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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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* Apply splits and dividends to volatility models
* Apply splits and dividends to volatility models using history requests
* Add new ScaleRaw data normalization mode
Handling the new mode in the price scale enumerator.
* DataNormalizationMode.ScaledRaw history requests
* Minor changes
* Minor changes
* Disable new normalization mode in AddSecurity methods and other minor changes
* Peer review
* Minor changes
* Peer review
* Minor changes
* Peer review
* Peer review
* Peer review
* Add scaled raw history regression algorithm
* Add more regression algorithms
* Add more regression algorithms
* Add Slice.TryGet unit tests
* Peer review
* Peer review
* Peer review
* Peer review
* Peer review
* Update algorithms stats
* Peer review
* Peer review
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* CryptoFutures adjustments
- Address reviews of CryptoFutures:
- Add new Slice MarginInterestRates collection
- Add new regression tests asserting funding rate application behaves
the same no matter the resolution
- Add auxiliary data by type into the security cache
- Revert BuyingPowerModel changes
* Make interest rate application time deterministic
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* WIP
* Add base currency cash
* Symbol properties and data processing
* Add basic template algorithm
* Add hourly crypto future algorithm
* Minor fixes after live trading testing
* CoinApiDataQueueHandler CryptoFuture support
* Address reviews
* Fix regression algorithms after update
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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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* initial commit
* get history from data providers
* merge history from history providers
* merge slice
* Add merge function in slice
* Update test
* merge aux data
* add data points in _data
* append new data points in original list
* Add test suite for HistoryProviderManager
* reduce complexity
* setup once
* add fake history provider
* doesn't count aux data
* add tests for options
* style changes
* add custom data
* merge rawDataList
* use array of history providers
* optimize
* fix formatting error
* add comment
* add tests
* simplify
* use list
* use abstraction
* split tests
* add test
* use abstraction to create generic enumertor class
* refactor
* accept list of type T
* sync history slices
* use SubscriptionDataReaderHistoryProvider for live
* rename test file
* return empty
* add tests
* cleanup
* address reviews
* optimize
* Fix method definition
* use initial time for basedata
* refactor
* re-use collection
* inherit HistoryProviderBase
* always return HistoryProviderManager
* add tests
* update rawDataList
* reset composer
* consider null elements
* add tests for binary search method
* Follow lean coding style
* revert
* remove binary search method
* convert to field
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* Adding unit tests reproducing issue.
* Fix a couple of minor bugs
- IsMarketOpen will work correctly when used with daily and hourly
resolution.
- slice.Get will work correctly with python custom data
- ExtendedDictionary will be able to dinamically access methods,
required for python and private C# data types
* Refactor solution. Add more tests
* Remove unrequired import statement
- Fix Slice.Get OpenInterest type. Adding unit test
- Fix for SecurityCache that wasn't storing OpenInterest types
- Updateing regression tests to covere these usages
- Adding new ReferenceWrapper for structs, value types, to avoid thread
race conditions while reading and writting. In C# reference type
assignments are atomic, so it allows us avoid using locks.
- Slice dynamic data accessors will ignore QuoteBars and
Ticks TickType.QuoteBars for equities. This is to make slice dynamic
accessors deterministic and avoid breaking backwards compatibility when
adding QuoteBars for equities.
- Fixes:
- `Slice.GetValues`
Not returning the `Value` but the `KeyValuePair`
- `ExtendedDictionary.update(PyObject)`
Paramenter type should be `PyObject` not `PyDict`
- Adds unit test for `update()`
- Fixes `OrderListHash` of `PythonDictionaryFeatureRegressionAlgorithm` test.
Changes the return type of `keys()` and `values()` methods to `PyList`. Since `Keys` and `Values` return `ICollection` in some cases, the Python type was not consistently of `list` type.
`BaseDictionary` is an abstract implementation of `IExtendedDictionary` keyed by `Symbol` that implements Python `dict` methods. `Slice`, `DataDictionary`, `SecurityManager`, and `SecurityPortfolioManager` derives from it in order to behave like Python `dict`.
- Fixing Python slice enumeration which would not happen when custom
data was present. Adding unit test
- Fix Slice constructor which would fail to create data collections due
to relying on non-deterministic 'slice._data'. Adding unit test
- Improving custom data retrieval for symbols which have more than 1
data type in a slice. Adding unit test
- First step refactoring slice internally, no behavior changed
- WarmupIndicator will be able to determine the correct type to use
- Fix bug in `History.GetMatchingSubscriptions()` which would use the
same TZ for exchange and data. Covered by regression algorithm.
- Consolidate will only infer `TickType` from `T` is not abstract
- Adding regression algorithm
- Slice will expose `Get(Type)` to get data by type, adding unit tests
- SymbolData at Slice will keep track of the types it has and GetData
will always return in the same order, TradeBars, QuoteBars, Tick, Custom
- Fixing slice.Get(type) for custom type which relied on insertion order
- Updating regression test
- Only define `DEBUG` is `SelectedOptimization` is not defined
- `DynamicSecurityData` will Keep a cache of the generic types
- Avoid using so much linq at `Security.Update()`
- `Slice` will also keep a cache of the generic types
Refactors existing consolidators, indicators, and helper methods to depend on
IBaseData instead of BaseData. These updates also defines an IBaseDataBar to
act as an abstraction point between TradeBar and QuoteBar.
This includes updating all usages of symbol as a security identifier to use the new type.
The type includes a unique field, SID, as well as the current ticker's value. This allows
for consistent addressability while also allowing the ticker to evolve over time with the
mapping changes.
Effort was made to maintain compile and runtime backwards compatibility.
Martin-Molinero