markets_reference/README.md

Markets reference data

Aggregated data: economic calendar, bond yields, sovereign yields, corporate bonds, credit indices, bond futures, FX derivatives, earnings calendar, insider and congressional trades, company profiles, stock fundamentals, and financial statements (JSON data column).

import pandas as pd
economic_calendar = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/economic_calendar.parquet')
bond_yields = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/bond_yields.parquet')
sovereign_yields = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/sovereign_yields.parquet')
corporate_bonds = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/corporate_bonds.parquet')
credit_indices = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/credit_indices.parquet')
bond_futures = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/bond_futures.parquet')
fx_derivatives = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/fx_derivatives.parquet')
earnings_calendar = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/earnings_calendar.parquet')
insider_trades = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/insider_trades.parquet')
company_profiles = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/company_profiles.parquet')
stock_fundamentals = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/stock_fundamentals.parquet')
fin = pd.read_parquet('hf://datasets/syncster-data/economic-data/markets_reference/financial_reports/')  # long table, statements as JSON

Bond, futures and FX tables are long format: symbol, bucket, date, field, value.