Boosted.ai gives you vital insight into your strategies and another proven, data-driven way to enhance your performance.
Our intuitive UI allows you to run as many backtests as you need to prove (or disprove) a theory. API uploading makes using your own data a breeze.
Our co-founders quickly realized you can’t use existing machine learning algorithms in capital markets prediction, so they built their own finance-specific solution.
The average user sees a correlation with their primary model of between 0.2 and 0.3 from Boosted.ai Signals
The overall performance is higher with Boosted.ai Signals in 90% of tests
Observe 20-30% improvement in Sharpe from using our machine learning Risk Model
Boosted Insights normalizes data for users so all opportunities surfaced are comparable. All our pre-loaded data sets are cleansed and our machine learning identifies possible outliers in your data.
Learn how our machine learning overlay improved alpha for investment funds, simply by reweighting the portfolio’s positions – without adding a single new stock.
We selected Boosted.ai to provide us with finance-specific machine learning algorithms as we share a similar vision of how explainable AI will improve the day-to-day decisions made by asset managers around the world.”
It is inherently difficult for financial firms to build a central repository of machine learning knowledge, which is one of the main reasons why only a handful of managers can claim to power their investment processes through AI. Boosted.ai is becoming a necessary nucleus for machine learning expertise within asset management.
Boosted.ai helps us create optimal models to screen for the best ideas in our universe. Our analysis shows that we add more alpha when we combine our conviction—both long and short—with that of the models from Boosted. It has been a predictable, explainable and additive process for our team.
Boosted.ai has become an integral part of our team’s research process in identifying equity short positions. The platform is easy to use and efficiently highlights relationships that aren’t always obvious, which allows us to have a first mover advantage in selecting stocks that help us meet our objectives.