Senior housing and mortgage reporter focused on market-moving coverage of mortgage lenders, servicing, fintech and policy, providing investors and operators timely analysis and deal flow intelligence. Kelly Richert writes on regulatory developments, loan performance trends and secondary-market dynamics, and is often cited by industry participants and asset managers for actionable reporting that informs risk assessment and capital allocation decisions.
Senior housing and mortgage reporter focused on market-moving coverage of mortgage lenders, servicing, fintech and policy, providing investors and operators timely analysis and deal flow intelligence. Kelly Richert writes on regulatory developments, loan performance trends and secondary-market dynamics, and is often cited by industry participants and asset managers for actionable reporting that informs risk assessment and capital allocation decisions.
Leverages market intelligence and regulatory insight to prioritize capital allocation toward mortgage- and senior-housing-related opportunities where information asymmetry can be exploited. Emphasizes data-driven risk assessment, credit-cycle sensitivity, and secondary-market dynamics, favoring flexible, liquid instruments and short-to-medium horizons to respond to policy shifts. Underwrites investments with operational diligence, stress-testing loan performance and servicing economics, and maintains a bias for positions that benefit from transparent, high-frequency signals.
Leverages market intelligence and regulatory insight to prioritize capital allocation toward mortgage- and senior-housing-related opportunities where information asymmetry can be exploited. Emphasizes data-driven risk assessment, credit-cycle sensitivity, and secondary-market dynamics, favoring flexible, liquid instruments and short-to-medium horizons to respond to policy shifts. Underwrites investments with operational diligence, stress-testing loan performance and servicing economics, and maintains a bias for positions that benefit from transparent, high-frequency signals.
| Trades 1615 | Longs Won 901/1615 55% | Profit Factor 20.99 |
| Profitability | Shorts Won 0/0 0% | Standard Deviation $258,937.46 |
| Average Win $79,623.56 | Best Trade (Aug 10) $5.82M | Sharpe Ratio -18.32 |
| Average Loss -$4,786.99 | Worst Trade (Jun 29) -$221,371.47 | Z-Score -0.61 (46.09%) |
| Commissions $0 | Avg. Trade Length 8m 3d | Expectancy $42,305.21 |
| Loss Size | 100% | 90% | 80% | 70% | 60% | 50% | 40% | 30% | 20% | 10% |
| Probability of Loss | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% | <0.01% |
| Consecutive Losing Trades | 38,462 | 34,615 | 30,769 | 26,923 | 23,077 | 19,231 | 15,385 | 11,538 | 7,692 | 3,846 |