* Add Price, Value and Close aliases to BaseContract
Expose Price, Value and Close on BaseContract as aliases of LastPrice to
mimic the BaseData/TradeBar API without inheriting BaseData. Marked with
PandasIgnore to avoid duplicating the LastPrice column in chain DataFrames.
* Keep BaseContract chains DataFrame unchanged for Value alias
The pandas converter force-includes the 'Value' member for non-Lean-data
types (to preserve the value column of custom data types despite
BaseData.Value being PandasIgnore'd). That override made the new
BaseContract.Value alias leak into option/future chain DataFrames as a
redundant 'value' column. Exclude BaseContract-derived types from the
forced inclusion so their PandasIgnore'd aliases are honored and the
chain DataFrames stay unchanged.
* Isolate OptionContract alias test from shared price-model singleton
OptionContract's default option data is the shared static
OptionPriceModelResultData.Null singleton, which other tests mutate via
Update. Reading LastPrice before setting up the contract's own data made
the assertion depend on global test state (failing in CI with a leaked
price). Assign a dedicated price model so the contract no longer reads
from or writes to the shared singleton.
* Give each OptionContract its own default option data instead of a shared singleton
OptionContract initialized its option data to the shared static
OptionPriceModelResultData.Null singleton. Update() mutates that data, so
contracts without an explicit price model shared and clobbered each
other's trade/quote/open-interest state (a latent bug, and the cause of
order-dependent test failures). Each contract now gets its own default
OptionPriceModelResultData instance, and the alias test no longer needs
to work around the shared state.
* Restore shared Null option data default and reset it in test SetUp
Revert OptionContract back to the shared static OptionPriceModelResultData.Null
default. To keep the alias test deterministic, reset that singleton in the
fixture's SetUp by updating a throwaway contract with a zero-priced trade bar,
and give the tested contract its own price model so its Update doesn't
re-pollute the singleton.
* Default Data to null for ETFConstituentUniverses.
The data collection will be assigned only if needed. This allows data column to be filtered from dataframes since it will always be null for all constituents.
* Make base data collection aggregator reader fall back to BaseDataCollection
After instatiating the collection type, fall back to the base BaseDataCollection to aggregate data if the type is not a base data collection.
* Minor change
* Minor change
* Update pythonnet to 2.0.41
* Ignore data column for every flattened universe dataframe
* Filter empty collections columns in data frames
* Allow snake case named attributes in PythonSlice
* Remove PythonSlice Data Python class
Pythonnet handles dynamic objects behavior
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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 support for auxiliary data history request
- Add support for split/dividends/margin interest history requests.
Adding regression algorithms
* Expand auxiliary history regression tests
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* Refactor universe historical data source
- Add new universe history API methods
- Refactor QuantBook UniverseHistory to use the universe selection
itself instead of a given func
- Refactor and rename fundamental types
- Refactor AddUniverse API to handle universe collection data which
holds another type internally, like fundamental
* Fix minor bug causing ApiDataProvider not to serve Bitfinex universe data
* Further improvements to add universe API
* Handle no selection function
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* New Fundamental Data
* Minor CIK lookup fix
* Handle live mode & delete unexisting properties
* Minor coarse fundamental adjustment
* Add fundamental history support
* Fix unit tests
* Performance improvements
* Fixes
* Minor regression algorithm fix
* Improvements. Add FundamentalUniverseSelectionModel
* Change default values
* Fix unit test
* Minor tweaks
* Fix unit test
* Minor error handling improvement
* Fix rebase
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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
* Memory Related Performance improvements
- Make sure we cleanup & dipose of python related objects during pandas
data generation.
- Disable memoizing enumerable use while creating pandas data frames,
since we do not require it
- Reduce unrequired object creations
- Replace concurrentCollections for ordinary locks
* Decimal parsing typo fix
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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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* 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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* 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
* 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 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
* 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.
Use the original `pandas.Series` to create `Series` objects before `DataFrame` (wrapper version) creation.
It improves the speed because it avoids unnecessary and expensive index wrapping operations of the `DataFrame` creation.
In this implementation, we dynamically create new classes that wraps key functions and properties. The wrappers will map/convert any parameter that are convertible to the string representation of Symbol.ID before they are used by the original function/property.
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
- 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`.
- Moving mapper from C# to Python since some cases did not work when
implemented in C#
- Small changes to `PandasDataFrameHistoryAlgorithm` which runs till the
end with no errors
- Adding more backwards compatible unit tests
Jhonathan Abreu