Motley Fool's market value is the price at which a share of Motley Fool trades on a public exchange. It measures the collective expectations of Motley Fool Innovative investors about its performance. Motley Fool is trading at 20.33 as of the 25th of December 2025. This is a 0.25 percent increase since the beginning of the trading day. The etf's lowest day price was 20.27. With this module, you can estimate the performance of a buy and hold strategy of Motley Fool Innovative and determine expected loss or profit from investing in Motley Fool over a given investment horizon. Check out Correlation Analysis 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 gross domestic product.
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Motley
Motley Fool '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 Motley Fool'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 Motley Fool.
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06/28/2025
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In 5 months and 30 days
12/25/2025
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If you would invest 0.00 in Motley Fool on June 28, 2025 and sell it all today you would earn a total of 0.00 from holding Motley Fool Innovative or generate 0.0% return on investment in Motley Fool over 180 days.
Motley Fool 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 Motley Fool'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 Motley Fool Innovative 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 Motley Fool's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Motley Fool's standard deviation. In reality, there are many statistical measures that can use Motley Fool historical prices to predict the future Motley Fool's volatility.
At this point, Motley Fool is very steady. Motley Fool Innovative has Sharpe Ratio of 0.14, which conveys that the entity had a 0.14 % return per unit of risk over the last 3 months. We have found twenty-three technical indicators for Motley Fool, which you can use to evaluate the volatility of the etf. Please verify Motley Fool's Standard Deviation of 0.8158, mean deviation of 0.5869, and Risk Adjusted Performance of 0.0994 to check out if the risk estimate we provide is consistent with the expected return of 0.11%. The etf secures a Beta (Market Risk) of -0.0159, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Motley Fool are expected to decrease at a much lower rate. During the bear market, Motley Fool is likely to outperform the market.
Auto-correlation
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No correlation between past and present
Motley Fool Innovative has no correlation between past and present. Overlapping area represents the amount of predictability between Motley Fool time series from 28th of June 2025 to 26th of September 2025 and 26th of September 2025 to 25th of December 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 Motley Fool Innovative price movement. The serial correlation of 0.0 indicates that just 0.0% of current Motley Fool price fluctuation can be explain by its past prices.
Correlation Coefficient
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Spearman Rank Test
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Residual Average
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Price Variance
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Motley Fool Innovative lagged returns against current returns
Autocorrelation, which is Motley Fool 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 Motley Fool's etf expected returns. We can calculate the autocorrelation of Motley Fool returns to help us make a trade decision. For example, suppose you find that Motley Fool 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
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Motley Fool 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 Motley Fool etf is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Motley Fool etf is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Motley Fool etf over time.
Current vs Lagged Prices
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Motley Fool Lagged Returns
When evaluating Motley Fool's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Motley Fool etf have on its future price. Motley Fool 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, Motley Fool autocorrelation shows the relationship between Motley Fool etf current value and its past values and can show if there is a momentum factor associated with investing in Motley Fool Innovative.