Mathematical modeling of blockchain
At present, whether a digital currency is a valuable currency basically belongs to the "angel wheel" stage. There are three criteria to determine whether a digital currency is a valuable currency: one is the team, the other is the economic model, and the third is the instry demand
The randomness of theteam is too great, so we will not discuss it here. This paper first makes a detailed analysis of the economic model of digital currency. In the following article, the author will analyze some digital currencies according to different instries
Strictly speaking, the economic model involved in this paper is not completely equivalent to the concept described in economics. Especially in digital currency, currency consensus mechanism and incentive mechanism Consensus mechanism is the strategy and method for each node in the blockchain system to reach an agreement, which should be selected flexibly according to the different types of system and application scenarioscommon consensus mechanisms include pow, POS, dpos, pbft (and its variants), etc. In addition, based on the different application scenarios of blockchain technology and the characteristics of various consensus mechanisms, this paper evaluates the technical level of various consensus mechanisms according to the following dimensions:
A) compliance supervision: whether super permission nodes are supported to supervise the nodes and data of the whole network
b) performance efficiency: the efficiency of reaching a consensus and being confirmed
Resource consumption: CPU, network input and output, storage and other computer resources consumed in the process of consensusd) fault tolerance: the ability to prevent attacks and fraud
1 instry background
looking for Instry pain points: asset management needs professional team and knowledge, but now most digital currency investors do not have it; The fluctuation of digital money market is huge, and investors can't keep the value of assets in the falling market
2 own advantages
in the stock and futures markets for many years, has a mature and high-quality asset management team; AI big data team has strong technical strength
3 Market Research
after market research, it is estimated that the market value of asset management will be about US $1 billion in the next five years
4 total amount of digital currency
after considering the expected asset management market value, development cycle and difficulty, we will consider issuing 2 billion pieces of XT based on Ethereum erc20 digital currency, and never issue additional ones
5 allocation method
early stage investors hold 10%, teams hold 20%, business operation 10%, community construction 10%, and investors hold 50%
6 digital currency release / repo mechanism
the release mechanism can be divided into three categories:
the first category: the money holding part of business operation is fully unlocked, and the purpose is limited to business and operation activities
the second type: the release mechanism of community construction is that community members release exclusive information, cooperation platform release exclusive project progress and so on. According to the number of participating IDS, the corresponding proportion of XT is released (publishers and participants get 50% each) until all the releases are completed (after the release, the follow-up reward comes from the platform profit pool)
the third category: investors hold the mainstream digital currency, conct asset management in the platform, release a certain amount of XT according to the exchange ratio, and the early investors and the team hold part of it synchronously and unlock it according to the proportion
the repo mechanism is: 50% of the profit (in XT) will be returned to the holder; The rest goes into the platform profit pool, and 50% of XT in the profit pool is destroyed monthly until the total number of XT is 1 billion; The rest will be used as platform ecological construction fund
7 digital currency equity
profit sharing: holding XT is for platform users, and they can enjoy 50% of platform profits
platform Governance: participating in platform activities, enjoying XT awards and airdrop activities of other project parties
function customization: Based on platform AI big data, investors can purchase services optimized for indivial trading strategies
1. What is the Internet of things
in fact, in a simple way, big data is to assist decision-making by analyzing and mining a full amount of non sampling data
the characteristics of big data
big data refers to the massive, high growth rate and diversified information capital that needs new data processing mode to collect, store, manage and analyze its content for the purpose of serving decision-making
big data has the following essential characteristics:
1. The fundamental purpose is to serve decision-making. Big data can help all kinds of organizations and indivials greatly improve their decision-making ability and make better decisions and judgments
Big data usually refers to the amount of data above 100t, which is difficult to be calculated effectively by traditional calculation methods, but must rely on new calculation methods and data mining tools3. High frequency, big data is the data generated by user participation and interaction, according to the user's network traces to timely understand the user's relevant data, this kind of data is high-frequency data calculated by day or even hour. But the traditional data frequency is very low, many data are calculated by month or even by year
Big data is real-time data and can react in real time. For example, entering a keyword in the web search box can instantly present it, while the traditional data collection method is seriously lagging behind5. Always online. Online is the precondition of big data. From this point of view, big data is always online and can be called at any time. By analyzing the traces of users on various network terminals, big data can better analyze users' behaviors, emotions, thoughts, hobbies and needs, so as to make better decisions and analysis
three key points of big data
first, the availability of data. At present, in China, the development of big data is seriously constrained by the lack of publicity of government information, a lot of data is difficult to obtain, leading to the difficulty of real big data mining and analysis, which requires the government to open more data in time to improve the availability of data
Secondly, the scientific model construction. The scientific nature of the model directly determines the quality of data analysis, which requires a high level of modeling, of course, the more data is concive to the reasonable construction of the modelThird, use experts to refine opinions. The original and high-quality viewpoint based on data mining, which provides the basis for decision-making, highly relies on high-quality data interpretation, which reflects the value of instry experts
provided by IOT media
to practice guitar: most of them are basswood panels, some even basswood back panels, which are less than 300 yuan, also known as firesticks (because they are made of the same material as firewood, and the intonation is poor)
entry guitar: most of them are spruce panels, rosewood finger boards, and the back panels are not necessarily. The price is about 1000 yuan, and most of them are 500 yuan or 600 yuan, About 1000 yuan, there are also some elementary Miandan Qin
medium Guitar: most of them are spruce panel, rosewood fingerboard, back side panel, mahogany and fire rosewood. Generally, they are middle end single piano of various series, and some of them are full single (very few), with the price around 3000
high end: all single guitars and spruce veneers are the most popular. The price is four or five thousand or more. There is no upper limit. There are tens of thousands of them, but most people don't need them
tips on guitar selection: http://www.jitatang.com/guitar It is recommended to refer to
no matter where you buy it, you should know some experience to avoid being trapped. Generally, you will be trapped when you go to a piano shop for the first time. The most important two points (you can't hear the timbre and so on):
1. Look at the appearance and choose the log color or black directly Sunset color (the classic three color system), never white, Pink Guitar, that is the above said practice piano grade
2. Check the handle. When the guitar is tuned to the standard pitch, the distance between the string and the fingerboard should be about 3mm (that is, the thickness of a coin) at the 12th point. If you press the string too high, you will feel tired, otherwise it will cause the phenomenon of playing. A good hand feeling is that you can easily press any tone with your left finger without any proct or noise, and you don't feel any effort when you press it horizontally
3. Performance (in fact, you can't see it. You can get what you pay for. It's right to choose the most expensive one in your budget.)
protocol layer
the so-called protocol layer refers to the lowest level technology. This level is usually a complete blockchain proct, similar to the operating system of our computer. It maintains network nodes and only provides API for calling. Usually, the government will provide a simple client (commonly known as wallet). The function of this client wallet is also very simple. It can only establish address, verify signature, transfer payment, check balance, etc
extension layer
this layer is similar to the computer driver, which is to make blockchain procts more practical
application layer
this layer is similar to all kinds of software programs in computers. It is a proct that ordinary people can really use directly, and it can also be understood as the browser of B / S architecture procts. The application of this level is almost blank at present.
stock quantitative investment model is mainly divided into two parts: risk model and multi factor stock selection model, which are used to control risk and improve returns respectively. Instry, market value and style factors are included in the risk model. The instry is not biased, market value is not biased, and style takes into account both long-term and short-term. Based on the risk model, the multi factor model covers seven categories of screening factors, including emotion, momentum, quality, valuation and other factors, as well as big data investment factors
indeed, to make a quantitative strategy, you must have a clear understanding of some basic indicators (factors). Take the fundamentals you mentioned, such as the price earnings ratio (PE). The higher the PE, the higher the valuation of the stock, and the higher the risk after buying; The lower the PE is, the more undervalued the stock valuation is and the greater the chance of rising after buying. Therefore, we can simply get a quantitative strategy of low PE, of course, this single factor strategy has great limitations, when we really do the strategy, we need to combine other factors, so that the back test results of the strategy will be more ideal, and the actual winning rate will be greater
if you are just an ordinary retail investor and want to adopt the quantitative trading system in future trading, it is necessary to learn it systematically.
there are still some
[many people agree with the answers to survey questions]
[many people agree with the answers to Internet]
[many people agree with the answers to literature]
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