In the world of trading, there is always a search for new ways to gain an edge over other traders. As a result, traders employ various methods of time series analysis and strategies. By analyzing time series, we can forecast the value of a time series, which can assist in decision-making within a trading strategy. In this master's thesis, we used visibility graphs for time series analysis, which is a connection between time series analysis and graph analysis. We presented both existing and new approaches to time series forecasting. Some approaches were more successful than the existing ones, while others were less so. With the help of visibility graphs, we also introduced several indicators and strategies that use these indicators for trading. The strategies were highly successful relative to the buy-and-hold strategy, as well as according to other metrics, such as the Sharpe ratio. One of the strategies earned approximately four times more compared to the buy-and-hold strategy, while also maintaining lower volatility and a better Sharpe ratio, which was 0.8.
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