Releases: DaveSkender/Stock.Indicators
Releases · DaveSkender/Stock.Indicators
1.22.4
Minor indicator update:
- add
candlePart
param option for WMA - #764
Special thanks to @Miguelgs25 for the recommendation
1.22.3
Minor indicator updates:
- improve PSAR: exclude warmup results when no reversal identified - #758
Chores:
- refactor remove redundant EMA + SMA overrides - #757
- add documentation and examples for custom indicators - #698
Special thanks to:
- @Salardx for identifying PSAR scenario
- @LeeDongGeon1996 for steadfast commitment to our Python wrapper
- @JefitCho for your patronage
1.22.2
1.22.1
Minor breaking change:
- rename library
Candle
class toCandleProperties
to reduce user friction - #739
Special thanks to:
- @M22arius494 and @endeffects for recommending this change
1.22.0
New indicators:
Updated indicators:
- added
PeriodSize.Month
option forquotes.Aggregate()
helper utility - #730 - added better validation for Pivot Points parameter validation - #723
Special thanks to:
- @SvenSkrabal for recommending Month quote aggregation
- @overstartup for inspiring PP validation
1.21.1
Minor indicator updates:
Special thanks to:
- @ooples for contributing ADX Rating
- @moslem7026 for recommending Heikin-Ashi re-usability improvements
1.21.0
- removed
BadQuotesException
- please review #685 - redesigned Marubozu (Preview) based on feedback - #683
Special thanks to:
- @Jammooly1 and @myalgomate for feedback on handling
BadQuotesException
- @jimtollan for feedback on Marubozu
1.20.2
Updated indicators:
- add 3rd support/resistance level to Standard Pivot Points - #671
Special thanks to:
- @myalgomate for contributing PP update
- @Marcusbaker1 for your patronage
1.20.1
Updated indicators:
Minor breaking change:
multiplier
parameter for Chandelier Exit was changed fromdecimal
todouble
Chores:
- refactoring internal methods for handling Quote types, resulting in measurable performance improvements
Special thanks to:
- @myalgomate for recommending Alligator parameterization
1.20.0
New indicators:
- performance tuning - #652 (see notes)
General performance tuning makes the library about 2x faster.
Numerous results properties and a few input parameters were changed fromdecimal
todouble
data types.
Special thanks to:
- @myalgomate for recommending SMI
- @Salardx for recommending VWMA