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Price Efficiency Ratio (PER) [SharpStrat]Price Efficiency Ratio (PER) The Price Efficiency Ratio (PER) is built around a simple question: how efficiently is the market moving from its starting point to its current point? Price often moves in indirect ways. Sometimes it travels cleanly in one direction with very little noise, and sometimes it spends more energy moving up and down than actually progressing. PER quantifies this behavior and turns it into a clear, readable number that identifies whether the market is behaving like a trend or a range. To make the idea intuitive, imagine walking from point A to point B. If you walk straight, you arrive efficiently. If you zigzag, backtrack, or wander before reaching the same point, your total travel distance becomes much larger than the straight line distance. PER applies this exact idea to price movement. How the Indicator Computes Efficiency The indicator measures two distances over the selected lookback period: Net Distance: This is the absolute distance between the closing price now and the closing price at the start of the lookback period. It represents how far the market has actually progressed. Total Distance: This is the sum of every bar to bar price change within that same period. Every small rise, drop, spike, reversal, and retrace is included. These two distances are then compared: PER = (Net Distance / Total Distance) × 100 The result is a 0-100% reading where: HIGH values (above threshold) = Price moved efficiently in one direction = Trending LOW values (below threshold) = Price zigzagged without net progress = Ranging Understanding High PER vs Low PER The easiest way to see what PER measures is by observing how price travels between two points. The image below shows a clean directional movement compared to a choppy, back and forth one. On the left, the market moves steadily from point A to point B with only small interruptions. Most of the movement contributes directly toward the final destination. Because the total distance is close to the straight line distance, PER is high. This represents a trending environment where trend following tools typically perform well. On the right, the market still reaches point B, but the path is filled with reversals. Price spends more time oscillating than progressing. Total distance becomes much larger than net distance, which produces a low PER. This represents a ranging or mean-reversion environment, where fading extremes and playing inside the range tends to be more appropriate. In simple terms: High PER means price is moving with intention and direction. Low PER means price is moving inefficiently and indecisively. How to Use PER PER is not a signal generator by itself. It is a market regime classifier, and its strength lies in selecting the right strategy for the right environment. When PER is above the threshold (Trending Environment) Price is moving efficiently. Most bars contribute to the same directional bias. This is when trend following strategies excel. Examples include: Breakouts Pullback entries into trend direction Moving average crossovers In these situations, using mean-reversion is generally less effective. When PER is below the threshold (Ranging / Mean-Reversion Environment) Price is inefficient and oscillatory. The market wastes movement and fails to make directional progress. Examples include: RSI overbought/oversold reversals Bollinger Band bounces Liquidity sweeps and reversals Breakouts tend to fail more frequently in these conditions. Example: Below is a section of the S&P 500 on the daily timeframe showing both trending and ranging conditions, along with how PER responded to each. This chart shows how PER naturally separates trending phases from ranging phases using objective efficiency rather than subjective chart reading. It demonstrates exactly how the indicator identifies regime changes and helps you understand what kind of behavior the market is currently showing. Features & Settings Dynamic vs Fixed Threshold Threshold- Different markets and timeframes produce different typical PER values. Fixed Threshold: You choose the efficiency level manually. Useful if you trade the same instrument and know the PER levels that define a trend for it. Dynamic Threshold: The threshold is calculated from historical PER distribution. This adapts automatically to each timeframe and each asset, aligning the threshold with what is normal for that chart. It reduces manual tuning and produces more consistent regime classification. Smoothing Option Raw PER can fluctuate rapidly on lower timeframes. Smoothing helps reveal the underlying efficiency trend more clearly. Volume Weighted PER A volume weighted mode is also included. When enabled, price movement occurring during high volume bars has more influence, making PER more meaningful on assets where volume impacts trend quality. Information Box The information box provides quick context, including the current PER value, the current regime (trending or ranging), and whether the threshold mode is fixed or dynamic. It is designed to make interpretation instant without additional settings or visual clutter. Summary PER will not tell you when to buy or sell. PER doesn't predict the future or generate signals. It simply tells you what kind of market you're in right now. The value is in knowing when to apply trend strategies versus mean reversion strategies. A lot of traders already have good tools they just use them in the wrong conditions. PER helps you avoid that mistake. Use it as part of your overall analysis, not as a standalone system. This indicator is open source and free. If you find it useful, a like or comment helps others discover it. Risk Disclaimer: For educational purposes only. Trading involves risk. No indicator guarantees profits. Use proper risk management.
Pine Script® indicator
by SharpStrat
Momentum Structure Regime Engine (MSRE)Momentum Structure Regime Engine (MSRE) Momentum Structure Regime Engine (MSRE) is a professional momentum-based analysis tool designed to help traders identify high-quality directional opportunities with clarity and discipline. The indicator is built on a three-layer momentum framework, where each layer serves a distinct role in market evaluation. 🔹 Structure Layer Identifies the dominant momentum bias and persistence, helping define whether bullish or bearish momentum is structurally in control. 🔹 Regime Layer Evaluates momentum quality by distinguishing between expansion, compression, and weakening phases. This helps filter out low-quality or choppy conditions. 🔹 Execution Layer Detects short-term momentum ignition aligned with structure and regime, highlighting actionable timing opportunities. 📊 Signal Types Strong Signals Indicate the first high-quality momentum opportunity within a new structural move. Elite Signals Appear selectively on the first meaningful pullback during an active momentum phase, offering refined entry opportunities. Signals are state-based and non-repetitive, designed to reduce clutter and avoid over-signaling. ✅ Key Characteristics Pure momentum-driven logic Leading (non-lagging) indicators Clean, minimal chart visuals Non-repainting signals Suitable for intraday and swing trading ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice. Trading involves risk, and users are solely responsible for their trading decisions.
Pine Script® indicator
by Market_Logic_India
Volume Structure Regime Engine (VSRE)Volume Structure Regime Engine (VSRE) is a professional, volume-based market analysis tool designed to help traders identify high-quality directional opportunities with clarity and discipline. The indicator is built around a three-layer analytical framework, each serving a distinct purpose in the decision-making process: 🔹 Structure Layer Uses Anchored VWAP to determine directional bias and identify which side of the market is in control. This layer defines the broader context and filters out low-probability trades. 🔹 Regime Layer Analyzes volume-weighted participation to distinguish between expansion, compression, and distribution phases. This helps traders focus only on periods where meaningful activity is present. 🔹 Execution Layer Detects short-term volume acceleration aligned with structure and regime, highlighting moments of aggressive participation. 📊 Signal Types Strong Signals Appear once per structural move and indicate the first high-quality opportunity aligned with both structure and participation. Elite Signals Appear selectively on the first meaningful pullback within an active move, offering refined entry opportunities. Signals are state-based and non-repetitive, designed to reduce chart clutter and avoid signal overfitting. ✅ Key Features Volume-driven (no lagging price averages) Clean, minimal visuals Non-repainting logic Built-in signal throttling to reduce noise Suitable for discretionary trading across intraday and swing timeframes ⚠️ Disclaimer This indicator is intended for educational and analytical purposes only. It does not constitute financial advice or a recommendation to buy or sell any financial instrument. Trading involves risk, and users are responsible for their own trading decisions.
Pine Script® indicator
by Market_Logic_India
RSI Adaptive Structure Engine (RASE)RSI Adaptive Structure Engine (RASE) is a regime-based market structure indicator built entirely using the Relative Strength Index (RSI). Rather than focusing on overbought or oversold conditions, RASE is designed to help traders identify directional market regimes and trend quality by combining multiple layers of RSI analysis into a single, structured framework. 🔹 What RASE Does RASE analyzes the market using: Structural RSI slope to determine directional bias RSI efficiency to filter noisy or choppy conditions Smoothed RSI momentum to confirm trend continuation Fast RSI behavior for timing alignment Higher-timeframe RSI confirmation for strong trend validation The indicator uses state-based logic, meaning signals appear only when a regime changes. This helps reduce noise and avoids repetitive or cluttered signals. 🔔 Signal Types 🔹 Base Signal (Single Triangle) Indicates early alignment of structure, momentum, and efficiency Uses the current timeframe only Intended to highlight potential regime shifts 🔹 Strong Signal (Double Triangle) Confirms trend strength using higher-timeframe alignment Appears only after a base regime is established Intended to highlight stronger directional persistence Optional execution-style markers can also be enabled for users who want additional same-timeframe context. 📈 How to Use RASE is best used as a regime and directional bias tool, not as a standalone entry system. Common use cases include: Trend filtering for other strategies Identifying favorable directional conditions Avoiding trades during low-quality or choppy regimes Multi-timeframe market structure analysis ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice, investment guidance, or a recommendation to buy or sell any asset. Trading and investing involve risk. Users are solely responsible for their own decisions and risk management. Past performance is not indicative of future results.
Pine Script® indicator
by Market_Logic_India
Adaptive Structure Trend Engine (ASTE)Adaptive Structure Trend Engine (ASTE) Adaptive Structure Trend Engine (ASTE) is a non-repainting, multi-layer trend analysis indicator designed to help traders identify high-quality directional opportunities using market structure and adaptive moving averages. ASTE focuses on trend clarity, confirmation, and signal cleanliness, avoiding indicator noise and repeated signals. 🔍 Core Components ASTE combines four powerful concepts into a single, structured framework: • FRAMA (Fractal Adaptive Moving Average) Detects market structure and directional slope changes. • KAMA (Kaufman Adaptive Moving Average) Measures price efficiency and regime stability. • JMA (Jurik-style Moving Average) Provides smooth momentum confirmation with minimal lag. • EMA Hierarchy (21/50 + 50/100/150/200) Validates trend strength and higher-order alignment. 📊 Signal Types ASTE produces state-based signals (no repeated alerts on every bar): 1️⃣ Base Signal Single tiny triangle • FRAMA slope alignment • KAMA direction confirmation • JMA momentum confirmation • EMA 21/50 trend validation 2️⃣ Strong Signal Two stacked triangles • All Base Signal conditions • PLUS EMA 50/100/150/200 full trend confluence Signals remain active until an opposite signal of the same type appears. 🎨 Visual Design • Clean stacked triangle system • No repainting • No signal spam • EMA band with gradual color transition • Fully configurable visibility options ⚙️ User Controls • Adjust FRAMA, KAMA, and JMA lengths • Toggle Base / Strong signals • Show or hide EMA band • Works on all markets and timeframes ⚠️ Disclaimer This indicator is provided for educational and analytical purposes only. It does not constitute financial advice or trade recommendations. Always use proper risk management and confirm signals with additional analysis. Past performance does not guarantee future results.
Pine Script® indicator
by Market_Logic_India
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® indicator
by Market_Logic_India
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® indicator
by ken5_5489
[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® indicator
by KevSagaT
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® indicator
by BackQuant
2
Adaptive ATR Trend FollowerDESCRIPTION: A practical educational tool for learning volatility-based trend following. This indicator demonstrates how to use ATR-adjusted trailing stops to adapt to changing market conditions. It shows traders how to dynamically adjust stop distances based on market volatility rather than using fixed price levels. WHAT MAKES IT UNIQUE: • Three preset trading modes (Fast/Balanced/Smooth) optimized for different market environments • ATR-based dynamic stops that automatically widen during high volatility and tighten during calm periods • Clear visual trend zones with adjustable transparency for better chart readability • Educational focus on risk management concepts and adaptive position sizing • Signal markers that highlight exact trend change points for precise analysis HOW IT WORKS: 1. Calculates Average True Range (ATR) to measure current market volatility 2. Creates dynamic trailing stops using: Current Price ± (ATR × Multiplier) 3. Automatically switches trend direction when price crosses the trailing stop level 4. Provides continuous visual feedback through colored zones, signal markers, and bar coloring 5. Updates stop levels in real-time as market conditions change EDUCATIONAL VALUE: This indicator serves as a learning tool for understanding: - How to use ATR for dynamic position and risk management - The importance of adapting trading systems to current volatility conditions - Trend-following principles with immediate visual feedback - Risk management techniques through adaptive stop placement - The relationship between volatility and optimal stop distances SETTINGS EXPLAINED: • ATR Period (14): The lookback period for volatility measurement. Higher values give smoother readings. • ATR Multiplier (3.0): Determines stop distance from price. Higher = wider stops, Lower = tighter stops. • Trading Style: Fast (tight stops for active trading), Balanced (default settings), Smooth (wide stops for volatile markets) • Price Smoothing (1): EMA period applied to price. Reduces noise for cleaner trend detection. • Trend Fill Transparency (80%): Controls visibility of the colored trend zone between price and stop line. RISK WARNING & DISCLAIMER: This is an educational trend-following tool designed for learning purposes. Important considerations: • May produce whipsaw signals during sideways/consolidating markets • Works best in clearly trending market environments • Always combine with other analysis techniques for confirmation • Practice proper risk management - never risk more than you can afford to lose • Past performance does not guarantee future results • This is NOT financial advice. Use at your own risk and discretion. USE CASES: - Learning about volatility-based trading systems and concepts - Identifying potential trend direction changes with visual confirmation - Setting adaptive stop-loss levels that adjust to market conditions - Educational tool for understanding how ATR affects position management - Visual study of how volatility impacts trend-following strategies COMPATIBILITY: • Works on all markets: Forex, Stocks, Crypto, Commodities, Indices • Effective on multiple timeframes (5-minute to daily charts recommended) • Compatible with other indicators for multi-factor analysis INSTALLATION & USAGE: 1. Add indicator to your chart 2. Start with "Balanced" mode for most markets 3. Adjust ATR multiplier based on your risk tolerance 4. Use signals as potential entry/exit points (with confirmation) 5. Observe how stops adapt to changing volatility conditions EDUCATIONAL TIP: Try switching between Fast/Balanced/Smooth modes to see how different settings perform in various market conditions. Notice how wider stops (Smooth mode) can prevent premature exits during volatile trends, while tighter stops (Fast mode) may work better in calm, steady trends.
Pine Script® indicator
by JaxonJackFX
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® indicator
by wjdtks255
High Breakout PRO - Huy Hoang Trader # High Breakout PRO - Huy Hoang Trader - Strategy Description ## 🚀 Overview **High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**. This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes. ## 💎 Key Features 1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability. 2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines: * **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support). * **Volatility:** Uses ATR-based trailing (Chandelier Exit logic). * *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation. 3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter. ## 🛠 Strategy Logic ### entry rules * **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20). * **Trend Confirmation:** Closing Price > EMA 200 (Configurable). ### Exit Rules * **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**. * The Trailing Stop never moves down. It only moves up as price increases. * It effectively adapts to both slow-grinding trends and explosive spikes. ## ⚙️ Best Settings (Recommended) * **Timeframe:** H4 (Swing Trading) or Daily (Position Trading). * **Entry Period (X):** 20 * **Exit Period (Y):** 10 * **Trend Filter:** ON (EMA 200) * **Risk Management:** Hybrid Mode (ATR Multiplier 3.0) ## ⚠️ Disclaimer This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading. --- *Developed by Antigravity. Empowering traders with institutional-grade tools.* Contact for work: www.facebook.com
Pine Script® strategy
by ngohuyhoanghcm
Market Structure & Supply-Demand EngineMarket Structure & Supply-Demand Engine (MSD-Engine) is a professional, non-repainting market structure and supply-demand analysis tool built purely on price action and volatility logic. This indicator is designed for discretionary traders who want a clean, institutional-style view of market structure without lagging indicators or strategy automation. 🔍 What This Indicator Does MSD-Engine identifies major structural reversals, plots price-action based supply & demand zones, and provides multi-timeframe confluence in a single, unified framework. It is visual and analytical only — no strategy orders, no backtesting, and no repainting. 🚀 Core Features • Non-Repainting Market Structure Event-based swing reversal detection ATR-adaptive displacement filtering Confirmed pivots only (no future leaks) • Pure Supply & Demand Zones Candle-structure based zone detection Volume-weighted zone strength Automatic invalidation on breach Configurable zone limits to maintain chart clarity • Multi-Timeframe Context (MTF) Chart timeframe structure Two independent higher-timeframe supply & demand layers Higher-timeframe directional bias visualization HTF zones plotted only on confirmed HTF closes • Volatility-Adaptive Logic ATR normalized across timeframes Dynamic reversal thresholds Stable behavior from scalping to swing charts • Trendline Lifecycle Tracking Automatic major trendline construction Single-fire break detection Break validation / failure logic HTF-aligned vs counter-trend classification 🧠 Designed For • Discretionary price-action traders • Supply & demand traders • Market structure & smart-money style analysis • Multi-timeframe confluence trading • Futures, indices, forex, crypto, and equities ⚠️ Important Notes This is NOT a strategy or auto-trading system No buy/sell signals or performance metrics No repainting (uses barmerge.lookahead_off) Educational & analytical use only 📜 Disclaimer This script is provided for educational and analytical purposes only. It does not constitute financial advice. Trading financial markets involves risk.
Pine Script® indicator
by Market_Logic_India
3
High Breakout PRO Huy Hoang Trader High Breakout PRO - Strategy Description ## 🚀 Overview **High Breakout PRO** is a professional-grade Trend Following strategy designed to capture major market moves while strictly managing risk. Built on the core philosophy of "Price Action Breakouts," this script enhances the classic Donchian Channel breakout method with modern risk management tools like the **Hybrid Exit** and **EMA Trend Filter**. This strategy is optimized for **Gold (XAUUSD)**, **Bitcoin (BTC)**, and **Major Stocks (AAPL, AMZN)** on **H4 and Daily** timeframes. ## 💎 Key Features 1. **Trend Filter (EMA):** Only takes long positions when the price is above the 200-period EMA. This filters out counter-trend noise and significantly improves winning probability. 2. **Hybrid Exit Mechanism ("Holy Grail"):** A unique dynamic trailing stop that combines: * **Price Structure:** Uses the lowest low of the last Y bars (Donchian Support). * **Volatility:** Uses ATR-based trailing (Chandelier Exit logic). * *Logic:* The system automatically chooses the **tighter** (higher) stop level between the two, ensuring you lock in profits rapidly during strong volatility while giving the trade room to breathe during accumulation. 3. **Professional Visuals:** A refined "Wealth & Earth" themes (Gold/Silver/Brown) specifically designed to reduce eye strain and provide clear, professional signal visibility without chart clutter. ## 🛠 Strategy Logic ### entry rules * **Breakout:** Price closes above the Highest High of the last `X` bars (Default: 20). * **Trend Confirmation:** Closing Price > EMA 200 (Configurable). ### Exit Rules * **Dynamic Stop Loss:** The trade is closed when price breaches the **Hybrid Trailing Stop**. * The Trailing Stop never moves down. It only moves up as price increases. * It effectively adapts to both slow-grinding trends and explosive spikes. ## ⚙️ Best Settings (Recommended) * **Timeframe:** H4 (Swing Trading) or Daily (Position Trading). * **Entry Period (X):** 20 * **Exit Period (Y):** 10 * **Trend Filter:** ON (EMA 200) * **Risk Management:** Hybrid Mode (ATR Multiplier 3.0) ## ⚠️ Disclaimer This strategy follows trends. It may experience drawdowns during choppy/sideways markets. Always use proper risk management (position sizing) and backtest on your specific asset before live trading. --- *Developed by Huy Hoang Trader. Empowering traders with institutional-grade tools.* Contact for work: www.facebook.com
Pine Script® strategy
by ngohuyhoanghcm
SMC: Multi-TF Bias & HTF BOS with SessionsOverview The HTF BOS (Session) - Precision Lines is a comprehensive trading tool designed for Smart Money Concepts (SMC) and price action traders. It identifies Higher Timeframe (HTF) Break of Structure (BOS) levels while filtering them based on specific trading sessions. Additionally, it features a built-in Bias Dashboard that tracks trend alignment across three different timeframes to help you stay on the right side of the market. Key Features 1. Precision HTF BOS Tracking Unlike standard indicators that only mark the breakout candle, this script uses high-precision pivot detection to identify the exact origin of a structural high or low. Tam Yapışık Çizgiler (Precise Lines): The BOS lines are drawn exactly from the pivot point to the breakout point, providing a clean and professional look on your chart. HTF Integration: You can track structure from a higher timeframe (e.g., 4H) while trading on a lower timeframe (e.g., 15m or 5m). 2. Session Filtering (Time Sensitivity) Structural breaks are most reliable when they happen during high-volume periods. The script includes a Session Filter (London & New York). If enabled, the indicator will only plot BOS levels that occur during your specified trading hours, helping you avoid "fake-outs" or noise during low-liquidity periods (Asian session/After-hours). 3. Multi-Timeframe Bias Dashboard Stay aware of the "Big Picture" without constantly switching charts. The dashboard monitors three custom timeframes (e.g., Daily, 4H, 1H) and determines if the structure is Bullish or Bearish. Strong Buy/Sell Signals: When all three timeframes align, the status cell highlights as "BUY" or "SELL." Wait Status: If timeframes are in conflict, the dashboard suggests "WAIT," encouraging disciplined trading. How to Use Define Your Bias: Set your three Bias Timeframes in the settings to match your higher-level strategy. Set Your BOS TF: Choose the timeframe you want structural breaks to be calculated from (usually one or two steps above your entry chart). Adjust Sensitivity: Use the "Pivot Sensitivity" setting to filter between minor and major structural points. Confirm with Session: Enable the session filter to ensure you are only trading breaks that occur during the NY or London sessions. Settings Bias Dashboard Settings: Customize the TFs and pivot sensitivity for trend analysis. BOS & Session Settings: Set your target HTF for drawings and define your trading window (NY Timezone supported). Visual Settings: Full control over colors (Bullish/Bearish), table positioning, and text sizes.
Pine Script® indicator
by FXmans
Tanh Clamped Momentum Oscillator [Alpha Extract]A sophisticated momentum measurement system that combines dual EMA trend analysis with volatility-weighted pressure calculations, applying hyperbolic tangent normalization for bounded oscillator output with adaptive signal generation. Utilizing ATR-based volatility regime detection and candle pressure metrics, this indicator delivers institutional-grade momentum assessment with multi-tiered band structure and pulse-based envelope visualization. The system's tanh clamping methodology prevents extreme outliers while maintaining sensitivity to genuine momentum shifts, combined with histogram divergence detection and comprehensive alert framework for high-probability reversal and continuation signals. 🔶 Advanced Dual-Component Momentum Engine Implements hybrid calculation combining EMA trend differential with candle pressure analysis, weighted by volatility regime assessment for context-aware momentum measurement. The system calculates fast and slow EMA difference normalized by ATR, measures intrabar pressure as close-open relative to range, applies volatility-based weighting between trend and pressure components, and produces composite raw momentum capturing both directional bias and internal candle dynamics. // Core Momentum Framework EMA_Fast = ta.ema(src, Fast_Length) EMA_Slow = ta.ema(src, Slow_Length) Trend = EMA_Fast - EMA_Slow // Volatility Regime Detection ATR_Short = ta.atr(ATR_Length) ATR_Long = ta.atr(ATR_Length * 2) Vol_Ratio = ATR_Short / ATR_Long Vol_Weight = clamp((Vol_Ratio - 0.5) / 1.0, 0, 1) // Pressure Component Pressure = (close - open) / (high - low) // Composite Momentum Raw = Trend_Normalized * Vol_Weight + Pressure_Scaled * (1 - Vol_Weight) 🔶 Hyperbolic Tangent Normalization Framework Features sophisticated tanh transformation that clamps raw momentum into bounded range while preserving proportional sensitivity across varying market conditions. The system applies safe exponential calculations with input capping to prevent overflow, computes hyperbolic tangent to compress extreme values while maintaining linearity near zero, and scales output by configurable factor creating oscillator with enhanced dynamic range and reduced outlier distortion. // Tanh Clamping Logic tanh(x) => x_clamped = clamp(x, -5.0, 5.0) e = exp(2.0 * x_clamped) (e - 1.0) / (e + 1.0) Oscillator = tanh(Smoothed_Momentum / Clamp_Factor) * Scale 🔶 Volatility Regime Weighting System Implements intelligent volatility assessment comparing short-term and long-term ATR to determine market regime, dynamically adjusting weight between trend and pressure components. The system calculates ATR ratio, normalizes to 0-1 range, and uses this weight factor to emphasize trend component during high-volatility regimes and pressure component during low-volatility consolidations, creating adaptive momentum sensitive to market microstructure. 🔶 Multi-Tiered Band Architecture Provides comprehensive threshold structure with soft, hard, and maximum bands marking progressive momentum extremes for graduated overbought/oversold assessment. The system establishes configurable levels at soft zones (initial caution), hard zones (strong extreme), and maximum zones (critical overextension) with visual differentiation through line styles and background highlighting, enabling nuanced interpretation beyond binary extreme detection. 🔶 Pulse Envelope Visualization Features dynamic envelope bands calculated from exponential moving average of absolute oscillator value, creating adaptive boundary that expands during momentum acceleration and contracts during deceleration. The system applies configurable length and width multiplier to pulse calculation, fills area between positive and negative pulse bounds with gradient coloring matching oscillator direction, providing visual context for momentum magnitude relative to recent activity. 🔶 Signal Line Integration Framework Implements dual-mode signal line supporting both EMA and SMA smoothing of primary oscillator for crossover-based swing detection. The system calculates configurable-length moving average, generates histogram differential between oscillator and signal, applies additional smoothing to histogram for noise reduction, and uses crossovers/crossunders as momentum swing indicators distinguishing bullish and bearish momentum shifts. 🔶 Histogram Divergence Display Creates column-style histogram visualization showing oscillator-signal differential with intensity-based coloring reflecting momentum acceleration or deceleration. The system plots histogram bars in bright colors when expanding (accelerating momentum) and faded colors when contracting (decelerating momentum), enabling instant visual identification of momentum divergences and convergences without numerical analysis. 🔶 Advanced Reversion Signal Logic Generates overbought/oversold signals requiring both signal line crossover and extreme threshold breach for high-conviction reversal identification. The system triggers oversold when oscillator crosses above signal while below negative reversion level, triggers overbought when crossing below signal while above positive reversion level, and plots small circle markers at signal locations for clear visual confirmation of setup conditions. 🔶 Comprehensive Alert Framework Provides six distinct alert conditions covering overbought/oversold reversions, midline trend changes, and oscillator-signal swings with configurable notification preferences. The system includes alerts for extreme reversions (OB/OS), zero-line crossovers (trend changes), and signal line crossovers (momentum swings), enabling traders to monitor critical oscillator events across multiple signal types without constant chart observation. 🔶 Adaptive Bar Coloring System Implements four coloring modes including midline cross (trend direction), extremities (threshold breach), reversions (OB/OS signals), and slope (oscillator vs signal) for customizable visual integration. The system applies selected color scheme to candles providing chart-level momentum feedback, with option to disable coloring for minimal visual interference while maintaining oscillator pane analysis. 🔶 Performance Optimization Architecture Utilizes efficient tanh calculation with safe clamping, streamlined EMA computations, and optimized ATR ratio processing for smooth real-time updates. The system includes intelligent null handling, minimal recalculation overhead through smart smoothing application, and configurable display toggles allowing users to disable unused visual elements for enhanced performance during extended historical analysis. 🔶 Why Choose Tanh-Clamped Momentum Oscillator ? This indicator delivers sophisticated momentum analysis through hybrid trend-pressure calculation with volatility-adaptive weighting and hyperbolic tangent normalization. Unlike traditional momentum oscillators susceptible to extreme outlier distortion, the tanh clamping ensures bounded output while preserving sensitivity to genuine momentum shifts. The system's dual-component architecture combining directional trend with intrabar pressure, weighted by volatility regime assessment, creates context-aware momentum measurement that adapts to market microstructure. The multi-tiered band structure, pulse envelope visualization, and comprehensive signal framework make it essential for traders seeking nuanced momentum analysis with graduated extreme detection and high-probability reversal signals across cryptocurrency, forex, and equity markets.
Pine Script® indicator
by AlphaExtract
Root Deviation Loop | Lyro RSThe Root Deviation Loop indicator is a multi-mode trend signal tool that detects price momentum and breakout conditions using Root Mean Square Deviation (RMSD) instead of standard deviation. It provides a flexible framework for analyzing market conditions through three distinct signal generation methods: Bollinger Band-style deviation, a loop-based scoring system, and a hybrid combined signal. These modes help highlight trend continuation or reversal zones with a focus on smoothing out noise and avoiding extreme outlier effects. Indicator Modes Bollinger-Style RMSD Bands This mode plots upper and lower volatility bands using RMSD around a selected moving average. RMSD is used instead of standard deviation for a more stable measurement of price dispersion. The formula for the bands is: Upper Band = Moving Average + (RMSD × Multiplier) Lower Band = Moving Average − (RMSD × Multiplier) The bands dynamically expand and contract based on market volatility. Crossovers above or below these bands are used to signal trend shifts or breakouts. For-Loop Momentum Scoring This mode calculates a loop-based trend score by comparing the RMSD-weighted source to its historical values within a defined range. The loop evaluates the directional bias of price changes: If the current value is greater than past values, it adds to the score. If it is lower, it subtracts from the score. This produces a net momentum score used to determine bullish or bearish dominance. RMSD Weighted Source = (Price × RMSD) / RMSD Score = Sum over loop: (src > src ) ? +1 : -1 Combined Signal This mode merges the outputs of the Bollinger RMSD and For-Loop modes. It averages both signals into a single composite score. A long or short signal is generated based on whether the combined score crosses above or below user-defined thresholds. Signal Interpretation In the Bollinger Bands mode, signals are generated based on price interaction with the RMSD bands: A long signal occurs when price crosses above the upper RMSD band A short signal occurs when price crosses below the lower RMSD band No signal is produced when price remains between bands These signals suggest potential breakout points when price momentum exceeds recent volatility-defined boundaries. ⚠️Disclaimer This indicator is a technical analysis tool and does not guarantee results. It should be used in conjunction with additional analysis methods and proper risk management strategies. The creators of this indicator are not responsible for any financial decisions made based on its signals.
Pine Script® indicator
by LyroRS
2
Crypto ADX Scanner Purpose Crypto ADX Scanner helps traders quickly identify which selected assets are currently trending strongly. It scans multiple symbols at once and ranks them by ADX (Average Directional Index) strength. What This Indicator Does Monitors up to 20 user-selected assets Calculates ADX for each asset on the current chart timeframe Filters assets where ADX ≥ threshold Sorts qualifying assets from strongest to weakest trend Displays results in a table overlay How to Use Add the indicator to any chart. Set your Asset 1–20 symbols. Adjust ADX Threshold to control how strict “strong trend” is. Focus on the top assets in the table — these have the strongest trends right now. Apply your own entry strategy on the shortlisted assets. Key Settings ADX Threshold (default 25) Higher = only strong trends Lower = earlier trend detection ADX Length / Smoothing Controls responsiveness vs smoothness of trend strength How to Interpret ADX ADX measures trend strength only, not direction Higher ADX = stronger trend (bullish or bearish) Direction should be confirmed with price structure or other indicators Best Use Case Market scanning Watchlist filtering Identifying trend-friendly assets Avoiding choppy or low-momentum markets Notes Works on any timeframe Table updates automatically on the latest bar Designed as a trend-strength filter, not a buy/sell signal
Pine Script® indicator
by RiskManagementInvestor
Cyberpunk GMMA Reactor ProCyberpunk GMMA Reactor Pro System Concept Dive into the data stream. Cyberpunk GMMA Reactor Pro is a high-performance visualizer based on the Guppy Multiple Moving Average (GMMA). It transforms market trends into glowing "Digital Ribbons," allowing you to perceive market energy through neon-lit intensities. This script isn't just about aesthetics; it’s a professional-grade tool designed to identify trend strength, exhaustion, and reversals using 12 layers of Exponential Moving Averages (EMA). Key Features ・Dual-Stream ribbons: 　-Neon Magenta (Short-Term): Represents the "Drones" (traders' sentiment). 　-Neon Cyan (Long-Term): Represents the "Mainframe" (investors' foundation). ・Reactor Glow (Dynamic Background): The background pulsates based on the "Spread" between EMA3 and EMA30 relative to volatility (ATR). When the trend accelerates, the reactor glows brighter. ・System Signals: Real-time Golden Cross (System Boot) and Death Cross (System Critical) alerts. ・High-Tech UI: Bilingual settings (English/Japanese) for a seamless global experience. How to Use 1. Expansion (The Stream): When the ribbons spread apart and the background glows intensely, a strong trend is in progress. 2. Squeeze (The Compression): When all lines converge, the system is "recharging" for the next big breakout. 3. Cross (The Breach): Use the System Boot/Critical signals to identify potential entry and exit points. システムコンセプト データの潮流へ。Cyberpunk GMMA Reactor Pro は、グッピー複合移動平均線（GMMA）をベースにした高性能ビジュアライザーです。市場のトレンドを輝く「デジタル・リボン」へと変換し、ネオンの輝きによって相場のエネルギーを直感的に把握できます。 単なる見た目重視のツールではありません。12本の指数平滑移動平均線（EMA）を駆使し、トレンドの強さ、収束、反転を見極めるプロフェッショナル仕様のインジケーターです。 主な機能 ・デュアル・ストリーム・リボン： 　-ネオンマゼンタ（短期群）: 「ドローン（短期トレーダー）」の心理を反映。 　-ネオンシアン（長期群）: 「メインフレーム（長期投資家）」の基盤を反映。 ・リアクター・グロウ（背景発光）: EMA3とEMA30の乖離率をATR（ボラティリティ）で計算し、背景が動的に発光。トレンドが加速するほど光が強まります。 ・システム・シグナル: ゴールデンクロス（System Boot）とデッドクロス（System Critical）をリアルタイムで表示。 ・ハイテクUI: 英語と日本語を併記したバイリンガル設定画面。 トレードへの活用法 1. エクスパンション（拡散）: リボンが広がり、背景が強く発光している時は、強力なトレンドが継続中です。 2. スクイーズ（収束）: 全てのラインが一本に収束し始めたら、次なるブレイクアウトに向けたエネルギー充填のサインです。 3. クロス（突破）: System Boot / Criticalシグナルを参考に、エントリーや利確のタイミングを計ります。
Pine Script® indicator
by ken5_5489
Time Pattern Analyzer - Multi Mode [fmb]This is a lightweight session-behaviour overlay that helps you spot whether a market tends to move up or down at specific days or times. - Two analysis modes Weekday: Breaks performance down by Mon–Fri Hour of Day: Breaks performance down by 0–23 and can also track a single exact time (hour + minute), like 09:30 - Visual timing markers (optional) Draws vertical lines on the chart for the selected day(s) or time(s) Line colour reflects the bar direction: green (up), red (down), grey (neutral) Fully adjustable width and style (solid, dotted, dashed) - Flexible “green vs red” definition Body mode: Close > Open (candle body direction) Previous close mode: Close > Close (momentum vs prior bar) - Stats table (optional) For each day or hour, the table shows: Count (sample size) % Green % Red Average % move (average return for that bucket) Table can be positioned anywhere on the chart (top/bottom, left/centre/right) Use cases - Quickly identify recurring tendencies like “Mondays are strongest” or “first hour is choppy,” and validate timing ideas with clear counts and averages instead of guesswork. Note: This tool reports historical tendencies, not predictions. Always account for regime changes, news risk, and liquidity.
Pine Script® indicator
by Fullymobile
Laguerre Filter [BackQuant]Laguerre Filter Overview The Laguerre Filter is a powerful trend-following tool designed to smooth price action while maintaining responsiveness to market changes. It is based on the Laguerre recursive filter, which is a type of signal processing filter that adapts to both the current price dynamics and the underlying trend. The Laguerre Filter can be seen as a method to reduce market noise, enabling traders to more easily identify the strength and direction of trends while minimizing lag. The Laguerre Filter is well-suited for markets with varying volatility levels, offering a smoother representation of price action without the delay associated with traditional moving averages. By dynamically adjusting to price movements, the Laguerre Filter provides a more adaptive and reliable signal compared to simpler smoothing techniques. What is the Laguerre Filter? The Laguerre Filter is derived from the Laguerre polynomial, which is used in signal processing for smooth filtering of data. The Laguerre filter is a recursive filter, meaning that each new value is calculated based on both the current price data and previous values, with a weighting system that allows it to adapt to market conditions. This recursive nature helps reduce the impact of short-term fluctuations, enabling the filter to focus on the underlying trend. The Laguerre filter uses a feedback mechanism, where the input signal (price data) is smoothed iteratively. This iterative process helps avoid the lag that is typically associated with traditional moving averages while still capturing the overall trend direction. The filter is designed to have: Adaptive behavior: It reacts quickly to significant price changes while ignoring minor fluctuations. Reduced noise: By filtering out random short-term price movements, it provides a clearer view of the underlying trend. Customizability: Traders can adjust the filter’s sensitivity through user inputs, making it adaptable to different market conditions. Core Calculation Methodology The core of the Laguerre Filter lies in its recursive calculation: Each new value is calculated using the previous value along with the current price input. The recursive formula is governed by two key parameters: the damping factor (gamma) and the order of the filter (number of Laguerre elements). The damping factor controls how responsive the filter is to changes in price. A higher gamma value makes the filter smoother but introduces more lag, while a lower gamma value makes it more reactive to price changes but can introduce more noise. The order defines how many Laguerre elements are used in the calculation. A higher order results in a smoother output but with more delay, while a lower order provides a faster response but less smoothing. The filter works by weighting previous values with a binomial weighting system, which assigns more weight to recent values and less weight to older values. This creates a dynamic smoothing effect that adapts to price volatility, ensuring that the filter is neither too slow nor too noisy. Signal Logic and Trend Detection The Laguerre Filter continuously evaluates the strength and direction of the trend by comparing the current smoothed value to the previous value: If the current value is greater than the previous value, the trend is considered bullish, and the filter will signal a long condition. If the current value is less than the previous value, the trend is considered bearish, and the filter will signal a short condition. The trend detection logic is based on the recursive nature of the filter, which smooths price movements over time. This allows the filter to capture the broader trend while minimizing the influence of short-term price fluctuations. The trend state is also visually represented by color-coding: Green color represents an uptrend (bullish condition). Red color represents a downtrend (bearish condition). Neutral (white) indicates no clear trend direction. This color-coding helps traders easily identify the prevailing trend and decide whether to enter or exit trades based on the trend's strength. Laguerre Filter Behavior and Performance The performance of the Laguerre Filter can be influenced by several factors: Gamma (Damping Factor): A higher gamma value results in a smoother filter but increases lag. A lower gamma value allows for a faster response but may introduce more noise, making it more reactive to smaller price changes. Filter Order: The order determines how many Laguerre elements are used in the filter calculation. A higher order provides more smoothing but increases lag, while a lower order results in a quicker response but less smoothing. The sweet spot for gamma is typically between 0.7 and 0.85, where the filter offers a good balance between smoothness and responsiveness. The filter order is usually set to 4 for classic Laguerre filtering, but higher orders can be used for more smoothing if needed. The Laguerre Filter’s performance shines in markets with sustained trends, where the filter can effectively capture and represent the underlying direction without excessive lag. It is particularly useful in volatile markets, as it helps smooth out noise while providing a clear picture of the trend. Visual Presentation The Laguerre Filter provides a dynamic, color-coded line that follows the trend direction. This line can be displayed alongside price data to visually highlight the market trend. In addition to the main Laguerre line, several visual enhancements can be applied: Gradient fill between the price and the Laguerre Filter line, providing a visual cue for bullish or bearish market conditions. Candle coloring to reflect the current trend, making it easier to spot trend reversals or confirmations directly on the chart. Background shading to visually highlight areas of strong trend or consolidation. Edge glow effect that highlights trend boundaries, making it easy to spot key levels of support or resistance. These visual elements enhance the usability of the Laguerre Filter, allowing traders to quickly assess the market trend and make informed decisions. Practical Use Cases 1) Trend Following The Laguerre Filter is ideal for trend-following strategies. By using the filter to identify the prevailing trend, traders can: Enter long positions when the Laguerre Filter turns bullish (green). Enter short positions when the Laguerre Filter turns bearish (red). By aligning trades with the dominant trend, traders can improve their chances of success. 2) Trend Strength Assessment The Laguerre Filter can also be used to assess the strength of the trend: A rising Laguerre value indicates a strengthening uptrend. A falling Laguerre value indicates a strengthening downtrend. A flattening Laguerre value signals weakening momentum or consolidation. This information can be used to adjust position sizing or to decide when to enter or exit a trade. 3) Trade Management The Laguerre Filter can also assist in trade management: Use the Laguerre line as a trailing stop for long positions in an uptrend. Scale out of positions as the Laguerre value begins to flatten or reverse. Use the Laguerre Filter to avoid trades when the market is in consolidation or lacks a clear trend. Tuning Guidelines The Laguerre Filter can be adjusted for different market conditions using the following parameters: Gamma (Damping Factor): Adjust for the desired level of responsiveness versus smoothness. Typical values range from 0.7 to 0.85. Filter Order: Adjust to control the level of smoothing. The default value of 4 is a good starting point, but higher orders can be used for smoother filters. Summary The Laguerre Filter is a versatile and adaptive trend-following indicator that smooths price data and reduces noise, making it easier to identify and follow trends. By using recursive smoothing techniques and adjustable parameters, the Laguerre Filter provides an accurate representation of market conditions with minimal lag. It is especially useful in volatile markets where traditional moving averages may fail to capture the underlying trend. With its color-coded trend detection, gradient fills, and customizable settings, the Laguerre Filter is a powerful tool for traders looking to stay aligned with the prevailing market direction.
Pine Script® indicator
by BackQuant
1
Apex Wallet - Adaptive Commodity Channel Index (CCI) & HTF TrendOverview The Apex Wallet Commodity Channel Index (CCI) is a professional-grade momentum oscillator designed to identify cyclical trends and overbought/oversold conditions with an integrated trend-filtering engine. This script enhances the classic CCI by adding multi-timeframe trend analysis and adaptive calculation modes. Adaptive Trading Presets The indicator automatically recalibrates its internal periods based on your selected Trading Mode: Scalping: Uses fast-response settings (CCI 14, Signal 6, Trend 50) for lower timeframes. Day Trading: Standard balanced settings (CCI 20, Signal 9, Trend 100). Swing: Long-term filters (CCI 34, Signal 14, Trend 200) to capture major market waves. Key Features: Higher Timeframe (HTF) Trend Bias: Optional background shading based on a customizable Higher Timeframe (e.g., 1H trend while trading on 5m) to ensure you always trade in the direction of the "Big Picture". Market Trend Coloring: The CCI Signal line dynamically changes color (Green/Red/Gray) based on local market momentum relative to its moving average. Visual Clarity: Features standard CCI level bands (+100, 0, -100) with professional aesthetics for easy reading. How to Use: Select your preferred Trading Mode in the settings. Enable HTF Background to visualize the dominant trend from a higher timeframe. Look for CCI crosses or signal line color changes while the background confirms the overall market bias.
Pine Script® indicator
by Apex-Wallet