Long Position Region with Target & StopLong position region manually specified on QMCO. This is a test of a potential new indicator I am building
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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.
Gap Level Plotter (4H)# Gap Level Plotter (4H) - User Guide
## Overview
This indicator automatically detects and plots 4-hour gap zones on any chart timeframe. Gaps are price discontinuities where one 4H candle's low is above the previous 4H candle's high (gap up) or where one 4H candle's high is below the previous 4H candle's low (gap down). These levels often act as key support/resistance zones.
## Key Features
- **Works on any timeframe**: View 4-hour gaps on 1-minute, 5-minute, 15-minute, daily charts, etc.
- **Visual gap zones**: Displays translucent purple zones (customizable) that extend into the future
- **Configurable lookback**: Choose how many days of history to scan (30, 45, 60, or 90 days)
- **Gap filtering**: Filter out noise by setting minimum gap sizes in points or percentage
- **Clean and simple**: Gaps remain plotted even after being filled, providing historical context
## Settings
### Lookback Days (Default: 45)
Controls how far back in time to search for gaps.
- **Options**: 30, 45, 60, 90 days
- **Use case**: Increase for long-term analysis, decrease for short-term trading
### Zone Color (Default: Purple)
Customize the color of gap zones to match your chart theme or personal preference.
### Filter Method (Default: Points)
Choose how to filter out small/insignificant gaps:
- **None**: Show all gaps regardless of size
- **Points**: Filter by absolute price points (recommended for futures like NQ/ES)
- **Percentage**: Filter by percentage of price (recommended for stocks)
### Minimum Gap Size (Default: 5.0)
The threshold for filtering gaps based on your selected filter method.
**Recommended settings:**
- **NQ futures**: 5-10 points
- **ES futures**: 2-5 points
- **Stocks (percentage)**: 0.25-0.5%
Adjust based on the instrument's volatility and your trading style.
## Best Practices
1. **For futures (NQ/ES)**: Use "Points" filter with 5-10 point minimum
2. **For stocks**: Use "Percentage" filter with 0.25-0.5% minimum
3. **Clean charts**: If too many gaps clutter your view, increase the minimum gap size or reduce lookback days
4. **Multiple timeframes**: The same gaps appear on all chart timeframes - use this to identify key levels across your analysis
## How to Use
1. Add the indicator to your chart
2. Adjust settings based on your instrument and preferences
3. Gap zones automatically update as new 4H candles form
4. Use zones as potential support/resistance levels for entries, exits, or targets
## Notes
- Gaps are plotted when detected and remain visible even after being filled
- The indicator focuses on 4-hour timeframe gaps specifically, as these tend to be significant levels for intraday and swing trading
- Purple zones extend infinitely to the right to show where price might return to fill or test the gap
---
**Enjoy trading with cleaner gap visualization! 📊**
Market Acceptance Envelope [Interakktive]The Market Acceptance Envelope (MAE) is a diagnostic tool that shows where price statistically belongs — not where it might go. Unlike traditional bands that expand with volatility, MAE expands with acceptance: regions where price rotates comfortably, efficiency drops, and the market agrees on fair value.
This is the anti-Bollinger thesis: bands should represent where price IS accepted, not where it MIGHT reach based on standard deviation.
█ USAGE
The filled corridor represents the current acceptance zone — where price has demonstrated rotational behavior with low directional efficiency. When price is inside the corridor, it's "home." When outside, it's exploring territory the market hasn't yet accepted.
For discretionary traders, MAE provides instant context: "Is price where it belongs, or is it extended?"
For systematic traders, the exported values (confidence, asymmetry, position) can inform position sizing and filter logic.
█ ACCEPTANCE CENTROID
Unlike traditional bands centered on a moving average, MAE uses an Acceptance Centroid — a time-weighted price level where acceptance behavior concentrates. The centroid is calculated by weighting price by:
• Inverse efficiency (low efficiency = high acceptance)
• Volatility stability (stable vol = higher weight)
• Dwell factor (time spent near level)
This means the centroid drifts toward where price actually rotates, not simply where it averages.
█ ASYMMETRIC BOUNDARIES
MAE calculates upper and lower boundaries independently. Markets rarely treat up and down equally — during uptrends, the upper boundary may be wider (more accepted upside exploration), while the lower boundary stays tight (quick rejection of dips).
This asymmetry is visible on the chart and exported as a metric (-1 to +1).
█ CONFIDENCE-BASED VISIBILITY
The corridor's opacity reflects acceptance confidence:
• High confidence → clearly visible corridor (price is in accepted rotation)
• Low confidence → faded corridor (trending/directional market, acceptance not established)
When the corridor fades, it's telling you: "Acceptance hasn't been earned here yet."
█ WHAT THIS INDICATOR IS
• A diagnostic acceptance envelope showing where price statistically belongs
• Asymmetric by design — upper and lower calculated independently
• Confidence-weighted visibility — fades when acceptance is not earned
• Non-repainting — uses closed-bar data only
█ WHAT THIS INDICATOR IS NOT
• NOT Bollinger Bands (no standard deviation around a mean)
• NOT Keltner Channels (no ATR-scaled envelope)
• NOT a signal generator — no touches = signals philosophy
• NO arrows, NO entries/exits, NO buy/sell recommendations
█ HOW IT WORKS
MAE uses an acceptance-weighted calculation approach:
1. ACCEPTANCE WEIGHT
Each bar receives a weight based on:
• Efficiency: (1 - efficiency) — low efficiency = rotational = high acceptance
• Volatility Stability: stable vol environment = higher weight
• Dwell Factor: price staying near central tendency = higher weight
2. ACCEPTANCE CENTROID
Weighted average of price using acceptance weights:
centroid = Σ(price × weight) / Σ(weight)
Smoothed adaptively — faster during drift, slower when stable.
3. ASYMMETRIC BOUNDARIES
Upper and lower distances calculated separately:
• rngUp = acceptance-weighted average of (price - centroid) when price > centroid
• rngDn = acceptance-weighted average of (centroid - price) when price < centroid
4. CONFIDENCE SCORE
Composite of average acceptance weight, volatility stability, and centroid stability.
Maps to corridor opacity: high confidence = visible, low confidence = faded.
█ SETTINGS
Market Acceptance Envelope — Core
• Acceptance Lookback (20): Bars to evaluate for acceptance conditions. Higher = smoother, slower response.
• Preset (Swing): Scalper = tight/fast, Swing = balanced, Position = wide/stable.
• Envelope Sensitivity (1.0): Width multiplier. Higher = wider corridor.
Market Acceptance Envelope — Visuals
• Show Corridor (true): Display the acceptance corridor.
• Show Centroid (false): Display the acceptance centroid line.
Market Acceptance Envelope — Data Window
• Show Data Window Values (false): Export MAE metrics for external use.
█ EXPORTED VALUES
When Data Window is enabled:
• mae_upper: Upper boundary value
• mae_lower: Lower boundary value
• mae_centroid: Acceptance centroid value
• mae_width: Corridor width (upper - lower)
• mae_asymmetry: Asymmetry ratio (-1 to +1, negative = lower wider)
• mae_confidence: Acceptance confidence (0-100)
• mae_position: Price position (-1 = below, 0 = inside, +1 = above)
█ SUITABLE MARKETS
Works on all markets: Stocks, Futures, Forex, Crypto, Indices.
Works on all timeframes. Higher timeframes show more stable acceptance zones.
█ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis and use proper risk management. This is a diagnostic tool — it provides context, not signals.
SHFE vs COMEX Silver Spread (USD/ozt)the script shows the gap between shanghai and comex silver prices. they need me to say more words in the description for this in order for me to in order to publish with words. more words.
Santhosh 3EMA Strict Sequential SignalsSanthosh 3EMA Strict Sequential Signals. Created with strict conditions to avoid wrong signals
zenba kit basic
interaction between 9 moving average and 108 moving average.
gradient filled zones.
200 moving average with color change.
vwap & standard deviations +/- 1.01
retrowave auroral style coloring
CAPEX//@version=6
indicator("美光 CapEx 噴發追蹤器", overlay=true)
// --- 輸入設定 ---
threshold = input.float(20.0, title="CapEx 噴發閾值 (%)", minval=1.0)
lookback = input.int(4, title="對比前幾季", minval=1)
// --- 取得財務數據 (資本支出 - 季度) ---
// 使用 request.financial 抓取美光的資本支出 (Capital Expenditures)
capex = request.financial("NASDAQ:MU", "CAPITAL_EXPENDITURES", "FQ")
// --- 計算變動率 ---
// 因為財務數據在圖表上是階梯狀的,我們取當前有效值
current_capex = nz(capex)
prev_capex = nz(capex )
// 計算增長率 (注意:capex 在財報是負數,所以我們取絕對值來計算)
capex_growth = (math.abs(current_capex) - math.abs(prev_capex)) / math.abs(prev_capex) * 100
// --- 判斷噴發條件 ---
is_surge = capex_growth >= threshold
// --- 繪製視覺效果 ---
// 當 CapEx 噴發時,背景顯示紅色 (代表擴產警訊)
bgcolor(is_surge ? color.new(color.red, 85) : na, title="CapEx 噴發區間")
// 在圖表下方標註文字
plotshape(is_surge, style=shape.labelup, location=location.bottom, color=color.red, text="CapEx 激增", textcolor=color.white, size=size.small)
// --- 儀表板 (選用) ---
var table tb = table.new(position.top_right, 2, 2, bgcolor=color.new(color.black, 70), border_width=1)
if barstate.islast
table.cell(tb, 0, 0, "本季 CapEx:", text_color=color.white)
table.cell(tb, 1, 0, str.tostring(current_capex / 1e9, "#.##") + " B", text_color=color.red)
table.cell(tb, 0, 1, "較上季增長:", text_color=color.white)
table.cell(tb, 1, 1, str.tostring(capex_growth, "#.##") + "%", text_color=is_surge ? color.red : color.green)
Dual-Timeframe ABR DashboardDual-Timeframe ABR Dashboard 是一款专为日内交易者设计的波动率参考工具,用于同时评估当前周期与日线级别的平均K线波幅(ABR)。
该指标基于 Average Bar Range(高低差的简单平均),帮助交易者快速判断:
单根K线的“正常”波动范围
当前价格相对于 ABR 的百分比位置
当日是否已接近日线级别的常规波动极限
指标不会在图表上绘制干扰性线条,而是通过状态栏与固定表格实时展示最新 ABR 数值,适合用于:
目标利润(TP)与止盈管理
趋势是否具备延续空间的判断
避免在“已走完波幅”的位置追价入场
这是一个为实盘决策服务,而非视觉美观的专业级日内交易辅助指标。
======================================================================
Dual-Timeframe ABR Dashboard is a volatility reference tool designed specifically for day traders, providing a clear view of Average Bar Range (ABR) on both the current timeframe and the daily timeframe.
By measuring the simple average of each bar’s high–low range, this indicator helps traders quickly assess:
What constitutes a “normal” bar movement on the active timeframe
Current price movement expressed as a percentage of ABR
Whether the session has already consumed most of its typical daily range
Instead of plotting lines on the chart, the indicator presents real-time ABR values via the status line and a fixed dashboard table, keeping the chart clean and execution-focused.
This tool is particularly useful for:
Profit target and trade management
Evaluating remaining trend potential during the session
Avoiding late entries after the daily range is largely exhausted
Built for practical intraday decision-making, not visual clutter.
Gamma Levels - Options Flow# 📊 Gamma Levels - Options Flow Indicator
## TradingView Free Indicator - By AsiaQuant
---
## 🎯 What Is This?
**Gamma Levels** is a simplified TradingView indicator that shows estimated support and resistance levels based on institutional options positioning. It helps traders identify key price zones where options market makers are likely positioned.
### Key Features:
- **⚡ Gamma Flip Level**: The inflection point where dealer hedging behavior changes
- **🔴 Call Wall**: Overhead resistance from call option concentration
- **🟢 Put Support**: Downside support from put option concentration
- **🎯 Trading Zone**: The range between support and resistance
- **📊 Regime Detection**: Positive vs Negative Gamma environments
---
## 📈 How To Use
### 1. **Gamma Flip Level (⚡)**
The Gamma Flip is the most critical level. It represents where market maker hedging flips from stabilizing to destabilizing:
- **Above Gamma Flip**: Positive gamma environment → Lower volatility, mean reversion
- **Below Gamma Flip**: Negative gamma environment → Higher volatility, trend continuation
**Trading Strategy:**
- When price is **above** gamma flip: Fade extremes, trade ranges
- When price is **below** gamma flip: Follow momentum, breakouts more likely
### 2. **Call Wall (🔴)**
The Call Wall represents overhead resistance where heavy call open interest sits:
- Acts as a **magnet** when price approaches from below
- Acts as **resistance** when price tests it
- Breaking above often leads to squeeze moves
**Trading Strategy:**
- Use as profit target for long positions
- Watch for rejection and reversal setups
- Breaking through = potential gamma squeeze
### 3. **Put Support (🟢)**
The Put Support level shows where heavy put positioning provides downside support:
- Acts as **support** on pullbacks
- Breaking below signals bearish momentum
- Often bounces near this level
**Trading Strategy:**
- Use as entry zone for long positions
- Stop loss just below this level
- Breaking through = potential flush lower
### 4. **Trading Zone (Blue Shaded Area)**
The zone between Call Wall and Put Support shows the expected trading range:
- **Narrow zones** = Low volatility, potential breakout setup
- **Wide zones** = High volatility, choppy action expected
- Price tends to stay within this zone
---
## 🚦 Regime Guide
### Positive Gamma Regime (Green Background)
- Price above Gamma Flip
- Lower volatility expected
- Mean reversion strategies work better
- Selling premium strategies favorable
### Negative Gamma Regime (Red Background)
- Price below Gamma Flip
- Higher volatility expected
- Trend following strategies work better
- Directional trades more profitable
---
## ⚠️ Important Limitations
This is a **SIMPLIFIED** indicator that uses price action and volume as proxies for options positioning. It does NOT use real options chain data.
### What This Indicator Does:
✅ Estimates levels using VWAP and ATR
✅ Shows general zones of interest
✅ Provides educational framework
✅ Works on any timeframe
### What This Indicator CANNOT Do:
❌ Access real options open interest
❌ Calculate actual gamma exposure
❌ Account for 0DTE dynamics
❌ Include Vanna/Charm effects
❌ Use volatility surface interpolation
---
## 🔓 Want The Full Professional Version?
### **GEX Pro - Institutional Grade Analysis**
**Visit: (gexpro.asiaquant.com)**
#### What You Get:
- ✅ **Real Options Data**: Live OI and volume from actual options chains
- ✅ **20+ Metrics**: GEX, DEX, Vanna, Charm, Volga, IV Skew, and more
- ✅ **0DTE Logic**: Proprietary algorithm for same-day expiration positioning
- ✅ **Volatility Surface**: Cubic spline interpolation eliminates "ghost walls"
- ✅ **Shadow Gamma**: Advanced second-order risk exposure
- ✅ **Multi-Expiration**: Analyze 0DTE, weekly, and monthly expirations simultaneously
- ✅ **Directional Scoring**: AI-powered conviction scoring with 5 components
- ✅ **Trade Ideas**: Specific setups based on positioning
- ✅ **440+ Tickers**: SPY, QQQ, IWM, AAPL, TSLA, NVDA, and more
#### The Difference:
| Feature | TradingView Free | GEX Pro |
|---------|------------------|---------|
| Data Source | Price/Volume Proxy | Real Options Chains |
| Gamma Calculation | Estimated | Actual Black-Scholes |
| Advanced Greeks | ❌ | ✅ Vanna, Charm, Volga |
| 0DTE Handling | ❌ | ✅ Volume Priority |
| Vol Surface | ❌ | ✅ Cubic Spline |
| Conviction Score | ❌ | ✅ 5-Component Model |
| Trade Setups | ❌ | ✅ Directional Ideas |
---
## 📚 Educational Resources
### Recommended Reading:
1. **"Gamma Exposure and Market Dynamics"** - Understanding dealer hedging
2. **"Volatility Trading"** by Euan Sinclair - Options Greeks in practice
3. **"The Volatility Surface"** by Jim Gatheral - Advanced vol modeling
### Key Concepts:
- **Gamma Exposure (GEX)**: The rate of change of delta with respect to price
- **Dealer Hedging**: How market makers adjust their stock positions
- **Positive Gamma**: Dealers buy dips, sell rips → stabilizing
- **Negative Gamma**: Dealers sell dips, buy rips → destabilizing
- **Vanna**: Sensitivity to spot and volatility changes
- **Charm**: Time decay of delta
---
## 🎓 Best Practices
### ✅ DO:
- Use in conjunction with price action and volume
- Combine with support/resistance levels
- Pay attention to regime changes
- Use for planning entries/exits
- Monitor gamma flip proximity
### ❌ DON'T:
- Rely solely on this indicator
- Ignore overall market conditions
- Trade against strong trends
- Over-leverage based on levels
- Treat estimates as absolute truth
---
## 📊 Example Scenarios
### Scenario 1: Approaching Call Wall
- Price rallies toward Call Wall ($595 on SPY)
- Volume increases as it approaches
- **Action**: Consider taking profits on longs, watch for rejection
### Scenario 2: Gamma Flip Cross
- Price crosses below Gamma Flip
- Regime changes to Negative Gamma
- **Action**: Reduce range trading, prepare for momentum
### Scenario 3: Bouncing Off Put Support
- Price tests Put Support ($580 on SPY)
- High volume at the test
- **Action**: Entry for longs with stop below support
---
## 🔧 Settings Guide
### Lookback Period (Default: 20)
- **Lower (10-15)**: More responsive, better for day trading
- **Higher (30-50)**: Smoother, better for swing trading
### Volatility Multiplier (Default: 1.5)
- **Lower (1.0-1.2)**: Tighter zones, more frequent tests
- **Higher (2.0-3.0)**: Wider zones, fewer tests but stronger
### Display Options
- Toggle individual levels on/off based on your strategy
- Customize colors to match your chart theme
---
## ❓ FAQ
**Q: Why don't the levels match actual options strikes?**
A: This free version uses price action approximations. For real strike-level precision, use GEX Pro.
**Q: How often should levels update?**
A: The indicator recalculates every bar. For real options data that updates throughout the day, use GEX Pro.
**Q: Can I use this for day trading?**
A: Yes, but it's approximations. For intraday 0DTE positioning, GEX Pro has specialized logic.
**Q: What timeframe works best?**
A: Works on all timeframes, but 15min-1hour is optimal for the simplified calculation.
**Q: Is this better than just support/resistance?**
A: It adds an options perspective, but should complement (not replace) standard TA.
---
## 🚀 Upgrade To GEX Pro
Ready for institutional-grade analysis?
### ** (gexpro.asiaquant.com)**
- Real options data from 440+ tickers
- 20+ advanced metrics
- AI-powered trade signals
- Professional-grade analytics
- API access available
**Stop guessing. Start knowing where the institutions are positioned.**
---
## 📧 Support & Contact
- **Website**: (gexpro.asiaquant.com)
- **Questions**: Contact form on website
- **TradingView**: Leave comments on the indicator
---
## ⚖️ Disclaimer
This indicator is for **educational purposes only**. It is not financial advice. Options and derivatives trading involves significant risk. Past performance does not guarantee future results. Always do your own research and consult with a financial advisor before making trading decisions.
The simplified calculations in this free version are approximations and may not reflect actual market conditions. For professional trading decisions, use verified data sources and professional-grade tools.
---
**Version**: 1.0
**Last Updated**: December 2024
**Created By**: AsiaQuant Research
### 🔓 **Unlock the full power: (gexpro.asiaquant.com)**






















