The AllocateRite () investment and risk management platform minimizes the risk of large institutional clients and individual investors alike. The advantage: lower taxes and better risk-adjusted performance. After all, everyone needs capital preservation, appreciation, and income.
dynamically rebalances client portfolios according to economic conditions. Unfortunately, “intelligent” robos and approaches founded on “modern” portfolio theory burden users by requiring superfluous demographic information like age and income, and, more tragically, recommend static allocations across asset classes. provides the same quality of investment advice previously only afforded to top institutions and high net worth individuals, with drastically lower fees.
Sector ETFs and Cash Management
AllocateRite invests in stock ETFs that each represent one of the eleven sectors of the S&P 500, as well as ETFs for bonds and international markets, and cash. The platform chooses the best allocation over these ETFs and cash to help manage risk and reduce taxes.
The cash management is built in. Cash earns interest by being invested in fixed income, yet is available for withdrawal any time. Compared to alternatives like individual stocks or mutual funds, ETFs enjoy greater liquidity, diversification, tax advantage, and lower fees. AllocateRite’s products are long only. Explore its portfolios last month (Link to pie charts as shown under “Your portfolio” but displayed in sequence rather than having to click through them) or join now for the latest.
Built on top of the bleeding-edge fields of data science and machine learning, delivers state-of-the-art AI. It values liquidity, making it ideal for risk management, dynamic allocation, and cash management. Preferring common sense, the AI eschews flawed economic theories.
Unlike economics, data science is founded on empirical reality, complemented by the mathematically proven guarantees of statistical theory. Machine learning ensures scalability to handle big data and furnish deep models. In contrast, economic theories are nearly universally based on assumptions of stationarity, equilibrium, or other unrealistic simplifications. Because the AI is systematic and smart, it avoids second-guessing itself, impulsiveness, herd mentality, overly optimistic appraisals of its abilities to forecast, and other causes of mistiming the market.