Meta Financial Stock Forecast - Simple Exponential Smoothing
| CASH Stock | USD 78.43 0.69 0.89% |
The Simple Exponential Smoothing forecasted value of Meta Financial Group on the next trading day is expected to be 78.43 with a mean absolute deviation of 1.14 and the sum of the absolute errors of 69.66. Meta Stock Forecast is based on your current time horizon. We recommend always using this module together with an analysis of Meta Financial's historical fundamentals, such as revenue growth or operating cash flow patterns.
Meta |
Open Interest Against 2025-03-21 Meta Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Meta Financial's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Meta Financial's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Meta Financial stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Meta Financial's open interest, investors have to compare it to Meta Financial's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Meta Financial is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Meta. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
Meta Financial Simple Exponential Smoothing Price Forecast For the 23rd of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Meta Financial Group on the next trading day is expected to be 78.43 with a mean absolute deviation of 1.14, mean absolute percentage error of 3.07, and the sum of the absolute errors of 69.66.Please note that although there have been many attempts to predict Meta Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Meta Financial's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Meta Financial Stock Forecast Pattern
| Backtest Meta Financial | Meta Financial Price Prediction | Buy or Sell Advice |
Meta Financial Forecasted Value
In the context of forecasting Meta Financial's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Meta Financial's downside and upside margins for the forecasting period are 76.10 and 80.76, respectively. We have considered Meta Financial's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Meta Financial stock data series using in forecasting. Note that when a statistical model is used to represent Meta Financial stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 119.2334 |
| Bias | Arithmetic mean of the errors | -0.0882 |
| MAD | Mean absolute deviation | 1.142 |
| MAPE | Mean absolute percentage error | 0.0148 |
| SAE | Sum of the absolute errors | 69.66 |
Predictive Modules for Meta Financial
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Meta Financial Group. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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.
Other Forecasting Options for Meta Financial
For every potential investor in Meta, whether a beginner or expert, Meta Financial's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Meta Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Meta. Basic forecasting techniques help filter out the noise by identifying Meta Financial's price trends.View Meta Financial Related Equities
| Risk & Return | Correlation |
Meta Financial Group Technical and Predictive Analytics
The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Meta Financial's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Meta Financial's current price.| Cycle Indicators | ||
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Meta Financial Market Strength Events
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.
| Accumulation Distribution | 3900.77 | |||
| Daily Balance Of Power | 0.4423 | |||
| Rate Of Daily Change | 1.01 | |||
| Day Median Price | 78.33 | |||
| Day Typical Price | 78.36 | |||
| Price Action Indicator | 0.45 | |||
| Period Momentum Indicator | 0.69 |
Meta Financial Risk Indicators
The analysis of Meta Financial's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Meta Financial's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting meta stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.48 | |||
| Semi Deviation | 1.76 | |||
| Standard Deviation | 2.28 | |||
| Variance | 5.19 | |||
| Downside Variance | 3.64 | |||
| Semi Variance | 3.11 | |||
| Expected Short fall | (1.64) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Currently Active Assets on Macroaxis
When determining whether Meta Financial Group offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Meta Financial's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Meta Financial Group Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Meta Financial Group Stock:Check out Historical Fundamental Analysis of Meta Financial to cross-verify your projections. You can also try the Transaction History module to view history of all your transactions and understand their impact on performance.
Is Regional Banks space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Meta Financial. If investors know Meta will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. 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 (0.01) | Earnings Share 6.68 | Revenue Per Share | Quarterly Revenue Growth 0.124 | Return On Assets |
The market value of Meta Financial Group is measured differently than its book value, which is the value of Meta that is recorded on the company's balance sheet. Investors also form their own opinion of Meta Financial's value that differs from its market value or its book value, called intrinsic value, which is Meta Financial's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Meta Financial's market value can be influenced by many factors that don't directly affect Meta Financial's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Meta Financial's value and its price as these two are different measures arrived at by different means. Investors typically determine if Meta Financial is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Meta Financial's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.