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Enhanced Chande Momentum OscillatorEnhanced Chande Momentum Oscillator (Enh CMO) 📊 Description The Enhanced Chande Momentum Oscillator is an advanced version of the classic Chande Momentum Oscillator with dynamic envelope boundaries that automatically adapt to market volatility. This indicator provides clear visual signals for potential price reversals and momentum shifts. Key Features: Original Chande Momentum Oscillator calculation Dynamic upper and lower boundaries based on statistical analysis Adaptive envelope that adjusts to market volatility Visual fill area between boundaries for easy interpretation Real-time values table with current readings Built-in alert conditions for boundary touches Customizable moving average types (SMA, EMA, WMA) ⚙️ Settings CMO Settings: CMO Length (9): Period for calculating the base Chande Momentum Oscillator Source (close): Price source for calculations Envelope Settings: Envelope Length (20): Lookback period for calculating the moving average and standard deviation Envelope Multiplier (1.5): Multiplier for standard deviation to create upper/lower bounds Moving Average Type (EMA): Type of moving average for envelope calculation 📈 How to Use Visual Elements Lines: White Line: Main Chande Momentum Oscillator Red Line: Upper boundary (resistance level) Green Line: Lower boundary (support level) Yellow Line: Moving average of CMO (trend direction) Purple Fill: Visual envelope between boundaries Reference Lines: Zero Line: Neutral momentum level +50/-50 Lines: Traditional overbought/oversold levels Trading Signals 🔴 Sell/Short Signals CMO touches or crosses above upper boundary → Potential bearish reversal CMO is above +50 and declining → Weakening bullish momentum CMO crosses below yellow MA line while above zero → Momentum shift 🟢 Buy/Long Signals CMO touches or crosses below lower boundary → Potential bullish reversal CMO is below -50 and rising → Weakening bearish momentum CMO crosses above yellow MA line while below zero → Momentum shift ⚡ Advanced Signals Boundary contraction → Decreasing volatility, potential breakout coming Boundary expansion → High volatility period, use wider stops CMO hugging upper boundary → Strong uptrend continuation CMO hugging lower boundary → Strong downtrend continuation 🎯 Trading Strategies Strategy 1: Reversal Trading Wait for CMO to touch extreme boundaries (red or green lines) Look for divergence with price action Enter counter-trend position when CMO starts moving back toward center Set stop beyond the boundary breach point Take profit near zero line or opposite boundary Strategy 2: Momentum Confirmation Use CMO direction to confirm trend Enter positions when CMO crosses above/below yellow MA line Hold positions while CMO remains on the correct side of MA Exit when CMO crosses back through MA line Strategy 3: Volatility Breakout Monitor boundary width (envelope expansion/contraction) When boundaries contract significantly, prepare for breakout Enter in direction of CMO breakout from narrow range Use boundary expansion as confirmation signal ⚠️ Important Notes Best Timeframes Scalping: 1m, 5m charts Day Trading: 15m, 30m, 1H charts Swing Trading: 4H, Daily charts Market Conditions Trending Markets: Focus on momentum confirmation signals Ranging Markets: Focus on boundary reversal signals High Volatility: Increase envelope multiplier (1.8-2.5) Low Volatility: Decrease envelope multiplier (1.0-1.3) Risk Management Always use stop losses beyond boundary levels Reduce position size during boundary expansion periods Combine with price action and support/resistance levels Monitor the real-time table for precise entry/exit levels 🔔 Alerts The indicator includes built-in alert conditions: "CMO Above Upper Bound": Potential reversal down signal "CMO Below Lower Bound": Potential reversal up signal Set these alerts to catch opportunities without constantly monitoring charts. 💡 Tips for Success Combine with other indicators: Use with RSI, MACD, or volume indicators for confirmation Watch for divergences: CMO making new highs/lows while price doesn't follow Use multiple timeframes: Check higher timeframe CMO for overall trend context Adjust settings for different assets: Crypto may need different settings than forex Paper trade first: Test the indicator with your trading style before using real money 🎨 Customization Tips Change colors in the Pine Script to match your chart theme Adjust envelope length for faster (shorter) or slower (longer) signals Modify envelope multiplier based on asset volatility Hide the table if it obstructs your view by commenting out the table section Complete trading solution: Pair with the Optimus Indicator (paid indicator) for multi-timeframe trend analysis and trend signals. Together they create a powerful confluence system for professional trading setups.
Wskaźnik Pine Script®
od Jazzman34
Market Pressure Oscillator█ OVERVIEW The Market Pressure Oscillator is an advanced technical indicator for TradingView, enabling traders to identify potential trend reversals and momentum shifts through candle-based pressure analysis and divergence detection. It combines a smoothed oscillator with moving average signals, overbought/oversold levels, and divergence visualization, enhanced by customizable gradients, dynamic band colors, and alerts for quick decision-making. █ CONCEPT The indicator measures buying or selling pressure based on candle body size (open-to-close difference) and direction, with optional smoothing for clarity and divergence detection between price action and the oscillator. It relies solely on candle data, offering insights into trend strength, overbought/oversold conditions, and potential reversals with a customizable visual presentation. █ WHY USE IT? - Divergence Detection: Identifies bullish and bearish divergences to reinforce signals, especially near overbought/oversold zones. - Candle Pressure Analysis: Measures pressure based on candle body size, normalized to a ±100 scale. - Signal Generation: Provides buy/sell signals via overbought/oversold crossovers, zero-line crossovers, moving average zero-line crossovers, and dynamic band color changes. - Visual Clarity: Uses dynamic colors, gradients, and fill layers for intuitive chart analysis. Flexibility: Extensive settings allow customization to individual trading preferences. █ HOW IT WORKS? - Candle Pressure Calculation: Computes candle body size as math.abs(close - open), normalized against the average body size over a lookback period (avgBody = ta.sma(body, len)). - Candle direction (bullish: +1, bearish: -1, neutral: 0) is multiplied by body weight to derive pressure. - Cumulative Pressure: Sums pressure values over the lookback period (Lookback Length) and normalizes to ±100 relative to the maximum possible value. - Smoothing: Optionally applies EMA (Smoothing Length) to normalized pressure. - Moving Average: Calculates SMA (Moving Average Length) for trend confirmation (Moving Average (SMA)). - Divergence Detection: Identifies bullish/bearish divergences by comparing price and oscillator pivot highs/lows within a specified range (Pivot Length). Divergence signals appear with a delay equal to the Pivot Length. - Signals: Generates signals for: Crossing oversold upward (buy) or overbought downward (sell). Crossing the zero line by the oscillator or moving average (buy/sell). Bullish/bearish divergences, marked with labels, enhancing signals, especially near overbought/oversold zones. Dynamic band color changes when the moving average crosses MA overbought/oversold thresholds (green for oversold, red for overbought). - Visualization: Plots the oscillator and moving average with dynamic colors, gradient fills, transparent bands, and labels, with customizable overbought/oversold levels. Alerts: Built-in alerts for divergences, overbought/oversold crossovers, and zero-line crossovers (oscillator and moving average). █ SETTINGS AND CUSTOMIZATION - Lookback Length: Period for aggregating candle pressure (default: 14). - Smoothing Length (EMA): EMA length for smoothing the oscillator (default: 1). Higher values smooth the signal but may reduce signal frequency; adjust overbought/oversold levels accordingly. - Moving Average Length (SMA): SMA length for the moving average (default: 14, minval=1). Higher values make SMA a trend indicator, requiring adjusted MA overbought/oversold levels. - Pivot Length (Left/Right): Candles for detecting pivot highs/lows in divergence calculations (default: 2, minval=1). Higher values reduce noise but add delay equal to the set value. - Enable Divergence Detection: Enables divergence detection (default: true). - Overbought/Oversold Levels: Thresholds for the oscillator (default: 30/-30) and moving average (default: 10/-10). For the moving average, no arrows appear; bands change color from gray to green (oversold) or red (overbought), reinforcing entry signals. - Signal Type: Select signals to display: "None", "Overbought/Oversold", "Zero Line", "MA Zero Line", "All" (default: "Overbought/Oversold"). - Colors and Gradients: Customize colors for bullish/bearish oscillator, moving average, zero line, overbought/oversold levels, and divergence labels. - Transparency: Adjust gradient fill transparency (default: 70, minval=0, maxval=100) and band/label transparency (default: 40, minval=0, maxval=100) for consistent visuals. - Visualizations: Enable/disable moving average, gradients for zero/overbought/oversold levels, and gradient fills. █ USAGE EXAMPLES - Momentum Analysis: Observe the MPO Oscillator above 0 for bullish momentum or below 0 for bearish momentum. The SMA, being smoother, reacts slower and can confirm trend direction as a noise filter. - Reversal Signals: Look for buy triangles when the oscillator crosses oversold upward, especially when the SMA is below the MA oversold threshold and the band turns green. Similarly, seek sell triangles when crossing overbought downward, with the SMA above the MA overbought threshold and the band turning red. - Using Divergences: Treat bullish (green labels) and bearish (red labels) divergences as reinforcement for other signals, especially near overbought/oversold zones, indicating stronger potential trend reversals. - Customization: Adjust lookback length, smoothing, and moving average length to specific instruments and timeframes to minimize false signals. █ USER NOTES Combine the indicator with tools like Fibonacci levels or pivot points to enhance accuracy. Test different settings for lookback length, smoothing, and moving average length on your chosen instrument and timeframe to find optimal values.
Wskaźnik Pine Script®
od Uncle_the_shooter
Stochastic 6TF by jjuiiStochastic 6TF by J is a Multi-Timeframe (MTF) Stochastic indicator that displays %K values from up to 6 different timeframes in a single window. This helps traders analyze momentum across short, medium, and long-term perspectives simultaneously. Features: - Supports 6 customizable timeframes (e.g., 5m, 15m, 1h, 4h, 1D, 1W) - Option to show/hide each timeframe line - Standard reference levels (20 / 50 / 80) with background shading - Smoothed %K for clearer visualization Best for: - Cross-timeframe momentum analysis - Spotting aligned Overbought / Oversold signals - Confirming market trends and timing entries/exits ------------------------------------------------------------- Stochastic 6TF by J คืออินดิเคเตอร์ Stochastic Multi Timeframe (MTF) ที่สามารถแสดงค่า %K จากหลายกรอบเวลา (สูงสุด 6 TF) ไว้ในหน้าต่างเดียว ช่วยให้นักเทรดมองเห็นโมเมนตัมของราคา ทั้งระยะสั้น กลาง และยาว พร้อมกัน คุณสมบัติ: - เลือกกรอบเวลาได้ 6 ชุด (เช่น 5m, 15m, 1h, 4h, 1D, 1W) - สามารถเปิด/ปิดการแสดงผลแต่ละ TF ได้ - มีเส้นแนวรับ/แนวต้านมาตรฐาน (20 / 50 / 80) - ใช้เส้น %K ที่ถูกปรับค่าเฉลี่ยให้เรียบขึ้นเพื่ออ่านง่าย เหมาะสำหรับ: - การดูโมเมนตัมข้ามกรอบเวลา - หาจังหวะ Overbought / Oversold ที่สอดคล้องกันหลาย TF - ใช้ยืนยันแนวโน้มและหาจังหวะเข้า-ออกอย่างแม่นยำมากขึ้น
Wskaźnik Pine Script®
od jjuii
Multi-Timeframe Stochastic RSI Momentum MatrixThis indicator gives you a "bigger picture" view of a stock's momentum by showing you the Daily, Weekly, and Monthly Stoch RSI all in one place. It helps answer two key questions: "Where is the price going?" and "When might things change?". The results of this indicator are presented in a table for easy viewing. What the Columns Mean: Stoch RSI : The main momentum score. Red means "overbought" (momentum is high and might be getting tired), and green means "oversold" (momentum is low and might be ready to bounce). Price for OB/OS : This shows you the approximate price the stock needs to hit to become overbought or oversold. - (Hist) means the target is a real price that happened recently. - (Pred) means the price has exceeded the historical momentum boundary at which was oversold or overbough so the indicator has to predict a new target instead of leveraging a historical target. Key Anchor Reset In : Think of this as a simple countdown. It tells you how many bars (days, weeks, etc.) are left until a key old price is dropped from the indicator's memory. When this countdown hits zero, it can cause a sharp change in the momentum reading, giving you a "heads-up" for a potential shift. If you're interested in more technical details, read below: I have leveraged a quantitative framework for analyzing the temporal dynamics of the Stochastic RSI across multiple timeframes (Daily, Weekly, Monthly). It functions as a correlational matrix, designed to move beyond simple overbought/oversold signals by providing contextual and data-driven targets in both price and time. The matrix computes two primary sets of forward-looking data points: Price Targets : A hybrid model is employed to determine the price required to push the StochRSI oscillator into an extreme state. - Historical Anchor (Hist) : This is the primary/default method. It identifies the deterministic close price within the lookback period that corresponds to the highest (or lowest) RSI value. This represents a concrete and historically-defined momentum boundary. - Predictive Heuristic (Pred) : In instances where the current price has invalidated this historical anchor (i.e., the market is in a state of momentum expansion), the model switches to a predictive heuristic. It calculates the recent price-to-RSI volatility ratio and extrapolates the approximate price movement required to achieve an overbought or oversold state. Temporal Targets ("Key Anchor Reset In") : This metric provides a temporal forecast. It identifies the highest and lowest RSI values currently anchoring the Stochastic calculation and determines the number of bars remaining until these key data points are excluded from the lookback window. The roll-off of these anchors can precede a significant, non-linear reset in the oscillator's value, thus serving as a leading indicator for a potential momentum state-shift. Disclaimer : This tool is a derivative of historical price action and should be used for quantitative analysis of momentum states, not as an oracle. The "predictive" components are heuristic extrapolations based on recent volatility and momentum characteristics and they are probabilistic in nature and do not account for exogenous market variables or fundamental shifts. All outputs are contingent on the continuation of the ticker's current momentum profile.
Wskaźnik Pine Script®
od dasacortado
Algorithmic Value Oscillator [CRYPTIK1]Algorithmic Value Oscillator Introduction: What is the AVO? Welcome to the Algorithmic Value Oscillator (AVO), a powerful, modern momentum indicator that reframes the classic "overbought" and "oversold" concept. Instead of relying on a fixed lookback period like a standard RSI, the AVO measures the current price relative to a significant, higher-timeframe Value Zone . This gives you a more contextual and structural understanding of price. The core question it answers is not just "Is the price moving up or down quickly?" but rather, " Where is the current price in relation to its recently established area of value? " This allows traders to identify true "premium" (overbought) and "discount" (oversold) levels with greater accuracy, all presented with a clean, futuristic aesthetic designed for the modern trader. The Core Concept: Price vs. Value The market is constantly trying to find equilibrium. The AVO is built on the principle that the high and low of a significant prior period (like the previous day or week) create a powerful area of perceived value. The Value Zone: The range between the high and low of the selected higher timeframe. Premium Territory (Distribution Zone): When the oscillator moves into the glowing pink/purple zone above +100, it is trading at a premium. Discount Territory (Accumulation Zone): When the oscillator moves into the glowing teal/blue zone below -100, it is trading at a discount. Key Features 1. Glowing Gradient Oscillator: The main oscillator line is a dynamic visual guide to momentum. The line changes color smoothly from light blue to neon teal as bullish momentum increases. It shifts from hot pink to bright purple as bearish momentum increases. Multiple transparent layers create a professional "glow" effect, making the trend easy to see at a glance. 2. Dynamic Volatility Histogram: This histogram at the bottom of the indicator is a custom volatility meter. It has been engineered to be adaptive, ensuring that the visual differences between high and low volatility are always clear and dramatic, no matter your zoom level. It uses a multi-color gradient to visualize the intensity of market volatility. 3. Volatility Regime Dashboard: This simple on-screen table analyzes the histogram and provides a clear, one-word summary of the current market state: Compressing, Stable, or Expanding. How to Use the AVO: Trading Strategies 1. Reversion Trading This is the most direct way to use the indicator. Look for Buys: When the AVO line drops into the teal "Accumulation Zone" (below -100), the price is trading at a discount. Watch for the oscillator to form a bottom and start turning up as a signal that buying pressure is returning. Look for Sells: When the AVO line moves into the pink "Distribution Zone" (above +100), the price is trading at a premium. Watch for the oscillator to form a peak and start turning down as a signal that selling pressure is increasing. 2. Best Practices & Settings Timeframe Synergy: The AVO is most effective when your chart timeframe is lower than your selected "Value Zone Source." For example, if you trade on the 1-hour chart, set your Value Zone to "Previous Day." Confirmation is Key: This indicator provides powerful context, but it should not be used in isolation. Always combine its readings with your primary analysis, such as market structure and support/resistance levels.
Wskaźnik Pine Script®
od CRYPTIK1
3
Premier Stochastic Oscillator [LazyBear, V2]This script builds on the well-known Premier Stochastic Oscillator (PSO) originally introduced by LazyBear, and adds a Z-Score extension to provide statistical interpretation of momentum extremes. Features Premier Stochastic Core: A smoothed stochastic calculation that highlights bullish and bearish momentum phases. Z-Score Mapping: The PSO values are standardized into Z-Scores (from –3 to +3), quantifying the degree of momentum stretch. Positive / Negative Z-Scores: Positive Z values suggest momentum strength that can align with accumulation or favorable buying conditions. Negative Z values indicate stronger bearish pressure, often aligning with selling or distribution conditions. On-Chart Label: The current Z-Score is displayed on the latest bar for quick reference. How to Use Momentum Confirmation: Use the oscillator to confirm whether bullish or bearish momentum is intensifying. Overextended Conditions: Extreme Z-Scores (±2 or beyond) highlight statistically stretched conditions, often preceding reversions. Strategic Integration: Best applied in confluence with trend tools or higher-timeframe filters; not a standalone trading signal. Originality Unlike the standard PSO, this version: Adds a Z-Score framework for objective statistical scaling. Provides real-time labeling of Z values for clarity. Extends the classic oscillator into a tool for both momentum detection and mean-reversion context.
Wskaźnik Pine Script®
od S0905B
RSI ScannerRSI Scanner This script scans a custom list of symbols and displays their RSI values for a selected higher timeframe (default: 3M). It provides a quick way to monitor multiple markets in one place without switching charts. Features: Customizable timeframe for RSI calculation (default: 3M). Adjustable RSI length and source input. Flexible filter: display all symbols or only those with RSI above a chosen threshold. Input your own list of symbols (stocks, forex, futures, crypto) via a text field. Results displayed in a clean, table directly on the chart. Automatic column split when the symbol list is long. Table header shows selected timeframe and filter settings for clarity. How to use: Add the script to your chart. Open the Inputs panel. In Symbols List, enter the tickers you want to track, separated by commas (e.g. AAPL, TSLA, EURUSD, BTCUSD). Set the desired Timeframe (e.g. 3M, 1M, W). Adjust RSI Length and Source if needed. Enable or disable filtering: If filtering is enabled, only symbols with RSI ≥ the threshold will be shown. If disabled, all entered symbols will be displayed. The table in the top-right corner will update automatically on the last bar. Use cases: Monitor RSI across different asset classes on higher timeframes. Quickly spot overbought symbols (e.g. RSI > 70) without switching charts. Create a custom multi-market watchlist tailored to your strategy.
Wskaźnik Pine Script®
od dboichenko
Katz Impact Wave 🚀Overview of the Katz Impact Wave 🚀 The Katz Impact Wave is a momentum oscillator designed to visualize the battle between buyers and sellers. Instead of combining bullish and bearish pressure into a single line, it separates them into two distinct "Impact Waves." Its primary goal is to generate clear trade signals by identifying when one side gains control, but only when the market has enough volatility to be considered "moving." This built-in filter helps to avoid signals during flat or choppy market conditions. Indicator Components: Lines & Plots Impact Waves & Fill Green Wave (Total Up Impulses): This line represents the cumulative buying pressure. When this line is rising, it indicates that bulls are getting stronger. Red Wave (Total Down Impulses): This line represents the cumulative selling pressure. When this line is rising, it indicates that bears are getting stronger. Colored Fill: The shaded area between the two waves provides an at-a-glance view of who is in control. Lime Fill: Bulls are dominant (Green Wave is above the Red Wave). Red Fill: Bears are dominant (Red Wave is above the Green Wave). Background Color The background color provides crucial context about the market state according to the indicator's logic. Green Background: The market is in a bullish state (Green Wave is dominant) AND the Rate of Change (ROC) filter confirms the market is actively moving. Red Background: The market is in a bearish state (Red Wave is dominant) AND the ROC filter confirms the market is actively moving. Gray Background: The market is considered "not moving" or is in a low-volatility chop. Signals that occur when the background is gray should be viewed with extreme caution or ignored. Symbols & Pivot Lines ▲ Blue Triangle (Up): This is your long entry signal. It appears on the bar where the Green Wave crosses above the Red Wave while the market is moving. ▼ Orange Triangle (Down): This is your short entry signal. It appears on the bar where the Red Wave crosses above the Green Wave while the market is moving. Pivot Lines (Solid Green/Red/White Lines): These lines mark confirmed peaks of exhaustion in momentum, not price. Green Pivot Line: Marks a peak in the Green Wave, signaling buying momentum exhaustion. This can be a warning that the uptrend is losing steam. Red Pivot Line: Marks a peak in the Red Wave, signaling selling momentum exhaustion. This can be a warning that the downtrend is losing steam. ▼ Yellow Triangle (Compression): This rare signal appears when buying and selling exhaustion pivots happen at the same level. It signifies a point of extreme indecision or equilibrium that often occurs before a major price expansion. Trading Rules & Strategy This indicator provides entry signals but does not provide explicit Take Profit or Stop Loss levels. You must use your own risk management rules. Long Trade Rules Entry Signal: Wait for a blue ▲ triangle to appear at the top of the indicator panel. Confirmation: Ensure the background color is green, confirming the market is in a bullish, moving state. Action: Enter a long (buy) trade at the open of the next candle after the signal appears. Short Trade Rules Entry Signal: Wait for an orange ▼ triangle to appear at the bottom of the indicator panel. Confirmation: Ensure the background color is red, confirming the market is in a bearish, moving state. Action: Enter a short (sell) trade at the open of the next candle after the signal appears. Take Profit (TP) & Stop Loss (SL) Ideas You must develop and test your own exit strategy. Here are some common approaches: Stop Loss: Place a stop loss below the most recent significant swing low on the price chart for a long trade, or above the recent swing high for a short trade. Use an ATR (Average True Range) based stop, such as 2x the ATR value below your entry for a long, to account for market volatility. Take Profit: Opposite Signal: The simplest exit is to close your trade when the opposite signal appears (e.g., close a long trade when a short signal ▼ appears). Momentum Exhaustion: For a long trade, consider taking partial or full profit when a green Pivot Line appears, signaling that buying momentum is peaking. Fixed Risk/Reward: Use a predetermined risk/reward ratio (e.g., 1:1.5 or 1:2). Disclaimer This indicator is a tool for analysis, not a financial advisor or a guaranteed profit system. All trading and investment activities involve substantial risk. You should not risk more than you are prepared to lose. Past performance is not an indication of future results. You are solely responsible for your own trading decisions, risk management, and for backtesting this or any other tool before using it in a live trading environment. This indicator is for educational purposes only.
Wskaźnik Pine Script®
od KATZcrypto
Katz Exploding PowerBand FilterUnderstanding the Katz Exploding PowerBand Filter (EPBF) v2.4 1. Indicator Overview The Katz Exploding PowerBand Filter (EPBF) is an advanced technical indicator designed to identify moments of expanding bullish or bearish momentum, often referred to as "power." It operates as a standalone oscillator in a separate pane below the main price chart. Its primary goal is to measure underlying market strength by calculating custom "Bull" and "Bear" power components. These components are then filtered through a versatile moving average and a dual signal line system to generate clear entry and exit signals. This indicator is not a simple momentum oscillator; it uses a unique calculation based on exponential envelopes of both price and squared price to derive its values. 2. On-Chart Lines and Components The indicator pane consists of five main lines: Bullish Component (Thick Green/Blue/Yellow/Gray Line): This is the core of the indicator. It represents the calculated bullish "power" or momentum in the market. Bright Green: Indicates a strong, active long signal condition. Blue: Shows the bull component is above the MA filter, but the filter itself is still pointing down—a potential sign of a reversal or weakening downtrend. Yellow: A warning sign that bullish power is weakening and has fallen below the primary signal lines. Gray: Represents neutral or insignificant bullish power. Bearish Component (Thick Red/Purple/Yellow/Gray Line): This line represents the calculated bearish "power" or downward momentum. Bright Red: Indicates a strong, active short signal condition. Purple: Shows the bear component is above the MA filter, but the filter itself is still pointing down—a sign of potential trend continuation. Yellow: A warning sign that bearish power is weakening. Gray: Represents neutral or insignificant bearish power. MA Filter (Purple Line): This is the main filter, calculated using the moving average type and length you select in the settings (e.g., HullMA, EMA). The Bull and Bear components are compared against this line to determine the underlying trend bias. Signal Line 1 (Orange Line): A fast Exponential Moving Average (EMA) of the stronger power component. It acts as the first level of dynamic support or resistance for the power lines. Signal Line 2 (Lime/Gray Line): A slower EMA that acts as a confirmation filter. Lime Green: The line turns lime when it is rising and the faster Signal Line 1 is above it, indicating a confirmed bullish trend in momentum. Gray: Indicates a neutral or bearish momentum trend. 3. On-Chart Symbols and Their Meanings Various characters are plotted at the bottom of the indicator pane to provide clear, actionable signals. L (Pre-Long Signal): The first sign of a potential long entry. It appears when the Bullish Component rises and crosses above both signal lines for the first time. S (Pre-Short Signal): The first sign of a potential short entry. It appears when the Bearish Component rises and crosses above both signal lines for the first time. ▲ (Post-Long Signal): A stronger confirmation for a long entry. It appears with the 'L' signal only if the momentum trend is also confirmed bullish (i.e., the slower Signal Line 2 is lime green). ▼ (Post-Short Signal): A stronger confirmation for a short entry. It appears with the 'S' signal only if the momentum trend is confirmed bullish. Exit / Take-Profit Symbols: These symbols appear when a power component crosses below a line, suggesting that momentum is fading and it may be time to take profit. ⚠️ (Exit Signal 1): The Bull/Bear component has crossed below the main MA Filter. This is the first and most sensitive take-profit signal. ☣️ (Exit Signal 2): The Bull/Bear component has crossed below the faster Signal Line 1. This is a moderate take-profit signal. 🚼 (Exit Signal 3): The Bull/Bear component has crossed below the slower Signal Line 2. This is the slowest take-profit signal, suggesting the trend is more definitively exhausted. 4. Trading Strategy and Rules Long Entry Rules: Initial Signal: Wait for an L to appear at the bottom of the indicator. This confirms that bullish power is expanding. Confirmation (Recommended): For a higher-probability trade, wait for a green ▲ symbol to appear. This confirms the underlying momentum trend aligns with the signal. Entry: Enter a long (buy) position on the opening of the next candle after the signal appears. Short Entry Rules: Initial Signal: Wait for an S to appear at the bottom of the indicator. This confirms that bearish power is expanding. Confirmation (Recommended): For a higher-probability trade, wait for a maroon ▼ symbol to appear. This confirms the underlying momentum trend aligns with the signal. Entry: Enter a short (sell) position on the opening of the next candle after the signal appears. Take Profit (TP) Rules: The indicator provides three levels of take-profit signals. You can choose to exit your entire position or scale out at each level. For a long trade, exit when you see ⚠️, ☣️, or 🚼 appear below the Bullish Component. For a short trade, exit when you see ⚠️, ☣️, or 🚼 appear below the Bearish Component. Stop Loss (SL) Rules: The indicator does not provide an explicit stop loss. You must use your own risk management rules. Common methods include: Swing High/Low: For a long position, place your stop loss below the most recent significant swing low on the price chart. For a short position, place it above the most recent swing high. ATR-Based: Use an Average True Range (ATR) indicator to set a volatility-based stop loss. Fixed Percentage: Risk a fixed percentage (e.g., 1-2%) of your account on the trade. 5. Disclaimer This indicator is a tool for technical analysis and should not be considered financial advice. All trading involves significant risk, and past performance is not indicative of future results. The signals generated by this indicator are probabilistic and can result in losing trades. Always use proper risk management, such as setting a stop loss, and never risk more than you are willing to lose. It is recommended to backtest this indicator and use it in conjunction with other forms of analysis before trading with real capital. The indicator should only be used for educational purposes.
Wskaźnik Pine Script®
od KATZcrypto
SuperSmoother MA OscillatorSuperSmoother MA Oscillator - Ehlers-Inspired Lag-Minimized Signal Framework Overview The SuperSmoother MA Oscillator is a crossover and momentum detection framework built on the pioneering work of John F. Ehlers, who introduced digital signal processing (DSP) concepts into technical analysis. Traditional moving averages such as SMA and EMA are prone to two persistent flaws: excessive lag, which delays recognition of trend shifts, and high-frequency noise, which produces unreliable whipsaw signals. Ehlers’ SuperSmoother filter was designed to specifically address these flaws by creating a low-pass filter with minimal lag and superior noise suppression, inspired by engineering methods used in communications and radar systems. This oscillator extends Ehlers’ foundation by combining the SuperSmoother filter with multi-length moving average oscillation, ATR-based normalization, and dynamic color coding. The result is a tool that helps traders identify market momentum, detect reliable crossovers earlier than conventional methods, and contextualize volatility and phase shifts without being distracted by transient price noise. Unlike conventional oscillators, which either oversimplify price structure or overload the chart with reactive signals, the SuperSmoother MA Oscillator is designed to balance responsiveness and stability. By preprocessing price data with the SuperSmoother filter, traders gain a signal framework that is clean, robust, and adaptable across assets and timeframes. Theoretical Foundation Traditional MA oscillators such as MACD or dual-EMA systems react to raw or lightly smoothed price inputs. While effective in some conditions, these signals are often distorted by high-frequency oscillations inherent in market data, leading to false crossovers and poor timing. The SuperSmoother approach modifies this dynamic: by attenuating unwanted frequencies, it preserves structural price movements while eliminating meaningless noise. This is particularly useful for traders who need to distinguish between genuine market cycles and random short-term price flickers. In practical terms, the oscillator helps identify: Early trend continuations (when fast averages break cleanly above/below slower averages). Preemptive breakout setups (when compressed oscillator ranges expand). Exhaustion phases (when oscillator swings flatten despite continued price movement). Its multi-purpose design allows traders to apply it flexibly across scalping, day trading, swing setups, and longer-term trend positioning, without needing separate tools for each. The oscillator’s visual system - fast/slow lines, dynamic coloration, and zero-line crossovers - is structured to provide trend clarity without hiding nuance. Strong green/red momentum confirms directional conviction, while neutral gray phases emphasize uncertainty or low conviction. This ensures traders can quickly gauge the market state without losing access to subtle structural signals. How It Works The SuperSmoother MA Oscillator builds signals through a layered process: SuperSmoother Filtering (Ehlers’ Method) At its core lies Ehlers’ two-pole recursive filter, mathematically engineered to suppress high-frequency components while introducing minimal lag. Compared to traditional EMA smoothing, the SuperSmoother achieves better spectral separation - it allows meaningful cyclical market structures to pass through, while eliminating erratic spikes and aliasing. This makes it a superior preprocessing stage for oscillator inputs. Fast and Slow Line Construction Within the oscillator framework, the filtered price series is used to build two internal moving averages: a fast line (short-term momentum) and a slow line (longer-term directional bias). These are not plotted directly on the chart - instead, their relationship is transformed into the oscillator values you see. The interaction between these two internal averages - crossovers, separation, and compression - forms the backbone of trend detection: Uptrend Signal : Fast MA rises above the slow MA with expanding distance, generating a positive oscillator swing. Downtrend Signal : Fast MA falls below the slow MA with widening divergence, producing a negative oscillator swing. Neutral/Transition : Lines compress, flattening the oscillator near zero and often preceding volatility expansion. This design ensures traders receive the information content of dual-MA crossovers while keeping the chart visually clean and focused on the oscillator’s dynamics. ATR-Based Normalization Markets vary in volatility. To ensure the oscillator behaves consistently across assets, ATR (Average True Range) normalization scales outputs relative to prevailing volatility conditions. This prevents the oscillator from appearing overly sensitive in calm markets or too flat during high-volatility regimes. Dynamic Color Coding Color transitions reflect underlying market states: Strong Green : Bullish alignment, momentum expanding. Strong Red : Bearish alignment, momentum expanding. These visual cues allow traders to quickly gauge trend direction and strength at a glance, with expanding colors indicating increasing conviction in the underlying momentum. Interpretation The oscillator offers a multi-dimensional view of price dynamics: Trend Analysis : Fast/slow line alignment and zero-line interactions reveal trend direction and strength. Expansions indicate momentum building; contractions flag weakening conditions or potential reversals. Momentum & Volatility : Rapid divergence between lines reflects increasing momentum. Compression highlights periods of reduced volatility and possible upcoming expansion. Cycle Awareness : Because of Ehlers’ DSP foundation, the oscillator captures market cycles more cleanly than conventional MA systems, allowing traders to anticipate turning points before raw price action confirms them. Divergence Detection : When oscillator momentum fades while price continues in the same direction, it signals exhaustion - a cue to tighten stops or anticipate reversals. By focusing on filtered, volatility-adjusted signals, traders avoid overreacting to noise while gaining early access to structural changes in momentum. Strategy Integration The SuperSmoother MA Oscillator adapts across multiple trading approaches: Trend Following Enter when fast/slow alignment is strong and expanding: A fast line crossing above the slow line with expanding green signals confirms bullish continuation. Use ATR-normalized expansion to filter entries in line with prevailing volatility. Breakout Trading Periods of compression often precede breakouts: A breakout occurs when fast lines diverge decisively from slow lines with renewed green/red strength. Exhaustion and Reversals Oscillator divergence signals weakening trends: Flattening momentum while price continues trending may indicate overextension. Traders can exit or hedge positions in anticipation of corrective phases. Multi-Timeframe Confluence Apply the oscillator on higher timeframes to confirm the directional bias. Use lower timeframes for refined entries during compression → expansion transitions. Technical Implementation Details SuperSmoother Algorithm (Ehlers) : Recursive two-pole filter minimizes lag while removing high-frequency noise. Oscillator Framework : Fast/slow MAs derived from filtered prices. ATR Normalization : Ensures consistent amplitude across market regimes. Dynamic Color Engine : Aligns visual cues with structural states (expansion and contraction). Multi-Factor Analysis : Combines crossover logic, volatility context, and cycle detection for robust outputs. This layered approach ensures the oscillator is highly responsive without overloading charts with noise. Optimal Application Parameters Asset-Specific Guidance: Forex : Normalize with moderate ATR scaling; focus on slow-line confirmation. Equities : Balance responsiveness with smoothing; useful for capturing sector rotations. Cryptocurrency : Higher ATR multipliers recommended due to volatility. Futures/Indices : Lower frequency settings highlight structural trends. Timeframe Optimization: Scalping (1-5min) : Higher sensitivity, prioritize fast-line signals. Intraday (15m-1h) : Balance between fast/slow expansions. Swing (4h-Daily) : Focus on slow-line momentum with fast-line timing. Position (Daily-Weekly) : Slow lines dominate; fast lines highlight cycle shifts. Performance Characteristics High Effectiveness: Trending environments with moderate-to-high volatility. Assets with steady liquidity and clear cyclical structures. Reduced Effectiveness: Flat/choppy conditions with little directional bias. Ultra-short timeframes (<1m), where noise dominates. Integration Guidelines Confluence : Combine with liquidity zones, order blocks, and volume-based indicators for confirmation. Risk Management : Place stops beyond slow-line thresholds or ATR-defined zones. Dynamic Trade Management : Use expansions/contractions to scale position sizes or tighten stops. Multi-Timeframe Confirmation : Filter lower-timeframe entries with higher-timeframe momentum states. Disclaimer The SuperSmoother MA Oscillator is an advanced trend and momentum analysis tool, not a guaranteed profit system. Its effectiveness depends on proper parameter settings per asset and disciplined risk management. Traders should use it as part of a broader technical framework and not in isolation.
Wskaźnik Pine Script®
od BOSWaves
7
Momentum Shift Oscillator (MSO) [SharpStrat]Momentum Shift Oscillator (MSO) The Momentum Shift Oscillator (MSO) is a custom-built oscillator that combines the best parts of RSI, ROC, and MACD into one clean, powerful indicator. Its goal is to identify when momentum shifts are happening in the market, filtering out noise that a single momentum tool might miss. Why MSO? Most traders rely on just one momentum indicator like RSI, MACD, or ROC. Each has strengths, but also weaknesses: RSI → great for overbought/oversold, but often lags in strong trends. ROC (Rate of Change) → captures price velocity, but can be too noisy. MACD Histogram → shows trend strength shifts, but reacts slowly at times. By blending all three (with adjustable weights), MSO gives a balanced view of momentum. It captures trend strength, velocity, and exhaustion in one oscillator. How MSO Works Inputs: RSI, ROC, and MACD Histogram are calculated with user-defined lengths. Each is normalized (so they share the same scale of -100 to +100). You can set weights for RSI, ROC, and MACD to emphasize different components. The components are blended into a single oscillator value. Smoothing (SMA, EMA, or WMA) is applied. MSO plots as a smooth line, color-coded by slope (green rising, red falling). Overbought and oversold levels are plotted (default: +60 / -60). A zero line helps identify bullish vs bearish momentum shifts. How to trade with MSO Zero line crossovers → crossing above zero suggests bullish momentum; crossing below zero suggests bearish momentum. Overbought and oversold zones → values above +60 may indicate exhaustion in bullish moves; values below -60 may signal exhaustion in bearish moves. Slope of the line → a rising line shows strengthening momentum, while a falling line signals fading momentum. Divergences → if price makes new highs or lows but MSO does not, it can point to a possible reversal. Why MSO is Unique Combines trend + momentum + velocity into one view. Filters noise better than standalone RSI/MACD. Adapts to both trend-following and mean-reversion styles. Can be used across any timeframe for confirmation.
Wskaźnik Pine Script®
od SharpStrat
Mean Reversion Probability Zones [BigBeluga]🔵 OVERVIEW The Mean Reversion Probability Zones indicator measures the likelihood of price reverting back toward its mean . By analyzing oscillator dynamics (RSI, MFI, or Stochastic), it calculates probability zones both above and below the oscillator. These zones are visualized as histograms, colored regions on the main chart, and a compact dashboard, helping traders spot when the market is statistically stretched and more likely to revert. 🔵 CONCEPTS Mean Reversion : The tendency of price to return to its average after significant extensions. Oscillator-Based Analysis : Uses RSI, MFI, or Stochastic as the base signal for detecting overextension. Probability Model : The probability of reversion is computed using three factors: Whether the oscillator is rising or declining. Whether the oscillator is above or below user-defined thresholds. The oscillator’s actual value (distance from equilibrium). Dual-Zone Output : Upper histogram = probability of downward mean reversion. Lower histogram = probability of upward mean reversion. Historical Extremes : The dashboard highlights the recent maximum probability values for both upward and downward scenarios. 🔵 FEATURES Oscillator Choice : Switch between RSI, MFI, and Stochastic. Customizable Zones : User-defined upper/lower thresholds with independent colors. Probability Histograms : Above oscillator → down reversion probability. Below oscillator → up reversion probability. Colored Gradient Zones on Chart : Visual overlays showing where mean reversion probabilities are strongest. Probability Labels : Percentages displayed next to histogram values for clarity. Dashboard : Compact table in the corner showing the recent maximum probabilities for both upward and downward mean reversion. Overlay Compatibility : Works in both chart pane and sub-pane with oscillators. 🔵 HOW TO USE Set Oscillator : Choose RSI, MFI, or Stochastic depending on your strategy style. Adjust Zones : Define upper/lower bounds for when oscillator values indicate strong overbought/oversold conditions. Interpret Histograms : Orange (upper) histogram → higher chance of a pullback/downward mean reversion. Green (lower) histogram → higher chance of upward reversion/bounce. Watch Gradient Zones : On the main chart, shaded areas highlight where probability of mean reversion is elevated. Consult Dashboard : Use the “Recent MAX” values to understand how strong recent reversion probabilities have been in either direction. Confluence Strategy : Combine with support/resistance, order flow, or trend filters to avoid counter-trend trades. 🔵 CONCLUSION The Mean Reversion Probability Zones provides traders with an advanced way to quantify and visualize mean reversion opportunities. By blending oscillator momentum, threshold logic, and probability calculations, it highlights when markets are statistically stretched and primed for reversal. Whether you are a contrarian trader or simply looking for exhaustion signals to fade, this tool helps bring structure and clarity to mean reversion setups.
Wskaźnik Pine Script®
od BigBeluga
6
Pairs Trading Scanner [BackQuant]Pairs Trading Scanner What it is This scanner analyzes the relationship between your chart symbol and a chosen pair symbol in real time. It builds a normalized “spread” between them, tracks how tightly they move together (correlation), converts the spread into a Z-Score (how far from typical it is), and then prints clear LONG / SHORT / EXIT prompts plus an at-a-glance dashboard with the numbers that matter. Why pairs at all? Markets co-move. When two assets are statistically related, their relationship (the spread) tends to oscillate around a mean. Pairs trading doesn’t require calling overall market direction you trade the relative mispricing between two instruments. This scanner gives you a robust, visual way to find those dislocations, size their significance, and structure the trade. How it works (plain English) Step 1 Pick a partner: Select the Pair Symbol to compare against your chart symbol. The tool fetches synchronized prices for both. Step 2 Build a spread: Choose a Spread Method that defines “relative value” (e.g., Log Spread, Price Ratio, Return Difference, Price Difference). Each lens highlights a different flavor of divergence. Step 3 Validate relationship: A rolling Correlation checks if the pair is moving together enough to be tradable. If correlation is weak, the scanner stands down. Step 4 Standardize & score: The spread is normalized (mean & variability over a lookback) to form a Z-Score . Large absolute Z means “stretched,” small means “near fair.” Step 5 Signals: When the Z-Score crosses user-defined thresholds with sufficient correlation , entries print: LONG = long chart symbol / short pair symbol, SHORT = short chart symbol / long pair symbol, EXIT = mean reversion into the exit zone or correlation failure. Core concepts (the three pillars) Spread Method Your definition of “distance” between the two series. Guidance: Log Spread: Focuses on proportional differences; robust when prices live on different scales. Price Ratio: Classic relative value; good when you care about “X per Y.” Return Difference: Emphasizes recent performance gaps; nimble for momentum-to-mean plays. Price Difference: Straight subtraction; intuitive for similar-scale assets (e.g., two ETFs). Correlation A rolling score of co-movement. The scanner requires it to be above your Min Correlation before acting, so you’re not trading random divergence. Z-Score “How abnormal is today’s spread?” Positive = chart richer than pair; negative = cheaper. Thresholds define entries/exits with transparent, statistical context. What you’ll see on the chart Correlation plot (blue line) with a dashed Min Correlation guide. Above the line = green zone for signals; below = hands off. Z-Score plot (white line) with colored, dashed Entry bands and dotted Exit bands. Zero line for mean. Normalized spread (yellow) for a quick “shape read” of recent divergence swings. Signal markers : LONG (green label) when Z < –Entry and corr OK, SHORT (red label) when Z > +Entry and corr OK, EXIT (gray label) when Z returns inside the Exit band or correlation drops below the floor. Background tint for active state (faint green for long-spread stance, faint red for short-spread stance). The two built-in dashboards Statistics Table (top-right) Pair Symbol Your chosen partner. Correlation Live value vs. your minimum. Z-Score How stretched the spread is now. Current / Pair Prices Real-time anchors. Signal State NEUTRAL / LONG / SHORT. Price Ratio Context for ratio-style setups. Analysis Table (bottom-right) Avg Correlation Typical co-movement level over your window. Max |Z| The recent extremes of dislocation. Spread Volatility How “lively” the spread has been. Trade Signal A human-readable prompt (e.g., “LONG A / SHORT B” or “NO TRADE” / “LOW CORRELATION”). Risk Level LOW / MEDIUM / HIGH based on current stretch (absolute Z). Signals logic (plain English) Entry (LONG): The spread is unusually negative (chart cheaper vs pair) and correlation is healthy. Expect mean reversion upward in the spread: long chart, short pair. Entry (SHORT): The spread is unusually positive (chart richer vs pair) and correlation is healthy. Expect mean reversion downward in the spread: short chart, long pair. Exit: The spread relaxes back toward normal (inside your exit band), or correlation deteriorates (relationship no longer trusted). A quick, repeatable workflow 1) Choose your pair in context (same sector/theme or known macro link). Think: “Do these two plausibly co-move?” 2) Pick a spread lens that matches your narrative (ratio for relative value, returns for short-term performance gaps, etc.). 3) Confirm correlation is above your floor no corr, no trade. 4) Wait for a stretch (Z beyond Entry band) and a printed LONG / SHORT . 5) Manage to the mean (EXIT band) or correlation failure; let the scanners’ state/labels keep you honest. Settings that matter (and why) Spread Method Defines the “mispricing” you care about. Correlation Period Longer = steadier regime read, shorter = snappier to regime change. Z-Score Period The window that defines “normal” for the spread; it sets the yardstick. Use Percentage Returns Normalizes series when using return-based logic; keep on for mixed-scale assets. Entry / Exit Thresholds Set your stretch and your target reversion zone. Wider entries = rarer but stronger signals. Minimum Correlation The gatekeeper. Raising it favors quality over quantity. Choosing pairs (practical cheat sheet) Same family: two index ETFs, two oil-linked names, two gold miners, two L1 tokens. Hedge & proxy: stock vs. sector ETF, BTC vs. BTC index, WTI vs. energy ETF. Cross-venue or cross-listing: instruments that are functionally the same exposure but price differently intraday. Reading the cues like a pro Divergence shape: The yellow normalized spread helps you see rhythm fast spike and snap-back versus slow grind. Corr-first discipline: Don’t fight the “Min Correlation” line. Good pairs trading starts with a relationship you can trust. Exit humility: When Z re-centers, let the EXIT do its job. The edge is the journey to the mean, not overstaying it. Frequently asked (quick answers) “Long/Short means what exactly?” LONG = long the chart symbol and short the pair symbol. SHORT = short the chart symbol and long the pair symbol. “Do I need same price scales?” No. The spread methods normalize in different ways; choose the one that fits your use case (log/ratio are great for mixed scales). “What if correlation falls mid-trade?” The scanner will neutralize the state and print EXIT . Relationship first; trade second. Field notes & patterns Snap-back days: After a one-sided session, return-difference spreads often flag cleaner intraday mean reversions. Macro rotations: Ratio spreads shine during sector re-weights (e.g., value vs. growth ETFs); look for steady corr + elevated |Z|. Event bleed-through: If one symbol reacts to news and its partner lags, Z often flags a high-quality, short-horizon re-centering. Display controls at a glance Show Statistics Table Live state & key numbers, top-right. Show Analysis Table Context/risk read, bottom-right. Show Correlation / Spread / Z-Score Toggle the sub-charts you want visible. Show Entry/Exit Signals Turn markers on/off as needed. Coloring Adjust Long/Short/Neutral and correlation line colors to match your theme. Alerts (ready to route to your workflow) Pairs Long Entry Z falls through the long threshold with correlation above minimum. Pairs Short Entry Z rises through the short threshold with correlation above minimum. Pairs Trade Exit Z returns to neutral or the relationship fails your correlation floor. Correlation Breakdown Rolling correlation crosses your minimum; relationship caution. Final notes The scanner is designed to keep you systematic: require relationship (correlation), quantify dislocation (Z-Score), act when stretched, stand down when it normalizes or the relationship degrades. It’s a full, visual loop for relative-value trading that stays out of your way when it should and gets loud only when the numbers line up.
Wskaźnik Pine Script®
od BackQuant
Ross-Style Momentum — StudyRoss-Style Momentum — Study This indicator is designed to identify high-probability breakout setups inspired by Ross Cameron’s momentum trading style. It combines multiple filters and confirmations to highlight strong long opportunities, while giving traders full control over visibility and thresholds. Core Features: Price Range Filter: Only signals when price is between a defined min/max range (ideal for small-cap momentum). VWAP Alignment: Ensures trades are biased to the long side only when price is above VWAP (optional). MACD Momentum Check: Requires a fresh MACD bullish crossover within a user-defined lookback. RSI & ATR Filters: Prevents chasing overextended moves (RSI ceiling) and ignores low-volatility tickers (ATR floor). Relative Volume (RVOL): Confirms unusual trading activity with minimum RVOL thresholds. Breakout & Volume Spike: Detects flat-top/base breakouts with volume expansion. Higher Lows Option: Optional requirement for a constructive higher-lows pattern before breakout. Float Filter: User-provided float value to avoid large-float stocks if desired. Visual Tools: Optional VWAP, Base High/Low, and RVOL plots. Long setup markers (green labels under qualifying bars). Background highlight when all conditions align. Real-time dashboard (top-right) showing pass/fail status of each filter. Alerts: Triggers an alert when a full long setup condition is met. This study does not place trades; it is intended as a signal and confirmation tool for discretionary traders who want to visually validate Ross-style momentum breakout conditions.
Wskaźnik Pine Script®
od PaydaySOL
1
ML RSI - imaclone.xUltimate Multi-Resolution RSI Developed by imaclone.x. Last Updated: August 21st 2025 A single indicator that fuses my ML-RSI.ai pipeline with a classic multi-timeframe RSI. One script, dual-resolution oscillators if desired, plus a machine-learning similarity engine and modular signal-processing layers. What it does * Primary RSI augmented with KNN similarity engine (K, lookback, weighting). Feature embeddings include RSI magnitude, RSI momentum, volatility surface, regression slope, and price momentum vectors. * Adaptive smoothing stack: Kalman filter recursion, Double EMA cascades, or ALMA convolution. * Multi-resolution control for the primary oscillator timeframe. * Optional *second* RSI projected from any timeframe for hierarchical confluence. * Advanced visuals: upper/lower thresholds, midline, background regime highlighting, crossovers, and B/S event labels. * Color architectures: None, Trend-Following (50-line bifurcation), or Impulse (band-breach). Optional bar tinting for full-chart context. Inputs (groups) * Timeframe Settings: primary + secondary RSI TF/lengths. * Levels & Visuals: thresholds, highlights, cross events, B/S markers. * RSI Base: smoothing toggle, MA class, ALMA sigma. * KNN Machine Learning: enable, K neighbors, historical window, feature dimensionality, ML weighting. * Advanced Filtering: method + intensity. * Coloring: None, Trend-Following, Impulse. Signals * B flag when ML-RSI crosses upward through the lower threshold. * S flag when ML-RSI crosses downward through the upper threshold. * Secondary RSI = higher-timeframe confirmation, not standalone trigger. Usage notes * Raise ML weight + feature dimensionality for deeper similarity recognition; lower them for classic oscillator behavior. * Kalman recursion delivers adaptive, low-lag smoothing; Double EMA and ALMA yield stronger dampening. * Typical config: intraday primary RSI + higher-TF secondary RSI for regime anchoring. Changelog * v6 merge: Unified CM-style MTF RSI framework with my KNN-enhanced kernel and filter stack. One composite indicator replaces multiple scripts. Credits * MTF band logic inspired by earlier open-source frameworks. * ML kernel and implementation by imaclone.x. Disclaimer For research and algorithmic experimentation only. No signals guaranteed. And please kindly, for the love of God, DYOFR.
Wskaźnik Pine Script®
od imaclone