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Research stocks in your own words. Free AI stock screener: describe what you want in plain English and get real public companies back, each with dated evidence from SEC filings and market-data fundamentals and 80+ technical analysis daily calculated.
As a side hobby I've always tried to follow the stock market and make calculated investments. But I never had enough time to fully learn the fundamentals and technical analysis frameworks.
What surprised me even more was watching people make investment decisions based on anonymous X influencers. Those decisions are always biased, people sometimes put all their money into a single stock, and when the influencer quietly moves on to the next target, they're left with no idea how to exit or where to stop loss. Some hold on for years and lose everything.
I built stocks-llm to help myself and people like me do independent research first; by asking questions in plain English instead of learning screener syntax. Everything I found useful is in there:
80+ ready-made screens powered by 53 nightly-computed technical indicators:
From basics like moving averages, golden crosses and RSI to complex ones like Bollinger squeezes, Ichimoku, and Elliott Waves Insider trading and congress trading data (all public), but now you can simply ask: "pharma companies that just had a golden cross and heavy insider buying".
Earnings, news, business descriptions, and fundamentals (P/E, cash flow, revenue growth...) so you can ask things like: "companies helping build AI datacenters; optics, batteries, power converters with double-digit YoY growth and recent congress buying".
One design rule I care about deeply: the AI never picks stocks and never invents a number. A deterministic engine selects the results from real data, and the AI only explains with sources and as-of dates. If the data doesn't exist, it says so instead of making something up. Let me know if something does not add up.
Of course, the platform doesn't give investment advice. It gives you an independent, objective, and fully deterministic research framework. Before you invest, at least the homework is real.
Hope you like it and happy to answer anything in the comments.
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About stocks-llm on Product Hunt
“Natural Language Stock Research Agent”
stocks-llm was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #131 on the daily leaderboard. Research stocks in your own words. Free AI stock screener: describe what you want in plain English and get real public companies back, each with dated evidence from SEC filings and market-data fundamentals and 80+ technical analysis daily calculated.
stocks-llm was featured in Investing (26.7k followers) and Artificial Intelligence (477.5k followers) on Product Hunt. Together, these topics include over 125.9k products, making this a competitive space to launch in.
Who hunted stocks-llm?
stocks-llm was hunted by Soner Sensoy. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Soner Sensoy
Hi Product Hunt,
As a side hobby I've always tried to follow the stock market and make calculated investments. But I never had enough time to fully learn the fundamentals and technical analysis frameworks.
What surprised me even more was watching people make investment decisions based on anonymous X influencers. Those decisions are always biased, people sometimes put all their money into a single stock, and when the influencer quietly moves on to the next target, they're left with no idea how to exit or where to stop loss. Some hold on for years and lose everything.
I built stocks-llm to help myself and people like me do independent research first; by asking questions in plain English instead of learning screener syntax. Everything I found useful is in there:
80+ ready-made screens powered by 53 nightly-computed technical indicators:
From basics like moving averages, golden crosses and RSI to complex ones like Bollinger squeezes, Ichimoku, and Elliott Waves
Insider trading and congress trading data (all public), but now you can simply ask: "pharma companies that just had a golden cross and heavy insider buying".
Earnings, news, business descriptions, and fundamentals (P/E, cash flow, revenue growth...) so you can ask things like: "companies helping build AI datacenters; optics, batteries, power converters with double-digit YoY growth and recent congress buying".
One design rule I care about deeply: the AI never picks stocks and never invents a number. A deterministic engine selects the results from real data, and the AI only explains with sources and as-of dates. If the data doesn't exist, it says so instead of making something up. Let me know if something does not add up.
Of course, the platform doesn't give investment advice. It gives you an independent, objective, and fully deterministic research framework. Before you invest, at least the homework is real.
Hope you like it and happy to answer anything in the comments.
— Soner