📝 docs(tsl): complete and lint codegen reference
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# 因子与量化 / 风险分析
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### `getDataByDiff(stks, beg_t, end_t, zb_name, zb_exp)`
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## `getDataByDiff(stks, beg_t, end_t, zb_name, zb_exp)`
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按条件筛选股票,测试函数。返回包括表达式ZBExp的基本信息,若在begt未上市交易则剔除。
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返回:float
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### `pfComponentBetaPercent2(t, index_id, begt, endt, min_trade_days, method_for_no_enough_data)`
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## `pf_ComponentBetaPercent2(t, index_id, begt, endt, min_trade_days, method_for_no_enough_data)`
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成份β贡献,组合中某一证券对组合β的百分比贡献。
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返回:any
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### `pfVarByHistoricalSimulation(w, beg_t, end_t, confidence_interval, market_value, delta_t, method_type)`
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## `pf_VARByHistoricalSimulation(w, beg_t, end_t, confidence_interval, market_value, delta_t, method_type)`
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VAR-历史模拟法。
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