Top 10 stocks selected amongst the 600 highest market cap European stocks through the Brain Machine Learning Stock Ranking dataset, with uniform weights and monthly rebalancing. A benchmark is built using the equally weighted components of the investment universe. The performance of the strategy (blue line) and of the benchmark (red line) with the main metrics are shown in the picture below. Commissions are not included.
Top 30 stocks selected amongst the 600 highest market cap European stocks through the Brain Machine Learning Stock Ranking dataset, with uniform weights and monthly rebalancing. A benchmark is built using the equally weighted components of the investment universe. The performance of the strategy (blue line) and of the benchmark (red line) with the main metrics are shown in the picture below. Commissions are not included.
Top 50 stocks selected amongst the 600 highest market cap European stocks through the Brain Machine Learning Stock Ranking dataset, with uniform weights and monthly rebalancing. A benchmark is built using the equally weighted components of the investment universe. The performance of the strategy (blue line) and of the benchmark (red line) with the main metrics are shown in the picture below. Commissions are not included.
A long-short market neutral portfolio is built using the Brain Machine Learning Stock Ranking dataset to select the the top/bottom 30 stocks amongst the 600 highest market cap European stocks, with uniform weights and monthly rebalancing. The performance of the strategy (blue line) with the main metrics is shown in the picture below. Commissions are not included.
Top 30 stocks selected amongst the 600 highest market cap European stocks through the Brain Machine Learning Stock Ranking dataset, with uniform weights and monthly rebalancing. The Brain Dynamic Volatility Signal is used as risk overlay. During the Risk On periods the equity strategy is implemented, during Risk OFF periods the strategy invests on a "safe heaven" asset.
A benchmark is built using the equally weighted components of the investment universe. The performance of the strategy (blue line) and of the benchmark (red line) with the main metrics are shown in the picture below.
Commissions are not included.
The strategy invests every month on the top three sectors (using the corresponding ETFs as a proxies) that had the best sentiment from financial news in the previous few months. The selection process is based on the Brain Sentiment Indicator dataset that uses an A.I. proprietary engine to analyze financial news from thousands of financial media sources.
A benchmark is built using equally weighted sectors. The performance of the strategy (blue line) and of the benchmark (red line) with the main metrics are shown in the picture below. Commissions are not included.