Smart Range Zones [Dr. Hafiz]Smart Range Zones
Description:
This indicator highlights key market zones — High Range, Mid Range, and Low Range — to help traders visually understand dynamic support and resistance levels.
✅ High Range: Potential supply/resistance area
✅ Mid Range: Fair value or equilibrium zone
✅ Low Range: Potential demand/support area
The zones are calculated based on the highest and lowest price over a user-defined period (default: 130 bars) and dynamically projected forward.
🔸 EMA 15 Line is included as an optional trend filter — helping confirm direction or trend alignment.
🔧 Features:
Auto-calculated High/Mid/Low zones
Real-time dynamic projections
Right-aligned zone labels inside each box
Clean visual structure
Toggle for showing/hiding EMA 15
📌 Best suited for:
Intraday & swing traders
Range breakouts and rejections
Trend confirmation with EMA
Created and published by Dr. Hafiz, modified under the MPL 2.0 license.
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Internal Candle Strength [LuxAlgo]The Internal Candle Strength tool allows traders to divide each chart bar into multiple rows of custom size and inspect the strength of the lower timeframes trends located within each row.
This tool effectively helps traders in identifying the power dynamic between bulls and bears within multiple areas within each bar, providing the ability to conduct LTF analysis.
🔶 USAGE
The strength displayed within each row ranges from 0% to 100%, with 0% being the most bearish and 100% being the most bullish.
Traders should be aware of the extreme probabilities located at the higher/lower end of the bars, as this can signal a change in strength and price direction.
Traders can select the lower timeframe to pull the data from or the row size in the scale of the chart. Selecting a lower timeframe will provide more data to evaluate an area's strength.
Do note that only a timeframe lower than the chart timeframe should be selected.
🔹 Row Size
Selecting a smaller row size will increase the number of rows per bar, allowing for a more detailed analysis. A lower value will also generally mean that less data will be considered when calculating the strength of a specific area.
As we can see on the chart above (all BTCUSD 30m), by selecting a different row size, traders can control how many rows are displayed per bar.
🔶 SETTINGS
Timeframe: Lower timeframe used to calculate the candle strength.
Row Size: Size of each row on the chart scale, expressed as a fraction of the candle range.
MTF Candles [Fadi x MMT]MTF Candles
Overview
The MTF Candles indicator is a powerful tool designed for traders who want to visualize higher timeframe (HTF) candles directly on their current chart. Built with flexibility and precision in mind, this Pine Script indicator displays up to six higher timeframe candles, complete with customizable styling, sweeps, midpoints, fair value gaps (FVGs), volume imbalances, and trace lines. It’s perfect for multi-timeframe analysis, helping traders identify key levels, market structure, and potential trading opportunities with ease.
Key Features
- Multi-Timeframe Candles : Display up to six higher timeframe candles (e.g., 5m, 15m, 30m, 4H, 1D, 1W) on your chart, with configurable timeframes and visibility.
- Sweeps Detection : Identify liquidity sweeps (highs/lows) with customizable line styles, widths, and colors, plus optional alerts for confirmed bullish or bearish sweeps.
- Midpoint Lines : Plot the midpoint (average of high and low) of the previous HTF candle, with customizable color, width, and style for enhanced market analysis.
- Fair Value Gaps (FVGs) : Highlight gaps between non-adjacent candles, indicating potential areas of interest for price action.
- Volume Imbalances : Detect and display volume imbalances between adjacent candles, aiding in spotting significant price levels.
- Trace Lines : Connect HTF candle open, close, high, and low prices to their respective chart bars, with customizable styles and optional price labels.
- Custom Daily Open Times : Support for custom daily candle open times (Midnight, 8:30, or 9:30) to align with specific market sessions.
- Dynamic Labels : Show timeframe names, remaining time until the next HTF candle, and interval labels (e.g., day of the week for daily candles) with adjustable positions and sizes.
- Highly Customizable : Fine-tune candle appearance, spacing, padding, and visual elements to suit your trading style.
How It Works
The indicator renders HTF candles as boxes (bodies) and lines (wicks) on the right side of the chart, with each timeframe offset for clarity. It dynamically updates candles in real-time, tracks their highs and lows, and displays sweeps and midpoints when conditions are met. FVGs and volume imbalances are calculated based on candle relationships, and trace lines link HTF candle levels to their originating bars on the chart.
Sweep Logic
- A bearish sweep occurs when the current candle’s high exceeds the previous candle’s high, but the close is below it.
- A bullish sweep occurs when the current candle’s low falls below the previous candle’s low, but the close is above it.
- Sweeps are visualized as horizontal lines and can trigger alerts when confirmed on the next candle.
Midpoint Logic
- A midpoint line is drawn at the average of the previous HTF candle’s high and low, extending until the next HTF candle forms.
- Useful for identifying potential support/resistance or mean reversion levels.
Imbalance Detection
- FVGs : Identified when a candle’s low is above the next-but-one candle’s high (or vice versa), indicating a price gap.
- Volume Imbalances : Detected between adjacent candles where the body of one candle doesn’t overlap with the next, signaling potential liquidity zones.
Settings
Timeframe Settings
- HTF 1–6 : Enable/disable up to six higher timeframes (default: 5m, 15m, 30m, 4H, 1D, 1W) and set the maximum number of candles to display per timeframe (default: 4).
- Limit to Next HTFs : Restrict the number of active timeframes (1–6).
Styling
- Body, Border, Wick Colors : Customize bull and bear candle colors (default: light gray for bulls, dark gray for bears).
- Candle Width : Adjust the width of HTF candles (1–4).
- Padding and Spacing : Set the offset from the current price action and spacing between candles and timeframes.
Label Settings
- HTF Label : Show/hide timeframe labels (e.g., "15m", "4H") at the top/bottom of candle sets.
- Remaining Time : Display the countdown to the next HTF candle.
Interval Value: Show day of the week for daily candles or time for intraday candles.
- Label Position/Alignment : Choose to display labels at the top, bottom, or both, and align them with the highest/lowest candles or follow individual candle sets.
Imbalance Settings
- Fair Value Gap : Enable/disable FVGs with customizable color (default: semi-transparent gray).
- Volume Imbalance : Enable/disable volume imbalances with customizable color (default: semi-transparent red).
Trace Settings
- Trace Lines : Enable/disable lines connecting HTF candle levels to their chart bars, with customizable colors, styles (solid, dashed, dotted), and sizes.
- Price Labels : Show price levels for open, close, high, and low trace lines.
- Anchor : Choose whether trace lines anchor to the first or last enabled timeframe.
Sweep Settings
- Show Sweeps : Enable/disable sweep detection and visualization.
- Sweep Line : Customize color, width, and style (solid, dashed, dotted).
- Sweep Alert : Enable alerts for confirmed sweeps.
Midpoint Settings
- Show Midpoint : Enable/disable midpoint lines.
- Midpoint Line : Customize color (default: orange), width, and style (solid, dashed, dotted).
Custom Daily Open
Custom Daily Candle Open : Choose between Midnight, 8:30, or 9:30 (America/New_York) for daily candle opens.
Usage
- Add the indicator to your TradingView chart.
- Configure the desired higher timeframes (HTF 1–6) and enable/disable features via the settings panel.
- Adjust styling, labels, and spacing to match your chart preferences.
Use sweeps, midpoints, FVGs, and volume imbalances to identify key levels for trading decisions.
- Enable sweep alerts to receive notifications for confirmed liquidity sweeps.
Notes
Performance: The indicator is optimized for up to 500 boxes, lines, and labels, with a maximum of 5000 bars back. Can be slow at a time
Time Zone: Custom daily opens use the America/New_York time zone for consistency with major financial markets.
Compatibility: Ensure selected HTFs are valid (higher than the chart’s timeframe and divisible by it for intraday periods).
Staccked SMA - Regime Switching & Persistance StatisticsThis indicator is designed to identify the prevailing market regime by analyzing the behavior of a "stack" of Simple Moving Averages (SMAs). It helps you understand whether the market is currently trending, mean-reverting, or moving randomly.
Core Concept: SMA Correlation
At its heart, the indicator examines the relationship between a set of nine SMAs with different lengths (3, 5, 8, 13, 21, 34, 55, 89, 144) and the lengths themselves.
In a strong trending market (either up or down), the SMAs will be neatly "stacked" in order of their length. The shortest SMA will be furthest from the longest SMA, creating a strong, almost linear visual pattern. When we measure the statistical correlation between the SMA values and their corresponding lengths, we get a value close to +1 (perfect uptrend stack) or -1 (perfect downtrend stack). The absolute value of this correlation will be very high (close to 1).
In a mean-reverting or sideways market, the SMAs will be tangled and crisscrossing each other. There is no clear order, and the relationship between an SMA's length and its price value is weak. The correlation will be close to 0.
This indicator calculates this Pearson correlation on every bar, giving a continuous measure of how ordered or "trendy" the SMAs are. An absolute correlation above 0.8 is considered strongly trending, while a value between 0.4 and 0.8 suggests a mean-reverting character. Below 0.4, the market is likely random or choppy.
Regime Classification and Statistics
The indicator doesn't just look at the current correlation; it analyzes its behavior over a user-defined lookback window (default is 252 bars) to classify the overall market "regime."
It presents its findings in a clear table:
📊 |SMA Correlation| Regime Table: This main table provides a snapshot of the current market character.
Median: Shows the median absolute correlation over the lookback period, giving a central tendency of the market's behavior.
% > 0.80: The percentage of time the market was in a strong trend during the lookback period.
% < 0.80 & > 0.40: The percentage of time the market showed mean-reverting characteristics.
🧠 Regime: The final classification. It's labeled "📈 Trend-Dominant" if the median correlation is high and it has spent a significant portion of the time trending. It's labeled "🔄 Mean-Reverting" if the median is in the middle range and it has spent significant time in that state. Otherwise, it's considered "⚖️ Random/ Choppy".
📐 Regime Significance: This tells you how statistically confident you can be in the current regime classification, using a Z-score to compare its occurrence against random chance. ⭐⭐⭐ indicates high confidence (99%), while "❌ Not Significant" means the pattern could be random.
Regime Transition Probabilities
Optionally, a second table can be displayed that shows the historical probability of the market transitioning from one regime to another over different time horizons (t+5, t+10, t+15, and t+20 bars).
📈 → 🔄 → ⚖️ Transition Table: This table answers questions like, "If the market is trending now (From: 📈), what is the probability it will be mean-reverting (→ 🔄) in 10 bars?"
This provides powerful insights into the market's cyclical nature, helping you anticipate future behavior based on past patterns. For example, you might find that after a period of strong trending, a transition to a choppy state is more likely than a direct switch to a mean-reverting
Indicator Settings
Lookback Window for Regime Classification: This sets the number of recent bars (default is 252) the script analyzes to determine the current market regime (Trending, Mean-Reverting, or Random). A larger number provides a more stable, long-term view, while a smaller number makes the classification more sensitive to recent price action.
Show Regime Transition Table: A simple toggle (on/off) to show or hide the table that displays the probabilities of the market switching from one regime to another.
Lookback Offset for Starting Regime: This determines the "starting point" in the past for calculating regime transitions. The default is 20 bars ago. The script looks at the regime at this point and then checks what it became at later points.
Step 1, 2, 3, 4 Offset (bars): These define the future time intervals (5, 10, 15, and 20 bars by default) for the transition probability table. For example, the script checks the regime at the "Lookback Offset" and then sees what it transitioned to 5, 10, 15, and 20 bars later.
Significance Filter Settings
Use Regime Significance Filter: When enabled, this filter ensures that the regime transition statistics only count transitions that were "statistically significant." This helps to filter out noise and focus on more reliable patterns.
Min Stars Required (1=90%, 2=95%, 3=99%): This sets the minimum confidence level required for a regime to be included in the transition statistics when the significance filter is on.
1 ⭐: Requires at least 90% confidence.
2 ⭐⭐: Requires at least 95% confidence (default).
3 ⭐⭐⭐: Requires at least 99% confidence.
Gaussian Volatility Adjusted Key Features:Gaussian Smoothing: Applies a Gaussian filter to smooth price data (based on EMA or raw close prices), reducing noise while preserving trend information.
Volatility Adjustment: Uses ATR and standard deviation to create dynamic upper and lower bands around the smoothed price, adapting to market volatility.
Trend Detection: Identifies bullish (price above lower band) or bearish (price below upper band) trends, with additional confirmation using standard deviation thresholds.
Momentum Analysis: Measures momentum by calculating the price difference from key levels (upper band for bullish, Gaussian + standard deviation for bearish).
EMA Confluence: Optionally integrates an EMA of the momentum difference to confirm trend signals, enhancing accuracy.
Visual Output: Plots a zero line and an EMA line colored green (bullish) or red (bearish), with bar coloring to visually indicate trend direction.
Rubab's Buy/Sell + Reversal SignalThis indicstor helps to identify the reversal and provides entry exit signal.
MENOLAK RUGI TRADING PLAN "MENOLAK RUGI TRADING PLAN"
is a customizable trading plan table designed to help Smart Money Concept (SMC) traders visualize their execution checklist directly on the chart.
With this tool, you can select multiple timeframes for analysis, define your POI (Point of Interest) entry types, entry system preferences, stop-loss parameters, target exit strategies, break-even setup conditions, and risk per trade — all displayed in a clean, organized table.
🔧 Features:
Multi-timeframe selection (D1 to M1)
Multi-select POI Entry, Entry System, and Target Exit
Customizable SL levels (10–100 pips)
BEP setup from 1R to 5R
Risk/Trade options from 0.1% to 1%
Full control over table color, font size, and position
Perfect for discretionary and rule-based traders who want to remain consistent, accountable, and structured in their trading approach.
Alpha - Combined BreakoutThis Pine Script indicator, "Alpha - Combined Breakout," is a combination between Smart Money Breakout Signals and UT Bot Alert, The UT Bot Alert indicator was initially developer by Yo_adriiiiaan
The idea of original code belongs HPotter.
This Indicator helps you identify potential trading opportunities by combining two distinct strategies: Smart Money Breakout and a modified UT Bot (likely a variation of the Ultimate Trend Bot). It provides visual signals, draws lines for potential take profit (TP) and stop loss (SL) levels, and includes a dashboard to track performance metrics.
Tutorial:
Understanding and Using the "Alpha - Combined Breakout" Indicator
This indicator is designed for traders looking for confirmation of market direction and potential entry/exit points by blending structural analysis with a trend-following oscillator.
How it Works (General Concept)
The indicator combines two main components:
Smart Money Breakout: This part identifies significant breaks in market structure, which "smart money" traders often use to gauge shifts in supply and demand. It looks for higher highs/lows or lower highs/lows and flags when these structural points are broken.
UT Bot: This is a trend-following component that generates buy and sell signals based on price action relative to an Average True Range (ATR) based trailing stop.
You can choose to use these signals independently or combined to generate trading alerts and visual cues on your chart. The dashboard provides a quick overview of how well the signals are performing based on your chosen settings and display mode.
Parameters and What They Do
Let's break down each input parameter:
1. Smart Money Inputs
These settings control how the indicator identifies market structure and breakouts.
swingSize (Market Structure Time-Horizon):
What it does: This integer value defines the number of candles used to identify significant "swing" (pivot) points—highs and lows.
Effect: A larger swingSize creates a smoother market structure, focusing on longer-term trends. This means signals might appear less frequently and with some delay but could be more reliable for higher timeframes or broader market movements. A smaller swingSize will pick up more minor market structure changes, leading to more frequent but potentially noisier signals, suitable for lower timeframes or scalping.
Analogy: Think of it like a zoom level on your market structure map. Higher values zoom out, showing only major mountain ranges. Lower values zoom in, showing every hill and bump.
bosConfType (BOS Confirmation Type):
What it does: This string input determines how a Break of Structure (BOS) is confirmed. You have two options:
'Candle Close': A breakout is confirmed only if a candle's closing price surpasses the previous swing high (for bullish) or swing low (for bearish).
'Wicks': A breakout is confirmed if any part of the candle (including its wick) surpasses the previous swing high or low.
Effect: 'Candle Close' provides stronger, more conservative confirmation, as it implies sustained price movement beyond the structure. 'Wicks' provides earlier, more aggressive signals, as it captures momentary breaches of the structure.
Analogy: Imagine a wall. 'Candle Close' means the whole person must get over the wall. 'Wicks' means even a finger touching over the top counts as a breach.
choch (Show CHoCH):
What it does: A boolean (true/false) input to enable or disable the display of "Change of Character" (CHoCH) labels. CHoCH indicates the first structural break against the current dominant trend.
Effect: When true, it helps identify early signs of a potential trend reversal, as it marks where the market's "character" (its tendency to make higher highs/lows or lower lows/highs) first changes.
BULL (Bullish Color) & BEAR (Bearish Color):
What they do: These color inputs allow you to customize the visual appearance of bullish and bearish signals and lines drawn by the Smart Money component.
Effect: Purely cosmetic, helps with visual identification on the chart.
sm_tp_sl_multiplier (SM TP/SL Multiplier (ATR)):
What it does: A float value that acts as a multiplier for the Average True Range (ATR) to calculate the Take Profit (TP) and Stop Loss (SL) levels specifically when you're in "Smart Money Only" mode. It uses the ATR calculated by the UT Bot's nLoss_ut as its base.
Effect: A higher multiplier creates wider TP/SL levels, potentially leading to fewer trades but larger wins/losses. A lower multiplier creates tighter TP/SL levels, potentially leading to more frequent but smaller wins/losses.
2. UT Bot Alerts Inputs
These parameters control the behavior and sensitivity of the UT Bot component.
a_ut (UT Key Value (Sensitivity)):
What it does: This integer value adjusts the sensitivity of the UT Bot.
Effect: A higher value makes the UT Bot less sensitive to price fluctuations, resulting in fewer and potentially more reliable signals. A lower value makes it more sensitive, generating more signals, which can include more false signals.
Analogy: Like a noise filter. Higher values filter out more noise, keeping only strong signals.
c_ut (UT ATR Period):
What it does: This integer sets the look-back period for the Average True Range (ATR) calculation used by the UT Bot. ATR measures market volatility.
Effect: This period directly influences the calculation of the nLoss_ut (which is a_ut * xATR_ut), thus defining the distance of the trailing stop loss and take profit levels. A longer period makes the ATR smoother and less reactive to sudden price spikes. A shorter period makes it more responsive.
h_ut (UT Signals from Heikin Ashi Candles):
What it does: A boolean (true/false) input to determine if the UT Bot calculations should use standard candlestick data or Heikin Ashi candlestick data.
Effect: Heikin Ashi candles smooth out price action, often making trends clearer and reducing noise. Using them for UT Bot signals can lead to smoother, potentially delayed signals that stay with a trend longer. Standard candles are more reactive to raw price changes.
3. Line Drawing Control Buttons
These crucial boolean inputs determine which type of signals will trigger the drawing of TP/SL/Entry lines and flags on your chart. They act as a priority system.
drawLinesUtOnly (Draw Lines: UT Only):
What it does: If checked (true), lines and flags will only be drawn when the UT Bot generates a buy/sell signal.
Effect: Isolates UT Bot signals for visual analysis.
drawLinesSmartMoneyOnly (Draw Lines: Smart Money Only):
What it does: If checked (true), lines and flags will only be drawn when the Smart Money Breakout logic generates a bullish/bearish breakout.
Effect: Overrides drawLinesUtOnly if both are checked. Isolates Smart Money signals.
drawLinesCombined (Draw Lines: UT & Smart Money (Combined)):
What it does: If checked (true), lines and flags will only be drawn when both a UT Bot signal AND a Smart Money Breakout signal occur on the same bar.
Effect: Overrides both drawLinesUtOnly and drawLinesSmartMoneyOnly if checked. Provides the strictest entry criteria for line drawing, looking for strong confluence.
Dashboard Metrics Explained
The dashboard provides performance statistics based on the lines drawing control button selected. For example, if "Draw Lines: UT Only" is active, the dashboard will show stats only for UT Bot signals.
Total Signals: The total number of buy or sell signals generated by the selected drawing mode.
TP1 Win Rate: The percentage of signals where the price reached Take Profit 1 (TP1) before hitting the Stop Loss.
TP2 Win Rate: The percentage of signals where the price reached Take Profit 2 (TP2) before hitting the Stop Loss.
TP3 Win Rate: The percentage of signals where the price reached Take Profit 3 (TP3) before hitting the Stop Loss. (Note: TP1, TP2, TP3 are in order of distance from entry, with TP3 being furthest.)
SL before any TP rate: This crucial metric shows the number of times the Stop Loss was hit / the percentage of total signals where the stop loss was triggered before any of the three Take Profit levels were reached. This gives you a clear picture of how often a trade resulted in a loss without ever moving into profit target territory.
Short Tutorial: How to Use the Indicator
Add to Chart: Open your TradingView chart, go to "Indicators," search for "Alpha - Combined Breakout," and add it to your chart.
Access Settings: Once added, click the gear icon next to the indicator name on your chart to open its settings.
Choose Your Signal Mode:
For UT Bot only: Uncheck "Draw Lines: Smart Money Only" and "Draw Lines: UT & Smart Money (Combined)". Ensure "Draw Lines: UT Only" is checked.
For Smart Money only: Uncheck "Draw Lines: UT Only" and "Draw Lines: UT & Smart Money (Combined)". Ensure "Draw Lines: Smart Money Only" is checked.
For Combined Signals: Check "Draw Lines: UT & Smart Money (Combined)". This will override the other two.
Adjust Parameters:
Start with default settings. Observe how the signals appear on your chosen asset and timeframe.
Refine Smart Money: If you see too many "noisy" market structure breaks, increase swingSize. If you want earlier breakouts, try "Wicks" for bosConfType.
Refine UT Bot: Adjust a_ut (Sensitivity) to get more or fewer UT Bot signals. Change c_ut (ATR Period) if you want larger or smaller TP/SL distances. Experiment with h_ut to see if Heikin Ashi smoothing suits your trading style.
Adjust TP/SL Multiplier: If using "Smart Money Only" mode, fine-tune sm_tp_sl_multiplier to set appropriate risk/reward levels.
Interpret Signals & Lines:
Buy/Sell Flags: These indicate the presence of a signal based on your selected drawing mode.
Entry Line (Blue Solid): This is where the signal was generated (usually the close price of the signal candle).
SL Line (Red/Green Solid): Your calculated stop loss level.
TP Lines (Dashed): Your three calculated take profit levels (TP1, TP2, TP3, where TP3 is the furthest target).
Smart Money Lines (BOS/CHoCH): These lines indicate horizontal levels where market structure breaks occurred. CHoCH labels might appear at the first structural break against the prior trend.
Monitor Dashboard: Pay attention to the dashboard in the top right corner. This dynamically updates to show the win rates for each TP and, crucially, the "SL before any TP rate." Use these statistics to evaluate the effectiveness of the indicator's signals under your current settings and chosen mode.
*
Set Alerts (Optional): You can set up alerts for any of the specific signals (UT Bot Long/Short, Smart Money Bullish/Bearish, or the "Line Draw" combined signals) to notify you when they occur, even if you're not actively watching the chart.
By following this tutorial, you'll be able to effectively use and customize the "Alpha - Combined Breakout" indicator to suit your trading strategy.
GalihRidha ZoneX — Adaptive MTF S&R + Smart Money AreasWelcome to ZoneX: The new frontier of Support & Resistance for modern traders!
ZoneX is more than just S&R — it’s a hybrid price map that fuses classic pivots with institutional logic, visualizing the zones that really matter.
What Makes ZoneX Different?
Multi-Timeframe S&R:
Instantly spot the true key levels from higher timeframes, not just what everyone else sees on the current chart.
Smart Money Order Blocks:
Automatically highlights supply and demand zones where institutions accumulate or distribute — find the real “trap” areas and avoid getting faked out.
VWAP Bands:
See where the liquidity is thickest — these bands act as magnets for price, great for both reversals and breakouts.
Midline Channel:
Identify the market’s equilibrium — know when you’re in value and when you’re at the edge.
Previous High/Low:
Mark institutional magnets and classic stop-hunt zones, updated in real-time.
Ultra Customizable:
One-click to enable/disable any feature. Clean for minimalists, packed for pros.
How to Use ZoneX
Breakout?
Wait for price to clear a ZoneX band or order block with momentum — enter on the retest.
Reversal?
Fade wicks and exhaustion right in the highlighted zone — confirm with price action or volume.
Range/Balance?
Trade the ping-pong between ZoneX midline and outer bands — great for scalping and mean reversion.
Who’s It For?
Active traders who want an edge beyond standard S&R.
Institutional-mindset scalpers and swing traders.
Anyone who loves a clean chart but craves real market context.
Level up your chart, see what the big players see —
and never trade blind again. This is ZoneX.
Fibonacci Retracement Engine (DFRE) [PhenLabs]📊 Fibonacci Retracement Engine (DFRE)
Version: PineScript™ v6
📌 Description
Dynamic Fibonacci Retracement Engine (DFRE) is a sophisticated technical analysis tool that automatically detects important swing points and draws precise Fibonacci retracement levels on various timeframes. The intelligent indicator eliminates the subjectivity of manual Fibonacci drawing using intelligent swing detection algorithms combined with multi timeframe confluence analysis.
Built for professional traders who demand accuracy and consistency, DFRE provides real time Fibonacci levels that adapt to modifications in market structure without sacrificing accuracy in changing market conditions. The indicator excels at identifying key support and resistance levels where price action is more likely to react, giving traders a potent edge in entry and exit timing.
🚀 Points of Innovation
Intelligent Swing Detection Algorithm : Advanced pivot detection with customizable confirmation bars and minimum swing percentage thresholds
Multi-Timeframe Confluence Engine : Simultaneous analysis across three timeframes to identify high-probability zones
Dynamic Level Management : Automatically updates and manages multiple Fibonacci sets while maintaining chart clarity
Adaptive Visualization System : Smart labeling that shows only the most relevant levels based on user preferences
Real-Time Confluence Detection : Identifies zones where multiple Fibonacci levels from different timeframes converge
Automated Alert System : Comprehensive notifications for level breakouts and confluence zone formations
🔧 Core Components
Swing Point Detection Engine : Uses pivot high/low calculations with strength confirmation to identify significant market turns
Fibonacci Calculator : Automatically computes standard retracement levels (0.236, 0.382, 0.5, 0.618, 0.786, 0.886) plus extensions (1.272, 1.618)
Multi-Timeframe Security Function : Safely retrieves Fibonacci data from higher timeframes without repainting
Confluence Analysis Module : Mathematically identifies zones where multiple levels cluster within specified thresholds
Dynamic Drawing Management : Efficiently handles line and label creation, updates, and deletion to maintain performance
🔥 Key Features
Customizable Swing Detection : Adjust swing length (3-50 bars) and strength confirmation (1-10 bars) to match your trading style
Selective Level Display : Choose which Fibonacci levels to show, from core levels to full extensions
Multi-Timeframe Analysis : Analyze up to 3 different timeframes simultaneously for confluence identification
Intelligent Labeling System : Options to show main levels only or all levels, with latest-set-only functionality
Visual Customization : Adjustable line width, colors, and extension options for optimal chart clarity
Performance Optimization : Limit maximum Fibonacci sets (1-5) to maintain smooth chart performance
Comprehensive Alerting : Get notified on level breakouts and confluence zone formations
🎨 Visualization
Dynamic Fibonacci Lines : Color-coded lines (green for uptrends, red for downtrends) with customizable width and extension
Smart Level Labels : Precise level identification with both ratio and price values displayed
Confluence Zone Highlighting : Visual emphasis on areas where multiple timeframe levels converge
Clean Chart Management : Automatic cleanup of old drawing objects to prevent chart clutter
Responsive Design : All visual elements adapt to different chart sizes and timeframes
📖 Usage Guidelines
Swing Detection Settings
Swing Detection Length - Default: 25 | Range: 3-50 | Controls the lookback period for identifying pivot points. Lower values detect more frequent swings but may include noise, while higher values focus on major market turns.
Swing Strength (Confirmation Bars) - Default: 2 | Range: 1-10 | Number of bars required to confirm a swing point. Higher values reduce false signals but increase lag.
Minimum Swing % Change - Default: 1.0% | Range: 0.1-10.0% | Minimum percentage change required to register a valid swing. Filters out insignificant price movements.
Fibonacci Level Settings
Individual Level Toggles : Enable/disable specific Fibonacci levels (0.236, 0.382, 0.5, 0.618, 0.786, 0.886)
Extensions : Show projection levels (1.272, 1.618) for target identification
Multi-Timeframe Settings
Timeframe Selection : Choose three higher timeframes for confluence analysis
Confluence Threshold : Percentage tolerance for level clustering (0.5-5.0%)
✅ Best Use Cases
Swing Trading : Identify optimal entry and exit points at key retracement levels
Confluence Trading : Focus on high-probability zones where multiple timeframe levels align
Support/Resistance Trading : Use dynamic levels that adapt to changing market structure
Breakout Trading : Monitor level breaks for momentum continuation signals
Target Setting : Utilize extension levels for profit target placement
⚠️ Limitations
Lagging Nature : Requires confirmed swing points, which means levels appear after significant moves
Market Condition Dependency : Works best in trending markets; less effective in extremely choppy conditions
Multiple Signal Complexity : Multiple timeframe analysis may produce conflicting signals requiring experience to interpret
Performance Considerations : Multiple Fibonacci sets and MTF analysis may impact indicator loading time on slower devices
💡 What Makes This Unique
Automated Precision : Eliminates manual drawing errors and subjective level placement
Multi-Timeframe Intelligence : Combines analysis from multiple timeframes for superior confluence detection
Adaptive Management : Automatically updates and manages multiple Fibonacci sets as market structure evolves
Professional-Grade Alerts : Comprehensive notification system for all significant level interactions
🔬 How It Works
Step 1 - Swing Point Identification : Scans price action using pivot high/low calculations with specified lookback periods, applies confirmation logic to eliminate false signals, and calculates swing strength based on surrounding price action for quality assessment.
Step 2 - Fibonacci Level Calculation : Automatically computes retracement and extension levels between confirmed swing points, creates dynamic level sets that update as new swing points are identified, and maintains multiple active Fibonacci sets for comprehensive market analysis.
Step 3 - Multi-Timeframe Confluence : Retrieves Fibonacci data from higher timeframes using secure request functions, analyzes level clustering across different timeframes within specified thresholds, and identifies high-probability zones where multiple levels converge.
💡 Note: This indicator works best when combined with other technical analysis tools and proper risk management. The multi-timeframe confluence feature provides the highest probability setups, but always confirm signals with additional analysis before entering trades.
IU Inside/Harami candlestick patternDESCRIPTION
The IU Inside/Harami Candlestick Pattern indicator is designed to detect bullish and bearish inside bar formations, also known as Harami patterns. This tool gives users flexibility by allowing pattern detection based on candle wicks, bodies, or a combination of both. It highlights detected patterns using colored boxes and optional text labels on the chart, helping traders quickly identify areas of consolidation and potential reversals.
USER INPUTS :
Pattern Recognition Based on =
Choose between "Wicks", "Body", or "Both" to determine how the inside candle pattern is identified.
Show Box =
Toggle the appearance of colored boxes that highlight the pattern zone.
Show Text =
Toggle on-screen labels for "Bullish Inside" or "Bearish Inside" when patterns are detected.
INDICATOR LOGIC :
Bullish Inside Bar (Harami) is detected when:
* The current candle's high is lower and low is higher than the previous candle (wick-based),
* or the current candle’s open and close are inside the previous candle’s body (body-based),
* and the current candle is bullish while the previous is bearish.
Bearish Inside Bar (Harami) is detected when:
* The current candle's high is lower and low is higher than the previous candle (wick-based),
* or the current candle’s open and close are inside the previous candle’s body (body-based),
* and the current candle is bearish while the previous is bullish.
The user can choose wick-based, body-based, or both logics for pattern confirmation.
Boxes are drawn between the highs and lows of the pattern, and alert messages are generated upon confirmation.
Optional labels show the pattern name for quick visual identification.
WHY IT IS UNIQUE :
Offers three different logic modes: wick-based, body-based, or combined.
Highlights patterns visually with customizable boxes and labels.
Includes built-in alerts for immediate notifications.
Uses clean and transparent plotting without repainting.
HOW USER CAN BENEFIT FROM IT :
Receive real-time alerts when Inside/Harami patterns are formed.
Use the boxes and text labels to spot price compression zones and breakout potential.
Combine it with other tools like trendlines or support/resistance for enhanced accuracy.
Suitable for scalpers, swing traders, and price action traders looking to trade inside bar breakouts or reversals.
DISCLAIMER :
This indicator is not financial advice, it's for educational purposes only highlighting the power of coding( pine script) in TradingView, I am not a SEBI-registered advisor. Trading and investing involve risk, and you should consult with a qualified financial advisor before making any trading decisions. I do not guarantee profits or take responsibility for any losses you may incur.
AV BTC Pi Cycle OscillatorPi Cycle Oscillator
The oscillator version of the Pi Cycle Top Indicator. While I have found great differences in scales being used for the oscillator across various sources. The shape of the oscillator line is on the other hand the same across the board. With 2 specific versions. Either using the 111 Day SMA or the 2*350 SMA for division.
We allow for both versions. It is possible to select the formula for calculation on the input tab.
Either using (111 SMA - 2*350 SMA) / 111 SMA (default) or (111 SMA - 2*350 SMA) / 2*350 SMA .
We multiply the result by -100 so that overbought conditions fall at the top of the indicator chart and oversold at the bottom. Everyone has their own idea of the value range. This is no different.
For both formulas around 0 is overbought zone, while -200 and -70 are oversold areas. Thresholds are configurable in the input tab. I made an arbitrary choice for the thresholds.
If you want to see overbought and oversold areas on the price chart: Enable the Overbought and oversold Overlay area in the style tab. It is disabled by default.
Additionally: Pi Cycle Tops are marked with a red circle. ATH tops are marked with yellow diamonds. Grey lines marks halving days.
DT AlertsA pretty stink indicator for trading. Only use this is you don't mind losing every now and then.
Delta Spike Detector [GSK-VIZAG-AP-INDIA]📌 Delta Spike Detector – Volume Imbalance Ratio
By GSK-VIZAG-AP-INDIA
📘 Overview
This indicator highlights aggressive buying or selling activity by analyzing the imbalance between estimated Buy and Sell volume per candle. It flags moments when one side dominates the other significantly — defined by user-selectable volume ratio thresholds (10x, 15x, 20x, 25x).
📊 How It Works
Buy/Sell Volume Estimation
Approximates buyer and seller participation using candle structure:
Buy Volume = Proximity of close to low
Sell Volume = Proximity of close to high
Delta & Delta Ratio
Delta = Buy Volume − Sell Volume
Delta Ratio = Ratio of dominant volume side to the weaker side
When this ratio exceeds a threshold, it’s classified as a spike.
Spike Labels
Labels are plotted on the chart:
10x B, 15x B, 20x B, 25x B → Buy Spike Labels (below candles)
10x S, 15x S, 20x S, 25x S → Sell Spike Labels (above candles)
The color of each label reflects the spike strength.
⚙️ User Inputs
Enable/Disable Buy or Sell Spikes
Set custom delta ratio thresholds (default: 10x, 15x, 20x, 25x)
🎯 Use Cases
Spotting sudden aggressive activity (e.g. smart money moves, traps, breakouts)
Identifying short-term market exhaustion or momentum bursts
Complementing other trend or volume-based tools
⚠️ Important Notes
The script uses approximated Buy/Sell Volume based on price position, not actual order flow.
This is not a buy/sell signal generator. It should be used in context with other confirmation indicators or market structure.
✍️ Credits
Developed by GSK-VIZAG-AP-INDIA
For educational and research use only.
Range Breakout Statistics [Honestcowboy]
⯁ Overview
The Range Breakout Statistics uses a very simple system to detect ranges/consolidating markets. The principle is simple, it looks for areas where the slope of a moving average is flat compared to past values. If the moving average is flat for X amount of bars that's a range and it will draw a box.
The statistics part of the script is a bit more complicated. The aim of this script is to expand analysis of trading signals in a different way than a regular backtest. It also highlights the polyline tool, one of my favorite drawing tools on the tradingview platform.
⯁ Statistics Methods
The script has 2 different modes of analyzing a trading signals strength/robustness. It will do that for 2 signals native to the script.
Upper breakout: first price breakout at top of box, before max bars (100 bars by default)
Lower breakout: first price breakout at bottom of box, before max bars
The analysis methods themselves are straightforward and it should be possible for tradingview community to expand this type of analysis to other trading signals. This script is a demo for this analysis, yet some might still find the native signals helpful in their trading, that's why the script includes alerts for the 2 native signals. I've also added a setting to disable any data gathering, which makes script run faster if you want to automate it.
For both of the analysis methods it uses the same data, just with different calculations and drawing methods. The data set is all past price action reactions to the signals saved in a matrix. Below a chart for explaining this visually.
⯁ Method 1: Averages Projection
The idea behind this is that just showing all price action that happened after signal does not give actionable insights. It's more a spaghetti jumble mess of price action lines. So instead the script averages the data out using 3 different approaches, all selectable in the settings menu.
Geometric Average: useful as it accurately reflects compound returns over time, smoothing out the impact of large gains or losses. Accounts for volatility drift.
Arithmetic Average: a standard average calculation, can be misleading in trading due to volatility drift. It is the most basic form of averaging so I included it.
Median: useful as any big volatility huge moves after a signal does not really impact the mean as it's just the middle value of all values.
These averages are the 2 lines you will find in the middle of the projection. Having a clear difference between a lower break average and upper break average price reaction can signal significance of the trading signal instead of pure chaos.
Outside of this I also included calculations for the maximum and minimum values in the dataset. This is useful for seeing price reactions range to the signal, showing extreme losses or wins are possible. For this range I also included 2 matrices of highs and lows data. This makes it possible to draw a band between the range based on closing price and the one using high/low data.
Below is a visualisation of how the averages data is shown on chart.
⯁ Method 2: Equity Simulation
This method will feel closer to home for traders as it more closely resembles a backtest. It does not include any commissions however and also is just a visualisation of price reaction to a signal. This method will simulate what would happen if you would buy at the breakout point and hold the trade for X amount of bars. With 0 being sell at same bar close. To test robustness I've given the option to visualise Equity simulation not just for 1 simulation but a bunch of simulations.
On default settings it will draw the simulations for 0 bars holding all the way to 10 bars holding. The idea behind it is to check how stable the effect is, to have further confirmation of the significance of the signal. If price simulation line moves up on average for 0 bars all the way to 10 bars holding time that means the signal is steady.
Below is a visualisation of the Equity Simulation.
⯁ Signal filtering
For the boxes themselves where breakouts come from I've included a simple filter based on the size of the box in ATR or %. This will filter out all the boxes that are larger top to bottom than the ATR or % value you setup.
⯁ Coloring of Script
The script includes 5 color themes, each carefully created using color themes from the pantone color institute. There are no color settings or other visual settings in the script, the script themes are simple and always have colors that work well together. Equity simulation uses a gradient based on lightness to color the different lines so it's easier to differentiate them while still upper breaks having a different color than lower breaks.
This script is not created to be used in conjunction with other scripts, it will force you into a background color that matches the theme. It's purpose is a research tool for systematic trading, to analyse signals in more depth.
Metaverse color theme:
⯁ Conclusion
I hope this script will help traders get a deeper understanding of how different assets react to their assets. It should be possible to convert this script into other signals if you know how to code on the platform. It is my intention to make more publications that include this type of analysis. It is especially useful when dealing with signals that do not happen often enough, so a regular backtest is not enough to test their significance.
Price Ranged FVG📌 Price Ranged FVG
Is a clean and efficient tool designed to detect Fair Value Gaps (FVGs) with adjustable filters and structural context. It’s especially useful for traders looking to filter out insignificant gaps and focus on high-probability areas, particularly around swing breaks or structural shifts.
🧠 What is a Fair Value Gap (FVG)?
A Fair Value Gap appears when there’s a price imbalance between candles — typically after a strong move — where the market skips over certain price levels without trading there. These zones can act as potential areas for price to return to (mean reversion), or serve as support/resistance depending on market structure.
🔍 FVG Detection Types
You can choose between three different detection modes under the "FVG Detection" input:
Same Type: Only detects FVGs where the last 3 candles are in the same direction (all bullish or all bearish).
All: Detects any FVG, regardless of candle direction.
Twin Close: Detects FVGs only when the last two candles are in the same direction and close accordingly — offering a stricter confirmation.
🎯 FVG % Filters
To filter out noise or insignificant gaps, this indicator includes:
Minimum FVG % Filter: Ignores FVGs smaller than your specified percentage of the current close.
Maximum FVG % Filter: Ignores overly large gaps that may be unreliable or caused by anomalies.
These filters help focus on relevant FVGs that are more likely to act as reaction zones.
🏛 Structural Context (Swing Highs and Lows)
The indicator plots swing highs and swing lows with dots to provide structure-based context:
Set Swing Strength to 3 for detecting internal structure (shorter-term moves).
Use a higher setting like 5 to focus on external structure (more significant highs/lows).
These levels can help you determine whether an FVG is forming within a consolidation, breakout, or key structural transition.
✅ Use Case (My Personal Workflow)
I personally use this indicator to:
Filter out weak or irrelevant FVGs using the % filters.
Watch for price interaction at swing breaks — especially when an FVG aligns with a break in internal or external structure.
Refine entry and exit planning in confluence with other tools or strategies.
⚠️ Disclaimer
This indicator is not financial advice. It is a technical analysis tool intended to support your own decision-making process. Always do your own research and risk management.
EdgeXplorer - Liquidity ScopeLiquidity Scope by EdgeXplorer
Liquidity Scope is a real-time liquidity detection system developed for traders who want to track where the market is hunting stops, absorbing orders, and setting up traps — often before the average eye catches on. Built to identify the telltale behavior of liquidity sweeps and false breakouts, this tool highlights areas on the chart where price interacts with key swing points, including wicks, breaks, and retests.
⸻
🔍 What Does Liquidity Scope Do?
Liquidity Scope scans price action for swing highs and lows, tracks how price behaves around them, and visually plots zones where liquidity is likely being targeted. It tells you:
• When price wicks into a previous swing without breaking it (a liquidity probe),
• When price breaks past that level and returns (a potential retest),
• And when a sweep is complete or mitigated.
The result? A visual map of where liquidity was grabbed, where it hasn’t been yet, and where price might revisit — all drawn directly on your chart, in real time.
⸻
⚙️ How It Works – Technical Breakdown
Here’s the logic behind the engine:
1. Swing Detection
The script uses ta.pivothigh() and ta.pivotlow() to mark structural swing points, using your selected “Swings” length to define sensitivity.
2. Sweep Conditions
For each swing high or low:
• If price wicks into the level but fails to close beyond it → potential liquidity test.
• If price closes beyond the swing → it’s marked as broken.
• If price later retests the broken level from the other side → it’s tagged as a retest zone.
3. Visual Memory
Each swing level stores its own “memory state” (whether it was wicked, broken, retested, or mitigated), allowing the tool to update visuals live and avoid clutter.
4. Dynamic Zones
• When a sweep is detected, the tool draws a colored zone (box) at the sweep location, along with a supporting line.
• These zones extend forward until price clearly invalidates or mitigates them.
⸻
📈 Visual Components – What You See on the Chart
Element Meaning
Green Zones / Lines Bullish sweep: liquidity hunted below a swing low
Red Zones / Lines Bearish sweep: liquidity hunted above a swing high
Dotted Lines Wicks — price tested the level without breaking
Dashed Lines Retests — price returned to retest a broken level
Solid Lines Confirmed sweep levels with clean structure
Shaded Boxes Sweep zones extended into the future for monitoring
Faded Transparency Indicates mitigation or that the zone is cooling off
Every visual is tied to a logic branch in the code — nothing is decorative. Each shape or line has meaning tied to price behavior.
⸻
📊 Inputs & Settings Explained
Setting Description
Swings (len) Sets the pivot lookback range. Higher = fewer, stronger swing levels.
Options (opt) Controls what sweep types you want to see:
• Only Wicks → Focus on traps and fakeouts
• Only Outbreaks & Retest → Focus on confirmed moves
• Wicks + Outbreaks & Retest → See it all |
| Bull/Bear Colors | Customize how bullish vs. bearish sweeps are drawn |
| Extend Zones (extend) | When on, boxes stretch forward in time until price touches or invalidates them |
| Max Bars (maxB) | Sets how long (in bars) sweep zones will stay active before expiring |
⸻
🧠 How to Read It in Live Markets
Liquidity Scope doesn’t tell you what to do — it tells you what the market just did in relation to liquidity and structure.
Here’s how to use it:
• Green Zones (Bullish Sweeps):
Price just grabbed liquidity under a low. Watch for:
• A bounce → potential reversal
• A retest → possible long entry confirmation
• Red Zones (Bearish Sweeps):
Price swept above a high. Watch for:
• Immediate rejection → potential short zone
• Pullback and retest → trend continuation trap or fake breakout
• Wick Sweeps Only:
Often seen in range-bound markets or when market makers are testing stops.
• Retest Sweeps:
Often seen in trending markets, validating breakouts or signaling exhaustion.
⸻
🧪 Optional Use Cases & Strategy Tips
Here’s how traders on the EdgeXplorer platform use Liquidity Scope:
• 🔄 Smart Money Concepts: Use sweep zones alongside order blocks, FVGs, and breakers to confirm institutional movement.
• ⚠️ Trap Zones: Spot liquidity fakeouts where retail might be chasing early breakouts.
• 🎯 Entry/Exit Filtering: Use zones to validate entries only when price reacts cleanly around them — or exits when mitigation completes.
• 🧠 Confluence Layer: Combine with trend indicators or volume to add strength to directional bias.
⸻
🔒 Final Note on Use & Compliance
Liquidity Scope is a market behavior visualizer, not a signal generator. It helps you understand where the market might be trapping liquidity, but you are the strategy. Always pair with proper confirmation, risk management, and your own discretion.
All logic, structure, and assets in this script are © protected under ETAPX Inc. and the EdgeXplorer platform. Unauthorized sharing or monetization of this code is prohibited under company and platform policy.
Delta Volume BubblesDelta Volume Bubbles
Overview
The Delta Volume Bubbles indicator is an advanced order flow visualization tool that displays buying and selling pressure through dynamic bubble representations on your chart. Unlike traditional volume indicators that only show total volume, this indicator calculates the net delta volume (difference between buying and selling volume) and presents it as color-coded bubbles of varying sizes.
How It Works
Core Calculation Method
The indicator uses a sophisticated approach to estimate delta volume from standard OHLCV data:
1. Price Action Analysis: Analyzes the relationship between open, high, low, and close prices to determine market aggression
2. Body Ratio Calculation: body_ratio = |close - open| / (high - low)
3. Aggressive Factor: Applies multipliers based on price action:
- Strong moves (body_ratio > 0.7): 1.5x multiplier
- Moderate moves (body_ratio > 0.4): 1.2x multiplier
- Weak moves: 1.0x multiplier
4. Delta Volume Estimation:
- Buy Volume: price_change > 0 ? volume × aggressive_factor : 0
- Sell Volume: price_change < 0 ? volume × aggressive_factor : 0
- Net Delta: buy_volume - sell_volume
5. Delta Strength Normalization: delta_strength = |net_delta| / sma(volume, 20)
Percentile-Based Filtering
The indicator uses percentile filtering instead of fixed thresholds, making it adaptive to market conditions:
- Bubble Filter: Only shows bubbles when volume exceeds the specified percentile (default: 60%)
- Label Filter: Only displays numbers when volume exceeds a higher percentile (default: 90%)
- Dynamic Adaptation: Automatically adjusts to changing market volatility
Visual Elements
Bubble Sizes
- Tiny: Delta strength < 0.3
- Small: Delta strength 0.3 - 0.7
- Normal: Delta strength 0.7 - 1.2
- Large: Delta strength 1.2 - 2.0
- Huge: Delta strength > 2.0
Color Coding
- Aggressive Buy (Bright Green): Strong buying pressure with high body ratio
- Aggressive Sell (Bright Red): Strong selling pressure with high body ratio
- Passive Buy (Light Green): Moderate buying pressure
- Passive Sell (Light Red): Moderate selling pressure
Intensity Mode
Alternative coloring based on delta strength rather than flow direction:
- Gray: Low intensity (< 0.5)
- Blue: Medium intensity (0.5 - 1.0)
- Orange: High intensity (1.0 - 2.0)
- Red: Extreme intensity (> 2.0)
Parameters
Order Flow Settings
- Show Bubbles: Toggle bubble display on/off
- Bubble Volume %ile: Percentile threshold for bubble display (0-100%)
- Intensity Mode: Switch between flow-based and intensity-based coloring
Bubble Labels
- Show Numbers in Bubbles: Toggle numerical labels on/off
- Label Volume %ile: Higher percentile threshold for label display (0-100%)
Numbers are displayed in K-notation (e.g., 25000 → 25K, 1500000 → 1.5M) for better readability.
Ideal Usage Scenarios
Best Market Conditions
- High volume sessions: More accurate delta calculations
- Trending markets: Clear directional flow identification
- Breakout scenarios: Spot aggressive buying/selling at key levels
- Support/resistance testing: Identify accumulation vs distribution
Trading Applications
1. Entry Timing: Look for aggressive flow in your trade direction
2. Exit Signals: Watch for opposing aggressive flow
3. Trend Confirmation: Consistent flow direction confirms trends
4. Volume Climax: Huge bubbles may indicate exhaustion points
Optimization Tips
Parameter Adjustment
- Lower percentiles (40-60%): More bubbles, good for active markets
- Higher percentiles (70-90%): Fewer bubbles, focus on significant events
- Label percentile: Set 20-30% higher than bubble percentile for clarity
Visual Optimization
- Intensity mode: Better for identifying unusual volume spikes
- Flow mode: Better for directional bias analysis
- Label toggle: Turn off in crowded markets, on for key levels
Limitations
- Estimation-based: Uses approximation algorithms, not true order flow data
- Volume dependency: Requires accurate volume data to function properly
- Timeframe sensitivity: Works best on intraday timeframes with active volume
- Market hours: Most effective during high-volume trading sessions
Technical Notes
The indicator implements advanced Pine Script features including:
- Dynamic percentile calculations using ta.percentile_linear_interpolation()
- Conditional plotting with multiple size categories
- Custom number formatting functions
- Efficient label management to prevent display limits
This tool is designed for traders who want to understand the underlying buying and selling pressure beyond simple volume analysis, providing insights into market sentiment and potential turning points.
ONE: PEMA, EMA, SuperTrend, CPR, VIDYAThe ONE indicator is an all-in-one TradingView Pine Script that combines multiple popular trend, momentum, and volume tools into a single overlay. It is designed for senior traders and analysts who need a comprehensive yet lightweight solution to:
1. Identify dynamic price trends (PEMA & standard EMAs)
2. Capture volatility-driven reversals (SuperTrend)
3. Define key support/resistance (Central Pivot Range)
4. Measure adaptive momentum (VIDYA)
Key Advantages
Unified InterfaceNo more juggling separate scripts—activate/deactivate each component via simple inputs.
-PEMA (Price-Embedded MAs) with color-coded trend direction.
-Standard EMAs (5/13/26) for classic crossover strategies.
-SuperTrend for volatility-based stop-and-reverse signals.
-Central Pivot Range (daily & weekly) for intraday support/resistance.
-VIDYA (Variable Index Dynamic Average) for momentum that adapts to market conditions.
Adaptive Momentum Smoothing (VIDYA)Unlike fixed-length moving averages, VIDYA adjusts its sensitivity based on Chande Momentum Oscillator (CMO) or standard deviation.
- Fixed CMO option ensures consistent smoothing when you prefer a stable lookback.
- StDev option allows reactive smoothing in high-volatility environments.
- Customizable AlertsReal-time alertcondition on VIDYA color changes—ideal for automated trade entries/exits.
- Try pairing alerts with SuperTrend cross signals for high-probability setups.
Volume-Weighted Bar ColoringB ars are shaded based on volume spikes relative to an EMA of volume.
- Quickly spot institutional activity or accumulation/distribution phases.
Professional-Grade StylingClean, corporate color palette and line widths optimized for readability on both light and dark backgrounds.
Signal Interpretation
1. PEMA Green-to-Red Fill: Confirms multi-disciplinary trend reversals when the fast PEMA crosses the slow PEMA.
2. EMA Crossovers: Traditional 5/13/26 cross signals for momentum entry/exit.
3. SuperTrend Line: Trades above the line in uptrends; short when price closes below.
4. CPR Levels: Use daily CPR pivot (CP, BC, TC) for intraday range strategies; weekly pivot for broader support/resistance.
5. VIDYA Color Change: Blue to maroon or vice versa triggers alert for momentum shift.
6. Volume Coloring: Lime/red bars highlight high-volume moves; silver/gray for normal conditions.
Alert Setup
- Right-click on chart → Add Alert → Select ONE_VIDYA → Under Condition, choose VIDYA Color Alarm.
- Configure webhook/email/popup notifications for automated trading systems.
Vùng đỉnh đáy chính + Bob Volman (Dữ liệu H1)This indicator combines two powerful components into one tool designed for traders who rely on multi-timeframe structure and price action:
🔹 1. H1 Break-Based Swing Zone Detection
Identifies key swing highs and lows based on H1 "break candle" logic — where a candle closes beyond the wick of the previous candle.
When a previous high or low is broken, a new range is drawn and trend context is updated:
🟢 Uptrend = price breaks above key high → green range
🔴 Downtrend = price breaks below key low → red range
⚪ Neutral = no new break → white range
Key swing points are marked with minimal dot labels on the chart for quick structure recognition.
🔹 2. Bob Volman-Style EMAs & Engulfing Signals (from H1)
Applies EMA 15, 21, and 35 from the H1 timeframe to reflect market bias and volatility.
Highlights the area between EMA 15 and EMA 35 with a colored fill to visualize momentum:
Green = bullish bias
Red = bearish bias
Detects classic Bullish and Bearish Engulfing Candles on H1 and marks them with arrows:
🔽 Red arrow = bearish engulfing
🔼 Green arrow = bullish engulfing
Simple ## User Guide for the Simple
I. Indicator Philosophy
This indicator is not a simple system that provides only one type of signal. It is an advanced tool that analyzes the market using three independent "engines," each specializing in detecting a different type of trading opportunity. Its goal is to identify high-probability setups by filtering out market noise.
II. Legend – What You See on the Chart
Before we proceed to the signals, you need to understand what each visual element represents:
Orange Line (200 EMA): This is the main, long-term trend indicator. It acts like a river – if the price flows above it, we look for buying opportunities (LONG). If it's below, we look for selling opportunities (SHORT).
The Ribbon (green/red): Represents short-term momentum and acts as a dynamic support/resistance zone. A green ribbon suggests buying strength, while a red one suggests selling pressure.
Kijun-sen Line (blue/red): This is the medium-term "center of gravity" of the market. It shows the price equilibrium. Its position relative to the price and the ribbon is crucial for many signals.
Gray Background: This is a "NO-TRADE ZONE." It appears when the ADX indicator shows that the market is in consolidation and lacks a clear trend. Most signals are ignored in these areas.
## III. The Three Signal Engines – When to Consider a Position
The indicator generates three different types of signals, each with its own characteristics and risk profile.
1. LONG / SHORT Labels (The Pullback Engine - Conservative)
Character: Safe, conservative, trend-following. Appears the least frequently.
How it works: It looks for ideal, "textbook" conditions. For a LONG signal, all indicators must be in full alignment (price > ribbon > Kijun > orange line), the trend must be strong (high ADX), AND the price must make a pullback to the ribbon and then bounce off it.
When to consider a position: When you see this signal, you are entering a well-developed, healthy trend. It's a high-probability entry, but often not at the very beginning of the move. Ideal for traders who value safety.
2. 🔵 / 🟣 Circles (The Squeeze Engine - Moderate)
Character: Moderately aggressive, looks for the beginning of a new, dynamic move.
How it works: It searches for periods of consolidation and low volatility (when the market is "gathering energy"). The signal (a circle) appears at the moment the price breaks out of this consolidation, and the direction of the breakout is confirmed by the Kijun-sen line.
When to consider a position: When you see the price has been moving sideways for a while, and then a circle appears. This is a sign that the consolidation phase has likely ended and a new impulse is beginning. Ideal for catching "fresh" moves.
3. ⚡ Lightning Bolt (The Reversal Engine - Aggressive)
Character: Aggressive, contrarian, attempts to catch sharp reversals. This is the riskiest signal.
How it works: It ignores most of the trend filters. Its sole purpose is to find a moment where the price, after a sharp and overextended move in one direction, suddenly reverses on a strong candle with high volume.
When to consider a position: When you want to take a risk to catch the very bottom (V-bottom) or top (V-top). This signal requires the most experience. It is recommended to only take it when it appears near a significant, horizontal support or resistance level. Never take it "in a vacuum."
IV. Summary and Practical Strategy
Signal
Signal Type
Character
Ideal Market Conditions
LONG/SHORT
Pullback Entry
Conservative
A strong, developed, and healthy trend.
🔵/🟣
Squeeze Breakout
Moderate
The end of a sideways move, the beginning of a new impulse.
⚡
Sharp Reversal
Aggressive
Market panic, oversold/overbought conditions at a key S/R level.
Eksportuj do Arkuszy
OA - RS HistogramOA - RS Histogram Indicator
This indicator displays a histogram representation of Relative Strength (RS) analysis, helping traders visualize the momentum relationship between a security and a reference index.
Key Features:
RS Histogram: Shows the difference between the current RS ratio and its EMA smoothed line
Customizable Reference Index: Default set to XU100, but can be changed to any index
EMA Smoothing: Adjustable EMA period (default 21) for trend analysis
Visual Clarity: Histogram bars are colored aqua for positive values and purple for negative values
Zero Line Reference: Dotted gray line for easy identification of positive/negative zones
How It Works:
The indicator calculates the relative strength by comparing the normalized percentage changes of the current security against the selected reference index. A 5-period EMA is applied to the RS ratio, and then the difference between this smoothed RS line and a longer EMA (default 21 periods) is displayed as a histogram.
Technical Calculation:
Fetches reference index data with proper gap handling
Calculates normalized percentage changes for both security and index
Computes relative strength ratio
Applies EMA smoothing to reduce noise
Displays the difference as a histogram for clear momentum visualization
Customization Options:
Reference index selection (default: XU100)
EMA length adjustment (default: 21 periods)
Color customization for positive and negative histogram bars
Alert Conditions:
Histogram crossing above zero (potential bullish momentum shift)
Histogram crossing below zero (potential bearish momentum shift)
Usage:
This tool helps traders understand relative strength concepts through visual histogram representation. The zero-line crossovers can indicate momentum shifts in the security relative to the chosen benchmark index.
Active PMI Support/Resistance Levels [EdgeTerminal]The PMI Support & Resistance indicator revolutionizes traditional technical analysis by using Pointwise Mutual Information (PMI) - a statistical measure from information theory - to objectively identify support and resistance levels. Unlike conventional methods that rely on visual pattern recognition, this indicator provides mathematically rigorous, quantifiable evidence of price levels where significant market activity occurs.
- The Mathematical Foundation: Pointwise Mutual Information
Pointwise Mutual Information measures how much more likely two events are to occur together compared to if they were statistically independent. In our context:
Event A: Volume spikes occurring (high trading activity)
Event B: Price being at specific levels
The PMI formula calculates: PMI = log(P(A,B) / (P(A) × P(B)))
Where:
P(A,B) = Probability of volume spikes occurring at specific price levels
P(A) = Probability of volume spikes occurring anywhere
P(B) = Probability of price being at specific levels
High PMI scores indicate that volume spikes and certain price levels co-occur much more frequently than random chance would predict, revealing genuine support and resistance zones.
- Why PMI Outperforms Traditional Methods
Subjective interpretation: What one trader sees as significant, another might ignore
Confirmation bias: Tendency to see patterns that confirm existing beliefs
Inconsistent criteria: No standardized definition of "significant" volume or price action
Static analysis: Doesn't adapt to changing market conditions
No strength measurement: Can't quantify how "strong" a level truly is
PMI Advantages:
✅ Objective & Quantifiable: Mathematical proof of significance, not visual guesswork
✅ Statistical Rigor: Levels backed by information theory and probability
✅ Strength Scoring: PMI scores rank levels by statistical significance
✅ Adaptive: Automatically adjusts to different market volatility regimes
✅ Eliminates Bias: Computer-calculated, removing human interpretation errors
✅ Market Structure Aware: Reveals the underlying order flow concentrations
- How It Works
Data Processing Pipeline:
Volume Analysis: Identifies volume spikes using configurable thresholds
Price Binning: Divides price range into discrete levels for analysis
Co-occurrence Calculation: Measures how often volume spikes happen at each price level
PMI Computation: Calculates statistical significance for each price level
Level Filtering: Shows only levels exceeding minimum PMI thresholds
Dynamic Updates: Refreshes levels periodically while maintaining historical traces
Visual System:
Current Levels: Bright, thick lines with PMI scores - your actionable levels
Historical Traces: Faded previous levels showing market structure evolution
Strength Tiers: Line styles indicate PMI strength (solid/dashed/dotted)
Color Coding: Green for support, red for resistance
Info Table: Real-time display of strongest levels with scores
- Indicator Settings:
Core Parameters
Lookback Period (Default: 200)
Lower (50-100): More responsive to recent price action, catches short-term levels
Higher (300-500): Focuses on major historical levels, more stable but less responsive
Best for: Day trading (100-150), Swing trading (200-300), Position trading (400-500)
Volume Spike Threshold (Default: 1.5)
Lower (1.2-1.4): More sensitive, catches smaller volume increases, more levels detected
Higher (2.0-3.0): Only major volume surges count, fewer but stronger signals
Market dependent: High-volume stocks may need higher thresholds (2.0+), low-volume stocks lower (1.2-1.3)
Price Bins (Default: 50)
Lower (20-30): Broader price zones, less precise but captures wider areas
Higher (70-100): More granular levels, precise but may be overly specific
Volatility dependent: High volatility assets benefit from more bins (70+)
Minimum PMI Score (Default: 0.5)
Lower (0.2-0.4): Shows more levels including weaker ones, comprehensive view
Higher (1.0-2.0): Only statistically strong levels, cleaner chart
Progressive filtering: Start with 0.5, increase if too cluttered
Max Levels to Show (Default: 8)
Fewer (3-5): Clean chart focusing on strongest levels only
More (10-15): Comprehensive view but may clutter chart
Strategy dependent: Scalpers prefer fewer (3-5), swing traders more (8-12)
Historical Tracking Settings
Update Frequency (Default: 20 bars)
Lower (5-10): More frequent updates, captures rapid market changes
Higher (50-100): Less frequent updates, focuses on major structural shifts
Timeframe scaling: 1-minute charts need lower frequency (5-10), daily charts higher (50+)
Show Historical Levels (Default: True)
Enables the "breadcrumb trail" effect showing evolution of support/resistance
Disable for cleaner charts focusing only on current levels
Max Historical Marks (Default: 50)
Lower (20-30): Less memory usage, shorter history
Higher (100-200): Longer historical context but more resource intensive
Fade Strength (Default: 0.8)
Lower (0.5-0.6): Historical levels more visible
Higher (0.9-0.95): Historical levels very subtle
Visual Settings
Support/Resistance Colors: Choose colors that contrast well with your chart theme Line Width: Thicker lines (3-4) for better visibility on busy charts Show PMI Scores: Toggle labels showing statistical strength Label Size: Adjust based on screen resolution and chart zoom level
- Most Effective Usage Strategies
For Day Trading:
Setup: Lookback 100-150, Volume Threshold 1.8-2.2, Update Frequency 10-15
Use PMI levels as bounce/rejection points for scalp entries
Higher PMI scores (>1.5) offer better probability setups
Watch for volume spike confirmations at levels
For Swing Trading:
Setup: Lookback 200-300, Volume Threshold 1.5-2.0, Update Frequency 20-30
Enter on pullbacks to high PMI support levels
Target next resistance level with PMI score >1.0
Hold through minor levels, exit at major PMI levels
For Position Trading:
Setup: Lookback 400-500, Volume Threshold 2.0+, Update Frequency 50+
Focus on PMI scores >2.0 for major structural levels
Use for portfolio entry/exit decisions
Combine with fundamental analysis for timing
- Trading Applications:
Entry Strategies:
PMI Bounce Trades
Price approaches high PMI support level (>1.0)
Wait for volume spike confirmation (orange triangles)
Enter long on bullish price action at the level
Stop loss just below the PMI level
Target: Next PMI resistance level
PMI Breakout Trades
Price consolidates near high PMI level
Volume increases (watch for orange triangles)
Enter on decisive break with volume
Previous resistance becomes new support
Target: Next major PMI level
PMI Rejection Trades
Price approaches PMI resistance with momentum
Watch for rejection signals and volume spikes
Enter short on failure to break through
Stop above the PMI level
Target: Next PMI support level
Risk Management:
Stop Loss Placement
Place stops 0.1-0.5% beyond PMI levels (adjust for volatility)
Higher PMI scores warrant tighter stops
Use ATR-based stops for volatile assets
Position Sizing
Larger positions at PMI levels >2.0 (highest conviction)
Smaller positions at PMI levels 0.5-1.0 (lower conviction)
Scale out at multiple PMI targets
- Key Warning Signs & What to Watch For
Red Flags:
🚨 Very Low PMI Scores (<0.3): Weak statistical significance, avoid trading
🚨 No Volume Confirmation: PMI level without recent volume spikes may be stale
🚨 Overcrowded Levels: Too many levels close together suggests poor parameter tuning
🚨 Outdated Levels: Historical traces are reference only, not tradeable
Optimization Tips:
✅ Regular Recalibration: Adjust parameters monthly based on market regime changes
✅ Volume Context: Always check for recent volume activity at PMI levels
✅ Multiple Timeframes: Confirm PMI levels across different timeframes
✅ Market Conditions: Higher thresholds during high volatility periods
Interpreting PMI Scores
PMI Score Ranges:
0.5-1.0: Moderate statistical significance, proceed with caution
1.0-1.5: Good significance, reliable for most trading strategies
1.5-2.0: Strong significance, high-confidence trade setups
2.0+: Very strong significance, institutional-grade levels
Historical Context: The historical trace system shows how support and resistance evolve over time. When current levels align with multiple historical traces, it indicates persistent market memory at those prices, significantly increasing the level's reliability.
