Quantified Pattern Recognition Fund Market Value
| QSPMX Fund | USD 12.62 0.02 0.16% |
| Symbol | Quantified |
Quantified Pattern '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 Quantified Pattern'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 Quantified Pattern.
| 09/29/2024 |
| 11/28/2024 |
If you would invest 0.00 in Quantified Pattern on September 29, 2024 and sell it all today you would earn a total of 0.00 from holding Quantified Pattern Recognition or generate 0.0% return on investment in Quantified Pattern over 60 days. Quantified Pattern is related to or competes with Small-midcap Dividend, Baird Small/mid, Kinetics Small, Qs Us, Gmo Small, The Hartford, and Champlain Small. The fund primarily invests in equity index mutual funds, unaffiliated equity index exchange traded funds , futures contr... More
Quantified Pattern 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 Quantified Pattern'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 Quantified Pattern Recognition upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.3496 | |||
| Information Ratio | 0.0796 | |||
| Maximum Drawdown | 2.37 | |||
| Value At Risk | (0.42) | |||
| Potential Upside | 1.14 |
Quantified Pattern Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantified Pattern's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantified Pattern's standard deviation. In reality, there are many statistical measures that can use Quantified Pattern historical prices to predict the future Quantified Pattern's volatility.| Risk Adjusted Performance | 0.2568 | |||
| Jensen Alpha | 0.1227 | |||
| Total Risk Alpha | 0.0816 | |||
| Sortino Ratio | 0.1084 | |||
| Treynor Ratio | 0.578 |
Quantified Pattern Backtested Returns
At this stage we consider Quantified Mutual Fund to be very steady. Quantified Pattern maintains Sharpe Ratio (i.e., Efficiency) of 0.36, which implies the entity had a 0.36% return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Quantified Pattern, which you can use to evaluate the volatility of the fund. Please check Quantified Pattern's Risk Adjusted Performance of 0.2568, downside deviation of 0.3496, and Standard Deviation of 0.4759 to confirm if the risk estimate we provide is consistent with the expected return of 0.17%. The fund holds a Beta of 0.27, which implies not very significant fluctuations relative to the market. As returns on the market increase, Quantified Pattern's returns are expected to increase less than the market. However, during the bear market, the loss of holding Quantified Pattern is expected to be smaller as well.
Auto-correlation | 0.11 |
Insignificant predictability
Quantified Pattern Recognition has insignificant predictability. Overlapping area represents the amount of predictability between Quantified Pattern time series from 29th of September 2024 to 29th of October 2024 and 29th of October 2024 to 28th of November 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 Quantified Pattern price movement. The serial correlation of 0.11 indicates that less than 11.0% of current Quantified Pattern price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.11 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.06 |
Quantified Pattern lagged returns against current returns
Autocorrelation, which is Quantified Pattern 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 Quantified Pattern's mutual fund expected returns. We can calculate the autocorrelation of Quantified Pattern returns to help us make a trade decision. For example, suppose you find that Quantified Pattern 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 |
Quantified Pattern 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 Quantified Pattern mutual fund is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quantified Pattern mutual fund is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quantified Pattern mutual fund over time.
Current vs Lagged Prices |
| Timeline |
Quantified Pattern Lagged Returns
When evaluating Quantified Pattern's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quantified Pattern mutual fund have on its future price. Quantified Pattern 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, Quantified Pattern autocorrelation shows the relationship between Quantified Pattern mutual fund current value and its past values and can show if there is a momentum factor associated with investing in Quantified Pattern Recognition.
Regressed Prices |
| Timeline |
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.Other Information on Investing in Quantified Mutual Fund
Quantified Pattern financial ratios help investors to determine whether Quantified Mutual Fund is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Quantified with respect to the benefits of owning Quantified Pattern security.
| ETFs Find actively traded Exchange Traded Funds (ETF) from around the world | |
| Portfolio Holdings Check your current holdings and cash postion to detemine if your portfolio needs rebalancing |