What if food prices could predict stock movements? 🌮📈

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 Index—tracking tortilla prices in Mexico against major fast-casual restaurant stocks like Chipotle & Yum! Brands.

Here’s how we did it 🧵👇

Financial analysts constantly seek new ways to understand markets, but traditional models rely on stale, siloed data.

With Baselight, anyone can integrate alternative datasets—like commodity prices, macro trends, and consumer data—to uncover unique market insights.
youtu.be/jtKRrAd91zE

Turning data chaos into organized brilliance. Analyze, monetize, repeat 🚀

So, we put Baselight to the test. Could rising tortilla prices signal stock movements in fast-casual chains?

We ran the numbers—here’s how we built the Tortilla Index:

📖 Full post 👇

So, we put Baselight to the test. Could rising tortilla prices signal stock movements in fast-casual chains?

We ran the numbers—here’s how we built the Tortilla Index:

📖 Full post 👇
https://baselight.ai/transforming-financial-analysis-with-alternative-data/

Step 2: Query & Analysis 📊

We used Baselight’s SQL engine to:
• Normalize and adjust tortilla prices for inflation.
• Cross-reference stock performance against food price trends.
• Build a dataset linking tortilla inflation to market movements.

Step 3: Visualizing the Data 📈

With Baselight’s real-time visualization tools, we created charts comparing tortilla prices to stock movements.

Want to explore your own market insights? Join the waitlist today at baselight.ai!

Step 1: Data Discovery 🔍

Using Baselight’s universal data catalog, we pulled:
• Tortilla price data from 270,000+ records across 50,000+ Mexican cities.
• Stock price data for CMG, YUM, and other major restaurant chains.

All in one place—no messy integrations.