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אינדיקטורים ואסטרטגיות

Pair Cointegration & Static Beta Analyzer (v6)Pair Cointegration & Static Beta Analyzer (v6) This indicator evaluates whether two instruments exhibit statistical properties consistent with cointegration and tradable mean reversion. It uses long-term beta estimation, spread standardization, AR(1) dynamics, drift stability, tail distribution analysis, and a multi-factor scoring model. 1. Static Beta and Spread Construction A long-horizon static beta is estimated using covariance and variance of log-returns. This beta does not update on every bar and is used throughout the entire model. Beta = Cov(r1, r2) / Var(r2) Spread = PriceA - Beta * PriceB This “frozen” beta provides structural stability and avoids rolling noise in spread construction. 2. Correlation Check Log-price correlation ensures the instruments move together over time. Correlation ≥ 0.85 is required before deeper cointegration diagnostics are considered meaningful. 3. Z-Score Normalization and Distribution Behavior The spread is standardized: Z = (Spread - MA(Spread)) / Std(Spread) The following statistical properties are examined: Z-Mean: Should be close to zero in a stationary process Z-Variance: Measures amplitude of deviations Tail Probability: Frequency of |Z| being larger than a threshold (e.g. 2) These metrics reveal whether the spread behaves like a mean-reverting equilibrium. 4. Mean Drift Stability A rolling mean of the spread is examined. If the rolling mean drifts excessively, the spread may not represent a stable long-term equilibrium. A normalized drift ratio is used: Mean Drift Ratio = Range( RollingMean(Spread) ) / Std(Spread) Low drift indicates stable long-run equilibrium behavior. 5. AR(1) Dynamics and Half-Life An AR(1) model approximates mean reversion: Spread(t) = Phi * Spread(t-1) + error Mean reversion requires: 0 < Phi < 1 Half-life of reversion: Half-life = -ln(2) / ln(Phi) Valid half-life for 10-minute bars typically falls between 3 and 80 bars. 6. Composite Scoring Model (0–100) A multi-factor weighted scoring system is applied: Component Score Correlation 0–20 Z-Mean 0–15 Z-Variance 0–10 Tail Probability 0–10 Mean Drift 0–15 AR(1) Phi 0–15 Half-Life 0–15 Score interpretation: 70–100: Strong Cointegration Quality 40–70: Moderate 0–40: Weak A pair is classified as cointegrated when: Total Score ≥ Threshold (default = 70) 7. Main Cointegration Panel Displays: Static beta Log-price correlation Z-Mean, Z-Variance, Tail Probability Drift Ratio AR(1) Phi and Half-life Composite score Overall cointegration assessment 8. Beta Hedge Position Sizing (Average-Price Based) To provide a more stable hedge ratio, hedge sizing is computed using average prices, not instantaneous prices: AvgPriceA = SMA(PriceA, N) AvgPriceB = SMA(PriceB, N) Required B per 1 A = Beta * (AvgPriceA / AvgPriceB) Using averaged prices results in a smoother, more reliable hedge ratio, reducing noise from bar-to-bar volatility. The panel displays: Required B security for 1 A security (average) This represents the beta-neutral quantity of B required to hedge one unit of A. Overview of Classical Stationarity & Cointegration Methods The principal econometric tools commonly used in assessing stationarity and cointegration include: Augmented Dickey–Fuller (ADF) Test Phillips–Perron (PP) Test KPSS Test Engle–Granger Cointegration Test Phillips–Ouliaris Cointegration Test Johansen Cointegration Test Since these procedures rely on regression residuals, matrix operations, and distribution-based critical values that are not supported in TradingView Pine Script, a practical multi-criteria scoring approach is employed instead. This framework leverages metrics that are fully computable in Pine and offers an operational proxy for evaluating cointegration-like behavior under platform constraints. References Engle & Granger (1987), Co-integration and Error Correction Poterba & Summers (1988), Mean Reversion in Stock Prices Vidyamurthy (2004), Pairs Trading Explanation structured with assistance from OpenAI’s ChatGPT Regards.
אינדיקטור Pine Script®
מאת ‎Noldo‎
PyraTime™ Lite PyraTime™ Lite Indicator: Precision Time Analysis for Day Trading The PyraTime™ Lite indicator is a free, high-utility Pine Script tool designed to introduce day traders to the power of time and frequency analysis, specifically on high-velocity charts. Built around a unique Great Pyramid/Sacred Sequence pivot methodology, PyraTime™ Lite helps you visualize key temporal harmonics projected from a user-defined Origin Pivot (Golden Anchor). This allows for superior chart context and timing analysis. 📈 Key Features and Benefits (Lite Version) This free version is explicitly configured for the most popular and volatile day-trading timeframes, helping you target short-term moves with precision: ⚡️ Focus on High-Activity Timeframes: The indicator is unlocked and optimized exclusively for the 15-minute and 1-hour charts. This focus ensures clean, relevant data for intra-day and swing trading strategies. 🎯 Identify Precise "Kill Zones": By mapping vertical time bands (up to 22 segments of the sacred sequence) across the chart, PyraTime™ Lite helps you identify high-probability Kill Zones—areas in time where market turning points or reversals are statistically more likely. 🕰️ Time the Market with Precision: Instead of relying solely on price, this indicator gives you a temporal edge, allowing you to anticipate market changes based on the recurring, cyclical nature of time itself. 📚 Educational Foundation: Experience the core functionality of advanced time-based analysis without any cost or obligation, offering a clear path to understanding cyclical trading methodologies. 👑 Unlock the Full Power: PyraTime™ Master The PyraTime™ Lite is a powerful teaser, but it only scratches the surface of this proprietary system. Upgrade to the PyraTime™ Master indicator for complete, unrestricted access to the full power of the PyraTime methodology: 🔓 All Timeframes Unlocked: Gain access to all Standard and Esoteric Timeframes (including 4m, 7m, 11m, 22m, 44m, Daily, and Weekly), essential for multi-timeframe confirmation and deeper analysis. 🌌 Full Sacred Sequence: Unlock the complete 108-line Sacred Sequence, providing full temporal projection into the future for long-term swing trading planning and macro cycle forecasting. 🎨 Full Customization: Unlock all settings, allowing you to fully customize colors, line styles, and all other input parameters. Ready to master market timing? Get PyraTime™ Master Lifetime Access Here: whop.com
אינדיקטור Pine Script®
מאת ‎PyraTime‎
1
ICT Macro Slot Algo Event📊 Overview A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions. 🎯 Key Features 1. Macro Algo Event Sessions Tracks 6 key institutional time windows during NY Session: NY Sweep (08:50-09:10) - Opening balance flows Silver Bullet #1 (09:50-10:10) - First major macro move Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity Lunch Macro (11:50-12:10) - Mid-day repositioning Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments NY Closing Macros (15:15-15:45) - End-of-day flows
אינדיקטור Pine Script®
מאת ‎viveksadokj1uli‎
Etwas31 Precision zones and trendTitle: Etwas31 Precision zones and trend Overview: Get a complete market overview at a single glance. This script combines a comprehensive trend/volatility dashboard with automated, high-precision supply and demand zones. It filters out noise and highlights key market structures to improve your trading accuracy. Key Features: 1. 📊 Advanced MTF Dashboard (5m - 1W) Trend Monitor: Uses EMA 20 & 50 alignment to accurately detect Bullish, Bearish, or Neutral (Choppy) markets. No more guessing the trend. Volatility Scanner: Utilizing ATR logic, it signals whether the market is active (High ⚡) or dormant (Low 💤) for each timeframe. 2. 🎯 Precision Support & Resistance Zones Real Structure: Unlike simple lines, zones are drawn based on candle wicks (High to Body / Low to Body) to reflect the actual "thickness" of market interest. Visual Hierarchy: Weak Zones (15m, 30m): Displayed as Hollow/Dashed boxes. Ideal for scalping or short-term targets. Strong Zones (1H, 4H, 1D, 1W): Displayed as Solid/Filled boxes. These are key levels for reversals and major trend continuation. Auto-Extension: Zones automatically extend to the current price action for easy tracking. 3. ⚙️ Customizable & Clean Fully customizable colors and visibility settings. Optimized to prevent chart clutter while providing maximum information. How to Use: Use the Dashboard to align your trades with the higher timeframe trend (e.g., trade with the 4H trend). Wait for Volatility (⚡) to confirm momentum. Enter trades when price reacts at Solid Zones (Strong S/R) or use Hollow Zones for intraday scalp targets.
אינדיקטור Pine Script®
מאת ‎yjm928fac‎
FVG – (auto close + age) GR V1.0FVG – Fair Value Gaps (auto close + age counter) Short Description Automatically detects Fair Value Gaps (FVGs) on the current timeframe, keeps them open until price fully fills the gap or a maximum bar age is reached, and shows how many candles have passed since each FVG was created. Full Description This indicator automatically finds and visualizes Fair Value Gaps (FVGs) using the classic 3-candle ICT logic on any timeframe. It works on whatever timeframe you apply it to (M1, M5, H1, H4, etc.) and adapts to the current chart. FVG detection logic The script uses a 3-candle pattern: Bullish FVG Condition: low > high Gap zone: Lower boundary: high Upper boundary: low Bearish FVG Condition: high < low Gap zone: Lower boundary: high Upper boundary: low Each detected FVG is drawn as a colored box (green for bullish, red for bearish in this version, but you can adjust colors in the inputs). Auto-close rules An FVG remains on the chart until one of the following happens: Full fill / mitigation A bullish FVG closes when any candle’s low goes down to or below the lower boundary of the gap. A bearish FVG closes when any candle’s high goes up to or above the upper boundary of the gap. Maximum bar age reached Each FVG has a maximum lifetime measured in candles. When the number of candles since its creation reaches the configured maximum (default: 200 bars), the FVG is automatically removed even if it has not been fully filled. This keeps the chart cleaner and prevents very old gaps from cluttering the view. Age counter (labels inside the boxes) Inside every FVG box there is a small label that: Shows how many bars have passed since the FVG was created. Moves together with the right edge of the box and stays vertically centered in the gap. This makes it easy to distinguish fresh gaps from older ones and prioritize which zones you want to pay attention to. Inputs FVG color – Main fill color for all FVG boxes. Show bullish FVGs – Turn bullish gaps on/off. Show bearish FVGs – Turn bearish gaps on/off. Max bar age – Maximum number of candles an FVG is allowed to stay on the chart before it is removed. Usage Works on any symbol and any timeframe. Can be combined with your own ICT / SMC concepts, order blocks, session ranges, market structure, etc. You can also choose to only display bullish or only bearish FVGs depending on your directional bias. Disclaimer This script is for educational and informational purposes only and is not financial advice. Always do your own research and use proper risk management when trading.
אינדיקטור Pine Script®
מאת ‎GRIDFX‎
Coinbase Premium Index (Custom Tickers)📊 Coinbase Premium Index (Auto Symbol Support) 1. Overview The Coinbase Premium Index is a widely used indicator to gauge the sentiment difference between US institutional investors (Coinbase Pro) and global retail/futures traders (Binance). This script calculates the percentage difference between the Coinbase (USD pair) price and the Binance (USDT pair) price. 2. Key Features 🔄 Auto Symbol Matching (New): You no longer need to manually change tickers when switching charts. If you are looking at a SOL/USDT chart, the indicator automatically detects "SOL" and compares COINBASE:SOLUSD vs BINANCE:SOLUSDT. 🛠 Manual Mode: Includes a manual override option if you wish to compare specific fixed tickers (e.g., strictly BTC). 🎨 Dynamic Visuals: Histogram: Color-coded bars (Green/Red) indicate positive or negative premiums. Smart Label: Displays the real-time premium value on the chart. The label color adapts to the trend, and hovering over it shows a Tooltip confirming exactly which tickers are being compared. 3. How to Interpret The premium indicates the flow of funds and buying pressure: 🟢 Positive Premium (Green Bar): Coinbase Price > Binance Price Interpretation: Strong buying pressure from US institutions or spot whales. Often considered a Bullish signal. 🔴 Negative Premium (Red Bar): Coinbase Price < Binance Price Interpretation: Strong selling from US investors, or overheated buying in the offshore futures market (Binance). Often considered a Bearish or mean-reversion signal. 4. Settings Guide Ticker Mode: Auto (Current Chart): Automatically sets the comparison based on your current chart's base currency (Recommended). Manual (Custom): Uses the specific tickers defined in the manual input fields below. Manual Inputs: Enter tickers here if using Manual Mode (Default: COINBASE:BTCUSD vs BINANCE:BTCUSDT). Bar & Label Settings: Customize colors, transparency, and the vertical position (Y-Offset) of the data label to fit your chart layout.
אינדיקטור Pine Script®
מאת ‎BIGTAKER‎
SMC BOS/CHoCH + Auto Fib (5m/any TF) durane//@version=6 indicator('SMC BOS/CHoCH + Auto Fib (5m/any TF)', overlay = true, max_lines_count = 200, max_labels_count = 200) // --------- Inputs ---------- left = input.int(3, 'Pivot Left', minval = 1) right = input.int(3, 'Pivot Right', minval = 1) minSwingSize = input.float(0.0, 'Min swing size (price units, 0 = disabled)', step = 0.1) fib_levels = input.string('0.0,0.236,0.382,0.5,0.618,0.786,1.0', 'Fibonacci levels (comma separated)') show_labels = input.bool(true, 'Show BOS/CHoCH labels') lookbackHighLow = input.int(200, 'Lookback for structure (bars)') // Parse fib levels strs = str.split(fib_levels, ',') var array fibs = array.new_float() if barstate.isfirst for s in strs array.push(fibs, str.tonumber(str.trim(s))) // --------- Find pivot highs / lows ---------- pHigh = ta.pivothigh(high, left, right) pLow = ta.pivotlow(low, left, right) // store last confirmed swings var float lastSwingHighPrice = na var int lastSwingHighBar = na var float lastSwingLowPrice = na var int lastSwingLowBar = na if not na(pHigh) // check min size if minSwingSize == 0 or pHigh - nz(lastSwingLowPrice, pHigh) >= minSwingSize lastSwingHighPrice := pHigh lastSwingHighBar := bar_index - right lastSwingHighBar if not na(pLow) if minSwingSize == 0 or nz(lastSwingHighPrice, pLow) - pLow >= minSwingSize lastSwingLowPrice := pLow lastSwingLowBar := bar_index - right lastSwingLowBar // --------- Detect BOS & CHoCH (simple robust logic) ---------- var int lastBOSdir = 0 // 1 = bullish BOS (price broke above), -1 = bearish BOS var int lastBOSbar = na var float lastBOSprice = na // Look for price closes beyond last structural swings within lookback // Bullish BOS: close > recent swing high condBullBOS = not na(lastSwingHighPrice) and close > lastSwingHighPrice and bar_index - lastSwingHighBar <= lookbackHighLow // Bearish BOS: close < recent swing low condBearBOS = not na(lastSwingLowPrice) and close < lastSwingLowPrice and bar_index - lastSwingLowBar <= lookbackHighLow bosTriggered = false chochTriggered = false if condBullBOS bosTriggered := true if lastBOSdir != 1 // if previous BOS direction was -1, this is CHoCH (change of character) chochTriggered := lastBOSdir == -1 chochTriggered lastBOSdir := 1 lastBOSbar := bar_index lastBOSprice := close lastBOSprice if condBearBOS bosTriggered := true if lastBOSdir != -1 chochTriggered := lastBOSdir == 1 chochTriggered lastBOSdir := -1 lastBOSbar := bar_index lastBOSprice := close lastBOSprice // --------- Plot labels for BOS / CHoCH ---------- if bosTriggered and show_labels if chochTriggered label.new(bar_index, high, text = lastBOSdir == 1 ? 'CHoCH ↑' : 'CHoCH ↓', style = label.style_label_up, color = color.new(color.orange, 0), textcolor = color.white, yloc = yloc.abovebar) else label.new(bar_index, high, text = lastBOSdir == 1 ? 'BOS ↑' : 'BOS ↓', style = label.style_label_left, color = lastBOSdir == 1 ? color.green : color.red, textcolor = color.white, yloc = yloc.abovebar) // --------- Auto Fibonacci drawing ---------- var array fib_lines = array.new_line() var array fib_labels = array.new_label() var int lastFibId = na // Function to clear previous fibs f_clear() => if array.size(fib_lines) > 0 for i = 0 to array.size(fib_lines) - 1 line.delete(array.get(fib_lines, i)) if array.size(fib_labels) > 0 for i = 0 to array.size(fib_labels) - 1 label.delete(array.get(fib_labels, i)) array.clear(fib_lines) array.clear(fib_labels) // Decide anchors for fib: if lastBOSdir==1 (bullish) anchor from lastSwingLow -> lastSwingHigh // if lastBOSdir==-1 (bearish) anchor from lastSwingHigh -> lastSwingLow if lastBOSdir == 1 and not na(lastSwingLowPrice) and not na(lastSwingHighPrice) // bullish fib: low -> high startPrice = lastSwingLowPrice endPrice = lastSwingHighPrice // draw f_clear() for i = 0 to array.size(fibs) - 1 by 1 lvl = array.get(fibs, i) priceLevel = startPrice + (endPrice - startPrice) * lvl ln = line.new(x1 = lastSwingLowBar, y1 = priceLevel, x2 = bar_index, y2 = priceLevel, xloc = xloc.bar_index, extend = extend.right, color = color.new(color.green, 60), width = 1, style = line.style_solid) array.push(fib_lines, ln) lab = label.new(bar_index, priceLevel, text = str.tostring(lvl * 100, '#.0') + '%', style = label.style_label_right, color = color.new(color.green, 80), textcolor = color.white, yloc = yloc.price) array.push(fib_labels, lab) if lastBOSdir == -1 and not na(lastSwingHighPrice) and not na(lastSwingLowPrice) // bearish fib: high -> low startPrice = lastSwingHighPrice endPrice = lastSwingLowPrice f_clear() for i = 0 to array.size(fibs) - 1 by 1 lvl = array.get(fibs, i) priceLevel = startPrice + (endPrice - startPrice) * lvl ln = line.new(x1 = lastSwingHighBar, y1 = priceLevel, x2 = bar_index, y2 = priceLevel, xloc = xloc.bar_index, extend = extend.right, color = color.new(color.red, 60), width = 1, style = line.style_solid) array.push(fib_lines, ln) lab = label.new(bar_index, priceLevel, text = str.tostring(lvl * 100, '#.0') + '%', style = label.style_label_right, color = color.new(color.red, 80), textcolor = color.white, yloc = yloc.price) array.push(fib_labels, lab) // --------- Optional: plot lastSwing points ---------- plotshape(not na(lastSwingHighPrice) ? lastSwingHighPrice : na, title = 'LastSwingHigh', location = location.absolute, style = shape.triangledown, size = size.tiny, color = color.red, offset = 0) plotshape(not na(lastSwingLowPrice) ? lastSwingLowPrice : na, title = 'LastSwingLow', location = location.absolute, style = shape.triangleup, size = size.tiny, color = color.green, offset = 0) // --------- Alerts ---------- alertcondition(bosTriggered and lastBOSdir == 1, title = 'Bullish BOS', message = 'Bullish BOS detected on {{ticker}} @ {{close}}') alertcondition(bosTriggered and lastBOSdir == -1, title = 'Bearish BOS', message = 'Bearish BOS detected on {{ticker}} @ {{close}}') alertcondition(chochTriggered, title = 'CHoCH Detected', message = 'CHoCH detected on {{ticker}} @ {{close}}') // End
אינדיקטור Pine Script®
מאת ‎durane‎
ICT Macro Slot Algo Event📊 Overview A powerful multi-timeframe trading indicator that combines Institutional Macro Session Tracking to identify optimal trading windows throughout the day. This tool helps traders align with institutional flow patterns and algorithmic activity across major sessions. 🎯 Key Features 1. Macro Algo Event Sessions Tracks 6 key institutional time windows during NY Session: NY Sweep (08:50-09:10) - Opening balance flows Silver Bullet #1 (09:50-10:10) - First major macro move Silver Bullet #2 (10:50-11:10) - Second chance/retest opportunity Lunch Macro (11:50-12:10) - Mid-day repositioning Post-Lunch Rebalance (13:10-13:40) - Post-lunch adjustments NY Closing Macros (15:15-15:45) - End-of-day flows
אינדיקטור Pine Script®
מאת ‎viveksadokj1uli‎
1
Volume Z-Score// This indicator calculates the Z-Score of trading volume to identify // statistically significant volume spikes. It uses a dynamic percentile-based // threshold to highlight extreme volume events. // // How it works: // - Z-Score measures how many standard deviations the current volume is from the mean // - The threshold line represents the top 1% (99th percentile) of historical Z-Score values // - When volume Z-Score exceeds the threshold, the line turns red // // Use cases: // - Spot unusual institutional activity or large block trades // - Identify potential breakout or breakdown points with volume confirmation // - Filter out noise by focusing only on statistically extreme volume events // // Parameters: // - Period Length: Lookback period for calculating mean and standard deviation // - Percentile Threshold: Defines the extreme volume cutoff (default 99 = top 1%) // ===================================
אינדיקטור Pine Script®
מאת ‎Go3x3‎
My script// @version=5 indicator("Custom LuxAlgo-Style Levels", overlay=true, max_lines_count=500) // --- Trend Detection (EMA Based) fastEMA = ta.ema(close, 9) slowEMA = ta.ema(close, 21) trendUp = fastEMA > slowEMA trendDown = fastEMA < slowEMA plot(fastEMA, title="Fast EMA", color=color.new(color.blue, 0)) plot(slowEMA, title="Slow EMA", color=color.new(color.orange, 0)) // --- Buy / Sell Signals buySignal = trendUp and ta.crossover(fastEMA, slowEMA) sellSignal = trendDown and ta.crossunder(fastEMA, slowEMA) plotshape(buySignal, title="Buy", style=shape.labelup, color=color.new(color.green,0), size=size.small, text="BUY") plotshape(sellSignal, title="Sell", style=shape.labeldown, color=color.new(color.red,0), size=size.small, text="SELL") // --- Auto Support & Resistance length = 20 sup = ta.lowest(length) res = ta.highest(length) plot(sup, title="Support", color=color.new(color.green,70), linewidth=2) plot(res, title="Resistance", color=color.new(color.red,70), linewidth=2) // --- Market Structure (Simple Swing High/Low) sh = ta.highest(high, 5) == high sl = ta.lowest(low, 5) == low plotshape(sh, title="Swing High", style=shape.triangledown, location=location.abovebar, color=color.red, size=size.tiny) plotshape(sl, title="Swing Low", style=shape.triangleup, location=location.belowbar, color=color.green, size=size.tiny) // --- Alerts alertcondition(buySignal, "Buy Signal", "Trend Buy Signal Detected") alertcondition(sellSignal, "Sell Signal", "Trend Sell Signal Detected")
אינדיקטור Pine Script®
מאת ‎roadwaysmkd‎
Day Separators Description: This script visually separates the trading chart by days of the week. Each day is highlighted with a distinct background color or vertical line, making it easier to analyze daily price patterns and trading activity. Useful for spotting trends, comparing daily performance, or planning strategies based on weekday behavior. Features: Divides the chart by weekdays (Monday to Sunday). Optional background shading or vertical lines for each day. Customizable colors and line styles for better visibility. Works on any timeframe. Use Cases: Identify patterns or anomalies on specific weekdays. Track performance trends across the week. Simplify intraday and daily analysis for more informed trading decisions.
אינדיקטור Pine Script®
מאת ‎Gabi_111‎
Daily vs Monthly VWAP CrossoverDaily vs Monthly VWAP Crossover Strategy Description: Overview This indicator is a trend-following tool designed to identify significant shifts in market sentiment by comparing short-term institutional value against the longer-term trend. It utilizes Anchored VWAP (Volume Weighted Average Price) logic to track the average price paid by traders for the current Day versus the current Month. How It Works Unlike standard Moving Averages which lag significantly, VWAP factors in volume, making it a preferred benchmark for institutional traders. Daily VWAP (Fast Line): Anchors at the start of the current trading day. It represents the intraday equilibrium price. Monthly VWAP (Slow Line): Anchors at the start of the current month. It represents the broader value consensus for the month. The indicator calculates these values cumulatively on every tick/bar, regardless of the chart timeframe selected (e.g., 30m, 1h). Trading Logic & Signals The strategy is based on the concept of value migration: BUY Signal (Bullish Reversal): Triggers when the Daily VWAP crosses ABOVE the Monthly VWAP. This suggests that short-term buying pressure and volume are pushing the price higher than the monthly average cost basis, indicating a potential breakout or trend continuation. SELL Signal (Bearish Reversal): Triggers when the Daily VWAP crosses BELOW the Monthly VWAP. This indicates that intraday weakness has dragged the price below the month's average value, signaling potential downside momentum. Features Visual Crossovers: Clearly marked "B" (Buy) and "S" (Sell) labels on the chart. Trend Background: The background color changes subtly (Green/Red) to indicate the current dominance of the Daily vs. Monthly trend. Alerts: Fully compatible with TradingView alerts for real-time notifications on crossovers. Best Practices Timeframe: Designed optimally for intraday charts such as 30-minute or 1-hour timeframes. Confirmation: As with any VWAP strategy, this works best when combined with price action analysis (e.g., breakout of key resistance) rather than used blindly in choppy, sideways markets.
אינדיקטור Pine Script®
מאת ‎Spoiltbrat‎
Multi Time Frame EMA & MA IndicatorThis indicator automatically applies prime-number EMAs and MAs based on the current chart timeframe, using faster cool-tone EMAs and slower warm-tone MAs to clearly distinguish momentum vs trend. It adapts dynamically for 1m, 5m, 15m, 1H, 4H, and 1D charts, and uses a visual hierarchy where thinner lines represent faster averages and thicker lines represent slower ones, ensuring clarity in both light and dark themes. An on-chart label displays which EMA and MA lengths are active for the selected timeframe.
אינדיקטור Pine Script®
מאת ‎ajaychobey7‎