metadata
license: mit
task_categories:
- tabular-classification
- time-series-forecasting
tags:
- econophysics
- market-efficiency
- randomness
- honest-odds
pretty_name: NoEdge Structure Dataset
NoEdge Structure Dataset
The labeled data behind the No-Edge Detector. Each row is the causal-feature fingerprint of a 256-point price window, labelled by its true generating process: memoryless_no_edge (random walk), mean_reverting (Ornstein–Uhlenbeck), or trending (AR(1) momentum). 9000 rows, balanced.
Features: acf1, acf2, acf3, acf4, acf5, absacf1, absacf2, absacf3, vr2, vr4, vr8, hurst, runs_z, er (autocorrelation of returns & |returns|, variance ratios, Hurst, runs-test z, efficiency ratio).
Part of Nexus — The Honest Odds Project. It captures statistical structure, not profit — structure
does not imply a tradeable edge after payout. Not financial advice. Reproduce with build_dataset.py.