226 High Probability (HPL) 70%-100% Stock Screening Models +268 Sub-High 51%-69.9%

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Customization: Available
Transport Package: No Need
Specification: 51-69.9 percent; 70-100 percent
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  • 226 High Probability (HPL) 70%-100% Stock Screening Models +268 Sub-High 51%-69.9%
  • 226 High Probability (HPL) 70%-100% Stock Screening Models +268 Sub-High 51%-69.9%
  • 226 High Probability (HPL) 70%-100% Stock Screening Models +268 Sub-High 51%-69.9%
  • 226 High Probability (HPL) 70%-100% Stock Screening Models +268 Sub-High 51%-69.9%
  • 226 High Probability (HPL) 70%-100% Stock Screening Models +268 Sub-High 51%-69.9%
  • 226 High Probability (HPL) 70%-100% Stock Screening Models +268 Sub-High 51%-69.9%
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Basic Info.

Model NO.
S-8
Trademark
King Best
Origin
China
HS Code
8523499090

Product Description


High Probability (HPL) 70%-100% stock screening models -226+268

The quantitative strategy comes from historical experience. It discovers and utilizes the regularity shown in the history of the investment market through accurate calculation of data, and assumes that this law will continue to be effective in the future.

Why should we make quantitative investment? What are its comparative advantages?
1.What has happened will happen again. What has been done must be done later. There is nothing new under the sun. Solomon's words have gone through three thousand years. Even today, when we hear them, we can still feel the meaning of these sayings.

History is always strikingly resemblance; I believe some of the important points of this study will give the best inspiration for your reality facing problems currently.

From the perspective of history, fundamental analysis seems to be comprehensive but not necessarily accurate. The developed functions of human brain are limited, and it is difficult to correctly handle the complex mass of information. Some information will be magnified subjectively, while others will be ignored, which will easily lead to deviation or even error in people's cognition, which will mislead future investment. And the computer will examine all the input information equally. It can accurately measure the historical role played by each factor, that is, it can accurately and comprehensively process within a limited range of information. Of course, the degree of accuracy and comprehensiveness depends on the ability of people using computers, but from the perspective of methodology, it is undoubtedly the most accurate.

2. In terms of investment decision-making, the fundamentals analysis investors are difficult to be objective enough, and subjective and emotional influence is everywhere. Even investors with similar experiences will make different judgments when facing the same information, and the same person may make completely different operations in different environments. Obviously, human subjective factors (including preferences, mood, personality, etc.) have a very important impact. Of course, this is not to deny subjective perception, but to show that artificial subjectivity is likely to make investors give up rational thinking and distort their understanding of objective facts.  The computer program is enough to overcome the weakness of human nature. It can faithfully implement the rational research results completed by the model developer without being disturbed by other factors. With the same information input, the conclusions it draws are unique, clear, objective and rational enough.

3. Quantitative investment can greatly reduce the load of human brain and help people make more efficient investment. Computer programs can process a large amount of information at the same time. For example, the quantitative stock screening model can output the stock portfolio quickly and in batches after inputting tens of millions of data, while the human brain may need several months of hard work to screen the same portfolio, but it is not likely to achieve better results. In addition, computers can work tirelessly, which will significantly improve the chances of investors to seize opportunities.

Therefore, it is very necessary to carry out quantitative investment and research, which will play a very good role in complementing and promoting traditional investment. We should not give up eating for fear of choking because of the fear of the bankruptcy of the long-term capital management company. Quantitative models are excellent investment tools. The key to good results lies in how developers and users use them, rather than the quantitative means themselves.

Based on historical laws, our Think Bank has already developed 226 High Probability (HPL) 70%-100% stock screening models and 268 sub-High Probability (HPL) 51%-69.9% stock screening models to help stock investors to solve their pain points such as frequent short-term operation, Disliking short positions, believing in the grapevine, group psychology, analysis of superstition technology, no stop loss, emotion control, etc.

Among of them, more than 100 universal stock picking models suitable for different markets.

The stock market does not have opportunities every day, but it never lacks opportunities. If you miss it, don't chase it. If it does not hit the buying price set by yourself or our AI-powered automatic stock screeners, you must be patient and wait for the opportunity.

Our goal is to minimize your losses and improve your investment income even if your market is a bearish one. Any investors, if interested in them, please feel free to contact us for 1-3 models' testing first (Simulated stock trading) free of charge. 


 

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