Kappa: Stocks screener 1.2.6

Love Media – Freeware – iOS
av 3 röster

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Kappa is a sophisticated stock screener that leverages over 50 years of stock market data to assist users in constructing a profitable investment portfolio while seeking to outperform the broader market.

Focusing on factor investing within value stocks, Kappa employs strategies favored by institutional investors for their potential to provide robust diversification and reduced risk. This approach mirrors the dynamics of market index simulation, systematically purchasing stocks that meet specific performance criteria. Such a methodology has the potential to surpass traditional benchmarks, such as the S&P 500, by excluding overvalued stocks and emphasizing financially robust companies.

Kappa's capabilities include scanning the market five times per minute and evaluating more than 5,000 stocks listed on the NYSE and NASDAQ against 15 distinct criteria. Stocks are assessed across three primary rankings:
<ul>
 <li>Valuation</li>
 <li>Profitability</li>
 <li>Financial Strength</li>
</ul>

Users can utilize these individual rankings or opt for a composite measure known as 'Best rating,' with each stock receiving an overall assessment categorized as follows:
<ul>
 <li>Strong Buy</li>
 <li>Buy</li>
 <li>Consider</li>
 <li>Avoid</li>
 <li>Strong Avoid</li>
</ul>

The ratings are determined in real-time by an intelligent ranking algorithm. Kappa integrates traditional financial metrics such as P/E ratio, EV/EBITDA, ROE, net margin, and quick ratio alongside advanced stability indicators like the Altman Z-score and Piotroski F-score, which evaluate a company’s bankruptcy risk and overall financial health.

Based on statistical analysis and backtesting, Kappa's investment strategy has demonstrated the potential to deliver annual returns of 18–20%, significantly outperforming the market by 6–8%.

<a href="https://www.kappa.app/privacy.html">Privacy policy</a>
<a href="https://www.apple.com/legal/internet-services/itunes/dev/stdeula/">Terms of use (EULA)</a>

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