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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.
Pine Script® göstergesi
realdan_1 tarafından
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.
Pine Script® göstergesi
iCD_creator tarafından
ICOptimizerLibrary "ICOptimizer" Library for IC-based parameter optimization findOptimalParam(testParams, icValues, currentParam, smoothing)   Find optimal parameter from array of IC values   Parameters:      testParams (array) : Array of parameter values being tested      icValues (array) : Array of IC values for each parameter (same size as testParams)      currentParam (float) : Current parameter value (for smoothing)      smoothing (simple float) : Smoothing factor (0-1, e.g., 0.2 means 20% new, 80% old)   Returns: New parameter value, its IC, and array index adaptiveParamWithStarvation(opt, testParams, icValues, smoothing, starvationThreshold, starvationJumpSize)   Adaptive parameter selection with starvation handling   Parameters:      opt (ICOptimizer) : ICOptimizer object      testParams (array) : Array of parameter values      icValues (array) : Array of IC values for each parameter      smoothing (simple float) : Normal smoothing factor      starvationThreshold (simple int) : Number of updates before triggering starvation mode      starvationJumpSize (simple float) : Jump size when in starvation (as fraction of range)   Returns: Updated parameter and IC detectAndAdjustDomination(longCount, shortCount, currentLongLevel, currentShortLevel, dominationRatio, jumpSize, minLevel, maxLevel)   Detect signal imbalance and adjust parameters   Parameters:      longCount (int) : Number of long signals in period      shortCount (int) : Number of short signals in period      currentLongLevel (float) : Current long threshold      currentShortLevel (float) : Current short threshold      dominationRatio (simple int) : Ratio threshold (e.g., 4 = 4:1 imbalance)      jumpSize (simple float) : Size of adjustment      minLevel (simple float) : Minimum allowed level      maxLevel (simple float) : Maximum allowed level   Returns: calcIC(signals, returns, lookback)   Parameters:      signals (float)      returns (float)      lookback (simple int) classifyIC(currentIC, icWindow, goodPercentile, badPercentile)   Parameters:      currentIC (float)      icWindow (simple int)      goodPercentile (simple int)      badPercentile (simple int) evaluateSignal(signal, forwardReturn)   Parameters:      signal (float)      forwardReturn (float) updateOptimizerState(opt, signal, forwardReturn, currentIC, metaICPeriod)   Parameters:      opt (ICOptimizer)      signal (float)      forwardReturn (float)      currentIC (float)      metaICPeriod (simple int) calcSuccessRate(successful, total)   Parameters:      successful (int)      total (int) createICStatsTable(opt, paramName, normalSuccess, normalTotal)   Parameters:      opt (ICOptimizer)      paramName (string)      normalSuccess (int)      normalTotal (int) initOptimizer(initialParam)   Parameters:      initialParam (float) ICOptimizer   Fields:      currentParam (series float)      currentIC (series float)      metaIC (series float)      totalSignals (series int)      successfulSignals (series int)      goodICSignals (series int)      goodICSuccess (series int)      nonBadICSignals (series int)      nonBadICSuccess (series int)      goodICThreshold (series float)      badICThreshold (series float)      updateCounter (series int)
Pine Script® kütüphanesi
cybermediaboy tarafından
IC optimiser libLibrary "IC optimiser lib" Library for IC-based parameter optimization findOptimalParam(testParams, icValues, currentParam, smoothing)   Find optimal parameter from array of IC values   Parameters:      testParams (array) : Array of parameter values being tested      icValues (array) : Array of IC values for each parameter (same size as testParams)      currentParam (float) : Current parameter value (for smoothing)      smoothing (simple float) : Smoothing factor (0-1, e.g., 0.2 means 20% new, 80% old)   Returns: New parameter value, its IC, and array index adaptiveParamWithStarvation(opt, testParams, icValues, smoothing, starvationThreshold, starvationJumpSize)   Adaptive parameter selection with starvation handling   Parameters:      opt (ICOptimizer) : ICOptimizer object      testParams (array) : Array of parameter values      icValues (array) : Array of IC values for each parameter      smoothing (simple float) : Normal smoothing factor      starvationThreshold (simple int) : Number of updates before triggering starvation mode      starvationJumpSize (simple float) : Jump size when in starvation (as fraction of range)   Returns: Updated parameter and IC detectAndAdjustDomination(longCount, shortCount, currentLongLevel, currentShortLevel, dominationRatio, jumpSize, minLevel, maxLevel)   Detect signal imbalance and adjust parameters   Parameters:      longCount (int) : Number of long signals in period      shortCount (int) : Number of short signals in period      currentLongLevel (float) : Current long threshold      currentShortLevel (float) : Current short threshold      dominationRatio (simple int) : Ratio threshold (e.g., 4 = 4:1 imbalance)      jumpSize (simple float) : Size of adjustment      minLevel (simple float) : Minimum allowed level      maxLevel (simple float) : Maximum allowed level   Returns: calcIC(signals, returns, lookback)   Parameters:      signals (float)      returns (float)      lookback (simple int) classifyIC(currentIC, icWindow, goodPercentile, badPercentile)   Parameters:      currentIC (float)      icWindow (simple int)      goodPercentile (simple int)      badPercentile (simple int) evaluateSignal(signal, forwardReturn)   Parameters:      signal (float)      forwardReturn (float) updateOptimizerState(opt, signal, forwardReturn, currentIC, metaICPeriod)   Parameters:      opt (ICOptimizer)      signal (float)      forwardReturn (float)      currentIC (float)      metaICPeriod (simple int) calcSuccessRate(successful, total)   Parameters:      successful (int)      total (int) createICStatsTable(opt, paramName, normalSuccess, normalTotal)   Parameters:      opt (ICOptimizer)      paramName (string)      normalSuccess (int)      normalTotal (int) initOptimizer(initialParam)   Parameters:      initialParam (float) ICOptimizer   Fields:      currentParam (series float)      currentIC (series float)      metaIC (series float)      totalSignals (series int)      successfulSignals (series int)      goodICSignals (series int)      goodICSuccess (series int)      nonBadICSignals (series int)      nonBadICSuccess (series int)      goodICThreshold (series float)      badICThreshold (series float)      updateCounter (series int)
Pine Script® kütüphanesi
cybermediaboy tarafından
Sigma Volatility BandsThis indicator models and displays bands of potential future price based on historic realized volatility. This can be used for finding price target where there is no past price action. The price bands are derived from Standard Deviations based on input bars back of historic volatility. More Inputs: Lookback = Number of bars considered Forward Bars = Number of bars to project bands forward There are two display modes: Forward shifted envelopes = (see below) Draws bands of price from the Standard Deviation Forward for Anchor Lines = Draws a wedge out number of bars forward (Vibe coded. Message me for suggested updates and improvements)
Pine Script® göstergesi
norok tarafından
Midnight Lines for Tokyo, London, New Yorkممتاز 👌 إليك **تعريفًا محدثًا وكاملًا للمؤشر باللغتين العربية والإنجليزية**، مع إدراج توضيح دقيق لتعامل المؤشر مع **تغيّر التوقيت الصيفي والشتوي (DST)** في لندن ونيويورك: --- ## 🇬🇧 **English Description (with DST behavior)** **Indicator name:** *Midnight Lines for Tokyo, London, and New York* **Purpose:** This indicator automatically draws **vertical lines** on the chart at **midnight (00:00)** for the three major global trading sessions: * **Tokyo** * **London** * **New York** ### 🔹 How it works: 1. The script checks each candle’s time using the built-in TradingView time zone function: * `"Asia/Tokyo"` * `"Europe/London"` * `"America/New_York"` 2. When it detects **00:00** in any of these zones, it draws: * A **vertical dotted line** that extends from the top to the bottom of the chart. * A **label** at the top with the session name (e.g., “Tokyo Midnight”). 3. Each session has its own color for clarity: * **Blue** → Tokyo Midnight * **Green** → London Midnight * **Red** → New York Midnight ### 🕒 Automatic Daylight Saving Time (DST) Adjustment: The indicator automatically adapts to **Daylight Saving Time changes** in both **London** and **New York**: * When London switches between **GMT and GMT+1**, the midnight line shifts automatically to remain accurate. * When New York switches between **EST and EDT**, the script also updates accordingly. * Tokyo does **not** observe DST, so its timing stays constant year-round. ### 🎯 Purpose: Helps traders visually track the start of each new trading day in the major sessions and analyze: * Session overlaps (e.g., London–New York overlap) * Session-based trading strategies * Price movement behavior at each new day open --- ## 🇸🇦 **الوصف بالعربية (مع إدراج تغير التوقيت)** **اسم المؤشر:** خطوط منتصف الليل لجلسات طوكيو، لندن، ونيويورك **الهدف:** يقوم هذا المؤشر تلقائيًا برسم **خطوط عمودية** على الرسم البياني عند **منتصف الليل (00:00)** لكل من الجلسات الثلاث الرئيسية: * **جلسة طوكيو** * **جلسة لندن** * **جلسة نيويورك** ### 🔹 كيفية العمل: 1. يستخدم المؤشر دوال TradingView لحساب الوقت الفعلي لكل مدينة: * `"Asia/Tokyo"` لطوكيو * `"Europe/London"` للندن * `"America/New_York"` لنيويورك 2. عند وصول الساعة إلى **00:00** بتوقيت أي مدينة، يرسم المؤشر: * **خطًا عموديًا متقطعًا** يمتد من أعلى إلى أسفل الرسم البياني. * **تسمية (Label)** أعلى الخط باسم الجلسة (مثل “Tokyo Midnight”). 3. كل جلسة لها لون مختلف: * **أزرق** → منتصف طوكيو * **أخضر** → منتصف لندن * **أحمر** → منتصف نيويورك ### 🕒 التعامل مع تغيّر التوقيت الصيفي والشتوي (DST): يتكيّف المؤشر تلقائيًا مع تغيّر التوقيت في لندن ونيويورك: * عندما تنتقل لندن بين **التوقيت الشتوي (GMT)** و**التوقيت الصيفي (GMT+1)**، يتحرك الخط تلقائيًا ليبقى في الساعة 00:00 المحلية. * وعندما تنتقل نيويورك بين **EST** و**EDT**، يتم تعديل الخط كذلك تلقائيًا. * أما طوكيو فلا تعتمد التوقيت الصيفي، لذا يبقى وقتها ثابتًا دائمًا على الساعة **00:00 JST**. ### 🎯 الفائدة: يساعد المتداولين على تحديد **بداية كل جلسة تداول رئيسية**، ومراقبة: * **تداخل الجلسات** مثل لندن ونيويورك * **تحركات السعر عند بداية اليوم الجديد** * **استراتيجيات التداول الزمنية حسب الجلسة** ---
Pine Script® göstergesi
CrownForex tarafından
200 EMA with ATR Bands//@version=6 indicator("200 EMA with ATR Bands", overlay=true) // === Inputs === emaLength = input.int(200, "EMA Length", minval=1) atrLength = input.int(14, "ATR Length", minval=1) atrMult = input.float(1.5, "ATR Multiplier", step=0.1, minval=0.1) emaColor = input.color(color.yellow, "EMA Color") bandColor = input.color(color.new(color.teal, 80), "Band Fill Color") // === Calculations === ema200 = ta.ema(close, emaLength) atrVal = ta.atr(atrLength) // Bands based on ATR upperBand = ema200 + atrVal * atrMult lowerBand = ema200 - atrVal * atrMult // === Plot === plot(ema200, title="200 EMA", color=emaColor, linewidth=2) pUpper = plot(upperBand, title="Upper ATR Band", color=color.new(color.teal, 0)) pLower = plot(lowerBand, title="Lower ATR Band", color=color.new(color.teal, 0)) // Fill the band region fill(pUpper, pLower, color=bandColor, title="ATR Band Fill")
Pine Script® göstergesi
Es-Sniper tarafından
10Y–2Y Treasury Yield Curve Spread & MES % Change📝 Description: This indicator tracks the U.S. 10-Year minus 2-Year Treasury yield spread — a powerful macroeconomic signal often used by professional traders to gauge market sentiment and recession risk — and overlays an optional MES % change line to help intraday futures traders spot macro–price divergences in real time. Features: 🏦 Plots the 10Y–2Y spread, with optional EMA smoothing. 📉 Highlights yield curve inversion (background turns red when spread < 0). 📊 Optional MES % change line from daily or RTH open for directional bias. 🔔 Alert conditions for: Yield curve inversion / un-inversion. Sudden spread spikes in basis points (customizable). 🧮 Optional correlation plot to visualize relationship strength between MES and the yield curve. 🧭 Z-score normalization allows both series to be viewed in one pane without scaling issues. Why it matters: A falling or inverted 2s10s spread often signals risk-off behavior and pressure on equities. A steepening curve tends to support risk-on rallies. Divergences between MES price action and the spread can provide early warning signals of reversals or fakeouts. Best used with: MES (MES1!) or MYM charts for intraday & swing bias. Fed event days, CPI/NFP, or any macro-sensitive sessions. VWAP or structure-based intraday trading strategies. ⚠️ Note: This indicator is for informational purposes only and does not constitute financial advice. Always combine macro context with your own trade plan and risk management.
Pine Script® göstergesi
SteveGold325 tarafından
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)
Pine Script® göstergesi
Es-Sniper tarafından
Trend Candles Full ColorThe coloring over the candle sticks isn't showing up on the picture for some reason but when you click on the indicator the color coding will appear on the chart. Trend Candles Full Color Indicator Explanation The "Trend Candles Full Color" indicator, designed for TradingView, visually enhances candlestick charts by coloring candles based on their position relative to a simple moving average (SMA). Here's how it works and how it can benefit traders: How It Works Input : Adjust the SMA period (default is 20) to define the trend length. Logic : The indicator compares the closing price of each candle to the SMA: Green Candle : Close is above the SMA (indicating an uptrend). Red Candle : Close is below the SMA (indicating a downtrend). Gray Candle : Close equals the SMA (neutral/no clear trend). Output : Candles (body, wick, and border) are colored green, red, or gray based on the trend, overlaid directly on your price chart. Benefits and Use Cases Trend-Following Strategies Benefit: Clearly identifies bullish (green) or bearish (red) trends, helping traders ride momentum. Example: A swing trader using a 20-period SMA can enter long positions when candles turn green (price above SMA) and exit or short when candles turn red, confirming trend reversals. Reversal Trading Benefit: Gray candles signal indecision near the SMA, often a precursor to reversals. Example: A day trader might watch for gray candles after a prolonged uptrend (green candles) to anticipate a potential bearish reversal, combining with other indicators like RSI for confirmation. Scalping Benefit: Quick visual cues for short-term trend changes on lower timeframes. Example: A scalper on a 5-minute chart can use green candles to confirm quick bullish moves and red candles to avoid counter-trend trades, enhancing decision speed. Position Sizing or Risk Management Benefit: Color changes highlight trend strength, aiding in adjusting trade size or stops. Example: A trader might increase position size during strong green candle sequences (sustained uptrend) and tighten stops when gray candles appear, signaling potential trend weakness. Tips for Use Adjust the MA Length to suit your trading style (e.g., shorter for scalping, longer for swing trading). Combine with other indicators (e.g., support/resistance, MACD) for better accuracy. Test on different timeframes to match your strategy. Recommended MA Length for 1-Minute Charts Short-Term/Scalping (1-5 minute trades):10-period SMA : Very sensitive, ideal for capturing quick price movements in fast markets. May produce more noise (false signals). 20-period SMA : A balanced choice for 1-minute charts, smoothing minor fluctuations while reacting to short-term trends. A great starting point for scalpers. Intraday Trend Trading (10-30 minute holds):50-period SMA : Captures broader intraday trends, reducing noise but lagging slightly. Suitable for larger moves within a session. This indicator simplifies trend identification, making it a versatile tool for traders of all styles, from beginners to advanced users! Recommended MA Length for Swing Trading / Higher Timeframes Swing Trading (holding trades for days to weeks):50-period SMA : A popular choice for swing traders on higher timeframes (e.g., 1-hour or 4-hour charts). It smooths out short-term fluctuations while identifying medium-term trends. Ideal for capturing multi-day swings. 100-period SMA : Slightly longer, this MA is great for confirming stronger, more sustained trends. It’s useful on 4-hour or daily charts for swing traders aiming to ride larger price moves. Longer-Term Trend Trading (holding for weeks to months):200-period SMA : A classic choice for higher timeframes like daily or weekly charts. It highlights major market trends and is widely used by swing and position traders to filter out noise and focus on long-term direction. 150-period SMA : A middle ground between the 100 and 200 SMA, suitable for daily charts when you want a balance between responsiveness and trend reliability.
Pine Script® göstergesi
herose4the tarafından
30-Week SMA (Fixed)This indicator plots a true 30-week Simple Moving Average (SMA) on any chart, regardless of the selected timeframe. It uses weekly candle data (via the request.security() function) to calculate the 30-week average and keeps it fixed — meaning the line remains accurate even when you switch to daily, 4-hour, or other timeframes. The 30-week SMA is a cornerstone of Stan Weinstein’s Stage Analysis strategy, commonly used to identify major trend phases: Above a rising SMA → bullish (Stage 2 uptrend) Below a falling SMA → bearish (Stage 4 downtrend) Use this indicator to maintain a consistent long-term trend filter on all timeframes
Pine Script® göstergesi
cheetiralasatyanarayana tarafından
Fiyat - 55 EMA Uzaklık SinyaliThis indicator generates a signal when the price moves a certain percentage away from the 55-period Exponential Moving Average (EMA). It helps traders identify when the market is stretched too far from its mean level, which can indicate potential reversal or continuation zones. ⚙️ How It Works Calculates the 55 EMA on the selected chart. Measures the percentage distance between the current price and the 55 EMA. When the price distance exceeds the user-defined threshold (default: 0.50%), a visual signal (orange triangle) appears on the chart. The background also highlights the signal candle. 🧩 Inputs EMA Length: Default = 55 (can be changed). Distance Threshold (%): Default = 0.50 → Change to detect stronger or weaker price deviations.
Pine Script® göstergesi
TrigialSystem tarafından
Trend Alignment TableThe Trend Alignment Table is a clean, visual tool designed to quickly assess trend direction and alignment across multiple moving averages — without cluttering your chart. Instead of plotting moving average lines, this indicator displays a compact on-chart table showing each selected MA and its corresponding trend status using color-coded circles. 🧩 How It Works Each circle represents the relationship between price and its corresponding moving average (MA): Price vs. MA MA Direction Circle Color Meaning Above Rising 🟢 Green Bullish continuation Above Falling 🟡 Yellow Weakening bullishness Below Falling 🔴 Red Bearish continuation Below Rising 🟡 Yellow Weakening bearishness ⚙️ Features Up to 4 customizable moving averages Type: SMA, EMA, SMMA (RMA), WMA, VWMA Source: Any price source (close, open, etc.) Length: Fully adjustable Dynamic color-coded circles (green, yellow, red by default — fully customizable) User-selectable table position (top-left, top-right, bottom-left, bottom-right) Clean visual layout for quick multi-timeframe trend confirmation 📊 Use Cases Instantly identify trend alignment across short-, medium-, and long-term averages Confirm trend strength or weakening momentum Combine with other indicators or strategies for confirmation signals 🧠 Default Settings MA Type Length Color MA #1 SMA 5 Green MA #2 SMA 20 Gold MA #3 SMA 50 Orange MA #4 SMA 150 Red 🧰 Created for traders who value clarity. Whether you trade trends, reversals, or momentum shifts, the Trend Alignment Table gives you a concise, at-a-glance view of the market’s directional structure.
Pine Script® göstergesi
austriancapitaltheory tarafından