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ค้นหาในสคริปต์สำหรับ "binary"

ANB AI Alert (my ANN)Hi guy This is a high level trend predicting study. It is modified from the strategy by sirlof. Feel free to use it as you like. ::USAGE only on 15 minutes 1. add the study in your chart 2. create an alert on the right 3. select ANB AI Alert (my ANN)(0,1D) 4. select the option you wish 5. select once per bar close alert 6. you can select email alert which i usually like 7. once the trade is alerted, execute your trade TP: DYNAMIC (read more) SL: null Setting TP and SL: this is in consideration with the daily volatility and sessions USDCAD TP 400 points, no stop loss. To maximize profit, use trailing stops. most trades are 500 to 1800 points
อินดิเคเตอร์ Pine Script®
โดย DevLucem
7
HFX321This indicator will provide the possibility of when trend reversals may happen on shorter time frames. It can work on any time frame and the use of Heiken Ashi candles can enhance it further. When used with other indicators such as the Stochastic RSI, support, resistance and trend lines, it can increase the possibility of a trend reversal being identified. On shorter time frames the alerts are much more frequent therefore can be less accurate so other indicators may be used. It will show an alert Arrow (green) pointing UP for the First Candle after a pivot LOW (LL, HL) that could indicate a trend reversal. It will show an alert Arrow (red) pointing DOWN for the First Candle after a pivot HIGH (HH, LH) that could indicate a trend reversal. The Colour changes on the Moving Average from Red to Green and green to red to support a trend change possibility. This has been designed to provide a visual confirmation that selected indicators have met certain criteria and that the trend has the possibility of reversing in the near future. It is NOT meant to be a trading system or offer trading advice. The indicator offers only possibilities of trend reversals when the above criteria is met. This is designed for Trend analysis ONLY. To gain access to this invite only script, please send me a private message on Trading View so I can assist you further. Thanks Les Gallagher
อินดิเคเตอร์ Pine Script®
โดย Lesgallagher247
SignalViper RushRush — Momentum Strength & Regime Visualization Rush is a momentum strength and market regime visualization tool designed to show how directional pressure evolves over time. Instead of producing discrete entry signals, Rush focuses on displaying momentum quality, persistence, and transition in a clear visual format. The script emphasizes how strong and stable momentum is, and whether current conditions favor continuation or consolidation. Core Concepts & Logic Rush evaluates momentum as a spectrum, not a binary condition. It measures directional pressure relative to recent price behavior and classifies it into graduated intensity levels. Key concepts include: Momentum Strength Indicates how strongly price is pushing in a given direction relative to recent movement. Momentum Stability Helps distinguish sustained movement from short-lived bursts. Regime Awareness Identifies when momentum is likely to be unreliable due to sideways or compressed conditions. Indicator Families Used Rush belongs to the momentum and regime-detection family of indicators. It uses smoothed, normalized momentum measurements rather than single-bar oscillators. These measurements are evaluated over time to reduce noise and highlight meaningful transitions. Visual Outputs Explained Heat Gradient Colors A 7-level color scale represents momentum intensity, ranging from weaker to stronger directional pressure. Color progression reflects relative momentum strength, not price levels. Chop Detection Dots Gold dots indicate CHOP conditions where momentum is unstable or unreliable Cyan dots indicate CLEAR conditions where momentum is more consistent Information Panel Displays current directional bias, relative momentum strength, and regime state for quick reference. All visuals are directly tied to the current momentum and regime evaluation. Alerts Custom alerts are available for: Momentum intensity transitions Regime changes between CHOP and CLEAR states Alerts are designed to notify traders of context changes, not to signal entries or exits. How to Use Rush Rush is intended to be used as a context and timing tool. Traders commonly use it to: Hold positions during sustained momentum phases Avoid overtrading during choppy conditions Anticipate transitions between expansion and consolidation It pairs naturally with structure or entry-based tools by clarifying when momentum is supportive. Why This Script Is Invite-Only Rush’s value comes from how momentum is normalized, categorized, and visualized into readable states and gradients. This allows traders to assess momentum quality at a glance without stacking multiple oscillators or filters.
อินดิเคเตอร์ Pine Script®
โดย signalviper
SignalViper PulsePulse — Market Bias & Signal Quality Analyzer Pulse is a market bias and signal-quality analysis tool designed to evaluate directional conditions using multiple layers of contextual information. Rather than generating standalone trade entries, Pulse focuses on assessing how favorable current conditions are for directional continuation or mean reversion. The script continuously evaluates price behavior across timeframes to provide a structured view of trend alignment, momentum participation, and contextual confirmation. Core Concepts & Logic Pulse operates by aggregating several analytical dimensions into a unified assessment of market bias: Directional Alignment Evaluates whether higher and lower timeframes are aligned, conflicted, or neutral. Momentum & Participation Assesses whether price movement is supported by sufficient participation rather than isolated price spikes. Contextual Weighting Incorporates volume-aware and structure-sensitive inputs to distinguish meaningful movement from noise. These components are combined into a normalized bias and quality framework, allowing traders to assess confidence rather than react to binary signals. Indicator Families Used Pulse belongs to the multi-factor bias and regime analysis category. It incorporates elements of trend analysis, momentum evaluation, and volume-aware context. Familiar concepts may be present, but they are evaluated together, not used independently, to reduce conflicting signals. Outputs Explained Pulse displays a consolidated view of market conditions through: Bias Scoring that reflects directional favorability Signal Quality Ratings that indicate alignment and confidence Visual states highlighting periods of agreement, transition, or uncertainty These outputs are designed to simplify interpretation without oversimplifying the underlying market state. How to Use Pulse Pulse is intended as a decision-support layer. Traders commonly use it to: Confirm whether directional setups are supported by broader context Avoid trades during conflicting or weak participation conditions Adjust expectations during transitional or neutral regimes It pairs naturally with entry-based or execution-focused tools by answering the question: “Is the market aligned enough to justify this trade?” Why This Script Is Invite-Only Pulse’s value comes from how multiple analytical inputs are weighted, normalized, and synthesized into a readable framework. This reduces the need for separate indicators and helps traders evaluate market conditions consistently across symbols and timeframes.
อินดิเคเตอร์ Pine Script®
โดย signalviper
QX Expert Imtiazz 3.0.4 PROQX Expert Imtiazz 3.0.4 (qx_expert_imtiaz) is a high-precision 1-minute binary scalping indicator, built using a hybrid trading strategy that combines momentum, structure, volume, and zone-based logic. This indicator is specially designed for fast decision-making and short expiry trades in volatile market conditions. --- 🔹 Core Concepts Used This indicator integrates multiple professional trading concepts into a single system: QQE (Quantitative Qualitative Estimation) Identifies momentum shifts and trend strength with reduced noise. EMA Trend Filter Confirms market direction and avoids counter-trend entries. Smart Zones (Base & Reaction Zones) Detects key price areas where reversals or continuations are most likely. Volume Confirmation Filters weak signals and confirms real market participation. Footprint Logic (Price Acceptance / Rejection) Analyzes candle behavior to validate buy/sell pressure. ---
อินดิเคเตอร์ Pine Script®
โดย oxaam479
Trend FilterTrend Filter Summary Trend Filter is a multi-factor trend-confidence indicator that produces a simple, actionable output: Direction (Up / Down / Ranging) and a normalized Confidence %. It is intended as a decision-support overlay to help traders quickly identify whether a market is trending or rangebound, and how strong that directional bias is. What it shows A single line in the on-chart table: Direction (Up / Down / Ranging). A Confidence % (0–100) that combines multiple normalized market signals into a single score. Optional notification row when a manually-selected reference timeframe does not match the chart timeframe. Alert conditions when direction changes to Up, Down, or Ranging. How the indicator works (concise, non-proprietary explanation) Trend Filter computes a weighted confidence score from several complementary components, each normalized to a 0–100 scale and combined into a single confidence value. The components and their roles are: EMA structure & spread (trend breadth) -Uses three EMAs (fast / mid / slow) computed at lengths that scale with the selected/reference timeframe. The EMA spread (fast vs slow) quantifies directional separation. HH/HL structure and streaks (price structure) -Counts higher highs/higher lows (and the reverse) across a scaled lookback to measure whether price structure is predominantly bullish, bearish or mixed. EMA slope (momentum of trend) -A robust slope approximation (smoothed) measures whether the short EMA is rising/falling relative to its own smoothed history. ADX / DMI (trend strength) -Uses a standard ADX-style component to capture directional persistence and dampen the confidence score when the ADX is weak. ATR (volatility context) -ATR expressed as a percentage of price helps detect abnormal volatility regimes which affect the validity of trend signals. Volume context -Simple volume vs a short SMA gives a participation signal that increases confidence when moves occur with higher volume. Each component is capped to avoid outsized influence. Components are scaled by a set of weights (configurable in code) and then combined. The final confidence is lightly smoothed before being used to determine direction and to feed alert conditions. Important implementation & safety design choices (why it’s not a simple mashup) Adaptive timeframe scaling: EMA lengths and lookbacks are proportionally scaled based on the chosen reference timeframe (Auto or manual). This preserves relative indicator behavior across 1-minute → Daily timeframes without manual retuning of each parameter. HH/HL structure plus streaks: Instead of relying solely on moving averages or ADX, the script explicitly measures price structure (HH/HL counts and streaks) and blends that with slope/ADX. This reduces false trending signals on noisy price action. Normalized, weighted combination with caps: Each component is normalized (0–100) and combined by predefined weights; cap thresholds prevent extreme component values from dominating the result. This is a design intended to produce interpretable confidence % rather than opaque binary outputs. History and loop safety: The code enforces a cap and protects loop lengths against available historical bars to avoid runtime errors and to ensure the script remains stable on short data series. Practical guardrails: The script includes notification behavior to highlight manual timeframe mismatches and avoids dynamic indexing patterns that can cause unreliable results on small bar histories. These design decisions — adaptive scaling, structural HH/HL scoring, capped normalization and explicit safety limits — are the elements that distinguish Trend Filter from simple, single-indicator overlays (EMA-only, ADX-only, etc.) and form the basis for why closed-source protection is reasonable for commercial/invite-only publication. User controls & recommended usage Reference Timeframe: Auto (uses chart TF) or choose a manual reference TF (1min → D). When manual TF is selected, the table shows a mismatch warning if the chart TF differs. Table placement & colors: Positioning and appearance of the on-chart table are configurable. Confidence thresholds: The indicator uses internal thresholds to mark high/medium/low confidence. Users can interpret the Confidence % relative to those ranges. Alerts: Built-in alerts fire only on direction changes (to Up, Down, or Ranging). Use alerts as a signal to review the chart rather than an instruction to trade automatically. How traders typically use it Add Trend Filter as an overlay to your chart. Confirm that the recommended reference timeframe is appropriate (Auto will adjust automatically). Use Direction and Confidence % together: high Confidence + Up (or Down) suggests staying with trend; Ranging suggests avoiding trend-following entries. Combine this filter with your entry/exit rules (price structure, support/resistance, or your preferred signal generator). Disclaimers & limitations This is a decision-support indicator, not an automated execution strategy. It does not place orders and does not provide P/L or backtesting statistics. Confidence % is an aggregated measure — treat it as context, not a guarantee. Results vary across symbols and timeframes; use appropriate position sizing and risk controls. The code intentionally includes history and loop safeguards; on very short histories the indicator may display conservative results.
อินดิเคเตอร์ Pine Script®
โดย T_I_M_E
Leading Leaders: RS / 52W / EPS+Sales + Volume (Clustered)Leading Leaders – Multi-Factor Institutional Strength & Accumulation Framework This indicator is a multi-factor leadership and accumulation framework designed to identify stocks that are behaving like institutional leaders, not just showing temporary strength. It is not a mashup of unrelated indicators. Each component measures a different dimension of leadership, and the script combines them into a structured scoring and clustering model to identify persistent, high-quality candidates suitable for swing trading, momentum continuation, and breakout anticipation. 🔹 Core Idea True leaders show repeated constructive behavior, not one-day spikes. This script evaluates four independent dimensions of leadership on every bar and then measures persistence over time using a rolling cluster score. The goal is to answer one question clearly: Is this stock consistently behaving like a leader while institutions are accumulating? 🔹 Components Explained 1) Relative Strength (RS Approximation) The script compares the stock’s daily performance against a benchmark index over a configurable lookback period and normalizes it. This identifies stocks that are outperforming the broader market, similar in concept to RS ranking models used by professional momentum traders. 2) Proximity to 52-Week High Strong leaders tend to trade near their highs, not deep below them. The script checks whether price is within a defined percentage of its 52-week high, filtering out structurally weak stocks. 3) Fundamental Growth (EPS & Sales) Institutional leadership is usually backed by real business growth. The script evaluates: EPS YoY growth EPS QoQ growth Sales YoY growth Only stocks meeting minimum growth thresholds contribute to the leadership score. 4) Volume Health (Accumulation Logic) Instead of using raw volume spikes, the script evaluates contextual volume behavior: Advances with expanding volume → institutional participation Pullbacks or tight bars with contracting volume → lack of selling pressure This aligns with accumulation principles used by O’Neil, Minervini, and professional momentum traders. 🔹 Leadership Scoring Model Each bar receives a binary score for each component: Relative Strength 52-Week High Proximity Fundamental Growth Volume Health Each bar scores 0–4 points. This creates a daily leadership score, not a trade signal. 🔹 Cluster Scoring (Persistence Filter) Rather than acting on a single bar, the script computes a rolling cluster score across recent bars. The cluster score represents: How often the stock has shown leadership behavior recently This persistence filter is what separates: one-day wonders from true institutional leaders under accumulation Stocks triggering strong cluster conditions have shown repeated strength, not isolated spikes. 🔹 Visual Design Philosophy This script is intentionally designed for clarity and scan-ability: Background shading highlights leadership intensity Bar coloring emphasizes strongest conditions Optional labels summarize why a bar qualifies No external indicators are required, and the chart remains clean and readable. 🔹 How to Use This indicator does NOT generate buy/sell signals. Typical professional use cases include: Building watchlists of high-quality leaders Identifying accumulation before breakouts Filtering for momentum continuation candidates Avoiding low-quality or noisy stocks Market condition analysis during weak breadth environments Best suited for: Daily and higher timeframes Swing trading Momentum and breakout strategies ⚠️ Important Notes This is a research and analysis tool, not a trading system. No future data is used; calculations are non-repainting. Always combine with market context, risk management, and execution rules. ✅ Why This Script Is Original Uses a multi-dimension leadership framework, not a single indicator Focuses on behavioral persistence (cluster scoring) rather than point-in-time signals Applies contextual volume logic, not raw volume spikes Designed specifically for leader identification and accumulation analysis This combination and scoring methodology is not a direct reproduction of any single open-source script and is intended to provide structured insight into institutional stock behavior.
อินดิเคเตอร์ Pine Script®
โดย Sunitkumar
Institutional MF-Vol Compression Scanner v4.0 [BIG]═══════════════════════════════════════════════════════════════════════════════ BIG COMPRESSION SCANNER v4.0 ═══════════════════════════════════════════════════════════════════════════════ OVERVIEW The BIG Compression Scanner v4.0 is a proprietary volatility regime detection system designed for systematic Daily options deployment. This framework identifies pre-expansion volatility compression zones through multi-dimensional market structure analysis, combining institutional positioning patterns with hierarchical timeframe confirmation and options market structure to generate high-conviction directional signals for premium strategies. The methodology synthesizes volatility dynamics, liquidity flow patterns, and cross-timeframe regime alignment into a probabilistic scoring system that isolates asymmetric risk-reward setups characteristic of compression-to-expansion transitions. The framework is calibrated specifically for 30-45 DTE options strategies where timing precision and volatility environment assessment are critical to edge generation. ═══════════════════════════════════════════════════════════════════════════════ CORE METHODOLOGY ═══════════════════════════════════════════════════════════════════════════════ • Proprietary Compression Detection The system employs a multi-factor compression identification framework that monitors volatility regime transitions across price dispersion metrics and range contraction patterns. Unlike single-indicator squeeze systems, this methodology uses weighted ensemble logic to distinguish true pre-expansion compression from random consolidation noise. Compression strength is quantified through a proprietary scoring algorithm (0-100%) that evaluates: - Statistical volatility contraction relative to historical norms - Price range compression within dynamic envelope systems - Institutional volume signature analysis during low-volatility periods - Cross-timeframe compression alignment (Daily/Weekly/Monthly hierarchy) The framework filters compression events based on minimum strength thresholds and multi-bar confirmation to eliminate premature signals characteristic of retail squeeze indicators. • Hierarchical Multi-Timeframe Architecture The indicator integrates a three-tier temporal analysis structure where higher timeframes constrain and validate lower timeframe signals: Strategic Layer (Monthly) – Establishes macro directional bias and identifies structural market positioning. This layer determines whether intermediate trends align with or counter dominant regime dynamics. Structural Layer (Weekly) – Provides tactical context through key price levels, momentum assessment, and volatility regime confirmation. Weekly analysis filters signals that would occur in unfavorable proximity to structural inflection zones. Execution Layer (Daily) – Generates precise entry timing through intraday regime shift detection, momentum confluence analysis, and institutional flow pattern recognition. Each layer contributes weighted influence to the composite directional probability model, with recalibration logic that adjusts timeframe importance based on current market regime characteristics. The exact weighting algorithm is proprietary and adapts to volatility environment dynamics. • Options Market Structure Integration Version 4.0 incorporates options-specific market intelligence not available in standard technical analysis frameworks: Volatility Environment Assessment – The system continuously monitors implied volatility regime characteristics through proprietary estimation models. These models identify whether current premium levels favor buying or selling strategies, adjusting signal generation accordingly. Temporal Decay Awareness – Built-in expiration cycle logic ensures signals only trigger when sufficient time value remains for thesis development. The framework approximates days-to-expiration and applies minimum threshold filters to prevent entries in high theta decay regimes. Greeks-Aware Targeting – Price targets are dynamically calibrated based on volatility expansion expectations and estimated leverage characteristics. Target multipliers adjust to current options market structure rather than using fixed risk-reward ratios. Premium Environment Classification – Signals are enhanced with real-time assessment of whether current volatility levels favor long premium, short premium, or spread strategies based on historical percentile analysis. • Probabilistic Directional Scoring System Rather than binary bullish/bearish classification, the framework generates probability-weighted directional bias through a proprietary multi-factor model. This model synthesizes trend alignment metrics, momentum characteristics, structural positioning, and institutional flow signatures into normalized probability distributions. The scoring system evaluates dozens of market structure variables across multiple timeframes, applies regime-dependent weighting, and produces directional probabilities that reflect actual edge rather than arbitrary technical indicator thresholds. Signal generation occurs only when directional probability exceeds user-defined conviction thresholds (55-65% depending on sensitivity setting). This probabilistic approach allows traders to calibrate position sizing and strategy selection (outright vs. spreads) to the strength of directional conviction rather than treating all signals as equal weight. • Institutional Flow Detection The framework monitors volume and price interaction patterns characteristic of institutional accumulation or distribution during compression phases. This analysis identifies whether compression zones contain building directional positions (high probability of sustained move post-breakout) versus thin, choppy consolidation (high false breakout risk). Flow detection employs proprietary algorithms that distinguish genuine institutional activity from retail volume spikes, providing critical context for signal validation. ═══════════════════════════════════════════════════════════════════════════════ SIGNAL ARCHITECTURE ═══════════════════════════════════════════════════════════════════════════════ Call Option Signals trigger when compression strength, directional probability, timeframe alignment, options market structure, and institutional flow patterns simultaneously satisfy proprietary threshold criteria. Signals are filtered against weekly structural levels to avoid low-probability entries near major resistance zones. Put Option Signals follow equivalent logic with inverse directional parameters, ensuring symmetrical framework application across bull and bear setups. All signals include: - Directional conviction probability (percentage) - Current volatility environment assessment (IV Rank proxy) - Dynamic price target based on expansion expectations - Multi-timeframe alignment status Signal cooldown logic prevents excessive signal generation during extended consolidation periods, maintaining signal quality over quantity. ═══════════════════════════════════════════════════════════════════════════════ VISUAL INTELLIGENCE ═══════════════════════════════════════════════════════════════════════════════ Real-Time Multi-Timeframe Dashboard The top-right panel provides continuous visibility into: - Trend alignment across Daily/Weekly/Monthly timeframes - Current compression status at each temporal layer - Momentum regime characteristics (RSI values) - Options environment assessment (IV Rank, optimal strategy) - Composite signal readiness (compression strength percentage) This dashboard enables rapid regime assessment without manual multi-timeframe chart analysis. Chart Integration Visual overlays include: - Volatility envelope systems (dynamic bands) - Weekly structural price levels (pivot, resistance, support) - Compression zone highlighting (background shading) - Active squeeze indicators (Daily and Weekly differentiation) Signal Labels When setups trigger, comprehensive labels display: 📈 CALL OPTION Prob: XX% IV Rank: XX% Target: $XXX.XX Labels provide all critical execution information without requiring dashboard consultation. ═══════════════════════════════════════════════════════════════════════════════ KEY CAPABILITIES ═══════════════════════════════════════════════════════════════════════════════ - Proprietary multi-factor compression detection with adaptive thresholds - Hierarchical multi-timeframe confirmation (Daily/Weekly/Monthly) - Options-specific filters (IV regime, DTE requirements, Greeks awareness) - Probabilistic directional scoring (0-100% conviction levels) - Institutional flow pattern recognition during compression - Weekly structural level integration with proximity filters - Dynamic target calibration based on volatility expansion expectations - Real-time multi-timeframe regime dashboard - Customizable sensitivity and threshold parameters - Non-repainting signal architecture (bar close confirmation) - Comprehensive alert system for proactive monitoring ═══════════════════════════════════════════════════════════════════════════════ APPLICATION GUIDELINES ═══════════════════════════════════════════════════════════════════════════════ 1. Timeframe Selection Apply to Daily (D1) charts only. Framework calibration is timeframe-specific; other intervals produce suboptimal results. 2. Options Mode Activation Enable Options Trading Mode for premium strategy optimization. This activates IV filtering, DTE thresholds, and Greeks-aware targeting. 3. Strategy Calibration - Premium Buying: Set IV threshold to 50th percentile, DTE minimum 30+ days, target multiplier 2.5-3.0× - Premium Selling: Set IV threshold to 70th+ percentile, DTE minimum 20-30 days, target multiplier 1.5-2.0× 4. MTF Dashboard Monitoring Verify multi-timeframe alignment before execution: - Ideal setup: Daily + Weekly compression both active - Confirm trend alignment across timeframes - Check IV Rank for premium environment assessment - Wait for "READY" status (green) indicating threshold satisfaction 5. Signal Execution When labels appear: - Review directional probability (target >65% for high conviction) - Assess IV environment (low IV favors buying, high IV favors selling) - Use price target for strike selection and profit objectives - Consider 30-45 DTE options for thesis development time 6. Risk Management - Position size: 2-5% options capital per signal - Stop loss: Exit if compression breaks opposite direction without follow-through - Time stop: Reassess if position stagnant after 5-7 days - Profit taking: Scale out at provided targets or weekly pivot levels 7. Sensitivity Adjustment - High (55%): More signals, lower conviction, diversified approach - Medium (60%): Balanced, default setting (2-4 signals/month typical) - Low (65%): Fewer signals, higher conviction, concentrated positions ═══════════════════════════════════════════════════════════════════════════════ FRAMEWORK LIMITATIONS ═══════════════════════════════════════════════════════════════════════════════ - Optimized exclusively for Daily timeframe analysis - Compression development requires patience (2-4 weeks typical) - IV metrics are proprietary proxies, not direct exchange data - Greeks estimations approximate actual options contract characteristics - DTE calculations simplified vs. precise monthly expiration dates - Multi-timeframe filtering reduces but cannot eliminate false breakouts - Requires liquid options markets (tight spreads, adequate open interest) - Not designed for earnings-driven volatility events (IV crush risk) - Framework identifies timing, not specific strike or expiration selection ═══════════════════════════════════════════════════════════════════════════════ TECHNICAL SPECIFICATIONS ═══════════════════════════════════════════════════════════════════════════════ - Pine Script v5 architecture - Non-repainting signal confirmation (bar close validation) - Multi-security data integration (Weekly/Monthly via request.security) - Real-time multi-timeframe analysis dashboard - 4 alert conditions (Call/Put options, directional generic) - Fully customizable parameters (compression, scoring, filters, visuals) - Professional-grade visual hierarchy and information density ═══════════════════════════════════════════════════════════════════════════════ PROFESSIONAL CONTEXT ═══════════════════════════════════════════════════════════════════════════════ This framework is designed for systematic options traders with working knowledge of: - Volatility regime dynamics and expansion/contraction cycles - Options Greeks and their impact on P&L across various market conditions - Implied Volatility Rank interpretation and premium pricing assessment - Multi-timeframe analysis methodology and trend hierarchy - Risk-adjusted position sizing and portfolio construction principles The system identifies when market structure favors options deployment but does not prescribe how to construct positions. Strike selection, expiration choice, spread architecture, and position sizing require independent trader judgment based on account parameters and risk tolerance. Optimal deployment combines this framework with: - Options analytics platform (actual IV, Greeks, probability calculations) - Earnings calendar awareness (pre-earnings IV inflation vs. post-earnings crush) - Broader market regime context (VIX, correlation, sector rotation) - Portfolio-level risk management (concentration limits, correlation analysis) ═══════════════════════════════════════════════════════════════════════════════ Proprietary compression-to-expansion framework for systematic Daily options deployment. Methodology incorporates multi-dimensional volatility analysis, hierarchical timeframe confirmation, and options market structure intelligence.
อินดิเคเตอร์ Pine Script®
โดย NVBIG
NQ Market DNA MapNQ Market DNA Map The Market DNA Map indicator is designed to visualize key trading sessions (Asia, London, and New York) on the chart while providing a probabilistic lookup table based on historical session patterns. This tool draws session boxes with midline references, extends session highs and lows until mitigated or a daily hardstop (16:00 in the selected timezone), and displays a summary table with statistical metrics derived from predefined historical data. The data mappings are hardcoded, reflecting an analytical approach for session-based price action. Note that all probabilities and metrics are based on past observations and should not be interpreted as predictions or guarantees of future market behavior. These statistics are only tested and generated based on NQ futures. This indicator is for educational and informational purposes only; trading decisions should incorporate additional analysis and risk management. Key Features • Session Visualization: o Draws colored boxes for the Asia, London, and New York sessions, updating in real-time as the session progresses. o Includes a dotted midline within each box for quick reference to the session's midpoint. o Extends horizontal lines from the final session high and low until price mitigates them (crossing both above and below) or the daily hardstop is reached. • Probabilistic Table: o A customizable-position table appears on the chart (once the New York open is detected), summarizing conditions and metrics for the current day's setup. o Conditions include: Asia range relative to its rolling average, London open relative to Asia's midpoint, London sweep type (high only, low only, both, or none), and New York open relative to London's midpoint. o Metrics displayed include:  First High Sweep %: Probability (based on historical data) that the high of the prior session is swept first during New York.  First Low Sweep %: Probability that the low is swept first.  Med Pen ↑ (High): Median penetration distance (in points) above the session high.  Med Pen ↓ (Low): Median penetration below the session low.  Fail High -> Low %: Failure rate where an initial high sweep fails and reverses to sweep the low.  Fail Low -> High %: Failure rate for an initial low sweep reversing to the high.  Sample Size: Number of historical observations for the matching pattern (n value), with a rating of "High" (n ≥ 150), "Mid" (n ≥ 75), or "Low" (n < 75) to indicate data reliability. o The table uses color-coding for quick interpretation: Green for above-average/above-mid conditions, red for below, and neutral tones for metrics. • Asia Range Ratio: Calculates a rolling average of Asia session ranges over a user-defined lookback period to classify the current Asia range as above or below average. • Hardstop Logic: All extensions cease at 16:00 in the selected timezone to align with typical daily cycle resets. Inputs and Customization • Calculation Timezone: Select from predefined options (e.g., "America/New_York", "Europe/London") to align session times with your preferred market clock. Default: "America/New_York". • Session Times: o Asia Session: Default "2000-0200" (8:00 PM to 2:00 AM in the selected timezone). o London Session: Default "0200-0800" (2:00 AM to 8:00 AM). o NY Session: Default "0800-1600" (8:00 AM to 4:00 PM). These can be adjusted to match specific market hours or personal preferences. • Asia Ratio Rolling Window: Integer lookback (default: 20) for calculating the average Asia session range ratio (range divided by open price). • Table Position: Choose where the summary table appears on the chart (e.g., top_right, bottom_right). Default: top_right. • Colors: Customizable box fill and border colors for each session (Asia: yellow tones, London: blue, NY: gray) with transparency settings for overlay compatibility. How It Works 1. Session Detection: The indicator checks the current bar's time against user-defined sessions in the selected timezone. Sessions are non-overlapping and assume a 24-hour cycle. 2. Box and Line Drawing: o At session start, a box is initialized from the open/high/low. o As the session progresses, the box expands to capture the live high/low, with the midline updating dynamically. o Upon session end, final high/low are locked, and extension lines are drawn horizontally. o Extensions persist until price fully mitigates the level (high ≥ level and low ≤ level) or the hardstop time is passed. 3. Asia Ratio Calculation: Maintains a historical array of Asia range ratios (high-low divided by open). The current ratio is compared to the average over the lookback to classify as "Above Avg" or "Below Avg". 4. Key Generation and Lookup: o A unique key is built from four binary/ternary codes: Asia classification (0/1), London open vs. Asia mid (0/1), London sweep type (0=high only, 1=low only, 2=both, 3=none), NY open vs. London mid (0/1). o This key queries a hardcoded map of historical data (e.g., "0_0_0_0" for above-avg Asia, above-mid London open, high-only sweep, above-mid NY open). o Data includes sample size, probabilities, failure rates, and median penetrations, all derived from historical analysis (total samples across all keys: approximately 5,000+ based on the provided mappings). 5. Table Rendering: On the last bar (real-time), the table populates with the current key's data. Metrics are formatted for readability, and penetration values are scaled to the current London high/low in points for context. 6. Performance Notes: The indicator uses up to 500 lines and boxes for extensions and visuals, ensuring compatibility with TradingView limits. It is overlay=true, so it plots directly on the price chart. Data Source and Limitations The probabilistic data is hardcoded and represents a compilation of historical session patterns from backtested or observed market behavior on NQ futures. Exact data collection methodology is not specified in the script, but values are presented as-is for illustrative purposes. Users should verify applicability to their specific symbol/timeframe, as markets evolve and past patterns may not repeat. Low-sample patterns (rated "Low") have higher uncertainty. This indicator does not generate buy/sell signals, alerts, or trading strategies—it solely provides visual and statistical context. Always combine with other tools, fundamental analysis, and proper risk controls. Trading involves risk of loss; no performance guarantees are implied. If republishing or modifying, please credit the original structure and adhere to TradingView's publication guidelines. For questions on usage, refer to TradingView documentation on session indicators and probabilistic tools.
อินดิเคเตอร์ Pine Script®
โดย tncylyv
6
Moving Average ExponentialThe EMA 50 Trend Filter At the heart of the Sniper system lies the 50-period Exponential Moving Average. Unlike simple moving averages, the EMA applies a weighting factor to recent price data, significantly reducing lag. Role in Strategy: Trend Identification: Serves as the binary divider between Long and Short bias. Dynamic Structure: Acts as dynamic support in uptrends and resistance in downtrends. Signal Filtering: The algorithm automatically suppresses any 'Buy' signals below the line and 'Sell' signals above it, ensuring you never trade against the institutional momentum.
อินดิเคเตอร์ Pine Script®
โดย GiladKatz
4
Impulse Reactor RSI-SMA Trend Indicator [ApexLegion]Impulse Reactor RSI-SMA Trend Indicator Introduction and Theoretical Background Design Rationale Standard indicators frequently generate binary 'BUY' or 'SELL' signals without accounting for the broader market context. This often results in erratic "Flip-Flop" behavior, where signals are triggered indiscriminately regardless of the prevailing volatility regime. Impulse Reactor was engineered to address this limitation by unifying two critical requirements: Quantitative Rigor and Execution Flexibility. The Solution Composite Analytical Framework This script is not a simple visual overlay of existing indicators. It is an algorithmic synthesis designed to function as a unified decision-making engine. The primary objective was to implement rigorous quantitative analysis (Volatility Normalization, Structural Filtering) directly within an alert-enabled framework. This architecture is designed to process signals through strict, multi-factor validation protocols before generating real-time notifications, allowing users to focus on structurally validated setups without manual monitoring. How It Works This is not a simple visual mashup. It utilizes a cross-validation algorithm where the Trend Structure acts as a gatekeeper for Momentum signals: Logic over Lag: Unlike simple moving average crossovers, this script uses a 15-layer Gradient Ribbon to detect "Laminar Flow." If the ribbon is knotted (Compression), the system mathematically suppresses all signals. Volatility Normalization: The core calculation adapts to ATR (Average True Range). This means the indicator automatically expands in volatile markets and contracts in quiet ones, maintaining accuracy without constant manual tweaking. Adaptive Signal Thresholding: It incorporates an 'Anti-Greed' algorithm (Dynamic Thresholding) that automatically adjusts entry criteria based on trend duration. This logic aims to mitigate the risk of entering positions during periods of statistical trend exhaustion. Why Use It? Market State Decoding: The gradient Ribbon visualizes the underlying trend phase in real-time. ◦ Cyan/Blue Flow: Strong Bullish Trend (Laminar Flow). ◦ Magenta/Pink Flow: Strong Bearish Trend. ◦ Compressed/Knotted: When the ribbon lines are tightly squeezed or overlapping, it signals Consolidation. The system filters signals here to avoid chop. Noise Reduction: The goal is not to catch every pivot, but to isolate high-confidence setups. The logic explicitly filters out minor fluctuations to help maintain position alignment with the broader trend. ⚖️ Chapter 1: System Architecture Introduction: Composite Analytical Framework System Overview Impulse Reactor serves as a comprehensive technical analysis engine designed to synthesize three distinct market dimensions—Momentum, Volatility, and Trend Structure—into a unified decision-making framework. Unlike traditional methods that analyze these metrics in isolation, this system functions as a central processing unit that integrates disparate data streams to construct a coherent model of market behavior. Operational Objective The primary objective is to transition from single-dimensional signal generation to a multi-factor assessment model. By fusing data from the Impulse Core (Volatility), Gradient Oscillator (Momentum), and Structural Baseline (Trend), the system aims to filter out stochastic noise and identify high-probability trade setups grounded in quantitative confluence. Market Microstructure Analysis: Limitations of Conventional Models Extensive backtesting and quantitative analysis have identified three critical inefficiencies in standard oscillator-based strategies: • Bounded Oscillator Limitations (The "Oscillation Trap"): Traditional indicators such as RSI or Stochastics are mathematically constrained between fixed values (0 to 100). In strong trending environments, these metrics often saturate in "overbought" or "oversold" zones. Consequently, traders relying on static thresholds frequently exit structurally valid positions prematurely or initiate counter-trend trades against prevailing momentum, resulting in suboptimal performance. • Quantitative Blindness to Quality: Standard moving averages and trend indicators often fail to distinguish the qualitative nature of price movement. They treat low-volume drift and high-velocity expansion identically. This inability to account for "Volatility Quality" leads to delayed responsiveness during critical market events. • Fractal Dissonance (Timeframe Disconnect): Financial markets exhibit fractal characteristics where trends on lower timeframes may contradict higher timeframe structures. Manual integration of multi-timeframe analysis increases cognitive load and susceptibility to human error, often resulting in conflicting biases at the point of execution. Core Design Principles To mitigate the aforementioned systemic inefficiencies, Impulse Reactor employs a modular architecture governed by three foundational principles: Principle A: Volatility Precursor Analysis Market mechanics demonstrate that volatility expansion often functions as a leading indicator for directional price movement. The system is engineered to detect "Volatility Deviation" — specifically, the divergence between short-term and long-term volatility baselines—prior to its manifestation in price action. This allows for entry timing aligned with the expansion phase of market volatility. Principle B: Momentum Density Visualization The system replaces singular momentum lines with a "Momentum Density" model utilizing a 15-layer Simple Moving Average (SMA) Ribbon. • Concept: This visualization represents the aggregate strength and consistency of the trend. • Application: A fully aligned and expanded ribbon indicates a robust trend structure ("Laminar Flow") capable of withstanding minor counter-trend noise, whereas a compressed ribbon signals consolidation or structural weakness. Principle C: Adaptive Confluence Protocols Signal validity is strictly governed by a multi-dimensional confluence logic. The system suppresses signal generation unless there is synchronized confirmation across all three analytical vectors: 1. Volatility: Confirmed expansion via the Impulse Core. 2. Momentum: Directional alignment via the Hybrid Oscillator. 3. Structure: Trend validation via the Baseline. This strict filtering mechanism significantly reduces false positives in non-trending (choppy) environments while maintaining sensitivity to genuine breakouts. 🔍 Chapter 2: Core Modules & Algorithmic Logic Module A: Impulse Core (Normalized Volatility Deviation) Operational Logic The Impulse Core functions as a volatility-normalized momentum gauge rather than a standard oscillator. It is designed to identify "Volatility Contraction" (Squeeze) and "Volatility Expansion" phases by quantifying the divergence between short-term and long-term volatility states. Volatility Z-Score Normalization The formula implements a custom normalization algorithm. Unlike standard oscillators that rely on absolute price changes, this logic calculates the Z-Score of the Volatility Spread. ◦ Numerator: (atr_f - atr_s) captures the raw momentum of volatility expansion. ◦ Denominator: (std_f + 1e-6) standardizes this value against historical variance. ◦ Result: This allows the indicator scales consistently across assets (e.g., Bitcoin vs. Euro) without manual recalibration. f_impulse() => atr_f = ta.atr(fastLen) // Fast Volatility Baseline atr_s = ta.atr(slowLen) // Slow Volatility Baseline std_f = ta.stdev(atr_f, devLen) // Volatility Standard Deviation (atr_f - atr_s) / (std_f + 1e-6) // Normalized Differential Calculation Algorithmic Framework • Differential Calculation: The system computes the spread between a Fast Volatility Baseline (ATR-10) and a Slow Volatility Baseline (ATR-30). • Normalization Protocol: To standardize consistency across diverse asset classes (e.g., Forex vs. Crypto), the raw differential is divided by the standard deviation of the volatility itself over a 30-period lookback. • Signal Generation: ◦ Contraction (Squeeze): When the Fast ATR compresses below the Slow ATR, it registers a potential volatility buildup phase. ◦ Expansion (Release): A rapid divergence of the Fast ATR above the Slow ATR signals a confirmed volatility expansion, validating the strength of the move. Module B: Gradient Oscillator (RSI-SMA Hybrid) Design Rationale To mitigate the "noise" and "false reversal" signals common in single-line oscillators (like standard RSI), this module utilizes a 15-Layer Gradient Ribbon to visualize momentum density and persistence. Technical Architecture • Ribbon Array: The system generates 15 sequential Simple Moving Averages (SMA) applied to a volatility-adjusted RSI source. The length of each layer increases incrementally. • State Analysis: Momentum Alignment (Laminar Flow): When all 15 layers are expanded and parallel, it indicates a robust trend where buying/selling pressure is distributed evenly across multiple timeframes. This state helps filter out premature "overbought/oversold" signals. • Consolidation (Compression): When the distance between the fastest layer (Layer 1) and the slowest layer (Layer 15) approaches zero or the layers intersect, the system identifies a "Non-Tradable Zone," preventing entries during choppy market conditions. // Laminar Flow Validation f_validate_trend() => // Calculate spread between Ribbon layers ribbon_spread = ta.stdev(ribbon_array, 15) // Only allow signals if Ribbon is expanded (Laminar Flow) is_flowing = ribbon_spread > min_expansion_threshold // If compressed (Knotted), force signal to false is_flowing ? signal : na Module C: Adaptive Signal Filtering (Behavioral Bias Mitigation) This subsystem, operating as an algorithmic "Anti-Greed" Mechanism, addresses the statistical tendency for signal degradation following prolonged trends. Dynamic Threshold Adjustment • Win Streak Detection: The algorithm internally tracks the outcome of closed trade cycles. • Sensitivity Multiplier: Upon detecting consecutive successful signals in the same direction, a Penalty_Factor is applied to the entry logic. • Operational Impact: This effectively raises the Required_Slope threshold for subsequent signals. For example, after three consecutive bullish signals, the system requires a 30% steeper trend angle to validate a fourth entry. This enforces stricter discipline during extended trends to reduce the probability of entering at the point of trend exhaustion. Anti-Greed Logic: Dynamic Threshold Calculation f_adjust_threshold(base_slope, win_streak) => // Adds a 10% penalty to the difficulty for every consecutive win penalty_factor = 0.10 risk_scaler = 1 + (win_streak * penalty_factor) // Returns the new, harder-to-reach threshold base_slope * risk_scaler Module D: Trend Baseline (Triple-Smoothed Structure) The Trend Baseline serves as the structural filter for all signals. It employs a Triple-Smoothed Hybrid Algorithm designed to balance lag reduction with noise filtration. Smoothing Stages 1. Volatility Banding: Utilizes a SuperTrend-based calculation to establish the upper and lower boundaries of price action. 2. Weighted Filter: Applies a Weighted Moving Average (WMA) to prioritize recent price data. 3. Exponential Smoothing: A final Exponential Moving Average (EMA) pass is applied to create a seamless baseline curve. Functionality This "Heavy" baseline resists minor intraday volatility spikes while remaining responsive to sustained structural shifts. A signal is only considered valid if the price action maintains structural integrity relative to this baseline 🚦 Chapter 3: Risk Management & Exit Protocols Quantitative Risk Management (TP/SL & Trailing) Foundational Architecture: Volatility-Adjusted Geometry Unlike strategies relying on static nominal values, Impulse Reactor establishes dynamic risk boundaries derived from quantitative volatility metrics. This design aligns trade invalidation levels mathematically with the current market regime. • ATR-Based Dynamic Bracketing: The protocol calculates Stop-Loss and Take-Profit levels by applying Fibonacci coefficients (Default: 0.786 for SL / 1.618 for TP) to the Average True Range (ATR). ◦ High Volatility Environments: The risk bands automatically expand to accommodate wider variance, preventing premature exits caused by standard market noise. ◦ Low Volatility Environments: The bands contract to tighten risk parameters, thereby dynamically adjusting the Risk-to-Reward (R:R) geometry. • Close-Validation Protocol ("Soft Stop"): Institutional algorithms frequently execute liquidity sweeps—driving prices briefly below key support levels to accumulate inventory. ◦ Mechanism: When the "Soft Stop" feature is enabled, the system filters out intraday volatility spikes. The stop-loss is conditional; execution is triggered only if the candle closes beyond the invalidation threshold. ◦ Strategic Advantage: This logic distinguishes between momentary price wicks and genuine structural breakdowns, preserving positions during transient volatility. • Step-Function Trailing Mechanism: To protect unrealized PnL while allowing for normal price breathing, a two-phase trailing methodology is employed: ◦ Phase 1 (Activation): The trailing function remains dormant until the price advances by a pre-defined percentage threshold. ◦ Phase 2 (Dynamic Floor): Once armed, the stop level creates a moving floor, adjusting relative to price action while maintaining a volatility-based (ATR) buffer to systematically protect unrealized PnL. • Algorithmic Exit Protocols (Dynamic Liquidity Analysis) ◦ Rationale: Inefficiencies of Static Targets Static "Take Profit" levels often result in suboptimal exits. They compel traders to close positions based on arbitrary figures rather than evolving market structure, potentially capping upside during significant trends or retaining positions while the underlying trend structure deteriorates. ◦ Solution: Structural Integrity Assessment The system utilizes a Dynamic Liquidity Engine to continuously audit the validity of the position. Instead of targeting a specific price point, the algorithm evaluates whether the trend remains statistically robust. Multi-Factor Exit Logic (The Tri-Vector System) The Smart Exit protocol executes only when specific algorithmic invalidation criteria are met: • 1. Momentum Exhaustion (Confluence Decay): The system monitors a 168-hour rolling average of the Confluence Score. A significant deviation below this historical baseline indicates momentum exhaustion, signaling that the driving force behind the trend has dissipated prior to a price reversal. This enables preemptive exits before a potential drawdown. • 2. Statistical Over-Extension (Mean Reversion): Utilizing the core volatility logic, the system identifies instances where price deviates beyond 2.0 standard deviations from the mean. While the trend may be technically bullish, this statistical anomaly suggests a high probability of mean reversion (elastic snap-back), triggering a defensive exit to capitalize on peak valuation. • 3. Oscillator Rejection (Immediate Pivot): To manage sudden V-shaped volatility, the system monitors RSI pivots. If a sharp "Pivot High" or divergence is detected, the protocol triggers an immediate "Peak Exit," bypassing standard trend filters to secure liquidity during high-velocity reversals. 🎨 Chapter 4: Visualization Guide Gradient Oscillator Ribbon The 15-layer SMA ribbon visualized via plot(r1...r15) represents the "Momentum Density" of the market. • Visuals: ◦ Cyan/Blue Ribbon: Indicates Bullish Momentum. ◦ Pink/Magenta Ribbon: Indicates Bearish Momentum. • Interpretation: ◦ Laminar Flow: When the ribbon expands widely and flows in parallel, it signifies a robust trend where momentum is distributed evenly across timeframes. This is the ideal state for trend-following. ◦ Compression (Consolidation): If the ribbon becomes narrow, twisted, or knotted, it indicates a "Non-Tradable Zone" where the market lacks a unified direction. Traders are advised to wait for clarity. ◦ Over-Extension: If the top layer crosses the Overbought (85) or Oversold (15) lines, it visually warns of potential market overheating. Trend Baseline The thick, color-changing line plotted via plot(baseline) represents the Structural Backbone of the market. • Visuals: Changes color based on the trend direction (Blue for Bullish, Pink for Bearish). • Interpretation: Structural Filter: Long positions are statistically favored only when price action sustains above this baseline, while short positions are favored below it. Dynamic Support/Resistance: The baseline acts as a dynamic support level during uptrends and resistance during downtrends. Entry Signals & Labels Text labels ("Long Entry", "Short Entry") appear when the system detects high-probability setups grounded in quantitative confluence. • Visuals: Labeled signals appear above/below specific candles. • Interpretation: These signals represent moments where Volatility (Expansion), Momentum (Alignment), and Structure (Trend) are synchronized. Smart Exit: Labels such as "Smart Exit" or "Peak Exit" appear when the system detects momentum exhaustion or structural decay, prompting a defensive exit to preserve capital. Dynamic TP/SL Boxes The semi-transparent colored zones drawn via fill() represent the risk management geometry. • Visuals: Colored boxes extending from the entry point to the Take Profit (TP) and Stop Loss (SL) levels. • Function: Volatility-Adjusted Geometry: Unlike static price targets, these boxes expand during high volatility (to prevent wicks from stopping you out) and contract during low volatility (to optimize Risk-to-Reward ratios). SAR + MACD Glow Small glowing shapes appearing above or below candles. • Visuals: Triangle or circle glows near the price bars. • Interpretation: This visual indicates a secondary confirmation where Parabolic SAR and MACD align with the main trend direction. It serves as an additional confluence factor to increase confidence in the trade setup. Support/Resistance Table A small table located at the bottom-right of the chart. • Function: Automatically identifies and displays recent Pivot Highs (Resistance) and Pivot Lows (Support). • Interpretation: These levels can be used as potential targets for Take Profit or invalidation points for manual Stop Loss adjustments. 🖥️ Chapter 5: Dashboard & Operational Guide Integrated Analytics Panel (Dashboard Overview) To facilitate rapid decision-making without manual calculation, the system aggregates critical market dimensions into a unified "Heads-Up Display" (HUD). This panel monitors real-time metrics across multiple timeframes and analytical vectors. A. Intermediate Structure (12H Trend) • Function: Anchors the intraday analysis to the broader market structure using a 12-hour rolling window. • Interpretation: ◦ Bullish (> +0.5%): Indicates a positive structural bias. Long setups align with the macro flow. ◦ Bearish (< -0.5%): Indicates structural weakness. Short setups are statistically favored. ◦ Neutral: Represents a ranging environment where the Confluence Score becomes the primary weighting factor. B. Composite Confluence Score (Signal Confidence) • Definition: A probability metric derived from the synchronization of Volatility (Impulse Core), Momentum (Ribbon), and Trend (Baseline). • Grading Scale: Strong Buy/Sell (> 7.0 / < 3.0): Indicates full alignment across all three vectors. Represents a "Prime Setup" eligible for standard position sizing. Buy/Sell (5.0–7.0 / 3.0–5.0): Indicates a valid trend but with moderate volatility confirmation. Neutral: Signals conflicting data (e.g., Bullish Momentum vs. Bearish Structure). Trading is not recommended ("No-Trade Zone"). C. Statistical Deviation Status (Mean Reversion) • Logic: Utilizes Bollinger Band deviation principles to quantify how far price has stretched from the statistical mean (20 SMA). • Alert States: Over-Extended (> 2.0 SD): Warning that price is statistically likely to revert to the mean (Elastic Snap-back), even if the trend remains technically valid. New entries are discouraged in this zone. Normal: Price is within standard distribution limits, suitable for trend-following entries. D. Volatility Regime Classification • Metric: Compares current ATR against a 100-period historical baseline to categorize the market state. • Regimes: Low Volatility (Lvl < 1.0): Market Compression. Often precedes volatility expansion events. Mid Volatility (Lvl 1.0 - 1.5): Standard operating environment. High Volatility (Lvl > 1.5): Elevated market stress. Risk parameters should be adjusted (e.g., reduced position size) to account for increased variance. E. Performance Telemetry • Function: Displays the historical reliability of the Trend Baseline for the current asset and timeframe. • Operational Threshold: If the displayed Win Rate falls below 40%, it suggests the current market behavior is incoherent (choppy) and does not respect trend logic. In such cases, switching assets or timeframes is recommended. Operational Protocols & Signal Decoding Visual Interpretation Standards • Laminar Flow (Trade Confirmation): A valid trend is visually confirmed when the 15-layer SMA Ribbon is fully expanded and parallel. This indicates distributed momentum across timeframes. • Consolidation (No-Trade): If the ribbon appears twisted, knotted, or compressed, the market lacks a unified directional vector. • Baseline Interaction: The Triple-Smoothed Baseline acts as a dynamic support/resistance filter. Long positions remain valid only while price sustains above this structure. System Calibration (Settings) • Adaptive Signal Filtering (Prev. Anti-Greed): Enabled by default. This logic automatically raises the required trend slope threshold following consecutive wins to mitigate behavioral bias. • Impulse Sensitivity: Controls the reactivity of the Volatility Core. Higher settings capture faster moves but may introduce more noise. ⚙️ Chapter 6: System Configuration & Alert Guide This section provides a complete breakdown of every adjustable setting within Impulse Reactor to assist you in tailoring the engine to your specific needs. 🌐 LANGUAGE SETTINGS (Localization) ◦ Select Language (Default: English): Function: Instantly translates all chart labels, dashboard texts into your preferred language. Supported: English, Korean, Chinese, Spanish ⚡ IMPULSE CORE SETTINGS (Volatility Engine) ◦ Deviation Lookback (Default: 30): The period used to calculate the standard deviation of volatility. Role: Sets the baseline for normalizing momentum. Higher values make the core smoother but slower to react. ◦ Fast Pulse Length (Default: 10): The short-term ATR period. Role: Detects rapid volatility expansion. ◦ Slow Pulse Length (Default: 30): The long-term ATR baseline. Role: Establishes the background volatility level. The core signal is derived from the divergence between Fast and Slow pulses. 🎯 TP/SL SETTINGS (Risk Management) ◦ SL/TP Fibonacci (Default: 0.786 / 1.618): Selects the Fibonacci ratio used for risk calculation. ◦ SL/TP Multiplier (Default: 1.5 / 2): Applies a multiplier to the ATR-based bands. Role: Expands or contracts the Take Profit and Stop Loss boxes. Increase these values for higher volatility assets (like Altcoins) to avoid premature stop-outs. ◦ ATR Length (Default: 14): The lookback period for calculating the Average True Range used in risk geometry. ◦ Use Soft Stop (Close Basis): Role: If enabled, Stop Loss alerts only trigger if a candle closes beyond the invalidation level. This prevents being stopped out by wick manipulations. 🔊 RIBBON SETTINGS (Momentum Visualization) ◦ Show SMA Ribbon: Toggles the visibility of the 15-layer gradient ribbon. ◦ Ribbon Line Count (Default: 15): The number of SMA lines in the ribbon array. ◦ Ribbon Start Length (Default: 2) & Step (Default: 1): Defines the spread of the ribbon. Role: Controls the "thickness" of the momentum density visualization. A wider step creates a broader ribbon, useful for higher timeframes. 📎 DISPLAY OPTIONS ◦ Show Entry Lines / TP/SL Box / Position Labels / S/R Levels / Dashboard: Toggles individual visual elements on the chart to reduce clutter. ◦ Show SAR+MACD Glow: Enables the secondary confirmation shapes (triangles/circles) above/below candles. 📈 TREND BASELINE (Structural Filter) ◦ Supertrend Factor (Default: 12) & ATR Period (Default: 90): Controls the sensitivity of the underlying Supertrend algorithm used for the baseline calculation. ◦ WMA Length (40) & EMA Length (14): The smoothing periods for the Triple-Smoothed Baseline. ◦ Min Trend Duration (Default: 10): The minimum number of bars the trend must be established before a signal is considered valid. 🧠 SMART EXIT (Dynamic Liquidity) ◦ Use Smart Exit: Enables the momentum exhaustion logic. ◦ Exit Threshold Score (Default: 3): The sensitivity level for triggering a Smart Exit. Lower values trigger earlier exits. ◦ Average Period (168) & Min Hold Bars (5): Defines the rolling window for momentum decay analysis and the minimum duration a trade must be held before Smart Exit logic activates. 🛡️ TRAILING STOP (Step) ◦ Use Trailing Stop: Activates the step-function trailing mechanism. ◦ Step 1 Activation % (0.5) & Offset % (0.5): The price must move 0.5% in your favor to arm the first trail level, which sets a stop 0.5% behind price. ◦ Step 2 Activation % (1) & Offset % (0.2): Once price moves 1%, the trail tightens to 0.2%, securing the position. 🌀 SAR & MACD SETTINGS (Secondary Confirmation) ◦ SAR Start/Increment/Max: Standard Parabolic SAR parameters. ◦ SAR Score Scaling (ATR): Adjusts how much weight the SAR signal has in the overall confluence score. ◦ MACD Fast/Slow/Signal: Standard MACD parameters used for the "Glow" signals. 🔄 ANTI-GREED LOGIC (Behavioral Bias) ◦ Strict Entry after Win: Enables the negative feedback loop. ◦ Strict Multiplier (Default: 1.1): Increases the entry difficulty by 10% after each win. Role: Prevents overtrading and entering at the top of an extended trend. 🌍 HTF FILTER (Multi-Timeframe) ◦ Use Auto-Adaptive HTF Filter: Automatically selects a higher timeframe (e.g., 1H -> 4H) to filter signals. ◦ Bypass HTF on Steep Trigger: Allows an entry even against the HTF trend if the local momentum slope is exceptionally steep (catch powerful reversals). 📉 RSI PEAK & CHOPPINESS ◦ RSI Peak Exit (Instant): Triggers an immediate exit if a sharp RSI pivot (V-shape) is detected. ◦ Choppiness Filter: Suppresses signals if the Choppiness Index is above the threshold (Default: 60), indicating a flat market. 📐 SLOPE TRIGGER LOGIC ◦ Force Entry on Steep Slope: Overrides other filters if the price angle is extremely vertical (high velocity). ◦ Slope Sensitivity (1.5): The angle required to trigger this override. ⛔ FLAT MARKET FILTER (ADX & ATR) ◦ Use ADX Filter: Blocks signals if ADX is below the threshold (Default: 20), indicating no trend. ◦ Use ATR Flat Filter: Blocks signals if volatility drops below a critical level (dead market). 🔔 Alert Configuration Guide Impulse Reactor is designed with a comprehensive suite of alert conditions, allowing you to automate your trading or receive real-time notifications for specific market events. How to Set Up: Click the "Alert" (Clock) icon in the TradingView toolbar. Select "Impulse Reactor " from the Condition dropdown. Choose one of the specific trigger conditions below: 🚀 Entry Signals (Trend Initiation) Long Entry: Trigger: Fires when a confirmed Bullish Setup is detected (Momentum + Volatility + Structure align). Usage: Use this to enter new Long positions. Short Entry: Trigger: Fires when a confirmed Bearish Setup is detected. Usage: Use this to enter new Short positions. 🎯 Profit Taking (Target Levels) Long TP: Trigger: Fires when price hits the calculated Take Profit level for a Long trade. Usage: Automate partial or full profit taking. Short TP: Trigger: Fires when price hits the calculated Take Profit level for a Short trade. Usage: Automate partial or full profit taking. 🛡️ Defensive Exits (Risk Management) Smart Exit: Trigger: Fires when the system detects momentum decay or statistical exhaustion (even if the trend hasn't fully reversed). Usage: Recommended for tightening stops or closing positions early to preserve gains. Overbought / Oversold: Trigger: Fires when the ribbon extends into extreme zones. Usage: Warning signal to prepare for a potential reversal or pullback. 💡 Secondary Confirmation (Confluence) SAR+MACD Bullish: Trigger: Fires when Parabolic SAR and MACD align bullishly with the main trend. Usage: Ideal for Pyramiding (adding to an existing winning position). SAR+MACD Bearish: Trigger: Fires when Parabolic SAR and MACD align bearishly. Usage: Ideal for adding to short positions. ⚠️ Chapter 7: Conclusion & Risk Disclosure Methodological Synthesis Impulse Reactor represents a shift from reactive price tracking to proactive energy analysis. By decomposing market activity into its atomic components — Volatility, Momentum, and Structure — and reconstructing them into a coherent decision model, the system aims to provide a quantitative framework for market engagement. It is designed not to predict the future, but to identify high-probability conditions where kinetic energy and trend structure align. Disclaimer & Risk Warnings ◦ Educational Purpose Only This indicator, including all associated code, documentation, and visual outputs, is provided strictly for educational and informational purposes. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. ◦ No Guarantee of Performance Past performance is not indicative of future results. All metrics displayed on the dashboard (including "Win Rate" and "P&L") are theoretical calculations based on historical data. These figures do not account for real-world trading factors such as slippage, liquidity gaps, spread costs, or broker commissions. ◦ High-Risk Warning Trading cryptocurrencies, futures, and leveraged financial products involves a substantial risk of loss. The use of leverage can amplify both gains and losses. Users acknowledge that they are solely responsible for their trading decisions and should conduct independent due diligence before executing any trades. ◦ Software Limitations The software is provided "as is" without warranty. Users should be aware that market data feeds on analysis platforms may experience latency or outages, which can affect signal generation accuracy.
อินดิเคเตอร์ Pine Script®
โดย ApexLegion
15
Premarket LevelsThis indicator tracks premarket high and low levels for day trading, providing statistical analysis on how often these levels get touched during regular trading hours (9:30 AM-4:00 PM EST). It combines real-time level tracking with historical probability analysis and precise timing statistics to help traders make data-driven decisions. I use 4:00 - 9:30 AM on SPY/QQQ etc and 18:00 - 9:30 on Futures ES/NQ etc Core Features 1. Premarket Level Tracking Automatically identifies and plots premarket high and low levels Displays levels with customizable colors and line styles Shows optional midpoint and percentage/fibonacci retracement levels Tracks when levels are set during premarket session 2. Historical Touch Analysis Calculates probability of PM high/low being touched during regular hours Tracks "Both Levels" touched rate (how often both get hit same day) Tracks "Either Level" touched rate (how often at least one gets hit) Adjustable lookback period (1-250 days) for statistical analysis 3. Timing Intelligence Average time when levels get touched Earliest and latest touch times in historical data Four customizable time buckets showing touch distribution throughout the day First touch time displayed for current session 4. Range Analysis Current PM range vs historical average (adjustable period) Range percentile ranking (where today ranks in historical distribution) Min/Max historical ranges for context Large/small range detection with customizable thresholds Background highlighting for unusual range days 5. Smart Signals & Alerts Buy/Sell signals on level breakouts (adjustable sensitivity) Level rejection detection (failed breakout patterns) Proximity alerts when approaching levels Touch markers (diamond shapes) when levels are tested Multiple alert conditions for various scenarios 6. Risk Management Tools Automatic stop loss suggestions (ATR-based, percentage-based, or fixed points) Target projections based on range extension Position tracking relative to PM range Distance calculations to both levels How To Use For Day Traders: Check the "Either Level" percentage - if 90%+, at least one level will likely be touched Review time bucket statistics - most touches happen 9:30-10:00 AM Monitor "Both Levels" rate - typically only 20-30%, meaning round trips are rare Use range percentile to gauge if expansion or mean reversion is likely For Scalpers: Enable touch markers to see exact level tests Use proximity alerts to prepare for potential bounces Monitor first touch times - early touches often lead to continuations Check rejection signals for quick reversal trades For Swing Position Sizing: Use historical touch rates to assess probability of level tests Review range size vs average for stop placement guidance Check timing analysis to avoid holding through low-probability windows Use target projections for realistic profit targets Settings Overview Basic Settings: Premarket session time (default 4:00-7:30 AM EST) Signal sensitivity for breakout detection Timezone selection for accurate time labels Historical Analysis: Lookback period for statistics (default 20 days, max 250) Toggle touch tracking and markers Enable/disable daily statistics display Range Analysis: Adjustable average period (default 20 days) Large/small range threshold customization Range percentile display toggle Timing Analysis: Three customizable time buckets (default: 10:00, 11:00, 12:00) Fourth bucket automatically covers afternoon (12:00-4:00 PM) Toggle time bucket statistics display Visual Features: Midpoint line display Percentage (25%, 75%) or Fibonacci (23.6%, 38.2%, 61.8%, 78.6%) levels Table position and size customization Comprehensive color scheme customization (background, text, headers) Smart Alerts: Proximity alerts with adjustable threshold Level rejection detection Failed breakout detector Time-of-day filter to avoid lunch chop Risk Management: Stop loss method selection (ATR, PM Range %, Fixed Points) Adjustable ATR multiplier Target projection display Statistics Explained Touch Rates: Percentage of days where level was touched during RTH Based only on FIRST touch per day (not multiple re-tests) Binary metric: Yes/No for each day Timing Stats: All based on timestamp of FIRST touch each day Average, Earliest, Latest provide distribution context Time buckets show concentration of first touches Range Metrics: Current range compared to historical average Percentile shows where today ranks (0-100%) Min/Max provide extreme boundaries from history Important Notes First Touch Only: All statistics track only the first time a level is touched each day, not subsequent re-tests RTH Focus: Touch tracking occurs only during regular trading hours (9:30 AM-4:00 PM EST) Data Accumulation: Historical statistics build over time as indicator runs; requires specified lookback period to populate Chart Timeframe: Works on any timeframe but recommended 3-5 minute charts for best premarket level precision Memory Reset: Each new premarket session resets tracking for fresh daily analysis Best Practices Use 60-100 day lookback for statistical significance Combine high touch rates (80%+) with time bucket data for highest probability setups Small ranges (< 50% of average) often lead to expansion moves Large ranges (> 150% of average) often consolidate or mean-revert First 30 minutes typically contains 50%+ of all level touches After 12:00 PM, probability of untouched levels being hit drops significantly Performance Considerations Optimized for real-time calculation with minimal lag Uses efficient array management for historical data Table updates only on bar close for performance Maximum lookback of 250 days to prevent memory issues This indicator is for educational and informational purposes only. It is NOT financial advice. The buy/sell signals are algorithmic suggestions based on historical patterns and should NOT be followed blindly Past performance and historical statistics do NOT guarantee future results All trading involves substantial risk of loss You are solely responsible for your own trading decisions Always perform your own analysis and risk assessment before entering any trade The creator of this indicator is not responsible for any trading losses incurred from its use No representation is being made that any account will or is likely to achieve profits or losses similar to those discussed in the indicator statistics By using this indicator, you acknowledge that you understand these risks and accept full responsibility for your trading decisions.
อินดิเคเตอร์ Pine Script®
โดย Bostonshamrock
Dark VectorThe Dark Vector is a professional-grade trend-following system designed to solve the two most common causes of trading losses: over-trading during chop and exiting trends too early. Unlike standard indicators that continuously recalculate based on every price tick, this system operates on a strict "State Machine" logic. This means it tracks the current market phase and refuses to issue conflicting signals. If the system is Long, it mathematically cannot issue another Long signal until the previous trend has concluded. The system relies on three core engines: 1. The Trend Architecture (Modified SuperTrend) The backbone of the system is an ATR-based trailing stop mechanism. It creates a dynamic trend line that adjusts to volatility. When volatility expands, the line widens to prevent premature stop-outs during market noise. When volatility contracts, the line tightens to protect profits. 2. The Noise Gate (Choppiness Index) This is the system's safety filter. It measures the fractal efficiency of the market—essentially determining if price is moving in a clear direction or moving sideways. When the market enters a consolidation phase (sideways chop), the Noise Gate activates, turning the candles gray and physically blocking all new entry signals. This prevents the user from entering trades in low-probability environments. 3. The Singularity State Machine This internal logic enforces trading discipline. It treats the trend as a binary state (Bullish or Bearish). It forces an alternating signal pattern, ensuring that you are only alerted to the specific moment a major trend reversal occurs, rather than being bombarded with repetitive signals during a long run. Best Way to Use This System To maximize profitability and minimize false positives, it is recommended to use the "Regime & Alignment" methodology outlined below. 1. The Traffic Light Rule Before placing any trade, observe the color of the candlesticks on the chart: Green Candles: The market is in a confirmed Bullish Impulse. You should only look for Long entries or hold existing positions. Shorting is statistically dangerous here. Red Candles: The market is in a confirmed Bearish Impulse. You should only look for Short entries or hold cash. Buying the dip here is high-risk. Gray Candles: The market is in a Chop/Squeeze regime. The Noise Gate is active. Do not open new positions. This indicates indecision, and the market is likely to destroy option premiums or stop out tight leverage. Wait for the candles to return to Green or Red before acting. 2. The Entry Trigger Enter a trade only when a text label (LONG or SHORT) appears. Long Signal: Occurs when price closes above the Trend Line AND the market is not in a Chop zone. Short Signal: Occurs when price closes below the Trend Line AND the market is not in a Chop zone. 3. The Exit Strategy There are two ways to manage the trade once active: The Trend Follower (Conservative): Hold the position until the Trend Line flips color. This captures the maximum duration of the move but may give back some profit at the very end. The Stop Loss (Active): The Trend Line (the white value in your dashboard) acts as your Trailing Stop. If a candle closes beyond this line, the trend is technically invalidated. You should exit immediately. 4. Multi-Timeframe Alignment (The Golden Rule) The highest win rates are achieved when your trading timeframe aligns with the higher-order trend. Step 1: Check the 4-Hour chart. Is the Trend Line Green? Step 2: Switch to the 15-Minute chart. Step 3: Only take the LONG signals on the 15-Minute chart. Ignore all Short signals. Reasoning: Counter-trend trades often fail. By trading only in the direction of the higher timeframe, you are swimming with the current, not against it. Recommended Settings by Style Swing Trading (Daily/4H): Keep the Trend Factor at 4.0. This ignores daily noise and keeps you in the trade for weeks or months. Day Trading (1H/15m): Lower the Trend Factor to 3.0. This makes the system more reactive to intraday reversals. Scalping (5m): Lower the Trend Factor to 2.0 and the ATR Length to 7. This is aggressive and requires strict adherence to the Stop Loss. Disclaimer This indicator is for educational and informational purposes only. It does not constitute financial advice, investment advice, or a recommendation to buy or sell any asset. Trading cryptocurrencies, stocks, and futures involves a high degree of risk and the potential for significant financial loss. The user assumes all responsibility for their trading decisions. Past performance of any system or indicator is not indicative of future results. Always practice risk management and never trade with money you cannot afford to lose.
อินดิเคเตอร์ Pine Script®
โดย DarkPoolCrypto
5
RSI adaptive zones [AdaptiveRSI]This script introduces a unified mathematical framework that auto-scales oversold/overbought and support/resistance zones for any period length. It also adds true RSI candles for spotting intrabar signals. Built on the Logit RSI foundation, this indicator converts RSI into a statistically normalized space, allowing all RSI lengths to share the same mathematical footing. What was once based on experience and observation is now grounded in math. ✦ ✦ ✦ ✦ ✦ 💡 Example Use Cases RSI(14): Classic overbought/oversold signals + divergence Support in an uptrend using RSI(14) Range breakouts using RSI(21) Short-term pullbacks using RSI(5) ✦ ✦ ✦ ✦ ✦ THE PAST: RSI Interpretation Required Multiple Rulebooks Over decades, RSI practitioners discovered that RSI behaves differently depending on trend and lookback length: • In uptrends, RSI tends to hold higher support zones (40–50) • In downtrends, RSI tends to resist below 50–60 • Short RSIs (e.g., RSI(2)) require far more extreme threshold values • Longer RSIs cluster near the center and rarely reach 70/30 These observations were correct — but lacked a unifying mathematical explanation. ✦ ✦ ✦ ✦ ✦ THE PRESENT: One Framework Handles RSI(2) to RSI(200) Instead of using fixed thresholds (70/30, 90/10, etc.), this indicator maps RSI into a normalized statistical space using: • The Logit transformation to remove 0–100 scale distortion • A universal scaling based on 2/√(n−1) scaling factor to equalize distribution shapes As a result, RSI values become directly comparable across all lookback periods. ✦ ✦ ✦ ✦ ✦ 💡 How the Adaptive Zones Are Calculated The adaptive framework defines RSI zones as statistical regimes derived from the Logit-transformed RSI . Each boundary corresponds to a standard deviation (σ) threshold, scaled by 2/√(n−1), making RSI distributions comparable across periods. This structure was inspired by Nassim Nicholas Taleb’s body–shoulders–tails regime model: Body (±0.66σ) — consolidation / equilibrium Shoulders (±1σ to ±2.14σ) — trending region Tails (outside of ±2.14σ) — rare, high-volatility behavior Transitions between these regimes are defined by the derivatives of the position (CDF) function : • ±1σ → shift from consolidation to trend • ±√3σ → shift from trend to exhaustion Adaptive Zone Summary Consolidation: −0.66σ to +0.66σ Support/Resistance: ±0.66σ to ±1σ Uptrend/Downtrend: ±1σ to ±√3σ Overbought/Oversold: ±√3σ to ±2.14σ Tails: outside of ±2.14σ ✦ ✦ ✦ ✦ ✦ 📌 Inverse Transformation: From σ-Space Back to RSI A final step is required to return these statistically normalized boundaries back into the familiar 0–100 RSI scale. Because the Logit transform maps RSI into an unbounded real-number domain, the inverse operation uses the hyperbolic tangent function to compress σ-space back into the bounded RSI range. RSI(n) = 50 + 50 · tanh(z / √(n − 1)) The result is a smooth, mathematically consistent conversion where the same statistical thresholds maintain identical meaning across all RSI lengths, while still expressing themselves as intuitive RSI values traders already understand. ✦ ✦ ✦ ✦ ✦ Key Features Mathematically derived adaptive zones for any RSI period Support/resistance zone identification for trend-aligned reversals Optional OHLC RSI bars/candles for intrabar zone interactions Fully customizable zone visibility and colors Statistically consistent interpretation across all markets and timeframes Inputs RSI Length — core parameter controlling zone scaling RSI Display : Line / Bar / Candle visualization modes ✦ ✦ ✦ ✦ ✦ 💡 How to Use This indicator is a framework , not a binary signal generator. Start by defining the question you want answered, e.g.: • Where is the breakout? • Is price overextended or still trending? • Is the correction ending, or is trend reversing? Then: Choose the RSI length that matches your timeframe Observe which adaptive zone price is interacting with Interpret market behavior accordingly Example: Long-Term Trend Assesment using RSI(200) A trader may ask: "Is this a long term top?" Unlikely, because RSI(200) holds above Resistance zone , therefore the trend remains strong. ✦ ✦ ✦ ✦ ✦ 👉 Practical tip: If you used to overlay weekly RSI(14) on a daily chart (getting a line that waits 5 sessions to recalculate), you can now read the same long-horizon state continuously : set RSI(70) on the daily chart (~14 weeks × 5 days/week = 70 days) and let the adaptive zones update every bar . Note: It won’t be numerically identical to the weekly RSI due to lookback period used, but it tracks the same regime on a standardized scale with bar-by-bar updates. ✦ ✦ ✦ ✦ ✦ Note: This framework describes statistical structure, not prediction. Use as part of a complete trading approach. Past behavior does not guarantee future outcomes. framework ≠ guaranteed signal --- Attribution & License This indicator incorporates: • Logit transformation of RSI • Variance scaling using 2/√(n−1) • Zone placement derived from Taleb’s body–shoulders–tails regime model and CDF derivatives • Inverse TANH(z) transform for mapping z-scores back into bounded RSI space Released under CC BY-NC-SA 4.0 — free for non-commercial use with credit. © AdaptiveRSI
อินดิเคเตอร์ Pine Script®
โดย AdaptiveRSI
19
Regime [CHE] Regime — Minimal HTF MACD histogram regime marker with a simple rising versus falling state. Summary Regime is a lightweight overlay that turns a higher-timeframe-style MACD histogram condition into a simple regime marker on your chart. It queries an imported core module to determine whether the histogram is rising and then paints a consistent marker color based on that boolean state. The output is intentionally minimal: no lines, no panels, no extra smoothing visuals, just a repeated marker that reflects the current regime. This makes it useful as a quick context filter for other signals rather than a standalone system. Motivation: Why this design? A common problem in discretionary and systematic workflows is clutter and over-interpretation. Many regime tools draw multiple plots, which can distract from price structure. This script reduces the regime idea to one stable question: is the MACD histogram rising under a given preset and smoothing length. The core logic is delegated to a shared module to keep the indicator thin and consistent across scripts that rely on the same definition. What’s different vs. standard approaches? Reference baseline: A standard MACD histogram plotted in a separate pane with manual interpretation. Architecture differences: Uses a shared library call for the regime decision, rather than re-implementing MACD logic locally. Uses a single boolean output to drive marker color, rather than plotting histogram bars. Uses fixed marker placement at the bottom of the chart for consistent visibility. Practical effect: You get a persistent “context layer” on price without dedicating a separate pane or reading histogram amplitude. The chart shows state, not magnitude. How it works (technical) 1. The script imports `chervolino/CoreMACDHTF/2` and calls `core.is_hist_rising()` on each bar. 2. Inputs provide the source series, a preset string for MACD-style parameters, and a smoothing length used by the library function. 3. The library returns a boolean `rising` that represents whether the histogram is rising according to the library’s internal definition. 4. The script maps that boolean to a color: yellow when rising, blue otherwise. 5. A circle marker is plotted on every bar at the bottom of the chart, colored by the current regime state. Only the most recent five hundred bars are displayed to limit visual load. Notes: The exact internal calculation details of `core.is_hist_rising()` are not shown in this code. Any higher timeframe mechanics, security usage, or confirmation behavior are determined by the imported library. (Unknown) Parameter Guide Source — Selects the price series used by the library call — Default: close — Tips: Use close for consistency; alternate sources may shift regime changes. Preset — Chooses parameter preset for the library’s MACD-style configuration — Default: 3,10,16 — Trade-offs: Faster presets tend to flip more often; slower presets tend to react later. Smoothing Length — Controls smoothing used inside the library regime decision — Default: 21 — Bounds: minimum one — Trade-offs: Higher values typically reduce noise but can delay transitions. (Library behavior: Unknown) Reading & Interpretation Yellow markers indicate the library considers the histogram to be rising at that bar. Blue markers indicate the library considers it not rising, which may include falling or flat conditions depending on the library definition. (Unknown) Because markers repeat on every bar, focus on transitions from one color to the other as regime changes. This tool is best read as context: it does not express strength, only direction of change as defined by the library. Practical Workflows & Combinations Trend following: Use yellow as a condition to allow long-side entries and blue as a condition to allow short-side entries, then trigger entries with your primary setup such as structure breaks or pullback patterns. (Optional) Exits and stops: Consider tightening management after a color transition against your position direction, but do not treat a single flip as an exit signal without price-based confirmation. (Optional) Multi-asset and multi-timeframe: Keep `Source` consistent across assets. Use the slower preset when instruments are noisy, and the faster preset when you need earlier context shifts. The best transferability depends on the imported library’s behavior. (Unknown) Behavior, Constraints & Performance Repaint and confirmation: This script itself uses no forward-looking indexing and no explicit closed-bar gating. It evaluates on every bar update. Any repaint or confirmation behavior may come from the imported library. If the library uses higher timeframe data, intrabar updates can change the state until the higher timeframe bar closes. (Unknown) security and HTF: Not visible here. The library name suggests HTF behavior, but the implementation is not shown. Treat this as potentially higher-timeframe-driven unless you confirm the library source. (Unknown) Resources: No loops, no arrays, no heavy objects. The plotting is one marker series with a five hundred bar display window. Known limits: This indicator does not convey histogram magnitude, divergence, or volatility context. A binary regime can flip in choppy phases depending on preset and smoothing. Sensible Defaults & Quick Tuning Starting point: Source: close Preset: 3,10,16 Smoothing Length: 21 Tuning recipes: Too many flips: choose the slower preset and increase smoothing length. Too sluggish: choose the faster preset and reduce smoothing length. Regime changes feel misaligned with your entries: keep the preset, switch the source back to close, and tune smoothing length in small steps. What this indicator is—and isn’t This is a minimal regime visualization and a context filter. It is not a complete trading system, not a risk model, and not a prediction engine. Use it together with price structure, execution rules, and position management. The regime definition depends on the imported library, so validate it against your market and timeframe before relying on it. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino MACD HTF Hardcoded
อินดิเคเตอร์ Pine Script®
โดย chervolino
RT-Main IndicatorThe RT-Main Indicator is the core indicator that started it all. Developed over more than 5 years, this all in one tool helps traders identify when market participants are buying and selling using multi-colored candles that update in real time. It also identifies key support and resistance levels with Rainbow Pivots and highlights unusual price movements with Whale Print arrows. At its core, the RT-Main Indicator tracks buying and selling with eight colors instead of two, because real world markets are complex and order flow should not be treated as purely binary(Red vs Green). Introduction The RT-Main Indicator is designed as a primary Rainbow Theory Tool. It uses color coded candles to show changes in strength, Rainbow Pivots to mark important support and resistance areas, and Whale Prints to flag abnormal buy and sell activity. The goal is to bring these components together into a single framework so traders can read trend, structure, and larger player behavior without stacking many separate indicators. This tutorial will cover each aspect of the tool: Colored Candles Whales are stealth experts and their strength is their ability to not be detected as they move the market. Rainbow Theory illuminates them from the shadows with a spectrum of specifically coded colors to display their unique strengths/weaknesses. In practice, this means the RT-Main Indicator uses internal strength and exhaustion metrics to color candles so that shifts in buying and selling pressure are easier to see. The base of the RT-Main Indicator is the colored candles it paints onto the chart. These colors automatically tune to the chart based on the timeframe the trader is currently using (1D, H12, H1, 15M, etc). Instead of painting charts with a single Bullish Color (Green) and a single Bearish Color (Red), Rainbow Theory breaks out and identifies these moves into four Bearish Colors (Red|Orange|Yellow|White) and four Bullish Colors (Green|Blue|Purple|Pink). Each color tells a different story of the trend and helps traders better understand the nature of the current trend. Bullish Colors #4 - Green Candles - Weakest bullish color, these trends can sustain for extended periods of time. #3 - Blue Candles - Strong bullish color, a move is starting to develop and can sustain. #2 - Purple Candles - Second strongest bullish color, Whales are committed to the move but cannot sustain this level of momentum for long durations and a top is near. #1 - Pink Candles - Strongest bullish color, Whales are using every single ounce of energy they have to push price up, the trend cannot be sustained and its time to take profits. Bearish Colors #4 - Red Candles - Weakest bearish color, these trends can sustain for extended periods of time. #3 - Orange Candles - Strong bearish color, a move is starting to develop and can sustain. #2 - Yellow Candles - Second strongest bearish color, Whales are committed to the move but cannot sustain this level of momentum for long durations and a bottom is near. #1 - White Candles - Strongest bearish color, Whales are using every single ounce of energy they have to push price down into all out capitulation, the trend cannot be sustained and its time to look for entries. How To Enable Colored Candles By default, the Indicator’s Candles are placed behind the default candles. To properly display them, you must bring them forward. To do this, click the settings icon on the indicator, click visual order and then click bring to front: Example - Bringing all the colors together into a Bearish Trend that reverses into a Bullish Trend: The color thresholds can be tuned using the following options: Automatic Tuning On/Off - Enables or disables the automatic color tuning that adjusts for each timeframe. Auto Tuning Gain (Inc/Dec) - Increases or decreases how aggressive the automatic tuning algorithm adjusts color tuning. Manual Fine Tuning - Linear Color Shift - Manually controls the linear sensitivity for color candle thresholds. This can be visualized as a setting being adjusted up or down in a straight, linear fashion. Linear Color Shift Manual Fine Tuning - Exponential Color Shift - Manually controls the exponential sensitivity for color candle thresholds. This can be visualized as a setting being adjusted in an exponential manner where each level moves in an exponential shift instead of all moving equally. Exponential Color Shift Dark Mode Some traders prefer light colored backgrounds for their charting, which can make white candles difficult to see. The RT-Main Indicator includes a Dark Mode toggle so colors stay readable on both dark and light charts. Dark Mode Candles On/Off - Forces the indicator to use the second color set stored in the Style tab in the RT-Main Indicator settings when using light backgrounds. The White/Black Candle can also have a custom color applied if the trader is not content with these two default options. Custom Candle Colors In addition to toggling between light and dark modes, each individual color used by the RT-Main Indicator can be edited in the Style tab. This allows traders to keep the same logic while adjusting the visual palette to match their own chart layout. Rainbow Rotations Rainbow Rotations are a feature traders use to catch reversals or reversions when a trend fully blows out. The algorithm triggers on the first weaker candle that closes after a Pink or White candle prints. The general idea of this event is to show peaks and valleys of an asset. In a strong bearish move, White candles mark extreme selling. If a weaker Yellow candle appears after a White candle, that first weaker candle is where the rotation event triggers and a Rainbow Rotation marker is placed on the chart. In a strong bullish move, Pink candles mark extreme buying. The first weaker bullish candle after a Pink candle triggers the opposite side rotation marker. Note that Rainbow Rotations can only be visible for a finite amount of candles. The Replay function in TradingView can be used to review previous triggers. Rainbow Rotation settings are available near the top of the settings menu: Rainbow Rotation Alerts On/Off - Toggles these signals on or off with one click. Rainbow Rotation Symbol - Customizes the symbol that is plotted on the chart for Rainbow Rotations. Both text and emojis can be used instead of the default symbol. Rainbow Rotation Alerts Rainbow Rotations can also be automated with standard TradingView alerts. To set this up: Click the Alert icon on the right side of the screen. Change Condition to the RT-Main Indicator. Change the second condition to one of the three options: Bullish Alerts | Bearish Alerts | Bearish and Bullish Alerts Set Trigger to Once Per Bar Close. Once set up, this allows traders to be notified when the RT-Main Indicator detects an extreme bullish or bearish trend that is starting to reverse. Automated Pivots One of the RT-Main Indicator's most powerful functions is the automated support and resistance pivots. This logic uses two internal bots that are tuned to look for potential support and resistance order blocks. The Resistance Pivot Bot prints lines that are painted with red dashes. The Support Pivot Bot prints lines that are painted with green dashes. Regardless of the color of the dashed pivot line, any trend that approaches a pivot should be respected. For example, a trend moving up towards a green support pivot should still treat that area as resistance if price is approaching from below. As the algorithm continues to print additional pivots on the chart, traders can start identifying order blocks that are otherwise hidden in the price action. These order blocks are key support and resistance areas that trends will often interact with and respect. Multiple stacked pivots in the same region are a visual clue that such an order block has formed. Pivots can be tuned with the following options: Pivot On/Off - Quickly toggles all pivots on or off. Pivot Style - Switches between different styles of marking pivots. Pivot Sensitivity (Inc/Dec) - Tunes the sensitivity of the pivot algorithms. Adjusting this changes how many pivots are printed on the chart. Pivot Line Drawing Length - Controls how long the indicator draws the pivot lines. Resistance / Support Pivot Colors - Allows customization of pivot colors to match the rest of the chart. Whale Prints One of the most important parts of the RT-Main Indicator is tracking Whale Prints. This portion of the script looks for abnormal buys and sells that are more consistent with large players than typical flow. Under normal circumstances, whales try to avoid being visible when they buy or sell, but there are times where they are forced to come out of hiding and deliberately move the market. The Whale Print logic is tuned to notify the trader when it detects that this type of unusual activity may be occurring. Bearish Whale Prints are marked on the chart with a red triangle. Bullish Whale Prints are marked on the chart with a green triangle. Whale Print clusters are situations where multiple Whale Prints have been identified in the past 10 candles. While individual Whale Prints are useful, clusters of Whale Prints are particularly important because they often signal that a very large move is potentially being prepared/defended. The Whale Print table is an active tracker that counts the number of bullish and bearish Whale Prints that have occurred in the past 10 candles. Whale Print settings can be tuned with: Whale Print Clusters Table On/Off - Toggles the Whale Print table on or off with one click. Whale Print Clusters Alerts On/Off - Toggles the Whale Print cluster symbol on or off. Whale Print Cluster Symbol - Changes the symbol on the chart for Whale Clusters. Emojis and text can both be used instead of the default symbol. Whale Print Cluster Bullish/Bearish Label Color - Customizes the color of the Whale Print cluster labels on the chart. Whale Print Cluster Alerts Whale Print Cluster alerts can be automated with standard TradingView alerts. To set this up: Click the Alert icon on the right side of the screen. Change Condition to the RT-Main Indicator. Change the second condition to one of the two options: Bull Whale Cluster Alert | Bear Whale Cluster Alert Set Trigger to Once Per Bar Close. Once set up, this allows traders to be notified when the RT-Main Indicator detects a Whale Print Cluster. Bull/Bear Trend Step Line The inflection point of the colored candles is controlled by the Bull/Bear Trend Step Line. This is the grey stepped line on the chart where the bullish and bearish colors meet. Candles above this line are marked by the four bullish candle colors. Candles below this line are marked by the four bearish candle colors. The Bull/Bear Trend Step Line can be tuned with: Bull/Bear Line Offset - Controls a vertical threshold for the line. Bull/Bear Line Smoothness - Controls the sensitivity and smoothness of the line so traders can fine tune it for their specific setups. Most traders do not adjust the Bull/Bear Step Line. The small group that does typically only use these settings for lower timeframe trading setups below 5 minute candles. If preferred, the line can be recolored or hidden from the Style tab of the RT-Main Indicator without changing how the core color logic works. Important Note The RT-Main Indicator is intended to provide additional context around trend strength, exhaustion, and key areas of support and resistance. It is not a standalone signal generator and should always be used together with your own analysis, testing, and risk management. Historical color patterns, pivots, and Whale Prints do not guarantee future results. 🐋 Tight lines and happy trading!
อินดิเคเตอร์ Pine Script®
โดย RainbowRunner144
CVD Smart ReversalCVD Smart Reversal - Indicator Description ═══════════════════════════════════════════════════════════════ 🎯 OVERVIEW Advanced reversal detection system based on Cumulative Volume Delta (CVD) analysis with intelligent quality filtering. Each signal is rated 1-5 stars based on multiple confirmation factors. ═══════════════════════════════════════════════════════════════ 🌟 KEY FEATURES 1. Quality Score System (⭐1-5) • 5 independent criteria evaluate each signal • Filter weak setups - show only 3+ star signals • Higher scores = higher probability setups 2. Adaptive Thresholds • Automatically adjusts to market volatility • High volatility = stricter criteria • Works across all market conditions 3. Volume Context Analysis • Compares current vs historical volume • Calculates buy/sell pressure (requires >60%) • Filters reversals with weak volume 4. Multi-Timeframe Confirmation (Optional) • Validates signals on higher timeframe • Ensures trading with the trend • Reduces counter-trend entries 5. Smart Signal Management • Minimum 5-bar spacing between signals • Automatic label cleanup (max 20) • Clean chart, no clutter ═══════════════════════════════════════════════════════════════ 📊 HOW IT WORKS CVD Calculation: Custom volume delta calculation using intrabar polarity estimation. Signal Detection: Combines CVD reversal, candlestick patterns (Hammer, Shooting Star, Engulfing, Pin Bar), and divergence analysis. Quality Scoring: Each signal scores 0-5 points based on: • CVD strength (statistical deviation) • Pattern quality (professional recognition) • Divergence presence • Volume context (ratio + pressure) • Trend confirmation (MTF or acceleration) ═══════════════════════════════════════════════════════════════ 🎮 USAGE MODES Sniper Mode (High Quality): • Min Score: 4-5 stars • MTF: ON • Result: 2-5 signals/day, highest win-rate Active Mode (Balanced): • Min Score: 3 stars • MTF: OFF • Result: 5-15 signals/day, good balance Scalping Mode (High Frequency): • Min Score: 2 stars • Divergence: Weak • Result: Many signals, fast execution needed ═══════════════════════════════════════════════════════════════ 💡 BEST PRACTICES • Use on liquid markets with reliable volume data • Combine with key support/resistance levels • Pay attention to quality scores - 4-5★ have significantly higher success • Enable MTF confirmation for intraday trading • Use stricter settings during high-impact news events ═══════════════════════════════════════════════════════════════ ⚙️ DEFAULT SETTINGS • Quality Filter: ON • Minimum Score: 3 stars • MTF Confirmation: OFF • Volume Analysis: ON • Divergence Strength: Medium These settings provide 5-15 quality signals per day on active instruments. ═══════════════════════════════════════════════════════════════ 🔔 ALERTS Four alert types available: • Strong Bullish Reversal (4-5★ only) • Strong Bearish Reversal (4-5★ only) • Regular Bullish Reversal (all qualified) • Regular Bearish Reversal (all qualified) ═══════════════════════════════════════════════════════════════ ⚠️ LIMITATIONS • Requires volume data (not suitable for markets without volume) • MTF confirmation adds lag by design • Lower timeframes may need adjusted settings • Quality filter reduces signal frequency by design ═══════════════════════════════════════════════════════════════ 🎯 ORIGINALITY This indicator combines multiple unique elements: • Multi-factor quality scoring (not found in other CVD tools) • Adaptive volatility-based thresholds • Volume pressure calculation with directional filter • Integrated MTF confirmation within scoring system • Smart label management with automatic cleanup The quality scoring system transforms CVD analysis from binary signals into a ranked opportunity system, allowing traders to prioritize setups based on confluence strength. ═══════════════════════════════════════════════════════════════ 📈 DISPLAY ELEMENTS • Background highlighting on signal bars • Triangle markers at entry points • Labels showing CVD, Delta, Divergence, Quality Score, Volume flag • Real-time info panel with CVD metrics • Clean visual presentation ═══════════════════════════════════════════════════════════════ ✅ SUITABLE FOR • Crypto (BTC, ETH, etc.) • Stocks (AAPL, TSLA, SPY, etc.) • Futures (ES, NQ, CL, etc.) • Forex (brokers with volume data) • All timeframes (1m to 1D) ═══════════════════════════════════════════════════════════════
อินดิเคเตอร์ Pine Script®
โดย Smart-Day-Trader