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Macro Timing Window Signal ⏱️ Macro Timing Window Signal – Check/X Indicator This indicator displays a green check mark ✔️ or red X ✖️ in the top-right corner of the chart based on a repeating macro time cycle that divides every hour into active and inactive windows. How it works: • ✔️ Green Check (Active Macro Window): Appears from xx:45 → xx:15 of the next hour (30-minute macro window). • ✖️ Red X (Inactive Macro Window): Appears from xx:16 → xx:44 (mid-hour cooldown window). • Optional flash signal at the exact macro flip points (xx:45, xx:00, xx:15) to highlight transitions. • Supports sound alerts so you never miss the start or end of a macro window. This tool is designed for traders who incorporate macro-driven time cycles, liquidity sessions, or algorithmic delivery windows into their strategy. The display is fixed on-screen, clean, and unobtrusive, ensuring instant recognition of the current macro state without cluttering the chart.
Pine Script® indicator
by chadp9
Adaptive Risk Management [sgbpulse]1. Introduction: Adaptive Risk Management is an advanced indicator designed to provide traders with a comprehensive risk management tool directly on the chart. Instead of relying on complex manual calculations, the indicator automates all critical steps of trade planning. It dynamically calculates the estimated Entry Price , the Stop Loss location, the required Position Size (Quantity) based on your capital and risk limits, and the three Take Profit targets based on your defined Reward/Risk ratios. The indicator displays all these essential data points clearly and visually on the chart, ensuring you always know the potential risk-reward profile of every trade. ARM : The A daptive R isk M anagement every trader needs to ARM themselves with. 2. The Critical Importance of Risk Management Proper risk management is the cornerstone of successful trading. Consistent profitability in the market is impossible without rigorously defining risk limits. Risk Control: This starts by setting the maximum risk amount you are willing to lose in a single trade (Risk per Trade), and limiting the total capital allocated to the position (Max Capital per Trade). Defining Boundaries (Stop Loss & Take Profit): It is mandatory to define a technical Stop Loss and a Take Profit target. A fundamental rule of risk management is that the Reward/Risk Ratio (R/R) must be a minimum of 1:1. 3. Core Features, Adaptivity, and Customization The Adaptive Risk Management indicator is engineered for use across all major trading styles, including Swing Trading, Intraday Trading, and Scalping, providing consistent risk control regardless of the chosen timeframe. Real-Time Dynamic Adaptivity: The indicator calculates all risk management parameters (Entry, Stop Loss, Quantity) dynamically with every new bar, thus adapting instantly to changing market conditions. Trend Direction Adjustment: Define the analysis direction (Long/Uptrend or Short/Downtrend). Intraday Session Data Control: Full control over whether lookback calculations will include data from Extended Trading Hours (ETH), or if the daily calculations will start actively only from the first bar of Regular Trading Hours (RTH). Status Validation: The indicator performs critical status checks and displays clear Warning Messages if risk conditions are not met. 4. Intuitive Visualization and Real-Time Data Dynamic Tracking Lines: The Entry Price and Stop Loss lines are updated with every new bar. Crucially, the length of these lines dynamically reflects the calculation's lookback range (e.g., the extent of Lookback Bars or the location of the confirmed Pivot Point), providing a visual anchor for the calculated price. Risk and Reward Zones: The indicator creates a graphical background fill between Entry and Stop Loss (marked with the risk color) and between Entry and the Reward Targets (marked with the reward color). Essential Information Labels: Labels are placed at the end of each line, providing critical data: Estimated Entry Price, Stock/Contract Quantity (Quantity), Total Entry Amount, Estimated Stop Loss, Risk per Share, Total Financial Risk (Risk Amount), Exit Amount, Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3. 4.1. Data Window Metrics (16 Full Series) The indicator displays 16 full data series in the TradingView Data Window, allowing precise tracking of every calculation parameter: Entry Data: Estimated Entry, Quantity, Entry Amount. Risk Data (Stop Loss): Estimated Stop Loss, Risk per Share, Risk Amount, Exit Amount. Reward Data (Take Profit): Estimated Take Profit 1/2/3, Reward/Risk Ratio 1/2/3, Total Reward 1/2/3, TP Exit Amount 1/2/3. 4.2. Instant Tracking in the Status Line The indicator displays 6 critical parameters continuously in the indicator's Status Line: Estimated Entry, Quantity, Estimated Stop Loss, Estimated Take Profit 1/2/3. 5. Detailed Indicator Inputs 5.1 General Focused Trend: Defines the analysis direction (Uptrend / Downtrend). Max Capital per Trade: The maximum amount allocated to purchasing stocks/contracts (in account currency). Risk per Trade: The maximum amount the user is willing to risk in this single trade (in account currency). ATR Length: The lookback period for the Average True Range (ATR) calculation. 5.2 Intraday Session Data Control Regular Hours Limitation : If enabled, all daily lookback calculations (for Entry/Stop Loss anchor points) will begin strictly from the first Regular Trading Hours (RTH) bar. This limits the lookback range to the current RTH session, excluding preceding Extended Trading Hours (ETH) data. Only relevant for Intraday charts. Default: False (Off) 5.3 Entry Inputs Entry Method: Selects the entry price calculation method: Current Price: Uses the closing price of the current bar as the estimated entry point (Market Entry). ATR Real Bodies Margin : - Uptrend: Calculates the Maximum Real Body over the lookback period + the calculated safety margin. - Downtrend: Calculates the Minimum Real Body over the lookback period - the calculated safety margin. ATR Bars Margin : - Uptrend: Calculates the Maximum High price over the lookback period + the calculated safety margin. - Downtrend: Calculates the Minimum Low price over the lookback period - the calculated safety margin. Lookback Bars: The number of bars used to calculate the extremes in the ATR-based entry methods (Relevant only for ATR Real Bodies Margin and ATR Bars Margin methods). ATR Multiplier (Entry): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to determine the estimated Entry Price. 5.4 Risk Inputs (Stop Loss) Risk Method: Selects the Stop Loss price calculation method. ATR Current Price Margin : - Uptrend: Entry Price - the calculated safety margin. - Downtrend: Entry Price + the calculated safety margin. ATR Current Bar Margin : - Uptrend: Current Bar's Low price - the calculated safety margin. - Downtrend: Current Bar's High price + the calculated safety margin. ATR Bars Margin : - Uptrend: Lowest Low over lookback period - the calculated safety margin. - Downtrend: Highest High over lookback period + the calculated safety margin. ATR Pivot Margin : - Uptrend: The first confirmed Pivot Low point - the calculated safety margin. - Downtrend: The first confirmed Pivot High point + the calculated safety margin. Lookback Bars: The lookback period for finding the extreme price used in the 'ATR Bars Margin' calculation. ATR Multiplier (Risk): The multiplier applied to the ATR value. The result of the multiplication is the calculated safety margin used to place the estimated Stop Loss. Note: If set to 0, the Stop Loss will be placed exactly at the technical anchor point, provided the Minimum Margin Value is also 0. Minimum Margin Value: The minimum price value (e.g., $0.01) the Stop Loss margin buffer must be. Pivot (Left / Right): The number of bars required on either side of the pivot bar for confirmation (relevant only for the ATR Pivot Margin method). 5.5 Reward Inputs (Take Profit) Show Take Profit 1/2/3: ON/OFF switch to control the visibility of each Take Profit target. Reward/Risk Ratio 1/ 2/ 3: Defines the R/R ratio for the profit target. Must be ≥1.0. 6. Indicator Status/Warning Messages In situations where the Stop Loss location cannot be calculated logically and validly, often caused by a mismatch between the configured Focused Trend (Uptrend/Downtrend) and the actual price action, the indicator will display a warning message, explaining the reason and suggesting corrective action. Status Message 1: Pivot reference unavailable Condition: The Stop Loss is set to the "ATR Pivot Margin" method, but the anchor point (Pivot) is missing or inaccessible. Message Displayed: "Pivot reference unavailable. Wait for valid price action, or adjust the Regular Hours Limitation setting or Pivot Left/Right inputs." Status Message 2: Calculated Stop Loss is unsafe Condition: The calculated Stop Loss is placed illogically or unsafely relative to the trend direction and the Entry price. Message Displayed: "Calculated Stop Loss is unsafe for current trend. Wait for valid price action or adjust SL Lookback/Multiplier." 7. Summary The Adaptive Risk Management (ARM) indicator provides a seamless and systematic approach to trade execution and risk control. By dynamically automating all critical trade parameters—from Entry Price and Stop Loss placement to Position Sizing and Take Profit targets—ARM removes emotional bias and ensures every trade adheres strictly to your predefined risk profile. Key Benefits: Systematic Risk Control: Strict enforcement of maximum capital allocation and risk per trade limits. Adaptivity: Dynamic calculation of prices and quantities based on real-time market data (ATR and Lookback). Clarity and Trust: Clear on-chart visualization, precise data metrics (16 series), and unambiguous Status/Warning Messages ensure transparency and reliability. ARM allows traders to focus on strategy and analysis, confident that their execution complies with the core principles of professional risk management. Important Note: Trading Risk This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever. Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Pine Script® indicator
by sgbpulse
FRPC - Fractal Reversal Permission ComponentThis tool identifies high-probability reversal points using a three-stage confirmation model: 1️⃣ Liquidity Sweep (LS) Price must take out a previous fractal high/low, indicating stop-hunt liquidity removal. 2️⃣ Reclaim (RC) After sweeping liquidity, price must close back inside the previous swing, showing absorption and rejection. 3️⃣ Break of Structure (BOS) A structural break confirms a true shift in market direction and avoids false reversal signals. FRPC only triggers BUY or SELL signals when all three layers align, creating actionable reversal conditions rather than random fractal noise. This approach helps avoid chasing breakouts, filters low-quality sweeps, and identifies areas where reversals are statistically more likely. ------------------------------------ What FRRC Helps You Identify ------------------------------------ True reversals after stop-hunts Liquidity grabs followed by displacement Avoiding fake breakouts Swing points with strong reaction potential High-probability turning points with real structure support ---------- Sidenote ---------- The accuracy of the signals range from 56% to 72% and is mainly designed to be a structural filter to be paired with a strong exhaustion system. This is just a bare bones version and I plan to work on a more advanced version yo pair with the current exhaustion systems I'm building out
Pine Script® indicator
by Dr_Wallstreet
PRICE ACTION TRAKKERThis indicator isolates the core price-phase engine from the full Price Action Tracker (PAT) system. It identifies and visualises structural phases of price, including: Upper phase boundary (dynamic resistance) Lower phase boundary (dynamic support) Phase average (mean-reversion anchor) Pivot markers (LPH, LPL, oLPH, oLPL) The phase engine dynamically adapts to evolving market structure using pivot behaviour and structural breaks. This creates a real-time visual map of how price is organising itself — independent of time-based indicators and without the lag associated with classical moving averages. This version focuses exclusively on price action structure, making it clean, fast, and ideal as a core tool on its own. However, it is also designed as a foundation for more advanced analysis and will expand over time as additional modules are released. This phase engine works exceptionally well in combination with my other indicators, such as moving-average structure tools, volume-weighted frameworks, and trend-strength models. Together, they provide a layered view of market behaviour: phase structure → trend bias → volume confirmation → entry logic. This makes the indicator valuable for: Intra-day and swing traders Wyckoff and liquidity-based traders Mean-reversion and range-trading strategies Understanding where accumulation/distribution behaviour is forming Identifying when a phase is likely ending or breaking Future updates will add modular expansion paths (trend scoring, VWAP phase weighting, multi-phase confluence, and signal logic), while maintaining the simplicity and reliability of this core engine. Works Best With: This indicator is part of a broader toolkit designed to analyse structure, trend, and behaviour. When used alongside my other published tools — such as trend-strength MAs, VWMA frameworks, and higher-timeframe bias indicators — it provides a complete, multi-layered view of market conditions.
Pine Script® indicator
by pc75
BTC - FRIC: Friction & Realized Intensity CompositeTitle: BTC - FRIC: Friction & Realized Intensity Composite Data: IntoTheBlock Overview & Philosophy FRIC (Friction & Realized Intensity Composite) is a specialized on-chain oscillator designed to visualize the "psychological battlegrounds" of the Bitcoin network. Most indicators focus on Price or Momentum. FRIC focuses on Cost Basis. It operates on the thesis that the market experiences maximum "Friction" when the price revisits the cost basis of a large number of holders. These are the zones where investors are emotionally triggered to react—either to exit "at breakeven" after a loss (creating resistance) or to defend their entry (creating support). This indicator answers two questions simultaneously: Intensity: Is the market hitting a Wall (High Friction) or a Vacuum (Low Friction)? Valuation: Is this happening at a market bottom or a top? The "Alpha" (Wall vs. Vacuum) Why we visualize both extremes: This indicator filters out the "Noise" (the middle range) to show you only the statistically significant anomalies. 1. The "Wall" (Positive Z-Score Bars) What it is : A statistically high number of addresses are at breakeven. The Implication : Expect a grind. Price action often slows down or reverses here because "Bag Holders" are selling into strength to get out flat, or new buyers are establishing a floor. 2. The "Vacuum" (Negative Z-Score Bars) What it is : A statistically low number of addresses are at breakeven. The Implication : Expect acceleration. The price is moving through a zone where very few people have a cost basis. With no natural "breakeven supply" to block the path, price often enters Price Discovery or Free Fall. Methodology The indicator constructs a composite view using two premium metrics from IntoTheBlock: 1. The "Activity" (Friction Z-Score): We utilize the Breakeven Addresses Percentage. This measures the % of all addresses where the current price equals the average cost basis. - Normalization: We apply a rolling Z-Score (Standard Deviation) to this data. - The Filter: We hide the "Noise" (e.g., Z-Scores between -2.0 and +2.0) to isolate only the events where market structure is truly stretched. 2. The "Context" (Valuation Heatmap): We utilize the MVRV Ratio to color-code the friction. Deep Value (< 1.0): Price is below the average "Fair Value" of the network. Overheated (> 3.0): Price is significantly extended above the "Fair Value." Credit: The MVRV Ratio was originally conceptualized by Murad Mahmudov and David Puell. It remains one of the gold standards for detecting Bitcoin's fair value deviations. How to Read the Indicator The chart is visualized as a Noise-Filtered Heatmap. 1. The Bars (Intensity) Bars Above Zero: High Friction (Congestion). The market is fighting through a supply wall. Bars Below Zero: Low Friction (Vacuum). The market is accelerating through thin air. Gray/Ghosted: Noise. Routine market activity; no significant signal. 2. The Colors (Valuation Context) The color tells you why the friction is happening: 🟦 Deep Blue (The "Capitulation Buy"): Signal: High Friction + Low MVRV. Meaning : Investors are panic-selling at breakeven/loss, but the asset is fundamentally undervalued. Historically, these are high-conviction cycle bottoms. 🟥 Dark Red (The "FOMO Sell"): Signal: High Friction + High MVRV. Meaning : Investors are churning at high valuations. Smart money is often distributing to late retail arrivers. Historically marks cycle tops. 🟨 Yellow/Orange (The "Trend Battle"): Signal: High Friction + Neutral MVRV. Meaning : The market is contesting a level within a trend (e.g., a mid-cycle correction). Visual Guide & Features 10-Zone Heatmap: A granular color gradient that shifts from Dark Blue (Deep Value) → Sky Blue → Grey (Neutral) → Orange → Dark Red (Top). Noise Filter A unique feature that "ghosts out" insignificant data, leaving only the statistically relevant signals visible. Data Check Monitor A diagnostic table in the bottom-right corner that confirms the live connection to IntoTheBlock data streams and displays the current regime in real-time. Settings Lookback Period (Default: 90): The rolling window used for the Z-Score calculation. Shortening this (e.g., to 30) makes the indicator more sensitive to local volatility; lengthening it (e.g., to 365) aligns it with macro cycles. Noise Threshold (Default: 2.0): The strictness of the filter. Only friction events exceeding this Z-Score will be highlighted in full color. Show Status Table : Toggles the on-screen dashboard. Disclaimer This script is for research and educational purposes only. It relies on third-party on-chain data which may be subject to latency or revision. Past performance of on-chain metrics does not guarantee future price action. Tags bitcoin, btc, on-chain, mvrv, intotheblock, friction, z-score, fundamental, valuation, cycle
Pine Script® indicator
by Rob_Maths
ICT Order Block Identifier [Eˣ]📦 Order Block Identifier Overview The Order Block Identifier automatically detects and displays institutional order blocks on your charts - zones where banks, hedge funds, and market makers place their orders. This indicator helps identify where institutions are likely to defend their positions and where price often finds support or resistance, based on ICT (Inner Circle Trader) concepts. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 What This Indicator Does Detects Order Blocks: • 🟢 Bullish Order Blocks (OB+) - Last bearish candle before strong bullish move • 🔴 Bearish Order Blocks (OB-) - Last bullish candle before strong bearish move • Automatically identifies institutional buying/selling zones • Tracks up to 30 order blocks simultaneously • Works on all timeframes and instruments Smart Features: • Auto-Timeframe Adjustment - Optimizes detection for 1min to Weekly charts • Active Block Highlighting - Shows which OB price is approaching • Touch Tracking - Knows when blocks are tested • ATR-Based Detection - Adapts to each instrument's volatility • Strength Filtering - Choose Low/Medium/High to control sensitivity ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📚 Understanding Order Blocks What Are Order Blocks? Order blocks are the "footprints" left behind by institutional traders (banks, hedge funds, market makers) when they enter large positions. Because institutions can't fill massive orders at once without moving the market, they: 1. Place orders gradually over time 2. Leave zones where their buy/sell orders are concentrated 3. Defend these zones when price returns 4. Create reliable support and resistance levels The ICT Concept: Developed by Michael Huddleston (Inner Circle Trader), order block theory states that: • The last opposite-colored candle before a strong move contains institutional orders • Price often returns to test these zones before continuing • These zones act as strong support (bullish OB) or resistance (bearish OB) • Smart money defends their positions at these levels Why Order Blocks Work: • Unfilled Orders: Institutions may still have pending orders in the block • Position Defense: They protect their entries by adding to positions • Stop Placement: Retail stops cluster near these zones (liquidity for institutions) • Market Structure: Price respects these levels due to order flow dynamics ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🟢 Bullish Order Blocks Explained How They Form: 1. Price is consolidating or declining 2. Institutions begin accumulating (buying) 3. A strong bullish move erupts 4. The last bearish candle before this move = Bullish Order Block 5. This candle represents where institutions were buying aggressively Why The Last Bearish Candle? • Institutions absorbed all selling pressure at this level • Their buy orders filled as price was declining • When price returns, they defend this zone with more buying • It becomes a demand zone / support level Trading Bullish Order Blocks: Setup: • Wait for price to retrace back to bullish OB (green box) • Look for rejection/reversal pattern (pin bar, engulfing, etc.) • Enter long when price bounces from the OB zone • Stop loss: Below the order block • Target: Recent high or opposite order block Best Scenarios: • OB aligns with other support (trendline, fibonacci, round number) • First touch of OB (unmitigated) has highest probability • Occurs during high-volume sessions (London/NY) • Trend is bullish on higher timeframe Example Trade: • Bullish OB forms at $50,000 (last red candle before rally) • Price rallies to $52,000 then retraces • Price drops back to $50,100 (touching OB) • Bullish pin bar forms on the OB • Enter long at $50,200, stop at $49,800 • Target: $52,000+ (previous high) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔴 Bearish Order Blocks Explained How They Form: 1. Price is consolidating or rising 2. Institutions begin distributing (selling) 3. A strong bearish move erupts 4. The last bullish candle before this move = Bearish Order Block 5. This candle represents where institutions were selling aggressively Why The Last Bullish Candle? • Institutions absorbed all buying pressure at this level • Their sell orders filled as price was rising • When price returns, they defend this zone with more selling • It becomes a supply zone / resistance level Trading Bearish Order Blocks: Setup: • Wait for price to retrace back to bearish OB (red box) • Look for rejection/reversal pattern (shooting star, bearish engulfing) • Enter short when price rejects from the OB zone • Stop loss: Above the order block • Target: Recent low or opposite order block Best Scenarios: • OB aligns with other resistance (trendline, fibonacci, round number) • First touch of OB (unmitigated) has highest probability • Occurs during high-volume sessions (London/NY) • Trend is bearish on higher timeframe Example Trade: • Bearish OB forms at $48,000 (last green candle before drop) • Price drops to $46,000 then retraces • Price rallies back to $47,900 (touching OB) • Bearish engulfing forms at the OB • Enter short at $47,800, stop at $48,200 • Target: $46,000- (previous low) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 How To Use This Indicator Strategy 1: Order Block Retest (Classic) Best For: Swing trading, capturing reversals Timeframes: 15min, 1H, 4H, Daily Win Rate: 60-70% (first touch) Entry Rules: 1. Identify unmitigated order block (bright color, not gray) 2. Wait for price to return to the OB zone 3. Look for price action confirmation: • Bullish OB: Pin bar, bullish engulfing, hammer • Bearish OB: Shooting star, bearish engulfing, doji 4. Enter in the direction of the OB 5. Stop loss: Beyond the opposite side of OB (20-30 pips) 6. Target: 2-3R or opposite OB Example: • Bullish OB at $100-$102 • Price drops to $101.50 (enters OB) • Bullish pin bar forms with low at $100.80 • Enter long at $102 (OB high), stop at $99.50 • Risk: $2.50, Target: $107.50 (3R) Strategy 2: Break & Retest Best For: Trend trading, breakout confirmation Timeframes: 5min, 15min, 1H Win Rate: 65-75% Entry Rules: 1. Price breaks through an order block 2. Wait for pullback to the broken OB 3. The OB now acts as support (if broken up) or resistance (if broken down) 4. Enter when price respects the flipped OB 5. Stop: Inside the OB zone 6. Target: Next OB or structure level Why It Works: Broken OBs flip polarity - support becomes resistance and vice versa Strategy 3: Multi-Timeframe Confirmation Best For: High-probability setups Timeframes: Combine 1H + 4H or 15min + 1H Win Rate: 70-80% Entry Rules: 1. Identify order block on higher timeframe (4H or Daily) 2. Switch to lower timeframe (1H or 15min) 3. Wait for lower TF order block to form within higher TF OB 4. Trade the lower TF OB in direction of higher TF OB 5. Stop: Below lower TF OB 6. Target: Edge of higher TF OB or beyond Why It Works: Alignment across timeframes = institutional consensus Strategy 4: Order Block to Order Block Best For: Range trading, swing entries Timeframes: 1H, 4H Win Rate: 55-65% Entry Rules: 1. Identify both bullish OB below and bearish OB above 2. Price is ranging between these OBs 3. Enter long at bullish OB, target bearish OB 4. Enter short at bearish OB, target bullish OB 5. Stop: Beyond the trading OB 6. Exit at opposite OB Why It Works: Price moves from one institutional zone to another Strategy 5: Mitigation Fade Best For: Aggressive scalping Timeframes: 5min, 15min Win Rate: 50-60% (higher risk) Entry Rules: 1. Price approaches an order block 2. Instead of bouncing, price breaks through (mitigates it) 3. Enter immediately in direction of breakout 4. Stop: Back inside the mitigated OB 5. Quick target: 1-1.5R Why It Works: When OB fails, it often leads to strong continuation ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ Settings Explained Core Settings Auto-Adjust for Timeframe (Default: ON) • Automatically optimizes detection for current chart timeframe • 1min: 3 bars lookback • 5min: 4 bars lookback • 15min: 5 bars lookback • 1H: 6 bars lookback • 4H: 8 bars lookback • Daily+: 10-12 bars lookback • Recommended: Keep ON for best results Manual Detection Length (Default: 5) • Only used when Auto-Adjust is OFF • Number of bars to look back for the "last opposite candle" • Lower (2-4): More sensitive, more blocks, more noise • Higher (6-10): Less sensitive, fewer blocks, higher quality • Recommended: Use Auto-Adjust instead Display Settings Show Bullish/Bearish Order Blocks • Toggle each type on/off independently • Customize colors for each OB type • Tip: Match colors to your chart theme Max Order Blocks to Display (Default: 10) • Limits how many OBs are shown at once • Lower (5-8): Cleaner chart, only recent blocks • Higher (15-30): More historical context • Recommended: 8-12 for most trading Show Order Block Labels (Default: ON) • Displays "OB+" and "OB-" text on blocks • Shows 🎯 on active (nearest) block • Turn OFF for minimal chart appearance • Recommended: Keep ON for clarity Extend Blocks (bars) (Default: 50) • How far to extend OB boxes to the right • Lower (20-30): Shorter boxes, less clutter • Higher (100+): Longer boxes, easier to see • Blocks auto-extend until mitigated or limit reached • Recommended: 40-60 bars Filters Block Strength Filter (Default: Medium) • Controls how strong a move must be to create an OB • Low: 0.5x ATR move required - Many blocks, more noise • Medium: 1x ATR move required - Balanced quality/quantity • High: 1.5x ATR move required - Only strongest institutional moves • Recommended for beginners: High • Recommended for experienced: Medium • Recommended for scalpers: Low Min Block Size % (Default: 0.1) • Minimum size of OB as percentage of price • Filters out tiny, insignificant blocks • Crypto: 0.1-0.3% • Forex: 0.05-0.15% • Stocks: 0.1-0.5% • Adjust based on instrument volatility Advanced Settings Show Mitigated Blocks (Default: OFF) • When ON: Shows gray boxes for "used" order blocks • When OFF: Blocks disappear after mitigation • Use ON: For learning and analysis • Use OFF: For clean, active trading Highlight Active Block (Default: ON) • Highlights the nearest order block to current price • Active block shown with 🎯 emoji and brighter color • Helps focus on most relevant trading opportunity • Recommended: Keep ON ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📱 Info Panel Guide Bullish OB Count • Number of active (unmitigated) bullish order blocks • Higher number = More support zones below price • Multiple bullish OBs = Strong demand structure Bearish OB Count • Number of active (unmitigated) bearish order blocks • Higher number = More resistance zones above price • Multiple bearish OBs = Strong supply structure Bias Indicator • ⬆ Bullish: More bullish OBs than bearish (demand > supply) • ⬇ Bearish: More bearish OBs than bullish (supply > demand) • ↔ Neutral: Equal OBs on both sides • Trade in direction of bias for higher probability Near Indicator • Shows which OB price is closest to • Displays distance as percentage • Example: "Bull OB 0.85%" = Bullish OB is 0.85% below current price • Watch for "Near" alerts to time entries ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📱 Alert Setup This indicator includes 4 alert types: 1. Price Entering Bullish OB • Fires when price touches a bullish order block • Action: Watch for bounce/reversal pattern • High-probability long setup developing 2. Price Entering Bearish OB • Fires when price touches a bearish order block • Action: Watch for rejection/reversal pattern • High-probability short setup developing 3. New Bullish OB Detected • Fires when a new bullish order block forms • Action: Mark the zone for future retest • New demand zone identified 4. New Bearish OB Detected • Fires when a new bearish order block forms • Action: Mark the zone for future retest • New supply zone identified To Set Up Alerts: 1. Click "Alert" button (clock icon) 2. Select "Order Block Identifier" 3. Choose your alert condition 4. Configure notification method 5. Click "Create" Pro Tip: Set "Price Entering" alerts to catch trading opportunities in real-time ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💎 Pro Tips & Best Practices ✅ DO: • First touch is best - Unmitigated OBs have highest win rate (60-70%) • Wait for confirmation - Don't buy/sell just because price touched OB • Use multiple timeframes - Higher TF OBs are stronger than lower TF • Combine with structure - OB + trendline/support = high probability • Trade with the bias - More bullish OBs = favor longs • Respect mitigation - Once OB is mitigated, it's less reliable • Use proper stop loss - Always place stops beyond the OB zone • Consider session timing - OBs work best during London/NY sessions ⚠️ DON'T: • Don't blindly buy/sell at OBs - Wait for confirmation • Don't ignore mitigation - Gray blocks are much weaker • Don't trade every OB - Quality over quantity • Don't fight strong trends - OBs can be run through in strong momentum • Don't use alone - Combine with price action, support/resistance • Don't expect 100% win rate - Even best OBs fail sometimes (30-40% of time) • Don't overtrade - Wait for A+ setups with confluence 🎯 Best Timeframes By Trading Style: • Scalpers: 1min, 5min (quick OB touches) • Day Traders: 5min, 15min, 1H (balanced view) • Swing Traders: 1H, 4H, Daily (major institutional zones) • Position Traders: 4H, Daily, Weekly (strongest OBs) 🔥 Best Instruments: • Excellent: Forex major pairs (EUR/USD, GBP/USD), BTC, ETH, ES, NQ • Good: Gold, Oil, Major indices, Large-cap stocks • Moderate: Altcoins, small-cap stocks (more noise) • Avoid: Very low liquidity instruments (OBs less reliable) ⏰ Best Times To Trade OBs: • London Session (03:00-12:00 EST): Highest OB respect rate • NY Session (08:00-17:00 EST): Strong OB reactions • London-NY Overlap (08:00-12:00 EST): Best probability • Asian Session: Lower probability, wait for London ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 Advanced Order Block Concepts Order Block Flips (Polarity Change) When price breaks through an OB and closes beyond it: • Bullish OB that's broken becomes bearish (support becomes resistance) • Bearish OB that's broken becomes bullish (resistance becomes support) • Trading: Watch for retest of broken OB from opposite side Order Block Refinement When multiple OBs form at similar level: • Later OB "refines" or "replaces" the earlier one • Use the most recent OB as the active zone • Older OBs become less relevant Order Block Clusters Multiple OBs stacked close together: • Creates a "super zone" of institutional interest • Higher probability of reversal • Wider zone for entries (more room for confirmation) Fair Value Gaps + Order Blocks When OB aligns with Fair Value Gap: • Extremely high probability setup • Price is drawn to fill the gap AND test the OB • Double confluence = institutional magnet Order Block Mitigation Types • Full Mitigation: Price fully enters and closes inside OB • Partial Mitigation: Price wicks into OB but closes outside • False Mitigation: Quick touch then immediate rejection • Partial/false mitigation = OB still somewhat valid ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 Common Order Block Patterns Pattern 1: The Perfect Retest • OB forms during strong move • Price continues 100-200+ pips • Price retraces back to OB • Clean bounce with confirmation candle • Highest probability pattern Pattern 2: The Double Tap • Price tests OB, bounces weakly • Price tests same OB again • Second test produces stronger reaction • Second touch often better entry Pattern 3: The Fake-Out • Price breaks through OB • Immediately reverses back • "Stop hunt" or liquidity grab • Enter after price reclaims OB Pattern 4: The Ladder • Multiple OBs stacked like stairs • Price steps from one OB to next • Each OB provides support/resistance • Trade OB-to-OB movements Pattern 5: The Failed OB • Price crashes through OB without pause • OB completely invalidated • Often signals strong momentum • Don't fight it, trade the breakout ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 What Makes This Different? Unlike basic support/resistance indicators, Order Block Identifier: • ICT Methodology - Based on proven institutional concepts • Auto-Timeframe Optimization - Works perfectly on all timeframes • ATR-Based Detection - Adapts to each instrument's volatility • Mitigation Tracking - Knows when blocks are no longer valid • Active Block Highlighting - Shows most relevant opportunity • Smart Filtering - Only shows high-quality institutional zones • Visual Clarity - Clean, professional appearance • Real-Time Updates - Blocks update as price action develops Based On Professional Concepts: • ICT Smart Money Concepts (SMC) • Institutional order flow analysis • Market maker behavior patterns • Supply and demand zone theory ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🙏 If You Find This Helpful • ⭐ Leave your feedback • 💬 Share your experience in the comments • 🔔 Follow for updates and new tools Questions about Order Blocks? Feel free to ask in the comments. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Version History • v1.0 - Initial release with auto-timeframe detection and ATR-based strength filtering
Pine Script® indicator
by Exponential-X
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix Version: PineScript™ v6 📌 Description The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions. Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence. The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time. 🚀 Points of Innovation First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence Configurable minimum occurrence threshold filters out statistically insignificant predictions Real-time probability visualization with graphical confidence bars 🔧 Core Components Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern 🔥 Key Features Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge 🎨 Visualization Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification Customizable Table Position: Place probability display in any corner of your chart 📖 Usage Guidelines N-Gram Configuration N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data. Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior. Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability. SMC Detection Settings Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis. FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps. Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations. Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points. Display Settings Show Probability Table: Toggle the probability matrix display on/off. Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display. Show SMC Markers: Toggle on-chart pattern labels. ✅ Best Use Cases Anticipating continuation or reversal patterns after liquidity sweeps Identifying high-probability BOS/CHoCH sequences for trend trading Filtering FVG and Order Block signals based on historical follow-through rates Building confluence by comparing predicted patterns with other technical analysis Studying how SMC patterns typically sequence on specific instruments or timeframes ⚠️ Limitations Predictions are based solely on historical pattern frequency and do not account for fundamental factors Low sample counts produce unreliable probabilities—always check the Samples display Market regime changes can invalidate historical transition patterns The indicator requires sufficient historical data to build meaningful probability matrices Pattern detection uses standardized parameters that may not capture all institutional activity 💡 What Makes This Unique Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework 🔬 How It Works 1. Pattern Detection Phase Each bar is analyzed for SMC formations using configurable detection parameters A priority hierarchy assigns the most significant pattern when multiple detections occur 2. Sequence Encoding Phase Detected patterns are stored in a rolling history buffer of recent classifications The current N-gram context is encoded into a unique integer identifier 3. Matrix Construction Phase Historical pattern sequences are iterated to count transition occurrences Each context-to-next-pattern transition increments the appropriate matrix cell 4. Probability Calculation Phase Current context ID retrieves corresponding transition counts from the matrix Raw counts are converted to percentages based on total context occurrences 5. Visualization Phase Probabilities are sorted and the top N predictions are displayed in the table Chart markers identify the current detected pattern for visual reference 💡 Note: This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
Pine Script® indicator
by PhenLabs
Advanced Volume Suite (24h, Pulse, Spikes, Breakout Pressure)Advanced Volume Suite transforms raw volume into a complete market-intelligence toolkit for breakout, momentum, and liquidity-driven trading. Unlike the basic volume indicator, this tool analyzes volume in true USDT value, tracks rolling 24h exchange-style volume, measures volume strength vs historical averages, detects smart spikes, and highlights breakout pressure near support/resistance. Core Features: • USDT-based volume histogram • 24h rolling volume line • Volume Pulse (volume vs moving average) • Smart spike detection with directional filters • Breakout pressure system (breakouts + near-breakout conditions) • 3 advanced volume color modes (Simple / Body / Delta-style) • All signals and thresholds fully configurable Perfect for traders who rely on volume confirmation for breakouts, momentum entries, scalping, or detecting institutional activity.
Pine Script® indicator
by zalutskyiyuriy
2
Hemanth's Pure Z-Score IndicatorThe Pure Z-Score Indicator is a statistical tool that measures how far the current price is from its recent average in terms of standard deviations. It helps traders identify overbought, oversold, and mean-reverting conditions in the market. This indicator is fully customizable, lightweight, and easy to use. Key Features: Displays the Z-Score of the price with optional smoothing. Highlights overbought and oversold zones based on standard deviation thresholds. Highlights mean (0) level for tracking price reversion. Optional SMA or EMA smoothing to reduce noise. Background highlights visually indicate extreme zones for easier analysis. Inputs: Length – Number of bars used to calculate the Z-Score. Higher values smooth the indicator but react slower. Lower values make it more sensitive but may produce more noise. Overbought Level – Upper threshold for the Z-Score. Default: 2.0 (2 standard deviations above the mean). Crossing above this level signals a statistically overbought condition. Oversold Level – Lower threshold for the Z-Score. Default: -2.0 (2 standard deviations below the mean). Crossing below this level signals a statistically oversold condition. Use EMA instead of SMA – Determines whether the basis for Z-Score calculation is an Exponential Moving Average (EMA) or a Simple Moving Average (SMA). EMA reacts faster to recent price changes. SMA gives a smoother, slower-reacting average. Smooth Z-Score (0 = no smoothing) – Apply additional smoothing to the Z-Score using a moving average. Reduces noise and false spikes for cleaner visualization. How to Use: Overbought/Oversold: Watch for the Z-Score crossing the upper or lower levels to identify potential reversal zones. Mean Reversion: Z-Score crossing the mean (0) can indicate short-term trend shifts. Smoothing Options: Adjust the smoothing length and type to suit your trading style and timeframe. Recommended Timeframes: Works on any timeframe; suitable for day trading, swing trading, or longer-term analysis. Best used in combination with price action or other indicators for confirmation. Note: This is a pure statistical indicator based on standard deviations. It does not provide buy/sell signals by itself, but helps traders identify areas of extreme price movement and potential reversals.
Pine Script® indicator
by GHemanth04
XAU Micro ScalperThis indicator is designed for short-term price rotation detection on XAUUSD, especially on the 1-minute timeframe. It combines three momentum components—Stochastic, RSI, and OBV slope—to highlight potential reversal points and short-term scalping opportunities. Core Logic The script generates a signal only when multiple conditions align: 1. Stochastic Reversal (Timing Component) A basic long/short trigger occurs when the Stochastic oscillator exits oversold (long) or overbought (short). This represents a potential shift in short-term momentum. 2. RSI “Smart Rotation” Filter (Context Component) Instead of using fixed oversold/overbought thresholds, the indicator checks whether RSI is turning: Long: RSI is below a contextual ceiling (default 50) and rising Short: RSI is above a contextual floor (default 55) and falling This avoids premature entries during strong trending phases and confirms that momentum is actually rotating. 3. OBV Slope Filter (Volume Confirmation) The On-Balance Volume trend is compared to its previous value: Long: OBV slope improving Short: OBV slope deteriorating This helps confirm whether volume pressure is shifting in favor of the trade direction. Both RSI and OBV filters can be enabled or disabled independently via the indicator settings. Signals Small circles mark raw Stochastic reversal points (unfiltered). Green / red triangles represent validated long/short signals where all active filters agree. Optional candle coloring highlights confirmed entry signals on the chart. Use Cases Intraday and scalping strategies on XAUUSD Identifying short-term momentum reversals Filtering noisy signals during high-volatility sessions Studying how volume and momentum align around turning points Customization Users can adjust: RSI contextual thresholds Lookback periods OBV slope sensitivity Stochastic parameters Activation of RSI and OBV filters This flexibility allows the indicator to adapt to different market conditions and timeframes. Disclaimer This indicator does not provide financial advice or guarantee performance. Always test any strategy on historical data and use proper risk management.
Pine Script® indicator
by corrado_divittorio
Alphabet Long Trigger (Björn)Alphabet Trigger Dezember 2025: Kurs 267–269 € grüne Kerze mit höherem Tief Volumen-Lebenszeichen Nasdaq nicht im Abwärtsmodus Alphabet Momentum Pullback Strategy — Brief Description This strategy targets high-quality pullbacks within a confirmed uptrend and enters a long position only when price, structure, volume, and market context align. A trade is triggered when: Price enters the buy zone between €267–€269, signaling a controlled pullback. The chart forms the first green candle with a higher low, indicating buyers are returning. Volume shows a positive uptick (at least above the recent average), confirming real demand. The Nasdaq is not falling, ensuring the broader tech market is stable and not in risk-off mode. The strategy avoids entries triggered solely by price and waits for multi-factor confirmation, reducing false breakouts and momentum traps. It is designed for disciplined swing traders who prioritize trend alignment, volume confirmation, and market context before entering a position.
Pine Script® indicator
by bjoern_brocher
MTF 4h Structure + FVG (CORRECTED)This is a fully customizable Multi-Timeframe (MTF) indicator for SMC traders. It overlays true Higher Timeframe market structure onto your current chart. While it defaults to the 4-Hour (4h) structure, you can easily change this to 1h, Daily, or Weekly in the settings to suit your strategy. Key Features: 1. Dynamic MTF Overlay: Select any Higher Timeframe (HTF) in the settings. The script calculates true pivots on that timeframe and projects them onto your chart without repainting issues. 2. Active Dealing Range: Automatically displays the Swing High and Swing Low of the selected HTF. 3. Equilibrium (EQ): Marks the 50% level of the range to help you identify Premium (Sell) vs. Discount (Buy) zones. 4. HTF Fair Value Gaps (FVG): Detects and draws unmitigated FVGs from your selected timeframe, acting as high-probability POIs. Visuals & Logic: - Green/Red: Signals CHoCH (Trend Reversals). - Gray: Signals BOS (Trend Continuation) - keeping the chart clean. - Smart Calculation: Calculates structure explicitly on the HTF data to prevent false signals on lower timeframes. How to use: 1. Add to your chart (e.g., 5m or 15m). 2. Open Settings -> Select your desired "Higher Timeframe" (Default is 4h). 3. Trade in the direction of the HTF Trend (Labels) and look for entries within HTF FVGs in the correct Discount/Premium zone.
Pine Script® indicator
by CryptoWitch_NL
Session Sweep System – WarRoomXYZ V1WarRoom Session Sweep System v1 is a open-source institutional trading framework built to identify liquidity behavior across Asia, London, and New York sessions. It combines session-based liquidity mapping, sweep detection, daily expansion modeling, and trend confirmation into a unified, timing-driven system optimized for XAUUSD, FX pairs, indices, and any instrument with session-dependent volatility. This tool does not attempt to predict direction with arbitrary oscillators. Instead, it focuses on the underlying market mechanisms that drive price: liquidity, timing, expansion, and trend alignment. Below is a detailed explanation of what the script does, how its components work, and how traders can use it effectively. 🔹 1. Session Liquidity Mapping The script automatically identifies the Asia (00:00–06:00 GMT), London (07:00–12:00 GMT), and New York (13:00–17:00 GMT) sessions and builds real-time session ranges. Each session creates a liquidity pool. Trading institutions frequently sweep the high or low of one session before delivering the real move in the next session. This script captures that behavior by: ►Drawing session range boxes ►Tracking previous session highs/lows ►Highlighting high-probability sweep locations These ranges are essential reference points for timing entries and exits. 🔹 2. Liquidity Sweep Detection (Buy & Sell Sweeps) The indicator identifies when price runs a previous session high/low and rejects back inside the range, which is commonly interpreted as a liquidity sweep. The following sweep types are monitored: ►London sweeping Asia ►New York sweeping London ►Asia sweeping New York ►Daily sweep of PDH/PDL Sweeps signal that liquidity has been collected and that a potential reversal or continuation is likely. These are marked clearly on the chart for real-time decision-making. 🔹 3. Killzone Timing Model (GMT Time) Market manipulation and expansion often occur during specific time windows. The script highlights these institutional killzones: ►London Killzone: 07:00–10:00 GMT ►New York Killzone: 13:30–15:30 GMT ►NY PM Session: 19:00–21:00 GMT Sweeps occurring inside these windows carry a significantly higher probability. The timing layer helps filter out low-quality setups. 🔹 4. Daily Range & ADR Expansion Engine A dedicated panel displays: ►Current day range ►ADR (Average Daily Range) ►Expansion stage (Early / Developed / Extended) ►PDH/PDL swept or intact ►Overall session bias This allows traders to understand whether the daily move is likely to continue or reverse. For example: ►Early expansion → trend continuation likely ►Extended expansion → reversal setups become more probable This is useful for intraday targets and risk management. 🔹 5. MA Cloud Trend Model (Fast/Slow Structure) To align liquidity behavior with directional conviction, the script includes a configurable MA engine: ►Fast & slow MA ►MA cloud ►Slope-based trend coloring ►Trend background ►MA cross alerts The cloud provides trend confirmation without relying on oscillators. Trades are higher quality when the sweep direction aligns with the MA trend. 🔹 6. How the Components Work Together The script integrates several institutional concepts into one coherent model: ►Sessions define liquidity pools ►Sweeps identify stop-hunts and reversals ►Killzones define optimal timing ►MA Cloud confirms directional bias ►ADR engine indicates expansion potential This creates a structured framework: Sweep → Timing → Trend → Expansion → Execution Each component strengthens the others, forming a robust decision-making model. 🔹 7. How to Use the Indicator (Practical Guide) ✔ Look for a sweep of a previous session level When price runs a session high/low and closes back inside, liquidity has likely been collected. ✔ Confirm timing Sweeps inside London or NY killzones tend to produce the strongest moves. ✔ Confirm trend Use MA cloud direction and slope: ►Cloud green → long setups preferred ►Cloud red → short setups preferred ✔ Check ADR panel If the day has already expanded significantly, reversal setups are more likely. If expansion is still early, continuation setups are favored. ✔ Plan your trade Common targets include: ►Opposite side of session range ►ADR High/Low ►PDH/PDL Stops are typically placed beyond the sweep wick. This creates a repeatable, rule-based approach to intraday liquidity trading. 🔹 8. Why This Script Is Original This is not a mashup of existing open-source indicators. It introduces: ►A custom session-linked liquidity sweep engine ►A structured daily expansion model ►Integrated killzone timing aligned with GMT ►A unified bias panel merging sweeps, ADR, and session manipulation ►A trend confirmation layer designed around session behavior While it uses known institutional concepts, their integration, execution, and timing framework are unique, purpose-built, and not directly found in open-source scripts. 🔹 9. Suitable Markets This indicator works best on: ►XAUUSD ►Major FX pairs ►US indices ►Synthetic markets with session cycles Ideal timeframes: 1m, 5m, 15m, 30m 🔹 10. Limitations / Notes This is an analytical tool, not a buy/sell signal generator All sweeps are confirmed at candle close (non-repaint) The tool assumes GMT session windows unless chart time differs Users must practice risk management and entry triggers manually Disclaimer This script is provided for informational and educational purposes only. It does not provide financial, investment, or trading advice, and it does not guarantee profits or future performance. All decisions made based on this script are solely the responsibility of the user. This script does not execute trades, manage risk, or replace the need for trader discretion. Market behavior can change quickly, and past behavior detected by the script does not ensure similar future outcomes. Users should test the script on demo or simulation environments before applying it to live markets and must maintain full responsibility for their own risk management, position sizing, and trade execution. Trading involves risk, and losses can exceed deposits. By using this script, you acknowledge that you understand and accept all associated risks.
Pine Script® indicator
by WarroomXYZ
VAPO OsilatorThe Real Map of Buying and Selling Pressure. VAPO Advanced is fundamentally different from conventional oscillators that only measure momentum based on price. By integrating Volume and price movement (Pressure), it quantitatively maps the true buying and selling pressure in the market. How It Works and What Are Its Advantages? 1. Core Pressure Measurement Logic: The oscillator interprets high-volume price increases as strong buying pressure (+P) and high-volume price decreases as strong selling pressure (-P). Low-volume moves weaken the signal strength. Benefit: This effectively filters out misleading signals caused by "fake" price movements (manipulation or low-volume spikes). It only displays momentum shifts that are supported by volume. 2. Dynamic Signal Line and Histogram Signal Line: Provides a dynamic signal line smoothed by your choice of Moving Average type (EMA, SMA, WMA). Histogram: Shows the difference between the VAPO line and the Signal line. A zero-line crossover of the histogram is the clearest signal that pressure is shifting direction. As the Green histogram grows, Buying Pressure accelerates; as the Red histogram grows, Selling Pressure accelerates. 3. Reliable Confirmation Tool VAPO serves as an excellent confirmation tool when used alongside your primary trend indicators. For instance, when a trend indicator gives a BUY signal, VAPO crossing above the zero line (positive pressure) significantly increases the reliability of that signal. ⚠️ DISCLAIMER: THIS IS NOT FINANCIAL ADVICE. ALL INFORMATION PROVIDED IS FOR EDUCATIONAL AND ANALYTICAL PURPOSES ONLY. YASAL UYARI: BU BİR YATIRIM TAVSİYESİ DEĞİLDİR. SUNULAN TÜM BİLGİLER YALNIZCA EĞİTİM VE ANALİZ AMAÇLIDIR.
Pine Script® indicator
by OsilatorindicatorPro