Omnifield Drift Plane (CNT) — Five-Domain Hazard Geometry Across BTC, SPY, VIX, Seismic, and Climate Data

This record contains the input data and output artifacts for the "Omnifield Drift Plane" experiment developed within the Cognitive Nexus Theory (CNT) framework. The goal of the experiment is to construct a shared low-dimensional "field surface" (the Omnifield Drift Plane) across five heterogeneous systems: - BTC-USD daily price windows (crypto)- SPY daily price windows (equity index)- VIX daily volatility windows (equity volatility)- Seismic waveforms from the 2011 Tohoku earthquake (one BHZ station)- A global climate drift index (D_global) constructed from climate data From these inputs, we compute short-window drift features (e.g. alpha_short, simple future-drawdown metrics, climate alpha projections) and then: 1. Standardize features within each domain (domain-specific z-scoring).2. Perform joint PCA across all domains to obtain a 2D Omnifield Drift Plane parameterized by (Ω1, Ω2).3. Compute "hazard vectors" for each domain: the difference between hazard and non-hazard centroids in Ω-space, yielding a direction and magnitude for each system.4. Discretize the plane into shared "field states" based on radius and angle: - calm - climate_storm - seismic_rise - vol_shield - mixed_drift5. Train two hazard channels on the Ω-plane: - MacroChannel: a logistic hazard model trained on climate, BTC, SPY, and VIX labels. - QuakeChannel: a logistic hazard model trained only on seismic labels.6. Write back per-window hazard indices: - macro_hazard_index = P_macro(hazard | Ω1, Ω2) - quake_hazard_index = P_quake(hazard | Ω1, Ω2)7. Aggregate the full-timeseries data by calendar date to obtain daily alignment across BTC, SPY, VIX, and climate: - Daily mean Ω1, Ω2 per domain - Daily hazard fraction - Daily majority field_state_mode - Daily mean macro_hazard_index and quake_hazard_index8. Define and extract Omnifield "episodes" based on daily thresholds: - GLOBAL_STORM episodes (climate in climate_storm with elevated macro hazard index) - TREMOR_SURGE episodes (BTC in seismic_rise with elevated quake hazard index) - EQUITY_HEATWAVE episodes (SPY in elevated macro regimes) - (Optionally VOL_SHIELD episodes for VIX when thresholds are relaxed) CONTENTS The `input/` folder contains the raw drift-window inputs used in this experiment: - `cnt_crypto_drift_windows_BTCUSD.csv`- `cnt_finance_drift_windows_SPY.csv`- `cnt_vol_drift_windows_VIX.csv`- `cnt_seismic_drift_windows_seismic.csv`- `cnt_global_drift_timeseries_climate.csv` These are the exact CSVs used in the main CNT Omnifield run described here. The `output/` folder contains the main derived artifacts: - `cnt_omnifield_timeseries_full_v1.csv` - Full merged timeseries for all domains with: - domain, row_idx - Ω1, Ω2 (omega1, omega2) - r, theta_deg - _is_hazard - field_state - macro_hazard_index, quake_hazard_index - `cnt_omnifield_timeseries_<domain>_full_v1.csv` - Per-domain slices of the full timeseries for: - climate_globalD - crypto_BTCUSD - finance_SPY - seismic_EVMap - vol_VIX - `omnifield_glyph_angles_full.csv` - For each domain: - delta_omega1, delta_omega2, delta_norm, angle_deg - These are the hazard vectors ("glyphs") on the Omnifield Drift Plane. - `omnifield_glyph_map_full_mega.md` - A human-readable summary of glyph directions and magnitudes. - `cnt_omnifield_daily_alignment_SPY_BTC_VIX_climate_full_v1_inner.csv` - Daily alignment across BTC, SPY, VIX and climate (only dates where all four are present) with: - <domain>_omega1_mean - <domain>_omega2_mean - <domain>_hazard_frac - <domain>_field_state_mode - <domain>_macro_idx_mean - <domain>_quake_idx_mean - `omnifield_events_daily_v1.csv` - Daily event flags: - evt_global_storm - evt_tremor_surge - evt_vol_shield - evt_equity_heatwave - `omnifield_event_episodes_v1.csv` - Grouped episodes with: - event_name (GLOBAL_STORM, TREMOR_SURGE, VOL_SHIELD, EQUITY_HEATWAVE) - episode_id - start_date, end_date, n_days - average hazard indices across domains The top-level `README_omnifield_experiment_v1.txt` provides a brief summary of this structure. REPRODUCTION The files in this record are designed so that other researchers can: - Inspect the raw drift windows and hazard labels.- Recompute the Omnifield PCA and glyph vectors using their own code.- Verify per-domain Ω1/Ω2 projections and hazard separation.- Recreate daily alignment and field_state transitions.- Reconstruct the simple episode definitions. The actual CNT Omnifield theory (interpretation, naming of field states, dual-channel semantics) is philosophical and conceptual; this record is intended to give full visibility into the data and numerical steps that support the claims.