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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.
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Anurag1123 tarafından
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
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dovetIlflenkydove tarafından
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
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CL24 tarafından
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.
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Kerem1043 tarafından
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.
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Mentor_Michael03 tarafından
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.
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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!"
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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.
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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.
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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