Square-root Decay Volume ProfileThis indicator displays a custom price profile that mimics a volume profile using occurrence-based weighting rather than actual volume. It counts how often the selected price source (e.g., close) falls within each price bin over a lookback period. What makes it unique is the use of square-root time decay: more recent price occurrences are given greater importance, while older data is discounted proportionally to the inverse square root of its age.
Each bin's relative weight is visualized as a horizontal bar aligned to the right edge of the chart, showing where price has "spent time" more recently. This allows traders to identify areas of interest, balance zones, and potential support/resistance levels based on decayed price density.
Key Features:
Square-root decay weighting favors recent price action
Adjustable lookback period, bin count, and histogram width
Works with any price source (close, hl2, etc.)
Plots boxes directly on the chart for clear visualization
This tool is especially useful for discretionary traders seeking a price-centric alternative to traditional volume profiles, with an added emphasis on recency.
Volum
4 Anchored VWAPs This indicator shows 4 periods of Anchored VWAPs according to specific dates the user chose.
Volume Agregado Perp + Spot BTC only🔍 Aggregated Volume — Spot, Perpetual, or Both (with Bands & Alerts)
Overview:
This indicator aggregates volume data from multiple exchanges (Spot and Perpetual) into a single unified chart. It calculates the simple moving average (SMA) and standard deviation (STDEV) over the aggregated volume, and plots dynamic volume bands at customizable deviation levels.
Includes an option to display only Spot, only Perpetual, or both combined, and provides automatic alerts when volume breaks above or below each band level.
📊 How It Works
Fetches volume from top exchanges using request.security() (e.g., Binance, Bybit, Coinbase, OKX, Kraken, Bitget).
To avoid distortion caused by disproportionally large Perpetual contract volumes, perp data is normalized by dividing by 100. This brings it closer to Spot volume scale.
Computes SMA and STDEV of the aggregated volume, and plots upper/lower bands based on 1x, 2x, and 3x standard deviations.
Issues alerts when the current volume exceeds or drops below the defined thresholds.
🧠 Interpretation
Above Upper Bands (Lv1/Lv2/Lv3): Signals volume spikes, which can indicate breakouts, momentum ignition, or exhaustion moves depending on context. Higher levels (Lv3) suggest more extreme events.
Below Lower Bands: Indicates low activity, potential consolidation, or market pause.
Best used in combination with price structure, VWAP, order blocks, or volume delta/OI for deeper context.
⚙️ Parameters
SMA/STDEV Period – Default: 20 candles.
Band Levels (1/2/3 STDEV) – Fully configurable multipliers.
Volume Mode:
Spot – Only traditional spot exchange volume.
Perpetual – Only perpetual contracts (normalized).
Both – Combines both (default).
TOT Strategy, The ORB Titan (Configurable)This is a strategy script adapted from Deniscr 's indicator script found here:
All feedback welcome!
Win trades [Albassam]This script was inspired from my personal trading strategy for daily trades in 15 min frame.
main factor for trades in this indicator is:
Band : which indicates the range of movement
vwap : show momentum and type of the trend
how dose it work ?
please check the introduction video of the script
or whatsapp me : 0542228866
Zero Lag Moving AverageThis indicator is a trend detection tool that highlights significant momentum shifts with reduced lag. It uses two smoothed moving averages—fast and medium ZLEMAs—optionally enhanced with a Kalman filter to reduce noise. The indicator defines a bullish trend when the price is above both ZLEMAs, and bearish when it is below both. Rather than signaling every crossover, it focuses on trend changes, triggering buy or sell signals only when the trend flips (e.g., from bearish to bullish) and confirms those shifts with two filters: rising volume (above the 20-bar average) and a strong trend based on the ADX indicator. Visual features include optional candle coloring to reflect trend direction and signal markers (triangles) plotted only during a user-defined trading session. This setup helps traders act only on confirmed, high-quality momentum shifts, reducing false positives in low-volume or ranging markets.
SMC TimingThis indicator (“SMC Timing”) visually marks the exact moments when the market typically experiences large liquidity injections—moments that often trigger strong directional moves. By plotting dashed vertical lines and labels at key session boundaries and news events (Frankfurt open, London open, EU mid-session pause, Pre-US, US open, 14:30 U.S. news releases, 15:00 breakout window, and the London close), it draws your attention to the times when stop-runs and institutional orders tend to pile into the market.
Traders can use these timing zones to:
Anticipate liquidity sweeps where smart-money often liquidates weak positions or hunts stops.
Plan higher-probability entries just before or directly after these injections, reducing slippage and improving execution.
Improve win-rate consistency by aligning your trades with the natural ebb and flow of institutional flow rather than fading it.
With customizable session toggles, a “today-only” filter, and a small vertical offset to keep markers clear of price bars, this tool seamlessly integrates into any chart. Positioning yourself around these highlighted times helps you capture the bulk of intraday moves and avoids getting caught in low-liquidity chop.
Buy Sell Sniper Entry Background (based on EP Script by RedK)
Is this one of the most precise Buy Sell Indicators?
Only you can tell!
Based on the EP script by RedK EVEREX this indicator will color your background directly in your chart. Clean, easy, simple.
I did not alter any of their logic, nothing.
Looking for an even more precise entry option?
How about combining it with my first Background Indicator based on Williams Alligator.
The Candle coloring is based on this TUE ADX script
Happy Sniper Trading!
Adaptive Market Profile – Auto Detect & Dynamic Activity ZonesAdaptive Market Profile is an advanced indicator that automatically detects and displays the most relevant trend channel and market profile for any asset and timeframe. Unlike standard regression channel tools, this script uses a fully adaptive approach to identify the optimal period, providing you with the channel that best fits the current market dynamics. The calculation is based on maximizing the statistical significance of the trend using Pearson’s R coefficient, ensuring that the most relevant trend is always selected.
Within the selected channel, the indicator generates a dynamic market profile, breaking the price range into configurable zones and displaying the most active areas based on volume or the number of touches. This allows you to instantly identify high-activity price levels and potential support/resistance zones. The “most active lines” are plotted in real-time and always stay parallel to the channel, dynamically adapting to market structure.
Key features:
- Automatic detection of the optimal regression period: The script scans a wide range of lengths and selects the channel that statistically represents the strongest trend.
- Dynamic market profile: Visualizes the distribution of volume or price touches inside the trend channel, with customizable section count.
- Most active zones: Highlights the most traded or touched price levels as dynamic, parallel lines for precise support/resistance reading.
- Manual override: Optionally, users can select their own channel period for full control.
- Supports both linear and logarithmic charts: Simple toggle to match your chart scaling.
Use cases:
- Trend following and channel trading strategies.
- Quick identification of dynamic support/resistance and liquidity zones.
- Objective selection of the most statistically significant trend channel, without manual guesswork.
- Suitable for all assets and timeframes (crypto, stocks, forex, futures).
Originality:
This script goes beyond basic regression channels by integrating dynamic profile analysis and fully adaptive period detection, offering a comprehensive tool for modern technical analysts. The combination of trend detection, market profile, and activity zone mapping is unique and not available in TradingView built-ins.
Instructions:
Add Adaptive Market Profile to your chart. By default, the script automatically detects the optimal channel period and displays the corresponding regression channel with dynamic profile and activity zones. If you prefer manual control, disable “Auto trend channel period” and set your preferred period. Adjust profile settings as needed for your asset and timeframe.
For questions, suggestions, or further customization, contact Julien Eche (@Julien_Eche) directly on TradingView.
Parallax Momentum MNQ Strategy# 📈 Parallax Momentum MNQ Strategy
## Overview
The Parallax Momentum MNQ Strategy is a sophisticated support/resistance breakout system specifically designed for Micro Nasdaq futures (MNQ) trading (also works on minis). This strategy combines dynamic level detection with momentum confirmation to identify high-probability entry opportunities while maintaining strict risk management protocols.
## 🎯 Key Features
### Core Strategy Logic
- **Dynamic Support/Resistance Detection**: Automatically identifies key levels using configurable lookback periods
- **Momentum Confirmation**: Volume-based filtering ensures trades align with market momentum
- **ATR-Based Risk Management**: Adaptive stop losses and take profits based on market volatility
- **Dual Entry System**: Both long and short opportunities with limit order execution
### Risk Management
- **ATR-Adaptive Stops**: Stop losses and take profits automatically adjust to market volatility
- **Reward-to-Risk Ratios**: Configurable R:R ratios with default 2:1 minimum
- **Maximum Loss Protection**: Optional daily loss limits to prevent overtrading
- **Session Time Filtering**: Trade only during specified market hours
### Strategy Modes
- **Conservative Mode**: 0.8x risk multiplier for cautious trading
- **Balanced Mode**: Standard 1.0x risk multiplier (default)
- **Aggressive Mode**: 1.2x risk multiplier for active trading
## 📊 Visual Features
### Dashboard Display
- Real-time strategy status and performance metrics
- Current support/resistance levels and ATR values
- Live risk-to-reward ratios for potential trades
- Win rate, profit factor, and drawdown statistics
- Adjustable dashboard size and positioning
### Chart Indicators
- Support and resistance lines with labels
- ATR-based levels (+/-1 ATR and +/-2 ATR)
- Dynamic visual updates as levels change
- Configurable line extensions and styling
## ⚙️ Configuration Options
### Entry Filters
- **Volume Filter**: Optional volume confirmation above SMA
- **Session Time Filter**: 12-hour format time restrictions
- **ATR vs Fixed Stops**: Choose between adaptive or fixed tick-based exits
### Risk Controls
- **ATR Period**: Default 14-period ATR calculation
- **Stop Loss Multiplier**: ATR-based stop distance (default 1.5x)
- **Take Profit Multiplier**: ATR-based target distance (default 1.5x)
- **Secondary Take Profit**: Optional TP2 with position scaling
## 📋 How It Works
### Entry Conditions
**Long Trades**: Triggered when price closes above support buffer but low touches support level, with volume and session confirmation
**Short Trades**: Triggered when price closes below resistance buffer but high touches resistance level, with volume and session confirmation
### Exit Strategy
- **Primary Take Profit**: ATR-based target with 2:1 R:R minimum
- **Stop Loss**: ATR-based protective stop
- **Optional TP2**: Extended target for partial profit taking
- **One Trade at a Time**: No overlapping positions
## 🎛️ Default Settings
- **Lookback Period**: 20 bars for support/resistance detection
- **ATR Period**: 14 bars for volatility calculation
- **Stop Loss**: 1.5x ATR from entry
- **Take Profit**: 1.5x ATR with 2:1 reward-to-risk ratio
- **Session**: 7:30 AM - 2:00 PM (configurable)
## ⚠️ Important Notes
### Risk Disclaimer
- This strategy is for educational and informational purposes only
- Past performance does not guarantee future results
- Always use proper position sizing and risk management
- Test thoroughly on historical data before live trading
- Consider market conditions and volatility when using
### Best Practices
- Backtest on sufficient historical data
- Start with conservative mode for new users
- Monitor performance regularly and adjust parameters as needed
- Use appropriate position sizing for your account
- Consider broker commissions and slippage in live trading
## 🔧 Customization
The strategy offers extensive customization options including:
- Adjustable time sessions with AM/PM format
- Configurable ATR and risk parameters
- Optional maximum daily loss limits
- Dashboard size and position controls
- Visual element toggles and styling
## 📈 Ideal For
- MNQ (Micro Nasdaq) futures traders
- Intraday momentum strategies
- Traders seeking systematic entry/exit rules
- Risk-conscious traders wanting automated stops
- Both beginner and experienced algorithmic traders
---
**Version**: Pine Script v5 Compatible
**Timeframe**: Works on multiple timeframes (test on 1m, 3m, 5m, 15m)
**Market**: Optimized for MNQ but adaptable to other instruments
**Strategy Type**: Trend following with momentum confirmation
Previous VWAP Levels by Riotwolftrading The "Previous VWAP" indicator calculates and displays the previous session's Volume Weighted Average Price (VWAP) for five timeframes (Daily, Weekly, Monthly, Quarterly, Yearly).
Each VWAP is plotted as a horizontal line extending to the right edge of the chart, with customizable labels at the right to identify each level. The indicator is designed for traders who want to visualize key price levels from prior periods without cluttering the chart with current VWAPs or additional metrics like standard deviations.
**Functionality**:
- **Calculates Previous VWAPs**: Computes the VWAP for the previous session of each timeframe (Daily, Weekly, Monthly, Quarterly, Yearly) based on the input source (default: `hlc3`) and volume.
- **Visual Style** : Uses `line.new` to draw horizontal lines from five bars back to the current bar, ensuring the lines extend to the right edge of the chart. Labels are placed at the right edge using `label.new` for clear identification.
- **Customization** : Allows users to toggle visibility, adjust line styles, widths, colors, and label sizes, and choose between abbreviated or full label text.
- **Minimalist Design**: Focuses solely on previous VWAPs, omitting current VWAPs, rolling VWAPs, and standard deviation bands to keep the chart clean.
**Intended Use**: This indicator is useful for traders who rely on historical VWAP levels as support/resistance or reference points for trading decisions, particularly in strategies involving mean reversion or breakout trading.
---
### Rules and Features
*VWAP Calculation**:
- The VWAP is calculated as the cumulative sum of price (`src`) multiplied by volume (`sumSrcVol`) divided by the cumulative volume (`sumVol`) for each timeframe.
- The "previous VWAP" is the VWAP value from the prior session, captured when a new session begins (e.g., new day, week, month, etc.).
- The indicator uses the `hlc3` (average of high, low, close) as the default source, but users can modify this in the settings.
**Timeframes**:
- **Daily**: Previous day's VWAP.
- **Weekly**: Previous week's VWAP.
- **Monthly**: Previous month's VWAP.
- **Quarterly**: Previous quarter's VWAP (3 months).
- **Yearly**: Previous year's VWAP (12 months).
- New sessions are detected using `ta.change(time(period))` for each timeframe.
**Line Drawing**:
- Lines are drawn using `line.new` from `time ` (five bars back) to the current bar (`time`), ensuring they extend to the right edge of the chart.
- Lines are updated only on the last confirmed bar (`barstate.islast`) to optimize performance and avoid repainting.
- Previous lines are deleted (`line.delete`) to prevent overlapping or clutter.
**Labels**:
- Labels are drawn at the right edge (`x=time`, `xloc=xloc.bar_time`) with `label.new`.
- Users can choose between abbreviated labels (e.g., "pvD" for Previous Daily VWAP) or full labels (e.g., "Prev Daily VWAP").
- Label sizes are customizable (`tiny`, `small`, `normal`, `large`, `huge`).
- Labels are deleted (`label.delete`) on each update to maintain a clean chart.
5. **Customization Options**:
- **Visibility**: Toggle each VWAP (Daily, Weekly, Monthly, Quarterly, Yearly) on or off.
- **Colors**: Individual color settings for each VWAP line and label (default colors: Daily=#E12D7B, Weekly=#F67B52, Monthly=#EDCD3B, Quarterly=#3BBC54, Yearly=#2665BD).
- **Line Style**: Choose from `solid`, `dotted`, or `dashed` lines.
- **Line Width**: Adjustable from 1 to 4 pixels.
- **Label Settings**: Enable/disable labels, abbreviate text, and select label size.
- **Source**: Customize the price source (default: `hlc3`).
**Performance Optimization**:
- The indicator only updates lines and labels on the last confirmed bar to minimize computational overhead.
- Uses `var` to initialize variables and avoid unnecessary recalculations.
- Deletes previous lines and labels to prevent chart clutter.
---
### Usage Instructions
1. **Add to Chart**:
- In TradingView, go to the Pine Editor, paste the script, and click "Add to Chart."
- The indicator will overlay on the price chart, showing previous VWAP lines and labels.
2. **Configure Settings**:
- Open the indicator settings to customize:
- Toggle visibility of each VWAP timeframe.
- Adjust colors, line style, and width.
- Enable/disable labels, choose abbreviation, and set label size.
- Modify the source if needed (e.g., use `close` instead of `hlc3`).
3. **Interpretation**:
- **Previous VWAPs**: Act as dynamic support/resistance levels based on the prior session's volume-weighted price.
- **Timeframes**: Use shorter timeframes (Daily, Weekly) for intraday/swing trading, and longer timeframes (Monthly, Quarterly, Yearly) for positional trading.
- **Labels**: Identify each VWAP level at the right edge of the chart for quick reference.
4. **Best Practices**:
- Use on charts with sufficient volume data, as VWAP relies on volume (a warning is triggered if no volume data is available).
- Combine with other indicators (e.g., moving averages, RSI) for confirmation in trading strategies.
- Adjust line styles and colors to avoid visual overlap with other chart elements.
---
### Example Use Case
A trader using a 1-hour chart can add the "Previous VWAP" indicator to identify key levels from the prior day, week, or month. For example:
- The Previous Daily VWAP might act as a support level for a bullish trend.
- The Previous Weekly VWAP could serve as a target for a swing trade.
- Labels at the right edge make it easy to identify these levels without cluttering the chart.
This indicator provides a clean, customizable way to visualize previous VWAPs, making it ideal for traders who want historical price context with minimal chart noise. For the complete Pine Script code, refer to the artifact provided in the previous response.
Buy Volume Spike AlertBuy Volume Spike Alert multi timeframe volume sahaja Buy Volume Spike Alert multi timeframe volume sahaja Buy Volume Spike Alert multi timeframe volume sahaja Buy Volume Spike Alert multi timeframe volume sahaja Buy Volume Spike Alert multi timeframe volume sahaja
Order Block Finder - yzeen ayoubCore Concept
Order blocks represent areas where large institutional traders (banks, hedge funds) have placed significant orders, creating zones of potential support or resistance. The script identifies these zones by looking for specific candlestick patterns.
How It Detects Order Blocks
Bullish Order Blocks
Formation: Starts with a single bearish candle (close < open)
Confirmation: Followed by a sequence of consecutive bullish candles
Displacement: Price must move up by a minimum percentage from the formation candle
Bearish Order Blocks
Formation: Starts with a single bullish candle (close > open)
Confirmation: Followed by a sequence of consecutive bearish candles
Displacement: Price must move down by a minimum percentage from the formation candle
Key Features
Visual Elements
Rectangles: Draw the actual order block zones using the high/low of formation candles
Equilibrium Lines: Show the middle point of each order block
Risk/Reward Lines: Display stop loss (SL), 2R, and 3R take profit levels
Color Themes: Bright or dark color schemes
Customizable Parameters
Confirmation Candles: How many consecutive candles needed (default: 5)
Display Count: Maximum order blocks to show (default: 20)
Minimum Displacement: Required percentage move after formation (default: 0.2%)
Visual Options: Toggle equilibrium lines, risk/reward levels, signature
Smart Features
Array Management: Automatically removes old order blocks to keep chart clean
Alert System: Notifies when price enters an order block zone
Performance Optimized: Uses efficient counting functions instead of complex loops
Trading Logic
The script assumes that:
Institutional Imbalance: The formation candle represents institutional order flow
Retail Response: The confirmation sequence shows retail traders responding
Future Reaction: When price returns to these zones, it may find support/resistance
Practical Use
Traders use this to:
Identify high-probability entry zones
Set stop losses below/above order blocks
Target 2R and 3R profit levels
Get alerts when price approaches these critical zones
The script essentially automates the process of finding these institutional footprints that many smart money traders look for manually.
Yuri Garcia Smart Money Strategy FULL (COMPLIANT)Yuri Garcia Smart Money Strategy FULL (Slope Divergence)
This script is not a mashup of random indicators. It is an original, coherent strategy that blends multiple institutional-grade tools to form a unified Smart Money trading system. Each component contributes to precise trade filtering, context, and confirmation — no element is decorative or redundant.
🔍 Strategy Logic: How It Works
This strategy integrates the following tools, each with a clearly defined role:
1. Volume Cluster Zones (Orange bands)
Identifies strong buy/sell areas using the highest volume nodes over a rolling window. These act as dynamic points of control where Smart Money is likely active.
2. HTF Zones (4H) (Purple band)
Defines institutional zones by using the 20-bar high/low on the 4-hour chart. These set the outer bounds for valid entries, ensuring alignment with larger market structure.
3. Wick Pullback Filter (Orange circle 🔶)
Detects exhaustion or absorption near zones. Used to confirm genuine rejection after liquidity sweeps or traps.
4. Cumulative Delta Confirmation (Red square 🟥)
Analyzes whether buyers or sellers are dominant using delta volume. Trades only trigger when volume confirms the intended direction.
5. Slope-Based Delta Divergence (Optional)
Detects hidden reversals between price and delta. This prevents late entries and provides early insight into potential trap reversals.
6. Liquidity Grab Detection (Blue diamond 🔷)
Marks smart money stop hunts — temporary price breaks beyond highs/lows, followed by reversal. Used as a confluence tool.
7. ATR-Based Dynamic Risk Control
The strategy uses ATR to calculate SL/TP dynamically. This allows position sizing to adjust to volatility, reducing overexposure in high-momentum conditions.
🎯 Entry Criteria
All the following conditions must be met:
✅ Price is inside a Volume Cluster Zone
✅ Price is within the HTF Institutional Zone
✅ Wick Pullback confirms reaction
✅ Delta confirms strength of buyers/sellers
✅ (Optional) Slope-based divergence signals hidden shift
✅ (Optional) Liquidity grab occurs
Only then will the strategy trigger an entry.
📈 Visual Legend (Symbols on Chart)
Symbol Description
🟣 Purple Zone HTF Support/Resistance zone (4H context)
🟠 Orange Zone Volume cluster from top 3 volume nodes
🔶 Orange Circle Wick Pullback confirmation
🟥 Red Square Delta Confirmation
🔷 Blue Diamond Liquidity Grab indicator
🔵 Blue X Price is inside HTF Zone
🔻 Red Triangle SHORT entry signal
🔺 Green Triangle LONG entry signal
These visuals make it easier to read the chart intuitively while understanding each condition’s role.
⚙️ Strategy Settings Justification
Default Qty: 2% of equity (sustainable risk)
RRR: 2.0 (adaptive to volatility)
ATR Multiplier: 2.0 for SL/TP
Commission: 0.1% used
Slippage: 2 points for realism
Minimum Trades for Testing: Designed to generate over 100 trades under normal backtest conditions
Dataset: Supports BTC, GOLD, Forex, Indices with realistic volatility and volume
These settings reflect a realistic use case for average retail traders and avoid overfitting or unrealistic returns.
📌 How to Use
Apply on 15-minute or 1-hour timeframe.
Wait for full alignment of all entry conditions.
Confirm visually or use included alerts for manual or bot execution.
SL and TP are automatically handled.
🚫 Important Notes
This script is original, not a remix or mashup of unrelated indicators.
Each component was designed to work in harmony, enhancing trade quality and confidence.
No external scripts are required to function.
Alert messages are pre-formatted for both manual and webhook use.
Matrix Trading Strategy**Matrix Trading Strategy** is a multi-signal framework designed to identify and exploit intraday trends with controlled precision. It combines three independent entry engines—Opening Range Breakout (ORB), Ultimate Trend via ATR trailing, and a moving average crossover (MA Cross)—which can operate alone or in any combination, offering traders maximum flexibility.
Risk management is fully parameterizable: position sizing by percent of equity, fixed cash amount, or fixed quantity; SL/TP in pips aligned to the instrument’s tick size (`pipSize`); automatic break-even; ATR-based trailing stop (with an option to anchor to the UT line itself); and configurable partial exits (TP1/TP2). Daily trade limits, entry cooldowns, and forced end-of-session liquidation enforce strict discipline.
Visually, the script plots EMAs, a 1-minute VWAP, ORB levels, the UT trailing line, and signal markers, and it colors candles by RSI for rapid momentum assessment. Ready-to-use alerts for ORB, UT, and MA signals support seamless automation via webhooks.
All together, Matrix Trading is a modular framework that adapts effortlessly to cryptocurrencies, metals, or global indices, delivering realistic executions and transparent metrics in both backtests and live trading.
ASK Indicator by AshpreetThe ASK Indicator is a custom-built breakout and trend continuation system designed for swing traders seeking high-probability entries with strong risk-reward ratios. Built using a combination of moving averages, momentum filters, volume confirmation, and price structure, this indicator helps identify stocks poised for explosive moves.
It uses three key moving averages: the 44-period SMA (medium trend), 20-period DEMA (short-term strength, custom-coded), and 50-period WEMA (institutional trendline). Trades are only triggered when the price is above 50 WEMA, and the 20 DEMA is above the 44 SMA.
Momentum is confirmed using RSI(14) within a healthy zone of 40–60, ensuring the stock is not overbought or oversold. To focus on breakout candidates, the stock must be trading within 10% of its 52-week high, and the weekly candle range must be under 10%, signaling compression before expansion.
A valid ASK Signal occurs when these conditions are met along with a breakout above the previous day’s high and volume exceeding 1.5× the 20-day average. Once triggered, the indicator auto-plots the stop-loss (1× ATR) and two profit targets: 1:2 (TP1) and 1:4 (TP2).
Additionally, the system detects a narrow range setup, where the last 3 daily candles are inside the previous 3-day range — a powerful consolidation signal. Alerts for both ASK entries and narrow ranges are included.
This system is ideal for positional and short-term swing traders who want to combine structure, momentum, and volume in one powerful tool.
Crypto Volume Data (VAH,POC,VAL)Crypto Volume Data (VAH, POC, VAL) — Multi-Exchange Aggregated Volume Zones
This indicator delivers a high-precision volume profile for crypto assets by aggregating real traded volume across Binance, Bybit, Coinbase, Kraken, OKX, and MEXC. It auto-detects multiple quote pairs (USD, USDT, USDC, FDUSD, USDT.P, USDC.P) and merges the live volume distribution respecting each exchange’s volume for that symbol to calculate institutional-grade VAH, POC, and VAL levels.
No matter which symbol or pair from which exchange is open on the chart, the script dynamically detects the base asset and fetches volume from all matching pairs on supported exchanges. For example, whether you load BTC/USDT, ETH/USDT.P, or SOL/FDUSD, the system identifies the symbol and aggregates volume from all relevant pairs of that symbol across all mentioned exchanges, weighting them based on real volume. This leads to significantly more accurate value areas — especially compared to single-source or single-pair profiles that miss fragmented liquidity and the real volume of each exchange.
This script is fully plug-and-play. There’s no need to select lookback windows or configure pairs — it's already optimized with pre-set internal parameters for common trading timeframes. (Still, you can adjust for your needs in the settings, but keep in mind more lookback is not necessarily a good thing — it might affect the accuracy of your output depending on the timeframe.)
Key Features:
Live aggregation of volume across 5 exchanges
Supports most listed altcoins with reliable quote pair coverage
Dynamic auto symbol/quote detection and normalization
Automatically adapts to any crypto chart without user setup
Real institutional zones — not synthetic, not heuristic
Why It Matters:
In fragmented crypto markets, liquidity isn’t centralized. Volume for a coin like ETH may be split between USDT on Binance, USD on Kraken, or USDC on MEXC. Most indicators ignore that. This tool doesn’t. It brings that volume together to provide the most contextually accurate VAH/POC/VAL levels possible, tailored to the charted asset and timeframe.
This isn't just another volume indicator. It’s built from the ground up to capture where the real trades happen — not just where price moved — and shows you the zones that institutions and large players respect.
Disclaimer:
This tool is for educational and informational purposes only. It does not constitute financial advice or an invitation to trade. Always do your own research and manage risk responsibly.
Credits:
Volume unification logic, cross-pair normalization, and exchange weighting system developed by me. No third-party libraries or reused scripts involved. Original architecture built from scratch for high-resolution crypto volume profile analysis.
Note:
Script designed to respect TradingView limits for both free and paid accounts, with a smart fallback system in case of hitting the limit. If you find any bug, error, or issue, kindly comment below. I will address and fix them ASAP.
Enjoy and cheers.
Market Energy – Trend vs Retest (with Saturation %)Market Energy – Trend vs Retest Indicator
This indicator measures the bullish and bearish energy in the market based on volume-weighted price changes.
It calculates two smoothed energy waves — bullish energy and bearish energy — using exponential moving averages of volume-adjusted price movements.
The indicator detects trend changes and retests by comparing the relative strength of these waves.
A saturation percentage quantifies the intensity of the current dominant side (bulls or bears) relative to recent highs.
- High saturation (>70%) indicates strong momentum and dominance by bulls or bears.
- Low saturation (<30%) suggests weak momentum and possible market indecision or consolidation.
The background color highlights the current control: green for bulls, red for bears, with transparency indicating the saturation level.
A label shows which side is currently in control along with the saturation percentage for quick interpretation.
Use this tool to identify strong trends, possible retests, and momentum strength to support your trading decisions.
MP Master VWAP [BackQuant]MP Master VWAP
Overview
MP Master VWAP is an, volume-weighted average price suite. It re-anchors automatically to any time partition you select—Day, Week, Month, Quarter or Year—and builds an adaptive standard-deviation envelope, optional pivot clusters and context-aware candle colouring so you can read balance, imbalance and auction edges in a single glance. We use private methods on calculating key levels, making them adaptive and more responsive. This is not just a plain VWAP.
Key Components
• Anchored VWAP core – The engine resets VWAP the instant a new session for the chosen anchor begins. Separator lines and a live high–low box make those rotations obvious.
• Dynamic sigma bands – Three upper and three lower bands, scaled by real-time standard deviation. 1-σ filters noise, 2-σ marks momentum, 3-σ flags exhaustion.
• Previous-period memory – The prior session’s VWAP and bands stay on-screen in a muted style so you can trade retests of last month’s value without clutter.
• High-precision price labels – VWAP and every active band print their prices on the hard right edge; labels vanish if you want a cleaner chart.
• Pivot package – Choose Traditional, Fibonacci or Camarilla calculations on a Daily, Weekly or Monthly look-back. Levels plot as subtle circles that complement, not compete with, the VWAP map.
• Context candles – Bars tint relative to their location: vivid red above U2, soft red between U1-U2, neutral grey inside value, soft green between L2-L1, vivid green below L2.
Customisation Highlights
Period section
• Anchor reset drop-down
• Toggles for separator lines and period high/low
Band section
• Independent visibility for L1/U1, L2/U2, L3/U3
• Individual multipliers to fit any volatility profile
• Optional real-time price labels
Pivot section
• Three formula choices
• Independent timeframe—mix a Monthly VWAP with Weekly Camarilla for confluence
Visual section
• Separate switches for current vs previous envelopes
• Candle-colour toggle for traders who prefer raw price bars
Colour section
• Full palette selectors to match dark or light themes instantly
Some Potential Ways it can be used:
Mean-reversion fade – Price spikes into U2 or U3 and stalls (especially at a pivot). Fade back toward VWAP; scale out at U1 and VWAP.
Trend continuation – Close above U1 on rising volume; trail a stop behind U1. Mirror setup for shorts under L1.
Breakout validation – Session gaps below previous VWAP but quickly reclaims it. Use the cross-above alert to automate entry and target U1 / U2.
Overnight inventory flush – Globex extremes that tag L2 / U2 often reverse at the cash open; scalp rotations back to VWAP.
Risk framing – Let the gap between VWAP and L2 / U2 dictate position size, keeping reward-to-risk consistent across assets.
Alerts Included
• Cross above / below current VWAP
• Cross first sigma bands (U1 / L1)
• Break above second sigma bands (U2) or below L2
• Touch of third sigma bands (U3 / L3)
• Cross of previous-period VWAP
• New period high or low
Best Practices
• Tighten sigma multipliers on thin-liquidity symbols; widen them on index futures or high-cap crypto.
• Pair the envelope with order-flow or footprint tools to confirm participation at band edges.
• On intraday charts, anchor a higher-timeframe VWAP (e.g., Monthly on a 15-minute) to reveal institutional accumulation.
• Treat the previous period’s VWAP as yesterday’s fair value—gaps that never revisit it often morph into trend days.
Final Notes
MP Master VWAP condenses auction-market theory into one readable overlay: automatic period resets, adaptive deviation bands, historical memory, multi-style pivots and self-explanatory colour coding. You can deploy it on equities, futures, crypto or FX—wherever volume meets time, VWAP remains the benchmark of true price discovery.
Auto AVWAP (Anchored-VWAP) with Breakout ScreenerAuto AVWAP (Anchored-VWAP) with Breakout Screener. fINAL VERSION
ZenAlgo - DeltaThis indicator visualizes cumulative delta volume across multiple exchanges and trading pairs, with optional moving averages, divergence detection, and contextual labeling. It aggregates buy and sell volume from both spot and perpetual markets, applying normalization and visual encoding to highlight volume flow dynamics over time.
Volume Aggregation Logic
The script starts by collecting volume data from up to nine exchanges. It distinguishes between spot (e.g., USDT, USD) and perpetual markets (e.g., USDT.P, USD.P) using dynamically constructed tickers based on the asset's base currency. For each enabled exchange, it fetches volume using request.security , filtering out invalid or zero-volume responses.
Each set of volume data (spot1, spot2, perp1, perp2) is then processed through a reducer function that combines the values using a selected method—sum, average, median, or variance. These processed volumes are further categorized and summed into total spot and perp volume streams, forming the basis for downstream delta computations.
Delta Calculation
For each bar, the script decomposes the candlestick into wick and body proportions, calculating how much of the total volume might be attributed to upward or downward pressure. This estimation weights the volume by the visual structure of the candle—larger bodies and upper wicks in bullish candles suggest buying pressure; inverse logic applies for bearish candles.
These estimated buy and sell volumes are then subtracted to derive per-bar delta. A cumulative delta series is computed by summing this bar-by-bar delta across a user-defined window length.
Divergences on Delta
Fractal logic is applied to detect local highs and lows in the cumulative delta series. These points serve as anchors for divergence comparisons:
Regular divergences identify price making higher highs (or lower lows) while delta makes lower highs (or higher lows).
Hidden divergences look for the opposite (price pullback vs delta continuation).
The same logic is applied independently to:
Raw cumulative delta
A primary delta moving average
A secondary, slower moving average
Each can be configured with different lookback lengths and moving average types (SMA, EMA, WMA, HMA, RMA).
The divergence logic gains additional value when used in tandem with the delta moving averages and contextual temperature state. For example, a divergence detected on the slower delta average while the temperature band is in an “Extreme Hot” or “Cold” zone may indicate a more meaningful exhaustion event. This layered approach allows users to filter weaker divergences and focus on those that align with broader delta context.
Gradient and Temperature Context
A third moving average (e.g., WMA(50)) is used to provide a contextual "temperature" state of the delta environment. Based on deviations from its own mean and standard deviation, this third MA is classified into zones:
"Extreme Hot", "Hot", "Warm"
"Neutral"
"Cool", "Cold", "Extreme Cold"
These zones are encoded using color and transparency gradients in the chart’s background. This helps identify periods where delta conditions are statistically stretched or compressed relative to recent history.
EMA Cross Conditions
The script tracks crossover events between the short and long EMAs of delta, especially when these align with a directional shift in cumulative delta (e.g., zero-line cross). If confirmed by volume skew (more buy than sell or vice versa), specific visual markers are plotted.
Labels and Informational Lines
Dynamic labels are rendered on the latest bar showing:
Cumulative delta and last divergence
EMA values and associated divergence
"Slow MA" value and its temperature state
These labels float next to the latest values, using thematic or neutral colors based on user preference.
Buy/Sell Pressure Tables
Two optional tables display breakdowns of:
Buy vs Sell volume
Their percentage contribution
Net delta value
Market condition label (e.g., "Full Bull", "Bearish")
These are calculated over the selected lookback period and color-coded accordingly.
An experimental table compares raw and aggregated spot/perpetual volume contributions and their percentage skew.
Background Highlight Logic
Background colors are conditionally rendered based on buy/sell volume dominance. Several thresholds exist:
2x or 3x buy volume dominance → greenish tones
2x or 3x sell volume dominance → reddish tones
Combined with temperature overlays, this highlights areas of potentially high conviction from either side.
Cross Conditions
The script detects situations where cumulative delta crosses under buy/sell volume thresholds. Visual dots mark:
Negative delta intersecting rising sell volume
Positive delta intersecting rising buy volume
This provides additional cues when short-term volume shifts might contradict recent cumulative flow.
How to Interpret Values
Cumulative Delta (AggDelta): Tracks net buy vs sell pressure over time. A rising delta suggests persistent buying pressure, and vice versa.
Temperature State: Places delta flow into historical context. “Extreme Hot” implies sustained positive flow, possibly overextended; “Cold” signals inverse.
EMA Lines: Short- and long-term smoothing of delta for trend and divergence detection.
Cross Events: Represent moments when short EMA crosses over delta or long EMA, often signaling a directional momentum change.
Tables and Labels: Quantify volume dominance and flow state, helping assess if flow aligns with price structure.
How to Best Use
For context: Observe overall slope and temperature of the third MA. High deviations often precede cooling or reversal.
For confluence: Look for alignment between price structure (e.g., higher highs) and delta divergence to identify exhaustion or continuation.
For short-term timing: Watch EMA crosses and volume conditions (e.g., buy volume increasing while delta crosses above zero).
Added Value Compared to Other Free Indicators
Multi-exchange Aggregation: Includes spot and perp data across major exchanges with flexible inclusion settings.
Granular Delta Estimation: Uses candle body/wick proportions rather than simple up/down tick assumptions.
Context-Aware Visualization: Integrates volume gradient, statistical deviation zones, and divergence overlays in one compact view.
Highly Customizable: Users can fine-tune divergence, moving average, color scheme, and table display independently.
Integrated View with Synergistic Logic: Unlike using several isolated scripts, this indicator unifies delta flow, divergence, volume dominance, and statistical context into one coherent framework. This synergy reduces the need to reconcile signals from different sources and allows for clearer judgment when multiple conditions align.
Limitations and Disclaimers
Delta Approximation: Calculated using heuristic candle shape assumptions; not a tick-level order book delta.
Exchange Coverage: Relies on availability of correct tickers and historical volume data via TradingView’s request.security .
Visual Lag: Cumulative delta and divergence patterns may develop over several bars and are not predictive on their own.
No Entry Signals: This indicator does not provide trading signals, nor does it evaluate risk or price targets.
Additional Limitations
This indicator estimates delta from candle shape and volume distribution heuristics. In low-liquidity markets or on lower timeframes, this estimation may misrepresent actual flow dynamics, especially during volatile spikes or news-driven moves. Divergence patterns may appear with delay or persist without price reaction, particularly in ranging or algorithmically driven markets. Users should combine these tools with broader context and price action awareness rather than relying on isolated delta events.
Opening Range Breakout (08:00 - 08:15 NY) - AAPNIndicador que marca la apertura de Forex en NY a 15 minitos, la primera vela
