Maple Leaf Foods Stock Market Value
| MLFNF Stock | USD 19.92 0.40 2.05% |
| 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.
| 11/12/2025 |
| 02/10/2026 |
If you would invest 0.00 in Maple Leaf on November 12, 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 is related to or competes with Calbee, Premier Foods, Suedzucker, Leroy Seafood, and Nippon Suisan. 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 | 2.12 | |||
| Information Ratio | 0.0016 | |||
| Maximum Drawdown | 6.99 | |||
| Value At Risk | (3.13) | |||
| Potential Upside | 3.14 |
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 | 0.0499 | |||
| Jensen Alpha | 0.0769 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0013 | |||
| Treynor Ratio | 0.5653 |
Maple Leaf February 10, 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 | 0.0499 | |||
| Market Risk Adjusted Performance | 0.5753 | |||
| Mean Deviation | 1.26 | |||
| Semi Deviation | 1.5 | |||
| Downside Deviation | 2.12 | |||
| Coefficient Of Variation | 1811.99 | |||
| Standard Deviation | 1.83 | |||
| Variance | 3.36 | |||
| Information Ratio | 0.0016 | |||
| Jensen Alpha | 0.0769 | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | 0.0013 | |||
| Treynor Ratio | 0.5653 | |||
| Maximum Drawdown | 6.99 | |||
| Value At Risk | (3.13) | |||
| Potential Upside | 3.14 | |||
| Downside Variance | 4.47 | |||
| Semi Variance | 2.24 | |||
| Expected Short fall | (1.69) | |||
| Skewness | (0.03) | |||
| Kurtosis | 0.3301 |
Maple Leaf Foods Backtested Returns
Maple Leaf appears to be very steady, given 3 months investment horizon. Maple Leaf Foods has Sharpe Ratio of 0.18, which conveys that the firm had a 0.18 % 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 exercise Maple Leaf's Mean Deviation of 1.26, downside deviation of 2.12, and Risk Adjusted Performance of 0.0499 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Maple Leaf holds a performance score of 14. The company secures a Beta (Market Risk) of 0.16, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Maple Leaf's returns are expected to increase less than the market. However, during the bear market, the loss of holding Maple Leaf is expected to be smaller as well. Please check Maple Leaf's semi variance, and the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Maple Leaf's current price movements will revert.
Auto-correlation | 0.65 |
Good predictability
Maple Leaf Foods has good predictability. Overlapping area represents the amount of predictability between Maple Leaf time series from 12th of November 2025 to 27th of December 2025 and 27th of December 2025 to 10th 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 Maple Leaf Foods price movement. The serial correlation of 0.65 indicates that roughly 65.0% of current Maple Leaf price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.65 | |
| Spearman Rank Test | 0.83 | |
| Residual Average | 0.0 | |
| Price Variance | 0.38 |
Currently Active Assets on Macroaxis
| FSLY | Fastly Class A | |
| MOB | Mobilicom Limited American | |
| CMG | Chipotle Mexican Grill | |
| CSAN | Cosan SA ADR | |
| RKT | Rocket Companies |
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.