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Registering an indicator or consolidator for a symbol that had not been
subscribed to threw 'Please register to receive data for symbol ...'.
Order submission already auto-subscribes the symbol on the user's behalf;
this applies the same behavior to indicator/consolidator registration.
GetSubscription now adds the security automatically when it has no
subscription (guarded by the shared CanAutoAddSecurity check, which is
also used by order submission) before falling back to the error. The
subscription lookup is exposed via a TryGetSubscription out-parameter
helper.
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* Convert daily resolution market orders to MarketOnClose/MarketOnOpen
A market order placed intraday (e.g. through a scheduled event) on an
asset subscribed only at daily resolution has no fresh intraday price to
fill against, so it was filling at the stale previous daily close. This
is common when mixing daily resolution assets with minute resolution
assets or intraday scheduled events.
QCAlgorithm.MarketOrder now converts these orders so they fill at a real
daily open/close instead of the stale previous close:
- market closed (any resolution): MarketOnOpen, as before
- market open, daily-only subscription: MarketOnClose (today's close),
or MarketOnOpen (next open) when already within the MarketOnClose
submission buffer near the close
Assets with intraday data are left untouched, and the conversion is only
applied in backtesting; in live trading an open-market market order fills
at the real current price.
Adds DailyResolutionMarketOrderConversionRegressionAlgorithm covering the
MarketOnClose and MarketOnOpen conversion paths plus a minute resolution
asset that is correctly left as a regular market order.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* Minor fix
* Reword conversion warning: "current market price" instead of "real current price"
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* Update regression stats affected by daily market order conversion
Daily-resolution market orders placed intraday are now converted to
MarketOnClose/MarketOnOpen so they fill at a real daily open/close
instead of the stale previous close. This shifts the affected fills:
- IndexOptionCall{ITM,OTM}ExpiryDaily: the SPX option entry, placed one
minute after the open, now fills at the daily close. Same economics,
one extra data point and a new order list hash.
- AllShortableSymbols (C# + Python): an intraday order's type changed
from Market to a converted order; identical End Equity, new hash.
- ResolutionSwitchingAlgorithm sampling test: the RemoveSecurity
liquidation (fired at 15:50) previously filled at the stale previous
close; it now converts, shifting the equity/performance samples.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
* Revert expected data point count change
---------
Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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* Add 'asynchronous' parameter to trading api
* Add regression algorithms
* More fixes for asynchronous orders
* Fix failing unit tests
* Fix failing unit tests
* Add multiple orders requests in transaction handler
Make each transaction thread handle requests corresponding to the same order
* Refactor order state machine in BrokerageTransactionHandler
Now using a single dictionary to hold orders and their state, either pending for submission, open or closed.
* Revert: remove complete orders from new state machine in BTH
* Add order ticket to new BTH open orders state machine
* Run syn in Backtesting transaction handler for new orders submission
* Remove OpenOrderState.SubmissionPending property
* Add Security to OpenOrderState
* Minor fix
* Cleanup
* Some cleanup in BTH
* Cleanup
* Minor fix
* Minor unit test fix
* Minor fix
* Make Brokerage.ConcurrencyEnable property virtual
* Minor change
* Cleanup
* Add 'asynchronous' parameter to SetHoldings api
* Improve regression algorithms
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* Changed default async to true and passed target.Tag
* Make execution models place orders asynchronously if specified
* Add unit tests
* Execution model default to asynchronous orders.
Also, minor fixes for tickets remaining fill quantity potential race conditions
* Add SecurityHolding.UnrealizedQuantity property
It gets the holding quantity the security will have once all open orders are filled.
Added for thread safety reasons when execution models place asynchronous orders and need to calculate the actual quantity needed to reach the target of there are open orders
* Some cleanup
* Adjust projected holdings quantity on splits
* Minor fix
* More changes and cleanup
* Minor fix
* Improvements for thread safety
* Add IOrderProvider.GetProjectedHoldings to get projected holdings atomically
* Minor unit tests fix
* Add ProjectedHoldings DTO class
* Address peer review
---------
Co-authored-by: arthiondaena <arthiondaena@gmail.com>
* feat: support MOO in CharlesSchwabBrokerageModel
* feat: validate IsMarketOpen with MOO order type in PreOrderChecks
* test:feat: Validate MOO in various Market hours time
* fix: Algo with new MOO time validation
* test:fix: set DateTime of Algo explicitly in OrderQuantityConversionTest
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* Refactor SetHoldings to return a List<OrderTicket>
* Add expectedQuantities to the testCases
* Update regression tests
* Update name of regressionAlgorithm
* Address review comments
* Update unit test
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* Create regression tests and refactor liquidation logic
- Implemented regression tests for order creation and liquidation
scenarios
- Removed LiquidateExistingHoldings method
- Replaced LiquidateExistingHoldings with the general Liquidate method
* Addressed review comments
* Addressed new comments review
* Update default value for 'tag'
* Update ExpectedStatistics
* Identify and liquidate portfolio symbols not included in targets
* Create a new regression test
* Fix minor comments
* Move regression tests to the correct folder
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* First draft of the solution
* First draft of the tests
* Nit changes
* Nit change
* Add improvements
* Improve unit tests
* Regression algos
* Nit change
* Nit changes
* Improve unit tests
* Improve unit test
* Nit change
* Address reviews
* Add trailing stop orders base implementation
* Handle trailing stop order prices rounding
* Implement trailing stop orders fill logic
* Minor fill model changes
* Add ApplySplit to fill model interface for models that might need to be aware of splits.
Filling trailing stop orders require keeping track of min/max prices, which need to be split adjusted.
* Add brokerage order updated event for communicating certain order types prices changes
* Add order update event args class for brokerage side order updates
* Revert IFillModel.ApplySplit
* Add trailing stop orders regression algorithm
* Updated order ticket demo algorithm to include trailing stop orders
* Some cleanup
* Support trailing stop orders in IB brokerage model
* Some cleanup
* Fix failing tests
* Fix failing regression algorithm
* Address peer review
* Add trailing stop price calculation unit tests
* Minor changes
* Minor change
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* Fix fill quantity using group order quantity for combo orders
* Add Order's ComboQuantity property
* Add Order's ComboDirection property
* Minor changes and regression algorithms update
* Minor changes
* Update algorithms stats
* Minor changes and regression algorithms update
* Store the full quantity for each combo order leg in Quantity property instead of the ratio
* Minor changes and regression algorithms update
* A few fixes after pair programming
* Handle grouping position reduction
---------
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Adds Regression Test
The new regression test asserts that the total trades is 2.
* Fixes Liquidate Existing Holdings Bug
Liquidate existing holdings before open new postions.
* Addresses Peer-Review
* Feature combo orders
- Add support for combo orders
* Make fill model wait for all grouped orders to emit fills
* Add ComboFill to model multiple fills for combo orders
* Fill combo limit orders
Add some regression algorithms
* Add fill implementation for combo leg limit orders
* Add IFill as common interface for Fill and ComboFill
* Refactor combo orders removing IGroupOrder interface
Move the group order manager to the base Order class
* Update algorithms
* Handle combo order events atomically
* Refactor brokerage transaction event handler
* Refactor combo fill models
* Process fills in batch
* Combo orders fill model tests
* Combo leg limit orders algorithm
* Regression algorithms cleanup
* Fill and combo fill classes cleanup
* Housekeeping
* Refactor equity fill model to derive from base fill model
* Address review changes request
* Handling the new types of orders in the OrderJsonConverter
* Add regression algorithm to test combo orders update/cancel
* Add regression algorithm to test combo orders update/cancel
* Housekeeping
* Address review changes request
* Minor changes
* Security transaction handler method for setting order request id
* Extend public interface for placing combo orders
* Combo order tickets demo algorithm python version
* Tweaks and updates
* Minor fixes
* Minor changes
* Minor fixes
* Address reviews minor fixes
* Minor fixes
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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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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* Allows Market-On-Close Orders Outside Buffer Period
Market-On-Close orders can be submitted before and after the buffer period from 15:45 to 16:00 (Tested with TWS) meaning that we can submit MOC when the market is closed and, consequently, use daily resolution data.
* Adds Regression Test with Extended Market Hours
- Removes `nextMarketClose > Time` condition since it's unnecessary. If the algorithm Time is greater than the close of that day, `nextMarektClose` refers to the next day.
* Updates Unit Test
Updates `OrderQuantityConversionTest` because the MOC orders are submitted. They are placed at 7 pm and invalid before this pull request.
* Updates Summary of new Regression Tests
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- Create SubmitOrderRequest method in algorithm API to reduce
duplication of code and responsability.
- Add order command tests for different failure and success cases
- Fix null reference exception in equity fill model, when there is no
data for an asset.
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* Remove suppport for market orders and MOO orders for futures
* Add regression algorithm to assert that limit orders are filled on after hours for futures
* Remove suppport for market orders and MOO orders for futures in DefaultBrokerageModel
* Update regression algorithms stats
* Fixed regression algorithm and clean up
* Add unit tests
* Fix regression algorithms
* Address changes request
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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
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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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* 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
* 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 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>
* 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
* 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
* Improve information tracked in regression's {algorithm}.{lang}.details.log
The details.log file aims at providing a diff-able document that quickly and
easily provides actionable information. Since many regression algorithms use
the algorithm's debug/error messaging facilities to log various pieces of algo
state. This document also support a configuration option: regression-high-fidelity-logging'
that logs EVERY piece of data, again, with the aim of providing an easily diff-able
documenbt to quickly highlight actionable information. I may have missed omse key
pieces of information here, but now that the entire QC knows about this regression
tool, if additional information is required then hopefully it's easy enough at this
point to extend the RegressionResultHandler to suit our needs.
The RegressionResultHandler was initially implemented to provide a concise log of
all orders. This was achieved by simply using the Order.ToString method. While
testing/investigating OptionExerciseOrder behavior, it became evident that more
information was required to properly identify the source of potential failures or
differences between previous regression test runs. This change adds logging for
almost every IResultHandler method and additionally attempts to capture the
actual portfolio impact of every OrderEvent. This is accomplished by logging
the portfolio's TotalPortfolioValue, Cash properties and the security's
SecurityHolding.Quantity property.
This change also standardizes the timestamps used to folloow the ISO-8601 format.
When using the RegressionResultHandler, it is highly recommeded to also disable
'forward-console-message' configuration option to ensure algorithm Debug/Error
message logging is done synchronously to ensure correct ordering with respect to
log messages via Log.Debug/Trace/Error.
* Fix typo in options OrderTests test case name
* Update SymbolRepresentation.GenerationOptionTickerOSI to extension method
Far more convenient as an extension method
* Improve R# default code formatting rules
Many of these rule changes focus on improving the readability of code,
with a particular emphasis on multi-line constructs, chained method calls
and multi-line method invocations/declarations.
* Add braces, use string interpolation and limit long lines
* Refactor OptionExerciseOrder.Quantity to indicate change in #contracts
For all other order types, the Order.Quantity indicates the change in the algorithm's
holdings upon order execution for the order's symbol. For OptionExerciseOrder, this
convention was broken. It appears as though only exercise was initially implemented,
in which case only long positions were supported and a code comment indicated that
only positive values of quantity were acceptable, indicating the number of contracts
to exercise. At a later date, assignment simulation was added and utilized a negative
order quantity. This caused some major inconsistencies in how models view exercise
orders compared to all other order types. This change brings OptionExerciseOrder.Quantity
into alignment with the other order types by making it represent the change in holdings
quantity upon order execution.
This change was originally going to be much larger, but in order to minimize risks and to
make for an easier review experience, the additional changes will be committed separately
and pushed in their own PR. Some of the issues identified include:
* Manual Exercise (especially for OTM) is not covered
* Margin Calculations (in particular taking into account opposing contracts held)
* IBrokerage.OptionPositionAssigned is raised for exercise (later filtered by tx handler)
Fixes OptionPortfolioModelTests to use exercise model to properly model exercise of
non-account quote currency option contract.
* SafeDecimalCast Throws Exception For Non-Finite Numbers
* Fixes Arithmetic Overflow Exception in QCAlgorithm.Trading Methods
Replace decimal cast for `SafeDecimalCast()`.
If the algorithm uses a non-finite number in QCAlgorithm trading methods, it will throw with an user-frieldly exception message.
* Fixes KellyCriterionProbabilityValue Calculation
JosueNina