providing the optimal model for stock selection based on momentum, reverse and hybrid trading strategies

Momentum strategy, despite its outstanding performance, offers different results at different time intervals. in this study, we aimed to provide an opti-mal model for stock selection based on momentum, reverse and hybrid trad-ing strategies using the data panel model. the present research method was applied on the information of 180 companies in the period 2011 to 2021 was used to estimate the model. (eviews12) software has been used to estimate the models. based on the results of 8 time periods of 3, 6, 9, 12, 24, 36, 48 and 60 months based on different momentum and inverse strategies and a combination of loser, winner and loser-winner, winner-loser were analyzed. according to the data panel method, the studied strategies in small companies give more additional returns to investors than large companies. also, based on the results of hybrid strategies, investors will receive more additional returns in the long run than simple momentum strategies.