IQ Reddit Mentions | ChartExchange

So I recently decided to use AI to write some Python code to gather data to help me move from a big list of stocks (over 1,500, including S&P, a list of mid-cap, and small-cap stocks) and help me put them into categories. The code takes about 50 minutes to run each time I do it.
**DISCLAIMER: These categories may exclude some of your favorite stocks or rate them as neutral/avoid, even if they are good stocks; the code focuses on growth. Some loved stocks may not pass the screeners I have set in place for various reasons. I have only been tracking this system for 1 week so data points may not reflect well on how viable this is. Also, I hate formatting, so forgive me if it doesn't read well.**
***Categories:***
* **Fortress**: High quality, safe, profitable.
* **Graduating**: High-growth companies that are maturing into profitable businesses. The "Sweet Spot" for aggressive investors.
* **Moonshot**: Early-stage, high-growth, or speculative plays. Often unprofitable but growing fast.
* **Avoid/Neutral**: Fundamentally broken or dangerous (High Debt, Low IQ) or "Dead Money." Stocks that don't grow fast enough to be Moonshots/Graduating, but aren't good enough to be Fortresses.
These are determined through running 3 separate codes, looking at quality and safety, "moonshot" potential, and innovation. Within each code are several data points (R&D for innovation, revenue CAGR, ROIC, valuation, and more). These create an arbitrary score for each screener. Without going into too much detail for each screener, it then classifies a stock based on the scores.
***Explaining the categories of photo 1***
The screenshot is of a random mix of stocks within the system.
* **Challenger**: This category strongly determines the fortress stocks. The higher the "quality", "growth", and valuation are.
* **Differentiator**: Strongest data point
* **Nascent**: The "moonshot" screener looking for revenue CAGR, R&D, gross margins, and founder-led companies
* **Growth**: A few of the same things as the nascent screener, but it looks at FCF and safety as well.
* **Action**: Tells you whether to buy, wait, or sell (based on 50-day MA)
* **Exit warning**: Trend broken just means sell.
* **Failure case**: I don't really look at it, but should be self-explanatory.
***Explaining photo 2***
Photo two is the total strategy performance. This means once a stock is labeled as a "fortress" it tracks the entry price from then on forward. So whether or not it's currently a buy or sell it tracks the performance and the alpha compared to the market.
***Explaining photo 3***
Photo three is only the "active" portfolio. This only tracks the stocks currently with a buy, speculate, or accumulate rating. When a stock gets the trend broken signal, it is no longer tracked here.
[Full Code Walkthrough](https://www.reddit.com/user/ItsAirjam/comments/1r7h10m/code_system_walkthrough/?utm_source=share&utm_medium=web3x&utm_name=web3xcss&utm_term=1&utm_content=share_button)
Please feel free to ask about a specific stock, or provide feedback to help me improve the system/better identify stocks.
**TL;DR:**
I used AI to build a Python system that sorts 1,500+ stocks into growth-based categories:
* **Fortress:** Safe, profitable
* **Graduating:** High-growth maturing companies
* **Moonshot:** Early-stage, speculative growth
* **Avoid/Neutral:** Weak or slow-growing
It scores stocks on quality, growth, and innovation, and gives buy/wait/sell signals. It tracks performance vs market.

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