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Box Theory [Interactive Zones] PyraTimeThis script combines Nicholas Darvas’s "Box Theory" with modern Supply and Demand (Premium/Discount) concepts. It automatically identifies the most recent Swing High and Swing Low to delineate the current trading range. The purpose of this tool is to visualize market structure and help traders identify when price is relatively expensive (Premium) or cheap (Discount) within a defined range. Visual Guide: What You Are Seeing The Box: Represents the active trading range defined by the most recent significant Swing High and Swing Low. Red Zone (Premium): The top 25% of the range. Mathematically, prices here are considered "expensive" relative to the current structure. Green Zone (Discount): The bottom 25% of the range. Prices here are considered "cheap" relative to the current structure. Grey Zone (Equilibrium): The middle 50% of the range. This is the area of fair value where price often consolidates. Dashed Line (EQ): The exact 50% midpoint of the range. Tutorial: How to Trade Using This Indicator Method 1: Mean Reversion (Range Trading) This method applies when the market is moving sideways. Identify Structure: Wait for a box to form. Wait for Extremes: Do not trade when price is in the middle (Grey/White area). Wait for price to enter the Red or Green zones. Entry Trigger: Shorts: When price enters the Red Zone, look for a rejection (wicks leaving the zone) or a lower timeframe breakdown. Target the EQ (Midline) as your first take profit. Longs: When price enters the Green Zone, look for support formation. Target the EQ (Midline) as your first take profit. Method 2: Trend Continuation (Breakouts) This method applies when the market is trending strongly. Breakout: Monitor the alerts. A close outside the box indicates a potential shift in market structure. Retest: After a breakout up, the old "Red Zone" (Resistance) often flips to become new Support. Wait for price to pull back to the top of the old box before entering. Configuration Guide (Settings) Pivot Left/Right Bars (Sensitivity): Default (20/20): Best for Swing Trading. It filters out market noise and only draws boxes based on major structural points. Lower (5/5): Best for Scalping. It will create smaller, more frequent boxes but increases the risk of false signals. Zone Percentage: Default (25%): Standard deviation for Supply/Demand zones. Alternative (15%): Use this for "sniping" entries at the absolute extremes of the range. Multi-Timeframe (MTF): Enable "Use Higher Timeframe" to see Daily or Weekly ranges while trading on lower timeframes (like the 15m or 1H). This helps keep your intraday trades aligned with the major trend. Technical Note on "Lag" This indicator uses Pivots to draw the box. A pivot is only confirmed after a certain number of bars have passed (the "Pivot Right Bars" setting). Example: If "Pivot Right Bars" is set to 20, the box will update 20 bars after the actual high or low occurred. This is necessary to confirm that the point was indeed a Swing High/Low. Do not treat the box lines as predictive; they are reactive to confirmed structure.
Pine Script® indicator
by PyraTime
Adaptive Scaled LevelsThis indicator allows users to manually define a list of price levels (e.g., round or psychological numbers) and automatically scales them to fit any asset's current price range using an intelligent anchor point. It then plots dynamic horizontal zones ideal for identifying potential supply/demand or reaction areas. How It Works (Technical Methodology) Manual Price List Input Users enter a comma-separated list of price levels via a text area input (default example: 50,100,...,1400). These act as a "template" grid – often round numbers, psychological levels, or custom targets. Auto-Scaling Logic (Core Innovation) When enabled: Calculates the average of the input list. Determines a smart anchor price: Default (Lock = 0): Close price of the highest-volume bar in the last user-defined lookback period (default 200 bars), fetched from a selectable timeframe (default Daily) via request.security(). Override: User can manually lock the anchor to any fixed price. Computes a scale factor = Anchor / List Average. Multiplies every input level by this factor to adapt the entire grid to the current market (e.g., scales low-price templates to BTC's 60k+ range). Zone Construction For each scaled level: Creates a horizontal box centered on the level. Height = Level × user-defined percentage (default 0.5%) for volatility-adjusted thickness. Zones extend infinitely to the right for continuous reference. Supply/Demand Coloring Levels above current close: Supply color (default light gray) – potential resistance/overhead supply. Levels below current close: Demand color (default cyan) – potential support/underlying demand. Visual Elements Transparent filled boxes with borders. Optional labels showing "S" (Supply) or "D" (Demand) plus exact price. Clean, non-cluttering design – redraws only on last bar for performance. How to Use This tool is perfect for plotting adaptive psychological/round number grids across any asset without manual adjustment. Common Template: Use evenly spaced round numbers (e.g., 100 increments) as input – the script handles scaling. BTC/ETH/Crypto: Enable auto-scaling with Daily timeframe anchor for high-volume alignment (often near fair value). Forex/Stocks: Lower zone height % for tighter zones; use shorter lookback or lock anchor for stability. Trading Applications: Anticipate reactions/bounces at scaled levels (confluence with price action, volume, or order blocks). Supply zones (above price): Potential short entries or take-profit targets. Demand zones (below price): Potential long entries or stop-loss placement below. Override anchor for specific analysis (e.g., lock to all-time high). Best Practices: Combine with trend direction, higher-timeframe structure, or liquidity concepts for higher-probability setups. Highly versatile – works on any timeframe/asset, especially volatile ones like cryptocurrencies where fixed levels quickly become irrelevant. Disclaimer This indicator is a technical analysis tool and should be used in conjunction with other forms of analysis. Past performance does not guarantee future results. Always use proper risk management.
Pine Script® indicator
by s3u1l
Position Avg Line + P/L Table - SightLine LabsPosition Avg – SLL is a lightweight position-tracking indicator designed to display a persistent average price level on the chart along with a real-time position summary table. This script is non-trading and does not generate signals, entries, or exits. It is intended strictly for position awareness and visual reference. What this indicator does: Plots a persistent horizontal average price line (dashed by default) Displays a live position statistics table showing: Shares owned Average price Current price Unrealized profit/loss in dollars Unrealized profit/loss in percent Updates automatically as price changes Works across all timeframes Does not depend on broker integration or strategy logic Key features: Average Price Line: User-defined average price input Persistent across the entire chart Adjustable color and width Visibility toggle Position Table: Six selectable table positions: Top Left, Top Center, Top Right, Bottom Left, Bottom Center, Bottom Right Adjustable text size (Tiny through Huge) Optional table background fill Optional inner grid lines Optional outer frame border Independent color control for: Header background Header text Value text Positive and negative P/L values Chart Overlay Options: Optional chart background tint Does not modify the global chart theme Inputs overview: Position Settings: Shares Owned Average Price Visual Settings: Show or hide average price line Line color and width Table Settings: Table position Table text size Color Settings: Header background and text colors Value text color Positive and negative P/L colors Optional table background, grid, and frame colors How to use: Add the indicator to a chart Open the settings panel Enter the number of shares and the average price Adjust table position, size, and colors as desired Use the average price line and table as a visual reference for trade and risk management Notes and limitations: This indicator does not place trades It does not connect to any broker All values are manually entered Unrealized P/L is calculated using the chart’s current price Commissions, fees, and slippage are not included Disclaimer: This script is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or trade signals. All trading decisions are the sole responsibility of the user. Developed by SightLine Labs.
Pine Script® indicator
by SightLineLabs
Option Price SR (csgnanam)## ⚖️ Disclaimer This script is provided for **educational and analytical purposes only**. It does not constitute financial advice. Use proper risk management and trade responsibly. --- ## 📌 Indicator Concept & Trading Logic This is a rule-based reference indicator designed to interpret **option price behavior** using **previous-day derived equilibrium levels**. The indicator helps traders classify the market into **range-bound, breakout, or invalid trade zones** by observing how **ATM Call (CE) and Put (PE)** prices react around these levels. All levels are **fixed for the trading day** and recalculated only on the next session. --- ## 📊 Core Levels Explained The indicator plots the following **daily-anchored reference levels**: * **PDH / PDL** – Previous Day High / Low of the option * **PDC** – Previous Day Close * **100% AVG (Breakout Zone)** Average of previous-day CE and PE prices for the same strike * **75% AVG (Midzone)** Balance / decision zone * **50% AVG (Support Zone)** Lower acceptance / decay boundary These levels act as **reaction zones**, not prediction lines. --- ## 🧠 Market Interpretation Logic ### 1️⃣ Range-Bound Market Condition * When **both ATM CE and ATM PE** are **trading within the 100% AVG (Breakout) level**, the market has a **high probability of remaining range-bound**. * Premium expansion is limited on both sides. * Ideal environment for **non-directional strategies**. --- ### 2️⃣ Breakout Validation * A **true directional move** requires **asymmetry** between CE and PE. * If **one side moves into breakout**, the **opposite side must stay suppressed**. **Example:** * If **CE breaks down below Midzone**, then **PE must be above Breakout or at least above Midzone**. * The same logic applies inversely for PE breakdowns. This confirms **capital rotation**, not random premium decay. --- ### 3️⃣ Midzone (75%) – Reversal Watch Area * The **Midzone** is a **high-probability reaction area**. * Many intraday reversals initiate from this level. * Price acceptance or rejection here defines: * Continuation * Mean reversion * Failed breakout This zone should be **closely monitored for structure and volume behavior**. --- ### 4️⃣ Support Zone (50%) – Trade Invalidation * When an option price trades **below the Support (50%) level**: * That option side becomes **non-tradable** * Premium strength is lost * Risk increases significantly Trades **below support** are considered **low probability** and should be avoided. --- ## ⚠️ Important Usage Notes * This indicator is **not a buy/sell signal generator** * It is a **context and decision-filter tool** * Best used in combination with: * Price action * Structure * Spot/index behavior * Time-of-day context All levels are **session-anchored** and do **not repaint intraday**. --- ## 🎯 Intended Use Case * Intraday option traders * ATM / near-ATM focus * Range vs directional market identification * Premium behavior analysis * Trade filtering and risk control ---
Pine Script® indicator
by Sivagnanam
Trend Stress Quant [MarkitTick]💡This indicator combines a liquidity-based stress model with a dynamic linear regression channel to identify potential market exhaustion points and assess trend quality. By merging volume impact analysis with statistical deviation, this tool aims to highlight moments where price action may be overextended relative to the underlying liquidity conditions. ● Originality and Utility Standard volatility indicators often rely solely on price range (like Bollinger Bands). This script introduces a Stress Engine that normalizes the relationship between Price Range (True Range) and Volume. This helps distinguish between healthy price movements and liquidity-stress events (illiquidity). Furthermore, instead of using a fixed-length channel, this tool offers a Dynamic Mode that anchors the regression channel to recent pivot points, ensuring the statistical analysis aligns with the current market structure rather than an arbitrary timeframe. ● Methodology The script operates on two distinct mathematical models: • Illiquidity Stress Engine The core formula calculates a raw illiquidity metric based on the log-normal distribution of the ratio between True Range and Volume. A Z-Score (standard score) is then derived from this data over a specific lookback period. High Z-Scores indicate that price is moving disproportionately fast relative to the available volume, often a signature of panic selling or euphoric buying (exhaustion). • Linear Regression Channel The script calculates an Ordinary Least Squares (OLS) regression line (the line of best fit) to determine the mean price trend. Standard Deviation Bands are plotted parallel to this mean. Pearson Correlation Coefficient (R) is calculated to quantify the strength of the linear trend. Values closer to 1 or -1 indicate a strong trend, while values near 0 indicate a chaotic or ranging market. 📑 How to Use Traders can utilize the visual outputs for mean reversion or trend continuation context: • Exhaustion Signals (SE / BE Labels) SE (Seller Exhaustion): Appears when the market is in a downtrend, but the Stress Engine detects a statistical anomaly (High Z-Score) on a down candle. This suggests panic selling may be peaking. BE (Buyer Exhaustion): Appears when the market is in an uptrend, but the Stress Engine detects high stress on an up candle, suggesting a potential blow-off top. • Regression Channel The dashed middle line represents the fair value (mean) of the current trend. The outer bands represent statistical extremes. Price interacting with the outer bands (default 2 Standard Deviations) while coincident with an Exhaustion Signal provides a high-confluence area of interest. • Metrics Dashboard A dashboard displays the current Trend Regime, Exhaustion Status, and Channel Width (volatility percentage). ● Settings • Exhaustion Model Trend Filter Length: Sets the baseline EMA to determine if the market is bullish or bearish. Stress Threshold (Sigma): The Z-Score required to trigger an exhaustion signal (default is 2.0). • Channel Configuration Dynamic Pivot Mode: If enabled, automatically calculates the channel length based on recent pivots. If disabled, uses the Fixed Length. Standard Deviations: Controls the width of the inner and outer channel bands. 📖This guide explains how to interpret and utilize signals for trading: The script is designed primarily for Mean Reversion and Exhaustion trading strategies. ● The Core Strategy: Volatility Exhaustion The script uses a "Stress Engine" to identify when price movement is statistically overextended relative to the available liquidity (Volume). • Setup A: The "Seller Exhaustion" (Bullish Bounce) Look for this setup during a downtrend to catch a temporary bottom or a reversal. Trend Condition: The dashboard shows Bearish (Price is below the trend filter). Trigger: The label SE (Seller Exhaustion) appears below a candle. Why? This indicates that selling pressure was intense but likely panic-driven (High Z-Score/Stress) and may be drying up. Confluence: Ideally, this signal appears when the price is touching or piercing the Lower Channel Band (dotted or solid lines). Action: Traders often use this as a signal to close Short positions or enter a speculative Long (counter-trend) targeting the middle line. • Setup B: The "Buyer Exhaustion" (Bearish Pullback) Look for this setup during an uptrend to catch a local top. Trend Condition: The dashboard shows Bullish . Trigger: The label BE (Buyer Exhaustion) appears above a candle. Why? This indicates euphoric buying on low liquidity or extreme volatility that is statistically unsustainable. Confluence: Look for price rejection at the Upper Channel Band. Action: Traders often use this to close Long positions or enter a Short targeting the mean. ● The Filter: Trend & Correlation The script includes a Linear Regression Channel that quantifies the quality of the trend. • Channel Slope If the channel is angling steeply up or down, the trend is strong. • Pearson R (Correlation) The script calculates the Pearson R coefficient. Weak Correlation: If the channel turns Gray/Neutral (or the fill becomes weak), it means the correlation is below the threshold (default 0.5). Trading Rule: Avoid trading exhaustion signals when the channel is Gray/Neutral, as the market is likely chopping sideways with no clear direction. ● Risk Management & Targets • Stop Loss Since this is a volatility tool, a common technique is to place stops just outside the Outer Deviation Band (the widest line). If price expands beyond the outer band with no exhaustion signal, the trend may be entering a "runaway" phase. • Take Profit Target 1: The Middle Regression Line (The dashed center line). Prices tend to revert to this mean after an exhaustion event. Target 2: The opposite channel band (e.g., if you bought at the bottom, hold until the top). ● Summary of Dashboard Metrics The table on your chart provides a quick snapshot: Trend Regime: Tells you if you should fundamentally look for Shorts (Bearish) or Longs (Bullish). Seller/Buyer Status: Alerts you if the current bar is EXHAUSTED or Normal . Channel Width %: Indicates volatility. If the width is very low (percentage is small), a breakout might be imminent (squeezing). If high, be careful of chop. ⚙️ Indicator settings • Signal Parameters Exhaustion & Stress Model: Controls signal sensitivity. Trend Filter: Decides if the market is Bullish or Bearish. Stress Threshold (Sigma): Higher values (e.g., 2.5) make the script stricter, showing fewer but potentially stronger signals. • Channel Configuration Dynamic Pivot Mode: If ON, the channel length auto-adjusts to recent market pivots. If OFF, it uses the Fixed Length you set. Channel Bands: Adjusts the channel width. Outer Deviation: The boundary for "extreme" moves. Price hitting this often signals a reversal. • Quality Filter Filter Weak Correlations: If enabled, the channel turns gray during choppy/sideways markets to warn you not to trust trend signals. • Visuals Display Options: Toggles the "Stats" dashboard and adjusts volatility coloring. ● Disclaimer All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
Pine Script® indicator
by MarkitTick
High/Low ARDR-ADR-WDRR-DDR V1Tracks the high and Low in 4 different tIme Frames ARDR-ADR-WDRR-DDR -You can set your own time frames -Display lines or boxes -Each line can have its own label -Set own colors and linestyles -Each box can also have their own lines at 75%, 50% and 25% of the box if that's needed -Toggle wich session to display -Toggle to auto extend untill Extended time -Toggle to live update lines/boxes during live priceaction or to display the lines / boxes after the End Time DDR lines have no history, so after 15:55 the DDR lines disappear and gets drawn again the next day starting at 04:00. Happy Trading!!
Pine Script® indicator
by tongercore
High-Probability Scalper (Market Open)Market open is where volatility is real, spreads are tight, and momentum shows itself early. This scalping strategy is built specifically to operate during that window, filtering out low-quality signals that usually appear later in the session. Instead of trading all day, the logic is restricted to the first 90 minutes after market open, where continuation moves and fast pullbacks are more reliable. What This Strategy Does This script looks for short-term momentum alignment using: Fast vs slow EMA structure RSI confirmation to avoid chasing extremes ATR-based risk control Session-based filtering to trade only when volume matters It’s designed for intraday scalping, not swing trading. Core Trading Logic 1. Market Open Filter Trades are allowed only between 09:30 – 11:00 exchange time. This avoids low-liquidity chop and focuses on the period where most breakouts and reversals form. 2. Trend Confirmation Bullish bias: 9 EMA crosses above 21 EMA Bearish bias: 9 EMA crosses below 21 EMA This keeps trades aligned with short-term direction instead of random entries. 3. Momentum Check (RSI) RSI is used as a quality filter, not as an overbought/oversold signal. Long trades only when RSI is strong but not extended Short trades only when RSI shows weakness without exhaustion This removes late entries and reduces whipsaws. Entries & Exits Entries Executed only on confirmed candles No intrabar repainting One position at a time Risk Management Stop-loss based on ATR Take-profit calculated using a fixed risk–reward ratio Same structure for both long and short trades This keeps risk consistent across different symbols and volatility levels. Why This Strategy Works Better at Market Open Volume is highest False breakouts are fewer EMA crosses have follow-through RSI behaves more cleanly By not trading all day, the strategy avoids most of the noise that kills scalpers. Best Use Cases Index futures High-liquidity stocks Major crypto pairs during active sessions 1m to 5m timeframes What This Strategy Is NOT Not a martingale Not grid-based Not designed for ranging markets Not a “set and forget” system It’s a controlled scalping template meant for disciplined execution. How to Use It Properly Test on multiple symbols Adjust ATR length for volatility Tune RSI ranges per market Always forward-test before live alerts Final Note This strategy focuses on structure, timing, and risk, not indicator stacking. If you trade the open, this gives you a clear framework instead of emotional entries. If you want: Alerts Session customization News filters Partial exits You can extend this logic without breaking the core system.
Pine Script® strategy
by AIScripts
ChromaFlows Momentum Index | LUPENIndicator Guide: ChromaFlows Momentum Index Overview The ChromaFlows Momentum Index is a next-generation momentum oscillator designed to filter out market noise and visualize pure trend strength. Unlike traditional indicators that often give conflicting signals, ChromaFlows uses a Consensus Algorithm. It simultaneously analyzes three distinct engines—RSI, Fast Stochastic, and Slow Stochastic—and only lights up when they all agree on the market direction. The result is a fluid, glowing "Wave" that provides an immediate visual read on market sentiment: Green Glow: Strong Bullish Consensus (Safe to buy/hold). Red Glow: Strong Bearish Consensus (Safe to sell/short). Gray/Neutral: Indecision or Choppy Market (Stay out or tread carefully). Key Visual Components 1. The Gradient Wave (Main Oscillator) This is the heartbeat of the indicator. It is usually based on the Slow Stochastic (customizable in settings) but its color is determined by the Consensus Logic. How to read it: The higher the wave, the more overbought; the lower, the more oversold. However, pay attention to the Glow Intensity. A bright, solid color indicates all underlying indicators are aligned. 2. The SMI Line (Gold Line) Overlaid on the wave is the SMI (Stochastic Momentum Index) Blau line. This acts as a fast-moving "Signal Line". Usage: Watch for how this line interacts with the main wave. It leads price action and often signals reversals before they happen. 3. Signal Arrows (Triangles on the Wave) ▲ Cyan Triangle: SMI Crossover UP. This occurs when the Main Wave crosses above the SMI Signal line. This is a potential Long Entry. ▼ Magenta Triangle: SMI Crossover DOWN. This occurs when the Main Wave crosses below the SMI Signal line. This is a potential Short Entry. 4. Hull Trend Markers (Circles/Shapes at Edges) Located at the very top and bottom of the indicator panel are the Hull Moving Average (HMA) filters. Bottom Blue/Green Marker: The longer-term Hull Trend is UP. Top Orange/Red Marker: The longer-term Hull Trend is DOWN. How to Trade Strategy ✅ The "Flow" Setup (High Probability) This strategy focuses on taking trades with the momentum consensus. Wait for the Glow: Look for the Wave to turn Neon Green (Bullish) or Neon Red (Bearish). This confirms momentum is present. Check the Filter: Ensure the Hull Trend Marker (at the top/bottom) matches the wave color (e.g., Blue marker + Green Wave). The Trigger: Enter when a Triangle Signal Arrow appears in the direction of the color. Example: Wave is Green + Cyan Triangle appears = STRONG BUY. ⚠️ The "Reversal" Setup (Aggressive) Divergence: Price makes a new high, but the ChromaFlows Wave makes a lower high. Color Shift: The wave changes from Green to Gray (Neutral), indicating momentum is dying. The Trigger: Wait for a Magenta Triangle (Cross Down) to confirm the reversal. ⛔ The "No-Trade" Zone When the Wave is Gray and hovering near the zero line, the markets are ranging or the indicators are conflicting. It is statistically safer to stand aside until the "ChromaFlow" (Green or Red color) returns. Settings Configuration Wave Source: Choose which oscillator drives the main wave (Default: Stochastic_2). Consensus Sensitivity: Adjust the periods of the RSI and Stochastics to make the "Glow" appear faster (more signals) or slower (more filtering). Visuals: All colors are fully customizable via Hex codes to match your chart theme.
Pine Script® indicator
by Horazio
Adaptive ML Trailing Stop [BOSWaves]Adaptive ML Trailing Stop – Regime-Aware Risk Control with KAMA Adaptation and Pattern-Based Intelligence Overview Adaptive ML Trailing Stop is a regime-sensitive trailing stop and risk control system that adjusts stop placement dynamically as market behavior shifts, using efficiency-based smoothing and pattern-informed biasing. Instead of operating with fixed ATR offsets or rigid trailing rules, stop distance, responsiveness, and directional treatment are continuously recalculated using market efficiency, volatility conditions, and historical pattern resemblance. This creates a live trailing structure that responds immediately to regime change - contracting during orderly directional movement, relaxing during rotational conditions, and applying probabilistic refinement when pattern confidence is present. Price is therefore assessed relative to adaptive, condition-aware trailing boundaries rather than static stop levels. Conceptual Framework Adaptive ML Trailing Stop is founded on the idea that effective risk control depends on regime context rather than price location alone. Conventional trailing mechanisms apply constant volatility multipliers, which often results in trend suppression or delayed exits. This framework replaces static logic with adaptive behavior shaped by efficiency state and observed historical outcomes. Three core principles guide the design: Stop distance should adjust in proportion to market efficiency. Smoothing behavior must respond to regime changes. Trailing logic benefits from probabilistic context instead of fixed rules. This shifts trailing stops from rigid exit tools into adaptive, regime-responsive risk boundaries. Theoretical Foundation The indicator combines adaptive averaging techniques, volatility-based distance modeling, and similarity-weighted pattern analysis. Kaufman’s Adaptive Moving Average (KAMA) is used to quantify directional efficiency, allowing smoothing intensity and stop behavior to scale with trend quality. Average True Range (ATR) defines the volatility reference, while a K-Nearest Neighbors (KNN) process evaluates historical price patterns to introduce directional weighting when appropriate. Three internal systems operate in tandem: KAMA Efficiency Engine : Evaluates directional efficiency to distinguish structured trends from range conditions and modulate smoothing and stop behavior. Adaptive ATR Stop Engine : Expands or contracts ATR-derived stop distance based on efficiency, tightening during strong trends and widening in low-efficiency environments. KNN Pattern Influence Layer : Applies distance-weighted historical pattern outcomes to subtly influence stop placement on both sides. This design allows stop behavior to evolve with market context rather than reacting mechanically to price changes. How It Works Adaptive ML Trailing Stop evaluates price through a sequence of adaptive processes: Efficiency-Based Regime Identification : KAMA efficiency determines whether conditions favor trend continuation or rotational movement, influencing stop sensitivity. Volatility-Responsive Scaling : ATR-based stop distance adjusts automatically as efficiency rises or falls. Pattern-Weighted Adjustment : KNN compares recent price sequences to historical analogs, applying confidence-based bias to stop positioning. Adaptive Stop Smoothing : Long and short stop levels are smoothed using KAMA logic to maintain structural stability while remaining responsive. Directional Trailing Enforcement : Stops advance only in the direction of the prevailing regime, preserving invalidation structure. Gradient Distance Visualization : Gradient fills reflect the relative distance between price and the active stop. Controlled Interaction Markers : Diamond markers highlight meaningful stop interactions, filtered through cooldown logic to reduce clustering. Together, these elements form a continuously adapting trailing stop system rather than a fixed exit mechanism. Interpretation Adaptive ML Trailing Stop should be interpreted as a dynamic risk envelope: Long Stop (Green) : Acts as the downside invalidation level during bullish regimes, tightening as efficiency improves. Short Stop (Red) : Serves as the upside invalidation level during bearish regimes, adjusting width based on efficiency and volatility. Trend State Changes : Regime flips occur only after confirmed stop breaches, filtering temporary price spikes. Gradient Depth : Deeper gradient penetration indicates increased extension from the stop rather than imminent reversal. Pattern Influence : KNN weighting affects stop behavior only when historical agreement is strong and remains neutral otherwise. Distance, efficiency, and context outweigh isolated price interactions. Signal Logic & Visual Cues Adaptive ML Trailing Stop presents two primary visual signals: Trend Transition Circles : Display when price crosses the opposing trailing stop, confirming a regime change rather than anticipating one. Stop Interaction Diamonds : Indicate controlled contact with the active stop, subject to cooldown filtering to avoid excessive signals. Alert generation is limited to confirmed trend transitions to maintain clarity. Strategy Integration Adaptive ML Trailing Stop fits within trend-following and risk-managed trading approaches: Dynamic Risk Framing : Use adaptive stops as evolving invalidation levels instead of fixed exits. Directional Alignment : Base execution on confirmed regime state rather than speculative reversals. Efficiency-Based Tolerance : Allow greater price fluctuation during inefficient movement while enforcing tighter control during clean trends. Pattern-Guided Refinement : Let KNN influence adjust sensitivity without overriding core structure. Multi-Timeframe Context : Apply higher-timeframe efficiency states to inform lower-timeframe stop responsiveness. Technical Implementation Details Core Engine : KAMA-based efficiency measurement with adaptive smoothing Volatility Model : ATR-derived stop distance scaled by regime Machine Learning Layer : Distance-weighted KNN with confidence modulation Visualization : Directional trailing stops with layered gradient fills Signal Logic : Regime-based transitions and controlled interaction markers Performance Profile : Optimized for real-time chart execution Optimal Application Parameters Timeframe Guidance: 1 - 5 min : Tight adaptive trailing for short-term momentum control 15 - 60 min : Structured intraday trend supervision 4H - Daily : Higher-timeframe regime monitoring Suggested Baseline Configuration: KAMA Length : 20 Fast/Slow Periods : 15 / 50 ATR Period : 21 Base ATR Multiplier : 2.5 Adaptive Strength : 1.0 KNN Neighbors : 7 KNN Influence : 0.2 These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance. Parameter Calibration Notes Use the following adjustments to refine behavior without altering the core logic: Excessive chop or overreaction : Increase KAMA Length, Slow Period, and ATR Period to reinforce regime filtering. Stops feel overly permissive : Reduce the Base ATR Multiplier to tighten invalidation boundaries. Frequent false regime shifts : Increase KNN Neighbors to demand stronger historical agreement. Delayed adaptation : Decrease KAMA Length and Fast Period to improve responsiveness during regime change. Adjustments should be incremental and evaluated over multiple market cycles rather than isolated sessions. Performance Characteristics High Effectiveness: Markets exhibiting sustained directional efficiency Instruments with recurring structural behavior Trend-oriented, risk-managed strategies Reduced Effectiveness: Highly erratic or event-driven price action Illiquid markets with unreliable volatility readings Integration Guidelines Confluence : Combine with BOSWaves structure or trend indicators Discipline : Follow adaptive stop behavior rather than forcing exits Risk Framing : Treat stops as adaptive boundaries, not forecasts Regime Awareness : Always interpret stop behavior within efficiency context Disclaimer Adaptive ML Trailing Stop is a professional-grade adaptive risk and regime management tool. It does not forecast price movement and does not guarantee profitability. Results depend on market conditions, parameter selection, and disciplined execution. BOSWaves recommends deploying this indicator within a broader analytical framework that incorporates structure, volatility, and contextual risk management.
Pine Script® indicator
by BOSWaves
2
SD-Range Oscillator | QuantEdgeBSD-Range Oscillator | QuantEdgeB 🔍 Overview SD-Range Oscillator | QuantEdgeB (SDRO) is a normalized momentum oscillator that compresses a low-lag trend core into a 0–100 style range using standard-deviation (SD) bands. It builds a smooth baseline from a fast triple-smoothed average, wraps it with ±2×SD volatility bounds, then normalizes the core value inside that envelope. Clear Long/Short regimes trigger when the normalized value crosses user-defined thresholds, with optional labels, regime-colored candles, and intuitive filled zones. ✨ Key Features 1.⚡ Low-Lag Core (Triple-Smooth Engine) - Uses a fast, low-lag triple-smoothed average as the oscillator’s primary signal input. - Helps keep momentum readings responsive while filtering noise. 2. 📏 SD Volatility Envelope (±2×SD) - Builds a volatility channel around a smoothed baseline using standard deviation. - Automatically adapts to changing market turbulence. 3. 🧮 Normalized Range Output - Converts the core signal into a normalized value by mapping it between the upper/lower SD bounds. - Makes readings consistent across assets and timeframes. 4. 🎯 Threshold-Based Regimes - Long when the normalized value exceeds the Long threshold. - Short when it falls below the Short threshold. - Includes an additional safety filter to reduce “forced” longs when price is already extended near the upper envelope. 5. 🎨 Visual Clarity & Zones - Regime-colored oscillator line and candles. - Filled SD bands around the baseline for quick volatility context. - Optional highlight fills between the oscillator and thresholds to show active long/short phases. - Extra OB/OS background zones for quick overextension awareness. 6. 🔔 Signals & Alerts - Optional “Long/Short” labels on confirmed regime flips. - Alert conditions fire on long/short regime crossovers. 💼 Use Cases • Momentum Confirmation: Validate breakouts by requiring SDRO to hold above the Long threshold. • Mean-Reversion Awareness: Watch for extreme normalized readings near upper/lower bounds. • Regime Filtering: Use SDRO state (Long/Short/Neutral) to filter trades from other systems. • Cross-Market Comparison: Normalization makes it easier to compare momentum across different tickers. 🎯 For Who • Trend traders who want a clean momentum filter with adaptive volatility context. • System builders needing a simple regime variable (1 / -1 / neutral) to gate entries. • Discretionary traders who like visual confirmation (fills, candle coloring, threshold zones). • Multi-asset traders who benefit from normalized, comparable oscillator readings. ⚙️ Default Settings • TEMA Period: 7 • Base Length (SMMA): 25 • Long Threshold: 55 • Short Threshold: 45 • SD Multiplier: 2× (fixed in code) • Color Mode: Alpha • Color Transparency: 60 • Labels: Off by default 📌 Conclusion SD-Range Oscillator | QuantEdgeB blends a low-lag triple-smoothed core with an adaptive SD envelope to produce a normalized, easy-to-read momentum signal. With clear threshold regimes, volatility-aware context, and strong visuals (fills + candle coloring), SDRO helps separate meaningful momentum shifts from noise across any asset or timeframe. 🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading. 🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® indicator
by QuantEdgeB
1
Momentum Echo Oscillator [Community Edition]Concept: The Momentum Echo Oscillator (MEO) is a modern take on classical momentum oscillators. Most indicators only look at the "now". MEO introduces the concept of Momentum Echoes—historical momentum harmonics that are weighted and blended back into the current price velocity. Why use MEO? Standard momentum tools (like ROC or RSI) can be very "jittery" or noisy. By integrating historical echoes, MEO provides a smoother, more rhythmic representation of price flow, making it easier to spot genuine trend reversals. Key Elements: Primary Momentum: The immediate speed of price. Echo Harmonics: Two adjustable lookback points that act as a "memory" for the indicator, filtering out false breakouts. Dynamic Histogram: Visualizes the gap between the Echo Engine and the Trigger Line, highlighting acceleration and deceleration. Settings: Echo Weight: Adjust how much "memory" you want the indicator to have. Smoothing: Clean up the signals for higher timeframes. This is an open-source tool for the TradingView community. Enjoy!
Pine Script® indicator
by OsilatorindicatorPro
TwinSmooth ATR Bands | QuantEdgeBTwinSmooth ATR Bands | QuantEdgeB 🔍 Overview TwinSmooth ATR Bands | QuantEdgeB is a dual-smoothing, ATR-adaptive trend filter that blends two complementary smoothing engines into a single baseline, then builds dynamic ATR bands around it to detect decisive breakouts. When price closes above the upper band it triggers a Long regime; when it closes below the lower band it flips to Short—otherwise it stays neutral. The script enhances clarity with regime-colored candles, an active-band fill, and an optional on-chart backtest table. ✨ Key Features 1. 🧠 Twin-Smooth Baseline (Dual Engine Blend) - Computes two separate smoothed baselines (a slower “smooth” leg + a faster “responsive” leg). - Blends them into a single midpoint baseline for balanced stability + speed. - Applies an extra EMA smoothing pass to produce a clean trend_base. 2. 📏 ATR Volatility Bands - Builds upper/lower bands using ATR × multiplier around the trend_base. - Bands expand in volatile conditions and contract when markets quiet down—auto-adapting without manual tweaks. 3. ⚡ Clear Breakout Regime Logic - Long when close > upperBand. - Short when close < lowerBand. - Neutral otherwise (no forced signals inside the band zone). 4. 🎨 Visual Clarity - Plots only the active band (lower band in long regime, upper band in short regime). - Fills between active band and price for instant regime context. - Colors candles to match the current state (bullish / bearish / neutral). - Multiple color palettes + transparency control. 💼 Use Cases • Trend Confirmation Filter: Use the regime as a higher-confidence trend gate for entries from other indicators. • Breakout/Breakdown Trigger: Trade closes outside ATR bands to catch momentum expansions. • Volatility-Aware Stops/Targets: Bands naturally reflect volatility, making them useful as adaptive reference levels. • Multi-Timeframe Alignment: Confirm higher-timeframe regime before executing on lower timeframes. 🎯 For Who • Trend Traders who want clean regime shifts without constant whipsaw. • Breakout Traders who prefer confirmation via ATR expansion rather than raw MA crossovers. • System Builders needing a simple, robust “state engine” (Long / Short / Neutral) to plug into larger strategies. • Analysts who want quick on-chart validation with a backtest table. ⚙️ Default Settings • SMMA Length (Base Smooth Leg): 24 • TEMA Length (Base Responsive Leg): 8 • EMA Extra Smoothing: 14 • ATR Length: 14 • ATR Multiplier: 1.1 • Color Mode: Alpha • Color Transparency: 30 • Backtest Table: On (toggleable) • Backtest Start Date: 09 Oct 2017 • Labels: Off by default 📌 Conclusion TwinSmooth ATR Bands | QuantEdgeB merges a dual-speed smoothing core into a single trend baseline, then wraps it with ATR-based bands to deliver clean, volatility-adjusted breakout signals. With regime coloring, active-band plotting, and optional backtest stats, it’s a compact, readable tool for spotting momentum shifts and trend continuation across any market and timeframe. 🔹 Disclaimer: Past performance is not indicative of future results. Always backtest and align settings with your risk tolerance and objectives before live trading. 🔹 Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Pine Script® indicator
by QuantEdgeB
3