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Shark Finance

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25k
Stocks
40+
Financial Metrics
30+
Years of Data
Shark Tools

The Foundation for Professional Analysis

3 objective, data-driven and transparent tools

Shark Screener

Screen stocks using customizable metrics such as P/E ratios, revenue growth and valuation benchmarks.

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Stock Checker

Access live prices, fundamental data, and valuation ratios for 25k stocks, normalized for easy comparison.

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Market Insights

View global market data across indices, commodities, bonds and FX in a single dashboard.

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Shark Challenge

Outperform the Shark Score,
unlock Pro for free.

Challenge accepted? Build a demo portfolio and compete against the top Shark Score stocks. If you manage to outperform them, you will have truly earned your Shark Finance Pro subscription worth €19.90 completely free.

Shark Finance Pro
€19.90 Free
For all Shark Challenge champions
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Shark Score
The Shark Score is a metric calculated from fundamental data and is intended to provide users with a rough overview of a company's strengths. It does not replace a detailed analysis.

Nevertheless, we have compared the performance of the 10 highest-scoring stocks within the S&P 500 to the remaining constituents of the index and observed a significant outperformance.

As transparency and objectivity are core principles for us, the indicator's calculation, interpretation, and historical performance are publicly available on the Shark Score page.
Shark Score Analyse Stocks
Data Quality Reliable data is the foundation of good analysis.

We take data quality seriously, but with 25,000 stocks sourced largely from third-party providers, occasional errors are inevitable. We don't simply accept that. Our goal is to become the most reliable stock analysis tool available and to get there, we depend on the sharp eyes of our users.

Report incorrect data and get Pro for free

We value your help in maintaining data accuracy. Users who report demonstrably incorrect data receive one month of Shark Finance Pro (worth €19.90) as a thank you. Please note: This applies to factual errors only, not to missing or outdated data.

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