E Data Stock Technical Analysis
| EDTA Stock | USD 0.00005 0.00 0.00% |
E data technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
E Data Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as EDTA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EDTAE Data's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Is Consulting Services space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of E Data. Projected growth potential of EDTA fundamentally drives upward valuation adjustments. The financial industry is built on trying to define current growth potential and future valuation accurately. Comprehensive E Data assessment requires weighing all these inputs, though not all factors influence outcomes equally.
Earnings Share (0.14) | Revenue Per Share 0.01 | Quarterly Revenue Growth 1.498 |
The market value of E data is measured differently than its book value, which is the value of EDTA that is recorded on the company's balance sheet. Investors also form their own opinion of E Data's value that differs from its market value or its book value, called intrinsic value, which is E Data's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because E Data's market value can be influenced by many factors that don't directly affect E Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between E Data's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding E Data should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, E Data's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
E Data '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 E Data's 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 E Data.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in E Data on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding E data or generate 0.0% return on investment in E Data over 90 days. E-data Corporation engages in the business of managing a patent, referred to as the Freeny Patent, that is entitled Syst... More
E Data 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 E Data's 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 E data upside and downside potential and time the market with a certain degree of confidence.
E Data Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for E Data's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as E Data's standard deviation. In reality, there are many statistical measures that can use E Data historical prices to predict the future E Data's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of E Data'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.
E data Backtested Returns
E Data is out of control given 3 months investment horizon. E data secures Sharpe Ratio (or Efficiency) of 0.13, which denotes the company had a 0.13 % return per unit of standard deviation over the last 3 months. We were able to interpolate and analyze data for four different technical indicators, which can help you to evaluate if expected returns of 16.39% are justified by taking the suggested risk. Use E Data day typical price of 1.0E-4, and Day Median Price of 1.0E-4 to evaluate company specific risk that cannot be diversified away. E Data holds a performance score of 10 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and E Data are completely uncorrelated. Use E Data day typical price , to analyze future returns on E Data.
Auto-correlation | 0.00 |
No correlation between past and present
E data has no correlation between past and present. Overlapping area represents the amount of predictability between E Data time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th of February 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 E data price movement. The serial correlation of 0.0 indicates that just 0.0% of current E Data price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
E Data 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.
E data Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of E data volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About E Data Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of E data on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of E data based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on E data price pattern first instead of the macroeconomic environment surrounding E data. By analyzing E Data's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of E Data's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to E Data specific price patterns or momentum indicators. Please read more on our technical analysis page.
E Data February 6, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as EDTA stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | Huge | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for EDTA Stock analysis
When running E Data's price analysis, check to measure E Data'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 E Data is operating at the current time. Most of E Data's value examination focuses on studying past and present price action to predict the probability of E Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move E Data's price. Additionally, you may evaluate how the addition of E Data to your portfolios can decrease your overall portfolio volatility.
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