Levels by EVThis indicator plots a clean set of commonly used reference levels on the chart, including the prior day high and low (PDH/PDL), the current day open (DO), prior week high and low (PWH/PWL), prior month high and low (PMH/PML).
Daily, weekly, and monthly levels are sourced from their respective higher timeframes to keep the values stable and consistent across intraday charts. Session ranges are calculated using a selectable timezone and are updated in a controlled way to avoid unnecessary object creation and chart clutter. An optional setting allows developing session highs and lows to update while the session is active, or you can keep session levels fixed once the session ends.
Use these levels as context for liquidity, support/resistance, and session structure. Labels can be enabled or disabled, and can optionally be kept on the right edge so the chart remains readable on any zoom level.
Bänder und Kanäle
Options Confluence Overlay - Stocks (1D) The Options Confluence Overlay — Stocks is a daily timeframe indicator designed for equities and ETFs, with a focus on timing, structure, and risk clarity rather than frequent signals.
This tool combines price structure, volatility, and momentum timing into a single visual framework that helps traders decide when to trade, when to stand aside, and where risk and exits are clearly defined.
Unlike fast-signal indicators, this script emphasizes trade quality over trade quantity.
🔍 What the indicator does
The indicator evaluates four core components on the daily chart, with an optional weekly trend filter:
• Mean + Deviation Band (Band 1) to define structure
• ATR-based targets to project realistic price expansion
• Momentum timing using Stochastic RSI (cross or approach)
• Confluence scoring to allow or block trades
Only when these elements align does the indicator permit a CALL, PUT, or display NO-TRADE.
🟩 Preferred Entry Zone (PEZ)
When a CALL or PUT is allowed, the indicator highlights a Preferred Entry Zone (PEZ):
• CALL PEZ: Mean → Lower Band
• PUT PEZ: Mean → Upper Band
This zone represents areas where risk is better defined and entries are typically more favorable.
🎯 Primary Exit (Partial ATR)
Instead of encouraging traders to chase full volatility expansion, the indicator includes a Primary Exit level:
• A configurable percentage of ATR
• Designed to capture early, high-probability movement
• Especially useful for shorter-term trades or profit protection
Full ATR targets are still shown, but the Primary Exit is intended as the first decision point, not a promise of full extension.
🧠 Entry Quality (Informational)
When enabled, the dashboard displays an Entry Quality hint:
• PEZ Deep — price is deeper into the zone (higher potential, higher patience required)
• PEZ Shallow — price is closer to the mean (faster, but less extended setups)
This is informational only and does not block trades.
🚦 Trade states
The dashboard clearly communicates one of three states:
• CALL allowed
• PUT allowed
• NO-TRADE (conditions are mixed or incomplete)
The indicator is intentionally conservative during NO-TRADE periods.
⚠️ Important notes
• Designed for stocks and ETFs, not crypto
• Intended for daily timeframe analysis
• Not financial advice
• Always combine with proper risk management
📘 Model Trade Example (CALL)
The dashboard shows CALL allowed
Price pulls back into the green PEZ
Weekly filter confirms bullish direction
Enter near the PEZ (no chasing breakouts)
Risk: below Band 1 low
Primary Exit: at the yellow Primary Exit level
Optional: hold partial size toward full ATR target if momentum remains strong
If the dashboard changes to NO-TRADE, no new entries are taken.
📕 Model Trade Example (PUT)
The dashboard shows PUT allowed
Price rallies into the red PEZ
Weekly filter confirms bearish direction
Enter near resistance inside PEZ
Risk: above Band 1 high
Primary Exit: at the yellow Primary Exit level
Avoid holding through momentum exhaustion
Yetty Trades ORB Strat With Key Levels NQ RTHMust Have Confirmation of ORB on 5 and 15 Min chart. Follow Retracement.
Key Daily & HTF Levels
Track intraday, daily, weekly, and monthly H/L - RTH daily levels ignore pre-market
Current Day H/L (RTH Only)
Previous Day H/L (RTH Only)
2 Days Previous H/L
Pre-Market H/L (Separate)
Weekly H/L
Monthly H/L
NEW
Open Price Levels
Previous period opening prices - key mean reversion and magnet levels
Previous Day Open (PDO)
Previous Week Open (PWO)
Previous Month Open (PMO)
NY Open Line
London Open Line
Session Levels
Monitor Asian and London session highs, lows, and opens
Asian Session H/L
London Session H/L
NY Open Price
London Open Price
Customizable Times
15-Min Opening Range + Signals
Current day only OR box - resets daily + breakout signals with pullback & volume confirmation
Current Day Only
No Historical Clutter
ORB Midpoint Line
Breakout/Pullback Signals
Volume Confirmation
Adjustable Signal Size
NEW
VWAP + SD Bands
VWAP with Standard Deviation bands for institutional-grade analysis
Intraday VWAP
±1 SD Band (Green)
±2 SD Band (Orange)
±3 SD Band (Red)
Dynamic S/R
NEW
Pivot Points
Classic daily pivot points with support and resistance levels
Daily Pivot (P)
R1 & R2 Resistance
S1 & S2 Support
Based on Prior Day
NEW
Fair Value Gaps (FVG)
Smart Money / ICT concept - highlight price imbalances that tend to fill
Bullish FVGs (Green)
Bearish FVGs (Red)
Adjustable Lookback
Min Gap Size Filter
Moving Averages + Strategy
EMAs with built-in Double EMA Pullback buy/sell signal strategy
9 EMA
21 EMA
200 EMA
EMA Pullback Signals
HTF EMA Filter
NEW
200 EMA Bounce Signals
Detect when price uses 200 EMA as dynamic support or resistance
Support Bounce (Green)
Resistance Bounce (Red)
Touch Distance Filter
Confirmation Bars
NEW
Signal Filters
Filter signals by higher timeframe trend and high-volume trading hours
HTF EMA Trend Filter
Time-Based Filter
Power Hour 1 (9:30-11:30)
Power Hour 2 (2:00-4:00)
NEW
ATR-Based Stop Levels
Automatic stop loss suggestions based on ATR when signals fire
14-Period ATR
1.5x ATR Multiplier
Visual Stop Markers
Risk Management
NEW
Statistics Table
On-chart performance dashboard with customizable metrics
Win Rate Display
Total Signal Count
Buy/Sell Breakdown
Position Options
Reversal Patterns
Automatically detect bullish and bearish hammer candlestick patterns
Bullish Hammers
Bearish Hammers
Visual Labels
Fully Customizable - All New Features OFF by Default
Every level has individual controls. New features are disabled by default to keep your chart clean - enable what you need!
Toggle Any Level On/Off
Line Style Per Level
Line Width Per Level
4 Label Display Types
Custom Colors
Solid / Dashed / Dotted
VWAP Band Multipliers
FVG Size Filters
ATR Multiplier
Stats Display Options
HTF Timeframe Choice
Power Hour Times
Trading Strategy Guide
How to use this indicator for breakout trading with pullback entries
Phase 1
Identify Setup
Look for price consolidating near key levels (previous day H/L, session H/L)
Check if price is respecting EMAs (9, 21, or 200)
Note the opening range box boundaries
Watch for price approaching VWAP
Phase 2
Wait for Breakout
Wait for price to break above/below opening range
Look for breakout beyond session highs/lows
Confirm with volume and momentum
Watch for bullish/bearish hammer patterns at key levels
Phase 3
Enter on Pullback
After breakout, wait for price to pull back to EMAs
Look for price to retest the opening range boundary
Enter when price finds support/resistance at key levels
Use hammer patterns as entry confirmation signals
Grizzology-Style Clean Layout
• Daily Reset: All levels automatically reset each day - no historical clutter
• Current Day Only: Opening Range box only shows for today's session
• Clean Lines: Levels use lines instead of extending plots for cleaner charts
• Labels: CDH, CDL, PDH, PDL, PMH, PML labels for easy identification
• Pre-Market: Track pre-market high/low levels (04:00-09:30)
Trading Tips
• Risk Management: Always use stop losses below/above key levels
• Confirmation: Wait for multiple indicators to align before entering
• Time of Day: Breakouts during London/New York open tend to be more reliable
• Volume: Higher volume on breakouts increases probability of success
• False Breakouts: Opening range helps filter out early false moves
Example Trade Setup
1. Market Opens: Opening range box forms in first 15 minutes (9:30-9:45 AM)
2. Consolidation: Price trades within the OR box, respecting boundaries
3. Breakout: Price breaks above OR high with strong momentum, confirmed by volume
4. Pullback: Price pulls back to test the OR high (now support) and 21 EMA
5. Entry: Bullish hammer forms at the pullback level → Enter long
6. Target: Previous day high or session high
7. Stop Loss: Below the pullback low or below OR box
Canales Pivot H y P - EXTREMOSBollinger Extremes measures the average estimated volatility during the day, compared to the closing price.
SMA by EVEV Simple Moving Average (SMA) is a lightweight, open-source SMA indicator with configurable length, price source, and visual offset. It is designed to provide a clean moving-average reference for trend context and mean reversion workflows on any market and timeframe. The offset parameter shifts the plotted line for visualization only and does not affect the underlying calculation.
Daily Extension from 50DMA (adjustable) in ATR%Indicator to easily spot over extended prices in relation to ATR.
ATR or ADR easily referenced
Cloud Gold TrendTrend Filter (Ichimoku): If the price is above the cloud (Kumo), look only for "Long" signals. If it is below, look only for "Short" signals.
Entry Signal (Bollinger): When the price touches the Lower Band while you are above the Cloud, it could be a great buying point in an uptrend.
Volatility Confirmation: If the Bollinger Bands squeeze within the cloud, get ready for a strong directional move as soon as the price breaks one of the two levels.
LogTrend Retest EngineLogTrend Retest Engine (LTRE)
LogTrend Retest Engine (LTRE) is an advanced trend-continuation overlay designed to identify high-probability breakout retests using logarithmic regression , volatility-adjusted deviation bands , and market regime filtering .
Unlike traditional channels or moving averages, LTRE models price behavior in log space , allowing it to adapt naturally to exponential market moves common in crypto, indices, and long-term trends.
🔹 How It Works
Logarithmic Regression Core
Performs linear regression on log-transformed price and time
Produces a structurally accurate trend midline that scales with price growth
Volatility-Adjusted Deviation Bands
Dynamic upper and lower zones based on statistical deviation
ATR weighting expands or contracts bands as volatility changes
Adaptive Lookback (Optional)
Automatically adjusts regression length using volatility pressure
Faster response in high-volatility environments, smoother in consolidation
🔹 Market Regime Detection
LTRE actively filters conditions using:
R² trend strength (trend quality, not just slope)
Volatility compression vs expansion
User-defined minimum trend strength threshold
Signals are disabled during ranging or low-quality conditions .
🔹 Breakout → Retest Signal Logic
LTRE does not chase breakouts.
Signals trigger only when:
1. Price breaks cleanly outside the deviation band
2. Market regime is confirmed as trending
3. Price performs a controlled retest within a user-defined tolerance
BUY
Break above upper band → retest → trend confirmed
SELL
Break below lower band → retest → trend confirmed
This structure is designed to reduce false breakouts and late entries.
🔹 Visual & Projection Tools
Clean midline and deviation bands
Optional filled zones
Optional future trend projection for forward structure planning
On-chart statistics for trend strength and volatility compression
🔹 Best Use Cases
Trend continuation & pullback strategies
Crypto, Forex, Indices, and equities
Works best on 15m and higher timeframes
⚠️ Disclaimer
LTRE is a decision-support tool , not a complete trading system. Always use proper risk management and confirm signals with additional structure, volume, or higher-timeframe context.
Built for traders who wait for structure — not noise.
Free cash flow yield (Quarterly)Indicator: Free Cash Flow Yield (Quarterly) — Technical Description
Purpose
This indicator plots Free Cash Flow Yield (FCF Yield) using quarterly fundamentals and optionally adjusts it for dilution. It also computes trailing averages over multiple horizons (in quarters) to give a long-term valuation context.
Data Sources
All fundamentals are pulled from TradingView’s financial dataset using:
request.financial(syminfo.tickerid, , "FQ", barmerge.gaps_on)
Where:
"FQ" = Quarterly frequency
barmerge.gaps_on = keeps values as step-like series (updates only when new quarterly data is available)
Financial fields used:
FREE_CASH_FLOW (FCF)
ENTERPRISE_VALUE (EV)
TOTAL_SHARES_OUTSTANDING
DILUTED_SHARES_OUTSTANDING
Market cap is derived (not pulled directly in this version):
marketCap = totalSharesOutstanding * close
(Only used as a reference in the script; the yield itself is based on EV.)
Core Calculation
1) FCF Yield (Net)
The base yield is:
FCF Yield
(
%
)
=
FCF
Enterprise Value
×
100
FCF Yield(%)=
Enterprise Value
FCF
×100
Implementation detail:
If FCF is na or EV is na or EV == 0, the result is set to na to avoid division errors.
Dilution Adjustment (Optional Series)
2) Dilution Ratio
The script estimates dilution impact using:
dilutionRatio
=
Total Shares Outstanding
Diluted Shares Outstanding
dilutionRatio=
Diluted Shares Outstanding
Total Shares Outstanding
Notes:
If dilutedSharesOutstanding is missing or zero, the ratio becomes na.
3) Diluted FCF Yield
If the ratio indicates dilution (<= 1), yield is scaled down:
FCF Yield Diluted
=
FCF Yield
×
dilutionRatio
FCF Yield Diluted=FCF Yield×dilutionRatio
Else (ratio > 1 or na), the script defaults to the net yield:
FCF Yield Diluted
=
FCF Yield
FCF Yield Diluted=FCF Yield
Practical interpretation:
More dilution → lower ratio → lower diluted yield.
If dilution fields are not reliable for a ticker, the script falls back to the base yield.
Plotting
Two series are shown:
FCF Yield Net: plotted as columns (bars)
FCF Yield Diluted: plotted as an area overlay
This makes it easy to see:
Step changes when new quarter data arrives
Whether dilution meaningfully reduces the yield
Labels (Per-bar)
When fcfYieldDiluted > 0, the script prints the value as a percentage label at the yield level.
Important technical point:
Since fcfYieldDiluted is computed as a number like 8.5 for 8.5%, labels convert to percent format by dividing by 100 before formatting:
str.tostring(fcfYieldDiluted / 100, format.percent)
Rolling History & Averages
1) Rolling storage
The script maintains a rolling array of the most recent 40 quarterly values:
40 quarters ≈ 10 years
Each time a non-NA quarterly yield appears:
It pushes it into the array
If array length exceeds 40, it removes the oldest value
2) Trailing averages (quarter windows)
Averages are computed over the most recent N quarters:
1Q (latest quarter value)
4Q ≈ 1 year
8Q ≈ 2 years
20Q ≈ 5 years
40Q ≈ 10 years
If fewer than N values exist, that average is na.
End-of-chart Summary Label
On the last bar (barstate.islast), the script draws a summary label containing the trailing averages listed above.
Placement logic
The label is positioned slightly to the right of the current bar:
Uses frequencyUnit (estimated number of chart bars per quarter) to offset the label into the future.
frequencyUnit is computed as:
frequencyUnit
≈
Seconds in 12 months
Seconds per chart bar
÷
4
frequencyUnit≈
Seconds per chart bar
Seconds in 12 months
÷4
This is only for visual spacing, not calculation correctness.
Limitations / Notes
The yield series is “step-like” and updates only when new quarterly fundamentals are available.
For some tickers, TradingView fundamentals (especially diluted shares) can be missing or inconsistent; the script protects against this by returning na or falling back to the net yield.
EV-based yield can differ from market-cap-based yield; EV includes debt and cash effects, so it’s closer to an “all-capital” valuation measure.
Fibonacci Sequence Grid [BigBeluga]🔵 OVERVIEW
A geometric price mapping tool that projects Fibonacci sequence levels and grid structures from recent price swings to help traders visualize natural expansion and reversion zones.
This indicator overlays Fibonacci-based structures directly on the chart, utilizing both grid projections and horizontal levels based on the classic Fibonacci integer sequence (0, 1, 1, 2, 3, 5, 8, ...). It identifies recent swing highs or lows and builds precision-aligned levels based on the trend direction.
🔵 CONCEPTS
Uses the Fibonacci integer sequence (not ratios) to define distances from the most recent swing point.
Identifies a trend based on EMA cross of fast and slow periods.
Projects two types of Fibonacci tools:
A grid projection from the swing point, displaying multiple sloped levels based on the sequence.
A set of horizontal Fibonacci levels for clean structural references.
Levels can be plotted from either swing low or high depending on the current trend direction.
Adjustable “Size” inputs control spacing between levels for better price alignment.
Lookback period defines how far the script searches for recent swing extremes.
🔵 FEATURES
Fibonacci Grid Projection:
Draws two mirrored Fibonacci grids—one expanding away from the swing high/low, the other converging toward price.
Swing-Based Trend Detection:
Uses a fast/slow EMA crossover to determine trend direction and reference swing points for projections.
Fibonacci Sequence Levels:
Displays horizontal levels based on the Fibonacci number sequence (0, 1, 2, 3, 5, 8, 13, 21...) for natural price targets.
Dynamic Labels and Coloring:
Each level is labeled with its sequence value and colored based on trend direction (e.g., red = downtrend, green = uptrend).
Both grids and levels can be toggled on/off independently.
Sizing controls allow tighter or looser clustering of levels depending on chart scale.
🔵 HOW TO USE
Enable Fibonacci Grid to visualize price expansion zones during impulsive trends.
Use Fibonacci Levels as horizontal support/resistance or target zones.
A label below price means the current trend is up and levels are projected from swing low.
A label above price means trend is down and levels are projected from swing high.
Adjust “Size” input to fit grid/level projection to your preferred chart scale or instrument volatility.
Use in confluence with price action, trend indicators, or volume tools for layered trading decisions.
🔵 CONCLUSION
Fibonacci Sequence Grid reimagines Fibonacci analysis using whole-number spacing from natural math progressions. Whether used for projecting grid-based expansions or horizontal support/resistance zones, it provides a powerful and intuitive structure to trade within. Perfect for traders who rely on symmetry, market geometry, and mathematically consistent levels.
Linear Regression Market State IndexStandard Deviation Market Structure Indicator
A Comprehensive Multi-Timeframe Market Analysis Tool
🎯 Overview
The Standard Deviation Market Structure (SDMS) indicator is a sophisticated technical analysis tool that integrates multiple proven methodologies to identify market structure, trend direction, and potential reversal zones. By combining price action, statistical analysis, and momentum indicators across multiple timeframes, SDMS provides traders with a comprehensive view of market dynamics.
✨ Key Features
Multi-Timeframe Integration
Primary analysis on current timeframe
1-hour statistical confirmation for support/resistance levels
Order block extension across 500 future bars
Comprehensive Technical Suite
RSI with Deviation Analysis
Dynamic Order Block Detection
Gaussian Filter Channels
Linear Regression with Statistical Bands
Standard deviation to detect price outliers
Directional Movement Index (DMI/ADX)
Bollinger Band % Analysis
Support/Resistance Line System
Visual Clarity
Color-coded signals and zones
Automatic level management
Clean, intuitive display
📊 Core Components Explained
1. Order Block System
What Are Order Blocks?
Order blocks are price zones where institutional activity has occurred, creating future support or resistance levels. SDMS automatically detects these critical zones.
Detection Logic:
Bullish Order Blocks: Form when price breaks above recent highs following bearish candles
Bearish Order Blocks: Form when price breaks below recent lows following bullish candles
Visual Identification:
Green boxes with "BuOB" labels (support zones)
Red boxes with "BeOB" labels (resistance zones)
Each block shows its boundary price for easy reference
Dynamic Management:
Automatically extends 300 bars into the future
Self-cleaning: removes blocks when price breaches their boundaries
Real-time adjustment to changing market structure
2. Statistical Support/Resistance System
How It Works:
SDMS creates support and resistance lines based on statistical extremes confirmed on the 1-hour timeframe.
Trigger Conditions:
Support Lines (Green): Trigger when 1H Bollinger Band % crosses above 0 and bearish momentum subsides.
Resistance Lines (Red): Trigger when 1H Bollinger Band % crosses below 1 and bullish momentum subsides
The Science Behind BB%:
BB% = (Price - Lower Band) / (Upper Band - Lower Band)
BB% <= 0: Price at statistical oversold extreme; also indicated by white candles.
BB% > 1: Price at statistical overbought extreme; also indicated by white candles.
Line Management:
Maximum of 15 active lines
Oldest lines automatically removed
Lines extend across chart for ongoing reference
3. Trend Analysis Suite
Hull Moving Average (HMA):
55-period smoothed trend indicator
Color-coded: Green = bullish, Red = bearish
Visual band shows trend acceleration/deceleration
Gaussian Channel:
Advanced filtering of market noise
Dynamic channel based on true range volatility
Helps identify mean reversion opportunities
Form a yellow band when price is overbought or oversold zones.
Linear Regression System:
Statistical price modeling
Multiple standard deviation bands (up to 3SD)
Regression-based candlestick visualization
Candles turn white when in overbought zones. Yellow candles indicate extremely overbought zones. Blue candles indicate a bullish trend with high volume.
Bearish candles are bluish-purple when volume is high and red when the volume is within normal ranges or low.
4. Momentum & Oscillator Integration
RSI with Deviation Tracking:
21-period RSI with 30-period smoothing
Tracks deviation from moving average based off linear regression
Identifies momentum divergences
Directional Movement Index:
Multi-period DMI/ADX analysis
Used to detect overbought and oversold zones within the indicator calculations.
Combines with RSI for enhanced signals
Momentum confirmation for all entries/exits
🎯 Trading Signals & Alerts
Buy Signals (Yellow "Buy" Labels)
Multi-Condition Confirmation Required:
RSI Oversold Reversal: RSI crosses above 30
Trend Alignment: HMA showing bullish structure
Momentum Confirmation: DMI alignment
Statistical Support: Price at or near support zones
Risk Management: Multiple confirming indicators
Strong Buy Conditions:
Confluence of order block support + BB% support line
Multiple timeframe alignment
Volume confirmation at key levels
Sell Signals (Red/Yellow "Sell" Labels)
Multi-Condition Confirmation Required:
RSI Overbought Reversal: RSI crosses below 70
Trend Exhaustion: HMA showing bearish structure
Momentum Divergence: DMI bearish alignment
Statistical Resistance: Price at or near resistance zones
Timeframe Confirmation: 1H BB% bearish signals
Strong Sell Conditions:
Confluence of order block resistance + BB% resistance line
Multiple timeframe distribution
Volume surge at resistance
Additional Alerts
RSI Divergence Signals: Triangles showing momentum shifts
Extreme Price Alerts: Circles at statistical extremes
Structure Breaks: Visual cues for order block violations
🎨 Visual System Guide
Color Coding System
Green: Bullish conditions, support zones, rising trends
Red: Bearish conditions, resistance zones, falling trends
Blue: Statistical channels, neutral zones
Yellow: Alert conditions, extreme signals
White: Transition zones, neutral signals
Zone Identification
Buying Pressure Zones: Green/blue tinted areas below price or white candles with white dots within the moving average center line
Selling Pressure Zones: Red tinted areas above price with white dots within the moving average center line
Standard Deviation Zones: Gradient colors showing statistical extremes
⚙️ Customization Options
Adjustable Parameters
RSI Settings: Period, oversold/overbought levels, sensitivity
Order Block Detection: Lookback period, ATR multiplier, extension
Statistical Settings: Gaussian filter poles, regression periods
Support/Resistance: Maximum lines, BB% settings
Visual Preferences: Colors, band displays, alert styles
Input Groups
RSI Trading Strategy
Order Block Configuration
Gaussian Channel Settings
Linear Regression Parameters
DMI/ADX Configuration
Bollinger Band % Settings
📈 Practical Trading Applications
For Swing Traders
Identify Key Levels: Use order blocks + BB% lines for entry/exit planning
Trend Confirmation: HMA + Gaussian channel for trend direction
Risk Management: Standard deviation bands for stop placement
Timing Entries: RSI/DMI alignment for optimal entry timing
For Day Traders
Intraday Levels: Order blocks provide immediate S/R for day trading
Momentum Signals: Real-time RSI/DMI signals for quick moves
Statistical Edges: Gaussian channel for mean reversion plays
Breakout Confirmation: Order block breaks with volume
For Position Traders
Higher Timeframe Structure: 1H BB% lines for major levels
Trend Persistence: HMA for long-term trend identification
Accumulation/Distribution Zones: Order blocks show institutional activity
Multi-Timeframe Alignment: Confirmation across timeframes
🔍 How to Use SDMS Effectively
Step 1: Market Structure Assessment
Identify active order blocks (green/red boxes)
Note BB% support/resistance lines (horizontal lines)
Assess HMA and moving average trend direction (color)
Check Gaussian channel position (preferably outside 2SD)
Step 2: Signal Confirmation
Wait for multiple indicator alignment
look for doji candles.
Confirm with green (bullish) or red (bearish) candles
Confirm with volume if available
Check for confluence of levels
Assess risk/reward based on nearby levels
Step 3: Trade Management
Enter at confirmed support/resistance
Place stops beyond opposite levels
Take profits at next statistical level
Monitor for structure changes
Step 4: Risk Management
Use standard deviation bands for volatility assessment
Never risk more than 1-2% per trade
Adjust position size based on confluence strength
Have predefined exit rules
💡 Advanced Strategies
Strategy 1: Confluence Trading
Setup: Order block + BB% line at same level
Entry: Price tests confluence zone with RSI signal
Stop: Beyond the confluence zone
Target: Next statistical level
Strategy 2: Breakout Trading
Setup: Price approaching order block boundary
Entry: Break with volume + RSI/DMI confirmation
Stop: Re-entry into order block
Target: Next BB% line extension
Strategy 3: Mean Reversion
Setup: Price at Gaussian channel extremes
Entry: RSI reversal signal at channel boundary
Stop: Beyond channel extreme
Target: Channel midline or opposite boundary
⚠️ Important Considerations
Best Market Conditions
Trending Markets: Excellent performance in clear trends
Breakout Scenarios: Strong identification of break levels
Range Markets: Works well with defined ranges
Limitations
Choppy Markets: May give false signals in consolidation
News Events: Fundamental shocks can override technical levels
Timeframe Specific: Optimal on 15-minute to daily charts
Risk Management Rules
Always use stops
Never rely on single signals
Consider market context
Adjust for volatility changes
Keep position sizes consistent
🔧 Technical Specifications
Maximum Lines: 500
Maximum Bars Back: 1000
Maximum Boxes: 500
Calculation Efficiency: Optimized for real-time use
🏆 Why SDMS Stands Out
Unique Advantages
Integrated Approach: Combines multiple methodologies into one tool
Self-Adjusting: Automatically adapts to market changes
Multi-Timeframe: Provides both immediate and higher timeframe context
Visual Clarity: Clean, intuitive display of complex data
Professional Grade: Institutional-level analysis accessible to all traders
Educational Value: Learn how different indicators interact
Understand market structure development
See institutional order flow patterns
Develop disciplined trading habits
📚 Learning Resources
Recommended Study Approach
Start Simple: Focus on order blocks and BB% lines first
Add Complexity: Gradually incorporate other indicators
Paper Trade: Practice without risk
Keep Journal: Document setups and outcomes
Review Regularly: Analyze both wins and losses
Common Pitfalls to Avoid
Overtrading: Wait for high-quality setups
Ignoring Context: Consider overall market conditions
Chasing Signals: Enter at planned levels, not after moves
Risk Mismanagement: Always know your risk before entering
Confirmation Bias: Be objective about signals
🤝 Community & Support
Getting the Most from SDMS
Start with Defaults: Use default settings initially
Adjust Gradually: Make small changes as you understand the tool
Combine with Fundamentals: Use for timing within fundamental context
Stay Disciplined: Follow your trading plan consistently
Continuous Improvement
SDMS is designed for continuous learning. As you use the indicator, you'll develop insights into:
Market microstructure
Institutional trading patterns
Statistical edge identification
Risk management optimization
Risk management is more important than signal accuracy
Patience is required for high-quality setups
Success Factors
Discipline: Following your plan consistently
Patience: Waiting for proper setups
Risk Management: Protecting your capital
Continuous Learning: Improving your skills over time
🌟 Final Thoughts
The Standard Deviation Market Structure indicator represents a sophisticated approach to technical analysis, combining the best elements of price action, statistical analysis, and momentum indicators. While powerful, remember that no indicator guarantees success. SDMS is a tool – your skill, discipline, and risk management determine your trading results.
Use SDMS as part of a comprehensive trading plan, combine it with proper risk management, and continue developing your trading skills. The markets are always teaching – stay humble, stay disciplined, and trade well.
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Trading involves risk of loss. Always consult with a qualified financial professional before making investment decisions.
MLSS v3 + AlertsTitle: 6-in-1 Professional Levels Suite
Description:
Overview
This comprehensive indicator is designed for price action traders who rely on key structural levels. It automatically identifies and plots six distinct types of support and resistance zones, significantly reducing chart clutter and manual work. Whether you are following the Gerchik methodology or classic S/R strategies, this tool provides the "skeleton" of the market at a glance.
Key Features & Methodology:
Limit Player Levels (LPL): Identifies precise "penny-to-penny" touches where a large limit order is holding the price. Configurable tolerance in ticks.
Historical Levels (HL): Plots major global swing points from higher timeframes (Daily/Monthly) that represent long-term trend shifts.
Mirror Levels (ML): Automatically detects classic "Role Reversal" zones where previous resistance becomes new support (and vice versa) within a specific lookback period.
Paranormal Bar Levels (PBL): Highlights the High and Low of candles with anomalous volatility (based on 2x ATR multiplier). These are high-interest zones for institutional liquidity.
Previous Day High/Low (PDH/PDL): Essential daily boundaries for intraday traders to gauge the current day's bias.
Round Numbers (RN): Psychological levels (e.g., .000, .500) that act as natural magnets for price action.
Why use this indicator?
Clean Visualization: Each level is uniquely color-coded and labeled.
Fully Customizable: Toggle any level type on/off and adjust calculation parameters (ATR multipliers, lookback depth, and tick tolerance).
Efficiency: Stops the "full-screen panic" by keeping your essential levels visible and organized.
How to use:
Look for clusters where multiple levels (e.g., a Mirror Level + a Round Number) coincide — these are high-probability reversal zones.
Use PBL levels to identify where big money "opened the curtain" during news events.
Instructions for Publishing (Маленькие советы):
Peter's Relative Strength vs VTI (1 year)In Stockcharts.com, I would always view 1-year charts and have a RS line showing relative strength of the stock or ETF I'm looking at relative to VTI. When I moved to TradingView, this information was harder to see, so I made this indicator. It always shows what the stock or ETF has done relative to the wider market over the past 1 year.
Vishall FINAL candle Power X Strategy-AUTO EXPORTVishall FINAL candle Power X Strategy-AUTO EXPORT
longPower = close - low
shortPower = high - close
Y = close
x = ((longPower - shortPower) / Y) * 100
Candle Power X Value _ Strategy Candle Power X Value — Strategy 1.0
// === Base values ===
longPower = close - low
shortPower = high - close
// === Y calculation ===
Y = close
// === Final X formula ===
x = ((longPower - shortPower) / Y) * 100
Vishall Candel Power Strategy with timeVishall Candel Power Strategy with time
//=== Base values ===
longPower = close - low
shortPower = high - close
// === Y calculation ===
Y = close
// === Final X formula (YOUR VALUE) ===
x = ((longPower - shortPower) / Y) * 100
Vishall Candel Power x value Strategy with timeVishall Candel Power x value Strategy with time
longPower = close - low
shortPower = high - close
// === Y calculation ===
Y = close
// === Final X formula (YOUR VALUE) ===
x = ((longPower - shortPower) / Y) * 100
Vishall Candle Power X Value Strategy + Sheet ExportVishall Candle Power X Value Strategy + Sheet Export
// === Base values ===
longPower = close - low
shortPower = high - close
// === Y calculation ===
Y = close
// === Final X formula ===
x = ((longPower - shortPower) / Y) * 100
Vishall Candle Power X Value// === Base values ===
longPower = close - low
shortPower = high - close
// === Y calculation ===
// For completed candles, close is the candle close
// For the running candle, close is the current spot price automatically
Y = close
// === Final X formula ===
x = ((longPower - shortPower) / Y) * 100
23:00 London 15m -> Asia Close (No colors)//@version=5
indicator("23:00 London 15m -> Asia Close (No colors)", overlay=true, max_lines_count=50, max_labels_count=50)
tz = "Europe/London"
// set Asia close in London time
asiaCloseHour = input.int(6, "Asia close hour (London)", minval=0, maxval=23)
asiaCloseMin = input.int(0, "Asia close minute", minval=0, maxval=59)
is15 = timeframe.period == "15"
is2300 = hour(time, tz) == 23 and minute(time, tz) == 0
cond = is15 and is2300
var line hiLine = na
var line loLine = na
var label info = na
f_asiaCloseTs(_t) =>
y = year(_t, tz)
m = month(_t, tz)
d = dayofmonth(_t, tz)
closeToday = timestamp(tz, y, m, d, asiaCloseHour, asiaCloseMin)
closeNext = timestamp(tz, y, m, d + 1, asiaCloseHour, asiaCloseMin)
_t >= closeToday ? closeNext : closeToday
if cond
hi = high
lo = low
endTs = f_asiaCloseTs(time)
if not na(hiLine)
line.delete(hiLine)
if not na(loLine)
line.delete(loLine)
if not na(info)
label.delete(info)
// High line
hiLine := line.new(time, hi, endTs, hi, xloc=xloc.bar_time, extend=extend.none, width=2)
// Low line
loLine := line.new(time, lo, endTs, lo, xloc=xloc.bar_time, extend=extend.none, width=2)
// Label with exact values
info := label.new(endTs, hi, xloc=xloc.bar_time,
text="23:00 London (15m) High: " + str.tostring(hi, format.mintick) + " Low: " + str.tostring(lo, format.mintick),
style=label.style_label_left)
Vwap by EVThis indicator provides a complete multi-VWAP framework designed for traders who rely on price acceptance, value areas, and mean reversion across different market horizons. It plots Session, Daily, and Weekly VWAPs simultaneously, allowing users to understand short-term, intraday, and higher-timeframe value in a single, uncluttered view.
The Session VWAP supports custom trading hours and timezones, making it adaptable to equities, indices, forex, and crypto markets. All VWAP calculations are volume-weighted and non-repainting, with optional standard deviation bands based on true volume dispersion rather than fixed offsets. This ensures that each VWAP reflects genuine market participation and volatility.
Daily and Weekly VWAPs act as higher-timeframe equilibrium references, helping traders identify premium and discount zones, dynamic support and resistance, and directional bias. Optional band visibility and independent styling allow the indicator to remain clean while still providing depth when needed.
Adaptive Log Trend Zones + Retest SignalsAdaptive Log Trend Zones + Retest Signals
Adaptive Log Trend Zones is a trend-following overlay built to identify high-probability breakout retests in strong market conditions. It combines logarithmic regression , volatility-adaptive behavior , and ATR-based trend zones to help traders stay aligned with dominant momentum while avoiding chop.
🔹 Core Features
Logarithmic Regression Midline
Uses linear regression on log price to better handle exponential market moves
Produces smoother, more realistic trend structure on higher timeframes
Volatility-Adaptive Lookback
Automatically expands or contracts the regression length based on ATR volatility
Reacts faster in high volatility, smoother in consolidation
Dynamic Trend Zones
Upper and lower bands are ATR-adjusted and trend-colored
Optional future projection for visual trend guidance
Breakout → Retest Signal Logic
Detects clean breakouts beyond the trend zone
Waits for a controlled pullback (retest) before signaling
Signals only trigger when trend strength is confirmed
Trend Quality Filter
Internal regime detection filters out low-quality, sideways conditions
Uses slope strength and volatility compression to validate entries
🔹 Signals
BUY : Bullish breakout followed by a valid retest in a trending regime
SELL : Bearish breakout followed by a valid retest in a trending regime
Signals are designed for trend continuation , not mean reversion.
🔹 Best Use Cases
Crypto, Forex, and Index markets
Higher timeframes (15m+ recommended)
Trend continuation and pullback strategies
⚠️ Notes
This indicator is not a standalone trading system . Always use proper risk management and confirm signals with structure, volume, or higher-timeframe context.
Designed for traders who prefer structure, patience, and momentum alignment.






















