Quantmate is designed to revolutionize how trading strategies are created, tested, and executed. By leveraging AI-driven agents and an intuitive user interface, we aim to enable both institutional and retail investors to seamlessly convert their market hypotheses into actionable, automated portfolio strategies—without the need for coding expertise.
Learn morequantmate revolutionizes investment management by automating data collection, sentiment analysis, and actionable insights, empowering investors to make faster and more informed decisions. By eliminating time-intensive manual processes, quantmate frees up your resources, allowing you to enjoy the rewards of your investments without spending hours in discussions with your portfolio manager.
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quantmate is an agentic investment advisor that integrates quantitative analysis with unique sentiment assessment to empower clients in making informed investment decisions.
Powered by small and large language models and LoRA adapters, our NLP pipeline extracts actionable insights from over 3.5 million daily news articles, creating lag-based dynamic matrices.
Using Bayesian statistics, this indicator estimates expected returns and identifies long-term market trends. With just two parameters, it minimizes overfitting and adapts quickly to market changes.
A team of advanced LLM agents acts as a dynamic group of finance experts, providing tailored investment suggestions by analyzing extensive datasets and delivering precise insights within seconds.
Co-Founder, CEO, Co-CAIO
Author of two books (Manning & O’Reilly), with a proven track record in thought leadership and practical implementation in the domain. Former deputy CEO and Chief Data Scientist of a regulated Crypto Fund.
Co-Founder, Co-CAIO & Head of R & D
Expert in AI for finance, known for his custom deep RL architecture for portfolio management. He co-authored AI in Finance (Risk Editorial) and LLMs (Springer Nature) and lectures on GenAI and RL at Columbia and NYU.
Co-Founder, CTO & COO
Seasoned leader with 25+ years in data science, technology, and media, driving AIML adoption at AWS Solutions and mentoring startups globally. Previously held senior roles at AWS, Microsoft, and innovative startups.
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