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Golden Pocket Syndicate [GPS]Golden Pocket Syndicate is a multi-layered market analysis toolkit built for precision entries and sniper-style reversals in both trending and ranging conditions. The script fuses volume dynamics, golden pocket structures, market maker behavior, and liquidation cluster tracking into one high-confluence system. Core Features: • 📐 Golden Pocket Zones: Dynamic GP levels from daily, weekly, monthly, and yearly timeframes. These levels update in real-time and serve as confluence zones for entries and exits. • 📊 WaveTrend Divergence Diamonds: Momentum shifts are detected using a custom filtered WaveTrend cross system to mark high-probability reversal conditions. • 🧠 Market Maker Premium Divergence: Tracks price dislocation between CME and Binance to detect large player manipulation using a configurable premium threshold. • 💎 MM Reversal Diamonds: Identifies potential market maker traps and large player pivots using historical candle behavior, EMA alignment, and price structure breaks. • 📉 Stealth Liquidation Cluster Arrows: Volume-based liquidation pressure visualized as lightweight directional arrows based on calculated wick expansion and volume bursts. Highlights key zones where price is likely to bounce or reject. • 🧭 Trend Validation: Uses volume-based trend conditions and short-term EMA positioning to further qualify signals and eliminate noise. How to Use: This indicator is designed to help traders visualize confluence between key institutional price levels, momentum shifts, and volume-based pressure points. Long/short opportunities can be explored at marked reversal diamonds or liquidation zones that align with key GP levels. Intended for use on higher timeframes (15m to 4H), though flexible across any pair or market.
Indicatore Pine Script®
di RickyTSpanish
DIP BUYING by HAZEREAL BUY THE DIP - Educational Price Movement Indicator This technical indicator is designed for educational purposes to help traders identify potential price reversal opportunities in equity markets, particularly focusing on NASDAQ-100 index tracking instruments and technology sector ETFs. Key Features: Monitors price movements relative to recent highs over customizable lookback periods Identifies two distinct price decline thresholds: standard (5%+) and extreme (12.3%+) Visual signals with triangular markers and background color zones Real-time data table showing current metrics and status Customizable alert system with webhook-ready JSON formatting Clean overlay design that doesn't obstruct price action How It Works: The indicator tracks the highest price within a specified lookback period and calculates the percentage decline from that high. When price drops below the minimum threshold, it generates visual buy signals. The extreme threshold triggers enhanced alerts for more significant market movements. Best Use Cases: Educational analysis of market volatility patterns Identifying potential support levels during market corrections Studying historical price behavior around significant declines Risk management and position sizing education Important Note: This is a technical analysis tool for educational purposes only. All trading decisions should be based on comprehensive analysis and appropriate risk management. Past performance does not guarantee future results.
Indicatore Pine Script®
di profitgang
GCM Bull Bear RiderGCM Bull Bear Rider (GCM BBR) Your Ultimate Trend-Riding Companion GCM Bull Bear Rider is a comprehensive, all-in-one trend analysis tool designed to eliminate guesswork and provide a crystal-clear view of market direction. By leveraging a highly responsive Jurik Moving Average (JMA), this indicator not only identifies bullish and bearish trends with precision but also tracks their performance in real-time, helping you ride the waves of momentum from start to finish. Whether you are a scalper, day trader, or swing trader, the GCM BBR adapts to your style, offering a clean, intuitive, and powerful visual guide to the market's pulse. Key Features JMA-Powered Trend Lines (UTPL & DTPL): The core of the indicator. A green "Up Trend Period Line" (UTPL) appears when the JMA's slope turns positive (buyers are in control), and a red "Down Trend Period Line" (DTPL) appears when the slope turns negative (sellers are in control). The JMA is used for its low lag and superior smoothing, giving you timely and reliable trend signals. Live Profit Tracking Labels: This is the standout feature. As soon as a trend period begins, a label appears showing the real-time profit (P:) from the trend's starting price. This label moves with the trend, giving you instant feedback on its performance and helping you make informed trade management decisions. Historical Performance Analysis: The profit labels remain on the chart for completed trends, allowing you to instantly review past performance. See at a glance which trends were profitable and which were not, aiding in strategy refinement and backtesting. Automatic Chart Decluttering: To keep your chart clean and focused on significant moves, the indicator automatically removes the historical profit label for any trend that fails to achieve a minimum profit threshold (default is 0.5 points). Dual-Ribbon Momentum System: JMA / Short EMA Ribbon: Visualizes short-term momentum. A green fill indicates immediate bullish strength, while a red fill shows bearish pressure. Short EMA / Long EMA Ribbon: Acts as a long-term trend filter, providing broader market context for your decisions. "GCM Hunt" Entry Signals: The indicator includes optional pullback entry signals (green and red triangles). These appear when the price pulls back to a key moving average and then recovers in the direction of the primary trend, offering high-probability entry opportunities. How to Use Identify the Trend: Look for the appearance of a solid green line (UTPL) for a bullish bias or a solid red line (DTPL) for a bearish bias. Use the wider EMA ribbon for macro trend confirmation. Time Your Entry: For aggressive entries, you can enter as soon as a new trend line appears. For more conservative entries, wait for a "GCM Hunt" triangle signal, which confirms a successful pullback. Ride the Trend & Manage Your Trade: The moving profit label (P:) is your guide. As long as the trend line continues and the profit is increasing, you can confidently stay in the trade. A flattening JMA or a decreasing profit value can signal that the trend is losing steam. Focus Your Strategy: Use the Display Mode setting to switch between "Buyers Only," "Sellers Only," or both. This allows you to completely hide opposing signals and focus solely on long or short opportunities. Core Settings Display Mode: The master switch. Choose to see visuals for "Buyers & Sellers," "Buyers Only," or "Sellers Only." JMA Settings (Length, Phase): Fine-tune the responsiveness of the core JMA engine. EMA Settings (Long, Short): Adjust the lengths of the moving averages that define the ribbons and "Hunt" signals. Label Offset (ATR Multiplier): Customize the gap between the trend lines and the profit labels to avoid overlap with candles. Filters (EMA, RSI, ATR, Strong Candle): Enable or disable various confirmation filters to strengthen the "Hunt" entry signals according to your risk tolerance. Add the GCM Bull Bear Rider to your chart today and transform the way you see and trade the trend! ENJOY
Indicatore Pine Script®
di uniGram
LabelManagementLabel management with fluent configuration, change tracking, and named registry LabelManagement is a Pine Script library for creating and managing dynamic chart labels. Built with a fluent-style API , it simplifies label creation, styling, positioning, and content updates through method chaining and centralized control. Manage 'sticky' labels easily across bars with expressive, readable code that reduces clutter and improves code clarity. Example usage: // Close label – to the right of the last bar labels.get("close") .style(label.style_label_left) .bgColor(color.gray) .xy(bar_index, close) .textValue("C: " + str.tostring(close, "#.##")) .textColor(color.white) .tooltip("This is the close price") .apply() Key features: Fluent API – Build and update labels using a chainable configuration flow Named label registry – Access and manage labels by name, e.g., "entry", "stop", "target" Change tracking – Update only when necessary to reduce redraws Deferred application – Apply all changes in one efficient operation Centralized control – Works well in modular or multi-label environments This library is designed for Pine developers who want more control and less boilerplate when managing visual elements on the chart. method clone(this)   Creates a new LabelConfig by copying all properties from this instance   Namespace types: LabelConfig   Parameters:      this (LabelConfig) : (LabelConfig) The LabelConfig instance   Returns: (LabelConfig) New LabelConfig instance with identical properties method applyTo(this, target)   Applies configuration to specified label (required parameter)   Namespace types: LabelConfig   Parameters:      this (LabelConfig) : (LabelConfig) The LabelConfig instance      target (label) : (label) Label to apply config to   Returns: (LabelConfig) Self-reference for method chaining method update(this, updates)   Creates a new LabelUpdater with change tracking for this label   Namespace types: series label   Parameters:      this (label) : (label) The label instance      updates (LabelConfig) : (LabelConfig) Optional existing config to apply and reuse (if provided, applies to label first)   Returns: (LabelUpdater) New LabelUpdater with blank configs for change tracking method x(this, value)   Sets the X coordinate with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (int) : (int) New X coordinate   Returns: (LabelUpdater) Self-reference for method chaining method y(this, value)   Sets the Y coordinate with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (float) : (float) New Y coordinate   Returns: (LabelUpdater) Self-reference for method chaining method xy(this, x, y)   Sets both X and Y coordinates with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      x (int) : (int) New X coordinate      y (float) : (float) New Y coordinate   Returns: (LabelUpdater) Self-reference for method chaining method textValue(this, value)   Sets the text content with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (string) : (string) New text content   Returns: (LabelUpdater) Self-reference for method chaining method textColor(this, value)   Sets the text color with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (color) : (color) New text color   Returns: (LabelUpdater) Self-reference for method chaining method textSize(this, value)   Sets the text size with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (string) : (string) New text size   Returns: (LabelUpdater) Self-reference for method chaining method bgColor(this, value)   Sets the background color with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (color) : (color) New background color   Returns: (LabelUpdater) Self-reference for method chaining method style(this, value)   Sets the label style with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (string) : (string) New style   Returns: (LabelUpdater) Self-reference for method chaining method yloc(this, value)   Sets the Y location mode with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (string) : (string) New yloc   Returns: (LabelUpdater) Self-reference for method chaining method xloc(this, value)   Sets the X location mode with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (string) : (string) New xloc   Returns: (LabelUpdater) Self-reference for method chaining method tooltip(this, value)   Sets the tooltip content with change tracking (fluent interface)   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (string) : (string) New tooltip content   Returns: (LabelUpdater) Self-reference for method chaining method size(this, value)   Sets the text size with change tracking (fluent interface) - alias for textSize   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance      value (string) : (string) New text size   Returns: (LabelUpdater) Self-reference for method chaining method size(this)   Gets the count of registered labels   Namespace types: LabelManager   Parameters:      this (LabelManager) : (LabelManager) The LabelManager instance   Returns: (int) Number of labels in the registry method apply(this)   Applies pending changes to linked label and updates tracking   Namespace types: LabelUpdater   Parameters:      this (LabelUpdater) : (LabelUpdater) The LabelUpdater instance   Returns: (LabelUpdater) Self-reference for method chaining method get(this, name)   Gets or creates a LabelUpdater for the specified name   Namespace types: LabelManager   Parameters:      this (LabelManager) : (LabelManager) The LabelManager instance      name (string) : (string) Unique identifier for the label   Returns: (LabelUpdater) Existing or newly created LabelUpdater for the name method has(this, name)   Checks if a label with the specified name exists   Namespace types: LabelManager   Parameters:      this (LabelManager) : (LabelManager) The LabelManager instance      name (string) : (string) Name to check for existence   Returns: (bool) True if label exists, false otherwise method remove(this, name)   Removes a label from the registry and deletes the underlying Pine Script label   Namespace types: LabelManager   Parameters:      this (LabelManager) : (LabelManager) The LabelManager instance      name (string) : (string) Name of the label to remove   Returns: (LabelManager) Self-reference for method chaining method clear(this)   Removes all labels from registry and deletes all underlying Pine Script labels   Namespace types: LabelManager   Parameters:      this (LabelManager) : (LabelManager) The LabelManager instance   Returns: (LabelManager) Self-reference for method chaining newManager()   Creates a new LabelManager with empty registry   Returns: (LabelManager) New LabelManager instance ready for use LabelConfig   LabelConfig Configuration object for label appearance and positioning   Fields:      x (series int) : (series int) X-coordinate (na = unchanged)      y (series float) : (series float) Y-coordinate (na = unchanged)      style (series string) : (series string) Label style (na = unchanged)      yloc (series string) : (series string) Y-location type (na = unchanged)      xloc (series string) : (series string) X-location type (na = unchanged)      bgColor (series color) : (series color) Background color (na = unchanged)      textValue (series string) : (series string) Label text content (na = unchanged)      textSize (series string) : (series string) Text size (na = unchanged)      textColor (series color) : (series color) Text color (na = unchanged)      tooltip (series string) : (series string) Tooltip text (na = unchanged) LabelUpdater   LabelUpdater Smart label updater with change tracking and minimal updates   Fields:      label (series label) : (label) Reference to the label being updated      latest (LabelConfig) : (LabelConfig) Current known state of the label      updates (LabelConfig) : (LabelConfig) Pending changes to apply LabelManager   LabelManager Central registry for managing named labels with automatic creation   Fields:      registry (map) : (map) Internal storage mapping names to LabelUpdater instances
Libreria Pine Script®
di Electrified
1
Heatmap Trailing Stop with Breakouts (Zeiierman)█ Overview Heatmap Trailing Stop with Breakouts (Zeiierman) is a trend and breakout detection tool that combines dynamic trailing stop logic, Fibonacci-based levels, and a real-time market heatmap into a single, intuitive system. This indicator is designed to help traders visualize pressure zones, manage stop placement, and identify breakout opportunities supported by contextual price–derived heat. Whether you're trailing trends, detecting reversals, or entering on explosive breakouts — this tool keeps you anchored in structure and sentiment. It projects adaptive trailing stop levels and calculates Fibonacci extensions from swing-based extremes. These levels are then colored by a market heatmap engine that tracks price interaction intensity — showing where the market is "hot" and likely to respond. On top of that, it includes breakout signals powered by HTF momentum conditions, trend direction, and heatmap validation — giving you signals only when the context is strong. █ How It Works ⚪ Trailing Stop Engine At its core, the script uses an ATR-based trailing stop with trend detection: ATR Length – Defines volatility smoothing using EMA MA of true range. Multiplier – Expands/retracts the trailing offset depending on market aggression. Real-Time Extremum Tracking – Uses local highs/lows to define Fibonacci anchors. ⚪ Fibonacci Projection + Heatmap With each trend shift, Fibonacci levels are projected from the new swing to the current trailing stop. These include: Fib 61.8, 78.6, 88.6, and 100% (trailing stop) lines Heatmap Coloring – Each level'slevel's color is determined by how frequently price has interacted with that level in the recent range (defined by ATR). Strength Score (1–10) – The number of touches per level is normalized and averaged to create a heatmap ""score"" displayed as a colored bar on the chart. ⚪ Breakout Signal System This engine detects high-confidence breakout signals using a higher timeframe candle structure: Bullish Breakout – Strong bullish candle + momentum + trend confirmation + heatmap score threshold. Bearish Breakout – Strong bearish candle + momentum + trend confirmation + heatmap score threshold. Cooldown Logic – Prevents signals from clustering too frequently during volatile periods. █ How to Use ⚪ Trend Following & Trail Stops Use the Trailing Stop line to manage positions or time entries in line with trend direction. Trailing stop flips are highlighted with dot markers. ⚪ Fibonacci Heat Zones The projected Fibonacci levels serve as price magnets or support/resistance zones. Watch how price reacts at Fib 61.8/78.6/88.6 levels — especially when they're glowing with high heatmap scores (more glow = more historical touches = stronger significance). ⚪ Breakout Signals Enable breakout signals when you want to trade breakouts only under strong context. Use the "Heatmap Strength Threshold" to require a minimum score (1–10). █ Settings Stop Distance ATR Length – ATR period for volatility smoothing Stop Distance Multiplier – Adjusts the trailing stop'sstop's distance from price Heatmap Range ATR Length – Defines how far back the heatmap scans for touches Number of Heat Levels – Total levels used in the heatmap (more = finer resolution) Minimum Touches per Level – Defines what counts as a ""hot"" level Heatmap Strength Threshold – Minimum average heat score (1–10) required for breakouts Timeframe – HTF source used to evaluate breakout momentum structure ----------------- Disclaimer The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information. All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
Indicatore Pine Script®
di Zeiierman
15
MTF Pivot Fib Speed Resistance FansOverview This Pine Script indicator, titled "MTF Pivot Fib Speed Resistance Fans", is a multi-timeframe tool that automatically plots Fib Speed Resistance Fan lines based on pivot structures derived from higher timeframes. It mirrors the functionality of TradingView’s built-in “Fib Speed Resistance Fan” drawing tool, but in a dynamic, programmatic way. It uses pivot highs and lows to anchor fan projections, drawing forward-facing trend lines that align with well-known Fibonacci ratios and their extensions. Pivot Detection Logic The script identifies pivots by comparing the current bar’s high and low against the highest and lowest prices over a user-defined pivot period. This pivot detection occurs on a higher timeframe of your choice, giving a broader and more strategic view of price structure. The script tracks direction changes in the pivot trend and stores only the most recent few pivots to maintain clean and meaningful fan drawings. Fan Direction Control The user can select whether to draw fans for "Buys", "Sells", or "Both". The script only draws fan lines when a new directional move is detected based on the pivot structure and the selected bias. For example, in “Buys” mode, a rising pivot followed by another higher low will trigger upward fan projections. Fib Speed Resistance Levels Once two pivots are identified, the script draws multiple fan lines from the first pivot outward, at angles defined by a preset list of Fibonacci levels. These fan lines help visualize speed and strength of a price move. The script also draws a horizontal line from the pivot for additional confluence at the base level (1.0). Price Level Plotting In addition to drawing fan lines, the indicator also plots their price levels on the right-hand price scale. This makes it easier for users to visually reference the projected support and resistance levels without needing to trace the lines manually across the chart. Mapping to TradingView’s "Fib Speed Resistance Fan" The expanded set of values used in this script is not arbitrary—they closely align with the default and extended levels available in TradingView's built-in "Fib Speed Resistance Fan" tool. TradingView’s Fib Fan tool offers several levels by default, including traditional Fibonacci ratios like 0.382, 0.5, 0.618, and 1. However, if you right-click the tool and open its settings, you’ll find additional toggles for levels like 1.618, 2.000, 2.618, and even 4.000. These deeper levels are used to project stronger trend continuations beyond the standard retracement zones. The inclusion of levels such as 0.25, 0.75, and 1.34 reflects configurations that are available when you manually add or customize levels in TradingView’s fan tool. While 1.34 is not a canonical Fibonacci ratio, it is often found in hybrid Gann/Fib methods and is included in some preset templates in TradingView’s drawing tool for advanced users. By incorporating these levels directly into the Pine Script, the indicator faithfully reproduces the fan structure users would manually draw using TradingView’s graphical Fib Fan tool—but does so programmatically, dynamically, and with multi-timeframe control. This eliminates manual errors, allows for responsive updating, and adds custom visual tracking via the price scale. These values are standardized within the context of TradingView's Fib Fan tool and not made up. This script automates what the manual drawing tool achieves, with added precision and flexibility.
Indicatore Pine Script®
di gggoaaat
1
Options Volatility Strategy Analyzer [TradeDots]The Options Volatility Strategy Analyzer is a specialized tool designed to help traders assess market conditions through a detailed examination of historical volatility, market benchmarks, and percentile-based thresholds. By integrating multiple volatility metrics (including VIX and VIX9D) with color-coded regime detection, the script provides users with clear, actionable insights for selecting appropriate options strategies. 📝 HOW IT WORKS 1. Historical Volatility & Percentile Calculations Annualized Historical Volatility (HV): The script automatically computes the asset’s historical volatility using log returns over a user-defined period. It then annualizes these values based on the chart’s timeframe, helping you understand the asset’s typical volatility profile. Dynamic Percentile Ranks: To gauge where the current volatility level stands relative to past behavior, historical volatility values are compared against short, medium, and long lookback periods. Tracking these percentile ranks allows you to quickly see if volatility is high or low compared to historical norms. 2. Multi-Market Benchmark Comparison VIX and VIX9D Integration: The script tracks market volatility through the VIX and VIX9D indices, comparing them to the asset’s historical volatility. This reveals whether the asset’s volatility is outpacing, lagging, or remaining in sync with broader market volatility conditions. Market Context Analysis: A built-in term-structure check can detect market stress or relative calm by measuring how VIX compares to shorter-dated volatility (VIX9D). This helps you decide if the present environment is risk-prone or relatively stable. 3. Volatility Regime Detection Color-Coded Background: The analyzer assigns a volatility regime (e.g., “High Asset Vol,” “Low Asset Vol,” “Outpacing Market,” etc.) based on current historical volatility percentile levels and asset vs. market ratios. A color-coded background highlights the regime, enabling traders to quickly interpret the market’s mood. Alerts on Regime Changes & Spikes: Automated alerts warn you about any significant expansions or contractions in volatility, allowing you to react swiftly in changing conditions. 4. Strategy Forecast Table Real-Time Strategy Suggestions: At the close of each bar, an on-chart table generates suggested options strategies (e.g., selling premium in high volatility or buying premium in low volatility). These suggestions provide a quick summary of potential tactics suited to the current regime. Contextual Market Data: The table also displays key statistics, such as VIX levels, asset historical volatility percentile, or ratio comparisons, helping you confirm whether volatility conditions warrant more conservative or more aggressive strategies. 🛠️ HOW TO USE 1. Select Your Timeframe: The script supports multiple timeframes. For short-term trading, intraday charts often reveal faster shifts in volatility. For swing or position trading, daily or weekly charts may be more stable and produce fewer false signals. 2. Check the Volatility Regime: Observe the background color and on-chart labels to identify the current regime (e.g., “HIGH ASSET VOL,” “LOW VOL + LAGGING,” etc.). 3. Review the Forecast Table: The table suggests strategy ideas (e.g., iron condors, long straddles, ratio spreads) depending on whether volatility is elevated, subdued, or spiking. Use these as a starting point for designing trades that match your risk tolerance. 4. Combine with Additional Analysis: For optimal results, confirm signals with your broader trading plan, technical tools (moving averages, price action), and fundamental research. This script is most effective when viewed as one component in a comprehensive decision-making process. ❗️LIMITATIONS Directional Neutrality: This indicator analyzes volatility environments but does not predict price direction (up/down). Traders must combine with directional analysis for complete strategy selection. Late or Missed Signals: Since all calculations require a bar to close, sharp intrabar volatility moves may not appear in real-time. False Positives in Choppy Markets: Rapid changes in percentile ranks or VIX movements can generate conflicting or premature regime shifts. Data Sensitivity: Accuracy depends on the availability and stability of volatility data. Significant gaps or unusual market conditions may skew results. Market Correlation Assumptions: The system assumes assets generally correlate with S&P 500 volatility patterns. May be less effective for: Small-cap stocks with unique volatility drivers International stocks with different market dynamics Sector-specific events disconnected from broad market Cryptocurrency-related assets with independent volatility patterns RISK DISCLAIMER Options trading involves substantial risk and is not suitable for all investors. Options strategies can result in significant losses, including the total loss of premium paid. The complexity of options strategies requires thorough understanding of the risks involved. This indicator provides volatility analysis for educational and informational purposes only and should not be considered as investment advice. Past volatility patterns do not guarantee future performance. Market conditions can change rapidly, and volatility regimes may shift without warning. No trading system can guarantee profits, and all trading involves the risk of loss. The indicator's regime classifications and strategy suggestions should be used as part of a comprehensive trading plan that includes proper risk management, directional analysis, and consideration of broader market conditions.
Indicatore Pine Script®
di tradedots
PLR-Z For Loop🧠 Overview PLR-Z For Loop is a trend-following indicator built on the Power Law Residual Z-score model of Bitcoin price behavior. By measuring how far price deviates from a long-term power law regression and applying a custom scoring loop, this tool identifies consistent directional pressure in market structure. Designed for BTC, this indicator helps traders align with macro trends. 🧩 Key Features Power Law Residual Model: Tracks deviations of BTC price from its long-term logarithmic growth curve. Z-Score Normalization: Applies long-horizon statistical normalization (400/1460 bars) to smooth residual deviations into a usable trend signal. Loop-Based Trend Filter: Iteratively scores how often the current Z-score exceeds prior values, emphasizing trend persistence over volatility. Optional Smoothing: Toggleable exponential smoothing helps filter noise in choppier market conditions. Directional Regime Coloring: Aqua (bullish) and Red (bearish) visuals reinforce trend alignment across plots and candles. 🔍 How It Works Power Law Curve: Price is compared against a logarithmic regression model fitted to historical BTC price evolution (starting July 2010), defining structural support, resistance, and centerline levels. Residual Z-Score: The residual is calculated as the log-difference between price and the power law center. This residual is then normalized using a rolling mean (400 days) and standard deviation (1460 days) to create a long-term Z-score. Loop Scoring Logic: A loop compares the current Z-score to a configurable number of past bars. Each higher comparison adds +1, and each lower one subtracts -1. The result is a trend persistence score (z_loop) that grows with consistent directional momentum. Smoothing Option: A user-defined EMA smooths the score, if enabled, to reduce short-term signal noise. Signal Logic: Long signal when trend score exceeds long_threshold. Short signal when score drops below short_threshold. Directional State (CD): Internally manages the current market regime (1 = long, -1 = short), controlling all visual output. 🔁 Use Cases & Applications Macro Trend Alignment: Ideal for traders and analysts tracking Bitcoin’s structural momentum over long timeframes. Trend Persistence Filter: Helps confirm whether the current move is part of a sustained trend or short-lived volatility. Best Suited for BTC: Built specifically on the BNC BLX price history and Bitcoin’s power law behavior. Not designed for use with other assets. ✅ Conclusion PLR-Z For Loop reframes Bitcoin’s long-term power law model into a trend-following tool by scoring the persistence of deviations above or below fair value. It shifts the focus from valuation-based mean reversion to directional momentum, making it a valuable signal for traders seeking high-conviction participation in BTC’s broader market cycles. ⚠️ Disclaimer The content provided by this indicator is for educational and informational purposes only. Nothing herein constitutes financial or investment advice. Trading and investing involve risk, including the potential loss of capital. Always backtest and apply risk management suited to your strategy.
Indicatore Pine Script®
di CipherDecoded
magic wand STSM"Magic Wand STSM" Strategy: Trend-Following with Dynamic Risk Management Overview: The "Magic Wand STSM" (Supertrend & SMA Momentum) is an automated trading strategy designed to identify and capitalize on sustained trends in the market. It combines a multi-timeframe Supertrend for trend direction and potential reversal signals, along with a 200-period Simple Moving Average (SMA) for overall market bias. A key feature of this strategy is its dynamic position sizing based on a user-defined risk percentage per trade, and a built-in daily and monthly profit/loss tracking system to manage overall exposure and prevent overtrading. How it Works (Underlying Concepts): Multi-Timeframe Trend Confirmation (Supertrend): The strategy uses two Supertrend indicators: one on the current chart timeframe and another on a higher timeframe (e.g., if your chart is 5-minute, the higher timeframe Supertrend might be 15-minute). Trend Identification: The Supertrend's direction output is crucial. A negative direction indicates a bearish trend (price below Supertrend), while a positive direction indicates a bullish trend (price above Supertrend). Confirmation: A core principle is that trades are only considered when the Supertrend on both the current and the higher timeframe align in the same direction. This helps to filter out noise and focus on stronger, more confirmed trends. For example, for a long trade, both Supertrends must be indicating a bearish trend (price below Supertrend line, implying an uptrend context where price is expected to stay above/rebound from Supertrend). Similarly, for short trades, both must be indicating a bullish trend (price above Supertrend line, implying a downtrend context where price is expected to stay below/retest Supertrend). Trend "Readiness": The strategy specifically looks for situations where the Supertrend has been stable for a few bars (checking barssince the last direction change). Long-Term Market Bias (200 SMA): A 200-period Simple Moving Average is plotted on the chart. Filter: For long trades, the price must be above the 200 SMA, confirming an overall bullish bias. For short trades, the price must be below the 200 SMA, confirming an overall bearish bias. This acts as a macro filter, ensuring trades are taken in alignment with the broader market direction. "Lowest/Highest Value" Pullback Entries: The strategy employs custom functions (LowestValueAndBar, HighestValueAndBar) to identify specific price action within the recent trend: For Long Entries: It looks for a "buy ready" condition where the price has found a recent lowest point within a specific number of bars since the Supertrend turned bearish (indicating an uptrend). This suggests a potential pullback or consolidation before continuation. The entry trigger is a close above the open of this identified lowest bar, and also above the current bar's open. For Short Entries: It looks for a "sell ready" condition where the price has found a recent highest point within a specific number of bars since the Supertrend turned bullish (indicating a downtrend). This suggests a potential rally or consolidation before continuation downwards. The entry trigger is a close below the open of this identified highest bar, and also below the current bar's open. Candle Confirmation: The strategy also incorporates a check on the candle type at the "lowest/highest value" bar (e.g., closevalue_b < openvalue_b for buy signals, meaning a bearish candle at the low, suggesting a potential reversal before a buy). Risk Management and Position Sizing: Dynamic Lot Sizing: The lotsvalue function calculates the appropriate position size based on your Your Equity input, the Risk to Reward ratio, and your risk percentage for your balance % input. This ensures that the capital risked per trade remains consistent as a percentage of your equity, regardless of the instrument's volatility or price. The stop loss distance is directly used in this calculation. Fixed Risk Reward: All trades are entered with a predefined Risk to Reward ratio (default 2.0). This means for every unit of risk (stop loss distance), the target profit is rr times that distance. Daily and Monthly Performance Monitoring: The strategy tracks todaysWins, todaysLosses, and res (daily net result) in real-time. A "daily profit target" is implemented (day_profit): If the daily net result is very favorable (e.g., res >= 4 with todaysLosses >= 2 or todaysWins + todaysLosses >= 8), the strategy may temporarily halt trading for the remainder of the session to "lock in" profits and prevent overtrading during volatile periods. A "monthly stop-out" (monthly_trade) is implemented: If the lres (overall net result from all closed trades) falls below a certain threshold (e.g., -12), the strategy will stop trading for a set period (one week in this case) to protect capital during prolonged drawdowns. Trade Execution: Entry Triggers: Trades are entered when all buy/sell conditions (Supertrend alignment, SMA filter, "buy/sell situation" candle confirmation, and risk management checks) are met, and there are no open positions. Stop Loss and Take Profit: Stop Loss: The stop loss is dynamically placed at the upTrendValue for long trades and downTrendValue for short trades. These values are derived from the Supertrend indicator, which naturally adjusts to market volatility. Take Profit: The take profit is calculated based on the entry price, the stop loss, and the Risk to Reward ratio (rr). Position Locks: lock_long and lock_short variables prevent immediate re-entry into the same direction once a trade is initiated, or after a trend reversal based on Supertrend changes. Visual Elements: The 200 SMA is plotted in yellow. Entry, Stop Loss, and Take Profit lines are plotted in white, red, and green respectively when a trade is active, with shaded areas between them to visually represent risk and reward. Diamond shapes are plotted at the bottom of the chart (green for potential buy signals, red for potential sell signals) to visually indicate when the buy_sit or sell_sit conditions are met, along with other key filters. A comprehensive trade statistics table is displayed on the chart, showing daily wins/losses, daily profit, total deals, and overall profit/loss. A background color indicates the active trading session. Ideal Usage: This strategy is best applied to instruments with clear trends and sufficient liquidity. Users should carefully adjust the Your Equity, Risk to Reward, and risk percentage inputs to align with their individual risk tolerance and capital. Experimentation with different ATR Length and Factor values for the Supertrend might be beneficial depending on the asset and timeframe.
Strategia Pine Script®
di hassansadeghirashed
2
Information Asymmetry Gradient (IAG) What is the Information Asymmetry Gradient (IAG)? The Information Asymmetry Gradient (IAG) is a unique market regime and imbalance detector that quantifies the subtle, directional “information flow” in price and volume. Inspired by information theory and market microstructure, IAG is designed to help traders spot the early buildup of conviction or surprise—the kind of hidden imbalance that often precedes major price moves. Unlike traditional volume or momentum indicators, IAG focuses on the efficiency and directionality of information transfer: how much “informational energy” is being revealed by up-moves versus down-moves, normalized by price movement. It’s not just about net flow, but about the quality and asymmetry of that flow. Theoretical Foundation Information Asymmetry: Markets move when new information is revealed. If one side (buyers or sellers) is consistently more “informationally efficient” per unit of price change, an imbalance is building—even if price hasn’t moved much yet. Gradient: By tracking the rate of change (gradient) between fast and slow information flows, IAG highlights when a subtle imbalance is accelerating. Volatility of Asymmetry: Sudden spikes in the volatility of information asymmetry often signal regime uncertainty or the approach of a “surprise” move. How IAG Works Directional Information Content: For each bar, IAG estimates the “information per unit of price change” for both up-moves and down-moves, using volume and price action. Asymmetry Calculation: Computes the difference (or ratio) between up and down information content, revealing directional bias. Gradient Detection: Calculates both a fast and slow EMA of the asymmetry, then measures their difference (the “gradient”), normalized as a Z-score. Volatility of Asymmetry: Tracks the standard deviation of asymmetry over a rolling window, with Z-score normalization to spot “information shocks.” Flow Strength: Quantifies the conviction of the current information flow on a 0–100 scale. Regime Detection: Flags “extreme” asymmetry, “building” flow, and “high volatility” states. Inputs: 🌌 Core Asymmetry Parameters Fast Information Period (short_len, default 8): EMA period for detecting immediate information flow changes. 5–8: Scalping (1–5min) 8–12: Day trading (15min–1hr) 12–20: Swing trading (4hr+) Slow Information Period (long_len, default 34): EMA period for baseline information context. Should be 3–5x fast period. Default (34): Fibonacci number, stable for most assets. Gradient Smoothing (gradient_smooth, default 3): Smooths the gradient calculation. 1–2: Raw, responsive 3–5: Balanced 6–10: Very smooth 📊 Asymmetry Method Calculation Mode (calc_mode, default "Weighted"): “Simple”: Basic volume split by direction “Weighted”: Volume × price movement (default, most robust) “Logarithmic”: Log-scaled for large moves Use Ratio (show_ratio, default false): “Difference”: UpInfo – DownInfo (additive) “Ratio”: UpInfo / DownInfo (multiplicative, better for comparing volatility regimes) 🌊 Volatility Analysis Volatility Window (stdev_len, default 21): Lookback for measuring asymmetry volatility. Volatility Alert Level (vol_threshold, default 1.5): Z-score threshold for volatility alerts. 🎨 Visual Settings Color Theme (color_theme, default "Starry Night"): Van Gogh-inspired palettes: “Starry Night”: Deep blues and yellows “Sunflowers”: Warm yellows and browns “Café Terrace”: Night blues and warm lights “Wheat Field”: Golden and sky blue Show Swirl Effects (show_swirls, default true): Adds swirling background to visualize information turbulence. Show Signal Stars (show_stars, default true): Star markers at significant asymmetry points. Show Info Dashboard (show_dashboard, default true): Top-right panel with current metrics and market state. Show Flow Visualization (show_flow, default true): Main gradient line with artistic effects. Color Schemes Dynamic color gradients adapt to both the direction and intensity of the information gradient, using Van Gogh-inspired palettes for visual clarity and artistic flair. Glow and aura effects: The main line is layered with glows for depth and to highlight strong signals. Swirl background: Visualizes the “turbulence” of information flow, darker and more intense as flow strength and volatility rise. Visual Logic Main Gradient Line: Plots the normalized information gradient (Z-score), color-coded by direction and intensity. Glow/Aura: Multiple layers for visual depth and to highlight strong signals. Threshold Zones: Dotted lines and filled areas mark “Building” and “Extreme” asymmetry zones. Volatility Ribbon: Area plot of volatility Z-score, highlighting information shocks. Signal Stars: Circular markers at each “Extreme” event, color-coded for bullish/bearish; cross markers for volatility spikes. Dashboard: Top-right panel shows current status (Extreme, Building, High Volatility, Balanced), gradient value, flow strength, information balance, and volatility status. Trading Guide: Bottom-left panel explains all states and how to interpret them. How to Use IAG 🌟 EXTREME: Major information imbalance—potential for explosive move or reversal. 🌙 BUILDING: Asymmetry is forming—watch for a breakout or trend acceleration. 🌪️ HIGH VOLATILITY: Information flow is unstable—expect regime uncertainty or “surprise” moves. ☁️ BALANCED: No clear bias—market is in equilibrium. Positive Gradient: Bullish information flow (buyers have the edge). Negative Gradient: Bearish information flow (sellers have the edge). Flow >66%: Strong conviction—crowd is acting in unison. Volatility Spike: Regime uncertainty—be alert for sudden moves. Tips: - Use lower periods for scalping, higher for swing trading. - “Weighted” mode is most robust for most assets. - Combine with price action or your own system for confirmation. - Works on all assets and timeframes—tune to your style. Alerts IAG Extreme Asymmetry: Extreme information asymmetry detected. IAG Building Flow: Information flow building. IAG High Volatility: Information volatility spike. IAG Bullish/Bearish Extreme: Directional extreme detected. Originality & Usefulness IAG is not a mashup of existing indicators. It is a novel approach to quantifying the “surprise” or “conviction” element in market moves, focusing on the efficiency and directionality of information transfer per unit of price change. The multi-layered color logic, artistic visual effects, and regime dashboard are unique to this script. IAG is designed for anticipation, not confirmation—helping you see subtle imbalances before they become obvious in price. Chart Info Script Name: Information Asymmetry Gradient (IAG) – Starry Night Recommended Use: Any asset, any timeframe. Tune parameters to your style. Disclaimer This script is for research and educational purposes only. It does not provide financial advice or direct buy/sell signals. Always use proper risk management and combine with your own strategy. Past performance is not indicative of future results. Trade with insight. Trade with anticipation. — Dskyz , for DAFE Trading Systems
Indicatore Pine Script®
di DskyzInvestments
3
Hull-Exponential Moving Average (HEMA)The Hull Exponential Moving Average (HEMA) is an experimental technical indicator that uses a sequence of Exponential Moving Averages (EMAs) with the same logic as HMA - except with EMAs and not WMAs. It aims to create a responsive yet smooth trend indicator than HMA. HEMA applies a multi-stage EMA process. Initial EMAs are calculated using alphas derived from logarithmic relationships and the input period. Their outputs are then combined in a de-lagging step, which itself uses a logarithmically derived ratio. A final EMA smoothing pass is then applied to this de-lagged series. This creates a moving average that responds quickly to genuine price changes while maintaining effective noise filtering. The specific alpha calculations and the de-lagging formula contribute to its balance between responsiveness and smoothness. ▶️ **Core Concepts** Logarithmically-derived alphas: Alpha values for the three EMA stages are derived using natural logarithms and specific formulas related to the input period **N**. Three-stage EMA process: The calculation involves: An initial EMA (using **αS**) on the source data. A second EMA (using **αF**) also on the source data. A de-lagging step that combines the outputs of the first two EMAs using a specific ratio **r**. A final EMA (using **αFin**) applied to the de-lagged series. Specific de-lagging formula: Utilizes a constant ratio **r = ln(2.0) / (1.0 + ln(2.0))** to combine the outputs of the first two EMAs, aiming to reduce lag. Optimized final smoothing: The alpha for the final EMA (**αFin**) is calculated based on the square root of the period **N**. Warmup compensation: The internal EMA calculations include a warmup mechanism to provide more accurate values from the initial bars. This involves tracking decay factors (**eS**, **eF**, **eFin**) and applying a compensation factor **1.0 / (1.0 - e_decay)** during the warmup period. A shared warmup duration is determined by the smallest alpha among the three stages. HEMA achieves its characteristics through this multi-stage EMA process, where the specific alpha calculations and the de-lagging step are key to its responsiveness and smoothness. ▶️ **Common Settings and Parameters** Period (**N**): Default: 10 | Base lookback period for all alpha calculations | When to Adjust: Increase for longer-term trends and more smoothness, decrease for shorter-term signals and more responsiveness Source: Default: Close | Data point used for calculation | When to Adjust: Change to HL2, HLC3, or OHLC4 for different price representations Pro Tip: The HEMA's behavior is sensitive to the **Period** setting due to the non-linear relationships in its alpha calculations. Experiment with values around your typical MA periods. Small changes in **N** can have a noticeable impact, especially for smaller **N** values. ▶️ **Calculation and Mathematical Foundation** Simplified explanation: HEMA calculates its value through a sequence of three Exponential Moving Averages (EMAs) with specially derived smoothing factors (alphas). Two initial EMAs are calculated from the source price, using alphas **αS** and **αF**. The outputs of these two EMAs are combined into a "de-lagged" series. This de-lagged series is then smoothed by a third EMA, using alpha **αFin**, to produce the final HEMA value. All internal EMAs use a warmup compensation mechanism for improved accuracy on early bars. Technical formula (let **N** be the input period): 1. Alpha for the first EMA (slow component related): αS = 3.0 / (2.0 * N - 1.0) 2. Lambda for **αS** (intermediate value): λS = -ln(1.0 - αS) Note: **αS** must be less than 1, which implies 2N-1 > 3 or N > 2 for **λS** to be well-defined without NaN from ln of non-positive number. The code uses nz() for robustness but the formula implies this constraint. 3. De-lagging ratio **r**: r = ln(2.0) / (1.0 + ln(2.0)) (This is a constant, approximately 0.409365) 4. Alpha for the second EMA (fast component related): αF = 1.0 - exp(-λS / r) 5. Alpha for the final EMA smoothing: αFin = 2.0 / (sqrt(N) / 2.0 + 1.0) 6. Applying the stages: **OutputS = EMA_internal(source, αS, eS_state, emaS_state)** **OutputF = EMA_internal(source, αF, eF_state, emaF_state)** 8. Calculate the de-lagged series: DeLag = (OutputF / (1.0 - r)) - (r * OutputS / (1.0 - r)) 9. Calculate the final HEMA: HEMA = EMA_internal(DeLag, αFin, eFin_state, emaFin_state) 🔍 Technical Note: The HEMA implementation uses a shared warmup period controlled by **aMin** (the minimum of **αS**, **αF**, **αFin**). During this period, each internal EMA stage still tracks its own decay factor (**eS**, **eF**, **eFin**) to apply the correct compensation. The **nz()** function is used in the code to handle potential NaN values from alpha calculations if **N** is very small (e.g., **N=1** would make **αS=3**, **1-αS = -2**, **ln(-2)** is NaN). ▶️ **Interpretation Details** HEMA provides several key insights for traders: When price crosses above HEMA, it often signals the beginning of an uptrend When price crosses below HEMA, it often signals the beginning of a downtrend The slope of HEMA provides insight into trend strength and momentum HEMA creates smooth dynamic support and resistance levels during trends Multiple HEMA lines with different periods can identify potential reversal zones HEMA is particularly effective for trend following strategies where both responsiveness and noise reduction are important. It provides earlier signals than traditional EMAs while exhibiting less whipsaw than standard HMA in choppy market conditions. The indicator excels at identifying the underlying trend direction while filtering out minor price fluctuations. ▶️ **Limitations and Considerations** Experimental nature: As an experimental indicator, HEMA may behave differently from established HMA in certain market conditions Lag characteristics: While designed to reduce lag, HEMA may exhibit slightly more lag than HMA in some scenarios due to the long tail of EMA Mathematical complexity: The multi-stage calculation with specialized alpha parameters makes the behavior less intuitive to understand Parameter sensitivity: Performance can vary significantly with different period settings Complementary tools: Works best when combined with volume analysis or momentum indicators for confirmation ▶️ **References** Hull, A. (2005). "Hull Moving Average," Technical Analysis of Stocks & Commodities . RetryClaude can make mistakes. Please double-check responses.
Indicatore Pine Script®
di mihakralj
10 Monday's 1H Avg Range + 30-Day Daily RangeWhat This Script Does This indicator is designed for traders who want to monitor volatility and range behavior at the start of the trading week . It focuses specifically on the first four 15-minute candles of each Monday and tracks their combined high-low range over time. How It Works Monday 1H Range Detection: Each week, it automatically detects and highlights the first 4 candles of Monday on a 15-minute chart (1 hour total). It calculates the range between the highest high and lowest low of these candles. 10-Week Average of Monday 1H Ranges: It stores and averages the last 10 such ranges, displaying this average in a table for weekly comparison. 30-Day Daily Range Average: Separately, it calculates the average daily range (high – low) of the last 30 daily candles. This value helps put the Monday 1H range into broader context and can guide Stop Loss or TP planning. Dynamic Labeling & Visual Highlights: The script visually highlights the first 4 candles of Monday and places a label showing the pip range once the 4 candles have completed. It also updates a small table with the two averages described above. How to Use It Use it on the 15-minute timeframe to activate the Monday 1H logic. Compare the current week’s Monday range to the 10-week average to see if volatility is increasing or decreasing. Use the 30-day daily range to determine if the Monday opening movement is unusually large or small. Consider adjusting trade entries, stops, or targets if the Monday range is disproportionately large compared to recent historical behavior. What Makes It Original? This is not a typical volatility indicator like ATR or standard deviation. Instead, it’s a purpose-built tool combining: Time-specific behavior (first hour of the week), Historical contextualization (10-week average tracking), A dual-timeframe analysis (15-min + daily), A user-friendly table and visual interface. This script helps intraday or swing traders spot abnormal volatility early in the week and adjust their strategies accordingly—especially in fast-moving Forex or Index markets.
Indicatore Pine Script®
di bramirez37
(DAFE) DEVMA - Crossover (Deviation Moving Average) (DAFE) DEVMA - Crossover (Deviation Moving Average) Let’s keep pushing the edge. After the breakthrough of Deviation over Deviation (DoD)—which gave traders a true lens into volatility’s hidden regime shifts—many asked: “What’s next?” The answer is DEVMA: a crossover engine built not on price, but on the heartbeat of the market itself. Why is this different? DEVMA isn’t just a moving average crossover. It’s a regime detector that tracks the expansion and contraction of deviation—giving you a real-time readout of when the market’s energy is about to shift. This is the next step for anyone who wants to anticipate volatility, not just react to it. What sets DEVMA apart: Volatility-First Logic:Both fast and slow lines are moving averages of deviation, not price. You’re tracking the market’s “energy,” not just its direction. This is the quant edge that most scripts miss. Regime-Colored Lines: The fast and slow DEVMA lines change color in real time—green/aqua for expansion, maroon/orange for contraction—so you can see regime shifts at a glance. Quant-Pro Visuals: Subtle glow, clean cross markers, and a minimalist dashboard keep your focus on what matters: the regime, not the noise. Static Regime Thresholds: Reference lines at 1.5 and 0.5 (custom colors) give you instant context for “normal” vs. “extreme” volatility states. No Price Chasing: This isn’t about following price. It’s about anticipating the next volatility regime—before the crowd even knows what’s coming. How this builds on DoD: DoD showed you when volatility itself was about to change. DEVMA takes that insight and turns it into a crossover engine—so you can see, filter, and act on regime shifts in real time. If DoD was the radar, DEVMA is the navigation system. Inputs/Signals—explained for clarity: Deviation Lookback: Controls the sensitivity of the regime detector. Shorter = more signals, longer = only the rarest events. Fast/Slow DEVMA Lengths: Fine-tune how quickly the regime lines react. Fast for scalping, slow for swing trading. Source Selection: Choose from price, volume, volatility, or VoVix. Each source gives you a different lens on market stress. VoVix is for those who want to see the “regime quake” before the aftershocks. VoVix Parameters: Fine-tune the volatility-of-volatility engine for your market. Lower ATR Fast = more responsive; higher ATR Slow = more selective. Bottom line: DEVMA is for those who want to see the market’s heartbeat, not just its shadow. Use it to filter your trades, time your entries, or simply understand the market’s true rhythm. Every input is there for a reason. Every plot is a direct readout of the quant logic. Use with discipline, and make it your own. Disclaimer: Trading is risky. This script is for research and informational purposes only, not financial advice. Backtest, paper trade, and know your risk before going live. Past performance is not a guarantee of future results. *Updated the Dashboard/Metrics Display for better visibility Use with discipline. Trade your edge. — Dskyz, for DAFE Trading Systems
Indicatore Pine Script®
di DskyzInvestments
Max Trend Points [BigBeluga]🔵 OVERVIEW A clean and powerful tool for identifying major trend shifts and quantifying the strength of each move using dynamically calculated price extremes. This indicator helps traders visualize the most significant trend changes by plotting trend direction lines and dynamically tracking the highest or lowest point within each trend leg. It’s ideal for identifying key price impulses and measuring their magnitude in real time. 🔵 CONCEPTS Uses an adaptive trend-following logic based on volatility envelopes created from HMA of the price range (high - low). Identifies trend direction and flips when price breaks above or below these dynamic envelopes. Tracks swing highs and lows within the current trend leg to highlight trend extremes. Calculates and displays the percentage gain or drop from trend start to trend peak/valley. 🔵 FEATURES Trend Shift Detection: Plots a colored trend line (uptrend or downtrend) that updates based on price action volatility. Impulse Mapping: Draws a dashed line between the point of trend change (close) and the current trend leg's extreme (highest high or lowest low). Percentage Labeling: Displays a floating label showing the exact percent change from the trend start to the current extreme. Real-Time Adjustments: As the trend progresses, the extreme point and the percent label update automatically to reflect new highs/lows. 🔵 HOW TO USE Look for the trend color shift and circular marker to identify a new potential trend direction. Use the dashed lines and percent label to evaluate the strength and potential maturity of each move. Combine this tool with support/resistance levels or other indicators to identify confluence zones. Adjust the "Factor" input to make the trend detection more or less sensitive depending on your timeframe. 🔵 CONCLUSION Max Trend Points is an efficient visual indicator for understanding the structure and magnitude of trending moves. It provides essential feedback on how far a trend has traveled, where momentum may be peaking, and when a shift may be underway—all with real-time adaptability and clean presentation.
Indicatore Pine Script®
di BigBeluga
17
Liquidity Sweep Detector – PDH/PDL LevelsPrevious Day High/Low Liquidity Sweep Detector (Intraday Accurate) This indicator tracks the previous day's high and low using intraday data, rather than the daily candle, ensuring precise sweep detection across lower timeframes (15m to 4H). It monitors for liquidity sweeps—moments when price briefly moves above the previous high or below the previous low—and visually marks these events on the chart. Key Features Intraday-accurate PDH/PDL tracking Real-time sweep detection On-chart labels marking sweep events Toggleable table showing sweep status Alert conditions for PDH/PDL sweep triggers Best For Traders who use Smart Money Concepts (SMC), liquidity-based strategies, or look for stop hunts and reversal zones tied to key prior-day levels. Works well across FX, crypto, and indices on 15m, 1H, and 4H charts.
Indicatore Pine Script®
di backtestbay
Reintegration OPR zone 9h30📝 Indicator Description (for TradingView): Name: Reintegration OPR Zone – 9:30 AM EST (UTC-4) Purpose: This indicator is designed for US indices like NAS100, US30, or SPX500. It helps identify potential false breakouts or retests by tracking when the price re-enters the Opening Price Range (OPR) after an initial breakout. 🔍 How it works: At 9:30 AM New York time (UTC-4), the script captures the high and low of the first 15-minute candle (which is key for the US session open). It then draws a horizontal box (rectangle) from the high to the low of that candle. The box extends horizontally for 7 hours (28 candles on a 15-minute chart). The script tracks if price: Breaks above or below the OPR zone Then re-enters the zone (a potential "fakeout" or "retest" signal) No label or text is displayed on the chart (you requested it to be hidden). 🕒 Timeframe: Designed for the 15-minute chart (M15) Assumes New York session open at 9:30 AM EST (UTC-4)
Indicatore Pine Script®
di meheyacine
OpeningRange (Trading_Tix)Purpose: The indicator highlights the high, low, and middle (50%) price levels of a specified session's opening range. These levels can serve as key support and resistance zones for trading strategies. The indicator also offers options to extend these levels beyond the session into later timeframes, making it useful for tracking breakout or trend continuation setups. Key Features: 1. Session Detection: The indicator identifies a specific session period using the user-defined Session Time. It calculates the start time, high, and low prices during this period: rangeTime: Defines the session time range (default: 5:00 PM to 2:59 AM). extendTime: Defines the extended time range where lines/backgrounds can be prolonged. 2. Opening Range Calculation: High (high_val) and Low (low_val)**: Tracks the highest and lowest prices during the session. Middle Line: A midpoint is calculated by averaging high_val and low_val. 3. Visual Elements: Horizontal Lines: Drawn at the high, low, and middle levels. Customizable in width and color. Shaded Background Box: Covers the range between high and low prices. The box’s color and transparency can be adjusted. Line and Box Extension: Optionally extends these elements into the extended time range. 4. Customization: Users have the flexibility to: Toggle visibility of lines, middle line, and background box. Adjust colors, line thickness, and style. Enable or disable the extension of lines and backgrounds into the extended period. How It Works: Initialization: The script initializes variables to store range data (startTime, high_val, low_val) and drawing objects (lines, boxes). It detects whether the current bar falls within the session (inSession) or extended timeframe (inExtend). Plotting: During the session: Deletes previous lines and boxes from prior sessions. Draws new lines at the high, low, and middle levels. Creates a background box covering the range, if enabled. During the extended period: Extends the session lines and box, if the user has opted for extensions. Updates: Continuously adjusts the high/low values and updates the lines as new price data arrives. Use Cases: This indicator can be valuable for traders who: Use the opening range to identify potential breakout zones. Trade based on price consolidation within the range. Want a visual representation of key price levels to plan entries and exits. Would you like help refining this script further or adjusting its settings to match your trading style?
Indicatore Pine Script®
di D_Sedici
Rolling Beta against SPY📈 Pine Script Showcase: Rolling Beta Against SPY Understanding how your favorite stock or ETF moves in relation to a benchmark like the S&P 500 can offer powerful insights into risk and exposure. This script calculates and visualizes the rolling beta of any asset versus the SPY ETF (which tracks the S&P 500). 🧠 What Is Beta? Beta measures the sensitivity of an asset's returns to movements in the broader market. A beta of: - 1.0 means the asset moves in lockstep with SPY, - >1.0 indicates higher volatility than the market, - <1.0 implies lower volatility or possible defensive behavior, - <0 suggests inverse correlation (e.g., hedging instruments). 🧮 How It Works This script computes rolling beta over a user-defined window (default = 60 periods) using classic linear regression math: - Calculates daily returns for both the asset and SPY. - Computes covariance between the two return streams. - Divides by the variance of SPY returns to get beta. ⚙️ Customization You can adjust the window size to control the smoothing: - Shorter windows capture recent volatility changes, - Longer windows give more stable, long-term estimates. 📊 Visual Output The script plots the beta series dynamically, allowing you to observe how your asset’s correlation to SPY evolves over time. This is especially useful in regime-change environments or during major macroeconomic shifts. 💡 Use Cases - Portfolio construction: Understand how your assets co-move with the market. - Risk management: Detect when beta spikes—potentially signaling higher market sensitivity. - Market timing: Use beta shifts to infer changing investor sentiment or market structure. 📌 Pro Tip: Combine this rolling beta with volatility, Sharpe ratio, or correlation tracking for a more robust factor-based analysis. Ready to add a layer of quantitative insight to your chart? Add the script to your watchlist and start analyzing your favorite tickers against SPY today!
Indicatore Pine Script®
di coffee-man
Dskyz (DAFE) Turning Point Indicator - Dskyz (DAFE) Turning Point Indicator — Smart Reversal Signals Inspired by the intelligent logic of a pervious indicator I saw. This script represents a next-generation reversal detection system—completely re-engineered with cutting-edge filters, adaptive logic, and intelligent dashboards. The Dskyz (DAFE) Turning Point Indicator 🧠 What Is It? is designed to identify key market reversal zones with extraordinary accuracy by combining trend direction, volatility confirmation, price action patterns, and smart filtering layers—all visualized in a highly interactive and informative chart overlay. This isn’t just a signal generator—it’s a decision-making assistant. ⚙️ Inputs & How to Use Them All input fields are grouped for ease-of-use and explanation: 🔸 Reversal Logic Settings Source: The price source used for signal generation (default: hlcc4). Can be changed to any standard price formula (open, close, hl2, etc.). ATR Period: Used for determining volatility and dynamic trailing stop logic. Supertrend Factor / Period: Calculates directional movement to detect trending vs choppy zones. Reversal Sensitivity Thresholds: Internal logic filters minor pullbacks from true reversals. 🔸 Filters Trend Filter: Enables trend-only signals (optional). Volume Spike Filter: Confirms reversals with significant volume activity. Volatility Zone Coloring: Visually highlights high-volatility areas to avoid late entries or fakeouts. Custom High/Low Detection: Smart local top/bottom scanning to reinforce accuracy. 🔸 Visual & Dashboard Options Signal Labels: Toggle signal labels on the chart. Color Theme: Choose your visual theme for easier visibility. Dashboard Toggle: Activate a compact dashboard summarizing strategy health (win rate, drawdown, trend state, volatility). 🧩 Functions Used ta.supertrend(): Determines trend direction for signal confirmation and filtering. ta.atr(): Calculates real-time volatility to determine trailing stop exits and visual zones. ta.rsi() (internally optimized): Helps filter overbought/oversold conditions. Local High/Low Scanner: Tracks recent pivots using a custom dynamic lookback. Signal Engine: Consolidates multiple confirmation layers before plotting. 🚀 What Makes It Unique? Unlike traditional reversal indicators, this one combines: Multi-factor signal validation: No single indicator makes the call—volume, trend, price action, and volatility all contribute. Adaptive filtering: The indicator evolves with the market—less noise, smarter signals. Visual volatility heatmap zones: Avoid entering during uncertainty or manipulation spikes. Interactive trend dashboard: Immediate insight into the strength and condition of the current market phase. Highly customizable: Turn features on/off to match your trading style—scalping, swing, or trend-following. Precision timing: Uses optimized versions of RSI and ATR that adjust automatically with price context. 🧬 Recommended for: Commodity: Futures, Forex, Crypto Timeframes: 1m to 1h for active traders. 4h+ for swing trades. Pair With: Support/resistance zones, Fibonacci levels, and smart money concepts for additional confluence. 🎯 Why It Works - Traditional reversal signals suffer from lag and noise. This system filters both by: - Using multi-source confirmation, not just price movement. -Tracking volatility directly, not assuming static markets. -Detecting exhaustion, not just divergence. -Keeping your screen clean, with only the most relevant data shown. 🧾 Credit & Acknowledgement 🧠 Original Concept Inspiration: This project was deeply inspired by the work of Enes_Yetkin_ and their approach to reversal detection. This version expands on the concept with additional technical layers, updated visuals, and real-time adaptability. 📌 Final Thoughts This is more than a reversal tool. It's a market condition interpreter, entry/exit planner, and risk assistant all in one. Every aspect is engineered to give you an edge—especially when timing means everything. Use it with discipline. Use it with clarity. Trade smarter. **I will continue to release incredible strategies and indicators until I turn this into a brand or until someone offers me a contract. -Dskyz
Indicatore Pine Script®
di DskyzInvestments
9
Market Clock with Inline HoursThis script displays a powerful, configurable market session clock that shows the open/closed status and trading hours for major global financial markets — including specialized logic for NY Futures (Globex). 🔑 Key Features: ✅ Real-Time Session Status: Shows whether each selected market is currently OPEN or CLOSED, based on the user’s selected time zone. ✅ NY Futures Weekend Logic: Built-in logic ensures NY Futures are marked CLOSED: Friday after 5:00 PM ET All of Saturday Sunday until 6:00 PM ET This reflects the true CME Globex trading schedule. ✅ 12-Hour Format + Timezone Labels: Session hours are displayed in 12-hour AM/PM format alongside their associated timezone (EST, GMT, JST, etc.) for clarity. ✅ Fully Configurable Markets: You can choose to display: NY Market (RTH) NY Futures (Globex) London Tokyo Frankfurt And you can easily toggle them on/off in the settings. ✅ Text Size & Position Customization: Easily control the text size (tiny → huge) and screen position (top/bottom, left/center/right). ✅ Auto Timezone Offset Support: Select from a list of common time zones (EST, UTC, JST, etc.), or enter your own custom UTC offset for global flexibility. ✅ Compact & Clean Design: The layout groups each market’s: Real-time OPEN/CLOSED status Trading hours All into a single column, making the layout clean and dashboard-ready. 🧠 Who is this for? Day traders Futures traders Forex traders Anyone who tracks multiple time zones or global markets 📌 Notes: Clock updates based on chart timeframe (e.g., every 1m on a 1-minute chart) Pine Script doesn't support real-time per-second updates, but works well for market status tracking 💬 Feedback Welcome! This script was designed to be lightweight and user-friendly. Suggestions and improvements are always welcome — feel free to leave a comment or reach out directly.
Indicatore Pine Script®
di MatthewWorkman
MÈGAS ALGO : ZIG-ZAG CYCLE INSIGTH [INDICATOR]Overview The Zig-Zag Cycle Insigth is a revisited version of the classic Zig Zag indicator, designed to provide traders with a more comprehensive and actionable view of price movements. This advanced tool not only highlights significant price swings but also incorporates additional features such as cycle analysis, real-time data tracking, and Fibonacci retracement levels. These enhancements make it an invaluable resource for identifying trends, potential reversal points, and market structure. This indicator adheres to TradingView's guidelines and is optimized for both technical analysts and active traders who seek deeper insights into market dynamics. Key Features: 1. Customizable Thresholds for Price Movements: - Users can set personalized thresholds for price movement percentages and time periods. This ensures that only significant price swings are plotted, reducing noise and increasing clarity. - Straight lines connect swing highs and lows, providing a cleaner visual representation of the trend. 2. Cycle Analysis Table: - A dynamic table is included to analyze price cycles based on three key factors: - Price Change: Measures the magnitude of each swing (high-to-low or low-to-high). - Time Duration (Bar Count): Tracks the number of bars elapsed between consecutive swings, offering precise timing insights. - Volume: Analyzes trading volume during each segment of the cycle. - The indicator calculates the **maximum**, **minimum**, and **mean** values for each parameter across all completed cycles, providing deeper statistical insights into market behavior. - This table updates in real-time, offering traders a quantitative understanding of how price behaves over different cycles. 3. Real-Time Data Integration: - The indicator displays live updates of current price action relative to the last identified swing high/low. This includes: - Current distance from the last pivot point. - Percentage change since the last pivot. - Volume traded since the last pivot. 4. Fibonacci Retracement Levels: - Integrated Fibonacci retracement levels are dynamically calculated based on the most recent significant swing high and low. - Key retracement levels (23.6%, 38.2%, 50%, 61.8%, and 78.6%) are plotted alongside the Zig Zag lines, helping traders identify potential support/resistance zones. - Extension levels (100%, 161.8%, etc.) are also included to anticipate possible breakout targets. 5. Customizable Alerts: - Users can configure alerts for specific real-time conditions, such as: - Price Change - Duration - Volume - Fibonacci Retracement Levels How It Works: 1. Zig Zag Identification: - The indicator scans historical price data to identify significant turning points where the price moves by at least the user-defined percentage threshold. - These turning points are connected by straight lines to form the Zig Zag pattern. 2. Cycle Analysis: For each completed cycle (from one swing high/low to the next), the indicator calculates: - Price Change: Difference between the start and end prices of the cycle. - Maximum Price Change: The largest price difference observed across all cycles. - Minimum Price Change: The smallest price difference observed across all cycles. - Mean Price Change: The average price difference across all cycles. - Time Duration (Bar Count): Number of bars elapsed between consecutive swings. - Maximum Duration: The longest cycle in terms of bar count. - Minimum Duration: The shortest cycle in terms of bar count. - Mean Duration: The average cycle length in terms of bar count. - Volume: Total volume traded during the cycle. - Maximum Volume: The highest volume traded during any single cycle. - Minimum Volume: The lowest volume traded during any single cycle. - Mean Volume: The average volume traded across all cycles. - These calculations provide traders with a statistical overview of market behavior, enabling them to identify patterns and anomalies in price, time, and volume. 3. Fibonacci Integration: - Once a new swing high or low is identified, the indicator automatically calculates Fibonacci retracement and extension levels. - These levels serve as reference points for potential entry/exit opportunities. 4. Real-Time Updates: - As the market evolves, the indicator continuously monitors the relationship between the current price and the last identified swing point. - Real-time metrics, such as percentage change and volume, are updated dynamically. 5. Alerts Based on Real-Time Parameters: - The indicator allows users to set customizable alerts based on real-time conditions: - Price Change Alert: Triggered when the real-time price change is less or greater than a predefined percentage threshold (e.g., > or < fixed value). - Duration Alert: Triggered when the cycle duration (in bars) is less or greater than a predefined bar count threshold (e.g., > or < fixed value). - Volume Alert: Triggered when the trading volume during the current cycle is less or greater than a predefined volume threshold (e.g., > or < fixed value). Advantages of Zig-Zag Cycle Insigth - Comprehensive Insights: Combining cycle analysis, Fibonacci retracements, and real-time data provides a holistic view of market conditions. - Statistical Analysis: The inclusion of maximum, minimum, and mean values for price change, duration, and volume offers deeper insights into market behavior. - Actionable Signals: Customizable alerts ensure traders never miss critical market events based on real-time price, duration, and volume parameters. - User-Friendly Design: Clear visuals and intuitive controls make it accessible for traders of all skill levels. Reference: TradingView/ZigZag TradingView/AutofibRetracement Please Note: This indicator is provided for informational and educational purposes only. It is not financial advice, and it should not be considered a recommendation to buy, sell, or trade any financial instrument. Trading involves significant risks, including the potential loss of your entire investment. Always conduct your own research and consult with a licensed financial advisor before making any trading decisions. The results and images provided are based on algorithms and historical/paid real-time market data but do not guarantee future results or accuracy. Use this tool at your own risk, and understand that past performance is not indicative of future outcomes.
Indicatore Pine Script®
di MEGAS_ALGO
3
Multi-timeframe Trend & Momentum DashboardMulti-Timeframe Trend & Momentum Dashboard This indicator is a comprehensive multi-timeframe analysis tool designed for traders who want to quickly assess market trends and momentum across several timeframes. It combines trend detection with duration tracking and displays key information in an easy-to-read on-chart table. Key features include: Multi-Timeframe Analysis: Analyzes nine different timeframes (from 1-minute up to 1-week) simultaneously, helping you gauge the overall market trend at a glance. Trend Detection & Duration: Uses a combination of a short-term EMA and a long-term SMA to determine whether the market is bullish, bearish, or neutral. It also tracks how long the current trend has persisted in terms of consecutive bars and displays this duration next to each timeframe. RSI Display & Visual Alerts: Calculates the RSI for each timeframe. RSI values are color-coded—green when above 50 (indicating bullish momentum) and red when below 50 (indicating bearish conditions). Additionally, if the market is bearish on a particular timeframe while the RSI is above 50, the RSI cell flashes yellow to alert you of a potential trend reversal or divergence. On-Chart Trend Start Markers: When a new trend is detected on your current chart’s timeframe, the indicator automatically marks the bar with a label showing the new trend direction, providing a clear visual cue for trend changes. This powerful tool is perfect for traders looking to combine multi-timeframe trend analysis with momentum indicators, enabling a more informed and dynamic trading strategy. Whether you’re a day trader or swing trader, the Multi-Timeframe Trend & Momentum Dashboard brings clarity to market conditions across multiple time horizons.
Indicatore Pine Script®
di NICK789
2
OG Volume PowerDescription: The OG Volume Power is an elite-level volume analysis suite built for identifying momentum surges, trend continuation, and buyer/seller imbalances at critical price levels. It combines real-time VWAP tracking, a dynamic Point of Control (POC), and volume delta clusters to give traders a complete picture of price and volume interaction. 🔍 Key Features: Real-Time VWAP: Tracks volume-weighted average price to identify mean reversion and intraday fair value zones. Ideal for institutional-level entries and exits. Dynamic POC (Point of Control): Automatically finds the price level with the highest volume over the last N candles (default 50), helping traders pinpoint where market participants are most committed. Buyer/Seller Volume Delta Clusters: Highlights imbalances between buying and selling pressure using bullish and bearish volume deltas that exceed the 20-bar volume average — excellent for momentum detection and early trend recognition. ⚙️ How It Works: Green triangle: Buyer surge (bullish delta + above average volume) Red triangle: Seller surge (bearish delta + above average volume) Magenta line: Dynamic POC (highest volume price over recent candles) Orange line: VWAP (acts as a magnetic force for price) 📈 Best For: Intraday scalping or swing trading on SPY, QQQ, BTC, or Forex Volume flow confirmation before breakout entries Filtering false breakouts with delta strength signals 🧠 Pro Tip: Use OG Volume Power alongside your trend indicators (like OG EMA Stack or OG Supertrend) to confirm that volume is backing the move. Look for surges near VWAP or POC zones for sniper-level entries.
Indicatore Pine Script®
di OG_Wealth