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Pesquisar nos scripts por "Cycle"

Sidereal Moon Cycle - NQ Special Here is the simple breakdown of the three things you’ll see on your chart: 1. The Quarterly Backgrounds (The Big Picture) The chart color tells you exactly where you are in the 2026 trading year. Institutions often change their "playbook" when these seasons shift. Blue (Q1): January – March 19 Green (Q2): March 20 – June 20 Orange (Q3): June 21 – September 21 Red (Q4): September 22 – December 31 2. Gray Dashed Lines (Sidereal Cycles) These are your Major Turning Points. They happen every 27.3 days (the time it takes the moon to return to the same spot among the stars). What they mean: These lines represent "Energy Shifts." If NQ has been trending hard in one direction, expect it to stall, reverse, or explode when it hits a Gray Line. How to use them: Treat these as "Time Support and Resistance." If you are in a profit, these lines are great places to take some off the table. 3. Yellow Dotted Lines (Luna Highs) This is the "NQ PM Distortion" tracker. It’s based on the fact that the moon’s influence on the day shifts by about 50.5 minutes every single day. The Visual: Vertical yellow dotted lines labeled "LUNA HIGH." The Rule: These lines often pinpoint the exact 1-minute or 5-minute candle where a local high or low is formed during the New York afternoon. How to use them: When price hits a yellow line, look for your CSID (Aqua/White) momentum signals. If they line up, you have "Time & Momentum" on your side. 4. Step-By-Step: How to Trade This Phase Action What to look for Preparation Identify the Quarter Are we in the Blue (Q1) or Green (Q2) season? Anticipation Watch the Lines Is price approaching a Gray Line (Major) or a Yellow Line (Minor)? Confirmation Wait for Price When price hits the line, does a CSID signal appear? Execution The Entry Enter on the Retest of the level at that specific time. The "Golden Rule" for this Script These lines are not "Buy/Sell" buttons—they are Appointments. Think of it like this: The script tells you when the bus is arriving at the station. You still need to make sure the bus (Price) is actually stopping before you jump on.
Indicador Pine Script®
por TIMEANDPRICEPR
Optimized Future Time Cycles V2Time Cycle-Based Indicator Overview This script utilizes Time Cycles to visually display the periodic fluctuations of the past and future, helping to predict key market turning points and trend shifts. The indicator is fully customizable and marks periodic vertical lines and labels on the chart based on a specified reference date. 1. Key Features Time Cycle Settings Displays various user-defined time cycles (e.g., 9 days, 17 days, 26 days) visually on the chart. Each cycle is distinguished by unique colors and labels for clear identification. Allows users to set a reference date, from which past and future cycles are calculated. Past and Future Cycle Visualization Future Cycles: Predicts potential points of market fluctuations or trend changes in the future. Vertical lines represent future turning points based on the defined time cycles. Past Cycles: Displays how cyclical patterns manifested in historical market data. Helps identify recurring patterns and similar historical market conditions. Customizable Visuals Adjust line styles (solid, dashed, etc.) and label spacing for a cleaner chart, even with multiple cycles displayed. Separately toggle the visibility of past and future cycles for a more tailored analysis experience. 2. How to Use and Interpret the Indicator Setting the Reference Date The reference date is crucial for this indicator and works best when set to significant market events or turning points. Both past and future cycles are calculated based on the reference date, and overlapping cycles may indicate periods of high volatility or strong trend shifts. Cycle Analysis Interpretation by Cycle Duration: Short-term Cycles (9, 17 days): Useful for predicting quick market fluctuations. Mid- to Long-term Cycles (26, 52, 200 days): Ideal for identifying major trend changes. Overlapping Cycles: When multiple cycles converge, significant turning points or strong market movements are likely. Importance of Past Cycles Past cycles are invaluable for identifying repetitive patterns in the market. For example, analyzing strong turning points from past cycles can help anticipate similar scenarios in the future. 3. Tips for Using the Indicator Optimize Line Styles: When displaying both past and future cycles, charts may become cluttered. Adjusting line styles or colors can help maintain visual clarity. Short-term vs. Long-term Cycles: Short-term Cycles: Best suited for strategies like scalping or day trading. Long-term Cycles: Useful for capturing major trend shifts or identifying macroeconomic changes. Recommended Combination with Other Indicators: Combine the Time Cycle indicator with moving averages, wave indicators, RSI, or Bollinger Bands for better results. The time cycle identifies the timing of turning points, while tools like moving averages or RSI provide insights into trend direction during these critical moments. 4. Conclusion This Time Cycle indicator visualizes past and future periodic fluctuations, enabling effective predictions of market trends and turning points. The reference date and overlapping cycles are essential for pinpointing critical turning points. The newly added past cycle visualization feature enhances the ability to recognize recurring patterns and leverage historical data for more accurate predictions. 시간 주기(Time Cycle) 기반 지표 소개 이 스크립트는 **시간 주기(Time Cycle)**를 활용해 과거와 미래의 주기적 변동을 시각적으로 보여주어, 시장의 추세 변화 시점과 변곡점을 예측하는 데 도움을 줍니다. 지표는 사용자 정의가 가능하며, 설정된 기준 날짜를 기반으로 주기적인 수직선과 레이블을 차트에 표시합니다. 1. 주요 기능 시간 주기 설정 사용자가 설정한 다양한 시간 주기(예: 9일, 17일, 26일 등)를 시각적으로 표시. 각 주기는 고유한 색상과 레이블로 구분되어 명확하게 차트에 나타납니다. **기준 날짜(reference date)**를 설정하여, 해당 날짜를 기준으로 과거와 미래의 주기를 계산합니다. 미래와 과거 주기 표시 미래 주기: 미래의 시장 변동 시점이나 추세 변화 가능성이 높은 지점을 예측할 수 있습니다. 설정된 시간 주기에 따라 미래 변곡점을 차트에 수직선으로 나타냅니다. 과거 주기: 과거 시장에서 주기적 변동이 어떻게 나타났는지 확인 가능합니다. 이를 통해 반복되는 패턴이나 과거와 유사한 시장 상황을 파악할 수 있습니다. 시각적 사용자 설정 수직선 스타일(실선, 점선 등)과 레이블 간격을 조정하여, 복잡한 차트에서도 깔끔하게 정보를 확인할 수 있습니다. 과거와 미래의 주기 표시를 개별적으로 조정 가능하여 사용자 맞춤형 분석이 가능합니다. 2. 지표 사용 및 해석 방법 기준 날짜 설정 **기준 날짜(reference date)**는 시장에서 중요한 변동이 있었던 날을 기준으로 설정하는 것이 가장 효과적입니다. 기준 날짜를 기반으로 과거와 미래 주기가 계산되며, 주기가 겹치는 시점에서 강한 변동성이 나타날 가능성이 높습니다. 주기 분석 주기별 해석: 단기 주기 (9일, 17일): 빠른 변동성을 예측. 중·장기 주기 (26일, 52일, 200일): 큰 추세 변화를 예측. 주기가 겹치는 시점은 중요한 변곡점이 될 가능성이 크며, 추세 전환의 신호로 볼 수 있습니다. 과거 주기의 중요성 과거 주기는 시장의 반복 패턴을 찾는 데 유용합니다. 예를 들어, 과거 주기에서 강한 변곡점이 나타났던 시점을 분석하면, 미래에도 유사한 상황이 발생할 가능성을 예측할 수 있습니다. 3. 지표 활용 팁 수직선 스타일 최적화: 과거와 미래 주기를 모두 표시하면 차트가 복잡해질 수 있으므로, 선 스타일이나 색상을 조정하여 시각적으로 덜 혼란스럽게 설정하세요. 단기 vs. 장기 주기: 단기 주기는 스캘핑과 같은 빠른 매매 전략에 유용하며, 장기 주기는 대세 추세 변화를 포착하는 데 유리합니다. 결합 사용 추천: 시간 주기(Time Cycle) 지표는 이평선 파동 지표 또는 RSI, 볼린저 밴드와 함께 사용하면 더욱 효과적입니다. 시간 주기는 변곡점의 시점을 알려주고, 이평선 파동이나 RSI는 그 시점에서의 추세 방향성을 보완해 줍니다. 4. 결론 이 시간 주기(Time Cycle) 지표는 과거와 미래의 주기적 변동을 시각화하여, 시장의 추세 변화와 변곡점을 효과적으로 예측할 수 있습니다. 특히, 기준 날짜 설정과 주기적 겹침은 중요한 변곡점을 파악하는 핵심입니다. 새롭게 추가된 과거 주기 표시 기능은 반복 패턴을 확인하고 과거 데이터를 바탕으로 더 정교한 예측을 가능하게 합니다.
Indicador Pine Script®
por KOGOGI
Institutional Cycle Intelligence SystemInstitutional Cycle Intelligence System: Architecture, Algorithms, and Application: Abstract The Institutional Cycle Intelligence System (ICIS) version 2.0 is a sophisticated Pine Script indicator designed to bridge the gap between retail technical analysis and quantitative hedge fund methodologies. Unlike standard oscillators (RSI, MACD) that rely on fixed lookback periods, ICIS utilizes Digital Signal Processing (DSP) and spectral analysis to dynamically identify, extract, and synthesize market cycles. This document details the system’s specialty, the mathematical underpinnings of its seven algorithms, and a strategic guide for its application in trading. Part 1: The Specialty & Philosophy 1.1 The Problem with Static Indicators Traditional technical indicators suffer from a fatal flaw: Stationarity Assumption. A 14-period RSI assumes the market’s "rhythm" is consistently relevant to 14 bars. However, financial markets are non-stationary; cycle lengths expand and contract based on volatility, liquidity, and macroeconomic events. A market might be oscillating on a 10-day cycle one month and shift to a 24-day cycle the next. Static indicators fail to adapt to these phase shifts, leading to false signals. 1.2 The ICIS Solution: Adaptive Spectral Analysis The ICIS allows traders to visualize the market not as a linear trend, but as a composite of waves (frequencies). Its specialty lies in its "Ensemble Approach." Rather than relying on a single mathematical model, ICIS runs seven distinct advanced cycle detection algorithms simultaneously. 1.3 The "Intelligent" Consensus Engine The core innovation of this script is the Intelligent Mode. It does not simply average the outputs of the seven models. Instead, it employs an adaptive weighting mechanism: Normalization: It converts the raw output of each model into a standardized Z-score (standard deviation units) to ensure apples-to-apples comparison. Scoring: It calculates a "Consistency Score" for each model. If a model is producing erratic, noisy signals, its weight is reduced. If a model detects a high-amplitude, clean sine wave, its weight is increased. Synthesis: It fuses these weighted inputs into a single "Composite Signal" that represents the highest probability cycle currently driving price action. Part 2: Algorithmic Deep Dive The ICIS incorporates seven distinct methodologies drawn from physics, engineering, and econometrics. Understanding these algorithms is key to trusting the signals. 2.1 Ehlers Bandpass + Hilbert Transform Origin: Digital Signal Processing (DSP). The Logic: This model acts like a radio tuner. It filters out low-frequency trends and high-frequency noise, isolating a specific bandwidth of market data. The Mechanism: Bandpass Filter: Allows only frequencies within the user-defined cycle ranges (Short, Medium, Long) to pass through. Hilbert Transform: A mathematical operation that shifts the signal by 90 degrees to create an analytic signal. This allows for the precise calculation of the instantaneous phase (where we are in the wave) and amplitude (how strong the wave is). Strength: Excellent for identifying clean, sine-wave-like market behavior in ranging markets. 2.2 MESA Adaptive Cycle (Maximum Entropy Spectral Analysis) Origin: Geophysical oil exploration. The Logic: MESA provides high-resolution frequency estimation even when the data sample is short (a common limitation in trading). The Mechanism: It uses a "Homodyne Discriminator." It measures the phase change of price relative to itself over time. By calculating the rate of phase change, it derives the dominant cycle period. Strength: Highly responsive to rapid changes in market cycle length. It adapts faster than Fourier-based methods. 2.3 Autocorrelation Periodogram Origin: Statistical Time Series Analysis. The Logic: Markets often rhyme. Autocorrelation measures the similarity of the price series to a lagged version of itself. The Mechanism: The script runs a loop testing lags from 5 to 150 bars. If price today correlates highly with price 20 days ago, it identifies a 20-day cycle. Strength: The most robust method for confirming that a cycle actually exists physically, rather than being a mathematical artifact. 2.4 Empirical Mode Decomposition (EMD) Origin: The Hilbert-Huang Transform (NASA). The Logic: Markets are non-linear and non-stationary. EMD does not force data into sine waves (like Fourier). instead, it treats price like a rope made of different strands. The Mechanism: Sifting: It identifies local highs and lows to create upper and lower envelopes. Mean Extraction: It subtracts the mean of these envelopes from the data to extract an "Intrinsic Mode Function" (IMF). Residuals: It repeats this process to separate high-frequency noise (Short Cycle) from medium variations and long-term trends. Strength: The "Holy Grail" of adaptive analysis. It handles trend reversals and sudden volatility spikes better than any linear filter. 2.5 Goertzel Power Spectrum Origin: Telecommunications (used in decoding touch-tone phone sounds). The Logic: A highly optimized version of the Discrete Fourier Transform (DFT). It scans specific frequencies to see which one has the most "Power" (Energy). The Mechanism: The script calculates the Goertzel energy for various periods. The period with the highest energy is deemed the "Dominant Cycle" and is used to drive the oscillator. Strength: Extremely precise at identifying the exact length of the current cycle (e.g., distinguishing between a 20-day and a 22-day cycle). 2.6 Singular Spectrum Analysis (SSA) Origin: Meteorology and climatology. The Logic: SSA decomposes a time series into principal components: Trend, Oscillatory (Cycle), and Noise. The Mechanism: While a full SSA requires heavy matrix algebra (difficult in Pine Script), this implementation simulates SSA using weighted lag windows to separate eigen-components. It reconstructs the time series using only the oscillatory components. Strength: Unrivaled noise reduction. It produces the smoothest "zero-lag" oscillators in the system. 2.7 Wavelet Multi-Resolution Analysis Origin: Quantum Physics and Image Compression. The Logic: Standard Fourier analysis loses time information (it tells you a frequency exists, but not when). Wavelets analyze both Frequency and Time simultaneously. The Mechanism: The script passes price through a cascade of high-pass and low-pass filters (Haar-like decomposition). Detail Coefficients: Capture high-frequency noise and short cycles. Approximation Coefficients: Capture the underlying trend and long cycles. Strength: Excellent for identifying "regime changes" where the market shifts from trending to ranging. Part 3: Using the Code & Interface 3.1 Input Parameters Model Selection: Defaults to "Intelligent" (recommended). You can switch to individual models (e.g., "EMD") to isolate their specific view. Cycle Period Ranges: Short (5-20): Captures swing trading noise and rapid reversals. Medium (20-50): The primary swing cycle (often aligns with monthly flows). Long (50-150): The structural trend cycle. Advanced Settings: Bandwidth (0.3): Controls how "wide" the filter is. Lower values = cleaner but lagging; Higher values = noisier but faster. Signal Threshold (0.5): The level the oscillator must breach to be considered a "Strong" signal. 3.2 Visual Components The Oscillators (Main Chart): Red Line (Short): The fast heartbeat of the market. Teal Line (Medium): The tradeable swing. Blue Line (Long): The tidal direction. Purple Line (Composite): The weighted average of all cycles. This is your primary trigger. The Info Table: Displays the current exact period (in bars), phase (in degrees), and trend direction for all three cycle tiers. It also shows the "Confluence Score" (how many cycles agree). Background Color: Changes dynamically based on cycle alignment. Green: Bullish Confluence (2 or 3 cycles pointing up). Red: Bearish Confluence (2 or 3 cycles pointing down). Part 4: Trading Strategy & Application The ICIS is designed to identify Turning Points and Trend Continuations. 4.1 The "Phasing" Concept Understanding Phase is crucial. The script calculates phase in degrees (0° to 360°): 0° - 90° (Accumulation): The cycle has bottomed and is accelerating upward. Best time to enter. 90° - 180° (Markup): The cycle is mature but still rising. Hold positions. 180° - 270° (Distribution): The cycle has topped and is accelerating downward. Best time to short/sell. 270° - 360° (Decline): The cycle is mature in its downtrend. Hold shorts or cash. 4.2 Trade Setups Setup A: The "Triple Confluence" Entry (Trend Following) This is the safest signal, indicating all distinct time horizons are aligned. Condition: The Short, Medium, and Long cycle lines are ALL sloping upwards. Visual: Background turns bright Green. Trigger: The Composite (Purple) line crosses above the Signal Threshold (+0.5). Exit: When the Short Cycle (Red) crosses below the Medium Cycle (Teal). Setup B: The "Cycle Bottom" (Reversal) This catches the absolute low of a move. Condition: The Long Cycle (Blue) is trending UP (Trend support). Trigger: The Composite line is deeply negative (below -0.8) and crosses back ABOVE zero. Validation: Wait for the "Cycle Bottom" circle marker to appear on the chart. Stop Loss: Below the recent swing low. Setup C: The "Divergence" Play (Advanced) Condition: Price makes a Lower Low. Indicator: The Composite Oscillator makes a Higher Low. Logic: Momentum on the cyclical level is shifting bullish despite price action. Execution: Enter on the first candle where the Composite line turns green (slopes up). 4.3 Interpreting the Information Table The table is your dashboard. Period: If the "Medium Period" is drastically changing (e.g., jumping from 20 to 50), the market is in a chaotic transition. Reduce position size. Strength: Shows the cycle amplitude. If Strength < 20%, the market is chopping/sideways. Do not trade trend strategies. If Strength > 60%, the cycle is dominant; use aggressive targets. Part 5: Optimization & Best Practices 5.1 Timeframes While the math works on any timeframe, ICIS is computationally heavy and optimized for: 4H / 1D: Best for Swing Trading. The cycle periods (20-40 bars) align well with monthly/quarterly flows. 15m / 1H: Good for Intraday, but requires adjusting the "Short Cycle" inputs to be more sensitive (e.g., Min 5, Max 15). 5.2 Handling "Repainting" vs. "Recalculation" This script uses max_bars_back and causal filters where possible. However, EMD and SSA are inherently adaptive. Fact: The Phase calculation uses the Hilbert Transform, which requires a few bars of future data to be perfectly precise (theoretical limit). Mitigation: The script uses a causal approximation of the Hilbert Transform (nz(src ) etc.) to minimize repainting. Rule: Do not trade on the current forming bar. Wait for the bar to close to confirm the cycle direction. 5.3 Combining with Price Action ICIS tells you the Time (When to trade), but Price Action tells you the Level (Where to trade). Use ICIS to time the entry. Use Support/Resistance or Supply/Demand zones to place the order. Example: Price hits a Demand Zone + ICIS signals "Cycle Bottom" + Confluence turns Green = High Probability Trade. Conclusion The Institutional Cycle Intelligence System version 2.0 represents a paradigm shift from lagging indicators to predictive cycle modeling. By intelligently fusing seven different mathematical models, it cancels out the weaknesses of individual algorithms (like EMD's end-effect issues or Fourier's spectral leakage). Summary of Workflow: Check the Table: Is Cycle Strength high? Are cycles aligned? Check the Background: Is it Green (Bullish) or Red (Bearish)? Wait for the Composite Trigger: Cross of Zero or Cross of Threshold. Execute: With defined risk based on market structure. This tool provides the retail trader with the "X-Ray vision" into market structure typically reserved for quantitative trading desks.
Indicador Pine Script®
por jaydesaigu
Optimized Future Time CyclesThis script is based on time cycles and visually displays the cyclical fluctuations of the past and future, helping to predict trend reversal points and market turning points. Below, I will explain the main functions of this indicator and how to interpret it. 1. Main Features of the Indicator Time Cycle Settings: Users can set different time cycles (e.g., 9 days, 17 days, 26 days), and each cycle is visually distinguished by colors and labels. A specific date is set as the reference date, from which the cycles are calculated. The cycles appear as vertical lines on the chart, both in the past and future, allowing you to spot trend reversals. Future and Past Cycles: Future cycles help predict when trend changes will occur in the future. Based on the set cycles, you can anticipate turning points in market trends. Past cycles allow you to examine historical cycles, providing insights into past market movements, which can serve as a basis for predicting future patterns. This helps identify similar patterns from the past that might repeat. 2. How to Use and Interpret the Indicator Reference Date Setting: The reference date is a crucial factor in this indicator. For example, if you set the reference date as an important market turning point in the past, you can obtain a more accurate analysis. If the reference date is too recent, multiple cycles may overlap on the chart, but this is a normal phenomenon. In this case, it is recommended to set the reference date further back in time for a clearer chart. Cycle Analysis: Each cycle represents cyclical market volatility. Shorter cycles like 9-day, 17-day, and 26-day cycles represent different timeframes' volatility. When multiple cycles overlap, this could indicate a significant trend reversal. Pay attention to points where cycles overlap, as these could signal stronger trend changes. Importance of Future Cycles: It’s especially important to pay attention to future cycles as they provide insights into potential trend reversals. Future cycles can indicate likely points of trend reversal, helping you prepare in advance. 3. Additional Considerations Vertical Line and Label Spacing: Since multiple cycles are displayed on the chart simultaneously, you can customize the spacing of the vertical lines and labels. If the chart becomes too crowded, you can adjust the line style (solid, dotted, etc.) to reduce visual clutter. Short-Term vs. Long-Term Cycles: Short-term cycles (e.g., 9-day cycles) are useful for predicting short-term volatility, while long-term cycles (e.g., 200-day cycles) help predict larger trend changes. You can combine short and long cycles for deeper analysis. 4. Recommended Combination: With Moving Average Wave Indicator This time cycle indicator works well in combination with the Moving Average Wave Indicator. While the time cycle indicator identifies timing for trend changes, the Moving Average Wave Indicator visually shows the direction of the trend. When used together, they offer precise entry and exit points for trades. Time Cycles indicate when a trend change might occur, and Moving Average Waves show the direction of that trend at those specific points. Combining both helps you identify strong buy/sell signals. 5. Conclusion This indicator uses time cycles to help you predict past and future market volatility. The reference date plays a critical role, and when multiple cycles overlap, you can expect strong trend reversals. Focusing on future cycles and combining this with the Moving Average Wave Indicator allows you to grasp both the timing and direction of trend changes, making this a powerful tool for market analysis. "It is recommended to combine it with the Ichimoku Wave Oscillator with Custom MA indicator." 이 스크립트는 **시간 주기(Time Cycle)**에 기반한 지표로, 과거 및 미래의 주기적 변동을 시각적으로 보여주어 추세 변화의 시점과 시장 변곡점을 예측하는 데 도움을 줍니다. 이 지표의 주요 기능과 해석 방법을 중심으로 자세히 설명드리겠습니다. 1. 지표의 주요 기능 시간 주기 설정: 각기 다른 시간 주기(9일, 17일, 26일 등)를 사용자가 설정할 수 있으며, 각 주기는 색상과 레이블로 시각적으로 구분됩니다. 특정 날짜를 **기준 날짜(reference date)**로 설정하여 그 날짜부터 주기들이 계산됩니다. 기준 날짜를 기반으로 과거와 미래의 주기가 차트에 수직선과 함께 나타나며, 이를 통해 추세의 변곡점을 확인할 수 있습니다. 미래 주기 및 과거 주기: 미래 주기는 미래의 추세 변화 시점을 예측하는 데 도움이 됩니다. 각 주기가 설정된 기준에 따라 추세 변곡점이 언제 도래할지 미리 알 수 있습니다. 과거 주기는 과거 시장에서의 주기적 변동을 확인하여, 앞으로의 시장 움직임을 예측하는 데 참고할 수 있습니다. 이를 통해 과거와 유사한 패턴을 포착할 수 있습니다. 2. 지표 사용 및 해석 방법 기준 날짜 설정: 이 지표의 기준 날짜는 매우 중요한 요소입니다. 예를 들어, 시장에서 중요한 변동이 있었던 날짜를 기준으로 설정하면 더 정확한 분석이 가능합니다. 기준 날짜가 너무 최근일 경우, 여러 주기들이 차트 상에서 겹칠 수 있는데 이는 정상적인 현상입니다. 이 경우, 기준 날짜를 더 과거로 설정하면 차트가 좀 더 깔끔하게 보일 수 있습니다. 주기 분석: 각 주기는 시장 변동성의 주기적 패턴을 나타냅니다. 9일, 17일, 26일 등의 주기는 각기 다른 시간대의 변동성을 나타내며, 주기가 겹칠 때 추세 전환 시점이 강하게 나타날 수 있습니다. 주기가 겹치는 시점에서 변동이 강해질 가능성이 있으며, 이때는 추세 변화에 주목할 필요가 있습니다. 미래 주기의 중요성: 특히 미래 주기를 확인하는 것이 중요한데, 미래에 어떤 시점에서 변곡점이 나타날지 예측하는 데 사용할 수 있기 때문입니다. 미래 주기는 추세 전환 가능성이 높은 시점을 알려줄 수 있으므로, 미리 준비하고 대응할 수 있게 도와줍니다. 3. 추가적으로 고려할 사항 수직선과 레이블 간격: 여러 주기들이 한꺼번에 차트에 표시되기 때문에, 수직선이나 레이블 간의 간격을 커스터마이징할 수 있습니다. 특히, 차트가 혼잡할 경우 선 스타일(실선, 점선 등)을 조정하여 시각적으로 덜 복잡하게 설정할 수 있습니다. 단기 vs. 장기 주기: **단기 주기(예: 9일)**는 빠른 변동성을 예측하는 데 유리하며, **장기 주기(예: 200일)**는 더 큰 추세 변화를 예측하는 데 도움이 됩니다. 두 주기 간의 상호작용을 고려하여 분석의 깊이를 더할 수 있습니다. 4. 결합 사용 추천: 이평선 파동 지표와 함께 이 시간 주기 지표는 이평선 파동 지표와 결합하여 사용할 때 추세의 방향성과 변곡점을 동시에 분석하는 데 매우 유용합니다. 시간 주기는 추세 변곡점의 시점을 알려주고, 이평선 파동은 그 시점에서의 추세 방향성을 시각적으로 나타내므로, 두 지표를 함께 사용하면 정확한 매매 타이밍을 잡는 데 큰 도움이 됩니다. 5. 결론 이 지표는 **시간 주기(Time Cycle)**를 활용하여 과거 및 미래의 시장 변동성을 예측할 수 있도록 도와줍니다. 특히, 기준 날짜 설정이 매우 중요하며, 여러 주기가 겹치는 시점에서는 강한 추세 전환을 예상할 수 있습니다. 미래 주기를 중점적으로 분석하고, 이평선 파동 지표와 결합하여 사용하면 추세 변화의 방향성과 시점을 동시에 잡아낼 수 있어 매우 유용합니다. "Ichimoku Wave Oscillator with Custom MA 지표와 결합해서 사용하면 좋습니다."
Indicador Pine Script®
por KOGOGI
4
Enhanced Cycle IndicatorEnhanced Cycle Indicator Guide DISCLAIMER "This PineScript indicator evolved from a foundational algorithm designed to visualize cycle-based center average differentials. The original concept has been significantly enhanced and optimized through collaborative refinement with AI, resulting in improved functionality, performance, and visualization capabilities while maintaining the core mathematical principles of the original design" Overview The Enhanced Cycle Indicator is designed to identify market cycles with minimal lag while ensuring the cycle lows and highs correspond closely with actual price bottoms and tops. This indicator transforms price data into observable cycles that help you identify when a market is likely to change direction. Core Principles Cycle Detection: Identifies natural market rhythms using multiple timeframes Dynamic Adaptation: Adjusts to changing market conditions for consistent performance Precise Signals: Provides clear entry and exit points aligned with actual market turns Reduced Lag: Uses advanced calculations to minimize delay in cycle identification How To Use 1. Main Cycle Interpretation Green Histogram Bars: Bullish cycle phase (upward momentum) Red Histogram Bars: Bearish cycle phase (downward momentum) Cycle Extremes: When the histogram reaches extreme values (+80/-80), the market is likely approaching a turning point Zero Line: Crossovers often indicate a shift in the underlying market direction 2. Trading Signals Green Triangle Up (bottom of chart): Strong bullish signal - ideal for entries or covering shorts Red Triangle Down (top of chart): Strong bearish signal - ideal for exits or short entries Diamond Shapes: Indicate divergence between price and cycle - early warning of potential reversals Small Circles: Minor cycle turning points - useful for fine-tuning entries/exits 3. Optimal Signal Conditions Bullish Signals Work Best When: The cycle is deeply oversold (below -60) RSI is below 40 or turning up Price is near a significant low Multiple confirmation bars have occurred Bearish Signals Work Best When: The cycle is heavily overbought (above +60) RSI is above 60 or turning down Price is near a significant high Multiple confirmation bars have occurred 4. Parameter Adjustments For Shorter Timeframes: Reduce cycle periods and smoothing factor for faster response For Daily/Weekly Charts: Increase cycle periods and smoothing for smoother signals For Volatile Markets: Reduce cycle responsiveness to filter noise For Trending Markets: Increase signal confirmation requirement to avoid false signals Recommended Settings Default (All-Purpose) Main Cycle: 50 Half Cycle: 25 Quarter Cycle: 12 Smoothing Factor: 0.5 RSI Filter: Enabled Signal Confirmation: 2 bars Faster Response (Day Trading) Main Cycle: 30 Half Cycle: 15 Quarter Cycle: 8 Smoothing Factor: 0.3 Cycle Responsiveness: 1.2 Signal Confirmation: 1 bar Smoother Signals (Swing Trading) Main Cycle: 80 Half Cycle: 40 Quarter Cycle: 20 Smoothing Factor: 0.7 Cycle Responsiveness: 0.8 Signal Confirmation: 3 bars Advanced Features Adaptive Period When enabled, the indicator automatically adjusts cycle periods based on recent price volatility. This is particularly useful in markets that alternate between trending and ranging behaviors. Momentum Filter Enhances cycle signals by incorporating price momentum, making signals more responsive during strong trends and less prone to whipsaws during consolidations. RSI Filter Adds an additional confirmation layer using RSI, helping to filter out lower-quality signals and improve overall accuracy. Divergence Detection Identifies situations where price makes a new high/low but the cycle doesn't confirm, often preceding significant market reversals. Best Practices Use the indicator in conjunction with support/resistance levels Look for signal clusters across multiple timeframes Reduce position size when signals appear far from cycle extremes Pay special attention to signals that coincide with divergences Customize cycle periods to match the natural rhythm of your traded instrument Troubleshooting Too Many Signals: Increase signal confirmation bars or reduce cycle responsiveness Missing Major Turns: Decrease smoothing factor or increase cycle responsiveness Signals Too Late: Decrease cycle periods and smoothing factor False Signals: Enable RSI filter and increase signal confirmation requirement
Indicador Pine Script®
por Actragea
BTC - Cycle Integrity Index (CII) BTC - Cycle Integrity Index (CII) | RM Are we following a calendar or a capital flow? Is the Halving still the heartbeat of Bitcoin, or has the institutional "Engine" taken over? The most polarized debate in the digital asset space today centers on a single question: Is the 4-year Halving Cycle dead? While some market participants wait for a pre-ordained calendar countdown, the reality of 2026 suggests that visual guesswork is no longer sufficient. As institutional gravity takes hold, we cannot rely on the simple "Clock" of the past. Instead, we must audit the Integrity of the present. The Cycle Integrity Index (CII) was engineered to move beyond simple price action and provide a clinical answer to the market's biggest mystery: "Is this trend supported by structural substance, or is it merely speculative foam?" By aggregating eight diverse Pillars into a single 0-100% score, this model uses Gaussian Distributions and Sigmoid Normalization to distinguish between professional accumulation and retail-driven chaos. We aren't guessing where we are in a cycle; we are measuring the internal health of the asset's engine in real-time. Why these 8 Pillars? The CII does not rely on a single indicator because the "New Era" of Bitcoin is multi-dimensional. To capture the full picture, I selected eight specific pillars that cover the three layers of market truth: • The Capital Layer: Global Liquidity (M2) and ETF Flows (Wall Street Absorption). • The Network Layer: Mining Difficulty and Security Backbone expansion. • The Sentiment Layer: Long-Term Holder conviction, Valuation Heat (MVRV), and Corporate Adoption (MSTR). While alternatives like the Pi Cycle or RSI exist, they are often "one-dimensional." The CII is a synthesis—a modular engine where every part validates the others. How the Calculation Works The CII is a sophisticated model for Bitcoin. It aggregates 8 diverse pillars into a single 0-100% score in the following way: • Mathematical Normalization: We don't just use raw prices. We use Gaussian Distributions to find "Institutional DNA" in drawdowns and Sigmoid (S-Curve) functions to score volatility and valuation. • Dynamic Weighting: The index is modular. If a data source (like a specific on-chain metric) is toggled off, the engine automatically redistributes the weight among the active sensors so the final integrity score is always balanced to 100%. • Multi-Source Integration: The script pulls from Global Liquidity (M2), ETF flows, Corporate Treasury premiums (MSTR), and Network Difficulty to create a truly "Full-Stack" view of the asset. The 8 Pillars of Integrity Pillar 1: Drawdown DNA The "Identity Crisis" Filter • Concept: Audits the depth of corrections to distinguish between "Institutional Floors" and "Retail Panics." • Logic: Historically, retail crashes reached -80%, while institutions view -20% to -25% as primary value entries. • Implementation: Uses a Gaussian (Normal) Distribution centered at -25%. Scores of 10/10 are awarded for holding institutional targets; scores decay as drawdowns accelerate toward legacy "crash" levels. Basis: DNA Drawdown Pillar 2: Volatility Regime The "Smoothness" Audit • Concept: Measures the "vibration" of the trend. High-integrity moves are characterized by "smooth" price action. • Logic: Erratic volatility signals speculative bubbles; consistent "volatility clusters" indicate professional trend-following. • Implementation: Calculates a Z-Score of the 14-day ATR against a 100-day benchmark. This is passed through a Sigmoid function to penalize "chaotic" price shocks while rewarding stability. Basis: RVPM Pillar 3: Liquidity Sync (Global M2) The Macro Heartbeat • Concept: Audits whether price growth is fueled by monetary expansion or internal speculative leverage. • Logic: True cycle integrity requires a positive correlation between Central Bank balance sheets and price action. • Implementation: Aggregates a custom Global Liquidity Proxy (Fed, RRP, TGA, PBoC, ECB, BoJ). It measures the Pearson Correlation between BTC and M2 with a standardized 80-day transmission lag. Basis: Liquisync Pillar 4: ETF Absorption (Wall Street Entry) The "Cost Basis" Defense • Concept: Tracks the aggregate institutional cost-basis since the January 2024 Spot ETF launch. • Logic: Integrity is high when the "Wall Street Floor" is defended; it fails when the aggregate position is underwater. • Implementation: A Cumulative VWAP engine tracking the "Big 3" (IBIT, FBTC, BITB). Scoring decays based on the percentage distance the price drifts below this institutional average entry. Basis: Institutional Cost Corridor Note: Turning this to OFF will significantly expand the timeframe of the indicator on the chart (otherwise it will just start in 2024) Pillar 5: LTH Dormancy (Conviction) The HODL Floor Audit • Concept: Monitors the conviction of Long-Term Holders (LTH) to identify supply-side constraints. • Logic: Sustainable cycles require stable or increasing 1Y+ dormant supply; rapid "thawing" signals distribution. • Implementation: Uses Min-Max Normalization on the Active 1Y Supply over a 252-day window. A score of 10/10 indicates peak annual holding conviction. Basis: RHODL Proxy & VDD Multiple Pillar 6: Valuation Intensity The MVRV Heat Map • Concept: Measures market "overheat" by comparing Market Value to Realized Value. • Logic: High integrity trends rise steadily; vertical spikes in MVRV indicate "speculative foam" and bubble risk. • Implementation: Performs a Relative Rank Analysis of the MVRV Ratio over a 730-day window, passed through a high-steepness Sigmoid curve to identify extreme valuation anomalies. Pillar 7: Miner Stress The Security Backbone • Concept: Tracks Mining Difficulty to ensure network infrastructure is expanding alongside price. • Logic: Difficulty expansion signals health; drops in difficulty (Miner Stress) signal capitulation and sell-side pressure. • Implementation: Monitors the 30-day Rate of Change (ROC) of Global Mining Difficulty. Maintains a 10/10 score during expansion; decays rapidly during network contraction. Pillar 8: Corporate Adoption The MSTR NAV Proxy • Concept: Audits the MicroStrategy (MSTR) premium as a barometer for institutional demand. • Logic: A high premium indicates a willingness to pay a "convenience fee" for BTC exposure; a collapsing premium signals waning appetite. • Implementation: Calculates the Adjusted Enterprise Value (Market Cap + Debt - Cash) relative to the Net Asset Value (NAV) of its BTC holdings. Note1: Debt and share parameters are user-adjustable to maintain accuracy as corporate balance sheets evolve. Note2: I just included this because I was curious about the mNAV calculation I saw in other scripts, where the printed value often does not match exactly the propagated value from the MSTR page itself. Hence, for my live calculation, we calculate the Adjusted Enterprise Value to find the "Market NAV" (mNAV). Unlike simpler scripts that only look at Market Cap vs. Bitcoin holdings, our engine accounts for the Capital Structure . We explicitly factor in the corporate debt (approx. $8.24B long-term + $7.95B convertible notes) and subtract the cash reserves (approx. $2.18B) to find the true cost Wall Street is paying for the underlying Bitcoin. Since this will ran "old" very quickly, I recommend to update in the code by yourself from time to time, or just de-select this parameter. Interpretation Guide • Score 100% (The Perfect Storm): This represents a state of "Maximum Integrity." All 8 pillars are in perfect institutional alignment—liquidity is surging, conviction is at yearly highs, and price action is perfectly smooth. This is the hallmark of a healthy, structural parabolic run. • 75% - 100% (High Integrity): Robust trend. Price is supported by structural demand and macro tailwinds. • 35% - 75% (Equilibrium): Transition zone. The market is digesting gains or waiting for a new liquidity pulse. • 0% - 35% (Fragile): Speculative foam. Structural support has failed. • Score 0% (The Ghost Trend): Absolute structural failure. All pillars (liquidity, miners, LTH, ETFs) have broken down. Note: Due to the robust nature of the Bitcoin network, the index naturally floors around 20-30% during deep bear markets, as specific pillars (like Miner Security) rarely drop to zero. To provide a complete experience, I have included the Cycle Triad —a visualization layer consisting of the Halving, Ideal Peak, and Ideal Low. It is important to understand the role of this feature: • Benchmark Only (Not Calculated): The Triad is based purely on historical evidence from previous Bitcoin epochs. While the Halving is fixed anyway, the "Ideal Peak" or "Ideal Low" are not calculated or computed by the 8 pillars. These are user-adjustable temporal anchors drawn on the chart to provide a static map of the "Legacy 4-Year Cycle." • The Temporal Audit: The power of the CII lies in comparing the Engine (the 8 Pillars) against the Clock (the Triad) . By overlaying historical time-windows on top of our integrity math, we can see if the "New Era" is currently ahead of, behind, or perfectly in sync with the past. • The "Peak Divergence" Logic: Based on the specific models selected for this ECU—specifically Volatility Decay and Valuation Heat —traders will notice that a cycle peak often coincides with a low integrity score (Red Zone) . While the index measures structural health, a low score is a byproduct of a market that has become "too hot to handle." • Regime Detection: Although the primary goal is to audit the "New Era," the CII is highly effective at detecting overheated regimes. When the score drops toward the 25–35% range, the structural floor is giving way to speculative foam—making it a dual-purpose tool for both cycle analysis and risk management. Dashboard Calibration & Settings Cycle Triad Calibration • Ideal Peak/Trough Window: Defines the historical "Average Days" from a Halving to the cycle top and bottom. This sets the vertical anchors for the Halving, Peak, and Low labels. • Show Cycle Triad: A master toggle to enable or disable the temporal lines and labels on your dashboard. The CII Master ECU is fully modular. You can toggle individual pillars ON/OFF to focus on specific market dimensions, and calibrate the sensitivity of each sensor to match your strategic bias. • P1: Drawdown DNA Lookback (Weeks): Defines the window for the "Rolling High." Inst. Target (%): The specific percentage drawdown you define as "Institutional Support" (e.g., -25%). • P2: Volatility Regime Benchmark (Days): The historical window used to define "Normal" vs. "Abnormal" volatility. • P3: Liquidity Sync Corr. Window (Bars): The lookback for the Pearson Correlation calculation. Transmission Lag (Bars): The delay (standard 80 days) for Central Bank M2 to hit price. • P4: ETF Absorption FBTC Ticker: The data source for the ETF volume audit (Default: CBOE:FBTC). • P5: LTH Dormancy LTH Source: The ticker for 1Y+ Active Supply (Default: GLASSNODE:BTC_ACTIVE1Y). Norm. Window: The lookback (252 days) used to rank current conviction. • P6: Valuation Intensity MVRV Source: The ticker for the MVRV Ratio (Default: INTOTHEBLOCK:BTC_MVRV). Relative Window: The lookback (730 days) to calculate the valuation rank. • P7: Miner Stress Mining Diff: The data source for Global Mining Difficulty (Default: QUANDL:BCHAIN/DIFF). • P8: Corporate Adoption Shares (M) & BTC (K): The balance sheet parameters for MicroStrategy (MSTR). Update these as the company executes new purchases to maintain mNAV accuracy. Operational Usage This index is best used on the Daily (D) (recommended - description for inputs optimized for this time-window) or Weekly (W) timeframes. While the code is optimized to fetch daily data regardless of your chart setting, the structural "Integrity" of a cycle is a macro phenomenon and should be viewed with a medium-to-long-term lens. The Verdict: Is the 4-Year Cycle Still Alive? Based on the data provided by the CII Master ECU, the answer remains a nuanced "Work in Progress." The evidence presents a fascinating conflict between legacy patterns and the new institutional regime: • The Case for the Cycle: Historically, a local "Peak" in price corresponds with a "Local Low" in our integrity indicator (Red Zone). We observed this exact phenomenon in October 2025. When viewed through the lens of the "Ideal Peak" anchor, this alignment suggests that the 4-year temporal rhythm is still exerts a massive influence on market behavior. • The Case for the New Era: While the timing of the October 2025 peak followed the legacy script, the intensity did not. Previous cycle tops produced far more aggressive and persistent "Red Zone" clusters. The relative brevity of the integrity breakdown suggests that the "Institutional Era" provides a much higher floor than the retail-driven bubbles of 2017 and 2021. • The Institutional Floor: Our data shows that while "Tops" still resemble the 4-year cycle, the "Lows" now reflect a regime of constant institutional absorption. This suggests that the brutal 80% drawdowns of the past may be replaced by the "Institutional DNA" of Pillar 1. Final Outlook: As we move through 2026, the ultimate test lies in the Q3/Q4 window. While classical theory demands a "Cycle Low" during this period, the CII will be our primary auditor. We cannot definitively say the cycle is dead, but we can say it has evolved. We will not know if the 4-year low will manifest until the model either flags a total structural breakdown or confirms that the institutional "Floor" has permanently shifted the rhythm of the asset. Tags: Bitcoin, Institutional, Macro, On-chain, Liquidity, MSTR, ETF, Cycle Note to Moderators: This script is a "Master Index" that aggregates several quantitative models I have previously published on this platform (including DNA Drawdown, RVPM, and Liquisync). I am the original author of the logic and source code referenced in the "Basis" sections of the description.
Indicador Pine Script®
por Rob_Maths
Momentum Cycle Oscillator (MCO)1. Concept and Inspiration The Momentum Cycle Oscillator (MCO) is a unique indicator designed to combine volatility and momentum into a unified tool for identifying market cycles. Traditional indicators often isolate either momentum (e.g., RSI) or volatility (e.g., Bollinger Bands), but the MCO bridges the gap by synthesizing these dimensions into one oscillating signal. By measuring price acceleration (momentum) and range consistency (volatility), the MCO aims to detect when a price cycle is shifting from contraction to expansion or vice versa, signaling potential trend reversals or continuations. Its zero-centered design provides a clear demarcation between bullish and bearish cycles. 2. Mathematical Structure The MCO is built on two foundational components: the volatility factor and the momentum factor. The volatility factor quantifies the price range over a defined period, highlighting market consistency and expansion. Meanwhile, the momentum factor assesses the rate of change in smoothed closing prices, revealing directional acceleration. These two factors are multiplied to create the raw MCO value, which is further smoothed to reduce noise and improve readability. The resulting oscillator fluctuates around zero, with positive values indicating upward cycles and negative values signaling downward cycles. 3. Practical Applications The MCO excels in identifying cycle turning points, where the market transitions from a bearish phase to a bullish phase or vice versa. Traders can use the zero line as a reference: a crossover from below to above zero suggests a potential buy signal, while a crossover from above to below zero indicates a sell signal. The MCO’s unique blend of volatility and momentum also helps detect shifts in trend strength, making it valuable in both trending and ranging markets. Its histogram visualization further aids traders by emphasizing the magnitude and direction of market momentum. 4. Innovative Features What sets the MCO apart is its ability to adapt dynamically to market conditions. By fusing two dimensions of market behavior—volatility and momentum—it provides a holistic view of price action. Unlike traditional indicators that rely heavily on recursion (e.g., EMA), the MCO’s straightforward calculation reduces lag, ensuring timely signals. Furthermore, its use of normalized components allows it to function effectively across diverse assets and timeframes without extensive parameter tuning. This makes it particularly versatile for both intraday traders and long-term investors. 5. Limitations and Potential While the MCO is robust, it is not immune to challenges. In highly choppy or low-volume markets, the indicator may generate false signals, as volatility and momentum can be erratic. Additionally, its performance depends on proper parameter calibration, with periods requiring adjustment to align with the asset’s behavior. However, its creative approach to combining volatility and momentum offers immense potential for refinement and customization. With proper backtesting and optimization, the MCO could become a staple tool for traders seeking a comprehensive yet simple way to interpret market cycles.
Indicador Pine Script®
por GustafValentine
Hosoda Time Cycles (Forward + Backward)Hosoda Time Cycles Market Timing Projection Tool The Hosoda Time Cycles indicator is inspired by the legendary Japanese trader Ichimoku Hosoda, who emphasized the power of time in forecasting market behavior. This tool visualizes forward and backward time cycles based on significant price pivots, enabling traders to anticipate potential trend shifts, consolidations, or continuations with high precision. Key Features: Forward & Backward Cycles: Projects future and past time intervals based on selected pivots to reveal cyclical patterns. Manual & Auto Pivot Selection: Choose between automatic detection or manually selected swing highs/lows. Cycle Ratios: Includes traditional Hosoda counts such as 9, 17, 26, 33, 42, and 65 — key numbers in Ichimoku time theory. Multi-Timeframe Utility: Effective across intraday, swing, and long-term charts. Minimalist Overlay: Clean design to avoid clutter while providing powerful cycle insights. Customizable Visuals: Adjustable line styles, colors, and cycle projection lengths for clarity and personalization. Ideal For: Traders focused on time-based confluence, cycle forecasting, and market rhythm detection, especially those who blend price action with Japanese trading techniques.
Indicador Pine Script®
por idrisskonf06
1
Quarterly Cycles by [M1rage]Quarterly Cycles by — Indicator Description (English) Purpose “Quarterly Cycles by ” is a multi-time-frame tool that visualizes recurring market rhythms—from 90-minute sessions up to annual cycles—and highlights Seasonal & Session-to-Session Market Transitions (SSMT). It helps discretionary and quantitative traders: See where the current bar sits inside intraday, daily, weekly, monthly, and yearly cycles. Spot fresh highs/lows relative to the previous cycle and immediately know whether the move is confirmed across correlated assets. Detect potential reversals via automated divergence markup (positive vs negative extremes in the same swing). Core Logic Cycle Engine Computes cycle starts from a fixed reference (1972-12-31 23:00 GMT+3, adjustable via the Time Offset input). Draws one of nine cycle layers depending on the active chart resolution: Time-frame Cycle(s) Rendered Box Style 5 min / 15 min 90 min & 6 h 90 m boxes: filled, 6 h boxes: border only 60 min 6 h & 1 day 6 h boxes: filled, 1 D boxes: border 4 h 1 day & 1 week 1 D boxes: filled, 1 W boxes: border 1 D 22.5 day (quarter inside a 90-day period) border 1 W 3-month, 1-year 3 M filled, 1 Y border Color Scheme Four-color palette (gray → red → green → blue) cycles every quarter; colors are reused consistently across all layers so you can correlate quickly. Dynamic Boxes Each box expands in real-time until the cycle completes, then freezes; a limited history (maxCycleBoxes, default = 250) is retained to save CPU. SSMT Divergence Scanner For every completed cycle the script compares new highs/lows with the previous cycle for (a) the main chart symbol and (b) up to three optional symbols. If the main asset makes a higher high and at least one satellite asset makes a lower high (or vice-versa), the indicator draws: A solid line between the two swing extremes. A circle label with a tooltip listing the diverging asset symbols. Works independently on the 90 m, 6 h, 1 D, and 1 W cycle layers. Toggle historic marks with Show History to avoid clutter. Inputs Overview Group Key Settings Function Time Settings Time Offset Shift all cycle anchors by ±12 h in 1-h steps to sync with custom sessions. Cycle Settings Show Quarter Cycles, Box Limit, Line Style, Line / BG Transparency, Label Font & Colors Visual customization. SSMT Settings Up to 3 correlated assets (Asset 2 / 3 / 4) with optional inversion; Show History, Markup Line Width, Label Size Controls divergence detection. Practical Tips Lower time-frames (<15 m) are ideal for intraday scalping around 90-minute and 6-hour boxes. 1 D / 1 W layers expose where the current swing sits inside monthly or quarterly structure—useful for swing entries at box extremes. Combine the label tooltips with your watch-list: when GBPUSD is listed as an opposite asset to EURUSD, watch for mean-reversion setups. Setting Time Offset = -5 hours aligns the 90-minute cycle start with New-York midnight (useful for FX traders). Disclaimer This script is provided for educational purposes only and does not constitute financial advice. Past cyclical behavior does not guarantee future performance. Always test on a demo account or in TradingView’s replay mode before risking capital.
Indicador Pine Script®
por M1rage_fx
2
Celestial Cycles [Orderflowing]Astronomical Calculations | Moon Phases | Lunar Cycles & Rare Events | Solar Eclipses & Seasonal Markers | Mercury Retrograde Analysis | Momentum-Based Trend Coloration | Moon Information Table | Customizable Alerts Built using Pine Script V6 Introduction The Celestial Cycles indicator is a simple yet complex script that merges the timeless influence of astronomical events with modern technical analysis. By plotting key celestial phenomena, such as moon phases, seasonal markers, and Mercury retrograde periods onto your price chart, this indicator offers traders a fresh perspective on market cycles. If you like financial astrology or seeking a creative edge, it provides a visually intuitive way to explore potential correlations between celestial events and market behavior. This indicator is ideal for traders of all experience levels looking to integrate the celestial cycle into their strategies, complementing traditional technical tools with a unique layer of analysis. Innovation and Inspiration Inspired by financial astrology. The notion that celestial events, like moon phases or planetary retrogrades, might influence human psychology and market dynamics has intrigued traders for a long time. "Millionaires don’t use astrology, billionaires do." (allegedly): ~J.P. Morgan This indicator modernizes that concept with astronomical calculations, plotting these events on your chart. Core Features Moon Phases: Displays new moons, full moons, and quarter moons, with optional micro phases (1/8, 3/8, 5/8, 7/8) for detailed analysis. Special Moons: Highlights rare events like blood moons (lunar eclipses) and blue moons with distinct markers. Solar Eclipses: Marks solar eclipses during new moon phases when enabled. Seasonal Events: Plots "Spring | Equinox," "Summer | Solstice," "Autumn | Equinox," and "Winter | Solstice" for cyclical context. Mercury Retrograde: Visualizes current and future Mercury retrograde periods with background highlights and labels. Trend Coloration: Colors price bars based on momentum to aid trend visualization (optional). Information Table: Shows real-time moon age and phase details in a table. Customizable Alerts: Set up alerts for moon phases, special moon events, seasonal events, and Mercury retrograde transitions to stay informed about key celestial occurrences. Customization and User Inputs Celestial Cycles is customizable, allowing you to adjust it to your liking: Event Toggles: Show or hide specific events (e.g., moon phases, special moons, eclipses, seasonal events, Mercury retrograde). Visual Adjustments: Set colors and positions (above or below bars) for each event type. Phase Timing: Fine-tune moon phase detection with hour-based adjustments for precision. Trend Settings: Enable/disable trend coloration and adjust the momentum calculation period. Mercury Retrograde Options: Display current retrogrades and up to 10 future periods, with customizable visibility. Alert Settings: Enable or disable alerts for specific celestial events, including moon phases, special moons, seasonal events, and Mercury retrograde starts and ends. These options ensure a clean, focused chart highlighting only the elements most relevant to your analysis. How It Works The indicator leverages code to show celestial events: Moon Phases: Calculated using Julian dates and ecliptic coordinates to determine moon age and phase transitions. Special Events: Detects eclipses and rare moons by analyzing lunar and solar positions relative to the ecliptic plane. Seasonal Markers: Identifies "Spring | Equinox," "Summer | Solstice," "Autumn | Equinox," and "Winter | Solstice". Mercury Retrograde: Approximates retrograde cycles and projects future periods based on a simplified orbital model. Trend Coloration: Applies a momentum oscillator to color bars, reflecting potential bullish or bearish trend. Analysis and Interpretation Traders can use Celestial Cycles to explore intriguing market hypotheses: Moon Phases: New and full moons may align with volatility spikes or trend reversals. Eclipses: Eclipses might signal significant market shifts. Seasonal Events: Equinoxes and solstices could highlight cyclical turning points. Mercury Retrograde: Periods of potential disruption or reversal, often linked to communication and technology challenges. Trend Coloration: Visual cues to confirm potential momentum alongside celestial events. Usage and Applications Long-Term Trends: High Timeframe (HTF) charts to study celestial impacts on major cycles. Short-Term Trends: Apply to intraday timeframes (LTF) for event correlations. Confluence: Pair with technical indicators for stronger signals. Research: Backtest historical data to uncover patterns specific to your chosen market. Use the adjustment periods to fine-tune. Why Use This Indicator? Unique Perspective: Combines celestial and technical analysis. Free Access: Enjoy a premium script with lots of features at no cost. Customization: Personalize every aspect to suit your preferences. Educational: Learn about astronomical cycles. Stay Informed: Set up customizable alerts to receive event notifications. Conclusion Celestial Cycles is an exploration of how the cosmos might intersect with the markets. By overlaying key astronomical events on your chart and offering alerts, it invites you to see trading through a new lens. While not a crystal ball, it’s a compelling addition to a trader’s toolkit. Disclaimer: This indicator is for informational, educational and analytical purposes only. Celestial correlations are speculative and should not be the sole basis for trading decisions. Always combine with other analysis methods and manage risk appropriately.
Indicador Pine Script®
por Orderflowing
Adaptive Momentum Cycle Oscillator (AMCO)1. Concept and Foundation The Adaptive Momentum Cycle Oscillator (AMCO) is an advanced indicator designed to dynamically adjust to varying market conditions while identifying price cycles and trends. It combines momentum and volatility into a single, oscillating signal that helps traders detect turning points in price movements. By incorporating adaptive periods and trend filtering, AMCO ensures relevance across different asset classes and timeframes. This innovation bridges the gap between traditional oscillators and trending indicators, providing a comprehensive tool for both cycle identification and trend confirmation. 2. Dynamic Adaptation to Market Conditions A standout feature of AMCO is its ability to adapt its sensitivity based on market volatility. Using the ATR (Average True Range) as a measure of current volatility, AMCO adjusts its calculation periods dynamically. During periods of high volatility, it extends its lookback periods to smooth out noise and avoid false signals. Conversely, in low-volatility environments, it shortens its periods to remain responsive to smaller price fluctuations. This adaptability ensures that AMCO remains effective and reliable in both trending and ranging markets. 3. Trend Awareness and Directional Weighting AMCO integrates a trend filter based on a long-term moving average, such as SMA(200), to align its signals with the broader market direction. This filter ensures that buy signals are prioritized during uptrends and sell signals during downtrends, reducing counter-trend trades. Additionally, a directional weighting mechanism amplifies momentum signals that align with the prevailing trend. This dual-layer approach significantly enhances the accuracy of signals, making AMCO especially useful in markets with clear directional bias. 4. Normalized Visualization for Clarity The AMCO includes a normalized histogram that provides a clear visual representation of momentum strength relative to recent volatility. By dividing the raw AMCO value by the ATR, the histogram ensures consistency across assets with varying price ranges and volatility levels. Positive bars indicate bullish momentum, while negative bars signify bearish momentum. This intuitive visualization makes it easier for traders to interpret market dynamics and act on actionable signals, regardless of asset type or timeframe. 5. Practical and Actionable Signals AMCO generates practical signals based on zero-line crossovers, allowing traders to easily identify shifts between bullish and bearish cycles. Positive values above the zero line suggest upward momentum, signaling potential buying opportunities, while negative values below the zero line indicate downward momentum, signaling potential sell opportunities. By combining adaptive behavior, trend filtering, and momentum-strength normalization, AMCO offers traders a robust framework for navigating complex markets with confidence. Its versatility makes it suitable for scalping, swing trading, and even longer-term investing.
Indicador Pine Script®
por GustafValentine
Solar Cycle (SOLAR)SOLAR: SOLAR CYCLE 🔍 OVERVIEW AND PURPOSE The Solar Cycle indicator is an astronomical calculator that provides precise values representing the seasonal position of the Sun throughout the year. This indicator maps the Sun's position in the ecliptic to a normalized value ranging from -1.0 (winter solstice) through 0.0 (equinoxes) to +1.0 (summer solstice), creating a continuous cycle that represents the seasonal progression throughout the year. The implementation uses high-precision astronomical formulas that include orbital elements and perturbation terms to accurately calculate the Sun's position. By converting chart timestamps to Julian dates and applying standard astronomical algorithms, this indicator achieves significantly greater accuracy than simplified seasonal approximations. This makes it valuable for traders exploring seasonal patterns, agricultural commodities trading, and natural cycle-based trading strategies. 🧩 CORE CONCEPTS Seasonal cycle integration: Maps the annual solar cycle (365.242 days) to a continuous wave Continuous phase representation: Provides a normalized -1.0 to +1.0 value Astronomical precision: Uses perturbation terms and high-precision constants for accurate solar position Key points detection: Identifies solstices (±1.0) and equinoxes (0.0) automatically The Solar Cycle indicator differs from traditional seasonal analysis tools by incorporating precise astronomical calculations rather than using simple calendar-based approximations. This approach allows traders to identify exact seasonal turning points and transitions with high accuracy. ⚙️ COMMON SETTINGS AND PARAMETERS Pro Tip: While the indicator itself doesn't have adjustable parameters, it's most effective when used on higher timeframes (daily or weekly charts) to visualize seasonal patterns. Consider combining it with commodity price data to analyze seasonal correlations. 🧮 CALCULATION AND MATHEMATICAL FOUNDATION Simplified explanation: The Solar Cycle indicator calculates the Sun's ecliptic longitude and transforms it into a sine wave that peaks at the summer solstice and troughs at the winter solstice, with equinoxes at the zero crossings. Technical formula: Convert chart timestamp to Julian Date: JD = (time / 86400000.0) + 2440587.5 Calculate Time T in Julian centuries since J2000.0: T = (JD - 2451545.0) / 36525.0 Calculate the Sun's mean longitude (L0) and mean anomaly (M), including perturbation terms: L0 = (280.46646 + 36000.76983T + 0.0003032T²) % 360 M = (357.52911 + 35999.05029T - 0.0001537T² - 0.00000025T³) % 360 Calculate the equation of center (C): C = (1.914602 - 0.004817T - 0.000014*T²)sin(M) + (0.019993 - 0.000101T)sin(2M) + 0.000289sin(3M) Calculate the Sun's true longitude and convert to seasonal value: λ = L0 + C seasonal = sin(λ) 🔍 Technical Note: The implementation includes terms for the equation of center to account for the Earth's elliptical orbit. This provides more accurate timing of solstices and equinoxes compared to simple harmonic approximations. 📈 INTERPRETATION DETAILS The Solar Cycle indicator provides several analytical perspectives: Summer Solstice (+1.0): Maximum solar elevation, longest day Winter Solstice (-1.0): Minimum solar elevation, shortest day Vernal Equinox (0.0 crossing up): Day and night equal length, spring begins Autumnal Equinox (0.0 crossing down): Day and night equal length, autumn begins Transition rates: Steepest near equinoxes, flattest near solstices Cycle alignment: Market cycles that align with seasonal patterns may show stronger trends Confirmation points: Solstices and equinoxes often mark important seasonal turning points ⚠️ LIMITATIONS AND CONSIDERATIONS Geographic relevance: Solar cycle timing is most relevant for temperate latitudes Market specificity: Seasonal effects vary significantly across different markets Timeframe compatibility: Most effective for longer-term analysis (weekly/monthly) Complementary tool: Should be used alongside price action and other indicators Lead/lag effects: Market reactions to seasonal changes may precede or follow astronomical events Statistical significance: Seasonal patterns should be verified across multiple years Global markets: Consider opposite seasonality in Southern Hemisphere markets 📚 REFERENCES Meeus, J. (1998). Astronomical Algorithms (2nd ed.). Willmann-Bell. Hirshleifer, D., & Shumway, T. (2003). Good day sunshine: Stock returns and the weather. Journal of Finance, 58(3), 1009-1032. Hong, H., & Yu, J. (2009). Gone fishin': Seasonality in trading activity and asset prices. Journal of Financial Markets, 12(4), 672-702. Bouman, S., & Jacobsen, B. (2002). The Halloween indicator, 'Sell in May and go away': Another puzzle. American Economic Review, 92(5), 1618-1635.
Indicador Pine Script®
por mihakralj
Bitcoin Halving Cycle ProfitThe Bitcoin Halving Cycle Profit indicator, developed by Kevin Svenson , unveils a consistent and predetermined profit-taking cycle triggered by each Bitcoin halving event. This indicator streamlines the analysis of halving occurrences, providing explicit signals for both profit-taking and Dollar-Cost Averaging strategies. Following each Bitcoin halving event, a fixed number of weeks consistently mark the period of maximum profitability for profit-taking: 🔄 Halving Cycle Profit Timeline Explained: • 40 Weeks (Post-Halving) = Start of the optimal profit-taking zone. • 80 Weeks (Post-Halving) = "Last Call" for profit-taking before the onset of a bear market. • 125 Weeks (Post-Halving) = The optimal timeframe to begin Dollar-Cost Averaging. (Bitcoin Weekly Chart using Halving Cycle Profit) One standout feature of this indicator is its inherent clarity and comprehensive labeling. This quality makes it exceptionally easy to discern the locations of key factors and turning points, enhancing your understanding of the market dynamics it highlights. (Bitcoin Daily Chart using Halving Cycle Profit) 🚀 This indicator doesn't limit its effectiveness to just Bitcoin; it seamlessly integrates with top blue-chip altcoins like Ethereum and most household names in the crypto industry. ( Ethereum Weekly Chart using Halving Cycle Profit) 🛠️ Customizable display options are availible. Users have the flexibility to toggle/adjust labels, lines, and color fills according to their preferences. 📑 In summary, the Bitcoin Halving Cycle Profit indicator is a versatile and user-friendly tool, offering clarity and customization for traders navigating both Bitcoin and top altcoins. ⚠️ It's important to note that while the Bitcoin Halving Cycle Profit indicator provides historical insights, past performance does not guarantee future results. Timing profitability in the cryptocurrency market involves inherent risks, and this indicator should not be construed as financial advice. Users are encouraged to exercise caution, conduct thorough research, and make informed decisions based on their individual risk tolerance and financial goals.
Indicador Pine Script®
por KevinSvenson_
63
US Election Cycle Strategy [Druckenmiller]US Election Cycle Strategy This indicator allows you to visually backtest and monitor the "US Presidential Election Cycle" theory, famously advocated by legendary investors like Stanley Druckenmiller. The core premise of this strategy is that the stock market tends to demonstrate strong performance in the two years leading up to a US Presidential Election, largely driven by fiscal stimulus, increased government spending, and economic maneuvering aimed at securing re-election. How it works: The script algorithmically calculates the exact date of US Presidential Elections (defined as the Tuesday next after the first Monday in November) for every cycle from 1900 to 2040. It creates a theoretical "Buy" signal exactly two years prior to the election and a "Sell" signal on Election Day itself. Key Features of this Version: Dynamic Date Calculation: Unlike scripts with hard-coded dates, this version uses a mathematical algorithm to determine the precise election date for any given year, ensuring historical accuracy and future-proofing. Maximized History: The script automatically utilizes all available historical data provided by your chart. It does not arbitrarily cut off data (e.g., at 1970) unless you specifically choose a different start year in the settings. Performance Statistics: An integrated dashboard displays key metrics based on the available history, including Average Return, Median Return, and the overall Win Rate of the strategy. Visual Feedback: The "Entry" point is marked with a dashed line, which automatically colors itself Green (Profit) or Red (Loss) once the cycle is completed, giving you an immediate visual heatmap of historical performance. Settings: You can customize the "Start Calculation From Year" to filter the statistics for specific eras (e.g., set it to 2000 to see only modern market behavior). The visual appearance of lines and the statistics table are fully customizable. Note: This "strategy" is best applied to major US Indices (such as the S&P 500 or Dow Jones Industrial Average) on a Daily or Weekly timeframe.
Indicador Pine Script®
por robinzawa
Z-Scored Pi Cycle Top & BottomThis indicator calculates the Z-score of the Pi Cycle Top & Bottom indicator to identify potential market cycle tops and bottoms. It uses the relationship between two EMAs (111 and 350) to assess the price action and applies a Z-score to determine how far the current value deviates from the mean, providing a normalized measure of overbought and oversold conditions. Summary: The Z-Scored Pi Cycle Top & Bottom indicator is designed to help traders identify significant market cycle extremes by applying a Z-score to the Pi Cycle Top & Bottom ratio (EMA 111/EMA 350). This normalized score ranges between -2.99 and 2.99, with values near the extremes suggesting potential market tops or bottoms. Green shading indicates a positive Z-score (potential top), while red shading indicates a negative Z-score (potential bottom). Use this indicator to gauge where the market stands relative to historical tops and bottoms, allowing for more informed decision-making in both bull and bear markets. The indicator also displays the absolute value of the Z-score in the label, helping traders easily visualize how far the current market is from historical extremes. **I did not come up with or create this indicator I have just z scored it and made it easier for myself to use.***
Indicador Pine Script®
por WetDog69
2
PROWIN STUDY BITCOIN DOMINANCE CYCLE**Title: PROWIN STUDY BITCOIN DOMINANCE CYCLE** **Overview:** This TradingView script analyzes the relationship between Bitcoin dominance and Bitcoin price movements, as well as the performance of altcoins. It categorizes market conditions into different scenarios based on the movements of Bitcoin dominance and Bitcoin price, and plots the Exponential Moving Average (EMA) of the altcoins index. **Key Components:** 1. **Bitcoin Dominance:** - `dominanceBTC`: Fetches the Bitcoin dominance from the "CRYPTOCAP:BTC.D" symbol for the current timeframe. 2. **Bitcoin Price:** - `priceBTC`: Uses the closing price of Bitcoin from the current chart (assumed to be BTC/USD). 3. **Altcoins Index:** - `altcoinsIndex`: Fetches the total market cap of altcoins (excluding Bitcoin) from the "CRYPTOCAP:TOTAL2" symbol. 4. **EMA of Altcoins:** - `emaAltcoins`: Calculates the 20-period Exponential Moving Average (EMA) of the altcoins index. **Conditions:** 1. **Bitcoin Dominance and Price Up:** - `dominanceBTC_up`: Bitcoin dominance crosses above its 20-period Simple Moving Average (SMA). - `priceBTC_up`: Bitcoin price crosses above its 20-period SMA. 2. **Bitcoin Dominance Up and Price Down:** - `priceBTC_down`: Bitcoin price crosses below its 20-period SMA. 3. **Bitcoin Dominance Up and Price Sideways:** - `priceBTC_lateral`: Bitcoin price change is less than 5% of its 10-period average change. 4. **Altseason:** - `altseason_condition`: Bitcoin dominance crosses below its 20-period SMA while Bitcoin price crosses above its 20-period SMA. 5. **Dump:** - `dump_altcoins_condition`: Bitcoin dominance crosses below its 20-period SMA while Bitcoin price crosses below its 20-period SMA. 6. **Altcoins Up:** - `altcoins_up_condition`: Bitcoin dominance crosses below its 20-period SMA while Bitcoin price moves sideways. **Current Condition:** - Determines the current market condition based on the above scenarios and stores it in the `currentCondition` variable. **Plotting:** - Plots the EMA of the altcoins index on the chart in green with a linewidth of 2. - Displays the current market condition in a table at the top-right of the chart, with appropriate background and text colors. **Background Color:** - Sets a semi-transparent blue background color for the chart. This script helps traders visualize and understand the market dynamics between Bitcoin dominance, Bitcoin price, and altcoin performance, providing insights into different market cycles and potential trading opportunities.
Indicador Pine Script®
por Jesuanro
2
SATAN Cycle BitcoinWith this indicator I want to dismantle the Pi Cycle Bitcoin indicator since the community thinks that it has a mathematical basis based on the Pi number, nothing is further from reality, the indicator uses averages which, divided, result in the Pi number but in the code uses some multipliers to adjust the crossing of averages and I demonstrate it with this indicator in which if you add the averages you get the number 666, is the demon behind the Bitcoin cycles? NO, it is only an adjustment of averages and multipliers. With this I only intend to alert the community that the indicator is 0% reliable.
Indicador Pine Script®
por FJVL85