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* Adjust lower-resolution fill-forwarded daily bars when strict end times is enabled
This allows to get fill-forwarded bars with unchanged time stamps
* Minor fixes
* Minor test data changes
* Fixes and comments
* Address peer review and add some fixes
* Minor fix and add regression algorithm
* Minor fix
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* Default daily precise end times
- Enable by default daily precise end times. Updating stats
- Minor fix for algorithm manager consolidator updates, adding new regression test
asserting behavior and updating others
- Minor fix for SubscriptionData creator avoid round down on warmup if
not appropiate
- Adjust consolidators to emit on daily strict end times if requested
daily resolution and setting enabled
- Updating regression algorithms
* Skip daily data on extended market hours
* Some cleanup and self review
* Revert unrequired change
* Daily data Time & EndTime Improvement
- Adjust daily data Time & EndTime to actually reflect the time of the
data used, for example US Equity from 9.30 to 4PM. Adding new unit and
regression tests
* Refactor solution to use enumerator
- Refactor daily strict end times solution to be through enumerator
usage, so it applies for history providers too
* Minor fixes
* Revert fill forward enumerator change
- Revert FillForward enumerator causing stats changing, enhancing unit
tests
* Some cleanup
* Improve handling of live trading FF enumerator
- Improve handling of live trading FF enumerator, by adding support for
bars to arrive with a delay so we can handle auction close/option
prices or data providers which might have some delay making the data
available. Adding new unit tests asserting the behavior
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* Respect warmup resolution given
- The data feed will respect the warmup resolution given and override
the resolution used by the algorithm when adding a subscription.
Updating regression algorithm to keep previous statistics. Adding new
regression algorithm asserting the desired behavior
* Testing improvements
- Add more unit tests and regresion test
- Add missing data for crypto
- Fix bug with FFed data crossing after the end time of the warmup
request
* Add more Warmup resolution regression algorithms
- Adding more warmup resolution regression algorithms, using
Settings.WarmupResolution and an option selection case
* Add more warmup regression tests
- Adding more warmup regression tests.
- Will no longer skip universe selection subscriptions from warmup
resolution enforcement. Updating regression algorithms data points
* Fix bug with data rounding
- Fix data rounding bug when warmup resolution is set to a different
value than the original configuration. Updating regression algorithms
to assert the expected behavior
* Address reviews
- Revert regression algorithms changes to use Resolution during warmup.
Updating their stats.
- Adding new regression algorithms asserting the behavior warming up
using a timespan and no warmup resolution
- Fix bug where data used to warmup the 'normal' enumerator will make it
through into the warmup time span. Updating tests
* Address reviews
- Add missing comments, explaning warmup algorithms time span
calculations.
- Revert changes in existing `WarmupOptionTimeSpanRegressionAlgorithm`
to reduce diff to minimum
- Adding new warmup unit tests asseting algorithm warmup start time, for
different combinations of bar count, timespan, resolution
* Do not update price scale for fillforward data
- Do no update price scale for fill forward data. FillForward data
should keep using the prev scale for which it was created. Adding unit tests
- When cloning do not lose IsFillForward flag state, affects
QuoteBars/Ticks, does not affect TradeBars since they perform a memberwise clone.
Adding unit tests
* Auxiliaries shouldn't really affect on applied price factor scale.
Despite we can receeive FillForward'ed data points, corresponding
Auxiliaries for them are not FillForward so we do meet the condition
and then refresh price factor. As a result all futher FF data points are scaled too.
* Regression algorithm to check that FillForward'ed data points arrived with last real price factor
* Add trade for regression algorithm
- Minot tweaks and adding trade for new regression algorithm.
- Updating AddOptionContractExpiresRegressionAlgorithm because it is
using the symbol for which new data was added.
Co-authored-by: Adalyat Nazirov <aenazirov@gmail.com>
* Calculate both raw and adjuasted prices for backtesting
* disable second price factoring
* move and reuse method
* test coverage for new methods
* reuse scaling method
* reuse subscriptionData.Create method
* removed unused code
* regression test
* switch to aapl
* fix regression test output
* more asserts
* fix comments - reduce shortcuts and abbrevation
* more comments
* merge parameters
* reduce number of getting price factors
* fix tests
* fix tests
* fix regression tests
* calculate TotalReturn on demand
* include TotalReturn calculations
* perf tuning
* more unit tests for SubscriptionData.Create
* simplify things - store and return only raw and precalculated data
* fix regression tests; change it back
* factor equals 1 for Raw data
* small changes
* follow code style
* implement backward compatibility
* The original implementation was made with the idea in mind that bars
have a time range that they encompass. When the `Time` property is
rounded down, the period added to `EndTime` ensures that the data
will not have look-ahead bias.
However, multiple data sources do not have a time range that the data
applies to, and is actually point-in-time. For these kinds of
data, rounding of the data is not preferred since they are supposed
to represent a point in time.
- Adding new `SubscriptionDataEnumerator` to fix broken enumerator Dipose chain
- Adding `Dispose` calls on enumerators in unit tests
- Fix unit test HandlesCoarseFundamentalData
A large percentage of synchronization time is spent performing time zone conversions.
Previously, it was possible that we may compute the same tz conversion multiple times
on the same piece of data until it's emitted. This change moves the time zone conversion
logic onto the data feed thread right before it puts the data into enqueueable enumerator.
In addition, we're not performing the clone operation at the same moment. This removes
unnecessary computation while moving the necessary computation to the data feed thread to
lighten the load on the synchronization/algorithm thread.
Jhonathan Abreu