Craft, again no argument from me. Thats why I take the discretionary way.
And you had better get back to it and me to reading some annual reports
Cheers.
Craft, again no argument from me. Thats why I take the discretionary way.
true but you can backtest your system against a falling market period, a choppy one and a bull oneA system has to be evaluated across all market conditions – cherry picking the return from a trend system in a bull market gives you a false sense of reality as does Monte Carlo simulations if you destroy a serial correlation that actually exists.
But no trigger is perfect and getting whipsawed in sideways markets is the norm.
true but you can backtest your system against a falling market period, a choppy one and a bull one
then based on your risk appetite you choose parameters with fits best in all situations;
my current "system" (a work in progress ) is designed that way, will not be the best in any specific market but should offer nice enough result over the long range and i stress this the long range, I am on for a 5 years or so trip and will see how it goes
I will probably go for other variant etc each with their own portfolio and I am determined to see how it ends up on the long term
But no trigger is perfect and getting whipsawed in sideways markets is the norm.
I here lots of discussion on Monte Carlo but how many chunk the actual market equity curve in varying block sizes to preserve the serial correlation?
As soon as you Monte Carlo resample using a period of one you are making an implied assumption of no correlation or full randomness and that’s’ just not how the market works. It’s quite feasible that a trend system will turn on multiple times to trends that fizz out early – and you can’t know in advance which one will be the real deal so you have to take every signal. Under these false starts its easy to get multiple losers across a correlated portfolio and have it happen two, three, four or more times before a sustained trend gets under way. The reality of what correlated instruments do is almost inconceivable under a random distribution.
A system has to be evaluated across all market conditions – cherry picking the return from a trend system in a bull market gives you a false sense of reality as does Monte Carlo simulations if you destroy a serial correlation that actually exists.
Table 39 on pg 107 of "Unholy Grails" outlines the performance of the Techtrader system after 1000 iterations in Monte Carlo simulation.
CAGR Avg/21.29% Range Min/14.53% Range Max/30.82%
maxDD Avg/39.3% Range Mon/49.9% Range Max/32.7%
In terms of the Drawdowns, the figures are quite high as such. Beginning to trade it with 3x leverage would be sheer madness based on the figures presented. Even with the knowledge that Tech turned a 30k float to 360k, it would not be prudent to trade the system with any leverage based on the results outlined above. The lower DD figure of 32.7% would still be way outside the comfort zone of nearly all traders.
I am currently working on an EOD system showing a Win Rate of 82%, about 110 trades per year, with a DD of around 3% and annual return of 4.7% (not compounded). With these figures, leverage is a great tool. Even with 5x leverage the DD would be around 15% which would be acceptable to most traders, while the returns can be quite juicy.
Attempting to design a system which will perform in all market conditions is futile in my view
You only need 2
Trending
Or
Ranging.
You need to be trading both.
That way you'll catch trends and profit in ranging markets while your trending system is switched off or under performs.
I think there are much better systems out there than those in the Unholy Grail, no disrespect intended to Nick.
2003-2007 bull run was highly unusual in it's length, strength and lack of volatility. Any trend following system would have done well in that time frame. For those interested in turn-key, the following systems might be of interest because they adapt to the conditions, and you're not guessing as to when the market is trending or ranging. None of those massive DD's to worry about.
http://www.adaptivetradingsystems.com/trading-systems.html
In reply.
Aarbee
LTCM had a very similar premise based upon an ARB strategy.
Very high win rate in its 90% s I believe. Drawdown--low single figures.
Ideal for Leverage.
I guess you know what happened to LTCM?
Sorry I seem to be missing something.
What is it that you believe bought about the demise of LTCM ?
Apologies to the starter of this thread for taking it off-topic.
Cheers
Although I'm not sure how to develop a range trading system, as most of the types of trades for that I've experimented with end up having to rely on mean reversion, and aren't strictly range trades.
If you have a look at the Sharpe paper I posted he explains "Constant Mix" trading strategies, these are strategies that perform best within ranging environments. Please consider that "mean reversion" is a constant mix style strategy.
Table 39 on pg 107 of "Unholy Grails" outlines the performance of the Techtrader system after 1000 iterations in Monte Carlo simulation.
CAGR Avg/21.29% Range Min/14.53% Range Max/30.82%
maxDD Avg/39.3% Range Mon/49.9% Range Max/32.7%
Position sizing was 10% of capital and risk was 10% of entry price.
so 1% on leveraged capital/trade and 3.33% on initial capital.
That to me was acceptable. risk of ruin on testing was Zero and Potential for profit
was 100%.
You probably need to recalibrate your BS detector. The market itself did better than that at times. Even a term deposit back in the 90s could do that...
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