Data3 Limited Stock Market Value

DTATF Stock  USD 4.05  0.00  0.00%   
Data#3's market value is the price at which a share of Data#3 trades on a public exchange. It measures the collective expectations of Data3 Limited investors about its performance. Data#3 is trading at 4.05 as of the 30th of November 2024. This is a No Change since the beginning of the trading day. The stock's lowest day price was 4.05.
With this module, you can estimate the performance of a buy and hold strategy of Data3 Limited and determine expected loss or profit from investing in Data#3 over a given investment horizon. Check out Data#3 Correlation, Data#3 Volatility and Data#3 Alpha and Beta module to complement your research on Data#3.
Symbol

Please note, there is a significant difference between Data#3's value and its price as these two are different measures arrived at by different means. Investors typically determine if Data#3 is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Data#3'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.

Data#3 '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 Data#3'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 Data#3.
0.00
10/31/2024
No Change 0.00  0.0 
In 31 days
11/30/2024
0.00
If you would invest  0.00  in Data#3 on October 31, 2024 and sell it all today you would earn a total of 0.00 from holding Data3 Limited or generate 0.0% return on investment in Data#3 over 30 days. Data#3 is related to or competes with Travelers Companies, Disney, Home Depot, Procter Gamble, Boeing, Walmart, and American Express. Data3 Limited, together with its subsidiaries, provides information technology solutions primarily in Australia More

Data#3 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 Data#3'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 Data3 Limited upside and downside potential and time the market with a certain degree of confidence.

Data#3 Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Data#3's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Data#3's standard deviation. In reality, there are many statistical measures that can use Data#3 historical prices to predict the future Data#3's volatility.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Data#3'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
3.574.054.53
Details
Intrinsic
Valuation
LowRealHigh
3.924.404.88
Details
Naive
Forecast
LowNextHigh
3.564.054.53
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
4.054.054.05
Details

Data3 Limited Backtested Returns

At this point, Data#3 is very steady. Data3 Limited secures Sharpe Ratio (or Efficiency) of 0.18, which denotes the company had a 0.18% return per unit of risk over the last 3 months. We have found seventeen technical indicators for Data3 Limited, which you can use to evaluate the volatility of the firm. Please confirm Data#3's Mean Deviation of 0.1586, standard deviation of 0.4721, and Variance of 0.2229 to check if the risk estimate we provide is consistent with the expected return of 0.0843%. Data#3 has a performance score of 13 on a scale of 0 to 100. The firm shows a Beta (market volatility) of 0.0235, which means not very significant fluctuations relative to the market. As returns on the market increase, Data#3's returns are expected to increase less than the market. However, during the bear market, the loss of holding Data#3 is expected to be smaller as well. Data3 Limited right now shows a risk of 0.48%. Please confirm Data3 Limited jensen alpha and rate of daily change , to decide if Data3 Limited will be following its price patterns.

Auto-correlation

    
  1.00  

Perfect predictability

Data3 Limited has perfect predictability. Overlapping area represents the amount of predictability between Data#3 time series from 31st of October 2024 to 15th of November 2024 and 15th of November 2024 to 30th of November 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 Data3 Limited price movement. The serial correlation of 1.0 indicates that 100.0% of current Data#3 price fluctuation can be explain by its past prices.
Correlation Coefficient1.0
Spearman Rank Test1.0
Residual Average0.0
Price Variance0.0

Data3 Limited lagged returns against current returns

Autocorrelation, which is Data#3 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 Data#3's pink sheet expected returns. We can calculate the autocorrelation of Data#3 returns to help us make a trade decision. For example, suppose you find that Data#3 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  

Data#3 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 Data#3 pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Data#3 pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Data#3 pink sheet over time.
   Current vs Lagged Prices   
       Timeline  

Data#3 Lagged Returns

When evaluating Data#3's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Data#3 pink sheet have on its future price. Data#3 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, Data#3 autocorrelation shows the relationship between Data#3 pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Data3 Limited.
   Regressed Prices   
       Timeline  

Currently Active Assets on Macroaxis

Other Information on Investing in Data#3 Pink Sheet

Data#3 financial ratios help investors to determine whether Data#3 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 Data#3 with respect to the benefits of owning Data#3 security.