Ninepoint Shopify Highshares Etf Market Value
| SHHI Etf | 10.44 0.14 1.32% |
| Symbol | Ninepoint |
Ninepoint 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 Ninepoint 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 Ninepoint Shopify.
| 12/20/2025 |
| 01/19/2026 |
If you would invest 0.00 in Ninepoint Shopify on December 20, 2025 and sell it all today you would earn a total of 0.00 from holding Ninepoint Shopify HighShares or generate 0.0% return on investment in Ninepoint Shopify over 30 days.
Ninepoint 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 Ninepoint 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 Ninepoint Shopify HighShares upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 3.33 | |||
| Information Ratio | 0.0045 | |||
| Maximum Drawdown | 14.38 | |||
| Value At Risk | (6.55) | |||
| Potential Upside | 5.47 |
Ninepoint Shopify Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Ninepoint Shopify's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Ninepoint Shopify's standard deviation. In reality, there are many statistical measures that can use Ninepoint Shopify historical prices to predict the future Ninepoint Shopify's volatility.| Risk Adjusted Performance | 0.033 | |||
| Jensen Alpha | (0.13) | |||
| Total Risk Alpha | (0.31) | |||
| Sortino Ratio | 0.0042 | |||
| Treynor Ratio | 0.0407 |
Ninepoint Shopify Backtested Returns
Ninepoint Shopify has Sharpe Ratio of close to zero, which conveys that the entity had a close to zero % return per unit of risk over the last 3 months. Ninepoint Shopify exposes thirty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Ninepoint Shopify's Mean Deviation of 2.31, downside deviation of 3.33, and Risk Adjusted Performance of 0.033 to check out the risk estimate we provide. The etf secures a Beta (Market Risk) of 2.56, which conveys 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, Ninepoint Shopify will likely underperform.
Auto-correlation | -0.24 |
Weak reverse predictability
Ninepoint Shopify HighShares has weak reverse predictability. Overlapping area represents the amount of predictability between Ninepoint Shopify time series from 20th of December 2025 to 4th of January 2026 and 4th of January 2026 to 19th 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 Ninepoint Shopify price movement. The serial correlation of -0.24 indicates that over 24.0% of current Ninepoint Shopify price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.24 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Ninepoint Shopify lagged returns against current returns
Autocorrelation, which is Ninepoint Shopify 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 Ninepoint Shopify's etf expected returns. We can calculate the autocorrelation of Ninepoint Shopify returns to help us make a trade decision. For example, suppose you find that Ninepoint Shopify 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 |
Ninepoint Shopify 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 Ninepoint Shopify etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Ninepoint Shopify etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Ninepoint Shopify etf over time.
Current vs Lagged Prices |
| Timeline |
Ninepoint Shopify Lagged Returns
When evaluating Ninepoint Shopify's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Ninepoint Shopify etf have on its future price. Ninepoint Shopify 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, Ninepoint Shopify autocorrelation shows the relationship between Ninepoint Shopify etf current value and its past values and can show if there is a momentum factor associated with investing in Ninepoint Shopify HighShares.
Regressed Prices |
| Timeline |
Pair Trading with Ninepoint 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 Ninepoint 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 Ninepoint Shopify will appreciate offsetting losses from the drop in the long position's value.Moving together with Ninepoint Etf
Moving against Ninepoint Etf
The ability to find closely correlated positions to Ninepoint 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 Ninepoint 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 Ninepoint 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 Ninepoint Shopify HighShares to buy it.
The correlation of Ninepoint 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 Ninepoint Shopify moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Ninepoint Shopify 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 Ninepoint 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.