Instead of doing the rollover by creating a new PerformancePeriod,
introduces a `rollover` method that resets the values that need
to be fresh in a new period, and moves the ending values to starting
values, and leaves positions intact.
This isn't a major runtime improvement in of itself, but it does
allow us to more easily keep track of position values from period
to period, which other improvements will use.
Instead of doing the rollover by creating a new PerformancePeriod,
introduces a `rollover` method that resets the values that need
to be fresh in a new period, and moves the ending values to starting
values, and leaves positions intact.
This isn't a major runtime improvement in of itself, but it does
allow us to more easily keep track of position values from period
to period, which other improvements will use.
Previously, the list was generated, but only used to calculate
the number of days in the environment.
With exposing this list, working towards a path where the simulation
uses the trading days to determine when to handle market closes.
There are only 6 trading days between the open and close specified
in test_perf test.
Also, removes getting the period_end off of the last trade,
since the test can now use the end date specified for the trading
environment.
Previously, on days that were trading days, but there with no
event data to process for that day, performance metrics were
not emitted, since the handling was based on having an event
trigger the daily performance metric.
Handled by grouping together performance messages, on market open,
for all days since the last market close.
Also, changes perf_tracker unit test to simulate missing data.
Taken from @richafrank's branch handling the same case.
The main bottle neck here was using `len`.
A boolean check is a sufficient test for more items in the queue.
Also, uses all instead of several functions.
To handle, for instance, Columbus Day (Oct 10),
on which there is no treasury data.
We're only forward-filling data now, and
no longer searching both back and forward in time.
Moved grouping by date earlier in the pipeline of generators,
prior to any date-dependent state getting involved. Grouping
pulls from the pipeline until the start of the next group,
which is in the next day. The effect of grouping after
slippage but before handle_data is that slippage and the algo
are out of sync by a transaction.
We were only incrementing the risk report by one day, and never
checking to see if that day we incremented into was a trading day
or not.
We now increment by day until we are on a trading day.
With an assist from @twiecki on:
Adapted test_risk_compare_batch_iterative to work with fixed
iterative risk class.
Thomas Wiecki