Q3 All Season Systematic Fund Market Value
| QCSOX Fund | 10.08 0.01 0.1% |
| Symbol | QCSOX |
Q3 All-season '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 Q3 All-season'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 Q3 All-season.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Q3 All-season on November 17, 2025 and sell it all today you would earn a total of 0.00 from holding Q3 All Season Systematic or generate 0.0% return on investment in Q3 All-season over 90 days. Q3 All-season is related to or competes with Morningstar Municipal, Intermediate-term, Old Westbury, California High-yield, Pace Municipal, Nuveen Minnesota, and Nebraska Municipal. Under normal circumstances, the fund invests primarily in a combination of futures contracts on the SP 500 or NASDAQ , a... More
Q3 All-season 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 Q3 All-season'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 Q3 All Season Systematic upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9368 | |||
| Information Ratio | 0.0953 | |||
| Maximum Drawdown | 17.01 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 1.41 |
Q3 All-season Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Q3 All-season's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Q3 All-season's standard deviation. In reality, there are many statistical measures that can use Q3 All-season historical prices to predict the future Q3 All-season's volatility.| Risk Adjusted Performance | 0.1111 | |||
| Jensen Alpha | 0.2168 | |||
| Total Risk Alpha | 0.1021 | |||
| Sortino Ratio | 0.2038 | |||
| Treynor Ratio | 0.4417 |
Q3 All-season February 15, 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 | 0.1111 | |||
| Market Risk Adjusted Performance | 0.4517 | |||
| Mean Deviation | 0.7475 | |||
| Semi Deviation | 0.2501 | |||
| Downside Deviation | 0.9368 | |||
| Coefficient Of Variation | 767.76 | |||
| Standard Deviation | 2.0 | |||
| Variance | 4.01 | |||
| Information Ratio | 0.0953 | |||
| Jensen Alpha | 0.2168 | |||
| Total Risk Alpha | 0.1021 | |||
| Sortino Ratio | 0.2038 | |||
| Treynor Ratio | 0.4417 | |||
| Maximum Drawdown | 17.01 | |||
| Value At Risk | (1.38) | |||
| Potential Upside | 1.41 | |||
| Downside Variance | 0.8776 | |||
| Semi Variance | 0.0625 | |||
| Expected Short fall | (1.13) | |||
| Skewness | 6.61 | |||
| Kurtosis | 49.94 |
Q3 All Season Backtested Returns
Q3 All-season appears to be not too volatile, given 3 months investment horizon. Q3 All Season retains Efficiency (Sharpe Ratio) of 0.14, which implies the fund had a 0.14 % return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for Q3 All-season, which you can use to evaluate the volatility of the entity. Please evaluate Q3 All-season's market risk adjusted performance of 0.4517, and Standard Deviation of 2.0 to confirm if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of 0.57, which implies possible diversification benefits within a given portfolio. As returns on the market increase, Q3 All-season's returns are expected to increase less than the market. However, during the bear market, the loss of holding Q3 All-season is expected to be smaller as well.
Auto-correlation | 0.24 |
Weak predictability
Q3 All Season Systematic has weak predictability. Overlapping area represents the amount of predictability between Q3 All-season time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th of February 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 Q3 All Season price movement. The serial correlation of 0.24 indicates that over 24.0% of current Q3 All-season price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.24 | |
| Spearman Rank Test | 0.47 | |
| Residual Average | 0.0 | |
| Price Variance | 0.01 |
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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 QCSOX Mutual Fund
Q3 All-season financial ratios help investors to determine whether QCSOX 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 QCSOX with respect to the benefits of owning Q3 All-season security.
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