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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.
Pine Script® インジケーター
mad_tom_tradingの投稿
2
Neeson Trend Price Oscillator Pulse EditionNeeson Trend Price Oscillator Pulse Edition: A Comprehensive Market Cycle Analysis Tool Overview and Purpose The Trend Price Oscillator Pulse Edition is a sophisticated technical analysis indicator designed to identify major market cycle tops and bottoms. This tool operates as a standalone oscillator in a subchart, providing clear visual signals of overbought and oversold conditions within the context of long-term market cycles. Developed for position traders and long-term investors, it focuses on capturing significant market turning points rather than short-term fluctuations. Integration Rationale and Component Synergy The indicator integrates three core analytical concepts into a cohesive system: Detrended Price Oscillator (DPO) Foundation: Traditional DPO methodology isolates cyclical price movements by removing the underlying trend component. This creates a clearer view of oscillatory behavior without the distortion of long-term directional bias. Normalization Framework: By converting raw DPO values to a standardized 0-100 scale, the indicator establishes consistent reference points for market extremes across different instruments and timeframes. This normalization enables meaningful comparison of oscillator readings regardless of absolute price levels. Dynamic Threshold System: The implementation of adjustable threshold levels (default: 95% for overbought, 5% for oversold) creates adaptive boundaries that respond to changing market volatility and cycle characteristics. These components work synergistically: The DPO extracts cyclical information from price action, the normalization process standardizes this information for consistent interpretation, and the threshold system provides actionable decision points based on historical extremes. Operational Mechanism The indicator calculates a detrended price value by comparing current price against a displaced moving average. This detrended value is then normalized against its historical range over a specified lookback period, transforming it into a percentage-based oscillator. A smoothing filter is applied to reduce noise and highlight significant movements. The oscillator's movement through threshold zones generates four distinct market signals: Entry into overbought territory (crossing above 95%) Exit from overbought territory (crossing below 95%) Entry into oversold territory (crossing below 5%) Exit from oversold territory (crossing above 5%) Each signal corresponds to a specific market condition hypothesis regarding institutional versus retail trader dynamics in major market cycles. Practical Application Guidelines Primary Use Cases: Identification of potential major cycle turning points on weekly and monthly timeframes Confirmation tool for existing trading strategies requiring cycle analysis Risk management through recognition of extreme market conditions Interpretation Framework: Overbought Conditions (Oscillator ≥ 95%): Suggest potential selling pressure from major market participants. Consider reducing long exposure or implementing protective measures. Oversold Conditions (Oscillator ≤ 5%): Indicate potential accumulation zones by institutional buyers. Consider establishing or adding to long positions using dollar-cost averaging strategies. Threshold Crossings: Monitor for exits from extreme zones as potential confirmation that a cycle peak or trough may have formed. Parameter Considerations: Default parameters (548-period oscillator, 274-period offset, 1096-period lookback) are optimized for identifying major market cycles. Users may adjust these values for different market conditions or timeframes, though significant parameter changes will alter the indicator's sensitivity and signal frequency. Originality and Distinctive Features This implementation incorporates several innovative aspects: Extended Cycle Focus: Unlike most oscillators designed for shorter timeframes, this tool employs exceptionally long calculation periods specifically for identifying primary market cycles. Dynamic Normalization: The lookback-based normalization adapts to changing market conditions without requiring manual recalibration. Multi-Signal Alert System: Four distinct alert conditions provide nuanced information about market state transitions rather than simple binary signals. Integrated Risk Context: Each signal includes contextual information about potential market participant behavior, encouraging disciplined risk management. Empirical Considerations and Limitations The indicator provides probabilistic assessments based on historical price behavior, not predictive certainties. Market conditions may change, rendering historical patterns less reliable. Users should consider: The indicator performs best in trending or cyclical markets; it may generate false signals during extended range-bound periods. No technical indicator, including this one, can guarantee future market movements. Proper position sizing and risk management should accompany all trading decisions, regardless of indicator signals. Expected User Outcomes When used as part of a comprehensive trading plan, this indicator can help users: Identify potential reversal zones in major market cycles Develop patience by focusing on significant rather than frequent trading opportunities Maintain objective perspective during market extremes through quantitative assessment Coordinate entry and exit timing with cycle analysis The Trend Price Oscillator Pulse Edition represents a specialized tool for traders seeking to align their strategies with major market cycles through systematic analysis of price oscillation behavior relative to long-term trends.
Pine Script® インジケーター
neeson1987の投稿
Astrology Weekly Time Calendar [yigdeli]Overview Thanks to @twingall for their support and feedback. Astrology Weekly Time Calendar is a time-based visualization indicator designed for users who already work with astrology-based market timing methods. Instead of analyzing price or generating signals, the indicator focuses exclusively on structuring and projecting user-defined time expectations onto the chart. It displays predefined future time windows in a session-style format, allowing users to visually reference their own outlook within upcoming periods. 📌 This tool does not attempt to predict price behavior. It provides a structured visual context for time-based expectations defined by the user. 📸 Clean chart showing multiple vertical time boxes across a full week. Caption: Example of user-defined weekly time windows visualized in a session-style format. Core Concept This indicator does not calculate, interpret, or validate astrological data. All astrology-related expectations: Are determined externally by the user Are based on the user’s own research, methodology, or experience Are manually entered into the script via input sessions The indicator acts purely as a visual organization layer, aligning these predefined time windows with the chart’s timeframe and timezone. How It Works The user performs their own astrology-based time analysis externally Based on this analysis, the user defines specific time windows (e.g. active, neutral, or mixed periods) These time windows are manually entered into the indicator inputs The script projects these ranges forward on the chart as vertical time zones, similar to a session-based tool The indicator does not evaluate the validity or effectiveness of any external methodology. All interpretation remains entirely the responsibility of the user. 📸 Zoomed-in chart showing a single day with multiple colored time boxes. Caption: Close-up view of intraday time windows with customizable colors and labels. Visual Structure Each time window is displayed as a vertical box on the chart Colors are fully customizable and represent user-defined classifications Optional labels may display: Day Date Time The vertical height of boxes is purely cosmetic and does not represent price levels, targets, outcomes, or performance The indicator is designed to remain visually clean while supporting complex weekly structures. ⚠️ Note on Colors and Example Charts The colors used in the example charts are default visual settings and are shown for illustration purposes only. They do not represent factual market outcomes, validated results, or verified historical behavior. All displayed time windows are purely visual references based on user-defined inputs and should not be interpreted as reflections of actual market performance. Manual Input – How to Define Time Windows All time windows displayed by the indicator are manually defined by the user. Users first determine their own time expectations externally, then enter the corresponding date and time ranges into the script inputs (similar to defining sessions). The indicator does not generate, modify, or validate these values. It only visualizes the user-defined time windows on the chart. This approach ensures full flexibility while keeping all interpretation under the user’s control. How to Fill the Inputs (Example Workflow) Time windows are defined sequentially, similar to session-based configurations. Each new time range always starts where the previous one ends. This ensures a continuous and organized structure throughout the day. Example (Monday): First time window: 00:00 → 03:55 Second time window: 03:55 → 07:30 Third time window: 07:30 → 10:00 Fourth time window: 10:00 → 15:00 …and so on The end time of one window becomes the start time of the next window. Users are free to define as many time ranges as needed for each day. Notes Field (Optional) Each time window includes an optional notes field, which is empty by default. Users may use this field to record: Lunar phases Cycles Important astrological references Personal observations The indicator does not interpret or process these notes. They are displayed purely for user reference. Time Zone & Display Options Time ranges can be defined according to the user’s local time zone using the time zone selector Users may optionally enable or disable: Day name Date Time labels directly on the chart These display settings allow users to customize how much contextual information is shown, without affecting the underlying time windows. 📸 Settings panel showing session/time inputs, color selections, and note fields. Caption: Example of manually entered time ranges and optional notes used to define weekly time expectations. 📸 Full settings panel overview with multiple days and sessions configured. Caption: Overview of input settings used to organize and customize weekly time windows. Intended Users This indicator is intended for: Users familiar with astrology-based market timing Traders who already define their own time expectations externally Advanced or niche users seeking a structured way to visualize time-based outlooks It is not designed as a general-purpose trading indicator. What This Script Does NOT Do ❌ Does not generate buy or sell signals ❌ Does not predict price direction ❌ Does not calculate astrological data ❌ Does not provide financial or trading advice The script is strictly a time-window visualization tool. Disclaimer This indicator is provided for visual and analytical purposes only. It does not constitute financial advice. Users should apply their own judgment, confirmation methods, and risk management when using this tool. Past or future visualizations shown in examples do not imply any form of performance expectation.
Pine Script® インジケーター
yigdeliの投稿
4
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).
Pine Script® インジケーター
LuxAlgoの投稿
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.
Pine Script® インジケーター
Dinjinの投稿
bitcoin Multi-Timeframe Trend Analysis Toolbitcoin Multi-Timeframe Trend Analysis Tool: A Comprehensive Guide for Market Cycle Identification Introduction The Multi-Timeframe Trend Analysis Tool is a sophisticated technical indicator designed to help traders identify critical market phases across different time horizons. This tool synthesizes multiple established technical analysis concepts into a unified framework, specifically optimized for high-volatility markets such as cryptocurrencies and alternative coins (altcoins). By integrating trend-following, momentum, and mean-reversion principles, it provides visual cues for strategic entry and exit points throughout market cycles. Core Philosophy and Integration Rationale The indicator's design philosophy centers on the principle that different market phases require different analytical approaches. Rather than relying on a single indicator, which often produces false signals during complex market conditions, this tool combines multiple technical components that complement each other's strengths and compensate for individual weaknesses. The integration follows a logical hierarchy: Trend Identification through multiple EMA periods establishes the market's primary direction Momentum Confirmation via multiple MACD configurations validates trend strength and potential reversals Multi-timeframe Alignment ensures signals are significant across both short-term and long-term perspectives This layered approach reduces the likelihood of whipsaws and increases the statistical significance of generated signals. Component Synergy and Operational Mechanics 1. EMA System: The Trend Foundation The tool employs six Exponential Moving Averages organized into two groups: Long-term EMA Group (200, 300, 700 periods): The 200-period EMA serves as the primary trend baseline The 300-period EMA provides confirmation of the longer-term direction The 700-period EMA represents the "macro trend" and helps identify major cycle shifts Medium-term EMA Group (18, 36, 63 periods): These shorter EMAs capture intermediate trend dynamics The relationship between these EMAs helps identify acceleration or deceleration in trend momentum The EMA system works by comparing relationships between different period lengths. For instance, when shorter EMAs are positioned below longer EMAs, it confirms a bearish trend structure, while the opposite configuration suggests bullish momentum. 2. Multi-Period MACD System: Momentum and Divergence Detection The tool implements three separate MACD configurations, each serving a distinct purpose: Bottom MACD (168/364/6 periods): Designed to capture long-term momentum shifts at potential market bottoms The extended periods (168 and 364) filter out short-term noise while highlighting significant trend changes Particularly effective at identifying oversold conditions during prolonged downtrends Top MACD (108/234/9 periods): Optimized for detecting momentum deterioration at potential market tops The period selection is based on historical analysis of bull market cycles Helps identify when bullish momentum is weakening before price action clearly reverses Local Top MACD (9/36/9 periods): Functions as an early warning system for short-term corrections Particularly useful for swing traders and risk management Can help identify profit-taking opportunities during ongoing trends The three MACDs operate independently but collectively provide a comprehensive view of momentum across different time horizons. When multiple MACDs simultaneously show confirming signals, the reliability of the indication increases significantly. 3. Signal Generation Logic: Conditional Framework Signals are generated only when multiple conditions align across different components: Accumulation Zone Conditions: Requires both trend alignment (200 EMA below 300 EMA) AND either: Price trading at a significant discount to the 200 EMA (suggesting oversold conditions), OR The 200 EMA itself declining sharply (confirming bearish momentum exhaustion) This dual requirement prevents false accumulation signals during healthy downtrends Strong Buy Zone Conditions: Includes all accumulation zone requirements PLUS: Sharp decline in the 36-period EMA (suggesting panic or capitulation) Accelerated decline in the 200 EMA (confirming bearish exhaustion) This represents a higher-conviction signal with multiple confirming factors Potential Bull Market Top Conditions: Requires the 700 EMA to be rising sharply (confirming extended bullish trend) AND Top MACD showing bearish divergence (momentum weakening) AND Short-term EMA alignment still bullish (indicating the top is forming amid strength) This combination helps distinguish between minor corrections and major trend reversals Local Top Warning Conditions: Triggered when the 700 EMA shows accelerated gains (potential euphoria phase) AND The Local Top MACD shows bearish momentum divergence Serves as a risk management tool rather than a direct reversal signal Practical Application and Usage Guidelines For Long-Term Investors: Monitor for "Accumulation Zone" signals during market downturns Consider initiating or adding to positions during "Strong Buy Zone" signals Use these signals for dollar-cost averaging strategies rather than timing exact bottoms Hold through intermediate fluctuations unless "Potential Bull Market Top" signals appear For Trend Traders: Use EMA alignments to confirm trend direction before entering positions Employ "Local Top Warnings" to secure profits on portions of positions Watch for alignment between medium-term EMA direction and MACD signals for entry timing Consider "Potential Bull Market Top" signals as reasons to reduce exposure or implement hedging strategies For Risk Managers: Use "Local Top Warnings" to tighten stop-losses or reduce position sizes Monitor the relationship between price and the 200 EMA for overall market health assessment Track multiple timeframes to distinguish between normal volatility and potential trend changes Originality and Distinctive Features This tool represents a novel synthesis of existing technical concepts rather than a completely new indicator. Its originality stems from: Purpose-Specific MACD Configurations: Unlike standard MACD implementations, each of the three MACDs is optimized for a specific market condition, with period lengths derived from empirical analysis of market cycles. Multi-Layered Confirmation Framework: Signals require alignment across trend, momentum, and rate-of-change dimensions, reducing false positives common in single-indicator systems. Progressive Signal Hierarchy: The tool distinguishes between initial warning signals ("Local Top Warnings") and higher-conviction reversal signals ("Potential Bull Market Tops"), allowing for graduated responses. Combination of Absolute and Relative Conditions: The logic incorporates both absolute price relationships (price vs. EMA levels) and rate-of-change metrics (EMA acceleration/deceleration), capturing both state and momentum information. Limitations and Considerations Lagging Nature: Like all trend-following indicators, this tool reacts to established conditions rather than predicting future movements. Early trend phases may not generate signals. Parameter Sensitivity: The default parameters are optimized for daily cryptocurrency charts. Performance may vary across different asset classes or timeframes. Complementary Analysis Required: This tool should be used alongside fundamental analysis, volume confirmation, and market structure considerations. No Guarantee of Performance: Past success in identifying market phases does not ensure future accuracy. All trading involves risk, and no indicator provides certainty. Conclusion The Multi-Timeframe Trend Analysis Tool provides a structured approach to identifying significant market phases by integrating trend, momentum, and mean-reversion concepts across multiple time horizons. Its value lies not in predicting exact turning points but in identifying zones of increasing probability for trend changes, allowing traders to adjust their strategies accordingly. When used as part of a comprehensive trading plan with proper risk management, it can help traders navigate complex market environments with greater clarity and discipline. The tool is particularly suited to the extended trends and pronounced cycles characteristic of cryptocurrency markets, though its principles apply across various financial instruments. As with all technical tools, its effectiveness increases with user understanding of both its mechanisms and its limitations.
Pine Script® インジケーター
neeson1987の投稿
Bitcoin Macro Trend IndicatorBitcoin Macro Trend Indicator: A Multi-Timeframe Confirmation System for Strategic Positioning Introduction The Bitcoin Macro Trend Indicator is a comprehensive technical analysis tool designed for cryptocurrency traders and investors seeking to navigate Bitcoin's volatile cycles. It integrates multiple exponential moving averages (EMAs) and MACD variations into a unified system that identifies long-term accumulation zones, bull market tops, and strategic re-entry points. This document outlines the logical foundation of this integration, explains the synergistic operation of its components, and provides practical guidance for its application. Rationale for Multi-Indicator Integration Bitcoin's market behavior exhibits distinct cyclical patterns characterized by extended accumulation periods, parabolic advances, and sharp corrections. Single indicators often generate false signals during volatile conditions. This system employs a layered confirmation approach where: Ultra-long-term EMAs establish the primary trend context Medium-term EMA crossovers identify trend transitions Multiple MACD configurations detect momentum shifts across different time horizons This multi-timeframe methodology reduces noise and increases signal reliability by requiring convergence across independent but complementary technical elements. Component Synergy and Operational Mechanism 1. EMA Framework: The Trend Foundation 700-period EMA: Serves as the primary trend baseline. Prices below this line suggest long-term undervaluation (accumulation territory), while sustained positions above indicate established bull markets. 18/63-period EMA Pair: Functions as the core trend transition system. The golden cross (18 above 63) confirms bullish momentum, while the death cross signals potential trend exhaustion. 12/52-period EMA Pair: Specialized for identifying renewed momentum after corrections within ongoing trends, reducing premature re-entry during false recoveries. 12-period EMA (Auxiliary): Provides early warning of short-term trend deterioration that may precede larger corrections. 2. MACD Ensemble: Momentum Verification Bottom MACD (168/364/6): With exceptionally slow parameters, this configuration filters out short-term noise to identify genuine long-term momentum shifts characteristic of market bottoms. Top MACD (63/133/1): Optimized for detecting momentum divergence at potential market tops, where traditional MACD settings often lag. Local Top Warning MACD (30/65/4): Balanced to capture intermediate-term momentum deterioration that frequently precedes significant pullbacks. Early Bull MACD (9/19/6): Sensitive to initial momentum surges following accumulation periods, providing early confirmation of trend initiation. 3. Signal Hierarchy and Progressive Confirmation The indicator employs a cascading confirmation logic: Stage 1 (Accumulation): Requires both long-term MACD improvement AND price position below the 700-period EMA. Strong accumulation signals add Early Bull MACD confirmation. Stage 2 (Warning): Local top warnings activate only when multiple conditions align: medium-term trend remains bullish, ultra-long-term trend confirms strength, AND specialized MACDs show momentum deterioration. Stage 3 (Re-entry): Requires both EMA crossover confirmation AND momentum recovery in the warning MACD, reducing false continuation signals. Stage 4 (Top Confirmation): The most stringent criteria, demanding convergence across long-term, medium-term, and momentum indicators before signaling major trend reversal. Practical Application and Interpretation Signal Classification System Accumulation Zones (Green): Areas where long-term indicators suggest undervaluation. These represent strategic buying opportunities for patient investors. Strong Accumulation Signals (Dark Green): Enhanced accumulation zones with additional momentum confirmation, suggesting higher-probability entry points. Local Top Warnings (Orange/Red): Progressive warnings of increasing risk, with red zones indicating conditions historically associated with more severe corrections. Re-entry Opportunities (Blue): Post-correction zones where momentum recovery aligns with trend resumption signals. Bull Market Termination (Purple): Signals suggesting completion of major advance cycles, prompting defensive positioning. Top Confirmation (Dark Red): High-confidence reversal signals with multi-timeframe confirmation. Usage Guidelines Timeframe Recommendation: Designed primarily for daily and weekly charts where macroeconomic trends are most evident. Position Sizing: Accumulation signals support gradual position building, while warning signals suggest reducing exposure rather than immediate liquidation. Corroboration: Although self-contained, the indicator performs best when combined with volume analysis and fundamental considerations. Historical Validation: Users should review signal performance across multiple market cycles to understand characteristic behaviors. Limitations and Considerations No technical indicator predicts market movements with absolute certainty. This tool provides probabilistic assessments based on historical patterns. Extraordinary market events or fundamental shifts may override technical signals. The indicator's parameters, while optimized for Bitcoin's historical behavior, may require adjustment for unprecedented market conditions. Signals should be interpreted in context of overall market structure and trader/investor time horizon. Originality and Differentiation This system represents a novel synthesis of established technical concepts through: Parameter Optimization: Specific EMA and MACD periods calibrated to Bitcoin's characteristic volatility and cycle duration. Conditional Layering: Unlike single-criterion systems, signals require convergence across independent technical dimensions. Progressive Warning System: Multi-stage alerts that distinguish between routine corrections and potential trend reversals. Macro-Micro Integration: Simultaneous analysis of ultra-long-term trends and short-term momentum shifts. Empirical Foundation The indicator's design incorporates observations from Bitcoin's market behavior since 2010, particularly: The tendency for major bottoms to form during extended periods below long-term moving averages Characteristic momentum patterns preceding significant tops The predictive value of specific EMA relationships during different market phases Historical performance of multi-timeframe confirmation versus single indicators Conclusion The Bitcoin Macro Trend Indicator provides a structured framework for identifying high-probability turning points in Bitcoin's market cycles. By integrating multiple technical perspectives into a confirmation hierarchy, it reduces reaction to market noise while maintaining sensitivity to genuine trend changes. Users should employ this tool as part of a comprehensive trading plan that includes risk management protocols and consideration of external market factors. The system's greatest utility emerges when understood not as a predictive oracle but as a systematic method for identifying favorable risk-reward scenarios based on multi-timeframe technical convergence.
Pine Script® インジケーター
neeson1987の投稿
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.
Pine Script® インジケーター
DataWinsEmotionsLoseの投稿
TTC Open Lines v1This liquidity-based key level indicator displays previous highs and lows from the daily, weekly, monthly, quarterly, and yearly charts. These price levels serve as important reference points in the trading of any market or financial instrument. They also represent high-probability reaction zones, making them ideal areas to look for trades using simple confirmation patterns. Each level plays a crucial role in determining whether the market is likely to continue its current trend or reverse direction. I like to think of these levels as two magnets — they can either attract price or push it away. You might wonder how two opposing behaviors can both be useful. The key is to remain directionally neutral and develop your own set of rules to identify when price is more likely to react by being drawn toward these areas or rejected from them. I have my own rules for this, and you can develop a framework that fits your own trading style as well.
Pine Script® インジケーター
Time_Pitchの投稿
6
ICT Internal Levels [Amaan] 🔷 OVERVIEW The ICT Internal Levels is a comprehensive institutional analysis suite designed to bridge the gap between subjective price action and objective algorithmic logic. This script automates the detection of core ICT pillars—Liquidity, Time, and Displacement—into a single, high-performance interface. 🧠 The Core Engine Unlike standard support/resistance indicators, this script uses a dynamic state-tracking system to identify institutional interest zones. It manages historical levels using memory-efficient User-Defined Types (UDTs) and arrays, ensuring that only the most relevant "unswept" liquidity remains on your chart. 🛠 Key Features • Auto IFVG Checklist: A real-time confluence engine that "grades" market conditions from C to A+ by cross-verifying Liquidity Sweeps, Midnight Open Bias, and HTF Delivery. • SMT Divergence Engine: A dual-mode detector (Adjacent & Structural) that identifies cracks in correlation between correlated assets (e.g., NQ/ES) with built-in dynamic invalidation. • Algorithmic Macros: Six fully customizable time-anchored sessions (New York local time) that highlight the specific "killzones" where institutional volatility is highest. • Internal Liquidity Scanner: A multi-timeframe scanner for Equal Highs (EQH) and Equal Lows (EQL) that identifies the "Draw on Liquidity" across 1m to 15m charts. • Institutional Bias Framework: Automatically anchors the Midnight Opening Price to determine Daily Equilibrium (Discount vs. Premium arrays). 📈 Why Use This Script? This tool is built for the "Smarter Trader." It removes the guesswork from ICT concepts by providing: 1. Objectivity: Know exactly when a setup has enough confluence via the automated Checklist. 2. Clarity: Clear visual distinction between Major and Minor liquidity levels. 3. Risk Management: Automated "Breakeven" logic prompts you when the stop-run phase is likely complete. 📝 Technical Implementation This version is optimized for speed and accuracy. It features zero repainting on the checklist and SMT components by utilizing closed-candle verification. The UI is fully customizable, allowing you to tailor the dashboard to your specific trading style. 🟢 Advanced BSL & SSL Liquidity Engine The core of this script is a sophisticated tracking system for Buyside Liquidity (BSL) and Sellside Liquidity (SSL). In institutional trading (ICT), these aren't just highs and lows; they are "Liquidity Pools" where retail stop-losses (buy/sell stops) are clustered, acting as magnets for the market algorithm.  1. The Logic of "Parent Swings" Unlike basic indicators that mark every fractal high/low, this script uses a Swing Strength filter. It only identifies levels after they have been confirmed by a specific number of bars on either side (lookback/lookforward). This ensures the levels represent significant structural points where true "Smart Money" liquidity resides. 2. Major vs. Minor Classification (The Volatility Filter) The script includes an intelligent classification system based on the Major Level Threshold %:  • The Calculation: Once a pivot is formed, the script measures the displacement away from that level. • The Depth: If price expands by more than \bm{X\%} (e.g., 0.5%) after forming a high, it is labeled a "Major BSL". This tells the trader that this level protected a significant move, making the liquidity sitting above it even more valuable to the algorithm. 3. Proximity Logic: Relatively Equal Highs/Lows (REQH/REQL) The script features an internal "Proximity Scan." It automatically evaluates the distance between active liquidity levels: • Logic: If two BSL levels are within a defined price threshold (\bm{REQ\_THRESHOLD}), the script identifies them as Relatively Equal Highs. • Trading Insight: In ICT concepts, equal highs/lows are "engineered liquidity." The market is much more likely to run through these levels aggressively because there is a double layer of stops resting there. 4. Automated Level Management & Mitigation To prevent "chart clutter," the script uses Custom Types and Arrays to manage levels dynamically:  • Mitigation (The Purge): As soon as price trades through a level, it is considered "mitigated" or "purged." • Traded-Through Memory: You can toggle a setting to keep these levels visible. If enabled, the script stops extending the line and reduces its opacity (e.g., to 25%), leaving a "ghost level" on the chart. These often act as S/R Flips or support/resistance zones in future sessions.  📝 Logic behind it • Methodology: The script utilizes the method keyword in Pine Script v6 to create clean, object-oriented code for level deletion and updates. • Performance: By using array.unshift() and array.remove(), the script maintains a FIFO (First-In-First-Out) queue. This ensures that even on high-volatility days, the script never exceeds the 500-line drawing limit, maintaining smooth chart performance. • Coordinate Precision: Lines are pinned using bar_index , ensuring that the line starts at the exact wick peak, providing pixel-perfect accuracy for liquidity analysis. 🟢 Institutional Macro Sessions In the ICT methodology, Time is the primary filter. Price levels only become significant when they are reached at specific times of the day. This script automates the detection of Algorithmic Macros—tight 20-to-30-minute windows where the "Interbank Price Delivery Algorithm" (IPDA) is programmed to execute specific volatility injections. 1. Algorithmic Directives During these highlighted windows, the market is not moving randomly. The algorithm is usually "called" to perform one of three tasks: • Liquidity Purge: A quick run to stop out retail traders at a previous High (BSL) or Low (SSL). • Rebalancing: Returning to a Fair Value Gap (FVG) or "Imbalance" to seek equilibrium. • Expansion: Moving rapidly from an internal range toward a higher-timeframe target. 2. The 6 Tracked Macros Your script identifies the most vital institutional windows for the New York session: • AM Macro 1 (08:50 – 09:10): Often used for "Setting the Stage" or manipulation before the Equities Open. • AM Macro 2 (09:50 – 10:10): A high-probability execution window often coinciding with the "Silver Bullet" setup. • AM Macro 3 (10:50 – 11:10): Frequently marks the "Trend Continuation" or the start of a midday reversal. • Lunch Macro (11:50 – 12:10): Algorithmic rebalancing before the PM session. • PM Macro (13:10 – 13:40): The kick-off for the afternoon trend and London Close volatility. • Last Hour Macro (15:15 – 15:45): The final algorithmic rebalancing before the New York "MOC" (Market On Close) orders. 3. Behind the Logic: Timezone Synchronization A major technical challenge in Pine Script is ensuring time-boxes align correctly regardless of the user's local clock • The Solution: This script utilizes a Timezone Shift parameter combined with the timestamp() function. • Logic: It anchors the calculation to the chart’s syminfo.timezone and then offsets it to match New York Local Time. This ensures that even if you are trading from London, Tokyo, or Dubai, the "09:50 Macro" will always plot exactly when the New York algorithms become active. 🟢 Multi-Timeframe Liquidity Scanner (EQH/EQL) One of the most powerful features of V2 is the Stable Deep Scan Logic. Unlike basic fractal indicators, this script doesn't just mark any two similar peaks; it performs a rigorous historical audit of the price action. The "Unswept" Logic The table is powered by a custom function, check_liquidity_deep(), which executes a two-stage verification: 1. Detection: It scans a lookback window (default 300 bars) to find price points that are mathematically equal. 2. Verification: Once a level is found, the script runs a secondary loop to ensure that no intervening candle has breached (swept) that level. If a higher high has occurred between the level formation and the current bar, the level is discarded as "invalid/purged." Data Visualization The scanner requests this deep-scan data via request.security() for the 1m, 2m, 3m, 4m, 5m, and 15m timeframes simultaneously. • EQH (Green/Red): Indicates a "Ceiling" of liquidity waiting to be raided. • EQL (Red/Green): Indicates a "Floor" of sell-side liquidity. • Both: Alerts the trader to a "bracketed" market, often preceding a high-volatility expansion. • Memory Management: By using var array structures for SMT lines and labels, the script avoids the "Maximum Objects" limit often hit by lower-quality scripts. • Optimization: The check_liquidity_deep function is designed to only trigger its heaviest calculations on the barstate.islast, ensuring your chart remains fluid and responsive even with multiple timeframes active. • Coordinate Precision: The script uses xloc.bar_time for Macro lines to ensure they remain pinned to the correct NYC time regardless of the user's local computer clock or daylight savings shifts. 🟢 The Auto IFVG Checklist The Auto IFVG Checklist in this script is a real-time confluence engine. It doesn't just display labels; it executes complex multi-timeframe scans and state-checks to verify if an institutional setup is currently active. 1. 🛡️ Liq Sweep (Liquidity Sweep) Code Logic: high > high and close < high (for Bearish) or low < low and close > low (for Bullish). • How it works: Your code identifies "Wick Manipulations." It flags a sweep when price breaches a previous candle's extremity but fails to hold that level on the close. • Persistence: It uses swept_p with a ta.barssince lookback of 5 bars, meaning the "fuel" from the sweep remains valid for 5 candles after it occurs. 2. ⚡ Momentum (Midnight Open Bias)Orderflow Code Logic: midnightOpen = na anchored at hour == 0 and minute == 0. • How it works: The script establishes a "True Day Open." • IOF Bullish: Price is currently below Midnight Open (accumulating in a discount). • IOF Bearish: Price is currently above Midnight Open (distributing in a premium). • The Checklist Role: The Momentum check confirms if you are trading on the correct side of the "Power of 3" (Accumulation/Manipulation/Distribution). 3. 🎯 Clear DOL (Draw on Liquidity) Code Logic: iof_bullish ? close < ta.vwap : close > ta.vwap. • How it works: It uses VWAP (Volume Weighted Average Price) as the standard for algorithmic equilibrium. • The Objective: If the bias is bullish, the script looks for price to be below VWAP, indicating the "Draw" is toward a higher premium or internal liquidity pool. It ensures the trade has room to "breathe" before hitting equilibrium. 4. 🔄 HTF iFVG (Higher Timeframe Inversion FVG) Code Logic: f_scan_tf(tf) using request.security. • How it works: This is the most complex part of the indicator. It scans the 1m, 2m, 3m, 4m, and 5m timeframes for "Inversion." • The "Inversion" Event: It checks if price has closed completely through a Fair Value Gap (inv_b or inv_s). In your script, if a gap on any of these five timeframes is inverted, it signals a high-probability "Change in State of Delivery." 5. 🚢 HTF Delivery (Higher Timeframe Narrative) Code Logic: f_scan_tf scanning 15m, 30m, 1H, and 4H. • How it works: The script checks if price is currently interacting with an institutional zone on much higher timeframes. • Priority: It uses a hierarchical "if-else" chain. If a 4H zone is found, it overrides the 1H; if a 1H is found, it overrides the 15m. This ensures the Checklist always displays the most significant timeframe currently "delivering" price. 6. ⚖️ Breakeven (The Risk-Off Trigger) Code Logic: beR = ta.barssince(swept) < 10. • How it works: This is a time-based risk management filter. • The Logic: If a Liquidity Sweep occurred within the last 10 bars and the trade is moving, the script flags "Breakeven." It alerts the trader that the "Stop Run" phase should be over, and it is time to move the stop loss to the entry to ensure a risk-free trade. 📊 The Mathematical Rating System The final "RATING" cell in the table is the result of a weighted boolean check: • A+: Requires all 5 confluences (Sweep, Momentum, iFVG, Delivery, and DOL). • A: Requires Sweep, Momentum, iFVG, and DOL. • B+: Only requires the intraday pillars (Sweep, Momentum, and iFVG). • C: Only requires an iFVG presence. 🟢 SMT Divergence Engine The SMT engine in this script acts as a "crack in correlation" detector. It monitors the relationship between current chart and a Comparison Symbol (e.g., NQ vs. ES) to identify institutional accumulation or distribution that isn't visible on a single chart. 1. Dual-Mode Detection This feature implements two distinct types of SMT to capture both aggressive and structural shifts: • Adjacent Wick SMT: This is "Micro-SMT." It compares the current candle's wick to the previous candle's wick. If the main symbol makes a Higher High but the correlated symbol does not, it flags an immediate divergence. • Structural Pivot SMT: This is "Macro-SMT." It uses three different lookback lengths (Primary, Secondary, and Tertiary) to find divergences across major market swings. 2. Dynamic Invalidation Logic (The "Mended Crack") A common issue with SMT indicators is that they stay on the chart forever. Your code solves this with a Reference Price Check: • The Logic: When a divergence is found, the script stores the correlated symbol’s high/low in an array (adj_up_comp_refs). • The Invalidation: If the correlated symbol eventually "catches up" and breaks that stored reference price, the "crack" is considered mended. The script then executes a while loop to purge the lines and labels from the chart automatically. 3. Advanced Memory Management (Array-Based) This allows the script to track multiple concurrent SMTs. If three different divergences happen in a row, the script can display and manage all of them independently without hitting TradingView's drawing limits or "forgetting" old levels. 4. Triple-Length Pivot Analysis By using three different pivot lengths (3, 5, and 8), the SMT engine filters "Market Noise": • Tertiary (3): For scalpers looking for quick entries. • Primary (5): For standard intraday trend changes. • Secondary (8): For major structural shifts and daily bias reversals. 5. Algorithmic Correlation Mapping The script uses fixnan(ta.pivothigh(...)) to ensure that the SMT lines are pinned exactly to the historical pivots, even if the comparison symbol has gaps in its data. This ensures that the "slope" of the SMT line is mathematically accurate, providing a clear visual of the divergence. ⚒️How to use ICT Internal Levels Step 1: Establish the "Daily Anchor" (Midnight Open) Before looking for trades, identify your bias using the Midnight Opening Price. • Look at the Momentum section of your Checklist. • If the script says "BULL" (price is below Midnight Open), you are in a Discount and should only look for Longs. • If it says "BEAR" (price is above Midnight Open), you are in a Premium and should only look for Shorts. Step 2: Identify the "Draw" (EQH/EQL & BSL/SSL) Now, find out where the market is likely to go. • The Scanner: Check the Multi-TF EQH/EQL Table. If you see "EQH" across multiple timeframes (1m, 5m, 15m), that is a high-probability Draw on Liquidity (DOL). • The Levels: Look for the Major BSL/SSL lines. These are your "Targets." The market will likely seek these pools of money before reversing. Step 3: Wait for the "Time Window" (Macros) Don't trade in the "dead zones." Wait for price to enter a Macro Session (the highlighted vertical zones). • Institutional volatility is most consistent during these windows (e.g., 09:50–10:10 AM). • The Goal: You want to see price reach your "Draw" (from Step 2) during this time window. Step 4: Confirm the "Crack" (SMT Divergence) As price approaches a BSL or SSL level within a Macro window, look for an SMT label. • If the asset you are trading (e.g., NQ) sweeps a high, but the comparison symbol (e.g., ES) does not, the SMT engine will plot a line. • This confirms that "Smart Money" is actively distributing, and a reversal is imminent. Step 5: The "Entry Signal" (HTF iFVG) Wait for the Change in State of Delivery. • Look for an iFVG (Inversion Fair Value Gap) to form on the 1m or 5m chart. • When price closes through a gap, the HTF IFVG item on your Checklist will turn green. This is your "Green Light" to enter the market. Step 6: Final Audit (The Checklist Grade) Before clicking "Buy" or "Sell," look at the RATING in the bottom corner of the checklist. • A+ / A: Execute with full confidence. All pillars (Time, Price, SMT, and HTF) are aligned. • B+: High probability, but perhaps you are trading outside of a Macro or against the HTF Delivery. Use smaller risk. • C: Avoid this setup; it is likely a trap or a low-probability scalp. Step 7: Risk Management (Breakeven) Once you are in the trade: • Monitor the Breakeven status on the checklist. • Once it switches to "YES" (usually after 10 bars or a significant move), move your Stop Loss to your entry price. You now have a "Risk-Free" trade. ⚠️ Risk Disclaimer The ICT Internal Levels V2 is an educational tool for market analysis and does not provide financial advice or guaranteed "buy/sell" signals. Trading involves significant risk, and you may lose some or all of your invested capital. No Guarantees: Past performance does not guarantee future results. While this script uses advanced logic to identify confluences, all market analysis involves probability, not certainty. User Responsibility: The author is not liable for any financial losses resulting from the use of this indicator. You are solely responsible for your trading decisions and should always use proper risk management. Use this script to supplement your own manual analysis—never rely on an indicator alone for execution.
Pine Script® インジケーター
Yah7yaの投稿
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.
Pine Script® インジケーター
p_zerbstの投稿
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.
Pine Script® インジケーター
louisq69の投稿
Trader HQ - Multi Time Frame EMA📈 MTF 200 EMA Pro — Triple Timeframe Trend Filter MTF 200 EMA Pro is a professional-grade multi-timeframe trend analysis tool designed to help traders identify high-probability directional bias across multiple timeframes. This indicator allows you to overlay up to three independent 200-period Exponential Moving Averages from different timeframes onto one chart, providing instant insight into higher, medium, and lower timeframe trend alignment. By stacking multiple 200 EMAs, traders can eliminate low-quality setups, avoid countertrend trades, and operate in harmony with dominant market structure. 🔧 Key Features ✅ Up to 3 independent 200 EMAs ✅ Individual timeframe selection per EMA ✅ Clean overlay on any chart ✅ Adjustable display per line ✅ Real-time multi-timeframe calculations ✅ Works on all markets and sessions 🎯 How to Use This indicator is designed as a primary trend filter. Example configuration: • EMA 1 → Lower timeframe (Execution) • EMA 2 → Medium timeframe (Momentum) • EMA 3 → Higher timeframe (Structure) Bullish Bias Example Price above all 200 EMAs Lower EMA above higher EMA Pullbacks hold above structure Bearish Bias Example Price below all 200 EMAs Lower EMA below higher EMA Rejections at structure When EMAs are aligned, trend probability increases. 📊 Best Use Cases ✔ Futures Trading ✔ Options & Equity Trading ✔ Forex & Crypto ✔ Prop Firm Evaluations ✔ Trend-Following Systems ✔ Momentum Strategies ⚠️ Risk Disclaimer This indicator is a trend visualization and filtering tool only. It does not provide financial advice. Always apply proper risk management and confirm signals with your own strategy. 🛠 Technical Details • Pine Script Version: v6 • Uses native TradingView security() for MTF accuracy • Optimized for low-latency execution
Pine Script® インジケーター
Marketscopeの投稿