MEMEQUANTMEMEQUANT
This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets.
Key Features:
1. Category-Based Indices:
• Tracks the performance of token categories like:
• AI Agent Tokens
• AI Tokens
• Animal Tokens
• Murad Picks
• Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories.
• Visualizes category indices in a line chart to identify trends and compare money flow between categories.
2. Fibonacci Correction Zones:
• Highlights key retracement levels (e.g., 60%, 70%, 80%).
• These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns.
• Fully customizable to match individual trading strategies.
3. Trend Lines:
• Automatically detects major support and resistance levels.
• Separates long-term and short-term trend lines, allowing traders to focus on significant price movements.
4. Enhanced Info Table:
• Provides real-time insights, including:
• % Distance from All-Time High (ATH)
• Current Trading Volume
• 50-bar Average Volume
• Volume Change Percentage
• Displays information in an easy-to-read table on the chart.
5. Customizable Settings:
• Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table.
• Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences.
How It Works:
1. Tracking Money Flow Across Categories:
• The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend.
• A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation.
2. Identifying Retracement Patterns:
• Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones.
• Combines this with trend line analysis for additional confirmation.
3. Leader Tokens as Indicators:
• Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category.
When to Use:
• Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market.
• Reversal Zones: To spot potential support or resistance levels using Fibonacci zones.
• Money Flow: To understand how capital is moving across different token categories in real time.
Who Is This For?
This script is tailored for:
• Traders specializing in meme coins and DEX tokens.
• Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels.
• Anyone aiming to track money flow dynamics between different token categories.
Future Updates:
This is the initial version of the script. Future updates may include:
• Support for additional token categories and DEX data.
• More advanced pattern recognition and alerts for volume and price anomalies.
• Enhanced visualization for historical data trends.
With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens.
This script is designed to provide meaningful insights and practical utility for traders, adhering to TradingView’s standards for originality, clarity, and user value.
חפש סקריפטים עבור "zone"
GOLDEN RSI by @thejamiulGOLDEN RSI thejamiul is a versatile Relative Strength Index (RSI)-based tool designed to provide enhanced visualization and additional insights into market trends and potential reversal points. This indicator improves upon the traditional RSI by integrating gradient fills for overbought/oversold zones and divergence detection features, making it an excellent choice for traders who seek precise and actionable signals.
Source of this indicator : This indicator is based on @TradingView original RSI indicator with a little bit of customisation to enhance overbought and oversold identification.
Key Features
1. Customizable RSI Settings:
RSI Length: Adjust the RSI calculation period to suit your trading style (default: 14).
Source Selection: Choose the price source (e.g., close, open, high, low) for RSI calculation.
2. Gradient-Filled RSI Zones:
Overbought Zone (80-100): Gradient fill with shades of green to indicate strong bullish conditions.
Oversold Zone (0-20): Gradient fill with shades of red to highlight strong bearish conditions.
3. Support and Resistance Levels:
Upper Band: 80
Middle Bands: 60 (bullish) and 40 (bearish)
Lower Band: 20
These levels help identify overbought, oversold, and neutral zones.
4. Divergence Detection:
Bullish Divergence: Detects lower lows in price with corresponding higher lows in RSI, signaling potential upward reversals.
Bearish Divergence: Detects higher highs in price with corresponding lower highs in RSI, indicating potential downward reversals.
Visual Indicators:
Bullish divergence is marked with green labels and line plots.
Bearish divergence is marked with red labels and line plots.
5. Alert Functionality:
Custom Alerts: Set up alerts for bullish or bearish divergences to stay notified of potential trading opportunities without constant chart monitoring.
6. Enhanced Chart Visualization:
RSI Plot: A smooth and visually appealing RSI curve.
Color Coding: Gradient and fills for better distinction of trading zones.
Pivot Labels: Clear identification of divergence points on the RSI plot.
Fibonacci Channel Standard Deviation levels based off 200MAThis script dynamically combines Fibonacci levels with the 200-period simple moving average (SMA), offering a powerful tool for identifying high-probability support and resistance zones. By adjusting to the changing 200 SMA, the script remains relevant across different market phases.
Key Features:
Dynamic Fibonacci Levels:
The script automatically calculates Fibonacci retracements and extensions relative to the 200 SMA.
These levels adapt to market trends, offering more relevant zones compared to static Fibonacci tools.
Support and Resistance Zones:
In uptrends, price often respects retracement levels above the 200 SMA (e.g., 38.2%, 50%, 61.8%).
In downtrends, price may interact with retracements and extensions below the 200 SMA (e.g., 23.6%, 1.618).
Customizable Confluence Zones:
Key levels such as the golden pocket (61.8%–65%) are highlighted as high-probability zones for reversals or continuations.
Extensions (e.g., 1.618) can serve as profit targets or bearish continuation points.
Practical Applications:
Identifying Reversal Zones:
Look for confluence between Fibonacci levels and the 200 SMA to identify potential reversal points.
Example: A pullback to the 61.8%–65% golden pocket near the 200 SMA often signals a bullish reversal.
Trend Confirmation:
In uptrends, price respecting Fibonacci retracements above the 200 SMA (e.g., 38.2%, 50%) confirms strength.
Use Fibonacci extensions (e.g., 1.618) as profit targets during strong trends.
Dynamic Risk Management:
Place stop-losses just below key Fibonacci retracement levels near the 200 SMA to minimize risk.
Bearish Scenarios:
Below the 200 SMA, Fibonacci retracements and extensions act as resistance levels and bearish targets.
How to Use:
Volume Confirmation: Watch for volume spikes near Fibonacci levels to confirm support or resistance.
Price Action: Combine with candlestick patterns (e.g., engulfing candles, pin bars) for precise entries.
Trend Indicators: Use in conjunction with shorter moving averages or RSI to confirm market direction.
Example Setup:
Scenario: Price retraces to the 61.8% Fibonacci level while holding above the 200 SMA.
Confirmation: Volume spikes, and a bullish engulfing candle forms.
Action: Enter long with a stop-loss just below the 200 SMA and target extensions like 1.618.
Key Takeaways:
The 200 SMA serves as a reliable long-term trend anchor.
Fibonacci retracements and extensions provide dynamic zones for trade entries, exits, and risk management.
Combining this tool with volume, price action, or other indicators enhances its effectiveness.
Holt-Winters Forecast BandsDescription:
The Holt-Winters Adaptive Bands indicator combines seasonal trend forecasting with adaptive volatility bands. It uses the Holt-Winters triple exponential smoothing model to project future price trends, while Nadaraya-Watson smoothed bands highlight dynamic support and resistance zones.
This indicator is ideal for traders seeking to predict future price movements and visualize potential market turning points. By focusing on broader seasonal and trend data, it provides insight into both short- and long-term market directions. It’s particularly effective for swing trading and medium-to-long-term trend analysis on timeframes like daily and 4-hour charts, although it can be adjusted for other timeframes.
Key Features:
Holt-Winters Forecast Line: The core of this indicator is the Holt-Winters model, which uses three components — level, trend, and seasonality — to project future prices. This model is widely used for time-series forecasting, and in this script, it provides a dynamic forecast line that predicts where price might move based on historical patterns.
Adaptive Volatility Bands: The shaded areas around the forecast line are based on Nadaraya-Watson smoothing of historical price data. These bands provide a visual representation of potential support and resistance levels, adapting to recent volatility in the market. The bands' fill colors (red for upper and green for lower) allow traders to identify potential reversal zones without cluttering the chart.
Dynamic Confidence Levels: The indicator adapts its forecast based on market volatility, using inputs such as average true range (ATR) and price deviations. This means that in high-volatility conditions, the bands may widen to account for increased price movements, helping traders gauge the current market environment.
How to Use:
Forecasting: Use the forecast line to gain insight into potential future price direction. This line provides a directional bias, helping traders anticipate whether the price may continue along a trend or reverse.
Support and Resistance Zones: The shaded bands act as dynamic support and resistance zones. When price enters the upper (red) band, it may be in an overbought area, while the lower (green) band may indicate oversold conditions. These bands adjust with volatility, so they reflect the current market conditions rather than fixed levels.
Timeframe Recommendations:
This indicator performs best on daily and 4-hour charts due to its reliance on trend and seasonality. It can be used on lower timeframes, but accuracy may vary due to increased price noise.
For traders looking to capture swing trades, the daily and 4-hour timeframes provide a balance of trend stability and signal reliability.
Adjustable Settings:
Alpha, Beta, and Gamma: These settings control the level, trend, and seasonality components of the forecast. Alpha is generally the most sensitive setting for adjusting responsiveness to recent price movements, while Beta and Gamma help fine-tune the trend and seasonal adjustments.
Band Smoothing and Deviation: These settings control the lookback period and width of the volatility bands, allowing users to customize how closely the bands follow price action.
Parameters:
Prediction Length: Sets the length of the forecast, determining how far into the future the prediction line extends.
Season Length: Defines the seasonality cycle. A setting of 14 is typical for bi-weekly cycles, but this can be adjusted based on observed market cycles.
Alpha, Beta, Gamma: These parameters adjust the Holt-Winters model's sensitivity to recent prices, trends, and seasonal patterns.
Band Smoothing: Determines the smoothing applied to the bands, making them either more reactive or smoother.
Ideal Use Cases:
Swing Trading and Trend Following: The Holt-Winters model is particularly suited for capturing larger market trends. Use the forecast line to determine trend direction and the bands to gauge support/resistance levels for potential entries or exits.
Identifying Reversal Zones: The adaptive bands act as dynamic overbought and oversold zones, giving traders potential reversal areas when price reaches these levels.
Important Notes:
No Buy/Sell Signals: This indicator does not produce direct buy or sell signals. It’s intended for visual trend analysis and support/resistance identification, leaving trade decisions to the user.
Not for High-Frequency Trading: Due to the nature of the Holt-Winters model, this indicator is optimized for higher timeframes like the daily and 4-hour charts. It may not be suitable for high-frequency or scalping strategies on very short timeframes.
Adjust for Volatility: If using the indicator on lower timeframes or more volatile assets, consider adjusting the band smoothing and prediction length settings for better responsiveness.
Implied Fair Value Gap (IFVG) ICT [TradingFinder] Hidden FVG OTE🔵 Introduction
The Implied Fair Value Gap (IFVG) is distinctive due to its unique three-candlestick formation, which differentiates it from conventional Fair Value Gaps.
Implied fair value represents an estimated worth of an asset—often a business or its goodwill—based on the price likely to be received in a structured transaction between market participants at a specific point in time.
In the ever-evolving world of technical analysis, pinpointing price reversal points and market anomalies can significantly enhance trading strategies and decision-making for traders and investors. Among the advanced concepts gaining traction in this field is the Implied Fair Value Gap (IFVG), introduced by the renowned analyst Inner Circle Trader (ICT).
This tool has proven to be an effective method for identifying hidden supply and demand zones in financial markets, offering a unique edge to traders looking for high-probability setups.
Unlike traditional gaps that are visible on price charts, IFVG is a hidden gap that doesn’t appear explicitly on the chart and thus requires specialized technical analysis tools for accurate identification.
This hidden gap can signal potential price reversals and offers traders insight into high-liquidity areas where price is likely to react. This article will guide you through using the ICT Implied Fair Value Gap Indicator effectively, covering its settings, usage strategies, and key features to help you make informed decisions in the market.
🟣 Bullish Implied FVG
🟣 Bearish Implied FVG
🔵 How to Use
The IFVG indicator is designed to assist traders in recognizing hidden support and resistance zones by identifying Bullish and Bearish IFVG patterns. With this tool, traders can make better-informed decisions about suitable entry and exit points for their trades based on these patterns.
🟣 Bullish Implied Fair Value Gap
This pattern occurs in an uptrend when a large bullish candlestick forms, with the wicks of the previous and following candles overlapping the body of the central candlestick.
This overlap creates a demand zone or a hidden support level, which can act as an ideal entry point for buy trades. Often, when the price returns to this area, it is likely to resume its upward trend, presenting a profitable buying opportunity.
🟣 Bearish Implied Fair Value Gap
This pattern is similar but forms in downtrends. Here, a large bearish candlestick appears on the chart, with the wicks of adjacent candles overlapping its body. This overlap defines a supply zone or a hidden resistance level and serves as a signal for potential sell trades.
When the price returns to this zone, it often continues its downward trend, providing an optimal point for entering sell trades.
The IFVG indicator also includes various filters that traders can use to refine their analysis based on market conditions. These filters, including Very Aggressive, Aggressive, Defensive, and Very Defensive, allow users to customize the IFVG zones' width, offering flexibility according to the trader’s risk tolerance and trading style.
🟣 Example Trading Scenarios
Suppose you’re in a strong uptrend and the IFVG indicator identifies a Bullish IFVG zone. In this scenario, you could consider entering a buy trade when the price retraces to this zone, expecting the uptrend to resume. Conversely, in a downtrend, a Bearish IFVG zone can signal a favorable entry point for short trades when the price revisits this area.
🔵 Settings
Implied Block Validity Period: This parameter specifies the validity period of each identified block, taking into account the number of bars that have passed since its formation. Proper adjustment of this period helps traders focus only on relevant zones, increasing the accuracy of the analysis.
Mitigation Level OB : This option defines the mitigation level for supply and demand blocks (Order Blocks), with settings including Proximal, 50% OB, and Distal.
Depending on the selected level, the indicator will focus on closer, mid-range, or farther points for block identification, allowing traders to adjust for the level of precision required.
Implied Filter : Activating this filter allows traders to apply conditions based on the width of the IFVG zones. With options like Very Aggressive and Very Defensive, traders can control the width of IFVG zones to suit their risk management strategy—whether they prefer high-risk setups or low-risk setups.
Display and Color Settings : This section enables users to customize the appearance of the IFVG zones on their charts. Traders can set different colors for Bullish and Bearish zones, allowing for easier distinction and improved visualization.
Alert Settings : One of the standout features of the IFVG indicator is the alert system. By setting up alerts, users can be notified whenever the price approaches a demand or supply zone.
Alerts can be customized to trigger Once Per Bar (one alert per bar) or Per Bar Close (alert at the close of each bar), ensuring that traders stay updated on critical price movements without needing to monitor the chart continuously.
🔵 Conclusion
The ICT Implied Fair Value Gap (IFVG) indicator is a powerful and sophisticated tool in technical analysis, allowing professional traders to identify hidden supply and demand zones and use them as entry and exit points for buy and sell trades.
This indicator’s automatic detection of IFVG zones helps traders uncover hidden trading opportunities that can enhance their analysis.
While the IFVG indicator offers numerous advantages, it is important to use it in conjunction with other technical analysis tools and sound risk management practices.
IFVG alone does not guarantee profitability in trading; it works best when combined with other indicators such as volume analysis and trend-following indicators for a comprehensive trading strategy.
Trading Ranges + ZScoreOverview
The "Trading Ranges + ZScore" script is a versatile technical indicator developed for TradingView. This tool combines two powerful concepts—price ranges and Z-Score analysis—to help traders identify potential trend reversals, overbought/oversold conditions, and trend strength. The script dynamically calculates price ranges based on recent price action and utilizes Z-Score to detect deviations from a statistical norm, providing valuable insights for decision-making in both ranging and trending markets.
Features
Price Ranges: Calculates dynamic upper and lower price boundaries based on volatility and market structure.
Z-Score Oscillator: A statistical measure that highlights overbought/oversold conditions based on the deviation from a moving average.
Trend Detection: Identifies trend continuation or reversal points by comparing current price action against historical levels.
Customizable Alerts: Generates visual signals (diamonds and X crosses) for potential long/short entries and exits.
Visual Representation: Colors the bars based on Z-Score and trend direction, enhancing the chart’s readability and signal clarity.
Customizable Parameters: The script allows users to fine-tune perception length, analysis period, factor multiplier, and oscillator thresholds to fit different market conditions.
Key Input Parameters
Perception: The length used for calculating highest/lowest price points (default: 20).
Analysis: The length used for calculating the moving average and volatility (default: 100).
Factor: A multiplier to adjust the width of the price ranges (default: 2.0).
Oscillator Threshold: The overbought/oversold threshold for the Z-Score oscillator (default: 70).
Trend Filter: A boolean switch that filters signals based on trend direction.
Fill Zones: Option to color-fill between price levels when certain conditions are met.
Bullish/Bearish/Neutral Colors: Customizable colors for bullish, bearish, and neutral signals.
How It Works
Price Ranges Calculation:
The script calculates five levels: two upper boundaries, the average price level, and two lower boundaries. These levels are based on the highest/lowest prices over a user-defined period and adjusted by volatility (Average True Range).
When the price crosses either of these levels, it suggests a significant change in market direction, potentially indicating a trend reversal.
Z-Score Oscillator:
The Z-Score is a statistical measurement of a price's position relative to its moving average. The indicator calculates two variations:
Z-Score based on the absolute difference between the price and the moving average.
Z-Score based on standard deviation.
These oscillators help detect extreme conditions where the price is likely to revert (overbought/oversold zones).
Trend Detection and Signals:
The indicator generates potential buy/sell signals when the price crosses the predefined levels or based on the fast Z-Score crossing the overbought/oversold thresholds.
Weak long/short signals are shown when the faster Z-Score oscillator reaches extreme levels but trend filters are applied to avoid noise.
Bar Colors and Signal Shapes:
Bar colors change dynamically to reflect the trend direction and Z-Score conditions. Signals for potential trades are displayed using diamonds and X crosses, making it easy to spot opportunities visually.
Visuals and Plots
Bar Colors: Changes the bar color based on Z-Score and trend direction.
Z-Score Plot: Displays two Z-Score oscillators, the standard and a faster one for detecting quicker price deviations.
Overbought/Oversold Zones: Highlighted by upper and lower thresholds of the Z-Score.
Long/Short Signals: Uses diamond-shaped markers for strong long/short signals and X-shaped markers for weaker signals.
Dynamic Range Lines: Plots lines for key price levels (upper/lower boundaries, mid-range) based on the dynamic range calculations.
Usage Guide
Identify Overbought/Oversold Conditions: Look for the Z-Score reaching extreme positive or negative values. When combined with trend signals, these conditions often point to a potential reversal.
Follow the Trend: Use the trend filter option to focus only on trades in the direction of the prevailing trend, reducing false signals in ranging markets.
Watch for Range Breakouts: Pay attention to the upper and lower boundaries. Price crossing these levels often signals the start of a new trend or a major price movement.
Adjust Parameters: Tailor the perception length, analysis length, and multiplier to suit different asset classes or timeframes.
Customization
You can adjust the key parameters to adapt the indicator to different markets or personal trading preferences:
- Perception & Analysis Lengths: Control the sensitivity of the price range calculations.
- Factor Multiplier: Adjusts the width of the ranges, with higher values indicating larger zones.
- Oscillator Threshold: Modify the overbought/oversold levels to suit different market volatility.
- Trend Filter: Toggle on/off to focus on trend-following strategies or range-bound conditions.
- Visual Options: Customize colors for bullish, bearish, and neutral signals, as well as enable/disable the zone fills.
MA 3:1 & CZsThis is the script that finds Consolidation Zones in Real Time accompanied by Three Moving Averages (20-50-200).
How does it work?
-The script finds the highest/lowest bars using "Loopback Period".
-Then calculate the address.
-Using direction and high/low bar information, calculate Consolidation Zones in real time.
-If the length of the consolidation area is equal to or greater than the minimum length defined by the user, this area is displayed as Consolidation Zone.
-Then, the Consolidation Zone is automatically extended if there is no rupture.
If you increase the loopback length, you will get larger Consolidation Zones.
The Consolidation Zones allow us to operate within said Zones, becoming independent of the instability of the chart outside said Zones.
We can set a Resistance (green arrow) at the Support of the next higher Zone and a Support (red arrow) at the Resistance of the lower Zone.
Ultimate MACD [captainua]Ultimate MACD - Comprehensive MACD Trading System
Overview
This indicator combines traditional MACD calculations with advanced features including divergence detection, volume analysis, histogram analysis tools, regression forecasting, strong top/bottom detection, and multi-timeframe confirmation to provide a comprehensive MACD-based trading system. The script calculates MACD using configurable moving average types (EMA, SMA, RMA, WMA) and applies various smoothing methods to reduce noise while maintaining responsiveness. The combination of these features creates a multi-layered confirmation system that reduces false signals by requiring alignment across multiple indicators and timeframes.
Core Calculations
MACD Calculation:
The script calculates MACD using the standard formula: MACD Line = Fast MA - Slow MA, Signal Line = Moving Average of MACD Line, Histogram = MACD Line - Signal Line. The default parameters are Fast=12, Slow=26, Signal=9, matching the traditional MACD settings. The script supports four moving average types:
- EMA (Exponential Moving Average): Standard and most responsive, default choice
- SMA (Simple Moving Average): Equal weight to all periods
- RMA (Wilder's Moving Average): Smoother, less responsive
- WMA (Weighted Moving Average): Recent prices weighted more heavily
The price source can be configured as Close (standard), Open, High, Low, HL2, HLC3, or OHLC4. Alternative sources provide different sensitivity characteristics for various trading strategies.
Configuration Presets:
The script includes trading style presets that automatically configure MACD parameters:
- Scalping: Fast/Responsive settings (8,18,6 with minimal smoothing)
- Day Trading: Balanced settings (10,22,7 with minimal smoothing)
- Swing Trading: Standard settings (12,26,9 with moderate smoothing)
- Position Trading: Smooth/Conservative settings (15,35,12 with higher smoothing)
- Custom: Full manual control over all parameters
Histogram Smoothing:
The histogram can be smoothed using EMA to reduce noise and filter minor fluctuations. Smoothing length of 1 = raw histogram (no smoothing), higher values (3-5) = smoother histogram. Increased smoothing reduces noise but may delay signals slightly.
Percentage Mode:
MACD values can be converted to percentage of price (MACD/Close*100) for cross-instrument comparison. This is useful when comparing MACD signals across instruments with different price levels (e.g., BTC vs ETH). The percentage mode normalizes MACD values, making them comparable regardless of instrument price.
MACD Scale Factor:
A scale factor multiplier (default 1.0) allows adjusting MACD display size for better visibility. Use 0.3-0.5 if MACD appears too compressed, or 2.0-3.0 if too small.
Dynamic Overbought/Oversold Levels:
Overbought and oversold levels are calculated dynamically based on MACD's mean and standard deviation over a lookback period. The formula: OB = MACD Mean + (StdDev × OB Multiplier), OS = MACD Mean - (StdDev × OS Multiplier). This adapts to current market conditions, widening in volatile markets and narrowing in calm markets. The lookback period (default 20) controls how quickly the levels adapt: longer periods (30-50) = more stable levels, shorter (10-15) = more responsive.
OB/OS Background Coloring:
Optional background coloring can highlight the entire panel when MACD enters overbought or oversold territory, providing prominent visual indication of extreme conditions. The background colors are drawn on top of the main background to ensure visibility.
Divergence Detection
Regular Divergence:
The script uses the MACD line (not histogram) for divergence detection, which provides more reliable signals. Bullish divergence: Price makes a lower low while MACD line makes a higher low. Bearish divergence: Price makes a higher high while MACD line makes a lower high. Divergences often precede reversals and are powerful reversal signals.
Pivot-Based Divergence:
The divergence detection uses actual pivot points (pivotlow/pivothigh) instead of simple lowest/highest comparisons. This provides more accurate divergence detection by identifying significant pivot lows/highs in both price and MACD line. The pivot-based method compares two recent pivot points: for bullish divergence, price makes a lower low while MACD makes a higher low at the pivot points. This method reduces false divergences by requiring actual pivot points rather than just any low/high within a period.
The pivot lookback parameters (left and right) control how many bars on each side of a pivot are required for confirmation. Higher values = more conservative pivot detection.
Hidden Divergence:
Continuation patterns that signal trend continuation rather than reversal. Bullish hidden divergence: Price makes a higher low but MACD makes a lower low. Bearish hidden divergence: Price makes a lower high but MACD makes a higher high. These patterns indicate the trend is likely to continue in the current direction.
Zero-Line Filter:
The "Don't Touch Zero Line" option ensures divergences occur in proper context: for bullish divergence, MACD must stay below zero; for bearish divergence, MACD must stay above zero. This filters out divergences that occur in neutral zones.
Range Filtering:
Minimum and maximum lookback ranges control the time window between pivots to consider for divergence. This helps filter out divergences that are too close together (noise) or too far apart (less relevant).
Volume Confirmation System
Volume threshold filtering requires current volume to exceed the volume SMA multiplied by the threshold factor. The formula: Volume Confirmed = Volume > (Volume SMA × Threshold). If the threshold is set to 1.0 or lower, volume confirmation is effectively disabled (always returns true). This allows you to use the indicator without volume filtering if desired. Volume confirmation significantly increases divergence and signal reliability.
Volume Climax and Dry-Up Detection:
The script can mark bars with extremely high volume (volume climax) or extremely low volume (volume dry-up). Volume climax indicates potential reversal points or strong momentum continuation. Volume dry-up indicates low participation and may produce unreliable signals. These markers use standard deviation multipliers to identify extreme volume conditions.
Zero-Line Cross Detection
MACD zero-line crosses indicate momentum shifts: above zero = bullish momentum, below zero = bearish momentum. The script includes alert conditions for zero-line crosses with cooldown protection to prevent alert spam. Zero-line crosses can provide early warning signals before MACD crosses the signal line.
Histogram Analysis Tools
Histogram Moving Average:
A moving average applied to the histogram itself helps identify histogram trend direction and acts as a signal line for histogram movements. Supports EMA, SMA, RMA, and WMA types. Useful for identifying when histogram momentum is strengthening or weakening.
Histogram Bollinger Bands:
Bollinger Bands are applied to the MACD histogram instead of price. The calculation: Basis = SMA(Histogram, Period), StdDev = stdev(Histogram, Period), Upper = Basis + (StdDev × Deviation Multiplier), Lower = Basis - (StdDev × Deviation Multiplier). This creates dynamic zones around the histogram that adapt to histogram volatility. When the histogram touches or exceeds the bands, it indicates extreme conditions relative to recent histogram behavior.
Stochastic MACD (StochMACD):
Stochastic MACD applies the Stochastic oscillator formula to the MACD histogram instead of price. This normalizes the histogram to a 0-100 scale, making it easier to identify overbought/oversold conditions on the histogram itself. The calculation: %K = ((Histogram - Lowest Histogram) / (Highest Histogram - Lowest Histogram)) × 100. %K is smoothed, and %D is calculated as the moving average of smoothed %K. Standard thresholds are 80 (overbought) and 20 (oversold).
Regression Forecasting
The script includes advanced regression forecasting that predicts future MACD values using mathematical models. This helps anticipate potential MACD movements and provides forward-looking context for trading decisions.
Regression Types:
- Linear: Simple trend line (y = mx + b) - fastest, works well for steady trends
- Polynomial: Quadratic curve (y = ax² + bx + c) - captures curvature in MACD movement
- Exponential Smoothing: Weighted average with more weight on recent values - responsive to recent changes
- Moving Average: Uses difference between short and long MA to estimate trend - stable and smooth
Forecast Horizon:
Number of bars to forecast ahead (default 5, max 50 for linear/MA, max 20 for polynomial due to performance). Longer horizons predict further ahead but may be less accurate.
Confidence Bands:
Optional upper/lower bands around forecast show prediction uncertainty based on forecast error (standard deviation of prediction vs actual). Wider bands = higher uncertainty. The confidence level multiplier (default 1.5) controls band width.
Forecast Display:
Forecast appears as dotted lines extending forward from current bar, with optional confidence bands. All forecast values respect percentage mode and scale factor settings.
Strong Top/Bottom Signals
The script detects strong recovery from extreme MACD levels, generating "sBottom" and "sTop" signals. These identify significant reversal potential when MACD recovers substantially from overbought/oversold extremes.
Strong Bottom (sBottom):
Triggered when:
1. MACD was at or near its lowest point in the bottom period (default 10 bars)
2. MACD was in or near the oversold zone
3. MACD has recovered by at least the threshold amount (default 0.5) from the lowest point
4. Recovery persists for confirmation bars (default 2 consecutive bars)
5. MACD has moved out of the oversold zone
6. Volume is above average
7. All enabled filters pass
8. Minimum bars have passed since last signal (reset period, default 5 bars)
Strong Top (sTop):
Triggered when:
1. MACD was at or near its highest point in the top period (default 7 bars)
2. MACD was in or near the overbought zone
3. MACD has declined by at least the threshold amount (default 0.5) from the highest point
4. Decline persists for confirmation bars (default 2 consecutive bars)
5. MACD has moved out of the overbought zone
6. Volume is above average
7. All enabled filters pass
8. Minimum bars have passed since last signal (reset period, default 5 bars)
Label Placement:
sTop/sBottom labels appear on the historical bar where the actual extreme occurred (not on current bar), showing the exact MACD value at that extreme. Labels respect the unified distance checking system to prevent overlaps with Buy/Sell Strength labels.
Signal Strength Calculation
The script calculates a composite signal strength score (0-100) based on multiple factors:
- MACD distance from signal line (0-50 points): Larger separation indicates stronger signal
- Volume confirmation (0-15 points): Volume above average adds points
- Secondary timeframe alignment (0-15 points): Higher timeframe agreement adds points
- Distance from zero line (0-20 points): Closer to zero can indicate stronger reversal potential
Higher scores (70+) indicate stronger, more reliable signals. The signal strength is displayed in the statistics table and can be used as a filter to only accept signals above a threshold.
Smart Label Placement System
The script includes an advanced label placement system that tracks MACD extremes and places Buy/Sell Strength labels at optimal locations:
Label Placement Algorithm:
- Labels appear on the current bar at confirmation (not on historical extreme bars), ensuring they're visible when the signal is confirmed
- The system tracks pending signals when MACD enters OB/OS zones or crosses the signal line
- During tracking, the system continuously searches for the true extreme (lowest MACD for buys, highest MACD for sells) within a configurable historical lookback period
- Labels are only finalized when: (1) MACD exits the OB/OS zone, (2) sufficient bars have passed (2x minimum distance), (3) MACD has recovered/declined by a configurable percentage from the extreme (default 15%), and (4) tracking has stopped (no better extreme found)
Label Spacing and Overlap Prevention:
- Minimum Bars Between Labels: Base distance requirement (default 5 bars)
- Label Spacing Multiplier: Scales the base distance (default 1.5x) for better distribution. Higher values = more spacing between labels
- Effective distance = Base Distance × Spacing Multiplier (e.g., 5 × 1.5 = 7.5 bars minimum)
- Unified distance checking prevents overlaps between all label types (Buy Strength, Sell Strength, sTop, sBottom)
Strength-Based Filtering:
- Label Strength Minimum (%): Only labels with strength at or above this threshold are displayed (default 75%)
- When multiple potential labels are close together, the system automatically compares strengths and keeps only the strongest one
- This ensures only the most significant signals are displayed, reducing chart clutter
Zero Line Polarity Enforcement:
- Enforce Zero Line Polarity (default enabled): Ensures labels follow traditional MACD interpretation
- Buy Strength labels only appear when the tracked extreme MACD value was below zero (negative territory)
- Sell Strength labels only appear when the tracked extreme MACD value was above zero (positive territory)
- This prevents counter-intuitive labels (e.g., Buy labels above zero line) and aligns with standard MACD trading principles
Recovery/Decline Confirmation:
- Recovery/Decline Confirm (%): Percent move away from the extreme required before finalizing (default 15%)
- For Buy labels: MACD must recover by at least this percentage from the tracked bottom
- For Sell labels: MACD must decline by at least this percentage from the tracked top
- Higher values = more confirmation required, fewer but more reliable labels
Historical Lookback:
- Historical Lookback for Label Placement: Number of bars to search for true extremes (default 20)
- The system searches within this period to find the actual lowest/highest MACD value
- Higher values analyze more history but may be slower; lower values are faster but may miss some extremes
Cross Quality Score
The script calculates a MACD cross quality score (0-100) that rates crossover quality based on:
- Cross angle (0-50 points): Steeper crosses = stronger signals
- Volume confirmation (0-25 points): Volume above average adds points
- Distance from zero line (0-25 points): Crosses near zero line are stronger
This score helps identify high-quality crossovers and can be used as a filter to only accept signals meeting minimum quality threshold.
Filtering System
Histogram Filter:
Requires histogram to be above zero for buy signals, below zero for sell signals. Ensures momentum alignment before generating signals.
Signal Strength Filter:
Requires minimum signal strength score for signals. Higher threshold = only strongest signals pass. This combines multiple confirmation factors into a single filter.
Cross Quality Filter:
Requires minimum cross quality score for signals. Rates crossover quality based on angle, volume, momentum, and distance from zero. Only signals meeting minimum quality threshold will be generated.
All filters use the pattern: filterResult = not filterEnabled OR conditionMet. This means if a filter is disabled, it always passes (returns true). Filters can be combined, and all must pass for a signal to fire.
Multi-Timeframe Analysis
The script can display MACD from a secondary (higher) timeframe and use it for confirmation. When secondary timeframe confirmation is enabled, signals require the higher timeframe MACD to align (bullish/bearish) with the signal direction. This ensures signals align with the larger trend context, reducing counter-trend trades.
Secondary Timeframe MACD:
The secondary timeframe MACD uses the same calculation parameters (fast, slow, signal, MA type) as the main MACD but from a higher timeframe. This provides context for the current timeframe's MACD position relative to the larger trend. The secondary MACD lines are displayed on the chart when enabled.
Noise Filtering
Noise filtering hides small histogram movements below a threshold. This helps focus on significant moves and reduces chart clutter. When enabled, only histogram movements above the threshold are displayed. Typical threshold values are 0.1-0.5 for most instruments, depending on the instrument's price range and volatility.
Signal Debounce
Signal debounce prevents duplicate MACD cross signals within a short time period. Useful when MACD crosses back and forth quickly, creating multiple signals. Debounce ensures only one signal per period, reducing signal spam during choppy markets. This is separate from alert cooldown, which applies to all alert types.
Background Color Modes
The script offers three background color modes:
- Dynamic: Full MACD heatmap based on OB/OS conditions, confidence, and momentum. Provides rich visual feedback.
- Monotone: Soft neutral background but still allows overlays (OB/OS zones). Keeps the chart clean without overpowering candles.
- Off: No MACD background (only overlays and plots). Maximum chart cleanliness.
When OB/OS background colors are enabled, they are drawn on top of the main background to ensure visibility.
Statistics Table
A real-time statistics table displays current MACD values, signal strength, distance from zero line, secondary timeframe alignment, volume confirmation status, and all active filter statuses. The table dynamically adjusts to show only enabled features, keeping it clean and relevant. The table position can be configured (Top Left, Top Right, Bottom Left, Bottom Right).
Performance Statistics Table
An optional performance statistics table shows comprehensive filter diagnostics:
- Total buy/sell signals (raw crossover count before filters)
- Filtered buy/sell signals (signals that passed all filters)
- Overall pass rates (percentage of signals that passed filters)
- Rejected signals count
- Filter-by-filter rejection diagnostics showing which filters rejected how many signals
This table helps optimize filter settings by showing which filters are most restrictive and how they impact signal frequency. The diagnostics format shows rejections as "X B / Y S" (X buy signals rejected, Y sell signals rejected) or "Disabled" if the filter is not active.
Alert System
The script includes separate alert conditions for each signal type:
- MACD Cross: MACD line crosses above/below Signal line (with or without secondary confirmation)
- Zero-Line Cross: MACD crosses above/below zero
- Divergence: Regular and hidden divergence detections
- Secondary Timeframe: Higher timeframe MACD crosses
- Histogram MA Cross: Histogram crosses above/below its moving average
- Histogram Zero Cross: Histogram crosses above/below zero
- StochMACD: StochMACD overbought/oversold entries and %K/%D crosses
- Histogram BB: Histogram touches/breaks Bollinger Bands
- Volume Events: Volume climax and dry-up detections
- OB/OS: MACD entry/exit from overbought/oversold zones
- Strong Top/Bottom: sTop and sBottom signal detections
Each alert type has its own cooldown system to prevent alert spam. The cooldown requires a minimum number of bars between alerts of the same type, reducing duplicate alerts during volatile periods. Alert types can be filtered to only evaluate specific alert types (All, MACD Cross, Zero Line, Divergence, Secondary Timeframe, Histogram MA, Histogram Zero, StochMACD, Histogram BB, Volume Events, OB/OS, Strong Top/Bottom).
How Components Work Together
MACD crossovers provide the primary signal when the MACD line crosses the Signal line. Zero-line crosses indicate momentum shifts and can provide early warning signals. Divergences identify potential reversals before they occur.
Volume confirmation ensures signals occur with sufficient market participation, filtering out low-volume false breakouts. Histogram analysis tools (MA, Bollinger Bands, StochMACD) provide additional context for signal reliability and identify significant histogram zones.
Signal strength combines multiple confirmation factors into a single score, making it easy to filter for only the strongest signals. Cross quality score rates crossover quality to identify high-quality setups. Multi-timeframe confirmation ensures signals align with higher timeframe trends, reducing counter-trend trades.
Usage Instructions
Getting Started:
The default configuration shows MACD(12,26,9) with standard EMA calculations. Start with default settings and observe behavior, then customize settings to match your trading style. You can use configuration presets for quick setup based on your trading style.
Customizing MACD Parameters:
Adjust Fast Length (default 12), Slow Length (default 26), and Signal Length (default 9) based on your trading timeframe. Shorter periods (8,17,7) for faster signals, longer (15,30,12) for smoother signals. You can change the moving average type: EMA for responsiveness, RMA for smoothness, WMA for recent price emphasis.
Price Source Selection:
Choose Close (standard), or alternative sources (HL2, HLC3, OHLC4) for different sensitivity. HL2 uses the midpoint of the high-low range, HLC3 and OHLC4 incorporate more price information.
Histogram Smoothing:
Set smoothing to 1 for raw histogram (no smoothing), or increase (3-5) for smoother histogram that reduces noise. Higher smoothing reduces false signals but may delay signals slightly.
Percentage Mode:
Enable percentage mode when comparing MACD across instruments with different price levels. This normalizes MACD values, making them directly comparable.
Dynamic OB/OS Levels:
The dynamic thresholds automatically adapt to volatility. Adjust the multipliers (default 1.5) to fine-tune sensitivity: higher values (2.0-3.0) = more extreme thresholds (fewer signals), lower (1.0-1.5) = more frequent signals. Adjust the lookback period to control how quickly levels adapt. Enable OB/OS background colors for visual indication of extreme conditions.
Volume Confirmation:
Set volume threshold to 1.0 (default, effectively disabled) or higher (1.2-1.5) for standard confirmation. Higher values require more volume for confirmation. Set to 0.1 to completely disable volume filtering.
Filters:
Enable filters gradually to find your preferred balance. Start with histogram filter for basic momentum alignment, then add signal strength filter (threshold 50+) for moderate signals, then cross quality filter (threshold 50+) for high-quality crossovers. Combine filters for highest-quality signals but expect fewer signals.
Divergence:
Enable divergence detection and adjust pivot lookback parameters. Pivot-based divergence provides more accurate detection using actual pivot points. Hidden divergence is useful for trend-following strategies. Adjust range parameters to filter divergences by time window.
Zero-Line Crosses:
Zero-line cross alerts are automatically available when alerts are enabled. These provide early warning signals for momentum shifts.
Histogram Analysis Tools:
Enable Histogram Moving Average to see histogram trend direction. Enable Histogram Bollinger Bands to identify extreme histogram zones. Enable Stochastic MACD to normalize histogram to 0-100 scale for overbought/oversold identification.
Multi-Timeframe:
Enable secondary timeframe MACD to see higher timeframe context. Enable secondary confirmation to require higher timeframe alignment for signals.
Signal Strength:
Signal strength is automatically calculated and displayed in the statistics table. Use signal strength filter to only accept signals above a threshold (e.g., 50 for moderate, 70+ for strong signals only).
Smart Label Placement:
Configure label placement settings to control label appearance and quality:
- Label Strength Minimum (%): Set threshold (default 75%) to show only strong signals. Higher = fewer, stronger labels
- Label Spacing Multiplier: Adjust spacing (default 1.5x) for better distribution. Higher = more spacing between labels
- Recovery/Decline Confirm (%): Set confirmation requirement (default 15%). Higher = more confirmation, fewer labels
- Enforce Zero Line Polarity: Enable (default) to ensure Buy labels only appear when tracked extreme was below zero, Sell labels only when above zero
- Historical Lookback: Adjust search period (default 20 bars) for finding true extremes. Higher = more history analyzed
Cross Quality:
Cross quality score is automatically calculated for crossovers. Use cross quality filter to only accept high-quality crossovers (threshold 50+ for moderate, 70+ for high quality).
Alerts:
Set up alerts for your preferred signal types. Enable alert cooldown (default enabled, 5 bars) to prevent alert spam. Use alert type filter to only evaluate specific alert types (All, MACD Cross, Zero Line, Divergence, Secondary Timeframe, Histogram MA, Histogram Zero, StochMACD, Histogram BB, Volume Events, OB/OS, Strong Top/Bottom). Each signal type has its own alert condition, so you can be selective about which signals trigger alerts.
Visual Elements and Signal Markers
The script uses various visual markers to indicate signals and conditions:
- MACD Line: Green when above signal (bullish), red when below (bearish) if dynamic colors enabled. Optional black outline for enhanced visibility
- Signal Line: Orange line with optional black outline for enhanced visibility
- Histogram: Color-coded based on direction and momentum (green for bullish rising, lime for bullish falling, red for bearish falling, orange for bearish rising)
- Zero Line: Horizontal reference line at MACD = 0
- Fill to Zero: Green/red semi-transparent fill between MACD line and zero line showing bullish/bearish territory
- Fill Between OB/OS: Blue semi-transparent fill between overbought/oversold thresholds highlighting neutral zone
- OB/OS Background Colors: Background coloring when MACD enters overbought/oversold zones
- Background Colors: Dynamic or monotone backgrounds indicating MACD state, or custom chart background
- Divergence Labels: "🐂" for bullish, "🐻" for bearish, "H Bull" for hidden bullish, "H Bear" for hidden bearish
- Divergence Lines: Colored lines connecting pivot points when divergences are detected
- Volume Climax Markers: ⚡ symbol for extremely high volume
- Volume Dry-Up Markers: 💧 symbol for extremely low volume
- Buy/Sell Strength Labels: Show signal strength percentage (e.g., "Buy Strength: 75%")
- Strong Top/Bottom Labels: "sTop" and "sBottom" for extreme level recoveries
- Secondary MACD Lines: Purple lines showing higher timeframe MACD
- Histogram MA: Orange line showing histogram moving average
- Histogram BB: Blue bands around histogram showing extreme zones
- StochMACD Lines: %K and %D lines with overbought/oversold thresholds
- Regression Forecast: Dotted blue lines extending forward with optional confidence bands
Signal Priority and Interpretation
Signals are generated independently and can occur simultaneously. Higher-priority signals generally indicate stronger setups:
1. MACD Cross with Multiple Filters - Highest priority: Requires MACD crossover plus all enabled filters (histogram, signal strength, cross quality) and secondary timeframe confirmation if enabled. These are the most reliable signals.
2. Zero-Line Cross - High priority: Indicates momentum shift. Can provide early warning signals before MACD crosses the signal line.
3. Divergence Signals - Medium-High priority: Pivot-based divergence is more reliable than simple divergence. Hidden divergence indicates continuation rather than reversal.
4. MACD Cross with Basic Filters - Medium priority: MACD crosses signal line with basic histogram filter. Less reliable alone but useful when combined with other confirmations.
Best practice: Wait for multiple confirmations. For example, a MACD crossover combined with divergence, volume confirmation, and secondary timeframe alignment provides the strongest setup.
Chart Requirements
For proper script functionality and compliance with TradingView requirements, ensure your chart displays:
- Symbol name: The trading pair or instrument name should be visible
- Timeframe: The chart timeframe should be clearly displayed
- Script name: "Ultimate MACD " should be visible in the indicator title
These elements help traders understand what they're viewing and ensure proper script identification. The script automatically includes this information in the indicator title and chart labels.
Performance Considerations
The script is optimized for performance:
- Calculations use efficient Pine Script functions (ta.ema, ta.sma, etc.) which are optimized by TradingView
- Conditional execution: Features only calculate when enabled
- Label management: Old labels are automatically deleted to prevent accumulation
- Array management: Divergence label arrays are limited to prevent memory accumulation
The script should perform well on all timeframes. On very long historical data with many enabled features, performance may be slightly slower, but it remains usable.
Known Limitations and Considerations
- Dynamic OB/OS levels can vary significantly based on recent MACD volatility. In very volatile markets, levels may be wider; in calm markets, they may be narrower.
- Volume confirmation requires sufficient historical volume data. On new instruments or very short timeframes, volume calculations may be less reliable.
- Higher timeframe MACD uses request.security() which may have slight delays on some data feeds.
- Stochastic MACD requires the histogram to have sufficient history. Very short periods on new charts may produce less reliable StochMACD values initially.
- Divergence detection requires sufficient historical data to identify pivot points. Very short lookback periods may produce false positives.
Practical Use Cases
The indicator can be configured for different trading styles and timeframes:
Swing Trading:
Use MACD(12,26,9) with secondary timeframe confirmation. Enable divergence detection. Use signal strength filter (threshold 50+) and cross quality filter (threshold 50+) for higher-quality signals. Enable histogram analysis tools for additional context.
Day Trading:
Use MACD(8,17,7) or use "Day Trading" preset with minimal histogram smoothing for faster signals. Enable zero-line cross alerts for early signals. Use volume confirmation with threshold 1.2-1.5. Enable histogram MA for momentum tracking.
Trend Following:
Use MACD(12,26,9) or longer periods (15,30,12) for smoother signals. Enable secondary timeframe confirmation for trend alignment. Hidden divergence signals are useful for trend continuation entries. Use cross quality filter to identify high-quality crossovers.
Reversal Trading:
Focus on divergence detection (pivot-based for accuracy) combined with zero-line crosses. Enable volume confirmation. Use histogram Bollinger Bands to identify extreme histogram zones. Enable StochMACD for overbought/oversold identification.
Multi-Timeframe Analysis:
Enable secondary timeframe MACD to see context from larger timeframes. For example, use daily MACD on hourly charts to understand the larger trend context. Enable secondary confirmation to require higher timeframe alignment for signals.
Practical Tips and Best Practices
Getting Started:
Start with default settings and observe MACD behavior. The default configuration (MACD 12,26,9 with EMA) is balanced and works well across different markets. After observing behavior, customize settings to match your trading style. Consider using configuration presets for quick setup.
Reducing Repainting:
All signals are based on confirmed bars, minimizing repainting. The script uses confirmed bar data for all calculations to ensure backtesting accuracy.
Signal Quality:
MACD crosses with multiple filters provide the highest-quality signals because they require alignment across multiple indicators. These signals have lower frequency but higher reliability. Use signal strength scores to identify the strongest signals (70+). Use cross quality scores to identify high-quality crossovers (70+).
Filter Combinations:
Start with histogram filter for basic momentum alignment, then add signal strength filter for moderate signals, then cross quality filter for high-quality crossovers. Combining all filters significantly reduces false signals but also reduces signal frequency. Find your balance based on your risk tolerance.
Volume Filtering:
Set volume threshold to 1.0 (default, effectively disabled) or lower to effectively disable volume filtering if you trade instruments with unreliable volume data or want to test without volume confirmation. Standard confirmation uses 1.2-1.5 threshold.
MACD Period Selection:
Standard MACD(12,26,9) provides balanced signals suitable for most trading. Shorter periods (8,17,7) for faster signals, longer (15,30,12) for smoother signals. Adjust based on your timeframe and trading style. Consider using configuration presets for optimized settings.
Moving Average Type:
EMA provides balanced responsiveness with smoothness. RMA is smoother and less responsive. WMA gives more weight to recent prices. SMA gives equal weight to all periods. Choose based on your preference for responsiveness vs. smoothness.
Divergence:
Pivot-based divergence is more reliable than simple divergence because it uses actual pivot points. Hidden divergence indicates continuation rather than reversal, useful for trend-following strategies. Adjust pivot lookback parameters to control sensitivity.
Dynamic Thresholds:
Dynamic OB/OS thresholds automatically adapt to volatility. In volatile markets, thresholds widen; in calm markets, they narrow. Adjust the multipliers to fine-tune sensitivity. Enable OB/OS background colors for visual indication.
Zero-Line Crosses:
Zero-line crosses indicate momentum shifts and can provide early warning signals before MACD crosses the signal line. Enable alerts for zero-line crosses to catch these early signals.
Alert Management:
Enable alert cooldown (default enabled, 5 bars) to prevent alert spam. Use alert type filter to only evaluate specific alert types. Signal debounce (default enabled, 3 bars) prevents duplicate MACD cross signals during choppy markets.
Technical Specifications
- Pine Script Version: v6
- Indicator Type: Non-overlay (displays in separate panel below price chart)
- Repainting Behavior: Minimal - all signals are based on confirmed bars, ensuring accurate backtesting results
- Performance: Optimized with conditional execution. Features only calculate when enabled.
- Compatibility: Works on all timeframes (1 minute to 1 month) and all instruments (stocks, forex, crypto, futures, etc.)
- Edge Case Handling: All calculations include safety checks for division by zero, NA values, and boundary conditions. Alert cooldowns and signal debounce handle edge cases where conditions never occurred or values are NA.
Technical Notes
- All MACD values respect percentage mode conversion when enabled
- Volume confirmation uses cached volume SMA for performance
- Label arrays (divergence) are automatically limited to prevent memory accumulation
- Background coloring: OB/OS backgrounds are drawn on top of main background to ensure visibility
- All calculations are optimized with conditional execution - features only calculate when enabled (performance optimization)
- Signal strength calculation combines multiple factors into a single score for easy filtering
- Cross quality calculation rates crossover quality based on angle, volume, and distance from zero
- Secondary timeframe MACD uses request.security() for higher timeframe data access
- Histogram analysis features (Bollinger Bands, MA, StochMACD) provide additional context beyond basic MACD signals
- Statistics table dynamically adjusts to show only enabled features, keeping it clean and relevant
- Divergence detection uses MACD line (not histogram) for more reliable signals
- Configuration presets automatically optimize MACD parameters for different trading styles
- Smart label placement: Labels appear on current bar at confirmation, using strength from tracked extreme point
- Label spacing uses effective distance (base distance × spacing multiplier) for better distribution
- Zero line polarity enforcement ensures Buy labels only appear when tracked extreme MACD < 0, Sell labels only when tracked extreme MACD > 0
- Label finalization requires MACD exit from OB/OS zone, sufficient bars passed, and recovery/decline percentage confirmation
- Strength-based filtering automatically compares and keeps only the strongest label when multiple signals are close together
- Enhanced visualization: Line outlines drawn behind main lines for superior visibility (black default, configurable)
- Enhanced visualization: Fill between MACD and zero line provides instant visual feedback (green above, red below)
- Enhanced visualization: Fill between OB/OS thresholds highlights neutral zone when dynamic levels are active
- Custom chart background overrides background mode when enabled, allowing theme-consistent indicator panels
Session Dynamics & Pivot Overlay (Arjo)## **OVERVIEW**
The **Session Dynamics & Pivot Overlay (Arjo)** is a visual analysis tool that displays session-based price ranges, anchored volume-weighted averages, daily pivot levels, and smoothed trend conditions on the chart. It highlights how price interacts with custom sessions, midpoint levels, and dynamic ranges, providing a structured visual layout that helps users observe market behavior over time without implying any form of prediction or trading signal.
## **CONCEPTS**
This indicator incorporates several widely used analytical concepts:
- **Session Ranges:** Identifies user-defined time windows and visually displays their high, low, and midpoint behavior throughout the session.
- **VWAP (Morning Session):** Shows volume-weighted average price calculations for a defined morning period, assisting with visual comparison between price and weighted averages.
- **Daily Pivot Levels:** Displays R1–R2, S1–S2, central pivot, and associated levels derived from prior daily price data.
- **Trend Smoothing:** Uses SuperSmoother filtering and an additional EMA to highlight whether the smoothed trend is rising or falling.
- **EMA + ATR Bands:** Plots a 20-period EMA with upper and lower ATR-derived bands to help visualize short-term price displacement relative to average true range.
All of these elements are presented solely for structural and comparative chart analysis.
## **FEATURES**
- **Custom Session Visualization:** Automatically draws session boxes, capturing the evolving high, low, and midpoint throughout the defined intraday window.
- **Dynamic Midline Calculation:** A midpoint line is updated continuously during the session to visually anchor price within the session’s range.
- **Morning Session VWAP:** Displays a dedicated VWAP line for the morning window with adjustable source and configuration options.
- **Daily Pivot Lines:** Automatically plots pivot, BC/TC, R1–R2, and S1–S2 levels with customizable colors, widths, and line styles.
- **Trend-Responsive Pivot Display:** Optionally toggles visibility of R2 or S2 depending on the direction of the smoothed trend.
- **EMA + ATR Zones:** Renders a 20-EMA and ATR-based support/resistance zone using filled regions for enhanced visual clarity.
- **Full Customization:** Multiple color, transparency, line-style, and display options allow users to adapt the presentation to their charting preferences.
- **Overlay Compatible:** Designed to work directly on price charts without obstructing candles or other overlays.
## **HOW TO USE**
Users can interact with the indicator entirely through the settings panel:
- Adjust session timings to match preferred market hours or custom internal zones.
- Enable or disable the display of pivot levels, VWAP, or the ATR/EMA zone.
- Customize colors and line styles to improve visibility according to the chart background or personal preference.
- Observe how price behaves relative to the session box, midpoint, VWAP, and pivot levels for contextual understanding.
- Utilize the smoothed trend condition to see when the indicator chooses to display certain pivot extensions.
These elements help users interpret chart structure, volatility, and intraday behavior in a visually organized manner.
## **CONCLUSION**
The ** Session Dynamics & Pivot Overlay (Arjo) ** indicator offers a consolidated view of session structure, pivot levels, VWAP, and smoothed trend conditions. Its purpose is to improve visual clarity and assist users in understanding market context without issuing directives or trade suggestions. It functions as an educational tool that enhances chart interpretation and supports structured analysis.
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## **DISCLAIMER**
This indicator is for educational and visual analysis purposes only. It does not provide trading signals, financial advice, or guaranteed outcomes. Users should conduct their own research and consult a licensed financial professional when necessary. All trading decisions are solely the responsibility of the user.
Happy Trading (Arjo)
TTP IFVG Signals With EMA /ICT Gold scalpingThis script uses original logic and alerting rules. in Japan
finding ICT IFVG and EMA conditions.
#IFVG, Forex, ICT, EMA, Scalping, Indicator
This indicator automatically finds IFVG (Imbalance / Fair Value Gap) zones and gives you a buy or sell signal when price comes back and breaks out through that gap.
It also draws a colored box over the gap so you can see the zone visually, and it raises alerts when a new signal appears.
High-level logic:
On every bar, the script looks back up to “IFVG_GapBars” bars.
For each offset i it checks a 3-candle pattern:
– If the low of the newer candle is above the high of the older candle: bullish FVG (price jumped up, leaving a gap).
– If the high of the newer candle is below the low of the older candle: bearish FVG (price jumped down, leaving a gap).
When a valid FVG is found:
– For a bullish FVG it looks for a later close that breaks down through that gap (sell signal).
– For a bearish FVG it looks for a later close that breaks up through that gap (buy signal).
– A moving-average trend filter must agree (downtrend for sells, uptrend for buys).
– It checks that price has not already “filled” the gap before the breakout.
If all conditions are satisfied, it:
– Sets signal_dir = 1 for a buy, or -1 for a sell.
– Draws a box from the original FVG bar to the bar just before the breakout (extended a bit to the right), between the gap high and gap low.
– Plots an ▲ label for buys or ▼ label for sells.
– Triggers the corresponding alert conditions.
Now the parameters:
PipSizeMultilier (PipSizeManual)
Multiplies the symbol’s minimum tick size (syminfo.mintick).
It is used when converting “MinFVG_Pips” into an actual price distance.
If you feel the indicator is too sensitive (too many small gaps), you can increase this multiplier to effectively require a larger price difference.
TickSize
Internal value = syminfo.mintick * PipSizeMultiplier.
This is the actual price step the script uses as a “pip” when checking minimum gap size.
FVG Search Lookback (IFVG_GapBars)
How many bars back from the current bar the script will scan for a 3-candle FVG pattern.
Larger value = it can find older FVGs, but loop cost is higher.
Min FVG Size (Pips/Points) (MinFVG_Pips)
Minimum allowed size of the gap, measured in “pips/points” using TickSize.
If the vertical distance between the gap high and gap low is smaller than this, the gap is ignored.
0.0 means “no size filter” (every FVG is allowed).
FVG Epsilon (Price Units) (FVG_EpsPoints)
Tolerance for the FVG detection.
It is subtracted/added in the condition that checks “low > old high” or “high < old low”.
0.0 means strict gap (no overlap at all). A small positive epsilon allows tiny overlaps to still count as a gap.
Show IFVG Zones (ShowZones)
If true, the script draws a box over the IFVG zone when a signal is confirmed.
If false, no boxes are drawn; you only see the ▲ / ▼ markers and alerts.
Buy Zone Color (ZoneColorBuy)
Fill color and border color for boxes created from bearish FVGs that later produce a buy signal.
Sell Zone Color (ZoneColorSell)
Fill color and border color for boxes created from bullish FVGs that later produce a sell signal.
Box Extension (Bars) (BoxExtension)
How many extra bars to extend the right side of the box beyond the breakout bar.
The internal right coordinate is “bar_index - 1 + BoxExtension”.
Increase this if you want the zone to visually extend further into the future.
MA Period (MA_Period)
Lookback length of the moving average used as a trend filter.
MA Type (MA_Kind)
Type of moving average: “SMA” or “EMA”.
If SMA is chosen, the script uses ta.sma; if EMA, it uses ta.ema.
Moving-average filter behavior:
For sell signals (from bullish FVG): MA must be sloping down (MA < MA ) and price must be below MA.
For buy signals (from bearish FVG): MA must be sloping up (MA > MA ) and price must be above MA.
If these conditions are not satisfied, the FVG is ignored even if the gap and breakout conditions are met.
Signals and alerts:
signal_dir = 1 → buy signal, ▲ label below the bar, “IFVG Buy Alert” / “IFVG Buy/Sell Alert” can fire.
signal_dir = -1 → sell signal, ▼ label above the bar, “IFVG Sell Alert” / “IFVG Buy/Sell Alert” can fire.
signal_dir = 0 → no new signal on this bar.
In short:
This indicator finds 3-candle IFVG gaps, filters them by size and trend, waits for a clean breakout through the gap, draws a box on the original gap zone, and gives you a clear buy or sell signal plus alerts.
ULTIMATE ORDER FLOW SYSTEM🔥 ULTIMATE ORDER FLOW SYSTEM
Overview
This comprehensive order flow analysis tool combines **Volume Profile**, **Cumulative Delta**, and **Large Order Detection** to identify high-probability trading setups. The script analyzes institutional order flow patterns and volume distribution to pinpoint key levels where price is likely to react.
📊 Core Components & Methodology
🔥 ULTIMATE ORDER FLOW SYSTEM
Overview
This comprehensive order flow analysis tool combines Volume Profile, Cumulative Delta, and Large Order Detection to identify high-probability trading setups. The script analyzes institutional order flow patterns and volume distribution to pinpoint key levels where price is likely to react.
________________________________________
📊 Core Components & Methodology
1. Volume Profile Analysis
The script constructs a horizontal volume profile by:
• Dividing the price range into configurable rows (default: 20)
• Accumulating volume at each price level over a lookback period (default: 50 bars)
• Separating buy volume (green bars close > open) from sell volume (red bars)
• Identifying three critical levels:
o POC (Point of Control): Price level with highest traded volume - acts as a strong magnet
o VAH/VAL (Value Area High/Low): Contains 70% of total volume - defines fair value zone
o HVN (High Volume Nodes): Resistance zones where institutions accumulated positions
o LVN (Low Volume Nodes): Thin zones that price moves through quickly - ideal targets
Why This Matters: Institutional traders leave footprints through volume. HVN zones show where large players defended levels, making them reliable support/resistance.
________________________________________
2. Cumulative Delta (Order Flow)
Tracks the running total of buying vs selling pressure:
• Bar Delta: Difference between buy and sell volume per candle
• Cumulative Delta: Sum of all bar deltas - shows net directional pressure
• Delta Moving Average: Smoothed delta (20-period) to identify trend
• Delta Divergences:
o Bullish: Price makes lower low, but delta makes higher low (absorption at bottom)
o Bearish: Price makes higher high, but delta makes lower high (exhaustion at top)
How It Works: When cumulative delta trends up while price consolidates, it signals accumulation. Delta divergences reveal when smart money is positioned opposite to retail expectations.
________________________________________
3. Large Order Detection
Identifies institutional-sized orders in real-time:
• Compares current bar volume to 20-period moving average
• Flags orders exceeding 2.5x average volume (configurable multiplier)
• Distinguishes bullish (green circles below) vs bearish (red circles above) large orders
Rationale: Sudden volume spikes at key levels indicate institutional participation - the "fuel" needed for breakouts or reversals.
________________________________________
🎯 Trading Signal Logic
Combined Setup Criteria
The script generates SHORT and LONG signals when multiple conditions align:
SHORT Signal Requirements:
1. Price reaches an HVN resistance zone (within 0.2%)
2. Large sell order detected (volume spike + red candle)
3. Cumulative delta is bearish OR bearish divergence present
4. 10-bar cooldown between signals (prevents overtrading)
LONG Signal Requirements:
1. Price reaches an HVN support zone
2. Large buy order detected (volume spike + green candle)
3. Cumulative delta is bullish OR bullish divergence present
4. 10-bar cooldown enforced
________________________________________
🔧 Customization Options
Setting - Purpose - Recommendation
Volume Profile Rows - Granularity of level detection - 20 (balanced)
Lookback Period - Historical data analyzed - 50 bars (intraday), 200 (swing)
Large Order Multiplier - Sensitivity to volume spikes - 2.5x (standard), 3.5x (conservative)
HVN Threshold - Resistance zone detection - 1.3 (default)
LVN Threshold - Target zone identification - 0.6 (default)
Divergence Lookback - Pivot detection period - 5 bars (responsive)
________________________________________
📈 Dashboard Indicators
The real-time panel displays:
• POC: Current Point of Control price
• Location: Whether price is at HVN resistance
• Orders: Current large buy/sell activity
• Cumulative Δ: Net order flow value + trend direction
• Divergence: Active bullish/bearish divergences
• Bar Strength: % of candle volume that's directional (>65% = strong)
• SETUP: Current trade signal (LONG/SHORT/WAIT)
________________________________________
🎨 Visual System
• Yellow POC Line: Highest volume level - primary pivot
• Blue Value Area Box: Fair value zone (VAH to VAL)
• Red HVN Zones: Resistance/support from institutional accumulation
• Green LVN Zones: Low-liquidity targets for quick moves
• Volume Bars: Green (buy pressure) vs Red (sell pressure) distribution
• Triangles: LONG (green up) and SHORT (red down) entry signals
• Diamonds: Divergence warnings (cyan=bullish, fuchsia=bearish)
________________________________________
💡 How This Script Is Unique
Unlike standalone volume profile or delta indicators, this script:
1. Synthesizes three complementary methods - volume structure, order flow momentum, and liquidity detection
2. Requires multi-factor confirmation - signals only trigger when price, volume, and delta align at key zones
3. Adapts to market regime - delta filters ensure you're trading with the dominant order flow direction
4. Provides context, not just signals - the dashboard helps you understand why a setup is forming
________________________________________
⚙️ Best Practices
Timeframes:
• 5-15 min: Scalping (use 30-50 bar lookback)
• 1-4 hour: Swing trading (use 100-200 bar lookback)
Risk Management:
• Enter on signal candle close
• Stop loss: Beyond nearest HVN/LVN zone
• Target 1: Next LVN level
• Target 2: Opposite value area boundary
Filters:
• Avoid signals during major news events
• Require bar delta strength >65% for aggressive entries
• Wait for delta MA cross confirmation in ranging markets
________________________________________
🚨 Alerts Available
• Long Setup Trigger
• Short Setup Trigger
• Bullish/Bearish Divergence Detection
• Large Buy/Sell Order Execution
________________________________________
📚 Educational Context
This methodology is based on principles used by professional order flow traders:
• Market Profile Theory: Volume distribution reveals fair value
• Tape Reading: Large orders show institutional intent
• Auction Theory: Price seeks areas of liquidity imbalance (LVN zones)
The script automates pattern recognition that discretionary traders spend years learning to identify manually.
________________________________________
⚠️ Disclaimer
This indicator is a trading tool, not a trading system. It identifies high-probability setups based on order flow analysis but requires proper risk management, market context, and trader discretion. Past performance does not guarantee future results.
________________________________________
Version: 6 (Pine Script)
Type: Overlay + Separate Pane (Delta Panel)
Resource Usage: Moderate (500 bars history, 500 lines/boxes)
________________________________________
For questions or support, please comment below. If you find this script valuable, please boost and favorite! 🚀
1. Volume Profile Analysis
The script constructs a horizontal volume profile by:
- Dividing the price range into configurable rows (default: 20)
- Accumulating volume at each price level over a lookback period (default: 50 bars)
- Separating buy volume (green bars close > open) from sell volume (red bars)
- Identifying three critical levels:
- POC (Point of Control): Price level with highest traded volume - acts as a strong magnet
- VAH/VAL (Value Area High/Low): Contains 70% of total volume - defines fair value zone
- HVN (High Volume Nodes): Resistance zones where institutions accumulated positions
- LVN (Low Volume Nodes): Thin zones that price moves through quickly - ideal targets
Why This Matters: Institutional traders leave footprints through volume. HVN zones show where large players defended levels, making them reliable support/resistance.
---
2. Cumulative Delta (Order Flow)
Tracks the running total of buying vs selling pressure:
- **Bar Delta**: Difference between buy and sell volume per candle
- **Cumulative Delta**: Sum of all bar deltas - shows net directional pressure
- **Delta Moving Average**: Smoothed delta (20-period) to identify trend
- **Delta Divergences**:
- **Bullish**: Price makes lower low, but delta makes higher low (absorption at bottom)
- **Bearish**: Price makes higher high, but delta makes lower high (exhaustion at top)
**How It Works**: When cumulative delta trends up while price consolidates, it signals accumulation. Delta divergences reveal when smart money is positioned opposite to retail expectations.
---
### 3. **Large Order Detection**
Identifies **institutional-sized orders** in real-time:
- Compares current bar volume to 20-period moving average
- Flags orders exceeding 2.5x average volume (configurable multiplier)
- Distinguishes bullish (green circles below) vs bearish (red circles above) large orders
**Rationale**: Sudden volume spikes at key levels indicate institutional participation - the "fuel" needed for breakouts or reversals.
---
## 🎯 Trading Signal Logic
### Combined Setup Criteria
The script generates **SHORT** and **LONG** signals when multiple conditions align:
**SHORT Signal Requirements:**
1. Price reaches an HVN resistance zone (within 0.2%)
2. Large sell order detected (volume spike + red candle)
3. Cumulative delta is bearish OR bearish divergence present
4. 10-bar cooldown between signals (prevents overtrading)
**LONG Signal Requirements:**
1. Price reaches an HVN support zone
2. Large buy order detected (volume spike + green candle)
3. Cumulative delta is bullish OR bullish divergence present
4. 10-bar cooldown enforced
---
## 🔧 Customization Options
| Setting | Purpose | Recommendation |
|---------|---------|----------------|
| **Volume Profile Rows** | Granularity of level detection | 20 (balanced) |
| **Lookback Period** | Historical data analyzed | 50 bars (intraday), 200 (swing) |
| **Large Order Multiplier** | Sensitivity to volume spikes | 2.5x (standard), 3.5x (conservative) |
| **HVN Threshold** | Resistance zone detection | 1.3 (default) |
| **LVN Threshold** | Target zone identification | 0.6 (default) |
| **Divergence Lookback** | Pivot detection period | 5 bars (responsive) |
---
## 📈 Dashboard Indicators
The real-time panel displays:
- **POC**: Current Point of Control price
- **Location**: Whether price is at HVN resistance
- **Orders**: Current large buy/sell activity
- **Cumulative Δ**: Net order flow value + trend direction
- **Divergence**: Active bullish/bearish divergences
- **Bar Strength**: % of candle volume that's directional (>65% = strong)
- **SETUP**: Current trade signal (LONG/SHORT/WAIT)
---
## 🎨 Visual System
- **Yellow POC Line**: Highest volume level - primary pivot
- **Blue Value Area Box**: Fair value zone (VAH to VAL)
- **Red HVN Zones**: Resistance/support from institutional accumulation
- **Green LVN Zones**: Low-liquidity targets for quick moves
- **Volume Bars**: Green (buy pressure) vs Red (sell pressure) distribution
- **Triangles**: LONG (green up) and SHORT (red down) entry signals
- **Diamonds**: Divergence warnings (cyan=bullish, fuchsia=bearish)
---
## 💡 How This Script Is Unique
Unlike standalone volume profile or delta indicators, this script:
1. **Synthesizes three complementary methods** - volume structure, order flow momentum, and liquidity detection
2. **Requires multi-factor confirmation** - signals only trigger when price, volume, and delta align at key zones
3. **Adapts to market regime** - delta filters ensure you're trading with the dominant order flow direction
4. **Provides context, not just signals** - the dashboard helps you understand *why* a setup is forming
---
## ⚙️ Best Practices
**Timeframes:**
- 5-15 min: Scalping (use 30-50 bar lookback)
- 1-4 hour: Swing trading (use 100-200 bar lookback)
**Risk Management:**
- Enter on signal candle close
- Stop loss: Beyond nearest HVN/LVN zone
- Target 1: Next LVN level
- Target 2: Opposite value area boundary
**Filters:**
- Avoid signals during major news events
- Require bar delta strength >65% for aggressive entries
- Wait for delta MA cross confirmation in ranging markets
---
## 🚨 Alerts Available
- Long Setup Trigger
- Short Setup Trigger
- Bullish/Bearish Divergence Detection
- Large Buy/Sell Order Execution
---
## 📚 Educational Context
This methodology is based on principles used by professional order flow traders:
- **Market Profile Theory**: Volume distribution reveals fair value
- **Tape Reading**: Large orders show institutional intent
- **Auction Theory**: Price seeks areas of liquidity imbalance (LVN zones)
The script automates pattern recognition that discretionary traders spend years learning to identify manually.
---
## ⚠️ Disclaimer
This indicator is a **trading tool, not a trading system**. It identifies high-probability setups based on order flow analysis but requires proper risk management, market context, and trader discretion. Past performance does not guarantee future results.
---
**Version**: 6 (Pine Script)
**Type**: Overlay + Separate Pane (Delta Panel)
**Resource Usage**: Moderate (500 bars history, 500 lines/boxes)
---
*For questions or support, please comment below. If you find this script valuable, please boost and favorite!* 🚀
Bitcoin CME gaps multi-timeframe auto finder1. Overview
The Bitcoin CME Gap Multi-Timeframe Detector automatically identifies price gaps in the Bitcoin CME (Chicago Mercantile Exchange) futures market and visually displays them on the TradingView chart.
Because the CME futures market closes for about an hour after each weekday session and remains closed over the weekend, price gaps frequently appear when trading resumes on Monday.
This indicator analyzes gaps across six major timeframes, from 5-minute to 1-day charts, allowing traders to easily identify structural imbalances and potential support/resistance zones.
It is the most accurate and feature-rich CME gaps indicator available on TradingView.
2. Key Features
■ Multi-Timeframe Gap Detection
Analyzes 5m, 15m, 30m, 1h, 4h, and 1D charts simultaneously.
This enables traders to observe both short-term volatility and mid-to-long-term structure, providing a multi-dimensional view of market dynamics.
■ Gap Direction Classification
Up Gap: When the next candle’s open is higher than the previous candle’s high (default color: green tone)
Down Gap: When the next candle’s open is lower than the previous candle’s low (default color: red tone)
Gaps are color-coded to intuitively visualize potential support and resistance zones.
■ Highlight Function
Gaps exceeding a user-defined threshold (%) are highlighted (default color: yellow).
This helps quickly identify zones with abnormal volatility or sharp price dislocations.
■ Labels and Box Extension
Each gap displays a percentage label indicating its relative size and significance.
Gap zones are extended to the right as boxes, allowing traders to visually track when and how the gap gets filled over time.
■ Alert System
When a gap forms on the selected timeframe (or across all timeframes), a TradingView alert is triggered.
This enables real-time response to significant gap events.
3. Trading Strategies
■ Gap Fill Behavior
CME gaps statistically tend to get filled over time.
Gap boxes help distinguish between filled and unfilled gaps at a glance.
Up Gap: Price tends to decline to fill the previous high–next open zone.
Down Gap: Price often rises later to fill the previous low–next open zone.
■ Support & Resistance Levels
Gap zones frequently act as strong support or resistance.
When price retests a gap area, observing the reaction of buyers and sellers can provide valuable trading insights.
Overlapping gap boxes across multiple timeframes indicate high-confidence support/resistance zones.
■ Market Sentiment & Volatility Analysis
Large gaps usually result from shifts in market sentiment or major news events.
This indicator allows traders to detect volatility spikes early and prepare for potential trend reversals.
■ Combination with Other Technical Tools
While fully functional on its own, this indicator works even better when combined with tools like moving averages (MA), RSI, MACD, or Fibonacci retracements.
For example, if the bottom of a gap coincides with the 0.618 Fibonacci level, it may signal a strong rebound zone.
4. Settings Options
Minimum Gap % | Sets the minimum percentage movement required to detect a gap (lower values show smaller gaps)
Display Timeframes | Choose which timeframes to display (5m, 15m, 30m, 1h, 4h, 1D)
Box Colors | Assign colors for up and down gaps
Box Extension (Bars) | Number of bars to extend gap boxes to the right
Show Labels | Toggle display of gap percentage labels
Label Position / Size | Adjust label position and size
Highlight Gap ≥ % | Highlight gaps exceeding a specified percentage
Highlight Colors | Set highlight color for labels and boxes
Enable Alerts | Enable or disable alerts
Alert Timeframe | Select timeframe(s) for alerts (“All” = all timeframes)
5. Summary
This indicator is a professional trading tool that provides quantitative and visual analysis of price gaps in the Bitcoin CME futures market.
By combining multi-timeframe detection, highlighting, and alert systems, it helps traders clearly identify zones of market imbalance and potential reversal areas.
JK_Traders_Reality_LibLibrary "JK_Traders_Reality_Lib"
This library contains common elements used in Traders Reality scripts
calcPvsra(pvsraVolume, pvsraHigh, pvsraLow, pvsraClose, pvsraOpen, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor, darkGreyCandleColor, lightGrayCandleColor)
calculate the pvsra candle color and return the color as well as an alert if a vector candle has apperared.
Situation "Climax"
Bars with volume >= 200% of the average volume of the 10 previous chart TFs, or bars
where the product of candle spread x candle volume is >= the highest for the 10 previous
chart time TFs.
Default Colors: Bull bars are green and bear bars are red.
Situation "Volume Rising Above Average"
Bars with volume >= 150% of the average volume of the 10 previous chart TFs.
Default Colors: Bull bars are blue and bear are violet.
Parameters:
pvsraVolume (float) : the instrument volume series (obtained from request.sequrity)
pvsraHigh (float) : the instrument high series (obtained from request.sequrity)
pvsraLow (float) : the instrument low series (obtained from request.sequrity)
pvsraClose (float) : the instrument close series (obtained from request.sequrity)
pvsraOpen (float) : the instrument open series (obtained from request.sequrity)
redVectorColor (simple color) : red vector candle color
greenVectorColor (simple color) : green vector candle color
violetVectorColor (simple color) : violet/pink vector candle color
blueVectorColor (simple color) : blue vector candle color
darkGreyCandleColor (simple color) : regular volume candle down candle color - not a vector
lightGrayCandleColor (simple color) : regular volume candle up candle color - not a vector
@return
adr(length, barsBack)
Parameters:
length (simple int) : how many elements of the series to calculate on
barsBack (simple int) : starting possition for the length calculation - current bar or some other value eg last bar
@return adr the adr for the specified lenght
adrHigh(adr, fromDo)
Calculate the ADR high given an ADR
Parameters:
adr (float) : the adr
fromDo (simple bool) : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight
@return adrHigh the position of the adr high in price
adrLow(adr, fromDo)
Parameters:
adr (float) : the adr
fromDo (simple bool) : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight
@return adrLow the position of the adr low in price
splitSessionString(sessXTime)
given a session in the format 0000-0100:23456 split out the hours and minutes
Parameters:
sessXTime (simple string) : the session time string usually in the format 0000-0100:23456
@return
calcSessionStartEnd(sessXTime, gmt)
calculate the start and end timestamps of the session
Parameters:
sessXTime (simple string) : the session time string usually in the format 0000-0100:23456
gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc
@return
drawOpenRange(sessXTime, sessXcol, showOrX, gmt)
draw open range for a session
Parameters:
sessXTime (simple string) : session string in the format 0000-0100:23456
sessXcol (simple color) : the color to be used for the opening range box shading
showOrX (simple bool) : boolean flag to toggle displaying the opening range
gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc
@return void
drawSessionHiLo(sessXTime, showRectangleX, showLabelX, sessXcolLabel, sessXLabel, gmt, sessionLineStyle)
Parameters:
sessXTime (simple string) : session string in the format 0000-0100:23456
showRectangleX (simple bool)
showLabelX (simple bool)
sessXcolLabel (simple color) : the color to be used for the hi/low lines and label
sessXLabel (simple string) : the session label text
gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc
sessionLineStyle (simple string) : the line stile for the session high low lines
@return void
calcDst()
calculate market session dst on/off flags
@return indicating if DST is on or off for a particular region
timestampPreviousDayOfWeek(previousDayOfWeek, hourOfDay, gmtOffset, oneWeekMillis)
Timestamp any of the 6 previous days in the week (such as last Wednesday at 21 hours GMT)
Parameters:
previousDayOfWeek (simple string) : Monday or Satruday
hourOfDay (simple int) : the hour of the day when psy calc is to start
gmtOffset (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc
oneWeekMillis (simple int) : the amount if time for a week in milliseconds
@return the timestamp of the psy level calculation start time
getdayOpen()
get the daily open - basically exchange midnight
@return the daily open value which is float price
newBar(res)
new_bar: check if we're on a new bar within the session in a given resolution
Parameters:
res (simple string) : the desired resolution
@return true/false is a new bar for the session has started
toPips(val)
to_pips Convert value to pips
Parameters:
val (float) : the value to convert to pips
@return the value in pips
rLabel(ry, rtext, rstyle, rcolor, valid, labelXOffset)
a function that draws a right aligned lable for a series during the current bar
Parameters:
ry (float) : series float the y coordinate of the lable
rtext (simple string) : the text of the label
rstyle (simple string) : the style for the lable
rcolor (simple color) : the color for the label
valid (simple bool) : a boolean flag that allows for turning on or off a lable
labelXOffset (int) : how much to offset the label from the current position
rLabelOffset(ry, rtext, rstyle, rcolor, valid, labelOffset)
a function that draws a right aligned lable for a series during the current bar
Parameters:
ry (float) : series float the y coordinate of the lable
rtext (string) : the text of the label
rstyle (simple string) : the style for the lable
rcolor (simple color) : the color for the label
valid (simple bool) : a boolean flag that allows for turning on or off a lable
labelOffset (int)
rLabelLastBar(ry, rtext, rstyle, rcolor, valid, labelXOffset)
a function that draws a right aligned lable for a series only on the last bar
Parameters:
ry (float) : series float the y coordinate of the lable
rtext (string) : the text of the label
rstyle (simple string) : the style for the lable
rcolor (simple color) : the color for the label
valid (simple bool) : a boolean flag that allows for turning on or off a lable
labelXOffset (int) : how much to offset the label from the current position
drawLine(xSeries, res, tag, xColor, xStyle, xWidth, xExtend, isLabelValid, xLabelOffset, validTimeFrame)
a function that draws a line and a label for a series
Parameters:
xSeries (float) : series float the y coordinate of the line/label
res (simple string) : the desired resolution controlling when a new line will start
tag (simple string) : the text for the lable
xColor (simple color) : the color for the label
xStyle (simple string) : the style for the line
xWidth (simple int) : the width of the line
xExtend (simple string) : extend the line
isLabelValid (simple bool) : a boolean flag that allows for turning on or off a label
xLabelOffset (int)
validTimeFrame (simple bool) : a boolean flag that allows for turning on or off a line drawn
drawLineDO(xSeries, res, tag, xColor, xStyle, xWidth, xExtend, isLabelValid, xLabelOffset, validTimeFrame)
a function that draws a line and a label for the daily open series
Parameters:
xSeries (float) : series float the y coordinate of the line/label
res (simple string) : the desired resolution controlling when a new line will start
tag (simple string) : the text for the lable
xColor (simple color) : the color for the label
xStyle (simple string) : the style for the line
xWidth (simple int) : the width of the line
xExtend (simple string) : extend the line
isLabelValid (simple bool) : a boolean flag that allows for turning on or off a label
xLabelOffset (int)
validTimeFrame (simple bool) : a boolean flag that allows for turning on or off a line drawn
drawPivot(pivotLevel, res, tag, pivotColor, pivotLabelColor, pivotStyle, pivotWidth, pivotExtend, isLabelValid, validTimeFrame, levelStart, pivotLabelXOffset)
draw a pivot line - the line starts one day into the past
Parameters:
pivotLevel (float) : series of the pivot point
res (simple string) : the desired resolution
tag (simple string) : the text to appear
pivotColor (simple color) : the color of the line
pivotLabelColor (simple color) : the color of the label
pivotStyle (simple string) : the line style
pivotWidth (simple int) : the line width
pivotExtend (simple string) : extend the line
isLabelValid (simple bool) : boolean param allows to turn label on and off
validTimeFrame (simple bool) : only draw the line and label at a valid timeframe
levelStart (int) : basically when to start drawing the levels
pivotLabelXOffset (int) : how much to offset the label from its current postion
@return the pivot line series
getPvsraFlagByColor(pvsraColor, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor, lightGrayCandleColor)
convert the pvsra color to an internal code
Parameters:
pvsraColor (color) : the calculated pvsra color
redVectorColor (simple color) : the user defined red vector color
greenVectorColor (simple color) : the user defined green vector color
violetVectorColor (simple color) : the user defined violet vector color
blueVectorColor (simple color) : the user defined blue vector color
lightGrayCandleColor (simple color) : the user defined regular up candle color
@return pvsra internal code
updateZones(pvsra, direction, boxArr, maxlevels, pvsraHigh, pvsraLow, pvsraOpen, pvsraClose, transperancy, zoneupdatetype, zonecolor, zonetype, borderwidth, coloroverride, redVectorColor, greenVectorColor, violetVectorColor, blueVectorColor)
a function that draws the unrecovered vector candle zones
Parameters:
pvsra (int) : internal code
direction (simple int) : above or below the current pa
boxArr (array) : the array containing the boxes that need to be updated
maxlevels (simple int) : the maximum number of boxes to draw
pvsraHigh (float) : the pvsra high value series
pvsraLow (float) : the pvsra low value series
pvsraOpen (float) : the pvsra open value series
pvsraClose (float) : the pvsra close value series
transperancy (simple int) : the transparencfy of the vecor candle zones
zoneupdatetype (simple string) : the zone update type
zonecolor (simple color) : the zone color if overriden
zonetype (simple string) : the zone type
borderwidth (simple int) : the width of the border
coloroverride (simple bool) : if the color overriden
redVectorColor (simple color) : the user defined red vector color
greenVectorColor (simple color) : the user defined green vector color
violetVectorColor (simple color) : the user defined violet vector color
blueVectorColor (simple color) : the user defined blue vector color
cleanarr(arr)
clean an array from na values
Parameters:
arr (array) : the array to clean
@return if the array was cleaned
calcPsyLevels(oneWeekMillis, showPsylevels, psyType, sydDST)
calculate the psy levels
4 hour res based on how mt4 does it
mt4 code
int Li_4 = iBarShift(NULL, PERIOD_H4, iTime(NULL, PERIOD_W1, Li_0)) - 2 - Offset;
ObjectCreate("PsychHi", OBJ_TREND, 0, Time , iHigh(NULL, PERIOD_H4, iHighest(NULL, PERIOD_H4, MODE_HIGH, 2, Li_4)), iTime(NULL, PERIOD_W1, 0), iHigh(NULL, PERIOD_H4,
iHighest(NULL, PERIOD_H4, MODE_HIGH, 2, Li_4)));
so basically because the session is 8 hours and we are looking at a 4 hour resolution we only need to take the highest high an lowest low of 2 bars
we use the gmt offset to adjust the 0000-0800 session to Sydney open which is at 2100 during dst and at 2200 otherwize. (dst - spring foward, fall back)
keep in mind sydney is in the souther hemisphere so dst is oposite of when london and new york go into dst
Parameters:
oneWeekMillis (simple int) : a constant value
showPsylevels (simple bool) : should psy levels be calculated
psyType (simple string) : the type of Psylevels - crypto or forex
sydDST (bool) : is Sydney in DST
@return
adrHiLo(length, barsBack, fromDO)
Parameters:
length (simple int) : how many elements of the series to calculate on
barsBack (simple int) : starting possition for the length calculation - current bar or some other value eg last bar
fromDO (simple bool) : boolean flag, if false calculate traditional adr from high low of today, if true calcualte from exchange midnight
@return adr, adrLow and adrHigh - the adr, the position of the adr High and adr Low with respect to price
drawSessionHiloLite(sessXTime, showRectangleX, showLabelX, sessXcolLabel, sessXLabel, gmt, sessionLineStyle, sessXcol)
Parameters:
sessXTime (simple string) : session string in the format 0000-0100:23456
showRectangleX (simple bool)
showLabelX (simple bool)
sessXcolLabel (simple color) : the color to be used for the hi/low lines and label
sessXLabel (simple string) : the session label text
gmt (simple string) : the gmt offset string usually in the format GMT+1 or GMT+2 etc
sessionLineStyle (simple string) : the line stile for the session high low lines
sessXcol (simple color) : - the color for the box color that will color the session
@return void
msToHmsString(ms)
converts milliseconds into an hh:mm string. For example, 61000 ms to '0:01:01'
Parameters:
ms (int) : - the milliseconds to convert to hh:mm
@return string - the converted hh:mm string
countdownString(openToday, closeToday, showMarketsWeekends, oneDay)
that calculates how much time is left until the next session taking the session start and end times into account. Note this function does not work on intraday sessions.
Parameters:
openToday (int) : - timestamps of when the session opens in general - note its a series because the timestamp was created using the dst flag which is a series itself thus producing a timestamp series
closeToday (int) : - timestamp of when the session closes in general - note its a series because the timestamp was created using the dst flag which is a series itself thus producing a timestamp series
@return a countdown of when next the session opens or 'Open' if the session is open now
showMarketsWeekends (simple bool)
oneDay (simple int)
countdownStringSyd(sydOpenToday, sydCloseToday, showMarketsWeekends, oneDay)
that calculates how much time is left until the next session taking the session start and end times into account. special case of intraday sessions like sydney
Parameters:
sydOpenToday (int)
sydCloseToday (int)
showMarketsWeekends (simple bool)
oneDay (simple int)
cd_VWAP_mtg_CxCd_VWAP_mtg_Cx
Overview
The most important condition for being successful and profitable in the market is to consistently follow the same rules without compromise, while the price constantly moves in countless different ways.
Regardless of the concept or trading school, those who have rules win.
In this indicator, we will define and use three main sections to set and apply our rules.
The indicator uses the VWAP (Volume Weighted Average Price) — price weighted by volume.
Two VWAPs can be displayed either by manually entering date and time, or by selecting from the menu.
From the menu, you can select the following reference levels:
• HTF Open: Opening candle of the higher timeframe
• ATH / ATL: All-Time High / All-Time Low candles
• PMH / PML, PWH / PWL, PDH / PDL, PH4H / PH4L: Previous Month, Week, Day, or H4 Highs/Lows
• MH / ML, WH / WL, DH / DL, H4H / H4L: Current Month, Week, Day, or H4 Highs/Lows
Additionally, it includes:
• Mitigation / Order Block zones (local buyer-seller balance) across two timeframes.
• Buy/Sell Side Liquidity levels (BSL / SSL) from the aligned higher timeframe (target levels).
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Components and Usage
1 – VWAP
Calculated using the classical method:
• High + Volume for the upper value
• Close + Volume for the middle value
• Low + Volume for the lower value
The VWAP is displayed as a colored band, where the coloring represents the bias.
Let’s call this band FVB (Fair Value Band) for ease of explanation.
The FVB represents the final line of defense, the buyer/seller boundary, and in technical terms, it can be viewed as premium/discount zones or support/resistance levels.
Within this critical area, the strong side continues its move, while the weaker side is forced to retreat.
But does the side that breaks beyond the band always keep going?
We all know that’s not always the case — in different pairs and timeframes, price often violates both the upper and lower edges multiple times.
To achieve more consistent analysis, we’ll define a new set of rules.
________________________________________
2 – Mitigation / Order Blocks
In trading literature, there are dozens of different definitions and uses of mitigation or order blocks.
Here, we will interpret the candlesticks to create our own definition, and we’ll use the zones defined by candles that fit this pattern.
For simplicity, let’s abbreviate mitigation as “mtg.”
For a candle to be selected as an mtg, it must clearly show strength from one side (buyers or sellers) — which can also be observed visually on the chart.
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Bullish mtg criteria:
1. The first candle must be bullish (close > open) → buyers are strong.
2. The next candle makes a new high (buyers push higher) but fails to close above and pulls back to close inside the previous range → sellers react.
It also must not break the previous low → buyers defend.
3. In the following candle(s), as long as the first candle’s low is protected and the second candle’s high is broken, it indicates buyer strength → a bullish mtg is confirmed.
When price returns to this zone later (gets mitigated), the expectation is that the zone holds and price pushes upward again.
If the low is violated, the mtg becomes invalid.
In technical terms:
If the previous candle’s high is broken but no close occurs above it, the expectation is a reversal move that will retest its low.
Question:
What if the low is protected and in the next candle(s) a new high forms?
Answer: → Bullish mtg.
Bearish mtg (opposite)
3 – Buy/Sell Side Liquidity Levels
With the help of the aligned higher timeframe (swing points), we will define our market structure framework and set our liquidity targets accordingly.
Let’s put the pieces together.
If we continue explaining from a trade-focused perspective, our first priority should be our bias — our projection or expectation of the market’s potential movement.
We will determine this bias using the FVB.
Since we know the band often gets violated on both sides, we want the price action to convince us of its strength.
To do that, we’ll use the first candle that closes beyond the band.
The distance from that candle’s high to low will be our threshold range
Bullish level = high + (candle length × coefficient)
Bearish level = low - (candle length × coefficient)
When the price closes beyond this threshold, it demonstrates strength, and our bias will now align in that direction.
How long will this bias remain valid?
→ Until a closing candle appears on the opposite side of the band.
If a close occurs on the opposite side, then a new bias will only be confirmed once the new threshold level is broken.
During the period in between, we have no bias.
Let’s continue on the chart:
Now that our bias has been established, where and how do we look for trade opportunities?
There are two possible entry approaches:
• Aggressive entry: Enter immediately with the breakout.
• Conservative entry: Wait for a pullback and enter once a suitable structure forms.
(The choice depends on the user’s preference.)
At this stage, the user can apply their own entry model. Let’s give an example:
Let’s assume we’re looking for setups using HTF sweep + LTF CISD confirmation.
Once our bias turns bearish, we look for an HTF sweep forming on or near an FVB or mtg block, and then confirm the entry with a CISD signal.
In summary:
• FVB defines the bias, the entry zone, and the target zone.
• Mtg blocks represent entry zones.
• BSL / SSL levels suggest target zones.
Overlapping FVB and mtg blocks are expected to be more effective.
The indicator also provides an option for a second FVB.
A band attached to a lower timeframe can be used as confirmation.
• Main band: Bias + FVB
• Extra band: Entry trigger confirmed by a close beyond it.
Mtg blocks can provide trade entry opportunities, especially when the price is moving strongly in one direction (flow).
Consecutive or complementary mtg blocks indicate that the price is decisive in one direction, while sometimes also showing areas where we should wait before entering.
Mtg blocks that contain an FVG (Fair Value Gap) within their body are expected to be more effective.
Settings:
The default values are set to 1-3-5m, optimized for scalping trades.
VWAP settings:
Main VWAP (FVB):
• Can be set by selecting a start time, manually entering date and time, or choosing a predefined level.
Extra VWAP (FVB):
• Set from the menu. If not needed, select “none.”
• Visibility, color, and fill settings for VWAP are located here.
• Threshold levels visibility and color options are also in this section.
• The multiplier is used for calculating the threshold level.
Important:
• If the Extra VWAP is selected but not displayed, you need to increase the chart timeframe.
o Example: If the chart is on 3m and you select WH from the extra options, it will not display correctly.
• Upper limits for VWAP:
o 1m and 3m charts: daily High/Low
o 5m chart: weekly High/Low
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Mtg Settings:
• Visibility and color settings for blocks are configured here.
• To display on a second timeframe, the box must be checked and the timeframe specified.
• Optional display modes: “only active blocks,” “only last violated mtg,” or “all.”
• For confirmation and removal criteria, choosing high/low or close determines the source used for mtg block formation and deletion conditions.
BSL/SSL Settings:
• Visibility, color, font size, and line style can be configured in this section.
When “Auto” is selected, the aligned timeframe is determined automatically by the indicator, while in manual mode, the user defines the timeframe.
Final Words:
Simply opening trades every time the price touches the VWAP or mtg blocks will not make you a profitable trader. Searching for setups with similar structures while maintaining proper risk management will yield better results in the long run.
I would be happy to hear your feedback and suggestions.
Happy trading!
Rolling Midpoint of Price & VWAP with ATR BandsThe Rolling Midpoint of Price & VWAP with ATR Bands indicator is a dual-equilibrium concept that fuses price-range structure and traded-volume flow into one continuously updating hybrid model. Traditional VWAPs reset each session and reflect where trading occurred by volume, while midpoints used here reveal where price has structurally balanced between extremes. This script merges both ideas into a cohesive, dynamic system. The Rolling Price Midpoint (50 % of range) represents the structural fair-value line, calculated as the average of the highest high and lowest low over a selected window. The Rolling VWAP (Volume-Weighted Window) tracks the flow-based fair-value line by weighting each bar’s typical price by its volume. Together, these components form the Hybrid Equilibrium — the adaptive center of gravity that shifts as price and volume evolve. Surrounding this equilibrium, ATR Bands at ± 2.226 ATR and ± 5.382 ATR define volatility envelopes that expand and contract with market energy. The result is a living cloud that breathes with the market: compressing during phases of balance and widening during impulsive movements, offering traders a clear visual framework for understanding equilibrium, volatility, and directional bias in real time.
➖
⚙️ Auto-Preset System
The Auto-Preset System intelligently adjusts lookback windows for both the Price Midpoint and VWAP calculations according to the active chart timeframe.
This ensures that the indicator automatically adapts to any trading style — from scalping on 1-minute charts to swing trading on daily or weekly charts — without manual tuning.
🔹 How It Works
When Auto-Preset mode is enabled, the script dynamically selects the most effective lookback lengths for each timeframe.
These presets are optimized to balance responsiveness and stability, maintaining consistent real-world coverage (e.g., the same approximate duration of price data) across all intervals.
📊 Preset Mapping Table
| Chart Timeframe | Price Midpoint Lookback | VWAP Lookback |
|:----------------:|:-----------------------:|:--------------:|
| 1–3m | 13 bars | 21 bars
| 5–10m | 21 bars | 34 bars
| 15–30m | 34 bars | 55 bars
| 1–2 hr | 55 bars | 89 bars
| 4 hr-1D | 89 bars | 144 bars
| 1W | 144 bars | 233 bars
| 1M | 233 bars | 377 bars
⚡ Notes & Customization
- Manual Override: Turn off Auto-Preset Mode to specify your own custom lookback lengths.
- Consistency Across Scales: These adaptive values keep the indicator visually coherent when switching between timeframes — avoiding distortions that can occur with static lengths.
- Practical Benefit: Traders can maintain a single chart layout that self-tunes seamlessly, removing the need to manually recalibrate settings when shifting from short-term to long-term analysis.
In short, the Auto-Preset System is designed to make this hybrid equilibrium tool timeframe-aware — automatically scaling its logic so that the cloud behaves consistently, regardless of chart resolution.
➖
🌐 Hybrid Equilibrium Envelope
The core hybrid midpoint acts as the mean of structural (price) and volumetric (VWAP) balance.
ATR-based bands project natural expansion zones:
🔸+2.226 / –2.226 ATR → inner equilibrium (controlled trend)
*🔸+5.382 / –5.382 ATR → outer volatility extension (over-stretch / reversion zones)
Color-coded fills show regime strength:
* 🟧 Upper Outer (+5.382) – strong bullish expansion
* 🟩 Upper Inner (+2.226) – trending equilibrium
* 🔴 Lower Inner (–2.226) – mild bearish control
* 🟣 Lower Outer (–5.382) – volatility exhaustion
➖
🧭 Higher-Timeframe Framework
Two macro anchors — Price length of 144 and VWAP length of 233 — outline higher-timeframe bias zones. These help confirm when local momentum aligns with (or fades against) long-term structure.
Labels on the right show active lookback values for quick readout:
`$(13) V(21)` → current rolling pair
`$144 / V233` → macro anchors
➖
🧩 Chart Examples
**AMD 15m (Equilibrium Expansion)**
Price steadily rides above the hybrid midpoint as teal and orange (bullish) ATR zones widen, confirming a phase of controlled bullish volatility and healthy trend expansion.
BTCUSD 1m (Volatility Compression)
Bitcoin coils tightly inside the teal-to-maroon equilibrium bands before breaking out.
The hybrid midpoint flattens and ATR envelopes contract, signaling a state of balance before volatility expansion.
ETHUSD 15m (Transition from Compression → Impulse)
Ethereum transitions from purple-zone compression into a clear upper-band expansion.
The hybrid midpoint breaks above the macro VWAP 233, confirming the shift from equilibrium to directional momentum.
SOFI 1m (Micro Bias Reversal)
SOFI’s intraday structure flips as price reclaims the hybrid midpoint.
The macro VWAP 233 flattens, signaling a transition from oversold lower bands back toward equilibrium and early trend recovery.
➖
🎯 How to Use
1. Bias Detection – Price > Hybrid Midpoint → bullish; < → bearish.
2. Volatility Gauge – Watch band spacing for compression / expansion cycles.
3. Confluence Checks – Align Hybrid Midpoint with HTF 233 VWAP for strong continuation signals.
4. Mean Reversion Zones – Outer bands highlight areas where probability of snap-back increases.
➖
🔧 Inputs & Customization
Auto Presets toggle
🔸Manual Lookback Overrides** for fine-tuning
🔸Plot Window Length** (show recent vs full history)
🔸ATR Sensitivity & Fill Opacity** controls
🔸Label Padding / Font Size** for cleaner overlay visuals
➖
🧮 Formula Highlights
➖Rolling Midpoint = (highest(high,N) + lowest(low,N)) / 2
➖Rolling VWAP = Σ(Typical Price×Vol) / Σ(Vol)
➖Hybrid = (PriceMid + VWAP) / 2
➖Upper₂ = Hybrid + ATR×2.226
➖Lower₂ = Hybrid − ATR×2.226
➖Upper₅ = Hybrid + ATR×5.382
➖Lower₅ = Hybrid − ATR×5.382
➖
🎯 Ideal For
➡️ Traders who want adaptive fair-value zones that evolve with both price and volume.
➡️ Analysts who shift between scalping, swing, and position timeframes, and need a tool that self-adjusts.
➡️ Those who rely on visual structure clarity to confirm setups across changing volatility conditions.
➡️ Anyone seeking a hybrid model that unites structural range logic (midpoint) and flow-based balance (VWAP).
➖
🏁 Final Word
This script is more than a visual overlay — it’s a complete trend and structure framework built to adapt with market rhythm. It helps traders visualize equilibrium, momentum, and volatility as one cohesive system. Whether you’re seeking clean trend alignment, dynamic support/resistance, or early warning signs of reversals, this indicator is tuned to help you react with confidence — not hindsight.
➖
Remember — no single indicator should ever stand alone. For best results, pair it with price action context, higher-timeframe structure, and complementary tools such as moving averages or trendlines. Use it to confirm setups, not define them in isolation.
💡 Turn logic into clarity, structure into trades, and uncertainty into confidence.
DZ/SZ - HFM by MamaRight-Empty Wick Zones (MTF) draws Supply/Demand zones from the remaining wick of adjacent opposite-color candles (Classic & Non-classic rules). Zones extend right only through empty space and stop at the first touching candle. Multi-TF scan (H1/H4/1D/1W/1M) with TF-colored boxes and labels showing Demand/Supply + H/L.
Demand (red → green, adjacent):
Classic: if the red candle’s lower wick is longer than the green’s → zone = (the “excess” red wick).
Non-classic: if the red’s lower wick is shorter or equal → zone = (use the longer green wick).
Supply (green → red, adjacent):
Classic: if the green candle’s upper wick is longer than the red’s → zone = (the “excess” green wick).
Non-classic: if the green’s upper wick is shorter or equal → zone = (use the longer red wick).
After a zone is created, the box extends right and terminates at the very first bar whose price range (body or wick) overlaps the zone → ensures the plotted area is genuinely right-empty.
What you see
Zone boxes with distinct colors per timeframe (e.g., H1/H4/1D/1W/1M).
Optional labels on each box: H4 Demand / H1 Supply, plus H/L prices of the zone.
Labels can sit at the left edge or follow the right edge of the box.
Inputs
Toggles: Demand Classic / Demand Non-classic / Supply Classic / Supply Non-classic.
Timeframes to scan: H1, H4, 1D, 1W, 1M.
Min zone thickness (price): minimum height of a zone (in price units).
Initial right extension (bars): initial box length; the script auto-cuts at the first touch.
Show labels / place labels at the right edge.
How to use (suggestion)
Use higher TF (e.g., 1D) for bias and lower TFs (H1/H4) for execution zones.
Keep only the rule set (Classic/Non-classic) that matches your playbook.
Treat zones as areas of interest—wait for your own confirmations (e.g., swing rejection, wick re-entry, structure shift, volume cues) and manage risk accordingly.
Notes
Because zones are sourced from higher TFs via request.security, the drawing can update intrabar; a zone is final once the source TF bar closes.
Min zone thickness uses price units (e.g., on XAUUSD, 1.00 ≈ $1).
This tool is an analytical aid, not financial advice or an entry/exit signal.
อินดิเคเตอร์ DZ/SZ - HFM by Mama ใช้หา Demand/Supply zone จาก “ไส้ที่เหลือ” ของ คู่แท่งสีตรงข้ามที่ติดกัน แล้ววาดเป็นกล่อง ยืดไปทางขวาเฉพาะช่วงที่ว่าง และ หยุดตรงแท่งแรกที่เข้ามาแตะโซน รองรับหลาย Timeframe (H1/H4/1D/1W/1M) พร้อมสีแยก TF และป้ายกำกับ Demand/Supply + H/L ของโซน
รายละเอียดการทำงาน (ไทย)
แนวคิดหลัก
Demand: เลือกคู่ แดง→เขียว ที่ “ติดกัน”
Classic: ถ้า ไส้ล่าง ของแท่งแดงยาวกว่าแท่งเขียว → โซน =
Non-classic: ถ้า ไส้ล่าง ของแท่งแดงสั้นกว่าหรือเท่าเขียว → โซน =
Supply: เลือกคู่ เขียว→แดง ที่ “ติดกัน”
Classic: ถ้า ไส้บน ของแท่งเขียวยาวกว่าแท่งแดง → โซน =
Non-classic: ถ้า ไส้บน ของแท่งเขียวสั้นกว่าหรือเท่าแดง → โซน =
เมื่อสร้างโซนแล้ว กล่องจะ ยืดทางขวา ไปเรื่อย ๆ และ หยุดทันทีเมื่อมีแท่งแรกที่ช่วงราคา (ไส้หรือตัวแท่ง) ทับซ้อนกับโซน ⇒ ได้ “พื้นที่ขวาว่าง” ตามโจทย์
สิ่งที่แสดงบนกราฟ
กล่องโซนสีตาม Timeframe (เช่น H1=ฟ้า, H4=เขียว, 1D=ส้ม, 1W=ม่วง, 1M=เทา)
Label ที่มุมกล่อง: H4 Demand / H1 Supply + ราคาของ High/Low ของโซน
(เลือกวาง ซ้าย หรือ ขอบขวา ของกล่องได้ในตั้งค่า)
ตัวเลือกสำคัญใน Settings
เปิด/ปิด: Demand Classic / Demand Non-classic / Supply Classic / Supply Non-classic
เลือก TF ที่จะสแกน: H1, H4, 1D, 1W, 1M
Min zone thickness (price): กำหนด “ความหนา” ขั้นต่ำของโซน (หน่วยเป็นราคา เช่น XAUUSD = ดอลลาร์)
Initial right extension (bars): ความยาวยืดเริ่มต้น (อินดี้จะตัดให้สั้นลงเองเมื่อมีแท่งมาแตะ)
แสดง Label บนโซน และ วาง Label ที่ขอบขวากล่อง
วิธีใช้แนะนำ
เลือก TF ที่ต้องการ (เช่น ให้ H1/H4 เป็นโซนเทรดละเอียด และ 1D ใช้กรองทิศ)
เปิดเฉพาะโหมด (Classic/Non-classic) ที่ตรงกับแนวคิดการเทรดของคุณ
ใช้โซนเป็นบริเวณ “สนใจ” แล้วรอพฤติกรรมราคา/สัญญาณยืนยันเสริม (เช่น สวิงกลับ, rejection wick, โวลลุ่ม, หรือโครงสร้างจบคลื่น)
หมายเหตุสำคัญ
อินดี้ใช้ข้อมูลข้าม TF; สัญญาณจาก TF สูง อาจเปลี่ยนระหว่างแท่งยังไม่ปิด (ลักษณะ intrabar update) โซนจะ “นิ่ง” เมื่อแท่งของ TF ต้นทาง ปิดแล้ว
หน่วยของ Min zone thickness เป็น หน่วยราคา ไม่ใช่ pips (XAUUSD: 1.00 = $1)
อินดี้ไม่ได้ให้สัญญาณเข้า–ออกอัตโนมัติ ควรใช้ร่วมกับแผนเทรดและการจัดการความเสี่ยง
Multipower Entry SecretMultipower Entry Secret indicator is designed to be the ultimate trading companion for traders of all skill levels—especially those who struggle with decision-making due to unclear or overwhelming signals. Unlike conventional trading systems cluttered with too many lines and confusing alerts, this indicator provides a clear, adaptive, and actionable guide for market entries and exits.
Key Points:
Clear Buy/Sell/Wait Signals:
The script dynamically analyzes price action, candle patterns, volume, trend strength, and higher time frame context. This means it gives you “Buy,” “Sell,” or “Wait” signals based on real, meaningful market information—filtering out the noise and weak trades.
Multi-Timeframe Adaptive Analysis:
It synchronizes signals between higher and current timeframes, ensuring you get the most reliable direction—reducing the risk of getting caught in fake moves or sudden reversals.
Automatic Support, Resistance & Liquidity Zones:
Key levels like support, resistance, and liquidity zones are auto-detected and displayed directly on the chart, helping you make precise decisions without manual drawing.
Real-Time Dashboard:
All relevant information, such as trend strength, market intent, volume sentiment, and the reason behind each signal, is neatly summarized in a dashboard—making monitoring effortless and intuitive.
Customizable & Beginner-Friendly:
Whether you’re a newcomer wanting straightforward guidance or a professional needing advanced customization, the indicator offers flexible options to adjust analysis depth, timeframes, sensitivity, and more.
Visual & Clutter-Free:
The design ensures that your chart remains clean and readable, showing only the most important information. This minimizes mental overload and allows for instant decision-making.
Who Will Benefit?
Beginners who want to learn trading logic, avoid common traps, and see the exact reason behind every signal.
Advanced traders who require adaptive multi-timeframe analytics, fast execution, and stress-free monitoring.
Anyone who wants to save screen time, reduce analysis paralysis, and have more confidence in every trade they take.
1. No Indicator Clutter
Intent:
Many traders get confused by charts filled with too many indicators and signals. This often leads to hesitation, missed trades, or taking random, risky trades.
In this Indicator:
You get a clean and clutter-free chart. Only the most important buy/sell/wait signals and relevant support/resistance/liquidity levels are shown. These update automatically, removing the “overload” and keeping your focus sharp, so your decision-making is faster and stress-free.
2. Exact Entry Guide
Intent:
Traders often struggle with entry timing, leading to FOMO (fear of missing out) or getting trapped in sudden market reversals.
In this Indicator:
The system uses powerful adaptive logic to filter out weak signals and only highlight the strongest market moves. This not only prevents you from entering late or on noise, but also helps avoid losses from false breakouts or whipsaws. You get actionable suggestions—when to enter, when to hold back—so your entries are high-conviction and disciplined.
3. HTF+LTF Logic: Multitimeframe Sync Analysis
Intent:
Most losing trades happen when you act only on the short-term chart, ignoring the bigger market trend.
In this Indicator:
Signals are based on both the current chart timeframe (LTF) and a higher (HTF, like hourly/daily) timeframe. The indicator synchronizes trend direction, momentum, and structure across both levels, quickly adapting to show you when both are aligned. This filtering results in “only trade with the bigger trend”—dramatically increasing your win rate and market confidence.
4. Auto Support/Resistance & Liquidity Zones
Intent:
Drawing support/resistance and liquidity zones manually is time-consuming and error-prone, especially for beginners.
In this Indicator:
The system automatically identifies and plots the most crucial support/resistance levels and liquidity zones on your chart. This is based on adaptive, real-time price and volume analysis. These zones highlight where major institutional activity, trap setups, or real breakouts/reversals are most likely, removing guesswork and giving you a clear reference for entries, exits, and stop placements.
5. Clear Action/Direction
Intent:
Traders need certainty—what does the market want right now? Most indicators are vague.
In this Indicator:
Your dashboard always displays in plain words (like “BUY”, “SELL”, or “WAIT”) what action makes sense in the current market phase. Whether it’s a bull trap, volume spike, wick reversal, or exhaustion—it’s interpreted and explained clearly. No more confusion—just direct, real-time advice.
6. For Everyone (Beginner to Pro)
Intent:
Most advanced indicators are overwhelming for new traders; simple ones lack depth for professionals.
In this Indicator:
It is simple enough for a beginner—just add it to the chart and instantly see what action to consider. At the same time, it includes advanced adaptive analysis, multi-timeframe logic, and customizable settings so professional traders can fine-tune it for their strategies.
7. Ideal Usage and User Benefits
Instant Decision Support:
Whenever you’re unsure about a trade, just look at the indicator’s suggestion for clarity.
Entry Learning:
Beginners get real-time “practice” by not only seeing signals, but also the reason behind them—improving your chart reading and market understanding.
Screen Time & Stress Reduction:
Clear, relevant information only; no noise, less fatigue, faster decisions.
Makes Trading Confident & Simple:
The smart dashboard splits actionable levels (HTF, LTF, action) so you never miss a move, avoid traps, and stay aligned with high-probability trades.
8. Advanced Input Settings (Smart Customization)
Explained with Examples:
Enable Wick Analysis:
Finds candles with strong upper/lower wicks (signs of rejection/buying/selling force), alerting you to hidden reversals and protecting from FOMO entries.
Enable Absorption:
Detects when heavy order flow from one side is “absorbed” by the other (shows where institutional buyers/sellers are likely active, helps spot fake breakouts).
Enable Unusual Breakout:
Highlights real breakouts—large volatility plus high volume—so you catch genuine moves and avoid random spikes.
Enable Range/Expansion:
Smartly flags sudden range expansions—when the market goes from quiet to volatile—so you can act at the start of real trends.
Trend Bar Lookback:
Adjusts how many bars/candles are used in trend calculations. Short (fast trades, more signals), long (more reliability, fewer whipsaws).
Bull/Bear Bars for Strong Trend Min:
Sets how many candles in a row must support a trend before calling it “strong”—prevents flipping signals, keeps you disciplined.
Volume MA Length:
Lets you adjust how many bars back volume is averaged—fine-tune for your asset and trading style for best volume signals.
Swing Lookback Bars:
Set how many bars to use for swing high/low detection—short (quick swing levels), long (stronger support/resistance).
HTF (Bias Window):
Decide which higher timeframe the indicator should use for big-picture market mood. Adjustable for any style (scalp, swing, position).
Adaptive Lookback (HTF):
Choose how much HTF history is used for detecting major extremes/zones. Quick adjust for more/less sensitivity.
Show Support/Resistance, Liquidity Zones, Trendlines:
Toggle them on/off instantly per your needs—keeps your chart relevant and tailored.
9. Live Dashboard Sections Explained
Intent HTF:
Shows if the bigger timeframe currently has a Bullish, Bearish, or Neutral (“Chop”) intent, based on strict volume/price body calculations. Instant clarity—no more guessing on trend bias.
HTF Bias:
Clear message about which side (buy/sell/sideways) controls the market on the higher timeframe, so you always trade with the “big money.”
Chart Action:
The central action for the current bar—Whether to Buy, Sell, or Wait—calculated from all indicator logic, not just one rule.
TrendScore Long/Short:
See how many candles in your chosen window were bullish or bearish, at a glance. Instantly gauge market momentum.
Reason (WHY):
Every time a signal appears, the “reason” cell tells you the primary logic (breakout, wick, strong trend, etc.) behind it. Full transparency and learning—never trade blindly.
Strong Trend:
Shows if the market is currently in a powerful trend or not—helping you avoid choppy, risky entries.
HTF Vol/Body:
Displays current higher timeframe volume and candle body %—helping spot when big players are active for higher probability trades.
Volume Sentiment:
A real-time analysis of market psychology (strong bullish/bearish, neutral)—making your decision-making much more confident.
10. Smart and User-Friendly Design
Multi-timeframe Adaptive:
All calculations can now be drawn from your choice of higher or current timeframe, ensuring signals are filtered by larger market context.
Flexible Table Position:
You can set the live dashboard/summary anywhere on the chart for best visibility.
Refined Zone Visualization:
Liquidity and order blocks are visually highlighted, auto-tuning for your settings and always cleaning up to stay clutter-free.
Multi-Lingual & Beginner Accessible:
With Hindi and simple English support, descriptions and settings are accessible for a wide audience—anyone can start using powerful trading logic with zero language barrier.
Efficient Labels & Clear Reasoning:
Signal labels and reasons are shown/removed dynamically so your chart stays informative, not messy.
Every detail of this indicator is designed to make trading both simpler and smarter—helping you avoid the common pitfalls, learn real price action, stay in sync with the market’s true mood, and act with discipline for higher consistency and confidence.
This indicator makes professional-grade market analysis accessible to everyone. It’s your trusted assistant for making smarter, faster, and more profitable trading decisions—providing not just signals, but also the “why” behind every action. With auto-adaptive logic, clear visuals, and strong focus on real trading needs, it lets you focus on capturing the moves that matter—every single time.
ZoneRadar by Chaitu50cZoneRadar
ZoneRadar is a tool designed to detect and visualize hidden buy or sell pressures in the market. Using a Z-Score based imbalance model, it identifies areas where buyers or sellers step in with strong momentum and highlights them as dynamic supply and demand zones.
How It Works
Z-Score Imbalance : Calculates statistical deviations in order flow (bull vs. bear pressure).
Buy & Sell Triggers: Detects when imbalances cross predefined thresholds.
Smart Zones: Marks potential buy (green) or sell (red) zones directly on your chart.
Auto-Merge & Clean: Overlapping or noisy zones are automatically merged to keep the chart clean.
History Control: Keeps only the most recent and strongest zones for focus.
Key Features
Customizable Z-Score level and lookback period
Cooldown filter to avoid over-signaling
Smart zone merging to prevent clutter
Adjustable price tolerance for merging overlapping zones (ticks)
Extend zones into the future with right extensions
Fully customizable colors and display settings
Alert conditions for Buy Pressure and Sell Pressure
Why ZoneRadar?
Simplifies complex order flow into clear, tradable zones
Helps identify high-probability reversal or continuation levels
Avoids noise by keeping only the cleanest zones
Works across any timeframe or market (stocks, futures, forex, crypto)
Disclaimer
This tool is designed for educational and informational purposes only. It does not provide financial advice. Always test on demo and combine with your own trading strategy.
SmartPlusSmartPlus
Overview
The SmartPlus indicator is a complete framework for intraday traders. It combines key market reference points (VWAP, moving averages, and the first 15-minute high/low range) with predictive levels based on historical daily moves. Together, these elements allow traders to build directional bias, spot breakouts, and manage risk throughout the session.
Key Features
1. VWAP (Volume-Weighted Average Price)
- Plots the intraday VWAP in real time.
- VWAP acts as a central “fair value” reference point for institutional order flow.
- Price trading above VWAP generally suggests bullish bias, while below VWAP leans bearish.
2. Exponential Moving Averages (EMAs)
- Two configurable EMAs are included:
- Fast EMA (default: 21 periods)
- Slow EMA (default: 34 periods)
- Each EMA is plotted with a single, user-selectable color for clarity.
- Crossovers or alignment between price, VWAP, and EMAs help define market structure.
3. Smart Bar Coloring
- Candles automatically change color when conditions align:
- Bull Zone: Price above VWAP, Fast EMA, and Slow EMA.
- Bear Zone: Price below VWAP, Fast EMA, and Slow EMA.
- Fluorescent bar coloring helps highlight momentum zones visually without additional analysis.
4. First 15-Minute High/Low/Mid (Automatic)
- Automatically detects the first 15 minutes of each new trading day (no manual input required).
- Plots horizontal lines for:
- First 15-Minute High (green)
- First 15-Minute Low (red)
- Midpoint of that range (gray)
- Once the initial 15-minute window ends, these levels remain projected throughout the session as breakout or support/resistance zones.
- Alerts trigger when price breaks above the high or below the low after the window.
5. Daily Support/Resistance Forecast
- Uses a rolling lookback of recent daily ranges (default: 126 days).
- Tracks average up moves and down moves from the daily open.
- Optionally incorporates standard deviation for wider confidence bands.
- Plots forecast levels above/below the current day’s open for reference.
Trading Logic (How to Use)
- Bullish Bias:
- Price is above VWAP, above both EMAs, and ideally above the first 15-minute high.
- This setup suggests trend continuation or breakout opportunities on the long side.
- Bearish Bias:
- Price is below VWAP, below both EMAs, and ideally below the first 15-minute low.
- This setup suggests downward pressure or breakout opportunities on the short side.
- Neutral / Caution Zone:
- Price caught between VWAP, EMAs, or inside the 15-minute range often signals indecision.
- Best to wait for confirmation or breakout before committing to trades.
Expectations After Using It
- The script provides context and structure, not trading signals.
- It highlights where price is relative to meaningful market levels so traders can act with greater confidence.
- Combining VWAP, EMAs, and the 15-minute breakout framework helps traders stay aligned with the market’s natural rhythm.
Disclaimer
This script is a tool for market analysis and educational purposes only.
It does not constitute financial advice, trading recommendations, or guaranteed profitability.
Markets are inherently risky, and past patterns do not ensure future results.
Always combine this tool with sound risk management, personal research, and professional guidance before making any trading decisions.
Rally/Drop Market Structure (Multi-Timeframe)Rally/Drop Market Structure
Supply and Demand Zones from Bullish/Bearish Breaks
Overview:
The Rally/Drop Market Structure indicator is a powerful price action tool that identifies key structural turning points in the market by detecting bullish and bearish breaks . After each confirmed break, it plots either a demand zone (following a bullish break or rally) or a supply zone (following a bearish break or drop). These zones represent institutional footprints — areas where price is likely to react due to imbalance or unfilled orders.
The indicator is based on synthetic higher timeframe (HTF) candles to provide a more stable and smoothed structural map, improving clarity and signal quality over raw candles.
How It Works:
- A bullish break is defined when price makes a higher high and a higher low (or closes above the previous high depending on your selected mode).
- A bearish break is defined when price makes a lower high and a lower low (or closes below the previous low).
- After a bullish break, the indicator plots a demand zone based on the low and high of the most recent bearish candle — representing where demand stepped in.
- After a bearish break, the indicator plots a supply zone from the most recent bullish candle — indicating where supply took control.
- Optional mitigation logic marks zones as mitigated (or deletes them) once price trades into the opposing side.
- Internal shift detection highlights swing highs and lows , labels structural points (HH, HL, LH, LL), and identifies potential liquidity sweeps .
Features:
- Dynamic plotting of rally-based demand zones and drop-based supply zones
- Toggle to use Highs/Lows or Close-based breaks for structure
- Support for LTF, MTF, and HTF analysis (with selectable timeframe)
- Zone mitigation logic with optional automatic cleanup
- Labeling of key swing points: HH , HL , LH , LL , and LS (Liquidity Sweep)
- Zigzag visualization for structure flow
- Alert-ready for internal shifts, BoS, and zone creation
- Separate styling options for BoS lines, internal shift shapes, and zone colors
How to Use:
- Set your desired HTF candle source (e.g., 1H or 4H) depending on your trading style.
- Use Highs/Lows mode for pure price action structure or Close mode for more conservative signals.
- Observe when a bullish break occurs — a demand zone will form where price previously dropped before rallying. Look for long opportunities if price revisits this zone.
- After a bearish break , a supply zone forms where the rally failed — use this to scout short entries on retests.
- Use BoS lines to confirm structure shifts and validate entry triggers or trend direction.
- Monitor mitigated zones for reduced reliability or avoid them completely by enabling automatic deletion.
- Use alerts to stay notified about key changes without watching the chart constantly.
Recommended Strategies:
- Smart money or ICT-style trading : identify institutional footprints and mitigation setups
- Reversal trading : catch price rejecting off unmitigated zones after structure break
- Trend continuation : enter in the direction of internal structure after pullbacks into zones
- Liquidity sweep confirmation : filter out false breaks using HH/LL with LS detection
Tips:
- Combine this indicator with a higher timeframe bias tool (e.g., moving average, higher timeframe market structure).
- For scalping, use tighter HTFs and reduce the zone duration.
- For swing trading, use larger HTFs (1H, 4H, Daily) and increase zone persistence.
Summary:
The Rally/Drop Market Structure indicator gives you an actionable framework for understanding price structure, market intent, and supply/demand imbalances. Whether you're looking for precision entries, trend confirmation, or smart money concepts, this tool helps simplify complex price behavior into clean, usable structure and zones.
Path of Least ResistancePath of Least Resistance (PLR)
Concept Overview
The Path of Least Resistance indicator identifies key zones on your chart that act like "muddy" or "sticky" areas where price tends to get bogged down, creating choppy and unpredictable price action. Between these zones lie the "empty spaces" - clear paths where price can move freely with momentum and direction.
The Analogy: Muddy Fields vs Open Roads
Think of your chart like a landscape:
🟫 ZONES (Muddy/Sticky Areas)
Fair Value Gaps (FVGs) from higher timeframes
Pivot wick zones from higher timeframe pivots
Areas where price gets "stuck" and churns
Like walking through thick mud - slow, choppy, unpredictable movement
Price action becomes erratic and difficult to trade
🟢 EMPTY SPACES (Open Roads)
The clear areas between zones
Where price can move freely with momentum
Like driving on an open highway - smooth, directional movement
The "Path of Least Resistance" for price movement
Trading Philosophy
AVOID Trading Within Zones:
Price action is typically choppy and unpredictable
Higher probability of false signals and whipsaws
Like trying to drive through mud - you'll get stuck
TRADE Through the Empty Spaces:
Look for moves that travel between zones
Price tends to move with momentum and direction
Higher probability setups with cleaner price action
Like taking the highway instead of back roads
Zone Types Detected
Fair Value Gaps (FVGs)
Imbalances from higher timeframe candles
Areas where price "owes" a return visit
Often act as magnets, creating choppy price action
Pivot Wick Zones
Upper and lower wicks from higher timeframe pivots
Rejection areas where price previously struggled
Often create resistance/support that leads to choppy movement
Color Coding System
The zones dynamically change color based on current price position:
🔴 RED ZONES : Price is below the zone (bearish context)
🟢 GREEN ZONES : Price is above the zone (bullish context)
🔘 GRAY ZONES : Price is within the zone (neutral/choppy area)
The "Mum Trades" Strategy
The best trades - what we call "Mum trades" (trades so obvious even your mum could spot them) - happen in the empty spaces between zones:
✅ High Probability Characteristics:
Clear directional movement between zones
Less noise and false signals
Higher momentum and follow-through
Cleaner technical patterns
❌ Avoid These Areas:
Trading within the muddy zones
Expecting clean moves through sticky areas
Fighting against the natural flow of price
Key Features
Auto Timeframe Detection : Automatically selects appropriate higher timeframe
Dynamic Zone Management : Overlapping zones are automatically cleaned up
Real-time Alerts : Get notified when price enters/exits zones
Visual Clarity : Clean zone display with extending boundaries
How to Use
Identify the Zones : Let the indicator mark the muddy areas
Find the Paths : Look for clear spaces between zones
Plan Your Trades : Target moves that travel through empty space
Avoid the Mud : Stay away from trading within the zones
Follow the Flow : Trade with the path of least resistance
Remember
Price, like water, always seeks the path of least resistance. By identifying where that path is clear (empty spaces) versus where it's obstructed (zones), you can align your trading with the natural flow of the market rather than fighting against it.
The goal is simple: Trade the highways, avoid the mud.
Enigma Sniper 369The "Enigma Sniper 369" is a custom-built Pine Script indicator designed for TradingView, tailored specifically for forex traders seeking high-probability entries during high-volatility market sessions.
Unlike generic trend-following or scalping tools, this indicator uniquely combines session-based "kill zones" (London and US sessions), momentum-based candle analysis, and an optional EMA trend filter to pinpoint liquidity grabs and reversal opportunities.
Its originality lies in its focus on liquidity hunting—identifying levels where stop losses are likely clustered (around swing highs/lows and wick midpoints)—and providing visual entry zones that are dynamically removed once price breaches them, reducing clutter and focusing on actionable signals.
The name "369" reflects the structured approach of three key components (session timing, candle logic, and trend filter) working in harmony to snipe precise entries.
What It Does
"Enigma Sniper 369" identifies potential buy and sell opportunities by drawing two types of horizontal lines on the chart during user-defined London and US
session kill zones:
Solid Lines: Mark the swing low (for buys) or swing high (for sells) of a trigger candle, indicating a potential entry point where stop losses might be clustered.
Dotted Lines: Mark the 50% level of the candle’s wick (lower wick for buys, upper wick for sells), serving as a secondary confirmation zone for entries or tighter stop-loss placement.
These lines are plotted only when specific candle conditions are met within the kill zones, and they are automatically deleted once the price crosses them, signaling that the liquidity at that level has likely been grabbed. The indicator also includes an optional EMA filter to ensure trades align with the broader trend, reducing false signals in choppy markets.
How It Works
The indicator’s logic is built on a multi-layered approach:
Kill Zone Timing: Trades are only considered during user-defined London and US session hours (e.g., London from 02:00 to 12:00 UTC, as seen in the screenshots). These sessions are known for high volatility and liquidity, making them ideal for capturing institutional moves.
Candle-Based Momentum Logic:
Buy Signal: A candle must close above its midpoint (indicating bullish momentum) and have a lower low than the previous candle (suggesting a potential liquidity grab below the previous swing low). This is expressed as close > (high + low) / 2 and low < low .
Sell Signal: A candle must close below its midpoint (bearish momentum) and have a higher high than the previous candle (indicating a potential liquidity grab above the previous swing high), expressed as close < (high + low) / 2 and high > high .
These conditions ensure the indicator targets candles that break recent structure to hunt stop losses while showing directional momentum.
Optional EMA Filter: A 50-period EMA (customizable) can be enabled to filter signals based on trend direction.
Buy signals are only generated if the EMA is trending upward (ema_value > ema_value ), and sell signals require a downward EMA trend (ema_value < ema_value ). This reduces noise by aligning entries with the broader market trend.
Liquidity Levels and Deletion Logic:
For a buy signal, a solid green line is drawn at the candle’s low, and a dotted green line at the 50% level of the lower wick (from the candle body’s bottom to the low).
For a sell signal, a solid red line is drawn at the candle’s high, and a dotted red line at the 50% level of the upper wick (from the body’s top to the high).
These lines extend to the right until the price crosses them, at which point they are deleted, indicating the liquidity at that level has been taken (e.g., stop losses triggered).
Alerts: The indicator includes alert conditions for buy and sell signals, notifying traders when a new setup is identified.
Underlying Concepts
The indicator is grounded in the concept of liquidity hunting, a strategy often employed by institutional traders. Markets frequently move to levels where stop losses are clustered—typically just beyond swing highs or lows—before reversing in the opposite direction. The "Enigma Sniper 369" targets these moves by identifying candles that break structure (e.g., a lower low or higher high) during high-volatility sessions, suggesting a potential sweep of stop losses. The 50% wick level acts as a secondary confirmation, as this midpoint often represents a zone where tighter stop losses are placed by retail traders. The optional EMA filter adds a trend-following element, ensuring entries are taken in the direction of the broader market momentum, which is particularly useful on lower timeframes like the 15-minute chart shown in the screenshots.
How to Use It
Here’s a step-by-step guide based on the provided usage example on the GBP/USD 15-minute chart:
Setup the Indicator: Add "Enigma Sniper 369" to your TradingView chart. Adjust the London and US session hours to match your timezone (e.g., London from 02:00 to 12:00 UTC, US from 13:00 to 22:00 UTC). Customize the EMA period (default 50) and line styles/colors if desired.
Identify Kill Zones: The indicator highlights the London session in light green and the US session in light purple, as seen in the screenshots. Focus on these periods for signals, as they are the most volatile and likely to produce liquidity grabs.
Wait for a Signal: Look for solid and dotted lines to appear during the kill zones:
Buy Setup: A solid green line at the swing low and a dotted green line at the 50% lower wick level indicate a potential buy. This suggests the market may have grabbed liquidity below the swing low and is now poised to move higher.
Sell Setup: A solid red line at the swing high and a dotted red line at the 50% upper wick level indicate a potential sell, suggesting liquidity was taken above the swing high.
Place Your Trade:
For a buy, set a buy limit order at the dotted green line (50% wick level), as this is a more conservative entry point. Place your stop loss just below the solid green line (swing low) to cover the full swing. For example, in the screenshots, the market retraces to the dotted line at 1.32980 after a liquidity grab below the swing low, triggering a buy limit order.
For a sell, set a sell limit order at the dotted red line, with a stop loss just above the solid red line.
Monitor Price Action: Once the price crosses a line, it is deleted, indicating the liquidity at that level has been taken. In the screenshots, after the buy limit is triggered, the market moves higher, confirming the setup. The caption notes, “The market returns and tags us in long with a buy limit,” highlighting this retracement strategy.
Additional Context: Use the indicator to identify liquidity levels that may be targeted later. For example, the screenshot notes, “If a new session is about to open I will wait for the grab liquidity to go long,” showing how the indicator can be used to anticipate future moves at session opens (e.g., London open at 1.32980).
Risk Management: Always set a stop loss below the swing low (for buys) or above the swing high (for sells) to protect against adverse moves. The 50% wick level helps tighten entries, improving the risk-reward ratio.
Practical Example
On the GBP/USD 15-minute chart, during the London session (02:00 UTC), the indicator identifies a buy setup with a solid green line at 1.32901 (swing low) and a dotted green line at 1.32980 (50% wick level). The market initially dips below the swing low, grabbing liquidity, then retraces to the dotted line, triggering a buy limit order. The price subsequently rises to 1.33404, yielding a profitable trade. The user notes, “The logic is in the last candle it provides new level to go long,” emphasizing the indicator’s ability to identify fresh levels after a liquidity sweep.
Customization Tips
Adjust the EMA period to suit your timeframe (e.g., a shorter period like 20 for faster signals on lower timeframes).
Modify the session hours to align with your broker’s timezone or specific market conditions.
Use the alert feature to get notified of new setups without constantly monitoring the chart.
Why It’s Useful for Traders
The "Enigma Sniper 369" stands out by combining session timing, momentum-based candle analysis, and liquidity hunting into a single tool. It provides clear, actionable levels for entries and stop losses, removes invalid signals dynamically, and aligns trades with high-probability market conditions. Whether you’re a scalper looking for quick moves during London open or a swing trader targeting session-based reversals, this indicator offers a structured, data-driven approach to trading.
Balanced Price Range | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Balanced Price Range (BPR) indicator! A Balanced Price Range is a trading concept used by price action traders. It is detected by finding overlapping area between two contrary Fair Value Gaps (FVGs). These areas can be used as entry points during market pullbacks. For more information about the process, please check the "HOW DOES IT WORK ?" section.
Balanced Price Range Features :
Balanced Price Range Detection : Identifies areas where bullish and bearish FVGs overlap, suggesting a zone of price equilibrium.
Customizable FVG & BPR Detection : You can fine-tune FVG detection and sensitivity for BPR detection to your liking.
Retest Labels : Bullish & Bearish retest labels will be rendered for BPRs.
Alerts : You can set alerts for Bullish & Bearish BPR detection and their retests.
🚩 UNIQUENESS
This indicator doesn't just detect standard FVGs but specifically looks for areas where bullish and bearish IFVGs (Invalidated Fair Value Gaps) overlap, defining a Balanced Price Range. It also actively manages and updates identified BPR zones, removing them when they are invalidated or remain untouched for a specified period. It highlights and alerts users to retests of established BPR zones, signaling potential trading opportunities. Users can tailor the appearance of the BPR zones and retest markers, as well as configure specific alerts for new BPR formations and retests.
📌 HOW DOES IT WORK ?
A Fair Value Gap generally occur when there is an imbalance in the market. They can be detected by specific formations within the chart. The indicator first detects bullish & bearish FVG zones according to their formations on chart. Then, they are dynamically tracked and flagged as invalidated if the price crosses them, turning them into IFVGs. When a FVG & IFVG of the same type overlaps, the indicator combines them into a single BPR of corresponding type. The detected BPR is updated as new data comes in, and renders retests labels as they occur. A bullish BPR can be used to find long trade entry opportunities, while a bearish BPR can be used to find short trade entry opportunities. Retests can also indicate potential movements in the corresponding direction of the BPR. Users can set-up alerts for BPR detection & BPR retests and will get notified as they occur.
⚙️ SETTINGS
Show Historic Zones: If enabled, invalidated or expired BPR zones will remain visible on the chart.
Balanced Price Range:
FVG Detection Method: Determines the criteria for the bar types forming the initial FVG.
Same: All three bars forming the FVG must be of the same type (all bullish or all bearish).
Mixed: The bar types must vary (a mix of bullish and bearish bars).
All: Bar types can vary or be the same.
FVG Invalidation Method: Determines which part of the candle (wick or close) invalidates the initial FVG.
BPR Invalidation Method: Determines which part of the candle (wick or close) invalidates the Balanced Price Range.
Sensitivity: Adjusts the sensitivity of FVG detection. Higher values may identify fewer, larger BPRs, while lower values may detect more, smaller BPRs.
Labels: Toggles the display of text labels on the identified zones.
Retests: Enables or disables the detection and visualization of BPR retests.
