The financial markets are constantly in flux, complex dynamics emerge and change shape while feedback loops muddy the waters. Passive investors believe that this all doesn’t matter. As active investors we believe that understanding these interactions gives us an enormous advantage when looking to maximize the performance of a portfolio.
Investifai's proprietary portfolio management system dynamically adjusts its allocations to various asset classes as new information becomes available. The new information feeds through the deep structure of the model, adjusting predictions and, in turn, informing the allocations. The magic is in the dynamic way that the artificial intelligence anticipates market disruptions and opportunities.
The value of $100 invested at the beginning of 2012. Hover over any point in the performance chart to see the model's allocations to each instrument at that time.
- EMB - Emerging Markets Bond ETF
- EEM - Emerging Markets Stock ETF
- VIG - Dividend Appreciation ETF
- SHY - 1-3 Year Treasury Bond ETF
- LQD - Investment Grade Corporate Bond ETF
- XLE - Energy Select Sector SPDR Fund
- MUB - US Municipal Bond ETF
- VNQ - Real Estate ETF
- IVV - Core S & P 500 ETF
- TIP - TIPS Bond ETF
- Cash - Cash (USD)
- EFA - EAFE Stock ETF
Investifai’s AI-driven portfolio management platform is designed to look for exploitable structure in vast amounts of financial data. This structure is often the result of numerous behavioral biases that combine and aggregate to cause temporary, irrational dislocations.
By using an unbiased approach to investing Investifai avoids the cognitive traps that beset many investors.Sign Up
Investifai's Proprietary Platform
Access to 20+ markets
Adaptive Asset Allocation
Allocations adapt to market fluctuations
Low Execution Fees
Liquid, low cost and high-quality ETFs
Effective Risk Management
Tactical risk taking and avoidance
Machine Intelligence Platform
Advanced machine learning models
Powerful Alpha Models
Consistent excess returns
Proven Quantitative Strategies
Quantitative scientific approach
Novel Data Sources
Utilising traditional and non-traditional data sources