Data Competitors
| DCLT Stock | USD 0.0001 0.00 0.00% |
You can use the Comparative Equity Analysis module to analyze the advantages of investing in your portfolio's related equities across multiple sectors and thematic ideas. Please use the input box below to enter symbols for particular investments you would like to analyze. With the equity comparison module, you can estimate the relative effect of Data Call competition on your existing holdings.
Data |
Data Call Competition Correlation Matrix
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Data Call and its competitors represents the degree of relationship between the price movements of corresponding pink sheets. A correlation of about +1.0 implies that the price of Data and its corresponding peer 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; in other words, the historical price movement of Data Call Technologi does not affect the price movement of the other competitor.
High positive correlations
| High negative correlations
|
Risk-Adjusted Indicators
There is a big difference between Data Pink Sheet performing well and Data Call Company doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Data Call's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.| Mean Deviation | Jensen Alpha | Sortino Ratio | Treynor Ratio | Semi Deviation | Expected Shortfall | Potential Upside | Value @Risk | Maximum Drawdown | ||
|---|---|---|---|---|---|---|---|---|---|---|
| DROP | 12.40 | 2.46 | 0.13 | (1.25) | 11.74 | 25.00 | 122.24 | |||
| SEII | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| ATDS | 9.05 | 1.24 | 0.05 | (0.79) | 9.84 | 28.57 | 111.11 | |||
| SMME | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| TAOP | 6.63 | (0.86) | (0.01) | 0.01 | 9.24 | 9.81 | 117.33 | |||
| DGTW | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |||
| GCLT | 26.90 | 11.12 | 0.00 | 1.21 | 0.00 | 0.00 | 990.00 | |||
| BYRG | 4.76 | 0.17 | 0.01 | 0.47 | 5.28 | 12.50 | 39.95 | |||
| ADHC | 10.24 | 1.80 | 0.12 | (0.53) | 8.91 | 31.25 | 89.37 |
Data Call Competitive Analysis
The better you understand Data Call competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Data Call's competitive analysis can cover a whole range of metrics. Some of these will be more critical depending on who you are as an investor and how you react to market volatility. However, if you are locking your investment sandscape to a long-term horizon, comparing the fundamental indicator across Data Call's competition over several years is one of the best ways to analyze its investment potential.| Better Than Average | Worse Than Peers | View Performance Chart |
Data Call Competition Performance Charts
Five steps to successful analysis of Data Call Competition
Data Call's competitive analysis is the process of researching and evaluating its competitive landscape. It provides an understanding of the strengths, weaknesses, opportunities, and threats (SWOT) faced by Data Call Technologi in relation to its competition. Data Call's competition analysis typically involves several steps, including:- Identifying the key players in the market: This involves identifying the major competitors of Data Call in the market, 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 Data Call's competitive landscape.
- Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Data Call Technologi, 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.
Complement your Data Call position
In addition to having Data Call in your portfolios, you can quickly add positions 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 Idea?
Run Broad Municipals ETFs Thematic Idea Now
Broad Municipals ETFs
ETF themes focus on helping investors to gain exposure to a broad range of assets, diversify, and lower overall costs. The Broad Municipals ETFs theme has 52 constituents at this time.
You can either use a buy-and-hold strategy to lock in the entire theme or actively trade it to take advantage of the short-term price volatility of individual constituents. Macroaxis can help you discover thousands of investment opportunities in different asset classes. In addition, you can partner with us for reliable portfolio optimization as you plan to utilize Broad Municipals ETFs Theme or any other thematic opportunities.
| View All Next | Launch |
Additional Tools for Data Pink Sheet Analysis
When running Data Call's price analysis, check to measure Data Call's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Data Call is operating at the current time. Most of Data Call's value examination focuses on studying past and present price action to predict the probability of Data Call's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Call's price. Additionally, you may evaluate how the addition of Data Call to your portfolios can decrease your overall portfolio volatility.