VWAP Reversion (Sequential Stats + Profit/Loss Points)First time posting. This is my attempt to evaluate the effectiveness of VWAP reversion. I decided to make this an indicator with its own integrated stats.
If you set the session length to lets say 100, but choose a 1 minute timeframe, it will only load as many sessions as the chart will allow for that timeframe. increasing the timeframe will allow you to go back further with more sessions.
I plan to implement more and more as I refine it. I just wanted to get my working copy out into the universe. I'd like to add some method of "scaling in". Perhaps if the price goes further and further away from the original entry, say for each additional std. deviation band further, it could add another entry signal.
My trading journey is just beginning, I've never coded before, and this was made entirely through the fusion of my attempt to communicate the ideas in my head for ChatGPT to turn into code!
D-VWAP
OutsiderEdge - Adaptive Node Efficiency Function (ANEF)Overview - What is ANEF?
ANEF is a zero-centered oscillator that blends price efficiency, effective volume around VWAP (node proximity), order-flow imbalance (uptick/downtick proxy), and returns volatility into a single, normalized score. The goal is to help you spot efficient breakouts and inefficient mean-reversions in a way that’s transparent, systematic, and easy to align with your own analysis.
Users can combine ANEF’s components to build rules such as: “ Only consider short breakout signals when trend context is bearish and the ANEF score pushes into the Efficient Zone ,” or “ Look for mean-reversion setups when the ANEF score sinks into the Inefficient Zone while trend context remains bullish. ”
While ANEF can stand on its own, it also works well as a secondary confirmation layer to a user’s primary process (volume profile, price action, S/R, market structure, or your preferred overlays).
🔹 FEATURES
Below is each ANEF component/feature in the order that typically leads to the most confluence.
ANEF Core (Normalized Score)
Combines a price change term with effective volume near VWAP and order-flow imbalance, scaled by volatility and normalized into a zero-centered oscillator.
Read it like a pressure gauge: high positive values = efficient upside impulse risk; deep negative values = inefficient pressure that often reverts.
Efficient & Inefficient Zones (Thresholds)
Two user-set levels (default ≥ +4.6 and ≤ −4.6) to quickly see when ANEF pushes into efficient breakout territory (top zone) or inefficient territory (bottom zone).
Thresholds are not overbought/oversold; they’re contextual “efficiency bands.”
2nd-Signal Confirmation (Optional)
An opt-in rule to ignore the first signal of a type and only print the second occurrence within X bars (default 6).
Reduces one-off noise without repainting or lookahead.
Trend Context (EMA-based Wave, Optional)
A lightweight EMA context that lets you filter signals (e.g., only show ▼ in downtrend, only show ▲ in uptrend).
The context is plotted as a sub-pane wave centered around zero so it doesn’t fight for price-panel space.
Clean Alerts (Raw & Confirmed)
Raw alerts fire at zone interactions.
Confirmed alerts respect the 2nd-signal rule and (optionally) the trend filter.
Price-Panel Markers (through force_overlay)
Even with the oscillator in a separate pane, ANEF can print mini markers on the main chart.
Useful to correlate impulses/reversions with structure, S/R, or higher-TF levels.
🔹 USAGE
In the examples below, you see chart snapshot with five labeled points of (in)efficiency breakouts.
ICMARKETS:UK100
Point 1 — Efficient Downside Breakout (▼)
ANEF surges into the Efficient Zone, indicating downside momentum that’s aligned with node volume/imbalance and volatility. Typical use: trend-following continuation, takeprofit on existing long or tightening risk on existing shorts (invalidations above recent structure).
Point 2 — Inefficient Upside Reversion (▲)
First rebound after the selloff with ANEF deep in the Inefficient Zone. Not an ideal long entry on its own, but a good management cue: take partial profits on shorts or tighten stops as an early confirmation that the drop may be exhausting.
Point 3, 4 and 5 — Inefficient Upside Reversion (▲)
Another 3x ▲ appears as price forms a higher low and ANEF prints a less extreme negative reading. With the “second-signal within X bars” option enabled, this becomes a more credible mean-reversion attempt. Possible long entries or takeprofits on existing shorts.
Trading involves substantial risk. This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management.
🔹 NAVIGATING MARKET CONDITIONS
Trending phases:
Expect more time in or near the zones in the trend direction.
Consider allowing only trend-aligned signals (filter ON) and using counter zone exits for trail/partials rather than counter-trend trades.
Ranging phases:
Expect frequent dips and surges into the (In)efficient Zones and back.
Counter-moves (▲ in range downs, ▼ in range ups) can be productive with tight invalidation and the 2nd-signal rule to reduce noise.
Regime shifts:
Watch for repeated failures of one side’s signals plus cross-pane confluence (e.g., context flips while ANEF re-anchors around zero).
That sequence often marks transitions where your rules should adapt (e.g., disable the trend filter temporarily or widen your 2nd-signal window).
🔹 SETTINGS SUMMARY
ANEF Core: lengthPrice, lengthVol, lengthVolat, imbalanceCap
Zones: Efficient (≥), Inefficient (≤)
Confirmation: Require 2nd signal, Lookahead bars
Trend Filter: Enable, EMA length, optional smoothing & “only show ▲/▼ with trend”
Chart Markers: Also show on main chart (force_overlay)
Alerts: Raw vs Confirmed (pick what suits your workflow)
🔹 GOOD PRACTICES
Treat signals as context cues, not as mechanical buy/sell calls. You can align ANEF with structure (S/R, HTF bias, LVN, HVN or POC) and risk management (partials on zone exit, invalidation beyond recent swing). Start with defaults; tweak parameters to match your market/TF.
🔹 LIMITATIONS / DISCLAIMER
ANEF does not use lookahead and does not repaint, but no indicator guarantees outcomes.
Thresholds are heuristics; markets can remain efficient/inefficient longer than expected.
Use appropriate position sizing and independent validation.
Trading involves substantial risk. This tool is for educational purposes only and is not financial advice. Past performance does not guarantee future results. You are solely responsible for your trading decisions and risk management.
Release Notes
v1.0 — Initial invite-only release with: normalized ANEF core, Efficient/Inefficient zones, optional EMA trend context, 2nd-signal confirmation, raw & confirmed alerts, and optional price-panel markers via force_overlay.
QuantumFlowTraderQuantumFlowTrader
Adaptive Flow Visualizer with Multi-ATR Volatility Engine and Multi-EMA Clouds
Overview
QuantumFlowTrader is an adaptive market flow visualizer that integrates multiple EMA clouds, a session VWAP framework, and a tested multi-ATR volatility engine.
It is built to help traders interpret directional strength, institutional balance, and volatility synchronization across any asset and timeframe available on TradingView.
How It Works
1. Multi-EMA Clouds — Trend Structure and Flow Context
QuantumFlowTrader employs several EMA-based cloud layers to represent short-, medium-, and long-term structure simultaneously.
Each cloud adapts dynamically to price movement, revealing trend alignment and momentum stacking across depths of the market.
When all EMA clouds align in the same direction, the color gradient intensifies (green for bullish, red for bearish).
When structure conflicts, transparency increases, signaling mixed or transitional phases.
This multi-cloud approach allows traders to see structure, flow, and trend shifts at a glance, eliminating guesswork and highlighting transitions between trend and consolidation.
2. Session VWAP — Institutional Equilibrium and Reaction Zones
The Session VWAP represents the real-time mean price that institutional participants often reference.
QuantumFlowTrader enhances it with tested adaptive deviation envelopes, which highlight zones where price frequently reacts or pauses.
These deviation zones dynamically expand or contract with volatility, defining institutional fair-value regions and potential continuation or mean-reversion boundaries.
VWAP color automatically changes based on whether price trades above or below the equilibrium, giving immediate visual feedback on session bias.
3. QuantumFlow ATR Engine — Core Innovation
At the heart of QuantumFlowTrader is its proprietary multi-ATR engine, a deeply tested system that runs multiple ATR calculations and deviation layers at the same time.
Unlike single-metric approaches, this composite engine merges several ATRs with different sensitivities and deviations to identify synchronized volatility alignment.
When all ATR layers align bullish, a green up-arrow appears below the bar.
When all align bearish, a red down-arrow appears above the bar.
This configuration has been tested for many years across market types and volatility regimes.
Its goal is to detect moments when price action, volatility, and structure converge, which historically coincide with the start or continuation of strong directional flows.
This multi-ATR architecture is what makes QuantumFlowTrader genuinely unique among volatility-based systems.
Adaptability Across Assets and Timeframes
QuantumFlowTrader is universally adaptable:
Works effectively on any timeframe, from scalping to swing or position trading.
Performs consistently across Forex, Stocks, Indices, Commodities, and Crypto.
The internal algorithms automatically adjust their sensitivity and scaling to the selected chart’s behavior, ensuring smooth adaptation to different volatility environments.
This makes it suitable for traders who want a consistent analytical framework adaptable to both short-term and long-term contexts.
Customization and Alerts
EMA Clouds: adjust colors, transparency, and visibility for each structural layer.
VWAP Zones: toggle the equilibrium line and deviation visualization.
ATR Arrows: control arrow appearance and size for bullish/bearish events.
Dynamic Scaling: built-in adaptive multiplier auto-balances volatility response.
Built-in alerts:
Buy Condition: all ATR layers bullish and price above VWAP.
Sell Condition: all ATR layers bearish and price below VWAP.
These alerts identify situations where both directional flow and volatility alignment agree.
Originality and Value
QuantumFlowTrader is not a mash-up of public indicators.
Its originality lies in how it integrates:
Multiple EMA clouds for layered structural analysis.
Session VWAP with adaptive deviation zones to reveal institutional equilibrium and price reactions.
A proprietary multi-ATR engine that combines several ATR and deviation configurations simultaneously for volatility confirmation.
Together, these systems produce a unified, adaptive visualization of market structure, volatility, and flow — helping traders stay aligned with dynamic directional conditions while filtering out low-efficiency noise.
Example — Multi-Timeframe Integration (Optional Use)
While QuantumFlowTrader works effectively on any single chart, many traders use a three-screen workflow to synchronize trend, momentum, and execution:
1 Screen: 15-minute, Defines dominant trend direction (multi-EMA cloud + VWAP bias).
2 Screen: 5-minute, Confirms flow alignment and momentum coherence.
3 Screen: 1-minute, Executes entries when ATR arrows appear in the same direction as the 15-minute trend.
Example workflow:
1. Identify overall direction from 15m cloud and VWAP structure.
2. Wait for 5m confirmation.
3. Time entries on 1m using ATR arrows aligned with the higher timeframe.
This structure enhances precision and reduces counter-trend exposure.
Best Practices and Limitations
Always use proper risk management and forward testing before applying live.
Author’s Instructions:
To request access, please contact the author through the TradingView profile.
Rolling VWAP Indicator🧭 Rolling VWAP Indicator
Overview
The Rolling VWAP Signals indicator offers a clean, real-time view of price behavior relative to its volume-weighted fair value.
It extends the traditional VWAP concept by introducing a Rolling VWAP that continuously adapts over a dynamic window of recent bars, allowing traders to visualize evolving equilibrium zones without being limited to daily or session resets.
Additionally, it includes a Multi-Timeframe (MTF) Trend Bias Filter — designed not to recalculate VWAP across timeframes, but to confirm directional alignment with higher-timeframe momentum. This ensures that short-term signals are traded only when the broader bias agrees, reducing false reversals and improving signal quality.
VWAP vs Rolling VWAP
The Volume-Weighted Average Price (VWAP) is one of the most widely used institutional benchmarks.
It represents the average traded price weighted by volume — effectively the market’s “fair value.”
However, standard VWAP resets each day or session, losing continuity across time and ignoring cumulative order flow beyond that session.
The Rolling VWAP used here continuously recalculates over a moving window of the most recent bars:
• It adapts naturally to 24×7 markets such as crypto and indices.
• It reflects the current consensus of price and volume rather than starting from zero each morning.
• It acts as a dynamic fair-value magnet, showing when price deviates too far from equilibrium.
In short:
• Standard VWAP → resets daily, suited for intraday benchmarks.
• Rolling VWAP → continuous measure of short-term market balance and sentiment.
How It Works
1. Rolling VWAP Calculation
Uses the last N bars (auto-adjusted by timeframe: e.g., 288 for 5-min, 96 for 15-min, 24 for 1-hour) to compute the continuously weighted mean price:
RVWAP = \frac{\sum(Price \times Volume)}{\sum(Volume)}
2. VWAP Bands
Three deviation envelopes are plotted above and below RVWAP at user-defined percentages — visual zones of overbought/oversold or expansion/compression.
3. Signal Logic
• Buy Signal: price closes above the Rolling VWAP after being below (bullish reclaim).
• Sell Signal: price closes below the Rolling VWAP after being above (bearish rejection).
• Cooldown Period: blocks repeated signals within a set bar interval to avoid whipsaws.
4. MTF Trend Bias
• Pulls higher-timeframe trend direction (e.g., from 1-hour while trading 5-min).
• Signals are confirmed only when short-term cross aligns with higher-timeframe bias.
• This filter does not modify or recalculate the VWAP — it purely acts as a directional validator.
5. Session Filter
Restrict signal generation to defined trading hours and timezone (e.g., 09:30–13:00 NY). Its for US market positional traders.
6. Dashboard Panel
Displays system states: data sufficiency, session activity, VWAP bias, cooldown status, and Buy/Sell signal triggers.
Why It’s Useful
• Provides a real-time adaptive fair-value anchor instead of static daily VWAP.
• Highlights both trend continuation and mean-reversion zones.
• Integrates MTF bias confirmation to trade only in line with higher-timeframe flow.
• Eliminates clutter — no oscillators or complex models, just price vs volume behavior.
How to Use
1. Apply on any timeframe (5M–4H).
2. Observe Buy (green) and Sell (red) signals relative to the blue Rolling VWAP line.
3. Enable MTF Trend Bias to confirm signals with higher-timeframe direction.
4. Use deviation bands for identifying overextended conditions or pullback opportunities.
5. Monitor the dashboard for live system feedback.
Customization
• Auto or manual Rolling VWAP window.
• Adjustable band multipliers.
• MTF bias confirmation toggle.
• Session and timezone settings.
• Dashboard size and placement.
Conceptual Takeaway
The Rolling VWAP Simple Signals indicator combines the strength of volume-weighted mean reversion with higher-timeframe directional filtering, producing clear, context-aware entries and exits.
It answers two critical trader questions:
“Where is the real, volume-based fair value right now?”
“Does my signal align with the larger trend?”
⚠️ Disclaimer
This indicator is designed s olely for educational and analytical purposes . It does not constitute financial advice, investment recommendation, or trading signal service. Trading involves substantial risk and may not be suitable for all investors. Always perform your own analysis and use proper risk management before taking any trade. The author assumes no liability for financial losses resulting from the use or interpretation of this tool.
MPI Burst Regime by CoryP1990 – Quant ToolkitThe Microstructure Pressure Index (MPI) Burst Regime indicator detects rare, clustered volume bursts (Percentile + Z-score), converts them into an MPI (% of bursts over a rolling window), then signals and shades short-term up-pressure regimes only when structural filters (VWMA slope, Close > VWMA / Bollinger Upper) align. Includes Anchored VWAP end-detector to spot regime neutralization.
Microstructure Pressure Index (MPI) — Burst → Cluster → Regime
Why this is different
Most volume tools flag single high-volume bars. MPI requires repeated bursts within a cluster window and then promotes them into a persistent regime (MPI%). This reduces noise and signals regime or campaign-style pressure rather than one-off spikes.
How it works
Burst gate: bar is a candidate if volume ≥ Xth percentile of recent history and/or Z-score ≥ threshold (user selectable).
Clustering: require ≥ minBursts within a clusWin window to avoid lone spikes.
MPI: percent of burst bars within lenMPI via SMA% or EMA%.
RegimeUp: MPI ≥ mpiTrig + cluster OK + structural filters (VWMA slope, Close > VW/BB) + optional session filter.
End detector: optional Session/Anchored VWAP + pin/flat/slope/volume collapse + IIP neutralization triggers regime end.
Recommended settings
Start: 5-minute charts.
Auto-tune: ON (recommended) - script adapts windows to timeframe.
If you want more sensitivity: lower mpiTrig or shorten lenMPI.
To be stricter/rarer: raise pctVol and zThr, increase minBursts.
Inputs
Auto-adapt - toggle timeframe auto-tuning.
MPI window, Percentrank lookback, Volume percentile, Z-score lookback, Z threshold, MPI trigger
Bollinger (len, mult), VWMA length
Structural filters: Close>VW, Close>UB, VWMA slope requirement
Clustering: minBursts, clusWin and SMA% / EMA% choice for MPI
Visualization: markers, shading, cooldown, confirm on close
VWAP: Session / Anchored (auto/manual) and end-detector thresholds
Alerts
Use the built-in alerts: MPI Burst Trigger (Up), MPI Regime Active (Up), MPI Regime END (VWAP), Single Burst Bar. The indicator supports “Confirm on close” gating to avoid intrabar noise.
Example - (BYND, 5min)
On BYND, MPI flagged multiple clustered volume bursts hours before the vertical move and maintained a shaded up-regime as price rode the Bollinger upper band and VWMA sloped up. The regime reliably ended as VWMA flattened, volume collapsed and VWAP neutralized.
What you’re looking at (walkthrough):
Pre-run clustering: several green MPI markers appear before the large gap/rally... these are clustered percentile+Z bursts (not one-offs).
Regime persistence: once MPI% crosses the threshold and structural filters (VWMA slope, Close>VWMA) hold, the indicator shades the regime (lime). This shading persisted through the main thrust.
Price structure confirmation: price tracks the BB upper band during the push - classic accumulation → expansion behavior.
Regime END: after the top, VWMA slopes down, volume collapses and VWAP conditions trend toward neutralization - end detector flags the regime end.
Settings used in this demo (recommended start):
Chart: 5-min (demo)
Auto-Tune: ON (recommended)
lenMPI = 60, lenRank = 300, pctVol = 98, zLen = 300, zThr = 1.96, mpiTrig = 25
minBursts = 3, clusWin = 10, mpiMode = SMA%
confirmOnClose = true, session only = true for the screenshot
Why this matters:
Most volume tools flag single prints. MPI requires repeated bursts within a window and converts that density into an MPI% regime. That reduces false positives and surfaces regime or campaign-style pressure you can act upon or study.
Part of the Quant Toolkit — transparent, open-source indicators for modern quantitative analysis. Built by CoryP1990.
KATIK Anchor Levels1. This Pine Script, "KATIK Anchor Levels", automatically identifies recent swing highs and lows to define an active anchor zone on the chart.
2. It accepts three user inputs: `leftBars` and `rightBars` (pivot sensitivity) and `lookback` (how far to consider anchors).
3. Pivot points are detected with `ta.pivothigh()` and `ta.pivotlow()`, which confirm a pivot after the specified left/right bars.
4. The most recent confirmed pivot values are saved into `lastHigh` and `lastLow` (persisting across bars).
5. The script plots the recent swing high as a red line and the recent swing low as a green line for immediate visual reference.
6. It shades the area between those two lines with a yellow fill to highlight the current **anchor zone**.
7. Logical conditions `insideZone`, `breakAbove`, and `breakBelow` determine whether price is neutral, bullish, or bearish relative to the anchor.
8. Three `alertcondition()` calls let you create alerts for price entering the zone, breaking above, or breaking below the anchor.
9. Best used on intraday (15–60 min) or higher timeframes with `leftBars/rightBars` tuned (smaller values = more pivots, larger = stronger pivots).
10. Limitations: pivots require sufficient bars to confirm (so anchors can lag) and the simple method doesn’t use volume/VWAP—adjust sensitivity or combine with other indicators for higher confidence.
ZenAlgo - Boxer StocksThis indicator plots multi-period Volume-Weighted Average Price (VWAP) ranges and deviation bands across several timeframes — specifically weekly, monthly, quarterly, semi-annual, and yearly. It is designed to visualize how price evolves relative to statistically weighted value areas within each period, based on both traded price and volume distribution.
Each timeframe layer is drawn independently, using its own cumulative VWAP and standard deviation calculation, and displayed as horizontal ranges aligned precisely with calendar periods. This structure allows the chart to show where price currently trades relative to past value zones and how each higher-timeframe VWAP acts as a dynamic reference for mean reversion or continuation.
Calculation Logic
1. Source and Base Inputs
The indicator uses the average of high, low, and close as its price source.
Stocks reset daily at session open.
2. VWAP and Deviation Computation
For each active timeframe, it accumulates the product of price and volume and divides it by cumulative volume, forming a continuously updated VWAP within that period.
The dispersion of price around VWAP is measured through a volume-weighted variance, converted to standard deviation.
These values form symmetrical bands around the VWAP (±1σ, ±2σ, etc.), describing the statistically typical price spread.
3. Range Drawing and Persistence
When a new period begins (e.g., a new week or month), the script finalizes the previous VWAP and deviation values, fixes them to time coordinates representing the full duration of that completed period, and draws corresponding lines or boxes across the entire range.
The user can control how many historical periods remain visible, ensuring performance and clarity even on high-frequency charts.
Each band can be toggled independently (for example ±1, ±2, ±3 deviations), and colors are adjustable per timeframe.
4. Adaptive Time Anchors
The start of each timeframe is aligned with calendar boundaries.
For stocks, the start time aligns with 9:30 New York time to coincide with market open for NYSE.
Each new anchor triggers a reset of cumulative data and creation of a new VWAP range.
5. Visualization Structure
The weekly layer is drawn first and can optionally display live VWAP bands extending backward for a user-defined number of weeks.
Monthly, quarterly, semi-annual, and yearly layers use the same computation principle but with independent accumulation windows.
The central VWAP line is dashed, while outer deviation levels are drawn as dotted or solid lines depending on their multiplier.
Boxes are rendered for key deviation intervals (e.g., ±2σ) to highlight broader value zones.
Interpretation
The VWAP represents the mean price weighted by traded volume for the given period.
Deviation bands describe statistically typical distance from that mean; outer bands mark less frequent extremes.
When price remains within ±1σ or ±2σ, it suggests balance around fair value.
Repeated touches or breaks beyond outer deviations indicate expansion or compression of volatility relative to prior periods.
Overlaps of VWAPs from multiple timeframes reveal multi-period confluence zones, useful for observing where long-term and short-term value agree or diverge.
Recommended Timeframes by Range Type
Weekly Range
Recommended timeframe: 30m to 12h
Suggested options: 30m, 1h, 2h, 3h, 4h, 6h, 8h, 12h
Using lower timeframes (like 5m) is technically possible, but higher ones provide smoother visualization and better readability.
Monthly Range
Recommended timeframe: 1h to 1D
Suggested options: 1h, 2h, 3h, 4h, 6h, 8h, 12h, 1D
Lower timeframes such as 30m may not display the full monthly range due to TradingView’s bar limits, so use higher TFs for complete coverage.
Quarterly Range
Recommended timeframe: 4h to 1W
Suggested options: 4h, 6h, 8h, 12h, 1D, 1W
Quarterly ranges benefit from higher timeframes to ensure that enough historical data is visible without exceeding chart limits.
Semi-Annual Range
Recommended timeframe: 12h to 1M
Suggested options: 12h, 1D, 1W, 1M
Lower timeframes would require too many bars to load a full six-month range; higher TFs offer a clearer overview.
Yearly Range
Recommended timeframe: 1D to 1M or higher
Suggested options: 1D, 1W, 1M
Yearly ranges often cannot display correctly on low timeframes (e.g. 1h) because of TradingView’s maximum bar limits — for instance, five years of 1h data exceeds 40,000 bars. Use higher TFs for accurate rendering.
Added Value Compared to Common Free VWAP Indicators
Incorporates five independent timeframes simultaneously (week, month, quarter, half-year, year) with exact calendar anchoring and timezone handling.
Calculates volume-weighted deviation for each layer, maintaining consistent statistical scale across assets.
Provides historical box persistence , allowing comparison of completed VWAP structures instead of only current running lines.
Enables selective visibility, bandwidth control, and precise visual differentiation through adjustable colors and line weights.
Limitations and Notes
The indicator does not generate trading signals. It is purely analytical and descriptive.
On very low timeframes or illiquid assets, deviation values may fluctuate if volume data is inconsistent.
Historical boxes are approximate in length for months with fewer than 31 days; this simplification has negligible effect on interpretation.
High visual density may occur when enabling many deviations or timeframes at once; users should limit visible history for performance.
Best Usage Practices
Apply on intraday charts (5–240 min) to study how price interacts with weekly or higher-timeframe VWAP zones.
Observe convergence of VWAPs from multiple periods to locate significant equilibrium levels.
Use outer deviations to frame potential exhaustion or re-entry zones rather than directional predictions.
Combine with independent volume- or structure-based analysis for context.
Multi-Anchor VWAP | Trade Symmetry🧩 Multi-Anchor VWAP
Description:
Dynamic VWAP anchored to Session, Week, Month, Quarter, and Year — all in one view.
Full Description:
This indicator plots multiple VWAPs (Volume-Weighted Average Prices) simultaneously — each anchored to a different time period:
Session, Week, Month, Quarter, and Year.
💡 Ideal for traders who track institutional mean reversion and liquidity zones across multiple timeframes.
Features
✅ Session, Weekly, Monthly, Quarterly, and Yearly Anchored VWAPs
✅ Independent color and visibility controls for each anchor
✅ Adjustable label position and size
✅ Option to hide VWAPs on Daily or higher charts
✅ Clean and efficient performance
This tool helps you visualize volume-weighted mean levels where price often reacts — offering a clear map of bias and equilibrium across all major time horizons.
✝️📈📉☢️🔱NUKE is a multi-ticker signal indicator, optimized for intraday futures and stocks trading.
To use: Add to a multi-timeframe charts (e.g., 1m, 5m, 15m), select up to 5 tickers (e.g., MNQ, MES), and set an anchor mode (daily, weekly, monthly, or manual) for session resets. Enable/disable signal components like AVWAP, Price Stoch, VWEMA crosses, ADX, and BB in settings.
For trading: Monitor the dynamic table for recent LONG (L↑) or SHORT (S↓) entries with strength ☢️ (1 to 6, higher indicates stronger confluence). Enter positions in the signal direction on the chart ticker or selected ones, using multi-timeframe confirmation (e.g., anchor to daily while trading on seconds/minutes).
Apply proper risk management, such as ATR-based stops, and test in demo mode.
Volume Weighted Average PriceThis indicator provides an implementation of the Volume Weighted Average Price (VWAP), extended with layered standard deviation bands that decompose total market volatility relative to the VWAP anchor period.
Key Features:
Volatility Decomposition: The indicator's primary feature is its ability to separate volatility, controlled by the 'Estimate Bar Statistics' option.
Standard Mode (Estimate Bar Statistics = OFF): Plots a single set of bands representing the standard deviation of the Source price relative to the VWAP.
Decomposition Mode (Estimate Bar Statistics = ON): The indicator uses a statistical model ('Estimator') to calculate within-bar volatility. (Assumption: In this mode, the Source input is ignored, and an estimated mean for each bar is used instead). This mode displays two sets of bands:
Inner Bands: Show only the contribution of the 'between-bar' volatility.
Outer Bands: Show the total volatility (the sum of between-bar and within-bar components).
Periodic & Customizable Anchor: The VWAP calculation is session-based and resets at the beginning of a new period. The anchor timeframe (Anchor Timeframe) can be detected automatically (e.g., 'Session', 'Week') or specified manually.
Weighting Mechanism: The indicator has two levels of weighting:
The baseline is always a VWAP (Volume-Weighted Average Price).
The Volume weighted input additionally applies volume weighting to the volatility (standard deviation) calculation for the bands.
Multi-Timeframe (MTF) Engine: The indicator includes an MTF conversion block. When a Higher Timeframe (HTF) is selected, advanced options become available: Fill Gaps handles data gaps, and Wait for timeframe to close prevents repainting by ensuring the indicator only updates when the HTF bar closes.
Integrated Alerts: Includes a full set of built-in alerts for the source price crossing over or under the central VWAP line and the outermost calculated volatility band.
DISCLAIMER
For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset.
Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk.
No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability.
No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator.
Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
FTI - AnalyticaFlow Trend Index (FTI) – Analytica
The Flow Trend Index (FTI) – Analytica combines momentum, trend, and volatility into a data-driven analytical view — displayed directly on your chart and candlesticks.
It builds on the FTI-Core foundation by revealing the numerical values behind each visual element — turning market flow, into measurable insight.
Analytica shows how strongly the market is moving (flow), where its adaptive baseline lies (trend), and how far price has stretched from equilibrium (volatility).
This deeper layer helps analysts interpret when the market is gaining strength, losing momentum, or shifting direction, and especially when conditions are overbought or oversold.
• Smoothed RSI (Heikin-Ashi Powered)
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Transforms RSI into color-coded candles with visible RSI values.
Heikin-Ashi smoothing filters noise, exposing authentic momentum and exhaustion levels.
-See and measure momentum simultaneously.
• McGinley Dynamic Line
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Adaptive moving average that adjusts speed to market volatility.
In Analytica, you can view the exact McGinley value and Δ % distance from price, providing a real-time sense of stretch or compression.
→ Quantifies rhythm between trend and pause.
• FIBB Cloud (Fibonacci ATR Bands)
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• Analytical Enhancements
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RSI Number Overlay on each candle (live values)
Analytical Table showing RSI · McGinley · Δ % vs McGinley
Custom Advanced RSI Ranges for precise zone control
Adjustable themes, text size, and line style
See it. Measure it. Understand it.
In short:
FTI-Analytica merges visual flow and analytical depth.
It reveals the true numerical forces behind each move —
FTI – Analytica shows the true numerical information behind each Data point.
No signals or alerts are generated — the indicator is intended solely for visualization, study, and educational purposes.
© Zyro Trades. All rights reserved.
Zyro™ and FTI™ are unregistered trademarks of Zyro Trades.
FTI - CoreFlow Trend Index (FTI) - Core
The Flow Trend Index (FTI) combines momentum, trend, and volatility into a single adaptive visual layer.
It measures how strongly the market is moving (flow), where its fair-value baseline lies (trend), and showing signs of exhaustion.
This unified view helps analysts — especially beginners — instantly recognize when the market is gaining strength, losing momentum, or shifting direction, and especially when conditions are overbought or oversold.
- Smoothed RSI (Heikin-Ashi Powered)
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Transforms RSI into color-coded candles. Heikin-Ashi smoothing filters noise, revealing true momentum waves and exhaustion points — less lag, more authenticity.
→ See momentum, not just numbers.
- McGinley Dynamic Line
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An adaptive moving average that breathes with market speed — faster in rallies, slower in chop. Zyro’s version is tuned for volatile assets like BTC or NAS100.
→ Tracks rhythm between trend and pause.
- FIBB Cloud (Fibonacci ATR Bands)
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Volatility envelope built from ATR × Fibonacci ratios. Expands and contracts with real market energy, mapping zones of pressure and release.
→ Shows where price stretches or resets.
In short:
FTI-Core visualizes market flow — blending momentum, trend, and volatility into one adaptive system.
No signals or alerts are generated — the indicator is intended solely for visualization, study, and educational purposes.
© Zyro Trades. All rights reserved.
Zyro™ and FTI™ are unregistered trademarks of Zyro Trades.
Aggregated VWAP D/W/M/Q/Y multi exchange aggregated vwap with standard deviation bands
best used with 3 perp + 3 spot for each ticker
Simple VWAP + BandsSimple VWAP + Bands
A clean and customizable VWAP (Volume Weighted Average Price) indicator with standard deviation bands and RTH (Regular Trading Hours) session support.
Features:
- VWAP Line: Volume-weighted average price calculation
- Three Standard Deviation Bands: Configurable bands at 1σ, 2σ, and 3σ levels (above and below VWAP)
- RTH Session Support: Option to calculate VWAP only during regular trading hours
- Customizable Session Times: Configure your own trading session hours and timezone
- Clean Visualization: Line breaks between sessions prevent messy connections across non-trading periods
- Toggle Bands: Show/hide individual standard deviation bands as needed
Use Cases:
- Identify overbought/oversold conditions relative to volume-weighted price
- Track price deviation from VWAP during trading sessions
- Support and resistance levels based on standard deviations
- Mean reversion trading strategies
VWAP Composites📊 VWAP Composite - Advanced Multi-Period Volume Weighted Average Price Indicator
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🎯 OVERVIEW
VWAP Composite is an advanced volume-weighted average price (VWAP) indicator that goes beyond traditional single-period VWAP calculations by offering composite multi-period analysis and unprecedented customization. This indicator solves a common problem traders face: traditional VWAP resets at arbitrary intervals (session start, day, week), but significant price action and volume accumulation often spans multiple periods. VWAP Composite allows you to anchor VWAP calculations to any timeframe—or combine multiple periods into a single composite VWAP—giving you a true representation of average price weighted by volume across the exact periods that matter to your analysis.
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⚙️ HOW IT WORKS - CALCULATION METHODOLOGY
📌 CORE VWAP CALCULATION
The indicator calculates VWAP using the standard volume-weighted formula:
• Typical Price = (High + Low + Close) / 3
• VWAP = Σ(Typical Price × Volume) / Σ(Volume)
This calculation is performed across user-defined time periods, ensuring each bar's contribution to the average is proportional to its trading volume.
📌 STANDARD DEVIATION BANDS
The indicator calculates volume-weighted standard deviation to measure price dispersion around the VWAP:
• Variance = Σ / Σ(Volume)
• Standard Deviation = √Variance
• Upper Band = VWAP + (StdDev × Multiplier)
• Lower Band = VWAP - (StdDev × Multiplier)
These bands help identify overbought/oversold conditions relative to the volume-weighted mean, with high-volume price excursions having greater impact on band width than low-volume moves.
📌 COMPOSITE PERIOD METHODOLOGY (Auto Mode)
Unlike traditional VWAP that resets at fixed intervals, Auto Mode creates composite VWAPs by combining the current period with N previous periods:
• Period Span = 1: Current period only (standard VWAP behavior)
• Period Span = 2: Current period + 1 previous period combined
• Period Span = 3: Current period + 2 previous periods combined
• And so on...
Example: A 3-period Weekly composite VWAP calculates from the start of 2 weeks ago through the current week's end, creating a single VWAP that represents 21 days of continuous price and volume data. This provides context about where price stands relative to the volume-weighted average over multiple weeks, not just the current week.
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🔧 KEY FEATURES & ORIGINALITY
✅ DUAL OPERATING MODES
1️⃣ MANUAL MODE (5 Independent VWAPs)
Define up to 5 separate VWAP calculations with custom start/end times:
• Perfect for anchoring VWAP to specific events (earnings, Fed announcements, major reversals)
• Each VWAP has independent color settings for lines and deviation band backgrounds
• Individual control over calculation extension and visual extension (explained below)
• Useful for tracking multiple institutional accumulation/distribution zones simultaneously
2️⃣ AUTO MODE (Composite Period VWAP)
Automatically calculates VWAP across combined time periods:
• Supported periods: Daily, Weekly, Monthly, Quarterly, Yearly
• Configurable period span (1-20 periods)
• Always up-to-date, recalculates on each new bar
• Ideal for systematic analysis across consistent timeframes
✅ DUAL EXTENSION SYSTEM (Manual Mode Innovation)
Most VWAP indicators only offer "on/off" for extending calculations. This indicator provides two distinct extension options:
🔹 EXTEND CALCULATION TO CURRENT BAR
When enabled, continues including new bars in the VWAP calculation after the defined end time. The VWAP value updates dynamically as new volume enters the market.
Use case: You anchored VWAP to a major low 3 weeks ago. You want the VWAP to continue evolving with new volume data to track ongoing institutional positioning.
🔹 EXTEND VISUAL LINE ONLY
When enabled (and calculation extension is disabled), projects the "frozen" VWAP value forward as a reference line. The VWAP value remains fixed at what it was at the end time, but the line and deviation bands visually extend to current price.
Use case: You want to see how price is behaving relative to the VWAP that existed at a specific point in time (e.g., "Where is price now vs. the 5-day VWAP that existed at last Friday's close?").
This dual system gives you unprecedented control over whether you're tracking a "living" VWAP that incorporates new data or using historical VWAP levels as static reference points.
✅ CUSTOMIZABLE STANDARD DEVIATION BANDS
• Adjustable multiplier (0.1 to 5.0)
• Independent background colors with opacity control for each VWAP
• Dashed band lines for easy visual distinction from main VWAP
• Bands extend when visual extension is enabled, maintaining zone visibility
✅ COMPREHENSIVE LABELING SYSTEM
Each VWAP displays:
• Current VWAP value
• Upper deviation band value (High)
• Lower deviation band value (Low)
• Extension status indicator (Calc Extended / Visual Extended)
• Color-coded for quick identification
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📖 HOW TO USE THIS INDICATOR
🎯 SCENARIO 1: EVENT-ANCHORED VWAP (Manual Mode)
Use case: A stock gaps down 15% on earnings and you want to track where institutions are positioning during the recovery.
Setup:
1. Switch to Manual Mode
2. Enable VWAP 1
3. Set Start Time to the earnings gap bar
4. Set End Time to current time (or leave far in future)
5. Enable "Extend Calculation to Current Bar"
6. Watch how price respects the VWAP as a dynamic support/resistance
Interpretation:
• Price above VWAP = buyers in control since the event
• Price testing VWAP from above = potential support
• Volume-weighted standard deviation bands show normal price range
• Price outside bands = potential exhaustion/mean reversion setup
🎯 SCENARIO 2: MULTI-WEEK INSTITUTIONAL ACCUMULATION ZONE (Auto Mode)
Use case: You trade swing setups and want to identify where institutions have been accumulating over the past 3 weeks.
Setup:
1. Switch to Auto Mode
2. Select "Weekly" period type
3. Set Period Span to 3
4. Enable standard deviation bands
Interpretation:
• 3-week composite VWAP shows the true average institutional entry
• Price bouncing off VWAP repeatedly = strong support (institutions defending their average)
• Price breaking below VWAP on high volume = potential distribution
• Deviation bands contracting = consolidation; expanding = volatility increase
🎯 SCENARIO 3: COMPARING MULTIPLE TIME HORIZONS (Manual Mode)
Use case: You want to see short-term vs medium-term vs long-term VWAP alignments.
Setup:
1. Switch to Manual Mode
2. VWAP 1: Last 5 trading days (blue)
3. VWAP 2: Last 10 trading days (orange)
4. VWAP 3: Last 20 trading days (purple)
5. Enable "Extend Calculation" for all
6. Set different background colors for visual separation
Interpretation:
• All VWAPs aligned upward = strong trend across all timeframes
• Price between VWAPs = finding equilibrium between different trader timeframes
• Short-term VWAP crossing long-term VWAP = momentum shift
• Price rejecting at higher-timeframe VWAP = that timeframe's traders defending their average
🎯 SCENARIO 4: HISTORICAL VWAP REFERENCE LEVELS (Manual Mode)
Use case: You want to see where the 1-month VWAP was at each month-end as static reference levels.
Setup:
1. Switch to Manual Mode
2. VWAP 1: Set to last month's start/end dates
3. VWAP 2: Set to 2 months ago start/end dates
4. VWAP 3: Set to 3 months ago start/end dates
5. Disable "Extend Calculation"
6. Enable "Extend Visual Line Only"
Interpretation:
• Each VWAP represents the volume-weighted average for that complete month
• These become static support/resistance levels
• Price returning to old monthly VWAPs = institutional memory/gap fill behavior
• Useful for identifying longer-term value areas
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🎨 CUSTOMIZATION OPTIONS
GENERAL SETTINGS
• Show/hide labels
• Line style: Solid, Dashed, or Dotted
• Standard deviation multiplier (impacts band width)
• Toggle standard deviation bands on/off
MANUAL MODE (Per VWAP)
• Custom start and end times
• Line color picker
• Background color picker (with transparency control)
• Extend calculation option
• Extend visual option
• Show/hide individual VWAPs
AUTO MODE
• Period type selection (Daily/Weekly/Monthly/Quarterly/Yearly)
• Period span (1-20 periods)
• Line color
• Background color (with transparency control)
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💡 TRADING APPLICATIONS
✓ Mean Reversion: Use deviation bands to identify stretched prices likely to return to VWAP
✓ Trend Confirmation: Price sustained above VWAP = bullish bias; below = bearish bias
✓ Support/Resistance: VWAP often acts as dynamic S/R, especially on higher volume periods
✓ Institutional Positioning: Multi-day/week VWAPs show where large players have established positions
✓ Entry Timing: Wait for pullbacks to VWAP in trending markets
✓ Stop Placement: Use VWAP ± standard deviation as volatility-adjusted stop levels
✓ Breakout Confirmation: Breakouts from consolidation with price reclaiming VWAP = stronger signal
✓ Multi-Timeframe Analysis: Compare short vs long-period VWAPs to gauge momentum alignment
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⚠️ IMPORTANT NOTES
• The indicator redraws on each bar to maintain accurate visual representation (uses `barstate.islast`)
• Maximum lookback is limited to 5000 bars for performance optimization
• Time range calculations work across all timeframes but are most effective on intraday to daily charts
• Standard deviation bands assume volume-weighted distribution; extreme events may violate assumptions
• Auto mode always calculates to current bar; use Manual mode for fixed historical periods
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This indicator is open-source. Feel free to examine the code, learn from it, and adapt it to your needs.
VipPro VWAP Momentum Tracker — Auto Buy/Sell + Fibonacci TPVipPro VWAP Momentum Tracker is an auxiliary tool designed to complement the main VipPro Realtime indicator.
It is primarily used on lower timeframes to filter false entries and refine intraday precision.
The script combines VWAP (Volume Weighted Average Price) with short-term momentum analysis and Fibonacci-based target projection.
It automatically generates two technical profit levels derived from Fibonacci extensions — 1.27 and 1.61 — providing a structured approach to short-term trade management.
VWAP acts as the dynamic reference line (orange).
When price is above VWAP, it reflects buying pressure and potential long setups.
When price is below VWAP, it suggests selling pressure and potential short opportunities.
The VWAP represents the market’s fair-value zone based on both price and volume, making it one of the most reliable metrics for identifying institutional positioning and volume-weighted trend direction.
This tool can be used independently or in combination with VipPro Realtime, especially when confirming signals from the upper dashboard that summarizes:
Market trend
Liquidity conditions
Momentum strength
RSI and volatility context
Overbought/Oversold signals
Results may vary depending on the trader’s experience and ability to interpret market structure in conjunction with VWAP behavior and momentum alignment.
Statistical Price Deviation Index (MAD/VWMA)SPDI is a statistical oscillator designed to detect potential price reversal zones by measuring how far price deviates from its typical behavior within a defined rolling window.
Instead of using momentum or moving averages like traditional indicators, SPDI applies robust statistics - a rolling median and Mean Absolute Deviation (MAD) - to calculate a normalized measure of price displacement. This normalization keeps the output bounded (from −1 to +1 by default), producing a stable and consistent oscillator that adapts to changing volatility conditions.
The second line in SPDI uses a Volume-Weighted Moving Average (VWMA) instead of a simple price median. This creates a complementary oscillator showing statistically weighted deviations based on traded volume. When both oscillators align in their extremes, strong confluence reversal signals are generated.
How It Works
For each bar, SPDI calculates the median price of the last N bars (default 100).
It then measures how far the current bar’s midpoint deviates from that rolling median.
The Mean Absolute Deviation (MAD) of those distances defines a “normal” range of fluctuation.
The deviation is normalized and compressed via a tanh mapping, keeping the oscillator in fixed boundaries (−1 to +1).
The same logic is applied to the VWMA line to gauge volume-weighted deviations.
How to Use
The blue line (Price MAD) represents pure price deviation.
The green line (VWMA Disp) shows the volume-weighted deviation.
Overbought (red) zones indicate statistically extreme upward deviation -> potential short-term overextension.
Oversold (green) zones indicate statistically extreme downward deviation -> potential rebound area.
Confluence signals (both lines hitting the same extreme) often mark strong reversal points.
Settings Tips
Lookback length controls how much historical data defines “normal” behavior. Larger = smoother, smaller = more sensitive.
Smoothing (RMA length) can reduce noise without changing the overall statistical logic.
Output scale can be set to either −1..+1 or 0..100, depending on your visual preference.
Alerts and color fills are fully customizable in the Style tab.
Summary:
SPDI transforms raw price and volume data into a statistically bounded deviation index. When both Price MAD and VWMA Disp reach joint extremes, it highlights probable market turning points - offering traders a clean, data-driven way to spot potential reversals ahead of time.
Vip Pro Realtime VipPro Realtime — Technical Overview
VipPro Realtime is a multi-layer analytical indicator designed for real-time liquidity and momentum tracking across all markets on TradingView.
It integrates price structure, volatility, and volume dynamics into a unified dashboard that allows traders to visually interpret market phases in seconds.
🔹 Core Components
Directional Framework (Trend Logic)
VipPro Realtime uses a dual-EMA structure to determine short- and mid-term momentum alignment.
When both layers confirm, the background color changes to visualize the prevailing trend:
🟢 Green → bullish momentum
🔴 Red → bearish momentum
⚪ Gray → corrective or neutral phase
Liquidity & Volume Mapping
The script evaluates volume pressure relative to its moving average and applies a dynamic volume-to-volatility ratio.
This helps detect where actual market participation occurs instead of relying only on price movement.
RSI & Volatility Filters
RSI and ATR values are normalized to reduce noise.
The indicator highlights overbought/oversold conditions and provides contextual volatility levels to help avoid false signals in low-liquidity environments.
VWAP Integration
A VWAP baseline defines fair-value zones and helps identify extension points for potential mean reversion setups.
Open Interest Layer (OI Monitor)
When available, the indicator requests aggregated open interest data from related perpetual markets and calculates short-term deltas to visualize:
📈 Increasing OI with rising price → potential long buildup
📉 Increasing OI with falling price → potential short buildup
⚠️ Decreasing OI → profit-taking or liquidation reduction
Wave & Fibonacci Targeting
The tool automatically identifies impulsive and corrective phases and projects short-term expansion levels (1.27 and 1.61) based on recent swings.
Dashboard Interface
The top-center table summarizes all key parameters:
Trend direction
Liquidity state
Momentum strength
Volatility context
RSI condition
Signal status
OI condition
🔹 Use Case
VipPro Realtime is built for traders who need quantitative confirmation of price behavior rather than subjective pattern recognition.
It helps interpret when a movement is supported by real liquidity inflow/outflow, allowing better timing for entries and exits across intraday or swing strategies.
🔹 Compatibility
✅ Works on all TradingView timeframes
✅ Applicable to crypto, forex, stocks, and commodities
✅ Requires no external data feeds or third-party services
🔹 Important Note
This script does not provide financial advice or guaranteed results.
Its purpose is to enhance situational awareness by merging multiple layers of market data (trend, volume, momentum, and OI) into one simplified view.
Traders should always confirm signals with their own risk management and market understanding.
Feel free to ask any questions at amr@mobeline.de .
Pivot Regime Anchored VWAP [CHE] Pivot Regime Anchored VWAP — Detects body-based pivot regimes to classify swing highs and lows, anchoring volume-weighted average price lines directly at higher highs and lower lows for adaptive reference levels.
Summary
This indicator identifies shifts between top and bottom regimes through breakouts in candle body highs and lows, labeling swing points as higher highs, lower highs, lower lows, or higher lows. It then draws anchored volume-weighted average price lines starting from the most recent higher high and lower low, providing dynamic support and resistance that evolve with volume flow. These anchored lines differ from standard volume-weighted averages by resetting only at confirmed swing extremes, reducing noise in ranging markets while highlighting momentum shifts in trends.
Motivation: Why this design?
Traders often struggle with static reference lines that fail to adapt to changing market structures, leading to false breaks in volatile conditions or missed continuations in trends. By anchoring volume-weighted average price calculations to body pivot regimes—specifically at higher highs for resistance and lower lows for support—this design creates reference levels tied directly to price structure extremes. This approach addresses the problem of generic moving averages lagging behind swing confirmations, offering a more context-aware tool for intraday or swing trading.
What’s different vs. standard approaches?
- Baseline reference: Traditional volume-weighted average price indicators compute a running total from session start or fixed periods, often ignoring price structure.
- Architecture differences:
- Regime detection via body breakout logic switches between high and low focus dynamically.
- Anchoring limited to confirmed higher highs and lower lows, with historical recalculation for accurate line drawing.
- Polyline rendering rebuilds only on the last bar to manage performance.
- Practical effect: Charts show fewer, more meaningful lines that start at swing points, making it easier to spot confluences with structure breaks rather than cluttered overlays from continuous calculations.
How it works (technical)
The indicator first calculates the maximum and minimum of each candle's open and close to define body highs and lows. It then scans a lookback window for the highest body high and lowest body low. A top regime triggers when the body high from the lookback period exceeds the window's highest, and a bottom regime when the body low falls below the window's lowest. These regime shifts confirm pivots only when crossing from one state to the other.
For top pivots, it compares the new body high against the previous swing high: if greater, it marks a higher high and anchors a new line; otherwise, a lower high. The same logic applies inversely for bottom pivots. Anchored lines use cumulative price-volume products and volumes from the anchor bar onward, subtracting prior cumulatives to isolate the segment. On pivot confirmation, it loops backward from the current bar to the anchor, computing and storing points for the line. New points append as bars advance, ensuring the line reflects ongoing volume weighting.
Initialization uses persistent variables to track the last swing values and anchor bars, starting with neutral states. Data flows from regime detection to pivot classification, then to anchoring and point accumulation, with lines rendered globally on the final bar.
Parameter Guide
Pivot Length — Controls the lookback window for detecting body breakouts, influencing pivot frequency and sensitivity to recent action. Shorter values catch more pivots in choppy conditions; longer smooths for major swings. Default: 30 (bars). Trade-offs/Tips: Min 1; for intraday, try 10–20 to reduce lag but watch for noise; on daily, 50+ for stability.
Show Pivot Labels — Toggles display of text markers at swing points, aiding quick identification of higher highs, lower highs, lower lows, or higher lows. Default: true. Trade-offs/Tips: Disable in multi-indicator setups to declutter; useful for backtesting structure.
HH Color — Sets the line and label color for higher high anchored lines, distinguishing resistance levels. Default: Red (solid). Trade-offs/Tips: Choose contrasting hues for dark/light themes; pair with opacity for fills if added later.
LL Color — Sets the line and label color for lower low anchored lines, distinguishing support levels. Default: Lime (solid). Trade-offs/Tips: As above; green shades work well for bullish contexts without overpowering candles.
Reading & Interpretation
Higher high labels and red lines indicate potential resistance zones where volume weighting begins at a new swing top, suggesting sellers may defend prior highs. Lower low labels and lime lines mark support from a fresh swing bottom, with the line's slope reflecting buyer commitment via volume. Lower highs or higher lows appear as labels without new anchors, signaling possible range-bound action. Line proximity to price shows overextension; crosses may hint at regime shifts, but confirm with volume spikes.
Practical Workflows & Combinations
- Trend following: Enter longs above a rising lower low anchored line after higher low confirmation; filter with rising higher highs for uptrends. Use line breaks as trailing stops.
- Exits/Stops: In downtrends, exit shorts below a higher high line; set aggressive stops above it for scalps, conservative below for swings. Pair with momentum oscillators for divergence.
- Multi-asset/Multi-TF: Defaults suit forex/stocks on 1H–4H; on crypto 15M, shorten length to 15. Scale colors for dark themes; combine with higher timeframe anchors for confluence.
Behavior, Constraints & Performance
Closed-bar logic ensures pivots confirm after the lookback period, with no repainting on historical bars—live bars may adjust until regime shift. No higher timeframe calls, so minimal repaint risk beyond standard delays. Resources include a 2000-bar history limit, label/polyline caps at 200/50, and loops for historical point filling (up to current bar count from anchor, typically under 500 iterations). Known limits: In extreme gaps or low-volume periods, anchors may skew; lines absent until first pivots.
Sensible Defaults & Quick Tuning
Start with the 30-bar length for balanced pivot detection across most assets. For too-frequent pivots in ranges, increase to 50 for fewer signals. If lines lag in trends, reduce to 20 and enable labels for visual cues. In low-volatility assets, widen color contrasts; test on 100-bar history to verify stability.
What this indicator is—and isn’t
This is a structure-aware visualization layer for anchoring volume-weighted references at swing extremes, enhancing manual analysis of regimes and levels. It is not a standalone signal generator or predictive model—always integrate with broader context like order flow or news. Use alongside risk management and position sizing, not as isolated buy/sell triggers.
Many thanks to LuxAlgo for the original script "McDonald's Pattern ". The implementation for body pivots instead of wicks uses a = max(open, close), b = min(open, close) and then highest(a, length) / lowest(b, length). This filters noise from the wicks and detects breakouts over/under bodies. Unusual and targeted, super innovative.
Disclaimer
The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context.
Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved.
By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk.
Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts.
Best regards and happy trading
Chervolino
ORBs, EMAs, SMAs, AVWAPThis is an update to a previously published script. In short the difference is the added capability to adjust the length of EMAs. Also added 3 customizable SMAs. Enjoy! Let me know what you think of the script please. This is only second one I have ever done. Through practice and people like @LuxAlgo and other Pinescripters this isn't possible. Tedious hrs with ChatGPT to correct nuances, who doesnt seem to learn from (insert pronoun) mistakes
This all-in-one indicator combines key institutional tools into a unified framework for intraday and swing trading. Designed for traders who use multi-session analysis and dynamic levels, it automatically maps out global session breakouts, moving averages, and volume-weighted anchors with high clarity.
Features include:
🕓 Tokyo, London, and New York ORBs (Opening Range Breakouts) — 30-minute configurable range boxes that persist until the next New York open.
📈 Anchored VWAP with Standard Deviation Bands — dynamically anchorable to session, week, or month for institutional-grade price tracking.
📊 Exponential Moving Averages (9, 20, 113, 200) — for short-, mid-, and long-term momentum structure.
📉 Simple Moving Averages (20, 50, 100) — fully customizable lengths, colors, and visibility toggles for trend confirmation.
🏁 Prior High/Low Levels (PDH/PDL, PWH/PWL, PMH/PML) — automatically plotted from previous day, week, and month, with labels placed at each session’s midpoint.
🎛️ Session-Aligned Time Logic — all time calculations use New York session anchors with DST awareness.
💡 Clean Visualization Options — every component can be toggled on/off, recolored, or customized for your workflow.
Best used for:
ORB break-and-retest setups
VWAP and EMA rejections
Confluence-based trading around key session levels
Multi-session momentum tracking
PRO Scalper(EN)
## What it is
**PRO Scalper** is an intraday price–action and liquidity map that helps you see where the market is likely to move **now**, not just where it has been.
It combines five building blocks that professional scalpers often watch together:
1. **Session Volume-Weighted Average Price (VWAP)** — the intraday “fair value” anchor.
2. **Opening Range** — the first minutes of the session that set the day’s balance.
3. **Trend filter** — higher-timeframe bias using **Exponential Moving Averages (EMA)** and optional **Average Directional Index (ADX)** strength.
4. **Two independent Supply/Demand zone engines** — zones are drawn from confirmed swing pivots, with midlines and **touch counters**.
5. **Order-flow style visuals**:
* **Delta bubbles** (green/red circles) show where buying or selling pressure was unusually strong, using a safe **delta proxy** (no external feeds).
* **Liquidity densities** (subtle rectangular bands) highlight clusters of large activity that often act as magnets or barriers and disappear when “eaten” by strong moves.
This mix gives you a **complete intraday picture**: the mean (VWAP), the day’s initial balance (Opening Range), the higher-timeframe push (trend filter), the nearby fuel or brakes (zones), and the live pressure points (bubbles and densities).
---
## Why these components
* **VWAP** tracks where the bulk of traded value sits. Price tends to rotate around it or accelerate away from it — a perfect compass for scalps.
* **Opening Range** frames the early auction. Many intraday breaks, fades and retests start at its boundaries.
* **EMA bias + ADX strength** separates trending conditions from chop, so you can keep only the zones that agree with the bigger push.
* **Pivot-based zones (two pairs at once)** are simple, objective and fast. Midlines help with confirmations; touch counters quantify how many times the zone was tested.
* **Bubbles and densities** add the “effort” layer: where the push appeared and where liquidity is concentrated. You see **where** a move is likely to continue or fail.
Together they reduce ambiguity: **context + level + effort** — all on one screen.
---
## How it works (plain language)
* **VWAP** resets each day and is calculated as the cumulative sum of typical price multiplied by volume divided by total volume.
* **Opening Range** is either automatic (a multiple of your chart timeframe) or a manual number of minutes. While it is forming, the highest high and lowest low are captured and plotted as the range.
* **Trend filter**
* **EMA Fast** and **EMA Slow** define directional bias.
* **ADX (optional)** adds “trend strength”: only when the Average Directional Index is above the chosen threshold do we treat the move as strong. You can source this from a higher timeframe.
* **Zones**
* There are **two independent pairs** of pivots at the same time (for example 10-left 10-right and 5-left 5-right).
* Each detected pivot creates a **Supply** (from a swing high) or **Demand** (from a swing low) box. Box depth = **zone depth × Average True Range** for adaptive sizing; the boxes **extend forward**.
* Midline (optional dashed line inside the box) is the “balance” of the zone.
* **“Only in trend”** mode can hide boxes that go against the higher-timeframe bias.
* The **touch counter** increases when price revisits the box. Labels show the pair name and the number of touches.
* **Bubbles**
* A safe **delta proxy** measures bar pressure (for example, range-weighted close vs open).
* A **quantile filter** shows only unusually large pressure: choose lookback and percentile, and the script draws a circle sized by intensity (green = bullish pressure, red = bearish).
* **Densities**
* The script marks heavy activity clusters as **subtle bands** around price (depth = fraction of Average True Range).
* If price **breaks** a density with volume above its moving average, the band **disappears** (“eaten”), which often precedes continuation.
---
## How to use — practical playbooks
> Recommended chart: crypto or index futures, one to five minutes. Use **one hour** or **fifteen minutes** for the higher-timeframe bias.
### 1) Trend pullback scalp (continuation)
1. Enable **Only in trend** zones.
2. In an uptrend: wait for a pullback into a **Demand** zone that overlaps with VWAP or sits just below the Opening Range midpoint.
3. Look for **green bubbles** near the zone’s bottom or a fresh **density** under price.
4. Enter on a candle closing **back above the zone midline**.
5. Stop-loss: below the bottom of the zone or a small multiple of Average True Range.
6. Targets: previous swing high, Opening Range high, fixed risk multiples, or VWAP.
Mirror the logic for downtrends using Supply zones, red bubbles and densities above price.
### 2) Reversion with liquidity sweep (fade)
1. Bias neutral or countertrend allowed.
2. Price **wicks through** a zone boundary (or an Opening Range line) and **closes back inside** the zone.
3. The bubble color often flips (absorption).
4. Enter toward the **inside** of the zone; stop beyond the sweep wick; first target = zone midline, second = opposite side of the zone or VWAP.
### 3) Opening Range break and retest
1. Wait for the Opening Range to complete.
2. A break with a large bubble suggests intent.
3. Look for a **retest** into a nearby zone aligned with VWAP.
4. Trade continuation toward the next zone or the session extremes.
### 4) Density “eaten” continuation
1. When a density band **disappears** on high volume, it often means the resting liquidity was consumed.
2. Trade in the direction of the break, toward the nearest opposing zone.
---
## Settings — quick guide
**Core**
* *ATR Length* — used for zone and density depths.
* *Show VWAP / Show Opening Range*.
* *Opening Range*: Auto (multiple of timeframe minutes) or Manual minutes.
**Trend Filter**
* *Mode*: Off, EMA only, or EMA with ADX strength.
* *Use higher timeframe* and its value.
* *EMA Fast / EMA Slow*, *ADX Length*, *ADX threshold*.
* *Plot EMA filter* to display the moving averages.
**Zones (two pairs)**
* *Pivot A Left / Right* and *Pivot B Left / Right*.
* *Zone depth × ATR*, *Extend bars*.
* *Show zone midline*, *Only in trend zones*.
* Labels automatically show the touch counters.
**Bubbles**
* *Show Bubbles*.
* *Quantile lookback* and *Quantile percent* (higher percent = stricter filter, fewer bubbles).
**Densities**
* *Metric*: absolute delta proxy or raw volume.
* *Quantile lookback / percent*.
* *Depth × ATR*, *Extend bars*, *Merge distance* (in ATR),
* *Break condition*: volume moving average length and multiplier,
* *Midline for densities* (optional dashed line).
---
## Tips and risk management
* This script **does not use external order-flow feeds**. Delta is a **proxy** suitable for TradingView; tune quantiles per symbol and timeframe.
* Do not trade every bubble. Combine **context (trend + VWAP + Opening Range)** with **level (zone)** and **effort (bubble/density)**.
* Set stop-losses beyond the zone or at a fraction of Average True Range. Predefine risk per trade.
* Backtest your rules with a strategy script before using real funds.
* Markets differ. Parameters that work on Bitcoin may not transfer to low-liquidity altcoins or stocks.
* Nothing here is financial advice. Scalping is high-risk; slippage and over-trading can quickly damage your account.
---
## What makes PRO Scalper unique
* Two **independent** zone engines run in parallel, so you can see both **larger structure** and **fine intraday levels** at the same time.
* Clean **“only in trend” rendering** — zones and midlines against the bias can be hidden, reducing clutter and hesitation.
* **Touch counters** convert “feel” into numbers.
* **Self-contained order-flow visuals** (bubbles and densities) that require no extra data sources.
* Careful defaults: subtle colors for densities, clearer zones, and responsive auto Opening Range.
---
(RU)
## Что это такое
**PRO Scalper** — это индикатор для внутридневной торговли, который показывает **контекст и ликвидность прямо сейчас**.
Он объединяет пять модулей, которыми профессиональные скальперы пользуются вместе:
1. **VWAP** — средневзвешенная по объему цена за сессию, «справедливая стоимость» дня.
2. **Opening Range** — первая часть сессии, задающая баланс дня.
3. **Фильтр тренда** — направление старшего таймфрейма по **экспоненциальным средним** и при желании по силе тренда **Average Directional Index**.
4. **Две независимые системы зон спроса/предложения** — зоны строятся от подтвержденных экстремумов (пивотов), имеют **среднюю линию** и **счетчик касаний**.
5. **Визуализация «ордер-флоу»**:
* **Пузыри дельты** (зеленые/красные круги) — места повышенного покупательного/продажного давления, рассчитанные через безопасный **прокси-дельты**.
* **Плотности ликвидности** (ненавязчивые прямоугольные ленты) — скопления объема, которые нередко притягивают цену или удерживают ее и исчезают, когда «разъедаются» сильным движением.
Итог — **полная картинка момента**: среднее (VWAP), баланс дня (Opening Range), старшая сила (фильтр тренда), ближайшие уровни топлива/тормозов (зоны), текущие точки усилия (пузыри и плотности).
---
## Почему именно эти элементы
* **VWAP** показывает, где сосредоточена стоимость; цена либо вращается вокруг него, либо быстро уходит — идеальный ориентир скальпера.
* **Opening Range** фиксирует ранний аукцион — от его границ часто начинаются пробои, возвраты и ретесты.
* **EMA + ADX** отделяют тренд от «пилы», позволяя оставлять на графике только зоны по направлению старшего таймфрейма.
* **Зоны от пивотов** просты, объективны и быстры; средняя линия помогает подтверждать разворот, счетчик касаний переводит субъективность в цифры.
* **Пузыри и плотности** добавляют слой «усилия»: где именно возник толчок и где сконцентрирована ликвидность.
Комбинация **контекста + уровня + усилия** уменьшает двусмысленность и ускоряет принятие решения.
---
## Как это работает (простыми словами)
* **VWAP** каждый день стартует заново: сумма «типичной цены × объем» делится на суммарный объем.
* **Opening Range** — автоматический (кратный минутам вашего таймфрейма) или вручную заданный период; пока он формируется, фиксируются максимум и минимум.
* **Фильтр тренда**
* Две экспоненциальные средние задают направление.
* **ADX** (по желанию) добавляет «силу». Источник можно взять со старшего таймфрейма.
* **Зоны**
* Одновременно работает **две пары** пивотов (например 10-лево 10-право и 5-лево 5-право).
* От пивота строится зона **предложения** (от максимума) или **спроса** (от минимума). Глубина зоны = **коэффициент × Average True Range**; зона тянется вперед.
* Внутри рисуется **средняя линия** (по желанию).
* Режим **«только по тренду»** скрывает зоны против старшего направления.
* **Счетчик касаний** увеличивается, когда цена снова входит в зону; подпись показывает пару и количество касаний.
* **Пузыри**
* Используется безопасный **прокси-дельты** — измерение «напряжения» внутри свечи.
* Через **квантильный фильтр** выводятся только необычно сильные места: настраиваются окно и процент квантиля; размер кружка — сила, цвет: зеленый покупатели, красный продавцы.
* **Плотности**
* Крупные активности отмечаются **ненавязчивыми прямоугольниками** (глубина — доля Average True Range).
* Если плотность **пробивается** объемом выше среднего, она **исчезает** — часто это предвещает продолжение.
---
## Как пользоваться — практические схемы
> Рекомендация: крипто или фьючерсы, таймфрейм 1–5 минут. Для старшего фильтра удобно взять **1 час** или **15 минут**.
### 1) Скальп на откат по тренду
1. Включите **«только по тренду»**.
2. В восходящем тренде дождитесь отката в **зону спроса**, желательно рядом с **VWAP** или серединой **Opening Range**.
3. Подтверждение — **зеленые пузыри** у нижней границы зоны или свежая **плотность** под ценой.
4. Вход после закрытия свечи **выше средней линии** зоны.
5. Стоп-лосс: за нижнюю границу зоны или небольшой множитель Average True Range.
6. Цели: предыдущий максимум, верх Opening Range, фиксированные R-множители, либо VWAP.
Для нисходящего тренда зеркально: зоны предложения, красные пузыри и плотности над ценой.
### 2) Контрдвижение с «выбиванием ликвидности»
1. Нейтральный или контртрендовый режим.
2. Цена **выносит хвостом** границу зоны (или линию Opening Range) и **закрывается обратно внутри**.
3. Цвет пузыря часто меняется (поглощение).
4. Вход внутрь зоны; стоп — за хвост выбивания; цели: средняя линия, противоположная граница зоны или VWAP.
### 3) Пробой Opening Range + ретест
1. Дождитесь завершения диапазона.
2. Сильный пробой с крупным пузырем — признак намерения.
3. Ищите **ретест** в зоне по тренду рядом с линией диапазона и VWAP.
4. Торгуйте продолжение к следующей зоне.
### 4) Продолжение после «съеденной» плотности
1. Когда прямоугольник плотности **исчезает** на повышенном объеме, это значит, что ликвидность поглощена.
2. Торгуйте в сторону пробоя к ближайшей противоположной зоне.
---
## Настройки — краткая шпаргалка
**Core**
— Длина Average True Range (для размеров зон и плотностей).
— Включение VWAP и Opening Range.
— Длина Opening Range: автоматическая (кратная минутам ТФ) или ручная.
**Trend Filter**
— Режим: выкл., только средние, либо средние + ADX.
— Источник со старшего таймфрейма и его значение.
— Длины средних, длина ADX и порог силы.
— Показать/скрыть линий средних.
**Zones (две пары одновременно)**
— Пара A: лев/прав; Пара B: лев/прав.
— Глубина зоны × Average True Range, продление по барам.
— Средняя линия, режим **«только по тренду»**.
— Подписи со счетчиком касаний.
**Bubbles**
— Вкл./выкл., окно поиска и процент квантиля (чем выше процент — тем реже пузыри).
**Densities**
— Метрика: абсолютная прокси-дельты или чистый объем.
— Окно/квантиль, глубина × Average True Range, продление,
— Порог объединения (в Average True Range),
— Условие «разъедания» по объему,
— Средняя линия плотности (по желанию).
---
## Советы и риски
* Индикатор **не использует внешние потоки ордер-флоу**. Дельта — **прокси**, подходящая для TradingView; подбирайте квантили под инструмент и таймфрейм.
* Не торгуйте каждый пузырь. Склейте **контекст (тренд + VWAP + Opening Range)** с **уровнем (зона)** и **усилием (пузырь/плотность)**.
* Стоп-лосс — за границей зоны или по Average True Range. Риск на сделку задавайте заранее.
* Перед реальными деньгами протестируйте правила в стратегии.
* Разные рынки ведут себя по-разному; настройки из Биткоина могут не подойти малоликвидным альткоинам или акциям.
* Это не инвестиционная рекомендация. Скальпинг — высокий риск; проскальзывание и переизбыток сделок быстро наносят ущерб капиталу.
---
## Чем уникален PRO Scalper
* Две **одновременные** системы зон показывают и **крупную структуру**, и **точные локальные уровни**.
* Режим **«только по тренду»** чистит экран от лишних уровней и ускоряет решение.
* **Счетчики касаний** дают количественную опору.
* **Самодостаточные визуализации усилия** (пузыри и плотности) — без сторонних источников данных.
* Аккуратная цветовая схема: плотности — мягко, зоны — ясно; Opening Range — адаптивный.
Пусть он станет вашей «картой местности» для быстрых и дисциплинированных решений внутри дня.
Mythical EMAs + Dynamic VWAP BandThis indicator titled "Mythical EMAs + Dynamic VWAP Band." It overlays several volatility-adjusted Exponential Moving Averages (EMAs) on the chart, along with a Volume Weighted Average Price (VWAP) line and a dynamic band around it.
Additionally, it uses background coloring (clouds) to visualize bullish or bearish trends, with intensity modulated by the price's position relative to the VWAP.
The EMAs are themed with mythical names (e.g., Hermes for the 9-period EMA), but this is just stylistic flavoring and doesn't affect functionality.
I'll break it down section by section, explaining what each part does, how it works, and its purpose in the context of technical analysis. This indicator is designed for traders to identify trends, momentum, and price fairness relative to volume-weighted averages, with volatility adjustments to make the EMAs more responsive in volatile markets.
### 1. **Volatility Calculation (ATR)**
```pine
atrLength = 14
volatility = ta.atr(atrLength)
```
- **What it does**: Calculates the Average True Range (ATR) over 14 periods (a common default). ATR measures market volatility by averaging the true range (the greatest of: high-low, |high-previous close|, |low-previous close|).
- **Purpose**: This volatility value is used later to dynamically adjust the EMAs, making them more sensitive in high-volatility conditions (e.g., during market swings) and smoother in low-volatility periods. It helps the indicator adapt to changing market environments rather than using static EMAs.
### 2. **Custom Mythical EMA Function**
```pine
mythical_ema(src, length, base_alpha, vol_factor) =>
alpha = (2 / (length + 1)) * base_alpha * (1 + vol_factor * (volatility / src))
ema = 0.0
ema := na(ema ) ? src : alpha * src + (1 - alpha) * ema
ema
```
- **What it does**: Defines a custom function to compute a modified EMA.
- It starts with the standard EMA smoothing factor formula: `2 / (length + 1)`.
- Multiplies it by a `base_alpha` (a user-defined multiplier to tweak responsiveness).
- Adjusts further for volatility: Adds a term `(1 + vol_factor * (volatility / src))`, where `vol_factor` scales the impact, and `volatility / src` normalizes ATR relative to the source price (making it scale-invariant).
- The EMA is then calculated recursively: If the previous EMA is NA (e.g., at the start), it uses the current source value; otherwise, it weights the current source by `alpha` and the prior EMA by `(1 - alpha)`.
- **Purpose**: This creates "adaptive" EMAs that react faster in volatile markets (higher alpha when volatility is high relative to price) without overreacting in calm periods. It's an enhancement over standard EMAs, which use fixed alphas and can lag in choppy conditions. The mythical theme is just naming—functionally, it's a volatility-weighted EMA.
### 3. **Calculating the EMAs**
```pine
ema9 = mythical_ema(close, 9, 1.2, 0.5) // Hermes - quick & nimble
ema20 = mythical_ema(close, 20, 1.0, 0.3) // Apollo - short-term foresight
ema50 = mythical_ema(close, 50, 0.9, 0.2) // Athena - wise strategist
ema100 = mythical_ema(close, 100, 0.8, 0.1) // Zeus - powerful oversight
ema200 = mythical_ema(close, 200, 0.7, 0.05) // Kronos - long-term patience
```
- **What it does**: Applies the custom EMA function to the close price with varying lengths (9, 20, 50, 100, 200 periods), base alphas (decreasing from 1.2 to 0.7 for longer periods to make shorter ones more responsive), and volatility factors (decreasing from 0.5 to 0.05 to reduce volatility influence on longer-term EMAs).
- **Purpose**: These form a multi-timeframe EMA ribbon:
- Shorter EMAs (e.g., 9 and 20) capture short-term momentum.
- Longer ones (e.g., 200) show long-term trends.
- Crossovers (e.g., short EMA crossing above long EMA) can signal buy/sell opportunities. The volatility adjustment makes them "mythical" by adding dynamism, potentially improving signal quality in real markets.
### 4. **VWAP Calculation**
```pine
vwap_val = ta.vwap(close) // VWAP based on close price
```
- **What it does**: Computes the Volume Weighted Average Price (VWAP) using the built-in `ta.vwap` function, anchored to the close price. VWAP is the average price weighted by volume over the session (resets daily by default in Pine Script).
- **Purpose**: VWAP acts as a benchmark for "fair value." Prices above VWAP suggest bullishness (buyers in control), below indicate bearishness (sellers dominant). It's commonly used by institutional traders to assess entry/exit points.
### 5. **Plotting EMAs and VWAP**
```pine
plot(ema9, color=color.fuchsia, title='EMA 9 (Hermes)')
plot(ema20, color=color.red, title='EMA 20 (Apollo)')
plot(ema50, color=color.orange, title='EMA 50 (Athena)')
plot(ema100, color=color.aqua, title='EMA 100 (Zeus)')
plot(ema200, color=color.blue, title='EMA 200 (Kronos)')
plot(vwap_val, color=color.yellow, linewidth=2, title='VWAP')
```
- **What it does**: Overlays the EMAs and VWAP on the chart with distinct colors and titles for easy identification in TradingView's legend.
- **Purpose**: Visualizes the EMA ribbon and VWAP line. Traders can watch for EMA alignments (e.g., all sloping up for uptrend) or price interactions with VWAP.
### 6. **Dynamic VWAP Band**
```pine
band_pct = 0.005
vwap_upper = vwap_val * (1 + band_pct)
vwap_lower = vwap_val * (1 - band_pct)
p1 = plot(vwap_upper, color=color.new(color.yellow, 0), title="VWAP Upper Band")
p2 = plot(vwap_lower, color=color.new(color.yellow, 0), title="VWAP Lower Band")
fill_color = close >= vwap_val ? color.new(color.green, 80) : color.new(color.red, 80)
fill(p1, p2, color=fill_color, title="Dynamic VWAP Band")
```
- **What it does**: Creates a band ±0.5% around the VWAP.
- Plots the upper/lower bands with full transparency (color opacity 0, so lines are invisible).
- Fills the area between them dynamically: Semi-transparent green (opacity 80) if close ≥ VWAP (bullish bias), red if below (bearish bias).
- **Purpose**: Highlights deviations from VWAP visually. The color change provides an at-a-glance sentiment indicator—green for "above fair value" (potential strength), red for "below" (potential weakness). The narrow band (0.5%) focuses on short-term fairness, and the fill makes it easier to spot than just the line.
### 7. **Trend Clouds with VWAP Interaction**
```pine
bullish = ema9 > ema20 and ema20 > ema50
bearish = ema9 < ema20 and ema20 < ema50
bullish_above_vwap = bullish and close > vwap_val
bullish_below_vwap = bullish and close <= vwap_val
bearish_below_vwap = bearish and close < vwap_val
bearish_above_vwap = bearish and close >= vwap_val
bgcolor(bullish_above_vwap ? color.new(color.green, 50) : na, title="Bullish Above VWAP")
bgcolor(bullish_below_vwap ? color.new(color.green, 80) : na, title="Bullish Below VWAP")
bgcolor(bearish_below_vwap ? color.new(color.red, 50) : na, title="Bearish Below VWAP")
bgcolor(bearish_above_vwap ? color.new(color.red, 80) : na, title="Bearish Above VWAP")
```
- **What it does**: Defines trend conditions based on EMA alignments:
- Bullish: Shorter EMAs stacked above longer ones (9 > 20 > 50, indicating upward momentum).
- Bearish: The opposite (downward momentum).
- Sub-conditions combine with VWAP: E.g., bullish_above_vwap is true only if bullish and price > VWAP.
- Applies background colors (bgcolor) to the entire chart pane:
- Strong bullish (above VWAP): Green with opacity 50 (less transparent, more intense).
- Weak bullish (below VWAP): Green with opacity 80 (more transparent, less intense).
- Strong bearish (below VWAP): Red with opacity 50.
- Weak bearish (above VWAP): Red with opacity 80.
- If no condition matches, no color (na).
- **Purpose**: Creates "clouds" for trend visualization, enhanced by VWAP context. This helps traders confirm trends—e.g., a strong bullish cloud (darker green) suggests a high-conviction uptrend when price is above VWAP. The varying opacity differentiates signal strength: Darker for aligned conditions (trend + VWAP agreement), lighter for misaligned (potential weakening or reversal).
### Overall Indicator Usage and Limitations
- **How to use it**: Add this to a TradingView chart (e.g., stocks, crypto, forex). Look for EMA crossovers, price bouncing off EMAs/VWAP, or cloud color changes as signals. Bullish clouds with price above VWAP might signal buys; bearish below for sells.
- **Strengths**: Combines momentum (EMAs), volume (VWAP), and volatility adaptation for a multi-layered view. Dynamic colors make it intuitive.
- **Limitations**:
- EMAs lag in ranging markets; volatility adjustment helps but doesn't eliminate whipsaws.
- VWAP resets daily (standard behavior), so it's best for intraday/session trading.
- No alerts or inputs for customization (e.g., changeable lengths)—it's hardcoded.
- Performance depends on the asset/timeframe; backtest before using.
- **License**: Mozilla Public License 2.0, so it's open-source and modifiable.
