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* Add a temporary benchmark stats sample in live
Allow trades to be written to result file on first day of the deployment before the first daily sample is done
* Enable trades results streaming
* Minor changes
* Make Trade.Id a Guid
* Cleanup
* Sample temporary charts once per hour
* Minor change
* Minor fix
* Minor fix
* Minor fix
* Add fix for potential race condition
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* Minor chart improvements
- Add base series tooltip template. Adding unit tests
- Reduce null chart points to a single addition
* Add null values always
* Fixes & minor tweaks
* Serialize ChartPoint as array
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* Portfolio state chart
- Cleanup and renames
- Add series.IndexName. Uodating unit tests
- Add Chart.LegendDisabled. Adding new unit tests
- Add ChartPoint.Tooltip. Updating unit tests
- Minor compression tweak. Adding unit test
- Add ChartJsonConverter. Adding unit tests
* Minor chart serialization order tweak
* Refactor portfolio state sampling and storing
* Move PortfolioMargin into a lean side chart
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* Implement backtest self-naming and self-tagging
* Minor unit test fix
* Minor api changes
* Minor changes
* Send packet messages when algorithm's name or tags are updated
* Minor fixes
* Address peer review
* Backtest name and tags API calls
Plus, first version of CI for API tests
* Add endpoint to update a backtest set of tags
* Minor GH actions change
* Address peer review
* Add algorithm naming and tagging unit tests
* Minor backtest API changes
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* Plotting Limits Handling Improvements
- Improve the handling and enforcement of plotting limits
- Increase local default limits
* Minor plotting test fix
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* Candlestick charts base implementation
* Series and Candlestick series json serialization
* Some cleanup
* Add AddPlot method for candlestick series to QCAlgorithm
* Remove Values property from ISeriesPoint
* Add candlestick QCAlgorithm.Plot trade bar methods
* Implement candlestick series re-sampling
* Add more SeriesSampler unit tests
* Add examples of candlestick charts usage to exisiting charting algorithm
* Address peer review
* Address peer review
* Derive Candlestick from Bar
* Sampler changes
* Add new series types from the cloud
* Add more candlestick series sampler tests
* Minor cleanup
* Minor changes
* Make statistics available at runtime to algorithms
* Re-calculate statistics on every call
* Housekeeping
* Add regression algorithms
* Address peer review
* Support for custom summary statistics at runtime
* Minor changes
* Address peer review
* Address peer review
* Minor changes
* Minor changes
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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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* add state to backtesting result packets
* self review
* add state in live results
* set runtime error in algorithm
* set hostname in job packets
* Set state when algorithm is null
* address review
* address reviews
* set runtime error when algorithm is not available during runtime
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* Fix backtest progress calculation
* Backtest progress monitor class
* Minor changes
* Lazy calculating the processed days count
* Minor changes
* Minor changes
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* Add algorithm settings to backtest results
* Use algorithm result settings in report generation
* Add unit tests
* Housekeeping
* Changes for live result report
* Housekeeping
* Housekeeping
* Housekeeping
* Add unit tests
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* Minor improvements
- Avoid division by zero error in backtesting result handler. Race
condition where the SetAlgorithm implementation would still be running
and we try to loop through the update method
- Improvement nullreference exception message
- Cleanup resolution to timespan extension method
* Address reviews
- Cleanup data config fill forward conditional statement for tick
resolution
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* Warmup minor fixes
- Result handler fix
- Centralize and normalize status update during warmup
* Address reviews
* Minor adjustments
* Add console message during warmup period
* Fix warmup percentage update
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* Implement scheduled event sampling solution
* Use UTC time, only update daily portfolio value once a day
* For daily resolutions sample chart always
* Cleanup
* Drop resample daily all together
* Force final sample
* Regression updates
* FIx LiveResultHandler to update portfolio and benchmark values outside of sampling event
* Name the daily sampling event
* Address review pt 1
* Drop force and use reference wrapper
* Adjust tests
* Fix warning for Benchmark Timezone Misalignment and also add test
* Fix for daily resolution orders and test adjustments
* Also warn on universe settings with daily resolution
* Update missed regression
* Fix reference wrapper use
* Update regression after rebase
* Add values back in for Daylight Algo
* Have statistics builder skip day 1 performance
* Regression adjustments
* Test adjustments
* Update regression unit test
* Adjust some regressions starts to show performance values
* Add hourly algorithm for beta comparison
* Address missing Python regression changes
* Remove null comment
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* Improve python exception parsing
- Improve python exception parsing adding support for line shift. Adding
unit tests
* PythonException revert change
* Centralized and normalize algorithm runtime handling
* Adding support for C# line and file exception report
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* Update charts that are not empty and not default values
* Testing
* Filter final results
* Explicitly filter alpha charts if not needed
* Use filtered charts for Live results handler
* Refactor solution to manage alpha charts internally by creator
* nit comment fixes
* Implement drawdown as default chart
* Implement Capacity Estimate for backtest default chart
* Add default values to QC.Plotting
* Adjust drawdown calculation
* Only sample "Capacity" once a day
* Implement Volume chart
* Nit fixes
* Volume Chart adjustments and fixes
* Rename to "Assets Sales Volume"
* Implement Exposure Sampling
* Store algorithm currency symbol, round capacity to nearest 1k
* Add new plots to default charts
* nit change name
* Address reviews
* Reduce duplication and clean up exposure sampling
* Address reviews
* Improve sample exposure
* Address review
* Only enumerate holdings once
* nit - comments
* Post rebase fix
* Don't need to round anymore
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* Add IResultHandler.BrokerageMessage
- Result handlers can receive notifications for brokerage message events
* Make LiveTradingResultHandler.RuntimeError virtual
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* Add property for capacity. Remove unused variable
* Move SymbolCapacity and CapacityEstimate to common, passed through Symbol to runtime statistics
* Add null checks
* Remove uninvested and untradable assets from capacty calculations
* Add SymbolCapacity influential period
* Updates Regression Tests
- DelistingEventsAlgorithm
- Allows additional contributions from delisted AAA.1
- DelistingFutureOptionRegressionAlgorithm
- Removes DC01H12 contributions one month later
- FutureOptionBuySellCallIntradayRegressionAlgorithm
- Allows additional contributions from future after expiry replacing the contribution of the next contract option
- DelistedFutureLiquidateRegressionAlgorithm
- FutureOptionCallITMExpiryRegressionAlgorithm
- FutureOptionCallITMGreeksExpiryRegressionAlgorithm
- FutureOptionPutITMExpiryRegressionAlgorithm
- FutureOptionShortCallITMExpiryRegressionAlgorithm
- FutureOptionShortPutITMExpiryRegressionAlgorithm
- FuturesAndFuturesOptionsExpiryTimeAndLiquidationRegressionAlgorithm
- Allows additional contributions from future after expiry
- FutureOptionCallOTMExpiryRegressionAlgorithm
- FutureOptionPutOTMExpiryRegressionAlgorithm
- FutureOptionShortPutOTMExpiryRegressionAlgorithm
- IndexOptionCallITMGreeksExpiryRegressionAlgorithm
- IndexOptionCallOTMExpiryRegressionAlgorithm
- IndexOptionShortCallOTMExpiryRegressionAlgorithm
- Allows additional contributions from option after expiry
- MACDTrendAlgorithm
- Removes contribution when SPY is not invested for over one month
- UniverseSelectionRegressionAlgorithm
- Allows additional contributions from delisted GOOAV replacing GOOG (new symbols)
* Adds Lowest Capacity Asset to Regression Tests
* Normalize expected value -0, because -0 is also written to file if updated
* Write Symbol.Value for lowestCapacitySymbol or empty string for empty Symbol
* Update Regressions
* Update 'Lowest Capacity Asset' to Symbol.ID
Co-authored-by: Jared Broad <jaredbroad@gmail.com>
Co-authored-by: Martin-Molinero <martin@quantconnect.com>
Co-authored-by: Colton Sellers <Colton.R.Sellers@gmail.com>
* Adds CapacityEstimate and SymbolCapacity
The capacity estimation has been moved from
the report generator and wired directly into
Lean via the ResultHandler. In addition,
the capacity estimation strategy has changed
to account for errors in the previous iteration
of the capacity estimation.
Many many thanks to Jared for being much of the
mastermind behind this project. It would have
been harder to complete without him to bounce ideas
off of.
* Moves old tests to regression algorithms
* Adds Estimated Capacity statistic
* Removes old capacity estimation tests
Final report capacity estimation. Pushing to save state
* Fixes bugs, cleans up code and adds comments
* Adds forced sampling to Capacity Estimation
* Misc. bug fixes for daily data
* Updates capacity test cases' Estimated Strategy Capacity statistic
* Adds Capacity Estimate to all regression algorithms
* Removes Report's StrategyCapacity class and fixes bug in tests
* Adds null check in BacktestingResultHandler to fix
BacktestingTransactionHandler failing tests
* Deletes old capacity estimation classes
* Retrieve capacity estimates from backtest statistics results
instead of calculating at runtime
* Make $0.00 capacity return as "-" and Result = 0 in report
* Adds capacity to runtime statistics
* Converts capacity to number denoted by financial figures in RuntimeStats
* Addresses review: code cleanup for Capacity and adds comments to regression tests
- Adding optimization Id to backtests packets
- SeriesSampler will allow truncating the samples
- Removing OptimizationEstimate, simplifying getting estimate and
runtime stats separatly
* Bump time by one tick in adding subscription
* Adjust regressions
* Change removal to immediate
* Use series.AddPoint instead of directly adding it
* Adjust regression
* Add checks for fixed behavior in regressions
* Address review
* initial commit
* run parametrized algorithm with command line parameters
* skeleton: top level structure
* OptimizationNodePacket scheme
* pass parameters as HashSet
* run Lean and read results
* call method on optimization completion
* refactor public interfaces
- close ParameterSet collection; allow only get operations
- explicit method to start LeanOptimizer
* synchronize RunLean method; the result could come in before the backtest id is set in the collections
* another portion of refactoring and interface changes
* comments
* comments & tests for Extremum, Minimization and Maximization classes
* unify optimization paramater values (min, max, step) & mode GridSearch tests
- swap min&max if necessary
- iterate left => right (negate step value if necessary) & provide default step value if step == 0
- no StackOverflow Exception
- parameterSet Id should be global for current generator and retain between steps
- test signle point boundary (min == max)
* BruteForceStrategy tests
* more comments
* Update Optimizer assembly information
- Update Optimizer projects assembly information to match behavior of
the other projects
* Tweaks
- Adding comments
- Replace OnComplete for Ended event
- Replace Abort for Dispose
- ConsoleLeanOptimizer will keep track of running processes
- Each backtest will store results in a separated directory, so they
don't fight for the log.txt file.
- Adding cmdline option for lean to close automatically
- Adding concurrent execution backtest limit
- Console optimizer will start Lean minimized
- Escape spaces in Json path
* remove parameter set generator abstraction layer
we don't need this flexibility now.
* refactor public methods; Step shouldn't be public
* constraints: wip
* define contract
* comparison operators and tests
* specify JsonProperty values
* Move SafeMultiply100 to extensions
* Throw exception on failed Optimizer.Start
* constraints: wip
* change finish & dispose process
* minor fixes
- handle force lean abort
- notify consumer if target has been reached
* target & constraints; adapt unit tests
* Minor Tweaks and fixes
- Some logging improvements
- Remove Public since not required
* Ignore empty ParameterValue
* simplify condition
* avoid reinitialization
* reduce type; force immutable
* unit tests for constraints and target value
* parse & normalize percent values, i.e. 20% => 0.2
* fixup
* Target & Constraint & OptimizationNodePacket unit tests
* Add more json unit tests
- Adding more json conversion unit tests. Fix bug for Extremum which
wasn't using the converter.
* LeanOptimizer tests
* Estimation results
* User thread safe counters
* LeanOptimizer unit tests; push OptimizationResult on Ended event
* more unit tests
* Minor tweaks
-Estimate ToString in a single line.
-Typos and missing header file
* Add base SendUpdate method
- Add base SendUpdate method for LeanOptimizer
* fix LeanOptimizer test; rely on internal Update rather than timer
* Add OptimizationStatus
- Add missing commments and OptimizationStatus
* EulerSearch implementation: wip
* OptimizationParameter custom converter
* change the type
* make step optional
* change folder structure
* enumerate optimization parameter using IEnumerable & IEnumerator
* unit tests: parameters & objectives
* unit tests: strategies
* remove redundant TODO
* change Euler search boundaries
* more Euler tests
* prevent race condition
* Add account/read endpoint
- Adding account/read endpoint. Adding unit test
* Add status check before running lean
* Minor self review
- Adding missing comments, minor changes
* remove array parameters
* minor changes
- tidy up config file, rename variable
- accept min less or equal than max
* move OptimizationParameter methods to strategies
* Minor improvements for BaseResultHandler derivates
* minor changes
- strict requirements for Step and MinStep values
- strategy specific settigs
* Add TotalRuntime to estimate
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* Reenable extended market hours sampling
- Will re enable extended market hours sampling using the last benchmark
and portfolio value when user exchange were open.
* Add unit test minor tweak
- Improve shutdown latency.
- Setting portfolio initial value
- Adding unit test asserting sample behavior.
* 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.
* Add internal subscription manager
- Add InternalSubscriptionManager that will handle internal
Subscription. Replaces the realtime updates
- Fix thread race condition in the TimeTriggeredUniverseSubscription, we
have one thread injecting data points, the main algorithm thread, and
the base exchange is pulling from it
- Fixes for FakeDataQueue
- Adding unit tests
* Address reviews and fixes
- Internal subscription will use extended market hours
- Only sample charts accordingly
- Get api-url once
- Refactor ZipDataCacheProvider to avoid value types thread issues, it
will now use a timer. Add missing dispose calls.
- Synchronizer won't share the `SubscriptionFrontierTimeProvider`
instance since it's not thread safe and shouldn't be called
- Fix BacktestingResultHandler `_daysProcessed` thread safety
- Fixing `RealTimeScheduleEventService` thread safety
Jhonathan Abreu