DL_ohlcv_newssources: Financial Time Series with News Data
Available on 1 platform
Sign in to view source links and access this dataset
Description
DL_ohlcv_newssources is a dataset from Kaggle. Its title suggests it combines financial market data, likely OHLCV (Open, High, Low, Close, Volume) metrics, with news sources. The dataset's actual content, scale, and origin require verification after download.
Use Cases
Train a model to predict asset price volatility using news sentiment (inferred from domain, verify after download)
Analyze correlations between specific news events and OHLCV metrics (inferred from domain, verify after download)
Build a multimodal model integrating numerical time-series and textual news data (inferred from domain, verify after download)
Strengths
Published on Kaggle, a major platform for data science resources.
Limitations
Metadata is minimal; actual content requires verification after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count is unknown, which may limit suitability assessment.
Provenance
Source
Kaggle
Collection Method
Unknown
Time Range
Unknown
Freshness
Last update date is unknown; freshness unverified.
Geography
Unknown
License is unknown; usage restrictions must be checked before application.