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Time Zone (with weekends)//@version=5 indicator("Time Zone (with weekends)", overlay=true) // Задаём сессию — например, с 01:00 до 13:00 UTC sessionTime = input.session("0100-1300", "Временной промежуток") zoneColor = input.color(color.new(color.blue, 85), "Цвет зоны") // Проверка, попадает ли текущий бар во временной промежуток inTimeZone = time(timeframe.period, sessionTime) // Закрашиваем фон bgcolor(inTimeZone ? zoneColor : na)
Penunjuk Pine Script®
oleh Alex2784_3513
BTC 现货与期货溢价指数█ Overview / 核心理念 This indicator measures the price difference between the Spot and Futures markets to reveal the true driver of market momentum. 本指标通过衡量现货与期货市场的价格差异，旨在揭示市场动能的真实驱动力。 It helps you answer a key question: Is the current trend driven by solid institutional spot buying or by speculative sentiment in the futures market? 它帮助您回答一个关键问题：当前趋势是由坚实的机构现货买盘驱动，还是由期货市场的投机情绪主导？ █ Core Logic & Calculation / 核心计算逻辑 The core logic is simple yet powerful: Premium = Spot Price - Futures Price. 其核心逻辑简单而强大：溢价 = 现货价格 - 期货价格。 Positive Value (Green Bars): "Spot Premium" 正值 (绿色柱): “现货溢价” This means the spot price is higher than the futures price. It's a strong bullish signal, suggesting significant spot buying pressure, likely from institutions. 这意味着现货价格高于期货价格。这是一个强烈的看涨信号，通常意味着存在巨大的现货买盘压力，可能来自机构。 Negative Value (Red Bars): "Futures Premium" 负值 (红色柱): “期货溢价” This means the futures price is higher than the spot price. It indicates that bullish sentiment is more concentrated in the futures market, or that there is selling pressure in the spot market. 这意味着期货价格高于现货价格。这表明看涨情绪更多地集中在期货市场，或现货市场存在抛售压力。 █ How to Read the Chart / 如何解读图表 Premium Histogram / 溢价柱状图 The height of the bars represents the magnitude of the price difference. Taller bars indicate a greater divergence between the two markets and more extreme sentiment. 柱体的高度代表了价格差异的大小。柱体越高，意味着两个市场之间的分歧越大，情绪越极端。 Zero Line / 零轴 This is the watershed between spot-led and futures-led dominance. 这是现货主导与期货主导的分水岭。 Info Panel / 信息面板 A real-time display in the top-right corner shows the current Spot Price, Futures Price, and the precise Premium value. 位于右上角的信息面板，实时显示当前的现货价格、期货价格以及精确的溢价数值。 █ Trading Strategies & Advanced Interpretation / 交易策略与高级解读 The essence of this indicator lies in analyzing the synergy and divergence between price action and premium changes to identify the dominant market force. 本指标的精髓在于结合价格行为与溢价变化，判断出当前主导市场是现货还是期货，从而进行同步或背离分析。 █ Alert System / 警报系统 The indicator includes two built-in alerts based on Bollinger Bands to catch extreme sentiment. 本指标包含两个基于布林带的内置警报，用以捕捉极端情绪。 Spot Premium Too High (Cross Up): 现货溢价过高 (向上突破): Triggers when the green premium bar breaks above the upper Bollinger Band. It signals that spot buying has become excessively "euphoric" and may be due for a short-term cooldown. 当绿色溢价柱向上突破布林带上轨时触发。这标志着现货买盘已进入极度的“狂热”状态，短期内可能面临回调。 Futures Premium Too High / Spot Selling Pressure (Cross Down): 期货溢价过高 / 现货抛压 (向下突破): Triggers when the premium bar breaks below the lower Bollinger Band (deeply negative). It signals intense spot selling pressure or panic, confirming strong bearish sentiment. 当溢价柱向下突破布林带下轨（负值极大）时触发。这标志着强烈的现货抛压或市场恐慌，是看跌情绪强烈的确认信号。 █ Disclaimer / 免责声明 This tool is based on the theory that the spot market has a dominant influence on major trends. Its effectiveness depends on this condition holding true. 本工具的理论基础是“现货市场对主要趋势具有主导影响力”。其有效性取决于该条件的成立。 This indicator is for educational and research purposes only. It does not constitute financial advice. Please use it in conjunction with your own trading system and risk management. 本指标仅用于教育和研究目的，不构成任何财务建议。请结合您自己的交易系统和风险管理进行使用。 Author ID：We1h0.eth Author X：https://x.com/we1h0
Penunjuk Pine Script®
oleh erevus
H BollingerBollinger Bands are a widely used technical analysis indicator that helps spot relative price highs and lows. The tool comprises three lines: a central band representing the 20-period simple moving average (SMA), and upper and lower bands usually placed two standard deviations above and below the SMA. These bands adjust with market volatility, offering insights into price fluctuations and trading conditions. How this indicator works Bollinger Bands helps traders assess price volatility and potential price reversals. They consist of three bands: the middle band, the upper band, and the lower band. Here's how Bollinger Bands work: Middle band: This is typically a simple moving average (SMA) of the asset's price over a specified period. The most common period used is 20 days. Upper band: This is calculated by adding a specified number of standard deviations to the middle band. The standard deviation measures the asset's price volatility. Commonly, two standard deviations are added to the middle band. Lower band: Similar to the upper band, it is calculated by subtracting a specified number of standard deviations from the middle band. What do Bollinger Bands tell you? Bollinger bands primarily indicate the level of market volatility and trading opportunities. Narrow bands indicate low market volatility, while wide bands suggest high market volatility. Bollinger bands indicators can be used by traders to assess potential buy or sell signals. For instance, a sell signal may be interpreted or generated if the asset’s price moves closer or crosses the upper band, as it may indicate that the asset is overbought. Alternatively, a buy signal may be interpreted or generated if the price moves closer to the lower band, as it may signify that the asset is oversold. However, traders should be cautious when using Bollinger Bands as standalone indicators when making trading decisions. Experienced traders refrain from confirming signals based on one indicator. Instead, they generally combine various technical indicators and fundamental analysis methods to make informed trading decisions. Basing trading decisions on only one indicator can result in misinterpretation of signals and heavy losses. Bollinger Bands assist in identifying whether prices are relatively high or low. They are applied as a pair—upper and lower bands—alongside a moving average. However, these bands are not designed to be used in isolation. Instead, they should be used to validate signals generated by other technical indicators. Calculation of Bollinger Band
Penunjuk Pine Script®
oleh qrdkob
Auto-Length Anchored Multiple EMA (Hour-Based)# Auto-Length Anchored Multiple EMA (Hour-Based) ## Overview This advanced EMA indicator automatically calculates Exponential Moving Average lengths based on the time elapsed since user-defined anchor dates. Unlike traditional fixed-length EMAs, this indicator dynamically adjusts EMA periods based on actual trading hours, making it ideal for event-based analysis and time-sensitive trading strategies. ## Key Features ### 🎯 **Dual Mode Operation** - **Auto Mode**: EMA length automatically calculated from anchor date to current time - **Manual Mode**: Traditional fixed-length EMA calculation - Switch between modes independently for each EMA ### 📊 **Multiple EMA Support** - Up to 4 independent EMAs with individual configurations - Each EMA can have its own anchor date and settings - Individual enable/disable controls for each EMA ### ⏰ **Smart Time Calculation** - Accounts for actual trading hours (customizable) - Weekend exclusion with Saturday trading option (for markets like NSE/BSE) - Hour multiplier for fine-tuning EMA sensitivity - Minimum EMA length protection to prevent calculation errors ### 🎨 **Visual Enhancements** - **Dynamic Fill Colors**: Fill between EMA1 and EMA3 changes color based on price position - **Customizable Colors**: Individual color settings for each EMA - **Anchor Visualization**: Optional vertical lines and labels at anchor dates - **Real-time Table**: Shows current EMA lengths, modes, and values ## Configuration Options ### Trading Session Settings - **Trading Hours Per Day**: Set your market's trading hours (1-24) - **Trading Days Per Week**: Configure for different markets (5 for Mon-Fri, 6 for Mon-Sat) - **Include Saturday**: Enable for markets that trade on Saturday - **Hour Multiplier**: Fine-tune EMA sensitivity (0.1x to 10x) ### EMA Configuration - **Anchor Dates**: Set specific start dates for each EMA calculation - **Manual Lengths**: Override with traditional fixed periods when needed - **Enable/Disable**: Individual control for each EMA - **Color Customization**: Personalize appearance for each EMA ### Visual Options - **Fill Settings**: Toggle and customize fill colors between EMAs - **Anchor Lines**: Show vertical lines at anchor dates - **Anchor Labels**: Display formatted anchor date information - **Length Table**: Real-time display of current EMA parameters ## Use Cases ### 📈 **Event-Based Analysis** - Anchor EMAs to earnings announcements, policy decisions, or market events - Track price behavior relative to specific time periods - Analyze momentum changes from key market catalysts ### 🕐 **Time-Sensitive Trading** - Perfect for intraday strategies where timing is crucial - Automatically adjusts to market hours and trading sessions - Eliminates manual EMA length recalculation ### 🌍 **Multi-Market Support** - Configurable for different global markets - Saturday trading support for Asian markets - Flexible trading hour settings ## Technical Details ### Calculation Method The indicator calculates trading bars elapsed since anchor date using: ``` Total Trading Bars = (Days Since Anchor × Trading Days Per Week ÷ 7) × Trading Hours Per Day × Hour Multiplier ``` ### EMA Formula Uses standard EMA calculation with dynamically calculated alpha: ``` Alpha = 2 ÷ (Current Length + 1) EMA = Alpha × Current Price + (1 - Alpha) × Previous EMA ``` ### Weekend Handling - Automatically excludes weekends from calculation - Optional Saturday inclusion for specific markets - Accurate trading day counting ## Installation & Setup 1. **Add to Chart**: Apply the indicator to your desired timeframe 2. **Set Anchor Dates**: Configure anchor dates for each EMA you want to use 3. **Adjust Trading Hours**: Set your market's trading session parameters 4. **Customize Appearance**: Choose colors and visual options 5. **Enable Features**: Turn on fills, anchor lines, and information table as needed ## Best Practices - **Anchor Selection**: Choose significant market events or technical breakouts as anchor points - **Multiple Timeframes**: Use different anchor dates for short, medium, and long-term analysis - **Hour Multiplier**: Start with 1.0 and adjust based on market volatility and your trading style - **Visual Clarity**: Use contrasting colors for different EMAs to improve readability ## Compatibility - **Pine Script Version**: v6 - **Chart Types**: All chart types supported - **Timeframes**: Works on all timeframes (optimal on intraday charts) - **Markets**: Suitable for stocks, forex, crypto, and commodities ## Notes - Indicator starts calculation from the anchor date forward - Minimum EMA length prevents calculation errors with very recent anchor dates - Table display updates in real-time showing current EMA parameters - Fill colors dynamically change based on price position relative to EMA1 --- *This indicator is perfect for traders who want to combine the power of EMAs with event-driven analysis and precise time-based calculations.*
Penunjuk Pine Script®
oleh shivkumar503244
Enhanced Gann Time-Price SquaresEnhanced Gann Time-Price Squares Indicator A comprehensive Pine Script indicator that identifies and visualizes W.D. Gann's time-price square formations on your charts. This tool helps traders spot potential market turning points where time and price movements align according to Gann's legendary market theories. Key Features: Automatic Square Detection - Identifies completed squares where price movement equals time movement Future Projections - Shows forming squares with projected completion points Pivot Integration - Automatically detects pivot highs/lows as square starting points Visual Clarity - Clean box outlines with customizable colors and styles Smart Filtering - Prevents overlapping squares and includes minimum move thresholds Real-time Status - Information table showing current square formations How to Use: The indicator draws boxes when price moves from pivot points equal the time elapsed (number of bars). Green squares indicate upward movements, red squares show downward movements. Dashed lines show forming squares, while dotted lines project where they might complete. Settings: Adjust pivot sensitivity and minimum price moves Customize tolerance for time-price matching Toggle projections, labels, and visual elements Fine-tune colors and line styles Perfect for Gann theory practitioners and traders looking for time-based market analysis. The squares often coincide with significant support/resistance levels and potential reversal points. Compatible with all timeframes and instruments. More updates to follow
Penunjuk Pine Script®
oleh TimePriceDecoder
Weekly Volume USDT## Description This Pine Script indicator displays the trading volume for each day of the current week (Monday through Sunday) in a clean table format on your TradingView chart. The volume is calculated in USDT equivalent and displayed in the top-right corner of the chart. ## Features - **Weekly Volume Breakdown**: Shows individual daily volumes from Monday to Sunday - **USDT Conversion**: Automatically converts volume to USDT using the average price (open + close / 2) - **Smart Formatting**: - Large numbers are formatted with K (thousands) and M (millions) suffixes - Example: 1,234,567 → 1.23M USDT - **Clean Table Display**: Fixed position table in the top-right corner - **Current Week Focus**: Displays volumes for the current week only - **Future Days Handling**: Days that haven't occurred yet in the current week show as "-" ## How It Works 1. The indicator calculates the average price for each day using (Open + Close) / 2 2. Multiplies the daily volume by the average price to get USDT-equivalent volume 3. Displays the results in an easy-to-read table format ## Use Cases - **Volume Analysis**: Quickly identify which days of the week have the highest trading activity - **Pattern Recognition**: Spot weekly volume patterns and trends - **Trading Decisions**: Use volume information to inform your trading strategies - **Market Activity Monitoring**: Keep track of market participation throughout the week ## Installation Simply add this indicator to your TradingView chart and it will automatically display the weekly volume table in the top-right corner. ## Tags #volume #weekly #USDT #table #analysis #trading #cryptocurrency
Penunjuk Pine Script®
oleh nooptr
Fear and Greed Index [DunesIsland]The Fear and Greed Index is a sentiment indicator designed to measure the emotions driving the stock market, specifically investor fear and greed. Fear represents pessimism and caution, while greed reflects optimism and risk-taking. This indicator aggregates multiple market metrics to provide a comprehensive view of market sentiment, helping traders and investors gauge whether the market is overly fearful or excessively greedy.How It WorksThe Fear and Greed Index is calculated using four key market indicators, each capturing a different aspect of market sentiment: Market Momentum (30% weight) Measures how the S&P 500 (SPX) is performing relative to its 125-day simple moving average (SMA). A higher value indicates that the market is trading well above its moving average, signaling greed. Stock Price Strength (20% weight) Calculates the net number of stocks hitting 52-week highs minus those hitting 52-week lows on the NYSE. A greater number of net highs suggests strong market breadth and greed. Put/Call Options (30% weight) Uses the 5-day average of the put/call ratio. A lower ratio (more call options being bought) indicates greed, as investors are betting on rising prices. Market Volatility (20% weight) Utilizes the VIX index, which measures market volatility. Lower volatility is associated with greed, as investors are less fearful of large market swings. Each component is normalized using a z-score over a 252-day lookback period (approximately one trading year) and scaled to a range of 0 to 100. The final Fear and Greed Index is a weighted average of these four components, with the weights specified above.Key FeaturesIndex Range: The index value ranges from 0 to 100: 0–25: Extreme Fear (red) 25–50: Fear (orange) 50–75: Neutral (yellow) 75–100: Greed (green) Dynamic Plot Color: The plot line changes color based on the index value, visually indicating the current sentiment zone. Reference Lines: Horizontal lines are plotted at 0, 25, 50, 75, and 100 to represent the different sentiment levels: Extreme Fear, Fear, Neutral, Greed, and Extreme Greed. How to Interpret Low Values (0–25): Indicate extreme fear, which may suggest that the market is oversold and could be due for a rebound. High Values (75–100): Indicate greed, which may signal that the market is overbought and could be at risk of a correction. Neutral Range (25–75): Suggests a balanced market sentiment, neither overly fearful nor greedy. This indicator is a valuable tool for contrarian investors, as extreme readings often precede market reversals. However, it should be used in conjunction with other technical and fundamental analysis tools for a well-rounded view of the market.
Penunjuk Pine Script®
oleh dunesisland
CME Crude Oil 15-Min Multi-Unified Entry Zones (Dot Signals)//@version=6 indicator("CME Crude Oil 15-Min Multi-Unified Entry Zones (Dot Signals)", overlay=true) // --- Input Parameters --- emaLength = input.int(11, title="EMA Length", minval=1) // Ichimoku Cloud Inputs (Adjusted for higher sensitivity) conversionLineLength = input.int(7, title="Ichimoku Conversion Line Length (Sensitive)", minval=1) baseLineLength = input.int(20, title="Ichimoku Base Line Length (Sensitive)", minval=1) laggingSpanLength = input.int(40, title="Ichimoku Lagging Span Length (Sensitive)", minval=1) displacement = input.int(26, title="Ichimoku Displacement", minval=1) // MACD Inputs (Adjusted for higher sensitivity) fastLength = input.int(9, title="MACD Fast Length (Sensitive)", minval=1) slowLength = input.int(21, title="MACD Slow Length (Sensitive)", minval=1) signalLength = input.int(6, title="MACD Signal Length (Sensitive)", minval=1) // RSI Inputs rsiLength = input.int(8, title="RSI Length", minval=1) rsiOverbought = input.int(70, title="RSI Overbought Level", minval=50, maxval=90) rsiOversold = input.int(30, title="RSI Oversold Level", minval=10, maxval=50) // ADX Inputs adxLength = input.int(14, title="ADX Length", minval=1) adxTrendStrengthThreshold = input.int(20, title="ADX Trend Strength Threshold", minval=10, maxval=50) // Weak Entry Threshold (50 ticks for Crude Oil, where 1 tick = $0.01) // 50 ticks = $0.50 weakEntryTickThreshold = input.float(0.50, title="Weak Entry Threshold (in $)", minval=0.01) // --- Indicator Calculations --- // 1. EMA 11 ema11 = ta.ema(close, emaLength) // 2. Ichimoku Cloud donchian(len) => math.avg(ta.lowest(len), ta.highest(len)) tenkanSen = donchian(conversionLineLength) kijunSen = donchian(baseLineLength) senkouSpanA = math.avg(tenkanSen, kijunSen) senkouSpanB = donchian(laggingSpanLength) // Shifted for plotting (future projection) senkouSpanA_plot = senkouSpanA senkouSpanB_plot = senkouSpanB // Chikou Span (lagging span, plotted 26 periods back) chikouSpan = close // 3. MACD = ta.macd(close, fastLength, slowLength, signalLength) // 4. RSI rsi = ta.rsi(close, rsiLength) // 5. ADX = ta.dmi(adxLength, adxLength) // --- Price Volume Pattern Logic --- // Simplified volume confirmation: isVolumeIncreasing = volume > volume isVolumeDecreasing = volume < volume isPriceUp = close > close isPriceDown = close < close bullishVolumeConfirmation = (isPriceUp and isVolumeIncreasing) or (isPriceDown and isVolumeDecreasing) bearishVolumeConfirmation = (isPriceDown and isVolumeIncreasing) or (isPriceUp and isVolumeDecreasing) // --- Daily Pivot Point Calculation (Critical Support/Resistance) --- // Request daily High, Low, Close for pivot calculation = request.security(syminfo.tickerid, "D", [high , low , close ]) // Classic Pivot Point Formula dailyPP = (dailyHigh + dailyLow + dailyClose) / 3 dailyR1 = (2 * dailyPP) - dailyLow dailyS1 = (2 * dailyPP) - dailyHigh dailyR2 = dailyPP + (dailyHigh - dailyLow) dailyS2 = dailyPP - (dailyHigh - dailyLow) // --- Crosses and States for Unified Entry 1 (EMA & MACD) --- // Moved ta.cross() calls outside of conditional blocks for consistent calculation. emaGoldenCrossCondition = ta.cross(close, ema11) emaDeathCrossCondition = ta.cross(ema11, close) macdGoldenCrossCondition = ta.cross(macdLine, signalLine) macdDeathCrossCondition = ta.cross(signalLine, macdLine) emaIsBullish = close > ema11 emaIsBearish = close < ema11 macdIsBullishStrong = macdLine > signalLine and macdLine > 0 macdIsBearishStrong = macdLine < signalLine and macdLine < 0 // --- Unified Entry 1 Logic (EMA & MACD) --- unifiedLongEntry1 = false unifiedShortEntry1 = false if (emaGoldenCrossCondition and macdIsBullishStrong ) unifiedLongEntry1 := true else if (macdGoldenCrossCondition and emaIsBullish ) unifiedLongEntry1 := true if (emaDeathCrossCondition and macdIsBearishStrong ) unifiedShortEntry1 := true else if (macdDeathCrossCondition and emaIsBearish ) unifiedShortEntry1 := true // --- Unified Entry 2 Logic (Ichimoku & EMA/Volume) --- unifiedLongEntry2 = false unifiedShortEntry2 = false ichimokuCloudBullish = close > senkouSpanA_plot and close > senkouSpanB_plot and senkouSpanA_plot > senkouSpanB_plot and tenkanSen > kijunSen and chikouSpan > close ichimokuCloudBearish = close < senkouSpanA_plot and close < senkouSpanB_plot and senkouSpanB_plot > senkouSpanA_plot and tenkanSen < kijunSen and chikouSpan < close // Moved ta.cross() calls outside of conditional blocks for consistent calculation. ichimokuBullishTriggerCondition = ta.cross(tenkanSen, kijunSen) ichimokuBearishTriggerCondition = ta.cross(kijunSen, tenkanSen) priceCrossAboveSenkouA = ta.cross(close, senkouSpanA_plot) priceCrossBelowSenkouA = ta.cross(senkouSpanA_plot, close) if (ichimokuBullishTriggerCondition or (priceCrossAboveSenkouA and close > senkouSpanB_plot)) and emaIsBullish and bullishVolumeConfirmation unifiedLongEntry2 := true if (ichimokuBearishTriggerCondition or (priceCrossBelowSenkouA and close < senkouSpanB_plot)) and emaIsBearish and bearishVolumeConfirmation unifiedShortEntry2 := true // --- Weak Entry Logic --- weakLongEntry = false weakShortEntry = false // Function to check for weak long entry // Checks if the distance to the nearest resistance (R1 or R2) is less than the threshold f_isWeakLongEntry(currentPrice) => bool isWeak = false // Check R1 if it's above current price and within threshold if dailyR1 > currentPrice and (dailyR1 - currentPrice < weakEntryTickThreshold) isWeak := true // Check R2 if it's above current price and within threshold (only if not already weak by R1) else if dailyR2 > currentPrice and (dailyR2 - currentPrice < weakEntryTickThreshold) isWeak := true isWeak // Function to check for weak short entry // Checks if the distance to the nearest support (S1 or S2) is less than the threshold f_isWeakShortEntry(currentPrice) => bool isWeak = false // Check S1 if it's below current price and within threshold if dailyS1 < currentPrice and (currentPrice - dailyS1 < weakEntryTickThreshold) isWeak := true // Check S2 if it's below current price and within threshold (only if not already weak by S1) else if dailyS2 < currentPrice and (currentPrice - dailyS2 < weakEntryTickThreshold) isWeak := true isWeak // Apply weak entry check to Unified Entry 1 if unifiedLongEntry1 and f_isWeakLongEntry(close) weakLongEntry := true if unifiedShortEntry1 and f_isWeakShortEntry(close) weakShortEntry := true // Apply weak entry check to Unified Entry 2 if unifiedLongEntry2 and f_isWeakLongEntry(close) weakLongEntry := true if unifiedShortEntry2 and f_isWeakShortEntry(close) weakShortEntry := true // --- Enhanced Entry Conditions with RSI and ADX --- // Removed candlestick pattern requirement. // Only consider an entry if RSI is not overbought/oversold AND ADX indicates trend strength. // Enhanced Long Entry Condition enhancedLongEntry = (unifiedLongEntry1 or unifiedLongEntry2) and (rsi < rsiOverbought) and // RSI not overbought (adx > adxTrendStrengthThreshold) // ADX shows trend strength // Enhanced Short Entry Condition enhancedShortEntry = (unifiedShortEntry1 or unifiedShortEntry2) and (rsi > rsiOversold) and // RSI not oversold (adx > adxTrendStrengthThreshold) // ADX shows trend strength // --- Define colors as variables for clarity and to potentially resolve parsing issues --- // Changed named color constants to hexadecimal values var color strongBuyDotColor = #FFD700 // Gold var color weakBuyDotColor = #008000 // Green var color strongSellDotColor = #FFFFFF // White var color weakSellDotColor = #FF0000 // Red // --- Plotting Entry Dots on Candlesticks --- // Define conditions for plotting only on the *first* occurrence of a signal isNewStrongBuy = enhancedLongEntry and not weakLongEntry and not (enhancedLongEntry and not weakLongEntry ) isNewWeakBuy = enhancedLongEntry and weakLongEntry and not (enhancedLongEntry and weakLongEntry ) isNewStrongSell = enhancedShortEntry and not weakShortEntry and not (enhancedShortEntry and not weakShortEntry ) isNewWeakSell = enhancedShortEntry and weakShortEntry and not (enhancedShortEntry and weakShortEntry ) // Helper functions to check candlestick type isCurrentCandleBullish = close > open isCurrentCandleBearish = close < open // Strong Buy: Gold dot (only on bullish candles) plotshape(isNewStrongBuy and isCurrentCandleBullish ? close : na, title="Strong B", location=location.absolute, color=strongBuyDotColor, style=shape.circle, size=size.tiny) // Weak Buy: Solid Green dot (no candlestick filter for weak buys) // Changed text to "" and style to shape.triangleup for symbol only plotshape(isNewWeakBuy ? close : na, title="Weak B", location=location.absolute, color=weakBuyDotColor, style=shape.triangleup, size=size.tiny) // Strong Sell: White dot (only on bearish candles) plotshape(isNewStrongSell and isCurrentCandleBearish ? close : na, title="Strong S", location=location.absolute, color=strongSellDotColor, style=shape.circle, size=size.tiny) // Weak Sell: Red dot (no candlestick filter for weak sells) // Changed text to "" and style to shape.triangledown for symbol only plotshape(isNewWeakSell ? close : na, title="Weak S", location=location.absolute, color=weakSellDotColor, style=shape.triangledown, size=size.tiny) // --- Plotting Indicators (Optional, for visual confirmation) --- // All indicator plots have been removed as requested. // plot(ema11, title="EMA 11", color=emaColor) // plot(tenkanSen, title="Tenkan-Sen", color=tenkanColor) // plot(kijunSen, title="Kijun-Sen", color=kijunColor) // plot(senkouSpanA_plot, title="Senkou Span A", color=senkouAColor, offset=displacement) // plot(senkouSpanB_plot, title="Senkou Span B", color=senkouBColor, offset=displacement) // fill(plot(senkouSpanA_plot, offset=displacement), plot(senkouSpanB_plot, offset=displacement), color=cloudFillBullishColor, title="Cloud Fill Bullish") // fill(plot(senkouSpanA_plot, offset=displacement), plot(senkouSpanB_plot, offset=displacement), color=cloudFillBearishColor, title="Cloud Fill Bearish") // plot(chikouSpan, title="Chikou Span", color=chikouColor, offset=-displacement) // plot(macdLine, title="MACD Line", color=macdLineColor, display=display.pane) // plot(signalLine, title="Signal Line", color=signalLineColor, display=display.pane) // plot(hist, title="Histogram", color=hist >= 0 ? histGreenColor : histRedColor, style=plot.style_columns, display=display.pane) // plot(rsi, title="RSI", color=rsiPlotColor, display=display.pane) // hline(rsiOverbought, "RSI Overbought", color=rsiHlineRedColor, linestyle=hline.style_dashed, display=display.all) // hline(rsiOversold, "RSI Oversold", color=rsiHlineGreenColor, linestyle=hline.style_dashed, display=display.all) // plot(adx, title="ADX", color=adxPlotColor, display=display.pane) // hline(adxTrendStrengthThreshold, "ADX Threshold", color=adxHlineColor, linestyle=hline.style_dashed, display=display.all) // plot(diPlus, title="+DI", color=diPlusColor, display=display.pane) // plot(diMinus, title="-DI", color=diMinusColor, display=display.pane) // plot(dailyPP, title="Daily PP", color=dailyPPColor, style=plot.style_line, linewidth=1) // plot(dailyR1, title="Daily R1", color=dailyRColor, style=plot.style_line, linewidth=1) // plot(dailyR2, title="Daily R2", color=dailyRColor, style=plot.style_line, linewidth=1) // plot(dailyS1, title="Daily S1", color=dailySColor, style=plot.style_line, linewidth=1) // plot(dailyS2, title="Daily S2", color=dailySColor, style=plot.style_line, linewidth=1) // --- Alerts (Optional) --- alertcondition(enhancedLongEntry and not weakLongEntry, title="Strong Buy Alert", message="CME Crude Oil: Strong Buy Entry!") alertcondition(enhancedLongEntry and weakLongEntry, title="Weak Buy Alert", message="CME Crude Oil: Weak Buy Entry Detected!") alertcondition(enhancedShortEntry and not weakShortEntry, title="Strong Sell Alert", message="CME Crude Oil: Strong Sell Entry!") alertcondition(enhancedShortEntry and weakShortEntry, title="Weak Sell Alert", message="CME Crude Oil: Weak Sell Entry Detected!")
Penunjuk Pine Script®
oleh kylow1987
WT-FLOW: MTF WaveTrend Trend-Follower📘 Strategy Introduction: WT-FLOW (WaveTrend Trend-Follower) WT-FLOW is a multi-timeframe trend-following strategy specifically **optimized for the 15-minute timeframe** on the BTC/USDT trading pair. It is designed to help professional users follow buy/sell trends with high precision. The strategy utilizes a three-tiered time alignment: - **240min WaveTrend**: Macro trend filter (determines high-timeframe direction) - **30min WaveTrend**: Momentum confirmation (validates trend continuation) - **15min WaveTrend**: Signal generation (entries and exits are executed here) It features an advanced **Trailing Stop** mechanism that includes maximum gain-based tracking logic and percentage-based fallback tolerance. Entry and exit points are marked on the chart with colored labels (🟢🔴❅❄), including bar index information. ⚙️ Technical Features: - Compatible with Pine Script v5 - Backtestable via the `strategy()` block - Supports both Long and Short position tracking - Trailing Stop and Marginal Stop systems work in tandem ⚠️ Disclaimer: This strategy is based on historical data. It should not be used in live markets without manual confirmation and appropriate risk management. Use is at your own risk.
Strategi Pine Script®
oleh ALCIVOOO
Price x Vol RSIAn enhanced RSI indicator that integrates the RSI of volume as a conviction amplifier. This script modifies the RSI to range from −1 to +1, allowing it to express directional momentum. Volume RSI remains in the range of 0 to +1, serving as a direction-neutral amplifier. The result is a bi-directional composite RSI that: >> Emphasizes congruent signals (e.g., strong price direction with strong volume). >> Minimizes misleading signals from high volume paired with neutral or conflicting price movement. Ideal for identifying high-conviction breakouts and momentum divergences with volume support. the plot fill increases in color when the plot approaches zero, then reverses away from zero, and resets on a zero-cross. check out my other script, the PXVS, which is what this RSI script was based on. it uses similar logic as this script, but with FSTO %K instead of RSI
Penunjuk Pine Script®
oleh Shaeroden