diff --git a/cv_last_cycle.py b/cv_last_cycle.py
new file mode 100644
index 0000000..42ce8f8
--- /dev/null
+++ b/cv_last_cycle.py
@@ -0,0 +1,93 @@
+"""Estrae l'ultimo ciclo completo da un CSV di voltammetria ciclica.
+
+Un "ciclo" e' definito dal susseguirsi di due inversioni di direzione dello
+stesso tipo del potenziale (es. massimo -> minimo -> massimo). Si parte
+dall'ultimo punto del file e si risale fino alla precedente inversione dello
+stesso tipo (stesso segno di curvatura), cosi' da ottenere un ciclo chiuso
+senza fermarsi su un punto vicino ma non ancora al vero picco.
+"""
+
+import csv
+import sys
+from pathlib import Path
+
+SUFFIX = "_ultimo_ciclo"
+
+
+def read_rows(path: Path) -> list[tuple[str, str]]:
+    with path.open("r", encoding="utf-8", newline="") as f:
+        reader = csv.reader(f, delimiter=";")
+        header = next(reader)
+        rows = [(row[0], row[1]) for row in reader]
+    return header, rows
+
+
+def find_turning_points(potentials: list[float]) -> list[tuple[int, str]]:
+    n = len(potentials)
+    turning: list[tuple[int, str]] = []
+    for i in range(1, n - 1):
+        if potentials[i - 1] < potentials[i] > potentials[i + 1]:
+            turning.append((i, "max"))
+        elif potentials[i - 1] > potentials[i] < potentials[i + 1]:
+            turning.append((i, "min"))
+
+    if n >= 2:
+        last_diff = potentials[-1] - potentials[-2]
+        if last_diff > 0:
+            turning.append((n - 1, "max"))
+        elif last_diff < 0:
+            turning.append((n - 1, "min"))
+
+    return turning
+
+
+def last_cycle_bounds(potentials: list[float]) -> tuple[int, int]:
+    turning = find_turning_points(potentials)
+    if len(turning) < 2:
+        raise ValueError("dati insufficienti per identificare un ciclo completo")
+
+    end_idx, end_type = turning[-1]
+    start_idx = next(
+        (idx for idx, typ in reversed(turning[:-1]) if typ == end_type),
+        None,
+    )
+    if start_idx is None:
+        raise ValueError("impossibile trovare un ciclo chiuso (inversione precedente non trovata)")
+
+    return start_idx, end_idx
+
+
+def extract_last_cycle(input_path: Path, output_path: Path) -> None:
+    header, rows = read_rows(input_path)
+    potentials = [float(p.replace(",", ".")) for p, _ in rows]
+
+    start_idx, end_idx = last_cycle_bounds(potentials)
+    last_cycle_rows = rows[start_idx:end_idx + 1]
+
+    with output_path.open("w", encoding="utf-8", newline="") as f:
+        writer = csv.writer(f, delimiter=";")
+        writer.writerow(header)
+        writer.writerows(last_cycle_rows)
+
+
+def main(argv: list[str]) -> None:
+    folder = Path(argv[1]) if len(argv) > 1 else Path(__file__).parent
+    csv_files = sorted(
+        p for p in folder.glob("*.csv") if not p.stem.endswith(SUFFIX)
+    )
+
+    if not csv_files:
+        print(f"Nessun file .csv trovato in {folder}")
+        return
+
+    for csv_file in csv_files:
+        output_path = csv_file.with_name(csv_file.stem + SUFFIX + ".csv")
+        try:
+            extract_last_cycle(csv_file, output_path)
+            print(f"OK  {csv_file.name} -> {output_path.name}")
+        except ValueError as e:
+            print(f"SKIP {csv_file.name}: {e}")
+
+
+if __name__ == "__main__":
+    main(sys.argv)