Generate Investment Ideas

7.1 Two ways to find an idea

Most professional investors keep two idea pipelines running at once. The first is quantitative: you scan the market for names that look statistically interesting on price and fundamentals. The second is qualitative: you read the news, talk to people, and ask “who benefits from this and who gets hurt?”

Neither alone is enough. Screens surface businesses you would never have thought of on your own. Conversations surface ideas that a numerical filter cannot see yet, because the story is too new. Clarion on Zo gives you a tool for each.

7.2 Path one: the value screen

The Clarion value screener looks at the S&P 500 (or any list of tickers you give it) and scores each company on eight factors that Buffett-style investors care about — how cheap, how profitable, how productive with capital, how indebted, and whether insiders are buying.

With the clarion-value-screener skill installed and the Clarion Value Screener persona active:

The output has four pieces worth understanding.

• The composite score. A number between 0 and 100 that summarizes how a name looks across the eight factors. Higher is better. Anything above 60 is worth a look in a normal regime; tougher regimes raise the bar.
• The sector cap. The screener will not stack the watchlist with five tech names just because tech ran. No more than a couple of names from the same sector.
• The watchlist file. The full ranked list is saved to your workspace so you can read it later, share it, or feed it into the next chapter.
• An empty result is a real answer. If valuations are high and the regime is bad, the screener will return a thin list or none at all. That is the system telling you the opportunity set is weak, not a bug.

7.3 Path two: conversation

Not every idea starts with a number. A new regulation comes through, a commodity moves hard, a competitor announces something, a generational product launches — and you want to find the businesses that benefit or get hurt. A screener cannot answer that yet, because the impact has not shown up in the financials.

This is what the open chat window is for. Treat the AI like a smart colleague who has read the news and knows the public market. The job is not to give you a recommendation. The job is to give you a list of names to investigate.

Notice what the AI is doing here. It is not making a buy call. It is producing a structured shortlist with a category for each name and a list of next questions to answer. That is the right shape of output from a conversation at this stage.

7.4 Where macro fits

The same conversational pattern works for macro events: a Federal Reserve decision, a slowdown in China, a labor shock, an election result. Ask the AI to list the second- and third-order effects on US equities, and to flag the categories that the value screener might be slow to surface.

This is also where the Macro Sentinel persona from the last chapter comes back. Before chasing an idea on a hot news story, ask: what does the current regime say? In a red or danger regime, even good second-order ideas can wait.

7.5 What you end up with

Between the two paths, you should leave this stage with a list of three to ten names worth deeper research. Not fifty. Not one. A list small enough that you can give each name a serious hour in the next chapter, and not so small that you have already decided.

Key takeaways

• Two idea pipelines: a quantitative screen and an open conversation about events. You need both.
• The value screen returns a small, sector-balanced list of names with a 0-to-100 score and a saved watchlist file.
• The conversation produces a categorized shortlist of names and a list of next questions, not a recommendation.
• You are looking, not buying. Three to ten names to research is the right outcome.
• A thin or empty result in a bad regime is the right answer, not a bug.