Baselight
@baselightdb
What if food prices could predict stock movements? š®š Using the breadth of data on Baselight analysts can now find novel correlations to make more accurate trades. To show this we built the Tortilla Indexātracking tortilla prices in Mexico against major fast-casual restaurant stocks like Chipotle & Yum! Brands. Hereās how we did it š§µš
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Baselight
@baselightdb
Financial analysts constantly seek new ways to understand markets, but traditional models rely on stale, siloed data. With Baselight, anyone can integrate alternative datasetsālike commodity prices, macro trends, and consumer dataāto uncover unique market insights. youtu.be/jtKRrAd91zE
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Baselight
@baselightdb
So, we put Baselight to the test. Could rising tortilla prices signal stock movements in fast-casual chains? We ran the numbersāhereās how we built the Tortilla Index: š Full post š https://baselight.ai/transforming-financial-analysis-with-alternative-data/
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Baselight
@baselightdb
Step 1: Data Discovery š Using Baselightās universal data catalog, we pulled: ā¢ Tortilla price data from 270,000+ records across 50,000+ Mexican cities. ā¢ Stock price data for CMG, YUM, and other major restaurant chains. All in one placeāno messy integrations.
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Baselight
@baselightdb
Step 2: Query & Analysis š We used Baselightās SQL engine to: ā¢ Normalize and adjust tortilla prices for inflation. ā¢ Cross-reference stock performance against food price trends. ā¢ Build a dataset linking tortilla inflation to market movements.
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