Separation of geochemical anomalies from background is a fundamental topic in the field of geochemical exploration. Fractal and multifractal modeling of geochemical data are among these methods and have been used by many geoscientists for more than two decades. In this study, fractal methods, consisting of concentration–area (C–A), concentration–perimeter (C–P), number–size (N–S), Spectrum-Area (S-A), and Concentration-distance (C-D) methods were applied to identify geochemical anomalies in 317 stream sediment samples from Kamoshgaran region, Kurdestan province, north- west of Iran. Implementation of fractal methods showed that southwestern, eastern, and central parts of Kamoshgaran region were the most important parts and future detailed exploration. Also, a good relationship was found between alteration units and anomalous areas using fractal methods. Maps of the anomalies revealed that As, Cu, and Mo anomalies were simultaneously located in the eastern part of the studied area and corresponded to Au anomalies. From this point of view, it can be said that the studied area could be very important for Au mineralization and its eastern part can be the target of future exploration.