Session Volume Analyzer [JOAT]
Session Volume Analyzer — Global Trading Session and Volume Intelligence System
This indicator addresses the analytical challenge of understanding market participation patterns across global trading sessions. It combines precise session detection with comprehensive volume analysis to provide insights into when and how different market participants are active. The tool recognizes that different trading sessions exhibit distinct characteristics in terms of participation, volatility, and volume patterns.
Why This Combination Provides Unique Analytical Value
Traditional session indicators typically only show time boundaries, while volume indicators show raw volume data without session context. This creates analytical gaps:
1. **Session Context Missing**: Volume spikes without session context provide incomplete information
2. **Participation Patterns Hidden**: Different sessions have different participant types (retail, institutional, algorithmic)
3. **Comparative Analysis Lacking**: No easy way to compare volume patterns across sessions
4. **Timing Intelligence Absent**: Understanding WHEN volume occurs is as important as HOW MUCH volume occurs
This indicator's originality lies in creating an integrated session-volume analysis system that:
**Provides Session-Aware Volume Analysis**: Volume data is contextualized within specific trading sessions
**Enables Cross-Session Comparison**: Compare volume patterns between Asian, London, and New York sessions
**Delivers Participation Intelligence**: Understand which sessions are showing above-normal participation
**Offers Real-Time Session Tracking**: Know exactly which session is active and how current volume compares
Technical Innovation and Originality
While session detection and volume analysis exist separately, the innovation lies in:
1. **Integrated Session-Volume Architecture**: Simultaneous tracking of session boundaries and volume statistics creates comprehensive market participation analysis
2. **Multi-Session Volume Comparison System**: Real-time calculation and comparison of volume statistics across different global sessions
3. **Adaptive Volume Threshold Detection**: Automatic identification of above-average volume periods within session context
4. **Comprehensive Visual Integration**: Session backgrounds, volume highlights, and statistical dashboards provide complete market participation picture
How Session Detection and Volume Analysis Work Together
The integration creates a sophisticated market participation analysis system:
**Session Detection Logic**: Uses Pine Script's time functions to identify active sessions
// Session detection based on exchange time
bool inAsian = not na(time(timeframe.period, asianSession))
bool inLondon = not na(time(timeframe.period, londonSession))
bool inNY = not na(time(timeframe.period, nySession))
// Session transition detection
bool asianStart = inAsian and not inAsian
bool londonStart = inLondon and not inLondon
bool nyStart = inNY and not inNY
**Volume Analysis Integration**: Volume statistics are calculated within session context
// Session-specific volume accumulation
if asianStart
asianVol := 0.0
asianBars := 0
if inAsian
asianVol += volume
asianBars += 1
// Real-time session volume analysis
float asianAvgVol = asianBars > 0 ? asianVol / asianBars : 0
**Relative Volume Assessment**: Current volume compared to session-specific averages
float volMA = ta.sma(volume, volLength)
float volRatio = volMA > 0 ? volume / volMA : 1
// Volume classification within session context
bool isHighVol = volRatio >= 1.5 and volRatio < 2.5
bool isVeryHighVol = volRatio >= 2.5
This creates a system where volume analysis is always contextualized within the appropriate trading session, providing more meaningful insights than raw volume data alone.
Comprehensive Session Analysis Framework
**Default Session Definitions** (customizable based on broker timezone):
- **Asian Session**: 1800-0300 (exchange time) - Represents Asian market participation including Tokyo, Hong Kong, Singapore
- **London Session**: 0300-1200 (exchange time) - Represents European market participation
- **New York Session**: 0800-1700 (exchange time) - Represents North American market participation
**Session Overlap Analysis**: The system recognizes and highlights overlap periods:
- **London/New York Overlap**: 0800-1200 - Typically the highest volume period
- **Asian/London Overlap**: 0300-0300 (brief) - Transition period
- **New York/Asian Overlap**: 1700-1800 (brief) - End of NY, start of Asian
**Volume Intelligence Features**:
1. **Session-Specific Volume Accumulation**: Tracks total volume within each session
2. **Cross-Session Volume Comparison**: Compare current session volume to other sessions
3. **Relative Volume Detection**: Identify when current volume exceeds historical averages
4. **Participation Pattern Analysis**: Understand which sessions show consistent high/low participation
Advanced Volume Analysis Methods
**Relative Volume Calculation**:
float volMA = ta.sma(volume, volLength) // Volume moving average
float volRatio = volMA > 0 ? volume / volMA : 1 // Current vs average ratio
// Multi-tier volume classification
bool isNormalVol = volRatio < 1.5
bool isHighVol = volRatio >= 1.5 and volRatio < 2.5
bool isVeryHighVol = volRatio >= 2.5
bool isExtremeVol = volRatio >= 4.0
**Session Volume Tracking**:
// Cumulative session volume with bar counting
if londonStart
londonVol := 0.0
londonBars := 0
if inLondon
londonVol += volume
londonBars += 1
// Average volume per bar calculation
float londonAvgVol = londonBars > 0 ? londonVol / londonBars : 0
**Cross-Session Volume Comparison**:
The system maintains running totals for each session, enabling real-time comparison of participation levels across different global markets.
What the Display Shows
Session Backgrounds — Colored backgrounds indicating which session is active
- Pink: Asian session
- Blue: London session
- Green: New York session
Session Open Lines — Horizontal lines at each session's opening price
Session Markers — Labels (AS, LN, NY) when sessions begin
Volume Highlights — Bar coloring when volume exceeds thresholds
- Orange: High volume (1.5x+ average)
- Red: Very high volume (2.5x+ average)
Dashboard — Current session, cumulative volume, and averages
Color Scheme
Asian — #E91E63 (pink)
London — #2196F3 (blue)
New York — #4CAF50 (green)
High Volume — #FF9800 (orange)
Very High Volume — #F44336 (red)
Inputs
Session Times:
Asian Session window (default: 1800-0300)
London Session window (default: 0300-1200)
New York Session window (default: 0800-1700)
Volume Settings:
Volume MA Length (default: 20)
High Volume threshold (default: 1.5x)
Very High Volume threshold (default: 2.5x)
Visual Settings:
Session colors (customizable)
Show/hide backgrounds, lines, markers
Background transparency
How to Read the Display
Background color shows which session is currently active
Session open lines show where each session started
Orange/red bars indicate above-average volume
Dashboard shows cumulative volume for each session today
Alerts
Session opened (Asian, London, New York)
High volume bar detected
Very high volume bar detected
Important Limitations and Realistic Expectations
Session times are approximate and depend on your broker's server timezone—manual adjustment may be required for accuracy
Volume data quality varies significantly by broker, instrument, and market type
Cryptocurrency and some forex markets trade continuously, making traditional session boundaries less meaningful
High volume indicates participation level only—it does not predict price direction or market outcomes
Session participation patterns can change over time due to market structure evolution, holidays, and economic conditions
This tool displays historical and current market participation data—it cannot predict future volume or price movements
Volume spikes can occur for numerous reasons unrelated to directional price movement (news, algorithmic trading, etc.)
Different instruments exhibit different session sensitivity and volume patterns
Market holidays and special events can significantly alter normal session patterns
Appropriate Use Cases
This indicator is designed for:
- Market participation pattern analysis
- Session-based trading schedule planning
- Volume context and comparison across sessions
- Educational study of global market structure
- Supplementary analysis for session-based strategies
This indicator is NOT designed for:
- Standalone trading signal generation
- Volume-based price direction prediction
- Automated trading system triggers
- Guaranteed session pattern repetition
- Replacement of fundamental or sentiment analysis
Understanding Session Analysis Limitations
Session analysis provides valuable context but has inherent limitations:
- Session patterns can change due to economic conditions, holidays, and market structure evolution
- Volume patterns may not repeat consistently across different market conditions
- Global events can override normal session characteristics
- Different asset classes respond differently to session boundaries
- Technology and algorithmic trading continue to blur traditional session distinctions
— Made with passion by officialjackofalltrades
指標和策略
55 theory by haze!The 55 Theory by Haze! This innovative indicator embodies the essence of day trading mastery, empowering traders to decipher and capitalize on the subtle clues—or "breadcrumbs"—that major institutional banks inadvertently leave in the market when executing their substantial orders. Providing clear visual support and resistance levels for informed decision-making. Users can choose between a streamlined "Today Only" mode, which displays lines solely for the most recent session or an expansive "Historical Mode" that allows toggling the display of multiple past days simultaneously for deeper trend analysis. Additional customization options include adjustable line colours, widths, and styles to suit individual preferences and chart aesthetics, making it a versatile tool for both novice and seasoned traders navigating volatile markets.
MTF Candle-Body StructureMTF Candle-Body Structure: Overview and Logic
MTF Candle-Body Structure:概要とロジック解説
This indicator is a professional-grade market structure analysis tool that identifies trend shifts based exclusively on the closing price (Candle Body) relative to previous structural points. It integrates multiple timeframes (MTF) to provide a comprehensive view of the market trend.
このインジケーターは、過去の構造点に対する**終値(ローソク足の実体)**の抜けのみに基づいてトレンド転換を識別する、プロ仕様の市場構造分析ツールです。複数の時間足(MTF)を統合し、市場トレンドの包括的な視点を提供します。
1. Core Logic: Candle-Body Breakout
1. 核心ロジック:ローソク足実体のブレイクアウト
Unlike standard indicators that use high/low wicks, this logic requires a confirmed close above or below the previous structure to signal a change.
ヒゲ(高値・安値)を使用する一般的なインジケーターとは異なり、このロジックは前回の構造を上回る、または下回る終値の確定を転換のシグナルとして必要とします。
Bullish Break (上昇ブレイク): A candle closes above the previous high. (ローソク足が前回の高値を上回って確定。)
Bearish Break (下降ブレイク): A candle closes below the previous low. (ローソク足が前回の安値を下回って確定。)
2. Multi-Timeframe (MTF) Integration
2. マルチタイムフレーム(MTF)の統合
The indicator tracks structure across 7 different timeframes, from 3-Month down to 15-Minute.
このインジケーターは、3か月足から15分足まで、7つの異なる時間軸で構造を追跡します。
Higher TF (1D, 4H): Defines the major trend direction (Dashboard 1). (長期トレンドの方向性を定義。ダッシュボード1に表示。)
Lower TF (1H, 15M): Identifies short-term execution windows (Dashboard 2). (短期的なエントリータイミングを特定。ダッシュボード2に表示。)
3. Structural Lines & Gray Lines
3. 構造ラインとグレーライン
Confirmed Lines (Blue/Red): Represent the established support and resistance levels of the current trend. (青/赤の確定ライン:現在のトレンドにおける確立されたサポート・レジスタンスレベル。)
Gray Lines (Structural Updates): These lines track the most recent high or low before a new break is confirmed, helping you visualize where the structure is "updating" in real-time. (グレーライン:新しいブレイクが確定する前の直近高値・安値を追跡し、リアルタイムで構造がどこで「更新」されているかを可視化します。)
4. Pullback Alert Logic
4. プルバック(押し目・戻り)アラートのロジック
The "●" labels and alerts are triggered when the market trend is aligned across timeframes, but a short-term "pullback" occurs.
「●」ラベルとアラートは、市場トレンドが各時間軸で一致している状況で、短期的な「プルバック」が発生した際にトリガーされます。
Trend Alignment: Both Higher and Lower TFs must be in the same direction (e.g., both Blue). (トレンドの一致:長期と短期のMTFが同じ方向であること(例:共に青)。)
The Trigger: A counter-trend candle (e.g., a Bearish candle in a Bullish trend) confirms as a pullback entry point. (トリガー:トレンドと逆方向の足(例:上昇トレンド中の陰線)が、プルバックのエントリーポイントとして確定。)
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Synergy with 20SMA
20SMAとの併用による優位性
"This indicator becomes even more powerful when used in conjunction with the 20SMA (Simple Moving Average)." 「このインジケーターは、20SMA(期間20の単純移動平均線)と一緒に使うと非常に強力です。」
Verified Astro-Table SimplifiedThis script, titled the **Financial Astrological Ephemeris Table**, is designed to be a high-precision astronomical dashboard for TradingView. Unlike standard indicators that rely on price formulas, this script serves as a **digital bridge** between professional Swiss Ephemeris data and your trading chart.
Here is a detailed breakdown of what the script provides and how to maximize its utility.
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**1. What the Script Provides**
**A. 100% Ephemeris Synchronization**
Most "Astro" indicators in TradingView use "mean motion" math, which drifts over time. This script uses **Static Switch Logic**. By hard-coding the data from the Swiss Ephemeris, the script ensures that the degrees you see on your chart match the physical reality of the sky.
* **Sun & Moon**: Accurate to the degree for the current period.
* **Saturn & Outer Planets**: Corrects the "sign drift" found in other scripts, keeping Saturn in its true position (late Pisces for 2025).
**B. Sign & Degree Tracking**
The script translates raw longitude (0–360°) into the traditional 12-sign zodiac format (`Sign` + `Degree`). This allows you to immediately identify where planets are transiting relative to key price levels.
**C. The Sun-Relative House System**
The script calculates an **Equal House System** based on the Sun's current position.
* This treats the Sun as the "Rising" point for the day's dashboard, showing you how other planets are "angled" relative to the Sun's current solar light.
**D. Stability and Performance**
Because the script uses `barstate.islast`, it only calculates for the most recent candle. This prevents "Runtime Errors" and ensures your TradingView platform remains fast and responsive, even on low-powered laptops.
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**2. How to Use it Effectively**
**A. Identifying Confluence with Price**
Watch for "Degree Hits." If the table shows **Saturn at 25° Pisces** and your asset is hitting a major resistance level at a number ending in **25** (or a harmonic like 2.50), it signifies a moment of "Astro-Price Confluence." These are often high-probability reversal points.
**B. Customizing the Visual Experience**
You can tailor the dashboard to your specific chart layout via the **Settings (Gear Icon)**:
* **Position**: Move the table to any corner (Top Right, Bottom Left, etc.) so it doesn't block your price action.
* **Transparency**: Adjust the "Background Color" to make the table more subtle or more prominent.
* **Text Size**: If you trade on a mobile device, set the text to "Normal." If you use a 4K monitor, set it to "Tiny" to save space.
**C. Managing the "Switch" Data**
To keep the script accurate for the long term, I will update the `get_pdf_lon` block once a month (or once a year) with the new coordinates from the Swiss Ephemeris.
**D. Directional Trading (The "Dir" Column)**
The script includes a "Direction" column. Use this to track if a planet is **Direct (D)** or **Retrograde (Rx)**.
**Strategy**: If a planet is listed as "D," its influence is considered "forward-moving" and predictable. If you update the code to show "Rx," expect the market sectors associated with that planet to experience "re-evaluations" or delays.
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### Summary of Benefits for the User
1. **Eliminates Guesswork**: You no longer have to flip between an Ephemeris and TradingView; the data is on your screen.
2. **Historical Analysis**: You can manually change the data in the script to a historical date to see exactly how the "Astro-Weather" looked during a previous market crash or rally.
Liquidity Sweeps [Kodexius]Liquidity Sweeps is a price action indicator built to visualize and react to common “stop run” behavior around recent swing highs and swing lows. It continuously detects pivot-based liquidity levels (recent resistance and support), extends them forward in time, and then classifies the interaction when price probes beyond a level but fails to hold through it.
The script focuses on two outcomes:
Buy-Side Liquidity Sweep (BSL): price takes liquidity above a recent swing high (high breaks above the level) but closes back at or below the level.
Sell-Side Liquidity Sweep (SSL): price takes liquidity below a recent swing low (low breaks below the level) but closes back at or above the level.
To support real trading workflows, it keeps charts readable by limiting active levels, offers clean styling options, and optionally filters sweep signals using relative volume (RVOL) so you can require participation before a sweep is considered valid.
🔹 Features
🔸 Pivot-Based Liquidity Level Detection (Swing Highs and Swing Lows)
The indicator uses a user-defined Pivot Length to identify confirmed swing points:
Pivot Highs become resistance liquidity levels (buy-side liquidity above highs).
Pivot Lows become support liquidity levels (sell-side liquidity below lows).
Each detected level is drawn as a horizontal line and automatically extended to the current bar until it is swept or broken.
🔸 Automatic Level Management (De-Cluttering)
To prevent chart overload, the script stores levels in internal arrays and enforces Maximum Active Levels:
When new levels are added and the limit is exceeded, the oldest level is removed.
This keeps only the most relevant, recent liquidity zones visible.
🔸 Clear Sweep Classification (BSL and SSL)
The sweep logic is intentionally strict and practical:
- BSL Sweep triggers when the bar’s high is above resistance but the close is back below or at resistance.
- SSL Sweep triggers when the bar’s low is below support but the close is back above or at support.
This models the “probe and reject” behavior typical of liquidity grabs.
🔸 Optional Volume Confirmation Using RVOL
When Enable Volume Filter is turned on, sweeps are only valid if the current bar’s volume is strong relative to the last 20 bars:
The script computes a 20-period volume average.
You can require volume to exceed the average by a chosen Volume Multiplier (example: 1.5 means 150% of the average).
If the filter is disabled, sweeps are evaluated purely on price conditions.
🔸 Sweep Labels and Level Highlighting
On a valid sweep:
A label is printed on the sweep bar:
- ▼ BSL for buy-side liquidity sweeps (yellow)
- ▲ SSL for sell-side liquidity sweeps (blue)
The swept level is highlighted by drawing an additional colored line over the swept range.
The script also prints the bar’s RVOL percentage near the midpoint of the swept line segment:
- BSL volume text is placed above the line midpoint
- SSL volume text is placed below the line midpoint
This makes it easy to see whether a sweep was low-effort or supported by strong participation.
🔸 Styling Controls
You can fully tailor the visual output:
Resistance and support line colors
Line style selection: Solid, Dotted, Dashed
Toggle sweep labels on or off
🔸 Alerts
The indicator exposes alert conditions for both sweep types and also fires explicit alert messages once per bar close when a sweep is confirmed:
- Buy Liquidity Sweep (BSL)
- Sell Liquidity Sweep (SSL)
🔹 Calculations
1) Pivot High / Pivot Low Detection
float ph = ta.pivothigh(high, pivotPeriodInput, pivotPeriodInput)
float pl = ta.pivotlow(low, pivotPeriodInput, pivotPeriodInput)
Interpretation:
A pivot is only confirmed after pivotPeriodInput bars have passed.
Once confirmed, the level is anchored at the pivot bar and then extended forward.
2) Creating and Storing Liquidity Levels
New Resistance (Pivot High):
if not na(ph)
line newL = line.new(bar_index , ph, bar_index, ph,
color = resistanceColorInput, width = 1, style = getLineStyle(lineStyleInput))
resistanceLevels.push(LiquidityLevel.new(ph, bar_index , newL))
if resistanceLevels.size() > maxLinesInput
(resistanceLevels.shift()).delete()
New Support (Pivot Low):
if not na(pl)
line newL = line.new(bar_index , pl, bar_index, pl,
color = supportColorInput, width = 1, style = getLineStyle(lineStyleInput))
supportLevels.push(LiquidityLevel.new(pl, bar_index , newL))
if supportLevels.size() > maxLinesInput
(supportLevels.shift()).delete()
This enforces the “Maximum Active Levels” limit by deleting the oldest stored level when the cap is exceeded.
3) Relative Volume (RVOL) and Volume Filter
float volAvg = ta.sma(volume, 20)
float volRelative = (volume / volAvg) * 100
bool isVolStrong = not useVolFilterInput or (volume > volAvg * volMultiplierInput)
volRelative expresses the sweep bar’s volume as a percentage of the last 20-bar average.
If the filter is enabled, a sweep is valid only when isVolStrong is true.
4) Sweep Conditions (Core Logic)
Buy-Side Liquidity Sweep (Resistance Sweep)
A resistance level is considered swept when price trades above it but closes back at or below it.
bool priceSwept = high > lvl.price and close <= lvl.price
bool broken = close > lvl.price
priceSwept captures the “probe and reject” behavior.
broken invalidates the level if price closes above it.
The confirmation and cleanup flow:
if priceSwept and isVolStrong
buySweepOccurred := true
if showLabelsInput
label.new(bar_index, high, "▼ BSL",
style = label.style_label_down, color = #00000000,
textcolor = C_SWEEP_BUY, size = size.small)
line.new(lvl.startBar, lvl.price, bar_index, lvl.price, color = C_SWEEP_BUY, width = 1)
int midX = math.round((lvl.startBar + bar_index) / 2)
label.new(midX, lvl.price, str.tostring(volRelative, "#") + "% VOL",
color = #00000000, textcolor = color.new(C_SWEEP_BUY, 20),
style = label.style_label_down, size = size.tiny)
resistanceLevels.remove(i).delete()
else if broken
resistanceLevels.remove(i).delete()
Sell-Side Liquidity Sweep (Support Sweep)
A support level is considered swept when price trades below it but closes back at or above it.
bool priceSwept = low < lvl.price and close >= lvl.price
bool broken = close < lvl.price
The confirmation and cleanup flow:
if priceSwept and isVolStrong
sellSweepOccurred := true
if showLabelsInput
label.new(bar_index, low, "▲ SSL",
style = label.style_label_up, color = #00000000,
textcolor = C_SWEEP_SELL, size = size.small)
line.new(lvl.startBar, lvl.price, bar_index, lvl.price, color = C_SWEEP_SELL, width = 1)
int midX = math.round((lvl.startBar + bar_index) / 2)
label.new(midX, lvl.price, str.tostring(volRelative, "#") + "% VOL",
color = #00000000, textcolor = color.new(C_SWEEP_SELL, 20),
style = label.style_label_up, size = size.tiny)
supportLevels.remove(i).delete()
else if broken
supportLevels.remove(i).delete()
5) Level Extension to Current Bar
method update(LiquidityLevel this) =>
line.set_x2(this.lineObj, bar_index)
This keeps each active liquidity level extended to the current candle until it is swept or decisively broken.
6) Alerts
alertcondition(buySweepOccurred, "Buy Liquidity Sweep", "BSL Swept!")
alertcondition(sellSweepOccurred, "Sell Liquidity Sweep", "SSL Swept!")
if buySweepOccurred
alert("Kodexius BSL Sweep: " + str.tostring(close), alert.freq_once_per_bar_close)
if sellSweepOccurred
alert("Kodexius SSL Sweep: " + str.tostring(close), alert.freq_once_per_bar_close)
ICT FVG MNQ (Fixed Stop + Multi-TP Toggles)use- 18 min timeframe.
ICT FVG - use on MNQ 18 min time frame.
it has muti TP levels.-
Prop firm compatible.
Enjoy trading
Max Pain Options [QuantLabs] v5 (Balanced)Institutional Grade Options Analysis: Max Pain, Gamma & Pin Risk
For years, TradingView users have been flying blind without access to Options Chain data. QuantLabs: Max Pain & Gamma Exposure changes that. This is not just a support/resistance indicator—it is a sophisticated, algorithmic model that reverse-engineers the incentives of Market Makers using synthetic Black-Scholes logic.
This tool visualizes the "invisible hand" of the market: the hedging requirements of large dealers who are forced to buy or sell to keep their books neutral.
CORE FEATURES:
🔴 Max Pain Gravity Model The bright red line represents the "Max Pain" strike—the price level where the maximum amount of Options Open Interest (Calls + Puts) expires worthless.
Theory: As OpEx (Expiration) approaches, Market Makers maximize profits by pinning the price to this level.
Strategy: Use this as a mean-reversion target. If price is far away, look for a snap-back to the red line.
🟣 Gamma Exposure Profiles (The Purple Lines) These neon histograms show you the estimated "Gamma Walls."
Long Gamma: Dealers trade against the trend (stabilizing price).
Short Gamma: Dealers trade with the trend (accelerating volatility).
Visual: The larger the purple bar, the harder it will be for price to break through that level.
📦 Algorithmic "Pin Risk" Zones The dashed red box highlights the "Kill Zone." When price enters this area near expiration, volatility often dies as dealers pin the asset to kill retail premiums.
Warning: Do not expect breakouts while inside the Pin Zone.
📊 Institutional HUD A clean, non-intrusive dashboard provides real-time Greeks and risk analysis:
Pin Risk: High/Medium/Low probability of a pinned close.
Exp Mode: Detects if the market is in "Short Gamma" (Squeeze territory) or "Long Gamma" (Chop territory).
HOW IT WORKS (The Math): Since live options data is not available via Pine Script, this engine uses a proprietary Synthetic OI Distribution Model. It inputs Volume, Volatility (IV), and Time-to-Expiry into a modified Black-Scholes equation to probability-map where the heavy open interest likely sits.
SETTINGS & CUSTOMIZATION:
Responsiveness: Tuned for the "Goldilocks Zone" (Spread: 12, Decay: 22) to catch local liquidity walls without over-fitting.
Visuals: Designed for Dark Mode. High-contrast Neon aesthetics for maximum readability.
SCOTTGO - Float, Change %, Vol & RVol DataFloat, Vol & Short Data Dashboard
Overview
The Float, Vol & Short Data Dashboard is a professional-grade monitoring tool designed for equity traders who need to track supply, demand, and momentum in real-time. By aggregating float size, relative volume, and short-selling activity into a clean, customizable table, this script helps you identify high-conviction trade setups without cluttering your price chart.
Key Metrics Included
Float: (Shares) – Instantly see the available supply of shares to gauge potential volatility.
Change %: (From close) – Tracks the percentage gain/loss since the previous day's closing price.
Change %: (From open) – Monitors intraday strength by calculating the move from the 9:30 AM EST market open.
Volume: – Displays current daily volume with automated formatting (K, M, B).
RVOL: (Daily) – Relative Volume compared to a 10-day SMA; essential for spotting "volume-fueled" breakouts.
Short %: (Approx.) – Calculates the daily Short Volume Ratio (Short Volume / Total Volume), providing a real-time proxy for short-seller sentiment.
Professional Customization
This script was built with a focus on UI/UX:
Three-Row Header System: Features high-contrast main titles with muted-grey sub-titles for maximum readability.
Smart Color Logic: Price changes automatically toggle between green and red, while RVol highlights in orange when activity exceeds 1.5x average.
Adjustable Layout: Change the table position, text size, and background opacity.
Column Spacing: Includes a custom slider to adjust the horizontal gap between data columns, ensuring the dashboard fits any screen resolution.
How To Use
Add the script to your chart and use the Settings menu to toggle metrics or adjust the Column Spacing to your preference. Ideal for day traders and swing traders monitoring US Equities where float and short volume data are most impactful.
Long Position Region with Target & StopLong position region manually specified on QMCO. This is a test of a potential new indicator I am building
BB Squeeze - HighQToolsBBW Squeeze — HighQTools
As always, if anyone has any tips or additional features they'd like to see, feel free to reach out!
Overview
The BBW Percentile Squeeze highlights periods of exceptionally compressed volatility by measuring Bollinger Band Width (BBW) and ranking it within a rolling historical percentile. When BBW falls into the lowest portion of its own distribution, price is statistically “tight” relative to recent history—a condition that often precedes volatility expansion.
Instead of plotting an oscillator in a separate pane, this tool expresses information directly on the price chart by changing bar colors during squeeze conditions, keeping charts clean and execution-focused.
How It Works
Standard Bollinger Bands are calculated using a configurable length and standard deviation.
Band width is normalized and evaluated against a rolling lookback window.
The current width is converted into a percentile rank (0–100):
Lower percentile = tighter volatility
Higher percentile = expanded volatility
When the percentile drops below the user-defined threshold, the market is considered to be in a squeeze.
An optional RTH-only mode allows the percentile calculation to consider Regular Trading Hours bars only, which is especially useful for futures traders who want to ignore overnight volatility distortions.
Visual Signals
Squeeze Bars
Bars are recolored when BBW percentile falls below the selected threshold, indicating extreme compression.
Release Bar (optional)
The first bar exiting the squeeze can be highlighted separately, marking the resolution of compression.
No oscillator, no bands, no shapes—only context applied directly to price.
How to Use It
The squeeze itself is not a trade signal.
Squeeze conditions indicate stored energy—expect range expansion, not direction.
Focus on:
Market structure
Higher-timeframe context
Volume, delta, or acceptance/rejection
The release from squeeze often provides the best opportunity, especially when aligned with directional bias or structural breaks.
For best results, use this tool as a context filter alongside execution setups rather than as a standalone entry signal.
Recommended Settings
BB Length: 10
Std Dev: 2.0
Percentile Lookback: 200–300 bars
Squeeze Threshold: 5-10 percentile
RTH-only: Enabled for index futures
Disclaimer
This indicator is designed to provide context, not predictions. Always combine volatility information with sound risk management and a complete trading plan.
ICT FVG MNQ (Fixed Stop + Multi-TP Toggles)ICT FVG
use-18 Min timeframe
0) Stabilizer
Evaluation Mode: PriceCh... (PriceChange mode selected)
Bypass Session Filter: OFF (unchecked)
Bypass Open Delay: OFF
Bypass Cooldown: OFF
1) Entry Logic
Swing Strength (past-only): 4
FVG Min Size (ticks): 8
FVG Expire Bars: 12
2) Risk Management
Contracts (integer): 10
Hard Stop (ticks): 65
Use Trailing Stop: OFF
Trail Activation (ticks): 30
Trail Offset (ticks): 15
Use BreakEven (only with Trailing): OFF
BE Trigger (ticks): 20
BE Plus (ticks): 2
Cooldown Bars: 3
Market Open Delay (minutes): 2
2B) Multi Take Profit (No Trailing)
Use TP1/TP2/TP3 when Trailing OFF: ON (checked)
Enable TP1: ON
Enable TP2: ON
Enable TP3: OFF
TP1 Ticks: 29
TP2 Ticks: 54
TP3 Ticks: 54
TP1 %: 30
TP2 %: 60
TP3 %: 30
Move SL to Entry when TP2 fills: OFF (unchecked)
2C) Safety Exits
Force Exit at Session End: ON (checked)
(A “Max Bars In Trade” box is partially visible but not fully shown.)
3) Sessions
Timezone (IANA): America/New... (looks like America/New_York)
Enable Session 1: ON
S1 Start: 0 : 00
S1 End: 16 : 55
Enable Session 2: OFF
(Values shown: S2 Start 18:02, S2 End 23:55, but session 2 is disabled)
4) Visual
Show FVG Zones: ON
Show Dashboard: ON
Dashboard Position: TopRight
Elite MTF EMA ReclaimThis indicator is a trend-continuation tool, not a scalper.
Its purpose is to help you enter clean pullback trades in strong trends while blocking chop and low-quality setups.
It works by:
Requiring Daily + 1H trend alignment
Enforcing EMA structure (5/10/20/50) on the execution timeframe
Confirming momentum expansion using EMA slope + curvature
Blocking trades when conditions are choppy (low ATR, weak ADX, tight EMAs, recent EMA crosses)
Triggering entries only after a Pullback → Reclaim → (optional) Retest
How to use it:
Trade on the 6-minute chart (Forex works best based on default setting) but is adaptable to any market by changing settings
Wait for LONG / SHORT triangles only when no CHOP or HTF block is shown
Enter on the signal, place stops beyond EMA 50 or structure, target 2R–4R+
Expect fewer but higher-quality trades
What it’s not:
Not a breakout or range-trading indicator
Not meant to fire many signals
Not for choppy or low-volatility markets
Bottom line:
It helps you trade with higher-timeframe momentum, enter after pullbacks, and avoid bad market conditions.
SM Triple Zone: Daily / PM / ORB with AlertsTitle: SM Triple Zone: Daily / PM / ORB with Alerts
Description: This indicator is designed for intraday traders who focus on high-probability session levels. It visualizes three critical zones without cluttering your chart with historical data:
Daily Zone: Highlights the Previous Day High (PDH), Low (PDL), and Midpoint, anchored to the 9:30 AM NY Open.
Pre-Market Zone: Identifies the High and Low of the 04:00–09:30 AM pre-market session.
ORB Zone: Sets a 5-minute Opening Range Breakout zone (customizable) to capture early morning volatility.
Key Features:
Y-Axis Price Labels: All major levels are pinned to the price scale for quick reference.
Fully Customizable: Independent settings for line thickness, style (Solid/Dashed), and colors for every zone.
Master Alerts: Includes "Master Bullish" and "Master Bearish" alerts to notify you of breakouts from any of the three zones with a single alert setup.
Swing Trade System# Swing Trade Strategy - Complete Guide
## Overview
This is a comprehensive swing trading indicator for TradingView that identifies high-probability trend continuation setups using multi-timeframe analysis, pullback patterns, and momentum confirmation. The strategy combines technical indicators with risk management tools to help traders capture swing moves with defined risk-reward parameters.
## What It Does
The indicator identifies two types of signals:
1. **Base Signals** (small markers) - Initial setup detection with basic criteria met
2. **High Confidence (HC) Signals** (large markers) - Fully confirmed setups with all filters passed, including optional higher timeframe confirmation
Once a HC signal triggers, the indicator automatically plots:
- Dynamic stop loss levels (trailing, break-even, or static)
- Partial take profit (TP1) at 1R
- Final take profit (TP2) at your chosen risk-reward multiple
- Real-time R-multiple tracking
- Confluence dashboard showing all conditions
## How It Works
### Core Signal Logic
The strategy identifies pullback-to-trend entries using this sequence:
**For LONG signals:**
1. **Trend Filter**: Fast EMA (20) above Slow EMA (50) = uptrend confirmed
2. **Pullback**: Previous candle closed between the two EMAs (pulled back but didn't break structure)
3. **RSI Swing Zone**: RSI between 40-60 (not overbought/oversold, just resting)
4. **Reclaim**: Current candle crosses back above Fast EMA (momentum returning)
5. **Volume Spike** (optional): Current volume > 1.5x the 20-period average
6. **HTF Confirmation** (optional): Daily timeframe shows: price > 50 EMA, RSI > 50, and rising momentum
**For SHORT signals:**
The same logic applies in reverse (downtrend, pullback above fast EMA, reclaim below, etc.)
### Risk Management Features
**Stop Loss Placement:**
- Initial stop: Swing low/high over the last 10 bars
- Can upgrade to ATR trailing stop (2x ATR below/above price)
- Can move to break-even after reaching 1R profit
**Take Profit Levels:**
- TP1: 1R (optional partial exit point)
- TP2: 2R default (adjustable to your preference)
**Position Monitoring:**
- Live R-multiple display shows current profit/loss in risk units
- Dynamic stop updates visually on chart
- Color-coded confidence score (0-100%) based on confluence of factors
## Best Way to Use These Signals
### 1. **Wait for High Confidence Signals Only**
- Don't trade every base signal (small markers)
- Only take trades when you see the large "HC L" or "HC S" markers
- These have passed all your filters including higher timeframe alignment
### 2. **Ideal Entry Timing**
**On the Signal Candle:**
- Enter at market close when HC signal fires
- This ensures all conditions were met by candle close
- Your stop and targets are calculated from this close price
**On the Next Candle (more conservative):**
- Wait for the candle after the signal
- Enter if price continues in the signal direction
- Helps avoid false breakouts but may miss some moves
### 3. **Position Sizing**
Use the automatic risk calculation:
- Your risk = Entry price - Stop loss
- Position size = (Account Risk %) ÷ (Entry - Stop)
- Example: Risk $100 on account, Entry $50, Stop $48 = $100 ÷ $2 = 50 shares
### 4. **Trade Management**
**Scaling Out:**
- Exit 50% position at TP1 (1R) to lock profits
- Move stop to break-even on remaining position
- Let rest run to TP2 (2R) or trail with ATR stop
**Manual Override:**
- If price action deteriorates (breaks below both EMAs, RSI divergence), consider early exit
- The dynamic stop is a guide, not gospel—trust price action
## Breakout vs. Retest Strategy
### Understanding Breakout Types
**1. First Touch Breakout (Aggressive)**
- HC signal fires on first touch of fast EMA after pullback
- Higher win rate if volume is strong
- Best in strongly trending markets
- Risk: Could be a false breakout if momentum weak
**2. Retest Entry (Conservative)**
- Wait for price to pull back *again* after initial HC signal
- Enter when price retests the fast EMA a second time
- Look for: lower volume on retest, RSI still in swing zone, fast EMA still above slow EMA
- Lower risk but may miss some fast moves
### Which Breakouts to Take
**Take the FIRST breakout (signal candle) when:**
- ✅ Higher timeframe is strongly aligned (HTF confirmation on)
- ✅ Volume spike is present (>1.5x average)
- ✅ Confidence score ≥70%
- ✅ Trend is fresh (EMAs recently crossed, not extended)
- ✅ Price closed strongly above/below fast EMA (not barely crossed)
- ✅ No major resistance/support nearby
**Wait for a RETEST when:**
- ⚠️ No volume confirmation on first signal
- ⚠️ Confidence score 40-69% (moderate)
- ⚠️ Price barely crossed the fast EMA (weak momentum)
- ⚠️ Trend is extended (price far from slow EMA)
- ⚠️ Major resistance/support level just ahead
- ⚠️ Late in the trading day/week (could see pullback)
### How to Trade Retests
**Setup:**
1. HC signal fires but you decide to wait
2. Price pulls back toward fast EMA over next 1-3 candles
3. Watch for second bounce at the fast EMA
**Confirmation for Retest Entry:**
- Price holds above fast EMA (for longs) without closing below it
- Volume decreases on the pullback (profit-taking, not reversal)
- RSI stays above 50 for longs (or below 50 for shorts)
- Bullish candlestick pattern forms (hammer, engulfing, etc.)
- Slow EMA is still providing support/resistance
**Retest Entry Trigger:**
- Enter when price crosses back in signal direction with momentum
- Or enter with a limit order at the fast EMA
- Use same stop loss as original signal (swing low/high)
- Targets remain the same (measured from your new entry)
## Dashboard Reference
The top confluence table shows real-time status:
- **Trend**: Current trend direction based on EMAs
- **HTF**: Higher timeframe alignment (if enabled)
- **RSI Zone**: Whether RSI is in the 40-60 swing zone
- **Volume**: Volume spike present or not
- **Signal**: Current signal status (HC LONG/SHORT or None)
- **R Risk**: Current profit/loss in R-multiples
- **Stop**: Current stop loss price
- **TP1/TP2**: Status of take profit levels
- **Conf %**: Overall confidence score (70%+ = high probability)
## Alert Setup
The indicator includes 8 alert types:
1. **HC LONG/SHORT ENTRY** - Main trade signals
2. **LONG/SHORT TP1 Reached** - Partial profit alerts
3. **LONG/SHORT Final TP Reached** - Full target hit
4. **LONG/SHORT Stop Hit** - Exit alerts
Set up alerts in TradingView:
- Click "Create Alert" on the indicator
- Choose the specific alert condition
- Set to "Once Per Bar Close" to avoid false alerts
- Configure notification method (app, email, webhook, etc.)
## Recommended Settings
**For Stock Swing Trading (4H-Daily):**
- Fast EMA: 20 | Slow EMA: 50
- Swing Lookback: 10
- RSI Zone: 40-60
- HTF: Daily (if trading 4H charts)
- Risk-Reward: 2R minimum
**For Crypto (faster moves):**
- Fast EMA: 12 | Slow EMA: 26
- Swing Lookback: 7
- RSI Zone: 35-65
- Volume Spike: ON
- Risk-Reward: 1.5-2R
**For Conservative Trading:**
- Enable HTF Confirmation
- Enable Volume Spike requirement
- Use Break-even stop (move after 1R)
- Only trade when Confidence ≥70%
- Wait for retests on marginal setups
## Risk Warning
This indicator is a tool, not a guarantee. Always:
- Use proper position sizing (risk 1-2% per trade)
- Respect the stop losses
- Consider market context (news, earnings, major levels)
- Backtest on your instruments before live trading
- Never override risk management for FOMO
The best signals combine technical confluence with good market conditions and disciplined execution.
MA 8-13-21-55-89-144-233MA 8-13-21-55-89-144-233 — Multi-Layer Trend & Momentum Framework
This indicator is designed for traders who want to read market structure, trend direction, and momentum at a glance using a clean and professional multi-moving average setup.
Why These Periods?
The periods 8, 13, 21, 55, 89, 144, 233 are:
Fibonacci-based
Commonly used by professional and institutional traders
Highly effective for separating momentum, pullbacks, and macro trend
This structure allows you to track short-term speed, medium-term trend, and long-term market bias on a single chart.
How to Use
Trend Direction
Price above MA 55 / 89 / 144 / 233 → bullish market structure
Price below them → bearish market structure
Momentum & Entries
MA 8 – 13 – 21
Short-term momentum and aggressive entry zones
MA 21 – 55
Healthy pullback and continuation areas within a trend
Trend Strength
Well-aligned and expanding MAs → strong trend
Compressed MAs → ranging or indecisive market
Who Is This For?
Intraday traders
Swing traders
Price Action + MA traders
Traders who prefer structure over clutter
Important Note
This indicator does not generate buy/sell signals by itself.
Best results are achieved when combined with:
Candlestick patterns
Support & resistance
Pure price action
Clean chart. Clear structure. Multi-timeframe awareness.
Know where the trend is, where momentum shifts, and when the market is compressing — all in one view.
Last 30 days 9-12 avg range NYaverage range for NY time 9-12 in last 30 days. 9-12 will be highlighted and turn red on the 5m chart when price reaches a range bigger than the average in the last 30 days for that time.
Archetype Zones, Defense Confirmation OverlayArchetype Zones + Defense Confirmation Overlay (MST) v1.0
This indicator is a time-structure execution overlay built for fast intraday futures trading. It highlights a curated set of high-ROI market timing windows (MST / America/Denver) and applies lightweight “not-too-strict” logic to classify each window as a likely:
Driver (initiative / directional push)
Continuation (follow-through of the parent move)
Trap (liquidity sweep + stall / possible flip)
Rotation (VWAP churn + contraction / stand down conditions)
On top of the time zones, it includes a Defense Confirmation Overlay designed for 1–5 second execution, helping identify moments when price shows “defense behavior” aligned with the expected directional bias of the active zone.
What It Does
1) Time-Based Archetype Zones (MST)
The script shades key intraday windows with a configurable soft buffer (+/- minutes) so the user can anticipate action before/after the exact minute.
Each zone can output an expected directional lean using:
Displacement vs. window span
VWAP location
VWAP crossing count (chop filter)
Basic structure checks for continuation
Sweep/stall logic for trap detection
Churn + contraction logic for rotation regimes
2) Expected Direction Engine
When a zone is active, the indicator calculates the “expected direction” for that specific zone using the archetype logic.
This expected direction is used as the baseline for the Defense module, so defense markers are context-aware.
3) Defense Confirmation Overlay (Execution Layer)
Defense is intended to represent institutional-style protection or rejection inside an active zone.
It looks for:
Strong wick dominance (wick as a percentage of total candle span)
Close location in the top/bottom portion of the candle
Optional absorption highlight: volume spike plus compressed candle span (high volume, low range)
When conditions align with the zone’s expected direction, the script can show:
Defense wick markers (below-bar for buy defense, above-bar for sell defense)
Absorption highlight on bars showing absorption behavior
4) Micro Defense Box
When a defense event triggers, the script can draw a small “defense box” at the defended level with tick-padding.
The box extends right until invalidated (price closes through the box boundary).
This provides a clean visual reference for:
Defended price location
Invalidation threshold
Follow-through behavior after defense
5) Entry Permission Label
When Defense + Absorption occur together during an active zone, the script can print an “Entry Permission” label to highlight that multiple confirmations aligned.
Inputs and Customization
Zone buffer (+/- minutes)
Zone shading opacity
Toggle zone labels, defense markers, absorption highlighting, defense box, permission label
Adjustable “not too strict” archetype thresholds (designed for practical use, not curve-fitting)
Adjustable defense wick/close thresholds and absorption parameters
Notes and Disclaimer
This indicator does not predict the market with certainty.
It is designed to provide time-structure context plus execution confirmation, not standalone buy/sell signals.
It is best used alongside trend/bias tools (VWAP, structure, higher-timeframe levels, key session highs/lows).
Always test settings on your market and timeframe before live use.
Volatility Squeeze Pro [JOAT]
Volatility Squeeze Pro — Advanced Volatility Compression Analysis System
This indicator addresses a specific analytical challenge in volatility analysis: how to identify periods when different volatility measurements show compression relationships that may indicate potential energy buildup in the market. It combines two distinct volatility calculation methods—standard deviation-based bands and ATR-based channels—with a momentum oscillator to provide comprehensive volatility state analysis.
Why This Combination Provides Unique Analytical Value
Traditional volatility indicators typically focus on single measurements, but markets exhibit different types of volatility that require different analytical approaches:
1. **Closing Price Volatility** (Standard Deviation): Measures how much closing prices deviate from their average
2. **Trading Range Volatility** (ATR): Measures the actual high-to-low trading ranges
3. **Directional Momentum**: Measures where price sits within its recent range
The problem with using these individually:
- Standard deviation alone doesn't account for intraday volatility
- ATR alone doesn't consider closing price clustering
- Momentum alone doesn't provide volatility context
- No single measurement captures the complete volatility picture
This indicator's originality lies in creating a comprehensive volatility analysis system that:
**Identifies Volatility Compression**: When closing price volatility contracts inside trading range volatility, it suggests potential energy buildup
**Provides Momentum Context**: Shows directional bias during compression periods
**Offers Multi-Dimensional Analysis**: Combines three different analytical approaches into one coherent system
**Delivers Real-Time Assessment**: Continuously monitors the relationship between different volatility types
Technical Innovation and Originality
While individual components (Bollinger Bands, Keltner Channels, Linear Regression) are standard, the innovation lies in:
1. **Volatility Relationship Detection**: The mathematical comparison between standard deviation bands and ATR channels creates a unique compression identification system
2. **Integrated Momentum Analysis**: Linear regression-based momentum calculation provides directional context specifically during volatility compression periods
3. **Multi-State Visualization**: The indicator provides clear visual encoding of different volatility states (compressed vs. normal) with momentum direction
4. **Adaptive Threshold System**: The squeeze detection automatically adapts to different instruments and timeframes without manual calibration
How the Components Work Together Analytically
The three components create a comprehensive volatility analysis framework:
**Standard Deviation Component**: Measures closing price dispersion around the mean
float bbBasis = ta.sma(close, bbLength)
float bbDev = bbMult * ta.stdev(close, bbLength)
float bbUpper = bbBasis + bbDev
float bbLower = bbBasis - bbDev
**ATR Channel Component**: Measures actual trading range volatility
float kcBasis = ta.ema(close, kcLength)
float kcRange = ta.atr(atrLength)
float kcUpper = kcBasis + kcRange * kcMult
float kcLower = kcBasis - kcRange * kcMult
**Squeeze Detection Logic**: Identifies when closing price volatility compresses within trading range volatility
bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper
// This condition indicates closing prices are clustering more tightly
// than the typical trading range would suggest
**Momentum Context Component**: Provides directional bias during compression
float highestHigh = ta.highest(high, momLength)
float lowestLow = ta.lowest(low, momLength)
float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0)
float momSmooth = ta.sma(momentum, smoothLength)
The analytical relationship creates a system where:
- Squeeze detection identifies WHEN volatility compression occurs
- Momentum analysis shows WHERE price is positioned during compression
- Combined analysis provides both timing and directional context
How the Volatility Comparison Works
The indicator compares two volatility measurements:
Standard Deviation Bands
These measure how much closing prices deviate from their average. When prices cluster tightly around the average, the bands contract.
// Standard deviation bands calculation
float bbBasis = ta.sma(close, bbLength)
float bbDev = bbMult * ta.stdev(close, bbLength)
float bbUpper = bbBasis + bbDev
float bbLower = bbBasis - bbDev
ATR-Based Channels
These measure volatility using Average True Range—the typical distance between high and low prices. They respond to the actual trading range rather than closing price dispersion.
// ATR-based channels calculation
float kcBasis = ta.ema(close, kcLength)
float kcRange = ta.atr(atrLength)
float kcUpper = kcBasis + kcRange * kcMult
float kcLower = kcBasis - kcRange * kcMult
The Squeeze Condition
A "squeeze" is detected when the standard deviation bands are completely contained within the ATR channels:
// Squeeze detection
bool squeezeOn = bbLower > kcLower and bbUpper < kcUpper
This condition indicates that closing price volatility has compressed relative to the overall trading range.
The Momentum Component
The momentum oscillator measures where price sits relative to its recent high-low range, using linear regression for smoothing:
// Momentum calculation
float highestHigh = ta.highest(high, momLength)
float lowestLow = ta.lowest(low, momLength)
float momentum = ta.linreg(close - math.avg(highestHigh, lowestLow), momLength, 0)
float momSmooth = ta.sma(momentum, smoothLength)
Positive values indicate price is above the midpoint of its recent range; negative values indicate below.
Why Display Both Together
The squeeze detection shows WHEN volatility is compressed. The momentum reading shows the current directional bias of price within that compression. Together, they provide two pieces of information:
1. Is volatility currently compressed? (squeeze status)
2. Where is price leaning within the current range? (momentum)
These are observations about current conditions, not predictions about future movement.
Visual Elements
Momentum Histogram — Bars showing momentum value
- Green shades: Positive momentum (price above range midpoint)
- Red shades: Negative momentum (price below range midpoint)
- Brighter colors: Momentum increasing
- Faded colors: Momentum decreasing
Squeeze Dots — Circles on the zero line
- Red: Squeeze condition active
- Green: No squeeze condition
Release Markers — Triangle markers when squeeze condition ends
Dashboard — Current readings and status
Color Scheme
Squeeze Active — #FF5252 (red)
No Squeeze — #4CAF50 (green)
Momentum Positive — #00E676 / #81C784 (green shades)
Momentum Negative — #FF5252 / #E57373 (red shades)
Inputs
Standard Deviation Bands:
Length (default: 20)
Multiplier (default: 2.0)
ATR Channels:
Length (default: 20)
Multiplier (default: 1.5)
ATR Period (default: 10)
Momentum:
Length (default: 12)
Smoothing (default: 3)
How to Read the Display
Red dots indicate the squeeze condition is present
Green dots indicate normal volatility relationship
Histogram direction shows current momentum bias
Histogram color brightness shows whether momentum is increasing or decreasing
Alerts
Squeeze condition started
Squeeze condition ended
Squeeze ended with positive momentum
Squeeze ended with negative momentum
Extended squeeze (8+ bars)
Important Limitations and Realistic Expectations
Volatility compression detection is a mathematical relationship between calculations—it does not predict future price movements
Many compression periods do not result in significant price expansion or directional moves
Momentum direction during compression does not reliably indicate future breakout direction
This indicator analyzes current and historical volatility conditions only—it cannot predict future volatility
False signals are common—not every squeeze leads to tradeable price movement
Different parameter settings will produce different compression detection sensitivity
Market conditions, news events, and fundamental factors often override technical volatility patterns
No volatility indicator can predict the timing, direction, or magnitude of future price movements
This tool should be used as one component of comprehensive market analysis
Appropriate Use Cases
This indicator is designed for:
- Volatility state analysis and monitoring
- Educational study of volatility relationships
- Multi-dimensional volatility assessment
- Supplementary analysis alongside other technical tools
- Understanding market compression/expansion cycles
This indicator is NOT designed for:
- Standalone trading signal generation
- Guaranteed breakout prediction
- Automated trading system triggers
- Market timing precision
- Replacement of fundamental analysis
Understanding Volatility Analysis Limitations
Volatility analysis, while useful for understanding market conditions, has inherent limitations:
- Past volatility patterns do not guarantee future patterns
- Compression periods can extend much longer than expected
- Expansion periods may be brief and insufficient for trading
- External factors (news, fundamentals) often override technical patterns
- Different markets and timeframes exhibit different volatility characteristics
— Made with passion by officialjackofalltrades
BAVC (Clone) Rolling Curves, Peak MarkersBAVC (Clone) — Rolling Curves + Peak Markers
BAVC (Clone) is a volume-based momentum and participation indicator designed to visualize aggressive buying vs aggressive selling pressure using rolling volume curves and structural peak detection.
This script is a functional clone of a Bid/Ask Volume Curve concept, implemented using approximated volume splitting (uptick/downtick or close vs open) so it works on standard TradingView data without requiring true bid/ask feeds.
What the Indicator Shows
1. Rolling Buy & Sell Volume Curves
Volume is split into Buy (aggressive buyers) and Sell (aggressive sellers) using a selectable approximation method.
Each side is accumulated over a configurable lookback window.
Optional EMA smoothing is applied to reduce noise and highlight participation trends.
Interpretation:
Rising Buy Curve → increasing buyer dominance
Rising Sell Curve → increasing seller dominance
Expanding separation → stronger directional conviction
Convergence / flattening → balance, absorption, or transition
2. Adaptive Color Intensity (Optional)
Curve opacity can remain fixed or
Automatically adapt based on relative dominance strength
Stronger imbalances visually stand out without adding extra indicators
3. Structural Peak & Trough Detection
The script identifies significant local extremes in both curves:
Buy-side peaks & troughs
Sell-side peaks & troughs
Each peak is filtered using:
Swing width (bars left/right)
Relative strength vs recent maximum
Minimum depth for troughs
Markers can be displayed as:
Circles directly on the curves, or
Minimal labels (▲ / ▼)
Interpretation:
Buy-side highs → possible exhaustion or distribution
Buy-side lows → loss of initiative / absorption
Sell-side highs → aggressive selling climax
Sell-side lows → selling pressure weakening
4. Alerts
Optional alerts fire when:
A significant Buy-side peak forms
A significant Buy-side trough forms
A significant Sell-side peak forms
A significant Sell-side trough forms
These are intended as contextual signals, not standalone trade triggers.
5. Status Line Helper
An optional real-time status label displays:
Lookback settings
Current rolling Buy and Sell volume sums
This is useful for quick confirmation without opening the settings panel.
Important Notes
This indicator uses volume behavior, not price.
It is best used as a confirmation tool alongside:
Structure
Time-based context
VWAP / trend filters
It does not generate buy or sell signals by itself.
Best Use Cases
Spotting institutional participation
Confirming trend strength or exhaustion
Identifying absorption before reversals
Filtering low-quality entries during choppy periods
ProphetQuant LevelsProphetQuant Levels
ProphetQuant Levels is an open-source chart tool that helps you display your own price levels in a clean, organized way.
You enter levels directly into the script using simple level names and prices (for example: HV 415.00, B+ 432.10, B- 421.00, VAH/VAL, VIX R1/R2/S1/S2). The script reads your input and plots each level as a horizontal line with optional right-side labels and styling controls. Levels are plotted from the Globex session start by default, so they align consistently across sessions.
You can enter a single set of levels, or include multiple lines labeled by symbol. When multiple lines are present, the script automatically uses the line that matches the current chart symbol.
The indicator also includes an Initial Balance (IB) display with automatic session selection based on the instrument, along with optional labels and a midline.
This script is intended as a visual reference tool only. It does not calculate price levels, generate trade signals, or automate trading decisions.
Provided for educational and informational purposes only. This is not financial or trading advice.
Camarilla + CPR + PDH/PDL (Visual Optimized)Camarilla + CPR + PDH/PDL (Visual Optimized)
This indicator is visually optimized and used same open-source camarilla pivot formulae.
// Camarilla
H3 = pc + rng * 1.1 / 4
H4 = pc + rng * 1.1 / 2
H5 = H4 + (H4 - H3)
H6 = H5 + (H5 - H4)
L3 = pc - rng * 1.1 / 4
L4 = pc - rng * 1.1 / 2
L5 = L4 - (L3 - L4)
L6 = L5 - (L4 - L5)
// CPR
pivot = (ph + pl + pc) / 3
bc = (ph + pl) / 2
tc = pivot * 2 - bc
Market Daily This is a high-accuracy intraday trading indicator designed for indices and stocks, built on trend + institutional levels + volatility control.
The script is non-repainting, rule-based, and suitable for live trading and paid subscriptions.
NW Curved Interest ZonesThis indicator automatically scans and plots curved (non-linear) interest zones using Nadaraya-Watson kernel regression smoothing to create a dynamic, adaptive "mean" curve. It then identifies and draws the strongest parallel curved zones where price has repeatedly bounced with statistical validation – perfect for non-linear, organic trending or ranging markets.
How It Works (Technical Methodology)
Curved Mean Calculation
The core curve is generated via Nadaraya-Watson kernel regression (Gaussian weighting):
Smooths closing prices over the lookback period with user-adjustable bandwidth (default 30.0) – higher = smoother/less reactive, lower = tighter fit.
Range methods: "Lookback Bars" (default 400), "Fixed Start Date", or "Entire History".
Channel Envelope Detection
Measures maximum deviations above/below the smoothed curve across the period.
Defines full channel height and base offset for percentage-based zoning.
Stable Update & Anti-Repaint Logic
Full recalculation only after user-defined closed bars (default 50) OR on forced break (if price escapes visible zone envelope).
All data (curve points, slope for projection, levels, scores) snapshotted and frozen until next confirmed update.
Prevents flickering/live-bar repainting while allowing adaptive refresh.
Auto Mode Scanning
When enabled:
Scans channel height in % steps (default 1.0%).
Each candidate creates a thin curved zone parallel to the NW curve (thickness % of price, default 0.01%).
Counts valid "hits": Price touches zone and holds without break for user-defined bars (default 20).
Break source: "Close" (conservative) or "Wick" (sensitive).
Direction inferred from close relative to zone center.
Level Selection
Ranks by hit count, filters close clusters (min distance %), limits to max zones (default 8).
Manual mode: Directly applies user percentages (e.g., 0/50/100 for bottom/median/top).
Curved Zone Construction
Zones drawn as smooth, filled polylines (curved=true) following the kernel regression shape.
Historical section uses exact smoothed points; future projection uses last slope for realistic extension.
Optional long future extension or limited projection.
Dynamic coloring: Supply (above price), Demand (below price).
Dashboard
Table displays current price at each zone (stable during bar), % level, hit count (green when strong).
Update status with countdown or "TRIGGERED!" on force break.
How to Use
Ideal for markets with natural curvature (parabolic moves, rounded bottoms/tops, organic trends).
High hit counts: Proven curved support/resistance – expect strong reactions.
Bandwidth: Higher (50+) for major structural curves; lower (10–20) for shorter-term adaptive zones.
Hold Bars: Increase for stricter validation in noisy assets.
Force Break Update: Keeps zones relevant during strong trends/breakouts.
Supply Zones (Curved above price): Dynamic overhead resistance.
Demand Zones (Curved below price): Dynamic underlying support.
Confluence: Excellent with volume, order blocks, or divergence for entries/exits.
Manual Mode: Quickly overlay classic % (e.g., channel parallels).
Smooth, non-repainting curved zones provide superior visual alignment to real price action compared to linear channels.
Disclaimer
This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.






















