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* Add performance gh action
- Add new performance github action, running python and csharp benchmark
algorithms
- Adjusting algorithms length so they are not too long or too short
* Checkout master branch benchmark reference
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- Fill model will take into account internal configurations, this is
specially relevant for continuous future mapped contracts. Updating
regression algorithms and unit tests.
- Allowing internal configurations to update trade builder information
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* Remove suppport for market orders and MOO orders for futures
* Add regression algorithm to assert that limit orders are filled on after hours for futures
* Remove suppport for market orders and MOO orders for futures in DefaultBrokerageModel
* Update regression algorithms stats
* Fixed regression algorithm and clean up
* Add unit tests
* Fix regression algorithms
* Address changes request
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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
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* Minor fixes for mapped futures contract
- Future security was never able to be non tradable
- Skip remove future contracts from live holdings. Adding unit test
reproducing issue and regression algorithm
* Fix removal of continuous futures
- The canonical continuous future would leave behind an OpenInterest
subscription when removed because of a different in the way the
configurations were built, this will now be centralized in a single
method. Adding unit tests reproducing issue
- FillForwarding setting of the continuous future was not being
respected. Updating algorithm reproducing the issue to assert the
behavior failing in master
* Address reviews
- Minor refactors addressing reviews
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- Remove thread in charge of sorting and updating the queues weight.
This will be handled by each worker thread instead. Avoid cases where
the work count is so high that the sorting thread in master would not
be able to update all the weights, causing data to be enqueued beyond
the max prefetch limit. Adding benchmark algorithm reproducing issue
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* Add new Python QCAlgorithm.History() method with all parameters and type
* Add regression algorithms
* Using all parameters in History()
* Use private methods to reuse History() code
* Use private methods to reuse History() code
* Add unit tests for QCAlgorithm.Python.History()
* Add unit tests for QCAlgorithm.Python.History()
* Add unit tests for QCAlgorithm.Python.History()
* Add unit tests for QCAlgorithm.Python.History()
* Add unit tests for QCAlgorithm.Python.History()
* Add unit tests for QCAlgorithm.Python.History()
* Asserting history count
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- Similar to the OptionChainUniverse, the future chain universe should
also add it's contracts using the raw data normalization mode. Adding
regression algorithm reproducing issue
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- Adding OpenInterestAnnual where the contract maps when any of the back month
contracts of the next year have a higher volume that the current front month.
- Add support for backwards compatible data mapping mode additions
- Updating ES map and factor files. Adding a little daily data too
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- During warmup period the algorithms initial time might not be a rounded date
value, so it's important to take into account hours/minutes. Adding
regression algorithm reproducing and asserting issue
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* Period timespan consolidation improvements
- If user is trying to consolidate a period providing data of a bigger
period we will now throw an exception. Adding tests
- If both consolidated and given data share the same period, gently
adjust the consolidator into a data count of 1. Adding tests
- Fixing bug in QuoteBarConsolidator period double accounting. Adding unit tests
* Add Period and Count regression algorithm
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* Fix option price and greeks always beign zero on the expiration date
* Fix option price and greeks always beign zero on the expiration date
* Updated documentation
* Style and performace changes
* Address changes request
* Fix QL.Settings.includeReferenceDateEvents not being set on every thread
* Updated code documentation
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* Add indicator for allowed option styles to QL option price models
* Add and update option price model tests
* Update option price models methods sumary to indicate allowed option styles
* Add regression algorithms for option price models for different option styles
* Update OptionPriceModel regression algorithms to use Lean local data
* Add Python regression algorithms for option price models for different option styles
* Update OptionPriceModel regression algorithms to assert that greeks are valid
* Address changes request
* Address changes request
* Update OptionPriceModel regression algorithms to check both call and put contracts
* Update OptionPriceModel regression algorithms to use correct test data
* Update OptionPriceModel regression algorithms to throw in OnData
* Address changes request
* Update OptionPriceModel regression algorithms to assert greeks are not all zero
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* Live T-1 selection warmup
- Only use BaseDataCollection class
- Reuse collection enumerator
- Remove FuturesChainUniverseSubscriptionEnumeratorFactory
- Universe selection will use Cache providers
- Add null reference check
- Add more tests
- Fixes for warmup fill forwarding. Add more tests
* Address reviews. Add missing comments
* Refactor chain providers
- ChainProviders will use quote, open interest and trade information,
which ever is first. Updating regression algorithm changing contract
being added.
- Add base BacktestingChainProvider for shared logic, reducing
duplication.
- ChainProviders will now use the given IDataCacheProvider and
IMapFileProvider
- If Providers are called for a date the exchange is closed they will
search for the previous available date where the exchange is open.
Adding unit tests.
* Address reviews. Logging improvements
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Since there is `UpdateStopPrice`, `UpdateLimitPrice`, `UpdateQuantity` and `UpdateTag` method to make it easier to update the `OrderTicket`, we include `UpdateTriggerPrice` to cover the `LimitIfTouched` case.
Also, updated the docs or the arguments for these methods.
Updates LimitIfTouchedRegressionAlgorithm:
- Adds `UpdateTriggerPrice` call that rounds down the `TriggerPrice`.
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* Add missing stablecoins
* Fix bugs
* Remove MIMUSD stablecoin pair
That pair is already in the SPDB
* Add more stablecoins pairs
- Add SUSD and IDRT
* Fix bug
* Requested changes
The algorithm posted in the GH was failing because when finding a conversion between currencies BTC to USD, it wasn't taking into account BTCUSDT and that USD = USDT because is a stablecoin
* Solve bugs
* Nit changes and more tests
* Requested changes
* Nit changes
* Requested changes
* Nit change
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* Added checking if algorithm is stopped in initialize method
* Quit on initialize adjusment
- Minor adjustments to solution. Adding more regression algorithms
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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- Fully reset the security cache when it's finally removed from the algorithm.
Adding regression algorithm reproducing issue
- Updating regression algorithms which would trade based on data
previously available
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* Warm up EmaCrossAlphaModel
Warm Up EmaCrossAlphaModel indicators
* Fix regression test bug
When using the default `EmaCrossAlphaModel()` the period of both indicators to be ready is bigger than the difference between the start date and the end date of the algorithm. Then, as the algorithm didn't warm up the data both indicators of EmaCrossAlpha never were ready, but now as the model warms up the data both indicators are ready so we get different statistics
* Requested change
* Fix unit tests
As there wasn't items in `AddedSecurities`, when trying to remove the items in ´RemovedSecurities´ there was nothing to remove because there was never a security in `_symbolDataBySymbol`. That's why, in order to test, the behavior of `EmaCrossAlphaModel` when removing a security we need to first add one to then remove it.
* Requested changes in Python
- Requested changes in Python
- Nit changes
* Nit change
* Requested Changes
* Add RemoveConsolidators() method in Python version
* add data count properties
* 'add history count property
* assert data counts
* update missing override
* consider override/virtual cases
* implement data count
* add message handler for regression tests
* use regression test message handler
* set algorithm manager for regression test message handler
* update data count
* check if stats are present, check if algo manager is not null
* update
* add c# algo
* make same as c# algo
* use new line
* logic shifted to RegressionTestMessageHandler
* cleanup
* auto cleanup
* skip non deterministic data count
* change data count
* use inheritance
* improve stats
* update couht
* add sma indicator to c# and customSMA to python
* call base method before executing further
* skip test
* revert to original
* add duplicate sma
* skip regression test
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* Make continuous futures untradable
- To match live trading behavior. Adjust continuous futures securities
to be untradable
* Set ContinuousFuture as non tradable
- Set continuous futures as non tradable. Update regression algorithms
- Fixes for symbol capacity calculation
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`WarmUpIndicator` for Python indicators doesn't return the indicator anymore after #6027. So all overloads should return `void`.
Fixes `SmaCrossUniverseSelectionAlgorithm` [C# and Py].
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* add gdax exchange info downloader
* add downloader method to program]
* fetch currency description
* change definition to include headers
* use extension method to make request
* remove log from test
* replace WebRequest
* cleanup
* use relevant name
* implement IExchangeInfoDownloader for bitfinex, initial commit
* add default values
* use default market value
* use correct attribute for lotsize
* don't skip missing values
* handle multiple downloaders
* add gdax and bitfinex exchange downloader
* follow LEAN data directory structure
* update SPDB
* order tickers
* order tickers
* add exchange info downloader test template
* delete files
* update SPDB
* use currency mapping
* update bitfinex symbols
* update currency mapping
* sort result after old currency symbols are used
* use market of the respective brokerage
* no more unknown symbol
* change minimum order size value
* direct conversion possible
* update bitfinex symbols
* change user-agent
* add test for indirect conversion
* update stats
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* remove un-used
* use utc time for slice sync
* use utc time
* refactor
* add regression test
* use utc time
* use utc time
* make utctime required parameter
* add utcTime in slice creation
* assert warm up complete
* check if algorithm is still warmingup
* use exchange tz
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`CashBuyingPowerModel`, which reflected on `AlphaStreamBrokerageModel`, a margin-only brokerage.
It also didn't consider the account type, so `InteractiveBrokersBrokerageModel` was using the margin model even if `AccountType.Cash` was selected.
Removes `GetBuyingPowerModel` method from other Brokerage Models when their cases are covered by `DefaultBrokerageModel`
Fixes some typoes in `TradierBrokerageModel`
Fixes unit and regression tests. For the regression tests, we have explicitly set the brokerage model.
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- The BrokerTransactionHandler will also adjust virtual positions for
margin accounts when fees are in base currency and the asset is a
crypto or forex pair. Adding new regression tests reproducing issue
Martin-Molinero