Compare Cash Flow Coverage Ratios 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 Cash Flow Coverage Ratios Analysis
Compare Assembly Biosciences, Neoleukin Therapeutics, and Instil Bio Cash Flow Coverage Ratios Over Time
Select Fundamental2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
ASMB | (0.7169) | (26.3864) | (26.3864) | (26.3864) | (26.3864) | (26.3864) | (26.3864) | (26.3864) | (26.3864) | (26.3864) | (18.495) | (29.6401) | (25.1079) | (28.87) | (30.32) |
TIL | (2.4902) | (2.4902) | (2.4902) | (2.4902) | (2.4902) | (2.4902) | (2.4902) | (2.4902) | (2.4902) | (2.4902) | (2.4902) | (2.4902) | (2.4902) | (1.0074) | (1.06) |
CTMX | (1.9053) | (1.9053) | (1.9053) | (1.9053) | 10.6468 | (5.6483) | (5.6483) | (5.6483) | (5.6483) | (5.6483) | 0.2426 | (6.5923) | (7.9276) | (4.0099) | (4.21) |
ACHL | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
NXTC | (14.5512) | (14.5512) | (14.5512) | (14.5512) | (14.5512) | (14.5512) | (14.5512) | (14.5512) | 17.3739 | (7.1246) | (12.9439) | (8.1584) | (8.1584) | (8.9047) | (9.35) |
NUVB | (1.0267) | (1.0267) | (1.0267) | (1.0267) | (1.0267) | (1.0267) | (1.0267) | (1.0267) | (1.0267) | (79.0151) | (79.0151) | (79.0151) | (79.6915) | (34.4823) | (36.21) |
OVID | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Assembly Biosciences, Neoleukin Therapeutics, and Instil Bio Cash Flow Coverage Ratios description
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 Transaction History module to view history of all your transactions and understand their impact on performance.
Other Complementary Tools
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 | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
Bonds Directory Find actively traded corporate debentures issued by US companies |