[TehThomas] - Order Blocks█ OVERVIEW
This Order Blocks indicator identifies institutional-level support and resistance zones using fractal pattern recognition combined with Fair Value Gap (FVG) filtering. Order blocks represent areas where large institutional orders have been placed, creating significant price reactions when retested. This indicator uses a 5-bar fractal pattern to detect market structure breaks and highlights the last bearish or bullish candle before a strong impulse move.
█ KEY FEATURES
- Fractal-Based Detection: Uses 5-candle fractal patterns to identify key market structure highs and lows
- FVG Filtering: Optional Fair Value Gap confirmation ensures order blocks are followed by true market imbalances
- Automatic Mitigation: Order blocks are automatically removed when price breaks through them
- Overlap Prevention: Prevents cluttered charts by avoiding overlapping order block zones
- Customizable Display: Full control over colors, labels, line heights (body/wick), and maximum blocks shown
- Dual Polarity: Detects both bullish (OB+) and bearish (OB-) order blocks independently
█ HOW IT WORKS
The indicator scans price action for fractal patterns where the middle candle forms a local extreme (highest high or lowest low among 5 bars). When price breaks above a fractal high or below a fractal low, the script identifies the last opposing candle in the impulse move as the order block.
For bearish order blocks, it finds the highest bullish candle before a fractal low is broken, marking institutional selling pressure. For bullish order blocks, it locates the lowest bearish candle before a fractal high is breached, indicating institutional buying.
When FVG filtering is enabled, the indicator confirms that a Fair Value Gap (a 3-candle imbalance where price leaves an unfilled gap) occurred within the specified distance from the order block. This combination increases the probability that institutional traders are present in these zones.
█ SETTINGS
Bullish Order Block Settings
- Show/hide bullish order blocks
- Customize fill color and border color
- Toggle OB+ label display
Bearish Order Block Settings
- Show/hide bearish order blocks
- Customize fill color and border color
- Toggle OB- label display
Label Settings
- Label size: Tiny, Small, Normal, or Large
- Label text color customization
General Settings
- Bars Back to Check (10-200): Lookback period for order block detection
- Filter by FVG: Requires Fair Value Gap confirmation
- Max Bars Between OB and FVG (1-6): Distance tolerance for FVG filtering
- Line Height: Choose between Body or Wick for order block boundaries
- Prevent Overlapping OBs: Avoids drawing overlapping zones
- Max Order Blocks to Display (1-50): Limits active blocks on chart
- Length of Boxes (10-100): Horizontal projection length
█ HOW TO USE
1. Add the indicator to your TradingView chart
2. Configure settings based on your trading timeframe and style
3. Watch for OB+ labels (bullish order blocks) as potential support zones where price may bounce
4. Watch for OB- labels (bearish order blocks) as potential resistance zones where price may reverse
5. Wait for price retracement to the order block zone before taking entries
6. Use confirmation signals like volume spikes or reversal patterns at the order block
7. Place stop loss just outside the order block boundary to manage risk
8. Monitor mitigation: Order blocks disappear when price breaks through them completely
█ TRADING STRATEGY EXAMPLES
Bullish Order Block Strategy
Wait for a market structure shift from bearish to bullish. When price creates a bullish impulse breaking a fractal high, identify the OB+ zone. Enter long positions when price retraces to test the bullish order block, placing stop loss 10-20 pips below the zone's low. Target previous highs or resistance levels.
Bearish Order Block Strategy
Monitor for market structure shift from bullish to bearish. After price creates a bearish impulse breaking a fractal low, locate the OB- zone. Enter short positions when price retraces to test the bearish order block, placing stop loss 10-20 pips above the zone's high. Target previous lows or support levels.
FVG-Confirmed Entries
Enable FVG filtering to only display order blocks validated by Fair Value Gaps. These aligned setups increase probability as they combine institutional order placement with market inefficiencies. Trade retracements to these high-confluence zones for better risk-reward ratios.
█ IDEAL FOR
- ICT Traders: Follows Inner Circle Trader methodology for institutional order flow
- Smart Money Concepts: Tracks where large players place orders
- Swing Traders: Identifies key support/resistance for multi-day holds
- Price Action Traders: Pure chart-based approach without lagging indicators
- Breakout Traders: Confirms structure breaks with fractal patterns
- Forex, Crypto, and Stock Markets: Works on all liquid markets and timeframes
█ TECHNICAL SPECIFICATIONS
- Max Boxes: 500
- Max Labels: 500
- Detection Method: 5-bar fractal pattern recognition
- Mitigation Logic: Automatic removal when price breaks order block boundaries
- Time Projection: Uses time offset calculations for box extension
- Array Management: Dynamic array cleanup to prevent memory issues
█ NOTES & DISCLAIMERS
- Order blocks work best when combined with overall market context and trend analysis
- Not all order blocks result in price reversals; use proper risk management
- FVG filtering may reduce the number of signals but increases quality
- Fractal patterns require 5 bars to form, causing a 2-bar delay in detection
- Works optimally on higher timeframes (4H, Daily) for institutional footprints
- This indicator does not guarantee profitable trades; always use stop losses
- Past performance of order blocks does not predict future results
- Compatible with other ICT concepts like liquidity sweeps and market structure
Smartmoneyconcepts
Multi-Layer Support Resistance & Auto TrendlineMulti-Layer Support Resistance & Auto Trendline (Multi-Timeframe Analysis)
Maximize your chart analysis with this advanced Support and Resistance (S/R) engine. This indicator automatically detects critical horizontal levels and diagonal trendlines across four different lookback periods, giving you a comprehensive view of market structure.
Why this indicator?
Universal Search Appeal: Ideal for traders looking for "Support and Resistance," "Auto Trendline," "Pivot Points," and "Gap Detection."
Multi-Layer Logic: Filters market noise by identifying levels from short-term scalping confirms to ultra-long-term historical walls.
Auto Trendlines: No more manual drawing. It automatically connects valid pivot highs and lows to visualize trend channels and breakouts.
Gap Analysis: Automatically marks "Windows" (Gaps) as high-priority zones, often acting as magnetic levels for future price action.
Cyberpunk Aesthetics: High visibility neon colors with customizable transparency to keep your chart professional yet intuitive.
How to trade: Focus on price action where multiple layers (e.g., a diagonal trendline and a long-term horizontal line) intersect. These "confluence zones" offer higher probability trade setups.
多層型サポート＆レジスタンス＋自動トレンドライン（マルチ分析エンジン）
「サポート・レジスタンス」「自動トレンドライン」「窓（ギャップ）検知」を一つに統合した、高度な相場分析ツールです。4つの期間（短期・中期・長期・超長期）から価格の壁と流れを自動的に抽出し、精度の高いトレード戦略をサポートします。
本インジケーターの強み:
高い検索親和性: 「サポレジ」「自動トレンドライン」「ピボット」「窓埋め」などの普遍的な要素を全て網羅しています。
4層の多角ロジック: ノイズの多い短期的な節目から、歴史的に意識される超長期の壁までを階層的に表示。
自動トレンドライン: 高値・安値の更新に合わせて斜めのラインを自動描画。トレンドの転換やブレイクアウトを瞬時に判断できます。
ギャップ（窓）検知: 窓が開いた重要価格帯を自動マーク。窓埋めや反発の根拠として利用できます。
洗練されたデザイン: 視認性の高いネオンカラーを採用しつつ、層ごとの透明度や太さを自由に調整可能。チャートの美しさと実用性を両立しました。
活用方法: 複数のライン（例：斜めのトレンドラインと長期水平線）が重なる「コンフルエンス（根拠の重なり）」に注目してください。そこが最も反発やブレイクが期待できる強力なエントリーポイントになります。
Multi-Timeframe Order BlocksDesigned to identify and visualize key supply and demand zones based on order block theory across multiple timeframes. The indicator detects order blocks by analyzing sequential candle patterns and price movement thresholds to highlight potential reversal or continuation zones where institutional buying or selling activity may have occurred.
The indicator works by scanning for clusters of consecutive bullish or bearish candles followed by a significant price move, which signals the formation of an order block. It then plots these zones as colored boxes on the chart—green for demand (bullish order blocks) and red for supply (bearish order blocks). The zones can be based on candle bodies or wicks, depending on user preference, and the indicator supports multi-timeframe analysis by allowing optional higher timeframe inputs.
How It Works:
Sequential Candle Detection: The indicator looks for a specified number of consecutive bullish or bearish candles (configurable by the user) to identify potential order blocks.
Price Movement Threshold: It checks if the price movement after the order block formation exceeds a user-defined percentage threshold, ensuring only significant zones are marked.
Zone Plotting: Once an order block is confirmed, the indicator draws a supply or demand zone as a box on the chart, using either candle bodies or wicks for zone boundaries.
Multi-Timeframe Support: Users can optionally specify higher timeframes to incorporate broader market context, enhancing the reliability of the zones.
Zone Management: The indicator limits the number of zones displayed to avoid clutter, automatically removing the oldest zones when the maximum count is exceeded.
How to Interpret:
Demand Zones (Green Boxes): These represent areas where buying pressure was strong enough to create a bullish order block. Price often finds support here, making these zones potential entry points for long trades or areas to watch for price bounces.
Supply Zones (Red Boxes): These indicate areas of strong selling pressure forming bearish order blocks. Price may face resistance in these zones, which can be used as potential exit points for longs or entry points for shorts.
Multi-Timeframe Confirmation: Zones identified on higher timeframes tend to be stronger and more reliable. Use the optional higher timeframe inputs to align your trades with broader market trends.
Use with Other Indicators: Combine order block zones with volume, momentum, or trend indicators to improve trade confirmation and risk management.
Zone Breaks: A decisive break and close beyond a supply or demand zone may signal a shift in market sentiment and potential trend continuation or reversal.
Disclaimer
This indicator is provided for educational and informational purposes only and does not constitute financial advice. Trading involves significant risk, and it is possible to lose more than your initial investment. Users should conduct their own research and consider their financial situation carefully before making any trading decisions. The developer and publisher of this indicator are not responsible for any trading losses or damages incurred. Always use proper risk management and consult with a licensed financial advisor if needed.
[LJ] HTF Candles with Volume POC [Highly Optimized]Welcome to the ultimate Higher Timeframe (HTF) fusion tool.
This indicator seamlessly merges Higher Timeframe price action with precise volume profiling on Lower Timeframe (LTF) charts. By utilizing advanced array memory management, it bypasses TradingView's drawing limits to render clean HTF candle boxes and their exact Volume Point of Control (POC), ensuring peak performance and accuracy even on extreme timeframe combinations.
🔎 Visual Guide: What's on Your Chart?
The Big Boxes (Wick & Body): These represent the Open, High, Low, and Close of your selected Higher Timeframe (e.g., a 1-Hour candle projected onto your 5-Minute chart). Color-coded for bullish/bearish momentum.
The Midline: A horizontal line dividing the HTF candle perfectly in half. Useful for gauging if LTF price is in a "premium" or "discount" zone relative to the HTF.
The Yellow Box (The POC): This is the Point of Control. When an HTF candle closes, this yellow box locks in place, showing the exact price zone that saw the highest volume accumulation during that period, calculated using precise LTF hlc3 price data.
⚙️ Key Settings & Configuration
To get the most out of this indicator, check these inputs in the settings menu:
Box Time Interval: Set this to your desired HTF (e.g., "1H", "4H", "D").
Tip: A good rule of thumb is an HTF that is 5x to 12x higher than your current chart.
POC Resolution (Levels): This is your fine-tuning dial.
Set to 50 - 100: Creates a very thin, precise POC line. Great for exact support/resistance levels.
Set to 15 - 35: Creates a thicker POC "Zone". Great for capturing broader areas of high liquidity.
Max Historical Boxes: Controls how far back the indicator draws. Keep this at 50 for a clean chart and fast loading times.
📈 Trading Strategies: How to Trade the HTF POC
1. The "Magnet" Mean Reversion High volume nodes (POCs) act as price magnets. If the current LTF price is far away from the previous HTF candle's POC, look for setups that trade back toward that yellow box.
2. The Break & Retest The POC box acts as a heavy Support/Resistance wall. If price breaks through the yellow POC box with strong momentum, look to enter on the retest of that box in the direction of the breakout.
3. Trend Continuation In a strong uptrend, look for the current LTF price to bounce off the Midline or the previous candle's POC to join the dominant HTF trend.
⚡ Performance Note
This indicator uses advanced Pine Script Array Management. Unlike standard volume profile scripts that crash when calculating big timeframes, this indicator guarantees zero lag and no disappearing boxes, even when looking at a Daily HTF on a 1-Minute chart.
🙏 Credits
This is a refactored and heavily optimized fusion of two great concepts:
Original HTF Box logic by © krollo041
Original Volume Thermometer concept by © ChartPrime
Merged, debugged, and optimized for v6 Array Management by ©Luki_eR
Disclaimer: This script is for educational and informational purposes only and does not constitute financial advice.
PSP with Color ThemesPSP (Price State Parity) Indicator
This indicator identifies Price State Parity between the current trading instrument and a reference asset. It visually highlights candles where price movements show significant correlation patterns.
Key Features:
Dual Mode Operation:
Divergence Mode (Default): Highlights candles where current and reference assets move in opposite directions
Convergence Mode (Inverse): Highlights candles where both assets move in the same direction
Customizable Visualization:
Separate color selection for bullish and bearish PSP candles
Adjustable transparency for optimal chart visibility
Non-PSP candles remain unchanged for clear price action reading
Flexible Reference Asset:
Compare against any TradingView symbol (crypto, forex, stocks, indices)
Default: ETH/USDT for crypto correlation analysis
Use Cases:
Crypto Correlation Trading: Spot divergence/convergence between crypto pairs
Inter-Market Analysis: Compare stocks with sector ETFs or indices
Forex Pairs Correlation: Analyze currency pair relationships
Hedging Opportunities: Identify when correlated assets decouple
How to Use:
Select your reference symbol in settings
Choose between Divergence or Convergence mode
Customize colors to match your trading style
Watch for highlighted candles indicating PSP signals
Indicator Logic:
Bullish PSP: Current candle bullish + Reference candle bearish (or same in inverse mode)
Bearish PSP: Current candle bearish + Reference candle bullish (or same in inverse mode)
AI-Enhanced MSS HunterAI-Enhanced MSS Hunter
This indicator is a hybrid trading system that merges Mechanical Price Action (ICT Concepts) with Statistical Machine Learning (K-Nearest Neighbors). It is designed to assist traders in identifying high-probability reversals after liquidity sweeps, as well as trend-continuation entries during specific "Kill Zone" sessions.
How It Works
The script operates on a strict 3-step validation process to filter out false signals during choppy market conditions.
1. Liquidity Sweep (The Trigger) The system automatically plots the Previous Day High (PDH) and Previous Day Low (PDL).
The logic begins only when price "sweeps" (breaks) one of these key levels.
State Persistence: Once a level is swept, the system remembers this event for the remainder of the session (or until a signal fires), waiting for the market to reverse.
2. Market Structure Shift (The Setup) After a sweep, the indicator hunts for a Market Structure Shift (MSS).
It tracks dynamic Swing Highs and Swing Lows.
A signal is prepared only if price breaks a recent structural swing point in the opposite direction of the sweep (e.g., Sweep PDL -> Break Swing High).
3. AI / Machine Learning Filter (The Confirmation) To reduce false positives, the signal must be confirmed by a K-Nearest Neighbors (KNN) algorithm.
The Logic: The script analyzes the current values of RSI (14), CCI (14), and ROC (10).
The Comparison: It looks back at the last ~1,000 bars of history to find similar market conditions (neighbors).
The Prediction: If the majority of those historical "neighbors" resulted in a favorable move, the AI confirms the trade. If historical data suggests chop or reversal, the signal is blocked.
Key Features
🎯 Primary Reversal Signals (Circles)
Green Circle: Price swept PDL + Bullish MSS + AI Confirmation.
Red Circle: Price swept PDH + Bearish MSS + AI Confirmation.
♻️ Golden Zone Re-Entries (Triangles) Once a Primary Signal is active, the script tracks the new trend leg.
It automatically draws a dynamic Golden Zone (0.5 – 0.618 Fibonacci Retracement).
If price pulls back into this zone and forms a new MSS, a Re-Entry Triangle is plotted.
Invalidation: If the pullback breaks the original setup's low/high, the zone is removed to prevent bad trades.
⏰ Kill Zone Time Filters Signals are filtered by time to ensure you are trading during high-volume sessions.
Default AM Session: 08:30 – 10:00 (New York Time)
Default PM Session: 14:00 – 15:00 (New York Time)
Fully customizable in settings.
Settings Guide
Key Levels: Toggle PDH/PDL lines and customize colors.
Kill Zones: Enable/Disable time filtering and highlight background colors.
AI Settings:
K-Nearest Neighbors (k): Number of historical neighbors to compare (Default: 5).
Training Window: How far back the AI looks for patterns (Default: 1000 bars).
Visuals: Turn on/off the Golden Zone fib clouds or text labels.
Disclaimer
This tool is for educational purposes only. The "AI" component is a statistical classification algorithm based on historical momentum and does not guarantee future results. Always manage risk and use this indicator as part of a comprehensive trading plan.
[TehThomas] - Aligned Timeframe Liquidity Sweeps█ OVERVIEW
The Liquidity Sweeps ICT MTF indicator automatically detects and visualizes buyside and sellside liquidity levels based on higher timeframe (HTF) swing points. Designed specifically for traders using Smart Money Concepts and ICT (Inner Circle Trader) methodology, this tool helps identify where institutional players are likely hunting liquidity before making directional moves.
█ KEY FEATURES
✓ Automatic ICT-Aligned Timeframe Selection
• Intelligently selects the higher timeframe based on your current chart
• Follows ICT's recommended correlations (5min→1h, 15min→4h, 1h→Daily, etc.)
• No manual timeframe selection needed - adapts automatically
✓ Precise Liquidity Level Placement
• Lines start exactly at the LTF candle that created the HTF swing point
• Searches backwards through historical data to find exact placement
• Eliminates guesswork about where institutional orders cluster
✓ Real-Time Sweep Detection
• Solid lines indicate untouched liquidity (active levels)
• Lines automatically turn dotted when price sweeps through them
• Swept lines stop at the exact bar of the sweep (clean visualization)
• Both wicks and candle bodies trigger sweep detection
✓ Fully Customizable Per Timeframe
• Individual swing detection settings for each HTF (1m, 15m, 1h, 4h, D, W, M)
• Adjust sensitivity to show major levels only or capture granular liquidity pools
• Customizable colors and line width
• Organized settings groups for easy navigation
█ HOW IT WORKS
The indicator identifies swing highs and swing lows on a higher timeframe using pivot point detection. These swing points represent areas where stop-loss orders from retail traders concentrate, creating "liquidity pools" that smart money targets.
Timeframe Alignment (Automatic):
• 15s chart → 1min HTF
• 1min chart → 15min HTF
• 5min chart → 1hour HTF
• 15min chart → 4hour HTF
• 1hour chart → Daily HTF
• 4hour chart → Weekly HTF
• Daily chart → Monthly HTF
Swing Detection:
The indicator uses customizable left/right bar counts to identify valid swing points on the HTF. Default values are optimized per timeframe (e.g., 10 bars for 1h, 5 bars for Daily), but can be adjusted to your preference.
Visualization:
• Green lines = Buyside liquidity (swing highs where long stops sit)
• Red lines = Sellside liquidity (swing lows where short stops sit)
• Solid style = Untouched liquidity
• Dotted style = Swept liquidity
█ SETTINGS
Swing Detection Group:
• Swing Bars - 1 Minute: Default 5 bars
• Swing Bars - 15 Minutes: Default 8 bars
• Swing Bars - 1 Hour: Default 10 bars
• Swing Bars - 4 Hours: Default 6 bars
• Swing Bars - Daily: Default 5 bars
• Swing Bars - Weekly: Default 3 bars
• Swing Bars - Monthly: Default 2 bars
Tip: Increase values for cleaner charts with major levels only. Decrease for more sensitive detection.
Display Group:
• Buyside Liquidity Color: Default green
• Sellside Liquidity Color: Default red
• Line Width: Adjustable 1-5
█ HOW TO USE
Reading the liquidity levels:
🟢 Green solid line = Untouched buyside liquidity (potential magnet for price)
🔴 Red solid line = Untouched sellside liquidity (potential magnet for price)
🟢 Green dotted line = Swept buyside liquidity (bulls trapped)
🔴 Red dotted line = Swept sellside liquidity (bears trapped)
Trading Applications:
1. Liquidity Grab Reversals: Watch for sweeps followed by immediate reversals
2. Stop Hunt Detection: Multiple sweeps often precede strong counter-moves
3. Target Identification: Use untouched levels as potential price magnets
4. Market Structure Analysis: Understand institutional order flow
5. Confluence Zones: Combine with order blocks, FVGs, or other ICT concepts
Best Practices:
• Focus on liquid markets (major FX pairs, indices, large-cap stocks)
• Consider higher timeframe trend - sweeps against trend are higher probability
• Look for liquidity clusters (multiple levels close together)
• Wait for confirmation after sweeps before entering
• Not all sweeps result in reversals - context matters
█ TRADING STRATEGY EXAMPLES
Liquidity Sweep Reversal:
1. Identify untouched liquidity level
2. Wait for price to sweep through (line turns dotted)
3. Look for reversal price action (engulfing, rejection)
4. Enter in reversal direction with stop beyond the sweep
5. Target next liquidity level or structure
Liquidity-to-Liquidity:
1. Price sweeps sellside liquidity (red dotted)
2. Enter long positions
3. Target buyside liquidity above (green solid)
4. Exit when buyside liquidity is swept
█ IDEAL FOR
• ICT Methodology Traders
• Smart Money Concept Practitioners
• Liquidity-Based Strategies
• Multi-Timeframe Analysis
• Price Action Traders
• Stop Hunt Avoidance
█ TECHNICAL SPECIFICATIONS
• Maximum Lines: 500
• Lookback Range: Up to 1000 bars for precise placement
• Compatible: All markets and timeframes
• Data: Works on both real-time and historical bars
█ NOTES & DISCLAIMERS
• This indicator is a tool for analysis, not a standalone trading system
• Always use proper risk management and combine with other analysis
• Performance may vary across different markets and conditions
• Based on ICT concepts - familiarity with Smart Money trading is recommended
█ LIQUIDITY FOR SINGLETIMEFRAMES
If you prefer normal liquidity lines you can use my other free liquidity indicator
Smart Money Flow Signals [QuantAlgo]🟢 Overview
The Smart Money Flow Signals indicator synthesizes significant volume-price dynamics through multi-component analysis to identify potential accumulation and distribution phases driven by substantial market participants. It combines Money Flow Index momentum, Chaikin Money Flow accumulation patterns, volume-weighted price momentum, and buying/selling pressure metrics into a unified composite oscillator that quantifies periods of concentrated capital movement, helping traders and investors identify conditions where significant volume participants may be actively positioning across multiple market conditions and timeframes.
🟢 How It Works
The indicator's core methodology lies in its weighted composite approach, where multiple volume-price components are calculated sequentially and then integrated to create a comprehensive significant flow activity signal.
First, the Money Flow Index (MFI) is calculated to measure buying and selling pressure by incorporating volume into price momentum analysis:
raw_money_flow = source * volume
positive_flow = source >= source ? raw_money_flow : 0
negative_flow = source < source ? raw_money_flow : 0
positive_money_flow = math.sum(positive_flow, mfi_period)
negative_money_flow = math.sum(negative_flow, mfi_period)
money_flow_index = 100 - 100 / (1 + positive_money_flow / negative_money_flow)
This creates an RSI-style momentum indicator that tracks whether money (price × volume) is flowing into or out of the asset, with values ranging from 0 to 100 where readings above 50 suggest buying pressure dominance.
Then, Chaikin Money Flow (CMF) is computed to evaluate accumulation and distribution by analyzing where prices close within each bar's range, weighted by volume:
money_flow_multiplier = high != low ? (close - low - (high - close)) / (high - low) : 0
money_flow_volume = money_flow_multiplier * volume
volume_sma = ta.sma(volume, trend_period)
chaikin_money_flow = volume_sma != 0 ? ta.sma(money_flow_volume, trend_period) / volume_sma : 0
Positive CMF values indicate accumulation (closes near the high of the range), while negative values indicate distribution (closes near the low of the range), with volume weighting emphasizing periods of significant participation.
Next, Volume Analysis is performed to quantify current volume intensity relative to historical averages:
volume_average = ta.sma(volume, trend_period)
volume_strength = volume_average != 0 ? volume / volume_average : 1
volume_weight = math.log(volume_strength + 1)
The logarithmic transformation creates a volume weight that amplifies signals during high-volume periods while preventing extreme volume spikes from overwhelming the composite calculation.
Following this, Buy/Sell Pressure is quantified by comparing cumulative volume during bullish versus bearish candles:
buying_pressure = math.sum(volume * (close >= open ? 1 : 0), trend_period)
selling_pressure = math.sum(volume * (close < open ? 1 : 0), trend_period)
pressure_ratio = (buying_pressure - selling_pressure) / (buying_pressure + selling_pressure) * 100
This creates a directional pressure ratio that reveals whether significant participants are predominantly buying or selling, expressed as a percentage between -100 (all selling) and +100 (all buying).
Then, Volume-Weighted Momentum is calculated through an exponential smoothing channel that adjusts price deviation based on volume intensity:
exponential_smooth_average = ta.ema(source, momentum_channel_period)
deviation = ta.ema(math.abs(source - exponential_smooth_average), momentum_channel_period)
channel_index = deviation != 0 ? (source - exponential_smooth_average) / (0.015 * deviation) * (1 + volume_weight * 0.5) : 0
This channel index measures how far price has deviated from its exponential average relative to typical deviation, with the volume weight multiplier (1 + volume_weight * 0.5) amplifying the signal when significant volume accompanies the price movement.
Finally, the Composite Wave is constructed by combining all components with specific weighting to create the final oscillator:
momentum_wave = ta.ema(channel_index, trend_period)
money_flow_wave = (money_flow_index - 50) * 1.2
chaikin_flow_wave = chaikin_money_flow * 100
composite_wave = momentum_wave * 0.5 + chaikin_flow_wave * 0.3 + money_flow_wave * 0.2
smoothed_wave = ta.sma(composite_wave, signal_smoothing)
This creates a multi-dimensional volume flow oscillator that combines price-volume momentum, accumulation-distribution patterns, and buying-selling pressure into a single signal, providing traders with probabilistic insights into periods of concentrated market activity and directional bias based on weighted component convergence.
🟢 Signal Interpretation
▶ Positive Values (Above Zero, Green): Composite money flow above equilibrium indicating net accumulation pressure, positive buying volume dominance, and bullish volume-price alignment = Favorable conditions for long positions, significant capital flowing into the asset = Buy/hold opportunities
▶ Negative Values (Below Zero, Red): Composite money flow below equilibrium indicating net distribution pressure, negative selling volume dominance, and bearish volume-price alignment = Unfavorable conditions for long positions, significant capital flowing out of the asset = Sell/short opportunities
▶ Extreme Overbought Zone: Excessive bullish money flow indicating potential accumulation exhaustion, where buying pressure may have reached unsustainable levels with elevated reversal risk = Caution on new longs, potential distribution phase beginning, profit-taking zone for existing positions
▶ Extreme Oversold Zone: Excessive bearish money flow indicating potential distribution exhaustion, where selling pressure may have reached unsustainable levels with elevated reversal risk = Caution on new shorts, potential accumulation phase beginning, buying opportunity zone for contrarian entries
▶ Smoothed Trend Line (White) Alignment: When the smoothed trend line confirms the composite wave direction, it validates the underlying volume-price trend and filters false signals caused by short-term noise
▶ Volume Intensity Correlation: Gradient intensity (color saturation) reflects combined wave strength, volume participation, and directional alignment, where darker/more saturated colors indicate stronger concentrated activity and higher-probability directional moves
🟢 Features
▶ Preconfigured Presets: Three optimized parameter configurations accommodate different trading styles, timeframes, and market analysis approaches.
1. "Default" provides balanced volume flow measurement suitable for swing trading on 4-hour and daily charts, offering moderate responsiveness to money flow shifts with standard RSI-equivalent MFI period and moderate smoothing for most market conditions.
2. "Fast Response" delivers heightened sensitivity optimized for active intraday trading and scalping on 1-minute to 1-hour charts, using compressed calculation periods across all components and minimal smoothing to capture rapid volume flow changes and quick trend shifts as they develop, ideal for early entry/exit opportunities with acceptance of increased signal frequency during consolidation.
3. "Smooth Trend" offers conservative extreme identification ideal for position trading and long-term analysis on daily to weekly charts, employing extended periods across all money flow components with substantial smoothing to filter short-term noise and isolate only strong, sustained accumulation and distribution phases driven by significant volume participants.
▶ Built-in Alerts: Seven alert conditions enable comprehensive automated monitoring of significant money flow transitions and extreme market states.
1. "Bullish Flow" triggers when the composite wave crosses above zero, signaling the shift from distribution to accumulation and concentrated buying activity beginning.
2. "Bearish Flow" activates when the composite wave crosses below zero, signaling the shift from accumulation to distribution and concentrated selling activity starting.
3. "Any Flow Direction Change" provides a combined notification for either bullish or bearish crossover regardless of direction, useful for general money flow momentum shifts.
4. "Extreme Overbought" alerts when the composite wave reaches or exceeds the overbought threshold (default +60), indicating excessive buying pressure and potential exhaustion.
5. "Extreme Oversold" notifies when the composite wave reaches or falls below the oversold threshold (default -60), indicating excessive selling pressure and potential capitulation.
6. "Overbought Reversal" triggers specifically when the wave crosses back down through the overbought level after being extended, signaling the beginning of distribution from extreme levels.
7. "Oversold Reversal" activates when the wave crosses back up through the oversold level after being extended, signaling the beginning of accumulation from extreme levels.
▶ Color Customization: Six visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and visual preferences, ensuring optimal contrast and immediate identification of bullish versus bearish volume flow conditions across various devices and screen sizes. Optional bar coloring provides instant visual context of current significant volume activity intensity and direction without switching between the price pane and indicator pane, enabling traders and investors to immediately assess volume-price positioning dynamics while analyzing price action.
ApEn Zones with Delta Confirmation MTF [PhenLabs]📊 ApEn Zones with Delta Confirmation MTF
Version: PineScript™ v6
📌 Description
The ApEn Zones with Delta Confirmation MTF indicator combines Approximate Entropy analysis with cumulative volume delta to identify high-probability support and resistance zones. Approximate Entropy (ApEn) measures the complexity and unpredictability in price data—when ApEn drops significantly, it signals a transition from chaotic to ordered market behavior, often preceding reversals or continuations.
This indicator goes beyond simple ApEn detection by integrating Delta confirmation, which validates zones using volume-based order flow analysis. When a zone forms with Delta confirmation, it indicates institutional participation aligning with the price structure. The multi-timeframe capability allows traders to detect zones forming on higher timeframes while executing on their preferred chart.
🚀 Points of Innovation
First indicator to combine ApEn complexity analysis with cumulative Delta confirmation for zone validation
Pre-built calculation presets eliminate guesswork—optimized parameters for scalping, day trading, and swing trading
Smart zone management automatically removes invalidated zones after two price rejections
Multi-timeframe architecture detects zones on configurable timeframes independent of chart timeframe
Visual style presets provide instant customization from high contrast to subtle overlays
Delta threshold system distinguishes between regular zones and institutionally-confirmed zones
🔧 Core Components
ApEn Calculator: Measures pattern regularity using embedding dimension (m=2) and tolerance factor (r) against price standard deviation to quantify market complexity
Delta Engine: Computes cumulative delta from volume and price movement, comparing against statistical thresholds to identify significant order flow divergence
Zone Generator: Creates visual box zones at signal points with dynamic sizing based on bar range and confirmation status
MTF Request Handler: Fetches ApEn calculations from user-specified timeframe using security() calls for higher timeframe alignment
Zone Manager: Tracks zone interactions, counts rejections, and automatically purges zones that have been tested twice
🔥 Key Features
Calculation Presets: Choose from Aggressive, Conservative, Scalping 1m, Strong Scalping, Swing Trading, or Default—each preset optimizes all parameters for specific trading styles
Visual Style Presets: Select Default, High Contrast, Subtle, Classic, Neutral, or Neutral Reverse to match your chart theme and preference
Delta Confirmation: Zones display with enhanced opacity when cumulative delta confirms institutional participation in the direction of the zone
Automatic Zone Cleanup: Zones self-destruct after two rejections, keeping your chart clean and focused on active levels
Alert System: Four alert conditions for buy zones, sell zones, strong buy signals, and strong sell signals
Maximum Zone Control: Limits display to 5 zones per direction to prevent chart clutter
🎨 Visualization
Buy Zones: Displayed as horizontal boxes at low points when ApEn crosses under threshold—lighter transparency indicates regular zone, darker indicates Delta confirmation
Sell Zones: Displayed as horizontal boxes at high points when ApEn crosses over threshold—visual confirmation follows same transparency logic
Zone Boundaries: Each zone extends 10% of bar range above and below the signal level, providing clear entry and stop areas
Dynamic Extension: All zones automatically extend rightward with each new bar until invalidated
📖 Usage Guidelines
Calculation Preset Selection
Scalping 1m / Strong Scalping: Use for 1-5 minute charts with faster signal generation and tighter thresholds (Length: 15, Zone Length: 5)
Aggressive: Shorter lookback (Length: 10) generates more zones with lower confirmation requirements—higher frequency, more noise
Default: Balanced parameters suitable for 5-15 minute charts (Length: 15, Zone Threshold: 0.5, Delta Length: 4)
Conservative: Extended lookback (Length: 30) with stricter thresholds—fewer but higher probability zones
Swing Trading: Longest parameters (Length: 40, Zone Length: 20) for 1H-4H charts capturing major structural zones
Visual Style Selection
High Contrast: Bright green/red for maximum visibility on any background
Subtle: Muted green/red with transparency for minimal chart distraction
Classic: Traditional lime green and crimson color scheme
Neutral / Neutral Reverse: Grayscale tones for non-directional bias visualization
Timeframe Configuration
Default timeframe is set to 1 minute—adjust based on your execution timeframe
For scalping: Set zone timeframe 1-3x your chart timeframe
For swing trading: Set zone timeframe to 4H or Daily while viewing 1H charts
✅ Best Use Cases
Identifying reversal zones during high-volatility market conditions
Confirming support/resistance levels with volume-based order flow validation
Scalping entries on lower timeframes with higher timeframe zone confluence
Filtering trade setups by requiring Delta confirmation before entry
Setting stop losses beyond zone boundaries after rejection tests
Swing trade positioning at zones detected on 4H/Daily timeframes
⚠️ Limitations
ApEn calculations are computationally intensive—may experience slower loading on very long chart histories
Delta estimation uses (close - open) * volume approximation, not actual order flow data
Zones require sufficient price history—indicator needs max_bars_back of 2000 bars for proper calculation
Low volume instruments may produce unreliable Delta confirmation signals
Zone rejections are counted based on price interaction, not candle close confirmation
Maximum of 5 zones per direction limits visibility during highly active markets
💡 What Makes This Unique
Entropy-Based Detection: Uses mathematical complexity analysis rather than simple price patterns to identify zones
Dual Confirmation System: Combines ApEn signals with Delta divergence for higher probability setups
Adaptive Presets: Six calculation presets and six visual styles create 36 possible configurations without manual parameter adjustment
Self-Managing Zones: Automatic invalidation after two rejections mimics how professional traders track level degradation
🔬 How It Works
Step 1 - ApEn Calculation: The indicator computes Approximate Entropy by measuring how often similar patterns of length m repeat within tolerance r multiplied by standard deviation—lower values indicate more predictable (ordered) price behavior
Step 2 - Signal Generation: Buy signals trigger when higher timeframe ApEn crosses under the average ApEn divided by threshold; sell signals trigger when ApEn crosses over average multiplied by threshold
Step 3 - Delta Confirmation: Cumulative delta is compared against its moving average plus/minus standard deviation times threshold—extreme readings confirm institutional order flow alignment
Step 4 - Zone Creation: Visual boxes are drawn at signal bars with dimensions based on bar range; confirmed zones receive enhanced opacity while unconfirmed zones appear more transparent
Step 5 - Zone Lifecycle: Active zones extend with each bar and track price interactions; after two rejections (price touches zone but reverses), the zone is automatically deleted
💡 Note:
This indicator works best when combined with trend analysis and market structure. Use calculation presets as starting points and adjust the Zone Timeframe setting to align with your trading methodology. Delta confirmation significantly improves zone reliability but requires volume data—instruments with low or unreported volume should rely primarily on ApEn signals alone. Always validate signals with price action context before executing trades.
Institutional Confluence Nexus [Pro]The Problem: Noise vs. Signal
In the world of Smart Money Concepts (SMC), traders are often overwhelmed by "chart clutter." Standard indicators blindly highlight every Fair Value Gap (FVG) and Order Block (OB), regardless of whether the market is trending, ranging, or dead. This leads to analysis paralysis and low-probability entries.
The Institutional Confluence Nexus was built to solve this. It is not just a structure detector; it is a filtering engine. It uses a multi-factor model to hide low-probability zones and only highlight setups where Structure, Volume, and Momentum align.
The "Quantum" Integration
This script includes a built-in Quantum Regression Oscillator (QRO) engine running in the background. Unlike standard RSI or MACD which are reactive (lagging), the QRO uses Linear Regression mathematics to project momentum trajectory.
By combining institutional structure (Price Action) with quantum momentum (Math), this tool generates specific high-probability signals that only appear when price action and momentum are in perfect agreement.
How It Works & Visual Guide
This indicator is a complete trading suite. Here is what every symbol and color on your chart represents:
1. The "Nexus" Reversal Signals (Triangles)
Symbol : Green Triangle (Up) / Red Triangle (Down) labeled NEXUS.
Logic : These appear when price taps a valid Order Block that aligns with the macro trend (200 EMA).
Meaning : These are your primary "Trend Join" setups. They indicate that the institutional trend is resuming after a retracement.
2. High-Volume Breakouts (Bar Colors)
Symbol : Yellow Candles (Bullish) / Orange Candles (Bearish).
Logic : The script detects when a Break of Structure (BOS) occurs with Above-Average Volume.
Meaning : A breakout without volume is often a fakeout. These colored bars confirm that institutions are fueling the move. If you see a Yellow bar, it means "Smart Money" is buying the breakout.
3. QRO Confluence Signals (Labels)
These are the most advanced signals in the suite, combining Price Action with the internal Oscillator:
SNIPER (Blue/Purple) : The strongest reversal signal.
Condition : Price taps a Fair Value Gap + The internal QRO is at extreme volatility bands (Oversold/Overbought).
PB BUY / PB SELL (Aqua/Orange) : A trend continuation signal.
Condition : Price pulls back into a Fair Value Gap + The internal QRO confirms momentum is still healthy (above/below midline).
Note : These signals automatically draw a Red Line at the invalidation point (Stop Loss) to help you manage risk immediately.
4. The Confluence Dashboard
A non-intrusive Heads-Up Display (HUD) in the corner gives you a snapshot of the market state:
Trend : Is price above/below the 200 EMA?
Volume : Is current volume anomalous (High) or normal?
Structure : Are we breaking up, down, or ranging?
Settings & Customization
Smart Money Structure: Toggle FVGs and Order Blocks on/off.
FVG Extend: Control how far the gap "zones" extend to the right to see them as support/resistance zones.
Volume Filter: Enable/Disable the volume requirement (Keep enabled for higher strike rate).
Risk Management: Adjust the "Lookback" period for the automatic Stop Loss lines.
For Developers (Open Source)
I have kept the code open-source to foster learning in the Pine Script community. You can study how:
ta.linreg is used to smooth RSI data for the internal QRO engine.
box.new and line.new are used for dynamic drawing and extending zones.
var variables are used to store historical FVG levels to detect precise crossovers.
Disclaimer:
This tool is designed to assist with technical analysis and educational purposes. It does not guarantee profits. Always manage your risk and use this in conjunction with your own analysis.
Smart Money Volume Index [AlgoAlpha]🟠 OVERVIEW
This script measures buying and selling interest by comparing how price behaves on rising volume versus falling volume. It separates what is often called “smart money” activity from more passive volume and turns that relationship into a normalized index. The result is an oscillator that shows whether buyers or sellers are in control, how strong that control is, and when interest reaches extreme levels that tend to matter for reversals or continuations.
🟠 CONCEPTS
The calculation starts by splitting volume flow into two streams. Positive Volume Index (PVI) reacts when volume expands, while Negative Volume Index (NVI) reacts when volume contracts. Each stream is detrended with a long EMA and passed through an RSI calculation to express relative pressure. These two RSIs are then compared as ratios to estimate buy-side and sell-side interest. The values are summed over a rolling window and normalized against historical peaks so the output stays bounded and comparable across markets. In simple terms: relative behavior on high-volume vs low-volume bars defines interest , and normalization makes that interest readable over time.
🟠 FEATURES
Two display modes: Compare (separate buy and sell interest) and Net (single combined oscillator)
High-interest threshold zones with visual highlights
Alert conditions for threshold crosses and zero-line shifts
🟠 USAGE
Setup : Add the script to your chart. Choose Net mode for a clean momentum-style read, or Compare mode to see buy and sell interest separately. Start with the default periods, then adjust the Index Period to control how much history is included.
Read the chart : Values above zero mean buy-side interest dominates; below zero means sell-side interest dominates. In Compare mode, the green line tracks buying interest and the red line tracks selling interest. When either side pushes beyond the high-interest threshold, participation is elevated and moves tend to be more meaningful.
Settings that matter : Increasing the Index Period smooths the index and focuses on longer participation trends. Changing the Volume Flow Period alters how sensitive the RSI-based pressure is. The High Interest Threshold controls how selective extreme signals are and directly affects alerts and zone highlights.
SMC Alpha Engine [PhenLabs]📊 SMC Alpha Engine
Version: PineScript™ v6
📌 Description
The SMC Alpha Engine is a comprehensive Smart Money Concepts indicator that automates institutional trading pattern recognition. Built for traders who understand that confluence is king, this indicator stacks multiple SMC elements together and scores them in real-time, allowing you to focus exclusively on high-probability setups.
Rather than manually tracking HTF bias, market structure, liquidity levels, order blocks, and fair value gaps separately, the SMC Alpha Engine consolidates everything into a unified scoring system. When enough factors align, you get a signal. When they don’t, you wait. This systematic approach removes emotion and subjectivity from SMC trading.
The indicator is designed around one core principle: only trade when the probabilities are stacked in your favor. By requiring multiple confluence factors before generating signals, it filters out the noise and keeps you focused on setups that institutional traders actually care about.
🚀 Points of Innovation
Automated confluence scoring system that evaluates 6 distinct SMC factors in real-time
HTF-to-LTF bias alignment ensuring trades flow with institutional direction
Intelligent liquidity sweep detection using wick-ratio analysis for confirmation
ATR-based FVG quality filtering that eliminates noise and shows only significant imbalances
Anti-spam signal logic preventing overtrading during volatile market conditions
Session-aware killzone integration timing entries with institutional activity windows
🔧 Core Components
HTF Bias Engine: Analyzes higher timeframe swing structure to establish directional bias using pivot high/low comparisons
Market Structure Module: Detects BOS (Break of Structure) and CHoCH (Change of Character) with real-time confirmation
Premium/Discount Calculator: Dynamically maps price zones relative to recent swing range equilibrium
Liquidity Tracker: Monitors swing points as liquidity targets and identifies sweep events with rejection confirmation
POI Detector: Identifies valid Order Blocks with displacement requirements and Fair Value Gaps with ATR filtering
Confluence Scorer: Aggregates all factors into bull/bear scores displayed on real-time dashboard
🔥 Key Features
Multi-timeframe analysis combining HTF directional bias with LTF precision entries
Customizable confluence threshold from 1 (low filter) to 5 (sniper mode)
Three killzone sessions: London (02:00-05:00), NY AM (08:30-11:00), NY PM (13:30-16:00)
Flexible mitigation options for OBs and FVGs: Wick, Close, 50%, or None
Visual structure labeling for BOS and CHoCH events on chart
Real-time info dashboard showing all current market conditions and scores
Built-in alert conditions for BOS, liquidity sweeps, and high-confluence signals
🎨 Visualization
Premium Zone: Red-tinted box above equilibrium indicating sell-side interest areas
Discount Zone: Green-tinted box below equilibrium indicating buy-side interest areas
Equilibrium Line: Dotted gray line marking the 50% level of current range
Order Blocks: Color-coded boxes (green for bullish, red for bearish) showing institutional candles
Fair Value Gaps: Teal boxes for bullish FVGs, maroon boxes for bearish FVGs
Killzone Backgrounds: Blue (London), Orange (NY AM), Purple (NY PM) session highlighting
Info Table: Top-right dashboard displaying HTF bias, LTF trend, zone, killzone status, and scores
📖 Usage Guidelines
HTF Settings
HTF Timeframe - Default: 60 - Controls higher timeframe for directional bias
HTF Swing Length - Default: 10, Range: 3+ - Determines pivot sensitivity for HTF trend
Market Structure Settings
LTF Swing Length - Default: 3, Range: 1-10 - Controls swing detection sensitivity
Show BOS/CHoCH - Default: Off - Toggles structure labels on chart
Show Strong/Weak Points - Default: Off - Displays swing point classifications
POI Settings
Show Valid Order Blocks - Default: Off - Displays OBs that caused displacement
Show Unmitigated FVGs - Default: On - Shows active fair value gaps
Filter FVG by ATR - Default: On - Only shows FVGs larger than 0.5x ATR
OB Mitigation Type - Options: Wick, Close, None - Determines when OBs are invalidated
FVG Mitigation Type - Options: Wick, Close, 50%, None - Determines when FVGs are filled
Confluence Settings
Minimum Score for Signal - Default: 4, Range: 1-5 - Required confluence level for entries
Show Entry Signals - Default: On - Toggles LONG/SHORT labels on chart
✅ Best Use Cases
Trend continuation trades during active killzone sessions with HTF alignment
Discount zone entries on bullish HTF bias with recent liquidity sweep below
Premium zone shorts on bearish HTF bias after liquidity grab above recent highs
Reversal identification following CHoCH with POI confluence in optimal zone
Filtering existing strategy signals by requiring minimum confluence score
⚠️ Limitations
HTF bias detection requires sufficient price history for accurate pivot identification
Liquidity sweep detection depends on wick-ratio settings and may miss some events
Order blocks require displacement confirmation which may exclude some valid zones
Confluence scoring is probabilistic and does not guarantee profitable outcomes
Killzone times are based on EST/EDT and require timezone adjustment for other regions
Signal spam prevention may delay valid signals by up to 10 bars after previous signal
💡 What Makes This Unique
Unified SMC Framework: Combines all major SMC concepts into one cohesive indicator rather than requiring multiple tools
Objective Scoring System: Removes subjectivity by quantifying confluence into measurable scores
Institutional Timing Integration: Built-in killzone awareness ensures signals align with high-volume sessions
Quality Filtering: ATR-based FVG filtering and displacement-required OBs eliminate low-quality setups
Anti-Overtrading Logic: Smart signal spacing prevents emotional trading during choppy conditions
🔬 How It Works
Step 1: HTF Bias Determination
Analyzes higher timeframe pivot highs and lows
Compares consecutive pivots to identify HH/HL (bullish) or LH/LL (bearish) sequences
Establishes directional filter that all signals must respect
Step 2: LTF Structure Mapping
Detects swing points on execution timeframe
Identifies BOS when price closes beyond confirmed swing level
Recognizes CHoCH when structure break occurs against current trend
Step 3: Confluence Calculation
Awards +1 for HTF bias alignment
Awards +1 for active killzone timing
Awards +1 for optimal zone positioning (discount for longs, premium for shorts)
Awards +1 for price at unmitigated POI
Awards +1 for recent liquidity sweep in trade direction
Awards +1 for recent supportive structure break
Step 4: Signal Generation
Compares total score against user-defined minimum threshold
Requires candle confirmation (bullish close for longs, bearish close for shorts)
Applies 10-bar spacing filter to prevent signal clustering
💡 Note:
This indicator is designed for traders already familiar with Smart Money Concepts. While it automates detection and scoring, understanding why each factor matters will significantly improve your ability to filter signals and manage trades effectively. Use the minimum confluence setting to match your risk tolerance, higher values mean fewer but higher-quality signals.
Range Indicator Golden Pocket, Liquidity, FairValueGapOverview
This indicator is a comprehensive institutional market structure toolkit. It is designed to identify high-probability reversal zones by merging three powerful technical analysis concepts: Fibonacci Golden Pockets (61.8% - 65%), Liquidity Pool Analysis (Swing Failure Patterns), and Fair Value Gaps (FVG). By automating the detection of price inefficiencies and "stop runs," it helps traders navigate complex price action with objective, rule-based confirmation.
What the Script Does
The script continuously monitors a user-defined lookback period to define a trading range. Within this range, it dynamically plots:
Golden Pockets: High-confluence retracement zones (calculated as 0.35 - 0.382 internal range levels).
Liquidity Zones: Highlighted regions at the absolute high and low (Top/Bottom 5%) where institutional orders and retail stops are typically concentrated.
Swing Failure Patterns (SFP): Real-time detection of liquidity grabs where price breaches a range extreme but fails to close outside, signaling a potential trap.
Fair Value Gaps (FVG): Visualizes 3-candle price imbalances, showing areas of aggressive buying or selling that often act as future magnets or support/resistance.
2-Candle Confirmation: A momentum-based filter requiring a candle-close confirmation before a reversal signal is generated.
For Whom is it?
Smart Money Concepts (SMC) & ICT Students: Traders looking for automated liquidity sweeps and market inefficiencies.
Fibonacci & Mean Reversion Traders: Those seeking a clean, professional visualization of the Golden Pocket across multiple timeframes.
Systematic Day Traders: Who require strict price-action confirmation (SFP and 2-candle rules) to remove emotional bias from their entries.
Functions and Input Options
1. Market Structure & Visuals
Lookback Period (Default: 100): Defines the window for calculating the range extremes.
Box Offset Right (Default: 50): Extends all zones into the future for better anticipatory trading.
Show Price Lines & Labels: Displays the exact price for every zone boundary on the right axis for precise execution.
2. Fair Value Gap (FVG) Settings
Show Fair Value Gaps: A toggle to enable/disable the plotting of price imbalances.
FVG Extension (Default: 10): Determines how many bars into the future the FVG box remains visible.
Custom Colors: Separate color inputs for Bullish (Gap Up) and Bearish (Gap Down) inefficiencies.
3. Professional Alert System
The script includes five specific alert conditions:
GP Touch: Early warning when price enters a Golden Pocket.
2-Candle Pattern: Confirmed momentum shift within a Golden Pocket.
SFP Long/Short: Alerts when a Liquidity Grab (Swing Failure) is confirmed at the range high or low.
Transparency and Compliance (Moderator Info)
Non-Repainting Logic: All signals (SFP, 2-Candle, and FVG) are calculated and triggered based on confirmed candle closes. Drawings use barstate.islast purely for visual efficiency without altering historical data integrity.
Educational Context: The script visualizes well-known market principles (Fibonacci, SFPs, and FVGs) to aid traders in their analysis; it does not provide automated financial advice or "black-box" buy/sell signals.
Resource Management: Optimized for Pine Script v5, using efficient array and box handling to ensure smooth performance even on lower timeframes.
Order Blocks Volume Delta 3D | Flux ChartsGENERAL OVERVIEW:
Order Blocks Volume Delta 3D by Flux Charts is a rule-based order block and volume delta visualization tool. It detects bullish and bearish order blocks using a profile-of-price approach: the indicator finds the most actively traded price area (Point of Control, or POC) between a swing high/low and the Break of Structure (BOS), then anchors the order block to the earliest still-valid candle that traded through that POC band. From there, it tracks all candles that continue to interact with that zone and overlays both 2D and 3D volume delta views directly inside the order block.
Unlike traditional order block tools that simply use candle bodies or wicks, this indicator is volume-aware. It lets you optionally pull volume from a lower timeframe feed (for example, using 1-minute data while watching a 5-minute chart) to build a much more accurate picture of how buyers and sellers actually traded inside the zone. This makes every block not just a price box, but a volume story: which side dominated, where, and by how much.
All order blocks printed by this indicator are confirmed: BOS and retests are evaluated strictly on closed candles. Nothing is drawn or alerted on partially formed bars, which helps avoid repaint-style flicker and keeps the signals clean and stable.
What is the theory behind the indicator?:
The core idea behind Order Blocks Volume Delta 3D is that not all price levels inside an order block are equal. Some prices are barely touched, while others act like magnets where candles repeatedly trade and heavy volume passes through.
The indicator first finds a swing high or swing low, waits for a clear Break of Structure (BOS), then scans the candles between the swing point and the BOS to find the price level that was touched the most. That level is treated as the POC.
From all candles in the swing-to-BOS range that interact with this POC band, the indicator looks for the earliest candle that is not already mitigated and uses that as the anchor candle for the order block:
The top of the block equals the anchor candle’s high (for a bearish OB) or the top of its wick zone.
The bottom equals the anchor candle’s low (for a bullish OB) or the bottom of its wick zone.
This “earliest valid POC-touching candle” rule makes it easier to visualize how price and volume developed from the very start of a meaningful zone, while ignoring POC touches that are already fully mitigated by the time the structure is confirmed. On top of that, each candle is split into bullish and bearish volume. If you choose a lower timeframe volume input, the tool aggregates lower timeframe candles into your chart timeframe, giving a more granular bull-versus-bear breakdown for each bar. The result is
an order block that not only shows where price moved but also which side pushed it, how aggressively, and how that balance shifted over time.
ORDER BLOCKS VOLUME DELTA 3D FEATURES:
The Order Blocks Volume Delta 3D indicator includes 4 main features:
1. Order Blocks
2. Volume Delta
3. 3D Visualization
4. Alerts
ORDER BLOCKS:
🔹What is an Order Block
An order block is a price zone where a clear displacement move began after liquidity was taken. It usually forms around the last consolidation or cluster of candles before price breaks structure with a strong move.
In this indicator, order blocks are defined as structured zones that:
Begin at the earliest unmitigated candle that interacted with the most-touched price level (POC) between swing and BOS.
Extend through the full wick range of that anchor candle.
Stretch forward in time, tracking how price continues to trade through, respect, retest, or invalidate the zone.
Are only printed once the BOS is fully confirmed on closed candles (confirmed order blocks only).
Example of bullish and bearish order blocks anchored at the earliest unmitigated candle in the POC zone:
🔹How are Order Blocks detected
The indicator uses a step-by-step, rules-based process to detect bullish and bearish order blocks. The logic is designed to match discretionary Smart Money concepts but with strict, repeatable rules.
Step 1: Detect swing highs and swing lows
Swing High: a candle whose high is higher than the highs of surrounding candles.
Swing Low: a candle whose low is lower than the lows of surrounding candles.
The Swing Length input controls how many candles are checked to the left and right.
Example of swing high and swing low detection:
Step 2: Confirm Break of Structure (BOS)
Once a swing is confirmed, the indicator waits for price to break past that swing:
Bullish BOS: price closes above a previous swing high.
Bearish BOS: price closes below a previous swing low.
To avoid “live” flicker, BOS logic is evaluated based on the previous closed candle. The order block is only confirmed once the BOS candle has fully closed and the next bar has opened. This is one of the reasons the script only shows confirmed, non-repainting order blocks.
Example of bullish BOS and bearish BOS:
Step 3: Build the POC range between swing and BOS
Between the swing candle and the BOS candle, the indicator:
Scans all candles in that range.
Tracks every price level touched using binning (POC bins).
Counts how many times each price band was touched by candle wicks.
The bin with the highest touch count becomes the POC band. This is where price traded most often, not necessarily where volume was highest.
Example of the POC band between swing and BOS.
Step 4 – Anchor the order block to the earliest valid POC candle
From all candles in the swing-to-BOS range, the indicator finds the earliest candle whose high/low overlaps the POC band and whose zone is not already mitigated. That candle becomes the anchor candle for the order block:
For a bearish OB, the block spans the anchor candle’s full wick range, with its top at the high.
For a bullish OB, the block spans the anchor candle’s full wick range, with its bottom at the low.
By requiring the anchor to be the earliest unmitigated interaction with POC, the script avoids building blocks from price action that has already been fully traded through and is less relevant.
Step 5: Extend and manage the order block
Once created, the block:
Extends to the right by a configurable number of candles (Extend Zones).
Continues until it is invalidated by wick or close, depending on the chosen method.
Can show retest labels when price revisits the zone after creation.
Is included or excluded from display depending on the Show Nearest and Hide Invalidated Zones settings.
Example of active and invalidated OB.
🔹Order Block Settings
◇ Swing Length
Swing Length controls how sensitive swing highs and lows are.
Lower Swing Length: Swings form more frequently, which leads to more frequent BOS events and order block formations.
Higher Swing Length: Only larger, more meaningful swings are detected, which leads to less frequent BOS events and less order block formations.
◇ Invalidation
Invalidation determines how an order block is considered “mitigated” or no longer valid.
Wick: For bullish OBs, if price wicks completely through the bottom of the zone, the order block is invalidated. For bearish OBs, if price wicks completely through the top, the order block is invalidated.
Close: For bullish OBs, the block is invalidated only when a candle closes below the bottom. For bearish OBs, it is invalidated only when a candle closes above the top.
Example of wick invalidation:
Example of close invalidation:
◇ Show Nearest
Show Nearest limits how many active order blocks are displayed based on proximity to current price. For example, a value of 2 will display only the two nearest bullish order blocks and two nearest bearish order blocks.
Chart with Show Nearest set to 3:
◇ Extend Zones
Extend Zones define how many candles forward each order block should project beyond the right most candle on the chart.
Chart with Extend Zones set to 10:
◇ Retest Labels
When enabled, the indicator prints labels on every clean retest of an active order block, as long as that block remains valid. Key points:
A retest label is only printed once the retest candle has fully closed – you always see confirmed retests, not intrabar tests.
Retest labels are positioned on the actual retest candle so you can visually see which bar interacted with the zone.
In addition, if multiple retests occur in quick succession, the indicator applies a built-in three-candle buffer between retests. That means only the first valid retest within each three-bar window is labeled (and can trigger an alert), helping to reduce clutter while still highlighting meaningful interactions with the zone.
Example of retest labels on bullish and bearish order blocks.
◇ Hide Invalidated Zones
Hide Invalidated Zones controls whether mitigated/invalidated blocks stay drawn.
Enabled: Only currently valid, unmitigated order blocks are shown (subject to Show Nearest)
Disabled: Both active and invalidated order blocks are displayed.
VOLUME DELTA:
🔹What is Volume Delta
Volume delta measures the difference between buying and selling volume. Instead of only showing “how much volume traded”, it separates volume into bullish and bearish components.
In this indicator:
Bullish volume = volume from candles (or lower timeframe candles) that closed higher.
Bearish volume = volume from candles that closed lower.
Delta % shows how dominant one side was compared to the total.
Example of bullish and bearish order blocks with volume delta and total volume.
🔹How is Volume Delta calculated?
The indicator uses a flexible, timeframe-aware volume engine.
1. Choose a Volume Delta Timeframe.
If the selected timeframe is equal to or higher than the chart timeframe, the indicator simply uses chart-volume per candle.
If the selected timeframe is lower than the chart timeframe (for example, 1‑minute volume on a 5‑minute chart), the indicator pulls all lower timeframe candles for each chart bar and sums them.
2. Split each bar into bull and bear volume.
For each contributing candle:
If close > open → its volume is added to bullish volume.
If close < open → its volume is added to bearish volume.
If close == open → its volume is split evenly between bullish and bearish.
3. Aggregate for each order block.
For each order block:
The indicator loops once from the swing candle to the BOS candle.
It records every candle that touches the POC band.
For each touching candle, it adds its bull and bear volumes (either directly from chart candles or from aggregated lower timeframe candles).
Total volume = bullish volume + bearish volume
Delta % = (bullish volume or bearish volume / total volume ) * 100, depending on which side is dominant.
🔹Volume Delta Settings:
◇ Display Style
Display Style controls how the volume delta is drawn inside each order block:
Horizontal:
Bullish and bearish fills extend horizontally from left to right.
The filled strip sits along the base of the block, with a bull vs bear gradient.
Vertical:
Bullish and bearish fills stretch vertically inside the zone.
The bullish percentage controls how much of the block is filled with the “dominant” color.
Example of Horizontal display style.
Example of Vertical display style.
◇ Volume Delta Timeframe
Volume Delta Timeframe tells the indicator whether to use chart volume or lower timeframe volume. When set to a lower timeframe, the indicator aggregates all lower timeframe candles that fall inside each chart bar, splitting their volume into bullish and bearish components before summing.
Using a lower timeframe:
Increases precision for how volume truly behaved inside each bar.
Helps reveal hidden absorption and aggressive flows that a higher timeframe candle might hide.
Example of volume delta based on chart timeframe.
Example of volume delta based on lower timeframe than chart(same OB as above)
◇ Display Total Volume
When enabled, the indicator prints the total volume for each order block as a label positioned inside the zone, near the bottom-right corner. This total is the sum of bullish and bearish volume used in the delta calculation and gives you a quick sense of how “heavy” the trading was in that block compared to others.
Example of total volume label inside multiple order blocks.
◇ Show Delta %
Show Delta % draws a small text label on the strip of the block that displays the dominant side’s percentage. For example, a bullish block might show “72%” if 72% of all volume inside that POC band came from bullish volume.
Example of Delta %:
3D VISUALIZATION:
The 3D Visualization feature turns each order block into a 3D plot.
🔹What the 3D Visualization does:
Wraps the order block with side faces and a top face to create a 3D bar effect.
Uses delta percentages to tilt the top face toward the dominant side.
Projects blocks into the future using Extend Zones, making the 3D blocks visually stand out.
🔹How it works:
The front face of the OB shows the standard 2D zone.
The side face extends forward in time based on the 3D depth setting.
The top face is angled depending on the Display Style and bull vs bear delta, making strong bullish blocks “rise” and strong bearish blocks “sink”.
🔹How the 3D depth setting affects visuals
Lower 3D depth:
Shorter side faces.
Subtle 3D effect.
Higher 3D depth:
Longer side faces projecting further into the future.
Stronger 3D effect that visually highlights key zones.
Example of lower 3D depth:
Example of higher 3D depth:
ALERTS:
The indicator supports alert conditions through TradingView’s AnyAlert() engine, allowing you to set alerts for the following:
New Bullish Order Block formed
New Bearish Order Block formed
Bullish OB Retest
Bearish OB Retest
Important alert behavior:
Order block alerts only fire when a new block is confirmed (after BOS closes and the next bar opens).
Retest alerts only fire when a retest candle has completely finished, matching the behavior of the visual retest labels.
IMPORTANT NOTES:
3D faces for order blocks are built using polylines. In some situations, especially when an order block’s starting point (its left edge) is beyond the chart’s left-most visible bar, the top 3D face may appear slightly irregular, skewed, or incomplete. This is purely a drawing limitation related to how the chart engine handles off-screen polyline points. Once the starting point of that order block comes into view (by zooming out or scrolling back), the 3D top face corrects itself and the visual becomes fully consistent. This issue affects only the 3D top face drawing, not the actual order-block box itself. The underlying zone, prices, and volume calculations remain accurate at all times.
If all conditions are met to create a new order block but the resulting zone would overlap an existing active order block, the new block is intentionally not created. A built-in guard prevents overlapping active zones to keep the structure clean and easier to interpret.
3D face drawing is implemented using an adaptive polyline method, which can be relatively calculation-heavy on certain symbols, timeframes, or chart histories. In some cases this may lead to calculation timeout error from TradingView.
UNIQUENESS:
This indicator is unique because it:
Anchors each order block to the earliest unmitigated candle that traded through the most-touched POC band between swing and BOS, rather than a generic “last up/down candle” or a random volume spike.
Builds a dedicated volume engine that can pull either chart timeframe volume or aggregated lower timeframe volume, then splits it into bull and bear components.
Adds 3D visualization on top of standard zones, turning each OB into a visually weighted slab rather than a flat rectangle.
Provides clean toggles (Show Nearest, Hide Invalidated Zones, Extend Zones, Display Style, Delta %, and total volume labels) so you can dial the indicator from extremely minimal to fully detailed, depending on your trading workflow.
Combined, these features make the indicator not just an order block plotter, but a complete volume‑informed structure tool tailored for traders who want to see where price actually traded and whether bulls or bears truly controlled the move inside each order block.
PHEN ATLAS - Market Map & Playbook [PhenLabs]📊 PHEN ATLAS 🎂 #50 🎂
Version: PineScript™ v6
📌 Description
The PHEN ATLAS marks a historic milestone as the 50th official release from PhenLabs . This is a critical release you do not want to miss, serving as a comprehensive Market Map and Playbook designed to provide traders with a complete structural overview of price action. By synthesizing Market Structure, Liquidity concepts, and Regime detection, this script solves the problem of "analysis paralysis" by grading price action in real-time. It moves beyond simple indicators by offering a quantified "Playbook" that scores trade setups from 0 to 100, helping traders focus exclusively on high-probability opportunities while automating the complex math of position sizing and risk management.
🚀 Points of Innovation
Proprietary Scoring Engine: Unlike standard indicators, this script assigns a quantitative score (0-100) to every potential trade based on confluence factors like HTF alignment and displacement.
Dynamic Regime Detection: Features an integrated dashboard that classifies the market into specific phases (Expansion, Trend, Range) using ADX and EMA alignment logic.
Smart Liquidity Pools: Automatically identifies and visualizes resting liquidity, tracking when these pools are "swept" to generate high-probability reversal signals.
Integrated Trade Manager: Automates the calculation of Stop Loss, Take Profit (1:2 and 1:3), and Position Size based on account balance and risk percentage directly on the chart.
Multi-Mode Interface: Offers three distinct visual modes—Clean, Pro, and Sniper—allowing users to toggle between deep analysis and clutter-free execution instantly.
🔧 Core Components
Structure Module: Identifies Pivots, Break of Structure (BOS), and Change of Character (CHoCH) to define the current market bias.
Liquidity Engine: Plots liquidity pools at key swing points and detects "Sweeps" where price grabs liquidity before reversing.
Regime Filter: Uses a combination of EMAs (21/50) and ADX to determine if the market is trending or ranging, filtering out low-quality signals.
Setup Validator: Monitors for three specific setup types (Sweep, Snapback, FVG Retest) and triggers alerts only when specific scoring thresholds are met.
🔥 Key Features
Automated detection of High Timeframe (HTF) structure without repainting issues.
Real-time grading of price displacement to validate institutional intent.
Visual Risk/Reward boxes that automatically adjust to the volatility (ATR) of the asset.
Fair Value Gap (FVG) detection with auto-mitigation tracking to clean up the chart.
Customizable alerts for A+ setups, regime changes, and trade invalidations.
Detailed dashboard displaying current Trend, Phase, Bias, and the score of the last setup.
🎨 Visualization
Structure Points: Triangles for BOS and Diamonds for CHoCH events clearly mark trend shifts.
Liquidity Lines: Dotted lines extending from pivots indicate un-swept liquidity pools; these dim automatically when swept.
Setup Signals: Prominent "A+" labels appear on the chart when a setup meets the minimum score threshold defined by the user.
Risk Boxes: Color-coded boxes (Green for Long, Red for Short) show Entry, Stop Loss, and Take Profit levels visually.
Dashboard: A compact table in the bottom right corner provides a "Heads Up Display" of the market state.
📖 Usage Guidelines
Display Mode: Select between 'Clean' for signals only, 'Pro' for full analysis including FVGs and Structure, or 'Sniper' for only high-score setups.
HTF Timeframe: Sets the higher timeframe for structural analysis (Default: 240/4-Hour) to ensure you trade with the dominant trend.
Min Score for A+ Setup: Threshold (0-100) required to trigger a signal (Default: 83); increase this to filter for only the absolute best trades.
Risk %: Defines the percentage of your account you are willing to risk per trade (Default: 1.0%), used for the position size calculation.
Account Balance: Input your current capital (Default: 10,000) to receive accurate unit sizing for every trade setup.
ADX Threshold: Adjusts the sensitivity of the Regime detection filter (Default: 20) to determine when the market is trending versus ranging.
✅ Best Use Cases
Confluence Trading: Use the scoring system to filter discretionary entries, taking trades only when the system scores them above 80.
Prop Firm Trading: Utilize the built-in position size calculator to strictly adhere to risk management rules during evaluations.
Trend Following: Wait for the Regime Dashboard to show "Bullish Expansion" before taking Long "Snapback" entries.
Reversal Trading: Focus on "Sweep Reclaim" setups where price sweeps a liquidity pool and immediately closes back within range.
⚠️ Limitations
This tool is a trend-following and reversal system; it may produce lower scores during undefined, low-volatility chop.
The position size calculator is an estimation based on the entry candle; actual execution slippage is not accounted for.
HTF data relies on closed candles to prevent repainting, which may result in a slight lag during rapid volatility spikes.
💡 What Makes This Unique
Playbook Scoring: Most indicators just give a signal; PHEN ATLAS gives you a "Grade" (e.g., 85/100), allowing you to make informed decisions based on quality, not just frequency.
Context Awareness: The script understands "Market Regime" and creates a context-aware bias, rather than blindly firing signals in a range.
🔬 How It Works
Step 1 - Regime Definition: The script analyzes the 21/50 EMA relationship and ADX to define if the market is in a Trend or Range.
Step 2 - Structure & Liquidity: It maps key pivots and liquidity pools, waiting for a "Sweep" event or a structural break.
Step 3 - Setup Trigger: When a specific pattern occurs (like a Sweep Reclaim), the engine calculates a score based on displacement, volume, and key level alignment.
Step 4 - Execution Logic: If the score > Threshold, the Trade Manager calculates the invalidation point (SL) and projects 2R/3R targets automatically.
🎉 Message From The Team 🎉
2025 was an amazing year. 12 months of building, shipping, and improving together with you. Hitting our 50th indicator release marks one full year of weekly drops , and we couldn't have done it without this community, and of course, BIG thank you to TradingView and it's team.
Thank you for all the feedback, charts, and support. Let's make 2026 even bigger. We can't wait to show you what we've been working on. 🚀
💡 Note
For best results, we recommend using the "Pro" mode during analysis to understand the narrative, and switching to "Sniper" or "Clean" during execution to maintain focus. Always ensure your "Account Balance" input matches your broker balance for accurate risk calculations.
Sessions and Killzones [Tradeuminati]Tradeuminati – Sessions & Killzones is a New York local time based session toolkit designed for traders who want clean, objective session structure on their chart: session boundaries, killzones, session highs/lows, and previous day levels plus a live “liquidity taken” checklist.
Key Features
1) Sessions (New York Time)
London Session (0:00 – 6:00 NY)
- Vertical start/end lines
- Live session High and Low tracking during the session
- High/Low levels extend until 16:00 NY
- Labels: Ls - H and Ls - L
- Option to display only the current day
Asia Session (Previous Day, 18:00 – 00:00 NY)
- Vertical start/end lines for the previous day session
- Live session High and Low tracking
- High/Low levels extend into the next day until 16:00 NY
- Labels: As - H and As - L
- Option to display only the current day
2) Killzones (New York Time)
London Killzone: 2:00 – 5:00 NY
- Optional DAX-only mode: If enabled, DAX uses 3:00 – 5:00 NY (DAX opening), while other assets remain 2:00 – 5:00 NY
New York Killzone (auto-adjust by asset type)
- Indices: 9:30 – 11:00 NY
- Other assets (FX / Commodities / Crypto): 7:00 – 10:00 NY
New York PM Killzone: 14:00 – 15:00 NY (all assets)
ll killzone lines are placed from the start of the NY day, so you can see upcoming killzones in advance (not only after candles appear).
3) Previous Day High / Low (PDH / PDL)
- Automatically calculates the full previous NY day range (00:00 – 23:59 NY)
- Plots PDH and PDL into the current day
- Labels: PDH and PDL
4) Live “Liquidity Taken” Table
- A compact table in the bottom-left shows whether price has:
- swept Asia High / Asia Low
- swept London High / London Low
- taken PDH / PDL
A green checkmark appears instantly once a level is broken.
Customization
Fully adjustable colors, widths, and line styles for:
- Session vertical lines
- Session high/low lines
- Killzones
- PDH/PDL
Adjustable label size
Day filtering options (current day only)
-----
Disclaimer
This indicator is for educational and technical analysis purposes only. It does not constitute financial or investment advice. Trading involves risk.
Apex ICT: Proximity & Delivery FlowThis indicator is a specialized ICT execution tool that automates the identification of Order Blocks, Fair Value Gaps, and Changes in State of Delivery (CISD). Unlike standard indicators that clutter the screen, this script uses a Proximity Logic Engine to ensure you only see tradeable levels. It automatically purges old data (50-candle CISD limit) and deletes mitigated zones the moment they are breached, leaving you with a clean, institutional-grade chart.
Killzones [Tradeuminati]Killzones is a precise TradingView indicator designed to display the most important institutional trading windows (“Killzones”) based strictly on New York local time.
The indicator focuses on accurate session timing, automatic asset classification, and stable chart behavior without affecting price scale or candle colors.
🔹 Included Killzones (NY Local Time)
London Killzone
02:00 – 05:00
New York Killzone (AM)
Indices & Index CFDs: 09:30 – 11:00
All other assets (Forex, Crypto, Commodities such as Gold, DXY): 07:00 – 10:00
New York PM Killzone
14:00 – 15:00
🔹 Asset Logic (Fully Automatic & Locked)
- Indices and Index CFDs are detected automatically
- Forex, Crypto, Commodities (e.g. Gold/XAUUSD, DXY) always use the 07:00–10:00 New York Killzone
- Stocks (Equities) are completely excluded
→ no lines, no table, no status display
This ensures the indicator is purpose-built for intraday trading in highly liquid markets and intentionally not designed for stock charts.
🔹 Chart Visualization
- Vertical session lines are drawn statically at the start of each New York trading day
- Lines are not dependent on bar timestamps
- No distortion of the price scale
- Session lines are shown only on intraday timeframes below 4H
- Line color, width, and style are fully adjustable
🔹 Status Table (Top Right)
- Clear overview of all Killzones with start and end times
- Live status indicator (green/red) based on the real current time (timenow), not the last printed candle
- The table remains visible on all timeframes (except stocks)
🔹 Technical Highlights
- Pure New York time–based logic, independent of chart timezone
- No future-bar plotting
- Stable across different brokers and CFD feeds
- Does not interfere with other indicators or candle coloring
⚠️ Disclaimer
This indicator is intended for technical analysis only and does not constitute trading or investment advice.
Smart Money Confluence Heatmap [PhenLabs]📊 Smart Money Confluence Heatmap
Version: Pine Script™ v6
📌 Description
The Smart Money Confluence Heatmap is a professional‑grade Smart Money Concepts indicator designed to identify high‑probability institutional trading zones. It merges multiple advanced market factors into a single confluence score, allowing traders to focus only on areas that matter. By synthesizing Fair Value Gaps, Order Blocks, Liquidity Sweeps, Volume Strength, and Market Structure, this script removes subjective bias and replaces it with data‑driven confirmation.
🚀 Points of Innovation
Unified confluence scoring system combining five institutional concepts
Adaptive ATR‑based zone sizing for volatility‑adjusted precision
Automatic trend and structure alignment scoring
Volume‑validated Order Blocks and Liquidity Sweeps
Probability‑ranked zones instead of static levels
🔧 Core Components
Fair Value Gap detection with imbalance strength scoring
Order Block identification confirmed by displacement and volume
Liquidity sweep analysis using wick depth and volume expansion
Volume strength modeling for accumulation and distribution phases
Market structure confirmation using BOS and directional bias
🔥 Key Features
Confluence heatmap zones graded by bullish and bearish probability
Minimum score filtering to remove low‑quality setups
Automatic risk‑to‑reward based TP and SL projections
Entry alerts when price taps validated institutional zones
🎨 Visualization
Color‑graded heatmap zones representing probability strength
Percentage score labels with component icons
On‑chart dashboard displaying market bias and structure state
✅ Best Use Cases
Liquidity sweep reversals at key structure levels
Trend‑aligned pullbacks into institutional zones
Intraday and swing trading using confluence confirmation
⚠️ Limitations
Not designed for low‑liquidity or extremely ranging markets
Confluence does not guarantee outcomes and requires risk management
💡 What Makes This Unique
Objective probability scoring instead of subjective SMC interpretation
Multi‑layer institutional confirmation in a single indicator
Built for traders who demand clarity, not chart clutter
💡 Note:
This indicator is for educational purposes only and should always be used alongside proper risk management and higher‑timeframe context.
Liquidity Trap Detector Pro [PyraTime]The Problem: Why You Get Stopped Out
90% of retail traders place their stop-losses at obvious swing highs and lows. Institutional algorithms ("Smart Money") are programmed to push price through these levels to trigger liquidity, fill their heavy orders, and then immediately reverse the market.
If you have ever had your stop hit right before the market moves exactly where you predicted—you were the victim of a Liquidity Trap.
The Solution: Visualizing the "Stop Hunt"
Liquidity Trap Detector Pro is not just a support/resistance indicator. It is a comprehensive Reversal Scoring Engine.
Unlike standard indicators that spam signals on every wick, this tool uses a proprietary 5-Star Scoring System to analyze the quality of the trap. It validates every signal using Wick Symmetry, RSI Divergence, and Volume Analysis to separate a true reversal from a trend continuation.
Key Features (USP)
- 5-Star Scoring Engine: Every signal is rated from 1 to 5 stars. Stop guessing if a signal is valid; let the algorithm check the confluence for you.
- Glassmorphism Visuals: Gone are the messy lines. We use modern, semi-transparent "Liquidity Zones" that keep your chart clean and professional.
- Smart Terminology: Automatically identifies Bull Traps (Buyers trapped at highs) and Bear Traps (Sellers trapped at lows).
- Heads-Up Display (HUD): A professional dashboard monitors the market state, active filters, and recent trap statistics in real-time.
- Strict Non-Repainting: (Technical Note) This script uses strict non-repainting logic. All Higher Timeframe (HTF) data is confirmed and closed before a signal is generated, ensuring historical accuracy.
---
Tutorial: How to Trade This Indicator
1. Understanding the Signals
We use correct institutional terminology to describe the market mechanics:
GREEN Signal (BEAR TRAP):
- What happened: Price swept a Swing Low, enticing sellers (Bears) to enter. The candle then reversed and closed back inside the range, trapping those sellers.
- The Trade: This is a Bullish Reversal setup (Long).
RED Signal (BULL TRAP):
- What happened: Price swept a Swing High, enticing buyers (Bulls) to breakout. The candle reversed and closed lower, trapping the buyers.
- The Trade: This is a Bearish Reversal setup (Short).
2. The 5-Star Scoring System
Not all traps are created equal. The stars tell you how much "Confluence" exists:
- 1 Star: A basic structure sweep. Risky.
- 3 Stars: A solid setup backed by either Volume or Divergence.
- 5 Stars: The "Perfect" Trap. Structure Sweep + RSI Divergence + Volume Spike + Wick Symmetry. High Probability.
3. The Strategy
- Wait for the Zone: Watch price approach a coloured Liquidity Zone.
- Observe the Reaction: Do not trade blindly. Wait for the candle to close.
- Check the Stars: Look for at least 3 Stars before considering an entry.
- Confirm with HUD: Glance at the Dashboard to ensure the "RSI Filter" and "Vol Filter" agree with your analysis.
---
Settings Guide
Structure Settings:
- Pivot Lookback: Adjusts how sensitive the zones are (Default: 10/5).
- HTF Confirmation: Optional filter to only show traps that align with Higher Timeframe structure (e.g., 1H or 4H).
Quality Filters:
- RSI Divergence: Requires momentum to disagree with price (classic reversal sign).
- Volume Spike: Requires volume to be higher than average (Smart Money footprint).
Visuals:
- Clean Mode: A presenter-favorite feature. Hides all historical zones and leaves only the active setup—perfect for taking screenshots or sharing analysis.
Disclaimer
This tool is designed to assist with technical analysis and identifying potential areas of interest. It does not guarantee profits. Trading involves significant risk; always use proper risk management.
ICT Concepts [Kodexius]ICT Concepts is an all in one, chart overlay toolkit that combines several widely used ICT style components into a single, modular workflow. It is designed to help you map higher timeframe context, track directional structure, and refine execution areas with imbalance and liquidity concepts, without turning the chart into a cluttered drawing board.
Instead of plotting everything indefinitely, each module focuses on “live relevance” and chart readability. Zones, lines, and labels are managed with sensible limits so the most recent and most meaningful structures remain visible while older objects are automatically retired.
Because the system is modular, you can run it like a complete toolkit:
- Use multi timeframe Order Blocks to define high probability zones
- Use Market Structure (BOS and MSS) for bias and context
- Validate intent with SMT Divergence when you want intermarket confirmation
- Refine with Imbalances (FVG, BPR, CE) and Liquidity Sweeps
- Add timing structure via Killzones and risk structure via auto Fibonacci
🔹 Features
🔸 Multi Timeframe Order Blocks (3 candle displacement OB)
The OB engine detects a strict 3 candle displacement sequence (bull and bear) and projects the “order block candle” as a forward extending zone. Detection can run on the chart timeframe or on a user selected higher timeframe and then be displayed on your execution chart.
🔸 Overlap Control
Before adding a new OB, the script checks overlap against existing zones of the same direction. If a new zone intersects an existing one, it is ignored to reduce redundant stacking in the same price area.
🔸 Automatic Extension and Mitigation for Order Blocks
OB zones extend forward on every bar and are removed once mitigation is confirmed. Mitigation is evaluated by close breaking decisively beyond the relevant boundary:
- Bullish OB mitigates when close prints below the OB bottom
- Bearish OB mitigates when close prints above the OB top
🔸 Market Structure (BOS and MSS)
Market Structure is built from swing pivots using a configurable pivot length. When price closes through the latest swing, the script prints a structure event:
BOS (Break of Structure) for continuation
MSS (Market Structure Shift) for a directional change
To keep the chart readable, older structure drawings are capped by history limits.
🔸 SMT Divergence with optional mini panel
SMT can compare the current instrument with a user selected symbol to highlight divergence at swing points. A divergence is flagged when one market makes a new swing extreme while the other fails to confirm.
Optional: a compact right side “compare symbol” candle panel can be enabled so you can visually confirm what the secondary market is doing without leaving the chart.
🔸 Imbalances: FVG, BPR, and CE modes
You can choose between three imbalance views depending on your style:
FVG mode: Fair Value Gaps are plotted as extending zones
CE mode: Consequent Encroachment is visualized using a midpoint line and a half zone fill
BPR mode: Balanced Price Range is formed when a new FVG overlaps an opposing FVG, producing a “balanced” region that often behaves differently than a standalone gap
🔸 Automatic extension, limits, and mitigation for imbalances
Imbalance objects extend forward until mitigated. Mitigation uses wick based logic:
Bullish imbalance mitigates when price wicks below the zone bottom
Bearish imbalance mitigates when price wicks above the zone top
The script also enforces per side limits and removes older items to keep performance stable.
🔸 Liquidity sweeps (buyside and sellside)
The liquidity module tracks swing highs and lows and marks sweep events when price runs the level and then closes back through it, which often behaves like a rejection signal. Sweeps are visualized with a level line plus a small sweep highlight box, with an optional history cap.
🔸 Auto anchored Fibonacci (EQ and OTE focus)
Fibonacci levels are automatically anchored using the most recent structure context so you do not need to manually re draw fibs every time the market evolves. EQ and OTE focused bands are plotted to support common premium discount style workflows, with optional extra levels if desired.
🔸 Killzones (session boxes with optional range tracking)
Asian, London Open, New York AM, and New York PM killzones can be displayed using UTC-5 session definitions. Session boxes dynamically expand as new highs and lows are formed during the session, and historical zones can be retained up to a user set count. Rendering is restricted to intraday timeframes up to 60 minutes for clean scaling and performance.
🔹 Calculations
1) Order Block detection (3 candle displacement)
The OB pattern is defined inside detectLogic() . The zone boundaries always come from candle (the middle candle of the 3 candle sequence).
detectLogic() =>
bool isBull = open > close and close > open and close > open and low < low and close > high
bool isBear = open < close and close < open and close < open and high > high and close < low
[isBull, high , low , time , isBear, high , low , time ]
Interpretation (bullish side):
Candle is bearish
Candle is bullish (the OB candle)
Current candle is bullish and closes above high
low undercuts low to form the sweep style condition
Bearish logic is the mirrored inverse.
2) Multi timeframe projection and duplicate control
If the timeframe input is set, detections are computed on that timeframe and projected onto the current chart using request.security . A last processed time check prevents duplicate prints.
=
request.security(syminfo.tickerid, i_tf, detectLogic())
var int lastBullTime = 0
var int lastBearTime = 0
if mtf_isBull and mtf_bullTime != lastBullTime
lastBullTime := mtf_bullTime
if mtf_isBear and mtf_bearTime != lastBearTime
lastBearTime := mtf_bearTime
3) OB overlap validation and mitigation
Overlap is checked before pushing a new zone, then zones are extended and removed once mitigated by close.
method hasOverlap(array OBs, float top, float bottom) =>
bool overlap = false
if OBs.size() > 0
for i = 0 to OBs.size() - 1
OB item = OBs.get(i)
if (top < item.top and top > item.bottom) or (bottom > item.bottom and bottom < item.top)
overlap := true
break
overlap
method isMitigated(OB this, float currentClose) =>
this.isBull ? (currentClose < this.bottom) : (currentClose > this.top)
4) Market Structure: pivots, BOS, and MSS
Swings are derived from pivots; then BOS/MSS prints when price crosses the latest swing. The script tracks trend state to decide whether the break is continuation (BOS) or shift (MSS).
float ph = ta.pivothigh(i_structLen, i_structLen)
float pl = ta.pivotlow(i_structLen, i_structLen)
bool brokenHigh = ta.crossover(close, lastHigh)
bool brokenLow = ta.crossunder(close, lastLow)
// drawStructure(..., "BOS", ...) or drawStructure(..., "MSS", ...) depending on trend state
5) SMT Divergence conditions
SMT uses pivot highs/lows on both instruments. A bearish SMT prints when the main chart makes a higher high but the compare symbol fails to exceed its prior high. A bullish SMT prints when the main chart makes a lower low but the compare symbol fails to make a lower low.
bool bearishSmt = not na(smtAHighPrev) and not na(smtBHighPrev) and (smtAHighLast > smtAHighPrev) and (smtBHighLast <= smtBHighPrev)
bool bullishSmt = not na(smtALowPrev) and not na(smtBLowPrev) and (smtALowLast < smtALowPrev) and (smtBLowLast >= smtBLowPrev)
6) FVG detection, BPR construction, and CE level
FVGs are detected via a classic 3 bar gap condition. When a new FVG overlaps an opposing FVG, the script builds a BPR using the intersecting region. CE is the midpoint (top + bottom) / 2, plotted as a dashed line plus a half fill box.
bool fvgBullDetected = low > high
bool fvgBearDetected = high < low
// CE
float ceLevel = (this.top + this.bottom) / 2
Imbalance mitigation uses wick logic:
method isMitigated(FVG this, float currentHigh, float currentLow) =>
this.isBull ? (currentLow < this.bottom) : (currentHigh > this.top)
7) Liquidity sweep trigger
A sweep is confirmed only when price runs the pivot level and closes back through it (reject style).
bool sweepBull = i_showLiq and not na(liqLastLow) and not liqLastLowSwept and low < liqLastLow and close > liqLastLow
bool sweepBear = i_showLiq and not na(liqLastHigh) and not liqLastHighSwept and high > liqLastHigh and close < liqLastHigh
8) Killzone session mapping
Sessions are defined in UTC-5 using time() session strings.
string kzTz = "UTC-5"
kzInSession(string sess) =>
not na(time(timeframe.period, sess, kzTz))
bool inAsian = kzInSession("2000-0000")
bool inLondon = kzInSession("0200-0500")
bool inNY = kzInSession("0830-1100")
Hybrid Smart Money Concepts [MarkitTick]💡This indicator provides a comprehensive technical analysis system that combines Market Structure concepts (Smart Money Concepts) with advanced Gap Analysis and a statistical Stress Model. It is designed to help traders identify trend direction, structural pivot points, potential reversal zones (Order Blocks), significant price gaps, and moments of market exhaustion.
Unlike standard ZigZag or Fractal indicators, this script integrates volume, trend maturity, and statistical volatility (Z-Score) to contextually classify price action. By overlaying these elements with a robust Market Structure engine—which identifies Change of Character (CHoCH) and Order Blocks—the tool provides a confluent view of price action.
It automates the detection of institutional footprints, allowing traders to see the structural trend, momentum drivers, and potential exhaustion points simultaneously.
● METHODOLOGY
The script operates on three distinct but complementary logic engines:
• Gap Analysis Engine
This module detects gaps between the previous high/low and the current open. It classifies them into three specific types based on volume and structural context:
Breakaway Gaps: Identified when a gap creates a breakout above a recent Pivot High or below a Pivot Low. This signals the start of a potential new trend.
Exhaustion Gaps: Identified when a gap occurs with high relative volume and meets the Trend Maturity criteria. This often signals the end of a trend.
Runaway Gaps: Standard continuation gaps that occur within a trend.
• Market Structure Engine
Swings and CHoCH: The script uses a left-and-right bar lookback to identify Pivot Highs and Lows. A Change of Character (CHoCH) is plotted when price closes beyond the most recent major pivot.
Order Blocks (OB): Upon a continuation of the trend, the script scans backward to find the extreme candle (the origin of the move) and highlights this zone as an Order Block.
Dynamic Cleanup: Gaps and Order Blocks are automatically removed (mitigated) when price aggressively crosses through their levels.
• Exhaustion & Stress Model
This statistical engine measures market "Stress" by analyzing the impact of price range relative to volume (True Range / Volume).
Calculation: It calculates a Z-Score (Standard Deviation) of this impact.
Logic: When the Z-Score exceeds a specific threshold (Sigma), it indicates a statistical anomaly or "Stress."
Signal: If high stress occurs while price is significantly above the trend baseline, it signals "Buyer Exhaustion." Conversely, high stress below the baseline signals "Seller Exhaustion."
● VISUALS & LEGEND
Before trading, you need to know what the indicator is drawing on your chart:
• Change of Character (CHoCH)
Green Dashed Line: Indicates a Bullish reversal.
Red Dashed Line: Indicates a Bearish reversal.
• Order Blocks (OB)
Green Boxes: Bullish support zones (Buy interest).
Red Boxes: Bearish resistance zones (Sell interest).
Note: Invalidated boxes are automatically deleted.
• Gaps
Blue Box (Breakaway): Strong momentum gap starting a new trend.
Orange Box (Runaway): Continuation gap.
Red Box (Exhaustion): Warning signal; trend may be ending.
• Stress Model Signals
Label "BE" (Red): Buyer Exhaustion. Suggests the bullish move is overextended relative to volume participation.
Label "SE" (Green): Seller Exhaustion. Suggests the bearish move is overextended.
● TRADING STRATEGY
You can use a "Pullback, Continuation & Exhaustion" strategy with this indicator.
• Scenario A: Long Setup (Buying)
Trend Change: Look for a CHoCH label with a Green Dashed Line.
Entry Zone: Look for a Green Order Block (OB) to form.
Confirmation: A Breakaway Gap (Blue) validates the breakout.
Entry: Enter Long when price pulls back into the Green OB.
Exit Warning: If a "BE" (Buyer Exhaustion) label appears, consider tightening stops or taking profit.
• Scenario B: Short Setup (Selling)
Trend Change: Look for a CHoCH label with a Red Dashed Line.
Entry Zone: Look for a Red Order Block (OB) to form.
Confirmation: A Breakaway Gap downwards validates the move.
Entry: Enter Short when price rallies back into the Red OB.
Exit Warning: If an "SE" (Seller Exhaustion) label appears, consider tightening stops or taking profit.
● SETTINGS
• Date Range Filter
Use Date Filter: Toggle time-based filtering.
Start Date: Timestamp to begin calculations.
• Gap Analysis
Min Gap Size: Minimum points required to register a gap.
Logic Inputs: Configures lookback periods and volume multipliers for gap classification.
Visuals: Customize colors for Breakaway, Runaway, and Exhaustion gaps.
• Market Structure
Swing Detection Length: Lookback period for pivot points.
Show CHoCH: Toggle for Change of Character labels.
Show Order Blocks: Toggle for OB boxes.
• Exhaustion & Stress Model
Trend Filter Length: Baseline length for determining trend direction (EMA).
Statistical Lookback: Length for the Z-Score calculation.
Stress Threshold (Sigma): The standard deviation requirement to trigger an exhaustion signal (Default: 2.0).
● DISCLAIMER
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
SMC Post-Analysis Lab [PhenLabs]📊 SMC Post-Analysis Lab
Version: PineScript™ v6
📌 Description
The SMC Post-Analysis Lab is a dedicated hindsight analysis tool built for traders who want to understand what really happened during any historical trading period. Unlike forward-looking indicators, this tool lets you scroll back through time and instantly receive algorithmic classification of market states using Smart Money Concepts methodology.
Whether you’re reviewing a losing trade, studying a successful session, or building your pattern recognition skills, this indicator provides immediate context. The expansion-aware algorithm processes price action within your selected window and outputs clear, actionable classifications ranging from Parabolic Expansion to Consolidation Inducements.
Stop relying on subjective post-trade analysis. Let the algorithm objectively tell you whether institutional players were accumulating, distributing, or running inducements during your trades.
🚀 Points of Innovation
First indicator specifically designed for SMC-based post-trade review rather than live signal generation
Dual-mode analysis system allowing both dynamic scrollback and precise date selection
Expansion-aware classification algorithm that weighs range position against net displacement
Real-time efficiency metrics calculating directional quality of price movement
Integrated visual FVG detection within the analysis window only
Interactive table with clickable date range adjustment via chart interface
🔧 Core Components
Pivot Detection Engine: Uses configurable pivot length to identify significant swing highs and lows for structure break detection
Window Calculator: Determines active analysis zone based on either bar offset or timestamp boundaries
Data Aggregator: Tracks window open, high, low, close and counts bullish/bearish structure break events
State Classification Algorithm: Applies hierarchical logic to determine market state from six possible classifications
Visual Renderer: Draws structure breaks, FVG boxes, and window highlighting within the active zone
🔥 Key Features
Sliding Window Mode: Use the Scroll Back slider to dynamically move your analysis zone backwards through history bar-by-bar
Date Range Mode: Select specific start and end timestamps for precise session or trade review
Six Market State Classifications: Parabolic Expansion (Bull/Bear), Bullish/Bearish Order Flow, Accumulation/Distribution Reversal, and Consolidation/Inducement
Range Position Percentile: See exactly where price closed relative to the window’s high-low range as a percentage
Bull/Bear Event Counter: Quantified count of structure breaks in each direction during the analysis period
Efficiency Calculation: Net move divided by total range reveals trending quality versus chop
🎨 Visualization
Blue Window Highlight: Active analysis zone is clearly marked with blue background shading on the chart
Structure Break Lines: Dashed lines appear at each bullish or bearish structure break within the window
FVG Boxes: Fair Value Gaps automatically render as semi-transparent boxes in bullish or bearish colors
Dashboard Table: Top-right positioned table displays State, Analysis description, and Metrics in real-time
Color-Coded States: Each classification uses distinct coloring for immediate visual recognition
Interactive Tip Row: Optional help text guides users on clicking the table to adjust date range
📖 Usage Guidelines
General Configuration
Analysis Mode: Default is Sliding Window. Choose Date Range for specific timestamp analysis.
Sliding Window Settings
Scroll Back (Bars): Default 0. Increase to move window backwards into history.
Window Width (Bars): Default 100. Range 20-50 for scalping, 100+ for swing analysis.
Date Range Settings
Start Date: Select the beginning timestamp for your analysis period.
End Date: Select the ending timestamp for your analysis period.
Visual Settings
Show Help Tip: Default true. Toggle to hide instructional row in dashboard.
Bullish Color: Default teal. Customize for bullish elements.
Bearish Color: Default red. Customize for bearish elements.
SMC Parameters
Pivot Length: Default 5. Lower values (3-5) catch minor breaks. Higher values (10+) focus on major swings.
✅ Best Use Cases
Post-trade review to understand why entries succeeded or failed
Session analysis to identify institutional activity patterns
Trade journaling with objective algorithmic classifications
Pattern recognition training through historical scrollback
Identifying whether stop hunts were inducements or legitimate breaks
Comparing your real-time read versus what the algorithm detected
⚠️ Limitations
Designed for historical analysis only, not live trade signals
Classification accuracy depends on appropriate pivot length for the timeframe
FVG detection uses simple gap logic without mitigation tracking
State classification is based on window data only, not broader context
Requires manual scrolling or date input to review different periods
💡 What Makes This Unique
Purpose-Built for Review: Unlike most indicators focused on live signals, this is designed specifically for post-trade analysis
Expansion-Aware Logic: Algorithm weighs both position in range AND directional efficiency for accurate state detection
Interactive Date Control: Click the dashboard table to reveal draggable anchors for window adjustment directly on chart
🔬 How It Works
1. Window Definition:
User selects either Sliding Window or Date Range mode
System calculates which bars fall within the active analysis zone
Active zone receives blue background highlighting
2. Data Collection:
Algorithm captures window open, running high, running low, and current close
Structure breaks are detected when price crosses above last pivot high or below last pivot low
Bullish and bearish events are counted separately
3. State Classification:
Range Position calculates where close sits as percentage of high-low range
Efficiency calculates net move divided by total range
Hierarchical logic applies priority rules from Parabolic states down to Consolidation
4. Output Rendering:
Dashboard table updates with State title, Analysis description, and Metrics
Visual elements render within window only to keep chart clean
Colors reflect bullish, bearish, or neutral classification
💡 Note:
This indicator is intended for educational and review purposes. Use it to develop your understanding of Smart Money Concepts by analyzing what institutional order flow looked like during historical periods. Combine insights with your own analysis methodology for best results.
