Mulai

Siklus

Trend-cycle reversion (multi-timeframe)Trend-cycle reversion (multi-timeframe) is a mean-reversion “stretch” gauge built around a simple idea: price often deviates from its recent path (trend + dominant swing rhythm), and those deviations become more actionable when you scale them by volatility and express them as a standardized score. This script models the last N bars as: 1) a linear trend (to capture drift), plus 2) a single dominant cycle (to capture the most prominent oscillation inside the same window). It then measures how far current price is from the model’s next-bar projection, normalizes that distance by ATR (volatility), and finally converts the result into a rolling Z-score. The output is displayed as a multi-timeframe dashboard so you can see “stretch vs. fit” across several time compressions at once. ------------------------------------------------------------ What you see on the chart ------------------------------------------------------------ The indicator draws a table (overlay) with up to 12 rows (configurable), one per timeframe from your CSV list. Each row shows: • TF: The timeframe being evaluated (e.g., 1, 5, 15, 60, 240, D). • Z: The current Z-score of the volatility-scaled model gap on that timeframe. • State: A simple interpretation using your Z threshold: - “Short ▼” when Z > +threshold (price is extended above the model path) - “Long ▲” when Z < −threshold (price is extended below the model path) - “Hold •” when inside the band (not unusually stretched) Colors follow the same logic: red for high positive Z, green for high negative Z, gray when neutral or unavailable. Important: “Long/Short” here describes the direction of mean-reversion pressure (over/under the fitted path), not a complete trading system by itself. ------------------------------------------------------------ How it works (plain-English math) ------------------------------------------------------------ 1) Optional log transform If “Fit on log(price)” is enabled, the model runs on log(price) instead of raw price. This is often useful for markets that behave multiplicatively (large percentage moves, long-term exponential growth), because distances become closer to “percent-like” rather than absolute dollars. 2) Trend fit (linear regression in the window) Over the last Window Length bars, the script estimates a straight-line trend. Think of this as the baseline path that best explains the window if you ignore swings. 3) Cycle search (best period by least-squares error) After removing the linear trend, the script searches for a single sinusoidal cycle period between: • Min Period and Max Period (in bars), stepping by Period Step. For each candidate period, it computes the best-fitting sine+cosine components and measures the remaining error (SSE). The period with the smallest SSE is selected as the “best” cycle for that window. To reduce recalculation cost and to keep the chosen cycle from flapping every bar, the script re-runs this period search only every “Re-search best period every N bars”. Between searches, it keeps using the last best period. 4) Next-bar projection and “gap” Using the fitted trend + fitted cycle, the script projects the model value one bar ahead (relative to the window indexing). It then computes: gap = (current value) − (projected value) If “Invert sign” is enabled, the gap is multiplied by −1. This doesn’t change magnitude, it only flips interpretation (useful if you prefer the opposite sign convention). 5) Volatility scaling via ATR The raw gap is divided by ATR to make it comparable across symbols and regimes. If you are fitting on log(price), ATR is also computed in log space using a log-based true range, then smoothed similarly (so the scale is consistent). This produces a “gap in ATR units”. 6) Z-score standardization Finally, the script computes a rolling Z-score of the ATR-scaled gap over “Z-score length”: Z = (gapATR − mean(gapATR)) / stdev(gapATR) This is what appears in the table. The Z-score answers: “How unusual is today’s model deviation compared to the last Z-score length observations?” ------------------------------------------------------------ How to interpret the Z-score ------------------------------------------------------------ Z near 0: Price is close to the model path relative to recent volatility (nothing unusual). Z above +threshold: Price is meaningfully ABOVE the fitted path (stretched up). This can be read as elevated downside mean-reversion pressure — but it can also persist during strong trends. Z below −threshold: Price is meaningfully BELOW the fitted path (stretched down). This can be read as elevated upside mean-reversion pressure — but it can also persist during fast selloffs. A practical way to use this indicator is to treat it as a “context filter” or “risk tool”: • Fading extremes: look for mean-reversion setups when Z is beyond the threshold and price action confirms (e.g., momentum stalls, structure breaks, volatility contraction/expansion cues). • Trend-aware reversion: only take “reversion” signals in the direction permitted by your separate trend filter (higher-timeframe trend, moving average regime, market structure, etc.). • Take-profit / risk management: in a trend-following strategy, extremes can be used as partial profit zones or as “don’t chase here” warnings. ------------------------------------------------------------ Multi-timeframe (MTF) notes ------------------------------------------------------------ Each table row is computed with request.security() on that timeframe with no lookahead, so it is not using future bars to form the value. However, like any live indicator, the value for an actively forming bar can change until that bar closes (especially on the lower timeframes). Also, higher-timeframe rows update when that higher-timeframe bar updates/closes. ------------------------------------------------------------ Inputs (what to change first) ------------------------------------------------------------ If you only change a few settings, start here: • Window Length: Controls how much history the model uses. Larger = smoother/stabler, but slower to adapt. • Min/Max Period + Step: Controls the cycle search range and granularity. - Wider ranges can capture more possibilities but cost more computation. - Smaller steps can find a closer match but also cost more. • Re-search every N bars: Higher = faster performance and more stability; lower = more adaptive but can be noisier. • ATR length (scale gap): Controls the volatility scale. Shorter reacts faster to volatility changes; longer is steadier. • Z-score length: Controls how “rare” extremes are. Longer lengths make Z more stable, but require more history and adapt slower to regime shifts. • Z threshold: Defines when the table labels “Long/Short”. Common choices are 1.5–2.5 depending on how selective you want extremes to be. • Timeframes (CSV) + Max table rows: Controls what you see in the dashboard. ------------------------------------------------------------ Limitations and expectations ------------------------------------------------------------ This is a single-cycle, windowed model. Markets can be multi-cycle, non-sinusoidal, or structurally shifting; in those cases the “best period” is simply the best approximation inside the window, not a guarantee of a true underlying rhythm. Z-score extremes are not automatic reversal calls. In strong trends or during volatility shocks, Z can stay extreme longer than expected. Use this as a measurement tool, then combine it with your own confirmation and risk management. This indicator is for analysis/education and does not provide financial advice.
Indikator Pine Script®
oleh Tradenometry
Joker 20The 20% Range Strategy is a rule-based swing trading approach designed to capture price reversals and breakouts within a stock’s defined yearly range. This strategy works best in range-bound or mildly trending markets and focuses on high-probability entries near extreme price zones. 🔍 Concept The strategy uses the 52-week High and 52-week Low as reference points. The total price range between these two levels is divided. A 20% band from the top and bottom of the range is marked as key decision zones. 📉 Buy Setup (Lower 20% Zone) When the stock price enters the lower 20% of its 52-week range, it indicates potential undervaluation or strong support. Entry: Buy on the next candle after price touches or confirms support in the lower zone. Logic: Risk is limited because price is already near long-term support.
Indikator Pine Script®
oleh Anurag1123
Double Top/Bottom Auto Highlighter - Gate SymbolsAutomatically spots classic reversal patterns with intuitive gate symbols: • Double Bottom (bullish W-shape) → 🚪🔓 (gate open – opportunity unlocked) • Double Top (bearish M-shape) → 🚪🔒 (gate closed – resistance holding) Features: • Pivot-based detection with adjustable lookback & tolerance • Subtle background highlights (green/red) when pattern forms • Toggleable gate symbols – clean and meaningful • Very lightweight – no clutter, perfect for gold, silver, futures How to use: - 🚪🔓 after a sell-off → potential long/bounce setup - 🚪🔒 after a rally → potential short/resistance play - Combine with volume spikes or your WC Cross Clouds for stronger signals Tweak pivot length (5–10) and tolerance (0.3–0.8%) to match your timeframe. Open source – feel free to use, modify or expand! dove– Chesapeake, VA
Indikator Pine Script®
oleh dovetIlflenkydove
BTC/M2 Fire Sniffer (Liquidity Range Z-Score)Howdy Fella. Great to see you here, exploring the true data in CRYPTOCAP:BTC analysis. To ensure a perfect view on the markets, here are a few tips on how to fine tune the Fire Sniffer: - Z-Score Lookback: 40 - Liquidity Ratio SuperSmoother Length: 8 - Z-score SuperSmoother Length: 132 Set the ranges as following: Mean: -0.53 Liquidity Cycle Top: 0.8 Liquidity Cycle Bottom: -0.65 With that, you are set to go. Enjoy and make sure to let me know your thoughts on the script. You can contact me on X: @thebitcoinfrontier
Indikator Pine Script®
oleh CL24
Day SeparatorTitle: Professional Day Separator & Custom Session Labels Description: This indicator is a clean and essential tool for intraday traders (M1, M5, M15) who need a clear visual separation between trading days. Unlike the standard TradingView period breaks, this script allows full control over the appearance and the exact timing of the separators to match your broker's server time. Key Features: Deep Black Vertical Lines: High-contrast separators for better chart clarity. Customizable Thickness: Adjust the line width to suit your visual preference and chart background. Custom Session Start: Perfect for traders whose "day" starts at a specific time (e.g., 23:00) due to broker offsets or specific session focus. Centered Day Labels: Day-of-the-week labels (M O N, T U E, etc.) are placed at the bottom of the chart and can be perfectly centered between the separators. Stability: Built using Pine Script V5 with absolute vertical alignment logic to prevent "leaning" or horizontal line glitches. How to use: Line Thickness: Adjust the "Linien Dicke" in the settings to make separators more or less prominent. Align to Broker Time: If your broker starts the new daily candle at 23:00, simply set the "Tagesbeginn" to 23. The separator will then snap to that exact candle. Perfect Label Centering: Use the "Label Stunde" slider to move the day labels left or right until they are centered between your lines (usually around 11:00 or 12:00 depending on your offset). Why use this? Standard session breaks often look cluttered or don't align with local time zones/broker sessions. This script keeps your chart professional and ensures you always know exactly which day of the week you are trading.
Indikator Pine Script®
oleh Kerem1043
Educational Trend Direction (Up & Down)🔍 Overview This indicator is designed to visually represent trend direction and trend transitions using a simple moving-average relationship. It is built strictly for educational and analytical purposes, allowing users to observe how price behaves during upward and downward market phases without relying on trading signals or predictions. The indicator focuses on trend context, not trade execution. ⚙️ How the Indicator Works The script calculates two exponential moving averages: A fast trend line that reacts quickly to recent price changes A slow trend line that represents broader market direction Trend direction is determined by the relative position of these two lines. When the fast line moves above the slow line, the market is considered to be in an upward trend phase When the fast line moves below the slow line, the market is considered to be in a downward trend phase This relationship helps visualize trend shifts and momentum changes in a simple and intuitive way. 🎨 Visual Components Explained 🟢 Green Trend Line Represents the fast moving average during upward trend phases Indicates that price is maintaining strength relative to the broader trend Color reflects trend direction only, not confirmation or entry 🔴 Red Trend Line Represents the fast moving average during downward trend phases Indicates sustained weakness relative to the broader trend Color does not imply selling or future continuation ⚪ Grey Trend Line Represents the slow moving average Acts as a baseline trend reference Helps distinguish between short-term fluctuations and broader direction 🎨 Background Shading Light green shading appears during upward trend environments Light red shading appears during downward trend environments Background color provides context only and does not signal market actions 🎯 Purpose & Benefits Helps identify trend phases in a clear and minimal way Improves understanding of trend transitions and momentum shifts Reduces visual noise compared to raw price data Encourages context-based analysis instead of signal dependency Suitable for all markets and timeframes ⚠️ Important Notes This indicator does not generate buy or sell signals No targets, stop levels, or performance metrics are included Trend conditions are descriptive, not predictive Past behavior does not guarantee future outcomes Users should always apply their own analysis and risk management when interpreting market data. 📚 Intended Use This tool is intended for: Market trend study Educational demonstrations Visual analysis of trend direction Long-term chart structure awareness It is not intended for automated trading or decision-making.
Indikator Pine Script®
oleh Mentor_Michael03
Educational Market Structure & Trend Context🔍 Overview This time-limited indicator is designed for educational and analytical purposes only. It helps users visually study price structure behavior and trend context by marking key structural points on the chart and overlaying a trend reference line. The indicator does not generate trading signals, predictions, or recommendations. ⚙️ How the Indicator Works The script analyzes price action over a user-defined lookback period to identify local structural points: Higher Highs within the selected range Lower Lows within the selected range These points are plotted as simple visual markers to help users understand how price is evolving over time. In addition, a moving average is applied to provide broader trend context. 🟢 Green Markers (Structure Strength) Appear when price forms a local higher high within the lookback window Represent relative strength in price structure They are not buy signals and do not indicate future movement 🔴 Red Markers (Structure Weakness) Appear when price forms a local lower low within the lookback window Represent relative weakness in price structure They are not sell signals and do not indicate reversals ➖ Grey Line (Trend Context Line) This line is a moving average calculated over a fixed period It provides trend context only, helping users visually distinguish between upward and downward environments It does not act as support, resistance, or entry guidance 🎨 Background Shading (Optional Context) A subtle background color may appear depending on price position relative to the trend line This shading is purely visual context, not a signal or confirmation 🎯 Purpose & Benefits Helps users study market structure in a clean and simple way Encourages price-action awareness instead of signal dependency Supports manual analysis, learning, and chart reading skills Keeps the chart minimal, non-predictive, and professional ⚠️ Important Notes This indicator does not provide buy/sell signals No targets, stop levels, or profit expectations are included Past structure points do not predict future outcomes Users should apply their own analysis and risk management
Indikator Pine Script®
oleh Mentor_Michael03
GT Model IndicatorThis indicator will help you detect 15m FVGs on NQ. After setting the alert, you can check the chart to see if the FVG aligns with the Bias. This way, when the price reenters this FVG, we can check the LTF for an IFVG that aligns with the Bias. If you find this FVG interesting, set a manual alert on the FVG again, let the price return, and see if you can initiate a continuation trade towards the clear DOL. You can also specify a time window for the alerts to arrive. This indicator is for "NQ1!" We will update this Script allong the way, so stay tuned, more to come.
Indikator Pine Script®
oleh Bonkie90
Neeson Mayer MultipleIntegrating the Mayer Multiple Indicator: A Practical Guide for Market Analysis Introduction The Mayer Multiple indicator is a specialized tool designed to assess asset valuations relative to their long-term historical trends. By comparing current price action against a long-term simple moving average, this indicator provides a quantitative framework for identifying potential overbought and oversold conditions. This article explains the rationale behind its design, operational mechanics, practical applications, and unique value proposition. Purpose and Functionality The primary function of the Mayer Multiple indicator is to measure how far current prices deviate from a long-term moving average, expressed as a ratio. This measurement helps traders and investors identify: Extreme valuation levels that may signal potential reversal points Long-term trend strength and sustainability Market psychology shifts between fear and greed cycles Originally popularized in Bitcoin analysis, the indicator's principles apply to any volatile asset class where mean reversion tendencies exist alongside strong trend characteristics. Operational Principles The indicator operates through several interconnected components: Core Calculation Mechanism At its heart, the indicator calculates the Mayer Multiple by dividing the current closing price by a configurable simple moving average (default: 200 periods). This ratio represents how many times the current price exceeds its long-term average, providing an immediate visual reference for valuation extremes. Multi-Level Threshold System Four configurable thresholds create distinct market condition zones: Optimal Buy Zone (default: 0.7) - Historically extreme undervaluation Undervalued Zone (default: 1.0) - Moderate undervaluation Overvalued Zone (default: 2.4) - Moderate overvaluation Optimal Sell Zone (default: 3.5) - Historically extreme overvaluation These thresholds create a graduated scale of market conditions rather than binary signals. Visual Signal Hierarchy A sophisticated color-coding system prioritizes different signal types based on their significance: White/Gray: Neutral territory (between undervalued and overvalued thresholds) Aqua: Entering undervalued territory (potential accumulation zone) White: Reaching optimal buying conditions (historically rare opportunities) Yellow: Entering overvalued territory (potential distribution zone) Orange: Reaching optimal selling conditions (historically rare extremes) Green: Emerging from optimal buying conditions (momentum shift confirmation) Red: Retreating from optimal selling conditions (momentum reversal confirmation) This hierarchy helps users distinguish between entry signals, exit signals, and confirmation signals. Integration Rationale The integration of these components follows a logical progression: Mathematical Foundation The moving average provides a stable reference point that filters out short-term noise while maintaining sensitivity to long-term trend changes. The ratio format normalizes values across different price levels and timeframes, enabling cross-asset comparisons. Behavioral Finance Alignment The threshold system corresponds to documented market psychology patterns. The extreme thresholds (optimal buy/sell) represent points where fear or greed typically reach maximum intensity, while the moderate thresholds represent early warning levels. Progressive Signal Detection The indicator tracks both threshold breaches and retreats from extreme zones. This dual-tracking approach captures not only when conditions become extreme but also when they begin to normalize—often the most actionable moments for position adjustments. Component Synergy The indicator's components work together through a continuous feedback loop: Calculation Engine: Continuously computes the core ratio, serving as the foundation for all subsequent analysis. Threshold Comparator: Compares the current ratio against user-defined thresholds, categorizing market conditions in real-time. Signal Generator: Identifies specific events (threshold crossings, zone entries/exits) and assigns appropriate visual representations. Visual Renderer: Displays the information through colored histograms, reference lines, and data tables, creating an intuitive interface. Alert System: Monitors for predefined conditions and notifies users of significant developments without requiring constant screen monitoring. This integrated approach transforms raw price data into structured, actionable information while maintaining mathematical rigor and visual clarity. Practical Application Guidelines Parameter Customization Users should adjust parameters based on: Asset volatility (higher volatility assets may require wider thresholds) Timeframe (longer timeframes may benefit from longer moving averages) Personal risk tolerance (conservative traders may use tighter thresholds) Signal Interpretation Framework Zone-Based Analysis: Focus on which zone the indicator occupies rather than chasing individual data points Confirmation Seeking: Use extreme zone signals (white/orange) as alerts for further analysis rather than automatic trade triggers Momentum Assessment: Observe how quickly the indicator moves between zones as a measure of trend strength Complementary Tools The Mayer Multiple works best when combined with: Volume analysis to confirm participation during extreme readings Momentum indicators to identify potential divergence Support/resistance levels for precise entry/exit timing Fundamental analysis for context validation Distinctive Attributes Original Implementation Features Progressive Color System: Unlike binary indicators, this implementation provides graduated signals through a carefully prioritized color hierarchy. Dual-Signal Detection: The indicator captures both threshold breaches and retreats, offering insights into momentum shifts rather than just static levels. Contextual Display: The integrated data table provides immediate access to key metrics without cluttering the chart space. Customizable Framework: All thresholds and calculation periods are adjustable, allowing adaptation to different market regimes and trading styles. Practical Innovation The indicator's design emphasizes usability through: Immediate visual comprehension via color coding Clear separation between alert conditions and confirmation signals Balanced information density (sufficient data without overload) Flexible integration with existing trading workflows Responsible Usage Considerations Empirical Perspective Historical analysis suggests that assets frequently revert toward their long-term moving averages, but the timing and extent of such reversions vary significantly. The indicator identifies statistical extremes rather than predicting immediate price movements. Risk Management Integration Users should: Treat extreme readings as risk management triggers rather than directional forecasts Consider position sizing based on distance from the moving average Implement stop-loss strategies regardless of indicator readings Avoid allocating excessive weight to any single indicator Performance Realism The indicator does not guarantee profitable outcomes. Its value lies in providing structured information about valuation extremes, which must be interpreted within broader market context and individual risk parameters. Conclusion The Mayer Multiple indicator represents a thoughtfully integrated approach to long-term valuation analysis. By combining mathematical rigor with behavioral insights and practical visualization, it provides traders with a structured framework for assessing market extremes. Its modular design allows customization while maintaining core analytical integrity, and its emphasis on graduated signals helps avoid the oversimplification common in technical indicators. When used as part of a comprehensive trading methodology with appropriate risk management, it can contribute valuable perspective to the decision-making process.
Indikator Pine Script®
oleh neeson1987
[COG] Platypus Platypus Overview Platypus is a volume momentum indicator that combines price action, volume analysis, and multi-timeframe confirmation to generate trade signals. Unlike traditional volume indicators, Platypus reconstructs volume momentum by factoring in price velocity, volatility adjustment, and market structure to identify true institutional momentum shifts. The indicator features a comprehensive filtering system including EMA alignment, background state confirmation, and optional multi-timeframe filters to eliminate false signals and ensure you only trade with the strongest momentum. Key Features ✅ Volume Momentum Calculation Volatility-Adjusted Volume: Normalizes volume relative to recent volatility periods Quiet Market Filtering: Reduces noise during low-activity periods Spike Detection: Identifies abnormal volume surges with boosted weighting Momentum Smoothing: EMA-based smoothing prevents erratic signals ✅ Entry Pattern Detection 3-Bar Pattern Requirement: RED → GREEN → GREEN for buys (opposite for sells) State Management: Prevents consecutive signals in same direction without reset Background Confirmation: Must align with bullish/bearish market state EMA Alignment Filter: Ensures trend structure supports the trade direction ✅ Multi-Timeframe Filtering System HTF Closed Bar Filter: Confirms last closed higher timeframe bar matches direction (no repaint) HTF Momentum Filter: Requires current HTF bar to match direction (live, prevents delayed entries) Dual-Filter Capability: Use both filters for maximum precision ✅ Dashboard Real-time Status Monitoring: Volume trend, background state, EMA order, trade state Filter Status Display: Shows HTF filter conditions and signal permission Pattern Detection: Indicates when 3-bar entry pattern is forming ✅ On-Chart Integration 50/100/200 EMAs: Automatically plotted on price chart with customizable colors Visual Entry Markers: Triangle signals appear on price chart at entry points Signal Alerts: Built-in alert conditions for all signal types 📚 Core Settings Explained signalPeriod = input.int(8, "Signal Period", minval=1, group="Core Settings") Signal Period (Default: 8): Controls the smoothing of the signal line (blue line). Lower values = more responsive, higher values = smoother but slower to react. volatilityPeriod = input.int(20, "Volatility Period", minval=1, group="Core Settings") Volatility Period (Default: 20): Lookback period for volume and price range calculations. This period is used to normalize volume relative to recent market conditions. priceFilterLength = input.int(200, "Price Filter MA Length", minval=1, group="Core Settings") Price Filter MA Length (Default: 200): The SMA period used for background state determination. Price must be above this MA for bullish background, below for bearish background. Advanced Settings momentumMultiplier = input.float(50.0, "Momentum Multiplier", minval=20.0, maxval=80.0, step=2.0, group="Advanced") Momentum Multiplier (Default: 50.0): Scales the final momentum score. Higher values = larger histogram bars and more sensitivity. Adjust based on your instrument's volatility. momentumSmoothing = input.int(4, "Momentum Smoothing", minval=1, maxval=15, group="Advanced") Momentum Smoothing (Default: 4): EMA period applied to raw momentum before normalization. Higher values reduce noise but add lag. quietThreshold = input.float(0.3, "Quiet Market Filter", minval=0.0, maxval=1.0, step=0.05, group="Advanced") Quiet Market Filter (Default: 0.3): During low-volume periods, this applies exponential dampening to momentum. Higher values = more aggressive filtering of weak moves. volStrengthFactor = volRatio < (1.0 + quietThreshold) ? math.pow(volRatio, 2) : volRatio When volume is less than average + threshold, it squares the ratio (dampening), otherwise uses linear scaling.
Indikator Pine Script®
oleh CognitiveAlpha
2
Celestial StateCelestial State (C1) – Market Bias & Candle Intent Celestial State (C1) is a price-action indicator designed to clarify market bias, momentum, and risk conditions using nothing but candle structure. No indicators. No lag. Just clean candle logic. The tool separates state (what the market is) from intent (what the market is doing right now). 🔹 Core Concept The indicator works on the chart timeframe and uses closed candles only to define market state. It then monitors the current candle to identify: momentum confirmation early warnings potential trap / reversal behaviour 🔹 Market State (Based on C1 – last closed candle) State is derived from the relationship between the last two closed candles: Bull Trend Start Bearish candle → Bullish candle Bull Continuation Bullish candle → Bullish candle Bear Trend Start Bullish candle → Bearish candle Bear Continuation Bearish candle → Bearish candle This defines the directional environment before any decision is made. 🔹 Bias & Momentum (Live Candle) Once state is defined, the current candle is monitored relative to the previous candle’s high and low. Strong Buy Bullish state Previous candle bullish Current candle breaks previous high Strong Sell Bearish state Previous candle bearish Current candle breaks previous low These represent momentum continuation with confirmation. Buy / Sell (Normal Bias) Price is in a bullish or bearish state No momentum break yet This is directional bias without confirmation. Changing Bias Bullish state + previous low broken Bearish state + previous high broken This warns that control is being challenged and conditions may be shifting. 🔹 Flip (Strict Order) A Flip is a high-risk condition where expansion fails: Bull Flip Current candle breaks previous high first, then breaks previous low Bear Flip Current candle breaks previous low first, then breaks previous high This often signals: failed breakouts stop hunts transition zones 🔹 Visual Output Top-right panel shows: Current Celestial State (C1) Current Bias (Strong Buy / Sell / Changing Bias) Short explanation (e.g. High broken, Low broken) On-chart markers are intentionally minimal and offset away from price to reduce clutter. 🔹 Who This Is For This indicator is built for traders who: trade price action want context before execution prefer clarity over complexity understand that bias ≠ entry ⚠️ Disclaimer This tool does not provide entries, exits, or risk management. It is a context and intent framework, not a signal system. Use it as a decision-support layer alongside your own execution rules.
Indikator Pine Script®
oleh thecelestialtrader