Qqcmf Stock Market Value
| QQCMF Stock | 0.13 0.01 8.33% |
| Symbol | QQCMF |
QQCMF '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 QQCMF's pink sheet 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 QQCMF.
| 11/22/2025 |
| 02/20/2026 |
If you would invest 0.00 in QQCMF on November 22, 2025 and sell it all today you would earn a total of 0.00 from holding QQCMF or generate 0.0% return on investment in QQCMF over 90 days.
QQCMF 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 QQCMF's pink sheet 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 QQCMF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.41 | |||
| Information Ratio | 0.0893 | |||
| Maximum Drawdown | 51.8 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 20.0 |
QQCMF Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for QQCMF's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as QQCMF's standard deviation. In reality, there are many statistical measures that can use QQCMF historical prices to predict the future QQCMF's volatility.| Risk Adjusted Performance | 0.0826 | |||
| Jensen Alpha | 0.7352 | |||
| Total Risk Alpha | 0.2452 | |||
| Sortino Ratio | 0.1047 | |||
| Treynor Ratio | 0.251 |
QQCMF February 20, 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 | 0.0826 | |||
| Market Risk Adjusted Performance | 0.261 | |||
| Mean Deviation | 6.72 | |||
| Semi Deviation | 6.84 | |||
| Downside Deviation | 8.41 | |||
| Coefficient Of Variation | 1044.2 | |||
| Standard Deviation | 9.86 | |||
| Variance | 97.3 | |||
| Information Ratio | 0.0893 | |||
| Jensen Alpha | 0.7352 | |||
| Total Risk Alpha | 0.2452 | |||
| Sortino Ratio | 0.1047 | |||
| Treynor Ratio | 0.251 | |||
| Maximum Drawdown | 51.8 | |||
| Value At Risk | (12.50) | |||
| Potential Upside | 20.0 | |||
| Downside Variance | 70.79 | |||
| Semi Variance | 46.84 | |||
| Expected Short fall | (8.82) | |||
| Skewness | 1.15 | |||
| Kurtosis | 2.34 |
QQCMF Backtested Returns
QQCMF is out of control given 3 months investment horizon. QQCMF retains Efficiency (Sharpe Ratio) of 0.12, which implies the firm had a 0.12 % return per unit of risk over the last 3 months. We have collected data for thirty different technical indicators, which can help you to evaluate if expected returns of 1.21% are justified by taking the suggested risk. Use QQCMF market risk adjusted performance of 0.261, and Semi Deviation of 6.84 to evaluate company specific risk that cannot be diversified away. QQCMF holds a performance score of 9 on a scale of zero to a hundred. The company owns a Beta (Systematic Risk) of 3.72, which implies a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, QQCMF will likely underperform. Use QQCMF downside variance, day median price, and the relationship between the treynor ratio and kurtosis , to analyze future returns on QQCMF.
Auto-correlation | 0.00 |
No correlation between past and present
QQCMF has no correlation between past and present. Overlapping area represents the amount of predictability between QQCMF time series from 22nd of November 2025 to 6th of January 2026 and 6th of January 2026 to 20th 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 QQCMF price movement. The serial correlation of 0.0 indicates that just 0.0% of current QQCMF price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |