ADIBABA - 4x EMAThis indicator is based on the Exponential Moving Average (EMA) and is designed to help traders identify trend direction, momentum, and price structure with clarity.
The script provides fully customizable EMA length along with an optional Smoothing EMA (SMS), allowing traders to fine-tune the indicator according to their trading style and market conditions.
It is suitable for intraday, swing, and positional traders and works well across multiple asset classes.
How It Works
• The primary EMA follows price movement and defines the trend
• The smoothing EMA reduces market noise and improves signal quality
• Price above EMA indicates a bullish bias
• Price below EMA indicates a bearish bias
This combination helps filter false signals and provides stronger trend confirmation.
Średnie kroczące
PM/PW/PD/OVN/CD/CM/CW/ORB Highs & Lows + EMAs + ATH/ATL/52WTogglable:
Previous Month High / Low
Previous Week High / Low
Previous Day High / Low
Current Month High / Low
Current Week High / Low
Current Day High / Low
ORB High / Low
Overnight High / Low
Asia Session High / Low
London Session High / Low
All Time High / Low
52week High / Low
3 EMAs (default 21/34/55)
Dashboards + lines on chart
Zero Lag Moving Average Convergence Divergence (ZLMACD) [EVAI]Zero Lag Moving Average Convergence Divergence (ZLMACD)
ZLMACD is a MACD-style momentum oscillator that keeps the standard MACD structure while adding a practical “zero-lag” option through ZLEMA. It is intended for traders who like the familiar MACD workflow but want an oscillator that can respond earlier during transitions without turning into an overly noisy trigger.
The indicator plots the MACD line, the signal line, and the histogram around a zero baseline. If you already understand MACD, you already understand how to read this. The difference is that you can choose whether the oscillator and signal are driven by EMA, SMA, or ZLEMA, which changes the responsiveness and smoothness of the indicator.
Default behavior
This script defaults to the preset mode “ZLEMA osc + EMA signal.” In this configuration, the fast and slow oscillator averages are computed using ZLEMA, while the signal line remains an EMA of the MACD line. The reason for this mix is simple: ZLEMA tends to reduce lag in the oscillator, while EMA on the signal line helps keep crossovers readable and avoids excessive micro-signals.
In practice, this default preset often behaves like a “faster MACD” that still feels like MACD. It can highlight momentum turns earlier than a traditional EMA MACD while keeping the signal line stable enough to use for timing and confirmation.
Custom mode and MA selection
If you switch Mode to “Custom,” the indicator will use your selected moving average types for both the oscillator and the signal line. In Custom mode, the oscillator type applies to both fast and slow averages, and the signal type applies to the smoothing of the MACD line.
If you are in the default preset mode, the custom MA dropdowns will not change the calculations. This is intentional: the preset locks the MA types so the default behavior remains consistent and reproducible across charts and users.
Reading the indicator
The histogram reflects the distance between the MACD line and the signal line. When the histogram is above zero, the MACD line is above the signal line and momentum is biased upward; when it is below zero, the MACD line is below the signal line and momentum is biased downward. Changes in histogram height help visualize strengthening versus weakening momentum, while the zero baseline provides regime context by indicating whether the fast average is above or below the slow average.
Crossovers between MACD and signal behave exactly as they do in standard MACD, but the timing and “feel” will vary depending on the MA choices. ZLEMA on the oscillator typically makes turns appear earlier; SMA typically smooths more but can be slower; EMA tends to be the balanced baseline.
Alerts
Two alert conditions are included to detect histogram polarity shifts. One triggers when the histogram switches from non-negative to negative, and the other triggers when it switches from non-positive to positive. These are useful if you want simple notifications for momentum regime flips without staring at the chart continuously.
Notes
This indicator is provided for informational and educational purposes only and is not financial advice. Always test settings per instrument and timeframe and use risk management.
MADZ - Moving Average Deviation Z-ScoreMADZ - Moving Average Deviation Z-Score
MADZ is a powerful valuation oscillator that measures how far the current price has deviated from a user-selected moving average, expressed in statistical terms as a Z-Score. This normalization makes it easier to identify overvalued and undervalued conditions across different assets, timeframes, and market environments.
Overview
The indicator works by:
Calculating the percentage deviation of price from a customizable moving average (SMA, EMA, WMA, VWMA, HMA, or RMA).
Applying a Z-Score transformation to this deviation over a chosen lookback period — showing how many standard deviations the current deviation is from its historical average. Smoothing the result for a clean, responsive oscillator centered around zero.
Positive values indicate price is trading above the moving average (potentially overvalued), while negative values suggest price is below (potentially undervalued). The further from zero, the greater the relative valuation extreme.
Key Features
Customizable base moving average (type and length)
Z-Score normalization for statistically meaningful readings
Final smoothing for reduced noise
Static overbought/oversold levels (default ±1.5) — line changes color when crossed (red above, green below)
Dynamic extreme bands (±3σ) — optional display of bands calculated from the oscillator’s own volatility over a user-defined period
Extreme zone highlighting — background shading activates only during truly rare valuation events
Extreme Zone Highlighting Explained
The highlighted extreme zones (background shading) are not based on the fixed static levels. Instead, they signal statistically significant outliers using dynamic bands:
Overbought extreme zone (red background): Triggered when MADZ rises above the upper dynamic band (+3 standard deviations of the MADZ line itself over the dynamic length period).
Oversold extreme zone (green background): Triggered when MADZ falls below the lower dynamic band (-3 standard deviations).
These ±3σ bands adapt to the recent behavior of the oscillator. Because they represent three standard deviations from the mean of MADZ, crossings are rare and often precede major reversals or trend accelerations — making them valuable for spotting potential turning points in valuation extremes.
How to Use
Use zero-line crosses for trend changes or mean-reversion setups.
Watch static level crossings (±1.5 default) for early overbought/oversold warnings.
Pay special attention to extreme zone shading — these highlight high-conviction valuation dislocations that may offer superior risk/reward opportunities.
Designed on the BTC chart, but can be used on other assets.
Settings
Moving Average Settings: Type, length, source
Z-Score & Smoothing: Lookback period and smoothing length
Threshold Levels: Static overbought/oversold thresholds
Display Options: Toggle dynamic bands and extreme background highlighting
This is an educational tool designed to aid in valuation analysis. The information provided is not financial advice. Always conduct your own research and consider multiple factors before making trading decisions. Trade at your own risk.
SB - HULL MANifty Options Scalping @ 1 Minute TF
Call Entry - If both MA turns bullish.
Put Entry - If Both MAs turns bearish.
Best results - If both MAs complement each other in the same direction.
Exit Plan - My opinion, If slow MA turns bearish. However one can also plan to exit if any one of the MA turns bearish.
Display - Make your own setting as per your own comfort
Keep this indicator in a separate pane below the chart. It will give clarity view of the chart.
Works well on nifty derivatives @ 1 minute TF , can do well on other instruments too.
SB - HULL MANifty Derivatives Scalping @ 1 Minute TF
Call Side - If both the MAs turns bullish
Put Side - If both the MAs turns bearish.
Can be applied on options charts directly. Better to plan 50 points in the money Call or Put option from Spot.
Exit - My opinion, if slow MA turns bearish. You can either exit if anyone of the MA turns bearish also.
Best for nifty derivatives scalping at 1 Minute TF, can work well on other instruments too.
Display Setting - As per your own convenience, Mine snap is below :
Area per IntervalDescription
This indicator shades the area between 2 curves, an SMA and the nearest open/close to the SMA, and their intersections. The black labels with leader lines describe the calculated area of each shaded section, and the total area accumulated per total number of time intervals for that area. The additional value visible in the status line that is not displayed on the chart is, at any bar index (time interval), the current total area of the incomplete shaded area.
Usage
- The default color of the shaded areas denote the type of momentum being built before the cross. Green for bullish, red for bearish.
- The area value of the shaded areas can be used as a capacity indicator, denoting imbalances between the previous and next crosses.
- The area per interval value of the shaded areas can be used as a momentum indicator, denoting which area is carrying more price movement before the price crosses.
- Similar to indicators that use dynamic price differences between OHLC data, moving averages, etc, confluence with other momentum indicators that use different elements creates additional confirmation.
Conclusion
Simple momentum indicator. Comment for possible updates that can be made.
SB - VWDEMA - V2Derivatives - Scalping @ 1 Minute TF
Rules : -
CE entry - If ATR a& Dema both turns Green.
PE entry - If ATR and Dema both turns Red.
If both are in opposite colour code, wait till both align in direction and colour coding.
Vwap - If price is above Vwap, Calls will be rewarded well ( Try to find out entry in call options ).
If Price is below VWAP, Puts will be rewarded well also, try to figure out entry in Put options.
Best results - Nifty derivative @ 1 minute TF , However can work well in all other instruments.
Display - make your own settings as per your convenience. Mine is attached below for your reference :
SB - VWDEMAScalping @ 1 Minute time frame.
Rules : -
1. Call entry - If Dema and ATR both turns green ( 1 minute TF )
2. Put Entry - If Dema and ATR both turns red ( 1minute TF )
If one is red and other is green wait till both align in same direction.
Vwap - Price above VWAP, call side entry will be rewarded well ( Try to find entry in calls) and if price is below Vwap Put side entry will be rewarded well ( Try to find entry in Puts).
Exit - Follow ATR stop loss line at 1 minute TF ( candle closing basis ).
Can be used on option charts directly.
Best results - Nifty derivatives @ 1 Minute TF, however it can work well with other instruments too.
Make your display setting as per your convenience.
777 SigmaDev Clustersyeeeeeeeeeeeeeeeeeeeeeeeeeeaaaaaaaaaaaaaaaaaaaaaah buddyyyyyyyyyyyyyyyyyyyyyyyyyyyy!
777 expected Movehell yeaaaaaaaaaaaah, we back at it again yfm, some bs right here, will NOT tap ever!!!!!!
Algonova TrendFlowWhat was previously a (very!) manual process of looking at "UPs" and "DOWNs" to determine which way the market is "flowing" has now been automated! Urban TrendFlow is an immense timesaver for our users as we search for opportunities to go long and short (and especially when we need to sit on our hands and let uncertain markets "find their flow".
ICT Clean CISD & Mitigated MTF FVGs Clean CISD & MTF FVGs
Minimalist Institutional Order Flow Tool
Key Features:
CISD (Change in State of Delivery): Marks the first sign of an order flow shift. Displayed as a clean black line + label (no bulky boxes).
High-Probability FVGs: Scans 15m, 1h, and 4h timeframes for gaps.
Displacement Filter: Only shows "Crucial" gaps. Tiny, insignificant imbalances are automatically filtered out using an ATR threshold.
Auto-Cleaning Logic: Boxes are automatically deleted once price fills or closes through them, keeping your chart 100% clean.
ilker %90This strategy is a short-term momentum approach based on moving averages and volume. Studies show it performs more effectively on the 1-hour and 4-hour timeframes. Take-profit and stop-loss distances are kept short, resulting in a high win rate, while the profit factor ranges between 1.4 and 2.
40 SMA Scaling StrategyThis trend-following strategy focuses on capturing momentum when price breaks above the 40-period Simple Moving Average (SMA) while utilizing a systematic scale-out (Take Profit) approach to lock in gains during extended runs.
Strategy Logic
Entry: Opens a Long position with 100% of current equity when the price closes above the 40 SMA. This ensures maximum capital efficiency at the start of a new perceived trend.
Scaling Take Profits: To reduce risk as the trade progresses, the strategy automatically closes 25% of the initial position for every 1% increase in price from the entry point.
Exit: The entire remaining position is closed immediately if the price closes below the 40 SMA, acting as a trailing stop that adapts to the moving average.
Key Features
Capital-Efficient: Starts with a full account allocation to maximize exposure to the initial breakout.
Systematic De-risking: By scaling out in 25% increments, the strategy banks profits early while leaving a portion of the trade active for potential "moon shots."
Trend-Following Exit: Uses a classic SMA filter to exit, aiming to stay in the trade as long as the medium-term trend remains bullish.
%-to-Tick Trailing Stop & VisualizerPercent-to-Tick Trailing Stop (strategy.exit Framework + Visualizer)
Overview
This script focuses on exit management and visualization, not entry performance. The included MA crossover entry is intentionally simple and replaceable.
Core idea (Percent → Tick conversion)
strategy.exit() trailing parameters are tick-based (trail_points, trail_offset, and loss).
This script lets you input distances in percent (%) and converts them into integer ticks using syminfo.mintick, making the same exit logic portable across most tick-based symbols/exchanges with different tick sizes.
//==What it provides==//
1. % → tick conversion for:
- Fixed stop loss (loss)
- Trailing activation distance (trail_points)
- Trailing offset distance (trail_offset)
2. On-chart visualization:
- Entry average price
- Trailing activation threshold
- Fixed stop-loss line
- Trailing stop line (with an exit-bar alignment attempt to reduce gaps)
//==How to use==//
1. Keep the included MA crossover entries, or replace them with your own entries.
2. Configure:
- Fixed Stop Loss % (loss_pct)
- Trailing Activation % (t_points_pct)
- Trailing Offset % (t_offset_pct)
3. Adjust commission/slippage defaults to match your market.
//==Important limitations (must read)==//
- calc_on_every_tick=true recalculates on realtime bars only; historical bars are evaluated differently. Backtests can differ from realtime behavior and may change after reload.
- Tick rounding: percent distances are rounded to integer ticks, so small differences can occur depending on tick size and price level.
- For more realistic intrabar backtesting, consider enabling Bar Magnifier in Strategy Properties (if available).
# Average Entry Price (Basis):
"Calculations are based on the position's average entry price (strategy.position_avg_price)."
# Pine Script v6:
"Written in the latest Pine Script v6."
요약
이 스크립트의 핵심은 “진입 전략”이 아니라 **strategy.exit()의 tick 기반 트레일링 파라미터를 % 입력으로 일반화(%→ticks 변환)**하여, 다양한 심볼/거래소의 서로 다른 tick size 환경에서도 동일한 exit 로직을 재사용할 수 있게 만든 “청산 프레임워크”입니다. 또한 calc_on_every_tick=true 환경에서 트리거/손절/트레일 라인을 실시간에 가깝게 시각화하는 데 중점을 두었습니다.
단, calc_on_every_tick은 실시간 바에서만 틱 단위 재계산이 적용되며, 히스토리 바/백테스트는 평가 방식이 달라 결과가 다를 수 있습니다.
SMAcross-mvrOverview
SMAcross-mvrNew is a flexible, non-repainting moving-average strategy designed for clarity, configurability, and reliable backtesting.
It supports multiple entry styles, optional layered exits, and full-capital position sizing, while remaining stable during chart zooming and dragging.
🚀 What’s New in v2
✅ Multiple Entry Modes
You can now choose how trades are entered:
Entry Mode A: Short SMA crosses Long SMA
Entry Mode B: Price crosses Long SMA
This allows both classic MA-crossover trading and trend-continuation pullback entries using the same strategy.
✅ Modular Exit System (Checkbox-Based)
Exit logic is now fully modular using independent checkboxes:
☑ Exit on opposite signal
☑ Exit when price closes beyond Short SMA
You may enable one, both, or neither.
If both are enabled, the strategy exits on whichever condition occurs first.
✅ Terminology Clarity
All labels, inputs, and alerts now use semantic naming:
Short SMA (formerly 13 SMA)
Long SMA (formerly 30 SMA)
This makes the strategy easier to understand and future-proof if SMA lengths are changed.
✅ Full-Capital Position Sizing
Each trade uses 100% of available equity, allowing performance to naturally compound over time during backtests.
✅ Optional Visual Enhancements
Optional cross price labels (can be toggled on/off)
Color-filled zone between Short and Long SMAs for quick trend recognition
Optional 200 SMA (off by default) for higher-timeframe context
✅ Alert-Ready (TV-Safe)
All alerts use static messages compatible with TradingView’s alert system, making the strategy suitable for:
Manual trade notifications
Webhook-based automation
Broker integrations
🔒 Design Principles
No repainting
No line continuations (TradingView-safe formatting)
Stable behavior when zooming or scrolling
Clear separation of entry logic, exit logic, and visuals
⚠️ Notes
This script is intended for educational and research purposes.
Always forward-test and apply proper risk management before live trading.
Tabla de EMA's y TimeframesGraphic and permanent representation of the trend of an action/CFD/stock/crypto, directly related to the technical analysis of its EMA's.
Nested SMA WaveThe "Nested SMA Wave" is a custom Pine Script (v5) indicator for TradingView that overlays a series of 8 Simple Moving Averages (SMAs) on the price chart. These SMAs use exponentially increasing lengths based on powers of 2, starting from a user-defined base length (default: 25). This creates lengths like 25, 50, 100, 200, 400, 800, 1600, and 3200.
Each SMA is plotted in a distinct color, forming a "wave" of nested lines that fan out from short-term (faster, more responsive) to long-term (slower, smoother). Semi-transparent colored fills (shaded zones) are added between consecutive SMAs, with customizable toggles and transparency levels, creating layered visual bands that highlight the spaces between different trend timescales.
Use Cases
Multi-Timeframe Trend Visualization: The power-of-2 nesting approximates higher timeframe trends on lower timeframes without switching charts. Shorter SMAs react quickly to price changes, while longer ones show major trends, helping identify overall market structure at a glance.
Support/Resistance Identification: Price interacting with the SMA lines or shaded zones can act as dynamic support/resistance. Crossovers between nested SMAs signal potential momentum shifts.
Trend Strength and Alignment: When SMAs are widely spaced and aligned (e.g., all sloping up), it indicates strong trends. Converging or crossing SMAs suggest consolidation or reversals. The shaded zones add depth, making expansions/contractions in volatility or trend power visually obvious.
Ribbon-Style Trading: Similar to moving average ribbons, traders can look for price pulling back to inner zones for entries in the direction of the broader "wave," or use zone breaks for signals.
Customization for Different Assets/Timeframes: Adjust the base length (e.g., smaller for crypto volatility, larger for stocks) and toggle shades to reduce clutter.
This creates a visually rich, rainbow-like overlay that's particularly useful for trend-following strategies on any chart.
MAs + Bollinger Bands by @ETERNYWORLDMAs + Bollinger Bands by @ETERNYWORLD is the core trend and volatility layer inside the Trend Mastery Pro ecosystem, engineered by EternityWorld to deliver a clean, structured, and highly customizable market bias reading directly on the chart.
What’s Inside the Indicator
5 independent Moving Averages (EMA or SMA) with individual enable/disable toggles, lengths, colors, and widths.
Bollinger Bands with professional basis options: SMA, EMA, RMA/SMMA, WMA, VWMA, plus adjustable deviation multiplier and visual band fill.
Chart overlay compatibility, making trend and volatility easy to interpret for fast decisions.
Fully configurable alerts, enabling traders to stay proactive without missing high-probability expansion triggers.
Enhanced by Trend Mastery Pro Workflow
This indicator complements the 3-step methodology of Trend Mastery Pro:
Bias → defines the dominant trend direction.
Trigger → identifies breakout or momentum expansion zones using confluence with volatility.
Management → supports consistent risk execution when combined with external strategy rules and trade plans.
Key Strengths
✔ Unified trend + volatility envelope on chart
✔ Individual component control (no clutter, no guesswork)
✔ Noise reduction in consolidation environments
✔ Adaptable to crypto, forex, indices, commodities, and equities
✔ Reliable for intraday impulse plays and structured directional setups
How to Use It
Context: Align your analysis with the broader bias before execution.
Signal: Watch for volatility expansion and trend alignment for breakout scenarios.
Execution: Apply your risk plan (position size, partials, BE/trailing) based on your trading model.
Best Practices
🛡️ Tune sensitivity according to asset volatility and timeframe horizon
🛡️ Avoid trading against dominant bias during compression phases
🛡️ Always validate through backtesting and forward testing before scaling
🛡️ Log performance and refine parameters iteratively
Who It's For
Traders who want:
A repeatable and disciplined process
A professional visual structure
Less noise, more clarity, better bias alignment
A premium indicator suite that supports real decision-making
Compatibility
Seamlessly works with any asset and timeframe on TradingView supporting chart overlay indicators. Alerts are designed to help monitoring without being glued to the screen.
Disclaimer ⚠️
This product is not financial advice and does not guarantee results. Performance varies depending on market conditions, asset behavior, user configuration, and applied risk management. Always trade responsibly and follow your own risk plan.
Velocity Divergence Radar [JOAT]
Velocity Divergence Radar - Momentum Physics Edition
Overview
Velocity Divergence Radar is an open-source oscillator indicator that applies physics concepts to market analysis. It calculates price velocity (rate of change), acceleration (rate of velocity change), and jerk (rate of acceleration change) to provide a multi-dimensional view of momentum. The indicator also includes divergence detection and force vector analysis.
What This Indicator Does
The indicator calculates and displays:
Velocity - Rate of price change over a configurable period, smoothed with EMA
Acceleration - Rate of velocity change, showing momentum shifts
Jerk (3rd Derivative) - Rate of acceleration change, indicating momentum stability
Force Vectors - Volume-weighted acceleration representing market force
Kinetic Energy - Calculated as 0.5 * mass (volume ratio) * velocity squared
Momentum Conservation - Tracks momentum relative to historical average
Divergence Detection - Identifies when price and velocity diverge at pivots
How It Works
Velocity is calculated as smoothed rate of change:
calculateVelocity(series float price, simple int period) =>
float roc = ta.roc(price, period)
float velocity = ta.ema(roc, period / 2)
velocity
Acceleration is the change in velocity:
calculateAcceleration(series float velocity, simple int period) =>
float accel = ta.change(velocity, period)
float smoothAccel = ta.ema(accel, period / 2)
smoothAccel
Jerk is the change in acceleration:
calculateJerk(series float acceleration, simple int period) =>
float jerk = ta.change(acceleration, period)
float smoothJerk = ta.ema(jerk, period / 2)
smoothJerk
Force is calculated using F = m * a (mass approximated by volume ratio):
calculateForceVector(series float mass, series float acceleration) =>
float force = mass * acceleration
float forceDirection = math.sign(force)
float forceMagnitude = math.abs(force)
Signal Generation
Signals are generated based on velocity behavior:
Bullish Divergence: Price makes lower low while velocity makes higher low
Bearish Divergence: Price makes higher high while velocity makes lower high
Velocity Cross: Velocity crosses above/below zero line
Extreme Velocity: Velocity exceeds 1.5x the upper/lower zone threshold
Jerk Extreme: Jerk exceeds 2x standard deviation
Force Extreme: Force magnitude exceeds 2x average
Dashboard Panel (Top-Right)
Velocity - Current velocity value
Acceleration - Current acceleration value
Momentum Strength - Combined velocity and acceleration strength
Radar Score - Composite score based on velocity and acceleration
Direction - STRONG UP/SLOWING UP/STRONG DOWN/SLOWING DOWN/FLAT
Jerk - Current jerk value
Force Vector - Current force magnitude
Kinetic Energy - Current kinetic energy value
Physics Score - Overall physics-based momentum score
Signal - Current actionable status
Visual Elements
Velocity Line - Main oscillator line with color based on direction
Velocity EMA - Smoothed velocity for trend reference
Acceleration Histogram - Bar chart showing acceleration direction
Jerk Area - Filled area showing jerk magnitude
Vector Magnitude - Line showing combined vector strength
Radar Scan - Oscillating pattern for visual effect
Zone Lines - Upper and lower threshold lines
Divergence Labels - BULL DIV / BEAR DIV markers
Extreme Markers - Triangles at velocity extremes
Input Parameters
Velocity Period (default: 14) - Period for velocity calculation
Acceleration Period (default: 7) - Period for acceleration calculation
Divergence Lookback (default: 10) - Bars to scan for divergence
Radar Sensitivity (default: 1.0) - Zone threshold multiplier
Jerk Analysis (default: true) - Enable 3rd derivative calculation
Force Vectors (default: true) - Enable force analysis
Kinetic Energy (default: true) - Enable energy calculation
Momentum Conservation (default: true) - Enable momentum tracking
Suggested Use Cases
Identify momentum direction using velocity sign and magnitude
Watch for divergences as potential reversal warnings
Use acceleration to detect momentum shifts before price confirms
Monitor jerk for momentum stability assessment
Combine force and kinetic energy for conviction analysis
Timeframe Recommendations
Works on all timeframes. Higher timeframes provide smoother readings; lower timeframes show more granular momentum changes.
Limitations
Physics analogies are conceptual and not literal market physics
Divergence detection uses pivot-based lookback and may lag
Force calculation uses volume ratio as mass proxy
Kinetic energy is a derived metric, not actual energy
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management.
- Made with passion by officialjackofalltrades
EMA 9 vs VWMA 30 Portillo Valentin “It uses a 9‑period moving average and a volume‑weighted moving average. It gives a crossover signal, and the parameters can be adjusted.”
SessionVWAP + ORBThis TradingView Pine Script indicator combines two powerful intraday tools:
Multiple Rolling VWAPs: It plots up to four independent rolling (continuous) Volume Weighted Average Prices (VWAPs) with user-defined periods (e.g., 1-hour, 2-hour, 4-hour, daily). These are "anchored" to a customizable session start time and roll forward accurately without daily resets, providing dynamic fair-value benchmarks that react at different speeds (fastest/shortest on top).
Opening Range Breakout (ORB) Zones: It displays the high/low range (with optional background shading and lines) for major global trading sessions — Sydney, Tokyo, London, New York, and US RTH (Regular Trading Hours, starting at 9:30 ET) — over the first configurable minutes (default 30) after each session open, with history for several prior days.
The latest version adds full timezone flexibility (e.g., Chicago, New York, UTC, London, Tokyo, Sydney), automatically adjusting anchor times and session opens.
Use Case
This script is ideal for intraday and day traders (especially in stocks, futures, forex, or indices) seeking confluence between volume-based value areas and session momentum.
VWAP Component: Use the layered rolling VWAPs as dynamic support/resistance. Price above the fastest VWAPs suggests bullish bias; pullbacks to slower VWAPs offer mean-reversion entries. The multi-timeframe view helps gauge short-term vs. longer-term "fair value."
ORB Component: Trade breakouts from major session opening ranges — e.g., buy above the New York ORB high (red line) for momentum longs, or fade failures for reversals. Combine with VWAP (e.g., only take NY ORB longs if price is above session VWAP) for higher-probability filters.
Overall: Overlay on lower timeframes (1-15 min) to spot setups like ORB breakouts aligning with VWAP crosses, or use for risk management (stops beyond ORB extremes). The timezone support makes it versatile for global markets without manual adjustments.






















