Auf geht's

Chart-Muster

Bar Number IndicatorBar Number Indicator This Pine Script indicator is designed to help intraday traders by automatically numbering candlesticks within a user-defined trading session. This is particularly useful for strategies that rely on specific bar counts (e.g., tracking the 1st, 18th, or 81st bar of the day). Key Features: Session-Based Counting: Automatically resets the count at the start of each new session (default 09:30 - 16:00). Timezone Flexibility: Includes a dropdown to select your specific trading timezone (e.g., America/New_York), ensuring accurate session start times regardless of your local time or the exchange's default setting. Smart Display Modes: Choose to show "All" numbers, or filter for "Odd" / "Even" numbers to keep your chart clean. Custom Positioning: Easily place the numbers Above or Below the candlesticks. Minimalist Design: Numbers are displayed as floating text without distracting background bubbles.
Pine Script® Indikator
von crunchy3859
takeshi GPT//@version=5 indicator("猛の掟・初動スクリーナーGPT", overlay = true, timeframe = "", timeframe_gaps = true) // ====================================================== // ■ 1. パラメータ設定 // ====================================================== // EMA長 emaFastLen = input.int(5, "短期EMA (5)", minval = 1) emaMidLen = input.int(13, "中期EMA (13)", minval = 1) emaSlowLen = input.int(26, "長期EMA (26)", minval = 1) // 出来高 volMaLen = input.int(5, "出来高平均期間", minval = 1) volMultInitial = input.float(1.3, "出来高 初動ライン (×)", minval = 1.0, step = 0.1) volMultStrong = input.float(1.5, "出来高 本物ライン (×)", minval = 1.0, step = 0.1) // 押し目・レジスタンス pullbackLookback = input.int(20, "直近高値の探索期間", minval = 5) pullbackMinPct = input.float(5.0, "押し目下限 (%)", minval = 0.0, step = 0.1) pullbackMaxPct = input.float(15.0, "押し目上限 (%)", minval = 0.0, step = 0.1) // ピンバー判定パラメータ pinbarWickRatio = input.float(2.0, "ピンバー下ヒゲ/実体 比率", minval = 1.0, step = 0.5) pinbarMaxUpperPct = input.float(25.0, "ピンバー上ヒゲ比率上限 (%)", minval = 0.0, step = 1.0) // 大陽線判定 bigBodyPct = input.float(2.0, "大陽線の最低値幅 (%)", minval = 0.1, step = 0.1) // ====================================================== // ■ 2. 基本テクニカル計算 // ====================================================== emaFast = ta.ema(close, emaFastLen) emaMid = ta.ema(close, emaMidLen) emaSlow = ta.ema(close, emaSlowLen) // MACD = ta.macd(close, 12, 26, 9) // 出来高 volMa = ta.sma(volume, volMaLen) // 直近高値（押し目判定用） recentHigh = ta.highest(high, pullbackLookback) drawdownPct = (recentHigh > 0) ? (recentHigh - close) / recentHigh * 100.0 : na // ====================================================== // ■ 3. A：トレンド（初動）条件 // ====================================================== // 1. 5EMA↑ 13EMA↑ 26EMA↑ emaUpFast = emaFast > emaFast emaUpMid = emaMid > emaMid emaUpSlow = emaSlow > emaSlow condTrendUp = emaUpFast and emaUpMid and emaUpSlow // 2. 黄金並び 5EMA > 13EMA > 26EMA condGolden = emaFast > emaMid and emaMid > emaSlow // 3. ローソク足が 26EMA 上に2日定着 condAboveSlow2 = close > emaSlow and close > emaSlow // ====================================================== // ■ 4. B：モメンタム（MACD）条件 // ====================================================== // ヒストグラム縮小＋上向き histShrinkingUp = (math.abs(histLine) < math.abs(histLine )) and (histLine > histLine ) // ゼロライン直下〜直上での上向き nearZeroRange = 0.5 // ゼロライン±0.5 macdNearZero = math.abs(macdLine) <= nearZeroRange // MACDが上向き macdTurningUp = macdLine > macdLine // MACDゼロライン上でゴールデンクロス macdZeroCrossUp = macdLine > signalLine and macdLine <= signalLine and macdLine > 0 // B条件：すべて condMACD = histShrinkingUp and macdNearZero and macdTurningUp and macdZeroCrossUp // ====================================================== // ■ 5. C：需給（出来高）条件 // ====================================================== condVolInitial = volume > volMa * volMultInitial // 1.3倍〜 初動点灯 condVolStrong = volume > volMa * volMultStrong // 1.5倍〜 本物初動 condVolume = condVolInitial // 「8掟」では1.3倍以上で合格 // ====================================================== // ■ 6. D：ローソク足パターン // ====================================================== body = math.abs(close - open) upperWick = high - math.max(close, open) lowerWick = math.min(close, open) - low rangeAll = high - low // 安全対策：0除算回避 rangeAllSafe = rangeAll == 0.0 ? 0.0000001 : rangeAll bodyPct = body / close * 100.0 // ● 長い下ヒゲ（ピンバー） lowerToBodyRatio = (body > 0) ? lowerWick / body : 0.0 upperPct = upperWick / rangeAllSafe * 100.0 isBullPinbar = lowerToBodyRatio >= pinbarWickRatio and upperPct <= pinbarMaxUpperPct and close > open // ● 陽線包み足（bullish engulfing） prevBearish = close < open isEngulfingBull = close > open and prevBearish and close >= open and open <= close // ● 5EMA・13EMAを貫く大陽線 crossFast = open < emaFast and close > emaFast crossMid = open < emaMid and close > emaMid isBigBody = bodyPct >= bigBodyPct isBigBull = close > open and (crossFast or crossMid) and isBigBody // D条件：どれか1つでOK condCandle = isBullPinbar or isEngulfingBull or isBigBull // ====================================================== // ■ 7. E：価格帯（押し目位置 & レジスタンスブレイク） // ====================================================== // 7. 押し目 -5〜15% condPullback = drawdownPct >= pullbackMinPct and drawdownPct <= pullbackMaxPct // 8. レジスタンス突破 → 押し目 → 再上昇 // 直近 pullbackLookback 本の高値をレジスタンスとみなす（現在足除く） resistance = ta.highest(close , pullbackLookback) // レジスタンスブレイクが起きたバーからの経過本数 brokeAbove = ta.barssince(close > resistance) // ブレイク後に一度レジ上まで戻したか pulledBack = brokeAbove != na ? ta.lowest(low, brokeAbove + 1) < resistance : false // 現在は再上昇方向か reRising = close > close condBreakPull = (brokeAbove != na) and (brokeAbove <= pullbackLookback) and pulledBack and reRising // ====================================================== // ■ 8. 最終 8条件 & 三点シグナル // ====================================================== // 8つの掟 condA = condTrendUp and condGolden and condAboveSlow2 condB = condMACD condC = condVolume condD = condCandle condE = condPullback and condBreakPull all_conditions = condA and condB and condC and condD and condE // 🟩 最終三点シグナル // 1. 長い下ヒゲ 2. MACDゼロライン上GC 3. 出来高1.5倍以上 threePoint = isBullPinbar and macdZeroCrossUp and condVolStrong // 「買い確定」＝ 8条件すべて ＋ 三点シグナル buy_confirmed = all_conditions and threePoint // ====================================================== // ■ 9. チャート表示 & スクリーナー用出力 // ====================================================== // EMA表示 plot(emaFast, color = color.orange, title = "EMA 5") plot(emaMid, color = color.new(color.blue, 10), title = "EMA 13") plot(emaSlow, color = color.new(color.green, 20), title = "EMA 26") // 初動シグナル plotshape( all_conditions and not buy_confirmed, title = "初動シグナル（掟8条件クリア）", style = shape.labelup, color = color.new(color.yellow, 0), text = "初動", location = location.belowbar, size = size.small) // 三点フルシグナル（買い確定） plotshape( buy_confirmed, title = "三点フルシグナル（買い確定）", style = shape.labelup, color = color.new(color.lime, 0), text = "買い", location = location.belowbar, size = size.large) // スクリーナー用 series 出力（非表示） plot(all_conditions ? 1 : 0, title = "all_conditions (8掟クリア)", display = display.none) plot(buy_confirmed ? 1 : 0, title = "buy_confirmed (三点＋8掟)", display = display.none)
Pine Script® Indikator
von morishima0ut6b
Density Zones (GM Crossing Clusters) + QHO Spin FlipsINDICATOR NAME Density Zones (GM Crossing Clusters) + QHO Spin Flips OVERVIEW This indicator combines two complementary ideas into a single overlay: *this combines my earlier Geometric Mean Indicator with the Quantum Harmonic Oscillator (Overlay) with additional enhancements* 1) Density Zones (GM Crossing Clusters) A “Density Zone” is detected when price repeatedly crosses a Geometric Mean equilibrium line (GM) within a rolling lookback window. Conceptually, this identifies regions where the market is repeatedly “snapping” across an equilibrium boundary—high churn, high decision pressure, and repeated re-selection of direction. 2) QHO Spin Flips (Regression-Residual σ Breaches) A “Spin Flip” is detected when price deviates beyond a configurable σ-threshold (κ) from a regression-based equilibrium, using normalized residuals. Conceptually, this marks excursions into extreme states (decoherence / expansion), which often precede a reversion toward equilibrium and/or a regime re-scaling. These two systems are related but not identical: - Density Zones identify where equilibrium crossings cluster (a “singularity”/anchor behavior around GM). - Spin Flips identify when price exceeds statistically extreme displacement from the regression equilibrium (LSR), indicating expansion beyond typical variance. CORE CONCEPTS AND FORMULAS SECTION A — GEOMETRIC MEAN EQUILIBRIUM (GM) We define two moving averages: (1) MA1_t = SMA(close_t, L1) (2) MA2_t = SMA(close_t, L2) We define the equilibrium anchor as the geometric mean of MA1 and MA2: (3) GM_t = sqrt( MA1_t * MA2_t ) This GM line acts as an equilibrium boundary. Repeated crossings are interpreted as high “equilibrium churn.” SECTION B — CROSS EVENTS (UP/DOWN) A “cross event” is registered when the sign of (close - GM) changes: Define a sign function s_t: (4) s_t = +1 if close_t > GM_t -1 if close_t < GM_t s_{t-1} if close_t == GM_t (tie-breaker to avoid false flips) Then define the crossing event indicator: (5) crossEvent_t = 1 if s_t != s_{t-1} 0 otherwise Additionally, the indicator plots explicit cross markers: - Cross Above GM: crossover(close, GM) - Cross Below GM: crossunder(close, GM) These provide directional visual cues and match the original Geometric Mean Indicator behavior. SECTION C — DENSITY MEASURE (CROSSING CLUSTER COUNT) A Density Zone is based on the number of cross events occurring in the last W bars: (6) D_t = Σ_{i=0..W-1} crossEvent_{t-i} This is a “crossing density” score: how many times price has toggled across GM recently. The script implements this efficiently using a cumulative sum identity: Let x_t = crossEvent_t. (7) cumX_t = Σ_{j=0..t} x_j Then: (8) D_t = cumX_t - cumX_{t-W} (for t >= W) cumX_t (for t < W) SECTION D — DENSITY ZONE TRIGGER We define a Density Zone state: (9) isDZ_t = ( D_t >= θ ) where: - θ (theta) is the user-selected crossing threshold. Zone edges: (10) dzStart_t = isDZ_t AND NOT isDZ_{t-1} (11) dzEnd_t = NOT isDZ_t AND isDZ_{t-1} SECTION E — DENSITY ZONE BOUNDS While inside a Density Zone, we track the running high/low to display zone bounds: (12) dzHi_t = max(dzHi_{t-1}, high_t) if isDZ_t (13) dzLo_t = min(dzLo_{t-1}, low_t) if isDZ_t On dzStart: (14) dzHi_t := high_t (15) dzLo_t := low_t Outside zones, bounds are reset to NA. These bounds visually bracket the “singularity span” (the churn envelope) during each density episode. SECTION F — QHO EQUILIBRIUM (REGRESSION CENTERLINE) Define the regression equilibrium (LSR): (16) m_t = linreg(close_t, L, 0) This is the “centerline” the QHO system uses as equilibrium. SECTION G — RESIDUAL AND σ (FIELD WIDTH) Residual: (17) r_t = close_t - m_t Rolling standard deviation of residuals: (18) σ_t = stdev(r_t, L) This σ_t is the local volatility/width of the residual field around the regression equilibrium. SECTION H — NORMALIZED DISPLACEMENT AND SPIN FLIP Define the standardized displacement: (19) Y_t = (close_t - m_t) / σ_t (If σ_t = 0, the script safely treats Y_t = 0.) Spin Flip trigger uses a user threshold κ: (20) spinFlip_t = ( |Y_t| > κ ) Directional spin flips: (21) spinUp_t = ( Y_t > +κ ) (22) spinDn_t = ( Y_t < -κ ) The default κ=3.0 corresponds to “3σ excursions,” which are statistically extreme under a normal residual assumption (even though real markets are not perfectly normal). SECTION I — QHO BANDS (OPTIONAL VISUALIZATION) The indicator optionally draws the standard σ-bands around the regression equilibrium: (23) 1σ bands: m_t ± 1·σ_t (24) 2σ bands: m_t ± 2·σ_t (25) 3σ bands: m_t ± 3·σ_t These provide immediate context for the Spin Flip events. WHAT YOU SEE ON THE CHART 1) MA1 / MA2 / GM lines (optional) - MA1 (blue), MA2 (red), GM (green). - GM is the equilibrium anchor for Density Zones and cross markers. 2) GM Cross Markers (optional) - “GM↑” label markers appear on bars where close crosses above GM. - “GM↓” label markers appear on bars where close crosses below GM. 3) Density Zone Shading (optional) - Background shading appears while isDZ_t = true. - This is the period where the crossing density D_t is above θ. 4) Density Zone High/Low Bounds (optional) - Two lines (dzHi / dzLo) are drawn only while in-zone. - These bounds bracket the full churn envelope during the density episode. 5) QHO Bands (optional) - 1σ, 2σ, 3σ shaded zones around regression equilibrium. - These visualize the current variance field. 6) Regression Equilibrium (LSR Centerline) - The white centerline is the regression equilibrium m_t. 7) Spin Flip Markers - A circle is plotted when |Y_t| > κ (beyond your chosen σ-threshold). - Marker size is user-controlled (tiny → huge). HOW TO USE IT Step 1 — Pick the equilibrium anchor (GM) - L1 and L2 define MA1 and MA2. - GM = sqrt(MA1 * MA2) becomes your equilibrium boundary. Typical choices: - Faster equilibrium: L1=20, L2=50 (default-like). - Slower equilibrium: L1=50, L2=200 (macro anchor). Interpretation: - GM acts like a “center of mass” between two moving averages. - Crosses show when price flips from one side of equilibrium to the other. Step 2 — Tune Density Zones (W and θ) - W controls the time window measured (how far back you count crossings). - θ controls how many crossings qualify as a “density/singularity episode.” Guideline: - Larger W = slower, broader density detection. - Higher θ = only the most intense churn is labeled as a Density Zone. Interpretation: - A Density Zone is not “bullish” or “bearish” by itself. - It is a condition: repeated equilibrium toggling (high churn / high compression). - These often precede expansions, but direction is not implied by the zone alone. Step 3 — Tune the QHO spin flip sensitivity (L and κ) - L controls regression memory and σ estimation length. - κ controls how extreme the displacement must be to trigger a spin flip. Guideline: - Smaller L = more reactive centerline and σ. - Larger L = smoother, slower “field” definition. - κ=3.0 = strong extreme filter. - κ=2.0 = more frequent flips. Interpretation: - Spin flips mark when price exits the “normal” residual field. - In your model language: a moment of decoherence/expansion that is statistically extreme relative to recent equilibrium. Step 4 — Read the combined behavior (your key thesis) A) Density Zone forms (GM churn clusters): - Market repeatedly crosses equilibrium (GM), compressing into a bounded churn envelope. - dzHi/dzLo show the envelope range. B) Expansion occurs: - Price can release away from the density envelope (up or down). - If it expands far enough relative to regression equilibrium, a Spin Flip triggers (|Y| > κ). C) Re-coherence: - After a spin flip, price often returns toward equilibrium structures: - toward the regression centerline m_t - and/or back toward the density envelope (dzHi/dzLo) depending on regime behavior. - The indicator does not guarantee return, but it highlights the condition where return-to-field is statistically likely in many regimes. IMPORTANT NOTES / DISCLAIMERS - This indicator is an analytical overlay. It does not provide financial advice. - Density Zones are condition states derived from GM crossing frequency; they do not predict direction. - Spin Flips are statistical excursions based on regression residuals and rolling σ; markets have fat tails and non-stationarity, so σ-based thresholds are contextual, not absolute. - All parameters (L1, L2, W, θ, L, κ) should be tuned per asset, timeframe, and volatility regime. PARAMETER SUMMARY Geometric Mean / Density Zones: - L1: MA1 length - L2: MA2 length - GM_t = sqrt(SMA(L1)*SMA(L2)) - W: crossing-count lookback window - θ: crossing density threshold - D_t = Σ crossEvent_{t-i} over W - isDZ_t = (D_t >= θ) - dzHi/dzLo track envelope bounds while isDZ is true QHO / Spin Flips: - L: regression + residual σ length - m_t = linreg(close, L, 0) - r_t = close_t - m_t - σ_t = stdev(r_t, L) - Y_t = r_t / σ_t - spinFlip_t = (|Y_t| > κ) Visual Controls: - toggles for GM lines, cross markers, zone shading, bounds, QHO bands - marker size options for GM crosses and spin flips ALERTS INCLUDED - Density Zone START / END - Spin Flip UP / DOWN - Cross Above GM / Cross Below GM SUMMARY This indicator treats the Geometric Mean as an equilibrium boundary and identifies “Density Zones” when price repeatedly crosses that equilibrium within a rolling window, forming a bounded churn envelope (dzHi/dzLo). It also models a regression-based equilibrium field and triggers “Spin Flips” when price makes statistically extreme σ-excursions from that field. Used together, Density Zones highlight compression/decision regions (equilibrium churn), while Spin Flips highlight extreme expansion states (σ-breaches), allowing the user to visualize how price compresses around equilibrium, releases outward, and often re-stabilizes around equilibrium structures over time.
Pine Script® Indikator
von Eyemaginative
VX-Session-Boxes-(AM/PM Split)(Customizable) by Ikaru-s-VX-Session-Boxes-(AM/PM Split) is a session-based visualization tool for TradingView that highlights major market sessions directly on the chart using dotted range boxes and an optional AM/PM split. The indicator allows traders to visually separate market behavior across different sessions while keeping the chart clean and readable. 🔹 Key Features Custom Session Definitions Define up to 4 independent sessions using TradingView’s session format (HHMM-HHMM + weekdays). Timezone-Aware All sessions are calculated using a user-defined timezone (IANA or UTC offset), ensuring accurate session alignment across markets. Dotted Session Boxes Each session is drawn as a dotted box based on the session’s high/low range, providing a clear view of volatility and price structure. AM / PM Split Visualization Sessions can be visually split into AM and PM parts: Separate box shading for AM and PM Optional dotted vertical split line at the AM → PM transition (12:00 in the selected timezone) Session Labels Optional labels at the start of each session for quick identification (e.g. Sydney, Tokyo, London, New York). Fully Customizable Visuals Adjustable opacity, border width, and visibility toggles for boxes, split lines, and labels. 🔹 Use Cases Session-based market analysis (Asia / London / New York) Identifying session ranges and volatility expansion Observing price behavior differences between AM and PM Studying session transitions and liquidity shifts 🔹 Notes Session boxes are based on session high and low, not full chart height. AM/PM split is based on 12:00 (noon) in the selected timezone. Designed for clarity and performance on intraday timeframes. 🔹 Compatibility Pine Script® v6 Works on all intraday timeframes Overlay indicator (draws directly on the price chart)
Pine Script® Indikator
von Ikaru-s-
Position Trdaing Lines (2 entries + live PnL)Position Trading Lines (2 entries + live PnL) is a utility script designed to visually manage a manual position on the chart, with clear TP/SL levels and real-time profit & loss. The script does not place orders. It is meant to help you simulate / track an existing or planned position. Features • Up to 2 trades on the same symbol • Each trade has: • Direction: Long / Short • Position size (lot) • Entry price • Take Profit (T.Profit) price • Stop Loss (S.Loss) price • Entry shift in bars from the last candle (to align with past or future entries) • Visual lines on the price chart • Horizontal line at the entry price • Horizontal line at Take Profit • Horizontal line at Stop Loss • Informative labels • Entry label showing: direction, size and @ entry price • TP and SL labels showing: • T.Profit / S.Loss • position size • @ price • estimated PnL at that level • If both trades share the same TP or SL price, a single combined label is shown with the total size and total PnL. • Commissions • Global commission input (percentage over notional). • Commission is included in all PnL calculations. • Live PnL label • Real-time combined PnL of the active trades, updated on the last bar. • Color changes with sign (green for profit, red for loss). • Selective PnL for Trade 2 • Trade 2 has a switch: “Count PnL in total”. • You can keep Trade 2 visible on the chart but exclude it from the combined PnL until it is actually active. This tool is useful for discretionary traders who want a clean visual representation of their position, R:R, and projected outcomes directly on the chart, without relying on the broker’s position panel.
Pine Script® Indikator
von JBuru
new takesi_2Step_Screener_MOU_KAKU_FIXED4 (Visible)//@version=5 indicator("MNO_2Step_Screener_MOU_KAKU_FIXED4 (Visible)", overlay=true, max_labels_count=500) // ========================= // Inputs // ========================= emaSLen = input.int(5, "EMA Short (5)") emaMLen = input.int(13, "EMA Mid (13)") emaLLen = input.int(26, "EMA Long (26)") macdFast = input.int(12, "MACD Fast") macdSlow = input.int(26, "MACD Slow") macdSignal = input.int(9, "MACD Signal") macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05) volLookback = input.int(5, "Volume MA days", minval=1) volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1) volStrong = input.float(1.5, "Strong volume ratio (Breakout/KAKU)", step=0.1) volMaxRatio = input.float(3.0, "Volume ratio max (filter)", step=0.1) wickBodyMult = input.float(2.0, "Pinbar: lowerWick >= body*x", step=0.1) pivotLen = input.int(20, "Resistance lookback", minval=5) pullMinPct = input.float(5.0, "Pullback min (%)", step=0.1) pullMaxPct = input.float(15.0, "Pullback max (%)", step=0.1) breakLookbackBars = input.int(5, "Pullback route: valid bars after break", minval=1) // --- Breakout route (押し目なし初動ブレイク) --- useBreakoutRoute = input.bool(true, "Enable MOU Breakout Route (no pullback)") breakConfirmPct = input.float(0.3, "Break confirm: close > R*(1+%)", step=0.1) bigBodyLookback = input.int(20, "Break candle body MA length", minval=5) bigBodyMult = input.float(1.2, "Break candle: body >= MA*mult", step=0.1) requireCloseNearHigh = input.bool(true, "Break candle: close near high") closeNearHighPct = input.float(25.0, "Close near high threshold (% of range)", step=1.0) allowMACDAboveZeroInstead = input.bool(true, "Breakout route: allow MACD GC above zero instead") // 表示 showEMA = input.bool(true, "Plot EMAs") showMou = input.bool(true, "Show MOU label") showKaku = input.bool(true, "Show KAKU label") // ★ここを改善：デバッグ表はデフォルトON showDebugTbl = input.bool(true, "Show debug table (last bar)") // ★稼働確認ラベル（最終足に必ず出す） showStatusLbl = input.bool(true, "Show status label (last bar always)") locChoice = input.string("Below Bar", "Label location", options= ) lblLoc = locChoice == "Below Bar" ? location.belowbar : location.abovebar // ========================= // EMA // ========================= emaS = ta.ema(close, emaSLen) emaM = ta.ema(close, emaMLen) emaL = ta.ema(close, emaLLen) plot(showEMA ? emaS : na, color=color.new(color.yellow, 0), title="EMA 5") plot(showEMA ? emaM : na, color=color.new(color.blue, 0), title="EMA 13") plot(showEMA ? emaL : na, color=color.new(color.orange, 0), title="EMA 26") emaUpS = emaS > emaS emaUpM = emaM > emaM emaUpL = emaL > emaL goldenOrder = emaS > emaM and emaM > emaL above26_2days = close > emaL and close > emaL // 勝率維持の土台（緩めない） baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2days // ========================= // MACD // ========================= = ta.macd(close, macdFast, macdSlow, macdSignal) macdGC = ta.crossover(macdLine, macdSig) macdUp = macdLine > macdLine macdNearZero = math.abs(macdLine) <= macdZeroTh macdGCAboveZero = macdGC and macdLine > 0 and macdSig > 0 macdMouOK = macdGC and macdNearZero and macdUp macdBreakOK = allowMACDAboveZeroInstead ? (macdMouOK or macdGCAboveZero) : macdMouOK // ========================= // Volume // ========================= volMA = ta.sma(volume, volLookback) volRatio = volMA > 0 ? (volume / volMA) : na volumeMouOK = volRatio >= volMinRatio and volRatio <= volMaxRatio volumeStrongOK = volRatio >= volStrong and volRatio <= volMaxRatio // ========================= // Candle patterns // ========================= body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low pinbar = (lowerWick >= wickBodyMult * body) and (lowerWick > upperWick) and (close >= open) bullEngulf = close > open and close < open and close >= open and open <= close bigBull = close > open and open < emaM and close > emaS and (body > ta.sma(body, 20)) candleOK = pinbar or bullEngulf or bigBull // ========================= // Resistance / Pullback route // ========================= res = ta.highest(high, pivotLen) pullbackPct = res > 0 ? (res - close) / res * 100.0 : na pullbackOK = pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct brokeRes = ta.crossover(close, res ) barsSinceBreak = ta.barssince(brokeRes) afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars) pullbackRouteOK = afterBreakZone and pullbackOK // ========================= // Breakout route (押し目なし初動ブレイク) // ========================= breakConfirm = close > res * (1.0 + breakConfirmPct / 100.0) bullBreak = close > open bodyMA = ta.sma(body, bigBodyLookback) bigBodyOK = bodyMA > 0 ? (body >= bodyMA * bigBodyMult) : false rng = math.max(high - low, syminfo.mintick) closeNearHighOK = not requireCloseNearHigh ? true : ((high - close) / rng * 100.0 <= closeNearHighPct) mou_breakout = useBreakoutRoute and baseTrendOK and breakConfirm and bullBreak and bigBodyOK and closeNearHighOK and volumeStrongOK and macdBreakOK mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK mou = mou_pullback or mou_breakout // ========================= // KAKU (Strict): 8条件 + 最終三点 // ========================= cond1 = emaUpS and emaUpM and emaUpL cond2 = goldenOrder cond3 = above26_2days cond4 = macdGCAboveZero cond5 = volumeMouOK cond6 = candleOK cond7 = pullbackOK cond8 = pullbackRouteOK all8_strict = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 final3 = pinbar and macdGCAboveZero and volumeStrongOK kaku = all8_strict and final3 // ========================= // Display (猛 / 猛B / 確) // ========================= showKakuNow = showKaku and kaku showMouPull = showMou and mou_pullback and not kaku showMouBrk = showMou and mou_breakout and not kaku plotshape(showMouPull, title="MOU_PULLBACK", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showMouBrk, title="MOU_BREAKOUT", style=shape.labelup, text="猛B", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showKakuNow, title="KAKU", style=shape.labelup, text="確", color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small) // ========================= // ★稼働確認：最終足に必ず出すステータスラベル // ========================= var label status = na if showStatusLbl and barstate.islast label.delete(status) statusTxt = "MNO RUNNING " + "MOU: " + (mou ? "YES" : "no") + " (pull=" + (mou_pullback ? "Y" : "n") + " / brk=" + (mou_breakout ? "Y" : "n") + ") " + "KAKU: " + (kaku ? "YES" : "no") + " " + "BaseTrend: " + (baseTrendOK ? "OK" : "NO") + " " + "MACD(mou): " + (macdMouOK ? "OK" : "NO") + " / MACD(zeroGC): " + (macdGCAboveZero ? "OK" : "NO") + " " + "Vol: " + (na(volRatio) ? "na" : str.tostring(volRatio, format.mintick)) + " " + "Pull%: " + (na(pullbackPct) ? "na" : str.tostring(pullbackPct, format.mintick)) status := label.new(bar_index, high, statusTxt, style=label.style_label_left, textcolor=color.white, color=color.new(color.black, 0)) // ========================= // Alerts // ========================= alertcondition(mou, title="MNO_MOU", message="MNO: MOU triggered") alertcondition(mou_breakout, title="MNO_MOU_BREAKOUT", message="MNO: MOU Breakout triggered") alertcondition(mou_pullback, title="MNO_MOU_PULLBACK", message="MNO: MOU Pullback triggered") alertcondition(kaku, title="MNO_KAKU", message="MNO: KAKU triggered") // ========================= // Debug table (optional) // ========================= var table t = table.new(position.top_right, 2, 14, border_width=1, border_color=color.new(color.white, 60)) fRow(_name, _cond, _r) => bg = _cond ? color.new(color.lime, 70) : color.new(color.red, 80) tx = _cond ? "OK" : "NO" table.cell(t, 0, _r, _name, text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(t, 1, _r, tx, text_color=color.white, bgcolor=bg) if showDebugTbl and barstate.islast table.cell(t, 0, 0, "MNO Debug", text_color=color.white, bgcolor=color.new(color.black, 0)) table.cell(t, 1, 0, "", text_color=color.white, bgcolor=color.new(color.black, 0)) fRow("BaseTrend", baseTrendOK, 1) fRow("MOU Pullback", mou_pullback, 2) fRow("MOU Breakout", mou_breakout, 3) fRow("Break confirm", breakConfirm, 4) fRow("Break big body", bigBodyOK, 5) fRow("Break close high", closeNearHighOK, 6) fRow("Break vol strong", volumeStrongOK, 7) fRow("Break MACD", macdBreakOK, 8) fRow("KAKU all8", all8_strict, 9) fRow("KAKU final3", final3, 10) fRow("MOU any", mou, 11) fRow("KAKU", kaku, 12)
Pine Script® Indikator
von morishima0ut6b
Ripster Clouds + Saty Pivot + RVOL + Trend1. Ripster EMA Clouds (local + higher timeframe) Local timeframe (your chart TF): Plots up to 5 EMA clouds (8/9, 5/12, 34/50, 72/89, 180/200 – configurable). Each cloud is: One short EMA and one long EMA. A filled band between them. Color logic: Cloud is bullish when short EMA > long EMA (green/blue-ish tone). Bearish when short EMA < long EMA (red/orange/pink tone). You can choose: EMA vs SMA, Whether to show the lines, Per-cloud toggles. MTF Clouds: Two higher-timeframe EMA clouds: Cloud 1: 50/55 Cloud 2: 20/21 Computed on a higher TF (default D, but configurable). Show as thin lines + transparent bands. Used for: Visual higher-TF trend, Optional signal filter (MTF must agree for trades). 2. Saty Pivot Ribbon (time-warped EMAs) This is basically your Saty Pivot Ribbon integrated: Uses a “Time Warp” setting to overlay EMAs from another timeframe. EMAs: Fast, Pivot, Slow (defaults 8 / 21 / 34). Clouds: Fast cloud between fast & pivot EMAs. Slow cloud between pivot & slow EMAs. Bullish/bearish colors are distinct from Ripster colors. Optional highlights: Can highlight fast/pivot/slow lines separately. Conviction EMAs: 13 and 48 EMAs (configurable). When fast conviction EMA crosses over/under slow: You get triangle arrows (bullish/bearish conviction). Bias candles: If enabled, candles are recolored based on: Price vs Bias EMA, Candle up/down/doji, So you see bullish/bearish “bias” directly in candle colors. 3. DTR vs ATR panel (range vs average) In a small table panel (bottom-center by default): Computes higher-TF ATR (default 14, TF auto D/W/M, smoothing type selectable). Measures current range (high–low) on that TF. Displays: DTR: X vs ATR: Y Z% (+/-Δ% vs prev) Where: Z% = current range / ATR * 100. Δ% = change vs previous bar’s Z%. Background color: Greenish for low move (<≈70%), Red for high move (≥≈90%), Yellow in between, Slightly dimmed when price is below bias EMA. This tells you: “Is today an average, quiet, or explosive day compared to normal?” 4. SMA Divergence panel Separate histogram & line panel: Fast and slow SMAs (default 14 & 30). Computes price divergence vs SMA in %: % above/below slow SMA, % above/below fast SMA. Shows: Slow SMA divergence as a semi-transparent column, Fast SMA divergence as a solid column on top, EMA of the slow divergence (trend line) colored: Blue when rising, Orange/red when falling. Static upper/lower bands with fill, plus optional zero line. This gives you a feel for how stretched price is vs its anchors. 5. RVOL table (relative volume) Small 3×2 table (bottom-right by default): Inputs: Average length (default 50 bars), Optionally show previous candle RVOL. Calculates: RVOL now = volume / avg(volume N bars) * 100, RVOL prev, RVOL momentum (now – prev) for data window only. Table columns: Candle Vol, RVOL (Now), RVOL (Prev). Colors: 200% → “high RVOL” color, 100–200% → “medium RVOL” color, <100% → “low RVOL” color, Slightly dimmer if price is below bias EMA. This is used both visually and optionally as a signal filter (e.g., only trade when RVOL ≥ threshold). 6. Trend Dashboard (Price + 34/50 + 5/12) Top-right trend box with 3 rows: Price Action row: Uses either Bias EMA or custom EMA on close to say: Bullish (close > trend EMA), Bearish (close < trend EMA), Flat. Ripster 34/50 Cloud row: Uses 34/50 EMAs: bullish if 34>50, bearish if 34<50. Ripster 5/12 Cloud row: Uses 5/12 EMAs: bullish if 5>12, bearish if 5<12. Then it does a vote: Counts bullish votes (Price, 34/50, 5/12), Counts bearish votes, Depending on mode: Majority (2 of 3) or Strict (3 of 3). Output: Overall Bullish / Bearish / Sideways. You also get an optional label on the chart like Overall: Bullish trend with color, and an optional background tint (green/red for bull/bear). 7. VWAP + Buy/Sell Signals VWAP is plotted as a white line. Fast “trend” cloud mid: average of 5 & 12 EMAs. Slow “trend” cloud mid: average of 34 & 50 EMAs. Buy condition: 5/12 crosses above 34/50 (bullish cloud flip), Price > VWAP, Optional filter: MTF Cloud 1 bullish (50/55 on higher TF), Optional filter: RVOL >= threshold. Sell condition: 5/12 crosses below 34/50, Price < VWAP, Optional same filters but bearish. When conditions are met: Plots BUY triangle up below price (distinct teal/green tone). Plots SELL triangle down above price (distinct magenta/orange tone). Alert conditions are defined for: BUY / SELL signals, Overall Bullish / Bearish / Sideways change, MTF Cloud 1 trend flips. 8. Data Window metrics For easy backtesting / inspection via TradingView’s data window, it exposes: DTR% (Current) and DTR% Momentum, RVOL% (Now), RVOL% (Prev), RVOL% Momentum. TL;DR – What does this script do for you? It turns your chart into a multi-framework trend and momentum dashboard: Ripster EMA clouds for short/medium trend & S/R. Saty Ribbon for higher-TF pivot structure and conviction. RVOL + DTR/ATR for context (is this a big and well-participated move?). SMA divergence panel for overextension/stretch. A compact trend table that tells you Price vs 34/50 vs 5/12 in one glance. Buy/Sell markers + alerts when: short-term Ripster trend (5/12) flips over/under medium (34/50), price agrees with VWAP, plus optional filters (MTF trend and / or RVOL). Basically: it’s a trend + confirmation + context system wrapped into one indicator, with most knobs configurable in the settings.
Pine Script® Indikator
von chandrashekar_thippani
Dynamic Trend Channel - Adaptive Support & Resistance SystemA powerful trend-following indicator that adapts to market conditions in real-time. The Dynamic Trend Channel uses ATR-based volatility measurements to create intelligent support and resistance zones that adjust automatically to price action. Key Features: ✓ Adaptive channel width based on market volatility (ATR) ✓ Color-coded trend identification (Green = Bullish, Red = Bearish) ✓ Smooth, flowing bands that reduce noise ✓ Breakout signals for high-probability entries ✓ Real-time info table showing trend status and price positioning ✓ Customizable settings for all timeframes
Pine Script® Indikator
von avirudoi
Prev Day ±1% BoundaryThis indicator plots dynamic intraday price bands based on the previous day’s close. It calculates a reference price using yesterday’s daily close and draws: An upper boundary at +1% above the previous close A lower boundary at –1% below the previous close These levels are shown as horizontal lines across all intraday bars, with an optional shaded zone between them. How to use: Use the boundaries as intraday reference levels for potential support, resistance, or mean-reversion zones. When price trades near the upper band, it may indicate short-term extension to the upside relative to the prior close. When price trades near the lower band, it may indicate short-term extension to the downside. The shaded region between the lines highlights a ±1% normal fluctuation zone around the previous day’s closing price. This tool is especially useful for intraday traders on indices like SPX, providing quick visual context for how far price has moved relative to the prior session’s close.
Pine Script® Indikator
von nitscode020
TedAlpha – Structure / FVG / OB Sessions: Only looks for trades when price is inside your defined London or NY time blocks. CHOCH: Uses pivots to track swing highs/lows, then flags a bullish CHOCH when structure flips from LL/LH to HH/HL, and vice versa for bearish. FVG: Detects 3-candle imbalance and keeps the zone “active” for fvgLookback bars, then checks if price trades back into it. Order Blocks: On a CHOCH, grabs the last opposite candle (bearish before bull CHOCH = bullish OB, bullish before bear CHOCH = bearish OB) and marks its body as the OB zone. Signal: A valid long = bull CHOCH + in session + (price inside bullish FVG and/or bullish OB, depending on toggles). Short is the mirror image. RR 1:3: SL uses the last swing low (for longs) or last swing high (for shorts), TP is auto-set at 3× that distance and plotted as lines.
Pine Script® Indikator
von teddyleting
9/39 EMA Crossover + ADX + RSI Filter (No builtin ADX) 9/39 EMA Crossover + ADX + RSI Filter This indicator combines classic trend‑following EMAs with momentum and trend‑strength filters to generate high‑quality Buy/Sell signals. It is designed for traders who want cleaner entries, reduced noise, and confirmation‑based signals. ✅ How It Works 1. EMA Trend Logic • Buy Signal: 9 EMA crosses above 39 EMA • Sell Signal: 9 EMA crosses below 39 EMA This captures short‑term momentum shifts within the broader trend. ✅ 2. ADX Trend Strength Filter To avoid weak or sideways markets, signals only trigger when: • ADX > 20 This ensures the market has enough directional strength before taking trades. ✅ 3. RSI Momentum Filter Momentum must align with the direction of the crossover: • Buy: RSI > 50 • Sell: RSI < 50 This prevents counter‑trend entries and improves signal reliability. ✅ Final Signal Conditions ✅ BUY • 9 EMA crosses above 39 EMA • ADX > 20 • RSI > 50 ✅ SELL • 9 EMA crosses below 39 EMA • ADX > 20 • RSI < 50 ✅ Features • Clean BUY/SELL labels on chart • ADX calculated manually (compatible with all Pine environments) • Alerts included for automation • Works on all timeframes and instruments ✅ Best Use‑Cases • Trend‑following strategies • Swing trading • Intraday momentum confirmation • Filtering out sideways/noisy markets
Pine Script® Indikator
von hmtsahu