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from http://seekingalpha.com/article/99747-the-dangers-of-timing-the-market
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I wrote a post earlier this year, Focus on the the Long-Term, in which it was noted missing just a handful of the market's best days in a given year can really penalize returns. If an investor missed just 40 of the biggest up days in the market over the last 20 years (1987-2007), their return would have totaled 3.98% versus remaining fully invested and achieving an average annualized return of 11.82%.
The market research firm DALBAR went one step further and looked at the returns of mutual fund investors over the 20-year period, 1986-2006, and reported the average market timer return was -2%. During this same time period, the S&P 500 Index returned 12%.
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An interesting thread. The age old argument of trading vs buy and hold.
Lemure - for the record - I think you are being WAY too paranoid in refusing to even give an example of a set up just for illustration purposes given the obvious confusion by some punters on this thread to your explanations.
Anyway - as an example - some typical rules a trader may employ to give him his edge might be along the lines of:
a) Never bet more than 1% of your total available pot on any one bet
b) Never have more than 20% of your total available pot invested at any one time
c) Only buy if a 10 week moving average crosses over a 40 week moving average.
d) Never buy unless the 200 day moving average is rising.
e) a max leverage factor of 2
Fair enough comment qwerty.
However those rules don't constitute an edge. An edge is something you calculate after running a sequence of say 20 trades using the same set up rules
qwerty - I would say that a,b and e sound like bankroll management rules that are espoused for games like poker, in order to ensure that you don't go broke, if you have an unlucky streak.
Obviously i am not saying those specific rules give an edge. But these rules could be an edge once backtestedand a positive expectancy is displayed.
However those rules don't constitute an edge. An edge is something you calculate after running a sequence of say 20 trades using the same set up rules. My favorite set up right now has an edge of 25%. So in other words, for every $100 I risk, I make $125 on average.
Do you or anyone else know of even one rule that outperforms in backtests in at least three statistically significant out-of-sample periods? The 'evidence' I've seen until now is laughably lacking in out-of-sample verification, e.g. Covel in 'Trend Following' backtesting from 1990 to 2004 using a specified portfolio and then claiming that backtesting using very similar instruments during the same period represents out-of-sample verification!
Do you mean that you think this set up has an edge of 25% because that's what it has averaged over 20 recent trades? Do you realise how big a role luck can play in a sample size as insignificant as 20?
Do you or anyone else know of even one rule that outperforms in backtests in at least three statistically significant out-of-sample periods? The 'evidence' I've seen until now is laughably lacking in out-of-sample verification, e.g. Covel in 'Trend Following' backtesting from 1990 to 2004 using a specified portfolio and then claiming that backtesting using very similar instruments during the same period represents out-of-sample verification!
Do you mean that you think this set up has an edge of 25% because that's what it has averaged over 20 recent trades? Do you realise how big a role luck can play in a sample size as insignificant as 20?
Lemur - going by your posts you seem to now what you are talking about.
That 25% edge is pretty impressive.
How long have you been trading by the way?
Also - out of curiosity how did you get involved in the game?
Are you a full time trader?
Any books that you would recommend?
I've read a good few aready.
Just wondering if there are any great one i have missed out on.
lemur and qwerty do you believe stock prices are a random walk?
Zephyro. I trade my set ups with real money every day on the market so 'out of sample' backtest arguments are not relevant.
Yes I have often run 'confidence interval' stuff requiring 212 samples for 95% confidence Blah blah blah but trading in real life does not work like this. The confidence stuff is relevant to a sterile engineering environment where the inputs/outputs can be controlled but not in the market which is dynamic and suffers from 'trader effects'.
Once a set up becomes well known among traders it stops working. Hence in practical terms a trader does not have the luxury of sitting around waiting for hundreds of samples to determine if he can get an edge with this method. In my experience, a sample size of twenty is adequate in real terms for an indication that the set up will improve odds.
Backtesting - I am not a big fan of this as it is very difficult to capture all of the dynamics that will happen in the trading day. For example, I once had a trade set up with 452 backtests which had a very nice 3% edge per trade on average. When I tried to put it to work it failed miserably because I used end of day prices for the tests which did not catch the wider daily variation which often ran my stops.
Some interesting points there Lemur.
The first one re set ups having an expiry date is an interesting good point.
I think your 2nd point is an unfair point though as the error there was your backtesting was done incorrectly by you (for not including daily swings resulting in stop outs) as opposed to the whole concept of backtesting being flawed generally. (unless you take the time limits on valid set ups although presumably many setups have distant expiry dates).
Lemur - out of curiosity - what time frames do you trade?
Are you a day-trader or do you hold positions for many weeks or does it vary?
Also - out of curiosity - are you a professional trader?
DO you trade for a firm ? Or just for yourself personally in a professional capacity?
Aldo - how long does a set up last you before the market adjusts?
qwertyuiop - referring to your post re use of moving averages - trading on cross of 10 week and 40 week and on a 200 MA rising trend - are there any tests or other data to show these rules would work/
can you define pseudo random for me?
Do you think academics that have decided they are a random walk are incorrect?
I think he states in no incertain terms that backtesting must be done correctly to verify an edge.
I wouldn't get too bogged down in his backtesting methodology as that misses his main point which is is that edges do exist and that trend-following is one way of establishing an edge.
Why doesn't he backtest correctly in that case?
You may be correct that edges do exist but have you any properly backtested verification?
Zephyro, I sense you are been too analytical about this. The only verification that counts is the profit & loss column. If mine is not green, I cannot pay my bills. That tends to concentrate the mind onto what works.
for example - if you used the one that says buy if the 100 day crosses above the 350 day and sell when it goes under then you would have gotten big profits on the dow jones in the last bull market. you also would have shorted the dow back in february and you would again be in profit.
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