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UMA Scalping Level 2025UMA Scalping Level 2025は、「直近で市場が意識している高値・安値ライン」と 「短期トレンドの勢い（EMAクロス）」を同時に捉えるスキャルピング特化型インジケーターです。 "UMA Scalping Level 2025" is a scalping-focused indicator that simultaneously captures the recent key swing highs and lows that the market is reacting to, and the short-term momentum identified by EMA crossovers.
Chỉ báo Pine Script®
của fxdeuma
Multi-Timeframe EMA Trend Dashboard with Volume and RSI Filters═══════════════════════════════════════════════════════════ MULTI-TIMEFRAME EMA TREND DASHBOARD ═══════════════════════════════════════════════════════════ OVERVIEW This indicator provides a comprehensive view of trend direction across multiple timeframes using the classic EMA 20/50 crossover methodology, enhanced with volume confirmation and RSI filtering. It aggregates trend information from six timeframes into a single dashboard for efficient market analysis. The indicator is designed for educational purposes and to assist traders in identifying potential trend alignments across different time horizons. ═══════════════════════════════════════════════════════════ FEATURES ═══════════════════════════════════════════════════════════ MULTI-TIMEFRAME ANALYSIS • Monitors 6 timeframes simultaneously: 1m, 5m, 15m, 1H, 4H, 1D • Each timeframe analyzed independently using request.security() • Non-repainting implementation with proper lookahead settings • Calculates overall trend strength as percentage of bullish timeframes EMA CROSSOVER SYSTEM • Fast EMA (default: 20) and Slow EMA (default: 50) • Bullish: Fast EMA > Slow EMA • Bearish: Fast EMA < Slow EMA • Neutral: Fast EMA = Slow EMA (rare condition) • Visual EMA plots with optional fill area VOLUME CONFIRMATION • Optional volume filter for crossover signals • Compares current volume against moving average (default: 20-period SMA) • Categorizes volume as: High (>1.5x average), Normal (>average), Low (70), oversold (<30), and neutral zones • Used in quality score calculation • Optional display toggle SUPPORT & RESISTANCE DETECTION • Automatic detection using highest/lowest over lookback period (default: 50 bars) • Plots resistance (red), support (green), and mid-level (gray) • Step-line style for clear visualization • Optional display toggle QUALITY SCORING SYSTEM • Rates trade setups from 1-5 stars • Considers: MTF alignment, volume confirmation, RSI positioning • 5 stars: 4+ timeframes aligned + volume confirmed + RSI 50-70 • 4 stars: 4+ timeframes aligned + volume confirmed • 3 stars: 3+ timeframes aligned • 2 stars: Exactly 3 timeframes aligned • 1 star: Other conditions VISUAL DASHBOARD • Clean table display (position customizable) • Color-coded trend indicators (green/red/yellow) • Extended statistics panel (toggleable) • Shows: Trends, Strength, Quality, RSI, Volume, Price Distance ═══════════════════════════════════════════════════════════ TECHNICAL SPECIFICATIONS ═══════════════════════════════════════════════════════════ CALCULATIONS Trend Determination per Timeframe: • request.security() fetches EMA values with gaps=off, lookahead=off • Compares Fast EMA vs Slow EMA • Returns: 1 (bullish), -1 (bearish), 0 (neutral) Trend Strength: • Counts number of bullish timeframes • Formula: (bullish_count / 6) × 100 • Range: 0% (all bearish) to 100% (all bullish) Price Distance from EMA: • Formula: ((close - EMA) / EMA) × 100 • Positive: Price above EMA • Negative: Price below EMA • Warning when absolute distance > 5% ANTI-REPAINTING MEASURES • All request.security() calls use lookahead=barmerge.lookahead_off • Dashboard updates only on barstate.islast • Historical bars remain unchanged • Crossover signals finalize on bar close ═══════════════════════════════════════════════════════════ USAGE GUIDE ═══════════════════════════════════════════════════════════ INTERPRETING THE DASHBOARD Timeframe Rows: • Each row shows individual timeframe trend status • Look for alignment (multiple timeframes same direction) • Higher timeframes generally more significant Strength Indicator: • >66.67%: Strong bullish (4+ timeframes bullish) • 33.33-66.67%: Mixed/choppy conditions • <33.33%: Strong bearish (4+ timeframes bearish) Quality Score: • Higher stars = better confluence of factors • 5-star setups have strongest multi-factor confirmation • Lower scores may indicate weaker or conflicting signals SUGGESTED APPLICATIONS Trend Confirmation: • Check if multiple timeframes confirm current chart trend • Higher agreement = stronger trend confidence • Use for position sizing decisions Entry Timing: • Wait for EMA crossover on chart timeframe • Confirm with higher timeframe alignment • Volume above average preferred • RSI not in extreme zones Divergence Detection: • When lower timeframes diverge from higher • May indicate trend exhaustion or reversal • Requires additional confirmation CUSTOMIZATION EMA Settings: • Adjust Fast/Slow lengths for different sensitivities • Shorter periods = more responsive, more signals • Longer periods = smoother, fewer signals • Common alternatives: 10/30, 12/26, 50/200 Volume Filter: • Enable for higher-quality signals (fewer false positives) • Disable in always-liquid markets or for more signals • Adjust MA length based on typical volume patterns Display Options: • Toggle EMAs, S/R levels, extended stats as needed • Choose dashboard position to avoid chart overlap • Adjust colors for visibility preferences ═══════════════════════════════════════════════════════════ ALERTS ═══════════════════════════════════════════════════════════ AVAILABLE ALERT CONDITIONS 1. Bullish EMA Cross (Volume Confirmed) 2. Bearish EMA Cross (Volume Confirmed) 3. Strong Bullish Alignment (4+ timeframes) 4. Strong Bearish Alignment (4+ timeframes) 5. Trend Strength Increasing (>16.67% jump) 6. Trend Strength Decreasing (>16.67% drop) 7. Excellent Trade Setup (5-star rating) Alert messages use standard placeholders: • {{ticker}} - Symbol name • {{close}} - Current close price • {{time}} - Bar timestamp ═══════════════════════════════════════════════════════════ LIMITATIONS & CONSIDERATIONS ═══════════════════════════════════════════════════════════ KNOWN LIMITATIONS • Lower timeframe data may not be available on all symbols • 1-minute data typically limited to recent history • request.security() subject to TradingView data limits • Dashboard requires screen space (may overlap on small screens) • More complex calculations may affect load time on slower devices NOT SUITABLE FOR • Highly volatile/illiquid instruments (many false signals) • News-driven markets during announcements • Automated trading without additional filters • Markets where EMA strategies don't perform well DOES NOT PROVIDE • Exact entry/exit prices • Stop-loss or take-profit levels • Position sizing recommendations • Guaranteed profit signals • Market predictions ═══════════════════════════════════════════════════════════ BEST PRACTICES ═══════════════════════════════════════════════════════════ RECOMMENDED USAGE ✓ Combine with price action analysis ✓ Use appropriate risk management ✓ Backtest on historical data before live use ✓ Adjust settings for specific market characteristics ✓ Wait for higher-quality setups in important trades ✓ Consider overall market context and fundamentals NOT RECOMMENDED ✗ Using as standalone trading system without confirmation ✗ Trading every signal without discretion ✗ Ignoring risk management principles ✗ Trading without understanding the methodology ✗ Applying to unsuitable markets/timeframes ═══════════════════════════════════════════════════════════ EDUCATIONAL BACKGROUND ═══════════════════════════════════════════════════════════ EMA CROSSOVER STRATEGY The Exponential Moving Average crossover is a classical trend-following technique: • Golden Cross: Fast EMA crosses above Slow EMA (bullish signal) • Death Cross: Fast EMA crosses below Slow EMA (bearish signal) • Widely used since the 1970s in various markets • More responsive than SMA due to exponential weighting MULTI-TIMEFRAME ANALYSIS Analyzing multiple timeframes helps traders: • Identify alignment between short and long-term trends • Reduce false signals from single-timeframe noise • Understand market context across different horizons • Make informed decisions about trade duration VOLUME ANALYSIS Volume confirmation adds reliability: • High volume suggests institutional participation • Low volume signals may indicate false breakouts • Volume precedes price in many market theories • Helps distinguish genuine moves from noise ═══════════════════════════════════════════════════════════ TECHNICAL IMPLEMENTATION ═══════════════════════════════════════════════════════════ CODE STRUCTURE • Organized in clear sections with proper commenting • Uses explicit type declarations (int, float, bool, color, string) • Constants defined at top (BULLISH=1, BEARISH=-1, etc.) • Functions documented with @function, @param, @returns • Follows PineCoders naming conventions (camelCase variables) PERFORMANCE OPTIMIZATION • var keyword for table (created once, not every bar) • Calculations cached where possible • Dashboard updates only on last bar • Minimal redundant security() calls SECURITY IMPLEMENTATION • Proper gaps and lookahead parameters • No future data leakage • Signals finalize on bar close • Historical bars remain static ═══════════════════════════════════════════════════════════ VERSION INFORMATION ═══════════════════════════════════════════════════════════ Current Version: 2.0 Pine Script Version: 5 Last Updated: 2024 Developed by: Zakaria Safri ═══════════════════════════════════════════════════════════ SETTINGS REFERENCE ═══════════════════════════════════════════════════════════ EMA SETTINGS • Fast EMA Length: 1-500 (default: 20) • Slow EMA Length: 1-500 (default: 50) VOLUME & MOMENTUM • Use Volume Confirmation: true/false (default: true) • Volume MA Length: 1-500 (default: 20) • Show RSI Levels: true/false (default: true) • RSI Length: 1-500 (default: 14) PRICE ACTION FEATURES • Show Price Distance: true/false (default: true) • Show Key Levels: true/false (default: true) • S/R Lookback Period: 10-500 (default: 50) DISPLAY SETTINGS • Show EMAs on Chart: true/false (default: true) • Fast EMA Color: customizable (default: cyan) • Slow EMA Color: customizable (default: orange) • EMA Line Width: 1-5 (default: 2) • Show Fill Between EMAs: true/false (default: true) • Show Crossover Signals: true/false (default: true) DASHBOARD SETTINGS • Position: Top Left/Right, Bottom Left/Right • Show Extended Statistics: true/false (default: true) ALERT SETTINGS • Alert on Multi-TF Alignment: true/false (default: true) • Alert on Trend Strength Change: true/false (default: true) ═══════════════════════════════════════════════════════════ RISK DISCLAIMER ═══════════════════════════════════════════════════════════ This indicator is provided for educational and informational purposes only. It should not be considered financial advice or a recommendation to buy or sell any security. IMPORTANT NOTICES: • Past performance does not indicate future results • All trading involves risk of capital loss • No indicator guarantees profitable trades • Always conduct independent research and analysis • Use proper risk management and position sizing • Consult a qualified financial advisor before trading • The developer assumes no liability for trading losses By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions. ═══════════════════════════════════════════════════════════ SUPPORT & CONTRIBUTIONS ═══════════════════════════════════════════════════════════ FEEDBACK WELCOME • Constructive comments appreciated • Bug reports help improve the indicator • Feature suggestions considered for future versions • Share your experience to help other users OPEN SOURCE This code is published as open source for the TradingView community to: • Learn from the implementation • Modify for personal use • Understand multi-timeframe analysis techniques If you find this indicator useful, please consider: • Leaving a thoughtful review • Sharing with other traders who might benefit • Following for future updates and releases ═══════════════════════════════════════════════════════════ ADDITIONAL RESOURCES ═══════════════════════════════════════════════════════════ RECOMMENDED READING • TradingView Pine Script documentation • PineCoders community resources • Technical analysis textbooks on moving averages • Multi-timeframe trading strategy guides • Risk management principles RELATED CONCEPTS • Trend following strategies • Moving average convergence/divergence • Multiple timeframe analysis • Volume-price relationships • Momentum indicators ═══════════════════════════════════════════════════════════ Thank you for using this indicator. Trade responsibly and continue learning! ═══════════════════════════════════════════════════════════
Chỉ báo Pine Script®
của zakariasafri47
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Chỉ báo Pine Script®
của NooJaloon
Customized Double Bollinger Bands🌐 English Version This indicator combines two Bollinger Bands to visualize both short-term and extreme volatility zones on the same chart. While a standard Bollinger Band shows how far price deviates from its mean, this customized version displays two standard deviation ranges, allowing traders to distinguish between mild and extreme volatility conditions. Band 1 (StdDev 0.5) captures short-term fluctuations near the price average, while Band 2 (StdDev 3.0) highlights overbought or oversold conditions at market extremes. When the distance between the two bands widens, volatility is increasing; when it narrows, the market is stabilizing or preparing for a breakout. ㆍPrice breaking above Band 2 → Potential overbought or strong bullish trend ㆍPrice falling below Band 2 → Possible oversold or bearish continuation ㆍBands tightening → Volatility compression, potential reversal zone This indicator is designed primarily for volatility visualization rather than directional prediction. For higher accuracy, use it alongside RSI, MACD, or trend-based indicators. Developed by wjdtks255
Chỉ báo Pine Script®
của wjdtks255
1
Customized Double Bollinger Bands🌐 English Version This indicator combines two Bollinger Bands to visualize both short-term and extreme volatility zones on the same chart. While a standard Bollinger Band shows how far price deviates from its mean, this customized version displays two standard deviation ranges, allowing traders to distinguish between mild and extreme volatility conditions. Band 1 (StdDev 0.5) captures short-term fluctuations near the price average, while Band 2 (StdDev 3.0) highlights overbought or oversold conditions at market extremes. When the distance between the two bands widens, volatility is increasing; when it narrows, the market is stabilizing or preparing for a breakout. ㆍPrice breaking above Band 2 → Potential overbought or strong bullish trend ㆍPrice falling below Band 2 → Possible oversold or bearish continuation ㆍBands tightening → Volatility compression, potential reversal zone This indicator is designed primarily for volatility visualization rather than directional prediction. For higher accuracy, use it alongside RSI, MACD, or trend-based indicators. Developed by wjdtks255
Chỉ báo Pine Script®
của wjdtks255
1
Reversal Zones// This indicator identifies likely reversal zones above and below current price by aggregating multiple technical signals: // • Prior Day High/Low // • Opening Range (9:30–10:00) // • VWAP ±2 standard deviations // • 60‑minute Bollinger Bands // It draws shaded boxes for each base level, then computes a single upper/lower reversal zone (closest level from combined signals), // with configurable zone width based on the expected move (EM). Within those reversal zones, it highlights an inner “strike zone” // (percentage of the box) to suggest optimal short-option strikes for credit spreads or iron condors. // Additional features: // • Optional Expected Move lines from the RTH open // • 15‑minute RSI/Mean‑Reversion and Trend‑Day confluence flags displayed in a dashboard // • Toggles to include/exclude each signal and adjust styling // How to use: // 1. Adjust inputs to select which levels to include and set the expected move parameters. // 2. Reversal boxes (red above, green below) show zones where price is most likely to reverse. // 3. Inner strike zones (darker shading) guide optimal short-strike placement. // 4. Dashboard confirms whether mean-reversion or trend-day conditions are active. // Customize colors and visibility in the settings panel. Enjoy disciplined, confluence-based trade entries!
Chỉ báo Pine Script®
của shyTortoise84341
TrendLinePro IndicatorTrendLinePro Indicator — Simple Market Direction & Flip Detector The TrendLinePro Indicator combines the precision of Supertrend, Money Line, and Heikin Ashi logic to create a smooth, adaptive trend line that responds intelligently to volatility using the ATR (Average True Range). When momentum shifts, TrendLinePro instantly highlights the flip level and labels the new trend direction — helping traders stay aligned with the market’s true structure and avoid misleading noise. Key Features Automatic Trend Detection Quickly identifies whether the market is in a bullish or bearish phase with a seamless color transition. Flip Level Marker Shows the exact price level where sentiment flipped — the line updates live as new candles form. Visual Clarity Green line for bullish conditions, red for bearish — clean, intuitive, and easy to read. Smart Labels “Bullish” and “Bearish” markers automatically appear at each reversal for instant visual confirmation. Alerts Ready Get notified the moment a flip occurs — stay informed without watching charts all day. Clean Design Minimalist and optimized for visibility — integrates effortlessly with any chart setup. How to Use Use the line’s direction and flips to time entries and exits with confidence. Combine with support/resistance, volume, or order block tools for added confluence. Adjust ATR Length and Factor to fine-tune responsiveness to your trading style. For swing trading, the 4H or Daily chart offers the highest reliability. For scalping, reduce the ATR period for quicker, more responsive flips. Website: trendlineproindicator.com
Chỉ báo Pine Script®
của AdrianoCelentano
The Vishnu Zone Ver 2 by Dr. Sudhir Khollam## 📜 **The Vishnu Zone — Trade When the Brahma Zone Ends** **Author:** Dr. Sudhir Khollam (SALSA© Method of Astrology & Market Psychology) **Category:** Volatility Phase Detection / Bollinger Band Expansion Analysis --- ### 🔶 **Concept Overview** In the **SALSA© Market Philosophy**, every market phase follows a cosmic rhythm — * **Brahma Phase** represents *creation and expansion* (high volatility and strong directional movement). * **Vishnu Phase** represents *maintenance and stability* (where expansion cools down and balanced opportunities appear). **“The Vishnu Zone”** indicator identifies the exact moments when the **Brahma Phase ends** — signaling that the expansion has completed and the market is likely to enter a more stable, tradable state. This is a **precision-timing indicator** that helps traders avoid entering at the end of impulsive phases and instead prepare for equilibrium-based trades (mean reversion, range setups, or steady trends). --- ### ⚙️ **How It Works** The indicator measures **Bollinger Band Width (BBW)** to quantify expansion and contraction in volatility. 1. It calculates the **adaptive expansion threshold** using the average BBW over a rolling lookback period. 2. When the current BBW **drops below** this adaptive threshold **after being above it**, the script marks it as the **end of the Brahma Phase**. 3. This moment is shown visually as: * 🕉 **“Vishnu” label** above the candle * A **horizontal dotted line** extending for several bars Together, these mark a **Vishnu Zone**, where the market transitions from expansion to consolidation — an ideal time for stabilization or entry planning. --- ### 📊 **Inputs & Settings** | Parameter | Description | | ---------------------------------- | ------------------------------------------------------------------------------ | | **Bollinger Band Length** | The number of bars used for SMA and standard deviation (default 20). | | **Bollinger Multiplier** | Determines the width of Bollinger Bands (default 2.0). | | **Adaptive Lookback Period** | Rolling window to calculate the mean BBW for dynamic adjustment (default 150). | | **Expansion Multiplier** | Multiplies the mean BBW to define the expansion threshold (default 1.35). | | **Horizontal Line Extension Bars** | Number of bars to extend the Vishnu Zone line into the future (default 40). | | **Show End-of-Brahma Labels?** | Toggle 🕉 labels on/off. | | **Show Horizontal Lines?** | Toggle Vishnu Zone lines on/off. | --- ### 🔔 **Alerts** When the **Brahma Phase ends**, the indicator triggers an alert: > *“Brahma Phase Ends, Vishnu has taken over.”* This helps traders receive real-time notification of volatility contraction and possible entry zones. --- ### 🧠 **Best Practices** * Works effectively on **5-minute to 1-hour timeframes** for intraday trading. * Best paired with **momentum or volume filters** to confirm trend exhaustion. * Avoid entering during rapid expansion (Brahma phase). Wait for a Vishnu signal to ensure market stabilization. --- ### 🌌 **Philosophical Interpretation (SALSA© Principle)** Just as Vishnu sustains the universe after Brahma’s creation, the market too enters a **maintenance phase** after every burst of expansion. Recognizing this shift allows traders to align with **cosmic rhythm and price psychology**, not just technical metrics. --- ### 🧩 **Summary** ✅ Detects when expansion volatility ends ✅ Marks transition zones between impulsive and stable phases ✅ Sends real-time alerts ✅ Adaptive and self-adjusting across markets and assets ✅ Simple, clean visualization — ideal for disciplined trading --- ### ⚡ **Use Case** Perfect for traders who: * Prefer **low-risk entries** after volatility spikes * Trade **mean reversion**, **range breakouts**, or **volatility collapses** * Believe in the **cyclic nature of market energy** ---
Chỉ báo Pine Script®
của SudhirKhollam
Earnings Day - Price Predictor [DunesIsland]It's designed to analyze and visualize historical stock price movements on earnings report days, focusing on percentage changes. Here's a breakdown of what it does, step by step: Key Inputs and Setup User Input: There's a single input for "Lookback Years" (default: 10), which determines how far back in time (approximately) the indicator analyzes earnings data. It uses a rough calculation of milliseconds in that period to filter historical data. Data Fetching: It uses TradingView's request.earnings function to pull actual earnings per share (EPS) data for the current ticker. Earnings days are identified where EPS data exists on a bar but not on the previous one (to avoid duplicates). Price Change Calculation: For each detected earnings day, it computes the percentage price movement as (close - close ) / close * 100, representing the change from the previous close to the current close on that day. Processing and Calculations (on the Last Bar) Lookback Filter: It calculates a cutoff timestamp for the lookback period and processes only earnings events within that window. Overall Averages: Separates positive (≥0%) and negative (<0%) percentage changes. Seasonality (Next Quarter Prediction): Identifies the most recent earnings quarter (latest_q). Predicts the "next" quarter (e.g., if latest is Q4, next is Q1; Again, separates positive and negative changes, computing their respective averages. Visual Outputs Lookback: How far to fetch the data in years. Average Change (Green): Showing the average of all positive changes. Average Change (Red): Showing the average of all negative changes. Seasonality Change (Green): Showing the average of positive changes for the predicted next quarter. Seasonality Change (Red): Showing the average of negative changes for the predicted next quarter. Purpose and Usage This indicator helps traders assess a stock's historical reaction to earnings announcements. The overall averages give a broad sense of typical gains/losses, while the seasonality focuses on quarter-specific trends to "predict" potential movement for the upcoming earnings (based on past same-quarter performance). It's best used on daily charts for stocks with reliable earnings data. Note that quarter inference is calendar-based and may not perfectly match fiscal calendars for all companies—it's an approximation.
Chỉ báo Pine Script®
của dunesisland
TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter. Scope and intent • Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto • Timeframes: 5 min to 1 day • Default demo: SPY on 60 min • Purpose: fade stretched moves only when multi-anchor context and breadth agree • Limits: strategy uses standard candles for signals and orders only Originality and usefulness • Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM • Failure mode addressed: chasing extended moves and fading during index-wide thrusts • Testability: each component is an input and visible in orders list via L and S tags • Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols • Open source: method and implementation are disclosed for community review Method overview in plain language Base measures • Range basis: ATR(length = atr_len) as the normalization unit • Return basis: not used directly; we use rank statistics for stability Components • Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len • Robust Z of Close: median and MAD based Z to avoid outliers • Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts • Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided • Gap Shock: skip signals after large session gaps Fusion rule • All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear Signal rule • Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok • Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok What you will see on the chart • Standard strategy arrows for entries and exits • Optional short-side brackets: ATR stop and ATR take profit if enabled Inputs with guidance Setup • Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts. • ATR length: normalization unit. Typical 10 to 20. Higher reduces noise. • VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0. • Robust Z window: 40 to 100. Larger for stability. • Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only. • Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches. • Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs. Regime and Breadth • Use breadth gate: on when trading indices or broad ETFs. • Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts. • Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade. Risk — Short only • Enable short SL TP: on to bracket shorts. • Short ATR stop mult: 1.0 to 3.0. • Short ATR take profit mult: 1.0 to 6.0. Properties visible in this publication • Initial capital: 25000USD • Default order size: Percent of total equity 3% • Pyramiding: 0 • Commission: 0.03 percent • Slippage: 5 ticks • Process orders on close: OFF • Bar magnifier: OFF • Recalculate after order is filled: OFF • Calc on every tick: OFF • request.security lookahead off where used Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Fills and slippage vary by venue • Shapes can move during bar formation and settle on close • Standard candles only for strategies Honest limitations and failure modes • Economic releases or very thin liquidity can overwhelm mean-reversion logic • Heavy gap regimes may require larger gap filter or TR-based tuning • Very quiet regimes reduce signal contrast; extend windows or raise thresholds Open source reuse and credits • None Strategy notice Orders are simulated by TradingView on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution. Entries and exits • Entry logic: as in Signal rule above • Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup • Risk model: ATR-based brackets on shorts when enabled • Tie handling: stop first when both could be touched inside one bar Dataset and sample size • Test across your visible history. For robust inference prefer 100 plus trades.
Chiến lược Pine Script®
của exlux
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter. Scope and intent • Markets. Gold and silver futures or spot, other liquid commodities, major indices • Timeframes. Five minutes to one day. Defaults to 30min for swing pace • Default demo used in this publication. TVC:GOLD on 30m • Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias • Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings • Testability. Each component has a named input. Entry names L and S are visible in the list of trades • Portable yardstick. Weekly ATR for stops and R multiples for targets • Open source. Method and implementation are disclosed for community review Method overview in plain language You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope. Base measures • Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE • Return basis. Not required Components • Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window • Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat • DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens • Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band Fusion rule • All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled Signal rule • Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish • Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish • Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band Inputs with guidance Setup • Symbol. Default TVC:GOLD (Correlation Asset for internal logic) • Signal timeframe. Blank follows the chart • Confirm timeframe. Default 1 day used by the bias block Directional Convexity Index • DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier • DCX rise bars. Typical 3 to 6. Higher demands continuation • DCX entry threshold. Typical 15 to 35. Higher avoids soft moves • Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape • Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence Adaptive Volatility Envelope • AVE window. Typical 24 to 48. Higher smooths more • Midline type. ALMA or HMA or EMA per preference • TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions • Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR • Base envelope mult. Typical 1.4 to 2.2. Width of bands • Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands Intermarket Bias • Use DXY bias. Default ON • DXY timeframe. Default 1 day • DXY trend window. Typical 10 to 50 Risk • Risk percent per trade. Reporting field. Keep live risk near one to two percent • Weekly ATR. Default 14. Basis for stops • Stop ATR weekly mult. Typical 1.5 to 3.0 • Take profit R multiple. Typical 1.5 to 3.0 • Trail with AVE band. Optional. OFF by default Properties visible in this publication • Initial capital. 20000 • Base currency. USD • request.security lookahead off everywhere • Commission. 0.03 percent • Slippage. 5 ticks • Default order size method percent of equity with value 3% of the total capital available • Pyramiding 0 • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Strategies use standard candles for signals and orders only Honest limitations and failure modes • Economic releases and thin liquidity can break assumptions behind the expansion logic • Gap heavy symbols may prefer a longer ATR window • Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands • Session time follows the exchange of the chart and can change symbol to symbol • Symbol sensitivity is expected. Use the gates and length inputs to find stable settings Open source reuse and credits • None Mode Public open source. Source is visible and free to reuse within TradingView House Rules Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Chiến lược Pine Script®
của exlux
2
FluxGate Daily Swing StrategySummary in one paragraph FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close. Scope and intent • Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs • Timeframes. From one minute to daily • Default demo in this publication. SPY on one day timeframe • Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy • Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution Originality and usefulness • Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another. • Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean. • Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common. • Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart. • Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number. Method overview in plain language Base measures • Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window. • Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks. Components • Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating. • Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms. • Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss. • Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior. • Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there. • Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act. • Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule. • Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize. Fusion rule • Normalize the three drivers after removing overlap • Blend with weights that adapt to your aggression input • Multiply by the gates to respect path quality • Smooth just enough to avoid jitter while keeping timing responsive • Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign • The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug Signal rule • A long suggestion appears when the long score crosses above its long threshold while all gates are active • A short suggestion appears when the short score crosses below its short threshold while all gates are active • If any required gate is missing the state is wait • When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips Inputs with guidance Setup Long • Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise • Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing Setup Short • Base length Short. Master window for the short engine. Typical range twenty eight to ninety six • Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols Entries and UI • Entry mode. Both or Long only or Short only Complementary risk engine • Enable risk engine. Turns on bracket exits while keeping your signal logic untouched • ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance • ATR length. Default fourteen • Stop multiple. Default one point five times the anchor ATR • Use take profit. On by default • Take profit in R. Default two R • Breakeven trigger in R. Default one R Usage recipes Intraday trend focus • Entry mode Both • ATR anchor Week • Aggression Long zero point five Aggression Short zero point three • Stop multiple one point five Take profit two R • Expect fewer trades that stick to directional pushes and skip treadmill noise Intraday mean reversion focus • Session windows optional if you add them in your copy • ATR anchor Day • Lower aggression both sides • Breakeven later and trailing later so the first bounce has room • This favors fade entries that still convert into trends when the path stays clean Swing continuation • Signal timeframe four hours or one day • Confirm timeframe one day if you choose to include bias • ATR anchor Week or Month • Larger base windows and a steady two R target • This accepts fewer entries and aims for larger holds Properties visible in this publication • Initial capital 25.000 • Base currency USD • Default order size percent of equity value three - 3% of the total capital • Pyramiding zero • Commission zero point zero three percent - 0.03% of total capital • Slippage five ticks • Process orders on close off • Recalculate after order is filled off • Calc on every tick off • Bar magnifier off • Any request security calls use lookahead off everywhere Realism and responsible publication • No performance promises. Past results never guarantee future outcomes • Fills and slippage vary by venue and feed • Strategies run on standard candles only • Shapes can update while a bar is forming and settle on close • Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable Honest limitations and failure modes • Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads • Gap heavy symbols often behave better with a True Range basis for risk than a simple range • Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep • Session windows follow the exchange time of the chart if you add them • If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative Open source reuse and credits • No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
Chiến lược Pine Script®
của exlux
Trend Telescope v4 Basic Configuration pine // Enable only the components you need Order Flow: ON Delta Volume: ON Volume Profile: ON Cumulative Delta: ON Volatility Indicator: ON Momentum Direction: ON Volatility Compression: ON 📊 Component Breakdown 1. Order Flow Analysis Purpose: Identifies buying vs selling pressure Visual: Histogram (Green=Buying, Red=Selling) Calculation: Volume weighted by price position Usage: Spot institutional order blocks 2. Delta Volume Values Purpose: Shows volume imbalance Bull Volume (Green): Volume on up bars Bear Volume (Red): Volume on down bars Usage: Identify volume divergences 3. Anchored Volume Profile Purpose: Finds high-volume price levels POC (Point of Control): Price with highest volume Profile Length: Adjustable (default: 50 bars) Usage: Identify support/resistance zones 4. Cumulative Volume Delta Purpose: Tracks net buying/selling pressure over time Trend Analysis: Rising=Buying pressure, Falling=Selling pressure Divergence Detection: Price vs Delta divergences Usage: Confirm trend strength 5. Volatility Indicator Purpose: Measures market volatility with cycle detection Volatility Ratio: ATR as percentage of price Volatility Cycle: SMA of volatility (identifies periods) Histogram: Difference between current and average volatility Usage: Adjust position sizing, identify breakout setups 6. Real-time Momentum Direction Purpose: Multi-factor momentum assessment Components: Price momentum (50%), RSI momentum (30%), Volume momentum (20%) Visual: Line plot with color coding Labels: Clear BULLISH/BEARISH/NEUTRAL signals Usage: Trend confirmation, reversal detection 7. Volatility Compression Analysis Purpose: Identifies low-volatility consolidation periods Compression Detection: True Range below threshold Strength Meter: How compressed the market is Histogram: Red when compressed, Gray when normal Usage: Predict explosive moves, prepare for breakouts ⚙️ Advanced Configuration Optimal Settings for Different Timeframes pine // Scalping (1-15 min) Profile Length: 20 ATR Period: 10 Momentum Length: 8 Compression Threshold: 0.3 // Day Trading (1H-4H) Profile Length: 50 ATR Period: 14 Momentum Length: 14 Compression Threshold: 0.5 // Swing Trading (Daily) Profile Length: 100 ATR Period: 20 Momentum Length: 21 Compression Threshold: 0.7 Alert Setup Guide Enable "Enable Alerts" in settings Choose alert types: Momentum Alerts: When momentum changes direction Compression Alerts: When volatility compression begins Set alert frequency to "Once Per Bar" Configure notification preferences 🎯 Trading Strategies Strategy 1: Compression Breakout pine Entry Conditions: 1. Volatility Compression shows RED histogram 2. Cumulative Delta trending upward 3. Momentum turns BULLISH 4. Price breaks above POC level Exit: When Momentum turns BEARISH or Compression ends Strategy 2: Momentum Reversal pine Entry Conditions: 1. Strong Order Flow in opposite direction 2. Momentum divergence (price makes new high/low but momentum doesn't) 3. Volume confirms the reversal Exit: When Order Flow returns to trend direction Strategy 3: Institutional Accumulation pine Identification: 1. High Cumulative Delta but flat/sideways price 2. Consistent Order Flow in one direction 3. Volume Profile shows accumulation at specific levels Trade: Enter in direction of Order Flow when price breaks level 📈 Interpretation Guide Bullish Signals ✅ Order Flow consistently green ✅ Cumulative Delta making higher highs ✅ Momentum above zero and rising ✅ Bull Volume > Bear Volume ✅ Price above POC level Bearish Signals ✅ Order Flow consistently red ✅ Cumulative Delta making lower lows ✅ Momentum below zero and falling ✅ Bear Volume > Bull Volume ✅ Price below POC level Caution Signals ⚠️ Momentum divergence (price vs indicator) ⚠️ Volatility compression (potential big move coming) ⚠️ Mixed signals across components 🔧 Troubleshooting Common Issues & Solutions Problem: Indicators not showing Solution: Check "Show on Chart" is enabled Problem: Alerts not triggering Solution: Verify alert is enabled in both script and TradingView alert panel Problem: Performance issues Solution: Reduce number of enabled components or increase timeframe Problem: Volume Profile not updating Solution: Adjust Profile Length setting, ensure sufficient historical data Performance Optimization Disable unused components Increase chart timeframe Reduce historical bar count Use on lower timeframes with fewer indicators enabled 💡 Pro Tips Risk Management Use Volatility Indicator for position sizing Monitor Cumulative Delta for trend confirmation Use POC levels for stop-loss placement Multi-Timeframe Analysis Use higher timeframe for trend direction Use current timeframe for entry timing Correlate signals across timeframes Market Condition Adaptation Trending Markets: Focus on Momentum + Order Flow Ranging Markets: Focus on Volume Profile + Compression High Volatility: Use smaller position sizes Low Volatility: Prepare for compression breakouts 📚 Educational Resources Key Concepts to Master Volume-price relationships Market microstructure Institutional order flow Volatility regimes Momentum vs mean reversion Recommended Learning Path Start with Order Flow + Momentum only Add Volume Profile once comfortable Incorporate Volatility analysis Master multi-component correlation 🆘 Support Getting Help Check component toggles are enabled Verify sufficient historical data is loaded Test on major pairs/indices first Adjust settings for your trading style Continuous Improvement Backtest strategies thoroughly Keep a trading journal Adjust parameters based on market conditions Combine with price action analysis Remember: No indicator is perfect. Use this tool as part of a comprehensive trading plan with proper risk management. Always test strategies in demo accounts before live trading. Happy Trading! 📈
Chỉ báo Pine Script®
của lohanineeraj
Dual ATR Trailing Stop with Buy/Sell SignalsThis indicator applies two ATR-based trailing stops (Fast and Slow) together with a four-state market classifier to visualize trend strength and place crossover Buy/Sell markers. It is a trend-following tool and does not predict future prices. Use it alongside independent analysis and risk management. How it works The Fast trail uses ATR with period 5 and multiplier 0.5 by default. The Slow trail uses ATR with period 10 and multiplier 3.0 by default. When price remains above the prior trail, the new trail equals the maximum of the previous trail and close minus the stop-loss distance derived from ATR. When price remains below the prior trail, the new trail equals the minimum of the previous trail and close plus that distance. On a side switch the trail is re-anchored from the current bar. The Fast trail reacts more quickly, while the Slow trail aims to confirm direction and filter noise. Signals Buy is when the Fast trail crosses above the Slow trail. Sell is when the Fast trail crosses below the Slow trail. These crossovers are continuation cues rather than standalone trade advice. Four-state coloring Strong Bull occurs when Fast is above Slow, the close is above Slow, and the low is above Slow. Bull with Pullback occurs when Fast is above Slow and the close is above Slow, but the low dips below Slow. Strong Bear occurs when Slow is above Fast, the close is below Slow, and the high is below Slow. Bear with Bounce occurs when Slow is above Fast and the close is below Slow, but the high pierces above Slow. Directional bias Bias is inferred by comparing which of Strong Bull or Strong Bear occurred more recently using a barsSince comparison. The most recent state defines the current bias and can help filter frequent flips in ranges. Inputs You can adjust Fast ATR period from 1 to 50 and its multiplier from 0.1 to 5.0. You can adjust Slow ATR period from 1 to 50 and its multiplier from 0.1 to 10.0. Optional toggles control candle coloring, trail visibility, fill between trails, alerts, and the information panel. On-chart outputs The indicator plots the Fast trail and the Slow trail, with optional fill between them. It can show Buy and Sell markers at crossovers. The optional information panel can display last signal side, entry price, current price, P&L since last signal, current market state, Fast and Slow ATR values, and inferred bias. Alerts Available alerts are Fast crossing above Slow, Fast crossing below Slow, entering Strong Bull, and entering Strong Bear. Usage guidelines For trend following, many users wait for a Buy crossover together with Strong Bull coloring and then manage risk against the Slow trail. For scalping, consider lower timeframes and a smaller Fast ATR such as period 3 and multiplier 0.3, while avoiding over-optimization. When publishing screenshots, use a clean chart with the symbol, timeframe, and the indicator’s name visible. Limitations and realism The tool works best in directional markets; ranging conditions may cause frequent side switches. It is designed for standard OHLC charts only and is not intended for Heikin Ashi, Renko, Kagi, Point & Figure, or Range charts. No claims are made about accuracy, profits, or future performance. Always use position sizing, stop-losses, and additional confirmation. Compatibility and version Pine Script v6. Default inputs in the publication match the values described above. Version 1.0 initial public release. Notes For questions and feedback, please use the comments section on the script page.
Chỉ báo Pine Script®
của michalchmielarz00
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.
Chỉ báo Pine Script®
của The_Peaceful_Lizard
4
Constant Auto Trendlines (Extended Right)📈 Constant Auto Trendlines (Extended Right) This indicator automatically detects market structure by connecting swing highs and lows with permanent, forward-projecting trendlines. Unlike standard trendline tools that stop at the last pivot, this version extends each trendline infinitely into the future — helping traders visualize where price may react next. 🔍 How It Works The script identifies pivot highs and lows using user-defined left/right bar counts. When a new lower high or higher low appears, the indicator draws a line between the two pivots and extends it forward using extend.right. Each new confirmed trendline stays fixed, creating a historical map of structure that evolves naturally with market action. Optional filters: Min Slope – ignore nearly flat trendlines Show Latest Only – focus on the most relevant trendline Alerts – get notified when price crosses the most recent uptrend or downtrend line 🧩 Why It’s Useful This tool helps traders: Spot emerging trends early Identify dynamic support/resistance diagonals Avoid redrawing trendlines manually Backtest structure breaks historically ⚙️ Inputs Pivot Left / Right bars Min slope threshold Line color, width, and style Show only latest line toggle Alert options
Chỉ báo Pine Script®
của rrtaker86
1