Bullish Trending
Sustained upward price movement where trend-following strategies excel.
Momentum begets momentum as buyers dominate the narrative.
Market Regime Detector
The Adaptive Market Oracle
Section titled “The Adaptive Market Oracle”Like a sage reading the wind patterns across mountain peaks, the Market Regime Detector perceives the subtle rhythms that govern market behaviour. This oracle of market consciousness identifies whether prices flow in trending rivers or oscillate in cyclic tides, enabling traders to harmonise their strategies with the market’s deeper nature.
Building upon the mathematical foundations of digital signal processing methods, it employs consensus-based detection to ensure your trading approach aligns with the market’s true character—embodying our core value of multilayered resilience through diverse analytical perspectives.
As the Market Context Provider, the Market Regime Detector serves as the strategic foundation of the GYTS TradingView Suite. It continuously analyses market behaviour to identify the current regime (trending or cyclic), which then informs the Order Orchestrator to adapt strategy selection accordingly.
Hover over components to see details. Lines indicate data flow between components.
What is Market Regime Detection?
Section titled “What is Market Regime Detection?”Market regime detection is the process of identifying the current behavioural state of a financial market. Markets don’t behave uniformly — they cycle between periods of strong directional movement (trending) and periods of oscillation around a mean (ranging or cyclic). Recognising which regime currently dominates is crucial for selecting appropriate trading strategies and managing risk effectively.
Core Architecture
Section titled “Core Architecture”The Market Regime Detector processes market data through five distinct stages:
- Market Data Input captures price information and dominant cycle detection
- Multi-Method Analysis applies five complementary detection algorithms (Pro Edition) or two (Community Edition)
- Consensus Processing combines method outputs using sophisticated voting mechanisms
- Regime Classification determines the current market state with mathematical precision
- Visual & Stream Output provides both visual feedback and data streams for system integration
Each stage contributes to a robust detection system that minimises false transitions whilst maintaining responsiveness to genuine market shifts. The consensus approach ensures no single method can trigger spurious regime changes, creating stability without sacrificing adaptability.
The Three Market States
Section titled “The Three Market States”Markets perpetually shift between distinct behavioural regimes, each demanding fundamentally different trading approaches:
Bearish Trending
Persistent downward pressure requiring defensive positioning.
Short strategies and capital preservation take precedence.
Cyclic (Range-Bound)
Oscillating price action between boundaries.
Mean-reversion strategies thrive whilst trend-following approaches struggle.
Core Innovations
Section titled “Core Innovations”The Market Regime Detector transforms subjective market analysis into quantitative science through automatic dominant cycle detection and multi-method consensus . Unlike traditional indicators that rely on fixed parameters, it adapts dynamically to evolving market rhythms.
Automatic Dominant Cycle Detection Goemon Warrior
Section titled “Automatic Dominant Cycle Detection ”At the heart of the Professional Edition lies our proprietary dominant cycle detection algorithm. Rather than requiring manual input of cycle periods, the system automatically identifies and adapts to the market’s natural rhythm in real-time, ensuring your analysis always aligns with current market conditions.
Five-Method Consensus Architecture
Section titled “Five-Method Consensus Architecture”The Professional Edition employs five complementary detection methods, each analysing different market dimensions:
The following diagrams illustrate how the Market Regime Detector processes market data to determine the current regime. Choose between the high-level overview for quick understanding or the comprehensive diagram for detailed technical context.
- Market Data Input: Price data feeds into the dominant cycle detector and all five analytical methods.
- Dominant Cycle Detection: Automatic adaptation to market rhythm (Pro) or manual input (CE).
- Five-Method Analysis: Each method independently evaluates market conditions:
- Cyclic Centroid Analysis : Calculates the market’s ‘center point’ over its dominant cycle and measures price displacement to determine trend or equilibrium.
- Spectral Momentum : Measures momentum across the market’s frequency spectrum to identify trend concentration.
- Energy Distribution Gauge : Gauges how price movement energy is distributed to flag cyclic or trending states.
- Volatility Channel : Models the market’s volatility state, using band breakouts to indicate a trend.
- Phase Coherence Detector : Analyses phase relationships between adaptive low-pass filters to detect trend stability and identify early regime shifts.
- Consensus Processing: Methods vote on the market state using the selected consensus mode.
- Regime Output: Final determination of Bullish (1), Bearish (-1), or Cyclic (0) state.
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Input Processing:
- Source selection (Close, HL2, HLC3, or custom indicator)
- Noise reduction whilst preserving market dynamics
- Automatic cycle detection (Pro) or manual input (CE)
-
Method-Specific Analysis:
- Cyclic Centroid Analysis: Price position analysis relative to adaptive average.
- Spectral Momentum: Dual filter differential analysis.
- Energy Distribution Gauge: Frequency domain energy analysis.
- Volatility Channel: Adaptive band breakout detection.
- Phase Coherence Detector: Phase-based adaptive low-pass filters.
-
Strength Calculation:
- Each method outputs normalised strength values
- Positive values indicate bullish bias
- Negative values indicate bearish bias
- Near-zero values suggest cyclic conditions
-
Consensus Mechanisms:
- Any (OR): Triggers on first detection
- All (AND): Requires unanimous agreement
- Weighted: Equal influence from all methods
- Strength-Weighted: Stronger signals get more influence
-
Visual Output:
- Consensus Mode: Discrete colours (Purple/Pink/Yellow)
- Unconstrained Mode: Gradient based on regime strength
- Integer stream output for Order Orchestrator integration
Step-by-Step Configuration Guide
Section titled “Step-by-Step Configuration Guide”The Market Regime Detector’s configuration is elegantly simple yet powerful, distilling complex market analysis into three intuitive parameter groups. Unlike indicators with dozens of settings, this focused approach ensures you can quickly optimise for your specific market and trading style.
🎭 Group 1: Regime Settings
Section titled “🎭 Group 1: Regime Settings”The heart of the detector—three elegantly simple parameters that control all five detection methods simultaneously.
🏎️ Adaptability (Low-Frequency Control)
Section titled “🏎️ Adaptability (Low-Frequency Control)”Controls how quickly the detector responds to changing market conditions. This parameter affects the lookback periods and filter parameters across all five detection methods:
| Setting | Behaviour | Best For |
|---|---|---|
| Very Low | Maximum stability, rare regime changes | Major trend identification |
| Low | Conservative adaptation | Position trading |
| Normal | Balanced responsiveness (default) | General purpose |
| High | Quick adaptation to new conditions | Swing trading |
| Very High | Rapid response, frequent updates | Scalping/testing |
🍃 Sensitivity (High-Frequency Control)
Section titled “🍃 Sensitivity (High-Frequency Control)”Determines the conviction threshold for regime transitions. This parameter controls the detection thresholds across all methods:
| Setting | Threshold Behaviour | Signal Frequency |
|---|---|---|
| Very Low | Requires overwhelming evidence | Rare, high-conviction signals |
| Low | Conservative detection | Fewer false positives |
| Normal | Balanced approach (default) | Moderate frequency |
| High | Detects subtle changes | More responsive |
| Very High | Hair-trigger detection | Maximum signals |
Practical Regime Examples
Section titled “Practical Regime Examples”To truly grasp the power of these settings, let’s observe their impact on a GBP/USD 4-hour chart. The 🏎️ Adaptability and 🍃 Sensitivity settings are your primary controls for adjusting how the detector perceives market changes.
Example: A Stable, Long-Term View
Section titled “Example: A Stable, Long-Term View”
Analysis:
- With Adaptability and Sensitivity set to “Normal” or “Low”, the detector provides a high-level, stable view of the market.
- The background is dominated by large, contiguous blocks of pink (bearish) and yellow (cyclic). This configuration is excellent for position traders who want to confirm the primary trend and avoid being shaken out by minor corrections.
- Notice how the brief counter-trend rallies are correctly identified as cyclic phases (yellow) within the broader bearish (pink) regime, rather than triggering a premature bullish signal.
Example: A Responsive, Short-Term View
Section titled “Example: A Responsive, Short-Term View”
Analysis:
- On the exact same chart, increasing the Adaptability and Sensitivity to higher settings transforms the output.
- The regime changes are more frequent and responsive. The detector now picks up smaller counter-trends, briefly flagging them as bullish (purple).
- This setup is ideal for swing traders or scalpers who need to react quickly to short-term shifts in momentum and can profit from smaller market oscillations. The trade-off is a higher potential for “noise” or false signals compared to the stable configuration.
🤝 Consensus Mode
Section titled “🤝 Consensus Mode”Defines how the five detection methods combine their signals. Each mode has distinct characteristics:
| Mode | Logic | Best For |
|---|---|---|
| Any Method (OR) | Most sensitive — triggers when any method detects a regime | Quick response trading |
| All Methods (AND) | Most conservative — requires unanimous agreement | High-conviction trades |
| Weighted Decision | Democratic voting with equal weighting | Balanced approach (default) |
| Strength-Weighted Goemon Warrior | Stronger signals get more influence | Adaptive precision |
🎛️ Group 2: General Settings
Section titled “🎛️ Group 2: General Settings”The foundation of your market regime analysis begins with selecting the appropriate data source and display preferences.
Key Settings Explained:
-
💧 Source: Determines which price data feeds into the detector
- Close (default): Standard choice for most analysis
- HL2 (High + Low / 2) and others: Reduces gap influence, smooths intraday volatility
- Custom Indicator: Advanced option for feeding external oscillators or custom calculations
-
🎨 Display Mode: Controls how regime information is visualised. This choice depends on whether you need clear, binary signals or a more nuanced, continuous view of market strength.
- Consensus Only: Discrete colours (purple/pink/yellow) with clear boundaries
- Best for: Clear actionable signals, strategy automation
- Shows: Binary regime states without ambiguity
- Unconstrained Regime: Gradient display showing regime strength continuously
- Best for: Discretionary trading, understanding market transitions
- Shows: Strength values from -1 to +1 mapped to colour gradient
- Consensus Only: Discrete colours (purple/pink/yellow) with clear boundaries
Example: Clarity with “Consensus Only” Mode
Section titled “Example: Clarity with “Consensus Only” Mode”
Analysis:
- The default “Consensus Only” Display Mode paints the background with solid colours: purple for bullish, pink for bearish, and yellow for cyclic.
- This mode provides a definitive, binary output. The market is either in one state or another. This is the exact data stream sent to the Order Orchestrator, making it perfect for backtesting and automating regime-aware strategies. It removes ambiguity, providing clear entry and exit conditions based on the detected regime.
Example: Precision with “Unconstrained Regime” Mode
Section titled “Example: Precision with “Unconstrained Regime” Mode”
Analysis:
- Switching to “Unconstrained Regime” Display Mode reveals the underlying continuous strength of the regime consensus.
- Instead of solid blocks, you see smooth gradients. A deep, rich purple indicates a strong, high-conviction bullish trend. As the trend weakens, the colour fades, potentially transitioning through white (neutral/transitional) before shifting to pink for a bearish regime.
- This mode is great for discretionary traders. It allows you to gauge not just the state of the market, but also its conviction. A fading colour can be an early warning that a regime is losing momentum, offering a chance to tighten stops or take profits before a full reversal.
The unconstrained mode reveals granular market transitions through colour intensity—darker shades indicate stronger regime conviction whilst lighter tones suggest potential transitions.
🎨 Group 3: Colour Settings
Section titled “🎨 Group 3: Colour Settings”Customise the visual representation to match your preferences or improve visibility. The colour system supports both discrete and gradient display modes.
Customisation Options:
- Use Custom Colours: Override default GYTS palette (Purple/Pink/Yellow)
- Transparency: 0-100% opacity control (default: 85%)
- Gradient System (Unconstrained mode only):
- Bullish: Strong → Medium → Weak → Very Weak
- Bearish: Strong → Medium → Weak → Very Weak
- Cyclic: Single colour for range-bound markets
🔄 Dominant Cycle: The Market’s Heartbeat
Section titled “🔄 Dominant Cycle: The Market’s Heartbeat”The dominant cycle represents the market’s natural rhythm — the average period between successive peaks or troughs. This fundamental frequency drives all calculations within the detector.
Algo Apprentice — Static Cycle Input
Requires manual specification of the dominant cycle period:
-
Visual Observation
- Count bars between price peaks or troughs
- Look for repeating patterns in oscillators
- Average multiple observations for stability
-
Starting Points by Market
- Forex Majors: 25-35 bars typically
- Cryptocurrencies: 20-30 bars (higher volatility)
- Stock Indices: 30-40 bars (more stable)
- Commodities: 25-40 bars (varies by instrument)
-
Fine-Tuning Process
- Start with recommended range
- Observe regime stability over time
- Adjust ±5 bars for optimal detection
- Document settings for each instrument
Goemon Warrior — Dynamic Adaptation
The Professional Edition uses proprietary algorithms to continuously identify and adapt to the dominant market cycle:
Key Advantages:
- Self-Calibrating: Adapts to market structure changes automatically
- No Manual Input: Completely autonomous operation
- Smooth Transitions: Gradual adjustment prevents whipsaws
- Multi-Timeframe: Works across all chart periods
The system analyses market behaviour patterns to determine the natural rhythm without requiring manual cycle period input. This ensures your analysis always aligns with current market conditions rather than historical assumptions.
Integration with other GYTS Indicators
Section titled “Integration with other GYTS Indicators”Connection Process
Section titled “Connection Process”- Add Market Regime Detector to your chart
- Configure detection parameters based on your market
- Add Order Orchestrator to the same chart
- Select Market Regime Source in Order Orchestrator:
- Choose ”🔗 STREAM-int 🧊 Market Regime”
- Configure regime-specific strategies:
- Trending strategies for bullish/bearish
- Cyclic strategies for range-bound markets
Practical Usage
Section titled “Practical Usage”Market-Specific Configurations
Section titled “Market-Specific Configurations”Volatile Market Settings
- Adaptability: High to Very High
- Sensitivity: Low to Normal
- Consensus: Any Method (OR)
- Cycle: 20-30 bars typically
Crypto’s volatility requires responsive adaptation with conservative sensitivity to avoid whipsaws.
Stable Market Settings
- Adaptability: Normal
- Sensitivity: Normal to High
- Consensus: Weighted
- Cycle: 25-35 bars typically
Forex pairs benefit from balanced settings with slightly elevated sensitivity for cleaner trends.
Trending Market Settings
- Adaptability: Low to Normal
- Sensitivity: Normal
- Consensus: All Methods (AND)
- Cycle: 30-40 bars typically
Indices favour stability with conservative consensus to capture sustained directional moves.
Trading Strategy Applications
Section titled “Trading Strategy Applications”Tactical Adjustments:
- Favour long positions
- Use wider trailing stops
- Buy dips within uptrends
- Hold winners longer
- Increase position sizes on strength
- Focus on breakout patterns
Defensive Positioning:
- Consider short positions
- Tighten stop losses
- Sell rallies
- Reduce overall exposure
- Implement hedging strategies
- Watch for breakdown patterns
Range-Trading Tactics:
- Trade from boundaries
- Use oscillator confirmations
- Take profits at extremes
- Fade breakout attempts
- Reduce position sizes
- Focus on mean reversion
Professional Edition Features
Section titled “Professional Edition Features”| Feature | Algo Apprentice | Goemon Warrior |
|---|---|---|
| Detection Methods | ||
| Total Detection Methods | 2 | 5 |
| ML Tuning | ||
| Cyclic Centroid Analysis | ||
| Volatility Channel | ||
| Spectral Momentum | ||
| Energy Distribution Gauge | ||
| Phase Coherence Detector | ||
| Cycle Analysis Framework | ||
| Cycle Measurement | User-defined constant | Proprietary algorithm |
| Dominant Cycle Input | Manual | Automatic detection |
| Cycle Adaptation | Static period | Continuous adaptation |
| Consensus Mechanisms | ||
| Any Method (OR) | ||
| All Methods (AND) | ||
| Weighted Decision | ||
| Strength-Weighted Decision | ||
| Consensus Threshold Control | Fixed | Dynamic weighting |
| Performance & Accuracy | ||
| False Signal Rate | Moderate | Significantly lower |
| Detection Accuracy | Good (2 methods) | Superior (5 methods) |
| Regime Transition Smoothness | Standard | Enhanced |
| Cross-Market Generalisation | Limited | Enhanced |
Best Practices
Section titled “Best Practices”Configuration Strategy by Trading Style
Section titled “Configuration Strategy by Trading Style”Position Trading
Settings: Very Low adaptability, Low sensitivity, All Methods consensus
Focus on major regime shifts only. Let winners run in trending regimes, reduce exposure in cyclic periods.
Swing Trading
Settings: Low adaptability, Normal sensitivity, Weighted consensus
Balance stability with responsiveness. Use regime context for position sizing and stop placement.
Day Trading
Settings: High adaptability, High sensitivity, Any Method consensus
Quick regime recognition for intraday opportunities. Switch strategies based on current regime.
Multi-Timeframe
Settings: Use multiple instances with different parameters
Higher timeframe for bias, lower timeframe for timing. Ensure parameter consistency across timeframes.
Common Pitfalls to Avoid
Section titled “Common Pitfalls to Avoid”Troubleshooting Guide
Section titled “Troubleshooting Guide”Too Many Regime Changes
- Symptom: Rapid flipping between regimes
- Solution:
- Decrease Sensitivity (try Low or Very Low)
- Switch consensus to “All Methods”
- Increase Adaptability for stability
- Root Cause: Parameters too responsive for market conditions
Delayed Regime Detection
- Symptom: Misses obvious trend starts
- Solution:
- Increase Sensitivity gradually
- Use “Any Method” consensus
- Consider decreasing Adaptability
- Root Cause: Conservative parameters filtering valid signals
Stuck in One Regime
- Symptom: Rarely changes despite market shifts
- Solution:
- Check dominant cycle setting (CE)
- Reduce Adaptability setting
- Verify source data is updating
- Root Cause: Parameters too stable or cycle mismatch
No Background Colour
- Check indicator is set to overlay
- Ensure not hidden behind other indicators
- Verify colour transparency isn’t 100%
Gradient Not Showing
- Switch to “Unconstrained regime” display
- Check custom colours are configured
- Ensure transparency allows visibility
Colour Conflicts
- Use custom colour settings
- Adjust transparency for layering
- Consider using bar colours only
Order Orchestrator Not Reading
- Verify stream name matches exactly
- Check both indicators on same chart
- Ensure no indicator errors present
Incorrect Regime Values
- Confirm output stream selected correctly
- Check for integer values: 1, -1, 0
- Verify no NA values in output
Performance Problems
- Reduce calculation history if needed
- Disable unused visual elements
- Consider using CE for simpler calculation
Next Steps
Section titled “Next Steps” Connect with Order Orchestrator Enable regime-adaptive strategies that automatically adjust to market conditions
Combine with Signal Providers Use regime context to filter and enhance signal quality
Study Complete Integration Follow our comprehensive guide for full GYTS suite setup
“The market speaks in three tongues—trending up, trending down, or cycling in contemplation. The wise trader listens before acting, adapting strategy to the market’s voice rather than imposing will upon chaos.”