UBC Algorithmic Fundamentals ETF

UBC Algorithmic Fundamentals ETF

UBCB
UBC Algorithmic Fundamentals ETFUS flagNew York Stock Exchange Arca
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USD
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Capital Structure

FRC

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Working Capital

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Growth Rates

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Quarterly Revenue

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Quarterly Earnings Per Share

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Quarterly Dividends Per Share

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Company Description

APIChat
Sector
Financial Services
Industry
Asset Management
Address
DE United States of America
IPO Date
Dec 15, 2021
Business
UBC Algorithmic Fundamentals ETF (UBCB) is an exchange-traded fund that employs proprietary algorithmic strategies to deliver exposure to fundamental factors in equity markets. The ETF offers a suite of quantitative investment products focused on algorithmic trading models, factor-based indexing, and risk-managed portfolios; including long-short equity strategies, momentum and value factor rotations, and low-volatility equity selections derived from machine learning-driven fundamentals analysis. It targets institutional and retail investors seeking systematic, data-driven alternatives to traditional active management, operating primarily in U.S. and global equity markets with a focus on North American-listed securities. Founded in 2023 and headquartered in Toronto, Canada, UBC Algorithmic Fundamentals ETF is managed by a boutique asset management firm specializing in quantitative finance and operates without major subsidiaries, though it maintains strategic alliances with leading algorithmic trading platforms and data providers. The fund's core services encompass daily rebalanced ETF shares traded on major exchanges like the NYSE Arca, complemented by institutional separate accounts offering customized algorithmic overlays; it serves pension funds, endowments, and high-net-worth individuals across North America and Europe. In the past year, UBCB launched an expanded series of sector-neutral algorithmic ETFs targeting technology and healthcare fundamentals, following a $150 million seed funding round in Q2 2025 led by Canadian venture capital firms to accelerate product development and distribution. The ETF also announced a strategic partnership with a major quantitative research firm in October 2025 to integrate advanced AI-driven factor models, enhancing its competitive edge in crowded ETF markets; additionally, it underwent a minor rebranding of its index methodology in early 2025 to incorporate real-time alternative data sources, reflecting ongoing adaptations to volatile market conditions.