Alpha Competitors
| ACOG Stock | 5.10 0.60 13.33% |
Alpha Cognition vs Highest Performances Correlation
Very good diversification
The correlation between Alpha Cognition and MAAS is -0.25 (i.e., Very good diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Alpha Cognition and MAAS in the same portfolio, assuming nothing else is changed.
Moving against Alpha Stock
The current Return On Tangible Assets is estimated to decrease to -0.35. The Alpha Cognition's current Return On Capital Employed is estimated to increase to -0.21. At this time, Alpha Cognition's Total Current Assets are most likely to increase significantly in the upcoming years. The Alpha Cognition's current Intangible Assets is estimated to increase to about 477.6 K, while Non Currrent Assets Other are projected to decrease to roughly 36.6 K.Alpha Cognition Competition Correlation Matrix
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Alpha Cognition 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 Alpha 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 Alpha Cognition does not affect the price movement of the other competitor.
High positive correlations
| High negative correlations
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Risk-Adjusted Indicators
There is a big difference between Alpha Stock performing well and Alpha Cognition 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 Alpha Cognition'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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| DTSQ | 0.69 | 0.02 | (0.06) | 13.44 | 0.79 | 1.50 | 6.38 | |||
| NOEM | 0.14 | 0.01 | (0.21) | 0.45 | 0.06 | 0.39 | 1.25 | |||
| PROP | 3.07 | (0.03) | (0.02) | 0.00 | 3.68 | 8.28 | 21.34 | |||
| SRL | 3.51 | 0.67 | 0.18 | 1.23 | 2.85 | 17.08 | 29.54 | |||
| CHPG | 0.12 | 0.01 | (0.25) | (1.30) | 0.02 | 0.39 | 0.98 | |||
| FGBI | 2.95 | 0.51 | 0.15 | 0.39 | 3.32 | 8.86 | 23.91 | |||
| CAPN | 0.21 | 0.02 | (0.10) | (3.17) | 0.25 | 0.47 | 2.80 | |||
| YHNA | 0.22 | 0.01 | (0.10) | 1.56 | 0.28 | 0.56 | 3.36 | |||
| XYF | 2.80 | (1.30) | 0.00 | (2.02) | 0.00 | 4.05 | 19.10 | |||
| MAAS | 3.17 | 0.85 | 0.17 | (1.00) | 3.51 | 8.26 | 20.85 |
Cross Equities Net Income Analysis
Compare Alpha Cognition and related stocks such as DT Cloud Star, CO2 Energy Transition, and Prairie Operating Net Income Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| DTSQ | (1.6 K) | (1.6 K) | (1.6 K) | (1.6 K) | (1.6 K) | (1.6 K) | (1.6 K) | (1.6 K) | (1.6 K) | (1.6 K) | (1.6 K) | (1.6 K) | (1.6 K) | (4.2 K) | 1.2 M | 1.4 M | 1.4 M |
| NOEM | (6 K) | (6 K) | (6 K) | (6 K) | (6 K) | (6 K) | (6 K) | (6 K) | (6 K) | (6 K) | (6 K) | (6 K) | (151.8 K) | (184.4 K) | 2.6 K | 2.4 K | 2.5 K |
| PROP | (71.6 K) | (2 M) | (1 M) | (3.6 M) | 995.6 K | (4.3 M) | (1.6 M) | (5.7 M) | (2.6 M) | (2.2 M) | (1.9 M) | (17.3 M) | (461.5 K) | (79.1 M) | (40.9 M) | (36.8 M) | (35 M) |
| SRL | 13.3 M | 12.4 M | 199.7 M | 9.5 M | (683.6 K) | (515.1 M) | (25.9 M) | (46.9 M) | 117.9 M | (18.6 M) | 351.3 K | 7.7 M | (24.1 M) | 1.4 M | (21.6 M) | (19.5 M) | (18.5 M) |
| FGBI | 6 M | 8 M | 12.1 M | 9.1 M | 11.2 M | 14.5 M | 14.1 M | 11.8 M | 14.2 M | 14.2 M | 20.3 M | 27.3 M | 28.9 M | 9.2 M | 12.4 M | (56 M) | (53.2 M) |
| XYF | (119.6 M) | (119.6 M) | (119.6 M) | (119.6 M) | (119.6 M) | (119.6 M) | (119.6 M) | 340.3 M | 883.1 M | 774.3 M | (1.3 B) | 825.4 M | 812 M | 1.2 B | 1.5 B | 1.8 B | 1.9 B |
| MAAS | 37.8 M | 37.8 M | 37.8 M | 37.8 M | 37.8 M | 37.8 M | 37.8 M | 64.6 M | 53.5 M | (32.9 M) | (46.4 M) | (60.7 M) | (43.6 M) | (289.7 M) | (289.7 M) | (260.7 M) | (247.7 M) |
Alpha Cognition and related stocks such as DT Cloud Star, CO2 Energy Transition, and Prairie Operating Net Income description
Net income is one of the most important fundamental items in finance. It plays a large role in Alpha Cognition financial statement analysis. It represents the amount of money remaining after all of Alpha Cognition operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.Alpha Cognition Competitive Analysis
The better you understand Alpha Cognition competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Alpha Cognition'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 Alpha Cognition'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 |
Alpha Cognition Competition Performance Charts
Five steps to successful analysis of Alpha Cognition Competition
Alpha Cognition'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 Alpha Cognition in relation to its competition. Alpha Cognition's competition analysis typically involves several steps, including:- Identifying the key players in the market: This involves identifying the major competitors of Alpha Cognition 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 Alpha Cognition's competitive landscape.
- Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Alpha Cognition, 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.
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Check out Alpha Cognition Correlation with its peers. For more detail on how to invest in Alpha Stock please use our How to Invest in Alpha Cognition guide.You can also try the Crypto Correlations module to use cryptocurrency correlation module to diversify your cryptocurrency portfolio across multiple coins.
Can Biotechnology industry sustain growth momentum? Does Alpha have expansion opportunities? Factors like these will boost the valuation of Alpha Cognition. If investors know Alpha will grow in the future, the company's valuation will be higher. Determining accurate worth demands scrutiny of both present operating results and projected expansion capacity. Evaluating Alpha Cognition demands reviewing these metrics collectively while recognizing certain factors exert disproportionate influence.
Investors evaluate Alpha Cognition using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Alpha Cognition's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. External factors like market trends, sector rotation, and investor psychology can cause Alpha Cognition's market price to deviate significantly from intrinsic value.
Understanding that Alpha Cognition's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether Alpha Cognition represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. Conversely, Alpha Cognition's market price signifies the transaction level at which participants voluntarily complete trades.