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Amiya's Doji / Hammer / Spinning Top Breakout Strategy v5How it works 1. Pattern Detection (Previous Candle): • Checks if total shadow length ≥ 2 × body. • Checks if candle height (high − low) is between 10 and 21.5 points. • If true → marks that candle as a potential Doji, Hammer, or Spinning Top. 2. Long Setup: • LTP (close) crosses above previous candle high. • Previous candle is a valid pattern candle. • Stop Loss = 3 points below previous candle low. • Take Profit = 5 × (high − low) of previous candle added to previous high. 3. Short Setup: • LTP (close) crosses below previous candle low. • Previous candle is a valid pattern candle. • Stop Loss = 3 points above previous candle high. • Take Profit = 5 × (high − low) of previous candle subtracted from previous low. 4. Visualization: • Yellow background highlights pattern candles. • Green ▲ and Red ▼ markers show entry points. Deep yellow candles → represent Doji / Hammer / Spinning Top patterns • Green triangle → Buy signal • Red triangle → Sell signal • Dotted green line + label → Target • Dotted red line + label → Stop loss • Gray background → Outside trading hours • Auto close → All trades square off at 3:29 PM IST
استراتيجية Pine Script®
من ‎amiyashankar‎
Chanlun - Strokes & Central ZonesChanlun Indicator - Strokes and Central Zones This indicator implements Chan lun's core concepts: Bi (Stroke): Basic price movement units formed by local highs and lows Zhongshu (Central Zone): Overlapping areas formed by at least 3 strokes Extension Lines: Visual guides for the latest central zone boundaries Key Features: Automatic stroke identification based on local extremes Central zone detection with customizable colors Extension lines for latest central zone (upper/lower bounds) Separate colors for strokes within central zones Price labels on the axis for zone boundaries Settings: Max Bars: Maximum K-lines to analyze (default: 4900) Lookback Period: Period for finding local extremes (default: 5) Min Gap Bars: Minimum bars between strokes (default: 4) Customizable colors for strokes, zones, and extension lines
مؤشر Pine Script®
من ‎xaubtcdxy‎
Bitcoin ETF Cumulative Net InflowIndicator Description: This indicator calculates and plots the cumulative net inflow (in billions of USD) for selected Bitcoin ETFs on the main price chart. It uses AUM data from TradingView to estimate daily net flows, adjusted for BTC price changes, and accumulates them over time. The line is overlaid on the price chart (e.g., BTCUSD) with a right scale for better visibility, helping to identify correlations between ETF inflows and Bitcoin price movements. Key Features: Supports selection of 10 major Bitcoin ETFs (IBIT, FBTC, ARKB, etc.) via inputs. Cumulative inflow line (purple, linewidth=2) for trend analysis. Data sourced from request.financial("AUM", "D") for accuracy.
مؤشر Pine Script®
من ‎iCD_creator‎
Relative Momentum Rotation [CHE] Relative Momentum Rotation — Ranks assets by multi-horizon momentum for guided rotational selection with regime overlay Summary This indicator evaluates a universe of assets using a blended momentum measure across three time horizons, then ranks them to highlight top performers for potential portfolio rotation. It incorporates a regime filter to contextualize signals, tinting the background to indicate favorable or unfavorable market conditions and labeling transitions for awareness. By focusing on relative strength within a selectable universe, it helps identify leaders without relying on absolute thresholds, reducing noise from isolated trends and promoting disciplined asset switching. Motivation: Why this design? Traders often struggle with momentum signals that perform unevenly across market phases, such as overreacting in volatile periods or lagging in steady uptrends, leading to suboptimal rotations in multi-asset portfolios. The core idea of relative momentum rotation addresses this by comparing assets head-to-head within a defined group, blending short- and long-term changes to capture sustained strength while a regime overlay adds a macro layer to avoid fighting broader trends. This setup prioritizes peer-relative outperformance over standalone measures, aiding consistent selection in rotational strategies. What’s different vs. standard approaches? - Reference baseline: Traditional rate-of-change indicators track absolute price shifts over a single window, which can generate whipsaws in sideways markets or miss cross-asset opportunities. - Architecture differences: - Blends three distinct horizons into one composite score for a fuller momentum picture, rather than isolating one period. - Applies ranking across a customizable universe (e.g., crypto or tech stocks) to emphasize relatives, not absolutes. - Integrates a simple regime check via moving average crossover on a reference symbol, gating selections without overcomplicating the core logic. - Outputs a dynamic table for visual ranking, plus subtle visual cues like background tints, instead of cluttered plots. - Practical effect: Charts show clearer hierarchy among assets, with regime tints providing at-a-glance context—top ranks stand out more reliably in bull regimes, helping traders focus rotations without constant recalibration. How it works (technical) The indicator starts by assembling a list of symbols from the selected universe, including only those marked as active to keep the group focused. For each symbol, it gathers change rates over three specified horizons on a higher timeframe, blends them using user-defined weights (automatically normalized if they do not sum to one), and computes a single composite score. Scores are then ranked to select the top performers up to a set number, forming a rotation candidate list. To add context, a regime state is determined by comparing the reference symbol's price to its moving average on daily bars—above signals a positive environment, below a negative one, with an option to invert this logic. The current chart's symbol is checked against the top list for inclusion status. All higher-timeframe data pulls are set to avoid lookahead bias, though updates may shift slightly until bars close. Persistent variables track the table state and prior regime to handle redraws efficiently, ensuring the display rebuilds only when the selection count changes. Parameter Guide Universe — Switches between predefined crypto or US-tech symbol sets for ranking peers. Default: Crypto. Trade-offs/Tips: Crypto for volatile assets; US-Tech for equities—match to your portfolio to avoid mismatched volatility. Include Symbol 1–12 — Toggles individual symbols in the universe on or off. Default: Varies (true for top 10, false for extras). Trade-offs/Tips: Start with defaults for a balanced group; disable laggards to sharpen focus, but keep at least 5–8 for robust ranking. Scoring Timeframe — Sets the aggregation period for momentum changes (e.g., monthly bars). Default: Monthly. Trade-offs/Tips: Monthly for long-term rotation; weekly for faster signals—increases noise if too short. Weight 12m / 6m / 3m — Adjusts emphasis on long/medium/short horizons in the blend. Default: 0.50 / 0.30 / 0.20. Trade-offs/Tips: Heavier long-term for stability in trends; balance to fit asset class—test sums near 1.0 to avoid auto-normalization surprises. ROC over MA instead of Close — Uses smoothed averages for change rates to reduce chop. Default: False. Trade-offs/Tips: Enable in noisy markets for fewer false tops; adds slight lag, so monitor for delayed rotations. Top N to hold — Limits selections to this many highest-ranked assets. Default: 10. Trade-offs/Tips: Lower for concentrated bets (higher risk/reward); higher for diversification—align with your position sizing. Mark current symbol if in Top N — Highlights if the chart's asset ranks in the selection. Default: True. Trade-offs/Tips: Useful for self-scanning; disable in multi-chart setups to declutter. Enable Regime Filter — Activates macro overlay using reference symbol. Default: True. Trade-offs/Tips: Core for trend-aware trading; disable for pure momentum plays, but risks counter-trend entries. Regime Symbol — Chooses the benchmark for regime (e.g., broad index). Default: QQQ. Trade-offs/Tips: Broad market proxy like SPY for equities; swap for BTC in crypto to match universe. SMA Length (D) — Sets the averaging window for regime comparison. Default: 100. Trade-offs/Tips: Longer for fewer flips (smoother regimes); shorter for quicker detection—default suits daily checks. Invert (rare) — Flips the regime logic (price above average becomes negative). Default: False. Trade-offs/Tips: Only if your view inverts the benchmark; test thoroughly as it reverses all tints/labels. Show Ranking Table — Displays the ranked list with scores and regime status. Default: True. Trade-offs/Tips: Essential for selection; position tweaks help on crowded charts. Table X / Y — Places the table on the chart (e.g., top-right). Default: Right / Top. Trade-offs/Tips: Corner placement avoids price overlap; middle for central focus in reviews. Dark Theme — Applies inverted colors for visibility. Default: True. Trade-offs/Tips: Matches most TradingView themes; toggle for light backgrounds without losing contrast. Text Size — Scales table font for readability. Default: Normal. Trade-offs/Tips: Smaller for dense data; larger on big screens—impacts only last-bar render. Background Tint by Regime — Colors the chart faintly green/red based on state. Default: True. Trade-offs/Tips: Subtle cue for immersion; disable if it distracts from price action. Label on Regime Flip — Adds text markers at state changes. Default: True. Trade-offs/Tips: Aids journaling flips; space them by disabling in low-vol periods to cut clutter. Reading & Interpretation The ranking table lists top assets by position, symbol, percentage score (higher indicates stronger blended momentum), and regime status—green "ON" for favorable, red "OFF" for cautionary. Background shifts to a light teal in positive regimes (suggesting alignment for longs) or pale red in negative ones (hinting at reduced exposure). Flip labels appear as green "Regime ON" above bars or red "Regime OFF" below, marking transitions without ongoing noise. If the current symbol appears in the top rows with a solid score, it signals potential hold or entry priority within rotations. Practical Workflows & Combinations - Trend following: Scan the table weekly on monthly charts for top entrants; confirm with higher highs/lows in price structure before rotating in. Use regime tint as a veto—skip buys in red phases. - Exits/Stops: Rotate out of bottom-half ranks monthly; tighten stops below recent lows during regime flips to protect against reversals. Pair with volatility filters like average true range for dynamic sizing. - Multi-asset/Multi-TF: Defaults work across crypto/equities on daily+ timeframes; for intraday, shorten scoring to weekly but expect more interim noise. Scale universe size with portfolio count—e.g., top 5 for aggressive crypto rotations. Behavior, Constraints & Performance Signals update on bar close to confirm higher-timeframe data, but live bars may preview shifts from security calls, introducing minor repaint until finalized—mitigated by non-lookahead settings, though daily regime checks can lag by one session. Arrays handle up to 12 symbols efficiently, with loops capped at selection size; max bars back at 5000 supports historical depth without overload. Resource use stays low, but dense universes on very long charts may slow initial loads. Known limits include sensitivity to universe composition (skewed groups amplify biases) and regime lag at sharp market turns, potentially delaying rotations by a period. Sensible Defaults & Quick Tuning Defaults assume a 10-asset crypto rotation on monthly scoring with balanced weights and QQQ regime—ideal for intermediate-term equity-like plays. For too-frequent table reshuffles, extend scoring timeframe or weight longer horizons more. If selections feel sluggish, shorten the 3-month weight or enable MA smoothing off. In high-vol environments, raise top N and SMA length for stability; for crypto bursts, drop to weekly scoring and invert regime if using a volatile proxy. What this indicator is—and isn’t This is a selection and visualization tool for momentum-based rotations, layering relative ranks and regime context onto charts to inform asset picks. It is not a standalone system—pair it with entry/exit rules, position sizing, and risk limits. Nor is it predictive; it reacts to past changes and may underperform in prolonged ranges or during universe gaps. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino Where does it come from, specifically? The principle of “composite momentum across multiple horizons” is common in TAA/rotation strategies. As a documented example: Keller/Butler use a composite 1/3/6/12-month momentum (“13612W”)—same idea, different windows/weights. Robot Wealth A practical vendor example: EPS Momentum calculates an RMR composite as a weighted mix of 12/6/3/1-month ranks (very close to “12/6/3”). EPS Momentum Related but not identical: StockCharts’ RRG measures the momentum rotation of relative strength—often mentioned in the same context, but it doesn’t have a fixed “12/6/3” composite. chartschool.stockcharts.com How is it typically computed? ROC_12 + ROC_6 + ROC_3 (often scaled/weighted), then ranked vs. peers; the rotation periodically holds the top ranks in the portfolio. (Variants use different weights or additionally include 1-month—see the sources above.) robotwealth.com epsmomentum.com
مؤشر Pine Script®
من ‎chervolino‎
NY Session Divisions⭐NY Session Divisions - Professional Trading Session Manager NY Session Divisions is an advanced trading indicator that professionally segments the New York trading day into precise sessions, providing institutional-grade market structure analysis with smart breakout detection and comprehensive filtering systems. ✨ KEY FEATURES 🕒 8 Professional Trading Sessions - US Overnight Range (03:30-11:50) - NY Pre-Open (16:45-17:00) - NY First Session ORB (17:00-17:15) - Premarket Range - Recommended by Mahdi Salari* - NY Midday Range - NY 2nd Pre-Open - 2nd Session ORB - US After Hours ORB 🎯 Advanced Trading Strategies - School Run Strategy (SRS) by Tom Hougaard - Breakout-focused approach - Anti-SRS Strategy - Range-trading methodology - Dual Strategy System - Combine breakout and range trading for maximum flexibility 🔔 Smart Alert System - Multi-timeframe confirmation - Heiken Ashi candle validation - Customizable alert conditions - Sound notifications with detailed messages - Post-close confirmation to avoid false signals 🛡️ Professional Filter Stack - Ichimoku Baseline - Divergence Detection - Advanced market analysis - EMA 200 Filter - Trend alignment - Ichimoku Baseline - Market structure - ATR Filter - Volatility validation - RSI Filter - Momentum confirmation 🎨 Advanced Visualization - Clean session range displays - Professional Heiken Ashi candles - Smart breakout markers (Small/Tiny for signal strength) - Take Profit lines with ATR-based calculations - Customizable colors and opacity 🏆 WHY TRADERS LOVE THIS INDICATOR ✅ For Breakout Traders - Precise session boundary detection - Clean breakout signals with confirmation - Multiple filter validation ✅ For Range Traders - Clear session range identification - Anti-SRS strategy for range-bound markets - Support/Resistance level tracking ✅ For Professional Traders - Institutional-grade session management - Comprehensive filtering system - Multi-timeframe analysis - Customizable risk management ⚡ QUICK START GUIDE Basic Setup (2 Minutes) 1. Enable Sessions** - Choose 1-2 sessions to start 2. Set Alerts - Configure your preferred notification method 3. Apply Filters - Enable EMA 200 and Ichimoku for starters Advanced Configuration - Combine SRS + Anti-SRS for comprehensive strategy - Use multiple divergence filters for confirmation - Customize TP lines based on your risk profile - Drawing 1st and 2nd Session Close lines PROFESSIONAL TIPS Session Selection Strategy - Start with Session 1 (US Overnight) for overall market trend identification - Add Session 3 (NY First ORB) for opening momentum - Use Session 4 (Premarket) for the best perfomance of the breakout strategy Filter Optimization - Conservative : EMA 200 + Ichimoku Baseline - Balanced : Add ATR filter for volatility check 0.8 is enough - Aggressive : Enable all filters for maximum confirmation but the number of signal and performance will decrease Risk Management - Use TP lines for automatic profit targets - Combine with proper position sizing - Always use stop losses 🔧 TECHNICAL SPECIFICATIONS - Platform : TradingView Pine Script v6 - Markets : All US trading instruments (ES, NQ, YM, CL, etc.) - Timeframes : 1min to Daily - Auto DST Handling : Yes - Real-time Processing : Yes 📊 PERFORMANCE FEATURES - Zero Repaint - All signals confirmed after candle close - Multi-Timeframe - Works across all chart timeframes - Resource Optimized - Efficient calculation methods - User Customizable - Complete control over all parameters - Consistent Performance - Reliable session-based signals - Professional Grade - Institutional-level analysis tools - Continuous Updates - Regular improvements and enhancements - Community Supported - Active user community and support 🔄 KEEP UPDATED Click the Favorite Star ⭐ to receive update notifications and stay current with new features and improvements! Professional traders don't guess - they analyze. NY Session Divisions gives you the analytical edge. Happy Trading! 📈 Created with precision for serious traders DISCLAIMER This indicator is for educational and informational purposes only. It should not be considered as financial advice. Always practice proper risk management and test strategies in demo accounts before live trading. Past performance does not guarantee future results.
مؤشر Pine Script®
من ‎MahdiSalari8‎
Wall Street Bell 🔔This will ring a bell at market open (9:30 AM EST) and close (4:00 PM EST), automatically adjusted to the user's local time zone, only on valid trading days. ✅ Automatic timezone conversion - Works in any timezone ✅ Weekdays only - No alerts on weekends ✅ Visual markers - Shows 🔔 labels on chart when bells ring ✅ Status dashboard - Shows which bells are enabled (top-right corner) ✅ Customizable - Toggle bells on/off in settings Note: This excludes weekends automatically, but TradingView doesn't have a built-in holiday calendar for NYSE. On market holidays, you may need to manually disable the alerts for that day, You'll need to create two separate alerts - one for the opening bell and one for the closing bell.
مؤشر Pine Script®
من ‎el1live‎
Market Opens + Killzones — New York, London & Tokyo (SMC/ICT)Market Opens + Killzones — New York, London & Tokyo (SMC/ICT) — PueblaATH Trade where liquidity is born . This clean, professional overlay marks the world’s three most influential trading sessions — New York , London , and Tokyo — plus the London–New York overlap, giving you an instant visual map of when and where real price delivery happens. Every opening is drawn with precise session lines and full-height killzone blocks that extend from the very top to the very bottom of your chart — so you’ll never miss the market’s true rhythm again. 🔍 What You’ll See New York Killzone (08:30 – 10:30 NY) → Gray block London Killzone (07:00 – 10:00 London) → Dark-gray block Tokyo Killzone (09:00 – 11:00 Tokyo) → Black block London–New York Overlap (13:30 – 16:00 London) → Orange block Each killzone fills the entire column, creating crystal-clear time partitions. Session openings are marked with vertical lines (solid or dotted), labeled, and fully adjustable. ⚙️ Features 🌍 True market timezones — Auto-adjusts for daylight saving (no manual changes needed). 🕒 Session opening lines with customizable width, color, and label. 🧱 Full-height killzone blocks for maximum clarity on any timeframe. 🔄 Daily auto-reset — clean sessions, no repaint, no overlap. 🧭 Minimal, efficient, and accurate — ideal for ICT/SMC traders. 💡 Perfect For Intraday & scalping traders who operate within session volatility. ICT / Smart Money Concepts enthusiasts who time executions by liquidity windows. Anyone wanting precise visual timing of market sessions on any pair or asset. ⚡ Quick Tips Focus on London + New York if you trade major liquidity shifts. Set line width to 3 – 4 for best visibility. Keep block transparency between 60–75 % for a clean balance. Combine with structure or liquidity tools for maximum precision. 🧠 In Short “ Simple. Accurate. Powerful. ” Instantly identify when true liquidity enters the market — and align your executions with the world’s most active trading hours. Created by: PueblaATH
مؤشر Pine Script®
من ‎PueblaATH‎
PheeTrades - Value Area Levels (VAH / VAL / POC Visualizer)This script helps traders quickly visualize key Volume Profile–style levels such as Value Area High (VAH), Value Area Low (VAL), and Point of Control (POC) using recent price and volume data. While TradingView’s built-in Volume Profile tool is great for manual analysis, this indicator automatically calculates and plots approximate value zones directly on your chart — ideal for traders who want to identify high-probability support and resistance areas without drawing a fixed range every time. Features: Calculates short-term VAH, VAL, and POC based on a user-defined lookback period. Plots color-coded levels for quick visual reference. Helps identify “fair value” zones where most trading activity occurred. Useful for detecting breakout or mean-reversion opportunities around value extremes. How to use: Apply the script to any chart and set your preferred lookback period. VAH (red line): potential upper resistance or overbought zone. VAL (green line): potential lower support or accumulation zone. POC (orange line): price level with the highest traded activity — often a magnet for price. Note: This is a simplified Value Area model meant for educational and analytical use. It does not replace TradingView’s official Volume Profile or broker-level volume distribution data.
مؤشر Pine Script®
من ‎VegasAgent‎
Aibuyzone Vector Strategy – Floating DashboardAibuyzone Vector Strategy – Floating Dashboard (Indicator) Educational indicator that highlights potential “vector” candles (expanded-range bodies with optional wick-imbalance and volume-spike filters) and overlays basic trend/momentum context. Not financial advice. What it does Identifies potential vector candles using body-to-range %, ATR expansion, optional wick-imbalance ratio, and optional volume spike. Optional 3-bar FVG alignment (in signal direction). Trend filter using EMA Fast/Slow, with an optional higher-timeframe EMA. Momentum context via RSI. Optional floating dashboard summarizing the current state (toggle in settings). Signals & visuals Long setup: triangle below bar when vector criteria + trend + momentum align. Short setup: triangle above bar on bearish alignment. EMA Fast/Slow are plotted for trend context. Alerts: “AIBZ Vector Long/Short”. Inputs (key) Vector: Body% minimum, ATR length & multiple, wick-imbalance ratio. Volume: SMA length & spike multiple. Trend: EMA Fast/Slow; optional HTF EMA and timeframe. Momentum: RSI length and thresholds. Display: label size/offset/colors; floating dashboard (Last bar / Every bar); optional watermark with symbol, timeframe, and script name. Screenshot Mode: hides labels & dashboard for a clean publication chart. How to use (example workflow) Use on standard candle charts (not Heikin Ashi/Renko/Kagi/P&F/Range). Confirm trend (EMA Fast vs. Slow and optional HTF EMA). Look for a vector signal in trend direction and verify RSI context. Manage risk independently; this tool does not place orders or provide trade management. Limitations Past signals don’t guarantee future results. HTF calculations use request.security and may differ from intrabar development. Indicator (not a strategy()); no backtest P/L. Attribution Built in Pine v6 by @Aibuyzone. No third-party proprietary code included. Release notes v1.0: Initial public release.
مؤشر Pine Script®
من ‎aibuyzone‎
Squeeze Breakout Strategy [KedArc Quant]Description: Squeeze Breakout strategy looks for volatility compression (Bollinger Bands inside Keltner Channels = a “squeeze”), then trades the volatility expansion in the direction of a momentum filter. 🧠 How the “Squeeze → Expansion” works - Markets alternate between quiet (compressed) and active (expanded) phases. - We call it a squeeze when Bollinger Bands (BB)—which reflect standard deviation around price—shrink inside the Keltner Channels (KC)—which reflect ATR/range. - This means dispersion (stdev) is small relative to typical range (ATR). Price is coiling; participants are agreeing on value. - When BB pops back outside KC, the squeeze releases. That’s the first sign that volatility is expanding again. - A release alone doesn’t tell you direction. That’s why this strategy pairs the release with a momentum filter: - We estimate momentum using a smoothed linear-regression slope of price (a clean proxy for acceleration). - If the slope is positive at release, we favor longs; if negative, we favor shorts. - Optionally, you can require Band Break + Momentum (price closes beyond the BB) for a stricter entry. - This combination aims to capture the first leg of the range-to-trend transition while avoiding random pokes that often occur during tight consolidations. 💡 Why this is unique Two entry modes (toggle): 1. Release + Momentum (enter when the squeeze turns off) 2. Band Break + Momentum (enter on a close beyond BB with momentum) - Momentum = smoothed linear-regression slope, a clean thrust detector that’s less laggy than many oscillators. - Risk module included: ATR stop, optional 1R partial take-profit, and a Chandelier trailing stop for the runner. - Practical filters: higher-timeframe EMA trend alignment, volume surge, minimum BB width, and session window—so it adapts across markets/timeframes. - Backtest-ready: uses TradingView’s `strategy.` framework with commission/slippage controls. 📈 How it helps traders ✅Regime clarity: distinguishes compression vs. expansion so you’re not forcing trades during dead zones. ✅Objective entries: momentum + band logic reduces discretionary “feel” and late chases. ✅Built-in risk plan: stop/targets/trailing defined in inputs—consistent execution across tickers. ✅Adaptable: works across instruments/timeframes; filters let you tailor noise tolerance per market session. ✅Alerts: real-time signals for entry and squeeze release. ✅Not a Mash-Up / Original Work ✅Fully authored in Pine Script v6; no external libraries or copied logic blocks. ✅Uses well-known, documented formulas (BB, KC, ATR, LinReg slope) combined into a new rule set (two entry modes + momentum + structured exits). ✅Code and parameters are transparent and adjustable; the script stands alone. 🧩 Formulas (core) Bollinger Bands # Basis = `SMA(close, bbLen)` # Upper/Lower = `Basis ± bbMult × stdev(close, bbLen)` # Width% = `(Upper − Lower) / Basis × 100` Keltner Channels # Basis = `EMA(close, kcLen)` # Upper/Lower = `Basis ± kcMult × ATR(kcATR)` Squeeze state # ON: `BB_Upper < KC_Upper` and `BB_Lower > KC_Lower` # Release: `squeeze_on ` and `not squeeze_on` Momentum (this script) # `lin = linreg(close, momLen, 0)` # `mom = SMA( lin − lin , momSmoothing )` # Long bias when `mom > 0`; short bias when `mom < 0`. ⚙️ Inputs Compression `bbLen`, `bbMult` — BB length & std-dev multiplier `kcLen`, `kcATR`, `kcMult` — KC lengths & ATR multiplier `Entry Mode` — Release + Momentum, Band Break + Momentum, or Either Momentum `momLen`, `momSmoothing` Filters (optional) `Use HTF Trend Filter` + `HTF Timeframe` + `HTF EMA Length` `Require Volume Surge` (`volLen`, `volMult`) `Avoid Ultra-Low Vol` (`Min BB Width %`) `Session` window Risk / Exits `ATR Length`, `ATR Stop Multiplier` `Take Profit at 1R` (with Partial 50%) `Chandelier` (`chLen`, `chMult`) Optional `Time Stop (bars)` 🎯 Entry & Exit Rules Entry (choose one mode): 1. Release + Momentum (default) Long: on the bar the squeeze releases and `mom > 0`, passing all enabled filters. Short: on the bar the squeeze releases and `mom < 0`, passing filters. 2. Band Break + Momentum Long: `close > BB_Upper` and `mom > 0`, with filters. Short: `close < BB_Lower` and `mom < 0`, with filters. Initial Stop ATR-based: `Stop Distance = atrMult × ATR(atrLen)` from entry. Targets & Runner TP1 at 1R (optional): take 50% at `entry + 1R` (long) / `entry − 1R` (short). Runner: remaining position trails a Chandelier stop: Long trail = `highest(high, chLen) − chMult × ATR` Short trail = `lowest(low, chLen) + chMult × ATR` Optional Time Stop: close the trade after N bars in position. Labels on chart “Long” / “Short” = entry signals. “L-TP1 / S-TP1” = partial exits at 1R. “L-Runner / S-Runner” = trailing-stop exits of the runner. Alerts Provided for Long Entry, Short Entry, and Squeeze Release. 💬 How to use 1. Choose your market/timeframe (e.g., NSE 5–15m intraday, 60m–Daily for swing). 2. If you prefer cleaner trends, enable the HTF EMA filter (e.g., 240m/1D). 3. For intraday, consider Band Break + Momentum with Volume Surge and a small Min BB Width. 4. Adjust ATR/Chandelier multipliers to fit your risk tolerance and instrument. Abbreviations BB – Bollinger Bands KC – Keltner Channels ATR – Average True Range SMA / EMA – Simple/Exponential Moving Average HTF – Higher Timeframe R – Risk unit (equal to the initial stop distance) ⚠️ Disclaimer This script is for educational purposes only. Past performance ≠ future returns. Always paper trade first. Options trading carries high risk — manage exposure responsibly.
استراتيجية Pine Script®
من ‎kedarcquant‎
RVI with SMA Smoothing and Divergence SignalsThis script enhances the Relative Volatility Index (RVI)—originally introduced by Donald Dorsey in 1993—by integrating three complementary analytical features: 1. SMA-based smoothing of the RVI line to reduce noise and clarify the underlying volatility momentum trend. 2. Automated detection of regular and hidden divergences between price action (highs/lows) and RVI pivots, using robust `ta.pivotlow` and `ta.pivothigh` logic with configurable lookback and search ranges. 3. Visual labels ("R" for regular, "H" for hidden) and color-coded pivot markers to help traders quickly identify potential reversal or continuation zones. Unlike basic RVI implementations, this version is designed to highlight momentum-price decoupling, a key concept in technical analysis. The divergence engine is synchronized with RVI’s unique 0–100 scale and volatility-based calculation, ensuring signals are contextually relevant—not generic overlays. How it works: - RVI is computed using standard deviation of directional price changes, normalized to 0–100. - A user-defined SMA (default: 14 periods) smooths the RVI for trend clarity. - Divergences are confirmed only when both a valid price pivot and a corresponding RVI pivot occur within a configurable bar range (default: 5–60 bars). - Hidden bearish divergences are disabled by default to reduce noise on short-term charts. Suggested use: - Regular bullish divergences near the 20 (oversold) level may signal exhaustion of a downtrend. - Regular bearish divergences above 80 (overbought) can warn of upward momentum loss. - Combine with price structure (support/resistance) for higher-probability setups. This script is **not a simple mashup**: the integration of divergence logic with RVI’s volatility-based nature, parameterized sensitivity controls, and clean visualization provides a cohesive analytical tool not found in standard indicators. > Disclaimer: This script is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Past performance is not indicative of future results. — Créditos: - RVI concept: Donald Dorsey (1993) - Divergence methodology: Standard technical analysis practice - Implementation and enhancements: © Carlos Mauricio Vizcarra (2025) - Licensed under MPL 2.0
مؤشر Pine Script®
من ‎CARLOSVIZCARRA17‎
Venza Rocket ScalperVenza Rocket Scalper: Compliant Description (Plaintext) This strategy is a complex, multi-indicator trend-following system designed for intraday scalping on low-timeframe charts. It uses a confluence of four distinct filters to ensure high-conviction entries during optimal momentum and volume. 1. Overview and Core Logic The entry signal requires simultaneous confirmation from the following components: Trend Confirmation (Heikin-Ashi EMAs): The primary trend is established using Heikin-Ashi price action combined with an EMA (Fast=8) crossing and remaining above an EMA (Slow=21). This provides a smoother, momentum-based trend signal. Momentum Strength (ADX/RSI): The trend must be validated by the ADX (default 16) to confirm sufficient directional strength, and the RSI (default 42) to confirm continued positive internal momentum. Volume Validation: A dynamic filter requires the current bar's volume to be greater than the 20-period Volume MA (multiplied by the default 1.0 factor), ensuring trades are executed during periods of active market participation. Session & Volatility Filter: Trades are restricted to a defined trading window (default UTC 12:00 to 20:00). The script also includes an optional Volatility Cap filter based on a long-term ATR to suppress entries during extreme volatility. 2. Trade Management and Realistic Risk This strategy employs a robust, partial-exit risk management plan driven by the Average True Range (ATR) for sustainable risk control. Initial Stop Loss (SL): The initial SL is tight and calculated dynamically using the 14-period ATR multiplied by an adjustable factor (default 0.7). This size is designed for micro-losses appropriate for scalping and is adapted slightly during high volatility. Partial Exits & Profit Taking: The position is split into two equal halves for exit management: 50% Position (TP1): Exited at a 1R profit target, where 1R is defined as the exact value of the initial ATR-based SL. 50% Position (Run): Managed by a Trailing Stop Loss (TSL), with trail points also calculated dynamically using the current ATR. Breakeven (BE) Lock: An optional feature (default: ON) automatically moves the stop loss to Breakeven (entry price plus 1 tick) once the position is 2 ticks in profit, locking in capital protection rapidly. Daily Risk Controls: The strategy includes mandatory daily money management features (default: ON): Max Daily Loss Stop: Stops all trading for the day if the cumulative closed P&L reaches -$500 (default). Profit Protection Floor: If the closed P&L reaches a minimum threshold (default $110), any open position will be closed if the total daily P&L drops back below this floor, locking in minimum daily gains. 3. Strategy Properties & Backtesting Disclosure The default settings are configured for high-liquidity futures or FX markets. Users must ensure their backtesting environment is realistic: Risk Per Trade: The ATR-based SL aims to keep the risk per trade below 5% of a reasonable account size, which is critical for sustainable trading. Contracts/Size: Default quantity is 3 contracts. Commissions/Slippage: Commissions and slippage MUST be configured by the user in the Strategy Properties window to reflect real-world brokerage fees and execution costs. Sample Size: The strategy should be run on a dataset that generates over 100 trades for statistically valid results. MANDATORY DISCLAIMER: Past performance is not necessarily indicative of future results. Trading involves substantial risk. All claims of historical performance are substantiated by the backtesting results on the chart, but these results do not guarantee actual trading outcomes. Keep your language realistic.
استراتيجية Pine Script®
من ‎ngukevin90‎
EMA 9 & 26 + Bollinger Bands — Colored Buy/Sell LabelsHere’s a **professional TradingView description** you can use when publishing or sharing your indicator 👇 --- ### 🟢 **EMA 9 & 26 + Bollinger Bands — Buy/Sell Labels** This indicator combines the **Exponential Moving Average (EMA) crossover strategy** with **Bollinger Bands** to provide clear and visually optimized **Buy/Sell signals** for trend-following traders. --- #### 🔍 **Core Features** * **EMA 9 & EMA 26 Crossover Logic** * *BUY signal*: when EMA 9 crosses **above** EMA 26 (bullish trend). * *SELL signal*: when EMA 9 crosses **below** EMA 26 (bearish trend). * **Bollinger Bands Overlay** * Visualize volatility and identify overbought/oversold zones. * **Color-Coded Labels** * 💚 **BUY** → Aqua-green label (`#00FFCC`) * ❤️ **SELL** → Pink-red label (`#FF007F`) * **Alert Ready** * Set TradingView alerts for both crossover events directly from the chart. --- #### ⚙️ **Customizable Inputs** * Short EMA Length → *default: 9* * Long EMA Length → *default: 26* * Bollinger Band Length → *default: 20* * Bollinger Band Multiplier → *default: 2.0* --- #### 💡 **How to Use** 1. Add this script to your TradingView chart. 2. Choose your preferred timeframe (works well on 5m, 15m, 1H, or 4H). 3. Watch for **BUY/SELL labels** to confirm potential entry or exit points. 4. Combine with volume or RSI for stronger confluence. --- #### ⚠️ **Notes** * This tool is designed for educational and analytical purposes. * Always confirm entries with additional technical or fundamental analysis. --- Would you like me to write a **shorter version (SEO-optimized)** for the *TradingView public library page* (under 300 characters), or keep this as your full-page script description?
مؤشر Pine Script®
من ‎Khateef‎
天干地支标注（当前视窗范围 + 居中标签）🇨🇳 中文说明 天干地支标注（自动匹配周期） 本指标会根据图表的时间周期（年、月、日、小时、分钟）自动计算并在每根 K 线上方显示对应的天干地支。 • 自动识别图表周期（年/月/日/时/分） • 仅显示当前视窗内的柱子，性能高、不卡顿 • 可自定义每隔 N 根显示一次（默认每根） • 支持居中矩形标签（label.style_label_center），清晰易读 • 无需区分暗黑/亮色主题，自动兼容所有图表样式 可作为金融时间序列与中国传统历法（干支纪时）结合的参考工具， 在时间周期研究、风水、气运周期、江恩时间分析等领域有辅助价值。 ⸻ 🇬🇧 English Description (for international visibility) Heavenly Stems & Earthly Branches Marker (Auto-Adaptive Version) This indicator automatically calculates and displays the corresponding Chinese Heavenly Stems and Earthly Branches (Ganzhi) for each candlestick, based on the chart’s timeframe (Year, Month, Day, Hour, or Minute). • Auto-detects chart timeframe • Draws only within the current visible window (optimized performance) • Adjustable display interval (e.g., show every N bars) • Uses centered label style for clarity • Compatible with both dark and light themes Useful for combining Chinese calendar cycles with financial time analysis, time-cycle studies, or Gann-style timing models.
مؤشر Pine Script®
من ‎realdan_1‎
WorldCup Dashboard + Institutional Sessions© 2025 NewMeta™ — Educational use only. # Full, Premium Description ## WorldCup Dashboard + Institutional Sessions **A trade-ready, intraday framework that combines market structure, real flow, and institutional timing.** This toolkit fuses **Institutional Sessions** with a **price–volume decision engine** so you can see *who is active*, *where value sits*, and *whether the drive is real*. You get: **CVD/Delta**, volume-weighted **Momentum**, **Aggression** spikes, **FVG (MTF)** with nearest side, **Daily Volume Profile (VAH/POC/VAL)**, **ATR regime**, a **24h position gauge**, classic **candle patterns**, IBH/IBL + **first-hour “true close”** lines, and a **10-vote confluence scoreboard**—all in one view. --- ## What’s inside (and how to trade it) ### 🌍 Institutional Sessions (Sydney • Tokyo • London • New York) * Session boxes + a highlighted **first hour**. * Plots the **true close** (first-hour close) as a running line with a label. **Use:** Many desks anchor risk to this print. Above = bullish bias; below = bearish. **IBH/IBL** breaks during London/NY carry the most signal. ### 📊 CVD / Delta (Flow) * Net buyer vs seller pressure with smooth trend state. **Use:** **Rising CVD + acceptance above mid/POC** confirms continuation. Bearish price + rising CVD = caution (possible absorption). ### ⚡ Volume-Weighted Momentum * Momentum adjusted by participation quality (volume). **Use:** Momentum>MA and >0 → trend drive is “real”; <0 and falling → distribution risk. ### 🔥 Aggression Detector * ROC × normalized volume × wick factor to flag **forceful** candles. **Use:** On spikes, avoid fading blindly—wait for pullbacks into **aligned FVG** or for aggression to cool. ### 🟦🟪 Fair Value Gaps (with MTF) * Detects up to 3 recent FVGs and marks the **nearest** side to price. **Use:** Trend pullbacks into **bullish FVG** for longs; bounces into **bearish FVG** for shorts. Optional threshold to filter weak gaps. ### 🧭 24h Gauge (positioning) * Shows current price across the 24h low⇢high with a mid reference. **Use:** Above mid and pushing upper third = momentum continuation setups; below mid = sell the rips bias. ### 🧱 Daily Volume Profile (manual per day) * **VAH / POC / VAL** derived from discretized rows. **Use:** **POC below** supports longs; **POC above** caps rallies. Fade VAH/VAL in ranges; treat them as break/hold levels in trends. ### 📈 ATR Regime * **ATR vs ATR-avg** with direction and regime flag (**HIGH / NORMAL / LOW**). **Use:** HIGH ⇒ give trades room & favor trend following. LOW ⇒ fade edges, scale targets. ### 🕯️ Candle Patterns (contextual, not standalone) * Engulfings, Morning/Evening Star, 3 Soldiers/Crows, Harami, Hammer/Shooting Star, Double Top/Bottom. **Use:** Only with session + flow + momentum alignment. ### 🤝 Price–Volume Classification * Labels each bar as **continuation**, **exhaustion**, **distribution**, or **healthy pullback**. **Use:** Align continuation reads with trend; treat “Price↑ + Vol↓” as a caution flag. ### 🧪 Confluence Scoreboard & B/S Meter * Ten elements vote: 🔵 bull, ⚪ neutral, 🟣 bear. **Use:** Execution filter—take setups when the board’s skew matches your trade direction. --- ## Playbooks (actionable) **Trend Pullback (Long)** 1. London/NY active, Momentum↑, CVD↑, price above 24h mid & POC. 2. Pullback into **nearest bullish FVG**. 3. Invalidate under FVG low or **true-close** line. 4. Targets: IBH → VAH → 24h high. **Range Fade (Short)** 1. Asia/quiet regime, **Price↑ + Vol↓** into **VAH**, ATR low. 2. Nearest FVG bearish or scoreboard skew bearish. 3. Invalidate above VAH/IBH. 4. Targets: POC → VAL. **News/Impulse** Aggression spike? Don’t chase. Let it pull back into the aligned FVG; require CVD/Momentum agreement before entry. --- ## Alerts (included) * **Bull/Bear Confluence ≥ 7/10** * **Intraday Target Achieved** / **Daily Target Achieved** * **Session True-Close Retests** (Sydney/Tokyo/London/NY) *(Keep alerts “Once per bar” unless you specifically want intrabar triggers.)* --- ## Setup Tips * **UTC**: Choose the reference that matches how you track sessions (default UTC+2). * **Volume threshold**: 2.0× is a strong baseline; raise for noisy alts, lower for majors. * **CVD smoothing**: 14–24 for scalps; 24–34 for slower markets. * **ATR lengths**: Keep defaults unless your asset has a persistent regime shift. --- ## Why this framework? Because **timing (sessions)**, **truth (flow)**, and **location (value/FVG)** together beat any single signal. You get *who is trading*, *how strong the push is*, and *where risk lives*—on one screen—so execution is faster and cleaner. --- **Disclaimer**: Educational use only. Not financial advice. Markets are risky—backtest and size responsibly.
مؤشر Pine Script®
من ‎onedaywillbebillionaire‎
Arnaud Legoux Gaussian Flow | AlphaNattArnaud Legoux Gaussian Flow | AlphaNatt A sophisticated trend-following and mean-reversion indicator that combines the power of the Arnaud Legoux Moving Average (ALMA) with advanced Gaussian distribution analysis to identify high-probability trading opportunities. 🎯 What Makes This Indicator Unique? This indicator goes beyond traditional moving averages by incorporating Gaussian mathematics at multiple levels: ALMA uses Gaussian distribution for superior price smoothing with minimal lag Dynamic envelopes based on Gaussian probability zones Multi-layer gradient visualization showing probability density Adaptive envelope modes that respond to market conditions 📊 Core Components 1. Arnaud Legoux Moving Average (ALMA) The ALMA is a highly responsive moving average that uses Gaussian distribution to weight price data. Unlike simple moving averages, ALMA can be fine-tuned to balance responsiveness and smoothness through three key parameters: ALMA Period: Controls the lookback window (default: 21) Gaussian Offset: Shifts the Gaussian curve to adjust lag vs. responsiveness (default: 0.85) Gaussian Sigma: Controls the width of the Gaussian distribution (default: 6.0) 2. Gaussian Envelope System The indicator features three envelope calculation modes: Fixed Mode: Uses ATR-based fixed width for consistent envelope sizing Adaptive Mode: Dynamically adjusts based on price acceleration and volatility Hybrid Mode: Combines ATR and standard deviation for balanced adaptation The envelopes represent statistical probability zones. Price moving beyond these zones suggests potential mean reversion opportunities. 3. Momentum-Adjusted Envelopes The envelope width automatically expands during strong trends and contracts during consolidation, providing context-aware support and resistance levels. ⚡ Key Features Multi-Layer Gradient Visualization The indicator displays 10 gradient layers between the ALMA and envelope boundaries, creating a visual "heat map" of probability density. This helps traders quickly assess: Distance from the mean Potential support/resistance strength Overbought/oversold conditions in context Dynamic Color Coding Cyan gradient: Price below ALMA (bullish zone) Magenta gradient: Price above ALMA (bearish zone) The ALMA line itself changes color based on price position Trend Regime Detection The indicator automatically identifies market regimes: Strong Uptrend: Trend strength > 0.5% with price above ALMA Strong Downtrend: Trend strength < -0.5% with price below ALMA Weak trends and ranging conditions 📈 Trading Strategies Mean Reversion Strategy Look for price entering the extreme Gaussian zones (beyond 95% of envelope width) when trend strength is moderate. These represent statistical extremes where mean reversion is probable. Signals: Long: Price in lower Gaussian zone with trend strength > -0.5% Short: Price in upper Gaussian zone with trend strength < 0.5% Trend Continuation Strategy Enter when price crosses the ALMA during confirmed strong trend conditions, riding momentum while using the envelope as a trailing stop reference. Signals: Long: Price crosses above ALMA during strong uptrend Short: Price crosses below ALMA during strong downtrend 🎨 Visualization Guide The gradient layers create a "probability cloud" around the ALMA: Darker shades (near ALMA): High probability zone - price tends to stay here Lighter shades (near envelope edges): Lower probability - potential reversal zones Price at envelope extremes: Statistical outliers - strongest mean reversion setups ⚙️ Customization Options ALMA Parameters Adjust period for different timeframes (lower for day trading, higher for swing trading) Modify offset to tune responsiveness vs. smoothness Change sigma to control distribution width Envelope Configuration Choose envelope mode based on market characteristics Adjust multiplier to match instrument volatility Modify gradient depth for visual preference (5-15 layers) Signal Enhancement Momentum Length: Lookback for trend strength calculation Signal Smoothing: Additional EMA smoothing to reduce noise 🔔 Built-in Alerts The indicator includes six pre-configured alert conditions: ALMA Trend Long - Price crosses above ALMA in strong uptrend ALMA Trend Short - Price crosses below ALMA in strong downtrend Mean Reversion Long - Price enters lower Gaussian zone Mean Reversion Short - Price enters upper Gaussian zone Strong Uptrend Detected - Momentum confirms strong bullish regime Strong Downtrend Detected - Momentum confirms strong bearish regime 💡 Best Practices Use on clean, liquid markets with consistent volatility Combine with volume analysis for confirmation Adjust envelope multiplier based on backtesting for your specific instrument Higher timeframes (4H+) generally provide more reliable signals Use adaptive mode for trending markets, hybrid for mixed conditions ⚠️ Important Notes This indicator works best in markets with normal price distribution Extreme news events can invalidate Gaussian assumptions temporarily Always use proper risk management - no indicator is perfect Backtest parameters on your specific instrument and timeframe 🔬 Technical Background The Arnaud Legoux Moving Average was developed to solve the classic dilemma of moving averages: the trade-off between lag and noise. By applying Gaussian distribution weighting, ALMA achieves superior smoothing while maintaining responsiveness to price changes. The envelope system extends this concept by creating probability zones based on volatility and momentum, effectively mapping where price is "likely" vs "unlikely" to be found based on statistical principles. Created by AlphaNatt - For educational purposes. Always practice proper risk management. Not financial advice. Always DYOR.
مؤشر Pine Script®
من ‎AlphaNatt‎
1
Dual Table Dashboard - Correct V3add RSI Data## 📈 Trading Applications ### 1. Trend Following Strategy ``` 1. Check TABLE 1 for trend direction (AnEMA29 + PDMDR) 2. If both green → Look for longs 3. If both red → Look for shorts 4. Use TABLE 2 for entry levels ``` ### 2. Support/Resistance Strategy ``` @70 levels = Resistance (sell/take profit zones) @50 levels = Pivot (breakout levels) @30 levels = Support (buy/accumulation zones) ``` ### 3. Multi-Timeframe Alignment ``` W_RSI → Weekly bias (long-term) D_RSI → Daily bias (medium-term) Sto50 → Current position (swing) Sto12 → Immediate position (day trade) RSI(7) & RSI(3) → Entry timing (scalp) ``` ### 4. Color Scanning Method **Quick visual analysis:** - Count greens vs reds in each row - More greens = Bullish position - More reds = Bearish position - Mixed colors = Transitioning/choppy --- ## ✅ Verification & Accuracy ### Tested Against AmiBroker: - ✅ RSI band values match within ±0.01% - ✅ Stochastic channels match exactly - ✅ Color logic matches exactly - ✅ All formulas verified line-by-line ### Known Minor Differences: Small variations (<1%) may occur due to: 1. **Platform calculation precision** - Different floating-point engines 2. **Historical data feeds** - Slight variations in past prices 3. **Weekly bar boundaries** - TradingView vs AmiBroker week definitions 4. **Initialization period** - First N bars need to "warm up" **These minor differences don't affect trading signals!** --- ## ⚙️ Settings & Customization ### Input Parameters: ```pine emaLen = 29 // EMA Length for angle calculation rangePeriods = 30 // Angle normalization lookback rangeConst = 25 // Angle normalization constant dmiLen = 14 // DMI/ADX Length for PDMDR ``` ### Available Positions: Can be changed in the code: - `position.top_left` - `position.top_center` - `position.top_right` - `position.middle_left` (Table 2 default) - `position.middle_center` - `position.middle_right` - `position.bottom_left` (Table 1 default) - `position.bottom_center` - `position.bottom_right` ### Text Sizes: - `size.tiny` - `size.small` (current default) - `size.normal` - `size.large` - `size.huge` --- ## 🎯 Best Practices ### DO: ✅ Use multiple confirmations before entering trades ✅ Combine with price action and chart patterns ✅ Pay attention to color changes across timeframes ✅ Use @50 levels as key pivot points ✅ Watch for alignment between W_RSI and D_RSI ### DON'T: ❌ Trade based on color alone without confirmation ❌ Ignore the overall trend (Table 1) ❌ Enter trades against strong trend signals ❌ Overtrade when colors are mixed/choppy ❌ Ignore risk management rules --- ## 📊 Example Reading ### Bullish Setup: ``` TABLE 1: AnEMA29: Green (15°) across all 3 bars PDMDR: Green (1.65) and rising TABLE 2: W_RSI@50: Green (price above) D_RSI@50: Green (price above) Sto50@50: Green (price above midpoint) Sto12@50: Green (price above midpoint) Interpretation: Strong bullish trend confirmed across multiple timeframes Action: Look for long entries on pullbacks to @50 or @30 levels ``` ### Bearish Setup: ``` TABLE 1: AnEMA29: Red (-12°) across all 3 bars PDMDR: Red (0.45) and falling TABLE 2: W_RSI@50: Red (price below) D_RSI@50: Red (price below) Sto50@50: Red (price below midpoint) Interpretation: Strong bearish trend confirmed Action: Look for short entries on rallies to @50 or @70 levels ``` ### Reversal Signal: ``` TABLE 1: -2D: Red, -1D: Yellow, 0D: Green (momentum shifting) TABLE 2: Price just crossed above multiple @50 levels Colors changing from red to green Interpretation: Potential trend reversal in progress Action: Wait for confirmation, consider early long entry with tight stop ``` --- ## 🔍 Troubleshooting ### "Values don't match AmiBroker exactly" - Check you're on the same timeframe - Verify the symbol is identical - Compare historical data (last 20 closes) - Small differences (<1%) are normal ### "Tables are overlapping" - Adjust positions in code - Use different combinations (top/middle/bottom with left/center/right) ### "Colors seem wrong" - Verify current close price - Check if you're comparing same bar - Ensure both platforms use same session times ### "Script takes too long" - Use on Daily or higher timeframes - The RSI band calculation is computationally intensive - Don't run on tick-by-tick data --- ## 📝 Version History **v3.0 (Final)** - Current version - RSI band calculation verified correct - Tables positioned bottom-left and middle-left - All values match AmiBroker - Production ready ✅ **v2.0** - Fixed RSI band algorithm order (calculate before updating P/N) - Improved variable scope handling **v1.0** - Initial implementation - Had incorrect RSI band calculation --- ## 📄 Files in Package
مؤشر Pine Script®
من ‎insomniac_vampire‎
jjjjjjjjExplanation of the Script Bullish and Bearish Candles: The function isBullishOrderBlock() checks if a candle is "bullish" in nature (based on body size to range ratio). Similarly, isBearishOrderBlock() checks for bearish candles. Order Block Length and Threshold: length is the number of bars to scan for an order block, and threshold sets how strong a candle needs to be to be considered an order block. Detection: The loop searches backward through the bars to find strong bullish and bearish order blocks, marking the price points where the strong moves happened. Plotting: The plotshape() function is used to plot arrows or labels on the chart to mark where bullish or bearish order blocks are identified. Improving and Customizing Highlighting Blocks: Instead of just marking a point, you can plot horizontal boxes or shaded regions using box.new() to visually highlight the order block zone. Use of Different Timeframes: You can modify the script to look for order blocks across multiple timeframes to increase accuracy. Complex Rules: Depending on your strategy, you may want to add additional rules, such as looking for price to return to the order block area before confirming the strength of the block.
مؤشر Pine Script®
من ‎InGodwetrust_777‎
Relative Vigor Index with Divergence and SMA FilterThis script implements the Relative Vigor Index (RVI), originally developed by John Ehlers, enhanced with three practical analytical layers: 1. Configurable SMA filter applied to the RVI line (default: 14 periods) to smooth noise and clarify the underlying momentum trend. 2. Automated divergence detection between price action and the RVI oscillator, identifying both: - Regular divergences ("R"): potential reversal signals (e.g., price makes a lower low while RVI makes a higher low). - Hidden divergences ("H"): potential continuation signals (e.g., price makes a higher low while RVI makes a lower low). 3.Visual aids: labeled markers ("R"/"H") and connecting lines to make divergence patterns immediately recognizable. Unlike basic RVI implementations, this version is designed to highlight momentum-price decoupling—a core concept in technical analysis—using robust pivot detection (`ta.pivotlow`/`ta.pivothigh`) with user-defined lookback and search ranges (default: 5–60 bars). The SMA filter helps traders distinguish between genuine momentum shifts and short-term volatility. How it works: - The RVI is calculated as the ratio of smoothed (close – open) to smoothed (high – low), reflecting the idea that in uptrends, closes tend to occur near highs, and in downtrends, near lows. - Divergences are confirmed only when both a valid price pivot and a corresponding RVI pivot occur within the specified bar range. - Hidden bearish divergences are disabled by default to reduce noise on shorter timeframes. Suggested use: - Use regular bullish divergences near negative RVI extremes as potential long setups. - Watch for regular bearish divergences at positive RVI peaks as early reversal warnings. - Combine with support/resistance or trend structure for higher-confidence entries. This script is not a simple mashup: the integration of divergence logic with the RVI’s unique behavior, configurable sensitivity, and clean visualization provides a cohesive analytical tool that goes beyond standard implementations. > Disclaimer: This script is for educational and informational purposes only. It does not constitute financial, investment, or trading advice. Past performance is not indicative of future results. — Credits: - Relative Vigor Index concept: John Ehlers - Divergence methodology: Standard technical analysis practice - Implementation and enhancements: © Carlos Mauricio Vizcarra (2025) - Licensed under MPL 2.0
مؤشر Pine Script®
من ‎CARLOSVIZCARRA17‎
EMA HI/LO Cloud Shift + Extra EMA//@version=6 indicator("EMA HI/LO Cloud Shift + Extra EMA + Shift EMA Line", overlay=true, max_lines_count=6, max_labels_count=0) // ------------------------ // Inputs // ------------------------ emaLength = input.int(22, "Main EMA Length", minval=1, maxval=200) emaLineColor = input.color(color.blue, "Main EMA Lines Color") // Main Cloud colors cloudAboveColor = input.color(color.new(color.green, 80), "Main Cloud Color (Price Above)") cloudBelowColor = input.color(color.new(color.red, 80), "Main Cloud Color (Price Below)") cloudInsideColor = input.color(color.new(color.orange, 80), "Main Cloud Color (Price Inside)") // ------------------------ // Shift EMA (new logic) // ------------------------ showShiftEMA = input.bool(true, "Show Shift EMA Line?") shiftEMALength = input.int(26, "Shift EMA Length", minval=1, maxval=500) shiftEMASource = input.source(close, "Shift EMA Source") // fully customizable source shiftEMAColor = input.color(color.purple, "Shift EMA Color") shiftEMAWide = input.int(2, "Shift EMA Line Width", minval=1, maxval=5) shiftEMAOffset = input.int(0, "Shift EMA Offset", minval=-100, maxval=100) // ------------------------ // Second EMA (independent) // ------------------------ showSecondEMA = input.bool(true, "Show Second EMA?") secondEMALength = input.int(200, "Second EMA Length", minval=1, maxval=1000) secondEMAColor = input.color(color.yellow, "Second EMA Color") secondEMAWide = input.int(2, "Second EMA Line Width", minval=1, maxval=5) // ------------------------ // Main EMA Cloud Calculations // ------------------------ emaHigh = ta.ema(high, emaLength) emaLow = ta.ema(low, emaLength) // ------------------------ // Main Cloud logic // ------------------------ priceAboveMain = close > emaHigh priceBelowMain = close < emaLow priceInsideMain = not priceAboveMain and not priceBelowMain cloudColorMain = priceAboveMain ? cloudAboveColor : priceBelowMain ? cloudBelowColor : cloudInsideColor p1_main = plot(emaHigh, title="Main EMA High", color=emaLineColor, linewidth=2) p2_main = plot(emaLow, title="Main EMA Low", color=emaLineColor, linewidth=2) fill(p1_main, p2_main, color=cloudColorMain, title="Main EMA Cloud") // ------------------------ // Shift EMA Line (replaces cloud offset) // ------------------------ shiftEMA = ta.ema(shiftEMASource, shiftEMALength) plot(showShiftEMA ? shiftEMA : na, title="Shift EMA Line", color=shiftEMAColor, linewidth=shiftEMAWide, offset=shiftEMAOffset) // ------------------------ // Second EMA Plot (Independent) // ------------------------ secondEMA = ta.ema(close, secondEMALength) plot(showSecondEMA ? secondEMA : na, title="Second EMA", color=secondEMAColor, linewidth=secondEMAWide)
مؤشر Pine Script®
من ‎Es-Sniper‎