Fix timestamp parsing for historical data on Windows

README.md

@@ -1,5 +1,15 @@
 # **NOTE**
 
+> **This is an improved fork of TvDatafeed.**
+>
+> - Windows compatibility: Dates before 1970 now work correctly when fetching historical data.
+> - Nologin method: Can fetch more than 5000 bars for some symbols (typically daily timeframe, e.g., XAUUSD:OANDA).
+> - See below for more details and usage notes.
+
+---
+
+# **NOTE**
+
 This is a fork of the original [TvDatafeed](https://github.com/rongardF/tvdatafeed.git) project by StreamAlpha. This fork has live data retrieving feature implemented. 
 More information about this will be found in the TvDatafeedLive section down below in the README.
 
@@ -63,6 +73,10 @@ tv = TvDatafeed()
 
 when using without login, following warning will be shown `you are using nologin method, data you access may be limited`
 
+**Note:** The nologin method now works for more than 5000 bars for some symbols (e.g., `XAUUSD:OANDA`). Try your symbol to check availability.
+
+This extended limit is typically available for the daily timeframe. Other intervals may still be restricted.
+
 ---
 
 ## Getting Data

tvDatafeed/main.py

@@ -162,14 +162,35 @@ def __send_message(self, func, args):
     @staticmethod
     def __parse_data(raw_data, is_return_dataframe:bool) -> List[List]:
         try:
-            out = re.search(r""""s":\[(.+?)\}\]""", raw_data).group(1)
+            out = re.search(r'"s":\[(.+?)\}\]', raw_data).group(1)
             x = out.split(',{"')
             data = list()
             volume_data = True
 
+            epoch = datetime.datetime(1970, 1, 1)
+
             for xi in x:
                 xi = re.split(r"\[|:|,|\]", xi)
-                ts = datetime.datetime.fromtimestamp(float(xi[4])) if is_return_dataframe else int(xi[4].split('.')[0])
+
+                if is_return_dataframe:
+                    try:
+                        ts_raw = float(xi[4])
+                    except ValueError:
+                        # malformed row, skip
+                        continue
+
+                    try:
+                        # works for negative timestamps too (pre-1970)
+                        ts = epoch + datetime.timedelta(0, ts_raw)
+                    except OverflowError:
+                        # insane timestamp, skip
+                        continue
+                else:
+                    try:
+                        ts = int(xi[4].split('.')[0])
+                    except ValueError:
+                        # malformed row, skip
+                        continue
 
                 row = [ts]