Truxton Stock Odds of Future Pink Sheet Price Finishing Under 73.41
| TRUX Stock | USD 73.55 0.45 0.61% |
Truxton |
Truxton Target Price Odds to finish below 73.41
The tendency of Truxton 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 drop to $ 73.41 or more in 90 days |
| 73.55 | 90 days | 73.41 | about 83.85 |
Based on a normal probability distribution, the odds of Truxton to drop to $ 73.41 or more in 90 days from now is about 83.85 (This Truxton probability density function shows the probability of Truxton Pink Sheet to fall within a particular range of prices over 90 days) . Probability of Truxton price to stay between $ 73.41 and its current price of $73.55 at the end of the 90-day period is about 1.93 .
Given the investment horizon of 90 days Truxton has a beta of 0.13. This usually implies as returns on the market go up, Truxton average returns are expected to increase less than the benchmark. However, during the bear market, the loss on holding Truxton will be expected to be much smaller as well. Additionally Truxton has an alpha of 0.1199, implying that it can generate a 0.12 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). Truxton Price Density |
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Predictive Modules for Truxton
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Truxton. 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 Truxton'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.
Truxton Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. Truxton is not an exception. The market had few large corrections towards the Truxton'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 Truxton, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of Truxton within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.12 | |
β | Beta against Dow Jones | 0.13 | |
σ | Overall volatility | 1.68 | |
Ir | Information ratio | 0.02 |
Truxton Technical Analysis
Truxton's future price can be derived by breaking down and analyzing its technical indicators over time. Truxton Pink Sheet technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Truxton. In general, you should focus on analyzing Truxton Pink Sheet price patterns and their correlations with different microeconomic environments and drivers.
Truxton Predictive Forecast Models
Truxton's time-series forecasting models is one of many Truxton'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 Truxton'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 Truxton 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, Truxton's short interest history, or implied volatility extrapolated from Truxton options trading.
Additional Tools for Truxton Pink Sheet Analysis
When running Truxton's price analysis, check to measure Truxton'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 Truxton is operating at the current time. Most of Truxton's value examination focuses on studying past and present price action to predict the probability of Truxton's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Truxton's price. Additionally, you may evaluate how the addition of Truxton to your portfolios can decrease your overall portfolio volatility.