Researchers have developed new estimators to calculate integrated variance in financial data more efficiently. By considering the timing of high and low values, these estimators outperform traditional methods. The use of this information leads to more accurate estimations of price fluctuations, especially in comparison to existing techniques like the Garman and Klass spot variance estimators. These new estimators are particularly effective for It^o stochastic processes, offering improved ways to analyze financial prices at intermediate frequencies.