APOCALYPSE
Global Apocalypse Index · Mission Terminal
RUN
AUC
FUSED
GAI
GLOBAL APOCALYPSE INDEX SYS-01
GAI · INDEX
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GAI-x · HUMAN DRIVERS
GAI-x · INDEX
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Attention:
human-driven channels only ⓘ
GAI-y · COSMIC DRIVERS
GAI-y · INDEX
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Attention:
cosmic channels only ⓘ
As-of:
Cadence: 12:00 GMT · on-event
Provenance composition
— admitted
    MethodCountAvg fidelityTotal weight
    Briefing

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    GAI 7-day drift
    forecast vs current (pp)
    Anomalies (|z|≥2)
    across all indices
    Critical regime
    |z|≥3 indices
    Categories
    domains tracked
    Model inputs
    channels trained daily
    Public indices
    on the dashboard
    Real adapters
    live today
    Model health
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    Adaptive layer
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    Backtest AUC
    walk-forward
    Index Category Value Δ Δ% z Regime Trend (60d) Source

    Provenance

    Every admitted source is tagged with the method that produced today's value. Real publications carry weight 1.0; frequency-aligned upsamples 0.95; nowcasts 0.85; statistical-fidelity-gated synth 0.70. The composite GAI integrates each contribution at its calibrated weight.

    Why these lists are shown here
    The two boards below are onboarding telemetry only. Sources listed as joining or in snapshot-API onboarding are not fused into the composite GAI, and are not among the inputs used by the cold run nor by today's warm/cron run. They contribute zero weight until they are formally admitted — i.e. they accumulate 30 real observations (joining) or 30 daily real-stamps (single-snapshot APIs). Once admitted they enter the panel at REAL weight 1.0 and start contributing to GAI / GAI-x / GAI-y on the next daily cycle. The countdown progress shown per tile is purely an onboarding indicator; it does not affect the current index.

    Joining promotion countdown

    Sources with at least one real observation but fewer than 30 in window. Each tile shows real-observation accrual progress and an estimated time-to-admission based on the source's native cadence.

    Snapshot-API onboarding

    Single-snapshot APIs accumulating a daily real-stamp counter. Each source becomes joining as soon as the stamp ticker reaches 1, then admitted on day 30.

    Constellation

    Each tile is a tracked index sized by its z-magnitude and shaded by regime. Click any tile to drill into the full chart.

    Categories

    Each category aggregates indices feeding the GAI from one domain.

    Sources

    APOCALYPSE Research Foundation

    Founder: Professor Dr. Stelios Bekiros

    Peer-reviewed publications, technical references, and white papers from the APOCALYPSE project.

    Publications & documents

    White paper · Coming soon

    APOCALYPSE: A Multi-Agent Forecasting System for the Global Apocalypse Index

    The public technical white paper is being revised. The updated edition will cover the B31 architecture (4312-channel panel, 16 agents, signal-side instruments, REAL / FREQ_ALIGN / NOWCAST / SYNTH provenance weighting, GAI-x and GAI-y sub-indices) and the warm-resume daily publication cadence. It will be re-published here once finalised.

    Updated PDF pending

    Published papers

    Selected peer-reviewed work by the founder. For the complete list, see steliosbekiros.com or Google Scholar.

    Cite this work

    @misc{bekiros2026apocalypse,
      author       = {Bekiros, Stelios},
      title        = {{APOCALYPSE}: A Multi-Agent Forecasting System for the Global Apocalypse Index},
      year         = {2026},
      howpublished = {APOCALYPSE Research Foundation},
      url          = {https://apocalypse-index.org},
      note         = {Daily publication; see white paper for methodology}
    }

    Support APOCALYPSE Research Foundation

    With your support we can continue this pioneering research project. Thank you.

    Contact

    About APOCALYPSE

    APOCALYPSE is the original work of Prof. Dr. Stelios Bekiros. It is an independent multi-source intelligence system that estimates planetary and human-system stress and emits a calibrated readout in three coupled dimensions:

    Together, GAI, GAI-x and GAI-y form a single readout — level, direction, and turbulence — rather than a single number in isolation.

    How values get here

    1. Rolling-window observations are gathered from every tracked source across the public-data universe.
    2. Inputs are normalised, gap-filled, and reconciled into a unified state-vector at a shared cadence.
    3. An ensemble of specialist neural agents trains and backtests on the rolling window under cross-validated supervision.
    4. Outputs are fused into the three dimensions — present state (GAI), forecast (GAI-x), and volatility / regime (GAI-y) — and calibrated against held-out validation slices.
    5. Each daily cycle must pass model-quality gates (discrimination, calibration, false-alarm rate) before promotion; a failed run is rolled back and the previous canonical state is retained.
    6. The dashboard refuses to publish without a fresh, validated model-run manifest signed by the calibration gate.

    Editorial principles

    Cadence

    Copyright

    © Stelios Bekiros — All Rights Reserved. The methodologies and internal models are proprietary.