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스크립트에서 "momentum"에 대해 찾기

Squeeze Momentum Indicator [LazyBear] Fixed a typo in the code where BB multiplier was stuck at 1.5. Thanks @ucsgears for bringing it to my notice. Updated source: pastebin.com Use the updated source instead of the what TV shows below. This is a derivative of John Carter's "TTM Squeeze" volatility indicator, as discussed in his book "Mastering the Trade" (chapter 11). Black crosses on the midline show that the market just entered a squeeze (Bollinger Bands are with in Keltner Channel). This signifies low volatility, market preparing itself for an explosive move (up or down). Gray crosses signify "Squeeze release". Mr.Carter suggests waiting till the first gray after a black cross, and taking a position in the direction of the momentum (for ex., if momentum value is above zero, go long). Exit the position when the momentum changes (increase or decrease --- signified by a color change). My (limited) experience with this shows, an additional indicator like ADX / WaveTrend, is needed to not miss good entry points. Also, Mr.Carter uses simple momentum indicator, while I have used a different method (linreg based) to plot the histogram. More info: - Book: Mastering The Trade by John F Carter List of all my indicators:
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LazyBear의
658
CMO (Chande Momentum Oscillator)Hi Let me introduce my CMO (Chande Momentum Oscillator) script. This indicator plots Chandre Momentum Oscillator. This indicator was developed by Tushar Chande. A scientist, an inventor, and a respected trading system developer, Mr. Chande developed the CMO to capture what he calls "pure momentum". For more definitive information on the CMO and other indicators we recommend the book The New Technical Trader by Tushar Chande and Stanley Kroll. The CMO is closely related to, yet unique from, other momentum oriented indicators such as Relative Strength Index, Stochastic, Rate-of-Change, etc. It is most closely related to Welles Wilder`s RSI, yet it differs in several ways: - It uses data for both up days and down days in the numerator, thereby directly measuring momentum; - The calculations are applied on unsmoothed data. Therefore, short-term extreme movements in price are not hidden. Once calculated, smoothing can be applied to the CMO, if desired; - The scale is bounded between +100 and -100, thereby allowing you to clearly see changes in net momentum using the 0 level. The bounded scale also allows you to conveniently compare values across different securities.
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HPotter의
Long-term KST (Know Sure Thing)Description Long-term Know Sure Thing (KST) oscillator, specifically adapted for non-24h markets such as stocks, indices, ETFs and futures. This version correctly scales the weekly ROC periods based on the actual trading week length and daily session duration of the instrument — making it accurate across different asset classes (European indices, US equities, crypto, etc.). Key features: • Fully customizable trading week (5 days for most stock markets, 7 days for crypto/24h markets) • Customizable daily session length (8.5h for FTSE MIB/DAX, 6.5h for US equities, 24h for crypto/forex) • Automatically adjusts bar count per week on any chart timeframe (including Weekly) • Classic Martin Pring KST parameters (10/13/15/20 ROC weeks, 10/13/15/20 SMA weeks, 1-2-3-4 weighting) • Includes signal line (SMA of KST) and visual fill between KST and signal (green/red) What is the Long-term KST used for? The KST (Know Sure Thing) is a momentum oscillator created by Martin Pring to detect major trend changes, confirm the primary trend direction, and identify significant reversals in medium- to long-term cycles (weeks to months). Main practical uses: • Major trend reversals: KST crossing above/below signal line • Primary trend confirmation: KST above/below zero line • Classic divergences: Price vs KST divergences often precede important tops/bottoms • Cycle identification: Helps spot the end of multi-month corrections or the start of new bull/bear phases • Trend-following filter: Stay long when KST > 0 and rising, stay short when KST < 0 and falling It is especially powerful on major indices (FTSE MIB, DAX, SPX, NDX, RUT, CAC40, Nikkei…) because it captures institutional money flow with fewer, higher-quality signals compared to faster oscillators. Best used on: • Daily, 4H, Weekly charts • European indices (FTSE MIB, DAX, IBEX…) • US indices/ETFs (SPX, NDX, RUT…) • Crypto pairs (set week_length=7, session_duration=24h) Enjoy trading the big-picture momentum!
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fpsantoro의
MarketMind LITEM🜁rketMind LITE ──────────────────── Essential Market Awareness, Reduced to Its Core M🜁rketMind LITE is a lightweight market awareness tool designed to display essential situational context . It provides basic orientation and movement awareness without interpretation, risk framing, diagnostics, or decision guidance. This script is designed as a standalone awareness layer. It does not evaluate trade quality, issue signals, or influence decision-making. WHAT IT DOES ──────────────────── M🜁rketMind LITE presents a minimal, static view of current market conditions focused entirely on awareness rather than analysis. The system displays only essential context, allowing traders to stay oriented without introducing judgment, noise, or implied direction. The script provides visibility into: Time-of-day session context Basic market regime classification (trending, range-bound, mixed) Short-term momentum direction only (up, down, neutral) A clean, static HUD display M🜁rketMind LITE also includes a minimal visual state indicator that reflects recent price responsiveness, intended to be observed over time alongside the trader’s own experience. The goal is to support awareness without influence . HOW TO USE IT ──────────────────── M🜁rketMind LITE is not a signal generator. It is designed to remain visible in the background of any chart, offering quiet orientation while traders rely entirely on their own process for analysis and execution. Common use cases include: Maintaining session awareness Preserving context during focused trading periods Reducing cognitive load while monitoring markets M🜁rketMind LITE does not evaluate risk, alignment, or opportunity. It simply shows what is happening. DESIGN PHILOSOPHY ──────────────────── M🜁rketMind LITE is intentionally minimal. It includes only essential awareness elements and excludes all interpretive or evaluative logic: Situational context only Directional momentum (up / down / neutral) No diagnostics, confidence, or conviction framing No process, risk, or quality assessment Presentation controls only (HUD on/off, size, position) Nothing is inferred. Nothing is suggested. This script shows market state without interpretation. WHO IT IS FOR ──────────────────── M🜁rketMind LITE is suited for traders who: Want passive situational awareness Prefer minimal on-chart information Already operate with a defined decision process It is not designed for: Analytical or diagnostic use Risk evaluation or context synthesis Traders seeking guidance or confirmation IMPORTANT NOTES ──────────────────── M🜁rketMind LITE does not provide financial advice No system can predict future price behavior This tool is designed for awareness only Used appropriately, M🜁rketMind LITE helps traders stay oriented without interference.
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nedra-codes의
Williams %RDescription This is a modified version of the classic Williams %R oscillator, adapted for markets with defined trading sessions (e.g., FTSEMIB, DAX, US stocks, etc.). It adjusts the lookback period based on the actual trading session length, making it more accurate on intraday timeframes. Key Features Session Adjustment: Automatically scales the period to trading days (default: 8.5 hours for FTSEMIB, DAX, CAC; customizable for any market). Formula (classic Williams %R): %R = 100 × (Close - Highest High) / (Highest High - Lowest Low) over a user-defined period (default 14 days). Standard Levels: -20 (overbought) -50 (middle line) -80 (oversold) Visual Enhancements: - Customizable colors for the line, levels, and background fill - Shaded overbought/oversold zone How to Use: Overbought (above -20): Potential sell signal or reversal (especially after a prolonged uptrend). Oversold (below -80): Potential buy signal or reversal (especially after a downtrend). Divergences: Look for bullish/bearish divergences between price and %R for early reversal warnings. Best Markets: Indices (FTSEMIB, DAX, SPX), stocks, futures. For 24/7 markets (crypto), set session duration to 24 hours. Timeframes: Works on intraday (15m, 1h, etc.) and daily charts. Customization Tips: - Adjust the period (shorter = more sensitive, longer = smoother). - Change session duration for different markets. - Customize colors to match your chart theme. Note: Williams %R is a momentum oscillator and should be used in combination with other tools (trendlines, support/resistance, volume). Always practice proper risk management.
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fpsantoro의
Pre-Market Confirmed Momentum – FULL WATCHLIST 2025**Pre-Market Confirmed Momentum – High-Conviction Gap Scanner (2025)** Scans 94 high-liquidity NASDAQ/NYSE stocks (NVDA, TSLA, COIN, AMD, SOFI, ASTS, CIFR, etc.) for strong pre-market gap-ups that are confirmed by both elevated volume and broad-market strength. **Entry triggers only when ALL are true at 09:29 ET:** - ≥ +1.5% gap from previous regular close - Pre-market volume ≥ 2.5× the 20-day average - QQQ pre-market ≥ +0.5% (market filter) Back-tested June 2024 – Dec 2025: 68 signals → **+1.96% average intraday return** → **75% win rate** after 1.5% hard stop. Features large on-chart labels, triangle markers, and dynamic `alert()` messages with exact gap % and volume multiple. Works on 1-min or 5-min charts with extended hours enabled – perfect for day traders hunting clean, high-probability momentum entries at the open. Ready for watchlist scanning and real-time alerts. Enjoy the edge! 🚀
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redmaxy66의
Market Movers TrackerMarket Movers Tracker — Live Big-Move + Volume + Gap Screener (2025) The cleanest, fastest, most beautiful real-time scanner for stocks, crypto, forex — instantly tells you: • Daily / Session / Weekly % change • HUGE moves (5%+) and BIG moves (3%+) with glowing background • Volume spikes (2x+ average) with orange bar highlights • Gap-up / Gap-down detection with arrows • Live stats table (movable to any corner) • “HUGE” / “BIG” / “Normal” status with emoji • Built-in alerts for huge moves, volume spikes & gaps Perfect for: → Day traders hunting momentum → Swing traders catching breakouts → Scalpers riding volume explosions → Anyone who wants to see the hottest movers at a glance Works on ANY symbol, ANY timeframe. Zero lag. Zero repainting. Pure price + volume truth. No complicated settings — turn it on and instantly see what’s moving the market right now. Not financial advice. Just the sharpest scanner on TradingView. Made with love for the degens, apes, and momentum chads & volume junkies.
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Timmy741의
Volatility Signal-to-Noise Ratio🙏🏻 this is VSNR: the most effective and simple volatility regime detector & automatic volatility threshold scaler that somehow no1 ever talks about. This is simply an inverse of the coefficient of variation of absolute returns, but properly constructed taking into account temporal information, and made online via recursive math with algocomplexity O(1) both in expanding and moving windows modes. How do the available alternatives differ (while some’re just worse)? Mainstream quant stat tests like Durbin-Watson, Dickey-Fuller etc: default implementations are ALL not time aware. They measure different kinds of regime, which is less (if at all) relevant for actual trading context. Mix of different math, high algocomplexity. The closest one is MMI by financialhacker, but his approach is also not time aware, and has a higher algocomplexity anyways. Best alternative to mine, but pls modify it to use a time-weighted median. Fractal dimension & its derivatives by John Ehlers: again not time aware, very low info gain, relies on bar sizes (high and lows), which don’t always exist unlike changes between datapoints. But it’s a geometric tool in essence, so this is fundamental. Let it watch your back if you already use it. Hurst exponent: much higher algocomplexity, mix of parametric and non-parametric math inside. An invention, not a math entity. Again, not time aware. Also measures different kinds of regime. How to set it up: Given my other tools, I choose length so that it will match the amount of data that your trading method or study uses multiplied by ~ 4-5. E.g if you use some kind of bands to trade volatility and you calculate them over moving window 64, put VSNR on 256. However it depends mathematically on many things, so for your methods you may instead need multipliers of 1 or ~ 16. Additionally if you wanna use all data to estimate SNR, put 0 into length input. How to use for regime detection: First we define: MR bias: mean reversion bias meaning volatility shorts would work better, fading levels would work better Momo bias: momentum bias meaning volatility longs would work better, trading breakouts of levels would work better. The study plots 3 horizontal thresholds for VSNR, just check its location: Above upper level: significant Momo bias Above 1 : Momo bias Below 1 : MR bias Below lower level: significant MR bias Take a look at the screenshots, 2 completely different volatility regimes are spotted by VSNR, while an ADF does not show different regime: ^^ CBOT:ZN1! ^^ INDEX:BTCUSD How to use as automatic volatility threshold scaler Copy the code from the script, and use VSNR as a multiplier for your volatility threshold. E.g you use a regression channel and fade/push upper and lower thresholds which are RMSEs multiples. Inside the code, multiply RMSE by VSNR, now you’re adaptive. ^^ The same logic as when MM bots widen spreads with vola goes wild. How it works: Returns follow Laplace distro -> logically abs returns follow exponential distro , cuz laplace = double exponential. Exponential distro has a natural coefficient of variation = 1 -> signal to noise ratio defined as mean/stdev = 1 as well. The same can be said for Student t distro with parameter v = 4. So 1 is our main threshold. We can add additional thresholds by discovering SNRs of Student t with v = 3 and v = 5 (+- 1 from baseline v = 4). These have lighter & heavier tails each favoring mean reversion or momentum more. I computed the SNR values you see in the code with mpmath python module, with precision 256 decimals, so you can trust it I put it on my momma. Then I use exponential smoothing with properly defined alphas (one matches cumulative WMA and another minimizes error with WMA in moving window mode) to estimate SNR of abs returns. … Lightweight huh? ∞
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gorx1의
4
Stochastic Pro+ Suite📚 What Is the Stochastic Oscillator? The stochastic oscillator is a momentum indicator comparing a security's closing price to its price range over a set number of periods. The %K line represents the raw stochastic value, while the %D line is a smoothed moving average of %K. Stochastic helps identify: Overbought and oversold conditions Bullish and bearish crossovers Momentum shifts before price reversals It is widely used in both trending and ranging markets. 💡 What Makes This Suite Different? This script supercharges the traditional stochastic with a multi-timeframe engine , divergence detection , and a highly customizable visual suite , including: ✅ Core Features: - Multi-Timeframe (%K, %D, Spread): Pulls stochastic data from any higher timeframe for improved signal quality. - Custom Overbought/Oversold Levels: Fully adjustable OB/OS thresholds (default: 80/20). - %K-%D Spread Histogram: View the difference between %K and %D visually as a histogram. - Color-coded Cross Highlights: Optional background shading for key crossover events in OB/OS zones (high probability reversal areas). 🔍 Divergence Detection (Optional): - Bullish Divergence: Price makes lower lows while %K makes higher lows. - Bearish Divergence: Price makes higher highs while %K makes lower highs. - Customizable pivot lookbacks and range filters to control divergence strictness. - Visual divergence labels plotted directly on the oscillator. 🎛️ Fully Toggleable Visuals: Show/hide %K, %D, OB/OS lines, spread histogram, background highlight, and divergence — all via simple checkboxes. 🔔 Alerts: Set alerts for both bullish and bearish divergences — ideal for swing, day, or trend reversal strategies. ⚙️ Use Cases - Spot exhaustion in overbought/oversold zones - Confirm or filter entries with divergence signals - Monitor multiple timeframes without switching charts - Use as a signal tool in confluence with price action or volume indicators ⚠️ Disclaimer This tool is for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment guidance. Always do your own research and consult a qualified financial advisor before making trading decisions.
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RWCS_LTD의
MACD Trend & Momentum Dashboard (Weighted, 3 TFs)This indicator provides a multi-timeframe MACD trend and momentum dashboard that works independently of your current chart timeframe. It displays MACD zero-line bias and MACD-vs-Signal trend state across three user-selectable timeframes, using clear color-coded cells for instant visual interpretation. A weighted scoring system combines all six signals into a single market bias classification (Strong Bullish → Strong Bearish). This helps traders quickly understand higher- and lower-timeframe alignment, market regime, and overall trend quality. Ideal for trend- and momentum-followers who want a clean, actionable market overview at a glance.
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BoboSiebenschlaefer의
6
XAUUSD Fisher Transform Dashboard — Trend & Momentum InsightsThe script offers an educational visualization of trend and momentum on XAUUSD by combining the Fisher Transform with EMA direction. It plots momentum shifts, trend alignment, and includes a concise dashboard showing trend bias, the latest crossover event, and customizable percentage-based reference markers. This tool is for market analysis and study purposes only and does not provide trading advice.
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MarkSteve_7의
⚡ Elite Momentum Pro🎯 Key Features 1. Smart Signal Engine 3 Signal Modes: Aggressive, Balanced, Conservative 7-Point Scoring System - Ensures high-quality signals Anti-Flip Protection - Prevents rapid signal changes Multiple confirmations: Supertrend, MACD, RSI, EMA alignment, momentum 2. Advanced Risk Management 3 Take Profit Levels (TP1, TP2, TP3) for scaling out ATR-Based Dynamic Stops - Adapts to volatility Customizable Risk:Reward (default 2.5:1) Visual stop and target levels 3. Clean Visual Design Color-coded price bars based on trend strength EMA Ribbon (9, 21, 50, 200) for trend clarity
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jmslimus의