Implementation of technical analysis method with fuzzy logic approach: BIST30,BIST100 index type

The increasing interest in the market today has increased the number of shares traded in the Stock Exchange Istanbul. This situation prompted investors to decide from time to time and what price to invest. In this thesis study, technical analysis system and BIST30 and BIST100 data have been tried to be explained with the help of the investors in order to use the technical analysis method with a correct approach. BIST30 and BIST100 data were taken at the application part of the study and they were tested in Bollinger band, RSI, CCI, MACD indicators BIST30 and BIST100 by technical analysis method and the performance of the demonstration was compared with the technical analysis approach which is the technical analysis approach and Bollinger band, RSI, CCI, And BIST100, and the more accurate and systematic use of which indicators have provided accurate and reliable information on investment decisions. The fuzzy logic approach is based on very valuable logic based on Aristotle's two-valued logic approach. However, contrary to classical logic, fuzzy logic may be an assumption that can be true or false, or it can be a value in the meantime. According to the fuzzy mantı, the result is not only black or white, but also the different colors of the blue. In this study, the Bollinger, RSI, CCI, MACD technical indicators from different indicators were subjected to fuzzy logic systems and their outputs were used in the buy-sell and unstable decisions in the stocks in the BIST30 and BIST100 indices. Key words: Technical Analysis, BIST30, BIST100 index data, Fuzzy Logic