Clean Coal Technologies Stock Technical Analysis
| CCTC Stock | USD 0.96 1.04 52.00% |
As of the 1st of March, Clean Coal shows the mean deviation of 7.72, and Risk Adjusted Performance of 0.0814. Clean Coal Technologies 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.
Clean Coal Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Clean, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to CleanClean |
Clean Coal '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 Clean Coal's pink sheet 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 Clean Coal.
| 12/01/2025 |
| 03/01/2026 |
If you would invest 0.00 in Clean Coal on December 1, 2025 and sell it all today you would earn a total of 0.00 from holding Clean Coal Technologies or generate 0.0% return on investment in Clean Coal over 90 days. Clean Coal is related to or competes with Latch, Xinda International, Tekcapital Plc, and RESAAS Services. Clean Coal Technologies, Inc. engages in developing and selling patented multi-stage process that transforms coal with h... More
Clean Coal 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 Clean Coal's pink sheet 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 Clean Coal Technologies upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0903 | |||
| Maximum Drawdown | 70.03 | |||
| Value At Risk | (9.09) |
Clean Coal Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Clean Coal's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Clean Coal's standard deviation. In reality, there are many statistical measures that can use Clean Coal historical prices to predict the future Clean Coal's volatility.| Risk Adjusted Performance | 0.0814 | |||
| Jensen Alpha | 2.41 | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | 1.39 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Clean Coal'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 Coal March 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 | 0.0814 | |||
| Market Risk Adjusted Performance | 1.4 | |||
| Mean Deviation | 7.72 | |||
| Coefficient Of Variation | 1068.31 | |||
| Standard Deviation | 27.38 | |||
| Variance | 749.52 | |||
| Information Ratio | 0.0903 | |||
| Jensen Alpha | 2.41 | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | 1.39 | |||
| Maximum Drawdown | 70.03 | |||
| Value At Risk | (9.09) | |||
| Skewness | 6.63 | |||
| Kurtosis | 50.49 |
Clean Coal Technologies Backtested Returns
Clean Coal is out of control given 3 months investment horizon. Clean Coal Technologies secures Sharpe Ratio (or Efficiency) of 0.0958, which signifies that the company had a 0.0958 % return per unit of standard deviation over the last 3 months. We were able to interpolate and analyze data for twenty-two different technical indicators, which can help you to evaluate if expected returns of 2.68% are justified by taking the suggested risk. Use Clean Coal risk adjusted performance of 0.0814, and Mean Deviation of 7.72 to evaluate company specific risk that cannot be diversified away. Clean Coal holds a performance score of 7 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 1.84, which signifies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Clean Coal will likely underperform. Use Clean Coal skewness, day typical price, and the relationship between the total risk alpha and daily balance of power , to analyze future returns on Clean Coal.
Auto-correlation | 0.00 |
No correlation between past and present
Clean Coal Technologies has no correlation between past and present. Overlapping area represents the amount of predictability between Clean Coal time series from 1st of December 2025 to 15th of January 2026 and 15th of January 2026 to 1st of March 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 Clean Coal Technologies price movement. The serial correlation of 0.0 indicates that just 0.0% of current Clean Coal price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Clean Coal technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Clean Coal Technologies Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Clean Coal Technologies across different markets.
About Clean Coal 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 Clean Coal Technologies 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 Clean Coal Technologies based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Clean Coal Technologies price pattern first instead of the macroeconomic environment surrounding Clean Coal Technologies. By analyzing Clean Coal'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 Clean Coal'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 Clean Coal specific price patterns or momentum indicators. Please read more on our technical analysis page.
Clean Coal March 1, 2026 Technical Indicators
Most technical analysis of Clean 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 Clean from various momentum indicators to cycle indicators. When you analyze Clean 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 | 0.0814 | |||
| Market Risk Adjusted Performance | 1.4 | |||
| Mean Deviation | 7.72 | |||
| Coefficient Of Variation | 1068.31 | |||
| Standard Deviation | 27.38 | |||
| Variance | 749.52 | |||
| Information Ratio | 0.0903 | |||
| Jensen Alpha | 2.41 | |||
| Total Risk Alpha | (0.31) | |||
| Treynor Ratio | 1.39 | |||
| Maximum Drawdown | 70.03 | |||
| Value At Risk | (9.09) | |||
| Skewness | 6.63 | |||
| Kurtosis | 50.49 |
Clean Coal March 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 Clean 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 | 0.30 | ||
| Daily Balance Of Power | (3.47) | ||
| Rate Of Daily Change | 0.48 | ||
| Day Median Price | 0.85 | ||
| Day Typical Price | 0.89 | ||
| Price Action Indicator | (0.41) | ||
| Market Facilitation Index | 0.30 |
Complementary Tools for Clean Pink Sheet analysis
When running Clean Coal's price analysis, check to measure Clean Coal'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 Coal is operating at the current time. Most of Clean Coal's value examination focuses on studying past and present price action to predict the probability of Clean Coal'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 Coal's price. Additionally, you may evaluate how the addition of Clean Coal to your portfolios can decrease your overall portfolio volatility.
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