mirror of
https://github.com/mihakralj/QuanTAlib.git
synced 2026-07-27 17:27:43 +00:00
Miha Kralj
bcb52ef5ec
- Implemented CCV class for calculating annualized log return volatility using SMA, EMA, and WMA smoothing methods. - Added comprehensive unit tests for CCV to validate mathematical correctness, consistency across methods, and edge cases. - Created documentation for CCV detailing its mathematical foundation, smoothing methods, and performance metrics.
33 lines
762 B
YAML
33 lines
762 B
YAML
# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json
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# CodeRabbit Configuration - QuanTAlib
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#
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# Reviews ONLY implementation .cs files (~196 files)
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# Auto-detects new indicators
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language: en-US
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reviews:
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request_changes_workflow: false
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high_level_summary: true
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high_level_summary_placeholder: "@coderabbitai summary"
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auto_title_placeholder: "@coderabbitai"
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review_status: true
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collapse_walkthrough: false
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path_filters:
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# INCLUDE: Only .cs files in lib/
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- "lib/**/*.cs"
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# EXCLUDE: Test files
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- "!**/*.Tests.cs"
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- "!**/*.Validation.Tests.cs"
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# EXCLUDE: Quantower adapters
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- "!**/*.Quantower.cs"
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# EXCLUDE: Build artifacts
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- "!**/obj/**"
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- "!**/bin/**"
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chat:
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auto_reply: true |