fix: coerce bot_managed to bool in _rpc_get_historic_balance

read_sql may return the wallet_history `bot_managed` Boolean column as an
integer dtype (e.g. MySQL/MariaDB TINYINT). results.loc[results["bot_managed"]]
then does label-based indexing instead of boolean masking, raising a KeyError
on GET /api/v1/historic_balance (HTTP 500). Coerce with .astype(bool).

freqtrade/rpc/rpc.py

@@ -795,8 +795,10 @@ class RPC:
 
         results = results.rename({"timestamp": "date"}, axis=1)
         results.loc[:, "__date_ts"] = results.loc[:, "date"].dt.as_unit("ms").astype("int64")
-        # Exclude non-bot managed for now
-        results_filtered = results.loc[results["bot_managed"]]
+        # Exclude non-bot managed rows. Coerce to bool: read_sql may return the
+        # Boolean column as an integer dtype (e.g. MySQL/MariaDB), which would
+        # make .loc do label-based indexing instead of boolean masking.
+        results_filtered = results.loc[results["bot_managed"].astype(bool)]
 
         results_final = (
             results_filtered.groupby(["date", "__date_ts"])

tests/rpc/test_rpc_apiserver.py

@@ -1471,6 +1471,40 @@ def test_api_historic_balance(botclient, mocker, ticker, fee, markets, is_short)
     assert "total_quote" in resp1["columns"]
 
 
+def test_api_historic_balance_int_bot_managed(botclient, mocker):
+    """Regression: read_sql may return the wallet_history `bot_managed` Boolean
+    column as an integer dtype (e.g. MySQL/MariaDB TINYINT); the `.loc[...]`
+    filter must boolean-mask, not label-index."""
+    _, client = botclient
+
+    # Single bot-managed row: with an int64 `bot_managed`, label-based `.loc`
+    # indexing looks up label 1, which the RangeIndex lacks -> KeyError -> 500.
+    one_row = pd.DataFrame(
+        {
+            "timestamp": pd.to_datetime(["2024-01-01"]),
+            "total_quote": [100.0],
+            "bot_managed": [1],
+        }
+    ).astype({"bot_managed": "int64"})
+    mocker.patch("freqtrade.rpc.rpc.read_sql", return_value=one_row)
+    rc = client_get(client, f"{BASE_URI}/historic_balance")
+    assert_response(rc, 200)
+    assert rc.json()["length"] == 1
+
+    # Mixed rows: the non-bot-managed row (bot_managed=0) must be excluded.
+    two_rows = pd.DataFrame(
+        {
+            "timestamp": pd.to_datetime(["2024-01-01", "2024-01-02"]),
+            "total_quote": [100.0, 200.0],
+            "bot_managed": [0, 1],
+        }
+    ).astype({"bot_managed": "int64"})
+    mocker.patch("freqtrade.rpc.rpc.read_sql", return_value=two_rows)
+    rc = client_get(client, f"{BASE_URI}/historic_balance")
+    assert_response(rc, 200)
+    assert rc.json()["length"] == 1
+
+
 def test_api_performance(botclient, fee):
     ftbot, client = botclient
     patch_get_signal(ftbot)