Ultra Blue Capital Launches Algorithmic Fundamentals ETF, “UBCB”
On Thursday, Ultra Blue Capital LLC, an AI-based asset management company powered by technology and quantitative science, launched the UBC Algorithmic Fundamentals ETFs (UBCB).
UBCB is actively managed by proprietary artificial intelligence (AI) algorithms. Under normal circumstances, the Fund invests at least 80% of its net assets in large cap companies listed on the US stock exchanges and markets, including common stocks, American Depositary Receipts (“ADR”) and funds traded in US. stock exchange (“ETF”) that provide exposure to large cap companies.
The Fund will likely hold 40 to 100 different positions across a wide range of sectors, as dictated by its proprietary investment models. It operates like an “undiversified” fund, which means it can invest in fewer securities at a time than a diversified fund. The Fund’s systematic investment process is based on a rigorous ex post review of proprietary and scalable data-driven strategies and is designed to enable the Fund to achieve attractive risk-adjusted returns.
Robo-advisers are increasingly popular and have been shaping the investment world for years. “Machine learning is evolving at an even faster rate and financial institutions are one of the first adapters,” said Anthony Antenucci, vice president of global business development at Intelenet Global Services, in 2019. The technology continued to grow flourish since.
UBCB will look to leverage AI to drive big returns for investors.
For more information, visit www.ultrabluecap.com.
Ultra Blue Capital LLC is a technology-driven, quantitative science-based AI-based asset management company aimed at unlocking profitable investment decisions. UBC invests in equity and income strategies to target a range of performance outcomes. These strategies share a common underlying technology-driven investment engine.
Their smart, in-house system applies machine learning algorithms to large, holistic macroscopic and microscopic data to predict stock price movements as well as company, industry and economic fundamentals. Our machines actively and automatically invest, divest, rebalance and hedge our funds. This systematic trading approach minimizes errors and emotional and irrational influences, thereby optimizing and stabilizing returns.
Their goal is to decode complex adaptive systems to meet major investment challenges.
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