Add documentation about ohlcv_partial_candle

docs/developer.md

@@ -183,17 +183,19 @@ raw = ct.fetch_ohlcv(pair, timeframe=timeframe)
 # convert to dataframe
 df1 = parse_ticker_dataframe(raw, timeframe, pair=pair, drop_incomplete=False)
 
-print(df1["date"].tail(1))
+print(df1.tail(1))
 print(datetime.utcnow())
 ```
 
 ``` output
-19   2019-06-08 00:00:00+00:00
+                         date      open      high       low     close  volume  
+499 2019-06-08 00:00:00+00:00  0.000007  0.000007  0.000007  0.000007   26264344.0  
 2019-06-09 12:30:27.873327
 ```
 
 The output will show the last entry from the Exchange as well as the current UTC date.
 If the day shows the same day, then the last candle can be assumed as incomplete and should be dropped (leave the setting `"ohlcv_partial_candle"` from the exchange-class untouched / True). Otherwise, set `"ohlcv_partial_candle"` to `False` to not drop Candles (shown in the example above).
+Another way is to run this command multiple times in a row and observe if the volume is changing (while the date remains the same).
 
 ## Updating example notebooks