The modern economic environment recognizes futures markets as one of the most important economic pillars and pillars of the entire international trade. Their importance is particularly manifested in the positive influence on the economic and economic, as well as political, social and cultural development of modern society. Precisely because of the continuous development of their importance over time, numerous analyses, methods and tools have been established that enable predictions of value movements on futures markets, which can be used to make decisions about entering or exiting the market. In this paper, a technical analysis of price movements on the futures market was carried out using the example of palladium. Palladium was chosen because of the continuous growth of its value and wide applicability in the modern economy, especially in the automotive industry and other important industries. The aim of the paper is to explain, determine and establish a technical approach to investments through the display and explanation of indicators used in technical analysis, for example the price of palladium, such as MA, MACD line, Bollinger limits and RSI index. To carry out technical analysis of palladium price movements, daily, monthly and annual levels were selected, which were individually analyzed and presented graphically and textually interpreted. After carrying out technical analysis for selected periods, it turned out that Bollinger limits are the most reliable indicator with the highest level of accuracy in predicting the movement of palladium price, while the least reliable indicators are RSI and MA. Equally, it was shown that the differences in the predictions are manifested depending on whether it is a reversal of the price to an increase or a reversal of the price to a decrease and the period for which it is observed. The author concludes that investors and traders in futures markets, when it comes to investing in palladium, should take into account knowledge about the most valuable, that is, the most reliable indicators of technical analysis, as this research shows.