Want to get excess returns from investing? You need to have an "alpha"
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The so-called "alpha" in the contemporary financial field most commonly means excess return (Active Return). To measure the performance of a fund manager, if the return brought by his operation exceeds that of the index fund ETF, then it can be said that the manager has "alpha". If it does not exceed the ETF, then it is better for us to operate it ourselves. . .
This video will demonstrate the Nucleus platform launched by SumUp through an example, using 3 simple steps to help you easily generate high-value investment theme references
As we all know, 80% of the data on the Internet is unstructured text data, including public content, papers, emails, and summaries or texts of social media. Most of the analysis of these data is ineffective, which makes it easy to miss some important information. However, these submerged important information is very likely to make your investment get excess returns.
In this video, we will use the Nucleus platform launched by SumUp to help you easily generate high-value investment theme references in 3 simple steps, eliminating the possibility of missing key information.
Step 1: Analyze the dataset and formulate investment themes in seconds, helping users to identify a list of topics to be investigated by providing relevant information, corroboration with other keywords, sub-themes and summaries.
Step 2: Dialectical analysis: Conduct in-depth exploration of the topics generated in step 1 through analysis of key reports and relevant documents from relevant companies.
Step 3: Identify investment themes by analyzing selected themes in each specific data set.
Through the above three steps, in the video we will analyze the relevant data of two hot Internet companies in the past 10 years to come up with an investment direction that investors should pay attention to.
Watch the video
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SumUp webinar replay:
How to extract and analyze key information from massive amounts of unstructured data
Presenter:
- Jim Wu, CTO, SumUp
- Liang Xiaoming, Data Center Product Manager, Xilinx
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