Siren Nasdaq Nexgen Etf Market Value
| BLCN Etf | USD 28.81 0.11 0.38% |
| Symbol | Siren |
The market value of Siren Nasdaq NexGen is measured differently than its book value, which is the value of Siren that is recorded on the company's balance sheet. Investors also form their own opinion of Siren Nasdaq's value that differs from its market value or its book value, called intrinsic value, which is Siren Nasdaq'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 Siren Nasdaq's market value can be influenced by many factors that don't directly affect Siren Nasdaq'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 Siren Nasdaq's value and its price as these two are different measures arrived at by different means. Investors typically determine if Siren Nasdaq is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Siren Nasdaq'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.
Siren Nasdaq '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 Siren Nasdaq'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 Siren Nasdaq.
| 10/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Siren Nasdaq on October 29, 2024 and sell it all today you would earn a total of 0.00 from holding Siren Nasdaq NexGen or generate 0.0% return on investment in Siren Nasdaq over 30 days. Siren Nasdaq is related to or competes with Grayscale Bitcoin, ProShares Bitcoin, Amplify Transformational, Bitwise Crypto, Grayscale Bitcoin, and First Trust. Under normal circumstances, at least 80 percent of the funds assets, will be invested in component securities of the ind... More
Siren Nasdaq 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 Siren Nasdaq'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 Siren Nasdaq NexGen upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.52 | |||
| Information Ratio | 0.0436 | |||
| Maximum Drawdown | 13.98 | |||
| Value At Risk | (3.29) | |||
| Potential Upside | 4.94 |
Siren Nasdaq Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Siren Nasdaq's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Siren Nasdaq's standard deviation. In reality, there are many statistical measures that can use Siren Nasdaq historical prices to predict the future Siren Nasdaq's volatility.| Risk Adjusted Performance | 0.0763 | |||
| Jensen Alpha | 0.0068 | |||
| Total Risk Alpha | (0.17) | |||
| Sortino Ratio | 0.0465 | |||
| Treynor Ratio | 0.1189 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Siren Nasdaq'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.
Siren Nasdaq NexGen Backtested Returns
Siren Nasdaq appears to be very steady, given 3 months investment horizon. Siren Nasdaq NexGen owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.0803, which indicates the etf had a 0.0803% return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Siren Nasdaq NexGen, which you can use to evaluate the volatility of the etf. Please review Siren Nasdaq's Coefficient Of Variation of 1108.5, semi deviation of 2.35, and Risk Adjusted Performance of 0.0763 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of 1.96, which indicates 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, Siren Nasdaq will likely underperform.
Auto-correlation | 0.41 |
Average predictability
Siren Nasdaq NexGen has average predictability. Overlapping area represents the amount of predictability between Siren Nasdaq time series from 29th of October 2024 to 13th of November 2024 and 13th of November 2024 to 28th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Siren Nasdaq NexGen price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Siren Nasdaq price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 0.23 |
Siren Nasdaq NexGen lagged returns against current returns
Autocorrelation, which is Siren Nasdaq 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 Siren Nasdaq's etf expected returns. We can calculate the autocorrelation of Siren Nasdaq returns to help us make a trade decision. For example, suppose you find that Siren Nasdaq 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 |
Siren Nasdaq 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 Siren Nasdaq etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Siren Nasdaq etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Siren Nasdaq etf over time.
Current vs Lagged Prices |
| Timeline |
Siren Nasdaq Lagged Returns
When evaluating Siren Nasdaq's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Siren Nasdaq etf have on its future price. Siren Nasdaq 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, Siren Nasdaq autocorrelation shows the relationship between Siren Nasdaq etf current value and its past values and can show if there is a momentum factor associated with investing in Siren Nasdaq NexGen.
Regressed Prices |
| Timeline |
Pair Trading with Siren Nasdaq
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 Siren Nasdaq 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 Siren Nasdaq will appreciate offsetting losses from the drop in the long position's value.Moving together with Siren Etf
| 0.93 | GBTC | Grayscale Bitcoin Trust | PairCorr |
| 0.93 | BITO | ProShares Bitcoin Buyout Trend | PairCorr |
| 0.95 | BLOK | Amplify Transformational | PairCorr |
The ability to find closely correlated positions to Siren Nasdaq could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Siren Nasdaq 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 Siren Nasdaq - 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 Siren Nasdaq NexGen to buy it.
The correlation of Siren Nasdaq 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 Siren Nasdaq moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Siren Nasdaq NexGen 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 Siren Nasdaq 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 Siren Nasdaq Correlation, Siren Nasdaq Volatility and Siren Nasdaq Alpha and Beta module to complement your research on Siren Nasdaq. You can also try the Bonds Directory module to find actively traded corporate debentures issued by US companies.
Siren Nasdaq 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.