Creator of NetCentric: you want to create a decentralized, community-based quantitative trading system.


Quantitative trading identifies replacing artificial subjective wisdom with mathematical models, predicated on data and historical statistics, to lessen the impact of investors’ disposition fluctuations, and to avoid making irrational investment options in the case of extreme fanaticism or pessimism in the market. What investors need to do is to formulate trading strategies, program, educate computers how to do and carry out real-time monitoring, and constantly improve the strategy according to the results.

In recent years, with the quick development of artificial intelligence, by introducing the trading robot into strategy-making, the strategy process and decision-making efficiency have been further optimized.

Nowadays, the development of blockchain provides a new probability for quantitative trading. On the one hand, the rise of digital currency has led to a rise in the demand for digital asset management; on the other hand, the use of blockchain technology will hopefully develop a decentralized, community-based quantitative trading platform and lower the threshold of investment.

After the achieving, Lianwen immediately interviewed Huang Jing, founder and CEO of NetCentric, to further understand the situation and development direction of the project.

Huang Jing, post-70s. Expert of Technology in Informatics and Management from the London School of Economics. After returning to China, he has been engaged in Internet software development. Used to be the CEO of Jili Information. Has provided software services for a number of global top 500 companies. Then gradually come into contact with Fintech-like projects. In 2016, Huang Jing, Mo Yang and Yang Hanchao jointly started NetCentric, to build a decentralized, community-based digital asset trading platform.

Question interaction.

Q = Blockemist ChainNews.
A = Huang Jing, CEO, founder of NetCentric.

Q: when was the team formed? Since when did you speak to digital money?

A: the team was formed in 2016. A couple of three people at the primary of the team: me (Huang Jing), Mo Yang and Yang Hanchao. Moyang and I are children. All of them are post-70s. After returning from the united kingdom, Mo Yang and I have already been focusing on software and Internet tasks, and then steadily came into connection with some Fintech tasks. Later, we fulfilled Yang Hanchao through the task.

In 2016, the team started to develop some quantitative trading systems. In those days, the system mainly centered on the US currency markets and the A currency markets. In this technique, we touch the technical development of blockchain, and we question whether we can put the initial model in to the application of digital money market.

In 2017, we started to modify the model, and based on the results of the adjusted model, we manually did some trading operations to verify the model. It turns out that the experiment is quite successful.

At the end of 2017, we began to make some adjustments to the original platform and mathematical model systematically. Now the platform has basically been adjusted. We officially built a quantitative trading platform for virtual currency: NetCentric.

Q: can you tell me something about the process and experience of NetCentric joining the standard capital incubation program? Also evaluate the accelerated service of standard capital?

A: we were supposed to do some services for the institutional team in New York and the United States. Later, through the project contact, Standard Capital learned that we could not only do services, but also develop our own platform, so we were very interested in us and invited us to join their incubation program.

We think that Standard Capital is a very professional accelerator. Standard Capital provides us with assistance, including services such as legal, institutional entity registration, etc., throughout the incubation of the project. Their experience will also provide a lot of help to our project design and business model structure design. Standard capital also offers a much better understanding of the entire wind path of the stop chain, which will make our path and goal more clear. Let’s increase the complete process and steer clear of detours.

At what stage is Q:NetCentric fundraising now?

A: standard Capital has committed to our cornerstone wheel by means of token. In mid-August, Fireplace Coin Ecology also committed to us strategically, making an collateral investment. They are both companies which have plainly agreed upon the proper investment.

The precise fund-raising plan continues to be being adjusted. At present, the angel rotation is almost done, and the next round will mainly be the private fundraising round.

In the future, we will also make an airdrop for the target users.

What are the characteristics of the Q:NetCentric model?

A: this is a project that can strike a balance between B-end and C-side customers. Our inherent financial team will do a quantitative transaction planning, put on the platform, so that customers, whether B-end or C-end users, can purchase and rent our strategy, and then conduct some investment and currency transactions.

At the next stage, some third-party people will be allowed to upload their strategies. After their strategy is uploaded to our platform, we will have a series of assessments to do risk assessment. If the evaluation meets our requirements, it will be released to our platform.

What we need to do is a high-end customer platform. Whether it is the exchange or the project side, we will strictly control the quality. May also create a self-owned finance, through artificial cleverness strategies, acquire lots of effective investment strategies, to determine an AI Fintech system.

What are the primary requirements addressed by Q:NetCentric? How to solve the needs of different people?

A: quantifying transactions requires two characteristics: one is a good financial background, and the second is to be able to form a mathematical model of traditional financial transactions through mathematical modeling, so it is essential to have good programming ability. This model can be implemented through software development. Finally, through the procedural transaction, to replace the traditional transaction.

It turns out that the threshold for quantitative trading is very high. We hope to build a platform where people with computer development ability can focus on developing programs, and people with financial background can call programs and focus on strategy-making.

Our first batch of target users should have investors with financial background, so that investors on our platform, through the combination of different operations, to build an automatic robot, through the robot to achieve quantitative transactions.

After these people come in, our second group of target users are people who are thinking about quantitative trading, but with relatively weak financial background or coding skills, or relatively junior investors. This group of individuals may use the strategy of the first group of individuals to lease their technique to invest.

Third, when the system has a certain variety of traders, financiers can merge different robots to determine a “fund-like model”, and other investors can also directly invest in these “funds” or follow. Of course, these funds have capacity limits. In traditional financial markets, some small institutions and individuals usually lack financing channels. In the future, they can demonstrate their strategic ability on our platform, raise money through this “fund” model, and earn management fees and commissions. If the strategy is good enough, the platform can give them some money. This will lower the threshold for investment. At the same time, they can make a profit by selling or renting out their trading robots.

Finally, we are also for investors who are good at programming. He may be weaker in finance, but our platform has packaged financial models and processes into basic platform modules that allow programmers to invoke, filtration system and integrate straight. Programmers can further develop more advanced modules based on our basic modules to optimize the trading program.

In this way, we have created a complete, decentralized quantitative transaction economic ecology. Different skills can play a role on the platform and meet the needs of all kinds of investors at the same time.

How is the economic system of Q:Token and platform designed?

A: we have a net power system of our own. Every user of the platform, holding our token, to participate in the production and use of our robots, will get our online power, with different Power skills to participate in different investment behaviors. The investment behavior needs to be paid, and when the purchase strategy is made, the user must pay token. For the most privileged users, we gives some token, reviews to them, because they’re good plan or program providers.

The appreciation of Token is dependant on the gains of our strategy itself. Because each strategy has its capacity, we might use competitive rank to look for the to use the strategy. The greater profitable the strategy is, the greater Token investment will be seduced, so that traders may use better ways of make higher revenue. Then he’ll further spend more token to buy a much better strategy. Such a cycle can boost the value of token itself.

Q: how is the difference between Q. and other competitive teams reflected? What are the advantages?

A: our business model differs from many existing quantitative trading teams. At present, most quantitative trading teams serve the B part, do market value management, or setup a currency-based quantitative trading account, and then go outside to raise funds to ensure a certain annualized income. What we do is a platform.

NetCentric is an interpersonal, decentralized platform, not simply a service or fund management company. Upon this system, individuals will not only find investment opportunities, but also allow establishments to create funds. Not only can you use your own strategy, but also find other excellent strategies on the system. What we should are doing is a fresh quantitative ecological model.

Comparable to ours, there might not be any in neuro-scientific virtual currency at the moment. In the original quantitative trading market, there’s a Quantopian, in america that is relatively near to our model. Local snowballs are also similar.

Our quantity is small, the stop string industry itself is developing and changing rapidly, and small groups may become more adapted to the changes on the market. At the same time, we has excellent educational history and working experience, and most of us in to the block chain Fintech. Finally, I also hope to have some advantages of the forerunner.

Q: how will you view the existing bear market? So how exactly does the team intend to react?

A: there are way too many blockchain bubbles and lots of money and resources are wasted. A number of the money that proceeded to go in before have been completely gathered. When money is necessary for many tasks, they’ll sell their cash. Traditional finance institutions will also reshuffle the marketplace if indeed they want to enter the marketplace. Therefore, it could be regarded as a stage of squeezing bubbles at the moment.

Actually, a bear market may also be a very important thing. However the short-term market will be relatively deserted, it will allow people who really do blockchain to focus on technology development without having to face a lot of temptations in the secondary market.

Q: what are the next goals of the team?

The main goal this year is to create the whole platform and start to try it out. At the same time, we will invite organizations and professional users to start logging on to our platform, call some modules, enter guidelines, and be able to control his various robots and make quantitative purchases. We will gradually complete the API docking of various exchanges so that our robots can place orders for users directly on the platform.

Next, we wish that following the complete beta version of the system is completed, the system will be officially launched early next yr. In the first quarter, the first batch of users are mainly in financing; in the next and 1 / 3 quarters, customers of all sorts of ordinary traders are little by little drawn to our system. We try to have 50,000 energetic users of the system by the finish of next yr.