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ALI Time Cycles - 2025This tool visually divides the trading day into time cycles.: Large blocks of 90 minutes are the main work cycle. Three indoor units with 30 minutes in each 90-minute window. Each block is automatically stretched: by time — from the beginning to the end of its period; by price — from the minimum (Low) to the maximum (High) within this period. The colors and structure make it easy to distinguish the different phases of the cycle.: A (Accumulation) is the blue zone. M (Manipulation) is the red zone. D (Distribution) is a green area.
Pine Script® インジケーター
omurovali00の投稿
Quarterly Theory ICT 01 [TradingFinder] XAMD + Q1-Q4 Sessions🔵 Introduction The Quarterly Theory ICT indicator is an advanced analytical system based on the concepts of ICT (Inner Circle Trader) and fractal time. It divides time into quarterly periods and accurately determines entry and exit points for trades by using the True Open as the starting point of each cycle. This system is applicable across various time frames including annual, monthly, weekly, daily, and even 90-minute sessions. Time is divided into four quarters: in the first quarter (Q1), which is dedicated to the Accumulation phase, the market is in a consolidation state, laying the groundwork for a new trend; in the second quarter (Q2), allocated to the Manipulation phase (also known as Judas Swing), sudden price changes and false moves occur, marking the true starting point of a trend change; the third quarter (Q3) is dedicated to the Distribution phase, during which prices are broadly distributed and price volatility peaks; and the fourth quarter (Q4), corresponding to the Continuation/Reversal phase, either continues or reverses the previous trend. By leveraging smart algorithms and technical analysis, this system identifies optimal price patterns and trading positions through the precise detection of stop-run and liquidity zones. With the division of time into Q1 through Q4 and by incorporating key terms such as Quarterly Theory ICT, True Open, Accumulation, Manipulation (Judas Swing), Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, this system enables traders to identify market trends and make informed trading decisions using real data and precise analysis. ♦ Important Note : This indicator and the "Quarterly Theory ICT" concept have been developed based on material published in primary sources, notably the articles on Daye( traderdaye ) and Joshuuu . All copyright rights are reserved. 🔵 How to Use The Quarterly Theory ICT strategy is built on dividing time into four distinct periods across various time frames such as annual, monthly, weekly, daily, and even 90-minute sessions. In this approach, time is segmented into four quarters, during which the phases of Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal appear in a systematic and recurring manner. The first segment (Q1) functions as the Accumulation phase, where the market consolidates and lays the foundation for future movement; the second segment (Q2) represents the Manipulation phase, during which prices experience sudden initial changes, and with the aid of the True Open concept, the real starting point of the market’s movement is determined; in the third segment (Q3), the Distribution phase takes place, where prices are widely dispersed and price volatility reaches its peak; and finally, the fourth segment (Q4) is recognized as the Continuation/Reversal phase, in which the previous trend either continues or reverses. This strategy, by harnessing the concepts of fractal time and smart algorithms, enables precise analysis of price patterns across multiple time frames and, through the identification of key points such as stop-run and liquidity zones, assists traders in optimizing their trading positions. Utilizing real market data and dividing time into Q1 through Q4 allows for a comprehensive and multi-level technical analysis in which optimal entry and exit points are identified by comparing prices to the True Open. Thus, by focusing on keywords like Quarterly Theory ICT, True Open, Accumulation, Manipulation, Distribution, Continuation/Reversal, ICT, fractal time, smart algorithms, technical analysis, price patterns, trading positions, stop-run, and liquidity, the Quarterly Theory ICT strategy acts as a coherent framework for predicting market trends and developing trading strategies. 🔵b]Settings Cycle Display Mode: Determines whether the cycle is displayed on the chart or on the indicator panel. Show Cycle: Enables or disables the display of the ranges corresponding to each quarter within the micro cycles (e.g., Q1/1, Q1/2, Q1/3, Q1/4, etc.). Show Cycle Label: Toggles the display of textual labels for identifying the micro cycle phases (for example, Q1/1 or Q2/2). Table Display Mode: Enables or disables the ability to display cycle information in a tabular format. Show Table: Determines whether the table—which summarizes the phases (Q1 to Q4)—is displayed. Show More Info: Adds additional details to the table, such as the name of the phase (Accumulation, Manipulation, Distribution, or Continuation/Reversal) or further specifics about each cycle. 🔵 Conclusion Quarterly Theory ICT provides a fractal and recurring approach to analyzing price behavior by dividing time into four quarters (Q1, Q2, Q3, and Q4) and defining the True Open at the beginning of the second phase. The Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal phases repeat in each cycle, allowing traders to identify price patterns with greater precision across annual, monthly, weekly, daily, and even micro-level time frames. Focusing on the True Open as the primary reference point enables faster recognition of potential trend changes and facilitates optimal management of trading positions. In summary, this strategy, based on ICT principles and fractal time concepts, offers a powerful framework for predicting future market movements, identifying optimal entry and exit points, and managing risk in various trading conditions.
Pine Script® インジケーター
TFlabの投稿
12
On Chart Reverse RSI cyclic smoothed + DivergenceThis indicator is based on the amazing work of (@whentotrade) Lars von Theinen's RSI cyclic smoothed (cRSI). More information on the original indicator and how to use it can be found below. The On Chart Reverse cRSI is a visual representational spin of the cRSI or (RSI cyclic smoothed, by Lars von Theinen) you all know and love with the addition of two key features, that in conjunction can be used to greatly assist the end-user in their decision making for entry, exit and risk management. The first feature is the visual reverse engineered calculations of the HighBand, LowBand, as well as the user defined Upper and Lower Levels (70 & 30 by default), compared to the cRSI Level, in relation to the current price level as the point of divergence, which at a glance can then be used to visually see on the chart the closing price level needed in order to cross the cRSI either under or over the afore mentioned levels. The second feature is the addition of my advanced On Chart divergence script in order to display regular as well as hidden divergences on the cRSI compared to the price level, in order to help the end-user train their eyes to spot them more accurately. Divergence colors and description: ------------------------------------- Green : Regular Bullish Divergence White : Hidden Bullish Divergence Red : Regular Bearish Divergence Orange : Hidden Bearish Divergence Optional Settings Include: ----------------------------- 1.) Show/Hide Reverse Levels 2.) Change the Reverse Levels Text Size 3.) Change the Reverse Levels Text Color 4.) Change the Reverse Levels Text Left Margin 5.) Change the Reverse Levels Decimal value 6.) Show/Hide the Reverse Levels Currency 7.) Show/hide the cRSI Divergence lines 8.) Change the cRSI Divergence line offset 9.) Show/hide the cRSI Divergence arrows 10.) Change the Regular Bullish Divergence Color 11.) Change the Hidden Bullish Divergence Color 12.) Change the Regular Bearish Divergence Color 13.) Change the Hidden Bearish Divergence Color 14.) Change the cRSI Divergence lookback (No. of bars to lookback) RSI cyclic smoothed (cRSI) ----------------------------- The RSI cyclic smoothed (cRSI) indicator is developed by Lars von Theinen and is subject to the terms of the Mozilla Public License 2.0 at mozilla.org Copyright (C) 2017 CC BY, whentotrade / Lars von Thienen. For more details on the cRSI Indicator: RSI cyclic smoothed v2 The RSI cyclic smoothed (cRSI) is an enhancement of the classic RSI , adding 1) additional smoothing according to the market vibration, 2) adaptive upper and lower bands according to the cyclic memory and 3) using the current dominant cycle length as input for the indicator. It is much more responsive to market moves than the basic RSI . The indicator uses the dominant cycle as input to optimize signal, smoothing, and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Decoding The Hidden Market Rhythm - Part 1: Dynamic Cycles (2017), Chapter 4: "Fine-tuning technical indicators." You need to derive the dominant cycle as input parameter for the cycle length as described in chapter 4. Please PM me to obtain access.
Pine Script® インジケーター
lynchsの投稿
4
Reverse RSI cyclic smoothed + DivergenceThis indicator is based on the amazing work of (whentotrade) Lars von Theinen's RSI cyclic smoothed (cRSI). More information on the original indicator and how to use it can be found below. The Reverse cRSI is in essence the same cRSI or (RSI cyclic smoothed, by Lars von Theinen) you all know and love with the addition of two key features, that in conjunction can be used to greatly assist the end-user in their decision making for entry, exit and risk management. The first feature is a reverse engineered calculation of the HighBand, LowBand, as well as the user defined Upper and Lower Levels (70 & 30 by default), compared to the cRSI Level, in relation to the current price level as the point of divergence, which at a glance can then be used to determine the closing price level needed in order to cross the cRSI either under or over the afore mentioned levels. The second feature is the addition of my advanced divergence script to display regular as well as hidden divergences on the cRSI, in order to help the end-user train their eyes to spot them more accurately. Divergence colors and description: ------------------------------------- Green : Regular Bullish Divergence White : Hidden Bullish Divergence Red : Regular Bearish Divergence Orange : Hidden Bearish Divergence Optional Settings Include: ----------------------------- 1.) Show/Hide Reverse Levels 2.) Change the Reverse Levels Text Size 3.) Change the Reverse Levels Text Color 4.) Change the Reverse Levels Text Left Margin 5.) Change the Reverse Levels Decimal value 6.) Show/Hide the Reverse Levels Currency 7.) Show/hide the cRSI Divergence lines 8.) Change the cRSI Divergence line offset 9.) Show/hide the cRSI Divergence arrows 10.) Change the cRSI Divergence arrow offset 11.) Change the Regular Bullish Divergence Color 12.) Change the Hidden Bullish Divergence Color 13.) Change the Regular Bearish Divergence Color 14.) Change the Hidden Bearish Divergence Color 15.) Change the cRSI Divergence lookback (No. of bars to lookback) RSI cyclic smoothed (cRSI) ----------------------------- The RSI cyclic smoothed (cRSI) indicator is developed by Lars von Theinen and is subject to the terms of the Mozilla Public License 2.0 at mozilla.org Copyright (C) 2017 CC BY, whentotrade / Lars von Thienen. RSI cyclic smoothed v2 The RSI cyclic smoothed (cRSI) is an enhancement of the classic RSI , adding 1) additional smoothing according to the market vibration, 2) adaptive upper and lower bands according to the cyclic memory and 3) using the current dominant cycle length as input for the indicator. It is much more responsive to market moves than the basic RSI . The indicator uses the dominant cycle as input to optimize signal, smoothing, and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Decoding The Hidden Market Rhythm - Part 1: Dynamic Cycles (2017), Chapter 4: "Fine-tuning technical indicators." You need to derive the dominant cycle as input parameter for the cycle length as described in chapter 4.
Pine Script® インジケーター
lynchsの投稿
11
Wavemeter [theEccentricTrader]█   OVERVIEW This indicator is a representation of my take on price action based wave cycle theory. The indicator counts the number of confirmed wave cycles, keeps a rolling tally of the average wave length, wave height and frequency, and displays the statistics in a table. The indicator also displays the current wave measurements as an optional feature. █   CONCEPTS Green and Red Candles • A green candle is one that closes with a high price equal to or above the price it opened. • A red candle is one that closes with a low price that is lower than the price it opened. Swing Highs and Swing Lows • A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak. • A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough. Peak and Trough Prices (Basic) • The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher. • The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower. Historic Peaks and Troughs The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one. Wave Cycles A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. As can be seen in the example above, the first swing high or swing low will set the course for the sequence of wave cycles that follow; a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa. Wave Length Wave length is here measured in terms of bar distance between the start and end of a wave cycle. For example, if the current wave cycle ends on a swing low the wave length will be the difference in bars between the current swing low and current swing high. In such a case, if the current swing low completes on candle 100 and the current swing high completed on candle 95, we would simply subtract 95 from 100 to give us a wave length of 5 bars. Average wave length is here measured in terms of total bars as a proportion as total waves. The average wavelength is calculated by dividing the total candles by the total wave cycles. Wave Height Wave height is here measured in terms of current range. For example, if the current peak price is 100 and the current trough price is 80, the wave height will be 20. Amplitude Amplitude is here measured in terms of current range divided by two. For example if the current peak price is 100 and the current trough price is 80, the amplitude would be calculated by subtracting 80 from 100 and dividing the answer by 2 to give us an amplitude of 10. Frequency Frequency is here measured in terms of wave cycles per second (Hertz). For example, if the total wave cycle count is 10 and the amount of time it has taken to complete these 10 cycles is 1-year (31,536,000 seconds), the frequency would be calculated by dividing 10 by 31,536,000 to give us a frequency of 0.00000032 Hz. Range The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips. █   FEATURES Inputs Show Sample Period Start Date End Date Position Text Size Show Current Show Lines Table The table is colour coded, consists of two columns and, as many as, nine rows. Blue cells display the total wave cycle count and average wave measurements. Green cells display the current wave measurements. And the final row in column one, coloured black, displays the sample period. Both current wave measurements and sample period cells can be hidden at the user’s discretion. Lines For a visual aid to the wave cycles, I have added a blue line that traces out the waves on the chart. These lines can be hidden at the user’s discretion. █   HOW TO USE The indicator is intended for research purposes, strategy development and strategy optimisation. I hope it will be useful in helping to gain a better understanding of the underlying dynamics at play on any given market and timeframe. For example, the indicator can be used to compare the current range and frequency with the average range and frequency, which can be useful for gauging current market conditions versus historic and getting a feel for how different markets and timeframes behave. █   LIMITATIONS Some higher timeframe candles on tickers with larger lookbacks such as the DXY , do not actually contain all the open, high, low and close (OHLC) data at the beginning of the chart. Instead, they use the close price for open, high and low prices. So, while we can determine whether the close price is higher or lower than the preceding close price, there is no way of knowing what actually happened intra-bar for these candles. And by default candles that close at the same price as the open price, will be counted as green. You can avoid this problem by utilising the sample period filter. The green and red candle calculations are based solely on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with. Alternatively, you can replace the scenarios with your own logic to account for the gap anomalies, if you are feeling up to the challenge. It is also worth noting that the sample size will be limited to your Trading View subscription plan. Premium users get 20,000 candles worth of data, pro+ and pro users get 10,000, and basic users get 5,000. If upgrading is currently not an option, you can always keep a rolling tally of the statistics in an excel spreadsheet or something of the like.
Pine Script® インジケーター
theEccentricTraderの投稿
WD Gann: Vertical Lines for Predefined Days/Bars AgoThis Pine Script draws vertical lines on the chart at specific time intervals, inspired by WD Gann’s theories of time cycles . WD Gann, a famous trader, believed that market movements were influenced by predictable time cycles. This script enables traders to visualize these key time cycles on the chart by placing vertical lines at predefined intervals (in bars ago), helping to identify potential turning points in the market. The time intervals used in this script are inspired by Gann’s work, as well as astrological and numerological principles , which many traders believe influence market behavior . You can customize which time intervals (such as 3, 7, 9, 21, etc.) you want to track by enabling or disabling specific vertical lines on the chart. Key Features: Time Cycles Based on Gann’s Theory: Draws vertical lines at significant time intervals such as 3, 7, 9, 21, 27 bars ago, which are commonly used by Gann traders. Astrological & Numerological Significance: The predefined intervals also align with key numerological and astrological values, allowing for a broader perspective on market cycles. Customizable Intervals: You can choose which time intervals to display by enabling or disabling checkboxes for each cycle, allowing flexibility in chart analysis. Visual Labels: Each vertical line is labeled with its corresponding "bars ago" value, providing clear reference points for the selected time cycles. What Users Can Do: Track and analyze market movements based on time cycles that are significant to Gann’s theory, as well as numerological and astrological influences. Enable or disable vertical lines for specific cycles, like the 3-bar cycle, 9-bar cycle, or 365-bar cycle, depending on the intervals that align with your trading strategy. Combine with other technical analysis tools and Gann techniques (e.g., Gann Angles, Gann Fans, or Square of Nine) for a more comprehensive trading approach. This tool is designed for traders who believe in the power of time cycles to influence market behavior, and is especially useful for predicting turning points or key price movements based on these cycles.
Pine Script® インジケーター
sam-austinの投稿
1
Quarterly Cycles [Dango]Introducing the Comprehensive Quarterly Cycle Indicator, a powerful and original tool designed to enhance your understanding of price action through the lens of quarterly cycles. This innovative script is a novel creation that accurately incorporates the nuances and complexities often overlooked by those who claim to have a quarterly cycle indicator. Key Features: - Displays 90-minute, daily, weekly, monthly, and yearly quarterly cycles - Employs advanced algorithms and a deep understanding of cycle theory to precisely map out cycles - Accounts for subtle nuances ignored by other indicators How It Works: The Comprehensive Quarterly Cycle Indicator meticulously calculates and visualizes various quarterly cycles based on a proprietary algorithm that determines the presence and absence of quarters. This intricate formula takes into account multiple factors and complex relationships between time and price to accurately identify when a quarter is present and when it isn't. By leveraging this unique approach, the indicator can provide a more precise and reliable representation of quarterly cycles compared to other methods. The advanced algorithms employed by the script go beyond simple trend detection or scalping techniques, offering a comprehensive view of the underlying market rhythms. The indicator's visual representation of quarterly cycles serves as an invaluable aid in recognizing time-based patterns, turning points, and potential trend shifts. Through the lens of this indicator, traders can gain a deeper understanding of how time influences market dynamics and can make more informed decisions based on this knowledge. Intended Use: The Comprehensive Quarterly Cycle Indicator is designed primarily for educational purposes, helping traders develop a keen intuition for interpreting price action through the lens of quarterly cycles. By studying the indicator's output alongside price movements, users can gain valuable insights into market dynamics and timing. Please note that while this indicator is a powerful learning tool, it should not be considered a standalone trading system. As with any technical analysis tool, it is essential to combine its insights with other forms of analysis and risk management principles. Limitations: The indicator's accuracy may be impacted by extreme market volatility or unusual events Quarterly cycles are one of many factors influencing price action and should not be relied upon in isolation By offering a novel and accurate representation of quarterly cycles, this indicator aims to empower traders in their journey to understand and navigate the markets effectively. However, as with any trading tool, individual results may vary, and past performance does not guarantee future outcomes. Disclaimer: This indicator is provided for educational purposes only and should not be considered financial advice. Always conduct your own due diligence and consult with a financial professional before making any trading decisions. Privacy of Code Please note that the underlying logic and specific calculations used in the proprietary algorithm are not disclosed to protect the intellectual property of the script. The main reason for keeping these details hidden is due to the intricate formula used to determine when a quarter is actually present and when it isn't, taking into account various factors and complex relationships between time and price. The proprietary algorithm is the result of extensive research, testing, and refinement, forming the core of the Comprehensive Quarterly Cycle Indicator's unique approach to identifying and visualizing quarterly cycles. By keeping the specific calculations confidential, the script maintains its competitive edge and ensures the protection of its intellectual property. Despite not disclosing the exact details, the description aims to provide a clear understanding of the script's functionality, its unique approach to identifying quarterly cycles, and the potential benefits for traders. The information provided offers insights into the key features, general methodology, and advantages of utilizing the Comprehensive Quarterly Cycle Indicator in your trading analysis.
Pine Script® インジケーター
DangoNoChainの投稿
4
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
Earth Rotation 4m: Sq9 Diamond⚠️ CRITICAL: 4-MINUTE CHART ONLY This indicator is mathematically locked to the 4-minute timeframe. Why? The Earth rotates 360 degrees every 24 hours (1,440 minutes). 1440 minutes / 360 degrees = 4 minutes per degree. On a 4-minute chart, 1 Bar = 1 Degree of Earth's rotation. This is the fundamental constant that aligns the time grid with the Square of 9 price levels. If you use this on any other timeframe, the script will disable itself to prevent false data. Concept & Logic The Earth Rotation 4m is not a standard lagging indicator (like RSI or MACD). It is a leading market geometry engine based on W.D. Gann’s "Square of Nine" principles. It assumes that price and time are interchangeable and move in synchronized cycles. The Anchor (The "Bang"): Everything starts from a major pivot (High or Low). You must set the Anchor Time manually to this pivot. The script then projects a grid forward in time. Time Cycles (Vertical Lines): Since 1 Bar = 1 Degree, the script projects vertical lines at key harmonic intervals: 45°, 90°, 144°, 180°, and 360°. These are "Time Windows" where volatility is expected. Price Levels (Horizontal Lines): The script takes the Anchor Price, converts it into the "Square of Nine" root structure, rotates it by specific degrees, and converts it back to price. This creates static support/resistance levels derived from the seed price itself. The "Blue Diamond" (The Signal): When a Time Cycle (Vertical) intersects with a Price Level (Horizontal) at the exact same moment price is there, a Blue Diamond appears. This represents "Squaring Time and Price"—a geometric point of maximum balance where a reversal or acceleration often occurs. Feature List 1. Smart Grid Engine Auto-Cleaning: Automatically deletes old lines when you change the Anchor Time—no more messy charts. Harmonic Time Lines: Color-coded verticals (Gold for 90° cardinals, Cyan for 45° ordinals). Square of 9 Levels: dotted horizontal lines representing the "Roadmap" for price. 2. The Gann Fan Optional geometric fans (1x1, 1x2, 2x1, etc.) anchored to your start time. Acts as a visual slope reference for the strength of the trend. 3. "Diamond" Detection Signal A visual Blue Diamond prints above the bar when price hits a Square of 9 level exactly on a Time Cycle. Includes a tolerance input (Time/Price Tolerance) to account for minor market noise. 4. Visual Trade Model (Forward Tester) Note: This is a theoretical visualization tool, not a backtester. Logic: It visualizes a Mean Reversion setup. If Price is > Anchor at a Time Cycle → Visualizes a Short. If Price is < Anchor at a Time Cycle → Visualizes a Long. Auto-Alignment: Draws Profit (Green) and Loss (Red) boxes directly on the chart, snapping to the trade duration. Stats Dashboard: A sleek Black/Gold table tracking the Win Rate and Net R (Risk/Reward) of these theoretical setups for the current session. 5. Professional Alerts Grid Intersection: Triggers when a Diamond prints. Trade Entry: Triggers when the visual model detects an entry criteria. How to Use (Step-by-Step Guide) Set the Chart: Open any asset (Crypto, Forex, Stocks) and set the timeframe to 4 Minutes. Find the Pivot: Look for a major High or Low earlier in the day (or yesterday). Set the Anchor: Go to the Indicator Settings -> Anchor Time. Enter the exact time of that pivot bar. Observe the Grid: The script will project the future roadmap. Watch for price approaching a Horizontal Level as a Vertical Time Line is coming up. The Diamond Signal: If price hits that level exactly on the time line, a Blue Diamond appears. This is your area of interest. Visual Confirmation: Use the Trade Logic boxes to see how price reacted to similar setups earlier in the session. Settings Guide Anchor Time: The most critical input. Must be precise. Cycle Limit: How far forward to draw the grid (in 360-degree cycles). ATR Multiplier: Adjusts the size of the Stop/Limit boxes for the visual model. (BTC typically needs 4.0-5.0; Alts need 2.5-3.5). Fan Scale: Adjusts the slope of the Gann Fan. Disclaimer This script is a market geometry analysis tool. The "Trade" module and Dashboard are for educational visualization purposes only and do not represent a financial strategy, backtest, or guarantee of future results. Trading involves significant risk. Always use your own risk management.
Pine Script® インジケーター
PyraTimeの投稿
Nissen Heavenly Stems & Earthly Branches v2.0 (Calibrated)Nissen Heavenly Stems & Earthly Branches v2.0 (Calibrated) - Complete Description 🎯 Originality & Unique Approach What Makes This Script Original? This indicator represents a novel fusion of traditional Chinese cyclical theory with modern financial market analysis. Unlike conventional technical indicators based solely on price action or volume, this tool incorporates: Ancient Chinese Calendar Systems: Utilizes the 60-year Jia-Zi cycle (Heavenly Stems & Earthly Branches) dating back 4000+ years Five Elements (Wu Xing) Theory: Applies Wood-Fire-Earth-Metal-Water cycles to market dynamics Chinese Zodiac Correlation: Links 12 zodiac animals with market characteristics Solar Term Integration: Considers traditional solar terms (particularly "Beginning of Spring") for accurate year transitions No other TradingView indicator combines these specific traditional Chinese predictive systems with Western financial charting in this comprehensive manner. 📊 What This Indicator Does & How It Works Core Functionality This overlay indicator provides multi-timeframe market analysis based on traditional Chinese cyclical theories: Yearly Cycle Analysis (Primary) Identifies current position in the 10-year Heavenly Stem cycle (甲 to 癸) Maps each year to specific market predictions based on historical patterns Color-codes the chart background according to the current zodiac year Monthly & Daily Analysis Calculates monthly and daily Heavenly Stems & Earthly Branches Provides short-term trend signals based on daily/monthly elements Cycle Progress Tracking Visual 10-year cycle progress bar showing current position Countdown to next significant cycle transition points Implementation Methodology 1. Calendar Calculation System: Uses calibrated formulas for Heavenly Stems: (Year - 4) % 10 Calculates Earthly Branches: (Year - 4) % 12 Incorporates solar term adjustments (Beginning of Spring around Feb 4th) Accurate for years 1900-2100 using Zeller's congruence algorithm for daily calculations 2. Prediction Mapping: 甲 (Jia) Years → Bear to Bull transition, Bottom years 乙 (Yi) Years → Bull markets 丙/丁 (Bing/Ding) Years → Super bull markets (Fire element) 戊/己 (Wu/Ji) Years → Bear markets (Earth element) 庚/辛 (Geng/Xin) Years → Structural markets, Risk years 壬/癸 (Ren/Gui) Years → Observation periods 3. Five Elements Integration: Maps each Heavenly Stem to Wood-Fire-Earth-Metal-Water Analyzes relationship between current year's element and "market element" (assumed as Water) Generates "生成克制" (Generate-Control) relationship insights Visual Components Background Coloring: Entire chart background changes color based on zodiac animal of the year Information Tables: Detailed tables showing: Current lunar year and zodiac Five Elements relationship to markets Cycle progress and next transition points Daily and monthly Stems & Branches with trend signals Year Labels: Floating labels at year transitions showing year info and predictions Cycle Progress Bar: Visual representation of 10-year cycle completion percentage Special Markers: Highlighted markers for significant years (甲, 丙丁, 戊辛, 癸) Trend Indicators: Directional arrows showing overall yearly trend 🧠 Core Theoretical Framework Philosophical Foundation This indicator operates on three interconnected cyclical theories: 1. 10-Year Heavenly Stem Cycle (天干循环) Each of the 10 Heavenly Stems represents distinct market characteristics Complete cycle repeats every 10 years with predictable patterns Based on observed correlations between these cycles and historical market movements 2. 12-Year Earthly Branch/Zodiac Cycle (地支/生肖循环) Each zodiac year has associated color coding and characteristics Provides secondary confirmation to Heavenly Stem predictions Creates 60-year combined cycle when multiplied with 10-year cycle 3. Five Elements Market Theory (五行市场理论) Assumption: Financial markets exhibit characteristics of Water element (流动、变化) Analysis: How each year's element interacts with Water: Same element (Water-Water): Harmony, stable trends Generating element (Metal-Water): Supportive, bullish Controlling element (Earth-Water): Restrictive, bearish Generated element (Water-Wood): Draining, volatile Controlling element (Water-Fire): Dominant, trend strong Historical Correlation Basis The prediction mappings derive from observed correlations between Chinese calendar years and major market movements: 丙丁 (Bing/Ding) Fire Years: Historically correlated with major bull markets (e.g., 1997丁丑年 Asian boom, 2007丁亥年 pre-crisis peak) 戊己 (Wu/Ji) Earth Years: Often associated with market corrections or bear phases 甲 (Jia) Years: Frequently mark cycle beginnings and transitional phases 🎮 Practical Usage Guide For Long-Term Investors Cycle Positioning: Determine where we are in the 10-year cycle Yearly Outlook: Use the yearly prediction to set overall portfolio bias Cycle Transitions: Watch for 甲 (Jia) year beginnings and 癸 (Gui) year endings for major rebalancing For Swing Traders Monthly Signals: Check monthly Heavenly Stems for intermediate-term bias Element Relationships: Use Five Elements analysis for sector rotation ideas Cycle Progress: Monitor the 10-year progress bar for approaching transitions For Short-Term Traders Daily Stems & Branches: Use daily signals for short-term directional bias Intraday Context: Align short-term trades with the larger cycle direction Alert System: Set alerts for significant year/month transitions Specific Trading Applications 1. Trend-Following Enhancement Use yearly trend direction to filter counter-trend trades Align with the predominant element's characteristics (e.g., Fire years favor momentum strategies) 2. Mean Reversion Timing Earth and Metal years often show increased mean reversion characteristics Use daily signals to time entries during counter-trend moves 3. Sector Rotation Framework Different elements favor different sectors: Wood/Water years: Technology, Innovation Fire years: Energy, Growth stocks Earth years: Real Estate, Materials Metal years: Financials, Industrials 4. Risk Management Heighten caution during 辛 (Xin) Metal years (designated "Risk Years") Reduce leverage during controlling element relationships ⚙️ Configuration Options Visual Customization Adjust background brightness and colors for each zodiac year Customize label positions, sizes, and colors Toggle various display elements on/off based on preference Analytical Focus Choose to emphasize yearly, monthly, or daily signals Adjust the cycle progress bar position and appearance Customize which special year markers to display Alert System Enable alerts for year transitions Customize which cycle transitions trigger alerts Combine with other indicators for confirmation ⚠️ Important Considerations Theoretical Nature This indicator is based on cyclical correlation theories, not causal relationships. It should be used as: A Complementary Tool: Not a standalone trading system A Framework for Thinking: About market cycles and rhythms A Sentiment Indicator: Of longer-term market positioning Practical Limitations Not a Timing Tool: Doesn't provide precise entry/exit points Cultural Specificity: Based on Eastern cyclical concepts Historical Correlation: Past patterns may not repeat identically Recommended Usage Combine with Technical Analysis: Use alongside traditional indicators Verify with Fundamental Analysis: Ensure cycle signals align with economic reality Risk Management First: Never rely solely on cyclical predictions for position sizing 📈 Integration with Other Strategies With Trend Following Use yearly trend direction to determine primary trend bias Filter trade signals to align with cycle direction With Counter-Trend Strategies Identify years with high mean reversion probability Use daily signals for timing counter-trend entries With Seasonal Patterns Overlay traditional seasonal patterns with Chinese calendar cycles Look for convergence/divergence between different cyclical systems 🔮 Future Development Path The current implementation focuses on yearly cycles, but the framework can expand to: Smaller Timeframes: Applying the system to weekly/daily cycles Inter-market Analysis: Different elements for different asset classes Geographical Variations: Adjusting for different market characteristics by region Combination with Western Cycles: Integrating with Kondratieff waves, decennial patterns
Pine Script® インジケーター
neeson1987の投稿
CAP - CSICSI is a Digital Signal Processing (DSP) tool based on the principles of Lars von Thienen’s "Dynamic Cycles." Unlike traditional momentum oscillators, the CSI uses a recursive dual-thrust processor to isolate cyclic price action, helping traders identify hidden rhythms in the market rather than just static overbought or oversold levels. How to Read the Indicator This script focuses on four primary technical components: Dynamic Band Pivots: The indicator calculates a "cyclic memory" (default 34 periods) to create high and low bands. When the CSI moves outside these bands and begins to pivot, it signals a potential cycle exhaustion point. Momentum Slope: The color-coded area fill identifies the direction of the cycle's slope. A change in slope is often the first warning of a cycle peak or trough. The Zero Line: The zero line acts as the "equilibrium" point. Position relative to zero helps define whether the current cycle is in a bullish or bearish regime. Multi-Timeframe Analysis (HTF): The script includes an HTF filter (suggested 5x the chart timeframe) to ensure you are trading in the direction of the dominant macro cycle. Performance & Testing: The "Trending" Challenge This indicator has been developed and tested primarily on Futures (ES, NQ, RTY) and US Equities. Important Note on False Signals: While the CSI "nails" turning points during standard cyclic/swing conditions, users should be aware of "phantom" cycles or false signals during strong trending conditions. In a powerful trend, the indicator may signal a cycle peak while price continues to move linearly, leading to premature exhaustion signals. Filtering these "trend-drifts" is the current focus of development. Community & Collaboration This script is an ongoing project. I am making it public to find like-minded traders interested in Lars von Thienen’s work to: Refine the processor logic for better signal-to-noise ratios during impulsive trends. Discuss the best "Trend Shields" (Volume, HTF, or Volatility filters) to stay in winners longer. Share specific settings for different asset classes in the Futures and Equity markets.
Pine Script® インジケーター
calinpascualの投稿
1
Financial Astrology Jupiter LongitudeJupiter energy influence the expansion, enthusiasm, joviality, optimism, devotion, administration and judgement. Is associated with people of nobility and good social position: ministers, bishops, religious leaders, judges, bankers, lawyers, merchants, influencers and so forth. This cycle is relevant for the industries of consumer goods, travel, publishing, higher education, banking, gambling and legal. For most of the crypto-currencies is hard to analyse the impact of the Jupiter transit across different zodiac signs due to the emergent nature of this disrupting financial industry, many coins was launched in 2017 and have not experienced the complete Jupiter cycle. However, in BTCUSD we almost have a complete orbit and through the buy/sell frequency analysis we have observed the following patters: the bullish zodiac signs was Virgo, Libra, Capricorn and Aquarius, the bearish was Leo, and Scorpio. We was not able to obtain price data for the period when Jupiter transited Aries to Cancer so we are pending to analyze the trend direction during those zodiac positions. This indicator provides Jupiter longitude since 2010 so will be limited to the analysis of 1 cycle, however we noted that the periods of retrogradation and stationary could give interesting trading signals. We encourage you to analyse this zodiac sign / speed phases cycles in different markets and share with us your observations, leave us a comment with your research outcomes. Happy research! Note: The Jupiter tropical longitude indicator is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the longitude is not available, this daily ephemeris are based on UTC time so in order to align properly with the price bars times you should set UTC as your chart reference timezone.
Pine Script® インジケーター
citlacomの投稿
4
RSI cyclic smoothed v2Cyclic Smoothed Relative Strength Indicator The cyclic smoothed RSI indicator is an enhancement of the classic RSI , adding additional smoothing according to the market vibration, adaptive upper and lower bands according to the cyclic memory and using the current dominant cycle length as input for the indicator. The cRSI is used like a standard indicator. The chart highlights trading signals where the signal line crosses above or below the adaptive lower/upper bands. It is much more responsive to market moves than the basic RSI. You can also review this short idea where BTC went down from 4300 USD (3 Sept 17) to 3700 USD (15 Sept 17) after the idea was posted and showed the clear short exit with the next low: The indicator uses the dominant cycle as input to optimize signal, smoothing and cyclic memory. To get more in-depth information on the cyclic-smoothed RSI indicator, please read Chapter 4 "Fine tuning technical indicators" of the book "Decoding the Hidden Market Rhythm, Part 1" available at your favorite book store. This is the open-source code version of the requested script already published as protected indicator back in 2017 "RSI cyclic smoothed". Now made public as v2. Would love to receive feedback and see your ideas.
Pine Script® インジケーター
StockMarketCyclesの投稿
115
Moon Phases & Distance [English]🌕 Moon Phases & Distance (V6) This indicator tracks the Lunar Cycle and the Earth-Moon Distance to identify potential market reversal points and volatility windows. Based on astronomical cycles, it provides a unique perspective on market timing that goes beyond standard price action. 🔭 Key Features Precision Phase Tracking: Visualizes the current lunar cycle from 0% (New Moon) to 100%. Proximity Logic (Perigee/Apogee): Accounts for the Moon’s elliptical orbit. Perigee (Blue Marker): Moon is closest to Earth. Often associated with higher gravitational pull and increased market volatility. Apogee (Red Marker): Moon is at its farthest point from Earth. Direct Chart Overlay: Even though the indicator sits in a separate pane, it uses force_overlay to place Full Moon (🌕) and New Moon (🌑) icons directly on your price bars. Real-time Dashboard: A clean info-table in the top-right corner shows the exact phase percentage and orbital status. 💡 Trading Logic Many traders use Lunar cycles as a secondary filter for timing: Full Moon (🌕): Historically linked to local price peaks or trend exhaustion in certain markets. New Moon (🌑): Often correlates with local price bottoms or the start of a new momentum wave. Distance Index: Used to gauge the "intensity" of the cycle; Perigee events are often watched for sudden "shocks" or trend shifts. 🛠 Technical Specifications Language: Pine Script v6 Compatibility: Works on all timeframes (best viewed on Daily/Weekly). Performance: Lightweight and optimized calculation methods to ensure no lag on your charts. ⚠️ Disclaimer This script is for educational and informational purposes only. Financial trading involves significant risk, and astronomical cycles should never be the sole basis for any investment decision. Past performance, whether based on price action or celestial cycles, is not indicative of future results. Trade at your own risk. #MoonPhases #LunarCycle #Astronomy #CycleAnalysis #MarketGeometry
Pine Script® インジケーター
Another363の投稿
8-Year Cycle 8-Year Cycle Indicator — Description Overview: The 8-Year Cycle Indicator visually highlights repeating 8-year macro cycles on a chart, commonly used for gold, miners, or other long-term assets. It helps traders and investors understand early, mid, and late phases of each cycle to better plan positioning and risk management. Features: Each cycle is 8 years long by default. Each year in the cycle can be assigned a custom color for granular visualization. The last 4 years of a cycle can optionally be highlighted to indicate the late-cycle phase, historically associated with peaks and higher volatility. Vertical lines mark the start of each cycle. Labels display the full cycle period (e.g., 1981–1988). Background shading per year makes it easy to distinguish early, mid, and late cycle stages. Use Cases: Identifying accumulation and topping periods in gold or related assets. Understanding long-term macro trends. Providing visual context for risk management in multi-year cycles. Complementing other technical or macro indicators for strategic positioning.
Pine Script® インジケーター
Virk48の投稿
Adaptive Harmonic Forecast [LuxAlgo]The Adaptive Harmonic Forecast indicator decomposes price action into multiple cyclical components and a linear trend to forecast future market movement. By extracting the most dominant frequencies from recent price data, the tool projects a multi-harmonic model into the future to identify potential reversal points and trend continuations. 🔶 USAGE The indicator provides a mathematical projection of price action based on the assumption that markets exhibit cyclical behavior. Users can utilize the forecast to anticipate upcoming shifts in momentum or to identify the underlying trend direction. It is important to note that the forecast is dynamic and recalculates on the most recent bar; therefore, it is best used to confirm momentum shifts when price action aligns with the projected harmonic direction. 🔹 Historical Fit & Forecast The script displays a solid line over the historical lookback period, representing how well the harmonic model fits the actual price data. Beyond the current bar, a dotted line extends the forecast. This forecast is color-coded: green represents projected upward movement, while red represents projected downward movement. The forecast should be viewed primarily as a timing tool rather than an exact price target, as it projects where the "rhythm" of the market is heading based on current harmonics. 🔹 Trend Line & Reversal Markers A linear trend line is calculated alongside the sinusoids to show the overall bias (slope) of the lookback period. Additionally, the indicator can plot reversal markers (dots) at the specific points where the forecasted cycles reach a peak or trough. These markers highlight potential future turning points where the composite cycles converge to create a local maximum or minimum. 🔹 Detected Cycles Table The "Detected Cycles" dashboard allows traders to identify if current price action is dominated by short-term "noise" cycles or larger "structural" cycles. By observing the period lengths (in bars), users can determine the frequency of market swings. If the detected periods are small relative to the lookback, the market is in a high-frequency state; if they are large, the market is exhibiting more stable, long-term cyclicality. 🔶 DETAILS The script operates through a two-step mathematical process involving spectral analysis and matrix-based regression: Periodogram Logic (Cycle Detection): The indicator first detrends the data within the lookback window using a linear fit. It then performs a spectral analysis by scanning a range of periods to calculate "spectral power" (the correlation between price and a specific frequency). It identifies "spectral peaks" where price variance is most concentrated, ensuring that only the most meaningful cycles are selected for modeling rather than random noise. Multi-Harmonic OLS Regression: Once the dominant periods are identified, the script uses Ordinary Least Squares (OLS) regression to solve for the coefficients of a linear combination of basis functions. Specifically, it constructs a model consisting of multiple sine and cosine waves (representing the cycles) and a first-order polynomial (representing the trend). By solving the normal equation using matrix math, the script finds the optimal amplitudes and phases that minimize the squared error against historical price. This composite model is then solved for future time coordinates to create the extrapolation. 🔶 SETTINGS 🔹 Settings Fit Lookback (N): Determines the number of historical bars used to analyze cycles and fit the model. Extrapolation Bars: Sets how many bars into the future the forecast should extend. Number of Sinusoids: The maximum number of individual cycles to include in the composite model (1-10). 🔹 Automatic Cycle Detection Min Period: The shortest cycle length (in bars) the algorithm is allowed to detect. 🔹 Visuals Show Reversal Dots: Toggles the markers at forecasted local highs and lows. Dot Size: Adjusts the visual scale of the reversal markers. Show Detected Periods: Toggles the data table showing the lengths of the dominant cycles. 🔹 Trend Line Show Trend Line: Toggles the display of the underlying linear regression line. Trend Line Color: Sets the color for the historical and projected trend line.
Pine Script® インジケーター
LuxAlgoの投稿
3
Institutional Bottom Hunter ProInstitutional Bottom Hunter Pro: A Comprehensive Guide to Advanced Bottom Detection Executive Summary The Institutional Bottom Hunter Pro (IBH Pro) represents a paradigm shift in technical analysis for retail and institutional investors seeking to identify high-probability market bottoms. Unlike conventional oversold indicators that rely on single-dimensional analysis, IBH Pro employs an eight-layer ensemble methodology that synthesizes market regime detection, volume analysis, fractal geometry, volatility dynamics, statistical mean reversion, cycle theory, institutional footprint recognition, and machine learning-inspired adaptive weighting. This comprehensive approach transforms bottom-picking from speculation into a data-driven probabilistic framework. I. The Specialty: What Makes IBH Pro Different A. Multi-Dimensional Analytical Framework Most technical indicators suffer from the "single lens" problem—RSI identifies oversold conditions, MACD reveals momentum divergence, and volume indicators track accumulation, but each operates in isolation. IBH Pro's revolutionary approach integrates seven independent analytical systems into a unified probability score, creating a holistic view of market conditions that individual indicators cannot provide. The script's architecture mirrors institutional-grade quantitative analysis: Market Regime Detection ensures signals only activate during genuine correction phases Wyckoff-Inspired Volume Analysis identifies supply exhaustion using climactic volume, absorption patterns, and effort-versus-result dynamics Fractal Pattern Recognition detects structural bottoms through Williams fractals, double/triple bottoms, and reversal candlestick patterns Volatility Regime Analysis quantifies fear extremes using ATR percentiles, Bollinger Band compression, and volatility term structure Statistical Mean Reversion employs multi-timeframe Z-scores to measure price displacement from equilibrium Ehlers Cycle Detection identifies cyclical troughs using autocorrelation and phase analysis Passive Buying Detection reveals institutional accumulation through Money Flow Index divergences, Chaikin Money Flow, and volume footprint analysis B. Adaptive Weight Optimization (GBM-Inspired Machine Learning) The true innovation lies in the Gradient Boosting Machine (GBM) ensemble scoring system with adaptive weight optimization. Traditional indicators assign static importance to each component, but IBH Pro continuously learns from its own performance: Performance Tracking: The system monitors whether previous signals resulted in profitable price advances Dynamic Weight Adjustment: Components that contribute to successful signals receive increased weighting, while underperforming factors are de-emphasized Market Adaptation: The indicator automatically adjusts to changing market conditions—for example, increasing volume analysis weight during climactic selloffs or emphasizing cycle detection in ranging markets This creates a self-improving system that becomes more accurate over time, unlike static indicators that degrade as market conditions evolve. C. Interaction Effect Multipliers IBH Pro recognizes that analytical components don't operate independently—they create synergistic relationships: Volume + Fractal Synergy: A double bottom pattern (fractal) confirmed by volume exhaustion carries exponentially higher probability than either signal alone Mean Reversion + Volatility Synergy: Extreme statistical displacement combined with volatility expansion indicates capitulation Cycle + Correction Synergy: Cyclical troughs occurring during technical corrections represent optimal entry zones The script applies multiplicative bonuses when multiple high-probability conditions align, capturing the compounding effect of confluence that professional traders utilize. II. How the Eight-Layer Architecture Works Layer 1: Market Regime Detection Purpose: Filter out false signals during trending markets where "oversold" conditions can persist indefinitely. Methodology: The system calculates drawdown from the recent high (50-200 bar lookback) and requires minimum decline thresholds before activating. It analyzes: Momentum decay: Rate-of-change deterioration from peak values Trend strength weakening: ADX decline indicating trend exhaustion Moving average displacement: Distance below 20/50/100 SMAs User Application: Set the "Minimum Drawdown for Correction" parameter based on asset volatility: Low volatility stocks (utilities, consumer staples): 5-8% Medium volatility (large-cap tech, industrials): 8-12% High volatility (small-caps, growth stocks): 12-20% This ensures the system only hunts bottoms when genuine corrections occur, not during minor consolidations. Layer 2: Volume Supply Exhaustion Analysis Purpose: Identify when selling pressure has been fully absorbed by buyers—a hallmark of institutional bottoming patterns. Wyckoff-Inspired Components: Climactic Volume Detection: Identifies panic selling when volume exceeds the 20-day average by 2x+ (adjustable multiplier), particularly on down days Volume Dry-Up After Climax: Tracks whether volume contracts below 60% of average following the climax—indicating seller exhaustion Effort vs. Result Analysis: Measures whether high volume (effort) produces minimal price decline (result), suggesting absorption by strong hands Up/Down Volume Ratio: Segregates volume by bar direction, revealing when buying volume begins dominating despite price weakness OBV/A-D Divergences: Detects when cumulative volume indicators trend upward while price trends downward—classic accumulation signature User Application: In high-volume liquid stocks, increase the Climax Volume Multiplier to 2.5-3.0 to filter noise For low-volume small-caps, decrease to 1.5-2.0 to capture subtler signals Enable "Use Up/Down Volume Analysis" for all equity analysis; disable for highly illiquid instruments Layer 3: Fractal Pattern Recognition Purpose: Identify structural price formations that mark trend reversals through geometric pattern analysis. Components: Williams Fractals: Detects swing highs/lows using N-bar symmetry (default 5 bars) Double/Triple Bottom Detection: Identifies repeated tests of support within tolerance thresholds (default 2%), storing the five most recent fractal lows for pattern matching Reversal Candlestick Patterns: Recognizes hammers, bullish engulfing, morning stars, dragonfly dojis, and bullish harami formations Support Proximity Analysis: Measures distance to recent support zones and identifies bounces with strong closes User Application: Daily timeframe: Use default 5-bar fractal period with 2% tolerance Weekly timeframe: Increase to 7-bar period with 3% tolerance Intraday (1-hour): Decrease to 3-bar period with 1.5% tolerance The Pattern Tolerance parameter accommodates price volatility—increase for volatile instruments Layer 4: Volatility Regime Analysis Purpose: Quantify fear extremes and identify volatility compression/expansion cycles that precede reversals. Components: ATR Percentile Ranking: Determines if current volatility ranks in the top 25% of recent range—indicating fear Bollinger Band Analysis: Price below lower band = oversold extreme Band width contraction = squeeze (energy building for reversal) %B calculation shows precise position within bands Keltner Channel Integration: True squeeze detection when Bollinger Bands compress inside Keltner Channels Volatility Term Structure: Compares 20-day vs. 50-day historical volatility to identify "backwardation" (short-term vol exceeding long-term), which marks panic conditions User Application: Bollinger StdDev: Keep at 2.0 for standard analysis; increase to 2.5-3.0 for extremely volatile assets to reduce false oversold signals Keltner Multiplier: Default 1.5 works for most equities; increase to 2.0 for high-beta stocks Watch for squeeze releases (when both ATR contracts then expands AND Bollinger Bands widen) as high-probability entry triggers Layer 5: Statistical Mean Reversion Purpose: Apply rigorous statistical methods to measure price displacement from equilibrium across multiple timeframes. Components: Multi-Method Z-Score Calculation: SMA-based Z-score (classical approach) EMA-based Z-score (weight recent data) Linear regression Z-score (trend-adjusted) VWAP deviation (volume-weighted equilibrium) RSI Z-Score: Identifies when RSI itself becomes statistically extreme relative to its historical distribution Multi-Timeframe Deviation: Measures distance from 20/50/100 SMAs simultaneously to detect structural dislocation User Application: Z-Score Threshold: Default -1.5 is moderate; decrease to -2.0 for higher-conviction signals with fewer triggers Mean Reversion Period: 30-40 bars for swing trading 50-70 bars for position trading 80-100 bars for long-term investing RSI Oversold Level: Keep at 30 for balanced signals; lower to 25 for higher conviction Layer 6: Cycle Detection (Ehlers Algorithms) Purpose: Identify dominant market cycles and detect when price reaches cyclical troughs, similar to institutional timing models. Methodology: The system employs John Ehlers' digital signal processing techniques: High-Pass Filter: Removes trend component to isolate cyclical behavior Super Smoother: Eliminates noise while preserving cycle structure Autocorrelation Analysis: Scans 10-50 bar periods to identify the dominant cycle length Phase Calculation: Determines current position within the cycle (trough, peak, or midpoint) Cycle Stochastic: Measures whether the detrended price is in the bottom 20% of its cycle range User Application: Minimum/Maximum Cycle Period: Adjust based on trading timeframe: Day traders: 5-20 bars Swing traders: 10-50 bars (default) Position traders: 20-80 bars Cycle detection works best on mean-reverting instruments (indices, large-caps) vs. strong trending small-caps High cycle confidence (autocorrelation >0.5) increases signal reliability significantly Layer 7: Passive Buying Detection Purpose: Identify institutional accumulation patterns that occur beneath the surface before public recognition. Components: Money Flow Index: Detects oversold conditions (<20) and bullish divergences Chaikin Money Flow: Reveals buying pressure even on down days when CMF remains positive Force Index Divergence: Identifies weakening selling force despite continued price decline Accumulation Pattern Recognition: Counts down-days with positive money flow (passive buying) Institutional Footprint: Detects high-volume reversals with closes near highs at support levels User Application: This layer is particularly valuable for identifying smart money activity before trend reversals Strong passive buying scores (>60) often precede sustainable rallies by 3-10 bars Combine with volume exhaustion for highest-conviction setups Layer 8: GBM Ensemble Scoring Purpose: Synthesize all seven analytical layers into a unified 0-100 probability score using adaptive machine learning. Process: Initial Weights: Start with balanced distribution (Correction: 15%, Volume: 18%, Fractal: 15%, Volatility: 12%, Mean Reversion: 15%, Cycle: 10%, Passive: 15%) Performance Tracking: Monitor whether signals lead to >2% gains within 5-20 bars Gradient Descent Adaptation: Successful components receive incremental weight increases; failed components decrease Normalization: Weights continuously rebalance to sum to 100% Interaction Effects: Apply multiplicative bonuses (default 1.2x) when multiple components exceed thresholds simultaneously Final Filtering: Apply the correction regime filter—reducing scores by 40% when not in defined correction phase User Application: Learning Rate: Default 0.02 provides steady adaptation; increase to 0.05 for faster learning in fast-changing markets Weight Boundaries: Min 0.08 / Max 0.35 prevents over-reliance on single factors Interaction Boost: Increase to 1.3-1.5 when seeking only highest-confluence setups Allow 50-100 bars for the adaptive system to calibrate to your specific asset III. How to Use IBH Pro Effectively for Bottom Finding A. Signal Hierarchy and Action Framework STRONG SIGNALS (Score ≥ 65, Green Triangle) Interpretation: High-probability institutional bottom with 4+ layers confirming Action for Investors: Aggressive: Enter 50-75% of intended position immediately Conservative: Enter 33% immediately, scale in on any lower retest Risk Management: Place stop-loss 3-5% below signal bar low (adjust for ATR) Expected Outcome: 60-75% success rate for 5%+ gain within 2-4 weeks MODERATE SIGNALS (Score 50-64, Yellow Triangle) Interpretation: Developing bottom with 2-3 confirming layers Action for Investors: Watch for additional confirmation (volume spike, reversal candle) Enter 25-33% position as "scout" entry Prepare for potential retest of lows Risk Management: Tighter stop (2-3% below low) or time-based stop (exit if no follow-through in 3 days) Expected Outcome: 45-60% success rate WEAK SIGNALS (Score 40-49) Interpretation: Early-stage bottom formation or false signal Action for Investors: Add to watchlist only Wait for score improvement to Moderate/Strong Useful for positioning ahead of potential signals Not recommended for position entry B. Optimal Entry Techniques 1. Immediate Entry (Aggressive) Enter at close of signal bar or next bar open Best when: Strong signal + climactic volume + reversal candle Risk: Potential for immediate 2-3% drawdown before reversal 2. Confirmation Entry (Balanced) Wait 1-2 bars after signal for bullish confirmation: Higher close than signal bar Above-average volume on up-day Break above short-term resistance Lower risk but may miss 1-2% of initial move 3. Scale Entry (Conservative) Enter 25% on signal Add 25% on successful retest of low (must hold above signal low) Add 25% on break above key resistance (20-day SMA) Reserve 25% for breakout above correction high Lowest risk but requires patience and discipline 4. Retest Entry (Patient) Wait for price to retest signal low within 5-10 bars Enter only if: Volume contracts significantly on retest (vs. signal day) Price holds above signal low (higher low) Reversal candle forms High probability but signals may not provide retest opportunity C. Dashboard Interpretation Guide The real-time dashboard provides critical intelligence for decision-making: Component Score Analysis: Scores >70 (Green): Strong confirmation from that layer Scores 50-69 (Yellow): Moderate support Scores <50 (Gray): Weak or no signal Look for "Stacked" Conditions: Ideal Setup: 4+ components >60 with Final Score >70 Good Setup: 3 components >60 with Final Score >60 Weak Setup: Only 1-2 components elevated Weight Column Intelligence: Increasing weights indicate the system is finding that component predictive for current market conditions If Volume weight climbs to 25-30%, the system is identifying volume-driven bottoms If Cycle weight grows, regular cyclical patterns are dominant Correction Indicator: "✓ CORR" (Green checkmark) = Required for high scores "✗ CORR" (Red X) = Not in correction; signals will be suppressed If you receive weak signals during strong uptrends, this is protective filtering working correctly D. Multi-Timeframe Analysis Strategy For highest-probability entries, apply IBH Pro across multiple timeframes: Weekly + Daily Alignment (Highest Conviction): Weekly chart shows Moderate/Strong signal (macro bottom) Daily chart triggers Strong signal within 5 bars of weekly signal Action: This is a major bottoming structure—allocate larger position size (1.5-2x normal) Daily Primary with Hourly Timing: Daily chart shows Moderate signal (bottom forming) Switch to 1-hour chart for precise entry Enter when hourly chart triggers Strong signal Advantage: Improved entry price by 1-3%, tighter stop-loss placement Avoid Counter-Trend Signals: If weekly timeframe is in strong downtrend (no correction detected), ignore daily signals Wait for weekly regime change before acting on lower timeframes E. Integration with Fundamental Analysis IBH Pro is most powerful when combined with fundamental screening: Optimal Workflow: Fundamental Filter First: Screen for quality companies: positive earnings growth, manageable debt, strong ROE Identify undervalued stocks: P/E below sector average, PEG <1.5 Check insider buying and institutional ownership trends Apply IBH Pro to Filtered Universe: Add 20-50 fundamentally sound stocks to watchlist Monitor IBH Pro scores daily Act when Strong signals appear on quality names Avoid Value Traps: IBH Pro may signal bottoms on deteriorating companies Always verify business fundamentals haven't permanently impaired Declining revenue, margin compression, or sector disruption can override technical signals Example: A pharmaceutical stock drops 25% on FDA trial delay. IBH Pro triggers Strong signal as panic subsides. Fundamental analysis reveals: ✓ Drug has alternative approval pathway ✓ Company has 4 other pipeline drugs ✓ Balance sheet supports 2+ years of operations Decision: High-conviction entry Counterexample: Retail stock drops 30% on bankruptcy rumors. IBH Pro signals potential bottom. Fundamental check shows: ✗ Negative cash flow for 3 consecutive quarters ✗ Debt covenant violations imminent ✗ Insider selling accelerated before drop Decision: Avoid despite technical signal IV. Usefulness for Different Investor Profiles A. Long-Term Investors (Buy-and-Hold) Primary Value: Quality Entry Points Long-term investors often struggle with timing—buying quality stocks at temporarily depressed prices rather than elevated valuations. How IBH Pro Helps: Patience Enforcement: Provides objective criteria to wait for corrections rather than chasing strength Drawdown Minimization: Entering on Strong signals typically reduces initial drawdown by 5-15% vs. random entry Dollar-Cost Averaging Optimization: Use signals to time larger periodic purchases during corrections Psychological Comfort: Quantified probability scores reduce emotional decision-making during fearful markets Example Application: Investor wants to build 5% portfolio position in AAPL over 6 months Instead of buying $2,000 monthly regardless of price: Allocate $12,000 total budget Buy $3,000 on any Strong signal Buy $2,000 on Moderate signals Skip months without signals (hold cash) Result: 3-8% better average entry price, lower portfolio volatility B. Swing Traders (2-6 Week Holding Period) Primary Value: High-Probability Reversal Entries Swing traders need precise bottom identification to maximize risk-reward ratios. How IBH Pro Helps: Win Rate Improvement: Strong signals typically improve win rates from 50-55% (standard technical analysis) to 60-75% Risk-Reward Optimization: Entering near bottoms enables 3:1 to 5:1 reward-to-risk ratios Position Sizing Confidence: Higher probability allows for larger position sizes (2-3% portfolio risk vs. 1%) Reduced Holding Time: Earlier entries capture the full reversal move, reducing opportunity cost Example Trade: Stock in correction: high $58, current $51 (-12%) IBH Pro triggers Strong signal at $51 (Score: 72) Analysis: Entry: $51 Stop: $48.50 (3% below signal low) = $2.50 risk Target 1: $55.50 (20-day SMA resistance) = $4.50 reward (1.8:1) Target 2: $58 (prior high) = $7 reward (2.8:1) Scale out: 50% at Target 1, 50% at Target 2 Expected value: Positive even with 50% win rate; highly positive at 65%+ win rate C. Options Traders Primary Value: Volatility Collapse and Directional Plays Options traders benefit from both directional movement and volatility dynamics. How IBH Pro Helps: IV Crush Anticipation: Volatility scores >70 indicate elevated IV; bottoming often precedes IV collapse (profitable for option sellers) Call Option Entry Timing: Strong signals provide high-probability entry for call purchases when IV is elevated but ready to reverse Put Credit Spread Opportunities: Sell puts at signal support levels with high confidence of support holding Leap Entry Points: Identify ideal entry for 6-12 month call options at maximum fear/minimum price Example Strategy - Bull Put Spread: Stock drops to $50, IBH Pro Strong signal (Score: 68) Volatility Score: 75 (IV rank 80%) Trade: Sell $48 put (30 delta) Buy $45 put (15 delta) Collect $0.80 credit on $3 spread Max profit: $80 per spread (26% return) Max risk: $220 per spread Probability of profit: ~70% (combines 30 delta with signal confirmation) Hold 30-45 DTE Example Strategy - Call Purchase: Stock at $45, IBH Pro Strong signal Buy 60-90 DTE call, $47.50 strike (slightly OTM) Premium: $1.50 Target: 100% return ($3.00) as stock rallies to $52-55 Stop: 50% loss ($0.75) if signal fails Risk-reward: 2:1 with 65% win rate = excellent expected value D. Portfolio Managers (Institutional/Family Office) Primary Value: Systematic Rebalancing and Tactical Allocation Portfolio managers need disciplined, rules-based approaches for tactical decisions. How IBH Pro Helps: Rebalancing Timing: Instead of calendar-based rebalancing, use signals to add to underweight positions during corrections Cash Deployment: Provides objective criteria for deploying dry powder during market corrections Sector Rotation: Identify which sectors are bottoming before others Risk Budgeting: Allocate more risk capital to positions entered on Strong signals (statistically justified) Example Application - Sector Rotation: Technology sector enters correction (NDX -8%) Apply IBH Pro to QQQ and top 10 tech holdings QQQ triggers Strong signal (Score: 71) AAPL: Strong (68), MSFT: Moderate (58), NVDA: Weak (43) Action: Overweight tech sector by 2% (from neutral to +2%) Within tech, overweight AAPL and MSFT Underweight or neutral NVDA until signal improves Result: Capture sector recovery with optimized stock selection V. Parameter Optimization for Different Markets A. Large-Cap Equities (S&P 500, Blue Chips) Recommended Settings: Primary Lookback: 50 bars Minimum Drawdown: 8% Volume Climax Multiplier: 2.0-2.5 Signal Threshold: 65% Mean Reversion Period: 50 bars Rationale: Large-caps have moderate volatility, regular corrections, and reliable volume patterns. Standard settings work well. B. Small-Cap/Mid-Cap Growth Stocks Recommended Settings: Primary Lookback: 40 bars (faster cycles) Minimum Drawdown: 12-15% (higher volatility) Volume Climax Multiplier: 1.75-2.0 (more erratic volume) Signal Threshold: 60% (accept slightly more signals due to volatility) Mean Reversion Period: 40 bars Rationale: Small-caps experience sharper corrections but faster recoveries. Adjust thresholds for higher volatility while maintaining signal quality. C. Index ETFs (SPY, QQQ, IWM) Recommended Settings: Primary Lookback: 60-70 bars (longer cycles) Minimum Drawdown: 6-8% (indices mean-revert more reliably) Volume Climax Multiplier: 2.5-3.0 (huge volume spikes mark capitulation) Signal Threshold: 70% (require higher confidence for broader market calls) Cycle Min/Max: 15-60 bars (indices have more regular cycles) Rationale: Indices are more efficient, with clearer cycles and volume patterns. Higher standards appropriate for macro timing. D. Volatile Sectors (Biotech, Cannabis, Crypto-Related) Recommended Settings: Primary Lookback: 40 bars Minimum Drawdown: 15-25% (extreme volatility) Volume Climax Multiplier: 1.5-1.75 (high volume is normal) Signal Threshold: 55-60% (perfect signals rare in chaos) Bollinger StdDev: 2.5-3.0 (wider bands for volatility) Pattern Tolerance: 3-4% (less precise bottoms) Rationale: These sectors require relaxed parameters to generate actionable signals while accepting higher false positive risk. VI. Advanced Techniques and Best Practices A. Signal Confirmation Checklist Before acting on any IBH Pro signal, verify: ✓ Correction Confirmed: Dashboard shows "✓ CORR" in green ✓ Multi-Component Agreement: At least 3 components scoring >60 ✓ Volume Behavior: Either climactic spike or exhaustion pattern present ✓ No Fundamental Deterioration: Recent earnings/news don't suggest permanent impairment ✓ Broader Market Alignment: Market indices not in free-fall panic ✓ Sector Context: Sector showing stabilization or relative strength Red Flags to Avoid: ✗ Only 1-2 components elevated (narrow signal basis) ✗ Volume still increasing on down days (selling not exhausted) ✗ Negative fundamental catalysts pending (earnings miss, regulatory issues) ✗ Extremely weak broader market (systemic risk) B. Position Sizing Based on Signal Strength Strong Signal (65-74): Standard position: 2-3% portfolio allocation Max loss if stopped: 0.4-0.6% of portfolio (assuming 20% stop distance) Strong Signal (75-84): Increased position: 3-4% portfolio allocation Conviction justified by high score Strong Signal (85+): Maximum position: 4-5% portfolio allocation Rare occurrence, exceptional confluence Moderate Signal: Reduced position: 1-2% portfolio allocation Exploratory entry only C. Stop-Loss Placement Strategies ATR-Based (Recommended): Stop = Entry Price - (1.5 × 14-period ATR) Adjusts for volatility automatically Typical range: 3-7% below entry Fractal-Based: Stop = 1-2% below most recent fractal low Respects structural support Risk varies based on fractal location Time-Based (Supplementary): If no 2% profit within 5-10 bars, consider exit Prevents capital tie-up in non-performing positions Never: Use arbitrary stops (like "always 5%") without considering instrument volatility D. Profit-Taking Methodology Resistance-Based Targets: Target 1: 20-day SMA (typically 3-6% gain) Take 33-50% of position Rationale: Common first resistance after correction Target 2: Prior swing high / correction origin (typically 8-15% gain) Take 25-33% of position Move stop to breakeven on remainder Target 3: Trail stop on final portion Use 2×ATR trailing stop Capture extended moves Time-Based Exits: Review all positions at 20 bars after entry If gain <3% and momentum weak, consider exit for redeployment E. Common Mistakes to Avoid 1. Ignoring the Correction Filter Mistake: Taking signals during strong uptrends when not in correction Result: Buying minor dips that continue lower or provide minimal reward Solution: Only act when "✓ CORR" shows in dashboard 2. Over-Trading Weak Signals Mistake: Entering positions on scores below 60 Result: Win rate drops to 40-45%, eroding capital Solution: Maintain discipline to wait for Moderate (60+) or Strong (65+) signals 3. Position Sizing Without Conviction Mistake: Using same position size for score of 65 vs. 80 Result: Under-allocating to best opportunities Solution: Scale position size with signal strength 4. Neglecting Fundamental Context Mistake: Buying technical bottoms in fundamentally broken companies Result: Value traps that never recover Solution: Always screen for fundamental soundness first 5. Abandoning Signals Prematurely Mistake: Exiting at first 2-3% drawdown after entry Result: Missing successful reversals due to normal volatility Solution: Use proper stop-loss distance based on ATR, accept initial volatility VII. Real-World Performance Expectations A. Back-testing Considerations While this script doesn't include built-in back-testing, manual historical analysis typically shows: Strong Signals (Score >70): Win Rate: 60-75% (varies by market conditions) Average Gain (Winners): 8-15% over 2-4 weeks Average Loss (Losers): 3-6% (assuming disciplined stops) Expected Value: Highly positive with proper risk management Moderate Signals (Score 60-70): Win Rate: 50-65% Average Gain: 6-12% Average Loss: 4-7% Expected Value: Positive but requires larger sample size Key Variables Affecting Performance: Market regime: Bull markets show 70%+ win rates; bear markets 50-60% Sector: Technology/growth higher win rate than defensive sectors Volatility environment: High VIX periods improve signals (fear = opportunity) B. Realistic Investor Outcomes Conservative Long-Term Investor: Uses Strong signals only for entry timing Holds positions 3-12 months Improved entry pricing: 5-12% better than random timing Reduced portfolio volatility: 15-25% lower drawdowns Annual alpha generation: 2-4% above buy-and-hold Active Swing Trader: Takes Strong + Moderate signals Holds 2-6 weeks, 20-30 trades/year Win rate: 60-65% Average R-multiple: 2.5:1 Annual return: 15-30% (assuming 2% portfolio risk per trade) Options Trader: Uses signals for directional and volatility plays Win rate: 55-70% (depending on strategy) Average return per trade: 20-40% 10-15 trades/year Annual return: 25-50% on allocated capital VIII. Conclusion: The Institutional Edge for Retail Investors The Institutional Bottom Hunter Pro democratizes quantitative analysis previously available only to hedge funds and proprietary trading desks. By synthesizing eight independent analytical frameworks into an adaptive, machine-learning-inspired ensemble model, IBH Pro transforms bottom-picking from gambling into disciplined, probabilistic investing. Key Advantages: Multi-Dimensional Analysis: Overcomes single-indicator blindness through comprehensive integration Adaptive Intelligence: Self-improving system that learns from performance Risk Management: Signals only activate during defined corrections with sufficient probability Transparency: Dashboard reveals exactly which factors drive each signal Flexibility: Customizable parameters adapt to any instrument, timeframe, or strategy Ultimate Value Proposition: For investors, the compounding effect of improved entry timing cannot be overstated. Entering quality positions at 8-12% better prices through systematic correction buying achieves several critical outcomes: Lower initial drawdowns reduce emotional stress and forced selling Higher starting yields on dividend stocks improve income returns Improved risk-adjusted returns (Sharpe ratio) enhance long-term compounding Increased confidence enables larger position sizing and conviction holds IBH Pro doesn't eliminate risk or guarantee profits—no analytical tool can. However, it provides a systematic, repeatable framework for identifying high-probability bottoming conditions using institutional-grade methodology. When combined with fundamental analysis, disciplined risk management, and patient execution, it becomes a powerful edge in the perpetual challenge of buying low and selling high. Final Recommendation: Start with the default parameters on a watchlist of 15-20 quality stocks. Observe signals for 20-30 trading days before committing capital. Back-test manually on historical charts to build confidence. Begin with small position sizes (1-2%) and increase as you validate performance in your specific universe. Track your results meticulously—win rate, average gain/loss, time to profit. Use this data to refine parameters and develop your personalized application of this sophisticated tool. The difference between successful institutional investors and struggling retail traders isn't access to different markets—it's access to better analytical frameworks. IBH Pro provides that framework. Your discipline, patience, and continuous learning will determine your success in applying it.
Pine Script® インジケーター
jaydesaiguの投稿
Gann Octogram - Sacred Geometry Confluence Ver 1.0📐 Gann Octogram - Sacred Geometry Confluence Ver 1.0 Overview Advanced Gann analysis tool combining W.D. Gann's Square of Nine principles with sacred geometry and multi-factor confluence signals. This indicator automatically detects swing highs/lows and projects octogram grids forward in time and price, identifying high-probability trading opportunities where multiple factors align. Understanding Gann Octograms W.D. Gann believed markets move in geometric patterns through time and price. The octogram (8-sided figure) represents the square of nine principle where: Price divisions (1/8ths) create natural support/resistance Time cycles mark potential reversal points Diagonal angles show dynamic price-time relationships Confluence zones where geometry aligns offer highest probability trades This indicator makes these complex calculations automatic and visual. Key Features 🎯 Intelligent Auto-Detection Auto Gann Number Selection: Automatically chooses optimal Gann period (11, 22, 44, 88, 176) based on timeframe and data availability Adaptive Half-Period Mode: Uses Gann/2 for faster swing detection while validating with full period Smart Grid Projection: Projects octagrams near current price action for relevance 📊 Sacred Geometry Visualization Octogram Grids: Complete octagonal geometry with inner square, angled square, and connecting lines Gann Angles: 1×1 and 2×1 diagonal support/resistance angles Time Cycles: Quarter, half, and three-quarter cycle markers Price Levels: Automatic 1/8th division levels (0%, 12.5%, 25%, 37.5%, 50%, 62.5%, 75%, 87.5%, 100%) ⚡ Advanced Confluence System Adjustable 4-Factor Confluence (Levels 0-4): Price Level Touch: Precise detection of key support/resistance levels Time Cycle Alignment: Major (25%, 50%, 75%) and minor (1/8th divisions) cycles Octogram Geometry: Proximity to vertices and diagonal angles Price Action: Bullish/bearish candle confirmation Confluence Levels: Level 0: Signals on price touch only (most signals) Level 1: Minimum 1 factor required Level 2: Minimum 2 factors (⭐ recommended - balanced) Level 3: Minimum 3 factors (strict quality) Level 4: All 4 factors required (highest quality, fewer signals) 🛡️ Signal Quality Controls Max Signals Per Cell: Limit signals to 1-10 per grid cell Cooldown Period: Minimum bars between consecutive signals Cell Signal Tracking: Automatic reset when entering new time cells Adjustable Tolerances: Fine-tune price and geometry sensitivity How It Works Swing Detection: Identifies significant market swings using pivot highs/lows Grid Construction: Builds octogram grid from swing high to swing low Multi-Grid Projection: Projects multiple cells forward (time) and vertically (price) Confluence Analysis: Monitors all 4 factors continuously Signal Generation: Fires BUY/SELL when confluence threshold is met BUY Signals trigger when: Price touches LOW zones (0%-50%) At key time cycle points Near octogram geometry Bullish candle forms SELL Signals trigger when: Price touches HIGH zones (50%-100%) At key time cycle points Near octogram geometry Bearish candle forms Settings Guide Structure Settings Auto Gann Number: Enable for automatic period selection (recommended) Manual Gann Number: 11, 22, 44, 88, or 176 bars Use Half Period: Faster detection using Gann/2 lookback Grid Stability: Adaptive (1/8th) / Strict (1/4th) / Relaxed (1/16th) Signal Settings ⚙️ Confluence Level: 0-4 (start with 2) Price Tolerance: 1-8% (default 3%) Geometry Tolerance: 0.5-5% (default 2.5%) Min Bars Between Signals: 1-20 (default 3) Max Signals Per Cell: 1-10 (default 4-6) Display Options Toggle grid squares, octagrams, triangles, Gann angles Customizable colors for all elements Time cycle visualization Swing high/low markers Info panel with swing statistics Best Practices For Day Trading (5min-15min charts): Confluence Level: 2 Auto Gann: ON Grid Stability: Adaptive Max Signals Per Cell: 4-6 For Swing Trading (1H-4H charts): Confluence Level: 3 Auto Gann: ON Grid Stability: Strict Max Signals Per Cell: 2-4 For Position Trading (Daily charts): Confluence Level: 3-4 Manual Gann: 88 or 176 Grid Stability: Strict Max Signals Per Cell: 2-3 Alert Setup Built-in alert conditions: Gann Octogram Buy - Fires on BUY signal Gann Octogram Sell - Fires on SELL signal Configure alerts using TradingView's alert system to get notified when confluence zones trigger. Backtesting Tips Start with Confluence Level 2 (balanced approach) Increase level to 3-4 if too many signals Decrease to 1 if missing opportunities Adjust tolerances based on asset volatility Test different Gann numbers for your specific market Credits & Theory Based on W.D. Gann's principles: Square of Nine Time-Price Geometry Sacred Geometry (Octograms) Natural Market Cycles Developed with modern Pine Script for reliability, efficiency, and user control. Version History Ver 1.0 - Initial Release 4-factor confluence system Auto Gann number selection Adjustable confluence levels (0-4) Sacred geometry visualization Signal quality controls Support For questions, suggestions, or issues: Comment on this indicator Check the code (open source) Experiment with settings for your trading style Happy Trading! 📈 Disclaimer This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose. Backtest thoroughly before live trading.
Pine Script® インジケーター
TimePriceDecoderの投稿
Financial Astrology Sun LongitudeFinancial astrology is a branch of mundane astrology that research the correlations of planet cycles with market prices, this indicator developed by the Financial Astrology Research Group provides the visualization of the Sun Tropical Zodiac Longitude to support that astrology traders can study multiple markets within the powerful Trading View UI to detect potential cyclical patterns in price action that are connected with the cosmic rhythm of the Sun. The Sun have been very relevant cycle among all ancient civilizations such as Maya, Aztec, Inca, this cyclical move is the fundamental frequency of our life's due to the fact that our calendar year is a model from this cycle. Chinese astrologers and W.D. Gann was aware of the powerful predictive power of the solar terms which is a representation of the most relevant weather transitions within the Sun longitude path. With this indicator we try to ease the research work of the amazing community of astro-traders that prior to this indicators needed to create hundreds of manual annotations on the markets price charts to visualize the Sun zodiac position within a long period of time in order to research potential cycles. That manual work is over. Let's move faster in our cycles research! We encourage all traders using astrology to continue their research, please share your ideas of astro cycles trading strategies and contribute your experiments at our Github exploration projects: github.com Note: The Sun longitude is based on an ephemeris array that covers years 2010 to 2030, prior or after this years the longitude is not available, this daily ephemeris are based on UTC time so in order to align properly with the price bars times you should set UTC as your chart reference timezone.
Pine Script® インジケーター
citlacomの投稿
4
Triple EMA + Stochastic/ADX# Triple EMA + Stochastic/ADX Breakout Indicator A professional TradingView indicator designed for trend-following and momentum breakout trading. This system uses a hierarchical confirmation process to ensure high-probability entries and robust trend maintenance. ## 🚀 Core Trading Logic: "The Setup Cycle" This indicator operates on a **Cycle-Based Logic** rather than simple crossovers. A trade cycle is defined as: 1. **The Setup (Priming)**: A Stochastic crossover (K > D for Long, D > K for Short) initiates a "Setup Mode." This is marked by a small dot (Blue for Long, Orange for Short). 2. **The Confirmation (Trend)**: The systems checks for hierarchical EMA alignment (Fast > Medium > Slow for Longs). 3. **The Trigger (Breakout)**: Once the Setup is active and EMAs are aligned, every **Price Breakout** above the previous high (X-period) triggers a continuous **BUY/SELL mark**. 4. **The Exit (Take Profit/Stop)**: The cycle and trade only end when the Fast EMA crosses back over the Medium EMA (EMA 9/21 crossover). --- ## 🛠 Features ### 1. Triple EMA System * **Hierarchical Alignment**: Requires Fast > Medium > Slow (9, 21, 50 by default) for a confirmed trend direction. * **Dynamic Trend Background**: Chart background changes color when a full EMA trend is established. ### 2. Dual Filter System (Stochastic & ADX) * **Stochastic Setup**: Uses smoothed %K and %D to identify the start of momentum cycles. * **ADX Filter**: Provides a trend-strength baseline. Default threshold is set to 20 to filter out choppy markets. ### 3. Price Breakout Confirmation * Requires price to break above/below the previous High/Low of the last X bars (default 10). * Allows for **continuous entries** within a single trend cycle. ### 4. Robust Exit Strategy * **EMA Crossover Exit**: The primary exit method. Triggers an "EXIT" flag when the trend momentum shifts. * **ATR Trailing Stop**: A secondary volatility-based stop that moves with the price. Can be set as the absolute exit or used for visual reference. ### 5. Mean Reversion Mode (Optional) * Identifies overextended price action (percent deviation from EMA2). * Signals potential "bounce" or "rejection" trades against the trend. --- ## 📊 Dashboard & Visuals * **🟢 BUY / 🔴 SELL**: Trend continuation breakout signals. * **🟠 EXIT / 🟣 EXIT**: Trend reversal/exit signals. * **🔵/🟠 Small Dots**: Setup priming moments. * **Real-time Dashboard**: Displays current Setup Status, EMA Alignment, Breakout status, ADX strength, and calculated Stop levels. --- ## ⚙️ How to Customize | Parameter | Recommended Use | | :--- | :--- | | **Breakout Lookback** | Lower (3-5) for aggressive scalping, Higher (10-20) for conservative trends. | | **Filter Mode** | Choose "Stochastic" for momentum or "ADX" for trend strength preference. | | **ATR Multiplier** | Reduce (1.5) for tighter stops, Increase (3.0) for wider trend following. | | **Exit ONLY on EMA** | Enable to stay in trades longer; Disable to exit immediately on ATR stop hits. | --- ## 📥 Installation 1. Open your **Pine Editor** in TradingView. 2. Create a new "Indicator." 3. Copy the code from `Triple_EMA_Stochastic_ADX.pine`. 4. Click **Save** and **Add to Chart**. --- *Developed for Dhan/MCX/Futures and general Asset Trading.*
Pine Script® インジケーター
trade_crushの投稿
1
Atlantean Bitcoin Weekly Market Condition - Top/Bottom BTC Overview: The "Atlantean Bitcoin Weekly Market Condition Detector - Top/Bottom BTC" is a specialized TradingView indicator designed to identify significant turning points in the Bitcoin market on a weekly basis. By analyzing long-term and short-term moving averages across two distinct resolutions, this indicator provides traders with valuable insights into potential market bottoms and tops, as well as the initiation of bull markets. Key Features: Market Bottom Detection: The script uses a combination of a simple moving average (SMA) and an exponential moving average (EMA) calculated over long and short periods to identify potential market bottoms. When these conditions are met, the script signals a "Market Bottom" label on the chart, indicating a possible buying opportunity. Bull Market Start Indicator: When the short-term EMA crosses above the long-term SMA, it signals the beginning of a bull market. This is marked by a "Bull Market Start" label on the chart, helping traders to prepare for potential market upswings. Market Top Detection: The script identifies potential market tops by analyzing the crossunder of long and short-term moving averages. A "Market Top" label is plotted, suggesting a potential selling point. Customizable Moving Averages Display: Users can choose to display the moving averages used for detecting market tops and bottoms, providing additional insights into market conditions. How It Works: The indicator operates by monitoring the interactions between the specified moving averages: Market Bottom: Detected when the long-term SMA (adjusted by a factor of 0.745) crosses over the short-term EMA. Bull Market Start: Detected when the short-term EMA crosses above the long-term SMA. Market Top: Detected when the long-term SMA (adjusted by a factor of 2) crosses under the short-term SMA. These conditions are highlighted on the chart, allowing traders to visualize significant market events and make informed decisions. Intended Use: This indicator is best used on weekly Bitcoin charts. It’s designed to provide long-term market insights rather than short-term trading signals. Traders can use this tool to identify strategic entry and exit points during major market cycles. The optional display of moving averages can further enhance understanding of market dynamics. Originality and Utility: Unlike many other indicators, this script not only highlights traditional market tops and bottoms but also identifies the aggressive start of bull markets, offering a comprehensive view of market conditions. The unique combination of adjusted moving averages makes this script a valuable tool for long-term Bitcoin traders. Disclaimer: The signals provided by this indicator are based on historical data and mathematical calculations. They do not guarantee future market performance. Traders should use this tool as part of a broader trading strategy and consider other factors before making trading decisions. Not financial advice. Happy Trading! By Atlantean
Pine Script® インジケーター
Atlantean_Tradeの投稿
AMD Phases + Dashboard📊 AMD (Accumulation–Manipulation–Distribution) Indicator – How It Works This indicator is a rule-based market phase classifier inspired by Wyckoff / Smart Money Concepts. It does not predict the future, but instead interprets current market behavior using price range, volume, and volatility to identify where we are in the market cycle. 🔁 The AMD Market Cycle (Big Picture) Markets tend to repeat this cycle: Accumulation → Smart money buys quietly Manipulation → Liquidity grab / false breakout Distribution → Smart money sells to the public Expansion / Decline → Strong directional move Your script focuses on detecting phases 1–3, which occur before large moves. 🧠 What Data the Script Uses The script analyzes three core variables: 1️⃣ Price Range (Structure) Highest high vs lowest low over a lookback window Tight range = consolidation Expanding range = distribution or breakout 2️⃣ Volume Behavior Low volume = lack of interest (accumulation) Sudden volume spike = manipulation or distribution 3️⃣ Volatility Expansion Small candles → compression Large impulsive candles → transition or distribution 🟥 Phase 1 — Accumulation (Red Bubble, White Text) What it means Smart money is building positions Price moves sideways Public interest is low Volume is below average Volatility is compressed How the script detects it Narrow price range Volume below its moving average No strong trend direction How traders use it Look for long setups Mark support and resistance Prepare for a future breakout Do NOT chase trades here 🟧 Phase 2 — Manipulation (Dark Orange Bubble, White Text) What it means Liquidity grab False breakout above or below the range Designed to trigger stop-losses Often very emotional price action How the script detects it Sudden range expansion Volume spike relative to recent average Break outside the accumulation range Candle closes back inside or shows rejection How traders use it Avoid entering breakouts immediately Look for reversal confirmation This is often the best risk-to-reward phase 🟦 Phase 3 — Distribution (Dark Blue Bubble, White Text) What it means Smart money is exiting positions Public traders are buying late Volatility increases Trend starts to weaken or reverse How the script detects it Larger candles Sustained high volume Expanding range Signs of exhaustion How traders use it Take profits on longs Look for short setups Watch for trend reversals Stops should be tighter 🧭 Dashboard & On-Chart Bubbles 🔹 Dashboard Shows the current detected phase Updates in real time Helps with context, not entries 🔹 Locked Bubbles Labels are anchored to the candle Each bubble appears only when a phase is active Color-coded for instant recognition Phase Color Text Accumulation Red White Manipulation Dark Orange White Distribution Dark Blue White ⚠️ Important Notes This is a context tool, not a signal generator Best used with: Support & resistance Liquidity levels Market structure (HH / HL / LH / LL) Works best on: 15m – 4H Crypto, Forex, Indices 🧩 How to Trade With It (Simple Framework) Identify phase Wait for confirmation Enter on structure Manage risk tightly Exit when phase changes 🧠 Final Thought Think of this indicator as: “A market story teller, not a fortune teller.” It helps you understand who is in control — buyers or sellers — and when NOT to trade, which is just as important. WARNING , TRADE AT YOUR OWN RISK, THIS INFORMATION IS TO HELP , THE INFORMATION PROVIDED BY THE INDICATOR IS SPECULATIVE
Pine Script® インジケーター
lessandoval617の投稿
RT-Mayer MultipleThe Mayer Multiple is a simple metric used to gauge whether Bitcoin is overvalued, undervalued, or fairly priced relative to its long term trend. It compares Bitcoin’s current price to its 200 day moving average and expresses that relationship as a single number. Introduction The Mayer Multiple was popularized by investor Trace Mayer as a way to track how far Bitcoin has stretched above or below its 200 day moving average (200DMA). The basic idea is: Mayer Multiple = Current Bitcoin Price / 200 Day Moving Average of Bitcoin When this ratio is low, price is trading close to or below its long term trend. When it is very high, price is extended well above trend and risk of mean reversion grows. This script takes that concept and turns it into a set of colored bands around price. Instead of just plotting a single Mayer Multiple line, it maps different ranges of the multiple into visual “zones” so traders can quickly see whether Bitcoin is in a typical range, an accumulation zone, or a historically stretched area. Behind The Math In this implementation, the current Mayer Multiple value is computed for each bar and then mapped into band levels that typically span from roughly 0.4 up to the 8.0+ region. Each band represents a different multiple of the 200DMA. Conceptually: Values near 1.0 mean price is trading near its 200 day moving average. Values well below 1.0 highlight periods where price is trading at a discount to long term trend. Values far above 1.0 highlight periods where price is trading at a large premium to long term trend. By converting these ranges into layered color zones, the script lets traders see where current price sits in the broader historical distribution of Mayer Multiple values, instead of focusing on a single number. In the chart below, the formula is overlaid in the center of the screen so you can see how the multiple is defined while looking at the bands. Points Of Interest Two regions on the Mayer structure tend to attract the most attention: lower “accumulation” areas and higher “distribution” areas. Accumulation Historically, many of the best long term accumulation opportunities have occurred when the Mayer Multiple spent time below roughly 0.9. In those zones, price is trading below its 200DMA and the band colors indicate that Bitcoin is at a relative discount compared to its long term trend. In the example chart below, the white arrows highlight past periods where price spent time in the lower bands while the Mayer Multiple was below roughly 0.9. Distribution On the other side, readings above roughly 2.0 have often lined up with distribution or profit taking areas, where price is extended well above the 200DMA. These zones have frequently preceded larger drawdowns or multi month cooling periods. In the example chart below, the white arrows highlight periods where price pushed into the upper bands above 2.0, areas that have often preceded larger cooling phases. The 2.4 Rule During the original exploration of the Mayer Multiple, backtests suggested that buying when the multiple was already above about 2.4 tended to produce weaker risk adjusted returns. In simple terms, history showed that: A Mayer Multiple above 2.4 means Bitcoin is trading at more than 240 percent of its 200 day moving average. Many of the most extreme speculative peaks occurred when the multiple was in or above this zone. After such peaks, price often reverted back toward the 200DMA with drawdowns in the 30 percent to 80 percent range. In this script, the 2.4 level is highlighted as a caution band. It does not mean price must reverse immediately, but it marks an area where the balance between upside potential and downside risk has historically shifted. In the chart below, the white arrow marks the 2.4 band that this script highlights as a caution zone. Why Traders Watch This Zone There are a few reasons traders and investors watch the upper Mayer bands, especially the 2.4 area: Historical patterns – Many of Bitcoin’s more extreme tops, such as late 2013, late 2017, and early 2021, occurred when the Mayer Multiple was well above 2.0 and frequently near or above 2.4. Overheated zone – When price is this far above its long term average, markets are often driven by FOMO and speculative flows rather than steady accumulation. Mean reversion risk – Over time, price has repeatedly reverted back toward or below the 200DMA after visiting these upper bands. Risk / reward balance – Above 2.4, the probability of large additional gains tends to shrink relative to the risk of a sharp correction, which is why many longer term participants treat it as a caution area rather than a fresh entry zone. How Traders Use The Bands Traders can use the Mayer Multiple bands in different ways depending on their style: Long term investors may look for accumulation when the multiple is below 1.0 and be more cautious when it moves into higher bands. Swing traders may use the bands as context when combining this script with structure, volume, or other timing tools. Cycle focused traders may use the multiple to help frame where Bitcoin could be within a broader four year cycle. This script is not a timing system by itself. It is intended as a context layer that helps answer “where are we relative to long term trend?” in a visual way. What Makes This Tool Different Many resources plot the Mayer Multiple as a single ratio line. This script focuses on turning that ratio into a banded structure around price so traders can see cycle zones on the chart itself: It computes the Mayer Multiple on each bar and maps the value into multiple color coded bands instead of a single line. It highlights historically important regions such as deep discounts, mid range trend zones, and high risk extension zones including the 2.4 band. It is designed specifically for Bitcoin’s long term behavior, but the visual framework can be useful for studying other assets that have strong trend cycles. Important Note This indicator is intended to provide additional context around where price sits relative to its long term trend. It is not a standalone signal generator and should always be used together with your own analysis, testing, and risk management. Historical Mayer Multiple behavior does not guarantee future results, and past cycle extremes may not repeat in the same way. 🐋 Tight lines and happy trading!
Pine Script® インジケーター
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