Compare Debt To Equity Across Equities
You can use any or all of fundamental ratio historical patterns as a complementary method for asset selection as well as a tool for deciding entry and exit points. Many technical investors use fundamentals to limit their universe of possible positions. Check out your portfolio center.
Cross Equities Debt To Equity Analysis
Select Fundamental
2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ENS | 0.5334 | 0.2476 | 0.1526 | 0.2564 | 0.4959 | 0.6205 | 0.5493 | 0.5001 | 0.8003 | 0.8852 | 0.6519 | 0.8716 | 0.6703 | 0.4747 | 0.72 |
SPCB | 0.3045 | (0.5512) | 0.1421 | 1.0E-4 | 0.0226 | 0.0226 | 0.0226 | 0.0226 | 0.4923 | 1.7561 | 4.5042 | 7.191 | 10.7876 | 7.235 | 7.6 |
RDCM | 0.1241 | 0.5173 | 0.5173 | 0.0839 | 0.0171 | 0.0171 | 0.0171 | 0.0171 | 0.0171 | 0.0171 | 0.0143 | 0.0141 | 0.0141 | 0.0162 | 0.0154 |
NTGR | (0.4345) | (0.4345) | (0.4345) | (0.4345) | (0.4345) | (0.4345) | (0.4345) | (0.4345) | (0.4345) | (0.4345) | (0.4345) | (0.4345) | (0.4345) | (0.39) | (0.41) |
PPYAU | (18.1887) | (18.1887) | (18.1887) | (18.1887) | (18.1887) | (18.1887) | (18.1887) | (18.1887) | (18.1887) | (18.1887) | (18.1887) | (18.1887) | 0.5904 | 0.53 | 0.56 |
BCE | 0.872 | 1.0761 | 1.1269 | 1.2599 | 1.3447 | 1.1916 | 1.0497 | 1.1977 | 1.1756 | 1.204 | 1.2182 | 1.3067 | 1.3973 | 1.5483 | 0.85 |
HIHO | 0.1376 | 0.0314 | 0.0093 | 0.0717 | 0.0717 | 0.0717 | 0.0717 | 0.0717 | 0.0717 | 0.0717 | 0.2012 | 0.1296 | 0.1296 | 0.15 | 0.15 |
TV | 1.1545 | 1.0833 | 0.8738 | 0.8957 | 1.0716 | 1.2797 | 1.6262 | 1.4917 | 1.4008 | 1.3491 | 1.6687 | 1.5634 | 0.8202 | 0.7423 | 0.78 |
Enersys, Supercom, and Radcom Debt To Equity description
A measure of a company's financial leverage calculated by dividing its total liabilities by stockholders' equity, indicating the proportion of equity and debt the company is using to finance its assets.Generate Optimal Portfolios
The classical approach to portfolio optimization is known as Modern Portfolio Theory (MPT). It involves categorizing the investment universe based on risk (standard deviation) and return, and then choosing the mix of investments that achieves the desired risk-versus-return tradeoff. Portfolio optimization can also be thought of as a risk-management strategy as every type of equity has a distinct return and risk characteristics as well as different systemic risks, which describes how they respond to the market at large. Macroaxis enables investors to optimize portfolios that have a mix of equities (such as stocks, funds, or ETFs) and cryptocurrencies (such as Bitcoin, Ethereum or Monero)
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Other Complementary Tools
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets |