ETF Prophet

Login
Our Flickr Channel Our Facebook Our RSS Feed follow us on twitter
LeoOOo

I’ve been working on bigger projects till about a week ago then I got real curious about a trading idea: what happens to S&P 500 next week when commodity currencies are aligned up or down the same day? What happens if I want to reduce the drawdown periods and increase the run-up periods? what happens if I apply Relative Strength to a strategy’s risk management by using it as a Equity Curve “Surfing” method ? (thanks to Market Rewind for introducing me to inter-market analysis and Relative Strength).

So I just ran with it.

In the process I learned several new things:

  1. This type of specific correlation condition doesn’t work during bull markets most of the time.
  2. It does work during bear markets. Probably because of seasonal increase in asset correlations.
  3. How equity curve filters that reduce drawdown periods and increase run-up periods affect the strategy in a total lookback period of 250 days: Run-up periods need more time to run and drawdown periods need to be cut much more quickly.
  4. How Relative Strength looks like within the context of equity curve risk reduction.
  5. How to apply newly (to me) used programming methods like arrays, an In-Sample optimization method and even a nice Autofill by user’s referenced column macro in Excel that saves a lot of time in the algo-building process.

I’m aware of several non-kosher statistical factors to the testing method that reduce expected returns in this test:

  1. Filters have parameters with lookback periods that reduce the degrees of freedom.
  2. There’s a significant increase in complexity from these filters’ conditions that also reduce Expected Returns.
  3.  The back testing window is 8 years or 1/4 way through to the threshold in the number of years it takes for a strategy’s Data-Mining Bias curve to flatten out for 2 rules (2nd chart) – about 25 years of daily data. Until that threshold there’s a downward concave slope of % points that one needs to reduce from the arithmetic mean of observed returns of one’s strategy to adjust for a realistic estimated figure of Expected Returns.

 


One Response to “An Experiment in Back Testing Methods 3-17-12”


  1. Good work Leo, I’m sure we’d all like to see more posts along these lines with added detail.