Clean Coal Technologies Stock Market Value

CCTC Stock  USD 0.65  0.00  0.00%   
Clean Coal's market value is the price at which a share of Clean Coal trades on a public exchange. It measures the collective expectations of Clean Coal Technologies investors about its performance. Clean Coal is trading at 0.65 as of the 25th of December 2025, a No Change since the beginning of the trading day. The stock's open price was 0.65.
With this module, you can estimate the performance of a buy and hold strategy of Clean Coal Technologies and determine expected loss or profit from investing in Clean Coal over a given investment horizon. Check out Clean Coal Correlation, Clean Coal Volatility and Clean Coal Alpha and Beta module to complement your research on Clean Coal.
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Please note, there is a significant difference between Clean Coal's value and its price as these two are different measures arrived at by different means. Investors typically determine if Clean Coal is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Clean Coal's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

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.
0.00
11/25/2025
No Change 0.00  0.0 
In 31 days
12/25/2025
0.00
If you would invest  0.00  in Clean Coal on November 25, 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 30 days. Clean Coal is related to or competes with Latch, Xinda International, Mobivity Holdings, 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.

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.
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.
Hype
Prediction
LowEstimatedHigh
0.030.652.46
Details
Intrinsic
Valuation
LowRealHigh
0.030.572.38
Details
Naive
Forecast
LowNextHigh
0.010.652.46
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.650.650.65
Details

Clean Coal Technologies Backtested Returns

Clean Coal Technologies secures Sharpe Ratio (or Efficiency) of -0.12, which signifies that the company had a -0.12 % return per unit of standard deviation over the last 3 months. Clean Coal Technologies exposes sixteen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Clean Coal's mean deviation of 0.432, and Risk Adjusted Performance of (0.08) to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.0457, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Clean Coal are expected to decrease at a much lower rate. During the bear market, Clean Coal is likely to outperform the market. At this point, Clean Coal Technologies has a negative expected return of -0.23%. Please make sure to confirm Clean Coal's standard deviation and the relationship between the treynor ratio and day typical price , to decide if Clean Coal Technologies performance from the past will be repeated at some point in the near future.

Auto-correlation

    
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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 25th of November 2025 to 10th of December 2025 and 10th of December 2025 to 25th of December 2025. 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 Coefficient0.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

Clean Coal Technologies lagged returns against current returns

Autocorrelation, which is Clean Coal pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Clean Coal's pink sheet expected returns. We can calculate the autocorrelation of Clean Coal returns to help us make a trade decision. For example, suppose you find that Clean Coal has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Clean Coal regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Clean Coal pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Clean Coal pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Clean Coal pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

Clean Coal Lagged Returns

When evaluating Clean Coal's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Clean Coal pink sheet have on its future price. Clean Coal autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Clean Coal autocorrelation shows the relationship between Clean Coal pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Clean Coal Technologies.
   Regressed Prices   
       Timeline  

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in Clean Pink Sheet

Clean Coal financial ratios help investors to determine whether Clean Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Clean with respect to the benefits of owning Clean Coal security.