Bio-Digital Market Proprioception & Chaos Analysis
PRANA is an advanced market analysis core utilizing bio-digital metaphors to process complex on-chain data. It is an Observer-Only System designed to map the invisible layers of market psychology, systemic stress, and behavioral entropy without direct market intervention.
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evolution_pro.py - Dynamic dopamine and adrenaline evolution based on market surprise. The system adapts its sensitivity threshold in real-time, simulating biological arousal and fatigue cycles.
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sensor_onchain_ingestor.py - A high-sensitivity volatility expander. Utilizing Nonlinear Lyapunov Divergence, it detects micro-movements and structural shifts in liquidity and MEV activity before they manifest as price action.
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shadow_core.py - Executes 100 parallel Monte Carlo simulations per cycle to calculate Panic Probabilities. It identifies the transition from "Market Denial" to "Mass Hysteria" using proprietary behavioral weights.
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thalamic_junction.py - A PyTorch-powered neural engine that processes 12-dimensional vectors of systemic jitter and circadian rhythms. It manages the "Nervous Tension" of the engine, ensuring balanced sensory gain.
- Bicameral Mind: Resolves the dissonance between rational data (Logic) and intuitive signals (Shadow). It features a "Humility Protocol" that tracks cognitive biases like Arrogance and Rigidity.
- Chaos Attractor Mapping: Maps on-chain entropy to identify "Event Horizons" where systemic collapse becomes statistically inevitable.
- Circadian Rhythm Integration: Simulates natural energy peaks and troughs to prevent over-optimization and sensory burnout during low-volatility periods.
- Language: Python 3.9+
- Neural Framework: PyTorch
- Mathematics: NumPy, SciPy (Non-linear regression & Stochastic modeling)
- Data Ingestion: Web3, Dune API, Flashbots MEV-Relay
- Clone the repository:
git clone [https://github.com/krakadal/PRANA.git](https://github.com/krakadal/PRANA.git)