Altura Energy Stock Market Value
| ATUUF Stock | USD 9.00 0.21 2.28% |
| Symbol | Altura |
Altura Energy '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 Altura Energy'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 Altura Energy.
| 03/12/2023 |
| 03/01/2025 |
If you would invest 0.00 in Altura Energy on March 12, 2023 and sell it all today you would earn a total of 0.00 from holding Altura Energy or generate 0.0% return on investment in Altura Energy over 720 days. Altura Energy is related to or competes with Barrister Energy, and Arrow Exploration. Tenaz Energy Corp., an energy company, engages in the acquisition and development of oil and gas assets in central Alber... More
Altura Energy 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 Altura Energy'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 Altura Energy upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 15.74 | |||
| Value At Risk | (3.86) | |||
| Potential Upside | 5.3 |
Altura Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Altura Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Altura Energy's standard deviation. In reality, there are many statistical measures that can use Altura Energy historical prices to predict the future Altura Energy's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.15) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | 1.1 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Altura Energy'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.
Altura Energy Backtested Returns
Altura Energy secures Sharpe Ratio (or Efficiency) of -0.0467, which signifies that the company had a -0.0467 % return per unit of risk over the last 3 months. Altura Energy exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm Altura Energy's Risk Adjusted Performance of (0.03), mean deviation of 2.08, and Standard Deviation of 2.89 to double-check the risk estimate we provide. The firm shows a Beta (market volatility) of -0.13, which signifies not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Altura Energy are expected to decrease at a much lower rate. During the bear market, Altura Energy is likely to outperform the market. At this point, Altura Energy has a negative expected return of -0.14%. Please make sure to confirm Altura Energy's treynor ratio, kurtosis, as well as the relationship between the Kurtosis and day typical price , to decide if Altura Energy performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.78 |
Good predictability
Altura Energy has good predictability. Overlapping area represents the amount of predictability between Altura Energy time series from 12th of March 2023 to 6th of March 2024 and 6th of March 2024 to 1st of March 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 Altura Energy price movement. The serial correlation of 0.78 indicates that around 78.0% of current Altura Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.78 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 8.63 |
Altura Energy lagged returns against current returns
Autocorrelation, which is Altura Energy 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 Altura Energy's pink sheet expected returns. We can calculate the autocorrelation of Altura Energy returns to help us make a trade decision. For example, suppose you find that Altura Energy 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 |
Altura Energy 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 Altura Energy pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Altura Energy pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Altura Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Altura Energy Lagged Returns
When evaluating Altura Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Altura Energy pink sheet have on its future price. Altura Energy 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, Altura Energy autocorrelation shows the relationship between Altura Energy pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Altura Energy.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Altura Pink Sheet
Altura Energy financial ratios help investors to determine whether Altura Pink Sheet 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 Altura with respect to the benefits of owning Altura Energy security.