Merge pull request #1284 from ranaroussi/fix/financials-caching

Improve caching of financials data

yfinance/scrapers/fundamentals.py

@@ -195,7 +195,7 @@ def get_financials_time_series(self, timescale, keys: list, proxy=None) -> pd.Da
         url = ts_url_base + "&type=" + ",".join([timescale + k for k in keys])
         # Yahoo returns maximum 4 years or 5 quarters, regardless of start_dt:
         start_dt = datetime.datetime(2016, 12, 31)
-        end = (datetime.datetime.now() + datetime.timedelta(days=366))
+        end = pd.Timestamp.utcnow().ceil("D")
         url += "&period1={}&period2={}".format(int(start_dt.timestamp()), int(end.timestamp()))
 
         # Step 3: fetch and reshape data

yfinance/scrapers/quote.py

@@ -194,9 +194,11 @@ def _scrape_complementary(self, proxy):
             for k in keys:
                 url += "&type=" + k
             # Request 6 months of data
-            url += "&period1={}".format(
-                int((datetime.datetime.now() - datetime.timedelta(days=365 // 2)).timestamp()))
-            url += "&period2={}".format(int((datetime.datetime.now() + datetime.timedelta(days=1)).timestamp()))
+            start = pd.Timestamp.utcnow().floor("D") - datetime.timedelta(days=365 // 2)
+            start = int(start.timestamp())
+            end = pd.Timestamp.utcnow().ceil("D")
+            end = int(end.timestamp())
+            url += f"&period1={start}&period2={end}"
 
             json_str = self._data.cache_get(url=url, proxy=proxy).text
             json_data = json.loads(json_str)