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Re: [amibroker] The Transcendental use of Data in Optimizations


  • To: amibroker@xxxxxxxxxxxxxxx
  • Subject: Re: [amibroker] The Transcendental use of Data in Optimizations
  • From: buttha <buttha@xxxxxxxxxxxxx>
  • Date: Tue, 11 Feb 2003 02:52:06 -0800
  • In-reply-to: <002c01c2d1a4$c9749e20$fa2005d5@alteccomputer>

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At 10.08 11/02/03 +0200, you wrote: The result is impressive.> [snip] This first example leads to the main question: Are there some "model" stocks which fit better to this D-ratio version for the whole market ? [excuse me for my poor english] It's something not new for me: I'm an italian trader and I've developed a trading system which works with neural networks (interfaced with AB) . There are four major indices in Italy: mib30, mibtel, midex and numtel. I use three neural network: one use, as input, data of mib30, one works with mibtel and the last one works with midex. Then, I use a linear combination of networks output: segnale=0.3*segnaleMIB30+0.9*segnaleMIBU+0.3*segnaleMIDEX; and "segnale" is an oscillator in the interval [0,1.5] with a threshold of 0.5 So, I trade *stocks* not using data of themselves, but data of the indices and the perfomances are very impressive. What about Numtel? Numtel is a tecnological index, like NASDAQ in american stock exchange. If I trade stock of numtel (and, remember, the only data I use are data relative to mib30,mibtel and midex indices) the result performance explorations are: OPG     79731.20        3986.56%        -6.0%   -64.2%  82      41      41      133805  -53334  90.05%  195.19% 2.51    981.36  2.51 GAN     41122.19        2056.11%        -12.6%  -66.9%  76      41      35      48342   -9924   88.31%  187.90% 4.16    505.50  4.87 FIN     22663.24        1133.16%        -21.2%  -52.5%  76      42      34      51596   -28943  88.66%  133.52% 1.44    298.07  1.78 DA      22307.61        1115.38%        -5.1%   -39.9%  60      38      22      25678   -4663   86.04%  185.08% 3.19    350.25  5.51 TIS     19074.92        953.75% -12.6%  -50.4%  78      38      40      38669   -19303  88.92%  117.32% 2.11    248.27  2.00 EBI     17646.12        882.31% -4.4%   -65.7%  63      33      30      27315   -9916   87.28%  139.34% 2.50    276.17  2.75 TDI     17336.81        866.84% -3.6%   -59.5%  76      36      40      31848   -14765  88.86%  111.72% 2.40    224.77  2.16 CDC     13490.02        674.50% -5.2%   -47.3%  58      32      26      18557   -5146   85.95%  139.11% 2.93    231.24  3.61 FDL     11839.54        591.98% -19.0%  -78.0%  64      35      29      25547   -13750  86.86%  113.68% 1.54    184.34  1.86 AISW    11192.41        559.62% -4.0%   -58.0%  54      26      28      20615   -9192   85.58%  129.34% 2.42    211.54  2.24 INF     9985.99 499.30% -7.6%   -44.1%  54      33      21      16008   -6623   85.51%  120.28% 1.54    173.79  2.42 PRI     9920.17 496.01% -52.8%  -66.4%  78      41      37      16340   -6148   88.92%  80.84%  2.40    130.68  2.66 DIB     9563.71 478.19% -34.6%  -49.7%  52      26      26      16163   -6539   84.17%  134.95% 2.47    185.08  2.47 DMA     9486.09 474.30% -8.2%   -42.1%  48      28      20      15428   -6428   82.84%  152.53% 1.71    187.49  2.40 TXT     8998.88 449.94% 0.0%    -57.1%  54      26      28      16669   -7887   85.89%  108.64% 2.28    162.63  2.11 INE     8274.30 413.72% -4.6%   -45.9%  66      32      34      16037   -7764   87.19%  88.67%  2.19    125.34  2.07 VIT     7178.33 358.92% -37.0%  -47.7%  52      28      24      11503   -5436   84.33%  109.20% 1.81    116.68  2.12 PCU     7109.43 355.47% 0.0%    -61.9%  42      20      22      12084   -5763   81.19%  145.08% 2.31    150.50  2.10 CTO     6828.85 341.44% -5.0%   -50.6%  54      27      27      11343   -4766   85.51%  93.70%  2.38    121.80  2.38 CHL     6526.33 326.32% -23.2%  -65.0%  60      32      28      23135   -16953  86.47%  82.38%  1.19    103.04  1.36 CDB     6036.16 301.81% -1.4%   -43.7%  64      27      37      11762   -5474   87.41%  70.44%  2.94    98.25   2.15 CAI     5612.29 280.61% -15.5%  -39.9%  57      28      29      11429   -5856   85.78%  79.64%  2.02    97.78   1.95 TAS     5410.86 270.54% -9.7%   -57.0%  60      25      35      8503    -3426   86.57%  71.62%  3.47    84.61   2.48 EUP     5056.46 252.82% -10.4%  -45.8%  58      27      31      10290   -5208   86.02%  72.26%  2.27    87.61   1.98 DAM     4556.27 227.81% -2.8%   -27.4%  52      21      31      7249    -2805   84.33%  78.62%  3.81    85.46   2.58 PSF     3983.52 199.18% -18.9%  -79.5%  74      39      35      7503    -3626   88.88%  44.47%  1.86    52.39   2.07 ONB     3580.27 179.01% -1.0%   -32.7%  50      27      23      7715    -4100   84.94%  61.94%  1.60    72.31   1.88 CAD     3319.68 165.98% -3.6%   -29.8%  54      28      26      4958    -1746   84.06%  63.20%  2.64    59.49   2.84 TCS     2712.87 135.64% -20.0%  -42.3%  54      29      25      6228    -3750   85.51%  47.31%  1.43    45.88   1.66 ITW     2465.06 123.25% -41.6%  -46.1%  38      20      18      4227    -1397   77.23%  83.87%  2.72    74.48   3.03 MTV     2369.32 118.47% -9.4%   -37.0%  60      26      34      4444    -2014   86.06%  40.30%  2.89    40.50   2.21 EPLA    2351.41 117.57% -0.3%   -93.5%  56      23      33      15769   -13470  85.26%  42.27%  1.68    41.07   1.17 NOV     1707.07 85.35%  -39.2%  -41.1%  52      27      25      3443    -2010   83.77%  37.52%  1.59    27.56   1.71 ACO     1590.24 79.51%  -49.8%  -52.9%  54      21      33      6501    -4955   85.44%  30.73%  2.06    28.64   1.31 REY     1215.08 60.75%  -13.1%  -37.7%  52      22      30      3644    -2491   83.21%  29.18%  2.00    22.18   1.46 DAL     1195.65 59.78%  -14.5%  -55.8%  38      19      19      2609    -1442   80.47%  35.25%  1.81    30.72   1.81 ELN     1108.79 55.44%  -19.2%  -54.8%  54      21      33      3377    -2227   83.12%  27.12%  2.38    21.30   1.52 DAS     751.02  37.55%  -13.5%  -42.8%  52      17      35      3317    -2479   84.22%  17.51%  2.75    16.10   1.34 FDA     749.32  37.47%  -3.8%   -37.9%  52      22      30      2862    -2103   83.39%  18.59%  1.86    14.58   1.36 BB      671.17  33.56%  -17.4%  -43.5%  52      22      30      3350    -2655   84.08%  15.83%  1.72    13.37   1.26 BIO     493.04  24.65%  -21.4%  -123.0% 54      25      29      5604    -5169   85.58%  10.61%  1.26    8.06    1.08 ENG     422.04  21.10%  -37.4%  -48.2%  54      22      32      2381    -2034   83.09%  11.12%  1.70    6.43    1.17 PRT     286.26  14.31%  -17.9%  -22.5%  38      18      20      1261    -973    76.35%  11.80%  1.44    7.59    1.30 ART     80.40   4.02%   -10.7%  -31.9%  60      25      35      2255    -2141   86.51%  1.70%   1.47    1.90    1.05 ALGL    60.04   3.00%   -46.5%  -57.7%  41      26      15      1631    -1601   77.94%  2.31%   0.59    0.73    1.02 BB1     0.00    0.00%   0.0%    0.0%    0       0       0       0       0       50.00%  0.00%    N/A      N/A    N/A The performance, for every stock, is >=0% (testing from 1997. If I test the TS using data of the last two year, then the system loose on one stock). Settings are: long&shorts with positions opened and closed at the open price of the day after the signal (open with delay of 1 bar). And, would you like to know a "little" particular? The is NO optimitazion involved in the trading system. Yahoo! Groups Sponsor ADVERTISEMENT Post AmiQuote-related messages ONLY to: amiquote@xxxxxxxxxxxxxxx (Web page: http://groups.yahoo.com/group/amiquote/messages/) Check group FAQ at: http://groups.yahoo.com/group/amibroker/files/groupfaq.html Your use of Yahoo! Groups is subject to the Yahoo! Terms of Service.