Feel Foods Stock Technical Analysis
| FLLLF Stock | USD 0.02 0.00 0.00% |
As of the 17th of February 2026, Feel Foods shows the Variance of 252.86, standard deviation of 15.9, and Mean Deviation of 5.53. Feel Foods technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices. Please confirm Feel Foods mean deviation, total risk alpha, as well as the relationship between the Total Risk Alpha and kurtosis to decide if Feel Foods is priced favorably, providing market reflects its regular price of 0.0205 per share. As Feel Foods appears to be a penny stock we also advise to verify its information ratio numbers.
Feel 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 Feel, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to FeelFeel |
Feel 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 Feel 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 Feel Foods.
| 11/19/2025 |
| 02/17/2026 |
If you would invest 0.00 in Feel Foods on November 19, 2025 and sell it all today you would earn a total of 0.00 from holding Feel Foods or generate 0.0% return on investment in Feel Foods over 90 days. Ultra Brands Ltd. operates as an agri-food holdings company More
Feel 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 Feel 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 Feel Foods upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1779 | |||
| Maximum Drawdown | 116.39 |
Feel Foods Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Feel Foods' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Feel Foods' standard deviation. In reality, there are many statistical measures that can use Feel Foods historical prices to predict the future Feel Foods' volatility.| Risk Adjusted Performance | 0.1566 | |||
| Jensen Alpha | 2.89 | |||
| Total Risk Alpha | 1.71 | |||
| Treynor Ratio | 50.94 |
Feel Foods February 17, 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 | 0.1566 | |||
| Market Risk Adjusted Performance | 50.95 | |||
| Mean Deviation | 5.53 | |||
| Coefficient Of Variation | 548.6 | |||
| Standard Deviation | 15.9 | |||
| Variance | 252.86 | |||
| Information Ratio | 0.1779 | |||
| Jensen Alpha | 2.89 | |||
| Total Risk Alpha | 1.71 | |||
| Treynor Ratio | 50.94 | |||
| Maximum Drawdown | 116.39 | |||
| Skewness | 6.35 | |||
| Kurtosis | 42.65 |
Feel Foods Backtested Returns
Feel Foods is out of control given 3 months investment horizon. Feel Foods secures Sharpe Ratio (or Efficiency) of 0.19, which denotes the company had a 0.19 % return per unit of risk over the last 3 months. We were able to break down and interpolate sixteen different technical indicators, which can help you to evaluate if expected returns of 3.09% are justified by taking the suggested risk. Use Feel Foods Mean Deviation of 5.53, variance of 252.86, and Standard Deviation of 15.9 to evaluate company specific risk that cannot be diversified away. Feel Foods holds a performance score of 14 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of 0.0567, which means not very significant fluctuations relative to the market. As returns on the market increase, Feel Foods' returns are expected to increase less than the market. However, during the bear market, the loss of holding Feel Foods is expected to be smaller as well. Use Feel Foods mean deviation, information ratio, as well as the relationship between the Information Ratio and kurtosis , to analyze future returns on Feel Foods.
Auto-correlation | 0.32 |
Below average predictability
Feel Foods has below average predictability. Overlapping area represents the amount of predictability between Feel Foods time series from 19th of November 2025 to 3rd of January 2026 and 3rd of January 2026 to 17th 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 Feel Foods price movement. The serial correlation of 0.32 indicates that nearly 32.0% of current Feel Foods price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.32 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Feel 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.
Feel Foods Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Feel Foods volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Feel 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 Feel 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 Feel Foods based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Feel Foods price pattern first instead of the macroeconomic environment surrounding Feel Foods. By analyzing Feel 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 Feel 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 Feel Foods specific price patterns or momentum indicators. Please read more on our technical analysis page.
Feel Foods February 17, 2026 Technical Indicators
Most technical analysis of Feel 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 Feel from various momentum indicators to cycle indicators. When you analyze Feel 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 | 0.1566 | |||
| Market Risk Adjusted Performance | 50.95 | |||
| Mean Deviation | 5.53 | |||
| Coefficient Of Variation | 548.6 | |||
| Standard Deviation | 15.9 | |||
| Variance | 252.86 | |||
| Information Ratio | 0.1779 | |||
| Jensen Alpha | 2.89 | |||
| Total Risk Alpha | 1.71 | |||
| Treynor Ratio | 50.94 | |||
| Maximum Drawdown | 116.39 | |||
| Skewness | 6.35 | |||
| Kurtosis | 42.65 |
Feel Foods February 17, 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 Feel 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.02 | ||
| Day Typical Price | 0.02 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Feel Pink Sheet analysis
When running Feel Foods' price analysis, check to measure Feel 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 Feel Foods is operating at the current time. Most of Feel Foods' value examination focuses on studying past and present price action to predict the probability of Feel Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Feel Foods' price. Additionally, you may evaluate how the addition of Feel Foods to your portfolios can decrease your overall portfolio volatility.
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