Hello everyone,
Our video demo for the AI Stock Rec Tracker is finally here.
As many of you know, we have been expanding our AI Stock Rec Tracker offering on The Pragmatic Optimist to make it easier for our premium members to navigate the AI innovation landscape, identify rock-solid businesses, and make long-term investments in the space with more conviction.
We first launched our AI Stock Rec Tracker in May, where we started assigning price targets and ratings across AI stocks to help investors navigate our stock recommendations with ease.
At the start of August, we introduced Conviction Scores to our AI Stock Rec Tracker, where we now assign a Conviction Score next to each stock (in addition to their respective price targets and ratings) based on a set of fundamental parameters. We have designed our Conviction Scores to be a LEADING INDICATOR for future performance so that investors can use it as a guide to improve the likelihood of successful investment returns across a balanced investment portfolio.
👉 FYI: Our “buy” recommendations since the start of the year have generated a total return of 23.5% so far. In other words, had you invested $1000 (or any sum for that matter) each time we issued a “buy” rating on a stock, you would be beating the S&P 500 by roughly 3x.
Some of our winning calls include our bullish ratings on Celestica, Astera Labs, AMD, Taiwan Semiconductor, AppLovin, and more.
Finally, this week, we also released one more feature to the AI Stock Rec Tracker called the Thesis Monitor so that investors can easily track the progression of our thesis, price targets, and ratings across stocks under coverage since the beginning of the year under one single platform.
As we continue to expand our features on the AI Stock Rec Tracker, we thought that it would be good to prepare a video demo on how best to use the tool so you can get the most out of it in your investment journey.
As we continue to expand our features on the AI Stock Rec Tracker, we decided to prepare this video demo that further enable our premium members to successfully navigate the tool in order to maximize the likelihood of outsized future investment returns.
This video is broken into seven sections 👇
Section 1: Introduction
Section 2: How to Access the AI Stock Rec Tracker
Section 3: How do we decide whether to rate a stock “buy,” “hold,” or “sell”?
Section 4: Where do we get our “price targets” from?
Section 5: How do we compute Conviction Scores for stocks?
Section 6: Five examples of how to use the AI Stock Rec Tracker to maximize the likelihood of future returns in your investment portfolio.
Section 7: What’s next in our product roadmap?
We are incredibly grateful to all who have shown their support to our publication since we relaunched in mid-January, and we hope this video demo was helpful to make navigation on the AI Stock Rec Tracker easier and more intuitive.
Amrita & Uttam.
