Hello all,

Hello all,

– New custom data import procedure
– 5th episode of our YouTube video series QuantBeats
– Interview with the winners of Quantpedia Awards 2025
– 10 new Quantpedia Premium strategies have been added to our database
– 9 new related research papers have been included in existing Premium strategies during the last month
– Additionally, we have produced 8 new backtests written in QuantConnect code
– 5 new blog posts that you may find interesting have been published on our Quantpedia blog in the previous month

Hello all,

– Parameter tayloring for three Quantpedia Pro reports
– New strategy embeds
– 4th episode of our YouTube video series QuantBeats
– Reminder of the exclusive Lightspeed offer to obtain 12 FREE MONTHS of Quantpedia Premium
– 12 new Quantpedia Premium strategies have been added to our database
– 10 new related research papers have been included in existing Premium strategies during the last month
– Additionally, we have produced 7 new backtests written in QuantConnect code
– 4 new blog posts that you may find interesting have been published on our Quantpedia blog in the previous month

Six new strategies have been added. Four new related research papers have been included into existing strategy reviews and three short free blog posts have been published during last few weeks. Plus, four trading strategies have been backtested in QuantConnect in the previous two weeks.

When using machine learning to forecast global equity returns, it’s tempting to focus on the raw prediction—whether some stock market is expected to go up or down. But our research shows that the real value lies elsewhere. What matters most isn’t the level or direction of the machine learning model’s forecast but how much it differs from a simple, price-based benchmark—such as a naive moving average signal. When that gap is wide, it often reveals hidden mispricings. In other words, it’s not about whether the ML model predicts positive or negative returns but whether its view disagrees sharply with what a basic trend-following model would suggest. Those moments of disagreement offer the most compelling opportunities for tactical country allocation.

Hello all,

– Added support for EUR-denominated ETFs
– Winners of the Quantpedia Awards 2025 competition were announced
– An exclusive Lightspeed offer to obtain 12 FREE MONTHS of Quantpedia Premium has been unveiled
– 11 new Quantpedia Premium strategies have been added to our database
– 11 new related research papers have been included in existing Premium strategies during the last month
– Additionally, we have produced 7 new backtests written in QuantConnect code
– 5 new blog posts that you may find interesting have been published on our Quantpedia blog in the previous month