FXMacroData Python SDK 🐍📊
The FXMacroData Python SDK provides a simple and efficient interface for fetching macroeconomic indicators, forex prices, release calendars, COT positioning, and commodity prices from FXMacroData.
Use synchronous and asynchronous clients to bring the data into research notebooks, backtests and applications.
Subscribe to FXMacroData for non-USD data, full available history, FX, commodities and positioning. Use the public USD workflow to evaluate the integration before connecting your subscription.
🌟 Features
- Fetch:
- Macroeconomic indicators — policy rates, inflation, GDP, unemployment, bond yields, and more: 97 distinct indicators across 656 endpoints
- FX spot rates with optional technical indicators (SMA, RSI, MACD, Bollinger Bands)
- Release calendars — upcoming economic data release dates
- Data catalogue — discover available indicators per currency
- COT data — CFTC Commitment of Traders positioning
- Commodity prices — gold, silver, platinum
- Evaluate with public USD macro data covering the most recent 90 days; connect your FXMacroData subscription for full available history.
- FX spot-rate history through
get_fx_price. - A key from an authorized FXMacroData subscription is required for protected datasets, including non-USD indicators, FX spot-rate history, COT, and commodities.
- Full support for:
- Synchronous client
- Asynchronous client
- Lightweight: depends only on
requestsandaiohttp.
📦 Installation
Install from PyPI:
pip install fxmacrodata
Or install the latest version from GitHub:
pip install git+https://github.com/fxmacrodata/fxmacrodata.git
🔧 Usage
Synchronous
from fxmacrodata import Client
client = Client(api_key="YOUR_API_KEY")
# Fetch macroeconomic indicators
data = client.get_indicator(
"aud", "policy_rate",
start_date="2023-01-01",
end_date="2023-11-01"
)
print(data)
# Forex price endpoint
fx = client.get_fx_price("usd", "gbp", start_date="2025-01-01")
print(fx)
# Forex with technical indicators
fx = client.get_fx_price("eur", "usd", indicators="sma_20,rsi_14,macd")
print(fx)
# Release calendar
calendar = client.get_calendar("usd")
print(calendar)
# Data catalogue — discover available indicators
catalogue = client.get_data_catalogue("usd")
print(catalogue)
# COT positioning data
cot = client.get_cot("eur", start_date="2025-01-01")
print(cot)
# Commodity prices
gold = client.get_commodities("gold", start_date="2026-01-01")
print(gold)
Asynchronous
import asyncio
from fxmacrodata import AsyncClient
async def main():
async with AsyncClient(api_key="YOUR_API_KEY") as client:
# Fetch macroeconomic indicators
data = await client.get_indicator("eur", "inflation")
print(data)
# Forex price endpoint
fx = await client.get_fx_price("usd", "jpy")
print(fx)
# Release calendar
calendar = await client.get_calendar("usd")
print(calendar)
# Data catalogue
catalogue = await client.get_data_catalogue("usd")
print(catalogue)
# COT positioning
cot = await client.get_cot("jpy")
print(cot)
# Commodity prices
gold = await client.get_commodities("gold")
print(gold)
asyncio.run(main())
Timeouts and errors
Every request has a 30-second timeout by default. Change it per client:
Client(api_key="YOUR_API_KEY", timeout=60) # seconds
Client(api_key="YOUR_API_KEY", timeout=(3.05, 120)) # (connect, read)
AsyncClient(api_key="YOUR_API_KEY", timeout=60) # total seconds
All errors are FXMacroDataError or one of its subclasses:
| Exception | Raised when |
|---|---|
FXMacroDataAPIError |
The API returns a non-200 status (.status_code is set). |
FXMacroDataResponseError |
The API returns 200 but the body is an error message or not a JSON object. |
FXMacroDataTimeoutError |
The request exceeds the timeout. |
FXMacroDataTransportError |
The connection fails (DNS, TLS, network). |
FXMacroDataRedirectError |
A redirect would send your API key to a different origin, so it is refused. |
Your API key is never included in error messages, and it is only sent over HTTPS to the origin you configured: redirects to another host or to plain HTTP are refused rather than followed with the key attached.
OpenBB Integration
FXMacroData supports all practical OpenBB integration paths from this package:
- OpenBB Python: installable provider/router extension for
obb.fxmacrodata.*. - OpenBB REST API:
/api/v1/fxmacrodata/*routes throughopenbb-api. - OpenBB Workspace, generated: widgets generated by
openbb-apifrom inline metadata. - OpenBB Workspace, custom: standalone backend serving
widgets.json,apps.json, and data endpoints. - OpenBB MCP: tools exposed through
openbb-mcp. - OpenBB CLI: commands available after
openbb-build.
OpenBB packages require Python 3.10+. Install the OpenBB Python extra:
pip install "fxmacrodata[openbb]"
openbb-build
Then use FXMacroData from the OpenBB Python interface:
from openbb import obb
obb.user.credentials.fxmacrodata_api_key = "YOUR_API_KEY"
catalogue = obb.fxmacrodata.data_catalogue(
currency="USD",
provider="fxmacrodata",
).to_df()
inflation = obb.fxmacrodata.macro_indicators(
currency="USD",
indicator="inflation",
start_date="2020-01-01",
provider="fxmacrodata",
).to_df()
eurusd = obb.fxmacrodata.fx_historical(
base="EUR",
quote="USD",
start_date="2024-01-01",
provider="fxmacrodata",
).to_df()
Run the OpenBB REST API and generated Workspace backend:
pip install "fxmacrodata[openbb-api]"
openbb-build
fxmacrodata-openbb-api --host 127.0.0.1 --port 6900
Workspace can be connected to http://127.0.0.1:6900. The generated
/widgets.json uses FXMacroData's inline OpenBB widget metadata.
Run the OpenBB Workspace custom backend:
pip install "fxmacrodata[workspace]"
fxmacrodata-openbb-backend
Default backend URL:
http://127.0.0.1:7779
Workspace exposes /widgets.json, /apps.json, /catalogue,
/release_calendar, /macro_indicator, /forex, /cot, and /commodity.
Swagger/OpenAPI docs are disabled by default for this backend. For local
debugging only, set FXMACRODATA_OPENBB_ENABLE_DOCS=1 before starting it.
Run OpenBB MCP:
pip install "fxmacrodata[mcp]"
openbb-build
fxmacrodata-openbb-mcp --default-categories fxmacrodata --host 127.0.0.1 --port 8001
Run OpenBB CLI:
pip install "fxmacrodata[openbb-cli]"
openbb-build
openbb
See docs/openbb-integration.md for the full integration matrix and the
separate upstream OpenBB repository contribution path.
📘 API Overview
get_indicator(currency, indicator, start_date=None, end_date=None)
Fetches macroeconomic indicator time series data.
currency:"usd","aud","eur","gbp","cad","nok","nzd","jpy","brl","cny","dkk","pln","sek","sgd", etc.indicator:"policy_rate","inflation","gdp","unemployment","trade_balance","current_account_balance","gov_bond_10y", etc.- API key required for non-USD.
get_fx_price(base, quote, start_date=None, end_date=None, indicators=None)
Fetches daily FX spot rates between two currencies.
indicators: Optional comma-separated technical indicators —"sma_20","sma_50","sma_200","rsi_14","macd","ema_12","ema_26","bollinger_bands", or"all".- API key required.
get_calendar(currency, indicator=None)
Fetches upcoming economic data release dates for a currency.
indicator: Optional filter to a specific indicator slug.- Returns
announcement_datetime(Unix timestamp) andrelease(indicator slug).
get_data_catalogue(currency, include_capabilities=False, include_coverage=False, indicator=None)
Discovers available macroeconomic indicators for a given currency.
- Returns a dict keyed by indicator slug with
name,unit,frequency, andhas_official_forecast. - API key required for non-USD.
get_cot(currency, start_date=None, end_date=None)
Fetches CFTC Commitment of Traders (COT) positioning data.
- Supported currencies:
AUD,CAD,CHF,EUR,GBP,JPY,NZD,USD. - API key required for non-USD.
get_commodities(indicator, start_date=None, end_date=None)
Fetches commodity price time series.
indicator:"gold","silver", or"platinum".- API key required.
💹 Supported Currencies & Indicators
18 currencies supported: AUD, BRL, CAD, CHF, CNH, CNY, DKK, EUR, GBP, ILS, JPY, NGN, NOK, NZD, PEN, SEK, THB, USD.
The table below shows a sample of indicator coverage across four major currencies. Use get_data_catalogue() to discover the full list for any currency.
| Category | Metric | USD | EUR | AUD | GBP |
|---|---|---|---|---|---|
| Economy | GDP Growth | ✓ | ✓ | ✓ | ✓ |
| Inflation Rate | ✓ | ✓ | ✓ | ✓ | |
| Trade Balance | ✓ | ✓ | ✓ | ✓ | |
| Current Account Balance | ✓ | ✓ | ✓ | ✓ | |
| Retail Sales | ✓ | ✓ | ✓ | ✓ | |
| Industrial Production | ✓ | — | — | — | |
| Labor Market | Unemployment Rate | ✓ | ✓ | ✓ | ✓ |
| Employment Level | ✓ | ✓ | ✓ | ✓ | |
| Full-Time Employment | ✓ | ✓ | ✓ | — | |
| Part-Time Employment | ✓ | ✓ | ✓ | ✓ | |
| Participation Rate | ✓ | ✓ | ✓ | ✓ | |
| Non-Farm Payrolls | ✓ | — | — | — | |
| Monetary Policy | Policy Rate | ✓ | ✓ | ✓ | ✓ |
| Risk-Free Rate | ✓ | ✓ | ✓ | ✓ | |
| Central Bank Assets | ✓ | — | ✓ | — | |
| Government Bond Yields | 2-Year Govt Bond | ✓ | ✓ | ✓ | ✓ |
| 5-Year Govt Bond | ✓ | ✓ | ✓ | ✓ | |
| 10-Year Govt Bond | ✓ | ✓ | ✓ | ✓ | |
| Inflation-Linked Bond | ✓ | ✓ | ✓ | ✓ |
📄 License
MIT License © FXMacroData
🌐 Links
- Website: https://fxmacrodata.com/?utm_source=github&utm_medium=referral&utm_campaign=fxmacrodata&utm_content=readme
- API Docs: https://fxmacrodata.com/docs?utm_source=github&utm_medium=referral&utm_campaign=fxmacrodata&utm_content=readme
- GitHub: https://github.com/fxmacrodata/fxmacrodata
- PyPI: https://pypi.org/project/fxmacrodata/
- Readthedocs: https://fxmacrodata.readthedocs.io/en/latest/
- Zenodo: https://zenodo.org/records/18280968
Metadata
Release files for fxmacrodata 1.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| fxmacrodata-1.2.2.tar.gz | 37.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| fxmacrodata-1.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 71.8 kB
Release files / fxmacrodata-1.2.2.tar.gz
| Download URL | fxmacrodata-1.2.2.tar.gz |
|---|---|
| Size | 37.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
8fcd2159f5e78e4ba534f2fd122959269fbb8e176f128de938441f709cede62a
|
|
BLAKE2b-256 checksum How to use checksums |
9c4e25b7ce9441a8414527aa505bb5e97178b9261a21fbeb14cc85e59e58950e
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.16
|
Release files / fxmacrodata-1.2.2-py3-none-any.whl
| Download URL | fxmacrodata-1.2.2-py3-none-any.whl |
|---|---|
| Size | 34.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
1472b842f605fb374ce5ee81b38dc03cdbcba1c38b192be85b0165aa09b84323
|
|
BLAKE2b-256 checksum How to use checksums |
fa74e162fb3c2eb5950045fec0e19327e95b7295c7132a6bc9534306e8cbc928
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.11.16
|