This paper investigates the propreties of the persistence diagrams stemming from almost surely continuous random processes on [0, t]. We focus our study on two variables which together characterize the barcode: the number of points of the persistence diagram inside a rectangle ]-∞,x]×[x+ε,∞[\documentclass[12pt]{minimal}
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\begin{document}$$]\!-\!\infty ,x]\times [x+\varepsilon ,\infty [$$\end{document}, Nx,x+ε\documentclass[12pt]{minimal}
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\begin{document}$$N^{x,x+\varepsilon }$$\end{document} and the number of bars of length ≥ε\documentclass[12pt]{minimal}
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\begin{document}$$\ge \varepsilon $$\end{document}, Nε\documentclass[12pt]{minimal}
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\begin{document}$$N^\varepsilon $$\end{document}. For processes with the strong Markov property, we show both of these variables admit a moment generating function and in particular moments of every order. Switching our attention to semimartingales, we show the asymptotic behaviour of Nε\documentclass[12pt]{minimal}
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\begin{document}$$N^\varepsilon $$\end{document} and Nx,x+ε\documentclass[12pt]{minimal}
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\begin{document}$$N^{x,x+\varepsilon }$$\end{document} as ε→0\documentclass[12pt]{minimal}
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\begin{document}$$\varepsilon \rightarrow 0$$\end{document} and of Nε\documentclass[12pt]{minimal}
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\begin{document}$$N^\varepsilon $$\end{document} as ε→∞\documentclass[12pt]{minimal}
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\begin{document}$$\varepsilon \rightarrow \infty $$\end{document}. Finally, we study the repercussions of the classical stability theorem of barcodes and illustrate our results with some examples, most notably Brownian motion and empirical functions converging to the Brownian bridge.