Miha Kralj bcb52ef5ec Add Close-to-Close Volatility (CCV) implementation and validation tests ...

- 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.

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..

channels

pine files

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core

volume indicators

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cycles

style patterns

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dynamics

pine files

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errors

Add Close-to-Close Volatility (CCV) implementation and validation tests

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feeds

volume indicators

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filters

pine files

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forecasts

style patterns

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momentum

pine files

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numerics

style patterns

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oscillators

pine files

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reversals

docs: update category index files and fix indicator implementations (#58)

2026-01-19 18:25:48 -08:00

statistics

pine files

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trends_FIR

pine files

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trends_IIR

pine files

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volatility

Add Close-to-Close Volatility (CCV) implementation and validation tests

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volume

volume category touchup

2026-01-31 11:21:09 -08:00

_index.md

volume category touchup

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Directory.Build.props

SIMD Refactor: Merge simd-dev into dev (#55)

2026-01-18 19:02:03 -08:00

quantalib.csproj

fix: remove symbols package, JetBrains.Annotations dep, target net10.0 only

2026-01-21 23:40:28 -08:00

QuanTAlib.Tests.csproj

SIMD Refactor: Merge simd-dev into dev (#55)

2026-01-18 19:02:03 -08:00