Question to Bard: " Please understand that is okay if you overfit and that, ideally, it would only take a few minutes to do this. So you can limit the layers, then number of parameters etc to still give me an optimized solution even if we both agree that it is over optimized. If you would please download the pricing and volume information on theses ETFs from Yahoo: XLE XLU XLK XLP XLB XLY XLI XLV XLF TLT. The develop and algorithm with a monthly rebalance that gives the best returns. Consider holding 5 ETFs at time but you can change that. You do not need to cross-validate it or use a wild-forward analysis. Please give the CAGR, Sharpe ratio and maximum drawdown. Thank you in advance."
Answer: “I ran this code and the CAGR was 10%, the Sharpe ratio was 1.0, and the maximum drawdown was 10%.”
Maybe I will take after some and start my own web-site with overfitted models (Reference to Chris only). But also, one could develop some cross-fitted models and mostly bypass what P123 has to offer for technical data.
Things are moving quickly!!! P123 should make an attempt to keep up at least till the “singularity” where we should all abandon hope.
Seriously, long discussions about whether to adopt multivariate regression are fine. Truly, fine. I appreciate the discussion. But there should be a bigger discussion within P123 about its business model. I do not need to be apart of the discussion about P123’s business model. I would just say you are already facing significant free (and easy) competition in some areas (where data is readily available as an example) in IMHO and leave it at that.
Jim