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* CompositeDataQueueHandler handles duplicate configs
- CompositeDataQueueHandler will handle duplicate subscriptions sharing
the same config. Adding unit tests
* Refactor bug solution after review
- LiveSubscriptionEnumerator will not long perform any symbol mapping
but will just trigger a new subscription call when remapped.
- CompositeDHQ will handling symbol mapping and keep track of these
mapped configs to trigger unsubscribe accordengly. Adding unit tests
* Adjust solution after review
- To avoid breaking uniqueness of SubscriptionDataConfig will be adding
a private `mapped` property that will change equality of mapped
configs to avoid them clashing. Adding unit tests
* Rename IDQH subscription extension methods
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* Minor performance improvements
* CompositeDataQueueHandler is UniverseProvider
- CompositeDataQueueHandler implements the UniverseProvider interface.
Adding unit tests
* initial commit
* Follow IDQH implementation
* Expect a list of data handlers from LiveNodePacket
* Return null if can not subscribe
* refctor to add check for subscription
* initialze null
* Add tests
* Check subscribe retuns null/not-null
* cleanup
* Read all required IDQH credentails to job
* Use CDQH to handle all IDQH instances
* constructor abstraction to call from setjob
* use flag
* remove redundant because derived will call initialize on it
* abstract and initialize from setjob
* handle null enumerators
* get creds from data handlers
* handle single data handler value from data-queue-handler
* Fix to support a json array
* Fix missed constructor call
* change access modifier to access from Tests files
* Add test to get brokerageFactory from dataQueueHandler
* Fix init flag to handle all conditions
* Add docs
* initialize from setjob
* Check if websocket open before using
* change defination of initialzie to include tradier
* clean up
* change defination
* fix wrong api key name
* return empty enumerator
* check websocket open before sending request
* check connection before subscribing
* fix to include more cases
* check websocket open before sending request
* Minor refactoring
* reafctor and use IsConnected
* remove unused
* clean up
* Fix test cases
* reverse change
* include config changes
* connect to websocket from setjob
* check websocket connection from setjob
* clean up
* include condition for IDQH that are not brokerage
* Address review
* Add market check condition before subscribe
* Remove deprecated
* Minor fix for deserializing data queue handler
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Continuous Futures Refactor. Live Mappings
- Adding support for live mappings. LiveTradingDataFeed will handle any
symbol mapping at the configuration layer and resubscribe through the
IDQH
- Refactoring continuous futures adding ContinuousFutureUniverse that
will select the currently mapped security
* Minor fixes
- Remove addition of configurations in UniverseSelection step, leave
resposability for universe.
- LiveTradingDF future unit test will only assert slice data for non
internal feeds.
- ContinuousContractUniverse will respect internal option interest
subscription
* Address review
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* Move processing of delistings to Brokerage
* Deal with case that exchange is not open on OptionSymbol.ID.Date
* Refactor solution to use DelistingNotification event
* Adjust some regression expected liquidation time
* Mark some todos on deprecated functions
* Update expected liqudation time for Py regressions
* Update regressions that have been validated
* Use HandlePositionAssigned for assignment orders
* Update regressions
* Update some missed unit tests; remove one that is already covered by regression
* Cleanup deprecated backend functions
* nit - small cleanup adjustment
* Post rebase fix
* Address review
* Minor tweak to py regression
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* Few improvements
- Alpha Streams algorithm will add target securities right away
- If algorithm is warming up PortfolioTargetCollection will emit not
insight
- Fix local disk factor file provider to use local cache instead of data
folder
- EWAS PCM will not emit targets for securities which have not been
added by the algorithm yet, to avoid runtime exception
* Fix GetLastKnownPrice default order adding more unit tests
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* Adds ETF(...) to UniverseDefinitions
* Adds ETF constituents universe framework regression algorithm
for C#/Python
* Address review: adds test cases for ticker/Symbol ETF universe additions
* Fixes bug where null Market would result in null dereference exception
* Address review: add missing Index tests
* Address review: don't hardcode market when creating constituent universe
* Uses Brokerage Model's default markets collection to determine
the market for the given security type
* Address review: restore QC500 and DollarVolume.Top(...)
* Restores algorithms related to both helper universe
definition methods
* Address review: remove copy to output directory for python algos
* Add example algorithms for ETF constituent universes using custom RSI alpha model
* Address review: adjust algorithm to use cache + algo RSI & clean up code
* Address review: make ETF Constituent RSI Alpha Model algo a regression test
* Address review: increase trade count and remove single trade logic
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* Order handling improvements
- Execution model will only trigger market order if they are above the
minimum order margin portfolio percetage value
- SecurityCache.Reset is complete
* Python Import fixes
- Add regression test for ImmediateExecutionModel minimum order margin
check
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* Alpha holdings state
- Alpha result packet will optionally provide the algorithms portfolio
state
* Rename
* Convert AlphaStreamsPortfolio to data source
* Improvements on AlphaStreams algorithm
* Fix regression tests
* Add unit tests for EW AS PCM and fixing bugs
* Protobuf AlphaStreamsPortfoliot staState
- Protobuf AlphaStreamsPortfolioState. Adding unit tests
- Add variable TPV tests for EW ASPCM
* Add alpha license to Organization response
* Improvements EW AS PCM respects free portfolio value
* Fixes
- Update tests expected statistics results affected by MHDB custom data timezone fix
- Fix for Extensions.IsCustomDataType
* Fixed and adding more regression tests
- Adding support and regression test with alpha consumer with different account currency
- Adding support and regression test of a universe adding custom data
types
- Add support and regression test for algorithm alpha consumer with existing holdings
* Add AlphaStreamsOrderEvent data type
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* Adds support for ETF constituent universes
* Adds filtering for universe data if it doesn't match the
universe subscription type
* Update mapping for ALL underlying Symbols if
`Symbol.UpdateMappedSymbol(...)` is called. Required to support
constituent ETF universes that might have mapping events
* Delistings of composite constituent universe Symbol will result in
removal of universe securities.
* Added regression algorithms for ETF constituent mappings (C#/Python),
along with data required to run locally
* Refactor universe delistings in SubscriptionSynchronizer -
big thank you to @Martin-Molinero :)
* Address review: update regression algorithms and add explanatory comments
* Address review: add additional checks to delisting regression algorithms
* Adds new regression algorithm testing the addition of a universe
without calling AddEquity() and asserts same behavior
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* Improve python exception parsing
- Improve python exception parsing adding support for line shift. Adding
unit tests
* PythonException revert change
* Centralized and normalize algorithm runtime handling
* Adding support for C# line and file exception report
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* WIP removal of custom data references & tests updates
* Regression algos updated and python algorithms moved to DataSource repos
* Fixes failing unit tests
* Add "LiveDataTypes" field to LiveNodePacket
* Adds Initialize() to IDataChannelProvider
* Adds new extension method to convert
HistoryRequest -> SubscriptionDataConfig
* Address review: Add protobuf definitions for Iconic data types
* Address review: re-adds DynamicSecurityDataAlgorithm as regression algo
* Small adjustments to variable naming and documentation
* Move test files to respective DataSource repos
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- Take lock to refresh client to avoid null reference
exception
- Reduce gate rate
- Use extension methods to await tasks
- Avoid copying the data multiple times
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* Add new DownloaderDataProvider
- Moving LeanDataWrite and IDataDownloader to common project
- Add new BaseDataDownloaderDataProvider with concurrency helper method
- Add new DownloaderDataProvider which will use a IDataDownloader or
IBrokerage implementation as data source
* Add support for downloading symbol chains data
* Use DataProvider for fetching Shortable and FutureMargins files
* Use data provider for AllShortableSymbols
* Refactor of NeedToDownload logic
* Adjustments
* nit - cleanup
* Expand test cases
* Create the directory if it doesn't exist
Build & Test Lean / build (push) Has been cancelled
- Fix FOPs maintenance margin requirements since they were relaying on
the underlyings holdings cost to return 0 in some cases. Updating unit
tests
- Fix Option exercise order being rejected because of margin not
available, will now take into account the margin used by the option
itself. Adding unit test
Build & Test Lean / build (push) Has been cancelled
* Updates Fundamental Data
* Updates Regression Algorithms
- `CoarseFundamentalTop3Algorithm`
- New coarse has higher `DollarVolume` for `FB`
- `CoarseNoLookAheadBiasAlgorithm`
- Change from `SPY` update not included in #5493
- `SectorExposureRiskFrameworkAlgorithm`
- `HasFundamentalData` was false for `GOOG` on 20140401 and 20140402.
* Updates Unit Tests
Minor changes in expected values
* Updates Regression Tests
Should have been included in #5493:
- `OptionsExpiredContractRegression`
- `FuturesExpiredContractRegression`
* Adjusted Quantity By Lot Size in OrderTargetsByMarginImpact
`OrderTargetsByMarginImpact` didn't calculate the order value with the quantity adjusted by order size which less to values that did not reflect the actual order value.
It has a particular affect in `SectorExposureRiskFrameworkAlgorithm` where the Python and C# versions have the same orders but placed in a different sequence because of decimal/double precision.
* Reduce dictionary access x3 on OrderTargetsByMarginImpact
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
* Update projects to use .NET 5.0, the successor to .NET Core
* Fix ambiguous errors. Add IBAutomator net5
* Remove FXCM
* Upgrade IBAutomater to v1.0.51
ignored, and an empty message aborts the commit.
* Fix rebase
- Fix ambiguous Index
- Remove StrategyCapacity.cs
- Update System.Threading.Tasks.Extensionsy
* Remove unrequired references
* Fixes
- Travis will use dotnet, not nunit nor mono
- Remove mono from foundation image
- Fix python setup in research
- Fix unit tests
* Don't call ReadKey when input is redirected
* Fix ConsoleLeanOptimizer
* Research fixes
* Update comment
* Add vsdbg to Dockerfile
* Fixes
- Revert dockerfile FROM custom changes
- Adjust and fix regression algorithms
- Option assignment will be deterministic in the order
- 'Rolling Averaged Population' is calculated using doubles, updating
expected values.
- Update readme, removing references to mono
- Add missing Py.Gil lock
* Replace ICSharp with .NET Interactive
* Fixes after rebase
* CSharp research fixes
- Adding new Initialize.csx that pre loads all assemblies
- Adjusting template research file
- Moving steps in dockerfilejupyter
- Fix unit tests and regression tests after rebase
Co-authored-by: Gerardo Salazar <gsalaz9800@gmail.com>
Co-authored-by: Stefano Raggi <stefano.raggi67@gmail.com>
Co-authored-by: Jasper van Merle <jaspervmerle@gmail.com>
* Refactor HasSufficientBuyingPowerForOrder implementations
Adds Sufficient and Insufficient helper methods to HashSufficientbuyingPowerForOrderParameters
enabling syntax like:
return paraeeters.Sufficient()
returnparameters.Insufficient(reason)
The next change will add the initial margin required which will simply require
updating both of these helper methods to accept the value.
* IBuyingPowerModel: Add margin functions Maintenance/Initial/ForOrder
These were originally hidden in an effort to only expose what's necessary
for the engine to perform its work. Additionally, we encapsulated all of
the method arguments into parameters classes to prevent having to break
anyone in the future. Not including these foundational methods turns out to
be an oversight. These methods are not required by the engine, but rather by
other models. Another possible solution here is to add an additional abstraction
and include these methods on this new abstraction. BuyingPowerModel would then
explicitly implement these methods and models that depend on them would require
two code paths, one for when the buying power model implements this interface
and another for when it doesn't.
Tests were additionally updated to remove test model implementations created for
the sole purpose of exposing these private methods.
* Add ConstantBuyingPowerModel
Provides an implementation of IBuyingPowerModel that returns the same
constant value
* Update BuyingPowerModelPythonWrapper to use reflection for method names
Having a bunch of hard-coded strings is a sure fire way for someone to
overlook when changing methods. This change ensures that noone needs to
remember that this code exists :)
Cleans up the syntax around verifying a python object implements a particular
C# interface via the ValidateImplementationOf<T> method by having it return a
value since the only use cases are in constructors when setting the models.
I was initially going to update ALL python wrappers to validate the passed
in models, but such a change could break many things that are 'working' right
now. Such an effort should be saved for its own dedicated PR.
* Add Parameters/Result types for new buying power model methods
* Support computing maintenance margin for arbitrary quantities
The existing GetMaintenanceMargin function assumes that we're only interested
in the maintenance margin for the entirety of the provided security's holdings.
This makes it impossible to perform what-if analysis or to even ask how much
maintenance margin is devoted to a particular subset of the security's holdings.
This change adds the quantity to the MaintenanceMarginParameters class. Futures
and Options models also depend on holdings cost and holdings value, so they have
also been added to the parameters type. Finally, static factory methods were
added to improve discernment of intent: ForCurrentHoldings provides the existing
behavior and then ForQuantityAtCurrentPrice to support what-if scenarios where
we're looking for the change in maintenance margin if we were to execute an order
for the securiy at the current time step. Obviously a constructor is provided to
set all of the values explicitly, using any price metric the caller desires.
* Address review
- Fix BPM xml documentation
- Fix python unit tests and PythonWrapper validate method
* Add SecurityHolding.QuantityChanged event
Adding event handlers will allow us to orchestrate complex
events from distant parts of the codebase through wiring
them up. If we continue down this path, it will move us away
from the current, very 'mechanical' data flows expressed in
LEAN and towards a more modern, event processing based system.
This is but a baby step in that direction and the initial use
case is using this QuantityChanged event to trigger resolution
of the algoritm's positions groups. This is part of an effort
to improve the fidelity of options margin modeling where we'll
model an OptionStrategy as an IPositionGroup. This will allow
us to compute the margin requirements of an OptionStrategy as
a unit instead of computing margin of each security individually
in isolation.
See #4065
* PortfolioManager: Group fields and remove unused field
This codebase generally places fields as the first members, but
this class had some fields at the top, then some properties, and
then some more fields. This change brings all the fields together
at the top of the file and also removes pointless comments placed
directly above some of the fields. Additionally, an unused field
was removed.
* Remove unused _currencyConverter from Security
Looks like at some point the only code using this member variable was removed
and the necessary clean up was overlooked.
* Add Parse.Enum functions
* Support disabling regression algorithms by language via config.json
Adds 'regression-test-languages' to config.json and filters regerssion algorithms to
run based on this value. When cycling on a particular feature, it's nice to be able
to run the entire regression set while ignoring the python algorithms. Once the C#
algorithms are all passing, one can then go back and run C# and Python in a final run,
since 99% of feature work doesn't impact python specifically.
* Implement IComparable in SecurityIdentitfier
This can be used to deterministically sort securities and symbols
* Add .editorconfig to enforce common formatting for json/sh files
* Fix typo in IBuyingPowerModel.GetBuyingPower xml docs
* Add ListEquals/GetListHashCode and OrderDirection.Closes(PositionSide)
ListEquals and GetListHashCode are designed to be used together as they
complement each other according to C#'s requirements for Equals and
GetHashCode functions.
PositionSide.ToOrderDirection() extension simply converts a PositionSide
to its logical equivalent OrderDirection. Long->Buy, Short->Sell, None->Hold
OrderDirection.Closes(PositionSide) determines if a particular OrderDirection
would have the effect of reducing a position's absolute size. This function
greatly improves the readability of buying power functions that must provide
adjustments when an order/contemplated trade reduces/closes an existing position.
OrderDirection.Buy.Closes(PositionSide.Short)
OrderDirection.Sell.Closes(PositionSide.Long)
All other combinations return false
Adds ToArray/ToImmutableArray convenience functions that combine a call
to Select followed by To(Immutable)Array all in one function call.
* Add decimal.DiscretelyRoundBy extension method
Supports rounding a decimal value by an arbitrarily chosen maximum precision,
or 'quanta'
* Update FutureMarginBuyingPowerModelTests to respect the security's lot size
* Add core position group classes and abstractions
* Add initial/maintenance margin support, buying power model consistency tests
* Add SufficientBuyingPower and GetReservedBuyingPower to position group model
Includes update to BrokerageTransactionHandler to use position group BPM for
sufficient buying power checks.
* Resolve position groups on each fill
We need to update the state of our position groups on each fill so that
we can properly handle multiple orders within the same time step. We
also limit the number of positions sent into the resolver by removing
securities without any holdings.
* fixup! Add SufficientBuyingPower and GetReservedBuyingPower to position group model
* Add GetMaximumLotsFor{Target|Delta}BuyingPower
Instead of computing order quantity, these functions compute the
maximum number of position group lots, which is the position group
quantity, and is guaranteed to be a whole number, for the provided
target/delta buying power parameters.
The SecurityPositionGroupBuyingPowerModel delegates to the security's
IBuyingPowerModel by applying a scaling factor equal to the security's
lot size.
This change also updates references to IBuyingPowerModel.GetMaximum...
to use the new position group model methods.
* Convert remaining IBuyingPowerModel call sites to position groups
* Rename PositionManasger.CreateDefaultGroup -> GetOrCreateDefaultGroup
Better describes its behavior
* Add Position Groups readme.md
* Add Option Strategy BuyingPowerModel
- Adding CompositePrositionGroupResolver and
OptionStrategyPositionGroupResolver
- Adding OptionStrategyPositionGroupBuyingPowerModel handling option
strategies based on IBs margin table. Adding regression algorithms
- Few changes so that option strategies executed by multiple orders are
detected
- Adjust OptionStrategyDefinitionMatch to include equity legs in the
matching result
- Minor tweaks fixing previous rebase
- Minor fixes for existing option strategies definitions, adding new
missing strategies.
- Fixing minor bugs in option strategy matcher. Adding more unit tests
* Address self reviews
- Fixing bug in 'PositionGroupCollection'
- Few minor simplificaitons
- Adding BasicTemplateOptionEquityStrategyAlgorithm
* Address reviews
- Improve regression algorithms margin remaining and used assert logic to be exact. Taking into account spread and fees
Co-authored-by: Michael Handschuh <mhandschuh@gmail.com>
* Add futures regression reproducing the issue
* Cleanup futures regression
* Add Options regression
* Add IRegressionAlgorithmDefinition
* Add IRegressionAlgorithmDefinition
* Adjust regressions to compare to expiration date; delisting time is not always correct
* Refactor subscription enumerator filtering of AuxData to top of the stack
* Update broken tests to reflect the split/dividends/delisting subscriptions
* Update regression statistics because of Delisting EOD instead of at time
* Let custom data configurations bypass filter
* Adjust expected count, now that we are letting aux data through to history requests
* another small adjustment
* Use ExpectedBarCount in error message
* Add filter test for both cases
* Add some clarifying comments
* Verify we did recieve data in the regressions
* Make _shouldEmitAuxiliaryData private readonly
* Filter out aux data for history requests
* Remove option to not include aux data in subscriptions
* Refactor filtering to be more explicit for each piece of data; fixes universe selection aux data
* Cleanup comments after removed var
* Refactor order of filtering for performance reasons.
* Remove and replace OnEndOfDay() ref
* Restore functionality of obsolete EOD, waiting for deprecation in August 2021
* Cleanup
* Adjustments to only post message when using obsolete EOD
* nit, extra space
* Address review
* Adjust test to reflect new behaviour
* Move GetPythonArgCount to an extension method
* Add unit test
* nit accidental import
* Refactor broken test
* Use Py.GIL() state for extension
* Add support for Index SecurityType 🚀 (#5364)
* Add Index SecurityType 🚀
* Extend SecurityIdentifier & Lean Data classes with Index support
* Add Index SecurityType 🚀
* Extend SecurityIdentifier & Lean Data classes with Index support
* Fixes
* Added index cross basic template demonstration
* WIP: Prototype index security type for LEAN as non tradable asset
* Re-adds Index entries to MHDB after rebase
* First steps to getting Index Options running
* Looks at any instance where we pattern match for an option type
and replaces it with a generic call to `.IsOption()` for easier
extensibility in the future for additional option security types
* Adds IndexOption security and misc. classes
* Misc. changes, mainly related to any sort of special casing of
equity options and made index options take the same path
* Enables index options data for backtesting
* Adds new index options market hours to MHDB
* Misc. bug fixes for index options
* WIP: add live support for index options and indexes
* Use OptionMarginModel for Index Options because they both use the
same calculation for margin requirements
* Fixes contract not found errors on SPX index options and SPX index in IB
* Turns out index options' last trading day is the day before expiry,
which IB was expecting the last trading day.
* Add index option test cases (temp)
* LiveOptionChainProvider fix, use Symbol vs. ticker
* Description updates to regression algorithms
* Fixes bug in live trading for indexes and index options
* Adds overridable minimum price variation symbol property
* Adds variable sized minimum price variation for index options
* Adjusts symbol properties for index options
* Misc. bug fixes
* Fixes option assignment simulation for European options
* Updates index options regression algorithms (WIP)
* Fixes bug where index option exercise would trade index underlying
* Fixes bugs where SecurityType.Index was getting flagged as tradable
* Regression algorithms updates and addresses review
* Misc. style fixes and refactoring + a few bug fixes
* Updates regression algorithms to run without runtime errors
* Adds data for regression algos
* Sets DefaultOptionStyle on Canonical and support index options
* Update regression algos statistics
* Removes bad line in regression algorithm causing build to fail
* Minor tweaks
* Address review add comment about quoteBar parse scale
Co-authored-by: Balamurali Pandranki <balamurali@live.com>
Co-authored-by: Jared Broad <jaredbroad@gmail.com>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
* Adds backwards compatibility for MHDB and SPDB for new SecurityTypes
* Skip invalid SecurityTypes in MHDB and SPDB
* One time log invalid SecurityTypes in MHDB/SPDB
* Moves logging of SecurityType into new extension method
* Adds TryParseSecurityType to Extensions
* Adds CapacityEstimate and SymbolCapacity
The capacity estimation has been moved from
the report generator and wired directly into
Lean via the ResultHandler. In addition,
the capacity estimation strategy has changed
to account for errors in the previous iteration
of the capacity estimation.
Many many thanks to Jared for being much of the
mastermind behind this project. It would have
been harder to complete without him to bounce ideas
off of.
* Moves old tests to regression algorithms
* Adds Estimated Capacity statistic
* Removes old capacity estimation tests
Final report capacity estimation. Pushing to save state
* Fixes bugs, cleans up code and adds comments
* Adds forced sampling to Capacity Estimation
* Misc. bug fixes for daily data
* Updates capacity test cases' Estimated Strategy Capacity statistic
* Adds Capacity Estimate to all regression algorithms
* Removes Report's StrategyCapacity class and fixes bug in tests
* Adds null check in BacktestingResultHandler to fix
BacktestingTransactionHandler failing tests
* Deletes old capacity estimation classes
* Retrieve capacity estimates from backtest statistics results
instead of calculating at runtime
* Make $0.00 capacity return as "-" and Result = 0 in report
* Adds capacity to runtime statistics
* Converts capacity to number denoted by financial figures in RuntimeStats
* Addresses review: code cleanup for Capacity and adds comments to regression tests
* Adds LimitIfTouched order.
TODO:
-- Add tests.
-- Add into existing regression algorithms.
-- Refactors (?)
* Fixes
- Remove unrequired space changes
- Fix EquityFillModel min/max limit price fill
- Add TriggerPrice for UpdateOrderRequest.
Quote info used w.r.t. comparing against Limit prices for LIT
FillModel.cs implementation is fixed to use quotes when comparing against set limit prices.
Also changes test implementations to assert which of quotes/trade-bars are being used
Reviewer-suggested fixes
------------
Merge remote-tracking branch 'origin/limiftouched' into limiftouched
Styling
Adds missing null check for quotebar
Styling
Adds missing null check for quotebar
Merge remote-tracking branch 'origin/limiftouched' into limiftouched
High/Low w.r.t. trigger price for determining if TriggerTouched changed to Current price
https://github.com/QuantConnect/Lean/pull/5164/files/0462ad668a5fe65e771122165f36c72d56b92df6#r569832380
fill fixes:
FillModel.cs: Fills exactly at the limit
EquityFillModel.cs: https://www1.interactivebrokers.com/en/index.php?f=608
Equity fill now uses quotebars
Revert - use new constructor which emulates former SubmitOrderRequest
Style changes
Reverts order model to original by means if new constructor
High/Low w.r.t. trigger price for determining if TriggerTouched changed to Current price
https://github.com/QuantConnect/Lean/pull/5164/files/0462ad668a5fe65e771122165f36c72d56b92df6#r569832380
fill fixes:
FillModel.cs: Fills exactly at the limit
EquityFillModel.cs: https://www1.interactivebrokers.com/en/index.php?f=608
Equity fill now uses quotebars
Revert - use new constructor which emulates former SubmitOrderRequest
Style changes
Reverts order model to original by means if new constructor
Merge commit 'bf4c96d2a055ea808fa4293662528c11a89b72c7'
* Suggested style fixes
* Review fixes
-------------------
- Suggested style fixes
- Changes LIT regression to better incorporate order modifications
- TODO: orderlisthash must be fixed
Fixed LIT regression algo
-----------------------
- Includes asserts in OnOrderEvent
* Fix OrderListHash
OrderListHash -> -292689487
* Re-adds quote nullchecks
* EquityFillModelTests fixes asserts
* Reordering FillModel.cs
* Fixes quote logic, adds methods in FillModel.cs
* Refactoring + LIT regression fixes
-- revert unneeded changes
* Fixes list hash
* Rebase -- catch up upstream
* OrderListHash fix
* Various fixes by reviewer
* Final requested changes
* tagged time -> utcinvariant
* Fixes listorderhash
* Time changed to UtcTime.ToString(DateFormat.US, CultureInfo.InvariantCulture)
* Adds Python LimitIfTouchedRegressionAlgorithm
* adds LimitIfTouchedRegressionAlgorithm.py
* adds LimitIfTouchedRegressionAlgorithm.py
* Minor changes to LIT regression algorithms
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* .NET Core/5.0 will not compile when calling
AppDomain.CurrentDomain.DefineDynamicAssembly() since it was removed
in .NET Core.
AssemblyBuilder replaces this specific functionality since
AppDomains were deprecated in .NET Core
* Update OrderListHash to use MD5 as hash instead of hash code
* Update regression algorithm OrderListHash statistic
* Use full MD5 hash as OrderListHash, update regression statistic
* Fixes failing regression tests
* Updates NodaTime to version 3.0.5
* Updates code to ensure compatibility with new NodaTime version
* Updates System.Runtime.CompilerServices.Unsafe to 5.0.0
- Required by NodaTime
* Adds comments explaining changes in NodaTime
* Adjust delisting liquidation time
- Adjust delisting liquidation time to 15 min before market closes.
Adding unit tests. Updating existing.
- Handle `Statistics.CompoundingAnnualPerformance` invalid calculation
to avoid exception.
- AlgorithmManager will not handle delisting events in live trading
- Fix bug where due to a split driven liquidation matching delisting
date a position in the option would remain open. Reproduced by
`BasicTemplateOptionsFrameworkAlgorithm`
* Address review
- Address review add documentation on delisting offset span
* Fix delisted liquidation orders being cancelled
- Place delisted liquidation orders 10 min before market closes of 10
min before the end of the delisting warning date. Adding regression
test and unit tests. Updating existing tests.
* Fix failing python option unit tests
* Fix bug where positions would be open delisting liquidation
* Fix universe selection and delisting
- Delisting will happen ASAP for all types. Giving priority to close
positions on derivates first
- Fix bug in universe selection where OptionChain would remove
underlying even if holding a position in derivate.
- Updating regression tests statistics
* Add unit test, fix unit test expected stats
* Adds preliminary universe selection for Future Options
* Fixes scaling issues with Future Options
* Fixes scaling multiplying by 10000x instead of using _scaleFactor
* Fixes scaling for Tick
* Revert changes to Tick since it divides the scaling factor
* Changes stale method name to new method name after rebase
* Fixes selection bugs, adds new methods, and adds unit tests
* Fixes bug where Equity Symbol was created for an underlying
non-equity Symbol, resulting in equity data trying to be loaded
* Adds unit tests covering changes to Tick, QuoteBar, TradeBar and
LeanData
* Adds regression test for AddUniverseOption filter contract selection
for Future Options
* Addresses review - modifies the AddFutureOption signature
* Adds new AddUniverseOptions method overload
* Removes and adds a new unit test
* Misc. modifications to account for new changes
* Fixes bug where futures were loaded using default SID Date
* Refactors and removes unnecessary work
* Fixes regression algorithm, which previously made no trades
* Adds future option data
* Adds the corresponding underlying data, in this case, futures data
to enable usage of future options data
* Replaces data with new data (ES18Z20)
* Improves Future chain filtering and updates regression stats
* Add AddFutureOptionContract API
* Expands regression and unit tests to test in finer detail
* Adds Python regression algorithms for AddFutureOption[Contract] methods
* Adds new unit test for BacktestingOptionChainProvider
* Fixes bug with BacktesingOptionChainProvider where we
attempted to load the Trades option chain first, resulting
in breakage of backwards compatibility and limitation of the
option chain.
* Adds new regression algorithms (Py) to Algorithm.Python project
* Adds FutureOptionMarginBuyingPowerModel
* Modifies code paths used to select margin model
* Adds related unit tests for margin model
* Fixes issue with unit test and MHDB/SPDB lookup for Future Options
* Preliminary regression algorithm testing ITM call/put option buying
* Fixes bug where fee model used did not find non-US market
options fee model. We now use the futures fee model for future
options because IB charges the same commissions per contract
between futures and futures options
* Adds proper regression algorithm for ITM future options expiration
* Pushing broken algorithm for review
* Currently, algorithm does not fill forward, causing
a single future option to not get exercised when it is delisted.
* Adds FutureOptionPutITMExpiryRegressionAlgorithm
* Improves existing regression algorithm for call side
* Fixes bug in existing regression algorithm
* Adds AAPL daily data to advance enumerator for ^^^ fix
* Adds additional future option regression algorithms
* Adds Buy OTM expiration regression algorithms
* Adds Sell ITM/OTM expiration regression algorithms
* Adds missing Python regression algorithms
* Adds remaining Python regression algorithms and fixes issues
* Fixes naming issues and statistics
* Adds short option OTM regression algorithms (Py)
* Add license header and class comments to python algorithms
* Cleans up comments and docstrings
* Create Buy/Sell call intraday regression algo
* Redirects future options symbol properties to futures symbol properties
* Asserts exercise/assignment price and updates stats in regression algos
* Adds new unit test covering changes to SecurityService
* Adds comments and fixes failing test
* Partially fixes future option mis-calculated profit/loss
* Adjusts portfolio model to calculate FOP as a no upfront pay asset class
* Updates regression algorithm statistics
* Begin IB FOP support
* Initial support for FOP IB data streaming, live í¾
* Adds additional functionality to LiveOptionChainProvider
- Allows querying CME API to retrieve option chains for CME products
- Ultimately, it's also the groundwork for the CME
LiveFutureChainProvider
* Edits IDataQueueUniverseProvider interface to provide greater
control to implementors of it
* Misc. bug fixes required to get FOP data streaming through IB
* Adds comments, adds missing rategate call, and cleans up code
* Force exchange for FOP and Futures when no exchange is provided
* Fixes bug with Portfolio modeling across all asset classes
* Adds LiveOptionChainProvider tests for Future Options
* IB brokerage option symbol bug fixes and improvements
* Fixes contract multiplier lookup bug
* Fixes issue where we attempted to subscribe to IB data feed with canonical security
* Adds ES MHDB entry
* Reverts portfolio modeling changes for Futures Options
* Since IB eats into our account's cash balance when
a new FOP contract is purchased, we must model by applying funds
to our cash whenever a new purchase/sell occurs.
If we choose to model FOPs exactly as we do with futures, we
will end up with an invalid TotalPortfolioValue on algorithm
restart. By all means and purposes, FOPs are modeled exactly
the same as equity options with respect to the portfolio.
* Adds comments clarifying portfolio modeling and clarifies
existing portfolio modeling comments with additional context.
* Fixes IB symbol lookup for future options
* Fixes LiveOptionChainProvider looping 5 times per option chain
request, even on success
* Sets OptionChainedUniverseSelectionModel to produce a canonical
future/future option/option Symbol to avoid creating two Symbols
* Adds GLOBEX future option symbol mapping from future -> fop
* Fixes LiveOptionChainProvider loading wrong contract option chains
* Fixes loading of futures options ZIP files when backtesting
* Adds a string -> decimal JSON converter
* Additional fixes/refactoring to the LiveOptionChainProvider
* Adds tests for changes to Symbol and LeanData
* Reverts changes to IB-symbol-map
* Fixes Value for mapped future options tickers
* Fixes Symbol test
* Changes path of future options to future's expiry date
* Extra changes made to remove scaling from writing CSV
* Added method to map from FOP Globex -> FUT Globex
* Fixes MOO and MOC orders for future options
* Note: this order type might not be supported by IB or CME.
* Bug fixes and updates unit tests
* Update regression tests and data format
* Rebase changes
* 1. Multiple bug fixes for LiveOptionChainProvider, reverts IQFeed changes
2. Address review (partial): Code reuse and cleanup
1.
* Modifies check in
`AddFutureOptionShort(Call|Put)ITMExpiryRegressionAlgorithm`
to ensure no buys have negative quantity
* Code reuse changes in IB brokerage
* Bug fix in IB brokerage where we assigned the FOP expiry
as the futures expiry (requires verification)
* Doc changes and adds missing summaries/license banners
* Disposes of HTTP client resources in LiveOptionChainProvider
* Renames classes and adds FutureOption folder in Common/Securities
2.
* We revert back to the quotes API for the option chain,
since the settlement API sometimes had missing strikes.
* Fixes future option expiry being set as future's expiry
in LiveOptionChainProvider
* Fixes bug where wrong option chain was selected because of bad
expiry lookup in the futures expiries returned from CME
* Fixes multiple looping bug in LiveOptionChainProvider
* Adds strike price scaling for LiveOptionChainProvider
* Reverts IQFeed changes and simplifies interface upgrade changes
Some additional challenges we'll have to solve as part of FOPs:
- The `OptionSymbol.IsStandard` method makes the assumption that
weeklies contracts follow the pattern equities follows, which
does not apply to Futures Options
- The Subscription created in:
`OptionChainUniverseSubscriptionEnumeratorFactory`
...adds a Trade config. For illiquid contracts, this
will delay universe selection for the option symbol
until we get a trade. However, if we add a quote config,
the data would instead be loaded based on the first quote
we received from the brokerage.
But since we're currently using a trade config, illiquid
contracts won't start streaming data until it receives a trade.
NOTE: this commit is a WIP to addressing the reviews received in the PR,
but has been committed early for efficiency in the review process
* Fixes regression algorithms and misc. bugs
* Fixes map file lookup for non-equity options
* Adds extra assertion at end of algorithm to ensure no holdings are
left when the algorithm ends.
* Adds FutureOptionSymbol, allowing all contracts through as standard
* Changes SPDB to allow defaulting to underlying future symbol
properties if no entry is found for the given FOP
* Fixes calls to SPDB in SecurityService, IBBrokerage
* Reverts AAPL daily ZIP file to fix majority of regression algorithms
* Adds FOPs symbol properties
* Fixes existing symbol properties for a few futures
* Adds tests for changes to Symbol Properties Database
* Removes string SPDB lookup method
* Updates tests and misc callees of previous method
* Updates all regression tests to use data of already expired contracts
* Adds Futures Options Expiry Functions tests
* Adds required futures data for 2020-01-05
* Address review (partial): Expands test coverage and fixes tests
* Set option chain tests parallelism to fixture only
* Fixes broken test for contract month delta for FuturesOptionsExpiryFunctions
* Changes delisting date logic for Futures Options
* Address review: removes duplicate code, misc code fixes
* Bug fix in MarketHoursDatabase.GetDatabaseSymbolKey() where
we would use the underlying's Symbol for lookup in the MHDB
* Adds missing license banner
* Removes Futures Options entries from MHDB
* Adds new tests
* Adds SecurityType.FutureOption
* Converts any underlying comparisons and uses SecurityType directly
instead for FOP specific behavior
* Extra code modifications to acommodate new SecurityType
* Addresses review: fixes order fee bug on exercise
* Additional bug fixes and adding of SecurityType.FutureOption
* Updates regression algorithms OrderListHash
* Fixes various bugs in IB live implementation
* Fixes bug setting the right contract expiration date for FOP
generated by LiveOptionChainProvider
* Adds new function to FuturesOptionsExpiryFunctions
* Clarifies parameter names better in some functions/methods
* Fixes bugs in IB brokerage for FOPs
* Address review - code cleanup and refactor
* Remove MappingEventProvider, SplitEventProvider, and
DividendEventProvider for Futures Options in
CorporateEventEnumeratorFactory
* Address review: Use MHDB key resolver in SPDB
* Makes regression tests pass and adds comment for expiry issue
* Fixes MHDB lookup on string symbol method
* Adds Futures Options greeks regression algorithm (C# only)
* Adds explanitory comment on MHDB FOP lookup
* Remove python from FutureOptionCallITMGreeksExpiryRegressionAlgorithm
* initial commit
* run parametrized algorithm with command line parameters
* skeleton: top level structure
* OptimizationNodePacket scheme
* pass parameters as HashSet
* run Lean and read results
* call method on optimization completion
* refactor public interfaces
- close ParameterSet collection; allow only get operations
- explicit method to start LeanOptimizer
* synchronize RunLean method; the result could come in before the backtest id is set in the collections
* another portion of refactoring and interface changes
* comments
* comments & tests for Extremum, Minimization and Maximization classes
* unify optimization paramater values (min, max, step) & mode GridSearch tests
- swap min&max if necessary
- iterate left => right (negate step value if necessary) & provide default step value if step == 0
- no StackOverflow Exception
- parameterSet Id should be global for current generator and retain between steps
- test signle point boundary (min == max)
* BruteForceStrategy tests
* more comments
* Update Optimizer assembly information
- Update Optimizer projects assembly information to match behavior of
the other projects
* Tweaks
- Adding comments
- Replace OnComplete for Ended event
- Replace Abort for Dispose
- ConsoleLeanOptimizer will keep track of running processes
- Each backtest will store results in a separated directory, so they
don't fight for the log.txt file.
- Adding cmdline option for lean to close automatically
- Adding concurrent execution backtest limit
- Console optimizer will start Lean minimized
- Escape spaces in Json path
* remove parameter set generator abstraction layer
we don't need this flexibility now.
* refactor public methods; Step shouldn't be public
* constraints: wip
* define contract
* comparison operators and tests
* specify JsonProperty values
* Move SafeMultiply100 to extensions
* Throw exception on failed Optimizer.Start
* constraints: wip
* change finish & dispose process
* minor fixes
- handle force lean abort
- notify consumer if target has been reached
* target & constraints; adapt unit tests
* Minor Tweaks and fixes
- Some logging improvements
- Remove Public since not required
* Ignore empty ParameterValue
* simplify condition
* avoid reinitialization
* reduce type; force immutable
* unit tests for constraints and target value
* parse & normalize percent values, i.e. 20% => 0.2
* fixup
* Target & Constraint & OptimizationNodePacket unit tests
* Add more json unit tests
- Adding more json conversion unit tests. Fix bug for Extremum which
wasn't using the converter.
* LeanOptimizer tests
* Estimation results
* User thread safe counters
* LeanOptimizer unit tests; push OptimizationResult on Ended event
* more unit tests
* Minor tweaks
-Estimate ToString in a single line.
-Typos and missing header file
* Add base SendUpdate method
- Add base SendUpdate method for LeanOptimizer
* fix LeanOptimizer test; rely on internal Update rather than timer
* Add OptimizationStatus
- Add missing commments and OptimizationStatus
* EulerSearch implementation: wip
* OptimizationParameter custom converter
* change the type
* make step optional
* change folder structure
* enumerate optimization parameter using IEnumerable & IEnumerator
* unit tests: parameters & objectives
* unit tests: strategies
* remove redundant TODO
* change Euler search boundaries
* more Euler tests
* prevent race condition
* Add account/read endpoint
- Adding account/read endpoint. Adding unit test
* Add status check before running lean
* Minor self review
- Adding missing comments, minor changes
* remove array parameters
* minor changes
- tidy up config file, rename variable
- accept min less or equal than max
* move OptimizationParameter methods to strategies
* Minor improvements for BaseResultHandler derivates
* minor changes
- strict requirements for Step and MinStep values
- strategy specific settigs
* Add TotalRuntime to estimate
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* Reformat/cleanup OptionStrategies
This file was breaking pretty much every style convention in LEAN.
There are other things that should be addressed in here that weren't,
such as passing non-argument names as argument names for ArgumentException,
as well as preferring constructors over property initializer syntax, but
such changes aren't being made to keep this commit strictly reformatting
instead of refactoring.
Added braces and reformatted long lines to make code more legible.
* Add abstract base class for OptionStrategy Option/UnderlyingLegData
This allows us to create either or and later use the Invoke method to push it
into the appropriate list on OptionStrategy.
* Replace O(n) option contract search with 2 O(1) TryGetValue calls
A better improvement would be resolving the correct symbol in the strategy, but
this immediate change is instead just focused on removing the O(n) search inside
a loop.
* Add BinaryComparison and supporting methods in ExpressionBuilder
We're going to use these binary comparisons to make it possible to create
ad-hoc queries against a collection of symbols. Using these expressions,
along with type supporting composition of these expression, we'll be able
to define predicates that can declaratively define how to match an option
strategy with an algorithms current holdings.
* Make GetValueOrDefault defaultValue optional
Was receiving ambiguous invocations leading to neading to invoke this
method explicitly (LinqExtensions.GetValueOrDefault) instead of being
able to use it as an extension method. Making the default value optional
seems to have resolved this ambiguity, leading to cleaner code in the
OptionPositionCollection (forthcoming)
* Add OptionPosition and OptionPositionCollection
OptionPositionCollection aims to provide a single coherent interface
for querying an algorithm's option contract positions and the underlying
equity's position in a performant, immutable way. The immutability of
the type is necessary for how the options matcher will operate. We need
to recursively evaluate potential matches, each step down the stack removing
positions from the collection consumed by each leg matched. This will enable
parallelism of the solution as well as simplifying the mental model for
understanding due to not needing to track mutations to the collection
instance.
* Add Option test class for easily creating option symbol objects
* Add OptionStrategyLegPredicate and OptionStrategyLegDefinition
The definition is a composition of predicates, and each predicate supports
matching against a set of pre-existing legs and a current position being
checked for the next leg (this leg). In addition to the matching functionality,
it also supports filtering the OptionPositionCollection, which is where much
of the work for resolving potential option strategies is done. By successively
filtering the OptionPositionCollection through successive application of predicates,
we wil end up with a small set of remaining positions that can be individually
evaluated for best margin impacts.
All of this effectively unrolls into a giant evaluation tree. Because of this
inherent structure, common in combinatorial optimization, the OptionPositionCollection
is an immutable type to support concurrent evaluations of different branches of
the tree. For large position collections this will dramatically improve strategy
resolution times. Finally, the interface between the predicate and the positions
collection is purposefully thin and provides a target for future optimizations.
* Add OptionStrategyDefinition and OptionStrategyDefinitions pre-defined definitions
The OptionStrategyDefinition is a definitional object provided a template and functions
used to match algorithm holdings (via OptionPositionCollection) to this definition. The
definition defines a particular way in which option positions can be combined in order to
achieve a more favorable margin requirement, thereby allowing the algorithm to hold more
positions than otherwise possible. This ties into the existing OptionStrategy classes and
the end result of the matching process will be OptionStrategy instances definiing all
strategies matched according to the provided definitions.
* Add OptionStrategyMatcher and Options class, w/ supporting types
OptionStrategyMatcherOptions aims to provide some knobs and dials to control how
the matcher behaves, and more importantly, which positions get prioritized when
matching. Prioritization is controlled via two different enumerators, one controller
which definitions are matched first and the other controller which positions are
matched first. Still unimplemented, is computing multiple solutions and running the
provided objective function to determine the best match. When this gets implemented,
we'll also want to implement the timer. For anyone looking to implement these features,
please talk with Michael Handschuh as there's a particular way of representing these
types of combinatorial solutions (a 3D tree) that can be used as a variation of the
linear simplex method for optimizing combinatorial problems.
* OptionStrategyMatcher: Address PR review comments
* Ensure created OptionStrategy legs all have the same multiplier
Each leg definition match gets it's own multiplier which indicates the
maximum number of times we matched that particular leg. When we finish
matching all legs, we pick the smallest multiplier from all the legs in
the definition and use that as the definition's multiplier. When we go
to create the OptionStrategy object we MUST make sure we're using the
multiplier from the definition and not from the individual legs.
This change fixes this issue and also provides a guard clause to ensure
that we're not trying to use a multiplier larger than what was matched.
* Add XML docs for OptionStrategyDefinitions from OptionStrategies
* Limit rounding interval to 1 day, add SubtractRoundDown and AddRoundUp functions
* fix error message
* Only subtract round down if period is greater than a day
* Tests
* Comment clarification
* Pivot solution to simple fix
* fix error message
* Remove RoundDown/Up limitations; add remarks
* address review
Martin-Molinero