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* feat: new Level One service
feat: new ctor in Tick
fix: missed SetValue in Tick ctor
* refactor: LevelOneService
feat: Tick Event Args
* feat: use aggregator in LevelOneService explicitly
remove: extra TickEventArgs
* feat: ThreadSafeDataAggregatorWrapper
refactor: use ThreadSafeDataAggregatorWrapper in LevelOneService
* feat: generic LevelOne Market Data Manager
refactor: LevelOneMarketData
remove: ThreadSafeDataAggregatorWrapper
* feat: support OpenInterest in LevelOneMarketData
feat: add EventBasedDataQueueHandlerSubscriptionManager in LevelOneServiceManager
feat: handle OpenInterest
* feat: add missed license in BaseDataEventArgs
* feat: create un-subscribe wrapper in LevelOneServiceManager
refactor: TryGetLevelOneMarketData
feat: validate the same Quote data in LevelOneMarketData
* feat: handle nullable value in levelOneMarketData
* feat: handle nullable value in LevelOneServiceManager
* refactor: change location of LevelOneMarketData Service
test:feat: test of LevelOneMarketData
* feat: add SetIgnoreZeroSizeUpdates
* refactor: use ignoreZeroSizeUpdates internally in TryResolvePriceSize
* refactor: position add symbols in collection in LevelOneServiceManager
* fix: validation of IgnoreZeroSizeUpdates setting in LevelOneMarketData
* test:feat: validate UpdateLastTrade with IgnoreZeroSizeUpdates setting
test:refactor: use global DateTime in testCases
* fix:test: missed calculation value in QuoteBar
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* Normalize universe data frames
Universe and (generically BaseDataCollection) data frames are not normalize and unpacked into a data frame, instead of just creating data frames with the universe lists within it
* Fix unit tests and algorithms to expecte new universe dataframe format
* Fixes
* Add PandasConverter.DataFrameGenerator class
* Pandas data frame generator class fixes
* Add comments
* Housekeeping
* Add attributes to mark classes and properties for pandas processing
* Improve pandas properties expanding
Allow and handle duplicate names
* Use PandasData generalization for Lean common data types
* Add points time as column when converting base data collections to data frames
* Cleanup and minor changes
* Minor change
* Pandas data to get type members on demand
* Move Pandas helper classes to their own files
* Minor changes
* Add flatten argument to python history api
This allows users to decide whether they want fully expanded dataframes for universe and other collection data types. Else, master behavior is kept
* Adding missing changes to last commit
* Update Pythonnet version to 2.0.40
* Add flattent argument to algorithm's OptionChain api
* Minor changes
* Housekeeping
* Minor changes
* Bug fix skipping data collection data points
* Add comment
* Set correct exchange time to OptionUniverse instances
* Address peer review and cleanup
* Cleanup
* Minor changes
* Fix pandas converter to handle list of data with different symbols
* Properly convert list of data into dataframe
Take into consideration data for multiple symbols in the same list
* Cleanup
* Index dataframes by symbol object instead of SID string
* Add symbol equality operator to compare against object
* Exclude "ID" from option chain dataframe
* Minor fix
* Add greeks columns directly in option chain dataframe.
Also add pass-through properties for greek values in OptionUniverse
* Some cleanup
* Minor fix
* Add new QCAlgorithm.OptionChains() method
- Use OptionChains as output
- Add DataFrame to OptionChain and OptionChains
- Rename Greeks classes
- Add ISymbolProvider for classes that have a symbol (IBaseData, OptionContract)
* Unify QCAlgorithmOptionChain API
Also refactor OptionContract to handle: (1) Actual market data and option price model data, and (2) OptionUniverse data
* Pass symbol properties to OptionUniverse option chain from algorithm
* Format OptionContract for dataframe
* Minor fix
* Add multiple option chains api regression algorithms and other minor changes
* Address peer review
Add NullGreeks class: keep ModeledGreeks as internal as possible
* Minor fix and add PandasConverter unit tests
* Peer review: Non-thread-safe Lazy for Python
* Handle Greeks unwrapping by PandasData
* PandasData cleanup
* Add data and other minor changes
* Unit test fix
* Update Pythonnet to 2.0.39
* Cleanup
* PandasData handling children class members
Address peer review
* Fix: indexing symbol conversion in pandas mapper
* Fix pandas mapper to convert string keys to symbol only when necessary
* Cleanup
* Cleanup
* Add PandasColumn python class to handle proper indexing
This allows propery hash and equality between Symbols, C# strings and Python strings
* Minor fixes
* Symbol cache improvements
* Minor fix for cache miss
* Revert PandasMapper reserved names and improvements
* Minor fix
* Revert reserved names
* Minor fix for Symbol equality operators
---------
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
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* Add ClrBubbleExceptionInterpreter
* Add ClrBubbledExceptionInterpreter tests
* Bump pythonnet version to 2.0.23
* Minor changes
* Minor change
* Minor fix
* Fix failing unit tests
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* Pandas frame include all ticks
- Pandas data framde history response will include all ticks. Updating
existing and adding new tests
* Python pandas converter performance improvement
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* Refactor alpha statistics
- Refactor alpha statistics, cleaning up and simplifying no longer required calculations and scoring
- Adding new InsightEvaluator abstraction, adding C# & PY regression
algorithms
* Optimization backtest result json converter update
* Address reviews
- Remove IAlphaHandler, move insight storage responsability to IResultHandler
and centralizing insight collection on the QCAlgorithm.Insights to be
reused by the framework models
- Fix portfolio turnover single day backtests and duplicate time
sampling handling. Updating regression algorithms
* Add InsightCollection tests and minor fixes
* Adding more & improved tests
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* Handle non-unique multi-index error for Ticks in data frame creation
* Update unit tests
* Update unit tests and add comments
* Add regression algorithm
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* Overload PandasConverter.GetIndicatorDataFrame to accept a Python dict
* Shared implementation code for PandasConverter.GetIndicatorDataFrame overloads
* Added documentation for private shared methods used by PandasConverter.GetIndicatorDataFrame
* Added unit tests for PandasConverter.GetIndicatorDataFrame
* Added unit tests for PandasConverter.GetIndicatorDataFrame Dictionary overload
* Address change requests
* Address change requests
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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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* Do not send internal SecurityChanges to Algorithm
- Will not send internal security changes to the Algorithm by default.
Following custom security changes filter pattern. Updating regression
algorithms to assert behavior.
- The universe member will know wether it was added with internal
configurations or not
* Address reviews use a separate collection for internals
* Refactor solution. Adding security changes constructor class
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* Fix for python enumerable data history request
- Fix for python enumerable type data history request. Adding unit test.
* Add methods for adding data points into a baseDataCollection
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* Lean exchanges improvements
- Adding new Exchange class to avoid exchange code clash.
Adding and updating unit test
* Add Market for MapFile API
* Self review
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* Refactor pandas mapper to support newer versions
* Clean up remapper
* Finalize deprecated tests and adjust those that should apply to new pandas
* Move mapper to its own file
* Add supporting Py tests and setup instructions
* Add license
* When a BaseData instance has Nullable fields, the number of data
points per Series is inconsistent, and results in a Series with
a length different from the other Series we produce, resulting
in an error "ValueError: cannot handle a non-unique multi-index!"
when we were constructing the final DataFrame.
Methods: 'diff', 'div', 'divide', 'drop', 'drop_duplicates', 'droplevel', 'dropna', 'dtypes', 'duplicated'
`BackwardsCompatibilityDataFrame_binary_operator` replaces `BackwardsCompatibilityDataFrame_add` to handle all operations (more to be added in future commits)
`Remapper.__getitem__` was not returns a `Remapper` object when the result was `pandas.DataFrame`. It is needed for a sequence of `.loc.` calls.
Refactors `Remapper._self_mapper` to handle tuples where the key can be found in both first and second position.
Update unit tests that should test `Symbol` object as key, but were using `str(Symbol)`.
- Add support for Symbol key access for pandas ix and iloc results
- Wrapp pdf merge, join, concat method results
- Wrapp pandas.concat method result with `Remapper`
- Adding unit tests
- Adding `SecurityCacheProvider` this class allows for two different
`Security` to share the same data type cache through different instance
of `SecurityCache`. This is used to directly access custom data types
through their underlying in a peformant maner
- Some small improvements
- Covers another level on inheritance of Market Data by using `Type.IsAssignableFrom`
- Caches the list of `MethodInfo` for custom data types to avoid redefining that list.
When custom data classes inherited from market data classes such as `TradeBar`, it created duplicate entries. Therefore, we need to exclude the common properties in the private field `PandasData._members`.
JosueNina