There is no suitable analysis for the novice and another may not be suitable, but there are a number of technical analyses and economic or fundamental analyses. Anyone who wants to work in forex can look at this analysis and choose and prefer one or more of them to be his way of trading.

Some traders prefer wave analysis, which is one of the most difficult but most accurate types of analysis, while others believe that the analysis of supply and demand, which is the easiest type is the best for them and makes a profit through it.

There are different kinds of analysis that one can engage in. At first it is normal to feel a bit at a loss, but being a beginner does not mean that you cannot get a grasp of it. It is normal to feel a bit overwhelmed and it may take time. It is a good idea to start slowly, research a lot and try to gain a better understanding of how you can go about your analysis. There are tools which could help and some indicators may be more straightforward to understand than others.

For beginners in any field, understanding fundamental types of analysis is crucial. In the context of financial markets, technical analysis is a suitable starting point. This method involves studying price charts and patterns to predict future price movements. Basic indicators like moving averages and support/resistance levels are accessible for beginners and help identify potential entry and exit points.

Another beginner-friendly analysis is fundamental analysis, which involves evaluating a financial asset's intrinsic value based on economic indicators, company financials, and industry trends. For those interested in shorter-term trading, sentiment analysis is valuable. Monitoring market sentiment through news, social media, or sentiment indicators can provide insights into the overall market mood.

Combining these analyses offers a comprehensive approach for beginners. Starting with basic technical and fundamental analysis, supplemented by sentiment analysis, provides a solid foundation for understanding and navigating the complexities of financial markets.