Maple Leaf Foods Stock Market Value
| MLFNF Stock | USD 19.59 0.09 0.46% |
| Symbol | Maple |
Maple Leaf '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 Maple Leaf'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 Maple Leaf.
| 12/05/2025 |
| 03/05/2026 |
If you would invest 0.00 in Maple Leaf on December 5, 2025 and sell it all today you would earn a total of 0.00 from holding Maple Leaf Foods or generate 0.0% return on investment in Maple Leaf over 90 days. Maple Leaf Foods Inc. produces food products in the United States, Canada, Japan, China, and internationally More
Maple Leaf 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 Maple Leaf'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 Maple Leaf Foods upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.6 | |||
| Information Ratio | 0.0757 | |||
| Maximum Drawdown | 6.77 | |||
| Value At Risk | (2.53) | |||
| Potential Upside | 3.12 |
Maple Leaf Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Maple Leaf's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Maple Leaf's standard deviation. In reality, there are many statistical measures that can use Maple Leaf historical prices to predict the future Maple Leaf's volatility.| Risk Adjusted Performance | 0.0845 | |||
| Jensen Alpha | 0.1508 | |||
| Total Risk Alpha | 0.0785 | |||
| Sortino Ratio | 0.0694 | |||
| Treynor Ratio | (0.84) |
Maple Leaf March 5, 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 | 0.0845 | |||
| Market Risk Adjusted Performance | (0.83) | |||
| Mean Deviation | 0.9641 | |||
| Semi Deviation | 1.0 | |||
| Downside Deviation | 1.6 | |||
| Coefficient Of Variation | 944.3 | |||
| Standard Deviation | 1.46 | |||
| Variance | 2.14 | |||
| Information Ratio | 0.0757 | |||
| Jensen Alpha | 0.1508 | |||
| Total Risk Alpha | 0.0785 | |||
| Sortino Ratio | 0.0694 | |||
| Treynor Ratio | (0.84) | |||
| Maximum Drawdown | 6.77 | |||
| Value At Risk | (2.53) | |||
| Potential Upside | 3.12 | |||
| Downside Variance | 2.55 | |||
| Semi Variance | 1.0 | |||
| Expected Short fall | (1.47) | |||
| Skewness | 0.3977 | |||
| Kurtosis | 1.19 |
Maple Leaf Foods Backtested Returns
At this point, Maple Leaf is very steady. Maple Leaf Foods has Sharpe Ratio of 0.11, which conveys that the firm had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Maple Leaf, which you can use to evaluate the volatility of the firm. Please verify Maple Leaf's Mean Deviation of 0.9641, downside deviation of 1.6, and Risk Adjusted Performance of 0.0845 to check out if the risk estimate we provide is consistent with the expected return of 0.15%. Maple Leaf has a performance score of 8 on a scale of 0 to 100. The company secures a Beta (Market Risk) of -0.17, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Maple Leaf are expected to decrease at a much lower rate. During the bear market, Maple Leaf is likely to outperform the market. Maple Leaf Foods right now secures a risk of 1.35%. Please verify Maple Leaf Foods semi variance, and the relationship between the maximum drawdown and accumulation distribution , to decide if Maple Leaf Foods will be following its current price movements.
Auto-correlation | 0.16 |
Very weak predictability
Maple Leaf Foods has very weak predictability. Overlapping area represents the amount of predictability between Maple Leaf time series from 5th of December 2025 to 19th of January 2026 and 19th of January 2026 to 5th of March 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 Maple Leaf Foods price movement. The serial correlation of 0.16 indicates that over 16.0% of current Maple Leaf price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.16 | |
| Spearman Rank Test | 0.16 | |
| Residual Average | 0.0 | |
| Price Variance | 0.45 |
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Other Information on Investing in Maple Pink Sheet
Maple Leaf financial ratios help investors to determine whether Maple 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 Maple with respect to the benefits of owning Maple Leaf security.