<p>Existing reversal online portfolio methods only use historical stock price data for strategy design. However, non-price variables, such as trading volume and investor attention, significantly affect the stock market. Hence, our research uses trading volume and investor attention to study the reversal of the online portfolio strategy. First, we utilize trading volume and investor attention to portray the degree of stock price reversal under different scenarios, and then an evaluation system is established to predict the stock price trend. Second, we allocate investment weights according to the expected value of different assets and design an adaptive <i>online portfolio based on trading volume and investor attention</i> (OLVOLA). Finally, using trading data from the Chinese securities market, we conduct numerical analysis to evaluate OLVOLA’s performance. The results illustrate that our designed strategy can obtain better performance than other related strategies. Furthermore, the proposed strategy can yield higher returns even at a given transaction cost, indicating that the strategy can afford reasonable transaction costs.</p>