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📝 docs(tsl): complete and lint codegen reference

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2026-07-07 16:46:51 +08:00
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docs/tsl/codegen/dotnet/sector/sector_eval.md
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# 板块 / 板块评估
### `bkAlpha(index_id, beg_t, end_t, right_type)`
## `Bk_Alpha(index_id, beg_t, end_t, right_type)`
板块Alpha
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返回：float
### `bkAppraisalRatio(index_id, beg_t, end_t, right_type)`
## `Bk_AppraisalRatio(index_id, beg_t, end_t, right_type)`
板块指定日估价比率，当前板块通过setsysparam(pn_bk(),bkname)进行设置，其中bkname为当前板块名称。
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返回：string
### `bkBeta(index_id, beg_t, end_t, right_type)`
## `Bk_Beta(index_id, beg_t, end_t, right_type)`
板块Beta
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返回：float
### `bkCorrelation(index_id, beg_t, end_t, right_type)`
## `Bk_Correlation(index_id, beg_t, end_t, right_type)`
板块与指数的相关系数
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返回：float
### `bkJensenMeasure(index_id, beg_t, end_t, right_type)`
## `Bk_JensenMeasure(index_id, beg_t, end_t, right_type)`
板块Jense指数
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返回：float
### `bkMeasure(index_id, beg_t, end_t, right_type, rf)`
## `Bk_Measure(index_id, beg_t, end_t, right_type, rf)`
板块评估，计算板块平均涨幅、Alpha、Beta、sharp、Treynor﹑AppraisalRatio等
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返回：array
### `bkResidualRisk(index_id, beg_t, end_t, right_type)`
## `Bk_ResidualRisk(index_id, beg_t, end_t, right_type)`
板块残差标准差（非系统风险）
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返回：float
### `bkSharpMeasure(index_id, beg_t, end_t, right_type)`
## `Bk_SharpMeasure(index_id, beg_t, end_t, right_type)`
板块Sharp指数
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返回：float
### `bkStdDev(index_id, beg_t, end_t, right_type)`
## `Bk_StdDev(index_id, beg_t, end_t, right_type)`
板块标准差（系统风险）
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返回：float
### `bkTreynorMeasure(index_id, beg_t, end_t, right_type)`
## `Bk_TreynorMeasure(index_id, beg_t, end_t, right_type)`
板块Treynor指数
@@ -131,7 +131,7 @@
返回：float
### `bkZfMatrix(beg_t, end_t, right_type)`
## `Bk_ZfMatrix(beg_t, end_t, right_type)`
板块收益率，与系统参数(板块)相关。