There is a well known approach to annualize volatility of log-returns for a given frequency. Let P(t)P(t) a price process and define a log return rl(t)r_l(t) as rl(t)=ln(P(t)P(t1)).r_l(t) = \ln \left( \frac{P(t)}{P(t-1)} \right). An aggregate return over nn periods is \begin{equation} \begin{aligned} r_l^A(t) &= \ln \left( \frac{P(t)}{P(t-n)} \right) \\ &= \sum_{t-n+1}^t r_l(i). \end{aligned} \end{equation} Let σl2\sigma_l^2 denote variance of log-returns. Then, variance of an aggregate return is $$ \