Missfresh Limited Stock Technical Analysis
| MFLTY Stock | 0.0003 0.00 0.00% |
As of the 7th of February, Missfresh secures the Mean Deviation of 6.25, risk adjusted performance of 0.1112, and Standard Deviation of 25.2. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Missfresh Limited, as well as the relationship between them.
Missfresh Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Missfresh, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MissfreshMissfresh |
Missfresh '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 Missfresh'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 Missfresh.
| 11/09/2025 |
| 02/07/2026 |
If you would invest 0.00 in Missfresh on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Missfresh Limited or generate 0.0% return on investment in Missfresh over 90 days. More
Missfresh 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 Missfresh'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 Missfresh Limited upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1224 | |||
| Maximum Drawdown | 200.0 |
Missfresh Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Missfresh's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Missfresh's standard deviation. In reality, there are many statistical measures that can use Missfresh historical prices to predict the future Missfresh's volatility.| Risk Adjusted Performance | 0.1112 | |||
| Jensen Alpha | 3.11 | |||
| Total Risk Alpha | 0.6732 | |||
| Treynor Ratio | 4.74 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Missfresh's 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.
Missfresh February 7, 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 | 0.1112 | |||
| Market Risk Adjusted Performance | 4.75 | |||
| Mean Deviation | 6.25 | |||
| Coefficient Of Variation | 793.73 | |||
| Standard Deviation | 25.2 | |||
| Variance | 634.92 | |||
| Information Ratio | 0.1224 | |||
| Jensen Alpha | 3.11 | |||
| Total Risk Alpha | 0.6732 | |||
| Treynor Ratio | 4.74 | |||
| Maximum Drawdown | 200.0 | |||
| Skewness | 7.94 | |||
| Kurtosis | 63.0 |
Missfresh Limited Backtested Returns
Missfresh is out of control given 3 months investment horizon. Missfresh Limited has Sharpe Ratio of 0.13, which conveys that the firm had a 0.13 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for sixteen different technical indicators, which can help you to evaluate if expected returns of 3.17% are justified by taking the suggested risk. Use Missfresh Limited Risk Adjusted Performance of 0.1112, standard deviation of 25.2, and Mean Deviation of 6.25 to evaluate company specific risk that cannot be diversified away. Missfresh holds a performance score of 10 on a scale of zero to a hundred. The company secures a Beta (Market Risk) of 0.67, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, Missfresh's returns are expected to increase less than the market. However, during the bear market, the loss of holding Missfresh is expected to be smaller as well. Use Missfresh Limited risk adjusted performance, information ratio, as well as the relationship between the Information Ratio and day median price , to analyze future returns on Missfresh Limited.
Auto-correlation | 0.00 |
No correlation between past and present
Missfresh Limited has no correlation between past and present. Overlapping area represents the amount of predictability between Missfresh time series from 9th of November 2025 to 24th of December 2025 and 24th of December 2025 to 7th 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 Missfresh Limited price movement. The serial correlation of 0.0 indicates that just 0.0% of current Missfresh price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Missfresh 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.
Missfresh Limited Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Missfresh Limited volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Missfresh 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 Missfresh Limited 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 Missfresh Limited based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Missfresh Limited price pattern first instead of the macroeconomic environment surrounding Missfresh Limited. By analyzing Missfresh'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 Missfresh'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 Missfresh specific price patterns or momentum indicators. Please read more on our technical analysis page.
Missfresh February 7, 2026 Technical Indicators
Most technical analysis of Missfresh 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 Missfresh from various momentum indicators to cycle indicators. When you analyze Missfresh 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 | 0.1112 | |||
| Market Risk Adjusted Performance | 4.75 | |||
| Mean Deviation | 6.25 | |||
| Coefficient Of Variation | 793.73 | |||
| Standard Deviation | 25.2 | |||
| Variance | 634.92 | |||
| Information Ratio | 0.1224 | |||
| Jensen Alpha | 3.11 | |||
| Total Risk Alpha | 0.6732 | |||
| Treynor Ratio | 4.74 | |||
| Maximum Drawdown | 200.0 | |||
| Skewness | 7.94 | |||
| Kurtosis | 63.0 |
Missfresh February 7, 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 Missfresh 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 | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Additional Tools for Missfresh Pink Sheet Analysis
When running Missfresh's price analysis, check to measure Missfresh'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 Missfresh is operating at the current time. Most of Missfresh's value examination focuses on studying past and present price action to predict the probability of Missfresh's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Missfresh's price. Additionally, you may evaluate how the addition of Missfresh to your portfolios can decrease your overall portfolio volatility.