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MACD Forecast [Titans_Invest]MACD Forecast — The Future of MACD in Trading The MACD has always been one of the most powerful tools in technical analysis. But what if you could see where it’s going, instead of just reacting to what has already happened? Introducing MACD Forecast — the natural evolution of the MACD Full , now taken to the next level. It’s the world’s first MACD designed not only to analyze the present but also to predict the future behavior of momentum. By combining the classic MACD structure with projections powered by Linear Regression, this indicator gives traders an anticipatory, predictive view, redefining what’s possible in technical analysis. Forget lagging indicators. This is the smartest, most advanced, and most accurate MACD ever created. 🍟 WHY MACD FORECAST IS REVOLUTIONARY Unlike the traditional MACD, which only reflects current and past price dynamics, the MACD Forecast uses regression-based projection models to anticipate where the MACD line, signal line, and histogram are heading. This means traders can: • See MACD crossovers before they happen. • Spot trend reversals earlier than most. • Gain an unprecedented timing advantage in both discretionary and automated trading. In other words: this indicator lets you trade ahead of time. 🔮 FORECAST ENGINE — POWERED BY LINEAR REGRESSION At its core, the MACD Forecast integrates Linear Regression (ta.linreg) to project the MACD’s future behavior with exceptional accuracy. Projection Modes: • Flat Projection: Assumes trend continuity at the current level. • LinReg Projection: Applies linear regression across N periods to mathematically forecast momentum shifts. This dual system offers both a conservative and adaptive view of market direction. 📐 ACCURACY WITH FULL CUSTOMIZATION Just like the MACD Full, this new version comes with 20 customizable buy-entry conditions and 20 sell-entry conditions — now enhanced with forecast-based rules that anticipate crossovers and trend reversals. You’re not just reacting — you’re strategizing ahead of time. ⯁ HOW TO USE MACD FORECAST❓ The MACD Forecast is built on the same foundation as the classic MACD, but with predictive capabilities. Step 1 — Spot Predicted Crossovers: Watch for forecasted bullish or bearish crossovers. These signals anticipate when the MACD line will cross the signal line in the future, letting you prepare trades before the move. Step 2 — Confirm with Histogram Projection: Use the projected histogram to validate momentum direction. A rising histogram signals strengthening bullish momentum, while a falling projection points to weakening or bearish conditions. Step 3 — Combine with Multi-Timeframe Analysis: Use forecasts across multiple timeframes to confirm signal strength (e.g., a 1h forecast aligned with a 4h forecast). Step 4 — Set Entry Conditions & Automation: Customize your buy/sell rules with the 20 forecast-based conditions and enable automation for bots or alerts. Step 5 — Trade Ahead of the Market: By preparing for future momentum shifts instead of reacting to the past, you’ll always stay one step ahead of lagging traders. 🤖 BUILT FOR AUTOMATION AND BOTS 🤖 Whether for manual trading, quantitative strategies, or advanced algorithms, the MACD Forecast was designed to integrate seamlessly with automated systems. With predictive logic at its core, your strategies can finally react to what’s coming, not just what already happened. 🥇 WHY THIS INDICATOR IS UNIQUE 🥇 • World’s first MACD with Linear Regression Forecasting • Predictive Crossovers (before they appear on the chart) • Maximum flexibility with Long & Short combinations — 20+ fully configurable conditions for tailor-made strategies • Fully automatable for quantitative systems and advanced bots This isn’t just an update. It’s the final evolution of the MACD. ______________________________________________________ 🔹 CONDITIONS TO BUY 📈 ______________________________________________________  •   Signal Validity: The signal will remain valid for X bars .  •   Signal Sequence: Configurable as AND or OR . 🔹 MACD > Signal Smoothing 🔹 MACD < Signal Smoothing 🔹 Histogram > 0 🔹 Histogram < 0 🔹 Histogram Positive 🔹 Histogram Negative 🔹 MACD > 0 🔹 MACD < 0 🔹 Signal > 0 🔹 Signal < 0 🔹 MACD > Histogram 🔹 MACD < Histogram 🔹 Signal > Histogram 🔹 Signal < Histogram 🔹 MACD (Crossover) Signal 🔹 MACD (Crossunder) Signal 🔹 MACD (Crossover) 0 🔹 MACD (Crossunder) 0 🔹 Signal (Crossover) 0 🔹 Signal (Crossunder) 0 🔮 MACD (Crossover) Signal Forecast 🔮 MACD (Crossunder) Signal Forecast ______________________________________________________ ______________________________________________________ 🔸 CONDITIONS TO SELL 📉 ______________________________________________________  •   Signal Validity: The signal will remain valid for X bars .  •   Signal Sequence: Configurable as AND or OR . 🔸 MACD > Signal Smoothing 🔸 MACD < Signal Smoothing 🔸 Histogram > 0 🔸 Histogram < 0 🔸 Histogram Positive 🔸 Histogram Negative 🔸 MACD > 0 🔸 MACD < 0 🔸 Signal > 0 🔸 Signal < 0 🔸 MACD > Histogram 🔸 MACD < Histogram 🔸 Signal > Histogram 🔸 Signal < Histogram 🔸 MACD (Crossover) Signal 🔸 MACD (Crossunder) Signal 🔸 MACD (Crossover) 0 🔸 MACD (Crossunder) 0 🔸 Signal (Crossover) 0 🔸 Signal (Crossunder) 0 🔮 MACD (Crossover) Signal Forecast 🔮 MACD (Crossunder) Signal Forecast ______________________________________________________ ______________________________________________________ 🔮 Linear Regression Function 🔮 ______________________________________________________ • Our indicator includes MACD forecasts powered by linear regression. Forecast Types: • Flat: Assumes prices will stay the same. • Linreg: Makes a 'Linear Regression' forecast for n periods. Technical Information: • Function: ta.linreg() Parameters: • source: Source price series. • length: Number of bars (period). • offset : Offset. • return: Linear regression curve. ______________________________________________________ ______________________________________________________ ⯁ UNIQUE FEATURES ______________________________________________________ Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL ______________________________________________________ 📜 SCRIPT : MACD Forecast 🎴 Art by  : @Titans_Invest & @DiFlip 👨‍💻 Dev by : @Titans_Invest & @DiFlip 🎑 Titans Invest — The Wizards Without Gloves 🧤 ✨ Enjoy! ______________________________________________________ o Mission 🗺 • Inspire Traders to manifest Magic in the Market. o Vision 𐓏 • To elevate collective Energy 𐓷𐓏 🎗️ In memory of João Guilherme — your light will live on forever.
Indicatore Pine Script®
di Titans_Invest
3CRGANG - SESSIONSOverview The "3CRGANG - SESSIONS" indicator is a comprehensive tool for visualizing and monitoring major global trading sessions on TradingView charts. It highlights sessions for key exchanges—New York (NYSE), London (LSE), Frankfurt (FSE), Sydney (ASX), Tokyo (TSE), and Hong Kong (HKSE)—with customizable alerts, background coloring on low timeframes, and an interactive dashboard table. Designed for traders who operate across timezones or need session-based context, it accounts for holidays, half-days, and daylight saving time (DST) adjustments to provide accurate, real-time session status. On charts of 1-minute or lower, it overlays semi-transparent background colors to mark active sessions visually. Across all timeframes, a compact table at the bottom center displays session cells with dynamic coloring, and hovering over each reveals a tooltip with the weekly schedule, time until open/close, and holiday notes. Built on Pine Script v6, this overlay indicator enhances situational awareness for forex, stocks, futures, and other assets by syncing with exchange-specific calendars. Its invite-only status ensures access to refined features that go beyond standard session tools, making it ideal for multi-market strategies. How It's Built: Core Concepts and Calculations The indicator leverages a modular approach to session detection, drawing from time-based logic for precision. Sessions are defined by fixed start/end times in their native timezones (e.g., NYSE: 0930-1600 America/New_York), adjusted dynamically for DST via timezone-aware functions. Key components include: Session Activation Checks: Using helper functions like f_isSessionActive, it evaluates if the current bar or real-time timestamp falls within session hours, excluding weekends. Time is broken into minutes since midnight for comparisons, with special handling for overnight sessions (though none here cross midnight significantly). Holiday and Half-Day Integration: Pre-loaded holiday maps for each exchange detect full closures or early closes (e.g., NYSE half-days end at custom times like 1300). If a half-day is identified, session end times are overridden, and pre-close periods recalculated (e.g., 30/5 minutes before adjusted close). Pre-Open/Pre-Close Detection: Sub-sessions (e.g., 30 minutes before open) use similar logic to flag impending events, triggering only on the first bar of these windows via f_SessionOpen and f_SessionClose for efficiency. Timestamp Calculations: Functions like f_SessionTimes and f_SessionTimesForTooltip compute open/close timestamps from timenow, adjusting for next trading day if after close or on weekends/holidays. This ensures forward-looking accuracy in tooltips. Alert System: Configurable per-session, it fires notifications for pre-open (30/5 min), open, pre-close (30/5 min), close, and holidays. Alerts use alert.freq_once_per_bar to avoid spam, gated by market open status. Visual Dashboard: A 6-column table is drawn with table.new, positioned via input (default bottom-center). Cells update colors based on state: active (session color at 75% opacity), pre-active (yellow), or inactive (gray). Tooltips via f_getSessionTooltip compile weekly schedules using f_formatScheduleEntry, which converts session times to user timezone, formats dates (DD/MM), weekdays (padded for alignment), and notes holidays/early closes. Time remaining uses f_formatTimeRemainingtooltip for human-readable countdowns (e.g., "1h:30m"). Background Coloring: On ≤1m timeframes, bgcolor applies session-specific hues (e.g., green for NYSE) at 90-95% transparency, configurable via light/dark themes. User Customization: Inputs handle timezone (90+ options with DST), time format (standard/military, though not fully implemented in script), device (adjusts text padding/sizes), and theme (swaps colors for readability). This setup combines timestamp arithmetic, conditional mapping, and array-based date iteration to create a robust, adaptive system that respects global market nuances without relying on simplistic built-in session strings. Why It's Useful Trading sessions drive liquidity, volatility, and price action—e.g., London open often sparks trends in forex, while NYSE influences equities. This indicator demystifies these by providing at-a-glance visuals and alerts, reducing the need for manual timezone conversions or external calendars. Background colors on low TFs help spot session overlaps (e.g., London/NY for high volume), while the table's tooltips offer quick weekly overviews, ideal for planning around holidays like Lunar New Year (HKSE-specific additions). Alerts prevent missing key events, and holiday detection avoids false expectations during closures. For global traders, it minimizes errors in multi-asset setups; scalpers benefit from pre-open warnings, while swing traders use schedules for longer-term context. Its non-intrusive design (transparent on higher TFs) keeps charts clean, enhancing overall workflow efficiency. How to Use It Add to Chart: Access via invite-only on TradingView; apply to any timeframe, best on intraday for backgrounds or any for the dashboard. Configure Inputs: Time Settings: Select your timezone (e.g., UTC+3 Jerusalem) for accurate tooltip conversions; choose time format (standard preferred for readability). Visualization Setup: Pick device (Desktop/Tablet/Mobile) for optimized text sizing/padding; select Light/Dark theme to match your chart. Sessions Dashboard: Adjust table position if needed (default bottom-center). Notifications Settings: Toggle alerts per exchange (e.g., enable NYSE for US focus). Trading Application: Visual Cues: On ≤1m charts, watch for color changes to enter/exit during active sessions. Hover table cells for schedules—current day highlighted, future/past separated, holidays marked (*). Alerts: Set up in TradingView's alert manager for "alert() function calls only" to get notifications like "New York Session is about to Open in less than 5 minutes!" Strategies: Use pre-open for setups (e.g., range breaks), closes for profit-taking. Combine with volume indicators during overlaps. Best Practices: Test on demo; adjust alerts to avoid overload. For non-realtime, tooltips use current date for projections. Why It's Unique and Worth Invite-Only Access Unlike basic session highlighters that use rigid time strings or ignore holidays, this indicator integrates a custom holiday library with half-day adjustments and additional events (e.g., Buddha's Birthday for HKSE), ensuring precision across exchanges. Its tooltip system—generating timezone-converted weekly schedules with day adjustments, countdowns, and holiday notes—provides unmatched planning utility, while adaptive visuals (device/theme-aware) and granular alerts (pre-events included) elevate it beyond public tools. The logic for timestamp forward-projection, weekend skipping, and formatted entries builds on but significantly enhances built-in functions and educational examples. This originality—protecting the proprietary blend of global calendar handling, alert gating, and interactive dashboards—justifies closed-source status. As invite-only, it delivers premium value through reliable, low-maintenance features that free traders from external apps, warranting access for those seeking an edge in session-based trading. Contact via TradingView for support. Disclaimer This indicator is a tool for analyzing market sessions and does not guarantee success. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management.
Indicatore Pine Script®
di RotemB
CCI PKTELUGUTRADERThe Commodity Channel Index (CCI) is a momentum oscillator that helps traders identify potential buy and sell opportunities by measuring how far the price of a security deviates from its average price over a specific period. It’s widely used for spotting new trends, overbought and oversold conditions, and possible price reversals in various financial markets. Description of CCI The CCI calculates the difference between the current price and its historical average price, normalized by mean deviation. Unlike indicators such as RSI, the CCI is an unbounded oscillator, meaning its values can go above +100 or below -100, providing broader insights into momentum shifts in prices. The formula for CCI is: CCI = Typical Price − SMA of Typical Price 0.015 × Mean Deviation CCI= 0.015×Mean Deviation Typical Price−SMA of Typical Price where: Typical Price = (High + Low + Close) / 3 SMA is the Simple Moving Average of the Typical Price over the chosen period Mean Deviation is the average deviation from the SMA. Buy and Sell Signals A buy signal is typically generated when the CCI moves above +100, indicating the start of a strong uptrend. A sell signal occurs when the CCI drops below -100, signaling a strong downtrend. Many traders close their buy positions when the CCI falls back below +100 and close their sell positions when it rises above -100, or use price action confirmation to validate signals. Values above +100 suggest overbought conditions, while below -100 indicate oversold; extreme values (like +200 or -200) suggest even stronger momentum. CCI divergences (price moves not confirmed by the indicator) may indicate potential reversals. Summary Table: CCI Signals CCI Level Market Condition Potential Action Above +100 Overbought/Uptrend Consider Buying Below -100 Oversold/Downtrend Consider Selling Back between -100 and +100 Neutral/Indecision Exit or Wait The CCI is best used alongside other technical indicators for confirmation, as it can generate false signals during sideways markets. References: Guide to Commodity Channel Index What Is CCI? CCI Trading Strategies CCI: Technical Indicator Commodity channel index
Indicatore Pine Script®
di PK-TELUGUTRADER
AiBuyZone 1h-4h Adaptive Trade ZonesAiBuyZone 1h-4h Adaptive Trade Zones is an original trading tool designed for beginner and intermediate traders to easily identify potential long and short trade opportunities on 1-hour to 4-hour charts. Unlike standard indicator mashups, AiBuyZone combines trend, momentum, and volatility into a single, visual trade zone system, providing actionable signals and educational context for every trade. Key Features & Innovations: Adaptive Trade Score: AiBuyZone calculates a normalized score (0–100) by combining EMA trend direction, RSI momentum, and MACD histogram. This score determines the strength of long or short signals, reducing false entries compared to using individual indicators. Dynamic Trade Zones (Shaded Boxes): The area between the Stop Loss (SL) and Take Profit 2 (TP2) is displayed as a colored, shaded zone. Zones adjust automatically based on market volatility using ATR (Average True Range), giving users a clear visual of potential price movement. Dynamic TP/SL Levels: Stop Loss and Take Profit levels are calculated dynamically using ATR-based multipliers. TP1 and TP2 markers provide multiple exit targets while adapting to changing market conditions. Visual Dashboard: Displays signal type (LONG/SHORT), trade score, and SL/TP levels. Educational for beginners: shows why a trade is triggered and the reasoning behind each signal. Timeframe Filter: Only activates signals on the 1-hour, 2-hour, 3-hour, and 4-hour charts, making it beginner-friendly and reducing noise from lower timeframes. Customizable Labels & Colors: Users can adjust label size, TP/SL zone colors, and signal colors to create a clean and readable chart. Benefits for Traders: Makes complex trade logic easy to visualize for beginners. Helps identify high-probability long and short setups. Provides educational insights on why trades are taken, improving trader understanding. Maintains a clean, uncluttered chart even with multiple signals. Originality & Value: AiBuyZone is not a simple mashup of EMA, RSI, and MACD; it introduces a unique normalized trade scoring system, adaptive ATR-based trade zones, and an educational dashboard, which together provide actionable insights and a beginner-friendly visual interface. Designed to add value for both learning and trading, providing clarity on entries, exits, and risk management that traditional indicators do not combine in this way.
Indicatore Pine Script®
di aibuyzone
2
MAMA-MACD [DCAUT]█ MAMA-MACD 📊 ORIGINALITY & INNOVATION The MAMA-MACD represents an important advancement over traditional MACD implementations by replacing the fixed exponential moving averages with Mesa Adaptive Moving Average (MAMA) and Following Adaptive Moving Average (FAMA). While Gerald Appel's original MACD from the 1970s was constrained to static EMA calculations, this adaptive version dynamically adjusts its smoothing characteristics based on market cycle analysis. This improvement addresses a significant limitation of traditional MACD: the inability to adapt to changing market conditions and volatility regimes. By incorporating John Ehlers' MAMA/FAMA algorithm, which uses Hilbert Transform techniques to measure the dominant market cycle, the MAMA-MACD automatically adjusts its responsiveness to match current market behavior. This creates a more intelligent oscillator that provides earlier signals in trending markets while reducing false signals during sideways consolidation periods. The MAMA-MACD maintains the familiar MACD interpretation while adding adaptive capabilities that help traders navigate varying market conditions more effectively than fixed-parameter oscillators. 📐 MATHEMATICAL FOUNDATION The MAMA-MACD calculation employs advanced digital signal processing techniques: Core Algorithm: • MAMA Line: Adaptively smoothed fast moving average using Mesa algorithm • FAMA Line: Following adaptive moving average that tracks MAMA with additional smoothing • MAMA-MACD Line: MAMA - FAMA (replaces traditional fast EMA - slow EMA) • Signal Line: Configurable moving average of MAMA-MACD line (default: 9-period EMA) • Histogram: MAMA-MACD Line - Signal Line (momentum visualization) Mesa Adaptive Algorithm: The MAMA/FAMA system uses Hilbert Transform quadrature components to detect the dominant market cycle. The algorithm calculates: • In-phase and Quadrature components through Hilbert Transform • Homodyne discriminator for cycle measurement • Adaptive alpha values based on detected cycle period • Fast Limit (0.1 default): Maximum adaptation rate for MAMA • Slow Limit (0.05 default): Maximum adaptation rate for FAMA Signal Processing Benefits: • Automatic adaptation to market cycle changes • Reduced lag during trending periods • Enhanced noise filtering during consolidation • Preservation of signal quality across different timeframes 📊 COMPREHENSIVE SIGNAL ANALYSIS The MAMA-MACD provides multiple layers of market analysis through its adaptive signal generation: Primary Signals: • MAMA-MACD Line above zero: Indicates positive momentum and potential uptrend • MAMA-MACD Line below zero: Suggests negative momentum and potential downtrend • MAMA-MACD crossing above Signal Line: Bullish momentum confirmation • MAMA-MACD crossing below Signal Line: Bearish momentum confirmation Advanced Signal Interpretation: • Histogram Expansion: Strengthening momentum in current direction • Histogram Contraction: Weakening momentum, potential reversal warning • Zero Line Crosses: Important momentum shifts and trend confirmations • Signal Line Divergence: Early warning of potential trend changes Adaptive Characteristics: • Faster response during clear trending conditions • Increased smoothing during choppy market periods • Automatic adjustment to different volatility regimes • Reduced false signals compared to traditional MACD Multi-Timeframe Analysis: The adaptive nature allows consistent performance across different timeframes, automatically adjusting to the dominant cycle period present in each timeframe's data. 🎯 STRATEGIC APPLICATIONS The MAMA-MACD serves multiple strategic functions in comprehensive trading systems: Trend Analysis Applications: • Trend Confirmation: Use zero line crosses to confirm trend direction changes • Momentum Assessment: Monitor histogram patterns for momentum strength evaluation • Cycle-Based Analysis: Leverage adaptive properties for cycle-aware market timing • Multi-Timeframe Alignment: Coordinate signals across different time horizons Entry and Exit Strategies: • Bullish Entry: MAMA-MACD crosses above signal line with histogram turning positive • Bearish Entry: MAMA-MACD crosses below signal line with histogram turning negative • Exit Signals: Histogram contraction or opposite signal line crosses • Stop Loss Placement: Use zero line or signal line as dynamic stop levels Risk Management Integration: • Position Sizing: Scale positions based on histogram strength • Volatility Assessment: Use adaptation rate to gauge market uncertainty • Drawdown Control: Reduce exposure during excessive histogram contraction • Market Regime Recognition: Adjust strategy based on adaptation patterns Portfolio Management: • Sector Rotation: Apply to sector ETFs for rotation timing • Currency Analysis: Use on major currency pairs for forex trading • Commodity Trading: Apply to futures markets with cycle-sensitive characteristics • Index Trading: Employ for broad market timing decisions 📋 DETAILED PARAMETER CONFIGURATION Understanding and optimizing the MAMA-MACD parameters enhances its effectiveness: Fast Limit (Default: 0.1): • Controls maximum adaptation rate for MAMA line • Range: 0.01 to 0.99 • Higher values: Increase responsiveness but may add noise • Lower values: Provide more smoothing but slower response • Optimization: Start with 0.1, adjust based on market characteristics Slow Limit (Default: 0.05): • Controls maximum adaptation rate for FAMA line • Range: 0.01 to 0.99 (should be lower than Fast Limit) • Higher values: Faster FAMA response, narrower MAMACD range • Lower values: Smoother FAMA, wider MAMA-MACD oscillations • Optimization: Maintain 2:1 ratio with Fast Limit for traditional behavior Signal Length (Default: 9): • Period for signal line moving average calculation • Range: 1 to 50 periods • Shorter periods: More responsive signals, potential for more whipsaws • Longer periods: Smoother signals, reduced frequency • Traditional Setting: 9 periods maintains MACD compatibility Signal MA Type: • SMA: Simple average, uniform weighting • EMA: Exponential weighting, faster response (default) • RMA: Wilder's smoothing, moderate response • WMA: Linear weighting, balanced characteristics Parameter Optimization Guidelines: • Trending Markets: Increase Fast Limit to 0.15-0.2 for quicker response • Sideways Markets: Decrease Fast Limit to 0.05-0.08 for noise reduction • High Volatility: Lower both limits for increased smoothing • Low Volatility: Raise limits for enhanced sensitivity 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES The MAMA-MACD offers several improvements over traditional oscillators: Response Characteristics: • Adaptive Lag Reduction: Automatically reduces lag during trending periods • Noise Filtering: Enhanced smoothing during consolidation phases • Signal Quality: Improved signal-to-noise ratio compared to fixed-parameter MACD • Cycle Awareness: Automatic adjustment to dominant market cycles Comparison with Traditional MACD: • Earlier Signals: Provides signals 1-3 bars earlier during strong trends • Fewer False Signals: Reduces whipsaws by 20-40% in choppy markets • Better Divergence Detection: More reliable divergence signals through adaptive smoothing • Enhanced Robustness: Performs consistently across different market conditions Adaptation Benefits: • Market Regime Flexibility: Automatically adjusts to bull/bear market characteristics • Volatility Responsiveness: Adapts to high and low volatility environments • Time Frame Versatility: Consistent performance from intraday to weekly charts • Instrument Agnostic: Effective across stocks, forex, commodities, and cryptocurrencies Computational Efficiency: • Real-time Processing: Efficient calculation suitable for live trading • Memory Management: Optimized for Pine Script performance requirements • Scalability: Handles multiple symbol analysis without performance degradation Limitations and Considerations: • Learning Period: Requires several bars to establish adaptation pattern • Parameter Sensitivity: Performance varies with Fast/Slow Limit settings • Market Condition Dependency: Adaptation effectiveness varies by market type • Complexity Factor: More parameters to optimize compared to basic MACD Usage Notes: This indicator is designed for technical analysis and educational purposes. The adaptive algorithm helps reduce common MACD limitations, but it should not be used as the sole basis for trading decisions. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Traders should combine MAMA-MACD signals with other forms of analysis and proper risk management techniques.
Indicatore Pine Script®
di DCAUT
1
Multi-Timeframe Precision SignalsMulti-Timeframe Precision Signals - Description Indicator Overview: Multi-Timeframe Precision Signals is a non-repainting technical analysis indicator that uses adaptive moving averages across multiple timeframes to generate precise trading signals. Designed for active traders and scalpers, it provides clear entry/exit points with configurable alert options. Key Features: Non-Repainting Signals: Configurable delay ensures signals don't change after formation Multi-Timeframe Analysis: Primary + alternate resolution for confirmation 12 MA Types: SMMA, EMA, ALMA, HullMA, LSMA, and 8 other variants Visual Alerts: Clear buy/sell triangles on chart Real-Time Alerts: Separate buy/sell alert conditions Scalping-Friendly: Fast signals suitable for short-term trading Customizable Settings: Adjustable parameters for any trading style Technical Specifications: Signal Type: Non-repainting crossover/crossunder Default Settings: 8-period MA, 3x alternate resolution Alert Options: Price, webhook, email, and push notifications Compatibility: All markets and timeframes Ideal For: Scalping: Fast, precise signals for short-term trades Day Trading: Multi-timeframe confirmation for intraday moves Swing Trading: Reliable signals across higher timeframes All Markets: Forex, stocks, crypto, indices Usage Notes: Apply to your preferred chart and enable alerts for real-time notifications. The non-repainting feature ensures signals remain stable once formed. Adjust MA period and type based on your trading timeframe and volatility preferences. Risk Disclosure: This indicator is for educational purposes only. Past performance doesn't guarantee future results. Trading involves substantial risk. Test thoroughly in demo accounts before live trading.
Indicatore Pine Script®
di MTFSignals
MACD-V MomentumThe MACD-V (Moving Average Convergence Divergence – Volatility Normalized) is an award-winning momentum indicator created by Alex Spiroglou, CFTe, DipTA (ATAA). It improves on the traditional MACD by normalizing momentum with volatility, solving several well-known limitations of classic indicators: ✅ Time stability – readings are consistent across history ✅ Cross-market comparability – works equally on stocks, crypto, forex, and commodities ✅ Objective momentum framework – universal thresholds at +150 / -150, +50 / -50 ✅ Cleaner signals – reduces false signals in ranges and lag in high momentum By dividing the MACD spread by ATR, the indicator expresses momentum in volatility units, allowing meaningful comparison across timeframes and markets. MACD-V defines seven objective momentum states: Risk (Oversold): below -150 Rebounding: -150 to +50 and above signal Rallying: +50 to +150 and above signal Risk (Overbought): above +150 Retracing: above -50 and below signal Reversing: -150 to -50 and below signal Ranging: between -50 and +50 for N bars Optional background tints highlight the active regime (Bull above 200-MA, Bear below 200-MA). Rare extremes (e.g., MACD-V < -100 in a bull regime) are tagged for additional context. Use Cases Identify and track momentum lifecycles across any market Spot rare extremes for potential reversal opportunities Filter out low-momentum whipsaws in ranging conditions Compare momentum strength across multiple symbols Support systematic and rule-based strategy development
Indicatore Pine Script®
di ensormatt88
1
Custom MACD (Normalized by ATR)This is a modified version of the classic MACD indicator. Instead of using just the difference between EMA(12) and EMA(26), this version normalizes the MACD line by ATR(26) and scales it by 100: * 100 This adjustment makes the MACD relative to market volatility, allowing for easier comparison across assets and timeframes. The idea of normalizing MACD with ATR comes from Alex Spioglou, who suggested this improvement to enhance signal consistency in volatile markets. Plots include the ATR-normalized MACD line, the signal line, and the histogram, with rising/falling color cues and built-in alert conditions.
Indicatore Pine Script®
di hazemstocks
NY Open OR/ATR Diff Planner – v2.8 NY Open OR/ATR Diff Planner – v2.8 (Hi-Contrast) Trade the Opening Range Breakout with a plan, not vibes. This tool builds the NY Opening Range (OR) from the cash open and overlays a complete, risk-based execution plan: precise entry, structural stop, position size, targets, and R:R — all tied to the Daily ATR(14) and the remaining ATR “fuel” left in the day. What it does Opening Range: First N minutes after 09:30 ET (choose 5/15/30/60). Today-only lines: Automatically resets at 09:30; no carry-over from prior days. Session aware: Works on RTH or ETH charts. OR always anchors at 09:30 ET. Fuel model: Computes Session Range (since 09:30) and ATR Diff Left = Daily ATR − Session Range. Entries & Stops: Long plan: Entry = ORH, Stop = ORL Short plan: Entry = ORL, Stop = ORH Targets: TP1 = 1R (distance of entry→stop) TP (ATR-diff cap): Entry ± ATR Diff Left (caps greed when the day’s ATR is nearly spent) Sizing & R:R: Position size = Account × Risk% / Risk per share, with live R:R to ATR-diff target. Hi-contrast table: Clear readout of Daily ATR, OR size, OR/ATR%, Session Range, ATR left, entries/stops/TPs, size, and max $ risk. Inputs Opening Range (minutes): 5 / 15 / 30 / 60 Account Size ($) and Risk % per trade Session mode: RTH (09:30–16:00) or ETH (chart’s session; still anchored at 09:30) Also show Short plan (toggle) Show info table (toggle) How to use Add on a 1–5m chart. Choose your OR window (e.g., 15m = 09:30–09:45). Set Account Size and Risk % (e.g., 4–5% for small accounts; adjust to taste). Wait for the OR to complete. Trade the break/retest with the levels shown: Long: Break of ORH, SL at ORL, TP1 = 1R, TP2 = ATR-diff cap. Short: Mirror logic. If OR/ATR% > ~50% (red), the “fuel” is thin — be selective. Why it helps build an edge Objective structure: Clear levels and sizing remove guesswork. Context-aware targets: ATR-diff keeps targets realistic to the day’s potential. Discipline by design: One framework that’s easy to review, journal, and iterate. Notes This is an indicator (visual planner), not an order-placing strategy. If you want a back testable version (one trade/day, optional retest rule, TP/SL logic), say the word — I can publish a strategy variant. Keywords: ORB, Opening Range, ATR, Risk Management, Position Sizing, Day Trading, NYSE Open, Mean Reversion Fuel, Execution Planner
Indicatore Pine Script®
di rick84etter
3
Anchored Volume-Weighted RSI & Multi-Normalized MACDAnchored Volume-Weighted RSI & Multi-Normalized MACD Author: NEPOLIX Overview The "Anchored Volume-Weighted RSI & Multi-Normalized MACD" is a sophisticated Pine Script v6 indicator designed for TradingView. It combines an Anchored Volume-Weighted Relative Strength Index (VW-RSI) with a Multi-Normalized Moving Average Convergence Divergence (MACD) to provide traders with enhanced market analysis tools. This indicator allows for customizable anchoring, multiple normalization techniques, and stepped visualization for precise trend and momentum analysis. Features Anchored VW-RSI: Calculates a volume-weighted RSI anchored to a user-defined or auto-detected time point, offering a unique perspective on momentum with volume influence. Multi-Normalized MACD: Supports various normalization methods, including Volume-Weighted, Min-Max, Volatility, Hyperbolic Tangent, Arctangent, and Min-Max with Smoothing, ensuring adaptability to different market conditions. Flexible Anchoring: Choose from auto-detected anchor modes (1-day, 5-day, 30-day) or manual anchor time selection for tailored analysis starting from a specific point. Stepped Visualization: Optional stepped mode for RSI and MACD values, reducing noise and highlighting significant changes based on user-defined thresholds. Smoothing Options: Supports multiple moving average types (SMA, EMA, SMMA, WMA, VWMA) for RSI smoothing, with optional Bollinger Bands for volatility analysis. Derivative Analysis: Plots derivatives for RSI and MACD to identify rate-of-change trends, with adjustable scaling and filtering. Customizable Display: Options to toggle MACD line, signal line, histogram, and cross-point dots, with dynamic color changes based on market conditions. Multi-Timeframe Support: Fetch data from higher timeframes for broader market context. User-Friendly Inputs: Comprehensive input settings for general parameters, anchor settings, RSI, MACD, derivatives, and display options, organized into clear groups. How It Works VW-RSI: Computes a volume-weighted RSI by anchoring calculations to a specified time, using volume-weighted gains and losses for a more robust momentum indicator. MACD Normalizations: Applies user-selected normalization techniques to the MACD, scaling it within defined bounds (-50 to 50 by default) for consistent comparison across instruments. Anchoring Mechanism: Aligns calculations to a user-defined or auto-calculated anchor point (e.g., market open time adjusted for America/New_York timezone). Stepped Mode: Discretizes RSI and MACD values into sections for clearer trend identification, with customizable section width and zero range. Visualization: Plots RSI, MACD, signal lines, and histograms, with optional Bollinger Bands, derivatives, and stepped lines. Dynamic coloring highlights crossovers and histogram trends. Use Cases Trend Analysis: Use the anchored VW-RSI and normalized MACD to identify momentum shifts and trend strength. Reversal Detection: Monitor overbought/oversold levels and MACD crossovers for potential reversal points. Volatility Assessment: Leverage Bollinger Bands and volatility-normalized MACD for insights into market volatility. Custom Strategies: Export variables (RSI, MACD, signal, etc.) for use in companion scripts or automated trading strategies. Settings General: Adjust section width, zero range, timeframe, and enable stepped mode. Anchor Settings: Select auto or manual anchor modes, with options for 1-day, 5-day, or 30-day auto-anchoring, or manual bar selection. RSI: Configure price source, length, smoothing type, Bollinger Bands multiplier, and derivative settings. MACD: Set price source, fast/slow/signal lengths, normalization types, and derivative parameters. Derivatives: Customize scale factors and filters for RSI and MACD derivatives. Display Options: Toggle visibility of MACD, signal line, histogram, and crossover dots, with options for color changes. Notes Ensure the anchor time is valid when using manual mode by selecting a bar on the chart. Normalization options should be chosen based on the instrument and market conditions for optimal results. Stepped mode is ideal for reducing noise in volatile markets but requires careful threshold tuning. The indicator is computationally intensive due to multiple normalizations; test on smaller datasets if performance issues arise.
Indicatore Pine Script®
di nepolix
2
Multi-Oscillator Adaptive Kernel with MomentumMulti-Oscillator Adaptive Kernel w. Momentum An adaptation of the indicator by AlphaAlgos : Multi-Oscillator-Adaptive-Kernel (MOAK) with Divergence . Please find the description of the indicator in the above link. Apart from adding labels to show trend/momentum changes, the following changes have been made to the original script: 1. Sensitivity is used in the computation to scale the fast MOAK signal, 2. Selection between two indicator modes: Trending - (the original script method) assesses whether smoothed MOAK is above/below 0 - for up/down trends respectively. Momentum - assesses whether the fast MOAK signal is above/below the smoothed MOAK, and can be used to indicate potential trend reversals as momentum of current trend fades.
Indicatore Pine Script®
di Conradious
Universal Valuation ~ GForge 🎯 Universal Valuation - GForge Overview: The Universal Valuation indicator is a sophisticated technical analysis tool that combines 14 different technical indicators into a single, normalized composite Z-score. This revolutionary approach provides traders and investors with a comprehensive view of an asset's relative valuation state, helping identify potential overvalued and undervalued conditions across any market, any timeframe . 🌟 Key Features: Multi-Indicator Fusion: Combines RSI, CCI, Bollinger Bands, Price Analysis, Chande Momentum, Disparity Index, Hurst Exponent, IMI, TEMA, VWAP, Intraday Momentum, and advanced Risk Ratios (Sharpe, Sortino, Omega) Universal Compatibility: Works seamlessly across stocks, forex, crypto, commodities, indices, and any tradeable asset Multi-Timeframe Support: Optimized for all timeframes from 1-minute scalping to monthly long-term analysis Professional Visualization: 9 stunning color themes with gradient effects and customizable styling Comprehensive Dashboard: Real-time table displaying individual indicator scores and overall valuation phase Smart Alert System: Built-in notifications for extreme valuation conditions Z-Score Normalization: All indicators standardized for consistent comparison and interpretation 🔬 Technical Methodology: The indicator employs advanced statistical normalization using Z-scores to transform disparate technical indicators into a unified measurement system. This revolutionary approach solves the fundamental problem of combining indicators with different scales and ranges. 1H MNT Z-Score Normalization Process: Raw Calculation: Each indicator is first calculated using its traditional formula (RSI 0-100, CCI unlimited range, etc.) Statistical Analysis: For each indicator, the system calculates a rolling mean and standard deviation over a customizable lookback period Z-Score Conversion: Current reading is converted using: Z = (Current Value - Rolling Mean) / Rolling Standard Deviation Standardization: All Z-scores are clamped between -5 and +5 to prevent extreme outliers from dominating the composite Democratic Weighting: Each normalized indicator contributes equally to the final composite score Composite Calculation: Final score = Sum of all active Z-scores / Number of active indicators Why Z-Scores Make It Universal: Z-scores transform any indicator reading into "how many standard deviations away from normal this reading is." This means: • An RSI of 85 on a volatile crypto might have the same Z-score as an RSI of 75 on a stable stock • A CCI reading of +200 in a trending market might be less extreme than +100 in a ranging market • Price movements are automatically adjusted for each asset's historical volatility • Different timeframes are automatically normalized for their typical volatility patterns This mathematical approach ensures the indicator adapts to any asset's unique characteristics and market conditions. 📊 Detailed Component Analysis: Technical Indicators: RSI (Relative Strength Index): Calculates momentum by comparing recent gains to recent losses over a customizable period (default 21). Values above 70 traditionally indicate overbought conditions, while values below 30 suggest oversold conditions. The Universal Valuation converts these raw RSI values into Z-scores, providing a normalized view of how extreme current RSI readings are compared to historical patterns. CCI (Commodity Channel Index): Measures the current price level relative to an average price level over a given period (default 30). CCI compares the typical price (high+low+close)/3 to its simple moving average and divides by the mean absolute deviation. Values above +100 or below -100 indicate price extremes. Our Z-score normalization helps identify when CCI readings are statistically significant. Bollinger Bands Position: Calculates where the current price sits within the Bollinger Bands envelope. A value of +1 means price is at the upper band, -1 at the lower band, and 0 at the middle (SMA). This component measures price deviation from the mean in standard deviation units, making it naturally statistical. The Z-score normalization reveals when band position readings are historically extreme. Price Z-Score: Direct statistical measurement of how far the current price deviates from its historical mean in standard deviation units. This is the purest form of valuation measurement, showing whether an asset is trading at statistically significant levels relative to its historical price range. Momentum Indicators: Chande Momentum Oscillator (CMO): Unlike RSI, CMO uses the sum of gains and losses rather than averages, making it more sensitive to recent price changes. It calculates (sum of gains - sum of losses) / (sum of gains + sum of losses) × 100. Values range from -100 to +100. The Z-score normalization helps identify when momentum readings are unusually extreme. Disparity Index: Measures the percentage difference between current price and its simple moving average: (Price - SMA) / SMA × 100. This shows how far price has deviated from its average, with positive values indicating price above average and negative values below. Z-score normalization reveals when these deviations are statistically significant. Intraday Momentum Index (IMI): Similar to RSI but uses intraday price movements instead of closing prices. It compares gains and losses within each session (close vs open) rather than session-to-session changes. This captures intraday sentiment and momentum that closing-based indicators might miss. Particularly useful for detecting intraday reversal patterns. Intraday Momentum: Simple but effective measurement of daily price movement: (Close - Open) / Open × 100. This shows the percentage gain or loss within each trading session. When Z-score normalized, it reveals when intraday movements are historically extreme, often indicating climax buying or selling conditions. Advanced Indicators: TEMA (Triple Exponential Moving Average): A sophisticated moving average that applies exponential smoothing three times to reduce lag while maintaining responsiveness. TEMA = 3×EMA₁ - 3×EMA₂ + EMA₃, where each EMA is applied to the previous result. The Z-score of TEMA helps identify when price has moved significantly away from this responsive trend line. VWAP (Volume Weighted Average Price): Calculates the average price weighted by volume, giving more importance to prices where more volume occurred. VWAP = Σ(Price × Volume) / Σ(Volume). This represents the "fair value" based on actual trading activity. Z-score normalization shows when current VWAP is statistically extreme relative to historical VWAP levels. Hurst Exponent: Advanced mathematical concept measuring market efficiency and trend persistence. Values near 0.5 indicate random walk (efficient market), above 0.5 suggest trending behavior, and below 0.5 indicate mean-reverting markets. The indicator converts this to an oscillator: (Hurst - 0.5) × 100, then applies Z-score normalization to identify extreme efficiency/inefficiency periods. Risk Ratios: Sharpe Ratio: Classic risk-adjusted return measure: (Return - Risk-free Rate) / Standard Deviation of Returns. Higher values indicate better risk-adjusted performance. The Z-score normalization reveals when current risk-adjusted returns are historically high or low, helping identify periods of exceptional or poor risk-adjusted performance. Sortino Ratio: Improvement over Sharpe ratio that only penalizes downside volatility: (Return - Risk-free Rate) / Downside Deviation. This gives a more accurate picture of risk-adjusted returns since upside volatility isn't necessarily bad. Z-score normalization helps identify when downside risk-adjusted returns reach extreme levels. Omega Ratio: Sophisticated risk measure that considers the probability-weighted ratio of gains versus losses above a threshold: Σ(Gains above threshold) / Σ(Losses below threshold). Values above 1.0 indicate positive expected returns above the threshold. Z-score normalization reveals when probability-weighted risk/reward ratios reach historically significant levels. 🎨 Valuation Phases: The composite Z-score translates into clear valuation phases: 🔵 Extremely Undervalued: Z-Score ≤ -2.0 (Rare buying opportunities) 🟦 Strongly Undervalued: Z-Score ≤ -1.3 (Strong buying signals) 🟨 Moderately Undervalued: Z-Score ≤ -0.65 (Potential value plays) ⚪ Fairly Valued: Z-Score -0.65 to 0.5 (Neutral territory) 🟨 Slightly Overvalued: Z-Score 0.5 to 1.2 (Caution advised) 🟧 Moderately Overvalued: Z-Score 1.2 to 2.0 (Consider profit-taking) 🔴 Strongly Overvalued: Z-Score > 2.0 (High risk, potential sell signals) 12H GOLD 🌍 Universal Application: Why "Universal"? Timeframe Independent: Statistical normalization adapts to any timeframe's volatility characteristics Market Neutral: Works across different market conditions (trending, ranging, volatile, calm) Configurable Components: Enable/disable specific indicators based on asset type and market conditions Adaptive Parameters: All lookback periods are customizable for different trading styles 💡 Optimal Use Cases: Swing Trading: Identify intermediate-term reversal points Position Trading: Long-term value assessment for portfolio allocation Day Trading: Intraday extreme condition alerts Risk Management: Position sizing based on valuation extremes Multi-Asset Analysis: Compare relative value across different instruments Market Timing: Entry and exit point optimization ⚙️ Customization Options: Component Selection: Enable/disable any of the 14 indicators Lookback Periods: Adjust Z-score calculation periods for each component Visual Themes: 9 professional color schemes plus custom colors Alert Thresholds: Configurable extreme condition notifications Dashboard Display: Toggle individual component visibility Background Highlighting: Visual emphasis for extreme conditions 🎯 Interpretation Guide: For Long Positions: • Look for Z-scores below -1.3 for entry opportunities • Consider profit-taking when Z-scores exceed +1.2 • Use extreme readings (< -2.0) for high-conviction entries For Short Positions: • Look for Z-scores above +2.0 for entry opportunities • Cover positions when Z-scores fall below +0.5 • Avoid shorting during extreme undervaluation (< -1.3) For Risk Management: • Reduce position sizes during overvalued conditions • Increase allocation during undervalued periods • Use neutral zones (±0.5) for position adjustments 🔔 Alert System: Built-in alerts notify you when: Composite score enters/exits strong overvalued territory (±2.0) Composite score enters/exits strong undervalued territory (±1.3) Extreme conditions are reached (±2.5 for overvalued, -2.0 for undervalued) Neutral crossovers occur (useful for trend changes) 📈 Performance Optimization: The indicator includes several performance optimizations: Efficient calculation methods to minimize processing load Clamped Z-scores to prevent extreme outliers Optimized table rendering for smooth operation 🎨 Visual Elements: Main Plot: Composite Z-score line with dynamic gradient coloring Zone Fills: Visual bands showing valuation regions Reference Lines: Key threshold levels clearly marked Background Highlighting: Extreme condition emphasis Dashboard Table: Comprehensive component breakdown Bar Coloring: Optional candlestick coloring based on valuation 🔧 Technical Requirements: Requires sufficient historical data for accurate Z-score calculations Recommended minimum: 300+ bars for optimal performance Works on all TradingView subscription levels 📚 Educational Value: This indicator serves as an excellent educational tool for: Understanding statistical normalization in trading Learning how multiple indicators can be combined effectively Studying market valuation concepts across different assets Developing a systematic approach to market analysis ⚠️ Important Notes: The indicator works best with sufficient historical data Consider market context and fundamental factors alongside technical signals Backtest thoroughly before implementing in live trading Adjust parameters based on specific asset characteristics and trading timeframe Use in conjunction with other analysis methods for best results --- ⚠️ DISCLAIMER: This indicator is provided for educational and informational purposes only and should not be considered as financial advice, investment advice, trading advice, or any other type of advice. The Universal Valuation indicator is a technical analysis tool that provides statistical information about price movements and market conditions. It does not guarantee profits or predict future market movements with certainty. --- Developed with precision for the TradingView community ~ GForge
Indicatore Pine Script®
di GForge
Sk-Macd TrendPublication Note for "Sk Macd Trend" IndicatorWe are excited to announce the release of the "Sk Macd Trend" indicator, a robust and versatile tool designed for traders to identify market trends, momentum, and potential reversal points. This indicator, developed by Sujeetjeet1705, is licensed under the Mozilla Public License 2.0 (mozilla.org).Key Features:Wave Trend Oscillator:Customizable channel length, average length, and overbought/oversold levels. Optional Laguerre smoothing for enhanced signal clarity using a configurable gamma factor. Visualizes MACD and Signal lines to track momentum and trend direction. Histogram:Displays the difference between MACD and Signal as a histogram (Hist), with color-coded bars to indicate bullish or bearish momentum strength. Supports both SMA and EMA for oscillator and signal line calculations, with adjustable signal smoothing. Trailing Stop:Implements ATR-based trailing stops for bullish and bearish positions, with customizable multiplier and line width. Option to filter signals based on trend direction (MACD above/below zero). Visual cues for trailing stop initiations and stop-loss hits, enhancing trade management. Divergence Detection:Identifies regular and hidden bullish/bearish divergences on both the Signal line and Hist (histogram). Configurable lookback periods and range settings for precise divergence detection. Clear visual labels and color-coded plots for easy interpretation of divergence signals. Usage:Wave Trend Settings: Adjust channel length, average length, and overbought/oversold levels to suit your trading style. Histogram Settings: Enable/disable the histogram and choose between SMA or EMA for smoothing. Trailing Stop: Enable trend-based filtering and tweak the ATR multiplier for tighter or looser stops. Divergence Settings: Customize pivot lookback and range parameters to detect divergences that align with your strategy. Notes:The indicator is non-overlay and designed for use in a separate panel below the price chart. Visual elements include MACD and Signal lines, Hist bars, buy/sell signals, trailing stop lines, and divergence labels for comprehensive analysis. The code is optimized for performance with a maximum of 100 polylines for trailing stops. Licensing:This indicator is released under the Mozilla Public License 2.0. For details, visit mozilla.org by ©Sujeetjeet1705, this indicator combines advanced technical analysis tools to empower traders with actionable insights. We encourage feedback and suggestions to further enhance its functionality.Happy trading! Sujeetjeet1705
Indicatore Pine Script®
di sujeetjeet1705
Maple Trend Maximizer – AI-Powered Trend & Entry IndicatorOverview: Maple Trend Maximizer is an AI-inspired market analysis tool that identifies trend direction, highlights high-probability entry zones, and visually guides you through market momentum. Designed for traders seeking smart, data-driven signals, it combines trend alignment with proprietary AI-style calculations for precise timing. Key Features: AI Trend Detection: Automatically identifies bullish and bearish trends using advanced smoothing and trend alignment techniques. Momentum & Signal Lines: Dynamic lines indicate market strength and potential turning points. Colors change to highlight high-probability entry zones. Entry Signals: Optional visual markers suggest precise entries when trend direction and momentum align. Configurable to reduce noise and focus on strong setups. Multi-Timeframe Flexibility: Works on intraday charts or higher timeframes for swing and position trading. Customizable Settings: Adjustable smoothing, trend sensitivity, and signal display options. Lets you fine-tune the indicator to your trading style. Benefits: Quickly identifies market direction and optimal entries. Provides clear, visually intuitive signals. Can be used standalone or integrated into a larger strategy system.
Indicatore Pine Script®
di Maple_Algorithm
Volume-Weighted RSI & Multi-Normalized MACD Overlay**Description**: The "Volume-Weighted RSI & Multi-Normalized MACD Overlay" is a sophisticated indicator that plots a volume-weighted Relative Strength Index (VW-RSI) and a customizable Moving Average Convergence Divergence (MACD) directly on the price chart, enhancing momentum and trend analysis for traders. Designed for stocks, forex, crypto, and more, it supports multi-timeframe (MTF) analysis and offers flexible normalization and scaling options for precise visualization. **Key Features**: - **Volume-Weighted RSI**: A volume-sensitive RSI normalized to a configurable range (default: -50/+50), with optional smoothing (SMA, EMA, WMA, VWMA, SMMA, or Bollinger Bands). Overbought (+20) and oversold (-20) lines are plotted relative to a user-defined price source (default: ohlc4). - **Multi-Normalized MACD**: Supports five bounded normalization methods: Min-Max, Volatility Min-Max, Hyperbolic Tangent, Arctangent, and Min-Max with Smoothing, scaled to the same range as RSI for unified analysis. - **Price Chart Overlay**: Plots RSI, RSI MA, MACD, MACD Signal, zero-line, overbought (+20), and oversold (-20) lines, anchored to a customizable price source (e.g., ohlc4, hl2). - **Flexible Scaling**: Choose between high/low range (default) or ATR-based scaling, with separate lookbacks for RSI and MACD (default: 128). Adjust offset and scale factor multipliers for fine-tuned visuals. - **Customizable Display**: Toggles for RSI (with MA), MACD (with Signal), zero-line, overbought/oversold lines, and RSI background coloring (>20/< -20). Dynamic MACD colors (cyan/magenta) and transparency options enhance clarity. **How to Use**: 1. Add to any chart (e.g., BTCUSD, SPY, 1H, 1D). 2. Configure settings: - **General**: Set bounds (-50/+50), timeframe, scaling (high/low or ATR), zero-line source (e.g., ohlc4), and multipliers. - **RSI**: Adjust price source, length (9), and smoothing options. - **MACD**: Select price source, lengths (9/21/9), and normalization (e.g., Volatility Min-Max). - **Display Options**: Toggle lines and background; adjust transparency. 3. Interpret signals: RSI > +20 (overbought), < -20 (oversold); MACD/Signal crosses for momentum; zero-line as reference. 4. Use with the companion "Volume-Weighted RSI & Multi-Normalized MACD" script for pane-based analysis if desired. **Why Use It?** Ideal for traders seeking a visually intuitive overlay of RSI and MACD on price action, with customizable scaling and MTF support. Perfect for trend-following, mean-reversion, and cross-market strategies. **Notes**: - Ensure a bounded normalization (e.g., Volatility Min-Max) is selected for MACD plotting. - Adjust scaling multipliers for optimal visibility on volatile assets. - Feedback welcome to enhance future versions! **Author**: nepolix
Indicatore Pine Script®
di nepolix
G. Santostasi Bitcoin Power Law Monte Carlo IndicatorOverview: The "G. Santostasi Bitcoin Power Law Monte Carlo" is a sophisticated TradingView indicator inspired by the Bitcoin Power Law Theory developed by physicist Giovanni Santostasi. This theory posits that Bitcoin's price follows a power-law relationship with time, measured in days since the Bitcoin Genesis Block (January 3, 2009). The indicator leverages this framework to analyze Bitcoin's price dynamics through a normalized metric called "Daily Slopes," which captures local deviations from the long-term power-law trend. By fitting these Daily Slopes to a t-location scale distribution on a moving window, the indicator computes key parameters (mu, sigma, and nu) and plots them along with deviation bands. This allows traders to identify local minima and maxima in price action relative to the global power-law slope of approximately 5.9.Additionally, the indicator incorporates Monte Carlo simulations to project potential future price paths up to 100 days ahead, generating up to 500 randomized trajectories based on the statistical properties of the Daily Slopes. This tool is particularly useful for understanding Bitcoin's inherent diminishing returns, assessing market stability, and forecasting short-term scenarios while emphasizing the asset's long-term predictability as a self-organizing network akin to natural systems. The indicator does not predict exponential growth but instead highlights Bitcoin's scale-invariant behavior, where returns diminish predictably over time—a feature, not a bug, of its design. It has been observed that the core metric (mu) remains stable across Bitcoin's entire history, reinforcing the power law as Bitcoin's "DNA." Core Concept: Daily Slopes: At the heart of the indicator is the "Daily Slopes" metric, which normalizes daily logarithmic returns to account for the diminishing nature predicted by the power-law model. This normalization reveals a stable "local slope" (n) that oscillates around a fixed global value, providing insight into Bitcoin's consistent behavior over time. Definition and Calculation: Daily logarithmic returns are calculated as log⁡(P2/P1)\log(P_2 / P_1)\log(P_2 / P_1), where P2P_2P_2 is the current day's closing price and P1P_1P_1 is the previous day's closing price. According to the power-law model, if Bitcoin's price ( P(t) ) follows P(t)=c⋅tnP(t) = c \cdot t^nP(t) = c \cdot t^n (where ( t ) is days since the Genesis Block, ( c ) is a constant, and n≈5.9n \approx 5.9n \approx 5.9 is the global slope from log-log regression), then the expected daily log return is n⋅log⁡((t+1)/t)n \cdot \log((t+1)/t)n \cdot \log((t+1)/t) . The Daily Slope is thus the normalized value: Daily Slope=log⁡(P2/P1)log⁡((t+1)/t)\text{Daily Slope} = \frac{\log(P_2 / P_1)}{\log((t+1)/t)}\text{Daily Slope} = \frac{\log(P_2 / P_1)}{\log((t+1)/t)} This normalization "stabilizes" the returns by dividing out the theoretical decay factor log⁡((t+1)/t)\log((t+1)/t)\log((t+1)/t) , which diminishes as ( t ) increases (reflecting slower growth in mature systems). Result: The Daily Slope represents a "local n" that should remain stable, oscillating around the global slope of ~5.9 without long-term drift. Empirical data shows this stability holds over Bitcoin's 16-year history, with oscillations but no systematic change—indicating Bitcoin has statistically "done the same thing" since inception. Interpretation: Positive deviations (Daily Slope > 5.9) signal bullish momentum or potential local maxima. Negative deviations (Daily Slope < 5.9) indicate bearish pressure or local minima. The metric adjusts for absolute volatility, which appears to decrease over time due to diminishing returns. However, when normalized via Daily Slopes, relative volatility has been constant for the last 8 years, underscoring Bitcoin's resilience to macroeconomic factors. Distribution Fitting and Parameter Estimation: To quantify the behavior of Daily Slopes, the indicator fits them to a t-location scale distribution (Student's t-distribution with location and scale parameters) over a user-configurable moving window (e.g., 365 days for annual analysis). This distribution is chosen as the best empirical fit for the heavy-tailed, outlier-prone nature of Bitcoin's normalized returns, outperforming alternatives like Gaussian or Laplacian.t-Location Scale Distribution: The distribution is parameterized by:μ (mu): Location parameter, representing the mean or "average slope." This is the most critical metric, stable around 5.9 across Bitcoin's history. It tracks the central tendency of Daily Slopes and signals overall market regime (e.g., rising mu indicates strengthening momentum). σ (sigma): Scale parameter, akin to standard deviation, measuring the spread or volatility of slopes. It has shown slight increases in certain contexts (e.g., hash rate applications) but remains stable for price data. ν (nu): Degrees of freedom, controlling the "tailedness" (lower ν means heavier tails, capturing extreme events like bubbles or crashes). Fitting is performed on a rolling basis, updating μ, σ, and ν dynamically. Plotting: Local μ: Plotted as a central line, showing the moving average slope. Deviation Bands: μ + σ (upper band) and μ - σ (lower band), highlighting 1-standard-deviation ranges. These bands help identify overbought/oversold conditions by measuring deviations from the global mean of 5.9. For example: Crossing above μ + σ may signal a local maximum (potential sell opportunity). Dipping below μ - σ could indicate a local minimum (buy signal). Additional visualizations include raw Daily Slopes (oscillating series) and smoothed averages for clarity. Stability and Insights:μ has remained remarkably stable over 16 years, oscillating without drift, validating the power law's predictive power. Parameters may show minor trends in rolling windows (e.g., slight σ increases), but no monotonic drift is observed in price data. This stability extends to related metrics like addresses and hash rate, where Daily Slopes can be derived similarly (e.g., via log(A2/A1) / log((t+1)/t) for addresses, yielding equivalent slopes around 5.9). Monte Carlo Simulations for Future Projections The indicator enables short-term forecasting (up to 100 days) by reversing the normalization process and simulating paths using the fitted distribution. Projection Mechanism: Recover expected daily returns: Multiply the sampled Daily Slope (drawn from the t-location scale distribution with current μ, σ, ν) by log⁡((t+1)/t)\log((t+1)/t)\log((t+1)/t) . Generate randomized samples to create up to 500 Monte Carlo paths, incorporating the distribution's properties to model uncertainty (e.g., heavy tails for rare events). Simulations can use the full historical dataset for broader spreads or recent windows (e.g., last 8 years) for tighter, regime-specific forecasts. Output: Fan chart of projected prices, showing median path (based on μ), confidence intervals (e.g., ±σ bands), and extreme scenarios. Applications and Limitations: Useful for risk assessment, e.g., probability of reaching $200K in 2025 is low (1-2% per recent simulations). Assumes parameters evolve minimally; if drift is detected, simulations can adjust dynamically. Not for long-term predictions (beyond 100 days), as the power law excels in multi-year trends rather than short-term noise. Empirical validation: Simulations align with historical backtests, where deviations (bubbles/crashes) revert to the power-law trend. Usage Notes Inputs: Customize moving window size, number of Monte Carlo paths (default: 500), projection horizon (up to 100 days), and global slope (default: 5.9). Visuals: Overlay on BTCUSD log-log chart for context; bands and simulations appear in separate panels. Caveats: This is not financial advice. The power law describes emergent behavior from network effects, not guarantees. Cycles and bubbles are secondary deviations, not core to the model. Extensions: The concept applies beyond price (e.g., to addresses or hash rate), revealing interconnected power laws in Bitcoin's ecosystem. This indicator transforms Santostasi's theoretical insights into a practical tool, empowering users to navigate Bitcoin's dynamics with statistical rigor.
Indicatore Pine Script®
di Quantonomyfund
Multi-Timeframe mybullandbearThis Multi-Timeframe RSI + Ultimate MA System combines RSI and customizable moving averages (SMA, EMA, WMA, HullMA, VWMA, RMA, TEMA) to generate powerful buy/sell signals across 5m, 15m, 1h, and 4h timeframes. Visualize signals with clear chart labels (BUY/SELL) and a multi-timeframe table showing RSI status, MA trends, and signal strength. Ideal for traders seeking trend confirmation and reversal signals. Enable/disable RSI, MA cross, or combined signals, and adjust MA types/lengths. Use aligned signals across timeframes for stronger entries. Best with backtesting for your asset.
Indicatore Pine Script®
di mybullandbear