Interesting article.
https://blog.shrimpy.io/blog/case-study-using-machine-learning-for-portfolio-managementThey have been tracking the performance of 4 different portfolio strategies:
Bitcoin HODL, CoinGecko, Nomics ML, and market-cap indexing.
So far the portfolio using machine learning is in the lead. It's based on the top 10 cryptocurrencies that
were predicted to perform the highest for the next 7 days. The BTC HODL is the worst performing.
https://www.shrimpy.io/leader/mlcasestudyNEM was selected in 7 of the 17 weeks.
week 2, May 18, 2020 #9. XEM Projected 7-day profit: +8.01%
week 4, June 1, 2020 #7. XEM Projected 7-day profit: +11.31%
week 8, June 29, 2020 #5. XEM Projected 7-day profit: +14.6%
week 11, July 20, 2020 #8. XEM Projected 7-day profit: +12.59%
week 13, August 3, 2020 #10. XEM Projected 7-day profit: +22.65%
week 15, August 17, 2020 #10. XEM Projected 7-day profit: +22.68%
week 17, August 31, 2020 #2. XEM Projected 7-day profit: +53.53%
In any model projected will differ from actual, but there is something deep within the market data that keeps
signaling NEM.
My strategy is the couch-potato XEM HODL.