Hanover Foods Stock Technical Analysis
| HNFSA Stock | USD 52.00 7.00 15.56% |
As of the 28th of January, Hanover Foods retains the Risk Adjusted Performance of 0.0955, standard deviation of 1.95, and Market Risk Adjusted Performance of 0.6037. Hanover Foods technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the firm's future prices.
Hanover Foods Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Hanover, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HanoverHanover |
Hanover Foods '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 Hanover Foods' 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 Hanover Foods.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in Hanover Foods on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding Hanover Foods or generate 0.0% return on investment in Hanover Foods over 90 days. Hanover Foods is related to or competes with Inter-Rock Minerals, BioForce Nanosciences, China Foods, CIBT Education, Integrated Biopharma, and Elamex SA. Hanover Foods Corporation engages in processing, packaging, and selling fresh canned and frozen products More
Hanover Foods 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 Hanover Foods' 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 Hanover Foods upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0807 | |||
| Maximum Drawdown | 15.56 | |||
| Potential Upside | 0.5904 |
Hanover Foods Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Hanover Foods' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Hanover Foods' standard deviation. In reality, there are many statistical measures that can use Hanover Foods historical prices to predict the future Hanover Foods' volatility.| Risk Adjusted Performance | 0.0955 | |||
| Jensen Alpha | 0.1999 | |||
| Total Risk Alpha | 0.0431 | |||
| Treynor Ratio | 0.5937 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Hanover Foods' 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.
Hanover Foods January 28, 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 | 0.0955 | |||
| Market Risk Adjusted Performance | 0.6037 | |||
| Mean Deviation | 0.5277 | |||
| Coefficient Of Variation | 824.26 | |||
| Standard Deviation | 1.95 | |||
| Variance | 3.79 | |||
| Information Ratio | 0.0807 | |||
| Jensen Alpha | 0.1999 | |||
| Total Risk Alpha | 0.0431 | |||
| Treynor Ratio | 0.5937 | |||
| Maximum Drawdown | 15.56 | |||
| Potential Upside | 0.5904 | |||
| Skewness | 7.69 | |||
| Kurtosis | 61.44 |
Hanover Foods Backtested Returns
Hanover Foods appears to be very steady, given 3 months investment horizon. Hanover Foods holds Efficiency (Sharpe) Ratio of 0.11, which attests that the entity had a 0.11 % return per unit of risk over the last 3 months. We have found twenty-one technical indicators for Hanover Foods, which you can use to evaluate the volatility of the firm. Please utilize Hanover Foods' Standard Deviation of 1.95, market risk adjusted performance of 0.6037, and Risk Adjusted Performance of 0.0955 to validate if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Hanover Foods holds a performance score of 8. The company retains a Market Volatility (i.e., Beta) of 0.38, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, Hanover Foods' returns are expected to increase less than the market. However, during the bear market, the loss of holding Hanover Foods is expected to be smaller as well. Please check Hanover Foods' kurtosis, and the relationship between the total risk alpha and day median price , to make a quick decision on whether Hanover Foods' current trending patterns will revert.
Auto-correlation | -0.3 |
Weak reverse predictability
Hanover Foods has weak reverse predictability. Overlapping area represents the amount of predictability between Hanover Foods time series from 30th of October 2025 to 14th of December 2025 and 14th of December 2025 to 28th of January 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 Hanover Foods price movement. The serial correlation of -0.3 indicates that nearly 30.0% of current Hanover Foods price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.3 | |
| Spearman Rank Test | -0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 6.99 |
Hanover Foods 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.
Hanover Foods Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Hanover Foods across different markets.
About Hanover Foods 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 Hanover 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 Hanover Foods based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Hanover Foods price pattern first instead of the macroeconomic environment surrounding Hanover Foods. By analyzing Hanover Foods'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 Hanover Foods'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 Hanover Foods specific price patterns or momentum indicators. Please read more on our technical analysis page.
Hanover Foods January 28, 2026 Technical Indicators
Most technical analysis of Hanover 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 Hanover from various momentum indicators to cycle indicators. When you analyze Hanover 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 | 0.0955 | |||
| Market Risk Adjusted Performance | 0.6037 | |||
| Mean Deviation | 0.5277 | |||
| Coefficient Of Variation | 824.26 | |||
| Standard Deviation | 1.95 | |||
| Variance | 3.79 | |||
| Information Ratio | 0.0807 | |||
| Jensen Alpha | 0.1999 | |||
| Total Risk Alpha | 0.0431 | |||
| Treynor Ratio | 0.5937 | |||
| Maximum Drawdown | 15.56 | |||
| Potential Upside | 0.5904 | |||
| Skewness | 7.69 | |||
| Kurtosis | 61.44 |
Hanover Foods January 28, 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 Hanover 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 | 0.00 | ||
| Daily Balance Of Power | Huge | ||
| Rate Of Daily Change | 1.16 | ||
| Day Median Price | 52.00 | ||
| Day Typical Price | 52.00 | ||
| Price Action Indicator | 3.50 |
Complementary Tools for Hanover Pink Sheet analysis
When running Hanover Foods' price analysis, check to measure Hanover 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 Hanover Foods is operating at the current time. Most of Hanover Foods' value examination focuses on studying past and present price action to predict the probability of Hanover Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Hanover Foods' price. Additionally, you may evaluate how the addition of Hanover Foods to your portfolios can decrease your overall portfolio volatility.
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