Edges that cannot be negated by others.
Structural edges work in this way. Informational and structural edges can't be negated by others, and they can't be arbed away. In fact, they usually involve arbitrage of some kind.
Edges that cannot be negated by others.
Hi,
Just wondered what your thoughts were on walk forward optimization as a way to test the robustness of a system?
I have done conventional walk-forwards, so for example build a systems based on 4 years of data (sample of around 350 trades) and then test that system on the most recent two years of data. I have systems that work on this basis which is a good sign you have robustness in your strategy. However if I try a walk forward optimization (so for example optimize every 30 days then restest 10 days out of sample) over the same period it destroys the backtest.
Part of me thinks this means the system is not robust, the last 6 weeks or so of optimized settings should have some predictive value on the next 2 weeks.
However, the same system is profitable on a basic 4 year in-sample versus 2 year out of sample test with no parameter changes. Which is a positive sign.
I find it very hard to get any walk forward optimization backtests to produce profitable systems. I don't want to cheat myself by trading non robust systems but at the same time don't want to set an unrealistic bar whereby I throw out good systems.
What are your thoughts?
Not sure I understand.
Your walk-forward is optimizing using only 30 days/6 weeks of data? Why aren't you using 4 years like your other test?
richDude,generally speaking. Yes.
these are attempts to find the holy grail that doesn’t exist. What it may find is some temporary market behavior skewed away from randomness. But these skews will be discovered and arb’ed away quickly anyway.
you need a true edge like PTJ who can see the order flow faster than anyone else. Edges that cannot be negated by others.
Please provide proof forward walk testing is useless as back test.It’s as useless as backtest
Things have changed. It's a bit more difficult to manage trump tweets these days.
And I'm not even joking, it's a big problem for automated strategies these days.
Guess it depends what side of the fence you sit on. I know a couple of guys up close to a million this year mostly trading Trump tweets. Which I guess ties into my question of whether a strategy that reoptimizes regularly starts to adapt to changes in the market such as random spikes off of tweets that didn’t appear in the long term backtest