H2o Retailing Stock Probability of Future Pink Sheet Price Finishing Over 9.9
| HTOCF Stock | 10.00 0.00 0.00% |
H2O |
H2O Retailing Target Price Odds to finish over 9.9
The tendency of H2O Pink Sheet 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 Price | Horizon | Target Price | Odds to stay above 9.90 in 90 days |
| 10.00 | 90 days | 9.90 | about 81.37 |
Based on a normal probability distribution, the odds of H2O Retailing to stay above 9.90 in 90 days from now is about 81.37 (This H2O Retailing probability density function shows the probability of H2O Pink Sheet to fall within a particular range of prices over 90 days) . Probability of H2O Retailing price to stay between 9.90 and its current price of 10.0 at the end of the 90-day period is about 53.75 .
Assuming the 90 days horizon H2O Retailing has a beta of 0.0049. This usually indicates as returns on the market go up, H2O Retailing average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding H2O Retailing will be expected to be much smaller as well. Additionally H2O Retailing has an alpha of 0.0127, implying that it can generate a 0.0127 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). H2O Retailing Price Density |
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Predictive Modules for H2O Retailing
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as H2O Retailing. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet 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 H2O Retailing'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.
H2O Retailing Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. H2O Retailing is not an exception. The market had few large corrections towards the H2O Retailing'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 H2O Retailing, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of H2O Retailing within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.01 | |
β | Beta against Dow Jones | 0 | |
σ | Overall volatility | 0.07 | |
Ir | Information ratio | -0.29 |
H2O Retailing Technical Analysis
H2O Retailing's future price can be derived by breaking down and analyzing its technical indicators over time. H2O Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of H2O Retailing. In general, you should focus on analyzing H2O Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
H2O Retailing Predictive Forecast Models
H2O Retailing's time-series forecasting models is one of many H2O Retailing's pink sheet 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 H2O Retailing'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 pink sheet market movement and maximize returns from investment trading.
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 H2O Retailing 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, H2O Retailing's short interest history, or implied volatility extrapolated from H2O Retailing options trading.