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RMI Valid FVG & IFVGRMI • Valid FVG & iFVG (Smart Money Concept) RMI • Valid FVG & iFVG is a precision-focused Fair Value Gap indicator designed for traders who follow Smart Money Concepts (SMC) / ICT logic and want to filter out low-quality, random gaps. This indicator does not plot every FVG. It highlights only structurally relevant FVGs that form in the direction of the trend and have a high probability of being filled. Core Features Bullish & Bearish Fair Value Gaps Inverse Fair Value Gaps (iFVG) Trend-aligned FVG filtering Automatic invalidation after mitigation Clean background zones for clear visibility Optimized for intraday trading Adjustable settings for scalping, intraday & swing trading Smart Filtering Logic FVGs are validated using market structure context Only FVGs that form within the active trend are displayed Weak or low-probability gaps are ignored Inverse FVGs appear after strong displacement and rejection Zones are visually faded once mitigated This helps reduce chart noise and keeps the focus on high-probability reaction zones. Best Use Cases Entry refinement after BOS / CHoCH Confluence with liquidity grabs Premium / discount zone trading Intraday & session-based trading Works well with ICT, SMC, price action & structure-based strategies Recommended Timeframes Scalping: M1 – M5 Intraday (default): M5 – M15 Swing Trading: M15 – H1 (Default settings are optimized for intraday trading.) Important Notes This is not a signal indicator No repainting No buy/sell arrows Designed as a decision-support tool, not an automated system Always combine with proper risk management and confirmation. RMI • Precision over noise. Trade structure, not randomness.
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RMI_INVEST의
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.
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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.
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Knotty0807의
BTC - Bitcoin Strategic Dashboard by RM Title: BTC - Bitcoin Strategic Dashboard | RM Overview & Philosophy The Bitcoin Strategic Dashboard is a comprehensive analytics tool designed to provide deeper market context beyond simple price action. While a standard chart displays price history, this dashboard focuses on the structural health of the market. It aims to answer clearer questions: Is the asset statistically overextended? Is the current volatility compressed or expanding? How is Bitcoin currently correlating with traditional equity markets? This script aggregates key data points—Performance, Risk, Valuation, and Macro Correlations—into a single, organized table. It is designed to be a quiet, high-density reference tool that sits unobtrusively in the corner of your screen, helping to contextualize daily price movements without cluttering your workspace. Methodology & Module Breakdown The dashboard is divided into 5 strategic modules. Here is exactly how to read them, how they are calculated, and how to interpret the data. 1. PERFORMANCE This section answers: "Is Bitcoin actually beating the traditional market, and by how much?" BTC Return : The raw percentage growth of Bitcoin. Timeframes: 1-Year (Tactical Trend) and 4-Year (The Halving Cycle). Alpha (vs SPX / Gold): Meaning : "Alpha" measures true outperformance. It tells you how much better your capital worked in Bitcoin compared to the S&P 500 (Stocks) or Gold. Calculation : We use a Relative Growth Ratio. Instead of simple subtraction, we calculate the growth factor of BTC divided by the growth factor of the Benchmark. Interpretation : Green: Bitcoin is outperforming. It is the superior vehicle for capital. Red: Bitcoin is underperforming traditional assets (Opportunity Cost is high). 2. RISK PROFILE This section answers: "How dangerous is the market right now?" Drawdown (DD): Meaning : The percentage loss from the 1-Year High. Interpretation : Deep Drawdowns (e.g., > -50%) historically signal generational buying opportunities (Deep Red). Small Drawdowns (< -5%) signal we are near "Discovery Mode" (Blue/Green). Sharpe Ratio: Meaning : The industry standard for "Risk-Adjusted Return." It asks: "Is the profit worth the stress?" Timeframe : Annualized over 365 Days. Interpretation : > 1.0: Good. The return justifies the risk. > 2.0: Excellent. (Dark Green). < 0.0: Bad. You are taking risk for negative returns. Sortino Ratio: Meaning : Similar to Sharpe, but it only counts downside volatility as "risk." Bitcoin often rallies aggressively (Good Volatility); Sortino ignores the upside "risk" and focuses only on minimizing losses. Volatility (Vol) & Rank: Meaning : How violently the price is moving. Calculation : We compare the current 30-Day Volatility against the last 4 Years of volatility history (Rank 0-100). Interpretation (The Squeeze Strategy) : BLUE (Cold / <25%): Volatility is historically low. The market is "compressed." Big moves often follow these periods. RED (Hot / >75%): Volatility is extreme. High risk of mean reversion or panic. 3. VALUATION & MOMENTUM This section answers: "Is Bitcoin cheap or expensive?" Mayer Multiple (MM): Meaning: A "Godfather" of Bitcoin ratios. Calculation : Current Price divided by the 200-Day Moving Average. Interpretation : < 0.8 (Blue): Historically "Cheap." 1.0: Fair Value (Price = Trend). > 2.4 (Red): Speculative Bubble territory. RSI (Relative Strength Index): Timeframe : 14 Days. Interpretation : >70 suggests the market is overheated (Red). <30 suggests oversold conditions (Blue). Trend (ADX) : Meaning : The Average Directional Index measures the strength of a trend, not the direction. Interpretation : Values >25 (Green) indicate a strong trend is present. Values <20 (Gray) indicate a choppy/sideways market (no trend). vs 200W (Macro): Meaning : The distance to the 200-Week Moving Average. Interpretation : This line is historically the "Cycle Bottom" or "Absolute Support" for Bitcoin. Being close to it (or below it) is rare and often marks cycle lows. 4. MACRO CORRELATIONS This section answers: "Is Bitcoin moving on its own, or just following the Stock Market?" vs TradFi (SPX): Timeframe : 90-Day Correlation Coefficient. Interpretation : High Positive (Red): BTC is just acting like a tech stock. No "Safe Haven" status. Negative/Zero (Green): BTC is "decoupled." It is moving independently of Wall Street. vs DXY (US Dollar): Interpretation : Bitcoin usually moves inverse to the Dollar. Negative (Green): Normal healthy behavior. Positive (Red): Warning signal. If both DXY and BTC rise, something is breaking in the system. 5. HISTORICAL LEDGER A Year-by-Year breakdown of returns. Feature : You can toggle the comparison column in the settings to compare Bitcoin against either S&P 500 or Gold. Usage : Helps visualize the cyclical nature of returns (e.g., the 4-year cycle pattern of Green-Green-Green-Red). How to Read the Visuals (Heatmap) The dashboard uses a standardized Bloomberg-style heatmap to let you assess the market state in milliseconds: 🟢 Green: Profit / Good Performance / Positive Alpha. 🔴 Red: Loss / Overheating / High Risk. 🔵 Blue: "Cold" / Cheap / Low Volatility (Potential Buy Zones). 🟠 Orange: Warning / High Drawdown. ⚫ Gray/Black: Neutral or Fair Value. Settings & Customization Visuals: Change the text size (Tiny, Small, Normal) to fit your screen resolution. Modules: You can toggle individual sections on/off to save screen space. Calculation: Switch the Historical Benchmark between "S&P 500" and "Gold" depending on your thesis. Disclaimer This script is for research and educational purposes only. The metrics provided (Sharpe, Sortino, Mayer Multiple) are derived from historical data and do not guarantee future performance. "Cheap" (Low Mayer Multiple) does not mean the price cannot go lower. Always manage your own risk. Tags bitcoin, btc, bloomberg, terminal, dashboard, onchain, mayer multiple, sharpe ratio, volatility, alpha, risk management, Rob Maths
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Rob_Maths의
Momentum Burst Pullback System v66* Detects **momentum “bursts”** using: * **Keltner breakout** (high above upper band for long, low below lower band for short), and/or * **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign). * Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst. * Marks bursts with **K** (Keltner) and **M** (MACD) labels: * Core burst labels use one color, extension labels use a different color. * Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context). * Adds **structure-based invalidation**: * On a new **core burst**, it locks the most recent **confirmed swing** level (pivot): * Long: locks the last confirmed **swing low**. * Short: locks the last confirmed **swing high**. * After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped). * Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars: * Long pullback requires a sequence of **lower highs** and price still below the burst high. * Short pullback requires **higher lows** and price still above the burst low. * Optional background shading highlights pullback bars. * On pullback bars, plots **static TP/SL crosses** using ATR: * Anchor is the pullback bar’s high (long) or low (short). * TP/SL are ± ATR * multiple. * TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme. * Maintains a **state-machine entry + trailing stop**: * Sets a “waiting” trigger on pullback. * Enters when price breaks the trigger (high break for long, low break for short). * Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP. * Optionally draws the trailing stop as horizontal line segments. * Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
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Flatlands1900의
SigmaFlowSigmaFlow is a professional signal management connector designed to work with the SigmaFlow app. This indicator allows traders to structure trade setups (Entry, Stop Loss, TP1, TP2) on TradingView and send them into the SigmaFlow platform, where signals are managed, tracked, and delivered to Telegram. Professional signal management — from TradingView to Telegram. How SigmaFlow Works: Sends trade data from TradingView to Telegram via the SigmaFlow platform. SigmaFlow handles signal management, organization, history tracking, performance metrics, and Telegram delivery. What It Does NOT Do: Does not generate trading signals Does not provide investment advice Does not execute trades Requirements: TradingView plan with webhook alerts* Active SigmaFlow account* Disclaimer SigmaFlow is a signal management and delivery tool only. All trade ideas are created manually by users. Trading involves risk and past performance does not guarantee future results.
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CodyKing의
Monthly DI+ & RSI StrategyOverview This strategy is designed to capture significant trend reversals and continuations on the Monthly timeframe. It combines the trend-following capability of the Directional Movement Index (DMI) with the fast momentum detection of RSI (Period 6). Core Logic The strategy triggers a long position based on a dual-confirmation system. It looks for a specific "handshake" between Trend (DI) and Momentum (RSI). Entry Conditions (OR Logic) A Buy signal is generated if EITHER of the following occurs: Trend Trigger: DI+ crosses over DI- (while RSI is already bullish, trading above its SMA). Momentum Trigger: RSI(6) crosses over RSI SMA(14) (while the trend is already bullish, with DI+ > DI-). Exit Condition (Stop Loss) Trend Reversal: The position is closed immediately if DI- crosses over DI+, indicating the bullish trend has been invalidated. Default Settings Timeframe: Optimized for 1M (Monthly) charts. RSI: Length 6 RSI SMA: Length 14 DMI: Length 14 / Smoothing 14 Risk Warning This script is for educational purposes only. Past performance does not guarantee future results. Always backtest on your specific asset classes before trading.
Pine Script™ 전략
Ganamurthy의
Rainbow MA Cloud█ OVERVIEW Rainbow MA Cloud displays 8 Moving Averages as a gradient-colored cloud to visualize trend direction and strength. The "rainbow" effect shows momentum through ribbon width, while perfect MA alignment signals strong trending conditions. █ CONCEPTS The indicator uses 8 MAs with Fibonacci-based default lengths (8, 13, 21, 34, 55, 89, 144, 233) to create a layered view of price momentum across multiple timeframes. Perfect Alignment Detection: • Bullish Alignment — All 8 MAs in ascending order (MA1 > MA2 > ... > MA8) Indicates strong uptrend with momentum across all timeframes • Bearish Alignment — All 8 MAs in descending order (MA1 < MA2 < ... < MA8) Indicates strong downtrend with aligned selling pressure • Mixed — MAs are not in sequential order, suggesting consolidation or transition Ribbon Width: • Widening ribbon = Trend acceleration, increasing momentum • Narrowing ribbon = Trend weakening, potential reversal or consolidation █ FEATURES 1 — MA Configuration Choose from EMA, SMA, WMA, VWMA, or HMA calculation methods. All 8 MA lengths are fully customizable. 2 — Color Themes Five built-in themes: Rainbow, Warm, Cool, Neon, Mono. Creates visually distinct gradient from fast to slow MAs. 3 — Alignment Background Green background during bullish alignment. Red background during bearish alignment. Helps quickly identify strong trending periods. 4 — Trend Signals Labels appear when perfect alignment forms. "BULL ALIGN" for bullish, "BEAR ALIGN" for bearish. 5 — Information Panel Real-time display of alignment status, trend strength percentage, ribbon width, price position relative to cloud, and MA values. █ HOW TO USE Entry Signals: • Look for alignment signals (BULL/BEAR ALIGN) as trend confirmation • Enter long when bullish alignment forms with price above cloud • Enter short when bearish alignment forms with price below cloud Trend Following: • Stay in position while alignment background color persists • Widening ribbon confirms trend continuation • Exit or reduce when alignment breaks (background disappears) Support/Resistance: • Cloud edges act as dynamic support (bullish) or resistance (bearish) • Price entering cloud suggests consolidation or potential reversal █ LIMITATIONS • Alignment signals are lagging by nature (based on MA crossovers) • Works best on trending markets; generates mixed signals during ranging periods • Ribbon width measurement uses outer MAs only (MA1 vs MA8) █ COMPANION INDICATOR Use "Rainbow MA Width" indicator for detailed Z-Score analysis of ribbon expansion/contraction patterns.
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viva_lee의
Session HeatmapIntraday Seasonality Overview Analyzes historical patterns by time of day. Identifies when volatility, volume, and open interest changes tend to be highest or lowest. Features Multiple Metrics: TR (volatility), Volume, and Open Interest changes Flexible Grouping: View patterns by weekday or month to spot day-of-week or seasonal effects Heatmap Visualization: Blue (low) to Red (high) color scale for quick pattern recognition Percentile Mode: Reduces outlier impact by using 5th-95th percentile range Timezone Support: Display in UTC alongside your local time Metrics Explained TR: Volatility - when markets move most Volume: Liquidity - when participation is highest OI Increase: When new positions are opened OI Decrease: When positions are closed OI Net: Net open interest change Usage Set your timezone and preferred slot size (30min/1H) Choose a date range (relative or custom) Select a metric to analyze Use "Group By" to see weekday or monthly patterns Switch to Percentile color scale if outliers dominate Notes Chart timeframe should be equal to or smaller than Slot Size OI metrics require Binance Perpetual symbols DST is not automatically adjusted; consider seasonal shifts for US/EU sessions
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ketan_kee의
Hybrid Trend-Following Inside Bar BreakoutHybrid Trend-Following Inside Bar Breakout Strategy The Hybrid Trend-Following Inside Bar Breakout Strategy is a rule-based trading system designed to capture strong directional moves while controlling risk during uncertain market conditions. It combines trend-following, price action, and volatility-based risk management into a single robust framework. Core Concept The strategy trades inside bar breakouts only in the direction of the dominant market trend. Inside bars represent periods of consolidation, and when price breaks out of this consolidation in a trending market, it often leads to impulsive moves with favorable risk–reward characteristics. Key Components 1. Trend Filter Uses 50 EMA and 200 EMA to define the market trend. Bullish bias: 50 EMA above 200 EMA Bearish bias: 50 EMA below 200 EMA This filter prevents counter-trend trades and improves trade quality. 2. Volatility Filter Compares fast ATR (14) with slow ATR (50). Trades are taken only when volatility is expanding or above a minimum threshold. This avoids low-volatility, choppy market conditions. 3. Inside Bar Breakout An inside bar forms when the current candle’s high is lower than the previous candle’s high and the low is higher than the previous candle’s low. A trade is triggered only when price breaks above or below the inside bar range in the direction of the trend. 4. Candle Quality Filter Requires a minimum body-to-range ratio, ensuring that the breakout candle has strong momentum and is not driven by weak wicks. Risk Management & Trade Management Stop Loss (SL) Placed using ATR-based dynamic stops, adapting to current market volatility. Prevents tight stops in volatile conditions and wide stops in calm markets. Partial Profit Taking 50% of the position is exited at 1.5R, locking in profits early. This reduces psychological pressure and improves equity stability. Trailing Stop After partial profit is taken, the remaining position is managed with an ATR-based trailing stop. Allows the strategy to capture large trend moves while protecting gains. Cooldown Mechanism After a losing trade, the system enters a cooldown period and skips a fixed number of bars. This helps avoid revenge trading and overtrading during unfavorable market phases. Why This Strategy Works Trades only high-probability breakouts in trending markets Adapts automatically to changing volatility Combines price action precision with systematic risk control Designed for consistent performance over long historical periods
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JeET369의
BTC - ALSI: Altcoin Season Index (Dynamic Eras)Title: BTC - ALSI: Altcoin Season Index (Dynamic Eras) Overview & Philosophy The Altcoin Season Index (ALSI) is a quantitative tool designed to answer the most critical question in crypto capital rotation: "Is it time to hold Bitcoin, or is it time to take risks on Altcoins?" Most "Altseason" indicators suffer from Survivor Bias or Obsolescence. They either track a static list of coins that includes "dead" assets from previous cycles (ghosts of 2017), or they break completely when major tokens collapse (like LUNA or FTT). This indicator solves this by using a Time-Varying Basket. The indicator automatically adjusts its reference list of Top 20 coins based on historical eras. This ensures the index tracks the winners of the moment—capturing the DeFi summer of 2020, the NFT craze of 2021, and the AI/Meme narratives of 2024/2025. Methodology The indicator calculates the percentage of the Top 20 Altcoins that are outperforming Bitcoin over a rolling window (Default: 90 Days). The "Win" Count: For every major Altcoin performing better than BTC, the index adds a point. Dynamic Eras: The basket of coins changes depending on the date: 2020 Era (DeFi Summer): Tracks the "Blue Chips" of the DeFi revolution like UNI, LINK, DOT, and early movers like VET and FIL. 2021 Era (Layer 1 Wars): Tracks the explosion of alternative smart contract platforms, adding winners like SOL, AVAX, MATIC, and ALGO. 2022 Era (The Survivors): Filters for resilience during the Bear Market, solidifying the status of established assets like SHIB and ATOM. 2023 Era (Infrastructure & Scale): Captures the rise of "Next-Gen" tech leading into the pre-halving year, introducing TON, APT (Aptos), and ARB (Arbitrum). 2024/25 Era (AI & Speed): Tracks the current Super-Cycle leaders, focusing on the AI narrative (TAO, RNDR), High-Performance L1s (SUI), and modern Memes (PEPE). Chart Analysis & Strategy ( The "Alpha" ) As seen in the chart above, there is a strong correlation between ALSI Peaks and local tops in TOTAL3 (The Crypto Market Cap excluding BTC & ETH). The Entry (Rotation): When the indicator rises above the neutral 50 line, it signals that capital is beginning to rotate out of Bitcoin and into Altcoins. This has historically been a strong confirmation signal to increase exposure to high-beta assets. The Exit (Saturation): When the indicator hits 100 (or sustains in the Red Zone > 75), it means every single Altcoin is beating Bitcoin. Historically, this extreme exuberance often marks a local top in the TOTAL3 chart. This is the zone where smart money typically sells into strength, rather than opening new positions. How to Read the Visuals 🚀 Altcoin Season (Red Zone > 75): Strong Altcoin dominance. The market is "Risk On." 🛡️ Bitcoin Season (Blue Zone < 25): Bitcoin dominance. Alts are bleeding against BTC. Historically, this is a defensive zone to hold BTC or Stablecoins. Data Dashboard: A status table in the bottom-right corner displays the live Index Value, current Regime, and a System Check to ensure all 20 data feeds are active. Settings Lookback Period: Default 90 Days. Lowering this (e.g., to 30) makes the index faster but noisier. Thresholds: Adjustable zones for Altcoin Season (Default: 75) and Bitcoin Season (Default: 25). Credits & Attribution This open-source indicator is built on the shoulders of giants. I acknowledge the original creators of the concept and the pioneers of its implementation on TradingView: Original Concept: BlockchainCenter.net. - They established the industry standard definition: 75% of the Top 50 coins outperforming Bitcoin over 90 days = Altseason.. TradingView Implementation: Adam_Nguyen - He implemented the "Dynamic Era" logic (updating the coin list annually) on TradingView. Our code structure for the time-based switching is inspired by his methodology. See also his implementation in the chart. ( Altcoin Season Index - Adam) . Comparison: Why use ALSI | RM? While inspired by the above, ALSI introduces three key improvements: Open Source: Unlike other popular TradingView versions (which are closed-source), this script is fully transparent. You can see exactly which coins are triggering the signal. Sanitized History (Anti-Fragile): Historical Top 20 snapshots are not blindly used. "Dead" coins (like LUNA and FTT) from previous eras are manually filtered out. A raw index would crash during the Terra/FTX collapses, giving a false "Bitcoin Season" signal purely due to bad actors. The curated list preserves the integrity of the market structure signal. Narrative Relevance: The 2024/25 basket was updated to include TAO (Bittensor) and RNDR, ensuring the index captures the dominant AI narrative, rather than tracking fading assets from the previous cycle. You can compare the ALSI indicator with other available tradingview indicators in the chart: Different indicators for the same idea are shown in the 3 Pane window below the BTC and Total3 chart, whereas ALSI is the top pane indicator. Important Note on Coin Selection Baskets are highly curated: Dead/irrelevant coins (FTT, LUNA, BSV) are excluded for clean signals. This prevents historical breaks and ensures Era T5 captures current narratives (AI, Memes) via TAO/RNDR. See above. Users are free to adjust the source code to test their own baskets. Disclaimer This script is for research and educational purposes only. Past correlations between ALSI and TOTAL3 do not guarantee future results. Market regimes can change, and "Altseasons" can be cut short by macro events. Tags bitcoin, btc, altseason, dominance, total3, rotation, cycle, index, alsi, Rob Maths
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Rob_Maths의
MA20 ATR Trend Failure FilterA volatility-adaptive filter designed to identify early trend invalidation. This indicator combines a 20-period Moving Average (MA20) with Average True Range (ATR) to dynamically define a lower volatility boundary. When price closes below this boundary, it signals that the current trend is no longer valid and risk is increasing. Core Concept（核心思想） MA defines the trend baseline ATR measures current market volatility MA − k × ATR forms a dynamic risk threshold A close below this threshold = trend failure 👉 中文补充： 这不是反转指标，而是趋势失效过滤器，用于避免在趋势已经被破坏后继续持仓或加仓。 How It Works Calculate MA20 as the trend reference Calculate ATR(14) as volatility proxy Build adaptive bands: Upper Band = MA20 + k × ATR Lower Band = MA20 − k × ATR If close < Lower Band, trend is considered failed The ATR multiplier k automatically adjusts the tolerance based on volatility, avoiding rigid fixed-percentage rules. Visual Elements Yellow line: MA20 Green band: MA20 + k × ATR Red band: MA20 − k × ATR (key risk boundary) Red triangle + “FAIL” label: Trend failure signal Optional background shading to highlight risk zones Typical Use Cases Trend-following strategies (exit / reduce exposure) Breakout strategies (filter false continuation) Risk management overlay (non-intrusive, no repaint) Combine with HMA, SuperTrend, structure-based entries 👉 中文补充： 非常适合作为**“不该再拿”的客观判断条件**，而不是频繁交易信号。 Why This Indicator Volatility-adaptive (ATR-based) No future data, no repaint Simple logic, strong risk control Works across stocks, crypto, futures, indices This tool is designed to answer one question only: Is the current trend still valid? Parameters MA Length (default: 20) ATR Length (default: 14) ATR Multiplier k (default: 0.8) Lower k → stricter risk control Higher k → more tolerance, fewer false signals SSE:600595
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LuckyFirst의
Momentum Burst Pullback System v66 * Detects **momentum “bursts”** using: * **Keltner breakout** (high above upper band for long, low below lower band for short), and/or * **MACD histogram extreme** (highest/lowest in a lookback window, with correct sign). * Optional **burst-zone extension** keeps the burst “active” for N extra bars after the burst. * Marks bursts with **K** (Keltner) and **M** (MACD) labels: * Core burst labels use one color, extension labels use a different color. * Tracks the most recent burst as the **dominant side** (long or short), and stores burst “leg” anchors (high/low context). * Adds **structure-based invalidation**: * On a new **core burst**, it locks the most recent **confirmed swing** level (pivot): * Long: locks the last confirmed **swing low**. * Short: locks the last confirmed **swing high**. * After the burst, if price **breaks that locked level**, the burst regime is **cancelled** (and any pending setup on that side is dropped). * Finds **pullback setups** after a dominant burst (and not inside the active burst zone), within min/max bars: * Long pullback requires a sequence of **lower highs** and price still below the burst high. * Short pullback requires **higher lows** and price still above the burst low. * Optional background shading highlights pullback bars. * On pullback bars, plots **static TP/SL crosses** using ATR: * Anchor is the pullback bar’s high (long) or low (short). * TP/SL are ± ATR * multiple. * TP plots are visually classified (bright vs faded) based on whether TP would exceed the prior burst extreme. * Maintains a **state-machine entry + trailing stop**: * Sets a “waiting” trigger on pullback. * Enters when price breaks the trigger (high break for long, low break for short). * Trails a stop using **R-multiples**, with different behavior pre-break-even, post-break-even, and near-TP. * Optionally draws the trailing stop as horizontal line segments. * Optionally shows a **last-bar label** with the most recent pullback’s TP and SL values.
Pine Script® 인디케이터
Flatlands1900의
Rainbow MA Width█ OVERVIEW Rainbow MA Width is a companion indicator for Rainbow MA Cloud. It displays ribbon width as a normalized Z-Score, allowing traders to visualize trend momentum expansion and contraction relative to recent history. █ CONCEPTS Z-Score Normalization: Rather than displaying raw width values (which vary by asset and timeframe), this indicator normalizes the ribbon width using Z-Score calculation: Z-Score = (Current Width - Average Width) / Standard Deviation Z-Score Interpretation: • 0 = Average width (mean) • +1 to +2 = Expanding (above average, strong trend) • -1 to -2 = Contracting (below average, weakening trend) • Beyond ±2 = Extreme (statistical outlier, potential reversal) Width Calculation Modes: • Outer — Distance between fastest and slowest MA: |MA1 - MA8| • Average Gap — Mean of all adjacent MA gaps • Total Gap — Sum of all adjacent MA gaps █ FEATURES 1 — Width Mode Selection Three methods to calculate ribbon width. "Outer" recommended for aligned trends. 2 — Z-Score Period Configurable lookback for mean and standard deviation. Default 20 bars; increase for smoother, less reactive readings. 3 — Zone Fill Coloring Cyan fill when expanding (Z > 0). Orange fill when contracting (Z < 0). Yellow fill for extreme values (|Z| > 2) as warning. 4 — Alignment Background Green background during bullish alignment. Red background during bearish alignment. Synced with Rainbow MA Cloud for consistency. 5 — Reference Lines Horizontal lines at 0 (mean), ±1σ, and ±2σ levels. Provides clear visual boundaries for interpretation. 6 — Raw Width Display Optional secondary line showing original width percentage. Useful for comparing normalized vs absolute values. █ HOW TO USE Trend Confirmation: • Z-Score rising above 0 confirms trend acceleration • Z-Score staying above +1 indicates sustained strong momentum • Use alongside alignment background for confluence Reversal Warning: • Z-Score exceeding +2 suggests overextension (yellow warning zone) • Z-Score dropping below -2 indicates extreme contraction • Extreme readings often precede trend reversals or consolidation Entry Timing: • Enter trends when Z-Score crosses above 0 (expansion beginning) • Avoid entries when Z-Score is at extreme highs (potential exhaustion) • Consider exits when Z-Score peaks and begins declining █ LIMITATIONS • Z-Score is relative to lookback period; different periods give different readings • Extreme zones (±2) are statistical guides, not guarantees • Best used in conjunction with Rainbow MA Cloud for full context █ ALERTS Four built-in alert conditions: • Z-Score crosses above/below zero • Z-Score enters extreme high/low zones (±2)
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viva_lee의