Flux Composer

Advanced Signal Aggregation Hub

Signal Aggregator

The Flux Composer orchestrates harmony from chaos — transforming multiple signal streams into unified trading intelligence. Drawing inspiration from ensemble learning in machine learning and signal processing theory, it weighs signal quality, recency, and agreement to reveal moments when market forces align.

The Flux Composer is the heart of our TradingView Suite:

Hover over components to see details. Lines indicate data flow between components.

The Flux Composer employs advanced temporal decay models to ensure recent signals carry appropriate weight, whilst sophisticated confluence mechanisms filter noise and amplify conviction.

Note

In all our documentation, we use the the Professional Edition indicators (with the [GYTS-Pro] prefix on TradingView) to show all capabilities and have a smooth storyline. Features that are exclusive to the Professional Edition and thus not available in the Community Edition (CE) are clearly marked with a ⚔️ Goemon Warrior badge. Otherwise you can assume the CE works the same throughout our documentation website. In Professional Edition Features, we highlight the differences between CE and Pro next to each other.

The Poetry of Signal Aggregation

Unlike traditional indicators that provide binary signals, the Flux Composer processes the quality and strength of signals over time. This continuous approach mirrors how skilled traders naturally process information — weighing recent developments more heavily whilst allowing older signals to gracefully fade.

Core Capabilities

Multi-Providers

Aggregates up to 8 Signal Provider streams in Professional Edition, creating rich analytical tapestries from diverse market perspectives.

Temporal Decay

Advanced mathematical models ensure signal relevance diminishes naturally over time, preventing stale information from contaminating fresh insights.

Confluence Mechanisms

Four sophisticated processing methods transform raw signal aggregations into discriminating, actionable flux measurements.

Filter Architecture

Dual-layer signal processing where some providers act as gatekeepers for others.

Core Architecture

The Flux Composer processes signals through five distinct stages:

1. Signal Provider generates continuous strength signals (e.g. GDM, QMC)
2. Decaying Functions apply mathematical decay models based on signal age and original strength
3. Flux Aggregation combines all decayed signals into raw flux values
4. Confluence Mechanisms transform raw flux using sophisticated mathematical processing
5. Trading Signals emerge as buy/sell triangles when thresholds are crossed

Each stage serves a specific purpose in transforming raw market data into actionable intelligence. Signal Providers contribute GDM and QMC streams, which undergo temporal weighting through intensity and decay controls. The aggregated flux then passes through one of four confluence mechanisms—from simple amplitude compression to our proprietary GYTSynthesis—before generating final trading signals.

High-Level Process Flow

1. Signal Providers: Other indicators, i.e. Signal Providers like WaveTrend 4D, generate continuous signal streams that feed into the Flux Composer.
2. Signal Processing: The Flux Composer applies intensity controls and decay rates to weight signal importance over time
3. Flux Aggregation: All processed signals are mathematically combined into unified flux values
4. Confluence Processing: Advanced mechanisms (like GYTSynthesis) transform raw flux for better signal discrimination
5. Threshold Processing: Compares flux values against configurable thresholds to determine when signals should trigger
6. Output Generation: Produces trading signals (buy/sell triangles) and output streams for e.g. Order Orchestrator integration

Comprehensive Diagram

Here’s the comprehensive breakdown:

1. Signal Providers (External Indicators): Up to four other indicators, i.e. Signal Providers like WaveTrend 4D, generate continuous signal streams that feed into the Flux Composer.

2. Decaying Functions: Each signal from the streams passes through a customisable decay function that controls its initial strength (Intensity) and how quickly it fades over time (Decay Rate). The results are individual, continuous, decayed signals.

3. Signal Categorisation: The decayed signals are categorised into one of two paths: the main ‘Signal’ path for generating trades, or the ‘Filter’ path for validating them (Professional Edition only).

4. Flux Aggregation: All signals within a category are mathematically combined into a single raw ‘Flux’ value, representing the total bullish or bearish pressure.

5. Confluence Processing: The raw flux undergoes a transformation using one of four mathematical mechanisms (e.g., Amplitude Compression, GYTSynthesis) to improve signal clarity and discrimination.

6. Threshold Processing: The transformed flux value is compared against user-defined upper (bullish) and lower (bearish) thresholds.

7. Final Signal Generation: A trading signal is generated when the Signal Flux crosses a threshold, provided it passes a validation check against the Filter Flux (if used).

8. Output Streams: The Flux Composer generates multiple outputs: visual signals on the chart, alert conditions (though Order Orchestrator is recommended for advanced execution), and data streams for use by other indicators like the Order Orchestrator.

Signal Categories

Signal Flux

The primary output that generates trading signals when crossing upper (bullish) or lower (bearish) thresholds. This represents the core analytical consensus.

Filter Flux

⚔️ Goemon Warrior Professional Edition Only: Acts as a gatekeeper, allowing Signal Flux signals only when filter conditions are met. Provides additional layer of signal validation.

Decaying Functions & Visualisation

The brilliance of the Flux Composer lies in its treatment of signal relevance over time. Each signal undergoes transformation through our proprietary decay function , which you can visualise in real-time to understand and optimise your signal processing.

Core Parameters

Intensity: Controls the initial peak strength of signals

• very_low → very_high
• Scales the starting amplitude based on signal importance
• Higher intensity = stronger initial signal contribution

Decay: Controls how quickly signals lose relevance

• very_fast → lethargic
• Balances between responsive adaptation and signal persistence
• Faster decay = more responsive but shorter-lived signals

Note

The decay function accounts for both the time elapsed since the signal AND the original signal quality, creating nuanced persistence patterns. Strong signals naturally persist longer than weak ones.

Understanding Through Visualisation

Enable “Show decaying function” in the visualisation settings to see exactly how each signal contributes to your flux calculations:

Visual Elements

• Coloured Columns: Each signal type has a unique colour
  • Blue shades: GDM normal signals
  • Green/Purple: GDM slow signals
  • Orange: QMC normal signals
  • Yellow: QMC slow signals
  • Light yellow: QMC lethargic signals
• Column Height: Current signal strength after decay
• Decay Profile: Watch columns shrink over time following each signal

Tip

Developing intuition for decay functions is crucial for optimisation. Use the visualisation feature frequently during setup to understand how your parameter choices affect signal persistence and flux generation.

Signal Strength Impact

The Flux Composer's decaying functions account for the quality/strength of the input signal, instead of using simple buy/sell signals. In this example, both signals (the triangles in WaveTrend 4D) have the same settings in Flux Composer's decay functions. But you clearly see that the stronger signal (triangle farther away from zero) have a greater intensity.

Intensity Parameter in Action

Intensity parameter comparison showing how different settings affect signal processing. From top to bottom: `intensity = very low`, `normal`, and `very high`. From left to right, the input signals that start with maximum strength and decrease in each time. Notice how higher intensity creates stronger, more pronounced decaying signal (the histogram) to the same input signals (thus when comparing vertically). All examples use normal decay rate with and `GYTSynthesis` confluence mechanism (notice how the Flux is the same when comparing vertically, due to its automatic normalisation).

Decay Rate Effects

Decay rate parameter comparison demonstrating temporal persistence. We use the same input signals, from maximum strength to weak strength, as in the previous example. But now, fixating `intensity = normal`, we change from top to bottom `decay rate = very fast`, `normal`, and `very slow`. Observe how slower decay rates maintain signal influence over extended periods, whilst faster decay creates more responsive but shorter-lived signals.

Optimisation Process

To fine-tune your decay functions:

1. Enable visualisation: Turn on “Show decaying function” in settings
2. Select provider: Choose which Signal Provider to analyse
3. Observe patterns: Watch how signals decay during different market conditions
4. Adjust parameters:
   • Increase intensity if signals appear too weak in the flux
   • Decrease decay rate if signals fade too quickly
   • Balance multiple signal types for optimal confluence
5. Verify results: Ensure flux crosses thresholds at appropriate times

Note

The visualisations above show extreme settings for clarity. In practice, intermediate settings (low/high intensity, fast/slow decay) provide nuanced control. Start with defaults and adjust based on visual feedback.

Confluence Mechanisms

The Flux Composer offers four sophisticated methods for processing aggregated signals:

Amplitude Compression

Similar to the Stochastic Oscillator methodology, this mechanism scales flux based on recent value ranges. Excellent for normalised comparisons but requires sufficient historical data.

Accentuated Amplitude

⚔️ Goemon Warrior An enhanced version of the “Amplitude Compression” that emphasises strong flux values, providing superior discriminative power for high-conviction signals.

Trigonometric

Uses mathematical smoothing functions to reduce outlier impact whilst maintaining responsiveness. Works immediately without historical requirements.

GYTSynthesis

Our proprietary mechanism balancing signal strength with discriminative power . Designed for optimal tuning ease and cross-market generalisation.

Configuration Guide

Basic Setup

1. Add Signal Provider(s) to your chart
2. Add Flux Composer to the same chart
3. Select the correct streams of the Signal Providers within Flux Composer (see below for details)
4. Configure decaying functions for each signal type
5. Select confluence mechanism based on your analytical needs
6. Set thresholds for signal generation

Basic Setup Guide Follow our step-by-step guide to get started with the GYTS TradingView Suite

Stream Configuration

For each Signal Provider, configure the data stream connection:

1. Open the settings of the Flux Composer on your chart
2. Ensure “Enable Signal Provider” is checked for each Signal Provider you want to use
3. Select the stream from the dropdown menu corresponding to each Signal Provider. Let’s take concrete example with the WaveTrend 4D Signal Provider:
   • In 1️⃣📡 GDM 💥 Data Stream, select [GYTS-Pro] WT4D: 🔗 STREAM WT4D 📡 Gradient Divergence Measure
   • In 1️⃣📡 QMC 🌓 Data Stream, select [GYTS-Pro] WT4D: 🔗 STREAM WT4D 📡 Quantile Median Cross
4. Purposeful Runtime Errors will give insight when something is not configured correctly. Hover over the red ❗️ next to the indicator name.

Caution

When using multiple similar Signal Providers, pay attention to which you select as they will have the same names in the dropdown.

What Success Looks Like

When properly configured:

• Coloured histogram bars appear below price chart showing signal decay
• Blue/green flux line oscillates between thresholds
• Triangle markers appear for buy (triangle up ▲) and sell (triangle down ▼) signals

Caution

If you see a red ❗️ error next to the indicator name, hover over it for troubleshooting guidance. Most commonly, this means incorrect stream selection in step 3.

Step-by-Step Configuration Guide

The Flux Composer’s configuration interface is organised into four main sections, each controlling a critical aspect of signal processing:

📡 Group 1: Signal Provider Input Data Streams

Input Data Streams Settings: Connecting with the Signal Providers and setting signal category

This section manages the connection between Signal Providers (like WaveTrend 4D) and the Flux Composer:

Enable Signal Provider

• Activates or deactivates each Signal Provider slot
• Up to 4 providers in Professional Edition
• Each provider can be independently controlled

Category Selection

• Signal: Contributes to the main Signal Flux for trade generation
• Filter: ⚔️ Goemon Warrior Acts as a gatekeeper for Signal Flux outputs
  • The filtering technique is great for dual-layer validation strategies. However, using the full GYTS TV Suite, the Market Regime Detector provides arguably superior filtering capabilities.

GDM & QMC Data Streams

• Connect to the respective output streams from your Signal Providers (see also the Stream Configuration above)
• Each provider outputs both GDM and QMC signals
• Ensure correct stream selection when using multiple providers

Tip

The input data captures the full strength of the Signal Provider’s output, rather than simple buy/sell signals. This allows the Flux Composer to apply advanced processing techniques to the raw data.

🧬 Group 2: Signal & Filter Flux Configuration

Signal Flux & Filter Flux settings

This critical section controls how aggregated signals transform into trading decisions:

Signal Flux Thresholds

• Upper Threshold (UT): Bullish signal trigger level (default 0.7)
• Lower Threshold (LT): Bearish signal trigger level (default -0.7)
• Higher absolute values = fewer, higher-conviction signals
• Lower absolute values = more frequent signals

Filter Flux Thresholds ⚔️ Goemon Warrior

• Similar to Signal Flux thresholds but used for filtering purposes
• Upper Threshold: Filter allows bullish signals above this level
• Lower Threshold: Filter allows bearish signals below this level
• Creates signal validation logic when using a specifically tuned Signal Provider as a filter
• Prevents signals during unfavourable market conditions

Flux Confluence Mechanism (see details below)

• Amplitude Compression: Stochastic-style normalisation requiring historical data
• Accentuated Amplitude: ⚔️ Goemon Warrior Enhanced discrimination for strong signals
• Trigonometric: Immediate processing using trigonometrics; doesn’t require significant historical data
• GYTSynthesis: Proprietary balanced approach; doesn’t require significant historical data

Sensitivity Settings

• Controls responsiveness to market changes
• Higher sensitivity = more pronounced responses
• Market-specific tuning recommended

🎨 Group 3: Visualisation Settings

Visualisation settings

Control the visual output and debugging features:

Show Signals

• Displays triangle markers for buy/sell signals
• Essential for visual confirmation of entries/exits

Show Filter Flux ⚔️ Goemon Warrior

• Visualises the Filter Flux when providers are set as filters
• Helps understand when signals are being blocked

Show Decaying Function

• Displays individual signal contributions
• Invaluable for parameter optimisation
• Shows how each signal decays over time

Chosen Signal Provider

• Select which Signal Providers’s decay functions to visualise
• Only one Provider can be selected, whereas the Signal and Filter Flux aggregates & processes all signals

Vertical Offsets

• Filter Offset: Separates Filter Flux display (default -2)
• Decaying Function Offset: Positions individual signals (default -4)
• Prevents visual overlap for clarity

Tip

The decay function visualisation is your window into the Flux Composer’s decision-making process. Use it frequently during setup to understand how signals interact and contribute to flux generation. See the Decaying Functions section for detailed parameter explanations and optimisation strategies.

🕯️ Group 4: Decaying Function Parameters

Each decaying function consists of intensity and decay rate

Each Signal Provider has dedicated decay controls for its constituent signals:

Signal Components

• 💥 GDM Signals: Gradient Divergence Measures
  • 🐇 Normal: GDM signals with the Normal frequency as the baseline
  • 🐢 Slow: GDM signals with the Slow frequency as the baseline
• 🌓 QMC Signals: Quantile Median Crosses
  • 🐇 Normal: QMC signals based on the Normal frequency
  • 🐢 Slow: QMC signals based on the Slow frequency
  • 🦥 Lethargic: QMC signals based on the Lethargic frequency

Intensity Control

• Disable: Turns off this specific signal
• Very Low: Minimal contribution to flux
• Low: Reduced influence
• Normal: Standard weighting
• High: Enhanced contribution
• Very High: Maximum signal strength

Decay Rate Control

• Very Fast: Signals fade within 5-10 bars
• Fast: Signals persist for 10-20 bars
• Normal: Balanced decay over 20-40 bars
• Slow: Extended influence for 40-80 bars
• Very Slow: Long-term persistence 80-160 bars
• Lethargic: Ultra-slow decay beyond 160 bars

Decay Function Mathematics

The decay function uses a mathematical model where signal strength diminishes accounting for both the original signal strength, the decay profile (this section) the time elapsed since its occurrence. This creates natural, smooth transitions that mirror how market information loses relevance over time.

Subsquently, the actual Flux is calculated as the sum of all decayed signals, which are then processed through the confluence mechanisms. See details below.

Technical Implementation Details

Advanced Signal Processing

The Flux Composer leverages sophisticated mathematical transformations to process market signals, utilising multiple functions from our open-source MathTransform library. This approach ensures robust signal processing across diverse market conditions.

What to Expect from Flux Processing:

• Smooth Signal Aggregation: Multiple signals are mathematically combined to reduce noise and enhance clarity
• Adaptive Weighting: Recent signals naturally carry more influence than older ones through temporal decay models
• Dynamic Range Normalisation: Confluence mechanisms ensure signals remain within optimal ranges regardless of market volatility
• Multi-layered Validation: Professional Edition’s filter flux provides an additional validation layer for higher-confidence trades

Confluence Mechanism Results

Each confluence mechanism transforms raw flux values to optimise signal clarity:

Amplitude Compression Results

Normalises flux values based on recent historical ranges, similar to how the Stochastic Oscillator bounds values between 0-100. Expect consistent signal strength regardless of market volatility changes.

Accentuated Amplitude Results

⚔️ Goemon Warrior

Enhances strong signals whilst suppressing weak ones through specifically tuned power transformation. Expect clearer distinction between high and low conviction signals.

Trigonometric Results

Applies smooth mathematical curves to reduce outlier impact. Expect immediate signal processing without needing historical data accumulation, ideal for new instruments or timeframes.

GYTSynthesis Results

Our proprietary method balances multiple mathematical transformations from the MathTransform library. Expect optimal signal discrimination with minimal parameter tuning required.

Expected Signal Behaviour

Understanding what the Flux Composer produces helps optimise your trading approach:

Signal Strength Interpretation:

• Strong Confluence (>0.8): Multiple providers strongly agree - expect high-probability setups
• Moderate Confluence (0.5-0.8): Good agreement with some divergence - standard trading opportunities
• Weak Confluence (<0.5): Limited agreement - consider waiting for stronger signals

Temporal Dynamics:

• Fresh signals create immediate flux spikes
• Decay functions ensure older signals gradually lose influence
• Multiple overlapping signals create sustained flux levels
• Opposing signals naturally cancel each other out

Tip

The Flux Composer’s mathematical foundations draw from ensemble learning principles, where multiple “weak learners” combine to create a strong predictive system. This approach, proven in quantitative finance, ensures robust performance across varying market conditions.

Professional Edition Features

Feature	CE	Pro
Signal Provider Capacity
Signal Providers Supported	4 CE	4 Pro
GDM Signal Streams	2	4
QMC Signal Streams	2	4
Flux Processing Architecture
Signal Flux
Filter Flux
Confluence Mechanisms
Amplitude Compression
Accentuated Amplitude
Trigonometric
GYTSynthesis

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The Flux Composer serves as the central nervous system of the GYTS TradingView suite, orchestrating signals from multiple providers into coherent, actionable intelligence. Like a master conductor interpreting various instruments to create symphonic harmony, it transforms cacophonous market data into clear trading signals.

Real-World Applications

Simple Confluence Examples

Effective confluence analysis with the Flux Composer can be already achieved with just one Signal Provider, as e.g. the WaveTrend 4D Signal Provider can return op to 5 signals simultaneously. In fact, just using a single Signal Provider is the recommended starting point for new users. This allows you to develop a “feeling” for how the Flux Composer aggregates the signals, including the decaying functions and confluence mechanisms.

Example 1: British Pound / US Dollar Confluence Analysis

British Pound / US Dollar forex pair demonstrating processing multiple signals from a single Signal Provider on 4-hour timeframe. Note how contradictory signals are naturally cancelled out, whilst a single signal is in no case deemed 'significant', i.e. the Flux does not exceed the threshold (and no triangle appears).

Setup Configuration:

• “Primary”: Main GBPUSD chart analysis using standard parameters

Signal Event: The Flux Composer identified a strong bearish confluence when multiple QMC and GDM signals aligned within a short time period. This multi-signal agreement provided high conviction for the short trade setup, demonstrating how diverse signal sources create robust trading opportunities in major currency pairs.

Multi-Provider Confluence Examples

The previous example is a good introduction how to handle multiple signals. However, the true power of the Flux Composer emerges when multiple Signal Providers align to create high-conviction signals from multiple sources. Here are two practical examples demonstrating sophisticated multi-provider setups:

Example 2: Ethereum Perpetual Multi-Signal Confluence

Ethereum/USDT Perpetual on Binance, 15-minute timeframe

Setup Configuration:

• “BTC 30min”: Bitcoin 30-minute trend as crypto market context
• “current”: Primary Ethereum chart analysis
• “HLC3”: Alternative price calculation for validation

Signal Event: A powerful long signal emerged when both QMC and GDM signals aligned across multiple providers. This combination of quantile median crosses and gradient divergence measures from different analytical angles created a robust bullish entry opportunity.

Example 3: Apple Inc. Multi-Timeframe Analysis

Apple Inc. NASDAQ, 4-hour timeframe with three WaveTrend 4D providers. The Flux Composer generates a confident short signal when two QMC signals from different sources align within a short window.

Setup Configuration:

• “SPX daily”: S&P 500 daily trend as general market context
• “HLC3”: Alternative price source for reduced noise
• “current”: Primary chart analysis on close price

Signal Event: The Flux Composer generated a confident short signal when when sufficient strong signals occurred within a short time period and across Signal Providers.. This confluence of signals from multiple analytical perspectives provided high conviction for the bearish trade setup. Notice also how the other signals, even when significant (e.g. the GDM signals are all very strong), do not affect the Flux much. This setup really requires confluence from multiple signals.

Tip

Multi-Provider Strategy: These examples demonstrate how combining multiple WaveTrend 4D instances with different data sources or timeframes creates analytical depth. The Flux Composer’s strength lies in synthesising these diverse perspectives into unified, high-conviction signals.

Integration with Order Orchestrator

The Flux Composer’s signals feed directly into our Order Orchestrator for backtesting and live trading:

• Bullish signals when flux crosses above Upper Threshold (UT)
• Bearish signals when flux crosses below Lower Threshold (LT)
• Filter validation ensures signals only trigger when conditions align

Best Practices

Signal Provider Selection

Approach 1: Diverse Behaviours

• Use providers with different methodologies
• Apply to various timeframes or assets
• Leverage diversification for robustness

Approach 2: Enhanced Single Provider

• Multiple instances with parameter variations
• Different data sources (close, HL2, HLC3)
• Cross-broker validation

Parameter Tuning

1. Start with defaults for initial assessment
2. Visualise decaying functions to understand signal contributions (see Decaying Functions & Visualisation)
3. Adjust sensitivity based on signal frequency preferences
4. Fine-tune thresholds for optimal signal quality

Tip

The decay function visualisation is essential for parameter optimisation. Follow the optimisation process to systematically improve your configuration.

Troubleshooting Common Issues

Quick Solutions by Category

Connection Issues

Runtime Error: “Signal Provider is enabled and has an incorrect GDM/QMC data stream”

• Verify the correct stream is selected in the dropdown
• Check the Signal Provider is properly loaded on the chart
• Ensure you’re selecting streams from the correct provider instance

No data streams appearing in dropdowns

• Check the Signal Provider is properly loaded on the chart
• Check Signal Providers are not in error state

Signal Provider Missing from Dropdown The #1 support question - detailed solution for connection issues between Signal Providers and Flux Composer

Signal Quality

No signals despite Flux movement

• Verify “Show signals” is enabled for visual confirmation
• Check threshold settings (default 0.7/-0.7) relative to tthe Flux values
• Ensure at least one provider is set to “signal” category
• Confirm decay functions aren’t all disabled

Signals blocked by filter

• Check Filter Flux thresholds (may be too restrictive)
• Review which providers are set as “filter”
• Consider filter sensitivity settings
• Background colour indicates filter state

Erratic signal behaviour

• Review confluence mechanism selection (e.g. Amplitude Compression needs historical data)
• Adjust sensitivity for your market conditions
• Check if all signals have sensible decay settings

Optimisation

Decay visualisation not showing

• Enable “Show decaying function”
• Select desired Signal Provider (ensure it’s connected) in dropdown
• Check vertical offset isn’t pushing display off-screen
• Ensure provider has recent signals

Flux stays near zero

• Increase intensity settings from default
• Check Signal Providers are generating signals by inspecting its decaying function
• Review if decay rates are too fast

Overwhelming visual clutter

• Disable decay function visualisation during trading
• Adjust vertical offsets for separation
• Disable showing Filter Flux
• Remove visualisation elements of Signal Providers
• Hide Signal Providers (they will continue to work in the background with the Flux Composer)

Performance

Chart responsiveness issues or “Calculation takes too long” errors

• Limit active Signal Providers to 2-3
• Disable unused signal types in providers
• Turn off unnecessary visualisation elements, e.g. decay visualisation
• Use Trigonometric confluence (least intensive)
• Limit Signal Provider’s computations, e.g. calcultating QMC is computationally expensive

Script Execution Errors & TradingView Plan Limits Understanding TradingView's computational limits and how to optimize your setup for complex indicators

Next Steps

• Connect to WaveTrend 4D for understanding your primary signal source
• Follow Basic Setup Guide or Advanced Setup Guide for complete integration
• Study Order Orchestrator for executing aggregated signals
• Join our Discord for configuration discussions

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“In the symphony of market analysis, the Flux Composer transforms individual instrument voices into harmonious intelligence—where mathematical precision meets strategic insight.” 🎼