Meta Financial (Germany) Technical Analysis
| FM7 Stock | EUR 71.50 3.50 5.15% |
As of the 28th of January, Meta Financial secures the Downside Deviation of 1.65, risk adjusted performance of 0.1131, and Mean Deviation of 1.41. Meta Financial Group technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices. Please verify Meta Financial Group information ratio, treynor ratio, value at risk, as well as the relationship between the jensen alpha and maximum drawdown to decide if Meta Financial Group is priced some-what accurately, providing market reflects its recent price of 71.5 per share.
Meta Financial Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Meta, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MetaMeta |
Meta Financial '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 Meta Financial's stock 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 Meta Financial.
| 10/30/2025 |
| 01/28/2026 |
If you would invest 0.00 in Meta Financial on October 30, 2025 and sell it all today you would earn a total of 0.00 from holding Meta Financial Group or generate 0.0% return on investment in Meta Financial over 90 days. Meta Financial is related to or competes with SEI INVESTMENTS, Westshore Terminals, Warner Music, Tamburi Investment, and Diversified Healthcare. Pathward Financial, Inc. operates as the holding company for Pathward, National Association that provides various bankin... More
Meta Financial 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 Meta Financial's stock 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 Meta Financial Group upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.65 | |||
| Information Ratio | 0.1009 | |||
| Maximum Drawdown | 5.86 | |||
| Value At Risk | (2.44) | |||
| Potential Upside | 3.42 |
Meta Financial Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Meta Financial's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Meta Financial's standard deviation. In reality, there are many statistical measures that can use Meta Financial historical prices to predict the future Meta Financial's volatility.| Risk Adjusted Performance | 0.1131 | |||
| Jensen Alpha | 0.2336 | |||
| Total Risk Alpha | 0.0813 | |||
| Sortino Ratio | 0.1078 | |||
| Treynor Ratio | 1.26 |
Meta Financial 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 | 0.1131 | |||
| Market Risk Adjusted Performance | 1.27 | |||
| Mean Deviation | 1.41 | |||
| Semi Deviation | 1.28 | |||
| Downside Deviation | 1.65 | |||
| Coefficient Of Variation | 686.0 | |||
| Standard Deviation | 1.76 | |||
| Variance | 3.11 | |||
| Information Ratio | 0.1009 | |||
| Jensen Alpha | 0.2336 | |||
| Total Risk Alpha | 0.0813 | |||
| Sortino Ratio | 0.1078 | |||
| Treynor Ratio | 1.26 | |||
| Maximum Drawdown | 5.86 | |||
| Value At Risk | (2.44) | |||
| Potential Upside | 3.42 | |||
| Downside Variance | 2.73 | |||
| Semi Variance | 1.63 | |||
| Expected Short fall | (1.80) | |||
| Skewness | 0.4061 | |||
| Kurtosis | (0.02) |
Meta Financial Group Backtested Returns
Meta Financial appears to be very steady, given 3 months investment horizon. Meta Financial Group 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-eight technical indicators for Meta Financial, which you can use to evaluate the volatility of the firm. Please exercise Meta Financial's Mean Deviation of 1.41, downside deviation of 1.65, and Risk Adjusted Performance of 0.1131 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Meta Financial holds a performance score of 15. The company secures a Beta (Market Risk) of 0.2, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Meta Financial's returns are expected to increase less than the market. However, during the bear market, the loss of holding Meta Financial is expected to be smaller as well. Please check Meta Financial's treynor ratio, value at risk, and the relationship between the sortino ratio and maximum drawdown , to make a quick decision on whether Meta Financial's current price movements will revert.
Auto-correlation | 0.74 |
Good predictability
Meta Financial Group has good predictability. Overlapping area represents the amount of predictability between Meta Financial 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 Meta Financial Group price movement. The serial correlation of 0.74 indicates that around 74.0% of current Meta Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.74 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 7.1 |
Meta Financial technical stock 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, stock market cycles, or different charting patterns.
Meta Financial Group 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 Meta Financial Group across different markets.
About Meta Financial 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 Meta Financial Group 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 Meta Financial Group based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Meta Financial Group price pattern first instead of the macroeconomic environment surrounding Meta Financial Group. By analyzing Meta Financial'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 Meta Financial'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 Meta Financial specific price patterns or momentum indicators. Please read more on our technical analysis page.
Meta Financial January 28, 2026 Technical Indicators
Most technical analysis of Meta 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 Meta from various momentum indicators to cycle indicators. When you analyze Meta 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 | 0.1131 | |||
| Market Risk Adjusted Performance | 1.27 | |||
| Mean Deviation | 1.41 | |||
| Semi Deviation | 1.28 | |||
| Downside Deviation | 1.65 | |||
| Coefficient Of Variation | 686.0 | |||
| Standard Deviation | 1.76 | |||
| Variance | 3.11 | |||
| Information Ratio | 0.1009 | |||
| Jensen Alpha | 0.2336 | |||
| Total Risk Alpha | 0.0813 | |||
| Sortino Ratio | 0.1078 | |||
| Treynor Ratio | 1.26 | |||
| Maximum Drawdown | 5.86 | |||
| Value At Risk | (2.44) | |||
| Potential Upside | 3.42 | |||
| Downside Variance | 2.73 | |||
| Semi Variance | 1.63 | |||
| Expected Short fall | (1.80) | |||
| Skewness | 0.4061 | |||
| Kurtosis | (0.02) |
Meta Financial 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 Meta 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 | 1.05 | ||
| Day Median Price | 71.50 | ||
| Day Typical Price | 71.50 | ||
| Price Action Indicator | 1.75 |
Complementary Tools for Meta Stock analysis
When running Meta Financial's price analysis, check to measure Meta Financial'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 Meta Financial is operating at the current time. Most of Meta Financial's value examination focuses on studying past and present price action to predict the probability of Meta Financial's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Meta Financial's price. Additionally, you may evaluate how the addition of Meta Financial to your portfolios can decrease your overall portfolio volatility.
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