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* Initial solution
* Update unit test
* Explicit conversion if T is IndicatorDataPoint
* Solve review comments
* Add override tests for Beta and Alpha
* Refactor and update unit test suite
* Create unit test for OptionIndicators
* Resolve review comments
* Resolve new review comments
* Add a new default selector
* Fix IndicatorHistory api for options indicators
Fix for indicators based on OptionIndicatorBase to be able to use IndicatorHistory api. They require proper conversion of indicators from PyObjects
* Fix WarmupIndicator to support multi symbol indicators in Python
* Minor fix for WarmUpIndicator api
* Refactored switch statements for indicator conversion
* Solve comments review
* Refactored WarmUpIndicator to remove duplicated code
* Resolve review comments
---------
Co-authored-by: Jhonathan Abreu <jdabreu25@gmail.com>
* Add DualSymbolIndicator unit tests
* Introduce MultiSymbolIndicator for indicators working on multiple symbols
Use the new class as base for DualSymbolIndicator and OptionIndicatorBase.
The OptionIndicatorBase can now detect when ready even if underlying and options market close is different when resolution is daily.
* Accept any BaseData for options indicators
* Improve indicator conversion from python on registration
Also minor fixes
* Cleanup and simplification
* Fix ImpliedVolatility IsReady flag
* Update regression algorithm history count
AutomaticIndicatorWarmupOptionIndicatorsMirrorContractsRegressionAlgorithm history count decreased because options indicators period is now 1 instead of 2
* Address peer review
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* Implement Squeeze Momentum Indicator
* Create unit test for SqueezeMomentum Indicator
* Update QCAlgorithm with SqueezeMomentum indicator
* Resolved review comments
* Switched to using Keltner indicator instead of manual calculation
* Refactor Squeeze Momentum indicator
- Make the Bollinger Bands and Keltner Channels indicators public.
- In IndicatorBase -> Update, if T is IndicatorDataPoint, then create a new
IndicatorDataPoint.
* Fix issue with regression tests
* Fix unit test
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* Implement Hurst Exponent indicator and unit test
- Implemented Hurst Exponent indicator class
- Created unit tests to validate indicator functionality
- Added helper methods for standard deviation and regression line slope
* Optimize Hurst Exponent calculation
- Removed redundat loops and unnecessary operations.
- Precomputed values fro time lag logarithms to avoid recalculation.
- Simplified logic in ComputeNextValue for better performance.
- Updated and clarified comments for improved readability.
* Refactor HurstExponent indicator
- Made _sumX and _sumX2 fields readonly.
- Updated loop for calculating time lag differences to avoid out of
bound.
- Renamed lookbackPeriod with period.
- Replaced DateTime.Now with a fixed date.
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* Initial implementation of MAMA indicator and tests
* Implemented Mesa Adaptive Moving Average (MAMA) indicator
- Implemented the MAMA indicator.
- Created methods with overloads to support custom and default
fastLimit/slowLimit
- Included necessary logic to calculate the mesa adaptive moving average
based on John's formula.
- Created unit tests to validate MAMA's behaviour.
* Refactor Mesa Adaptive Moving Average(MAMA)
- Separated the logic into smaller functions for better maintainability.
- Improved variable names to reflec their purpose.
- Updated comments to reflect changes and improve readability.
- Consolidated MAMA method overlaod by using default parameters values.
* Refactor variables and update method parameters
- Renamed variables for better clarity.
- Updated method to use 'IBaseDataBar' instead of 'TradeBar'
- Used 'MAMA({fastLimit}, {slowLimit}) instead of just 'MAMA'
- Addressed bug causing mismatch between types of correlations.
- Updated C method to include CorrelationType.
- Created regression test to ensure proper validation.
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* Add Connors Relative Strength Index(CRSI) Indicator
- Implemented CRSI combining RSI, Streak RSI, and ROC
- Added unit tests for CRSI calculation to ensure correctness and
reliability.
- Inclued the spy_crsi.csv file for testing purposes and validation of
CRSI logic.
* Refactor CRSI indicator
- Updated the CRSI logic to use Percent Change of Daily Returns instead
of ROC.
- Modified the ConnorsRelativeStrengthIndex class:
- Updated ComputeNextValue to calculate daily returns and relative
magnitude
- Improved documentation and comments
* Refactor CRSI Indicator:
- Refactored the method that updated the trend streak based on price
changes.
- Created a new method ComputeTrendStreak.
- Added check for null or 0 value in _previousInput.
* Fix comments from code review
- Add _ to priceChangeRatios
- Move _srsi.Update() to the top to avoid duplication
* Add Average Daily Range indicator and tests
- Implemented AverageDailyRange indicator
- The indicator uses a Simple Moving Average (SMA)
- Created unit tests for the indicator
- Includes example input data and test file (spy_adr.csv)
* Refactor AverageDailyRange Indicator
- Renamed AverageDailyRange to AverageRage for a more generic approach
- Replaced explicit types with 'var'
- Updated method name in test cases
- Placed AR method in the correct alphabetical order
* Solving minor issues with AR indicator
- Replace TradeBar with IBaseDataBar
- Remove unnecessary override methods
* Implement Premier Stochastic Oscillator (PSO)
- Added PremierStochasticOscillator class with two Exponential Moving
Averages (_ema1 and _ema2) for double smoothing.
- Implemented PSO computation:
- Normalized Stochastic (nsk) = 0.1 * (Fast%K - 50)
- Double-smoothed Normalized Stochastic
- Added XML documentation for public methods and key calculations.
This commit introduces a new indicator.
* Add license header and adjust spacing
* Refactor Premier Stochastic Oscillator (PSO)
- Renamed smoothing variables for clarity
- Integrated PSO logic directly in ComputeNextValue
- Used IndicatorExtensions for streamlined EMA chaining
- Updated tests to match refactored logic
* Refactor PSO
- Changed "STO" to "PSO"
- Removed unused imports
- Updated private fields
- Minor code cleanup
* 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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* Initial options universe with greeks implementation
* Options universe improvements
* Address peer review
* File based options universe fixes and improvements.
- Adjust OptionUniverse start-end times and period.
- Adapt unit tests and some algorithms to pass with new options universe selection.
* Updated options regression algorithms stats for new universe data
* Updated options regression algorithms stats for new universe data
* Updated options regression algorithms stats for new universe data
* Updated options regression algorithms stats for new universe data
* Updated options regression algorithms stats for new universe data
* Option chain provider with new options universe
* Allow canonical option history requests
* Address peer review
* Address peer review
* Fix symbols parsing in OptionUniverse
* Fix universe selection subscriptions start time to not include extended market hours
* Minor changes
* Minor changes
* Peer recommended changes and fixes
* Update regression algorithm stats
* Update regression algorithms stats and minor fixes
* Fix option chain provider history request
* Round option indicators values
* Added option universe csv header property
* Update regression algorithms stats
* Update regression algorithms stats
* Data fixes and regression algos stats update
* Unit test fixes
* Minor changes
* Option chain handling in live trading data feed
* Minor changes
* Added processed data provider
* Fix thread-safety violation in Slice class
* Minor change
* Update options filter universe API to use OptionUniverse data
Add new filter methods for greeks, IV and open interest
* Option filter universe api updates
* Add OptionUniverse history regression algorithms
* Add regression algorithms for new options filter universe api methods
* Added options greeks data and updated regression algorithms
* Address peer review
* Address peer review
* Add more assertions to new options filter api regression algorithms
* Minor performance improvement.
Reduce greeks binomial model steps to 140
* Minor tests updates
* Greeks numerical models performance improvements
* Greeks numerical models performance improvements
* Revert array pool change for option pricing numerical models
* Update default dividend yield provider depending on option type
* [TEST]
* Add helper method con calculate time till expiration
* Use double in price option numerical models
* Implied volatility calculation improvements
- Adjust root finding method accuracy as a factor of the option price
- Use BSM to get a first guess
* Cleanup
* Some regression algorithms and unit tests cleanup
* Regression tests updates after rebasing from master
* Add universe files
* Self review and cleanup
* Minor regression tests updates after rebase
* Fix: set data time zone to same as exchange tz for options universes
* Minor change
* Minor change
* Fix for live trading options universe selection
* Keep underlying when aggregating collections in BaseDataCollectionAggregatorEnumerator
* Update index options regression algorithms stats
* Minor change
* Address peer review
* Memory usage improvements
* Minor build fix
* Minor changes and test fixes
* Cache symbols in OptionUniverse
* Cleanup
* Fix index option creation in OptionUniverse
* Use cached underlying SID when parsing from string
* Abstract symbols cache to BaseDataCollection
* Return actual underlying symbol when mapping decomposing ICO ticker
* Address peer review
* Minor performance improvements reduce garbage
* Limit Symbols and SIDs cache size to help with memory usage
* Minor fix in symbols and sid cache cleanup
* Build fix
* Lazily parse greeks on individual access
* Cleanup and tests
* Address peer review
* Minor greeks fix
---------
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
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* Minor indicator history fix
- Take into account warmup period when used, the last bar of the warmup
period is counted as a data point.
- Fix bug where in some cases the last data point could of been missed
and the indicator not updated with it
* Minor tweak
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* Implemented the vortex indicator.
* changed the vortex.cs calculations
* chore: Refactor VortexTests.cs and QCAlgorithm.Indicators.cs
* Refactor VortexTests.cs
* made changes according to the comments
* used indicator exxtension methods
* made changes in the naming convention and added condition for division by zero.
* Using composite indicators to clean up
---------
Co-authored-by: Jhonathan Abreu <jdabreu25@gmail.com>
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* Default daily precise end times
- Enable by default daily precise end times. Updating stats
- Minor fix for algorithm manager consolidator updates, adding new regression test
asserting behavior and updating others
- Minor fix for SubscriptionData creator avoid round down on warmup if
not appropiate
- Adjust consolidators to emit on daily strict end times if requested
daily resolution and setting enabled
- Updating regression algorithms
* Skip daily data on extended market hours
* Some cleanup and self review
* Revert unrequired change
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* First draft of the solution
* Reduce duplication and add more properties
* Add regression tests
* Add xml docs
* Add unit tests
* Improve regression and unit tests
* Address requested changes
* Address request and improve unit tests
* Add unit test and fix bug
* Improve unit tests and implementation
* Nit change
* Address reviews
* Improve regression tests
* Address requests
* Fix bug
* Address requests
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* Implements ChandeKrollStop
* readonly
* Move IsReady/WarmUpPeriod above the constructors
* remove private _period
* minor
* rename Stops to Short/Long
* using Maximum/Minimum
* fix tests
* rename some variables and use movingAverageType for ATR
* movingAverageType
* Set best recommended model based on option style.
The best option model will be used in options indicators based on option style if not specified
* Reduced Greeks/IV numerical models steps to 100
* Minor fixes
* Minor changes and improvements
* Changed default pricing model for IV
* Minor performance improvements
* Minor performance improvements and fixes
* Minor change
* Minor regression algorithm fix
* Update greek indicators internal IV indicator only when not user provided
* Revert unnecessary changes
* Minor changes
* Cleanup
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* implement Rogers-Satchell volatility
* naming RSVolat to avoid confusion between volume and volatility
* fix InitializeIndicator call
* fix AcceptsRenkoBarsAsInput test
* add symbol parameter to InitializeIndicator
* Update RogersSatchellVolatility.cs
* some fixes after review
* Return 0 when Open High Low or Close is 0
* IBaseDataBar
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* tests passing except ResetProperly and WarmsUpProperly
* doc
* minor fixes
* doc - return
* fix InitializeIndicator call
* workaround ResetsProperly
* fix WarmsUpProperly test
* remove WriteLine
* remove WriteLine
* cr
* fix data
* open high low defaults to close when these columns don't exist into data
* simplify using ternary operator
* better fix for ResetsProperly
* fix some code conventions issues
* fix some review issues
* Update StochasticRelativeStrengthIndex.cs
* WIP
* All tests are passing except AcceptsRenkoBarsAsInput
* Update QuantConnect.Tests.csproj
* comment formating and use input.EndTime
* fix AcceptsRenkoBarsAsInput test
* fix InitializeIndicator call
* add symbol parameter to InitializeIndicator
* FI above FISH
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* Improve indicator warmup
- Allow indicator warmup to handle multiple symbols, used for option
greeks. Adding regression test
- Improve indicator history to handle specific T types. Adding unit test
- Remove period, and historical underlying volatility, from IV so
simplify warmup behavior
* Address review, fix minor issues
* Implement new indicator IBS
* remove using System
* typo
* doc fix
* Implement new indicator IBS
* remove using System
* typo
* doc fix
* inherit TradeBarIndicator and return 1m when High=Low
* duplicate spy_with_ibs
* returns 0.5 when High=Low
* Minor fix for Mis-Aligned Timestamps from IndicatorHistory
- Minor fir for mis-Aligned Timestamps from IndicatorHistory. Adjusting
unit test to reproduce issue.
* Add another assert to indicator history tests
* Minor fixes for IndicatorHistory and IV
- Minor fix for IndicatorHistory, use ScaledRaw data normalization mode
for option indicators. Adding unit test
- Expand the IV expected upper range to 400%, given values can be higher
than previous value of 200%
- Adjust IV to use smoothing function only when both option calculations
succeed
* Updating regression algorithm expected greeks, minor change
* Implement new indicator ZLEMA
* Add script to generate reference data from talipp
* Some review fixes
* description
* use isReady
* use Delay(...)
* simplify ComputeNextValue
* Minor tweaks addressing review
* replace DateTime.UtcNow for specific date time instances
* remove unused imports
---------
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* Add indicator helper methods for base Algorithm
- Add indicator helper methods for base algorithm. Adding new unit tests
* Expand indicators helper methods
- Expand indicators helper methods, adding support for C# and custom
indicators too. Adding unit tests
- Expand indicators helper methods to support multiple symbols as input.
Adding unit tests
- Improve conversion of symbol enumerable from python to C# adding unit
tests
* Address reviews
- Keep old QB.Indicator methods for backwards compatibility
- Rename new API to IndicatorHistory, matching
FutureHistory/OptionHistory
- Add new regression algorithms
- Minor improvement to DynamicData so it supports snake name access
The second and third parameter are `fastPeriod` and `slowPeriod`, but we had `slowPeriod` and `fastPeriod`, which is inconsistent with the class contructor and other indicators with `fastPeriod` and `slowPeriod` parameters.
* Initial boilerplate code
* Fix build failure
* Initial iteration for the code for Derivative Oscillator code
* Add foundation for unit tests
* Add reset method for test
* Add test case
* fixed test cases, all tests pass
* Put placeholder for IsReady change
Not implemented, as test cases fail when change is uncommented
* Update documentation and change class name
* Change names for Derivative Oscillator to more meaningful
* Add DO extension to create the indicator
* Provide variable definitions with var, replace old test file with new
* Use chaining for indicators creation
* Add test based on external data
* Change test file
* Fix WarmUp test + alphabetical order + rename indicator class
* Make all tests run except for external data tests
* Fixed warmup period and fixed the ResetsProperly test case
* Removed unused directives
* Add output directory for Derivative Oscillator test
* Minor tweaks
---------
Co-authored-by: HaentjeGH <l.m.j.haenen@student.tue.nl>
Co-authored-by: ivkozlov <ivkozlov@ozon.ru>
Co-authored-by: DanielVanRijswijk <d.j.v.Rijswijk@student.tue.nl>
Co-authored-by: Martin Molinero <martin.molinero1@gmail.com>
* Allow mirror contract and smoothing IV
* Python wrapper on smoothing IV
* helper method update
* Add forward tree model
* modify and add unit tests and data
* address peer review
* address peer review
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* Implement VaR in PortfolioStatistics
* Added ValueAtRisk indicator
* Refactored ValueAtRiskTests
* Added returns column to test data
* Change indicator helper method name
* Addressed comments
* Chande Variable Index Dynamic Average (VIDYA) Indicator
* Improvements
* Improvements
* Final Changes
* Editted, Retested
* Comments
* Minor Corrections
* Updated Datetime Format of test data to US Standards
---------
Co-authored-by: Pronoy Chowdhury <rokstarr.dbz@outlook.com>
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* Add IV indicator
* Fix bug
* Add QCAlgorithm helper method
* Add unit tests
* Add OptionPricingModelType, as option for greeks & IV estimation
* Nit, and fix bug
* Address peer review
* Fix bug
* Fix bug on CRR
* Ensure test indicator initiate correctly
* Address 2nd review
* Check for FOPs and index options as well
* Add comparison with QuantLib
* CRR not follow BSM
* minor bug fix
JosueNina