EMA BBEMA BB – Putting Them Together
Usually, instead of using SMA as the middle band for Bollinger Bands, some traders use EMA.
So EMA BB = Bollinger Bands with EMA as the middle line.
This makes the bands more responsive to recent price changes compared to SMA Bollinger Bands.
Chỉ báo và chiến lược
Candle Closing Range %Measuring strength of the daily closing candle after a gap up or strong open.
This indicator calculates where price closed within the day’s range and expresses it as a percentage. It is designed to give immediate context on whether buyers or sellers controlled the session — and is especially useful when analyzing gap days or trend continuation setups on intraday charts.
The indicator always references the most recent closed daily candle.
Formula:
Closing Range = (Close – Low) / (High – Low) × 100
Range interpretation:
• Closing range > 60% → Buyers dominated
• Closing range 40–60% → Neutral (directional bias unclear)
• Closing range < 40% → Sellers dominated
Style options:
• Background color
• Text Size
• Text Color
Yen Carry Stress Badge Indicator Overview
This dashboard measures stress in the yen‑carry cycle using price‑based signals from FX, volatility, and global equity markets. Each component is scored based on its current condition, and the combined total reflects whether global markets are in a risk‑on expansion, transition phase, or risk‑off contraction.
Dashboard Components & Indication Levels
USDJPY Trend
Bullish (0 stress): USDJPY above 50‑day MA; yen weakening; carry trade stable
Bearish (1 stress): USDJPY below 50‑day MA; yen strengthening; unwind risk rising
JPY Volatility (ATR%)
Low (0 stress): ATR% < 0.8; stable FX environment
Medium (1 stress): ATR% 0.8–1.2; early instability
High (2 stress): ATR% > 1.2; elevated yen‑carry stress
VIX (Equity Volatility)
Low (0 stress): VIX < 18; calm markets
Medium (1 stress): VIX 18–25; rising uncertainty
High (2 stress): VIX > 25; risk‑off conditions
VWO Strength (Emerging Markets)
Strong (0 stress): VWO/VTI above 50‑day MA; EM participating; liquidity healthy
Weak (1 stress): VWO/VTI below 50‑day MA; EM lagging; early stress signal
VEA Strength (Developed Markets)
Strong (0 stress): VEA/VTI above 50‑day MA; broad global participation
Weak (1 stress): VEA/VTI below 50‑day MA; global breadth narrowing
Total Stress Score (0–10)
0–3: Low Stress (Risk‑On Expansion)
4–6: Moderate Stress (Transition Phase)
7–10: High Stress (Risk‑Off Contraction)
P/E, EPS, Price & Price-to-Sales DisplayThis indicator displays key fundamental valuation metrics for the selected stock.
It shows:
Earnings Per Share (EPS)
Price-to-Earnings (P/E) ratio
Calculated theoretical price based on P/E × EPS
Price-to-Sales (P/S) ratio
These values help traders quickly assess valuation without switching to separate financial panels.
🛠 Instructions for Use
Add the indicator to your chart.
Click on the three dots (⋯) next to the indicator name.
Select Move to → New pane above.
Minimize the indicator pane to display only the numerical values.
Hide the plotted lines if you want a clean, numbers-only view.
This setup allows you to monitor fundamental metrics efficiently without cluttering the price chart.
Zig Zag ++ SG (Premium)🔥 Zig Zag ++ SG
Professional Market Structure & Cycle Analyzer
Zig Zag ++ SG is an advanced, research-grade market structure indicator built on top of a refined ZigZag engine, designed for traders and investors who want to understand price cycles, not chase candles.
This is not a buy-sell arrow tool.
It is a decision-support system used to analyze trend strength, exhaustion, pullback depth, and cycle behavior across any market and timeframe.
🧠 What Makes Zig Zag ++ SG Different?
Most ZigZag indicators only draw lines.
Zig Zag ++ SG answers the real questions:
Is the trend getting stronger or weaker?
Are higher highs still meaningful?
How deep are pullbacks in percentage terms?
Which stocks recover fast vs stay weak?
Is this accumulation, distribution, or reversal?
It does this by combining:
Market Structure (HH / HL / LH / LL)
Consecutive structure counting
Gain & fall percentage per swing
Clean visual logic (no repaint confusion)
📌 Core Features
✅ 1. Automatic Market Structure Detection
Labels every major swing as:
HH – Higher High
HL – Higher Low
LH – Lower High
LL – Lower Low
This instantly shows whether the market is:
Trending
Consolidating
Distributing
Reversing
✅ 2. Consecutive Structure Count (ON by default)
Each structure type is counted sequentially:
HH (1), HH (2), HH (3)…
HL (1), HL (2)…
This reveals:
Trend maturity
Exhaustion zones
Early breakdown warnings
Example:
HH (4) = trend may be overextended
HL (3) = healthy trend continuation
✅ 3. Gain & Fall % on Every Swing (ON by default)
Every HH, HL, LH, LL shows:
Exact % move from the previous pivot
This allows you to:
Compare pullback depth across stocks
Identify leaders (shallow HLs)
Spot weak stocks (deep HLs / LHs)
Study cycle symmetry
Example label:
HL (2)
-6.4%
✅ 4. Clean, Readable Visual Design
🟩 Green labels → White text
🟥 Red labels → High-contrast white text
Optional background trend shading (OFF by default)
Works perfectly in dark & light mode
Designed for long chart study sessions, not flashy screenshots.
✅ 5. Safe Repaint Logic (Transparent by Design)
Uses ZigZag logic intentionally
No fake “non-repainting” claims
Ideal for analysis, research & planning
What you see is structurally correct
This indicator is for thinking traders, not signal chasers.
⚙️ Best Settings (Recommended)
🔹 Intraday Trading
Timeframe: 5m / 15m
Depth: 8–10
Deviation: 3–5
Backstep: 2
🔹 Swing Trading (Most Popular)
Timeframe: Daily
Depth: 12–15
Deviation: 5
Backstep: 2
🔹 Long-Term / Investing
Timeframe: Weekly
Depth: 15–20
Deviation: 5–8
Backstep: 3
💡 Tip:
Lower depth = more swings
Higher depth = cleaner, major cycles
📈 How to Use Zig Zag ++ SG (Practically)
🔹 Trend Strength
HH (3+) + HL (2–3)
→ Strong, healthy trend
🔹 Exhaustion Warning
HH (4+)
→ Risk of distribution or slowdown
🔹 Pullback Quality
HL −3% to −7%
→ Strong stock
HL −12% to −20%
→ Weak hands / fragile trend
🔹 Reversal Confirmation
LH followed by LL (2+)
→ Trend change likely
🧪 Who Is This Indicator For?
✅ Swing traders
✅ Positional traders
✅ Long-term investors
✅ Market structure students
✅ Stock researchers
✅ Anyone tired of noisy indicators
❌ Not for:
People wanting instant buy/sell arrows
Scalpers chasing 1-minute signals
“Magic indicator” seekers
💎 Why This Is Worth Purchasing
Built with Pine Script v6 best practices
Solves real market questions
Helps avoid:
Buying late
Selling early
Holding weak stocks too long
Encourages process-driven trading
One-time learning tool you’ll use for years
Most traders lose money not because of entries —
but because they misread structure and cycles.
Zig Zag ++ SG fixes that.
demark_uiLibrary "demark_ui"
f_dashUpdate6x2(dash, c00, c10, c01, c11, c02, c12, c12TextColor, c03, c13, c04, c14, c05, c15, bg, tc, ts)
Parameters:
dash (table)
c00 (string)
c10 (string)
c01 (string)
c11 (string)
c02 (string)
c12 (string)
c12TextColor (color)
c03 (string)
c13 (string)
c04 (string)
c14 (string)
c05 (string)
c15 (string)
bg (color)
tc (color)
ts (string)
Volatility Expansion Arrows + AlertsDetects a Volatility Expansion
An expansion occurs when:
The current candle’s range is much larger than normal
Default: 1.4× the recent average range
This filters out noise and only reacts to meaningful aggression
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
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
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
NeuraCloud - Ichimoku (Purple Kumo) + Alerts (Minimal)NeuraCloud is a clean, modern interpretation of the Ichimoku Cloud, designed to identify trend direction, market structure, and key support/resistance zones at a glance.
The purple cloud (Kumo) acts as a dynamic trend filter:
• Price above the cloud indicates bullish conditions
• Price below the cloud indicates bearish conditions
• Price inside the cloud signals consolidation or uncertainty
NeuraCloud combines the cloud with Tenkan-sen and Kijun-sen to highlight momentum shifts, pullbacks, and trend continuation opportunities. Built-in alerts notify you of price/cloud breaks, momentum crosses, and cloud flips, helping you stay aligned with high-probability market structure.
Ideal for trend traders, swing traders, and multi-timeframe analysis, NeuraCloud keeps charts clean while delivering clear market context.
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
Volume Bubbles by EV Volume Bubbles visualizes high-activity candles using chart bubbles placed at an estimated intrabar origin point derived from lower timeframe data. When enabled, the script uses lower timeframe OHLC to approximate directional volume delta and selects an origin candle inside the parent bar using one of several methods. A relative-volume filter based on the parent bar can be used to reduce noise, and bubble size can be mapped to relative volume to highlight unusually active bars. If intrabar data is unavailable, the script can fall back to placing bubbles on the parent bar to keep behavior consistent. For best stability, the “Only confirmed bars” option is recommended.
Heikin Ashi SMA 9 / 20 / 50 (MTF + Selectable Source)This is simple Heikin ashi value three moving average as 9 / 20 / 50 for clear trend identification . use it wisely with other confirmation .
Canales Pivot H y P - EXTREMOSBollinger Extremes measures the average estimated volatility during the day, compared to the closing price.
Range Breakout Statistics [Honestcowboy]⯁ Overview
The Range Breakout Statistics uses a very simple system to detect ranges/consolidating markets. The principle is simple, it looks for areas where the slope of a moving average is flat compared to past values. If the moving average is flat for X amount of bars that's a range and it will draw a box.
The statistics part of the script is a bit more complicated. The aim of this script is to expand analysis of trading signals in a different way than a regular backtest. It also highlights the polyline tool, one of my favorite drawing tools on the tradingview platform.
⯁ Statistics Methods
The script has 2 different modes of analyzing a trading signals strength/robustness. It will do that for 2 signals native to the script.
Upper breakout: first price breakout at top of box, before max bars (100 bars by default)
Lower breakout: first price breakout at bottom of box, before max bars
The analysis methods themselves are straightforward and it should be possible for tradingview community to expand this type of analysis to other trading signals. This script is a demo for this analysis, yet some might still find the native signals helpful in their trading, that's why the script includes alerts for the 2 native signals. I've also added a setting to disable any data gathering, which makes script run faster if you want to automate it.
For both of the analysis methods it uses the same data, just with different calculations and drawing methods. The data set is all past price action reactions to the signals saved in a matrix. Below a chart for explaining this visually.
⯁ Method 1: Averages Projection
The idea behind this is that just showing all price action that happened after signal does not give actionable insights. It's more a spaghetti jumble mess of price action lines. So instead the script averages the data out using 3 different approaches, all selectable in the settings menu.
Geometric Average: useful as it accurately reflects compound returns over time, smoothing out the impact of large gains or losses. Accounts for volatility drift.
Arithmetic Average: a standard average calculation, can be misleading in trading due to volatility drift. It is the most basic form of averaging so I included it.
Median: useful as any big volatility huge moves after a signal does not really impact the mean as it's just the middle value of all values.
These averages are the 2 lines you will find in the middle of the projection. Having a clear difference between a lower break average and upper break average price reaction can signal significance of the trading signal instead of pure chaos.
Outside of this I also included calculations for the maximum and minimum values in the dataset. This is useful for seeing price reactions range to the signal, showing extreme losses or wins are possible. For this range I also included 2 matrices of highs and lows data. This makes it possible to draw a band between the range based on closing price and the one using high/low data.
Below is a visualisation of how the averages data is shown on chart.
⯁ Method 2: Equity Simulation
This method will feel closer to home for traders as it more closely resembles a backtest. It does not include any commissions however and also is just a visualisation of price reaction to a signal. This method will simulate what would happen if you would buy at the breakout point and hold the trade for X amount of bars. With 0 being sell at same bar close. To test robustness I've given the option to visualise Equity simulation not just for 1 simulation but a bunch of simulations.
On default settings it will draw the simulations for 0 bars holding all the way to 10 bars holding. The idea behind it is to check how stable the effect is, to have further confirmation of the significance of the signal. If price simulation line moves up on average for 0 bars all the way to 10 bars holding time that means the signal is steady.
Below is a visualisation of the Equity Simulation.
⯁ Signal filtering
For the boxes themselves where breakouts come from I've included a simple filter based on the size of the box in ATR or %. This will filter out all the boxes that are larger top to bottom than the ATR or % value you setup.
⯁ Coloring of Script
The script includes 5 color themes. There are no color settings or other visual settings in the script, the script themes are simple and always have colors that work well together. Equity simulation uses a gradient based on lightness to color the different lines so it's easier to differentiate them while still upper breaks having a different color than lower breaks.
This script is not created to be used in conjunction with other scripts, it will force you into a background color that matches the theme. It's purpose is a research tool for systematic trading, to analyse signals in more depth.
Metaverse color theme:
⯁ Conclusion
I hope this script will help traders get a deeper understanding of how different assets react to their assets. It should be possible to convert this script into other signals if you know how to code on the platform. It is my intention to make more publications that include this type of analysis. It is especially useful when dealing with signals that do not happen often enough, so a regular backtest is not enough to test their significance.
Market Regime Guard PRO Institutional No-Trade ZonesThis dashboard automatically blocks trading on structurally dangerous market days caused by volatility compression, inside-day accumulation, rising VIX liquidation risk, EMA breakdowns, and thin liquidity traps.
Most traders lose not because their entries are bad — but because they trade on structurally dangerous market days.
This dashboard automatically blocks trading on contraction, liquidation-risk, inside-day, and volatility-trap days.
Then list what it detects:
• Inside Days (institutional absorption)
• NR7 contraction traps
• ATR volatility compression
• EMA structure breakdown
• Rising VIX liquidation risk
• News & holiday liquidity traps
Promise:
Only trade when the market structure is favorable.
Use this as your universal go/no-go trading permission system.
If it’s GREEN → Trade.
If it’s RED → Stand Aside or Be careful
Works on:
SPY, QQQ, TQQQ, NVDA, PLTR, TSLA, BTC, ES, NQ, Forex & Crypto.
🧭 How to Use the Market Regime Table
This table is your go / no-go permission system.
Start by checking it on SPY and QQQ — these represent the overall U.S. market and the Nasdaq growth complex.
• If SPY and QQQ are GREEN → market structure is favorable
• If either is RED → stand aside or reduce risk
Once the market is GREEN, you can then apply the same table to individual stocks (NVDA, PLTR, TSLA, AMD, etc.) to confirm that the stock’s structure is also favorable before taking any trades.
Rule of thumb:
Market first. Stock second.
Only trade when both are GREEN.
This one rule alone dramatically improves win rate, drawdown, and consistency.
FULL DESCRIPTION
Most traders don’t lose because their entries are bad —
They lose because they trade on structurally dangerous market days.
On these days:
• Institutions absorb liquidity
• Volatility contracts
• Fake breakouts dominate
• Stop hunts explode
• Real expansion does not occur
This indicator automatically identifies and blocks:
• Inside-day accumulation traps
• NR7 contraction traps
• Falling ATR volatility compression
• EMA structure breakdowns
• Rising VIX liquidation risk
• Thin liquidity / holiday risk
• News-day volatility traps
It gives you a clear desk-style verdict:
Status Meaning
🟢 GREEN Market structure favorable – trade normally
🔴 RED Structural danger – stand aside
This is not an entry system.
This is your permission system.
🛠 HOW TO USE
Add indicator to your chart
Check table in top-right
Trade only on GREEN days
Avoid RED days completely
📈 Personal Note
This regime filter has been instrumental in my own trading journey. After struggling during my first few years in the market, I realized that the biggest losses didn’t come from bad strategies — they came from trading on the wrong days.
Learning to stand aside on structurally dangerous market days and only trade when conditions are favorable dramatically improved my consistency and overall returns.
🧠 Why Market Regime Matters Even More for Day Traders
Most day-trader losses do not come from bad entries.
They come from:
• Choppy inside-day conditions
• Liquidity absorption
• Falling volatility (no follow-through)
• Stop-hunt behavior
• News / thin liquidity traps
Your filter directly blocks every one of these traps.
So for day traders, this tool:
• Prevents revenge trading
• Stops death-by-a-thousand-cuts days
• Filters out random chop days
• Protects capital on slow days
• Preserves psychological capital
📈 Why It Also Improves Swing Trading
For swing traders, this tool:
• Avoids entering during contraction
• Avoids entering before expansions
• Avoids bear-regime traps
• Improves follow-through probability
• Reduces drawdown
• Improves R-multiple expectancy
Which means:
Fewer trades
Higher quality trades
More profit per trade
The Universal Truth
The market does not pay you for activity.
It pays you for selectivity.
This filter improves timing, not tactics.
Your entries can be identical — your results improve simply because you’re trading on the right days.
⚠️ Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial, investment, or trading advice.
Trading stocks, options, futures, forex, and cryptocurrencies involves substantial risk and may result in the loss of some or all of your invested capital. Past performance is not indicative of future results.
This tool does not guarantee profits and should be used as a market structure filter and risk-management aid only. Always perform your own analysis, use proper position sizing, and consult a licensed financial professional before making any trading decisions.
You are solely responsible for all trades taken using this indicator.
Timeframe-Independent Anchored VWAPAn anchored VWAP (Volume Weighted Average Price) that produces identical values (down to the tick!) across different timeframes (unlike, for example, TradingView's built-in Anchored VWAP).
Advantages
This indicator calculates identical values whether you view it on 1m, 5m, 15m, or any other timeframe within reasonable ranges. Even challenging non-integer timeframe ratios like calculating on 2m while viewing on 3m are handled perfectly. In High or Low mode, VWAP will anchor precisely at the selected candle's high/low. As usual for AVWAP, up to 3 standard deviation bands are supported.
How to Use
Setting the Anchor: When the indicator is added, select your anchor time. This is typically placed at a significant swing high/low or session open.
Source Selection: Choose whether to anchor from High, Low, or Close price.
Calculation Timeframe: Select the timeframe used for VWAP calculation.
For intraday trading (1m-1H charts): Just keep the default setting (1m)
For swing trading (4H-D charts): Use 5m or 15m calculation timeframe
For position trading (D-W charts): Use 1H calculation timeframe
Important: Lower calculation timeframes provide more precise data but may hit Pine Script's bar limit on very long timeframes
Standard Deviation Bands: Enable additional band sets as needed for your trading style.
Technical Implementation
The indicator achieves timeframe independence through the following algorithm:
Lower Timeframe Sampling: Uses Pine Script's request.security_lower_tf() to retrieve bar data at the specified calculation timeframe, regardless of the viewing timeframe. This provides consistent data resolution across all chart timeframes.
Anchor Detection: Scans the lower timeframe data to identify the exact bar containing the selected anchor price. The algorithm handles both simple cases (where anchor falls on a complete bar) and complex cases (where anchor falls within a split bar in non-integer timeframe ratios like calculating on 2m while viewing on 3m).
FIFO Buffer Management: Maintains a First-In-First-Out buffer of lower timeframe bars. On each chart bar:
Adds new lower timeframe bars to the buffer
Processes exactly one period worth of bars (matching the viewing timeframe)
Removes processed bars from the buffer
This approach ensures consistent calculation regardless of viewing timeframe.
First Bar Initialization: On the anchor bar, processes only the single anchor bar to ensure the VWAP starts exactly at the anchor price. Subsequent bars process the full period, maintaining mathematical accuracy.
VWAP Calculation: Applies the standard volume-weighted average price formula:
VWAP = Σ(Price × Volume) / Σ(Volume)
StdDev = √(Σ(Price² × Volume) / Σ(Volume) - VWAP²)
All calculations accumulate from the anchor point forward.
Visual Continuity: For edge cases where the anchor falls in an incomplete bar (e.g., calculating on 2m while viewing on 3m), displays the anchor price as a visual placeholder until the actual calculation begins on the next bar. This ensures the line always starts visually at the anchor point.






















