When using the command hist = data.history(context.aapl, 'volume', 10, '1m') and testing from
08/24/17 to 8/25/17 the values it returns seem odd to me. For example, at 9:33 on 8/24 it uses the values below:
2017-08-23 19:54:00+00:00 52136.0
2017-08-23 19:55:00+00:00 45886.0
2017-08-23 19:56:00+00:00 62649.0
2017-08-23 19:57:00+00:00 79221.0
2017-08-23 19:58:00+00:00 103543.0
2017-08-23 19:59:00+00:00 138552.0
2017-08-23 20:00:00+00:00 351770.0
2017-08-24 13:31:00+00:00 362637.0
2017-08-24 13:32:00+00:00 134127.0
2017-08-24 13:33:00+00:00 126430.0
What is the logic behind choosing the values for 8/23 at the given times, but more importantly why is it using
values for 8/24 that are in the future?