Petroteq Energy Stock Market Value
Petroteq Energy's market value is the price at which a share of Petroteq Energy trades on a public exchange. It measures the collective expectations of Petroteq Energy investors about its performance. With this module, you can estimate the performance of a buy and hold strategy of Petroteq Energy and determine expected loss or profit from investing in Petroteq Energy over a given investment horizon. Check out Petroteq Energy Correlation, Petroteq Energy Volatility and Petroteq Energy Alpha and Beta module to complement your research on Petroteq Energy.
| Symbol | Petroteq |
Petroteq 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 Petroteq 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 Petroteq Energy.
| 03/20/2024 |
| 04/19/2024 |
If you would invest 0.00 in Petroteq Energy on March 20, 2024 and sell it all today you would earn a total of 0.00 from holding Petroteq Energy or generate 0.0% return on investment in Petroteq Energy over 30 days. Petroteq Energy is related to or competes with Compania, McEwen Mining, Endeavour Silver, Hecla Mining, and SilverCrest Metals. Petroteq Energy Inc., through its subsidiaries, engages in the oil sands mining and processing operations in the United ... More
Petroteq 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 Petroteq 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 Petroteq Energy upside and downside potential and time the market with a certain degree of confidence.
Petroteq Energy Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Petroteq Energy's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Petroteq Energy's standard deviation. In reality, there are many statistical measures that can use Petroteq Energy historical prices to predict the future Petroteq Energy's volatility.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Petroteq 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.
Petroteq Energy Backtested Returns
We have found zero technical indicators for Petroteq Energy, which you can use to evaluate the volatility of the company. The company holds a Beta of 0.0, which implies not very significant fluctuations relative to the market. the returns on MARKET and Petroteq Energy are completely uncorrelated.
Auto-correlation | 0.00 |
No correlation between past and present
Petroteq Energy has no correlation between past and present. Overlapping area represents the amount of predictability between Petroteq Energy time series from 20th of March 2024 to 4th of April 2024 and 4th of April 2024 to 19th of April 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Petroteq Energy price movement. The serial correlation of 0.0 indicates that just 0.0% of current Petroteq Energy price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Petroteq Energy lagged returns against current returns
Autocorrelation, which is Petroteq 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 Petroteq Energy's pink sheet expected returns. We can calculate the autocorrelation of Petroteq Energy returns to help us make a trade decision. For example, suppose you find that Petroteq 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 |
Petroteq 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 Petroteq Energy pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Petroteq 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 Petroteq Energy pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Petroteq Energy Lagged Returns
When evaluating Petroteq Energy's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Petroteq Energy pink sheet have on its future price. Petroteq 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, Petroteq Energy autocorrelation shows the relationship between Petroteq Energy pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Petroteq Energy.
Regressed Prices |
| Timeline |
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 Petroteq Energy 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, Petroteq Energy's short interest history, or implied volatility extrapolated from Petroteq Energy options trading.
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Check out Petroteq Energy Correlation, Petroteq Energy Volatility and Petroteq Energy Alpha and Beta module to complement your research on Petroteq Energy. Note that the Petroteq Energy information on this page should be used as a complementary analysis to other Petroteq Energy's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Complementary Tools for Petroteq Pink Sheet analysis
When running Petroteq Energy's price analysis, check to measure Petroteq Energy'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 Petroteq Energy is operating at the current time. Most of Petroteq Energy's value examination focuses on studying past and present price action to predict the probability of Petroteq Energy's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Petroteq Energy's price. Additionally, you may evaluate how the addition of Petroteq Energy to your portfolios can decrease your overall portfolio volatility.
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Petroteq Energy technical pink sheet analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, pink sheet market cycles, or different charting patterns.