Bet Shemesh Stock Forecast - Polynomial Regression
BSEN Stock | ILS 18,100 380.00 2.06% |
The Polynomial Regression forecasted value of Bet Shemesh Engines on the next trading day is expected to be 19,301 with a mean absolute deviation of 398.12 and the sum of the absolute errors of 24,285. Bet Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Bet Shemesh stock prices and determine the direction of Bet Shemesh Engines's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Bet Shemesh's historical fundamentals, such as revenue growth or operating cash flow patterns.
Check out Historical Fundamental Analysis of Bet Shemesh to cross-verify your projections. Bet |
Most investors in Bet Shemesh 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 Bet Shemesh's time series price data and predict how it will affect future prices. One of these methodologies is forecasting, which interprets Bet Shemesh's price structures and extracts relationships that further increase the generated results' accuracy.
Bet Shemesh polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Bet Shemesh Engines as well as the accuracy indicators are determined from the period prices. Bet Shemesh Polynomial Regression Price Forecast For the 4th of May
Given 90 days horizon, the Polynomial Regression forecasted value of Bet Shemesh Engines on the next trading day is expected to be 19,301 with a mean absolute deviation of 398.12, mean absolute percentage error of 249,647, and the sum of the absolute errors of 24,285.Please note that although there have been many attempts to predict Bet 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 Bet Shemesh's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Bet Shemesh Stock Forecast Pattern
Backtest Bet Shemesh | Bet Shemesh Price Prediction | Buy or Sell Advice |
Bet Shemesh Forecasted Value
In the context of forecasting Bet Shemesh'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. Bet Shemesh's downside and upside margins for the forecasting period are 19,298 and 19,304, respectively. We have considered Bet Shemesh'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of Bet Shemesh stock data series using in forecasting. Note that when a statistical model is used to represent Bet Shemesh 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 | 130.5383 |
Bias | Arithmetic mean of the errors | None |
MAD | Mean absolute deviation | 398.1228 |
MAPE | Mean absolute percentage error | 0.0297 |
SAE | Sum of the absolute errors | 24285.4887 |
Predictive Modules for Bet Shemesh
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Bet Shemesh Engines. 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 Bet Shemesh'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 Bet Shemesh
For every potential investor in Bet, whether a beginner or expert, Bet Shemesh's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Bet Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Bet. Basic forecasting techniques help filter out the noise by identifying Bet Shemesh's price trends.Bet Shemesh 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 Bet Shemesh stock to make a market-neutral strategy. Peer analysis of Bet Shemesh could also be used in its relative valuation, which is a method of valuing Bet Shemesh by comparing valuation metrics with similar companies.
Risk & Return | Correlation |
Bet Shemesh Engines 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 Bet Shemesh'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 Bet Shemesh's current price.Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Bet Shemesh Market Strength Events
Market strength indicators help investors to evaluate how Bet Shemesh stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Bet Shemesh shares will generate the highest return on investment. By undertsting and applying Bet Shemesh stock market strength indicators, traders can identify Bet Shemesh Engines entry and exit signals to maximize returns.
Accumulation Distribution | 0.0459 | |||
Daily Balance Of Power | (0.44) | |||
Rate Of Daily Change | 0.98 | |||
Day Median Price | 18535.0 | |||
Day Typical Price | 18390.0 | |||
Market Facilitation Index | 870.0 | |||
Price Action Indicator | (625.00) | |||
Period Momentum Indicator | (380.00) | |||
Relative Strength Index | 71.13 |
Bet Shemesh Risk Indicators
The analysis of Bet Shemesh'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 Bet Shemesh's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting bet 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 | 2.0 | |||
Semi Deviation | 1.29 | |||
Standard Deviation | 2.68 | |||
Variance | 7.19 | |||
Downside Variance | 3.14 | |||
Semi Variance | 1.65 | |||
Expected Short fall | (2.49) |
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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Bet Shemesh in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Bet Shemesh's short interest history, or implied volatility extrapolated from Bet Shemesh options trading.
Pair Trading with Bet Shemesh
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Bet Shemesh position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Bet Shemesh will appreciate offsetting losses from the drop in the long position's value.Moving against Bet Stock
0.76 | BEZQ | Bezeq Israeli Teleco | PairCorr |
0.5 | IBLD | Mivne Real Estate | PairCorr |
0.47 | KEN | Kenon Holdings | PairCorr |
The ability to find closely correlated positions to Bet Shemesh could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bet Shemesh when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Bet Shemesh - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Bet Shemesh Engines to buy it.
The correlation of Bet Shemesh is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Bet Shemesh moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Bet Shemesh Engines moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Bet Shemesh can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Historical Fundamental Analysis of Bet Shemesh to cross-verify your projections. You can also try the Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
Complementary Tools for Bet Stock analysis
When running Bet Shemesh's price analysis, check to measure Bet Shemesh'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 Bet Shemesh is operating at the current time. Most of Bet Shemesh's value examination focuses on studying past and present price action to predict the probability of Bet Shemesh's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bet Shemesh's price. Additionally, you may evaluate how the addition of Bet Shemesh to your portfolios can decrease your overall portfolio volatility.
Transaction History View history of all your transactions and understand their impact on performance | |
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio | |
Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
Price Ceiling Movement Calculate and plot Price Ceiling Movement for different equity instruments | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |