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StochRSI Divergence + Double/Triple Tops/BottomsStochRSI Divergence + DT/TT (Scalping) This indicator is a StochRSI-based scalping tool designed to detect divergences, market exhaustion, and structural reversal patterns on lower timeframes. It focuses on confluence and timing, combining oscillator behavior, price structure, and volatility filtering to reduce noise common on M1–M5 charts. How it works Stochastic RSI Tracks short-term momentum and highlights overbought (>80) and oversold (<20) conditions with a fixed 0–100 scale. Confirmed Divergences Uses price pivots to detect: Bullish divergence (price ↓, oscillator ↑) Bearish divergence (price ↑, oscillator ↓) Signals are confirmed only after pivot completion and ATR validation. Double / Triple Top & Bottom Identifies: DB / TB → potential accumulation zones DT / TT → potential distribution zones Tolerance can be adjusted using ATR-based or percentage-based precision. EARLY Mode (for fast scalping) An optional EARLY (possible divergence) mode detects potential reversals before full confirmation: Faster signals for momentum scalpers Anti-spam cooldown to limit noise May repaint (intended as a heads-up, not confirmation) ARM → Entry Trigger Logic EARLY signals can be refined using ARM mode: Setup is armed after an early divergence Entry triggers only after %K / %D cross or crossunder This helps align structure + momentum and avoid premature entries. Visual Signals Divergence lines (confirmed only) Labels: DIV+, DIV− DB, TB, DT, TT BUY / SELL Overbought / Oversold background zones Everything can be enabled or disabled in settings. Best use M1–M5 scalping Reversal & exhaustion setups Entries near support / resistance As a confirmation tool alongside price action or volume ⚠️ Disclaimer EARLY signals may repaint. This indicator does not guarantee profits. Always use proper risk management and confirm signals with market context.
Pine Script® indicator
by advokat88
TomiChoro SPY-OPTIONS 5m//@version=5 indicator("OM SPY A+ Confirm (Fib 1H + Filters)", shorttitle="OM A+", overlay=true, max_labels_count=500, max_lines_count=500) // ══════════════════════════════════════════════════════════════════════════════ // ORIGINAL OptionsMillionaire BASE (mantiene toda la funcionalidad) // ══════════════════════════════════════════════════════════════════════════════ priceSource = input(close, title="Price Source For The Moving Averages", group="General") IgnoreExtendedHours = input(true, title="Ignore Extended Hours", group="General") resolution = timeframe.period price = request.security(syminfo.tickerid, resolution, priceSource) shortMAPeriod = input.int(8, title="Short Moving Average Period & Type:", group="Crossover Moving Averages", inline="short") shortMAType = input.string("EMA", title="", options= , group="Crossover Moving Averages", inline="short") longMAPeriod = input.int(21, title=" Long Moving Average Period & Type :", group="Crossover Moving Averages", inline="long") longMAType = input.string("EMA", title="", options= , group="Crossover Moving Averages", inline="long") i_timeframe_signal = input.timeframe("", title="Crossover MAs Timeframe", group="Crossover Moving Averages") useTextLabels = input.bool(true, title="Use Text-Based Crossover Labels?", group="Crossover Moving Averages") showBonusMA1 = input.bool(true, title="Bonus MA", group="Bonus Moving Averages", inline="bma1") bonusMA1Period = input.int(34, title="", group="Bonus Moving Averages", inline="bma1") bonus1MAType = input.string("EMA", title="", options= , group="Bonus Moving Averages", inline="bma1") i_timeframe_bma1 = input.timeframe("", title="", group="Bonus Moving Averages", inline="bma1") showBonusMA2 = input.bool(false, title="Bonus MA", group="Bonus Moving Averages", inline="bma2") bonusMA2Period = input.int(50, title="", group="Bonus Moving Averages", inline="bma2") bonus2MAType = input.string("SMA", title="", options= , group="Bonus Moving Averages", inline="bma2") i_timeframe_bma2 = input.timeframe("", title="", group="Bonus Moving Averages", inline="bma2") showBonusMA3 = input.bool(false, title="Bonus MA", group="Bonus Moving Averages", inline="bma3") bonusMA3Period = input.int(100, title="", group="Bonus Moving Averages", inline="bma3") bonus3MAType = input.string("SMA", title="", options= , group="Bonus Moving Averages", inline="bma3") i_timeframe_bma3 = input.timeframe("", title="", group="Bonus Moving Averages", inline="bma3") ZLMASmooth = 3 f_security(_sym, _res, _src) => request.security(_sym, _res, _src , barmerge.gaps_off, barmerge.lookahead_off) ticker = ticker.new(syminfo.prefix, syminfo.ticker, IgnoreExtendedHours ? session.regular : syminfo.session) // MA calculation f_ma(_src, _len, _type) => switch _type "SMA" => ta.sma(_src, _len) "EMA" => ta.ema(_src, _len) "WMA" => ta.wma(_src, _len) "HMA" => ta.hma(_src, _len) "ALMA" => ta.alma(_src, _len, 0.85, 6) "LIN" => ta.linreg(_src, _len, 0) "ZLMA" => (2 * ta.wma(ta.wma(_src, _len), ZLMASmooth)) - ta.wma(ta.wma(ta.wma(_src, _len), ZLMASmooth), _len) => ta.ema(_src, _len) short = f_security(ticker, i_timeframe_signal, f_ma(price, shortMAPeriod, shortMAType)) long = f_security(ticker, i_timeframe_signal, f_ma(price, longMAPeriod, longMAType)) bonus1 = f_security(ticker, i_timeframe_bma1, f_ma(price, bonusMA1Period, bonus1MAType)) bonus2 = f_security(ticker, i_timeframe_bma2, f_ma(price, bonusMA2Period, bonus2MAType)) bonus3 = f_security(ticker, i_timeframe_bma3, f_ma(price, bonusMA3Period, bonus3MAType)) // Crossover signals (base) Bull = ta.crossover(short, long) Bear = ta.crossunder(short, long) trendColor = short >= long ? color.new(color.red, 85) : color.new(color.blue, 85) MA1 = plot(short, title="Short Period Moving Average", color=#FF00FF, linewidth=2) MA2 = plot(long, title="Long Period Moving Average", color=#00FF00, linewidth=1) fill(MA1, MA2, color=trendColor, title="Short/Long Divergence Fill") plot(showBonusMA1 ? bonus1 : na, title="Bonus Moving Average 1", color=#FFFF00, linewidth=1) plot(showBonusMA2 ? bonus2 : na, title="Bonus Moving Average 2", color=#0000FF, linewidth=1) plot(showBonusMA3 ? bonus3 : na, title="Bonus Moving Average 3", color=#FFFFFF, linewidth=1) plotshape(Bull, title="Calls Label", color=color.new(color.green, 25), textcolor=useTextLabels ? color.white : color.new(color.white, 100), style=useTextLabels ? shape.labelup : shape.triangleup, text="Call", location=location.belowbar) plotshape(Bear, title="Puts Label", color=color.new(color.red, 25), textcolor=useTextLabels ? color.white : color.new(color.white, 100), style=useTextLabels ? shape.labeldown : shape.triangledown, text="Put", location=location.abovebar) if Bull alert("Call Alert: 8ema crossed over 21ema", alert.freq_once_per_bar_close) if Bear alert("Put Alert: 8ema crossed under 21ema", alert.freq_once_per_bar_close) // -- VWAP -- // showVWAP = input.bool(true, title="Show VWAP?", group="VWAP") vwapSource = input(hlc3, title="VWAP Source", group="VWAP") vwapAnchor = input.string("Session", title="VWAP Anchor Period", options= , group="VWAP") vwapSD1 = input.float(1.00, minval=0, step=0.5, title="Standard Deviation 1", group="VWAP") vwapSD2 = input.float(2.00, minval=0, step=0.5, title="Standard Deviation 2", group="VWAP") vwapSD3 = input.float(3.00, minval=0, step=0.5, title="Standard Deviation 3", group="VWAP") showVWAPSD1Band = input.bool(false, title="Show VWAP Standard Deviation 1?", group="VWAP") showVWAPSD2Band = input.bool(false, title="Show VWAP Standard Deviation 2?", group="VWAP") showVWAPSD3Band = input.bool(false, title="Show VWAP Standard Deviation 3?", group="VWAP") timeChange(period) => ret = 0 if period == "Session" ret := time("D") if period == "Week" ret := time("W") if period == "Month" ret := time("M") if period == "Quarter" ret := time("3M") if period == "Year" ret := time("12M") if period == "Decade" ret := time("12M") % time("120M") == 0 ? 1 : 0 if period == "Century" ret := time("12M") % time("1200M") == 0 ? 1 : 0 ret isNewPeriod = ta.change(timeChange(vwapAnchor)) isFirstBarOfNewPeriod = isNewPeriod and not isNewPeriod var float vwapSum = 0.0 vwapSum := isFirstBarOfNewPeriod ? vwapSource * volume : vwapSource * volume + vwapSum var float volumeSum = 0.0 volumeSum := isFirstBarOfNewPeriod ? volume : volume + volumeSum var float v2Sum = 0.0 v2Sum := isFirstBarOfNewPeriod ? volume * vwapSource * vwapSource : volume * vwapSource * vwapSource + v2Sum mVWAP = vwapSum / volumeSum variance = v2Sum / volumeSum - mVWAP * mVWAP variance := variance < 0 ? 0 : variance standard_deviation = math.sqrt(variance) vwapUpperBand1 = mVWAP + (vwapSD1 * standard_deviation) vwapLowerBand1 = mVWAP - (vwapSD1 * standard_deviation) vwapUpperBand2 = mVWAP + (vwapSD2 * standard_deviation) vwapLowerBand2 = mVWAP - (vwapSD2 * standard_deviation) vwapUpperBand3 = mVWAP + (vwapSD3 * standard_deviation) vwapLowerBand3 = mVWAP - (vwapSD3 * standard_deviation) plot(showVWAP ? mVWAP : na, title="VWAP", color=color.orange, linewidth=1) vwapSD1Plot1 = plot(showVWAPSD1Band ? vwapUpperBand1 : na, title="VWAP SD1 Upper", color=color.gray, linewidth=1) vwapSD1Plot2 = plot(showVWAPSD1Band ? vwapLowerBand1 : na, title="VWAP SD1 Lower", color=color.gray, linewidth=1) fill(vwapSD1Plot1, vwapSD1Plot2, color=color.new(color.gray, 90), title="VWAP SD1 Fill") vwapSD2Plot1 = plot(showVWAPSD2Band ? vwapUpperBand2 : na, title="VWAP SD2 Upper", color=color.gray, linewidth=1) vwapSD2Plot2 = plot(showVWAPSD2Band ? vwapLowerBand2 : na, title="VWAP SD2 Lower", color=color.gray, linewidth=1) fill(vwapSD2Plot1, vwapSD2Plot2, color=color.new(color.gray, 85), title="VWAP SD2 Fill") vwapSD3Plot1 = plot(showVWAPSD3Band ? vwapUpperBand3 : na, title="VWAP SD3 Upper", color=color.gray, linewidth=1) vwapSD3Plot2 = plot(showVWAPSD3Band ? vwapLowerBand3 : na, title="VWAP SD3 Lower", color=color.gray, linewidth=1) fill(vwapSD3Plot1, vwapSD3Plot2, color=color.new(color.gray, 80), title="VWAP SD3 Fill") // ══════════════════════════════════════════════════════════════════════════════ // MÓDULO A+ (Fibonacci 1H + Filtros) // ══════════════════════════════════════════════════════════════════════════════ // Inputs A+ grpAPlus = "═══ A+ Filters (Fib 1H + VWAP + Volume) ═══" enableAPlus = input.bool(true, title="Enable A+ Signals", group=grpAPlus) fibTF = input.timeframe("60", title="Fibonacci Timeframe", group=grpAPlus) pivotLen = input.int(5, title="Pivot Length (1H swing)", minval=1, group=grpAPlus) tolPct = input.float(0.05, title="Fib Zone Tolerance (%)", minval=0.0, step=0.01, group=grpAPlus) volLen = input.int(20, title="Volume SMA Length", minval=1, group=grpAPlus) showFibLines = input.bool(true, title="Show Fib 0.5 & 0.618 Lines", group=grpAPlus) // Pivot detection en 1H f_pivH_1h = request.security(syminfo.tickerid, fibTF, ta.pivothigh(high, pivotLen, pivotLen), lookahead=barmerge.lookahead_off) f_pivL_1h = request.security(syminfo.tickerid, fibTF, ta.pivotlow(low, pivotLen, pivotLen), lookahead=barmerge.lookahead_off) var float lastPH = na var float lastPL = na var int lastPH_seq = 0 var int lastPL_seq = 0 var int seq = 0 seq := seq + 1 if not na(f_pivH_1h) lastPH := f_pivH_1h lastPH_seq := seq if not na(f_pivL_1h) lastPL := f_pivL_1h lastPL_seq := seq // Swing definition var float swingA = na var float swingB = na var bool swingUp = na haveBoth = not na(lastPH) and not na(lastPL) if haveBoth if lastPH_seq > lastPL_seq // Upswing: low → high swingA := lastPL swingB := lastPH swingUp := true else // Downswing: high → low swingA := lastPH swingB := lastPL swingUp := false // Fib levels rng = haveBoth ? math.abs(swingB - swingA) : na var float fib50 = na var float fib618 = na if haveBoth and not na(rng) and rng > 0 if swingUp fib50 := swingB - rng * 0.50 fib618 := swingB - rng * 0.618 else fib50 := swingB + rng * 0.50 fib618 := swingB + rng * 0.618 // Zone check (0.5–0.618 con tolerancia en %) tol = close * (tolPct / 100.0) zoneLow = math.min(fib50, fib618) zoneHigh = math.max(fib50, fib618) inFibZone = haveBoth and not na(zoneLow) and not na(zoneHigh) and (close >= (zoneLow - tol)) and (close <= (zoneHigh + tol)) // VWAP filter vwapCallOk = close > mVWAP vwapPutOk = close < mVWAP // Volume filter volOk = volume > ta.sma(volume, volLen) // A+ conditions AplusCall = enableAPlus and Bull and inFibZone and vwapCallOk and volOk AplusPut = enableAPlus and Bear and inFibZone and vwapPutOk and volOk // Plots plot(showFibLines ? fib50 : na, color=color.yellow, linewidth=1, title="Fib 0.5 (1H)", style=plot.style_circles) plot(showFibLines ? fib618 : na, color=color.orange, linewidth=1, title="Fib 0.618 (1H)", style=plot.style_circles) plotshape(AplusCall, title="A+ CALL", style=shape.labelup, text="A+ CALL", color=color.new(color.lime, 0), textcolor=color.black, location=location.belowbar, size=size.small) plotshape(AplusPut, title="A+ PUT", style=shape.labeldown, text="A+ PUT", color=color.new(color.fuchsia, 0), textcolor=color.white, location=location.abovebar, size=size.small) // Alerts A+ alertcondition(AplusCall, title="A+ CALL", message="A+ CALL confirmed (OM cross + Fib 1H 0.5-0.618 + VWAP + Volume) on {{ticker}} @ {{close}}") alertcondition(AplusPut, title="A+ PUT", message="A+ PUT confirmed (OM cross + Fib 1H 0.5-0.618 + VWAP + Volume) on {{ticker}} @ {{close}}")
Pine Script® indicator
by Tomichoro12
MACD + RSI + EMASTRATEGY LOGIC --- LONG CONDITION --- 1. Trend is Up (Price > EMA) 2. MACD Bullish Crossover (Momentum Starting) 3. RSI is Healthy (Between 50 and 70) - Buyers strong, but not exhausted --- SHORT CONDITION --- 1. Trend is Down (Price < EMA) 2. MACD Bearish Crossover (Momentum Dropping) 3. RSI is Healthy (Between 30 and 50) - Sellers strong, but not exhausted --- EXITS --- Exit Long if RSI gets too hot (> 75) or Trend Reverses Exit Short if RSI gets too cold (< 25) or Trend Reverses
Pine Script® strategy
by abishek_philip24
Vwap Symmetric ChannelVwap Symmetric Channel (VSC) - 高级量价对称回归指标 指标概述： Vwap Symmetric Channel (VSC) 是一款将成交量加权平均价 (VWAP) 与 镜像对称原理 相结合的高级技术指标。它旨在识别市场的极端偏离区间及高胜率的反转区域。不同于依赖标准差的布林带，VSC 通过追踪“资金引力”来锁定价格回归真实成本基准的关键点位。 核心原理： 1、多周期成交量加权 (VWEMA)： 指标中轨 ($P3$) 融合了 4 个不同周期的成交量加权均线（3, 6, 12, 24 周期），反映了市场参与者的真实平均持仓成本。 2、镜像对称轨道： 下轨 ($P5$) 与上轨 ($P9$) 采用镜像算法生成。当价格大幅偏离成本中轴时，通道会迅速张开，形成类似“拉满的橡皮筋”的回归效应。 3、大趋势过滤： 内置 250 日年线 (Yearly Line)，帮助交易者区分当前是牛市回踩还是熊市反弹。 核心信号说明： 买入收钱💰： 当价格在下轨运行超过 5 个周期并强势放量收回轨道时触发。这代表杀跌动能衰竭，是极佳的超跌反转买点。 趋势扩张 (P8)： 红黄双色 K 线标记，代表通道进入剧烈扩张期，通常预示着主升浪的启动。 Vwap Symmetric Channel (VSC) - Advanced Mean Reversion Logic Overview: The Vwap Symmetric Channel (VSC) is a sophisticated technical indicator that combines Volume-Weighted Average Price (VWAP) with Mirror Symmetry to identify extreme market extensions and high-probability reversal zones. Unlike standard Bollinger Bands that rely on standard deviation, VSC tracks the "Gravity of Money" to pinpoint where price is likely to snap back to its true cost basis. Core Mechanics: 1、Multi-Period VWEMA: The core midline ($P3$) is calculated using a dynamic blend of 4 different volume-weighted EMAs (3, 6, 12, 24 periods). This represents the true average holding cost of market participants. 2、Symmetric Mirror Channels: The lower ($P5$) and upper ($P9$) rails are generated through a mirroring algorithm. When the price deviates significantly from its cost basis, the channel expands, creating a "spring-loaded" effect. 3、Long-Term Trend Filter: Integrated with a 250-period EMA (Yearly Line) to ensure you stay on the right side of the macro trend. Key Signals: Buy Signal 💰: Triggered when the price stays below the lower rail for at least 5 bars and then crosses back above it. This signifies the exhaustion of selling pressure and a "V-shaped" recovery. Trend Expansion (P8): A bi-color (Red/Yellow) candle highlight that marks the onset of a parabolic trend expansion. 风险提示 (Risk Warning) This indicator is highly sensitive to volume data. In low-liquidity markets or sideways chop, it may produce premature signals. Always use the 250 EMA filter to avoid "catching a falling knife" in a macro bear market. 本指标高度依赖成交量数据。在低流动性市场或窄幅横盘震荡中，可能会产生过早的买入信号。请务必结合 250 日年线过滤逻辑，避免在大熊市中盲目抄底。
Pine Script® indicator
by william_wq
NPR21 Ultimate Confluence Dashboard v7.0NPR21 ULTIMATE CONFLUENCE DASHBOARD v7.0 Three-Tier Trend Analysis with Dual Layout, Scalper Mode & Heat Gauge Author: NPR21 | Version: 7.0 | February 2026 License: Mozilla Public License 2.0 OVERVIEW The Ultimate Confluence Dashboard (UCD) is a non-overlay trend analysis dashboard that organizes market conditions into three independent trend tiers — LONG, MEDIUM, and SHORT — each using different analytical methods and timeframes. The goal is simple: show you the full picture of what the market is doing right now, across multiple dimensions, in one compact display. Each tier operates independently. LONG TREND uses Linear Regression Channel slopes across Daily, 4-Hour, and 1-Hour timeframes to establish macro directional bias. MEDIUM TREND scores six confluence components (Hull MA, SMI, Pivot Reversals, EMA/WMA Scalper Cross, HOHO Squeeze, and Mobo Bands) for intermediate trend confirmation. SHORT TREND measures five micro-momentum components with a 0-100 Heat Gauge for real-time momentum intensity. When all three tiers agree, you have high-confidence directional bias. When they diverge, you have a built-in warning to exercise caution. The dashboard shows the condition — you decide when and how to trade it. LAYOUT MODES UCD v7.0 offers two display modes you can switch between instantly via a single dropdown in settings. Vertical (Classic) The traditional stacked column layout. All enabled trend sections stack vertically into a single table positioned anywhere on the chart (Top Right, Bottom Left, etc.). Each section has its own independent text size control (tiny through huge) so you can emphasize the sections you watch most. Sections can be collapsed to show only the directional summary or hidden entirely. Horizontal (Thin Strip) A space-saving layout that splits the three trend sections into separate tables arranged across the bottom of the chart. All three tables are the same height (2 rows) for a uniform look. LONG TREND → Bottom Left. Row 0: header and direction. Row 1: Daily, 4-Hour, and 1-Hour trend votes (hidden when collapsed). Content uses extra spacing for a wider footprint that avoids the TradingView logo. MEDIUM TREND → Bottom Center. Row 0: header, direction, score, grade, and HOHO status. Row 1: Hull, SMI, Reversal, Scalper votes, and MOBO status (hidden when collapsed). All cells filled — no empty spaces. SHORT TREND → Bottom Right. Row 0: header, direction, score, grade, and Heat Gauge (merged wide). Row 1: all five component scores plus consensus vote. Score and grade display in separate cells with distinct colors for instant readability. Switching between Vertical and Horizontal is instant — one dropdown, no reconfiguration needed. In Horizontal mode, all three tables share a single unified size control. SIZE CONTROLS Vertical Mode Three independent text size controls — one each for Long Trend, Medium Trend, and Short Trend sections. Each uses a two-tier sizing hierarchy: direction labels and key values display one step larger than detail cells, creating a natural visual emphasis on what matters most. Horizontal Mode One unified Horizontal Strip Size control scales all three bottom tables together. The same two-tier hierarchy applies: headers and direction text are one step larger than component details, so your eye catches the big picture first. WHAT MAKES THIS DIFFERENT Most dashboards show you a wall of numbers or a single composite score. UCD separates trend analysis into three independent tiers that agree, disagree, or show mixed signals — giving you context, not just a number. Key distinctions: Dual layout modes (Vertical column or Horizontal strip) with instant switching. Three independent trend tiers with different analytical methods. Per-section and per-layout independent text size controls. 0-100 Heat Gauge with color-coded temperature zones. Scalper Mode that shifts component weights toward faster signals. Instant Flip detection for rapid directional changes. Letter grades (A+ through C) for quick quality assessment. Five-component consensus voting system. Non-repainting signals across all components. ───────────────────────────────────── LONG TREND TIER Establishes macro directional bias using Linear Regression Channel slopes across three higher timeframes: Daily, 4-Hour, and 1-Hour. When all three timeframes agree on direction, the overall LONG TREND label reflects that consensus. When they disagree, you get a lean direction (LEAN LONG or LEAN SHORT) indicating the weight of evidence rather than unanimous agreement. Direction labels: LONG (all three bullish), SHORT (all three bearish), LEAN LONG (majority bullish), LEAN SHORT (majority bearish), NEUTRAL (no clear majority). The Long Trend tier can be collapsed to show only the direction summary, or hidden entirely if you only trade short-term setups. ───────────────────────────────────── MEDIUM TREND TIER Scores intermediate trend strength by aggregating six independent confluence components, each casting a directional vote. The composite score (0-100) and letter grade reflect how many components agree and how strongly. Components Hull MA Direction — Fast-responding moving average that tracks trend direction with minimal lag. Votes LONG when rising, SHORT when falling. SMI (Stochastic Momentum Index) — Momentum oscillator measuring where price sits within its recent range. Votes LONG above zero, SHORT below. Pivot Reversals — Detects swing high/low pivot points to identify structural trend changes. Votes based on most recent confirmed pivot direction. EMA/WMA Scalper Cross — Fast EMA vs. slow WMA crossover system tuned for shorter-term directional shifts. Votes based on cross direction. HOHO Squeeze — Bollinger Bands inside Keltner Channel detection. When active, indicates a volatility compression that often precedes a significant move. Displays SQUEEZE when active, NEUTRAL when not. Mobo Bands (Momentum Breakout) — Momentum envelope system that identifies breakout conditions. Displays BULLISH, BEARISH, BULL TURN, BEAR TURN, or NEUTRAL based on momentum state. ───────────────────────────────────── SHORT TREND TIER The most granular tier, measuring real-time micro-momentum across five weighted components. Each component produces a directional vote and an individual score. The composite total (0-100) is normalized and graded. Components Momentum (MOM) — Rate of change measurement. Detects whether price momentum is accelerating or decelerating in the current direction. Candle (CNDL) — Multi-bar candle pattern analysis. Reads body-to-wick ratios, engulfing patterns, and directional candle sequences. Trend (TRND) — Micro-trend structure using short-period moving average alignment and price position relative to dynamic support/resistance. Acceleration (ACC) — Second derivative of momentum. Shows whether momentum itself is increasing (ACCEL) or decreasing (DECEL), providing early warning of trend exhaustion. Volume Buy/Sell (VOL) — Analyzes buying vs. selling volume pressure. Votes based on which side is dominant in the current bar sequence. Heat Gauge (0-100) A real-time temperature reading of overall SHORT TREND momentum intensity. The gauge is color-coded by zone: 0-20: ICE (deep blue) — Extreme cold. Momentum is virtually absent. 21-35: COLD (blue) — Weak momentum. Trend is struggling. 36-50: COOL (teal) — Below average. Trend present but not convincing. 51-65: WARM (orange) — Above average. Trend has legs. 66-80: HOT (red-orange) — Strong momentum. High-confidence trend. 81-100: FIRE (red) — Extreme heat. Maximum momentum intensity. Grades A+ (85-100) — Elite setup. All components firing in agreement. A (70-84) — Strong setup. Most components aligned. B (50-69) — Moderate. Mixed signals, use caution. C (0-49) — Weak. Components conflicting, high risk. Consensus Vote All five SHORT TREND components cast a directional vote. The consensus displays as a ratio (e.g., +5/5 means all five vote bullish, -3/5 means three vote bearish). This gives you a quick read on whether the components agree or are split. ───────────────────────────────────── SCALPER MODE Toggle Scalper Mode to shift component weights toward faster-responding signals. In Standard mode, all components contribute equally. In Scalper mode, Momentum and Candle components receive higher weight, making the score more responsive to the most recent 1-3 bars — ideal for MNQ, MES, and other micro futures on 1-5 minute charts. ───────────────────────────────────── INSTANT FLIP DETECTION When the SHORT TREND direction reverses from the previous bar (BULLISH → BEARISH or vice versa), the direction label appends a flip indicator. This flags rapid directional changes that often signal the start of a new short-term move or a failed breakout reversal. ───────────────────────────────────── ALERTS Five built-in alert conditions, all compatible with TradingView's alert system: Instant Bull Flip — SHORT TREND flips to bullish from bearish. Instant Bear Flip — SHORT TREND flips to bearish from bullish. Strong Bullish — Consensus ≥ +3/5 AND score ≥ 70. Strong Bearish — Consensus ≤ -3/5 AND score ≥ 70. A+ Setup — Score ≥ 85 regardless of direction. ───────────────────────────────────── RECOMMENDED USAGE Scalping (1-5 min): Enable all three tiers. Use Horizontal layout for maximum chart visibility. Enable Scalper Mode. Focus on SHORT TREND score, Heat Gauge, and Instant Flips for entries. Use LONG and MEDIUM for directional filter — only take trades in their direction. Day Trading (5-15 min): Enable all three tiers. Either layout works. Standard mode recommended. Use MEDIUM TREND grade as your primary bias filter. Enter on SHORT TREND confirmation when it aligns with MEDIUM. Swing Trading (1H-4H): LONG TREND is your primary filter. MEDIUM TREND for entry timing. SHORT TREND optional — can be hidden or collapsed to reduce noise. ───────────────────────────────────── DISCLAIMER This indicator is a visual analysis tool, not a trading signal generator. It does not produce buy/sell signals and should not be treated as a standalone trading system. All trading decisions are yours. Past performance of any analytical method does not guarantee future results. Use proper risk management on every trade.
Pine Script® indicator
by NPR21
Adaptive Channel Breakout [MarkitTick]💡 This script is a trend-following system designed to identify high-probability breakout opportunities while rigorously filtering out market noise. By synthesizing volatility (ATR), trend strength (ADX), and price extremes (Donchian logic), this indicator attempts to solve the classic problem of false breakouts in ranging markets. It features a regime-detection engine that dynamically adjusts the visual feedback and signal generation based on whether the market is trending or consolidating. ✨ Originality and Utility Most breakout indicators rely solely on price crossing a fixed threshold (like a 20-day High). However, these systems often fail in "choppy" markets where price seeks liquidity above highs before reversing. This script innovates by: Volatility-Adjusted Bounds: It does not simply track the Highest High or Lowest Low. Instead, it retracts the channel bounds by a multiple of the Average True Range (ATR). This creates a "tightened" breakout requirement—price must not only make a new high but do so with enough momentum to overcome the volatility threshold. Regime Filtering: Integrated ADX/DMI logic categorizes the market into Bull, Bear, or Range. Signals are filtered to align with the dominant regime (e.g., no Longs are permitted if the internal structure is Bearish). Logarithmic Scaling: A unique feature allowing calculations to be performed on Logarithmic price data, making it highly suitable for parabolic assets like Crypto or small-cap stocks where linear percentage moves vary drastically. Time-Based Exits: Recognizes that "stale" trades—those that do not perform immediately—often turn into losses, and provides visual cues to exit if momentum stalls. 🔬 Methodology and Concepts The core logic operates on a three-stage pipeline: 1. Market Regime Classification The script utilizes the Directional Movement Index (DMI) and Average Directional Index (ADX) to determine the state of the market. Trending: Defined as ADX > Threshold (default 25). Range: Defined as ADX < Threshold. Direction: Determined by the relationship between DI+ and DI-. 2. Adaptive Channel Construction The channels are calculated using a modified Donchian/ATR hybrid approach: Upper Band: Highest High (N) minus (ATR × Multiplier) . Lower Band: Lowest Low (N) plus (ATR × Multiplier) . Note: By subtracting ATR from the High, the Upper Band acts as a trailing resistance level that gets closer to price as volatility decreases, allowing for earlier entries during volatility squeezes. 3. Signal Generation & Filtering Long Signal: Price crosses over the Upper Band, provided the market is in a Bull or Range regime. Short Signal: Price crosses under the Lower Band, provided the market is in a Bear or Range regime. Stale Exit: If a signal is generated but price fails to reverse or progress significantly within a user-defined bar limit (default 10), a "Time Exit" warning is triggered. 🎨 Visual Guide The indicator is designed for immediate visual interpretation through color-coding and dashboard analytics. ● Channel Bands Upper Line: Represents the dynamic resistance/breakout level. Lower Line: Represents the dynamic support/breakout level. Color Logic: Gray: Indicates the opposing side of the trend (e.g., Upper band is gray during a downtrend). Green: Active Upper Band during a Bullish phase. Red: Active Lower Band during a Bearish phase. ● Background Fills (Market Regime) The space between the channels is filled to indicate the current market state: Green Fill: Bullish Trend (ADX High, DI+ > DI-). Red Fill: Bearish Trend (ADX High, DI- > DI+). Yellow Fill: Range/Accumulation (ADX Low). Breakouts from Yellow zones are often the most explosive. ● Signal Shapes Green Triangle (Below Bar): Valid Long Breakout Signal. Red Triangle (Above Bar): Valid Short Breakout Signal. Orange "X" (Below Bar): Time Exit/Stale Trade. Indicates the trade has not progressed after N bars. ● Dashboard (Top Right) A table displaying real-time metrics: Market Regime: Explicitly states TREND (Bull/Bear) or RANGE. Volatility: Displays the current ATR value. ADX Strength: Shows the ADX value, highlighting it in white if it is above the trending threshold. 📖 How to Use For Trend Following Wait for the background color to transition from Yellow (Range) to Green (Bull) or Red (Bear). This signifies a volatility expansion from a consolidation period. Enter on the corresponding Triangle signal. For Risk Management Stop Loss: The script calculates suggested Stop Losses (SL) based on the opposite channel band. Stale Exits: If you see an Orange "X" appear after entering a trade, consider closing the position or tightening stops, as the momentum impulse has faded. For Crypto/Parabolic Assets Enable the "Use Logarithmic Scale" setting in the inputs. This normalizes the volatility calculations, preventing the bands from becoming too wide during exponential price increases. ⚙️ Inputs and Settings Adaptive Parameters Lookback Length (20): The period for High/Low and ATR calculations. ATR Multiplier (3.2): Determines the width of the channel. Higher values reduce false signals but delay entry. (3.2 is tuned for outlier detection). Use Logarithmic Scale: Toggles math.log() calculations for High, Low, and Close. Filters & Exits ADX Threshold (25): The level at which the market is considered "Trending." Time Exit (Bars) (10): The number of bars allowed for a trade to "work" before being flagged as stale. UI / Dashboard Show Analytics Dashboard: Toggles the on-screen information table. Size: Adjusts the text size of the dashboard (Tiny, Small, Normal). 🔍 Deconstruction of the Underlying Scientific and Academic Framework 1. Outlier Detection Theory The script uses an ATR Multiplier of 3.2. In normal statistical distributions, 3 standard deviations cover 99.7% of data points. While financial markets are leptokurtic (fat-tailed), a multiplier of 3.2 on the ATR effectively acts as an outlier filter. A breach of this band signifies a price movement that is statistically significant relative to recent noise, suggesting a structural shift in supply/demand rather than random variance. 2. Heteroscedasticity Handling By including a Logarithmic option, the script addresses heteroscedasticity—the phenomenon where the variability of a variable is unequal across the range of values. In simpler terms, a $100 move in Bitcoin at $1,000 is different from a $100 move at $60,000. Using log-returns (math.log) ensures the channel width remains proportionally relevant regardless of the asset's absolute price level. 3. Trend Efficiency (ADX) The integration of J. Welles Wilder’s ADX serves as a filter for "Trend Efficiency." Breakout systems suffer drawdown in mean-reverting markets. By mathematically requiring ADX > 25, the model attempts to trade only when the autocorrelation of price changes is positive (trending behavior), thereby increasing the expectancy of the breakout signal. ⚠️ Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® indicator
by MarkitTick
2
Harmonic Frequency Visualizer [BackQuant]Harmonic Frequency Visualizer Overview Harmonic Frequency Visualizer is a cycle-analysis and cross-asset resonance tool that uses a simplified Discrete Fourier Transform (DFT) to measure how strongly specific cycle periods are present in price. It is not a “trend indicator” and it is not trying to predict direction by itself. Its job is to quantify rhythm: which repeating periods (in bars) are currently dominant, whether those cycles are expanding or contracting (phase direction), and whether multiple instruments are sharing the same dominant periods at the same time (resonance). This indicator has two main output modes: Spectrum : a frequency “snapshot” showing amplitude at each tested period for up to five instruments. Spectrogram : a history heatmap showing how the spectrum evolves through time (for the chart instrument). Spectrum Spectrogram On top of that, it produces a Dominant Cycle Oscillator derived from the dominant cycle’s phase, which gives a continuous cycle position metric (peak/trough style zones) without repainting. This is designed for traders who want cycle context the same way they want volatility context: not as a magic signal, but as structure. What “frequency” and “cycles” mean in trading terms A cycle period (say 21 bars) means: “a repeating pattern that tends to complete one full oscillation every 21 bars.” If price contains such a pattern, the DFT will detect a strong correlation between price and a 21-bar sine/cosine wave. Markets do not have perfectly stable periodic motion, but they often show: Mean-reverting swings around value. Trend pulses with pullback cadence. Volatility clustering that creates rhythmic expansions and contractions. Cycle tools are trying to measure those repeating components, and DFT is the standard mathematical way to do it. Where DFT comes from (the core idea) The Discrete Fourier Transform comes from Fourier analysis, a foundational signal processing concept: Fourier’s idea : any sufficiently well-behaved signal can be expressed as a sum of sine and cosine waves at different frequencies, each with: An amplitude (how strong that wave is). A phase (where you are within the wave cycle). In continuous math you get the Fourier Transform. In sampled data (like candles) you use the Discrete Fourier Transform. It converts a time series (price over time) into a frequency description (strength of different cycles). In markets: Time domain: candles and price series. Frequency domain: cycle periods and their strengths. Why sine and cosine, not just sine A sine wave alone cannot represent every phase alignment cleanly. DFT uses both cosine and sine components because together they form an orthogonal basis that can represent any phase shift. You can think of it like this: Cosine component captures “in-phase” alignment with the cycle. Sine component captures “quadrature” (90-degree shifted) alignment. Combining them gives full information: amplitude + phase. Mathematically, a single frequency component can be written as: A * cos(ωt + φ) But DFT estimates A and φ by separately accumulating cosine and sine projections. How this script implements the DFT (and what it is actually measuring) This is not a full-spectrum FFT across every frequency. It is a targeted DFT across a fixed set of cycle periods: Tested periods The script tests 8 predefined periods: 5, 8, 13, 21, 34, 55, 89, 120 These are Fibonacci-like cycle candidates commonly used in cycle/market structure work. The point is not that Fibonacci is magic. The point is that these represent a reasonable spread from short to long rhythms without needing hundreds of frequencies (which would be heavy in Pine). Normalization step (important) Before computing the DFT, the script normalizes the series: mn = SMA(src, lookback) sd = stdev(src, lookback) norm = (src - mn) / sd (if sd != 0) Why normalize: DFT amplitude depends on the scale of the input series. If you compare BTC and TLT raw prices, the magnitude is meaningless. Z-score normalization makes amplitude more comparable across instruments and regimes. So the spectrum is measuring “cyclical structure in standardized deviations,” not raw dollars. Projection onto cosine and sine For each tested period P: ω = 2π / P (angular frequency for that period) Compute: - sCos = Σ(norm * cos(ωk)) - sSin = Σ(norm * sin(ωk)) Interpretation: You are correlating the last window of normalized price with a cosine wave of period P. And also correlating it with a sine wave of period P. If the price has a strong P-bar rhythm, these sums grow in magnitude. Window length detail The script uses: window = min(lookback - 1, 99) So even if lookback is 200, the internal DFT accumulation caps at 100 bars for performance stability. This is a deliberate trade: stable computation in Pine, while still letting you define normalization lookback and overall context. Amplitude computation Once sCos and sSin are computed: raw magnitude = sqrt(sCos² + sSin²) This is the length of the vector (sCos, sSin). That vector length is the standard way to combine the orthogonal components into one strength metric. Then it scales it into a 0–100 “display amplitude”: amp = sqrt(sCos² + sSin²) / lookback * 100 * sensitivity amp is capped to 100 So: Higher amplitude means stronger alignment with that cycle period. Sensitivity is a user control to amplify or damp the display scaling. Important: amplitude here is not a probability, and it is not guaranteed “signal quality.” It is a standardized “how much of that cycle exists in the recent window” metric. Phase computation Phase is computed using atan2(sSin, sCos). That matters because: A simple atan(sin/cos) fails in different quadrants. atan2 correctly resolves the angle from -π to +π. Phase tells you where you are within the cycle: Two cycles can have same amplitude but opposite phase. Phase is what lets you infer “approaching peak vs trough” behavior. Dominant cycle selection The script chooses the dominant cycle as the period with the highest amplitude among the tested periods: domIdx = argmax(amp ) domAmp = max amplitude domPhase = phase at domIdx This dominant cycle is used for: Spectrogram history matrix (chart symbol). Dominant cycle oscillator. Data window outputs (dominant period, oscillator value). Spectrum View: what you see and how to read it In Spectrum mode, the indicator draws a frequency snapshot for up to five instruments. Each instrument gets a spectrum line (or bars/area depending on style) plotted across the 8 periods on the x-axis, with amplitude (0–100) on the y-axis. X-axis meaning Each x position corresponds to a period (5 → 120 bars). You are not looking at “frequency in Hz.” You are looking at “period in bars,” which is more intuitive in trading. Y-axis meaning Amplitude is a scaled measure of how strongly that period is present in the recent normalized data. Higher means stronger. Plot styles Waveform: connects amplitude points into a continuous shape, best for seeing spectrum shape. Bars: draws vertical bars per period, best for quick comparison. Area: similar to waveform but filled toward baseline for emphasis. Dominant peaks and phase direction labels The script highlights dominant cycles per symbol (if enabled): If max amplitude > 20, it labels that peak with the symbol name. If Show Phase Direction is enabled, it appends ▲ or ▼. Phase direction logic: rising = sin(phase) < 0 ▲ means cycle is in a “rising” phase segment ▼ means cycle is in a “falling” phase segment This is not “price will rise now.” It is “the dominant cycle’s instantaneous phase suggests you are on the upward vs downward half of that oscillation.” In real markets, you use this as context, not as a standalone trade trigger. It also draws small ▲/▼ markers on secondary peaks (amp > 15) to show phase direction of other meaningful cycles, giving you a richer picture than “one dominant period.” Resonance Zones: cross-asset harmonic alignment Resonance is where this tool becomes more than a single-chart curiosity. What resonance means here A resonance zone is flagged when at least 3 out of 5 instruments have strong amplitude at the same tested period. Mechanically: For each period i: - Count instruments with amp > 30 - If count >= 3, mark resonance at that period When resonance is detected: A vertical highlight box is drawn behind that period. A ⚡ marker is printed at the top. Interpretation: Multiple assets are expressing a similar cycle length at the same time. This can indicate macro rhythm, shared liquidity timing, or cross-market synchronization. This is especially useful when your instrument set includes: Rates proxy (TLT), commodities (oil, gold), and crypto indices. You can visually spot when markets are “vibrating” together at a shared period. Resonance is not automatically bullish or bearish. It is telling you “cycle length agreement,” which can help with timing models and contextual trade planning. Spectrogram View: frequency over time Spectrum mode is a snapshot. Spectrogram mode adds time evolution. What a spectrogram is A spectrogram is a 2D heatmap where: Rows = different periods (frequency bands). Columns = time history (bars ago → now). Color = amplitude strength. This allows you to see: Which cycles are persistent vs fleeting. When dominant cycle shifts occur (energy moves from one period to another). Cycle regime transitions (short cycles dominating in chop vs longer cycles dominating in trend). How the script builds the spectrogram matrix It maintains a matrix with: NUM_PERIODS rows (8 periods) histBars columns (history length) Each bar: Remove the oldest column. Append the newest amplitude array from chartSpec. So the spectrogram is always a rolling history of the chart symbol’s cycle amplitudes. It does not attempt to store five symbols (too heavy), it focuses on the active chart for time evolution. Heat coloring Amplitude values map to a custom gradient: Low = dark blue Mid = blue/cyan to orange High = yellow This makes dominant energy bands visually obvious. A stable bright band means persistent cycle dominance. Dominant Cycle Oscillator: phase mapped to a 0–100 oscillator The oscillator is derived from the dominant cycle phase (chart symbol): oscRaw = cos(domPhase) oscValue = 50 + 50 * oscRaw (maps -1..1 into 0..100) Interpretation: When cos(phase) ≈ +1, oscillator near 100 (cycle peak zone). When cos(phase) ≈ -1, oscillator near 0 (cycle trough zone). Midline 50 corresponds to the quarter-cycle transition points. It also colors the oscillator by phase direction: oscRising = sin(domPhase) < 0 Rising phase = green-ish Falling phase = red-ish This gives you a clean timing reference: The dominant period tells you the cycle length. The oscillator tells you where you are within that cycle. It is not forecasting price. It is telling you the current phase position of the strongest detected cycle component. Alerts and practical timing usage Alerts are based on the oscillator: Cross above 80: dominant cycle entering peak zone. Cross below 20: dominant cycle entering trough zone. Cross 50: midline cross (phase transition). In practice, you use these as “timing context” alerts, for example: If your trend model is bullish and cycle oscillator enters trough zone, it can hint at a favorable pullback timing window. If you are mean-reversion trading and cycle peak zone aligns with resistance, that confluence matters. Again: cycle timing needs structure confirmation. The oscillator alone is not a trade system. Multi-instrument design and non-repaint behavior The indicator requests five external instruments via request.security. It uses: close with lookahead_on This forces the data to be “previous confirmed close” so the spectral calculations do not repaint intra-bar. That matters because cycle measures can change drastically within a bar if you let them use live values. So: Spectra for external symbols are based on confirmed historical closes. Chart symbol spectrogram and oscillator are also stable in the sense they depend on confirmed series values (dominant phase updates bar-to-bar). Key parameters and how they change behavior Analysis Lookback Affects normalization and the DFT window cap: Higher lookback stabilizes mean/stdev normalization and reduces random shifts. Lower lookback makes the tool more reactive but more prone to regime noise. Because the inner DFT accumulation caps at 100 bars, very high lookback mostly affects normalization rather than the raw projection length. Sensitivity Scales displayed amplitude: Higher sensitivity makes peaks stand out more. Lower sensitivity compresses amplitude. It is a display control, not a physics constant. View Mode Spectrum: cross-asset snapshot comparison, resonance detection. Spectrogram: time evolution of cycle energy for chart symbol. Show Phase Direction Adds ▲/▼ markers derived from sin(phase). Useful for quick cycle position intuition, but do not treat ▲ as “buy.” Show Resonance Zones Marks periods where many instruments share strong energy. Useful for macro rhythm alignment. Highlight Dominant Cycles Labels peaks. If you disable it, the chart becomes cleaner but less informative. Spectrogram History Controls how many columns are stored. Higher makes a longer heatmap but costs more drawing. Limitations and what not to assume This tool is honest DSP applied to market data, but market data is not a stationary sine wave generator. Key limitations: Cycles drift. Dominant period can shift as regime changes. The tool only tests 8 candidate periods. If the true dominant period is 30, it will express as energy near 34 or distributed across neighbors. Normalization helps comparability, but does not make amplitude “absolute truth.” DFT assumes a stable frequency over the window. Markets often violate that. Phase-based oscillators are timing aids, not predictors. This is why the indicator is best used as: Context for entries/exits, not a standalone system. A way to see when cycle energy concentrates or disperses. A way to detect when multiple markets share a timing rhythm. How to use it properly (workflows) 1) Cycle regime identification If short periods (5–13) dominate, market is often choppy, reactive, and mean-reverting. If mid periods (21–55) dominate, market often shows swing structure. If long periods (89–120) dominate, market can be in slower macro drift, trend legs, or compressed volatility regimes. 2) Timing layer for an existing strategy Use your trend model to decide direction. Use dominant cycle oscillator to decide timing within that direction. Use spectrogram to avoid trading when dominant period is unstable or flipping rapidly. 3) Cross-asset confirmation If you see resonance at a period, watch whether your main instrument is also showing strength there. Resonance can justify holding a cycle-based timing thesis with more confidence because it is not isolated. 4) Expectation management If the spectrum is flat (no peaks above threshold), that is information: No clean dominant cycle, randomness dominates. Cycle-based timing will be unreliable. Summary Harmonic Frequency Visualizer uses a targeted Discrete Fourier Transform across predefined cycle periods to measure amplitude and phase of cyclical components in price. It supports multi-instrument spectrum comparison, resonance detection when several markets share strong energy at the same periods, and a spectrogram heatmap for the chart instrument showing how cycle dominance evolves over time. A dominant cycle oscillator maps phase into a 0–100 timing readout with alerts for peak/trough/midline transitions. It is a cycle context engine designed to complement trend, structure, and risk models, not replace them.
Pine Script® indicator
by BackQuant
Out or Under Performance - Ratio Between Two Symbols This Pine Script indicator computes and visualizes the price ratio between the current chart symbol (e.g., XLE) and a benchmark symbol (default: S&P 500), helping traders assess relative performance or strength. Red line: The raw ratio (current symbol's close / benchmark's close), multiplied by a user-defined factor (default: 1.0). Blue line: Simple moving average (SMA) of the ratio over a specified period (default: 20), smoothing the trend. Histogram (green/red bars): Amplified difference between the ratio and its SMA (multiplied by default 5.0), showing positive (green, outperformance) or negative (red, underperformance) deviations for momentum insights. Overlaid line on histogram (green/red/yellow): SMA of the histogram over a specified period (default: 9), colored green if rising (bullish momentum), red if falling (bearish), or yellow if flat. Gray dashed zero line: Reference for histogram neutrality. Overall, it highlights whether the symbol is gaining or losing ground relative to the benchmark, with the histogram and its MA emphasizing short-term shifts in that relative trend.
Pine Script® indicator
by WazDaz
Flash Point ProFlash Point Pro - 闪点超短线极速指标 指标概述： Flash Point Pro 是一款专为超短线交易者和日内玩家设计的动能摆动指标。它基于优化的随机指标-EMA逻辑，通过极短的 4 周期和 5 周期采样，捕捉那些传统 KDJ 或 RSI 无法及时反应的爆发性拐点。 核心底层逻辑： 标准指标通常采样 14 天数据，而 Flash Point Pro 聚焦于过去 4-5 天的波动范围： C1 (快线)： 指数平滑移动平均线，实时追踪价格在短期波动区间内的相对位置。 C2 (慢线)： 经过加权平滑处理，在保持极高灵敏度的同时，过滤掉部分无效噪音。 主要功能与使用技巧： 金叉 (加仓)： 当 C1 上穿 C2 时，触发红色“加仓”标签，代表短期动能转强。 死叉 (卖出)： 当 C1 下穿 C2 时，触发绿色“卖”标签，代表短期冲高回落。 低位买入： 当金叉发生在 40 以下（尤其是 20 附近的超跌区）时，触发白色“买”箭头。 高位减仓： 当死叉发生在 90 以上的超买区时，触发黄色“卖”箭头。 核心优势： 它就像一把“市场手术刀”，在震荡行情中能极度精准地锁定波段的高低点。 风险提示： 信号频发风险： 由于该指标极度灵敏，在窄幅横盘震荡中可能会产生频繁的假信号。 指标钝化： 在极端单边趋势（大涨或大跌）中，指标会长时间在 90 以上或 20 以下滞留（钝化）。建议配合 200 日年线或其他趋势指标使用。 非盈利保证： 指标仅作为决策参考，不构成投资建议。实盘前请务必进行回测，并严格执行止损与仓位管理。 Overview: Flash Point Pro is a high-velocity momentum oscillator specifically engineered for scalpers and day traders. Built on a modified Stochastic-EMA logic, it uses ultra-short lookback periods (4 and 5) to capture explosive turning points and micro-trend shifts that traditional indicators like KDJ or RSI often miss. Core Logic: Unlike standard oscillators that use a 14-period default, Flash Point Pro analyzes price positioning within a 4-5 day volatility window. C1 (Signal Line): A fast-acting EMA tracking the relative position of the price. C2 (Baseline): A weighted smooth EMA that filters minor noise while maintaining extreme sensitivity to reversals. Key Features & How to Use: Golden Cross (Add Position): When C1 crosses above C2, an "Add" (加仓) signal appears. Best used when the overall trend is bullish. Dead Cross (Sell): When C1 crosses below C2, a "Sell" (卖) signal appears. Oversold Buy (Bottom Fishing): A "Buy" (买) arrow triggers when a golden cross occurs below the 40 level (ideally near 20). Overbought Exit: A "Sell" (卖) arrow triggers when a dead cross occurs above the 90 level. Why use it? It acts as a "Market Scalpel," providing precise entry and exit points in range-bound markets. Risk Disclaimer: Lag & Noise: Due to its extreme sensitivity, this indicator may generate "false signals" during sideways consolidation. Trend Overlap: In a strong trending market (parabolic moves), the indicator may stay in the overbought/oversold zone for a long time (Indicator Flattening). It is highly recommended to use it alongside a trend-following indicator (e.g., 200 EMA). Not a Holy Grail: Past performance does not guarantee future results. Always use proper stop-losses and risk management.
Pine Script® indicator
by william_wq
Ehlers Super Smoother Trend Score [BackQuant]Ehlers Super Smoother Trend Score Overview Ehlers Super Smoother Trend Score is a regime and trend-strength indicator built on a signal-processing filter created by John F. Ehlers. Instead of smoothing price with a standard moving average (which is mathematically crude and prone to noise and aliasing), this indicator applies the Ehlers Super Smoother, a Butterworth-style low-pass filter designed specifically for market data. The filtered series is then scored for directional persistence across a configurable lookback window, producing an oscillator-like trend score that measures how consistently the smoothed trend is advancing or deteriorating. This is not a simple “MA slope” tool. It is: A proper low-pass filter (Super Smoother) to reduce noise while preserving structure. A persistence score that converts the filtered trend into a quantitative regime signal. A threshold framework that turns the score into long/short regime transitions with clean state logic. Where the filter comes from (and why it matters) John F. Ehlers is known for applying digital signal processing (DSP) techniques to technical analysis. Traditional moving averages are not designed as proper frequency-selective filters. They blur price, lag heavily, and can introduce distortions, especially when the market contains high-frequency components (noise) near the Nyquist limit (the maximum representable frequency in sampled data). The Super Smoother is derived from a Butterworth low-pass filter design. Butterworth filters are engineered to have a maximally flat passband, meaning they smooth without introducing ripples in the filtered output. In trading terms: Less “wavy” smoothing artifacts than many MA variants. Better suppression of high-frequency noise. Cleaner trend structure for downstream logic. This script implements Ehlers’ recursive coefficient form, giving you a 2-pole (classic) or 3-pole (heavier) filter. What “Super Smoother” actually is The Super Smoother is a recursive IIR filter (Infinite Impulse Response). Unlike an SMA which averages a fixed window of past values, an IIR filter uses feedback from its own prior output values. That matters because it can achieve strong smoothing with less lag for a given “smoothness target.” Conceptually: Input: price series. Output: filtered estimate of the “low-frequency” component (trend structure). Mechanism: combine current input (or pre-filtered input) with previous filter outputs using coefficients derived from a chosen cutoff period. The coefficients (c1–c4) are not arbitrary, they are computed from exponential decay and cosine terms based on the cutoff period. This is what makes it a real DSP filter rather than “just another MA.” 2-pole vs 3-pole behavior 2-pole (classic) A standard Ehlers Super Smoother configuration. It offers a strong improvement over typical MAs in smoothness vs lag balance. 3-pole Adds an additional feedback term (one more prior filtered state). This increases smoothing and noise rejection, but introduces slightly more lag. The advantage is a cleaner structural line, which often improves regime stability when the market is noisy or mean-reverting. Anti-aliasing pre-filter step Before applying the recursive formula, the script averages the current and previous price: avg = (src + src ) / 2 This is a simple but important pre-filter that reduces high-frequency components that can alias into lower frequencies in sampled data. In practice, it helps stop “one-bar spikes” from contaminating the filter output as much. Inputs and what they really control Super Smoother Period (ssPeriod) This is the cutoff period used in the coefficient derivation. It is not the same as “MA length,” but it behaves similarly in that: Lower period = faster response, less smoothing, more sensitivity to noise. Higher period = smoother output, better noise rejection, more lag. Poles Selects filter order: 2 poles = balanced default. 3 poles = smoother, more conservative. Score Lookback Start/End Defines the persistence scoring window. The script compares the current filtered value to many prior filtered values across that range. A longer range makes the score more “confidence-based” and slower to change, while a shorter range makes it more reactive. Thresholds (Long/Short) Turns the score into a regime classification: Long threshold defines when bullish persistence is strong enough to be considered a trend regime. Short threshold defines when persistence has deteriorated enough to signal a bearish transition. How the trend score is computed After filtering, the indicator computes a directional persistence score on the filtered series (not raw price). That distinction matters because you are scoring structure, not noise. Mechanically: For each i in the scoring window: - If filt_now > filt , add +1 - Else add -1 Sum across the window to produce the score. Interpretation: High positive score means the filtered trend is consistently higher than many past points, persistent bullish structure. Low or negative score means the filtered trend is not advancing, or is consistently below prior points, bearish structure. Scores near the middle mean the filtered series is oscillating without clear persistence, chop or transition. This is a persistence metric, not a slope metric. It does not care about one-bar direction, it cares about consistency relative to history. Signal and state logic (why it stays clean) The indicator uses state logic to prevent constant flip-flopping: Long condition: score > long threshold. Short condition: score crosses below short threshold (uses prevScore and current score). That short logic is event-based, it triggers only on the breakdown transition, not on every bar below the threshold. Once a regime is set, it remains until a real threshold event forces change. Signals are plotted only on regime flips: Long marker when signal becomes +1 and prior was -1. Short marker when signal becomes -1 and prior was +1. This is designed for alerts and for clean backtesting interpretation. Visual layers The indicator can be used purely as a panel oscillator or as a structure overlay. Pane Trend Score line, colored by active regime. Optional reference lines at long/short thresholds for fast regime reading. On-chart (optional) Super Smoother line plotted over price, colored by regime. Optional candle painting and background shading to reflect active regime. This lets you treat the filter as a dynamic trend structure line while using the score as the regime classifier. How to interpret it properly 1) The Super Smoother line This is the cleaned trend structure estimate: When price respects the smoother line, trend structure is intact. When price repeatedly chops through it, structure is weak or range-bound. 2) The score This is the quantified persistence of that structure: Rising score implies strengthening trend persistence. Falling score implies deterioration, transition risk, or mean reversion. Score compression often shows consolidation before a regime shift. 3) Threshold regimes Above long threshold: bullish persistence regime, trend-following conditions. Below short threshold: bearish regime transition, defensive or short-biased conditions. Between thresholds: neutral/transition zone, where chop and fakeouts are common. Practical use cases Trend filter Only take long setups when score is above the long threshold. Reduce exposure or avoid trend trades in the neutral band. Treat a breakdown through the short threshold as regime invalidation. Trend quality assessment High score = continuation environment. Moderate score = trend exists but is fragile. Low/negative score = distribution, downtrend, or unstable structure. Trade management Use the Super Smoother line as a structure reference for trailing risk. Use score deterioration as an early warning before full regime flips. Use regime flips as hard exits or bias changes. Tuning guidelines If you want fewer signals and cleaner regimes Increase ssPeriod. Use 3 poles. Increase scoreEnd (longer scoring window). If you want faster reaction Decrease ssPeriod. Use 2 poles. Reduce the scoring window length. Keep in mind: faster settings increase sensitivity to chop. The filter is good, but no filter removes the reality of mean reversion. What makes this different from “just a smoothed MA score” The difference is the filter quality. The Super Smoother is a proper low-pass filter with coefficients derived from DSP principles, designed to suppress high-frequency noise and avoid common smoothing artifacts. Scoring that filtered structure gives you a regime metric that is more stable and more meaningful than scoring raw price or scoring a basic MA that still carries a lot of aliasing and distortion. Summary Ehlers Super Smoother Trend Score combines a DSP-derived Butterworth-style Super Smoother filter with a directional persistence scoring model. The filter provides a clean, low-noise trend structure series, and the score quantifies how consistently that structure is advancing or deteriorating across a defined window. Threshold-based regime logic converts the score into clean trend states and alerts, making it a practical tool for trend filtering, regime detection, and structure-aware trade management.
Pine Script® indicator
by BackQuant
4
Composite CCI-RSI Balance Line⚠️ 请注意！！ 本指标仅供技术分析参考，不构成任何投资建议。市场有风险，入市需谨慎。建议结合成交量（Volume）和关键支撑压力位共同使用。 🚀 简介 本指标是一款融合了改进型顺势指标 (CCI) 与 动态相对强弱指标 (RSI) 的复合型振荡器。它旨在通过双重动量验证，帮助交易者在复杂的市场波动中精准捕捉超买超跌信号，并识别趋势的强弱平衡点。 🛠️ 核心逻辑 加权价格 (TYP)：不同于传统的 (H+L+C)/3，本指标采用了一套特定的条件逻辑来确定波动重心，更贴合K线实体的重心偏移。 改进型 CCI (周期: 36)：通过对长周期 CCI 进行 2 周期的 EMA 平滑处理，过滤了细小的毛刺噪音，重点捕捉中期波段趋势。 动态平衡线 (RSI4)：基于 6 周期 RSI 进行二次加工。当 RSI 处于 50 强弱分界线上方时，引入 1.05 的增益系数，用于放大上涨动能的观察窗口，直观展示多头强弱。 视觉警示系统： 粉色柱：CCI 突破 100 上轨，暗示进入强势超买拉升区。 黄色柱：CCI 跌破 -150 下轨，暗示进入极端超跌区域，存在反弹需求。 红色平衡线：实时监控市场多空平衡状态。 💡 如何使用 抄底机会：当指标出现黄色柱并开始回缩，且平衡线（红色）跌破低位后重新拐头向上，是潜在的超跌反弹信号。 追涨/持仓：当 CCI 处于 100 以上（粉柱） 且平衡线稳步运行在 80 以上时，表明处于强趋势阶段。 风险预警：当 CCI 从高位跌破 100 且平衡线脱离 100 高位向下时，应警惕趋势回调风险。 零轴参考：CCI 在零轴附近的波动可作为多空转换的初步参考。 🚀 Overview The Composite CCI-RSI Balance Line is a sophisticated hybrid oscillator that combines a modified Commodity Channel Index (CCI) with a dynamic Relative Strength Index (RSI). It is designed to provide dual-layer momentum validation, helping traders pinpoint extreme overbought/oversold conditions while maintaining a clear view of the mid-term trend balance. 🛠️ Key Technical Logic 1.Weighted Price (TYP): Unlike the standard $(High + Low + Close) / 3$, this indicator uses a custom conditional logic to determine the "Price Center," which better accounts for candle body positioning and wick rejection. 2.Enhanced CCI (Length: 36): We use a 36-period CCI smoothed by a 2-period EMA. This reduces market noise while maintaining sensitivity to medium-term momentum shifts. 3.Dynamic Balance Line (RSI4): Derived from a 6-period RSI, this line applies a $1.05\times$ multiplier when RSI is above 50. This "amplification" logic makes it easier to visualize bullish strength and potential exhaustion as it approaches the 100 ceiling. 4.Visual Alert System: Pink Columns: Triggered when CCI crosses above 100, signaling a strong bullish breakout/overbought phase. Yellow Columns: Triggered when CCI drops below -150, signaling an extreme oversold condition or a deep "value" zone. Red Balance Line: Acts as the "heartbeat" of the trend, tracking the 50-level pivot and extreme momentum. 💡 Trading Scenarios Mean Reversion (Bottom Fishing): Look for Yellow Columns to appear and then shrink. If the Red Balance Line hooks upward from oversold levels, it suggests a high-probability reversal. Trend Following: When the Pink Columns are active and the Balance Line stays pinned near 100, the market is in a "strong-stay-strong" phase. Exit/Caution: A cross of the CCI back below 100, coupled with the Red Balance Line falling from its peak, often precedes a trend correction or consolidation.
Pine Script® indicator
by william_wq
Volatility IB Strategy v6 cryptoStrategy Overview This is a breakout trading strategy that identifies consolidation periods and trades breakouts from the Initial Balance (IB) range with enhanced stop-loss mechanisms. Core Logic Consolidation Detection: Identifies low-volatility periods using: ADX below threshold (default: 25) Narrow price range (default: <2% over 20 bars) Minimum consolidation duration (default: 5 bars) Initial Balance Definition: Marks the consolidation high/low as IB levels when: Price breaks above/below the range Volume confirms breakout (optional filter) Trade Signals: Long Entry: Close above IB High with volume confirmation Short Entry: Close below IB Low with volume confirmation
Pine Script® strategy
by montekristo78
TitanFlow: GCF Momentum Matrix & Dual-EMA Trend System🚀 Overview TitanFlow is a professional quantitative system engineered for precision swing trading. It adopts a "Momentum-First, Trend-Filtered" approach, combining a high-sensitivity GCF Momentum Matrix (for timing) with a robust Dual-EMA Trend State Machine (for direction). Unlike standard indicators, TitanFlow includes an Enterprise-Grade Alert Infrastructure, capable of pushing complex signal data (Price, Ticker, Timeframe, Action) directly to your email or 3rd-party webhook for automation. 1️⃣ Engine A: GCF Momentum Matrix (The Trigger) (Located at the Bottom-Right Dashboard) This is the primary signal generator. It scans 13 Timeframes (1m to 1Mo) simultaneously for momentum exhaustion. 🔴 Buy (Red Cell): A "Bottom" signal. Bearish momentum is exhausted. 🟢 Sell (Green Cell): A "Top" signal. Bullish momentum is exhausted. Usage: Look for vertical confluence (e.g., 15m + 1H + 4H all Red) for high-probability reversals. 2️⃣ Engine B: LH Dual-EMA Channel (The Filter) (Located at the Top-Right Dashboard) We use a Dual-Band System (Short-term 24/23 vs. Long-term 89/90) to visualize the macro trend structure. 🎨 Visual Trend Coloring: Red Band: Trend is rising (Bullish). Green Band: Trend is falling (Bearish). (Avoid buying when bands are Green). 🏆 The "Golden Alignment" Strategy: High Win Rate Setup: The best "Buy" signals occur when the Short-term Band (24) is positioned ABOVE the Long-term Band (89). Why? This confirms a healthy Bull Market structure. Any 🟣 Rebuy or GCF Buy signal during this phase has a statistically higher success rate. 3️⃣ The 5 Market States (1H Timeframe) The system classifies price action into 5 color-coded states (matching the dashboard and chart icons): 🟡 Observe: Volatility expansion. 🔴 Entry: Short Band crosses above Long Band (Golden Cross). 🟣 Rebuy: Price retraces to the Short Band but holds structure (Best Risk/Reward). 🟢 TP: Volatility climax. 🔵 Exit: Short Band crosses below Long Band (Death Cross). 🔔 Enterprise-Grade Alert System This is not just a visual indicator; it is a complete signal broadcaster. We have integrated ALL logic (GCF + LH States) into a single, powerful alert mechanism compatible with automated trading bots. Visual Email Format: Alerts are formatted with Large Headers 【 1H 】 and color-coded Emojis (🔴/🟢/🟡) for instant readability and clear visual distinction. JSON Payload: Every alert contains a machine-readable DATA_START...DATA_END block with strict JSON data (ticker, price, action, tf), ready for developer integration. ⚠️ Important: Optimization GCF Alerts: Configurable for ANY timeframe (1m to 1Mo). LH Channel Alerts: Optimized for the 1-Hour (1H) Timeframe. Why? The Trend State Machine is mathematically tuned for 1H swing trading. We restrict channel alerts to this timeframe because lower timeframes (e.g., 5m/15m) contain excessive market noise, which significantly reduces signal accuracy. Disclaimer: Invite-Only script. DM for access. (Trading involves risk. Past performance is not indicative of future results.) 🚀 **Ready to automate your trading?** ⚠️ **ACCESS INSTRUCTION / 获取方式** ⚠️ Due to TradingView rules, I cannot post links here. Please look at the **SIGNATURE** section at the very bottom of this post 👇 1️⃣ Scroll down to the **Signature**. 2️⃣ Click the link to get your **7-Day Free Trial**. 3️⃣ Or **DM me** "TitanFlow" for manual access. -------------------------------------------------------------------------------------------------- 🚀 核心概览 TitanFlow 是一套专为精准波段交易设计的专业量化系统。 它采用“动量优先，趋势过滤”的策略，结合了高灵敏度的 GCF 动量矩阵（负责择时）与稳健的 双均线趋势状态机（负责择向）。 不同于普通指标，TitanFlow 内置了 企业级警报基础设施，能够将复杂的信号数据（价格、代码、周期、动作）直接推送到您的邮箱或第三方 Webhook，实现自动化交易。 1️⃣ 引擎 A：GCF 动量矩阵 (核心触发器) (位于右下角看板) 这是您的主要信号源。它同时扫描 13 个时间周期 (1分钟~1月) 的动能衰竭点。 🔴 Buy (红格): 底部信号。空头动能耗尽，潜在反转。 🟢 Sell (绿格): 顶部信号。多头动能耗尽，潜在回调。 用法: 寻找垂直共振（例如：15分钟 + 1小时 + 4小时 同时显示红色）以获取高胜率反转机会。 2️⃣ 引擎 B：LH 双均线通道 (趋势过滤器) (位于右上角看板) 我们使用 双均线系统 (短周期 24/23 vs 长周期 89/90) 来可视化宏观趋势结构。 🎨 视觉变色机制: 红色带: 均线向上发散 (多头趋势)。 绿色带: 均线向下发散 (空头趋势)。(当通道显绿色时，应避免做多)。 🏆 "黄金排列" 核心策略: 高胜率形态: 最佳的买入机会，发生在 短周期均线 (24) 明确位于 长周期均线 (89) 之上 的时候。 原理解析: 这确认了当前处于健康的牛市结构。在此阶段出现的任何 🟣 Rebuy (接回) 信号或 GCF Buy (买入) 信号，其统计学胜率都极高。 3️⃣ 5 种市场状态 (1小时级别) 系统将价格行为分类为 5 种状态（图标颜色与看板完全对应）： 🟡 Observe (观察): 波动率扩大。 🔴 Entry (买入): 短周期上穿长周期 (金叉确认)。 🟣 Rebuy (接回): 价格回调至短周期均线处企稳 (最佳盈亏比位置)。 🟢 TP (止盈): 波动率高潮。 🔵 Exit (了结): 短周期下穿长周期 (死叉离场)。 🔔 全功能集成警报系统 这不仅仅是一个可视化的指标，更是一个完整的信号广播站。 我们将 所有逻辑 (GCF 动量 + LH 状态) 集成到了一个强大的警报机制中，完美支持自动化交易机器人。 可视化邮件格式: 警报内容包含 大号标题 【 1H 】 和彩色 Emoji (🔴/🟢/🟡)，视觉层次分明，一眼即识。 JSON 数据载荷: 每条警报都包含机器可读的 DATA_START...DATA_END 数据块，内含严格的 JSON 格式 (ticker, price, action, tf)，方便开发者进行二次开发。 ⚠️ 重要提示：周期优化 GCF 警报: 支持任意周期 (1分钟~1月) 的全天候监控。 LH 通道警报: 专为 1小时 (1H) 级别调优。 原因: 趋势状态机算法是针对 1H 波段交易进行数学优化的。我们将通道警报锁定在此周期，是因为 低于 1小时的周期（如 5分钟/15分钟）包含过多的市场噪音，会导致信号准确率下降。 权限获取: 仅限邀请 (Invite-Only)。如需试用请私信。 (投资需谨慎) 🚀 **想要自动化您的交易吗？** ⚠️ **重要提示** ⚠️ 受限于平台规则，此处无法直接展示链接。 请下滑至本页面最底部的 **“签名档 (Signature)”** 区域 👇 1️⃣ 下滑找到 **签名档**。 2️⃣ 点击链接领取 **7 天免费试用**。 3️⃣ 或直接 **私信** 发送 "TitanFlow" 给我。 👇 **LINK IN SIGNATURE / 链接在签名档** 👇
Pine Script® indicator
by vicsun0425
Volume Spike + RVOL (Scalping Optimized)Volume Spike + RVOL + Delta Indicator - Pro Scalping Edition Advanced volume analysis tool combining three powerful metrics to identify high-probability scalping opportunities on 5m-15m timeframes. What It Does: Detects volume spikes above average (customizable threshold) Measures Relative Volume (RVOL) to confirm unusual activity Calculates Volume Delta to show buying vs selling pressure Filters out false signals by requiring ALL three conditions to align Signal Types: 🟢 BUY Signal = Volume spike + High RVOL + Positive Delta (buyers winning) 🔴 SELL Signal = Volume spike + High RVOL + Negative Delta (sellers winning) 🟡 WEAK Signal = Volume spike + High RVOL + Neutral Delta (skip - no clear direction) Key Features: Real-time info table showing: Volume, RVOL, Delta %, Pressure direction, Signal status Color-coded volume bars (green=buy, red=sell, yellow=weak, gray=normal) Visual delta line (green=accumulation, red=distribution, orange=neutral) Background highlighting for strong signals Built-in alerts for all signal types Fully customizable thresholds and colors Default Settings (Optimized for Scalping): Volume MA: 12 periods Spike Threshold: 1.5x average RVOL Threshold: 1.5x Delta Period: 20 bars Delta Threshold: 30% Why It Works: Volume Delta separates REAL breakouts from fake-outs. A volume spike alone doesn't tell you if it's buying or selling. This indicator shows WHO is winning the battle - giving you directional confidence before entering trades. Best Used With: 5-15 minute charts for scalping Trending markets (avoid choppy/sideways) Combine with support/resistance levels Use alongside trend indicators (EMA, MACD, etc.) Perfect for day traders and scalpers who need fast, accurate signals with minimal false positives!
Pine Script® indicator
by el1live
MA Spread & Rank ConvergenceMA Spread & Rank Convergence (MASRC) ◆ Overview (Overview) This indicator is designed to track the spread and convergence process between five moving averages (SMA) with different periods to capture the end of trend reversal and adjustment. Rather than just looking at the position of the price, it quantifies how far the short-term moving averages are (overbought/over-selling) versus the long-term moving averages and filters the entry point through the signal line. ◆ Key Features Calculate multi-movement average spacing: Use five multiples of criterion length (SMA) to measure the level of expansion of the market. Dynamic signal line: A signal line using EMA detects when separation decreases (convergence) after reaching its peak. Top 30% rank filter (Approval Line): Rather than simply decreasing the separation, only signals from sufficiently high variability (top 30%) intervals are considered valid to eliminate noise. ◆ How it works Calculate Max Spread: Calculate the maximum value of the absolute distance from the remaining bifurcations based on SMA 5, the longest bifurcations. Convergence detection: When the calculated separation value crosses the signal line (EMA), the variability is reduced and the trend is judged to be aligned. Trend filtering: Long: When the separation converges, if the short-term bifurcation (SMA 1) is below the long-term bifurcation (SMA 5), we believe it is a rebound after oversold. Short: When the separation converges, if the short-term bifurcation (SMA 1) is above the long-term bifurcation (SMA 5), it is judged as an adjustment after overbought. ◆ Settings Guide Criteria Length: Default unit for this horizontal cycle (default 15, maximum 300) Signal Length: The period of time to average the separation; the larger the value, the more conservative the signal is. ◆ Precautions (Disclaimer) This indicator has both a Mean Reversion tendency and a trend-following tendency to find a point where the separation is resolved in the section where the trend bursts strongly. Therefore, it is most effective to use it in pressed necks or excessive deviation sections after a clear trend is formed rather than lateral security.MA Spread & Rank Convergence (MASRC)
Pine Script® indicator
by TradingFactory_
MTF v5 Market Force Engine UAE-TRADERMTF v5 Market Force Engine An institutional-grade multi-timeframe market strength engine designed for scalpers and active intraday traders. MTF v5 integrates trend, liquidity, volatility, and structural analytics into a unified strength model, delivering a real-time directional score mapped directly onto price using projection. Core Engine Components • Trend Momentum • Liquidity & Delta Flow Analysis • Volume Expansion Detection • Structural Pivot Mapping • Volatility Regime • Distribution / Absorption Risk Model The engine generates a dynamic strength score (-100 to +100), identifies higher-timeframe bias alignment (1/5/15), and provides precision scalp signals when liquidity, momentum, and structural conditions synchronize. Built-In Intelligence • Multi-timeframe alignment model • Momentum flip detection • Probability-based bias display • Smart scalp entry labeling • Integrated alert system Multi-Language Support The dashboard, signals, and alerts are available in: • Arabic (AR) • English (EN) • Russian (RU) • German (DE) • Chinese (ZH) • Japanese (JA) This tool is designed as a professional decision-support framework for disciplined traders. Risk management and proper position sizing remain essential. Created by Zayed • UAE-TRADER
Pine Script® indicator
by Zayed11
Gold/Spread AlgoXAUUSD 1-Minute RSI Scalping Strategy – Mean-Reversion with Fixed Exits This open-source strategy is a high-frequency, counter-trend scalping system designed specifically for **XAUUSD (Gold)** on the 1-minute timeframe. Core Logic The strategy uses classic RSI(14) to identify short-term overextension: - Long entry when RSI drops below oversold (default 30) → expects quick snap-back - Short entry when RSI rises above overbought (default 70) → expects quick pullback Entries are taken only when flat (no pyramiding). Exits are fixed in pips and set immediately on entry: - Take Profit: +10 pips (0.10 in XAUUSD price) - Stop Loss: –5 pips (0.05 in XAUUSD price) - Built-in Risk:Reward = 1:2 This fixed structure gives the system positive mathematical expectancy even with moderate win rates (≈55–65% before costs), provided gold continues to exhibit frequent mean-reversion behavior on 1-minute charts. Why this simple approach? Gold is one of the most volatile and momentum-driven instruments on very short timeframes. Pure RSI extremes often capture quick exhaustion moves after news spikes, order flow imbalances, or session transitions — especially during London/NY overlap. Fixed pip targets prevent over-optimization and mimic real broker execution more closely than dynamic trailing or percentage-based exits. Important Realism & Backtesting Notes To produce non-misleading results, use these settings when publishing/testing: - Initial Capital: $10,000 – $30,000 (realistic retail size) - Position sizing: fixed 0.10–0.30 lots or 1–3% equity per trade - Commission: 5–8 USD round-turn per lot (typical ECN/raw-spread) - Slippage: 3–8 ticks (≈0.03–0.08 in price) — gold spreads widen during volatility - Minimum dataset: 12–36 months of 1-minute data (aim for 800–2000+ trades) - Risk per trade: usually 0.5–1.5% with defaults — never exceeds sustainable levels Results vary significantly: - Strongest in ranging or mildly trending sessions - Weaker during strong directional moves or major news (NFP, FOMC, geopolitics) - Expect drawdowns during trending regimes — this is NOT a trend-following system Visual & Dashboard Elements - RSI line + fill (blue/orange background) + overbought/oversold zones - BUY/SELL triangles at entry points - Professional top-right dashboard showing: - Net Profit & Loss - Total Trades / Win Rate / Profit Factor - Winning / Losing Trades - Current RSI value - Position status (LONG / SHORT / FLAT) - TP:SL ratio Alerts - 🟢 LONG ENTRY – RSI oversold - 🔴 SHORT ENTRY – RSI overbought How to Use 1. Apply to XAUUSD 1-minute chart only 2. Use realistic commission/slippage in Strategy Tester 3. Trade primarily during London & New York sessions for best liquidity 4. Avoid major news events or widen stops manually 5. Forward-test on demo for 2–3 months minimum 6. Always size conservatively — never risk more than 1–2% per trade Publish Recommendation - Use a clean chart: only this strategy, no extra indicators/drawings - Show realistic tester results with commission/slippage applied - Screenshot during active session with visible entry signals + dashboard Educational tool — open-source for learning and testing. Not financial advice. Gold 1-minute trading is extremely volatile and carries high risk of loss. Trade responsibly.
Pine Script® strategy
by uzair2join
Capital Rotational Event CRE As A Multi Pair ScannerCapital Rotational Event (CRE) – Multi Pair Rotation Scanner This open-source, non-overlay indicator scans for **capital rotation signals** across one lead/benchmark asset and up to four receiver/target assets simultaneously. It detects when capital appears to be rotating **into** one or more of the receiver assets relative to the lead asset — a classic macro/rotation concept used in intermarket analysis. Core Concept In regime-shifting or macro-driven markets, money flows between asset classes or correlated instruments (risk-on → risk-off, equities → bonds, growth → value, etc.). When one asset class starts consistently outperforming another — and that outperformance is accelerating — it can signal a change in investor preference, risk appetite, or sector leadership. This scanner visualizes that rotation in real time by calculating relative strength + momentum for multiple pairs at once. How It Works 1. User selects: - One Lead/ Benchmark asset (default: SPY – equities proxy) - Up to four Receiver assets (defaults: GLD, TLT, USO, XLE) 2. For each receiver pair: - Relative Strength (RS) = SMA( Receiver Close / Lead Close , RS Length ) - RS Momentum = SMA( change(RS) , Momentum Length ) 3. Rotation Signal per pair: - Bullish CRE (+1): RS > its own SMA **and** RS momentum > 0 → Receiver outperforming Lead **and** the outperformance is accelerating - Bearish CRE (-1): RS < its own SMA **and** RS momentum < 0 → Receiver underperforming Lead **and** the underperformance is accelerating - Neutral (0): otherwise 4. Visual Output: - Four separate lines (green, blue, orange, purple) showing CRE signal for each receiver → +1 = bullish rotation into that asset → -1 = bearish rotation away from that asset → 0 = no clear rotation - Background tint: light green when **at least one** receiver shows bullish CRE (+1) Why this multi-pair scanner? - Single-pair RS tools only show one relationship at a time. - Monitoring multiple receivers simultaneously reveals **which** asset class or sector is currently receiving capital flows — very useful for macro traders, sector rotation strategies, or risk-on/off positioning. - The momentum filter reduces lag and false signals compared to raw RS crossovers alone. Typical Use Cases - Risk-on/Risk-off: SPY (lead) vs GLD + TLT + USO (safe havens/commodities) - Sector leadership: SPY vs XLE (energy) + XLK (tech) + XLV (healthcare) + XLF (financials) - Macro themes: SPY vs TLT (equities vs bonds), DXY vs GLD, etc. - Timeframes: Daily/weekly for macro swings, 4h/1h for tactical rotations How to Use 1. Apply to any chart (timeframe of your choice — the indicator is timeframe-agnostic). 2. Set your preferred Lead asset and up to 4 Receivers in the inputs. 3. Adjust RS Length (default 14) and Momentum Length (default 9) to match your horizon. 4. Interpretation: - Green line above zero → capital rotating into that receiver - Multiple green lines rising → strong multi-sector rotation - Light green background → at least one bullish rotation detected - Use in combination with price action on the actual assets — this is a relative bias tool, not a direct trade signal. 5. Best in trending or regime-shifting markets; less useful when all assets move in strong correlation. Inputs - Lead Asset: benchmark (default SPY) - Receiver 1–4: assets to monitor rotation into (defaults GLD, TLT, USO, XLE) - RS Length: smoothing for relative strength (default 14) - Momentum Length: smoothing for RS change (default 9) Publishing Recommendation - Publish with a clean chart (e.g., daily or 4h SPY, or any index/ETF) - The indicator is non-overlay — it plots in a separate pane below price - No other indicators needed for basic use This script is fully open-source for transparency and learning. It highlights relative rotation patterns — not guaranteed future performance. Trading and investing involve significant risk of loss. Feedback welcome — especially suggestions for other useful receiver pairs!
Pine Script® indicator
by uzair2join
xqwe's Oscillator V3.1 xqwe's Oscillator V3.1 - Professional Multi-Dimensional Trading System 🎯 Overview xqwe's Oscillator V3.1 is a premium, all-in-one technical analysis suite designed for serious traders who demand precision, versatility, and actionable signals. This advanced indicator combines cutting-edge oscillator technology with intelligent market analysis to give you a complete edge in any market condition. Whether you're day trading, swing trading, or managing long-term positions, this powerful tool adapts to your trading style and provides crystal-clear signals when opportunities arise. ✨ What Makes This Indicator Unique? Unlike basic oscillators that only show you one perspective, xqwe's Oscillator V3.1 integrates multiple professional-grade analytical engines into a single, streamlined interface. You get institutional-quality analysis without the complexity of running dozens of separate indicators. Key Advantages: ✅ Multi-layered confirmation - Never rely on just one signal again ✅ Adaptive to all market conditions - Works in trending, ranging, and volatile markets ✅ Clean visual design - No chart clutter, just actionable insights ✅ Fully customizable - Tune every parameter to match your strategy ✅ Real-time alerts - Never miss a setup with comprehensive alert system 🛠️ Core Components 📊 Advanced WaveTrend System The heart of the indicator featuring a sophisticated oscillator that identifies market cycles with remarkable precision. This isn't your standard WaveTrend - it includes: 15+ smoothing algorithms for optimal noise reduction Intelligent reversal detection at extreme levels Histogram visualization showing momentum shifts Signal line crossovers for entry/exit timing Customizable overbought/oversold thresholds 🌊 Dynamic Momentum Engine Track market momentum with institutional-grade precision: Real-time momentum strength measurement Squeeze Detection - Know exactly when the market is coiling for explosive moves Bollinger Band / Keltner Channel integration Breakout signal arrows Multiple display modes (columns, area, histogram) Signal line for confirmation 〰️ Elliott Wave Oscillator Module Harness the power of wave analysis: Dual moving average differential calculation Self-adjusting dynamic bands Long and short signal generation Strength threshold filtering Optional background and bar coloring Works with 13+ moving average types 🎯 Expert Trend Locator (XTL) Professional trend identification system: Precision trend detection algorithm Clear visual bar coloring Customizable sensitivity levels Instant alerts on trend changes Multiple calculation methods Works across all timeframes 🔍 Intelligent Divergence Scanner Automatically detects high-probability reversal setups: Regular divergences (classic reversal signals) Hidden divergences (trend continuation patterns) Fully automatic detection with visual plotting Customizable lookback periods Color-coded divergence lines Works with any enabled oscillator component 💎 Premium Features 🎨 Visual Customization 5 Background highlighting modes - Midline Cross, Extremities, Reversions, Slope, or None Dark theme support for reduced eye strain Customizable colors for every element Multiple chart styles - Choose what fits your workflow Symbol comparison - Overlay analysis from different markets 🔔 Comprehensive Alert System Never miss a trade opportunity: Bullish and bearish signal alerts Trend change notifications Divergence detection alerts Squeeze release warnings Custom alert message templates with variables Configurable alert frequency ⚙️ Advanced Settings Fine-tune the indicator to your exact specifications: 15+ moving average types including JMA, KAMA, T3, ALMA, VAMA 12+ price source options including VWAP variants Adjustable periods for every component Independent enable/disable for each module Threshold customization Signal filtering options 📈 How Traders Use This Indicator For Day Traders: Quick reversal signals on lower timeframes Momentum confirmation for scalps Squeeze detection for high-probability breakouts Real-time visual feedback For Swing Traders: Divergence analysis for major reversals Trend identification for position alignment Multi-timeframe signal confirmation Clear entry and exit visualization For Position Traders: Long-term trend detection Major reversal warnings Market structure analysis Reduced noise on higher timeframes 🎓 What You Get ✅ Complete indicator file ready to install on TradingView ✅ All features unlocked - No limitations, no hidden upgrades ✅ Works on all markets - Stocks, Forex, Crypto, Futures, Options ✅ All timeframes supported - From 1-minute to monthly charts ✅ Lifetime access - Use forever on your account ✅ Regular updates - As TradingView evolves, so does the indicator 🔧 Technical Specifications Script Version: Pine Script v5 (Latest) License: Mozilla Public License 2.0 Performance: Optimized for fast calculation Compatibility: All TradingView plans Markets: Universal (Stocks, Forex, Crypto, Commodities, Indices) Timeframes: All (1m to 1M) ⚡ Quick Setup Install - Add to your TradingView chart with one click Configure - Choose which modules you want active Customize - Adjust colors and parameters to your preference Trade - Start receiving high-probability signals immediately The indicator comes with optimized default settings that work great out of the box, but every parameter can be adjusted for your specific trading style. 🎯 Perfect For: Active traders seeking multi-dimensional analysis Traders who want professional-grade tools Anyone tired of cluttered charts with multiple indicators Traders looking for high-probability setups Both beginners (use defaults) and advanced traders (deep customization) 📊 Display Options Choose exactly what you want to see: Enable/disable any component independently Show or hide signal lines Toggle background coloring Customize symbol characters Adjust transparency and colors Clean, professional appearance ⚠️ Important Notes This indicator is a technical analysis tool designed to assist trading decisions Past performance does not guarantee future results Always use proper risk management Combine with your trading strategy and analysis Test on historical data before live trading 🏆 Why Choose xqwe's Oscillator V3.1? Instead of running 5-10 separate indicators and trying to interpret conflicting signals, get everything you need in one powerful, professionally designed package. Save time, reduce confusion, and trade with confidence. This is not just another oscillator - it's a complete trading system. 📞 Support Issues or questions? The code is well-commented and organized for easy understanding and modification to suit your specific needs. Or if u want to talk then here is the my Telegram Link : t.me 🔐 License & Usage © xqweasdzxcv - All Rights Reserved This indicator is provided under the Mozilla Public License 2.0. Unauthorized redistribution, reselling, or claiming authorship is strictly prohibited. Transform your trading today with xqwe's Oscillator V3.1 - Where precision meets simplicity.
Pine Script® indicator
by xqweasdzxcv
Capital Rotational Event (CRE)Capital Rotational Event (CRE) – Inter-Asset Rotation Detector This open-source, non-overlay indicator identifies potential **capital rotation events** between two user-selected assets by combining: 1. Relative Strength (RS) — measures how one asset is performing compared to another 2. Momentum of that RS line — detects acceleration or deceleration in the relative outperformance The goal is to highlight periods when capital appears to be rotating **into** or **out of** the second asset (e.g., from stocks → gold, equities → bonds, risk-on → risk-off, etc.). Core Concept In macro-driven or rotational markets, money often flows between asset classes or correlated instruments. When one asset starts consistently outperforming another (and the outperformance is accelerating), it can signal a shift in investor preference, risk appetite, or sector leadership. This script uses a smoothed relative strength ratio + its momentum to create a simple, objective filter for these rotational shifts. How It Works 1. Fetches closing prices of two symbols: - Asset #1 (lead/default: SPY) – the reference/benchmark - Asset #2 (rotate into/default: GLD) – the asset being evaluated 2. Calculates Relative Strength line: RS = SMA( (close₂ / close₁) × 100 , length ) → Values > 50 = Asset 2 outperforming Asset 1 → Values < 50 = Asset 1 outperforming Asset 2 3. Computes momentum of the RS line: Mom(RS) = SMA( change(RS) , momentum length ) 4. Generates CRE signal: - Bullish CRE (+1): RS > its own SMA **and** RS momentum > 0 → Asset 2 is outperforming **and** the outperformance is accelerating - Bearish CRE (-1): RS < its own SMA **and** RS momentum < 0 → Asset 2 is underperforming **and** the underperformance is accelerating - Neutral (0): otherwise Visual Output - Blue line: Relative Strength (Asset 2 vs Asset 1, scaled around 100) - Gray hline at 50: Neutral level - Orange line: Momentum of RS (oscillates around zero) - Green upward triangles (bottom): Bullish Capital Rotation Event - Red downward triangles (top): Bearish Capital Rotation Event - Background coloring: light green (bullish rotation), light red (bearish rotation) Why this combination? - Raw RS ratio shows **who is stronger**, but can be slow-moving or noisy. - Adding momentum of RS filters for **dynamic shifts** — catching the moments when rotation is actually gaining steam rather than just drifting. - The dual-condition logic (RS above/below average + positive/negative momentum) reduces false signals and focuses on meaningful acceleration in relative performance. Typical Use Cases - Macro rotation: SPY vs GLD (risk-on vs safe-haven), SPY vs TLT (equities vs bonds), QQQ vs XLF (tech vs financials) - Sector rotation: XLE vs XLU (energy vs utilities), XLK vs XLV (tech vs healthcare) - Currency pairs or crypto: BTCUSD vs ETHUSD, USD vs gold, etc. - Timeframes: Daily/weekly for macro swings, 4h/1h for shorter tactical rotations How to Use 1. Apply to any chart (timeframe of your choice). 2. Set Asset #1 (benchmark) and Asset #2 (target) via inputs. 3. Adjust RS Length (default 14) and Momentum Length (default 9) to match your timeframe. 4. Watch for triangle signals + background color change as early clues of rotation. 5. Combine with price action on the actual assets — CRE is a relative bias tool, not a direct buy/sell signal. 6. Best in trending or regime-shifting markets; less useful in strong correlated moves. Inputs - Asset #1 (lead): default SPY - Asset #2 (rotate into): default GLD - RS Length: smoothing period for relative strength (default 14) - Momentum Length: smoothing period for RS change (default 9) Publishing Notes - Publish with a clean chart (only this indicator active). - Recommended example setup: daily or 4h chart with SPY + GLD (or your preferred pair). - No other overlays/indicators needed for basic interpretation. This script is fully open-source for learning and transparency. It is an educational tool — not a guaranteed predictor of market direction. Trading and investing involve significant risk of loss. Feedback welcome — happy rotating!
Pine Script® indicator
by uzair2join
SMC 9.0this tool has to be done path the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Conceptpath the way you look into get more you do more you get risk manegment Smart Money Concept
Pine Script® indicator
by mavtrade00
4 in 1 - MA, MACD, Stochastic and RSIIt consolidates four of the most popular technical analysis tools into a single script. It displays the Moving Averages on the main chart (Overlay) and stacks the MACD, Stochastic, and RSI into a single bottom panel using vertical offsets. This script uses Vertical Offsets to prevent the lines from overlapping: RSI lives at 0 - 100. Stochastic lives at 120 - 220 (It adds +120 to the values). MACD lives around 300 (It adds +300 to the values). Note: Do not rely on the specific numbers on the far right Y-axis for the MACD or Stochastic, as they have been artificially shifted up. Rely on the visual crossovers and the relative position of the lines.
Pine Script® indicator
by win_online