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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
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Mentor_Michael03 tarafından
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.
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Bonkie90 tarafından
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.
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neeson1987 tarafından
[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.
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CognitiveAlpha tarafından
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.
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thecelestialtrader tarafından
Bank Nifty RSI Dynamic v6This is a specialized mean-reversion strategy designed for Bank Nifty (NSE:NIFTYBANK) on the 5-minute timeframe. It focuses on capturing rapid reversals when the market reaches extreme overbought or oversold conditions based on the Relative Strength Index (RSI). Unlike standard RSI strategies that wait for a cross back into the neutral zone, this script uses asymmetric dynamic exits to lock in profits early as momentum shifts. How it Works Timeframe: Optimized for 5m (Intraday). Bullish Entry (Call): Triggers when the RSI closes below 30. This identifies a potential "exhaustion" in selling pressure. Bearish Entry (Put): Triggers when the RSI closes above 68. This identifies a potential "overextension" in buying pressure. Dynamic Exits: Calls are closed when RSI recovers to 45. Puts are closed when RSI cools down to 56. Position Sizing: Fixed at 3 Lots (90 units), calibrated for the 2026 Bank Nifty lot size. Key Features Pine Script v6: Built using the latest TradingView standards for faster execution and better backtesting accuracy. Capital Efficiency: Includes a zero-margin override to ensure the backtester reflects the full 3-lot position regardless of account leverage settings. Visual Signals: Uses clear plotshape triangles (Green for Call, Red for Put) directly on the price chart for easy manual execution or alert monitoring. Risk Disclaimer Bank Nifty is highly volatile. This strategy does not include a fixed stop loss by default (exits are momentum-based), so users should be prepared for drawdowns during strong trending phases where RSI remains in extreme zones for extended periods. Always backtest on your preferred broker's data before going live.
Pine Script® stratejisi
rahulrana95 tarafından
15m FVG Alerts with Timezone and time selectorThis 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!"
Pine Script® göstergesi
Bonkie90 tarafından
MTT Liquidity Transmission Z-ScoreUnderstanding the Liquidity Transmission Indicator This indicator is a multi-asset dashboard designed to reveal the "invisible" plumbing of the financial markets. By normalizing four distinct macro drivers into Z-scores, it allows you to compare disparate data points—interest rates, volatility, and equity ratios—on a single unified scale (typically ranging from -3 to +3). How to Interpret the Data Expansion (Positive Z-Scores): When the lines move above the zero median, it signals easing conditions. For example, a rising US Policy Impulse suggests falling yields and a more accommodative Fed, providing a "tailwind" for risk assets. Contraction (Negative Z-Scores): When lines drop below zero, liquidity is tightening. A plummeting Credit Transmission line indicates widening corporate spreads, suggesting that banks are less willing to lend, which often precedes market corrections. The "Confluence" Signal: The strongest trading environments occur when all four lines align. If Speculative Excess and International Impulse are both surging alongside US policy, you are witnessing a global "Risk-On" regime. Trading Application Watch for divergences. If the S&P 500 is making new highs but the Liquidity Transmission lines are trending lower (becoming "overbought" or exhausted), the market is likely running on fumes. Conversely, look for "oversold" bounces from the -2.0 level as potential entry points for a mean-reversion swing trade.
Pine Script® göstergesi
mad_tom_trading tarafından
2
Neeson Trend Price Oscillator Pulse EditionNeeson Trend Price Oscillator Pulse Edition: A Comprehensive Market Cycle Analysis Tool Overview and Purpose The Trend Price Oscillator Pulse Edition is a sophisticated technical analysis indicator designed to identify major market cycle tops and bottoms. This tool operates as a standalone oscillator in a subchart, providing clear visual signals of overbought and oversold conditions within the context of long-term market cycles. Developed for position traders and long-term investors, it focuses on capturing significant market turning points rather than short-term fluctuations. Integration Rationale and Component Synergy The indicator integrates three core analytical concepts into a cohesive system: Detrended Price Oscillator (DPO) Foundation: Traditional DPO methodology isolates cyclical price movements by removing the underlying trend component. This creates a clearer view of oscillatory behavior without the distortion of long-term directional bias. Normalization Framework: By converting raw DPO values to a standardized 0-100 scale, the indicator establishes consistent reference points for market extremes across different instruments and timeframes. This normalization enables meaningful comparison of oscillator readings regardless of absolute price levels. Dynamic Threshold System: The implementation of adjustable threshold levels (default: 95% for overbought, 5% for oversold) creates adaptive boundaries that respond to changing market volatility and cycle characteristics. These components work synergistically: The DPO extracts cyclical information from price action, the normalization process standardizes this information for consistent interpretation, and the threshold system provides actionable decision points based on historical extremes. Operational Mechanism The indicator calculates a detrended price value by comparing current price against a displaced moving average. This detrended value is then normalized against its historical range over a specified lookback period, transforming it into a percentage-based oscillator. A smoothing filter is applied to reduce noise and highlight significant movements. The oscillator's movement through threshold zones generates four distinct market signals: Entry into overbought territory (crossing above 95%) Exit from overbought territory (crossing below 95%) Entry into oversold territory (crossing below 5%) Exit from oversold territory (crossing above 5%) Each signal corresponds to a specific market condition hypothesis regarding institutional versus retail trader dynamics in major market cycles. Practical Application Guidelines Primary Use Cases: Identification of potential major cycle turning points on weekly and monthly timeframes Confirmation tool for existing trading strategies requiring cycle analysis Risk management through recognition of extreme market conditions Interpretation Framework: Overbought Conditions (Oscillator ≥ 95%): Suggest potential selling pressure from major market participants. Consider reducing long exposure or implementing protective measures. Oversold Conditions (Oscillator ≤ 5%): Indicate potential accumulation zones by institutional buyers. Consider establishing or adding to long positions using dollar-cost averaging strategies. Threshold Crossings: Monitor for exits from extreme zones as potential confirmation that a cycle peak or trough may have formed. Parameter Considerations: Default parameters (548-period oscillator, 274-period offset, 1096-period lookback) are optimized for identifying major market cycles. Users may adjust these values for different market conditions or timeframes, though significant parameter changes will alter the indicator's sensitivity and signal frequency. Originality and Distinctive Features This implementation incorporates several innovative aspects: Extended Cycle Focus: Unlike most oscillators designed for shorter timeframes, this tool employs exceptionally long calculation periods specifically for identifying primary market cycles. Dynamic Normalization: The lookback-based normalization adapts to changing market conditions without requiring manual recalibration. Multi-Signal Alert System: Four distinct alert conditions provide nuanced information about market state transitions rather than simple binary signals. Integrated Risk Context: Each signal includes contextual information about potential market participant behavior, encouraging disciplined risk management. Empirical Considerations and Limitations The indicator provides probabilistic assessments based on historical price behavior, not predictive certainties. Market conditions may change, rendering historical patterns less reliable. Users should consider: The indicator performs best in trending or cyclical markets; it may generate false signals during extended range-bound periods. No technical indicator, including this one, can guarantee future market movements. Proper position sizing and risk management should accompany all trading decisions, regardless of indicator signals. Expected User Outcomes When used as part of a comprehensive trading plan, this indicator can help users: Identify potential reversal zones in major market cycles Develop patience by focusing on significant rather than frequent trading opportunities Maintain objective perspective during market extremes through quantitative assessment Coordinate entry and exit timing with cycle analysis The Trend Price Oscillator Pulse Edition represents a specialized tool for traders seeking to align their strategies with major market cycles through systematic analysis of price oscillation behavior relative to long-term trends.
Pine Script® göstergesi
neeson1987 tarafından
Peak Trading Activity Graphs [LuxAlgo]The Peak Trading Activity Graphs displays four graphs that allow traders to see at a glance the times of the highest and lowest volume and volatility for any month, day of the month, day of the week, or hour of the day. By default, it plots the median values of the selected data for each period. Traders can enable the Median Delta feature to further highlight differences in the data. The graphs are customizable in width and height and feature gradient colors by default. 🔶 USAGE The tool is simple yet powerful. Using the three main parameters on the settings panel, traders can display up to four different graphs and up to 16 different configurations. There are two main types of data: volume and volatility. There are also four different time periods: months, days of the month, days of the week, and hours of the day. There is also the possibility of displaying the raw medians or the delta between them. Understanding which time periods have the most and least volume and volatility is essential for any trader. From avoiding trading during periods of low volume to properly sizing positions during periods of high volatility, there are multiple use cases directly related to improving execution and risk management. 🔹 Months This chart shows the monthly volume and volatility of NQ as medians at the top and as the delta of medians at the bottom. As we can see on the left-hand chart, the volume is fairly consistent throughout the year. January, March, and October have the highest volume, and December has the lowest volume for obvious reasons. Note the bottom chart with the delta feature enabled, which clearly shows the top and bottom periods. On the right, we have volatility, which is also evenly distributed throughout most months. October is the most volatile month, and March is the least volatile month. The differences are also very clear on the bottom chart with delta enabled. Traders may want to compare median volatility and volume by month to size positions and favor exposure during historically high-activity months. 🔹 Days of Month The same NQ charts are shown, but in this case, the Days of Month period has been selected. As you can see, this displays a calendar-like graph. The volume is on the left, the volatility is on the right, and the delta feature is enabled on the bottom charts. This feature allows for stronger differences in gradient. The top charts show that the raw medians of both volume and volatility are evenly distributed. We need to enable the delta feature on the bottom charts to see where the most and least volume and volatility are. Traders can use median activity by calendar day to anticipate liquidity expansions or contractions and adjust trade frequency. 🔹 Days of Week In this case, we have BTC charts with the same layout as before. Notably, the difference in volume on weekends is not as pronounced from a volatility perspective on those same days. A practical use case can be differentiate high-risk, high-participation weekdays from low-activity sessions to select trend or range-based strategies. 🔹 Hours of Day This shows the volume and volatility of each hour of the day for gold futures. As we can see, the most volume and volatility occur during the three hours around the RTH open at 8:00, 9:00, and 10:00 a.m. Traders may want to isolate hours with the highest median volatility and volume to concentrate execution and avoid low-liquidity periods. 🔹 Assets Comparison This tool allows us to compare different assets over the same period. In this case, we are comparing the hours of the day for 10-year notes, the S&P 500, silver, and the yen. Each asset has a different volatility profile throughout the day. With the Delta feature enabled, we can clearly see the differences. The 10Y Notes move from 7:00 to 9:00 and from 2:00 to 9:00. The Yen moves from 7:00 to 9:00 and from 2:00 to 9:00. Silver moves from 8:00 to 10:00. The S&P 500 moves from 8:00 to 9:00 and from 14:00 to 15:00. All times are in exchange time. 🔹 Sizing & Coloring Graphs Traders can adjust the width and height of the graphs, as well as the text size, at will. Traders can choose from four different color configurations in the settings panel. 🔶 SETTINGS Data: Select the type of data to display: Volume or Volatility. Period: Select the time period to display: Month, Day of Month, Day of Week, or Hours. Display delta between medians. Display the difference between the medians as a percentage. The smaller median is 0 and the larger median is 100. Enabling this feature highlights the differences between values. 🔹 Graph Graph: Select the graph location. Size: Select the graph size. Width: Select the graph width. Height: Select the height of the graph. 🔹 Style Colors: Select a color map: Viridis, Plasma, Magma, or Custom. Custom Cold: Select a custom color for cold (low values). Custom Lukewarm: Select a custom color for lukewarm (medium values). Custom Hot: Select a custom color for hot (high values).
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LuxAlgo tarafından
6
Target Ladder Pro - MTF ATR + HIT ConfirmationTarget Ladder Pro is a volatility-based target framework that plots multi-timeframe ATR-derived upper and lower reference levels on the price chart and can optionally print HIT confirmations when a defined ATR target is reached. This script is designed to provide structured volatility context (reach zones, range framing, and objective “target reached” tagging). It does not predict price direction, does not guarantee outcomes, and is not intended as a standalone signal generator. What This Script Displays 1) Multi-Timeframe ATR Target Ladder (1H / 4H / 1D / 1W) For each enabled timeframe, the script calculates ATR using higher-timeframe data via request.security() (no lookahead), then plots: Upper level: Base + ATR × Multiplier Lower level: Base − ATR × Multiplier The “Base” can be set to: the current chart price (for immediate relevance), or the timeframe’s own close (for a strict MTF reference) Each timeframe’s upper and lower levels are drawn as price-chart lines. Last-Bar Target Balloons (per timeframe) On the last bar, the script prints balloon labels for each timeframe’s upper and lower level. Horizontal x-offsets are configurable per timeframe to keep stacked labels readable. 2) ATR Target + Deviation Bands (Context Layer) A separate ATR target module calculates a single ATR reference level for the current bar based on candle direction (up/down close relative to the prior close). It also optionally plots: a mean line (moving average), and up to four standard-deviation bands (mean ± N × deviation) These bands provide statistical range context around price. Target / HIT Labels (per bar) When enabled: a Target label marks the computed ATR target level a HIT label appears when price reaches that target on the same bar (high/low touch rule) An optional filter can require that the ATR target is inside the first deviation band before printing a HIT label, reducing HIT labels during extended conditions. Label history can be limited to the most recent N labels or allowed to persist (with a safety cap). How to Use Enable the timeframes you want to display (e.g., 1H / 4H / 1D / 1W). Adjust ATR length and multipliers per timeframe to match the asset’s volatility profile. Choose whether MTF ladder levels are anchored to current price or the timeframe’s own close. Use the ladder levels as volatility reach reference zones above and below price. Use Target/HIT labels as objective “condition occurred” markers for review and journaling. Notes and Limitations ATR levels are volatility references, not forecasts or guarantees. Targets may be reached frequently in high-volatility regimes and rarely in compressed markets. HIT labels indicate that a defined volatility condition occurred; they do not imply reversal or continuation on their own. This script is provided for informational and educational purposes only and does not constitute financial advice.
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Dinjin tarafından
bitcoin Multi-Timeframe Trend Analysis Toolbitcoin Multi-Timeframe Trend Analysis Tool: A Comprehensive Guide for Market Cycle Identification Introduction The Multi-Timeframe Trend Analysis Tool is a sophisticated technical indicator designed to help traders identify critical market phases across different time horizons. This tool synthesizes multiple established technical analysis concepts into a unified framework, specifically optimized for high-volatility markets such as cryptocurrencies and alternative coins (altcoins). By integrating trend-following, momentum, and mean-reversion principles, it provides visual cues for strategic entry and exit points throughout market cycles. Core Philosophy and Integration Rationale The indicator's design philosophy centers on the principle that different market phases require different analytical approaches. Rather than relying on a single indicator, which often produces false signals during complex market conditions, this tool combines multiple technical components that complement each other's strengths and compensate for individual weaknesses. The integration follows a logical hierarchy: Trend Identification through multiple EMA periods establishes the market's primary direction Momentum Confirmation via multiple MACD configurations validates trend strength and potential reversals Multi-timeframe Alignment ensures signals are significant across both short-term and long-term perspectives This layered approach reduces the likelihood of whipsaws and increases the statistical significance of generated signals. Component Synergy and Operational Mechanics 1. EMA System: The Trend Foundation The tool employs six Exponential Moving Averages organized into two groups: Long-term EMA Group (200, 300, 700 periods): The 200-period EMA serves as the primary trend baseline The 300-period EMA provides confirmation of the longer-term direction The 700-period EMA represents the "macro trend" and helps identify major cycle shifts Medium-term EMA Group (18, 36, 63 periods): These shorter EMAs capture intermediate trend dynamics The relationship between these EMAs helps identify acceleration or deceleration in trend momentum The EMA system works by comparing relationships between different period lengths. For instance, when shorter EMAs are positioned below longer EMAs, it confirms a bearish trend structure, while the opposite configuration suggests bullish momentum. 2. Multi-Period MACD System: Momentum and Divergence Detection The tool implements three separate MACD configurations, each serving a distinct purpose: Bottom MACD (168/364/6 periods): Designed to capture long-term momentum shifts at potential market bottoms The extended periods (168 and 364) filter out short-term noise while highlighting significant trend changes Particularly effective at identifying oversold conditions during prolonged downtrends Top MACD (108/234/9 periods): Optimized for detecting momentum deterioration at potential market tops The period selection is based on historical analysis of bull market cycles Helps identify when bullish momentum is weakening before price action clearly reverses Local Top MACD (9/36/9 periods): Functions as an early warning system for short-term corrections Particularly useful for swing traders and risk management Can help identify profit-taking opportunities during ongoing trends The three MACDs operate independently but collectively provide a comprehensive view of momentum across different time horizons. When multiple MACDs simultaneously show confirming signals, the reliability of the indication increases significantly. 3. Signal Generation Logic: Conditional Framework Signals are generated only when multiple conditions align across different components: Accumulation Zone Conditions: Requires both trend alignment (200 EMA below 300 EMA) AND either: Price trading at a significant discount to the 200 EMA (suggesting oversold conditions), OR The 200 EMA itself declining sharply (confirming bearish momentum exhaustion) This dual requirement prevents false accumulation signals during healthy downtrends Strong Buy Zone Conditions: Includes all accumulation zone requirements PLUS: Sharp decline in the 36-period EMA (suggesting panic or capitulation) Accelerated decline in the 200 EMA (confirming bearish exhaustion) This represents a higher-conviction signal with multiple confirming factors Potential Bull Market Top Conditions: Requires the 700 EMA to be rising sharply (confirming extended bullish trend) AND Top MACD showing bearish divergence (momentum weakening) AND Short-term EMA alignment still bullish (indicating the top is forming amid strength) This combination helps distinguish between minor corrections and major trend reversals Local Top Warning Conditions: Triggered when the 700 EMA shows accelerated gains (potential euphoria phase) AND The Local Top MACD shows bearish momentum divergence Serves as a risk management tool rather than a direct reversal signal Practical Application and Usage Guidelines For Long-Term Investors: Monitor for "Accumulation Zone" signals during market downturns Consider initiating or adding to positions during "Strong Buy Zone" signals Use these signals for dollar-cost averaging strategies rather than timing exact bottoms Hold through intermediate fluctuations unless "Potential Bull Market Top" signals appear For Trend Traders: Use EMA alignments to confirm trend direction before entering positions Employ "Local Top Warnings" to secure profits on portions of positions Watch for alignment between medium-term EMA direction and MACD signals for entry timing Consider "Potential Bull Market Top" signals as reasons to reduce exposure or implement hedging strategies For Risk Managers: Use "Local Top Warnings" to tighten stop-losses or reduce position sizes Monitor the relationship between price and the 200 EMA for overall market health assessment Track multiple timeframes to distinguish between normal volatility and potential trend changes Originality and Distinctive Features This tool represents a novel synthesis of existing technical concepts rather than a completely new indicator. Its originality stems from: Purpose-Specific MACD Configurations: Unlike standard MACD implementations, each of the three MACDs is optimized for a specific market condition, with period lengths derived from empirical analysis of market cycles. Multi-Layered Confirmation Framework: Signals require alignment across trend, momentum, and rate-of-change dimensions, reducing false positives common in single-indicator systems. Progressive Signal Hierarchy: The tool distinguishes between initial warning signals ("Local Top Warnings") and higher-conviction reversal signals ("Potential Bull Market Tops"), allowing for graduated responses. Combination of Absolute and Relative Conditions: The logic incorporates both absolute price relationships (price vs. EMA levels) and rate-of-change metrics (EMA acceleration/deceleration), capturing both state and momentum information. Limitations and Considerations Lagging Nature: Like all trend-following indicators, this tool reacts to established conditions rather than predicting future movements. Early trend phases may not generate signals. Parameter Sensitivity: The default parameters are optimized for daily cryptocurrency charts. Performance may vary across different asset classes or timeframes. Complementary Analysis Required: This tool should be used alongside fundamental analysis, volume confirmation, and market structure considerations. No Guarantee of Performance: Past success in identifying market phases does not ensure future accuracy. All trading involves risk, and no indicator provides certainty. Conclusion The Multi-Timeframe Trend Analysis Tool provides a structured approach to identifying significant market phases by integrating trend, momentum, and mean-reversion concepts across multiple time horizons. Its value lies not in predicting exact turning points but in identifying zones of increasing probability for trend changes, allowing traders to adjust their strategies accordingly. When used as part of a comprehensive trading plan with proper risk management, it can help traders navigate complex market environments with greater clarity and discipline. The tool is particularly suited to the extended trends and pronounced cycles characteristic of cryptocurrency markets, though its principles apply across various financial instruments. As with all technical tools, its effectiveness increases with user understanding of both its mechanisms and its limitations.
Pine Script® göstergesi
neeson1987 tarafından
Bitcoin Macro Trend IndicatorBitcoin Macro Trend Indicator: A Multi-Timeframe Confirmation System for Strategic Positioning Introduction The Bitcoin Macro Trend Indicator is a comprehensive technical analysis tool designed for cryptocurrency traders and investors seeking to navigate Bitcoin's volatile cycles. It integrates multiple exponential moving averages (EMAs) and MACD variations into a unified system that identifies long-term accumulation zones, bull market tops, and strategic re-entry points. This document outlines the logical foundation of this integration, explains the synergistic operation of its components, and provides practical guidance for its application. Rationale for Multi-Indicator Integration Bitcoin's market behavior exhibits distinct cyclical patterns characterized by extended accumulation periods, parabolic advances, and sharp corrections. Single indicators often generate false signals during volatile conditions. This system employs a layered confirmation approach where: Ultra-long-term EMAs establish the primary trend context Medium-term EMA crossovers identify trend transitions Multiple MACD configurations detect momentum shifts across different time horizons This multi-timeframe methodology reduces noise and increases signal reliability by requiring convergence across independent but complementary technical elements. Component Synergy and Operational Mechanism 1. EMA Framework: The Trend Foundation 700-period EMA: Serves as the primary trend baseline. Prices below this line suggest long-term undervaluation (accumulation territory), while sustained positions above indicate established bull markets. 18/63-period EMA Pair: Functions as the core trend transition system. The golden cross (18 above 63) confirms bullish momentum, while the death cross signals potential trend exhaustion. 12/52-period EMA Pair: Specialized for identifying renewed momentum after corrections within ongoing trends, reducing premature re-entry during false recoveries. 12-period EMA (Auxiliary): Provides early warning of short-term trend deterioration that may precede larger corrections. 2. MACD Ensemble: Momentum Verification Bottom MACD (168/364/6): With exceptionally slow parameters, this configuration filters out short-term noise to identify genuine long-term momentum shifts characteristic of market bottoms. Top MACD (63/133/1): Optimized for detecting momentum divergence at potential market tops, where traditional MACD settings often lag. Local Top Warning MACD (30/65/4): Balanced to capture intermediate-term momentum deterioration that frequently precedes significant pullbacks. Early Bull MACD (9/19/6): Sensitive to initial momentum surges following accumulation periods, providing early confirmation of trend initiation. 3. Signal Hierarchy and Progressive Confirmation The indicator employs a cascading confirmation logic: Stage 1 (Accumulation): Requires both long-term MACD improvement AND price position below the 700-period EMA. Strong accumulation signals add Early Bull MACD confirmation. Stage 2 (Warning): Local top warnings activate only when multiple conditions align: medium-term trend remains bullish, ultra-long-term trend confirms strength, AND specialized MACDs show momentum deterioration. Stage 3 (Re-entry): Requires both EMA crossover confirmation AND momentum recovery in the warning MACD, reducing false continuation signals. Stage 4 (Top Confirmation): The most stringent criteria, demanding convergence across long-term, medium-term, and momentum indicators before signaling major trend reversal. Practical Application and Interpretation Signal Classification System Accumulation Zones (Green): Areas where long-term indicators suggest undervaluation. These represent strategic buying opportunities for patient investors. Strong Accumulation Signals (Dark Green): Enhanced accumulation zones with additional momentum confirmation, suggesting higher-probability entry points. Local Top Warnings (Orange/Red): Progressive warnings of increasing risk, with red zones indicating conditions historically associated with more severe corrections. Re-entry Opportunities (Blue): Post-correction zones where momentum recovery aligns with trend resumption signals. Bull Market Termination (Purple): Signals suggesting completion of major advance cycles, prompting defensive positioning. Top Confirmation (Dark Red): High-confidence reversal signals with multi-timeframe confirmation. Usage Guidelines Timeframe Recommendation: Designed primarily for daily and weekly charts where macroeconomic trends are most evident. Position Sizing: Accumulation signals support gradual position building, while warning signals suggest reducing exposure rather than immediate liquidation. Corroboration: Although self-contained, the indicator performs best when combined with volume analysis and fundamental considerations. Historical Validation: Users should review signal performance across multiple market cycles to understand characteristic behaviors. Limitations and Considerations No technical indicator predicts market movements with absolute certainty. This tool provides probabilistic assessments based on historical patterns. Extraordinary market events or fundamental shifts may override technical signals. The indicator's parameters, while optimized for Bitcoin's historical behavior, may require adjustment for unprecedented market conditions. Signals should be interpreted in context of overall market structure and trader/investor time horizon. Originality and Differentiation This system represents a novel synthesis of established technical concepts through: Parameter Optimization: Specific EMA and MACD periods calibrated to Bitcoin's characteristic volatility and cycle duration. Conditional Layering: Unlike single-criterion systems, signals require convergence across independent technical dimensions. Progressive Warning System: Multi-stage alerts that distinguish between routine corrections and potential trend reversals. Macro-Micro Integration: Simultaneous analysis of ultra-long-term trends and short-term momentum shifts. Empirical Foundation The indicator's design incorporates observations from Bitcoin's market behavior since 2010, particularly: The tendency for major bottoms to form during extended periods below long-term moving averages Characteristic momentum patterns preceding significant tops The predictive value of specific EMA relationships during different market phases Historical performance of multi-timeframe confirmation versus single indicators Conclusion The Bitcoin Macro Trend Indicator provides a structured framework for identifying high-probability turning points in Bitcoin's market cycles. By integrating multiple technical perspectives into a confirmation hierarchy, it reduces reaction to market noise while maintaining sensitivity to genuine trend changes. Users should employ this tool as part of a comprehensive trading plan that includes risk management protocols and consideration of external market factors. The system's greatest utility emerges when understood not as a predictive oracle but as a systematic method for identifying favorable risk-reward scenarios based on multi-timeframe technical convergence.
Pine Script® göstergesi
neeson1987 tarafından
Trading Cutoff TimerTrade Cutoff Timer — Discipline-First Session Control Trade Cutoff Timer is a simple execution-discipline indicator designed to enforce one of the most powerful trading rules: stop trading after your optimal window ends. The indicator visually marks a fixed cutoff time measured in minutes after the market open, helping you avoid late-session overtrading, FOMO entries, and degraded edge conditions. 🔹 What it does Draws a clear vertical cutoff line at X minutes after market open Optionally shades the background from market open until the cutoff Prevents “one more trade” behavior by making your rule visible on-chart Works on any intraday timeframe Does not affect chart scaling or price visibility 🔹 Key Features ⏱ Minute-based cutoff Define exactly how long after market open you are allowed to trade (e.g. 90 minutes). 🌍 Timezone-aware (UTC±) Select timezones using TradingView-style UTC offsets for consistent behavior across markets. 📅 Lookback control Limit how many historical days are marked to keep charts clean and focused. 🎨 Visual flexibility Enable or disable background shading, control how far it extends, and customize colors. 🧠 Discipline over signals No entries, no indicators, no bias — this tool enforces process, not predictions. 🔹 Who it’s for Day traders with a defined trading window Traders who perform best near market open Anyone working to improve consistency, patience, and rule-based execution Traders who want structure without clutter 🔹 Typical use cases “I only trade the first 90 minutes after NY open” “I stop trading once volatility degrades” “I want a visual reminder of my hard stop time” Trade less. Trade better. This indicator exists to support consistency — not to generate signals.
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DataWinsEmotionsLose tarafından
Demand Index StrategyDescription: This strategy is an automated trading system based on a faithful replica of the Sierra Chart "Demand Index" (Study ID 139). It utilizes the complex pressure/volume calculations developed by James Sibbet to identify high-probability reversal points from oversold territory. 📈 Strategy Logic: "The Deep Recovery" The Demand Index combines price and volume to measure buying vs. selling pressure. This strategy specifically looks for a "Deep Recovery" scenario where selling pressure exhausts itself and momentum shifts back to the upside. The Entry Conditions (Long Only): Deep Oversold Zone: The Demand Index must have visited the deep negative zone (-45) within the recent lookback period. This ensures we are watching a heavily sold-off asset. Recovery Trigger: The Demand Index must cross up through the recovery level (-30). Momentum Confirmation: At the moment of the crossover, the Demand Index must be above its Signal Line (EMA 10) to confirm the immediate trend direction. ⚙️ Default Settings Buy/Sell Power Length: 10 (Shorter term focus for reaction speed). Buy/Sell MA Length: 10. Signal EMA Length: 10. Deep Level: -45 (Configurable). Trigger Level: -30 (Configurable). 🛡️ Risk Management The strategy includes built-in inputs for risk management: Stop Loss: Defaults to 2.0% Take Profit: Defaults to 4.0% Note: These can be toggled off or adjusted in the settings menu. 🔍 About the Indicator Source This script replicates the specific math found in Sierra Chart's documentation for Study ID 139. This includes the unique H0/L0 volatility scaling, where the calculation utilizes the High and Low of the very first loaded bar to normalize the exponential decay of the buying/selling pressure. Disclaimer: Past performance is not indicative of future results. This strategy is provided for educational purposes and demonstrates how to automate James Sibbet's Demand Index based on specific Sierra Chart logic.
Pine Script® stratejisi
p_zerbst tarafından
Demand Index##Description: This indicator is a precise Pine Script replica of the "Demand Index" (Study ID 139) as found in the Sierra Chart trading platform. Originally developed by James Sibbet, the Demand Index combines price and volume data to measure buying and selling pressure. It is often considered a leading indicator, anticipating price trend changes by identifying divergences between the price action and the volume flow. ##Key Features & Formula Logic This script strictly follows the official documentation provided by Sierra Chart to ensure the values match the original platform as closely as possible. Specific calculation details included in this port: - P(HL2C): Uses the weighted average (High + Low + 2*Close). - Range Calculation: Uses a Moving Range based on Max(High, 2) - Min(Low, 2). - The H0/L0 Factor: A unique characteristic of the Sierra Chart formula is the use of H0 and L0 (the High and Low of the first loaded bar in history) to scale the volatility exponent. This script replicates that behavior. Note: Because H0 and L0 depend on the start of the loaded data, values may shift slightly if the amount of historical data on your chart changes. This is consistent with how the study behaves in Sierra Chart. - Complex Weighting: Calculates "Buy Power" and "Sell Power" using the specific exponential decay formula outlined in SC ID 139. ##Settings (Inputs) - Buy/Sell Power Length (nBS): Length for smoothing Volume and Range (Default: 19). - Buy/Sell Power MA Length: Length for the smoothing of the calculated Buy/Sell Power (Default: 19). - Demand Index MA Length: Length for the final Simple Moving Average (SMA) of the Demand Index (Default: 19). - MA Type: Choose the smoothing algorithm for intermediate steps (EMA, SMA, WMA, RMA). Default is EMA. ##How to Trade / Interpret - Divergence: The most powerful signal. If price makes a new High but the Demand Index fails to reach a new High, it suggests Buying Power is weakening (Bearish Divergence). Conversely for Bullish Divergence. - Zero Line Cross: A cross above zero indicates Buy Power > Sell Power (Bullish). A cross below zero indicates Sell Power > Buy Power (Bearish). Disclaimer: This script is for educational and analytical purposes only. It is a code conversion based on public documentation of Sierra Chart Study ID 139. Sierra Chart, best trading software, EVER! With the best datafeet. Denali Exchange Data Feed.
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p_zerbst tarafından
Custom Dividers [louis]Custom Dividers is a streamlined utility designed for Multi-Timeframe Analysis (MTF). It allows you to visualize higher timeframe structures directly on lower timeframe charts by drawing infinite vertical lines at the open of new periods. Unlike standard grid lines and other divider indicators, this has custom inputs, giving you complete control over non-standard timeframes (e.g., 90-minute cycles, 6-hour blocks, or 2-day periods). 🔑 Key Features - 4 Independent Timeframe Slots: Configure up to four different vertical dividers simultaneously. - Custom Minute Inputs (TF 1 & TF 2): Instead of restricting you to a dropdown, the first two slots allow you to input any integer for minutes. Example: Set 90 for 90-minute cycle dividers. Example: Set 360 for 6-hour dividers. - Standard Timeframe Selectors (TF 3 & TF 4): Traditional dropdowns for standard periods like Daily (D), Weekly (W), or Monthly (M). - Visual Customization: Lines: Uses line.new() drawing logic to ensure dividers stretch infinitely from top to bottom, regardless of price scale. Styles: Select from Solid, Dashed, or Dotted directly in the inputs. Width & Color: Fully customizable to blend into your chart theme. ⚙️ How to Configure Go to the Settings (Inputs Tab): TF 1 & TF 2: Enter the specific number of minutes (e.g., 60 = 1 Hour, 240 = 4 Hours). Toggle the checkbox to Show/Hide. TF 3 & TF 4: Select the timeframe period from the dropdown. Toggle the checkbox to Show/Hide. Style: Choose your line style, color, and width. Note: Since this indicator uses geometric drawings (line.new) to achieve full-height vertical lines, all visual settings (Color, Width, Style) are located in the Inputs Tab, not the Style tab.
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louisq69 tarafından