China Industrial Waste Stock Market Value
| CIWT Stock | USD 0.0001 0.00 0.00% |
| Symbol | China |
China Industrial '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 China Industrial'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 China Industrial.
| 06/28/2025 |
| 12/25/2025 |
If you would invest 0.00 in China Industrial on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding China Industrial Waste or generate 0.0% return on investment in China Industrial over 180 days. China Industrial Waste Management, Inc. provides environmental services and solutions in northeastern China More
China Industrial 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 China Industrial'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 China Industrial Waste upside and downside potential and time the market with a certain degree of confidence.
China Industrial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for China Industrial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as China Industrial's standard deviation. In reality, there are many statistical measures that can use China Industrial historical prices to predict the future China Industrial's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of China Industrial'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.
China Industrial Waste Backtested Returns
We have found three technical indicators for China Industrial Waste, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which signifies not very significant fluctuations relative to the market. the returns on MARKET and China Industrial are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
China Industrial Waste has no correlation between past and present. Overlapping area represents the amount of predictability between China Industrial time series from 28th of June 2025 to 26th of September 2025 and 26th of September 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 China Industrial Waste price movement. The serial correlation of 0.0 indicates that just 0.0% of current China Industrial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.92 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
China Industrial Waste lagged returns against current returns
Autocorrelation, which is China Industrial 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 China Industrial's pink sheet expected returns. We can calculate the autocorrelation of China Industrial returns to help us make a trade decision. For example, suppose you find that China Industrial 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 |
China Industrial 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 China Industrial pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if China Industrial pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in China Industrial pink sheet over time.
Current vs Lagged Prices |
| Timeline |
China Industrial Lagged Returns
When evaluating China Industrial's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of China Industrial pink sheet have on its future price. China Industrial 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, China Industrial autocorrelation shows the relationship between China Industrial pink sheet current value and its past values and can show if there is a momentum factor associated with investing in China Industrial Waste.
Regressed Prices |
| Timeline |
Thematic Opportunities
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Additional Tools for China Pink Sheet Analysis
When running China Industrial's price analysis, check to measure China Industrial'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 China Industrial is operating at the current time. Most of China Industrial's value examination focuses on studying past and present price action to predict the probability of China Industrial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Industrial's price. Additionally, you may evaluate how the addition of China Industrial to your portfolios can decrease your overall portfolio volatility.