Maple Leaf Foods Stock Technical Analysis
| MLFNF Stock | USD 20.32 0.20 0.99% |
As of the 15th of February 2026, Maple Leaf secures the Risk Adjusted Performance of 0.1538, mean deviation of 1.2, and Downside Deviation of 1.86. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Maple Leaf Foods, as well as the relationship between them. Please verify Maple Leaf Foods variance, maximum drawdown, as well as the relationship between the Maximum Drawdown and semi variance to decide if Maple Leaf Foods is priced some-what accurately, providing market reflects its recent price of 20.32 per share. Given that Maple Leaf Foods has jensen alpha of 0.3059, we recommend you to check Maple Leaf's last-minute market performance to make sure the company can sustain itself at a future point.
Maple Leaf Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Maple, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MapleMaple |
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.
| 11/17/2025 |
| 02/15/2026 |
If you would invest 0.00 in Maple Leaf on November 17, 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 | 1.86 | |||
| Information Ratio | 0.1424 | |||
| Maximum Drawdown | 6.99 | |||
| Value At Risk | (2.62) | |||
| 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 | 0.1538 | |||
| Jensen Alpha | 0.3059 | |||
| Total Risk Alpha | 0.1742 | |||
| Sortino Ratio | 0.1282 | |||
| Treynor Ratio | (2.53) |
Maple Leaf February 15, 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 | 0.1538 | |||
| Market Risk Adjusted Performance | (2.52) | |||
| Mean Deviation | 1.2 | |||
| Semi Deviation | 1.07 | |||
| Downside Deviation | 1.86 | |||
| Coefficient Of Variation | 543.11 | |||
| Standard Deviation | 1.68 | |||
| Variance | 2.81 | |||
| Information Ratio | 0.1424 | |||
| Jensen Alpha | 0.3059 | |||
| Total Risk Alpha | 0.1742 | |||
| Sortino Ratio | 0.1282 | |||
| Treynor Ratio | (2.53) | |||
| Maximum Drawdown | 6.99 | |||
| Value At Risk | (2.62) | |||
| Potential Upside | 3.14 | |||
| Downside Variance | 3.47 | |||
| Semi Variance | 1.14 | |||
| Expected Short fall | (1.63) | |||
| Skewness | 0.1174 | |||
| Kurtosis | 0.3695 |
Maple Leaf Foods Backtested Returns
Maple Leaf appears to be very steady, given 3 months investment horizon. Maple Leaf Foods has Sharpe Ratio of 0.2, which conveys that the firm had a 0.2 % 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 Downside Deviation of 1.86, risk adjusted performance of 0.1538, and Mean Deviation of 1.2 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 15. The company secures a Beta (Market Risk) of -0.12, 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. 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 | 0.55 |
Modest predictability
Maple Leaf Foods has modest predictability. Overlapping area represents the amount of predictability between Maple Leaf time series from 17th of November 2025 to 1st of January 2026 and 1st of January 2026 to 15th 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 0.55 indicates that about 55.0% of current Maple Leaf price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | 0.68 | |
| Residual Average | 0.0 | |
| Price Variance | 0.58 |
Maple Leaf technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Maple Leaf Foods Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Maple Leaf Foods across different markets.
About Maple Leaf Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Maple Leaf Foods on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Maple Leaf Foods based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Maple Leaf Foods price pattern first instead of the macroeconomic environment surrounding Maple Leaf Foods. By analyzing Maple Leaf's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Maple Leaf's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Maple Leaf specific price patterns or momentum indicators. Please read more on our technical analysis page.
Maple Leaf February 15, 2026 Technical Indicators
Most technical analysis of Maple help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Maple from various momentum indicators to cycle indicators. When you analyze Maple charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1538 | |||
| Market Risk Adjusted Performance | (2.52) | |||
| Mean Deviation | 1.2 | |||
| Semi Deviation | 1.07 | |||
| Downside Deviation | 1.86 | |||
| Coefficient Of Variation | 543.11 | |||
| Standard Deviation | 1.68 | |||
| Variance | 2.81 | |||
| Information Ratio | 0.1424 | |||
| Jensen Alpha | 0.3059 | |||
| Total Risk Alpha | 0.1742 | |||
| Sortino Ratio | 0.1282 | |||
| Treynor Ratio | (2.53) | |||
| Maximum Drawdown | 6.99 | |||
| Value At Risk | (2.62) | |||
| Potential Upside | 3.14 | |||
| Downside Variance | 3.47 | |||
| Semi Variance | 1.14 | |||
| Expected Short fall | (1.63) | |||
| Skewness | 0.1174 | |||
| Kurtosis | 0.3695 |
Maple Leaf February 15, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Maple stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.01 | ||
| Daily Balance Of Power | 1.67 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 20.38 | ||
| Day Typical Price | 20.36 | ||
| Price Action Indicator | 0.04 | ||
| Market Facilitation Index | 0.12 |
Complementary Tools for Maple Pink Sheet analysis
When running Maple Leaf's price analysis, check to measure Maple Leaf'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 Maple Leaf is operating at the current time. Most of Maple Leaf's value examination focuses on studying past and present price action to predict the probability of Maple Leaf's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Maple Leaf's price. Additionally, you may evaluate how the addition of Maple Leaf to your portfolios can decrease your overall portfolio volatility.
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