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Herman,
thanks for the reply.
Presumably one would have a high win ratio (% of winners) with these short term systems, and smaller pay off ratios?
When exits are based on price action or price targets alone, and they do not reach the profit target, would you use a time based stop?
If not then one could assume we could use oscillators that will continue to oscillate and return a sell signal, even if price does not reach the target?
Or indicators that have a time based decay such as parabolic SAR?
ChrisB
Herman van den Bergen <psytek@xxxxxxxx> wrote: Hi
Chris, Yes i like to develop short term systems: the shorter the better, usually 1-10 minute trades. imo, The significance of a signal fades quickly. And yes, I meant ApplyStop() type stops where you set the position to close at a given % trade DD. Invariably maxloss stops make me "lock in Losses" and the price goes my way after I close the position. I don't use complicated stops and perhaps that is the problem. I find it better to develop system without and kind of profit/loss stops, just the basic system working on signals only. Almost always after i have that working adding profit stops will increase profits and adding Max Loss stops decrease profits. best regards, herman Herman
Could I trouble you to expand on that
briefly?:
by "max stop loss" I presume you mean an initial capital protection as per
Applystop(stoptypeloss,...,......) or similar.
or do you mean trailing stops as in
Applystop(stoptypetrailing,..., ..., ... ?
I appreciate your systems may be shorter term, rather than longer.
Only ask because this w/e I have been reviewing all my trades since Jan 2004 (ASX markets, stocks, long only, trend following) and found that it is my trailing stops (whatever volatility parameter), that curtailed my results, (together with emotions etc but that is another story). I might look at locking in the stop at breakeven, then only trailing when there is a pattern/retracement/consolidation above each successive R-multiple profit level, starting at 3R. This would have served me far better in the trending market we have experienced over the last few years.
I am beginning to think that for shorter term systems,
initial Capital protection stops may prematurely halt the cyclical nature of whatever is causing the system to work, but need to get to grips with more coding and backtesting skills to confim this.
Your comments would be most appreciated.
ChrisB
Herman van den Bergen <psytek@xxxxxxxx> wrote: stocks have "character" some work Long and some work short and some work both ways. Same wrt rhythmic and other characteristics...imho there is no reason why we should assume any characteristic to be permanent or common to a large population. When designing a system I try to find similar performance for Long and Short, this gives me more confidence that I won't go broke in a strong trend. Systems that only work Long or Short make me nervous as I worry that they will stop working abruptly. Sometimes, most of the time I should say... it is necessary to adjust parameters individually for long and short. I try to develop systems that give me thousands of trades (minute time frame) and produce a nice smooth surfaces on the 3D charts. I never trust systems that give me more than one significant hotspot.
wrt indicator, I don't use any. I trade only very short term patterns - I am a skeptic on the use of traditional indicators. Never got any to work well - probably because I don't have the patience (or nerve) to sit through long trades and through major DDs. tips? don't use any max loss stops, imho they kill systems. Use profit stops instead. Design both Entries and exits individually, only rarely will an entry rule give same performance as an exit rule. The exception to this may be high speed automated reversal trading systems (50-100 trades a day) that are in the market full time jmo... from a developer's viewpoint, I enjoy development more than trading :-) herman I have some nice, well-tested
long systems in place. I was surprised
when testing my discretionary systems, to find that none of my short
signals performed nearly as well as the long signals, in the
optimization/backtest/monte carlo simulations.
Is this common?
In addition, I am looking for some ideas around what indicators to use
as the foundation for building an adequate short system. Any ideas? I
did some searches on previous messages here, and did not find anything
of value. General rules of thumb, and bits of experiential wisdom, are
also welcome -- as they apply to short systems.
Thanks in advance,
Brian
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