Analytics of cryptocurrencies
Cryptocurrency analytics. This section contains up-to-date analytics on the cryptocurrency market, as well as forecasts on major cryptocurrencies from the best analysts online at TradingInfo.club website.
Cryptocurrency rates
Analytics of cryptocurrencies
Today in the vastness of the Internet you can find a huge number of all kinds of sites and articles providing various information that directly or indirectly relates to the analysis of cryptocurrencies. Some sites specialize in analytics, others concentrate third-party analytics on their resource, and others use analytical materials as an additional service to the main service. At the same time, the most important question remains: what analytics can be trusted?
In fact, you can find high-quality analytical reviews on the cryptocurrency market in many different places. However, to make sure that the information presented is trustworthy, you will have to either experience the consequences of decisions made on the basis of the analytics studied, or preliminarily monitor the percentage of justified predictions of the authors of publications. Another option is to initially refer to analytical articles on time-tested resources such as tradinginfo.club.
Fundamental and technical analysis
There are two types of analytical forecasts: the first concerns the current assessment of the situation on the cryptocurrency market based on technical analysis, the second – fundamental trends in the economy and global finance.
Fundamental analysis takes into account political sentiment in the behavior of states, the state of their economy compared to the economies of other countries, monetary policy, global conjuncture of world financial, stock, commodity markets. This is the most complex type of analysis.
Technical analysis is based on the study of time series of prices, supply and demand indicators for the past period and can be carried out on the basis of various techniques: graphical (where trend lines and the channel of the prevailing trend, market resistance and support levels are used) and analytical (based on filtering and mathematical approximation of time series with the use of technical indicators).