Us E Equity Fund Market Value

DFQTX Fund  USD 41.39  0.37  0.90%   
Us E's market value is the price at which a share of Us E trades on a public exchange. It measures the collective expectations of Us E Equity investors about its performance. Us E is trading at 41.39 as of the 23rd of July 2025; that is 0.90 percent up since the beginning of the trading day. The fund's open price was 41.02.
With this module, you can estimate the performance of a buy and hold strategy of Us E Equity and determine expected loss or profit from investing in Us E over a given investment horizon. Check out Us E Correlation, Us E Volatility and Us E Alpha and Beta module to complement your research on Us E.
Symbol

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

Us 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 Us E's mutual fund 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 Us E.
0.00
04/24/2025
No Change 0.00  0.0 
In 3 months and 1 day
07/23/2025
0.00
If you would invest  0.00  in Us E on April 24, 2025 and sell it all today you would earn a total of 0.00 from holding Us E Equity or generate 0.0% return on investment in Us E over 90 days. Us E is related to or competes with Us Micro, Emerging Markets, Dfa One-year, Morningstar Unconstrained, Thrivent High, Via Renewables, and T Rowe. The fund purchases a broad and diverse group of equity securities of U.S More

Us 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 Us E's mutual fund 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 Us E Equity upside and downside potential and time the market with a certain degree of confidence.

Us E Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Us E's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Us E's standard deviation. In reality, there are many statistical measures that can use Us E historical prices to predict the future Us 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 Us 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
40.6041.3942.18
Details
Intrinsic
Valuation
LowRealHigh
37.2544.2945.08
Details
Naive
Forecast
LowNextHigh
39.8740.6641.44
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
40.8240.8243.09
Details

Us E Equity Backtested Returns

Us E appears to be very steady, given 3 months investment horizon. Us E Equity retains Efficiency (Sharpe Ratio) of 0.31, which indicates the fund had a 0.31 % return per unit of price deviation over the last 3 months. We have found twenty-eight technical indicators for Us E, which you can use to evaluate the volatility of the fund. Please review Us E's Downside Deviation of 0.786, risk adjusted performance of 0.2749, and Mean Deviation of 0.6403 to confirm if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of 0.92, which indicates possible diversification benefits within a given portfolio. Us E returns are very sensitive to returns on the market. As the market goes up or down, Us E is expected to follow.

Auto-correlation

    
  0.89  

Very good predictability

Us E Equity has very good predictability. Overlapping area represents the amount of predictability between Us E time series from 24th of April 2025 to 8th of June 2025 and 8th of June 2025 to 23rd 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 Us E Equity price movement. The serial correlation of 0.89 indicates that approximately 89.0% of current Us E price fluctuation can be explain by its past prices.
Correlation Coefficient0.89
Spearman Rank Test0.77
Residual Average0.0
Price Variance0.72

Us E Equity lagged returns against current returns

Autocorrelation, which is Us E mutual fund'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 Us E's mutual fund expected returns. We can calculate the autocorrelation of Us E returns to help us make a trade decision. For example, suppose you find that Us E has exhibited high autocorrelation historically, and you observe that the mutual fund 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  

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

Us E Lagged Returns

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

Also Currently Popular

Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

Other Information on Investing in DFQTX Mutual Fund

Us E financial ratios help investors to determine whether DFQTX Mutual Fund 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 DFQTX with respect to the benefits of owning Us E security.
Headlines Timeline
Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity
AI Portfolio Architect
Use AI to generate optimal portfolios and find profitable investment opportunities
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Technical Analysis
Check basic technical indicators and analysis based on most latest market data