Do not forget, that the profiler disables the JIT acceleration. Therefore the measurements can have a strong bias. Some TIC/TOCs are smarter.
CurSL = SPReturns_Trl(:,i) - SP_TR_Trl(i) < SL_Amount(sla)
Matlab computes statements from left to right:
tmp1 = SPReturns_Trl(:,i) - SP_TR_Trl(i);
CurSL = tmp1 < SL_Amount(sla);
When I assume, that "i" and "sla" are scalar counters (please explain the necessary details...), one vector operation can be omitted:
CurSL = SPReturns_Trl(:,i) < (SL_Amount(sla) + SP_TR_Trl(i));
Now we get:
tmp1 = (SL_Amount(sla) + SP_TR_Trl(i));
CurSL = SPReturns_Trl(:,i) < tmp1;
However, optimizing a single line taken out of its context is not reliable. If the missing pre-allocation causes disk swapping, it can happen, that a lot of time is spent during the shown command is processed, but not because of the command.
So fix the severe pre-allocation problems at first to avoid the famous anti-pattern of pre-mature optimization.