Sentence examples for identifying extremes from inspiring English sources

Great investment opportunities come from identifying extremes.

The Elliot wave analyzes financial market cycles and forecasts market trends by identifying extremes in investor psychology, price highs and lows, and other factors.

This view is based on the Elliott Waves theory, a form of technical analysis used by traders to analyze financial market cycles and forecast market trends by identifying extremes in investor psychology, highs and lows in prices and other factors.

These methods are based on first identifying extreme environmental conditions with a given probability of exceedance based on the relevant joint distribution function.

The continuous monitoring is an essential tool for understanding long term changes of such a dynamic system but is critical for identifying extreme events occurring rarely and rapidly, possibly having a drastic effect on fauna and flora.

Despite challenges imparted by identifying extreme locus and allelic heterogeneity, initial efforts at characterizing the underlying mechanisms of ASD have shown a surprising degree of convergence with regard to molecular mechanisms, anatomical regions, and developmental epochs.

In the context of identifying extreme authors within virtual communities such as web forums, manual analysis techniques are difficult and time-consuming to use.

One team's research focused on identifying genes that are more likely to be influenced by pain and opioid addiction and the other focused on identifying extreme weather patterns from high-resolution climate simulations.

Although the WW preprocessing step consumes more time and memory than MS preprocessing, the time and memory efficiency of identifying extreme pathways during the WW algorithm is dramatically better.

In order to test different elements of the PT, we aim at identifying extreme cases that would present variation in term of managerial practices, organisational context, characteristics of individuals, availability of resources and volunteer behaviour.

We controlled for multiple comparisons by setting the p-value at 10−4 for identifying extreme features in each individual, resulting in a small false discovery rate (<5 % for all except individual Cg.