NASDAQ Stock Data With News And Fundamentals

A 10-year dataset builder for NASDAQ market data, created by HaiwenWang. It includes daily and hourly OHLCV data, with optional news and ticker-level fundamental data attachments. The dataset page was last updated in April 2026.

Use Cases

• Forecast future OHLCV prices using historical daily and hourly time-series data.
• Analyze the impact of attached news articles on intraday price volatility and volume.
• Model stock returns by incorporating ticker-level fundamental export data with market prices.
• Build multi-ticker prediction systems using the optional multi-process parallelism for data generation.

Strengths

• Covers a 10-year time range for longitudinal analysis.
• Includes multiple data modalities: price (OHLCV), news, and fundamentals.

Limitations

• Specific row counts, file formats, and sample sizes are unknown.
• The dataset is a builder/tool, requiring user configuration and execution to generate the final data.

Provenance

Source

NASDAQ market data.

Collection Method

Built via a local dataset builder API (vNext) with CLI and Jupyter configuration.

Time Range

10 years (specific start/end dates unknown).

Freshness

null

Geography

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