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series_id
large_stringclasses
81 values
date
date32
value
float64
0.56
18k
ARGCCUSMA02STM
2025-11-01
1,428.8875
ARGCCUSMA02STM
2025-12-01
1,447.217391
ARGCCUSMA02STM
2026-01-01
1,449.329545
ARGCCUSMA02STM
2026-02-01
1,407.75
ARGCCUSMA02STM
2026-03-01
1,395.681818
ARGCCUSMA02STM
2026-04-01
1,383.318182
ARGCCUSMA02STM
2026-05-01
1,397.690476
ARGCCUSMA02STM
2026-06-01
1,450.227273
ARGCCUSMA02STM
2026-07-01
1,486.228261
ARGCCUSMA02STM
2026-08-01
1,499.619048
ARGCCUSMA02STM
2026-09-01
1,513.806818
ARGCCUSMA02STQ
2026-01-01
1,417.587121
ARGCCUSMA02STQ
2026-04-01
1,410.411977
CCRETT01RUM661N
2025-11-01
126.9125
CCRETT01RUM661N
2025-12-01
129.2067
CCRETT01RUM661N
2026-01-01
129.8616
CCRETT01RUM661N
2026-02-01
130.321
CCRETT01RUM661N
2026-03-01
125.7553
CCRETT01RUM661N
2026-04-01
131.4495
CCRETT01RUM661N
2026-05-01
138.773
CCRETT01RUM661N
2026-06-01
138.376
CCRETT01RUM661N
2026-07-01
132.3466
CCRETT01RUM661N
2026-08-01
123.006
CCRETT01RUM661N
2026-09-01
121.4889
CCRETT01USM661N
2025-11-01
116.6373
CCRETT01USM661N
2025-12-01
115.2756
CCRETT01USM661N
2026-01-01
114.6781
CCRETT01USM661N
2026-02-01
113.2576
CCRETT01USM661N
2026-03-01
115.7798
CCRETT01USM661N
2026-04-01
115.4337
CCRETT01USM661N
2026-05-01
115.5083
CCRETT01USM661N
2026-06-01
116.2076
CCRETT01USM661N
2026-07-01
116.4717
CCRETT01USM661N
2026-08-01
114.837
CCRETT01USM661N
2026-09-01
114.9752
CCUSMA02BRM618N
2025-11-01
5.34024
CCUSMA02BRM618N
2025-12-01
5.456343
CCUSMA02BRM618N
2026-01-01
5.345191
CCUSMA02BRM618N
2026-02-01
5.203135
CCUSMA02BRM618N
2026-03-01
5.231282
CCUSMA02BRM618N
2026-04-01
5.036582
CCUSMA02BRM618N
2026-05-01
4.983633
CCUSMA02BRM618N
2026-06-01
5.123359
CCUSMA02BRM618N
2026-07-01
5.113648
CCUSMA02BRM618N
2026-08-01
5.152862
CCUSMA02BRM618N
2026-09-01
5.143541
CCUSMA02CAM618N
2025-11-01
1.40535
CCUSMA02CAM618N
2025-12-01
1.37913
CCUSMA02CAM618N
2026-01-01
1.377491
CCUSMA02CAM618N
2026-02-01
1.36489
CCUSMA02CAM618N
2026-03-01
1.371709
CCUSMA02CAM618N
2026-04-01
1.375818
CCUSMA02CAM618N
2026-05-01
1.372443
CCUSMA02CAM618N
2026-06-01
1.404023
CCUSMA02CAM618N
2026-07-01
1.411161
CCUSMA02CAM618N
2026-08-01
1.390433
CCUSMA02CAM618N
2026-09-01
1.396668
CCUSMA02CAQ618N
2026-01-01
1.371363
CCUSMA02CAQ618N
2026-04-01
1.384095
CCUSMA02CAQ618N
2026-07-01
1.399421
CCUSMA02CLM618N
2025-11-01
934.79846
CCUSMA02CLM618N
2025-12-01
913.944991
CCUSMA02CLM618N
2026-01-01
882.682968
CCUSMA02CLM618N
2026-02-01
862.716485
CCUSMA02CLM618N
2026-03-01
912.744777
CCUSMA02CLM618N
2026-04-01
898.301568
CCUSMA02CLM618N
2026-05-01
897.061167
CCUSMA02CLM618N
2026-06-01
905.438618
CCUSMA02CLM618N
2026-07-01
931.3202
CCUSMA02CLM618N
2026-08-01
918.110248
CCUSMA02CLM618N
2026-09-01
949.984995
CCUSMA02CNM618N
2025-11-01
7.109405
CCUSMA02CNM618N
2025-12-01
7.044696
CCUSMA02CNM618N
2026-01-01
6.972866
CCUSMA02CNM618N
2026-02-01
6.910298
CCUSMA02CNM618N
2026-03-01
6.89932
CCUSMA02CNM618N
2026-04-01
6.841702
CCUSMA02CNM618N
2026-05-01
6.802824
CCUSMA02CNM618N
2026-06-01
6.780352
CCUSMA02CNM618N
2026-07-01
6.778674
CCUSMA02CNM618N
2026-08-01
6.738702
CCUSMA02CNM618N
2026-09-01
6.71252
CCUSMA02CNQ618N
2026-01-01
6.927495
CCUSMA02CNQ618N
2026-04-01
6.808293
CCUSMA02CNQ618N
2026-07-01
6.743299
CCUSMA02DEM618N
2025-11-01
0.86494
CCUSMA02DEM618N
2025-12-01
0.853525
CCUSMA02DEM618N
2026-01-01
0.85192
CCUSMA02DEM618N
2026-02-01
0.845867
CCUSMA02DEM618N
2026-03-01
0.865518
CCUSMA02DEM618N
2026-04-01
0.854813
CCUSMA02DEM618N
2026-05-01
0.856178
CCUSMA02DEM618N
2026-06-01
0.868364
CCUSMA02DEM618N
2026-07-01
0.875591
CCUSMA02DEM618N
2026-08-01
0.862469
CCUSMA02DEM618N
2026-09-01
0.868611
CCUSMA02EZM618N
2025-11-01
0.86494
CCUSMA02EZM618N
2025-12-01
0.853525
CCUSMA02EZM618N
2026-01-01
0.85192
CCUSMA02GBM618N
2025-11-01
0.760857
End of preview. Expand in Data Studio

US macro data: FX (81 series)

81 fx 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-fx/data/long.parquet")      # series_id, date, value
wide = pd.read_parquet("hf://datasets/FinzData/macro-fx/data/wide_daily.parquet")  # one column per series

or datasets.load_dataset("FinzData/macro-fx"). Wide tables by frequency: wide_daily (26 series), wide_monthly (49 series), wide_quarterly (6 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("DTWEXBGS")                        # full history, latest values
c.macro("DTWEXBGS", vintage="first")       # as first released
c.macro("DTWEXBGS", as_of="2020-03-01")    # exactly what was known on that date
c.macro_series(category="fx")          # the catalogue for this category

Most-watched series in this package

ID Title Units Frequency Full history from
DTWEXBGS Nominal Broad U.S. Dollar Index Index Jan 2006=100 Daily 2006
DEXJPUS Japanese Yen to U.S. Dollar Spot Exchange Rate Japanese Yen to One U.S. Dollar Daily 1971
DEXUSEU U.S. Dollars to Euro Spot Exchange Rate U.S. Dollars to One Euro Daily 1999
DEXCHUS Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate Chinese Yuan Renminbi to One U.S. Dollar Daily 1981
DEXKOUS South Korean Won to U.S. Dollar Spot Exchange Rate South Korean Won to One U.S. Dollar Daily 1981
DEXUSUK U.S. Dollars to U.K. Pound Sterling Spot Exchange Rate U.S. Dollars to One U.K. Pound Sterling Daily 1971
DEXCAUS Canadian Dollars to U.S. Dollar Spot Exchange Rate Canadian Dollars to One U.S. Dollar Daily 1971
EXJPUS Japanese Yen to U.S. Dollar Spot Exchange Rate Japanese Yen to One U.S. Dollar Monthly 1971
DEXINUS Indian Rupees to U.S. Dollar Spot Exchange Rate Indian Rupees to One U.S. Dollar Daily 1973
RTWEXBGS Real Broad Dollar Index Index Jan 2006=100 Monthly 2006
DEXMXUS Mexican Pesos to U.S. Dollar Spot Exchange Rate Mexican Pesos to One U.S. Dollar Daily 1993
EXCHUS Chinese Yuan Renminbi to U.S. Dollar Spot Exchange Rate Chinese Yuan Renminbi to One U.S. Dollar Monthly 1981
EXUSEU U.S. Dollars to Euro Spot Exchange Rate U.S. Dollars to One Euro Monthly 1999
DEXUSAL U.S. Dollars to Australian Dollar Spot Exchange Rate U.S. Dollars to One Australian Dollar Daily 1971
DTWEXAFEGS Nominal Advanced Foreign Economies U.S. Dollar Index Index Jan 2006=100 Daily 2006
TWEXBGSMTH Nominal Broad U.S. Dollar Index Index Jan 2006=100 Monthly 1973
DEXBZUS Brazilian Reals to U.S. Dollar Spot Exchange Rate Brazilian Reals to One U.S. Dollar Daily 1995
DEXSZUS Swiss Francs to U.S. Dollar Spot Exchange Rate Swiss Francs to One U.S. Dollar Daily 1971
EXUSUK U.S. Dollars to U.K. Pound Sterling Spot Exchange Rate U.S. Dollars to One U.K. Pound Sterling Monthly 1971
DTWEXEMEGS Nominal Emerging Market Economies U.S. Dollar Index Index Jan 2006=100 Daily 2006
EXCAUS Canadian Dollars to U.S. Dollar Spot Exchange Rate Canadian Dollars to One U.S. Dollar Monthly 1971
EXINUS Indian Rupees to U.S. Dollar Spot Exchange Rate Indian Rupees to One U.S. Dollar Monthly 1973
DEXTHUS Thai Baht to U.S. Dollar Spot Exchange Rate Thai Baht to One U.S. Dollar Daily 1981
DEXVZUS Venezuelan Bolivares to U.S. Dollar Spot Exchange Rate Venezuelan Bolivares to One U.S. Dollar Daily 1995
EXMXUS Mexican Pesos to U.S. Dollar Spot Exchange Rate Mexican Pesos to One U.S. Dollar Monthly 1993

All 81 series: series.csv. Browse them at https://finzdata.com/macro/category/fx.

More from FinzData

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

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