3 D Matrix Stock Market Value

DMTRF Stock  USD 1.11  0.00  0.00%   
3 D's market value is the price at which a share of 3 D trades on a public exchange. It measures the collective expectations of 3 D Matrix investors about its performance. 3 D is trading at 1.11 as of the 21st of May 2024. This is a No Change since the beginning of the trading day. The stock's lowest day price was 1.11.
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 over a given investment horizon. Check out 3 D Correlation, 3 D Volatility and 3 D Alpha and Beta module to complement your research on 3 D.
Symbol

Please note, there is a significant difference between 3 D's value and its price as these two are different measures arrived at by different means. Investors typically determine if 3 D 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'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 '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'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.
0.00
04/21/2024
No Change 0.00  0.0 
In 31 days
05/21/2024
0.00
If you would invest  0.00  in 3 D on April 21, 2024 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 over 30 days. 3 D is related to or competes with Cellink AB, Bone Biologics, Brain Scientific, and Tenon Medical. 3-D Matrix, Ltd. develops self-assembling peptide technology More

3 D 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'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.

3 D Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for 3 D's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 3 D's standard deviation. In reality, there are many statistical measures that can use 3 D historical prices to predict the future 3 D's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of 3 D'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
1.111.111.11
Details
Intrinsic
Valuation
LowRealHigh
1.111.111.11
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as 3 D. Your research has to be compared to or analyzed against 3 D's peers to derive any actionable benefits. When done correctly, 3 D'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 3 D Matrix.

3 D Matrix Backtested Returns

We have found three technical indicators for 3 D Matrix, which you can use to evaluate the volatility of the entity. 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 3 D are completely uncorrelated.

Auto-correlation

    
  1.00  

Perfect predictability

3 D Matrix has perfect predictability. Overlapping area represents the amount of predictability between 3 D time series from 21st of April 2024 to 6th of May 2024 and 6th of May 2024 to 21st of May 2024. 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 1.0 indicates that 100.0% of current 3 D price fluctuation can be explain by its past prices.
Correlation Coefficient1.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

3 D Matrix lagged returns against current returns

Autocorrelation, which is 3 D 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's pink sheet expected returns. We can calculate the autocorrelation of 3 D returns to help us make a trade decision. For example, suppose you find that 3 D 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 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 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 3 D 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 pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

3 D Lagged Returns

When evaluating 3 D's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of 3 D pink sheet have on its future price. 3 D 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 autocorrelation shows the relationship between 3 D pink sheet current value and its past values and can show if there is a momentum factor associated with investing in 3 D Matrix.
   Regressed Prices   
       Timeline  

Currently Active Assets on Macroaxis

Check out 3 D Correlation, 3 D Volatility and 3 D Alpha and Beta module to complement your research on 3 D.
You can also try the Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

Complementary Tools for DMTRF Pink Sheet analysis

When running 3 D's price analysis, check to measure 3 D'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 3 D is operating at the current time. Most of 3 D's value examination focuses on studying past and present price action to predict the probability of 3 D's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move 3 D's price. Additionally, you may evaluate how the addition of 3 D to your portfolios can decrease your overall portfolio volatility.
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3 D technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.
A focus of 3 D technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of 3 D trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...