Quantified Pattern Recognition Fund Technical Analysis
| QSPMX Fund | USD 15.07 0.02 0.13% |
As of the 31st of January, Quantified Pattern holds the Risk Adjusted Performance of 0.1427, coefficient of variation of 514.95, and Semi Deviation of 0.7699. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Quantified Pattern, as well as the relationship between them.
Quantified Pattern Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Quantified, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to QuantifiedQuantified |
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.
| 11/02/2025 |
| 01/31/2026 |
If you would invest 0.00 in Quantified Pattern on November 2, 2025 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 90 days. Quantified Pattern is related to or competes with Gold Portfolio, International Investors, The Gold, Precious Metals, Great-west Goldman, and First Eagle. 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 | 1.16 | |||
| Information Ratio | 0.146 | |||
| Maximum Drawdown | 5.77 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 1.45 |
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 | 0.1427 | |||
| Jensen Alpha | 0.1446 | |||
| Total Risk Alpha | 0.1261 | |||
| Sortino Ratio | 0.1171 | |||
| Treynor Ratio | 0.2249 |
Quantified Pattern January 31, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1427 | |||
| Market Risk Adjusted Performance | 0.2349 | |||
| Mean Deviation | 0.6074 | |||
| Semi Deviation | 0.7699 | |||
| Downside Deviation | 1.16 | |||
| Coefficient Of Variation | 514.95 | |||
| Standard Deviation | 0.933 | |||
| Variance | 0.8705 | |||
| Information Ratio | 0.146 | |||
| Jensen Alpha | 0.1446 | |||
| Total Risk Alpha | 0.1261 | |||
| Sortino Ratio | 0.1171 | |||
| Treynor Ratio | 0.2249 | |||
| Maximum Drawdown | 5.77 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 1.45 | |||
| Downside Variance | 1.35 | |||
| Semi Variance | 0.5928 | |||
| Expected Short fall | (0.74) | |||
| Skewness | (1.34) | |||
| Kurtosis | 5.51 |
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 0.19, which implies the entity had a 0.19 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Quantified Pattern, which you can use to evaluate the volatility of the fund. Please check Quantified Pattern's Coefficient Of Variation of 514.95, risk adjusted performance of 0.1427, and Semi Deviation of 0.7699 to confirm if the risk estimate we provide is consistent with the expected return of 0.18%. The fund holds a Beta of 0.76, which implies possible diversification benefits within a given portfolio. 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 | 0.41 |
Average predictability
Quantified Pattern Recognition has average predictability. Overlapping area represents the amount of predictability between Quantified Pattern time series from 2nd of November 2025 to 17th of December 2025 and 17th of December 2025 to 31st 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 Quantified Pattern price movement. The serial correlation of 0.41 indicates that just about 41.0% of current Quantified Pattern price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.08 |
Quantified Pattern 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.
Quantified Pattern Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Quantified Pattern volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Quantified Pattern Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Quantified Pattern Recognition on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Quantified Pattern Recognition based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Quantified Pattern price pattern first instead of the macroeconomic environment surrounding Quantified Pattern. By analyzing Quantified Pattern's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Quantified Pattern's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Quantified Pattern specific price patterns or momentum indicators. Please read more on our technical analysis page.
Quantified Pattern January 31, 2026 Technical Indicators
Most technical analysis of Quantified help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Quantified from various momentum indicators to cycle indicators. When you analyze Quantified charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1427 | |||
| Market Risk Adjusted Performance | 0.2349 | |||
| Mean Deviation | 0.6074 | |||
| Semi Deviation | 0.7699 | |||
| Downside Deviation | 1.16 | |||
| Coefficient Of Variation | 514.95 | |||
| Standard Deviation | 0.933 | |||
| Variance | 0.8705 | |||
| Information Ratio | 0.146 | |||
| Jensen Alpha | 0.1446 | |||
| Total Risk Alpha | 0.1261 | |||
| Sortino Ratio | 0.1171 | |||
| Treynor Ratio | 0.2249 | |||
| Maximum Drawdown | 5.77 | |||
| Value At Risk | (0.86) | |||
| Potential Upside | 1.45 | |||
| Downside Variance | 1.35 | |||
| Semi Variance | 0.5928 | |||
| Expected Short fall | (0.74) | |||
| Skewness | (1.34) | |||
| Kurtosis | 5.51 |
Quantified Pattern January 31, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Quantified stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 15.07 | ||
| Day Typical Price | 15.07 | ||
| Price Action Indicator | (0.01) |
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.
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