ForesightFlow
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FFIC/v1.0 · CC-BY-4.0

ForesightFlow Insider Cases

A curated validation set mapping eight publicly documented episodes of suspected informed trading on Polymarket to concrete on-chain market identifiers. Cases span 2023–2026 and cover 24 individual markets across military and geopolitical actions, corporate proprietary disclosures, and regulatory decisions.

The FFIC Inventory is a curated validation set mapping eight publicly documented episodes of suspected informed trading on Polymarket to concrete on-chain market identifiers. It is the companion dataset for ForesightFlow: Real-Time Detection of Informed Trading in Decentralized Prediction Markets.

Why this dataset exists

Published reports on informed trading typically describe events at the narrative level without releasing on-chain identifiers necessary for reproducibility. Every research group has had to reconstruct the case-to-market mapping themselves. FFIC closes this gap.

Coverage

Eight cases spanning 2023–2026, mapped to 24 individual Polymarket markets:

Case IDDescriptionDateMarketsTotal volume
fficd-0012024 U.S. presidential electionNov 20244$2.96 B
fficd-002October 2024 Iran strike on IsraelOct 20243$1.04 M
fficd-0032026 U.S.–Iran conflict clusterFeb–Apr 20266$825.3 M
fficd-004Maduro / Venezuela cluster2025–20263$70.5 M
fficd-005Bitcoin ETF SEC approvalJan 20241$12.6 M
fficd-006Google Year-in-Search rankings 2025Dec 20253$5.3 M
fficd-007FTX / SBF case cluster2024–20253$9.5 M
fficd-008Romanian presidential election 2024–2025Dec 20241$326.5 M

Total: 24 markets, approximately $4.21 billion in cumulative volume.

Format

Distributed as a YAML manifest (ffic-inventory/cases.yaml) with a companion JSON Schema for validation. Per-case evidence files are in ffic-inventory/sources/<case-id>/. Machine-readable formats: ffic-v1.csv and ffic-v1.jsonl.

Intended use

  • Validation dataset for ILS-based informed-trading detection
  • Benchmarking other anomaly detection methods against documented ground truth
  • Training classifiers for insider-trading detection
  • Academic study of information leakage in decentralized finance

Citation

@misc{nechepurenko2026ffic,
  title     = {ForesightFlow Insider Cases (FFIC) Inventory},
  author    = {Nechepurenko, Maksym},
  year      = {2026},
  publisher = {ForesightFlow / Devnull FZCO},
  url       = {https://github.com/ForesightFlow/datasets/tree/main/ffic-inventory},
  note      = {Version 1.0, CC-BY-4.0}
}