VWAP Double Touch Alert (Timeframe-Aware)📌 VWAP Double Touch Alert — Smart Re-entry Signal for Precision Traders
Take your VWAP trading to the next level with this intelligent indicator that filters out the noise and zeroes in on high-probability re-entry setups.
💡 How it works:
This script tracks every time price touches the VWAP line and alerts you when it happens twice within a defined window of time (adjustable per your timeframe). This is often a sign of smart money accumulation, potential reversals, or explosive breakouts.
🔍 Why Traders Love It:
✅ Filters out weak signals — only alerts on confirmed double touches
✅ Fully adjustable VWAP zone sensitivity
✅ Selectable timeframe profiles or custom window (1m, 5m, 15m, 30m, etc.)
✅ Clean visual cues with minimal chart clutter
✅ Perfect for scalping, intraday reversals, or VWAP mean-reversion strategies
⚙️ Customization:
VWAP zone width (in %)
Time window in bars or automatic based on timeframe
Custom alert messages
Alert only triggers once per double-touch event to avoid spamming
🎯 Best For:
Crypto scalpers & day traders
VWAP bounce and mean-reversion traders
Traders who want clean, conclusive entry alerts without lag
Cerca negli script per "scalping"
Bollinger Volatility AnalyzerThe Bollinger Volatility Analyzer (BVA) is a powerful enhancement of the traditional Bollinger Bands indicator, tailored to help traders identify volatility cycles and catch potential breakouts with better precision and timing. It builds upon the foundational concept of Bollinger Bands—using a moving average and standard deviation bands—but adds crucial insights into market contraction and expansion, which can be instrumental in timing entries and exits.
Here's how it works and why it's useful
At its core, the indicator calculates a moving average (called the "basis") and plots two bands—one above and one below—based on a multiple of standard deviation. These bands expand during volatile periods and contract during quiet ones. The width between these bands, normalized as a percentage of the basis, gives us a sense of how compressed or expanded the market currently is. When the band width drops below a user-defined threshold (like 2%), the script highlights this with an orange triangle below the bar. This is the "squeeze" condition, signaling a potential buildup of market energy—a kind of calm before the storm.
What makes this version of Bollinger Bands particularly powerful is that it not only detects squeezes, but also tells you when price breaks out of that squeeze range. If price closes above the upper band after a squeeze, a green "Breakout ↑" label is shown; if it closes below the lower band, a red "Breakout ↓" appears. These breakout labels act as entry signals, suggesting that volatility is returning and a directional move has begun.
This indicator is especially useful in markets that tend to alternate between consolidation and breakout phases, such as forex, crypto, and even individual stocks. Traders who look for early signs of momentum—whether for swing trading, scalping, or position building—can benefit from this tool. During a quiet market phase, the indicator warns you that a move might be coming; when the move starts, it tells you the direction.
In fast-moving markets, BVA helps filter out noise by focusing only on high-probability conditions: quiet consolidation followed by a strong breakout. It’s not a complete system by itself—it works best when paired with volume confirmation or oscillators like RSI—but as a volatility trigger and directional guide, it’s a reliable component of a trading workflow.
Hybrid Swing/Day Alert System - PLATINUM EditionThis indicator is a complete trading assistant designed for crypto swing and day traders, built to identify high-probability long and short setups based on a multi-confirmation system.
Strategy Logic
The system scans and confirms entries only when 6 major confluences align:
1. EMA Trend: Price is above or below the EMA 9, 21, and 200 (bullish or bearish trend).
2. RSI Zone: RSI(14) is between 40-60 (ideal reversal zone).
3. Volume Confirmation: Volume is declining on pullback and then spikes.
4. Accumulation/Distribution: A/D line rising (for longs) or falling (for shorts).
5. Fibonacci Pullback Zone: Automatic detection of swing high/low and checks if price is inside the golden zone (0.5-0.618).
Built-In Alerts
- Long Setup Confirmed - Short Setup Confirmed - Setup Forming: Monitor
Conclusion
This script is ideal for disciplined traders who value confluence-based entries, risk/reward logic, and trend-aligned trades. Perfect for semi-automated trading via alerts or manual execution.6. Candle Pattern: Bullish (hammer, doji, engulfing) or Bearish (rejection wick, engulfing, doji).
Visual Features
- Long Entry: Green square
- Short Entry: Red triangle
- Pre-Signal Alert: Blue circle (confluence forming)
- Dynamic Table: Displays all 6 confirmations in real time
- Fibonacci Zones: Auto-plotted long/short retracement zones
- Customizable: Turn on/off alerts, overlays, and direction filters
Best Use Cases
- 4H/Daily: Trend confirmation
- 1H: Entry execution
- 15min: Scalping (use cautiously)
- Works great with BTC, ETH, SOL, XAU, and meme coins
Supertrend + Stochastic RSIThe Supertrend + Stochastic RSI indicator is designed for scalping and short-term trading, combining the trend-following power of the Supertrend with the momentum insights of the Stochastic RSI to generate reliable buy and sell signals. This indicator aims to reduce false signals by requiring confirmation from both trend direction and momentum, making it suitable for traders targeting quick, high-probability trades in fast-moving markets on lower timeframes (e.g., 1-minute to 15-minute charts).
How It Works
The indicator integrates two technical components to produce actionable signals:
Supertrend for Trend Direction:
The Supertrend, calculated with a default length of 10 and a factor of 3.0, identifies the prevailing trend. It plots a line above or below the price, turning green when the trend is bullish (price above Supertrend) and red when bearish (price below Supertrend). This helps traders stay aligned with the market’s direction, reducing trades against the trend.
Stochastic RSI for Momentum Confirmation:
The Stochastic RSI, computed over a 14-period RSI with 3-period smoothing for %K and %D lines, measures momentum. A buy signal is generated when the %K line crosses above the oversold level (default: 20), indicating potential upward momentum, while a sell signal occurs when %K crosses below the overbought level (default: 80), suggesting downward momentum.
Signal Generation
Signals are produced only when both conditions align, using the previous bar’s values to prevent repainting:
Buy Signal: The Stochastic RSI %K crosses above the oversold level, and the Supertrend confirms a bullish trend (price above Supertrend). Displayed as a green upward triangle below the bar.
Sell Signal: The Stochastic RSI %K crosses below the overbought level, and the Supertrend confirms a bearish trend (price below Supertrend). Displayed as a red downward triangle above the bar.
Buy and Sell Pressure Signals (Clean)This script identifies strong buy and sell pressure based purely on candlestick structure — no indicators, no clutter. It highlights key reversal or momentum candles using minimal visuals:
🔼 Green Triangle (Buy Pressure): A bullish candle with a large body and small upper/lower wicks, indicating strong upward momentum and buyer control.
🔽 Red Triangle (Sell Pressure): A bearish candle with a large body and small wicks, showing strong downward momentum and seller dominance.
Designed for traders who prefer clean, price-action-based signals without text labels or distracting overlays. Ideal for scalping, trend confirmation, or identifying exhaustion zones.
TTM Scalper AlertTTM Scalper Alert — Real-Time Pivot Detector
Description:
This is a custom implementation of the classic TTM Scalper Alert, adapted to show early pivot detection and trend structure tracking in real-time. The script identifies potential highs and lows before the full pivot confirmation—giving traders an early edge—and removes outdated signals once pivots are confirmed.
It supports two levels of detection:
Fast Alert Pivots : Identified after Alert Period candles confirm a local reversal.
Confirmed Pivots : Validated only after Pivot Period candles on both sides ensure a true swing high/low.
How It Works:
Fast Detection (Early Pivots):
Detected after Alert Period (AP) candles. These are provisional signals, shown as triangle labels (▲▼) near current price. Only the latest signal is shown; previous fast pivots are deleted to avoid clutter.
Confirmed Pivots:
Detected with a full lookback of Pivot Period (PP) on both sides of the candle. Shown using plotshape with triangle markers (▲▼). Serve as anchors for price structure analysis (HH-HL or LL-LH tracking).
Custom Source Option:
Users can choose to base pivots on High/Low or Close/Open range. Helps adjust sensitivity depending on volatility or bar structure.
How to Interpret:
Trend & Market Structure:
Use Confirmed Pivots (plotshapes) to analyze market structure:
HH → HL: Uptrend
LL → LH: Downtrend
Watch for breaks in structure for possible reversals
Early Alerts:
The floating labels (▲▼) represent early warnings of a potential pivot. Use them to anticipate:
Short-term exhaustion
Quick scalping entries
Divergence setups
Inputs:
Source : Choose from High/Low or Close/Open — affects how pivots are calculated
Alert Period : How fast the script detects an early reversal pattern (used for entry timing)
Pivot Period : How many candles before/after to confirm a full pivot (used for structural analysis)
Best For:
Traders who follow price action and structure
Scalpers and intraday traders who want early signals
Anyone using pivot highs/lows for confluence with other tools (like RSI divergence, Bollinger Bands, VWAP, etc.)
Pro Tips:
Combine this with:
Trend Magic or Supertrend for directional bias
Volume spike filters to confirm reversal intent
RSI/CCI divergence to strengthen reversal pivots
Adjust Alert Period to tune early signal sensitivity (lower = faster but noisier)
Smart Trend Lines [The_lurker]
Smart Trend Lines
A multi-level trend classifier that detects bullish and bearish conditions using a methodology based on drawing trend lines—main, intermediate, and short-term—by identifying peaks and troughs. The tool highlights trend strength by applying filters such as the Average Directional Index (ADX) (A), Relative Strength Index (RSI) (R), and Volume (V), making it easier to interpret trend strength. The filter markers (V, A, R) in the Smart Trend Lines indicator are powerful tools for assessing the reliability of breakouts. Breakouts containing are the most reliable, as they indicate strong volume support, trend strength, and favorable momentum. Breakouts with partial filters (such as or ) require additional confirmation, while breakouts without filters ( ) should be avoided unless supported by other strong signals. By understanding the meaning of each filter and the market context.
Core Functionality
1. Trend Line Types
The indicator generates three distinct trend line categories, each serving a specific analytical purpose:
Main Trend Lines: These are long-term trend lines designed to capture significant market trends. They are calculated based on pivot points over a user-defined period (default: 50 bars). Main trend lines are ideal for identifying macro-level support and resistance zones.
Mid Trend Lines: These are medium-term trend lines (default: 21 bars) that focus on intermediate price movements. They provide a balance between short-term fluctuations and long-term trends, suitable for swing trading strategies.
Short Trend Lines: These are short-term trend lines (default: 9 bars) that track rapid price changes. They are particularly useful for scalping or day trading, highlighting immediate support and resistance levels.
Each trend line type can be independently enabled or disabled, allowing traders to tailor the indicator to their preferred timeframes.
2. Breakout Detection
The indicator employs a robust breakout detection system that identifies when the price crosses a trend line, signaling a potential trend reversal or continuation. Breakouts are validated using the following filters:
ADX Filter: The Average Directional Index (ADX) measures trend strength. A user-defined threshold (default: 20) ensures that breakouts occur during strong trends, reducing false signals in range-bound markets.
RSI Filter: The Relative Strength Index (RSI) identifies overbought or oversold conditions. Breakouts are filtered based on RSI thresholds (default: 65 for overbought, 35 for oversold) to avoid signals in extreme market conditions.
Volume Filter: Breakouts are confirmed only when trading volume exceeds a moving average (default: 20 bars) and aligns with the breakout direction (e.g., higher volume on bullish breakouts when the candle closes higher).
Breakout events are marked with labels on the chart, indicating the type of trend line broken (Main, Mid, or Short) and the filters satisfied (Volume, ADX, RSI). Alerts are triggered for each breakout, providing real-time notifications.
3. Customization Options
The indicator offers extensive customization through input settings, organized into logical groups for ease of use:
Main Trend Line Settings
Length: Defines the number of bars used to calculate pivot points (default: 50).
Bullish Color: Color for upward-sloping (bullish) main trend lines (default: green).
Bearish Color: Color for downward-sloping (bearish) main trend lines (default: red).
Style: Line style options include solid, dashed, or dotted (default: solid).
Mid Trend Line Settings
Length: Number of bars for mid-term pivot points (default: 21).
Show/Hide: Toggle visibility of mid trend lines (default: enabled).
Bullish Color: Color for bullish mid trend lines (default: lime).
Bearish Color: Color for bearish mid trend lines (default: maroon).
Style: Line style (default: dashed).
Short Trend Line Settings
Length: Number of bars for short-term pivot points (default: 9).
Show/Hide: Toggle visibility of short trend lines (default: enabled).
Bullish Color: Color for bullish short trend lines (default: teal).
Bearish Color: Color for bearish short trend lines (default: purple).
Style: Line style (default: dotted).
General Display Settings
Break Check Price: Selects the price type for breakout detection (Close, High, or Low; default: Close).
Show Previous Trendlines: Option to display historical main trend lines (default: disabled).
Label Size: Size of breakout labels (Tiny, Small, Normal, Large, Huge; default: Small).
Filter Settings
ADX Threshold: Minimum ADX value for trend strength confirmation (default: 25).
Volume MA Period: Period for the volume moving average (default: 20).
RSI Filter: Enable/disable RSI filtering (default: enabled).
RSI Upper Threshold: Upper RSI limit for overbought conditions (default: 65).
RSI Lower Threshold: Lower RSI limit for oversold conditions (default: 35).
4. Technical Calculations
The indicator relies on several technical calculations to ensure accuracy:
Pivot Points: Pivot highs and lows are detected using the ta.pivothigh and ta.pivotlow functions, with separate lengths for Main, Mid, and Short trend lines.
Slope Calculation: The slope of each trend line is calculated as the change in price divided by the change in bar index between two pivot points.
ADX Calculation: ADX is computed using a 14-period Directional Movement Index (DMI), with smoothing over 14 bars.
RSI Calculation: RSI is calculated over a 14-period lookback using the ta.rsi function.
Volume Moving Average: A simple moving average (SMA) of volume is used to determine if current volume exceeds the average.
5. Strict Mode Validation
To ensure the reliability of trend lines, the indicator employs a strict mode check:
For bearish trend lines, all prices between pivot points must remain below the projected trend line.
For bullish trend lines, all prices must remain above the projected trend line.
Post-pivot break checks ensure that no breakouts occur between pivot points, enhancing the validity of the trend line.
6. Trend Line Extension
Trend lines are dynamically extended forward until a breakout occurs. The extension logic:
Projects the trend line using the calculated slope.
Continuously validates the extension using strict mode checks.
Stops extension upon a breakout, fixing the trend line at the breakout point.
7. Alerts and Labels
Labels: Breakout labels are placed above (for bearish breakouts) or below (for bullish breakouts) the price bar. Labels include:
A prefix indicating the trend line type (B for Main, M for Mid, S for Short).
A suffix showing satisfied filters (e.g., for Volume, ADX, and RSI).
Alerts: Each breakout triggers a one-time alert per bar close, with a descriptive message indicating the trend line type and filters met.
Detailed Code Breakdown
1. Initialization and Inputs
The script begins by defining the indicator with indicator('Smart Trend Lines ', overlay = true), ensuring it overlays on the price chart. Input settings are grouped into categories (Main, Mid, Short, General Display, Filters) for user convenience. Each input includes a tooltip in both English and Arabic, enhancing accessibility.
2. Technical Indicator Calculations
Volume MA: Calculated using ta.sma(volume, volPeriod) to compare current volume against the average.
ADX: Computed using custom dirmov and adx functions, which calculate the Directional Movement Index and smooth it over 14 periods.
RSI: Calculated with ta.rsi(close, rsiPeriod) over 14 periods.
Price Selection: The priceToCheck function selects the price type (Close, High, or Low) for breakout detection.
3. Pivot Detection
Pivot points are detected using ta.pivothigh and ta.pivotlow for each trend line type. The lookback period is set to the respective trend line length (e.g., 50 for Main, 21 for Mid, 9 for Short).
4. Trend Line Logic
For each trend line type (Main, Mid, Short):
Bearish Trend Lines: Identified when two consecutive pivot highs form a downward slope. The script validates the trend line using strict mode and post-pivot break checks.
Bullish Trend Lines: Identified when two consecutive pivot lows form an upward slope, with similar validation.
Trend lines are drawn using line.new, with separate lines for the initial segment (between pivots) and the extended segment (from the second pivot forward).
5. Breakout Detection and Labeling
Breakouts are detected when the selected price crosses the trend line level. The script checks:
Volume conditions (above average and aligned with candle direction).
ADX condition (above threshold).
RSI condition (within thresholds if enabled). Labels are created with label.new, and alerts are triggered with alert.
6. Trend Line Extension
The extendTrendline function dynamically updates the trend line’s endpoint unless a breakout occurs. It uses strict mode checks to ensure the trend line remains valid.
7. Previous Trend Lines
If enabled, previous main trend lines are stored in arrays (previousBearishStartLines, previousBullishTrendLines, etc.) and displayed on the chart, providing historical context.
Disclaimer:
The information and publications are not intended to be, nor do they constitute, financial, investment, trading, or other types of advice or recommendations provided or endorsed by TradingView.
ADX Forecast [Titans_Invest]ADX Forecast
This isn’t just another ADX indicator — it’s the most powerful and complete ADX tool ever created, and without question the best ADX indicator on TradingView, possibly even the best in the world.
ADX Forecast represents a revolutionary leap in trend strength analysis, blending the timeless principles of the classic ADX with cutting-edge predictive modeling. For the first time on TradingView, you can anticipate future ADX movements using scientifically validated linear regression — a true game-changer for traders looking to stay ahead of trend shifts.
1. Real-Time ADX Forecasting
By applying least squares linear regression, ADX Forecast projects the future trajectory of the ADX with exceptional accuracy. This forecasting power enables traders to anticipate changes in trend strength before they fully unfold — a vital edge in fast-moving markets.
2. Unmatched Customization & Precision
With 26 long entry conditions and 26 short entry conditions, this indicator accounts for every possible ADX scenario. Every parameter is fully customizable, making it adaptable to any trading strategy — from scalping to swing trading to long-term investing.
3. Transparency & Advanced Visualization
Visualize internal ADX dynamics in real time with interactive tags, smart flags, and fully adjustable threshold levels. Every signal is transparent, logic-based, and engineered to fit seamlessly into professional-grade trading systems.
4. Scientific Foundation, Elite Execution
Grounded in statistical precision and machine learning principles, ADX Forecast upgrades the classic ADX from a reactive lagging tool into a forward-looking trend prediction engine. This isn’t just an indicator — it’s a scientific evolution in trend analysis.
⯁ SCIENTIFIC BASIS LINEAR REGRESSION
Linear Regression is a fundamental method of statistics and machine learning, used to model the relationship between a dependent variable y and one or more independent variables 𝑥.
The general formula for a simple linear regression is given by:
y = β₀ + β₁x + ε
β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²)
β₀ = ȳ - β₁x̄
Where:
y = is the predicted variable (e.g. future value of RSI)
x = is the explanatory variable (e.g. time or bar index)
β0 = is the intercept (value of 𝑦 when 𝑥 = 0)
𝛽1 = is the slope of the line (rate of change)
ε = is the random error term
The goal is to estimate the coefficients 𝛽0 and 𝛽1 so as to minimize the sum of the squared errors — the so-called Random Error Method Least Squares.
⯁ LEAST SQUARES ESTIMATION
To minimize the error between predicted and observed values, we use the following formulas:
β₁ = /
β₀ = ȳ - β₁x̄
Where:
∑ = sum
x̄ = mean of x
ȳ = mean of y
x_i, y_i = individual values of the variables.
Where:
x_i and y_i are the means of the independent and dependent variables, respectively.
i ranges from 1 to n, the number of observations.
These equations guarantee the best linear unbiased estimator, according to the Gauss-Markov theorem, assuming homoscedasticity and linearity.
⯁ LINEAR REGRESSION IN MACHINE LEARNING
Linear regression is one of the cornerstones of supervised learning. Its simplicity and ability to generate accurate quantitative predictions make it essential in AI systems, predictive algorithms, time series analysis, and automated trading strategies.
By applying this model to the ADX, you are literally putting artificial intelligence at the heart of a classic indicator, bringing a new dimension to technical analysis.
⯁ VISUAL INTERPRETATION
Imagine an ADX time series like this:
Time →
ADX →
The regression line will smooth these values and extend them n periods into the future, creating a predicted trajectory based on the historical moment. This line becomes the predicted ADX, which can be crossed with the actual ADX to generate more intelligent signals.
⯁ SUMMARY OF SCIENTIFIC CONCEPTS USED
Linear Regression Models the relationship between variables using a straight line.
Least Squares Minimizes the sum of squared errors between prediction and reality.
Time Series Forecasting Estimates future values based on historical data.
Supervised Learning Trains models to predict outputs from known inputs.
Statistical Smoothing Reduces noise and reveals underlying trends.
⯁ WHY THIS INDICATOR IS REVOLUTIONARY
Scientifically-based: Based on statistical theory and mathematical inference.
Unprecedented: First public ADX with least squares predictive modeling.
Intelligent: Built with machine learning logic.
Practical: Generates forward-thinking signals.
Customizable: Flexible for any trading strategy.
⯁ CONCLUSION
By combining ADX with linear regression, this indicator allows a trader to predict market momentum, not just follow it.
ADX Forecast is not just an indicator — it is a scientific breakthrough in technical analysis technology.
⯁ Example of simple linear regression, which has one independent variable:
⯁ In linear regression, observations ( red ) are considered to be the result of random deviations ( green ) from an underlying relationship ( blue ) between a dependent variable ( y ) and an independent variable ( x ).
⯁ Visualizing heteroscedasticity in a scatterplot against 100 random fitted values using Matlab:
⯁ The data sets in the Anscombe's quartet are designed to have approximately the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but are graphically very different. This illustrates the pitfalls of relying solely on a fitted model to understand the relationship between variables.
⯁ The result of fitting a set of data points with a quadratic function:
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🥇 This is the world’s first ADX indicator with: Linear Regression for Forecasting 🥇_______________________________________________________________________
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🔮 Linear Regression: PineScript Technical Parameters 🔮
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Forecast Types:
• Flat: Assumes prices will remain the same.
• Linreg: Makes a 'Linear Regression' forecast for n periods.
Technical Information:
ta.linreg (built-in function)
Linear regression curve. A line that best fits the specified prices over a user-defined time period. It is calculated using the least squares method. The result of this function is calculated using the formula: linreg = intercept + slope * (length - 1 - offset), where intercept and slope are the values calculated using the least squares method on the source series.
Syntax:
• Function: ta.linreg()
Parameters:
• source: Source price series.
• length: Number of bars (period).
• offset: Offset.
• return: Linear regression curve.
This function has been cleverly applied to the RSI, making it capable of projecting future values based on past statistical trends.
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⯁ WHAT IS THE ADX❓
The Average Directional Index (ADX) is a technical analysis indicator developed by J. Welles Wilder. It measures the strength of a trend in a market, regardless of whether the trend is up or down.
The ADX is an integral part of the Directional Movement System, which also includes the Plus Directional Indicator (+DI) and the Minus Directional Indicator (-DI). By combining these components, the ADX provides a comprehensive view of market trend strength.
⯁ HOW TO USE THE ADX❓
The ADX is calculated based on the moving average of the price range expansion over a specified period (usually 14 periods). It is plotted on a scale from 0 to 100 and has three main zones:
• Strong Trend: When the ADX is above 25, indicating a strong trend.
• Weak Trend: When the ADX is below 20, indicating a weak or non-existent trend.
• Neutral Zone: Between 20 and 25, where the trend strength is unclear.
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⯁ ENTRY CONDITIONS
The conditions below are fully flexible and allow for complete customization of the signal.
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🔹 CONDITIONS TO BUY 📈
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔹 +DI > -DI
🔹 +DI < -DI
🔹 +DI > ADX
🔹 +DI < ADX
🔹 -DI > ADX
🔹 -DI < ADX
🔹 ADX > Threshold
🔹 ADX < Threshold
🔹 +DI > Threshold
🔹 +DI < Threshold
🔹 -DI > Threshold
🔹 -DI < Threshold
🔹 +DI (Crossover) -DI
🔹 +DI (Crossunder) -DI
🔹 +DI (Crossover) ADX
🔹 +DI (Crossunder) ADX
🔹 +DI (Crossover) Threshold
🔹 +DI (Crossunder) Threshold
🔹 -DI (Crossover) ADX
🔹 -DI (Crossunder) ADX
🔹 -DI (Crossover) Threshold
🔹 -DI (Crossunder) Threshold
🔮 +DI (Crossover) -DI Forecast
🔮 +DI (Crossunder) -DI Forecast
🔮 ADX (Crossover) +DI Forecast
🔮 ADX (Crossunder) +DI Forecast
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🔸 CONDITIONS TO SELL 📉
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• Signal Validity: The signal will remain valid for X bars .
• Signal Sequence: Configurable as AND or OR .
🔸 +DI > -DI
🔸 +DI < -DI
🔸 +DI > ADX
🔸 +DI < ADX
🔸 -DI > ADX
🔸 -DI < ADX
🔸 ADX > Threshold
🔸 ADX < Threshold
🔸 +DI > Threshold
🔸 +DI < Threshold
🔸 -DI > Threshold
🔸 -DI < Threshold
🔸 +DI (Crossover) -DI
🔸 +DI (Crossunder) -DI
🔸 +DI (Crossover) ADX
🔸 +DI (Crossunder) ADX
🔸 +DI (Crossover) Threshold
🔸 +DI (Crossunder) Threshold
🔸 -DI (Crossover) ADX
🔸 -DI (Crossunder) ADX
🔸 -DI (Crossover) Threshold
🔸 -DI (Crossunder) Threshold
🔮 +DI (Crossover) -DI Forecast
🔮 +DI (Crossunder) -DI Forecast
🔮 ADX (Crossover) +DI Forecast
🔮 ADX (Crossunder) +DI Forecast
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🤖 AUTOMATION 🤖
• You can automate the BUY and SELL signals of this indicator.
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⯁ UNIQUE FEATURES
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Linear Regression: (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Condition Table: BUY/SELL
Condition Labels: BUY/SELL
Plot Labels in the Graph Above: BUY/SELL
Automate and Monitor Signals/Alerts: BUY/SELL
Linear Regression (Forecast)
Signal Validity: The signal will remain valid for X bars
Signal Sequence: Configurable as AND/OR
Table of Conditions: BUY/SELL
Conditions Label: BUY/SELL
Plot Labels in the graph above: BUY/SELL
Automate & Monitor Signals/Alerts: BUY/SELL
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📜 SCRIPT : ADX Forecast
🎴 Art by : @Titans_Invest & @DiFlip
👨💻 Dev by : @Titans_Invest & @DiFlip
🎑 Titans Invest — The Wizards Without Gloves 🧤
✨ Enjoy!
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o Mission 🗺
• Inspire Traders to manifest Magic in the Market.
o Vision 𐓏
• To elevate collective Energy 𐓷𐓏
Dynamic Liquidity Depth [BigBeluga]
Dynamic Liquidity Depth
A liquidity mapping engine that reveals hidden zones of market vulnerability. This tool simulates where potential large concentrations of stop-losses may exist — above recent highs (sell-side) and below recent lows (buy-side) — by analyzing real price behavior and directional volume. The result is a dynamic two-sided volume profile that highlights where price is most likely to gravitate during liquidation events, reversals, or engineered stop hunts.
🔵 KEY FEATURES
Two-Sided Liquidity Profiles:
Plots two separate profiles on the chart — one above price for potential sell-side liquidity , and one below price for potential buy-side liquidity . Each profile reflects the volume distribution across binned zones derived from historical highs and lows.
Real Stop Zone Simulation:
Each profile is offset from the current high or low using an ATR-based buffer. This simulates where traders might cluster their stop-losses above swing highs (short stops) or below swing lows (long stops).
Directional Volume Analysis:
Buy-side volume is accumulated only from bullish candles (close > open), while sell-side volume is accumulated only from bearish candles (close < open). This directional filtering enhances accuracy by capturing genuine pressure zones.
Dynamic Volume Heatmap:
Each liquidity bin is rendered as a horizontal box with a color gradient based on volume intensity:
- Low activity bins are shaded lightly.
- High-volume zones appear more vividly in red (sell) or lime (buy).
- The maximum volume bin in each profile is emphasized with a brighter fill and a volume label.
Extended POC Zones:
The Point of Control (PoC) — the bin with the most volume — is extended backwards across the entire lookback period to mark critical resistance (sell-side) or support (buy-side) levels.
Total Volume Summary Labels:
At the center of each profile, a summary label displays Total Buy Liquidity and Total Sell Liquidity volume.
This metric helps assess directional imbalance — when buy liquidity is dominant, the market may favor upward continuation, and vice versa.
Customizable Profile Granularity:
You can fine-tune both Resolution (Bins) and Offset Distance to adjust how far profiles are displaced from price and how many levels are calculated within the ATR range.
🔵 HOW IT WORKS
The indicator calculates an ATR-based buffer above highs and below lows to define the top and bottom of the liquidity zones.
Using a user-defined lookback period, it scans historical candles and divides the buffered zones into bins.
Each bin checks if bullish (or bearish) candles pass through it based on price wicks and body.
Volume from valid candles is summed into the corresponding bin.
When volume exists in a bin, a horizontal box is drawn with a width scaled by relative volume strength.
The bin with the highest volume is highlighted and optionally extended backward as a zone of importance.
Total buy/sell liquidity is displayed with a summary label at the side of the profile.
🔵 USAGE/b]
Identify Stop Hunt Zones: High-volume clusters near swing highs/lows are likely liquidation zones targeted during fakeouts.
Fade or Follow Reactions: Price hitting a high-volume bin may reverse (fade opportunity) or break with strength (confirmation breakout).
Layer with Other Tools: Combine with market structure, order blocks, or trend filters to validate entries near liquidity.
Adjust Offset for Sensitivity: Use higher offset to simulate wider stop placement; use lower for tighter scalping zones.
🔵 CONCLUSION
Dynamic Liquidity Depth transforms raw price and volume into a spatial map of liquidity. By revealing areas where stop orders are likely hidden, it gives traders insight into price manipulation zones, potential reversal levels, and breakout traps. Whether you're hunting for traps or trading with the flow, this tool equips you to navigate liquidity with precision.
EMA Cross w/ RSI & Volume Spike (Full Setup)📈 EMA Cross w/ RSI & Volume Spike (Full Setup)
This custom indicator is designed for traders seeking precise buy/sell signals based on a powerful combination of Exponential Moving Averages (EMAs), RSI, and Volume Spikes. It is optimized for both spot and futures trading, especially effective on lower timeframes (like 5m–15m) and swing trading charts.
🔧 Key Features
✅ EMA Stack – Includes 6 EMAs:
Short-Term: EMA 9, 21
Mid-Term: EMA 26, 50
Long-Term: EMA 100, 200
✅ Cross Alerts –
BUY signals: When faster EMAs cross above slower EMAs
SELL signals: When faster EMAs cross below slower EMAs
Covers short-, mid-, and long-term crossovers
✅ Confluence Signals –
BUY+ / SELL+ signals trigger only when an EMA cross is confirmed by:
• RSI (Relative Strength Index) confirmation
• Volume spike above 1.5× 20-period volume average
✅ Visual Markers on Chart –
📗 BUY – Basic EMA cross up
📘 BUY+ – EMA cross + RSI > 50 + volume spike
📕 SELL – Basic EMA cross down
🟧 SELL+ – EMA cross + RSI < 50 + volume spike
✅ Built-in Alerts –
All signal types (BUY, SELL, BUY+, SELL+) can be used with TradingView alerts.
🧠 Best Use Case
This indicator is perfect for:
Scalping (5m / 15m charts)
Spot trading pullbacks
Futures momentum breakouts
Identifying early trend shifts or confirmations
Time-Based Fair Value Gaps (FVG) with Inversions (iFVG)Overview
The Time-Based Fair Value Gaps (FVG) with Inversions (iFVG) (ICT/SMT) indicator is a specialized tool designed for traders using Inner Circle Trader (ICT) methodologies. Inspired by LuxAlgo's Fair Value Gap indicator, this script introduces significant enhancements by integrating ICT principles, focusing on precise time-based FVG detection, inversion tracking, and retest signals tailored for institutional trading strategies. Unlike LuxAlgo’s general FVG approach, this indicator filters FVGs within customizable 10-minute windows aligned with ICT’s macro timeframes and incorporates ICT-specific concepts like mitigation, liquidity grabs, and session-based gap prioritization.
This tool is optimized for 1–5 minute charts, though probably best for 1 minute charts, identifying bullish and bearish FVGs, tracking their mitigation into inverted FVGs (iFVGs) as key support/resistance zones, and generating retest signals with customizable “Close” or “Wick” confirmation. Features like ATR-based filtering, optional FVG labels, mitigation removal, and session-specific FVG detection (e.g., first FVG in AM/PM sessions) make it a powerful tool for ICT traders.
Originality and Improvements
While inspired by LuxAlgo’s FVG indicator (credit to LuxAlgo for their foundational work), this script significantly extends the original concept by:
1. Time-Based FVG Detection: Unlike LuxAlgo’s continuous FVG identification, this script filters FVGs within user-defined 10-minute windows each hour (:00–:10, :10–:20, etc.), aligning with ICT’s emphasis on specific periods of institutional activity, such as hourly opens/closes or kill zones (e.g., New York 7:00–11:00 AM EST). This ensures FVGs are relevant to high-probability ICT setups.
2. Session-Specific First FVG Option: A unique feature allows traders to display only the first FVG in ICT-defined AM (9:30–10:00 AM EST) or PM (1:30–2:00 PM EST) sessions, reflecting ICT’s focus on initial market imbalances during key liquidity events.
3. ICT-Driven Mitigation and Inversion Logic: The script tracks FVG mitigation (when price closes through a gap) and converts mitigated FVGs into iFVGs, which serve as ICT-style support/resistance zones. This aligns with ICT’s view that mitigated gaps become critical reversal points, unlike LuxAlgo’s simpler gap display.
4. Customizable Retest Signals: Retest signals for iFVGs are configurable for “Close” (conservative, requiring candle body confirmation) or “Wick” (faster, using highs/lows), catering to ICT traders’ need for precise entry timing during liquidity grabs or Judas swings.
5. ATR Filtering and Mitigation Removal: An optional ATR filter ensures only significant FVGs are displayed, reducing noise, while mitigation removal declutters the chart by removing filled gaps, aligning with ICT’s principle that mitigated gaps lose relevance unless inverted.
6. Timezone and Timeframe Safeguards: A timezone offset setting aligns FVG detection with EST for ICT’s New York-centric strategies, and a timeframe warning alerts users to avoid ≥1-hour charts, ensuring accuracy in time-based filtering.
These enhancements make the script a distinct tool that builds on LuxAlgo’s foundation while offering ICT traders a tailored, high-precision solution.
How It Works
FVG Detection
FVGs are identified when a candle’s low is higher than the high of two candles prior (bullish FVG) or a candle’s high is lower than the low of two candles prior (bearish FVG). Detection is restricted to:
• User-selected 10-minute windows (e.g., :00–:10, :50–:60) to capture ICT-relevant periods like hourly transitions.
• AM/PM session first FVGs (if enabled), focusing on 9:30–10:00 AM or 1:30–2:00 PM EST for key market opens.
An optional ATR filter (default: 0.25× ATR) ensures only gaps larger than the threshold are displayed, prioritizing significant imbalances.
Mitigation and Inversion
When price closes through an FVG (e.g., below a bullish FVG’s bottom), the FVG is mitigated and becomes an iFVG, plotted as a support/resistance zone. iFVGs are critical in ICT for identifying reversal points where institutional orders accumulate.
Retest Signals
The script generates signals when price retests an iFVG:
• Close: Triggers when the candle body confirms the retest (conservative, lower noise).
• Wick: Triggers when the candle’s high/low touches the iFVG (faster, higher sensitivity). Signals are visualized with triangular markers (▲ for bullish, ▼ for bearish) and can trigger alerts.
Visualization
• FVGs: Displayed as colored boxes (green for bullish, red for bearish) with optional “Bull FVG”/“Bear FVG” labels.
• iFVGs: Shown as extended boxes with dashed midlines, limited to the user-defined number of recent zones (default: 5).
• Mitigation Removal: Mitigated FVGs/iFVGs are removed (if enabled) to keep the chart clean.
How to Use
Recommended Settings
• Timeframe: Use 1–5 minute charts for precision, avoiding ≥1-hour timeframes (a warning label appears if misconfigured).
• Time Windows: Enable :00–:10 and :50–:60 for hourly open/close FVGs, or use the “Show only 1st presented FVG” option for AM/PM session focus.
• ATR Filter: Keep enabled (multiplier 0.25–0.5) for significant gaps; disable on 1-minute charts for more FVGs during volatility.
• Signal Preference: Use “Close” for conservative entries, “Wick” for aggressive setups.
• Timezone Offset: Set to -5 for EST (or -4 for EDT) to align with ICT’s New York session.
Trading Strategy
1. Macro Timeframes: Focus on New York (7:00–11:00 AM EST) or London (2:00–5:00 AM EST) kill zones for high institutional activity.
2. FVG Entries: Trade bullish FVGs as support in uptrends or bearish FVGs as resistance in downtrends, especially in :00–:10 or :50–:60 windows.
3. iFVG Retests: Enter on retest signals (▲/▼) during liquidity grabs or Judas swings, using “Close” for confirmation or “Wick” for speed.
4. Session FVGs: Use the “Show only 1st presented FVG” option to target the first gap in AM/PM sessions, often tied to ICT’s market maker algorithms.
5. Risk Management: Combine with ICT concepts like order blocks or breaker blocks for confluence, and set stops beyond FVG/iFVG boundaries.
Alerts
Set alerts for:
• “Bullish FVG Detected”/“Bearish FVG Detected”: New FVGs in selected windows.
• “Bullish Signal”/“Bearish Signal”: iFVG retest confirmations.
Settings Description
• Show Last (1–100, default: 5): Number of recent iFVGs to display. Lower values reduce clutter.
• Show only 1st presented FVG : Limits FVGs to the first in 9:30–10:00 AM or 1:30–2:00 PM EST sessions (overrides time window checkboxes).
• Time Window Checkboxes: Enable/disable FVG detection in 10-minute windows (:00–:10, :10–:20, etc.). All enabled by default.
• Signal Preference: “Close” (default) or “Wick” for iFVG retest signals.
• Use ATR Filter: Enables ATR-based size filtering (default: true).
• ATR Multiplier (0–∞, default: 0.25): Sets FVG size threshold (higher values = larger gaps).
• Remove Mitigated FVGs: Removes filled FVGs/iFVGs (default: true).
• Show FVG Labels: Displays “Bull FVG”/“Bear FVG” labels (default: true).
• Timezone Offset (-12 to 12, default: -5): Aligns time windows with EST.
• Colors: Customize bullish (green), bearish (red), and midline (gray) colors.
Why Use This Indicator?
This indicator empowers ICT traders with a tool that goes beyond generic FVG detection, offering precise, time-filtered gaps and inversion tracking aligned with institutional trading principles. By focusing on ICT’s macro timeframes, session-specific imbalances, and customizable signal logic, it provides a clear edge for scalping, swing trading, or reversal setups in high-liquidity markets.
CANDLE SCRUTINY | GSK-VIZAG-AP-INDIAIndicator: CANDLE SCRUTINY | GSK-VIZAG-AP-INDIA
1. Overview
The CANDLE SCRUTINY indicator is a candle-by-candle analytical tool designed to dissect and visually represent the behavior of recent candles on a chart. It presents a concise table overlay that summarizes critical candlestick data including price movement, directional trend, volume dynamics, and strength of price sequences — all updated in real time.
2. Purpose / Trading Use Case
This tool is ideal for:
Scalpers and intraday traders needing quick real-time candle insights.
Trend analyzers who want to observe evolving price momentum.
Volume-based decision makers monitoring buyer-seller imbalance.
Traders who scrutinize candles for confirmations before entries or exits.
3. Key Features & Logic Breakdown
Candle Classification: Each candle is categorized as Bullish, Bearish, or Doji based on open-close comparison.
Move Calculation: Calculates and displays net candle move (Close - Open) for each bar.
Trend Count: Tracks the number of consecutive candles of the same type (bullish or bearish).
Sequential Move (Total SM): Aggregates move values when candles of the same type form a sequence.
Volume Breakdown: Approximates buy/sell volume ratio using candle type logic.
Delta Volume: Measures buy-sell imbalance to gauge intrabar strength.
Time Localization: Candle timestamps are shown in the user-selected timezone.
4. User Inputs / Settings
Number of Candles (numCandles): Choose how many recent candles to analyze (1–10).
Table Position (tablePos): Set to top_right by default.
Timezone Selector (tzOption): Choose from multiple global timezones (e.g., IST, UTC, NY, London) to view local candle times.
These settings let traders customize the scope and perspective of candle analysis to fit their trading region and strategy focus.
5. Visual & Plotting Elements
A floating data table appears on the chart (top-right by default), showing:
Time of candle (localized)
Type (Bullish/Bearish/Doji)
Move value with green/red background
Total SM (sequential movement) with trend-based color shading
Trend Count
Buy Volume, Sell Volume, Total Volume
Delta (volume imbalance) with color-coded strength indicator
Color coding makes it visually intuitive to quickly assess strength, direction, and sequence.
6. Effective Usage Tips
Use in 1-minute to 15-minute timeframes for scalping or momentum breakout confirmation.
Monitor Delta and Sequential Move (SM) to confirm strength behind price action.
Trend Count helps gauge sustained direction—useful for short-term trend continuation strategies.
Combine with support/resistance zones or volume profile for stronger confluence.
Great for detecting early signs of exhaustion or continuation.
7. What Makes It Unique
Combines price action + volume behavior + trend memory into one compact visual table.
Allows user-defined timezone adjustment, a rare feature in similar indicators.
Designed to give a story of the last N candles from a momentum and participation viewpoint.
Fully non-intrusive overlay—doesn't clutter chart space.
8. Alerts / Additional Features
Currently no alerts, but future versions may include:
Alert when trend count exceeds a threshold
Alert on strong delta volume shifts
Alert on back-to-back Dojis (sign of indecision)
9. Technical Concepts Used
Candlestick Logic: Bullish, Bearish, Doji classification
Volume Analysis: Approximate buy/sell split based on candle type
Color Coding: For intuitive interpretation of move, trend, and delta
Arrays & Looping Logic: Efficient tracking of trends and sequences
Timezone Handling: Uses hour(time, timezone) and minute(time, timezone) for local display
10. Disclaimer
This script is provided for educational and informational purposes only. It does not constitute financial advice. Always backtest thoroughly and use appropriate risk management when applying this or any indicator in live markets. The author is not responsible for any financial losses incurred.
AL Brooks - Price Action Multi-Signal Suite📘 Price Action Multi-Signal Suite📘
This indicator is a complete visual toolset for traders who use price action principles inspired by Al Brooks-style analysis.
It combines multiple nuanced signals — like first/second entries, breakout failures, trend bias, higher-timeframe context, and dynamic trend channels — into one elegant, customizable interface.
It is built with clarity, flexibility, and actionable precision in mind.
🧠 Core Concepts Behind the Tool
1. Trend Bias with EMA (20 by default)
The indicator calculates a standard EMA (default: 20) to establish trend direction bias.
When price is above EMA, we consider the market to be in a bull trend, and vice versa.
The EMA line changes color dynamically — green (bull), red (bear), gray (neutral).
🟢 Example:
If price is forming higher highs and staying above EMA with strong bull bars, the bias is bullish. In this phase, you're looking for High 1 and High 2 (H1/H2) setups.
2. First and Second Entries (H1/H2 and L1/L2)
High 1 (H1): First pullback in a bull trend after a minor new high.
High 2 (H2): A second attempt to push up after a failed H1.
Low 1 (L1) and Low 2 (L2): Mirror the above logic for bear trends.
📈 Example Trade – H2 Long:
Price breaks out above EMA.
Pulls back and forms an H1, but it fails to break out.
Second push (H2) forms a higher low, then closes strong above previous bar → BUY entry.
📉 Example Trade – L2 Short:
Market is below EMA.
A rally creates L1, fails.
L2 forms and closes below the previous bar low with a bear body → SELL entry.
3. Second Entry Logic (Simplified Swing Count)
This adds context to H2/L2 by ensuring at least two swings occurred in the same direction.
Reduces false signals in choppy markets.
Painted as colored circles (aqua = long, fuchsia = short).
4. Breakout Failure Detection
Detects false breakouts using 10-bar highs/lows:
Failed High Breakout: Price breaks a 10-bar high but closes back inside → potential reversal short.
Failed Low Breakout: Price breaks a 10-bar low but closes back inside → potential long.
🚨 Example:
Price breaks above a recent high but closes below it with a strong bear bar → look for reversal or fade setups.
5. Inside / Outside Bars
Helps recognize compression (inside bars) or volatility expansions (outside bars).
Inside bars often precede breakouts.
Outside bars may signal traps or indecision.
Use these in combination with entry logic. An H2 after an inside bar can signal a strong, clean breakout.
6. Higher Timeframe (HTF) Context
Pulls EMA and trend bias from a higher timeframe (default: 1hr).
Background color indicates HTF bias (adjustable opacity).
Green = HTF uptrend.
Red = HTF downtrend.
🧭 Usage: Trade in the direction of the HTF bias when possible. An H2 with HTF bias bullish adds confluence.
7. Trend Channels (Automatic, Visual)
Dynamically draws trend channel lines based on pivot highs/lows.
These act as support/resistance, visual guides for traps or continuation.
Trendline breakouts or touches often align with H2/L2 setups.
📏 Example:
Price touches lower channel and forms a second entry long (L2) with a strong bull bar → high-quality reversal trade.
⚙️ Customization Options
Toggle each signal component (entries, bias, bars, failures, channels).
Adjust EMA length, HTF resolution, background opacity.
Keep your chart clean and focused on the signals that matter to you.
📊 Trade Example Summary
H2 with HTF Bullish
Trade Setup: Strong bull bar after a failed H1, above EMA
Expected Move: Trend continuation upward
L2 with Channel Hit
Trade Setup: Pullback hits lower trend channel, forms L2
Expected Move: Reversal or scalp down
Failed High Breakout
Trade Setup: Price breaks above a 10-bar high, but reverses and closes inside
Expected Move: Quick fade or reversal short
Inside Bar + H2
Trade Setup: Price compresses into an inside bar, followed by a breakout with H2
Expected Move: Momentum breakout trade
Outside Bar + L2
Trade Setup: Price breaks strongly in one direction (outside bar), second push fails upward, forms L2
Expected Move: Short on weakness
Please note, this is an educational idea and representation of whatever I understood of it.
Historical performances may not be replicable in present/future.
Trade at your own responsibility.
Regards! ^^
[Pandora's Chambers] Apex-Flux NavigatorThe " Apex Flux Navigator FC" indicator, whose name alludes to the unveiling of hidden market forces, offers a rich visual representation of market pressure by combining volume-based pivot analysis with RSI, including a dynamic Fibonacci grid, balanced pressure lines, and highlighted boxes for quick readability. The term "Chambers" in its name refers to the way the indicator frames the balance of power between buyers and sellers within the space defined by two consecutive pivot lines, essentially creating visual chambers that encapsulate this ongoing struggle. The grid is built according to the 25%, 38.2%, 50%, 61.8%, and 75% levels, marking key support and resistance points. Crucially, this indicator allows you to spot pinpoint momentum divergences against volume, offering insights into potential trend reversals or continuations. The indicator also calculates cumulative buy/sell percentages since the formation of each pivot, displays an average Buy/Sell ratio for each point, uses a smart algorithm that analyzes the length of movement against speed, and draws backgrounds that outline liquidity zones based on Fibonacci ratios of volume and overbought/oversold areas (boxes) to clearly and legibly highlight buyer/seller pressure zones. Furthermore, the rapid identification of pressure zones and momentum shifts can assist in recognizing opportunities for quick scalping trades. Additionally, the width and spacing of the pressure lines visually represent the current market volatility and the difference in liquidity between buyers and sellers.
General Description
The indicator enables automatic identification of pivot points (highs and lows) based on buy/sell activity and TradingView RSI.
It draws vertical lines connecting the full pivot high to the full pivot low, creating a standard Fibonacci grid, and adds balanced pressure lines on the price sides with F--/F+/(F++) annotations corresponding to the degree of TradingView pressure.
How it Works
Pivot Identification – Uses ta.pivothigh and ta.pivotlow with the Pivot Sensitivity parameter to determine highs and lows.
Volume and RSI Collection – The f_addPivot function stores buy/sell volume according to the day's fluctuations and initial RSI; in each bar, the cumulative volume and RSI are updated to calculate a dynamic average.
Creation of Lines and Pressure Points – Calculates pressure percentages based on volume and displays them through dotted/solid lines and labels, including dynamic colors and backgrounds (boxes) for visual illustration using the TradingView “Pressure Lines” technique.
How to Interpret the Output
Dotted lines indicate Liquidity zones where the dominant side's volume is particularly strong and may mark areas that the price is drawn to in order to achieve equilibrium.
Labels with text (“B: xx% | RSI yy%”) display the buy/sell percentage and the average RSI since the pivot's creation together.
F--/F+/F++ annotations reflect a pressure quality scale using the f_getAnnotation function based on pressure percentages.
How to Use
Select “Add to chart” to attach the indicator to the chart.
Through the indicator's settings, you can change Pivot Sensitivity, Fibonacci Grid Length, RSI Period, and more.
Inputs and Settings
Pivot Sensitivity (default: 3)
Extend Pressure Lines (default: off)
RSI Period (default: 14)
Fibonacci Grid Length, Color, Offset
Colors and line styles for the reporting mode
Tips and Recommendations
Use a timeframe that reflects appropriate volatility (e.g., H4/D) to reduce noise; the shorter the timeframe, the more fluid the information the indicator presents.
To improve identification accuracy, combine with moving averages or additional Fibonacci tools.
Avoid automated trading based on the indicator alone – always require confirmation from an additional indicator.
Trade Smart – Let the Apex Flux Navigator FC guide you to significant market pressure levels!
@InvInst AT - Probability Panel📌 @InvInst AT INDICATOR
📊 OVERVIEW
The AT Indicator uses ZGs to evaluate trends through probability-based calculations of bullish, sideways, or bearish outcomes. It works best with the ZG Indicator, which identifies Reversal Zones (ZG), trigger levels, and dynamic Fibonacci retracements across any timeframe and asset, offering an unbiased analysis. The accompanying chart demonstrates the AT Indicator as a below panel.
📊 VALUE OF THE INDICATOR…
No matter if you are a discretionary or a systematic trader, the result of this approach is game changer, since ensuring a single valid interpretation of asset trends, supported by key price and time points (ZG), (1) is crucial for robust analysis; (2) minimizes degrees of freedom for machine learning or AI algorithms applied to market data; (3) helps separate order from noise/chaos in a fully consistent and internally coherent manner.
For discretionary traders, having a single valid interpretation of a trend (1) minimizes emotional fatigue caused by constant reinterpretation and subjective data selection, (2) establishes a foundation for objective pattern recognition, and (3) provides a layer of information such as the real time probability that perfectly complements any other indicator or approach.
📊 FIRST THINGS FIRST: A BIT OF THEORY…
Definition of ZG
A ZG signifies a consolidation or inflection point where the previous trend might conclude. These formations are instrumental in the trend analysis of any asset, irrespective of the asset or timeframe. Formally, we define ZG_tf = (timestamp_zg, price_zg), indicating a ZG is represented as a pair consisting of its timestamp and price within a specified timeframe.
Types of ZGs
We categorize ZGs based on their directional implications:
✅ Bullish Reversal Zone (ZGA) – Regions where prices may rebound upward or consolidate following a downtrend.
✅ Bearish Reversal Zone (ZGB) – Regions where prices may reverse downward after an uptrend.
Furthermore, three distinct statuses are assigned to each ZG:
• Potential ZGs (ZGAPot and ZGBPot on the chart) – Zones anticipated to develop in the future, aiding in forecasting potential future trends.
• Current or Last Identified ZGs – The latest reversal zones detected for each timeframe.
• Confirmed ZGs – Validated zones that serve as static reference points delineating historical trends unequivocally.
📊 FUNCTIONALITY: WHAT IT DOES…
The AT Indicator provides detailed information on trend changes over time, potential future trends based on Potential ZGs, and a visual analysis of trend probabilities in two timeframes. The panel uses colors to represent trend directions: 🟢 green for bullish, 🔴 red for bearish, and 🔵 blue for sideways (color chosen based on feedback from visually impaired users).
The indicator structures the information as follows:
Upper half of the panel refers to the larger timeframe, and provides contextual information in terms of trend and trend probability, while the lower half of the panel corresponds to the chart’s timeframe (usually, the timeframe chosen by the user to trade).
The information for each timeframe is equally structured:
✅ It shows as a footprint the Current Trend for candle-by-candle, in what constitutes a clear and consistent map of the asset’s trip in terms of an objective and continuous trend.
✅ Additionally, it shows the potentially Future Trend using the information coming from Potential ZGs that could be identified next.
✅ The indicator also shows by default, candle-by-candle, the evolution of Net Probabilites —i.e., the difference between the probability of a Bullish trend and of a Bearish trend—. It usually helps the trader understand what the most likely direction is, and if the probability is gaining or losing momentum.
✅ Distribution of Trend Scenarios – The user can choose an alternative representation where the indicator shows in a visual way the probability assigned to either Bullish, Sideways and Bearish trend scenarios.
📊 KEY FEATURES: HOW IT DOES IT…
The AT Indicator is 100% original, devoid of public domain code, and operates independently of changeable parameters for individual assets. The calculation of the probability assigned to each scenario is based on the Euclidean distance of the price and the trigger levels that would alter the trend. Key features include:
🔹100% Objective Approach for the identification of ZGs based on mathematical equation systems.
🔹No Repainting – Use of available information at the time, avoiding reinterpretation of past data.
🔹Early Detection – Since it is a price action indicator, there is no delay in the identification of a change in the trend. The use of highs and lows, instead of ZGs have practical limitations and lagging effects that can also be avoided with ZGs.
🔹Dual Timeframe Analysis – Integrates smaller and larger timeframes for enhanced trend context.
🔹Based on Trend Definition – higher ZGBs and higher ZGAs for bullish trend, lower ZGBs and lower ZGAs for bearish, and all other cases classified as sideways trend.
📊 HOW TO USE IT…
The AT Indicator is 100% self-explanatory, its outcome is directly usable, as it provides an objective identification of the current and future asset’s trends, and the calculation of the probability as an unequivocal representation that any trader can understand right away . It only represents half of our comprehensive trend analysis, since our ZG Indicator complements and augments the AT Indicator's insights, providing historical ZGs as well as next Potential ZGs that could form in the future, and the trigger levels that would alter the trend. The combination of both indicators is recommended.
When the sign (color) of the Net Probabilities are the same in both timeframes, it is when the most directional deep moves take place. This can be used by any trader to determine the most likely direction of the next moves, as well as a simple yet efficient way to filter out non-directional moves.
📊 AVAILABLE SETTINGS
The AT Indicator offers a comprehensive settings window for full control of displayed information:
🔹 Number of ZGs for chart’s timeframe (optimizable for TradingView performance)
🔹 Larger Timeframe Selection (options vary per TradingView plan)
🔹 Number of ZGs for larger timeframes (optimizable for TradingView performance)
🔹 Enable/Disable Net Probablities (when disabled, the indicator shows the distribution of probabilities for each trend scenario)
📊 ADDITIONAL CONSIDERATIONS
As stated before, it only represents half of our comprehensive trend analysis, since our ZG Indicator complements and augments the AT Indicator's insights, providing historical ZGs as well as the next Potential ZGs that could form in the future, and the trigger levels that would alter the trend. The combination of both indicators is recommended.
Recommended timeframe combinations:
🔹 1-minute and 5-minutes - Suitable for scalpers
🔹 5-minutes and 15-minutes - Ideal for scalping and fine-tuning swing trades
🔹 1-hour and 4-hours - Beneficial for swing traders and long-term position adjustments
🔹 1-day and 1-week - Optimal for long-term investors
⚠️ Disclaimer: This indicator does not generate buy or sell signals. It is advised to use it alongside the AT Indicator and integrate it with additional technical analysis tools and risk management strategies.
@InvInst - ZG📌 ZG INDICATOR
📊 OVERVIEW
The ZG Indicator is a comprehensive tool for identifying Reversal Zones (ZG) across any timeframe and asset. Designed to support objective trend analysis, it does not depend on adjustable parameters for each asset and assists in discerning potential trend shifts and dynamic Fibonacci retracements without subjective user bias. It is most effective when used alongside the AT Indicator, which provides complementary insights by evaluating both current and future trends through probability-based calculations of bullish, sideways, or bearish outcomes. The accompanying chart demonstrates the ZG Indicator overlaid on price data.
📊 VALUE OF THE INDICATOR…
No matter if you are a discretionary or a systematic trader, the result of this approach is game changer, since ensuring a single valid interpretation of asset trends, supported by key price and time points (ZG), (1) is crucial for robust analysis; (2) minimizes degrees of freedom for machine learning or AI algorithms applied to market data; (3) helps separate order from noise/chaos in a fully consistent and internally coherent manner.
For discretionary traders, having a single valid interpretation of a trend (1) minimizes emotional fatigue caused by constant reinterpretation and subjective data selection, (2) establishes a foundation for objective pattern recognition, and (3) provides a layer of information such as the real time probability that perfectly complements any other indicator or approach.
📊 FIRST THINGS FIRST: A BIT OF THEORY…
Definition of ZG
A ZG signifies a consolidation or inflection point where the previous directional move might conclude. These formations are instrumental in the trend analysis of any asset, irrespective of the asset or timeframe. Formally, we define ZG_tf = (timestamp_zg, price_zg), indicating a ZG is represented as a pair consisting of its timestamp and price within a specified timeframe.
Types of ZGs
We categorize ZGs based on their directional implications:
✅ Bullish Reversal Zone (ZGA) – Regions where prices may rebound upward or consolidate following a downtrend.
✅ Bearish Reversal Zone (ZGB) – Regions where prices may reverse downward after an uptrend.
Furthermore, three distinct statuses are assigned to each ZG:
• Potential ZGs (ZGAPot and ZGBPot on the chart) – Zones anticipated to develop in the future, aiding in forecasting potential future trends.
• Current or Last Identified ZGs – The latest reversal zones detected for each timeframe.
• Confirmed ZGs – Validated zones that serve as static reference points delineating historical trends unequivocally.
📊 FUNCTIONALITY: WHAT IT DOES…
The ZG indicator is meant to be analyze objectively the trend of any asset. In order to do that, it needs to find the inflexion points in the time series that form the zig-zag shape of the trend. The ZG Indicator promptly identifies new ZGs without delay, illustrating both confirmed and identified ZGs, along with ranges for future Potential ZGs. Red labels indicate either confirmed or identified ZGBs, whereas green labels denote confirmed and identified ZGAs. The right side of the chart reveals the price ranges where future ZGs might materialize.
The indicator synthesizes data from two timeframes—the chart's timeframe and a larger one selected by the user—enabling a contextual comprehension of the asset's trend. Differentiated colors and labeling styles facilitate clear interpretation of the asset’s status.
Trigger levels altering the current trend…
Additionally, the ZG Indicator highlights trigger prices with dashed blue lines, signifying potential shifts in the trend for each selected timeframe in case they are passed.
Dynamic Fibonacci retracements utilized objectively and systematically…
The ZG Indicator leverages ZGAs and ZGBs to compute Fibonacci retracement areas (38.2%-61.8%) objectively for each timeframe, eliminating subjective selection of highs and lows typically seen in trading practices. Different colors help the user identify whether the Fibonacci retracements correspond to upward movements or downward movements.
Objective commentary interpreting the trend…
The trend analysis based on ZGs is entirely mathematical/objective, permitting only one valid interpretation. Users can enable comments, available in English or Spanish, detailing the current trend, trigger levels for trend changes, prospective ZG formation ranges, and the probability for each trend scenario of the last available candle.
📊 KEY FEATURES: HOW IT DOES IT…
The identification of either ZGA or ZGB -pivot points in a typically zig-zag shaped trend-, and future ZGAs and ZGBs relies on three foundational principles:
✅ Historical behavior... is examined to recognize price conditions that have usually met repeatedly in the past.
✅ Temporal dislocation... between trends of different magnitudes —such as short-term exhaustion within a still-intact longer-term trend— which often precedes a shift in market direction.
✅ Balance or imbalance between buying and selling pressure... when one side begins to weaken noticeably, it can signal an impending change in control, thereby increasing the likelihood of a reversal.
It uses the 4-ZG theorem, mathematically proven, in order to determine the trigger points that would unequivocally provoke a shift of the current trend into something different, as well as for the calculation of the probability attributable to each trend scenario —either bullish, sideways or bearish for each candle—, providing a real-time outcome as a readable comment that the user can leverage on to understand the strength of the trend.
The ZG Indicator is 100% original, as it uses our own proprietary algorithms protected by international intellectual property laws, devoid of public domain code. It operates independently of changeable parameters for individual assets. Key features include:
🔹100% Objective Approach for the identification of ZGs based on mathematical equation systems.
🔹No Repainting – Use of available information at the time, avoiding reinterpretation of past data.
🔹Early Detection – Since it is a price action indicator, there is no delay in the identification of new ZG. The use of highs and lows, instead of ZGs have practical limitations and lagging effects that can also be avoided with ZGs.
🔹Dual Timeframe Analysis – Integrates smaller and larger timeframes for enhanced trend context.
🔹Based on Trend Definition – higher ZGBs and higher ZGAs for bullish trend, lower ZGBs and lower ZGAs for bearish, and all other cases classified as sideways trend.
📊 HOW TO USE IT…
The user has only to read the comments provided for each timeframe to understand all the information provided by this indicator. The ZG Indicator is 100% self-explanatory, its outcome is directly usable, as it provides an objective interpretation as an unequivocal comment that any trader can understand and use right away. It is important to note that it only represents half of our comprehensive trend analysis, since our AT Indicator complements and augments the ZG Indicator's insights, providing the distribution of the probability assigned to bullish, sideways, and bearish trends over time, along with real-time assessments of current and future trends based on ZGs and potential ZGs. The combination of both indicators is recommended.
📊 AVAILABLE SETTINGS
The ZG Indicator offers a comprehensive settings window for full control of displayed information:
🔹 Number of ZGs for smaller timeframes (optimizable for TradingView performance)
🔹 Customizable colors for smaller timeframe ZG lines
🔹 Enable/Disable Fibonacci retracements for smaller timeframes
🔹 Larger Timeframe Selection (options vary per TradingView plan)
🔹 Number of ZGs for larger timeframes (optimizable for TradingView performance)
🔹 Customizable colors for larger timeframe ZG lines
🔹 Enable/Disable Fibonacci retracements for larger timeframes
🔹 Enable/Disable Lines Connecting ZGs
🔹 Activate/Deactivate Trigger Conditions for Trend Shifts (blue dashed lines indicating shift levels for each timeframe)
🔹 Show Trend Comment per Timeframe (only one correct interpretation due to 100% objective methodology)
🔹 Select Trend Comment Language (English or Spanish)
📊 ADDITIONAL CONSIDERATIONS
The ZG Indicator represents half of a comprehensive trend analysis. Our AT Indicator complements and augments the ZG Indicator's insights, providing the distribution of the probability assigned to bullish, sideways, and bearish trends, along with real-time assessments of current and future trends based on ZGs and potential ZGs. The combination of both indicators is recommended.
Recommended timeframe combinations:
🔹 1-minute and 5-minutes - Suitable for scalpers
🔹 5-minutes and 15-minutes - Ideal for scalping and fine-tuning swing trades
🔹 1-hour and 4-hours - Beneficial for swing traders and long-term position adjustments
🔹 1-day and 1-week - Optimal for long-term investors
⚠️ Disclaimer: This indicator does not generate buy or sell signals. It is advised to use it alongside the AT Indicator and integrate it with additional technical analysis tools and risk management strategies.
