Mapping virtual currency
Digital money is legal
digital currency itself is legal in China. Digital currency is defined as Internet goods in China, but the relevant supervision is still blank, and digital currency is still in the gray area in China. Well known digital currencies include bitcoin, Leyte coin, Ruitai coin, thousand gold card, dog coin, etc
however, there are also some non developers who use the cover of digital currency to carry out pyramid schemes, such as the Vicat scheme, treasure scheme, Porter scheme and so on
development materials:
digital currency is different from the virtual currency in the virtual world, because it can be used for real goods and services transactions, not limited to online games. The early digital currency (digital gold currency) is a form of electronic currency named after the weight of gold. Today's digital currency, such as bitcoin, lightcoin and ppcoin, is an electronic currency created, issued and circulated by check sum cryptography. It is characterized by the use of P2P peer-to-peer network technology to issue, manage and circulate currency. In theory, it avoids bureaucratic examination and approval, so that everyone has the right to issue currency
No, the general big exchanges will do the mapping for you. EOS can be understood as enterprise operation system, which is a blockchain operating system designed for commercial distributed applications. EOS is a new blockchain architecture, which aims to extend the performance of distributed applications. Note that it is not a currency like bitcoin and Ethereum, but a token based on the EOS software project, known as blockchain 3.0
extended information:
previously, e to the super node election campaign of EOS, almost the whole currency circle participated in it: exchanges, mining pools, big V came in droves, and even the well-known overseas "Wenzhou Gang" also ran with billions of assets, which once pushed the price of EOS up. Non trumpet data show that in the middle and late March, EOS was in a low hovering period. On March 19, the price was only US $4.02, and the total market value of EOS was US $3 billion
in April, more teams and indivials continue to pour into the annual drama of the currency circle. On April 11, antpool ant mine announced to join. On April 20, baoerye arrived. On April 24, bitfinex and huocoin mine also announced to join the super node election. For a while, EOS has formed a strong momentum, boosting the price up all the way. By April 30, the price of EOS has increased to US $20.05, with a market value of US $16.5 billion
in May, the situation began to change, consistent with the downturn of digital currency market, and EOS also started a downward trend. By May 31, the price of EOS had fallen to a small bottom of only $11.94. In the following week, as the original date of main online line, June 8, approached, the price of EOS bucked the trend and rose to $14.29 on that day
unexpectedly, on June 8, e to the negative vote of one third of the participating nodes, the main network was not successfully launched, so it had to be postponed. On June 10, it was launched again, but failed again because the online voting rate was only 1.77%, which did not reach the 15% voting rate required by the main network
this situation quickly transmitted to the market price. Within a few days, the price of EOS went down again, from US $14 to US $13 and US $11. On June 14, the price of EOS "broke through ten" and fell to US $9.68. As of June 28, the price of EOS had dropped nearly 60%
2. The real virtual currency must be traded on the international trading platform and can be realized
3. The real virtual currency has open source code! Have your own independent wallet! Each coin has its own code and value
4. Real virtual currency can be mined by mining machine! It has its own specific algorithm
5. Real virtual currency can be exchanged with bitcoin and US dollar
6. Real virtual currencies can be exchanged!
however, the current EOS is based on the token issued by the ETH main network. When the EOS main network is connected, the EOS token based on the ETH address is "transferred" to the EOS main network address through a mechanism. This process is mapping.
the automatic mapping process of fire coin global is convenient, fast and safe, which solves users' worries and gives users the most relaxed and assured mapping experience.
Quantify the similarity between cryptocurrencies
data collection
cryptocurrencies have a large number of indicators, such as daily trading volume, daily volatility, number of twitter fans, etc. In this study, we will focus on social media and community development indicators. We will collect relevant data on the attention and interaction of major social media, including twitter, telegram, etc. At the same time, we will also track the number of development community activities, such as fork, star, issue, etc. In total, we collected about 20 different indicators
definition of similarity
because the indexes of cryptocurrency we are concerned about are different types (the mixture of discrete and numerical data with different distributions) and of different importance, we can not simply use some conventional distance measurements (such as Euclidean distance) used in linear space to derive the similarity. Simple ranging may distort the true relative importance of these features
Therefore, we use random forest embedding method. This method can effectively map the original heterogeneous data to a very high-dimensional sparse representation. If two data points are very similar in the original feature space, they tend to be classified into the same leaf nodes in each random tree, so that their sparse binary vectors have very short Hamming distance. Therefore, we can simply calculate the inner proct between two sparse vectors in the high-dimensional space transformed into homogeneous features, and take it as a measure of similaritycreate similarity matrix
in this example, we collect data from more than n = 4200 different cryptocurrencies and expand the 20-d space to 11000-d space. As shown in the figure below, this n × N-similarity matrix defines a high-dimensional graph. The stronger the similarity between two currencies, the thicker the edges between them. To reveal the structure of the graph, we embed the 4200-d graph into the 2-D space to analyze and visualize the relationship between all currencies. Therefore, we can further analyze which currencies are closer to high-quality currencies such as bitcoin