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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.

Cross Asset Strategy

Multiple Countries / Cross Asset Strategy

<ul>
<li>We text mine the global financial media to quantify short-term dynamics in sector sentiment looking for expressions referring to specific GICS sectors (i.e. energy, materials, industrials, consumer discretionary, consumer staples, health care, financials, tech, utilities) via sentiment analysis of associated articles</li>
<li>Of the cyclical sectors, the relative surge in sentiment (vs. tech) has been most dramatic in Financials and Materials, and more measured in Energy and Industrials</li>
<li>We find that relative sentiment on cyclicals previously surged after the June and September VIX spikes; current relative sentiment readings for industrials, materials and energy are still below levels seen in the June and September episodes</li>
<li>On an absolute basis, Tech sector sentiment has corrected from +2.2x STDEVs to neutral in the past 2 weeks</li>
<li>Similarly, we recently saw declines in Health Care, Utilities and Staples sentiment to neutral/negative readings, though less dramatic than the move seen in Tech</li>
<li>Financials appear to be the only sector where sentiment has surged more than +2x STDEVs in recent weeks</li>
<li>Importantly, the most recent short-term reversal in cyclical sector sentiment clearly began in the final week of October, well ahead of the elections and Pfizer news</li>
</ul>


We text mine the global financial media to quantify short-term dynamics in sector sentiment looking for expressions referring to specific GICS sectors (i.e. energy, materials, industrials, consumer discretionary, consumer staples, health care, financials, tech, utilities) via sentiment analysis of associated articles
Of the cyclical sectors, the relative surge in sentiment (vs. tech) has been most dramatic in Financials and Materials, and more measured in Energy and Industrials
We find that relative sentiment on cyclicals previously surged after the June and September VIX spikes; current relative sentiment readings for industrials, materials and energy are still below levels seen in the June and September episodes
On an absolute basis, Tech sector sentiment has corrected from +2.2x STDEVs to neutral in the past 2 weeks
Similarly, we recently saw declines in Health Care, Utilities and Staples sentiment to neutral/negative readings, though less dramatic than the move seen in Tech
Financials appear to be the only sector where sentiment has surged more than +2x STDEVs in recent weeks
Importantly, the most recent short-term reversal in cyclical sector sentiment clearly began in the final week of October, well ahead of the elections and Pfizer news


Consumer Staples Select Sector SPDR Fund (XLP US)

TMI Snapshots: Quantifying Relative Sector Sentiment in the Recent Rotation Via Text Mining