Savvyshort Shopify Etf Market Value
| SHPD Etf | 23.04 0.70 2.95% |
| Symbol | SavvyShort |
SavvyShort Shopify '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 SavvyShort Shopify'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 SavvyShort Shopify.
| 11/18/2025 |
| 02/16/2026 |
If you would invest 0.00 in SavvyShort Shopify on November 18, 2025 and sell it all today you would earn a total of 0.00 from holding SavvyShort Shopify ETF or generate 0.0% return on investment in SavvyShort Shopify over 90 days.
SavvyShort Shopify 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 SavvyShort Shopify'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 SavvyShort Shopify ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 6.77 | |||
| Information Ratio | 0.1167 | |||
| Maximum Drawdown | 37.17 | |||
| Value At Risk | (12.38) | |||
| Potential Upside | 15.72 |
SavvyShort Shopify Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for SavvyShort Shopify's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as SavvyShort Shopify's standard deviation. In reality, there are many statistical measures that can use SavvyShort Shopify historical prices to predict the future SavvyShort Shopify's volatility.| Risk Adjusted Performance | 0.1113 | |||
| Jensen Alpha | 0.996 | |||
| Total Risk Alpha | 0.3462 | |||
| Sortino Ratio | 0.1164 | |||
| Treynor Ratio | (0.34) |
SavvyShort Shopify February 16, 2026 Technical Indicators
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| Risk Adjusted Performance | 0.1113 | |||
| Market Risk Adjusted Performance | (0.33) | |||
| Mean Deviation | 4.57 | |||
| Semi Deviation | 5.41 | |||
| Downside Deviation | 6.77 | |||
| Coefficient Of Variation | 787.1 | |||
| Standard Deviation | 6.75 | |||
| Variance | 45.56 | |||
| Information Ratio | 0.1167 | |||
| Jensen Alpha | 0.996 | |||
| Total Risk Alpha | 0.3462 | |||
| Sortino Ratio | 0.1164 | |||
| Treynor Ratio | (0.34) | |||
| Maximum Drawdown | 37.17 | |||
| Value At Risk | (12.38) | |||
| Potential Upside | 15.72 | |||
| Downside Variance | 45.77 | |||
| Semi Variance | 29.26 | |||
| Expected Short fall | (4.64) | |||
| Skewness | 0.4716 | |||
| Kurtosis | 1.78 |
SavvyShort Shopify ETF Backtested Returns
SavvyShort Shopify appears to be somewhat reliable, given 3 months investment horizon. SavvyShort Shopify ETF owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the etf had a 0.13 % return per unit of risk over the last 3 months. By inspecting SavvyShort Shopify's technical indicators, you can evaluate if the expected return of 0.84% is justified by implied risk. Please review SavvyShort Shopify's Coefficient Of Variation of 787.1, semi deviation of 5.41, and Risk Adjusted Performance of 0.1113 to confirm if our risk estimates are consistent with your expectations. The entity has a beta of -2.48, which indicates a somewhat significant risk relative to the market. As returns on the market increase, returns on owning SavvyShort Shopify are expected to decrease by larger amounts. On the other hand, during market turmoil, SavvyShort Shopify is expected to outperform it.
Auto-correlation | -0.66 |
Very good reverse predictability
SavvyShort Shopify ETF has very good reverse predictability. Overlapping area represents the amount of predictability between SavvyShort Shopify time series from 18th of November 2025 to 2nd of January 2026 and 2nd of January 2026 to 16th of February 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 SavvyShort Shopify ETF price movement. The serial correlation of -0.66 indicates that around 66.0% of current SavvyShort Shopify price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.66 | |
| Residual Average | 0.0 | |
| Price Variance | 17.49 |
Pair Trading with SavvyShort Shopify
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 SavvyShort Shopify 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 SavvyShort Shopify will appreciate offsetting losses from the drop in the long position's value.Moving against SavvyShort Etf
The ability to find closely correlated positions to SavvyShort Shopify could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace SavvyShort Shopify 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 SavvyShort Shopify - 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 SavvyShort Shopify ETF to buy it.
The correlation of SavvyShort Shopify 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 SavvyShort Shopify moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if SavvyShort Shopify 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 SavvyShort Shopify 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.