The world is changing faster and faster, but women are becoming more determined. On March 6, a women’s travel report released by Qunar Travel showed that in the past year (March 2025-March 2026), the number of women choosing to stay in hotels alone increased significantly by 63% year-on-year.
Research | Written by Wang Yugang and Lu Shiyu | Zhang Yang
In recent years, quantitative investment has attracted more and more attention, and financial practitioners and institutions have tried to lift the mystery of quantitative investment and obtain higher returns through it. At the same time, with the support of AI, quantitative investment is more efficient. However, for individuals, there are currently only a handful of AI quantitative platforms; for institutions, building an AI quantitative platform has high technical requirements.
Founded in 2016, Kuanbang Technology applies its own AI technology to quantitative investment, exports a simple and easy-to-use quantitative platform to C-side customers, and provides overall solutions to B-side customers, allowing customers to overcome technical difficulties and directly use AI quantitative tools.
Strategically, Kuanbang Technology first launched the AI quantitative application platform BigQuant for C-end users. In the process, it improved its technical capabilities, optimized its products, demonstrated its strength through the C-end platform, and cultivated brand awareness.
After that, we will provide overall solutions for the AI quantification platform for B-side financial institutions, especially securities firms. At the same time, Kuanbang Technology has commercialized BigQuant’s underlying technology platform and launched the Big AI full-stack artificial intelligence platform, which is commonly used in the financial industry.
For C-side users, the BigQuant website not only has efficient strategy writing functions, but also has a very low technical threshold.
The platform data is mainly public financial market data, and users can also define their own data sources. In terms of technology, users understand the basic principles of AI and quantification, and if they understand a little bit of code, they can write their own strategies on the platform. Through the simulated real trading function, users can easily conduct model backtesting and optimization. Moreover, through authorization, C-side customers can connect their trading strategies to the brokerage platform where they have opened an account and conduct real trading. In addition, platform users can exchange methods, share function tools, and sell their own strategies.
For B-side customers, after Kuanbang Technology has deployed the AI quantification platform, they can directly apply its writing strategies at work, conduct transactions, and pursue high returns.
Kuanbang Technology will provide overall solutions for the AI quantification platform based on the B-end customer situation. The advantage of BigQuant is that it encapsulates data processing, model building, backtesting, trading and other modules and presents them to strategy writers in a visual interface. This not only greatly reduces the technical requirements for quantitative traders, but also lowers the technical threshold for model development and maintenance.
Kuanbang Technology's overall service eliminates the need for B-end customers to set up their own AI and algorithm teams, reduces the cost of platform construction, and can be quickly applied to work.
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Brokerages are the main source of income
Cultivate C-side users with a view to commercialization
As mentioned above, Kuanbang Technology serves C-side customers through the BigQuant website and B-side financial institutions through solutions. In addition, it opens the BigQuant platform to universities to assist in cultivating AI quantitative talents.
The C-side has accumulated tens of thousands of strategy developers, 1/3 of which are professional investors. Users who develop strategies on the platform can be subscribed by other users for a fee, and some users can earn over RMB 10,000 per month in strategy subscription fees from the platform. Strategies developed by investors through the platform are used by many quantitative asset managers to release private equity products and for real trading.
B-side financial institutions are Kuanbang Technology’s current main source of income, especially securities firms. Brokerages are the most active party in investment activities in the financial market. They hope to use new methods to increase investment returns, but their own technical capabilities are limited.
On the one hand, Kuanbang Technology has solved the problem of building an AI quantification system for securities companies, enabling the system to go online quickly and reducing personnel barriers and costs for operation and maintenance. On the other hand, compared with traditional trading methods, AI quantitative trading returns have significantly improved.
Based on the above two benefits, brokerages are willing to pay for BigQuant. The charge for the overall solution is divided into two parts, the project deployment fee and the subsequent annual maintenance fee. At present, Kuanbang Technology has served dozens of securities firms and private equity institutions, including leading companies such as CITIC Securities.
Recently, AiAnalysis conducted an exclusive interview with Liang Ju, founder and CEO of Kuanbang Technology, and now shares the exciting content as follows.
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China’s quantitative trading market is still in its early stages
AI application potential is huge
AiAnalysis: What can we learn from in the foreign quantitative trading industry?
Liang Ju: Relatively speaking, the foreign quantitative industry is much more mature and has many types of transactions. If high-frequency trading is included, about 80% of the trading orders in the market are issued by machines, and the machines are algorithm-driven in the background. Some larger funds, such as Renaissance and Two Sigma, are using machine learning and other methods to make machines better able to trade.
The domestic quantitative industry is in its early stages. First of all, the market share of companies that conduct transactions through quantitative trading is still very low; secondly, tradable targets are not abundant, and market effectiveness is relatively low; in addition, compared with traditional trading methods, the performance accumulation of quantitative trading is not enough, and it needs to accumulate for a period of time for the market to see the effect.
At the same time, in the face of changes in the domestic market, securities firms are looking for new trading methods. The advantages of AI quantitative trading are reflected in two aspects: on the one hand, AI is a greater productivity; on the other hand, the performance advantages of quantitative trading will gradually emerge. Quantification has many natural advantages, such as not being affected by human emotions. Therefore, the application of AI and quantification is likely to grow significantly in the next few years.
iAnalysis: How is the application of AI quantitative trading in the Chinese market different from that in the United States?
Liang Ju: We found that China is a very large market. Applying our algorithm to A-shares, it is easy to achieve an annualized return of 50%. However, in the US stock market, it is very difficult to achieve 10%-20% because market information is very transparent and other companies are very competitive.
There is a lot of information asymmetry in China's A-share market, and some good results can be achieved by using volume and price. And the machine digs deeper, getting better results. At this stage, those using AI will gain first-mover advantages.
AiAnalysis: Is there any competition with other domestic quantitative trading platforms?
Liang Ju: The entire investment activity covers many aspects. Broadly speaking, it covers investment strategy (which financial products to do), investment strategy (how to do investment transactions), and transaction execution from top to bottom. Companies that provide quantitative services will do a certain part of the business in a targeted manner based on their own capabilities and understanding of the market. So it may be a competitive relationship or a cooperative relationship.
Traditional quantification focuses on the execution level, where people write strategies. Artificial intelligence, on the other hand, is more strategic and involves machine-written strategies. On our platform, you don’t need to give instructions to the machine. You only need to set goals for the machine. For example, screen out the stocks with the highest price increases in the next five days, and then the machine will find the stocks through the machine learning model. People can combine their own abilities to screen and further optimize.
Quantification is low-dimensional, while AI is high-dimensional. We provide a platform with both quantification and AI functions.
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Provide customers with overall solutions, extending downward from industries with high data concentration
Love Analysis: Is AI an improvement on traditional strategies, or is it using a completely new strategy?
Liang Ju: Including these two aspects. On the one hand, it is optimization, which allows the machine to learn the parameters of the original strategy; on the other hand, AI may find a better path with less resistance, thereby obtaining better results.
Love Analysis: What is the difference between BigQuant and traditional AI technology?
Liang Ju: We mainly treat machine learning as a service, and do not require customers to do data processing, build machine learning frameworks, and build algorithm models themselves.
CITIC Securities used to take 40 minutes to access data, but we helped them optimize it to the second level. They don’t know how to build a machine learning framework, but our platform is transparent to them and can handle large amounts of data.
AiAnalysis: Is it connected to the securities firm’s trading system?
Liang Ju: When we help securities companies with privatization deployment, we will directly extend it to the trading side. Whether it is for the internal needs of securities firms or the needs of their customers, the transaction interface needs to be opened. The docking of the transaction interface is very simple, but compliance must be ensured.
AiAnalysis: Are there any technical or financial barriers to users?
Liang Ju: In fact, we have lowered the ability requirements for users very low, and we will further lower them in the future. Our platform now still requires users to have a certain understanding of AI and quantification. People who understand the rules of market operation will choose better features and let the machine learn them, and the results will be better.
AiAnalysis: Can strategy developers see how their models are optimized?
Liang Ju: AI technology itself is a black box, but we try to open up the AI algorithm part so that strategy developers know how the results come from. So we are also doing investor education and training.
iAnalysis: What securities products can BigQuant be applied to?
Liang Ju: You can do US stocks, A-shares, Hong Kong stocks, and futures. To us, these transactions are actually data. Some foreign exchange institutions are also cooperating with us, and there are even digital currencies. For different securities products, the same AI platform is used, but the trading algorithms are different.
AiAnalysis: In addition to quantification, in what fields do you plan to implement Big AI in the future?
Liang Ju: In the early days, we visited many companies, including securities firms, banks, and insurance companies. Among them, securities companies have many scenarios that can be implemented, and quantification is the most direct. At the same time, quantification can also assist traditional investment, such as screening stocks for investors, and then letting people do further processing.
Other implementation scenarios include intelligent customer service. The original intelligent customer service only needed to add a corpus and knowledge base, but now machine learning can make intelligent customer service do a better job.
The choice of implementation scenario is to start from industries with a high degree of data concentration or a high degree of acceptance of AI, and then expand to areas with a lower degree of data concentration or a relatively low degree of acceptance. During this process, we will also continue to polish the products.
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Breaking down AI quantitative talent barriers for securities firms
iAnalysis: Which types of financial institutions are the main customers?
Liang Ju: We mostly serve companies with weak IT in the financial field. Brokerages want to do AI quantification, but the IT and development departments themselves lack capabilities and need to rely on mature outside technologies.
AiAnalysis: What are the benefits of Kuanbang’s overall solution to securities companies?
Liang Ju: On the one hand, excellent AI technical personnel are scarce, and it is difficult for brokerage firms to build their own teams and build platforms. The threshold of our platform is very low, which reduces the dependence on talents. AI quantified knowledge can be deposited in enterprises.
On the other hand, when it comes to big data, machines can do better than people. Humans can only see part of the world and achieve local optimization, but machines can see more and achieve global optimization. For example, the results obtained by a human based on 3 stocks may be different from the results obtained by a machine based on 3,000 stocks.
iAnalysis: How long does it take for a brokerage’s privatization deployment process?
Liang Ju: It can be deployed in a week or two, and then it has to be connected to the customer's system. The whole process takes about a few months because the customer's internal system is relatively complex.
He further explained that firstly, the change fee rules lacked fair consideration. If a passenger misses the train on the day and changes his ticket before 24:00 on the day of departure, he can only change the train to the next day or later, and he will have to pay a handling fee of up to 40%, which is much higher than the 20% standard for refunds in the same period. This billing method does not fully take into account the objective needs of passengers who "still need to travel after missing the train". Passengers who miss the train due to operational errors or traffic delays often have to bear additional costs beyond their expectations. At the same time, the 15% handling fee for ticket changes less than 24 hours before driving is too burdensome for small tickets and lacks an upper limit protection mechanism.
Second, the rebooking operation lacks a withdrawal mechanism. Once the current change operation is confirmed, it will take effect immediately and cannot be withdrawn. If passengers cannot restore the original ticket status due to operational errors, system delays, or misoperation by others, they can only choose to refund the ticket and bear additional fees. This "correction means loss" design leaves no room for passengers to make corrections and significantly increases the cost of travel without subjective intention.
Third, service connection and information prompts are obviously insufficient. At present, the railway department's "free refund within 30 minutes" policy to benefit the people has not yet been extended to the ticket change process. The official platform operation page lacks clear risk warning and fee preview functions, making it difficult for passengers to predict the actual handling fee amount before confirming the change. In addition, the rules for changing tickets on third-party ticket purchasing platforms are different from the official ones. The rules are opaque and inconsistent, which can easily lead to misunderstandings and disputes.
In order to optimize the EMU rebooking service and protect the legitimate rights and interests of passengers, Lei Maoduan put forward three suggestions. The first is to optimize the billing rules for rebooking fees. The handling fee for rebooking for the next day and subsequent trains after missing a train will be reduced from 40% to 20%, consistent with the refund standards, taking into account railway operating costs and passenger affordability. The 15% handling fee for ticket changes less than 24 hours before driving is stipulated, and a cap of 50 yuan is added to avoid excessively high handling fees for small tickets. At the same time, for special groups such as the elderly, students, and disabled people, relying on the 12306 real-name authentication system, free rebooking opportunities are provided twice a year; any rebooking losses caused by system failures or prompt errors shall be fully refunded after verification.
The second is to establish a withdrawal mechanism for rebooking errors to provide room for error correction. Set up a 30-minute free withdrawal window after ticket changes, allowing passengers to promptly restore their original ticket status after an operation error. The conditions for withdrawal are limited to more than 4 hours before driving time, failure to print out the reimbursement voucher, and failure to check in luggage. After withdrawal, the original seat information will be restored and the number of changes will not be used. For emergency rebooking errors that are less than 4 hours before driving, a manual review channel is opened. If it is verified that it is a non-subjective and malicious operation, the rebooking can be revoked and only a 10 yuan cost will be charged. Special groups are exempted.
The third is to improve the service guarantee system and improve operation friendliness. The official platform operation interface has been optimized, and key information such as fee details and withdrawal time limit are clearly marked on the rebooking page. Secondary pop-up window confirmation and real-time fee preview functions have been added to guide passengers to standardize operations. Promote the unified change of rules between the railway department and mainstream third-party platforms to ensure synchronized and transparent policies. Establish a rapid handling mechanism for rebooking disputes and promise to respond to passenger complaints within 72 hours and provide feedback on the handling results within 15 working days. The 12306 system was simultaneously upgraded to realize the real-time effect of the withdrawal operation, and an online portal for "Rescheduling Error Appeal" was added to support passengers in uploading certification materials for manual review, improving service convenience.
Lei Maoduan pointed out that optimizing the EMU rebooking service can not only effectively solve the practical pain point of "easy to change but difficult to correct errors" for passengers, and highlight the public welfare attribute of railway passenger transportation, it can also promote the transformation of railway services from "management-oriented" to "demand-oriented", reduce rights disputes from the source, and enhance people's sense of travel gain.
The world is changing faster and faster, but women are becoming more determined.
On March 6, a female travel report released by Qunar Travel showed that in the past year (March 2025-March 2026), the number of women choosing to stay in hotels alone increased significantly by 63% year-on-year, and the number of women traveling alone by plane also increased by 34%. Compared with men, women fly more economically and live more comfortably. The average hotel price paid by women is 20% higher than that of men.
Women on a solo trip don’t need complicated preparations to set off. They only need an air ticket of their own and a hotel room that only they can stay in.
In the past year, the most popular cities for hotel stays and flight destinations were still large cities with both business and travel attributes such as Beijing, Shanghai, Guangzhou and Shenzhen. It is worth mentioning that the number of women choosing to stay in hotels alone increased significantly by 63% year-on-year.
Judging from the increase in hotel check-in cities, in the past year, women on solo trips have turned their attention to niche cities around them. Data shows that in Chongzuo, Weifang, Handan, Puyang, Ziyang, Lishui, Haikou, Putian, Linfen, and Jiuquan, the number of women staying in hotels alone has nearly doubled.
Among the increases in female solo trip routes in 2026, short-distance routes will lead the country. Data shows that in the past year, the fastest growing route was Chengdu-Lijiang. In just one weekend, with a one-way flight of 1.5 hours and a round-trip ticket as low as 600 yuan, the "Chengdu Girl" flew to the romantic Lijiang, driving a nearly 50% year-on-year increase in route ticket volume. The Nanjing-Guangzhou route followed closely, with an increase of more than 40%, becoming a popular choice for cross-city roaming.
In terms of outbound travel, in the past year, the number of women traveling alone by air has also increased by 34% year-on-year. The most popular flight routes are still from first-tier cities to neighboring countries such as Thailand and South Korea, as well as China, Hong Kong and Macao. The TOP10 includes Shanghai-Seoul, Beijing-Seoul, Shanghai-Jeju Island, Hangzhou-Seoul, Qingdao-Seoul, Beijing-Hong Kong, China, Guangzhou-Seoul, Shanghai-Bangkok, Shanghai-Hong Kong, China, and Guangzhou-Bangkok. In terms of growth rate, Yantai-Seoul increased by 1.6 times, Guangzhou-Chiang Mai and Hangzhou-Seoul increased by 1.3 times, Shanghai-Busan increased by 1.2 times, and Tianjin-Seoul increased by 1.2 times.
Jiupai News Reporter Li Yang Li Kai
Editor Wan Xuan Fu Shan
Jacob Becraft, co-founder and CEO of the American biotechnology company Strand Therapeutics, published an article in the Washington Post on the 6th. At the end of the last century, the United States outsourced manufacturing to countries with lower labor costs, such as China, in an attempt to maintain its local innovation leadership while enjoying the dividends of cheap goods. However, behind the short-term economic gains are irreversible long-term losses: the hollowing out of the domestic manufacturing industry, the significant weakening of supply chain resilience, and the loss of millions of jobs, which have also contributed to the rise of foreign competitors. Today, these former "contract factories" can compete with the United States in many industrial fields, or even surpass them.
"Today, the United States is repeating the same mistakes in the field of biotechnology." Beckcraft wrote that more and more American biopharmaceutical companies are choosing to transfer clinical trials to China. They value China's high efficiency and low cost of early medical research.
Data show that from 2010 to 2021, the number of clinical trials conducted by Western companies in China more than tripled. By 2023, the number of interventional clinical trials registered in China has been approximately 50% more than that in the United States.
The most common argument among those supporting this trend is that it doesn't matter where a drug is initially tested in clinical trials, as long as Americans eventually have access to it.
But in the view of Becraft, who has worked in the field of genetic medicine for more than a decade, this view has serious flaws. He believes that early clinical research and development is by no means a low-value link that can be replaced at will. Where trials are conducted determines where professional knowledge is accumulated, where data is generated, and where the next generation of treatments is conceived. “Giving this stage of innovation to China will threaten the scientific strength and national security of the United States.”
Becraft said that outsourcing of early innovation is not inevitable. As long as the United States makes a targeted adjustment to the clinical trial approval policy, the United States can reverse this trend and make new drugs cheaper and more accessible to the American people.
In early-stage drug development, speed and cost are critical. The sooner a company starts testing, the sooner it can verify whether its scientific hypothesis holds true. These key milestones will attract investors and partners, which in turn will bring more investment to early-stage innovators and ultimately provide more treatment options for patients.
Clinical trial center staff use centrifuges to separate blood. IC photo
China realizes this and takes decisive action. The direct costs of trials in China can be as much as 30% lower than in the United States, patient recruitment is faster, and logistical processes are simpler. Behind all this is the decentralized trial approval mechanism at work.
It is worth mentioning that China continues to optimize the review and approval mechanism for clinical trials and significantly shortens the relevant review and approval time limits. China's State Food and Drug Administration previously stated that the average time for clinical trial review of innovative drugs has been shortened from 175 working days in 2017 to 50 working days in 2024.
The article mentioned that China has decentralized trial approval rights to the local ethics review committees of each hospital, which has greatly shortened the time and energy required to conduct early clinical trials. Coincidentally, Australia also adopts a similar model, with the local ethics committee approving the first human trial while maintaining strict supervision. This model does not compromise safety; after all, no one is more motivated to ensure patient safety than the hospital's own review board. As a result, China and Australia have become popular destinations for early-stage clinical trials.
In the United States, no matter what stage or scale a clinical trial is in, it must be reviewed by the U.S. Food and Drug Administration (FDA) before starting. It is undeniable that strict supervision is necessary for late-stage trials aimed at final approval for marketing, but for small first-in-human trials involving only a few dozen patients with no other treatment options, such review has formed a bottleneck, not only driving up research and development costs, but also hindering the progress of innovation. This misunderstanding of delayed approval is transmitted to the entire R&D process, resulting in high drug prices and long R&D cycles.
Becraft warns that outsourcing clinical trials, which may seem harmless at first, risks repeating the same dangerous vicious cycle that manufacturing has fallen into. As early-stage trials flow overseas, so will the biotech infrastructure. Overseas experimental institutions have accumulated experience in conducting cutting-edge research, and the local industry formed around them continues to grow with the advantages of speed and iteration.
As the central bank's digital currency began to recruit troops, a campaign against the currency circle began across the country.
According to rectification notices from Shenzhen, Shanghai, and Beijing, any local Internet companies or exchanges that are engaged in virtual currency activities, including digital currency fund raising, will be deemed to be operating illegally, and the companies will be urged to immediately correct and exit. As of November 22, the official Weibo of two of China's three major digital currency exchanges has been blocked, and one has been filed for review by the court due to customer prosecution.
On the morning of November 22, the progress of the central bank’s digital currency accelerated again, and the Yangtze River Delta Financial Technology Co., Ltd., a subsidiary of the People’s Bank of China, released recruitment information for 2019.
Due to the heavy blows of regulatory authorities in the past three weeks, the regular army may replace the existing currency trading ecosystem. Investors' willingness to hold currency has been significantly reduced, selling has been fierce, and the digital currency market has been bleak. On the evening of November 22, the digital currency market suddenly plummeted across the board. Amid investors' fright, the price of Bitcoin once fell below US$7,000 during the session. The market value of Bitcoin fell by 150 billion yuan in 24 hours, and the decline was close to 30% in the past three weeks.
The crackdown on bandits and arrests in the currency circle may be serious.
If the regular army wants to enter the scene and gain the support and trust of the people, they must first drive away the bandits who are harvesting leeks.
On November 22, the Shanghai Headquarters of the Central Bank of China announced that the Shanghai Financial Stability Joint Conference Office and the Shanghai Headquarters of the People's Bank of China, together with relevant departments at both urban and Shanghai levels, carried out special rectification of virtual currency-related activities in the Shanghai area, ordering problematic companies found during the survey to provide publicity, diversion and other services for virtual currency trading platforms registered overseas to immediately rectify and exit.
On November 22, the official website of the Shenzhen Local Financial Supervision and Administration Bureau announced that the Shenzhen Leading Group Office for Internet Financial Risks and Other Special Rectification Work recently issued a risk reminder on preventing illegal activities of "virtual currency". The notice stated that in response to some phenomena of organizing virtual currency transactions, issuing virtual currencies, raising funds or virtual currency assets such as Bitcoin and Ethereum within the country, the Shenzhen Internet Financial Risks and Other Special Rectification Leading Group Office will investigate and collect evidence for the above illegal activities. Once discovered, it will be dealt with seriously in accordance with the requirements of the "Announcement on Preventing Token Issuance and Financing Risks".
On November 15, under the leadership of the Shanghai Mutual Finance Rectification Office, the Shanghai Joint Financial Stability Office and the Shanghai Headquarters of the People's Bank of China jointly issued the "Notice on Carrying out Rectification and Rectification of Virtual Currency Trading Places" (hereinafter referred to as the "Notice") to carry out the Rectification and Rectification of Virtual Currency Exchanges within their jurisdiction, and complete the investigation and rectification work before November 22.
On November 13, the Beijing Local Financial Supervision Bureau issued the “Risk Warning Regarding Trading Venue Branches Carrying Out Business Activities Without Approval.” According to relevant reports, the "Tips" clearly stated that if branches of out-of-town trading venues (especially financial asset exchanges) carry out business activities in Beijing, it is an illegal operation.
On November 11, the Department of Industry and Information Technology of the Inner Mongolia Autonomous Region issued a notice on a joint inspection of the cleanup and rectification of virtual currency “mining” companies. The inspection period will last from November 11 to November 25, 2019.
It is worth mentioning that the notice of this rectification activity in Shanghai stated that recently, with the promotion of blockchain technology, virtual currency speculation has shown signs of resurgence. In order to prevent a resurgence, according to the relevant deployment of the National Mutual Finance Rectification Office, each district rectification office is requested to conduct a survey and ranking of the three types of virtual currency-related activities within its jurisdiction.
It is reported that the activities included in the scope of rectification include: organizing virtual currency transactions within the country; issuing virtual currencies in the form of "xx coins" and "xx chains" on the grounds of "implementation of blockchain application scenarios" to raise funds or virtual currencies such as Bitcoin and Ethereum; providing publicity, diversion, agency trading and other services for ICO projects and virtual currency trading platforms registered overseas. The "Notice" requires that once Internet companies engaged in the above-mentioned virtual currency-related activities are discovered, the rectification offices of each district in Shanghai should immediately report to the Shanghai Financial Stability Joint Office (Shanghai Local Financial Supervision Bureau) and the Shanghai Headquarters of the Central Bank, and urge the companies to rectify and exit immediately.
Since the end of October, the regulatory level has launched a heavy attack on the currency ecosystem. Who is the core target of this attack?
“It seems like we are going to crack down on digital currencies that raise illegal funds, but in fact the core target of the attack is digital currency exchanges.” The person in charge of a blockchain project in Shenzhen told a reporter from China Brokerage that the core of the chaos in the currency circle is the exchange. For all digital currency projects, if there is no platform, endorsement and publicity provided by the exchange, it will be difficult to cut leeks.
It is the exchanges that really make money in the currency circle. As for various digital currency projects, the income they get from cutting leeks is only a drop in the bucket compared to digital currency exchanges.
On October 30, most of the staff of the Biss exchange were taken away by the police for investigation, mainly on suspicion of fraud and money laundering, including the founder BMAN and BISS employees. It is said that the people taken away also included an intern who had not officially joined the work.
Since BISS Exchange stores a large number of digital currency assets, the exchange itself also issues Villa Coins, a digital currency variety based on the exchange business. After everyone lost contact inexplicably, on the afternoon of October 30, many users belatedly discovered that there was no review of currency withdrawals on the BISS exchange. Users' currency withdrawals prompted a server error, and customer service staff did not respond. Fearing what might have happened, some smarter users immediately began to sell villa coins. That night, the villa coins issued by BISS exchange plummeted by 50% in 15 minutes.
Rectification focus may be on digital currency exchanges
Why digital currency exchanges are the most dangerous part of the industry rectification is because digital currency exchanges are the infrastructure that maintains the operation of the currency circle, and they are also the most capable of cutting leeks. Each exchange is keen to issue its own digital currency. Although securities companies in the A-share market also hope that their companies will issue stocks and go public, this is easy to understand due to the support of licensed businesses. However, digital currency exchanges that do not have domestic license qualifications have more naked intentions in their operations.
Digital currency exchanges issue their own digital currencies. In fact, these copycat teams hope to use their own digital currencies to obtain Bitcoins from users through currency-to-crypto transactions.
Theoretically speaking, Bitcoin may be the only credible asset in the current digital currency field. In other words, the exchange uses the so-called digital currency created by itself and has no scarcity to exchange for the relatively scarce Bitcoin in the hands of users.
High school history textbooks once gave a detailed introduction to the old society's indiscriminate distribution of gold yuan coupons to obtain silver dollars. If the exchange is closed, the digital currency issued by the exchange itself will become worthless. However, by exchanging the Bitcoin in the hands of users, the income has been locked in advance, because Bitcoin assumes the functions of gold and US dollars in the currency circle.
However, BISS is only a smaller exchange after all. Once the regulatory authorities direct their efforts to rectify the currency circle at digital currency exchanges, it means that greater uncertain risks are about to come.
On the evening of November 13, Binance’s official Weibo showed that the account was no longer viewable because it violated laws and regulations and the “Weibo Community Convention.” It is worth noting that when Binance’s official Weibo was blocked, the content displayed in its account and the number of fans were also cleared. Some insiders believe that Binance may have received relatively severe penalties this time.
On the afternoon of November 20, Huobi China’s Weibo account was blocked. This was the second Weibo account to be tricked after Binance’s official Weibo account was blocked on the evening of November 13. Industry insiders pointed out that the blocking of Huobi China’s Weibo account was more serious than the blocking of Binance’s official Weibo account a few days ago, indicating that the regulatory actions launched in Shanghai on November 14 have been extended to the whole country, at least to Beijing.
A digital currency analyst in Shenzhen believes that one of the reasons why Binance was blocked may be that the company openly announced that it would open legal currency transactions. On October 9, Binance announced the launch of OTC fiat currency trading services on the Android version of the app. Shortly thereafter, Binance founder Changpeng Zhao stated on Twitter that users would soon be able to use WeChat and Alipay to purchase cryptocurrencies on the OTC market. After the news was released, Binance Coin issued by Binance Exchange began to rise, with the largest intraday increase of more than 10%. This increase was Binance's largest intraday increase since May 21 this year.
It seems that only OKEX is more compliant? OKEX, an exchange headquartered in Beijing, announced at the end of 2017 that after the regulatory authorities issued an ICO ban, it would stop all RMB-to-Bitcoin transactions and transfer all its business to the overseas site OKEX.
However, not providing legal currency trading services does not mean that there is no cutting of leeks. Brokerage China reporters have obtained multiple videos of investors going to OKEX to defend their rights. OKEX is also considered to be one of the companies with the most records of investor rights protection. Brokerage China reporters also learned on the 21st that OKEX's alleged "misappropriation" of customer funds has been officially filed in the Hangzhou Internet Court recently.
This wave of sweeps by regulatory authorities since the end of October has caused many small and medium-sized investors in the currency circle to begin to consider risk control.
A digital currency investor in Shenzhen told a reporter from Brokerage China that he and some friends have been selling digital currencies one after another since October. The number of digital currency assets held has dropped by half compared to June this year. In particular, the assets stored in some risky digital currency exchanges have been sold out, and he is worried that something will happen.
The digital currency market is bleak
After the heavy blows of regulatory authorities in recent days, the digital currency market has been bleak. On the afternoon of November 22, the digital currency market suddenly plummeted across the board.
Bitcoin plunged 11% intraday on November 22, once falling below 7,000 US dollars, and the circulating market value of Bitcoin also fell below 1 trillion yuan. This was the largest single-day decline for Bitcoin since the regulatory launch of Bitcoin at the end of October this year, and its decline in three weeks was close to 30%.
Trading data shows that on the evening of November 22, the top 100 companies by market capitalization Of the digital currencies, more than half of the currencies have fallen by more than 10% intraday, and more than 90% of the varieties have suffered financial suppression. After the regulatory authorities rectified the currency circle, the OKEX digital currency exchange, which was trapped in the "customer funds gate", also encountered greater market pressure. The OKB issued by it has experienced six consecutive declines. On November 22, the intraday decline reached 15%, and the decline in the past three weeks reached 30%.
The above information means that the regulatory authorities are strongly attacking, or confirm that the regular army is expected to completely replace the existing currency ecosystem, including the three major digital currency exchanges that store a large number of users' funds. Once they fail to obtain operating licenses issued by regulatory authorities, they may face the fate of being banned. The risk appetite of digital currency investors has dropped sharply. As investors' willingness to hold currency has been significantly reduced, the pressure to sell funds has also increased, leading to a collapse in currency prices.
The central bank’s digital currency recruitment staff will have a monthly salary of at least 50,000?
Not long after the regulatory authorities launched a forceful attack, a recruitment message hinted that the currency circle’s anti-bandit operation was preparing for the entry of the regular army.
The Yangtze River Delta Financial Technology Co., Ltd., a subsidiary of the People's Bank of China, recently released recruitment information for 2019. According to the official introduction, the Yangtze River Delta Financial Technology Co., Ltd. is a financial technology company established by the Central Bank's Digital Currency Research Institute and relevant units in Suzhou. It will undertake the construction and stable operation of legal digital currency infrastructure; undertake key technical research and pilot scenario support, supporting R&D and testing of legal digital currency; focus on the cutting-edge directions of financial technology such as blockchain and cryptography.
According to the main recruitment positions of Yangtze River Delta Financial Technology Co., Ltd., they mainly include data center managers, security and cryptography research specialists, senior network engineers, architects (platform, mobile), blockchain technology directors, blockchain architects, blockchain R&D engineers, big data R&D engineers, etc. It is reported that these positions have a minimum monthly salary of 50,000.
It is worth mentioning that at the 2019 China Economy 50 Forum held in Shenzhen, Zhu Min, dean of the National Institute of Financial Research at Tsinghua University, spoke on November 22 and believed that if digital currencies are not issued, central banks of various countries will face great pressure, including pressure from the market. Various cryptocurrencies are currently emerging in the market. Although these cryptocurrencies are not sovereign currencies, they are actually eroding the field of sovereign currencies. The central bank of some small countries is particularly worried that if it does not issue a digital currency, the sovereign currency of the host country is likely to be marginalized.
Huang Yiping, deputy director of the National School of Development at Peking University, believes that mastering the global digital currency will have a great influence on the global payment and monetary system. Not only the central banks of various countries will participate in the competition, but also some less formal non-governmental organizations and institutions. He believes that the People's Bank of China is well prepared for research and is likely to become the first to officially issue a central bank digital currency.
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4. Admission method
1. The admission method of the "Double Excellent Experimental Class": On the premise that the candidate's art (sketch) test reaches 80 points or more (80 points included), the top 100 students will be admitted from high to low according to the total score of their cultural and professional scores. At the same time, the candidate's junior high school graduate academic test scores must reach the minimum admission score for ordinary high school public-funded students in Laoshan District, Guangzhou in 2015 before they can be formally admitted to our school. If the total scores of the last two candidates are the same, they will be admitted based on their scores in the basic art test; if the last three candidates have the same total scores, they will be ranked in descending order by their scores in Chinese, foreign languages, and mathematics.
2. The admission method of the "Art Specialty Class": On the premise that the candidate's art (sketch) test score reaches 70 points or above (including 70 points), admission will be based on the Guangzhou junior high school graduates' academic test scores from high to low.
In principle, it should not be lower than the minimum admission score for public-funded students in ordinary high schools in the third district.
. At the same time, for candidates who do have the potential for art development and have achieved particularly excellent results in our school's art (sketch) test, after reporting to the city's admissions and examination office for approval, their scores will be appropriately reduced for admission. The admission score will not be lower than the average score of the city's high school entrance examination scores.
3. Candidates who apply for the second batch of early admission "Basic Art Class" will be admitted from high to low according to their academic test scores after passing the art entry test. In principle, their academic scores should not be lower than the minimum admission score for public-funded students in ordinary high schools in the third district.
5. Open Day specific time and contact information
April 26, May 9, and May 24, 2015 (open day time: 8:30-12:00 am, 1:00-4:30 pm) are our school’s admission consultation open days.
We welcome junior high school graduates (students with art talents and art potential) to apply for admission to our school. Please come to the school, call or log on to the school website for consultation.
School address: No. 580, Dongfeng East Road, Guangzhou (Bus: Dongfeng Hotel Station, Cemetery West Station; Metro: Martyrs Cemetery Station)
Consultation hotline: 83830377, 83833755, 83838418, 83832911
School website: www.gzmszx.cn
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