iBeta Stocks utilizes a comprehensive and data-driven approach to analyze and evaluate stocks. The platform employs a combination of quantitative and qualitative factors to assess the potential value and performance of individual stocks.

Quantitative analysis involves examining various financial metrics and ratios, such as earnings growth, revenue growth, profitability, and valuation multiples. iBeta Stocks utilizes advanced mathematical models and algorithms to process large volumes of historical and real-time data, identifying patterns and trends that can impact stock performance.

In addition to quantitative analysis, iBeta Stocks also considers qualitative factors, such as industry trends, competitive landscape, management quality, and overall market conditions. These qualitative assessments provide a broader understanding of the factors that can influence a stock's success.

iBeta Stocks may also employ technical analysis techniques, analyzing price charts, volume patterns, and other market indicators to identify potential entry and exit points for stocks.

By combining quantitative, qualitative, and technical analysis, iBeta Stocks aims to provide a comprehensive evaluation of stocks, helping investors make more informed decisions. It strives to identify stocks with strong growth potential, attractive valuation, and favorable market conditions, assisting users in building well-rounded investment portfolios.