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Deca-Oscillator Ultra Suite
Deca-Oscillator Ultra Suite
The Multi-Heuristic Consensus Framework
In modern algorithmic trading, the reliance on a single technical oscillator often leads to "analysis paralysis" or, conversely, frequent false signals due to indicator lag and market noise. The Deca-Oscillator Ultra Suite addresses these inefficiencies by utilizing a Multi-Heuristic Consensus Framework. This model synthesizes ten independent mathematical oscillators into a singular, normalized composite score, providing a high-fidelity view of market momentum.
Mathematical Foundation
1. Linear Feature Normalization
To integrate disparate oscillators (e.g., CCI ranging from -300 to +300 vs. RSI ranging from 0 to 100), the engine applies a Min-Max scaling algorithm to every internal component. This ensures that every indicator contributes to the final score within a standardized 0–100 probability space.
[math]N(x) = 100 * \frac{x - min(x)}{max(x) - min(x)}[/math]*
2. Weighted Composite Calculation
The final composite score (C) is derived from a weighted arithmetic mean of the normalized inputs. The weightings allow the model to prioritize historically reliable metrics like the RSI and Fisher Transform over more volatile indicators.
[math]C = \frac{\sum_{i=1}^{10} (w_i \cdot N(o_i))}{\sum_{i=1}^{10} w_i}[/math]
3. Consensus Logic (k-Agreement)
Beyond simple crossovers, the signal engine employs a k-agreement filter. A signal is only validated if the number of primary components agreeing with the direction meets the required threshold.
[math]Consensus \ge n[/math]
The Ten Core Components
This suite does not just average values; it analyzes market state through ten distinct lenses:
RSI: Standard momentum relative to price change.
MFI: Volume-weighted momentum (Money Flow).
Stochastic: Position of current price relative to the high-low range.
CCI: Statistical deviation from the average.
Williams %R: Inverse momentum for extreme overbought/oversold detection.
ROC: Pure velocity of price change.
Bull/Bear Power: Interaction between high/low and EMA.
Awesome Oscillator: Comparison of short-term and long-term momentum.
Momentum: Simple price-distance velocity.
Fisher Transform: Transforming price distributions into Gaussian normal distributions.
Visual Architecture
High-Contrast Theme: Features Blue (Bullish) and White (Bearish) for optimal visibility on dark-themed charts.
Precision Matrix: A real-time dashboard displaying the consensus of internal components, the HTF trend state, and the total composite score.
Heuristic Divergence: Automates pivot detection to draw momentum-price divergence lines, signaling potential exhaustion before price action confirms the reversal.
Reply below with comments, critiques, or criticisms. All is welcome!
The Multi-Heuristic Consensus Framework
In modern algorithmic trading, the reliance on a single technical oscillator often leads to "analysis paralysis" or, conversely, frequent false signals due to indicator lag and market noise. The Deca-Oscillator Ultra Suite addresses these inefficiencies by utilizing a Multi-Heuristic Consensus Framework. This model synthesizes ten independent mathematical oscillators into a singular, normalized composite score, providing a high-fidelity view of market momentum.
Mathematical Foundation
1. Linear Feature Normalization
To integrate disparate oscillators (e.g., CCI ranging from -300 to +300 vs. RSI ranging from 0 to 100), the engine applies a Min-Max scaling algorithm to every internal component. This ensures that every indicator contributes to the final score within a standardized 0–100 probability space.
[math]N(x) = 100 * \frac{x - min(x)}{max(x) - min(x)}[/math]*
2. Weighted Composite Calculation
The final composite score (C) is derived from a weighted arithmetic mean of the normalized inputs. The weightings allow the model to prioritize historically reliable metrics like the RSI and Fisher Transform over more volatile indicators.
[math]C = \frac{\sum_{i=1}^{10} (w_i \cdot N(o_i))}{\sum_{i=1}^{10} w_i}[/math]
3. Consensus Logic (k-Agreement)
Beyond simple crossovers, the signal engine employs a k-agreement filter. A signal is only validated if the number of primary components agreeing with the direction meets the required threshold.
[math]Consensus \ge n[/math]
The Ten Core Components
This suite does not just average values; it analyzes market state through ten distinct lenses:
RSI: Standard momentum relative to price change.
MFI: Volume-weighted momentum (Money Flow).
Stochastic: Position of current price relative to the high-low range.
CCI: Statistical deviation from the average.
Williams %R: Inverse momentum for extreme overbought/oversold detection.
ROC: Pure velocity of price change.
Bull/Bear Power: Interaction between high/low and EMA.
Awesome Oscillator: Comparison of short-term and long-term momentum.
Momentum: Simple price-distance velocity.
Fisher Transform: Transforming price distributions into Gaussian normal distributions.
Visual Architecture
High-Contrast Theme: Features Blue (Bullish) and White (Bearish) for optimal visibility on dark-themed charts.
Precision Matrix: A real-time dashboard displaying the consensus of internal components, the HTF trend state, and the total composite score.
Heuristic Divergence: Automates pivot detection to draw momentum-price divergence lines, signaling potential exhaustion before price action confirms the reversal.
Reply below with comments, critiques, or criticisms. All is welcome!
Açık kaynak kodlu komut dosyası
Gerçek TradingView ruhuyla, bu komut dosyasının mimarı, yatırımcıların işlevselliğini inceleyip doğrulayabilmesi için onu açık kaynaklı hale getirdi. Yazarı tebrik ederiz! Ücretsiz olarak kullanabilseniz de, kodu yeniden yayınlamanın Topluluk Kurallarımıza tabi olduğunu unutmayın.
Feragatname
Bilgiler ve yayınlar, TradingView tarafından sağlanan veya onaylanan finansal, yatırım, alım satım veya diğer türden tavsiye veya öneriler anlamına gelmez ve teşkil etmez. Kullanım Koşulları bölümünde daha fazlasını okuyun.
Açık kaynak kodlu komut dosyası
Gerçek TradingView ruhuyla, bu komut dosyasının mimarı, yatırımcıların işlevselliğini inceleyip doğrulayabilmesi için onu açık kaynaklı hale getirdi. Yazarı tebrik ederiz! Ücretsiz olarak kullanabilseniz de, kodu yeniden yayınlamanın Topluluk Kurallarımıza tabi olduğunu unutmayın.
Feragatname
Bilgiler ve yayınlar, TradingView tarafından sağlanan veya onaylanan finansal, yatırım, alım satım veya diğer türden tavsiye veya öneriler anlamına gelmez ve teşkil etmez. Kullanım Koşulları bölümünde daha fazlasını okuyun.