worldquantbrain_4_program(倒序)

杰瑞发布于2025-09-22

Study financial theory: Review academic papers on quantitative finance to understand factors and market anomalies.
  1. expression n. 表达,表示;表情;表现力;措辞
  2. statistics n. 统计;统计学;统计资料
  3. plot n. 阴谋;情节;图
  4. magnitude n. 大小;光度;重要;震级;量级
  5. accuracy n. 精确度,准确性
  6. utilize vt. 利用
  7. appreciation n. 感谢;增值;欣赏,鉴别
  8. threshold n. 极限;门槛;入口;开始;临界值
  9. fraction n. 小部分;部分;稍微;[数]分数
  10. cumulative adj. 累积的
  11. anomaly n. 不规则;异常;反常事物
  12. bog n. 沼泽;泥塘
  13. peruse vt. 详细考察;精读
  14. gear/ɡɪr/ n.齿轮;(特定用途的)器械,装置;(做事的)速度,努力;(某种活动的)设备,用具,衣服;传动装置;挡;排挡;衣服;毒品;所有物 v.换挡;(使)适合;使准备好;(使)搭配;使兴奋起来
  15. hub n. 中心;毂;木片
  16. equity[ˈɛkwɪti] n. 公平,公正;普通股;衡平法;抵押资产的净值
  17. matrixUS[ˈmeɪtrɪks]UK['meɪtrɪks] n. 矩阵;基质;模型;脉石;母体;子宫
  18. vector n. 矢量;带菌者;航线
Converts a grouping field of many buckets into lesser number of only available buckets so as to make working with grouping fields computationally efficient
将多个桶的分组字段转换为较少数量的仅可用桶,以便在计算上高效地使用分组字段
Bucket is useful for creating group values, which can be passed to GROUP as input
Bucket可用于创建组值,这些值可以作为输入传递给group
Interpret Results
阐释结果
Selecting Alphas For Submission
选择Alphas进行提交
Can using custom neutralization on the Alpha based on self-created groups (like historical volatility) help improve sub-universe performance? Use floor or bucket operator combined with rank operator to implement custom neutralization
基于自我创建的组(如历史波动率)在Alpha上使用自定义中和可以帮助提高子宇宙的性能吗?使用地板或铲斗操作员结合等级操作员来实现自定义中和
If the Call Open interest is higher than the Put Open interest, the stock may rise based on the intensity of the implied volatility spread or vice versa.
如果看涨未平仓利率高于看跌未平仓利率,则股票可能会根据隐含波动率价差的强度而上涨,反之亦然。
Stocks of companies that face high differences in their prices after any news release can be subject to varying sentiments that can lead to volatile behaviour. You can try avoiding periods of extreme volatility due to recent news releases
在任何新闻发布后,价格差异较大的公司股票可能会受到不同情绪的影响,从而导致波动行为。你可以试着避免因最近的新闻发布而出现极端波动的时期
The recent news event only be relevant for a limited time, can using an operator which changes Alpha weights quickly for values closer to zero rather than distant values help improve Alpha performance? Also can using trade_when operator help reduce the turnover?
最近的新闻事件只在有限的时间内具有相关性,使用一个运算符来快速更改接近零的值而不是距离较远的值的Alpha权重,可以帮助提高Alpha性能吗?使用trade_when操作符也能帮助减少营业额吗?
Stocks of companies that face high differences in their prices after any news release can be subject to varying sentiments that can lead to volatile behaviour. You can try avoiding periods of extreme volatility due to recent news releases
在任何新闻发布后,价格差异较大的公司股票可能会受到不同情绪的影响,从而导致波动行为。你可以试着避免因最近的新闻发布而出现极端波动的时期
Cross Sectional
横截面
Long stocks of companies whose hub score of customers are low over the past two years using price volume data.
根据价格-交易量数据,过去两年客户中心得分较低的公司的多头股票。
A higher hub score in the data field indicates that a company's customers have many connections, while a lower score suggests a more concentrated set of partners. If a company's customers have lower hub scores, it means they have fewer partners and potentially rely on the company. This can be positive for the stock as it indicates a lower risk of the company being replaced. Therefore, investing in such stocks for the long term may be a good idea
数据字段中较高的中心得分表明公司的客户有很多联系,而较低的得分表明合作伙伴更集中。如果一家公司的客户中心得分较低,这意味着他们的合作伙伴较少,可能会依赖该公司。这对股票来说可能是积极的,因为它表明公司被替换的风险较低。因此,长期投资此类股票可能是个好主意
Weight concentration
重量浓度
Value and Momentum in stocks is typically uncorrelated and a stock with high momentum and value score correlation suggests a disconnect between the stock's price and its intrinsic value - thus we short these stocks
股票的价值和动量通常是不相关的,动量和价值得分相关性高的股票表明股票价格与其内在价值之间存在脱节,因此我们做空这些股票
Valuation Disconnect Swing Short
估值断开摆动空头
Poorly performing stocks are discussed more in general on social media platforms and thus they might have a higher relative sentiment volume, thus consider to short those stocks.
社交媒体平台上对表现不佳的股票进行了更广泛的讨论,因此它们可能具有更高的相对情绪量,因此考虑做空这些股票。
In a data science model: Imagine a model that generates a series of random numbers. Operator: The random number generator. Alpha: The output of this operator (the series of random numbers). Driver parameter: A "shape" parameter that controls how the random numbers are generated. Transformation: The model's default is to generate numbers with a normal distribution. However, by using a new value for the "shape" parameter, you can tell the generator to produce numbers that instead follow a Gamma or Beta distribution, thus "improving the Alpha" by making it more suitable for a specific task.
在数据科学模型中:想象一个生成一系列随机数的模型。运算符:随机数生成器。Alpha:此运算符的输出(随机数序列)。Driver参数:控制随机数生成方式的“形状”参数。转换:模型的默认值是生成具有正态分布的数字。但是,通过为“shape”参数使用新值,您可以告诉生成器生成遵循Gamma或Beta分布的数字,从而通过使其更适合特定任务来“改进Alpha”。
Use the ‘liabilities’ and ‘assets’ to design the ratio.
使用“负债”和“资产”来设计比率。
Power of leverage
杠杆的力量
This ratio can vary significantly across industries. Would it be worth considering alternative neutralization settings?
这一比例在不同行业之间可能存在显著差异。是否值得考虑其他中和设置?
Utilize the operator’s driver parameter to transform it into a different distribution.
利用操作员的驱动器参数将其转换为不同的分布。
Take a long position in companies whose debt has decreased compared to the past, and conversely, take a short position in companies whose debt has increased.
对债务较过去有所减少的公司持有多头头寸,反之,对债务增加的公司持有空头头寸。
Reducing debt
减少债务
Instead of relying on the raw value of the ratio to decide weights of stocks, use cross-sectional operators. Utilize group based operators to compare across similar stocks.
与其依赖比率的原始值来决定股票的权重,不如使用横截面运算符。利用基于集团的运营商对类似股票进行比较。
Firms with high deferred revenue will surprise the market in the future when the deferred revenue is recognized.
当递延收入被确认时,递延收入较高的公司将在未来出乎市场意料。