The BLUE Red Candle Swing w AlertsThe script is for high probability swing entries based on a extremely strong bearish candles which typically come right before a green push up.
When a bearish candle has a higher than average ATR, it is a sign that there could be a large reversal coming next.
Use this indicator to help you set the stop loss and take profit based on the range of the highlighted Red candle.
*So if the ATR of this candle is $3.00 then set a $3.00 stop loss and take profit.
There is also a sc
Rules for the ATR RED/Blue Impulse candle
*Use the 50% line or midline of the candle to help refine your entries
*Use the range of the Blue candle as your stop loss range and for your 1st take profit target!
*Add more positions if there is a clear trend after the candle
ווליום
ATR Volatility Impulse Candles (Bull & Bear)This indicator highlights unusually strong momentum candles using ATR as a volatility filter. Treyding Stocks was the inspiration behind this powerful swing indicator!
A candle is marked only when its body is larger than the Average True Range, meaning price moved farther than normal for that timeframe. This filters out noise and focuses attention on candles that often matter most.
Lime green candles represent strong bullish impulse. They occur when price closes above the open and the candle body is larger than ATR. These candles often show aggressive buying, late-stage momentum, or exhaustion before a reversal.
Blue candles represent strong bearish impulse. They occur when price closes below the open and the candle body is larger than ATR. These candles often signal aggressive selling, liquidation, stop runs, or breakdown confirmation.
The indicator includes alerts for both bullish and bearish impulse candles, allowing traders to monitor multiple charts without watching them constantly.
Traders commonly use this tool to identify momentum exhaustion, reversal zones, and high-impact candles near VWAP, key moving averages, or important price levels. It works on any timeframe, does not repaint, and is designed to keep the chart clean while highlighting only the most meaningful price moves.
The Red (Blue) candle is very useful for swings especially on the Daily chart
*When the Blue (RED) candle appears, mark the high/low, and enter when the next candle breaks /closes above it.
The Systemtable viewed bullish/bearish indicator. uses 9 & 20 ema crossings along with macd & rsi to identify the bullish/bearish trend. ability to toggle vwaps + emas.
Goal to consolidate the various indicators for users that don't pay for premium ++
Chart Wolf WLR Toolkit (VWAP + PDH/PDL + Kill Zone)Overview
This indicator is a single, unified trading framework that combines context → levels → confirmation → execution into one workflow. It is not a “mashup” of unrelated indicators — each component feeds the next step of the decision process so you can make the same type of decision every day with less chart clutter.
What makes it original
Most indicators independently display signals (trend, sessions, levels, etc.). This script is original in that it links components into a structured sequence:
Context (where and when): identifies market session/time context and key reference zones.
Key Levels (what matters): plots specific levels that price reacts to (e.g., previous day levels, value area levels, VWAP / anchors, etc.).
Confirmation (why now): requires price behavior to confirm acceptance/rejection around those levels instead of firing signals randomly.
Execution (how to trade it): provides clear entry/exit visualization and risk reference points once confirmation conditions are met.
How it works (conceptual logic)
The script follows a simple cause-and-effect model:
Reference levels define “decision areas” (places where liquidity and reactions commonly happen).
Price interacting with a decision area triggers state tracking (e.g., approaching level → testing level → rejection/acceptance).
A signal only appears when a complete sequence occurs (example: sweep/test → rejection/acceptance confirmation → continuation cue).
Optional filters (session, volatility, trend bias, etc.) reduce low-quality signals by requiring trades to occur in the intended conditions.
How to use it (step-by-step)
Choose your market & timeframe
Recommended: use a higher timeframe for context, lower timeframe for entries.
Example workflow: 15m for context + 5m/1m for execution.
Mark the decision areas
Use the plotted levels as “zones of interest.”
Your job is to wait for price to interact with these zones.
Wait for confirmation
Only take signals that occur at or near decision areas.
If price is chopping in the middle (between key levels), avoid trading.
Execute with defined risk
Stops should be placed beyond the rejection/sweep point or beyond the decision zone (depending on your strategy).
Targets can be the next major level plotted by the script.
Settings (what to adjust)
Session filter: turn on if you only trade specific hours (e.g., NY open).
Level visibility: hide levels you don’t use to reduce clutter.
Signal strictness: increase strictness to reduce frequency and improve quality; decrease for more signals.
Alerts: enable alerts for confirmed signals only (recommended).
Best practices
This tool performs best when you treat signals as confirmation, not “auto-trades.”
Always prioritize trades that occur at major levels during high-liquidity hours.
Backtest your market/timeframe combo before using it live.
Notes / limitations
Like all indicators, it does not predict the future; it organizes decision-making around recurring market behaviors.
Signals can appear during news volatility; consider disabling trading during major scheduled events.
Smart Trader,Episode 1, by Ata Sabanci | Unified Matrix⚠️ **CRITICAL: READ BEFORE USING** ⚠️
This strategy is **100% VOLUME-BASED** and requires **Lower Timeframe (LTF) intrabar data** for accurate calculations. Please understand the following limitations before using:
**📊 DATA ACCURACY LEVELS:**
• **1T (Tick)** — Most accurate, real volume distribution per tick
• **1S (1 Second)** — Reasonably accurate approximation
• **15S (15 Seconds)** — Good approximation, longer historical data available
• **1M (1 Minute)** — Rough approximation, maximum historical data range
**⚠️ BACKTEST & REPLAY LIMITATIONS:**
• TradingView's Strategy Tester uses historical LTF data which may be limited depending on your subscription plan
• Replay mode results may differ from live trading due to data availability
• For longer backtest periods, use higher LTF settings (15S or 1M)
• Not all symbols/exchanges support tick-level data
• Crypto and Forex typically have better LTF data availability than stocks
**💡 A NOTE ON TOOLS:**
Successful trading requires proper tools. Higher TradingView plans provide access to more historical intrabar data, which directly impacts the accuracy of volume-based calculations. More precise volume data leads to more reliable signals. Consider this when evaluating your trading infrastructure.
**WHY "EPISODE 1"?**
This strategy is titled "Episode 1" because it focuses exclusively on **Highest Buyers (HB)** — a single but powerful concept in volume analysis.
**The Philosophy:**
A single high-volume buying event can tell us a story about market psychology:
• Where did the biggest buyers enter?
• How much of their power remains?
• Are sellers consuming their advantage?
• At what rate is the balance shifting?
By focusing on just ONE aspect of volume analysis, traders can deeply understand how a buying surge affects future price action before moving to more complex multi-factor analysis.
**The Reality:**
This script alone is approximately **2000 lines of code** — and it only analyzes buyers. A comprehensive system covering all aspects (sellers, combined analysis, multi-timeframe correlation) would be significantly larger and computationally heavier. Breaking this into focused modules allows for:
• Deeper understanding of each component
• Lighter, more responsive scripts
• Educational progression from simple to complex
**OVERVIEW**
Smart Trader EP1 is a volume-based trading strategy that tracks the balance of power between buyers and sellers through the lens of the **Highest Buyers event**. Unlike traditional indicators that rely on price patterns or mathematical formulas, this strategy analyzes *actual volume flow* to identify who is in control of the market.
The core philosophy is simple: **markets move when one side (buyers or sellers) exhausts their power while the opposing side accumulates strength.** By measuring this power shift in real-time, the strategy identifies high-probability entry and exit points.
**HOW IT WORKS**
**1. Volume Engine**
The strategy splits each candle's volume into buying volume and selling volume using intrabar data. In *Intrabar (Precise)* mode, it uses actual tick-by-tick or second-by-second data to calculate the exact buy/sell distribution. In *Geometry* mode, it approximates based on candle structure (close position within the range).
**2. Event Detection**
Within the lookback window, the strategy identifies key events:
• **HB (Highest Buyers)** — The candle with maximum buying volume (potential resistance when exhausted)
• **HS (Highest Sellers)** — The candle with maximum selling volume (potential support when exhausted)
• **LB (Lowest Buyers)** — The candle with minimum buying volume (buyer absence)
• **LS (Lowest Sellers)** — The candle with minimum selling volume (seller absence)
These events create dynamic support and resistance levels based on actual volume, not arbitrary price levels.
**3. Power Tracking (Attrition Model)**
For the Highest Buyers event (HB), the strategy tracks:
• **Start Power (X)** — The initial buying volume at the HB event
• **Consumed Power (Y)** — How much selling volume has accumulated since the event
• **Remaining Power (Z)** — Start Power minus Consumed Power (X - Y)
• **Opponent Dominance** — When Remaining Power goes negative (Z < 0), sellers have overtaken buyers
Think of it like a battle: buyers establish a position (HB), and sellers gradually consume their power. When buyers' power is exhausted (Remaining Power ≤ 0), sellers have taken control.
**4. Depletion Markers**
Visual markers appear on the chart when power reaches critical thresholds:
• **🔋** — Buyers consumed 100% (Remaining = 0)
• **🚨** — Buyers consumed 200% (Opponent Dominance = 100%)
• **🪫** — Sellers consumed 100%
• **⚠️** — Sellers consumed 200%
**5. Cumulative Delta**
Beyond tracking power at specific events, the strategy calculates the cumulative buy volume minus sell volume since the HB event. This shows the *net flow* of money:
• **Positive Delta** — More buying than selling since HB (bullish pressure)
• **Negative Delta** — More selling than buying since HB (bearish pressure)
**6. Trend Channel**
A 5-point linear regression channel identifies the current trend:
• **UPTREND** — Both upper and lower channel lines slope upward
• **DOWNTREND** — Both lines slope downward
• **RANGING** — Mixed or flat slopes
The strategy also tracks where the HB event occurred within this channel (TOP, UPPER, MIDDLE, LOWER, BOTTOM) to contextualize the signal.
**7. Nearest Event Analysis**
The strategy identifies which event is closest to the current candle and analyzes the price action *after* that event:
• How many bullish vs bearish candles followed?
• Does post-event momentum confirm or contradict the event type?
This prevents false signals when, for example, a bearish event occurs but is immediately followed by strong bullish candles.
**SIGNAL LOGIC**
**🟢 LONG Signal Conditions:**
• Uptrend with positive cumulative delta and buyers accumulating
• At channel bottom/lower with strong buyer power remaining
• After a bearish event (HS) with bullish post-event momentum (reversal signal)
• Ranging market with positive delta and strong power
**🔴 SHORT Signal Conditions:**
• Downtrend with negative cumulative delta and sellers in control
• Opponent Dominance (buyer power exhausted) with bearish momentum
• Buyer Trap: HB at TOP in uptrend but power exhausted and delta negative
• After a bullish event (HB) with bearish post-event momentum (trap signal)
**⏳ NO_TRADE Conditions:**
• Conflicting signals (e.g., bearish event but bullish post-momentum)
• Ranging market without clear direction
• Mixed power readings
• Price position contradicts signal direction
**STRATEGY EXECUTION**
**Entry Rules:**
• Enter LONG when signal is "LONG" and conditions are valid
• Enter SHORT when signal is "SHORT" and conditions are valid
• **Pyramid**: Up to 2 entries allowed in the same direction (configurable)
• Each entry uses 10% of equity by default
• Only one entry per confirmed candle (prevents multiple fills)
**Stop Loss (Event Line Based):**
• **LONG positions**: Stop Loss placed below the HS line (seller support level)
• **SHORT positions**: Stop Loss placed above the HB line (buyer resistance level)
• A small buffer percentage is added to prevent premature stops
**Take Profit (Event Line Based):**
• **LONG positions**: Take Profit near the HB line (buyer resistance target)
• **SHORT positions**: Take Profit near the HS line (seller support target)
• A small buffer percentage ensures realistic fill expectations
**Exit Rules:**
• Exit LONG when signal changes to SHORT
• Exit SHORT when signal changes to LONG
• **NO_TRADE signal = HOLD** (do not exit, wait for clear direction)
• SL/TP orders remain active regardless of signal changes
**SETTINGS GUIDE**
**⚙️ General Settings:**
• *Calculation Method* — Choose between Intrabar (Precise) or Geometry (approximation)
• *Intrabar Resolution* — LTF for volume data (1T, 1S, 15S, 1M)
• *Lookback Length* — Window for scanning events (10-150 bars)
• *Timezone Offset* — Adjust clock display to your local time
**📊 Matrix Display Settings:**
• *Show Unified Matrix* — Toggle the information dashboard
• *Show Event Lines* — Toggle horizontal lines at event prices
• *Panel Size/Position* — Customize dashboard appearance
• *Projection Bars* — Extend event lines into the future
• *Depletion Threshold* — Percentage for depletion markers (default: 100%)
**🏷️ Rank Labels Settings:**
• *Show Rank Labels (HB/HS)* — Display labels on highest volume candles
• *Show Low Labels (LB/LS)* — Display labels on lowest volume candles
• *Ranks Count* — Number of rankings to display (1-5)
**📐 Trend Channel Settings:**
• *Show Trend Channel* — Toggle the 5-point regression channel
• *Line Color/Fill/Width/Style* — Customize channel appearance
**🎯 Trade Signal Settings:**
• *Long: Min Remaining Power %* — Minimum buyer power for LONG signal (default: 50%)
• *Short: Max Remaining Power %* — Maximum power for SHORT signal (default: 30%)
• *Opponent Dominance Threshold* — When to consider power "exhausted" (default: 0%)
• *Max Decay Angle* — Maximum consumption rate for valid entries (default: 60°)
**📈 Strategy Execution Settings:**
• *Enable Strategy* — Turn automatic trading on/off
• *Allow LONG/SHORT* — Enable or disable specific directions
• *Max Pyramid Entries* — Maximum entries in same direction (1-3)
• *SL Buffer %* — Distance below/above event line for stop loss (default: 0.15%)
• *TP Buffer %* — Distance from event line for take profit (default: 0.05%)
**VISUAL ELEMENTS**
**Chart Labels:**
• **#1 HB** — Highest Buyers (rank label on candle high)
• **#1 HS** — Highest Sellers (rank label on candle low)
• **#1 LB** — Lowest Buyers (rank label on candle high)
• **#1 LS** — Lowest Sellers (rank label on candle low)
• **🔋 / 🚨** — Buyer power depletion markers
• **🪫 / ⚠️** — Seller power depletion markers
**Event Lines:**
• **Blue horizontal lines** — HB price levels (buyer entry points)
• **Red horizontal lines** — HS price levels (seller entry points)
• **Cyan lines** — LB price levels
• **Orange lines** — LS price levels
• **Dashed extensions** — Projected levels into future bars
**Trend Channel:**
• **Orange lines** — Upper and lower channel boundaries (5-point regression)
• **Orange fill** — Channel area (90% transparency)
**Matrix Dashboard (6 rows):**
• Row 1: Header with symbol, LTF setting, and local clock
• Row 2: Volume snapshot (Total, Buy, Sell, Delta)
• Row 3: Column headers
• Row 4: Highest Buyers data (Age, Start Power, Consumed, Remaining, Decay, ETA)
• Row 5: Highest Sellers data
• Row 6: Signal Evaluation (Trend, Zone, Nearest Event, Signal, Reason)
**Strategy Markers:**
• **Green triangle up** — LONG entry
• **Red triangle down** — SHORT entry
• **Faded triangles** — Pyramid entries
• **Colored lines** — SL (red) and TP (green) levels when in position
**BEST PRACTICES**
**For Maximum Accuracy:**
1. Use **1T (tick)** or **1S** intrabar resolution when available
2. Trade liquid markets with good volume data (crypto majors, forex majors, high-volume stocks)
3. Use smaller lookback length (20-30) to ensure all bars have valid LTF data
4. Monitor the "Intrabar Valid Bars" counter in the matrix header
5. If you see data warnings, reduce lookback or increase LTF resolution
**For Longer Backtests:**
1. Use **15S or 1M** intrabar resolution for more historical data
2. Increase lookback length if needed
3. Understand that accuracy decreases with higher LTF settings
4. Consider using Geometry mode for very long backtests (approximation but always available)
**Understanding the Signals:**
• Pay attention to the signal *reasoning* shown in the matrix — it explains WHY
• **NO_TRADE** means the system sees conflicting factors — respect this caution
• Event lines act as dynamic S/R — they update as new volume events occur
• Cumulative Delta (Δ) often provides early warning of trend changes
**Risk Management:**
• The default 10% per entry with max 2 pyramids = 20% maximum exposure
• Event-line-based SL/TP provides logical levels based on actual volume events
• Always verify signals with your own analysis before trading
**INTERPRETING THE MATRIX**
**Power Status Examples:**
• *Remaining Power: 75%* — Buyers still have most of their strength
• *Remaining Power: 25%* — Buyers nearly exhausted, watch for reversal
• *Opponent Dominance: -50%* — Sellers have consumed 150% of buyer power (strong bearish)
**Decay Angle:**
• *Low angle (0-30°)* — Slow consumption, power lasting longer
• *High angle (60-90°)* — Rapid consumption, expect quick exhaustion
**ETA to Parity:**
• Shows estimated bars until Remaining Power reaches zero
• *"Overtaken"* with 🚨 means sellers have already dominated
**LIMITATIONS & DISCLAIMER**
**Technical Limitations:**
• Requires sufficient historical LTF data (varies by TradingView plan and symbol)
• Intrabar (Precise) mode may show invalid data warnings on symbols with limited history
• Strategy tester may not have access to the same LTF data as live trading
• Maximum 500 lines and 500 labels (TradingView platform limits)
**Important Notes:**
• This strategy focuses on **Highest Buyers only** — it does not analyze all market factors
• Past performance does not guarantee future results
• Volume data quality varies significantly between symbols and exchanges
• The strategy's signals are analytical tools, not trading recommendations
**Risk Disclaimer:**
This strategy is provided for **educational and informational purposes only**. Trading involves substantial risk of loss and is not suitable for all investors.
• Always use proper risk management
• Never risk more than you can afford to lose
• Backtest results may differ significantly from live trading
• You are solely responsible for your trading decisions
**TECHNICAL SPECIFICATIONS**
• Pine Script Version: 6
• Calculation: calc_on_every_tick=true, use_bar_magnifier=true
• Default Capital: 10,000
• Default Position Size: 10% of equity
• Maximum Lines: 500
• Maximum Labels: 500
• External Library: TradingView/ta/10 (for requestUpAndDownVolume)
*Smart Trader EP1 — Understanding Volume, One Event at a Time*
Pulse Volume Commitment [JOAT]
Pulse Volume Commitment - Three-Dimensional Momentum Analysis
Introduction and Purpose
Pulse Volume Commitment is an open-source oscillator indicator that analyzes price action through three distinct dimensions: Quantity (candle count), Quality (body structure), and Commitment (volume-weighted quality). The core problem this indicator solves is that simple bullish/bearish candle counts miss important context. A market can have more green candles but still be weak if those candles have small bodies and low volume.
This indicator addresses that by requiring all three dimensions to align before generating strong signals, filtering out weak moves that lack conviction.
Why These Three Dimensions Work Together
Each dimension measures a different aspect of market conviction:
1. Quantity - Counts bullish vs bearish candles over the lookback period. Tells you WHO is winning the candle count battle.
2. Quality - Scores candles by body size relative to total range. Full-bodied candles (small wicks) indicate stronger conviction than doji-like candles. Tells you HOW decisively price is moving.
3. Commitment - Weights quality scores by volume. High-quality candles on high volume indicate institutional participation. Tells you WHETHER smart money is involved.
When all three align (e.g., more bullish candles + bullish quality + bullish commitment), the signal is significantly more reliable.
How the Calculations Work
Quantity Analysis:
int greenCount = 0
int redCount = 0
for i = 0 to lookbackPeriod - 1
if close > open
greenCount += 1
if close < open
redCount += 1
bool quantityBull = greenCount > redCount
Quality Analysis (body-to-range scoring):
for i = 0 to lookbackPeriod - 1
float candleBody = close - open // Signed (positive = bull)
float candleRange = high - low
float bodyQuality = candleRange > 0 ? (candleBody / candleRange * 100) * candleRange : 0.0
sumBodyQuality += bodyQuality
bool qualityBull = sumBodyQuality > 0
Signal Types
FULL BULL - All three dimensions bullish (Quantity + Quality + Commitment)
FULL BEAR - All three dimensions bearish
LEAN BULL/BEAR - 2 of 3 dimensions agree
MIXED - No clear consensus
STRONG BUY/SELL - Full confluence + ADX confirms trending market
ADX Integration
The indicator includes ADX (Average Directional Index) to filter signals:
- ADX >= 20 = TRENDING market (signals more reliable)
- ADX < 20 = RANGING market (signals may whipsaw)
Strong signals only trigger when full confluence occurs in a trending environment.
Dashboard Information
Quantity - BULL/BEAR/FLAT with green/red candle ratio
Quality - Directional bias based on body quality scoring
Commit - Volume-weighted commitment reading
ADX - Trend strength (TRENDING/RANGING)
Signal - Confluence status (FULL BULL/FULL BEAR/LEAN/MIXED)
Action - STRONG BUY/STRONG SELL/WAIT
How to Use This Indicator
For High-Conviction Entries:
1. Wait for FULL BULL or FULL BEAR confluence
2. Confirm ADX shows TRENDING
3. Enter when Action shows STRONG BUY or STRONG SELL
For Filtering Weak Setups:
1. Avoid entries when signal shows MIXED
2. Be cautious when ADX shows RANGING
3. Require at least 2 of 3 dimensions to agree
For Divergence Analysis:
1. Watch for Quantity bullish but Commitment bearish (distribution)
2. Watch for Quantity bearish but Commitment bullish (accumulation)
Input Parameters
Lookback Period (9) - Bars to analyze for all three dimensions
ADX Smoothing (14) - Period for ADX calculation
ADX DI Length (14) - Period for directional indicators
Timeframe Recommendations
15m-1H: Good for intraday momentum analysis
4H-Daily: Best for swing trading confluence
Lookback period may need adjustment for different timeframes
Limitations
Lookback period affects signal responsiveness vs reliability tradeoff
Volume data quality varies by exchange
ADX filter may cause missed entries in early trends
Works best on liquid instruments with consistent volume
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Confluence signals do not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
The Setup Factory - Swing Data TSF - Swing data
Useful intraday updated data for swing traders
Interpretation and summary:
1. 20D Avg $ Vol: The average daily dollar volume (Price × Volume) over the last 20 trading days.
2. Live $ Vol: The total dollar volume accumulated during the current daily bar so far.
3. Relative Vol %: Today's volume progress compared to the average amount of volume typically accumulated by this exact minute over the last 20 days.
4. Projected Vol %: A prediction of the final daily volume total, calculated by applying today's current rate of outperformance (Buzz) to the full-day average.
5. Continuous Volume Buzz: The percentage difference between today's current volume and the historical average for this specific time window (e.g., how far "ahead of schedule" the stock is).
6. Volume Pace (15m): A comparison of the last 15 minutes of volume against the average 15-minute speed of the day so far (excluding the opening 15-minute surge).
7. Daily ATR %: The 14-day average daily price range (volatility) expressed as a percentage of the current stock price.
8. Dist. Today Low: The percentage distance between the current price and today’s lowest point.
9. Dist. Prior Low: The percentage distance between the current price and yesterday’s lowest point.
MTF Volume Weighted Average PriceSame Orignal VWAP
Now you can set it to any Time Frame, and see it on that Time Frame While on your current Time Frame.
CCI Stoch Chikou + Rolling CVD
Signal Tool Using CCI, Stochastics, Lagging Span, and Delta Threshold
CCI, Stochastics, Lagging Span, Delta Threshold Signal Tool
Do not use this tool alone. Confirm support from rising moving averages and pivots (such as the midline) before entering.
For buys, the entry timing is when it dips below 20 and then crosses above the 20 line, but it might be okay if supported by moving averages or similar.
We recommend not changing the Lagging Span to 25.
The default settings exclude the Delta Threshold (%) setting, but check the box if you want to filter.
Ratio (% Value):
If this value exceeds +10%, it means that out of the last 20 trades, 10% net were “buy” trades.
Conversely, -10% indicates “sell” trades are overwhelmingly dominant. When this value is strong, breakouts tend to succeed more easily. Not that I'm taking responsibility for it, though.
Good luck.
Wyckoff v1.3: Effort vs ResultThis script helps a trader know the actions of smart money - clearly differentiating between valid and in-valid price moves. It is a not script that'll give you buy/sell signals, but in a very Wyckoff way give you the essentials of tape reading of the current chart.
Code Algo: From current candle to previous N candles (N is variable), it calculates a parameter called R = (high-low)/volume; for each candle, hence forming a distribution of R's. Hence, parameter R takes into account the price-volume relationship together, combined which is paramount for Wyckoff reading. Then it calculates mean (M) and standard deviation (sigma) of all those R's. Hence, M denotes the regular price movements expected from a given volume, which will also be a 'valid' move. Then we calculate ranges M-x*sigma and M+x*sigma (where x is a constant) for 3 values of x: 0.5, 1.5 and 2.2. These ranges give us deviations from M, split into 3 different levels. 1st range (E1) is closer to M, 2nd range (E2) is slightly more deviated from M, 3rd range (E3) includes large deviations and 4th range (E4) gives us largest deviations (highest Wyckoff invalidation). Henceforth, we can assess the current candles R value and check which range does it fall into. This gives us the validation degree of this current candle's move in perspective of how the market behaved previously. We assign symbol '+' for this current candle if R>M (hence showing exhaustion) or '-' if R
Liquidation Map [Alpha Extract]A sophisticated liquidity distribution visualization system that identifies potential liquidation zones through pivot-based detection and renders them as an interactive histogram with cumulative distance-to-liquidation curves. Utilizing multi-exchange volume aggregation and ATR-scaled pocket detection, this indicator delivers institutional-grade liquidity mapping with real-time histogram display showing relative concentration of long and short liquidation levels across configurable price ranges. The system's box-based rendering architecture combined with cumulative distribution overlays provides comprehensive visual assessment of asymmetric liquidity positioning for strategic trade planning.
🔶 Advanced Multi-Exchange Aggregation Framework
Implements intelligent ticker detection and multi-source volume aggregation across major exchanges including Binance, Bybit, KuCoin, OKX, and MEXC for accurate liquidity weight calculations. The system automatically identifies base currency (BTC, ETH, SOL) from chart ticker, retrieves volume data from matching perpetual contracts across multiple venues, and aggregates into composite volume metric for enhanced pocket weighting accuracy.
🔶 Pivot-Based Liquidation Pocket Detection
Features sophisticated swing point identification using configurable pivot width with ATR-scaled vertical zone construction for volatility-adaptive pocket sizing. The system detects pivot highs for short liquidation zones (placed above swing) and pivot lows for long liquidation zones (placed below swing), applying 200-period ATR with percentage multipliers to determine pocket heights that adjust to market volatility conditions.
🔶 Interactive Histogram Visualization Engine
Provides real-time box-based histogram rendering in indicator pane with configurable bin counts (up to 400 columns) and adjustable height, displaying liquidity concentration across fixed percentage range above and below current price. The system calculates bin sizes from view range, accumulates pocket weights into price bins, and renders vertical bars with gradient color intensity reflecting relative liquidity concentration at each price level.
🔶 Cumulative Distance Overlay System
Implements innovative cumulative distribution curves showing aggregate liquidity distance from current price for both long (left) and short (right) positions. The system calculates running totals of pocket weights from current price outward in both directions, normalizes against maximum span, and overlays line segments showing how much total liquidity exists at various distances, enabling instant assessment of liquidation cascade potential.
🔶 Dynamic Price Range Adaptation
Features fixed percentage-based view window that maintains consistent price range visualization across all timeframes and instruments, automatically centering histogram on current price with configurable +/- percentage bounds. The system recalculates histogram bins and pocket distributions on each bar close, ensuring visualization adapts to price movement while maintaining interpretable scale regardless of volatility regime.
🔶 Touch Detection and Weight Adjustment
Provides intelligent pocket state tracking that identifies when price trades through liquidation zones and applies configurable weight multipliers to touched pockets for historical context. The system monitors price interaction with pocket midpoints, marks pockets as "hit" when violated, and optionally increases their visual weight (default 5x) to emphasize historical liquidation levels while distinguishing from untouched future zones.
🔶 Gradient Intensity Color System
Implements sophisticated color gradient engine that modulates bar opacity from transparent to opaque based on relative liquidity concentration within each bin. The system normalizes bin values against maximum liquidity, applies color interpolation from faded to vivid hues, and distinguishes long liquidation zones (cyan) from short liquidation zones (yellow/gold) with current price column highlighted in red for instant orientation.
🔶 Performance-Optimized Rendering Architecture
Utilizes efficient box and line object management with dynamic allocation based on histogram configuration, implementing intelligent cleanup and reuse to maintain smooth performance. The system includes adaptive line budget calculations that adjust segment density for cumulative curves based on available object limits, ensuring consistent operation even with maximum histogram resolution settings.
🔶 Asymmetric Distribution Analysis
Calculates separate cumulative distributions for long and short liquidation zones split at current price, enabling identification of imbalanced liquidity positioning. The system normalizes distributions against respective maximums and overlays both curves on single histogram, allowing traders to instantly assess whether more liquidation risk exists above (shorts vulnerable) or below (longs vulnerable) current price levels.
🔶 Configurable Label and Scale System
Provides price axis labeling with adjustable frequency to reduce clutter while maintaining reference points, displaying price values at regular column intervals with configurable offset positioning. The system includes current price label showing exact value and percentile position within view range, offering both absolute price reference and relative positioning context for distribution interpretation.
🔶 Historical Pocket Persistence Framework
Maintains rolling window of liquidation pockets up to 3000 bars with automatic expiration management and optional preservation of touched zones for historical analysis. The system tracks pocket creation time, monitors age against lookback limits, and manages array cleanup to prevent memory overflow while retaining relevant historical liquidation levels for pattern recognition and support/resistance validation.
This indicator delivers sophisticated liquidity distribution analysis through histogram visualization and cumulative distance curves that reveal asymmetric positioning of potential liquidation levels. Unlike simple liquidation heatmaps that show absolute levels, the Liquidation Map's cumulative distribution overlays instantly communicate how much total liquidity exists at various distances from current price, enabling assessment of cascade potential. The system's multi-exchange volume aggregation, touch-weighted historical zones, and fixed-range visualization make it essential for traders seeking strategic positioning around institutional liquidity clusters in cryptocurrency futures markets. The histogram format enables instant identification of price levels where concentrated liquidations may trigger significant volatility or reversal events, while the asymmetric distribution curves reveal whether market structure favors upside or downside cascades.
Volume Weighted CandlesVWC Key features:
Volume Scaling: Each candle's body size is multiplied by the volume ratio (current volume vs. average volume)
Maintains Price Accuracy: The candles stay centered around the true midpoint between open and close
Visual Volume Feedback: High-volume candles appear larger, low-volume candles appear smaller
Adjustable Parameters:
Volume Lookback Period (default 20): How many bars to use for calculating average volume
Scale Factor (default 1.0): Adjusts how dramatically volume affects candle size
Show Original Candles: Toggle to see the original candles in the background for comparison
Visual Cues:
Green/red candles for bullish/bearish moves
Background highlighting when volume is exceptionally high (>1.5x avg) or low (<0.5x avg)
Wicks remain at actual high/low prices for accuracy
The indicator helps you quickly identify which price movements had significant volume behind them, making it easier to spot strong momentum moves versus low-conviction price action.
Anchored VWAP PercentageINDICATOR: ANCHORED VWAP PERCENTAGE (AVWAP)
1. Overview
The Anchored VWAP Percentage (AVWAP) is a quantitative momentum and mean-reversion tool. It measures the percentage distance between the current price and a Volume Weighted Average Price (VWAP) that resets automatically based on specific time cycles. It allows traders to identify overextended market conditions relative to institutional value.
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2. Core Logic & Calculation
The script tracks the relationship between price and volume starting from a specific Anchor Point .
* Volume-Weighted Foundation: Unlike simple moving averages, this indicator uses the VWAP formula: sum(Volume * Price) / sum(Volume) .
* Automatic Anchoring: The starting point (Anchor) resets automatically depending on the chart timeframe (e.g., resets weekly on a 15m chart, or yearly on a Daily chart).
* Percentage Deviation: It calculates the precise gap between the price and the VWAP, plotted as an oscillator: ((Price - VWAP) / VWAP) * 100 .
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3. Adaptive Intelligence (Multi-Asset & Multi-TF)
The AVWAP is built with an internal database of 85th Percentile (P85) volatility thresholds. It recognizes that different assets have different "stretching" limits:
1. Asset-Specific Calibration: It includes optimized data for Bitcoin, Ethereum, Altcoins, Forex, and Indices .
2. Dynamic Timeframe Mapping: The anchor period and the exhaustion thresholds adjust automatically. For example:
* Intraday (1m-5m): Anchors to an 8-hour (480 min) cycle.
* Mid-Term (15m-60m): Anchors to a Weekly (W) cycle.
* Swing (Daily): Anchors to a Yearly (12M) cycle.
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4. Visual Anatomy
The indicator is designed for high-speed decision-making:
* The Histogram:
* Green: Price is trading above the VWAP (Bullish premium).
* Red: Price is trading below the VWAP (Bearish discount).
* P85 Threshold Lines:
* These lines represent the 85th percentile of historical deviations . Historically, the price stays within these boundaries 85% of the time.
* Background Highlighting: When the histogram crosses the P85 line, the background glows, signaling a Statistical Exhaustion Zone where a retracement to the mean is highly probable.
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5. How to Trade with AVWAP
* Mean Reversion: When the histogram reaches the P85 Zone , the price is "statistically overextended." This is a prime area to look for reversals or to take profits on existing trends.
* Trend Strength: If the histogram stays near the Zero Line while the price moves, the trend is supported by healthy volume.
* Value Area: The Zero Line represents the Fair Value . Buying near the Zero Line during a bullish histogram (Green) offers a high-probability entry with low risk.
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6. Technical Parameters
* Asset Selection: A dropdown to switch between Crypto, Forex, and Indices.
* Color Customization: User-defined colors for bullish and bearish sentiment.
* Precision Control: 4-decimal precision for accurate tracking of thin-margin assets like Forex.
Weekly Levels: High/Low/Mid/POCThis is a simple indicator that plots each week (up to 4 weeks) with the high,low, mid point and a customizable POC. Weeks can be toggled on and off and it has a developing level for the current week.
I find these levels valuable in day trading and thought automating them would be ideal.
Daily Volume Event This tool is ideal for traders who want to monitor hundreds of symbols simultaneously for volume shocks. This indicator was developed exclusively by the AI Gemini to precisely identify extraordinary trading volumes. The focus lies on detecting "news events" by comparing the current daily volume with the average of the past five days. Thanks to percentage-based normalization, a single alert value can be used universally across an entire watchlist. he script utilizes multi-timeframe analysis to display the daily volume ratio directly on intraday charts such as the 15-minute timeframe. It eliminates the noise of ordinary market movements and isolates significant institutional activity through customizable thresholds. Users can set alerts to be notified immediately when a stock exceeds its typical volume by 30% or more. The clean visual representation as a histogram allows for quick identification of outliers without manual calculation.
QQQ 2025 Bucket ATR (Price & Volume) + Today ComparisonHow to interpret the table
For each bucket row (e.g. 09:30–10:30):
Price ATR (Y) → typical price move for that bucket across all 2025 sessions
Vol ATR (Y) → typical change in that bucket’s volume vs the previous day
Avg Vol (Y) → average total volume traded in that bucket
Today Price TR → today’s actual true range move in that bucket
Today Vol ATR → today’s volume change vs yesterday’s volume in that bucket
Today Vol → today’s raw volume for that bucket
So you can eyeball stuff like:
“9:30–10:30 today did 1.5× its usual range and 2× its usual volume, but midday buckets were dead.”
deKoder | Whale Prints [WP]deKoder | Whale Prints | Large Trade Orderflow Detection
This open-source indicator is a clean, precision tool for revealing hidden large-volume activity directly on your chart. By scanning ultra-low timeframes while you view higher ones, it projects statistically significant volume spikes as intuitive markers giving you a clear window into institutional orderflow without visually overwhelming the price action.
Key Features & Strengths
True Intra-Bar Detection | Monitors lower timeframes down to 1-second bars, catching aggressive block trades and absorption that occur within a single higher-TF candle.
Accurate Trade Levels | Markers are placed at the actual hl2 price of the aggressive lower-TF bar, providing a far more accurate estimate of where the large trade executed than typical mid-candle approximations.
Multiple Trades Per Bar | If several significant volume spikes occur inside one higher-TF candle, all qualifying levels are displayed individually – offering greater granularity and context.
Adaptive Thresholding | Uses higher-TF volume standard deviation (stable baseline) intelligently scaled to the lower timeframe, reducing noise in quiet markets while remaining sensitive to genuine outliers.
Clean Visual Hierarchy | Three tiers (Small 🞉 / Medium ⏣ / Large 🞊) with dynamic symbol size, line thickness, transparency, and user-definable bullish/bearish coloring based on LTF candle direction.
How to Use It as an Orderflow Tool
Large volume spikes often mark the footprints of institutional players. This indicator helps you read those footprints in real time.
Small (🞉) | Moderate excess volume: early interest, probing, or building positions.
Medium (⏣) | Strong spike: increasing conviction, potential momentum shift.
Large (🞊) | Extreme outlier: frequently climactic volume signalling exhaustion or major absorption.
Why Price Often Reverses at These Levels
Large players frequently place limit orders in areas rich with liquidity – commonly just beyond recent highs/lows where retail stop-losses cluster. When price sweeps those zones:
Stop hunts trigger a cascade of forced exits, creating liquidity for larger participants to fill their limit orders.
Breakout traders who entered on the move are trapped offside and become forced buyers/sellers when price reverses.
Institutions use this liquidity to execute large orders at favorable prices with minimal immediate market impact.
The result is aggressive volume at the extreme, followed by reversal as smart money finishes filling and price returns toward fair value. Clusters of medium/large markers at swing points are classic signs of this dynamic.
Practical Analysis Tips
Reversals/Absorption | Clusters of large markers at swing highs/lows (especially opposing-color spikes) signal potential turns – buyers or sellers stepping in aggressively.
Level Defense | Trades piling up at key support/resistance suggest institutions protecting or building positions.
Trapped Traders | Large spikes beyond range pivots followed by reversal back into the range often highlight trapped breakout traders who add fuel to a move when they are forced to liquidate their positions.
Use Offset (-3 to +3) to shift markers away from current price for clearer viewing.
Pro tip: Zoom into the lower TF occasionally to see how these projected levels align exactly with aggressive candles.
Recommended Pairings
This is designed as a pure orderflow overlay to be layered with your existing setup:
Support & Resistance (horizontals, pivots, Volume Profile POC/VAH/VAL)
Market Structure tools (swing points, order blocks, fair value gaps)
Trend filters (EMAs, SuperTrend, higher-TF bias)
Momentum oscillators for timing confluence
Best Suited For
Scalping & day trading (1–15 min charts with 5–30S lower TF)
Swing trading entries (1H–4H charts with 1–5 min lower TF)
High-liquidity markets: crypto perpetuals, forex majors, volatile stocks
Add this indicator to start seeing the hidden aggression driving price and expose the hidden edges beyond the noise.
☠ FR33FA11 | deKoder ☠
Released January 2025 | Open Source
GCM Price Volume Trend with BB [Dual Signal]Title:
GCM Price Volume Trend with BB
Description:
This script presents an advanced variation of the Price Volume Trend (PVT) indicator, enhanced with a Dual-Signal system and Bollinger Bands to provide a complete volume-momentum analysis tool.
The Concept:
Standard PVT can often produce jagged, noisy signals that make trend identification difficult. To solve this, this script integrates three distinct technical concepts into a single "Volume Dashboard":
Trend Baseline (Signal 1 - SMA): A standard Simple Moving Average (Length 21) acts as the slow-moving baseline to filter out minor volume noise.
Volume-Weighted Trigger (Signal 2 - VWMA): We utilize a Volume Weighted Moving Average (VWMA) (Length 9) as the fast signal. Applying a Volume-Weighted average on top of a Volume indicator (PVT) provides a double-confirmation of volume momentum, making the signal highly sensitive to significant volume spikes while ignoring low-volume drift.
Volatility Context (Bollinger Bands): Standard Bollinger Bands are calculated on the PVT data itself. This allows traders to identify when the volume trend is statistically overextended (touching Upper Band) or oversold (touching Lower Band), which often precedes a price reversal.
Key Features
Dynamic Trend Coloring: The PVT line changes color (Bright Green/Red) based on its immediate slope (Rising vs. Falling), offering instant visual feedback on momentum.
Dual Ribbon System:
Ribbon 1: Fills the space between PVT and the Baseline (SMA) to show the macro trend.
Ribbon 2: Fills the space between PVT and the Fast Trigger (VWMA). By default, this ribbon changes color based on the slope of the PVT, highlighting the strength of the move.
Volatility Bands: A background fill between the Bollinger Bands helps visualize the "normal" operating range of the volume trend.
How to Use
Trend Confirmation: Look for the PVT line to be above the SMA (Signal 1) and the Ribbon to be Green.
Entry Signals: A crossover of the PVT above the VWMA (Signal 2) suggests an immediate influx of buying volume.
Exhaustion: If the PVT line touches or exceeds the Upper Bollinger Band, the volume trend may be overheated, suggesting a potential pause or reversal in price.
Settings
Signal 1: Defaults to SMA (21) for the baseline.
Signal 2: Defaults to VWMA (9) for the fast trigger.
Bollinger Bands: Enabled by default (2.0 Deviation, 20 Length).
Visuals: Fully customizable transparency, colors, and line types.
Rolling Volume Structure: HVN & SentimentTitle:
Rolling Volume Structure: HVN & Sentiment
Description:
This indicator visualizes the distribution of volume over price levels for a user-defined rolling period. It is designed to identify structural market nodes (HVN/LVN) and correlate them with Pivot Points to filter out market noise.
NOTE: This script utilizes a mathematical array binning algorithm to calculate the profile efficiently on the chart timeframe, avoiding the runtime timeouts often associated with standard iterative volume profiles.
How it works (Technical Methodology)
Binning Algorithm: The script calculates the price range (Highest High - Lowest Low) of the lookback period and divides it into a fixed number of vertical bins defined by the Resolution input.
Volume Allocation: It iterates through historical bars once. The volume of each bar is assigned to the corresponding price bin based on the bar's closing price.
Sentiment Approximation: Since tick-level Bid/Ask data is not available for historical bars in standard Pine Script strategies, this indicator estimates directional volume based on candle polarity:
If Close > Open: Volume is categorized as "Up Volume" (Buying Sentiment).
If Close < Open: Volume is categorized as "Down Volume" (Selling Sentiment).
Disclaimer: This is a standard approximation for structural analysis and does not represent true tick-data delta.
Why this Combination? (Originality & Synergy)
This script addresses the problem of validating structural levels. Traders often use Pivots and Volume Profiles separately. This script combines them programmatically to provide context:
Pivot Confluence: A Pivot Point is only plotted if it aligns with significant volume structure.
HVN Validation: A pivot occurring within a High Volume Node (HVN) suggests a high-liquidity reversal zone, whereas a pivot in a Low Volume Node (LVN) may indicate a liquidity void or a "weak" high/low.
The Dashboard summarizes these metrics (Position relative to Value Area, Net Sentiment, and Trend), removing the need for multiple separate indicators.
Educational Use for Beginners
If you are new to Volume Profile, think of the market structure in these simple terms:
Value Area (VA): This is the "Fair Price" zone where 70% of trading happened. If price is inside here, the market is balanced. If price breaks out, it may be starting a trend.
HVN (High Volume Nodes - Colored Boxes): Think of these as "Traffic Jams". Price often slows down, bounces, or gets stuck here because there are many orders. They act as Support or Resistance.
LVN (Low Volume Nodes - Gray Strips): Think of these as "Empty Highways". Because there is little volume here, price tends to move through these zones very quickly to get to the next HVN.
Features
HVN (High Volume Nodes): Colored boxes highlighting areas of high accumulation.
LVN (Low Volume Nodes): Gray strips highlighting gaps or acceleration zones.
Value Area (VA): Displays the VAH, VAL, and PoC (Point of Control).
Volume-Filtered Pivots: Plots pivots only when supported by the profile structure.
Sentiment Coloring: The profile bins are colored based on the net bullish/bearish candle volume.
Settings
Rolling Period: The lookback window size (default 150 bars).
Resolution: Precision of the profile bins (higher = more detail, lower = smoother).
HVN Thresholds: Percentage of PoC volume required to identify a node.
Global Text Size: Adjusts labels and dashboard for 4K or standard screens.
Credits: The core binning logic is adapted from generic open-source array management concepts for custom volume profiles.
Apex ICT Delivery & Session Flow ProDescription
The Apex ICT Delivery & Session Flow Pro is a high-precision technical analysis indicator designed for inner-circle traders who prioritize a clean, institutional-grade chart. This script specializes in identifying real-time liquidity levels and displacement zones while utilizing an automated "Cleanup Engine" to ensure that only the most relevant, unmitigated data remains visible.
Core Functionalities
Multi-Timeframe Displacement Engine: The script scans across multiple timeframes (1m, 5m, 15m, 1H) to identify Fair Value Gaps (FVG) created by high-displacement price action. It automatically plots the FVG boxes and the 50% Consequent Encroachment (CE) line for precise entry and target mapping.
Dynamic Session Liquidity: Automatically identifies and tracks the Highs and Lows of the Asia, London, and New York sessions. These levels are explicitly labeled and extended to act as magnet levels for price or points of liquidity reversal.
CISD (Change in State of Delivery): Visualizes shifts in order flow by marking the opening prices of the last opposite candle when price action confirms a change in delivery state. This provides immediate visual feedback on market sentiment shifts.
NY-Specific VWAP: Features a strict New York Session VWAP that resets daily at the NY open (08:00). This serves as the "Mean" for the session, helping traders identify premium and discount zones specifically within the high-volume New York hours.
The "Clean Chart" Cleanup Engine: Unlike standard indicators that clutter the screen with historical data, this script features an intelligent removal system:
FVGs & Order Blocks: Automatically deleted once price trades through them or if they move too far from current price (Proximity Filter).
Broken Session Levels: Highs and Lows are instantly removed once they are breached by price.
Temporal Decay: CISD markers are automatically cleared after 20 candles to keep the focus on immediate delivery.
PVSRA High Volume Lines MTF - DailyThis indicator identifies Daily candles with significant volume activity based on the traditional PVSRA calculation.
When a high-volume Daily candle is detected, the indicator plots support and resistance levels at the high and low of that specific candle.
These Daily-based levels are then projected onto lower timeframes, allowing traders to visualize higher-timeframe support and resistance zones directly on intraday charts.
The indicator focuses only on days with elevated volume, rather than plotting levels for every Daily candle.
