Developed by Kavout Corp and adopted by global quant funds with billions under management.
Database with over 1000 factors from research papers to engineering
Adaptive asset allocation between fixed income and stocks based on the overall sentiment of the market.
Lower risk comparing to index and exceeds index’s performance
Systematic strategies powered by machine learning. For the high-risk investor.
Performance and Risk Measurement | Kai Equity, US Large Cap | SPY | |
---|---|---|---|
Annual Return | 9.7% | 9.8% | |
Annual Volatility | 21.0% | 17.6% | |
Max Drawdown | -16.8% | -24.5% | |
Sharpe Ratio | 0.54 | 0.62 | |
*Return calculation method:time-weighted average |
Systematic strategies powered by machine learning. For the low-risk investor.
Performance and Risk Measurement | Kai Dynamic Asset Allocation | SPY | |
---|---|---|---|
Annual Return | 4.0% | 9.8% | |
Annual Volatility | 8.9% | 17.6% | |
Max Drawdown | -11.7% | -24.5% | |
Sharpe Ratio | 0.48 | 0.62 | |
*Return calculation method:time-weighted average |
Feifei has 20 years of experience in the investment industry, primarily worked on quant equity strategies and asset allocation models.
She was the former CIO of Equities at Research Affiliates and responsible for strategies with over $100 billion assets being managed.
Alex has over 20 years of experience in machine learning and big data technologies.
Formerly he served as CTO at a public FinTech company and has held various management and research positions at Google, Microsoft, and Baidu, etc.
Successful Serial entrepreneur in Material Science and Real Estate Asset Management for 12 years
Ling has over 10 years of experience in the investment industry serving institutional clients, specialized in asset allocation, portfolio risk analysis and risk management .
Formerly Senior Risk analyst at Verus Investors and Verus Advisory, Industrial/financial strategist (ProUnlimited @ Goldman Sachs) Chartered Financial Analyst (CFA)