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震荡指标

Momentum Oscillator (Zeiierman)█ Overview Momentum Oscillator (Zeiierman) is a regime-stable momentum engine designed to reveal when the market is quietly building pressure and when that pressure is already expanding. It measures long-lookback Rate of Change (ROC), smooths it for structural clarity, and then normalizes it into a clean −100 to +100 scale so momentum can be compared across assets and volatility regimes. You can choose between Z-Score normalization (adaptive to changing volatility) or Min/Max normalization (relative to recent extremes), followed by a final smoothing layer for readability and signal alignment. █ How It Works ⚪ 1) Momentum Measurement (ROC Engine) The script computes ROC across a cycle-based lookback: Lookback Bars = Ranking Period (Cycles) × Bars per Cycle ROC = (close / close − 1) × 100 ROC is smoothed with an EMA using Smoothing ⚪ 2) Normalization (Oscillator Mapping) To keep the oscillator comparable across different symbols and volatility regimes, ROC is normalized into a bounded oscillator: Mode A — Z-Score (default): Computes SMA and StDev over Lookback Converts ROC to Z-score Clamps Z using Z-Score Clamp Maps to −100…+100 Mode B — Min/Max: Finds the highest/lowest ROC over Lookback Converts the current ROC to a 0…1 percentile position Remaps to −100…+100 █ How to Use ⚪ Bullish Read Oscillator above 0 = bullish momentum regime Stronger bullish momentum as oscillator rises toward +60 ⚪ Bearish Read Oscillator below 0 = bearish momentum regime Stronger bearish momentum as oscillator falls toward −60 █ Settings Ranking Period (Cycles) — how far back momentum is measured (cycles). Bars per Cycle — converts cycles to bars (daily≈21). Smoothing — EMA smoothing applied to ROC before normalization. Lookback — window used to compute Z-Score or Min/Max ranges. Use Z-Score — stable regime-based normalization (recommended). Z-Score Clamp — limits extreme Z values to reduce spikes. ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Pine Script®指标
由Zeiierman提供
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VCO Fusion█ OVERVIEW "VCO Fusion" is a technical indicator that analyzes price volatility relative to dynamic price channels, displaying moving averages of the oscillator, a histogram of their difference, and signals based on crossovers and divergences. The indicator offers customizable overbought and oversold levels, gradient visualization, and divergence detection, supported by alerts for key signals. █ CONCEPTS The VCO Fusion indicator creates dynamic price channels based on a moving average of the price (calculated as the arithmetic mean of the high and low prices: (high + low) / 2) and market volatility (measured as the average candle range and body size). These channels are not displayed on the chart but are used to calculate the value of the raw oscillator, which reflects the position of the closing price relative to the channel width, scaled to a range from -100 to +100, with the zero line as the central point. Two smoothed moving averages of the oscillator (MA1 and MA2) enable signals based on their crossovers or with overbought/oversold levels. The histogram shows the difference between MA1 and MA2, indicating trend strength. The indicator also detects divergences between price and MA1, which may signal potential trend reversals. VCO Fusion is useful for identifying market momentum, reversal points, and trend confirmation, especially when combined with other technical analysis tools. █ FEATURES - Volatility Channels: Calculates invisible chart boundaries based on a simple moving average (SMA) of the price (high + low) / 2 and volatility (average candle range and body). The length parameter (default 10) sets the SMA length, and scale (default 200%) adjusts the channel width. - Oscillator Moving Averages: Two smoothed averages (MA1 and MA2) of the raw oscillator, with double smoothing for each: first an EMA on the raw oscillator (smoothLen1 for MA1, smoothLen2 for MA2), then an SMA on the resulting EMA (maLen1 for MA1, maLen2 for MA2). Parameters smoothLen1 (default 7) and maLen1 (default 5) for MA1, and smoothLen2 (default 10) and maLen2 (default 5) for MA2. Displayed with a gradient. - Overbought/Oversold Levels: Configurable thresholds for the oscillator (overbought, default 25; oversold, default -25), shown as horizontal lines. Band colors change dynamically (red for overbought, green for oversold) based on the distance of MA1 from these levels, reinforcing other signals. - Divergences: Detects bullish (price forms a lower low, MA1 a higher low) and bearish (price forms a higher high, MA1 a lower high) divergences using pivots (pivotLength, default 2). Divergences are displayed with a delay equal to the pivot length; larger values increase reliability but delay signals. Those formed on lower momentum waves are less reliable and more likely to produce false signals. Use as additional confirmation. - Histogram: Shows the difference between MA1 and MA2, with area coloring (green for positive, red for negative). Diamonds appear when the histogram starts to turn (hist_peak_upper, default 3; hist_peak_lower, default -3), signaling wave reversals. Small waves suggest the market is in a compression phase. Signals: - Overbought/Oversold Crossovers: Green triangles (buy) when MA1 crosses above the oversold level, red triangles (sell) when it crosses below the overbought level. - MA1/MA2 Crossovers: Green circles (bullish) when MA1 crosses above MA2 in the bullish range (bull_circle_lower to bull_circle_upper, default 1 to 20), red circles (bearish) when it crosses below in the bearish range (bear_circle_lower to bear_circle_upper, default -20 to -1). By default, they are filtered by such a parameter, but by changing these values, you can arbitrarily filter signals or not use them at all by setting e.g. 100/-100. - Histogram Turns: Green diamonds for upward turns (bullish wave turn), red for downward turns (bearish wave turn). There is a minimum wave size filter to limit noise. - Visualization: Gradient lines for MA1, MA2, overbought/oversold levels, and the zero line, with adjustable transparency. Gradient fill between MA1 and zero, and between MA1 and MA2. Divergence Labels: "Bull Div" (bullish) and "Bear Div" (bearish) with customizable color. - Alerts: Built-in alerts for divergences, overbought/oversold crossovers, MA1/MA2 crossovers (range-based), and histogram turns. █ HOW TO USE Add to Chart: Apply the indicator via Pine Editor or the Indicators menu on TradingView. Configure Settings: - Channel and Oscillator Settings: Adjust the channel SMA length (length, default 10) and channel scaling (scale, default 200%). Increase scale for high-volatility markets. - Threshold Levels: Set overbought (overbought, default 25) and oversold (oversold, default -25) levels. - Averages Settings: Adjust smoothing and lengths for MA1 (smoothLen1, maLen1) and MA2 (smoothLen2, maLen2). - Divergence Settings: Enable/disable divergence detection (showDivergence) and set pivot length (pivotLength, default 2). Larger values increase reliability but delay signals. - Signal Settings: Adjust range filters for bullish/bearish circles (bull_circle_lower/upper, bear_circle_lower/upper) and thresholds for histogram diamonds (hist_peak_lower/upper). - Styling: Customize colors for MA, histogram, gradients, divergences, and levels. Adjust transparency (minTransp, maxTransp) and line thickness (levelLineWidth). Interpreting Signals: - Buy Signals: Green triangles below the oversold line when MA1 crosses above oversold, or green circles for bullish MA1/MA2 crossover in range. - Sell Signals: Red triangles above the overbought line when MA1 crosses below overbought, or red circles for bearish MA1/MA2 crossover in range. - Histogram Signals: Green diamonds for upward turns indicate bullish wave reversal, red for bearish. These are typically the earliest signals. - Divergences: "Bull Div" and "Bear Div" labels indicate potential trend reversals with a delay based on pivotLength. Use as confirmation. - Overbought/Oversold Levels: Monitor price reactions in these zones as potential reversal points. Dynamic band color changes based on MA1 reinforce signals. Signal Confirmation: Use VCO Fusion with other tools, such as pivot levels (for key turning points) or Fibonacci levels (for support/resistance zones). █ APPLICATIONS - Trend Trading: MA1/MA2 crossovers or histogram turns identify momentum in uptrends or downtrends. Match the strategy to signals - e.g., enter a long position after a diamond and circle signal, and exit e.g. after an opposing diamond signal, or upon entering the OB zone. First check support and resistance levels - as it is risky to open a long under a resistance zone. - Range Trading: In sideways markets, momentum waves are often small and it is risky to open positions then. - Divergences: Use bullish/bearish divergences as additional confirmation of reversals, especially near key price levels. - Trend Identification: To analyze trends over a longer perspective, increase smoothing lengths (smoothLen1/2) for more stable signals. █ NOTES - Test the indicator across different timeframes and markets to optimize parameters, such as length and scale, for your trading style. - In strong trends, overbought/oversold levels may persist, requiring additional signal verification. - Divergences are more reliable on higher timeframes (H4, D1), where market noise is reduced, but their delay requires caution. - In low-liquidity markets, signals may be less effective, so use on high-liquidity assets is recommended.
Pine Script®指标
由Uncle_the_shooter提供
Ichimoku Equilibrium Distance (Kijun/Tenkan)Ichimoku Equilibrium Distance (Kijun/Tenkan) Ichimoku Equilibrium Distance (Kijun/Tenkan) is a conservative Ichimoku-internal context indicator that visualizes how far price is extended away from the core equilibrium lines: Kijun-Price Distance (Close − Kijun) Tenkan-Price Distance (Close − Tenkan) Tenkan-Kijun Distance (Tenkan − Kijun) The focus is on equilibrium, extension, and context — not on “magic signals”. All calculations are derived from Ichimoku components only (no RSI/ATR filters). Concept In Ichimoku, Kijun-sen and Tenkan-sen are often treated as dynamic equilibrium references . When price is close to them, the market is often in a more balanced state. When price is far away, the market is extended — which can matter for: avoiding “chasing” in trends spotting stretched conditions before pullbacks / mean reversion gauging trend pressure and acceleration phases This script makes the “distance to equilibrium” visible in a clean oscillator-style panel. Core Features 1) Distance Lines (Ichimoku-internal) Optional plotting of: Price − Kijun distance Price − Tenkan distance Tenkan − Kijun distance 2) Conservative Normalization Modes Distances can be displayed as: Raw (price units) % of Price (cross-market comparable) % of Ichimoku Range (Highest−Lowest of the Ichimoku window; no ATR) 3) Background Context (Current or Higher TF) Optional background shading for quick bias reading: Current timeframe background Next higher timeframe background (mapped conservatively) 4) Confluence Background (Optional) A single background layer with dynamic opacity: Stronger opacity = stronger agreement between selected Ichimoku distance sources You can choose which sources contribute to confluence (independent from line plots) 5) Alerts & Markers (Optional) Classic Ichimoku relationships as selectable signals: Price crosses Kijun Price crosses Tenkan Tenkan crosses Kijun (TK/KJ cross) These are explicit Ichimoku meanings (not re-branded “new” signals). 6) MTF Histogram (Current Close vs HTF Kijun) Optional histogram “tags” showing: Close − 4H Kijun Close − D Kijun Close − W Kijun Close − M Kijun Useful to see extension relative to higher timeframe equilibrium. How To Use (Ambitious Beginners) A) Learn equilibrium behavior Start with one line: Enable Kijun-Price Distance Watch how often price re-centers toward Kijun after large extensions Goal: understand equilibrium pull, not force reversal trades. B) Avoid chasing In trends, entries often fail because traders buy/sell while price is already stretched. Use distance as a simple checklist: Distance small/medium -> easier to justify continuation entries Distance large -> consider waiting for pullback or consolidation C) Use Tenkan vs Kijun as “pressure” context Enable Tenkan-Kijun Distance : Positive TK−KJ often aligns with bullish pressure Negative TK−KJ often aligns with bearish pressure Combine with price action (structure, breaks, retests). D) Keep it simple Recommended learning workflow: Use % of Price mode for easier comparison Enable only one or two distance lines Turn on background only after you understand the lines How To Use (Advanced Traders) 1) Extension mapping across timeframes Combine: Current TF distance lines Higher TF background MTF histogram (4H/D/W/M) Goal: detect when the current move is extended relative to higher timeframe equilibrium . 2) Trend continuation vs pullback risk Observe “distance regime” instead of single-point signals: Steady trend: distance oscillates but holds directional bias Acceleration: distance expands rapidly (risk of late entry increases) Transition: TK−KJ compresses / flips while price distance decays 3) Confluence as a bias overlay (minimal, conservative) Use Confluence Background to quickly see agreement: Kijun distance + TK−KJ alignment -> stronger directional context Mixed readings -> reduce aggressiveness / wait for clarity 4) Alert workflow (discretionary, not automated) Example approach: Enable alert for “Price crosses Kijun” Use it as a context prompt to check structure and risk Do not treat the alert as an entry by itself Notes This is a context and equilibrium tool , not an automated trading system. Large distance does not guarantee reversal — strong trends can remain extended. Ichimoku components are derived values; interpret together with structure, volatility behavior, and risk management. If you trade different markets, prefer normalized modes for comparability. Best Suited For Ichimoku traders who prefer conservative, method-aligned tools Ambitious beginners learning equilibrium and extension behavior Discretionary intraday and swing traders Users who want clean charts with optional higher timeframe context
Pine Script®指标
由ContextSync提供
Elder Unified Trading SystemDescription: 1. Philosophy & Concept This strategy is a modern implementation of Dr. Alexander Elder’s legendary "Triple Screen Trading System" and the "Impulse System." The core philosophy is to filter every trading decision through three distinct timeframes ("Screens") to minimize risk and align with the dominant market force: Screen 1 (The Tide): The long-term trend (Higher Timeframe). Screen 2 (The Wave): Intermediate corrections/pullbacks on the current chart. Screen 3 (The Ripple): The specific entry trigger when momentum realigns with the trend. 2. Why This Script Was Tuned? (The Enhancement) In the classic Elder definition, the "Tide" is determined strictly by the slope of the Weekly MACD Histogram. The Tuning: In strongly trending markets (like Gold or Crypto), deep pullbacks often cause the MACD Histogram on the higher timeframe to slope down temporarily. This results in valid Dip-Buying opportunities being rejected because the strict filter turns the "Traffic Light" red too early. The Solution (v2.1 Tuning): We introduced a "Tide Filter Mode" selector: Classic Mode: Uses MACD Slope (Very strict, fewer signals). Trend Mode (Default): Uses the HTF EMA 200. As long as the price is above the HTF EMA 200, the trend is considered Bullish. This allows the strategy to capture high-probability pullbacks in strong trends without being filtered out prematurely. 3. Key Features Unified Dashboard: Monitors the Tide (HTF), Wave (Stochastic), and Impulse (Momentum) status in a single, non-intrusive panel. Dual-Signal Logic: Supports both "Swing Pullback" traders and "Momentum Breakout" traders. Visual EMAs: Automatically displays the Tactical EMAs (13 & 26) for short-term crossovers and the Strategic EMA (200) for the major trend baseline. Impulse Coloring: Bars are colored Green (Bullish), Red (Bearish), or Blue (Neutral) based on the combined momentum of EMA and MACD. 4. How to Use (Strategy Guide) Select your Trading Mode in the settings menu: A. STANDARD MODE (Triple Screen / Swing) Best for traders who prefer buying "on sale" during a trend. BUY Rules: Screen 1: HTF is Bullish (Price > HTF EMA 200). Screen 2: Stochastic drops into Oversold (<20) or crosses back up. Screen 3: Price breaks above the previous candle's High. Visual: "TS Buy" Label (Lime Green). SELL Rules: The inverse of Buy (HTF Bearish + Stoch Overbought). B. AGGRESSIVE MODE (Impulse Momentum) Best for traders who prefer catching breakouts and strong momentum moves. BUY Rules: Screen 1: HTF is Bullish. Screen 2: The candle turns GREEN (Impulse System: EMA 13 rising + MACD Hist rising). Visual: Small "Mom" Triangle (Teal). C. HYBRID MODE Displays both signal types simultaneously for a complete market overview. 5. Settings Tide Filter (Screen 1): Set to "HTF EMA Direction" for responsive trend-following (recommended), or "MACD Slope" for the strict classic method. HTF Multiplier: The time factor for the Higher Timeframe. (e.g., Input 5 on a 15m chart = H1 Trend Data). Show Tactical EMAs: Toggles the visibility of the EMA 13 (Blue) and EMA 26 (Purple). Disclaimer This indicator is for educational and analytical purposes only. Past performance does not guarantee future results. Always use proper risk management and Stop Losses.
Pine Script®指标
由Tonzlnxz提供
Quantum Relative Performance Oscillator [Pineify]Quantum Relative Performance Oscillator A sophisticated relative strength indicator that normalizes performance metrics to identify true momentum shifts between an asset and its benchmark. The Quantum Relative Performance Oscillator (RPO) is an advanced technical indicator designed to measure and visualize how a specific asset performs relative to a benchmark index. Unlike traditional relative strength indicators that can drift over time, this indicator normalizes the RS ratio to center around zero, providing traders with a clearer, more accurate picture of momentum shifts. The Quantum RPO addresses a fundamental limitation in traditional relative strength analysis. While standard RS indicators show whether an asset is outperforming or underperforming a benchmark, they don't easily reveal when that outperformance is accelerating or decelerating. This indicator solves that problem by normalizing the relative strength ratio and applying weighted moving average smoothing to create clear, actionable trading signals. Key Features Normalized RS Calculation: Centers the relative strength ratio around zero, eliminating long-term drift and making it easier to identify current momentum trends Weighted Moving Average (WMA) Processing: Uses WMA instead of simple moving averages for more responsive calculations that give greater weight to recent price action Dynamic Color Histogram: Visual representation of momentum acceleration and deceleration with intelligent color coding Crossover Signals: Clear bullish and bearish momentum shift indicators when the RS Ratio crosses above or below the signal line Customizable Benchmark: Compare any asset against a user-selected benchmark symbol (default: SPY) Adjustable Parameters: Configurable lookback length and signal smoothing for different timeframes and trading styles Built-in Alerts: Automated notifications for momentum shift events How It Works The indicator fetches closing prices for both the current asset and the user-defined benchmark symbol It calculates the raw Relative Strength (RS) by dividing the asset's close price by the benchmark's close price A Weighted Moving Average (WMA) is applied to the RS to establish a baseline equilibrium level The RS Ratio is calculated as: (RS / WMA) * 100 - 100, which normalizes the value around zero A Signal Line is created by applying additional WMA smoothing to the RS Ratio The histogram (Performance Delta) shows the difference between the RS Ratio and Signal Line, indicating momentum strength Trading Ideas and Insights Momentum Confirmation: Use the RS Ratio crossing above zero as confirmation that an asset is gaining relative strength against its benchmark Trend Reversal Signals: Watch for bullish crossovers (RS Ratio crossing above Signal Line) to identify potential trend reversals Relative Strength Screening: Compare multiple assets using the same benchmark to identify the strongest performers in a sector Divergence Detection: Look for situations where price makes new highs but the RS Ratio fails to confirm, indicating weakening relative momentum Sector Rotation: Use different benchmarks (sector ETFs) to identify rotation between sectors How Multiple Indicators Work Together This indicator combines three separate but complementary calculations to create a comprehensive relative strength tool: The raw RS calculation provides the fundamental comparison between asset and benchmark performance The WMA normalization removes drift and creates a centered oscillator that oscillates around zero The signal line smoothing filters out noise and provides clear crossover points for trading signals The histogram visualization combines both elements to show the magnitude and direction of momentum in one clear display Unique Aspects Unlike traditional RS indicators that can drift indefinitely higher or lower over time, the Quantum RPO's normalized calculation ensures the oscillator remains centered, making it easier to identify overbought and oversold conditions in relative terms The dynamic color histogram provides intuitive visual feedback about whether momentum is accelerating or decelerating, helping traders avoid false signals The use of Weighted Moving Averages rather than simple moving averages provides more responsive calculations that adapt faster to changing market conditions The built-in alert system allows traders to receive notifications automatically when momentum shifts occur, without needing to constantly monitor the chart How to Use Apply the indicator to any asset's chart Select your preferred benchmark symbol in the settings (SPY for US stocks, BTCUSD for crypto, etc.) Interpret the RS Ratio: Positive values indicate outperformance, negative values indicate underperformance Use the Signal Line crossovers for entry signals: Buy when RS Ratio crosses above Signal Line, Sell when it crosses below Monitor the histogram for momentum confirmation: Green columns rising indicate strengthening bullish momentum, red columns falling indicate strengthening bearish momentum Set up alerts for bullish and bearish momentum shifts to receive notifications Customization Benchmark Symbol: Change the comparison asset (SPY, QQQ, BTCUSD, etc.) Lookback Length: Adjust the period for WMA calculations (default: 20). Higher values produce smoother results with more lag; lower values are more responsive but may generate more false signals Signal Length: Modify the smoothing period for the signal line (default: 9) Color Customization: Customize the bullish (outperforming) and bearish (underperforming) colors to match your preferences These parameters can be adjusted to suit different trading timeframes, from intraday scalping to long-term position trading The Quantum Relative Performance Oscillator is a powerful tool for traders who want to understand not just whether an asset is outperforming its benchmark, but whether that outperformance is accelerating or losing steam. By normalizing the relative strength calculation and providing clear visual and alert-based signals, it helps traders make more informed decisions about entries, exits, and asset allocation across different markets and timeframes.
Pine Script®指标
由Pineify提供
MVRV Z-Score (DEMA Smoothed) | CipherDecodedMVRV Z-Score (DEMA Smoothed) | CipherDecoded Overview The MVRV Z-Score (DEMA Smoothed) is a structural trend-following oscillator derived from Bitcoin’s on-chain capital positioning. Rather than interpreting MVRV purely as a valuation metric, this implementation treats the relationship between market value and realized value as a proxy for capital regime expansion and contraction. By statistically normalizing MVRV and applying Double Exponential Moving Average (DEMA) smoothing, the indicator converts on-chain profitability dynamics into a tradable trend signal. The result is a regime-sensitive momentum framework anchored to underlying cost basis structure. Structural Rationale Market cycles are driven by shifts in aggregate positioning: When market value persistently exceeds realized value, capital is in profit and reflexive expansion tends to dominate. When market value compresses toward or below realized value, distribution and contraction phases emerge. By standardizing MVRV into a rolling Z-score, the indicator measures the velocity and persistence of profitability expansion, not just its magnitude. The subsequent DEMA smoothing filters short-term volatility while preserving structural inflection points, making the signal more suitable for systematic trend models. Inputs BTC Market Capitalization BTC Realized Market Capitalization Daily confirmed data to prevent repainting ​ Z-Score Normalization Rolling lookback mean and standard deviation Converts raw ratio into standardized regime measure DEMA Smoothing Applied to the Z-score output Reduces noise while maintaining responsiveness to regime shifts Trend Threshold User-defined bias level (default: 0.0) Above threshold = expansion regime Below threshold = contraction regime Interpretation This indicator is designed to identify structural trend bias, not overbought/oversold extremes. Sustained positive readings indicate persistent capital expansion. Sustained negative readings indicate structural compression. Threshold crossovers signal potential regime transitions. Slope and persistence are often more informative than absolute level. Design Principles Statistical normalization separates signal from secular growth effects. Smoothing is applied post-normalization to preserve structural information. Inputs are modular, allowing independent control of regime sensitivity and signal responsiveness. Data is requested on confirmed daily closes to ensure signal stability. Strategic Context Unlike traditional price-only oscillators, this framework derives trend information from underlying capital positioning. It therefore reacts to structural shifts in profitability rather than short-term price volatility. This makes it particularly suited for: Medium- to long-horizon trend strategies Macro regime allocation models Risk scaling frameworks Summary The MVRV Z-Score (DEMA Smoothed) reframes on-chain valuation data into a structural trend engine. By combining statistical normalization with adaptive smoothing, it provides a capital-anchored momentum signal designed for regime-based trading and systematic bias control.
Pine Script®指标
由CipherDecoded提供
Average Directional Index (ADX) + Trend Thresholds and ColorThis script builds off of the built-in indicator TradingView provides and adds the following: 1. Horizontal lines for each of the common, which are as follows: 0-20 Absent or Weak Trend 20-25 No trend or trend beginning 25-50 Strong Trend 50-75 Very Strong Trend 75-100 Extremely Strong Trend I added 20-25 as "No trend or trend beginning". I have found a lot of information always covers 0-20, then 25-50, but no 20-25, this fills that gap. 2. Background colors for each section ranging from blue to red to indicate cooler to warmer trends. The positioning of the horizontal lines, as well as the colors and their transparency levels can be customized through the settings window.
Pine Script®指标
由MatteoArroz提供
Trend RSI with Flip Signals + TRIX Direction Bands + RCI(EN) Manual — TrendRSI + TRIX Direction Bands + RCI(2) Overview This indicator is designed to help you spot high-probability momentum continuation moments by aligning three components: TrendRSI direction (SuperTrend-like line on RSI / RSI-MA) TRIX direction bands (colored top/bottom bands, no extra TRIX line) RCI direction (up/down slope coloring, optional 2 lines) When all three agree in the same direction, the market is often in a clean “flow state”, which tends to produce smoother continuation moves. What each component means 1) TrendRSI Trend Line (core direction) The dotted TrendRSI line changes color: Aqua = Up-trend state Fuchsia = Down-trend state Flip signals (▲ / ▼) can appear when direction switches. Interpretation: TrendRSI represents the current “trend regime” of RSI-based structure (momentum structure, not reversal). 2) TRIX Direction Bands (signal color) TRIX slope is used as a direction filter: UP = TRIX slope > threshold → bullish momentum DOWN = TRIX slope < -threshold → bearish momentum FLAT = within threshold (optional paint / none) Bands are used instead of a TRIX line for better visibility. If you enabled Invert bands, the UP/DOWN placement is flipped for readability (only the band placement changes; the logic does not). Interpretation: TRIX confirms whether momentum is accelerating in the same direction as TrendRSI. 3) RCI (2 lines) direction (slope-colored) RCI can be shown as 1 or 2 lines (user selectable lengths). Line color changes by slope: Up / Down / Flat Optionally, RCI (-100..100) can be mapped to 0..100 to match the RSI panel scale. Interpretation: RCI works as a “timing layer” — it helps confirm whether the short-term ranking/rotation is pushing in the same direction. The “Best Expansion” Setup (your core concept) A move tends to extend more cleanly when: ✅ TrendRSI direction = UP (aqua) ✅ TRIX band = UP state (your UP color) ✅ RCI slope = rising (up color) …and similarly for SHORT: ✅ TrendRSI = DOWN (fuchsia) ✅ TRIX = DOWN ✅ RCI slope = falling Why it works: You are stacking: Regime (TrendRSI) Momentum acceleration (TRIX) Timing/rotation confirmation (RCI) This reduces “fake continuation” entries and improves odds of catching the next push. Practical usage tips Best entries: after alignment appears and price begins moving away from congestion. Avoid: choppy ranges where TRIX is flat and RCI keeps flipping direction. Flat handling: if you want stricter filtering, set TRIX flat mode to None (no paint). Notes / Disclaimer This tool is a decision-support visual system. It does not guarantee profits and should be combined with risk management and market context. (JP) マニュアル — TrendRSI + TRIX方向バンド + RCI(2) 概要 このインジは、**伸びやすい局面（順行しやすい流れ）**を視覚化するためのツールです。 狙いはシンプルで、 ①RSIトレンド方向（TrendRSI） × ②TRIXシグナル色（方向） × ③RCI方向（傾き） この 3つが同じ方向に揃った瞬間を「伸びやすい候補」として拾います。 各要素の意味 1) TrendRSI トレンドライン（基準の方向） 点（ドット）のトレンドライン色で状態を表示： アクア（Aqua）＝上方向 フューシャ（Fuchsia）＝下方向 方向転換時に ▲ / ▼ のフリップサインを表示可能 解釈： TrendRSIは「いまの地合い（モメンタム構造のトレンド状態）」を示します。 ※逆張りではなく、順張り継続向きの構造判定です。 2) TRIX 方向バンド（モメンタム加速の確認） TRIXの「傾き」を方向フィルターにします。 UP：TRIX傾きが閾値より上 → 上の勢い（加速） DOWN：TRIX傾きが閾値より下 → 下の勢い（加速） FLAT：閾値内 → 方向感が弱い（塗る/塗らない選択） TRIXラインを描かずに、上下のバンドで方向だけを出すので見やすいです。 また、**Invert（上下反転）**をONにすると、UP/DOWNの表示位置を逆にして視認性を上げられます （※ロジックは同じで、表示だけ反転）。 解釈： TrendRSIの方向に対して、TRIXが「加速の裏付け」をしているかを見る層です。 3) RCI（2本）方向（傾きで色変化） RCIは 1本または2本 表示可能（期間も選択） 傾きで色が変わります： 上向き / 下向き / フラット RCI(-100..100)を 0..100へ変換して、RSIと同じスケールに揃えることも可能 解釈： RCIは「タイミング層」。 短期の回転・順位変化が、同方向へ素直に向いているかの確認になります。 あなたのコア概念「伸びやすい合致ポイント」 ロングで伸びやすい形： ✅ TrendRSI＝上（アクア） ✅ TRIX＝上（UP色） ✅ RCI＝上向き（上色） ショートで伸びやすい形： ✅ TrendRSI＝下（フューシャ） ✅ TRIX＝下（DOWN色） ✅ RCI＝下向き なぜ伸びやすい？ TrendRSI：地合い（レジーム）が順行 TRIX：勢いが加速している RCI：短期の回転も同方向で揃う つまり、方向＋加速＋タイミングが同時に揃うので、逆行に捕まりにくく「伸びの発生確率」が上がります。 実戦のコツ 良いエントリー候補： 合致が出た後、レンジを抜けて“離れ始めた”タイミング 避けたい場面： TRIXがFLAT連発、RCIが頻繁に反転するレンジ相場 より厳選するなら、TRIXのFLAT表示を **None（塗らない）**にしてフィルター強化 注意事項 本インジは裁量補助です。 必ず損切り・ロット管理などのリスク管理と併用してください。
Pine Script®指标
由cony1979提供
Squeeze_Momentum_By_Lincoln关于 的一个修改。 修改部分， 配色增强 挤压点（sq_color） 窄通道挤压（最强）：红色 red 正常挤压：橙色 orange 宽通道挤压（最弱）：黄色 yellow 刚刚出挤压（扩张）：亮绿色 lime 其他（无挤压）：灰色 gray 动量柱（mom_color）——只表达“方向 + 强弱” 多头方向（>0）：全部用“绿色系” 增强：亮绿 lime 减弱：普通绿 green 空头方向（<0）：全部用“红色系” 增强：红 red 减弱：深红/酒红 maroon
Pine Script®指标
由CN-Dawang提供
MACD & DMI/ADX Context (MTF)MACD & DMI/ADX Context (MTF) MACD & DMI/ADX Context (MTF) is a compact market-context indicator that combines MACD momentum structure with DMI/ADX trend strength in one workflow. The script includes a controlled Execution Mode (confirmed vs realtime behavior), a unified background engine for cleaner charts, an event-based alert system, and an optional divergence module. The focus is on regime context, pullback awareness, and confirmation — not on ready-made signals. Concept Many traders use MACD to read momentum shifts and pullback phases, while DMI/ADX is used to separate trending from ranging conditions and to judge directional dominance and strength. This script is designed to keep those reads consistent and visually accessible while reducing noise. Instead of stacking multiple indicators with overlapping signals, it provides a single context layer where momentum, direction, and strength can be monitored together. Two analysis approaches are available: MACD Mode -> momentum structure (MACD line, signal line, histogram) + optional context backgrounds and alerts DMI/ADX Mode -> directional dominance (+DI/-DI) + trend strength (ADX) + optional context backgrounds and alerts This helps keep a clean chart without losing important momentum/strength context. Core Features 1) Two-Mode Workflow (MACD / DMI-ADX) A practical split between momentum reading and trend-strength reading. MACD Mode: MACD line, signal line, histogram, optional histogram pattern markers DMI/ADX Mode: +DI / -DI / ADX, optional ADX plotting and threshold context Unified workflow so you can switch perspective without changing scripts 2) Execution Mode (Confirmed vs Realtime) A transparent control over repaint sensitivity and live responsiveness. Confirmed Only (Non-Repaint) -> visuals and alerts update only on bar close Realtime Visuals + Confirmed Alerts -> intrabar visuals, close-confirmed alerts Realtime Visuals + Realtime Alerts (May Repaint) -> intrabar visuals and alerts (explicitly may repaint) This allows clean backtest/automation-friendly behavior, or faster live reading—depending on your preference. 3) Unified Background Engine (Clean Context Layer) Instead of multiple overlapping background calls, the script uses a single priority-based background engine. MACD context backgrounds (CTF / optional HTF, slope, zero-line regimes) DMI/ADX context backgrounds (DI dominance, ADX slope/range context, optional HTF) Reduced visual clutter while keeping bias readable at a glance 4) Multi-Timeframe Context (MTF) Optional next-higher-timeframe context is available for both MACD and DMI. Displays the next higher supported timeframe bias when enabled Helps align lower timeframe decisions with higher timeframe direction/strength Includes optional compact MTF ADX histogram snapshots (4H / D / W / M) 5) Event-Based Alerts (No Spam) Alerts are implemented as events (cross/flip/start/end), not continuous states. MACD Lines Alerts MACD↔Signal cross (up/down) Bull/Bear regime start/end (MACD above/below signal) MACD zero-line cross and Signal zero-line cross Optional “cross near zero” filtering MACD slope flips and Signal slope flips Proximity enter alert when |MACD−Signal| enters a threshold MACD Histogram Alert Package Histogram zero cross and slope flip Grow/Fall regime flips above/below zero Confirmed pivot peaks/troughs Compression → expansion (“Ignition”) DMI/ADX Alerts +DI↔-DI cross and DI dominance regime start/end ADX threshold cross and ADX slope flip ADX strong+rising state start/end Optional Long_2 / Short_2 state start/end (DI direction + ADX threshold participation state) 6) Divergence Module (Pivot-Based, Compact Markers) A single divergence selector keeps the UI simple. Off Histogram Divergence -> price pivots vs MACD histogram MACD Line Divergence -> price pivots vs MACD line Divergences are pivot-confirmed and plotted as compact dot markers positioned close to the oscillator, with an optional vertical offset for readability. Applications (Ambitious Beginners) A) Clean Regime Filter Before You Decide Use the background as a bias filter (trend vs range / bullish vs bearish context) Then apply price action and risk management on top B) Pullback vs Continuation Awareness In trends, ADX and DI dominance help judge whether MACD shifts are likely continuation or deeper pullback In ranges, histogram compression/ignition and divergence can highlight transition phases C) Learn With Less Noise Use Confirmed Only mode for clean learning and replay Enable only one alert group at a time (MACD lines, histogram, or DMI/ADX) Build structure first, then add confirmation layers Applications (Advanced Traders) 1) Confluence Mapping (Momentum + Strength) MACD regime + histogram behavior (momentum) DI dominance + ADX strength/slope (trend quality) Optional next-higher-timeframe bias alignment Goal: build confluence-based decisions, not isolated signals. 2) Regime / Context Shift Observation Monitor transitions: ignition + ADX strength changes + regime flips Separate “momentum impulse” from “trend acceptance” Use events and state transitions for structured decision timing 3) Alert Workflow for Discretionary Traders Event-based alerts act as “attention triggers” You decide execution using structure, levels, and risk rules Execution Mode lets you choose strict confirmation or faster intrabar visuals Notes This script is a context and analysis tool, not an automated trading system. MACD/DMI/ADX are derived measures and can lag; interpret them with price structure, volatility, and risk management. Execution Mode exists to make repaint/confirmation behavior explicit and user-controlled. Best Suited For Ambitious beginners learning structured chart reading Discretionary intraday and swing traders Traders who want a clean context layer instead of signal spam Users who combine momentum shifts with trend strength confirmation Versioning / Legacy Notice This publication is a major successor to my earlier script “MACD/DMI ADX”, which remains available as a legacy version for users who rely on its previous workflow and behavior. What’s new in this release: Pine Script v5 → v6 migration Mode-based workflow (MACD vs DMI/ADX) Execution Mode (confirmed vs realtime control) Unified background engine (cleaner, consistent context) Event-based alert architecture + expanded histogram alert package Refined divergence module with compact markers Usability and performance improvements
Pine Script®指标
由ContextSync提供
ADR Ratio Table (ADR 1/ ADR 2)ADR Ratio Table is a market condition filter designed to compare short-term volatility with the broader market environment. The indicator calculates two Average Daily Range (ADR) values using user-defined periods (for example, 5-day ADR and 21-day ADR) and displays their ratio in a table. ADR Ratio = Short-Term ADR / Long-Term ADR This ratio helps identify volatility regimes: A value above 1.0 indicates that recent volatility is higher than the market’s longer-term average, suggesting expansion conditions. A value below 1.0 indicates compressed volatility, where directional moves are less likely to follow through. Its purpose is to act as a pre-trade filter, helping traders decide whether current market conditions are suitable for strategies that rely on range expansion and directional continuation.
Pine Script®指标
由ZegnaMike提供
Volatility-Gated Trend Oscillator [QuantAlgo]🟢 Overview The Volatility-Gated Trend Oscillator identifies statistically significant trend conditions by measuring price deviation from a dynamic baseline and filtering out normal market noise through an adaptive volatility floor. It calculates a moving average of the chosen type as a baseline, then measures how far price has deviated from it relative to average absolute deviation to define a noise threshold. Only when price breaks decisively beyond this threshold is a trend state confirmed, helping traders distinguish genuine momentum from random noise across different timeframes and markets. 🟢 How It Works The indicator's core methodology lies in its dual-layer approach combining deviation measurement with volatility-gated filtering, where trend confirmation requires price movement to exceed statistically meaningful thresholds. First, a configurable moving average is calculated to establish a dynamic baseline reflecting the underlying trend at the chosen sensitivity level: baseline = get_ma(src, sensitivity, ma_type) raw_diff = src - baseline Then, the average absolute deviation from the baseline is measured over the same period and scaled by a user-defined multiplier to construct an adaptive noise floor, which is the minimum price deviation required to confirm a trend signal: noise_floor = ta.sma(math.abs(raw_diff), sensitivity) * noise_mult The trend state is then determined by comparing raw deviation against this noise floor, with a decay mechanism applied when price re-enters the neutral zone to avoid abrupt reversals: if raw_diff > noise_floor trend_state := 1 locked_val := raw_diff else if raw_diff < -noise_floor trend_state := -1 locked_val := raw_diff else locked_val := locked_val * 0.9 The locked deviation value is then normalized by ATR to make the oscillator comparable across instruments and volatility regimes, and smoothed with a short WMA to reduce micro-fluctuations in the final output: normalized_val = locked_val / ta.atr(sensitivity) final_osc = ta.wma(normalized_val, 5) This creates a robust momentum oscillator that only registers trend conditions when price makes structurally significant moves beyond typical noise, while the ATR normalization ensures readings remain meaningful and consistent regardless of the underlying instrument's price scale or volatility level. 🟢 Signal Interpretation ▶ Bullish Trend (Oscillator Rising Above Zero with Bullish Color): When price deviation breaks above the positive noise floor, the oscillator enters bullish mode with green/bullish coloring across all visual elements = Confirmed upward momentum signal for trend-following long positions. The trend remains bullish until price deviation falls below the negative noise floor, allowing traders to stay positioned through normal consolidations without premature exits on minor pullbacks that remain within the noise boundary. ▶ Bearish Trend (Oscillator Falling Below Zero with Bearish Color): When price deviation breaks below the negative noise floor, the oscillator enters bearish mode with red/bearish coloring across all visual elements = Confirmed downward momentum signal for short positions or long exit signals. The trend remains bearish until deviation exceeds the positive noise floor, enabling traders to maintain directional bias through corrective bounces that stay within the threshold boundaries. 🟢 Features ▶ Preconfigured Presets: Three optimized parameter sets tailored for different trading styles and timeframes. "Default" delivers balanced trend detection for swing trading on 4-hour and daily charts, filtering minor noise while remaining responsive to meaningful momentum shifts. "Fast Response" uses a reactive EMA baseline with a tighter noise floor for intraday and scalping timeframes, generating earlier signals suited to active traders on 5-minute to 1-hour charts. "Smooth Trend" applies a smooth, lag-reduced HMA baseline with a demanding noise threshold for position trading on daily and weekly charts, confirming only major directional shifts with minimal false positives. ▶ Built-in Alerts: Three alert conditions enable automated monitoring of trend transitions without constant chart observation. "Bullish Trend Signal" triggers when the oscillator first enters a confirmed bullish state, alerting for potential long entries. "Bearish Trend Signal" activates when the oscillator first enters a confirmed bearish state, signaling potential short entries or long exits. "Trend Direction Changed" provides a combined alert for any trend transition regardless of direction, allowing traders to monitor both bullish and bearish opportunities through a single alert setup. ▶ Visual Customization: Six color presets (Classic, Aqua, Cosmic, Cyber, Neon, plus Custom) accommodate different chart themes and aesthetic preferences, with coordinated bullish and bearish color schemes applied consistently across all indicator elements. A layered luminance fill system creates graduated visual depth around the main oscillator line using four fill zones at progressively increasing transparency, making trend strength and direction immediately readable at a glance. Optional bar coloring tints price bars with the active trend color during confirmed bullish and bearish periods, providing instant overhead visual confirmation of trend state without requiring direct reference to the oscillator panel below.
Pine Script®指标
由QuantAlgo提供
4
TrendRSI Momentum Structure with Flip SignalsTrendRSI – Momentum Structure with Flip Signals TrendRSI is a momentum structure indicator built on RSI and a SuperTrend-style volatility model applied directly to RSI. It visualizes: RSI Moving Average (structure baseline) Dynamic trend dots (volatility-adjusted support/resistance on RSI) Direction flip signals (▲▼) at the exact moment of trend reversal Alert-ready state change detection (no spam) This tool is designed for traders who want to detect momentum continuation and early structural reversal in a clean and objective way. 🔹 How It Works 1️⃣ RSI Structure A standard RSI is calculated from the selected source. A smoothing MA (SMA / EMA / RMA / WMA) is applied to build structural momentum. 2️⃣ Volatility Model on RSI Instead of using price ATR, this script calculates an ATR-style volatility directly on RSI movement. This creates dynamic upper and lower bands around RSI. When RSI breaks those bands, direction flips. 🔹 Trend Dots Aqua dots = Uptrend Fuchsia dots = Downtrend Dots trail behind RSI like a SuperTrend stop level These dots represent the structural momentum boundary. 🔹 Flip Signals (▲▼) Signals are printed at the exact moment when: Downtrend → Uptrend = ▲ Uptrend → Downtrend = ▼ Signals only appear at the transition moment. No repeated alerts during continuation. 🔹 Alerts Three alert conditions are available: TrendRSI Flip UP TrendRSI Flip DOWN TrendRSI Flip (Any) Alerts trigger only when direction changes. 🔹 Best Use Case This indicator works especially well for: 1m execution with 5m/15m higher timeframe filter Momentum continuation strategies Early trend shift detection Scalping environments where timing precision matters It is not designed for overbought/oversold reversal trading. It is a momentum structure tool. 🔹 Philosophy TrendRSI is built around: Structure × Volatility × State Change The goal is not prediction. The goal is objective state recognition. TrendRSI – RSI構造 × ボラティリティモデル × 反転検知 TrendRSIは、RSIにSuperTrend型のボラティリティロジックを組み合わせた モメンタム構造インジケーターです。 以下を可視化します： RSIの移動平均（構造ライン） RSI上の動的トレンドドット 方向転換の瞬間サイン（▲▼） スパムなしの状態変化アラート 裁量とロジックの両立を目的とした設計です。 🔹 ロジック概要 ① RSI構造 選択ソースからRSIを算出。 そのRSIにMA（SMA / EMA / RMA / WMA）を適用し、 モメンタムの基準ラインを形成します。 ② RSI上のATRモデル 価格ではなく、 RSIの変動幅に対してATR的計算を行います。 これによりRSI上に動的な上下バンドを生成。 RSIがバンドをブレイクした瞬間に 方向転換が確定します。 🔹 トレンドドット Aqua = 上昇構造 Fuchsia = 下降構造 SuperTrendのようにトレンドを追従します。 🔹 方向転換サイン（▲▼） 下降 → 上昇 = ▲ 上昇 → 下降 = ▼ 方向が切り替わった瞬間のみ表示。 継続中は出ません。 🔹 アラート 以下の3種類に対応： Flip UP Flip DOWN Flip Any すべて「方向変化時のみ」発火します。 🔹 推奨用途 特に以下に適しています： 1分足エントリー × 5分/15分環境フィルター モメンタム継続型トレード 早期トレンド転換検出 スキャルピング RSIの70/30逆張り用途ではなく、 構造認識ツールです。 🔹 設計思想 Structure × Volatility × State Change 予測ではなく、 状態認識。
Pine Script®指标
由cony1979提供
ADX SuperTrend | RakoQuantADX SuperTrend by RakoQuant is a volatility-based trend system that adapts dynamically to market regime strength using ADX. Instead of running a fixed SuperTrend multiplier across all conditions, this tool uses trend strength (ADX) to scale the ATR multiplier in real-time: * Low trend strength → tighter bands (more responsive) * High trend strength → wider bands (more stable, fewer whipsaws) This makes it ideal for traders who want a SuperTrend that becomes more forgiving in real trends and more reactive in chop, without switching indicators. RakoQuant Architecture 1. Baseline + ATR Framework (SuperTrend Core) The system uses a clean and familiar SuperTrend foundation: * EMA Baseline for structure * ATR for volatility * Classic trailing-band logic to maintain trend continuity This ensures the indicator remains consistent, backtestable, and strategy-friendly. 2. ADX Adaptive Multiplier Engine (The Edge) The key feature is the ADX-driven multiplier boost. ADX is normalized into a 0..1 scale between a user-defined floor and ceiling: * Below ADX Floor → treated as weak/no trend * Above ADX Ceiling → treated as max trend strength That normalized value is then transformed with a power curve and mapped into a multiplier scaling range: Effective Multiplier = Base Multiplier × Scale(ADX) Where Scale is capped by Max Boost and shaped by Boost Power. This gives you a controllable “adaptive stability” system: * Smooth and stable during real trends * Fast and sensitive when the market is indecisive 3. Optional Momentum Confirmation To reduce low-quality flips, the script includes an optional momentum gate: * Baseline slope normalized by ATR * Requires slope strength alignment before confirming a flip This helps suppress false transitions that occur from volatility spikes without trend structure. Signal Model (Backtest-Ready) ADX SuperTrend uses the standard RakoQuant state logic: * Bullish Regime when SuperTrend is in bullish mode (dir < 0) * Bearish Regime when SuperTrend is in bearish mode (dir > 0) Clear state flips are produced: * Bull Flip → trend turns UP * Bear Flip → trend turns DOWN Signals are designed for: * Strategy conversion * Consistent backtests * Alert automation Visual System (Open-Source Friendly) ADX SuperTrend includes a lightweight visual framework: * Multiple palettes (RakoQuant Neon, Classic, Gold/Indigo, Ocean/Coral, Mono) * Line style options (Line Break / Line / Step) * Multi-layer glow (outer + inner) * Optional fill (to mid or to price) * Candle painting toggle * Marker style toggle (Labels / Triangles / Off) Everything is modular and can be disabled if you want “signals-only” behavior. Practical Use Cases Trend Traders * Use adaptive widening to avoid premature exits in strong trends. Chop Filtering * Use ADX floor/ceiling logic to reduce whipsaws and tighten reaction. System Builders * Works cleanly inside larger confluence systems. * State variable and flip signals map directly to backtest engines. Design Philosophy (RakoQuant) This indicator follows the RakoQuant approach: * Adaptive behavior > static parameters * Regime-sensitive risk control > fixed multipliers * Trend strength drives volatility allowance * Clean outputs built for backtesting Chart Example
Pine Script®指标
由RakoQuant提供
5
RSI SMA Cross Clr Fill MTFVishvajeet RSI SMA Cross Fill (MTF) is an enhanced Relative Strength Index indicator that combines momentum analysis with dynamic trend visualization. This indicator calculates RSI on a selectable timeframe and applies a moving average (SMA) on the RSI itself. The area between the RSI and SMA dynamically changes color based on trend direction: • Green fill when RSI is above SMA (Bullish Momentum) • Red fill when RSI is below SMA (Bearish Momentum) This provides clear visual confirmation of momentum shifts and crossover signals without cluttering the chart.
Pine Script®指标
由Vishvajeet-D-Tonde提供
Quantum Momentum Confluence [QMC]Quantum Momentum Confluence What Is This Indicator? Quantum Momentum Confluence (QMC) is a multi-component oscillator that measures the strength and direction of market momentum through a single normalized score. Rather than relying on one indicator alone, it combines four complementary modern technical analysis components using a weighted average method — producing more reliable and consistent signals as a result. The indicator operates on a normalized scale between -100 and +100. Values above zero represent bullish momentum; values below zero represent bearish momentum. What Components Are Used? QMC combines the following four components: 1. Normalized RSI Momentum (30% weight) The classic RSI value is shifted to a -100/+100 scale centered around zero instead of 50. This makes it directly comparable and combinable with the other components. 2. Kaufman Efficiency Ratio (25% weight) Measures how "efficiently" price is moving — that is, how straight and decisive the move is. A high efficiency ratio signals that the trend is strong and clean, suggesting it is more likely to continue. 3. Vortex Indicator Strength (20% weight) Generates a directional strength score based on the difference between VI+ (upward movement) and VI- (downward movement). It is particularly effective at capturing the early formation stages of a trend. 4. Chande Momentum Oscillator — CMO (25% weight) Measures the net difference between the sum of up-closes and down-closes over a given period. It provides a pure momentum reading that reveals which direction price movement is dominant. Why Use It? What Problem Does It Solve? The biggest weakness of single-indicator analysis is its vulnerability to false signals and lag. QMC addresses this in several ways: Filters out noise: When four different calculation methods are combined, even if one gives a false reading, the others collectively support the true signal. Measures trend quality: Thanks to the Efficiency Ratio, the indicator doesn't just tell you whether a trend exists — it tells you how strong and sustainable it is. Provides early warnings: The Bollinger Band squeeze detection flags potential breakout zones before major price moves occur. Works across all timeframes: Because all components are normalized, the indicator reads the same way on a 1-minute scalping chart as it does on a weekly investment chart. How to Interpret It? Main QMC Line Above +65 → Overbought zone: Price may be overextended to the upside — proceed with caution. Below -65 → Oversold zone: Price may be overextended to the downside — reversal probability increases. Zero line: Neutral momentum. A cross above zero is read as bullish; a cross below zero is read as bearish. Signal Line Crossovers QMC crosses above the signal line (▲ green triangle): Bullish momentum is strengthening — potential buying opportunity. QMC crosses below the signal line (▼ red triangle): Bearish momentum is strengthening — potential selling opportunity. Histogram A widening histogram indicates that momentum is accelerating. A narrowing histogram indicates that momentum is fading — a possible reversal may be building. Brighter bars: Strengthening momentum. Faded/transparent bars: Weakening momentum. Bollinger Band Squeeze (Yellow Dots) Yellow squares appear at the bottom of the indicator when volatility drops well below its historical average. This is an early warning that a significant price move may be approaching. A QMC crossover that follows a squeeze signal is generally considered more reliable than one that does not. Summary Table (Top Right Corner) Displays the live QMC score, RSI momentum value, Efficiency Ratio percentage, and current market state (Bullish / Bearish / Overbought / Oversold) in real time. ✅ Best Use Cases Trend following: As long as QMC remains clearly on one side of the zero line, it can be used to maintain the direction of an open position. Entry timing: A signal line crossover that follows a squeeze (yellow dot) forms a powerful combination for catching the beginning of a new trend. Multi-timeframe analysis: Identifying QMC direction on a higher timeframe and waiting for a crossover on a lower timeframe improves the risk-to-reward ratio of entries. Alert system: Five built-in alert conditions (bullish/bearish crossover, squeeze start, overbought/oversold entry) allow seamless integration with TradingView's native alert system. ⚠️ Risk Disclaimer This indicator is a technical analysis tool developed for informational and educational purposes only. No indicator can produce 100% accurate signals on its own. Any trading decisions should be made in conjunction with supporting analysis, sound risk management practices, and your own independent research. Past performance is not indicative of future results. This script does not constitute financial advice. Written in Pine Script v6 and published under the Mozilla Public License 2.0. Released as open source for the TradingView community. Feedback, suggestions, and improvements are always welcome in the comments.
Pine Script®指标
由mehmetbezgincan提供
ADX Squeeze Breakout ScreenerA multi-contract futures screener that scans 40 liquid futures markets across four asset classes — Equity Indices, Commodities, Currencies, and Bonds/Rates — looking for low-volatility coiling conditions that precede potential breakout moves. How it works The screener applies four filters to each contract on the daily timeframe: F1 — Trend: Price is above the 200 EMA (uptrend confirmed) F2 — Momentum: 18 SMA slope is positive vs 10 sessions ago (momentum rising) F3a — Coil: ADX(14) dropped below 12 at least once in the last 10 sessions (market was in a low-directional squeeze) F3b — Turn: ADX is now rising (directional pressure is building) A PASS signal requires all four filters. A NEAR signal means three of four are met — worth watching closely. Markets covered ES, NQ, YM, RTY, FDAX, FESX, FTSE, HSI, Nikkei, ASX, WTI, Brent, RBOB, Heating Oil, Nat Gas, Gold, Silver, Copper, Wheat, Corn, Soybeans, Coffee, Cotton, Sugar, EUR, GBP, JPY, AUD, CAD, CHF, NZD, DX, Peso, ZAR, BRL, EUR/GBP, ZN, ZB, ZF, Bund Settings All parameters are adjustable — EMA period, SMA period, ADX period, coil threshold, and lookback windows.
Pine Script®指标
由oxphoros提供