Leverage Shares' market value is the price at which a share of Leverage Shares trades on a public exchange. It measures the collective expectations of Leverage Shares 3x investors about its performance. Leverage Shares is selling for under 589.00 as of the 16th of December 2024; that is 1.83 percent down since the beginning of the trading day. The etf's lowest day price was 589.0. With this module, you can estimate the performance of a buy and hold strategy of Leverage Shares 3x and determine expected loss or profit from investing in Leverage Shares over a given investment horizon. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Symbol
Leverage
Leverage Shares '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 Leverage Shares' 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 Leverage Shares.
0.00
11/16/2024
No Change 0.00
0.0
In 30 days
12/16/2024
0.00
If you would invest 0.00 in Leverage Shares on November 16, 2024 and sell it all today you would earn a total of 0.00 from holding Leverage Shares 3x or generate 0.0% return on investment in Leverage Shares over 30 days.
Leverage Shares 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 Leverage Shares' 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 Leverage Shares 3x upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for Leverage Shares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Leverage Shares' standard deviation. In reality, there are many statistical measures that can use Leverage Shares historical prices to predict the future Leverage Shares' volatility.
Leverage Shares is very steady given 3 months investment horizon. Leverage Shares 3x has Sharpe Ratio of 0.28, which conveys that the entity had a 0.28% return per unit of risk over the last 3 months. We are able to interpolate and collect twenty-nine different technical indicators, which can help you to evaluate if expected returns of 3.56% are justified by taking the suggested risk. Use Leverage Shares 3x Downside Deviation of 9.51, mean deviation of 8.5, and Risk Adjusted Performance of 0.2212 to evaluate company specific risk that cannot be diversified away. The etf secures a Beta (Market Risk) of 6.88, 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, Leverage Shares will likely underperform.
Auto-correlation
0.40
Average predictability
Leverage Shares 3x has average predictability. Overlapping area represents the amount of predictability between Leverage Shares time series from 16th of November 2024 to 1st of December 2024 and 1st of December 2024 to 16th of December 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 Leverage Shares 3x price movement. The serial correlation of 0.4 indicates that just about 40.0% of current Leverage Shares price fluctuation can be explain by its past prices.
Correlation Coefficient
0.4
Spearman Rank Test
0.51
Residual Average
0.0
Price Variance
2745.66
Leverage Shares 3x lagged returns against current returns
Autocorrelation, which is Leverage Shares 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 Leverage Shares' etf expected returns. We can calculate the autocorrelation of Leverage Shares returns to help us make a trade decision. For example, suppose you find that Leverage Shares 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
Leverage Shares 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 Leverage Shares etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Leverage Shares etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Leverage Shares etf over time.
Current vs Lagged Prices
Timeline
Leverage Shares Lagged Returns
When evaluating Leverage Shares' market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Leverage Shares etf have on its future price. Leverage Shares 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, Leverage Shares autocorrelation shows the relationship between Leverage Shares etf current value and its past values and can show if there is a momentum factor associated with investing in Leverage Shares 3x.
Regressed Prices
Timeline
Thematic Opportunities
Explore Investment Opportunities
Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.