I will write predominantly three types of articles.

• First and foremost, the meat of the publication is a long-form analysis of current market structures, macro and economic themes, which we can capitalize on in the long term as investors. These are not meant to be immediate reactions to events and news but are designed to think beyond quarterly PnL concerns and provide the justification to get in trades with conviction and size.
• Second, I will provide back-of-the-napkin commentary on markets designed to be live with developments. I’ll typically limit these to what I identify as most crucial to work through in the short term.
• Third are primers and methodologies on how to think about markets. These will not seek to provide answers but tools to analyze economic and financial data. These tools can range from conceptual frameworks to building intuition, Excel files, and code (typically Python or R).

In addition to these articles, I will provide the Macroscope, the models and monitors I use to understand economies, markets, microstructures, and companies. The difference between investing and gambling is that we can construct a consistent and repeatable framework to generate consistent (and hopefully positive carry) results. To achieve that, constructing quantitative frameworks that we can easily shift+f9 is essential but insufficient. Hence, I also dedicate a substantial portion of time to organizing the set of information in digestible written notes, which helps frame the investment process.

If you want intraday trading or short-term strategies, this is probably not your place. It is really hard to travel full time and put in trades to my broker while on some kayak in a cave with arguably spotty signal. I focus on developing a firm conviction through data analysis and financial modeling in an economic theme to construct a L/S basket, or strongly allocate to a specific company. I also have a strong focus on modeling the interaction between macroeconomic variables (commodities, energy, rates, FX, magic internet money, etc.) within the market microstructure we operate in to put in trades in size and hedges with minimal negative carry with a timeframe and tolerance to volatility beyond what is expressed by the market to extract excess returns on my book.

Ok, you got me; I am just gambling and justifying it with mafs and elaborate blabbering….

After years of deriving proofs to obscure theorems to get my master’s in Math at NYU, navigating the complex world of securitized products on the sell-side, and diving into the world of alternative assets investments, I decided to trade in my multiple monitors and Bloomberg terminal for a backpack and a laptop. I loved every second of my career, but some things must be done while young (most being plain stupid and irresponsible but certainly very fun). However, I am not a beach bum, and my intellectual passion lies in understanding financial markets. I now actively manage a portfolio using models I never had time to develop while working full-time, and write about my process from a beach I can’t pronounce the name of (it turns out I am allergic to sun exposure….). The time developing a methodology to create financial and statistical models for problems I want to tackle and creating a framework to distill their information into intuitive ideas has been one of the greatest investments of my career, and Tetractys Research is the medium through which I want to share that work. I, however, do not expect to run around like a headless chicken my whole life and will step back into an office with colleagues, but my commitment to this project is resolute. Nothing beats the dynamism of brainstorming on complex problems with people from diverse intellectual backgrounds… but also, nothing beats writing this from a town I never knew existed.