Commencez

Forecasting

Orbedud_Rebourne_V2_SubgraphOrbedud Rebourne Trading Indicator A fully adaptive, multi-timeframe trend detection system. The Orbedud Rebourne indicator analyzes market dynamics across multiple perspectives simultaneously, providing clear directional signals without requiring manual parameter optimization. The system automatically adapts to changing market conditions and different timeframes, making it suitable for futures, stocks, and forex trading. Key Features: Self-adapting to any market or timeframe Consensus-based signals for high-confidence entries Normalized strength meter (-100 to +100) for objective trend measurement Visual trend lines with color-coded market states Built-in signal filtering to reduce false entries Outputs: Master trend line with support/resistance levels Entry signals with confirmation markers Market strength visualization Session level tracking
Indicateur Pine Script®
par orbedud
Orbedud_Rebourne V2Orbedud Rebourne Trading Indicator A fully adaptive, multi-timeframe trend detection system. The Orbedud Rebourne indicator analyzes market dynamics across multiple perspectives simultaneously, providing clear directional signals without requiring manual parameter optimization. The system automatically adapts to changing market conditions and different timeframes, making it suitable for futures, stocks, and forex trading. Key Features: Self-adapting to any market or timeframe Consensus-based signals for high-confidence entries Normalized strength meter (-100 to +100) for objective trend measurement Visual trend lines with color-coded market states Built-in signal filtering to reduce false entries Outputs: Master trend line with support/resistance levels Entry signals with confirmation markers Market strength visualization Session level tracking
Indicateur Pine Script®
par orbedud
VOLKDW!This indicator displays real-time trading volume to help identify institutional participation, momentum strength, and potential reversals. Volume bars expand during periods of high market interest, often confirming breakouts, trend continuations, and high-probability entries. Contracting volume can signal exhaustion, consolidation, or weakening trends. How to Use: Rising price + rising volume → strong trend confirmation Rising price + falling volume → possible divergence or fake breakout High volume spikes → institutional activity or key decision points Low volume zones → chop, consolidation, or no-trade environments Best used alongside price action, support/resistance, ORB, and market structure for confirmation—not as a standalone signal. 💣 Volume Pressure Indicator – Description (Aggressive / Trader Style) This indicator tracks raw volume pressure to expose where real money steps in. Explosive volume bars often mark: Breakouts that actually matter Stop runs Reversal traps Trend continuation fuel When price moves without volume, it’s usually fake. When volume expands, something real is happening. Trading Logic: Volume spike + breakout = high-conviction move Volume spike + rejection = reversal / fade setup Weak volume = sit on hands Climax volume = trend exhaustion warning Designed to keep you out of dead markets and in sync with momentum.
Indicateur Pine Script®
par FlintStoneKW
Momentum Oscillator [Scalping-Algo]Momentum Oscillator --- What is this? A momentum indicator that shows when price might reverse or continue. It's like MACD but with extra filters so you get fewer fake signals. --- The Components ① OSCILLATOR (Cyan/Magenta line) The main line. Goes up = bullish momentum. Goes down = bearish momentum. ② SIGNAL LINE (Yellow/Orange line) A smoothed version. When oscillator crosses it, momentum is shifting. ③ HISTOGRAM (Green/Red bars) Shows momentum strength. Bigger bars = stronger momentum. Shrinking bars = momentum dying. ④ BLUE CIRCLE Bullish cross. Oscillator just crossed above signal line. ⑤ YELLOW CIRCLE Bearish cross. Oscillator just crossed below signal line. ⑥ TRIANGLES ▲ Green = Buy signal (all filters passed) ▼ Red = Sell signal (all filters passed) ⑦ DASHED LINES Forecast. Where the indicator might go next. Just a guess based on recent movement. --- How to Trade It Entry: - Wait for triangle signal (not just circles) - Check bars are growing in your direction - Make sure price agrees with momentum Exit: - Bars start shrinking = momentum fading - Opposite color circle appears = momentum shifting - Take profit before reversal Avoid: - Trading against higher timeframe trend - Signals when bars are tiny - Choppy sideways markets --- Reading the Chart Green bars getting bigger → momentum building up → price likely continues up Green bars getting smaller → momentum fading → watch for reversal Red bars getting bigger → selling pressure increasing → price likely drops Red bars getting smaller → selling exhausted → watch for bounce Circles show every cross. Triangles only show when multiple things align. --- Quick Settings Guide Want more signals? Lower the volume filter Want fewer signals? Raise the volume filter Too many fakeouts? Turn on HTF filter Missing moves? Lower the min histogram size --- Limitations This won't predict the future. The forecast is just math projection, not magic. Markets can reverse anytime. Always use stop losses. Test on demo first. Uses standard stuff (EMA, RSI, VWAP) combined in a specific way. Nothing revolutionary, just filtered momentum. --- That's it. Watch the bars, wait for triangles, manage your risk.
Indicateur Pine Script®
par A1TradingHub
MTF ATR LadderMTF ATR Ladder plots a higher‑timeframe ATR‑based ladder around a central pivot, mapped to your holding style (Scalp, DayTrade, ShortSwing, LongSwing, MediumHold, LongTerm). It anchors to regular‑session closes and computes a mode‑based central pivot plus configurable ATR levels: trigger bands at ±0.236 ATR, fib steps (±0.382/0.50/0.618/0.786), and core ±1 ATR, with optional ATR extensions out to ±3 ATR. You can independently toggle central, daily, weekly, monthly, and quarterly pivots and labels, choose current vs previous HTF close, customize line width/color, and control whether price, ATR labels, or both are shown at each level for clean intraday or swing execution framing
Indicateur Pine Script®
par Dhanu_Aluri
Valex Bot - V3Valex Bot V3 is a macro trend intelligence indicator designed to cut through market noise and highlight the most important directional shifts in price. Built for traders who prioritize clarity and confidence, it delivers clean, visually intuitive trend guidance along with precise buy and sell signals that align with major market cycles. By anchoring its analysis to higher-timeframe market structure, Valex Bot V3 helps users stay on the right side of powerful trends while avoiding emotional overtrading and false signals common on lower timeframes. Whether used as a standalone trend system or as a directional filter for entries, it excels at identifying high-probability market phases across crypto, forex, and traditional markets.
Indicateur Pine Script®
par ValexBot
9:30 High / Low Start at Candleالعربية اسم المؤشر: 9:30 هاي – فاصل 30 دقيقة فقط الوصف: هذا المؤشر يقوم برسم خط أفقي عند أعلى سعر (High) لشمعه افتتاح السوق الأمريكي الساعة 9:30 صباحًا بتوقيت نيويورك. يعمل فقط على الفواصل الزمنية 30 دقيقة وأقل، ويمتد الخط حتى نهاية اليوم. يمكنك اختيار عرض اليوم الحالي أو اليوم السابق فقط. يعتبر أداة مفيدة لتحديد مستويات المقاومة والاختراقات المهمة خلال جلسة التداول الأمريكية. المميزات: رسم الخط مباشرة على شمعة 9:30. تمديد الخط حتى نهاية اليوم تلقائيًا. خيار عرض اليوم الحالي أو اليوم السابق فقط. يعمل بدقة مع توقيت نيويورك والتوقيت الصيفي. English Indicator Name: 9:30 High – 30m Only Description: This indicator draws a horizontal line at the High of the US market opening candle at 9:30 AM New York time. It works only on 30-minute charts or lower, and the line extends automatically until the end of the day. You can choose to display the current day or the previous day only. This tool is useful for identifying key resistance levels and potential breakouts during the US trading session. Features: Line plotted directly on the 9:30 candle. Line extends automatically to the end of the day. Option to show current day or previous day only. Fully compatible with New York time and daylight saving.
Indicateur Pine Script®
par madalshehri
PAN ADR/AWR/AMR/AQR/AYR Zones V2Overview This indicator displays multi-timeframe trading zones based on historical price ranges. It calculates dynamic support and resistance levels across five different timeframes (daily, weekly, monthly, quarterly, yearly) to help identify potential price boundaries and breakout areas. Core Functionality Daily Zones (Red) Calculates Average Daily Range (ADR) using a configurable period (default: 22 days) Creates upper and lower zones around the daily opening price Adjustable offset percentage to expand/contract the zone width Updates at the start of each new trading day Weekly Zones (Blue) Calculates Average Weekly Range (AWR) using a configurable period (default: 52 weeks) Creates upper and lower zones around the weekly opening price Adjustable offset percentage for zone width customization Updates at the start of each new trading week Monthly Zones (Green) Calculates Average Monthly Range (AMR) using a configurable period (default: 12 months) Creates upper and lower zones around the monthly opening price Adjustable offset percentage for fine-tuning Updates at the start of each new month Quarterly Zones (Orange) Calculates Average Quarterly Range (AQR) using a configurable period (default: 8 quarters) Creates upper and lower zones around the quarterly opening price Adjustable offset percentage for zone adjustment Updates at the start of each new quarter Yearly Zones (Purple) Calculates Average Yearly Range (AYR) using a configurable period (default: 5 years) Creates upper and lower zones around the yearly opening price Adjustable offset percentage for customization Updates at the start of each new year Key Features Band Thickness Control: All zones include adjustable band thickness (default: 0.1%) to create visible bands rather than single lines, making support/resistance areas clearer. Individual Timeframe Toggle: Each timeframe can be independently enabled or disabled, allowing focused analysis on specific time horizons. Customizable Transparency: Each timeframe's zones have adjustable transparency settings (0-100%) for better visual management when multiple zones overlap. Non-Repainting Calculation: All calculations occur only at the start of each respective period, ensuring historical zones remain fixed and don't repaint. Offset Adjustment: Each timeframe includes an offset percentage to expand or contract the zones relative to the calculated average range. Practical Applications Range Trading: Identify potential support and resistance levels for range-bound trading strategies Breakout Confirmation: Use zone breaks as confirmation signals for trend continuation or reversal Multi-Timeframe Analysis: Compare zones across different timeframes to identify confluence areas Risk Management: Set stop-loss and take-profit levels based on zone boundaries Market Structure: Understand how price interacts with historical range boundaries Usage Tips Higher Timeframe Priority: Zones from longer timeframes (yearly, quarterly) generally carry more significance than shorter timeframe zones. Zone Confluence: Areas where multiple timeframe zones overlap often represent stronger support/resistance levels. Band Thickness: Adjust the band thickness based on your trading style - thinner bands for precise entries, thicker bands for broader areas. Offset Settings: Increase offsets in volatile markets, decrease in ranging markets. Transparency Management: When analyzing multiple timeframes, use higher transparency for less important timeframes to reduce visual clutter. The indicator is particularly useful for swing traders and position traders who need to understand how current price action relates to historical range boundaries across different time horizons.
Indicateur Pine Script®
par prasantmit2005
Planetary Retrograde Periods█ PLANETARY RETROGRADE PERIODS Visualize when planets appear to move backward through the zodiac. This indicator detects and displays retrograde motion for all 8 planets that exhibit apparent retrograde motion from Earth's perspective: Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto. Powered by the BlueprintResearch lib_ephemeris library. █ FEATURES • 8 Planets Supported — Mercury, Venus, Mars, Jupiter, Saturn, Uranus, Neptune, and Pluto • Two-Phase Visualization — Distinguishes first half (speed increasing in retrograde direction) from second half (speed decreasing toward direct motion) with different transparency levels • Future Projections — Projects upcoming retrograde periods up to 500 bars ahead on any timeframe • Station Markers — Clear labels for Station Retrograde (℞), Midpoint (½), and Station Direct (D) • Timezone-Aware Labels — Future date/time labels display in your selected timezone • Alert Conditions — Set alerts for station retrograde, station direct, or any station point • Per-Planet Colors — Customize colors for each planet individually • Speed-Based Detection — More accurate than longitude-based methods █ HOW TO USE 1. Select a Planet — Choose which planet to track from the dropdown (Mercury through Pluto) 2. Enable Two-Phase Display — Toggle "Show Retrograde Halves" to see first half vs. second half shading 3. Configure Future Projections — Set how many bars ahead to scan (1-500) and enable/disable date labels 4. Set Your Timezone — Choose your timezone for accurate future date/time display 5. Customize Colors — Adjust planet colors, transparency levels, and label text color to match your chart theme 6. Create Alerts — Use TradingView's alert system with the built-in conditions for station points █ UNDERSTANDING THE DISPLAY Background Colors: • First Half of the Planet’s retrograde (lighter shade) • Second Half of the Planet’s retrograde period (darker shade) Future Projection Lines: • ℞ (Station Retrograde) — Yellow dotted line marking when the planet will station retrograde • ½ (Midpoint) — Shorter line in planet color marking the halfway point of the retrograde period • D (Station Direct) — Green dotted line marking when the planet will station direct Labels: • Top label shows planet symbol and station type • Bottom label shows projected date and time (optional) █ ACCURACY This indicator uses speed-based detection Timing Accuracy: • All planets (Mercury through Pluto): Within hours to ±1 day • Future projections maintain accuracy up to 500 bars on any timeframe • Spot tested on Daily and Weekly charts with excellent results For Critical Applications: Cross-reference with professional ephemeris tools such as JPL Horizons or Swiss Ephemeris for mission-critical timing. █ TECHNICAL DETAILS Theory: VSOP87 (Mercury through Neptune), Meeus algorithms (Pluto) █ REFERENCES • Meeus, Jean. "Astronomical Algorithms" (2nd Edition, 1998) • Bretagnon & Francou. "VSOP87 Solutions" — Astronomy and Astrophysics 202 (1988)
Indicateur Pine Script®
par BlueprintResearch
Stochastic Extreme Oscillator [MatrixQuantLabs]Stochastic Extreme Oscillator is an enhanced stochastic-based oscillator designed to highlight market extremes, momentum shifts, and potential reversal zones with improved visual clarity and signal filtering. This indicator builds upon the classic Stochastic Oscillator by focusing on extreme zone behavior, peak & trough signals, and optional divergence detection, making it suitable for both discretionary and systematic traders. Key Features Extreme Zone Visualization • Multi-level overbought (80–100) and oversold (0–20) zones with adaptive color intensity help assess the strength and risk level of market extremes at a glance. Momentum-Aware Coloring • The %D line dynamically changes color based on its position relative to the zero line, providing an intuitive view of bullish, neutral, and bearish momentum states. Peak & Trough Signals • Optional bullish and bearish signals are triggered only when %K / %D cross occurs inside extreme zones, helping filter out low-quality signals in mid-range conditions. Regular Divergence Detection • Built-in bullish and bearish divergence detection based on pivot structure, allowing early identification of potential trend reversals. Clean & Focused Design • The indicator emphasizes the %D line as the primary signal source, while %K is used internally for logic, keeping the chart uncluttered and easy to read. Customization • Adjustable %K / %D lengths and smoothing • Toggle peak & trough signals on/off • Optional divergence detection with configurable pivot sensitivity • Designed to work across different markets and timeframes Usage Notes • Best used as a momentum and extreme-condition oscillator, not as a standalone trading system • Signals are most effective when combined with trend context, price structure, or higher-timeframe analysis • Divergence signals may appear with delay due to pivot confirmation logic Disclaimer This indicator is intended for educational and analytical purposes only and does not constitute financial advice. Always apply proper risk management and confirm signals with additional analysis.
Indicateur Pine Script®
par MatrixQuantLabs
4
Smart Money Concept, Modern ViewSmart Money Concept, Modern View (SMCMV) Institutional Volume Flow Analysis with VWMA Matrix ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📌 OVERVIEW SMCMV is an advanced institutional-grade indicator that combines Volume-Weighted Moving Average (VWMA) matrix analysis with sophisticated volume decomposition to detect buyer and seller entry points. The indicator provides a comprehensive real-time dashboard displaying market structure, volume dynamics, and validated trading signals. Key Features: • Dual Volume Model: Geometry-based (candle range split) and Intrabar (precise LTF data) • 10-Period VWMA Spectrum: Multi-timeframe support/resistance matrix (7, 13, 19, 23, 31, 41, 47, 67, 83, 97) • 5-Layer Scoring System: 100-point institutional-grade signal quality assessment • State Machine Signal Engine: Validated entry/exit signals with timer and range confirmation • Real-time Prediction Engine: Candle-by-candle buyer/seller probability estimation • High Volume Node Detection: Automatic identification of significant volume zones ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 DASHBOARD REFERENCE 1) NOW VECTOR (Current Market State) This section captures the immediate market conditions: • FLOW ANGLE: Directional angle of price movement in degrees (from VWMA-5). Positive = bullish, Negative = bearish. • LTP: Last Traded Price - current close price. • NET FLOW (Δ): Volume Delta - net difference between buying and selling volume. Shows ⚡+ or ⚡-. • LIQUIDITY: Total volume on the current bar (K/M format). • BUY VOL: Estimated buying volume based on selected model. • SELL VOL: Estimated selling volume. • BID PRES.: Buying volume as percentage of total volume. • ASK PRES.: Selling volume as percentage of total volume. • DIRECTION: Current state with hysteresis: BULL (🐂), BEAR (🐻), or NEUT (⚪). 2) DATA QUALITY / CONFIG Configuration status and data integrity monitoring: • VOL MODEL: INTRABAR (uses LTF data) or GEOMETRY (estimates from candle structure). • IB LTF: Intrabar Lower Timeframe for precise volume decomposition. • MODE: Micro (7 periods: 7-47) or Macro (10 periods: 7-97). • IB OK: Intrabar data validity - OK or NO. • IB STREAK: Consecutive bars with valid intrabar data. • LATENCY: Data freshness indicator. ✓ = current, ↺ = using historical reference. 3) STRUCTURE RADAR Market structure analysis showing price position relative to VWMA matrix: • WIRES ▲/▼: Count of VWMAs above (resistance) and below (support). • RES: Nearest Resistance - shows MA period, "ZN RES", or "BLUE SKY". • SUPP: Nearest Support - shows MA period, "ZN SUPP", or "FREE FALL". 4) ACTIVE INTERACTION Real-time analysis of price interaction with key levels: • Header Status: "⚠ TESTING SUPPLY (ASK SIDE)" / "⚠ TESTING DEMAND (BID SIDE)" / "--- NO KEY INTERACTION ---" • TARGET: Active level being tested (MA period or zone type). • TEST LEVEL: Exact price level being tested. • SCORE: Total score (0-100%) with letter grade . • VOLUME POWER: Volume ratio vs historical average (e.g., "2.5x"). • BREAKOUT: "CONFIRMED" if attacking volume exceeds defending, "REJECTED" otherwise. • DELTA DIR: "ALIGNED" if delta matches accumulation trend, "CONFLICT" if opposing. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 5-LAYER SCORING SYSTEM (100 Points Total) Layer 1: Volume Quality (Max 25 pts) • Mass (0-10): Volume ratio vs average. 0.5x=0, 1.0x=5, 2.0x=8, 3.0x+=10 • Spike (0-8): Volume Z-Score intensity • Trend (0-7): Volume trend alignment with price direction Layer 2: Battle Structure (Max 25 pts) • Break (0-10): Breakout intensity ratio (attacker vs defender) • Dom (0-8): Internal dominance ratio • Pres (0-7): Pressure imbalance percentage Layer 3: Flow & Energy (Max 20 pts) • Delta (0-8): Delta alignment with accumulation trend • Accel (0-6): Delta acceleration • Mom (0-6): Flow momentum Layer 4: Geometry (Max 15 pts) • Impact (0-7): Impact angle directness • Vec (0-5): Vector alignment • PriceZ (0-3): Price Z-Score position Layer 5: Army Structure (Max 15 pts) • Stack (0-5): MA stack depth • Conf (0-5): Confluence percentage • Trend (0-5): Trend alignment count (7>13, 13>23, 23>97) Grade Scale: • A+ = 90-100 pts (Exceptional) • A = 80-89 pts (Strong) • B+ = 70-79 pts (Good) • B = 60-69 pts (Moderate) • C+ = 50-59 pts (Below average) • C/D/F = Below 50 pts (Weak) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 5) SIGNAL STATUS PANEL Real-time signal state machine status: • Header: "🐂 BUYERS ACTIVE" / "🐻 SELLERS ACTIVE" / "⏳ VALIDATING..." / "⏸ RANGE / FLAT" • LOCK PRICE: Price at which signal was locked/confirmed. • RANGE ±: Validation range percentage. • POSITION: Price vs lock: "▲ ABOVE" / "▼ BELOW" / "● AT LOCK" • DISTANCE: Percentage distance from lock price. • vs RANGE: Position vs validation range: "IN_RANGE" / "ABOVE" / "BELOW" • VAL TICKS: Validation progress (current/required ticks). 6) REALTIME PREDICTION PANEL Candle prediction engine: • WINNER: Predicted dominant side: "BUYERS" / "SELLERS" / "NEUTRAL" • CONFIDENCE: Prediction confidence percentage. • ACCURACY: Historical prediction accuracy (session-specific). • BUY/SELL PROB: Individual probabilities for each side. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🏷️ SIGNAL LABELS REFERENCE • 🐂 BUYER ENTRY (Green): Confirmed buyer entry signal. Validation complete. • 🐻 SELLER ENTRY (Red): Confirmed seller entry signal. Validation complete. • 🔻 REVERSAL BUY→SELL (Magenta): Reversal from buyer to seller position. • 🔺 REVERSAL SELL→BUY (Cyan): Reversal from seller to buyer position. • ⏹ EXIT → FLAT (Gray): Position exit to flat/neutral state. • ⬆ BUYER STRONGER (Small Green): Lock price updated higher during buyer state. • ⬇ SELLER STRONGER (Small Red): Lock price updated lower during seller state. Display Modes: • Minimal: Icon only (hover for tooltip details) • Normal: Icon + Price level • Detailed: Full information (price, score, grade) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 CHART ELEMENTS VWMA Spectrum Lines Colored gradient lines representing the 10-period VWMA matrix. Color progresses from light blue (fast: 7-period) through purple to orange (slow: 97-period). These act as dynamic support/resistance levels weighted by volume. High Volume Node Lines • Blue Lines: High Buy Volume zones - potential demand areas • Red Lines: High Sell Volume zones - potential supply areas • Yellow Lines: Overlapping zones (buy + sell extremes) - high conflict areas Lock Price Line & Range Band • Dashed Line: Locked price level (green for buyers, red for sellers) • Dotted Lines: Upper/lower bounds of validation range ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ INPUT SETTINGS GUIDE Volume Model • Calculation Method: "Geometry (Candle-Range Split)" for universal compatibility or "Intrabar (Precise)" for accurate buy/sell separation. • Intrabar LTF: Lower timeframe for Intrabar mode (e.g., "1" for 1-minute). Direction Filter • Direction Trigger Angle: Threshold for directional state change (default: 1.5°) • Neutral Reset Angle: Threshold for returning to neutral (default: 0.7°) Testing Filter • Level Proximity (%): How close price must be to "test" a level (default: 0.25%) • Require Wick Touch: If enabled, requires high/low to touch proximity band. Signal Validation • Lock Range (%): Price range for validation (default: 0.5%) • Validation Ticks: Consecutive bars required (default: 3) • Validation Time: Minimum seconds for real-time confirmation (default: 5) • Minimum Hold Bars: Stay in position for at least this many bars (default: 5) • Exit Mode: "Reversal Only" / "Signal Loss" / "Price Stop" • Stop Loss (%): Exit threshold (default: 1.0%) Signal Score Filter • Score Range Minimum: Minimum score for signal generation (default: 10%) • Score Range Maximum: Maximum score threshold (default: 100%) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 USAGE RECOMMENDATIONS 1. Start with Macro mode to see the complete VWMA spectrum, then switch to Micro for cleaner charts. 2. Use Intrabar mode when your broker provides lower timeframe data. 3. Focus on high-grade signals (B+ or better) for higher probability setups. 4. Wait for validation to complete before acting on signals. 5. Use the Lock Price line as your reference for position management. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT NOTES • This indicator is designed for educational and analytical purposes. • Always combine with proper risk management and additional confirmation. • Past performance and signal quality do not guarantee future results. • The prediction accuracy is session-specific and resets on chart reload. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Volume-Based Indicator — Data Granularity & Table Guide 1) Critical warning about data granularity (read first) Important: This indicator is built entirely on volume-derived calculations (volume, volume delta, and related flow metrics). Because of that, its precision is only as good as the granularity and history of the data you feed it. The most granular view is a tick-based interval (e.g., 1T = one trade/tick). If tick-based intervals are not available for your symbol or your plan, the closest time-based approximation is a 1-second chart (1S). If you enable any "high-precision / intrabar" options (anything that relies on the smallest updates), make sure you understand which TradingView plan you are using, because intrabar historical depth (how many bars you can load) varies by plan. More history generally means more stable baselines for volume statistics, regime detection, and long lookback features. Plan-related notes (TradingView) TradingView limits how many intrabar historical bars can be loaded, depending on your plan. The exact limits are defined by TradingView and can change over time, but as of the current documentation, the intrabar limits are: • Basic: 5,000 bars • Essential: 10,000 bars • Plus: 10,000 bars • Premium: 20,000 bars • Expert: 25,000 bars • Ultimate: 40,000 bars Tick charts / tick-based intervals are currently positioned as a feature of professional-tier plans (e.g., Expert/Elite/Ultimate). Availability may also vary by symbol and data feed.
Indicateur Pine Script®
par ata_sabanci
10
SRM Version EMA Buy/Sell V3The Smart Reversal Matrix indicator is designed to identify high-probability market reversal zones by combining Price Action, Momentum Filters (MACD & RSI), and the Price pattern structure. This tool helps traders visualize potential Buy (bullish) and Sell (bearish) turning points with dynamic market structure mapping. It’s suitable for scalpers, swing traders, and day traders who want a clear visual confirmation of reversals in trend direction. ⚠️ Disclaimer This indicator is a technical analysis tool, not financial advice. Always confirm signals with your own strategy and risk management rules before trading live markets. 🔍 How to Use It 1️⃣ Check Market Trend Above EMA 20 → bullish bias Below EMA 20 → bearish bias 2️⃣ Wait for Reversal Signal BUY signal = bullish swing reversal SELL signal = bearish swing reversal 3️⃣ Confirm Candle Strength (Optional) Bar “1” or “2” after signal often gives earliest entry Bar “3-5” useful for pullback entries 4️⃣ Plan Trade Levels Use swing high/low for stop placement Optionally project lines +500 pips / −500 pips for targets (Forex)
Indicateur Pine Script®
par SmartReversalMatrix
Institutional Cycle Intelligence System (Machine Learning) The Institutional Cycle Intelligence System (Machine Learning) represents a paradigmatic shift in the capabilities of retail trading analysis, bridging the substantial divide between standard technical analysis and the rigorous, mathematically intensive domain of quantitative finance. At its core, this system is not merely an indicator but a sophisticated ensemble engine that synthesizes advanced Digital Signal Processing (DSP), spectral analysis, and modern Machine Learning techniques into a singular, cohesive market view. For quantitative analysts and institutional traders, this script serves as a testament to the power of "higher mathematics" applied to the chaotic, non-stationary nature of financial time series data. It moves beyond the lagging nature of time-domain indicators—like moving averages or the RSI—and operates primarily in the frequency domain, attempting to deconstruct price action into its constituent oscillatory components. This approach acknowledges a fundamental truth of market mechanics: that price is a composite signal, a noisy waveform comprised of underlying trends, cyclical harmonics, and stochastic noise. By isolating these components, the system offers a look into the "heartbeat" of market liquidity and institutional accumulation-distribution cycles. The defining characteristic that elevates this system to an institutional grade is its refusal to rely on a single mathematical model. Financial markets are dynamic systems; they shift between trending, mean-reverting, and chaotic regimes. A model that excels in a clean sine-wave market, like a standard cycle, will fail primarily during strong trends or high-volatility shocks. To solve this, the system employs an "Ensemble Architecture," running seven distinct, high-level mathematical models simultaneously. It creates a "committee of experts," where each algorithm analyzes the market through a different mathematical lens—some statistical, some spectral, and some decompositional. However, the true innovation lies in the integration of a Gradient Boosting Machine (GBM). This is where the concept becomes a game-changer for Pine Script development. The system does not merely average these models; it employs a machine learning layer that dynamically optimizes the weight of each model based on its recent predictive performance. It "learns" which mathematical approach is currently syncing best with the market's behavior and amplifies that signal while dampening the others. This is an application of adaptive filtering and optimization theory that is rarely seen outside of proprietary high-frequency trading desks. To understand the gravity of the mathematics involved, one must examine the specific algorithms employed, starting with the Ehlers Bandpass Filter and Hilbert Transform. This component is rooted in electrical engineering and signal processing. The Bandpass filter is designed to reject frequencies outside a specific range, effectively stripping away the high-frequency noise (tick-by-tick randomness) and low-frequency trends (macro-economic drift) to isolate the "tradable" cycle. Once isolated, the script applies the Hilbert Transform, a linear operator that produces the analytic representation of the signal. By converting the real-valued price series into the complex plane (creating real and imaginary components), the system can mathematically calculate the instantaneous phase and amplitude of the cycle. This allows for the precise determination of market turning points without the lag associated with traditional smoothing, effectively solving the "phase delay" problem that plagues standard oscillators. Complementing the classic DSP approach is the MESA (Maximum Entropy Spectral Analysis) model. Standard Fourier analysis assumes that data outside the observation window repeats or is zero, which creates "spectral leakage" and inaccuracies when analyzing short data bursts typical of trading. MESA, however, is based on information theory. It constructs a model that maximizes the entropy (randomness) of the unobserved data, thereby making the fewest assumptions possible about what the market did before or after the sample size. This results in a high-resolution estimation of cycle periods even with limited data points. It is a highly mathematical approach to autoregressive modeling, allowing the system to detect shifting cycle lengths rapidly as market volatility expands or contracts. The system also integrates the Goertzel Algorithm, a method optimized for detecting specific frequency components within a signal. While a Fast Fourier Transform (FFT) scans the entire frequency spectrum, the Goertzel algorithm acts as a matched filter, surgically interrogating the price data for the presence of specific, pre-defined cycle periods (Short, Medium, and Long). It computes the energy or "power" at these specific frequencies. For a quant, this is akin to tuning a radio receiver to listen specifically for the presence of institutional order flow frequencies. If the "power" at the 20-bar cycle is high, the Goertzel component signals that this specific harmonic is currently driving price action. This selective frequency analysis is computationally efficient and provides a direct measurement of cycle strength, distinguishing between a genuine cycle and random market drift. Moving into the realm of non-linear and non-stationary analysis, the system employs Empirical Mode Decomposition (EMD). Developed for analyzing data that is neither linear nor stationary—a perfect description of financial markets—EMD does not assume a fixed basis like sine waves. Instead, it uses a recursive "sifting" process to decompose the price into a finite number of Intrinsic Mode Functions (IMFs). The algorithm identifies local maxima and minima, creates upper and lower envelopes using cubic splines, and subtracts the mean of these envelopes from the data. This process is repeated until true oscillatory modes are extracted. EMD is often referred to as the "Hilbert-Huang Transform" in academic literature and is considered one of the most powerful tools for analyzing natural phenomena. By using EMD, the system can adapt to asymmetric cycles (where the rally is fast and the drop is slow) that linear models like the Fourier transform would misinterpret. The inclusion of Singular Spectrum Analysis (SSA) further deepens the mathematical rigor. SSA is a nonparametric spectral estimation method that combines elements of classical time series analysis, multivariate geometry, and signal processing. Conceptually, it involves embedding the time series into a vector space to form a "trajectory matrix" and then performing a decomposition (similar to Principal Component Analysis or SVD) to separate the series into independent components representing trend, oscillatory signals, and noise. While Pine Script limits the full matrix algebra required for complete SVD, the implementation here utilizes heuristic approximations to achieve the decompositional effect. This allows the system to filter out noise "subspaces," reconstructing a signal that retains the structural integrity of the market movement while discarding the stochastic "fuzz" that leads to false signals. Wavelet Analysis is utilized to address the "Heisenberg Uncertainty Principle" of signal processing, which states one cannot know the precise frequency and precise time of an event simultaneously. While Fourier analysis loses time resolution to gain frequency resolution, Wavelets use "short" basis functions for high frequencies and "long" basis functions for low frequencies. This Multi-Resolution Analysis (MRA) allows the system to see the forest and the trees simultaneously. It decomposes price energy across different scales, identifying whether volatility is driven by short-term microstructure noise or long-term structural shifts. The calculation of "Wavelet Energy" within the script provides a distinct metric of market state, often preceding explosive moves when energy clusters across multiple timescales. Finally, the statistical backbone is provided by Autocorrelation. This is the mathematical study of self-similarity. It calculates the correlation of the price series with a lagged version of itself. By scanning through various lags (periods), the algorithm identifies the time shift that produces the highest correlation coefficient. If price correlates highly with itself from 20 bars ago, it confirms a 20-bar cycle memory in the market. This is a purely statistical validation method that serves as a "sanity check" for the more complex spectral models, ensuring that the detected cycles are statistically significant and not artifacts of curve fitting. The culmination of these seven mathematical titans is the Gradient Boosting Machine (GBM) optimization layer. In the context of Pine Script, this is a revolutionary concept. Traditional indicators have static parameters; they calculate the same way in a crash as they do in a bull run. This system, however, utilizes a simplified machine learning loop. It calculates the "loss" or error of each of the seven models relative to recent price returns. Using a gradient descent-inspired approach, it updates a weight vector, assigning higher influence to models that have been predictive in the recent lookback window and penalizing those that have failed. If the market enters a choppy period where trends vanish, the EMD and Wavelet models (which handle noise well) might gain dominance, while the Trend-following components are suppressed. If the market enters a clean harmonic swing, the Ehlers and Goertzel models will take the lead. This dynamic adaptation makes the system "alive," capable of morphing its internal logic to match the current market regime. For the quantitative analyst, this system offers a robust framework for algorithmic strategy development. It provides "feature engineering" out of the box—transforming raw price data into normalized, de-trended, and phase-aligned oscillators. The composite signal is not just a line on a chart; it is a probability-weighted vector of market state. The "Zero-Lag" nature of the phase calculations allows for entry and exit precision that moving averages mathematically cannot provide. Furthermore, the decomposition of market movements into Short, Medium, and Long cycles allows for fractal analysis—identifying moments of "Constructive Interference" where all three cycles align in phase, creating high-probability, high-velocity trade setups often associated with institutional order execution. In conclusion, the Institutional Cycle Intelligence System (Machine Learning) is a tour de force of applied mathematics and computational finance. It transcends the limitations of standard technical analysis by treating the market not as a visual pattern, but as a complex signal processing problem. By leveraging the orthogonality of different mathematical approaches—spectral, statistical, and decompositional—and fusing them through an adaptive machine learning mechanism, it offers a level of insight typically reserved for hedge funds with dedicated quant teams. It demonstrates that Pine Script is no longer just a scripting language for drawing lines, but a viable environment for implementing complex, adaptive, and mathematically rigorous trading systems. It is a tool for those who understand that in the financial markets, the edge lies not in predicting the future, but in deeply understanding the mathematical structure of the present.
Indicateur Pine Script®
par jaydesaigu
Forward Money Index x Financial Liquidity Proxy Skylark Digital Assets Forward Money Index x Financial Liquidity Proxy is a two-layer liquidity dashboard designed to show broad, slow-moving liquidity conditions alongside a smoothed forward-conditions signal that can be shifted ahead in time for visual comparison. At its core, the chart has three roles: Baseline Liquidity Regime (FLP – Monthly, Confirmed) The primary line represents a consolidated view of monthly liquidity conditions across a diversified set of markets. It’s constructed to behave like a regime gauge—rising during periods where financial conditions are broadly improving and falling during periods where conditions are tightening. Because it uses confirmed monthly values, it avoids the “mid-month repaint” effect and is intended to be interpreted as a stable, end-of-month state. Trend Filter / Regime Smoother (FLP EMA) The FLP EMA is a slower companion line that reduces month-to-month noise and helps define whether liquidity is structurally expanding or contracting. In practice, this line is the “signal stabilizer”: it makes longer-cycle transitions clearer, reduces overreaction to single-month spikes, and helps you distinguish between temporary wobble vs true regime shift. Forward Conditions Overlay (Forward Money Index – Displayed as EMA3 & EMA6 only) The forward overlay is intentionally not shown in its raw form. Instead, it is used internally and then displayed only through two smooth versions: a short smoothing (3-month EMA), labeled as the “Forward Money Index (FMI)” in the settings, and a medium smoothing (6-month EMA), shown as a dotted companion line. This creates a clean “fast vs slow” forward-conditions pair. The short version reacts sooner and highlights turning points earlier; the longer version confirms whether the shift is persistent. When both are rising together, it suggests strengthening conditions; when the shorter line rolls over and converges down toward the longer line, it indicates that the impulse is fading even if conditions remain elevated. Lead / Offset behavior (visual forecasting lens) The FMI pair can be shifted forward by a chosen number of months, allowing you to compare whether shifts in forward conditions tend to precede changes in the broader liquidity proxy. This is not presented as a deterministic forecast; it’s a visual tool to examine phase relationships across cycles. Different environments can compress or expand lead times, so the offset is best treated as a “lens” rather than a fixed law. Midline reference A 50 midline provides a neutral reference level so both the proxy and the forward overlay can be interpreted in simple regime terms: above the midline generally corresponds to more favorable conditions, while below corresponds to tighter or weaker conditions. Why the smoothing matters By plotting only the 3M and 6M EMA versions of the forward signal, the indicator avoids overemphasizing short-term noise and instead focuses on structural turns—the part of the signal that tends to matter most for multi-month regime interpretation. This makes it useful for: identifying early inflections that may precede broader liquidity shifts, confirming whether changes are impulsive (fast line leading) or durable (both lines aligned), and tracking the decay of an impulse when the fast line begins to fade toward the slow line. Overall, the chart is meant to function as a monthly macro dashboard: FLP shows where broad liquidity conditions are now, FLP EMA shows the underlying trend regime, and the FMI EMA pair provides a smoothed forward-conditions overlay to help evaluate whether the next regime transition may already be forming.
Indicateur Pine Script®
par Skylark_Digital_Assets
AlgoIndex - Levels & Setup PlannerIntroducing a manual trading planner designed to streamline your trading strategy. The tool allows you to identify up to 12 key levels - both lines and zones highlight a critical level, and construct a comprehensive trade setup, including entry, stop, target, and risk/reward metrics, tailored to your selected trading session. It also features optional JSON alerts for significant level events and trade setups. Full Description The AlgoIndex - Levels and Setup Planner is an innovative manual planning indicator that enables traders to systematically organize their key price levels and formulate a complete trading idea prior to executing trades. This script is released as a Protected (closed-source) tool: while it is accessible to all users, the underlying source code remains confidential. Key Features: 1. Levels Mapping (Planner): - Offers 6 Resistance levels (R1-R6) and 6 Support levels (S1-S6). - Each level can represent either a specific price point (line) or a broader price zone (high/low). - Inverted zone inputs are automatically adjusted for consistency. - Includes an optional Critical level, which can be customized with unique styling and alerts. 2. Trading Setup Builder: - Establish the trade Direction (Long or Short). - Define Entry points as either a precise level or an entry zone. - Specify Stop and Target areas. - Visualize risk/reward (R:R) metrics using the symbol’s point value. - The layout features clear entry, stop, and target lines, as well as a designated trade box. 3. Session Planning: - Select from various trading sessions: New York AM, New York PM, London, Asia, or a Customized time window. - The trade plan gets visually represented within the designated session window in Eastern Time. 4. Alerts (Optional): - Informational Alerts: These triggers notify users of level touch or break events for support/resistance and critical levels; they do not execute trades. - Trade-Entry Alerts (Webhook-Ready JSON): Leveraging built-in entry logic, these alerts function in two distinct modes: - INSTANT Mode (No Confirmation): This mode activates at the close of a bar that breaches the entry level (indicating a breakout) or surpasses the zone boundary (signaling a zone exit) in the intended trade direction. - CONFIRMATION Mode: In this scenario, the script will await the completion of predetermined confirmation logic before sending the entry alert. - Breakout Strategy: This involves a breakout past the entry level, followed by a retest and stabilization in the trade's favor. - Zone Strategy: This focuses on a rejection at the entry zone, followed by a continuation in the desired trade direction. To utilize webhooks, set a TradingView alert on this script with the condition “Any alert() function call” and input your designated webhook URL. Important Notes: This tool serves as a comprehensive planning and alerting device, yet it does not ensure trading success. Traders are advised to validate levels, manage their risk effectively, and test alerts on their preferred timeframes before relying exclusively on automated systems.
Indicateur Pine Script®
par MyAlgoIndex
2
Opening Range BoxOPENING RANGE BOX + LEVELS (RTH) OVERVIEW This indicator draws the Opening Range for the U.S. Regular Trading Hours session starting at 9:30 AM New York time. It plots the Opening Range High, Low, and Midpoint, and can extend those levels for the rest of the session. It also displays the Opening Range size in points and ticks. WHAT IT DRAWS • Opening Range box for the first N minutes of RTH (ex: 5, 10, 15) • OR High (ORH) • OR Low (ORL) • OR Midline (midpoint of ORH/ORL) • Opening Range value label (range in points + ticks) KEY FEATURES • Time-anchored drawings (bar_time) so levels stay accurate on any intraday timeframe • Configurable Opening Range length in minutes • Configurable box fill/border colors • Independent styling for OR High / OR Low / Midline (color, width, line style) • Line extension modes: Line extension modes - To RTH Close - Right Forever - For N Minutes - None Optional label placement to the LEFT of the Opening Range so it doesn’t block new candles Option to keep previous sessions’ Opening Ranges visible for context BEST FOR • Futures: ES / NQ / MNQ (and other RTH-based products) • Intraday stocks and ETFs • OR breakout, rejection/fade, and mean reversion workflows NOTES • Intended for intraday charts • Opening Range is calculated strictly inside the selected time window (no extra bars) • Session is America/New_York, 09:30–16:00
Indicateur Pine Script®
par andrefox333
ETH Vol Breakout - NO ERROR VERSIONThis strategy examines the impact of Eth.d Vol on Ethereum price. Looking at ETHDVOL -60 (Support) and 78 (Resistance)—tell a very specific story - analyzing a High Volatility Regime. The support level around 60 and resistance 78, tend to only occurs during Bull Runs or Market Crashes. In the "Quiet Years", ETHDVOL rarely touched 60, let alone 78. Trying to develop a strategy that is perfectly tuned for a Bull Market or a Crisis, 1. The "60 Floor" (Support) Context: In a high-volatility regime, when ETHDVOL drops to 60, it indicates the market has "cooled off" just enough to reload leverage. Historical Behavior (2021-2022 Context): July 2021: After the May crash, ETHDVOL compressed down and found support at ~65. Result: This marked the local bottom before the massive run-up to the November All-Time Highs ($4,800). Outcome: Strong Buy Signal (Trend Continuation). January 2022: ETHDVOL dropped to ~58-60 while price was hovering around $3,000. Result: The floor broke, volatility spiked to 80+, and price crashed to $2,200. Outcome: Trap / Warning Signal. The Pattern: When Volatility hits 60 (Support), price is usually Coiling. If Price is trending UP: This is a "dip buy" opportunity. The coil resolves upwards. If Price is trending DOWN: This is the "calm before the flush." The coil resolves downwards. 2. The "78 Ceiling" (Resistance) Context: 78 is an extreme reading. It represents panic (bottom) or euphoria (blow-off top). Historical Behavior: May 2021 (The Crash): ETHDVOL smashed through 78, peaking at 100+. Price Action: Price collapsed from $4,000 to $1,700. Signal: If Vol > 78, you are in a capitulation event. Buying spot here is usually profitable within 3-6 months (buying the blood). November 2022 (FTX Collapse): ETHDVOL spiked to ~75-80. Price Action: ETH hit $1,100 (Cycle Lows). Signal: Hitting 78 marked the Absolute Bottom. November 2021 (The Top): Interestingly, at the $4,800 price peak, Volatility was NOT at 78. It was lower (~60-70). Insight: Bull market tops often happen on lower volatility than bear market bottoms.
Stratégie Pine Script®
par chart_inator