Predictive Competitors

PDI Stock   0.25  0.01  4.17%   
Predictive Discovery competes with Duxton Broadacre, Macquarie Bank, Magellan Financial, Bank of Queensland, and Dicker Data; as well as few others. The company operates under Metals & Mining sector and is part of Materials industry. Analyzing Predictive Discovery competition allows you to expand the diversification possibilities of your existing portfolios and to get a better perspective on locking in new positions. Investors sometimes prefer comparable analysis of Predictive Discovery to its intrinsic valuation because they are able to contrast its competitors on a relative basis. Check out Predictive Discovery Correlation with its peers.
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 Predictive Discovery competition on your existing holdings.
  
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Hype
Prediction
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0.010.244.15
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0.010.214.12
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0.000.000.00
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Predictive Discovery Competition Correlation Matrix

Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Predictive Discovery and its competitors represents the degree of relationship between the price movements of corresponding stocks. A correlation of about +1.0 implies that the price of Predictive 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 Predictive Discovery does not affect the price movement of the other competitor.
Click cells to compare fundamentals   Check Volatility   Backtest Portfolio
High positive correlations   
WTLMFG
MFGMBLPD
WTLBOQPG
BOQPGMBLPD
WTLMBLPD
BOQPGMFG
  
High negative correlations   
WTLDDR
DDRMBLPD
DDRBOQPG
DDRMFG
WTLDBF
BOQPGDBF

Risk-Adjusted Indicators

There is a big difference between Predictive Stock performing well and Predictive Discovery 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 Predictive Discovery'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.

Cross Equities Net Income Analysis

Compare Predictive Discovery and related stocks such as Duxton Broadacre Farms, Macquarie Bank, and Magellan Financial Net Income Over Time
201020112012201320142015201620172018201920202021202220232024
DBF774.2 K774.2 K774.2 K774.2 K774.2 K2.2 M(1.5 M)(420 K)(1.1 M)(1.5 M)1.4 M(3.2 M)(10.1 M)5.2 M5.5 M
MFG54 K13.7 M66.6 M82.9 M174.3 M198.4 M196.2 M211.8 M376.9 M396.2 M265.2 M383 M182.7 M238.8 M153.7 M
DDR4.5 M8.3 M9.2 M5.2 M7.9 M20.5 M25.6 M26.9 M32.5 M54.3 M57.2 M73.6 M73 M82.1 M86.3 M
WTL495.9 K495.9 K495.9 K2.3 M1.5 M1.6 M968.8 K(4.3 M)(928.9 K)(593.5 K)(3.3 M)1.9 M4.1 M3.9 MM

Predictive Discovery and related stocks such as Duxton Broadacre Farms, Macquarie Bank, and Magellan Financial Net Income description

Net income is one of the most important fundamental items in finance. It plays a large role in Predictive Discovery financial statement analysis. It represents the amount of money remaining after all of Predictive Discovery operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.

Predictive Discovery Competitive Analysis

The better you understand Predictive Discovery competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Predictive Discovery'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 Predictive Discovery'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
PDI DBF MBLPD MFG BOQPG DDR WTL
 4.17 
 0.25 
Predictive
 1.43 
 1.38 
Duxton
 0.01 
 104.01 
Macquarie
 1.20 
 10.93 
Magellan
 0.49 
 103.19 
Bank
 2.16 
 8.51 
Dicker
 2.17 
 0.09 
WTL
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Predictive Discovery Competition Performance Charts

Five steps to successful analysis of Predictive Discovery Competition

Predictive Discovery'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 Predictive Discovery in relation to its competition. Predictive Discovery's competition analysis typically involves several steps, including:
  • Identifying the key players in the market: This involves identifying the major competitors of Predictive Discovery 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 Predictive Discovery's competitive landscape.
  • Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Predictive Discovery, 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.
Competitive analysis is an essential tool for businesses to stay ahead of the competition and can be used to inform decision-making and strategy development. By understanding the competitive landscape and staying informed about the activities of competitors, a company can make more informed decisions and improve its overall performance.

Complement your Predictive Discovery position

In addition to having Predictive Discovery 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.

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Information Technology (IT) companies and IT service providers across different domains. The IT theme has 37 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 IT Theme or any other thematic opportunities.
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Additional Tools for Predictive Stock Analysis

When running Predictive Discovery's price analysis, check to measure Predictive Discovery'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 Predictive Discovery is operating at the current time. Most of Predictive Discovery's value examination focuses on studying past and present price action to predict the probability of Predictive Discovery's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Predictive Discovery's price. Additionally, you may evaluate how the addition of Predictive Discovery to your portfolios can decrease your overall portfolio volatility.