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GMMA fill (v5) + Golden Crossover HighlightsGMMA Fill (v5) + Golden Crossover Highlights This setup combines the Guppy Multiple Moving Average (GMMA) Fill version 5 with Golden Crossover signals to identify strong trend continuation and potential breakout points. GMMA provides layered moving averages for short- and long-term trend analysis, while the Golden Crossover highlights bullish momentum shifts, making it ideal for spotting entry opportunities in trending markets.
Pine Script® 인디케이터
manojnibrad의
Universe_Super MA [MTF & Multi-Type]**Overview** "Universe_Super MA" is a comprehensive trend analysis tool designed to overcome indicator limits. Instead of adding 4 separate moving averages, this script allows you to monitor 4 distinct Moving Averages within a single indicator slot. It features full **Multi-Timeframe (MTF)** capabilities, meaning you can view higher timeframe trends (e.g., Daily 200 SMA) while trading on lower timeframes (e.g., 15-minute chart). **Default Configuration (Institutional Setup)** The indicator comes pre-loaded with a powerful institutional trend setup: 1. **50 Period (Green):** Short-term trend and dynamic support. 2. **99 Period (Orange):** Medium-term trend filter. 3. **200 Period (Red):** The classic institutional dividing line between Bull and Bear markets. 4. **389 Period (Blue):** A long-term "Deep Trend" baseline used to identify major market cycles and heavy support/resistance levels. **Key Features** * **fully Customizable:** You can change the Length, Color, and Width of each line. * **Multi-Timeframe (MTF):** Select any timeframe for any MA. (e.g., Keep MA1 on the "Chart" timeframe, but lock MA4 to the "Daily" timeframe). * **6 MA Types:** Choose between SMA, EMA, WMA, HMA (Hull), RMA, and VWMA for each line independently. * **Clean Interface:** Toggle any line On/Off via settings without removing the indicator. **Usage & Interpretation** * **Trend Identification:** The 200 (Red) and 389 (Blue) lines are designed to visualize the long-term market bias. In technical analysis, price action sustaining above these levels is generally considered a bullish context, while price below suggests a bearish context. * **Crossover Monitoring:** The script facilitates the observation of interactions between short-term and long-term averages (e.g., the 50 crossing the 200), allowing users to easily spot common technical patterns like the "Golden Cross". * **Dynamic Levels:** The 99 and 200-period lines act as dynamic levels that may align with technical support or resistance zones during market retracements. **Settings** * **Timeframe:** Leave empty to use the current chart's timeframe, or select a specific one (e.g., "1D" or "4H"). * **Type:** Select your preferred calculation method (SMA is default). **Disclaimer** This tool is for educational purposes and trend visualization only. Always manage your risk.
Pine Script® 인디케이터
Fib_Universe의
EMA Slope Angle V2 Auto Threshold# EMA Slope Angle Indicator ## Overview The EMA Slope Angle Indicator visualizes the Exponential Moving Average (EMA) slope as an angle in degrees, providing traders with a clear, quantitative measure of trend strength and direction. The indicator features **automatic threshold calculation based on Gaussian distribution**, making it adaptive to any market and timeframe. ## Key Features ### 🎯 **Automatic Threshold Calculation (NEW!)** - **Gaussian Distribution-Based**: Automatically calculates optimal thresholds from the 50% interquartile range (IQR) of historical angle data - **Asset-Adaptive**: Thresholds adjust to each instrument's unique volatility and price characteristics - **No Manual Tuning Required**: Simply enable "Use Auto Thresholds" and let the indicator optimize itself ### 📊 **Dynamic EMA Coloring** - **Color Intensity**: EMA line color intensity reflects slope strength - **Visual Feedback**: - Green shades for uptrends (darker = stronger) - Red shades for downtrends (darker = stronger) - Gray for flat/neutral conditions ### 📈 **Regime Detection** - **Three Regimes**: RISING, FALLING, and FLAT - **Smart Classification**: Based on statistical distribution of angles - **Non-Repainting**: All calculations use confirmed bars only ### 🔔 **Trend-Shift Signals** - **Visual Arrows**: Automatic signals when transitioning from FLAT to RISING/FALLING - **Configurable**: Enable/disable signals as needed - **Reliable**: Only triggers on significant regime changes ### 📋 **KPI Dashboard** - **Real-Time Metrics**: Current angle, regime, and last signal - **Auto-Threshold Display**: Shows calculated thresholds when auto-mode is active - **Statistics**: Optional angle distribution statistics - **Clean Layout**: Top-right corner, non-intrusive ### 📊 **Angle Statistics (Optional)** - **Distribution Analysis**: Histogram of angle ranges - **Dynamic Buckets**: Automatically adjusts to data distribution when auto-mode is enabled - **Percentage Breakdown**: See how often each angle range occurs ## Settings ### Main Settings - **EMA Length**: Period for the Exponential Moving Average (default: 50) - **Slope Lookback Bars**: Number of bars to calculate slope over (default: 5) ### Angle Settings - **Use Auto Thresholds**: Enable automatic threshold calculation (recommended!) - **Analysis Period**: Number of bars to analyze for distribution (default: 500) - **Manual Thresholds**: Flat, Rising, and Falling triggers (used when auto-mode is off) - **Max Angle for Color Saturation**: Maximum angle for color intensity scaling ### Display Options - **Colors**: Customize uptrend, downtrend, and flat colors - **Show Signals**: Enable/disable trend-shift arrows - **Show Statistics**: Display angle distribution table - **Show Dashboard**: Toggle KPI dashboard visibility ## How It Works ### Angle Calculation The indicator calculates the angle between the current EMA value and the EMA value N bars ago: ``` Angle = arctan((EMA_now - EMA_then) / lookback) × 180° / π ``` ### Auto-Threshold Calculation When enabled, the indicator: 1. Analyzes historical angle data over the specified period 2. Calculates mean and standard deviation 3. Determines thresholds based on the 50% interquartile range (IQR): - **Flat Threshold**: ±0.674σ (middle 50% of data) - **Rising Trigger**: 75th percentile (mean + 0.674σ) - **Falling Trigger**: 25th percentile (mean - 0.674σ) ### Regime Classification - **FLAT**: Angle within ±Flat Threshold - **RISING**: Angle ≥ Rising Trigger - **FALLING**: Angle ≤ Falling Trigger ## Use Cases ### Trend Following - Identify strong trends (high angle values) - Spot trend reversals (regime changes) - Filter trades based on trend strength ### Range Trading - Detect flat/consolidation periods - Avoid trading during choppy markets - Enter when regime shifts from FLAT to RISING/FALLING ### Multi-Timeframe Analysis - Apply to different timeframes for confirmation - Use higher timeframe for trend direction - Use lower timeframe for entry timing ## Tips for Best Results 1. **Enable Auto-Thresholds**: Let the indicator adapt to your instrument 2. **Adjust Analysis Period**: Use more bars for stable markets, fewer for volatile ones 3. **Combine with Price Action**: Use regime changes as confirmation, not standalone signals 4. **Multi-Timeframe**: Check higher timeframes for trend context 5. **Backtest First**: Test settings on historical data before live trading ## Technical Details - **Non-Repainting**: All calculations use `barstate.isconfirmed` - **Pine Script v6**: Latest version for optimal performance - **Efficient**: Minimal computational overhead - **Customizable**: Extensive settings for fine-tuning ## Version History **v2.0** (Current) - Added automatic threshold calculation based on Gaussian distribution - Dynamic bucket adjustment for statistics - Enhanced dashboard with auto-threshold display - Improved regime detection using IQR method **v1.0** - Initial release with manual thresholds - Basic EMA coloring - Trend-shift signals - KPI dashboard ## Support For questions, suggestions, or bug reports, please leave a comment or contact the author. --- **Disclaimer**: This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. **Keywords**: EMA, slope, angle, trend, automatic thresholds, Gaussian distribution, regime detection, non-repainting, adaptive
Pine Script® 인디케이터
Lean_Trading의
8menutakeshi//@version=5 indicator("猛の掟・初動スクリーナー（完全版：8項目コメント表示）", overlay=true, max_labels_count=50) //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // Inputs //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ showPanel = input.bool(true, "コメント表示") panelPos = input.string("右上", "コメント位置", options= ) lastBarOnly = input.bool(true, "最後の足だけ更新（推奨）") // EMA lenEma1 = input.int(5, "EMA 5", minval=1) lenEma2 = input.int(13, "EMA 13", minval=1) lenEma3 = input.int(26, "EMA 26", minval=1) // MACD macdFast = input.int(12, "MACD fast", minval=1) macdSlow = input.int(26, "MACD slow", minval=1) macdSig = input.int(9, "MACD signal", minval=1) // Volume volMaLen = input.int(5, "出来高平均（N日）", minval=1) volMinMul = input.float(1.3, "出来高倍率Min", step=0.1) volMaxMul = input.float(2.0, "出来高倍率Max", step=0.1) volFinalMul = input.float(1.5, "最終三点：出来高倍率（>=）", step=0.1) // Candle wickBodyMult = input.float(1.8, "下ヒゲ判定：下ヒゲ/実体 >=", step=0.1) atrLen = input.int(14, "ATR長", minval=1) bigBodyATR = input.float(1.2, "大陽線判定：実体 >= ATR×", step=0.1) // Breakout / Pullback resLookback = input.int(20, "レジスタンス：過去N日高値", minval=5) pullMinPct = input.float(5.0, "押し目Min(%)", step=0.5) pullMaxPct = input.float(15.0, "押し目Max(%)", step=0.5) retestAllowPct = input.float(1.0, "ブレイク価格の許容下抜け(%)", step=0.1) stateExpireBars = input.int(30, "ブレイク状態の期限(本数)", minval=5) //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // Series //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ema5 = ta.ema(close, lenEma1) ema13 = ta.ema(close, lenEma2) ema26 = ta.ema(close, lenEma3) = ta.macd(close, macdFast, macdSlow, macdSig) volAvg = ta.sma(volume, volMaLen) volMul = volAvg == 0 ? na : (volume / volAvg) atr = ta.atr(atrLen) // Candle parts body = math.abs(close - open) upperWick = high - math.max(open, close) lowerWick = math.min(open, close) - low //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // 1-3: トレンド //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ema5Up = ema5 > ema5 ema13Up = ema13 > ema13 ema26Up = ema26 > ema26 allEmaUp = ema5Up and ema13Up and ema26Up golden = (ema5 > ema13) and (ema13 > ema26) above26_2days = (close > ema26) and (close > ema26 ) //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // 4: MACD（ゼロライン上GC） //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ macdZeroGC = ta.crossover(macdLine, macdSignal) and (macdLine > 0) histShrinkToUp = (macdHist > macdHist ) and (macdHist < macdHist ) // 参考表示 //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // 5: 出来高 //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ volOK = not na(volMul) and (volMul >= volMinMul) and (volMul <= volMaxMul) volStrongOK = not na(volMul) and (volMul >= volFinalMul) // 最終三点用 //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // 6: ローソク（ピンバー/包み/大陽線） //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ longLowerWick = (body > 0) and ((lowerWick / body) >= wickBodyMult) and (upperWick <= lowerWick * 0.6) and (close > open) bullEngulf = (close < open ) and (close > open) and (open <= close ) and (close >= open ) bigBull = (close > open) and (body >= atr * bigBodyATR) and (open < ema13) and (close > ema5) candleOK = longLowerWick or bullEngulf or bigBull //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // 7-8: ブレイク後押し目（押し目 -5〜15%） //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ res = ta.highest(high, resLookback) breakout = ta.crossover(close, res) var bool inBreak = false var float breakPrice = na var int breakBar = na var float postBreakHigh = na if breakout inBreak := true breakPrice := res breakBar := bar_index postBreakHigh := high if inBreak postBreakHigh := na(postBreakHigh) ? high : math.max(postBreakHigh, high) pullPct = (inBreak and not na(postBreakHigh) and postBreakHigh != 0) ? (postBreakHigh - close) / postBreakHigh * 100.0 : na pullOK = not na(pullPct) and (pullPct >= pullMinPct) and (pullPct <= pullMaxPct) retestOK = inBreak and not na(breakPrice) and (close >= breakPrice * (1 - retestAllowPct/100.0)) breakoutPullbackOK = inBreak and retestOK and pullOK if inBreak and not na(breakBar) and (bar_index - breakBar > stateExpireBars) inBreak := false breakPrice := na breakBar := na postBreakHigh := na //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // 8項目チェック（1つでも欠けたら見送り） //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ chk1 = allEmaUp chk2 = golden chk3 = above26_2days chk4 = macdZeroGC chk5 = volOK chk6 = candleOK chk7 = pullOK chk8 = breakoutPullbackOK all8 = chk1 and chk2 and chk3 and chk4 and chk5 and chk6 and chk7 and chk8 // 最終三点（ヒゲ×出来高×MACD） // ※「成立時は買い確定」の定義に合わせて、all8に加えてfinal3も必須にしている final3 = longLowerWick and volStrongOK and macdZeroGC judge = (all8 and final3) ? "判定：買い" : "判定：見送り" //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // コメント文字列（←txt を必ず先に定義） //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ fMark(x) => x ? "達成" : "未達" txt = "【8項目チェック】 " + "1 EMA全上向き: " + fMark(chk1) + " " + "2 黄金隊列: " + fMark(chk2) + " " + "3 26EMA上2日: " + fMark(chk3) + " " + "4 MACDゼロ上GC: " + fMark(chk4) + " " + "5 出来高" + str.tostring(volMinMul) + "-" + str.tostring(volMaxMul) + ": " + fMark(chk5) + " " + "6 ローソク条件: " + fMark(chk6) + " " + "7 押し目-" + str.tostring(pullMinPct) + "〜" + str.tostring(pullMaxPct) + "%: " + fMark(chk7) + " " + "8 ブレイク後押し目: " + fMark(chk8) + " " + "最終三点(ヒゲ×出来高×MACD): " + (final3 ? "成立" : "未成立") + " " + judge + " " + "(参考)出来高倍率=" + (na(volMul) ? "na" : str.tostring(volMul, "#.00")) + " / 押し目率=" + (na(pullPct) ? "na" : str.tostring(pullPct, "#.0")) + "%" + " / hist転換=" + (histShrinkToUp ? "YES" : "NO") //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // Table（位置は if で確定。三項演算子で改行しない） //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ var pos = position.top_right if panelPos == "右上" pos := position.top_right else if panelPos == "左上" pos := position.top_left else if panelPos == "右下" pos := position.bottom_right else pos := position.bottom_left var table t = table.new(pos, 1, 1) // 描画条件 drawNow = showPanel and (lastBarOnly ? barstate.islast : true) bg = (all8 and final3) ? color.new(color.lime, 80) : color.new(color.gray, 15) fg = color.white if drawNow table.cell(t, 0, 0, txt, text_color=fg, bgcolor=bg, text_size=size.small) else table.cell(t, 0, 0, "", text_color=fg, bgcolor=color.new(color.black, 100)) //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ // 視覚補助 //━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ plot(ema5, color=color.new(color.yellow, 0), title="EMA5") plot(ema13, color=color.new(color.orange, 0), title="EMA13") plot(ema26, color=color.new(color.red, 0), title="EMA26") plotshape(all8 and final3, title="BUY", style=shape.triangleup, location=location.belowbar, color=color.new(color.lime, 0), size=size.tiny, text="BUY")
Pine Script® 인디케이터
morishima0ut6b의
Futures Risk-Based Position CalculatorFutures Risk‑Based Position Calculator — Description This TradingView indicator automatically calculates and displays Entry, Stop Loss (SL), and Take Profit (TP) levels for futures trades based on a fixed dollar‑risk amount. What it does Uses your account balance, dollar risk, number of contracts, point value, and tick size to compute how far the stop should be from the entry. Determines the take‑profit level using a chosen risk‑to‑reward ratio. Draws three lines on the chart: Entry line Stop loss line Take profit line Places labels next to the SL and TP lines showing prices and point distances. Key features Supports long or short calculation mode. Configurable line styling: Width, style (solid/dashed/dotted), color, opacity. Separate styling for entry, SL, and TP. Configurable label behavior: Optional background. Text color choices. Adjustable vertical offset to avoid overlapping the lines. Lines extend left/right by user‑defined bar amounts. Values are always rounded to the market's tick size. How levels are calculated Entry = current close rounded to tick size. Stop distance (points) = dollarRisk / (contracts × pointValue). SL = entry − distance (long) or entry + distance (short). TP = entry + distance × RR (long) or entry − distance × RR (short). Visual behavior Lines and labels update only on the last bar to avoid clutter. Labels show: SL: price, point distance, and contract count. TP: price and point distance.
Pine Script® 인디케이터
DrodzCip의
SMAHiLO- 2 EMA/SMA can be used for trend following default value is 50 and 200 - green box and red box incorporated to chart for visual representation for Week ,Daily, H4, H2,H1 - blue line representation for opening candle, previous low and previous high and by clicking prev. close open alert at setting it will alert if prev. low or high are reach and current opening candle is breakdown or breakout settings: - engulfing alert it will alert bullish engulfing entry if 50 is above 200 vise versa - harami alert it will alert bullish harami if 50 is above 200 vise versa - pullback alert it will alert bullish pullback if 50 is above 200 or bearish pullback if 50 below 200 - mcd ob/os alert it will display green circle above candle if macd getting weaker from bearish to bullish vise versa - spot play alert most of the time buy alert only no sell alert. - engul/harami alert it will alert if harami or engulfing is met unlike on engulfing alert and harami alert it will follow the trend if 50 above 200 vise versa.
Pine Script® 인디케이터
marjemvic18의
Delta Grid Delta Grid H/L/C (Approx) Delta Grid H/L/C (Approx) is an order-flow style table that breaks down intrabar delta behavior per candle and displays it in a clean, easy-to-read grid below your chart. Instead of guessing what happened inside a candle, this indicator shows you: Delta High – the maximum aggressive buying reached within the bar Delta Low – the maximum aggressive selling reached within the bar Delta Final – where delta closed when the candle finished All values are displayed in a stand-alone table, making it easy to scan recent bars and quickly spot momentum shifts, absorption, and potential trap behavior. How It Works This indicator approximates intrabar delta by: Aggregating lower-timeframe volume Classifying volume direction based on price movement Tracking the running delta inside each candle Recording the highest, lowest, and final delta values per bar A heat-mapped background is applied to the Final Delta column: Green shades = net aggressive buying Red shades = net aggressive selling Brighter colors = stronger imbalance relative to recent bars Key Features Stand-alone Delta Grid panel below the chart Per-bar Delta High / Delta Low / Delta Final Heat-mapped Final Delta for fast visual interpretation Optional time column for precise bar reference Adjustable lookback and scaling settings Clean layout designed for futures, crypto, and index trading How Traders Use It This tool is ideal for: Spotting absorption at highs and lows Identifying failed breakouts and traps Confirming trend strength or exhaustion Reading order-flow shifts without footprint charts Pairing with VWAP, Initial Balance, Supply & Demand, and Market Structure Important Notes This is an approximate delta calculation due to TradingView data limitations. It does not use true bid/ask volume. For true order-flow delta, a platform with native tick data (e.g., Tradovate or NinjaTrader) is required. Recommended Settings Use a lower timeframe (1s–15s if available) for better intrabar accuracy Combine with key levels (VWAP, IBH/IBL, prior highs/lows) for best results
Pine Script® 인디케이터
forsakenSwift63419의
NSE Swing Breadth NSE Swing Breadth – Market Health Dashboard (0–200, % from Neutral) Overview NSE Swing Breadth – Market Health Dashboard is a market-wide health and regime indicator designed to track internal strength and participation across Large-, Mid-, and Small-cap indices in the Indian equity market. Instead of focusing on price alone, this tool measures how strongly each segment is behaving relative to its own swing trend, normalizes those movements, and combines them into a single Market Health score. The result is a clean, objective dashboard that helps traders identify Risk-On, Caution, and Risk-Off regimes. This indicator is best used for position sizing, exposure control, and timing aggressiveness, rather than individual stock entries. Data Used The indicator internally tracks three broad NSE indices: Large Caps → NIFTY100EQUALWEIGHT Mid Caps → NIFTYMIDCAP150 Small Caps → NIFTYSMLCAP250 Using equal-weighted and broad indices ensures the signal reflects true market participation, not just index heavyweights. Core Logic 1. Swing Strength Model For each index, the script calculates normalized swing strength: Price is compared to its EMA swing baseline The deviation from the EMA is normalized using the EMA of absolute deviations This creates a volatility-adjusted strength value, allowing fair comparison across market regimes This answers the question: Is this segment pushing meaningfully above or below its recent trend? 2. Strength Converted to % from Neutral (Baseline = 100) Each segment’s strength is converted into percentage-style points around a neutral baseline of 100: 100 = Neutral +15 = +15% strength above neutral –20 = –20% weakness below neutral These values are plotted as three smooth lines: Blue → Large Caps Orange → Mid Caps Purple → Small Caps This makes relative leadership and divergence immediately visible. 3. Market Health Score (0–100) The indicator combines all three segments into a single Market Health score: Large Caps → 40% weight Mid Caps → 35% weight Small Caps → 25% weight Extreme values are clamped to avoid distortion, and the final score is normalized to a 0–100 scale: 70–100 → Strong, broad participation 40–69 → Mixed / unstable participation 0–39 → Weak, risk-off conditions Visual Components 📊 Market Health Histogram A vertical histogram displays Market Health (0–100) with enhanced visibility: 🟢 Green (≥ 70) → Strong Risk-On regime 🟠 Orange (40–69) → Caution / Transition 🔴 Red (< 40) → Risk-Off regime The histogram is visually compact and designed to reflect true market health, not exaggerated spikes. 📈 Strength Lines (Baseline = 100) Three strength lines show % deviation from neutral: Above 100 → Positive internal strength Below 100 → Internal weakness These lines help identify: Leadership (which segment is driving the market) Early deterioration (small/mid caps weakening first) Broad confirmation (all segments rising together) Dashboard Tables 📌 Market Regime Table (Bottom-Left) Displays the current market regime: 🟢 RISK ON 🟡 CAUTION 🔴 RISK OFF Along with the exact Market Health score (0–100). 📌 Strength Table (Top-Right) Shows Large / Mid / Small cap strength as % from neutral, for example: +18% → 18% above neutral –12% → 12% below neutral This avoids misleading interpretations and keeps values intuitive and actionable. How to Use This Indicator Risk-On (Green) Favor full position sizes, trend-following strategies, and broader participation trades. Caution (Orange) Reduce leverage, tighten stops, and be selective. Expect choppiness. Risk-Off (Red) Prioritize capital protection, reduce exposure, and avoid aggressive longs. This indicator is not an entry signal — it is a market environment filter. ⚠️ Important Style Setting (Required) For correct visualization: Settings → Style → Uncheck “Labels on price scale” This prevents the indicator’s internal 0–200 model scale from interfering with the chart’s price scale and keeps the pane clean and readable. Summary NSE Swing Breadth – Market Health Dashboard provides a clear, objective view of market internals, helping traders align their risk with the true underlying condition of the market — not just price movement. It is especially effective for: Market regime identification Exposure management Avoiding false breakouts in weak breadth environments
Pine Script® 인디케이터
vikram_bains의
Wavelet Candlestick Slope Follower-Master Edition Here is a short description of this script: This is a **Trend Following strategy** that utilizes advanced mathematics—the **Wavelet Transform**—to filter out market noise. **Key Features:** 1. **Synthetic Candles:** The script does not analyze raw prices. Instead, it constructs "Wavelet Candles"—smoothed candles created through mathematical convolution of prices with a specific wavelet "kernel" (e.g., Mexican Hat, Morlet, Haar). 2. **Auto-Correction (Normalization):** This is the most critical technical feature of this code. The script automatically normalizes the weights. This ensures that even when using complex mathematical shapes (like the Mexican Hat), the output price remains accurate to the real chart scale and is not distorted. 3. **Strategy Logic:** The logic is very straightforward—the system enters a **Long** position when the smoothed closing price (`w_close`) is rising, and closes the position when it starts to fall. 4. **Visualization:** It draws new, cleaner candles (green/red) on the chart, revealing the "true" trend structure after filtering out temporary fluctuations. This is a example of use idea of wavelet candle
Pine Script™ 전략
wojlucz의
Optimized 1st Touch 10SMA After RunThis indicator is designed to identify strong stocks that have recently made a meaningful rally and are now experiencing their first controlled pullback to the 10-day simple moving average (10SMA). It scans for stocks that have moved at least 10% over the past 10 trading days, maintained upward momentum by riding above the 10SMA during the advance, and are trading within a broader uptrend. The signal triggers only when price makes its first touch of the 10SMA since the rally and closes back above it, indicating potential support and trend continuation rather than weakness. Additional filters such as volume contraction and higher-timeframe trend alignment help isolate high-quality setups where strong stocks are digesting gains before a potential next leg higher.
Pine Script® 인디케이터
Bootchmagoo의
Probability-Based Adaptive Detection🙏🏻 PBAD (Probability-Based Adaptive Detection) : adaptive control tool for outliers || novelty detection, made for worst case data & processes, for the highest time complexity O(n^2) compared with the alternatives (would be explained in a sec). Thresholds are completely data driven and axiomatic, no need in provided hyperparameters, are not learned or optimized. The method accepts multiple weights, e.g. both temporal and volatility weights. Method briefly explained (I can go deeper if any1 asks explicitly): Performs weighted KDE on initial input data, finds KDE global maximum (mode), creates new “residuals” dataset by centering initial data around this value; Performs weighted KDE on residuals, uses sigmoid based probability mass targets with increasing probability coverage to construct a set of non-disjoint High Density Intervals (also called HDR, HPD in Bayesian terms); Uses these intervals to calculate analogs of centralized & standardized moments; Uses these ^^ moments to construct a set of control thresholds. The scheme used in PBAD is not only based on a central threshold, or on neighboring ones, it utilizes all previous thresholds, gaining more information. ... The most important part is to understand whether you really need PBAD. Because even tho it seems to be the best one given highest algocomplexity, irl it would work worse in cases when it’s not required by your data. Here’s the menu (aka taxonomy omg) of methods you can use that would let you make the right choice: Moment-Based Adaptive Detection (MBAD) : Norm: L2 Time complexity: original O(n), successfully reduced to O(1) in online version Use case: default, general purpose Based on: method of moments (powers of residuals from mean) Thresholds architecture: centralized Quantile-Based Adaptive Detection (QBAD): Norm: L1 Time complexity: O(nlogn) Use case: either bad data Or process instability Based on: quantile moments (dyadic percentiles of residuals from median) Thresholds architecture: chained/recursive/sequential Probability-Based Adaptive Detection (PBAD): Norm: L0 Time complexity: O(n^2) Use case: both bad data And process instability Based on: probability moments (target probability masses of residuals from KDE mode) Thresholds architecture: decentralized (for lack of a better name xd, the idea is that these thresholds gain information from the all other threshold and are Not exclusively based on the central or neighboring thresholds) ... Examples of true use cases: ^^ an appropriate financial instrument to use PBAD ^^ and another one ... Additional details about how to use it: Keep the student5 kernel, it’s the best you can do. I added others mostly for comparisons and if you want to use the tool Not for its primary purpose (on a fine data) “Calculate for N bars” and “Starting at bar N” options allow to reduce calculation period only on the N number of last bars or next bars from a chosen one. It's vital, because calculations here are heavy Keep plotting offset at 1 (allows to visually compare current bar with the previous threshold values). This is the way it should be done on price data. HLC3 is the optimal source input, unless you want to use your own better one point estimate of each datapoint (in the best case done by using PBAD itself on OHLC+ values). In essence it should be used just like MBAD or QBAD, fade/push extensions and limit, fade/push/skip deviations & basis, or other strategies of your. Again, the only reason for 3 methods to exist is to be chosen for according data characteristics. Btw: This is the initial version, I don’t consider it perfected tbh, even tho it works as expected, however this method is very situational anyways. In this script KDE function is modified to ensure the outcoming probabilities Do sum up to 1. I didn’t do this normalization in Weighted KDE Mode script , but there it’s not required since we just need a KDE global max. see ya ∞
Pine Script® 인디케이터
gorx1의
1
Hybrid Strategy: Trend/ORB/MTFHybrid Strategy: Trend + ORB + Multi-Timeframe Matrix This script is a comprehensive "Trading Manager" designed to filter out noise and identify high-probability breakout setups. It combines three powerful concepts into a single, clean chart interface: Trend Alignment, Opening Range Breakout (ORB), and Multi-Timeframe (MTF) Analysis. It is designed to prevent "analysis paralysis" by providing a unified Dashboard that confirms if the trend is aligned across 5 different timeframes before you take a trade. How it Works The strategy relies on the "Golden Trio" of confluence: 1. Trend Definition (The Setup) Before looking for entries, the script analyzes the immediate trend. A bullish trend is defined as: Price is above the Session VWAP. The fast EMA (9) is above the slow EMA (21). (The inverse applies for bearish trends). 2. The Signal (The Trigger) The script draws the Opening Range (default: first 15 minutes of the session). Buy Signal: Price breaks above the Opening Range High while the Trend is Bullish. Sell Signal: Price breaks below the Opening Range Low while the Trend is Bearish. 3. The Confirmation (The Filter) A signal is only valid if the Higher Timeframe (default: 60m) agrees with the direction. If the 1m chart says "Buy" but the 60m chart is bearish, the signal is filtered out to prevent false breakouts. Key Features The Matrix Dashboard A zero-lag, real-time table in the corner of your screen that monitors 5 user-defined timeframes (e.g., 5m, 15m, 30m, 60m, 4H). Trend: Checks if Price > EMA 21. VWAP: Checks if Price > VWAP. ORB: Checks if Price is currently above/below the Opening Range of that session. D H/L: Warns if price is near the Daily High or Low. PD H/L: Warns if price is near the Previous Daily High or Low. Visual Order Blocks The script automatically identifies valid Order Blocks (sequences of consecutive candles followed by a strong explosive move). Chart: Draws Green/Red zones extending to the right, showing where price may react. Dashboard: Displays the exact High, Low, and Average price of the most recent Order Blocks for precision planning. Risk Management (Trailing Stop) Once a trade is active, the script plots Chandelier Exit dots (ATR-based trailing stop) to help you manage the trade and lock in profits during trend runs. Visual Guide (Chart Legend) ⬜ Gray Box: Represents the Opening Range (first 15 minutes). This is your "No Trade Zone." Wait for price to break out of this box. 🟢 Green Line: The Opening Range High. A break above this line signals potential Bullish momentum. 🔴 Red Line: The Opening Range Low. A break below this line signals potential Bearish momentum. 🟢 Green / 🔴 Red Zones (Boxes): These are Order Blocks. 🟢 Green Zone: A Bullish Order Block (Demand). Expect price to potentially bounce up from here. 🔴 Red Zone: A Bearish Order Block (Supply). Expect price to potentially reject down from here. ⚪ Dots (Trailing Stop): 🟢 Green Dots: These appear below price during a Bullish trend. They represent your suggested Stop Loss. 🔴 Red Dots: These appear above price during a Bearish trend. 🏷️ Buy / Sell Labels: BUY: Triggers when Price breaks the Green Line + Trend is Bullish + HTF is Bullish. SELL: Triggers when Price breaks the Red Line + Trend is Bearish + HTF is Bearish. Settings Session: Customizable RTH (Regular Trading Hours) to filter out pre-market noise. Matrix Timeframes: 5 fixed slots to choose which timeframes you want to monitor. Order Blocks: Adjust the sensitivity and lookback period for Order Block detection. Risk: Customize the ATR multiplier for the trailing stop. Disclaimer This tool is for educational purposes only. Past performance does not guarantee future results. Always manage your risk properly.
Pine Script® 인디케이터
EliasVictor의
takeshi MNO_2Step_Screener_MOU_MOUB_KAKU//@version=5 indicator("MNO_2Step_Screener_MOU_MOUB_KAKU", overlay=true, max_labels_count=500, max_lines_count=500) // ========================= // Inputs // ========================= emaSLen = input.int(5, "EMA Short (5)", minval=1) emaMLen = input.int(13, "EMA Mid (13)", minval=1) emaLLen = input.int(26, "EMA Long (26)", minval=1) macdFast = input.int(12, "MACD Fast", minval=1) macdSlow = input.int(26, "MACD Slow", minval=1) macdSignal = input.int(9, "MACD Signal", minval=1) macdZeroTh = input.float(0.2, "MOU: MACD near-zero threshold", step=0.05) volDays = input.int(5, "Volume avg (days equivalent)", minval=1) volMinRatio = input.float(1.3, "MOU: Volume ratio min", step=0.1) volStrong = input.float(1.5, "Strong volume ratio (MOU-B/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, "Valid bars after break", minval=1) showEMA = input.bool(true, "Plot EMAs") showLabels = input.bool(true, "Show labels (猛/猛B/確)") showShapes = input.bool(true, "Show shapes (猛/猛B/確)") confirmOnClose = input.bool(true, "Signal only on bar close (recommended)") locChoice = input.string("Below", "Label location", options= ) lblLoc = locChoice == "Below" ? 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_2bars = close > emaL and close > emaL baseTrendOK = (emaUpS and emaUpM and emaUpL) and goldenOrder and above26_2bars // ========================= // 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 macdKakuOK = macdGCAboveZero // ========================= // Volume (days -> bars) // ========================= sec = timeframe.in_seconds(timeframe.period) barsPerDay = (sec > 0 and sec < 86400) ? math.round(86400 / sec) : 1 volLookbackBars = math.max(1, volDays * barsPerDay) volMA = ta.sma(volume, volLookbackBars) volRatio = volMA > 0 ? (volume / volMA) : na volumeMouOK = not na(volRatio) and volRatio >= volMinRatio and volRatio <= volMaxRatio volumeStrongOK = not na(volRatio) and 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 = (body > 0) and (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 = not na(pullbackPct) and pullbackPct >= pullMinPct and pullbackPct <= pullMaxPct brokeRes = ta.crossover(close, res ) barsSinceBreak = ta.barssince(brokeRes) afterBreakZone = (barsSinceBreak >= 0) and (barsSinceBreak <= breakLookbackBars) pullbackRouteOK = afterBreakZone and pullbackOK // ========================= // Signals (猛 / 猛B / 確) // ========================= mou_pullback = baseTrendOK and volumeMouOK and candleOK and macdMouOK and pullbackRouteOK mou_breakout = baseTrendOK and ta.crossover(close, res ) and volumeStrongOK and macdKakuOK cond1 = emaUpS and emaUpM and emaUpL cond2 = goldenOrder cond3 = above26_2bars cond4 = macdKakuOK cond5 = volumeMouOK cond6 = candleOK cond7 = pullbackOK cond8 = pullbackRouteOK all8 = cond1 and cond2 and cond3 and cond4 and cond5 and cond6 and cond7 and cond8 final3 = pinbar and macdKakuOK and volumeStrongOK kaku = all8 and final3 // 確優先（同一足は確だけ出す） confirmed = confirmOnClose ? barstate.isconfirmed : true sigKAKU = kaku and confirmed sigMOU = mou_pullback and not kaku and confirmed sigMOUB = mou_breakout and not kaku and confirmed // ========================= // Visualization // ========================= if showLabels and sigMOU label.new(bar_index, low, "猛", style=label.style_label_up, color=color.new(color.lime, 0), textcolor=color.black) if showLabels and sigMOUB label.new(bar_index, low, "猛B", style=label.style_label_up, color=color.new(color.green, 0), textcolor=color.black) if showLabels and sigKAKU label.new(bar_index, low, "確", style=label.style_label_up, color=color.new(color.yellow, 0), textcolor=color.black) plotshape(showShapes and sigMOU, title="MOU", style=shape.labelup, text="猛", color=color.new(color.lime, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showShapes and sigMOUB, title="MOUB", style=shape.labelup, text="猛B", color=color.new(color.green, 0), textcolor=color.black, location=lblLoc, size=size.tiny) plotshape(showShapes and sigKAKU, title="KAKU", style=shape.labelup, text="確", color=color.new(color.yellow, 0), textcolor=color.black, location=lblLoc, size=size.small) // ========================= // Alerts // ========================= alertcondition(sigMOU, title="MNO_MOU", message="MNO: 猛（押し目）") alertcondition(sigMOUB, title="MNO_MOU_BREAKOUT", message="MNO: 猛B（ブレイク）") alertcondition(sigKAKU, title="MNO_KAKU", message="MNO: 確（最終）") alertcondition(sigMOU or sigMOUB or sigKAKU, title="MNO_ALL", message="MNO: 猛/猛B/確 いずれか")
Pine Script® 인디케이터
morishima0ut6b의
Tails and WicksTails and Wicks 📊 A clean price action tool that spots strong wick rejection candles and draws semi-transparent colored boxes around their high-to-low range. 🔍 Boxes extend forward to highlight potential S/R zones – perfect for pinbars, hammers, shooting stars & indecision dojis! 🚀 Features: • 🟢 Bullish tails (long lower wick – default green) • 🔴 Bearish tails (long upper wick – default red) • 🟠 Indecision (both long wicks – default orange) • Independent toggles & custom colors 🎨 • Adjustable wick % threshold (default 60%) • Fixed or infinite right extension ➡️ • Limit recent zones per type (default 4) to keep charts tidy 🧹 • Pure visual – no text clutter (disable "Labels on price scale" in indicator Style tab if needed) Lightweight, customizable, and great for clean price action trading! 💹
Pine Script® 인디케이터
MichaelBalika의
COIN-Clean Market Structure & Trend Confirmation TP(Updated)COIN-Clean Market Structure & Trend Confirmation TP(Updated) — COIN (Simple Trend + Buy/Sell Confirmation + Take-Profit Targets) This indicator is designed to help you trade COIN by clearly showing trend direction, confirmation signals, and predefined take-profit levels. It removes guesswork and helps you stay on the right side of the move. HOW TO LOAD Add the indicator to a COIN chart. Turn on Extended Hours for best results. The default settings are already optimized and do not need to be changed. THE RIBBON (WHAT TO TRADE) The ribbon shows the overall trend. Teal ribbon = price is trending up (look for BUY setups). Red ribbon = price is trending down (look for SELL setups). Gray ribbon = no clear trend (do not trade). If the ribbon is gray, the indicator will block signals to protect you from choppy markets. BULL AND BEAR DOTS (TREND CHANGE ALERTS) Bull dot appears when the trend turns bullish. Bear dot appears when the trend turns bearish. These dots are early warnings, not entries. Always wait for a BUY or SELL arrow before taking a trade. BUY AND SELL ARROWS (WHEN TO ENTER) BUY arrows appear only when conditions strongly favor upward movement. SELL arrows appear only when conditions strongly favor downward movement. These arrows are confirmation signals. Enter only after the arrow appears. Not every move will get a signal. Fewer, higher-quality signals are intentional. OPENING BIAS (FIRST MINUTES PROTECTION) Right after the market opens, the indicator sets a directional bias. During this time, it will only allow trades in the safer direction. This helps avoid getting chopped up during the opening volatility. TAKE-PROFIT TARGETS AND STOP When a BUY or SELL arrow appears, take-profit levels automatically show on the chart: TP1, TP2, and TP3 are profit targets. STOP is where the trade is considered wrong. You can scale out at each target or exit fully at any level. Only the most recent targets are shown to keep the chart clean. SIMPLE WAY TO USE IT Check the ribbon color (teal or red). Ignore the chart if the ribbon is gray. Wait for a BUY or SELL arrow. Use the take-profit targets and stop provided. Do not chase moves without arrows. IMPORTANT NOTES This indicator does not repaint confirmed signals. It is meant to keep trading simple and disciplined. It works best during strong trend days, not sideways markets.
Pine Script® 인디케이터
webemoon의
Box Theory StrategyHere is an explanation of the Box Theory trading strategy. The Core Philosophy This strategy is based on the idea that the market is a battle between buyers and sellers, and that these groups often defend the same price levels they used previously. Instead of trying to predict every move, this method focuses on trading only at the "extremes" where the probabilities are highest, while avoiding the middle of the chart where price action is random. 1. The Setup: Drawing the Box To use this strategy, you must define the "playing field" for the day before you take any trades. Top of the Box: Draw a line at the Previous Day’s High. Bottom of the Box: Draw a line at the Previous Day’s Low. Center Line: Draw a line roughly in the middle of these two points. This box represents the established range where the market recently found value. 2. The Three Zones & Rules Once the box is drawn, the chart is divided into three zones. Each zone dictates a specific action. Zone 1: The Top (Resistance / Sell Zone) What it represents: This is where sellers previously stepped in and pushed the price down. It is a known area of supply. The Rule: NO BUYING. If the price rallies to this level, you should look for Short/Sell opportunities. Why? Buying here means purchasing at a price that was previously rejected. The probability of a reversal (price going down) is high. Zone 2: The Bottom (Support / Buy Zone) What it represents: This is where buyers previously stepped in and pushed the price up. It is a known area of demand. The Rule: NO SELLING. If the price drops to this level, you should look for Long/Buy opportunities. Why? Selling here means shorting into support. The probability of a bounce (price going up) is high. Zone 3: The Middle (Indecision Zone) What it represents: This is the area of noise and confusion. Neither buyers nor sellers have clear control here. The Rule: DO NOT TRADE. Why? In the middle of the range, the odds of the price going up or down are roughly 50/50. Trading here is considered gambling because you do not have a statistical edge. 3. Execution: How to Trade The Entry Short Setup: Wait for the price to touch or slightly pierce the Top of the Box. Enter a short position when you see the price failing to break out (e.g., leaving a wick and closing back inside the box). Long Setup: Wait for the price to touch or slightly pierce the Bottom of the Box. Enter a long position when you see the price failing to break down (e.g., bouncing off the level). Stop Loss (Risk Management) This strategy offers a very clear invalidation point. For Shorts: Place your Stop Loss just above the box. For Longs: Place your Stop Loss just below the box. Logic: If the price clearly breaks out of the box, the range is broken, and you want to exit the trade immediately with a small loss. Take Profit (Targets) First Target: The Center Line. This is a safe place to take some profit or move your stop loss to breakeven. Main Target: The opposite side of the box (e.g., if you sold at the top, target the bottom). 4. Handling Gaps (The "Cheater Box") If the market opens significantly higher or lower than the previous day's range (a large gap), the original box may be too far away to be useful. Adjustment: In this scenario, you can draw a new box using the highest and lowest price points of the current trading session so far. Once this new range is established, apply the same rules: Sell the high, Buy the low, and avoid the middle.
Pine Script® 인디케이터
Prospecttrades의
Box Indicator - Auto Draw Previous Day's - High / Midline / LowThis indicator draws a box around the previous day’s high and low, calculates the midline, and displays them on the current day’s chart. It helps visualize key support/resistance levels from the prior trading day. This script gives you a static reference box from the prior day’s trading range, including a midpoint. It’s useful for spotting potential reversal zones, breakout levels, or intraday targets based on yesterday’s price action.
Pine Script® 인디케이터
alexh1166의
Timeframe Overlay 24HrDaily High–Low Box (00:00–23:59) This indicator highlights each trading day with a shaded box spanning from 00:00 to 23:59 (based on the selected timezone) and covering the day’s highest and lowest price. • Green box when the day closes above its open • Red box when the day closes below its open • Historical days are fully drawn for easy comparison • Current day box builds dynamically as new candles form Useful for visualising daily range, market bias, and intraday structure across all timeframes.
Pine Script® 인디케이터
Knotty0807의