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M-oscillator

Multi-Filter Momentum OscillatorMulti-Filter Momentum Oscillator Description The Multi-Filter Momentum Oscillator is an advanced technical indicator that leverages multiple moving average filters to identify trend strength, momentum shifts, and potential reversal points in price action. This indicator combines a cluster-based approach with momentum analysis to provide traders with a comprehensive view of market conditions. Key Components Filter Cluster Analysis: The indicator creates an array of moving averages with different periods using your choice of filter (PhiSmoother, EMA, DEMA, TEMA, WMA, or SMA). These filters form a cluster that helps identify the underlying trend direction. Composite Score: The relative positions of these filters are analyzed to generate a net score, which represents the overall trend strength and direction. Signal Line: A smoothed version of the composite score that helps identify momentum shifts. Four-Color Histogram: Visualizes the relationship between the score and signal line with four distinct colors: Bright Green (Bullish Rising): Positive momentum that is accelerating Olive Green (Bullish Falling): Positive momentum that is decelerating Dark Red (Bearish Rising): Negative momentum that is improving Bright Red (Bearish Falling): Negative momentum that is worsening LazyLine Overlay: An additional triple-smoothed WMA that can be displayed on the price chart to visualize the dominant trend. Trading Applications Trend Direction: The oscillator's position above or below zero indicates the prevailing trend direction. Momentum Shifts: The histogram's color changes signal momentum shifts before they become apparent in price. Divergence Detection: Compare oscillator peaks/troughs with price action to identify potential divergences. Overbought/Oversold Conditions: Extreme readings near the upper and lower threshold levels can indicate potential reversal zones. Trend Confirmation: The LazyLine overlay confirms the broader trend direction on the price chart. Customization Options The indicator offers extensive customization through multiple parameters: Filter type selection (PhiSmoother, EMA, DEMA, TEMA, WMA, SMA) Cluster dispersion and trim settings Post-smoothing options Signal line parameters Threshold levels Color preferences for various elements Histogram width and visibility Optional swing signals with customizable placement Modes Trend Strength Mode: Focuses on the directional movement of the filter cluster. Volatility Mode: Weights the score based on the bandwidth of the filter cluster, making it more responsive during volatile periods. This versatile oscillator combines elements of trend following, momentum analysis, and volatility assessment to provide traders with actionable signals across different market conditions. The four-color histogram adds another dimension to traditional oscillator analysis by visually representing both the direction and strength of momentum shifts.
Wskaźnik Pine Script™
od Sniper_K98
RSI, CCI & ADX CompositeThe RSI and CCI signals are simplified—if the RSI is above 50 it’s counted as bullish, if below it’s bearish; similarly, if the CCI is above 0 it’s bullish, below 0 it’s bearish. • The ADX is calculated manually and used as a filter. When ADX isn’t strong (below a user‑defined threshold) the composite signal simply reads “No Clear Trend.” A composite signal is then built from the two signals (RSI + CCI) and interpreted as “Strong Bullish,” “Bullish,” “Neutral,” “Bearish,” or “Strong Bearish.” In addition to simple plots of the individual indicators, a table is displayed in the top‑right corner showing numeric values (RSI, CCI, and ADX) as well as the composite signal text.
Wskaźnik Pine Script™
od claygrace74
Normalised Price Crossover - MACD but TickersEver noticed two different tickers are correlated yet have different lags? Ever find one ticker moves first and when the other finally goes to catch up, the first one has already reversed? So I thought to myself, would be wicked if I took the faster one and made it into a 'Signal Line' and the slow one and made it into a 'Slow Line' almost like a MACD if you will. So that's what I did, I took the price charts of the tickers and I normalised the price data so they could actually cross, plotted it and sat back to see it generate signals, lo and behold! Pretty neat, though I'd advise to use spreads and such for the different tickers to really feel the power of the indicator, works well when you use formulas that model actual mechanisms instead of arbitrary price data of different assets as correlation =/= causation. Enjoy.
Wskaźnik Pine Script™
od D_dot_ZK
Relative Vigor Index (RVI) with EMD [AIBitcoinTrend]👽 Adaptive Relative Vigor Index with EMD & Signals (AIBitcoinTrend) The Adaptive Relative Vigor Index (RVI) with Empirical Mode Decomposition (EMD) is an enhanced version of the traditional RVI, designed to improve signal clarity and responsiveness to market conditions. By integrating EMD smoothing and adaptive volatility-based trailing stops. 👽 What Makes the Adaptive RVI with EMD Unique? Unlike the standard RVI, which often lags in volatile markets, this version refines price momentum detection by applying Empirical Mode Decomposition (EMD), effectively filtering out noise. Additionally, it features ATR-based trailing stops for precise trade execution. Key Features: EMD-Enhanced RVI – Filters out short-term noise, improving signal accuracy. Crossover & Crossunder Signals – Generates trade signals based on RVI trends. ATR-Based Trailing Stop – Adjusts dynamically based on volatility for optimal risk management. 👽 The Math Behind the Indicator 👾 RVI Calculation with EMD Smoothing The Relative Vigor Index (RVI) measures trend strength by comparing the relationship between closing and opening prices, relative to the high-low range. Traditional RVI uses fixed smoothing, whereas this version applies Empirical Mode Decomposition (EMD) to extract dominant price cycles and improve trend clarity. How It Works: The RVI is initially calculated using a weighted moving average (WMA) over a specified period. EMD refines the RVI signal by removing high-frequency noise, creating a smoothed RVI component. This results in a more stable and reliable trend indicator. 👽 How Traders Can Use This Indicator 👾 Trailing Stop & Signal-Based Trading Bullish Setup: ✅ RVI crosses above EMD → Buy signal. ✅ A bullish trailing stop is placed at low - ATR × Multiplier. ✅ Exit if price crosses below the stop. Bearish Setup: ✅ RVI crosses below EMD → Sell signal. ✅ A bearish trailing stop is placed at high + ATR × Multiplier. ✅ Exit if price crosses above the stop. 👾 Detecting Overbought & Oversold Areas This indicator helps traders identify potential reversal zones by highlighting overbought and oversold conditions. Overbought Zone: When RVI moves above 0.4, the market may be overextended, signaling a potential reversal downward. Oversold Zone: When RVI moves below -0.4, the market may be undervalued, suggesting a possible upward reversal. Using these levels, traders can confirm entry and exit points alongside divergence signals for higher probability trades. 👽 Why It’s Useful for Traders EMD-Based Signal Enhancement: Filters out noise, refining momentum signals. Adaptive ATR-Based Risk Management: Automatically adjusts stop-loss levels to market conditions. Works Across Multiple Markets & Timeframes: Effective for stocks, forex, crypto, and futures trading. 👽 Indicator Settings RVI Length – Defines the period for calculating the Relative Vigor Index. EMD Period – Controls the level of EMD smoothing applied. Final Smoothing – Adjusts the degree of additional signal filtering. Lookback Period – Determines how many bars are used for detecting pivot points. Enable Trailing Stop – Activates dynamic ATR-based trailing stops. ATR Multiplier – Adjusts the stop-loss sensitivity. Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Wskaźnik Pine Script™
od aibitcointrend
Pure CocaPure Coca - Trend & Mean Reversion Indicator Overview The Pure Coca indicator is a trend and mean reversion analysis tool designed for identifying dynamic shifts in market behavior. By leveraging Z-score calculations, this indicator captures both trend-following and mean-reverting periods, making it useful for a wide range of trading strategies. What It Does 📉 Detects Overbought & Oversold Conditions using a Z-score framework. 🎯 Identifies Trend vs. Mean Reversion Phases by analyzing the deviation of price from its historical average. 📊 Customizable Moving Averages (EMA, SMA, VWMA, etc.) for smoothing Z-score calculations. 🔄 Adaptable to Any Timeframe – Default settings are optimized for 2D charts but can be adjusted to suit different market conditions. How It Works Computes a Z-score of price movements, normalized over a lookback period. Plots upper and lower boundaries to visualize extreme price movements. Dynamic Midlines adjust entry and exit conditions based on market shifts. Background & Bar Coloring help traders quickly identify trading opportunities. Key Features & Inputs ✔ Lookback Period: Adjustable period for calculating Z-score. ✔ Custom MA Smoothing: Choose from EMA, SMA, WMA, VWAP, and more. ✔ Z-Score Thresholds: Set upper and lower bounds to define overbought/oversold conditions. ✔ Trend vs. Mean Reversion Mode: Enables traders to spot momentum shifts in real-time. ✔ Bar Coloring & Background Highlights: Enhances visual clarity for decision-making. How to Use It Trend Trading: Enter when the Z-score crosses key levels (upper/lower boundary). Mean Reversion: Look for reversals when price returns to the midline. Custom Optimization: Adjust lookback periods and MA types based on market conditions. Why It's Unique ✅ Combines Trend & Mean Reversion Analysis in one indicator. ✅ Flexible Z-score settings & MA choices for enhanced adaptability. ✅ Clear visual representation of market extremes. Final Notes This indicator is best suited for discretionary traders, quantitative analysts, and systematic traders looking for data-driven market insights. As with any trading tool, use in conjunction with other analysis methods for optimal results.
Wskaźnik Pine Script™
od La_Von
3
Advanced RSI Cyclic (AcRSI)Advanced RSI Cyclic (cRSI) Overview The Advanced RSI Cyclic (cRSI) Indicator is a sophisticated momentum oscillator designed for TradingView, enhancing the traditional Relative Strength Index (RSI) with cyclic adjustments, advanced smoothing techniques, and dynamic bands. It aims to identify overbought/oversold conditions, trend reversals, and divergences in price action, making it ideal for traders targeting cyclic market movements. Features Kalman Filter Smoothing: Applies a Kalman filter to the closing price for noise reduction. Cyclic RSI (cRSI): Adjusts traditional RSI with cyclic parameters and centers it around zero (-50 to +50). Phi Smoothing: Uses a phi filter to smooth the cRSI, highlighting longer-term trends. Dynamic Bands: Generates adaptive upper and lower bands based on historical volatility. Signals: Provides buy/sell signals and divergence detection for potential reversals. Visual Customization: Offers color-coded fills and adjustable transparency for bullish/bearish conditions. How to Use Interpreting the Indicator Fast cRSI (Green Line): Represents the short-term, zero-lag smoothed cRSI. It reacts quickly to price changes. Slow cRSI (Red Line): The phi-smoothed cRSI, showing longer-term momentum trends. Dynamic Bands (Aqua Lines): Indicate overbought (upper band) and oversold (lower band) levels dynamically adjusted to market conditions. Midline (White Circles): The midpoint between the bands, serving as a neutral reference. Fill Colors: Green fill between Fast and Slow cRSI suggests bullish momentum. Red fill indicates bearish momentum. Signals: Blue Circles: Buy signals when cRSI crosses above the lower band or threshold. Orange X’s: Sell signals when cRSI crosses below the upper band or threshold. Divergences (optional): Enable to spot regular and hidden bullish/bearish divergences between price and cRSI. Key Inputs and Customization The indicator offers several adjustable parameters under the "Inputs" tab: General Settings Dominant Cycle Length (default: 20): Adjusts the cyclic period for RSI calculation. Increase for longer cycles, decrease for shorter ones. Phi Filter Length (default: 20): Controls the smoothing period of the phi filter. Phi Filter Speed (default: 3.7): Adjusts the responsiveness of the phi filter. Higher values increase sensitivity. Pre-Smoothing Ratio (default: 0.7): Balances pre-smoothing in the phi filter (0.5–1.0). Smoothing Length (default: 20): Sets the period for the SuperSmoother filter on the oscillator. Threshold (default: 1): Defines the level for generating buy/sell signals. Visualization Colors Bullish/Bearish Fill Colors: Customize the fill colors for bullish (green) and bearish (red) conditions. Fill Transparency: Adjusts opacity (0–100%) of the fill between Fast and Slow cRSI. Divergence Colors: Modify colors for bullish (green) and bearish (red) divergence signals. Divergence Settings Enable Divergences (default: false): Toggle to display divergence signals. Pivot Lookback Left/Right (default: 5): Sets the lookback period for detecting pivots. Max/Min Lookback Range (default: 60/5): Defines the range for divergence detection. Trading Strategies Overbought/Oversold: Buy when Fast cRSI crosses above the lower band and Slow cRSI confirms upward movement. Sell when Fast cRSI crosses below the upper band and Slow cRSI confirms downward movement. Trend Confirmation: Use the fill color (green for bullish, red for bearish) to confirm trend direction. Reversal Signals: Look for buy signals (blue circles) below the threshold or sell signals (orange X’s) above the threshold. Divergence Trading: Enable divergences to identify potential reversals when price and cRSI diverge. Notes Timeframe: Works on all timeframes, but adjust the Dominant Cycle Length to match the chart’s periodicity (e.g., shorter for intraday, longer for daily). Confirmation: Combine with price action or other indicators (e.g., moving averages) for stronger signals. Performance: Test on historical data to optimize settings for your specific market or asset. Limitations May lag in fast-moving markets due to smoothing filters. Dynamic bands adapt slowly in extreme volatility; monitor for false signals. Divergence detection requires sufficient historical data for accuracy.
Wskaźnik Pine Script™
od TEDCORP2
Market Structured OscillatorThis indicator is meant to act as an oscillator that'll help you follow market structure while using Williams %R calculations. It uses pivots hl indicator (built into tradingview, free) to determine the highs and lows. It is fully customizable to help tailor the number of pivots that you use while trading. Great for identifying divergences and true highs/lows. You can use it to help identify and analyze current price and market conditions or as an added confluence to your strategy.
Wskaźnik Pine Script™
od IndicatorCraft
Market Participation Index [PhenLabs]📊 Market Participation Index Version: PineScript™ v6 📌 Description Market Participation Index is a well-evolved statistical oscillator that constantly learns to develop by adapting to changing market behavior through the intricate mathematical modeling process. MPI combines different statistical approaches and Bayes’ probability theory of analysis to provide extensive insight into market participation and building momentum. MPI combines diverse statistical thinking principles of physics and information and marries them for subtle changes to occur in markets, levels to become influential as important price targets, and pattern divergences to unveil before it is visible by analytical methods in an old-fashioned methodology. 🚀 Points of Innovation: Automatic market condition detection system with intelligent preset selection Multi-statistical approach combining classical and advanced metrics Fractal-based divergence system with quality scoring Adaptive threshold calculation using statistical properties of current market 🚨 Important🚨 The ‘Auto’ mode intelligently selects the optimal preset based on real-time market conditions, if the visualization does not appear to the best of your liking then select the option in parenthesis next to the auto mode on the label in the oscillator in the settings panel. 🔧 Core Components Statistical Foundation: Multiple statistical measures combined with weighted approach Market Condition Analysis: Real-time detection of market states (trending, ranging, volatile) Change Point Detection: Bayesian analysis for finding significant market structure shifts Divergence System: Fractal-based pattern detection with quality assessment Adaptive Visualization: Dynamic color schemes with context-appropriate settings 🔥 Key Features The indicator provides comprehensive market analysis through: Multi-statistical Oscillator: Combines Z-score, MAD, and fractal dimensions Advanced Statistical Components: Includes skewness, kurtosis, and entropy analysis Auto-preset System: Automatically selects optimal settings for current conditions Fractal Divergence Analysis: Detects and grades quality of divergence patterns Adaptive Thresholds: Dynamically adjusts overbought/oversold levels 🎨 Visualization Color-coded Oscillator: Gradient-filled oscillator line showing intensity Divergence Markings: Clear visualization of bullish and bearish divergences Threshold Lines: Dynamic or fixed overbought/oversold levels Preset Information: On-chart display of current market conditions Multiple Color Schemes: Modern, Classic, Monochrome, and Neon themes Classic Modern Monochrome Neon 📖 Usage Guidelines The indicator offers several customization options: Market Condition Settings: Preset Mode: Choose between Auto-detection or specific market condition presets Color Theme: Select visual theme matching your chart style Divergence Labels: Choose whether or not you’d like to see the divergence ✅ Best Use Cases: Identify potential market reversals through statistical divergences Detect changes in market structure before price confirmation Filter trades based on current market condition (trending vs. ranging) Find optimal entry and exit points using adaptive thresholds Monitor shifts in market participation and momentum ⚠️ Limitations Requires sufficient historical data for accurate statistical analysis Auto-detection may lag during rapid market condition changes Advanced statistical calculations have higher computational requirements Manual preset selection may be required in certain transitional markets 💡 What Makes This Unique Statistical Depth: Goes beyond traditional indicators with advanced statistical measures Adaptive Intelligence: Automatically adjusts to current market conditions Bayesian Analysis: Identifies statistically significant change points in market structure Multi-factor Approach: Combines multiple statistical dimensions for confirmation Fractal Divergence System: More robust than traditional divergence detection methods 🔬 How It Works The indicator processes market data through four main components: Market Condition Analysis: Evaluates trend strength, volatility, and price patterns Automatically selects optimal preset parameters Adapts sensitivity based on current conditions Statistical Oscillator: Combines multiple statistical measures with weights Normalizes values to consistent scale Applies adaptive smoothing Advanced Statistical Analysis: Calculates higher-order statistical moments Applies information-theoretic measures Detects distribution anomalies Divergence Detection: Uses fractal theory to identify pivot points Detects and scores divergence quality Filters signals based on current market phase 💡 Note: The Market Participation Index performs optimally when used across multiple timeframes for confirmation. Its statistical foundation makes it particularly valuable during market transitions and periods of changing volatility, where traditional indicators often fail to provide clear signals.
Wskaźnik Pine Script™
od PhenLabs
Bollinger Bands MTF & Kalman Filter | Flux Charts📈 Multi-Timeframe Kalman Filtered Bollinger Bands Indicator Introducing our MTF Kalman Filtered Bollinger Bands – a powerful multi-timeframe Bollinger Bands (BB) indicator enhanced with Kalman filtering for superior smoothing and trend analysis. This indicator dynamically adapts Bollinger Bands across multiple timeframes while incorporating volume-based gradient transparency to highlight significant price movements. This indicator is better optimized for lower timeframes. ❓ How to Interpret the Bands & Volume Gradient: Our indicator combines Lower Timeframe (LTF) and Higher Timeframe (HTF) Bollinger Bands to provide a comprehensive trend analysis. It applies Kalman filtering to the LTF bands, ensuring smoother, noise-reduced signals. The color gradient and relative volume-based transparency offer deeper insights into price strength. 🔹 LTF Bollinger Bands: Shorter-period bands filtered with a Kalman smoothing algorithm, reducing lag and noise. 🔹 HTF Bollinger Bands: Traditional Bollinger Bands plotted on a higher timeframe, offering macro trend analysis. 🔹 Volume Gradient Transparency: The bands adjust their opacity based on relative buy/sell volume, allowing traders to assess momentum strength. 📌 How Does It Work? 1️⃣ Multi-Timeframe Bollinger Bands Calculation The LTF BB uses Kalman filtering for a smoother price representation, helping to reduce false signals. The HTF BB is EMA-smoothed for improved trend clarity. 2️⃣ Adaptive Gradient Transparency The opacity of the fill color between the bands is determined by relative buy/sell volume. Higher buy volume = stronger bullish signal (greener bands). Higher sell volume = stronger bearish signal (redder bands). 3️⃣ Dynamic Trend Signals & Breakouts Buy Signal: When price breaks below the HTF lower band and LTF bands start rising. Sell Signal: When price breaks above the HTF upper band and LTF bands start falling. ⚙️ Settings & Customization: 🛠 LTF and HTF Bollinger Bands Settings: Multiplier: The multiplier applied to the BB to determine the upper and lower bands Length: Define the number of bars determines the BB calculations. Custom Timeframe Selection: Choose from predefined options (e.g., 5m, 15m, 1H, 4H, etc). 🎨 Gradient & Transparency Settings: Bullish/Bearish Color Options: Customize colors for uptrend and downtrend conditions. Max & Min Opacity: Adjust the transparency levels based on volume intensity. Solid vs. Gradient Mode: Choose between a gradient fill or a solid color mode for clarity. 📌 Recommended Settings for Optimal Use: 1️⃣ Timeframe Selection (LTF -> HTF): 1 min -> 5 min 2 min -> 5 min 3 min -> 15 min 5 min -> 15 min 15 min -> 1 hr 1 hr -> 4 hr 4 hr -> 1 day 2️⃣ Multiplier: Use 2.0 for LTF and 2.25 for HTF 3️⃣Length: Use a length of 20 - 30 bars 🚀 Why Use This Indicator? ✅ Multi-Timeframe Bollinger Bands with Kalman Filtering – Ideal for traders looking for reduced lag and clearer trend signals. ✅ Volume-Based Transparency – See momentum shifts instantly with adaptive opacity. ✅ Dynamic Buy & Sell Signals – Alerts based on price action + volume trends. ✅ Customizable for Any Strategy – Adjust colors, timeframes, and filtering options for personalized trading.
Wskaźnik Pine Script™
od fluxchart
6
TEMA OBOS Strategy PakunTEMA OBOS Strategy Overview This strategy combines a trend-following approach using the Triple Exponential Moving Average (TEMA) with Overbought/Oversold (OBOS) indicator filtering. By utilizing TEMA crossovers to determine trend direction and OBOS as a filter, it aims to improve entry precision. This strategy can be applied to markets such as Forex, Stocks, and Crypto, and is particularly designed for mid-term timeframes (5-minute to 1-hour charts). Strategy Objectives Identify trend direction using TEMA Use OBOS to filter out overbought/oversold conditions Implement ATR-based dynamic risk management Key Features 1. Trend Analysis Using TEMA Uses crossover of short-term EMA (ema3) and long-term EMA (ema4) to determine entries. ema4 acts as the primary trend filter. 2. Overbought/Oversold (OBOS) Filtering Long Entry Condition: up > down (bullish trend confirmed) Short Entry Condition: up < down (bearish trend confirmed) Reduces unnecessary trades by filtering extreme market conditions. 3. ATR-Based Take Profit (TP) & Stop Loss (SL) Adjustable ATR multiplier for TP/SL Default settings: TP = ATR × 5 SL = ATR × 2 Fully customizable risk parameters. 4. Customizable Parameters TEMA Length (for trend calculation) OBOS Length (for overbought/oversold detection) Take Profit Multiplier Stop Loss Multiplier EMA Display (Enable/Disable TEMA lines) Bar Color Change (Enable/Disable candle coloring) Trading Rules Long Entry (Buy Entry) ema3 crosses above ema4 (Golden Cross) OBOS indicator confirms up > down (bullish trend) Execute a buy position Short Entry (Sell Entry) ema3 crosses below ema4 (Death Cross) OBOS indicator confirms up < down (bearish trend) Execute a sell position Take Profit (TP) Entry Price + (ATR × TP Multiplier) (Default: 5) Stop Loss (SL) Entry Price - (ATR × SL Multiplier) (Default: 2) TP/SL settings are fully customizable to fine-tune risk management. Risk Management Parameters This strategy emphasizes proper position sizing and risk control to balance risk and return. Trading Parameters & Considerations Initial Account Balance: $7,000 (adjustable) Base Currency: USD Order Size: 10,000 USD Pyramiding: 1 Trading Fees: $0.94 per trade Long Position Margin: 50% Short Position Margin: 50% Total Trades (M5 Timeframe): 128 Deep Test Results (2024/11/01 - 2025/02/24)BTCUSD-5M Total P&L：+1638.20USD Max equity drawdown：694.78USD Total trades：128 Profitable trades:44.53 Profit factor:1.45 These settings aim to protect capital while maintaining a balanced risk-reward approach. Visual Support TEMA Lines (Three EMAs) Trend direction is indicated by color changes (Blue/Orange) ema3 (short-term) and ema4 (long-term) crossover signals potential entries OBOS Histogram Green → Strong buying pressure Red → Strong selling pressure Blue → Possible trend reversal Entry & Exit Markers Blue Arrow → Long Entry Signal Red Arrow → Short Entry Signal Take Profit / Stop Loss levels displayed Strategy Improvements & Uniqueness This strategy is based on indicators developed by "l_lonthoff" and "jdmonto0", but has been significantly optimized for better entry accuracy, visual clarity, and risk management. Enhanced Trend Identification with TEMA Detects early trend reversals using ema3 & ema4 crossover Reduces market noise for a smoother trend-following approach Improved OBOS Filtering Prevents excessive trading Reduces unnecessary risk exposure Dynamic Risk Management with ATR-Based TP/SL Not a fixed value → TP/SL adjusts to market volatility Fully customizable ATR multiplier settings (Default: TP = ATR × 5, SL = ATR × 2) Summary The TEMA + OBOS Strategy is a simple yet powerful trading method that integrates trend analysis and oscillators. TEMA for trend identification OBOS for noise reduction & overbought/oversold filtering ATR-based TP/SL settings for dynamic risk management Before using this strategy, ensure thorough backtesting and demo trading to fine-tune parameters according to your trading style.
Strategia Pine Script™
od PakunFX
Adaptive RSI with Real-Time Divergence [AIBitcoinTrend]👽 Adaptive RSI Trailing Stop (AIBitcoinTrend) The Adaptive RSI Trailing Stop is an indicator that integrates Gaussian-weighted RSI calculations with real-time divergence detection and a dynamic ATR-based trailing stop. This advanced approach allows traders to monitor momentum shifts, identify divergences early, and manage risk with adaptive trailing stop levels that adjust to price action. 👽 What Makes the Adaptive RSI with Signals and Trailing Stop Unique? Unlike traditional RSI indicators, this version applies a Gaussian-weighted smoothing algorithm, making it more responsive to price action while reducing noise. Additionally, the trailing stop feature dynamically adjusts based on volatility and trend conditions, allowing traders to: Detects real-time divergences (bullish/bearish) with a smart pivot-based system. Filter noise with Gaussian weighting, ensuring smoother RSI transitions. Utilize crossover-based trailing stop activation, for systematic trade management. 👽 The Math Behind the Indicator 👾 Gaussian Weighted RSI Calculation Traditional RSI calculations rely on simple averages of gains and losses. Instead, this indicator weights recent price changes using a Gaussian distribution, prioritizing more relevant data points while maintaining smooth transitions. Key Features: Exponential decay ensures recent price changes are weighted more heavily. Reduces short-term noise while maintaining responsiveness. 👾 Real-Time Divergence Detection The indicator detects bullish and bearish divergences using pivot points on RSI compared to price action. 👾 Dynamic ATR-Based Trailing Stop Bullish Trailing Stop: Activates when RSI crosses above 20 and dynamically adjusts based on low - ATR multiplier. Bearish Trailing Stop: Activates when RSI crosses below 80 and adjusts based on high + ATR multiplier This allows traders to: Lock in profits systematically by adjusting stop-losses dynamically. Stay in trades longer while maintaining adaptive risk management. 👽 How It Adapts to Market Movements ✔️ Gaussian Filtering ensures smooth RSI transitions while preventing excessive lag. ✔️ Real-Time Divergence Alerts provide early trade signals based on price-RSI discrepancies. ✔️ ATR Trailing Stop dynamically expands or contracts based on market volatility. ✔️ Crossover-Based Activation enables the stop-loss system only when RSI confirms a momentum shift. 👽 How Traders Can Use This Indicator 👾 Divergence Trading Traders can use real-time divergence detection to anticipate reversals before they happen. Bullish Divergence Setup: Look for RSI making a higher low, while price makes a lower low. Enter long when RSI confirms upward momentum. Bearish Divergence Setup: Look for RSI making a lower high, while price makes a higher high. Enter short when RSI confirms downward momentum. 👾 Trailing Stop Signals Bullish Signal and Trailing Stop Activation: When RSI crosses above 20, a trailing stop is placed using low - ATR multiplier. If price crosses below the stop, it exits the trade and removes the stop. Bearish Signal and Trailing Stop Activation: When RSI crosses below 80, a trailing stop is placed using high + ATR multiplier. If price crosses above the stop, it exits the trade and removes the stop. This makes trend-following strategies more efficient, while ensuring proper risk management. 👽 Why It’s Useful for Traders ✔️ Dynamic and Adaptive: Adjusts to changing market conditions automatically. ✔️ Noise Reduction: Gaussian-weighted RSI reduces short-term price distortions. ✔️ Comprehensive Strategy Tool: Combines momentum detection, divergence analysis, and automated risk management into a single indicator. ✔️ Works Across Markets & Timeframes: Suitable for stocks, forex, crypto, and futures trading. 👽 Indicator Settings RSI Length: Defines the lookback period for RSI smoothing. Gaussian Sigma: Controls how much weight is given to recent data points. Enable Signal Line: Option to display an RSI-based moving average. Divergence Lookback: Configures how far back pivot points are detected. Crossover/crossunder values for signals: Set the crossover/crossunder values that triggers signals. ATR Multiplier: Adjusts trailing stop sensitivity to market volatility. Disclaimer: This indicator is designed for educational purposes and does not constitute financial advice. Please consult a qualified financial advisor before making investment decisions.
Wskaźnik Pine Script™
od aibitcointrend
1
Weighted Relative Strength Index [SeerQuant]Weighted Relative Strength Index (WRSI) The Weighted Relative Strength Index (WRSI) is an advanced momentum oscillator that enhances the traditional RSI by incorporating customizable weighting methods and moving average smoothing. With dynamic threshold logic, color-coded visuals, and optional candle coloring, the WRSI provides traders with a versatile tool for identifying trends, overbought/oversold conditions, and momentum shifts. ⚙️ How It Works 1. Weighted Momentum Calculation The indicator calculates price changes (delta) and applies a user-defined weighting method (e.g., Volume, Momentum, Volatility, or Reversion Factor) to emphasize specific market dynamics. 2. Custom Moving Average Integration Weighted upward and downward price movements are smoothed using a selectable moving average type (e.g., SMA, EMA, TEMA, etc.), producing a weighted RSI that blends momentum and trend data. 3. Smoothed RSI Output An additional moving average is applied to the weighted RSI for a smoothed version, offering a clearer view of momentum trends. 4. Threshold Logic Bullish (Uptrend): WRSI exceeds the upper neutral zone boundary (50 + Neutral Zone). Bearish (Downtrend): WRSI falls below the lower neutral zone boundary (50 - Neutral Zone). Neutral: WRSI remains within the neutral zone. Extreme overbought (90+) and oversold (20-) levels are marked with X’s for quick identification. 5. Dynamic Visual Representation A color-coded line reflects the WRSI, adjusting hues based on trend direction. Gradient fills highlight overbought/oversold zones and neutral areas. Optional candle coloring ties price action to WRSI or smoothed RSI values. A histogram-style fill between the WRSI and midline enhances trend strength visibility. ✨ Customizable Settings Calculation Settings: Calculation Source: Select the price source (default: close). Calculation Length: Set the lookback period for RSI calculation (default: 14). Moving Average Type: Choose from SMA, EMA, RMA, WMA, VWMA, LSMA, HMA, ALMA, DEMA, or TEMA (default: RMA). Moving Average Length: Adjust the smoothing period for the weighted RSI (default: 8). Neutral Zone Range: Define the width of the neutral zone around the midline (default: 5). RSI Weighting Method: Volume: Weights by trading volume. Momentum: Weights by absolute price momentum. Volatility: Weights by standard deviation. Reversion Factor: Weights inversely to variance for mean-reversion emphasis (default: Momentum). Style Settings: Colour Choice: Pick from predefined schemes: Default, Modern, Cool, or Monochrome (default: Default). Use Custom Colors?: Toggle to use custom bull, bear, and neutral colors (default: false). Bull/Bear/Neutral Colors: Set custom colors when enabled (default: green/red/gray). Candle Color Mode: Color candles based on WRSI or smoothed RSI (default: RSI). Color Candles?: Enable/disable candle coloring (default: false). 🚀 Features and Benefits Weighted Momentum Analysis: Enhances RSI with dynamic weighting for deeper market insights. Flexible Smoothing: Multiple MA types and adjustable lengths adapt to various trading styles. Visual Intuition: Color-coded outputs, gradient fills, and optional candle coloring simplify trend analysis. Customizable Thresholds: Neutral zone and extreme levels cater to individual strategies. Overbought/Oversold Signals: Clear markers for extreme conditions improve decision-making. 📜 Disclaimer This indicator is for educational purposes only and does not constitute financial advice. Past performance does not guarantee future results. Always consult a licensed financial advisor before making trading decisions. Use at your own risk.
Wskaźnik Pine Script™
od SeerQuant
3
AntoQQE - HistogramThis script displays a QQE-based momentum histogram, derived from the RSI line’s deviation around a neutral 50 level. It uses a smoothed RSI, monitors volatility with a dynamically adjusted multiplier, and then plots a color-coded histogram that helps traders see when the RSI is entering strong bullish or bearish territory: • Smoothed RSI Calculation The script calculates RSI for a user-defined period and then smooths it with an EMA. This reduces noise in the indicator’s readings. • Dynamic Average Range (DAR) The script computes volatility by taking the absolute change of the smoothed RSI, applying two EMAs, and multiplying by a QQE factor. This produces a band around the RSI that adapts to changes in market volatility. • Histogram Centering and Thresholds Rather than plotting the RSI itself, the script subtracts 50 from the RSI to center it around zero. Columns are plotted for each bar: Blue when momentum is significantly above zero (over a threshold value). Red when momentum is significantly below zero (under a negative threshold). Gray when momentum is within a neutral range. • Usage By observing when columns turn blue or red—and how far they extend above or below zero—traders can quickly gauge the market’s momentum. The horizontal threshold lines (dashed by default) provide clear breakout levels for bullish or bearish conditions, which can help confirm entries or exits based on shifting market sentiment. It is best paired with the AntoQQE - Bars indicator for better chart visualization.
Wskaźnik Pine Script™
od TheShan_Son
AntoQQE - BarsThis script is a variation on the QQE (Quantitative Qualitative Estimation) concept applied to RSI. It calculates a smoothed RSI line, then determines a “Dynamic Average Range” around that line. By tracking the RSI’s movement relative to these upper (shortBand) and lower (longBand) levels, it determines when price momentum shifts enough to suggest a possible trend flip. The script plots color-coded candles based on these momentum conditions: • RSI Calculation and Smoothing An RSI value is obtained over a specified period, then smoothed by an EMA. This smoothed RSI serves as the core measure of momentum. • Dynamic Average Range (DAR) The script computes the volatility of the smoothed RSI using two EMAs of its bar-to-bar movements. It multiplies this volatility factor by a QQE multiplier to create upper and lower bands that adapt to changes in RSI volatility. • Trend Flips When the smoothed RSI crosses above or below its previous band level (shortBand or longBand), the script interprets this as a shift in momentum and sets a trend state accordingly (long or short). • Candle Coloring Finally, the script colors each candle according to how far the smoothed RSI is from a neutral baseline of 50: Candles turn green when the RSI is sufficiently above 50, suggesting bullish momentum. Candles turn red when the RSI is sufficiently below 50, indicating bearish momentum. Candles turn orange when they are near the 50 level, reflecting a more neutral or transitional phase. Traders can use these colored candles to quickly see when the RSI’s momentum has moved into overbought/oversold zones—or is shifting between bullish and bearish conditions—without needing to consult a separate oscillator window. The adaptive nature of the band calculations can help in spotting significant shifts in market sentiment and volatility.
Wskaźnik Pine Script™
od TheShan_Son
Pearson OscillatorThe Pearson Oscillator is a custom TradingView indicator that leverages statistical correlation analysis to gauge the trend strength of a given price series. By calculating the Pearson correlation coefficient between time (as an index) and price over a user-defined period, the indicator provides traders with an insight into how strongly the market is trending or oscillating. ────────────────────────────── Key Features - User-Defined Parameters:  – Set the calculation length, price source, and smoothing period.  – Adjust upper and lower threshold levels to suit your trading strategy.  – Customize color settings for increasing, decreasing, and neutral conditions. - Dynamic Trend Analysis:  – Computes the Pearson correlation coefficient to measure the relationship between time and price.  – Applies a simple moving average to smooth out fluctuations in the coefficient, offering a more stable reading. - Visual Representation:  – Plots the smoothed Pearson coefficient as a continuous line.  – Displays a histogram showing the variation (first derivative) of the coefficient to highlight changes in trend strength.  – Draws horizontal reference lines at the specified upper and lower thresholds as well as at the zero level for quick visual assessment. - Alerts and Dynamic Labeling:  – Automatically triggers alerts when the smoothed Pearson coefficient crosses the predefined threshold levels, so you never miss a potential market turning point.  – Generates a dynamic label on the last bar that displays important statistical information, including:   - The current Pearson coefficient (rounded to three decimals).   - A classification of correlation strength (e.g., STRONG, MEDIUM, WEAK, NEUTRAL) based on the absolute value of the coefficient.   - The trend direction (Upward, Downward, or Stable).   - The delta of the coefficient, offering insight into how quickly the trend is evolving. ────────────────────────────── How It Works 1. Calculation of the Pearson Coefficient:  - A custom function iterates over a specified number of price bars, summing time indices, price values, and their squared and cross-products.  - Using the Pearson correlation formula, it computes a coefficient that ranges between -1 and 1—values close to ±1 indicate a strong trend or linear relationship, while values near 0 suggest a weak or non-existent trend. 2. Smoothing Process:  - The raw Pearson coefficient is then smoothed using a simple moving average (SMA) to reduce noise and provide a clearer view of the underlying trend. 3. Delta (Variation) Computation:  - The script calculates the change (delta) between the current smoothed coefficient and its value on the previous bar.  - This derivative is plotted as a histogram, signaling the speed at which the correlation (and thus the trend) is changing. 4. Visual and Alert Mechanisms:  - The smoothed coefficient and its delta are plotted with colors that dynamically update to reflect increasing or decreasing trends.  - Horizontal lines set at user-defined thresholds help to quickly identify overbought or oversold (or extreme correlation) scenarios.  - Alerts are defined to notify you when the smoothed coefficient crosses these key levels, ensuring timely trade decisions. 5. Dynamic Label:  - At the last bar, a dynamic label is created displaying the current Pearson value, its strength, the direction of the trend, and the delta.  - This quick snapshot helps traders assess the market condition at a glance without diving into detailed analysis. ────────────────────────────── Why Use the Pearson Oscillator? This indicator is particularly useful for traders who need a quantitative measure of trend strength that goes beyond traditional moving averages. By integrating statistical correlation directly into market analysis, the Pearson Oscillator helps you:  - Identify periods of strong trending behavior or potential reversals.  - Enhance your risk management through early alerts.  - Visualize the rate of change in market sentiment, enabling more informed entry and exit decisions. Whether you are a technical analyst or a systematic trader, this indicator provides a robust tool to complement your existing trading toolkit. ────────────────────────────── The Pearson Oscillator merges statistical insights with technical charting, creating an intuitive yet powerful tool for market analysis. With its adjustable parameters, visual cues, dynamic labeling, and automated alerts, it assists traders in monitoring and responding to evolving market conditions efficiently. This makes it a valuable addition to any TradingView chart, particularly for those looking to quantify the strength and evolution of market trends. Feel free to adapt the parameters and visual settings to best align the indicator with your trading strategy. Happy trading!
Wskaźnik Pine Script™
od s47marsac
Astro: Moon SizeThe Astro: Moon Size indicator, built using AstroLib , calculates the distance and visualizes the apparent size of the Moon based on astronomical positioning. This script is tailored for the 1D timeframe and provides insights into lunar perigees (closest approach) and apogees (farthest distance), making it useful for astrologically-informed trading strategies. New Astro Indicators Feature: By setting the Julian Date to X number of days in the future, and offsetting the plot by X number of bars accordingly, it is now possible to visualize future projections of TradingView indicators that reference the AstroLib . This feature has been long requested and is far overdue, so thank you to everyone who pushed for this feature release. Enjoy, time travelers from the future!! Key Features: Moon Size Calculation: Uses Julian Date (J2000) conversion and AstroLib functions to determine the Moon's apparent distance. Future Projection: Displays the Moon's distance from 28 up to 500 days ahead, with color gradients indicating proximity/size. Pivot Identification: Marks local maxima (apogees) and minima (perigees) with labeled date stamps for easy reference. Dynamic Labeling: Adapts label positioning and size based on the Moon's current trend and relative size. Usage Notes: ⚠️ Timeframe Restriction: For now, the script only functions on the 1D timeframe and will prompt an error otherwise. ⚠️ Asset Restriction: This script is meant to be loaded on charts for assets that trade 24/7, like BTCUSD historical index.
Wskaźnik Pine Script™
od BarefootJoey
4
Trend Detector [victhoreb]Trend Detector is a streamlined indicator that uses the Pearson correlation coefficient between the average price and time to determine market trends. It measures how closely price movement follows the progression of time over a user-defined period, providing a clear gauge of trend direction on a scale from -1 to 1. How It Works: The indicator calculates the correlation between price and time. A positive correlation means that as time advances, the price generally rises—signaling an uptrend. Conversely, a negative correlation indicates that the price tends to fall over time, highlighting a downtrend. With its simple yet effective approach, Trend Detector offers traders an immediate visual and quantitative insight into prevailing market trends.
Wskaźnik Pine Script™
od victhoreb
RSI Trend Bias█  OVERVIEW The RSI Trend Bias indicator is a custom technical analysis tool that utilizes the Relative Strength Index (RSI) to gauge market momentum and identify potential trend shifts. By monitoring RSI crossovers and crossunders relative to customizable threshold levels, the indicator provides clear visual cues that distinguish between bullish and bearish market conditions. This flexible approach makes it suitable for both short-term scalping and longer-term trend analysis. █  KEY FEATURES Dynamic RSI Trend Detection The indicator dynamically determines market bias by monitoring the RSI for crossovers above the upper threshold and crossunders below the lower threshold. This method ensures that only significant momentum shifts trigger a change in trend, reducing false signals in volatile markets. Adaptive Visualizations The RSI Trend Bias indicator enhances clarity by plotting the RSI with colors that reflect current market conditions. Additionally, it offers an optional background color change to further emphasize bullish or bearish states, providing immediate visual feedback to traders. Clear Threshold Indicators Upper and lower threshold levels are plotted as constant reference lines, clearly delineating overbought and oversold regions. These markers help traders quickly assess market conditions at a glance. Customizable Settings Users have full control over key parameters including the RSI length, threshold levels, and visual settings. This customization allows the indicator to be tailored for different markets and trading styles, ensuring optimal performance across various timeframes. █  UNDERLYING METHODOLOGY & CALCULATIONS RSI Calculation The indicator computes the Relative Strength Index over a user-defined period (default is 14), providing a measure of market momentum that reflects price changes over time. Trend Determination Logic By detecting when the RSI crosses above the upper threshold, the indicator signals a shift towards bullish momentum. Conversely, a crossunder below the lower threshold indicates bearish conditions. This straightforward binary approach filters out minor fluctuations, ensuring clarity in trend analysis. Visual Signal Integration Based on the detected trend, the RSI line is dynamically colored—green for bullish conditions and red for bearish conditions. An optional background color change further reinforces these signals, offering an immediate visual cue of prevailing market sentiment. █  HOW TO USE THE INDICATOR 1 — Apply the Indicator  • Add the RSI Trend Bias indicator to a separate pane in your trading platform. 2 — Adjust Settings for Your Market  • RSI Length – Define the period for RSI calculation (default is 14).  • Threshold Levels – Set the upper (default 70) and lower (default 30) thresholds to identify overbought and oversold conditions.  • Visual Customization – Choose the bullish (green) and bearish (red) colors, and enable background color changes to enhance visual trend recognition. 3 — Interpret the Signals  • RSI Line – Observe the dynamically colored RSI line; a shift to green signals bullish momentum, while red indicates bearish conditions.  • Threshold Levels – Use the constant upper and lower lines as reference points for overbought and oversold states.  • Signal Timing – A crossover above the upper threshold or a crossunder below the lower threshold suggests potential entry or exit points. 4 — Integrate with Your Trading Strategy  • Combine RSI Trend Bias signals with other technical analysis tools to confirm market direction.  • Utilize the visual cues for fine-tuning your entry and exit decisions, ensuring robust risk management and optimized trade timing. █  CONCLUSION The RSI Trend Bias indicator offers a streamlined yet effective approach to monitoring market momentum. By leveraging the established principles of RSI analysis alongside dynamic visual cues, it enables traders to quickly identify bullish and bearish trends. Its customizable features and clear threshold indicators make it a valuable tool for enhancing technical analysis and making informed trading decisions.
Wskaźnik Pine Script™
od Botnet101