Our proof of concept is the AI powered Quantitative Semi-Passive ETF Investing System with Robust Downside Protection prototypes:
Low Risk Model
- works exactly the same as the regular passive Buy and Hold investing model in broad S&P 500 fund, but cuts the major drawdowns by 50% and saves a lot of money, pain and anxiety and provides better than average return per year.
High Yield Model
- same risk profile as Buy and Hold investing model in broad S&P 500 fund, but provides 4X average return per year.
Both Models are using high volume ETFs tracking the major US companies like SPY, QQQ, etc to generate those returns. This is a redundant system, each node operates independently, monitoring the markets and ready to take action. On average the systems make around 2 portfolio changes per year. The systems are generating real returns. The systems are not using large language models, prompts or any other kind of generative AI - that’s the beauty and simplicity about all of this.
The same approach to structured data can be used in other fields besides investing like weather, climate, bio, health; basically the sky is the limit!