Migdal Insurance Stock Forecast - Simple Moving Average
| MGDL Stock | ILS 465.00 9.80 2.15% |
The Simple Moving Average forecasted value of Migdal Insurance on the next trading day is expected to be 465.00 with a mean absolute deviation of 8.61 and the sum of the absolute errors of 507.95. Migdal Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Migdal Insurance stock prices and determine the direction of Migdal Insurance's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Migdal Insurance's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Migdal Insurance to cross-verify your projections. Migdal |
Most investors in Migdal Insurance cannot accurately predict what will happen the next trading day because, historically, stock markets tend to be unpredictable and even illogical. Modeling turbulent structures requires applying different statistical methods, techniques, and algorithms to find hidden data structures or patterns within the Migdal Insurance's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Migdal Insurance's price structures and extracts relationships that further increase the generated results' accuracy.
A two period moving average forecast for Migdal Insurance is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility. Migdal Insurance Simple Moving Average Price Forecast For the 24th of April
Given 90 days horizon, the Simple Moving Average forecasted value of Migdal Insurance on the next trading day is expected to be 465.00 with a mean absolute deviation of 8.61, mean absolute percentage error of 125.06, and the sum of the absolute errors of 507.95.Please note that although there have been many attempts to predict Migdal 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 Migdal Insurance's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Migdal Insurance Stock Forecast Pattern
| Backtest Migdal Insurance | Migdal Insurance Price Prediction | Buy or Sell Advice |
Migdal Insurance Forecasted Value
In the context of forecasting Migdal Insurance'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. Migdal Insurance's downside and upside margins for the forecasting period are 462.76 and 467.24, respectively. We have considered Migdal Insurance'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 Moving Average forecasting method's relative quality and the estimations of the prediction error of Migdal Insurance stock data series using in forecasting. Note that when a statistical model is used to represent Migdal Insurance 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 | 119.2636 |
| Bias | Arithmetic mean of the errors | -0.9754 |
| MAD | Mean absolute deviation | 8.6093 |
| MAPE | Mean absolute percentage error | 0.0188 |
| SAE | Sum of the absolute errors | 507.95 |
Predictive Modules for Migdal Insurance
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Migdal Insurance. 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 Migdal Insurance'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 Migdal Insurance
For every potential investor in Migdal, whether a beginner or expert, Migdal Insurance's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Migdal Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Migdal. Basic forecasting techniques help filter out the noise by identifying Migdal Insurance's price trends.Migdal Insurance Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Migdal Insurance stock to make a market-neutral strategy. Peer analysis of Migdal Insurance could also be used in its relative valuation, which is a method of valuing Migdal Insurance by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Migdal Insurance 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 Migdal Insurance'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 Migdal Insurance's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Migdal Insurance Market Strength Events
Market strength indicators help investors to evaluate how Migdal Insurance stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Migdal Insurance shares will generate the highest return on investment. By undertsting and applying Migdal Insurance stock market strength indicators, traders can identify Migdal Insurance entry and exit signals to maximize returns.
Migdal Insurance Risk Indicators
The analysis of Migdal Insurance'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 Migdal Insurance's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting migdal 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 | 1.79 | |||
| Semi Deviation | 1.89 | |||
| Standard Deviation | 2.29 | |||
| Variance | 5.25 | |||
| Downside Variance | 4.42 | |||
| Semi Variance | 3.59 | |||
| Expected Short fall | (1.97) |
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.
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ArchitectCheck out Historical Fundamental Analysis of Migdal Insurance to cross-verify your projections. You can also try the Stock Tickers module to use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites.
Complementary Tools for Migdal Stock analysis
When running Migdal Insurance's price analysis, check to measure Migdal Insurance'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 Migdal Insurance is operating at the current time. Most of Migdal Insurance's value examination focuses on studying past and present price action to predict the probability of Migdal Insurance's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Migdal Insurance's price. Additionally, you may evaluate how the addition of Migdal Insurance to your portfolios can decrease your overall portfolio volatility.
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Stock Tickers Use high-impact, comprehensive, and customizable stock tickers that can be easily integrated to any websites | |
| Instant Ratings Determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios |