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* Super Trend Indicator #4653
* Updated test data
Previous test data was wrong
* Reduced if statement
* Updated tests
Replacing spy test data with dwac test data from trading view.
* Minor comment update
* Minor tweaks
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* First BetaIndicator prototype
- In construction
* Fist BetaIndicator version and unit tests
* More unit tests and regression test
* Nit change
* Requested changes
* Nit changes
* Requested changes
* Adjust beta formula slightly and nit changes
* Nit change
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* Implement IIndicatorWarmUpPeriodProvider
- Implement IIndicatorWarmUpPeriodProvider in PythonIndicator.cs
- Make a unit test to check whether the WarmUpPeriod is working as expected
- Make a regression test to check the new feature at a system level
* Nit change
* Change Period parameter for WarmUpPeriod parameter
- Change regression test to check if the new parameter keep backwards compatibility with indicators that do not set WarmUpPeriod
* Documentation change
* Fix tests bugs
- In CommonIndicatorTests.cs before finish the test it checks the period.value with the number of samples but for default the period.value was set to -1
* Change names
* Change WarmUp and RegisterIndicator methods
- Lean WarmUp indicator skip custom python indicators that don't define WarmUpPeriod parameter
* Call WarmUpIndicator manually
- Add a new "bridge" method called WarmUpIndicator in QCAlgorithm.Python.cs to set up everything to call WarmUpIndicator in QCAlgorithm.Indicators.cs
- Change the regression algorithm to warm up the indicators manually
* Remove unnecessary code and add more tests
* Nit change
* Revert "Nit change"
This reverts commit da411f59c9e4295d75a11c6c581f615a938dd2c6.
* Fix bugs
* Try fix bugs
* Add C# regression test
- More nit changes
- Fix bugs
* Requested changes
* Remove unnecessary code
* Requested changes
* Nit changes
- Add new Python class to check a custom indicator, which doesn't inherits from PythonIndicator, warms up properly
* Reduce redundant code
* Fix bug and add more unit and regression tests
* - Add more unit tests
* Nit change
* Test cleanup
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
* Implement IIndicatorWarmUpPeriodProvider
- Implement IIndicatorWarmUpPeriodProvider in PythonIndicator.cs
- Make a unit test to check whether the WarmUpPeriod is working as expected
- Make a regression test to check the new feature at a system level
* Nit change
* Change Period parameter for WarmUpPeriod parameter
- Change regression test to check if the new parameter keep backwards compatibility with indicators that do not set WarmUpPeriod
* Documentation change
* Fix tests bugs
- In CommonIndicatorTests.cs before finish the test it checks the period.value with the number of samples but for default the period.value was set to -1
* Change names
* Change WarmUp and RegisterIndicator methods
- Lean WarmUp indicator skip custom python indicators that don't define WarmUpPeriod parameter
* Call WarmUpIndicator manually
- Add a new "bridge" method called WarmUpIndicator in QCAlgorithm.Python.cs to set up everything to call WarmUpIndicator in QCAlgorithm.Indicators.cs
- Change the regression algorithm to warm up the indicators manually
* Remove unnecessary code and add more tests
* Nit change
* Revert "Nit change"
This reverts commit da411f59c9e4295d75a11c6c581f615a938dd2c6.
* Fix bugs
* Try fix bugs
* Add C# regression test
- More nit changes
- Fix bugs
* Requested changes
* Remove unnecessary code
* Requested changes
* Nit changes
- Add new Python class to check a custom indicator, which doesn't inherits from PythonIndicator, warms up properly
* Reduce redundant code
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* Implement scheduled event sampling solution
* Use UTC time, only update daily portfolio value once a day
* For daily resolutions sample chart always
* Cleanup
* Drop resample daily all together
* Force final sample
* Regression updates
* FIx LiveResultHandler to update portfolio and benchmark values outside of sampling event
* Name the daily sampling event
* Address review pt 1
* Drop force and use reference wrapper
* Adjust tests
* Fix warning for Benchmark Timezone Misalignment and also add test
* Fix for daily resolution orders and test adjustments
* Also warn on universe settings with daily resolution
* Update missed regression
* Fix reference wrapper use
* Update regression after rebase
* Add values back in for Daylight Algo
* Have statistics builder skip day 1 performance
* Regression adjustments
* Test adjustments
* Update regression unit test
* Adjust some regressions starts to show performance values
* Add hourly algorithm for beta comparison
* Address missing Python regression changes
* Remove null comment
* Adds support for getting a Lean symbol based on FIGI, CUSIP, ISIN, SEDOL
* Address review: bug fixes for mapping, improve docs, cleanup & refactor
* Make LocalZipMapFileProvider and LocalZipFactorFileProvider only
initialize if they haven't been initialized yet.
* Address review: makes ISIN, SEDOL, CUSIP case-insensitive
* Cleans up map file provider in SecurityDefinitionSymbolResolver
* Modifies some test cases to test for case-insensitivity
* Add null check for SecurityDefinitions
* Fix unit tests
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Add ValueAreaVolumePercentage Parameter
Remove hard coding of parameter and set it to optional parameter for the user.
* Update TimeProfile.cs to include valueAreaVolumePercentage parameter
* Update TimeProfile definition in QCAlgorithm.Indicators.cs
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* Create Market Profile indicator.
* - Requested changes in MarketProfile indicator made it.
- TimeProfile and VolumeProfile created and tested.
- tp_datatest.csv and vp_datatest.csv extracted from https://github.com/bfolkens/py-market-profile
* Final potential Market Profile Indicator.
All unit test made it and the indicator is passing all of them
Test cases made it with python library from GH issue
* Code styling request changes
* Minor suggestions
* Minor renaming tweaks
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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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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* Alpha Streams improvements
- Warmup added securities so we can trigger an order right away
- Fix bug where AddSecurity returned a security which was not the one
being used
- Fix bug where EWAS PCM would remove from a dictionary while iterating
over it
* Fix unit tests
* Add QCAlgorithm.GetLastKnownPrices API
- Add new GetLastKnownPrices that will return the last known data point
for all subscribed data types.
- Fix for MHDB GetDataTimeZone which was using an invalid entry key
format for custom data.
- Fix for using GetLastKnownPrice/s to seed a security during creation,
when it's not added in the Algorithm.Securities collection
* Adding more unit tests for GetLastKnownPrice
* Address reviews
- Refactor GetLastKnownPrice/s to perform a single history request for
all data types
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- After https://github.com/QuantConnect/Lean/pull/5872 trading API
changes numpy float64 was not converted correctly by pythonNet and
used an int. Reverting API changes and adding regression test. This
should be fixed at pythonNet layer
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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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* Add basic template Atreyu algorithm
- Add C# and Python basic template atreyu algorithm. Show casing how to
specify exchange to execute in different ways.
- Adjust trading API to allow specifying order properties to use
* Lean Exchange improvements
- Rename PrimaryExchange to Exchange
- OrderPropeties will use Exchange enum instead of string
- Adding BSE exchange value
* Regression tests fixes
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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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- Calling RemoveSecurity() will remove the security from all the
universes holdings it, there was a race condition here where it would
just take the first universe and remove it from it.
Adding regression test adding and removing an option contract and it's underlying
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* Added Augen Price Spike Files
* AugenPriceSpike Update
Adjusted indicator calculations and added test data from Trading View
* Requested Changes
* Minor changes
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* Update charts that are not empty and not default values
* Testing
* Filter final results
* Explicitly filter alpha charts if not needed
* Use filtered charts for Live results handler
* Refactor solution to manage alpha charts internally by creator
* nit comment fixes
* Implement drawdown as default chart
* Implement Capacity Estimate for backtest default chart
* Add default values to QC.Plotting
* Adjust drawdown calculation
* Only sample "Capacity" once a day
* Implement Volume chart
* Nit fixes
* Volume Chart adjustments and fixes
* Rename to "Assets Sales Volume"
* Implement Exposure Sampling
* Store algorithm currency symbol, round capacity to nearest 1k
* Add new plots to default charts
* nit change name
* Address reviews
* Reduce duplication and clean up exposure sampling
* Address reviews
* Improve sample exposure
* Address review
* Only enumerate holdings once
* nit - comments
* Post rebase fix
* Don't need to round anymore
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* Python research import improvements
- Improve start.py for research env
- Remove unrequired imports
* Centralize algorithm imports
* Add regression test GH action
* Unit test python import clean up
* Join research and main imports
* More python import clean up
* Fix failing skipped regression algorithm
Build & Test Lean / build (push) Has been cancelled
* Attempt to remove SecurityInitializer from UniverseSelection stack entirely
* Fix broken Python Universe Selection model
* Remove mistake change (meant for another branch)
Build & Test Lean / build (push) Has been cancelled
* Implements PivotPointsHighLow indicator + tests
# Conflicts:
# Tests/QuantConnect.Tests.csproj
* Some fixes
* Refactoring + Adds NewPivotPointFormed event
* Fixing tests
* Some fixes for the Get methods to not throw when points array is empty
* To address review + more fixes
* Fixing xml comments typos
* Implements separate rolling windows to calculate highs and low
* Makes the number of last stored indicator values as an input parameter
* Overrides Reset()
* Adds a helper method
* Change numerical return to Enum types
* Changes IsReady condition :
the indicator is ready and starts calculating the pivot point when any of the rollings is ready
* Address reviews
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Build & Test Lean / build (push) Has been cancelled
* Do not restrict unrequested securities by 1.0m leverage, let security initializer do its job
* Use UniverseSettings for leverage, fillforward, and extendedmarkethours
* Update unrequested security message
* Use UniverseSettings ExtendedMarketHours for underlying on OptionContracts
* Add unit test to prove setting persistence
* Cleanup unit test
* Adjust crypto unit test assert
Co-authored-by: Colton Sellers <Colton.R.Sellers@gmail.com>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Build & Test Lean / build (push) Has been cancelled
* Fix FutureOptionMarginModel Margin Requirements
- Fixes FuturesOptionsMarginModel margin requirements being zero due to
underlying being null on model creation. Adding unit test
* Address reviews
- SecurityService will set underlying when creating a new security when
provided
Build & Test Lean / build (push) Has been cancelled
* Reconcile and consolidate SetupHandlers
* Centralize GetConfiguredDataFeeds()
* nit - extra space
* Check for null, also allow null to be passed back if no config value
* Fix breaking test
* Cleanup
* fix return var
* remove unneeded if/else
* Minor changes
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Build & Test Lean / build (push) Has been cancelled
* Use UniverseSettings.DataNormalizationMode for securities added in Algorithm
* Stop SubscriptionUtils from forcing Adjusted mode
* Return behavior to original and add comments
* nit typo
* Add regression
* Add unit test that verifies DataNormalizationMode can be altered manually by security
* Cleanup and add Py version of regression
* 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>
* Log security mode change once per universe addition process
* Limit max size of the warning queue to 10
* Only allow to emit once per backtest
* Set limit as var, if at limit suggest more
* Always suggest more warnings may exist because we opted to log only once
* Improves greeks configurability and defaults for all option asset types
* Makes `StandardDeviationOfReturns` configurable by users, so that
greeks can be loaded according to user expectations and the series
of returns that they'd like to compute for `n` periods and timespan
of `T`, as well as resolution of the data in live mode.
* Changes resolution to max resolution available for the default
volatility model created for the security. Usually this only applies
to live mode, but if creating an instance of the
`StandardDeviationOfReturns` volatility model and no `updateFrequency`
is provided, the resolution's time span will be used as the default
value. Backwards compatibility for equities is maintained.
* Changes defaults for `StandardDeviationOfReturnsVolatilityModel`
to warmup greeks faster for other derivative asset types
* Improves comments on `StandardDeviationOfReturns` for clarity on how
to use the volatility model for end users
* Fixes bug where TradeBar could not have proper Symbol set when getting
max resolution
* Applies to QCAlgorithm.Universe and StandardDeviationOfReturnsVolatilityModel
* Adds tests to check volatility model is updated at specified config intervals
* Address review: add shared method for (Relative)StandardDeviation
volatility models
* Adjusts logic to determine bar type
* Address review: order by TickType when getting configs inside volatility models
- Testing net5 uncovered these algorithms to be undeterministic
- Adjusting AllShortableSymbolsCoarseSelectionRegressionAlgorithm
internal implementation
- Order removal of universe members will be deterministic, when the
entire universe is removed.
* Add SI
* Add ASI
* Add Swing Index
* Add Accumulative Swing Index
* Fix XML comment
* Add SI and ASI
* Add test data
* Add SI tests
* Add ASI tests
* Convert get only properties to methods
* Fix indicator name
* Replace special characters
* Fix indicator formula
* Replace test data
* Replace test data
* Update QCAlgorithm.Indicators.cs
* Minor format tweaks
Co-authored-by: Jared <jaredbroad@gmail.com>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Martin-Molinero