BB+AO STRATto be used with AO indicator, based on forex strat -- www.forexstrategiesresources.com works on 1/3/5/15/30 candles, buy signals are best when the black 3 fast ema crosses up through the red mid bandPine Script® strategyby jmtizzle1313 1.9 K
BB+AO ALERTSto be used with AO indicator, based on forex strat -- www.forexstrategiesresources.com works on 1/3/5/15/30 candles, buy signals are best when the black 3 fast ema crosses up through the red mid bandPine Script® indicatorby jmtizzle33401
BB+AO STRATto be used with AO, based on forex strat -- www.forexstrategiesresources.com works on 1/3/5/15/30 candlesPine Script® strategyby jmtizzle11312
Liquidity Heatmap Matrix [MTF] - PhenLabs📊Liquidity Heatmap Matrix Version: PineScript™v6 📌Description The Liquidity Heatmap Matrix is a multi-timeframe liquidity detection and visualization tool built to identify where equal highs and equal lows are forming across up to five configurable timeframes. It solves a core challenge for smart money and ICT-style traders: knowing exactly where stop-loss clusters and liquidity pools are building — before price sweeps them. Rather than manually scanning multiple timeframes for double tops and bottoms, this indicator automates the entire process and presents confluence-weighted liquidity zones as a heatmap overlay directly on your chart. Levels confirmed by more timeframes glow with greater intensity, giving you an immediate sense of which zones carry the highest probability of a liquidity grab. When price sweeps through a detected level, the indicator confirms it in real time with on-chart labels, color changes, and optional alerts — turning reactive analysis into proactive trade planning. 🚀Points of Innovation ● First-of-its-kind heatmap approach that scores liquidity zones on a 1-to-5 confluence scale across independent timeframes ● Automatic merging of nearby equal levels using a percentage-based tolerance system, eliminating duplicate zone clutter ● Real-time sweep confirmation engine that detects when price pierces a level and closes back inside, validating the liquidity grab ● Dynamic zone coloring that shifts from transparent to fully opaque as more timeframes confirm the same price level ● Built-in dashboard that ranks all active levels by confluence strength and tracks bullish versus bearish sweep counts ● Comprehensive alert suite covering new equal high/low formation and sweep events for both directions 🔧Core Components ● Multi-Timeframe Pivot Engine: Runs pivot high/low detection independently on each of the five timeframes using request.security calls, then feeds results into a unified level registry ● Equal Level Comparator: Compares each new pivot against a rolling window of recent pivots using a configurable percentage tolerance to identify price levels that have been tested more than once ● Confluence Merger: When the same price level appears on multiple timeframes, the system merges them into a single zone and increments the confluence score rather than stacking overlapping boxes ● Sweep Detection Module: Monitors all active levels bar-by-bar, confirming a sweep when price breaches the zone edge and then closes back within it — filtering out false breakouts ● Heatmap Renderer: Translates each level’s confluence score into a color intensity gradient, with separate palettes for equal highs (red spectrum) and equal lows (green spectrum) ● Dashboard Table: Displays every active level in a sortable table with type, price, per-timeframe dot indicators, confluence rating, and sweep status 🔥Key Features ● Supports 5 fully independent timeframes that can be toggled on or off and set to any interval from 1 minute to Monthly ● Heatmap coloring intensity scales automatically with confluence count — single-timeframe levels appear faint while 5-TF levels are fully saturated ● Sweep labels display the direction, confluence count, confirming timeframes, and exact price of each swept level directly on the chart ● Dashboard tracks all active equal high and equal low levels sorted by confluence descending with real-time bull and bear sweep counters ● Four alert conditions cover new equal highs, new equal lows, bearish sweeps (EQH taken), and bullish sweeps (EQL taken) ● Swept zones automatically change to a distinct highlight color and freeze their right edge at the sweep bar for clear historical reference ● Old swept levels are cleaned up after 100 bars and stale unswept levels expire after 500 bars to keep the chart uncluttered ● All zone colors, widths, extension lengths, and dashboard positioning are fully customizable 🎨Visualization ● Liquidity Zone Boxes: Colored rectangles overlaid on the chart representing each equal high or equal low level — red-spectrum for EQH, green-spectrum for EQL, with opacity increasing as confluence rises ● Heatmap Intensity Gradient: Single-TF zones appear nearly transparent while 5-TF zones are fully opaque, creating a visual heat signature of where liquidity is densest ● Sweep Labels: Appear at the sweep bar with directional arrows (🔻 for EQH swept, 🔺 for EQL swept), showing confluence count, confirming timeframe list, and price ● Swept Zone Highlight: Confirmed sweeps turn the zone box to a yellow highlight color, clearly distinguishing consumed liquidity from active levels ● Dashboard Table: A compact on-chart table (repositionable to any corner) showing Type, Price, per-TF active dots (● / ○), and confluence rating for every tracked level ● Summary Footer: Bottom row of the dashboard displays total bullish sweeps, bearish sweeps, and combined sweep count 📖Usage Guidelines ● TF 1 through TF 5 Enabled — Toggle each timeframe on or off (Default: TF1 and TF2 enabled, TF3-TF5 disabled) ● TF 1 through TF 5 Interval — Set each timeframe independently (Defaults: 5m, 15m, 1H, 4H, Daily) ● Pivot Lookback Left — Number of bars to the left for pivot detection (Default: 6, Range: 1–50) ● Pivot Lookback Right — Number of bars to the right for pivot confirmation (Default: 6, Range: 1–50) ● Equal Level Tolerance (%) — Maximum percentage difference for two pivots to be considered equal (Default: 0.1%, Range: 0.01–2.0%) ● Max Pivots to Compare — Rolling window size of recent pivots checked for equal levels (Default: 5, Range: 2–10) ● Max Active Levels — Maximum number of liquidity zones tracked simultaneously (Default: 20, Range: 5–50) ● Sweep Confirm Bars — Bars to wait before confirming a sweep after price pierces a level (Default: 2, Range: 1–10) ● Show Liquidity Zones — Toggle zone box rendering on or off (Default: On) ● Show Sweep Labels — Toggle sweep confirmation labels on or off (Default: On) ● Show Dashboard — Toggle the summary dashboard table on or off (Default: On) ● Zone Width (%) — Percentage-based half-width of each liquidity zone box (Default: 0.05%, Range: 0.01–1.0%) ● Zone Extend (bars) — How far forward active zone boxes extend on the chart (Default: 50, Range: 10–200) ● Dashboard Position — Corner placement of the dashboard table (Options: Top Right, Bottom Right, Top Left, Bottom Left) ● EQH Colors — Customizable color range from 1-TF to 5-TF confluence for equal high zones (Default: Red spectrum with varying transparency) ● EQL Colors — Customizable color range from 1-TF to 5-TF confluence for equal low zones (Default: Green spectrum with varying transparency) ● Swept Zone Color — Highlight color for levels that have been confirmed swept (Default: Yellow at 30% transparency) ✅Best Use Cases ● Identifying high-probability reversal zones where liquidity has clustered across multiple timeframes before entering a mean-reversion trade ● Pre-planning take-profit targets by locating where dense liquidity pools sit above or below current price ● Filtering breakout trades by checking whether price is approaching a high-confluence liquidity zone likely to cause a sweep and reversal ● Confirming ICT and smart money concepts by visualizing where equal highs and equal lows form as institutional liquidity targets ● Setting up sweep-based alerts to get notified the moment a multi-TF liquidity level gets taken, enabling rapid reaction entries ● Using the dashboard as a real-time liquidity scoreboard during active trading sessions to track which levels remain live and which have been consumed ⚠️Limitations ● Pivot detection requires a right-side lookback, so level identification has an inherent delay equal to the Pivot Lookback Right setting ● Very low tolerance values on volatile assets may produce few matches, while very high values may create false confluences — tuning to the asset’s typical spread is recommended ● The indicator tracks up to the Max Active Levels limit, so on extremely active charts some older unswept levels may be pruned before they are reached ● Multi-timeframe security calls can increase chart loading time, especially when all five timeframes are enabled on lower-timeframe charts ● Sweep detection relies on close price returning inside the zone — wicks that pierce and immediately reverse on the same bar without closing inside may not be captured ● This tool identifies liquidity zones and sweeps but does not generate buy or sell signals — it is designed to complement your existing strategy, not replace it 💡What Makes This Unique ● Confluence-weighted heatmap visualization is a fundamentally different approach to liquidity mapping compared to simple equal-high/low markers, providing probabilistic weight to each level ● The automatic cross-timeframe merging system eliminates zone stacking and clutter that plagues most multi-timeframe indicators ● Real-time sweep confirmation with multi-bar validation filters out noise and false breakouts that single-bar detection methods frequently flag ● The integrated dashboard provides a full-spectrum situational awareness panel without needing to switch between timeframes or use multiple indicators 🔬How It Works ● Step 1 — Pivot Detection: On each enabled timeframe, the script independently identifies pivot highs and pivot lows using a configurable left/right lookback window via ta.pivothigh and ta.pivotlow functions ● Step 2 — Equal Level Matching: Each new pivot is compared against a rolling buffer of recent pivots on the same timeframe; if two pivots fall within the percentage tolerance, an equal high or equal low is flagged ● Step 3 — Cross-Timeframe Registration and Merging: Detected equal levels are registered into a central level array; if a level from one timeframe falls near an existing level, it merges by incrementing the confluence score rather than creating a duplicate ● Step 4 — Heatmap Rendering: Each active level is drawn as a zone box with color intensity mapped to its confluence score using a 5-tier gradient — more confirming timeframes produce more visually prominent zones ● Step 5 — Sweep Monitoring: Every bar, the script checks whether price has breached a zone edge and closed back inside, confirming a liquidity sweep; confirmed sweeps update the zone color, freeze the box, and generate labels and alerts ● Step 6 — Lifecycle Management: Swept levels are retained for 100 bars for historical reference then removed; unswept levels older than 500 bars are pruned to maintain chart performance and visual clarity 💡Note: For best results, start with the default settings and adjust tolerance and pivot lookback values to match the volatility profile of your specific asset. Lower timeframe combinations (e.g., 5m + 15m) are ideal for intraday scalping, while higher timeframe setups (e.g., 1H + 4H + Daily) suit swing trading. This indicator is designed as a confluence tool — combine it with your existing strategy, order flow analysis, or market structure methodology for highest-probability trade setups. It does not produce buy or sell signals on its own. Pine Script® indicatorby PhenLabs78
Grid Bot Demonstrator🚀 Grid Bot Demonstrator Overview The Grid Bot Demonstrator is a high-performance visualization tool designed for traders utilizing Grid Trading strategies (similar to Pionex, Binance, or KuCoin). It allows you to simulate and visualize a grid bot's structure directly on your chart, enabling precise planning of ranges and grid density before deploying capital. 🛠 Key Features Dynamic Auto-Range: When limits are set to 0, the indicator automatically calculates an optimal range (±10% from current price) rounded to the nearest $10,000—ideal for Bitcoin’s psychological levels. Dual Mode Support: Seamlessly toggle between Long and Short strategies via a simple dropdown menu. Intelligent Grid Coloring: Long Mode: Green lines above price (Take Profit), Red lines below (Buy/Support). Short Mode: Red lines above price (Entry/Stop), Green lines below (Take Profit). Performance Optimized (Smart Window): Even with up to 500 grids , the chart remains fluid. The script renders only the 100 lines closest to the current price while maintaining perfect mathematical accuracy of the total grid count. Boundary Protection: Features bold, distinct safety lines for the Upper and Lower limits so you know exactly when your bot leaves the active trading zone. 📖 How to Use 1. Grid Settings Enter your Upper and Lower price limits. Use "0" for the automated 10k-rounding logic. 2. Grid Count Set the number of grids (up to 500) to match your bot's specific configuration. 3. Strategy Mode Select "Long" or "Short" to instantly adapt the color coding to your trade direction. 4. Scalability Works across all timeframes, from 1-minute scalping to daily charts. 🔬 Technical Specifications Grid Type: Arithmetic (Equal USD distance between levels). Engine: Pine Script V5 with max_lines_count optimization. Clarity: Focuses on visual price levels to provide a clean, distraction-free trading environment.Pine Script® indicatorby AlexTrading2022Updated 5
StO Price Action - OrderblockShort Summary - Displays bullish and bearish Order Blocks on the chart - Highlights active, mitigated, and tapped Order Blocks - Designed for structure- and price-action-based trading Full Description Overview Identifies Order Blocks using pivot-based market structure Bullish Order Blocks originate from down candles before impulsive moves up Bearish Order Blocks originate from up candles before impulsive moves down Order Blocks are visualized as price zones with optional fill and borders Mitigated Order Blocks can be kept visible as historical context Consequent Encroachment (CE) line marks the 50% level of the block Handling Multi-timeframe capable Order Block detection Clear visual distinction between bullish and bearish zones Optional highlighting when price taps an Order Block Supports clean chart layouts with customizable colors and styles Designed to work with discretionary and systematic approaches Usage Select the timeframe used for Order Block detection Adjust pivot lookback to control sensitivity Enable or disable historical (mitigated) Order Blocks Use highlight-on-touch to spot active interactions Apply filters such as minimum body size, ATR displacement or EMA trend Notes Order Blocks do not predict direction, they mark areas of interest Once detected, Order Blocks remain static and do not repaint Higher pivot lengths produce fewer but stronger Order Blocks ATR and body-percentage filters reduce noise in ranging markets Best combined with market structure, liquidity or entry confirmation toolsPine Script® indicatorby sto_svc22
StO Price Action - Buy | Sell Side LiquidityShort Summary - Visualizes Buy-Side and Sell-Side Liquidity levels - Highlights resting liquidity above highs and below lows - Designed for price-action and liquidity-based trading Full Description Overview - Detects liquidity pools using pivot-based price structure - Buy-Side Liquidity (BSL) forms above relative highs - Sell-Side Liquidity (SSL) forms below relative lows - Liquidity levels represent areas where stop orders are likely resting - Levels are extended forward to visualize potential draw-on-liquidity zones - Optional historical liquidity tracking for contextual analysis Handling - Focuses on price-driven liquidity rather than indicators - Supports BSL only, SSL only or combined visualization - Uses configurable pivot lookback to define significant swings - Distinguishes active liquidity from historical liquidity - Clean, minimal chart overlay with customizable styles Usage - Select which liquidity side to display (BSL, SSL or both) - Adjust pivot lookback to control sensitivity - Configure line length and extension behavior - Enable history mode to keep older liquidity levels visible - Use liquidity levels as targets, reaction zones or confluence areas Notes - Liquidity levels do not predict direction, only attraction - Once plotted, levels remain static and do not repaint - Higher lookback values produce fewer but stronger levels - Best combined with market structure, entries, or rejection logic - Particularly effective around session highs and lowsPine Script® indicatorby sto_svc8
Relevant Order Blocks Detector (BOS + Displacement)This indicator is designed to identify only the most relevant Order Blocks, filtering out market noise and low-quality zones. It detects Order Blocks based on real Break of Structure (BOS) combined with strong displacement, ensuring that each marked zone represents institutional activity rather than random price movement. A Bullish Order Block is formed when the last bearish candle before a strong bullish impulse breaks the previous structure high. A Bearish Order Block is formed when the last bullish candle before a strong bearish impulse breaks the previous structure low. Only Order Blocks that meet strict strength and structure conditions are displayed, making the indicator ideal for scalping, intraday trading, and CRT-based strategies. Key Features: Break of Structure (BOS) confirmation Strong impulse (displacement) filter Noise reduction (high-quality OBs only) Clean and minimal chart visualization Suitable for 5m, 15m, and 1H timeframes This tool is best used in confluence with liquidity sweeps, FVGs, and session timing rather than as a standalone signal.Pine Script® indicatorby pedrolinarejos9721
MTF+ QuantMTF+ Quant - User Guide 📊 Overview MTF+ Quant Enhanced is a professional-grade technical indicator that combines correlation analysis with advanced market microstructure metrics. It's designed for traders who want institutional-level insights into trend strength, market regime, and order flow dynamics. 🎯 What It Measures Core Components Three Correlation Lines (Fast/Medium/Slow) Measures statistical correlation between price and time Values range from -1.0 to +1.0 Positive values = Uptrend (price rising over time) Negative values = Downtrend (price falling over time) Near zero = No clear trend / choppy market Microstructure Indicators Volume Profile (purple circles): Price deviation from volume-weighted average Order Flow Imbalance (orange stepped line): Buy vs sell pressure Autocorrelation: Measures momentum persistence Amplitude Overlay (blue line) Volume-weighted momentum indicator Shows price acceleration/deceleration Leads the correlation lines Regime Detection (background color) Green background: Low volatility regime (trending favorable) Red background: High volatility regime (caution) No color: Normal volatility Metrics Table (top right) Real-time quantitative measurements Order Flow, Vol Profile, Autocorrelation values Hurst Exponent (if enabled) Current volatility regime 📈 How to Read the Indicator Signal Zones +0.8 ═══════ EXTREME ZONE (overbought/exhaustion risk) +0.4 ─────── STRONG UPTREND ZONE +0.2 ······· SOFT UPTREND ZONE 0.0 ═══════ NEUTRAL (trend transition) -0.2 ······· SOFT DOWNTREND ZONE -0.4 ─────── STRONG DOWNTREND ZONE -0.8 ═══════ EXTREME ZONE (oversold/exhaustion risk) Line Interpretation Fast Line (tan/beige): Short-term trend (12 bars) Medium Line (cyan): Intermediate trend (24 bars) Slow Line (white): Long-term trend (36 bars) 🚀 Trading Strategies 1. Trend Following (Recommended) Entry Signals: ✅ All three lines above +0.2 and rising = Strong uptrend ✅ Fast crosses above Medium with both above zero = Buy signal ✅ Order Flow > 0.2 confirms buying pressure Exit Signals: 🛑 Fast line reaches +0.8 (extreme zone) = Take profits 🛑 Fast crosses below Medium = Exit longs 🛑 Order Flow turns negative while Fast > +0.6 = Divergence warning Example Trade: Setup: Fast (0.35) > Medium (0.28) > Slow (0.15) Order Flow: +0.25 Vol Profile: +0.18 Action: Enter long, target Fast = 0.7, stop below 0.0 2. Mean Reversion (Counter-Trend) Entry Signals: ✅ Fast > +0.8 with Order Flow < 0 = Exhaustion, short opportunity ✅ Fast < -0.8 with Order Flow > 0 = Capitulation, long opportunity ✅ Hurst Exponent < 0.45 confirms mean-reverting market Exit Signals: 🛑 Fast returns to zero line 🛑 Order Flow aligns with direction (divergence resolved) Example Trade: Setup: Fast = +0.85, Order Flow = -0.15 Autocorr: -0.3 (mean reversion mode) Action: Short, target Fast = +0.2, tight stop 3. Regime-Based Trading High Volatility Regime (red background): Reduce position size 50% Widen stops Avoid breakout trades Focus on support/resistance Low Volatility Regime (green background): Standard position sizing Trend following works best Breakouts more reliable Normal Regime (no color): Standard strategies apply 🔧 Configuration Guide For Day Trading (scalping/intraday) Fast: 8 Medium: 16 Slow: 24 Order Flow Window: 5 Vol Profile Window: 10 For Swing Trading (default - recommended) Fast: 12 Medium: 24 Slow: 36 Order Flow Window: 10 Vol Profile Window: 20 For Position Trading (long-term) Fast: 24 Medium: 50 Slow: 100 Order Flow Window: 20 Vol Profile Window: 50 📊 Advanced Features Hurst Exponent (Enable in settings) H > 0.55: Market is trending - use trend following H = 0.45-0.55: Random walk - be cautious H < 0.45: Mean reverting - use counter-trend strategies Z-Score Normalization When enabled, correlations are standardized across time periods. This helps identify truly extreme conditions vs normal volatility. ⚠️ Important Warnings Extreme zones (±0.8) are NOT automatic reversal signals Markets can stay extreme for extended periods Always confirm with Order Flow divergence Use multiple timeframes Check higher timeframe (4H/Daily) for major trend Use this indicator on your trading timeframe Volume matters Low volume signals are less reliable Order Flow needs volume to be meaningful Not a standalone system Combine with support/resistance Use proper risk management Consider market context (news, events) 🎓 Practical Examples Example 1: Perfect Bull Setup Fast: +0.45 (rising) Medium: +0.35 (rising) Slow: +0.22 (rising) Order Flow: +0.30 Vol Profile: +0.15 Amplitude: Rising Background: Green (low vol) Interpretation: Strong confirmed uptrend Action: Hold longs, add on pullbacks to +0.3 Example 2: Exhaustion Warning Fast: +0.82 (flattening) Medium: +0.65 (still rising) Slow: +0.48 (rising) Order Flow: -0.10 (negative!) Amplitude: Declining Interpretation: Buyers exhausted despite high correlation Action: Take profits, prepare for reversal Example 3: Choppy Market Fast: +0.15 → -0.10 → +0.05 (oscillating) Medium: -0.05 (near zero) Slow: +0.08 (near zero) Autocorr: -0.25 (mean reverting) Background: Red (high vol) Interpretation: No clear trend, range-bound Action: Avoid trend trades, wait for clarityPine Script® indicatorby ONLYORDERFLOW10
Trinity VIX DashboardTrinity VIX Dashboard Indicator – Quick TradingView Guide **Purpose** This lightweight indicator displays the current **VIX value** + its short-term trend (based on the last 3 candles) directly on your chart. It’s especially useful for options traders on 3–10 minute charts who want a fast visual check of volatility mood without switching symbols. **What it shows** - **VIX** label - Current VIX value (with customizable background color) - Trend direction of the last 3 candles: - **Up ↑** (red by default) - **Down ↓** (green by default) - **Sideways ↔** (gray by default) **Color logic for the VIX value** - Below **Low Threshold** → green background (default 18) - Above **High Threshold** → red background (default 19) - Between the two thresholds → yellow background (neutral zone) **How to add and use it** 1. Open TradingView → Pine Editor 2. Paste the full script (the latest version I provided) 3. Click “Add to Chart” **Customize in Settings (Inputs tab)** - **Table Position** Choose where the panel appears: Top Left, Top Right, Top Middle, Bottom Right, Bottom Middle, etc. (Bottom Right is default) - **Text Size** Tiny / Small / Normal / Large (Normal is default) - **VIX Low Threshold** (default 18.0) Anything below this level gets the “low” color (usually green) - **VIX High Threshold** (default 19.0) Anything above this level gets the “high” color (usually red) - **Background Colors** - VIX < Low Threshold (green) - VIX > High Threshold (red) - Between thresholds (yellow) - **Trend Colors** - Up trend - Down trend - Sideways **Practical usage tips for options trading (3–10 min charts)** - **Low VIX (< your low threshold)** → calm market → expect smaller moves, tighter option premiums, good for selling premium or calls (long calls, credit spreads, iron condors) - **High VIX (> your high threshold)** → fear / volatility spike → wider ranges, more expensive options, good for buying premium (long puts, debit spreads) or scalping volatility - **Middle zone** → neutral / uncertain → avoid aggressive directional trades or wait for breakout - Watch the **trend arrow**: - Down arrow (green) → volatility contracting → potential mean-reversion or calm continuation - Up arrow (red) → volatility expanding → possible panic or big move coming **Best chart setup** Works best on SPX, SPY, QQQ, or any major index where VIX data is reliable. Use on lower timeframes (3–15 min) for intraday options decisions. **Limitations** - No resizing or dragging (Pine Script limitation) — only move via position input - Shows only last 3 candles trend (simple but fast) - Requires TVC:VIX data access on your chart That’s it — a minimal, focused VIX snapshot you can glance at while trading options. Adjust thresholds to match your strategy (e.g. 15/20, 17/25, 12/30 are popular alternatives). Pine Script® indicatorby EMA34TRADERUpdated 20
GreenPen 1.2GreenPen MTF Confirmation Multi-timeframe price action indicator for M1 scalping (XAUUSD) How It Works Draws a range box based on 7AM (GMT+7) candle open ± offset Detects Bullish/Bearish Engulfing with wick rejection at range edges Optional Higher TF trend filter (EMA on H2/H4) Optional M5 confirmation — requires both M1 and M5 PA to align Signals 🟢🔴 Circle — Raw Engulf + Wick (unfiltered, for reference) 🔺 B / S Triangle — Filtered entry at range edge 🚀 Rocket — MTF BUY Confirmed (M1 + M5 bullish PA aligned) 🔨 Hammer — MTF SELL Confirmed (M1 + M5 bearish PA aligned) SL / TP SL placed beyond range edge + ATR buffer TP calculated using Risk:Reward ratio (default 1:2) Settings Range offset — distance from 7AM open to draw upper/lower box Edge zone % — how much of the range counts as "edge" for entries Trend filter — toggle higher TF EMA trend filter on/off MTF confirm — toggle M5 confirmation on/off Lookback — how many M1 bars to check for M5 PA alignment Recommended Timeframe: M1 Symbol: XAUUSD Trend TF: H2 or H4Pine Script® indicatorby anusorn_panya2
[ARTIO] Ultimate Initial Balance (EU & US) - Real-Time & Clean🚀 Professional Initial Balance for DAX & Nasdaq Scalping This is the ultimate Initial Balance (IB) tool designed for serious day traders. It solves the biggest issues of standard indicators: the "Blind Hour" (when the box appears only after the close) and "Chart Clutter" (too many old lines). Key Features: ⚡ Real-Time Drawing: No blind spots. The IB Box, High/Low lines, and Targets appear from the very first minute of the session and update dynamically with every tick. 🧹 Clean Chart Technology: A unique "Garbage Collector" feature. You can keep historical colored boxes for structure analysis, but the script automatically deletes old lines (High/Low/Targets) from previous days. Your chart stays clean. 🌍 Dual Session Support: Monitor Europe (DAX, 09:00 Berlin) and USA (Nasdaq, 09:30 NY) simultaneously on one chart. Hardcoded exchange timezones ensure accuracy regardless of your local time. 🎯 Pro Levels & Targets: - Midline (50%): The "Fair Value" of the opening range. - Extensions (1.5x & 2.0x): Automatic take-profit levels based on range expansion. - Range Info: Displays the IB width in points (essential for volatility filtering). Settings: Toggle "Today's Lines" and "History Lines" independently. Adjust History Depth (how many days of lines to keep). Fully customizable colors and session times. Developed by for precision trading. __________________________________________________ 🚀 Профессиональный Initial Balance для скальпинга DAX и Nasdaq Это самый продвинутый индикатор Initial Balance (IB) для дейтрейдеров. Он решает главную проблему стандартных скриптов: "Слепой Час" (когда коробка рисуется только после закрытия) и "Мусор на графике" (когда старые линии мешают обзору). Главные фишки: ⚡ Real-Time Отрисовка: Вы видите коробку с первой минуты торгов. Линии High/Low и Цели двигаются за ценой в реальном времени. Никаких задержек. 🧹 Clean Chart (Умная очистка): Уникальная функция. Вы можете оставить цветные боксы истории за месяц, но линии уровней (High/Low/Targets) будут автоматически удаляться за прошлые дни. Ваш график всегда чист. 🌍 Dual Session: Одновременная работа с Европой (DAX, 09:00 Berlin) и США (Nasdaq, 09:30 NY). Жесткая привязка к часовым поясам бирж — работает корректно из любой страны. 🎯 Профессиональные уровни: - Midline (50%): Справедливая цена дня. Работает как магнит. - Targets (1.5x и 2.0x): Автоматические цели для фиксации прибыли при пробое. - Info Label: Показывает ширину диапазона в пунктах (для фильтрации волатильности). Настройки: Вкл/Выкл линий Сегодня и Истории отдельно. Настройка глубины истории (сколько дней хранить линии). Полная кастомизация цветов и времени сессий. Разработано для профессиональной торговли.Pine Script® indicatorby syntheticcryptotrading2
VSA with Absorption Proxy for Holmes and Bookmap StyleVSA + Absorption Proxy – Holmes / Bookmap Style (No Delta Data Required) This open-source strategy is a simplified, VSA (Volume Spread Analysis) inspired scalper that approximates **absorption** and **rejection** patterns commonly observed in professional order-flow tools (Bookmap, Holmes, Jigsaw, etc.) — using only standard OHLCV data. Core Concept & Why This Proxy? In VSA and order-flow trading, **absorption** occurs when aggressive selling is met with strong buying support (high volume + wide spread + reversal up), often signaling exhaustion of sellers and potential reversal/continuation up. **Rejection** is the mirror: aggressive buying met with strong selling (high volume + wide spread + reversal down). Because true bid/ask delta is not available in standard Pine Script, this script uses a directional volume proxy: - delta ≈ volume × (close - open) / (high - low) - Combined with wide spread (vs ATR) + high volume (vs SMA) + delta flip This creates a reasonable proxy for spotting climactic volume bars where one side gets absorbed/rejected. Entry & Exit Logic Long (Absorption Bull): - High volume bar (volume > SMA(volume,20) × multiplier) - Wide spread (range > ATR(14) × multiplier) - Bullish candle (close > open) - Delta turns positive after being negative previous bar Short (Rejection Bear): mirror logic (bearish candle + delta turns negative) Risk Management (fixed %): - Stop Loss: entry low/high adjusted by riskPct (default 1%) - Take Profit: risk × rrTarget (default 3.5:1) Visuals - Green background + triangle below bar → Absorption Bull signal - Red background + triangle above bar → Rejection Bear signal Important Realism & Backtesting Guidelines To avoid misleading results, publish/test with: - Initial Capital: $10,000 – $50,000 (realistic retail/futures account) - Position sizing: 1–3% equity per trade (adjust via strategy properties) - Commission: $4–$10 round-turn per contract (futures) or 0.03–0.05% (forex/stocks) - Slippage: 1–4 ticks (futures) or 0.5–2 pips (forex) — higher during news - Dataset: ≥12–36 months on chosen timeframe (aim for 400–1000+ trades) - Risk per trade: 0.5–2% max — never exceed sustainable levels Expectations: - Works best on high-volume instruments (NQ, ES, GC, BTC, major forex) during active sessions - Fewer signals in low-volatility/choppy periods - Drawdowns common during strong trends — this is a counter-trend / absorption catcher, not trend-following - News events (FOMC, NFP, earnings) can cause false signals — avoid or widen stops How to Use 1. Apply to high-liquidity symbols (NQ1!, ES1!, GC1!, BTCUSD, EURUSD, XAUUSD) 2. Timeframes: 3m–15m for scalping, 30m–1h for swing context 3. Trade during high-volume sessions (London/NY overlap for forex, US open for futures) 4. Look for confluence: - Absorption + nearby support / demand zone → stronger long - Rejection + nearby resistance / supply zone → stronger short 5. Forward-test on demo extensively — absorption setups are high-conviction but low-frequency 6. Always use proper position sizing — never risk more than 1–2% per trade Publish Recommendation - Use a clean chart: only this strategy, no extra indicators/drawings - Show realistic Strategy Tester results with commission/slippage applied - Screenshot during active session with visible absorption/rejection signal + background tint Educational tool — open-source for learning VSA/order-flow concepts. This is a proxy approximation — not true delta/order-flow. Trading involves substantial risk of loss. Test thoroughly and trade responsibly. Feedback welcome — especially parameter tuning ideas for different instruments!Pine Script® strategyby uzair2join3
Apex / ChartFanatics Bubbles + Clusters + SweepsApex / ChartFanatics Bubbles + Clusters + Sweeps This open-source indicator combines four visual elements — Volume Bubbles, Volume Clusters, Liquidity Sweep Markers, and Dynamic Supply/Demand Zones — into a single overlay tool. The goal is to provide traders with a unified view of volume intensity, aggressive price action, and key institutional reference levels on any timeframe or instrument. Why this combination? Many volume and structure tools exist separately, but combining them creates synergy: - Volume Bubbles highlight relative volume strength instantly (quick glance at participation level). - Volume Clusters emphasize high-volume bars as potential support/resistance areas. - Liquidity Sweep markers flag classic "fakeout" or stop-hunt behavior (aggressive wicks that fail to sustain). - Supply/Demand zones provide context for where price is likely to react after sweeps or clusters form. Together, these elements help traders spot: - Areas of high institutional interest (clusters + zones) - Potential reversals after liquidity grabs (sweeps + zones) - Confirmation of momentum via volume size and candle direction (bubbles + clusters) This mashup is not random — it follows a logical Smart-Money / Order-Flow inspired workflow: detect volume → identify aggressive liquidity raids → map reaction zones → visualize everything for fast decision-making. Core Features & How They Work 1. Volume Bubbles (Quantile-Based) - Volume is ranked against a rolling lookback (default 200 bars). - Dynamic quantiles divide the volume range into buckets (default 10 levels). - Bubble size scales with quantile rank (tiny → huge). - Color: bright green (bullish close) or bright red (bearish close), with adjustable opacity. - Only shown when volume exceeds 1.2× the lookback minimum (avoids noise). - Tooltip shows exact volume, delta (close-open), and quantile position. 2. Volume Clusters - Draws semi-transparent boxes around bars exceeding a user-defined minimum volume. - Width adjustable (default 4 bars forward) to highlight clusters visually. - Same bullish/bearish coloring as bubbles for consistency. 3. Liquidity Sweeps - Detects classic sweep patterns on the previous bar: → Bullish sweep: high > previous high, but close < previous high AND bearish candle → Bearish sweep: low < previous low, but close > previous low AND bullish candle - Marked with a bright yellow star (★) label + tooltip. - Useful for identifying potential stop hunts or failed breakouts. 4. Supply & Demand Zones - Uses pivot high/low (default lookback 20 left/right) to detect swing points. - Supply zone: from pivot high downward by 2× ATR(14). - Demand zone: from pivot low upward by 2× ATR(14). - Zones extend rightward dynamically (up to +30 bars) and remain visible until new pivots form. - Brownish for supply (resistance), greenish for demand (support). Inputs & Customization - Bubble Quantiles (3–15): more levels = finer volume grading - Bubble Opacity: controls transparency - Volume Lookback: historical window for quantile calculation - Cluster settings: toggle, min volume, width - Sweeps & Zones: individual toggles - Zone Pivot Lookback: sensitivity of swing detection How to Use - Best on lower timeframes (1m–15m) for scalping/day trading or higher (1h–4h) for swing setups. - Look for confluence: → Large green bubble + cluster + demand zone + bullish sweep = strong support area → Large red bubble + cluster + supply zone + bearish sweep = strong resistance area - Use sweeps as early warning of potential reversal when price approaches a zone. - Combine with your own price action or structure analysis — this is a visual aid, not a signal generator. - Keep chart clean: toggle off unused features if cluttered. Publishing Notes - Publish with a clean chart (only this indicator active, no other overlays/drawings). - Recommended symbols: volatile instruments (forex majors, indices, crypto, gold). - Max labels/boxes set high (500) to handle long histories — reduce if performance issues occur. This script is fully open-source for transparency and learning. It is provided for educational purposes — no guarantees of profitability. Trading involves risk. Feedback welcome — happy charting!Pine Script® indicatorby uzair2join24
Silver Bullet: ATR Sniper & Volatility EngineProfessional Execution & Risk Manager for SIL Strike with Precision in the World's Most Volatile Metal Silver is known as "The Devil's Metal" for a reason—it hunts stops and moves faster than almost any other commodity. Silver Bullet V26 is not just an indicator; it is a complete trade management system built to survive and thrive in high-volatility environments. By combining Liquidity Sweep detection with ATR-calculated risk, this script identifies high-probability "Sniper" entries and manages the trade until the target is hit. Key Features Dual-Mode Entry Engine: Sniper Mode: Detects "Deep Sweeps"—when Silver wicks below support to grab liquidity before a massive reversal. Trend Mode: Identifies momentum breakouts when Silver is riding the EMA with strength. Institutional Trend Filtering: A built-in 30-minute EMA filter ensures you are never "swimming against the tide." It only looks for long setups when the higher timeframe bias is confirmed bullish. Silver-Optimized ATR Stops: Standard stop losses get hunted. Silver Bullet uses Average True Range (ATR) multipliers to set "breathable" stop losses that account for Silver's natural volatility. Automated Trade Management: Once a signal triggers, the script draws your Stop Loss (SL) and Take Profit (TP) levels directly on the chart. It tracks the trade in real-time and labels the exact moment of exit (SIL TP ✔ or SIL EXIT ✘). Volatility Dashboard: A real-time HUD tracks current ATR values and Trend Filter status, giving you a "pre-flight" check before every candle close. Anti-Signal Spam: Built-in "Cooldown" logic prevents multiple entries on the same move, keeping your overtrading habits in check. Why This Is Different Most indicators fail on Silver because they are too "stiff." Silver Bullet is adaptive. By using the ta.lowest lookback for sweeps and ta.atr for exits, it breathes with the market. It treats Silver like the wild horse it is, giving it room to move while still locking in a 2.5:1 Reward-to-Risk ratio. Best Used For: Asset: Silver (/SIL, XAGUSD, PSLV). Timeframe: 5-Minute or 15-Minute. Style: Aggressive Scalping and Day-Swing Trading.Pine Script® indicatorby chyg882317
Silver Strike: Elite Trap Hunter & Trend Guardian"The H1/M5 Liquidity Engine" Master the Silver Markets with Precision Trap Detection Trading Silver on the 5-minute timeframe requires more than just moving averages; it requires an understanding of Liquidity Traps and Session Structure. Silver Strike is an institutional-grade indicator designed to identify "Sweeps"—false breakouts of the previous hour’s highs and lows—giving you the edge to trade reversals where others get stopped out. Key Features H1 Structure Mapping: Automatically tracks the high, low, and midpoint of the previous hour. On a 5m chart, these are the "battleground" levels where institutional liquidity rests. The "Sweep" Engine: Real-time visual alerts (⚔️ SWEEP) when price pierces an H1 level and immediately closes back within range. This is a classic "trap" signal for high-probability reversals. Dual-Layer Trend Guard: Includes a built-in HUD (Heads-Up Display) that tracks the 4H Macro Trend and 1H Session Trend using EMA filters. It instantly tells you if a Long or Short is "SAFE" or "RISKY" based on higher timeframe alignment. Smart Noise Filter: Custom candle coloring logic that "grays out" indecisive price action, highlighting only the bars that matter for your bias. Integrated VWAP: Built-in VWAP tracking to ensure you are never trading "too far from the mean" during intraday sessions. Why This Works Silver is notorious for "stop hunts." By focusing on the Hourly High/Low as the primary trap zone, this script filters out the 5-minute noise and focuses on where the "smart money" is actually moving. Best Used For: Asset: Silver (XAGUSD / XAG), Gold (XAU), or volatile Indices. Timeframe: 5-Minute Chart (Primary) with 1-Hour Structure. Style: Scalping, Day Trading, and Mean Reversion. Pine Script® indicatorby chyg882355
15 Consecutive Heikin Ashi Candles AlertThis indicator detects 15 consecutive Heikin Ashi candles in the same direction (bullish or bearish) and alerts you the moment the 15th candle closes. Key Features: Accurate Heikin Ashi detection using ticker.heikinashi (works on any chart type) Configurable streak length (default 15) and Heikin Ashi timeframe (default 3 minutes) Triggers alerts only once when the streak reaches exactly 15 (no spam on longer streaks) Live visual streak counter (histogram) — green for bullish, red for bearish Optional overlay of clean Heikin Ashi candles on your chart Real-time table showing current streak direction and count Background flash + large on-chart labels when the 15-candle streak is confirmed Clean, lightweight code with zero repainting Best Use: Ideal on 3-minute charts for scalping or momentum trading Great for catching strong trends early in crypto, forex, or stocks Set alerts for "15 Bullish HA Candles" or "15 Bearish HA Candles" Settings: Streak Length → Change alert threshold Overlay Heikin Ashi Candles → Toggle HA display Heikin Ashi Timeframe → Use "3" for 3-minute HA dataPine Script® indicatorby Trend_Informer1
Volume Delta Bubble + Absorption📊 Overview A sophisticated volume analysis tool that identifies unusual buying/selling pressure and detects absorption patterns in real-time. This indicator combines statistical volume analysis with smart price action detection to reveal hidden market dynamics. 🔍 Key Features 1. Unusual Volume Detection Statistical Z-Score Analysis: Flags statistically significant volume spikes using adaptive thresholds Dual Detection Modes: Choose between adaptive (Z-Score) or fixed volume threshold methods Volume Delta Calculation: Compares buying vs selling volume based on price movement 2. Smart Absorption Detection 🎯 Directional Absorption: Identifies WHO is absorbing whom: B-ABS: Bullish Absorption (Buyers absorbing selling pressure) S-ABS: Bearish Absorption (Sellers absorbing buying pressure) Context-Aware Logic: Uses price rejection/support levels to determine absorption direction Streak Tracking: Monitors consecutive absorption bars for stronger signals 3. Visual Features 🎨 Color-Coded Bubbles: Green: Bullish volume Red: Bearish volume Light Green: Bullish absorption Light Red: Bearish absorption Smart Placement: Automatically avoids label overlapping Multiple Styles: Choose between circle or box label styles Background Highlighting: Absorbing bars are highlighted for quick identification 4. Information Display 📈 Real-time Stats: Volume, Z-Score, and percentage above average Info Table: Shows absorption trend, current Z-Score, and average volume Detailed Tooltips: Hover over bubbles for comprehensive information Absorption Markers: Small triangles indicate absorption bars ⚙️ How It Works Volume Delta Calculation The indicator calculates the net difference between buying and selling volume: Volume Delta Mode: Uses lower timeframe close vs open Candle Delta Mode: Uses current timeframe close vs open Neutral Handling: Accounts for doji candles with partial attribution Absorption Logic Detects when high volume fails to move price significantly: Small Body Check: Candle body < 60% of average (configurable) High Volume: Volume > 1.5x average (configurable) Direction Detection: Bullish Absorption: High selling volume but price holds above previous low Bearish Absorption: High buying volume but price rejects below previous high Statistical Analysis Z-Score Calculation: (Current Volume - Average Volume) / Standard Deviation Adaptive Thresholding: Default Z-Score ≥ 2.0 (2 standard deviations) Historical Comparison: Uses configurable lookback period (default: 60 bars) 🛠️ Customization Options Detection Settings Calculation Source: Volume Delta or Candle Delta Lower Timeframe: Analyze volume from faster timeframes Detection Mode: Adaptive (Z-Score) or Fixed volume threshold Lookback Period: 10-200 bars for statistical calculations Visual Settings Bubble Opacity: 0-100% transparency Label Styles: Circle or box format Smart Placement: Auto-adjust to avoid overlap Color Customization: Full control over all color schemes Absorption Settings Body Size Ratio: Adjust sensitivity (0.1-1.0) Absorption Labels: Toggle B-ABS/S-ABS labels Background Highlight: Toggle bar highlighting 📊 Output Information Each bubble displays: Volume: Formatted in millions (e.g., "1.25M") Z-Score: Statistical significance (e.g., "Z:2.45") Direction: Color-coded bullish/bearish Absorption Type: B-ABS or S-ABS when applicable 🎯 Use Cases For Traders: Breakout Confirmation: Validate breakouts with volume support Reversal Signals: Spot absorption at key support/resistance levels Trend Continuation: Identify accumulation/distribution patterns Risk Management: Avoid false breakouts with volume context For Analysts: Volume Profile Analysis: Understand institutional activity Market Structure: Identify hidden support/resistance Order Flow: Track buying/selling pressure in real-time Statistical Edge: Use Z-Score for objective volume assessment ⚡ Pro Tips Combine with Price Action: Use absorption signals at key S/R levels Multi-Timeframe: Lower timeframe provides early signals Confirmation: Wait for candle close before acting on signals Risk Management: Use smaller position sizes on absorption signals 🔧 Technical Details Built With: Pine Script v5 Maximum Labels: 500 (configurable) Overlay: Yes (displays on main chart) Calculation: On bar close (most accurate) Performance: Optimized for real-time use 📱 Alert Conditions Unusual Volume Delta: Triggers on statistically significant volume Absorption Detected: Alerts when absorption pattern forms Customizable: Set your own threshold levels 🎨 Design Philosophy Clarity: Minimal, clean visual presentation Information Density: Maximum insight with minimum clutter Customizability: Every visual element is adjustable User Experience: Intuitive for both beginners and professionals 📚 Educational Value This indicator teaches: Volume-price relationship Statistical volume analysis Absorption and distribution concepts Order flow interpretation Multi-timeframe analysis 🤝 Community Benefits Open Logic: Transparent calculations for peer review Educational: Helps traders understand volume dynamics Customizable: Adapts to different trading styles Reliable: Based on proven volume analysis principles 🚀 Why This Indicator? Smart Detection: Goes beyond basic volume analysis Directional Clarity: Clearly shows who's in control Statistical Rigor: Uses Z-Score for objective signals Professional Grade: Suitable for institutional analysis Beginner Friendly: Clear visuals and explanations Recommended Settings by Timeframe: Scalping (1-5 min): Lower TF = "1", Z-Score = 2.5 Day Trading (15-60 min): Lower TF = "5", Z-Score = 2.0 Swing Trading (4H-Daily): Lower TF = "60", Z-Score = 1.8 Perfect for: Day traders, swing traders, volume analysts, institutional traders, and anyone wanting to understand the true story behind price movements through volume analysis. Combine with price action and support/resistance levels for best results!Pine Script® indicatorby iamsammy29
Radiant Mean Reversion Channels [Pineify]Radiant Mean Reversion Channels - HMA & ATR Normalized Oscillator with Dynamic Gradient Signals The Radiant Mean Reversion Channels indicator is a volatility-normalized oscillator designed to detect high-probability mean reversion setups across any market and timeframe. It transforms a Hull Moving Average (HMA) based channel into a bounded 0–100 oscillator, making it easy to spot when price has stretched to statistical extremes and is likely to revert toward equilibrium. By combining the low-lag properties of HMA with the adaptive volatility measurement of ATR, this indicator provides fast, accurate overbought and oversold readings without the noise common in traditional oscillators. Key Features HMA-based dynamic mean for ultra-low-lag price tracking ATR-driven volatility bands that automatically adapt to market conditions Normalized 0–100 oscillator scale for consistent interpretation across all instruments WMA smoothing to reduce whipsaws while preserving signal responsiveness Dynamic gradient coloring that shifts from bearish to bullish based on oscillator value Clearly defined overbought (80/90) and oversold (10/20) zones with visual fills Automatic buy and sell signal generation on mean reversion crossovers Built-in alert conditions for seamless trading automation How It Works The indicator follows a five-step calculation pipeline that converts raw price action into a clean, actionable oscillator: Dynamic Mean via HMA: The center of the channel is calculated using a Hull Moving Average of the selected source over the specified channel length. HMA was chosen specifically because it dramatically reduces lag compared to SMA or EMA while maintaining a smooth curve, giving traders a more accurate real-time estimate of the current mean price. Volatility Measurement via ATR: The Average True Range over the same lookback period measures current market volatility. This value is scaled by a user-defined Band Multiplier to create the channel width. ATR naturally adapts—widening during volatile conditions and tightening during consolidation—ensuring the channel remains contextually appropriate. Channel Construction: The upper and lower bands are formed by adding and subtracting the scaled ATR from the HMA mean. This creates a dynamic envelope that contains most price action under normal conditions. Normalization to Oscillator: The price position within the channel is normalized using the formula: (Price - Lower Band) / (Upper Band - Lower Band) × 100. This maps the channel into a 0–100 scale where 0 represents the lower band, 100 represents the upper band, and 50 represents the mean. Values above 100 or below 0 indicate price has exceeded the channel boundaries. WMA Smoothing: The raw oscillator is smoothed using a Weighted Moving Average, which gives more weight to recent readings. This reduces noise and false signals while keeping the oscillator responsive to genuine shifts in momentum. Trading Ideas and Insights Mean reversion is a core principle in quantitative trading—prices tend to oscillate around a fair value and snap back after stretching too far. The Radiant Mean Reversion Channels quantifies this behavior by measuring exactly where price sits within its volatility envelope: When the oscillator rises above 80, price is near the upper channel band—a statistically overbought condition where selling pressure often emerges When the oscillator falls below 20, price is near the lower channel band—an oversold zone where buyers tend to step in The extreme levels at 90 and 10 represent deeper extensions where reversion probability increases significantly Signal generation occurs when the oscillator crosses back inside these zones, timing the actual beginning of the reversion move rather than trying to catch the exact top or bottom This method excels in range-bound and mean-reverting markets. In trending markets, the signals can be used to identify pullback entry opportunities in the direction of the prevailing trend. How Multiple Indicators Work Together The Radiant Mean Reversion Channels integrates three distinct technical concepts into a cohesive analytical framework: Hull Moving Average (Mean): HMA serves as the dynamic center of the channel. Its unique double-smoothed, lag-compensated formula (using nested WMAs with square root period adjustment) provides a mean line that reacts to trend changes significantly faster than traditional averages. This ensures the "fair value" baseline stays current with evolving market conditions. Average True Range (Volatility): ATR measures real market volatility by accounting for gaps and true trading ranges—not just close-to-close changes. As the volatility component, ATR automatically adjusts the channel width. During high-volatility periods, the channel expands so that only truly extreme moves trigger signals. During low-volatility periods, it contracts to remain sensitive, preventing missed opportunities. Weighted Moving Average (Smoothing): The WMA applied to the normalized oscillator gives heavier weight to the most recent data points. This produces a smoother output than SMA while introducing less lag than EMA for short smoothing periods, striking an optimal balance between signal clarity and timeliness. These three components work together synergistically: HMA tracks where price should be, ATR defines how far is too far, and WMA ensures the final oscillator reading is clean and reliable. Unique Aspects HMA-ATR Combination: Most channel-based oscillators use Bollinger Bands (SMA + Standard Deviation). By pairing HMA with ATR, this indicator benefits from lower lag on the mean and a volatility measure that accounts for gaps and true range—producing faster and more robust channel boundaries Dynamic Gradient Visualization: The oscillator line smoothly transitions color from bearish to bullish across the 0–100 range using a continuous gradient. This provides immediate visual feedback on market conditions without requiring traders to reference fixed levels Dual-Zone Architecture: The indicator features both standard zones (20/80) and extreme zones (10/90) with distinct visual fills, helping traders differentiate between moderate and extreme conditions at a glance Normalization Advantage: By converting the channel into a normalized oscillator, traders can compare readings across different assets and timeframes on a consistent scale, making it versatile for multi-market analysis How to Use Add the indicator to your chart—it displays as a sub-chart oscillator below the main price chart Monitor the oscillator's position: readings above 80 indicate overbought conditions, below 20 indicate oversold conditions Watch for buy signals (circles at the bottom) when the oscillator crosses back above 20 from oversold territory, indicating a bullish mean reversion is underway Watch for sell signals (circles at the top) when the oscillator crosses back below 80 from overbought territory, signaling a bearish mean reversion Use the gradient color intensity to quickly assess momentum—greener tones indicate bullish positioning while redder tones indicate bearish positioning Combine with trend analysis: in uptrends, prioritize buy signals near the 20 level; in downtrends, prioritize sell signals near the 80 level Enable alerts using the built-in alert conditions to receive notifications when reversion signals trigger Customization Channel Length (default: 21): Controls the lookback period for both the HMA mean and ATR volatility calculation. Shorter values increase sensitivity for scalping; longer values provide smoother readings for swing trading Band Multiplier (default: 2.0): Adjusts the channel width by scaling the ATR value. Higher values create wider channels, producing fewer but higher-confidence signals. Lower values narrow the channel for more frequent signals Oscillator Smoothing (default: 3): Controls the WMA smoothing period applied to the raw oscillator. Increase this value in choppy markets to filter out noise; decrease it in clean-trending markets for faster signals Source (default: Close): Select the price source for all calculations. Alternatives like HL2 or HLC3 can provide smoother inputs Bullish/Bearish/Neutral Colors: Fully customizable color scheme for the gradient, zones, and signal markers to match your preferred chart theme Conclusion The Radiant Mean Reversion Channels indicator offers traders a refined approach to mean reversion analysis by combining the speed of Hull Moving Average, the adaptive volatility measurement of ATR, and intelligent WMA smoothing into a single normalized oscillator. Its gradient visualization, clearly defined reversion zones, and automated signal generation make it a practical and visually intuitive tool for identifying high-probability reversal points. Whether used for timing entries in range-bound markets or catching pullbacks in trending conditions, this indicator brings clarity and precision to mean reversion trading strategies. Pine Script® indicatorby Pineify33
Volumetric Supply and Demand Zones [BOSWaves]Volumetric Supply and Demand Zones - Impulse-Based Zone Detection with Embedded Volume Profile Analysis Overview Volumetric Supply and Demand Zones is an impulse-driven zone identification system that marks significant reversal areas through swing detection and volume accumulation patterns, where zone boundaries dynamically reflect actual trading activity concentration rather than arbitrary price levels. Instead of relying on traditional horizontal support/resistance lines or fixed pivot structures, zone placement, thickness, and volumetric composition are determined through ATR-normalized impulse detection, volume profile distribution analysis, and delta decomposition within base formation periods. This creates adaptive supply and demand boundaries that reflect actual volume accumulation patterns rather than simple price extremes - contracting zones around high-volume concentration areas when profile shows tight distribution, expanding zones during dispersed volume activity, and incorporating positive/negative delta breakdowns to reveal whether zones formed under buying or selling pressure dominance. Price interactions are therefore evaluated relative to volume-weighted zone structures and point-of-control levels rather than conventional naked price zones. Conceptual Framework Volumetric Supply and Demand Zones is founded on the principle that meaningful reversal zones emerge where significant volume accumulated during consolidation before impulse moves rather than at simple swing high/low pivot points. Traditional supply and demand methods identify zones using price structure alone through swing detection or candlestick patterns, which often ignores the underlying volume distribution and buying/selling pressure that validates institutional accumulation or distribution. This framework replaces price-only logic with volume-weighted zone construction informed by actual trading activity concentration and delta composition. Three core principles guide the design: Zone boundaries should encompass base formation periods preceding impulse moves, not isolated pivot candles alone. Volume profile distribution within zones must reveal where actual trading activity concentrated, identifying true points of control. Delta decomposition exposes whether zones formed under buying pressure (demand accumulation) or selling pressure (supply distribution). This shifts supply and demand analysis from naked price levels into volume-validated, delta-aware institutional footprint zones. Theoretical Foundation The indicator combines swing pivot detection, ATR-based impulse measurement, volume profile construction, and delta decomposition analysis. A pivot detection system identifies local swing highs and lows using configurable left/right bar parameters. Impulse validation measures the subsequent price move magnitude relative to ATR, confirming whether the swing preceded a significant directional thrust. Zone boundaries encompass a lookback period of candles forming the base, with maximum height capped by ATR multiplier to prevent excessively large zones. Volume profile divides each zone into horizontal rows, distributing volume proportionally based on price overlap and identifying the point of control (highest volume row). Delta profile separates volume into buying versus selling components using close-open relationships, revealing net directional pressure within each profile row. Five internal systems operate in tandem: Swing Detection Engine : Identifies pivot highs and lows using symmetrical left/right bar confirmation for potential zone anchor points. Impulse Validation System : Measures price movement magnitude following pivot formation, requiring ATR-multiple threshold breach to confirm zone significance. Volume Profile Constructor : Divides zone height into configurable rows, allocates volume proportionally based on bar price range overlap with each row, identifies POC as highest-volume row. Delta Decomposition Engine : Separates volume into buying (up-close bars) versus selling (down-close bars) components within each profile row, calculates net delta and dominant pressure direction. Zone Merge Logic : Detects overlapping zones of same type (supply/supply or demand/demand), combines boundaries and recalculates volume/delta statistics with weighted blending. This design allows supply and demand zones to reflect actual volume accumulation reality rather than reacting mechanically to price pivots alone. How It Works Volumetric Supply and Demand Zones evaluates price through a sequence of volume-aware zone construction processes: Pivot Identification : Swing detection algorithm identifies local highs and lows using configurable left/right bar symmetry, marking potential reversal zone anchors. Impulse Magnitude Validation : Following pivot formation, price movement measured relative to ATR over lookback period - move must exceed ATR multiplier threshold to confirm zone validity. Base Period Boundary Definition : Zone encompasses pivot bar plus configurable lookback candles forming the consolidation base preceding impulse move. Height Normalization : Raw zone height (high to low of base period) capped at maximum ATR multiplier to prevent zones becoming unreasonably large during extended consolidations. Volume Profile Row Allocation : Zone divided into configurable number of horizontal rows, each bar's volume distributed proportionally based on price range overlap with row boundaries. Point of Control Identification : Row with highest accumulated volume marked as POC, representing price level with maximum trading activity concentration within zone. Delta Component Separation : Each bar's volume classified as buying (close > open) or selling (close < open), allocated to respective delta buckets within overlapping profile rows. Delta Profile Construction : Net delta (buy volume minus sell volume) calculated per row, rendered as horizontal bars extending from zone right edge inward with green (positive) or red (negative) coloring. Overlap Detection and Merging : New zones checked against existing zones of same type, overlapping zones within merge gap threshold combined with boundary expansion and volume/delta statistics aggregation. Mitigation Detection : Price interaction monitoring using configurable method (wick or close) determines when zones violated, triggering zone deletion and cleanup of all visual elements. Together, these elements form a continuously updating supply and demand framework anchored in volume accumulation reality and delta pressure composition. Interpretation Volumetric Supply and Demand Zones should be interpreted as volume-validated institutional footprint zones: Demand Zones (Green) : Form at swing lows preceding upward impulse moves exceeding ATR threshold - represent areas where buyers accumulated positions before markup phase, volume profile shows where bids concentrated. Supply Zones (Red) : Establish at swing highs preceding downward impulse moves exceeding ATR threshold - identify areas where sellers distributed positions before markdown phase, volume profile shows where offers concentrated. Volume Profile Bars : Horizontal bars extending from zone left edge show relative volume distribution across price levels - longer bars indicate higher trading activity, revealing true institutional accumulation/distribution levels versus arbitrary zone edges. Point of Control Line (White) : Horizontal line within zone marks price level with maximum volume concentration - represents the most significant institutional activity level, often acts as magnetic price level during retests. Delta Profile Bars : Horizontal bars extending from zone right edge inward display net buying/selling pressure per price level - green bars show buy volume dominance (accumulation), red bars show sell volume dominance (distribution). Zone Info Box : Text panel on right edge displays zone type (SUPPLY/DEMAND), status (Fresh/Tested), total volume, net delta, and touch count - provides quantitative validation of zone significance. Fresh Status : Newly created zones not yet tested by price - highest probability reversal zones as institutional orders likely remain unfilled. Tested Status : Zones where price returned and interacted with boundaries - touch count reveals how many times zone provided support/resistance, excessive touches suggest weakening. Merged Zones : Wider zones with higher volume/delta values formed by combining multiple overlapping base periods - represent extended institutional accumulation/distribution areas with greater significance. POC Brightness : Brightest (white) volume profile bar marks point of control - visual emphasis highlights the most critical price level within zone structure. Volume distribution shape, POC placement, delta composition, and touch count outweigh simple zone boundary reactions. Signal Logic & Visual Cues Volumetric Supply and Demand Zones presents zone interaction insights rather than discrete directional signals: Fresh Zone Formation : New supply or demand zone created when swing pivot followed by ATR-threshold impulse - suggests institutional footprint left behind, high-probability reversal area established. First Retest (Fresh → Tested) : Price returning to previously untouched zone triggers status change and touch increment - historically highest-probability reaction level as unfilled orders likely remain. POC Magnetic Behavior : Price gravitating toward white POC line during zone interaction - suggests institutional activity concentration level acting as support/resistance within broader zone. Volume Profile Asymmetry : Profile showing volume concentrated at zone edge versus center reveals base formation character - edge concentration suggests quick accumulation before impulse, center concentration indicates prolonged consolidation. Delta Divergence Patterns : Demand zones showing negative delta profile (red bars dominant) or supply zones showing positive delta (green bars) reveal weak zone formation - pressure composition conflicted with expected direction. Delta Confirmation Patterns : Demand zones with strong positive delta (green bars) or supply zones with strong negative delta (red bars) validate institutional conviction - pressure aligned with expected reversal direction. Excessive Touch Degradation : Touch count exceeding 3-4 interactions suggests zone weakening - repeated tests consume institutional orders, reducing reversal probability. Mitigation Events : Price closing beyond zone boundaries (or wicking through, based on settings) triggers zone deletion - invalidation confirms institutional levels failed, trend continuation likely. The primary value lies in volume-validated zone structure and delta composition analysis rather than simple boundary touches. Strategy Integration Volumetric Supply and Demand Zones fits within institutional footprint and order flow-aware trading approaches: Fresh Zone Reversal Entries : Enter counter-trend positions at first retest of fresh zones with strong delta confirmation - unfilled institutional orders provide high-probability reaction levels. POC-Precise Limit Orders : Place entries at POC line rather than zone edges - point of control represents maximum volume concentration, offering tighter stop placement and better risk/reward. Delta-Filtered Zone Selection : Prioritize demand zones showing positive net delta and supply zones showing negative net delta-aligned pressure composition validates institutional conviction. Volume Profile Distribution Analysis : Favor zones with tight volume concentration (profile bars clustered) over dispersed distribution - concentrated profiles suggest decisive institutional accumulation/distribution. Merge-Enhanced Conviction : Treat merged zones with higher volume/delta totals as stronger reversal candidates - combined statistics represent extended institutional activity periods. Touch Count Degradation Filtering : Reduce position sizing or avoid zones with 3+ touches - excessive interaction depletes institutional orders, weakening reversal probability. Trend Continuation via Mitigation : Enter breakout positions when price closes beyond supply zones (uptrend) or demand zones (downtrend) - mitigation confirms trend strength overwhelming institutional levels. Multi-Timeframe Zone Confluence : Apply higher-timeframe zones for macro structure, use lower-timeframe volume profile to identify precise entry levels within larger zones. Technical Implementation Details Core Engine : Pivot detection with symmetrical left/right confirmation, ATR-normalized impulse validation Zone Construction : Base period lookback with ATR-capped height normalization and time-based extension Volume Profile System : Proportional volume allocation across configurable rows with overlap percentage calculation Delta Engine : Close-open relationship classification separating buy/sell volume with net delta calculation per row POC Identification : Maximum volume row detection with visual emphasis rendering Merge Logic : Overlap detection with gap threshold, boundary expansion, and weighted statistic aggregation Visualization : Multi-element rendering (zone boxes, profile bars, delta bars, POC lines, info panels) with proportional sizing Performance Profile : Custom type system for zone/profile/delta management, efficient array-based storage with configurable zone limits Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure supply/demand for scalping with tight ATR multipliers and reduced lookback 15 - 60 min : Intraday institutional footprint zones with balanced profile row count and merge sensitivity 4H - Daily : Swing-level accumulation/distribution areas with extended lookback periods and wider merge gaps Weekly - Monthly : Macro institutional zones with maximum profile detail and extended zone persistence Suggested Baseline Configuration: Swing Length : 8 Impulse Size (ATR) : 1.2 Base Lookback Candles : 3 ATR Length : 14 Maximum Zone Height (ATR) : 4.0 Maximum Zones : 10 Extend Zones (bars) : 60 Merge Overlapping Zones : Enabled Merge Gap (ATR) : 0.3 Mitigation Type : Wick Profile Rows : 10 Profile Width (%) : 0.5 Show POC Line : Enabled Show Delta Profile : Enabled Delta Profile Width (%) : 0.35 Show Zone Info Box : Enabled These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, volume characteristics, and preferred zone sensitivity, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many zones cluttering chart : Increase Swing Length (10 - 12) to demand stronger pivots, or increase Impulse Size multiplier (1.5 - 2.0) to require larger moves for zone validation. Missing significant reversal levels : Decrease Swing Length (5-6) for earlier pivot detection, or reduce Impulse Size (0.8 - 1.0) to capture smaller but valid base formations. Zones too large/tall : Reduce Maximum Zone Height ATR multiplier (2.5 - 3.0) to cap vertical size, or decrease Base Lookback Candles (1 - 2) for tighter base periods. Zones too small to be useful : Increase Base Lookback Candles (4 - 6) to encompass longer consolidation periods, or raise Maximum Zone Height (5.0 - 7.0) for taller zones. Profile bars too granular : Decrease Profile Rows (6 - 8) for coarser distribution showing major volume clusters only. Profile lacking detail : Increase Profile Rows (15 - 20) for finer resolution revealing subtle volume distribution nuances. Zones merging too aggressively : Decrease Merge Gap ATR multiplier (0.1 - 0.2) to require tighter overlap for merge qualification, or disable merging entirely. Related zones not combining : Increase Merge Gap (0.5 - 0.8) to allow merging of zones with larger separation distances. Zones invalidating prematurely : Switch Mitigation Type from "Wick" to "Close" to require closing violation rather than intrabar penetration. Zones persisting too long after breach : Switch Mitigation Type from "Close" to "Wick" for faster invalidation on initial penetration. Profile bars invisible : Increase Profile Width percentage (0.6 - 0.8) for longer bars, improving visibility on cluttered charts. Delta profile obscuring volume profile : Reduce Delta Profile Width (0.2 - 0.3) to prevent overlap, or disable delta display temporarily. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Range-bound and mean-reverting markets where institutional zones provide reliable turning points Instruments with consistent volume characteristics where profile distribution reveals true accumulation/distribution Swing trading approaches targeting zone-to-zone reactions with defined risk parameters Reversal strategies seeking volume-validated entry levels rather than blind counter-trend positions Markets where delta proxy correlates well with actual order flow (trending volume instruments) Position trading benefiting from macro supply/demand structure with embedded volume context Reduced Effectiveness: Extremely low volume environments where profile distribution becomes unreliable and sparse News-driven or gapped markets where zones form/invalidate without normal volume accumulation patterns Highly trending markets where zones consistently mitigate without providing reversal opportunities Instruments with erratic volume patterns making delta decomposition and profile interpretation misleading Very high-frequency timeframes (seconds) where base formation periods too short for meaningful volume accumulation Integration Guidelines Confluence : Combine with BOSWaves structure, market profile, or traditional technical analysis for zone validation within broader context Volume Profile Respect : Trust POC levels and high-volume profile bars over arbitrary zone edges for entry/exit precision Delta Confirmation Priority : Favor zones where delta composition aligns with expected direction - positive delta in demand, negative delta in supply Fresh Zone Preference : Prioritize first retests of untouched zones over repeatedly tested areas with high touch counts Merge Recognition : Treat merged zones with elevated volume/delta statistics as higher-conviction institutional footprint areas Touch Count Filtering : Reduce position sizing or avoid zones after 3+ touches as institutional order depletion reduces effectiveness Mitigation Discipline : Exit zone-based positions decisively when price closes beyond boundaries, respecting invalidation signals Multi-Timeframe Structure : Apply higher-timeframe zones for swing structure, use lower-timeframe profiles for tactical entry refinement Disclaimer Volumetric Supply and Demand Zones is a professional-grade supply/demand zone and volume profile analysis tool. It uses volume-based delta proxy to estimate directional pressure but does not access true order book data or institutional trade information. Results depend on market conditions, volume reliability, ATR characteristics, parameter selection, and disciplined execution. Volume profile and delta calculations represent approximations based on close-open relationships and price overlap formulas, not actual bid/ask transactions. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, order flow context, and comprehensive risk management.Pine Script® indicatorby BOSWaves66702
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Volume Average [UkutaLabs]█ OVERVIEW Volume Average is a simple yet powerful indicator designed to help traders quickly understand how current trading volume compares to its historical norm. By plotting an average volume line directly on the volume chart, this indicator makes it easy to identify periods of unusually high or low participation , which often precede or confirm meaningful price movements. Rather than focusing on raw volume alone, Volume Average provides essential context—helping traders distinguish between routine market activity and moments when volume truly matters. █ HOW IT WORKS The indicator calculates a moving average of volume over a user-defined period and displays it alongside standard volume bars. Volume above the average suggests increased market interest Volume below the average indicates reduced participation Sustained deviations from the average can highlight accumulation, distribution, or breakout conditions █ PRACTICAL USE CASES Confirming breakouts and breakdowns Identifying high-participation trend moves Spotting low-volume consolidations Filtering false price moves caused by weak volume █ SETTINGS Adjustable volume average length Works on all markets and timeframes Compatible with any trading style (scalping, day trading, swing trading) █ SUMMARY Volume Average is a clean, no-noise tool that helps traders focus on what matters most: when volume is truly significant . It pairs well with price action, support and resistance, and trend-based strategies.Pine Script® indicatorby UkutaLabsUpdated 9