词汇：where
adv. 在哪里
相关场景
Down by the river bank. Where the wind whispers through the willow trees. It's a very pleasant place to have a lunch party with a few friends. But life is not always so peaceful.
>> The wind in the willows 风语河岸柳
>> The wind in the willows 风语河岸柳
My boy doesn't like the novel of the disaster of earth. Maybe I think it's too sad. We can't imagine that earth is disappeared, where can we live?
>> 碎碎念 muttering
>> 碎碎念 muttering
the city where a company's corporate headquarters or home office is located | Matrix.
>> Fundamental Company Fundamental Data for Equity
>> Fundamental Company Fundamental Data for Equity
Indicate number of shares or other units outstanding of each of registrant's classes of capital or common stock or other ownership interests, if and as stated on cover of related periodic report. Where multiple classes or units exist define each class/interest by adding class of stock items such as Common Class A [Member], Common Class B [Member] or Partnership Interest [Member] onto the Instrument [Domain] of the Entity Listings, Instrument. | Matrix.
>> Fundamental Report Footnotes
>> Fundamental Report Footnotes
Indicate number of shares or other units outstanding of each of registrant's classes of capital or common stock or other ownership interests, if and as stated on cover of related periodic report. Where multiple classes or units exist define each class/interest by adding class of stock items such as Common Class A [Member], Common Class B [Member] or Partnership Interest [Member] onto the Instrument [Domain] of the Entity Listings, Instrument. | Matrix.
>> Fundamental Report Footnotes
>> Fundamental Report Footnotes
Yesterday, I went to GreatWall company to interview. Then today I go to work. I am distributing flyers this morning, and migrate two accounts with colleage this afternoon. It's not an easy work. There are many details during work. The biggest problem is too cold by electric scooter in the morning. I need to wear more. I don't look forward to tomorrow's work, but I have to. It's an experence. It's a phsical and mental exercise. I don't know where will I to distribut flyers tomorrow.
>> 碎碎念 muttering
>> 碎碎念 muttering
Group operators are a type of cross-sectional operator that compares stocks at a finer level, where the cross-sectional operation is applied within each group, rather than across the entire market. The group_rank operator allocates the stocks to their specified group, then within each group, it ranks the stocks based on their input value for data field x and returns an equally distributed number between 0.0 and 1.0.
This operator may help reduce both outliers and drawdown while reducing correlation.
Example: group_rank(x, subindustry)；
The stocks are first grouped into their respective subindustry.
Within each subindustry, the stocks within that subindustry are ranked based on their input value for data field x and assigned an equally distributed number between 0.0 and 1.0.
>> Operators
>> Operators
集团运营商是一种横截面运营商，它在更精细的层面上比较股票，其中横截面操作适用于每个集团，而不是整个市场。group_rank运算符将股票分配到指定的组，然后在每个组内，它根据数据字段x的输入值对股票进行排名，并返回一个在0.0和1.0之间均匀分布的数字。此运算符可能有助于减少异常值和下跌，同时减少相关性。示例：group_rank（x，子行业）这些股票首先被归入各自的子行业。在每个子行业内，该子行业内的股票根据其数据字段x的输入值进行排名，并分配一个在0.0和1.0之间均匀分布的数字。
It calculates ts_rank and apply to its value an inverse cumulative density function from driver distribution. Possible values of driver (optional ) are "gaussian", "uniform", "cauchy" distribution where "gaussian" is the default.
>> Operators
>> Operators
它计算ts_rank，并将驱动器分布的逆累积密度函数应用于其值。驱动器的可能值（可选）是“高斯”、“均匀”、“柯西”分布，其中“高斯”是默认值。
Suppose we have Alpha = -ts_delta (close, 5), where Alpha is the vector of values. Setting neutralization = market, would make the mean of the Alpha vector equal to zero, i.e. the Alpha vector would undergo the change: Alpha = Alpha - mean(Alpha).
>> worldquantbrain_5_vector
>> worldquantbrain_5_vector
假设我们有Alpha=-ts_delta（close，5），其中Alpha是值的向量。设置中和=市场，将使阿尔法向量的均值等于零，即阿尔法向量将发生变化：阿尔法=阿尔法-均值（阿尔法）。
Please provide complete address history for the past five years in ENGLISH and LOCAL language. Please include all addresses in any location where you have resided for more than 1 month. Use the following spaces, as needed, beginning with the most recent.Address for the last five years (Street, City, State/Province, Postal Code)
>> worldquantbrain_3_myworkday
>> worldquantbrain_3_myworkday
请用英语和当地语言提供过去五年的完整地址历史。请包括您居住超过1个月的任何地点的所有地址。根据需要使用以下空格，从最新空格开始。过去五年的地址（街道、城市、州/省、邮政编码）
All information must be true and complete to the best of your knowledge and belief, and all of your responses must be in ENGLISH (only where instructed use local language). No section or field should be left blank. You are required to answer each question, unless a question does not apply to you (e.g. question is for certain countries only, question is for currently employed person only), in which case insert "Not Applicable" or "NA" . All information provided in this form is subject to verification by WorldQuant, LLC (the “Firm”) and/or its agents, and any falsification, misrepresentation or omission of fact in this form, or during the engagement process, may be cause for denial or termination of your consulting agreement with the Firm. Responses to various questions contained in this questionnaire (including, without limitation, the questions set forth in the Regulatory Questions section) are required in connection with the Firm’s obligations under the U.S. Investment Advisers Act of 1940, as amended and the U.S. Securities Act of 1933, as amended.
>> worldquantbrain_3_myworkday
>> worldquantbrain_3_myworkday
据您所知和所信，所有信息必须真实完整，您的所有回复必须使用英语（仅在有指示的情况下使用当地语言）。任何部分或字段都不应留空。您需要回答每个问题，除非某个问题不适用于您（例如，该问题仅适用于某些国家，仅适用于当前在职人员），在这种情况下，请插入“不适用”或“NA”。本表格中提供的所有信息均须经WorldQuant，LLC（“公司”）和/或其代理人核实，本表格中或在聘用过程中对事实的任何伪造、虚假陈述或遗漏都可能导致您与公司的咨询协议被拒绝或终止。需要对本问卷中包含的各种问题（包括但不限于监管问题部分中提出的问题）作出回应，这些问题与公司在经修订的1940年《美国投资顾问法》和经修订的1933年《美国证券法》下的义务有关。
Vector Data are data fields without fixed size, where the number of events per day per instrument varies. Unlike matrix data with one value per day per instrument, vector data can store many values, like news data with different numbers of events per instrument. This allows for capturing more detailed information.
When writing an Alpha expression, the result is a matrix of Alpha values representing market positions. Platform operators are designed for matrix input, so use vec_~ operators to convert vector data to matrix form before applying matrix operators. This is done by aggregating vector data for each day and instrument into a single value, as illustrated in the figure below.
>> worldquantbrain_2
>> worldquantbrain_2
矢量数据是没有固定大小的数据字段，其中每个仪器每天的事件数量各不相同。与每个仪器每天只有一个值的矩阵数据不同，矢量数据可以存储许多值，比如每个仪器有不同事件数量的新闻数据。这允许捕获更详细的信息。编写Alpha表达式时，结果是表示市场头寸的Alpha值矩阵。平台运算符是为矩阵输入而设计的，因此在应用矩阵运算符之前，使用vec_~运算符将向量数据转换为矩阵形式。这是通过将每天和仪器的矢量数据聚合到一个值中来实现的，如下图所示。
When using group datafields, you may encounter situations where excessive computation leads to simulation failures. This can happen when the values of the group datafields are sparsely distributed, making the computation inefficient. In such cases, applying densify(x) operator to the group datafields can help resolve the issue. More detailed information can be found in the description of densify(x) in the Operator Explorer.
>> worldquantbrain_2
>> worldquantbrain_2
使用组数据字段时，您可能会遇到过度计算导致模拟失败的情况。当组数据字段的值稀疏分布时，可能会出现这种情况，导致计算效率低下。在这种情况下，对组数据字段应用density（x）运算符可以帮助解决问题。更详细的信息可以在操作员资源管理器中的加密（x）描述中找到。
Earlier in the submission criteria, we saw the Subuniverse Test, which checks if Alpha signals persist in smaller universes. By verifying if the Alpha works well in universes with higher liquidity where signals are harder to generate, it assesses Alpha's robustness.
If an Alpha fails this test, it likely works from low-volume stocks, making it difficult to realize in practice. In such cases, Subuniverse Sharpe can improve by concentrating positions more on high-volume, large-cap stocks.
>> worldquantbrain
>> worldquantbrain
在提交标准的早期，我们看到了亚宇宙测试，它检查阿尔法信号是否在较小的宇宙中持续存在。通过验证Alpha在流动性更高、信号更难产生的宇宙中是否工作良好，它评估了Alpha的稳健性。如果阿尔法未能通过这一测试，它可能会从低容量库存中工作，这使得在实践中难以实现。在这种情况下，Subuniverse Sharpe可以通过将头寸更多地集中在高容量、大盘股上来改善。
The appropriate operator can vary depending on the situation. Time Series operators might be more appropriate when companies have different scales making cross-sectional comparison difficult. However, for model data where company metrics are already adjusted, Cross-sectional operators might be more suitable.
>> worldquantbrain
>> worldquantbrain
合适的操作员可以根据情况而变化。当公司规模不同，难以进行横断面比较时，时间序列运算符可能更合适。然而，对于公司指标已经调整的模型数据，横截面运算符可能更合适。
He who can produce two blades of grass or two ears of corn on a spot of ground where only one grew before, deserves better of mankind, and does more essential service to his country, than the whole race of politicians put together.
>> Gulliver's Travels格列佛游记
>> Gulliver's Travels格列佛游记
谁能在以前只有一棵草的土地上长出两片草叶或两穗玉米，谁就值得更好的人类，为他的国家做更重要的服务，比整个政治家的总和还要多。
The momentum effect is a common phenomenon in financial markets where assets that have recently risen tend to continue rising, and assets that have fallen tend to continue falling. Various academic studies have confirmed this effect.
>> worldquantbrain
>> worldquantbrain
动量效应是金融市场中的一种常见现象，最近上涨的资产往往会继续上涨，而下跌的资产则往往会继续下跌。众多学术研究已证实了这一效应。
I dropped the mirror. It now has a big ugly crack from one side to another. A line where something broke.
>> 110-Interact with
>> 110-Interact with