I've been wrestling with what I'm seeing in multiple series charts. It seems like the first series defines the x axis coordinates to be used in plotting all subsequent series.
Trying many chart formats, they all seem to behave the same.
In the chart below you can see only the 1st Series time was used as x axis coordinates.
1st Series(blue) 2nd Series(brown)
12:00:00, 1000 12:00:00, 1000.0
12:00:04, 999.93 12:00:01, 999.65
12:00:08, 1000.44 12:00:02, 999.36
12:00:11, 1000.43 12:00:03, 999.45
12:00:14, 999.97 12:00:08, 998.89
12:00:17, 999.77 12:00:11, 998.89
12:00:20, 999.94 12:00:16, 999.77
12:00:24, 1000.60 12:00:17, 1000.18
12:00:29, 1001.03 12:00:21, 999.43
12:00:31, 1001.12 12:00:22, 999.63
![](data:image/png;base64,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)
This may be connected to a separate thread where a SfDateTimeRangeNavigator does not seem to align axis with the underlying chart.