Introducing TMI Data Science: Delivering Alpha With Custom NLP-Based Leading Indicators

Managing Director

Elan Gore

TMI Data Science

TMI Data Science utilizes Natural Language Processing to build custom leading indicators using unstructured data sourced from the global financial, trade & traditional media.  Our proprietary software, TMI Machine, is a text-mining platform designed with the buy-side & capital markets professional in mind, text-mining the global media to discern and quantify nuanced qualitative shifts in press coverage as they apply to macroeconomics, equity indexes/ETFs, commodities, currencies, fixed income & individual equities.  TMI provides custom leading indicators and systematic trading strategies, operating at the nexus of linguistics & statistics drawing on vast experience in investment banking and hedge fund settings in senior quantitative and fundamental roles.  

TMI Data Science was founded by Elan Gore, an award-winning Senior Global Basic Materials Equity Analyst & China Economist with 15 years of experience in North American hedge funds & institutional managers; and Alessandro Porrino, Ph.D., an Algorithmic Trading Analyst and Programmer with 10 years of front-office experience ranging from complex FX option pricing to auto-hedging strategies at Bank of America Merrill Lynch and Standard Chartered.  Mr. Gore holds an MBA in Finance from New York University Stern School of Business, and Mr. Porrino holds a Ph.D. in Systems Engineering from Brunel University London.

Quantitative Analysis

Laos Textiles, apparel and luxury goods / Quantitative Analysis

<p>In light of recent LVMH/Tiffany headlines, we went back to TMI's Luxury Goods Sentiment Indicator and app analytics for a quick update on the state of luxury via alt-data.  TMI's Luxury Goods Sentiment Indicator has been consistently in positive territory since May, having been boosted by somewhat controversial notions of "revenge spending" popularized earlier in the pandemic with mostly anecdotal evidence.  We have also aggregated App Store data for key luxury shopping apps in key jurisdictions to find that overall App performance has been robust, aided by a recent surge in US downloads and continued growth in China, while HK and Singapore recently lag.</p>

In light of recent LVMH/Tiffany headlines, we went back to TMI's Luxury Goods Sentiment Indicator and app analytics for a quick update on the state of luxury via alt-data.  TMI's Luxury Goods Sentiment Indicator has been consistently in positive territory since May, having been boosted by somewhat controversial notions of "revenge spending" popularized earlier in the pandemic with mostly anecdotal evidence.  We have also aggregated App Store data for key luxury shopping apps in key jurisdictions to find that overall App performance has been robust, aided by a recent surge in US downloads and continued growth in China, while HK and Singapore recently lag.

TMI Snapshot:  Luxury Goods Sentiment Steadily Positive, As App Analytics Show Ongoing Recovery