Carnegie Clean Energy Stock Technical Analysis
| CWGYF Stock | USD 0.05 0 6.80% |
As of the 1st of February, Carnegie Clean shows the Risk Adjusted Performance of 0.0439, downside deviation of 15.76, and Mean Deviation of 10.5. Carnegie Clean Energy technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Put another way, you can use this information to find out if the firm will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We have analyzed and interpolated nineteen technical drivers for Carnegie Clean Energy, which can be compared to its peers. Please confirm Carnegie Clean Energy standard deviation, maximum drawdown, as well as the relationship between the Maximum Drawdown and expected short fall to decide if Carnegie Clean Energy is priced correctly, providing market reflects its regular price of 0.0452 per share. As Carnegie Clean Energy appears to be a penny stock we also recommend to validate its total risk alpha numbers.
Carnegie Clean Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Carnegie, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CarnegieCarnegie |
Carnegie Clean 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Carnegie Clean's otc stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Carnegie Clean.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Carnegie Clean on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding Carnegie Clean Energy or generate 0.0% return on investment in Carnegie Clean over 90 days. Carnegie Clean is related to or competes with Clean Teq, RE Royalties, and Summer Energy. Carnegie Clean Energy Limited develops and commercializes the CETO wave energy technology for converting ocean wave ener... More
Carnegie Clean Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Carnegie Clean's otc stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Carnegie Clean Energy upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 15.76 | |||
| Information Ratio | 0.0445 | |||
| Maximum Drawdown | 79.12 | |||
| Value At Risk | (23.78) | |||
| Potential Upside | 27.33 |
Carnegie Clean Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Carnegie Clean's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Carnegie Clean's standard deviation. In reality, there are many statistical measures that can use Carnegie Clean historical prices to predict the future Carnegie Clean's volatility.| Risk Adjusted Performance | 0.0439 | |||
| Jensen Alpha | 0.6766 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.042 | |||
| Treynor Ratio | 1.18 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Carnegie Clean'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.
Carnegie Clean February 1, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0439 | |||
| Market Risk Adjusted Performance | 1.19 | |||
| Mean Deviation | 10.5 | |||
| Semi Deviation | 12.37 | |||
| Downside Deviation | 15.76 | |||
| Coefficient Of Variation | 2102.9 | |||
| Standard Deviation | 14.87 | |||
| Variance | 221.17 | |||
| Information Ratio | 0.0445 | |||
| Jensen Alpha | 0.6766 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.042 | |||
| Treynor Ratio | 1.18 | |||
| Maximum Drawdown | 79.12 | |||
| Value At Risk | (23.78) | |||
| Potential Upside | 27.33 | |||
| Downside Variance | 248.24 | |||
| Semi Variance | 152.95 | |||
| Expected Short fall | (15.78) | |||
| Skewness | 0.0226 | |||
| Kurtosis | 0.5411 |
Carnegie Clean Energy Backtested Returns
Carnegie Clean appears to be out of control, given 3 months investment horizon. Carnegie Clean Energy secures Sharpe Ratio (or Efficiency) of 0.0603, which signifies that the company had a 0.0603 % return per unit of risk over the last 3 months. By analyzing Carnegie Clean's technical indicators, you can evaluate if the expected return of 0.89% is justified by implied risk. Please makes use of Carnegie Clean's Downside Deviation of 15.76, mean deviation of 10.5, and Risk Adjusted Performance of 0.0439 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Carnegie Clean holds a performance score of 4. The firm shows a Beta (market volatility) of 0.59, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, Carnegie Clean's returns are expected to increase less than the market. However, during the bear market, the loss of holding Carnegie Clean is expected to be smaller as well. Please check Carnegie Clean's maximum drawdown and the relationship between the expected short fall and period momentum indicator , to make a quick decision on whether Carnegie Clean's price patterns will revert.
Auto-correlation | -0.23 |
Weak reverse predictability
Carnegie Clean Energy has weak reverse predictability. Overlapping area represents the amount of predictability between Carnegie Clean time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st of February 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Carnegie Clean Energy price movement. The serial correlation of -0.23 indicates that over 23.0% of current Carnegie Clean price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.23 | |
| Spearman Rank Test | 0.07 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Carnegie Clean technical otc stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, otc market cycles, or different charting patterns.
Carnegie Clean Energy Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Carnegie Clean Energy volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Carnegie Clean Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Carnegie Clean Energy on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Carnegie Clean Energy based on its technical analysis. In general, a bottom-up approach, as applied to this otc stock, focuses on Carnegie Clean Energy price pattern first instead of the macroeconomic environment surrounding Carnegie Clean Energy. By analyzing Carnegie Clean's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Carnegie Clean's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Carnegie Clean specific price patterns or momentum indicators. Please read more on our technical analysis page.
Carnegie Clean February 1, 2026 Technical Indicators
Most technical analysis of Carnegie help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Carnegie from various momentum indicators to cycle indicators. When you analyze Carnegie charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0439 | |||
| Market Risk Adjusted Performance | 1.19 | |||
| Mean Deviation | 10.5 | |||
| Semi Deviation | 12.37 | |||
| Downside Deviation | 15.76 | |||
| Coefficient Of Variation | 2102.9 | |||
| Standard Deviation | 14.87 | |||
| Variance | 221.17 | |||
| Information Ratio | 0.0445 | |||
| Jensen Alpha | 0.6766 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | 0.042 | |||
| Treynor Ratio | 1.18 | |||
| Maximum Drawdown | 79.12 | |||
| Value At Risk | (23.78) | |||
| Potential Upside | 27.33 | |||
| Downside Variance | 248.24 | |||
| Semi Variance | 152.95 | |||
| Expected Short fall | (15.78) | |||
| Skewness | 0.0226 | |||
| Kurtosis | 0.5411 |
Carnegie Clean February 1, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Carnegie stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.07 | ||
| Daily Balance Of Power | (0.94) | ||
| Rate Of Daily Change | 0.93 | ||
| Day Median Price | 0.05 | ||
| Day Typical Price | 0.05 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0 |
Complementary Tools for Carnegie OTC Stock analysis
When running Carnegie Clean's price analysis, check to measure Carnegie Clean'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 Carnegie Clean is operating at the current time. Most of Carnegie Clean's value examination focuses on studying past and present price action to predict the probability of Carnegie Clean's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Carnegie Clean's price. Additionally, you may evaluate how the addition of Carnegie Clean to your portfolios can decrease your overall portfolio volatility.
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