Based on historical statistics, Friday shows a negative bias.
Attachment 28071
Based on historical statistics, Thursday shows a positive bias.
Attachment 28070
Based on historical statistics, Friday shows a negative bias.
Attachment 28071
Based on historical statistics, Monday shows a negative bias.
Attachment 28072
Here's an example of how these stats are read, these are not current
Attachment 28073
Seasonal prediction seems to failed us this week.
Strong seasonal patterns should be looked at while keeping the Linear Regression principle in mind. If price sways too strongly in one direction, it eventually must balance out and come back to the line. While the winning ratio on Tuesday & Wednesday was not right, the size of the moves were (when looking at the average positive/negative gains.) For myself, I try to step back and look at stats from a distant view, for me it's a single tool, we still have the charts to look at the here & now
Last edited by JTH; 04-10-2014 at 01:05 PM.
Going back to 1950, of the 16,000 plus trading days, today's -2.09% loss ranks in the bottom 2 percentile.
With the chart below, statistically speaking this Friday's winning ratio is split even with the average positive/negative gains higher than the norm. Based on this data, I would expect to see a +/-1% day tomorrow.
Attachment 28095
Attachment 28096
Last edited by jonfresno; 04-11-2014 at 04:01 PM.
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