Suicide is notoriously difficult to predict and suicidal thoughts greatly fluctuate in daily life. Using real time assessments, we can capture the factors that lead to increased suicidal ideation or reduced risk. In our study we aim to assess day and night variability in suicidal ideation and its risk factors (mood, cognitions, stressful events, social interactions, coping), by using real time ecological momentary assessments and sleep/activity monitoring, in order to establish high and low risk conditions. This will greatly assist both patients and clinicians in developing personalized safety plans and treatments.