CSTAF's market value is the price at which a share of CSTAF trades on a public exchange. It measures the collective expectations of CSTAF investors about its performance. CSTAF is trading at 12.99 as of the 15th of January 2026. This is a 4.00 percent increase since the beginning of the trading day. The stock's lowest day price was 12.99. With this module, you can estimate the performance of a buy and hold strategy of CSTAF and determine expected loss or profit from investing in CSTAF over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
Symbol
CSTAF
CSTAF '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 CSTAF'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 CSTAF.
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11/16/2025
No Change 0.00
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In 2 months and 2 days
01/15/2026
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If you would invest 0.00 in CSTAF on November 16, 2025 and sell it all today you would earn a total of 0.00 from holding CSTAF or generate 0.0% return on investment in CSTAF over 60 days.
CSTAF 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 CSTAF'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 CSTAF upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for CSTAF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as CSTAF's standard deviation. In reality, there are many statistical measures that can use CSTAF historical prices to predict the future CSTAF's volatility.
Please note, it is not enough to conduct a financial or market analysis of a single entity such as CSTAF. Your research has to be compared to or analyzed against CSTAF's peers to derive any actionable benefits. When done correctly, CSTAF's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in CSTAF.
CSTAF Backtested Returns
CSTAF appears to be not too volatile, given 3 months investment horizon. CSTAF secures Sharpe Ratio (or Efficiency) of 0.17, which signifies that the company had a 0.17 % return per unit of volatility over the last 3 months. We have found nineteen technical indicators for CSTAF, which you can use to evaluate the volatility of the firm. Please makes use of CSTAF's mean deviation of 0.3651, and Risk Adjusted Performance of 0.1203 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, CSTAF holds a performance score of 13. The firm shows a Beta (market volatility) of -0.14, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning CSTAF are expected to decrease at a much lower rate. During the bear market, CSTAF is likely to outperform the market. Please check CSTAF's kurtosis, as well as the relationship between the day median price and period momentum indicator , to make a quick decision on whether CSTAF's price patterns will revert.
Auto-correlation
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No correlation between past and present
CSTAF has no correlation between past and present. Overlapping area represents the amount of predictability between CSTAF time series from 16th of November 2025 to 16th of December 2025 and 16th of December 2025 to 15th of January 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 CSTAF price movement. The serial correlation of 0.0 indicates that just 0.0% of current CSTAF price fluctuation can be explain by its past prices.
Correlation Coefficient
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Spearman Rank Test
1.0
Residual Average
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Price Variance
0.42
CSTAF lagged returns against current returns
Autocorrelation, which is CSTAF 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 CSTAF's pink sheet expected returns. We can calculate the autocorrelation of CSTAF returns to help us make a trade decision. For example, suppose you find that CSTAF 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
CSTAF 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 CSTAF pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if CSTAF pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in CSTAF pink sheet over time.
Current vs Lagged Prices
Timeline
CSTAF Lagged Returns
When evaluating CSTAF's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of CSTAF pink sheet have on its future price. CSTAF 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, CSTAF autocorrelation shows the relationship between CSTAF pink sheet current value and its past values and can show if there is a momentum factor associated with investing in CSTAF.