Trend Switch
NAS 100
The strategy seeks to capitalize on trends in the market by investing in large-cap growth stocks via ETFs when they are trending upwards, and moving to cash or cash-like instruments when they are trending downwards.
Risk On, Risk Off
Each week our model decides on a "risk on" or "risk off" signal. When the model signals "risk-on", conditions are favorable for high-risk investments. When it signals "risk-off", the model perceives increased market risk and reduces exposure to riskier assets.
Global Macro
Our advanced model considers a range of influential factors, including CPI, installment debt, PPI, yield curve, market momentum, earnings, monetary policy, market valuation, advisor sentiment, and market volume dynamics.
Long-Term Growth
This approach aims to maximize gains in favorable conditions and protect capital during market downturns, dynamically balancing risk and reward.
Machine Learning
Utilizing machine learning and historical data, the Trend Switch strategies analyze key market indicators to predict weekly market returns, thereby guiding dynamic risk management.
Less Risk
The model predicts upcoming market returns from recent data and historical patterns, enabling dynamic risk management and optimized performance in varying market conditions.
Cyborg PM
This strategy is systematically managed by advanced technology, utilizing machine learning in a fully automated process to predict market returns and optimize risk management, thus ensuring consistent, data-driven investment decisions.