FinzData/macro-orders-trade

US macro data: Orders and Trade (50 series)

50 orders and trade series from US government sources, cleaned into one consistent format and ready for pandas. This free package holds the last 12 months (2025-11-01 on) of each series' latest values. It is refreshed weekly.

import pandas as pd
df = pd.read_parquet("hf://datasets/FinzData/macro-orders-trade/data/long.parquet")      # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-orders-trade/data/wide_monthly.parquet")  # one column per series

or datasets.load_dataset("FinzData/macro-orders-trade"). Wide tables by frequency: wide_monthly (33 series), wide_quarterly (17 series). series.csv lists every series with its title, units, frequency and how far back the full history goes.

The full history, point in time, through one API

The FinzData API serves every series back to its first observation, every revision (what was known on any past date, so backtests do not peek at later revisions), and daily updates, in the same format:

import finzdata as fz                     # pip install finzdata
c = fz.Client()                           # free API key: https://api.finzdata.com/
c.macro("BOPGSTB")                        # full history, latest values
c.macro("BOPGSTB", vintage="first")       # as first released
c.macro("BOPGSTB", as_of="2020-03-01")    # exactly what was known on that date
c.macro_series(category="orders_trade")          # the catalogue for this category

Most-watched series in this package

ID	Title	Units	Frequency	Full history from
BOPGSTB	Trade Balance: Goods and Services, Balance of Payments Basis	Millions of Dollars	Monthly	1992
NEWORDER	Manufacturers' New Orders: Nondefense Capital Goods Excluding Aircraft	Millions of Dollars	Monthly	1968
ISRATIO	Total Business: Inventories to Sales Ratio	Ratio	Monthly, End of Period	1948
AMTMNO	Manufacturers' New Orders: Total Manufacturing	Millions of Dollars	Monthly	1992
BUSINV	Total Business Inventories	Millions of Dollars	Monthly, End of Period	1980
NETEXP	Net Exports of Goods and Services	Billions of Dollars	Quarterly	1946
BOPGTB	Trade Balance: Goods, Balance of Payments Basis	Millions of Dollars	Monthly	1992
EXPGS	Exports of Goods and Services	Billions of Dollars	Quarterly	1946
IMPCH	U.S. Imports of Goods by Customs Basis from China	Millions of Dollars	Monthly	1985
IMPGS	Imports of Goods and Services	Billions of Dollars	Quarterly	1946
AUINSA	Domestic Auto Inventories	Thousands of Units	Monthly	1993
EXPGSC1	Real Exports of Goods and Services	Billions of Chained 2017 Dollars	Quarterly	1947
IMPGSC1	Real imports of goods and services	Billions of Chained 2017 Dollars	Quarterly	1947
IMPTOTUS	Imports of Goods for United States	Millions of Dollars	Monthly	2008
WHLSLRIMSA	Merchant Wholesalers Inventories	Millions of Dollars	Monthly, End of Period	1992
BOPTEXP	Exports of Goods and Services, Balance of Payments Basis	Millions of Dollars	Monthly	1992
EXPCH	U.S. Exports of Goods by F.A.S. Basis to Mainland China	Millions of Dollars	Monthly	1985
NETEXC	Real Net Exports of Goods and Services	Billions of Chained 2017 Dollars	Quarterly	1947
IMPMX	U.S. Imports of Goods by Customs Basis from Mexico	Millions of Dollars	Monthly	1985
BOPTIMP	Imports of Goods and Services: Balance of Payments Basis	Millions of Dollars	Monthly	1992
CBI	Change in Private Inventories	Billions of Dollars	Quarterly	1939
IMPCA	U.S. Imports of Goods by Customs Basis from Canada	Millions of Dollars	Monthly	1985
EXPCA	U.S. Exports of Goods by F.A.S. Basis to Canada	Millions of Dollars	Monthly	1985
IEAXGS	Exports of goods and services	Millions of Dollars	Quarterly	1999
BOGZ1FL564090005Q	Exchange-Traded Funds; Total Financial Assets, Level	Millions of U.S. Dollars	Quarterly, End of Period	1945

All 50 series: series.csv. Browse them at https://finzdata.com/macro/category/orders-trade.

More from FinzData

• Every macro category: https://huggingface.co/FinzData · index on GitHub: https://github.com/FinzData/macro-data
• Survivorship-free US stock prices since 2000, COT positioning, 13F holdings, insider trades, short interest
• Pricing (history bundles from $195 once): https://finzdata.com/pricing
• Python client (open source): https://github.com/FinzData/finzdata-python

Source: U.S. government agencies via FRED/ALFRED (Federal Reserve Bank of St. Louis). Compiled by FinzData. Data for research, not investment advice.