Meta Financial Group Stock Technical Analysis
| CASH Stock | USD 92.38 0.81 0.88% |
As of the 5th of February, Meta Financial secures the Downside Deviation of 1.26, risk adjusted performance of 0.1949, and Mean Deviation of 1.32. 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.
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 Financial's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.Meta Financial Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 100.0 | Buy | 3 | Odds |
Most Meta analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Meta stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Meta Financial Group, talking to its executives and customers, or listening to Meta conference calls.
Is there potential for Regional Banks market expansion? Will Meta introduce new products? Factors like these will boost the valuation of Meta Financial. Projected growth potential of Meta fundamentally drives upward valuation adjustments. Understanding fair value requires weighing current performance against future potential. All the valuation information about Meta Financial listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.279 | Dividend Share 0.2 | Earnings Share 8.21 | Revenue Per Share | Quarterly Revenue Growth 0.036 |
Investors evaluate Meta Financial Group using market value (trading price) and book value (balance sheet equity), each telling a different story. Calculating Meta Financial's intrinsic value - the estimated true worth - helps identify when the stock trades at a discount or premium to fair value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. External factors like market trends, sector rotation, and investor psychology can cause Meta Financial's market price to deviate significantly from intrinsic value.
It's important to distinguish between Meta Financial's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Meta Financial should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Conversely, Meta Financial's market price signifies the transaction level at which participants voluntarily complete trades.
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.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in Meta Financial on November 7, 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 AmeriServ Financial, Broadway Financial, Home Federal, NSTS Bancorp, Catalyst Bancorp, First Seacoast, and Tectonic Financial. 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 | 1.26 | |||
| Information Ratio | 0.2206 | |||
| Maximum Drawdown | 7.97 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 3.8 |
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 | 0.1949 | |||
| Jensen Alpha | 0.3933 | |||
| Total Risk Alpha | 0.3142 | |||
| Sortino Ratio | 0.3102 | |||
| Treynor Ratio | 0.4649 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Meta Financial'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.
Meta Financial February 5, 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 | 0.1949 | |||
| Market Risk Adjusted Performance | 0.4749 | |||
| Mean Deviation | 1.32 | |||
| Semi Deviation | 0.8487 | |||
| Downside Deviation | 1.26 | |||
| Coefficient Of Variation | 389.12 | |||
| Standard Deviation | 1.77 | |||
| Variance | 3.14 | |||
| Information Ratio | 0.2206 | |||
| Jensen Alpha | 0.3933 | |||
| Total Risk Alpha | 0.3142 | |||
| Sortino Ratio | 0.3102 | |||
| Treynor Ratio | 0.4649 | |||
| Maximum Drawdown | 7.97 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 3.8 | |||
| Downside Variance | 1.59 | |||
| Semi Variance | 0.7203 | |||
| Expected Short fall | (1.57) | |||
| Skewness | 1.14 | |||
| Kurtosis | 2.56 |
Meta Financial Group Backtested Returns
Meta Financial appears to be very steady, given 3 months investment horizon. Meta Financial Group has Sharpe Ratio of 0.28, which conveys that the firm had a 0.28 % return per unit of risk over the last 3 months. By analyzing Meta Financial's technical indicators, you can evaluate if the expected return of 0.5% is justified by implied risk. Please exercise Meta Financial's Mean Deviation of 1.32, downside deviation of 1.26, and Risk Adjusted Performance of 0.1949 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 22. The company secures a Beta (Market Risk) of 0.96, which conveys possible diversification benefits within a given portfolio. Meta Financial returns are very sensitive to returns on the market. As the market goes up or down, Meta Financial is expected to follow. Please check Meta Financial's semi variance, and the relationship between the maximum drawdown and accumulation distribution , to make a quick decision on whether Meta Financial's current price movements will revert.
Auto-correlation | 0.75 |
Good predictability
Meta Financial Group has good predictability. Overlapping area represents the amount of predictability between Meta Financial time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th 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 Meta Financial Group price movement. The serial correlation of 0.75 indicates that around 75.0% of current Meta Financial price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.75 | |
| Spearman Rank Test | 0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 51.33 |
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 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 Meta Financial Group volatility. High ATR values indicate high volatility, and low values indicate low volatility.
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.
| 2023 | 2024 | 2025 | 2026 (projected) | Dividend Yield | 0.00305 | 0.002706 | 0.003112 | 0.002956 | Price To Sales Ratio | 2.65 | 2.53 | 2.27 | 1.42 |
Meta Financial February 5, 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 | 0.1949 | |||
| Market Risk Adjusted Performance | 0.4749 | |||
| Mean Deviation | 1.32 | |||
| Semi Deviation | 0.8487 | |||
| Downside Deviation | 1.26 | |||
| Coefficient Of Variation | 389.12 | |||
| Standard Deviation | 1.77 | |||
| Variance | 3.14 | |||
| Information Ratio | 0.2206 | |||
| Jensen Alpha | 0.3933 | |||
| Total Risk Alpha | 0.3142 | |||
| Sortino Ratio | 0.3102 | |||
| Treynor Ratio | 0.4649 | |||
| Maximum Drawdown | 7.97 | |||
| Value At Risk | (1.72) | |||
| Potential Upside | 3.8 | |||
| Downside Variance | 1.59 | |||
| Semi Variance | 0.7203 | |||
| Expected Short fall | (1.57) | |||
| Skewness | 1.14 | |||
| Kurtosis | 2.56 |
Meta Financial February 5, 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 | 0.01 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 91.98 | ||
| Day Typical Price | 92.11 | ||
| Price Action Indicator | 0.81 | ||
| Market Facilitation Index | 0.81 |
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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