Alex Lu is the Co-Founder of Kavout and an expert in Artificial Intelligence and Machine Learning with over two decades of experience in the field. He has held positions such as technology leader at Google, Microsoft, Baidu, and JLL Technologies where he gained experience in areas like search, big data, software engineering, and fintech. He co-founded Kavout in 2015 with the purpose of integrating the principles of AI and machine learning into quantitative finance and financial markets research.
Alex Lu gained an excellent educational background spanning three continents. His college education started with a B.Sc. in Applied Mathematics from Tsinghua University, which was then followed by an M.Sc. in Computer Science from the University of Maryland. Columbia University provided the final touch to Alex's educational background, where he earned an MBA in General Management.
Alex Lu worked in high-level technical and managerial positions in some of the biggest tech firms before founding Kavout with roles such as Engineering Director in Baidu, Principal Program Manager at Microsoft and VP of Search Technology in Shanda Interactive Entertainment. The technical experience helped him start Kavout as CEO and co-founder by bringing machine learning technology to finance.
Kavout uses Artificial Intelligence and Machine Learning in investment research by leveraging market data, quant modeling, deep learning, and intelligence to create signals, security analysis, and portfolio management.
Smart Money : It is a tracking system designed to find real-time information about activities of insiders, Congress members, Wall Street analysts, and influential investors before the reaction of the market to these activities takes place.
AI Stock Picker : Utilizes AI-based stock screening systems to find stocks, ETFs, and cryptocurrencies with high potential from huge amounts of data. Algorithms use proven approaches like Greenblatt's Magic Formula and Lynch's Growth Momentum to increase the efficiency of their analysis.
InvestGPT: Generative AI assistant that provides immediate and conversational answers to investment questions related to stocks and market trends. The application uses prompt-based research abilities to interpret natural language questions and provide structured data-backed answers.
Smart Signals: Real-time alerts and idea generation systems based on analysis of fundamental, technical, and alternative data. Signals for entry and exit are created across different asset classes like stocks, ETFs, and cryptos.
Portfolio Intelligence: Tools for portfolio allocation, risk management, and correlations utilizing deep learning. This combination of sector-by-sector and cross-sector analysis, along with factor screening, is used to construct well-diversified allocations.
The expansion of Kavout has been characterized by accolades within the very industry that Kavout wanted to shake up. It received an award as Top 5 Best Early Stage AI Startup in NVIDIA Inception 2017, emerged as the finalist for Best Finding Alpha in the Benzinga 2017 Fintech Awards, and won the Fintech Startup Competition in FINCON 2016. Kavout made its presence felt as part of the PNP Financial Technology Acceleration Camp, among many other AI venture capital companies, because of its use of artificial intelligence and big data in securities investment and wealth management. Kavout's K Score solution gained its international presence through its integration with Open: FactSet and IEX Cloud, as well as international launches in the United Kingdom, Germany, STOXX Europe 600, and China, as it continued to grow from a startup in Seattle to become a known player in AI-powered investments.
No serious public controversies are associated with Alex Lu. Across a career spanning Baidu, Microsoft, Shanda Interactive, and Kavout, recognition has come through steady technical leadership, entrepreneurial vision, and consistent contributions to applying AI-powered investment approaches within capital markets.