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Volume Pulse con segnali e DashboardThe Volume Pulse indicator is designed for scalping strategies, helping traders identify quick, high-probability trading opportunities based on two main factors: Range Breakout: When the price breaks above or below a key level (the highest or lowest point of a specified range). Volume Confirmation: The breakout is validated if the volume is significantly higher than the average (multiplied by a customizable factor) to confirm that the move is strong and not a false breakout. How It Works: BUY Signals: Triggered when the price breaks above the high of a defined range (range 1 or 2), with volume exceeding the average by the specified multiplier (vol_threshold). SELL Signals: Triggered when the price falls below the low of a defined range, with volume confirming the move. The BUY signals are shown as green upward arrows below the candle, while the SELL signals appear as red downward arrows above the candle. Sidebar Dashboard: The sidebar dashboard provides real-time market conditions: Signal Status: Displays whether a BUY or SELL signal is active. Volume: Shows the current candle's volume. Volatility: Indicates the volatility, calculated as the standard deviation of the closing prices, useful for assessing market pressure. Alerts: Alerts are set up to notify the trader when a BUY or SELL signal occurs, allowing for quick reaction to market conditions. Customization: You can adjust the volume multiplier to make the signals more or less selective. The dashboard can be customized to show additional information or adjust its placement on the chart. Conclusion: This scalping indicator combines breakout analysis with volume confirmation, offering a quick and effective way to spot short-term trading opportunities. It provides clear visual signals and an intuitive dashboard to help scalpers analyze the market and act swiftly.
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Dischi249 tarafından
MR CHAU🔍 MR CHAU — Trend & Reversal Smart Indicator MR CHAU is a smart price action-based tool that helps you spot trend direction and key reversal signals. It colors candles based on strength, detects bullish/bearish pinbars and engulfing patterns, and highlights retest zones where price often turns. 📊 Built for traders who value clean visuals and actionable signals — no clutter, just clarity. ✅ Buy/Sell alerts included ✅ Works on all timeframes ✅ Perfect for trend-followers and reversal traders
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electricalPepperbb7e6 tarafından
Swing Trading PRO - Moving averages + RSIWhat the Lines Mean ? Orange Line (Fast EMA) = 20-period Exponential Moving Average Blue Line (Slow EMA) = 50-period Exponential Moving Average These are used to determine market trend: If orange (EMA 20) is above blue (EMA 50) → Market is in an uptrend If orange is below blue → Market is in a downtrend Use on 4H or Daily timeframe for swing trades Avoid using in sideways/choppy markets (when the EMAs are close together or crossing repeatedly) Combine with support/resistance or Fibonacci retracements for more precise exits
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mkukulski2277c tarafından
3
Chandelier Exit 優化版//@version=5 indicator('Chandelier Exit 優化版', shorttitle='CE優化', overlay=true) var string calcGroup = 'Calculation' length = input.int(title='ATR週期', defval=22, group=calcGroup) mult = input.float(title='ATR倍數', step=0.1, defval=3.0, group=calcGroup) useClose = input.bool(title='使用收盤價計算高低點', defval=true, group=calcGroup) var string visualGroup = '視覺設定' showLabels = input.bool(title='顯示買/賣標籤', defval=true, group=visualGroup) highlightState = input.bool(title='高亮趨勢區域', defval=true, group=visualGroup) var string alertGroup = '警報設定' awaitBarConfirmation = input.bool(title="等待K棒收定再確認訊號", defval=false, group=alertGroup) atr = mult * ta.atr(length) longStop = (useClose ? ta.highest(close, length) : ta.highest(length)) - atr longStopPrev = nz(longStop , longStop) longStop := close > longStopPrev ? math.max(longStop, longStopPrev) : longStop shortStop = (useClose ? ta.lowest(close, length) : ta.lowest(length)) + atr shortStopPrev = nz(shortStop , shortStop) shortStop := close < shortStopPrev ? math.min(shortStop, shortStopPrev) : shortStop var int dir = 1 dir := close > shortStopPrev ? 1 : close < longStopPrev ? -1 : dir var color longColor = color.green var color shortColor = color.red var color longFillColor = color.new(color.green, 90) var color shortFillColor = color.new(color.red, 90) var color textColor = color.white longStopPlot = plot(dir == 1 ? longStop : na, title='多方停損', style=plot.style_linebr, linewidth=2, color=longColor) buySignal = dir == 1 and dir == -1 plotshape(buySignal ? longStop : na, title='買進訊號', location=location.absolute, style=shape.circle, size=size.tiny, color=longColor) plotshape(buySignal and showLabels ? longStop : na, title='買標籤', text='買', location=location.absolute, style=shape.labelup, size=size.tiny, color=longColor, textcolor=textColor) shortStopPlot = plot(dir == 1 ? na : shortStop, title='空方停損', style=plot.style_linebr, linewidth=2, color=shortColor) sellSignal = dir == -1 and dir == 1 plotshape(sellSignal ? shortStop : na, title='賣出訊號', location=location.absolute, style=shape.circle, size=size.tiny, color=shortColor) plotshape(sellSignal and showLabels ? shortStop : na, title='賣標籤', text='賣', location=location.absolute, style=shape.labeldown, size=size.tiny, color=shortColor, textcolor=textColor) midPricePlot = plot(ohlc4, title='', style=plot.style_circles, linewidth=0, display=display.none, editable=false) longStateFillColor = highlightState ? dir == 1 ? longFillColor : na : na shortStateFillColor = highlightState ? dir == -1 ? shortFillColor : na : na fill(midPricePlot, longStopPlot, title='多方區域', color=longStateFillColor) fill(midPricePlot, shortStopPlot, title='空方區域', color=shortStateFillColor) await = true // 立即通知快訊，無需等K棒收定 alertcondition(dir != dir and await, title='警報: 趨勢改變', message='Chandelier Exit 趨勢改變！') alertcondition(buySignal and await, title='警報: 買進訊號', message='Chandelier Exit 買進訊號！') alertcondition(sellSignal and await, title='警報: 賣出訊號', message='Chandelier Exit 賣出訊號！')
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z0955334353 tarafından
Zweig Breadth Thrust (%)Zweig Breadth Thrust Indicator for US Markets (NYSE, NASDAQ, AMEX, All Markets) The formula for calculating the Zweig Breadth Thrust involves several steps. Here’s a simplified version of the calculation: 1. Calculate the number of advancing stocks (those that increased in price) over a specified period, usually the past 10 trading days. 2. Calculate the number of declining stocks (those that decreased in price) over the same period. 3. Calculate the 10-day moving average (either SMA or EMA) of the advancing stocks. 4. Calculate the 10-day moving average (either SMA orEMA) of the declining stocks. 5. Calculate the ZBT value by dividing the 10-day EMA of advancing issues by the sum of the 10-day EMA of advancing issues and the 10-day EMA of declining issues, then multiplying by 100 to convert it to a percentage.
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Finnomena tarafından
Merged: Range Filter & Smart Envelope//@version=5 indicator("Merged: Range Filter & Smart Envelope", overlay=true, max_lines_count=500, max_labels_count=500) // ==================== Range Filter Settings ==================== // Color variables upColor = color.white midColor = #90bff9 downColor = color.blue // Source src = input(defval=close, title="Source") // Sampling Period per = input.int(defval=100, minval=1, title="Sampling Period") // Range Multiplier mult = input.float(defval=3.0, minval=0.1, title="Range Multiplier") // Smooth Average Range smoothrng(x, t, m) => wper = t * 2 - 1 avrng = ta.ema(math.abs(x - x ), t) smoothrng = ta.ema(avrng, wper) * m smoothrng smrng = smoothrng(src, per, mult) // Range Filter rngfilt(x, r) => rngfilt = x rngfilt := x > nz(rngfilt ) ? x - r < nz(rngfilt ) ? nz(rngfilt ) : x - r : x + r > nz(rngfilt ) ? nz(rngfilt ) : x + r rngfilt filt = rngfilt(src, smrng) // Filter Direction upward = 0.0 upward := filt > filt ? nz(upward ) + 1 : filt < filt ? 0 : nz(upward ) downward = 0.0 downward := filt < filt ? nz(downward ) + 1 : filt > filt ? 0 : nz(downward ) // Target Bands hband = filt + smrng lband = filt - smrng // Colors filtcolor = upward > 0 ? upColor : downward > 0 ? downColor : midColor barcolor = src > filt and src > src and upward > 0 ? upColor : src > filt and src < src and upward > 0 ? upColor : src < filt and src < src and downward > 0 ? downColor : src < filt and src > src and downward > 0 ? downColor : midColor filtplot = plot(filt, color=filtcolor, linewidth=2, title="Range Filter") // Target hbandplot = plot(hband, color=color.new(upColor, 70), title="High Target") lbandplot = plot(lband, color=color.new(downColor, 70), title="Low Target") // Fills fill(hbandplot, filtplot, color=color.new(upColor, 90), title="High Target Range") fill(lbandplot, filtplot, color=color.new(downColor, 90), title="Low Target Range") // Bar Color barcolor(barcolor) // Break Outs longCond = bool(na) shortCond = bool(na) longCond := src > filt and src > src and upward > 0 or src > filt and src < src and upward > 0 shortCond := src < filt and src < src and downward > 0 or src < filt and src > src and downward > 0 CondIni = 0 CondIni := longCond ? 1 : shortCond ? -1 : CondIni longCondition = longCond and CondIni == -1 shortCondition = shortCond and CondIni == 1 // ==================== Smart Envelope with Stochastic RSI ==================== h_env = input.float(8., 'Bandwidth', minval = 0) mult_env = input.float(3., minval = 0) repaint = input(true, 'Repainting Smoothing') // Stochastic RSI Settings smoothK = input.int(3, "K", minval=1) smoothD = input.int(3, "D", minval=1) lengthRSI = input.int(14, "RSI Length", minval=1) lengthStoch = input.int(14, "Stochastic Length", minval=1) rsi1 = ta.rsi(src, lengthRSI) k = ta.sma(ta.stoch(rsi1, rsi1, rsi1, lengthStoch), smoothK) d = ta.sma(k, smoothD) // Nadaraya-Watson Envelope Functions gauss(x, h) => math.exp(-(math.pow(x, 2)/(h * h * 2))) var coefs = array.new_float(0) var den = 0. if barstate.isfirst and not repaint for i = 0 to 499 w = gauss(i, h_env) coefs.push(w) den := coefs.sum() out = 0. if not repaint for i = 0 to 499 out += src * coefs.get(i) out /= den mae = ta.sma(math.abs(src - out), 499) * mult_env upper_env = out + mae lower_env = out - mae // Compute and display NWE n = bar_index var float y2 = na var float y1 = na nwe = array.new(0) if barstate.islast and repaint sae = 0. for i = 0 to math.min(499,n - 1) sum = 0. sumw = 0. for j = 0 to math.min(499,n - 1) w = gauss(i - j, h_env) sum += src * w sumw += w y2 := sum / sumw sae += math.abs(src - y2) nwe.push(y2) sae := sae / math.min(499,n - 1) * mult_env for i = 0 to math.min(499,n - 1) if i % 2 line.new(n-i+1, y1 + sae, n-i, nwe.get(i) + sae, color=color.teal) line.new(n-i+1, y1 - sae, n-i, nwe.get(i) - sae, color=color.red) y1 := nwe.get(i) // Plot Nadaraya-Watson Envelope plot(repaint ? na : out + mae, 'Upper Envelope', color=color.teal) plot(repaint ? na : out - mae, 'Lower Envelope', color=color.red) // Stochastic RSI Plot plot(k, "Stochastic RSI K", color=color.blue) plot(d, "Stochastic RSI D", color=color.orange) h0 = hline(80, "Upper Band", color=color.gray) hline(50, "Middle Band", color=color.new(color.gray, 50)) h1 = hline(20, "Lower Band", color=color.gray) fill(h0, h1, color=color.rgb(33, 150, 243, 90), title="Stochastic RSI Background") // ==================== Combined Signal Logic ==================== // Enhanced Signal Confirmation ma_length = input.int(20, "Filter Moving Average Length", minval=1) ma = ta.sma(close, ma_length) // Combined Buy Signal: Range Filter + Stochastic RSI + Envelope combined_buy = (longCondition or (ta.crossover(k, d) and close > upper_env)) and close > ma combined_sell = (shortCondition or (ta.crossunder(k, d) and close < lower_env)) and close < ma // Plot combined signals with higher priority plotshape(combined_buy, "Combined Buy", shape.labelup, location.belowbar, color=color.green, size=size.normal, text="STRONG BUY") plotshape(combined_sell, "Combined Sell", shape.labeldown, location.abovebar, color=color.red, size=size.normal, text="STRONG SELL") // Original signals (lower priority) plotshape(longCondition and not combined_buy, "Buy Signal", shape.labelup, location.belowbar, color=color.lime, size=size.small, text="BUY") plotshape(shortCondition and not combined_sell, "Sell Signal", shape.labeldown, location.abovebar, color=color.maroon, size=size.small, text="SELL") // Plot the moving average filter line plot(ma, "Filter MA", color=color.purple, linewidth=2) // Alerts alertcondition(combined_buy, title="Strong Buy Alert", message="Strong Buy Signal") alertcondition(combined_sell, title="Strong Sell Alert", message="Strong Sell Signal")
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weup0 tarafından
Market Breadth Ratios OverlayThis overlay indicator displays the up/down volume breadth ratio for both the NYSE and NASDAQ directly on your chart. Ratios are calculated using volume data from: USI:UVOL, USI:DVOL (NYSE) USI:UVOLQ, USI:DVOLQ (NASDAQ) A green label indicates more up volume than down volume (bullish breadth). A red label indicates more down volume than up volume (bearish breadth). Labels update every 10 bars and are anchored to the candle’s high (NYSE) and low (NASDAQ). Negative ratios are inverted and displayed as -D:U to maintain a consistent “X:1” format. Use this tool to assess whether institutional buying pressure is broad-based across exchanges — a valuable layer of confirmation for directional bias.
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vizhal007 tarafından
Vitdia Regression channel autoVitdia Regression Channel Auto script is a technical analysis tool that automatically calculates and displays a regression channel based on closing prices over a user-defined lookback period (default: 100 bars). Key Features: Customizable Parameters: Adjust the lookback period and the number of standard deviations (default: 2.0) to tailor the channel to your trading strategy. Dynamic Regression Calculation: The script computes the linear regression line, upper, and lower channel lines in real-time, providing insights into market trends. Visual Clarity: Options to display the middle line and fill the channel area enhance visualization. The middle line is shown in light green, while the upper and lower lines are red and green, respectively. Usage: Add this script to your TradingView chart to visualize price trends and potential support/resistance levels. It helps traders identify entry and exit points effectively by providing a clear representation of price action relative to its historical trend.
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vitdia2020 tarafından
SMA 8-18 Angle Measurement - Color, Size, and Alerts//@version=5 indicator("SMA 8-18 Angle Measurement - Color, Size, and Alerts", overlay=true) // --- Calculate short-term (SMA 8) and mid-term (SMA 18) simple moving averages --- // These two SMAs will be used to detect trend crossovers. sma8 = ta.sma(close, 8) sma18 = ta.sma(close, 18) // --- Plot SMA 8 and SMA 18 on the chart for visual trend analysis --- plot(sma8, title="SMA 8", color=color.blue) plot(sma18, title="SMA 18", color=color.orange) // --- Calculate the slope (momentum) of each SMA --- // Measures how steeply each moving average is moving. slope_sma8 = sma8 - sma8 slope_sma18 = sma18 - sma18 // --- Find the difference between the slopes of SMA 8 and SMA 18 --- // This helps to measure the relative speed of trend changes between short and mid-term averages. slope_difference = slope_sma8 - slope_sma18 // --- Convert slope difference into an angle in degrees --- // Using arctangent to calculate the angle of divergence between the two SMAs. angle_rad = math.atan(slope_difference) angle_deg = angle_rad * (180 / math.pi) // --- User settings for customization --- // Allow users to enable color change and size change of labels based on angle behavior. change_color = input.bool(true, title="Change Label Color Based on Angle Direction") change_size = input.bool(true, title="Change Label Size Based on Angle Magnitude") // --- Dynamic label color based on angle direction --- // Positive angles = blue (bullish slope), Negative angles = red (bearish slope). label_color = color.white if change_color label_color := angle_deg >= 0 ? color.blue : color.red // --- Dynamic label size based on angle strength --- // Small angles = smaller label, stronger angles = larger label. label_size = size.normal if change_size if math.abs(angle_deg) < 10 label_size := size.small else if math.abs(angle_deg) < 30 label_size := size.normal else label_size := size.large // --- Detect crossover events between SMA 8 and SMA 18 --- // Bullish crossover: SMA 8 crosses above SMA 18 // Bearish crossunder: SMA 8 crosses below SMA 18 bull_cross = ta.crossover(sma8, sma18) bear_cross = ta.crossunder(sma8, sma18) // --- Display only the latest crossover angle as a label on the chart --- // Old labels are deleted to keep the chart clean and focused on the last event. var label last_cross_label = na if (bull_cross or bear_cross) if not na(last_cross_label) label.delete(last_cross_label) last_cross_label := label.new(bar_index, high + 10, "Angle: " + str.tostring(angle_deg, format.mintick) + "°", color=color.new(color.purple, 0), style=label.style_label_down, textcolor=label_color, size=label_size) // --- Define movement strength conditions for alerts --- // Different alert triggers based on angle magnitude (weak, strong, very strong crossover). strong_movement = (angle_deg > 30) or (angle_deg < -30) weak_movement = (math.abs(angle_deg) < 5) very_strong_movement = (math.abs(angle_deg) > 45) // --- Set up alert conditions --- // These alerts help traders react to strong or weak trend changes. alertcondition(strong_movement, title="Strong Cross", message="SMA 8-18 Strong Angle Cross Detected!") alertcondition(weak_movement, title="Weak Cross", message="SMA 8-18 Weak Angle Cross Detected!") alertcondition(very_strong_movement, title="Very Strong Cross", message="SMA 8-18 Very Strong Angle Cross Detected!")
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ozgurhan tarafından
Gold Dominance vs BitcoinThis script calculates Gold Dominance as the percentage of gold’s market cap relative to the combined market cap of gold and Bitcoin. It uses the XAU/USD spot price to estimate gold’s total valuation (based on 6.75 billion ounces in circulation). Bitcoin market cap is pulled directly from TradingView’s CRYPTOCAP:BTC feed. Useful for tracking macro trends, portfolio positioning, and potential mean-reversion setups.
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diligent_leopard tarafından