Pith Number

pith:5YGVBCPG

pith:2025:5YGVBCPGFYISPFIHH7DOLHDANE

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FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting

Changjun Jiang, Dawei Cheng, Naiqi Li, Peiyuan Liu, Shu-Tao Xia, Tao Dai, Yifan Hu, Yuante Li, Yuxia Zhu

FinTSB benchmark categorizes stock movements into four parts, standardizes metrics in three dimensions, and models trading constraints to fix evaluation gaps.

arxiv:2502.18834 v3 · 2025-02-26 · cs.CE · cs.LG

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Claims

C1strongest claim

FinTSB addresses the diversity gap, standardization deficit, and real-world mismatch in financial time series forecasting evaluations by categorizing movement patterns into four parts, standardizing metrics across three dimensions, and modeling regulatory constraints including transaction fees.

C2weakest assumption

The assumption that categorizing movement patterns into four specific parts, tokenizing and pre-processing the data, and assessing quality via sequence characteristics sufficiently covers the full spectrum of stock movement patterns observed in dynamic financial markets (as invoked to address the Diversity Gap).

C3one line summary

FinTSB introduces a benchmark addressing diversity, standardization, and real-world applicability gaps in financial time series forecasting evaluations.

Cited by

7 papers in Pith

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From Observations to States: Latent Time Series Forecasting

GCGNet: Graph-Consistent Generative Network for Time Series Forecasting with Exogenous Variables

Receipt and verification

First computed	2026-06-02T02:04:46.425358Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

ee0d5089e62e112795073fc6e59c60693c536513b692f7447c387863308296d0

Aliases

arxiv: 2502.18834 · arxiv_version: 2502.18834v3 · doi: 10.48550/arxiv.2502.18834 · pith_short_12: 5YGVBCPGFYIS · pith_short_16: 5YGVBCPGFYISPFIH · pith_short_8: 5YGVBCPG

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/5YGVBCPGFYISPFIHH7DOLHDANE \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: ee0d5089e62e112795073fc6e59c60693c536513b692f7447c387863308296d0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "5e2ececeb400cc3c21669e629659c6891e6a455c33b3f2504e1ada81b2bcff0c",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CE",
    "submitted_at": "2025-02-26T05:19:16Z",
    "title_canon_sha256": "352bb9597483968610531f6a272620122a48e5a645110ac3e6d40b2b4939bb12"
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  "source": {
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    "kind": "arxiv",
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