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隨機RSI (STOCH RSI)

Stochastic RSI Forecast [QuantAlgo]🟢 Overview The Stochastic RSI Forecast extends the classic momentum oscillator by projecting potential future K and D line values up to 10 bars ahead. Unlike traditional indicators that only reflect historical price action, this indicator uses three proprietary forecasting models, each operating on different market data inputs (price structure, volume metrics, or linear trend), to explore potential price paths. This unique approach allows traders to form probabilistic expectations about future momentum states and incorporate these projections into both discretionary and algorithmic trading and/or analysis. 🟢 How It Works The indicator operates through a multi-stage calculation process that extends the RSI-to-Stochastic chain forward in time. First, it generates potential future price values using one of three selectable forecasting methods, each analyzing different market dimensions (structure, volume, or trend). These projected prices are then processed through an iterative RSI calculation that maintains continuity with historical gain/loss averages, producing forecasted RSI values. Finally, the system applies the full stochastic transformation (calculating the position of each forecasted RSI within its range, smoothing with K and D periods) to project potential future oscillator values. The forecasting models adapt to market conditions by analyzing configurable lookback periods and recalculating projections on every bar update. The implementation preserves the mathematical properties of the underlying RSI calculation while extrapolating momentum trajectories, creating visual continuity between historical and forecasted values displayed as semi-transparent dashed lines extending beyond the current bar. 🟢 Key Features 1. Market Structure Model This algorithm applies price action analysis by tracking break of structure (BOS) and change of character (CHoCH) patterns to identify potential order flow direction. The system detects swing highs and lows using configurable pivot lengths, then analyzes sequences of higher highs or lower lows to determine bullish or bearish structure bias. When price approaches recent swing points, the forecast projects moves in alignment with the established structure, scaled by ATR (Average True Range) for volatility adjustment. Potential Benefits for Traders: Explores potential momentum continuation scenarios during established trends Identifies areas where structure changes might influence momentum Could be useful for swing traders and position traders who incorporate structure-based analysis The Structure Influence parameter (0-1 scale) allows blending between pure trend following and structure-weighted forecasts Helps visualize potential trend exhaustion through weakening structure patterns 2. Volume-Weighted Model This model analyzes volume patterns by combining On-Balance Volume (OBV), Accumulation/Distribution Line, and volume-weighted price returns to assess potential capital flow. The algorithm calculates directional volume momentum and identifies volume spikes above customizable thresholds to determine accumulation or distribution phases. When volume indicators align directionally, the forecast projects stronger potential moves; when volume diverges from price trends, it suggests possible reversals or consolidation. Potential Benefits for Traders: Incorporates volume analysis into momentum forecasting Attempts to filter price action by volume support or lack thereof Could be more relevant in markets where volume data is reliable (equities, crypto, major forex pairs) Volume Influence parameter (0-1 scale) enables adaptation to different market liquidity profiles Highlights volume climax patterns that sometimes precede trend changes Could be valuable for traders who incorporate volume confirmation in their analysis 3. Linear Regression Model This mathematical approach applies least-squares regression fitting to project price trends based on recent price data. Unlike the conditional logic of the other methods, linear regression provides straightforward trend extrapolation based on the best-fit line through the lookback period. Potential Benefits for Traders: Delivers consistent, reproducible forecasts based on statistical principles Works better in trending markets with clear directional bias Useful for systematic traders building quantitative strategies requiring stable inputs Minimal parameter sensitivity (primarily controlled by lookback period) Computationally efficient with fast recalculation on every bar Serves as a baseline to compare against the more complex structure and volume methods 🟢 Universal Applications Across All Models Each forecasting method projects potential future stochastic RSI values (K and D lines), which traders can use to: ▶ Anticipate potential crossovers: Visualize possible K/D crosses several bars ahead ▶ Explore overbought/oversold scenarios: Forecast when momentum might return from extreme zones ▶ Assess divergences: Evaluate how oscillator divergences might develop ▶ Inform entry timing: Consider potential points along the forecasted momentum curve for trade entry ▶ Develop systematic strategies: Build rules based on forecasted crossovers, slope changes, or threshold levels ▶ Adapt to market conditions: Switch between methods based on current market character (trending vs range-bound, high vs low volume) In short, the indicator's flexibility allows traders to combine forecasting projections with traditional stochastic signals, using historical K/D for immediate reference while considering forecasted values for planning and analysis. As with all technical analysis tools, the forecasts represent one possible scenario among many and should be used as part of a broader trading methodology rather than as standalone signals.
Pine Script®指標
由QuantAlgo提供
5
Setup Keltner BandS MMS + RSI SIGNALS 📊 Keltner Bands with RSI Confirmation – TradingView Script Introduction This script combines Keltner Channel logic with Relative Strength Index (RSI) confirmation to provide traders with visual signals and alerts for potential reversals. It is designed for scalping and short-term trading strategies, where precision and quick decision-making are essential. 🔧 How It Works • Keltner Bands (ATR-based): • Two sets of bands are plotted around a moving average: • Band 3 (ATR × 3) – more sensitive, suitable for aggressive entries. • Band 5 (ATR × 5) – wider, used as a filter or confirmation zone. • Signals are generated when the price crosses back inside the bands from outside. • RSI Confirmation: • RSI is calculated with a customizable period (default: 14). • Overbought and oversold levels (default: 70/30) are used to filter signals. • A bearish reversal is confirmed only if RSI is above the overbought level. • A bullish reversal is confirmed only if RSI is below the oversold level. 📌 Functions and Features • Visual Signals: • Triangles plotted above/below candles for Keltner-only signals. • Additional colored triangles for Keltner + RSI confirmed signals. • Alerts: • Configurable alerts for both Keltner-only and RSI-confirmed conditions. • Messages include the type of reversal and the band level. • Customizable Parameters: • Moving average length. • ATR multipliers (3 and 5). • RSI length and thresholds. • Colors for band fills and signals. 🎯 Usage 1. Apply the script to your chart in TradingView. 2. Adjust parameters to fit your trading style (scalping, intraday, swing). 3. Watch for signals: • Red/green/orange/teal triangles → Keltner-only reversals. • Maroon/lime/purple/blue triangles → RSI-confirmed reversals. 4. Set alerts to receive notifications when conditions are met. 5. Use RSI confirmation to filter out false signals and increase accuracy. ✅ Benefits • Clear visualization of reversal zones. • Dual-layer confirmation (Keltner + RSI). • Flexible for different timeframes and trading styles. • Ready-to-use alerts for automation or manual trading.
Pine Script®指標
由rodrigodearantes提供
Valdex RSI con Filtro MA (Simplificado)🇺🇸 VALDEX H-MA: Indicator Description VALDEX H-MA: Centered RSI with Exponential Filter This script, VALDEX H-MA, offers a highly streamlined, zero-centered Relative Strength Index (RSI) for impulse and cycle analysis, complemented by a fast Exponential Moving Average (EMA) filter. It simplifies the classic RSI by centering it at zero, making it easier to read momentum shifts and overbought/oversold conditions relative to the central equilibrium. Key Features and Customization Zero-Centered RSI: The RSI is normalized to oscillate between approximately -50 and +50 (instead of 0 to 100), with the key neutral point located exactly at 0. This immediate visual clarity aids in assessing momentum balance. RSI Length Flexibility: The primary RSI line (RSI Base) can be customized for different trading styles: Set the Length RSI to 7 for a smoother, faster RSI suitable for scalping and capturing short-term reversals. Set the Length RSI to 14 for a more standard yet still highly smoothed output, providing a reliable measure of trend momentum (note: this centered version remains smoother than the original 0-100 RSI). MA Filter (Exponential Moving Average): An adjustable EMA is included as a powerful filter. This MA can be used in two primary ways: Entry/Exit Signals: Generate trading signals when the RSI Base crosses above or below the MA Filter. Cycle Smoothing: Use the MA to smooth the short-term cycles of the RSI Base, providing a clearer indication of the underlying momentum direction. ⚙️ Technical Description The core of the VALDEX H-MA indicator relies on the following technical calculations: RSI Centralization: The RSI Base line is derived from the standard Relative Strength Index (RSI) but is mathematically shifted to be zero-centered: RSICentered​=RSI(0−100)​−50 This transformation ensures that the equilibrium point is clearly visible at the zero line. MA Filter Calculation: The MA Filter is an Exponential Moving Average (EMA) applied directly to the RSICentered​ output: MAFilter​=EMA(RSICentered​,Length MA) The EMA is used for its responsiveness and low lag, making it an effective tool for filtering noise and confirming short-term momentum shifts. Reference Lines: The indicator includes fixed reference lines at 30 (Overbought), 0 (Equilibrium), and -30 (Oversold) to quickly judge extreme conditions within the centered scale.
Pine Script®指標
由Jordi035提供
Ehlers Dominant Cycle Stochastic RSIEhlers Enhanced Cycle Stochastic RSI OVERVIEW The Ehlers Enhanced Cycle Stochastic RSI is a momentum oscillator that automatically adjusts its lookback periods based on the dominant market cycle. Unlike traditional Stochastic RSI which uses fixed periods, this indicator detects the current cycle length and scales its calculations—making it responsive in fast markets and stable in slow ones. The indicator combines John Ehlers' digital signal processing research with the classic Stochastic RSI indicator, then adds a confirmation system to ensure cycle measurements are reliable. THE THEORY Traditional oscillators use fixed lookback periods (ie, 14-bar RSI). This creates a fundamental problem: markets don't move in fixed cycles. A 14-period RSI might capture the rhythm perfectly during one market phase, then completely miss it when conditions change. Ehlers' research demonstrated that price data contains measurable cyclical components. If you can detect the dominant cycle length, you can tune your indicators to match it—like tuning a radio to the right frequency. This indicator takes that concept further by using three independent cycle detection methods and only trusting the measurement when they agree: Hilbert Transform — A mathematical technique from signal processing that extracts cycle period from the phase relationship between price and its derivative. It is fast but can be noisy. Autocorrelation Periodogram — Measures how similar the price series is to lagged versions of itself. The lag with highest correlation reveals the dominant cycle. More stable than Hilbert, but slightly slower to adapt. Goertzel Algorithm (DFT) — A frequency-domain approach that calculates spectral power at each candidate period. Identifies which frequencies contain the most energy. When all three methods converge on similar period estimates, confidence is high. When they disagree, the market may be in a non-cyclical or in transition. HOW IT CHANGES THE STOCHASTIC RSI Standard Stochastic RSI: 1. Calculate RSI with fixed period (14 bars) 2. Apply Stochastic formula over fixed period (14 bars) 3. Smooth with fixed periods Ehlers Enhanced Cycle Stochastic RSI: 1. Detect dominant cycle using three methods 2. Confirm cycle measurement (methods must agree) 3. Calculate RSI with period scaled to the detected cycle 4. Apply Stochastic formula with cycle-scaled lookback 5. Smooth adaptively The result: when the market is cycling quickly (say, 15-bar cycles), the indicator uses shorter periods and responds faster. When the market stretches into longer cycles (such as 40-bar cycles), it automatically extends its lookback to avoid whipsaws. The Period Multipliers let you fine-tune this relationship: • 1.0 = Use the full detected cycle (smoother, fewer signals) • 0.5 = Use half the cycle (more responsive, catches turns earlier) INTERPRETATION Reading the Oscillator: • K Line (Blue) — The main signal line. Moves between 0 and 100. • D Line (Orange) — Smoothed version of K. Use for confirmation. • Above 80 — Overbought. Momentum stretched to upside. • Below 20 — Oversold. Momentum stretched to downside. • Crossovers — K crossing above D suggests bullish momentum shift; K crossing below D suggests bearish. Spectral Dilation (optional): When enabled, applies a bandpass filter before cycle detection. This isolates the frequency band of interest and reduces noise. Useful for: • Very noisy instruments • Lower timeframes • When confidence stays persistently low
Pine Script®指標
由B3AR_Trades提供
Stochastic BTC OptimizedEnhanced Stochastic for Bitcoin (BTC) – Optimized for Daily Timeframe This enhanced Stochastic oscillator is specifically fine-tuned for BTC/USD on the 1D timeframe, leveraging historical data from Bitstamp (2011–2025) to minimize false signals and maximize reliability in Bitcoin's volatile swings. Unlike the classic Stochastic (14, 3, 3), this version uses optimized parameters: - K Period = 21 – smoother reaction, better suited for BTC’s macro cycles - D Period = 3, Smooth K = 3 – reduces noise while preserving responsiveness - Overbought = 85, Oversold = 15 – accounts for BTC’s tendency to trend strongly within extreme zones without immediate reversal ✅ Smart Signal Logic: Buy/sell signals appear only when %K crosses %D inside the oversold (≤15) or overbought (≥85) zones, and only the first signal is shown to avoid whipsaws. Visual Enhancements: - Thick lines when %K/%D are in overbought/oversold zones - Green/red background highlights on valid signals - Optional up/down arrows for clear entry visualization - Customizable colors, line widths, and transparency 🔒 No alerts included – clean, focused on price action and momentum. 💡 Pro Tip: For even higher accuracy, use this indicator in combination with a long-term trend filter (e.g., EMA 200). The oscillator excels in ranging or retracement phases but should not be used alone in strong parabolic moves. Based on Mozilla Public License v2.0 – feel free to use, modify, and share. Perfect for swing traders and long-term Bitcoin analysts seeking high-probability reversal zones. перевод на русский Улучшенный Stochastic для Bitcoin (BTC) — оптимизирован для дневного таймфрейма Этот улучшенный осциллятор Stochastic специально настроен под BTC/USD на дневном графике, с учётом исторических данных Bitstamp (2011–2025), чтобы минимизировать ложные сигналы и повысить надёжность в условиях высокой волатильности биткоина. В отличие от классического Stochastic (14, 3, 3), эта версия использует оптимизированные параметры: - Период K = 21 — более плавная реакция, лучше соответствует макроциклам BTC - Период D = 3, Сглаживание K = 3 — снижает шум, сохраняя отзывчивость - Уровень перекупленности = 85, перепроданности = 15 — учитывает склонность BTC к сильным трендам в экстремальных зонах без немедленного разворота ✅ Интеллектуальная логика сигналов: Покупка/продажа отображается только при пересечении %K и %D внутри зоны перепроданности (≤15) или перекупленности (≥85), и только первый сигнал фиксируется, чтобы избежать «хлыстов». Улучшенная визуализация: - Жирные линии, когда %K/%D находятся в экстремальных зонах - Зелёный/красный фон при появлении сигналов - Опциональные стрелки для чёткого отображения точек входа - Настройка цветов, толщины линий и прозрачности 🔒 Без алертов — чистый инструмент, сфокусированный на цене и импульсе. 💡 Совет профессионала: для ещё большей точности используйте этот индикатор вместе с трендовым фильтром (например, EMA 200). Осциллятор лучше всего работает в фазах консолидации или отката, но не стоит применять его в одиночку во время сильных параболических движений. На основе Mozilla Public License v2.0 — свободно используйте, модифицируйте и делитесь. Идеален для свинг-трейдеров и аналитиков Bitcoin, ищущих зоны с высокой вероятностью разворота.
Pine Script®指標
由indexrate提供
SMI Color Red/Green📌 TradingView Description – SMI Red/Green Momentum Line 🔥 Stochastics Momentum Index (SMI) – Dynamic Red/Green Version This indicator is an enhanced and modernized version of the Stochastic Momentum Index (SMI), designed to deliver a more visual, intuitive, and responsive view of trend momentum. It includes: ✔️ Smoothed SMI ✔️ Dynamic Red/Green momentum coloring ✔️ Signal EMA line ✔️ Overbought/Oversold zones with shading 🎨 Dynamic Red/Green SMI Line The main SMI line automatically changes color based on momentum direction: Green → Bullish momentum (SMI rising) Red → Bearish momentum (SMI falling) This provides instant visual feedback and highlights early momentum changes even before traditional signal-line crossovers. 📉 Indicator Structure 1️⃣ Smoothed SMI The SMI is calculated using the price’s position inside its range and then smoothed with an SMA to reduce noise. 2️⃣ EMA Signal Line A customizable EMA acts as a signal line, providing: Clear bullish/bearish crossovers Trend confirmation Cleaner entry/exit signals 3️⃣ Overbought / Oversold Zones Extreme levels are highlighted using color-filled zones: Red Zone (Overbought) → potential bearish reversal Green Zone (Oversold) → potential bullish reversal Levels are fully adjustable. 💡 How to Use It The indicator works exceptionally well across all timeframes. The most powerful signals are: ✔️ SMI crossing above/below the EMA SMI crosses above EMA → bullish signal SMI crosses below EMA → bearish signal ✔️ Leaving Overbought/Oversold zones SMI exits the oversold zone → potential long setup SMI exits the overbought zone → potential short setup ✔️ Color shifts (momentum direction) Red → Green : early bullish momentum Green → Red : early bearish momentum Perfect for scalping, day trading, and swing trading. 🚀 Why This Version Is Better Extremely visual momentum reading Noise reduction through smoothing Instantly readable color-coded trend Strong OB/OS zone visualization Works on any market and timeframe Great in combination with RSI, MACD, HMA, ALMA, and trend filters If you'd like, I can also write: 🔹 a SEO-optimized title, 🔹 recommended TradingView tags, 🔹 or a shorter promotional description.
Pine Script®指標
由maxime15提供
BIAS RSI STOCH MACD Displaysimple but effective to prevent chart clutter. Hi Traders! Today I’m showing you a **custom indicator** that combines **BIAS, RSI, Stochastic, and MACD** in one easy-to-read panel. Let’s break it down: 1️⃣ **BIAS** – Shows how far the price is from its moving average. * Positive BIAS → price is above the average. * Negative BIAS → price is below the average. 2️⃣ **RSI (Relative Strength Index)** – Measures momentum. * Above 70 → overbought * Below 30 → oversold * **50 line added** → midpoint for trend direction 3️⃣ **Stochastic (STOCH)** – Confirms momentum like RSI. * Above 80 → overbought * Below 20 → oversold 4️⃣ **MACD (Moving Average Convergence Divergence)** – Shows trend and momentum. * Histogram colors indicate strength * Lines show trend direction 5️⃣ **Visual Table** – On the top right, you can see all current indicator values at a glance, with color coding for easy interpretation. 6️⃣ **Plots & Levels** – * BIAS, RSI, Stoch are plotted clearly * RSI has **midline at 50** for trend reference * Standard overbought/oversold levels highlighted ✅ **How to Use:** * Look for RSI or Stoch crossing midline or extreme levels for potential entries. * Check MACD histogram and lines for confirmation of trend strength. * Use BIAS to see if price is stretched from the moving average. This indicator is perfect for **momentum, trend, and mean-reversion traders**, giving multiple signals in one pane without clutter. ---
Pine Script®指標
由Joda_Fib_69提供
Stochastic RSI - WT Confluence Signal Detectors (TraderDemircan)Description What This Indicator Does: This indicator combines two powerful momentum oscillators—WaveTrend and Stochastic RSI—to identify high-probability trading signals through confluence. Instead of relying on a single indicator that may generate false signals, this tool only triggers buy/sell alerts when both oscillators simultaneously confirm extreme market conditions and trend reversals. This confluence approach significantly reduces noise and helps traders focus on the most reliable setups. Key Features: Dual-Oscillator Confluence: Generates signals only when both WaveTrend crossovers and Stochastic RSI extreme levels align Normalized Scale Display: Both oscillators are plotted on a unified -100 to +100 scale for easy visual comparison Visual Signal Confirmation: Clear intersection points marked with colored circles, plus optional candle coloring at crossover moments Customizable Thresholds: Adjust overbought/oversold levels for both oscillators to match your trading style and asset volatility Clean Visual Presentation: Optional area fill showing WaveTrend momentum difference, making divergences easier to spot How It Works: The indicator operates on a confluence principle where multiple conditions must align: For BUY Signals (Green): WaveTrend 1 crosses above WaveTrend 2 (bullish crossover) WaveTrend is in oversold territory (below -53 or -60) Stochastic RSI K-line is below 20 (oversold) For SELL Signals (Red): WaveTrend 1 crosses below WaveTrend 2 (bearish crossover) WaveTrend is in overbought territory (above 53 or 60) Stochastic RSI K-line is above 80 (overbought) WaveTrend Component: Uses the hlc3 price (average of high, low, close) to calculate a channel index that identifies market momentum waves. The two WaveTrend lines (WT1 and WT2) act similarly to MACD, where crossovers indicate momentum shifts. The oscillator ranges from approximately -100 to +100, with extreme values suggesting potential reversals. Stochastic RSI Component: Applies stochastic calculations to RSI values rather than raw price, creating a more sensitive momentum indicator. Values above 80 indicate overbought conditions (potential selling opportunity), while values below 20 indicate oversold conditions (potential buying opportunity). The indicator includes both K-line (faster) and D-line (slower, smoothed) for additional confirmation. Normalization Technology: To enable direct visual comparison, the Stochastic RSI (normally 0-100 scale) is normalized to match WaveTrend's -100 to +100 scale. This allows traders to see both oscillators' movements in relation to the same reference levels, making divergences and convergences more apparent. How to Use: For Trend Traders: Wait for confluence signals in the direction of the larger trend Use buy signals in uptrends as entry points during pullbacks Use sell signals in downtrends as entry points during bounces For Reversal Traders: Focus on confluence signals at major support/resistance levels Look for divergences between price and oscillators before confluence signals Consider stronger signals when both oscillators reach extreme levels (WT beyond ±60, Stoch beyond 20/80) For Scalpers: Lower the WaveTrend Channel Length (default 10) to 5-7 for more frequent signals Tighten overbought/oversold thresholds slightly (e.g., WT: ±50, Stoch: 30/70) Use on lower timeframes (5m, 15m) with strict stop losses Settings Guide: WaveTrend Parameters: Channel Length (10): Controls sensitivity. Lower = more signals but more noise. Higher = fewer but more reliable signals Average Length (21): Smoothing period for WT2. Higher values reduce whipsaws Overbought Levels (60/53): Two-tier system. Breaching 60 indicates strong overbought, 53 is moderate Oversold Levels (-60/-53): Mirror of overbought levels for downside extremes Stochastic RSI Parameters: K-Smooth (3): Smoothing for the K-line. Higher = smoother but delayed D-Smooth (3): Additional smoothing for the D-line signal RSI Period (14): Standard RSI calculation period Stoch Period (14): Stochastic calculation lookback Oversold (20) / Overbought (80): Classic thresholds for extreme conditions Visual Options: Show WT Difference Area: Displays the momentum difference between WT1 and WT2 as a blue shaded area Show WT Intersection Points: Marks crossover points with colored circles (red for bearish, green for bullish) Color Candles at Intersection: Changes candle colors at crossover moments (blue for bearish, yellow for bullish) Show Stoch Over Signals: Displays when Stochastic RSI breaches extreme levels What Makes This Original: While WaveTrend and Stochastic RSI are established indicators, this script's originality lies in: Confluence Logic: The specific combination requiring simultaneous confirmation from both oscillators in extreme zones, not just simple crossovers Normalization Approach: Displaying both oscillators on the same -100 to +100 scale for direct visual comparison, which is not standard Multi-Tier Overbought/Oversold: Using two levels (60/53) instead of one, allowing for nuanced signal strength assessment Integrated Visual System: Combining area fills, intersection markers, and candle coloring in a coordinated display that shows momentum flow at a glance Important Considerations: This is a momentum-based oscillator system, which performs best in ranging or trending markets with clear swings In strong trending markets, the oscillator may remain in extreme zones for extended periods (remain overbought during strong uptrends, oversold during strong downtrends) Confluence signals are intentionally rare to maintain quality—expect fewer signals than with single-indicator systems Always combine with price action analysis, support/resistance levels, and proper risk management Not recommended for extremely low volatility or thin markets where oscillators may produce erratic readings Best Timeframes: Intraday: 15m, 1H (with tighter parameters) Swing Trading: 4H, Daily (with default parameters) Position Trading: Daily, Weekly (with extended Channel Length 15-20) Typical Use Cases: Identifying exhaustion points in trending markets Timing entries during pullbacks in established trends Spotting potential reversal zones at key price levels Filtering out weak momentum signals during consolidation
Pine Script®指標
由TraderDemircan_提供
MTF Stoch RSI + MACD Summary“MTF Stoch RSI + MACD Summary” is a multi-timeframe momentum and trend analysis indicator designed for TradingView. Its primary function is to consolidate Stochastic RSI and MACD readings from multiple user-defined timeframes—ranging from weekly to intraday—into a compact, color-coded summary table. This allows traders to assess the alignment or divergence of momentum and trend signals across different time horizons within a single chart view, providing an efficient means to identify potential trend continuations or reversals. The script begins by defining input parameters for both indicators. For the Stochastic RSI, the user can adjust the RSI period, stochastic length, and smoothing factors for K and D lines, while for the MACD, it allows customization of the fast and slow exponential moving average lengths. Additionally, the script offers flexibility through five user-defined timeframes, enabling multi-level signal comparison. Theme and color customization options are also included to enhance visual clarity, allowing users to personalize the display according to preference or chart background. The computational core of the script calculates the RSI based on a chosen price source (typically the closing price) and applies a stochastic transformation with smoothing to determine momentum extremes—classifying them as overbought, mid-high, mid-low, or oversold depending on their numeric range. The MACD component, computed as the difference between the fast and slow EMAs, is evaluated to determine its state: whether it is crossing upward, crossing downward, above zero, or below zero. These states represent shifts in market momentum and potential trend direction. Both Stochastic RSI and MACD values are retrieved from each selected timeframe using the request.security() function, allowing the indicator to integrate higher and lower timeframe data in real time. Each indicator reading is then converted into a descriptive label and paired with a specific background color for intuitive visual classification. The script organizes this information into a dynamic table displayed at the top-right corner of the chart. This table consists of three columns—timeframe, Stoch RSI status, and MACD status—and automatically updates with the latest market data on every bar close. Through this tabular format, traders can quickly interpret market conditions without having to switch between multiple charts or apply numerous separate indicators. Overall, the MTF Stoch RSI + MACD Summary acts as a comprehensive dashboard that integrates momentum and trend indicators across multiple timeframes. By presenting data in a simplified visual layout, it enables traders to make more informed decisions based on the consistency of market signals. This facilitates clearer identification of overbought or oversold conditions, confirmation of trend strength, and early detection of potential reversals, making it a valuable tool for multi-timeframe technical analysis.
Pine Script®指標
由MrJtrds12_提供
Volume Weighted Stochastic RSIThis indicator calculates the Stochastic RSI, enhanced with optional Volume Weighting (VWStochRSI). It measures the level of a (Volume-Weighted) RSI relative to its high-low range over a set period, providing a sensitive momentum oscillator. Key Features: Volume-Weighted Core: The indicator is built on a Relative Strength Index (RSI) that can be optionally volume-weighted (Volume weighted). Customizable Smoothing: The %K and %D lines are smoothed using a customizable moving average. The MA type (Smooth Method) can be selected (e.g., EMA, SMA, WMA) and will also be volume-weighted if the main Volume weighted option is enabled. Full Divergence Suite (Class A, B, C): The primary feature is the integrated divergence engine. It automatically detects and plots all three major types of divergences: Regular (A): Signals potential trend reversals. Hidden (B): Signals potential trend continuations. Exaggerated (C): Signals weakness at double tops/bottoms. Divergence Filtering and Visualization: Price Tolerance Filter: Divergence detection is enhanced with a percentage-based price tolerance (pivPrcTol) to filter out insignificant market noise. Persistent Visualization: Divergence markers are plotted for the entire duration of the signal and are visually anchored to the %K line level of the confirming pivot. Note on Confirmation (Lag): Divergence signals rely on a pivot confirmation method to ensure they do not repaint. The Start of a- divergence is only detected after the confirming pivot is fully formed (a delay based on Pivot Right Bars). The End of a divergence is detected either instantly (if the signal is invalidated by price action) or with a delay (when a new, non-divergent pivot is confirmed). Multi-Timeframe (MTF) Capability: MTF VWStochRSI Lines: The %K and %D lines can be calculated on a higher timeframe, with standard options to handle gaps (Fill Gaps) and prevent repainting (Wait for...). Limitation: The Divergence detection engine (pivDiv) is disabled if a timeframe other than the chart's timeframe is selected. Divergences are only calculated on the active chart timeframe. Integrated Alerts: Includes 20 comprehensive alerts for: The start and end of all 6 divergence types. The %K line crossing the %D line. The %K line crossing the Overbought, Oversold, or 50-level lines. DISCLAIMER For Informational/Educational Use Only: This indicator is provided for informational and educational purposes only. It does not constitute financial, investment, or trading advice, nor is it a recommendation to buy or sell any asset. Use at Your Own Risk: All trading decisions you make based on the information or signals generated by this indicator are made solely at your own risk. No Guarantee of Performance: Past performance is not an indicator of future results. The author makes no guarantee regarding the accuracy of the signals or future profitability. No Liability: The author shall not be held liable for any financial losses or damages incurred directly or indirectly from the use of this indicator. Signals Are Not Recommendations: The alerts and visual signals (e.g., crossovers) generated by this tool are not direct recommendations to buy or sell. They are technical observations for your own analysis and consideration.
Pine Script®指標
由AustrianTradingMachine提供
GTI BGTI: RSI Suite (Standard • Stochastic • Smoothed) A three-layer momentum and trend toolkit that combines Standard RSI, Stochastic RSI, and a Smoothed/“Macro” RSI to help you read intraday swings, trend transitions, and high-probability reversal/continuation spots. All in one pane with intuitive coloring and optional divergence markers and alerts. Why this works * Stochastic RSI (K/D) visualizes fast momentum swings and timing. * Standard RSI moves more gradually, helping confirm trend transitions that may span several Stochastic cycles. * Smoothed RSI (Average → Macro) adds a second-pass filter and slope persistence to reveal the macro direction while suppressing noise. Used together, Stochastic guides entries/exits around local highs/lows, while the RSI layers improve confidence when a small swing is likely part of a larger turn. What you’ll see * Standard RSI (yellow; pink above Bull line, aqua below Bear line). * Stochastic RSI (K/D) with contextual colors: * Greens when RSI is weak/oversold (bearish conditions → watch for bullish reversals/continuations). * Reds when RSI is strong/overbought (bullish conditions → watch for bearish reversals/continuations). * Smoothed (Macro) RSI with trend color: * Red when macro is ascending (bullish), * Aqua when macro is descending (bearish). * Divergences (optional markers): * Bearish: RSI Lower High + Price Higher High (red ⬇). * Bullish: RSI Higher Low + Price Lower Low (green ⬆). * No repaint: pivots confirm after the chosen right-bars window. How to use it * Bullish Reversal * Macro RSI is reversing at a higher low after price has been in a overall downtrend * Stochastic RSI is switching from green to red in an overall downtrend * Bullish Oversold * Macro RSI is reversing from a significantly low level after price has a short but strong dip during an overall uptrend * Stochastic RSI is switching from green to red in an overall uptrend * Bullish Continuation * Macro RSI is ascending with a strong slope or forming a higher low above the 50 line * Stochastic RSI is reaching a bottom but still painted red * Bearish Reversal * Macro RSI is reversing at a lower high after price has been in a overall uptrend * Stochastic RSI is switching from red to green in an overall uptrend * Bearish Overbought * Macro RSI is reversing from a significantly high level after price has a short but strong jump during an overall downtrend * Stochastic RSI is switching from red to green in an overall downtrend * Bearish Continuation * Macro RSI is descending with a strong slope or forming a lower high below the 50 line * Stochastic RSI is reaching a top but still painted green * Divergences: Use as signals of exhaustion—best when aligned with Macro RSI color/slope and key levels (e.g., Bull/Bear lines, 50 midline). *** IMPORTANT *** * Stack confluence, don’t single-signal trade. Look for: * 1) Macro RSI color & slope (red = ascending/bullish, aqua = descending/bearish) * 2) Standard RSI location (above/below Bull/Bear lines or 50) * 3) Stoch flip + direction * 4) Price structure (HH/HL vs LH/LL) * 5) Divergence type (regular vs hidden) at meaningful levels * Trade with the macro * Prioritize longs when Macro RSI is red or just flipped up * Prioritize shorts when Macro RSI is aqua or just flipped down * Counter-trend setups = smaller size and faster management. * Location > signal * The same crossover/divergence is higher quality near Bull (~60)/Bear(~40) or extremes than in the mid-range chop around 50. * Early vs confirmed * Use the early pivot heads-up for anticipation, but scale in only after the confirmed pivot (right-bars complete). If early signal fails to confirm, stand down. * Define invalidation upfront * For divergence entries, place stops beyond the pivot extreme (LL/HH). If Macro RSI flips against your trade or RSI breaks back through 50 with slope, exit or tighten. * Multi-timeframe alignment * Best results come when entry timeframe (e.g., 1H) aligns with higher-TF macro (e.g., 4H/D). If they disagree, treat it as mean-reversion only. * Avoid common traps * Skip: isolated Stochastic flips without RSI support, divergences without price HH/LL confirmation, and serial divergences when Macro RSI slope is strong against the idea. * Parameter guidance * Start with defaults; then tune: confirmBars 3–7, minSlope 0.05–0.15 RSI pts/bar, pivot left/right tighter for faster but noisier signals, wider for cleaner but fewer. * Alerts = workflow, not auto-trades * Use Macro Flip + Divergence alerts as a checklist trigger; enter only when your confluence rules are met and risk is defined. Key inputs (tweak to your market/timeframe) * RSI / Stochastic lengths and K/D smoothing. * Bull / Bear Lines (default 61.1 / 43.6). * Average RSI Method/Length (SMA/EMA/RMA/WMA) + Macro Smooth Length. * Trend confirmation: bars of persistence and minimum slope to reduce flip noise. * Pivot look-back (left/right) for divergence confirmation strictness. Alerts included * Macro Flip Up / Down (Smoothed RSI regime change). * RSI Bullish/Bearish Divergence (confirmed at pivot). * Stochastic RSI continuation/divergence (optional). Tips * Level + Slope matter. High/low RSI level flags conditions; slope confirms impulse/continuation. * Let Stochastic time the swing; let Macro RSI filter the trend. * Tighten or loosen pivot windows to trade fewer/cleaner vs. more/faster signals.
Pine Script®指標
由theValleyMan提供
4
Dual Table Dashboard - Correct V3add RSI Data## 📈 Trading Applications ### 1. Trend Following Strategy ``` 1. Check TABLE 1 for trend direction (AnEMA29 + PDMDR) 2. If both green → Look for longs 3. If both red → Look for shorts 4. Use TABLE 2 for entry levels ``` ### 2. Support/Resistance Strategy ``` @70 levels = Resistance (sell/take profit zones) @50 levels = Pivot (breakout levels) @30 levels = Support (buy/accumulation zones) ``` ### 3. Multi-Timeframe Alignment ``` W_RSI → Weekly bias (long-term) D_RSI → Daily bias (medium-term) Sto50 → Current position (swing) Sto12 → Immediate position (day trade) RSI(7) & RSI(3) → Entry timing (scalp) ``` ### 4. Color Scanning Method **Quick visual analysis:** - Count greens vs reds in each row - More greens = Bullish position - More reds = Bearish position - Mixed colors = Transitioning/choppy --- ## ✅ Verification & Accuracy ### Tested Against AmiBroker: - ✅ RSI band values match within ±0.01% - ✅ Stochastic channels match exactly - ✅ Color logic matches exactly - ✅ All formulas verified line-by-line ### Known Minor Differences: Small variations (<1%) may occur due to: 1. **Platform calculation precision** - Different floating-point engines 2. **Historical data feeds** - Slight variations in past prices 3. **Weekly bar boundaries** - TradingView vs AmiBroker week definitions 4. **Initialization period** - First N bars need to "warm up" **These minor differences don't affect trading signals!** --- ## ⚙️ Settings & Customization ### Input Parameters: ```pine emaLen = 29 // EMA Length for angle calculation rangePeriods = 30 // Angle normalization lookback rangeConst = 25 // Angle normalization constant dmiLen = 14 // DMI/ADX Length for PDMDR ``` ### Available Positions: Can be changed in the code: - `position.top_left` - `position.top_center` - `position.top_right` - `position.middle_left` (Table 2 default) - `position.middle_center` - `position.middle_right` - `position.bottom_left` (Table 1 default) - `position.bottom_center` - `position.bottom_right` ### Text Sizes: - `size.tiny` - `size.small` (current default) - `size.normal` - `size.large` - `size.huge` --- ## 🎯 Best Practices ### DO: ✅ Use multiple confirmations before entering trades ✅ Combine with price action and chart patterns ✅ Pay attention to color changes across timeframes ✅ Use @50 levels as key pivot points ✅ Watch for alignment between W_RSI and D_RSI ### DON'T: ❌ Trade based on color alone without confirmation ❌ Ignore the overall trend (Table 1) ❌ Enter trades against strong trend signals ❌ Overtrade when colors are mixed/choppy ❌ Ignore risk management rules --- ## 📊 Example Reading ### Bullish Setup: ``` TABLE 1: AnEMA29: Green (15°) across all 3 bars PDMDR: Green (1.65) and rising TABLE 2: W_RSI@50: Green (price above) D_RSI@50: Green (price above) Sto50@50: Green (price above midpoint) Sto12@50: Green (price above midpoint) Interpretation: Strong bullish trend confirmed across multiple timeframes Action: Look for long entries on pullbacks to @50 or @30 levels ``` ### Bearish Setup: ``` TABLE 1: AnEMA29: Red (-12°) across all 3 bars PDMDR: Red (0.45) and falling TABLE 2: W_RSI@50: Red (price below) D_RSI@50: Red (price below) Sto50@50: Red (price below midpoint) Interpretation: Strong bearish trend confirmed Action: Look for short entries on rallies to @50 or @70 levels ``` ### Reversal Signal: ``` TABLE 1: -2D: Red, -1D: Yellow, 0D: Green (momentum shifting) TABLE 2: Price just crossed above multiple @50 levels Colors changing from red to green Interpretation: Potential trend reversal in progress Action: Wait for confirmation, consider early long entry with tight stop ``` --- ## 🔍 Troubleshooting ### "Values don't match AmiBroker exactly" - Check you're on the same timeframe - Verify the symbol is identical - Compare historical data (last 20 closes) - Small differences (<1%) are normal ### "Tables are overlapping" - Adjust positions in code - Use different combinations (top/middle/bottom with left/center/right) ### "Colors seem wrong" - Verify current close price - Check if you're comparing same bar - Ensure both platforms use same session times ### "Script takes too long" - Use on Daily or higher timeframes - The RSI band calculation is computationally intensive - Don't run on tick-by-tick data --- ## 📝 Version History **v3.0 (Final)** - Current version - RSI band calculation verified correct - Tables positioned bottom-left and middle-left - All values match AmiBroker - Production ready ✅ **v2.0** - Fixed RSI band algorithm order (calculate before updating P/N) - Improved variable scope handling **v1.0** - Initial implementation - Had incorrect RSI band calculation --- ## 📄 Files in Package
Pine Script®指標
由insomniac_vampire提供
1
Blue Dot Red DotInspired by Dr Wish This script is a confluence indicator designed to identify potential trend reversals or "mean reversion" trade setups. It plots buy (blue) and sell (red) dots directly on your price chart. The core strategy is to find moments where price is overextended (using Bollinger Bands) and momentum is simultaneously reversing (using the Stochastic Oscillator). A signal is only generated when both of these conditions are met. Core Components The script combines two classic technical indicators: Bollinger Bands (BB): These create a "channel" around the price based on a simple moving average (the basis) and a standard deviation (dev). Upper Band: Basis + (2.0 * StdDev) Lower Band: Basis - (2.0 * StdDev) In this script, the bands are used to identify when the price has moved significantly far from its recent average, suggesting it's "overbought" (at the upper band) or "oversold" (at the lower band) and may be due for a pullback. Stochastic Oscillator: This is a momentum oscillator that compares a closing price to its price range over a certain period. It consists of two lines: %K (the main, faster line) and %D (a moving average of %K, the slower signal line). It's used to identify overbought and oversold momentum conditions and, more importantly, momentum shifts, which are signaled by the %K and %D lines crossing. Signal Logic: How the Dots Are Generated This script's "secret sauce" is that it demands three specific conditions to be true at the same time before plotting a dot. 🔵 Blue Dot (Buy Signal) A blue dot will appear below a price bar if all three of these conditions are met: Stochastic Crossover: The faster %K line crosses above the slower %D line (ta.crossover(k, d)). This signals that short-term momentum is starting to turn bullish. Was Oversold: On the previous bar, the %K line was below the "Oversold Threshold" (was_oversold = k < oversold). This ensures the bullish crossover is happening from an oversold (or at least bearish) momentum state. Note: The default oversold threshold is set to 50. This is a key detail. It means the script is looking for a bullish crossover that originates from anywhere in the bottom half of the Stochastic range, not just the traditional "extreme" oversold area (like 20). Price Extension: Within the last 3 bars (the current bar or the two before it), the price's low must have touched or gone below the lower Bollinger Band (bb_touch_lower). This confirms that the price itself is in an "oversold" or overextended area. In plain English: A blue dot appears when the price has recently dipped to an extreme low (touching the lower BB) and its underlying momentum has just started to turn back up (Stoch cross from the lower half). 🔴 Red Dot (Sell Signal) A red dot will appear above a price bar if all three of these conditions are met: Stochastic Crossunder: The faster %K line crosses below the slower %D line (ta.crossunder(k, d)). This signals that short-term momentum is starting to turn bearish. Was Overbought: On the previous bar, the %K line was above the "Overbought Threshold" (was_overbought = k > overbought). The default for this is 80, which is a traditional overbought level. Price Extension: Within the last 3 bars (the current bar or the two before it), the price's high must have touched or gone above the upper Bollinger Band (bb_touch_upper). This confirms that the price itself is in an "overbought" or overextended area. A red dot appears when the price has recently spiked to an extreme high (touching the upper BB) and its underlying momentum has just started to roll over and turn back down (Stoch cross from the overbought zone).
Pine Script®指標
由tommyttcat提供
Triple Stochastic RSITriple Stochastic RSI (TSRSI) The Triple Stochastic RSI is a momentum visualization tool designed to help identify potential market tops and bottoms with greater clarity. This indicator stacks three layers of smoothed StochRSI — Fast , Slow , and Slowest — each derived from increasingly longer RSI and Stochastic periods. By analyzing how these layers interact, especially when the Slow (purple) and Slowest (orange) lines converge or cross near overbought or oversold zones, traders can spot high-probability reversal points. These moments often precede price turning points, and the signals gain strength when confirmed by divergences between price and indicator movement. Key features include: Triple StochRSI smoothing to capture short- to long-term momentum shifts. Dynamic overbought/oversold signals with visual cross markers. Built-in trend sentiment and average streak statistics. Alerts for crossovers, trend shifts, and extended over/underperformance streaks. Use it as a standalone momentum framework or as a supporting layer for divergence detection and market exhaustion analysis. The stats table in your script provides insight into how long each Stochastic line (%K) typically stays above or below the 50 midline, and how the current streak compares to that average. 1. "Current" Column This shows how many consecutive bars the %K has been: Above 50 (▲) OR Below 50 (▼) It updates in real time on the last bar. 2. "Avg ▲ / Avg ▼" Column These are historical averages based on your lookbackPeriod (default 1000 bars). It shows: The average length of time %K stays above 50 (bullish bias) The average time it stays below 50 (bearish bias) Example Breakdown: Let’s say the "Slow" row shows: Current: 7 ▼ Avg ▲ / Avg ▼: 6 / 5 This means: %K on the Slow lane has been below 50 for 7 bars Historically, it only stays below 50 for about 5 bars on average So, this bearish streak is already longer than usual How to Use This Information: A longer-than-average streak could imply a maturing move, potentially near exhaustion. If current ▲ or ▼ streak is nearing or exceeding its average, it may warn of an upcoming shift. Good for contextualizing trends and avoiding late entries.
Pine Script®指標
由XYZ-Trades提供
1
Alt buy signal 1H Entry + 4H Confirm (MACD + Stoch RSI + HMA)This indicator is a multi-timeframe (MTF) analysis tool designed for the ALT trading , capturing entry signals on the 1-hour (1H) timeframe and confirming trends on the 4-hour (4H) timeframe. It combines MACD, Stoch RSI, and Hull Moving Average (HMA) to identify precise buy opportunities, particularly at reversal points after a downtrend or during trend shifts. It visually marks both past and current BUY signals for easy reference. Key Features: 1H Entry Signal (Early Ping): Triggers on a MACD golden cross (below 0) combined with a Stoch RSI oversold cross (below 20), offering an initial buy opportunity. 4H Trend Confirmation (Entry Ready): Validates the trend with a 4H MACD histogram rising (in negative territory) or a golden cross, plus a Stoch RSI turn-up (above 30). Past BUY Display: Labels past data points where these conditions were met as "1H BUY" or "FULL BUY," facilitating backtesting. HMA Filter: Optional HMA(16) to confirm price breakouts, enhancing trend validation. Purpose: Ideal for short-term scalping and swing trading. Supports a two-step strategy: initial partial entry on 1H signals, followed by additional entry on 4H confirmation. Usage Instructions Installation: Add the indicator to an IMX/USDT 1H chart on TradingView. Signal Interpretation: lime "1H BUY": 1H conditions met, consider initial entry (stop-loss: 3-5% below recent low). green "FULL BUY": 1H+4H conditions met, confirm trend for additional entry (take-profit: 10% below recent swing high). Customization: Adjust TF (1H/4H), MACD/Stoch RSI parameters, and HMA usage via the input settings. Alert Setup: Enable alerts for "ENTRY READY" (1H+4H) or "EARLY PING" (1H only) conditions. Advantages Accuracy: Reduces false signals by combining MACD golden cross below 0 with Stoch RSI oversold conditions. Dual Confirmation: 1H for quick timing and 4H for trend validation, improving risk management. Visualization: Past BUY points enable easy backtesting and pattern recognition. Flexibility: 4H confirmation mode adjustable (histogram rise or golden cross). Limitations Timeframe Dependency: Optimized for 1H charts; may not work on other timeframes. Market Conditions: Potential whipsaws in sideways markets; additional filters (e.g., RSI > 50) recommended. Manual Management: Stop-loss and take-profit require user discretion.
Pine Script®指標
由coinmong提供