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>While high volatility and the magic of Twitter may break cryptocurrency media coverage trends faster than they are identified, the exponentially growing volume of content on the topic has made text mining an increasingly robust tool to help quantify key themes in the space</li>
<li>Despite recent volatility, our data suggests sentiment on cryptocurrency institutional adoption continues to trend positively</li>
<li>We saw a +6x STDEV increase in coverage of ESG aspects of crypto and a +4x STDEV increase in coverage of crypto regulatory topics following the Elon Musk tweets of May 12-13 and China's crackdown; frequency of coverage of these topics has become the most dominant factor at -80% correlation with BTC recently </li>
<li>After surging in April on new ETF launches in Canada, sentiment on cryptocurrency ETFs/ETPs turned negative following "market disruption" warnings issued by Canadian ETF managers during last week's selloff</li>
<li>Sentiment on the cryptocurrency-as-store-of-value narrative took a dive in recent weeks, after hitting record high in April; nonetheless, the less-reliable defensive factors (store of value/inflation hedge) have been losing momentum in media coverage for some time, while a refocused view of cryptocurrency as a speculative vehicle is trending to new highs at +5x STDEVs</li>
<li>Though unadjusted sentiment data is extremely volatile, our daily tracking of Elon Musk coverage in a crypto context is back to a neutral reading for the first time since 5/12, having bottomed at -1.5x STDEVs earlier in the month</li>
<li>Net-net, while the data highlights elevated regulatory and ESG concerns, institutional adoption is likely to continue amid optimism around innovative carbon footprint reduction solutions for BTC; a reframing of the narrative away from defensive notions of "digital gold" would be a healthy development, and appears to be already underway</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 tools text-mine 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>


While high volatility and the magic of Twitter may break cryptocurrency media coverage trends faster than they are identified, the exponentially growing volume of content on the topic has made text mining an increasingly robust tool to help quantify key themes in the space
Despite recent volatility, our data suggests sentiment on cryptocurrency institutional adoption continues to trend positively
We saw a +6x STDEV increase in coverage of ESG aspects of crypto and a +4x STDEV increase in coverage of crypto regulatory topics following the Elon Musk tweets of May 12-13 and China's crackdown; frequency of coverage of these topics has become the most dominant factor at -80% correlation with BTC recently 
After surging in April on new ETF launches in Canada, sentiment on cryptocurrency ETFs/ETPs turned negative following "market disruption" warnings issued by Canadian ETF managers during last week's selloff
Sentiment on the cryptocurrency-as-store-of-value narrative took a dive in recent weeks, after hitting record high in April; nonetheless, the less-reliable defensive factors (store of value/inflation hedge) have been losing momentum in media coverage for some time, while a refocused view of cryptocurrency as a speculative vehicle is trending to new highs at +5x STDEVs
Though unadjusted sentiment data is extremely volatile, our daily tracking of Elon Musk coverage in a crypto context is back to a neutral reading for the first time since 5/12, having bottomed at -1.5x STDEVs earlier in the month
Net-net, while the data highlights elevated regulatory and ESG concerns, institutional adoption is likely to continue amid optimism around innovative carbon footprint reduction solutions for BTC; a reframing of the narrative away from defensive notions of "digital gold" would be a healthy development, and appears to be already underway
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 tools text-mine 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.

TMI Snapshot:  Recent Crypto Media Coverage & Sentiment Trends Through the Lens of Text Mining