On another symbol the numbers flip, and so does the plan.
❹ HOW TO TRADE IT
1 — Read the DAY RANGE state. INSIDE RANGE means balance and rotation: fade the edges back toward the middle. EXPANSION means price has left yesterday's range and the day is trending: trade continuation, not reversals.
2 — Pick the target. The NEAREST MAGNET is the closest untested level — use it as the objective for a trade you are already in.
3 — Check the stats before you commit. High reach rate with a low break rate favours fading the level; a high break rate favours trading the breakout through it.
4 — Trade the reaction. Wait for price to arrive at an untested PDH, PDL, PWH or PWL, then enter on the rejection or on the break, using the level itself as your invalidation.
5 — Look for confluence. Weekly and monthly levels outrank daily ones, and when a daily level sits right on top of a weekly level, that is the strongest zone on the chart.
❺ HOW IT WORKS
Each level is read from the previous completed higher-timeframe candle, using the offset pattern that keeps higher-timeframe data fixed, so a level never changes after it is drawn. A level is flagged tested the moment price trades through it, and resets when the new period begins. The reach statistics are calculated only from completed daily candles: the share of days whose high reached the prior day's high, whose low reached the prior day's low, and — as a conditional rate — how many of those days closed beyond the level. Nothing repaints and nothing looks into the future.
SETTINGS — turn day, week and month levels on or off, hide tested levels, shade the previous day and week range with adjustable transparency, control level width, right extension and line thickness per timeframe, switch the custom candles off, and place the dashboard strip where you want it.
ALERTS — previous day high reached, previous day low reached. Both fire on closed bars only.
This indicator is an educational market-analysis tool, not financial advice. The reach statistics describe past behaviour on the current symbol and do not guarantee future results. Always confirm with your own analysis and manage your risk.
Indicador
Liquidity Sweep Hunter | AlphaScript💧 Liquidity Sweep Hunter
Liquidity Sweep Hunter maps the resting liquidity at swing highs and lows — the stop orders sitting just beyond obvious pivots — and detects when price raids it. It marks each level as resting, swept, or reclaimed, so you can see both where liquidity is waiting and when it gets taken.
💡 The idea behind it
Stop orders cluster just beyond swing highs and swing lows. Above a swing high sit the stops of short sellers and the buy orders of breakout traders — buy-side liquidity (BSL). Below a swing low sit the opposite — sell-side liquidity (SSL). Larger participants are drawn to these pools because that resting liquidity is what fills their orders. When price spikes through a level, takes the stops, and rejects back, that is a liquidity sweep — often the origin of a reversal. This tool identifies those events systematically instead of by eye.
🔍 How detection works
Levels are anchored to confirmed swing pivots (default lookback 10 bars each side). A swing high becomes a buy-side liquidity level; a swing low becomes a sell-side liquidity level. Pivots are only registered after they are fully confirmed, so levels do not repaint. Each level is drawn as a line and tagged so its state is always clear:
⇠ Resting — an unswept level. The stops are still sitting there; price may return to raid it. Tagged BSL ⇠ (above swing highs) or SSL ⇠ (below swing lows). These are potential targets.
✗ Swept — price wicked through the level but the bar closed back on the original side. The stops were taken and price rejected. Tagged ✗ BSL swept or ✗ SSL swept.
⟲ Reclaimed — price closed through the level, then on a later bar closed back across it: a failed break that reclaimed the level. Tagged ⟲ BSL reclaimed or ⟲ SSL reclaimed.
You choose the detection mode: Wick (sweeps only), Reclaim (break-and-reclaim only), or Both.
🎯 Penetration filter
An optional ATR-based filter requires price to pierce the level by a minimum multiple of ATR before an event qualifies. Because it is measured in ATR rather than fixed ticks, it means the same thing across every instrument — no re-tuning when you switch markets. Set to zero to disable.
🟠 Broken levels
In Reclaim and Both modes, a level that price closes through is kept on the chart in a distinct color and tagged while it awaits a possible reclaim — so you can see levels that failed but might still be reclaimed. These can be toggled off for a cleaner chart.
📊 Dashboard
A compact panel shows the current symbol, the number of active buy-side and sell-side levels being tracked, and the active detection mode. Theme (dark/light), size, and position are all configurable.
🎨 Customization
Full control over the look: colors for bullish/bearish events, level lines, and broken levels; line style and width for both level lines and event lines; label text color (for readability on light or dark charts); how far pending level lines extend; and toggles for level lines, event labels, pending-level tags, and broken levels.
📈 How to use it
Watch the resting (⇠) levels as the liquidity price may be drawn toward. When a swing high is swept (✗ BSL) after an up-move, buy-side liquidity has been taken and a move down may follow; a swept swing low (✗ SSL) can signal the reverse.
Reclaim events flag failed breaks that often precede a move back in the reclaim direction. Use the tags as points of interest to combine with your own structure read, higher-timeframe bias, and risk management — the tool shows where liquidity rests and when it is taken; you decide what to do with it.
🔔 Alerts
Separate alerts for SSL sweep, BSL sweep, SSL reclaim, BSL reclaim, plus combined "Any Sweep" and "Any Reclaim" conditions.
⚙️ Settings
Swing lookback, detection mode, ATR penetration filter, maximum active levels, level age limit, visible-event cap, recent-bars window for signal shapes, plus the full display and customization controls above.
📌 Notes
This tool detects liquidity at swing pivots specifically — individual swing highs and lows. It is one lens on liquidity and pairs naturally with equal-high/low and session-level analysis for a fuller picture. Events are confirmed on closed bars and do not repaint intrabar. A liquidity sweep marks where stops were taken, not a guaranteed reversal — always combine with your own analysis and risk management. Indicador
Volatility Squeeze Scanner MTF [StrixEDGE]Overview
A multi-timeframe volatility squeeze detector that identifies when Bollinger Bands contract inside Keltner Channels across four configurable timeframes simultaneously. The indicator combines squeeze state detection with a LazyBear-method momentum oscillator and a real-time consensus engine, giving traders a structured view of cross-timeframe compression without switching charts.
Volatility squeezes represent periods of contracting price action — energy building before a directional move. Detecting them on a single timeframe is common. Detecting them across multiple timeframes at once isolates the higher-probability setups where compression is structural, not noise.
How It Works
Squeeze Detection
A squeeze fires when the Bollinger Bands (SMA ± standard deviation) fully contract inside the Keltner Channel (SMA ± ATR). This means the upper Bollinger Band is below the upper Keltner Channel AND the lower Bollinger Band is above the lower Keltner Channel. When both conditions hold, volatility has compressed below its average range — the market is coiling.
Bull BIAS
Bear BIAS
Momentum Oscillator (LazyBear Method)
The momentum histogram is calculated as the linear regression of the difference between price and the average of the Donchian Channel midline and SMA. This produces a zero-centered oscillator that reveals both the direction and acceleration of momentum inside the squeeze.
The histogram uses a four-tone color scheme:
- Bright green — bullish momentum, accelerating
- Dark green — bullish momentum, decelerating
- Bright red — bearish momentum, accelerating
- Dark red — bearish momentum, decelerating
Squeeze-State Dots
Dots on the zero line change color based on the current chart timeframe's squeeze state:
- Orange dot — squeeze is active (BB inside KC)
- Teal dot — no squeeze (BB outside KC)
The transition from orange to teal marks the moment the squeeze fires — volatility is expanding and the move is underway.
Multi-Timeframe Consensus
The indicator runs the squeeze calculation independently on four user-defined timeframes via `request.security()`. A consensus table displays each timeframe's squeeze state, momentum direction, momentum acceleration, and squeeze duration in real time.
Consensus is reached when the number of timeframes simultaneously in squeeze meets or exceeds the user-defined threshold (default: 3 out of 4). The background subtly highlights when consensus is active, with a brighter flash on the bar where consensus is first reached.
How to Read It
Entry context:
Wait for the consensus row to show 3/4 or 4/4 CONSENSUS — this confirms compression is happening across the timeframe stack, not just locally. The higher the consensus count, the more significant the potential expansion.
Directional bias:
The MOM and DIR columns across timeframes reveal whether momentum is aligned. When most timeframes show BULL + ▲, the bias favors long. When most show BEAR + ▼, the bias favors short. Mixed readings suggest no clear directional edge — patience is warranted.
Timing the release:
Watch the zero-line dots on the current chart timeframe. When the dot transitions from orange (squeeze active) to teal (squeeze released), the coil is unwinding. The histogram's color and direction at that moment indicate the likely direction of the expansion.
Duration as context:
The DUR column shows how many bars each timeframe has been in squeeze. Longer durations generally correspond to larger eventual moves. A fresh squeeze (DUR = 1–3) may still be forming. An extended squeeze (DUR = 15+) is deeply compressed and more likely to produce a significant breakout.
Inputs
Bollinger Bands
- Length — lookback period for the SMA and standard deviation (default: 20)
- Multiplier — standard deviation multiplier for band width (default: 2.0)
Keltner Channel
- Length — lookback period for the SMA and ATR (default: 20)
- Multiplier — ATR multiplier for channel width (default: 1.5)
Timeframes
- Four independently configurable timeframes (default: 5m, 15m, 1H, 4H)
- Choose timeframes that create meaningful structure for your trading style
Consensus
- Minimum TF Consensus — how many timeframes must be in squeeze simultaneously to trigger consensus (2, 3, or 4; default: 3)
Momentum
- Momentum Source — price source for all calculations (Close, Open, High, Low, HL2, HLC3, OHLC4)
Alerts
5 alert conditions are available:
- Squeeze Consensus Reached — fires when the minimum TF consensus threshold is first met
- Squeeze Consensus Broken — fires when consensus drops below the threshold
- Consensus + Bullish Bias — consensus active with 3+ timeframes showing positive momentum
- Consensus + Bearish Bias — consensus active with 3+ timeframes showing negative momentum
- Full 4/4 Squeeze — all four timeframes in simultaneous squeeze
Indicador
Golden Cross Engine [Quantum Algo]Golden Cross Engine
====================================================
🔶 OVERVIEW
Golden Cross Engine is a complete golden cross and death cross indicator that goes far beyond marking the moving average crossover: it counts down to the next cross before it happens, grades every cross by quality, measures what golden and death crosses have actually done on the current symbol with honest statistics, and lets every cross marker settle into its real outcome so the chart itself shows which crosses worked and which failed.
The golden cross — the fast moving average crossing above the slow, classically the 50 over the 200 — is one of the most watched events in all of trading, and the death cross is its bearish mirror. Every major cross makes financial headlines. This engine turns that famous event from a headline into a measurable, projectable, and auditable object on your chart.
🔶 WHAT ARE THE GOLDEN CROSS AND DEATH CROSS?
A golden cross occurs when a faster moving average (traditionally the 50 period) closes above a slower one (traditionally the 200 period), signaling that intermediate momentum has overtaken the long-term trend — historically read as the start of a bullish regime. A death cross is the opposite: the fast average crossing below the slow, read as the start of a bearish regime. Because both averages move slowly, the cross itself is a lagging event — which is exactly why this engine adds a convergence countdown that shows the cross forming before it prints.
🔶 WHY THIS SCRIPT IS ORIGINAL
1. The convergence countdown. The engine measures the current slope of both averages and projects their geometry forward, drawing the two converging paths and marking where and when they would meet: "Golden Cross ≈ 9 bars" with the projected price level. It is a projection at current slopes — clearly labeled as such, never a forecast — and it makes the most-watched lagging signal in trading visible in advance. An approach alert fires when the countdown first enters your chosen lead window.
2. Markers that settle into their outcome. Every cross prints in neutral gold, then resolves twenty bars later: the bullish or bearish color if the cross delivered, faded gray if it failed. The chart becomes its own audit trail — scroll back and see the honest history of every cross on the symbol.
3. Per-symbol cross statistics. Using shrinkage-adjusted win rates and Wilson confidence bounds, the engine reports how often golden and death crosses were favorable on this exact symbol and timeframe at five, twenty, and sixty bars, with sample counts and average moves — on every marker's tooltip and in the dashboard. It answers "does the golden cross actually work here" with data instead of folklore.
4. Cross quality grading. Every cross is graded A, B, or C from three observable conditions: elevated volume at the cross, slope steepness of the fast average, and momentum confirmation of price relative to it. Grade A crosses are the full-confluence events.
5. A living regime fill. The zone between the averages breathes: the bullish or bearish tint intensifies as the gap widens and pales as a cross approaches, so regime strength and regime fatigue are visible at a glance. Cross bars flash once.
6. Multi-timeframe cross state. The dashboard shows whether the fast average is above or below the slow on the fifteen-minute, one-hour, four-hour, daily, and weekly timeframes simultaneously — full-stack regime alignment in two compact rows.
🔶 HOW IT WORKS
Averages: Selectable simple or exponential averages at configurable lengths, defaulting to the classic 50 and 200.
Countdown: The engine computes each average's recent slope and solves the convergence geometry. When the averages are approaching within the horizon, it draws both projected paths, the meeting diamond with the bar count, and the projected level. When they are separating, the dashboard reads Diverging.
Statistics: Each confirmed cross records what price actually did five, twenty, and sixty bars later, in the cross's direction, into capped first-in-first-out databases. Win rates are pulled toward fifty percent by pseudo-samples so a thin history cannot display fake confidence, and each rate carries a Wilson lower bound. Crosses are rare events by nature, so sample counts are honest and often small — markers read "collecting history" until the minimum is met.
Outcome settlement: Each marker stores its cross price; twenty bars later it recolors by the realized directional outcome and joins the capped history.
Grading: Volume z-score, normalized slope steepness, and price-side confirmation combine into the A, B, C grade shown on the marker tooltip and dashboard.
Non-repainting: Crosses, grades, and statistics are evaluated on closed bars. The countdown updates on the live bar by design — it is a live projection, and it is labeled as one.
🔶 HOW TO USE IT
1. The natural home is the daily chart of major symbols — indices, large-capitalization stocks, cryptocurrency — where the 50 and 200 cross is the famous event. Intraday charts work identically with proportionally more crosses and deeper samples.
2. Watch the countdown as regime alarm: a shrinking bar count with a steepening fast average means the regime change is forming in front of you.
3. Read the settled history before trusting a fresh cross: a chart full of gray markers is telling you crossovers chop on this symbol; a chart of colored ones is telling you they trend.
4. Use the grade as confluence: an A-grade cross with volume, steep slope, and price confirmation is a different event from a flat, quiet drift-through.
5. Check the timeframe rows: a golden cross on your chart while the daily and weekly already sit bullish is alignment; against them, it is a counter-trend event.
6. The statistics rows are context, not commands — favorable rates describe this chart's history, never the next cross.
🔶 SETTINGS
- Average type and both lengths.
- Countdown: projection toggle, horizon, and approach alert lead.
- Statistics: sample cap, minimum samples to grade, shrinkage strength, Wilson z-score, markers to keep.
- Visuals: all colors, gradient fill toggle, cross-bar flash toggle.
- Themeable dashboard: position, four text sizes, title band, background, frame, grid, and three text colors.
🔶 ALERTS
- Golden Cross / Death Cross — the crossover confirmed at bar close.
- Golden Cross Approaching / Death Cross Approaching — the countdown first entered the alert lead window at current slopes.
- Grade A Cross — a cross fired with full quality confluence.
🔶 FREQUENTLY ASKED QUESTIONS
Does the indicator repaint? No. Crosses, grades, statistics, and marker settlement are evaluated on closed bars. The countdown is a live-bar projection and is explicitly presented as one.
Is the countdown a prediction? No. It is where the averages meet if both keep their current slopes. Slopes change; the countdown updates with them. Its value is showing the event forming, not promising the date.
Why are the sample counts small? Because genuine crosses are rare — a daily chart may produce only a handful in years of data. The engine shows honest small numbers with confidence bounds instead of inventing large ones, and lower timeframes build deeper samples.
Why did an old cross marker turn gray? It failed: twenty bars after that cross, price had not moved in the cross's direction. Gray markers are the audit trail working.
Which lengths should I use? The classic 50 and 200 define the famous event. Faster pairs produce more crosses and richer statistics at the cost of more noise.
🔶 CREDITS
The golden cross and death cross are classical moving-average crossover concepts in the public domain of technical analysis, watched across generations of market participants. The Wilson score interval is by Edwin B. Wilson (1927), and shrinkage estimation is standard public statistics. This script gratefully acknowledges that shared lineage. The convergence countdown and projection geometry, the outcome-settling markers, the per-symbol statistical grading, the living regime fill, and all code in this script are original work — no third-party or open-source script code was reused.
🔶 LIMITATIONS
Moving average crossovers are lagging by construction, and the countdown inherits the assumption of stable slopes. Cross samples are naturally small on higher timeframes; statistics mature with history and faster settings. Volume grading is less meaningful on symbols with unreliable volume reporting. Multi-timeframe rows describe state, not signals. No indicator replaces independent analysis.
🔶 DISCLAIMER
This script is provided strictly for educational and informational purposes. It is not financial advice, an investment recommendation, or a solicitation to buy or sell any financial instrument. Past behavior of any cross, projection, or statistic does not guarantee future results. Trading involves substantial risk. Always do your own research and manage risk independently. Indicador
Institutional Adaptive VWAP Trend Ribbon ProInstitutional Adaptive VWAP Trend Ribbon Pro
Overview
Institutional Adaptive VWAP Trend Ribbon Pro is an advanced institutional trend-following indicator built from the ground up in Pine Script® Version 6 for traders who want a cleaner understanding of market structure, directional momentum, trend continuation, and potential reversal zones without relying on multiple separate indicators.
Unlike traditional moving averages or standard trend indicators that react slowly to changing market conditions, this indicator combines an Adaptive VWAP Engine, Dynamic Volatility Analysis, Institutional Trend Ribbon, Adaptive ATR Trail, Momentum Evaluation, Trend Strength Scoring, and Smart Confirmation Filters into one unified trading framework.
The primary objective of this indicator is to simplify complex market information into an easy-to-read institutional trend ribbon that visually highlights bullish, bearish, and neutral market conditions while automatically identifying trend transitions and momentum changes.
The indicator is suitable for traders who prefer price action combined with adaptive market analysis rather than fixed moving averages or lagging trend systems.
Why This Indicator Was Developed
Financial markets constantly change their volatility, liquidity, and momentum characteristics. Traditional trend indicators usually operate using fixed calculations, making them less effective during changing market environments.
This indicator was specifically developed to solve several common problems faced by traders:
• Late trend entries
• Frequent false trend reversals
• Choppy market conditions
• Lack of institutional trend visualization
• Difficulty identifying trend strength
• Poor volatility adaptation
• Multiple indicators creating chart clutter
Instead of using several different indicators simultaneously, Institutional Adaptive VWAP Trend Ribbon Pro combines multiple adaptive calculations into a single visual framework.
The result is a cleaner chart while maintaining a large amount of market information.
Core Concept
The indicator continuously evaluates price relative to an Adaptive VWAP while simultaneously measuring volatility, momentum, trend persistence, deviation expansion, and directional strength.
Instead of asking only:
"Is price above or below a moving average?"
the indicator asks a much more advanced question:
"Is there enough institutional evidence to consider this trend healthy, sustainable, and worth following?"
Only after evaluating multiple market conditions does the trend ribbon update its state.
Adaptive VWAP Engine
The heart of this indicator is its Adaptive VWAP Engine.
Instead of relying on only one fixed VWAP calculation, the user may choose different operating modes including:
• Rolling Bars
• Rolling Days
• Daily VWAP
• Weekly VWAP
• Monthly VWAP
Each mode allows the indicator to adapt to different trading styles.
Scalpers may prefer shorter rolling calculations.
Swing traders may choose weekly or monthly anchored VWAP calculations.
This flexibility allows the indicator to remain useful across multiple market environments.
Adaptive Deviation System
Markets constantly expand and contract.
Using fixed-width bands often creates misleading signals during high or low volatility periods.
To solve this issue, the indicator dynamically measures market deviation while simultaneously protecting the band width using ATR.
This prevents the ribbon from collapsing during quiet markets while also allowing it to naturally expand during high volatility periods.
The adaptive deviation envelope therefore reflects actual market conditions rather than static calculations.
Institutional Trend Trail
The indicator continuously builds an adaptive trailing trend line using volatility-adjusted calculations.
Unlike simple ATR trails, this trail automatically adjusts its distance according to current market strength.
During strong trends:
• Trail becomes tighter
• Trend reacts faster
• Pullbacks remain inside the ribbon
During weak trends:
• Trail widens
• Noise is filtered
• False reversals become less frequent
This adaptive behaviour helps create smoother trend transitions.
Institutional Trend Ribbon
One of the most recognizable visual components of the indicator is the Institutional Trend Ribbon.
Instead of drawing a single colored line, the indicator creates multiple gradient layers which produce a professional ribbon effect.
The ribbon changes dynamically according to market conditions.
Green Ribbon
Represents bullish market conditions.
The brighter the ribbon becomes, the stronger the bullish trend.
Red Ribbon
Represents bearish market conditions.
Increasing ribbon intensity indicates strengthening bearish momentum.
Neutral Ribbon
When trend strength becomes weak, the ribbon automatically switches into a neutral state to indicate uncertainty.
This helps traders avoid forcing trades during low-quality market conditions.
Adaptive Glow System
The glow surrounding the ribbon is not simply cosmetic.
Its size automatically changes according to:
• Trend strength
• Volatility
• Momentum
• Recent trend flips
Strong institutional trends produce a wider and brighter glow.
Weak trends produce a smaller glow.
This provides additional visual confirmation without adding chart clutter.
Institutional Trend Strength Engine
One of the most advanced parts of this indicator is its internal Trend Strength Engine.
Rather than using a single measurement, the indicator evaluates multiple market characteristics including:
• Price position relative to VWAP
• VWAP slope
• Price momentum
• Distance from adaptive trail
• Band participation
• ATR expansion
• Trend persistence
• Price velocity
• Volatility regime
These components are combined into a normalized strength score ranging from 0 to 100.
Higher scores indicate stronger institutional participation.
Lower scores indicate weakening momentum or sideways conditions.
Smart Confirmation Filters
Before generating confirmed trend signals, the indicator can evaluate several optional confirmation filters.
These include:
• VWAP confirmation
• Momentum confirmation
• Slope confirmation
• ATR expansion confirmation
• RSI confirmation
• Minimum strength confirmation
These filters allow traders to customize how conservative or aggressive the signals should become.
Buy Signals
Bullish signals appear when:
• Trend flips bullish
• Confirmation requirements are satisfied (depending on settings)
• Institutional trend strength exceeds the selected threshold
Buy markers are plotted directly on the adaptive trend ribbon.
Sell Signals
Bearish signals appear when:
• Trend flips bearish
• Confirmation requirements are satisfied
• Institutional strength requirements are met
Sell markers appear directly on the ribbon for immediate visual recognition.
Candle Coloring
The indicator can automatically paint candles according to trend direction.
Green candles indicate bullish conditions.
Red candles indicate bearish conditions.
Neutral conditions remain unpainted.
This provides instant trend recognition even without watching the ribbon continuously.
Alert System
Multiple alert conditions are included:
• Bullish Trend
• Bearish Trend
• Buy Signal
• Sell Signal
• Trend Change
• Ribbon Flip
• Momentum Expansion
These alerts allow traders to automate notifications without constantly monitoring charts.
Recommended Markets
The indicator has been designed to work across a wide range of liquid financial markets, including:
• Forex
• Gold (XAU/USD)
• Silver
• Stock Indices
• Individual Stocks
• Cryptocurrencies
• Commodities
Recommended Timeframes
Depending on the selected VWAP mode, the indicator can be used on multiple timeframes.
Scalping:
1 Minute
3 Minutes
5 Minutes
Intraday:
15 Minutes
30 Minutes
1 Hour
Swing Trading:
4 Hour
Daily
Important Notes
This indicator is designed as a trend analysis and market structure tool.
Like every technical indicator, it should be used together with sound risk management, proper trade planning, and overall market context.
No indicator can predict future price movement with certainty.
Author Verification Declaration
This indicator has been independently researched, designed, engineered, coded, tested, optimized, and maintained by Forex_Market_Insights.
Every algorithm, visualization method, adaptive calculation, trend engine, ribbon construction, confirmation framework, and implementation included in this publication represents the original work of the author.
The indicator has been developed using Pine Script® Version 6 through independent software engineering practices with the objective of providing a professional institutional trend-following solution for TradingView users.
Original Indicator Script Implementation Verification
Institutional Adaptive VWAP Trend Ribbon Pro is an original implementation created by Forex_Market_Insights.
The script architecture, adaptive VWAP framework, dynamic deviation calculations, institutional trend ribbon visualization, adaptive trailing methodology, trend strength engine, confirmation logic, gradient rendering system, and overall implementation have been independently developed specifically for this indicator.
This publication represents an original Pine Script implementation created for TradingView and reflects the author's own design decisions, coding structure, visualization techniques, and algorithm integration.
Copyright & Ownership Declaration
© Forex_Market_Insights
All original source code, implementation logic, calculations, visualization methods, user interface design, documentation, and accompanying publication text are the intellectual work of Forex_Market_Insights.
This indicator has been created specifically for educational and analytical purposes on TradingView. Unauthorized redistribution, misrepresentation of authorship, or republication of the original implementation without appropriate permission may violate applicable intellectual property rights and TradingView House Rules.
www.tradingview.com Indicador
5min ORB + Ripster EMA Clouds5min ORB + Ripster EMA Clouds
This indicator combines a 5-minute Opening Range Breakout engine with Ripster's multi-EMA cloud system and layers an optional confluence filter on top, so breakout signals only fire when trend and higher-timeframe structure agree. It's built for intraday traders who want the opening range, trend context, and a defined profit target all in one overlay.
What it plots
Opening Range Breakout (ORB): The range is built from the first five 1-minute candles of the session (default 09:30–09:35 New York, fully configurable for your market and timezone). Once the window closes, the high, low, and midpoint are frozen and drawn as lines, an optional shaded box anchored at the session open, and optional price labels. Levels are measured on the 1-minute timeframe, so they stay identical on any chart timeframe you view.
Ripster EMA Clouds: Five configurable EMA/SMA cloud pairs (defaults 8/9, 5/12, 34/50, 72/89, 180/200) that shade green/red based on the fast-vs-slow relationship to show trend at a glance.
Breakout signals: Fire when a confirmed 1-minute candle closes outside the range, latched once per side per day.
Confluence "GO" signals (optional): A breakout is only flagged when the fast cloud (and optionally the 34/50 cloud in strict mode) agrees with the breakout direction.
Full Timeframe Continuity (optional): Requires the current Daily (and optionally 60m + 30m) candles to be pointing the same way as the trade — i.e. price above their opens for longs, below for shorts.
Profit Target Box: After the confirmation candle closes, projects a target at a configurable percentage of that candle's range (default 200%, equivalent to a 2:1 setup with the stop on the far side of the candle) and marks the moment price tags it.
How to use it
Apply it to an intraday chart (1-minute is recommended for signal accuracy). Wait for the opening range to close and freeze. Watch for a 1-minute close beyond the ORB high/low; the confluence "GO" label appears when the EMA clouds and your chosen continuity setting confirm the direction. The profit box then projects a target from the entry. All signals use confirmed, closed candles with lookahead handling designed to avoid repainting. Alerts are included for plain breakouts, confluence signals, and profit-target hits. Every input (session window, timezone, cloud lengths, filters, target percentage, colors) can be adjusted in settings.
Credits
The EMA cloud section is a faithful port of "Ripster EMA Clouds" by ripster47, converted from Pine Script v4 to v6, and is used under the Mozilla Public License 2.0. All other components — the opening range engine, 1-minute breakout confirmation, confluence logic, Full Timeframe Continuity filter, and profit target box — are original additions and make up the majority of the script.
This tool is for chart analysis and education only. It does not provide financial advice or guarantee any result; always do your own research and manage risk. Indicador
Indicador
Indicador
Auto Target Pro◆➤OVERVIEW
Auto Target Pro v6 is a professional TradingView indicator designed to help traders manage entries, stop loss, and profit targets with a structured approach.
The indicator combines trend analysis, volatility measurement, and risk-based target calculation to provide a complete trade management system directly on the chart.
Auto Target Pro helps traders visualize potential entry points, risk levels, and multiple profit targets without manually calculating every level.
◆➤FEATURES
• Automatic BUY and SELL signals
• Dynamic Entry price calculation
• ATR-based Stop Loss system
• Automatic TP1, TP2, and TP3 levels
• Risk-to-Reward based target projection
• Real-time trade management
• Visual Entry, Stop Loss, and Target lines
• Target hit detection system
• Professional dashboard display
• Alert support for signals and targets
• Works on Forex, Crypto, Stocks, Indices, and Commodities
• Designed for scalping, intraday, and swing trading
◆➤HOW IT WORKS
Auto Target Pro uses a combination of trend structure and volatility analysis.
The system identifies market direction using trend calculations and detects potential trading opportunities.
After a signal appears:
◆➤BUY Setup:
Entry price is calculated automatically
Stop Loss is placed using market volatility
TP1, TP2, and TP3 are calculated based on risk distance
◆➤SELL Setup:
Entry price is calculated automatically
Stop Loss is adjusted according to bearish conditions
Multiple profit targets are displayed automatically
The target levels are dynamic and adapt according to current market conditions.
◆➤HOW TO USE
Add Auto Target Pro v6 to your TradingView chart.
Select your preferred timeframe according to your trading style:
Scalping: 1m, 5m, 15m
Intraday: 30m, 1H
Swing Trading: 4H, Daily
Wait for BUY or SELL confirmation.
Use the displayed levels:
Entry = Trade activation area
SL = Risk protection level
TP1 = First profit target
TP2 = Second profit target
TP3 = Final target area
Always combine signals with proper risk management and your own market analysis.
◆➤IMPORTANT NOTE
Auto Target Pro is a technical analysis tool created to assist traders in decision-making. No indicator can guarantee future market results. Always use proper risk management before entering any trade. Indicador
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