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Gann Pyramid Time Cycles [PyraTime]Gann Pyramid Time Cycle by PyraTime is a specialized technical analysis tool based on the harmonic theories of W.D. Gann. Unlike standard indicators that smooth price with averages (like EMAs or RSIs), PyraTime focuses on Time-Price Geometry, operating on the principle that specific time intervals dictate market structure. This script allows traders to anchor a starting point (a major high or low) and project "Pyramid" time cycles forward. It uses esoteric counts (such as the 27-minute Lunar cycle and the Square of 144) to identify potential pivot points and structural breakout zones. Key Features Custom Time Anchoring: Set a specific historical date and time as your "Zero Point." All analysis projects mathematically from this single anchor. Harmonic Intervals: Includes specific Gann intervals (Lunar 27m, Solar 33m, Master 22m) alongside standard timeframes. Cycle Confluence Detector: Automatically highlights the chart background when multiple independent time cycles align, indicating a high-probability volatility window. Structural Breakout Signals: Identifies "Time-Price Boxes" by capturing the High/Low range at the start of a major harmonic cycle. Signals are generated only when price breaks this defined structure. Smart Dashboard: A monitor panel that tracks active cycles and counts down to the next major time pivot. Comprehensive Tutorial 1. The Concept: Squaring Time and Price The core utility of this script is to visualize the "Rhythm" of the market. It does not use moving averages. Instead, it waits for a "Time Beat" to complete and then marks the price range of that moment as a critical zone for the future. 2. Setting Your Anchor (Crucial Step) The accuracy of this tool depends entirely on your Origin Pivot. Identify a significant Major High or Major Low. Open Settings and set the "Origin Pivot (Anchor)" to that exact Date and Time. The script will immediately recalculate all geometry from that point. 3. Selecting Your Cycles The script offers two cycle categories: Standard Intervals: 4H, Daily (Good for macro trends). Gann Intervals: 27m (Lunar): (Default ON) Effective for high-volatility assets like Crypto/Indices. 33m (Solar): Often tracks institutional algorithmic flows. 144m: The "Square of 12" master cycle. 4. How to Trade the Signals The Vertical Lines (Time Pivots) These represent purely Time. When price hits a line, expect a shift in behavior (reversal or acceleration). Confluence: If the background turns Gold, 3+ cycles are peaking simultaneously. This is a major alert. The Price Boxes (Breakout Logic) At a "Harmonic" count (e.g., 180, 360), the script draws a box based on that specific candle's High and Low. Red Line: The High of the Time-Pivot candle. Green Line: The Low of the Time-Pivot candle. Buy Signal: Generated when a candle closes above the Red Line. Sell Signal: Generated when a candle closes below the Green Line. This filters out noise by ensuring you only trade when price breaks the structure defined by the Time Cycle. Settings Guide Show Dashboard: Toggles the countdown panel. Show Cycle S/R Levels: Toggles the horizontal support/resistance lines. Show Breakout Signals: Toggles "BUY" and "SELL" labels (Default: OFF). Show Labels on Lines: Toggles text on vertical lines (Default: OFF for cleaner charts). Risk Disclaimer Trading financial markets involves high risk. This script is a technical analysis tool for projecting time cycles and historical price structures. It does not guarantee future performance or profits. Past cycle alignment does not ensure future market movement. Always manage your risk.
Pine Script® 인디케이터
PyraTime의
Engulfing Cycle# **Engulfing Cycles - Opening & Mid Phase** 📊⚡ ## **Advanced Cyclical Timing Strategy with Engulfing Patterns** ### **🎯 CORE CONCEPT** Innovative strategy combining **engulfing candlestick patterns** with **market cycle analysis** to identify high-probability entry points during opening and mid-cycle phases. Not just another engulfing detector, but a complete system selecting ONLY patterns occurring at cyclically optimal moments. ### **⚙️ HOW IT WORKS** **1. TWO CYCLE TYPES:** - **Index Cycle**: From pivot low to pivot high (bullish phase) - **Inverse Cycle**: From pivot high to pivot low (bearish phase) **2. PRIVILEGED TIMING ZONES:** - **OPENING ZONE**: First 8 bars after a pivot (maximum cycle energy) - **MID ZONE**: Bars 14-25 (momentum renewal) **3. MULTI-LEVEL SIGNAL SYSTEM:** ``` Level 1: Basic engulfing (gray signals) Level 2: Engulfing in valid zone (orange) Level 3: OPTIMAL engulfing with ≥3/6 filters (green/red) ``` ### **🔍 INTEGRATED CONFIRMATION FILTERS** **PRIMARY TREND:** - Gann High/Low system for directional bias - Dual EMA (78/278) for momentum confirmation **MOMENTUM:** - RSI for overbought/oversold conditions - Volume above average (configurable) **STRUCTURE:** - Dynamic support/resistance levels - Minimum distance from EMA for movement space - Pullback validation ### **📈 COMPLETE VISUALIZATION** **GRAPHICAL ELEMENTS:** - ✅ **Color-coded signals** (gray → orange → green/red) - ✅ **Cycle zone backgrounds** (green/blue for opening/mid) - ✅ **EMA & Gann lines** with trend coloring - ✅ **Support/Resistance** with circle style - ✅ **Real-time info table** (top-right corner) **INCLUDED DATA TABLE:** - Total/optimal signal statistics - Current cycle type (Index/Inverse) - Bars since pivot counters - Active filter status - Current cycle zone - Anti-spam lock status ### **⚡ MULTI-LEVEL ALERT SYSTEM** **5 CONFIGURABLE ALERT TYPES:** 1. 🔔 **Any Engulfing** - General monitoring 2. ⬆️ **Bull Engulfing** - Basic bullish pattern 3. ⬇️ **Bear Engulfing** - Basic bearish pattern 4. 🟠 **In Valid Zone** - Added cyclical timing 5. 🟢🔴 **OPTIMAL SIGNALS** - Premium signals with maximum confirmation ### **🎚️ FULLY ADJUSTABLE PARAMETERS** **CYCLES:** - Minimum/Average/Maximum (21/32/44 default) - Opening Zone (8 bars) and Mid Zone (14-25 bars) **FILTERS:** - Volume multiplier (1.2x default) - Minimum engulfing body size (1.5x default) - RSI thresholds (70/30) - Minimum EMA distance (1.5%) **TECHNICALS:** - EMA periods (78/278) - Gann periods (13/21) - Pivot length (5) ### **🛡️ PROTECTION SYSTEMS** **ANTI-SPAM:** - 5-bar lock after signal - Price stagnation detection - Only 1 signal per movement **QUALITY CONTROL:** - Minimum 3/6 active filters required - Cycle zone validation - Volume and momentum confirmation ### **📊 PRACTICAL APPLICATION** **RECOMMENDED TIMEFRAMES:** 1H, 4H, Daily **ASSETS:** Major Forex pairs, Indices, Liquid stocks **CONTEXT:** Best in markets with defined cycles **OPTIMAL SIGNAL =** ``` + + + + ``` ### **🎨 PROFESSIONAL DESIGN** - Clean, non-invasive interface - Intuitive color coding - All elements toggleable - Light performance (max_bars_back=500) ### **📋 UNIQUE FEATURES** 1. **CYCLICAL TIMING** - Not just WHAT, but WHEN 2. **SIGNAL GRADATION** - From basic to optimal 3. **SELF-CONTROL** - Built-in anti-false system 4. **TRANSPARENCY** - All filters visible in table 5. **FLEXIBILITY** - Adaptable to different trading styles --- **⚠️ DISCLAIMER:** This is an advanced analytical tool. "Optimal" signals (green/red) offer higher reliability but still require appropriate risk management. Always backtest on historical data before live use. **Author:** Alblanz **Category:** Patterns + Cycles + Timing **Complexity:** Medium-High **Version:** 5.0 **Updated:** [4/12/2025 *For support or suggestions, leave a comment on the script page.*
Pine Script® 인디케이터
alblanz의
Ehlers Cyber Cycle [CC]The Cyber Cycle was created by John Ehlers (Cybernetic Analysis For Stocks And Futures pg 34) and this is one of my favorite Ehlers indicators. I use it personally for exits but it has several uses. It gives great entry and exit signals when you enter when it is at the bottom or at the very top during a cycle. When it is above 0 then the stock is in a strong uptrend and when it is below 0 then the stock is in a strong downtrend. It is also very reactive as well with zero lag according to Ehlers. Buy when the indicator line is green and sell when it is red. Let me know if there are other scripts you would like to see me publish or if you want something custom done!
Pine Script® 인디케이터
cheatcountry의
4
Credit Cycle IndexThe Credit Cycle Index represents a systematic approach to measuring financial market conditions through the aggregation of multiple credit and risk metrics. This indicator draws conceptual inspiration from academic research on credit cycles and their relationship to asset returns, building on the work of Gilchrist and Zakrajsek (2012) who demonstrated that credit spreads contain significant predictive information about economic activity and equity market performance. The indicator synthesizes publicly available market data into a unified framework that captures shifts in financial conditions before they become apparent in price action. The theoretical foundation of credit cycle analysis rests on decades of research documenting the relationship between credit market conditions and asset returns. Bernanke and Gertler (1995) established the credit channel of monetary policy transmission, demonstrating how financial conditions amplify and propagate economic shocks through the broader economy. Schularick and Taylor (2012) documented how credit growth and credit conditions historically preceded major market dislocations, while Krishnamurthy and Muir (2017) showed that credit market variables exhibit predictable cyclical patterns that correlate with subsequent equity returns. These empirical findings suggest that monitoring credit conditions provides valuable information about the risk environment facing investors. Unlike sentiment indicators that employ contrarian logic based on the assumption that crowd psychology overshoots at extremes, the Credit Cycle Index operates on regime-based principles. Credit market conditions tend to persist rather than mean-revert quickly. Favorable credit conditions typically support continued risk asset performance, while deteriorating conditions often precede extended periods of weakness. This approach recognizes that credit cycles operate on different timescales than sentiment cycles and require different strategic responses. Methodology and calculation framework The methodology underlying the Credit Cycle Index incorporates statistical normalization techniques that transform raw market data into comparable standardized scores. Each component factor undergoes robust calculation using median absolute deviation to reduce sensitivity to outliers, a technique that proves particularly valuable during market stress when traditional standard deviation measures become unreliable. These normalized components aggregate using a weighting scheme that adjusts dynamically based on prevailing market conditions, with stress-sensitive components receiving increased weight during periods of elevated market vulnerability. The model produces values on a scale from zero to one hundred, where higher readings indicate favorable financial conditions and lower readings signal deteriorating conditions. Readings above seventy suggest healthy credit environments where risk assets typically perform well. The zone between forty and seventy represents normal conditions without strong directional bias. Readings below forty indicate meaningful stress, with values below twenty signaling crisis-level conditions across multiple components. The model incorporates quality filters designed to enhance signal reliability. A consensus filter examines whether multiple underlying components align in the same direction, adding weight to signals when broad agreement exists across different market factors. A momentum filter requires positive index momentum to persist for a minimum duration before confirming entry signals, preventing premature positioning during temporary rebounds within deteriorating environments. These refinements reduce the probability of acting on spurious readings. Professional application and portfolio integration Professional portfolio managers recognize the value of credit condition indicators as tools for risk management and tactical allocation. The fundamental insight underlying credit-based strategies is empirically robust: favorable credit conditions create supportive environments for risk assets, while deteriorating conditions warrant defensive positioning. Lopez-Salido, Stein and Zakrajsek (2017) found that credit market sentiment significantly predicts economic activity and asset returns, with their research suggesting that credit conditions lead equity market performance by several months. For institutional investors operating with fiduciary responsibilities, the Credit Cycle Index serves as one input in risk management frameworks. Asset managers might use deteriorating readings to trigger portfolio review processes, stress testing exercises, or adjustments to tactical allocation overlays. The indicator proves valuable when it diverges from prevailing market narratives, as such divergences often precede meaningful market inflections. Systematic investors can incorporate the index as a conditioning variable that adjusts position sizing based on the prevailing credit environment. The integration of credit analysis into investment practice finds support in the concept that credit markets often lead equity markets in recognizing fundamental shifts. Credit market participants including bond investors and lenders frequently possess informational advantages regarding corporate financial health and economic conditions. When credit conditions deteriorate, this often reflects information that has not yet fully incorporated into equity prices, creating opportunities for investors who monitor these signals systematically. Practical implementation for individual investors The practical implementation of the indicator follows straightforward principles. When the index rises into the favorable zone above seventy with quality filter confirmation, this suggests credit conditions support risk asset exposure. When the index falls below the caution threshold of forty, defensive positioning becomes appropriate. This could manifest as reducing equity allocations, increasing cash reserves, or implementing protective strategies. The zone between these thresholds suggests balanced conditions where other analytical frameworks should take precedence. Individual investors can derive benefit from the indicator by treating readings as alerts warranting examination of portfolio positioning. A reading in the favorable zone might prompt consideration of whether current equity exposure aligns with target allocations. A reading in the stress zone could trigger review of whether risk reduction measures merit consideration. The indicator should inform rather than dictate investment decisions, serving as one perspective within a broader analytical framework. The decision to implement a credit condition indicator within an investment process requires consideration of how it complements existing approaches. Fundamental investors can use credit readings to assess whether the risk environment supports their positioning. Technical analysts may find that credit conditions help contextualize price patterns, with favorable conditions adding conviction to bullish setups and deteriorating conditions warranting caution. Quantitative investors might incorporate credit factors into multi-factor models or use them to adjust position sizing. Trading behavior and strategy characteristics The Credit Cycle Index employs a regime-following methodology that differs from both trend following and contrarian approaches. The trading logic accumulates positions when credit conditions indicate favorable environments and reduces exposure when conditions deteriorate. This approach positions with prevailing credit market signals rather than against them, recognizing that credit conditions exhibit persistence. The observation that the indicator may signal favorable conditions while price volatility continues represents an inherent characteristic of regime-based strategies. When the indicator signals favorable conditions, this indicates that underlying credit metrics remain supportive despite surface-level price fluctuations. The indicator identifies phases where credit fundamentals support risk positioning, though short-term price movements may deviate from this underlying support. Potential users should understand this behavioral characteristic before implementation. The strategy will maintain risk exposure during favorable credit conditions even when equity prices experience temporary weakness. It will advocate defensive positioning during credit deterioration even when equity prices appear stable. Success requires trust in the underlying credit signals and willingness to accept that price action and credit conditions may temporarily diverge. Suitability and implementation requirements The Credit Cycle Index aligns appropriately with investors possessing specific characteristics. First, a medium to long term investment horizon proves essential. Credit cycles operate over weeks to months rather than days, and the strategy requires patience to capture regime shifts. Second, a risk management orientation that prioritizes avoiding large drawdowns suits the defensive nature of the indicator during stress periods. Third, comfort with systematic decision making helps maintain discipline when credit signals conflict with prevailing market narratives. The indicator proves less suitable for day traders seeking intraday signals, investors who prefer purely contrarian approaches, those requiring constant market exposure regardless of conditions, and individuals unable to tolerate periods when the indicator conflicts with price momentum. Institutional investors with strict benchmark tracking requirements may find the strategy incompatible with their mandates despite its risk management merits. For appropriate investors, the Credit Cycle Index offers a systematic framework for monitoring financial conditions and adjusting risk exposure accordingly. By providing an objective assessment of credit market health, the indicator helps investors recognize environment shifts and consider positioning adjustments when conditions warrant. The strategy demands patience and discipline but rewards those characteristics with the potential for improved risk-adjusted returns through drawdown reduction during stress periods. References Ang, A. and Timmermann, A. (2012) Regime changes and financial markets. Annual Review of Financial Economics, 4, pp. 313 to 337. Bernanke, B.S. and Gertler, M. (1995) Inside the black box: The credit channel of monetary policy transmission. Journal of Economic Perspectives, 9(4), pp. 27 to 48. Campbell, J.Y. and Thompson, S.B. (2008) Predicting excess stock returns out of sample: Can anything beat the historical average? The Review of Financial Studies, 21(4), pp. 1509 to 1531. Collin-Dufresne, P., Goldstein, R.S. and Martin, J.S. (2001) The determinants of credit spread changes. The Journal of Finance, 56(6), pp. 2177 to 2207. Gilchrist, S. and Zakrajsek, E. (2012) Credit spreads and business cycle fluctuations. American Economic Review, 102(4), pp. 1692 to 1720. Hamilton, J.D. (1989) A new approach to the economic analysis of nonstationary time series and the business cycle. Econometrica, 57(2), pp. 357 to 384. Krishnamurthy, A. and Muir, T. (2017) How credit cycles across a financial crisis. NBER Working Paper No. 23850. Lopez-Salido, D., Stein, J.C. and Zakrajsek, E. (2017) Credit-market sentiment and the business cycle. The Quarterly Journal of Economics, 132(3), pp. 1373 to 1426. Merton, R.C. (1974) On the pricing of corporate debt: The risk structure of interest rates. The Journal of Finance, 29(2), pp. 449 to 470. Schularick, M. and Taylor, A.M. (2012) Credit booms gone bust: Monetary policy, leverage cycles, and financial crises, 1870 to 2008. American Economic Review, 102(2), pp. 1029 to 1061.
Pine Script® 인디케이터유료 스크립트
EdgeTools의
60-Day Cycle Long-Only IndicatorThe following indicator generates ‘Buy’ signals based on rotating 60-day cycles. The general theory is that when buying strong, growth-oriented assets, 60-day micro-cycles culminate into larger macro-cycles. Summary: Explaining the Upper and Lower Bounds in the 60-Day Cycle Strategy: 1. Cycle High (Upper Bound): The cycle high is the highest closing price of the asset over the past 60 days. This value acts as the upper boundary of the 60-day cycle, indicating the peak price level during this period. When the current closing price is above this boundary, it suggests a potential distribution phase, where the asset might be overbought, and larger players may be selling off their positions. In the strategy, the cycle high is plotted as a red line on the chart, helping traders visually identify the upper limit of the 60-day trading range. 2. Cycle Low (Lower Bound): The cycle low is the lowest closing price of the asset over the past 60 days. This value acts as the lower boundary of the 60-day cycle, indicating the trough price level during this period. When the current closing price is below this boundary, it suggests a potential accumulation phase, where the asset might be oversold, and larger players may be accumulating positions at lower prices. In the strategy, the cycle low is plotted as an orange line on the chart, helping traders visually identify the lower limit of the 60-day trading range. How These Bounds Are Calculated: • Cycle High: Calculated using the highest closing price over the last 60 trading days. In Pine Script, this is achieved with the function ta.highest(close, cycle_length), where cycle_length is set to 60 days. • Cycle Low: Calculated using the lowest closing price over the last 60 trading days. In Pine Script, this is achieved with the function ta.lowest(close, cycle_length), where cycle_length is set to 60 days. Interpretation and Application: • Buy Signal: A buy signal is generated when the closing price crosses above the cycle low. This indicates a potential end to the bearish phase and the start of a bullish trend. • Distribution Phase: When the closing price crosses above the cycle high, it suggests the market is in a distribution phase, potentially signaling a bearish trend or a sell-off period. Example: On a trading chart, the cycle high and cycle low are plotted as horizontal lines, with their colors distinguishing them (red for cycle high and orange for cycle low). These lines create a visual range within which the asset's price has moved over the last 60 days, helping traders quickly assess whether the current price is near the upper or lower bound. By identifying and plotting these upper and lower bounds, traders can better understand the current market phase and make more informed trading decisions based on the 60-day cycle strategy. This indicator can be used across various assets.
Pine Script® 인디케이터
PeakInvestmentStrategies의
2
Bitcoin: Pi Cycle Top & Bottom Indicator Z ScoreIndicator Overview The Pi Cycle Top Indicator has historically been effective in picking out the timing of market cycle highs within 3 days. It uses the 111 day moving average (111DMA) and a newly created multiple of the 350 day moving average, the 350DMA x 2. Note: The multiple is of the price values of the 350DMA, not the number of days. For the past three market cycles, when the 111DMA moves up and crosses the 350DMA x 2 we see that it coincides with the price of Bitcoin peaking. It is also interesting to note that 350 / 111 is 3.153, which is very close to Pi = 3.142. In fact, it is the closest we can get to Pi when dividing 350 by another whole number. It once again demonstrates the cyclical nature of Bitcoin price action over long time frames. However, in this instance, it does so with a high degree of accuracy over Bitcoin's adoption phase of growth. Bitcoin Price Prediction Using This Tool The Pi Cycle Top Indicator forecasts the cycle top of Bitcoin’s market cycles. It attempts to predict the point where Bitcoin price will peak before pulling back. It does this on major high time frames and has picked the absolute tops of Bitcoin’s major price moves throughout most of its history. How It Can Be Used Pi Cycle Top is useful to indicate when the market is very overheated. So overheated that the shorter-term moving average, which is the 111-day moving average, has reached an x2 multiple of the 350-day moving average. Historically, it has proved advantageous to sell Bitcoin around this time in Bitcoin's price cycles. It is also worth noting that this indicator has worked during Bitcoin's adoption growth phase, the first 15 years or so of Bitcoin's life. With the launch of Bitcoin ETF's and Bitcoin's increased integration into the global financial system, this indicator may cease to be relevant at some point in this new market structure. Added the Z-Score metric for easy classification of the value of Bitcoin according to this indicator. Created for TRW
Pine Script® 인디케이터
Commandoum의
Moving Average CyclesMoving Average Cycles Indicator Description: The Moving Average Cycles indicator is a versatile tool designed to help traders identify and analyze bullish and bearish cycles based on price movements relative to a moving average. This indicator offers valuable insights into market trends and potential reversal points. Key Features: Customizable Moving Average: Users can adjust the MA period and resolution (Daily, Weekly, Monthly) to suit their trading style. Cycle Identification: The indicator tracks bull and bear cycles, providing visual cues through color-coded histograms. Comprehensive Metrics: A detailed table displays crucial cycle statistics, including: Current cycle information (candles and % distance from MA) Maximum and average cycle lengths (in candles) Maximum and average percentage distances from the MA How to Use: Apply the indicator to your chart and adjust the MA period and resolution as needed. Green histograms represent bullish cycles, while red histograms indicate bearish cycles. Use the metrics table to gain insights into historical cycle behavior and current market positioning. This indicator is designed to complement your existing trading strategy by providing a clear visual representation of market cycles and detailed statistical information. It can be particularly useful for identifying potential trend reversals and gauging the strength of current trends compared to the past. Note: Past performance does not guarantee future results. This indicator is meant for informational purposes only and should not be considered as financial advice. Always combine multiple analysis tools and conduct your own research before making trading decisions. This script is published as open-source under the Mozilla Public License 2.0. Feel free to use and modify it, but please provide appropriate credit if you build upon this work. I hope you find this Moving Average Cycles indicator helpful in your trading journey. If you have any questions or suggestions for improvement, please feel free to leave a comment below.
Pine Script® 인디케이터
ChartingCycles의
Quantum Quarterly CycleOverview Quantum Quarterly Cycle (QQC) is a comprehensive institutional-grade trading tool designed for TradingView (Pine Script v6). It is built around the concept of Time and Price, specifically focusing on the 90-minute Quarterly Cycles (Accumulation, Manipulation, Distribution, and Reversal/Continuation - AMDX framework) and Institutional True Opens. Key Features 1. 90-Minute Quarterly Cycles (AMDX) The indicator automatically divides the trading day into 90-minute quarters, color-coding them based on institutional logic: Q1 (Accumulation): Grey Q2 (Manipulation): Red Q3 (Distribution): Green Q4 (Reversal/Continuation): Blue Each quarter includes its own high/low tracking and optional Micro-Quarter (22.5m) subdivisions for precision entry. 2. Institutional True Opens Tracks and visualizes critical "True Open" levels used by institutional traders to determine daily, weekly, and monthly bias: TDO (True Day Open): 00:00 NY TWO (True Week Open): Monday 18:00 NY (Trading Week Start) TMO (True Month Open): 2nd Monday of the Month (Q2 of the Month) TSO (True Session Opens): AO (Asia Open), LO (London Open), NYO (NY Open), PMO (PM Session Open). 3. Session Liquidity (Pivots) Automatically identifies and labels session-specific highs and lows: AQH/L: Asia Quarter High/Low LQH/L: London Quarter High/Low AMQH/L: AM Session Quarter High/Low PMQH/L: PM Session Quarter High/Low Lines extend dynamically "Until Swept", providing real-time liquidity targets. 4. Automated DWM Levels Dynamic tracking of Daily (DQH/L), Weekly (WQH/L), and Monthly (MQH/L) levels with automatic sweep detection. Lines turn dotted once price breaches the level, keeping your chart clean from stale levels. 5. QQC Status Table A real-time dashboard on the right side of your chart showing the current status (Above/Below) of: All TSO levels (AO, LO, NYO, PMO) TDO, TWO, and TMO Latest Micro-Quarter Opens (TMSO) 6. AMDX Day Coloring Background coloring for the entire trading day based on the daily AMDX cycle (Monday to Friday), helping you stay aligned with the higher-timeframe narrative. How to Use Bias Determination: Use TDO/TWO/TMO to determine the institutional bias. Price above these levels typically suggests bullish sentiment, while price below suggests bearish sentiment. Timing Entries: Look for Manipulation (Q2) sweeps of previous session liquidity (Pivots) during the 90-minute windows. Liquidity Targets: Use the "Until Swept" Pivot lines as your primary take-profit or draw-on-liquidity targets.
Pine Script® 인디케이터
thirudinesh의
NY Time Cycles# New York Time Cycles Indicator ## Overview The Time Cycles indicator is a specialized technical analysis tool designed to divide the trading day into distinct time blocks based on New York trading hours. Developed for TradingView, this indicator helps traders identify and analyze market behavior during specific time periods throughout the trading session. The indicator displays six consecutive time blocks, each representing 90-minute segments of the trading day, while tracking price ranges within each block. ## Core Concept The Time Cycles indicator is built on the premise that different periods during the trading day often exhibit unique market characteristics and behaviors. By segmenting the trading day into standardized 90-minute blocks, traders can: 1. Identify recurring patterns at specific times of day 2. Compare price action across different time blocks 3. Recognize potential support and resistance levels based on the high and low of previous time blocks 4. Develop time-based trading strategies specific to certain market hours ## Time Block Structure The indicator divides the trading day into six sequential 90-minute blocks based on New York time: 1. **Box 1**: 07:00 - 08:30 ET 2. **Box 2**: 08:30 - 10:00 ET 3. **Box 3**: 10:00 - 11:30 ET 4. **Box 4**: 11:30 - 13:00 ET 5. **Box 5**: 13:00 - 14:30 ET 6. **Box 6**: 14:30 - 16:00 ET These time blocks cover the core US trading session from pre-market into regular market hours. ## Visual Representation Each time block is represented on the chart as a visual box that: - Spans the exact time period of the block (horizontally) - Extends from the highest high to the lowest low recorded during that time period (vertically) - Is displayed with customizable colors and transparency levels - Automatically builds in real-time as price action develops Additionally, the indicator draws dashed projection lines that: - Display the high and low of the most recently completed time block - Extend forward in time (for up to 24 hours) - Help traders identify potential support and resistance levels ## Technical Implementation The indicator employs several key technical features: 1. **Time Detection**: Accurately identifies the current New York time to place each box in the correct time period 2. **Dynamic Box Creation**: Initializes and updates boxes in real-time as price action develops 3. **Range Tracking**: Continuously monitors and adjusts the high and low of each active time block 4. **Projection Lines**: Creates horizontal dashed lines projecting the high and low of the most recently completed time block 5. **Daily Reset**: Automatically resets all boxes and lines at the start of each new trading day 6. **Customization**: Allows users to set custom colors and transparency levels for each time block This Time Cycles indicator provides traders with a structured framework for analyzing intraday market movements based on specific time periods. By understanding how the market typically behaves during each 90-minute block, traders can develop more targeted strategies and potentially identify higher-probability trading opportunities throughout the trading day.
Pine Script® 인디케이터
michele.amori의
2
Automatic -Market Cycle & Exposure Tracker**Market Exposure Tracker — Visual Cycle & Risk Management Tool** Market Exposure Tracker is a dynamic position sizing and cycle awareness indicator created for traders and investors who want a clear, actionable visual on market strength and risk without complex settings. It is designed to help you confidently navigate trending phases, transitions, and breakouts—tailored to your style. **How it works:** - **Trading Style Selection:** Choose from Intraday, Swing, Positional, or Investor profiles. The indicator immediately adapts to reflect the most relevant cycle signals, so you get information suited to your unique timeframe and decision-making rhythm. - **Cycle Visualization:** Colored histogram bars represent the intensity and persistence of trend cycles. As bullish or bearish moves extend, the bars dynamically adjust in height and shade, giving you immediate at-a-glance feedback about market momentum. - **Breakout Signals:** The first three bars of a new upward phase are highlighted with white dots, making it easy to spot emerging uptrends and breakout points. This intuitive marking system helps you act decisively when cycles shift. - **Risk Management Table:** Stay informed with a streamlined dashboard showing your trading style, the current market cycle, bar counts, and risk suggestions—all designed for fast reference and practical decision support. **Why use this indicator?** - No need for manual configuration: Everything adapts automatically as you select your trading profile. - Quickly identify the start and persistence of bullish and bearish market phases. - Easily spot fresh momentum and breakout opportunities. - Receive visual cues for when to adjust risk and exposure during prolonged trends. - Maintain clarity with a clean dashboard—only showing what you need. This tool is ideal for anyone seeking to add structure, discipline, and visual clarity to trading decisions, whether managing short-term trades or long-term investments. *(This indicator does not provide buy/sell signals or financial advice. Use for informational and educational purposes.)*
Pine Script® 인디케이터
trade_parthib의
Leonid's Bitcoin Full Cycle Simple SMA IndicatorThis is a straight-forward and customizable indicator to track Bitcoin cycles, specifically used for helping investors understand where to buy and sell. This is done by using a two year SMA period as the base calculation. With that calculation you create lower and upper bounds for bull market peaks and bear market bottoms. The novel idea here is that you can customize the SMA "strength" for both the upper and lower bounds as alpha decays over time and price get's less volatile with adoption increasing. The multiples are customizable for both the upper and lower bounds along with a mid-line that will adjust based on the settings input. Indicators don't always have to rely on crazy math or outlandish ideas to be useful, sometimes even the simplest of inputs can give investors (especially those that are new) a great base case for their strategy. Something being simple does not diminish the idea or strength behind the data. How to use this indicator: This script must be used on INDEX:BTCUSD (Bitcoin All-Time History Index) with the y-axis being set to Logarithmic scale. Details & how to interpret: The price is colored green when Bitcoin enters a "value zone" meaning it is heavily oversold and likely near a bottom for the bear market cycle. The price is colored red when Bitcoin enters an "overbought zone" meaning it is heavily overbought and is likely near a top for the bull market cycle. Along with the upper and lower bound I have plotted a mid-line (in orange) to establish a neutral zone which helps depict what phase of the cycle we're in (under mid-line = bearish/accumulation phase, over mid-line = bullish/distribution phase). The inputs for the upper and lower bound are customizable and will need to be adjusted over time as alpha decay will occur as time goes on. Currently the numbers are as follows: 0.2 for the lower bound 4.675 for the upper bound Both inputs can be modified depending on your risk tolerance. Mathematically it is safe to assume these numbers will decrease as time goes on and volatility during cycle peaks & troughs is reduced. I've also plotted an upper bound "heat zone" which is shaded in green, this area is great for signaling when you should be preparing to begin taking profits. It takes the upper bound and subtracts the lower bound to derive the band. All the colors are customizable and this indicator is best used on a line chart but can be customized to use on a bar chart/candlestick as well. Simple Moving Averages are a very basic indicator but are often extremely powerful because the majority of traders/investors are looking at such levels which creates a psychological/herd effect. Another good example is the law of round numbers. Regardless this script can be adapted with EMAs or additional standard deviations if necessary. If you have any questions or concerns please don't hesitate to message me.
Pine Script® 인디케이터
DurdensBitcoinLedger의
Ehlers Adaptive Cyber Cycle [CC]The Adaptive Cyber Cycle was created by John Ehlers and this is a cycle based indicator which you don't find too many of these days. Each stock goes through cycles which are repeating patterns of price movement and cycle indicators help you find the timing of the cycle to capitalize on the underlying cycle. That is an extremely simple explanation but most importantly don't interpret these indicators as the same as other indicators because it may seem like there are very many false signals but that is because of the different cycles the stock is undergoing. Buy when the line turns green and sell when it turns red. Let me know if there are any other indicators you would like to see me publish.
Pine Script® 인디케이터
cheatcountry의
6
AnarchoEconomy 9-11 Weeks CyclesThis script is, with pleasure, written for the @AnarchoEconomy with his logic and strategy. TO BE USED ONLY ON 1 WEEK TIMEFRAME! 1. Set the date in the settings to choose the all-time high on your pair. 2. The indicator divides price action into cycles. 3. A bullish cycle lasts 9 weeks. 4. A bearish cycle lasts 11 weeks. 5. A table displays the current symbol, trend, and week count. For every next closed bullish cycle, you should know that the next two weeks could turn it into the bearish. If not, the new cycle will restart after 9 weeks of bullish close.
Pine Script® 인디케이터
RockinHood의
5
TopTenAlgo 8. Elliottwave Cycle EN: The Elliottwaves Cycle Oscillator is an indicator that allows the detection of impulsive (impulsive / ascend) or corrective (correction / fall) waves, ie each cycle (cycle) in Elliott Waves . The aim is to measure the speed of a real trend and to predict returns. In the uptrend or impulsive movement, Cycle continues its movement in the upper band after the price is set on a certain band, while in the downtrend or corrective move, the Cycle continues its movement in the lower band. This algorithm is prepared with @Top10Algo ... TR: Elliottwaves Cycle Osilatörü Elliott Dalgalarında ki impulsive (itkisel/yükseliş) yada corrective (düzeltme/düşüş) dalgaların yani her bir siklus’ un (cycle) önceden tespit edilmesini sağlayan bir göstergedir. Amaç gerçek bir trendin hızını ölçmek ve geri dönüşleri önceden tespit etmektir. Yükseliş trendi içinde yada impulsive bir harekette fiyat belli bir banda oturduktan sonra Cycle üst band’ da hareketine devam ederken, düşüş trendi içinde yada corrective bir harekette fiyat belli bir banda oturduktan sonra Cycle alt bandda hareketine devam eder. Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
Pine Script® 인디케이터
nFinans의
2
Better RSI with bullish / bearish market cycle indicator This script improves the default RSI. First. it identifies regions of the RSI which are oversold and overbought by changing the color of RSI from white to red. Second, it adds additional reference lines at 20,40,50,60, and 80 to better gauge the RSI value. Finally, the coolest feature, the middle 50 line is used to indicate which cycle the price is currently at. A green color at the 50 line indicates a bullish cycle, a red color indicators a bearish cycle, and a white color indicates a neutral cycle. The cycles are determined using the RSI as follows: if RSI is overbought, cycle switches to bullish until RSI falls below 40, at which point it becomes neutral if RSI is oversold, cycle switches bearish until RSI rises above 60, at which point it becomes neutral a neutral cycle is exited at either overbought or oversold conditions Very useful, please give it a try and let me know what you think
Pine Script® 인디케이터
TradeCalmly의
20
Bitcoin Cycle Log-Curve (JDK-Analysis)Important: The standard parameters provided in the script are specifically tuned for the TradingView Bitcoin Index chart on a monthly timeframe on logarithmic scale, and will yield the most accurate visual alignment when applied to that dataset. (more below) This very simple script visualizes Bitcoin’s long-term price behavior using a logarithmic regression model designed to reflect the cyclical nature of Bitcoin’s historical market trends. Unlike typical technical indicators that react to recent price movements, this tool is built on the assumption that Bitcoin follows an exponential growth path over time, shaped by its fixed supply structure and four-year halving cycles. The calculation behind the curved bands: An upper boundary, a lower boundary, and a central midline, are calculated based on logarithmic functions applied to the bar index (which serves as a proxy for time). The upper and lower bounds are defined using exponential formulas of the type y = exp(constant + coefficient * log(bar_index)), allowing the curves to evolve dynamically over time. These bands serve as a macro-level guide for identifying periods of historical overvaluation (upper red curve) and undervaluation (lower green curve), with a central black curve representing the geometric average of the two. How to customize the parameters: The lower1_const and upper1_const values vertically shift the respective lower and upper curves—more negative values push the curve downward, while higher values lift it. The lower1_coef and upper1_coef control the steepness of the curves over time, with higher values resulting in faster growth relative to time. The shift_factor allows for uniform vertical adjustment of all curves simultaneously. Additionally, the channel_width setting determines how far the mirrored bands extend from the original curves, creating a visual “channel” that can highlight more conservative or aggressive valuation zones depending on preference. How to use this indicator: This indicator is not intended for short-term trading or intraday signals. Rather, it serves as a contextual framework for long-term investors to identify high-risk zones near the upper curve and potential long-term value opportunities near the lower curve. These areas historically align with cycle tops and bottoms, and the model helps to place current price action within that broader cyclical narrative. While the concept draws inspiration from Bitcoin’s halving-driven market cycles and exponential adoption curve, the implementation is original in its use of time-based logarithmic regression to define dynamic trend boundaries. It is best used as a strategic tool for cycle analysis, macro positioning, and trend anchoring—rather than as a short-term signal provider.
Pine Script® 인디케이터
JDK-Analysis의
1
Ehlers Cycle Period [CC]The Cycle Period was created by John Ehlers and this is yet another version that shows how to calculate the current cycle period which is the approximate amount of days between a current peak or valley and the next peak or valley. I would not recommend this for trading since it is more for informational use only but I would try experimenting with this output to be used with another indicator as an input length. I have included strong buy and sell signals in addition to normal ones so strong signals are darker in color and normal signals are lighter in color. Let me know if there are any other scripts you would like to see me publish!
Pine Script® 인디케이터
cheatcountry의
Schaff Trend Cycle [ChuckBanger]The Schaff Trend Cycle is a method, developed by Doug Schaff and based on the concept that trends also have repeating high and low patterns, or cycles. This is a modified MACD line, run through a modified stochastic algorithm and smoothed with Wilders’ smoothing in order to estimate the final Schaff Trend Cycle (STC) indicator. Its purpose is to identify the direction, in which a trend cycle is moving and possible peaks and bottoms within this cycle. If this is interesting you should also take a look at MACD Leader: For more info about Schaff Trend Cycle Indicator: www.investopedia.com
Pine Script® 인디케이터
ChuckBanger의
4
Crimson/Grover Sine CycleThere is plenty of indicators trying to show cycles in price, the majority of them create a stationary version of the price and then smooth it, the Crimson/Grover cycle use as source a pure sine wave of period crimson and then use a best fit line with y = price and x = sine wave.Some final transformations are mades for highlights the cycle of the price. The length parameter control the regression period and the crimson parameter the period of the sine cycle.If the length is higher than the crimson period then the indicator is more smoother but give more liberty to the sine wave. The period of sine wave is equal to period/(2*3.14) . A sine wave of period 100 For any questions regarding the indicator please contact me :)
Pine Script® 인디케이터
alexgrover의
10
AnNam RSI Cycle [PlungerMen] This script improves the default RSI 14 1: it identifies regions of the RSI which are oversold and overbought by changing the color of RSI from white to red. 2: it adds additional reference lines at 20,25.. 75,80 to better gauge the RSI value Finally, the coolest feature, the middle 50 line is used to indicate which cycle the price is currently at A green color at the 50 line indicates a bullish cycle, a red color indicators a bearish cycle, and a white color indicates a neutral cycle. The cycles are determined using the RSI as follows: if RSI is overbought, cycle switches to bullish until RSI falls below 40 , at which point it becomes neutral if RSI is oversold, cycle switches bearish until RSI rises above 60, at which point it becomes neutral a neutral cycle is exited at either overbought or oversold conditions Thank for TradeCamily!
Pine Script® 인디케이터
luongson107의
1
Ehlers Cycle BandPass Filter [CC]The Cycle BandPass Filter was created by John Ehlers (Cycle Modes and Trend Modes) and this is an alternate to the default BandPass Filter by changing some settings. This will be another series I will be introducing showing some indicators created by Ehlers and that didn't get much attention. This identifies the underlying cycle in the price data and these indicators aren't very common so I want to introduce more of these to tv. Buying and selling with these indicators can be a bit tricky but overall what Ehlers recommends is to buy at the lowest point and sell at the highest point to capture the underlying cycle. I have included strong buy and sell signals as darker colors and normal signals as lighter colors. Buy when the line turns green and sell when it turns red. Let me know if there are any other scripts you would like to see me publish!
Pine Script® 인디케이터
cheatcountry의
2