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Hullmovingaverage

Ultimate MTF Trend Dashboard [identityKa]Overview The Ultimate MTF Trend Dashboard is a comprehensive trend-following ecosystem that combines a zero-lag overlay cloud with a strict Multi-Timeframe (MTF) alignment dashboard. Designed for traders who require deep market context, this indicator visually tracks the immediate trend while simultaneously cross-referencing higher timeframes (15m, 1H, 4H, and Daily) to ensure trades are taken in the direction of the dominant macroeconomic flow. Mathematical Engine & Non-Repainting Logic The core trend calculation is built upon the Hull Moving Average (HMA). HMAs are favored for their ability to significantly reduce lag while maintaining a smooth curve. The Cloud: The script calculates a Fast HMA (default 14) and a Slow HMA (default 50). The area between them is filled to create a visual "Cloud." When the Fast HMA is above the Slow HMA, the cloud represents a bullish trend, and vice versa. Non-Repainting MTF Engine: Traditional MTF indicators in Pine Script often suffer from repainting issues by looking ahead into unclosed bars. This script solves that by securely fetching historical offset data ( ) combined with barmerge.lookahead_on across all higher timeframes. This guarantees that the dashboard values are strictly historically accurate and non-repainting. HUD Dashboard & AI State Suggestion The on-chart panel serves as the central intelligence hub, constantly evaluating the HMA state across four distinct timeframes. At the bottom of the dashboard is the rule-based AI Suggestion: LONG: Triggered only when the 15m, 1H, 4H, and 1D timeframes are all simultaneously in a Bullish state (Fast HMA > Slow HMA). SHORT: Triggered only when all four tracked timeframes are simultaneously in a Bearish state (Fast HMA < Slow HMA). Dangerous: Displayed when there is a conflict between timeframes (e.g., 1H is Bullish, but 4H is Bearish). This mathematically indicates market chop or a broader consolidation phase. How to Use It This tool acts as a supreme filter for Price Action trading. Traders should avoid taking trend-continuation setups when the AI Suggestion reads "Dangerous." Instead, patience should be exercised until full MTF alignment occurs. When the dashboard outputs "LONG" or "SHORT," traders can look for pullbacks into the local HMA Cloud on their execution timeframe to find optimal, low-risk entries in the direction of the undeniable macro trend.
Wskaźnik Pine Script®
od IdentityKa
Quantum RCI FusionDescription: Overview: The Quantum Momentum Engine Quantum RCI Fusion is a sophisticated momentum oscillator designed to solve the #1 problem of classic indicators: false signals in sideways markets. At the core of this script is the Rank Correlation Index (RCI), a powerful statistical tool based on Spearman’s correlation. Unlike RSI or Stochastic which only look at price levels, the RCI evaluates the "quality" of a trend by measuring the temporal correlation of price ranks. This script is not just a line drawing: it is a complete trading ecosystem that fuses three RCI timeframes, volatility filters, and a real-time Risk Management simulation. 🛠 How It Works: The "Fusion" Logic The strength of this indicator lies in the synergy between its components. It is not a simple mashup, but a filtered logical system: Triple RCI Engine (Fast, Mid, Slow): Fast (13) & Mid (18): These generate the Crossover signal for precise entry timing. Slow (30) - The "Trend Shield": The true innovation. It acts as a directional shield; if the baseline is bullish, the script protects Long positions by ignoring premature exit signals, allowing you to ride the full trend. HMA Smoothing: Raw price data passes through a Hull Moving Average before the RCI calculation. This drastically reduces market "noise" without sacrificing the responsiveness typical of the RCI. Intelligent Filters (Anti-Whipsaw): ADX Integration: Signals are blocked if the ADX is below the threshold (default 20), preventing trading in flat/ranging markets. Momentum Impulse: Requires a minimum variation (Delta) in the RCI to confirm that the move has real drive and is not just random fluctuation. 🛡 Risk Management & Simulation Since timing is useless without risk management, Quantum RCI Fusion includes a Dashboard and sophisticated exit logic: Multiple Exits: Take Profit / Stop Loss: Based on dynamic ATR multipliers. Shield Break: Safety exit if the underlying trend (Slow RCI) changes direction. Emergency: Immediate close if momentum sharply reverses across the zero line. Live Dashboard: Monitors Win Rate, virtual PnL, and Trade Status (Long/Short/Scanning) in real-time directly on the chart, removing the need for external backtesters. 🚀 How to Use It Setup: Add the script to a separate pane below your price chart. Entry Signals: LONG (Green Triangle): RCI Fast crosses Mid upwards + Oversold Zone (< -80) + ADX > 20 + Bullish Shield. SHORT (Red Triangle): RCI Fast crosses Mid downwards + Overbought Zone (> 80) + ADX > 20 + Bearish Shield. Customization: Scalping: Reduce RCI lengths (e.g., 8/12/20) and disable the "Trend Shield" for quick entries and exits. Swing Trading: Keep defaults and use the ATR Trailing logic to manage positions on H4 or Daily timeframes. ⚖️ Notes & Credits Originality: This script enhances the standard RCI by implementing Array-based calculations (optimized for Pine v6), proprietary HMA smoothing, and unique "Trend Shield" logic. Open Source: The code is released under the MPL 2.0 license. Credits to the Pine community for the foundational mathematical formulas of Spearman's correlation. Disclaimer: The statistics shown in the dashboard are simulations based on live data and do not guarantee future profits. You are responsible for your own trading decisions. 🖼 Instructions for the Publication Chart (Preview) To ensure your script gets approved and attracts users, follow these steps for the cover image: Symbol: Use a volatile and liquid asset, e.g., BTCUSD or XAUUSD (Gold), on a 1H or 4H timeframe. Clean Layout: Remove all other indicators from the chart (no Moving Averages on price, no Bollinger Bands). The focus must be solely on your script in the bottom pane. Visualization: Ensure the Dashboard (stats table) is clearly visible and does not obscure the most recent candle. The chart should show at least one clear BUY and one clear SELL signal, ideally with the exit icons (the "X" or flags) visible to demonstrate the exit logic.
Wskaźnik Pine Script®
od mentalExpert19609
Keltner Hull Suite [QuantAlgo]🟢 Overview The Keltner Hull Suite combines Hull Moving Average positioning with double-smoothed True Range banding to identify trend regimes and filter market noise. The indicator establishes upper and lower volatility bounds around the Hull MA, with the trend line conditionally updating only when price violates these boundaries. This mechanism distinguishes between genuine directional shifts and temporary price fluctuations, providing traders and investors with a systematic framework for trend identification that adapts to changing volatility conditions across multiple timeframes and asset classes. 🟢 How It Works The calculation foundation begins with the Hull Moving Average, a weighted moving average designed to minimize lag while maintaining smoothness: hullMA = ta.hma(priceSource, hullPeriod) The indicator then calculates true range and applies dual exponential smoothing to create a volatility measure that responds more quickly to volatility changes than traditional ATR implementations while maintaining stability through the double-smoothing process: tr = ta.tr(true) smoothTR = ta.ema(tr, keltnerPeriod) doubleSmooth = ta.ema(smoothTR, keltnerPeriod) deviation = doubleSmooth * keltnerMultiplier Dynamic support and resistance boundaries are constructed by applying the multiplier-scaled volatility deviation to the Hull MA, creating upper and lower bounds that expand during volatile periods and contract during consolidation: upperBound = hullMA + deviation lowerBound = hullMA - deviation The trend line employs a conditional update mechanism that prevents premature trend reversals. The system maintains the current trend line until price action violates the respective boundary, at which point the trend line snaps to the violated bound: if upperBound < trendLine trendLine := upperBound if lowerBound > trendLine trendLine := lowerBound Directional bias determination compares the current trend line value against its previous value, establishing bullish conditions when rising and bearish conditions when falling. Signal generation occurs on state transitions, triggering alerts when the trend state shifts from neutral or opposite direction: trendUp = trendLine > trendLine trendDown = trendLine < trendLine longSignal = trendState == 1 and trendState != 1 shortSignal = trendState == -1 and trendState != -1 The visualization layer creates a trend band by plotting both the current trend line and a two-bar shifted version, with the area between them filled to create a visual channel that reinforces directional conviction. 🟢 How to Use This Indicator ▶ Long and Short Signals: The indicator generates long/buy signals when the trend state transitions to bullish (trend line begins rising) and short/sell signals when transitioning to bearish (trend line begins falling). These state changes represent structural shifts in momentum where price has broken through the adaptive volatility bands, confirming directional commitment. ▶ Trend Band Dynamics: The spacing between the main trend line and its shifted counterpart creates a visual band whose width reflects trend strength and momentum consistency. Expanding bands indicate accelerating directional movement and strong trend persistence, while contracting or flattening bands suggest decelerating momentum, potential trend exhaustion, or impending consolidation. Monitoring band width provides early warning of regime transitions from trending to range-bound conditions. ▶ Preconfigured Presets: Three optimized parameter sets accommodate different trading styles and timeframes. Default (14, 20, 2.0) provides balanced trend identification suitable for daily charts and swing trading, Fast Response (10, 14, 1.5) delivers aggressive signal generation optimized for intraday scalping and momentum trading on 1-15 minute timeframes, while Smooth Trend (18, 30, 2.5) offers conservative trend confirmation ideal for position trading on 4-hour to daily charts with enhanced noise filtration. ▶ Built-in Alerts: Three alert conditions enable automated monitoring - Bullish Trend Signal triggers on long setup confirmation, Bearish Trend Signal activates on short setup confirmation, and Trend Change alerts on any directional transition. These notifications allow you to respond to regime shifts without continuous chart monitoring. ▶ Color Customization: Five visual themes (Classic, Aqua, Cosmic, Ember, Neon, plus Custom) accommodate different chart backgrounds and display preferences, ensuring optimal contrast and visual clarity across trading environments.
Wskaźnik Pine Script®
od QuantAlgo
10
paigep.llc - SuperMASuperMA is a multi-layered moving-average and candle-coloring system that combines SMA, EMA, and optional HMA logic to help traders visualize trend shifts, pullbacks, and momentum changes in a clean, structured way. The script includes multiple modules: trend-based moving averages, pullback signals, exit logic, and an optional HMA cross engine. 📌 Core Features 1. Full SMA + EMA Framework The indicator plots multiple moving averages (8, 9, 13, 20, 50, 200) using both SMA and EMA calculations. Each line automatically colors bullish or bearish based on its relationship to the 200-period baseline.Users can toggle SMAs and EMAs independently for clearer chart control. 2. Main Trend Entry & Exit Logic (8×200 and 8×20) Built-in crossover logic detects: Main Entry: SMA 8 crossing above/below EMA 200 Main Exit: SMA 8 and SMA 20 cross (with an option to choose which SMA is treated as the “fast” leg) A “first exit only” option allows the script to ignore additional exit signals until a new trend regime begins. 3. Pullback Module (20 SMA Interaction) Pullback entries and exits occur when price crosses the 20 SMA during existing trend conditions. This includes: Pullback entries through the 20 SMA Pullback exits back across the 20 SMA Labels and candle colors are available for all pullback events. 4. Optional HMA Cross Module A separate module allows traders to use two Hull Moving Averages (HMA) with customizable: Lengths Independent timeframes Line colors Cross-based entries and exits This module has its own events, labels, and optional candle coloring. 5. Advanced Candle Coloring System Candle coloring is layered in priority order, based on: Main trend entries Main exits HMA entries HMA exits Pullback entries Pullback exits Trend-only candles (based on SMA 8 relative to EMA 200) Users may also independently color wicks and borders. 6. Configurable Alerts (Fully Decoupled from Visuals) Alerts are available for all major events, including: Main Entries (8×200) Main Exits (8×20) Pullback Entries and Exits HMA Entries and Exits Bull or Bear Trend candles Any colored candle event Alerts can fire on bar close only or intrabar, depending on user preference. 📌 Use Cases SuperMA helps traders visualize: Trend direction using SMA/EMA structure Momentum shifts through HMA crosses Pullback zones around the 20 SMA Early regime transitions based on the 8×200 relationship Candle-level context through color-coded bars The indicator works across all markets and timeframes. ⚠️ Note This tool is for visual and analytical assistance only. It does not guarantee future performance and should be combined with additional analysis and risk management.
Wskaźnik Pine Script®
od paigepllc
paigep.llc - SuperMA SuperMA is a multi-layered moving-average and candle-coloring system that combines SMA, EMA, and optional HMA logic to help traders visualize trend shifts, pullbacks, and momentum changes in a clean, structured way. The script includes multiple modules: trend-based moving averages, pullback signals, exit logic, and an optional HMA cross engine. 📌 Core Features 1. Full SMA + EMA Framework The indicator plots multiple moving averages (8, 9, 13, 20, 50, 200) using both SMA and EMA calculations. Each line automatically colors bullish or bearish based on its relationship to the 200-period baseline. Users can toggle SMAs and EMAs independently for clearer chart control. 2. Main Trend Entry & Exit Logic (8×200 and 8×20) Built-in crossover logic detects: Main Entry: SMA 8 crossing above/below EMA 200 Main Exit: SMA 8 and SMA 20 cross (with an option to choose which SMA is treated as the “fast” leg) A “first exit only” option allows the script to ignore additional exit signals until a new trend regime begins. 3. Pullback Module (20 SMA Interaction) Pullback entries and exits occur when price crosses the 20 SMA during existing trend conditions. This includes: Pullback entries through the 20 SMA Pullback exits back across the 20 SMA Labels and candle colors are available for all pullback events. 4. Optional HMA Cross Module A separate module allows traders to use two Hull Moving Averages (HMA) with customizable: Lengths Independent timeframes Line colors Cross-based entries and exits This module has its own events, labels, and optional candle coloring. 5. Advanced Candle Coloring System Candle coloring is layered in priority order, based on: Main trend entries Main exits HMA entries HMA exits Pullback entries Pullback exits Trend-only candles (based on SMA 8 relative to EMA 200) Users may also independently color wicks and borders. 6. Configurable Alerts (Fully Decoupled from Visuals) Alerts are available for all major events, including: Main Entries (8×200) Main Exits (8×20) Pullback Entries and Exits HMA Entries and Exits Bull or Bear Trend candles Any colored candle event Alerts can fire on bar close only or intrabar, depending on user preference. Use Cases SuperMA helps traders visualize: Trend direction using SMA/EMA structure Momentum shifts through HMA crosses Pullback zones around the 20 SMA Early regime transitions based on the 8×200 relationship Candle-level context through color-coded bars The indicator works across all markets and timeframes. ⚠️ Note This tool is for visual and analytical assistance only. It does not guarantee future performance and should be combined with additional analysis and risk management.
Wskaźnik Pine Script®
od paigepllc
1
Buy/Sell Hull Crossover Signals (Fast & Slow)This indicator generates buy and sell signals using fast- and slow-period Hull Moving Averages (HMAs). A bullish signal occurs when the fast HMA crosses above the slow HMA, while a bearish signal triggers when it crosses below. To reduce repainting, you can optionally require confirmation on bar close. The script includes visual tools such as a color-shifting ribbon between HMAs, optional background shading to show market regime, and lightweight buy/sell labels for quick signal recognition. Alerts are built in so you can automate notifications when crossover conditions occur. Designed to be simple, responsive, and easy to layer into existing strategies, this indicator helps traders spot momentum shifts and trend transitions with clarity.
Wskaźnik Pine Script®
od VibeAlgos
Fixed High Timeframe Moving AveragesFixed High Timeframe Moving Averages (W/D/4H) Summary This indicator plots essential, high-timeframe (HTF) Moving Averages onto your chart, **no matter which timeframe you are currently viewing**. It is designed for traders who need multi-timeframe context at a glance. Stop switching charts to see where the 200-Week or 50-Day MA is—now you can see all critical HTF levels directly on your 5-minute (or any other) chart. --- Who it’s for Traders who rely on moving averages but like to work on lower chart timeframes while keeping higher timeframe context in sight. If you scalp on 1–15m yet want Weekly/Daily/4H MAs always visible, this is for you. --- What it shows Pinned (“fixed”) moving averages from higher timeframes—Weekly (20/100/200) , Daily (50/100/200/365) and 4H (200) —rendered on any chart timeframe. Your favorite HTF MAs stay on screen no matter what TF you’re currently analyzing. --- Features * **MA types:** SMA, EMA, VWMA, Hull. * **Fully configurable:** toggle each line, set periods, colors, and thickness. * **Two alert modes (see below):** intrabar vs confirmed HTF close. * **Works on any symbol & chart TF** using `request.security` to fetch HTF data. --- Alerts & Modes This indicator solves the biggest problem with MTF alerts: false signals. You can choose one of two modes: 1. **Intrabar mode** — compares current chart price to the HTF MA. Triggers as soon as price crosses the HTF line; great for early signals but may update until the HTF bar closes. 2. **Confirmed mode** — checks HTF close vs HTF MA. Signals only on the higher-TF bar close; fewer false starts, no intrabar repainting on that TF. Per-line *Cross Above / Cross Below* conditions are provided for all enabled MAs (e.g., “20W — Cross Above”, “365D — Cross Below”, etc.). **How to use alerts:** add the script → “Create Alert” → pick any condition from the script’s list. --- Why this helps * Keeps Weekly/Daily structure visible while you execute on LTF. * Classic anchors (e.g., 200D, 20W/100W/200W) are popular for trend bias, dynamic support/resistance, and pullback context. * Lets you standardize MA references across all your lower-TF playbooks. --- Notes on confirmation & repainting * Intrabar signals can change until the higher-TF bar closes (that’s expected with multi-TF data). * Confirmed mode waits for the HTF close—cleaner, but later. Choose what fits your workflow. --- Quick setup 1. Pick `MA Type` (SMA/EMA/VWMA/Hull). 2. Enable the HTF lines you want (Weekly 20/100/200; Daily 50/100/200/365; 4H 200). 3. Choose `Alert Mode` (Intrabar vs Confirmed). 4. Style colors/widths to taste and set alerts on the lines you care about. --- Good practice * Combine HTF MAs with price action (swings, structure, liquidity grabs) rather than using them in isolation. * Always validate signals in your execution TF and use a risk plan tailored to volatility. * Protect your capital: position sizing, stops, and disciplined risk management matter more than any single line on the chart. --- Disclaimer For educational/informational purposes only; not financial advice. Trading involves risk—manage it responsibly.
Wskaźnik Pine Script®
od MAXmks
Adaptive HMA SignalsAdaptive HMA Signals This indicator pairs nicely with the Contrarian 100 MA and can be located here: Overview The "Adaptive HMA Signals" indicator is a sophisticated technical analysis tool designed for traders aiming to capture trend changes with precision. By leveraging Hull Moving Averages (HMAs) that adapt dynamically to market conditions (volatility or volume), this indicator generates actionable buy and sell signals based on price interactions with adaptive HMAs and slope analysis. Optimized for daily charts, it is highly customizable and suitable for trading forex, stocks, cryptocurrencies, or other assets. The indicator is ideal for swing traders and trend followers seeking to time entries and exits effectively. How It Works The indicator uses two adaptive HMAs—a primary HMA and a minor HMA—whose periods adjust dynamically based on user-selected market conditions (volatility via ATR or volume via RSI). It calculates the slope of the primary HMA to identify trend strength and generates exit signals when the price crosses the minor HMA under specific slope conditions. Signals are plotted as circles above or below the price, with inverted colors (white for buy, blue for sell) to enhance visibility on any chart background. Key Components Adaptive HMAs: Two HMAs (primary and minor) with dynamic periods that adjust based on volatility (ATR-based) or volume (RSI-based) conditions. Periods range between user-defined minimum and maximum values, adapting by a fixed percentage (3.141%). Slope Analysis: Calculates the slope of the primary HMA over a 34-bar period to gauge trend direction and strength, normalized using market range data. Signal Logic: Generates buy signals (white circles) when the price falls below the minor HMA with a flat or declining slope (indicating a potential trend reversal) and sell signals (blue circles) when the price rises above the minor HMA with a flat or rising slope. Signal Visualization: Plots signals at an offset based on ATR for clarity, using semi-transparent colors to avoid chart clutter. Mathematical Concepts Dynamic Period Adjustment: Primary HMA period adjusts between minLength (default: 144) and maxLength (default: 200). Minor HMA period adjusts between minorMin (default: 55) and minorMax (default: 89). Periods decrease by 3.141% under high volatility/volume and increase otherwise. HMA Calculation: Uses the Hull Moving Average formula: WMA(2 * WMA(src, length/2) - WMA(src, length), sqrt(length)). Provides a smoother, faster-responding moving average compared to traditional MAs. Slope Calculation: Computes the slope of the primary HMA using a 34-bar period, normalized by the market range (highest high - lowest low over 34 bars). Slope angle is converted to degrees using arccosine for intuitive trend strength interpretation. Signal Conditions: Buy: Slope ≥ 17° (flat or rising), price < minor HMA, low volatility/volume. Sell: Slope ≤ -17° (flat or declining), price > minor HMA, low volatility/volume. Signals are triggered only on confirmed bars to avoid repainting. Entry and Exit Rules Buy Signal (White Circle): Triggered when the price crosses below the minor HMA, the slope of the primary HMA is flat or rising (≥17°), and volatility/volume is low. The signal appears as a white circle above the price bar, offset by 0.72 * ATR(5). Sell Signal (Blue Circle): Triggered when the price crosses above the minor HMA, the slope of the primary HMA is flat or declining (≤-17°), and volatility/volume is low. The signal appears as a blue circle below the price bar, offset by 0.72 * ATR(5). Exit Rules: Exit a buy position on a sell signal and vice versa. Combine with other tools (e.g., support/resistance, RSI) for additional confirmation. Always apply proper risk management. Recommended Usage The "Adaptive HMA Signals" indicator is optimized for daily charts but can be adapted to other timeframes (e.g., 1H, 4H) with adjustments to period lengths. It performs best in trending or range-bound markets with clear reversal points. Traders should: Backtest the indicator on their chosen asset and timeframe to validate signal reliability. Combine with other technical tools (e.g., trendlines, Fibonacci retracements) for stronger trade setups. Adjust minLength, maxLength, minorMin, and minorMax based on market volatility and timeframe. Use the Charger input to toggle between volatility (ATR) and volume (RSI) adaptation for optimal performance in specific market conditions. Customization Options Source: Choose the price source (default: close). Show Signals: Toggle visibility of buy/sell signals (default: true). Charger: Select adaptation trigger—Volatility (ATR-based) or Volume (RSI-based) (default: Volatility). Main HMA Periods: Set minimum (default: 144) and maximum (default: 200) periods for the primary HMA. Minor HMA Periods: Set minimum (default: 55) and maximum (default: 89) periods for the minor HMA. Slope Period: Fixed at 34 bars for slope calculation, adjustable via code if needed. Why Use This Indicator? The "Adaptive HMA Signals" indicator combines the responsiveness of HMAs with dynamic adaptation to market conditions, offering a robust tool for identifying trend reversals. Its clear visual signals, customizable periods, and adaptive logic make it versatile for various markets and trading styles. Whether you’re a beginner or an experienced trader, this indicator enhances your ability to time entries and exits with precision. Tips for Users Test the indicator thoroughly on your chosen market and timeframe to optimize settings (e.g., adjust period lengths for non-daily charts). Use in conjunction with price action or other indicators (e.g., RSI, MACD) for stronger trade confirmation. Monitor volatility/volume conditions to ensure the Charger setting aligns with market dynamics. Ensure your chart timeframe aligns with the selected period lengths for accurate signal generation. Apply strict risk management to protect against false signals in choppy markets. Happy trading with the Adaptive HMA Signals indicator! Share your feedback and strategies in the TradingView community!
Wskaźnik Pine Script®
od chuckaschultz
Triple HMA Colored [Chichomax]Triple HMA Colored Indicator Description The Triple HMA Colored indicator is a sophisticated technical analysis tool designed to enhance trend identification by displaying three Hull Moving Averages (HMAs) on your chart, each with fully customizable periods and dynamic color settings. This indicator is built on the refined HMA calculation method, which leverages weighted moving averages (WMAs) to generate smooth and responsive trend lines with minimal lag. Key Features: - Triple HMA Setup: Displays three HMAs, each computed with different, user-configurable periods, enabling multi-timeframe analysis in a single indicator. - Dynamic Color Coding: Each HMA line is color-coded based on its directional movement. When the current HMA value exceeds the previous value, the line is drawn in the designated "up" color, and when it falls below, it switches to the "down" color. This provides immediate visual cues for trend shifts. - Customizable Inputs: Users can adjust the period lengths for each of the three HMAs and select from six different color options (two for each HMA) directly from the indicator’s settings panel, ensuring that the tool can be tailored to match various trading strategies and visual preferences. - Efficient Trend Detection: By combining the speed of WMAs with the smoothness of the Hull Moving Average, this indicator offers a reliable method to detect market momentum changes, making it a valuable asset for both trend-following and counter-trend strategies. Ideal for traders who demand flexibility and clarity in their chart analysis, the Triple HMA Colored indicator simplifies the process of tracking market trends across multiple timeframes while providing clear, visual signals for potential entry and exit points.
Wskaźnik Pine Script®
od mn_muniz
1
Hull Suite by MRS**Hull Suite by MRS Strategy Indicator** The Hull Suite by MRS Strategy is a technical analysis tool designed to provide insights into market trends using variations of the Hull Moving Average (HMA). This strategy aims to help traders identify optimal entry points for both long and short positions by utilizing multiple types of Hull-based indicators. ### Key Features: 1. **Hull Moving Average Variations**: The indicator offers three different Hull Moving Average variants: - **HMA (Hull Moving Average)**: A fast-moving average that minimizes lag and reacts quickly to price changes. - **EHMA (Enhanced Hull Moving Average)**: A smoother version of HMA with reduced noise, offering a clearer view of market trends. - **THMA (Triple Hull Moving Average)**: A more complex Hull average that aims to provide a stronger confirmation of trend direction. 2. **Customizable Parameters**: - **Source Selection**: Allows traders to choose the source for calculation (e.g., closing prices). - **Length**: A configurable parameter to adjust the period over which the moving average is calculated (e.g., 55-period for swing entries). - **Trend Coloring**: Users can enable automatic color-coding of the Hull moving average to reflect whether the market is in an uptrend (green) or downtrend (red). - **Candle Color**: Option to color candles based on Hull's trend, further improving the visual clarity of trend direction. 3. **Entry and Exit Signals**: - **Buy Signal**: Generated when the Hull moving average crosses above its historical value, indicating a potential upward price movement. - **Sell Signal**: Triggered when the Hull moving average crosses below its historical value, signaling a potential downward price movement. - The strategy can be customized to work with long, short, or both directions, making it adaptable for various market conditions. 4. **Visual Representation**: - **Hull Bands**: The indicator can plot the Hull moving average as bands, with customizable transparency to suit individual preferences. - **Band Filler**: The area between the two Hull moving averages is filled, making it easier to identify trends at a glance. 5. **Backtesting and Strategy Execution**: This strategy can be tested on historical data with adjustable backtest start and stop dates, providing traders with a better understanding of its performance before live trading. ### Purpose: The Hull Suite by MRS Strategy is designed to assist traders in determining the optimal time to enter and exit the market based on robust Hull moving averages. With its flexibility, it can be used for trend-following, swing trading, or other strategic applications.
Strategia Pine Script®
od mrsekhar
1
HMA Fibonacci Rainbow Waves[FibonacciFlux]HMA Fibonacci Rainbow Waves Overview The HMA Fibonacci Rainbow Waves script is designed for traders who strive for simplicity in their trading strategies while navigating the complexities of chart analysis. By utilizing the Hull Moving Average (HMA) for smoothing, this indicator provides a refined view of price action. However, over-smoothing can sometimes filter out essential market noise. To address this, the indicator incorporates a unique approach by applying Fibonacci weighting to seven HMA200 calculations. This enables traders to capture noise while effectively following market trends. BTCUSDT 4hour Key Features 1. Hull Moving Average (HMA) - The HMA is known for its responsiveness and ability to filter out noise, providing a clear view of the underlying trend. - The indicator balances smoothness with responsiveness, making it suitable for various trading styles, from day trading to swing trading and scalping. 2. Fibonacci Weighting - By applying Fibonacci numbers to the HMA calculations, the indicator enhances its ability to adapt to market dynamics. - This unique approach allows traders to maintain clarity while accommodating fluctuations in price action, ensuring they do not miss critical entry points. 3. Multi-Timeframe Functionality - The HMA Fibonacci Rainbow Waves indicator operates effectively across multiple timeframes, including daily, 4-hour, 5-minute, and 1-minute charts. - This adaptability makes it a valuable tool for traders, regardless of their preferred trading style, facilitating seamless transitions between different market conditions. 4. Noise Capture and Trend Following - The indicator is designed to capture essential market movements while filtering out excessive noise. - It helps traders follow trends without being overwhelmed by market fluctuations, allowing them to act on advantageous entry conditions that might otherwise be obscured. Signal Generation and Alerts - The indicator generates buy and sell signals based on the relationship between the HMAs, providing clear entry and exit points. - Customizable alerts keep traders informed of significant changes in market conditions, enabling timely decisions that reflect the nuances of market behavior. BTCUSDT 15min Benefits 1. Simplified Trading Approach - Traders can focus on core market movements without being distracted by excessive noise, enhancing decision-making efficiency and minimizing emotional trading. 2. Flexibility Across Timeframes - The ability to function across different timeframes allows traders to apply the same principles in various trading scenarios, from quick scalps to strategic swing trades. 3. Enhanced Market Insights - The combination of HMA smoothing and Fibonacci weighting offers a comprehensive view of market trends, aiding traders in identifying potential opportunities, including those that institutional investors might exploit. 4. Resolving Complexity with Simplicity - This indicator elegantly bridges the gap between simplicity and complexity, providing a single tool that addresses the inherent contradictions in trading psychology. It allows traders to simplify their strategies while still capturing the dynamic nature of the market. BTCUSDT 1min Conclusion The HMA Fibonacci Rainbow Waves script is a powerful tool for traders seeking to streamline their analysis while effectively capturing market dynamics. By integrating advanced smoothing techniques with Fibonacci weighting, this indicator empowers traders to follow market trends confidently across various timeframes. Its design makes it an essential asset for both novice and experienced traders alike, offering insights that can reveal entry points often missed by traditional indicators. Open Source Collaboration This script is released as an open-source project on TradingView, inviting the global trading community to contribute and enhance its functionality. By collaborating on this project, traders can help improve its capabilities, ensuring it remains a valuable resource for market participants around the world. Important Note As with any trading tool, it is crucial to conduct thorough analysis and risk management when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for potential market fluctuations.
Wskaźnik Pine Script®
od FibonacciFlux
Multi-Average Trend Indicator (MATI)[FibonacciFlux]Multi-Average Trend Indicator (MATI) Overview The Multi-Average Trend Indicator (MATI) is a versatile technical analysis tool designed for traders who aim to enhance their market insights and streamline their decision-making processes across various timeframes. By integrating multiple advanced moving averages, this indicator serves as a robust framework for identifying market trends, making it suitable for different trading styles—from scalping to swing trading. MATI 4-hourly support/resistance MATI 1-hourly support/resistance MATI 15 minutes support/resistance MATI 1 minutes support/resistance Key Features 1. Diverse Moving Averages - COVWMA (Coefficient of Variation Weighted Moving Average) : - Provides insights into price volatility, helping traders identify the strength of trends in fast-moving markets, particularly useful for 1-minute scalping . - DEMA (Double Exponential Moving Average) : - Minimizes lag and quickly responds to price changes, making it ideal for capturing short-term price movements during volatile trading sessions . - EMA (Exponential Moving Average) : - Focuses on recent price action to indicate the prevailing trend, vital for day traders looking to enter positions based on current momentum. - KAMA (Kaufman's Adaptive Moving Average) : - Adapts to market volatility, smoothing out price action and reducing false signals, which is crucial for 4-hour day trading strategies. - SMA (Simple Moving Average) : - Provides a foundational view of the market trend, useful for swing traders looking at overall price direction over longer periods. - VIDYA (Variable Index Dynamic Average) : - Adjusts based on market conditions, offering a dynamic perspective that can help traders capture emerging trends. 2. Combined Moving Average - The MATI's combined moving average synthesizes all individual moving averages into a single line, providing a clear and concise summary of market direction. This feature is especially useful for identifying trend continuations or reversals across various timeframes . 3. Dynamic Color Coding - Each moving average is visually represented with color coding: - Green indicates bullish conditions, while Red suggests bearish trends. - This visual feedback allows traders to quickly assess market sentiment, facilitating faster decision-making. 4. Signal Generation and Alerts - The indicator generates buy signals when the combined moving average crosses above its previous value, indicating a potential upward trend—ideal for quick entries in scalping. - Conversely, sell signals are triggered when the combined moving average crosses below its previous value, useful for exiting positions or entering short trades. Insights and Applications 1. Scalping on 1-Minute Charts - The MATI excels in fast-paced environments, allowing scalpers to identify quick entry and exit points based on short-term trends. With dynamic signals and alerts, traders can react swiftly to price movements, maximizing profit potential in brief price fluctuations. 2. Day Trading on 4-Hour Charts - For day traders, the MATI provides essential insights into intraday trends. By analyzing the combined moving average and its relation to individual moving averages, traders can make informed decisions on when to enter or exit positions, capitalizing on daily price swings. 3. Swing Trading on Daily Charts - The MATI also serves as a valuable tool for swing traders. By evaluating longer-term trends through the combined moving average, traders can identify potential swing points and adjust their strategies accordingly. The flexibility of adjusting the lengths of the moving averages allows for tailored approaches based on market volatility. Benefits 1. Clarity and Insight - The combination of diverse moving averages offers a clear visual representation of market trends, aiding traders in making informed decisions across multiple timeframes. 2. Flexibility and Customization - With adjustable parameters, traders can adapt the MATI to their specific strategies, making it suitable for various market conditions and trading styles. 3. Real-Time Alerts and Efficiency - Built-in alerts minimize response times, allowing traders to capitalize on opportunities as they arise, regardless of their trading style. Conclusion The Multi-Average Trend Indicator (MATI) is an essential tool for traders seeking to enhance their technical analysis capabilities. By seamlessly integrating multiple moving averages with dynamic color coding and real-time alerts, this indicator provides a comprehensive approach to understanding market trends. Its versatility makes it an invaluable asset for scalpers, day traders, and swing traders alike. Important Note As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for market fluctuations.
Wskaźnik Pine Script®
od FibonacciFlux
MTF EHMA & HMA Insights [FibonacciFlux]MTF EHMA & HMA Insights Overview The Multi-Timeframe EHMA, HMA, and Midline with Fill script is a powerful technical analysis tool designed for traders seeking to enhance their market insights and decision-making processes. By integrating two advanced moving averages—Exponential Hull Moving Average (EHMA) and Hull Moving Average (HMA)—along with a dynamic midline, this indicator provides a comprehensive view of market trends across multiple timeframes. Key Features 1. Dual Moving Averages - Exponential Hull Moving Average (EHMA) : - Offers a rapid response to price changes, making it particularly useful for identifying short-term trends. - Utilizes a unique calculation method that reduces lag, allowing traders to react quickly to market movements. - Hull Moving Average (HMA) : - Known for its smoothness and ability to filter out noise, the HMA presents a clear picture of the underlying trend. - The HMA is specifically designed to achieve a balance between responsiveness and smoothness, enabling traders to make informed decisions. 2. Midline Calculation - Dynamic Midline (m) : - The midline is calculated as the average of EHMA and HMA, providing a neutral reference point for evaluating price movements. - It visually represents market sentiment; a rising midline suggests bullish conditions, while a declining midline indicates bearish trends. 3. Visual Components - Fill Areas : - Color-coded fills between the EHMA and HMA enhance visual clarity by indicating the relative position of these moving averages. - The fill color dynamically changes based on the relationship between the two averages (green for EHMA below HMA and red for EHMA above HMA), allowing traders to quickly assess market conditions. 4. Signal Generation and Alerts - Buy/Sell Signals : - The indicator generates buy signals when the midline crosses above its previous value, indicating a potential upward trend. - Conversely, sell signals are triggered when the midline crosses below its previous value, suggesting a possible downward movement. - Alert Conditions : - Built-in alerts notify traders in real-time when significant changes occur, allowing them to act swiftly on potential trading opportunities. - Customizable alert messages ensure traders receive relevant information tailored to their strategies. Technical Details Input Parameters - Timeframe Settings : - Traders can customize the timeframes for both EHMA and HMA, enabling them to adapt the indicator to different trading styles and market conditions. - Length Settings : - Adjustable lengths for both moving averages impact their sensitivity, allowing traders to optimize their performance based on volatility and market dynamics. Plotting and Visualization - Plotting : - The script plots the EHMA, HMA, and midline directly on the chart for easy visualization. - Signal labels (BUY and SELL) are displayed prominently, helping traders to identify potential entry and exit points without ambiguity. Benefits 1. Clarity and Insight - The combination of EHMA, HMA, and midline provides a clear and concise visual representation of market trends, aiding traders in making informed decisions. 2. Flexibility - Customizable parameters allow traders to tailor the indicator to their specific needs, making it suitable for various market conditions and trading styles. 3. Efficiency - Real-time alerts and visual signals minimize response times, enabling traders to capitalize on opportunities as they arise. 4. Enhanced Trading Conditions - When utilizing the Fibonacci number 144 on a daily chart, the indicator facilitates optimal trading conditions: - "The entry was made before the bubble began, using 144 as the Fibonacci variable." - "The exit occurred right before the bubble burst, or alternatively, a short position was initiated." - "When the next bubble started, a long entry was made again." - "Despite some lag, the position was exited and a long entry was made." - "The exit or short entry took place at the second double top peak." - "A short position was already established before the double top formation occurred." - On a 4-hour chart, traders can effectively set stop losses at HMA levels, achieving a risk-reward ratio between 4 and 8. - Additionally, analyzing the 15-minute chart with a multi-timeframe approach allows for more precise entry points. Conclusion The Multi-Timeframe EHMA, HMA, and Midline with Fill script is a robust tool for traders looking to enhance their technical analysis capabilities. By combining multiple moving averages with a dynamic midline and alert system, this indicator offers a comprehensive approach to understanding market trends. Its flexibility, clarity, and efficiency make it an invaluable asset for both novice and experienced traders alike. Important Note As with any trading tool, it is crucial to conduct thorough analysis and risk management when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for potential market fluctuations.
Wskaźnik Pine Script®
od FibonacciFlux
3
HMA Z-Score Probability Indicator by Erika BarkerThis indicator is a modified version of SteverSteves's original work, enhanced by Erika Barker. It visually represents asset price movements in terms of standard deviations from a Hull Moving Average (HMA), commonly known as a Z-Score. Key Features: Z-Score Calculation: Measures how many standard deviations the current price is from its HMA. Hull Moving Average (HMA): This moving average provides a more responsive baseline for Z-Score calculations. Flexible Display: Offers both area and candlestick visualization options for the Z-Score. Probability Zones: Color-coded areas showing the statistical likelihood of prices based on their Z-Score. Dynamic Price Level Labels: Displays actual price levels corresponding to Z-Score values. Z-Table: An optional table showing the probability of occurrence for different Z-Score ranges. Standard Deviation Lines: Horizontal lines at each standard deviation level for easy reference. How It Works: The indicator calculates the Z-Score by comparing the current price to its HMA and dividing by the standard deviation. This Z-Score is then plotted on a separate pane below the main chart. Green areas/candles: Indicate prices above the HMA (positive Z-Score) Red areas/candles: Indicate prices below the HMA (negative Z-Score) Color-coded zones: Green: Within 1 standard deviation (high probability) Yellow: Between 1 and 2 standard deviations (medium probability) Red: Beyond 2 standard deviations (low probability) The HMA line (white) shows the trend of the Z-Score itself, offering insight into whether the asset is becoming more or less volatile over time. Customization Options: Adjust lookback periods for Z-Score and HMA calculations Toggle between area and candlestick display Show/hide probability fills, Z-Table, HMA line, and standard deviation bands Customize text color and decimal rounding for price levels Interpretation: This indicator helps traders identify potential overbought or oversold conditions based on statistical probabilities. Extreme Z-Score values (beyond ±2 or ±3) often suggest a higher likelihood of mean reversion, while consistent Z-Scores in one direction may indicate a strong trend. By combining the Z-Score with the HMA and probability zones, traders can gain a nuanced understanding of price movements relative to recent trends and their statistical significance.
Wskaźnik Pine Script®
od erikabarker
9
Hullinger Percentile Oscillator [AlgoAlpha]🚀 Introducing the Hullinger Percentile Oscillator by AlgoAlpha! 🚀 This versatile Pine Script™ indicator is designed to help you identify swing trends and potential reversals with precision. Whether you're looking to catch market swings or spot divergences, the Hullinger Percentile Oscillator offers a comprehensive suite of features to enhance your trading strategy. Key Features 🎯 Customizable Hullinger Settings: Adjust the main length, source, and standard deviation multipliers to fine-tune the indicator to your preferred trading style. 🔄 Dynamic Oscillator Modes: Switch between "Swing" mode for trend identification and "Contrarian" mode for reversal spotting, adapting the indicator to your market view. 📉 Divergence Detection: The indicator includes parameters to control the sensitivity and confirmation of divergence signals, helping to filter out noise and highlight significant market moves. 🌈 Color-Coded Visuals: Easily distinguish between bullish and bearish signals with customizable color settings for a clear visual representation on your chart. 🔔 Alert Integration: Stay ahead of the market with built-in alerts for key conditions, including strong and weak reversals, as well as bullish and bearish swings. Quick Guide to Using the Hullinger Percentile Oscillator Maximize your trading edge with the Hullinger Percentile Oscillator by following these steps! 📈✨ 🛠 Add the Indicator: Add the indicator to favorites by pressing the star icon ⭐. Customize settings like Main Length, Oscillator Mode, and Appearance to fit your trading needs. 📊 Market Analysis: Use "Swing" mode to track trends and "Contrarian" mode to spot reversals. Watch for divergence signals to catch potential trend changes. 🔔 Alerts: Set up alerts to be notified of significant market movements without constantly monitoring your chart. How It Works The Hullinger Percentile Oscillator calculates its signals by applying a modified standard deviation approach to the Hull Moving Average (HMA) of a selected price source. It creates both inner and outer bands based on different multipliers. The oscillator then measures the position of the price relative to these bands, smoothing the result for swing trend detection. Depending on the chosen mode, the oscillator either highlights swing trends or potential reversals. Divergences are detected by comparing recent pivot highs and lows in both price and the oscillator, allowing you to spot bullish or bearish divergence setups. Alerts are triggered based on key crossovers or when specific conditions are met, ensuring that you are always informed of crucial market developments.
Wskaźnik Pine Script®
od AlgoAlpha
1
Hullinger Bands [AlgoAlpha]🎯 Introducing the Hullinger Bands Indicator ! 🎯 Maximize your trading precision with the Hullinger Bands , an advanced tool that combines the strengths of Hull Moving Averages and Bollinger Bands for a robust trading strategy. This indicator is designed to give traders clear and actionable signals, helping you identify trend changes and optimize entry and exit points with confidence. ✨ Key Features : 📊 Dual-Length Settings : Customize your main and TP signal lengths to fit your trading style. 🎯 Enhanced Band Accuracy : The indicator uses a modified standard deviation calculation for more reliable volatility measures. 🟢🔴 Color-Coded Signals : Easily spot bullish and bearish conditions with customizable color settings. 💡 Dynamic Alerts : Get notified for trend changes and TP signals with built-in alert conditions. 🚀 Quick Guide to Using Hullinger Bands 1. ⭐ Add the Indicator : Add the indicator to favorites by pressing the star icon. Adjust the settings to align with your trading preferences, such as length and multiplier values. 2. 🔍 Analyze Readings : Observe the color-coded bands for real-time insights into market conditions. When price is closer to the upper bands it suggests an overbought market and vice versa if price is closer to the lower bands. Price being above or below the basis can be a trend indicator. 3. 🔔 Set Alerts : Activate alerts for bullish/bearish trends and TP signals, ensuring you never miss a crucial market movement. 🔍 How It Works The Hullinger Bands indicator calculates a central line (basis) using a simple moving average, while the upper and lower bands are derived from a modified standard deviation of price movements. Unlike the traditional Bollinger Bands, the standard deviation in the Hullinger bands uses the Hull Moving Average instead of the Simple Moving Average to calculate the average variance for standard deviation calculations, this give the modified standard deviation output "memory" and the bands can be observed expanding even after the price has started consolidating, this can identify when the trend has exhausted better as the distance between the price and the bands is more apparent. The color of the bands changes dynamically, based on the proximity of the closing price to the bands, providing instant visual cues for market sentiment. The indicator also plots TP signals when price crosses these bands, allowing traders to make informed decisions. Additionally, alerts are configured to notify you of crucial market shifts, ensuring you stay ahead of the curve.
Wskaźnik Pine Script®
od AlgoAlpha
10
Normalized Hull Moving Average Oscillator w/ ConfigurationsThis indicator uniquely uses normalization techniques applied to the Hull Moving Average (HMA) and allows the user to choose between a number of different types of normalization, each with their own advantages. This indicator is one in a series of experiments I've been working on in looking at different methods of transforming data. In particular, this is a more usable example of the power of data transformation, as it takes the Hull Moving Average of Alan Hull and turns it into a powerful oscillating indicator. The indicator offers multiple types of normalization, each with its own set of benefits and drawbacks. My personal favorites are the Mean Normalization , which turns the data series into one centered around 0, and the Quantile Transformation , which converts the data into a data set that is normally distributed. I've also included the option of showing the mean, median, and mode of the data over the period specified by the length of normalization. Using this will allow you to gather additional insights into how these transformations affect the distribution of the data series. Types of Normalization: 1. Z-Score Overview: Standardizes the data by subtracting the mean and dividing by the standard deviation. Benefits: Centers the data around 0 with a standard deviation of 1, reducing the impact of outliers. Disadvantages: Works best on data that is normally distributed Notes: Best used with a mid-longer length of transformation. 2. Min-Max Overview: Scales the data to fit within a specified range, typically 0 to 1. Benefits: Simple and fast to compute, preserves the relationships among data points. Disadvantages: Sensitive to outliers, which can skew the normalization. Notes: Best used with mid-longer length of transformation. 3. Mean Normalization Overview: Subtracts the mean and divides by the range (max - min). Benefits: Centers data around 0, making it easier to compare different datasets. Disadvantages: Can be affected by outliers, which influence the range. Notes: Best used with a mid-longer length of transformation. 4. Max Abs Scaler Overview: Scales each feature by its maximum absolute value. Benefits: Retains sparsity and is robust to large outliers. Disadvantages: Only shifts data to the range , which might not always be desirable. Notes: Best used with a mid-longer length of transformation. 5. Robust Scaler Overview: Uses the median and the interquartile range for scaling. Benefits: Robust to outliers, does not shift data as much as other methods. Disadvantages: May not perform well with small datasets. Notes: Best used with a longer length of transformation. 6. Feature Scaling to Unit Norm Overview: Scales data such that the norm (magnitude) of each feature is 1. Benefits: Useful for models that rely on the magnitude of feature vectors. Disadvantages: Sensitive to outliers, which can disproportionately affect the norm. Not normally used in this context, though it provides some interesting transformations. Notes: Best used with a shorter length of transformation. 7. Logistic Function Overview: Applies the logistic function to squash data into the range . Benefits: Smoothly compresses extreme values, handling skewed distributions well. Disadvantages: May not preserve the relative distances between data points as effectively. Notes: Best used with a shorter length of transformation. This feature is actually two layered, we first put it through the mean normalization to ensure that it's generally centered around 0. 8. Quantile Transformation Overview: Maps data to a uniform or normal distribution using quantiles. Benefits: Makes data follow a specified distribution, useful for non-linear scaling. Disadvantages: Can distort relationships between features, computationally expensive. Notes: Best used with a very long length of transformation. Conclusion This indicator is a powerful example into how normalization can alter and improve the usability of a data series. Each method offers unique insights and benefits, making this indicator a useful tool for any trader. Try it out, and don't hesitate to reach out if you notice any glaring flaws in the script, room for improvement, or if you just have questions.
Wskaźnik Pine Script®
od TheArchbishop
1
Kalman Hull RSI [BackQuant]Kalman Hull RSI At its core, this indicator uses a Kalman filter of price, put inside of a hull moving average function (replacing the weighted moving averages) and then using that as a price source for the the RSI, very similar to the Kalman Hull Supertrend just processing price for a different indicator. This also allows it to make it more adaptive to price and also sensitive to recent price action. This indicator is also mainly built for trend-following systems PLEASE Read the following, knowing what an indicator does at its core before adding it into a system is pivotal. The core concepts can allow you to include it in a logical and sound manner. 1. What is a Kalman Filter The Kalman Filter is an algorithm renowned for its efficiency in estimating the states of a linear dynamic system amidst noisy data. It excels in real-time data processing, making it indispensable in fields requiring precise and adaptive filtering, such as aerospace, robotics, and financial market analysis. By leveraging its predictive capabilities, traders can significantly enhance their market analysis, particularly in estimating price movements more accurately. If you would like this on its own, with a more in-depth description please see our Kalman Price Filter. OR our Kalman Hull Supertrend 2. Hull Moving Average (HMA) and Its Core Calculation The Hull Moving Average (HMA) improves on traditional moving averages by combining the Weighted Moving Average's (WMA) smoothness and reduced lag. Its core calculation involves taking the WMA of the data set and doubling it, then subtracting the WMA of the full period, followed by applying another WMA on the result over the square root of the period's length. This methodology yields a smoother and more responsive moving average, particularly useful for identifying market trends more rapidly. 3. Combining Kalman Filter with HMA The innovative combination of the Kalman Filter with the Hull Moving Average (KHMA) offers a unique approach to smoothing price data. By applying the Kalman Filter to the price source before its incorporation into the HMA formula, we enhance the adaptiveness and responsiveness of the moving average. This adaptive smoothing method reduces noise more effectively and adjusts more swiftly to price changes, providing traders with clearer signals for market entries or exits. The calculation is like so: KHMA(_src, _length) => f_kalman(2 * f_kalman(_src, _length / 2) - f_kalman(_src, _length), math.round(math.sqrt(_length))) Use Case The Kalman Hull RSI is particularly suited for traders who require a highly adaptive indicator that can respond to rapid market changes without the excessive noise associated with typical RSI calculations. It can be effectively used in markets with high volatility where traditional indicators might lag or produce misleading signals. Application in a Trading System The Kalman Hull RSI is versatile in application, suitable for: Trend Identification: Quickly identify potential reversals or confirmations of existing trends. Overbought/Oversold Conditions: Utilize the dynamic RSI thresholds to pinpoint potential entry and exit points, adapting to current market conditions. Risk Management: Enhance trading strategies by integrating a more reliable measure of momentum, which can lead to improved stop-loss placements and exit strategies. Core Calculations and Benefits Dynamic State Estimation: By applying the Kalman Filter, the indicator continually adjusts its calculations based on incoming price data, providing a real-time, smoothed response to price movements. Reduced Lag: The integration with HMA significantly reduces lag, offering quicker responses to price changes than traditional moving averages or RSI alone. Increased Accuracy: The dual filtering effect minimizes the impact of price spikes and noise, leading to more accurate signaling for trades. Thus following all of the key points here are some sample backtests on the 1D Chart Disclaimer: Backtests are based off past results, and are not indicative of the future. INDEX:BTCUSD INDEX:ETHUSD BINANCE:SOLUSD
Wskaźnik Pine Script®
od BackQuant
Trend Continuation Signals [AlgoAlpha]Introducing the Trend Continuation Signals by AlgoAlpha 🌟🚀 Elevate your trading game with this multipurpose indicator, designed to pinpoint trend continuation opportunities as well as highlight volatility and oversold/overbought conditions. Whether you're a trading novice or a seasoned market veteran, this tool offers intuitive visual cues to boost your decision-making and enhance your market analysis. Let's explore the key features, how to use it effectively, and delve into the operational mechanics that make this tool a game-changer in your trading arsenal: Key Features: 🔥 Advanced Trend Detection : Leverages the Hull Moving Average (HMA) for superior trend tracking as compared to other MAs, offering unique insights into market momentum. 🌈 Volatility Bands : Implements adjustable bands around the trend line, which evolve with market conditions to highlight potential trading opportunities. ⚡ Trend Continuation Signals : Identifies bullish and bearish continuation signals, equipping you with actionable signals to exploit the prevailing market trend. 🎨 Intuitive Color Coding : Employs a vibrant color scheme to distinguish between uptrends, downtrends, and neutral phases, facilitating easy interpretation of the indicator's insights. 🛠 How to Use "Trend Continuation Signals ": 🔍 Setting Up : Incorporate the indicator onto your chart and customize the indicator to suite your preferences. 👀 Reading the Signals : Pay attention to the color-coded trend lines and volatility bands. Green indicates an uptrend, red signifies a downtrend, and gray denotes a neutral market condition. 📈 Identifying Entry Points : Look for bullish (▲) and bearish (▼) continuation icons below or above the price bars as signals for potential entry points for long or short positions, respectively. 🔄 Confirmation : Validate your trades with further analysis or other indicators. The Trend Continuation Signals are most effective when complemented by other technical analysis tools or fundamental insights. 📉 Risk Management : Implement stop-loss orders in line with your risk appetite and adjust them based on the volatility bands provided by the indicator to safeguard your investments. How It Operates: The essence of the indicator is captured through the hull moving averages for both the primary and secondary lines, set at periods of 93 and 50, respectively, to reflect market trends and pullbacks that trigger the continuation signals every time price recovers from a detected pullback. Volatility is quantified through the standard deviation of the midline, magnified by a factor, establishing the upper and lower trend band boundaries. Further volatility bands are plotted around the main volatility band, providing a granular view of market volatility and potential breakout or breakdown zones. Market trend direction is determined by comparing the HMA line's current position to its previous value, enhanced by the secondary line to identify continuation patterns. Embrace the power of the Trend Continuation Signals to enhance your trading strategy! It is important to note that all indicators are best used in confluence with other forms of analysis, happy trading! 📊💥
Wskaźnik Pine Script®
od AlgoAlpha
14
SuperTrend Fisher [AlgoAlpha]🚀🌟 Introducing the "Super Fisher" by AlgoAlpha, a sophisticated and versatile tool crafted for the discerning trader. This innovative indicator merges the precision of the Fisher Transform with the adaptability of the SuperTrend methodology, offering a fresh perspective on market analysis. 📈🔍 Key Features: 🔶 Customizable Settings: Tailor the indicator to your trading style with adjustable inputs like "Fair-value Period" and "EMA Length". Choose your preferred "Up Color" and "Down Color" for a personalized visual experience. 🔶 Advanced Fisher Transform: At the heart of this tool is the Fisher Transform, an algorithm renowned for pinpointing potential price reversals by normalizing asset prices. 🔶 Integrated SuperTrend Functionality: This feature adds a layer of trend analysis, using the refined Fisher Transform values to generate dynamic, trend-following signals. 🔶 Enhanced Visualization: Clearly distinguishable bullish and bearish market phases, thanks to the color-coded plots of Fisher Transform and SuperTrend values. 🔶 Overbought/Oversold Levels: Visual plots and fills for these levels provide additional insights into market extremities. 🔶 Configurable Alerts: Stay informed with alerts for critical market movements like crossing the zero line or the SuperTrend. Logic: The "Super Fisher" operates on a sophisticated algorithm: 1. Fisher Transform Calculation: It starts by calculating the Detrended Price Oscillator (DPO) and its standard deviation. These values are then transformed using the Fisher Transform formula, which is subsequently smoothed with a Hull Moving Average. 2. SuperTrend Integration: The SuperTrend function employs the Fisher Transform values to create a dynamic trend-following tool. It calculates upper and lower bands and determines which one to use for market direction based on whether the fisher is above or below the bands, offering an insightful view of the price trend. 3. Overbought/Oversold Identification: The tool plots specific levels to indicate overbought and oversold conditions, aiding in the identification of potential reversal points. Here's a closer look at the core calculations: Calculates the Fisher Transform: value = 0.0 value := round_(.66 * ((src - low_) / (high_ - low_) - .5) + .67 * nz(value )) fish1 = 0.0 fish1 := .5 * math.log((1 + value) / (1 - value)) + .5 * nz(fish1 ) fish1 := ta.hma(fish1, l) Calculates the SuperTrend: supertrend(factor, atrPeriod, srcc) => src = srcc atr = atrr(srcc, atrPeriod) upperBand = src + factor * atr lowerBand = src - factor * atr prevLowerBand = nz(lowerBand ) prevUpperBand = nz(upperBand ) lowerBand := lowerBand > prevLowerBand or srcc < prevLowerBand ? lowerBand : prevLowerBand upperBand := upperBand < prevUpperBand or srcc > prevUpperBand ? upperBand : prevUpperBand int direction = na float superTrend = na prevSuperTrend = superTrend if na(atr ) direction := 1 else if prevSuperTrend == prevUpperBand direction := srcc > upperBand ? -1 : 1 else direction := srcc < lowerBand ? 1 : -1 superTrend := direction == -1 ? lowerBand : upperBand How to Use: 📊 To maximize the potential of the "Super Fisher", follow these steps: 1. Customize Settings: Adjust the inputs to match your trading preferences. This includes setting the periods for the Fisher Transform and SuperTrend, as well as choosing colors for better visualization. 2. Analyze the Market: Observe the Fisher Transform and SuperTrend plots to gauge market direction. Pay special attention to color changes, as they indicate shifts in market sentiment. 3. Identify Extremes: Use the overbought and oversold plots to understand potential reversal points. 4. Set Alerts: Utilize the alert functionality to stay informed about significant market movements, ensuring you never miss an opportunity. 🔥 In summary the "Super Fisher" is a comprehensive market analysis tool designed to enhance your trading insights and decision-making process. 📉🌟🚨
Wskaźnik Pine Script®
od AlgoAlpha
2
MultiMovesCombines 3 different moving averages together with the linear regression. The moving averages are the HMA, EMA, and SMA. The script makes use of two different lengths to allow the end user to utilize common crossovers in order to determine entry into a trade. The edge of each "cloud" is where each of the moving averages actually are. The bar color is the average of the shorter length combined moving averages. -The Hull Moving Average (HMA), developed by Alan Hull, is an extremely fast and smooth moving average. In fact, the HMA almost eliminates lag altogether and manages to improve smoothing at the same time. A longer period HMA may be used to identify trend. -The exponential moving average (EMA) is a technical chart indicator that tracks the price of an investment (like a stock or commodity) over time. The EMA is a type of weighted moving average (WMA) that gives more weighting or importance to recent price data. -A simple moving average (SMA) is an arithmetic moving average calculated by adding recent prices and then dividing that figure by the number of time periods in the calculation average. -The Linear Regression Indicator plots the ending value of a Linear Regression Line for a specified number of bars; showing, statistically, where the price is expected to be. Instead of plotting an average of past price action, it is plotting where a Linear Regression Line would expect the price to be, making the Linear Regression Indicator more responsive than a moving average. The lighter colors = default 50 MA The darker colors = default 200 MA
Wskaźnik Pine Script®
od s3raphic333
Hull Suite Oscillator - Normalized | IkkeOmarThis script is based off the Hull Suite by @InSilico. I made this script to provide and calculate the Hull Moving Average (HMA) based on the chosen variation (HMA, TMA, or EMA) and length to then normalize the HMA values to a range of 0 to 100. The normalized values are further smoothed using an exponential moving average (EMA). The smoothed oscillator is plotted as a line, where values above 80 are colored red, values below 20 are colored green, and values between 20 and 80 are colored blue. Additionally, there are horizontal dashed lines at the levels of 20 and 80 to serve as reference points. Explanation for the code: The script uses the close price of the asset as the source for calculations. The modeSwitch parameter allows selecting the type of Hull variation: Hma, Thma, or Ehma. The length parameter determines the calculation period for the Hull moving averages. The lengthMult parameter is used to adjust the length for higher timeframes. The oscSmooth parameter determines the lookback period for smoothing the oscillator. There are three functions defined for calculating different types of Hull moving averages: HMA, EHMA, and THMA. These functions take the source and length as inputs and return the corresponding Hull moving average. The Mode function acts as a switch and selects the appropriate Hull variation based on the modeSwitch parameter. It returns the chosen Hull moving average. The script calculates the Hull moving averages using the selected mode, source, and length. The main Hull moving average is stored in the _hull variable, and aliases are created for the main Hull moving average (HULL), the main Hull value (MHULL), and the secondary Hull value (SHULL). To create the normalized oscillator values, the script finds the highest and lowest values of the Hull moving average within the specified length. It then normalizes the Hull values to a range of 0 to 100 using a formula. This normalized oscillator represents the strength of the trend. To smooth out the oscillator values, an exponential moving average is applied using the oscSmooth parameter. The smoothed oscillator is plotted as a line chart. The line color is determined based on the oscillator value using conditional statements. If the oscillator value is above or equal to 80, the line color is set to red. If it is below or equal to 20, the color is green. Otherwise, it is blue. The linewidth is set to 2. Additionally, two horizontal reference lines are plotted at levels 20 and 80 for visual reference. They are displayed in gray and dashed style.
Wskaźnik Pine Script®
od IkkeOmar
1
Trend forecasting by c00l75----------- ITALIANO ----------- Questo codice è uno script di previsione del trend creato solo a scopo didattico. Utilizza una media mobile esponenziale (EMA) e una media mobile di Hull (HMA) per calcolare il trend attuale e prevedere il trend futuro. Il codice utilizza anche una regressione lineare per calcolare il trend attuale e un fattore di smorzamento per regolare l’effetto della regressione lineare sulla previsione del trend. Infine il codice disegna due linee tratteggiate per mostrare la previsione del trend per i periodi futuri specificati dall’utente. Se ti piace l'idea mettimi un boost e lascia un commento! ----------- ENGLISH ----------- This code is a trend forecasting script created for educational purposes only. It uses an exponential moving average (EMA) and a Hull moving average (HMA) to calculate the current trend and forecast the future trend. The code also uses a linear regression to calculate the current trend and a damping factor to adjust the effect of the linear regression on the trend prediction. Finally, the code draws two dashed lines to show the trend prediction for future periods specified by the user. If you like the idea please put a boost and leave a comment!
Wskaźnik Pine Script®
od c00l75
8