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Heiken Ashi Candles - CustomizableHeiken Ashi Candles – Customizable Overlay This TradingView indicator displays accurate Heiken Ashi candles directly on your price chart, perfectly synced with TradingView’s built-in Heiken Ashi source. It’s ideal for traders who want to backtest or analyze Heiken Ashi structure without switching chart types. The indicator also includes full customization of candle body and wick colors for both bullish and bearish candles—perfect for tailoring your chart visuals to your preferences.
Penunjuk Pine Script®
oleh freeburn
Greer Book Value Yield📘 Script Title Greer Book Value Yield – Valuation Insight Based on Balance Sheet Strength 🧾 Description Greer Book Value Yield is a valuation-focused indicator in the Greer Financial Toolkit, designed to evaluate how much net asset value (book value) a company provides per share relative to its current market price. This script calculates the Book Value Per Share Yield (BV%) using the formula: Book Value Yield (%) = Book Value Per Share ÷ Stock Price × 100 This yield helps investors assess whether a stock is trading at a discount or premium to its underlying assets. It dynamically highlights when the yield is: 🟢 Above its historical average (potentially undervalued) 🔴 Below its historical average (potentially overvalued) 🔍 Use Case Analyze valuation through asset-based metrics Identify buy opportunities when book value yield is historically high Combine with other scripts in the Greer Financial Toolkit: 📘 Greer Value – Tracks year-over-year growth consistency across six key metrics 📊 Greer Value Yields Dashboard – Visualizes multiple valuation-based yields 🟢 Greer BuyZone – Highlights long-term technical buy zones 🛠️ Inputs & Data Uses Book Value Per Share (BVPS) from TradingView’s financial database (Fiscal Year) Calculates and compares against a static average yield to assess historical valuation Clean visual feedback via dynamic coloring and overlays ⚠️ Disclaimer This tool is for educational and informational purposes only and should not be considered financial advice. Always conduct your own research before making investment decisions.
Penunjuk Pine Script®
oleh controllinghand
AV BTC Top Cap ModelThe Bitcoin Top Cap Developed by Willy Woo to identify market cycle tops. Top Cap is calculated by multiplying the Average Cap by 35. Average cap is calculated by taking the cumulative sum of daily market cap divided by the age of market in days. Additional Top Cap using 15x multiplier is included to show sensitivity and to gauge the effect of diminishing returns. For the use on BTC Market Cap Chart : No changes necessary. Switching to logarithmic scale in recommended. For the use on BTC Price Chart : After adding the indicator, enable Convert to price setting. Customization of multipliers is enabled in the settings. Data sources used: GLASSNODE:BTC_MARKETCAP and GLASSNODE:BTC_SUPPLY (for price conversion) Note: Use with caution. I coded this for learning. This model might be past it's usefulness date. I am also seeing single digit % difference between this indicator values and top cap indicators available online.
Penunjuk Pine Script®
oleh avflow
Low Price RSI CrossoverThis Pine Script indicator is a Multi-Timeframe Low RSI Crossover system that combines three key filtering criteria to identify high-probability buy signals. Here's what it does: Core Concept The indicator only generates buy signals when all three conditions are met simultaneously: Price at Multi-Period Low: Current price must be at or near the lowest point within your selected timeframe (1 week to 5 years, or custom) RSI Momentum Shift: The smoothed RSI must cross above its signal line (EMA), indicating upward momentum Below Threshold Entry: Both the RSI and its signal line must be below your threshold level (default 50) when the crossover occurs Key Features RSI Smoothing: Uses Hull Moving Average (HMA) to smooth the raw RSI, reducing noise and false signals while maintaining responsiveness. Flexible Timeframes: Choose from predefined periods (1W, 2W, 3W, 1M, 2M, 3M, 6M, 9M, 1Y, 2Y, 3Y, 5Y) or set a custom number of bars. Visual Feedback: Plots the smoothed RSI (blue line) and its signal line (red line) Shows threshold and overbought levels Highlights signal bars with green background Displays tiny green triangles at signal points Real-time status table showing all conditions Trading Logic This is essentially a mean-reversion strategy that waits for: Price to reach significant lows (value zone) Momentum to start shifting upward (RSI crossover) Entry from oversold/neutral territory (below 50 RSI) Why This Works By requiring price to be at multi-period lows, you avoid buying during downtrends or sideways chop. The RSI crossover confirms that selling pressure is starting to ease, while the threshold filter ensures you're not buying into overbought conditions. The combination of these filters should significantly reduce false signals compared to using any single indicator alone.
Penunjuk Pine Script®
oleh parkerberlinger
Greer EPS Yield📘 Script Title Greer EPS Yield – Valuation Insight Based on Earnings Productivity 🧾 Description Greer EPS Yield is a valuation-focused indicator from the Greer Financial Toolkit, designed to evaluate how efficiently a company generates earnings relative to its current stock price. This script calculates the Earnings Per Share Yield (EPS%), using the formula: EPS Yield (%) = Earnings Per Share ÷ Stock Price × 100 This yield metric provides a quick snapshot of valuation through the lens of profitability per share. It dynamically highlights when the EPS yield is: 🟢 Above its historical average (potentially undervalued) 🔴 Below its historical average (potentially overvalued) 🔍 Use Case Quickly assess valuation attractiveness based on earnings yield. Identify potential buy opportunities when EPS% is above its long-term average. Combine with other indicators in the Greer Financial Toolkit for a fundamentals-driven investment strategy: 📘 Greer Value – Tracks year-over-year growth consistency across six key metrics 📊 Greer Value Yields Dashboard – Visualizes valuation-based yield metrics 🟢 Greer BuyZone – Highlights long-term technical buy zones 🛠️ Inputs & Data Uses fiscal year EPS data from TradingView’s built-in financial database. Tracks a static average EPS Yield to compare current valuation to historical norms. Clean, intuitive visual with automatic color coding. ⚠️ Disclaimer This tool is for educational and informational purposes only and should not be considered financial advice. Always conduct your own research before making investment decisions.
Penunjuk Pine Script®
oleh controllinghand
3Commas DCA Long Short3Commas DCA Long/Short Manager – SuperTrend-Powered This script turns TradingView SuperTrend signals into fully-automated 3Commas actions. On each confirmed bar-close trend flip it: • Starts the chosen Long or Short DCA bot • Closes & stops the opposite bot to keep only one side running Key features • SuperTrend core – ATR Length & Factor are user-tunable • Dual-bot control – independent IDs for Long and Short bots, each can be toggled on/off • Safety first – ignores the very first bar to avoid repaint artefacts • Email/webhook ready – alerts output compact JSON compatible with 3Commas; optional delay seconds parameter included • One-click deployment – drop on any chart, set an “Any alert() function call” alert, paste your 3Commas email address / webhook, and trade hands-free. Back-test thoroughly and use paper trading before going live. Happy automating!
Penunjuk Pine Script®
oleh H_Murdock
3.RSI LIJO 45*55//@version=6 indicator(title="3.RSI LIJO 45*55", shorttitle="RSI-LIJO-45-55", format=format.price, precision=2, timeframe="", timeframe_gaps=true) rsiLengthInput = input.int(9, minval=1, title="RSI Length", group="RSI Settings") rsiSourceInput = input.source(close, "Source", group="RSI Settings") calculateDivergence = input.bool(false, title="Calculate Divergence", group="RSI Settings", display=display.data_window, tooltip="Calculating divergences is needed in order for divergence alerts to fire.") change = ta.change(rsiSourceInput) up = ta.rma(math.max(change, 0), rsiLengthInput) down = ta.rma(-math.min(change, 0), rsiLengthInput) rsi = down == 0 ? 100 : up == 0 ? 0 : 100 - (100 / (1 + up / down)) // Change RSI line color based on bands rsiColor = rsi > 50 ? color.green : rsi < 50 ? color.red : color.white rsiPlot = plot(rsi, "RSI", color=rsiColor) rsiUpperBand = hline(55, "RSI Upper Band", color=color.rgb(5, 247, 22)) midline = hline(50, "RSI Middle Band", color=color.new(#787B86, 50)) rsiLowerBand = hline(45, "RSI Lower Band", color=color.rgb(225, 18, 14)) fill(rsiUpperBand, rsiLowerBand, color=color.rgb(126, 87, 194, 90), title="RSI Background Fill") midLinePlot = plot(50, color=na, editable=false, display=display.none) fill(rsiPlot, midLinePlot, 100, 55, top_color=color.new(color.green, 0), bottom_color=color.new(color.green, 100), title="Overbought Gradient Fill") fill(rsiPlot, midLinePlot, 45, 0, top_color=color.new(color.red, 100), bottom_color=color.new(color.red, 0), title="Oversold Gradient Fill") // Smoothing MA inputs GRP = "Smoothing" TT_BB = "Only applies when 'SMA + Bollinger Bands' is selected. Determines the distance between the SMA and the bands." maTypeInput = input.string("SMA", "Type", options= , group=GRP, display=display.data_window) maLengthInput = input.int(31, "Length", group=GRP, display=display.data_window) bbMultInput = input.float(2.0, "BB StdDev", minval=0.001, maxval=50, step=0.5, tooltip=TT_BB, group=GRP, display=display.data_window) var enableMA = maTypeInput != "None" var isBB = maTypeInput == "SMA + Bollinger Bands" // Smoothing MA Calculation ma(source, length, MAtype) => switch MAtype "SMA" => ta.sma(source, length) "SMA + Bollinger Bands" => ta.sma(source, length) "EMA" => ta.ema(source, length) "SMMA (RMA)" => ta.rma(source, length) "WMA" => ta.wma(source, length) "VWMA" => ta.vwma(source, length) // Smoothing MA plots smoothingMA = enableMA ? ma(rsi, maLengthInput, maTypeInput) : na smoothingStDev = isBB ? ta.stdev(rsi, maLengthInput) * bbMultInput : na plot(smoothingMA, "RSI-based MA", color=color.yellow, display=enableMA ? display.all : display.none, editable=enableMA) bbUpperBand = plot(smoothingMA + smoothingStDev, title="Upper Bollinger Band", color=color.green, display=isBB ? display.all : display.none, editable=isBB) bbLowerBand = plot(smoothingMA - smoothingStDev, title="Lower Bollinger Band", color=color.green, display=isBB ? display.all : display.none, editable=isBB) fill(bbUpperBand, bbLowerBand, color=isBB ? color.new(color.green, 90) : na, title="Bollinger Bands Background Fill", display=isBB ? display.all : display.none, editable=isBB) // Divergence lookbackRight = 5 lookbackLeft = 5 rangeUpper = 60 rangeLower = 5 bearColor = color.red bullColor = color.green textColor = color.white noneColor = color.new(color.white, 100) _inRange(bool cond) => bars = ta.barssince(cond) rangeLower <= bars and bars <= rangeUpper plFound = false phFound = false bullCond = false bearCond = false rsiLBR = rsi if calculateDivergence //------------------------------------------------------------------------------ // Regular Bullish // rsi: Higher Low plFound := not na(ta.pivotlow(rsi, lookbackLeft, lookbackRight)) rsiHL = rsiLBR > ta.valuewhen(plFound, rsiLBR, 1) and _inRange(plFound ) // Price: Lower Low lowLBR = low priceLL = lowLBR < ta.valuewhen(plFound, lowLBR, 1) bullCond := priceLL and rsiHL and plFound //------------------------------------------------------------------------------ // Regular Bearish // rsi: Lower High phFound := not na(ta.pivothigh(rsi, lookbackLeft, lookbackRight)) rsiLH = rsiLBR < ta.valuewhen(phFound, rsiLBR, 1) and _inRange(phFound ) // Price: Higher High highLBR = high priceHH = highLBR > ta.valuewhen(phFound, highLBR, 1) bearCond := priceHH and rsiLH and phFound plot( plFound ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bullish", linewidth = 2, color = (bullCond ? bullColor : noneColor), display = display.pane, editable = calculateDivergence) plotshape( bullCond ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bullish Label", text = " Bull ", style = shape.labelup, location = location.absolute, color = bullColor, textcolor = textColor, display = display.pane, editable = calculateDivergence) plot( phFound ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bearish", linewidth = 2, color = (bearCond ? bearColor : noneColor), display = display.pane, editable = calculateDivergence) plotshape( bearCond ? rsiLBR : na, offset = -lookbackRight, title = "Regular Bearish Label", text = " Bear ", style = shape.labeldown, location = location.absolute, color = bearColor, textcolor = textColor, display = display.pane, editable = calculateDivergence) alertcondition(bullCond, title='Regular Bullish Divergence', message="Found a new Regular Bullish Divergence, Pivot Lookback Right number of bars to the left of the current bar.") alertcondition(bearCond, title='Regular Bearish Divergence', message='Found a new Regular Bearish Divergence, Pivot Lookback Right number of bars to the left of the current bar.')
Penunjuk Pine Script®
oleh ibrahimkuttykk
My script//@version=5 indicator("MA + OI + Volume Breakout", overlay=true) // === MA Parameters === ma_type = input.string("EMA", title="MA Type", options= ) ma(src, len, type) => type == "SMA" ? ta.sma(src, len) : type == "EMA" ? ta.ema(src, len) : ta.wma(src, len) ma5 = ma(close, 5, ma_type) ma21 = ma(close, 21, ma_type) ma50 = ma(close, 50, ma_type) ma100 = ma(close, 100, ma_type) plot(ma5, "5-day MA", color=color.yellow, linewidth=2) plot(ma21, "21-day MA", color=color.orange, linewidth=2) plot(ma50, "50-day MA", color=color.fuchsia, linewidth=2) plot(ma100, "100-day MA", color=color.blue, linewidth=2) // === Trend Signal === bullish_trend = ma5 > ma21 and ma21 > ma50 and ma50 > ma100 bearish_trend = ma5 < ma21 and ma21 < ma50 and ma50 < ma100 bgcolor(bullish_trend ? color.new(color.green, 85) : bearish_trend ? color.new(color.red, 85) : na) // === Volume Breakout === vol_avg = ta.sma(volume, 20) vol_breakout = volume > 1.5 * vol_avg plotshape(vol_breakout, title="Volume Breakout", location=location.belowbar, style=shape.circle, color=color.aqua, size=size.tiny) // === Open Interest Overlay (assumes OI data via external input or future integration) === // Placeholder: simulate OI input (replace with `request.security(syminfo.tickerid, ..., ...)` if available) oi = input.float(na, title="Open Interest (external feed)") oi_avg = ta.sma(oi, 20) oi_breakout = oi > 1.2 * oi_avg plotshape(not na(oi) and oi_breakout, title="OI Spike", location=location.belowbar, style=shape.diamond, color=color.purple, size=size.tiny) plot(oi, title="Open Interest", color=color.gray, display=display.none) // Optional: hidden line for alerts // === Composite Signal === strong_long = bullish_trend and vol_breakout and oi_breakout plotshape(strong_long, title="Strong Long Signal", location=location.belowbar, style=shape.labelup, text="LONG", size=size.small, color=color.lime) // === Screener Logic === // Use `strong_long` as your filter condition in a screener or dashboard output
Penunjuk Pine Script®
oleh nikhilkapadia
Advanced Currency Strength Meter# Advanced Currency Strength Meter (ACSM) The Advanced Currency Strength Meter (ACSM) is a scientifically-based indicator that measures relative currency strength using established academic methodologies from international finance and behavioral economics. This indicator provides traders with a comprehensive view of currency market dynamics through multiple analytical frameworks. ### Theoretical Foundation #### 1. Purchasing Power Parity (PPP) Theory Based on Cassel's (1918) seminal work and refined by Froot & Rogoff (1995), PPP suggests that exchange rates should reflect relative price levels between countries. The ACSM momentum component captures deviations from long-term equilibrium relationships, providing insights into currency misalignments. #### 2. Uncovered Interest Rate Parity (UIP) and Carry Trade Theory Building on Fama (1984) and Lustig et al. (2007), the indicator incorporates volatility-adjusted momentum to capture carry trade flows and interest rate differentials that drive currency strength. This approach helps identify currencies benefiting from interest rate differentials. #### 3. Behavioral Finance and Currency Momentum Following Burnside et al. (2011) and Menkhoff et al. (2012), the model recognizes that currency markets exhibit persistent momentum effects due to behavioral biases and institutional flows. The indicator captures these momentum patterns for trading opportunities. #### 4. Portfolio Balance Theory Based on Branson & Henderson (1985), the relative strength matrix captures how portfolio rebalancing affects currency cross-rates and creates trading opportunities between different currency pairs. ### Technical Implementation #### Core Methodologies: - **Z-Score Normalization**: Following Sharpe (1994), provides statistical significance testing without arbitrary scaling - **Momentum Analysis**: Uses return-based metrics (Jegadeesh & Titman, 1993) for trend identification - **Volatility Adjustment**: Implements Average True Range methodology (Wilder, 1978) for risk-adjusted strength - **Composite Scoring**: Equal-weight methodology to avoid overfitting and maintain robustness - **Correlation Analysis**: Risk management framework based on Markowitz (1952) portfolio theory #### Key Features: - **Multi-Source Data Integration**: Supports OANDA, Futures, and CFD data sources - **Scientific Methodology**: No arbitrary scaling or curve-fitting; all calculations based on established statistical methods - **Comprehensive Dashboard**: Clean, professional table showing currency strengths and best trading pairs - **Alert System**: Automated notifications for strong/weak currency conditions and extreme values - **Best Pair Identification**: Algorithmic detection of highest-potential trading opportunities ### Practical Applications #### For Swing Traders: - Identify currencies in strong uptrends or downtrends - Select optimal currency pairs based on relative strength divergence - Time entries based on momentum convergence/divergence #### For Day Traders: - Use with real-time futures data for intraday opportunities - Monitor currency correlations for risk management - Detect early reversal signals through extreme value alerts #### For Portfolio Managers: - Multi-currency exposure analysis - Risk management through correlation monitoring - Strategic currency allocation decisions ### Visual Design The indicator features a clean, professional dashboard that displays: - **Currency Strength Values**: Each major currency (EUR, GBP, JPY, CHF, AUD, CAD, NZD, USD) with color-coded strength values - **Best Trading Pairs**: Filtered list of highest-potential currency pairs with BUY/SELL signals - **Market Analysis**: Real-time identification of strongest and weakest currencies - **Potential Score**: Quantitative measure of trading opportunity strength ### Data Sources and Latency The indicator supports multiple data sources to accommodate different trading needs: - **OANDA (Delayed)**: Free data with 15-20 minute delay, suitable for swing trading - **Futures (Real-time)**: CME currency futures for real-time analysis - **CFDs**: Alternative real-time data source option ### Mathematical Framework #### Strength Calculation: Momentum = (Price - Price ) / Price * 100 Z-Score = (Price - Mean) / Standard Deviation Volatility-Adjusted = Momentum / ATR-based Volatility Composite = 0.5 * Momentum + 0.3 * Z-Score + 0.2 * Volatility-Adjusted #### USD Strength Derivation: USD strength is calculated as the weighted average of all USD-based pairs, providing a true baseline for relative strength comparison. ### Performance Considerations The indicator is optimized for: - **Computational Efficiency**: Uses Pine Script v6 best practices - **Memory Management**: Appropriate lookback periods and array handling - **Visual Clarity**: Clean table design optimized for both light and dark themes - **Alert Reliability**: Robust signal generation with statistical significance testing ### Limitations and Risk Disclosure - Model performance may vary during extreme market stress (Black Swan events) - Requires stable data feeds for accurate calculations - Not optimized for high-frequency scalping strategies - Central bank interventions may temporarily distort signals - Performance assumes normal market conditions with behavioral adjustments ### Academic References - Branson, W. H., & Henderson, D. W. (1985). "The Specification and Influence of Asset Markets" - Burnside, C., Eichenbaum, M., & Rebelo, S. (2011). "Carry Trade and Momentum in Currency Markets" - Cassel, G. (1918). "Abnormal Deviations in International Exchanges" - Fama, E. F. (1984). "Forward and Spot Exchange Rates" - Froot, K. A., & Rogoff, K. (1995). "Perspectives on PPP and Long-Run Real Exchange Rates" - Jegadeesh, N., & Titman, S. (1993). "Returns to Buying Winners and Selling Losers" - Lustig, H., Roussanov, N., & Verdelhan, A. (2007). "Common Risk Factors in Currency Markets" - Markowitz, H. (1952). "Portfolio Selection" - Menkhoff, L., Sarno, L., Schmeling, M., & Schrimpf, A. (2012). "Carry Trades and Global FX Volatility" - Sharpe, W. F. (1994). "The Sharpe Ratio" - Wilder, J. W. (1978). "New Concepts in Technical Trading Systems" ### Usage Instructions 1. **Setup**: Add the indicator to your chart and select your preferred data source 2. **Currency Selection**: Choose which currencies to analyze (default: all major currencies) 3. **Methodology**: Select calculation method (Composite recommended for most users) 4. **Monitoring**: Watch the dashboard for strength changes and best pair opportunities 5. **Alerts**: Set up notifications for strong/weak currency conditions
Penunjuk Pine Script®
oleh EdgeTools
Zonas de Soporte EURUSD Multi-Timeframe//@version=5 indicator("Zonas de Soporte EURUSD Multi-Timeframe", overlay=true) // Configuraciones lookback = input.int(200, "Velas a analizar", minval=50) tolerance = input.float(0.5, "Tolerancia %", minval=0.1) touchesMin = input.int(3, "Toques mínimos para validar soporte", minval=2) // Función para encontrar zonas de soporte f_findSupportZones(_low, _label) => var float zones = na var int found = 0 for i = 0 to lookback - 1 float base = _low int touches = 0 for j = i + 1 to lookback - 1 if math.abs(_low - base) <= base * (tolerance / 100) touches := touches + 1 if touches >= touchesMin label.new(bar_index , base, text="Zona " + _label + " " + str.tostring(base, format.mintick), style=label.style_label_up, color=color.green, textcolor=color.white, size=size.small) found := found + 1 found // Múltiples temporalidades low_h1 = request.security("EURUSD", "60", low) low_h4 = request.security("EURUSD", "240", low) low_d1 = request.security("EURUSD", "D", low) low_w1 = request.security("EURUSD", "W", low) low_mn1 = request.security("EURUSD", "M", low) // Llamadas a la función zonesH1 = f_findSupportZones(low_h1, "H1") zonesH4 = f_findSupportZones(low_h4, "H4") zonesD1 = f_findSupportZones(low_d1, "D1") zonesW1 = f_findSupportZones(low_w1, "W1") zonesMN1 = f_findSupportZones(low_mn1, "MN1") // Reporte if bar_index % 50 == 0 label.new(bar_index, high, text="Reporte Zonas Soporte H1: "+str.tostring(zonesH1)+" H4: "+str.tostring(zonesH4)+" D1: "+str.tostring(zonesD1)+" W1: "+str.tostring(zonesW1)+" MN1: "+str.tostring(zonesMN1), style=label.style_label_down, yloc=yloc.abovebar, size=size.normal, textcolor=color.black, color=color.new(color.white, 80))
Penunjuk Pine Script®
oleh Escalando
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
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
ATR Trailing Stop (Seemple)The ATR Trailing Stop (Seemple) is a clean and intuitive trend following indicator that helps traders visualise dynamic stop levels based on market volatility. 1. How it works: Uses the Average True Range (ATR) to calculate trailing stop levels. The stop dynamically adjusts with price movement: Rises in an uptrend to lock in gains. Falls in a downtrend to protect against reversals. Incorporates a flip condition that identifies potential trend shifts when price crosses above or below the stop level. 2. Customisable Inputs: ATR Period : Defines the sensitivity of the volatility calculation. ATR Multiple : Sets how tight or wide the stop should be based on ATR. 3. Application: Ideal for trend-following strategies, trailing stop placement, and visual guidance for exit signals.
Penunjuk Pine Script®
oleh Brandon_Leu