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.

Cross Asset Strategy

<ul>
<li>Consensus now sees a virtuous new EM &amp; Asia growth cycle centering on China, where outstanding growth prospects are said to coexist with structural CNY appreciation supporting continued strength in commodities and cyclicals</li>
<li>Ironically, Chinese equities sharply underperformed the rest of APAC in November just as these bullish views reached critical mass </li>
<li>Coincidentally, our text-mining finds that financial media coverage of CNY strength has recently taken an increasingly negative tone, while coverage of US-China tensions has turned neutral after a short post-election honeymoon period </li>
<li>If Chinese equities are not resilient to outgoing Trump administration flare-ups, is the CNY immune?  Should we still view the strong CNY as an indisputable positive?</li>
</ul><div class="content-highlight"><p>TMI Data Science utilizes Natural Language Processing to build custom leading indicators using unstructured data sourced from the global financial, trade &amp; traditional media. Our proprietary software text-mines 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 &amp; individual equities. </p></div>


Consensus now sees a virtuous new EM &amp; Asia growth cycle centering on China, where outstanding growth prospects are said to coexist with structural CNY appreciation supporting continued strength in commodities and cyclicals
Ironically, Chinese equities sharply underperformed the rest of APAC in November just as these bullish views reached critical mass 
Coincidentally, our text-mining finds that financial media coverage of CNY strength has recently taken an increasingly negative tone, while coverage of US-China tensions has turned neutral after a short post-election honeymoon period 
If Chinese equities are not resilient to outgoing Trump administration flare-ups, is the CNY immune?  Should we still view the strong CNY as an indisputable positive?
TMI Data Science utilizes Natural Language Processing to build custom leading indicators using unstructured data sourced from the global financial, trade &amp; traditional media. Our proprietary software text-mines 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 &amp; individual equities. 

Hang Seng China Enterprises Index (HSCEI INDEX)

Shanghai Shenzhen CSI 300 Index (SHSZ300 INDEX EQUITY)

TMI Snapshot:  Is a Strong CNY Still Viewed Positively?