Dynamic Opportunity Fund Market Value
| ICSNX Fund | USD 15.75 0.04 0.25% |
| Symbol | Dynamic |
Dynamic Opportunity '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 Dynamic Opportunity's mutual fund 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 Dynamic Opportunity.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Dynamic Opportunity on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Dynamic Opportunity Fund or generate 0.0% return on investment in Dynamic Opportunity over 30 days. Dynamic Opportunity is related to or competes with Dynamic International, Dynamic International, Acclivity Mid, Acclivity Mid, and Acclivity Small. Under normal market conditions, the fund invests primarily in equity ETFs that offer exposure to domestic equity markets More
Dynamic Opportunity 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 Dynamic Opportunity's mutual fund 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 Dynamic Opportunity Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.6091 | |||
| Information Ratio | (0.06) | |||
| Maximum Drawdown | 2.47 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 0.8447 |
Dynamic Opportunity Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dynamic Opportunity's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dynamic Opportunity's standard deviation. In reality, there are many statistical measures that can use Dynamic Opportunity historical prices to predict the future Dynamic Opportunity's volatility.| Risk Adjusted Performance | 0.0382 | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0296 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Dynamic Opportunity's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Dynamic Opportunity Backtested Returns
We consider Dynamic Opportunity very steady. Dynamic Opportunity secures Sharpe Ratio (or Efficiency) of 0.0369, which denotes the fund had a 0.0369% return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Dynamic Opportunity Fund, which you can use to evaluate the volatility of the entity. Please confirm Dynamic Opportunity's Mean Deviation of 0.4155, coefficient of variation of 1554.31, and Downside Deviation of 0.6091 to check if the risk estimate we provide is consistent with the expected return of 0.0196%. The fund shows a Beta (market volatility) of 0.83, which means possible diversification benefits within a given portfolio. As returns on the market increase, Dynamic Opportunity's returns are expected to increase less than the market. However, during the bear market, the loss of holding Dynamic Opportunity is expected to be smaller as well.
Auto-correlation | 0.30 |
Below average predictability
Dynamic Opportunity Fund has below average predictability. Overlapping area represents the amount of predictability between Dynamic Opportunity time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 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 Dynamic Opportunity price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current Dynamic Opportunity price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.38 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
Dynamic Opportunity lagged returns against current returns
Autocorrelation, which is Dynamic Opportunity mutual fund'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 Dynamic Opportunity's mutual fund expected returns. We can calculate the autocorrelation of Dynamic Opportunity returns to help us make a trade decision. For example, suppose you find that Dynamic Opportunity has exhibited high autocorrelation historically, and you observe that the mutual fund 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 |
Dynamic Opportunity 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 Dynamic Opportunity mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Dynamic Opportunity mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Dynamic Opportunity mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Dynamic Opportunity Lagged Returns
When evaluating Dynamic Opportunity's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Dynamic Opportunity mutual fund have on its future price. Dynamic Opportunity 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, Dynamic Opportunity autocorrelation shows the relationship between Dynamic Opportunity mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Dynamic Opportunity Fund.
Regressed Prices |
| Timeline |
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Dynamic Opportunity technical mutual fund analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, fund market cycles, or different charting patterns.