Provide a model for recognizing the return points of capital markets using technical analysis based on fuzzy logic

The price movement strategy is more about finding return levels and ranges. These ranges can be the return of trend correction or market return due to the end of the trend or the return of the market from the floor or ceiling of the oscillation range. , is. In terms of its objectives, the present study is an applied research, which means that it seeks to gain the necessary knowledge to determine the means by which stakeholders need to consider very important points, including identifying turning points in purchasing decisions and Sales are crucial, get rid of them. Also, since we seek to find relationships between variables in order to identify return points and evaluate the impact of their changes on the overall result, this study in terms of how to do it; It will be a causal or experimental research. Also in terms of data type, it will be a research with little data. Also, from the point of view of implementation time, it is a cross-sectional research followed by futurism. In this research, fuzzy logic and genetic algorithm were used to provide a method for identifying return points in financial markets. For this purpose, a mamdani fuzzy system has been used. . After implementing the proposed structure, the evaluation of the optimized membership functions was performed in order to ensure that these functions are in line with the desired research (determination of return points).