One of the things hardest to accept is that the future is uncertain. In Fortune's Formula, one percept that was included that as # of sample increase, the results should APPROACH what the long-term odds should be. For example, flip a coin 10 times, 100 times, 1m times, 10 trillion times. While we know the odds are 50/50 in the real world we may get very different results.
So, for example, you're "edge" might work in the first 1000 samples, but over the long-term it might be negative. This is one of the eternal questions for edge development (ie is your sample so small that its NOT significant), and how will you quanitfy in the future that you're edge isn't an edge at all (or maybe its BETTER than you thought).
Interestingly, this brings the point to position sizing, once again referring to Fortune's Formula when Thorp realized that that the player had a statistical edge in blackjack (versus what was believed, it was very small). Yet people still consistently loss.
I also have research demonstrating this with a positive expectancy game where most players lost (they're only option was to adjust their bet size).
Why? Because even with coin flips 5 losers in a row ppl with lower their bet size, and 5 winners in a row vice versa. (Actually in big Drawdowns many traders oversize to "get it back"). Consistent position sizing is a HUGE HUGE edge in my opinion.
I'll need to find the links to some of this research.
So, at this point I believe that
a) random entry/exits (say on the daily S&P with buy/sell) since it has long-side bias.
b) consistent position sizing.
c) Skewed Risk Reward (ie 3:1, etc).
... will actually unbelievably be a huge edge. Why? Consistent sizing even in drawdowns or equity highs, not panicking out at the wrong times, and skewed R/R meaning even if the odds were 50/50% theoretically it would still be positive expectancy.
This would be versus variable sizing (ie smaller or extremely large during DD, oversizing at equity highs typically), stopping out because of professionals fading common patterns (actually giving WORSE expectancy than random), and interpretation of results affects future performs (overconfidence/underconfidence, patterns working not working, the world out to get you whatever...).
William O'Neal stated (read somewhere) that one of his great disappointments was that none of his investors got the results that he posted. WHY? Because they added money at equity highs and took money out during drawdowns (This results in inferior performance is the long-term equity curve is up).
This is HUGE HUGE stuff, imho and really attacks most of what traders believe.
Unbelievable, this means the less you know the better you might do. This really attacks the psych of the trader.
(I trade ATS btw).
I'll be travelling so write and post some of my stuff when I can or when I get back.
Cheers.
So, for example, you're "edge" might work in the first 1000 samples, but over the long-term it might be negative. This is one of the eternal questions for edge development (ie is your sample so small that its NOT significant), and how will you quanitfy in the future that you're edge isn't an edge at all (or maybe its BETTER than you thought).
Interestingly, this brings the point to position sizing, once again referring to Fortune's Formula when Thorp realized that that the player had a statistical edge in blackjack (versus what was believed, it was very small). Yet people still consistently loss.
I also have research demonstrating this with a positive expectancy game where most players lost (they're only option was to adjust their bet size).
Why? Because even with coin flips 5 losers in a row ppl with lower their bet size, and 5 winners in a row vice versa. (Actually in big Drawdowns many traders oversize to "get it back"). Consistent position sizing is a HUGE HUGE edge in my opinion.
I'll need to find the links to some of this research.
So, at this point I believe that
a) random entry/exits (say on the daily S&P with buy/sell) since it has long-side bias.
b) consistent position sizing.
c) Skewed Risk Reward (ie 3:1, etc).
... will actually unbelievably be a huge edge. Why? Consistent sizing even in drawdowns or equity highs, not panicking out at the wrong times, and skewed R/R meaning even if the odds were 50/50% theoretically it would still be positive expectancy.
This would be versus variable sizing (ie smaller or extremely large during DD, oversizing at equity highs typically), stopping out because of professionals fading common patterns (actually giving WORSE expectancy than random), and interpretation of results affects future performs (overconfidence/underconfidence, patterns working not working, the world out to get you whatever...).
William O'Neal stated (read somewhere) that one of his great disappointments was that none of his investors got the results that he posted. WHY? Because they added money at equity highs and took money out during drawdowns (This results in inferior performance is the long-term equity curve is up).
This is HUGE HUGE stuff, imho and really attacks most of what traders believe.
Unbelievable, this means the less you know the better you might do. This really attacks the psych of the trader.
(I trade ATS btw).
I'll be travelling so write and post some of my stuff when I can or when I get back.
Cheers.

