This module is part of the Requiem Finance ecosystem. It transforms market noise into mathematical topography, allowing traders to visualize hidden attractors and market memory.
Traditional technical analysis is limited by its linear nature—observing price as a simple function of time. Requiem Topology breaks this limitation by embedding time-series data into a high-dimensional Phase Space.Manifold Reconstruction: By utilizing a delayed-coordinate embedding, we reconstruct the underlying market manifold, revealing the dynamical system's "attractors" that are invisible on standard OHLC charts.
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3D Structural Motion RequiemVisualizer.mp4 |
Static Topographical Render |
Distance Matrix Computation: We compute a global distance matrix using the Euclidean metric,
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Non-Linear Feature Extraction: Processes time-series data into high-dimensional phase space vectors to extract non-linear structural features that standard indicators miss.
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High-Resolution 3D Topographical Rendering: Leverages an optimized Matplotlib 3D engine with spectral colormaps to provide a tactile sense of market density and resistance.
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Market Memory Detection: Identifies hidden recursive patterns and "attractors" in the price action that are completely invisible to the naked eye on 2D charts.
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Regime Shift Visualization: Provides a visual early-warning system for regime shifts; when the terrain becomes jagged, it signals that historical correlations are breaking down.
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Adaptive Normalization: Implements min-max scaling to ensure structural patterns are detected regardless of the asset's nominal price level or historical timeframe.
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Quant-Ready Architecture: Designed as a modular component for the Requiem Terminal ecosystem, facilitating integration with automated trading systems.
- Clone the repository and install dependencies:
pip install yfinance
pip install numpy
pip install matplotlib
pip install scipyCopyright © 2026 RequiemLaw. All rights reserved.