Based on your financial expertise, Boosted learns and identifies patterns that generate additional opportunities for institutional investors. No background in coding or data science needed.
Download White PaperYou control all inputs in the process by selecting your investment universe, features, investment horizon, goals, and more.
Boosted.ai’s proprietary, finance-specific machine learning algorithms identify patterns based on your unique inputs. We also highlight which features drove the machine learning decisions and outcomes.
Your stock universe is dynamically ranked based on your goals and objectives. Boosted Insights can also explain the top features that drove its decision.
Our advanced portfolio construction tools allow you to implement our machine learning to optimize your portfolio to reduce risk, maximize Sharpe ratio, combine different models or construct your entire portfolio within factor constraints.
A backtested model is created that you can analyze. All client data inputs and models are completely secure in the cloud and accessible only to them.
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.
Partner
Partner $600 million European based Long/Short Hedge Fund
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.
Portfolio Manager
Portfolio Manager $1B US based Long/Short Hedge Fund
February 24th, 2021
Curious about machine learning for investment management? Check out this infographic, which illustrates how Boosted.ai combines your capital markets expertise with big data, adds our proprietary, finance-specific machine learning algorithms and then generates ideas for your portfolio. Our machine learning takes your inputs and works to create a dynamically ranked list of stocks that can
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Executive Summary Machine learning in investment management works very well on bottom-up fundamental analysis Using artificial intelligence to practice factor timing is also predictive Factor timing aggregates the star rankings and factor scores the machine learning assigns to each equity in a user’s stock universe Our AI factor timing led to average returns of +1.42%
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Cromulent. Embiggens. Quantamental. They all sound made up, right? Strangely, some investors might be more familiar with the first two terms (Simpsons references all the way from the 1990s) than the last. Quantamental is a portmanteau, combining quantitative and fundamental asset management styles, for the best that both strategies have to offer. Quantitative Challenges Quantitative
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