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www.tradersonline-mag.com 04.2014<br />

F6) Popular Systems – S&P Optimisation from 1990: Profit Factor<br />

The chart shows the profit factors for a variety of calculation periods for the systems: moving average (MA),<br />

breakout (BO), and linear regression slope (LRS). For most settings, the returns are much the same again.<br />

Source: www.kaufmansignals.com<br />

F7) Popular Systems – 5-Year Note Optimisation from 1990: Profit Factor<br />

The chart shows the profit factors for a variety of calculation periods for the systems: moving average (MA),<br />

breakout (BO), and linear regression slope (LRS). For most settings, the returns are much the same again.<br />

Source: www.kaufmansignals.com<br />

but you don’t want to trade 100<br />

shares of Apple and 100 shares of<br />

Bank of America. The Apple profits<br />

and losses will be so big that Bank<br />

of America will be unimportant.<br />

For futures you take an investment<br />

amount, say $25,000 per market<br />

and divide by the 20-day volatility<br />

to get the number of contracts.<br />

You can do that because of the<br />

leverage in futures. Once you find<br />

the position size for all futures, you<br />

can scale them equally to your actual<br />

investment size.<br />

Equal risk gives you maximum<br />

diversification, which means the<br />

best risk control. Of course, there are<br />

other important risk controls, but it’s<br />

the best place to start.<br />

TRADERS´: In one of your books, you<br />

describe how to put the process<br />

of research and development into<br />

a “cohesive framework.” Can you<br />

just briefly explain how this works,<br />

please<br />

Kaufman: The basic idea is to start<br />

with a sound premise, such as an<br />

economic trend or arbitrage. You<br />

can’t let the computer find a method<br />

for you. It just doesn’t work. Then you<br />

need to test it properly using lots of<br />

data, some in-sample and some outof-sample.<br />

You need to understand<br />

how to interpret the results. I favour<br />

looking at the results of all tests so<br />

that “success” means that 70 per cent<br />

of all tests were profitable. Then my<br />

expectation is the average result of<br />

all tests. I don’t believe you can pick<br />

one set of parameters and expect<br />

that to be the best next month, so I<br />

use multiple parameters in order to<br />

get an average result. That may be<br />

78

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