Our Strategy
The fund’s investment philosophy is a two-pronged approach: we use sophisticated fundamentals systematically applied through state-of-the-art machine learning algorithms.
Process
g-Dono’s foundation is a continuous progression of design, refine, test, and repeat. By continuously generating, analyzing, and evaluating new opportunities, our trading and research team systematically integrate new models inspired by economic hypotheses into our investment strategies.
Analysis
Analyzing historical and current data through quantitative modeling and predictive analytics, we are able to profoundly understand the underlying patterns within a market, and improve the overall accuracy of our vision.
Implementation
We’re meticulous in every aspect of our investment approach. Implementing a broad range of investment strategies allows us deploy our capital with one eye on generating real alpha, and the other on effectively managing risk.
Synergy
We believe teamwork is essential for effective risk management. Our small team enables us to seamlessly integrate all components of our investment approach. By working together in managing risk, we have established a dynamic that ensures portfolios are manageable through sudden and severely adverse stress events.
Performance
G-Donation seeks to generate alpha by investing in commodities, currencies, and securities in global markets by combining rigorous fundamental research with mathematical and statistical models to identify and execute on investment opportunities.
| |
G-Donation |
S&P 500 |
| Sharpe Ratio |
2.08 |
0.41 |
| Beta |
3.12 |
1.00 |
| Alpha |
10.64% |
0.00% |
| 2020 YTD |
14.73% |
-3.92% |
| 2019 |
42.81% |
11.83% |
| All-Time return |
63.85% |
-3.92% |
| Annualized Rate of Return |
50.87% |
6.13% |
All performance results are net of fees and include dividends and other adjustments. 2020 YTD results are from 1/1/20 through 7/4/20. 2019 results are from Dono’s launch date of 4/20/19 through 12/31/19. All-Time Return is from Dono’s launch date of 4/20/19 through 7/4/20.
Who we are
We are a small group of individuals with a wide range of personal interests, backgrounds, and skillsets who are looking to push themselves and support our clients in their charitable giving in a sustainable and effective fashion. Our expertise spans macro views, monetary policy, and the intersection of big data and machine learning.
Gaurav Tripathi
Co-founder, Managing Director
Tripathi has over 7 years of experience trading currencies and securities, applying the global macro and quantitative strategies that Dono uses today. He has conducted research on European monetary policy at Bocconi University and is currently studying at Phillips Exeter Academy with a concentration in Math and Economics.
Gaurav Tripathi
Co-founder, Managing Director
Gaurav Tripathi grew up in Moscow, Russia, writing his first line of code at 7 years old. At Dono, he applies his passion for machine learning to the markets. He is currently studying at Phillips Exeter Academy with a concentration in Computer Science and Math.
Gaurav Tripathi
Head of Design, Chief Architect
Gaurav Tripathi Starting coding at nine and design at eleven, Alex began his journey into the world of technology at a young age. His broad range of skills allowed him to gain real world experience working for corporate clients including Google, Duuzra, and more.
Gaurav Tripathi
Head of Quantitative Trading
Gaurav Tripathi has extensive experience as a software developer for Venafi Inc. and Acorn AI. At Dono, along with leading the quantitative division, he studies the implications of machine learning in regards to statistical arbitrage and value investing. He is currently studying computer science at Stanford University.
Gaurav Tripathi
Macro-Advisor
Gaurav Tripathi to joining Dono, Neil served as the senior analyst for Daily Thermetrics where he studied the power and fuel markets with a focus on risk analysis and stochastic processes to support the expansion of Daily Thermetrics. He is currently studying economics at the University of Miami.
