Big Tech (Israel) Odds of Future Stock Price Finishing Over 164.16

BIGT Stock   152.60  7.40  4.63%   
Big Tech's future price is the expected price of Big Tech instrument. It is based on its current growth rate as well as the projected cash flow expected by the investors. This tool provides a mechanism to make assumptions about the upside potential and downside risk of Big Tech 50 performance during a given time horizon utilizing its historical volatility. Check out Big Tech Backtesting, Big Tech Valuation, Big Tech Correlation, Big Tech Hype Analysis, Big Tech Volatility, Big Tech History as well as Big Tech Performance.
  
Please specify Big Tech's target price for which you would like Big Tech odds to be computed.

Big Tech Target Price Odds to finish over 164.16

The tendency of Big Stock price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
Current PriceHorizonTarget PriceOdds to move over  164.16  or more in 90 days
 152.60 90 days 164.16 
about 35.78
Based on a normal probability distribution, the odds of Big Tech to move over  164.16  or more in 90 days from now is about 35.78 (This Big Tech 50 probability density function shows the probability of Big Stock to fall within a particular range of prices over 90 days) . Probability of Big Tech 50 price to stay between its current price of  152.60  and  164.16  at the end of the 90-day period is about 47.17 .
Assuming the 90 days trading horizon Big Tech has a beta of 0.81 suggesting as returns on the market go up, Big Tech average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Big Tech 50 will be expected to be much smaller as well. Additionally Big Tech 50 has a negative alpha, implying that the risk taken by holding this instrument is not justified. The company is significantly underperforming the Dow Jones Industrial.
   Big Tech Price Density   
       Price  

Predictive Modules for Big Tech

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Big Tech 50. 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.
Hype
Prediction
LowEstimatedHigh
150.61152.60154.59
Details
Intrinsic
Valuation
LowRealHigh
112.46114.45167.86
Details
Naive
Forecast
LowNextHigh
143.65145.63147.62
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
141.77156.62171.47
Details

Big Tech Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Big Tech is not an exception. The market had few large corrections towards the Big Tech's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold Big Tech 50, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Big Tech within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.42
β
Beta against Dow Jones0.81
σ
Overall volatility
8.78
Ir
Information ratio -0.22

Big Tech Alerts and Suggestions

In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of Big Tech for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Big Tech 50 can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Big Tech 50 generated a negative expected return over the last 90 days
About 18.0% of the company shares are held by company insiders

Big Tech Price Density Drivers

Market volatility will typically increase when nervous long traders begin to feel the short-sellers pressure to drive the market lower. The future price of Big Stock often depends not only on the future outlook of the current and potential Big Tech's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Big Tech's indicators that are reflective of the short sentiment are summarized in the table below.
Dividend Yield0.4394
Forward Annual Dividend Rate0.84
Shares Float6.7 M

Big Tech Technical Analysis

Big Tech's future price can be derived by breaking down and analyzing its technical indicators over time. Big Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Big Tech 50. In general, you should focus on analyzing Big Stock price patterns and their correlations with different microeconomic environments and drivers.

Big Tech Predictive Forecast Models

Big Tech's time-series forecasting models is one of many Big Tech's stock analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary Big Tech's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the stock market movement and maximize returns from investment trading.

Things to note about Big Tech 50

Checking the ongoing alerts about Big Tech for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Big Tech 50 help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Big Tech 50 generated a negative expected return over the last 90 days
About 18.0% of the company shares are held by company insiders

Other Information on Investing in Big Stock

Big Tech financial ratios help investors to determine whether Big Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Big with respect to the benefits of owning Big Tech security.