Minimal Effort Returns - Algo Based

Discussion in 'Journals' started by Spectre2007, Jan 28, 2017.

  1. Derivative 1 per $50,000

    2012

    year end returns 10.8%
    drawdown from HWM -23.02%

    2013

    year end returns 17.7%
    drawdown from HWM -5.09%

    2014

    year end returns 34.3%
    drawdown from HWM -9.0%

    2015

    year end returns 9.9%
    drawdown from HWM -4.0%

    2016

    year end returns 13.5%
    drawdown from HWM -0.02%



     
  2. algofy

    algofy

    And....
     
  3. looking at a very simplistic approach.. trading futures just using daily data. Its tedious collecting the data for different instruments.
     
  4. algofy

    algofy

    Are the above results real cash or testing?
     
  5. backtesting system to validate and forward testing using different macro futures.. gold/usd/30 year...
     
  6. algofy

    algofy

    Cool
     
  7. Derivative 2

    2012

    10.7 -20

    2013

    -7.7 -25

    2014

    9.9 -6

    2015

    15.3 -6

    2016

    25.1 -2.75

     
  8. Derivative 3

    2012

    25.1 -6.01

    2013

    12.1 -5.1

    2014

    10.6 -29.4

    2015

    -4.2 -11

    2016

    8.7 -6.0



     
  9. yearlysnap.png

    Just trading 1 contract per 50K ..testing on 3 futures .. returns don't factor in interest earned. Only trades a few times a year. Uses daily data for entry on opening range of the next day from signal generation. From high water mark, equity can hit -30% DD but on the whole recovers by the end of the year.

    Derivative 1 - Gold
    Derivative 2 - US 30 year bond
    Derivative 3 - Yen
     
    Last edited: Jan 28, 2017
  10. Derivative 4 - Copper

    2012

    -46 -58

    2013

    10.1 -7.92

    2014

    -6.4 -25

    2015

    22.4 -9

    2016

    -4.6 -27.3

    pretty bad numbers for this, but put it into the above basket for diversification.
     
    #10     Jan 28, 2017