Meta Financial Group Stock Price on November 12, 2024

CASH Stock  USD 80.78  1.26  1.58%   
If you're considering investing in Meta Stock, it is important to understand the factors that can impact its price. As of today, the current price of Meta Financial stands at 80.78, as last reported on the 22nd of November, with the highest price reaching 82.35 and the lowest price hitting 79.72 during the day. Meta Financial appears to be very steady, given 3 months investment horizon. Meta Financial Group has Sharpe Ratio of 0.15, which conveys that the firm had a 0.15% return per unit of risk over the last 3 months. We have found thirty technical indicators for Meta Financial, which you can use to evaluate the volatility of the firm. Please exercise Meta Financial's Downside Deviation of 1.5, mean deviation of 1.44, and Risk Adjusted Performance of 0.1205 to check out if our risk estimates are consistent with your expectations.
  
Meta Stock price history is provided at the adjusted basis, taking into account all of the recent filings.

Sharpe Ratio = 0.1494

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Estimated Market Risk

 2.2
  actual daily
19
81% of assets are more volatile

Expected Return

 0.33
  actual daily
6
94% of assets have higher returns

Risk-Adjusted Return

 0.15
  actual daily
11
89% of assets perform better
Based on monthly moving average Meta Financial is performing at about 11% of its full potential. If added to a well diversified portfolio the total return can be enhanced and market risk can be reduced. You can increase risk-adjusted return of Meta Financial by adding it to a well-diversified portfolio.

Meta Financial Valuation on November 12, 2024

It is possible to determine the worth of Meta Financial on a given historical date. On November 12, 2024 Meta was worth 81.41 at the beginning of the trading date compared to the closed value of 81.57. We use multiple weighted factors in our valuation methodologies to arrive at the intrinsic value of Meta Financial stock. Still, in general, we apply an absolute valuation method to find Meta Financial's value based on its fundamental and technical indicators available within our service. As compared to an absolute model, our relative valuation model uses a comparative analysis of Meta Financial where we calculate exposure to its market risk and evaluate relevant financial multiples and ratios against Meta Financial's related companies.
 Open High Low Close Volume
  80.51    82.26    79.55    81.54    222,683  
11/12/2024
  81.41    82.25    81.02    81.57    249,463  
  81.70    83.83    81.49    81.55    225,357  
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Open Value
81.41
81.57
Closing Value
88.00
Upside

Meta Financial Trading Date Momentum on November 12, 2024

On November 13 2024 Meta Financial Group was traded for  81.55  at the closing time. The top price for the day was 83.83  and the lowest listed price was  81.49 . The trading volume for the day was 225.4 K. The trading history from November 13, 2024 was a factor to the next trading day price decrease. The overall trading delta against the next closing price was 0.02% . The trading delta at closing time against the current closing price is 1.23% .

Meta Financial Group Fundamentals Correlations and Trends

By evaluating Meta Financial's financials over time, investors can gain insight into future company performance. However, you can also analyze the published financial statements to find patterns among Meta Financial's main balance sheet or income statement drivers and many other relevant indicators that can statistically be found significantly correlated or uncorrelated. Meta financial account trend analysis is a perfect complement when working with valuation or volatility modules.

About Meta Financial Stock history

Meta Financial investors dedicate a lot of time and effort to gaining insight into how a market's past behavior relates to its future. Access to timely market data for Meta is vital when making an investment decision, and regardless of whether you use fundamental or technical analysis, your return on investment in Meta Financial Group will depend on recognizing future opportunities and eliminating past mistakes. Historical data analysis is the study of market behavior over a given time. Recorded market-related data such as price, volatility, and volume can be quantified and studied over a defined period. Through a detailed examination of a market's past behavior, traders and investors can gain perspective on the inner workings of that market. The information obtained throughout analyzing Meta Financial stock prices may prove useful in developing a viable investing in Meta Financial
Pathward Financial, Inc. operates as the holding company for Pathward, National Association that provides various banking products and services in the United States. Pathward Financial, Inc. was founded in 1954 and is headquartered in Sioux Falls, South Dakota. Pathward Financial operates under BanksRegional classification in the United States and is traded on NASDAQ Exchange. It employs 1121 people.

Meta Financial Stock Technical Analysis

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.
A focus of Meta Financial technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of Meta Financial trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

Price Boundaries

Meta Financial Period Price Range

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November 22, 2024
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Meta Financial Group cannot be verified against its exchange. Please verify the symbol is currently traded on NASDAQ Exchange. If you still believe the symbol you are trying to look up is valid, please let us know, and we will check it as soon as possible.

Meta Financial November 22, 2024 Market Strength

Market strength indicators help investors to evaluate how Meta Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Meta Financial shares will generate the highest return on investment. By undertsting and applying Meta Financial stock market strength indicators, traders can identify Meta Financial Group entry and exit signals to maximize returns

Meta Financial Technical and Predictive Indicators

Predictive indicators are helping investors to find signals for Meta Financial's price direction in advance. Along with the technical and fundamental analysis of Meta Stock historical price patterns, it is also worthwhile for investors to track various predictive indicators of Meta to make sure they correctly time the market and exploit it's hidden potentials. Even though most predictive indicators are useful for the short-term horizon, it's virtually impossible to predict the unforeseen market. For traders with a short-term horizon, predictive indicators add value when properly applied. Long-term investors, however, may find many predictive indicators less useful.

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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