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RE: [amibroker] Re: Real-world trading (specifics for Fred)



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<FONT face=Arial color=#0000ff 
size=2>Fred,
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size=2> 
I 
really hate to sound coy about my systems, as I know the various ways that such 
a response can be interpreted.   However, I am trading several hedge 
funds using my systems and it would be a disservice to my clients to 
divulge my exact methods.   Having said that, I will try to answer 
your questions.
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size=2> 
Let me 
start by telling you what I don't use.   I'm not looking for a debate 
here, but I've tried all of these things and I cannot get value from 
them.   Indicators such as Stochastics, DMI, ADX, RSI, CCI, etc. have 
proven to be useless to me, over 40 years of trading.   I know 
many of the members in this group use some or all of those things and many 
people use them successfully.   I have not been able to do 
so.   I've spent a month trading with George Lane (inventor of 
stochastics), for instance, and I've written hundreds of systems that use 
stochastics in various forms to no avail.  I've spent time with Don Lambert 
(creator of CCI) and couldn't find value in that indicator 
either.   I have every book and article written about DMI, ADX, 
RSI and have a disk folder full of discarded systems using those 
indicators.
<FONT face=Arial color=#0000ff 
size=2> 
I have 
to tell you (if you already aren't aware) that I approach system development 
quite differently from most people.   Of course, that could very well 
mean that I'm doing it "wrong".   I endeavour to create system(s) that 
work across all stocks at all times.  Many system developers create a 
system, using stochastics for instance, and then apply that system to stocks 
that have worked well with that system in the past.   If that approach 
works for others, fine.   I'm of the opinion that a stock that has 
worked well with stochastics for the last 27 years could stop doing so 
tomorrow.    I have stochastic systems, for instance, that work 
extremely well if I decide which stocks to feed them.   So, it's not 
that I am unable to develop systems that use these indicators.   As 
you are aware, such systems are easy to write and test.   I feel that 
is equally easy to fool yourself into believing that they will work in the 
future.
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As to 
what I do use... this is a bit more difficult for me to discuss.   I 
can tell you that my systems are aware of where the current price is in 
relationship to some moving average.   My systems look at (something 
similar to) the Sharpe ratio of returns over the recent past and the slope of a 
linear regression line and/or momentum.   Other functions you will 
find being heavily used in my systems include things like standard deviation and 
standard error (both based on the close).    Another hint for you 
would be best stated in a question:  "Who says that standard deviation can 
only be useful in powers of two?".    Many of my systems that use 
standard deviation, in some form, use powers of three, four and even seven when 
calculating standard deviation.   I guess a mathematician would say 
that using a power other then two makes it non standard.   That's 
exactly why I call the function "NonStandardDeviation".
<FONT face=Arial color=#0000ff 
size=2> 
<FONT face=Arial color=#0000ff 
size=2>Relative strength (not RSI) is also a powerful tool that I use 
extensively.   I've done over 15 years of research using relative 
strength in conjunction with two very large ($300 billion) hedge funds in the 
States.  One of the hedge funds I manage uses only a relative strength 
approach while always being beta neutral.  I use a method similar to that 
used by IBD, but IBD hasn't changed their methodology (IMO) for too many 
years.   It's basically a multi-period relative strength, weighting 
each lookback period differently.   I can give you another clue 
here that took many years for me to discover.   However you weight the 
various lookback periods, performance can be increased by treating the most 
recent period negatively.   The idea being that a recent, strong, 
positive relative strength can very well mean a pull-back is in 
order.
<FONT face=Arial color=#0000ff 
size=2> 
That's 
all I can tell you, at least in this group forum.   I am very happy to 
share concepts and I may, in the process, tell you enough about what I'm doing 
for you to replicate it.    I'm sorry that I cannot simply give 
you AFL code and I'm sorry if that sounds like I am building up my systems to be 
the grail.    They are not the grail, but they do produce proven, 
consistent, non-spectacular, returns.
<FONT face=Arial color=#0000ff 
size=2> 
<FONT face=Arial color=#0000ff 
size=2>Cheers
<BLOCKQUOTE 
>
  <FONT face="Times New Roman" 
  size=2>-----Original Message-----From: Fred 
  [mailto:fctonetti@xxxxxxxxx]Sent: Sunday, April 13, 2003 5:08 
  PMTo: amibroker@xxxxxxxxxxxxxxxSubject: [amibroker] Re: 
  Real-world trading (specifics)Chuck,You have 
  filled things out somewhat, but I guess what I was asking more 
  specifically was:1.  What other kinds of qualifiers do you use to 
  decide how to limit the universe of stocks that you'll even consider some 
  signal for today ? and ...2.  Does the system you use 
  employ some sort of pattern matching (Raschke's "grail" i.e ADX +/- DMI 
  etc. plus a pullback etc. would be an example of this sort of thing) or is 
  it something that is more trend of momentum oriented (MACD, Stochastic, 
  Linear Regression would be examples of this sort of thing)TIA, 
  Fred--- In amibroker@xxxxxxxxxxxxxxx, "Chuck Rademacher" 
  <chuck_rademacher@x> wrote:> Re: Real-world tradingThanks, 
  Fred Tonetti, for the comments.  I will> endeavour to answer 
  your questions without "giving away the farm".> > First, I have 
  to tell you that I think my approach is different from MOST of> the 
  people in this group.  Of course, that could mean that most of 
  the> others have it right!> > I would NEVER optimize 
  for a different set of parameters for each stock.> I'm of the 
  opinion that MSFT can start looking like IBM tomorrow.  AOL 
  can> take on the look and feel of INTC next week.   So, I 
  want to have one set of> parameters that works on ALL stocks over 
  at least six years of data> (preferably ten to twelve).   I 
  end up with a set of parameters that works> over 13,000+ stocks 
  (active and extinct) times however many days those> stocks have 
  traded.   The number of trades can be between 15,000 and 
  50,000> and gives me some feeling that the system(s) will be robust in 
  the future.> > The next area I seem to treat differently 
  than most as well.   I trade fixed> size positions all 
  the time.  My backtesting and realtime trading is always> 
  based on fixed position size.   If I have cash, I will take as many 
  trades> as I can take.  If I don't have enough cash to take 
  every trade, I will sort> the orders by "something".   If 
  I'm not getting enough signals to use all my> cash, I will 
  gradually increase the bet size.   AB lends itself to 
  this> approach, although I would like to see it more 
  automated.  I'll give an> example:> > Let's say 
  I'm sitting on $100,000 cash, or will be after I close out some> 
  positions tomorrow.   If I'm trading $10,000 per transaction, 
  obviously I> have enough cash to take ten new 
  positions.   My system may generate 100> orders for 
  tomorrow.   I will add a column to my exploration so that I 
  can> sort by it (or at least look at it).   For simplicity, 
  let's say that I know> that my system works better on low price 
  stocks; the lower the better.> That's almost too easy, but I could 
  sort my buy orders by closing price and> take the first 
  ten.   Obviously, I would have had to backtest this 
  premise> before trading in realtime.> > I sort by 
  whatever I have found (via backtesting) gives me the best results.> 
  Since I have other information in my data (fundamentals, etc.), I can 
  sort> by just about anything you can imagine.> > You 
  quoted me as saying that I use volume * price as one of my 
  filters.   I> use something between a ten-day and 
  fifty-day average volume times the> (actual) closing price to give 
  me the turnover.   If I'm trading $10,000, I> want the 
  turnover to be at least $200,000.   That's not a science, just 
  a> judgemental ratio of my order size to the average turnover in order 
  to get> an easy fill (in and out).> > I hope I have 
  answered your questions.  If not, hit me again.>   
  -----Original Message----->   From: Fred Tonetti 
  [mailto:ftonetti@xxxx]>   Sent: Sunday, April 13, 2003 4:22 
  PM>   To: amibroker@xxxxxxxxxxxxxxx>   
  Subject: [amibroker] Re: Real-world trading> > 
  >   Chuck,> >   I can tell from 
  messages that you've posted in the past that you are> thorough in 
  your testing ...> >   Without giving away the farm as 
  it were I am interested in the kinds of> systems you develop and 
  trade, do they in general look for certain kinds of> conditions 
  like for example a Raschke "grail" set up or do they more belong> 
  to the timing of things with in the larger trend or ?> 
  >   I think you are far beyond most here or at least me in 
  terms of how you go> about selecting stocks to trade beyond whether 
  or not they match some> pattern in a generalized way.  I've 
  heard you speak of volume > X etc., but> I think most here or at 
  least I would benefit from any and all information> you'd be 
  willing to share about how you pare down 10,000 tradable issues> 
  into something more manageable on a real time basis.> 
  >   Regards, Fred> > 
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