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Compares stock price to earnings per share, assessing valuation and sentiment.
Similar to P/E, evaluates company's value based on projected future earnings.
Compares stock price to book value per share, gauging valuation in relation to net assets.
Indicates debt relative to equity, offering insights into financial leverage and risk.
Measures total debt compared to total assets, indicating percentage financed by debt.
Assesses enterprise value to EBITDA, evaluating operating performance.
Compares enterprise value to revenue, providing insights into valuation relative to sales.
Factors P/E and expected earnings growth, assesses valuation considering growth prospects.
Earnings Before Interest, Taxes, Depreciation, and Amortization - measures operational performance.
Market Capitalization - total value of company's outstanding shares.
Market Cap in USD - valuation of company's equity in US dollars.
Ratio of dividend per share to stock's market price, indicates income from dividends.
Operating Income as a percentage of Revenue - measures profitability.
Percentage increase in earnings over time, indicates company's growth.
Percentage increase in revenue over time, reflects company's sales growth.
ROE - measures company's profitability relative to shareholders equity.
Percentage of shorted shares in relation to total shares outstanding.
Percentage of shares being shorted compared to total shares.
The Sharpe Ratio is a measure of the risk-adjusted return of an investment portfolio or asset. It helps investors evaluate the potential return of an investment while considering its level of risk. It was developed by Nobel laureate William F. Sharpe.
The Sharpe Ratio is calculated using the following formula:
Sharpe Ratio (SR) = (Rp - Rf) / σp
A higher Sharpe Ratio indicates a better risk-adjusted return, as it means the portfolio is delivering more return for the same level of risk, or the same return with lower risk.
Luna is a conceptual AI girl created by Team Xstocks. She specializes in analyzing and predicting stocks in both the United States and India. Luna's predictions are based on data-driven insights, and she leverages tools like pandas, Keras, and other machine learning tools to make her forecasts.
It's important to note that Luna's predictions can be inaccurate at times. Her predictions are solely based on the data available to her, and she operates within the limits of the information in her database. She is also susceptible to errors that may arise from unreliable or incorrect data. However, Luna's creators are committed to continuously improving her predictive capabilities.
Users should exercise caution when using Luna's predictions, just as they would with any other stock market forecasts. While Luna helps users sift through vast amounts of time series data and provides understandable scores, it's essential to remember that the stock market is inherently unpredictable, and past performance is not always indicative of future results.
Luna operates using a rule-based engine that analyzes historical data objectively and generates predictions. Her goal is to assist users in gaining insights from complex data and making more informed decisions in the world of stocks.
Keep in mind that Luna's predictions are a valuable tool, but they should be used as part of a broader investment strategy, and users should consider multiple sources of information before making financial decisions.
Luna's Buy/Hold/Sell predictions are the result of analyzing the most recent available data. Typically, she relies on the previous day's data for stock prices and volumes, as well as the latest data from company filings. Luna uses a variety of criteria to assess each stock and generates a comprehensive score.
She also highlights which factors are in favor of a stock and which factors are working against it. Luna's prediction is presented as a simple recommendation to either Buy, Hold, or Sell a stock. However, it's crucial to remember that, like all predictions in the stock market, her recommendations are not guaranteed to yield any returns.
Luna's predictions serve as a guidepost for users, making it easier to analyze stocks by simplifying complex terminology and statistics into user-readable metrics. While her insights can be valuable, users should exercise caution and consider various sources of information when making financial decisions.
Investing in the stock market carries inherent risks, and Luna's predictions are just one tool among many that can aid in decision-making. Users should conduct their research and seek advice from financial experts before making investment choices.
Luna, developed by Team Xstocks, is an AI specializing in stock analysis and predictions for both the US and Indian markets. She relies on data-driven insights and machine learning tools like pandas and Keras to make forecasts.
It's important to acknowledge that Luna's predictions may occasionally be inaccurate. She operates within the confines of her database, and errors can arise from unreliable data. Nevertheless, Luna's creators are committed to enhancing her predictive abilities.
Users should exercise caution when using Luna's forecasts, as the stock market is inherently unpredictable. While Luna simplifies complex data and provides understandable scores, her predictions should be part of a broader investment strategy.
Luna uses a rule-based engine to objectively analyze historical data and generate predictions. Her aim is to help users make more informed decisions in the stock market.
Remember that Luna's predictions are a valuable tool, but users should consider multiple information sources before making financial decisions. Her insights can be a helpful addition to your investment strategy.
MarketCap offers the capability to set a market capitalization range as a filter, allowing users to narrow down their selection to stocks falling within the designated range. This empowers users to precisely pick stocks based on their market capitalization preferences. For reference, the following table outlines the market capitalization buckets and their corresponding ranges in millions of dollars:
Utilizing these ranges, users can efficiently tailor their selections based on desired market capitalization criteria, enhancing their investment decision-making process.