Battleshares Tsla Vs Etf Market Value
| ELON Etf | 18.00 0.75 4.35% |
| Symbol | Battleshares |
The market value of Battleshares TSLA is measured differently than its book value, which is the value of Battleshares that is recorded on the company's balance sheet. Investors also form their own opinion of Battleshares TSLA's value that differs from its market value or its book value, called intrinsic value, which is Battleshares TSLA'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 Battleshares TSLA's market value can be influenced by many factors that don't directly affect Battleshares TSLA'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 Battleshares TSLA's value and its price as these two are different measures arrived at by different means. Investors typically determine if Battleshares TSLA is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Battleshares TSLA'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.
Battleshares TSLA '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 Battleshares TSLA'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 Battleshares TSLA.
| 07/23/2024 |
| 01/14/2026 |
If you would invest 0.00 in Battleshares TSLA on July 23, 2024 and sell it all today you would earn a total of 0.00 from holding Battleshares TSLA vs or generate 0.0% return on investment in Battleshares TSLA over 540 days. Battleshares TSLA is related to or competes with FT Vest, Zillow Group, Northern Lights, VanEck Vectors, and Diamond Hill. Echelon Corporation develops, markets, and sells embedded components, modules, edge servers, and software More
Battleshares TSLA 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 Battleshares TSLA'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 Battleshares TSLA vs upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.1) | |||
| Maximum Drawdown | 25.97 | |||
| Value At Risk | (4.23) | |||
| Potential Upside | 4.35 |
Battleshares TSLA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Battleshares TSLA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Battleshares TSLA's standard deviation. In reality, there are many statistical measures that can use Battleshares TSLA historical prices to predict the future Battleshares TSLA's volatility.| Risk Adjusted Performance | (0.04) | |||
| Jensen Alpha | (0.31) | |||
| Total Risk Alpha | (0.56) | |||
| Treynor Ratio | (0.19) |
Battleshares TSLA Backtested Returns
Battleshares TSLA secures Sharpe Ratio (or Efficiency) of -0.045, which signifies that the etf had a -0.045 % return per unit of risk over the last 3 months. Battleshares TSLA vs exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Battleshares TSLA's Standard Deviation of 3.08, risk adjusted performance of (0.04), and Mean Deviation of 1.85 to double-check the risk estimate we provide. The etf shows a Beta (market volatility) of 1.17, which signifies 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, Battleshares TSLA will likely underperform.
Auto-correlation | -0.71 |
Almost perfect reverse predictability
Battleshares TSLA vs has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Battleshares TSLA time series from 23rd of July 2024 to 19th of April 2025 and 19th of April 2025 to 14th 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 Battleshares TSLA price movement. The serial correlation of -0.71 indicates that around 71.0% of current Battleshares TSLA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.71 | |
| Spearman Rank Test | -0.1 | |
| Residual Average | 0.0 | |
| Price Variance | 7.04 |
Battleshares TSLA lagged returns against current returns
Autocorrelation, which is Battleshares TSLA 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 Battleshares TSLA's etf expected returns. We can calculate the autocorrelation of Battleshares TSLA returns to help us make a trade decision. For example, suppose you find that Battleshares TSLA 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 |
Battleshares TSLA 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 Battleshares TSLA etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Battleshares TSLA etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Battleshares TSLA etf over time.
Current vs Lagged Prices |
| Timeline |
Battleshares TSLA Lagged Returns
When evaluating Battleshares TSLA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Battleshares TSLA etf have on its future price. Battleshares TSLA 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, Battleshares TSLA autocorrelation shows the relationship between Battleshares TSLA etf current value and its past values and can show if there is a momentum factor associated with investing in Battleshares TSLA vs.
Regressed Prices |
| Timeline |
Pair Trading with Battleshares TSLA
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Battleshares TSLA position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Battleshares TSLA will appreciate offsetting losses from the drop in the long position's value.Moving together with Battleshares Etf
Moving against Battleshares Etf
| 0.75 | YCS | ProShares UltraShort Yen | PairCorr |
| 0.66 | JEPI | JPMorgan Equity Premium Sell-off Trend | PairCorr |
| 0.6 | AGQ | ProShares Ultra Silver | PairCorr |
| 0.57 | INOV | Innovator ETFs Trust | PairCorr |
| 0.43 | UDN | Invesco DB Dollar | PairCorr |
The ability to find closely correlated positions to Battleshares TSLA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Battleshares TSLA when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Battleshares TSLA - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Battleshares TSLA vs to buy it.
The correlation of Battleshares TSLA is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Battleshares TSLA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Battleshares TSLA moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Battleshares TSLA can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Battleshares TSLA Correlation, Battleshares TSLA Volatility and Battleshares TSLA Alpha and Beta module to complement your research on Battleshares TSLA. You can also try the Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
Battleshares TSLA 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.