3-D Matrix's market value is the price at which a share of 3-D Matrix trades on a public exchange. It measures the collective expectations of 3 D Matrix investors about its performance. 3-D Matrix is trading at 2.37 as of the 25th of December 2025. This is a No Change since the beginning of the trading day. The stock's lowest day price was 2.37. With this module, you can estimate the performance of a buy and hold strategy of 3 D Matrix and determine expected loss or profit from investing in 3-D Matrix over a given investment horizon. Check out 3-D Matrix Correlation, 3-D Matrix Volatility and 3-D Matrix Alpha and Beta module to complement your research on 3-D Matrix.
Please note, there is a significant difference between 3-D Matrix's value and its price as these two are different measures arrived at by different means. Investors typically determine if 3-D Matrix is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, 3-D Matrix'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.
3-D Matrix '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 3-D Matrix'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 3-D Matrix.
0.00
06/28/2025
No Change 0.00
0.0
In 5 months and 30 days
12/25/2025
0.00
If you would invest 0.00 in 3-D Matrix on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding 3 D Matrix or generate 0.0% return on investment in 3-D Matrix over 180 days. 3-D Matrix is related to or competes with American Oncology, Euroapi SA, Spectral Med, Hansa Biopharma, Transgene, Integrated Diagnostics, and Cellectis. 3-D Matrix, Ltd. develops self-assembling peptide technology More
3-D Matrix 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 3-D Matrix'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 3 D Matrix 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 3-D Matrix's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 3-D Matrix's standard deviation. In reality, there are many statistical measures that can use 3-D Matrix historical prices to predict the future 3-D Matrix's volatility.
3-D Matrix appears to be very risky, given 3 months investment horizon. 3 D Matrix secures Sharpe Ratio (or Efficiency) of 0.18, which signifies that the company had a 0.18 % return per unit of price deviation over the last 3 months. By inspecting 3-D Matrix's technical indicators, you can evaluate if the expected return of 0.82% is justified by implied risk. Please makes use of 3-D Matrix's Variance of 19.8, information ratio of 0.1597, and Mean Deviation of 1.51 to double-check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, 3-D Matrix holds a performance score of 14. The firm shows a Beta (market volatility) of 0.2, which signifies not very significant fluctuations relative to the market. As returns on the market increase, 3-D Matrix's returns are expected to increase less than the market. However, during the bear market, the loss of holding 3-D Matrix is expected to be smaller as well. Please check 3-D Matrix's market risk adjusted performance, information ratio, as well as the relationship between the Information Ratio and rate of daily change , to make a quick decision on whether 3-D Matrix's price patterns will revert.
Auto-correlation
0.49
Average predictability
3 D Matrix has average predictability. Overlapping area represents the amount of predictability between 3-D Matrix 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 3 D Matrix price movement. The serial correlation of 0.49 indicates that about 49.0% of current 3-D Matrix price fluctuation can be explain by its past prices.
Correlation Coefficient
0.49
Spearman Rank Test
0.92
Residual Average
0.0
Price Variance
0.1
3 D Matrix lagged returns against current returns
Autocorrelation, which is 3-D Matrix 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 3-D Matrix's pink sheet expected returns. We can calculate the autocorrelation of 3-D Matrix returns to help us make a trade decision. For example, suppose you find that 3-D Matrix 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
3-D Matrix 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 3-D Matrix pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 3-D Matrix pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 3-D Matrix pink sheet over time.
Current vs Lagged Prices
Timeline
3-D Matrix Lagged Returns
When evaluating 3-D Matrix's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 3-D Matrix pink sheet have on its future price. 3-D Matrix 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, 3-D Matrix autocorrelation shows the relationship between 3-D Matrix pink sheet current value and its past values and can show if there is a momentum factor associated with investing in 3 D Matrix.
3-D Matrix financial ratios help investors to determine whether 3-D 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 3-D with respect to the benefits of owning 3-D Matrix security.