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Taylor Zone Session═══════════════════════════════════════════════════════════ RELEASE NOTES — PDC Fix ═══════════════════════════════════════════════════════════ 🐛 BUG FIX — Previous Day Close (PDC) Fixed an issue where the Previous Day Close line was displayed at an incorrect price level on some symbols. ▶ What was happening The PDC auto-detection used a 1-minute request.security call to capture the close at 15:59 NY. Depending on how the data feed aligned its 1-minute bars, this could capture a price from before the actual session close, resulting in a displayed PDC that did not match the real 16:00 NY close (sometimes off by hundreds of points on fast-moving instruments). ▶ What's been fixed The PDC is now captured by tracking the RTH session (09:30–16:00 America/New_York) directly on the chart's timeframe. The close of the last bar of the session is frozen as the PDC for the next trading day. This is the same reliable method already used internally for the RTH OHLC tracking, and it matches the official "Close" value displayed by TradingView in the top-right data window. ▶ Impact - The displayed PDC now matches the real previous day's RTH close — no more discrepancy - No action required from the user — the fix applies automatically - Manual override input (Override Previous Day Close) remains available if you prefer to enter the value yourself - All other features (Taylor Zone, Sell/Buy Levels, PDH/PDL, Trend Table, etc.) are unchanged
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מאת ‎nicolas_dvx‎
NASDAQ Smooth Price Ribbon FLOW PRO MTF SMOOTHA professional multi-timeframe flow ribbon designed specifically for NASDAQ scalping and intraday trading. This indicator transforms price action into smooth dynamic flow zones that behave more like institutional liquidity fields than traditional moving averages. Unlike standard MTF EMA systems, the ribbons are organically smoothed to eliminate stair-stepping while still preserving true higher-timeframe structure and directional bias. The result is a clean momentum-flow overlay optimized for fast NASDAQ conditions on lower timeframes like M1 and M5. FEATURES Smooth Multi-Timeframe Flow Engine Includes 4 independent flow structures: Chart Timeframe x5 Intraday Flow x15 Session Flow 1H Institutional Flow Each layer acts as a dynamic liquidity ribbon instead of a static EMA. No Stair-Stepping Most MTF indicators suffer from hard HTF stepping. This script uses synthetic smoothing and multiplier-based flow projection to create continuous institutional-style curves while preserving HTF directional behavior. The HTF ribbons remain smooth even during strong volatility. Adaptive Dynamic Bands Ribbon width expands and contracts automatically based on: momentum acceleration flow strength volatility pressure directional expansion This creates natural liquidity zones during trends and tighter structures during consolidation. NASDAQ Optimized The default settings are specifically tuned for: NASDAQ M1 scalping fast momentum continuation pullback trading session flow analysis intraday trend alignment The indicator reacts quickly without becoming noisy. Smart Trend Coloring Color logic is intentionally simplified: Rising flow = green Falling flow = red This avoids constant color flipping during small pullbacks and creates cleaner trend readability. Professional Flow Structure Each timeframe has a different role: Chart TF → short-term momentum x5 → intraday trend guide x15 → session direction 1H → institutional bias / magnet zone The interaction between ribbons creates high-quality continuation and pullback areas. BEST USE CASES NASDAQ scalping Momentum trading Pullback entries Trend continuation HTF bias filtering Session flow analysis Liquidity zone visualization RECOMMENDED TIMEFRAMES Best optimized for: M1 M3 M5 Can also be used on: M15 H1 DEFAULT NASDAQ SETTINGS Main Smooth = 11 Flow Smooth = 4 Trend Smooth = 6 x5 Multiplier = 5 x15 Multiplier = 18 1H Multiplier = 75 These settings create: fast chart response smooth higher timeframe structure reduced noise strong trend continuation behavior cleaner institutional flow zones VISUAL INTERPRETATION Green Expanding Ribbon Strong bullish momentum expansion. Red Expanding Ribbon Strong bearish momentum expansion. Narrow Ribbon Compression / consolidation phase. Price Pullback Into HTF Ribbon Potential continuation zone. HTF Ribbon Crossovers Possible larger directional shift. IMPORTANT This indicator is not designed as a signal generator. It is a professional market structure and flow visualization tool intended to improve: directional bias trend alignment pullback timing momentum confirmation higher timeframe awareness Best combined with price action and volume analysis.
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מאת ‎Sachse-1980‎
RSI Multi-Timeframe DashboardRSI Multi-Timeframe Dashboard ═══════════════════════════════════════════ WHAT IT DOES ═══════════════════════════════════════════ This tool displays the Relative Strength Index (RSI) of up to six timeframes at once in a compact on-chart table, so you can judge momentum across the whole timeframe stack without switching charts. Instead of reading RSI on a single timeframe, you see how short-, medium- and higher-timeframe momentum line up — and a consensus row summarises the overall picture. It is designed as a CONFLUENCE tool: a way to see whether the broader market agrees with what you're seeing on your trading timeframe. ═══════════════════════════════════════════ HOW IT WORKS ═══════════════════════════════════════════ RSI is calculated with the standard Wilder method (default length 14) on each selected timeframe using request.security(). Each row is classified into a zone: - Overbought — RSI at or above the overbought level (default 70) - Oversold — RSI at or below the oversold level (default 30) - Bullish — RSI above the midline (default 50) - Bearish — RSI below the midline (default 50) The "ALL" row aggregates only the enabled timeframes: - If every enabled timeframe is oversold → "STRONG BUY ZONE" - If every enabled timeframe is overbought → "STRONG SELL ZONE" - Otherwise it shows the majority bias and a score, e.g. "BULLISH (4/5)" These are descriptions of momentum conditions — not instructions to buy or sell. ═══════════════════════════════════════════ HOW TO USE IT IN A TRADE ═══════════════════════════════════════════ The core idea is alignment. Higher-timeframe RSI defines the bias; lower-timeframe RSI helps with timing inside that bias. Example long workflow: 1. Bias — Confirm the higher timeframes (e.g. 4H, Daily) are Bullish (above the midline). This says the dominant momentum favours longs. 2. Timing — Wait for a lower timeframe (e.g. 5m/15m) to dip toward Oversold and turn back up, offering a pullback entry in the direction of the higher-TF bias. 3. Confluence — A "BULLISH (5/5)" or rising consensus score adds conviction; a "MIXED" reading is a reason to wait. 4. Management — Define your stop from price structure (recent swing), not from RSI alone, and size the position to your own risk rules. The short workflow is the mirror image (higher TFs Bearish, lower TF rallies into Overbought and rolls over). Things to respect: - RSI can remain Overbought in a strong uptrend (and Oversold in a strong downtrend) for a long time. "Overbought" is not automatically "sell." - Counter-trend signals (e.g. Oversold while higher TFs are Bearish) are lower-probability and best avoided or treated as scalps only. - This indicator does not place trades, set stops, or manage risk for you. ═══════════════════════════════════════════ SETTINGS ═══════════════════════════════════════════ - RSI — length, source, and the overbought / oversold / midline levels. - Timeframes to monitor — up to 6 slots, each with an on/off toggle and its own timeframe. Set them equal to or higher than your chart timeframe. - Style — table position, text size, and your own bullish / bearish colours. ═══════════════════════════════════════════ ALERTS ═══════════════════════════════════════════ - All timeframes oversold - All timeframes overbought - Consensus turned bullish (majority crossed above the midline) - Consensus turned bearish (majority crossed below the midline) ═══════════════════════════════════════════ NOTES, REPAINTING & LIMITATIONS ═══════════════════════════════════════════ - Monitored timeframes should be greater than or equal to your chart timeframe; requesting a lower timeframe is not meaningful. - Repainting: values use lookahead_off, so a higher-timeframe RSI updates live until that bar closes — this is intended for real-time reading. The reading on a closed higher-TF bar is final. - RSI is a momentum oscillator, not a forecast. This dashboard organises that information across timeframes; it does not predict price. This script is published open-source. Study it, learn from it, and adapt it to your own process. It is provided for educational purposes only and is not financial advice. Past behaviour of any indicator does not guarantee future results — always do your own analysis and manage your risk.
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מאת ‎Arjuntrader36‎
CVD Multi-Timeframe DashboardCVD Multi-Timeframe Dashboard ═══════════════════════════════════════════ WHAT IT DOES ═══════════════════════════════════════════ Most CVD tools only show you the timeframe you're standing on. This one shows you the whole stack at once. Stay on your execution chart — 1m, 3m, 5m, whatever you trade — and read the net buying vs. selling pressure of the 5m, 15m, 1h, 4h, Daily and Weekly in a single on-chart table. In one glance you know whether the bigger picture is backing your trade or fighting it. ═══════════════════════════════════════════ WHY IT'S USEFUL ═══════════════════════════════════════════ Price can rise while volume delta quietly turns negative — buyers stepping back even as the candle stays green. That divergence is an early warning, and it's far more powerful when you can see it line up (or break down) across multiple timeframes: - All rows green → broad, one-sided buying. Trend trades have the wind behind them. - All rows red → broad selling pressure. Longs are swimming upstream. - Mixed rows → the timeframes disagree — often a pullback, rotation, or a turning point forming. This turns CVD from a single-timeframe reading into a top-down confluence tool. ═══════════════════════════════════════════ HOW IT WORKS ═══════════════════════════════════════════ Volume Delta = volume hitting the offer (buying) minus volume hitting the bid (selling). The script uses TradingView's ta.requestVolumeDelta() engine, which scans lower-timeframe data to approximate that split as accurately as the data allows. Each row anchors that engine to a different timeframe and reports the NET delta of that timeframe's CURRENT, developing bar — i.e. how much net buy/sell flow has built up since that candle opened. As a higher-timeframe bar progresses, its value accumulates; when a new bar opens, it resets. That's why the rows genuinely differ from one another instead of repeating the same number. ═══════════════════════════════════════════ READING THE TABLE ═══════════════════════════════════════════ TF → the monitored timeframe CVD Δ → net volume delta of its current bar (auto-formatted K / M / B) Bias → BUY (positive) or SELL (negative), colour-coded ═══════════════════════════════════════════ SETTINGS ═══════════════════════════════════════════ - Timeframes to monitor — up to 6 slots, each with its own on/off toggle and timeframe. Set them equal to or higher than your chart timeframe. - Lower timeframe — resolution used to approximate up/down volume. Automatic by default; lower = more precise, higher = more history. - Style — table position, text size, and your own positive/negative colours. ═══════════════════════════════════════════ ALERTS ═══════════════════════════════════════════ "CVD bias flip" fires the moment any monitored timeframe's delta crosses between positive and negative — useful for catching a shift in flow without staring at the screen. ═══════════════════════════════════════════ NOTES & LIMITATIONS ═══════════════════════════════════════════ - Monitor timeframes ≥ your chart timeframe; lower ones aren't meaningful. - The symbol must provide volume data, or the script will tell you. - Lower-timeframe scanning approximates buy/sell volume — it isn't true tick or bid/ask data. Use it as a directional gauge, not an exact figure. Built on TradingView's open-source CVD logic and the ta.requestVolumeDelta() function from the TradingView/ta library. Open-source — feedback and forks welcome.
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מאת ‎Arjuntrader36‎
EMME EPS Main Features Moving Averages The script displays important moving averages to help identify the stock’s trend, trend alignment, and potential areas of support or resistance. Relative Strength Relative strength helps compare the stock’s performance against the broader market, allowing traders to identify names that are outperforming or underperforming. Volume Analysis The volume component helps highlight unusual activity and confirms whether a price move is supported by strong institutional participation or increased market interest. How I Use It This script is mainly intended for stock traders looking for momentum setups, especially when a stock is: Trending above key moving averages Showing relative strength versus the market Breaking out or moving with increased volume Building constructive bases or continuation patterns The goal is not to predict price movements, but to make it easier to quickly evaluate whether a stock has the technical characteristics of a strong momentum candidate.
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מאת ‎AryaJedi‎
Berg MMain Features Moving Averages The script displays important moving averages to help identify the stock’s trend, trend alignment, and potential areas of support or resistance. Relative Strength Relative strength helps compare the stock’s performance against the broader market, allowing traders to identify names that are outperforming or underperforming. Volume Analysis The volume component helps highlight unusual activity and confirms whether a price move is supported by strong institutional participation or increased market interest. How I Use It This script is mainly intended for stock traders looking for momentum setups, especially when a stock is: Trending above key moving averages Showing relative strength versus the market Breaking out or moving with increased volume Building constructive bases or continuation patterns The goal is not to predict price movements, but to make it easier to quickly evaluate whether a stock has the technical characteristics of a strong momentum candidate. Best Used For Stocks Swing trading Momentum trading Breakout setups Trend-following analysis Market leadership identification
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מאת ‎AryaJedi‎
Institutional Accumulation vs Distribution EngineThe Institutional Accumulation vs Distribution Engine is a professional-grade TradingView Pine v6 indicator built to detect whether a stock is being quietly accumulated by institutions or distributed after a rally. It combines price action, volume behavior, relative strength, volatility structure, and smart-money flow into a single weighted institutional score. 🔍 What the Indicator Detects ✅ Accumulation Signals Higher highs & higher lows Tight volatility contraction before breakout Rising smart-money absorption near VWAP/support Low-volume pullbacks during uptrends Relative outperformance vs Nifty and sector Breakouts with expanding volume ❌ Distribution Signals Failed breakouts and heavy-volume reversals Gap-up exhaustion candles Weak relative strength Breakdown after volume spikes Repeated rejection near resistance 📊 Weighted Institutional Model Price–Volume Structure → 20% Smart Money / Delivery Proxy → 20% Institutional Activity Proxy → 15% Fundamental Momentum → 15% Relative Strength → 10% Technical Structure → 10% Volatility Compression → 5% Market Cycle Positioning → 5% 📈 Outputs Institutional Score (0–100) Accumulation / Distribution Phase Confidence Level Smoothed Trend Strength The indicator uses Accumulation/Distribution (A/D) concepts widely used in institutional trading to analyze underlying supply-demand dynamics.
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מאת ‎ravigeenesingh‎
1
Smart Money Flow SMC Liquidity Voids EditionThis script is based on "Smart Money Concepts " © LuxAlgo Licensed under CC BY-NC-SA 4.0 Original: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT'S NEW IN THIS VERSION ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔷 Liquidity Voids Module (new) Detects price gaps larger than a configurable ATR(144) threshold and renders each void as 13 stacked gradient sub-boxes. Each void tracks its own filled/unfilled state — when price trades through it, the boxes transition to a neutral color or are removed depending on your preference. Supports Historical and Present modes with adjustable lookback depth. 🔷 Configurable OB Fill Transparency (new) A dedicated input decouples the Order Block fill opacity from the border opacity. This solves the washed-out OB appearance common on dark themes — you can keep a sharp border while using a subtle fill, or go fully solid, all without touching the color pickers. 🔷 Pine Script v6 Full Migration (new) All drawing calls updated to the chart.point.new() API. UDT fields use explicit types throughout. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ORIGINAL FEATURES (LuxAlgo engine) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ - Break of Structure (BOS) and Change of Character (CHoCH) on both Internal and Swing timeframes - Internal and Swing Order Blocks with mitigation tracking - Equal Highs / Equal Lows detection - Fair Value Gaps with auto threshold - Strong High / Weak High — Strong Low / Weak Low - Premium, Equilibrium and Discount Zones - Multi-timeframe Daily, Weekly and Monthly levels - Colored candles by trend bias - Historical and Present display modes - Monochrome style option ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE — LIQUIDITY VOIDS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Liquidity Voids mark areas where price moved so fast that little to no trading occurred. These zones often act as targets for future price revisits, similar to Fair Value Gaps but detected via a gap-based method rather than a three-candle imbalance pattern. - Threshold: increase to show only large voids, decrease for more. - Historical mode: scans all bars up to # Bars back. - Present mode: only tracks voids forming in real time. - Show Filled Voids: keep filled zones visible (grayed out) or remove them completely when price trades through.
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מאת ‎fabricionicolauxx‎
ENG CAPITAL SEASONALITY INDICATOR (MEVSIMSELLIK)İşte hem Türkçe hem İngilizce açıklama metni — kopyalayıp yapıştırabilirsin: 🇹🇷 Türkçe Bu indikatör, bir hissenin yılın belirli ay ve haftalarında tarihsel olarak nasıl performans sergilediğini gösterir. Son 3, 5, 8 ve 10 yıllık geçmişe bakarak mevcut ay ve hafta için kazanma oranı (WIN%) ile ortalama getiriyi hesaplar. Tüm hesaplamalar günlük (D) zaman diliminde yapılır — grafik zaman dilimini değiştirseniz bile sonuçlar sabit kalır. Tablo sütunları: POZ (pozitif kapanan yıl sayısı) | TOP (toplam yıl) | WIN% (kazanma oranı) | ORT.GET. (ortalama getiri) Mevsimsellik Skoru: Aylık veriye %80, haftalık veriye %20 ağırlık verilir. 50 ve üzeri POZİTİF, altı NEGATİF olarak işaretlenir. 🇬🇧 English This indicator shows how a symbol has historically performed during specific months and weeks of the year. It looks back 3, 5, 8, and 10 years to calculate the win rate (WIN%) and average return for the current month and week. All calculations run on the Daily (D) timeframe — results stay consistent regardless of the chart timeframe you use. Table columns: POZ (positive years) | TOP (total years) | WIN% (win rate) | ORT.GET. (average return) Seasonality Score: Monthly data carries 80% weight, weekly data 20%. Score ≥ 50 is marked POSITIVE 🟢, below 50 is NEGATIVE 🔴.
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מאת ‎ENG_CAPITAL‎