Research dashboard

Planetary features tested against real world attention data.

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Review results Inspect data

F1 to F4 10 bodies

Long rows joined -

Out-of-sample predictions -

Published feature family F1

Last generated -

Out-of-sample score

Current long-run evidence

Positive skill means the planet-augmented model beat the lag baseline. Negative skill means the baseline won.

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Target	Scope	Rows	Predictions	Baseline RMSE	Augmented RMSE	Relative skill

Inputs

Data inventory

Raw GDELT target files, processed weekly targets, ephemeris caches, feature matrices, and pinned Swiss Ephemeris files.

Group	File	Rows	Size

Feature families

Progressive ephemeris sets

Families are built from deterministic Swiss Ephemeris positions, then encoded with circular and pairwise angle features.

Quality checks

Target QA

GDELT reflects indexed news attention, so missing intervals and spikes are shown beside each target.

Interpretation

The first public version is evidence-first.

The dashboard publishes current results without claiming astrology works. The existing long F1 tests underperform the baseline, while the synthetic test confirms the pipeline can detect a known injected signal.