Savvylong Nvda Etf Market Value
| NVDU Etf | 30.57 0.77 2.46% |
| Symbol | SavvyLong |
SavvyLong NVDA '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 SavvyLong NVDA'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 SavvyLong NVDA.
| 10/24/2025 |
| 11/23/2025 |
If you would invest 0.00 in SavvyLong NVDA on October 24, 2025 and sell it all today you would earn a total of 0.00 from holding SavvyLong NVDA ETF or generate 0.0% return on investment in SavvyLong NVDA over 30 days.
SavvyLong NVDA 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 SavvyLong NVDA'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 SavvyLong NVDA ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.35 | |||
| Information Ratio | 0.007 | |||
| Maximum Drawdown | 18.94 | |||
| Value At Risk | (7.47) | |||
| Potential Upside | 7.33 |
SavvyLong NVDA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SavvyLong NVDA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SavvyLong NVDA's standard deviation. In reality, there are many statistical measures that can use SavvyLong NVDA historical prices to predict the future SavvyLong NVDA's volatility.| Risk Adjusted Performance | 0.0213 | |||
| Jensen Alpha | 0.0275 | |||
| Total Risk Alpha | (0.19) | |||
| Sortino Ratio | 0.0072 | |||
| Treynor Ratio | 0.0662 |
SavvyLong NVDA ETF Backtested Returns
SavvyLong NVDA ETF owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the etf had a close to zero % return per unit of risk over the last 3 months. SavvyLong NVDA ETF exposes twenty-nine different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate SavvyLong NVDA's Risk Adjusted Performance of 0.0213, coefficient of variation of 5414.5, and Semi Deviation of 4.28 to confirm the risk estimate we provide. The entity has a beta of 1.09, which indicates a somewhat significant risk relative to the market. SavvyLong NVDA returns are very sensitive to returns on the market. As the market goes up or down, SavvyLong NVDA is expected to follow.
Auto-correlation | -0.07 |
Very weak reverse predictability
SavvyLong NVDA ETF has very weak reverse predictability. Overlapping area represents the amount of predictability between SavvyLong NVDA time series from 24th of October 2025 to 8th of November 2025 and 8th of November 2025 to 23rd of November 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 SavvyLong NVDA ETF price movement. The serial correlation of -0.07 indicates that barely 7.0% of current SavvyLong NVDA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.07 | |
| Spearman Rank Test | -0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 5.47 |
SavvyLong NVDA ETF lagged returns against current returns
Autocorrelation, which is SavvyLong NVDA 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 SavvyLong NVDA's etf expected returns. We can calculate the autocorrelation of SavvyLong NVDA returns to help us make a trade decision. For example, suppose you find that SavvyLong NVDA 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 |
SavvyLong NVDA 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 SavvyLong NVDA etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if SavvyLong NVDA etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in SavvyLong NVDA etf over time.
Current vs Lagged Prices |
| Timeline |
SavvyLong NVDA Lagged Returns
When evaluating SavvyLong NVDA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of SavvyLong NVDA etf have on its future price. SavvyLong NVDA 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, SavvyLong NVDA autocorrelation shows the relationship between SavvyLong NVDA etf current value and its past values and can show if there is a momentum factor associated with investing in SavvyLong NVDA ETF.
Regressed Prices |
| Timeline |
Pair Trading with SavvyLong NVDA
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 SavvyLong NVDA 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 SavvyLong NVDA will appreciate offsetting losses from the drop in the long position's value.Moving together with SavvyLong Etf
The ability to find closely correlated positions to SavvyLong NVDA could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SavvyLong NVDA 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 SavvyLong NVDA - 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 SavvyLong NVDA ETF to buy it.
The correlation of SavvyLong NVDA 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 SavvyLong NVDA moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SavvyLong NVDA ETF 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 SavvyLong NVDA 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.