I am just following up here on AZ’s comment. The performance of my Cloud Computing DM has been “unremarkable” in comparison with the SKYY ETF. I have attached the performance graphs in this post below.
However, I would also like to show how the DM performed after initial release (first year) and also after it was revised on Nov 20, 2020. The outperformance of the DM post-optimization has been pretty good. The problem is that I did not re-optimize periodically once I initially released the model. That is my bad.
These graphs are only anecdotal and of course not exhaustive proof for anything. But they do support my rule of thumb which is to only run an optimized model out-of-sample for 1/4th to 1/5th the time period of the in-sample optimization period. For my models, I optimize (in sample) over the last 5 years. Then I allow the portfolio to run for one year. Then it should be re-optimized again for the five years and allowed to run for one year i.e. rinse and repeat.
As an aside, Cloud Computing is beating the pants off of every other market niche. I encourage everyone to get in on this, buy the SKYY ETF or whatever. We are witnessing the fourth industrial revolution.
SteveA