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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.
مؤشر Pine Script®
من ‎mad_tom_trading‎
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.
مؤشر Pine Script®
من ‎neeson1987‎
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).
مؤشر Pine Script®
من ‎LuxAlgo‎
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.
مؤشر Pine Script®
من ‎Dinjin‎
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.
مؤشر Pine Script®
من ‎neeson1987‎
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.
مؤشر Pine Script®
من ‎neeson1987‎
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.
مؤشر Pine Script®
من ‎DataWinsEmotionsLose‎
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.
استراتيجية Pine Script®
من ‎p_zerbst‎
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.
مؤشر Pine Script®
من ‎p_zerbst‎
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.
مؤشر Pine Script®
من ‎louisq69‎
Apex Wallet - Bitcoin Halving Cycle & Profit ProjectionOverview The Apex Wallet Bitcoin Halving Cycle Profit is a strategic macro-analysis tool designed for Bitcoin investors and long-term holders. It provides a visual framework of Bitcoin's 4-year cycles by identifying past halving dates and projecting future ones automatically. The script highlights key accumulation and profit-taking windows based on historical cycle performance. Dynamic Cycle Intelligence Halving Milestones: Automatically detects and marks all major halving events (2012, 2016, 2020, 2024) with precise timestamps. Predictive Projections: Using an estimated 1,460-day cycle, the script projects up to 30 future halving events to help plan long-term investment horizons. Timeframe Optimization: Built specifically for Weekly (W) and Monthly (M) charts to provide a clean, high-level perspective of market structure. Key Strategy Visuals Profit Windows: Visualizes "Start" and "End" profit zones with automated vertical lines and color-coded labels based on user-defined offsets from the halving. DCA Chain Signals: Identifies strategic Dollar Cost Averaging (DCA) points throughout the cycle to assist in disciplined accumulation. Heatmap Shading: Features dynamic background shading that intensifies as the cycle progresses toward historical peak performance periods. How to Use: Switch to a Weekly or Monthly Bitcoin chart. Use the Green Labels (Profit START) to identify early cycle strength. Monitor the Red Labels (Profit END) for historical cycle exhaustion zones.
مؤشر Pine Script®
من ‎Apex-Wallet‎
Scalp Breakout Predictor Pro - by Herman Sangivera (Papua)Scalp Breakout Predictor Pro by Herman Sangivera ( Papuan Trader ) Overview The Scalp Breakout Predictor Pro is a high-performance technical indicator designed for scalpers and day traders who thrive on market volatility. This tool specializes in identifying "Squeeze" phases—periods where the market is consolidating sideways—and predicts the likely direction of the upcoming breakout using underlying momentum accumulation. How It Works The indicator combines three core mathematical concepts to ensure "Safe but Fast" entries: Squeeze Detection (BB vs. KC): It monitors the relationship between Bollinger Bands and Keltner Channels. When Bollinger Bands contract inside the Keltner Channels, the market is in a "Squeeze" (represented by the gray background). This indicates that energy is being coiled for a massive move. Momentum Accumulation (Pre-Signal): While the price is still moving sideways, the script analyzes linear regression momentum. PRE-BULL: Momentum is building upwards despite price being flat. PRE-BEAR: Momentum is fading downwards despite price being flat. Breakout Confirmation: An entry signal is only triggered when the Squeeze "fires" (the price breaks out of the bands), ensuring you don't get stuck in a dead market for too long. Key Features Real-time Prediction Labels: Get early warnings (PRE-BULL / PRE-BEAR) to prepare for the trade before it happens. Dynamic TP/SL Lines: Automatically calculates Take Profit and Stop Loss levels based on the Average True Range (ATR), adapting to the current market's "breath." On-Screen Dashboard: A sleek table in the top-right corner displays the current market phase (Squeeze vs. Volatile), the predicted next move, and the current ATR value. Pine Script V6 Optimized: Built using the latest version of TradingView’s coding language for maximum speed and compatibility. Trading Rules Preparation: When you see a Gray Background, the market is sideways. Watch the Dashboard for the "Potential" direction. Anticipation: If a PRE-BULL or PRE-BEAR label appears, get ready to enter. Execution: Enter the trade when the ENTRY BUY (Lime Triangle) or ENTRY SELL (Red Triangle) signal appears. Exit: Follow the Green Line for Take Profit and the Red Line for Stop Loss. Technical Settings HMA Length: Adjusts the sensitivity of the trend filter (Hull Moving Average). TP/SL Multipliers: Allows you to customize your Risk:Reward ratio based on ATR volatility. Squeeze Length: Determines the lookback period for consolidation detection. Disclaimer: Scalping involves high risk. Always test this indicator on a demo account before using it with live capital.
مؤشر Pine Script®
من ‎hermanwomsiwor‎
Precision Multi-Dimensional Signal System V2Precision Multi-Dimensional Signal System (PMSS) - Technical Documentation Overview and Philosophical Foundation The Precision Multi-Dimensional Signal System (PMSS) represents a systematic approach to technical analysis that integrates four distinct analytical dimensions into a cohesive trading framework. This script operates on the principle that market movements are best understood through the convergence of multiple independent analytical methods, rather than relying on any single indicator in isolation. The system is designed to function as a multi-stage filtering funnel, where potential trading opportunities must pass through successive layers of validation before generating actionable signals. This approach is grounded in statistical theory suggesting that the probability of accurate predictions increases when multiple uncorrelated analytical methods align. Integration Rationale and Component Synergy 1. Trend Analysis Layer (Dual Moving Average System) Components: SMA-50 and SMA-200 Purpose: Establish primary market direction and filter against counter-trend signals Integration Rationale: SMA-50 provides medium-term trend direction SMA-200 establishes long-term trend context The dual-MA configuration creates a trend confirmation mechanism where signals are only generated in alignment with the established trend structure This layer addresses the fundamental trading principle of "following the trend" while avoiding the pitfalls of single moving average systems that frequently generate whipsaw signals 2. Momentum Analysis Layer (MACD) Components: MACD line, signal line, histogram Purpose: Detect changes in market momentum and identify potential trend reversals Integration Rationale: MACD crossovers provide timely momentum shift signals Histogram analysis confirms momentum acceleration/deceleration This layer acts as the primary trigger mechanism, initiating the signal evaluation process The momentum dimension is statistically independent from the trend dimension, providing orthogonal confirmation 3. Overbought/Oversold Analysis Layer (RSI) Components: RSI with adjustable threshold levels Purpose: Identify potential reversal zones and market extremes Integration Rationale: RSI provides mean-reversion context to momentum signals Extreme readings (oversold/overbought) indicate potential exhaustion points This layer prevents entry at statistically unfavorable price levels The combination of momentum (directional) and mean-reversion (cyclical) indicators creates a balanced analytical framework 4. Market Participation Layer (Volume Analysis) Components: Volume surge detection relative to moving average Purpose: Validate price movements with corresponding volume activity Integration Rationale: Volume confirms the significance of price movements Volume surge detection identifies institutional or significant market participation This layer addresses the critical aspect of market conviction, filtering out low-confidence price movements Synergistic Operation Mechanism The script operates through a sequential validation process: Stage 1: Signal Initiation Triggered by either MACD crossover or RSI entering extreme zones This initial trigger has high sensitivity but low specificity Multiple trigger mechanisms ensure the system remains responsive to different market conditions Stage 2: Trend Context Validation Price must be positioned correctly relative to both SMA-50 and SMA-200 For buy signals: Price > SMA-50 > SMA-200 (bullish alignment) For sell signals: Price < SMA-50 < SMA-200 (bearish alignment) This layer eliminates approximately 40-60% of potential false signals by enforcing trend discipline Stage 3: Volume Confirmation Must demonstrate above-average volume participation (configurable multiplier) Volume surge provides statistical confidence in the price movement This layer addresses the "participation gap" where price moves without corresponding volume Stage 4: Signal Quality Assessment Each condition contributes to a quality score (0-100) Higher scores indicate stronger multi-dimensional alignment Quality rating helps users differentiate between marginal and high-conviction signals Original Control Mechanisms 1. Signal Cooldown System Purpose: Prevent signal overload and encourage trading discipline Mechanism: After any signal generation, the system enters a user-defined cooldown period During this period, no new signals of the same type are generated This reduces emotional trading decisions and filters out clustered, lower-quality signals Empirical testing suggests optimal cooldown periods vary by timeframe (5-10 bars for daily, 10-20 for 4-hour) 2. Visual State Tracking Purpose: Provide intuitive market phase identification Mechanism: After a buy signal: Subsequent candles are tinted light blue After a sell signal: Subsequent candles are tinted light orange This creates a visual "holding period" reference Users can quickly identify which system state is active and for how long Practical Implementation Guidelines Parameter Configuration Strategy Timeframe Adaptation: Lower timeframes: Increase volume multiplier (2.0-3.0x) and use shorter cooldown periods Higher timeframes: Lower volume requirements (1.5-2.0x) and extend confirmation periods Market Regime Adjustment: Trending markets: Emphasize trend alignment and MACD components Range-bound markets: Increase RSI sensitivity and enable volatility filtering Signal Level Selection: Level 1: Suitable for active traders in high-liquidity markets Level 2: Balanced approach for most market conditions Level 3: Conservative setting for high-probability setups only Risk Management Integration Use quality scores as position sizing guides Higher quality signals (Q≥80) warrant standard position sizes Medium quality signals (60≤Q<80) suggest reduced position sizing Lower quality signals (Q<60) recommend caution or avoidance Empirical Limitations and Considerations Statistical Constraints No trading system guarantees profitability Historical performance does not predict future results System effectiveness varies by market conditions and timeframes Maximum historical win rates in backtesting range from 55-65% in optimal conditions Market Regime Dependencies Strong Trending Markets: System performs best with clear directional movement High Volatility/Ranging Markets: Increased false signal probability Low Volume Conditions: Volume confirmation becomes less reliable User Implementation Requirements Time Commitment: Regular monitoring and parameter adjustment Market Understanding: Basic knowledge of technical analysis principles Discipline: Adherence to signal rules and risk management protocols Technical Validation Framework Backtesting Methodology Multi-timeframe analysis across different market conditions Parameter optimization through walk-forward analysis Out-of-sample validation to prevent curve fitting Performance Metrics Tracked Win rate percentage across different signal qualities Average win/loss ratio per signal category Maximum consecutive wins/losses Risk-adjusted return metrics Innovative Contributions Multi-Dimensional Scoring System Original quality scoring algorithm weighting each dimension appropriately Dynamic adjustment based on market conditions Visual representation through signal labels and information panel Integrated Information Dashboard Real-time display of all system dimensions Color-coded status indicators for quick assessment Historical context for current signal generation Adaptive Filtering Mechanism Configurable strictness levels without code modification User-adjustable sensitivity across all dimensions Preset configurations for different trading styles Conclusion and Appropriate Usage The PMSS represents a sophisticated but accessible approach to multi-dimensional technical analysis. Its strength lies not in predictive accuracy but in systematic risk management through layered confirmation. Users should approach this tool as: A Framework for Analysis: Rather than a black-box trading system A Decision Support Tool: To be combined with fundamental analysis and market context A Learning Instrument: For understanding how different analytical dimensions interact The most effective implementation combines this technical framework with sound risk management principles, continuous learning, and adaptation to evolving market conditions. As with all technical tools, success depends more on the trader's discipline and judgment than on the tool itself. Disclaimer: This documentation describes the technical operation of the PMSS indicator. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Users should thoroughly test any trading system in a risk-free environment before committing real capital.
مؤشر Pine Script®
من ‎neeson1987‎
HVP Diario CC/CSPThis HVP Daily CC/CSP indicator is designed for traders seeking consistent income through options selling, transforming daily volatility into a clear, objective, and actionable guide: it shows you exactly when NOT to sell options due to weak premiums, when to take advantage of moderate volatility to safely sell PUTs, and when volatility is high enough to sell CALLs with superior returns. Everything is based on a percentile calculation that compares current volatility with its historical behavior, smoothed to eliminate noise and enhanced with an EMA that reveals the true market trend. If you want to trade with discipline, avoid bad weeks, and maximize your weekly income through simple, visual, and precise signals, this indicator is for you.
مؤشر Pine Script®
من ‎josehernandezvalcarcel‎
Institutional Top-Bottom by Herman Sangivera (Papua)Institutional Top-Bottom + Volume Profile by Herman Sangivera ( Papua ) 📈 Component Description Orange Line (POC - Point of Control): This represents the "Fair Value." Institutions view prices far above this line as "Expensive" (Premium) and prices below as "Cheap" (Discount). Green/Red Boxes (Order Blocks): These are footprints left by big banks. A Green Box is a demand zone where institutional buying occurred, and a Red Box is a supply zone where institutional selling happened. Institutional Labels: These appear when the RSI Divergence confirms that price momentum is fading, signaling a high-probability reversal (Top or Bottom). 🚀 Trading Strategy Guide 1. The High-Probability Buy Setup (Bottom) Look for a "Confluence" of these three factors: Location: Price is trading below the Orange POC line (Discount zone). The Zone: Price enters or touches a Green Order Block. The Signal: The "INSTITUTIONAL BUY" label appears. Entry: Enter Buy at the close of the candle with the label. Stop Loss: Place it just below the Green Order Block. Take Profit: Target the Orange POC line or the nearest Red Order Block. 2. The High-Probability Sell Setup (Top) Look for a "Confluence" of these three factors: Location: Price is trading above the Orange POC line (Premium zone). The Zone: Price enters or touches a Red Order Block. The Signal: The "INSTITUTIONAL SELL" label appears. Entry: Enter Sell at the close of the candle with the label. Stop Loss: Place it just above the Red Order Block. Take Profit: Target the Orange POC line or the nearest Green Order Block. 💡 Pro Tips for Accuracy Timeframes: For the best results, use 15m for Scalping, and 1H or 4H for Day/Swing Trading. Wait for the Candle Close: Labels are based on Pivot points. Always wait for the current candle to close to ensure the signal is locked and won't "repaint." Avoid Flat Markets: This indicator works best when there is volatility. Avoid using it during "choppy" or sideways markets with very low volume.
مؤشر Pine Script®
من ‎hermanwomsiwor‎
Market Trend AnalyserThis indicator identifies high-quality entries using market structure concepts such as Change of Character (ChoCH) and Break of Structure (BOS), rather than relying on lagging traditional indicators. How to use : Enter trades on ChoCH and BOS signals (both long and short). To reduce market noise, it is recommended to apply: An ATR filter with a minimum value of 1 An ADX filter with a minimum value of 15 You may also enable a moving average (MA) filter to avoid trading against the prevailing trend.
مؤشر Pine Script®
من ‎thierrywallet‎
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