Qmc Quantum Minerals Stock Market Value
QMCQF Stock | USD 0.04 0 4.12% |
Symbol | QMC |
QMC Quantum '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 QMC Quantum'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 QMC Quantum.
10/28/2024 |
| 11/27/2024 |
If you would invest 0.00 in QMC Quantum on October 28, 2024 and sell it all today you would earn a total of 0.00 from holding QMC Quantum Minerals or generate 0.0% return on investment in QMC Quantum over 30 days. QMC Quantum is related to or competes with Ameriwest Lithium, and Osisko Metals. QMC Quantum Minerals Corp., an exploration stage company, engages in the acquisition, evaluation, exploration, and devel... More
QMC Quantum 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 QMC Quantum'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 QMC Quantum Minerals upside and downside potential and time the market with a certain degree of confidence.
Information Ratio | (0.06) | |||
Maximum Drawdown | 30.18 | |||
Value At Risk | (12.40) | |||
Potential Upside | 14.29 |
QMC Quantum Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for QMC Quantum's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as QMC Quantum's standard deviation. In reality, there are many statistical measures that can use QMC Quantum historical prices to predict the future QMC Quantum's volatility.Risk Adjusted Performance | (0.02) | |||
Jensen Alpha | (0.30) | |||
Total Risk Alpha | (1.50) | |||
Treynor Ratio | 2.72 |
QMC Quantum Minerals Backtested Returns
QMC Quantum Minerals retains Efficiency (Sharpe Ratio) of -0.0535, which implies the firm had a -0.0535% return per unit of risk over the last 3 months. QMC Quantum exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check QMC Quantum's coefficient of variation of (2,482), and Market Risk Adjusted Performance of 2.73 to confirm the risk estimate we provide. The company owns a Beta (Systematic Risk) of -0.12, which implies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning QMC Quantum are expected to decrease at a much lower rate. During the bear market, QMC Quantum is likely to outperform the market. At this point, QMC Quantum Minerals has a negative expected return of -0.4%. Please make sure to check QMC Quantum's total risk alpha and the relationship between the potential upside and market facilitation index , to decide if QMC Quantum Minerals performance from the past will be repeated at future time.
Auto-correlation | 0.01 |
Virtually no predictability
QMC Quantum Minerals has virtually no predictability. Overlapping area represents the amount of predictability between QMC Quantum time series from 28th of October 2024 to 12th of November 2024 and 12th of November 2024 to 27th 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 QMC Quantum Minerals price movement. The serial correlation of 0.01 indicates that just 1.0% of current QMC Quantum price fluctuation can be explain by its past prices.
Correlation Coefficient | 0.01 | |
Spearman Rank Test | -0.17 | |
Residual Average | 0.0 | |
Price Variance | 0.0 |
QMC Quantum Minerals lagged returns against current returns
Autocorrelation, which is QMC Quantum pink sheet'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 QMC Quantum's pink sheet expected returns. We can calculate the autocorrelation of QMC Quantum returns to help us make a trade decision. For example, suppose you find that QMC Quantum has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
QMC Quantum 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 QMC Quantum pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if QMC Quantum pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in QMC Quantum pink sheet over time.
Current vs Lagged Prices |
Timeline |
QMC Quantum Lagged Returns
When evaluating QMC Quantum's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of QMC Quantum pink sheet have on its future price. QMC Quantum 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, QMC Quantum autocorrelation shows the relationship between QMC Quantum pink sheet current value and its past values and can show if there is a momentum factor associated with investing in QMC Quantum Minerals.
Regressed Prices |
Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in QMC Pink Sheet
QMC Quantum financial ratios help investors to determine whether QMC Pink Sheet 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 QMC with respect to the benefits of owning QMC Quantum security.