Global macro + markets reference

global_macro/README.md

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+# Global macro indicators
+
+Country-level macro indicators (GDP, inflation, wages, trade, and more), release history with actual/previous/consensus/forecast for scheduled economic releases, and daily government bond yields by country and tenor. Aggregated data. Metadata for every series is in `catalog.parquet` (id, title, units, frequency, category, country, first/last date, description, license, source).
+
+```python
+import pandas as pd
+cat = pd.read_parquet('hf://datasets/syncster-data/economic-data/global_macro/catalog.parquet')
+ind = pd.read_parquet('hf://datasets/syncster-data/economic-data/global_macro/indicators.parquet')            # series_id, date, value
+rel = pd.read_parquet('hf://datasets/syncster-data/economic-data/global_macro/release_history.parquet')       # series_id, released_at, actual, previous, consensus, forecast
+ylds = pd.read_parquet('hf://datasets/syncster-data/economic-data/global_macro/government_bond_yields.parquet')  # series_id, date, yield_pct
+```

global_macro/catalog.parquet

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global_macro/government_bond_yields.parquet

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global_macro/indicators.parquet

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global_macro/release_history.parquet

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markets_reference/README.md

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+# 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).
+
+```python
+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`.

markets_reference/bond_futures.parquet

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markets_reference/bond_yields.parquet

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markets_reference/company_profiles.parquet

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markets_reference/corporate_bonds.parquet

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markets_reference/credit_indices.parquet

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markets_reference/earnings_calendar.parquet

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markets_reference/economic_calendar.parquet

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markets_reference/financial_reports/part-0000.parquet

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markets_reference/fx_derivatives.parquet

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markets_reference/insider_trades.parquet

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markets_reference/sovereign_yields.parquet

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markets_reference/stock_fundamentals.parquet

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