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

TMI Snapshot:  Cyclicals Sentiment Melts Up into Year-End, Impact Concentrated in Materials Sector

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

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>Last month our text-mined indicators pointed to a year-end surge in raw materials restocking coupled with an extraordinary spike in general reporting on price increases globally</li>
<li>With a seasonal slowdown ahead of the Lunar New Year holiday and mobility restrictions, the restocking has faded; buildups in iron ore, steel and zinc inventories confirm a pause in momentum</li>
<li>Despite crowded positioning, copper maintained low beta to mining equities with a single-digit correction vs. the equities correcting closer to -10%; so far both remain near 50DMAs</li>
<li>Our text-mined copper sentiment indicator peaked at a multi-year high of +4.2x STDEVs on January 2, pulling back in recent weeks closer to neutral readings; however sharp, attribution finds the pullback is still primarily associated with pre-LNY seasonal slowdown and the relatively firm USD (as conviction levels on structural copper tightness remain high amid lean inventories)</li>
<li>Lithium sentiment stands out in the YTD, improving to +2x STDEVs on the lithium carbonate spot recovery and improving EV data points</li>
<li>Iron ore and steel diffusion indices have been dropping sharply in the YTD on falling utilization, building inventories and compressing mill margins, finally down to outright negative territory on first signs of vol in iron ore this week</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>


Last month our text-mined indicators pointed to a year-end surge in raw materials restocking coupled with an extraordinary spike in general reporting on price increases globally
With a seasonal slowdown ahead of the Lunar New Year holiday and mobility restrictions, the restocking has faded; buildups in iron ore, steel and zinc inventories confirm a pause in momentum
Despite crowded positioning, copper maintained low beta to mining equities with a single-digit correction vs. the equities correcting closer to -10%; so far both remain near 50DMAs
Our text-mined copper sentiment indicator peaked at a multi-year high of +4.2x STDEVs on January 2, pulling back in recent weeks closer to neutral readings; however sharp, attribution finds the pullback is still primarily associated with pre-LNY seasonal slowdown and the relatively firm USD (as conviction levels on structural copper tightness remain high amid lean inventories)
Lithium sentiment stands out in the YTD, improving to +2x STDEVs on the lithium carbonate spot recovery and improving EV data points
Iron ore and steel diffusion indices have been dropping sharply in the YTD on falling utilization, building inventories and compressing mill margins, finally down to outright negative territory on first signs of vol in iron ore this week
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. 

Sociedad Quimica y Minera de Chile (SQM US)

TMI Snapshot:  Metals Points - Restocking Pauses, Copper Sentiment Pulls Back from Extremes