[Pandora's Chambers] Liquidity Zones F[attr_rep] V1The Liquidity Zones F V1 indicator merges visual liquidity‐zone analysis with a mathematical model that quantifies opposing market forces. It scans a historical lookback window to compute average volume (avgVol), aggregates cumulative buy/sell volumes, detects significant wicks, and renders main and dotted lines plus background fills to show pressure at each price level. After constructing these graphic elements, it scores each signal (up to 130 points) and converts it into a percentage (0–100%) mapped onto a five‑domain polar scale:
0–50: Negative dominance
50–60: Initial equilibrium
60–75: Positive momentum build‑up
75–80: Decay of positive effect
80–100: Positive overextension with reversal potential
1. How It Works
Lookback & avgVol:
– Computes a simple moving average of volume over lookback bars.
cumBuy / cumSell:
– Adds volume to cumBuy when bar close > open; to cumSell when close < open.
Wick Detection:
– Flags bars whose wick length exceeds body length; records creation price, wickFactor, and volume.
Line Creation:
– For each strong wick, draws a solid “main” line and a dotted “secondary” line, with placeholder labels.
Scoring & Chance%:
– On each new bar, computes volume delta since creation, applies weighted scoring (wickFactor, volume ratio, proximity, leverage, imbalance) up to 130 points.
– Converts score to chancePerc (0–100%).
Style & Label Updates:
– ≥76%: dashed line; 50–76%: solid or dotted by classification; <50%: dotted “F_attr.”
– Labels show “F_rep …” or “F_attr X%.”
Magnet Lines:
– Identifies lowest bullish‐main price and highest bearish‐main price, computes midPrice and relative fraction, then calculates targetPrice A/B.
– Draws dotted magnet lines and labels “liquidity force (+)/(–)” beside price chart.
Background Fill:
– Fills area between midPrice and bullishTarget in bullish color; between midPrice and bearishTarget in bearish color.
2. Settings & Inputs
Parameter Default Description
lookback 200 Number of bars to calculate average and cumulative volumes.
offsetDot 0.0002 Vertical spacing between dotted lines.
ratioLineLength 8 Length (in bars) of the magnet line.
ratioLineOffset 8 Horizontal offset (bars) for magnet placement.
ratioLineWidth 1 Width of magnet lines (1–10).
bullish_line_color #00BCD4 Color for bullish main and dotted lines.
bearish_line_color #BA68C8 Color for bearish main and dotted lines.
Advanced Tweaks:
Adjust the number of dotted “grade” lines per wick or modify the scoring thresholds for custom classification.
3. Interpretation & Polar Scale
The x value (chancePerc) is interpreted across five polar domains for concise force balance reading:
0 ≤ x < 50: Selling dominance – consider exit or avoidance.
50 ≤ x < 60: Early balance – await confirmation.
60 ≤ x < 75: Rising buy pressure.
75 ≤ x < 80: Slowing bullish momentum.
80 ≤ x ≤ 100: Overextended bullish – watch for potential reversal.
Hacim
[Pandora's Chambers] Liquidity Grab Magnet Tool VDV_V6Pandora’s Chambers – Liquidity Grab Magnet Tool VDV_V6
The “Pandora’s Chambers – Liquidity Grab Magnet Tool VDV_V6” indicator is built as a mathematical function library in Pine Script® that identifies “magnet” points (local maxima) of price action density, based on a combination of frequency analysis (wick density) and Fibonacci values. The algorithm considers the distribution of wick touches within a lookback range, builds volume profiles at different price levels, and then marks the strongest dynamic support and resistance levels. This structure has been empirically proven to be particularly effective for rapid scalping, as these “magnet points” are characterized by strong market forces influencing sharp price movements.
Background and Methodology
Price Range Division into Bins: The range between the minimum and maximum price over the last N candles is divided into k equal bins.
Wick Touch Counting: For each bin, the number of times the bin center falls within the wick body of a candle is calculated.
Bullish and Bearish Candles:
For bullish candles (close > open), touches between the low and the open are counted.
For bearish candles (close < open), touches between the open and the high are counted.
Density Function: For each bin j, a density function ρ(j) = number of touches in j is obtained.
Strongest Levels: The strongest support level below the current price is arg max_{binCenter < close} ρ(j), and the resistance – above the price.
Integrated Volume Profile: For each bin, the trading volume of the candles where the bin center is included in the wick body is accumulated, adding a volume dimension to the selection of magnet points.
The Secret Algorithm
The algorithm utilizes several key constructs:
Dynamic Trailing with Sensitivity Threshold (trailTolerance): To avoid market noise, the line is redrawn only when the new point differs by Δ ≥ trailTolerance from the previous level.
Fibonacci Value Integration: After identifying support (sell-side) and resistance (buy-side) levels, Fibonacci lines are calculated at n ratios (0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0), with the option to extend them to additional "snap" values (1.618, 2.618). Each line also displays the corresponding trading volume in its paired bin, providing an indication of market depth at the Fibonacci point.
Visualization and Functionality:
Clear and Dynamic Colored Lines: Support is colored purple, resistance is colored cyan.
Transparent Labels: Displaying the actual volume value for each level.
“Magnet Point” Markers (red dots): Appearing upon the breakout of a line – enabling the identification of rapid scalping opportunities. Crossing of a line indicates the price "drinking liquidity." A red dot appears when the price reaches equilibrium.
Continued Liquidity: If the line moves away from the price, liquidity is expected to continue.
Key Parameters
Parameter Description
Lookback Bars Number of candles for historical analysis; size of the discrete dimension for density distribution.
Bin Count Number of bins for dividing the price range; determines the analysis resolution.
Tolerance Minimum threshold for a level change before a new line is created (to reduce noise).
Fibonacci Offsets Number of candles to the right to display Fibonacci lines with volume labels.
Show Liquidity Snap Toggle to display extended "snap" values outside the main range.
Line Width & Color Adjustable thickness, style, and color of support and resistance lines.
Label Size/Offset Adjustment of label text size and position – to prevent overlaps on the chart.
Export to Sheets
How to Use for Scalping
Identify the Magnet Point: Follow the red dot (•) the moment the price crosses a liquidity level downwards/upwards.
Parameter Adjustment: To increase sensitivity for scalping – reduce the Lookback or increase the Bin Count.
Market Depth Confirmation: Use the volume labels alongside the Fibonacci lines to confirm that the point is indeed accompanied by significant volume movement.
Mathematical Conclusion
The indicator combines statistical principles of density and historical memory with Fibonacci geometry, in a configuration that allows for the identification of reliable “magnet points.” For quantitative traders, this is a formal tool for drawing conclusions about market forces in the language of density functions and volume profiles, providing an ideal environment for rapid and precise scalps.
צור מחדש אבל תחליף את המילים סופורט וריסיסטנס לליקווידיטי
בטח, הנה הגרסה המחודשת של התיאור עם החלפת המילים "סופורט" ו"ריסיסטנס" ב"ליקווידיטי":
חדרי פנדורה – כלי מגנט ללכידת נזילות VDV_V6
האינדיקטור “חדרי פנדורה – כלי מגנט ללכידת נזילות VDV_V6” נבנה כספריית פונקציות מתמטית ב‑Pine Script® המזהה נקודות “מגנט” (מקסימום מקומי) של צפיפות תנועת המחיר, על בסיס שילוב של ניתוח תדרים (צפיפות וויקים) וערכי פיבונאצ’י. האלגוריתם מתייחס להתפלגות נגיעות הוויקים בתוך טווח הסתכלות (lookback), בונה פרופילי נפח במחיריים שונים, ולאחר מכן מסמן את רמות הנזילות הדינמיות החזקות ביותר. המבנה הוכח אמפירית כיעיל במיוחד לסקאלפינג מהיר, שכן “נקודות המגנט” מתאפיינות בכוחות שוק חזקים המשפיעים על תנועה חדה של המחיר.
רקע ומתודולוגיה
חלוקת טווח המחיר לבינים (bins): הטווח בין המחיר המינימלי למקסימלי ב־N הנרות האחרונים מחולק ל־k תאים שווים.
בכל תא מחשבים את מספר הפעמים שבהן מרכז התא נכנס לתוך גוף הוויק (wick) של הנר.
נרות בולשים ודובשים:
בנרות בולשים (close > open) נספרים מגעים בין ה־low ל־open.
בנרות דובשים (close < open) נספרים מגעים בין ה־open ל־high.
פונקציית צפיפות (Density Function): עבור כל תא j מתקבלת פונקציית צפיפות ρ(j) = מספר המגעים ב־j.
הרמה החזקה ביותר מתחת למחיר הנוכחי היא arg max_{binCenter < close} ρ(j), ולהתנגדות – מעל המחיר.
פרופיל נפח משולב (Volume Profile): לכל תא מצטבר נפח המסחר של הנרות שבהם מרכז התא נכלל בגוף הוויק, מה שמוסיף ממד נפחי לבחירת נקודות המגנט.
האלגוריתם הסודי
האלגוריתם עושה שימוש בכמה קונסטרוקטים עיקריים:
טריילינג דינמי עם סף רגישות (trailTolerance): כדי למנוע רעשי שוק, הקו ניזון מחדש רק כאשר הנקודה החדשה שונה ב־Δ ≥ trailTolerance מהרמה הקודמת.
שילוב ערכי פיבונאצ’י: לאחר זיהוי רמות נזילות (sell-side) ורמות נזילות (buy-side), מחושבים קווי פיבונאצ’י ב־n יחסיות (0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0), ואפשרות להרחבתם לערכי סנאפ נוספים (1.618, 2.618). כל קו מציג גם את נפח המסחר המתאים בתא התאום שלו, מה שנותן אינדיקציה לקריאות עומק השוק בנקודת פי
You stopped this response
Giv'atayim, Israel
צור מחדש אבל תחליף את המילים סופורט וריסיסטנס לליקווידיטי
באנגלית
Okay, here's the revised English description with "support" and "resistance" replaced by "liquidity":
Pandora’s Chambers – Liquidity Grab Magnet Tool VDV_V6
The “Pandora’s Chambers – Liquidity Grab Magnet Tool VDV_V6” indicator is built as a mathematical function library in Pine Script® that identifies “magnet” points (local maxima) of price action density, based on a combination of frequency analysis (wick density) and Fibonacci values. The algorithm considers the distribution of wick touches within a lookback range, builds volume profiles at different price levels, and then marks the strongest dynamic liquidity levels. This structure has been empirically proven to be particularly effective for rapid scalping, as these “magnet points” are characterized by strong market forces influencing sharp price movements.
Background and Methodology
Price Range Division into Bins: The range between the minimum and maximum price over the last N candles is divided into k equal bins.
Wick Touch Counting: For each bin, the number of times the bin center falls within the wick body of a candle is calculated.
Bullish and Bearish Candles:
For bullish candles (close > open), touches between the low and the open are counted.
For bearish candles (close < open), touches between the open and the high are counted.
Density Function: For each bin j, a density function ρ(j) = number of touches in j is obtained.
Strongest Levels: The strongest sell-side liquidity level below the current price is arg max_{binCenter < close} ρ(j), and the buy-side liquidity – above the price.
Integrated Volume Profile: For each bin, the trading volume of the candles where the bin center is included in the wick body is accumulated, adding a volume dimension to the selection of magnet points.
The Secret Algorithm
The algorithm utilizes several key constructs:
Dynamic Trailing with Sensitivity Threshold (trailTolerance): To avoid market noise, the line is redrawn only when the new point differs by Δ ≥ trailTolerance from the previous level.
Fibonacci Value Integration: After identifying sell-side liquidity and buy-side liquidity levels, Fibonacci lines are calculated at n ratios (0.0, 0.236, 0.382, 0.5, 0.618, 0.786, 1.0), with the option to extend them to additional "snap" values (1.618, 2.618). Each line also displays the corresponding trading volume in its paired bin, providing an indication of market depth at the Fibonacci point.
Visualization and Functionality:
Clear and Dynamic Colored Lines: Sell-side liquidity is colored purple, buy-side liquidity is colored cyan. Crossing of a line indicates the price "drinking liquidity."
Transparent Labels: Displaying the actual volume value for each level.
“Magnet Point” Markers (red dots): Appearing upon the breakout of a line – enabling the identification of rapid scalping opportunities. A red dot appears when the price reaches equilibrium. If the line moves away from the price, liquidity is expected to continue.
Key Parameters
Parameter Description
Lookback Bars Number of candles for historical analysis; size of the discrete dimension for density distribution.
Bin Count Number of bins for dividing the price range; determines the analysis resolution.
Tolerance Minimum threshold for a level change before a new line is created (to reduce noise).
Fibonacci Offsets Number of candles to the right to display Fibonacci lines with volume labels.
Show Liquidity Snap Toggle to display extended "snap" values outside the main range.
Line Width & Color Adjustable thickness, style, and color of liquidity lines.
Label Size/Offset Adjustment of label text size and position – to prevent overlaps on the chart.
Export to Sheets
How to Use for Scalping
Identify the Magnet Point: Follow the red dot (•) the moment the price crosses a liquidity level downwards/upwards.
Parameter Adjustment: To increase sensitivity for scalping – reduce the Lookback or increase the Bin Count.
Market Depth Confirmation: Use the volume labels alongside the Fibonacci lines to confirm that the point is indeed accompanied by significant volume movement.
Mathematical Conclusion
The indicator combines statistical principles of density and historical memory with Fibonacci geometry, in a configuration that allows for the identification of reliable “magnet points.” For quantitative traders, this is a formal tool for drawing conclusions about market forces in the language of density functions and volume profiles, providing an ideal environment for rapid and precise scalps.
[Pandora's Chambers] BUY/SELL Blocks + Strength FCBased on the secret technique of ATTA,
Traditional price action analysis techniques, such as ICT (Inner Circle Trader), are often based on subjective interpretations and frequently miss the true structure of the market according to the Wyckoff method. The " BUY/SELL Blocks + Strength FC" indicator aims to correct this problem by automatically and accurately identifying buy/sell "blocks" according to Wyckoff principles, calculating volume strength, filtering breached blocks, and displaying precise support and resistance levels.
Indicator Highlights
Buy/Sell Blocks Identification
Uses the ta.pivothigh and ta.pivotlow functions to locate upper and lower pivot points, and draws a "box" between the two points to represent the block.
Each block is automatically extended to the right of the chart (can be disabled in settings) for a fixed number of bars or until the end of the chart.
Colors are configurable: turquoise shades for buy blocks, and purple for sell blocks.
Volume Strength Calculation and Update
In each candle, positive volume (in a rising market) or negative volume (in a falling market) is added to the relevant block.
Displays in percentages which side (buyers/sellers) controls the block: a label on the block shows +XX% or -XX%.
Changes the background color of the box to gray when the net volume flips (e.g., a strong sell block receives a net positive).
Filtering Breached Blocks
Option to automatically filter and remove blocks where the price has closed above the top of the sell block or below the bottom of the buy block, in order to maintain a clean and focused chart.
"Adjusted" Fibonacci Grid
In the last calculated bars, the indicator identifies the nearest high support level (sup) and the nearest low resistance level (res) among all existing blocks.
Based on sup and res, a Fibonacci grid of 0%, 25%, 50%, 75%, and 100% is constructed, automatically updating as the chart progresses.
What is so new here?
Accuracy according to Wyckoff and not personal interpretation: In the Wyckoff method, market oscillations are built on supply and demand balances in precise price gaps. Here, each block is built directly on pivots from a number of bars back, and not on feelings of an "area" as is sometimes done in ICT techniques.
Quantitative measurement of control: The indicator does not settle for a visual identification of a block but calculates for each block the buy volume versus the sell volume, and clearly displays who is in control.
Automatic filtering to maintain relevance: Breached blocks are removed, so only the strong areas that have not yet been closed remain.
Full integration with modern price action: Understanding price movement is measured here objectively, leaving no room for subjective interpretations of "structure breaks" or "diagonal waves" that standard tools do not support.
Why is the existing price action not enough?
Inconsistency in defining supply and demand zones: Many techniques rely on manual marking of "buy zones" only, without fixed criteria (number of bars back, low highs, volume, etc.).
Scarcity of quantitative indicators: Without calculating net volume, it is difficult to know if a particular block is truly supported by the power of buyers or sellers.
Net invalidation of blocks that have been violated: Repeated breaches of support and resistance areas below/above their boundaries confuse the trader, while here they are automatically removed.
The " BUY/SELL Blocks + Strength FC" indicator comes to correct all these shortcomings, and provides the user with an objective, accurate, and quantitative framework for understanding the dynamics of the market and identifying volume-based support and resistance areas, according to the principles of the Wyckoff method.
[Pandora's Chambers] Apex-Flux NavigatorThe " Apex Flux Navigator FC" indicator, whose name alludes to the unveiling of hidden market forces, offers a rich visual representation of market pressure by combining volume-based pivot analysis with RSI, including a dynamic Fibonacci grid, balanced pressure lines, and highlighted boxes for quick readability. The term "Chambers" in its name refers to the way the indicator frames the balance of power between buyers and sellers within the space defined by two consecutive pivot lines, essentially creating visual chambers that encapsulate this ongoing struggle. The grid is built according to the 25%, 38.2%, 50%, 61.8%, and 75% levels, marking key support and resistance points. Crucially, this indicator allows you to spot pinpoint momentum divergences against volume, offering insights into potential trend reversals or continuations. The indicator also calculates cumulative buy/sell percentages since the formation of each pivot, displays an average Buy/Sell ratio for each point, uses a smart algorithm that analyzes the length of movement against speed, and draws backgrounds that outline liquidity zones based on Fibonacci ratios of volume and overbought/oversold areas (boxes) to clearly and legibly highlight buyer/seller pressure zones. Furthermore, the rapid identification of pressure zones and momentum shifts can assist in recognizing opportunities for quick scalping trades. Additionally, the width and spacing of the pressure lines visually represent the current market volatility and the difference in liquidity between buyers and sellers.
General Description
The indicator enables automatic identification of pivot points (highs and lows) based on buy/sell activity and TradingView RSI.
It draws vertical lines connecting the full pivot high to the full pivot low, creating a standard Fibonacci grid, and adds balanced pressure lines on the price sides with F--/F+/(F++) annotations corresponding to the degree of TradingView pressure.
How it Works
Pivot Identification – Uses ta.pivothigh and ta.pivotlow with the Pivot Sensitivity parameter to determine highs and lows.
Volume and RSI Collection – The f_addPivot function stores buy/sell volume according to the day's fluctuations and initial RSI; in each bar, the cumulative volume and RSI are updated to calculate a dynamic average.
Creation of Lines and Pressure Points – Calculates pressure percentages based on volume and displays them through dotted/solid lines and labels, including dynamic colors and backgrounds (boxes) for visual illustration using the TradingView “Pressure Lines” technique.
How to Interpret the Output
Dotted lines indicate Liquidity zones where the dominant side's volume is particularly strong and may mark areas that the price is drawn to in order to achieve equilibrium.
Labels with text (“B: xx% | RSI yy%”) display the buy/sell percentage and the average RSI since the pivot's creation together.
F--/F+/F++ annotations reflect a pressure quality scale using the f_getAnnotation function based on pressure percentages.
How to Use
Select “Add to chart” to attach the indicator to the chart.
Through the indicator's settings, you can change Pivot Sensitivity, Fibonacci Grid Length, RSI Period, and more.
Inputs and Settings
Pivot Sensitivity (default: 3)
Extend Pressure Lines (default: off)
RSI Period (default: 14)
Fibonacci Grid Length, Color, Offset
Colors and line styles for the reporting mode
Tips and Recommendations
Use a timeframe that reflects appropriate volatility (e.g., H4/D) to reduce noise; the shorter the timeframe, the more fluid the information the indicator presents.
To improve identification accuracy, combine with moving averages or additional Fibonacci tools.
Avoid automated trading based on the indicator alone – always require confirmation from an additional indicator.
Trade Smart – Let the Apex Flux Navigator FC guide you to significant market pressure levels!
Climax Detector (Buy & Sell)This indicator identifies potential Buying Climax (BC) and Selling Climax (SC) events based on volume spikes relative to historical averages.
• Buying Climax (BC):
• Detected when a green candle forms with volume significantly higher than the average (default: 2×).
• Often signals the end of an uptrend or distribution phase.
• Selling Climax (SC):
• Detected when a red candle forms with very high volume (default: 2× average).
• Often occurs at the end of a downtrend, suggesting panic selling and potential accumulation.
How it works:
• Calculates a moving average of volume over a user-defined period (default: 20 candles)
• Flags a climax when current volume exceeds the defined multiplier (default: 2.0×)
• Marks:
• BC with an orange triangle above the bar
• SC with a fuchsia triangle below the bar
Customizable Settings:
• Volume spike sensitivity
• Lookback period for average volume
Use Cases:
• Spot possible trend exhaustion
• Confirm Wyckoff phases
• Combine with support/resistance for reversal entries
Disclaimer: This tool is designed to assist in identifying high-probability exhaustion zones but should be used alongside other confirmations or strategies.
Liquidity and S&R Zones╔══════════════════════════════════════════════════════════════════════╗
║ Description ║
╚══════════════════════════════════════════════════════════════════════╝
This indicator identifies liquidity zones and support/resistance (S&R) levels
using pivot points and volume analysis. Liquidity zones highlight areas of high
trading activity, while S&R levels mark key price levels where price may reverse
or break. Breakouts are confirmed with a volume oscillator and visualized with
shapes. Alerts are provided for significant S&R breakouts.
╔══════════════════════════════════════════════════════════════════════╗
║ User Guide ║
╚══════════════════════════════════════════════════════════════════════╝
#### Overview
This indicator detects liquidity zones and support/resistance (S&R) levels
using pivot points and volume analysis. Liquidity zones highlight areas of
high trading activity, often targeted by institutional traders. S&R levels
indicate key price levels where price may reverse or break, with breakouts
confirmed by a volume oscillator. The indicator is designed for traders
seeking to trade breakouts or reversals at critical levels.
#### Features
- **Liquidity Zones**: Identifies pivot highs/lows with high-volume confirmation.
- **Support/Resistance Levels**: Plots dynamic S&R lines based on pivot points.
- **Breakout Signals**: Displays shapes for price crossing S&R levels with volume confirmation.
- **Volume Oscillator**: Uses short/long EMA difference to confirm breakouts.
- **Alerts**: Notifies users of support/resistance breakouts.
#### Input Parameters
- **Liquidity Settings**:
- *Liquidity Lookback Period*: Bars for average volume (default: 50).
- *Liquidity Volume Threshold Multiplier*: Volume multiplier for liquidity zones (default: 1.5).
- *Liquidity Pivot Lookback*: Bars for pivot detection (default: 5).
- **S&R Settings**:
- *Show Breaks*: Toggle breakout shapes (default: true).
- *Left/Right Bars*: Bars for S&R pivot detection (default: 15).
- *S&R Volume Threshold*: Minimum oscillator value for breakouts (default: 20).
- **Style Settings**: Predefined colors for liquidity and S&R visualization.
#### Usage
1. Apply the indicator to a chart (e.g., 1H, 4H, or D timeframes recommended).
2. Adjust input parameters to suit the instrument and timeframe:
- Increase `liqLookback` for smoother volume averages on lower timeframes.
- Adjust `leftBars` and `rightBars` for more/less sensitive S&R levels.
- Set `srVolumeThresh` based on typical oscillator values (plot `osc` to calibrate).
3. Monitor liquidity zones (red/green/yellow crosses) and S&R lines (red/green).
4. Watch for breakout signals (shapes) when price crosses S&R levels with volume confirmation.
5. Set up alerts for "Support Broken" or "Resistance Broken" to receive notifications.
#### Recommended Settings
- **Timeframes**: 1H, 4H, or D for reliable signals.
- **Instruments**: Assets with good volume (e.g., crypto, forex, indices).
- **Liquidity**: Increase `liqVolumeThreshold` (e.g., 2.0) for stricter zones.
- **S&R**: Use `leftBars = rightBars = 10` for faster markets.
#### Cautions
- Ensure sufficient chart history for pivot and volume calculations.
- High `liqLookback` or `leftBars` may delay signals on lower timeframes.
- Volume oscillator requires accurate volume data; test on reliable instruments.
- Backtest breakout signals, as false breakouts can occur in choppy markets.
#### Customization Ideas
- Add Fibonacci levels to complement S&R zones.
- Integrate with trend indicators (e.g., EMA) to filter breakouts.
- Visualize volume oscillator as a histogram for calibration.
- Extend liquidity zones with boxes to highlight price ranges.
#### Notes
- Combine with other analysis for a complete trading system.
- Test thoroughly in a demo account before live trading.
- Contact the author for support or feature requests.
Happy trading, and may your trades align with the market’s key levels! 🚀
Shockwave⚡️ Shockwave – Precision Momentum Strategy
🔹 Purpose
Shockwave is a precision-engineered trend and momentum strategy designed for aggressive, high-conviction trades. Built for volatile markets like crypto, this system enters only when trend, volume, and momentum are fully aligned — then exits intelligently using layered profit targets and trend weakening logic.
It filters out false breakouts, traps, and low-quality setups using advanced multi-factor confirmation. Ideal for trend-following traders who want cleaner signals, no repainting, and adaptive position handling.
🔹 Indicator Breakdown
1️⃣ ZLEMA + Gradient Filter (Trend Core)
Defines the trend using a Zero Lag EMA (ZLEMA) for responsiveness.
Gradient slope confirms acceleration or weakening in trend direction.
Uptrend: ZLEMA is rising and slope > 0.
Downtrend: ZLEMA is falling and slope < 0.
2️⃣ Smoothed CCI (Momentum Confirmation)
Uses ZLEMA as the source for CCI to avoid noise.
Bullish momentum: CCI rising above 0.
Bearish momentum: CCI falling below 0.
Filters out chop and premature entries.
3️⃣ Volume Spike Filter
Median-based filter confirms breakout volume integrity.
Requires volume > 1.5x median of previous candles.
Avoids low-volume whipsaws.
4️⃣ Vortex Indicator (Trend Strength Confirmation)
Confirms directional conviction by comparing VI+ vs VI–.
Long: VI+ > VI– and threshold difference is met.
Short: VI– > VI+ and trend strength is validated.
5️⃣ Wick Trap Filter (Reversal Trap Detection)
Blocks entries on manipulative upper/lower wick patterns.
Longs rejected if upper wick > 1.5× body and close is weak.
Shorts rejected if lower wick > 1.5× body and close is strong.
🔹 Strategy Logic & Trade Execution
✅ Entry Conditions
A trade is entered only when all the following align:
ZLEMA trend direction is confirmed.
CCI momentum matches the trend.
Volume spike confirms participation.
Vortex difference meets strength threshold.
No wick trap is present.
✅ Exit Conditions
TP1: 50% of the position is closed at the first profit level.
TP2: Remaining 50% is closed at the second target.
Weak Trend Exit: If ZLEMA slope flips against the trade, the position is closed early.
A 1-bar cooldown delay is enforced after closing to prevent same-bar reentry.
🔹 Take-Profit System
TP1: 50% close at +2% for longs / –2% for shorts
TP2: Full close at +4% for longs / –4% for shorts
Limit orders are used for precise profit-taking
TP1/TP2 status is tracked and displayed in the live dashboard
🔹 Risk Management (Important)
🚫 This strategy does not include a stop-loss by default.
Trades are exited using trend reversal detection or TP targets.
💡 Suggested risk controls:
Add a manual stop-loss based on recent swing high/low
Use appropriate position sizing based on volatility
Apply the strategy in strong trending environments
🔹 Default Backtest Settings
Initial Capital: $1,000
Position Size: 10% of equity per trade
Commission: 0.05%
Slippage: 1
Strategy Date Filter: Adjustable (default: 2023–2029)
🔹 How to Use Shockwave
Apply to any chart (best results on 1H or higher).
Review backtest performance.
Adjust take-profit percentages or thresholds as needed.
Use in strongly trending markets — avoid sideways ranges.
Add your own stop-loss if desired.
⚠️ Disclaimer
This strategy is for educational and informational purposes only. It is not financial advice. Trading involves risk, and past performance does not guarantee future results. Always test thoroughly and manage your own risk.
🚀 Why Use Shockwave?
✔ Multi-layer confirmation for high-quality entries
✔ Non-repainting logic for backtest/live consistency
✔ Adaptive trend/momentum filtering
✔ Dual profit targets for smart trade management
✔ Visual dashboard with live tracking
TrendScopeTrendScope is a custom-built, multi-factor trading tool designed to identify high-probability market entries and exits using a combination of trend structure, volume dynamics, and momentum behavior. Unlike traditional oscillators, it does not rely on bounded cyclical formulas but instead analyzes real-time price-volume relationships and trend integrity.
🔍 Key Features
EMA Confluence Analysis: Detects trend strength and alignment across EMAs from 5 to 800 periods.
Volume Spike Detection: Flags significant increases in trading volume following periods of stagnation—useful for breakout confirmation.
Order Flow Momentum: Measures buying vs. selling pressure based on volume-weighted price action, signaling directional conviction.
Reversal Alerts: Identifies divergences between price and momentum (e.g., volume-based net flow), warning of potential trend shifts.
Clean Visual Markers: BUY/SELL labels, directional volume spikes, and a trend strength table for clarity in execution.
⏱️ Best Used On
Timeframes: 4H, 8H, 12H, 1D (Daily)
Style: Swing trading, trend trading, and momentum-based entries
Markets: Crypto, Forex, Commodities, and Indices (works well on liquid assets with healthy volume)
This indicator is especially useful for traders who want directional confirmation during trending conditions and a visual edge for spotting volume-driven breakouts or early-stage reversals.
I made this for my own benefit since I didn't really find any non-paid options out there that work in a similar fashion and I wanted to keep it simple and was inspired by Delorean Trading Indicators.
Disclaimer: Just wanna throw this out there...please never use this as a standalone indicator and combine it with your own analysis to detect market behaviour and structure! Don't rely on any indicators to form your own pov of probable market moves. You have been warned.
Volume Cluster Support & ResistanceVolume Cluster Support & Resistance
This indicator identifies potential Support and Resistance (S/R) levels on the chart using Volume-Based Point of Control (POC) Clustering. It offers extensive customization for calculation parameters, display styles, and visualization options, including S/R zones, color gradients, and historical reaction markers.
How It Works
Volume Based S/R:
Scans the specified Clustering Lookback period for "High Volume Bars", defined as bars where volume exceeds the average volume (over Volume Lookback Period) multiplied by the High Volume Threshold Multiplier.
Calculates the Point of Control (POC) for each high-volume bar using hl2.
Clusters these high-volume bar POCs: POCs within a proximity defined by Cluster Proximity (ATR) (Average True Range multiplier) are grouped together.
Filters these clusters, requiring a Min Bars in Cluster to form a valid S/R zone.
(Image showing the indicator being used on the Bitcoin 5min chart)
The center price of valid clusters determines the S/R level. Clusters above the current price become potential Resistance, and those below become potential Support.
Calculates the offset based on the most recent bar included in the cluster.
Level Selection & Display:
The indicator identifies multiple potential S/R levels.
It then selects and displays the top Number of S/R Levels to Display support levels below the current price and resistance levels above the current price.
(Image showing the indicator on the GBP/USD 5min chart)
ATR Usage:
The Average True Range (ta.atr(14)) is used in two key areas:
Determining the proximity threshold for grouping POCs in the 'Volume Based' clustering (clusterProximityAtr).
Calculating the width of the S/R zones when 'Use Zone Visualization' is enabled (zoneAtrMultiplier).
Key Features & Components
Dual Calculation Methods: Choose between Pivot-based S/R or Volume-based POC clustering.
Volume Confirmation: Pivots require volume confirmation; Volume method directly analyzes high-volume bars.
POC Clustering: Groups high-volume areas to identify significant price zones.
Configurable Lookbacks: Adjust periods for volume averaging, pivot detection, and clustering analysis.
Dynamic S/R Display: Shows a configurable number of the most relevant S/R levels relative to the current price.
Optional Zone Visualization: Display levels as filled zones with configurable width (ATR-based), fill transparency, and border transparency. Includes a dashed center line.
Optional Historical Reactions: Mark past price interactions (lows bouncing off support zones, highs rejecting from resistance zones) directly on the chart (Warning: Can significantly impact performance).
Customizable Styling: Control line style (Solid, Dashed, Dotted), width, color (separate for Support & Resistance), and horizontal extension (None, Left, Right, Both).
Price Labels: Toggle visibility of price labels next to each S/R level/zone.
Visual Elements Explained
S/R Lines/Zones: Plotted lines or filled zones representing calculated support and resistance levels. Color-coded for Support (default green) and Resistance (default magenta).
Line/Zone Borders: Appearance controlled by Style settings (Style, Width, Extension). Can have a gradient color effect based on age if enabled.
Zone Fills: Semi-transparent fills for zones (if enabled), with configurable transparency. Fill color matches the border color (including gradient effect if enabled).
Zone Center Line: A thin, dashed line indicating the exact calculated S/R price within a zone.
Price Labels: Text labels showing the exact price of the S/R level.
Historical Reactions: Small dot markers appearing on historical bars where price potentially reacted to a displayed zone (only if Show Historical Reactions is enabled).
Configuration Options
Users can adjust the following parameters in the indicator settings:
Calculation Method: Select "Pivot Based" or "Volume Based".
Volume Zone Settings (Volume Based): Threshold multiplier, clustering lookback, cluster proximity (ATR), minimum bars per cluster.
Display Options: Toggle S/R visibility, price tags, set the number of levels to show.
Volume Settings: Volume lookback period, volume multiplier (for Pivot confirmation).
Style Settings: Line style, width, extension, support/resistance text and line colors, enable gradient coloring, set gradient start/end colors.
Zone Visualization: Enable/disable zones, set zone width (ATR multiplier), fill and border transparency, enable/disable historical reaction markers (performance warning).
Interpretation Notes
This indicator identifies potential areas of support and resistance based on historical price action and volume analysis. These levels are not guaranteed reversal points.
The 'Volume Based' method focuses on areas where significant trading activity occurred, while the 'Pivot Based' method focuses on price turning points confirmed by volume.
Use the displayed levels in conjunction with other technical analysis tools, price action patterns, and risk management strategies.
Be mindful of the performance impact when enabling Show Historical Reactions, especially on longer timeframes or with large lookback periods. The default setting is false for optimal performance.
The max_bars_back setting is optimized for performance; increasing it significantly may slow down chart loading.
Risk Disclaimer
Trading involves significant risk. This indicator is provided for analytical and educational purposes only and does not constitute financial advice or a trading recommendation. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose.
BTC Breakout Alert📈 BTC Breakout & Fakeout Detector with Volume, RSI & MACD Filters
This script helps identify high-confidence breakout setups by combining price action, volume spikes, and optional momentum filters (RSI & MACD). It’s designed to alert you when Bitcoin (or any asset) breaks above a defined resistance level with strong conviction — and warns you if that move turns out to be a fakeout.
🔍 Features:
✅ Confirmed Breakout Alerts: Triggers when price closes above your set resistance level with volume ≥ 1.5× the 20-period average.
⚠️ Fakeout Detection: Highlights when price closes back below resistance within a few candles after breakout.
📊 Momentum Filters:
RSI > 50 for bullish confirmation
MACD line > signal line to support breakout momentum
🔔 Custom Alerts: Built-in alert conditions for both breakout and fakeout events.
🔼🔽 Visual Markers: Arrows plotted directly on the chart for clear entry and caution zones.
🕒 Works on all timeframes and any asset that includes volume data.
Ideal for breakout traders who want more than just a price spike — this tool ensures volume and momentum alignment, helping you reduce false signals and react with more confidence.
Volumetric Tensegrity🧮 Volumetric Tensegrity unifies two of the Leading Indicator suite's critical engines — ZVOL ( volume anomaly detection ) and OBVX ( directional conviction ). Originally designed as a structural economizer for traders navigating strict indicator limits (e.g. < 10 slots per chart), it was forced to evolve beyond that constraint simply to fulfill it, albeit with a difference. The fatal flaw of traditional fusion, where two metrics are blended mathematically, is that they lose scale integrity (i.e. meaning). VTense encodes optical tensegrity to scale the amplitude of the ZVOL histogram and the slope of the OBVX spread independently, so that expansion and direction may coexist without either dominating the frame.
🧬 Tensegrity , by definition, is an intelligent design principle where elements in compression are suspended within a network of continuous tension, forming a stable, self-supporting structure . Originally conceived in esoteric biomorphology (c.f. Da Vinci, Snelson, Casteneda), tensegrity balances force through opposition, not rigidity. Applied to financial markets, Volumetric Tensegrity captures this same principle: price compresses, volume expands, conviction builds or fades — yet structure holds through the interplay. The result is not a prediction engine, but a pressure field — one that visualizes where structure might bend, break, or rebound based on how volume breathes.
🗜️ Rather than layering multiple indicators and consuming precious chart space, VTense frees up room for complementary overlays like momentum mapping, liquidity tiers, or volatility phase detection — making it ideal for modular traders operating in tight technical real estate.
🧠 Core Logic - VTense separates and preserves two essential structural forces:
• ZVOL Histogram : A Z-score-based expansion map that measures current volume deviation from its historical average. It reveals buildup zones, dormant stretches, and breakout pressure — regardless of price behavior.
• OBVX Spread : A directional conviction curve that tracks the difference between On-Balance Volume and its volume-weighted fast trend. It shows whether the crowd is leaning in (accumulation/distribution) or backing off.
🔊 ZVOL controls the amplitude of the histogram, while OBVX controls the curvature and slope of the spread. Without sacrificing breathing behavior or analytical depth, VTense provides a compact yet dynamic lens to track both expansion pressure and directional bias within a single footprint.
🌊 Volumetric Tensegrity forecasts breakout readiness, trend fatigue, and compression zones by measuring the volatility within volume . Unlike traditional tools that track volatility of price, this indicator reveals when effort becomes unstable — signaling inflection points before price reacts. Designed to decode rhythm shifts at the volume level, it operates as a pre-ignition scanner that thrives on low-timeframe charts (15m and under) while scaling effectively to 1H for validation.
🪖 From Generals to Scouts
👀 When used jointly, ZVOL + OBVX act as the general : deep-field analysts confirming stress, commitment, or exhaustion. VTense , by contrast, functions as a scout — capturing subtle buildup and alignment before structure fully reveals itself. The indicator aims to be a literal vanguard, establishing a position that can be confirmed or flexibly abandoned when the higher authority arrives to evaluate.
🥂 Use the ZVOL + OBVX pair when :
• You need independent axis control and manual dissection
• You’re building long-form confluence setups
• You have more indicator slots than you need
🔎 Use VTense when :
• You need compact clarity across multiple instruments
• You’re prioritizing confluence _detection_ over granular separation
• You’re building efficient multi-layered systems under slot constraints
🏗️ Structural Behavior and Interpretation
🫁 Z VOL Respiration Histogram : Structural Effort vs Baseline
🔵 Compression Coil – volume volatility is low and stable; the market is coiling
🟢 Steady Rhythm – volume is healthy but unremarkable; balanced participation
🟡 Passive/Absorbed Effort – expansion failing to manifest; watch for reversal
🟠 Clean Expansion – actionable volatility rise backed by structure
🔴 Volatile Blowout – chaos, climax; likely end-phase or fakeout
⚖️ ZVOL Respiration measures how hard the crowd is pressing — not just that volume is rising, but how statistically abnormal the surge is. Because it is rescaled proportionally to OBVX, the amplitude of the histogram reflects structural urgency without overwhelming the visual field.
🖐️ OBVX Spread : Real-Time Directional Conviction Behind Price Moves
🔑 The curvature of the spread reveals not just directional bias but crowd temp o: sharp slopes = urgent transitions; gradual slopes = building structural shifts. Curvature is key: sharp OBVX slope = urgency; gentle arcs = controlled drift or indecision.
• Green Rising : Accumulation — upward pressure from real buyers
• Red Falling : Distribution — sell pressure, downward slope
• Flat Curves : Transitional → uncertainty, microstructure digestion
🎭 Synchronized vs Divergent Behavior
⏱️ Synchronized (high-confluence) : often precedes structural breakouts, with internal conviction clearly visible before price resolves.
• ZVOL expands (yellow/orange/red) and OBVX climbs steeply green = strong bullish pressure
• ZVOL expands while OBVX steepens red = growing sell-side intent
🪤 Divergent (conflict tension) : flags potential traps, fakeouts, and liquidity sweeps.
• ZVOL expands sharply, but OBVX flattens or opposes → reactive expansion without crowd commitment
⛔️ Latent Drift + Structural Holding Patterns : tensegrity in action — the market holds tension without directional release.
• ZVOL compresses (blue) + OBVX meanders near zero → structure is resting, building up energy
• After prolonged drift, expect violent asymmetry when balance finally breaks
📚 Phase Interpretation: Dynamic Structural Read
• 1️⃣ Quiet Coil : Histogram flat, OBVX flat → no urgency
• 2️⃣ Initial Pulse : Yellow bars, OBVX slope builds → actionable tension
• 3️⃣ Structural Breath : Synchronized expansion and slope → directional commitment
• 4️⃣ Disagreement : Spike in ZVOL, flattening OBVX → exhaustion risk or false signal
💡 Suggested Use
• Run on 15m charts for breakout anticipation and 1H for validation
• Pair with ZVOL + OBVX to confirm crowd conviction behind the tension phase
• Use as a rhythm filter for the suite's trend indicators (e.g., RDI , SUPeR TReND 2.718 , et. al.)
• Ideal during low-volume regimes to detect pressure buildup before triggers
🧏🏻 Volumetric Tensegrity doesn’t signal. It breathes , and listens to pressure shifts before they speak in price. As a scout, it lets you see structural posture before signals align — helping you front-run resolution with clarity, not prediction.
EXODUS EXODUS by (DAFE) Trading Systems
EXODUS is a sophisticated trading algorithm built by Dskyz (DAFE) Trading Systems for competitive and competition purposes, designed to identify high-probability trades with robust risk management. this strategy leverages a multi-signal voting system, combining three core components—SPR, VWMO, and VEI—alongside ADX, choppiness filters, and ATR-based volatility gates to ensure trades are taken only in favorable market conditions. the algo uses a take-profit to stop-loss ratio, dynamic position sizing, and a strict voting mechanism requiring all signals to align before entering a trade.
EXODUS was not overfitted for any specific symbol. instead, it uses a generic tuned setting, making it versatile across various markets. while it can trade futures, it’s not currently set up for it but has the potential to do more with further development. visuals are intentionally minimal due to its competition focus, prioritizing performance over aesthetics. a more visually stunning version may be released in the future with enhanced graphics.
The Unique Core Components Developed for EXODUS
SPR (Session Price Recalibration)
SPR measures momentum during regular trading hours (RTH, 0930-1600, America/New_York) to catch session-specific trends.
spr_lookback = input.int(15, "SPR Lookback") this sets how many bars back SPR looks to calculate momentum (default 15 bars). it compares the current session’s price-volume score to the score 15 bars ago to gauge momentum strength.
how it works: a longer lookback smooths out the signal, focusing on bigger trends. a shorter one makes SPR more sensitive to recent moves.
how to adjust: on a 1-hour chart, 15 bars is 15 hours (about 2 trading days). if you’re on a shorter timeframe like 5 minutes, 15 bars is just 75 minutes, so you might want to increase it to 50 or 100 to capture more meaningful trends. if you’re trading a choppy stock, a shorter lookback (like 5) can help catch quick moves, but it might give more false signals.
spr_threshold = input.float (0.7, "SPR Threshold")
this is the cutoff for SPR to vote for a trade (default 0.7). if SPR’s normalized value is above 0.7, it votes for a long; below -0.7, it votes for a short.
how it works: SPR normalizes its momentum score by ATR, so this threshold ensures only strong moves count. a higher threshold means fewer trades but higher conviction.
how to adjust: if you’re getting too few trades, lower it to 0.5 to let more signals through. if you’re seeing too many false entries, raise it to 1.0 for stricter filtering. test on your chart to find a balance.
spr_atr_length = input.int(21, "SPR ATR Length") this sets the ATR period (default 21 bars) used to normalize SPR’s momentum score. ATR measures volatility, so this makes SPR’s signal relative to market conditions.
how it works: a longer ATR period (like 21) smooths out volatility, making SPR less jumpy. a shorter one makes it more reactive.
how to adjust: if you’re trading a volatile stock like TSLA, a longer period (30 or 50) can help avoid noise. for a calmer stock, try 10 to make SPR more responsive. match this to your timeframe—shorter timeframes might need a shorter ATR.
rth_session = input.session("0930-1600","SPR: RTH Sess.") rth_timezone = "America/New_York" this defines the session SPR uses (0930-1600, New York time). SPR only calculates momentum during these hours to focus on RTH activity.
how it works: it ignores pre-market or after-hours noise, ensuring SPR captures the main market action.
how to adjust: if you trade a different session (like London hours, 0300-1200 EST), change the session to match. you can also adjust the timezone if you’re in a different region, like "Europe/London". just make sure your chart’s timezone aligns with this setting.
VWMO (Volume-Weighted Momentum Oscillator)
VWMO measures momentum weighted by volume to spot sustained, high-conviction moves.
vwmo_momlen = input.int(21, "VWMO Momentum Length") this sets how many bars back VWMO looks to calculate price momentum (default 21 bars). it takes the price change (close minus close 21 bars ago).
how it works: a longer period captures bigger trends, while a shorter one reacts to recent swings.
how to adjust: on a daily chart, 21 bars is about a month—good for trend trading. on a 5-minute chart, it’s just 105 minutes, so you might bump it to 50 or 100 for more meaningful moves. if you want faster signals, drop it to 10, but expect more noise.
vwmo_volback = input.int(30, "VWMO Volume Lookback") this sets the period for calculating average volume (default 30 bars). VWMO weights momentum by volume divided by this average.
how it works: it compares current volume to the average to see if a move has strong participation. a longer lookback smooths the average, while a shorter one makes it more sensitive.
how to adjust: for stocks with spiky volume (like NVDA on earnings), a longer lookback (50 or 100) avoids overreacting to one-off spikes. for steady volume stocks, try 20. match this to your timeframe—shorter timeframes might need a shorter lookback.
vwmo_smooth = input.int(9, "VWMO Smoothing")
this sets the SMA period to smooth VWMO’s raw momentum (default 9 bars).
how it works: smoothing reduces noise in the signal, making VWMO more reliable for voting. a longer smoothing period cuts more noise but adds lag.
how to adjust: if VWMO is too jumpy (lots of false votes), increase to 15. if it’s too slow and missing trades, drop to 5. test on your chart to see what keeps the signal clean but responsive.
vwmo_threshold = input.float(10, "VWMO Threshold") this is the cutoff for VWMO to vote for a trade (default 10). above 10, it votes for a long; below -10, a short.
how it works: it ensures only strong momentum signals count. a higher threshold means fewer but stronger trades.
how to adjust: if you want more trades, lower it to 5. if you’re getting too many weak signals, raise it to 15. this depends on your market—volatile stocks might need a higher threshold to filter noise.
VEI (Velocity Efficiency Index)
VEI measures market efficiency and velocity to filter out choppy moves and focus on strong trends.
vei_eflen = input.int(14, "VEI Efficiency Smoothing") this sets the EMA period for smoothing VEI’s efficiency calc (bar range / volume, default 14 bars).
how it works: efficiency is how much price moves per unit of volume. smoothing it with an EMA reduces noise, focusing on consistent efficiency. a longer period smooths more but adds lag.
how to adjust: for choppy markets, increase to 20 to filter out noise. for faster markets, drop to 10 for quicker signals. this should match your timeframe—shorter timeframes might need a shorter period.
vei_momlen = input.int(8, "VEI Momentum Length") this sets how many bars back VEI looks to calculate momentum in efficiency (default 8 bars).
how it works: it measures the change in smoothed efficiency over 8 bars, then adjusts for inertia (volume-to-range). a longer period captures bigger shifts, while a shorter one reacts faster.
how to adjust: if VEI is missing quick reversals, drop to 5. if it’s too noisy, raise to 12. test on your chart to see what catches the right moves without too many false signals.
vei_threshold = input.float(4.5, "VEI Threshold") this is the cutoff for VEI to vote for a trade (default 4.5). above 4.5, it votes for a long; below -4.5, a short.
how it works: it ensures only strong, efficient moves count. a higher threshold means fewer trades but higher quality.
how to adjust: if you’re not getting enough trades, lower to 3. if you’re seeing too many false entries, raise to 6. this depends on your market—fast stocks like NQ1 might need a lower threshold.
Features
Multi-Signal Voting: requires all three signals (SPR, VWMO, VEI) to align for a trade, ensuring high-probability setups.
Risk Management: uses ATR-based stops (2.1x) and take-profits (4.1x), with dynamic position sizing based on a risk percentage (default 0.4%).
Market Filters: ADX (default 27) ensures trending conditions, choppiness index (default 54.5) avoids sideways markets, and ATR expansion (default 1.12) confirms volatility.
Dashboard: provides real-time stats like SPR, VWMO, VEI values, net P/L, win rate, and streak, with a clean, functional design.
Visuals
EXODUS prioritizes performance over visuals, as it was built for competitive and competition purposes. entry/exit signals are marked with simple labels and shapes, and a basic heatmap highlights market regimes. a more visually stunning update may be released later, with enhanced graphics and overlays.
Usage
EXODUS is designed for stocks and ETFs but can be adapted for futures with adjustments. it performs best in trending markets with sufficient volatility, as confirmed by its generic tuning across symbols like TSLA, AMD, NVDA, and NQ1. adjust inputs like SPR threshold, VWMO smoothing, or VEI momentum length to suit specific assets or timeframes.
Setting I used: (Again, these are a generic setting, each security needs to be fine tuned)
SPR LB = 19 SPR TH = 0.5 SPR ATR L= 21 SPR RTH Sess: 9:30 – 16:00
VWMO L = 21 VWMO LB = 18 VWMO S = 6 VWMO T = 8
VEI ES = 14 VEI ML = 21 VEI T = 4
R % = 0.4
ATR L = 21 ATR M (S) =1.1 TP Multi = 2.1 ATR min mult = 0.8 ATR Expansion = 1.02
ADX L = 21 Min ADX = 25
Choppiness Index = 14 Chop. Max T = 55.5
Backtesting: TSLA
Frame: Jan 02, 2018, 08:00 — May 01, 2025, 09:00
Slippage: 3
Commission .01
Disclaimer
this strategy is for educational purposes. past performance is not indicative of future results. trading involves significant risk, and you should only trade with capital you can afford to lose. always backtest and validate any strategy before using it in live markets.
(This publishing will most likely be taken down do to some miscellaneous rule about properly displaying charting symbols, or whatever. Once I've identified what part of the publishing they want to pick on, I'll adjust and repost.)
About the Author
Dskyz (DAFE) Trading Systems is dedicated to building high-performance trading algorithms. EXODUS is a product of rigorous research and development, aimed at delivering consistent, and data-driven trading solutions.
Use it with discipline. Use it with clarity. Trade smarter.
**I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract.
2025 Created by Dskyz, powered by DAFE Trading Systems. Trade smart, trade bold.
OFC - Liquidations ATS editionOFC – Liquidations (ATS-edition)
This indicator detects aggressive position closures and liquidation-style activity using a dynamic, flow-based approach grounded in Volume-to-Open-Interest (VOI) analysis. It identifies sudden surges in executed volume relative to open interest and filters them through adaptive, statistically-driven thresholds.
Built for traders who want to anticipate or confirm market flushes, stop hunts, or trap reversals, the tool supports detection of both long/short closures and optionally position openings — all based on actual order flow dynamics rather than speculative price patterns.
Key Features:
VOI Spike Detection: Identifies rare bursts of volume relative to open interest using percentile and volatility scaling.
Directional Filtering: Uses volume delta to determine whether long or short positions are being flushed.
Adaptive Thresholds: Built-in ATR and standard deviation normalization make the logic self-tuning across assets and timeframes.
Signal Confidence Tiers: Three levels of signal strength help distinguish mild pressure from extreme liquidations.
Opening Detection (Optional): Spot potential position buildups in real time.
Debug Table (Optional): View live stats including VOI, thresholds, and signal proximity.
Ideal Use Cases
Confirmation of liquidation flushes and reversals
Trap identification (long/short bait setups)
Tactical execution timing for breakout retests or exhaustion fades
Scalp filtering in combination with price action or market structure
This tool prioritizes signal quality over quantity, offering a clear edge for traders who rely on actionable flow insights.
No predictions — just real-time evidence of pressure in the tape.
Aggregated Open Interest [Alpha Extract]The Aggregated Open Interest indicator provides a comprehensive view of open interest across multiple cryptocurrency exchanges, allowing traders to monitor institutional positioning and market sentiment. By aggregating data from major exchanges like Binance, BitMEX, and Kraken, this indicator offers valuable insights into potential price movements and market shifts.
🔶 CALCULATION
The indicator processes open interest data through multiple analytical methods:
Exchange Aggregation: Collects and normalizes open interest data from multiple exchanges (Binance, BitMEX, Kraken) with proper currency normalization.
Multi-Mode Analysis: Calculates various metrics including raw open interest values, OI change, OI delta, volume-weighted delta, and OI RSI.
Divergence Detection: Uses pivot point analysis to identify divergences between price action and open interest movements.
Activity Assessment: Tracks bullish and bearish activity patterns by correlating open interest changes with price movements.
Formula:
Aggregate OI = Sum of normalized open interest from selected exchanges
OI Change = Current OI - Previous OI
OI Delta = Net change in open interest across timeframes
OI Delta × Volume = OI Delta weighted by relative volume
OI RSI = Relative Strength Index applied to open interest values
OI Heatmap = Multi-timeframe visualization of OI changes across 7 distinct periods
🔶 DETAILS
Visual Features:
Open Interest: Candlestick representation of aggregated open interest
OI Change: Histogram showing period-to-period changes
OI Delta: Histogram displaying net OI movements
OI Delta × Volume: Volume-weighted OI delta for enhanced signals
OI RSI: Oscillator showing overbought/oversold OI conditions
OI Heatmap: Multi-timeframe visualization showing OI changes across 7 periods (3, 5, 8, 13, 21, 34, and 55 days)
Divergence Detection: Color-coded markers (teal for bullish, red for bearish) highlighting significant divergences between price and open interest
Analysis Table: Real-time summary of key metrics including aggregate OI, recent changes, and bullish/bearish activity.
Interpretation:
Increasing Open Interest + Rising Price: Strong bullish trend confirmation
Increasing Open Interest + Falling Price: Strong bearish trend confirmation
Decreasing Open Interest + Rising Price: Weak bullish trend (potential reversal)
Decreasing Open Interest + Falling Price: Weak bearish trend (potential reversal)
Divergences: Signal potential trend exhaustion and reversals when price moves in one direction while open interest moves in the opposite direction
Heatmap: Provides at-a-glance insight into open interest trends across multiple timeframes, with green bars indicating rising OI and red bars indicating falling OI
🔶 EXAMPLES
Trend Confirmation: Rising open interest accompanying a price increase confirms strong bullish momentum with institutional backing.
Example: During January-February 2025, rising OI during price advances confirms institutional participation in the uptrend.
Bearish Divergence: Price makes a higher high while open interest makes a lower high, signaling potential trend reversal.
Example: Red markers appear at market tops where price continues higher but open interest fails to confirm, preceding significant corrections.
Bullish Divergence : Price makes a lower low while open interest makes a higher low, indicating potential bottoming.
Example: Teal markers appear at market bottoms where price continues lower but open interest fails to confirm, preceding significant rallies.
OI Heatmap Analysis : Multiple timeframes showing consistent red signals across short to long-term periods indicate strong institutional selling pressure.
Example: When all 7 periods (3-55 days) show red during a price uptrend, this signals institutional selling into retail strength, often preceding major corrections.
🔶 SETTINGS
Customization Options:
Data Sources: Toggle different exchanges (Binance USDT/USD/BUSD, BitMEX USD/USDT, Kraken USD)
Display Mode: Choose between Open Interest, OI Change, OI Delta, OI Delta × Volume, OI RSI, and OI Heatmap
Currency Units: Display in USD or base cryptocurrency (COIN)
Analysis Tools: Moving Average (length and color), RSI (length and color)
Divergence Detection: Enable/disable signals, adjust lookback period and threshold percentage, customize bullish/bearish divergence colors
OI Heatmap Colors: Customize bullish (green) and bearish (red) signal colors for the multi-timeframe heatmap visualization
The Aggregated Open Interest indicator provides traders with comprehensive insights into institutional positioning across major exchanges, helping identify potential trend continuations, reversals, and key market turning points driven by smart money movements. The addition of the OI Heatmap feature enables traders to quickly visualize open interest trends across multiple timeframes, providing valuable context for institutional positioning over different market cycles.
TeddyOverview
"Teddy" is an indicator that overlays up to five customizable Volume Profiles on the chart, each displaying Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL). Designed for traders, it anchors profiles to user-defined time ranges, helping align traders with the ever changing auction so they are on the right side of trends, avoid choppy price action, and stay clear of overbought/oversold conditions.
Originality and Usefulness
Unlike standard Volume Profile tools, "Teddy" offers five independent profiles with flexible anchored or fixed time ranges, customizable labels, and distinct colors. This multi-profile approach reveals key price levels across different periods, enabling traders to navigate trends and avoid low-opportunity zones effectively, ideal for equities, futures, or indices.
What It Does
Plots up to five Volume Profiles, each with POC, VAH, and VAL lines.
Labels levels with customizable prefixes and price displays.
Supports anchored (start-to-present) or fixed (start-to-stop) time ranges, adjustable via inputs or chart dragging.
How It Works
Data Sources: Uses lower timeframe data (e.g., 1-minute on a 5-minute chart) to build volume distributions.
Calculations:
POC: Identifies the price with the highest traded volume in the selected range.
VAH/VAL: Defines the value area (default: 70% of volume(recommended)) around POC.
Time Ranges: Each profile starts at a user-set time, extending to the present or a stop time if fixed.
Visualization: Draws lines and labels for POC, VAH, and VAL, with customizable colors, offsets, and leftward extensions.
How It Helps Traders
"Teddy" aligns traders with the auction to help avoids pitfalls:
Staying with the Trend: Price above POC Indicates buyers are in control of the profile being studied which allows the auction to move towards VAH next. Price below POC Indicates sellers are in control of the profile being studied which allows the auction to move towards VAL next. guiding trend-following entries. Breakouts above VAH can signal an expansion opportunity for price and breakdowns below VAL can signal an expansion opportunity for price.
Avoiding Choppy Conditions: POC acts as a price anchor(magnet almost) that draws price towards it due to the high volume around this pivot— Price oscillating around POC often indicates consolidation(almost a battle between buyers and sellers); Its wise to let the battle finish to understand the true direction. Teddy also helps traders identify consolidation between ranges as buyers and sellers fight for acceptance above below in inside of one or multiple ranges. This type of structure between ranges often brings chop with it as well.
Steering Clear of Overbought/Oversold: Extreme price moves far from POC or VAH/VAL, especially in recent profiles, suggest price at premium or price at discount. This can help traders avoid chasing an extended move to the upside or the downside.
Multiple profiles provide temporal context, ensuring trades align with multiple auctions to define price at a value, at a discount or at a premium and not just fleeting noise.
How to Use It
Apply to any chart (e.g., ES 1H for futures).
Customize via inputs:
"Profile Settings": Enable/disable, set start/stop times, toggle fixed range.
"Profile Appearance": Adjust horizontal offset for labels.
"Profile Colors": Set POC, VAH, VAL colors (e.g., yellow, blue).
"Profile POC & Value Area": Adjust value area percentage (default: 70%), toggle POC/VAH/VAL display, extend lines left.
"Profile Label Customization": Set label prefixes, show prices, and text colors.
Underlying Concepts
Volume Profile: POC and VAH/VAL highlight high-volume acceptance zones, anchoring trend analysis.
Temporal Analysis: Multiple profiles reveal evolving market structure over user-defined periods.
Limitations
May require a Premium Trading view plan due to data being pulled on lower time frames such as the 1 minute. Check to ensure your plan meets these requirements.
Profiles looking back multiple months (e.g., 9 or 12 months) on lower timeframes (e.g., 1-minute) may cause memory errors or fail to load due to data limits.
Hourly or higher timeframes are best for accurate data on extended lookbacks, especially in futures markets.
Accuracy depends on lower timeframe data availability.
Levels are contextual, not guaranteed signals.
Long-Term VWAP Mean Reversion SDCACore Idea:
This indicator is designed to support Strategic Dollar Cost Averaging (SDCA) for Bitcoin using a cumulative VWAP-based mean reversion model. It helps long-term investors identify high-conviction buy zones and overbought conditions using statistical deviation from the cumulative VWAP. This indicator evaluates how much price is stretched from the true market average price, weighted by cumulative volume over time.
Core Concepts and Formulas:
Cumulative VWAP (Volume Weighted Average Price):
VWAP cumulative = ∑(Price×Volume) / ∑Volume
A long-term anchor that reflects the average dollar cost of all market participants across all candles. This version does not reset daily, unlike intraday VWAP.
VWAP Deviation % :
Deviation% = Price - VWAP cumulative / VWAP cumulative x 100
Shows how far current price has diverged from the long-term fair value.
Z-Score of VWAP Deviation:
Z= (Price−VWAP)−μ / σ (lookback period: default 200)
SDCA Multiplier Mapping:
*Keep in mind in my Z-Score system, -2 represents the overbought level (white horizontal line) and +2 represents oversold (cyan horizontal line) conditions. So the scores on the Y axis and Z-score in the table are reversed.
| Z-Score Range | SDCA Multiplier |
---------------------------------------------
| ≤ -2 | 0.25×
| -1 to +1 | 1.0×
| > +2 | 2.0×
The pink line plots this multiplier. It’s meant to control buy weight at each time step.
How to Use This for SDCA:
-Buy normally when the multiplier is 1.0× (Z-score between -1 and +1)
-Accelerate buying when Z-score is deeply negative (price far below VWAP)
-Slow or pause buying when Z-score is high (price far above VWAP)
-Use the stats panel to track current Z-score, VWAP level, deviation %, and multiplier
-Watch the red/blue backgrounds as visual confirmation of oversold/overbought zones
Inputs:
Z-Score Lookback Length:
Default: 200 but can be adjusted.
Visuals:
Z-Score Line (cyan): shows current standardized deviation from VWAP
Multiplier Line (bright pink): your SDCA intensity signal
Background Zones: cyan = oversold, white = overbought
Horizontal Lines: +2 and -2 standard deviation thresholds
Stats Panel (bottom right): live values for Z-score, multiplier, price, VWAP, and the deviation formula
Suited For:
-Long-term Bitcoin investors
-SDCA Systems
-Mean reversion systems
-Macro-level buy/sell planning
Volume-Weighted Pivot BandsThe Volume-Weighted Pivot Bands are meant to be a dynamic, rolling pivot system designed to provide traders with responsive support and resistance levels that adapt to both price volatility and volume participation. Unlike traditional daily pivot levels, this tool recalculates levels bar-by-bar using a rolling window of volume-weighted averages, making it highly relevant for intraday traders, scalpers, swing traders, and algorithmic systems alike.
-- What This Indicator Does --
This tool calculates a rolling VWAP-based pivot level, and surrounds that central pivot with up to five upper bands (R1–R5) and five lower bands (S1–S5). These act as dynamic zones of potential resistance (R) and support (S), adapting in real time to price and volume changes.
Rather than relying on static session or daily data, this indicator provides continually evolving levels, offering more relevant levels during sideways action, trending periods, and breakout conditions.
-- How the Bands Are Calculated --
Pivot (VWAP Pivot):
The core of this system is a rolling Volume-Weighted Average Price, calculated over a user-defined window (default 20 bars). This ensures that each bar’s price impact is weighted by its volume, giving a more accurate view of fair value during the selected lookback.
Volume-Weighted Range (VW Range):
The highest high and lowest low over the same window are used to calculate the volatility range — this acts as a spread factor.
Support & Resistance Bands (S1–S5, R1–R5):
The bands are offset above and below the pivot using multiples of the VW Range:
R1 = Pivot + (VW Range × multiplier)
R2 = R1 + (VW Range × multiplier)
R3 = R2 + (VW Range x multiplier)
...
S1 = Pivot − (VW Range × multiplier)
S2 = S1 − (VW Range × multiplier)
S3 = S2 - (VW Range x multiplier)
...
You can control the multiplier manually (default is 0.25), to widen or tighten band spacing.
Smoothing (Optional):
To prevent erratic movements, you can optionally toggle on/off a simple moving average to the pivot line (default length = 20), providing a smoother trend base for the bands.
-- How to Use It --
This indicator can be used for:
Support and resistance identification:
Price often reacts to R1/S1, and the outer bands (R4/R5 or S4/S5) act as overshoot zones or strong reversal areas.
Trend context:
If price is respecting upper bands (R2–R3), the trend is likely bullish. If price is pressing into S3 or lower, it may indicate sustained selling pressure or a breakdown.
Volatility framing:
The distance between bands adjusts based on price range over the rolling window. In tighter markets, the bands compress — in volatile moves, they expand. This makes the indicator self-adaptive.
Mean reversion trades:
A move into R4/R5 or S4/S5 without continuation can be a sign of exhaustion — potential for reversal toward the pivot.
Alerting:
Built-in alerts are available for crosses of all major bands (R1–R5, S1–S5), enabling trade automation or scalp alerts with ease.
-- Visual Features --
Fuchsia Lines: Mark all Resistance (R1–R5) levels.
Lime Lines: Mark all Support (S1–S5) levels.
Gray Circle Line: Marks the rolling pivot (VWAP-based).
-- Customizable Settings --
Rolling Length: Number of bars used to calculate VWAP and VW Range.
Multiplier: Controls how wide the bands are spaced.
Smooth Pivot: Toggle on/off to smooth the central pivot.
Pivot Smoothing Length: Controls how many bars to average when smoothing is enabled.
Offset: Visually shift all bands forward/backward in time.
-- Why Use This Over Standard Pivots? --
Traditional pivots are based on previous session data and remain fixed. That’s useful for static setups, but may become irrelevant as price action evolves. In contrast:
This system updates every bar, adjusting to current price behavior.
It includes volume — a key feature missing from most static pivots.
It shows multiple bands, giving a full view of compression, breakout potential, or trend exhaustion.
-- Who Is This For? --
This tool is ideal for:
Day traders & scalpers who need relevant intraday levels.
Swing traders looking for evolving areas of confluence.
Algorithmic/systematic traders who rely on quantifiable, volume-aware support/resistance.
Traders on all assets: works on crypto, stocks, futures, forex — any chart that has volume.
High Volume Candle Node & S/R @MaxMaseratiHigh Volume Candle Node (HVCN)
The High Volume Candle Node (HVCN) indicator, developed by MaxMaserati, is a powerful tool for identifying significant volume-based support and resistance levels on TradingView. Built with Pine Script v5, it visualizes volume nodes and dynamic or semi-static lines to highlight key price levels where high, medium, and low volume activity occurs. This indicator is designed to assist traders in spotting potential breakout zones and critical price levels for decision-making.
Key Features
Volume Nodes: Displays volume distribution across price levels, categorized as High Volume Nodes (HVN), Medium Volume Nodes (MVN), and Low Volume Nodes (LVN).
Dynamic/Semi-Static Lines:
Dynamic Mode: Lines adjust to recent volume changes, reflecting current market activity.
Semi-Static Mode: Lines remain fixed at key price levels for consistent reference.
HVC/MVC/LVC Lines:
High Volume Candle (HVC): Represents price levels with significant trading activity (default threshold: 73%).
Medium Volume Candle (MVC): Indicates moderate volume zones (default threshold: 25%-73%).
Low Volume Candle (LVC): Highlights areas with minimal volume (default threshold: <25%).
Breakout Detection: Identifies price breakouts above or below HVC, MVC, or LVC lines, with customizable sensitivity thresholds.
Visual Enhancements: Includes glow effects, customizable colors, triangles at line ends, and volume labels for better readability.
Bullish/Bearish Coloring: Nodes and lines are colored based on whether bullish or bearish volume dominates, aiding in trend analysis.
LVC/MVC/HVC Labels and Percentages
HVC Labels (High Volume, >73%): Mark price levels with the highest trading activity, often acting as strong support or resistance. These zones indicate where large market participants are active.
MVC Labels (Medium Volume, 25%-73%): Highlight areas with moderate volume, often serving as secondary support/resistance or consolidation zones.
LVC Labels (Low Volume, <25%): Identify price levels with low trading activity, typically areas of low interest or potential breakout zones.
Label Display Options: Users can choose to show volume in normal format (e.g., 1.2M), percentage format (e.g., 73%), or both. Labels can be positioned at price levels or node edges, with customizable size and background opacity.
Settings
Profile Settings: Adjust the number of rows (10-100), lookback length (10-1500 bars), and profile width (10%-100%).
Node Thresholds: Customize HVC (50%-99%) and LVC (5%-49%) thresholds to define volume significance.
Display Toggles: Enable/disable HVC, MVC, LVC nodes, labels, breakout detection, and visual effects like glow or triangles.
Color Customization: Separate bullish and bearish colors for nodes and lines, with adjustable opacity for boxes and labels.
Breakout Sensitivity: Fine-tune breakout thresholds (0.1%-100%) for HVC, MVC, and LVC lines.
How It Works
The HVCN indicator analyzes volume distribution within a specified lookback period, dividing the price range into rows to calculate volume at each level. It then identifies HVC, MVC, and LVC zones based on user-defined thresholds. Dynamic or semi-static lines are drawn at the most significant price levels for each category, with optional breakout detection to signal when the price crosses these lines. Volume labels provide detailed insights into the strength of each level, expressed as a percentage of total volume or absolute value.
Use Cases
Support/Resistance Identification: HVC lines often act as strong barriers, while MVC and LVC indicate weaker zones.
Breakout Trading: Breakout labels and triangles help traders spot potential trend reversals or continuations.
Volume Analysis: Bullish/bearish volume coloring aids in understanding market sentiment at key levels.
Disclaimer
The use of the HVCN indicator is entirely at the user's responsibility. It is a tool for analysis and does not guarantee trading success. Always conduct thorough research and risk management before making trading decisions.
ICT Killzones Bias & Volume Sweeps @MaxMaserati📌 Overview
This indicator helps traders identify key ICT Killzones (Asian, London, NY AM, NY PM sessions) along with volume analysis and sweep detection. It highlights institutional order blocks, tracks session bias, and detects liquidity sweeps with volume confirmation.
Key Features:
✅ ICT Killzones (Asian, London, NY AM, NY PM)
✅ Volume Analysis (High/Low volume detection)
✅ Sweep Detection (Buyside/Sellside sweeps with volume confirmation)
✅ Session Bias (Bullish/Bearish bias based on price action)
✅ Customizable Sessions (Add personal trading hours)
✅ Institutional Order Build-up (30-min pre-session accumulation zones)
⚙️ Input Settings
1. Timezone Settings
Chart Timezone: Adjust to your local timezone (default: New York).
2. Session Toggles
Asian / London / NY AM / NY PM Sessions: Enable/disable each session.
NY Lunch Session: Optional session (disabled by default).
Personal Trading Time: Customize your trading hours.
3. Label Settings
Label Size: Tiny, Small, Normal, Large.
Session Labels: Customize text for High (H), Low (L), Mid (M) labels.
Background Transparency: Adjust session box opacity.
4. Volume Analysis
Show Volume Labels: Displays volume strength (🚀 Very High, 🔥 High, ⚖️ Normal, 💤 Low, 🐢 Very Low).
Volume Lookback Period: Adjusts volume comparison window.
High/Low Volume Thresholds: Define what constitutes high/low volume.
5. Sweep Detection
Buyside/Sellside Sweeps: Highlights liquidity sweeps.
Sweep Margin: Adjust sensitivity for sweep detection.
Fake Sweep Zones: Option to hide or highlight fakeouts.
Example of Session Sweep and Volume:
Here we have a Bullish Sweep of London Low session by NY AM
However, the volume was low suggesting buyers are not strong enough (M1)
And then the sellers took over and a pressure retest by the buyers of the level and then sellers entered with more power/pressure
6. Session Momentum & Bias
Show Session Bias: Indicates bullish/bearish bias for each session.
Bias Strength Threshold: Adjust sensitivity for bias detection.
📊 How It Works
1. Session Highs/Lows
The indicator tracks High, Low, and Mid prices for each session.
Lines and boxes are drawn to visualize the session range.
2. Volume Analysis
Compares current volume to historical average.
Displays volume strength with emojis (🚀, 🔥, ⚖️, 💤, 🐢).
Highlights high-volume sweeps for confirmation.
3. Sweep Detection
Detects buyside sweeps (liquidity above highs) and sellside sweeps (liquidity below lows).
Sweep zones expand if price lingers near the swept level.
4. 30 minute Pre-session Institutional order buildup
Highlights 30-minute pre-session zones where institutions may accumulate orders.
5. Session Bias
Calculates bias based on open/close price action within the session.
Displays Bullish, Bearish, or Neutral labels.
]
🎯 Trading Applications
1. Liquidity Sweeps
Look for sweeps with high volume as confirmation of institutional activity.
Fade fake sweeps (if enabled) when price reverses quickly.
2. Session Breakouts
Trade breakouts from Asian/London ranges during NY sessions.
Watch for volume expansion on breakouts for confirmation.
3. Pre- Session Institutional Block
Price often reacts to pre-session institutional position build-up (30-min before session opens).
LV:Low Volume, HV: High volume and MV: Medium Volume
NY AM Pre-Session institutional Order Build-up block with high sweep
🔧 Customization Tips
Adjust session times to normal future sessions to match your trading style.
Modify sweep sensitivity if too many/too few sweeps are detected.
Use volume thresholds to fine-tune high/low volume alerts.
📌 Final Notes
This indicator combines ICT concepts with volume analysis for a powerful trading edge. Use it alongside price action and market structure for best results at your own risk.
3 Zero Lag + 3 Moving Averages + 3 RVWAPThe "3 Zero Lag + 3 Moving Averages + 3 RVWAP" (ZMR) indicator combines three groups of tools for technical analysis.
1. Three Customizable Moving Averages (MAs):
Configuration for Each MA:
Choice of 7 types (SMA, EMA, WMA, HMA, VWMA, LSMA, SMMA).
Independent periods and price sources for each line.
Visualization:
MA1 (Blue), MA2 (Red), MA3 (Green).
2. Three Zero Lag EMAs (ZLEMA) with Individual Settings:
Lag Reduction: Corrects traditional EMA lag using:
Adjusted Price = 2 * Current Price - Price .
Flexibility:
Unique lengths (20, 50, 70) and individual price sources for each ZLEMA (HLC3, HL2, Close, etc.).
Colors:
ZLEMA1 (Yellow), ZLEMA2 (Orange), ZLEMA3 (Purple).
3. Three Rolling VWAPs with Custom Parameters:
Volume-Weighted Average Price (VWAP):
Calculated for three periods (20, 50, 100) with dedicated price sources for each VWAP.
Colors:
VWAP1 (Pink), VWAP2 (Light Blue), VWAP3 (Neon Green).
WREKS Theory📊 WREKS Theory – Advanced Market Structure & Auto-Fibonacci Indicator
By WREKS Trading Community
📊 WREKS Theory – Advanced Market Structure & Auto-Fibonacci Indicator
By WREKS Trading Community
✅ Overview
The WREKS Theory indicator is a robust, all-in-one technical analysis tool designed to identify trend direction, generate buy/sell signals, and project key Fibonacci levels for precision trading. It merges the logic of Dow Theory (Higher Highs & Higher Lows), SMA filtering, and automated Fibonacci clusters based on ZigZag pivots to highlight optimal price zones for entry, reversal, and take-profit.
🧠 Built-in Logic
Dow Theory Engine: Detects confirmed uptrends and downtrends based on recent pivot highs and lows.
SMA-144 Filter: Confirms signal strength by filtering trades aligned with the dominant trend.
ZigZag-based Auto-Fibonacci: Dynamically maps Fibonacci retracement and extension levels from the most recent swing, with color-coded visual lines and labels.
Signal Dashboard: Displays trend change counts (Uptrends / Downtrends) and real-time status in a clean table on the chart.
Smart Alerts: Triggers when buy/sell signals occur or when price crosses Fibonacci levels.
📌 Key Features
🔺 Buy / Sell Markers: Auto-labeled on the chart using real-time trend shift confirmation.
📈 Fibonacci Cluster Map: Automatically draws up to 22 customizable Fib levels including negative retracements and advanced extensions (0.236 to 4.618+).
🎯 Trend Labels: Clearly marks “Uptrend” and “Downtrend” zones.
💡 Visual Table: Quick reference for signal frequency and trend transitions.
🔔 Alerts: Built-in alerts for trade signals and price interactions with Fib levels.
⚙️ Fully Customizable: Modify SMA, pivot length, depth, deviation multiplier, line extension style, color themes, and more.
📈 Benefits for Traders
✅ Enhanced Trend Confirmation using Dow Theory logic with SMA filtering.
✅ Precision Entry & Exit Zones through auto-drawn Fibonacci retracement and extension levels.
✅ Reduces False Signals by requiring both market structure and trend alignment.
✅ Saves Time with automated drawing and real-time alerts.
✅ Ideal for All Assets & Timeframes: Works seamlessly across Forex, Crypto, Stocks, and Commodities.
💼 Best Use Cases
Intraday & swing trading using market structure.
Identifying major retracement zones for pullback entries.
Recognizing Fibonacci confluence zones to set stop-loss and take-profit levels.
Trend-following strategies validated by SMA and Dow confirmation.
CYCLE BY RiotWolftradingDescription of the "CYCLE" Indicator
The "CYCLE" indicator is a custom Pine Script v5 script for TradingView that visualizes cyclic patterns in price action, dividing the trading day into specific sessions and 90-minute quarters (Q1-Q4). It is designed to identify and display market phases (Accumulation, Manipulation, Distribution, and Continuation/Reversal) along with key support and resistance levels within those sessions. Additionally, it allows customization of boxes, lines, labels, and colors to suit user preferences.
Main Features
Cycle Phases:
Accumulation (1900-0100): Represents the phase where large operators accumulate positions.
Manipulation (0100-0700): Identifies potential manipulative moves to mislead retail traders.
Distribution (0700-1300): The phase where large operators distribute their positions.
Continuation/Reversal (1300-1900): Indicates whether the price continues the trend or reverses.
90-Minute Quarters (Q1-Q4):
Divides each 6-hour cycle (360 minutes) into four 90-minute quarters (Q1: 00:00-01:30, Q2: 01:30-03:00, Q3: 03:00-04:30, Q4: 04:30-06:00 UTC).
Each quarter is displayed with a colored box (Q1: light purple, Q2: light blue, Q3: light gray, Q4: light pink) and labels (defaulted to black).
Support and Resistance Visualization:
Draws boxes or lines (based on settings) showing the high and low levels of each session.
Optionally displays accumulated volume at the highs and lows within the boxes.
Daily Lines and Last 3 Boxes:
How to Use the Indicator
Step 1: Add the Indicator to TradingView
Open TradingView and select the chart where you want to apply the indicator (e.g., UMG9OOR on a 5-minute timeframe, as shown in the screenshot).
Go to the Pine Editor (at the bottom of the TradingView interface).
Copy and paste the provided code.
Click Compile and then Add to Chart.
Step 2: Configure the Indicator
Click on the indicator name on the chart ("CYCLE") and select Settings (or double-click the name).
Adjust the options based on your needs:
Cycle Phases: Enable/disable phases (Accumulation, Manipulation, Distribution, Continuation/Reversal) and adjust their time slots if needed.
90-Minute Quarters: Enable/disable quarters (Q1-Q4).
Step 3: Interpret the Indicator
Identify Cycle Phases:
Observe the red boxes indicating the phases (Accumulation, Manipulation, etc.).
The high and low levels within each phase are potential support/resistance zones.
If volume is enabled, pay attention to the accumulated volume at highs and lows, as it may indicate the strength of those levels.
Use the 90-Minute Quarters (Q1-Q4):
The colored boxes (Q1-Q4) divide the day into 90-minute segments.
Each quarter shows the price range (high and low) during that period.
Use these boxes to identify price patterns within each quarter, such as breakouts or consolidations.
The labels (Q1, Q2, etc.) help you track time and anticipate potential moves in the next quarter.
Analyze Support and Resistance:
The high and low levels of each phase/quarter act as support and resistance.
Daily lines (if enabled) show key levels from the previous day, useful for planning entries/exits.
The "last 3 boxes below price" (if enabled) highlight potential support levels the price might target.
Avoid Manipulation:
During the Manipulation phase (0100-0700), be cautious of sharp moves or false breakouts.
Use the high/low levels of this phase to identify potential traps (as explained in your first question about manipulation candles).
Step 4: Trading Strategy
Entries and Exits:
Support/Resistance: Use the high/low levels of phases and quarters to set entry or exit points.
For example, if the price bounces off a Q1 support level, consider a buy.
Breakouts: If the price breaks a high/low of a quarter (e.g., Q2), wait for confirmation to enter in the direction of the breakout.
Volume: If accumulated volume is high near a key level, that level may be more significant.
Risk Management:
Place stop-loss orders below lows (for buys) or above highs (for sells) identified by the indicator.
Avoid trading during the Manipulation phase unless you have a specific strategy to handle false breakouts.
Time Context:
Use the quarters (Q1-Q4) to plan your trades based on time. For example, if Q3 is typically volatile in your market, prepare for larger moves between 03:00-04:30 UTC.
Step 5: Adjustments and Testing
Test on Different Timeframes: The indicator is set for a 5-minute timeframe (as in the screenshot), but you can test it on other timeframes (e.g., 1-minute, 15-minute) by adjusting the time slots if needed.
Adjust Colors and Styles: If the default colors are not visible on your chart, change them for better clarity.
---
📌 1. **Accumulation: Strong Institutional Activity**
- During the **accumulation phase, we see **high volume: 82.773K, which suggests strong buying interest**, likely from institutional players.
- This sets the base for the following upward move in price.
---
📌 2. **Manipulation: False Breakout with Lower Volume**
- Later, there's a manipulation phase where price breaks above previous highs, but the volume (71.814K) is **lower than during accumulation**.
- This implies that buyers are not as aggressive as before—no real demandbehind the breakout.
- It’s likely a bull trap, where smart money is selling into the breakout to exit their positions.
---
### 📌 3. Distribution: Weakness and Lack of Demand
- The market enters a distribution phase, and volume drops even further (only 7.914K).
- Price struggles to go higher, and you start seeing rejections at the top.
- This shows that demand is drying up, and smart money is offloading positions**—not accumulating anymore.
---
### 💡 Why Take the Short Here?
- Volume is not increasing with new highs—showing weak demand**.
- The manipulation volume is weaker than the accumulation volume, confirming the breakout was likely false.
- Structure starts to break down (Q levels falling), which confirms weakness.
- This creates a high-probability short setup:
- **Entry:** after confirmation of distribution and structural breakdown.
- **Stop loss:** above the manipulation high.
- **Target:** down toward previous lows or value zones.
---
### ✅ Conclusion
Since the manipulation volume failed to exceed the accumulation volume, the breakout lacked real strength. Combined with decreasing volume in the distribution phase, this indicates fading demand and supply taking control—which justifies entering a short position.
Volume Signal RSIVolume Signal RSI (VSR) Indicator
Overview:
The Volume Signal RSI (VSR) indicator combines traditional RSI analysis with statistically significant volume detection to identify potential reversal points and exhaustion signals in crypto markets. By applying statistical methods to volume analysis, VSR filters out normal market noise and highlights only the most meaningful volume spikes.
Key Features:
- Standard RSI overbought/oversold signals (70/30)
- Statistical volume significance detection using z-scores and p-values
- Exhaustion signals for potential market reversals
- Enhanced alert system with actionable trading context
How to Use This Indicator
Basic Signals:
- RSI Line: The blue line shows the standard RSI value (default period: 14)
- Overbought/Oversold Levels: Standard levels at 70/30 with additional extreme levels at 80/20
- Volume Detection: Small circles appear on the RSI line when statistically significant volume is detected
Trading Signals
1. Oversold Alert (🔴): When RSI crosses below 30
- Indicates potential support area
- Consider for long entries when price shows signs of stabilizing
2. Overbought Alert (🟢): When RSI crosses above 70
- Indicates potential resistance area
- Consider for short entries when price shows signs of topping
3. Bear Exhaustion Signal (⚠️): When bearish volume appears in oversold territory
- Indicates a potential selling climax
- Strong reversal signal when accompanied by positive price action
- Best used for counter-trend entries during downtrends
4. Bull Exhaustion Signal (⚠️): When bullish volume appears in overbought territory
- Indicates a potential buying climax
- Strong reversal signal when accompanied by negative price action
- Best used for counter-trend entries during uptrends
Alert Messages:
Alert messages contain critical information formatted for quick analysis:
- Symbol and timeframe
- Current price and RSI value with direction indicator
- Volume metrics: z-score, deviation percentage, and statistical confidence
- Trading context suggestion
Statistical Methodology:
- Z-Score: Measures how many standard deviations the current volume is from the mean
- P-Value: Statistical measure of significance (lower values = more significant)
- Confidence: Displayed as a percentage (higher = more confidence in the signal)
- Volume Deviation: Percentage above/below the average volume
Best Practices
1. Confirm signals with price action or other indicators
2. Higher timeframes typically produce more reliable signals
3. Use the statistical confidence percentage to gauge signal strength
4. Most powerful signals occur when exhaustion signals coincide with key support/resistance levels and there a quarter or more wick size at top of candle(buying exhaustion) or at bottom of candle (selling exhaustion)
