Brief introduction of virtual currency and examples

1. For example, the game currency used in online games, in fact, is recharged with real currency, or the game reward (game equipment or level) you get for spending a lot of time and energy in the game. In a sense, it condenses your labor and forms the income of labor, so when others violate your virtual currency in the game, That is, it constitutes a crime
in the form of game fraud, game account theft, etc

2. bitcoin is the number one, because bitcoin is open source, so many of them its core technology and change its name

3. The people's Bank of China will not recognize the legitimacy of the Chinese currency in the near future
RMB is the legal tender symbol of the mainland of the people's Republic of China. The people's Bank of China is the national authority in charge of the management of RMB, which is responsible for the design, printing and issuance of RMB. Since its establishment on December 1, 1948, the people's Bank of China has issued five sets of RMB, forming a multi variety and multi series monetary system including paper currency and metal currency, ordinary commemorative currency and precious metal commemorative currency.

4. In the fire coin network, you can't directly exchange ribo coin for bitcoin.

5. Market supply and demand determine the price of graphics card, but virtual currency has little effect. The number of buyers, the size of the factory's proctivity, the rising labor costs of the graphics card factory, and the rising prices of the raw materials of the graphics card will all affect the price of the graphics card
when the supply of the graphics card exceeds the demand, there are more buyers, and the seller's goods are not enough, the price will only rise
only when the goods exceed the demand and the graphics cards are piled up and can't be sold, the price will be reced

6. Yes, but the miner is not easy to operate!

7.

WIND data is provided by Chinese mainland financial data, information and software service enterprises Wind financial information provided by financial and economic data. Wind information has a large-scale financial engineering and financial data warehouse with financial securities data as the core. The data content covers stocks, funds, bonds, foreign exchange, insurance, futures, financial derivatives, spot trading, macroeconomic, financial news and other fields

extended data:

according to the needs of different types of customers in the financial instry, such as investment institutions, research institutions, academic institutions, regulatory agencies, wind information has developed a series of professional analysis software and application tools in the fields of information retrieval, data extraction and analysis, portfolio management application, etc. Through these terminal tools, users can obtain financial data, information and various analysis results from wind information

in the domestic market, wind information's customers are mainly Chinese securities companies, fund management companies, insurance companies, banks, investment companies and other financial enterprises. At the same time, most well-known domestic financial academic research institutions and authoritative regulatory agencies are also its customers. A large number of Chinese and English media, research reports, academic papers and so on often cite the data provided by wind information

8.

There are three differences between high frequency trading and Quantitative Trading:

1. The overview of the two is different:

1

2. Overview of Quantitative Trading: it refers to a variety of "high probability" events that can bring excess returns from huge historical data by using computer technology to replace human subjective judgment with advanced mathematical models to formulate strategies

Second, they have different functions:

1. The function of high-frequency trading: the speed of this kind of trading is so fast that some trading institutions place their "server group" close to the computer of the exchange, so as to shorten the distance that trading orders travel at the speed of light through optical cables

2. The role of Quantitative Trading: it greatly reces the impact of investor sentiment fluctuations and avoids making irrational investment decisions when the market is extremely fanatical or pessimistic

(1) high frequency transactions are programmed transactions automatically completed by computer

(2) the trading volume of HFT is huge

(3) the position time of high frequency trading is very short, and there are many trading times in the day

(4) the yield of each transaction is very low, but the overall yield is stable

(1) discipline. The decision is made according to the running results of the model, not by feeling. Discipline can not only restrain the weakness of greed, fear and fluke in human nature, but also overcome cognitive bias and can be tracked

(2) systematic. The concrete performance is "three many". First, there are multi-level models, including three levels of asset allocation, instry selection and selection of specific assets; Second, the core idea of quantitative investment includes macro cycle, market structure, valuation, growth, profit quality, analysts' profit forecast, market sentiment and so on; The third is multi data, that is, the processing of massive data

(3) arbitrage thought. Through comprehensive and systematic scanning, quantitative investment can capture the opportunities brought about by wrong pricing and wrong valuation, so as to find the valuation depression, and make profits by buying undervalued assets and selling overvalued assets

(4) probability wins. First, quantitative investment continuously excavates and utilizes the laws that are expected to repeat from historical data; The second is to rely on the combination of assets to win, rather than a single asset to win

9. You go to search the "data of hundreds of millions" to provide real-time market data for quantitative traders.