ZanderL1337/financial-data-pipeline

Financial Data Pipeline — Full Curated Snapshot

A comprehensive financial dataset covering 179 tables and 90,950,086 rows across macro, market, and alternative data sources.

Data Sources

Category	Tables	Key Sources
Market Prices	15	Tiingo, Schwab, Finnhub, CBOE
Macro & Economic	78	FRED, BLS, BEA, Treasury, EIA
Fundamentals	44	SEC EDGAR, Finnhub, SimFin, Alpha Vantage
Alternative Data	28	Congressional trades, insider transactions, patents, OpenFDA
Crypto & Forex	8	CoinGecko, Tiingo
Index & Holdings	4	Wikipedia, BlackRock, EdgarTools, OpenFIGI
Sentiment & News	2	Finnhub, Reddit, Google Trends, Fed speeches

Usage

from datasets import load_dataset

# Load entire dataset
ds = load_dataset("ZanderL1337/financial-data-pipeline", trust_remote_code=True)

# Load specific table
df = ds["alpha_vantage_dividends"].to_pandas()

Or load individual parquet files directly:

import pandas as pd

df = pd.read_parquet("path/to/parquet/file.parquet")

Schema

Each table is stored as a separate parquet file. Key columns:

• date / snapshot_date: Temporal columns (where applicable)
• symbol / ticker: Security identifiers
• fetched_at: UTC timestamp when data was fetched
• year / month: Hive partition columns (where applicable)

Build Info

• Generated: 2026-08-03
• Pipeline: financial-data-pipeline (https://github.com/Zanderl1987/financial-data-pipeline)
• Tables: 179
• Total Rows: 90,950,086
• Total Size: 2704.0 MB

License

CC BY 4.0 — data sourced from public APIs and government databases.