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* Add missing stablecoins
* Fix bugs
* Remove MIMUSD stablecoin pair
That pair is already in the SPDB
* Add more stablecoins pairs
- Add SUSD and IDRT
* Fix bug
* Requested changes
The algorithm posted in the GH was failing because when finding a conversion between currencies BTC to USD, it wasn't taking into account BTCUSDT and that USD = USDT because is a stablecoin
* Solve bugs
* Nit changes and more tests
* Requested changes
* Nit changes
* Requested changes
* Nit change
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* Added checking if algorithm is stopped in initialize method
* Quit on initialize adjusment
- Minor adjustments to solution. Adding more regression algorithms
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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- Fully reset the security cache when it's finally removed from the algorithm.
Adding regression algorithm reproducing issue
- Updating regression algorithms which would trade based on data
previously available
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* Warm up EmaCrossAlphaModel
Warm Up EmaCrossAlphaModel indicators
* Fix regression test bug
When using the default `EmaCrossAlphaModel()` the period of both indicators to be ready is bigger than the difference between the start date and the end date of the algorithm. Then, as the algorithm didn't warm up the data both indicators of EmaCrossAlpha never were ready, but now as the model warms up the data both indicators are ready so we get different statistics
* Requested change
* Fix unit tests
As there wasn't items in `AddedSecurities`, when trying to remove the items in ´RemovedSecurities´ there was nothing to remove because there was never a security in `_symbolDataBySymbol`. That's why, in order to test, the behavior of `EmaCrossAlphaModel` when removing a security we need to first add one to then remove it.
* Requested changes in Python
- Requested changes in Python
- Nit changes
* Nit change
* Requested Changes
* Add RemoveConsolidators() method in Python version
* add data count properties
* 'add history count property
* assert data counts
* update missing override
* consider override/virtual cases
* implement data count
* add message handler for regression tests
* use regression test message handler
* set algorithm manager for regression test message handler
* update data count
* check if stats are present, check if algo manager is not null
* update
* add c# algo
* make same as c# algo
* use new line
* logic shifted to RegressionTestMessageHandler
* cleanup
* auto cleanup
* skip non deterministic data count
* change data count
* use inheritance
* improve stats
* update couht
* add sma indicator to c# and customSMA to python
* call base method before executing further
* skip test
* revert to original
* add duplicate sma
* skip regression test
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* Make continuous futures untradable
- To match live trading behavior. Adjust continuous futures securities
to be untradable
* Set ContinuousFuture as non tradable
- Set continuous futures as non tradable. Update regression algorithms
- Fixes for symbol capacity calculation
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`WarmUpIndicator` for Python indicators doesn't return the indicator anymore after #6027. So all overloads should return `void`.
Fixes `SmaCrossUniverseSelectionAlgorithm` [C# and Py].
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* add gdax exchange info downloader
* add downloader method to program]
* fetch currency description
* change definition to include headers
* use extension method to make request
* remove log from test
* replace WebRequest
* cleanup
* use relevant name
* implement IExchangeInfoDownloader for bitfinex, initial commit
* add default values
* use default market value
* use correct attribute for lotsize
* don't skip missing values
* handle multiple downloaders
* add gdax and bitfinex exchange downloader
* follow LEAN data directory structure
* update SPDB
* order tickers
* order tickers
* add exchange info downloader test template
* delete files
* update SPDB
* use currency mapping
* update bitfinex symbols
* update currency mapping
* sort result after old currency symbols are used
* use market of the respective brokerage
* no more unknown symbol
* change minimum order size value
* direct conversion possible
* update bitfinex symbols
* change user-agent
* add test for indirect conversion
* update stats
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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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`CashBuyingPowerModel`, which reflected on `AlphaStreamBrokerageModel`, a margin-only brokerage.
It also didn't consider the account type, so `InteractiveBrokersBrokerageModel` was using the margin model even if `AccountType.Cash` was selected.
Removes `GetBuyingPowerModel` method from other Brokerage Models when their cases are covered by `DefaultBrokerageModel`
Fixes some typoes in `TradierBrokerageModel`
Fixes unit and regression tests. For the regression tests, we have explicitly set the brokerage model.
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- The BrokerTransactionHandler will also adjust virtual positions for
margin accounts when fees are in base currency and the asset is a
crypto or forex pair. Adding new regression tests reproducing issue
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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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* WIP
* Fix fees in base currency not being subtracted
- Fix fees in base currency not being subtracted from the quote currency
for crypto cash accounts. Updating regression tests to assert
portfolio, cashbook state and holdings state.
* Fix unit test race condition
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* Use GC server mode for tests
* Fix daily auxiliary data points emission time
- Due to fillforwarding, in some cases with daily resolution symbol
change events (generically any auxiliary data) would arrive late.
Updating regression test to reproduce the issue. Adding unit test
- Some refactoring and logging improvements
* Address reviews
* Remove old xml docs param
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* Refactor `GetFilePath()`
Add also useful methods to use with this one
* Nit changes
* Requested changes
* Requested changes
* Restore SaveString()
* Nit changes
* Address self review
* Test improvements
* Adjust example KerasNeuralNetworkAlgorithm
* Minor tweak for KerasNeuralNetworkAlgorithm.py
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
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* Binance fees deducted from fill quantity accordengly
- For Binance cash accounts while buying, if fees are from the base
currency of leans virtual position, we need to deduct the fee from the
fill quantity, else we can end with a position bigger that it actually
is and not be able to liquidate
* Refactor solution
- Refactor solution into a more generic approach solving fees in base
currency at the BrokerageTransactionHandler level, covering all
brokerages that require it. Adding regression algorithm reproducing
issue.
- Update Bitfinex and Binance fee models to correctly reflact reality
* Log fill quantity adjusment once
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- GetLastKnownPrices will no longer guess which resolution to use but
rely on other methods implementation/
- Updating basic template future algorithms to warmup contracts and
assert it
- Minor improvements for FunSecurityInitializer and FuncSecuritySeeder
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* add data
(cherry picked from commit 814011d89e5316d150f88ffca5f48d8d5f0ea7d9)
* update market hours for index
(cherry picked from commit edac40732c120eb84d27de00594b59eebb4983f5)
* add index algorithms
(cherry picked from commit b22d27b4fa98172c435f7c26de4a3a297c49a6b7)
* update statistics
* add cash
* Add india market
* add leverage for index
* can subscribe to index
* update format
* fix wrong cash
* fix ticker names
* update data
* update ticker and stats
* update docs
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- Zip entries will be sourced from cache provider
- Option underlying will use SubscriptionDataSource to fetch it's data.
Fixing bug where it would let through an old data point, or miss
sending data through.
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* Add india market data
* use local data for algo
* Add India market regression algo
* update india market data
* Update readme
* add python algo for BasicTemplateIndiaAlgorithm
* Add India data regression python algo
* data india data files
* update tickers
* Fix algo template
* remove data
* fix stats
* update stats
* remove unused data
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* Fix typo
* Fix TryGetValue to return false if key is not found
* Revert "Fix TryGetValue to return false if key is not found"
This reverts commit b85b7b579aa722e1fec2599afbeee61163334184.
* Update documentation for TryGetValue
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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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* Handle security added and removed in the same loop
- Correctly handle adding and removing a security in the same loop.
Adding regression test
* Adding comments
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- Fix for adding continuous future and manually adding contract at the
same time. Continuous future was using the user defined universe
symbol and caused clashes. Adding regression test reproducing the issue.
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* Continuous Futures Refactor. Live Mappings
- Adding support for live mappings. LiveTradingDataFeed will handle any
symbol mapping at the configuration layer and resubscribe through the
IDQH
- Refactoring continuous futures adding ContinuousFutureUniverse that
will select the currently mapped security
* Minor fixes
- Remove addition of configurations in UniverseSelection step, leave
resposability for universe.
- LiveTradingDF future unit test will only assert slice data for non
internal feeds.
- ContinuousContractUniverse will respect internal option interest
subscription
* Address review
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* Activate Index and IndexOptions low res
* Add Index and IndexOption low res data
* Add IndexOption regressions
* Fix bug with IndexOption QuoteBar data not being scaled
* nit - update comment for _scaleFactor
* Update data and regressions to reflect fix in data
* Tweak regressions
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* Fixes for FutureOptions support in LeanData
* Add CreateCanonicalOption() utility function for Symbol.cs
* Add aggregated Futures/FuturesOptions data to Lean
* Add FutureOptions regressions for daily/hourly data
* Allow Futures to be added with low resolution
* Add Future regressions using hour/daily data
* Nit - Python Class names
* Add reviews
* Add alias into CreateCanonicalOption
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* Move processing of delistings to Brokerage
* Deal with case that exchange is not open on OptionSymbol.ID.Date
* Refactor solution to use DelistingNotification event
* Adjust some regression expected liquidation time
* Mark some todos on deprecated functions
* Update expected liqudation time for Py regressions
* Update regressions that have been validated
* Use HandlePositionAssigned for assignment orders
* Update regressions
* Update some missed unit tests; remove one that is already covered by regression
* Cleanup deprecated backend functions
* nit - small cleanup adjustment
* Post rebase fix
* Address review
* Minor tweak to py regression
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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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- Add new CustomWeight PCM for alpha streams
- Add new AlphaStreams AlphaModule that will handle security additions
and removals, removing this logic from AlphaStreamsBasicTemplateAlgo
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* Create generic writing for LeanDataWriter, + notes on todos
* Make Options Daily/Hourly data store by year
* Refactor Generic Write
* Permit hour and daily resolutions for options
* Refactor writer to merge when needed with other files
* Cleanup redundancies, run write tasks in parallel
* Make needed classes/vars available
* Update tests to reflect new naming convention for daily hourly options data
* Add Byte[] overloads for ZipData functions in compression
* Implemented Store() for ZipDataCacheProvider
* Have LeanDataWriter use a DataCacheProvider
* ZipDataCacheProvider cleanup
* ZipDataCacheProvider tweaks, doesn't support storing non-zips
* Test adjustments
* Update LeanDataWriter to use Write instead of SaveDailyHourly/SaveMinuteSecond
* Implement tests to verify DownloadAndSave behavior
* Nit cleanup on DownloadAndSave tests
* Fix for options daily/hourly underlying equity subscription read
* Add daily/hourly options data and regressions
* Add missing open interest for hourly
* Fix writing of OpenInterest Daily/Hourly data
* Update data
* Fix Date typo in regression
* Use daily algorithm to test delisting
* Revisions part 1
* Expand test for DataCacheProviders; refactor DiskDataCacheProvider
* nit - test adjustments
* ZipDataCacheProvider test setup refactor
* Adjust multithreaded read/write test; fixes for ZipDataCacheProvider
* Move DiskDataCacheProvider to its own file and add write test
* Remove _appendToZips; always overwrite entry or create zip
* Add mapping regression for daily options
* nit - add license to regression
* Fix Tick write case where more than one data point for a DateTime
* Fix data issue
* Address review
* Tweaks for tests
* Stop Store() early if no entry name is given
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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
Ricardo Andrés Marino Rojas