[Seasonality] “Normalize” has been turned on by default. When “Normalize” is checked on, the data will converge at “0”, even if traders +/- days
The “Normalize” option in the Seasonality tool allows traders to set the seasonal performance strategies to begin at the same point to measure their relative performance to one another rather than their absolute levels. When setting the starting point as X # of days before or after the calendar event being used the measure the seasonality, the “Normalize” option would begin on that day rather than the calendar event. Now the normalization will always occur on the date of the calendar event, regardless of how many days before or after the event the graph shows.
This allows traders to see the seasonal performance of strategies around calendar events rather than around the days preceding or following calendar events.
[Seasonality] Added indicators to show the most recent 5 trading days
Traders now have the option to have the five most recent trading days marked with an “X” like how it’s displayed in regression charts in Sprd/Bfly. To turn on or off the green X indicators click the box labeled “Show Last 5 Pts.” This allows traders to not only easily identify the performance of the most recent trading days, but also which seasonality line is for the current eco calendar event cycle.
In the example below the green X’s represent the five most recent trading days and highlight that the orange line is the current seasonality trend line.
[Seasonality] Adjusted # of Days based on trading days, as opposed to calendar days
The tool for starting the seasonality graph before or after the eco calendar event anchor has been enhanced by now being tied to trading days rather than calendar days. Previously, if a trader entered “-7” days at least two or more of those days would be weekend days (non-trading days). In the new iteration of the tool, the days will only count those with active trading, so in the aforementioned example, it will now be the last 7 trading days before the anchor calendar event.