Leaf Mobile Stock Probability of Future OTC Stock Price Finishing Over 0.38

EAGRF Stock  USD 0.42  0.07  14.29%   
Leaf Mobile's future price is the expected price of Leaf Mobile 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 Leaf Mobile performance during a given time horizon utilizing its historical volatility. Check out Leaf Mobile Backtesting, Leaf Mobile Valuation, Leaf Mobile Correlation, Leaf Mobile Hype Analysis, Leaf Mobile Volatility, Leaf Mobile History as well as Leaf Mobile Performance.
  
Please specify Leaf Mobile's target price for which you would like Leaf Mobile odds to be computed.

Leaf Mobile Target Price Odds to finish over 0.38

The tendency of Leaf OTC 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 stay above $ 0.38  in 90 days
 0.42 90 days 0.38 
close to 99
Based on a normal probability distribution, the odds of Leaf Mobile to stay above $ 0.38  in 90 days from now is close to 99 (This Leaf Mobile probability density function shows the probability of Leaf OTC Stock to fall within a particular range of prices over 90 days) . Probability of Leaf Mobile price to stay between $ 0.38  and its current price of $0.42 at the end of the 90-day period is near 1 .
Assuming the 90 days horizon Leaf Mobile has a beta of 0.21 suggesting as returns on the market go up, Leaf Mobile average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Leaf Mobile will be expected to be much smaller as well. Additionally Leaf Mobile 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.
   Leaf Mobile Price Density   
       Price  

Predictive Modules for Leaf Mobile

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Leaf Mobile. Regardless of method or technology, however, to accurately forecast the otc stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the otc 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
0.020.423.15
Details
Intrinsic
Valuation
LowRealHigh
0.020.393.12
Details
Naive
Forecast
LowNextHigh
0.010.413.15
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
0.420.420.42
Details

Leaf Mobile Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. Leaf Mobile is not an exception. The market had few large corrections towards the Leaf Mobile'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 Leaf Mobile, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Leaf Mobile within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
-0.45
β
Beta against Dow Jones0.21
σ
Overall volatility
0.05
Ir
Information ratio -0.19

Leaf Mobile 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 Leaf Mobile for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for Leaf Mobile can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
Leaf Mobile generated a negative expected return over the last 90 days
Leaf Mobile has some characteristics of a very speculative penny stock
Leaf Mobile has high likelihood to experience some financial distress in the next 2 years
The company reported the revenue of 93.19 M. Net Loss for the year was (1.88 M) with profit before overhead, payroll, taxes, and interest of 59.91 M.
About 58.0% of the company shares are held by company insiders

Leaf Mobile 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 Leaf OTC Stock often depends not only on the future outlook of the current and potential Leaf Mobile'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. Leaf Mobile's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding76.6 M

Leaf Mobile Technical Analysis

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

Leaf Mobile Predictive Forecast Models

Leaf Mobile's time-series forecasting models is one of many Leaf Mobile's otc 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 Leaf Mobile'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 otc stock market movement and maximize returns from investment trading.

Things to note about Leaf Mobile

Checking the ongoing alerts about Leaf Mobile for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for Leaf Mobile help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
Leaf Mobile generated a negative expected return over the last 90 days
Leaf Mobile has some characteristics of a very speculative penny stock
Leaf Mobile has high likelihood to experience some financial distress in the next 2 years
The company reported the revenue of 93.19 M. Net Loss for the year was (1.88 M) with profit before overhead, payroll, taxes, and interest of 59.91 M.
About 58.0% of the company shares are held by company insiders

Other Information on Investing in Leaf OTC Stock

Leaf Mobile financial ratios help investors to determine whether Leaf OTC 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 Leaf with respect to the benefits of owning Leaf Mobile security.