May 2021 brokerage app market refresh and trading experience evaluation report From Borui data
The following is the May 2021 brokerage app market refresh and trading experience evaluation report From Borui data recommended by recordtrend.com. And this article belongs to the classification: Industry information.
With the popularity of mobile financial services, mobile app has become a common choice for the majority of shareholders. The stock market is unpredictable, and the push speed of the market will affect the investors’ trading decisions. The response performance of the key operation links such as order and cancellation will greatly affect the investors’ income. As a result, the real-time push of market data and the quickness of trading become the two core scenarios to test the performance of major securities app.
Borrui data (Stock Code: 688229, hereinafter referred to as borrui data) continuously releases the “Securities app market refresh and trading experience evaluation report” every month. This report is not for the purpose of ranking, but focuses on quantifying the performance indicators of securities app with objective and fair technical data, so as to help securities companies know each other, optimize the user experience and enhance the overall competitiveness.
Evaluation Description:
As a matter of fact, the refresh speed and trading experience of APP market will be affected by various factors in the location. Broy data selects Beijing, Shanghai and Shenzhen as the evaluation sites. This report only presents the comprehensive evaluation results of the three places. For the sub list of Beijing, Shanghai and Shenzhen, please contact us.
Evaluation target: 37 A-share listed securities companies
Test period: 2021.05.01-2021.05.31
Test scenario: market refresh speed and trading performance
Evaluation tool: bonree stock, the exclusive product of Borui data, tests the response speed of market and individual stock data of different stock trading apps in the same environment of Beijing, Shanghai and Shenzhen, quantifies the market and trading data of securities companies, and truly reflects the user experience.
May 2021
Comprehensive list of APP market refresh speed evaluation of listed securities companies
In the comprehensive evaluation of market refresh speed in May 2021, Guotai Junan Securities won the first place again, while industrial securities and Everbright Securities ranked second and third. This is also the third month in a row, the top three in the comprehensive list remain unchanged.
To sum up, Guotai Junan ranks first, and the top three places remain unchanged
In May 2021, the overall performance of 37 listed securities companies was stable. Among them, Guotai Junan Securities ranked first, Industrial Securities and Everbright Securities ranked second and third, and the top three securities companies were consistent with March and April.
May 2021
Comprehensive list of APP trading performance evaluation of listed securities companies
In the comprehensive evaluation of APP trading performance of listed securities companies in May 2021, Guoyuan securities ranked first, while industrial securities and Changjiang Securities ranked second and third. In addition, there were 13 A-level securities companies this month, one less than last month. There are 11 B-level securities companies, 3 C-level securities companies, 1 d-level securities company and 2 e-level securities companies.
summary
1. A total of 13 A-level securities companies, Guoyuan securities ranked first
This month, there were 13 A-level securities companies, one less than last month. Among them, Guoyuan securities continued to top the list, while industrial securities and Changjiang Securities ranked second and third.
The 13 A-level securities companies are: Guoyuan securities, industrial securities, Changjiang Securities, Guojin securities, Zhongtai securities, Guoxin Securities, China CITIC construction investment, Founder Securities, Guotai Junan Securities, Shanxi securities, Everbright Securities, Anxin securities and CAITONG securities
2. Five securities companies failed to maintain their advantages and their ratings declined
The rating of five securities companies dropped this month:
Grade A to B: Huaxi Securities
Grade B to grade C: Southwest Securities
Grade D to grade C: Hua’an securities
Grade D to Grade E: Huatai Securities
Grade B to Grade E: Zhongyuan securities
Index Description:
Market refresh speed
The market refresh speed is sorted according to the SQE index. The SQE index, also known as the stock quotes experience index, is an index to measure the real-time performance of the market data push of various securities companies. The securities companies with large market experience index (the index is between 0-1) have high data efficiency.
The calculation method of SQE index is as follows: according to the latest market of each securities company in a certain period (default is 1s), sort from large to small according to the turnover index. If the turnover of the same data comparison is the same, the corresponding weight t is obtained by the second comparison according to the standard time. The weight of the former is 1 in the current period, and the others decrease by 0.01 in turn, that is, SQE = t * t, That is, take the square of t as the SQE of this period.
Three factors affect the refresh rate of APP market of securities companies
1. Whether the market machine of securities companies is synchronized with the market source timely enough, and whether the efficiency of internal processing is efficient;
2. The quality differences of access lines used by securities companies, such as the quality of network links between end users and market machines of securities companies, high delay and packet loss, directly affect the delay of market data to customers’ mobile phones;
3. Differences in the pull mechanism of APP market.
Transaction performance
The trading performance test follows the “four same” principle, that is, the same mobile device, the same access network, the same time benchmark, the same test subject (the same index or the same stock). At three fixed time points (9:30, 10:00 and 13:00) of each day, on a large number of real mobile devices in the laboratories of Beijing, Shanghai and Shenzhen, the key transaction operations such as entrustment and cancellation are initiated at the same time. Through the combined analysis of local network message data and app memory data, the indicators such as cancellation reporting time and cancellation success rate are accurately obtained, Through the pre-designed parabolic model scoring formula, the trading performance of the three time points is comprehensively scored. According to the score, the trading performance is divided into five grades of a, B, C, D and E, and the grade A is the best. The full score of a single time point is 200 points, and the total score of three times in the whole day is more than 590 points, which is A-level.
The trade performance is mainly considered from two aspects: the response delay of trade operation and the success rate of trade operation. Therefore, we are referring to two weight indicators, which are time-consuming for cancellation report and success of transaction operation. The smaller the reporting time and the higher the success rate of cancellation, the better the user experience and the higher the performance score.
Four moments affect transaction performance:
T1: the time when the user clicks the confirmation button in the withdrawal pop-up box;
T2: the time when the app network layer actually sends the cancellation report request;
T3: the time when the app network layer receives the first packet of the response message;
T4: the time when app receives the response message locally and constructs it as the corresponding object in the program.
The phase time consumption obtained by subtracting every two adjacent moments represents different influencing factors. The detailed data of these four critical moments can point out the direction for the securities companies to optimize the corresponding performance of trading operation, and is one of the important basis for the IT technical teams of major securities companies to optimize the user experience.
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