I want my code to check multiple conditions and pick the one that has been met and execute it. Unfortunately my code is not returning anything

corr is the correlation coeficient value, meaning I have 3 correlation values and std_mev are standard deviation value meaning I also have 3 standard deviation values. I want my code to check if the conditions in the code below are met and if they are met it should execute the statement that is true and compute the induc values as shown in the code. Unfortunately no error or even an execution is being performed to produce the induc values please assist, I have a attached a picture to show this. the code is below:

    corr1,_ = pearsonr(list_losses, list_mev1)
    print('Pearsons correlation[loss and MEV1]: %.4f' % corr1)

    corr2,_ = pearsonr(list_losses, list_mev2)
    print('Pearsons correlation[loss and MEV2]: %.4f' % corr2)

    corr3,_ = pearsonr(list_losses, list_mev3)
    print('Pearsons correlation[loss and MEV3]: %.4f' % corr3)

    ### calculating standard deviation
    std_mev1 = statistics.stdev(std_mev1_list)
    std_mev2 = statistics.stdev(std_mev2_list)
    std_mev3 = statistics.stdev(std_mev3_list)

    print("Std MEV 1 = ",std_mev1)
    print("Std MEV 1 = ",std_mev2)
    print("Std MEV 1 = ",std_mev3)

    if corr1>=0.5 and corr2>=0.5 and corr3>=0.5:
        induc_cur_ls = cur_ls*(1+std_mev1)*(1+std_mev2)*(1+std_mev3)
        induc_on2_ls = on2_ls*(1+std_mev1)*(1+std_mev2)*(1+std_mev3)
        induc_tt2_ls = tt2_ls*(1+std_mev1)*(1+std_mev2)*(1+std_mev3)
        induc_sx2_ls = sx2_ls*(1+std_mev1)*(1+std_mev2)*(1+std_mev3)
        induc_nn2_ls = nn2_ls*(1+std_mev1)*(1+std_mev2)*(1+std_mev3)
    elif corr1>=0.5 and corr2>=0.5 and corr3<0.5:
        induc_cur_ls = cur_ls*(1+std_mev1)*(1+std_mev2)
        induc_on2_ls = on2_ls*(1+std_mev1)*(1+std_mev2)
        induc_tt2_ls = tt2_ls*(1+std_mev1)*(1+std_mev2)
        induc_sx2_ls = sx2_ls*(1+std_mev1)*(1+std_mev2)
        induc_nn2_ls = nn2_ls*(1+std_mev1)*(1+std_mev2)
    elif corr1>=0.5 and corr3>=0.5 and corr2<0.5:
        induc_cur_ls = cur_ls*(1+std_mev1)*(1+std_mev3)
        induc_on2_ls = on2_ls*(1+std_mev1)*(1+std_mev3)
        induc_tt2_ls = tt2_ls*(1+std_mev1)*(1+std_mev3)
        induc_sx2_ls = sx2_ls*(1+std_mev1)*(1+std_mev3)
        induc_nn2_ls = nn2_ls*(1+std_mev1)*(1+std_mev3)
    elif corr3>=0.5 and corr2>=0.5 and corr1<0.5:
        induc_cur_ls = cur_ls*(1+std_mev2)*(1+std_mev3)
        induc_on2_ls = on2_ls*(1+std_mev2)*(1+std_mev3)
        induc_tt2_ls = tt2_ls*(1+std_mev2)*(1+std_mev3)
        induc_sx2_ls = sx2_ls*(1+std_mev2)*(1+std_mev3)
        induc_nn2_ls = nn2_ls*(1+std_mev2)*(1+std_mev3)
    elif corr1>=0.5 and corr2<0.5 and corr3<0.5:
        induc_cur_ls = cur_ls*(1+std_mev1)
        induc_on2_ls = on2_ls*(1+std_mev1)
        induc_tt2_ls = tt2_ls*(1+std_mev1)
        induc_sx2_ls = sx2_ls*(1+std_mev1)
        induc_nn2_ls = nn2_ls*(1+std_mev1)
    elif corr2>=0.5 and corr1<0.5 and corr3<0.5:
        induc_cur_ls = cur_ls*(1+std_mev2)
        induc_on2_ls = on2_ls*(1+std_mev2)
        induc_tt2_ls = tt2_ls*(1+std_mev2)
        induc_sx2_ls = sx2_ls*(1+std_mev2)
        induc_nn2_ls = nn2_ls*(1+std_mev2)
    elif corr3>=0.5 and corr1<0.5 and corr2<0.5:
        induc_cur_ls = cur_ls*(1+std_mev3)
        induc_on2_ls = on2_ls*(1+std_mev3)
        induc_tt2_ls = tt2_ls*(1+std_mev3)
        induc_sx2_ls = sx2_ls*(1+std_mev3)
        induc_nn2_ls = nn2_ls*(1+std_mev3)
    else:
        induc_cur_ls = cur_ls
        induc_on2_ls = on2_ls
        induc_tt2_ls = tt2_ls
        induc_sx2_ls = sx2_ls
        induc_nn2_ls = nn2_ls

        print(induc_cur_ls)
        print(induc_on2_ls)
        print(induc_tt2_ls)
        print(induc_sx2_ls)
        print(induc_nn2_ls)