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Totally random trading system graphs
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Created: by dutchbookmaker Attachments:5

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Totally random trading system graphs

  #11 (permalink)
Membership Revoked
Oslo, Norway
 
Futures Experience: Advanced
Platform: CQG, Excel
Favorite Futures: CL
 
Lornz's Avatar
 
Posts: 1,198 since Apr 2010
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Quoting dutchbookmaker

You can see how pointless it is to backtest .


ThatManFromTexas View Post
There... I fixed that for ya....

I second that! I have traded for several years, but never spent to much time backtesting. According to the backtests, I am supposed to be well up in 9 figures now. If only someone could convey this to the market, I would be most appreciative...

And why someone would backtest without transaction costs escapes me...

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  #12 (permalink)
Membership Temporarily Revoked
NYC
 
Futures Experience: None
Platform: graph paper and pencil
Favorite Futures: harp
 
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Posts: 187 since Dec 2010
Thanks: 9 given, 107 received


MXASJ View Post
I'm interested to learn how you did that in Matlab . I've been spending most of my time with R and a package called quantstrat. I have Matlab so any pointers would be great...

Yea I'm done with R...fuck that.

% Nrand = input('How many trades? ');
Trades = 500;
Starting = 5000;
NumCars = 1;
Iterations = 400;
WinPer = .35;
Commision = 3;


CarsPts = NumCars * 5;
YmW = 15 * CarsPts;
YmL = 5 * CarsPts;


Win = 0;
Loss = 0;
Profit = 0;




tradmatr = zeros(Iterations, Trades);
%tradestation - 2.36 perside
for nloops2=1:Iterations
Profit = 0;
for nloops=1:Trades
Toss = rand(1);

if (Toss < WinPer) %winning
Win = Win + 1;
Profit = Profit + YmW;
end
if (Toss > WinPer) %losing
Loss = Loss + 1;
Profit = Profit - YmL;
end
Profit = Profit - Commision;

% v(nloops) = Profit;
tradmatr(nloops,nloops2)= Profit;
end

end
%
% disp(['win: ', num2str(Win)]);
% disp(['loss: ', num2str(Loss)]);
% disp(['profit: ', num2str(Profit - Starting)]);
% disp(['Commision: ', num2str(Commision)]);
% disp(['%: ', num2str(Loss/Trades)]);
% disp(['-----']);
plot(tradmatr);

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The following user says Thank You to dutchbookmaker for this post:
 
  #13 (permalink)
Elite Member
Asia
 
Futures Experience: Beginner
Platform: NinjaTrader, TOS
 
Posts: 798 since Jun 2009
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Plug and play code. Love it...
Please register on futures.io to view futures trading content such as post attachment(s), image(s), and screenshot(s).

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The following user says Thank You to MXASJ for this post:
 
  #14 (permalink)
Membership Temporarily Revoked
NYC
 
Futures Experience: None
Platform: graph paper and pencil
Favorite Futures: harp
 
dutchbookmaker's Avatar
 
Posts: 187 since Dec 2010
Thanks: 9 given, 107 received


MXASJ View Post
Plug and play code. Love it...
Please register on futures.io to view futures trading content such as post attachment(s), image(s), and screenshot(s).

Please pay me back with some insight.

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  #15 (permalink)
Elite Member
Asia
 
Futures Experience: Beginner
Platform: NinjaTrader, TOS
 
Posts: 798 since Jun 2009
Thanks: 109 given, 786 received


dutchbookmaker View Post
Please pay me back with some insight.

Buy low, sell high!

Kidding.

I think we are in the same camp where the coin toss represents a system with no edge, commish means you are paying to toss the coin, so you are doomed to failure no matter what money management system you use if you play the game over time.

You need a system with positive expectancy after commissions and other expenses.

What I've been doing in R (and thanks for making me want to try it in Matlab) is to take the daily lognormal returns of my system under test and see how "randomizing" those results would alter my terminal PnL, my MDD, and the various ratios people look at. I then am trying to work out with what level of confidence will I be making a given level returns, or conversely at what level of confidence will I go bust.

Is that a Monte Carlo sim? I have no idea.

I do know I can't do this natively in Ninja as it is a multi instrument basket, so I don't really use the Monte Carlo sim capabilities of Ninja.

BTW most of the bookmakers (er... equity market liquidity providers) in my town are Dutch.

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