Tortoise Capital Series Etf Market Value
TPYP Etf | USD 34.81 0.64 1.81% |
Symbol | Tortoise |
The market value of Tortoise Capital Series is measured differently than its book value, which is the value of Tortoise that is recorded on the company's balance sheet. Investors also form their own opinion of Tortoise Capital's value that differs from its market value or its book value, called intrinsic value, which is Tortoise Capital'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 Tortoise Capital's market value can be influenced by many factors that don't directly affect Tortoise Capital'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 Tortoise Capital's value and its price as these two are different measures arrived at by different means. Investors typically determine if Tortoise Capital is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Tortoise Capital'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.
Tortoise Capital '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 Tortoise Capital'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 Tortoise Capital.
04/23/2025 |
| 07/22/2025 |
If you would invest 0.00 in Tortoise Capital on April 23, 2025 and sell it all today you would earn a total of 0.00 from holding Tortoise Capital Series or generate 0.0% return on investment in Tortoise Capital over 90 days. Tortoise Capital is related to or competes with Alerian Energy, Global X, First Trust, IShares MSCI, and Barclays ETN. The fund will normally invest at least 80 percent of its total assets in securities that comprise the underlying index More
Tortoise Capital 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 Tortoise Capital'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 Tortoise Capital Series upside and downside potential and time the market with a certain degree of confidence.
Downside Deviation | 0.849 | |||
Information Ratio | (0.12) | |||
Maximum Drawdown | 3.65 | |||
Value At Risk | (1.17) | |||
Potential Upside | 1.57 |
Tortoise Capital Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Tortoise Capital's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Tortoise Capital's standard deviation. In reality, there are many statistical measures that can use Tortoise Capital historical prices to predict the future Tortoise Capital's volatility.Risk Adjusted Performance | 0.036 | |||
Jensen Alpha | 0.026 | |||
Total Risk Alpha | (0.11) | |||
Sortino Ratio | (0.13) | |||
Treynor Ratio | (16.11) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Tortoise Capital'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.
Tortoise Capital Series Backtested Returns
Currently, Tortoise Capital Series is very steady. Tortoise Capital Series owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0387, which indicates the etf had a 0.0387 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Tortoise Capital Series, which you can use to evaluate the volatility of the etf. Please validate Tortoise Capital's Semi Deviation of 0.785, risk adjusted performance of 0.036, and Coefficient Of Variation of 2586.85 to confirm if the risk estimate we provide is consistent with the expected return of 0.0358%. The entity has a beta of -0.0016, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Tortoise Capital are expected to decrease at a much lower rate. During the bear market, Tortoise Capital is likely to outperform the market.
Auto-correlation | 0.04 |
Virtually no predictability
Tortoise Capital Series has virtually no predictability. Overlapping area represents the amount of predictability between Tortoise Capital time series from 23rd of April 2025 to 7th of June 2025 and 7th of June 2025 to 22nd 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 Tortoise Capital Series price movement. The serial correlation of 0.04 indicates that only as little as 4.0% of current Tortoise Capital price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.04 | |
Spearman Rank Test | 0.03 | |
Residual Average | 0.0 | |
Price Variance | 0.07 |
Tortoise Capital Series lagged returns against current returns
Autocorrelation, which is Tortoise Capital 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 Tortoise Capital's etf expected returns. We can calculate the autocorrelation of Tortoise Capital returns to help us make a trade decision. For example, suppose you find that Tortoise Capital 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 |
Tortoise Capital 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 Tortoise Capital etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Tortoise Capital etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Tortoise Capital etf over time.
Current vs Lagged Prices |
Timeline |
Tortoise Capital Lagged Returns
When evaluating Tortoise Capital's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Tortoise Capital etf have on its future price. Tortoise Capital 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, Tortoise Capital autocorrelation shows the relationship between Tortoise Capital etf current value and its past values and can show if there is a momentum factor associated with investing in Tortoise Capital Series.
Regressed Prices |
Timeline |
Pair Trading with Tortoise Capital
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 Tortoise Capital 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 Tortoise Capital will appreciate offsetting losses from the drop in the long position's value.Moving against Tortoise Etf
The ability to find closely correlated positions to Tortoise Capital could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Tortoise Capital 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 Tortoise Capital - 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 Tortoise Capital Series to buy it.
The correlation of Tortoise Capital 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 Tortoise Capital moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Tortoise Capital Series 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 Tortoise Capital 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 Tortoise Capital Correlation, Tortoise Capital Volatility and Tortoise Capital Alpha and Beta module to complement your research on Tortoise Capital. You can also try the Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
Tortoise Capital 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.