Enterra Stock Market Value
| ETER Stock | USD 0.04 0.00 0.00% |
| Symbol | Enterra |
Enterra 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Enterra's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Enterra.
| 11/29/2025 |
| 12/29/2025 |
If you would invest 0.00 in Enterra on November 29, 2025 and sell it all today you would earn a total of 0.00 from holding Enterra or generate 0.0% return on investment in Enterra over 30 days. Enterra is related to or competes with Wright Investors. Enterra Corporation provides mobile solutions for the restaurant-wine industry in the United States More
Enterra Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Enterra's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Enterra upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0175 | |||
| Maximum Drawdown | 161.2 |
Enterra Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Enterra's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Enterra's standard deviation. In reality, there are many statistical measures that can use Enterra historical prices to predict the future Enterra's volatility.| Risk Adjusted Performance | 0.0258 | |||
| Jensen Alpha | 0.187 | |||
| Total Risk Alpha | (1.30) | |||
| Treynor Ratio | 0.1648 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Enterra'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.
Enterra Backtested Returns
Enterra appears to be out of control, given 3 months investment horizon. Enterra secures Sharpe Ratio (or Efficiency) of 0.0236, which denotes the company had a 0.0236 % return per unit of risk over the last 3 months. We have found seventeen technical indicators for Enterra, which you can use to evaluate the volatility of the firm. Please utilize Enterra's Mean Deviation of 3.3, standard deviation of 15.32, and Variance of 234.73 to check if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Enterra holds a performance score of 1. The firm shows a Beta (market volatility) of 2.09, which means a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Enterra will likely underperform. Please check Enterra's jensen alpha and day median price , to make a quick decision on whether Enterra's price patterns will revert.
Auto-correlation | -0.61 |
Very good reverse predictability
Enterra has very good reverse predictability. Overlapping area represents the amount of predictability between Enterra time series from 29th of November 2025 to 14th of December 2025 and 14th of December 2025 to 29th of December 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Enterra price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current Enterra price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.61 | |
| Spearman Rank Test | 0.09 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Enterra lagged returns against current returns
Autocorrelation, which is Enterra pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Enterra's pink sheet expected returns. We can calculate the autocorrelation of Enterra returns to help us make a trade decision. For example, suppose you find that Enterra has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Enterra regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Enterra pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Enterra pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Enterra pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Enterra Lagged Returns
When evaluating Enterra's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Enterra pink sheet have on its future price. Enterra autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Enterra autocorrelation shows the relationship between Enterra pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Enterra.
Regressed Prices |
| Timeline |
Pair Trading with Enterra
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Enterra position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Enterra will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Enterra could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Enterra when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Enterra - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Enterra to buy it.
The correlation of Enterra is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Enterra moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Enterra moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Enterra can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Additional Tools for Enterra Pink Sheet Analysis
When running Enterra's price analysis, check to measure Enterra'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 Enterra is operating at the current time. Most of Enterra's value examination focuses on studying past and present price action to predict the probability of Enterra's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Enterra's price. Additionally, you may evaluate how the addition of Enterra to your portfolios can decrease your overall portfolio volatility.