diff --git a/finance/Makefile b/finance/Makefile
index 8b9719e15234..e595bd63179c 100644
--- a/finance/Makefile
+++ b/finance/Makefile
@@ -110,6 +110,7 @@
     SUBDIR += py-finnhub-python
     SUBDIR += py-finviz
     SUBDIR += py-finvizfinance
+    SUBDIR += py-fredapi
     SUBDIR += py-fundamentalanalysis
     SUBDIR += py-investiny
     SUBDIR += py-investpy
diff --git a/finance/py-fredapi/Makefile b/finance/py-fredapi/Makefile
new file mode 100644
index 000000000000..63d6259f22cc
--- /dev/null
+++ b/finance/py-fredapi/Makefile
@@ -0,0 +1,27 @@
+PORTNAME=	fredapi
+DISTVERSIONPREFIX=	v
+DISTVERSION=	0.5.0
+CATEGORIES=	finance python
+#MASTER_SITES=	CHEESESHOP # no tests
+PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}
+
+MAINTAINER=	yuri@FreeBSD.org
+COMMENT=	Python API for Federal Reserve Economic Data (FRED) from St. Louis Fed
+WWW=		https://github.com/mortada/fredapi
+
+LICENSE=	APACHE20
+LICENSE_FILE=	${WRKSRC}/LICENSE
+
+PY_DEPENDS=	${PYTHON_PKGNAMEPREFIX}pandas>=0.15:math/py-pandas@${PY_FLAVOR}
+BUILD_DEPENDS=	${PY_DEPENDS}
+RUN_DEPENDS=	${PY_DEPENDS}
+
+USES=		python
+USE_PYTHON=	distutils autoplist pytest # 1 test fails, see https://github.com/mortada/fredapi/issues/60
+
+USE_GITHUB=	yes
+GH_ACCOUNT=	mortada
+
+NO_ARCH=	yes
+
+.include <bsd.port.mk>
diff --git a/finance/py-fredapi/distinfo b/finance/py-fredapi/distinfo
new file mode 100644
index 000000000000..eb98eff42b37
--- /dev/null
+++ b/finance/py-fredapi/distinfo
@@ -0,0 +1,3 @@
+TIMESTAMP = 1672179382
+SHA256 (mortada-fredapi-v0.5.0_GH0.tar.gz) = 8a81e2e427e3da463bde5df479985bffe686872ea7435ac2194c46dff7be49a4
+SIZE (mortada-fredapi-v0.5.0_GH0.tar.gz) = 15167
diff --git a/finance/py-fredapi/pkg-descr b/finance/py-fredapi/pkg-descr
new file mode 100644
index 000000000000..e0baa69dab54
--- /dev/null
+++ b/finance/py-fredapi/pkg-descr
@@ -0,0 +1,4 @@
+fredapi is a Python API for the FRED data provided by the Federal Reserve Bank
+of St. Louis. fredapi provides a wrapper in python to the FRED web service,
+and also provides several convenient methods for parsing and analyzing
+point-in-time data (i.e. historic data revisions) from ALFRED.