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NLR-ADX Divergence Strategy Triple-ConfirmedHow it works Builds a cleaner DMI/ADX Recomputes classic +DI, −DI, ADX over a user-set length. Then “non-linear regresses” each series toward a mean (your choice: dynamic EMA of the series or a fixed Static Mid like 50). The further a value is from the mean, the stronger the pull (controlled by alphaMin/alphaMax and the γ exponent), giving smoother, more stable DI/ADX lines with less whipsaw. Optional EMA smoothing on top of that. Lock in values at confirmed pivots Uses price pivots (left/right bars) to confirm swing lows and highs. When a pivot confirms, the script captures (“freezes”) the current +DI, −DI, and ADX values at that bar and stores them. This avoids later drift from smoothing/EMAs. Check for triple divergence For a bullish setup (potential long): Price makes a Lower Low vs. a prior pivot low, +DI is higher than before (bulls quietly stronger), −DI is lower (bears weakening), ADX is lower (trend fatigue). For a bearish setup (potential short) Price makes a Higher High, +DI is lower, −DI is higher, ADX is lower. Adds a “no-intersection” sanity check: between the two pivots, the live series shouldn’t snake across the straight line connecting endpoints. This filters messy, low-quality structures. Trade logic On a valid triple-confirm, places a strategy.entry (Long for bullish, Short for bearish) and optionally labels the bar (BUY or SELL with +DI/−DI/ADX arrows). Simple flip behavior: if you’re long and a new short signal prints (or vice versa), it closes the open side and flips. Key inputs you can tweak Custom DMI Settings DMI Length — base length for DI/ADX. Non-Linear Regression Model Mean Reference — EMA(series) (dynamic) or Static mid (e.g., 50). Dynamic Mean Length & Deviation Scale Length — govern the mean and scale used for regression. Min/Max Regression & Non-Linearity Exponent (γ) — how strongly values are pulled toward the mean (stronger when far away). Divergence Engine Pivot Left/Right Bars — how strict the swing confirmation is (larger = more confirmation, more delay). Min Bars Between Pivots — avoids comparing “near-duplicate” swings. Max Historical Pivots to Store — memory cap.
Pine Script® stratejisi
Cmo22 tarafından
Rolling Correlation vs Another Symbol (SPY Default)This indicator visualizes the rolling correlation between the current chart symbol and another selected asset, helping traders understand how closely the two move together over time. It calculates the Pearson correlation coefficient over a user-defined period (default 22 bars) and plots it as a color-coded line: • Green line → positive correlation (move in the same direction) • Red line → negative correlation (move in opposite directions) • A gray dashed line marks the zero level (no correlation). The background highlights periods of strong relationship: • Light green when correlation > +0.7 (strong positive) • Light red when correlation < –0.7 (strong negative) Use this tool to quickly spot diversification opportunities, confirm hedges, or understand how assets interact during different market regimes.
Pine Script® göstergesi
EuerMarit tarafından
VWAP Composites📊 VWAP Composite - Advanced Multi-Period Volume Weighted Average Price Indicator ═══════════════════════════════════════════════════════════════════ 🎯 OVERVIEW VWAP Composite is an advanced volume-weighted average price (VWAP) indicator that goes beyond traditional single-period VWAP calculations by offering composite multi-period analysis and unprecedented customization. This indicator solves a common problem traders face: traditional VWAP resets at arbitrary intervals (session start, day, week), but significant price action and volume accumulation often spans multiple periods. VWAP Composite allows you to anchor VWAP calculations to any timeframe—or combine multiple periods into a single composite VWAP—giving you a true representation of average price weighted by volume across the exact periods that matter to your analysis. ═══════════════════════════════════════════════════════════════════ ⚙️ HOW IT WORKS - CALCULATION METHODOLOGY 📌 CORE VWAP CALCULATION The indicator calculates VWAP using the standard volume-weighted formula: • Typical Price = (High + Low + Close) / 3 • VWAP = Σ(Typical Price × Volume) / Σ(Volume) This calculation is performed across user-defined time periods, ensuring each bar's contribution to the average is proportional to its trading volume. 📌 STANDARD DEVIATION BANDS The indicator calculates volume-weighted standard deviation to measure price dispersion around the VWAP: • Variance = Σ / Σ(Volume) • Standard Deviation = √Variance • Upper Band = VWAP + (StdDev × Multiplier) • Lower Band = VWAP - (StdDev × Multiplier) These bands help identify overbought/oversold conditions relative to the volume-weighted mean, with high-volume price excursions having greater impact on band width than low-volume moves. 📌 COMPOSITE PERIOD METHODOLOGY (Auto Mode) Unlike traditional VWAP that resets at fixed intervals, Auto Mode creates composite VWAPs by combining the current period with N previous periods: • Period Span = 1: Current period only (standard VWAP behavior) • Period Span = 2: Current period + 1 previous period combined • Period Span = 3: Current period + 2 previous periods combined • And so on... Example: A 3-period Weekly composite VWAP calculates from the start of 2 weeks ago through the current week's end, creating a single VWAP that represents 21 days of continuous price and volume data. This provides context about where price stands relative to the volume-weighted average over multiple weeks, not just the current week. ═══════════════════════════════════════════════════════════════════ 🔧 KEY FEATURES & ORIGINALITY ✅ DUAL OPERATING MODES 1️⃣ MANUAL MODE (5 Independent VWAPs) Define up to 5 separate VWAP calculations with custom start/end times: • Perfect for anchoring VWAP to specific events (earnings, Fed announcements, major reversals) • Each VWAP has independent color settings for lines and deviation band backgrounds • Individual control over calculation extension and visual extension (explained below) • Useful for tracking multiple institutional accumulation/distribution zones simultaneously 2️⃣ AUTO MODE (Composite Period VWAP) Automatically calculates VWAP across combined time periods: • Supported periods: Daily, Weekly, Monthly, Quarterly, Yearly • Configurable period span (1-20 periods) • Always up-to-date, recalculates on each new bar • Ideal for systematic analysis across consistent timeframes ✅ DUAL EXTENSION SYSTEM (Manual Mode Innovation) Most VWAP indicators only offer "on/off" for extending calculations. This indicator provides two distinct extension options: 🔹 EXTEND CALCULATION TO CURRENT BAR When enabled, continues including new bars in the VWAP calculation after the defined end time. The VWAP value updates dynamically as new volume enters the market. Use case: You anchored VWAP to a major low 3 weeks ago. You want the VWAP to continue evolving with new volume data to track ongoing institutional positioning. 🔹 EXTEND VISUAL LINE ONLY When enabled (and calculation extension is disabled), projects the "frozen" VWAP value forward as a reference line. The VWAP value remains fixed at what it was at the end time, but the line and deviation bands visually extend to current price. Use case: You want to see how price is behaving relative to the VWAP that existed at a specific point in time (e.g., "Where is price now vs. the 5-day VWAP that existed at last Friday's close?"). This dual system gives you unprecedented control over whether you're tracking a "living" VWAP that incorporates new data or using historical VWAP levels as static reference points. ✅ CUSTOMIZABLE STANDARD DEVIATION BANDS • Adjustable multiplier (0.1 to 5.0) • Independent background colors with opacity control for each VWAP • Dashed band lines for easy visual distinction from main VWAP • Bands extend when visual extension is enabled, maintaining zone visibility ✅ COMPREHENSIVE LABELING SYSTEM Each VWAP displays: • Current VWAP value • Upper deviation band value (High) • Lower deviation band value (Low) • Extension status indicator (Calc Extended / Visual Extended) • Color-coded for quick identification ═══════════════════════════════════════════════════════════════════ 📖 HOW TO USE THIS INDICATOR 🎯 SCENARIO 1: EVENT-ANCHORED VWAP (Manual Mode) Use case: A stock gaps down 15% on earnings and you want to track where institutions are positioning during the recovery. Setup: 1. Switch to Manual Mode 2. Enable VWAP 1 3. Set Start Time to the earnings gap bar 4. Set End Time to current time (or leave far in future) 5. Enable "Extend Calculation to Current Bar" 6. Watch how price respects the VWAP as a dynamic support/resistance Interpretation: • Price above VWAP = buyers in control since the event • Price testing VWAP from above = potential support • Volume-weighted standard deviation bands show normal price range • Price outside bands = potential exhaustion/mean reversion setup 🎯 SCENARIO 2: MULTI-WEEK INSTITUTIONAL ACCUMULATION ZONE (Auto Mode) Use case: You trade swing setups and want to identify where institutions have been accumulating over the past 3 weeks. Setup: 1. Switch to Auto Mode 2. Select "Weekly" period type 3. Set Period Span to 3 4. Enable standard deviation bands Interpretation: • 3-week composite VWAP shows the true average institutional entry • Price bouncing off VWAP repeatedly = strong support (institutions defending their average) • Price breaking below VWAP on high volume = potential distribution • Deviation bands contracting = consolidation; expanding = volatility increase 🎯 SCENARIO 3: COMPARING MULTIPLE TIME HORIZONS (Manual Mode) Use case: You want to see short-term vs medium-term vs long-term VWAP alignments. Setup: 1. Switch to Manual Mode 2. VWAP 1: Last 5 trading days (blue) 3. VWAP 2: Last 10 trading days (orange) 4. VWAP 3: Last 20 trading days (purple) 5. Enable "Extend Calculation" for all 6. Set different background colors for visual separation Interpretation: • All VWAPs aligned upward = strong trend across all timeframes • Price between VWAPs = finding equilibrium between different trader timeframes • Short-term VWAP crossing long-term VWAP = momentum shift • Price rejecting at higher-timeframe VWAP = that timeframe's traders defending their average 🎯 SCENARIO 4: HISTORICAL VWAP REFERENCE LEVELS (Manual Mode) Use case: You want to see where the 1-month VWAP was at each month-end as static reference levels. Setup: 1. Switch to Manual Mode 2. VWAP 1: Set to last month's start/end dates 3. VWAP 2: Set to 2 months ago start/end dates 4. VWAP 3: Set to 3 months ago start/end dates 5. Disable "Extend Calculation" 6. Enable "Extend Visual Line Only" Interpretation: • Each VWAP represents the volume-weighted average for that complete month • These become static support/resistance levels • Price returning to old monthly VWAPs = institutional memory/gap fill behavior • Useful for identifying longer-term value areas ═══════════════════════════════════════════════════════════════════ 🎨 CUSTOMIZATION OPTIONS GENERAL SETTINGS • Show/hide labels • Line style: Solid, Dashed, or Dotted • Standard deviation multiplier (impacts band width) • Toggle standard deviation bands on/off MANUAL MODE (Per VWAP) • Custom start and end times • Line color picker • Background color picker (with transparency control) • Extend calculation option • Extend visual option • Show/hide individual VWAPs AUTO MODE • Period type selection (Daily/Weekly/Monthly/Quarterly/Yearly) • Period span (1-20 periods) • Line color • Background color (with transparency control) ═══════════════════════════════════════════════════════════════════ 💡 TRADING APPLICATIONS ✓ Mean Reversion: Use deviation bands to identify stretched prices likely to return to VWAP ✓ Trend Confirmation: Price sustained above VWAP = bullish bias; below = bearish bias ✓ Support/Resistance: VWAP often acts as dynamic S/R, especially on higher volume periods ✓ Institutional Positioning: Multi-day/week VWAPs show where large players have established positions ✓ Entry Timing: Wait for pullbacks to VWAP in trending markets ✓ Stop Placement: Use VWAP ± standard deviation as volatility-adjusted stop levels ✓ Breakout Confirmation: Breakouts from consolidation with price reclaiming VWAP = stronger signal ✓ Multi-Timeframe Analysis: Compare short vs long-period VWAPs to gauge momentum alignment ═══════════════════════════════════════════════════════════════════ ⚠️ IMPORTANT NOTES • The indicator redraws on each bar to maintain accurate visual representation (uses `barstate.islast`) • Maximum lookback is limited to 5000 bars for performance optimization • Time range calculations work across all timeframes but are most effective on intraday to daily charts • Standard deviation bands assume volume-weighted distribution; extreme events may violate assumptions • Auto mode always calculates to current bar; use Manual mode for fixed historical periods ═══════════════════════════════════════════════════════════════════ This indicator is open-source. Feel free to examine the code, learn from it, and adapt it to your needs.
Pine Script® göstergesi
benb1122 tarafından
Midnight Lines for Tokyo, London, New Yorkممتاز 👌 إليك **تعريفًا محدثًا وكاملًا للمؤشر باللغتين العربية والإنجليزية**، مع إدراج توضيح دقيق لتعامل المؤشر مع **تغيّر التوقيت الصيفي والشتوي (DST)** في لندن ونيويورك: --- ## 🇬🇧 **English Description (with DST behavior)** **Indicator name:** *Midnight Lines for Tokyo, London, and New York* **Purpose:** This indicator automatically draws **vertical lines** on the chart at **midnight (00:00)** for the three major global trading sessions: * **Tokyo** * **London** * **New York** ### 🔹 How it works: 1. The script checks each candle’s time using the built-in TradingView time zone function: * `"Asia/Tokyo"` * `"Europe/London"` * `"America/New_York"` 2. When it detects **00:00** in any of these zones, it draws: * A **vertical dotted line** that extends from the top to the bottom of the chart. * A **label** at the top with the session name (e.g., “Tokyo Midnight”). 3. Each session has its own color for clarity: * **Blue** → Tokyo Midnight * **Green** → London Midnight * **Red** → New York Midnight ### 🕒 Automatic Daylight Saving Time (DST) Adjustment: The indicator automatically adapts to **Daylight Saving Time changes** in both **London** and **New York**: * When London switches between **GMT and GMT+1**, the midnight line shifts automatically to remain accurate. * When New York switches between **EST and EDT**, the script also updates accordingly. * Tokyo does **not** observe DST, so its timing stays constant year-round. ### 🎯 Purpose: Helps traders visually track the start of each new trading day in the major sessions and analyze: * Session overlaps (e.g., London–New York overlap) * Session-based trading strategies * Price movement behavior at each new day open --- ## 🇸🇦 **الوصف بالعربية (مع إدراج تغير التوقيت)** **اسم المؤشر:** خطوط منتصف الليل لجلسات طوكيو، لندن، ونيويورك **الهدف:** يقوم هذا المؤشر تلقائيًا برسم **خطوط عمودية** على الرسم البياني عند **منتصف الليل (00:00)** لكل من الجلسات الثلاث الرئيسية: * **جلسة طوكيو** * **جلسة لندن** * **جلسة نيويورك** ### 🔹 كيفية العمل: 1. يستخدم المؤشر دوال TradingView لحساب الوقت الفعلي لكل مدينة: * `"Asia/Tokyo"` لطوكيو * `"Europe/London"` للندن * `"America/New_York"` لنيويورك 2. عند وصول الساعة إلى **00:00** بتوقيت أي مدينة، يرسم المؤشر: * **خطًا عموديًا متقطعًا** يمتد من أعلى إلى أسفل الرسم البياني. * **تسمية (Label)** أعلى الخط باسم الجلسة (مثل “Tokyo Midnight”). 3. كل جلسة لها لون مختلف: * **أزرق** → منتصف طوكيو * **أخضر** → منتصف لندن * **أحمر** → منتصف نيويورك ### 🕒 التعامل مع تغيّر التوقيت الصيفي والشتوي (DST): يتكيّف المؤشر تلقائيًا مع تغيّر التوقيت في لندن ونيويورك: * عندما تنتقل لندن بين **التوقيت الشتوي (GMT)** و**التوقيت الصيفي (GMT+1)**، يتحرك الخط تلقائيًا ليبقى في الساعة 00:00 المحلية. * وعندما تنتقل نيويورك بين **EST** و**EDT**، يتم تعديل الخط كذلك تلقائيًا. * أما طوكيو فلا تعتمد التوقيت الصيفي، لذا يبقى وقتها ثابتًا دائمًا على الساعة **00:00 JST**. ### 🎯 الفائدة: يساعد المتداولين على تحديد **بداية كل جلسة تداول رئيسية**، ومراقبة: * **تداخل الجلسات** مثل لندن ونيويورك * **تحركات السعر عند بداية اليوم الجديد** * **استراتيجيات التداول الزمنية حسب الجلسة** ---
Pine Script® göstergesi
CrownForex tarafından
mean reversion Spread Z-Score Your main "actor" is the Blue Line 🔵 (the Z-Score). It tells you if your spread is "expensive" or "cheap" compared to its average. The other lines are your action zones. Here is how to read the signals: Scenario 1: SELL the Spread (The spread is TOO EXPENSIVE) • ENTRY Signal: The Blue Line 🔵 moves up and crosses the Red Line 🔴 (at +1.8). • Meaning: MNQ has become far too expensive compared to MES. The rubber band is stretched too far upwards. • Your Action (Sell): • ✅ SELL MNQ • ✅ BUY MES • EXIT Signal: The Blue Line 🔵 comes back down and crosses the Dotted Red Line (at +0.5). • Meaning: The rubber band is back to normal. It's time to take your profits. • Your Action (Close): • ✅ BUY BACK your MNQ • ✅ SELL your MES Scenario 2: BUY the Spread (The spread is TOO CHEAP) • ENTRY Signal: The Blue Line 🔵 moves down and crosses the Green Line 🟢 (at -1.8). • Meaning: MNQ has become far too cheap compared to MES. The rubber band is stretched too far downwards. • Your Action (Buy): • ✅ BUY MNQ • ✅ SELL MES • EXIT Signal: The Blue Line 🔵 moves back up and crosses the Dotted Green Line (at -0.5). • Meaning: The rubber band is back to normal. It's time to take your profits. • Your Action (Close): • ✅ SELL your MNQ • ✅ BUY BACK your MES In summary: • Blue Line 🔵 touches Red Line 🔴 = Sell the spread. • Blue Line 🔵 touches Green Line 🟢 = Buy the spread.
Pine Script® göstergesi
andrisjeudi tarafından
Smooth Theil-SenI wanted to build a Theil-Sen estimator that could run on more than one bar and produce smoother output than the standard implementation. Theil-Sen regression is a non-parametric method that calculates the median slope between all pairs of points in your dataset, which makes it extremely robust to outliers. The problem is that median operations produce discrete jumps, especially when you're working with limited sample sizes. Every time the median shifts from one value to another, you get a step change in your regression line, which creates visual choppiness that can be distracting even though the underlying calculations are sound. The solution I ended up going with was convolving a Gaussian kernel around the center of the sorted lists to get a more continuous median estimate. Instead of just picking the middle value or averaging the two middle values when you have an even sample size, the Gaussian kernel weights the values near the center more heavily and smoothly tapers off as you move away from the median position. This creates a weighted average that behaves like a median in terms of robustness but produces much smoother transitions as new data points arrive and the sorted list shifts. There are variance tradeoffs with this approach since you're no longer using the pure median, but they're minimal in practice. The kernel weighting stays concentrated enough around the center that you retain most of the outlier resistance that makes Theil-Sen useful in the first place. What you gain is a regression line that updates smoothly instead of jumping discretely, which makes it easier to spot genuine trend changes versus just the statistical noise of median recalculation. The smoothness is particularly noticeable when you're running the estimator over longer lookback periods where the sorted list is large enough that small kernel adjustments have less impact on the overall center of mass. The Gaussian kernel itself is a bell curve centered on the median position, with a standard deviation you can tune to control how much smoothing you want. Tighter kernels stay closer to the pure median behavior and give you more discrete steps. Wider kernels spread the weighting further from the center and produce smoother output at the cost of slightly reduced outlier resistance. The default settings strike a balance that keeps the estimator robust while removing most of the visual jitter. Running Theil-Sen on multiple bars means calculating slopes between all pairs of points across your lookback window, sorting those slopes, and then applying the Gaussian kernel to find the weighted center of that sorted distribution. This is computationally more expensive than simple moving averages or even standard linear regression, but Pine Script handles it well enough for reasonable lookback lengths. The benefit is that you get a trend estimate that doesn't get thrown off by individual spikes or anomalies in your price data, which is valuable when working with noisy instruments or during volatile periods where traditional regression lines can swing wildly. The implementation maintains sorted arrays for both the slope calculations and the final kernel weighting, which keeps everything organized and makes the Gaussian convolution straightforward. The kernel weights are precalculated based on the distance from the center position, then applied as multipliers to the sorted slope values before summing to get the final smoothed median slope. That slope gets combined with an intercept calculation to produce the regression line values you see plotted on the chart. What this really demonstrates is that you can take classical statistical methods like Theil-Sen and adapt them with signal processing techniques like kernel convolution to get behavior that's more suited to real-time visualization. The pure mathematical definition of a median is discrete by nature, but financial charts benefit from smooth, continuous lines that make it easier to track changes over time. By introducing the Gaussian kernel weighting, you preserve the core robustness of the median-based approach while gaining the visual smoothness of methods that use weighted averages. Whether that smoothness is worth the minor variance tradeoff depends on your use case, but for most charting applications, the improved readability makes it a good compromise.
Pine Script® göstergesi
The_Peaceful_Lizard tarafından
4
Spread Trading Z-ScoreIndicator: Z-Score Spread Indicator Description The "Z-Score Spread Indicator" is a powerful tool for traders employing mean-reversion strategies on the spread between two financial assets (e.g., futures contracts like MNQ and MES). This indicator calculates and plots the Z-score of the price spread, indicating how far the current spread deviates from its historical mean. It features customizable entry and exit thresholds with adjustable offsets, along with an estimated p-value displayed in a table to assess statistical significance. Key Features Asset Selection: Allows users to select two asset symbols (e.g., CME_MINI:MNQ1! and CME_MINI:MES1!) via customizable inputs. Z-Score Calculation: Computes the Z-score based on the spread’s simple moving average and standard deviation over a user-defined lookback period. Customizable Thresholds with Offset: Offers adjustable base entry and exit thresholds, with an optional offset to fine-tune trading levels, plotted as horizontal lines. P-Value Estimation: Provides an approximate p-value to evaluate the statistical significance of the Z-score, displayed in a table anchored to the top-left corner. Visual Representation: Plots the Z-score with a zero line and threshold lines for intuitive interpretation. Adjustable Parameters Asset A Symbol: Symbol for Asset A (default: CME_MINI:MNQ1!). Asset B Symbol: Symbol for Asset B (default: CME_MINI:MES1!). Z-Score Lookback: Lookback period for Z-score calculation (default: 40, minimum 2). Base Entry Threshold: Threshold for entry signals (default: 1.8, adjustable with a step of 0.1). Base Exit Threshold: Threshold for exit signals (default: 0.5, adjustable with a step of 0.1). Threshold Offset (+/-): Offset to adjust entry and exit thresholds symmetrically (default: 0.0, range -5.0 to 5.0, step 0.1). Usage Add the indicator to your chart via the "Indicators" tab. Customize the parameters based on your preferred assets and trading strategy (lookback period, thresholds, offset). Observe the Z-score plot and threshold lines (red for short entry, green for long entry, orange dotted for exits) to identify potential trade setups. Check the p-value table in the top-left corner to assess the statistical significance of the current Z-score. Use this data to inform mean-reversion trading decisions, ideally in conjunction with other indicators. Notes A Z-score above the entry threshold (positive) or below the negative entry threshold suggests a potential short or long entry, respectively. Exits are signaled when the Z-score crosses the exit thresholds. The p-value is an approximation based on the normal distribution; a value below 0.05 typically indicates statistical significance, but further validation is recommended. The indicator uses a simple spread (Asset A - Asset B) without volatility adjustments; consider pairing it with a lots calculator for hedging. Limitations The p-value is an approximation and may not reflect advanced statistical tests (e.g., ADF) due to Pine Script constraints. No automatic trading signals are generated; it provides data for manual analysis. Author Developed by grogusama, October 15, 2025, 07:29 PM CEST.
Pine Script® göstergesi
Grogusama tarafından
2
VBE Pro - Advanced Volatility Bands with Zero Lag & PredictionVBE Pro: Zero-Lag Predictive Bands A next-gen volatility envelope that blends zero-lag smoothing with forward-looking volatility models (EWMA/GARCH/HAR/ML) to keep bands tight in calm markets, responsive in shocks, and adaptive across regimes. What it does Builds volatility from multiple methods (ATR, StDev, Parkinson, Garman-Klass, Rogers-Satchell, Yang-Zhang). Projects near-term vol with your choice of predictor, then blends it via a weight slider. Applies zero-lag smoothing (ZLEMA/ZLMA/DEMA/TEMA/HMA/JMA/Ehlers/Kalman/T3) to cut delay without over-shoot. Auto-adapts band width by regime (high/low/normal) and can expand dynamically with price acceleration. Optional displacement to align with your execution style. On-chart Upper/Lower zero-lag bands with optional fill. Middle line (ZL-smoothed source). Regime-tinted background (High/Low). Displacement marker (if used). Compact top-right info table: current vs predicted vol, regime, squeeze, multiplier, methods, ZL gain, est. lag reduction. Signals & Alerts Break↑ / Break↓ when price crosses the bands. Vol↑ / Vol↓ expansion/contraction sequences. “Squeeze” when band width compresses vs its ZL average. “ZL” marker when significant zero-lag is active. Prediction divergence ⚠ when projected vol deviates > threshold. Built-in alertconditions for all of the above. Quick start Method: ATR or Hybrid for robustness. Smoothing: ZLEMA, length 5–8, ZL gain 2–3 (push higher only if you accept more projection). Bands: Multiplier 2.0, Adaptive on, Dynamic off to start. Prediction: EWMA, weight 0.25–0.35. Move to GARCH in mean-reverty tapes; HAR-RV for mixed regimes. Regime lookback: 50.
Pine Script® göstergesi
andrew.gibbs777 tarafından
Liquidity Index with Advanced Statistical NormalizationLiquidity Index with Advanced Statistical Normalization An open-source TradingView indicator for analyzing global liquidity cycles using robust statistical methods Overview This Pine Script indicator combines multiple macroeconomic data sources to construct a composite liquidity index that tracks global financial conditions. It employs advanced statistical techniques typically found in quantitative finance research, adapted for real-time charting. Key Features 📊 Multi-Source Data Integration - Federal Reserve Components: Fed Funds Rate, Reverse Repo (RRP), Treasury General Account (TGA) - PBOC Components: China M2 Money Stock adjusted by CNY/USD exchange rate - Volatility Index: MOVE Index (bond market volatility) 🔬 Advanced Statistical Methods 1. Theil-Sen Estimator: Robust trend detection resistant to outliers 2. Triple Normalization: - Z-score normalization - MAD (Median Absolute Deviation) normalization - Quantile normalization via inverse normal CDF 3. Multi-Timeframe Analysis: Short (8-bar) and long (34-bar) windows with blended composite 📈 Signal Processing - Log-transformation for non-linear relationships - Smoothing via customizable SMA - Composite signal averaging across normalization methods Why This Approach? Traditional liquidity indicators often suffer from: - Sensitivity to outliers in economic data - Assumption of normal distributions - Single-timeframe bias This script addresses these issues by: - Using median-based robust statistics (Theil-Sen, MAD) - Applying multiple normalization techniques - Blending short and long-term perspectives Customization Options short_length // Short window (default: 8) long_length // Long window (default: 34) show_short // Display short composite show_long // Display long composite show_blended // Display blended signal smoothing_length // SMA smoothing period (default: 10) How to Use 1. Liquidity Expansion (positive values): Risk-on environment, favorable for asset prices 2. Liquidity Contraction (negative values): Risk-off environment, potential market stress 3. Divergences: Compare indicator direction vs. price action for early warnings Potential Improvements Community members are encouraged to enhance: - Additional data sources (ECB balance sheet, BOJ operations, etc.) - Alternative normalization methods (robust scaling, rank transformation) - Machine learning integration (LSTM forecasting, regime detection) - Alert conditions for liquidity inflection points - Volatility-adjusted weighting schemes Technical Notes - Uses request.security() for multi-symbol data fetching - All calculations handle missing data via nz() functions - Median-based statistics computed via array operations - Custom inverse CDF approximation (no external libraries required) Contributing This is a foundation for liquidity analysis. Potential extensions: - LLM Integration: Use language models to parse Fed/PBOC meeting minutes and adjust weights dynamically - Sentiment Layer: Incorporate crypto funding rates or options skew - Adaptive Parameters: Auto-tune window lengths based on market regime - Cross-Asset Validation: Backtest signals against BTC, equities, bonds --- License: Open source - modify and redistribute freelyDisclaimer: For educational purposes only. Not financial advice.
Pine Script® göstergesi
ai4profitinvestments tarafından
Bitcoin Power Law Corridor + Z-score This script visualizes the long-term Bitcoin Power Law Corridor, a conceptual model originally discussed by Harold Christopher Burger, and enhances it with a logarithmic Z-Score framework. The indicator plots Bitcoin’s long-term regression curve together with estimated resistance and support bands based on power-law relationships between price and time since inception. The added Z-Score expresses the statistical distance between price and the central regression line, using logarithmic scaling: Z ≈ 0 → price near its long-term fair-value trajectory. Z ≈ +2 → price near the lower corridor boundary (historically undervalued region). Z ≈ −2 → price near the upper corridor boundary (historically overheated region). This indicator is designed for visual and educational purposes only. It should not be considered financial advice, a predictive model, or a signal provider. Users should always combine this tool with other forms of technical, fundamental, and sentiment analysis to confirm confluence before making any decision.
Pine Script® göstergesi
S0905B tarafından
FVG Zones with Signals█ OVERVIEW "FVG Zones with Signals" is a technical analysis tool that identifies Fair Value Gaps (FVG) on the chart and draws customizable zones in the form of boxes. It is ideal for traders using price action and market structure strategies, helping to identify potential imbalance zones and trading opportunities based on breakout and exit signals. With flexible size filter settings, box styles, and signal options, the indicator ensures clarity and precision on the chart. █ CONCEPTS The indicator is designed to identify potential entry points for trades based on FVG breakouts or retests. For chart clarity, a size filter for FVGs is included, based on a multiplier of the average candle size over a specified period. Why are FVGs important? FVG zones represent areas of market imbalance, often attracting price back to "fill" the gap. Larger gaps (with a higher size multiplier) have a greater chance of being retested, as they indicate deeper imbalances—leaving more unexecuted orders in those zones, which attracts liquidity. Market makers and institutions often return to these levels to "refresh" liquidity before further moves. However, not every large FVG is retested quickly—in strong trends, smaller imbalances may be ignored, and the location (e.g., near swing highs/lows) is critical for retest probability. █ FEATURES - FVG Detection: Identifies bullish and bearish FVGs based on size filters (Candle Size Period and FVG Size Multiplier), with automatic initialization of historical gaps up to 500 candles back. - Customizable Boxes: Draws FVG boxes with adjustable border colors, background gradients, border styles (solid, dashed, dotted), border widths, and transparency for both the background and the 50% FVG midline. - Breakout and Exit Signals: Generates "Break" signals (green upward triangle for breakouts above bearish FVG, red downward triangle for breakouts below bullish FVG) and "Exit" signals (circles for exiting the zone), with options to select signal types (Break, Exit, or Both). A break signal causes the box to disappear, leaving a triangle as a trace of the breakout, which may serve as a signal to open a position. Exit signals (circles) may also indicate entry opportunities but require additional confirmation, such as alignment with the main trend. - Midline: Automatically draws a dashed line at the 50% FVG level with adjustable transparency, aiding in assessing price reactions within the zone. - Box Limitation: Automatically removes old or inactive FVGs after 500 candles to avoid chart clutter. - Alerts: Built-in alerts for all signal types, including price and FVG type descriptions. █ HOW TO USE Add to Chart: Apply the indicator to your TradingView chart via the Pine Editor or Indicators menu. Configure Settings: - FVG Settings: Adjust Candle Size Period (default 20) and FVG Size Multiplier (default 1) to filter out small gaps—higher values generate fewer but more significant FVGs. - Box Settings: Configure colors and styles for bullish (green) and bearish (red) boxes, including background transparency (default 80) and midline transparency. - Signal Settings: Select signal types (Break, Exit, or Both) in Signal Type. Breakout signals appear after a candle closes outside the zone, while exit signals appear when exiting an FVG without a full breakout. - Styling: Customize signal colors (green for buy/up, red for sell/down) and shape sizes. Interpreting Signals: - Break Up Signal: A green triangle below the bar indicates a breakout above a bearish FVG, suggesting potential continuation of an uptrend. - Break Down Signal: A red triangle above the bar indicates a breakout below a bullish FVG, suggesting potential continuation of a downtrend. - Exit Up/Down Signal: A green/red circle indicates an exit from an FVG without a full breakout, which may signal the end of a correction or preparation for a reversal. - FVG Zones: If the price returns to an FVG and fills the gap, it may indicate equilibrium; an unfilled gap often leads to a retest. - Use signals in conjunction with other technical analysis tools for confirmation, such as RSI (to identify overbought/oversold conditions) or MACD (to confirm momentum). Analyze FVGs from higher timeframes—these zones act as stronger imbalance levels and carry greater structural significance. Exit signals (retests without breakouts) tend to be most effective when traded in line with the current trend. █ APPLICATIONS - Price Action Trading: Use FVG zones as dynamic support and resistance levels. In an uptrend, look for buying opportunities in bullish FVGs, where price often tests the gap before continuing. Combining with RSI, MACD, or Fibonacci levels enhances the significance of zones. - Breakout Strategies: Trade based on breakout signals from FVGs. A buy signal after breaking a bearish FVG may indicate a strong upward impulse, especially when supported by a rising MACD or RSI exiting oversold conditions. Larger FVG gaps (higher multiplier) have a greater chance of retest, as they indicate deeper imbalances. █ NOTES - Test the indicator across different timeframes and markets (stocks, forex, crypto) to optimize size filters for your trading style. - The indicator initializes historical FVGs up to 500 candles back, which may slow loading on longer charts. - For best results, use on high-liquidity markets where FVGs are more frequently retested. - In consolidation zones, the indicator may generate more false signals, so additional confirmation is recommended.
Pine Script® göstergesi
Uncle_the_shooter tarafından
Machine Learning Price Predictor: Ridge AR [Bitwardex]🔹Machine Learning Price Predictor: Ridge AR is a research-oriented indicator demonstrating the use of Regularized AutoRegression (Ridge AR) for short-term price forecasting. The model combines autoregressive structure with Ridge regularization , providing stability under noisy or volatile market conditions. The latest version introduces Bull and Bear signals , visually representing the current momentum phase and model direction directly on the chart. Unlike traditional linear regression, Ridge AR minimizes overfitting, stabilizes coefficient dynamics, and enhances predictive consistency in correlated datasets. The script plots: Fit Line — in-sample fitted data; Forecast Line — out-of-sample projection; Trend Segments — color-coded bullish/bearish sections; Bull/Bear Labels 🐂🐻 — dynamic visual signals showing directional bias. Designed for researchers, students, and developers, this tool helps explore regularized time-series forecasting in Pine Script™. 🧩 Ridge AR Settings Training Window — number of bars used for model training; Forecast Horizon — forecast length (bars ahead); AR Order — number of lags used as features; Ridge Strength (λ) — regularization coefficient; Damping Factor — exponential trend decay rate; Trend Length — period for trend/volatility estimation; Momentum Weight — strength of the recent move; Mean Reversion — pullback intensity toward the mean. 🧮 Data Processing Prefilter: None — raw close price; EMA — exponential smoothing; SuperSmoother — Ehlers filter for noise reduction. EMA Length, SuperSmoother Length — smoothing parameters. 🖥️ Display Settings Update Mode: Lock — static model; Update Once Reached — rebuild after forecast horizon; Continuous — update every bar. Forecast Color — projection line color; Bullish/Bearish Colors — colors for trend segments. 🐂🐻 Bull/Bear Signal System The Bull/Bear Signal System adds directional visual cues to highlight local momentum shifts and model-based trend confirmation. Bull (🐂) — appears when upward momentum is confirmed (momentum > 0) . Displayed below the bar, colored with Bullish Color. Bear (🐻) — appears when downward momentum is dominant (momentum < 0) . Displayed above the bar, colored with Bearish Color. Signals are generated during model recalculations or when the directional bias changes in Continuous mode. These visual markers are analytical aids , not trading triggers. 🧠 Core Algorithmic Components Regularized AutoRegression (Ridge AR): Solves: (X′X+λI)−1X′y to derive stable regression coefficients. Matrix and Pseudoinverse Operations — implemented natively in Pine Script™. Prefiltering (EMA / Ehlers SuperSmoother) — stabilizes noisy data. Forecast Dynamics — integrates damping, momentum, and mean reversion. Trend Visualization — color-coded bullish/bearish line segments. Bull/Bear Signal Engine — visualizes real-time impulse direction. 📊 Applications Academic and educational purposes; Demonstration of Ridge Regression and AR models; Analysis of bull/bear market phase transitions; Visualization of time-series dependencies. ⚠️ Disclaimer This script is provided for educational and research purposes only. It does not provide trading or investment advice. The author assumes no liability for financial losses resulting from its use. Use responsibly and at your own risk.
Pine Script® göstergesi
bitwardex tarafından
LSVR - Liquidity Sweep & Volume ReversalLSVR condenses a pro workflow into one visual overlay: Higher-Timeframe (HTF) Trend → Liquidity Sweep & Reclaim → Volume Confirmation. A signal only prints when all three gates align at bar close, and the chart shows everything you need—trend context, the sweep “trap” candle, and a projected Entry/SL/TP based on your chosen R multiple. How it works HTF Trend Filter: Projects a smoothed KAMA/EMA from a higher timeframe to the chart using a safe, lookahead-off request. Long signals are considered only above the HTF line; shorts only below. Liquidity Sweep & Reclaim: Finds confirmed swing highs/lows, then detects an ATR-scaled overshoot through that swing followed by a reclaim (close back inside a configurable % of the bar range). Volume Confirmation: Requires either a volume spike over Volume SMA × multiplier or optional OBV divergence. No participation = no signal. Score: Each setup is scored: trend (0/1) + overshoot strength (0..1.5) + conviction (0/1). Signals fire only when the score ≥ Min Signal Score. What you see HTF Ribbon (subtle green/red backdrop) for bias. Sweep Box on the signal candle (green = long, red = short). Signal markers (“L” / “S”) with a small score label. Projected lines that persist until the next signal: Entry (close), Stop (beyond swept swing), Target (R multiple). Heatmap that intensifies when the score crosses your threshold. Dashboard (top-right): HTF direction, Volume×SMA, current Score, gate pass status. Tooltip on the last bar with quick stats. Quick start Apply to any liquid symbol and set HTF to ~3–6× your chart timeframe (e.g., 15m chart → 1H–4H). Trade with the HTF trend: take L signals above the HTF line and S signals below it. Entry = signal bar close, SL = beyond the swept swing, TP = your Projected Take-Profit (R). Tighten or loosen selectivity with Min Signal Score, Reclaim %, Overshoot (ATR×), and Cooldown. Recommended presets Choppy/crypto 15m: minScore 1.25, reclaimPct 0.60–0.65, overshootATR 1.0–1.2, useOBVDiv=false, cooldown 8. FX 5m / session trend: minScore 1.0–1.1, reclaimPct 0.50–0.55, overshootATR 0.8–1.0, useOBVDiv=true, cooldown 5. Indices 1m (RTH): minScore 1.2, reclaimPct 0.55–0.60, useOBVDiv=false, cooldown 10. Non-repainting by design HTF values use lookahead_off with realtime offset. Swings are confirmed pivots (no “forming” pivots). Signals print at bar close only. Notes OBV divergence can add sensitivity on liquid markets; keep it off for stricter filtering. Use Cooldown to avoid clustered sweeps. This is an overlay/analysis tool, not financial advice. Test settings in Replay/Paper Trading before using live.
Pine Script® göstergesi
Finntech1 tarafından
Normalized Portfolio TrackerThis script lets you create, visualize, and track a custom portfolio of up to 15 assets directly on TradingView. It calculates a synthetic "portfolio index" by combining multiple tickers with user-defined weights, automatically normalizing them so the total allocation always equals 100%. All assets are scaled to a common starting point, allowing you to compare your portfolio’s performance versus any benchmark like SPY, QQQ, or BTC. 🚀 Goal This script helps traders and investors: • Understand the combined performance of their portfolio. • Normalize diverse assets into a single synthetic chart . • Make portfolio-level insights without relying on external spreadsheets. 🎯 Use Cases • Backtest your portfolio allocations directly on the chart. • Compare your portfolio vs. benchmarks like SPY, QQQ, BTC. • Track thematic baskets (commodities, EV supply chain, regional ETFs). • Visualize how each component contributes to overall performance. 📊 Features • Weighted Portfolio Performance : Combines selected assets into a synthetic value series. • Base Price Alignment : Each asset is normalized to its starting price at the chosen date. • Dynamic Portfolio Table : Displays symbols, normalized weights (%), equivalent shares (based on each asset’s start price, sums to 100 shares), and a total row that always sums to 100%. • Multi-Asset Support : Works with stocks, ETFs, indices, crypto, or any TradingView-compatible symbol. ⚙️ Configuration Flexible Portfolio Setup • Add up to 15 assets with custom weight inputs. • You can enter any arbitrary numbers (e.g. 30, 15, 55). • The script automatically normalizes all weights so the total allocation always equals 100%. Start Date Selection • Choose any custom start date to normalize all assets. • The portfolio value is then scaled relative to the main chart symbol, so you can directly compare portfolio performance against benchmarks like SPY or QQQ. Chart Styles • Candlestick chart • Heikin Ashi chart • Line chart Custom Display • Adjustable colors and line widths • Optionally display asset list, normalized weights, and equivalent shares ⚙️ How It Works • Fetch OHLC data for each asset. • Normalizes weights internally so totals = 100%. • Stores each asset’s base price at the selected start date. • Calculates equivalent “shares” for each allocation. • Builds a synthetic portfolio value series by summing weighted contributions. • Renders as Candlestick, Heikin Ashi, or Line chart. • Adds a portfolio info table for clarity. ⚠️ Notes • This script is for visualization only . It does not place trades or auto-rebalance. • Weight inputs are automatically normalized, so you don’t need to enter exact percentages.
Pine Script® göstergesi
dehypnosis tarafından
Regression Channel (ShareScope-style, parallel)What it does Replicates ShareScope’s Trend of displayed data look: a single straight linear-regression line (dashed) across a chosen window with parallel, constant-width bands above and below, plus optional shading. Use it to see the overall trend gradient for a period and a statistically sized channel based on the fit’s residual error. How it works (math, short) Computes an OLS regression once over the analysis window. Residual standard error s is derived from SSE and degrees of freedom (n−2). Band half-width is constant across the window: Mean CI (narrower): half = z * s / √n Prediction (wider): half = z * s * √(1 + 1/n) Three straight, parallel lines are drawn from the regression endpoints; midline is dashed. This is intentionally not a tapered CI (which widens at the ends). It matches the visual behaviour of ShareScope’s shaded trend line channel. Inputs Source – Price series (Close, High, Low, HL2, etc.). Use last N bars / N (bars) – Rolling window length. From / To (date mode) – Alternative fixed date window. Confidence (%) – 90 / 95 / 99 / Custom (uses z≈t). Custom Z (t) – Override the quantile if desired. Prediction bands – Use wider prediction envelope instead of mean CI. Shade region + colors / opacity / line width. Usage To mimic ShareScope exactly, pick the same date span (use date mode) and set Confidence 99%. Choose Prediction OFF for a tighter “confidence” look; ON for a wider, more permissive channel. If ShareScope used High as source, set Source = High here as well. Notes & limitations TradingView does not expose the visible viewport to Pine. The script cannot auto-read “displayed data.” Use last N bars or date range. Bands are parallel by design. Prices may close outside; the channel does not bend. Window capped at 5,000 bars for performance. No alerts are emitted. Differences vs TV’s native tools Linear Regression (drawing) – manual object; no statistical sizing or shading. Linear Regression Channel (indicator) – uses price standard deviations around the regression; width is a user stdev multiple. This script – uses residual error of the OLS fit and a z/t quantile to size a statistically meaningful parallel channel. Changelog r3.1 – Guard fix (no return at top level), minor refactor, stable line updates. r3 – Switched to single-fit OLS with parallel constant-width bands (ShareScope look). (Earlier experimental builds r1–r2.2 implemented rolling/tapered CI; superseded.) Disclaimer: Educational use only. Not investment advice.
Pine Script® göstergesi
paulgill28 tarafından
Order Block Volumatic FVG StrategyInspired by: Volumatic Fair Value Gaps — License: CC BY-NC-SA 4.0 (Creative Commons Attribution–NonCommercial–ShareAlike). This script is a non-commercial derivative work that credits the original author and keeps the same license. What this strategy does This turns BigBeluga’s visual FVG concept into an entry/exit strategy. It scans bullish and bearish FVG boxes, measures how deep price has mitigated into a box (as a percentage), and opens a long/short when your mitigation threshold and filters are satisfied. Risk is managed with a fixed Stop Loss % and a Trailing Stop that activates only after a user-defined profit trigger. Additions vs. the original indicator ✅ Strategy entries based on % mitigation into FVGs (long/short). ✅ Lower-TF volume split using upticks/downticks; fallback if LTF data is missing (distributes prior bar volume by close’s position in its H–L range) to avoid NaN/0. ✅ Per-FVG total volume filter (min/max) so you can skip weak boxes. ✅ Age filter (min bars since the FVG was created) to avoid fresh/immature boxes. ✅ Bull% / Bear% share filter (the 46%/53% numbers you see inside each FVG). ✅ Optional candle confirmation and cooldown between trades. ✅ Risk management: fixed SL % + Trailing Stop with a profit trigger (doesn’t trail until your trigger is reached). ✅ Pine v6 safety: no unsupported args, no indexof/clamp/when, reverse-index deletes, guards against zero/NaN. How a trade is decided (logic overview) Detect FVGs (same rules as the original visual logic). For each FVG currently intersected by the bar, compute: Mitigation % (how deep price has entered the box). Bull%/Bear% split (internal volume share). Total volume (printed on the box) from LTF aggregation or fallback. Age (bars) since the box was created. Apply your filters: Mitigation ≥ Long/Short threshold. Volume between your min and max (if enabled). Age ≥ min bars (if enabled). Bull% / Bear% within your limits (if enabled). (Optional) the current candle must be in trade direction (confirm). If multiple FVGs qualify on the same bar, the strategy uses the most recent one. Enter long/short (no pyramiding). Exit with: Fixed Stop Loss %, and Trailing Stop that only starts after price reaches your profit trigger %. Input settings (quick guide) Mitigation source: close or high/low. Use high/low for intrabar touches; close is stricter. Mitigation % thresholds: minimal mitigation for Long and Short. TOTAL Volume filter: skip FVGs with too little/too much total volume (per box). Bull/Bear share filter: require, e.g., Long only if Bull% ≥ 50; avoid Short when Bull% is high (Short Bull% max). Age filter (bars): e.g., ≥ 20–30 bars to avoid fresh boxes. Confirm candle: require candle direction to match the trade. Cooldown (bars): minimum bars between entries. Risk: Stop Loss % (fixed from entry price). Activate trailing at +% profit (the trigger). Trailing distance % (the trailing gap once active). Lower-TF aggregation: Auto: TF/Divisor → picks 1/3/5m automatically. Fixed: choose 1/3/5/15m explicitly. If LTF can’t be fetched, fallback allocates prior bar’s volume by its close position in the bar’s H–L. Suggested starting presets (you should optimize per market) Mitigation: 60–80% for both Long/Short. Bull/Bear share: Long: Bull% ≥ 50–70, Bear% ≤ 100. Short: Bull% ≤ 60 (avoid shorting into strong support), Bear% ≥ 0–70 as you prefer. Age: ≥ 20–30 bars. Volume: pick a min that filters noise for your symbol/timeframe. Risk: SL 4–6%, trailing trigger 1–2%, distance 1–2% (crypto example). Set slippage/fees in Strategy Properties. Notes, limitations & best practices Data differences: The LTF split uses request.security_lower_tf. If the exchange/data feed has sparse LTF data, the fallback kicks in (it’s deliberate to avoid NaNs but is a heuristic). Real-time vs backtest: The current bar can update until close; results on historical bars use closed data. Use “Bar Replay” to understand intrabar effects. No pyramiding: Only one position at a time. Modify pyramiding in the header if you need scaling. Assets: For spot/crypto, TradingView “volume” is exchange volume; in some markets it may be tick volume—interpret filters accordingly. Risk disclosure: Past performance ≠ future results. Use appropriate position sizing and risk controls; this is not financial advice. Credits Visual FVG concept and original implementation: BigBeluga. This derivative strategy adds entry/exit logic, volume/age/share filters, robust LTF handling, and risk management while preserving the original spirit. License remains CC BY-NC-SA 4.0 (non-commercial, attribution required, share-alike).
Pine Script® stratejisi
TagsTrading tarafından
1
EMA Separation (LFZ Scalps) v6 — Early TriggerPlots the percentage distance between a fast and a slow EMA (default 9 & 21) to gauge trend strength and filter out choppy London Flow Zone breakouts. • Gray – EMAs nearly flat (low momentum, avoid trades) • Orange – early trend building • Green/Red – strong directional momentum Useful for day-traders: wait for the gap to widen beyond your chosen threshold (e.g., 0.25 %) before entering a breakout. Adjustable EMA lengths and alert when the separation exceeds your “strong trend” level.
Pine Script® göstergesi
jamesmchugh44 tarafından
Nadaraya-Watson Multi-TF DashboardThis script is a Multi-Timeframe Flip State Dashboard based on Nadaraya-Watson: Rational Quadratic Kernel (Non-Repainting) indicator. It visualizes trend "flip" states across up to 8 custom timeframes using a consistent, non-repainting methodology. Built on 1-minute data, each timeframe row in the table updates only after its bar fully closes, ensuring accuracy and eliminating repainting issues. Key features: ✅ Based on the Nadaraya-Watson Rational Quadratic Kernel, used to estimate trend direction 🧠 Each timeframe uses the same base 1-minute data for consistency across resolutions 🔄 Flip state detection is defined by slope reversals in the kernel regression 🧱 Fully supports non-repainting, close-confirmed states using lookahead=off 🧮 Configurable lookback window, kernel weighting, lag, and timeframes 🎨 Visual dashboard plots each TF’s state as a colored cell (green for bullish, red for bearish) 🛠️ Includes inline plots and debug traces to help visualize regression and flip logic This dashboard is ideal for traders who want a compact visual overview of confirmed trend shifts across multiple timeframes, all using a mathematically grounded, TF-consistent model.
Pine Script® göstergesi
TomKirk tarafından
Analitica Trading — Previous Day SR (2 lines + labels) 2.0📊 Analitica Trading — Previous Day SR (Support & Resistance) This indicator displays the previous day’s key levels on any timeframe: Prev High → Green horizontal line with label. Prev Low → Red horizontal line with label. 🔹 Stable across timeframes: The levels are calculated from the daily candles and remain fixed, no matter if you switch to 1D, 1H, or 5m. 🔹 Simple & clean: Exactly two lines only (no duplicates). 🔹 Price labels included: Each line has a clear tag showing the exact level. 🔹 Dynamic update: Lines refresh automatically at the start of each new daily session. 🔹 Alerts: Optional alerts trigger when the price breaks above the Prev High or below the Prev Low. 💡 Ideal for support/resistance trading, breakouts, and Smart Money Concepts (SMC) strategies.
Pine Script® göstergesi
guevara14489790 tarafından