Clean Competitors
| CETY Stock | USD 0.80 0.07 8.05% |
Clean Energy vs Eshallgo Correlation
Very weak diversification
The correlation between Clean Energy Technologies and EHGO is 0.52 (i.e., Very weak diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Clean Energy Technologies and EHGO in the same portfolio, assuming nothing else is changed.
Moving against Clean Stock
| 0.86 | AIZ | Assurant | PairCorr |
| 0.79 | BKKPF | Bangkok Bank Public | PairCorr |
| 0.75 | PHI | PLDT Inc ADR | PairCorr |
| 0.75 | C | Citigroup Aggressive Push | PairCorr |
| 0.73 | LBLCF | Loblaw Companies | PairCorr |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Clean Energy's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Clean Energy Competition Correlation Matrix
Typically, diversification allows investors to combine positions across different asset classes to reduce overall portfolio risk. Correlation between Clean Energy 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 Clean 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 Clean Energy Technologies 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 Clean Stock performing well and Clean Energy 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 Clean Energy'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 | ||
|---|---|---|---|---|---|---|---|---|---|---|
| POLA | 5.41 | (0.71) | 0.00 | 0.79 | 0.00 | 12.44 | 50.35 | |||
| CVR | 2.76 | 0.43 | 0.16 | 0.36 | 2.60 | 6.82 | 21.37 | |||
| ZOOZ | 4.96 | (1.76) | 0.00 | (0.76) | 0.00 | 10.34 | 65.52 | |||
| SOAR | 6.04 | (2.23) | 0.00 | (1.51) | 0.00 | 8.42 | 36.59 | |||
| CLWT | 2.09 | 0.01 | (0.01) | 0.11 | 2.48 | 4.10 | 14.34 | |||
| MWG | 3.46 | (0.16) | 0.00 | (0.14) | 0.00 | 8.00 | 60.59 | |||
| INLF | 3.00 | (0.82) | 0.00 | (0.57) | 0.00 | 6.67 | 21.10 | |||
| KITT | 8.97 | (1.24) | 0.00 | (0.08) | 0.00 | 14.20 | 141.67 | |||
| MNTS | 9.02 | (1.18) | 0.00 | (0.11) | 0.00 | 17.86 | 70.67 | |||
| EHGO | 3.74 | (1.28) | 0.00 | (5.94) | 0.00 | 8.70 | 28.72 |
Cross Equities Net Income Analysis
Compare Clean Energy Technologies and related stocks such as Polar Power, Chicago Rivet Machine, and ZOOZ Power Net Income Over Time
Select Fundamental| 2010 | 2011 | 2012 | 2013 | 2014 | 2015 | 2016 | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 | 2024 | 2025 | 2026 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| POLA | 575.2 K | 575.2 K | 575.2 K | 575.2 K | 575.2 K | (33.3 K) | 4.4 M | (777.6 K) | (848.3 K) | (4.2 M) | (10.9 M) | (3.2 M) | (5.6 M) | (6.5 M) | (4.7 M) | (4.2 M) | (4.4 M) |
| CVR | 1.2 M | 1.3 M | 1.7 M | 2.5 M | 2 M | 1.7 M | 2.4 M | 2.1 M | 2 M | 538.3 K | 50.5 K | 1.1 M | 2.9 M | (4.4 M) | (5.6 M) | (5.1 M) | (4.8 M) |
| ZOOZ | (3.6 M) | (3.6 M) | (3.6 M) | (3.6 M) | (3.6 M) | (3.6 M) | (3.6 M) | (3.6 M) | (3.6 M) | (3.2 M) | (5.4 M) | (10.3 M) | (11.2 M) | (11.9 M) | (11 M) | (9.9 M) | (10.4 M) |
| SOAR | (1.5 M) | (1.5 M) | (1.5 M) | (1.5 M) | (1.5 M) | (1.5 M) | (1.5 M) | (1.5 M) | (1.5 M) | (1.5 M) | (1.5 M) | (1.5 M) | (9.4 M) | (52.8 M) | (40.6 M) | (36.6 M) | (38.4 M) |
| CLWT | 470 K | 521 K | (429 K) | (18 K) | 164 K | (616 K) | 231 K | 473 K | 88 K | (146 K) | 769 K | 989 K | 369 K | 1.8 M | 734 K | 844.1 K | 886.3 K |
| MWG | 3.1 B | 3.3 B | 993 M | 2.8 B | 3.8 B | 4.1 B | 3.4 B | 2.1 B | 6.5 B | 5.8 B | 1.3 M | 1.8 M | 978 K | 1.8 M | (2.9 M) | (2.6 M) | (2.4 M) |
| KITT | (9.3 M) | (9.3 M) | (9.3 M) | (9.3 M) | (9.3 M) | (9.3 M) | (9.3 M) | (9.3 M) | (9.3 M) | (9.3 M) | (7.2 M) | (15.1 M) | (28.3 M) | (50.7 M) | (134.9 M) | (121.4 M) | (115.3 M) |
| MNTS | (6.2 M) | (6.2 M) | (6.2 M) | (6.2 M) | (6.2 M) | (6.2 M) | (6.2 M) | (6.2 M) | (6.2 M) | 62.4 K | (307 M) | 120.7 M | (99.6 M) | (68.9 M) | (34.9 M) | (31.5 M) | (33 M) |
Clean Energy Technologies and related stocks such as Polar Power, Chicago Rivet Machine, and ZOOZ Power Net Income description
Net income is one of the most important fundamental items in finance. It plays a large role in Clean Energy Technologies financial statement analysis. It represents the amount of money remaining after all of Clean Energy Technologies operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.Clean Energy Competitive Analysis
The better you understand Clean Energy competitors, the better chance you have of utilizing it as a position in your portfolios. From an individual investor's perspective, Clean Energy'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 Clean Energy'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 |
Clean Energy Competition Performance Charts
Five steps to successful analysis of Clean Energy Competition
Clean Energy'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 Clean Energy Technologies in relation to its competition. Clean Energy's competition analysis typically involves several steps, including:- Identifying the key players in the market: This involves identifying the major competitors of Clean Energy 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 Clean Energy's competitive landscape.
- Identifying opportunities and threats: This involves using the information gathered during the analysis to identify opportunities and threats to Clean Energy Technologies, 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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Additional Tools for Clean Stock Analysis
When running Clean Energy's price analysis, check to measure Clean Energy'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 Clean Energy is operating at the current time. Most of Clean Energy's value examination focuses on studying past and present price action to predict the probability of Clean Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Clean Energy's price. Additionally, you may evaluate how the addition of Clean Energy to your portfolios can decrease your overall portfolio volatility.