L1 Long (Australia) Odds of Future Stock Price Finishing Under 1.86

LSF Stock   3.05  0.08  2.56%   
L1 Long's future price is the expected price of L1 Long 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 L1 Long Short performance during a given time horizon utilizing its historical volatility. Check out L1 Long Backtesting, L1 Long Valuation, L1 Long Correlation, L1 Long Hype Analysis, L1 Long Volatility, L1 Long History as well as L1 Long Performance.
  
Please specify L1 Long's target price for which you would like L1 Long odds to be computed.

L1 Long Target Price Odds to finish below 1.86

The tendency of LSF 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 drop to  1.86  or more in 90 days
 3.05 90 days 1.86 
near 1
Based on a normal probability distribution, the odds of L1 Long to drop to  1.86  or more in 90 days from now is near 1 (This L1 Long Short probability density function shows the probability of LSF Stock to fall within a particular range of prices over 90 days) . Probability of L1 Long Short price to stay between  1.86  and its current price of 3.05 at the end of the 90-day period is about 45.09 .
Assuming the 90 days trading horizon L1 Long has a beta of 0.44. This indicates as returns on the market go up, L1 Long average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding L1 Long Short will be expected to be much smaller as well. Additionally L1 Long Short has an alpha of 0.0105, implying that it can generate a 0.0105 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta).
   L1 Long Price Density   
       Price  

Predictive Modules for L1 Long

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as L1 Long Short. 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
1.633.054.47
Details
Intrinsic
Valuation
LowRealHigh
1.633.054.47
Details
Naive
Forecast
LowNextHigh
1.613.034.45
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
3.013.103.18
Details

L1 Long Risk Indicators

For the most part, the last 10-20 years have been a very volatile time for the stock market. L1 Long is not an exception. The market had few large corrections towards the L1 Long'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 L1 Long Short, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of L1 Long within the framework of very fundamental risk indicators.
α
Alpha over Dow Jones
0.01
β
Beta against Dow Jones0.44
σ
Overall volatility
0.08
Ir
Information ratio -0.04

L1 Long 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 L1 Long for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for L1 Long Short can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.
L1 Long Short generated a negative expected return over the last 90 days
L1 Long generates negative cash flow from operations
About 20.0% of the company outstanding shares are owned by corporate insiders
Latest headline from news.google.com: NexGen Energy Ltd. Slid on Decline in Uranium Prices - Yahoo Finance

L1 Long 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 LSF Stock often depends not only on the future outlook of the current and potential L1 Long'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. L1 Long's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding619.4 M
Cash And Short Term Investments4.4 B

L1 Long Technical Analysis

L1 Long's future price can be derived by breaking down and analyzing its technical indicators over time. LSF Stock technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of L1 Long Short. In general, you should focus on analyzing LSF Stock price patterns and their correlations with different microeconomic environments and drivers.

L1 Long Predictive Forecast Models

L1 Long's time-series forecasting models is one of many L1 Long'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 L1 Long'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 L1 Long Short

Checking the ongoing alerts about L1 Long for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for L1 Long Short help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
L1 Long Short generated a negative expected return over the last 90 days
L1 Long generates negative cash flow from operations
About 20.0% of the company outstanding shares are owned by corporate insiders
Latest headline from news.google.com: NexGen Energy Ltd. Slid on Decline in Uranium Prices - Yahoo Finance

Additional Tools for LSF Stock Analysis

When running L1 Long's price analysis, check to measure L1 Long'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 L1 Long is operating at the current time. Most of L1 Long's value examination focuses on studying past and present price action to predict the probability of L1 Long's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move L1 Long's price. Additionally, you may evaluate how the addition of L1 Long to your portfolios can decrease your overall portfolio volatility.