AAPL 235.75 1.3455% MSFT 410.155 -0.3123% NVDA 130.825 -1.4872% GOOGL 183.46 -1.0037% GOOG 185.285 -0.9542% AMZN 230.915 -0.7927% META 724.9999 0.7224% AVGO 234.6 -0.1872% LLY 872.51 0.8682% TSLA 343.535 4.5769% TSM 206.27 -1.1833% V 351.22 0.1426% JPM 276.24 0.4546% UNH 530.45 -0.6499% NVO 81.515 -2.657% WMT 103.49 0.9954% LVMUY 144.14 1.0091% XOM 107.94 -2.4756% LVMHF 722.5 1.7606% MA 563.03 -0.2957%
AAPL 235.75 1.3455% MSFT 410.155 -0.3123% NVDA 130.825 -1.4872% GOOGL 183.46 -1.0037% GOOG 185.285 -0.9542% AMZN 230.915 -0.7927% META 724.9999 0.7224% AVGO 234.6 -0.1872% LLY 872.51 0.8682% TSLA 343.535 4.5769% TSM 206.27 -1.1833% V 351.22 0.1426% JPM 276.24 0.4546% UNH 530.45 -0.6499% NVO 81.515 -2.657% WMT 103.49 0.9954% LVMUY 144.14 1.0091% XOM 107.94 -2.4756% LVMHF 722.5 1.7606% MA 563.03 -0.2957%

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FAQ

Stock screeners can be considered as an investment tool used by investors for identifying quality stocks based on certain fundamental and technical analysis driven criterias. The idea is to select stocks among the entire universe of listed stocks in an exchange that may have the potential to perform over mid-to-long term horizon.
No, these screeners include companies from across the sectors and the market capitalization categories.
The mean Consensus Rating is based on the data provided by the licensed data provider. The Consensus Rating is based on the Standard Scale of 1) Strong Buy, 2) Buy, 3) Hold, 4) Sell, and 5) Strong Sell. The Consensus Mean Target is deduced using statistical averages of broker estimates determined to be on the majority accounting basis and is provided by the licensed data provider. The price target is the projected price level forecasted by the respective analyst(s) within a specific time horizon.
These screeners are suitable for all types of target audiences including beginners, traders, and investors as they help in screening stocks from both fundamental and technical analysis perspective. Nearly 100+ data points are considered while identifying these stocks in each of the stock baskets.
Our in-house research analysts at Kalkine have developed these data-driven tech-enabled screeners. These screeners are backed by extensive fundamental research and technical analysis as curated by a team of rich experienced analysts with professional background holding qualified certifications such as Master’s in Business Administration with specialization in Finance and or Chartered Financial Analysts (CFA).