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[amibroker] Re: Robustness Example With Pictures



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Mark,

Okay assuming one likes what one sees from the results of criteria 1 -
 5 then where do you take this ?  Issue selection ?

--- In amibroker@xxxxxxxxxxxxxxx, "quanttrader714" 
<quanttrader714@xxxx> wrote:
> I did the posted simulations with XLSim ($125).
> http://www.analycorp.com/xlsimindex.htm
> I also have and would recommend Resampling Stats ($179).
> http://www.resample.com/content/software/excel/index.shtm
> I have *no* connection with either.  Each has functionality the 
other
> doesn't but either one will perform the simulations I've given
> examples of.  
> 
> --- In amibroker@xxxxxxxxxxxxxxx, "Ken Close" <closeks@xxxx> wrote:
> > Great stuff. Mark.  A year ago someone on this forum mentioned 
using
> > bootstrap resampling to good advantage but I could never 
understand
> how
> > to use it.  Your example seems much more understandable.
> > 
> > Could you please tell us the exact software you use for the
> > bootstrapping.  A search of google produces too many hits to know
> which
> > is the easiest to use/most value for the buck choice.  
> > 
> > Thanks for your work and sharing,
> > 
> > Ken
> > 
> > -----Original Message-----
> > From: quanttrader714 [mailto:quanttrader714@x...] 
> > Sent: Tuesday, November 04, 2003 8:00 AM
> > To: amibroker@xxxxxxxxxxxxxxx
> > Subject: [amibroker] Re: Robustness Example With Pictures
> > 
> > In this case initial equity but it could be anything.  To clarify
> the
> > mechanics of this particular simulation for anyone interested, it
> > started with a basket of trades from AB output (% profit/trade).  
It
> > randomly drew trades from the basket w/replacement and made a
> sequence
> > of 100 (100 was arbitrary) trades, an artificial equity line if 
you
> > will.  Then it calculated max % dd *for that sequence* by taking 
the
> > largest percentage distance between peak equity value and 
following
> > trough values. It did this 999 more times then made the histogram
> and
> > cumulative distribution graph based on the 1000 max % dd results. 
> > What you're in effect doing is coaxing all you can out of your 
data.
> > 
> > --- In amibroker@xxxxxxxxxxxxxxx, "Fred" <fctonetti@xxxx> wrote:
> > > So the estimated MaxDD is based on what ? an indivdiual trade ? 
> > > initial equity ? the account balance at any given point in 
time ?
> > > 
> > > --- In amibroker@xxxxxxxxxxxxxxx, "quanttrader714" 
> > > <quanttrader714@xxxx> wrote:
> > > > It's late and I've had too much scotch, so one very quick
> example
> > > > which I'll explain the basics of but would like to have 
someone
> > else
> > > > please take a stab at interpreting.
> > > > 
> > > > To recap the Robustness Criteria, Condensed Version 1-5:
> > > > 
> > > > 1. Test on small, mid & large cap stocks in bull, bear &
> sideways
> > > > markets.  
> > > > 2. Evaluate performance on top 20% most actively traded small,
> > mid &
> > > > large cap stocks.
> > > > 3. Graph and evaluate system performance consistency
> > (%profit/trade
> > > > and % profit/bar) on select stocks.
> > > > 4. Perform simulation to estimate probability of profit in 10
> > trades
> > > > (for select stocks).
> > > > 5. Perform simulation to estimate future drawdown (for select 
> > > stocks).
> > > > 
> > > > For this example I picked a stock, any stock.  I think 
everyone
> > gets
> > > > what I mean by criteria 1 and 2 (whether they agree or not),
> > correct
> > > > me if I'm wrong.  I've posted the output of criteria 3-5 in 
the
> > > > example folder in the photos section.  Criterion 3 output is
> > photos 
> > > 1
> > > > and 2, criterion 4 output is photos 3 and 4, and criterion 5
> > output 
> > > is
> > > > photos 5 and 6.  I think the criterion 3 graphs are self 
> > > explanatory.
> > > >  On criterion 4, forget how it's calculated for now.  It
> > estimates 
> > > the
> > > > probability of profit (and how much) at the end of 10 trades. 
> > Unit 
> > > of
> > > > measure is % of starting equity.  Looking at the histogram, 
the
> > > > highest bin (the mode of the distribution) is 19.16 -- 29.63
> which
> > > > means approx 15.5% of the time (y axis) the profit at the end 
of
> > 10
> > > > trades fell in this bin, between 19.16% and 29.63% of initial 
> > > equity.
> > > >  The cumulative distribution graph is the histogram in
> cumulative 
> > > > form and shows the likelihood that a result falls below the
> value
> > on
> > > > the x axis.  For example, 20% of the simulations (of the sum 
of
> 10
> > > > trades) lost money so you can *estimate* there's an 80% 
chance 
> > > you'll
> > > > be profitable after 10 trades with this.  Same unit of measure
> > for 
> > > max
> > > > dd and those graphs are read the same way.  P.S. Each 
simulation
> > was
> > > > 1000 runs, so the graphs of criterion 3 show one actual pass
> > through
> > > > the data by AB, while the others depict the collective results
> of 
> > > 1000
> > > > simulated runs (and include my adjustment factor).
> > 
> > 
> > Send BUG REPORTS to bugs@xxxx
> > Send SUGGESTIONS to suggest@xxxx
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