Regarding Rotational systems since there is no buy / sell signals i am only using exploration to check the ranking of each stock in the universe and the position size that should be for each stock. Then i copy all to an excel sheet where i compare them to the open positions and check if the open positions are still in the top X rank other wise i will sell them and replace them with the new stocks that floated to the top.

So half of the job is done in Amibroker and the second half is in excel.

I am wondering if all are doing the same or if there is a way to do it in Amibroker directly.

i tried rewriting the system using StaticVarGenerateRanks so i can create buy and sell signal but the problem with this backtesting becomes very slow this is why i stayed with rotational and excel

The normal Monte Carlo simulation is as if you gave the strategy to 1000 persons and they only have one thing to control either to enter the trade or not so the only thing that is changing between the runs is the selection of the trades. May be I will take signal 1,2,3,5,6,7 and you will take 1,3,4,5,7

the one that Amibroker is doing is just shuffling the trade orders (this is what I understood) so in one run it will be
1-2-3-4-5-6-7-8
1-3-4-5-2-6-7-8
1-2-4-3-5-6-7-8
and so on

Amibroker Monte Carlo

From the above link they are doing the following:
taking all the trades that you got them in a backtest run and start randomizing them there was no indication about taking any new signals. So they are the same signals just shuffle.

A. Creating input set

A.1 Perform back-testing of your trading system to produce original set of N trades

B. Repeatedly (1000+ times)

B.1 pick randomly trades from the original trade list to produce new, random set of N trades (called ‘realization’)

This random set contains the same number of trades, they are ordered randomly and some original trades may be skipped and some used more than once (permutation with repetition, or random sampling with replacement).

Since number of unique realizations is N^N (so with just 100 input trades we have 100100 unique realizations), with sufficient number of trades (>100) the probability of picking identical sequence as original is virtually zero.

B.2 sequentially perform gain/loss calculation for each randomly picked trade, using position sizing defined by the user to produce system equity

B.3 record system equity in the distribution

C. Post-process

C.1 Process data obtained in B to generate distribution statistics and charts

Not exactly..

Imagine it as if it is trade generator. So it is taking the original trades and re arranging their order. what the downside of this is that it will show lower draw downs since normally drawdowns occur when you have x number of losing trades in a row. Assume that you have 10 losing trades in a row each lost 1.5% of your portfolio equity so the drawdown is certain number >= 15% but when the trades are shuffled may be 4 out of these 10 are put somewhere else then the losing trades became 6 in a row and the drawdown became >= 9% this is what they wanted to say.

If the last day of the month is index filter was off then second day i will exit all positions

I was planning to use it to compare the currently held positions versus the new ranking to check for exits and for position size, then i added all of this to the exploration code