Quantum Foods (South Africa) Price on February 23, 2024
| QFH Stock | 814.00 36.00 4.24% |
If you're considering investing in Quantum Stock, it is important to understand the factors that can impact its price. As of today, the current price of Quantum Foods stands at 814.00, as last reported on the 23rd of January, with the highest price reaching 814.00 and the lowest price hitting 746.00 during the day. Quantum Foods Holdings maintains Sharpe Ratio (i.e., Efficiency) of -0.0266, which implies the firm had a -0.0266 % return per unit of risk over the last 3 months. Quantum Foods Holdings exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check Quantum Foods' Risk Adjusted Performance of (0.06), variance of 52.16, and Coefficient Of Variation of (1,200) to confirm the risk estimate we provide.
Quantum Stock price history is provided at the adjusted basis, taking into account all of the recent filings.
Quantum |
Sharpe Ratio = -0.0266
| Best Portfolio | Best Equity | |||
| Good Returns | ||||
| Average Returns | ||||
| Small Returns | ||||
| Cash | Small Risk | Average Risk | High Risk | Huge Risk |
| Negative Returns | QFH |
Estimated Market Risk
| 6.86 actual daily | 61 61% of assets are less volatile |
Expected Return
| -0.18 actual daily | 0 Most of other assets have higher returns |
Risk-Adjusted Return
| -0.03 actual daily | 0 Most of other assets perform better |
Based on monthly moving average Quantum Foods is not performing at its full potential. However, if added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Quantum Foods by adding Quantum Foods to a well-diversified portfolio.
Quantum Foods Valuation on February 23, 2024
It is possible to determine the worth of Quantum Foods on a given historical date. On February 23, 2024 Quantum was worth 450.0 at the beginning of the trading date compared to the closed value of 450.0. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Quantum Foods stock. Still, in general, we apply an absolute valuation method to find Quantum Foods' value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Quantum Foods where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Quantum Foods' related companies.
| Open | High | Low | Close | Volume | |
| 450.00 | 450.00 | 450.00 | 450.00 | 113.00 | |
02/23/2024 | 450.00 | 450.00 | 450.00 | 450.00 | 1,548 |
| 469.00 | 469.00 | 464.00 | 464.00 | 10,712 |
| Backtest Quantum Foods | | | Quantum Foods History | | | Quantum Foods Valuation | Previous | Next |
Quantum Foods Trading Date Momentum on February 23, 2024
| On February 26 2024 Quantum Foods Holdings was traded for 464.00 at the closing time. The highest price during the trading period was 469.00 and the lowest recorded bid was listed for 464.00 . The volume for the day was 10.7 K. This history from February 26, 2024 contributed to the next trading day price growth. The trading delta at closing time to the next closing price was 3.11% . The trading delta at closing time to the current price is 5.78% . |
Quantum Foods Holdings Fundamentals Correlations and Trends
By evaluating Quantum Foods' financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Quantum Foods' main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Quantum financial account trend analysis is a perfect complement when working with valuation or volatility modules.About Quantum Foods Stock history
Quantum Foods investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Quantum is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Quantum Foods Holdings will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Quantum Foods stock prices may prove useful in developing a viable investing in Quantum Foods
Quantum Foods Stock Technical Analysis
Quantum Foods 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.
Price Boundaries
Quantum Foods Period Price Range
Low | January 23, 2025
| High |
0.00 | 0.00 |
Quantum Foods Holdings cannot be verified against its exchange. Please verify the symbol is currently traded on Johannesburg Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.
Quantum Foods January 23, 2025 Market Strength
Market strength indicators help investors to evaluate how Quantum Foods stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Quantum Foods shares will generate the highest return on investment. By undertsting and applying Quantum Foods stock market strength indicators, traders can identify Quantum Foods Holdings entry and exit signals to maximize returns
Quantum Foods Technical and Predictive Indicators
Predictive indicators are helping investors to find signals for Quantum Foods' price direction in advance. Along with the technical and fundamental analysis of Quantum Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Quantum to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.
| Risk Adjusted Performance | (0.06) | |||
| Jensen Alpha | (0.63) | |||
| Total Risk Alpha | (0.83) | |||
| Treynor Ratio | (0.74) |
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Complementary Tools for Quantum Stock analysis
When running Quantum Foods' price analysis, check to measure Quantum Foods' 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 Foods is operating at the current time. Most of Quantum Foods' value examination focuses on studying past and present price action to predict the probability of Quantum Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Quantum Foods' price. Additionally, you may evaluate how the addition of Quantum Foods to your portfolios can decrease your overall portfolio volatility.
| Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios |