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Adaptive Nadaraya-Watson (Non Repainting) [Metrify]To understand this implementation of the Nadaraya-Watson estimator, we have to look at the core equation governing non-parametric regression. This script aren't trying to average prices; we are trying to find the probability density of where price should be relative to its recent history. 1. The Kernel Physics (Bandwidth Modulation) In standard kernel regression, you have a bandwidth parameter (h). This controls the "smoothness" of the curve. If h is too low, the curve jitters with every tick of noise. If h is too high, it acts like a sluggish SMA. A static h fails because market volatility is dynamic. When the market explodes (high volatility), a tight bandwidth generates false signals. When the market sleeps, a wide bandwidth misses the micro-trends. It try solving this by making h a function of the Asset's volatility ratio: heff​=h×max(0.5,min(SMA(ATR20​,100)ATR20​​,2.0)) If the current ATR(20) is double the long-term average (100), the bandwidth doubles. This forces the estimator to "zoom out" during chaos, effectively ignoring noise that would otherwise look like a reversal. vol_ratio = use_vol ? vol_raw / (vol_base == 0 ? 1 : vol_base) : 1.0 vol_mod = math.max(0.5, math.min(vol_ratio, 2.0)) h_eff = h_val * vol_mod 2. The Gaussian Loop (Endpoint Estimation) Standard Nadaraya-Watson scripts repaint because they calculate the regression over a full window centered on the bar. To make this usable for live trading, we must calculate the Endpoint Estimate. We iterate backward from the current bar (i=0) to the lookback limit. For every historical price Xi​, we calculate a weight wi​ based on how far away it is in time (distance). The weight is derived from the Gaussian Kernel function: wi​=exp(−2heff2​i2​) Price data closer to the current bar (i=0) gets a weight near 1.0. Data further away (i=50) decays exponentially toward 0. for i = 0 to lookback by 1 float dist = float(i) float w = math.exp(-math.pow(dist, 2) / (2 * math.pow(h_eff, 2))) num := num + w * src den := den + w 3. Statistical Deviation (MAE vs. StDev) Most Bollinger Band-style indicators use Standard Deviation (Root Mean Square). The problem with StDev is that it squares the errors, which heavily penalizes large outliers. In crypto or volatile forex pairs, one wick can blow out the bands for 20 bars. This one use Mean Absolute Error (MAE) instead. MAE=N1​∑∣Price−y^​∣ MAE is linear. It measures the average distance price strays from the kernel estimate without squaring the penalty. This creates "tighter" bands that adhere closer to price action during normal trend behavior but don't expand ridiculously during a flash crash. Pine Script float error = math.abs(src - y_hat) float mae = ta.sma(error, lookback) We project two sets of bands: Inner Band (Balanced): The "Noise Zone". Price inside here is considered random walk. Outer Band (Precision): The "Exhaustion Zone". Price reaching here is statistically unlikely (2.8x MAE). Input & Visual Summary Kernel Physics: h_val: The base smoothness. Lower (e.g., 6) = faster, noisier. Higher (e.g., 10) = slower, smoother. use_vol: Keep this TRUE. It prevents the bands from being too tight during news events. Envelope Statistics: mult_in / mult_out: These are your risk settings. 1.5/2.8 is a standard deviation-like setting suited for MAE.
Pine Script® 인디케이터
Metrify의
SFP Trend & VWAP Liquidity Pro [Zofesu]🎯 SFP Trend & VWAP Liquidity Pro Master the Flow with Institutional Precision. It was primarily built on Nasdaq, sometimes works on Crypto and Commodities, mostly on Indices. Suitable for periods when the market is going sideways. Requires longer setup. This indicator is a high-performance trading tool designed to identify Swing Failure Patterns (SFP) while maintaining strict alignment with market momentum. By combining Dynamic Liquidity Zones with a Dual-Filter Trend Engine , it ensures you only trade the most high-probability sweeps in the direction of institutional money. 🧠 The Philosophy Trading liquidity sweeps (SFP) without a trend filter is like catching falling knives. This tool solves that by requiring Confluence . It identifies where retail stop-losses are being hunted and confirms if the major trend (VWAP/MA) is ready to defend that level. 🛠️ Key Features & Functionality ⚡ Smart SFP Detection: Automatically tracks historical Swing Highs and Lows to detect "fakeouts" where price sweeps liquidity and closes back within the range. 🛡️ Dual-Filter Trend Engine: Two fully customizable filters (EMA, SMA, HMA, or VWAP). You can use them to define a "Golden Zone" for entries. ⚓ Professional VWAP Anchoring: Choose how your volume-weighted price resets—Session, Week, Month, or Year. This allows you to track institutional value from intraday to long-term swing perspectives. 📊 Dynamic Liquidity Lines: Real-time visual tracking of the most recent "Upper" and "Lower" liquidity levels. ⚙️ Customizable Modes The Institutional Fort: Use two slow MAs (e.g., 2000 & 5000) for maximum safety. Only take SFPs that align with the long-term macro trend. The Volume Specialist: Combine one MA with a Weekly/Monthly VWAP. This aligns price action with pure volume-weighted value. The Pure Aggressor: Turn off MA filters and use only Session VWAP for high-frequency scalping and rapid liquidity plays. 🚀 How to Trade with STVL Pro Long Signal (BULL SFP): Price sweeps below a Swing Low but closes above it + Price is trending above your active Filters (A & B). Short Signal (BEAR SFP): Price sweeps above a Swing High but closes below it + Price is trending below your active Filters (A & B). You can preset filter A to EMA 2000 You can preset filter B to HMA 5000. If the price is approaching the green lookback, just switch filter B to VWAP, you don't have to change the numbers. VWAP automatically uses the "Session" setting. So you will have EMA as support on the chart and VWAP will search for SFP. If HMA is closer to the red lookback zone, switch filter A to VWAP, it will search for SFP for short. SFP label may not always appear, it is very strict. ⚠️ Disclaimer Past performance does not guarantee future results. Always use proper risk management. Designed for disciplined traders who value quality over quantity.
Pine Script® 인디케이터
Zofesu의
Occurrence Scanner | MA Resilience & Breakout LogicThis indicator is designed to quantify the reliability of a Moving Average (MA) as a dynamic Support or Resistance level. Unlike standard crossover indicators that generate signals on every touch, this script employs a rigorous "Zone Tolerance" and "Temporal Confirmation" logic to filter out noise and classify price action into three distinct behaviors: Valid Bounce, Confirmed Breakout, or False Breakout (Trap). It also integrates an optional Volatility Filter (based on TTM Squeeze mechanics) to prevent false signals during low-volatility "chop" regimes. HOW IT WORKS: 1. The "Safe Zone" (Buffer Logic): Standard MAs are thin lines. This script creates a programmable "Road" around the MA (defined by the Zone Tolerance % input). A touch is only considered a potential breakout if the price closes outside this zone. Wicks that pierce the MA but close inside the zone are treated as Bounces (respecting the level). 2. Event Classification (The Decision Engine): Once the price interacts with the MA Zone, a "Sovereignty Window" (Lookahead Timer) is activated to monitor the subsequent candles: ✅ Bounce: Price tests the MA but never closes outside the Safe Zone during the window. The MA held as support/resistance. ❌ Breakout (Breakdown/Breakup): Price closes outside the Safe Zone. A strict "2-Consecutive Close" logic is applied to confirm the trend change immediately, avoiding premature signals. ⚠️ False Break: Price momentarily closes outside the zone but aggressively reverses to the opposite side within the time window. This identifies "Bull/Bear Traps". 3. The Volatility Filter (Anti-Chop): Market consolidation often leads to MA whipsaws. The script calculates Bollinger Bands (2.0 std) vs. Keltner Channels (1.5 ATR). If the Squeeze Filter is enabled in settings, the script forces the scanner to IGNORE any MA touches while volatility is compressed (Squeeze ON). This ensures signals are only generated during active trends. SETTINGS: MA Type & Length: Choose between SMA or EMA and the period (e.g., 20, 50, 200). Zone Tolerance (+/- %): The buffer width. Default is 0.2%. Higher values filter more noise. Lookahead Candles: The confirmation window size. Squeeze Filter: Toggle On/Off to ignore signals during low volatility regimes. INTENDED USE: This tool is intended for Swing Traders and Scalpers looking to statistically validate which Moving Average is being respected by a specific asset. It automates the "visual backtest" process, providing a Dashboard with success rates for Bounces vs. Breaks.
Pine Script® 인디케이터
impressive_Storkj9gr3의
WT Crossover Strategy Main Chart Indicator# WT Crossover Strategy Main Chart Indicator ## Indicator Overview The WT Crossover Strategy Main Chart Indicator is a trading signal system based on the Wave Trend (WT) indicator, specifically designed for the TradingView platform. This indicator combines WT indicator crossover signals with ATR-based take profit and stop loss calculations, providing traders with clear entry signals and explicit risk management references. ## Core Features ### 1. Trading Signal Identification - WT Indicator Crossover Signals : Identifies potential trend reversals based on golden crosses/death crosses between WT1 and WT2 - EMA Trend Filtering : Optional EMA20 and EMA200 trend filtering to help confirm trend direction - Entry Point Markers : Green triangles mark long entry points, red triangles mark short entry points ### 2. Risk Management Visualization - Fixed-Length SL/TP Lines : Generates 10-bar length dashed lines at entry, marking take profit and stop loss prices - Trigger Status Display : When take profit or stop loss is triggered, dashed lines turn solid and display "Take Profit Triggered" or "Stop Loss Triggered" labels - ATR-Based Calculations : Automatically calculates take profit and stop loss prices using ATR indicator, adapting to different market volatility ### 3. Customizable Parameters - Preset Symbols : Built-in optimized parameters for Gold, Rebar, Fuel Oil, Bitcoin, Ethereum, etc. - Line Length Adjustment : Customizable display length for take profit and stop loss lines - ATR Parameter Adjustment : Adjustable ATR period, stop loss multiplier, and take profit multiplier - Filter Control : Enable or disable zone filtering and trend filtering ## Technical Features - Fixed-Length Lines : Take profit and stop loss lines only display for a fixed length, avoiding chart clutter - Status Change Markers : Intuitively displays take profit/stop loss status through line style changes and labels - Responsive Design : Automatically adapts to different timeframes and symbols - Clear Visual Hierarchy : Reasonable color scheme and marker size ensure clear and readable charts ## Usage Instructions 1. Load the Indicator : Apply the indicator to your chart 2. Select Symbol : Choose your trading symbol from the presets or manually adjust parameters 3. Observe Signals : - Consider going long when green triangles appear - Consider going short when red triangles appear 4. Set Stop Loss : Reference the red dashed line for stop loss placement 5. Set Take Profit : Reference the green dashed line for take profit placement 6. Monitor Status : When dashed lines turn solid and display labels, it indicates take profit or stop loss has been triggered ## Application Scenarios - Trend Trading : Combined with EMA filtering to identify medium-term trends - Swing Trading : Utilizes WT indicator's overbought/oversold characteristics to capture price reversals - Risk Control : Implements scientific risk-reward ratio management through ATR-calculated take profit and stop loss - Strategy Verification : Serves as an independent indicator to verify your trading strategy signals ## Notes - This indicator is for reference only and does not constitute investment advice - It is recommended to use in conjunction with other technical analysis tools - Please thoroughly backtest before live trading to adapt to your trading style - Different symbols may require parameter adjustments for optimal results
Pine Script® 인디케이터
redmagic533의
OU Signals Overlay2 OU SIGNALS OVERLAY This indicator is designed to be used on the main price chart. WHAT IT DOES
OU Signals Overlay uses the same logic as the OU Z-score indicator but does not display the Z-score itself.
Instead, it visualizes entries, exits, trade zones, and the second asset directly on the price chart. HOW IT WORKS • The same spread and mean-reversion logic is calculated internally • Entry and exit signals are identical to the Z-score indicator • The second asset is plotted as a normalized line on the main chart • Entry points are marked with arrows • Exit points are marked with a cross • Trade zones are highlighted only after a position is opened HOW TO USE
This indicator is primarily a visualization and execution tool. It allows the trader to: • See where exactly trades occur on the price chart • Monitor price behavior during a spread trade • Visually confirm that signals match the Z-score indicator All parameters must match the OU Z-score indicator for signals to align. RECOMMENDED TO USE WITH • Ornstein–Uhlenbeck Z-score as the signal source • Correlation Stability to ensure the pair remains statistically meaningful
Pine Script® 인디케이터
Trigonum_Trade의
Trend Regime JMA Bands (50-150-200)Trend Regime JMA Bands is a visual market-context indicator designed to help traders understand overall trend structure and short-term participation using adaptive Jurik Moving Average (JMA) bands. This script separates market behavior into two distinct layers: 🔹 Structure (Slow Band) Defines the dominant market regime using classic 50 / 150 / 200 moving-average relationships. Helps identify bullish, bearish, and transitional environments. Visual intensity adjusts based on market conditions for clarity. 🔹 Participation (Fast Band) Represents short-term price engagement aligned with the prevailing structure. Counter-trend momentum is intentionally filtered out. Designed to highlight participation only when aligned with the broader trend. A Choppiness Index (CHOP) calculation is used only to adjust visual confidence of the structural band. CHOP does not affect trend direction, regime state, or calculations. This indicator is intended for analysis and visual context only. It does not generate trade signals, entries, exits, predictions, or recommendations. ⚠️ DISCLAIMER SECTION (REQUIRED & SAFE) Add this as a separate paragraph in the description: Disclaimer This script is provided for educational and analytical purposes only.It is not financial advice. Trading involves risk, and past performance does not guarantee future results. The author assumes no responsibility for trading decisions made using this indicator.
Pine Script® 인디케이터
Market_Logic_India의
For Loop THMA ~ CharonQuantThe For Loop THMA is a trend classification and momentum confirmation indicator designed to measure directional strength through relative price dominance, not raw crossings. This indicator blends a Triple Hull Moving Average structure with a for-loop comparison engine and multiple trend quality filters to reduce noise and false signals. Concept Overview The core idea behind this indicator is simple: Instead of asking “did price cross a line?”, it asks “How often is the price stronger than its recent past?” By looping over previous THMA values and comparing them to the current value, the indicator builds a directional score that reflects internal momentum and persistence. This approach allows trends to be evaluated statistically rather than emotionally. Indicator Components The For Loop THMA is composed of four layers: • Triple Hull Moving Average (THMA) as the smoothed price backbone • For-loop counter to quantify relative dominance over a lookback window • EMA trend filter to align signals with higher-timeframe bias • ADX + DMI filter to ensure sufficient trend strength Signals are only produced when all components align. For-Loop Logic The for-loop compares the current THMA value to its past values over a user-defined range. Each comparison increments or decrements a counter, producing an oscillator that reflects bullish or bearish pressure. Optional weighting can be enabled to give more importance to recent price action. This counter becomes the primary decision engine of the indicator. Visual Interpretation • The oscillator displays the strength and direction of the trend • Threshold lines define bullish and bearish regimes • Bar coloring reflects the active trend state • Color intensity adapts to directional confidence Credits and Inspiration This indicator is inspired by and builds upon: • THMA ~ CharonQuant • For Loop MA Indicator from CraftMan18 Development and usage notes: You must tweak the parameters to fit your market, timeframe, and trading style. If you do not read this description or do not understand what the indicator is designed to do, do not use it. Indicators amplify both discipline and mistakes. Important reminder: No single indicator is sufficient on its own.
Pine Script® 인디케이터
CharonQuant의
Brahmastra Moving Average ADX🔱 BRAHMASTRA MOVING AVERAGE ADX 🔱 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ A precision trend detection system that fuses the Average Directional Index (ADX) with a dynamic Weighted Moving Average (WMA) to deliver crystal-clear trend signals. █ HOW IT WORKS ━━━━━━━━━━━━━━ This indicator analyzes both TREND STRENGTH (via ADX) and TREND DIRECTION (via +DI/-DI) to color-code the moving average: 🟢 GREEN MA = Strong Uptrend (ADX > threshold + Bullish bias) 🔴 RED MA = Strong Downtrend (ADX > threshold + Bearish bias) ⚫ GRAY MA = Ranging/Weak Trend (ADX below threshold) █ KEY FEATURES ━━━━━━━━━━━━━━ ✅ ADX-Based Trend Confirmation - Only signals when trend strength is confirmed ✅ Color-Coded WMA - Instantly identify trend direction at a glance ✅ Buy/Sell Signals - Visual markers on trend reversals ✅ Real-Time Info Panel - Live ADX, +DI/-DI values, and trend status ✅ Customizable Visuals - Adjust colors, line width, and fill zones ✅ Built-In Alerts - Get notified on trend changes █ SETTINGS ━━━━━━━━━━ - DI Length (default: 14) - Period for +DI/-DI calculation - ADX Smoothing (default: 14) - Smoothing period for ADX - ADX Trend Threshold (default: 18) - Minimum ADX to confirm trend - MA Length (default: 9) - Period for the Weighted Moving Average █ HOW TO USE ━━━━━━━━━━━━ 1. TREND TRADING: Enter long when MA turns GREEN, short when RED 2. RANGE FILTER: Avoid trades when MA is GRAY (ranging market) 3. CONFIRMATION: Use the info panel to verify ADX strength before entry 4. ALERTS: Set up alerts to catch trend changes automatically █ BEST TIMEFRAMES ━━━━━━━━━━━━━━━━━ Works on all timeframes. Recommended: 15M, 1H, 4H, Daily █ CREDITS ━━━━━━━━━ Developed by Brahmastra Trading Systems Inspired by the legendary ADX indicator by J. Welles Wilder Jr. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 Like & Follow for more premium indicators!
Pine Script® 인디케이터
StockEngineering의
Nokor Traders CRTThis indicator combines three powerful tools in one to improve market analysis and trading decisions: • Higher Timeframe Candlestick View – Helps traders understand overall market structure, momentum, and key price behavior from larger timeframes. • Asia, London, and New York Killzone Sessions – Highlights major market trading sessions to help identify high-liquidity periods and potential volatility opportunities. • Heikin Ashi Trend Line – Assists in detecting trend direction and potential reversal points with smoother price visualization. This all-in-one indicator is designed to help traders identify market bias, session volatility, and trend changes more clearly and efficiently. Admin t.me
Pine Script® 인디케이터
lorshousann의
Cyberpunk Neural Flux■ Core Concept: The "Cyberpunk Neural Flux" is engineered based on the "Trend Template" logic favored by institutional growth investors and hedge funds. It monitors the interaction between the 150 MA (The Institutional Baseline) and the 15 MA (High-Frequency Momentum). Large players often use the 150 MA as the "line in the sand" for a healthy trend. This indicator visualizes when short-term momentum aligns with this critical institutional baseline, while the "Noise Gate" filters out choppy price action that traps retail traders. ■ Visual Decoding (Candle Colors) 1. ⚪ WHITE (Reversal BUY) 　・Context: Downtrend (Magenta Background). 　・Trigger: Price breaks ABOVE the Upper Gate (Fast MA + ATR). 　・Meaning: Strong momentum has overcome the downtrend resistance. 2. 🟡 GOLD (Reversal SELL) 　・Context: Uptrend (Cyan Background). 　・Trigger: Price breaks BELOW the Lower Gate (Fast MA - ATR). 　・Meaning: Support has collapsed with strong momentum. 3. 🌑 GRAY (Neutral / Noise) 　・Trigger: Price is trapped inside the "Noise Gate" (between Upper & Lower bands). 　・Meaning: DO NOT TRADE. The market is indecisive or consolidating. 4. 🟦 CYAN / 🟪 MAGENTA (Trend Follow) 　・Meaning: Trend is healthy and continuing outside the noise gate. ■ コンセプト: 「Cyberpunk Neural Flux」は、ヘッジファンドや機関投資家が重視する「トレンド・テンプレート」のロジックに基づいて設計されています。 彼らが「中期トレンドの生命線」として防衛する 150MA（ベースライン）と、短期アルゴリズムが反応する 15MA（モメンタム）の相互作用を監視します。大口投資家が意識するトレンド方向と、短期的な勢いが合致した瞬間のみを可視化し、「ノイズゲート」機能によって個人投資家が狩られやすいレンジ相場を徹底的に排除します。 ■ 色の読み方（ローソク足） 1. ⚪ WHITE / 白（反転 - 買い） 　・状況: 背景がマゼンタ（下落中）。 　・条件: 価格が「15MA ＋ ノイズ幅」を上抜いた。 　・意味: 単なるMAタッチではなく、明確な反発エネルギーが確認された状態。 2. 🟡 GOLD / 金（反転 - 売り） 　・状況: 背景がシアン（上昇中）。 　・条件: 価格が「15MA － ノイズ幅」を下抜いた。 　・意味: 単なる押し目ではなく、サポートラインが明確に決壊した状態。 3. 🌑 GRAY / グレー（ノイズ - 待機） 　・条件: 価格がゲートの内側（15MA付近）で推移している。 　・意味: 「手出し無用」。方向感がなく、エネルギーを溜めている状態です。 4. 🟦 シアン / 🟪 マゼンタ（順張り） 　・意味: トレンドが健全に継続中。
Pine Script® 인디케이터
ken5_5489의
Smooth Accelarating RSISmooth Accelerating RSI (SA RSI) | MisinkoMaster Smooth Accelerating RSI is a refined long-term momentum oscillator designed to deliver smoother RSI behavior while preserving the ability to react when momentum begins to accelerate. The indicator focuses on reducing noise typically found in standard RSI calculations while maintaining responsiveness during meaningful trend transitions. This makes it particularly suitable for traders who prefer longer-term structure analysis or want cleaner signals across volatile markets. Key Features Smoother, longer-term RSI behavior compared to standard RSI Momentum acceleration component for faster reaction to trend changes Multiple moving average types supported for flexible smoothing behavior Configurable trend and value-zone thresholds Visual trend labeling and colored candles for intuitive reading Divergence-style momentum histogram for shift detection Adaptive smoothing to balance responsiveness and stability How It Works The indicator builds on traditional RSI logic but introduces layered smoothing and acceleration techniques to improve stability while preserving responsiveness. Instead of relying on a single smoothing pass, the oscillator blends multiple smoothing layers and applies adaptive acceleration logic. This allows the RSI to remain calm during consolidation yet react quickly when momentum begins to expand. An additional momentum change component highlights acceleration or deceleration phases, helping traders detect potential trend continuation or exhaustion. The result is an RSI variant that behaves more smoothly over longer horizons while still adapting when market momentum shifts. Inputs Overview Source — Selects the price source used in RSI calculations RSI Length — Controls the primary RSI calculation period Smooth Accelerating Length — Controls final smoothing and acceleration responsiveness MA Type — Selects which moving average method is applied throughout calculations ALMA Offset & Sigma — Parameters used only when ALMA smoothing is selected Upper Threshold — Level signaling bullish trend bias Lower Threshold — Level signaling bearish trend bias Overbought Threshold — Defines potential exhaustion zones on the upside Oversold Threshold — Defines potential exhaustion zones on the downside Usage Notes Designed for smoother, longer-term momentum tracking Suitable for traders preferring fewer but more stable signals Momentum histogram helps identify acceleration or weakening trends Threshold crossings can indicate directional shifts Overbought and oversold zones may help locate pullback opportunities Works best when combined with price action or confirmation tools Always test parameters according to asset volatility and timeframe Summary Smooth Accelerating RSI provides a calmer and more structured alternative to standard RSI while preserving the ability to detect meaningful momentum changes. It is well suited for traders seeking cleaner long-term signals without losing awareness of emerging trend acceleration.
Pine Script® 인디케이터
MisinkoMaster의
[Saga Trading] Moving Average ProThis open-source indicator provides trend and market structure context using multiple moving averages. It allows traders to visualize several moving averages simultaneously, with configurable calculation methods (EMA, SMA, or RMA), in order to better assess trend alignment, momentum, and structural bias. Common references such as the 50-period and 200-period averages are included because they are widely observed by market participants. Crossovers between these averages (often referred to as golden or death crosses) are displayed as structural information only and should not be interpreted as trading signals. The purpose of this tool is to help traders understand market structure and trend context, not to generate entries or exits. This indicator is intended for educational and analytical purposes and should be used alongside price action and broader market analysis.
Pine Script® 인디케이터
KevSagaT의
WMA MAD Trend | RakoQuantWMA MAD Trend | RakoQuant is a robust volatility-regime trend system built on Weighted Moving Average structure and Median Absolute Deviation dispersion, engineered to produce clean directional states while suppressing wick-driven noise and unstable ATR distortions. This tool belongs to the RakoQuant protected research line, combining a smooth WMA baseline, statistically robust volatility envelopes (MAD bands), SuperTrend-style regime logic, and a strength-aware visualization layer designed for consistent performance across trending, mean-reverting, and mixed market environments. Core Concept This indicator answers one fundamental question: Is price holding a statistically meaningful deviation from its WMA baseline, or reverting back into range? Unlike classic SuperTrend variants that rely on ATR (highly sensitive to spikes and wicks), WMA MAD Trend uses Median Absolute Deviation as its volatility engine — a robust dispersion measure that remains stable in the presence of outliers. How It Works 1) WMA Baseline (Directional Structure) At its core, the indicator defines the market’s structural center using a Weighted Moving Average: * WMA Baseline tracks directional bias with smoother, trend-weighted responsiveness * The baseline can optionally be smoothed further in intraday mode to reduce micro-chop This provides a stable anchor for dispersion-based regime classification. 2) MAD Volatility Engine (Robust Dispersion Core) Instead of ATR, volatility is measured via Median Absolute Deviation (MAD) around the baseline: * Compute absolute deviation:
|Close − Baseline| * Take rolling median of deviation over madLen * Optional normalization scales MAD toward a stdev-like measure (via constant factor) This makes volatility estimation: * Outlier-resistant * Wick-resistant * Regime-stable during abnormal price spikes 3) MAD Bands + SuperTrend Trailing Logic (Regime State Model) Bands are built as: * Upper Band = Baseline + Factor × MAD * Lower Band = Baseline − Factor × MAD Then classic SuperTrend-style trailing constraints are applied so the active band persists until a true regime break occurs. That produces a state engine: * Bull regime when price breaks above the trailing upper logic (transition into trend-up state) * Bear regime when price breaks below the trailing lower logic (transition into trend-down state) This behaves like a structural market regime model, not a reactive oscillator. 4) Strength Engine (Deviation-Based Intensity) A defining layer of this tool is the MAD Z-score intensity system: * Compute Z-score:
z = |Close − Baseline| / MAD * Map into a 0 → 1 strength scale Interpretation: * Low deviation = weak regime confidence (likely chop / mean reversion) * High deviation = strong regime confidence (trend expansion) 5) Intensity Visual Engine (Signal Clarity Layer) WMA MAD Trend includes a protected visual engine that scales opacity with strength: * Strong expansion = solid trend band * Weak deviation = faded band This gives immediate clarity:
Not all flips are equal — strength is displayed structurally. 6) Optional Institutional Filters Two optional confirmation modules allow institutional-grade filtering: Baseline Confirmation * Bull flips only accepted if price is above baseline * Bear flips only accepted if price is below baseline EMA Stack Filter * Bull only when Fast EMA > Slow EMA * Bear only when Fast EMA < Slow EMA These modules make the tool suitable for: * Directional portfolio bias frameworks (RSPS) * Regime classification overlays * Trend confirmation filters for execution systems 7) Strong Flip Tier Alerts Signal quality is tiered: * Standard flip alerts * Strong flip alerts only when deviation strength exceeds a threshold This produces a higher-confidence regime transition model for swing positioning and exposure scaling. How To Use ✅ Trend regime overlay
✅ Wick-resistant volatility trend filter
✅ MAD-based deviation strength engine
✅ Directional bias tool for portfolio systems Best use cases: * 1H–1D trend frameworks * Regime filters for signal stacking * Chop suppression in volatile markets Suggested workflow: * Bull bias when the regime is bullish and strength is rising * Reduce risk / defensive when strength fades or a bearish flip occurs * Pair with execution tools (breakout/mean-reversion entries) for timing Screenshot Placement 📸 Example chart / screenshot: snapshot
Pine Script® 인디케이터
RakoQuant의
1
Step Generalized Moving Average [BackQuant]Step Generalized Moving Average Overview Step Generalized Moving Average (StepGMA) is a trend-structure moving average designed to solve two common problems with classic MAs: They overreact to noise in chop, causing constant micro-flips. They lag too much when you smooth them enough to stop that noise. StepGMA tackles this by combining two layers: A Generalized Moving Average (GMA) that increases responsiveness without simply shortening length. A Step Filter that converts the MA into discrete “steps” sized by ATR, suppressing insignificant movement and only updating when the move is meaningful. The output is a trend line that behaves more like market structure: it holds its level through noise, then “reprices” in chunks when volatility-adjusted movement is large enough. What the indicator is trying to represent Instead of showing every tiny MA wiggle, StepGMA tries to represent the idea that: Most price movement is noise relative to volatility. Trend only matters when it advances by a meaningful amount. A good trend line should stay stable until the market forces it to move. That makes this indicator useful as: A regime filter (trend vs chop). A trend-following bias line. A structure-like dynamic S/R reference. A signal generator with fewer low-quality flips. Component 1: Moving Average engine (selectable) The base smoothing is not fixed. You can choose between multiple MA types: SMA, EMA, WMA, VWMA: classic smoothing families. DEMA, TEMA: reduced-lag EMA variants. T3: smooth yet responsive, good for trend. HMA: very low lag, can be twitchy without filtering. ALMA: center-weighted smoothing, often “cleaner” visually. KAMA: adaptive smoothing based on efficiency ratio, good in mixed regimes. LSMA: regression-based, tends to track trend direction well. McGinley: dynamic smoothing designed to reduce lag during fast moves. This matters because the StepGMA is not “one MA.” It is a framework that lets you pick the underlying smoothing behavior, then applies the generalization and step logic on top. Component 2: Generalized Moving Average (GMA) Where the idea comes from Generalized MA here is essentially a form of two-stage smoothing compensation . A common trick in signal processing and technical analysis is: Apply a smoother once (MA1). Apply it again (MA2). Use MA2 as a “lag reference,” then combine MA1 and MA2 to reduce lag while keeping smoothness. This is related in spirit to reduced-lag filters (like DEMA/TEMA) and “zero-lag” style constructions that subtract part of the lag component. You are not magically removing lag, you are biasing the output toward the first-pass MA while subtracting some of the second-pass smoothing that represents delayed response. How this script does it It computes: ma1 = MA(src, len) ma2 = MA(ma1, len) Then combines them using a volume factor (vf): generalized = ma1 * (1 + vf) - ma2 * vf Interpretation: ma2 is a “more delayed” version of ma1. Subtracting vf * ma2 and adding (1+vf) * ma1 pushes the output toward responsiveness. vf controls how aggressive that push is. Volume Factor (vf) is really an aggressiveness knob The script clamps vf between 0.01 and 1.0 to keep it stable. Conceptually: Low vf: behaves closer to a normal MA1, smoother, more lag. High vf: more compensation, faster response, more risk of overshoot or noise sensitivity (which is then handled by the step filter). So the GMA stage tries to give you a cleaner, faster trend estimate without just shrinking the MA period. Component 3: Step Filter (the key behavior) What a step filter is A step filter turns a continuous signal (here, the generalized MA) into a discrete “staircase” signal. Instead of updating every bar, it updates only when the input has moved far enough to justify a new step. This is conceptually similar to: A quantizer in signal processing (rounding changes to discrete increments). A volatility threshold filter (ignore changes smaller than X). Market structure logic where levels matter more than micro movement. How it works in this script The filter maintains a persistent value: stepped . Each bar: diff = src - stepped If |diff| < stepSize, do nothing (hold the level). If |diff| >= stepSize, move stepped by a number of step increments. The step increment size is: stepSize = (stepMult / 100) * ATR(atrPeriod) This is critical: In higher volatility, ATR is larger, so steps are larger, fewer updates, more stability. In lower volatility, ATR is smaller, so steps are smaller, more updates, more sensitivity. So the step behavior automatically adapts to volatility. Multiple-step catching behavior If price jumps far beyond one step, the script does not move only one step. It moves by: floor(|diff| / stepSize) * stepSize So it “catches up” in discrete blocks, preserving the stepped character without lagging massively after large moves. Direction and regime Direction is determined by the stepped line, not the raw MA: direction = +1 if steppedMA is rising direction = -1 if steppedMA is falling otherwise direction stays the same Signals only trigger on direction state changes: Long when direction flips to +1 Short when direction flips to -1 This matters because it prevents repeated signals while the trend remains intact. You only get a signal when the market has moved enough (in ATR terms) to justify a structural step in the opposite direction. Secondary line and gradient fill The script also plots a secondary “slow MA” (length 25, same MA type). This is not the core logic, it is a visual context layer: StepGMA is the structure line (discrete, regime-driven). Slow MA is a smoother reference for the underlying drift. The gradient fill highlights separation and dominance. When StepGMA sits above the slow MA, the fill reinforces bullish bias. When below, it reinforces bearish bias. It is basically a “trend pressure” visual, not a separate signal. How to interpret it 1) StepGMA as trend structure Flat steps mean price is not making enough volatility-adjusted progress to move structure. Up-steps mean the market has advanced enough to reprice the trend line upward. Down-steps mean deterioration significant enough to reprice structure downward. 2) Direction is a regime, not a tick-by-tick call Because direction is derived from step changes, it is naturally a regime filter: Fewer flips in chop. Clearer regime transitions. Signals tend to occur later than ultra-fast tools, but with better confirmation quality. 3) Step size controls noise rejection StepMult is the main “anti-chop” control: Higher stepMult = bigger ATR steps = fewer updates, fewer signals, more confirmation, slower to react. Lower stepMult = smaller steps = more updates, more signals, more sensitivity, more chop risk. 4) Generalization controls responsiveness of the underlying trend estimate vf controls how “fast” the MA tries to be before stepping: Higher vf makes the MA respond faster to new price information. Lower vf makes the MA smoother and more conservative. The step filter then decides whether that change is meaningful enough to matter. Practical use cases Trend filter for entries Only take longs when direction is bullish. Only take shorts when direction is bearish. Avoid trades when StepGMA is flat for long periods, market is not repricing meaningfully. Dynamic support and resistance Because the line holds levels, it often behaves like structure: In uptrends it can act as a rising support reference. In downtrends it can act as falling resistance. Signal quality layer The step-based flip signals tend to be higher quality than basic MA crossovers because they require: A meaningful volatility-adjusted move. A confirmed direction change in the stepped trend structure. Trade management Use StepGMA as a trailing invalidation reference. Use direction flips as “hard” regime exits. Use separation vs slow MA as a “pressure” gauge for scaling decisions. Tuning guidelines MA Type Pick based on the character you want: T3, ALMA, KAMA are usually good defaults for clean trend representation. HMA/LSMA are faster but may need larger stepMult to avoid twitch. SMA is slow and stable but can be too laggy unless vf is increased. MA Period Sets the base smoothing horizon. Longer periods give “macro trend,” shorter periods give “tactical trend.” Volume Factor (vf) Sets responsiveness compensation: 0.05–0.25 is usually sensible. Higher than that can get aggressive, step filter will save you, but your steps may fire more often. ATR Period and StepMult These define your structure sensitivity: ATR Period controls how stable the volatility estimate is. StepMult controls how large a move must be to change structure. If you want fewer flips, increase StepMult or ATR Period. If you want quicker reaction, lower StepMult or ATR Period. What this indicator is and is not It is: A trend structure MA that ignores sub-threshold noise. A regime tool that uses volatility-adjusted repricing logic. A configurable framework that works across assets and timeframes. It is not: A predictive reversal tool. A scalping signal machine. A replacement for risk management. Summary Step Generalized Moving Average combines a lag-compensated moving average (generalization via MA1/MA2 blending) with a volatility-scaled step filter (ATR-based quantization). The result is a stable, structure-like trend line that updates only when price movement is meaningful relative to volatility, producing cleaner regimes, fewer chop flips, and clearer trend bias than conventional moving averages.
Pine Script® 인디케이터
BackQuant의
2
Adaptive Trend Checklist (EMA + Supertrend + ADX)Adaptive Trend Checklist is a market context and validation tool designed for discretionary traders who prioritize structure, risk control, and trade quality over aggressive signal chasing. The script combines EMA, Supertrend, and ADX, with optional multi-timeframe (HTF) confirmation, to provide a clear view of market conditions before entering a trade. This is not a signal-spamming indicator. It is a visual checklist that helps identify when to trade, when to reduce risk, and when to stay out of the market. 🔹 Key Features 🔁 Automatic timeframe adaptation Parameters (EMA, ATR, ADX, Supertrend) automatically adjust based on the current chart timeframe. 🧠 Trend & range filtering Uses ADX and price structure to filter out ranging and low-probability market conditions. ⏱️ Multi-timeframe market context (optional) Confirms directional bias using higher timeframes. 🧮 Risk classification Trades are classified as: NORMAL REDUCED NO TRADE 📋 Clear visual checklist Displays in real time: trading mode, trend status, ADX condition, market session, recommended risk level. 🎯 Integrated trade management Automatically plots: Entry Stop Loss Take Profits (TP1, TP2, TP3) Position size in dollars based on selected risk. 🚫 No repaint 🚫 No signal spam 🚫 No win-rate promises ⚠️ Important Notice This script is not intended for fully mechanical or automated trading. It is designed as a decision-support tool for traders who understand market structure, context, and risk management. Performance depends on: market conditions, timeframe, and trader discipline. 👤 Who Is This For? ✔️ Discretionary traders ✔️ Scalpers & intraday traders seeking better filters ✔️ Swing traders needing HTF context ❌ Not recommended for blind signal following 📎 Usage Recommendation Use it as a primary market filter, not as a standalone signal. Combine it with your own entry criteria.
Pine Script® 인디케이터
djau의
White Core Trend [wjdtks255] White Core Trend is a trend-following indicator designed to strip away market noise and visualize the "Core Trend" of price action. It focuses on the essential relationship between price and a dynamic baseline to provide clear trading decisions. White Core Line: Built on a responsive HMA (Hull Moving Average) logic, this line acts as the definitive trend filter. It reacts swiftly to price changes while maintaining a smooth trajectory to reduce false signals. Intuitive Visual Signals: The indicator identifies trend exhaustion and reversal points by plotting triangle labels (▲/▼). These signals help traders maintain discipline and avoid emotional decision-making. Minimalist Design: Optimized for clarity, the indicator eliminates unnecessary clutter like background colors or complex data overlays, keeping the focus strictly on the trend and entry levels. As a core technical tool, this indicator is used to identify the market's direction and establish precise entry/exit benchmarks. 1. Entry Strategy Long Entry: Enter when the price crosses above the White Core Line and a green triangle appears. Short Entry: Enter when the price crosses below the White Core Line and a red triangle appears. Note: Ensure the candle body closes decisively across the line to confirm the signal. 2. Position Management Trend Following: Stay in the trade as long as the price remains on the correct side of the White Core Line. Reference Point: Use the horizontal white "Entry" line as a visual anchor for your current position. 3. Exit & Stop Loss Stop Loss: Exit immediately if the price crosses back over the White Core Line against your position. Take Profit: Secure profits when the price reaches your target or when the trend starts to flatten out (sideways movement) near the core line.
Pine Script® 인디케이터
wjdtks255의
Bull/Bear Volume DiagramOverview This indicator displays trading volume in a mirrored diagram that separates bullish and bearish activity. Bullish candle volume is plotted above the center line, while bearish candle volume is plotted below it. This layout helps visualize market participation and directional pressure in a more intuitive way than traditional volume histograms. How It Works The indicator evaluates each candle and determines whether it is bullish or bearish based on its open and close prices: If the candle closes above its open, its volume is plotted upward. If the candle closes below its open, its volume is plotted downward. Each side is color-coded independently to clearly distinguish buying and selling pressure. Additionally, the indicator calculates a moving average of volume separately for bullish and bearish candles. These averages help identify trends in directional volume strength and allow traders to compare buyer versus seller dominance over time. Features Mirrored bullish and bearish volume visualization Independent color customization for bullish and bearish volume Directional volume moving averages Clear separation of buying and selling activity Lightweight and responsive calculation How To Use This indicator can help traders: Identify which side of the market is dominating volume Detect shifts in buying or selling pressure Compare momentum between bullish and bearish participation Observe volume trends more clearly than with standard volume bars Notes Volume is classified using candle direction, not order flow or tick data. Results may vary depending on timeframe and market type. This indicator is intended as a visual analysis tool and should be combined with other technical analysis methods.
Pine Script® 인디케이터
ferCV의
Poseidon [hide System]English Description Poseidon Ultimate Fix is a sophisticated hybrid trading strategy designed to adapt seamlessly to changing market conditions. Its core strength lies in its ability to automatically distinguish between trending and ranging markets using the Hybrid Logic Engine, which relies on the Average Directional Index (ADX). When the market shows strong directional momentum (ADX > 25), the system activates Trend Mode. In this phase, it utilizes a Supertrend-based logic to follow the market flow, entering trades on breakouts and holding positions until the trend reverses, thereby maximizing profit potential during volatile periods. Conversely, when volatility is low and the market lacks clear direction (ADX ≤ 25), the system switches to Range Mode. Here, it employs Bollinger Bands to execute mean reversion strategies, buying at the lower band and selling at the upper band to capture smaller, consistent gains within the consolidation. A critical safety feature of this system is its Emergency Escape protocol. If a sudden surge in volatility occurs while a range position is open—threatening a breakout against the trade—the system immediately liquidates the position and switches to a trend-following entry. This mechanism effectively neutralizes the risk of catastrophic losses often associated with reversal strategies during market explosions. Furthermore, the Precise Accounting feature ensures that the dashboard metrics, including Profit Factor and Win Rate, are calculated based on real-time equity changes, providing an accurate reflection of the system's performance without mathematical discrepancies. 日本語による説明 Poseidon Ultimate Fix は、刻々と変化する相場環境に完全適応するために設計された、高度なハイブリッド型トレードシステムです。このシステムの最大の特徴は、ADX（平均方向性指数）を用いたハイブリッド・ロジック・エンジンにあります。これにより、相場が「トレンド状態」にあるか「レンジ状態」にあるかを自動的かつ正確に判別します。強い方向感が出ている局面（ADXが25以上）では、システムは即座にトレンドモードを選択します。ここではスーパートレンド指標に基づいた順張りロジックが作動し、トレンドの発生に合わせてエントリーを行い、相場が反転するその瞬間までポジションを保有し続けることで、利益の最大化を狙います。 一方で、相場の方向感が失われ、ボラティリティが低下した局面（ADXが25以下）では、システムはレンジモードへと切り替わります。このモードではボリンジャーバンドを活用した逆張り戦略を展開し、バンドの下限で買い、上限で売ることで、ボックス相場の中から着実に利益を積み上げます。さらに、このシステムには**緊急脱出機能（エマージェンシー・エスケープ）**という重要な安全装置が搭載されています。もしレンジ逆張りポジションを保有中に突発的な暴騰や暴落が発生した場合、システムは即座に損切りを行い、間髪入れずにトレンド方向への順張りエントリーに切り替えます。これにより、レンジ手法特有の「コツコツ勝ってドカンと負ける」リスクを排除します。加えて、完全な会計処理機能により、ダッシュボード上の勝率やプロフィットファクターは実際の口座残高の増減と1円の狂いもなく一致し、極めて信頼性の高いパフォーマンス分析を提供します。
Pine Script® 인디케이터
Hide_FX_Treader의
1