Black Friday高達80%折扣

在腳本中搜尋"Cycle"

Exhaustion Zone [by rukich]🟠 OVERVIEW The indicator shows asset exhaustion — an area of interest where potential buying opportunities can be considered. 🟠 COMPONENTS The indicator is based on a combination of fundamental tools designed to properly react to price movement and volatility. It is displayed on the chart as a green line. When the price touches the indicator line, the candle lights up and is highlighted in green. 🟠 HOW TO USE The best timeframes for using the indicator: 1D and 3D. Since the indicator is used on higher timeframes, the price rarely reaches the indicator line, but it often shows a strong reaction when it does, which suggests that the indicator can be used for investment purposes. Since the zone suggests potential buying opportunities, it’s best to act from the zone only when a reaction is confirmed. Confirmation may include a candle close beyond nearby fractals or the invalidation of the nearest resistance zone. 🟠 CONCLUSION The indicator highlights an area of interest where, upon confirmation of a reaction, buying opportunities may be considered.
Pine Script®指標
由rukich提供
Momentum Day Trading ToolkitMomentum Day Trading Toolkit Complete User Guide Table of Contents Overview Quick Start The Dashboard Module 1: 5 Pillars Screener Module 2: Gap & Go Module 3: Bull Flag / Flat Top Module 4: Float Rotation Module 5: R2G / G2R Module 6: Micro Pullback Signal Reference Quality Score Settings Guide Alerts Setup Trading Workflows Troubleshooting Overview The Momentum Day Trading Toolkit combines 6 powerful indicators into one unified system for day trading momentum stocks. ModulePurpose① 5 PillarsConfirms stock is "in play"② Gap & GoPre-market levels & gap analysis③ Bull Flag / Flat TopClassic breakout patterns④ Float RotationMeasures true interest level⑤ R2G / G2RTracks prior close crosses⑥ Micro PullbackPrecision continuation entries All modules work together - the dashboard shows you everything at a glance, and you can enable/disable any module you don't need. Quick Start Step 1: Add to Chart Add the indicator to any stock chart Recommended timeframes: 1-minute, 5-minute, or 15-minute Step 2: Check the Dashboard (Top Right) Look for: Status = Current state (Scanning, Entry Signal, etc.) Quality Score = Setup rating out of 10 Green checkmarks (✓) = Criteria passing Step 3: Watch for Entry Signals Triangles, circles, diamonds below bars = Entry signals Arrows = R2G/G2R crosses Step 4: Set Alerts Right-click chart → Add Alert Select "Momentum Day Trading Toolkit" Choose your alert condition The Dashboard The dashboard in the top-right corner gives you instant analysis: ┌─────────────────────────────┐ │ MOMENTUM TOOLKIT │ ├─────────────────────────────┤ │ Status │ 🎯 ENTRY SIGNAL │ │ Day │ 🟢 GREEN │ │ Gap │ +8.5% 🔥 │ │ RVol │ 3.2x ✓ │ │ Rotation │ 1.45x 🔥 │ │ Float │ 5.2M 🔥 │ │ Change │ +12.3% ✓ │ │ Pattern │ BULL FLAG! │ │ EMA 9/20 │ Above Both ✓ │ │ VWAP │ Above ✓ │ │ Prior Cl │ 5.91 │ │ PM High │ 9.11 ✓ │ │ Price │ 9.46 ✓ │ └─────────────────────────────┘ Dashboard Row Reference RowWhat It ShowsGood ValuesStatusCurrent state🎯 ENTRY SIGNALDayGreen/Red vs prior close🟢 GREENGapGap % from prior close🔥 (5%+) or 🔥🔥 (10%+)RVolRelative volume✓ (2x+) or ✓✓ (5x+)RotationFloat rotation🔥 (1x) or 🔥🔥 (2x+)FloatFloat in millions🔥 (<5M) or Low (<10M)ChangeDaily % change✓ (meets minimum)PatternPattern statusBREAKOUT!EMA 9/20Trend positionAbove Both ✓VWAPVWAP positionAbove ✓Prior CloseKey R2G levelReference pricePM HighPre-market high✓ = Above itPriceCurrent price✓ = In range Status Messages StatusMeaningActionScanning...Looking for setupsWait✅ ALL PILLARSStock qualifiesWatch for pattern⏳ PATTERN FORMINGSetup developingGet ready🎯 ENTRY SIGNALSignal triggeredExecute trade Module 1: 5 Pillars Screener What It Does Confirms the stock meets basic criteria to be worth trading. The 5 Pillars PillarDefaultWhy It MattersRelative Volume2x+ (5x for "strong")Confirms unusual interestDaily Change5%+Stock is movingPrice Range$1-$20Sweet spot for momentumFloat Size<20M sharesLower float = bigger moves Visual Indicator Green background appears when ALL pillars pass Dashboard Shows Individual pillar status with ✓ checkmarks Quality score includes pillar factors Settings SettingDefaultDescriptionMin RVol2.0xMinimum relative volumeStrong RVol5.0xVolume for full qualificationMin Change5%Minimum daily moveMin Price$1Minimum stock priceMax Price$20Maximum stock priceMax Float20MMaximum float size Module 2: Gap & Go What It Does Analyzes pre-market gaps and displays key price levels. Key Levels Displayed LevelColorDescriptionPrior CloseOrangeYesterday's close - THE key levelPM HighGreenPre-market high - breakout levelPM LowRedPre-market low - support Gap Classification Gap SizeRatingMeaning5-9.9%🔥 QualifyingWorth watching10%+🔥🔥 StrongHigh priority Entry Signal Small green triangle = PM High Breakout How to Trade Stock gaps up in pre-market Wait for market open Look for break above PM High Enter on breakout with stop below PM Low Settings SettingDefaultDescriptionMin Gap %5%Qualifying gap thresholdStrong Gap %10%Strong gap thresholdShow PM LevelsONDisplay PM high/low lines Module 3: Bull Flag / Flat Top What It Does Detects classic continuation patterns and signals breakouts. Bull Flag Pattern ▲ BREAKOUT (Entry Signal) │ ┌────┴────┐ │ Pullback │ ← 2-5 red candles │ (flag) │ Max 50% retrace └─────────┘ │ ┌────┴────┐ │ Pole │ ← 3+ green candles │ (move) │ Strong momentum └─────────┘ Flat Top Pattern ═══════════════ Resistance (2+ touches) │ ▲ BREAKOUT above resistance Entry Signals SignalShapeColorPatternBull Flag Breakout▲ TriangleLimeFlag breaks upFlat Top Breakout◆ DiamondAquaResistance breaks How to Trade Bull Flag See 3+ green candles (the pole) Price pulls back 2-5 red candles Pullback stays above 50% of move Enter on break above pullback high Stop below pullback low Settings SettingDefaultDescriptionMin Pole Candles3Green candles neededMax Pullback5Max red candles allowedMax Retrace50%Max pullback depthFT Touches2Resistance touches neededFT Lookback10Bars to check for resistance Module 4: Float Rotation What It Does Tracks how many times the entire float has traded hands today. The Formula Rotation = Cumulative Day Volume ÷ Float Rotation Levels RotationEmojiMeaning0.5x—Half float traded1.0x🔥FULL rotation - significant!2.0x🔥🔥Double rotation - extreme3.0x+🔥🔥🔥Triple rotation - rare event Why It Matters High rotation = Extreme interest Everyone who owns shares has likely traded Often precedes explosive moves Shows "real" demand beyond just volume Dashboard Shows Current rotation level Fire emojis for milestones Settings SettingDefaultDescriptionFloat SourceAutoAuto-detect or manualManual Float10MIf auto fails, use thisAlert Level1.0xAlert when rotation hits this Module 5: R2G / G2R What It Does Tracks when price crosses the prior day's close - a key psychological level. Red to Green (R2G) 🟢 Prior Close ───────────────── ↗ CROSS TO GREEN ↗ (opened red) Stock opened below prior close (red) Crosses above prior close (green) BULLISH signal Green to Red (G2R) 🔴 (opened green) ↘ ↘ CROSS TO RED Prior Close ───────────────── Stock opened above prior close (green) Crosses below prior close (red) BEARISH signal Entry Signals SignalShapeColorMeaningR2G↑ ArrowLimeCrossed to greenG2R↓ ArrowRedCrossed to red Why R2G Matters Bears who shorted get squeezed Creates FOMO buying Prior close becomes support Momentum often continues Dashboard Shows Current day status (🟢 GREEN / 🔴 RED) Whether R2G or G2R occurred (R2G ✓ or G2R ✓) Settings SettingDefaultDescriptionRequire Opposite OpenONR2G needs red openShow Prior CloseONDisplay the line Module 6: Micro Pullback What It Does Finds precision entries on brief 1-3 candle pullbacks after strong moves. The Pattern ▲ ENTRY (break pullback high) │ ┌──┴───┐ │ 1-3 │ ← Micro pullback (brief!) │ red │ Stop = low of this └──────┘ │ ┌──┴───┐ │ 3+ │ ← Strong move │green │ Momentum building └──────┘ Why Micro Pullbacks Work Tight stop = Pullback low is close Momentum intact = Only paused briefly Early entry = Catch continuation early Clear trigger = Break of pullback high Entry Signal SignalShapeColorMicro Pullback Entry● CircleYellow How to Trade See 3+ green candles (strong move) 1-3 red candles (brief pause) Pullback stays above 50% retrace Enter when green candle breaks pullback high Stop at pullback low Settings SettingDefaultDescriptionMin Green Candles3Candles before pullbackMax Pullback3Max red candlesMax Retrace50%Max pullback depth Signal Reference All Entry Signals (Below Bar) ShapeColorSignalModule▲ Large TriangleLimeBull Flag BreakoutPatterns◆ DiamondAquaFlat Top BreakoutPatterns● CircleYellowMicro Pullback EntryMicro PB▲ Small TriangleGreenPM High BreakoutGap & Go↑ ArrowLimeRed to GreenR2G/G2R Warning Signals (Above Bar) ShapeColorSignalModule↓ ArrowRedGreen to RedR2G/G2R Optional Forming Signals (Disabled by Default) ShapeColorSignal🚩 FlagFaded LimeBull Flag Forming● CircleFaded YellowMicro PB Forming Enable "Show 'Forming' Markers" in settings to see these Quality Score The quality score (0-10) rates the overall setup strength. Scoring Breakdown FactorPointsRVol 5x++2RVol 2x++1Daily change 5%++1Low float (<20M)+1Strong gap (10%+)+2Qualifying gap (5%+)+1Rotation 1x++2Rotation 0.5x++1Above EMA 20+1 Score Interpretation ScoreGradeAction8-10A+Best setups - full position6-7AGood setups - standard size4-5BAverage - reduced size0-3CWeak - skip or paper trade Settings Guide Module Toggles Turn each module ON/OFF: SettingDefaultDescription① 5 Pillars ScreenerONStock qualification② Gap & Go AnalysisONGap & level analysis③ Bull Flag / Flat TopONPattern detection④ Float RotationONRotation tracking⑤ R2G / G2R TrackerONPrior close crosses⑥ Micro PullbackONPullback entries Visual Settings SettingDefaultDescriptionShow DashboardONDisplay info tableTable SizeNormalSmall/Normal/LargeShow Entry SignalsONDisplay entry shapesShow 'Forming' MarkersOFFShow pattern formingShow Key LevelsONPrior close, PM levelsShow EMA 9/20ONTrend EMAsShow VWAPONVWAP line Recommended Presets Minimal (Clean Chart) Show Dashboard: ON Show Entry Signals: ON Show 'Forming' Markers: OFF Show Key Levels: OFF Show EMA: OFF Show VWAP: OFF Standard (Balanced) All defaults Full Analysis All settings ON Alerts Setup Available Alerts AlertTriggerAny Bullish EntryAny entry signal firesBull Flag BreakoutBull flag breaks outFlat Top BreakoutFlat top breaks outMicro Pullback EntryMicro PB triggersPM High BreakoutBreaks above PM highRed to GreenR2G crossGreen to RedG2R crossFloat RotationHits rotation level5 Pillars PassAll pillars qualifyPattern FormingPattern starts formingHigh Quality EntryEntry with score 7+/10 How to Set Alerts Right-click on chart Select "Add Alert" Condition: "Momentum Day Trading Toolkit" Select alert type from dropdown Set expiration and notifications Click "Create" Recommended Alerts For Active Trading: Any Bullish Entry High Quality Entry For Watchlist Monitoring: 5 Pillars Pass Float Rotation Trading Workflows Workflow 1: Full Qualification Step 1: 5 PILLARS └─→ Wait for "✅ ALL PILLARS" status Step 2: CHECK SETUP └─→ Quality score 6+? └─→ Above EMA and VWAP? Step 3: WAIT FOR ENTRY └─→ Bull Flag, Flat Top, or Micro PB signal Step 4: EXECUTE └─→ Enter on signal └─→ Stop below pattern low └─→ Target 2:1 minimum Workflow 2: Gap & Go Step 1: PRE-MARKET └─→ Stock gaps 5%+ (shows in Gap row) Step 2: MARKET OPEN └─→ Note PM High level (green line) Step 3: WAIT FOR BREAK └─→ PM High Breakout signal (small triangle) Step 4: CONFIRM └─→ R2G if opened red (double confirmation) └─→ RVol 2x+ Step 5: EXECUTE └─→ Enter on PM High break └─→ Stop below PM Low Workflow 3: Micro Pullback Scalp Step 1: FIND MOMENTUM └─→ Stock moving, 3+ green candles Step 2: WAIT FOR PAUSE └─→ 1-3 red candles (brief pullback) Step 3: ENTRY └─→ Yellow circle signal appears Step 4: QUICK TRADE └─→ Enter at signal └─→ Tight stop at pullback low └─→ Quick target (1:1 to 2:1) Troubleshooting Q: Lines are moving/jumping on real-time chart? A: This was fixed in latest version. Make sure you have the newest code. Lines now lock in place at market open. Q: Too many signals, chart is cluttered? A: Turn off "Show 'Forming' Markers" Disable modules you don't need Use "Minimal" visual preset Q: No signals appearing? A: Check if "Show Entry Signals" is ON Make sure relevant module is enabled Stock may not meet pattern criteria Q: Dashboard shows wrong float? A: TradingView float data isn't available for all stocks Switch Float Source to "Manual" Enter correct float in millions Q: PM High/Low not showing? A: Only appears during market hours Needs pre-market data to calculate Check if "Show Key Levels" is ON Q: Quality score seems wrong? A: Score updates in real-time Check individual factors in dashboard RVol and rotation change throughout day Q: Alert not triggering? A: Make sure alert is set on correct symbol Check alert hasn't expired Verify condition is set correctly Quick Reference Card Entry Signals ▲ Lime Triangle = Bull Flag Breakout ◆ Aqua Diamond = Flat Top Breakout ● Yellow Circle = Micro Pullback ▲ Green Triangle = PM High Break ↑ Lime Arrow = R2G (bullish) ↓ Red Arrow = G2R (bearish) Dashboard Quick Read 🎯 = Entry signal active ✅ = All pillars pass 🟢 = Day is green 🔥 = Strong (gap/rotation) ✓ = Criteria met ✗ = Criteria failed Quality Score 8-10 = A+ (Best) 6-7 = A (Good) 4-5 = B (Average) 0-3 = C (Weak) Key Levels Orange Line = Prior Close (R2G level) Green Line = PM High (breakout level) Red Line = PM Low (support) Purple Line = VWAP Yellow/Orange = EMA 9/20 Happy Trading! 🎯📈 For questions or issues, use TradingView's comment section on the indicator page.
Pine Script®指標
由DayTradingMD1992提供
Global Liquidity Score Global Liquidity Score – Simple Risk-On / Risk-Off Gauge This indicator measures overall market liquidity conditions using a single, normalized score. It takes several macro and crypto variables, standardizes each one (z-score), and combines them into one clear Liquidity Score Line. You only follow one line (your pink/white line). The background color shows the current liquidity regime. ⸻ What the indicator measures The algorithm looks at four major liquidity sources: 1. USD Liquidity (tightening or easing) • DXY (strong dollar = tighter global liquidity) • US10Y yield (higher yields = liquidity drain) 2. Risk Sentiment (risk-on vs risk-off) • VIX index (volatility) • S&P 500 index (SPX) 3. Credit Market Strength • High-yield ETFs: HYG, JNK • Investment-grade corporate credit: LQD Stronger credit = easier liquidity. Weaker credit = tightening risk. 4. Internal Crypto Liquidity • USDT dominance (higher = risk-off in crypto) • Bitcoin price • TOTAL2 (crypto market cap excluding BTC) These are all converted into z-scores and combined into one metric: Total Liquidity Score = USD Block + Risk Block − Credit Block − 0.5 × Crypto Block ⸻ How to read the colors The indicator uses background colors to show the liquidity regime: Color Meaning Dark Red Severe liquidity tightening / strong risk-off Red Mild-to-moderate tightening Green Liquidity easing / soft risk-on Dark Green Strong easing, high liquidity / risk-on Your pink/white line = the final liquidity score. You only need to follow that single line. ⸻ How to interpret the score 📉 Positive score → Liquidity Tightening (Risk-Off) • USD stronger • Yields rising • Volatility rising • Credit markets weakening • Crypto rotating to stablecoins 📈 Negative score → Liquidity Easing (Risk-On) • USD weakening • Yields falling • Stocks rising • Volatility low • Credit markets strong • Crypto beta assets outperform ⸻ What this indicator is NOT This is not a price predictor. It does not follow BTC directly. It tells you liquidity conditions, not immediate price direction. It answers the macro question: “Is liquidity flowing INTO the market or OUT of the market?” If liquidity is tightening (red), crypto rallies are harder to sustain. If liquidity is easing (green), crypto rallies have more fuel.
Pine Script®指標
由FTH33提供
Relative Performance Analyzer [AstrideUnicorn]Relative Performance Analyzer (RPA) is a performance analysis tool inspired by the data comparison features found in professional trading terminals. The RPA replicates the analytical approach used by portfolio managers and institutional analysts who routinely compare multiple securities or other types of data to identify relative strength opportunities, make allocation decisions, choose the most optimal investment from several alternatives, and much more. Key Features: Multi-Symbol Comparison: Track up to 5 different symbols simultaneously across any asset class or dataset Two Performance Calculation Methods: Choose between percentage returns or risk-adjusted returns Interactive Analysis: Drag the start date line on the chart or manually choose the start date in the settings Professional Visualization: High-contrast color scheme designed for both dark and light chart themes Live Performance Table: Real-time display of current return values sorted from the top to the worst performers Practical Use Cases: ETF Selection: Compare similar ETFs (e.g., SPY vs IVV vs VOO) to identify the most efficient investment Sector Rotation: Analyze which sectors are showing relative strength for strategic allocation Competitive Analysis: Compare companies within the same industry to identify leaders (e.g., APPLE vs SAMSUNG vs XIAOMI) Cross-Asset Allocation: Evaluate performance across stocks, bonds, commodities, and currencies to guide portfolio rebalancing Risk-Adjusted Decisions: Use risk-adjusted performance to find investments with the best returns per unit of risk Example Scenarios: Analyze whether tech stocks are outperforming the broader market by comparing XLK to SPY Evaluate which emerging market ETF (EEM vs VWO) has provided better risk-adjusted returns over the past year HOW DOES IT WORK The indicator calculates and visualizes performance from a user-defined starting point using two methodologies: Percentage Returns: Standard total return calculation showing percentage change from the start date Risk-Adjusted Returns: Cumulative returns divided by the volatility (standard deviation), providing insight into the efficiency of performance. An expanding window is used to calculate the volatility, ensuring accurate risk-adjusted comparisons throughout the analysis period. HOW TO USE Setup Your Comparison: Enable up to 5 assets and input their symbols in the settings Set Analysis Period: When you first launch the indicator, select the start date by clicking on the price chart. The vertical start date line will appear. Drag it on the chart or manually input a specific date to change the start date. Choose Return Type: Select between percentage or risk-adjusted returns based on your analysis needs Interpret Results Use the real-time table for precise current values SETTINGS Assets 1-5: Toggle on/off and input symbols for comparison (stocks, ETFs, indices, forex, crypto, fundamental data, etc.) Start Date: Set the initial point for return calculations (drag on chart or input manually) Return Type: Choose between "Percentage" or "Risk-Adjusted" performance.
Pine Script®指標
由AstrideUnicorn提供
Market Sentiment [NeuraAlgo] Market Sentiment This indicator provides a real-time view of market momentum and sentiment by analyzing bullish and bearish impulses using price and volatility-based calculations. It visualizes trends on the chart and offers a dashboard with key statistics. 1.Status Calculation The Status measures bullish momentum by identifying strong upward impulses. Equation: Status Source = Average of lows where(Low - High ) > ATR For each bar, it checks if the current low minus the high from two bars ago exceeds the Average True Range (ATR) . All lows that satisfy this condition are collected. The average of these lows forms the Status Source , representing the level of strong buying pressure. This helps traders visualize where significant bullish activity is concentrated and gauge upward momentum. 2.Status Source Calculation Similarly, bearish impulses are detected by checking if highs fall below lows from two bars ago beyond ATR thresholds. The corresponding levels form the reference for selling pressure. 3. Trend Strength and States Strength is Quantifies how far the price is from bullish or bearish reference levels as a percentage. Trend States Stability Phase (Gray): Market is quiet, minimal momentum. Positive Flow (Green): Bullish pressure dominates; buyers are in control. Negative Flow (Red): Bearish pressure dominates; sellers lead. State Transition: Market is shifting; momentum is building. 4. Visuals Bar colors indicate trend state: green for bullish, red for bearish, gray for neutral. Filled zones highlight bullish and bearish reference levels for intuitive trend analysis. 5. Dashboard An optional dashboard displays: Sentiment: Visual gradient representing bullish or bearish dominance. Status: Current trend state in concise, human-readable terms. 6. Purpose: This indicator is designed to identify the current market status and the behavior of the asset by analyzing bullish and bearish impulses. It helps traders understand whether the market shows signs of stability, growth, or decline based on the asset’s price action and volatility. Understand the asset behavior Healthy asset behavior Weak asset behavior Market Sentiment combines price action, ATR-based volatility, and impulse tracking to provide a clear and actionable view of market conditions. The BullLine equation ensures that only meaningful bullish moves are highlighted, giving traders a reliable reference for momentum and potential entry points.
Pine Script®指標
由NeuraAlgo提供
2
Hamaada RangeThis indicator plots the Daily DR/IDR range (19:30–23:00 NY) for each weekday, Monday to Friday. It automatically draws the Daily Range (DR) and Initial Daily Range (IDR) highs, lows, midlines, and opening price. Each day’s DR/IDR box extends into the following session for clarity and projection. All lines and colors are fully customizable per-day. Tracks 3-bar swings after the DR window closes. Automatically detects when price violates the DR high or low. Draws a “Swing Violation Line” from the last valid swing to the end of the extension period. Friday DR extends to next Monday and supports cross-week swing violation detection. Background shading, labels, and opening lines are optional. Designed for precision session modeling in NY timezone (America/New_York recommended).
Pine Script®指標
由shariff09z提供
Simple Line📌 Understanding the Basic Concept The trend reverses only when the price moves up or down by a fixed filter size. It ignores normal volatility and noise, recognizing a trend change only when price moves beyond a specified threshold. Trend direction is visually intuitive through line colors (green: uptrend, red: downtrend). ⚙️ Explanation of Settings Auto Brick Size: Automatically determines the brick/filter size. Fixed Brick Size: Manually set the size (e.g., 15, 30, 50, 100, etc.). Volatility Length: The lookback period used for calculations (default: 14). 📈 Example of Identifying Buy Timing When the line changes from gray or red to green, it signals the start of an uptrend. This indicates that the price has moved upward by more than the required threshold. 📉 Example of Identifying Sell Timing When the line changes from green to red, it suggests a possible downtrend reversal. At this point, consider closing long positions or evaluating short entries. 🧪 Recommended Use Cases Use as a trend filter to enhance the accuracy of existing strategies. Can be used alone as a clean directional indicator without complex oscillators. Works synergistically with trend-following strategies, breakout strategies, and more. 🔒 Notes & Cautions More suitable for medium- to long-term trend trading than for fast scalping. If the brick size is too small, the indicator may react to noise. Sensitivity varies greatly depending on the selected brick size, so backtesting is essential to determine optimal values. ❗ The Trend Simple Line focuses solely on direction—remove the noise and focus purely on the trend. 초대 전용 스크립트 이 스크립트에 대한 접근이 제한되어 있습니다. 사용자는 즐겨찾기에 추가할 수 있지만 사용하려면 사용자의 권한이 필요합니다. 연락처 정보를 포함하여 액세스 요청에 대한 명확한 지침을 제공해 주세요. 이 비공개 초대 전용 스크립트는 스크립트 모더레이터의 검토를 거치지 않았으며, 하우스 룰 준수 여부는 확인되지 않았습니다. 트레이딩뷰는 스크립트의 작동 방식을 충분히 이해하고 작성자를 완전히 신뢰하지 않는 이상, 해당 스크립트에 비용을 지불하거나 사용하는 것을 권장하지 않습니다. 커뮤니티 스크립트에서 무료 오픈소스 대안을 찾아보실 수도 있습니다. 작성자 지시 사항 . c9indicator 면책사항 해당 정보와 게시물은 금융, 투자, 트레이딩 또는 기타 유형의 조언이나 권장 사항으로 간주되지 않으며, 트레이딩뷰에서 제공하거나 보증하는 것이 아닙니
Pine Script®指標
由c9indicator提供
Z-Fusion Oscillator | Lyro RSThe Z-Fusion Oscillator converts five momentum indicators into Z-scores and blends them into one normalized signal that adapts across markets. By combining normalization, smoothing, and divergence detection, users can easily identify when momentum is accelerating, weakening, reversing, or entering extreme zones 🔶 USAGE The Z-Fusion Oscillator is designed to give traders a unified reading of market momentum—removing the noise of comparing tools that normally run on different scales. By transforming RSI, MACD histogram, Stochastic, Momentum, and Rate of Change into Z-scores, this tool standardizes all inputs, making trend strength and shifts easier to interpret. A dual-line system (fast Z-fusion line + slower baseline) highlights turning points, while overbought/oversold bands and “X-marks” help traders spot exhaustion and potential reversals. 🔹 Unified Momentum Structure The indicator’s core strength comes from combining five Z-scored signals into one average. Which makes momentum behavior more consistent across assets, reduces false extremes, and highlights true shifts in trend conviction. 🔹 Divergence Detection The tool includes fully integrated divergence detection: Regular Bullish Divergence: Price makes a lower low while Z-Fusion forms a higher low. Regular Bearish Divergence: Price makes a higher high while Z-Fusion forms a lower high Bullish and bearish divergences are marked directly on the oscillator with labels and colored pivot connections, making hidden momentum shifts obvious. 🔹 Visual Extremes Two sets of upper and lower Z-score thresholds help identify: Extreme overbought surges Extreme oversold drops Reversal zones Potential exhaustion conditions Background coloring reinforces when the oscillator moves beyond major levels, helping traders quickly assess momentum pressure. 🔹 Detecting Momentum Anomalies Z-scores allow the oscillator to highlight when market momentum behaves abnormally relative to its own recent history. For example: The oscillator reaching +1 or –1 after an extended trend may indicate a climax. A sharp Z-score reversal within an extreme zone can signal a trend exhaustion or a corrective move. Divergences often appear earlier due to normalization smoothing out indicator noise. This makes the Z-Fusion Oscillator particularly useful for spotting subtle shifts in trend direction that traditional indicators may miss. 🔶 DETAILS 🔹 Composite Z-Score Framework Each momentum tool is smoothed, normalized, and transformed: RSI → EMA-smoothed, Z-scored MACD histogram → Z-scored Stochastic → EMA + SMA smoothing, then Z-scored Momentum → EMA-smoothed, Z-scored Rate of Change → EMA-smoothed, Z-scored These are averaged into one composite Z-score to provide a consistent reading across assets and market conditions. 🔹 Fusion Trend Lines Two lines serve as the core signal: Fast Line (savg) – reacts quicker to trend changes Slow Line (savg2) – acts as a baseline filter Crossovers between these lines highlight momentum shifts, while their color reflects trend bias. 🔹 Overbought/Oversold Zones Two upper and two lower Z-score thresholds define “zones”: Upper zones highlight overheated momentum or potential bearish reversals Lower zones highlight depressed momentum or potential bullish reversals Filled regions and background colors help visually confirm extreme conditions. 🔹 Pivot-Based Divergence Engine The script includes filtered pivot detection with customizable look-backs and range limits to ensure divergences are meaningful, not noise-driven. 🔶 SETTINGS 🔹 Indicator Settings Source — Price series used for all calculations. Z-Score Length — Lookback period for Z-score normalization. Z-Score MA Length — Smoothing length for the fusion signal lines. Overbought/Oversold Levels — Four customizable threshold lines. Color Palette — Choose from preset themes or define custom colors. 🔹 RSI Length — RSI calculation period. EMA Smoothing Length — Smooths RSI before Z-score conversion. 🔹 MACD Fast Length — Fast EMA length. Slow Length — Slow EMA length. Signal Line Length — MACD signal smoothing. 🔹 Stochastic %K Length — Main stochastic length. EMA Smoothing — Smooths %K for stability. %D Length — Smoothing for the signal line. 🔹 Momentum Length — Momentum lookback. EMA Smoothing — Smooths momentum before Z-scoring. 🔹 Rate of Change Length — ROC lookback. EMA Smoothing — Smooths ROC values. 🔹 Divergence Enable/Disable Divergence Detection — Toggle divergence engine. Pivot Left/Right Lookback — Defines pivot detection sensitivity. Detection Range Limits — Controls allowable range for divergence. Bull/Bear Colors & Styling — Customize divergence visualization. 🔶 SUMMARY The Z-Fusion Oscillator combines multiple momentum signatures into a single normalized signal, enabling traders to: Identify reversals early Detect momentum exhaustion Spot bullish and bearish divergences Track overbought/oversold conditions Visualize trend strength with clarity Whether you're a swing trader, intraday analyst, or trend-reversal hunter, the Z-Fusion Oscillator provides a powerful and adaptive way to read momentum.
Pine Script®指標
由LyroRS提供
Static K-means Clustering | InvestorUnknownStatic K-Means Clustering is a machine-learning-driven market regime classifier designed for traders who want a data-driven structure instead of subjective indicators or manually drawn zones. This script performs offline (static) K-means training on your chosen historical window. Using four engineered features: RSI (Momentum) CCI (Price deviation / Mean reversion) CMF (Money flow / Strength) MACD Histogram (Trend acceleration) It groups past market conditions into K distinct clusters (regimes). After training, every new bar is assigned to the nearest cluster via Euclidean distance in 4-dimensional standardized feature space. This allows you to create models like: Regime-based long/short filters Volatility phase detectors Trend vs. chop separation Mean-reversion vs. breakout classification Volume-enhanced money-flow regime shifts Full machine-learning trading systems based solely on regimes Note: This script is not a universal ML strategy out of the box. The user must engineer the feature set to match their trading style and target market. K-means is a tool, not a ready made system, this script provides the framework. Core Idea K-means clustering takes raw, unlabeled market observations and attempts to discover structure by grouping similar bars together. // STEP 1 — DATA POINTS ON A COORDINATE PLANE // We start with raw, unlabeled data scattered in 2D space (x/y). // At this point, nothing is grouped—these are just observations. // K-means will try to discover structure by grouping nearby points. // // y ↑ // | // 12 | • // | • // 10 | • // | • // 8 | • • // | // 6 | • // | // 4 | • // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // // // STEP 2 — RANDOMLY PLACE INITIAL CENTROIDS // The algorithm begins by placing K centroids at random positions. // These centroids act as the temporary “representatives” of clusters. // Their starting positions heavily influence the first assignment step. // // y ↑ // | // 12 | • // | • // 10 | • C2 × // | • // 8 | • • // | // 6 | C1 × • // | // 4 | • // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // // // STEP 3 — ASSIGN POINTS TO NEAREST CENTROID // Each point is compared to all centroids. // Using simple Euclidean distance, each point joins the cluster // of the centroid it is closest to. // This creates a temporary grouping of the data. // // (Coloring concept shown using labels) // // - Points closer to C1 → Cluster 1 // - Points closer to C2 → Cluster 2 // // y ↑ // | // 12 | 2 // | 1 // 10 | 1 C2 × // | 2 // 8 | 1 2 // | // 6 | C1 × 2 // | // 4 | 1 // | // 2 |______________________________________________→ x // 2 4 6 8 10 12 14 // // (1 = assigned to Cluster 1, 2 = assigned to Cluster 2) // At this stage, clusters are formed purely by distance. Your chosen historical window becomes the static training dataset , and after fitting, the centroids never change again. This makes the model: Predictable Repeatable Consistent across backtests Fast for live use (no recalculation of centroids every bar) Static Training Window You select a period with: Training Start Training End Only bars inside this range are used to fit the K-means model. This window defines: the market regime examples the statistical distributions (means/std) for each feature how the centroids will be positioned post-trainin Bars before training = fully transparent Training bars = gray Post-training bars = full colored regimes Feature Engineering (4D Input Vector) Every bar during training becomes a 4-dimensional point: This combination balances: momentum, volatility, mean-reversion, trend acceleration giving the algorithm a richer "market fingerprint" per bar. Standardization To prevent any feature from dominating due to scale differences (e.g., CMF near zero vs CCI ±200), all features are standardized: standardize(value, mean, std) => (value - mean) / std Centroid Initialization Centroids start at diverse coordinates using various curves: linear sinusoidal sign-preserving quadratic tanh compression init_centroids() => // Spread centroids across using different shapes per feature for c = 0 to k_clusters - 1 frac = k_clusters == 1 ? 0.0 : c / (k_clusters - 1.0) // 0 → 1 v = frac * 2 - 1 // -1 → +1 array.set(cent_rsi, c, v) // linear array.set(cent_cci, c, math.sin(v)) // sinusoidal array.set(cent_cmf, c, v * v * (v < 0 ? -1 : 1)) // quadratic sign-preserving array.set(cent_mac, c, tanh(v)) // compressed This makes initial cluster spread “random” even though true randomness is hardly achieved in pinescript. K-Means Iterative Refinement The algorithm repeats these steps: (A) Assignment Step, Each bar is assigned to the nearest centroid via Euclidean distance in 4D: distance = sqrt(dx² + dy² + dz² + dw²) (B) Update Step, Centroids update to the mean of points assigned to them. This repeats iterations times (configurable). LIVE REGIME CLASSIFICATION After training, each new bar is: Standardized using the training mean/std Compared to all centroids Assigned to the nearest cluster Bar color updates based on cluster No re-training occurs. This ensures: No lookahead bias Clean historical testing Stable regimes over time CLUSTER BEHAVIOR & TRADING LOGIC Clusters (0, 1, 2, 3…) hold no inherent meaning. The user defines what each cluster does. Example of custom actions: Cluster 0 → Cash Cluster 1 → Long Cluster 2 → Short Cluster 3+ → Cash (noise regime) This flexibility means: One trader might have cluster 0 as consolidation. Another might repurpose it as a breakout-loading zone. A third might ignore 3 clusters entirely. Example on ETHUSD Important Note: Any change of parameters or chart timeframe or ticker can cause the “order” of clusters to change The script does NOT assume any cluster equals any actionable bias, user decides. PERFORMANCE METRICS & ROC TABLE The indicator computes average 1-bar ROC for each cluster in: Training set Test (live) set This helps measure: Cluster profitability consistency Regime forward predictability Whether a regime is noise, trend, or reversion-biased EQUITY SIMULATION & FEES Designed for close-to-close realistic backtesting. Position = cluster of previous bar Fees applied only on regime switches. Meaning: Staying long → no fee Switching long→short → fee applied Switching any→cash → fee applied Fee input is percentage, but script already converts internally. Disclaimers ⚠️ This indicator uses machine-learning but does not predict the future. It classifies similarity to past regimes, nothing more. ⚠️ Backtest results are not indicative of future performance. ⚠️ Clusters have no inherent “bullish” or “bearish” meaning. You must interpret them based on your testing and your own feature engineering.
Pine Script®指標
由InvestorUnknown提供
2
MTF FVG 智能終極版 (Smart Clean)指標名稱：MTF FVG 智能終極版 (Smart Clean) 簡潔介紹 這是一款專為專業交易者設計的 多週期失衡區 (FVG) 監控系統，核心特色如下： 五維度監控： 在任何圖表上同時顯示 月、周、日、4H、2H 五種級別的支撐壓力缺口。 智慧重疊清理 (獨家)： 當價格重疊時，自動刪除舊框框，只保留最新的 1~3 個（可設定）；若無重疊則完整保留歷史痕跡。確保圖表乾淨且資訊不遺漏。 完美視覺體驗： 大週期無限延伸，小週期固定長度。 文字自動靠右並智慧留白，確保不遮擋右側價格座標。 深色邊框 + 淺色填充 + 中線虛線，層次分明。 Indicator Name: MTF FVG Smart Clean Ultimate Edition Brief Introduction This is a multi-timeframe Free Gaps (FVG) monitoring system designed for professional traders. Its core features include: Five-Dimensional Monitoring: Simultaneously displays support, resistance, and gaps at five timeframes (monthly, weekly, daily, 4H, and 2H) on any chart. Intelligent Overlap Cleanup (Exclusive): When prices overlap, automatically deletes old boxes, retaining only the latest 1-3 (configurable); if there is no overlap, it retains all historical data. Ensures a clean chart and complete information. Perfect Visual Experience: Larger timeframes extend infinitely, while smaller timeframes have fixed lengths. Text automatically aligns to the right with intelligent white space to ensure it doesn't obscure the price coordinates on the right. Dark borders + light fill + dashed center line create clear visual hierarchy.
Pine Script®指標
由weiting_emerald提供
CME Bitcoin Weekend Gap (Global) @jerikooDescription: The Problem: You are watching the wrong hours. Many traders assume CME Bitcoin futures follow standard stock market hours or open Monday morning. This is incorrect. Stock Market: Opens Monday morning. CME Bitcoin: Opens Sunday Evening (US Time). If you are in Europe, this means the market actually opens at Midnight (00:00) Monday. If you are waiting for the "Monday Morning Open," you are late. The Solution: True Gap Detection This indicator highlights the exact downtime of the CME Bitcoin Futures market to help you identify true liquidity gaps. Why this script is different: Most gap scripts break when you change your chart's time zone (e.g., switching from UTC to New York). This script is Universal. Hardcoded Exchange Time: It calculates logic based on "America/Chicago" (CME HQ) time, regardless of your local chart settings. Manual Offset Fix: Some data feeds have a +/- 1 or 2-hour sync difference depending on the broker. This script includes a "Hour Shift" setting to manually align the box perfectly to your specific candles. How to use: Add to your chart. Look for the Dark Green highlighted zone. This zone represents the Weekend Gap (Friday Close to Sunday Open). Troubleshooting: If the box starts 1-2 hours too early or too late, go to Settings and change the "Hour Shift" value (e.g., -1, +1) until it snaps perfectly to the Friday close candle. Technical Details: CME Close: Friday 16:00 CT CME Open: Sunday 17:00 CT Color: Dark Green (50% Transparency) Step 3: Categories & Tags Select these options in the right-hand menu of the publishing page. Category: Trend Analysis OR Bitcoin Tags: CME Bitcoin BTC Gap Futures Weekend Step 4: Final Checklist Before Clicking "Publish" Load the Code: Make sure the "Manual Fix" version of the code (the last one I gave you) is currently open in the Pine Editor. Add to Chart: You must click "Add to Chart" so the script is visible on your screen before publishing. Privacy: Select Public (so others can search for it) or Private (if you only want to share the link). Visibility: Choose Open (so others can see the code) or Protected (if you want to hide the code, though Open is better for simple scripts like this).
Pine Script®指標
由jerikoo提供
BTC Risk Metric DCA Adapter (3Commas Webhook Strategy)Risk Metric DCA Adapter (3Commas Webhook Strategy) - WORK IN PROGRESS This Pine Script strategy, originally inspired by the Risk Metric Indicator, is fundamentally engineered as an Adapter to interface with external trading bots like 3Commas via Webhooks. It calculates a dynamic market risk score and translates that score into specific dollar-cost averaging (DCA) entry levels and tiered profit-taking exits. Key Features & Logic Risk Metric Calculation (Credit to The Trading Parrot): The strategy incorporates a complex, multi-timeframe Risk Metric calculation based on daily and weekly moving averages (SMA) and standard deviation (StDev). This metric aims to quantify the current market overextension or compression relative to long-term historical data. The resulting score dictates the level of conviction for a new trade. Tiered DCA Entry Sizing: The strategy defines three distinct Buy Levels (L1, L2, L3) corresponding to increasingly favorable (lower) Risk Metric scores. L1 (Base): Risk is moderate, initiating the minimum defined trade amount. L2 (Scaled): Risk is low, initiating L1 amount + L2 amount. L3 (Aggressive): Risk is very low, initiating L1 + L2 + L3 amounts. Tiered Profit-Taking Exits: The strategy implements a staggered, partial profit-taking approach based on the Risk Metric rising: Sell L1 & L2: Closes a percentage of the current position when the Risk Metric reaches defined high thresholds, locking in partial profits. Sell L3 (Full Exit): Closes the remaining position when the Risk Metric reaches the highest defined threshold. The Adapter Function (Webhook Integration) This script is unique because it uses the Pine Script strategy() function to trigger Order Fills, which are necessary to access powerful placeholders in the TradingView alert system. Trigger Type: The alert must be set to trigger on Any order fill. Dynamic Webhook Data: Instead of using fixed alert() commands, the strategy generates dynamic labels (e.g., BUY_ENTRY_L3_USD_1000 or SELL_L1_PCT_25) using the strategy.entry and strategy.close commands. Data Transfer: The alert message then uses the placeholder {{strategy.order.comment}} to pass these dynamic labels to the 3Commas bot, allowing the bot to execute the precise action (e.g., start_deal_with_volume_in_quote_currency or close_deal_at_market_percentage). Full Strategy Webhook payload { "secret": "YOUR_3COMMAS_SECRET_KEY", "max_lag": "300", "timestamp": "{{timenow}}", "trigger_price": "{{close}}", "tv_exchange": "{{exchange}}", "tv_instrument": "{{ticker}}", "action": "{{strategy.order.action}}", "bot_uuid": "YOUR_BOT_UUID", "strategy_info": { "market_position": "{{strategy.market_position}}", "market_position_size": "{{strategy.market_position_size}}", "prev_market_position": "{{strategy.prev_market_position}}", "prev_market_position_size": "{{strategy.prev_market_position_size}}" }, "order": { "amount": "{{strategy.order.contracts}}", "currency_type": "base", "comment": "{{strategy.order.comment}}" } } Disclaimer: This script is an adapter tool and does not guarantee profit. Trading requires manual configuration of risk settings, bot parameters, and adherence to platform-specific setup instructions.
Pine Script®策略
由nakphanan提供
RSI Ensemble Confidence [CHE]RSI Ensemble Confidence — Measures RSI agreement across multiple lengths and price sources Summary This indicator does not just show you one RSI — it shows you how strongly dozens of different RSI variants agree with each other right now. The Confidence line (0–100) is the core idea: - High Confidence → almost all RSIs see the same thing → clean, reliable situation - Low Confidence → the RSIs contradict each other → the market is messy, RSI signals are questionable How it works (exactly as you wanted it described) 1. Multiple RSIs instead of just one The indicator builds a true ensemble: - 4 lengths (default 8, 14, 21, 34) - 6 price sources (Close, Open, High, Low, HL2, OHLC4 – individually switchable) → When everything is enabled, up to 24 different RSIs are calculated on every single bar. These 24 opinions form a real “vote” about the current market state. 2. Mean and dispersion From all active RSIs it calculates: - rsiMean → the average opinion of the entire ensemble (orange line) - rsiStd → how far the individual RSIs deviate from each other Small rsiStd = they all lie close together → strong agreement Large rsiStd = they are all over the place → contradiction 3. Confidence (0–100) The standard deviation is compared to the user parameter “Max expected StdDev” (default 20): - rsiStd = 0 → Confidence ≈ 100 - rsiStd = maxStd → Confidence ≈ 0 - Everything in between is scaled linearly If only one RSI is active, Confidence is automatically set to ~80 for practicality. What you see on the chart 1. Classic reference RSI – blue line (Close, length 14) → your familiar benchmark 2. Ensemble mean – orange line → the true consensus RSI ±1 StdDev band (optional) → shows dispersion directly: - narrow band = clean, consistent setup - wide band = the RSIs disagree → caution 3. Confidence line (aqua, 0–100) → your quality meter for any RSI signal 4. StdDev histogram (optional, fuchsia columns) → raw dispersion if you prefer the unscaled value 5. Background coloring - Greenish ≥ 80 → high agreement - Orange 60–80 → medium - Reddish < 40 → strong disagreement - Transparent below that 6. Two built-in alerts - High Confidence (crossover 80) - Low Confidence (crossunder 40) Why this indicator is practically useful 1. Perfect filter for all RSI strategies Only trade overbought/oversold, divergences, or failures when Confidence ≥ 70. Skip or reduce size when Confidence < 40. 2. Protection against overinterpretation You immediately see whether a “beautiful” RSI hook is confirmed by the other 23 variants — or whether it’s just one outlier fooling you. 3. Excellent regime detector Long periods of high Confidence = clean trends or clear overbought/oversold phases Constantly low Confidence = choppy, noisy market → RSI becomes almost useless 4. Turns gut feeling into numbers We all sometimes think “this setup somehow doesn’t feel right”. Now you have the exact number that says why. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script®指標
由chervolino提供
Chop Meter + Trade Filter 1H/30M/15M (Ace PROFILE v3)💪 How to Actually Use This (The MMXM Way) 1️⃣ Check the Status Before ANY trade If it says NO TRADE → Do not fight it. Your psychology stays clean. 2️⃣ If TRADE (1M NO TRADE – 15M CHOP) Avoid: 1M SIBI/OB 1M BOS/CHOCH 1M SMT 1M Silver Bullet windows Use only higher-timeframe breaks. 3️⃣ If ALL THREE are NORMAL → Full Go Mode Every tool is unlocked: 1M microstructure 1M FVG snipes Killzones Silver Bullet SMT timing MMXM purge setups This is where your best trades come from. 4️⃣ If 30M is CHOP Sit tight. It’s a trap day or compression box. This one filter alone will save you: FOMO losses False expansion traps Microstructure whipsaws News fakeouts Reversal cliffs Algo snapbacks 🧠 Why This Indicator Works No indicators. No RSI. No Bollinger. No volume bullshit. Just structure, time, and compression — exactly how the algorithm trades volatility. When this tool says NO TRADE, it is telling you: “This is NOT the moment the algorithm will expand.” And that’s the whole game. 🔥 Summary Condition Meaning Action 30M = CHOP 30M box active No trading at all 2+ TF CHOP HTF compression No trading 15M CHOP Micro compression No 1M entries All NORMAL Expansion conditions Full Go Mode
Pine Script®指標
由TIMEANDPRICEPR提供