Direxion Shares Etf Market Value
| TSLL Etf | USD 17.85 0.87 4.65% |
| Symbol | Direxion |
The market value of Direxion Shares ETF is measured differently than its book value, which is the value of Direxion that is recorded on the company's balance sheet. Investors also form their own opinion of Direxion Shares' value that differs from its market value or its book value, called intrinsic value, which is Direxion Shares' 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 Direxion Shares' market value can be influenced by many factors that don't directly affect Direxion Shares' 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 Direxion Shares' value and its price as these two are different measures arrived at by different means. Investors typically determine if Direxion Shares is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Direxion Shares' 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.
Direxion Shares '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 Shares' 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 Shares.
| 10/28/2025 |
| 01/26/2026 |
If you would invest 0.00 in Direxion Shares on October 28, 2025 and sell it all today you would earn a total of 0.00 from holding Direxion Shares ETF or generate 0.0% return on investment in Direxion Shares over 90 days. Direxion Shares is related to or competes with Schwab Fundamental, United States, JP Morgan, First Trust, IShares SP, Vanguard Energy, and First Trust. The fund, under normal circumstances, invests at least 80 percent of its net assets in the securities of TSLA and financ... More
Direxion Shares 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 Shares' 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 Shares ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 5.43 | |||
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 22.56 | |||
| Value At Risk | (9.19) | |||
| Potential Upside | 8.21 |
Direxion Shares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Direxion Shares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Direxion Shares' standard deviation. In reality, there are many statistical measures that can use Direxion Shares historical prices to predict the future Direxion Shares' volatility.| Risk Adjusted Performance | 0.0126 | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.48) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0074 |
Direxion Shares January 26, 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 | 0.0126 | |||
| Market Risk Adjusted Performance | 0.0174 | |||
| Mean Deviation | 4.26 | |||
| Semi Deviation | 5.35 | |||
| Downside Deviation | 5.43 | |||
| Coefficient Of Variation | 18282.65 | |||
| Standard Deviation | 5.4 | |||
| Variance | 29.2 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | (0.16) | |||
| Total Risk Alpha | (0.48) | |||
| Sortino Ratio | (0.01) | |||
| Treynor Ratio | 0.0074 | |||
| Maximum Drawdown | 22.56 | |||
| Value At Risk | (9.19) | |||
| Potential Upside | 8.21 | |||
| Downside Variance | 29.5 | |||
| Semi Variance | 28.6 | |||
| Expected Short fall | (4.56) | |||
| Skewness | (0.12) | |||
| Kurtosis | (0.23) |
Direxion Shares ETF Backtested Returns
Direxion Shares ETF secures Sharpe Ratio (or Efficiency) of -0.0122, which denotes the etf had a -0.0122 % return per unit of risk over the last 3 months. Direxion Shares ETF exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Direxion Shares' Mean Deviation of 4.26, coefficient of variation of 18282.65, and Downside Deviation of 5.43 to check the risk estimate we provide. The etf shows a Beta (market volatility) of 2.64, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Direxion Shares will likely underperform.
Auto-correlation | 0.61 |
Good predictability
Direxion Shares ETF has good predictability. Overlapping area represents the amount of predictability between Direxion Shares time series from 28th of October 2025 to 12th of December 2025 and 12th of December 2025 to 26th 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 Shares ETF price movement. The serial correlation of 0.61 indicates that roughly 61.0% of current Direxion Shares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.61 | |
| Spearman Rank Test | 0.32 | |
| Residual Average | 0.0 | |
| Price Variance | 3.48 |
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Direxion Shares 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.