Thank you Tomasz for your reply.
I didn't notice the first time I read that forum topic but their was a link to an article from quantstart in there.
Seems it is just PR talk.
He pointed out some pros and cons and most made no sense.
Like one issue he mentions is vectorized systems can have a forward look bias since all the data is analyzed at once. Now this is about using Python and pandas so maybe this is more relevant to pandas backtesting capabilities.
I think if a backtester has forward looking capabilities it's a backtest engine issue. Yes their is possibility of looking ahead using code but this is human error, not system.
The other con he mentioned that stuck out to me was that event systems have more realistic order execution, like using MOC , MOO and limit orders. I've had great success using amibroker buyprice and sellprice and trade delays to mimic my trading. Don't think theirs anyway to really know MOC or MOO outcomes in a backtest environment, guess we can assume the open/ close maybe with some slippage.
The only point that made sense was that just a flip of the switch would allow the system to go live, which makes sense, but looks like a lot of extra work to just validate an idea.
Posted by: brandon.richard03@yahoo.com
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