Currency analytics
Currency analytics. This section contains up-to-date analytics on the currency market, as well as forecasts for major currencies from the best analysts online at TradingInfo.club.
Foreign exchange market
Currency analytics
Today on the Internet you can find a huge number of various sites and articles providing various information that directly or indirectly relates to currency analysis. 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, it is possible to find high-quality analytical reviews on the currency market in many different places. However, in order 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 forecasts 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 currency market on the basis of technical analysis, the second – fundamental trends in the economy and world finance.
Fundamental analysis takes into account political moods in the behavior of states, the state of their economy in comparison with the economies of other countries, monetary policy, global conjuncture of world financial, stock and 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 using technical indicators).