Data#3 (Australia) Price History
DTL Stock | 7.50 0.07 0.92% |
Below is the normalized historical share price chart for Data3 extending back to December 31, 1997. This chart has been adjusted for all splits and dividends and is plotted against all major global economic recessions. As of today, the current price of Data#3 stands at 7.50, as last reported on the 24th of March, with the highest price reaching 7.58 and the lowest price hitting 7.47 during the day.
If you're considering investing in Data#3 Stock, it is important to understand the factors that can impact its price. Data#3 appears to be not too volatile, given 3 months investment horizon. Data#3 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 twenty-eight technical indicators for Data3, which you can use to evaluate the volatility of the firm. Please utilize Data#3's Coefficient Of Variation of 2627.5, downside deviation of 2.45, and Mean Deviation of 1.33 to check if our risk estimates are consistent with your expectations.
At this time, Data#3's Total Stockholder Equity is comparatively stable compared to the past year. Liabilities And Stockholders Equity is likely to gain to about 1 B in 2025, whereas Common Stock is likely to drop slightly above 9 M in 2025. . Data#3 Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
200 Day MA 7.5904 | 50 Day MA 7.251 | Beta 0.798 |
Data#3 |
Sharpe Ratio = 0.1796
Best Portfolio | Best Equity | |||
Good Returns | ||||
Average Returns | ||||
Small Returns | DTL | |||
Cash | Small Risk | Average Risk | High Risk | Huge Risk |
Negative Returns |
Estimated Market Risk
1.63 actual daily | 14 86% of assets are more volatile |
Expected Return
0.29 actual daily | 5 95% of assets have higher returns |
Risk-Adjusted Return
0.18 actual daily | 14 86% of assets perform better |
Based on monthly moving average Data#3 is performing at about 14% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Data#3 by adding it to a well-diversified portfolio.
Price Book 14.9615 | Enterprise Value Ebitda 15.3308 | Price Sales 1.4548 | Shares Float 139.9 M | Dividend Share 0.26 |
Data#3 Stock Price History Chart
There are several ways to analyze Data#3 Stock price data. The simplest method is using a basic Data#3 candlestick price chart, which shows Data#3 price history and the buying and selling dynamics of a specified period. Many traders also use subjective judgment to their trading calls, avoiding the need to trade based on technical analysis.
Highest Price | February 20, 2025 | 7.87 |
Lowest Price | January 13, 2025 | 6.04 |
Data#3 March 24, 2025 Stock Price Synopsis
Various analyses of Data#3's daily price changes, such as its Balance Of Power or Price Action, are crucial when deciding whether to buy, hold, or sell Data#3 Stock. It can be used to describe the percentage change in the price of Data#3 from one trading day to the next and could be a valuable metric for traders and investors to gauge the volatility and momentum of Data#3 Stock.Data#3 Price Rate Of Daily Change | 0.99 | |
Data#3 Price Action Indicator | (0.06) | |
Data#3 Price Daily Balance Of Power | (0.64) | |
Data#3 Accumulation Distribution | 4,519 |
Data#3 March 24, 2025 Stock Price Analysis
Data#3 Stock Price History Data
The price series of Data#3 for the period between Tue, Dec 24, 2024 and Mon, Mar 24, 2025 has a statistical range of 1.83 with a coefficient of variation of 8.03. Under current investment horizon, the daily prices are spread out with arithmetic mean of 6.94. The median price for the last 90 days is 6.98. The company completed 10:1 stock split on 10th of November 2011. Data#3 completed dividends distribution on 2025-03-14.Open | High | Low | Close | Volume | ||
03/24/2025 | 7.55 | 7.58 | 7.47 | 7.50 | 311,414 | |
03/24/2025 | 7.46 | 7.59 | 7.42 | 7.57 | ||
03/21/2025 | 7.46 | 7.59 | 7.42 | 7.57 | 707,148 | |
03/20/2025 | 7.39 | 7.54 | 7.36 | 7.51 | 574,072 | |
03/19/2025 | 7.31 | 7.37 | 7.23 | 7.34 | 294,506 | |
03/18/2025 | 7.36 | 7.37 | 7.21 | 7.28 | 228,953 | |
03/17/2025 | 7.33 | 7.34 | 7.16 | 7.29 | 386,860 | |
03/14/2025 | 7.18 | 7.26 | 6.98 | 7.22 | 612,731 | |
03/13/2025 | 7.46 | 7.49 | 7.16 | 7.17 | 662,139 | |
03/12/2025 | 7.41 | 7.46 | 7.33 | 7.39 | 521,434 | |
03/11/2025 | 7.49 | 7.52 | 7.40 | 7.46 | 262,373 | |
03/10/2025 | 7.56 | 7.63 | 7.51 | 7.57 | 257,408 | |
03/07/2025 | 7.66 | 7.70 | 7.49 | 7.50 | 378,926 | |
03/06/2025 | 7.68 | 7.79 | 7.58 | 7.71 | 510,773 | |
03/05/2025 | 7.54 | 7.79 | 7.54 | 7.66 | 758,169 | |
03/04/2025 | 7.58 | 7.74 | 7.53 | 7.74 | 290,512 | |
03/03/2025 | 7.64 | 7.75 | 7.50 | 7.72 | 276,023 | |
02/28/2025 | 7.61 | 7.66 | 7.51 | 7.59 | 729,744 | |
02/27/2025 | 7.61 | 7.75 | 7.55 | 7.75 | 561,711 | |
02/26/2025 | 7.59 | 7.64 | 7.51 | 7.61 | 476,981 | |
02/25/2025 | 7.61 | 7.72 | 7.57 | 7.62 | 591,150 | |
02/24/2025 | 7.80 | 7.83 | 7.63 | 7.74 | 716,608 | |
02/21/2025 | 7.93 | 8.19 | 7.82 | 7.86 | 697,800 | |
02/20/2025 | 7.95 | 8.06 | 7.79 | 7.87 | 1,054,781 | |
02/19/2025 | 7.37 | 7.87 | 7.35 | 7.84 | 1,007,399 | |
02/18/2025 | 7.11 | 7.36 | 7.11 | 7.28 | 428,753 | |
02/17/2025 | 7.22 | 7.22 | 7.09 | 7.21 | 218,531 | |
02/14/2025 | 7.13 | 7.20 | 7.08 | 7.14 | 236,189 | |
02/13/2025 | 7.31 | 7.31 | 7.00 | 7.04 | 240,960 | |
02/12/2025 | 7.27 | 7.28 | 7.10 | 7.10 | 471,318 | |
02/11/2025 | 7.20 | 7.27 | 7.16 | 7.21 | 319,596 | |
02/10/2025 | 7.04 | 7.21 | 7.04 | 7.15 | 345,142 | |
02/07/2025 | 6.99 | 7.13 | 6.97 | 7.13 | 502,043 | |
02/06/2025 | 6.97 | 7.01 | 6.93 | 6.98 | 283,830 | |
02/05/2025 | 6.84 | 6.93 | 6.79 | 6.92 | 209,554 | |
02/04/2025 | 6.83 | 6.84 | 6.74 | 6.74 | 289,815 | |
02/03/2025 | 6.82 | 6.83 | 6.74 | 6.74 | 328,526 | |
01/31/2025 | 6.86 | 6.88 | 6.77 | 6.84 | 314,477 | |
01/30/2025 | 6.73 | 6.83 | 6.71 | 6.79 | 230,764 | |
01/29/2025 | 6.75 | 6.87 | 6.69 | 6.73 | 459,921 | |
01/28/2025 | 6.68 | 6.84 | 6.61 | 6.78 | 571,592 | |
01/24/2025 | 6.70 | 6.78 | 6.61 | 6.73 | 575,114 | |
01/23/2025 | 6.61 | 6.66 | 6.57 | 6.64 | 430,749 | |
01/22/2025 | 6.55 | 6.68 | 6.55 | 6.61 | 618,536 | |
01/21/2025 | 6.53 | 6.57 | 6.47 | 6.52 | 409,837 | |
01/20/2025 | 6.39 | 6.52 | 6.39 | 6.51 | 315,556 | |
01/17/2025 | 6.35 | 6.48 | 6.33 | 6.44 | 316,974 | |
01/16/2025 | 6.36 | 6.40 | 6.32 | 6.35 | 434,315 | |
01/15/2025 | 6.24 | 6.32 | 6.21 | 6.29 | 540,312 | |
01/14/2025 | 6.06 | 6.23 | 6.06 | 6.23 | 451,141 | |
01/13/2025 | 6.19 | 6.29 | 6.01 | 6.04 | 652,137 | |
01/10/2025 | 6.26 | 6.35 | 6.23 | 6.26 | 410,639 | |
01/09/2025 | 6.27 | 6.31 | 6.14 | 6.25 | 290,035 | |
01/08/2025 | 6.13 | 6.32 | 6.07 | 6.28 | 894,541 | |
01/07/2025 | 6.20 | 6.26 | 6.13 | 6.18 | 412,641 | |
01/06/2025 | 6.30 | 6.33 | 6.19 | 6.20 | 445,354 | |
01/03/2025 | 6.20 | 6.30 | 6.16 | 6.23 | 433,735 | |
01/02/2025 | 6.27 | 6.31 | 6.20 | 6.22 | 297,412 | |
12/31/2024 | 6.25 | 6.33 | 6.23 | 6.28 | 222,441 | |
12/30/2024 | 6.35 | 6.35 | 6.25 | 6.29 | 352,650 | |
12/27/2024 | 6.33 | 6.43 | 6.33 | 6.34 | 225,614 |
About Data#3 Stock history
Data#3 investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Data#3 is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Data#3 will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Data#3 stock prices may prove useful in developing a viable investing in Data#3
Last Reported | Projected for Next Year | ||
Common Stock Shares Outstanding | 178.5 M | 165.5 M | |
Net Income Applicable To Common Shares | 42.6 M | 44.7 M |
Data#3 Quarterly Net Working Capital |
|
Data#3 Stock Technical Analysis
Data#3 technical stock 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, stock market cycles, or different charting patterns.
Did you try this?
Run Aroon Oscillator Now
Aroon OscillatorAnalyze current equity momentum using Aroon Oscillator and other momentum ratios |
All Next | Launch Module |
Data#3 Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Data#3's price direction in advance. Along with the technical and fundamental analysis of Data#3 Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Data#3 to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
Risk Adjusted Performance | 0.0394 | |||
Jensen Alpha | 0.0985 | |||
Total Risk Alpha | 0.2246 | |||
Sortino Ratio | 0.0553 | |||
Treynor Ratio | 0.1522 |
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Additional Tools for Data#3 Stock Analysis
When running Data#3's price analysis, check to measure Data#3'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 Data#3 is operating at the current time. Most of Data#3's value examination focuses on studying past and present price action to predict the probability of Data#3's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data#3's price. Additionally, you may evaluate how the addition of Data#3 to your portfolios can decrease your overall portfolio volatility.