3 E Network Stock Market Value

MASK Stock   1.73  0.41  19.16%   
3 E's market value is the price at which a share of 3 E trades on a public exchange. It measures the collective expectations of 3 E Network investors about its performance. 3 E is selling for 1.73 as of the 15th of July 2025. This is a 19.16 percent down since the beginning of the trading day. The stock's last reported lowest price was 1.6.
With this module, you can estimate the performance of a buy and hold strategy of 3 E Network and determine expected loss or profit from investing in 3 E over a given investment horizon. Check out 3 E Correlation, 3 E Volatility and 3 E Alpha and Beta module to complement your research on 3 E.
Symbol

3 E Network Price To Book Ratio

Is IT Consulting & Other 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 3 E. If investors know MASK will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about 3 E listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
The market value of 3 E Network is measured differently than its book value, which is the value of MASK that is recorded on the company's balance sheet. Investors also form their own opinion of 3 E's value that differs from its market value or its book value, called intrinsic value, which is 3 E'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 3 E's market value can be influenced by many factors that don't directly affect 3 E's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between 3 E's value and its price as these two are different measures arrived at by different means. Investors typically determine if 3 E is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, 3 E'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 E '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 E'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 3 E.
0.00
06/15/2025
No Change 0.00  0.0 
In 30 days
07/15/2025
0.00
If you would invest  0.00  in 3 E on June 15, 2025 and sell it all today you would earn a total of 0.00 from holding 3 E Network or generate 0.0% return on investment in 3 E over 30 days. 3 E is related to or competes with Dave Busters, Teleflex Incorporated, Weibo Corp, Treace Medical, Aquestive Therapeutics, Gentex, and BCE. 3 E is entity of United States. It is traded as Stock on NASDAQ exchange. More

3 E 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 E'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 3 E Network upside and downside potential and time the market with a certain degree of confidence.

3 E Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for 3 E's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as 3 E's standard deviation. In reality, there are many statistical measures that can use 3 E historical prices to predict the future 3 E'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 E'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
0.101.907.32
Details
Intrinsic
Valuation
LowRealHigh
0.081.667.08
Details
Naive
Forecast
LowNextHigh
0.031.597.00
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
1.682.122.56
Details

3 E Network Backtested Returns

3 E Network secures Sharpe Ratio (or Efficiency) of -0.19, which signifies that the company had a -0.19 % return per unit of price deviation over the last 3 months. 3 E Network exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm 3 E's Information Ratio of (0.22), mean deviation of 3.8, and Variance of 27.97 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.82, which signifies possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning 3 E are expected to decrease at a much lower rate. During the bear market, 3 E is likely to outperform the market. At this point, 3 E Network has a negative expected return of -1.02%. Please make sure to confirm 3 E's maximum drawdown, as well as the relationship between the accumulation distribution and market facilitation index , to decide if 3 E Network performance from the past will be repeated sooner or later.

Auto-correlation

    
  0.87  

Very good predictability

3 E Network has very good predictability. Overlapping area represents the amount of predictability between 3 E time series from 15th of June 2025 to 30th of June 2025 and 30th of June 2025 to 15th of July 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 E Network price movement. The serial correlation of 0.87 indicates that approximately 87.0% of current 3 E price fluctuation can be explain by its past prices.
Correlation Coefficient0.87
Spearman Rank Test0.77
Residual Average0.0
Price Variance0.04

3 E Network lagged returns against current returns

Autocorrelation, which is 3 E stock'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 E's stock expected returns. We can calculate the autocorrelation of 3 E returns to help us make a trade decision. For example, suppose you find that 3 E has exhibited high autocorrelation historically, and you observe that the stock 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 E 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 E stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if 3 E stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in 3 E stock over time.
   Current vs Lagged Prices   
       Timeline  

3 E Lagged Returns

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

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect
When determining whether 3 E Network is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if MASK Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about 3 E Network Stock. Highlighted below are key reports to facilitate an investment decision about 3 E Network Stock:
Check out 3 E Correlation, 3 E Volatility and 3 E Alpha and Beta module to complement your research on 3 E.
You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
3 E 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.
A focus of 3 E technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of 3 E 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...