Caring Brands' market value is the price at which a share of Caring Brands trades on a public exchange. It measures the collective expectations of Caring Brands investors about its performance. Caring Brands is trading at 0.86 as of the 2nd of January 2026, a 1.18% up since the beginning of the trading day. The stock's open price was 0.85. With this module, you can estimate the performance of a buy and hold strategy of Caring Brands and determine expected loss or profit from investing in Caring Brands 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 otc stock could be closely tied with the direction of predictive economic indicators such as signals in population.
Symbol
Caring
Caring Brands '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 Caring Brands' 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 Caring Brands.
0.00
12/03/2025
No Change 0.00
0.0
In 31 days
01/02/2026
0.00
If you would invest 0.00 in Caring Brands on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding Caring Brands or generate 0.0% return on investment in Caring Brands over 30 days.
Caring Brands 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 Caring Brands' 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 Caring Brands 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 Caring Brands' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Caring Brands' standard deviation. In reality, there are many statistical measures that can use Caring Brands historical prices to predict the future Caring Brands' volatility.
Caring Brands secures Sharpe Ratio (or Efficiency) of -0.0671, which signifies that the company had a -0.0671 % return per unit of risk over the last 3 months. Caring Brands exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Caring Brands' Mean Deviation of 8.42, risk adjusted performance of (0.04), and Standard Deviation of 13.92 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of 6.47, 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, Caring Brands will likely underperform. At this point, Caring Brands has a negative expected return of -0.96%. Please make sure to confirm Caring Brands' value at risk and the relationship between the kurtosis and market facilitation index , to decide if Caring Brands performance from the past will be repeated at some point in the near future.
Auto-correlation
0.21
Weak predictability
Caring Brands has weak predictability. Overlapping area represents the amount of predictability between Caring Brands time series from 3rd of December 2025 to 18th of December 2025 and 18th of December 2025 to 2nd 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 Caring Brands price movement. The serial correlation of 0.21 indicates that over 21.0% of current Caring Brands price fluctuation can be explain by its past prices.
Correlation Coefficient
0.21
Spearman Rank Test
0.41
Residual Average
0.0
Price Variance
0.0
Caring Brands lagged returns against current returns
Autocorrelation, which is Caring Brands otc stock'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 Caring Brands' otc stock expected returns. We can calculate the autocorrelation of Caring Brands returns to help us make a trade decision. For example, suppose you find that Caring Brands has exhibited high autocorrelation historically, and you observe that the otc stock 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
Caring Brands 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 Caring Brands otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Caring Brands otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Caring Brands otc stock over time.
Current vs Lagged Prices
Timeline
Caring Brands Lagged Returns
When evaluating Caring Brands' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Caring Brands otc stock have on its future price. Caring Brands 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, Caring Brands autocorrelation shows the relationship between Caring Brands otc stock current value and its past values and can show if there is a momentum factor associated with investing in Caring Brands.
Regressed Prices
Timeline
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