Money Management of an intraday system is the last piece of the puzzle for me as I always use the same number of contracts. I consider it to be that which will seperate good profits from outstanding profits.
I am actively researching it and I can tell you that in my experience doing it correctly is as hard as finding a positive expentancy system (since you can actually use the money management system as _the_ system in that case by simply only taking "high" probability trades) and I am not convinced that it is possible to do better than fixed ratio of account size if you have designed the system correctly in the first place. In other words, fixed ratio of account equity may be the best you can do because trading (anything other than say options) is not blackjack.
In some sense, you have to have some objective way of assigning probability of succes/failure on a given trade. I have not decided if the information content that you use to decide on a change of size has to be orthogonal to the way you choose to go long/short, or if it is extractable right from the information content that makes you long or short.
For example, say you trade pennants with high volume or a black candle with high volume. Somehow you have to say that this particular patterns rate of success is higher than that one, so maybe you go from one contract to two contracts or vice versa. If you used the moon phases to tell you do double your size on this trade, since this is not part of your systemic decision to go long/short, it would be orthogonal information. If you used the size of the volume bar, this would be information already being used by the system. This all has to be done intraday dynamically [does it ?] Tough....
For my system, I have not found a reliable method of doing this, but I keep looking for that AHA moment. Perhaps I am just not getting it...
Also, there is some theory that if you were actually able to get this information by say studying your equity curve, etc, then your system is not making use of all available useful information to go long/short in the first place. In other words, if a system is truly "complete," applying statistical analysis to any of the risk measurements should return white noise. I am not sure I believe this [mostly for temporal reasons,] but I have heard this theory...
nitro
I am actively researching it and I can tell you that in my experience doing it correctly is as hard as finding a positive expentancy system (since you can actually use the money management system as _the_ system in that case by simply only taking "high" probability trades) and I am not convinced that it is possible to do better than fixed ratio of account size if you have designed the system correctly in the first place. In other words, fixed ratio of account equity may be the best you can do because trading (anything other than say options) is not blackjack.
In some sense, you have to have some objective way of assigning probability of succes/failure on a given trade. I have not decided if the information content that you use to decide on a change of size has to be orthogonal to the way you choose to go long/short, or if it is extractable right from the information content that makes you long or short.
For example, say you trade pennants with high volume or a black candle with high volume. Somehow you have to say that this particular patterns rate of success is higher than that one, so maybe you go from one contract to two contracts or vice versa. If you used the moon phases to tell you do double your size on this trade, since this is not part of your systemic decision to go long/short, it would be orthogonal information. If you used the size of the volume bar, this would be information already being used by the system. This all has to be done intraday dynamically [does it ?] Tough....
For my system, I have not found a reliable method of doing this, but I keep looking for that AHA moment. Perhaps I am just not getting it...
Also, there is some theory that if you were actually able to get this information by say studying your equity curve, etc, then your system is not making use of all available useful information to go long/short in the first place. In other words, if a system is truly "complete," applying statistical analysis to any of the risk measurements should return white noise. I am not sure I believe this [mostly for temporal reasons,] but I have heard this theory...
nitro
