By AB Quant is a quantitative trading system focused on using artificial intelligence to build algorithms for top hedge funds. Quantitative trading currently accounts for more than 35% of global stock and cryptocurrency trading volume, thanks to powerful computer algorithms that turn raw market data into trading signals. Quantitative strategies blend math, code, and automation, making them the intellectual backbone of modern finance—complex but indispensable.
United Kingdom, 29th Jul 2025 – AB Quant, a quantitative trading technology company founded in 2020, has announced a platform update aimed at increasing accessibility to algorithmic digital asset trading for individual and institutional users. The platform leverages artificial intelligence to automate trade execution across a variety of cryptocurrencies, including Bitcoin (BTC), Ethereum (ETH), and stablecoins such as USDT and USDC.
AB Quant’s trading engine is designed to identify and act on market inefficiencies through real-time data analysis. With a focus on scalability and efficiency, the system executes trades within seconds and incorporates ultra-low transaction fees to support high-frequency strategies.
“Our goal is to make quantitative trading tools more accessible to users regardless of technical background,” said a spokesperson for AB Quant. “This update reflects our commitment to simplifying digital asset engagement through intelligent automation.”
Platform Features
The AB Quant platform allows users to deposit supported digital assets—including USDT, USDC, ETH, TRX, and BNB—and participate in algorithmic trading contracts of varying durations. The platform’s AI engine analyzes historical and real-time market data to inform trade decisions, operating independently of user input once a contract is activated.
AB Quant reports that returns are calculated and settled daily, with earnings denominated in a range of supported cryptocurrencies. The minimum deposit to begin using the service is 100 USDT or equivalent, and no additional hardware or software setup is required.
Technology and Development
AB Quant’s algorithmic infrastructure is designed for speed and stability, with reported trade execution speeds between one to three seconds and a transaction fee model as low as $0.0002 per operation. These metrics are intended to support efficient portfolio rebalancing and market participation, particularly in volatile conditions.
Quantitative trading has become a core component of digital asset markets, representing a growing share of global trading volume. AB Quant’s team includes professionals in data science, financial modeling, and machine learning, focusing on scalable infrastructure and predictive modeling techniques.
About AB Quant
Founded in 2020, AB Quant specializes in algorithmic trading solutions for the digital asset industry. The company develops AI-powered strategies and infrastructure for use in both individual and institutional environments, with a focus on transparency, automation, and performance.
Website: https://abquant.net
Media Contact
Organization: AB Quant
Contact Person: Helen Lee
Website: https://abquant.net/
Email: Send Email
Country:United Kingdom
Release id:31523
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