Hi,
Been testing a new system and trying to reduce the drawdown on it.
I've found that increasing the number of trades taken will reduce drawdown (and profits) plus adding a profit % exit and a max loss % exit helps.
I set the % max loss based on removing the worst trades by maximum adverse excursion (MAE).
Any other general ideas on reducing drawdown please? Anything at all like using the equity curve or index filters etc etc
Cheers SB
Relative strength comparison helped reduce drawdown significantly in my mechanical system. I use Jose Silva's URSC kit.
When you say you tried an ATR stop, how many different values did you model? eg. 2xatr(10), 2xatr(21), 3xatr(5)?? Both multiplier and the number of bars you use can make a large difference.
FWIW, I don't use the closing price to base exits on. Try different things which seem counter-intuitive. I found some interesting and pleasant surprises by avoiding the path most often travelled.
Interesting charts on page 293, mine is it's a shorter term system 1-4 weeks.If you have a copy of Quantitative Trading Systems, look at page 290 for some charts that show drawdowns over time.
Wow 1 or 2 percent, is that of capital? I'm talking about a ~75% profit exit on the stocks. Profit exit is rare, about 10% of trades (# of trades = 2000) and max loss 5% of the trades.Every exit coded into the trading system must occur often enough so that it does not fall into the "cherry picking" category. This is usually not a problem with profit targets, since they are usually set at 1 or 2 percent.
If you are trading short term you need to 'make your money when you buy' To do this you need to be extremely specific with your entries. Intraday charts are useful for this.
In order to successfully trade the equity curve, there must be a serial correlation -- either positive or negative -- between daily equity (if you are using daily equity) or trade profit (if you are using closed trades). In Quantitative Trading Systems, look at page 239.
If there is a positive serial correlation, then wins tend to be followed by wins and losses by losses. So the technique is to stop trading after one or more losses and wait until a win (that you did not take, but did watch) to begin again.
If there is a negative serial correlation, then stop trading after one or more wins and wait until there have been one or more losses to begin again.
Thanks,
Howard
One known strategy is to increase position size when you have winning streaks trades up to a certain amount. Like 1% to 1.5% to 2.0%. Likewise, you decrease your position size as soon as you have reached a predetermined losing streaks and maintain that position size until you have made a winning trade again. i.e. 1% to 0.8% to 0.5% to 0.5% and then back to 1% when you win the previous one.
This doesn't work as you might think. What happens is when you have a loss (after a winning streak) you have the largest amount on it and when you have a win (after the losing streak) you have the smallest amount on it.
nizar said:How do you backtest using strategies?
I guess you could call it non-fixed percent risk.
I don't think TradeSim can do this.
This doesn't work as you might think. What happens is when you have a loss (after a winning streak) you have the largest amount on it and when you have a win (after the losing streak) you have the smallest amount on it.
M+T,
Yes I've tried numerous ATR's but will have another look at that, thankyou.
"FWIW" Counter-intuitive sounds very interesting! I enter using a set price and exit with an extremly wide % stop and % profit plus timed. Can you give an example other than using open or closing price? Do you mean basing it on a set intraday price from an indicator? I'm talking here about daily or weekly systems.
SB
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