[BugFix] Fix yFinance end_date filter when not intraday. (#6302)

* fix filtering by date

* timedelta as minutes

---------

Co-authored-by: Igor Radovanovic <74266147+IgorWounds@users.noreply.github.com>

openbb_platform/providers/yfinance/openbb_yfinance/utils/helpers.py

@@ -100,19 +100,22 @@ def yf_download(
     """Get yFinance OHLC data for any ticker and interval available."""
     symbol = symbol.upper()
     _start_date = start_date
-
+    intraday = False
     if interval in ["60m", "1h"]:
         period = "2y" if period in ["5y", "10y", "max"] else period
         _start_date = None
+        intraday = True
 
     if interval in ["2m", "5m", "15m", "30m", "90m"]:
         _start_date = (datetime.now().date() - relativedelta(days=58)).strftime(
             "%Y-%m-%d"
         )
+        intraday = True
 
     if interval == "1m":
         period = "5d"
         _start_date = None
+        intraday = True
 
     if adjusted is False:
         kwargs = dict(auto_adjust=False, back_adjust=False)
@@ -158,7 +161,6 @@ def yf_download(
         data = data.rename(columns={"Date": "date", "Datetime": "date"})
         data["date"] = data["date"].apply(pd.to_datetime)
         data = data[data["Open"] > 0]
-
         if start_date is not None:
             data = data[data["date"] >= pd.to_datetime(start_date)]
         if (
@@ -167,31 +169,19 @@ def yf_download(
             and pd.to_datetime(end_date) > pd.to_datetime(start_date)
         ):
             data = data[
-                data["date"] <= (pd.to_datetime(end_date) + relativedelta(days=1))
+                data["date"]
+                <= (
+                    pd.to_datetime(end_date)
+                    + relativedelta(minutes=719 if intraday is True else 0)
+                )
             ]
-
-        if period not in [
-            "max",
-            "1d",
-            "5d",
-            "1wk",
-            "1mo",
-            "3mo",
-            "6mo",
-            "1y",
-            "2y",
-            "5y",
-            "10y",
-        ]:
+        if intraday is True:
             data["date"] = data["date"].dt.strftime("%Y-%m-%d %H:%M:%S")
-        if interval not in ["1m", "2m", "5m", "15m", "30m", "90m", "60m", "1h"]:
+        else:
             data["date"] = data["date"].dt.strftime("%Y-%m-%d")
-
         if adjusted is False:
             data = data.drop(columns=["Adj Close"])
-
         data.columns = data.columns.str.lower().str.replace(" ", "_").to_list()
-
     return data