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Help proof prove a maximal inequality

Let $X_1,…,X_n$ are exchangeable of random variables, and $n$ is an even number. $S_k=X_1+\dots+X_k$. $M_k=X_{n/2}+\dots+X_{n/2+k}$.

I want to proofprove:

$$\Pr(\max_{1 \le k \le n}{|S_k|>\epsilon}) \le \Pr(\max_{1 \le k \le n/2}{|S_k|>\epsilon/2}) + \Pr(\max_{1 \le k \le n/2}{|M_k|>\epsilon/2})$$


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Help proof a maximal inequality

Let $X_1,…,X_n$ are exchangeable of random variables, and $n$ is an even number. $S_k=X_1+\dots+X_k$. $M_k=X_{n/2}+\dots+X_{n/2+k}$.

I want to proof:

$$\Pr(\max_{1 \le k \le n}{|S_k|>\epsilon}) \le \Pr(\max_{1 \le k \le n/2}{|S_k|>\epsilon/2}) + \Pr(\max_{1 \le k \le n/2}{|M_k|>\epsilon/2})$$