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Overbought-oversold

Trend Pressure Prism [LuxAlgo]The Trend Pressure Prism indicator is a comprehensive trend-analysis tool that synthesizes momentum, market structure, and pullback quality into a single composite oscillator to identify high-conviction trading opportunities. 🔶 USAGE The indicator operates as a "prism," refracting price action through three distinct lenses to determine the total pressure behind a market move. Users can monitor the central ribbon to gauge trend strength and the "Agreement" metric to identify how unified the underlying forces are. 🔹 Trend States & Conviction The oscillator fluctuates between -100 and 100. When the ribbon enters the "Extreme Zones" (above 80 or below -80), the background glows, signaling a period of high conviction. Bullish Conviction: High positive pressure with unified agreement among the three pillars. Bearish Conviction: High negative pressure with unified agreement among the three pillars. Exhaustion: Occurs when the pressure score remains high but agreement drops below 50%, suggesting a potential reversal or thinning liquidity. 🔹 Filtered Crossover signals The indicator includes a Signal Line (EMA) that generates entry and exit cues. To ensure only high-quality opportunities are highlighted, signals are filtered by primary conditions: Relative Volume (RVOL): Ensures the move is backed by institutional participation. Agreement Filter: Requires a minimum level of harmony between momentum and structure. Dynamic Sizing: Signals are plotted as circles on the ribbon. Their size and opacity scale based on volume—larger, solid circles represent high-volume breakouts, while smaller circles indicate standard filtered moves. 🔶 DETAILS The script is built upon three core components that form the Composite Pressure Score: Momentum Drive: Measures the aggression of price movement using a normalized Rate of Change. Structural Alignment: Analyzes price position relative to fast and slow EMAs to ensure the trend has structural support. Pullback Quality: Evaluates the health of retracements by analyzing where price sits within its recent range. The Agreement metric calculates the mathematical harmony between these three components. High agreement suggests a "perfect storm" where all three factors point in the same direction, increasing the probability of a sustained move. 🔹 Dashboard Information The on-screen dashboard provides a real-time summary of the market's technical state: Current State: Identifies the market regime, such as "Bullish/Bearish Conviction," "Exhaustion" (divergent forces), or "Glass / Neutral" (low-conviction environments). Action: Provides a suggested context based on the prism's logic. This includes "Bullish/Bearish Cross" for potential entries, "Hold" for trending environments with high agreement, and "Wait" for low-conviction periods. Pressure Score: The numerical value of the composite oscillator (-100 to 100). Agreement: A percentage representing how unified the three internal forces are. Higher percentages indicate stronger confluence. 🔶 SETTINGS 🔹 Calculation Settings Lookback Period: Determines the window used for momentum, structure, and range calculations. Prism Sensitivity: Controls how reactive the normalized scores are to price changes. Min Signal RVOL: The volume threshold required to trigger a signal circle (e.g., 1.2 requires 20% above average volume). Min Signal Agreement: The required harmony between the 3 pillars (0.0 to 1.0) for a signal to appear. 🔹 Visual Settings Prism Opacity: Adjusts the transparency of the central ribbon and conviction glows. Enable Dashboard: Toggles the on-screen information panel. Position/Size: Controls the placement and scale of the dashboard UI.
Pine Script®指標
由LuxAlgo提供
2
Isotonic Regression Oscillator [LuxAlgo]The Isotonic Regression Oscillator indicator aims to quantify the degree of trendiness and structural complexity in price movement by comparing non-decreasing and non-increasing fits. It uses the Pool Adjacent Violators Algorithm (PAVA) to determine the best-fitting monotonic sequence for a given period, providing a normalized oscillator that highlights the strength and direction of the underlying trend. Note: The isotonic regression fit displayed on the price chart is subject to repainting and is displayed retrospectively to illustrate the most recent calculation window. 🔶 USAGE The indicator consists of an oscillator oscillating between -100 and 100, and a visual fit line displayed on the price chart. 🔹 Interpretation Positive Values: Indicate that a non-decreasing (bullish) fit has a lower Mean Squared Error (MSE) than a non-increasing fit. Higher values suggest a more complex, multi-step bullish structure. Negative Values: Indicate that a non-increasing (bearish) fit has a lower MSE. Lower values suggest a more complex bearish structure. Zero Crosses: A crossing of the zero line indicates a shift in the "best fit" direction, signaling a potential change in the dominant trend bias. 🔹 Fit Complexity The magnitude of the oscillator is determined by the number of "pools" or steps in the regression fit. A value near 100 or -100 suggests a highly granular fit that closely follows the price movement, while values near 0 suggest a very simple, flat, or linear-like monotonic structure. 🔶 DETAILS 🔹 The PAVA Algorithm Isotonic regression involves finding a series of non-decreasing (or non-increasing) values that are as close as possible to the original data points. The script implements the Pool Adjacent Violators Algorithm (PAVA). This algorithm works by iteratively averaging adjacent values that violate the monotonic constraint (e.g., in a non-decreasing fit, if a previous value is greater than the current value, they are pooled together and averaged). 🔹 MSE-Based Selection For every bar, the indicator calculates two regressions: one forced to be non-decreasing and one forced to be non-increasing. It calculates the Mean Squared Error (MSE) for both. The fit with the lower MSE is selected as the representative model for the current price action. 🔹 Normalization The oscillator value is normalized based on the number of unique "pools" (constant segments) found by the PAVA. The formula used is: ((Number of Pools - 1) / (Period - 1)) * 100 This scales the complexity of the trend into a readable range of 0 to 100 (or -100 for bearish fits). 🔶 SETTINGS Period: The lookback window used to calculate the isotonic regression fits. Source: The price data used for the calculations (defaults to Close). 🔹 Style Bullish Color: The color used for the oscillator and fit line when the bullish fit is dominant. Bearish Color: The color used for the oscillator and fit line when the bearish fit is dominant. Fit Line Width: Controls the thickness of the polyline fit displayed on the chart. Fit Line Style: Sets the visual style (Solid, Dashed, or Dotted) of the regression fit line.
Pine Script®指標
由LuxAlgo提供
1
Normalized Resonator [LuxAlgo]The Normalized Resonator indicator provides a specialized bandpass oscillator designed to isolate specific market cycles while maintaining a normalized scale for overbought and oversold analysis. 🔶 USAGE The indicator can be used to identify cyclical turns in the market by isolating a specific frequency (period) and filtering out noise. Traders can use the oscillator to spot potential reversals when the price reaches extreme levels or when the main line crosses its signal line. 🔹 Trend Identification Beyond reversal signals, the oscillator serves as a momentum and trend filter. When the oscillator is sustained above the zero line, it indicates a bullish cycle where the isolated frequency is currently in an upward phase. Conversely, values below zero indicate a bearish cycle. The distance from the zero line represents the strength of the cycle relative to its recent historical peaks. 🔹 Filtering and Momentum The "Bandwidth" setting is crucial for practical application. A lower bandwidth (e.g., 0.1 - 0.3) creates a sharper filter that is highly selective of the central period, which is useful for identifying very specific recurring cycles but may increase lag. A wider bandwidth (e.g., 0.5 - 0.8) allows more price movement through, making the oscillator more reactive to momentum shifts and broader market swings. 🔹 Trading Signals The script features built-in signals that appear on the main chart to highlight potential exhaustion points: Bullish Reversal: Indicated by a green "▲" label below the price. This occurs when the oscillator crosses above the signal line while below the oversold threshold. Bearish Reversal: Indicated by a red "▼" label above the price. This occurs when the oscillator crosses below the signal line while above the overbought threshold. 🔹 Combining with Price Action For the best results, traders should look for confluence between the resonator signals and price action structures. For example, a bullish crossover occurring at a major horizontal support level or a trendline adds significant weight to the signal. In trending markets, the resonator can be used to "buy the dip" by looking for bullish signals that occur when the higher-timeframe trend is up, rather than attempting to catch every reversal in both directions. 🔶 DETAILS The script is built upon a digital resonator filter, which is a type of second-order bandpass filter. Unlike standard oscillators that use moving average differences, a resonator is mathematically tuned to "vibrate" at a specific frequency (the Center Period). 🔹 Normalization Standard bandpass filters often have varying amplitudes depending on market volatility, which makes static levels difficult to use. This script solves this by implementing a normalization process. It calculates the highest absolute peak of the filter output over a rolling lookback period. By dividing the raw filter output by this peak, the oscillator is squeezed into a range typically between -1 and +1, allowing for consistent Overbought (OB) and Oversold (OS) levels regardless of the asset's price scale or volatility. 🔶 SETTINGS Center Period: The primary cycle length (in bars) the filter aims to isolate. Bandwidth: Determines the width of the passband. Lower values result in a very sharp, selective filter. Higher values allow more frequencies to pass. Lookback Multiplier: Sets the normalization window as a multiple of the Center Period. A value of 1.0 means the peak is searched for over a window equal to the Center Period. Signal Line Period: The smoothing length for the Signal Line (EMA). Overbought/Oversold: The threshold levels used to trigger the chart signals. Signal Size: Adjusts the visual size of the "▲" and "▼" labels on the chart.
Pine Script®指標
由LuxAlgo提供
10
Harmonic Resonance Oscillator [LuxAlgo]The Harmonic Resonance Oscillator indicator provides a specialized oscillator that decomposes price action into multiple harmonic cycles to identify confluence in market rotations. By isolating short, medium, and long-term frequencies, the tool aims to pinpoint exhausted price movements and potential reversal zones through the concept of cyclic resonance. 🔶 USAGE The Harmonic Resonance Oscillator can be used to identify market turning points by observing when the aggregate cycle resonance reaches extreme levels. Unlike standard oscillators that rely on a single lookback period, this tool aggregates multiple filtered cycles to provide a more robust view of market momentum and exhaustion. When the oscillator enters the dynamic overbought (upper) or oversold (lower) zones, it indicates that the various price cycles are aligning at an extreme, often preceding a corrective move or a trend reversal. 🔹 Harmonic Multipliers The script uses a Reference Period combined with three multipliers to define the cycles: The Short Multiplier captures fast, intraday-style fluctuations. The Medium Multiplier focuses on the primary trend rhythm. The Long Multiplier tracks broader market cycles. When all three cycles reach peak or trough levels simultaneously, the oscillator displays a "resonance" peak, which is highlighted by background coloring if the signal exceeds the dynamic thresholds. 🔶 DETAILS The indicator is built upon three primary technical pillars: 🔹 Ehlers' Bandpass Filter At its core, the indicator uses John Ehlers' Cycle decomposition method. The bandpass filter is designed to pass only price components within a specific frequency range while attenuating everything else. This allows the script to "tune in" to specific market rhythms without the lag typically associated with moving averages. 🔹 Normalization & Resonance Each isolated cycle is normalized onto a scale of 0 to 100 using a specific lookback length. The final "Harmonic Resonance" signal is the arithmetic mean of these three normalized cycles. A value of 50 represents a neutral state, while values approaching 0 or 100 represent extreme harmonic alignment. 🔹 Dynamic Volatility-Adjusted Zones The Overbought and Oversold thresholds are not static. They adjust dynamically based on the standard deviation of the resonance signal. During periods of high cyclic volatility, the bands expand to require stronger confluence for a signal; during low volatility, the bands contract to stay sensitive to smaller market rotations. 🔶 SETTINGS 🔹 Harmonic Settings Reference Period: The base period used to calculate the harmonic cycles. Short Multiplier: Multiplier applied to the reference period for the short-term cycle. Medium Multiplier: Multiplier applied to the reference period for the medium-term cycle. Long Multiplier: Multiplier applied to the reference period for the long-term cycle. Bandwidth: Controls the "tightness" of the bandpass filter. Lower values isolate specific cycles more precisely. 🔹 Normalization Settings Normalization Lookback: The window used to scale the cycles and calculate the volatility of the resonance signal. 🔹 Overbought / Oversold Control Overbought Threshold: The base level for the upper dynamic zone (default 80). Oversold Threshold: The base level for the lower dynamic zone (default 20). 🔹 Style Bullish Color: Color of the oscillator when above the 50 midpoint. Bearish Color: Color of the oscillator when below the 50 midpoint. Overbought Color: Color of the upper dynamic threshold. Oversold Color: Color of the lower dynamic threshold. Show Background Highlighting: Toggles the background coloring when resonance reaches extreme levels.
Pine Script®指標
由LuxAlgo提供
3
Rhokeo-VW-RSI Histogram for Cumulative Delta by ZeiirmanRhokeo-VW-RSI Histogram: Volume-Weighted Momentum (use with Cumulative Delta from Zeiierman) Note that Cumulative Delta is a paid indicator. Overview: The Rhokeo-VW-RSI Histogram is a momentum oscillator designed to filter out market noise by integrating volume directly into the RSI calculation. Unlike a standard RSI, which only considers price change, this indicator weights those changes by the volume occurring at the time. It creates a momentum profile in the form of a Histogram. If the price moves on high volume, the indicator reflects that strong market interest through its volume-weighted gain and loss calculations. It is particularly effective as a complementary filter for “Cumulative Delta” from Zeiierman to confirm the strength behind a move before you enter a trade. How It Works The indicator operates on a normalized scale of -1.0 to +1.0 for easier visual interpretation and compatibility with Cumulative Delta indicator: • The Volume-Weighted Core: Gains and losses are calculated by multiplying the price change by volume to ensure the "Relative Strength" reflects true capital flow. • Smoothing for Clarity: The raw Volume Weighted RSI (VW-RSI) is processed through a customizable Moving Average—such as SMA, EMA, SMMA, WMA, or VWMA—to produce the smooth histogram. • Four-Zone Coloring System: The histogram changes color dynamically based on momentum intensity: o Strong Bull: Price is trending up with high-volume conviction. o Weak Bull: Positive momentum, but not yet overextended. o Weak Bear: Negative momentum starting to build. o Strong Bear: Heavy selling pressure with high-volume conviction. Key Features • Shading: The background features optional red and green shading in the "Extreme" zones to warn traders of potential exhaustion areas. • Dynamic Zero Line: The center line flips color between Green and Red based on whether the VW-RSI is positive or negative. • Customization: Traders can adjust the smoothing length, source price, and the specific levels for overbought/oversold zones. Best Use Case for New Traders: New traders often get "faked out" by price spikes that have no volume behind them. This indicator helps confirm and time better entries: 1. Wait for your Cumulative Delta indicator to give a signal. 2. Check the VW-RSI Histogram and whether it confirms or not. 3. Long Entry: Only enter if the histogram is positive and rising (above 0). 4. Short Entry: Only enter if the histogram is negative and decreasing (below 0). ________________________________________ Disclaimer Financial Risk: • Trading involves significant risk, and most traders lose money. • This indicator is a tool for technical analysis and does not constitute financial, investment, or trading advice. • Past performance is not indicative of future results; never trade with money you cannot afford to lose. Usage & Reliability: • The Rhokeo-VW-RSI Histogram is provided "as-is" for educational and informational purposes only. • While volume-weighting aims to filter market noise, no indicator can guarantee 100% accuracy or predict future market movements with certainty. • This script is intended to be a complementary tool that works well with other indicators in this case the Cumulative Delta from Zeiirman; it should be used in conjunction with other forms of analysis, risk management, and your own due diligence. Commercial Notice: • If you are using this alongside a third-party paid indicator, please note that I am not responsible for the performance or support of external products. • Users are responsible for their own trade execution and account management.
Pine Script®指標
由nabil007提供
Std Dev Zones MTFStd Dev Zones MTF Key Features Overview • ⭐ Built using ADR10 (Average Daily Range) logic to measure volatility-based standard deviation zones from timeframe open. • ⚙️ ADR10 STD DEV Zones Pine v6 — MTF support for Daily, H4, H8, H12 timeframes for multi-timeframe volatility analysis. • 📦 Dynamic zones calculated from period open (Daily/H4/H8/H12) using average range = clean, objective volatility structure. • 📊 ±0.5 SD zones = neutral territory — price within normal range from open. • 📈 +0.75 SD & +1.0 SD = OVERBOUGHT zones — price extended above normal range, potential exhaustion or reversal area. • 📉 -0.75 SD & -1.0 SD = OVERSOLD zones — price extended below normal range, potential exhaustion or reversal area. • 🔥 +1.25 SD = MAX OVERBOUGHT — extreme extension above open, highest volatility threshold for exits/profit-taking. • 🧊 -1.25 SD = MAX OVERSOLD — extreme extension below open, highest volatility threshold for exits/profit-taking. • 🧠 Adjustable zone thickness (% of ADR10) so zones scale with market volatility — perfect for Gold, Forex, Crypto swings. • 🎨 Color-coded zones with large labels inside each zone for instant visual clarity — no interpretation lag. • 🧭 Zones extend throughout the trading period so you can track price behavior relative to volatility bands. • 🟩🟪 Dual color system for upper/lower zones + descriptive labels - zero confusion on market extension. • 🧼 Clean overlay display: zones + open line = actionable, minimal, fast volatility assessment. • ⭐ Apply to your M15/M30/H1/H4 TradingView chart — your volatility roadmap for Gold, FX, Crypto, Indices. • 🚀 Use for exit planning & take-profit levels at overbought/oversold extremes — NOT for standalone entry signals. • 📦 Enable/Disable individual zone levels (±0.5, ±0.75, ±1.0, ±1.25) to customize your chart view. • 📦 Too cluttered? Adjust "Periods to Show" or increase zone thickness % from settings. • 🎯 How to use this? Monitor price behavior at overbought/oversold zones for potential reversals or continuations. Use Max Overbought/Oversold levels for aggressive profit-taking. Combine with your entry system for complete trade management. • ⚠️ IMPORTANT NOTICE: This indicator is designed to measure market volatility and identify potential exit/take-profit zones. It should NOT be used as a standalone signal for entering trades. Use it in conjunction with your trading strategy to assess overbought/oversold conditions and plan exits. NQ GBPUSD BTCUSD
Pine Script®指標
由ProjectSyndicate提供
1
RSI Exhaustion Gate (Visual Flip)An RSI-based indicator that highlights potential overbought and oversold exhaustion points with visual dots. Provides clear signals when RSI reaches extreme levels and flips, helping traders identify short-term reversal opportunities. Includes customizable colors, RSI levels, and alerts for both long and short exhaustion triggers. Detailed Description (for Publishing): RSI Exhaustion Gate (Visual Flip) is designed to help traders identify potential overbought and oversold exhaustion levels on any timeframe. Key Features: Plots RSI with standard overbought (70) and oversold (30) levels. Visually flipped exhaustion dots appear when RSI crosses into extreme zones and reverses, signaling potential trade entries. Customizable colors for overbought and oversold dots. Option to toggle visibility of RSI levels and dots. Alerts for both long and short exhaustion points, so you can set TradingView notifications. Works on any chart timeframe. This tool is intended as a visual guide for spotting RSI-based exhaustion signals and can be used in conjunction with your trading strategy for improved timing and clarity.
Pine Script®指標
由Nhmoore2010提供
Tanh Clamped Momentum Oscillator [Alpha Extract]A sophisticated momentum measurement system that combines dual EMA trend analysis with volatility-weighted pressure calculations, applying hyperbolic tangent normalization for bounded oscillator output with adaptive signal generation. Utilizing ATR-based volatility regime detection and candle pressure metrics, this indicator delivers institutional-grade momentum assessment with multi-tiered band structure and pulse-based envelope visualization. The system's tanh clamping methodology prevents extreme outliers while maintaining sensitivity to genuine momentum shifts, combined with histogram divergence detection and comprehensive alert framework for high-probability reversal and continuation signals. 🔶 Advanced Dual-Component Momentum Engine Implements hybrid calculation combining EMA trend differential with candle pressure analysis, weighted by volatility regime assessment for context-aware momentum measurement. The system calculates fast and slow EMA difference normalized by ATR, measures intrabar pressure as close-open relative to range, applies volatility-based weighting between trend and pressure components, and produces composite raw momentum capturing both directional bias and internal candle dynamics. // Core Momentum Framework EMA_Fast = ta.ema(src, Fast_Length) EMA_Slow = ta.ema(src, Slow_Length) Trend = EMA_Fast - EMA_Slow // Volatility Regime Detection ATR_Short = ta.atr(ATR_Length) ATR_Long = ta.atr(ATR_Length * 2) Vol_Ratio = ATR_Short / ATR_Long Vol_Weight = clamp((Vol_Ratio - 0.5) / 1.0, 0, 1) // Pressure Component Pressure = (close - open) / (high - low) // Composite Momentum Raw = Trend_Normalized * Vol_Weight + Pressure_Scaled * (1 - Vol_Weight) 🔶 Hyperbolic Tangent Normalization Framework Features sophisticated tanh transformation that clamps raw momentum into bounded range while preserving proportional sensitivity across varying market conditions. The system applies safe exponential calculations with input capping to prevent overflow, computes hyperbolic tangent to compress extreme values while maintaining linearity near zero, and scales output by configurable factor creating oscillator with enhanced dynamic range and reduced outlier distortion. // Tanh Clamping Logic tanh(x) => x_clamped = clamp(x, -5.0, 5.0) e = exp(2.0 * x_clamped) (e - 1.0) / (e + 1.0) Oscillator = tanh(Smoothed_Momentum / Clamp_Factor) * Scale 🔶 Volatility Regime Weighting System Implements intelligent volatility assessment comparing short-term and long-term ATR to determine market regime, dynamically adjusting weight between trend and pressure components. The system calculates ATR ratio, normalizes to 0-1 range, and uses this weight factor to emphasize trend component during high-volatility regimes and pressure component during low-volatility consolidations, creating adaptive momentum sensitive to market microstructure. 🔶 Multi-Tiered Band Architecture Provides comprehensive threshold structure with soft, hard, and maximum bands marking progressive momentum extremes for graduated overbought/oversold assessment. The system establishes configurable levels at soft zones (initial caution), hard zones (strong extreme), and maximum zones (critical overextension) with visual differentiation through line styles and background highlighting, enabling nuanced interpretation beyond binary extreme detection. 🔶 Pulse Envelope Visualization Features dynamic envelope bands calculated from exponential moving average of absolute oscillator value, creating adaptive boundary that expands during momentum acceleration and contracts during deceleration. The system applies configurable length and width multiplier to pulse calculation, fills area between positive and negative pulse bounds with gradient coloring matching oscillator direction, providing visual context for momentum magnitude relative to recent activity. 🔶 Signal Line Integration Framework Implements dual-mode signal line supporting both EMA and SMA smoothing of primary oscillator for crossover-based swing detection. The system calculates configurable-length moving average, generates histogram differential between oscillator and signal, applies additional smoothing to histogram for noise reduction, and uses crossovers/crossunders as momentum swing indicators distinguishing bullish and bearish momentum shifts. 🔶 Histogram Divergence Display Creates column-style histogram visualization showing oscillator-signal differential with intensity-based coloring reflecting momentum acceleration or deceleration. The system plots histogram bars in bright colors when expanding (accelerating momentum) and faded colors when contracting (decelerating momentum), enabling instant visual identification of momentum divergences and convergences without numerical analysis. 🔶 Advanced Reversion Signal Logic Generates overbought/oversold signals requiring both signal line crossover and extreme threshold breach for high-conviction reversal identification. The system triggers oversold when oscillator crosses above signal while below negative reversion level, triggers overbought when crossing below signal while above positive reversion level, and plots small circle markers at signal locations for clear visual confirmation of setup conditions. 🔶 Comprehensive Alert Framework Provides six distinct alert conditions covering overbought/oversold reversions, midline trend changes, and oscillator-signal swings with configurable notification preferences. The system includes alerts for extreme reversions (OB/OS), zero-line crossovers (trend changes), and signal line crossovers (momentum swings), enabling traders to monitor critical oscillator events across multiple signal types without constant chart observation. 🔶 Adaptive Bar Coloring System Implements four coloring modes including midline cross (trend direction), extremities (threshold breach), reversions (OB/OS signals), and slope (oscillator vs signal) for customizable visual integration. The system applies selected color scheme to candles providing chart-level momentum feedback, with option to disable coloring for minimal visual interference while maintaining oscillator pane analysis. 🔶 Performance Optimization Architecture Utilizes efficient tanh calculation with safe clamping, streamlined EMA computations, and optimized ATR ratio processing for smooth real-time updates. The system includes intelligent null handling, minimal recalculation overhead through smart smoothing application, and configurable display toggles allowing users to disable unused visual elements for enhanced performance during extended historical analysis. 🔶 Why Choose Tanh-Clamped Momentum Oscillator ? This indicator delivers sophisticated momentum analysis through hybrid trend-pressure calculation with volatility-adaptive weighting and hyperbolic tangent normalization. Unlike traditional momentum oscillators susceptible to extreme outlier distortion, the tanh clamping ensures bounded output while preserving sensitivity to genuine momentum shifts. The system's dual-component architecture combining directional trend with intrabar pressure, weighted by volatility regime assessment, creates context-aware momentum measurement that adapts to market microstructure. The multi-tiered band structure, pulse envelope visualization, and comprehensive signal framework make it essential for traders seeking nuanced momentum analysis with graduated extreme detection and high-probability reversal signals across cryptocurrency, forex, and equity markets.
Pine Script®指標
由AlphaExtract提供
Smart RSI Candles [DotGain]Smart RSI Candles – Description Smart RSI Candles is a minimalist yet powerful overlay indicator that visualizes RSI conditions directly on price candles. Instead of plotting a separate RSI oscillator, this tool colors the chart bars based on customizable RSI threshold levels, allowing traders to instantly identify overbought and oversold regimes within the price action itself. The indicator is built on the classic Wilder RSI and supports up to three upper (overbought) and three lower (oversold) levels. Each level can be individually enabled or disabled, making the indicator fully modular and adaptable to different trading styles and market conditions. Key Features RSI-based candle coloring (no separate panel required) Up to 6 customizable RSI levels Individual On/Off toggle for each level Extreme conditions highlighted in blue Works on any market and timeframe Clean, non-intrusive visual design Color Logic Overbought (Upper Levels) Level 1: Light green → mild overbought Level 2: Dark green → strong overbought Level 3: Blue → extreme overbought Oversold (Lower Levels) Level 1: Light red → mild oversold Level 2: Dark red → strong oversold Level 3: Blue → extreme oversold Neutral RSI values keep the original candle color. How to Use Use upper levels to identify potential exhaustion in bullish moves. Use lower levels to spot potential panic or capitulation zones. Combine with trend analysis, support/resistance, or volume for confirmations. Disable specific levels to create conservative or aggressive RSI regimes. Use Cases Mean reversion strategies Momentum exhaustion detection Visual risk regime mapping Multi-timeframe RSI context Smart RSI Candles is designed for traders who want RSI information integrated directly into price, without clutter — fast, intuitive, and highly customizable. Have fun :) Disclaimer This Smart RSI Candles indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. This indicator is an independent implementation of a Relative Strength Index (RSI) based visualization tool and is not affiliated with, or endorsed by, any third-party trading systems, strategies, or trademarked methodologies. The colored candles displayed by this indicator are generated by a predefined set of algorithmic conditions based on RSI threshold levels. They do not constitute a direct recommendation to buy or sell any financial instrument. All trading and investing in financial markets involves a substantial risk of loss. You may lose part or all of your invested capital. Past performance does not guarantee future results. This indicator highlights potential overbought and oversold market conditions and may produce false, lagging, or misleading signals. Market conditions can change rapidly and remain irrational longer than expected. The creator DotGain assumes no responsibility or liability for any financial losses, damages, or decisions made based on the use of this indicator or the information it provides.You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR), use proper risk management, validate signals with additional tools or analysis, and consider your personal financial situation and risk tolerance before entering any trade.
Pine Script®指標
由DotGain提供
Unreached Highs/Lows Oscillator [LuxAlgo]The Unreached Highs/Lows Oscillator highlights the amount of unreached high/low prices as a percentage over time, helping visualize trend strength and momentum from bullish and bearish market participants. 🔶 USAGE This indicator measures the strength of directional price movements, helping traders visualize the strength of both the bullish and bearish market participants. When prices are moving up with strength, the price structure will not come back to retest previous lows. Therefore, unreached lows keep adding up. When prices are moving down with strength, they will not retest previous highs; therefore, unreached highs keep adding up. As we can see on the chart, high readings of unreached highs (red) and low readings of unreached lows (green) are considered bearish, and a downtrend in price confirms this bias. Conversely, high readings of unreached lows and low readings of unreached highs are considered bullish. On the chart, this is reflected as an uptrend. Additionally, the oscillator can reveal significant breakouts on the chart, with unreached highs or lows decreasing rapidly indicating that a large number of highs/lows have been reached. Due to the oscillator being normalized, overbought and oversold levels are included. In this gold chart, we have different examples of how to use the tool in conjunction with price behavior to understand the market. Let's dissect it step by step: 1. Uptrend: Bullish readings are above 80, and bearish readings are below 20. The market is trending up. 2. Range: Mixed readings around 50 for both bullish and bearish; the market is ranging. 3. Uptrend: The same as before. Bullish above 80 and bearish below 20. 4. Pullback: A bullish dip below 80 to 50 and a bearish reading below 20 indicates a pullback. 5. Range: Mixed readings. In this case, it is bullish above and below 80 and bearish above and below 20. The market is ranging. 6. Uptrend: Bullish above 80 and bearish below 20; the market keeps moving up. 7. Pullback: Bullish dips below 80 and bearish rises to 50 indicate a pullback. 8. Uptrend: As before, bullish is above 80 and bearish is below 20; the market is trending up. This Bitcoin chart shows how to use extreme readings of 0 and 100 to detect potential reversals. When both readings are at extreme opposites, we set the threshold level at 100 and 0 instead of the default levels of 80 and 20 to better identify these areas. As we can see, extreme readings at points 1 and 5 identify major reversals that lead to a change in trend. Extreme readings at points 2, 3, 4, and 6 identify minor reversals that do not lead to a change in trend. From the settings panel, traders can adjust the length parameter. A smaller value measures smaller price movements, while a larger value measures larger price movements. A length value of 20 is used by default. The chart shows how different values affect bullish and bearish measures. 🔶 SETTINGS Length: Select the maximum number of highs and lows to be used. 🔹 Style Bullish: Select a color for unreached lows. Bearish: Select a color for unreached highs. Top Threshold: Select the top threshold level and color. Enable the Auto feature to choose the default color. Bottom Threshold: Select the bottom threshold level and color. Enable the Auto feature to choose the default color.
Pine Script®指標
由LuxAlgo提供
5
Adaptive RSI [BOSWaves]Adaptive RSI - Percentile-Based Momentum Detection with Dynamic Regime Thresholds Overview Adaptive RSI is a self-calibrating momentum oscillator that identifies overbought and oversold conditions through historical percentile analysis, constructing dynamic threshold boundaries that adjust to evolving market volatility and momentum characteristics. Instead of relying on traditional fixed RSI levels (30/70 or 20/80) or static overbought/oversold zones, regime detection, threshold placement, and signal generation are determined through rolling percentile calculation, smoothed momentum measurement, and divergence pattern recognition. This creates adaptive boundaries that reflect actual momentum distribution rather than arbitrary fixed levels - tightening during low-volatility consolidation periods, widening during trending environments, and incorporating divergence analysis to reveal momentum exhaustion or continuation patterns. Momentum is therefore evaluated relative to its own historical context rather than universal fixed thresholds. Conceptual Framework Adaptive RSI is founded on the principle that meaningful momentum extremes emerge relative to recent price behavior rather than at predetermined numerical levels. Traditional RSI implementations identify overbought and oversold conditions using fixed thresholds that remain constant regardless of market regime, often generating premature signals in strong trends or missing reversals in range-bound markets. This framework replaces static threshold logic with percentile-driven adaptive boundaries informed by actual momentum distribution. Three core principles guide the design: Threshold placement should correspond to historical momentum percentiles, not fixed numerical levels. Regime detection must adapt to current market volatility and momentum characteristics. Divergence patterns reveal momentum exhaustion before price reversal becomes visible. This shifts oscillator analysis from universal fixed levels into adaptive, context-aware regime boundaries. Theoretical Foundation The indicator combines smoothed RSI calculation, rolling percentile tracking, adaptive threshold construction, and multi-pattern divergence detection. A Hull Moving Average (HMA) pre-smooths the price source to reduce noise before RSI computation, which then undergoes optional post-smoothing using configurable moving average types. Confirmed oscillator values populate a rolling historical buffer used for percentile calculation, establishing upper and lower thresholds that adapt to recent momentum distribution. Regime state persists until the oscillator crosses the opposing threshold, preventing whipsaw during consolidation. Pivot detection identifies swing highs and lows in both price and oscillator values, enabling regular divergence pattern recognition through comparative analysis. Five internal systems operate in tandem: Smoothed Momentum Engine : Computes HMA-preprocessed RSI with optional post-smoothing using multiple MA methodologies (SMA, EMA, HMA, WMA, DEMA, RMA, LINREG, TEMA). Historical Buffer Management : Maintains a rolling array of confirmed oscillator values for percentile calculation with configurable lookback depth. Percentile Threshold Calculation : Determines upper and lower boundaries by extracting specified percentile values from sorted historical distribution. Persistent Regime Detection : Establishes bullish/bearish/neutral states based on threshold crossings with state persistence between signals. Divergence Pattern Recognition : Identifies regular bullish and bearish divergences through synchronized pivot analysis of price and oscillator values with configurable range filtering. This design allows momentum interpretation to adapt to market conditions rather than reacting mechanically to universal thresholds. How It Works Adaptive RSI evaluates momentum through a sequence of self-calibrating processes: Source Pre-Smoothing: Input price undergoes 4-period HMA smoothing to reduce bar-to-bar noise before oscillator calculation. RSI Calculation: Standard RSI computation applied to smoothed source over configurable length period. Optional Post-Smoothing: Raw RSI value undergoes additional smoothing using selected MA type and length for cleaner regime detection. Historical Buffer Population: Confirmed oscillator values accumulate in a rolling array with size limit determined by adaptive lookback parameter. Percentile Threshold Extraction: Array sorts on each bar to calculate upper percentile (bullish threshold) and lower percentile (bearish threshold) values. Regime State Persistence: Bullish regime activates when oscillator crosses above upper threshold, bearish regime activates when crossing below lower threshold, neutral regime persists until directional threshold breach. Pivot Identification: Swing highs and lows detected in both oscillator and price using configurable left/right parameters. Divergence Pattern Matching: Compares pivot relationships between price and oscillator within min/max bar distance constraints to identify regular bullish (price LL, oscillator HL) and bearish (price HH, oscillator LH) divergences. Together, these elements form a continuously updating momentum framework anchored in statistical context. Interpretation Adaptive RSI should be interpreted as context-aware momentum boundaries: Bullish Regime (Blue): Activated when oscillator crosses above upper percentile threshold, indicating momentum strength relative to recent distribution favors upside continuation. Bearish Regime (Red): Established when oscillator crosses below lower percentile threshold, identifying momentum weakness relative to recent distribution favors downside continuation. Upper Threshold Line (Blue)**: Dynamic resistance level calculated from upper percentile of historical oscillator distribution - adapts higher during trending markets, lower during ranging conditions. Lower Threshold Line (Red): Dynamic support level calculated from lower percentile of historical oscillator distribution - adapts lower during downtrends, higher during consolidation. Regime Fill: Gradient coloring between oscillator and baseline (50) visualizes current momentum intensity - stronger color indicates greater distance from neutral. Extreme Bands (15/85): Upper and lower extreme zones with strength-modulated transparency reveal momentum extremity - darker shading during powerful moves, lighter during moderate momentum. Divergence Lines: Connect price and oscillator pivots when divergence pattern detected, appearing on both price chart and oscillator pane for confluence identification. Reversal Markers (✦): Diamond signals appear at 80+ (bearish extreme) and sub-15 (bullish extreme) levels, marking potential exhaustion zones independent of regime state. Percentile context, divergence confirmation, and regime persistence outweigh isolated oscillator readings. Signal Logic & Visual Cues Adaptive RSI presents four primary interaction signals: Regime Switch - Long : Oscillator crosses above upper percentile threshold after previously being in bearish or neutral regime, suggesting momentum strength shift favoring bullish continuation. Regime Switch - Short : Oscillator crosses below lower percentile threshold after previously being in bullish or neutral regime, indicating momentum weakness shift favoring bearish continuation. Regular Bullish Divergence (𝐁𝐮𝐥𝐥) : Price forms lower low while oscillator forms higher low, revealing positive momentum divergence during downtrends - often precedes reversal or consolidation. Regular Bearish Divergence (𝐁𝐞𝐚𝐫) : Price forms higher high while oscillator forms lower high, revealing negative momentum divergence during uptrends - often precedes reversal or correction. Alert generation covers regime switches, threshold crossings, and divergence detection for systematic monitoring. Strategy Integration Adaptive RSI fits within momentum-informed and mean-reversion trading approaches: Adaptive Regime Following : Use threshold crossings as primary trend inception signals where momentum confirms directional breakouts within statistical context. Divergence-Based Reversals : Enter counter-trend positions when divergence patterns appear at extreme oscillator levels (above 80 or below 20) for high-probability mean-reversion setups. Threshold-Aware Scaling : Recognize that tighter percentile spreads (e.g., 45/50) generate more signals suitable for ranging markets, while wider spreads (e.g., 30/70) filter for stronger trend confirmation. Extreme Zone Confluence : Combine reversal markers (✦) with divergence signals for maximum-conviction exhaustion entries. Multi-Timeframe Regime Alignment : Apply higher-timeframe regime context to filter lower-timeframe entries, taking only setups aligned with dominant momentum direction. Smoothing Optimization : Increase smoothing length in choppy markets to reduce false signals, decrease in trending markets for faster response. Technical Implementation Details Core Engine : HMA-preprocessed RSI with configurable smoothing (SMA, HMA, EMA, WMA, DEMA, RMA, LINREG, TEMA) Adaptive Model : Rolling percentile calculation over confirmed oscillator values with size-limited historical buffer Threshold Construction : Linear interpolation percentile extraction from sorted distribution array Regime Detection : State-persistent threshold crossing logic with confirmed bar validation Divergence Engine : Pivot-based pattern matching with range filtering and duplicate prevention Visualization : Gradient-filled regime zones, adaptive threshold lines, strength-modulated extreme bands, dual-pane divergence lines Performance Profile : Optimized for real-time execution with efficient array management and minimal computational overhead Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Micro-structure momentum detection for scalping and intraday reversals 15 - 60 min : Intraday regime identification with divergence-validated turning points 4H - Daily : Swing and position-level momentum analysis with macro divergence context Suggested Baseline Configuration: RSI Length : 18 Source : Close Smooth Oscillator : Enabled Smoothing Length : 20 Smoothing Type : SMA Adaptive Lookback : 1000 Upper Percentile : 50 Lower Percentile : 45 Divergence Pivot Left : 15 Divergence Pivot Right : 15 Min Pivot Distance : 5 Max Pivot Distance : 60 These suggested parameters should be used as a baseline; their effectiveness depends on the asset's volatility profile, momentum characteristics, and preferred signal frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Too many whipsaw signals : Widen percentile spread (e.g., 40/60 instead of 45/50) to demand stronger momentum confirmation, or increase "Smoothing Length" to filter noise. Missing legitimate regime changes : Tighten percentile spread (e.g., 48/52 instead of 45/50) for earlier detection, or decrease "Smoothing Length" for faster response. Oscillator too choppy : Increase "Smoothing Length" for cleaner readings, or switch "Smoothing Type" to RMA/TEMA for heavier smoothing. Thresholds not adapting properly : Reduce "Adaptive Lookback" to emphasize recent behavior (500-800 bars), or increase it for more stable thresholds (1500-2000 bars). Too many divergence signals : Increase "Pivot Left/Right" values to demand stronger swing confirmation, or widen "Min Pivot Distance" to space out detections. Missing significant divergences : Decrease "Pivot Left/Right" for faster pivot detection, or increase "Max Pivot Distance" to compare more distant swings. Prefer different momentum sensitivity : Adjust "RSI Length" - lower values (10-14) for aggressive response, higher values (21-28) for smoother trend confirmation. Divergences appearing too late : Reduce "Pivot Right" parameter to detect divergences closer to current price action. Adjustments should be incremental and evaluated across multiple session types rather than isolated market conditions. Performance Characteristics High Effectiveness: Markets with mean-reverting characteristics and consistent momentum cycles Instruments where momentum extremes reliably precede reversals or consolidations Ranging environments where percentile-based thresholds adapt to volatility contraction Divergence-driven strategies targeting momentum exhaustion before price confirmation Reduced Effectiveness: Extremely strong trending markets where oscillator remains persistently extreme Low-liquidity environments with erratic momentum readings News-driven or gapped markets where momentum disconnects from price temporarily Markets with regime shifts faster than adaptive lookback can recalibrate Integration Guidelines Confluence : Combine with BOSWaves structure, volume analysis, or traditional support/resistance Threshold Respect : Trust signals that occur after clean threshold crossings with sustained momentum Divergence Context : Prioritize divergences appearing at extreme oscillator levels (80+/15-) over those in neutral zones Regime Awareness : Consider whether current market regime matches historical momentum patterns used for calibration Multi-Pattern Confirmation : Seek divergence patterns coinciding with reversal markers or threshold rejections for maximum conviction Disclaimer Adaptive RSI is a professional-grade momentum and divergence analysis tool. It uses percentile-based threshold calculation that adapts to recent market behavior but cannot predict future regime shifts or guarantee reversal timing. Results depend on market conditions, parameter selection, lookback period appropriateness, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates price structure, volume context, and comprehensive risk management.
Pine Script®指標
由BOSWaves提供
1
Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD) [DotGain]Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD) This indicator combines three proven market stress and mean-reversion components to identify potential buy and sell opportunities during extended market conditions. ──────────────────── 📌 Included Components 1️⃣ Volatility-Based Stress Filter (Vix Fix) Detects short-term market panic using relative price movement. Signals are generated only during periods of elevated volatility or market stress. 2️⃣ Moving Average Deviation (MA Deviation) Identifies overbought and oversold conditions based on the percentage deviation from a selected moving average. Supported MA types: • EMA • SMA • RMA • VWMA • WMA • TEMA 3️⃣ TRMAD (True Range Mean Absolute Deviation) Measures the distance of price from its mean relative to current volatility. Useful for filtering extreme price moves and reducing false signals. ──────────────────── 📈 Trading Signals Buy Signal: • Elevated market volatility • Price significantly below the moving average • TRMAD below the defined threshold Sell Signal: • Elevated market volatility • Price significantly above the moving average • TRMAD above the defined threshold Signals are visualized directly on the chart: • Buy: green label below the candle • Sell: red label above the candle ──────────────────── ⚙️ Settings & Customization All components are fully adjustable: • Lookback periods • Moving average types and lengths • Volatility and threshold levels This makes the indicator suitable for: • Intraday trading • Swing trading • Crypto, Forex, indices, and equities ──────────────────── Disclaimer This "Dip Buy/Sell Signals (Vix Fix + MA Deviation + TRMAD)" (DipSig) indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signals generated by this tool (both "Buy" and "Sell") are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Pine Script®指標
由DotGain提供
BBands + Overbought/Oversold MarkersAdvanced Bollinger Bands indicator with overbought/oversold signals, automatic squeeze detection, and multi-timeframe (MTF) capabilities. Retains all functions of the original Bollinger Bands indicator from TradingView with a few added features: Overbought/Oversold Markers: Visual signals when price opens and closes outside the bands 🔴 Red Highlight & Arrow → Price opens & closes above the upper BB (potential overbought/excess momentum). 🟢 Green Highlight & Arrow → Price opens & closes below the lower BB (potential oversold/reversal). Squeeze Detection: Automatically highlights when bandwidth reaches its lowest point (narrowest BB width) in the lookback period, signalling potential breakout zones Multi-Timeframe Bands: Display Bollinger Bands from any timeframe on your current chart (e.g., weekly bands on a daily chart), including markers and squeeze zones Dual Rendering MTF Modes: Choose between traditional plots (unlimited history) or smooth line drawing (~125-165 MTF bars of history) Built-in Alerts: Set alerts for overbought conditions, oversold conditions, squeeze detection, or any combination Fully Customizable: Adjust MA type (SMA/EMA/RMA/WMA/VWMA), standard deviation multiplier, colors, and marker styles Perfect for: Swing traders, MTF analysis, volatility-based entries, and identifying consolidation/expansion cycles.
Pine Script®指標
由CryptoPl3be提供
SCOTTGO - RSI Divergence IndicatorRSI Divergence Indicator This indicator combines the Relative Strength Index (RSI) with an automatic divergence detection system. It is designed to help traders spot potential trend changes by: Color-Coded RSI: The main RSI line dynamically changes color (e.g., green/red) above and below a user-defined threshold (default 50) to highlight strong or weak momentum instantly. Divergence Signals: It automatically identifies and plots four types of RSI divergences (Regular Bullish, Hidden Bullish, Regular Bearish, and Hidden Bearish) between the price and the oscillator. Custom Alerts: Includes alerts for all divergence types so you can be notified when a new signal is found. This tool helps visualize momentum shifts and potential reversals in the market.
Pine Script®指標
由SCOTTGO提供
RSI Multi Levels kiawosch [TradingFinder] 7-14-42 Consolidation🔵 Introduction The Relative Strength Index or RSI is a tool used to measure the speed and intensity of price movement, oscillating between zero and one hundred. It is commonly applied to identify strength or weakness in market momentum across different time intervals. Despite its simple formula and wide usage, the behavior of RSI within specific ranges often provides more precise information than traditional overbought and oversold levels. The Multi RSI layout displays three RSI values with periods 7, 14 and 42. The seven period RSI plays the primary role in short term analysis. When this value enters predefined ranges, it shows highly consistent and interpretable behavior that can signal trend continuation, corrections or the start of a range structure. The other two values, RSI 14 and RSI 42, help reveal higher timeframe momentum and provide context for the depth and quality of price movement. Three potential zones are defined, each representing a behavioral range. The position zones forms the basis for signal interpretation : High Potential : 78 to 85 & 22 to 15 Mid Potential : 70 to 78 & 30 to 22 Low Potential : 58 to 62 & 42 to 38 These zones highlight areas where RSI reacts in specific ways to price movement. Entering the High Potential range usually aligns with new highs or lows in price and often precedes continuation after a correction. In contrast, reactions inside the Mid Potential range frequently appear during clean ranges or channel structures. This approach focuses on momentum quality and structural behavior rather than classic overbought and oversold thresholds. In summary, the logic behind the signals follows three principles : Trend continuation, When RSI 7 enters the High Potential zone and price prints a new high or low, continuation after a correction becomes the most likely outcome. Reversal or slowdown, When RSI exits the High Potential zone while price is reaching a previous high or low, the probability of a short term reversal increases. Range behavior, In clean ranges or channel structures, RSI 7 typically reacts inside the Mid Potential zone and produces consistent swing responses. 🔵 How to Use This method is based on observing the repeating behavior of RSI within momentum zones and identifying moments when price continues after a shallow correction or, conversely, when signs of slowing and reversal appear. RSI 7 plays the main role since it gives the most sensitive response to short term price changes. Its entry into or exit from a potential zone, combined with the position of price relative to recent highs and lows, forms the core of the signal logic. RSI 14 and RSI 42 provide higher timeframe confirmation and help evaluate the broader strength or weakness behind each movement. 🟣 Trend continuation after entering the High Potential zone When RSI 7 reaches the High Potential zone while price forms a new high or low, the probability of continuation becomes very high. The typical sequence includes a short correction in price and a retreat of RSI toward the Mid Potential zone. As long as price structure remains intact and RSI turns upward again, continuation becomes the most likely scenario. As shown in the charts, price often expands strongly after this type of correction and breaks the previous high. 🟣 Reversal or slowdown after exiting the High Potential zone If RSI 7 enters the High Potential zone but then exits while price is interacting with a previous high or low, conditions for a short term reversal appear. This behavior is clear in the charts, where price hits a supply or demand area and RSI can no longer return to the upper zone. The drop in RSI reflects weakening momentum and, when accompanied by a confirming candle, increases the chance of a reversal or at least a temporary pause. 🟣 Strong reversal after hitting the Mid Potential zone during deeper corrections Sometimes price enters a deeper corrective phase and RSI 7 moves into or through the Mid Potential zone. When this occurs near a previous low, it can mark the start of a significant reversal. The charts show this pattern clearly, where RSI turns upward while price reacts to support. If the other RSI values show relative alignment, the probability of a strong rebound increases. This signal is often seen after fast declines and can mark the beginning of a recovery wave. 🟣 Range structure and repetitive reactions inside the Mid Potential zone When price enters a clean range or channel, the behavior of RSI 7 changes completely. In such conditions, RSI repeatedly reacts inside the Mid Potential zone. Each time price touches the upper or lower boundary of the range, RSI approaches the upper or lower part of this zone as well. The result is a sequence of predictable swing reactions, perfectly suitable for mean reversion strategies. Breakouts in these environments also tend to show higher failure rates. 🟣 Sharp reactions and fast reversals at extreme levels (RSI near 90 or below 10) Although this approach is not based on classic overbought and oversold logic, extremely high or low RSI readings such as ninety often produce strong immediate reactions in price. These conditions usually occur after sudden spikes or emotional breakouts. As visible in the charts, RSI collapses quickly after reaching such extremes and price often reverses sharply. While not a core signal, these moments add meaningful context to momentum interpretation. 🔵 Settings RSI Setting : This section allows enabling or disabling the three RSI values, adjusting their calculation length and customizing their colors. It is designed to help separate short, medium and longer term momentum visually on the chart. Zones Setting : This section controls the display of momentum zones and the color applied to each area. Adjusting these colors or toggling them on and off helps the trader visually track the intensity and structure of momentum. Levels Setting : This section allows editing the numeric boundaries of the levels or showing and hiding each one individually. These levels form the visual framework for interpreting RSI behavior within the defined momentum zones. 🔵 Conclusion Examining RSI behavior across different momentum zones shows that entering these ranges creates relatively consistent patterns in price movement. Reaching the High Potential zone often corresponds to later stages of a trend, where price has the strength to continue after a brief correction and structure remains intact. In contrast, reactions within the Mid Potential zone occur more frequently when the market transitions into a range or a limited movement phase, where repetitive oscillations dominate. Overall, observing RSI inside these zones helps distinguish between trending movement, corrective phases and range conditions with greater clarity. Entry or exit from each zone provides insight into the underlying strength or weakness of momentum and reveals where the market is positioned within its movement cycle. This perspective, based on momentum regions rather than traditional values alone, offers a more refined understanding of price behavior and highlights the likely direction of the next move.
Pine Script®指標
由TFlab提供
7
Trend Step Channel [BigBeluga]🔵 OVERVIEW Trend Step Channel identifies directional bias by forming a dynamic volatility-based step channel. It detects trend shifts when candle lows close above the upper band (bullish) or when candle highs drop below the lower band (bearish). A step-style midline tracks the trend evolution, while an integrated dashboard shows price positioning percentages across multiple timeframes. 🔵 CONCEPTS ATR-Based Channel — The indicator constructs upper and lower channel boundaries using ATR distance around a single adaptive trend line, providing automatic scaling with volatility. Trend Direction Logic — • Low above upper band → uptrend confirmation. • High below lower band → downtrend confirmation. Step Trend Line — A reactive midline that locks onto price swings, stepping upward or downward as new trend confirmations occur. Channel Width — Defines the total volatility range around the midline; a wider channel smooths market noise, while a narrower one reacts faster. Price Position Ratio — Calculates the relative position of the close within the channel, from 0% (bottom) to 100% (top). 🔵 FEATURES Volatility-Adaptive Channel — Expands and contracts dynamically to match market volatility, maintaining consistent distance scaling. Configurable MA Source — Choose from SMA, EMA, SMMA, WMA, or VWMA as the base smoothing method. Color-Coded Step Line — • Green indicates an uptrend. • Orange indicates a downtrend. Channel Fill Visualization — Semi-transparent fills highlight active volatility zones for clear trend identification. Price Position Label — Displays a “<” marker and percentage at the channel edge showing how far the current close is from the lower or upper band. Multi-Timeframe Dashboard — • Displays alignment across 1H–5H charts. • Each cell shows an arrow (↑ / ↓) with price % positioning. • Cell background color reflects bullish or bearish bias. Real-Time Updating — The channel, midline, and dashboard refresh dynamically every bar for continuous feedback. 🔵 HOW TO USE Trend Confirmation — • Bullish trend forms when candle low closes above the upper band. • Bearish trend forms when candle high closes below the lower band. Trend Continuation — Maintain bias while the step line color remains consistent. Volatility Breakouts — Sudden candle breaks outside the band suggest new directional strength. Dashboard Alignment — Confirm trend consistency across multiple timeframes before entering trades. Entry Planning — In uptrends, consider entries near the lower band; in downtrends, focus on upper-band rejections. Price Position Insight — Use the % label to judge whether price is extended (near 100%) or compressed (near 0%) within the channel. 🔵 CONCLUSION Trend Step Channel delivers a precise, volatility-driven view of trend structure using ATR-based boundaries and a step-line framework. The integrated dashboard, color-coded channel, and live positioning metrics give traders a complete picture of market direction, trend strength, and price location within evolving conditions.
Pine Script®指標
由BigBeluga提供
10
Smart RSI MTF [DotGain]Summary Are you tired of constantly switching between timeframes to check the RSI, only to miss the bigger picture? The Smart RSI MTF (Multi-Timeframe) is designed to solve this exact problem. It is a streamlined chart overlay that monitors RSI conditions across up to 10 different timeframes simultaneously —from the 1-minute chart all the way up to the Monthly view. This indicator removes the need for multiple open tabs and declutters your analysis by plotting signals directly on your main chart using a smart "visual hierarchy" system based on transparency. ⚙️ Core Components and Logic The Smart RSI MTF relies on a sophisticated 3-layer logic to deliver clear, actionable context: Multi-Timeframe Engine: The script runs 10 independent RSI calculations in the background. It checks standard intervals (5m, 15m, 1h, 4h, Daily, Weekly, Monthly) to ensure you never miss a momentum extreme on any scale. Classic RSI Thresholds: Overbought (> 70): Indicates price may be extended to the upside. Oversold (< 30): Indicates price may be extended to the downside. Smart Visibility System (The "Secret Sauce"): Not all signals are equal. A 5-minute Overbought signal is "noise" compared to a Weekly Overbought signal. This indicator automatically applies Transparency to differentiate importance: Minutes = High Transparency (Faint). Hours = Medium Transparency. Days/Weeks/Months = No Transparency (Solid/Bold). 🚦 How to Read the Indicator The indicator plots shapes (Labels by default) directly above or below the candles. The appearance tells you the direction and the timeframe significance: 🟥 RED SIGNALS (Overbought Condition) Trigger: RSI is above 70 on a specific timeframe. Location: Placed above the candle bar. Meaning: Potential bearish reversal or pullback. 🟩 GREEN SIGNALS (Oversold Condition) Trigger: RSI is below 30 on a specific timeframe. Location: Placed below the candle bar. Meaning: Potential bullish reversal or bounce. 👻 TRANSPARENCY (Signal Strength) Faint/Ghostly: The signal comes from a lower timeframe (e.g., 5m, 15m). Use for scalping or entry timing. Solid/Bright: The signal comes from a major timeframe (e.g., Daily, Weekly). Use for swing trading and identifying major market turns. Visual Elements Symbol Shapes: Fully customizable (Label, Diamond, Circle, Triangle, etc.) via settings. Stacking: If multiple timeframes trigger at once, symbols will overlay, creating a visually denser and darker color, indicating Confluence . Key Benefit The goal of the Smart RSI MTF is to help traders instantly spot Confluence . When you see a faint short-term signal align with a solid long-term signal, you have identified a high-probability reversal zone without leaving your chart. Have fun :) Disclaimer This "Smart RSI MTF" indicator is provided for informational and educational purposes only. It does not, and should not be construed as, financial, investment, or trading advice. The signals generated by this tool (both "Buy" and "Sell" indications) are the result of a specific set of algorithmic conditions. They are not a direct recommendation to buy or sell any asset. All trading and investing in financial markets involves substantial risk of loss. You can lose all of your invested capital. Past performance is not indicative of future results. The signals generated may produce false or losing trades. The creator (© DotGain) assumes no liability for any financial losses or damages you may incur as a result of using this indicator. You are solely responsible for your own trading and investment decisions. Always conduct your own research (DYOR) and consider your personal risk tolerance before making any trades.
Pine Script®指標
由DotGain提供
Stochastic Pro+ Suite📚 What Is the Stochastic Oscillator? The stochastic oscillator is a momentum indicator comparing a security's closing price to its price range over a set number of periods. The %K line represents the raw stochastic value, while the %D line is a smoothed moving average of %K. Stochastic helps identify: Overbought and oversold conditions Bullish and bearish crossovers Momentum shifts before price reversals It is widely used in both trending and ranging markets. 💡 What Makes This Suite Different? This script supercharges the traditional stochastic with a multi-timeframe engine , divergence detection , and a highly customizable visual suite , including: ✅ Core Features: - Multi-Timeframe (%K, %D, Spread): Pulls stochastic data from any higher timeframe for improved signal quality. - Custom Overbought/Oversold Levels: Fully adjustable OB/OS thresholds (default: 80/20). - %K-%D Spread Histogram: View the difference between %K and %D visually as a histogram. - Color-coded Cross Highlights: Optional background shading for key crossover events in OB/OS zones (high probability reversal areas). 🔍 Divergence Detection (Optional): - Bullish Divergence: Price makes lower lows while %K makes higher lows. - Bearish Divergence: Price makes higher highs while %K makes lower highs. - Customizable pivot lookbacks and range filters to control divergence strictness. - Visual divergence labels plotted directly on the oscillator. 🎛️ Fully Toggleable Visuals: Show/hide %K, %D, OB/OS lines, spread histogram, background highlight, and divergence — all via simple checkboxes. 🔔 Alerts: Set alerts for both bullish and bearish divergences — ideal for swing, day, or trend reversal strategies. ⚙️ Use Cases - Spot exhaustion in overbought/oversold zones - Confirm or filter entries with divergence signals - Monitor multiple timeframes without switching charts - Use as a signal tool in confluence with price action or volume indicators ⚠️ Disclaimer This tool is for educational and informational purposes only. It does not constitute financial advice, trading advice, or investment guidance. Always do your own research and consult a qualified financial advisor before making trading decisions.
Pine Script®指標
由RWCS_LTD提供
Mean Reversion Oscillator [Alpha Extract]An advanced composite oscillator system specifically designed to identify extreme market conditions and high-probability mean reversion opportunities, combining five proven oscillators into a single, powerful analytical framework. By integrating multiple momentum and volume-based indicators with sophisticated extreme level detection, this oscillator provides precise entry signals for contrarian trading strategies while filtering out false reversals through momentum confirmation. 🔶 Multi-Oscillator Composite Framework Utilizes a comprehensive approach that combines Bollinger %B, RSI, Stochastic, Money Flow Index, and Williams %R into a unified composite score. This multi-dimensional analysis ensures robust signal generation by capturing different aspects of market extremes and momentum shifts. // Weighted composite (equal weights) normalized_bb = bb_percent normalized_rsi = rsi normalized_stoch = stoch_d_val normalized_mfi = mfi normalized_williams = williams_r composite_raw = (normalized_bb + normalized_rsi + normalized_stoch + normalized_mfi + normalized_williams) / 5 composite = ta.sma(composite_raw, composite_smooth) 🔶 Advanced Extreme Level Detection Features a sophisticated dual-threshold system that distinguishes between moderate and extreme market conditions. This hierarchical approach allows traders to identify varying degrees of mean reversion potential, from moderate oversold/overbought conditions to extreme levels that demand immediate attention. 🔶 Momentum Confirmation System Incorporates a specialized momentum histogram that confirms mean reversion signals by analyzing the rate of change in the composite oscillator. This prevents premature entries during strong trending conditions while highlighting genuine reversal opportunities. // Oscillator momentum (rate of change) osc_momentum = ta.mom(composite, 5) histogram = osc_momentum // Momentum confirmation momentum_bullish = histogram > histogram momentum_bearish = histogram < histogram // Confirmed signals confirmed_bullish = bullish_entry and momentum_bullish confirmed_bearish = bearish_entry and momentum_bearish 🔶 Dynamic Visual Intelligence The oscillator line adapts its color intensity based on proximity to extreme levels, providing instant visual feedback about market conditions. Background shading creates clear zones that highlight when markets enter moderate or extreme territories. 🔶 Intelligent Signal Generation Generates precise entry signals only when the composite oscillator crosses extreme thresholds with momentum confirmation. This dual-confirmation approach significantly reduces false signals while maintaining sensitivity to genuine mean reversion opportunities. How It Works 🔶 Composite Score Calculation The indicator simultaneously tracks five different oscillators, each normalized to a 0-100 scale, then combines them into a smoothed composite score. This approach eliminates the noise inherent in single-oscillator analysis while capturing the consensus view of multiple momentum indicators. // Mean reversion entry signals bullish_entry = ta.crossover(composite, 100 - extreme_level) and composite < (100 - extreme_level) bearish_entry = ta.crossunder(composite, extreme_level) and composite > extreme_level // Bollinger %B calculation bb_basis = ta.sma(src, bb_length) bb_dev = bb_mult * ta.stdev(src, bb_length) bb_percent = (src - bb_lower) / (bb_upper - bb_lower) * 100 🔶 Extreme Zone Identification The system automatically identifies when markets reach statistically significant extreme levels, both moderate (65/35) and extreme (80/20). These zones represent areas where mean reversion has the highest probability of success based on historical market behavior. 🔶 Momentum Histogram Analysis A specialized momentum histogram tracks the velocity of oscillator changes, helping traders distinguish between healthy corrections and potential trend reversals. The histogram's color-coded display makes momentum shifts immediately apparent. 🔶 Divergence Detection Framework Built-in divergence analysis identifies situations where price and oscillator movements diverge, often signaling impending reversals. Diamond-shaped markers highlight these critical divergence patterns for enhanced pattern recognition. 🔶 Real-Time Information Dashboard An integrated information table provides instant access to current oscillator readings, market status, and individual component values. This dashboard eliminates the need to manually check multiple indicators while trading. 🔶 Individual Component Display Optional display of individual oscillator components allows traders to understand which specific indicators are driving the composite signal. This transparency enables more informed decision-making and deeper market analysis. 🔶 Adaptive Background Coloring Intelligent background shading automatically adjusts based on market conditions, creating visual zones that correspond to different levels of mean reversion potential. The subtle color gradations make pattern recognition effortless. 1D 3D 🔶 Comprehensive Alert System Multi-tier alert system covers confirmed entry signals, divergence patterns, and extreme level breaches. Each alert type provides specific context about the detected condition, enabling traders to respond appropriately to different signal strengths. 🔶 Customizable Threshold Management Fully adjustable extreme and moderate levels allow traders to fine-tune the indicator's sensitivity to match different market volatilities and trading timeframes. This flexibility ensures optimal performance across various market conditions. 🔶 Why Choose AE - Mean Reversion Oscillator? This indicator provides the most comprehensive approach to mean reversion trading by combining multiple proven oscillators with advanced confirmation mechanisms. By offering clear visual hierarchies for different extreme levels and requiring momentum confirmation for signals, it empowers traders to identify high-probability contrarian opportunities while avoiding false reversals. The sophisticated composite methodology ensures that signals are both statistically significant and practically actionable, making it an essential tool for traders focused on mean reversion strategies across all market conditions.
Pine Script®指標
由AlphaExtract提供
1
Enhanced Holt-Winters RSI [BOSWaves]Enhanced Holt-Winters RSI – Next-Level Momentum Smoothing & Signal Precision Overview The Enhanced Holt-Winters RSI transforms the classic Relative Strength Index into a robust, lag-minimized momentum oscillator through Holt-Winters triple exponential smoothing. By modeling the level, trend, and cyclical behavior of the RSI series, this indicator delivers smoother, more responsive signals that highlight overbought/oversold conditions, momentum shifts, and high-conviction trading setups without cluttering the chart with noise. Unlike traditional RSI, which reacts to historical data and produces frequent whipsaws, the Enhanced Holt-Winters RSI filters transient price fluctuations, enabling traders to detect emerging momentum and potential reversal zones earlier. Theoretical Foundation The traditional RSI measures relative strength by comparing average gains and losses, but suffers from: Lag in trend recognition : Signals often arrive after momentum has shifted. Noise sensitivity : High-frequency price movements generate unreliable crossovers. Limited insight into structural market shifts : Standard RSI cannot contextualize cyclical or momentum patterns. The Enhanced Holt-Winters RSI addresses these limitations by applying triple exponential smoothing directly to the RSI series. This decomposes the series into: Level (Lₜ) : Represents the smoothed central tendency of RSI. Trend (Tₜ) : Captures rate-of-change in smoothed momentum. Seasonal Component (Sₜ) : Models short-term cyclical deviations in momentum. By incorporating these elements, the oscillator produces smoothed RSI values that react faster to emerging trends while suppressing erratic noise. Its internal forecast is mathematical, influencing the smoothed RSI output and signals, rather than being directly plotted. How It Works The Enhanced Holt-Winters RSI builds its signal framework through several layers: 1. Base RSI Calculation Computes standard RSI over the selected period as the primary momentum input. 2. Triple Exponential Smoothing (Holt-Winters) The RSI is smoothed recursively to extract underlying momentum structure: Level, trend, and seasonal components are combined to produce a smoothed RSI. This internal smoothing reduces lag and enhances signal reliability. 3. Momentum Analysis Short-term momentum shifts are tracked via a moving average of the smoothed RSI, highlighting acceleration or deceleration in directional strength. 4. Volume Confirmation (Optional) Buy/sell signals can be filtered through a configurable volume threshold, ensuring only high-conviction moves trigger alerts. 5. Visual Output Colored Candles : Represent overbought (red), oversold (green), or neutral (yellow) conditions. Oscillator Panel : Plots the smoothed RSI with dynamic color coding for immediate trend context. Signals : Triangular markers indicate bullish or bearish setups, with stronger signals flagged in extreme zones. Interpretation The Enhanced Holt-Winters RSI provides a multi-dimensional perspective on price action: Trend Strength : Smoothed RSI slope and color coding reflect the direction and momentum intensity. Momentum Shifts : Rapid changes in the smoothed RSI indicate emerging strength or weakness. Overbought/Oversold Zones : Highlight areas where price is stretched relative to recent momentum. High-Conviction Signals : Combined with volume filtering, markers indicate optimal entries/exits. Cycle Awareness : Smoothing reveals structural patterns, helping traders avoid reacting to noise. By combining these elements, traders gain early insight into market structure and momentum without relying on raw, lag-prone RSI data. Strategy Integration The Enhanced Holt-Winters RSI can be applied across trading styles: Trend Following Enter when RSI is aligned with price momentum and color-coded signals confirm trend direction. Strong slope in the smoothed RSI signals trend continuation. Reversal Trading Look for RSI extremes with momentum shifts and strong signal markers. Compression in oscillator values often precedes reversal setups. Breakout Detection Oscillator flattening in neutral zones followed by directional expansion indicates potential breakout conditions. Multi-Timeframe Confluence Higher timeframes provide directional bias; lower timeframes refine entry timing using smoothed RSI dynamics. Technical Implementation Details Input Source : Close, open, high, low, or price. Smoothing : Holt-Winters triple exponential smoothing applied to RSI. Parameters : Level (α) : Controls smoothing of RSI. Trend (β) : Adjusts responsiveness to momentum changes. Seasonal Length : Defines cycles for short-term adjustments. Delta Smoothing : Reduces choppiness in smoothed RSI difference. Outputs : Smoothed RSI Colored candles and oscillator panel Buy/Sell signal markers (with optional strength filtering) Volume Filtering : Optional threshold to confirm signals. Optimal Application Parameters Asset-Specific Guidance: Forex : Use moderate smoothing (α, β) to capture medium-term momentum swings while filtering minor price noise. Works best when combined with volume or volatility filters. Equities : Balance responsiveness and smoothness to identify sustained sector momentum or rotational shifts; ideal for capturing clean directional transitions. Cryptocurrency : Increase smoothing parameters slightly to stabilize RSI during extreme volatility; optional volume confirmation can help filter false signals. Futures/Indices : Lower smoothing sensitivity emphasizes macro momentum and structural trend durability over short-term fluctuations. Timeframe Optimization: Scalping (1-5m) : Use higher sensitivity (lower smoothing factors) to react quickly to micro-momentum reversals. Intraday (15m-1h) : Balance smoothing and responsiveness for detecting short-term acceleration and exhaustion zones. Swing (4h-Daily) : Apply moderate smoothing to reveal underlying directional persistence and cyclical reversals. Position (Daily-Weekly) : Use stronger smoothing to isolate dominant momentum trends and filter temporary pullbacks. Integration Guidelines Combine with trend filters (EMAs, SuperSmoother MA, ATR-based tools) for confirmation. Use volume and signal strength markers to filter low-conviction trades. Slope, color, and signal alignment can guide entry, stop placement, and scaling. Disclaimer The Enhanced Holt-Winters RSI is a technical analysis tool, not a guaranteed profit system. Effectiveness depends on proper settings, market structure, and disciplined risk management. Always backtest before live trading.
Pine Script®指標
由BOSWaves提供
1
Aggregated Scores Oscillator [Alpha Extract]A sophisticated risk-adjusted performance measurement system that combines Omega Ratio and Sortino Ratio methodologies to create a comprehensive market assessment oscillator. Utilizing advanced statistical band calculations with expanding and rolling window analysis, this indicator delivers institutional-grade overbought/oversold detection based on risk-adjusted returns rather than traditional price movements. The system's dual-ratio aggregation approach provides superior signal accuracy by incorporating both upside potential and downside risk metrics with dynamic threshold adaptation for varying market conditions. 🔶 Advanced Statistical Framework Implements dual statistical methodologies using expanding and rolling window calculations to create adaptive threshold bands that evolve with market conditions. The system calculates cumulative statistics alongside rolling averages to provide both historical context and current market regime sensitivity with configurable window parameters for optimal performance across timeframes. 🔶 Dual Ratio Integration System Combines Omega Ratio analysis measuring excess returns versus deficit returns with Sortino Ratio calculations focusing on downside deviation for comprehensive risk-adjusted performance assessment. The system applies configurable smoothing to both ratios before aggregation, ensuring stable signal generation while maintaining sensitivity to regime changes. // Omega Ratio Calculation Excess_Return = sum((Daily_Return > Target_Return ? Daily_Return - Target_Return : 0), Period) Deficit_Return = sum((Daily_Return < Target_Return ? Target_Return - Daily_Return : 0), Period) Omega_Ratio = Deficit_Return ≠ 0 ? (Excess_Return / Deficit_Return) : na // Sortino Ratio Framework Downside_Deviation = sqrt(sum((Daily_Return < Target_Return ? (Daily_Return - Target_Return)² : 0), Period) / Period) Sortino_Ratio = (Mean_Return / Downside_Deviation) * sqrt(Annualization_Factor) // Aggregated Score Aggregated_Score = SMA(Omega_Ratio, Omega_SMA) + SMA(Sortino_Ratio, Sortino_SMA) 🔶 Dynamic Band Calculation Engine Features sophisticated threshold determination using both expanding historical statistics and rolling window analysis to create adaptive overbought/oversold levels. The system incorporates configurable multipliers and sensitivity adjustments to optimize signal timing across varying market volatility conditions with automatic band convergence logic. 🔶 Signal Generation Framework Generates overbought conditions when aggregated score exceeds adjusted upper threshold and oversold conditions below lower threshold, with neutral zone identification for range-bound markets. The system provides clear binary signal states with background zone highlighting and dynamic oscillator coloring for intuitive market condition assessment. 🔶 Enhanced Visual Architecture Provides modern dark theme visualization with neon color scheme, dynamic oscillator line coloring based on signal states, and gradient band fills for comprehensive market condition visualization. The system includes zero-line reference, statistical band plots, and background zone highlighting with configurable transparency levels. snapshot 🔶 Risk-Adjusted Performance Analysis Utilizes target return parameters for customizable risk assessment baselines, enabling traders to evaluate performance relative to specific return objectives. The system's focus on downside deviation through Sortino analysis provides superior risk-adjusted signals compared to traditional volatility-based oscillators that treat upside and downside movements equally. 🔶 Multi-Timeframe Adaptability Features configurable calculation periods and rolling windows to optimize performance across various timeframes from intraday to long-term analysis. The system's statistical foundation ensures consistent signal quality regardless of timeframe selection while maintaining sensitivity to market regime changes through adaptive band calculations. 🔶 Performance Optimization Framework Implements efficient statistical calculations with optimized variable management and configurable smoothing parameters to balance responsiveness with signal stability. The system includes automatic band adjustment mechanisms and rolling window management for consistent performance across extended analysis periods. This indicator delivers sophisticated risk-adjusted market analysis by combining proven statistical ratios in a unified oscillator framework. Unlike traditional overbought/oversold indicators that rely solely on price movements, the ASO incorporates risk-adjusted performance metrics to identify genuine market extremes based on return quality rather than price volatility alone. The system's adaptive statistical bands and dual-ratio methodology provide institutional-grade signal accuracy suitable for systematic trading approaches across cryptocurrency, forex, and equity markets with comprehensive visual feedback and configurable risk parameters for optimal strategy integration.
Pine Script®指標
由AlphaExtract提供
2
RSI Cloud v1.0 [PriceBlance] RSI Cloud v1.0 — Ichimoku-style Cloud on RSI(14), not on price. Recalibrated baselines: EMA9 (Tenkan) for speed, WMA45 (Kijun) for stability. Plus ADX-on-RSI to grade strength so you know when momentum persists or fades. 1. Introduction RSI Cloud v1.0 applies an Ichimoku Cloud directly on RSI(14) to reveal momentum regimes earlier and cleaner than price-based views. We replaced Tenkan with EMA9 (faster, more responsive) and Kijun with WMA45 (slower, more stable) to fit a bounded oscillator (0–100). Forward spans (+26) and a lagging line (−26) provide a clear framework for trend bias and transitions. To qualify signals, the indicator adds ADX computed on RSI—highlighting whether strength is weak, strong, or very strong, so you can decide when to follow, fade, or stand aside. 2. Core Mapping (Hook + Bullets) At a glance: Ichimoku on RSI(14) with recalibrated baselines for a bounded oscillator. Source: RSI(14) Tenkan → EMA9(RSI) (fast, responsive) Kijun → WMA45(RSI) (slow, stable) Span A: classic Ichimoku midline, displaced +26 Span B: classic Ichimoku baseline, displaced +26 Lagging line: RSI shifted −26 3. Key Benefits (Why traders care) Momentum regimes on RSI: position vs. Cloud = bull / bear / transition at a glance. Cleaner confirmations: EMA9/WMA45 pairing cuts noise vs. raw 30/70 flips. Earlier warnings: Cloud breaks on RSI often lead price-based confirmations. 4. ADX on RSI (Enhanced Strength Normalization) Grade strength inside the RSI domain using ADX from ΔRSI: ADX ≤ 20 → Weak (transparency = 60) ADX ≤ 40 → Strong (transparency = 15) ADX > 40 → Very strong (transparency = 0) Use these tiers to decide when to trust, fade, or ignore a signal. 5. How to Read (Quick rules) Bias / Regime Bullish: RSI above Cloud and RSI > WMA45 Bearish: RSI below Cloud and RSI < WMA45 Neutral / Transition: all other cases 6. Settings (Copy & use) RSI Length: 14 (default) Tenkan: EMA9 on RSI · Kijun: WMA45 on RSI Displacement: +26 (Span A/B) · −26 (Lagging) Theme: PriceBlance Dark/Light Visibility toggles: Cloud, Baselines, Lagging, labels/panel, Overbought/Oversold, Divergence, ADX-on-RSI (via transparency coloring) 7. Credits & License Author/Brand: PriceBlance Version: v1.0 (Free) Watermark: PriceBlance • RSI Cloud v1.0 Disclaimer: Educational content; not financial advice. 8. CTA If this helps, please ⭐ Star and Follow for updates & new tools. Feedback is welcome—comment what you’d like added next (alerts, presets, visuals).
Pine Script®指標
由priceblancetrading提供