diff --git a/baseline_recalc_ordering/tests/test_core.py b/baseline_recalc_ordering/tests/test_core.py
new file mode 100644
index 0000000..88f4a40
--- /dev/null
+++ b/baseline_recalc_ordering/tests/test_core.py
@@ -0,0 +1,49 @@
+import json
+import pytest
+from pathlib import Path
+
+from baseline_recalc_ordering import core
+
+def load_test_data():
+    data_path = Path(__file__).parent / "data" / "test_order_sequence.json"
+    if not data_path.exists():
+        # Fallback Testdaten, falls Datei nicht existiert
+        return ["opA", "opB", "opC"]
+    with data_path.open("r", encoding="utf-8") as f:
+        return json.load(f)
+
+
+def test_analyze_latency_structure_and_content(tmp_path):
+    order_sequence = load_test_data()
+    result = core.analyze_latency(order_sequence)
+
+    # Struktur prüfen
+    assert isinstance(result, dict), "Rückgabe muss dict sein"
+    assert "order_sequence" in result, "order_sequence-Feld fehlt"
+    assert "latency_metrics" in result, "latency_metrics-Feld fehlt"
+
+    # Feldtypen prüfen
+    assert isinstance(result["order_sequence"], list), "order_sequence muss Liste sein"
+    assert all(isinstance(x, str) for x in result["order_sequence"]), "order_sequence-Elemente müssen Strings sein"
+    assert isinstance(result["latency_metrics"], dict), "latency_metrics muss dict sein"
+
+    # Beispielhafte Keys prüfen
+    for key in ["mean", "median", "stdev"]:
+        assert key in result["latency_metrics"], f"Metrik '{key}' fehlt"
+        assert isinstance(result["latency_metrics"][key], (int, float)), f"Metrik '{key}' hat falschen Typ"
+
+
+def test_reproducible_results():
+    order_sequence = ["x", "y", "z"]
+    result1 = core.analyze_latency(order_sequence)
+    result2 = core.analyze_latency(order_sequence)
+    assert result1 == result2, "Gleiche Eingaben müssen gleiche Resultate ergeben"
+
+
+def test_empty_sequence_handling():
+    result = core.analyze_latency([])
+    assert isinstance(result, dict)
+    assert result["order_sequence"] == []
+    assert isinstance(result["latency_metrics"], dict)
+    assert "mean" in result["latency_metrics"]
+    assert result["latency_metrics"]["mean"] == 0
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