Hull-trend — Göstergeler ve Stratejiler

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.

Adaptive Causal Wavelet Trend Filter The Adaptive Causal Wavelet Trend Filter is a technical indicator implementing causal approximations of wavelet transform properties for better trend detection with adaptive volatility response. The Adaptive Causal Wavelet Trend Filter (ACWTF) applies mathematical principles derived from wavelet analysis to financial time series, providing robust trend identification with minimal lag. Unlike conventional moving averages, it preserves significant price movements while filtering market noise through signal processing that i describe below. I was inspired to build this indicator after reading " Wavelet-Based Trend Identification in Financial Time Series " by In, F., & Kim, S. 2013 and reading about Mexican Hat wavelet filters. The ACWTF maintains optimal performance across varying market regimes without requiring parameter adjustments by adapting filter characteristics to current volatility conditions. Mathematical Foundation Inspired by the Mexican Hat wavelet (Ricker wavelet), this indicator implements causal approximations of wavelet filters optimized for real-time financial analysis. The multi-resolution approach identifies features at different scales and the adaptive component dynamically adjusts filtering characteristics based on local volatility measurements. Key mathematical properties include: Non-linear frequency response adaptation Edge-preserving signal extraction Scale-space analysis through dual filter implementation Volatility-dependent coefficient adjustment, which I love Filter Methods Adaptive: Implements a volatility-weighted combination of multiple filter types to optimize the time-frequency resolution trade-off Hull: Provides a causal approximation of wavelet edge detection properties with forward-projection characteristics VWMA: Incorporates volume information into the filtering process for enhanced signal detection EMA Cascade: Creates a multi-pole filter structure that approximates certain wavelet scaling properties Suggestion: try all as they will provide slightly different signals. Try also different time-frames. Practical Applications Trend Direction Identification: Clear visual trend direction with reduced noise and lag Regime Change Detection: Early identification of significant trend reversals Market Condition Analysis: Integrated volatility metrics provide context for current market behavior Multi-timeframe Confirmation: Alignment between primary and secondary filters offers additional confirmation Entry/Exit Timing: Filter crossovers and trend changes provide potential trading signals The comprehensive information panel provides: Current filter method and trend state Trend alignment between timeframes Real-time volatility assessment Price position relative to filter Overall trading bias based on multiple factors Implementation Notes Log returns option provides improved statistical properties for financial time series Primary and secondary filter lengths can be adjusted to optimize for specific instruments and timeframes The indicator performs particularly well during trend transitions and regime changes The indicator reduces the need for using additional indicators to check trend reversion

RSI Trend RSI Hull Trend is a hybrid indicator with RSI of HULL Signal. The Hull MA is combined with RSI to see if the Hull MA Buy/Sell Signal is in overbought or oversold condition. Buy Sell Signals are plotted based on settings of OB/OS or RSI. This indicator is very useful to see if the Trend is in Exhaustion or Beginning of a Trend. Entry and Exit conditions can be more precise based on OB/OS condition of price action. In addition normal RSI trend is plotted with trend color from Hull MA. Best Performance with Heiken Ashi Candles. OB/OS Settings provided Hull Buy/Sell Signals plotted Double RSI FAST and DEFAULT signal with crossover Bar Color applied based on Hull RSI Trend Hull Trend + RSI + Price Action

Hull Trend with Kahlman This is an update to the idea of The Kahlman smoother makes the signal more precise (by one candle).