FNSPID: Financial News Articles for Time-Series Forecasting

FNSPID is a dataset of financial news articles curated by sifan2026, designed for time-series forecasting research. It was last updated on April 12, 2026. The dataset is intended to support models analyzing market trends and investor sentiment.

Use Cases

• Forecasting market trends based on the content of financial news articles.
• Analyzing investor sentiment over time using the described news corpus.
• Developing NLP models for extracting critical financial indicators from news text.

Strengths

• Described as 'meticulously curated' for research applications.
• Last updated on 2026-04-12, indicating recent maintenance.

Limitations

• Row count, file formats, and column definitions are unknown.
• Column-level documentation is absent; field semantics must be inferred after download.
• License information is not provided.

Provenance

Source

huggingface user sifan2026

Collection Method

Curated collection of financial news articles.

Freshness

Last updated 2026-04-12 06:49:34; freshness should be verified.