Structure vs Legend Comparison
Structure vs Legend comparative analysis provides an insight into diversification possibilities from combining Structure and Legend into the same portfolio. You can use this module to analyze the comparative aspects of Structure and Legend across most of their technical and fundamental indicators. Please use the input box below to enter a few concurrent symbols you would like to analyze. With this comparative module, you can estimate the relative strength of Structure against Legend. Check out your portfolio center.
The Macroaxis Comparable Analysis module helps investors to evaluate stocks by comparing them to other traded companies based on similar metrics to determine their enterprise value. The basic idea behind this approach is that Structure Therapeutics and Legend Biotech should bear some resemblance to each other or to other equities in a similar class. Legend Biotech At this time, Structure Therapeutics' Total Revenue is relatively stable compared to the past year. As of 11/06/2024, Cost Of Revenue is likely to grow to about 170.6 M, while Stock Based Compensation To Revenue is likely to drop 0.10.
Correlation Matrix
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between positions in your portfolio represents the degree of relationship between the price movements of corresponding instruments. A correlation of about +1.0 implies that the prices move in tandem. A correlation of -1.0 means that prices move in opposite directions. A correlation of close to zero suggests that the price movements of assets are uncorrelated.
Please specify at least 3 valid symbols having historical data to build a meaningful correlation cloud. You can use symbol search above to locate your securities.
Cross Equities Net Income Analysis
Compare Structure Therapeutics, and Legend Biotech Corp Net Income Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GPCR | (15.9 K) | (15.9 K) | (15.9 K) | (15.9 K) | (15.9 K) | (15.9 K) | (15.9 K) | (15.9 K) | (15.9 K) | (15.9 K) | (15.9 K) | (38 K) | (51.3 M) | (89.6 M) | (85.1 M) |
| LEGN | 9.4 M | 9.4 M | 9.4 M | 9.4 M | 9.4 M | 9.4 M | 9.4 M | 9.4 M | (2.8 M) | (133 M) | (303.5 M) | (386.2 M) | (446.3 M) | (518.3 M) | (492.3 M) |
Structure Therapeutics, and Legend Biotech Corp Net Income description
Net income is one of the most important fundamental items in finance. It plays a large role in entities financial statement analysis. It represents the amount of money remaining after all of organizations operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.Competitive Analysis
| Better Than Average | Worse Than Peers | View Performance Chart |
Market Neutrality
One of the main advantages of trading using market-neutral strategies is that every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses.
Please note, the success of pairs trading depends heavily on the modeling and forecasting of the spread time series. However, in general, pair trading minimizes risk from directional movements in the market unless the strategy's equities are perfectly correlated. For example, if an entire industry or sector drops because of unexpected headlines, the first equity's short position will appreciate offsetting losses from the drop in the long position's value.
Five steps to successful analysis of competition
Competitive analysis is the process of researching and evaluating the competitive landscape of a business entity. It provides an understanding of the company's strengths, weaknesses, opportunities, and threats (SWOT) in relation to its competition. The competition analysis typically involves several steps, including:- Identifying the key players in the market: This involves identifying the major competitors across the sector or industry, both direct and indirect, as well as new entrants and disruptive technologies.
- Assessing the strengths and weaknesses of each competitor: This involves evaluating each competitor's strengths and weaknesses in areas such as product offerings, market share, brand recognition, financial performance, and distribution channels.
- Understanding the competitive environment: This involves evaluating the regulatory environment, economic conditions, and other factors that may impact the competitive landscape.
- Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats and developing a strategy to address them.
- Evaluating the competitive landscape: This involves understanding the competitive dynamics of the market, such as pricing, marketing, and distribution strategies, as well as analyzing the competitive advantage of each competitor.
Explore Investing Ideas
You can quickly originate your optimal portfoio using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Did you try this?
Run ETF Categories Now
ETF CategoriesList of ETF categories grouped based on various criteria, such as the investment strategy or type of investments |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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