Leverage an AI-powered quant model to find stocks with high potential to outperform the market.
Analyze over 4,600 stocks using 115 proven factors and track top-performing analysts.
Zekai Verdict
- What is it?
- WallStreetZen is a stock analysis platform for finance professionals and serious investors.
- Best for
- Best for finance professionals who need a quantitative, data-driven system to quickly screen and validate investment…
- Not ideal for
- Full subscription pricing is not publicly listed on the website.
- Price
- $1 trial
- Zekai Score
- 8.6/10
For finance and business analytics professionals, WallStreetZen is a top AI tool for quantitative stock analysis. It uses an AI-powered model called Zen Ratings to analyze over 4,600 stocks against 115 factors, providing clear buy/sell signals. Its key benefit is speed and data-driven objectivity, allowing analysts to quickly screen for fundamentally strong companies and validate ideas against top-performing analysts.
Before & After
Manually sifting through hundreds of stocks and unreliable analyst reports.
Hours of manual screeningInstantly screen for top-rated stocks backed by a quantitative model and proven analysts.
Shortlist in minutesTry it with these prompts
Copy any prompt and paste it directly into the tool.
Identify stocks with 'A' Zen Ratings, which have historically averaged +28.50% annual returns. Filter by 115 proven factors to find companies with high upside potential that beat the market.
Access the Top Analysts Database to see recommendations from analysts with a proven track record of delivering 50%+ annual returns. Filter out underperforming analysts to focus on buy/hold/sell ratings from top performer…
Get one-sentence explanations for why a stock's price moved. Our researchers analyze news, SEC filings, and company outreach to uncover the catalyst for price changes.
Prompts for Finance
Trusted by 4,600+ stocks analyzed
Inside WallStreetZen

Captured by Zekai from the live WallStreetZen interface during review.
How it compares
WallStreetZen's primary advantage over an alternative like TipRanks is its proprietary 'Zen Ratings' quantitative model. Where TipRanks excels at aggregating and ranking a wide spectrum of existing analyst ratings, WallStreetZen provides its own distinct, AI-driven recommendation based on 115 fundamental factors. Choose WallStreetZen if you want a strong, independent quantitative signal to anchor your research. Opt for a tool like TipRanks if your strategy relies more on tracking consensus and sentiment across a broader range of Wall Street analysts rather than a single, systematic model.
Is it worth it?
Why Finance & Business choose this tool
Key Use Cases
WallStreetZen provides a powerful and accessible quantitative screening tool with its Zen Ratings model. The ability to filter for top-performing analysts is a significant time-saver. However, its reliance on backtested data and focus on quantitative factors means it should be used to supplement, not replace, in-depth fundamental and qualitative research.
Frequently asked questions
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Take it with you
- **Understand Zen Ratings:** Learn the A-F rating system and its historical performance.
- **Master the Stock Screener:** Find stocks that match your specific criteria.
- **Leverage Top Analysts:** Filter out noise and focus on proven performers.
- **Check Price Movement Explanations:** Get quick, one-sentence summaries of why a stock moved.
- **Build Your First Watchlist:** Combine ratings and screening to create a list of high-potential stocks.
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About WallStreetZen
Full Description
WallStreetZen is a stock analysis platform for finance professionals and serious investors. It uses an AI-enhanced quantitative model, Zen Ratings, to analyze 4,600+ stocks across 115 factors, providing clear Buy/Hold/Sell recommendations based on historical performance.
Editorial Verdict
WallStreetZen provides a powerful and accessible quantitative screening tool with its Zen Ratings model. The ability to filter for top-performing analysts is a significant time-saver. However, its reliance on backtested data and focus on quantitative factors means it should be used to supplement, not replace, in-depth fundamental and qualitative research.
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