Direxion Daily Utilities Etf Market Value
| UTSL Etf | USD 41.78 0.27 0.64% |
| Symbol | Direxion |
Investors evaluate Direxion Daily Utilities using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Direxion Daily's intrinsic value—the estimated true worth—helps identify when the stock trades at a discount or premium to fair value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. External factors like market trends, sector rotation, and investor psychology can cause Direxion Daily's market price to deviate significantly from intrinsic value.
Please note, there is a significant difference between Direxion Daily's value and its price as these two are different measures arrived at by different means. Investors typically determine if Direxion Daily is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. Conversely, Direxion Daily's market price signifies the transaction level at which participants voluntarily complete trades.
Direxion Daily '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 Direxion Daily'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 Direxion Daily.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in Direxion Daily on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding Direxion Daily Utilities or generate 0.0% return on investment in Direxion Daily over 90 days. Direxion Daily is related to or competes with Direxion Daily, Direxion Daily, Direxion Daily, Nuveen Short, ProShares Ultra, JP Morgan, and WBI BullBear. The fund invests at least 80 percent of its net assets in financial instruments, such as swap agreements, securities of ... More
Direxion Daily 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 Direxion Daily'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 Direxion Daily Utilities upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.10) | |||
| Maximum Drawdown | 10.9 | |||
| Value At Risk | (4.05) | |||
| Potential Upside | 3.64 |
Direxion Daily Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Direxion Daily's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Direxion Daily's standard deviation. In reality, there are many statistical measures that can use Direxion Daily historical prices to predict the future Direxion Daily's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.40) | |||
| Treynor Ratio | (0.17) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Direxion Daily'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.
Direxion Daily January 28, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.04) | |||
| Market Risk Adjusted Performance | (0.16) | |||
| Mean Deviation | 1.9 | |||
| Coefficient Of Variation | (1,421) | |||
| Standard Deviation | 2.44 | |||
| Variance | 5.96 | |||
| Information Ratio | (0.10) | |||
| Jensen Alpha | (0.25) | |||
| Total Risk Alpha | (0.40) | |||
| Treynor Ratio | (0.17) | |||
| Maximum Drawdown | 10.9 | |||
| Value At Risk | (4.05) | |||
| Potential Upside | 3.64 | |||
| Skewness | (0.52) | |||
| Kurtosis | 0.4422 |
Direxion Daily Utilities Backtested Returns
Direxion Daily Utilities secures Sharpe Ratio (or Efficiency) of -0.0704, which denotes the etf had a -0.0704 % return per unit of risk over the last 3 months. Direxion Daily Utilities exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Direxion Daily's Variance of 5.96, standard deviation of 2.44, and Mean Deviation of 1.9 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 1.05, which means a somewhat significant risk relative to the market. Direxion Daily returns are very sensitive to returns on the market. As the market goes up or down, Direxion Daily is expected to follow.
Auto-correlation | 0.02 |
Virtually no predictability
Direxion Daily Utilities has virtually no predictability. Overlapping area represents the amount of predictability between Direxion Daily time series from 30th of October 2025 to 14th of December 2025 and 14th of December 2025 to 28th of January 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 Direxion Daily Utilities price movement. The serial correlation of 0.02 indicates that only 2.0% of current Direxion Daily price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.02 | |
| Spearman Rank Test | -0.11 | |
| Residual Average | 0.0 | |
| Price Variance | 1.05 |
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Direxion Daily 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.