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
Pesquisar nos scripts por "scalping"
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.
SMC Entry Signals MTF v2📘 User Guide for the SMC Entry Signals MTF v2 Indicator
🎯 Purpose of the Indicator
This indicator is designed to identify reversal entry points based on Smart Money Concepts (SMC) and candlestick confirmation. It’s especially useful for traders who use:
Imbalance zones, order blocks, breaker blocks
Liquidity grabs
Multi-timeframe confirmation (MTF)
📈 How to Use the Signals on the Chart
✅ LONG Signal (green triangle below the candle):
Conditions:
Price is in a discount zone (below the FIB 50% level)
A bullish engulfing candle appears
A bullish Order Block (OB) or Breaker Block is detected
There’s an upward imbalance
A bullish OB is confirmed on the higher timeframe
➡️ How to act:
Consider entering long on the current or next candle.
Place your stop-loss below the OB or the nearest swing low.
Take profit at the nearest liquidity zone or premium area (above FIB 50%).
🔻 SHORT Signal (red triangle above the candle):
Conditions:
Price is in a premium zone (above FIB 50%)
A bearish engulfing candle appears
A bearish OB or Breaker Block is detected
There’s a downward imbalance
A bearish OB is confirmed on the higher timeframe
➡️ How to act:
Consider short entry after the signal.
Place your stop-loss above the OB or swing high.
Target the discount zone or the next liquidity pocket.
⚙️ Recommended Settings by Trading Style
Trading Style Suggested Settings Notes
Intraday (1–15m) fibLookback = 20–50, obLookback = 5–10, htf_tf = 1H/4H Fast signals. Use Discount/Premium + Engulfing.
Swing/Position (1H–1D) fibLookback = 50–100, obLookback = 10–20, htf_tf = 1D/1W Higher trust in MTF confirmation. Ideal with fundamentals.
Scalping (1m) fibLookback = 10–20, obLookback = 3–5, htf_tf = 15m/1H Remove Breaker and MTF for quick reaction trades.
🧠 Best Practices for Traders
Trend Filtering:
Use EMAs or volume to confirm the current trend.
Take longs only in uptrends, shorts in downtrends.
Liquidity Zones:
Use this indicator after liquidity grabs.
OBs and Breakers often appear right after stop hunts.
Combine with Manual Zones:
This works best when paired with manually drawn OBs and key levels.
Backtest the Signals:
Use Bar Replay mode on TradingView to test past signals.
🧪 Example Trade Setup
Example on BTCUSDT 15m:
Price drops into the discount zone.
A green triangle appears (bullish engulfing + OB + imbalance + HTF OB).
You enter long, stop below the OB, target the premium zone.
🎯 This type of setup often gives a risk/reward ratio of 1:2 or better — profitable even with a 40% win rate.
⏰ Alerts & Automation
Enable alerts:
"SMC Long Entry" — fires when a long signal appears.
"SMC Short Entry" — fires when a short signal appears.
You can integrate this with bots via webhook, like:
TradingConnector, 3Commas, Alertatron, etc.
✅ What This Indicator Gives You
High-probability entries using SMC logic
Customizable filters for entry logic
Multi-timeframe confirmation for stronger setups
Suitable for both intraday and swing trading
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.
Nifty 0.09 Levels - Today OnlyNifty 0.09 Levels – Today Only
This indicator is designed for intraday traders on the NSE (National Stock Exchange of India), specifically for Nifty and BankNifty instruments. It identifies key price levels based on the candle that ends at 9:20 AM IST, which typically reflects the first 5 minutes of market structure after open.
What the Script Does
Detects the 9:15–9:20 AM candle (India market time).
Calculates a base level by adjusting the close of this candle by ±0.09%, creating an upper and lower bound.
Optionally plots three target levels (TG1, TG2, TG3) on both the upside and downside by applying further percentage extensions (±0.18% sequentially).
Displays these levels only for the current day, keeping your chart clean.
How It Works
The script runs on all timeframes and uses timestamp("Asia/Kolkata") to accurately isolate the target candle.
It conditionally draws horizontal lines using line.new() only if today's levels haven't already been drawn.
TG levels can be toggled on or off with a checkbox.
Levels extend visually for 60 bars (roughly one hour on a 1-minute chart) and reset daily.
Use Cases
Scalping or short-term breakout trades based on the early range.
Bias setting: Above the upper level indicates strength; below the lower suggests weakness.
Can be used in automated confluence setups or manual discretionary trades.
Why It's Unique
This tool is optimized for Indian market timing, and uses fixed percentage logic that's not commonly available in open-source range indicators. It cleanly isolates and visualizes actionable levels based on the early session candle without cluttering your chart with historical or irrelevant lines.
No external dependencies or additional scripts are required. Ideal for traders who value simplicity and precision early in the trading session.
Z-Score Trend Monitor [EdgeTerminal]The Z-Score Trend Monitor measures how far the short-term moving average deviates from the long-term moving average using the spread difference of the two — in standardized units. It’s designed to detect overextension, momentum exhaustion, and potential mean-reversion points by converting the spread between two moving averages into a normalized Z-score and tracking its change and direction over time.
The idea behind this is to catch the changes in the direction of a trend earlier than the usual and lagging moving average lines, allowing you to react faster.
The math behind the indicator itself is very simple. We take the simple moving average of the spread between a long term and short term moving average, and divide it by the difference between the spread and spread mean.
This results in a relatively accurate and early acting trend detector that can easily identify overbought and oversold levels in any timeframe. From our own testing, we recommend using this indicator as a trend confirmation tool.
How to Use It:
Keep an eye on the Z-Score or the blue line. When it goes over 2, it indicates an overbought or near top level, and when it goes below -2, it indicates an oversold or near bottom.
When Z-Score returns to zero or grey line, it suggests mean reversion is in progress.
You can also change the Z-Score criteria from 2 and -2 in the settings to any number you’d like for tighter or wider levels.
For scalping and fast trading setups, we recommend shorter SMAs, such as 5 and 20, and for longer trading setups such as swing trades, we recommend 20 and 100.
Settings:
Short SMA: Lookback period of short term simple moving average for the lower side of the SMA spread.
Short Term Weight: Additional weight or multiplier to suppress the short term SMA calculation. This is used to refine the SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the short SMA field.
Long SMA: Lookback period of long term simple moving average for the upper side of the SMA spread.
Long Term Weight: Additional weight or multiplier to suppress the long term SMA calculation. This is used to refine the long SMA calculation for more granular and edge cases when needed, usually left at 1, meaning it will take the entire given value in the long SMA field.
Z-Score Threshold: The threshold for upper (oversold) and lower (overbought) levels. This can also be set individually from the style page.
Z-Score Lookback Window: The lookback period to calculate spread mean and spread standard deviation
C&B Auto MK5C&B Auto MK5.2ema BullBear
Overview
The C&B Auto MK5.2ema BullBear is a versatile Pine Script indicator designed to help traders identify bullish and bearish market conditions across various timeframes. It combines Exponential Moving Averages (EMAs), Relative Strength Index (RSI), Average True Range (ATR), and customizable time filters to generate actionable signals. The indicator overlays on the price chart, displaying EMAs, a dynamic cloud, scaled RSI levels, bull/bear signals, and market condition labels, making it suitable for swing trading, day trading, or scalping in trending or volatile markets.
What It Does
This indicator generates bull and bear signals based on the interaction of two EMAs, filtered by RSI thresholds, ATR-based volatility, a 50/200 EMA trend filter, and user-defined time windows. It adapts to market volatility by adjusting EMA lengths and RSI thresholds. A dynamic cloud highlights trend direction or neutral zones, with candlestick coloring in neutral conditions. Market condition labels (current and historical) provide real-time trend and volatility context, displayed above the chart.
How It Works
The indicator uses the following components:
EMAs: Two EMAs (short and long) are calculated on a user-selected timeframe (1, 5, 15, 30, or 60 minutes). Their crossover or crossunder triggers potential bull/bear signals. EMA lengths adjust based on volatility (e.g., 10/20 for volatile markets, 5/10 for non-volatile).
Dynamic Cloud: The area between the EMAs forms a cloud, colored green for bullish trends, red for bearish trends, or a user-defined color (default yellow) for neutral zones (when EMAs are close, determined by an ATR-based threshold). Users can widen the cloud for visibility.
RSI Filter: RSI is scaled to price levels and plotted on the chart (optional). Signals are filtered to ensure RSI is within volatility-adjusted bull/bear thresholds and not in overbought/oversold zones.
ATR Volatility Filter: An optional filter ensures signals occur during sufficient volatility (ATR(14) > SMA(ATR, 20)).
50/200 EMA Trend Filter: An optional filter restricts bull signals to bullish trends (50 EMA > 200 EMA) and bear signals to bearish trends (50 EMA < 200 EMA).
Time Filter: Signals are restricted to a user-defined UTC time window (default 9:00–15:00), aligning with active trading sessions.
Market Condition Labels: Labels above the chart display the current trend (Bullish, Bearish, Neutral) and optionally volatility (e.g., “Bullish Volatile”). Up to two historical labels persist for a user-defined number of bars (default 5) to show recent trend changes.
Visual Aids: Bull signals appear as green triangles/labels below the bar, bear signals as red triangles/labels above. Candlesticks in neutral zones are colored (default yellow).
The indicator ensures compatibility with standard chart types (e.g., candlestick or bar charts) to produce realistic signals, avoiding non-standard types like Heikin Ashi or Renko.
How to Use It
Add to Chart: Apply the indicator to a candlestick or bar chart on TradingView.
Configure Settings:
Timeframe: Choose a timeframe (1, 5, 15, 30, or 60 minutes) to match your trading style.
Filters:
Enable/disable the ATR volatility filter to focus on high-volatility periods.
Enable/disable the 50/200 EMA trend filter to align signals with the broader trend.
Enable the time filter and set custom UTC hours/minutes (default 9:00–15:00).
Cloud Settings: Adjust the cloud width, neutral zone threshold, color, and transparency.
EMA Colors: Use default trend-based colors or set custom colors for short/long EMAs.
RSI Display: Toggle the scaled RSI and its thresholds, with customizable colors.
Signal Settings: Toggle bull/bear labels and set signal colors.
Market Condition Labels: Toggle current/historical labels, include/exclude volatility, and adjust decay period.
Interpret Signals:
Bull Signal: A green triangle or “Bull” label below the bar indicates potential bullish momentum (EMA crossover, RSI above bull threshold, within time window, passing filters).
Bear Signal: A red triangle or “Bear” label above the bar indicates potential bearish momentum (EMA crossunder, RSI below bear threshold, within time window, passing filters).
Neutral Zone: Yellow candlesticks and cloud (if enabled) suggest a lack of clear trend; consider range-bound strategies or avoid trading.
Market Condition Labels: Check labels above the chart for real-time trend (Bullish, Bearish, Neutral) and volatility status to confirm market context.
Monitor Context: Use the cloud, RSI, and labels to assess trend strength and volatility before acting on signals.
Unique Features
Volatility-Adaptive EMAs: Automatically adjusts EMA lengths based on ATR to suit volatile or non-volatile markets, reducing manual configuration.
Neutral Zone Detection: Uses an ATR-based threshold to identify low-trend periods, helping traders avoid choppy markets.
Scaled RSI Visualization: Plots RSI and thresholds directly on the price chart, simplifying momentum analysis relative to price.
Flexible Time Filtering: Supports precise UTC-based trading windows, ideal for day traders targeting specific sessions.
Historical Market Labels: Displays recent trend changes (up to two) with a decay period, providing context for market shifts.
50/200 EMA Trend Filter: Aligns signals with the broader market trend, enhancing signal reliability.
Notes
Use on standard candlestick or bar charts to ensure accurate signals.
Test the indicator on a demo account to optimize settings for your market and timeframe.
Combine with other analysis (e.g., support/resistance, volume) for better decision-making.
The indicator is not a standalone system; use it as part of a broader trading strategy.
Limitations
Signals may lag in fast-moving markets due to EMA-based calculations.
Neutral zone detection may vary in extremely volatile or illiquid markets.
Time filters are UTC-based; ensure your platform’s timezone settings align.
This indicator is designed for traders seeking a customizable, trend-following tool that adapts to volatility and provides clear visual cues with robust filtering for bullish and bearish market conditions.
6 Dynamic EMAs by Koenigsegg🚀 6 Dynamic EMAs by Koenigsegg
Take control of your chart with ultimate flexibility. This tool gives you 6 customizable EMAs across any timeframe, helping you read the market like a pro — whether you're scalping seconds or swinging days. Built for precision, designed for dominance.
The combinations? Endless. Mix and match any EMA lengths and timeframes for tailored confluence — exactly how elite traders operate.
🔑 Key Features
✅ 6 Fully Customizable EMAs
⏳ Multi-Timeframe Support (from seconds to months)
🎨 Custom Colors & Thickness for each EMA
🚨 Built-in Cross Alerts for instant trade signals
🧠 Clean, efficient logic using request.security()
🔁 Dynamically toggle EMAs on/off
⚙️ Lightweight for smooth chart performance
🧩 Endless combo potential — confluence on your terms
📈 What Is an EMA?
The EMA is a type of moving average that adjusts more quickly to recent price changes than a Simple Moving Average (SMA). It does this by giving exponentially more weight to the most recent candles.
⚙️ How Does It Function?
Smoothing Price Data:
It takes the average of closing prices over a chosen period (like 20 or 50 candles), but gives more influence to the latest prices.
Reacts Quickly to Price Shifts:
Since recent data is weighted more heavily, the EMA adjusts faster to sudden price changes — helping you spot trend reversals or momentum shifts earlier.
Dynamic Support & Resistance:
Traders often use EMAs as moving support/resistance levels. Price often "respects" EMAs in trending markets — bouncing off them during pullbacks.
Trend Confirmation:
- If price is above the EMA, the market is likely in an uptrend.
- If price is below the EMA, the market is likely in a downtrend.
- Multiple EMAs (like 12/21 or 50/200) crossing each other are used for entry/exit signals.
💡 Example:
If you use a 21 EMA on a chart, it shows you the average price of the last 21 candles, but the most recent ones weigh heavier. This makes the EMA more responsive than an SMA, and better for short-term or active trading.
📊 Why EMAs Matter — and How Multi-Timeframe EMAs Give You the Edge
Exponential Moving Averages (EMAs) are essential tools for identifying trend direction, momentum shifts, and dynamic support/resistance. Because they weight recent price data more heavily, EMAs adapt quickly to changing market conditions, giving traders early insight into reversals or continuations.
Where this script shines is in its multi-timeframe (MTF) capability. For example, plotting a daily EMA on a 4H chart gives you high-level directional guidance while still allowing precision entries. This enables confluence between LTF (low timeframe) signals and HTF (high timeframe) momentum — a crucial edge used by institutional-level traders.
You can configure the tool to run classic combos like the 12/21 crossover on your current chart, while layering in a 50 or 200 EMA from a higher timeframe for macro confirmation. The 6th EMA, colored light blue by default, is perfect for adding one final level of structure insight — often used as a long-term anchor or trend bias marker.
Whether you're riding the wave or catching the reversal, these EMAs serve as your adaptable compass in every environment.
🎯 Purpose
This indicator was built to give traders a clear, responsive, and multi-timeframe edge using dynamic Exponential Moving Averages. Whether you're trend-following, identifying momentum shifts, or building a confluence system — these 6 EMAs are here to align with your strategy and style.
💡 Pro Tip
Instead of cluttering your chart with multiple EMA indicators, this script consolidates all into one sleek tool. You can toggle off bands you don't currently need, like running only the 12/21 EMAs on your active chart timeframe, while adding the 12/21 EMAs from a higher timeframe to guide trade decisions.
With this setup, you're not just reacting — you're orchestrating your trades with intention.
⚠️ Disclaimer
This script is for educational and informational purposes only. It does not constitute financial advice. Always do your own research and trade responsibly. Past performance does not guarantee future results.
DDDDD: SMI Quad Sync📄DDDDD: SMI Quad Sync
A multi-timeframe momentum synchronization indicator using 4 Stochastic Oscillators with different lengths (9, 14, 40, 60) to detect collective oversold and overbought zones.
✅ Key Features:
Plots 4 stochastic lines with vertical offsets for better visual separation.
Generates a Long Signal (green square) when all 4 stochastics are below the oversold level.
Generates a Short Signal (red square) when all 4 stochastics are above the overbought level.
Use signals to confirm multi-timeframe momentum alignment or exhaustion.
🎯 How to Use:
Look for green square → potential LONG entry: signals multi-timeframe oversold condition.
Look for red square → potential SHORT entry: signals multi-timeframe overbought condition.
Combine with trend analysis, price action, or other confirmation for optimal entries.
📝 Notes:
The plotted stochastic lines are visually shifted (offset) for clarity; signals are computed from raw, unshifted values.
Designed for traders who prefer confluence across different stochastic lookback periods to improve confidence.
👉 Ideal for scalping, swing trading, or as a momentum filter in broader strategies.
Daily ATR Bonanza: Expected Moves - Tr33man Daily ATR Bonanza: Expected Moves
Overview 🤷♂️
The Daily ATR Bonanza script is a powerful trading tool designed to help traders visualize and understand potential price movements using the Average True Range (ATR). It provides daily and weekly ATR levels, historical statistics, and conditional probability analysis to give traders actionable insights. The script also plots the daily Keltner channel. This script is ideal for traders who want to gauge volatility, identify key levels, and make data-driven decisions.
b]Key Features:
📈 1. Daily and Weekly ATR Levels
🔵ATR Levels: The script calculates and displays ATR-based levels for the day and week. These levels are derived from the previous day's or week's close price and are adjusted using customizable multipliers (0.5x, 1x, and 1.5x by default).
🔵You can choose the number of ATR levels (1, 2, or 3) and adjust the multipliers to suit your trading strategy.
🌐 2. ATR Bands (Keltner Channels)
🔵The script includes an option to display ATR Bands, which are volatility-based envelopes around a moving average. These bands help identify overbought and oversold conditions.
🔵You can adjust the ATR multiplier and the length of the moving average used for the bands.
🧮 3. Historical Statistics and Conditional Probability
🔵 Historical Analysis: The script analyzes historical price movements to calculate the likelihood of closing at certain ATR levels.
🔵 Conditional Probability: This feature shows the probability of the price reaching specific ATR levels given the current market conditions. The conditional matches historical data by an open in the same opening ATR bucket, as well as the current price bucket having been visited in the historical case. Conditional probabilities are just statistics, and do not predict anything.
Data Table: 📚
🔵 Historical Close Probability: The percentage of days the price closed within each ATR level.
🔵 Conditional Close Probability: The likelihood of the price closing within each ATR level today.
❓ What is Conditional Probability? ❓
Conditional probability is a statistical measure that calculates the likelihood of an event occurring given that another event has already occurred. In this script, it is used to determine the probability of the price reaching specific ATR levels based on the current opening range as well as current ATR distance from the previous close.
For example:
If the market opens near the lower end of the first ATR level, the script calculates the likelihood of the price reaching the upper end of the first, second, or third ATR level.
This analysis is based on historical data, making it a powerful tool for understanding potential price movements.
🌟 Understanding the Levels
🔵Daily Levels: These are based on the previous day's close price and ATR. They are updated at the start of each new day.
🔵Weekly Levels: These are based on the previous week's close price and ATR. They are updated at the start of each new week.
🔵ATR Bands: These are dynamic levels that adjust with market volatility.
🔬 Analyze the Statistics (Daily only for now, no weekly yet)
🔵Use the interactive table to understand historical probabilities and conditional probabilities.
🔵Focus on the current opening range and the likelihood of reaching specific levels.
🧠 Make Trading Decisions
🔵Use the ATR levels and bands to identify key support and resistance levels.
🔵Use the conditional probability table to gauge the likelihood of reaching specific targets.
🔵Adjust your strategy based on the historical performance of the market.
Example Use Cases
1. Day Trading
Use the daily ATR levels to set intraday targets and stop-loss levels.
Monitor the conditional probability table to adjust your expectations based on the opening range.
2. Swing Trading
Use the weekly ATR levels to identify longer-term support and resistance levels.
3. Scalping
Use the ATR bands to identify overbought and oversold conditions.
Use the conditional probability table to quickly assess the likelihood of price movements.
[blackcat] L1 Dynamic EdgeOVERVIEW
📈 The L1 Dynamic Edge is a sophisticated trend-following indicator designed to empower traders with a comprehensive view of market dynamics and precise buy/sell signals. By leveraging multiple Exponential Moving Averages (EMAs) and advanced signal processing, this indicator aims to capture the essence of price momentum and provide actionable insights across various financial instruments and timeframes.
🔑 Key Features:
Fully customizable EMA settings
Multi-dimensional trend analysis using high, low, and midpoint EMAs
Intuitive color-coded trend visualization
Accurate buy/sell signals with visual confirmation
Flexible alert system for real-time notifications
Seamless integration with TradingView's charting tools
FEATURES
📉 Advanced Trend Detection:
Utilizes three distinct EMAs (high, low, and midpoint) for a holistic view of market trends
Employs sophisticated logic to determine rising and falling trends
🌟 Dynamic Visualization:
Automatically adjusts the color of EMA plots based on detected trend direction
Fills the area between high and low EMAs for enhanced visual clarity
📈 Precision Signal Generation:
Identifies potential trend reversals using a combination of price action and EMA behavior
Generates clear buy/sell signals based on trend changes
📊 Comprehensive Chart Integration:
Displays buy/sell signals as easily identifiable shapes on the chart
Adds descriptive labels to signal bars for quick reference
🔔 Customizable Alert System:
Provides alert conditions for both buy and sell signals
Allows users to stay informed about potential trading opportunities even when away from the chart
🛠️ User-Friendly Interface:
Simple input parameters for easy customization
Clean and uncluttered chart appearance without overwhelming the user
🌐 Versatile Application:
Adaptable to various financial instruments, including stocks, forex, commodities, and cryptocurrencies
Effective across different timeframes, from short-term scalping to long-term investing
HOW TO USE
✨ Adding the Indicator:
Open your TradingView chart
Click on "Add Indicator" at the top of the screen
Search for " L1 Dynamic Edge" and add it to your chart
🔧 Customizing Settings:
Adjust the EMA length in the input panel to suit your trading style and preferences
Experiment with different values to find what works best for your specific strategy
🕵️♂️ Analyzing Trends:
Observe the color of the EMA bands to quickly assess the overall market sentiment
Note how the filling between the high and low EMAs responds to price movements
📈 Identifying Opportunities:
Watch for buy/sell signals indicated by triangles and labels on the chart
Consider these signals as potential entry/exit points for your trades
🎯 Implementing Strategies:
Combine the indicator's signals with your own analysis and risk management techniques
Use the provided alerts to stay informed about new trading opportunities
🚨 Setting Up Alerts:
Configure alert conditions for buy and sell signals
Choose your preferred notification method (email, SMS, push notifications, etc. )
📊 Fine-Tuning Your Approach:
Regularly review and analyze the indicator's performance
Adjust the EMA length and other parameters as needed to adapt to changing market conditions
LIMITATIONS
Like any technical indicator, the L1 Dynamic Edge should not be used as a standalone trading system
Its effectiveness may be limited during periods of extreme volatility or in highly ranging markets
The indicator's performance will vary depending on the specific instrument and timeframe being analyzed
New traders might need some time to fully understand and effectively utilize all features of the indicator
NOTES
This script utilizes Pine Script version 5 for optimal performance and compatibility with TradingView's latest features
The default EMA length is set to 3, which provides a balance between responsiveness and noise reduction
The indicator's color scheme has been carefully chosen to ensure maximum visibility while maintaining a clean chart appearance
For best results, consider combining this indicator with other forms of technical and fundamental analysis
Regular backtesting and forward testing are crucial to optimize the indicator's settings for your specific trading style and market conditions
THANKS
We extend our deepest gratitude to the vibrant TradingView community for their invaluable feedback, suggestions, and support throughout the development process of the L1 Dynamic Edge indicator. Special thanks to all the dedicated traders who took the time to test and refine this tool, helping us create a more robust and user-friendly experience for everyone.
Support and Resistance Signals MTF [ZaryFlux]Support and Resistance Signals MTF is a powerful multi-timeframe (MTF) indicator designed to automatically detect key support and resistance levels across different timeframes.
It highlights significant price zones where reversals, breakouts, or trend continuations are most likely to occur — helping traders of all styles (scalping, swing, intraday) make smarter entries and exits.
Key Features :
Automatic plotting of dynamic support & resistance zones
Multi-Timeframe analysis: view higher timeframe zones directly on your current chart
Real-time alerts for price interactions with key levels
Customizable sensitivity for different trading strategies
Clean, non-cluttered design for easy readability
Whether you're trading Forex, crypto, stocks, or indices, this tool gives you a clearer view of market structure and high-probability trading zones.
Future Candle Reversal Projection (Mastersinnifty)Overview
This tool identifies potential future market reversal zones by dynamically projecting pivot-based swing patterns forward in time. Unlike traditional ZigZag indicators that only reflect past movements, this indicator anticipates probable future turning points based on historical swing periodicity.
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Key Features
- Forward Projections: Calculates and projects future swing zones based on detected pivot distances.
- Customizable Detection: Adjust the ZigZag depth for different trading styles (scalping, swing, position).
- Dynamic Updates: Real-time recalibration as new pivots form.
- Clean Visual Markers: Projects reversal estimates as intuitive labels and dotted lines.
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How it Works
The indicator identifies significant swing highs and lows using a user-defined ZigZag depth setting. It measures the time (bars) and price characteristics of the latest swing movement. Using this pattern, it projects forward estimated reversal points at consistent intervals. Midpoint price levels between the last high and low are used for each future projection.
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Who Can Benefit
- Intraday and swing traders seeking advanced planning zones.
- Technical analysts relying on pattern periodicity.
- Traders who wish to combine projected reversal markers with their own risk management strategies.
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Disclaimer
This tool is an analytical and educational utility. It does not predict markets with certainty. Always combine it with your own analysis and risk management. Past behavior does not guarantee future results.
CISD [TakingProphets]🧠 Indicator Purpose:
The "CISD - Change in State of Delivery" is a precision tool designed for traders utilizing ICT (Inner Circle Trader) conecpets. It detects critical shifts in delivery conditions after liquidity sweeps — helping you spot true smart money activity and optimal trade opportunities. This script is especially valuable for traders applying liquidity concepts, displacement recognition, and market structure shifts at both intraday and swing levels.
🌟 What Makes This Indicator Unique:
Unlike basic trend-following or scalping tools, CISD operates through a two-phase smart money logic:
Liquidity Sweep Detection (sweeping Buyside or Sellside Liquidity).
State of Delivery Change Identification (through bearish or bullish displacement after the sweep).
It intelligently tracks candle sequences and only signals a CISD event after true displacement — offering a much deeper context than ordinary indicators.
⚙️ How the Indicator Works:
Swing Point Detection: Identifies recent pivot highs/lows to map Buyside Liquidity (BSL) and Sellside Liquidity (SSL) zones.
Liquidity Sweeps: Watches for price breaches of these liquidity points to detect institutional stop hunts.
Sequence Recognition: Finds series of same-direction candles before sweeps to mark institutional accumulation/distribution.
Change of Delivery Confirmation: Confirms CISD only after significant displacement moves price against the initial candle sequence.
Visual Markings: Automatically plots CISD lines and optional labels, customizable in color, style, and size.
🎯 How to Use It:
Identify Liquidity Sweeps: Watch for CISD levels plotted after a liquidity sweep event.
Plan Entries: Look for retracements into CISD lines for high-probability entries.
Manage Risk: Use CISD levels to refine your stop-loss and profit-taking zones.
Best Application:
After stop hunts during Killzones (London Open, New York AM).
As part of the Flow State Model: identify higher timeframe PD Arrays ➔ wait for lower timeframe CISD confirmation.
🔎 Underlying Concepts:
Liquidity Pools: Highs and lows cluster stop orders, attracting institutional sweeps.
Displacement: Powerful price moves post-sweep confirm smart money involvement.
Market Structure: CISD frequently precedes major Change of Character (CHoCH) or Break of Structure (BOS) shifts.
🎨 Customization Options:
Adjustable line color, width, and style (solid, dashed, dotted).
Optional label display with customizable color and sizing.
Line extension settings to keep CISD zones visible for future reference.
✅ Recommended for:
Traders studying ICT Smart Money Concepts.
Intraday scalpers and higher timeframe swing traders.
Traders who want to improve entries around liquidity sweeps and institutional displacement moves.
🚀 Bonus Tip:
For maximum confluence, pair this with the HTF POI, ICT Liquidity Levels, and HTF Market Structure indicators available at TakingProphets.com! 🔥
Market Volatility KeyMarket Volatility Key is a compact dashboard tool designed to help traders quickly assess market conditions related to volatility, trend strength, and asset movement.
This indicator consolidates several key metrics into a color-coded table, providing traders with a real-time overview of the market’s volatility landscape. It is intended to complement existing trading strategies, particularly for trend-following and scalping approaches.
Key Features:
Choppiness Index (CHOP): Measures whether the market is trending or consolidating.
Average True Range (ATR): Customizable by timeframe, helping gauge volatility across different periods.
Volatility Index (VIX): Displays real-time VIX readings, often used as a "fear gauge" for market sentiment.
10-Year US Treasury Bond Yield (10Y): Shows current bond yield to monitor macroeconomic conditions.
Bitcoin (BTC/USD): Tracks price along with directional movement.
Dollar Index (DXY): Displays the strength of the US dollar.
MAG 7 Index: A custom average of Microsoft, Apple, Alphabet, Amazon, Tesla, Meta, and NVIDIA prices.
Visual Enhancements (April 2025 Update):
Directional Arrows: BTC, DXY, MAG7, VIX, and 10Y Bond rows now show ▲ (up), ▼ (down), or → (sideways) based on price movement.
Dynamic Value Colors:
Green for rising prices (BTC, DXY, MAG7, 10Y Bond)
Red for falling prices
For VIX, rising volatility is shown in red and falling volatility in green to better reflect market sentiment.
Customization Options:
Adjustable ATR timeframe
Adjustable table position (top, middle, or bottom right)
Selectable font size (small, medium, large)
Intended Use: This script provides a high-level visual summary of multiple market indicators in one place. It is designed to assist traders in recognizing potential changes in volatility and market sentiment without replacing other forms of technical or fundamental analysis.
Momentum Wave Oscillator📈 Momentum Wave Oscillator (MWO) 📈
The Momentum Wave Oscillator (MWO) is a precision-designed tool for traders who want early, reliable insight into market shifts — before they fully appear on price charts.
Instead of reacting late to moves, MWO is engineered to anticipate changes in momentum by tracking market pressure within a dynamic range.
Its built-in bands and visual cues make it simple to spot key moments where momentum exhaustion, reversals, or fresh breakouts are most likely to occur.
How to Use:
Buy Zones: When the oscillator moves up from lower regions (typically below 20), it may indicate momentum building to the upside.
Sell Zones: When the oscillator moves down from upper regions (typically above 80), it may suggest momentum starting to weaken.
Dynamic Bands:
Unlike conventional fixed levels like 20 and 80, MWO features dynamic adaptive bands that better reflect real-time changes in market behavior.
Markets are fluid — volatility and momentum strength vary from cycle to cycle. Static zones can miss important shifts or produce false signals.
The dynamic bands allow the indicator to adapt naturally to changing conditions, offering more precise context for overbought, oversold, or breakout environments.
Background Colors and Labels:
Automatic highlights appear when potential turning points are detected, allowing traders to act quickly without chart clutter.
Best Practices:
Use the MWO as a confirmation tool alongside your existing strategy (trendlines, support/resistance, volume spikes, etc.).
Look for agreement between the MWO and price action for higher probability entries.
Avoid relying on it in isolation during extremely low-volume periods, where momentum may appear artificially weak or strong.
Adjust sensitivity settings depending on your trading style (scalping vs swing trading).
Important Note:
The MWO is designed for educational and informational purposes. No indicator can predict the future with certainty. Always combine it with proper risk management and your personal trading plan.
Institutional Composite Moving Average (ICMA) [Volume Vigilante]Institutional Composite Moving Average (ICMA)
The Next Evolution of Moving Averages — Built for Real Traders.
ICMA blends the strength of four powerful averages (SMA, EMA, WMA, HMA) into a single ultra-responsive, ultra-smooth signal.
It reacts faster than traditional MAs while filtering out noise, giving you clean trend direction with minimal lag.
🔹 Key Features:
• Faster reaction than SMA, EMA, or WMA individually
• Smoother and more stable than raw HMA
• Naturally adapts across trend, momentum, and consolidation conditions
• Zero gimmicks. Zero repainting. Full institutional quality.
🔹 Designed For:
• Scalping
• Swing trading
• Signal engines
• Algorithmic systems
📎 How to Use:
• Overlay it on any chart
• Fine-tune the length per timeframe
• Combine with your entries/exits for maximum edge
Created by Volume Vigilante 🧬 — Delivering Real-World Trading Tools.
Micro Gaps DetectorSimple Micro Gap Indicator: A Technical Analysis Tool
The Simple Micro Gap Indicator is a specialized momentum indicator designed to identify and analyze micro gaps between consecutive candlesticks in financial charts. Unlike traditional gap analysis that focuses on larger price gaps, this indicator specifically targets smaller, less noticeable spaces between candles.
Key Features:
Detects minimal price disparities between consecutive candlesticks
Helps identify potential short-term momentum shifts
Useful for high-frequency trading and scalping strategies
Functions as a momentum indicator for short-term price movements
