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Indicatori di Bill Williams

Trend River Pullback (Avramis-style) v1//@version=5 strategy("Trend River Pullback (Avramis-style) v1", overlay=true, initial_capital=10000, commission_type=strategy.commission.percent, commission_value=0.02, pyramiding=0, calc_on_order_fills=true, calc_on_every_tick=true, margin_long=1, margin_short=1) // ===== Inputs // EMA "река" emaFastLen = input.int(8, "EMA1 (быстрая)") ema2Len = input.int(13, "EMA2") emaMidLen = input.int(21, "EMA3 (средняя)") ema4Len = input.int(34, "EMA4") emaSlowLen = input.int(55, "EMA5 (медленная)") // Откат и импульс rsiLen = input.int(14, "RSI длина") rsiOB = input.int(60, "RSI порог тренда (лонг)") rsiOS = input.int(40, "RSI порог тренда (шорт)") pullbackPct = input.float(40.0, "Глубина отката в % ширины реки", minval=0, maxval=100) // Риск-менеджмент riskPct = input.float(1.0, "Риск на сделку, % от капитала", step=0.1, minval=0.1) atrLen = input.int(14, "ATR длина (стоп/трейлинг)") atrMultSL = input.float(2.0, "ATR множитель для стопа", step=0.1) tpRR = input.float(2.0, "Тейк-профит R-множитель", step=0.1) // Трейлинг-стоп useTrail = input.bool(true, "Включить трейлинг-стоп (Chandelier)") trailMult = input.float(3.0, "ATR множитель трейлинга", step=0.1) // Торговые часы (по времени биржи TradingView символа) useSession = input.bool(false, "Ограничить торговые часы") sessInput = input.session("0900-1800", "Сессия (локальная для биржи)") // ===== Calculations ema1 = ta.ema(close, emaFastLen) ema2 = ta.ema(close, ema2Len) ema3 = ta.ema(close, emaMidLen) ema4 = ta.ema(close, ema4Len) ema5 = ta.ema(close, emaSlowLen) // "Река": верх/низ как конверт по средним riverTop = math.max(math.max(ema1, ema2), math.max(ema3, math.max(ema4, ema5))) riverBot = math.min(math.min(ema1, ema2), math.min(ema3, math.min(ema4, ema5))) riverMid = (riverTop + riverBot) / 2.0 riverWidth = riverTop - riverBot // Трендовые условия: выстроенность EMAs bullAligned = ema1 > ema2 and ema2 > ema3 and ema3 > ema4 and ema4 > ema5 bearAligned = ema1 < ema2 and ema2 < ema3 and ema3 < ema4 and ema4 < ema5 // Импульс rsi = ta.rsi(close, rsiLen) // Откат внутрь "реки" pullbackLevelBull = riverTop - riverWidth * (pullbackPct/100.0) // чем больше %, тем глубже внутрь pullbackLevelBear = riverBot + riverWidth * (pullbackPct/100.0) pullbackOkBull = bullAligned and rsi >= rsiOB and low <= pullbackLevelBull pullbackOkBear = bearAligned and rsi <= rsiOS and high >= pullbackLevelBear // Триггер входа: возврат в импульс (пересечение быстрой EMA) longTrig = pullbackOkBull and ta.crossover(close, ema1) shortTrig = pullbackOkBear and ta.crossunder(close, ema1) // Сессия inSession = useSession ? time(timeframe.period, sessInput) : true // ATR для стопов atr = ta.atr(atrLen) // ===== Position sizing по риску // Расчет размера позиции: риск% от капитала / (стоп в деньгах) capital = strategy.equity riskMoney = capital * (riskPct/100.0) // Предварительные уровни стопов longSL = close - atrMultSL * atr shortSL = close + atrMultSL * atr // Цена тика и размер — приблизительно через syminfo.pointvalue (может отличаться на разных рынках) tickValue = syminfo.pointvalue // Избежать деления на 0 slDistLong = math.max(close - longSL, syminfo.mintick) slDistShort = math.max(shortSL - close, syminfo.mintick) // Кол-во контрактов/лотов qtyLong = riskMoney / (slDistLong * tickValue) qtyShort = riskMoney / (slDistShort * tickValue) // Ограничение: не меньше 0 qtyLong := math.max(qtyLong, 0) qtyShort := math.max(qtyShort, 0) // ===== Entries if inSession and longTrig and strategy.position_size <= 0 strategy.entry("Long", strategy.long, qty=qtyLong) if inSession and shortTrig and strategy.position_size >= 0 strategy.entry("Short", strategy.short, qty=qtyShort) // ===== Exits: фиксированный TP по R и стоп // Храним цену входа var float entryPrice = na if strategy.position_size != 0 and na(entryPrice) entryPrice := strategy.position_avg_price if strategy.position_size == 0 entryPrice := na // Цели longTP = na(entryPrice) ? na : entryPrice + tpRR * (entryPrice - longSL) shortTP = na(entryPrice) ? na : entryPrice - tpRR * (shortSL - entryPrice) // Трейлинг: Chandelier trailLong = close - trailMult * atr trailShort = close + trailMult * atr // Итоговые уровни выхода useTrailLong = useTrail and strategy.position_size > 0 useTrailShort = useTrail and strategy.position_size < 0 // Для лонга if strategy.position_size > 0 stopL = math.max(longSL, na) // базовый стоп tStop = useTrailLong ? trailLong : longSL // Выход по стопу/трейлу и ТП strategy.exit("L-Exit", from_entry="Long", stop=tStop, limit=longTP) // Для шорта if strategy.position_size < 0 stopS = math.min(shortSL, na) tStopS = useTrailShort ? trailShort : shortSL strategy.exit("S-Exit", from_entry="Short", stop=tStopS, limit=shortTP) // ===== Visuals plot(ema1, "EMA1", display=display.all, linewidth=1) plot(ema2, "EMA2", display=display.all, linewidth=1) plot(ema3, "EMA3", display=display.all, linewidth=2) plot(ema4, "EMA4", display=display.all, linewidth=1) plot(ema5, "EMA5", display=display.all, linewidth=1) plot(riverTop, "River Top", style=plot.style_linebr, linewidth=1) plot(riverBot, "River Bot", style=plot.style_linebr, linewidth=1) fill(plot1=plot(riverTop, display=display.none), plot2=plot(riverBot, display=display.none), title="River Fill", transp=80) plot(longTP, "Long TP", style=plot.style_linebr) plot(shortTP, "Short TP", style=plot.style_linebr) plot(useTrailLong ? trailLong : na, "Trail Long", style=plot.style_linebr) plot(useTrailShort ? trailShort : na, "Trail Short", style=plot.style_linebr) // Маркеры сигналов plotshape(longTrig, title="Long Trigger", style=shape.triangleup, location=location.belowbar, size=size.tiny, text="L") plotshape(shortTrig, title="Short Trigger", style=shape.triangledown, location=location.abovebar, size=size.tiny, text="S") // ===== Alerts alertcondition(longTrig, title="Long Signal", message="Long signal: trend aligned + pullback + momentum") alertcondition(shortTrig, title="Short Signal", message="Short signal: trend aligned + pullback + momentum")
Strategia Pine Script®
di akhmedovadurdona1
ST Fractals With Percentage DifferenceThis indicator identifies Williams Fractals on your price chart, helping traders spot potential reversal points and short-term highs and lows. This changes default value to 1 and adds percentage difference similar to ST Fractals option on MT5 How It Works: Up Fractals (▲): Plotted above a candle that is higher than its surrounding candles — a potential short-term top. Down Fractals (▼): Plotted below a candle that is lower than its surrounding candles — a potential short-term bottom. Fractals are only drawn if the price difference from the next candle exceeds a minimum percentage, to avoid signals caused by small fluctuations. The script ensures that both up and down fractals never appear on the same candle, keeping your chart clear. Settings: Periods (n): Determines how many candles before and after are considered to find a fractal. Default: 2. Min % Difference: Filters out insignificant fractals by requiring a minimum difference from the next candle. Default: 0.01%. Usage Tips: Can be used to identify support and resistance levels. Often combined with trend indicators or moving averages to confirm reversals. Works best in markets with clear trends or volatility, rather than very flat markets. Visuals: Green triangle ▲ → Up Fractal (potential top) Red triangle ▼ → Down Fractal (potential bottom)
Indicatore Pine Script®
di kmarin137
Playbook//@version=6 indicator('Playbook', overlay = true, scale = scale.right) // === Inputs === useYesterdayPOC = input.bool(true, 'Use Yesterday\'s POC (else Today’s Developing)') atrLength = input.int(14, 'ATR Length', minval = 1) stretchMult = input.float(1.5, 'Stretch Threshold (in ATRs)', minval = 0.1, step = 0.1) showBands = input.bool(true, "Show Stretch Bands") useAnchoredVWAP = input.bool(true, "Show Anchored VWAP") anchorDate = input.time(timestamp("01 Jan 2023 00:00 +0000"), "VWAP Anchor Date") // === ATR === atr = ta.atr(atrLength) isNewDay = ta.change(time('D')) != 0 // === VWAP as POC Approximation === todayVWAP = ta.vwap var float yVWAP = na if isNewDay yVWAP := todayVWAP activePOC = useYesterdayPOC and not na(yVWAP) ? yVWAP : todayVWAP // === Stretch Bands === upperBand = activePOC + atr * stretchMult lowerBand = activePOC - atr * stretchMult // Plot stretch bands pocColor = color.yellow bandFill = plot(upperBand, "Upper Band", color=color.red, linewidth=1, display=showBands ? display.all : display.none) bandFill2 = plot(lowerBand, "Lower Band", color=color.green, linewidth=1, display=showBands ? display.all : display.none) pocLine = plot(activePOC, "POC Target", color=pocColor, linewidth=2) fill(bandFill, bandFill2, color=color.new(color.gray, 90)) // === Anchored VWAP === anchoredVWAP = ta.vwap(ta.change(time) >= anchorDate ? close : na) plot(useAnchoredVWAP ? anchoredVWAP : na, "Anchored VWAP", color=color.blue, linewidth=2) // === STATUS TABLE === var table statusTable = table.new(position.bottom_right, 1, 1, border_width=1, border_color=color.gray) insideBands = close <= upperBand and close >= lowerBand statusText = insideBands ? "WAIT" : "TRADE AVAILABLE" statusColor = insideBands ? color.orange : color.green table.cell(statusTable, 0, 0, statusText, text_color=color.rgb(5, 4, 4), bgcolor=statusColor) // === Heatmap === bgcolor(close > upperBand ? color.new(color.red, 80) : close < lowerBand ? color.new(color.green, 80) : color.new(color.orange, 90))
Indicatore Pine Script®
di luisbolanos521
Multi-Timeframe Golden Cross_Raden (DCMS)How the Script Works The f_checkGoldenCross function: Calculates the fast MA (50-day SMA) and slow MA (200-day SMA) for a given timeframe. Returns true if a Golden Cross (fast MA crossing over slow MA upwards) occurs, false otherwise. Detection per Timeframe: Golden Crosses are checked for 8 timeframes: 1m, 5m, 15m, 1h, 4h, D, W, M. If a crossover occurs, a green label with the text "GC" + the timeframe appears above the candle. Visualization: The fast MA (blue) and slow MA (red) are plotted on the current timeframe chart. The Golden Cross label appears for each timeframe that detects a crossover. Alerts: Automatic alerts for Golden Crosses on the current timeframe chart (via maFastCurrent and maSlowCurrent). Additional alerts for each timeframe (1m, 5m, etc.) so you can set notifications separately in TradingView. ___---Important Notes---___ Historical Data: Ensure the chart has enough bars (at least 200 for the 200-day MA) on the higher timeframes (W, M). If there's not enough data, the Golden Cross on those timeframes won't be detected. Performance: Since we're explicitly checking 8 timeframes, this script should be lighter than an array loop, but still performs well on charts with long data sets. Customization: If you'd like to add filters (for example, volume or RSI to confirm the Golden Cross), let me know, and I'll add them! Debugging: If the error persists, copy and paste the error message from PineScript Editor or a screenshot, and I'll help you troubleshoot.
Indicatore Pine Script®
di feriaryawan21
SNR Trend Analyzer Raden (DCMS)Scalping (1M-15M): Use SNR breakout alerts for quick entries, confirming with bullish/bearish trends from the background/labels. Swing Trading (1H-D): Use SNR as stop-loss/take-profit targets, combined with EMA crossovers. Backtesting: Test on assets like BTCUSD, ETHUSD, or stocks on TradingView to optimize parameters. Combination: Add price action confirmation (e.g., pinbars on SNR) for greater accuracy. Observe: - Green lines (S1, S2, ...): Support levels. - Red lines (R1, R2, ...): Resistance levels. - Background: Green (bullish), red (bearish), gray (neutral). - Trend labels: Bullish/Bearish/Neutral above the candlesticks.
Indicatore Pine Script®
di feriaryawan21
Student wyckoff rs symbol/moexRelative Strength Indicator Student wyckoff rs symbol/market v.2 Description The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark. Key Features Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage. Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends. Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength. Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period. Applications Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment. Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders. Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument. Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions. Interpretation Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index). Falling RS: Suggests the first instrument is underperforming. SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance. Settings Instrument 2: Ticker of the second instrument (default: QQQ). SMA Period: Period for the Simple Moving Average (default: 14). Notes The indicator works on any timeframe but requires accurate ticker input for the second instrument. Ensure data for both instruments is available on the selected timeframe for precise analysis.
Indicatore Pine Script®
di StudentWyckoff
Student wyckoff relative strength Indicator cryptoRelative Strength Indicator crypto Student wyckoff rs symbol USDT.D Description The Relative Strength (RS) Indicator compares the price performance of the current financial instrument (e.g., a stock) against another instrument (e.g., an index or another stock). It is calculated by dividing the closing price of the first instrument by the closing price of the second, then multiplying by 100. This provides a percentage ratio that shows how one instrument outperforms or underperforms another. The indicator helps traders identify strong or weak assets, spot market leaders, or evaluate an asset’s performance relative to a benchmark. Key Features Relative Strength Calculation: Divides the closing price of the current instrument by the closing price of the second instrument and multiplies by 100 to express the ratio as a percentage. Simple Moving Average (SMA): Applies a customizable Simple Moving Average (default period: 14) to smooth the data and highlight trends. Visualization: Displays the Relative Strength as a blue line, the SMA as an orange line, and colors bars (blue for rising, red for falling) to indicate changes in relative strength. Flexibility: Allows users to select the second instrument via an input field and adjust the SMA period. Applications Market Comparison: Assess whether a stock is outperforming an index (e.g., S&P 500 or MOEX) to identify strong assets for investment. Sector Analysis: Compare stocks within a sector or against a sector ETF to pinpoint leaders. Trend Analysis: Use the rise or fall of the RS line and its SMA to gauge the strength of an asset’s trend relative to another instrument. Trade Timing: Bar coloring helps quickly identify changes in relative strength, aiding short-term trading decisions. Interpretation Rising RS: Indicates the first instrument is outperforming the second (e.g., a stock growing faster than an index). Falling RS: Suggests the first instrument is underperforming. SMA as a Trend Filter: If the RS line is above the SMA, it may signal strengthening performance; if below, weakening performance. Settings Instrument 2: Ticker of the second instrument (default: QQQ). SMA Period: Period for the Simple Moving Average (default: 14). Notes The indicator works on any timeframe but requires accurate ticker input for the second instrument. Ensure data for both instruments is available on the selected timeframe for precise analysis.
Indicatore Pine Script®
di StudentWyckoff
Pullback Confirma**📈 Pullback Strategy with Candle Confirmation** **🎯 Objective:** Identify ideal entry points during pullbacks in trends, using the simultaneous crossover of two moving averages with candle confirmation. **📊 Indicators Used:** - **Hull Moving Average (HMA):** Period 27 - fast and smoothed average that reduces lag - **Simple Moving Average (SMA):** Period 11 - short-term average for additional confirmation **⚡ Strategy Logic:** **🔹 Conditions for BUY SIGNAL:** 1. **Double Crossover:** Price crosses above both HMA 27 and SMA 11 simultaneously 2. **Pullback:** Price must be near or touching HMA 27 (return-to-average condition) 3. **Confirmation:** On the next candle, it must be a BULLISH candle closing above both averages **🔸 Conditions for SELL SIGNAL:** 1. **Double Crossover:** Price crosses below both HMA 27 and SMA 11 simultaneously 2. **Pullback:** Price must be near or touching HMA 27 3. **Confirmation:** On the next candle, it must be a BEARISH candle closing below both averages **🎨 Chart Visualization:** - **● Blue Circle:** Upward crossover detected (awaiting confirmation) - **● Orange Circle:** Downward crossover detected (awaiting confirmation) - **▲ Green Arrow:** Confirmed buy (after confirmation candle) - **▼ Red Arrow:** Confirmed sell (after confirmation candle) - **Colored Lines:** HMA (blue) and SMA (orange) plotted on the chart **⚙️ Customization:** - Adjustable average periods - Customizable arrow colors - Configurable alerts for each confirmed signal **✅ Advantages:** - **Double Filter:** Two different averages for confirmation - **Candle Confirmation:** Eliminates premature signals - **Intuitive Visual:** Only shows arrows after valid confirmation - **Controlled Pullback:** Operates only on return-to-average movements **⏰ Recommended Timeframe:** Works on multiple timeframes, but particularly effective on M15, H1, and H4 to capture more significant movements. This strategy is ideal for traders looking for precise entries in consolidated trends, minimizing false signals through candle confirmation! 🚀
Indicatore Pine Script®
di digorethka
🚀⚠️ Aggressive + Confirmed Long Strategy (v2)//@version=5 strategy("🚀⚠️ Aggressive + Confirmed Long Strategy (v2)", overlay=true, pyramiding=0, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=10, // % of equity per trade commission_type=strategy.commission.percent, commission_value=0.05) // ========= Inputs ========= lenRSI = input.int(14, "RSI Length") lenSMA1 = input.int(20, "SMA 20") lenSMA2 = input.int(50, "SMA 50") lenBB = input.int(20, "Bollinger Length") multBB = input.float(2, "Bollinger Multiplier", step=0.1) volLen = input.int(20, "Volume MA Length") smaBuffP = input.float(1.0, "Margin above SMA50 (%)", step=0.1) confirmOnClose = input.bool(true, "Confirm signals only after candle close") useEarly = input.bool(true, "Allow Early entries") // Risk atrLen = input.int(14, "ATR Length", minval=1) slATR = input.float(2.0, "Stop = ATR *", step=0.1) tpRR = input.float(2.0, "Take-Profit RR (TP = SL * RR)", step=0.1) useTrail = input.bool(false, "Use Trailing Stop instead of fixed SL/TP") trailATR = input.float(2.5, "Trailing Stop = ATR *", step=0.1) moveToBE = input.bool(true, "Move SL to breakeven at 1R TP") // ========= Indicators ========= // MAs sma20 = ta.sma(close, lenSMA1) sma50 = ta.sma(close, lenSMA2) // RSI rsi = ta.rsi(close, lenRSI) rsiEarly = rsi > 45 and rsi < 55 rsiStrong = rsi > 55 // MACD = ta.macd(close, 12, 26, 9) macdCross = ta.crossover(macdLine, signalLine) macdEarly = macdCross and macdLine < 0 macdStrong = macdCross and macdLine > 0 // Bollinger = ta.bb(close, lenBB, multBB) bollBreakout = close > bbUpper // Candle & Volume bullishCandle = close > open volCondition = volume > ta.sma(volume, volLen) // Price vs MAs smaCondition = close > sma20 and close > sma50 and close > sma50 * (1 + smaBuffP/100.0) // Confirm-on-close helper useSignal(cond) => confirmOnClose ? (cond and barstate.isconfirmed) : cond // Entries confirmedEntry = useSignal(rsiStrong and macdStrong and bollBreakout and bullishCandle and volCondition and smaCondition) earlyEntry = useSignal(rsiEarly and macdEarly and close > sma20 and bullishCandle) and not confirmedEntry longSignal = confirmedEntry or (useEarly and earlyEntry) // ========= Risk Mgmt ========= atr = ta.atr(atrLen) slPrice = close - atr * slATR tpPrice = close + (close - slPrice) * tpRR trailPts = atr * trailATR // ========= Orders ========= if strategy.position_size == 0 and longSignal strategy.entry("Long", strategy.long) if strategy.position_size > 0 if useTrail // Trailing Stop strategy.exit("Exit", "Long", trail_points=trailPts, trail_offset=trailPts) else // Normal SL/TP strategy.exit("Exit", "Long", stop=slPrice, limit=tpPrice) // Move SL to breakeven when TP1 hit if moveToBE and high >= tpPrice strategy.exit("BE", "Long", stop=strategy.position_avg_price) // ========= Plots ========= plot(sma20, title="SMA 20", color=color.orange, linewidth=2) plot(sma50, title="SMA 50", color=color.new(color.blue, 0), linewidth=2) plot(bbUpper, title="BB Upper", color=color.new(color.fuchsia, 0)) plot(bbBasis, title="BB Basis", color=color.new(color.gray, 50)) plot(bbLower, title="BB Lower", color=color.new(color.fuchsia, 0)) plotshape(confirmedEntry, title="🚀 Confirmed", location=location.belowbar, color=color.green, style=shape.labelup, text="🚀", size=size.tiny) plotshape(earlyEntry, title="⚠️ Early", location=location.belowbar, color=color.orange, style=shape.labelup, text="⚠️", size=size.tiny) // ========= Alerts ========= alertcondition(confirmedEntry, title="🚀 Confirmed Entry", message="🚀 {{ticker}} confirmed entry on {{interval}}") alertcondition(earlyEntry, title="⚠️ Early Entry", message="⚠️ {{ticker}} early entry on {{interval}}")
Strategia Pine Script®
di mohammedmagboul
TIKOLE SVM Sentiment Combo Oscillator MACD"This one has MACD and RSI. Accuracy is very good. Best for 5-minute and 15-minute timeframes." The script combines MACD-style histogram with RSI logic. It gives high accuracy signals. Works best on 5-minute and 15-minute charts (scalping + intraday). ⚡MACD (fast EMA / slow EMA) into the same script along with your RSI sentiment oscillator, so you’ll get a dual-confirmation system (RSI sentiment + MACD crossover + histogram).
Indicatore Pine Script®
di bosstvs100
Twin Range Filter StrategyClarity Over Confusion: See price action through a全新的 lens. Watch as erratic, choppy movements are smoothed into a clear, actionable trajectory. The path of least resistance becomes obvious. Confidence Over Hesitation: Receive high-probability entry and exit signals with a proven logic that waits for the market to commit before you do. No more second-guessing. Discipline Over Emotion: Our algorithm enforces a systematic approach, helping you avoid emotional FOMO chasing and panic selling. Stick to the plan and execute with precision. What Can You Expect? Dynamic Adaptability: Unlike static indicators, continuously adapts to volatility. It widens its filter in turbulent markets to avoid whipsaws and tightens it in trending markets to capture more of the move. The Power of Two: By synthesizing data from two distinct market perspectives, it confirms strength and filters out weakness, providing a confluence that standalone indicators simply cannot match. Clean, Unambiguous Signals: We’ve eliminated the clutter. The software provides clear visual alerts (Green Arrows for Long, Red Arrows for Short) right on your chart, telling you exactly when the equilibrium has shifted. Who is this for? Swing Traders looking to capture the heart of a trend and avoid false breakouts. Day Traders needing a reliable filter to navigate volatile intraday action. Systematic Traders seeking a robust logic layer to add to their automated strategy. Anyone overwhelmed by indicator overload and craving a single, trusted source of truth on their chart
Strategia Pine Script®
di mariadigo234233
EMA 20–55 + SMMA50 (20↔55 Band, Alerts, Color Controls)This script plots a customizable EMA ribbon and a smoothed moving average (SMMA). Key features: EMA 20 (blue) and EMA 55 (yellow) highlighted with a green/red background ribbon depending on trend. Optional middle EMAs (25, 30, 35, 40, 45, 50) can be shown or hidden. SMMA (50) plotted in white as a trend smoother. Customizable line colors, band colors, and transparency. Alerts for EMA20/EMA55 bullish or bearish crossovers. Optional candle bar coloring based on trend. This is useful for quickly spotting medium-term trend shifts when EMA20 crosses EMA55, while still tracking the broader EMA ribbon context.
Indicatore Pine Script®
di ssantiago2477
Pivot Matrix & Multi-Timeframe Support-Resistance Analytics________________________________________ 📘 Study Material for Pivot Matrix & Multi Timeframe Support-Resistance Analytics (By aiTrendview — Educational Use Only) ________________________________________ 🎯 Introduction The Pivot Matrix & Multi Timeframe Support-Resistance Analytics indicator is designed to help traders visualize pivot points, support/resistance levels, VWAP, and volume flow analytics all in one place. Rather than giving explicit buy/sell calls, the dashboard provides reference insights so a learner may understand how different technical levels interact in real time. This document explains its functionality step by step with formulas and usage guides. ________________________________________ 1️⃣ Pivot System Logic Pivot points are classic tools for mapping market support and resistance levels. ✦ How Calculated? Using the Traditional Method: • Pivot Point (PP): PP=Highprev+Lowprev+Closeprev3PP = \frac{High_{prev} + Low_{prev} + Close_{prev}}{3}PP=3Highprev+Lowprev+Closeprev • First Support/Resistance: R1=2×PP−Lowprev,S1=2×PP−HighprevR1 = 2 \times PP - Low_{prev}, \quad S1 = 2 \times PP - High_{prev}R1=2×PP−Lowprev,S1=2×PP−Highprev • Second Support/Resistance: R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev)R2 = PP + (High_{prev} - Low_{prev}), \quad S2 = PP - (High_{prev} - Low_{prev})R2=PP+(Highprev−Lowprev),S2=PP−(Highprev−Lowprev) • Third Levels: R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP)R3 = High_{prev} + 2 \times (PP - Low_{prev}), \quad S3 = Low_{prev} - 2 \times (High_{prev} - PP)R3=Highprev+2×(PP−Lowprev),S3=Lowprev−2×(Highprev−PP) • Similarly, R4/R5 and S4/S5 are extrapolated from extended range multipliers. ✦ How Used? • Price above PP → bullish control bias. • Price below PP → bearish control bias. • R1–R5 levels act as resistances; S1–S5 act as supports. Learners should watch how candles behave when approaching R/S zones to spot breakout vs. rejection conditions. ________________________________________ 2️⃣ Multi Timeframe Logic The indicator allows using daily-based pivot values (via request.security). This ensures alignment with institutional daily levels, not just intraday recalculations. ✦ Teaching Value Understanding MTF pivots shows how markets respect higher timeframe levels (daily > intraday, weekly > daily). This helps learners grasp nested support-resistance structures. ________________________________________ 3️⃣ VWAP (Volume Weighted Average Price) Formula: VWAPt=∑(Pricei×Volumei)∑(Volumei),Pricei=High+Low+Close3VWAP_t = \frac{\sum (Price_i \times Volume_i)}{\sum (Volume_i)}, \quad Price_i = \frac{High + Low + Close}{3}VWAPt=∑(Volumei)∑(Pricei×Volumei),Pricei=3High+Low+Close Usage: • VWAP is used as an institutional benchmark of fair value. • Above VWAP = bullish flow. • Below VWAP = bearish flow. Learners should check whether price respects VWAP as a magnet or uses it as support/resistance. ________________________________________ 4️⃣ Volume Flow Analysis The script classifies buy volume, sell volume, and neutral volume. • Buy Volume = if close > open. • Sell Volume = if close < open. • Neutral Volume = if close = open. For daily tracking: Buy%=DayBuyVolDayTotalVol×100,Sell%=DaySellVolDayTotalVol×100Buy\% = \frac{DayBuyVol}{DayTotalVol} \times 100, \quad Sell\% = \frac{DaySellVol}{DayTotalVol} \times 100Buy%=DayTotalVolDayBuyVol×100,Sell%=DayTotalVolDaySellVol×100 Usage for Learners: • Dominant Buy% → accumulation/ bullish pressure. • Dominant Sell% → distribution/ bearish pressure. • Balanced → sideways liquidity building. This teaches observation of order flow bias rather than relying only on price. ________________________________________ 5️⃣ Dashboard Progress Bars & Colors The script uses visual progress bars and dynamic colors for clarity. For example: • VWAP Backgrounds: Green shades when price strongly above VWAP, Red when below. • Volume Bars: More green blocks mean buying dominance, red means selling pressure. This visual design turns concepts into easy-to-digest cues, useful for training. ________________________________________ 6️⃣ Market Status Summary Finally, the dashboard synthesizes all data points: • Price vs Pivot (above or below). • Price vs VWAP (above or below). • Volume Pressure (buy side vs sell side). Status Rule: • If all three align bullish → Status box turns green. • If mixed → Neutral grey. • If bearish dominance → weaker tone. Why Important? This teaches learners that market conditions should align in confluence across indicators before confidence arises. ________________________________________ ⚠️ Strict Disclaimer (aiTrendview) The Pivot Matrix & Multi Timeframe Support-Resistance Analytics tool is developed by aiTrendview for strictly educational and research purposes. ❌ It does NOT provide buy/sell recommendations. ❌ It does NOT guarantee profits. ❌ Unauthorized use, copying, or redistribution of this code is prohibited. ⚠️ Trading Risk Warning: • Trading involves high risk of financial loss. • You may lose more than your capital. • Past levels and indicators do not predict future outcomes. This tool must be viewed as a visual education aid to practice technical analysis skills, not as trading advice. ________________________________________ ✅ Now you have a step by step study guide: • Pivot calculations explained • VWAP with logic • Volume breakdown • Visual analytics • Status confluence logic • Disclaimer for compliance ________________________________________ ⚠️ Warning: • Trading financial markets involves substantial risk. • You can lose more money than you invest. • Past performance of indicators does not guarantee future results. • This script must not be copied, resold, or republished without authorization from aiTrendview. By using this material or the code, you agree to take full responsibility for your trading decisions and acknowledge that this is not financial advice. ________________________________________ ⚠️ Disclaimer and Warning (From aiTrendview) This Dynamic Trading Dashboard is created strictly for educational and research purposes on the TradingView platform. It does not provide financial advice, buy/sell recommendations, or guaranteed returns. Any use of this tool in live trading is completely at the user’s own risk. Markets are inherently risky; losses can exceed initial investment. The intellectual property of this script and its methodology belongs to aiTrendview. Unauthorized reproduction, modification, or redistribution of this code is strictly prohibited. By using this study material or the script, you acknowledge personal responsibility for any trading outcomes. Always consult professional financial advisors before making investment decisions.
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di aiTrendview-Charting-System