Economic Calendar

Navigating the dynamic landscape of forex trading requires a nuanced understanding of various factors that shape market dynamics. At the forefront of these influences is market sentiment, a powerful force that encapsulates the collective mood and perception of traders, investors, and analysts. In this article, we delve into the intricate world of market sentiment, exploring its definition, types, and the profound impact it has on the forex market.

In financial markets, understanding the diverse nature of stocks is paramount for investors seeking to navigate the complexities of investment strategies. Among the two major categories are cyclical and non-cyclical stocks, each presenting unique characteristics and considerations. This article delves into the essence of cyclical stocks, exploring their ties to economic cycles and the inherent advantages and risks they bring to investors.

Key events:

Probably every trader or investor has been caught in what is known as a market bubble. But it is only one of the many phases of the market. To avoid falling into this trap in the future, you must clearly understand the cyclic nature of the market, understand its characteristics and be able to analyze further price behavior. If you have technical analysis skills and knowledge about cycles you can detect the appearance of bubbles in time and avoid them.

Key events:         UK – Composite PMI (Feb) UK – Services PMI (Feb) USA – ISM Non-Manufacturing PMI (Feb) The U.S. stock market ended February uncertain, leaving investors questioning whether the rally seen earlier this year will continue. After a strong January, the Dow Jones Industrial Average fell 4.2% in February. For the rest of the year, the blue-chip index shows a decline of 1.5%.

Most traders and experienced investors use technical analysis tools – indicators – in their work on the stock market. What are their differences, what are they for, and which indicator is better to use?   What are Indicators, and Why Do We Need Them? Technical analysis is based on Charles Dow's postulate that "the price discounts everything", including expectations of future events. Accordingly, it is enough to find an appropriate mathematical algorithm for price data processing to predict the behavior of securities quotes.