Blog
Health Care – Kai Enhanced Sector Portfolio (Weekly Rebalance)
Kavout has developed several model portfolios based on vetted and established trading strategies and augmented with AI algorithms. In this article, we present an example of our Kai Enhanced Sector Portfolio.
A Year-end Reflection and Looking Ahead at 2019
As the year 2018 coming to an end, it is time to reflect on our journey and the changes we’ve seen in both our organization and the industry. Since 2016, Kavout has been leading the frontier of technology innovation in the application of artificial intelligence (AI)...
How traders can identify patterns and discover trading events more quickly and objectively with the help of AI
Experienced traders know the advantages of trading chart patterns to maximize earning potential. Chart technicians, otherwise known as chartists, study charts of a security’s historical price to make a prediction of its future price target. Traders and chartists draw...
Two-tier sector rotation portfolio: A data-driven quantitative approach to a multi-layer tactical asset allocation
At Kavout, we believe that the application of artificial intelligence (AI) and machine learning (ML) is the next transformative force to change the investment and wealth management landscape. Kavout has developed model portfolios based on vetted and established...
How Kavout is using AI to help analysts augment factor-based asset selection
We recently spoke with Isabell, Kavout’s Chief Commercial Officer, to discuss factor-based asset selection methods which include traditional approaches to developing them, and some new solutions Kavout has developed to make analysts smarter and getting better at what...
5 reasons you should consider machine learning methods for assets price forecasting
The financial industry has developed a variety of analytical tools such as fundamental analysis, technical analysis, and statistical analysis for asset prices forecasting. While these traditional analytical methods are useful, it’s no longer sufficient to compete and...
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