Quantum Battery Metals Stock Market Value
| BRVVF Stock | USD 0.09 0.01 7.00% |
| Symbol | Quantum |
Quantum Battery Metals Price To Book Ratio
Is Quantum Battery's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Quantum Battery. If investors know Quantum will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Quantum Battery listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 2.064 | Earnings Share (0.01) | Return On Assets (0.17) | Return On Equity (0.57) |
The market value of Quantum Battery Metals is measured differently than its book value, which is the value of Quantum that is recorded on the company's balance sheet. Investors also form their own opinion of Quantum Battery's value that differs from its market value or its book value, called intrinsic value, which is Quantum Battery's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Quantum Battery's market value can be influenced by many factors that don't directly affect Quantum Battery's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Quantum Battery's value and its price as these two are different measures arrived at by different means. Investors typically determine if Quantum Battery is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Quantum Battery's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
Quantum Battery '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 Quantum Battery's stock 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 Quantum Battery.
| 05/09/2023 |
| 05/03/2024 |
If you would invest 0.00 in Quantum Battery on May 9, 2023 and sell it all today you would earn a total of 0.00 from holding Quantum Battery Metals or generate 0.0% return on investment in Quantum Battery over 360 days. Quantum Battery is related to or competes with Kodiak Copper, Endeavour Silver, McEwen Mining, SilverCrest Metals, Avino Silver, and Compania. Quantum Battery Metals Corp. engages in identifying, exploring, and developing mineral properties More
Quantum Battery 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 Quantum Battery's stock 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 Quantum Battery Metals upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.16) | |||
| Maximum Drawdown | 15.45 |
Quantum Battery Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Quantum Battery's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Quantum Battery's standard deviation. In reality, there are many statistical measures that can use Quantum Battery historical prices to predict the future Quantum Battery's volatility.| Risk Adjusted Performance | (0.08) | |||
| Jensen Alpha | (0.32) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | 0.4206 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Quantum Battery's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Quantum Battery Metals Backtested Returns
Quantum Battery Metals maintains Sharpe Ratio (i.e., Efficiency) of -0.14, which implies the firm had a -0.14% return per unit of risk over the last 3 months. Quantum Battery Metals exposes twenty different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quantum Battery's Risk Adjusted Performance of (0.08), coefficient of variation of (708.90), and Variance of 6.24 to confirm the risk estimate we provide. The company holds a Beta of -0.86, which implies possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Quantum Battery are expected to decrease slowly. On the other hand, during market turmoil, Quantum Battery is expected to outperform it slightly. Quantum Battery Metals has an expected return of -0.37%. Please make sure to check Quantum Battery Metals variance, as well as the relationship between the kurtosis and price action indicator , to decide if Quantum Battery Metals performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.60 |
Good predictability
Quantum Battery Metals has good predictability. Overlapping area represents the amount of predictability between Quantum Battery time series from 9th of May 2023 to 5th of November 2023 and 5th of November 2023 to 3rd of May 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 Quantum Battery Metals price movement. The serial correlation of 0.6 indicates that roughly 60.0% of current Quantum Battery price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.6 | |
| Spearman Rank Test | 0.69 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Quantum Battery Metals lagged returns against current returns
Autocorrelation, which is Quantum Battery stock'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 Quantum Battery's stock expected returns. We can calculate the autocorrelation of Quantum Battery returns to help us make a trade decision. For example, suppose you find that Quantum Battery has exhibited high autocorrelation historically, and you observe that the stock 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 |
Quantum Battery 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 Quantum Battery stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Quantum Battery stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Quantum Battery stock over time.
Current vs Lagged Prices |
| Timeline |
Quantum Battery Lagged Returns
When evaluating Quantum Battery's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Quantum Battery stock have on its future price. Quantum Battery 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, Quantum Battery autocorrelation shows the relationship between Quantum Battery stock current value and its past values and can show if there is a momentum factor associated with investing in Quantum Battery Metals.
Regressed Prices |
| Timeline |
Pair Trading with Quantum Battery
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Quantum Battery position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Quantum Battery will appreciate offsetting losses from the drop in the long position's value.Moving against Quantum Stock
| 0.75 | EMX | EMX Royalty Corp Financial Report 20th of May 2024 | PairCorr |
| 0.73 | LZM | Lifezone Metals | PairCorr |
| 0.66 | SKE | Skeena Resources Financial Report 9th of May 2024 | PairCorr |
| 0.64 | NAK | Northern Dynasty Minerals Financial Report 10th of May 2024 | PairCorr |
| 0.62 | FURY | Fury Gold Mines Financial Report 9th of May 2024 | PairCorr |
The ability to find closely correlated positions to Quantum Battery could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Quantum Battery when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Quantum Battery - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Quantum Battery Metals to buy it.
The correlation of Quantum Battery is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Quantum Battery moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Quantum Battery Metals moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Quantum Battery can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Quantum Battery Correlation, Quantum Battery Volatility and Quantum Battery Alpha and Beta module to complement your research on Quantum Battery. You can also try the Balance Of Power module to check stock momentum by analyzing Balance Of Power indicator and other technical ratios.
Complementary Tools for Quantum Stock analysis
When running Quantum Battery's price analysis, check to measure Quantum Battery's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Quantum Battery is operating at the current time. Most of Quantum Battery's value examination focuses on studying past and present price action to predict the probability of Quantum Battery's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Battery's price. Additionally, you may evaluate how the addition of Quantum Battery to your portfolios can decrease your overall portfolio volatility.
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Quantum Battery technical stock 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, stock market cycles, or different charting patterns.