Hello Friends,
We have discussed various systems, back tested them and now we have started (mock) implementation of the systems in the market. In due course we will also get the feed back from the implementation.
Almost all the systems are trend following systems and use some form crossover as a signal (an event in the past, as someone has said
). The back testing shows that the systems work well (especially in trending markets).
One major concern with these systems is that all of them have quite deep draw downs. Now, what if the folio owner (trader/investor) has to cope with the negative string/series of trades initially?
For the average results to show up it is necessary to have a big enough sample size. The Money Management rules should ensure that the folio owner will be able to take high number of trades. To protect the folio owner from going bust before that, it is necessary for the system to have position sizing (and risk management) rules such that a single trade will not give more than 1% loss (draw down) on the entire equity. This rule is used as a primary constrain because the first objective is survival.
During a discussion in the chat room AJAY pointed out, that basing a Stop Loss only on MM rules is a sure way to disaster. The system must have a stop based on technical reasons.
When the reasons you entered the trade are no more there, it is the time for you to get out of the trade. In my enthusiasm to implement the ideas presented, I glossed over this important consideration. I thank Ajay for his guidance, and request him to continue to do so.
To take the discussion further I would request all the members to contribute and give inputs on related issues. Lets focus on Trade Management for the current set of systems being used.
Happy Experimenting
Regards
Sanjay