Background: There is a notable diversity in how suicidality manifests and evolves across individuals, highlighting the need for a deeper comprehension of the fluctuating nature of suicidal ideation and other symptoms. This may inform personalized approaches and enhance our theoretical understanding of its complex dynamics. Methods: Time series of psychological symptoms related to suicidal ideation were gathered using ecological momentary assessment (EMA) data from 11 psychiatric outpatients patients with depression. Employing Dynamic Time Warp (DTW) analysis, the temporal clustering of symptom trajectories over time were clustered. Results: Patients had an average age of 34.64 years (SD 9.9), 6 were women, and contributed on average to 129 observations each over a time span of at least 3 months. There was considerable inter-individual variability in symptom severity and clustering in undirected DTW analyses. The symptoms entrapment, worrying, hopelessness and feeling sad often clustered together and seem to reinforce on another over time. Notably, two theoretical core symptoms of suicide ideation, feeling of entrapment and perceived burdensomeness both had varying roles across individual symptom networks. In directed network analyses, conducted with different time lags (lag-1, lag-3, lag-5), further illuminated the temporal order and influence of symptom changes. These analyses underscored the individualized nature of symptom dynamics, revealing diverse patterns in how symptoms like entrapment and perceived burdensomeness interacted with suicide ideation and influenced each other over time. Conclusions: There was substantial variability among the dynamics among suicidal ideation and other emotions, challenging linear models of symptom progression. This variability underscores the need for personalized treatment strategies, focusing on individual symptom networks. Entrapment, worrying, hopelessness and feeling sad often clustered together and seem to reinforce on another over time across patients.