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RED-2400
A public benchmark of 6,659 algorithmically-rejected decentralized-exchange (DEX) trading events with linked post-rejection price and liquidity outcomes.
Canonical source
The authoritative version of this dataset is deposited at Zenodo under CC-BY-4.0:
This Hugging Face entry is a discoverability mirror. Always cite the Zenodo DOI.
What's in it
| Component | Records |
|---|---|
| Rejection events (one per asset) | 6,659 |
| Post-rejection price / liquidity observations | 169,122 |
| Graveyard snapshots (assets that disappeared from the public price oracle) | 1,836 |
Observation window: 10 April – 2 May 2026 (UTC), continuous capture.
Outcome labels (5-tier, reproducible from raw data):
saved_windowed— asset crashed within the observation windowsaved_early_death— single early sample then absent from oracle ≤ 60 min (disappearance signal)missed— asset appreciated ≥ a documented multipleflat— observed, neither threshold metunclassifiable— insufficient / ambiguous observation
Why it matters
Automated screening systems on DEXes reject most candidates they evaluate, but the subsequent fate of rejected candidates is never recorded — so filter precision (do they correctly reject what should be rejected, without discarding what should be accepted?) cannot be measured from the accepted population alone.
RED-2400 is, to the author's knowledge, the first public corpus pairing algorithmic rejection events with their counterfactual post-rejection outcomes at scale. It supports:
- Reject-inference research
- Counterfactual evaluation of automated decision systems
- DeFi market-microstructure studies of short-lived assets
- Retail-investor-protection analysis
Companion publications
- arXiv preprint: 2605.12151
- SSRN abstracts: 6564803, 6607301, 6638259, 6702198
- Data Descriptor: under pre-submission inquiry at Scientific Data (Nature Portfolio)
Code
Open-source Python reader: red-2400-reader (MIT licence)
GitHub: aartikamat/red-2400-reader
The reader regenerates the outcome classification from the raw deposit, enabling end-to-end reproducibility.
Provenance
Every released artifact is covered by a SHA-256 hash in a provenance manifest included in the Zenodo deposit. The dataset is derived from an append-only write log with no post-hoc editing or outlier removal.
Citation
@dataset{kamat_red2400_2026,
author = {Kamat, Arati Uday},
title = {{RED-2400: A Public Benchmark of Algorithmically-Rejected DEX Trading Events with Outcome Labels}},
year = 2026,
publisher = {Zenodo},
doi = {10.5281/zenodo.19989075},
url = {https://doi.org/10.5281/zenodo.19989075}
}
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