Find Stocks with AI: Best AI Stock Screener Tool
September 9, 2025
Find Stocks with AI: Best AI Stock Screener
In today’s markets, investors are bombarded with information. There are more than 100,000 public stocks, ETFs, funds and crypto assets, and that universe is growing. On top of that, each company publishes quarterly reports, press releases and earnings calls; macro events like central‑bank announcements and geopolitical shocks move prices; and millions of data points—fundamentals, sentiment indicators, ESG metrics—arrive every day. Trying to sift through all this manually is not just daunting; it’s ineffective.
Why traditional screening falls short
Conventional stock screeners let you filter on ratios such as P/E, debt‑to‑equity or earnings growth. They scrape data from static databases and update infrequently. While useful for simple narrowing, they fail to interpret context. For instance, a low P/E may signal undervaluation—or it could indicate structural problems. Generic chatbots do not help either: FinanceBench found that general language models like GPT‑4‑Turbo answer finance questions incorrectly or not at all over 81 % of the time. When real money is on the line, hallucinations and missing data are unacceptable.
The promise of AI stock screeners
An AI stock screener uses large language models combined with licensed market data and advanced analytics. Instead of manually constructing filter criteria, investors ask natural‑language questions like “Find U.S. mid‑cap stocks with positive free cash flow and insider buying over the last month.” The AI interprets the request, searches institutional‑grade datasets, analyses filings and news, and returns a ranked list. Leading AI screeners also:
Cover vast asset universes: Over 100,000 equities, ETFs, funds and crypto assets.
Leverage massive data sets: Rize processes more than 1 billion data points and tracks more than 130 financial metrics per asset.
Access historical filings: Rize draws on 3 million company reports dating back to IPOs.
Analyse sentiment and alternative signals: ESG, climate and news sentiment are incorporated into screener results.
Offer scenario testing: Investors can model rate hikes, earnings misses or recessions and see how their screens would change.
Explain outputs: AI should cite its sources and calculations so you can trust the results.
Rize: The best AI stock screener
Rize isn’t just an AI stock screener; it’s a full research platform. The company’s stock analysis bot covers over 100,000 assets and has processed more than 1 billion data points, representing one of the largest knowledge bases in public markets. It offers 3 million historical company reports and tracks 130+ financial metrics per asset, enabling more nuanced screening than typical ratio filters.
Rize’s Agentic AI system orchestrates specialized agents—Market & Economic, Company Analysis, Fund & ETF, Technical Chart, Crypto, Portfolio Management and more. When you ask to “find stocks with rising gross margins, decreasing leverage and positive ESG sentiment,” the Market & Economic agent gathers macro trends, the Company Analysis agent calculates margin trajectories, the ESG agent assesses climate scores, and the Technical Chart agent checks momentum. These agents then collaborate to produce a ranked list along with charts and citations.
What sets Rize apart:
Licensed data: Rize accesses institutional‑grade market data and official filings in real time.
Natural language & multimodal output: Ask questions as you would to an analyst and receive charts, tables and even voice summaries.
Personalized memory: The screener remembers your portfolio and past queries to tailor future results.
Scenario simulation: Test how screens change under rate hikes, recessions or sector shocks.
Transparency: Every screener result is accompanied by data citations and an explanation of the logic used.
These features have attracted over 10,000 investors worldwide and generated 15,000 AI‑powered analyses so far, demonstrating robust adoption.
How Rize compares to other AI screeners
While other AI tools like ChatGPT or Claude can answer general questions, they lack real-time data access and portfolio context. They also cannot build dynamic screens or run valuations. Traditional screeners such as Yahoo Finance or GuruFocus rely on static ratios and require manual searching. Rize stands apart by combining deep data coverage, multi-agent intelligence and scenario modeling.
Practical example: Finding growth stocks with sustainable margins
Suppose you want to find U.S. software companies with at least 15 % revenue growth, improving gross margins and positive free cash flow. A conventional screener might return dozens of tickers with little context. With Rize:
You ask: “Find mid‑cap U.S. software stocks growing revenue by ≥15 %, with rising gross margins and free cash flow over the last year.”
The AI uses its 130+ metrics per asset to compute growth rates and margin trends.
It scans 3 million company reports to confirm free‑cash‑flow direction and notes insider sentiment.
It returns a ranked list with charts and bullet‑point summaries explaining each pick’s strengths and risks.
If you like a candidate, you can request a fair‑value report to see whether it’s over or undervalued.
Conclusion
Finding stocks with AI is not just about filtering numbers; it’s about interpreting complex data sets and linking them to your strategy. Rize stands out because it combines a massive data foundation with an agentic architecture that mirrors how professional analysts work. It’s the best AI stock screener because it delivers accuracy, transparency and personalization at a scale unattainable by manual screening.
FAQ: Find Stocks with AI – Best AI Stock Screener
What is an AI stock screener and how does it differ from a traditional screener?
An AI stock screener integrates licensed market data with natural‑language understanding, enabling you to ask complex questions and receive context‑rich answers. Traditional screeners rely on static filters and can miss nuanced opportunities.
Why does data coverage matter in AI screening?
Rize processes more than 1 billion data points and tracks 130+ metrics per asset, covering over 100,000 assets.. This breadth allows for deeper analysis and the ability to screen on non-traditional metrics like ESG sentiment.
How does Rize’s multi-agent approach improve screening?
Dedicated agents (macro, company, technical, ESG and more) analyze different aspects of a query and cross‑validate results. This reduces hallucinations and ensures a more holistic answer.
Can I use Rize’s AI stock screener for portfolio‑specific questions?
Yes. Rize remembers your holdings and customizes screens to your portfolio, highlighting diversification gaps or risk concentrations.
Is there a risk of AI hallucinations?
Generic models have an 81 % failure rate in finance. Rize mitigates this by connecting to licensed data and providing full transparency of sources and logic.
