Main points:
- backtesting is an attempt to learn the future by looking at the past
- the connection between past and future is chaotic
- if we look at the wealth curve of a backtest, everything we infer about that result could be wrong
- mimicking the backtest with random trades provides a true picture of when the strategy works and when it doesn’t
- it is useful to do the backtest with multiple starting portfolios
- the only truly out-of-sample test is real trading
- herd risk is a problem
- we played the minority game
- optimism bias is a problem
Presented 2010 November at the Thalesians.
There is a video of the talk on the Thalesian website (towards the bottom).
Kommentarer inaktiverade för Effective Backtesting
jun 25, 26
Programmers think programming is really hard. Non-programmers think it’s even harder than that. Figure 1: The perceived difficulty of programming. Why is programming so arduous? […]
jun 25, 26
Coordinates: 2014 September 15-17 in the London borough of #rstats. 15th, evening I had just the right number of R bugs so that I could walk to the drinks and arrive [...]
jun 25, 26
Navigation gets you from where you are to where you want to be. Speaking of navigation, you can jump to selected sections of this post: Navigation; R-bloggers; Task views; Rdocumentation.org; [...]


