diff --git a/src/bo4e/com/tagesvektor.py b/src/bo4e/com/tagesvektor.py
new file mode 100644
index 000000000..3270bfc61
--- /dev/null
+++ b/src/bo4e/com/tagesvektor.py
@@ -0,0 +1,62 @@
+"""
+Contains Tagesvektor class and corresponding marshmallow schema for de-/serialization
+"""
+import datetime
+from typing import List
+
+import attr
+from marshmallow import fields, post_load
+
+from bo4e.com.com import COM, COMSchema
+from bo4e.com.zeitreihenwertkompakt import Zeitreihenwertkompakt, ZeitreihenwertkompaktSchema
+
+
+# pylint: disable=too-few-public-methods
+from bo4e.validators import check_list_length_at_least_one
+
+
+@attr.s(auto_attribs=True, kw_only=True)
+class Tagesvektor(COM):
+    """
+    Abbildung eines Tagesvektors eines beliebigen äquidistanten Zeitrasters
+    """
+
+    # required attributes
+    # for the validator see https://github.com/Hochfrequenz/BO4E-python/issues/261
+    tag: datetime.datetime = attr.ib(validator=attr.validators.instance_of(datetime.datetime))
+    """
+    Der Zeitpunkt ab dem die Werte ermittelt wurden.
+    Es kann entweder der Beginn des Strom- oder Gastages verwendet werden.
+    Der Zeitpunkt sollte eindeutig sein, d.h. sowohl Datum+Uhrzeit als auch den UTC-Offset spezifizieren.
+    """
+    # for the validator see also https://github.com/Hochfrequenz/BO4E-python/issues/262
+    # https://www.attrs.org/en/stable/api.html#attr.validators.deep_iterable
+    werte: List[Zeitreihenwertkompakt] = attr.ib(
+        validator=[
+            attr.validators.deep_iterable(
+                member_validator=attr.validators.instance_of(Zeitreihenwertkompakt),
+                iterable_validator=attr.validators.instance_of(list),
+            ),
+            check_list_length_at_least_one,
+        ]
+    )
+    """
+    Die Werte am angegebenen Tag;
+    In Kombination aus Zeitintervall und Tag lassen sich die Zeiten der Werte eindeutig konstruieren.
+    """
+
+
+class TagesvektorSchema(COMSchema):
+    """
+    Schema for de-/serialization of Tagesvektor
+    """
+
+    # required attributes
+    tag = fields.DateTime()
+    werte = fields.List(fields.Nested(ZeitreihenwertkompaktSchema))
+
+    # pylint: disable=no-self-use, unused-argument
+    @post_load
+    def deserialize(self, data, **kwargs) -> Tagesvektor:
+        """Deserialize JSON to Preisstaffel object"""
+        return Tagesvektor(**data)
diff --git a/tests/test_tagesvektor.py b/tests/test_tagesvektor.py
new file mode 100644
index 000000000..dd79be481
--- /dev/null
+++ b/tests/test_tagesvektor.py
@@ -0,0 +1,56 @@
+from datetime import datetime, timezone
+from decimal import Decimal
+
+import pytest  # type:ignore[import]
+
+from bo4e.com.tagesvektor import Tagesvektor, TagesvektorSchema
+from bo4e.com.zeitreihenwertkompakt import Zeitreihenwertkompakt
+from tests.serialization_helper import assert_serialization_roundtrip  # type:ignore[import]
+from tests.test_sigmoidparameter import example_sigmoidparameter  # type:ignore[import]
+
+
+class TestTagesvektor:
+    @pytest.mark.parametrize(
+        "tagesvektor, expected_json_dict",
+        [
+            pytest.param(
+                Tagesvektor(
+                    tag=datetime(2021, 12, 15, 5, 0, tzinfo=timezone.utc),
+                    werte=[
+                        Zeitreihenwertkompakt(
+                            wert=Decimal(40),
+                        ),
+                        Zeitreihenwertkompakt(
+                            wert=Decimal(50),
+                        ),
+                    ],
+                ),
+                {
+                    "tag": "2021-12-15T05:00:00+00:00",
+                    "werte": [
+                        {"wert": "40", "statuszusatz": None, "status": None},
+                        {"wert": "50", "statuszusatz": None, "status": None},
+                    ],
+                },
+            ),
+        ],
+    )
+    def test_serialization_roundtrip(self, tagesvektor: Tagesvektor, expected_json_dict: dict):
+        """
+        Test de-/serialisation of Preisstaffel.
+        """
+        assert_serialization_roundtrip(tagesvektor, TagesvektorSchema(), expected_json_dict)
+
+    def test_missing_required_attribute(self):
+        with pytest.raises(TypeError) as excinfo:
+            _ = Tagesvektor()
+
+        assert "missing 2 required" in str(excinfo.value)
+
+    def test_list_not_long_enough_attribute(self):
+        with pytest.raises(ValueError) as excinfo:
+            _ = Tagesvektor(tag=datetime(2021, 12, 15, 5, 0, tzinfo=timezone.utc), werte=[])
+
+        assert "List werte must not be empty" in str(excinfo.value)
+
+    # add tests for issues 261 and 262 here