Week Etf Market Value
| WEEK Etf | 100.07 0.02 0.02% |
| Symbol | WEEK |
The market value of WEEK is measured differently than its book value, which is the value of WEEK that is recorded on the company's balance sheet. Investors also form their own opinion of WEEK's value that differs from its market value or its book value, called intrinsic value, which is WEEK'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 WEEK's market value can be influenced by many factors that don't directly affect WEEK'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 WEEK's value and its price as these two are different measures arrived at by different means. Investors typically determine if WEEK is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, WEEK'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.
WEEK '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 WEEK's etf 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 WEEK.
| 05/06/2025 |
| 08/04/2025 |
If you would invest 0.00 in WEEK on May 6, 2025 and sell it all today you would earn a total of 0.00 from holding WEEK or generate 0.0% return on investment in WEEK over 90 days. WEEK is related to or competes with Texas Capital, US Treasury, Tidal Trust, and Franklin Liberty. WEEK is entity of United States. It is traded as Etf on AMEX exchange. More
WEEK 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 WEEK's etf 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 WEEK upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0165 | |||
| Information Ratio | (5.35) | |||
| Maximum Drawdown | 0.0903 | |||
| Value At Risk | (0.01) | |||
| Potential Upside | 0.0404 |
WEEK Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WEEK's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WEEK's standard deviation. In reality, there are many statistical measures that can use WEEK historical prices to predict the future WEEK's volatility.| Risk Adjusted Performance | 0.2901 | |||
| Jensen Alpha | 0.0061 | |||
| Total Risk Alpha | 0.0041 | |||
| Sortino Ratio | (5.86) | |||
| Treynor Ratio | 1.95 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WEEK'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.
WEEK Backtested Returns
As of now, WEEK Etf is very steady. WEEK shows Sharpe Ratio of 0.88, which attests that the etf had a 0.88 % return per unit of volatility over the last 3 months. We have found twenty-nine technical indicators for WEEK, which you can use to evaluate the volatility of the etf. Please check out WEEK's Coefficient Of Variation of 110.18, mean deviation of 0.0145, and Risk Adjusted Performance of 0.2901 to validate if the risk estimate we provide is consistent with the expected return of 0.016%. The entity maintains a market beta of 0.0033, which attests to not very significant fluctuations relative to the market. As returns on the market increase, WEEK's returns are expected to increase less than the market. However, during the bear market, the loss of holding WEEK is expected to be smaller as well.
Auto-correlation | 0.99 |
Perfect predictability
WEEK has perfect predictability. Overlapping area represents the amount of predictability between WEEK time series from 6th of May 2025 to 20th of June 2025 and 20th of June 2025 to 4th of August 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 WEEK price movement. The serial correlation of 0.99 indicates that 99.0% of current WEEK price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.99 | |
| Spearman Rank Test | 0.99 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
WEEK lagged returns against current returns
Autocorrelation, which is WEEK etf'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 WEEK's etf expected returns. We can calculate the autocorrelation of WEEK returns to help us make a trade decision. For example, suppose you find that WEEK has exhibited high autocorrelation historically, and you observe that the etf 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 |
WEEK 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 WEEK etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if WEEK etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in WEEK etf over time.
Current vs Lagged Prices |
| Timeline |
WEEK Lagged Returns
When evaluating WEEK's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of WEEK etf have on its future price. WEEK 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, WEEK autocorrelation shows the relationship between WEEK etf current value and its past values and can show if there is a momentum factor associated with investing in WEEK.
Regressed Prices |
| Timeline |
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WEEK technical etf 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, etf market cycles, or different charting patterns.