We built Alphatica on one principle: track the data, publish the data, let the data speak.
For the past six months, we have done that through this newsletter and through X. Today we are adding a third channel. Alphatica is launching on YouTube.
Starting today, we are publishing video research covering earnings previews, sector analysis, short reports, macro deep dives, and company spotlights. Every video is built on the same institutional-grade data we use for everything else.
Same data. Same rigor. Now in video.
Our first video dropped today: Q2 Earnings Preview for the Airline Industry. The sector outperformed the S&P by nearly four to one over the last three months. But nine airlines told very different stories inside that number. Three are still losing money. One doubled on the worst fundamentals in the group. We break down which carriers the Street is positioned for, which are overextended, and where the asymmetric setups are.
What to expect on the channel:
Earnings season previews sector by sector, built on consensus estimates, rating trajectories, and price target trends from our Point-in-Time database. Not opinions. Data.
Company deep dives using our ten-step research framework.
Short research reports. Our AVAV forensic timeline tracked a $1.525 billion capital raise at $248, a CEO stock sale, a contract termination, and a goodwill restatement before the stock fell to $139. Multiple firms today downgraded to sector perform this week. The Street is catching up. These reports will now be published as video alongside the written analysis.
Macro analysis covering the Fed, rates, inflation, and global positioning. The video format lets us walk through the data visually.
The first video dropped today. More are coming fast.
We track the data. Now in every format.
DISCLOSURE & DISCLAIMER
This communication is provided by Alphatica Quantitative Research for informational and educational purposes only. It does not constitute investment advice, a recommendation, an offer, or a solicitation to buy, sell, or hold any securities or financial instruments.
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The signals provided reflect the output of quantitative models that rely on historical data and statistical relationships. These models are subject to limitations including but not limited to: data errors, model overfitting, regime changes, liquidity constraints, execution slippage, and unforeseen market events. The models do not account for individual financial circumstances, investment objectives, risk tolerance, tax implications, or liquidity needs.
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