4-Year Cycles [jpkxyz]Overview of the Script
I wanted to write a script that encompasses the wide-spread macro fund manager investment thesis: "Crypto is simply and expression of macro." A thesis pioneered by the likes of Raoul Pal (EXPAAM) , Andreesen Horowitz (A16Z) , Joe McCann (ASYMETRIC) , Bob Loukas and many more.
Cycle Theory Background:
The 2007-2008 financial crisis transformed central bank monetary policy by introducing:
- Quantitative Easing (QE): Creating money to buy assets and inject liquidity
- Coordinated global monetary interventions
Proactive 4-year economic cycles characterised by:
- Expansionary periods (low rates, money creation)
- Followed by contraction/normalisation
Central banks now deliberately manipulate liquidity, interest rates, and asset prices to control economic cycles, using monetary policy as a precision tool rather than a blunt instrument.
Cycle Characteristics (based on historical cycles):
- A cycle has 4 seasons (Spring, Summer, Fall, Winter)
- Each season with a cycle lasts 365 days
- The Cycle Low happens towards the beginning of the Spring Season of each new cycle
- This is followed by a run up throughout the Spring and Summer Season
- The Cycle High happens towards the end of the Fall Season
- The Winter season is characterised by price corrections until establishing a new floor in the Spring of the next cycle
Key Functionalities
1. Cycle Tracking
- Divides market history into 4-year cycles (Spring, Summer, Fall, Winter)
- Starts tracking cycles from 2011 (first cycle after the 2007 crisis cycle)
- Identifies and marks cycle boundaries
2. Visualization
- Colors background based on current cycle season
- Draws lines connecting:
- Cycle highs and lows
- Inter-cycle price movements
- Adds labels showing:
- Percentage gains/losses between cycles
- Number of days between significant points
3. Customization Options
- Allows users to customize:
- Colors for each season
- Line and label colors
- Label size
- Background opacity
Detailed Mechanism
Cycle Identification
- Uses a modulo calculation to determine the current season in the 4-year cycle
- Preset boundary years include 2015, 2019, 2023, 2027
- Automatically tracks and marks cycle transitions
Price Analysis
- Tracks highest and lowest prices within each cycle
- Calculates percentage changes:
- Intra-cycle (low to high)
- Inter-cycle (previous high to current high/low)
Visualization Techniques
- Background color changes based on current cycle season
- Dashed and solid lines connect significant price points
- Labels provide quantitative insights about price movements
Unique Aspects
1. Predictive Cycle Framework: Provides a structured way to view market movements beyond traditional technical analysis
2. Seasonal Color Coding: Intuitive visual representation of market cycle stages
3. Comprehensive Price Tracking: Captures both intra-cycle and inter-cycle price dynamics
4. Highly Customizable: Users can adjust visual parameters to suit their preferences
Potential Use Cases
- Technical analysis for long-term investors
- Identifying market cycle patterns
- Understanding historical price movement rhythms
- Educational tool for market cycle theory
Limitations/Considerations
- Based on a predefined 4-year cycle model (Liquidity Cycles)
- Historic Cycle Structures are not an indication for future performance
- May not perfectly represent all market behavior
- Requires visual interpretation
This script is particularly interesting for investors who believe in cyclical market theories and want a visual, data-driven representation of market stages.
In den Scripts nach "Cycle" suchen
Western Astrological Cycle Trading Indicator v1.0Western Astrological Cycle Trading Indicator v1.0
Overview
The Western Astrological Cycle Trading Indicator is a comprehensive Pine Script tool that overlays astrological cycles and predictions onto trading charts. It integrates Western astrological theory with technical analysis to provide unique cyclical perspectives on market movements based on planetary and zodiacal alignments.
What It Does
Core Functionality
Astrological Year Mapping:
Assigns each year (2000 onward) a specific planet-zodiac combination
Follows a 10-year planetary cycle and 12-year zodiac cycle
Generates theoretical market predictions based on these combinations
Visual Elements:
Background coloring based on yearly astrological predictions
Detailed information table with comprehensive astrological data
Year labels with zodiac symbols and predictions
Ten-year planetary cycle progress bar
Important year markers (Jupiter, Neptune, etc.)
Astrological calendar showing daily and monthly phases
Trading Insights:
Trend indicators (Bullish/Neutral/Bearish) based on planetary positions
Confidence levels for predictions
Element relationships affecting financial markets
Historical and future astrological phase tracking
How It Works
Technical Implementation
1. Cycle Calculation System
Planetary Cycle: 10-year rotation (Sun, Mercury, Venus, Earth, Mars, Jupiter, Saturn, Uranus, Neptune, Pluto)
Zodiac Cycle: 12-year rotation through all zodiac signs
Calculation:
pinescript
planetIndex = math.floor((year - 2000) % 10)
zodiacIndex = math.floor((year - 2000) % 12)
2. Prediction Engine
Each planet-zodiac combination generates specific predictions
Confidence scores (0-100%) assigned to each prediction
Trend direction determined by planetary attributes:
Bullish: Sun, Jupiter, Venus
Bearish: Mars, Saturn, Pluto
Neutral: Mercury, Uranus, Neptune
3. Visual Rendering System
Multiple label positioning algorithms to prevent overlap
Dynamic table generation with color-coded cells
Progress bar visualization of cycle completion
Time-aware markers that appear only on year transitions
4. Date Management
Comprehensive date calculation functions
Leap year detection
Day/month/year progression tracking
Future/past date predictions
Astrological Logic
The indicator uses traditional Western astrological correspondences:
Planets represent different market energies
Zodiac signs modify and color these energies
Elements (Fire, Earth, Air, Water) show elemental relationships
Modalities (Cardinal, Fixed, Mutable) indicate the nature of change
How to Use It
Installation
Open TradingView platform
Navigate to Pine Editor
Paste the entire script
Click "Add to Chart"
Configuration
Basic Settings
Show Background Color: Toggle prediction-based background coloring
Show Info Table: Display/hide the comprehensive information table
Show Year Labels: Toggle yearly astrological labels on the chart
Customization Options
Year Label Settings:
Choose label color
Adjust font size (small/normal/large)
Toggle year numbers and zodiac symbols
Planetary Cycle Progress:
Display ten-year cycle progress bar
Customize progress bar colors
Adjust position on chart
Marker Lines:
Toggle individual planet markers (Jupiter, Venus/Mars, Saturn/Uranus, Neptune)
Customize marker colors and positions
Adjust marker font sizes
Additional Elements:
Disclaimer display
Trend indicator
Element relationship hints
Current year information
Interpretation Guide
Reading the Information Table
The table provides:
Astro Year: Current planet-zodiac combination
Trend: Bullish/Neutral/Bearish direction
Theoretical Forecast: Market prediction based on astrology
Confidence: Probability score of prediction
Cycle Progress: Position in 10-year planetary cycle
Element Relation: How current element interacts with financial markets
Understanding Visual Elements
Background Colors:
Orange/Green: Bullish years (Sun, Jupiter, Venus)
Red/Brown: Bearish years (Mars, Saturn, Pluto)
Blue/Purple: Neutral/transitional years
Year Labels:
Appear at year transitions
Show planet-zodiac combination
Include prediction summary
Special Markers:
Jupiter Years: Blue markers - potential expansion/bull markets
Neptune Years: Purple markers - cycle endings/uncertainty
Saturn/Uranus Years: Red markers - contraction/revolution
Progress Bar:
Shows current position in 10-year cycle
Indicates years remaining to next Jupiter year
Using the Astrological Calendar
The bottom-right calendar shows:
Daily phases: Current planetary influences
Monthly phases: Broader monthly trends
Trend signals: Daily/monthly direction indicators
Quarterly overview: Longer-term perspectives
Practical Trading Application
Long-term Planning:
Use Jupiter year markers for potential bull market entries
Be cautious during Saturn/Pluto years (potential bear markets)
Note cycle transitions (Neptune years) for market shifts
Medium-term Analysis:
Consider monthly planetary changes for quarterly planning
Use element relationships to understand sector rotations
Short-term Awareness:
Check daily phases for potential reversal days
Monitor trend changes at month transitions
Risk Management:
Reduce position size during low-confidence periods
Increase vigilance during transition years
Use astrological signals as confluence with technical analysis
Alerts System
Enable alerts to receive notifications for:
Year transitions
Important astrological events
Cycle beginnings/endings
Important Notes
Theoretical Nature: This indicator is based on astrological theory, not financial advice
Confluence Trading: Use alongside traditional technical analysis
Backtesting: Always test strategies before live implementation
Risk Management: Never rely solely on astrological signals for trading decisions
Customization Tips
Label Overlap: Adjust label spacing if labels overlap
Performance: Reduce max_lines_count/max_labels_count if experiencing lag
Color Schemes: Customize colors to match your chart theme
Positioning: Adjust marker positions based on your chart's volatility
Disclaimer
This indicator is for educational and research purposes only. It combines astrological theory with technical analysis for experimental purposes. Past performance does not guarantee future results. Always conduct your own research and consult with financial advisors before making trading decisions.
🕊️ Shemitah + Jubilee Cycle OverlayShemitah + Jubilee Cycle Overlay
This indicator overlays significant biblical cycle events—Shemitah and Jubilee years—onto your chart, providing a unique perspective on historical and potential future market cycles. The Shemitah cycle occurs every 7 years, while the Jubilee cycle spans 49 years, both starting from a user-defined year (defaulting to 1917). Key features include:
Highlight Shemitah Years: Shades the chart background in orange during Shemitah years, with customizable color and transparency.
Mark Jubilee Years: Draws bold blue vertical lines on the chart for Jubilee years, with optional labels.
Event Markers: Places vertical lines and labels (e.g., "Shemitah" or "Jubilee") on a specified month and day (defaulting to September 10th) for each cycle event.
Countdown Display: Shows the next upcoming Shemitah and Jubilee years on the chart for easy reference.
Customizable Inputs: Adjust the start year, cycle lengths, event date, colors, and visibility of highlights and labels to suit your analysis.
Ideal for traders and analysts exploring long-term economic or market patterns influenced by these traditional cycles, this overlay combines historical context with visual clarity. Use it on daily or higher timeframes for best results. The best markets to overlay this indicator on include major stock indices (e.g., S&P 500, Dow Jones), precious metals (e.g., Gold, Silver), cryptocurrencies (e.g., Bitcoin, Ethereum), and debt markets (e.g., U.S. Treasury Bonds, Corporate Bond ETFs), as these markets often reflect macroeconomic shifts, debt cycles, and speculative behavior that may correlate with Shemitah and Jubilee cycles.
Rationale for Including Debt Markets
U.S. Treasury Bonds:
Treasury securities (e.g., 10-year or 30-year bonds) are sensitive to interest rate changes and government debt levels. The Shemitah cycle (every 7 years) has been historically linked to debt-related economic adjustments, while the Jubilee cycle (every 49 years) aligns with broader debt forgiveness or restructuring concepts, making bonds a prime candidate.
Corporate Bond ETFs (e.g., LQD, HYG):
Corporate bond ETFs represent corporate debt and are influenced by credit cycles and economic resets. The indicator could highlight periods of potential default risk or yield shifts tied to Shemitah or Jubilee years.
Relevance to Biblical Context:
The Jubilee year, as described in the Bible (Leviticus 25), involves the release of debts and return of land, directly tying it to debt markets. The Shemitah year also includes a release of debts every seven years, making debt instruments a natural fit for this indicator’s thematic analysis.
Super Cycle Low FinderHow the Indicator Works
1. Inputs
Users can adjust the cycle lengths:
Daily Cycle: Default is 40 days (within 36-44 days).
Weekly Cycle: Default is 26 weeks (182 days, within 22-31 weeks).
Yearly Cycle: Default is 4 years (1460 days).
2. Cycle Low Detection
Function: detect_cycle_low finds the lowest low over the specified period and confirms it with a bullish candle (close > open).
Timeframes: Daily lows are calculated directly; weekly and yearly lows use request.security to fetch data from higher timeframes.
3. Half Cycle Lows
Detected over half the cycle length, plotted to show mid-cycle strength or weakness.
4. Cycle Translation
Logic: Compares the position of the highest high to the cycle’s midpoint.
Output: "R" for right translated (bullish), "L" for left translated (bearish), displayed above bars.
5. Cycle Failure
Flags when a new low falls below the previous cycle low, indicating a breakdown.
6. Visualization
Cycle Lows: Diamonds below bars (yellow for daily, green for weekly, blue for yearly).
Half Cycle Lows: Circles below bars (orange, lime, aqua).
Translations: "R" or "L" above bars in distinct colors.
Failures: Downward triangles below bars (red, orange, purple).
Debt-Cycle vs Bitcoin-CycleDebt-Cycle vs Bitcoin-Cycle Indicator
The Debt-Cycle vs Bitcoin-Cycle indicator is a macro-economic analysis tool that compares traditional financial market cycles (debt/credit cycles) against Bitcoin market cycles. It uses Z-score normalization to track the relative positioning of global financial conditions versus cryptocurrency market sentiment, helping identify potential turning points and divergences between traditional finance and digital assets.
Key Features
Dual-Cycle Analysis: Simultaneously tracks traditional financial cycles and Bitcoin-specific cycles
Z-Score Normalization: Standardizes diverse data sources for meaningful comparison
Multi-Asset Coverage: Analyzes currencies, commodities, bonds, monetary aggregates, and on-chain metrics
Divergence Detection: Identifies when Bitcoin cycles move independently from traditional finance
21-Day Timeframe: Optimized for Long-term cycle analysis
What It Measures
Finance-Cycle (White Line)
Tracks traditional financial market health through:
Currencies: USD strength (DXY), global currency weights (USDWCU, EURWCU)
Commodities: Oil, gold, natural gas, agricultural products, and Bitcoin price
Corporate Bonds: Investment-grade spreads, high-yield spreads, credit conditions
Monetary Aggregates: M2 money supply, foreign exchange reserves (weighted by currency)
Treasury Bonds: Yield curve (2Y/10Y, 3M/10Y), term premiums, long-term rates
Bitcoin-Cycle (Orange Line)
Tracks Bitcoin market positioning through:
On-Chain Metrics:
MVRV Ratio (Market Value to Realized Value)
NUPL (Net Unrealized Profit/Loss)
Profit/Loss Address Distribution
Technical Indicators:
Bitcoin price Z-score
Moving average deviation
Relative Strength:
ETH/BTC ratio (altcoin strength indicator)
Visual Elements
White Line: Finance-Cycle indicator (positive = expansionary conditions, negative = contractionary)
Orange Line: Bitcoin-Cycle indicator (positive = bullish positioning, negative = bearish)
Zero Line: Neutral reference point
Interpretation
Cycle Alignment
Both positive: Risk-on environment, favorable for crypto
Both negative: Risk-off environment, caution warranted
Divergence: Potential opportunities or warning signals
Divergence Signals
Finance positive, Bitcoin negative: Bitcoin may be undervalued relative to macro conditions
Finance negative, Bitcoin positive: Bitcoin may be overextended or decoupling from traditional finance
Important Limitations
This indicator uses some technical and macro data but still has significant gaps:
⚠️ Limited monetary data - missing:
Funding rates (repo, overnight markets)
Comprehensive bond spread analysis
Collateral velocity and quality metrics
Central bank balance sheet details
⚠️ Basic economic coverage - missing:
GDP growth rates
Inflation expectations
Employment data
Manufacturing indices
Consumer confidence
⚠️ Simplified on-chain analysis - missing:
Exchange flow data
Whale wallet movements
Mining difficulty adjustments
Hash rate trends
Network fee dynamics
⚠️ No sentiment data - missing:
Fear & Greed Index
Options positioning
Futures open interest
Social media sentiment
The indicator provides a high-level cycle comparison but should be combined with comprehensive fundamental analysis, detailed on-chain research, and proper risk management.
Settings
Offset: Adjust the horizontal positioning of the indicators (default: 0)
Timeframe: Fixed at 21 days for optimal cycle detection
Use Cases
Macro-crypto correlation analysis: Understand when Bitcoin moves with or against traditional markets
Cycle timing: Identify potential tops and bottoms in both cycles
Risk assessment: Gauge overall market conditions across asset classes
Divergence trading: Spot opportunities when cycles diverge significantly
Portfolio allocation: Balance traditional and crypto assets based on cycle positioning
Technical Notes
Uses Z-score normalization with varying lookback periods (40-60 bars)
Applies HMA (Hull Moving Average) smoothing to reduce noise
Asymmetric multipliers for upside/downside movements in certain metrics
Requires access to FRED economic data, Glassnode, CoinMetrics, and IntoTheBlock feeds
21-day timeframe optimized for cycle analysis
Strategy Applications
This indicator is particularly useful for:
Cross-asset allocation - Decide between traditional finance and crypto exposure
Cycle positioning - Identify where we are in credit/debt cycles vs. Bitcoin cycles
Regime changes - Detect shifts in market leadership and correlation patterns
Risk management - Reduce exposure when both cycles turn negative
Disclaimer: This indicator is a cycle analysis tool and should not be used as the sole basis for investment decisions. It has limited coverage of monetary conditions, economic fundamentals, and on-chain metrics. The indicator provides directional insight but cannot predict exact timing or magnitude of market moves. Always conduct thorough research, consider multiple data sources, and maintain proper risk management in all investment decisions.
[Tradevietstock] Market Cycle Detector_Quantum Flux Best technical indicator to detect market cycles - Quantum Flux
Hello folks, it's Tradevietstock again! Today, I will introduce you to Quantum Flux Indicator, which can help you identify market cycle and find your best entry/exit effectively.
i. Overview
1. What is Market Cycle Detector_Quantum Flux?
The Quantum Flux Indicator is developed specifically to analyze and detect market cycles across a variety of asset classes. Whether you trade stocks, crypto, forex, or commodities, this indicator provides a consistent framework to track trends and time your positions.
2. Supported Markets:
Stock Market
Crypto Market
Commodities
Forex
You can apply the same cycle-based strategy across all these markets using QFI.
Depending on the platform you're using, here’s how you can start using Quantum Flux:
TradingView Users:
Once your invite is approved, the indicator will be added to your TradingView account. You can access it directly through the Indicators tab.
MT5 / Amibroker Users:
After your payment is completed, we will send you the QFI script. You can then import it manually into your MT5 or Amibroker trading platform.
ii. Setting Up the Indicator
1. Choose Your Setup
There are two ways to configure the Quantum Flux - The best indicator to detect market cycles
Default Setup (Recommended)
This includes both the Quantum Aroon and some of the Premium MACD signals. This full setup is ideal for traders who want a complete view of the market cycle with detailed signals. You just need to turn off the Premium MACD_Components as the image below
MACD-Only Setup
In this mode, the Quantum Aroon module is disabled. The indicator will rely solely on the Premium MACD Setting to generate signals. While this option is available, we recommend using the full setup for the most accurate performance.
2. Recognize the Market Cycle Phases
According to Tradevietstock’s theory , every trading asset typically moves through four distinct phases in a complete cycle:
Bearish Phase - Bear Market
First Bullish Wave - The Recovery
Strong Correction Phase
Final Bullish Wave
Quantum Flux generates visual and data-driven signals to help you time your trades accurately.
Green Dots: MACD crossover → Potential buy signal
Red Dots: MACD crossunder → Potential sell signal
Quantum Aroon Crossover: Confirms bullish trend or Buy Signals
Quantum Aroon Crossunder: Confirms bearish trend or Exit Signals
Green background: Extreme Bullish Phase
Red background: Extreme Bearish Phase
The Extreme Bullish/Bearish Phase is a unique feature of our system that enhances trading signals by capturing moments when the market moves aggressively—either in a strong uptrend or downtrend. This phase often represents the peak of Greed in bullish markets and Fear in bearish ones, offering a way to gauge market sentiment visually. The intensity of the background color helps interpret this: a bolder green indicates a more extreme bull market, while a deeper red signals an extreme bear market.
It's important to note that the Extreme Bullish/Bearish Phases are not direct entry or exit signals. Instead, they serve as enhancement signals that help traders make more informed decisions. These phases provide insight into whether it's wise to wait for additional confirmation before entering a trade, or to hold existing positions longer until clearer exit signals—like red dots or crosses—appear. By identifying the market's most intense emotional points, these signals help traders better align with momentum rather than react prematurely.
=> In summary, the Extreme Bullish/Bearish Phase provides valuable insight into market sentiment by highlighting emotional extremes, helping traders navigate aggressive trends with greater confidence. However, like all features in the indicator, its purpose is to complement, not replace, the core entry and exit signals—which are still based on crosses and dots. As always, green indicates bullish conditions, and red indicates bearish, but sentiment alone doesn't drive the trades—signals do.
3. The logic of the indicator and its trading strategy
Many traders are familiar with Wyckoff's theory, which, while foundational, can feel outdated and inefficient for real-life trading in today's fast-paced markets. It takes time to apply and may not be the most practical approach. That’s why many turn to day trading, but without the right tools and strategy, it can lead to account blow-ups.
The traditional market cycle consists of four stages: accumulation, markup, distribution, and markdown. While this is accurate, it's not always sufficient for modern trading. We need something more practical.
According to Tradevietstock's theory, the market cycle can be broken into four stages: a bear market, recovery, correction wave, and a bull market (the strongest uptrend). This new approach offers a shorter and more efficient timeline compared to Wyckoff's or other older cycle theories, making it a safer and more practical alternative to intraday trading.
To trade with market cycles, you need to remember these four stages:
Bearish Phase - Bear Market
First Bullish Wave - The Recovery
Strong Correction Phase
Final Bullish Wave
The logic for BUY/SELL (Entry/Exit) signals is built on a combination of crossover and crossunder events from the Quantum Aroon and Premium MACD indicators. Our Quantum Aroon is an enhanced version that applies a custom zero-lag smoothing function, making its trend signals more responsive and accurate than the traditional Aroon. It also includes a signal line for crossover alerts, along with visual enhancements like color-coded backgrounds, arrows, and gradient fills to highlight different market phases. Integrated with normalized MACD and RSI, it helps confirm signals and identify overbought or oversold conditions. Most importantly, it's aligned with Tradevietstock’s 4-phase market cycle—Bear Market, Recovery, Correction, and Bull Market—making it especially practical for real-world trading.
The Premium MACD differs from the standard version by introducing several key improvements. It normalizes the MACD line, signal line, and histogram for consistent interpretation across assets and timeframes, improving visual clarity. It also supports multi-timeframe analysis, allowing users to choose between the current chart resolution or a custom timeframe. The indicator includes color-coded histogram bars to show momentum changes and uses large dynamic circles to highlight crossover points.
=> These enhancements improve signal accuracy and make trend reversals easier to spot. Paired with the Quantum Aroon, it serves as a powerful confirmation tool within the Tradevietstock cycle framework.
4. Get to practice
In the example of NVDA, you can observe all four phases in action. For medium- to long-term traders, Phase 2 and Phase 4 usually present the strongest buying opportunities. Phase 1 and Phase 3 are accumulation phases — where prices are lower and preparations are made for the next bullish leg.
We can examine the following example to better understand Phase 1: The Bear Market . This phase only begins after a prior uptrend in the stock price . It’s crucial to remember that Phase 1 is not the start of the overall trend—it marks the reversal following a bullish run.
For instance, take the LMT stock: after a 50% rise, Quantum Flux displays a green background, indicating an 'Extreme Bullish Phase.' Once this bullish phase concludes, it sets the stage for a valid Phase 1—the beginning of the Bear Market.
The stock price declines sharply, triggering Quantum Flux to display a red background as the Aroon line crosses below the signal line.
Phase 1 concludes when we observe multiple crossover signals—most notably when the Aroon line crosses above the Signal line—and the red background, which signifies the Extreme Bearish Phase, disappears. Let's take a look at the image below:
Let’s move on to Phase 2: The Recovery. This phase follows the Bear Market—Phase 1. After a significant decline in the stock price, a recovery or pullback is expected.
Our signals for this phase include green dots and crosses, along with the confirmation signals that mark the end of Phase 1. This combination provides valid Buy signals and presents opportunities for mid-term investment strategies.
Phase 3 is a correction wave after the recovery . We also incorporate the cross and dot signals during this phase. In Phase 2, the strategy involves preparing to sell or take profits once the recovery phase matures. Whenever red dots or red crosses appear, they serve as indicators to consider taking profits, signaling the potential end of the upward move.
In Phase 3, known as the correction wave, the key objective is to take profits before the price begins to decline. This phase represents a temporary pullback following the recovery. Importantly, the end of Phase 3 often presents a strong buying opportunity—just before the onset of Phase 4, which is the strongest bullish wave. Whenever green dots and crosses appear at this stage, they serve as clear Buy signals, allowing us to position early for the upcoming bullish momentum.
Phase 4 is the strongest bullish wave—one that investors definitely don’t want to miss. Having entered at the end of Phase 3, the goal in Phase 4 is to maximize gains by targeting the highest highs.
During this phase, we closely monitor our exit signals, which include the appearance of red dots and red crosses, as well as the disappearance of the Extreme Bullish Phase indicator (green background). These signals help us lock in profits at the peak of the bullish momentum.
iii. Brief Conclusion on the Signals
End of Phase 1:
As Phase 1 nears completion, green dots start to appear. These serve as early entry signals, offering an opportunity to buy at lower prices before the trend reversal begins.
Phase 2 – Recovery:
Momentum begins to build during this phase. As it approaches its peak, red dots and Aroon line crossunders emerge—signaling that it's time to exit or reduce exposure in anticipation of a correction.
Phase 3 – Correction:
The indicator typically shows a red background, reflecting a bearish environment. This is a waiting phase—traders should remain cautious and avoid entering until green signals reappear.
Phase 4 – Strong Bullish Wave:
With the return of bullish signals (green dots, crosses, and green background), Phase 4 begins. After entering, the position is held to ride the strong momentum. Profit-taking signals include the appearance of red dots, red crosses, and the disappearance of the green background.
iv. Optimal Use by Market Type
Here’s how we suggest using QFI depending on what you trade:
Stocks: Best used on the Daily or Weekly chart for swing trades.
Cryptocurrency: Works well on BTC, ETH, or major altcoins using Daily and Weekly charts. Great for catching larger trend reversals.
CFDs and Forex: QFI is built for higher timeframes (H4, D1, W1), where it produces cleaner and more reliable signals.
Best Ways to Use It
🟢 Stocks
Works well on Weekly and Daily charts for swing entries
🟡 Crypto
Works best on Weekly and Daily charts
Good for trend-catching on BTC, ETH, or altcoins
🔴 CFDs
Designed with precision in mind — works on bigger timeframes, like H4, D1, and W1
The Quantum Flux Indicator is a flexible and powerful tool for anyone looking to navigate the full market cycle — from bottom to top and back again. With its ability to highlight key phases and generate timely signals, it becomes easier to plan your entries, hold through trends, and exit with confidence.
If you're serious about understanding market structure and improving your timing, Quantum Flux, the best Indicator to detect market cycles, can become a central part of your strategy — no matter what market you're in.
Bitcoin Cycles IndicatorBitcoin Cycles Indicator
The "Bitcoin Cycles Indicator" is designed to provide insights into the current market cycle of Bitcoin. It utilizes a combination of market cap real and total volume transfer to generate a visual representation of the market cycle.
Indicator Phases:
Cycle Lows (Green): Indicates potential low points in the cycle.
Under Valued (Aqua): Represents phases where Bitcoin might be undervalued.
Fair Market Value (Purple): Reflects periods considered to be at fair market value.
Aggressively Valued (Orange): Marks phases where Bitcoin might be aggressively valued.
Over Valued (Red): Suggests potential overvaluation of Bitcoin in the cycle.
Bitcoin Cycles can identify periods of increased risk when transaction behavior on-chain is indicative of major cycle highs. It also identifies areas of value opportunity where on-chain transaction behavior signals major cycle lows.
Historically, Bitcoin has exhibited cyclical behavior roughly every four years, coinciding with significant events known as "halvings."
While the historical correlation between Bitcoin's cycles and halving events is compelling, market dynamics are subject to change. Traders and investors should approach the market with a comprehensive strategy, incorporating multiple indicators and risk management techniques to navigate Bitcoin's evolving landscape.
Bitcoin PivotFind [BTC Cycle Tops & Bottoms Finder]What is PivotFind?
PivotFind is a custom indicator designed to track 30+ data points of different nature (technical, sentiment, macro, on-chain), and across multiple timeframes (from 1D to 60D), to detect the market conditions that may indicate the formation of potential Cycle Tops and Bottoms .
PivotFind's goal is to help you navigate Bitcoin's price movements and key happenings over its approximately 4-year cycles to help you craft a mid-term investment plan focused on the larger swings, rather than the shorter-term fluctuations.
What Does PivotFind Show/Do?
Market Phase Assessment and Visualization:
- Uses color-coded backgrounds (green for bull, red for bear, yellow for trend reversal) to show the current (assessed) market phase. Note that the price line itself changes color to reinforce the current phase identification.
- Helps you understand if we're in a uptrend, downtrend, or potentially changing direction (reversal), often an open question for traders, with a mid-term horizon
Cycle Top and Bottom Warnings:
- Places red dots above the price line to warn of potential cycle peaks.
- Shows green dots below the price line to indicate possible cycle bottoms.
These markers appear when multiple indicators reach certain thresholds, which historically have often coincided with significant market pivots (from bull to bear, or viceversa). Clusters of tops and bottom warnings are expected to appear at truly pivotal moments.
Parabolic Growth Signals:
- Displays upward arrows when conditions suggest potential for the rapid price increases that historically anticipated blow-off tops
- These signals are based on a combination of technical indicators and market sentiment reaching certain thresholds.
Altcoin Season Indicators:
- Marks with white diamonds the conditions that have historically led to "altseasons" (i.e. Altcoins overperforming BTC's growth rate).
- Based on factors like Bitcoin dominance decrease and certain altcoin performance metrics.
Fibonacci Retracement Bands:
Plots long-term support and resistance zones based on Fibonacci retracement levels.
These bands are calculated from previous major market highs and lows and shed light on the nature of short-term retracements in the context of major trends.
Price Scenario
PivotFind also provides reference price levels for the upcoming halving cycle, including potential thresholds for increased market interest (retail FOMO), possible overvaluation, and theoretical cycle peak ranges. These projections are based on historical data and should be considered as points of reference rather than definitive predictions.
Comprehensive Data Tables:
Right-side Table: Shows current cycle stage, Bitcoin/Altcoin market dominance percentages, and evaluates key economic factors (like inflation and interest rates) for their potential impact.
Bottom Table: Displays real-time values of over 30 key indicators, including RSI, MVRV ratio, and Fear & Greed Index.
Alerts
PivotFind offers you the ability to set up custom alerts (via the standard TradingView alert functionality) or receive automated notifications for significant market events. Despite its sophisticated analysis, PivotFind is designed to be user-friendly, with pre-set parameters that don't require complex adjustments.
How Does It Work?
PivotFind analyzes over 30 different indicators across multiple timeframes (from 1 day to 60 days), grouped into four main categories:
1. Technical Analysis:
Uses standard indicators like RSI, Stochastic RSI, Williams %R, Elliot Oscillator, TDI, and mean reversion concepts.
Looks for divergences between price and multiple indicators (like OBV, MFI, CCI, RSI, SRSI, MACD and others) to spot potential reversals.
2. Market Sentiment:
Incorporates the Crypto Fear & Greed Index (0-100 scale).
Tracks social media trends and influencer follower counts as a gauge of public interest.
3. Macroeconomic Factors:
Monitors inflation rates, interest rates, US rate yields, and money supply (M2) figures.
Tracks the U.S. Dollar Index (DXY) and bond market health through ETFs like TLT and HYG.
4. On-Chain Analytics:
Analyzes MVRV (Market Value to Realized Value) ratio to spot potential over/undervaluation.
Examines NUPL (Net Unrealized Profit/Loss) and active Bitcoin addresses.
PivotFind analyzes these indicators collectively, looking for significant correlations and confluences, to provide a view of the market's position within the 4-year cycle and spot the conditions for potential Cycle tops and bottoms (cycle pivots).
Who Is This For?
PivotFind may be particularly useful for:
- Long-term investors looking to optimize entry and exit points within the 4-year cycle
- Individuals who want to understand mid-term trends without engaging in daily analysis of multiple charts (due to lack of time and/or financial knowledge)
- Bitcoin Holders and miners planning their decisions around critical market pivot points
It's less suitable for scalpers, day-traders or those focused on short-term price movements.
Value Proposition
PivotFind simplifies market analysis by bringing together a wide range of indicators and data sources across different timeframes. It uses built-in logic to interpret these inputs within the context of Bitcoin's cycles, giving users an efficient way to spot potential major market shifts. This all-in-one approach helps make sense of complex market conditions and supports more informed decision-making.
Since Bitcoin’s broader cycle strongly influences the entire crypto market, PivotFind can also be useful for investors who are focused on Altcoins, not just Bitcoin.
Important Note (Disclaimer)
Past performance, and patterns, do not guarantee future results. Therefore, PivotFind should be used as one of many tools in your analysis. While the indicator provides a multi-faceted and multi-timeframe analysis of factors historically correlated with pivotal price shifts, it cannot predict future prices with certainty. It's a tool to help inform your decisions, not make them for you. Always conduct your own research and remember that all investments, especially in cryptocurrencies, involve risk.
Recommended Settings
PivotFinds works best on the 1D INDEX:BTCUSD chart (dark-mode, logarithmic scale).
This indicator is not publicly available and requires special access.
Market Cycles
The Market Cycles indicator transforms market price data into a stochastic wave, offering a unique perspective on market cycles. The wave is bounded between positive and negative values, providing clear visual cues for potential bullish and bearish trends. When the wave turns green, it signals a bullish cycle, while red indicates a bearish cycle.
Designed to show clarity and precision, this tool helps identify market momentum and cyclical behavior in an intuitive way. Ideal for fine-tuning entries or analyzing broader trends, this indicator aims to enhance the decision-making process with simplicity and elegance.
Clock&Flow: Elements of Cycle Analysis 2nd partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite
Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework.
The suite consists of two complementary modules:
🔹ECA 1 – Cycles, Structure, and Volatility (Overlay: True)
ECA 1 is dedicated to the structural and temporal analysis of the market.
Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to:
Index: Standard quotes (e.g., Cash sessions).
Future: Extended quotes (24h).
50-200: Classic institutional references for the medium-long term.
ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions.
Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context.
Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions.
🔹 ECA 2 – Market Excesses, Strength, and Energy
ECA 2 analyzes how the market moves within the cyclic structure.
Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle.
Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed.
Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors:
Price Velocity
Normalized Volume
Volatility (ATR relative to price)
These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement.
Operational Convergence
The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase.
When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation.
Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction.
Entries should always be accompanied by proper risk management.
––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa
Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo.
La suite è composta da due moduli complementari:
🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true)
ECA 1 è dedicato all’analisi strutturale e temporale del mercato.
SMA cicliche (ratio ciclica)
Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori).
Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo
Canali ciclici dinamici basati su ATR
I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR).
La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni.
Info Table e Quick Guide
Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso.
Time Bands (Weekly / Daily)
La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo.
––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato
ECA 2 analizza come il mercato si muove all’interno della struttura ciclica.
Eccessi e divergenze (Stochastic ciclico)
Oscillatore calibrato sulla stessa ratio ciclica della suite.
Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo.
Directional Movement System (DMS)
L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione.
L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa.
Market Pulse – Energia reale del mercato
Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione:
velocità del prezzo
volume normalizzato
volatilità (ATR rapportato al prezzo)
I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce.
La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista.
Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento.
La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato.
Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa.
È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato.
I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni.
In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione.
Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
Clock&Flow: Elements of Cycle Analysis 1st partClock&Flow – Elements of Cycle Analysis (ECA) | Complete Suite
Elements of Cycle Analysis (ECA) is an advanced cyclic analysis suite designed to interpret the market through time, structure, strength, and energy, combining cycles, volatility, and participation into a single operational framework.
The suite consists of two complementary modules:
🔹 ECA 1 – Cycles, Structure, and Volatility (Overlay: True)
ECA 1 is dedicated to the structural and temporal analysis of the market.
Cyclic SMAs (Cyclic Ratio) Moving averages are calibrated according to nominal cycles and timeframes to monitor multiple cycles simultaneously (from the lower cycle to the upper cycles). Crossovers between fast and slow SMAs certify the closing or transition of the cycle related to the faster SMA. The specific cycle is identified in the Info Table at the bottom right (for 15m - 1h - 2h - 1D timeframes). You can select the number of cycles to observe and the asset type to apply them to:
Index: Standard quotes (e.g., Cash sessions).
Future: Extended quotes (24h).
50-200: Classic institutional references for the medium-long term.
ATR-based Dynamic Cyclic Channels The channels represent a lower cycle and its upper counterpart; their width is determined by the observed timeframe and calculated based on average volatility (ATR). Volatility is not treated as noise but as a structural component of the cycle, essential for contextualizing excesses, compressions, and expansions.
Info Table and Quick Guide Dynamic tables automatically link SMAs, timeframes, and time cycles, providing an immediate reading of the current cyclic context.
Time Bands (Weekly / Daily) Temporal visualization helps identify cyclic pivots and rhythm transitions.
🔹 ECA 2 – Market Excesses, Strength, and Energy
ECA 2 analyzes how the market moves within the cyclic structure.
Excesses and Divergences (Cyclic Stochastic) An oscillator calibrated on the same cyclic ratio as the suite. Crossovers between the lower cycle (blue) and upper cycle (red) signal potential phase changes. In areas of excess, divergences often confirm the closing and restart of a cycle.
Directional Movement System (DMS) The ADX measures the strength of the movement, while +DI and -DI indicate direction. A simultaneous crossover of ADX, +DI, and -DI signals imminent acceleration, even before the strength is fully expressed.
Market Pulse – Real Market Energy The Market Pulse measures the amount of real energy moving through the market by relating three factors:
Price Velocity
Normalized Volume
Volatility (ATR relative to price)
These three factors are combined multiplicatively: if one is missing, the impulse weakens. The zero line represents a state of energy equilibrium; values above or below indicate a real imbalance (bullish or bearish). Note: Market Pulse is not a classic oscillator and should not be interpreted as overbought or oversold; it is used to evaluate the energetic quality of a movement.
Operational Convergence
The maximum operational effectiveness of the ECA suite is achieved when all modules converge on the same market phase.
When cyclic timing, volatility, price structure, trend strength, and movement energy align, the context signals a high-probability operational phase. The system is applicable to any timeframe or asset because it is not bound by dogmatic or subjective interpretations of technical or fundamental analysis; instead, it leverages what is actually happening in the market. Major chart patterns and Volume Profile (technically not includable in this specific suite) provide further confirmation.
Under these conditions, the signal does not originate from a single indicator but from the consistency of the entire system: time, volatility, and energy moving in the same direction.
Entries should always be accompanied by proper risk management.
––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
Clock&Flow – Elements of Cycle Analysis (ECA) | Suite Completa
Elements of Cycle Analysis (ECA) è una suite avanzata di analisi ciclica progettata per leggere il mercato attraverso tempo, struttura, forza ed energia, combinando cicli, volatilità e partecipazione in un unico framework operativo.
La suite è composta da due moduli complementari:
🔹 ECA 1 – Cicli, Struttura e Volatilità (overlay true)
ECA 1 è dedicato all’analisi strutturale e temporale del mercato.
SMA cicliche (ratio ciclica)
Le medie mobili sono calibrate in funzione dei cicli nominali e del timeframe per monitorare più cicli simultaneamente (dal ciclo inferiore fino ai cicli superiori).
Gli incroci tra SMA veloci e lente certificano la chiusura o transizione del ciclo correlato alla SMA più veloce. Il ciclo in questione è segnalato nella info table in basso a destra (per i time frame 15’ - 1h - 2h - 1D) Puoi selezionare il numero dei cicli da osservare e su quali asset applicarle (Index = quotazioni standard / Future = quotazioni estese / 50-200 i classici riferimenti istituzionali per il medio-lungo periodo
Canali ciclici dinamici basati su ATR
I canali rappresentano un ciclo inferiore e il suo superiore, l’ampiezza è data dal time frame osservato e calcolata sulla volatilità media (ATR).
La volatilità non è trattata come rumore, ma come componente strutturale del ciclo, utile per contestualizzare eccessi, compressioni ed espansioni.
Info Table e Quick Guide
Tabelle dinamiche collegano automaticamente SMA, timeframe e cicli temporali, fornendo una lettura immediata del contesto ciclico in corso.
Time Bands (Weekly / Daily)
La visualizzazione temporale aiuta a individuare pivot ciclici e transizioni di ritmo.
––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––––
🔹 ECA 2 – Eccessi, Forza ed Energia del Mercato
ECA 2 analizza come il mercato si muove all’interno della struttura ciclica.
Eccessi e divergenze (Stochastic ciclico)
Oscillatore calibrato sulla stessa ratio ciclica della suite.
Gli incroci tra ciclo inferiore (blu) e superiore (rosso) segnalano potenziali cambi di fase; in area di eccesso, le divergenze certificano spesso la chiusura e ripartenza del ciclo.
Directional Movement System (DMS)
L’ADX misura la forza del movimento, mentre +DI e –DI ne indicano la direzione.
L’incrocio simultaneo di ADX, +DI e –DI segnala un’accelerazione imminente, anche in assenza di forza già espressa.
Market Pulse – Energia reale del mercato
Il Market Pulse misura quanta energia reale sta attraversando il mercato mettendo in relazione:
velocità del prezzo
volume normalizzato
volatilità (ATR rapportato al prezzo)
I tre fattori sono combinati in modo moltiplicativo: se uno manca, l’impulso si indebolisce.
La linea dello zero rappresenta una condizione di equilibrio energetico; valori sopra o sotto indicano uno sbilanciamento reale, rialzista o ribassista.
Il Market Pulse non è un oscillatore classico e non va interpretato in termini di ipercomprato o ipervenduto: serve a valutare la qualità energetica del movimento.
La massima efficacia operativa della suite ECA si ottiene quando tutti i moduli convergono sulla stessa fase di mercato.
Quando tempi ciclici, volatilità, struttura del prezzo, forza del trend ed energia del movimento risultano allineati, il contesto segnala una fase ad alta probabilità operativa.
È applicabile su qualunque time frame o asset perché non è vincolato a dogmatiche e soggettive interpretazioni di analisi tecnica - fondamentale ma sfrutta ciò che realmente sta accadendo sul mercato.
I principali pattern grafici e il Volume Profile (in questa suite tecnicamente non inseribili) forniscono ulteriori conferme e/o indicazioni.
In queste condizioni il segnale non nasce da un singolo indicatore, ma dalla coerenza dell’intero sistema: tempo, volatilità ed energia si muovono nella stessa direzione.
Gli ingressi vanno sempre accompagnati da una corretta gestione del rischio.
Benner Cycles📜 Overview
The Benner Cycles indicator is a visually intuitive overlay that maps out one of the most historically referenced market timing models—Samuel T. Benner’s Cycles—directly onto your chart. This tool highlights three distinct types of market years: Panic, Peak, and Buy years, based on the rhythmic patterns first published by Benner in the late 19th century.
Benner's work is legendary among financial historians and cycle theorists. His original charts, dating back to the 1800s, remarkably anticipated economic booms, busts, and recoveries by following repeating year intervals. This modern adaptation brings that ancient rhythm into your TradingView workspace.
🔍 Background
Samuel T. Benner (1832–1913) was an Ohioan ironworks businessman and farmer who, after losing everything in the Panic of 1873, sought to uncover the secrets of economic cycles. His work led to the famous Benner's Cycle Chart, which forecasts business activity using repeatable intervals of panic, prosperity, and opportunity.
Benner’s method was based on a combination of numerological, agricultural, and empirical observations—not unlike early forms of technical and cyclical analysis. His legacy survives through a set of three rotating intervals for each market condition.
George Tritch was the individual responsible for preserving and publishing Samuel T. Benner’s economic cycle charts after Benner's death. While Benner was the original creator of the Benner Cycle, Tritch is known for reproducing and circulating the Benner chart in the early 20th century, helping it gain broader recognition among traders, economists, and financial historians.
🛠️ Features
Overlay Background Highlights shades the chart background to reflect the current year's cycle type
Configurable Year Range defines your own historical scope using Start Year and End Year
Fully Customizable Colors & Opacity
Live Statistics Table (optional) displays next projected Panic, Peak, and Buy years as well as current year’s market phase
Cycle Phase Logic (optional) prioritizes highlighting in order of Panic > Peak > Buy if overlaps occur
📈 Use Cases
Macro Timing Tool – Use the cycle phases to align with broader economic rhythms (especially useful for long-term investors or cycle traders).
Market Sentiment Guide – Panic years may coincide with recessions or major selloffs; Buy years may signal deep value or accumulation opportunities.
Overlay for Historical Studies – Perfect for comparing past major market movements (e.g., 1837, 1929, 2008) with their corresponding cycle phase. See known limitations below.
Forecasting Reference – Identify where we are in the repeating Benner rhythm and prepare for what's likely ahead.
⚠️ Limitations
❗ Not Predictive in Isolation: Use in conjunction with other tools.
❗ Calendar-Based Only: This indicator is strictly time-based and does not factor in price action, volume, or volatility.
❗ Historical Artifact, Not a Guarantee
❗ Data Availability: This indicator's historical output is constrained by the available price history of the underlying ticker. Therefore, it cannot display cycles prior to the earliest candle on the chart.
Dominant Cycle Detection OscillatorThis is a Dominant Cycle Detection Oscillator that searches multiple ranges of wavelengths within a spectrum. Choose one of 4 different dominant cycle detection methods (MESA MAMA cycle, Pearson Autocorrelation, Discreet Fourier Transform, and Phase Accumulation) to determine the most dominant cycles and see the historical results. Straight lines can indicate a steady dominant cycle; while Wavy lines might indicate a varying dominant cycle length. The steadier the cycle, the easier it may be to predict future events in that cycle (keep the log scale in mind when considering steadiness). The presence of evenly divisible (or harmonic) cycle lengths may also indicate stronger cycles; for example, 19, 38, and 76 dominant lengths for the 2x, 4x, and 8x cycles. Practically, a trader can use these cycle outputs as the default settings for other Hurst/cycle indicators. For example, if you see dominant cycle oscillator outputs of 38 & 76 for the 4x and 8x cycle respectively, you might want to test/use defaults of 38 & 76 for the 4x & 8x lengths in the bandpass, diamond/semi-circle notation, moving average & envelope, and FLD instead of the defaults 40 & 80 for a more fine-tuned analysis.
Muting the oscillator's historical lines and overlaying the indicator on the chart can visually cue a trader to the cycle lengths without taking up extra panes. The DFT Cycle lengths with muted historical lines have been overlayed on the chart in the photo.
The y-axis scale for this indicator's pane (just the oscillator pane, not the chart) most likely needs to be changed to logarithmic to look normal, but it depends on the search ranges in your settings. There are instructions in the settings. In the photo, the MESA MAMA scale is set to regular (not logarithmic) which demonstrates how difficult it can be to read if not changed.
In the Spectral Analysis chapter of Hurst's book Profit Magic, he recommended doing a Fourier analysis across a spectrum of frequencies. Hurst acknowledged there were many ways to do this analysis but recommended the method described by Lanczos. Currently in this indicator, the closest thing to the method described by Lanczos is the DFT Discreet Fourier Transform method.
Shoutout to @lastguru for the dominant cycle library referenced in this code. He mentioned that he may add more methods in the future.
deKoder | Business Cycle vs BitcoinThis indicator overlays Bitcoin's detrended momentum with the US ISM Manufacturing PMI (a key business cycle proxy) to visually dissect the relationship between crypto cycles and broader economic health.
Inspired by ongoing debates in crypto macro analysis (e.g., "Is there a 4-year halving cycle, or is it just the business cycle?" ), it highlights potential lead-lag dynamics - challenging the popular view that PMI strictly leads Bitcoin rallies and tops.
Key Features
• BTC Momentum Wave (Yellow/Orange Line):
Detrended deviation from Bitcoin's long-term "fair value" (24-month SMA).
Formula: ((close / sma(close, 24)) * 100 - 100) * 0.15
- Positive (yellow): BTC overvalued relative to trend | bullish momentum
- Negative (orange): Undervalued relative to trend | bearish momentum
• PMI Wave (Teal/Red Line):
ISM Manufacturing PMI centered at zero (raw PMI - 50, scaled ×3 for alignment).
- Positive (teal): Expansion (>50 raw) — economic tailwinds.
- Negative (red): Contraction (<50 raw) — headwinds, often linked to risk-off in assets.
• S&P 500 Momentum (White Line, Optional):
Similar deviation for SPX, showing how equities bridge BTC's volatility and PMI's smoothness.
• Divergence Highlights (Bar & Background Colors):
- Teal/Green Zones : BTC momentum positive while PMI negative → BTC signaling early recovery (potential lead by 1-3+ months at bottoms).
- Maroon/Red Zones : BTC momentum negative while PMI positive → BTC warning of rollovers (early bear signals).
- Neutral: No color — aligned cycles.
• Overlaid SMA on Price Chart :
24-month SMA for BTC (teal when price above, red when below) — quick fair value reference.
How to Interpret: Does BTC Lead the Business Cycle?
The chart flips the common meme ( "No 4-year cycle, it's just the business cycle" ) by visually emphasising BTC's potential as a forward-looking signal .
Historical cycles (2013–2025) show:
• BTC Leads at Bottoms : E.g., 2018–2019 and 2022 troughs — BTC momentum crosses positive 2–4 months before PMI, as speculative traders price in liquidity easing/recoveries ahead of manufacturing data.
• Coincident or BTC-Led at Tops : Peaks align closely (e.g., 2017, 2021), with PMI rollovers often coinciding or slightly leading the initial BTC euphoria fade. BTC then rolls over before PMI confirms later.
• Why? Markets are anticipatory (6–12 months forward), while PMI is a lagged survey snapshot. BTC, as a high-beta risk asset, amplifies early sentiment shifts before they hit factory orders/employment.
Inputs & Customization
• BTC Source (Default: BITSTAMP:BTCUSD)
• Fair Value MA Length (Default: 24 months)
• Show S&P (Default: False)
• PMI Multiplier (Default: 3.0)
• BTC Momentum Multiplier (Default: 0.15)
• Cap BTC Momentum at ±100 (Default: True)
• Toggle Early Cross Arrows, Bar/Background Deviation Colors, Difference Histogram
itradesize /\ Time Cycles x Zeussy supplementaryThis is a supplementary script to my previous itradesize /\ Time Cycles x Zeussy script. It should be displayed in a new pane.
This script will display the 30 and 90 AMD Time Cycles, along with the Asia, London, and New York AM & PM sessions in a new pane, based on the times taught by Zeussy.
You have the option to customize which cycles you would like to display, as well as the arrangement of the cycles based on the location of the pane (above or below the current chart).
The script can also be used for backtesting; just uncheck the 'Draw Today's Only' option.
Session timings are as follows:
Asia: 20:00 - 00:00
London: 02:30 - 07:00
NY AM: 07:00 - 11:30
NY PM: 11:30 - 16:00
London Cycles:
- 02:30 - 04:00
- 04:00 - 05:30
- 05:30 - 07:00
AM Cycles:
- 07:00 - 08:30
- 08:30 - 10:00
- 10:00 - 11:30
PM Cycles:
- 11:30 - 13:00
- 13:00 - 14:30
- 14:30 - 16:00
Time Cycles [TMU]Title: Time Cycles
Description:
This indicator is a comprehensive Time-Based Market Structure tool designed to segment the trading day into fixed temporal windows using New York Time logic. Unlike standard price-lagging indicators (like MA or RSI), this script focuses purely on Time and Price geometry, visualizing how price action behaves within specific 90-minute, 30-minute, and 10-minute intervals.
It is engineered to help traders visualize the "Time" component of the chart by projecting historical high/low ranges and key opening prices automatically using advanced array management.
Underlying Logic & Calculation
The script operates on a fixed time schedule (defaulting to America/New_York timezone) to generate three distinct layers of analysis:
1. The "Previous 90-Minute Cycle" Engine The script identifies fixed 90-minute blocks starting from 02:30 NY time.
Logic: At the close of each 90-minute window, the script records the Highest High and Lowest Low of that specific session .
Projection (PCH/PCL): These levels are projected forward into the next 90-minute window as static support/resistance zones (PCH - Previous Cycle High, PCL - Previous Cycle Low) using a "Step-Locked" mechanism that prevents repainting of the projected level.
Equilibrium (EQ): The script automatically calculates the 50% mean level between the PCH and PCL to highlight the premium/discount midpoint of the previous range.
2. Intraday Cycle Phases The indicator visualizes the fractal nature of time by highlighting specific 30-minute and 90-minute sessions.
Phases: The script categorizes sessions into three customizable structural phases: Accumulation (Blue), Manipulation (Red), and Distribution (Green). This helps traders identify the potential intent of price action within a specific time window.
Visualization: It draws background ranges based on hard-coded timestamps (e.g., 02:30–04:00 for the first London cycle) to visually segregate market phases.
3. Key Opening Price Anchors The script plots significant "Time Opens" that act as institutional reference points.
Midnight Open (00:00 NY): The exact opening price of the day.
09:30 Open: The standard US Equity Market Open price.
Weekly/Yearly Opens: Uses non-repainting request.security calls to fetch higher-timeframe open prices.
Cycle Open (C.O.): The opening price of the current 90-minute macro bucket.
Unique Features & Originality
This script implements custom algorithmic solutions to manage time-based data, distinguishing it from standard library indicators:
Custom 10-Minute Box Arrays: Unlike standard security calls, this script uses a box array system to capture and render 10-minute micro-structures (tenBoxes) directly on the chart. It calculates the High/Low of every 10-minute block dynamically and stores them in a rolling array to visualize sub-fractal structure without changing timeframes.
Object-Oriented Line Management: To optimize performance and maintain a clean chart, the script employs a custom User-Defined Type (type Lines). This allows for an advanced "garbage collection" method (manage_lines) that automatically trims, extends, or deletes opening lines based on the current time, ensuring that historical data does not clutter the workspace.
Predictive "Step-Locked" Projection: The code utilizes a logic state that locks the previous cycle's coordinates (prevCycHigh, prevCycLow) only upon the confirmed close of the session, projecting these specific coordinates forward using box.new rather than plot, allowing for precise, interactive visual blocks.
How to Use
PCH/PCL Boxes: Use the projected boxes from the previous 90m cycle as potential Support (PCL) or Resistance (PCH) for the current cycle.
EQ Line: The orange line represents the "Fair Value" of the previous range.
Settings: Users can toggle visibility for 30m cycles, 10m boxes, and opening lines independently to suit their strategy.
Disclaimer: This tool is for structural analysis and visualization of time windows. It does not guarantee future price movement. Past performance is not indicative of future results.
SemiCircle Cycle Notation PivotsFor decades, traders have sought to decode the rhythm of the markets through cycle theory. From the groundbreaking work of HM Gartley in the 1930s to modern-day cycle trading tools on TradingView, the concept remains the same: markets move in repeating waves with larger cycles influencing smaller ones in a fractal-like structure, and understanding their timing gives traders an edge to better anticipate future price movements🔮.
Traditional cycle analysis has always been manual, requiring traders to painstakingly plot semicircles, diamonds, or sine waves to estimate pivot points and time reversals. Drawing tools like semicircle & sine wave projections exist on TradingView, but they lack automation—forcing traders to adjust cycle lengths by eye, often leading to inconsistencies.
This is where SemiCircle Cycle Notation Pivots indicator comes in. Semicircle cycle chart notation appears to have evolved as a practical visualization tool among cycle theorists rather than being pioneered by a single individual; some key influences include HM Gartley, WD Gann, JM Hurst, Walter Bressert, and RayTomes. Built upon LonesomeTheBlue's foundational ZigZag Waves indicator , this indicator takes cycle visualization to the next level by dynamically detecting price pivots and then automatically plotting semicircles based on real-time cycle length calculations & expected rhythm of price action over time.
Key Features:
Automated Cycle Detection: The indicator identifies pivot points based on your preference—highs, lows, or both—and plots semicircle waves that correspond to Hurst's cycle notation.
Customizable Cycle Lengths: Tailor the analysis to your trading strategy with adjustable cycle lengths, defaulting to 10, 20, and 40 bars, allowing for flexibility across various timeframes and assets.
Dynamic Wave Scaling: The semicircle waves adapt to different price structures, ensuring that the visualization remains proportional to the detected cycle lengths and aiding in the identification of potential reversal points.
Automated Cycle Detection: Dynamically identifies price pivot points and automatically adjusts offsets based on real-time cycle length calculations, ensuring precise semicircle wave alignment with market structure.
Color-Coded Cycle Tiers: Each cycle tier is distinctly color-coded, enabling quick differentiation and a clearer understanding of nested market cycles.
Market Cycle Phases IndicatorOverview
The Market Cycle Phases Indicator is a powerful tool designed to help traders identify and visualize the different phases of market cycles. By distinguishing between Accumulation, Uptrend, Distribution, and Downtrend phases, this indicator provides a clear and color-coded representation of market conditions, aiding in better decision-making and strategy development. It is especially useful for long-term investors to observe and understand market cycles over extended periods. The phases are color-coded for easy identification: Green for Accumulation, Blue for Uptrend, Yellow for Distribution, and Red for Downtrend.
Key Features
Identifies four key market phases: Accumulation, Uptrend, Distribution, and Downtrend
Uses a combination of moving averages and volatility measures
Color-coded background for easy visualization of market phases
Adjustable parameters for moving average length, volatility length, and volatility threshold
Plots the moving average and Average True Range (ATR) for reference
Suitable for both short-term trading and long-term investing
Concepts Underlying the Calculations
The calculations behind the Market Cycle Phases Indicator are straightforward, combining the principles of moving averages and volatility measures:
Moving Average (MA): A simple moving average is used to determine the overall trend direction.
Average True Range (ATR): This measures market volatility over a specified period.
Volatility Threshold: A multiplier is applied to the ATR to distinguish between high and low volatility conditions.
How It Works
The indicator first calculates a moving average (MA) of the closing prices and the Average True Range (ATR) to measure market volatility. Based on the position of the price relative to the MA and the current volatility level, the indicator determines the current market phase:
Accumulation Phase: Price is below the MA, and volatility is low (Green background). This phase often indicates a period of consolidation and potential buying interest before an uptrend.
Uptrend Phase: Price is above the MA, and volatility is high (Blue background). This phase represents a strong upward movement in price, often driven by increased buying activity.
Distribution Phase: Price is above the MA, and volatility is low (Yellow background). This phase suggests a period of consolidation at the top of an uptrend, where selling interest may start to increase.
Downtrend Phase: Price is below the MA, and volatility is high (Red background). This phase indicates a strong downward movement in price, often driven by increased selling activity.
How Traders Can Use It
Traders can use the Market Cycle Phases Indicator to:
Identify potential entry and exit points based on market phase transitions.
Confirm trends and avoid false signals by considering both trend direction and volatility.
Develop and refine trading strategies tailored to specific market conditions.
Enhance risk management by recognizing periods of high and low volatility.
Observe long-term market cycles to make informed investment decisions.
Example Usage Instructions
Add the Market Cycle Phases Indicator to your chart.
Adjust the input parameters as needed:
Base Length: Default is 50.
Volatility Length: Default is 14.
Volatility Threshold: Default is 1.5.
Observe the color-coded background to identify the current market phase
Use the identified phases to inform your trading decisions:
Consider buying during the Accumulation or Uptrend phases.
Consider selling or shorting during the Distribution or Downtrend phases.
Combine with other indicators and analysis techniques for comprehensive market insights.
By incorporating the Market Cycle Phases Indicator into your trading toolkit, you can gain a clearer understanding of market dynamics and enhance your ability to navigate different market conditions, making it a valuable asset for long-term investing.
BTC Time CycleThis indicator helps track Bitcoin's historical four-year cycles by dividing time from market bottoms into Fibonacci-based segments, providing clear visual cues for potential bullish and bearish phases.
How It Works: This indicator overlays repeating Fibonacci-based time cycles onto weekly BTC charts , plotting vertical lines at key Fib ratios (0, 0.25, 0.382, 0.5, 0.618, 0.75, 1.0) to track cycle progress. Each cycle concludes at 1.0 and seamlessly resets as the next cycle's 0, capturing historical trough-to-trough intervals like those observed from 2018 to 2022. The week preceding the 0.75 Fibonacci ratio typically signals the cycle peak and bear market onset, transitioning through the final phase until 1.0 initiates a new cycle.
Disclaimer: This pattern has consistently repeated in past cycles, but financial markets are inherently unpredictable—it is not guaranteed to persist and remains valid only until disproven. Treat it as an analytical aid, not a predictive certainty.
This is merely a curiosity and is: True until it isn't™
Cycle-Synced Channel Breakout📌 Cycle-Synced Channel Breakout – Detect Breakouts Confirmed by Candles and Momentum Cycles
📖 Overview
The Cycle-Synced Channel Breakout indicator is a precision breakout detection tool that combines the power of:
• Adaptive Keltner Channels
• Dominant Cycle Period Analysis (Ehlers-inspired)
• Candlestick Pattern Recognition (Engulfing)
This multi-layered approach helps identify true breakout opportunities by filtering out noise and false signals, making it ideal for swing traders and intraday traders seeking high-probability directional moves.
⚙️ How It Works
1. Keltner Channel Envelope
A dynamic volatility channel based on the EMA and ATR defines the upper and lower bounds of price movement.
2. Engulfing Candle Detection
The script detects strong bullish and bearish engulfing patterns, which often signal trend reversals or momentum continuations.
3. Dominant Cycle Momentum (Ehlers-inspired)
Using a smoothed power oscillator derived from a detrended price series, the indicator assesses whether momentum is accelerating during the breakout — filtering out weak moves.
4. Signal Confirmation Logic
A signal is only shown when:
• An engulfing pattern is detected, and
• Price breaks out of the Keltner Channel, and
• Momentum (cycle power) is rising
5. Visual Feedback
• Breakout signals are plotted with “BUY” or “SELL” labels
• Faded green/red background highlights confirmed breakouts
• Optional display of engulfing candles with triangle markers
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🛠️ Key Features
• ✅ Adaptive Keltner Channels
• ✅ Bullish/Bearish Engulfing Candle Recognition
• ✅ Ehlers-style Cycle Momentum Confirmation
• ✅ Background highlights for confirmed breakouts
• ✅ Optional candle pattern visualization
• ✅ Lightweight and Pine v6 compatible
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🧪 Inputs
• Keltner Length – EMA period for channel basis
• Multiplier – Multiplied with ATR to determine band width
• Cycle Lookback – Used to calculate smoothed cycle power
• Show Engulfing Candles? – Toggles candlestick signals
• Show Breakout Signals? – Toggles breakout labels and backgrounds
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🧠 How to Use
• Look for “BUY” or “SELL” labels when:
• An engulfing candle breaks through the Keltner Channel
• Cycle momentum confirms strength behind the move
• The background color will faintly highlight the breakout direction.
• Use in combination with other trend or volume indicators for added confluence.
🔒 Notes
• This indicator is not repainting.
• It is designed for educational and research purposes only.
• Works across all timeframes and asset classes (stocks, crypto, forex, etc.)
Bitcoin Cycle High/Low with functional Alert [heswaikcrypt]Introduction
Just as machines are fine-tuned for maximum efficiency, trading indicators must evolve to meet the demands of ever-changing markets.
Credit goes to the initial author, @NoCreditsLeft I only improved the existing Pi-cycle indicator with a functional alert and included a bull mode indicator in the script. The alert can help you get a live alert at candle close when the cycle tops, bottoms, and the potential bull phase switch occurs.
Philip Swift’s Pi Cycle Top Indicator is a brilliant example of leveraging mathematical relationships to signal critical turning points in Bitcoin’s price cycles. Historically, it has identified market and local tops with some relative accuracy, often within three days, as demonstrated in all the previous bull run cycles.
At its core, the Pi Cycle Indicator derives its name from the mathematical constant π (pi), achieved by using simple moving averages (MAs) in a specific ratio: 𝜋 = Long MA/short MA
The Bull mode switch is calculated using a crossover of the short exponentia moving average and the long moving average.
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Knowing when Bitcoin reaches its top—and receiving timely alerts about it—is crucial for successful trading. The indicator is designed to signal;
Potential Bitcoin tops: Purple label
Potential Bitcoin bottoms : green Label, and
Parabolic swing : Yellow diamond shape (relating to the market switching to a potential bull mode)
"Please note: This indicator is tailored for Bitcoin using historical data analysis and should not be considered definitive. However accurate it might be."
Setting alerts
To set the alert conditions, select any alert function call to get alert whenever the conditions are met. The script is configured on dialy TF; you can set it on 1D or weekly TF.
Enjoy and Trade smartly
Lunar Cycle Tracker - (Moon + 3 Mercury Retrogrades)This script overlays the lunar and Mercury retrograde cycles directly onto your chart, helping traders visualize natural timing intervals that may influence market behavior.
Key Features:
🌑 New Moon & Full Moon Markers:
Vertical lines and labels indicate new and full moon events each month. You can fully customize their colors.
🌗 Last Quarter Moon Fill:
A soft pink background highlights the last quarter moon phase (from 7.4 days after the full moon to the next new moon).
🪐 Three Mercury Retrograde Zones:
Highlight up to three retrograde periods per year with customizable date inputs and background color. Great for spotting potential reversal or volatility windows.
Customization:
Moon event dates and colors
Manual input for Mercury retrograde periods (year, month, day)
Full compatibility with all timeframes (1H, 4H, daily, etc.)
Great for astro-cycle traders, Gann-based analysts, or anyone who respects time symmetry in the markets.
Fully customizable & works across all timeframes.
This tool was created by AngelArt as part of a larger astro-market model using lunar timing and planetary retrogrades for cycle-based market analysis.
Bitcoin Long Time Cycle Detection (RGB Box)Hi!
I tried to analyze bitcoin's cycles since the beggining at INDEX:BTCUSD (on 1D timeframe) using some tools like Moving Averages and Ichimoku Cloud and Fibonacci Levels based on ATH prices of each cyle. Each cycle type is represented by colors:
1- Green is when the price is going to have a new ATH compared to the last ATH
2- Red is when the price is going to move down from the last ATH
3- Blue is when the price seems not going down anymore and moving up go get to the last ATH
The result is very interesting because each cycle has similar behaviours. The Main cycle is when there is a Green, Red and Blue and then there will be a Green again for the new cycle.
Logic of detecting Red part some times makes a Red between two Green s (which is normal but it makes a bit difference in the behaviour of the last part of that shorter Red part) so the valuable part is the Blue !
You can see the interesting noticable similarity of the Blue 's price movement and duration (written in the boxes).
What I understood from this model about each part was:
In the Greens, strongest candles of the whole market appear with higher volumes. which are the shortest parts too.
in the Reds, we see a lot of hammer candles here, price moves down step by step (unless it is going to have a NEW ATH which makes the duration of Red part vert shorter than the main Red parts before the Blue). Temporary resistances make some range channels but finally the price will go down a lot!
in the Blues, the main weak uptrend from the bottom which is finally going to see its last ATH price, but very slowly and weakly compared to the Green part. Some times there will be a lot of temporary downtrends too but in the end, price is going up. this part maybe the best time to buy for long time holding.
What makes this model interesting is that cycles match fundamental events like HALVING and periodic cycle analyses based on that.
In the last cylce we haven't seen the Blue Signal yet! so there should be alot of more patient till we say there will be no more down.
I hope it gives you more insight on the long term trend of crypto. I would be glad to hear your ideas to improve the model.
