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>We saw cyclical &amp; value sentiment melt-up into year end with one last boost from the Georgia Blue Wave; but a tough COVID winter with new mobility restrictions appears to be putting the rotation on hold</li>
<li>Surprisingly, last week USD shorts increased to levels last seen in September, positioning for further progress on the rotation trade (with Biden stimulus the likely catalyst)</li>
<li>Timing of rotation jitters at the early innings of earnings season is unrelated to short-term cyclical earnings visibility, as cyclical sector revisions showed outstanding momentum going into Q4 reporting</li>
<li>Our cyclicals sentiment indicator has corrected from &gt;3x STDEV readings at year-end to neutral readings, with most of the correction taking place in the past 2 weeks</li>
<li>Absent broad negative momentum in associated thematic trades, this appears to be a pause rather than a decisive reversal</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 tool 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>


We saw cyclical &amp; value sentiment melt-up into year end with one last boost from the Georgia Blue Wave; but a tough COVID winter with new mobility restrictions appears to be putting the rotation on hold
Surprisingly, last week USD shorts increased to levels last seen in September, positioning for further progress on the rotation trade (with Biden stimulus the likely catalyst)
Timing of rotation jitters at the early innings of earnings season is unrelated to short-term cyclical earnings visibility, as cyclical sector revisions showed outstanding momentum going into Q4 reporting
Our cyclicals sentiment indicator has corrected from &gt;3x STDEV readings at year-end to neutral readings, with most of the correction taking place in the past 2 weeks
Absent broad negative momentum in associated thematic trades, this appears to be a pause rather than a decisive reversal
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 tool 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. 

TMI Snapshot: Pullback in Rotation Trade on Mobility Restrictions, Just as USD Shorts Doubled Down

<ul>
<li>Back in November, we text-mined for GICS sector-level sentiment shifts as the post-election cyclical rotation arrived (see <a href="https://www.smartkarma.com/insights/tmi-snapshots-quantifying-relative-sector-sentiment-in-the-recent-rotation-via-text-mining" target="_blank" data-smartkarma-citation="insights:45278" rel="noopener">TMI Snapshots: Quantifying Relative Sector Sentiment in the Recent Rotation Via Text Mining</a>)</li>
<li>At the time, we saw Financials sector sentiment surge along with Materials, while Industrials sentiment remained subdued; these sentiment readings have been somewhat reflected in performance, as since October 31 the S&amp;P Financials (XLF) is up +28%, S&amp;P Materials (XLB) +21%, and S&amp;P Industrials (XLI) +18%</li>
<li>All cyclical sectors are now in positive territory sentiment-wise, with Consumer Discretionary and Financials sentiment now looking quite extended at multi-STDEV readings</li>
<li>Industrials sector sentiment stood out as relatively depressed for months, but is breaking out of its range in the last 10 days</li>
<li>As we noted in our post on cyclicals sentiment last week (<a href="https://www.smartkarma.com/insights/tmi-snapshot-cyclicals-sentiment-melts-up-into-year-end-impact-concentrated-in-materials-sector" target="_blank" data-smartkarma-citation="insights:46660" rel="noopener">TMI Snapshot:  Cyclicals Sentiment Melts Up into Year-End, Impact Concentrated in Materials Sector),</a> the rotation theme has been particularly strongly correlated to the Materials sector (metals in particular) and there is potentially room for laggard cyclicals - namely industrials - to catch up as recent sentiment readings imply </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>


Back in November, we text-mined for GICS sector-level sentiment shifts as the post-election cyclical rotation arrived (see TMI Snapshots: Quantifying Relative Sector Sentiment in the Recent Rotation Via Text Mining)
At the time, we saw Financials sector sentiment surge along with Materials, while Industrials sentiment remained subdued; these sentiment readings have been somewhat reflected in performance, as since October 31 the S&amp;P Financials (XLF) is up +28%, S&amp;P Materials (XLB) +21%, and S&amp;P Industrials (XLI) +18%
All cyclical sectors are now in positive territory sentiment-wise, with Consumer Discretionary and Financials sentiment now looking quite extended at multi-STDEV readings
Industrials sector sentiment stood out as relatively depressed for months, but is breaking out of its range in the last 10 days
As we noted in our post on cyclicals sentiment last week (TMI Snapshot:  Cyclicals Sentiment Melts Up into Year-End, Impact Concentrated in Materials Sector), the rotation theme has been particularly strongly correlated to the Materials sector (metals in particular) and there is potentially room for laggard cyclicals - namely industrials - to catch up as recent sentiment readings imply 
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. 

TMI Snapshot:  Revisiting Cyclical Sector Sentiment - Industrials Showing Signs of Life

<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


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

<ul>
<li>In last month's report we saw late-September USD strength contribute to softer base metals sentiment and a collapse in precious metals sentiment (amid reports of millennial preference for cryptocurrencies as an inflation hedge)</li>
<li>More recently, we saw copper sentiment surge to &gt;3x STDEVs, a multi-year record on our data, as financial media preoccupation with relative Chinese macro strength and strong EV demand met persistent newsflow on imminent labor-related supply disruptions in Chile; our back-testing suggests such anomalous sentiment readings normally lead to temporary pullbacks in the copper price</li>
<li>Gold &amp; silver sentiment fell further in October to levels last seen in April, but we see early signs of bottoming in gold; platinum sentiment improved on hydrogen economy news </li>
<li>Crude oil sentiment fell to its lowest since May, predictably attributed to the prospect of COVID-19 lockdowns spreading globally &amp; Libyan news</li>
<li>Iron ore sentiment has moved into positive territory in the final week of October, driven by 3 consecutive weeks of steel inventory draws in China and a notable rally in rebar prices</li>
<li>Despite deteriorating COVID-19 newsflow, crude weakness and USD strength, sentiment is positive on more commodities relative to late September, with supply disruptions and greater conviction on Chinese macro the key drivers</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>


In last month's report we saw late-September USD strength contribute to softer base metals sentiment and a collapse in precious metals sentiment (amid reports of millennial preference for cryptocurrencies as an inflation hedge)
More recently, we saw copper sentiment surge to &gt;3x STDEVs, a multi-year record on our data, as financial media preoccupation with relative Chinese macro strength and strong EV demand met persistent newsflow on imminent labor-related supply disruptions in Chile; our back-testing suggests such anomalous sentiment readings normally lead to temporary pullbacks in the copper price
Gold &amp; silver sentiment fell further in October to levels last seen in April, but we see early signs of bottoming in gold; platinum sentiment improved on hydrogen economy news 
Crude oil sentiment fell to its lowest since May, predictably attributed to the prospect of COVID-19 lockdowns spreading globally &amp; Libyan news
Iron ore sentiment has moved into positive territory in the final week of October, driven by 3 consecutive weeks of steel inventory draws in China and a notable rally in rebar prices
Despite deteriorating COVID-19 newsflow, crude weakness and USD strength, sentiment is positive on more commodities relative to late September, with supply disruptions and greater conviction on Chinese macro the key drivers
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. 

TMI Indicators:  November Commodity Sentiment - Base Overshoots, Ferrous Improves, Gold Bottoming?

<ul>
<li>Last week we highlighted a downward shift in US inflation expectations, and our diffusion index of inflationary vs. deflationary expressions continues to soften (see <a href="https://www.smartkarma.com/insights/tmi-snapshot-cross-currents-in-the-us-rental-market-hint-at-pausing-inflation-expectations" target="_blank" data-smartkarma-citation="insights:43259" rel="noopener">TMI Snapshot:  Cross-Currents In The US Rental Market Hint At Pausing Inflation Expectations)</a>
</li>
<li>We believe this shift is largely responsible for unwelcome USD strength and recent pressures on precious metals as well as the overall commodity complex (as noted in <a href="https://www.smartkarma.com/insights/tmi-indicators-gold-sentiment-seeking-catalysts-following-latest-leg-up-on-us-benefit-expiration" target="_blank" data-smartkarma-citation="insights:43356" rel="noopener">TMI Indicators: Gold Sentiment Seeking Catalysts Following Latest Leg Up On US Benefit Expiration</a>)</li>
<li>While our inflation expectations note focused on emerging pressures in the US rental market and their impact on TIPS inflation breakevens, we must acknowledge that the psychology behind the emerging consensus inflationary mindset went into overdrive when extraordinary open-ended QE was perceived to be augmented by continued massive fiscal support and accelerated COVID-19 vaccine news flow</li>
<li>Our text mining sees an unprecedented spike in US political divisions coinciding with a sharp step down in fiscal stimulus expectations, as well as lowered expectations on the near-term availability of a COVID-19 vaccine</li>
<li>With two pillars of the emerging inflationary mindset now broken, the underlying narrative is seeing significant near-term challenges</li>
<li>As a potential post-election silver lining, our text mining sees a shift in perceptions of a Biden win from potentially disinflationary to inflationary (as Biden tax implications are now seen as less onerous and infrastructure investment potentially larger)</li>
<li>As long as uncertainty on post-election outcomes lingers, we suspect disinflationary pressures drive elevated vol, a stronger USD, continued pullback in precious metals &amp; the broader commodities complex, and a near-term shift away from the incipient cyclical/value rotations</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>


Last week we highlighted a downward shift in US inflation expectations, and our diffusion index of inflationary vs. deflationary expressions continues to soften (see TMI Snapshot:  Cross-Currents In The US Rental Market Hint At Pausing Inflation Expectations)

We believe this shift is largely responsible for unwelcome USD strength and recent pressures on precious metals as well as the overall commodity complex (as noted in TMI Indicators: Gold Sentiment Seeking Catalysts Following Latest Leg Up On US Benefit Expiration)
While our inflation expectations note focused on emerging pressures in the US rental market and their impact on TIPS inflation breakevens, we must acknowledge that the psychology behind the emerging consensus inflationary mindset went into overdrive when extraordinary open-ended QE was perceived to be augmented by continued massive fiscal support and accelerated COVID-19 vaccine news flow
Our text mining sees an unprecedented spike in US political divisions coinciding with a sharp step down in fiscal stimulus expectations, as well as lowered expectations on the near-term availability of a COVID-19 vaccine
With two pillars of the emerging inflationary mindset now broken, the underlying narrative is seeing significant near-term challenges
As a potential post-election silver lining, our text mining sees a shift in perceptions of a Biden win from potentially disinflationary to inflationary (as Biden tax implications are now seen as less onerous and infrastructure investment potentially larger)
As long as uncertainty on post-election outcomes lingers, we suspect disinflationary pressures drive elevated vol, a stronger USD, continued pullback in precious metals &amp; the broader commodities complex, and a near-term shift away from the incipient cyclical/value rotations
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. 

TMI Snapshots:  More Signs Of Pressure on Inflation Expectations, USD Upside, And A Silver Lining

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Materials Select Sector SPDR Trust is an exchange-traded fund incorporated in the USA.  The Fund's objective is to provide investment results that correspond to the performance of the Materials Select Sector Index.  The Index includes companies from the following industries: chemicals, construction materials, containers and packaging.

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Materials Select Sector SPDR (XLB US)

TMI Snapshot: Pullback in Rotation Trade on Mobility Restrictions, Just as USD Shorts Doubled Down

The cyclical & value rotation trade has paused, and this appears to be a function of the current wave of mobility restrictions, as our data suggests.

Elan Gore

TMI Snapshot: Revisiting Cyclical Sector Sentiment - Industrials Showing Signs of Life

Revisiting our cyclical sector sentiment indicators, we find a breakout in Industrials sentiment coming from a relatively low base - time for...

Elan Gore

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

We quantify recent sector sentiment dynamics through the lens of text mining. The current cyclical rotation is in its early innings, as relative...

Elan Gore

TMI Indicators: November Commodity Sentiment - Base Overshoots, Ferrous Improves, Gold Bottoming?

Our text-mined commodity sentiment indicators see an overshoot in copper sentiment, a notable turnaround in iron ore sentiment, and potential signs...

Elan Gore

TMI Snapshots: More Signs Of Pressure on Inflation Expectations, USD Upside, And A Silver Lining

Last week we highlighted

Elan Gore

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