Prairie Operating Co Stock Market Value
| PROP Stock | USD 8.77 0.56 6.82% |
| Symbol | Prairie |
Prairie Operating '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 Prairie Operating's otc stock 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 Prairie Operating.
| 10/26/2024 |
| 11/25/2024 |
If you would invest 0.00 in Prairie Operating on October 26, 2024 and sell it all today you would earn a total of 0.00 from holding Prairie Operating Co or generate 0.0% return on investment in Prairie Operating over 30 days. Prairie Operating is related to or competes with Raymond James, Charles Schwab, Charles Schwab, Top KingWin, BitFuFu Warrant, Stifel Financial, and Stifel Financial. Pledge Petroleum Corp. intends to produce renewable diesel fuel and biochar More
Prairie Operating 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 Prairie Operating's otc stock 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 Prairie Operating Co upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.55 | |||
| Information Ratio | (0) | |||
| Maximum Drawdown | 26.59 | |||
| Value At Risk | (8.14) | |||
| Potential Upside | 10.76 |
Prairie Operating Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Prairie Operating's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Prairie Operating's standard deviation. In reality, there are many statistical measures that can use Prairie Operating historical prices to predict the future Prairie Operating's volatility.| Risk Adjusted Performance | 0.0258 | |||
| Jensen Alpha | (0.22) | |||
| Total Risk Alpha | (0.75) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0414 |
Prairie Operating Backtested Returns
Currently, Prairie Operating Co is moderately volatile. Prairie Operating maintains Sharpe Ratio (i.e., Efficiency) of 0.0251, which implies the firm had a 0.0251% return per unit of risk over the last 3 months. We have found thirty technical indicators for Prairie Operating, which you can use to evaluate the volatility of the company. Please check Prairie Operating's Coefficient Of Variation of 4463.89, semi deviation of 4.3, and Risk Adjusted Performance of 0.0258 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. Prairie Operating has a performance score of 1 on a scale of 0 to 100. The company holds a Beta of 2.71, which implies 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, Prairie Operating will likely underperform. Prairie Operating right now holds a risk of 5.5%. Please check Prairie Operating potential upside, and the relationship between the jensen alpha and accumulation distribution , to decide if Prairie Operating will be following its historical price patterns.
Auto-correlation | -0.03 |
Very weak reverse predictability
Prairie Operating Co has very weak reverse predictability. Overlapping area represents the amount of predictability between Prairie Operating time series from 26th of October 2024 to 10th of November 2024 and 10th of November 2024 to 25th of November 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 Prairie Operating price movement. The serial correlation of -0.03 indicates that only 3.0% of current Prairie Operating price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.03 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.18 |
Prairie Operating lagged returns against current returns
Autocorrelation, which is Prairie Operating otc stock'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 Prairie Operating's otc stock expected returns. We can calculate the autocorrelation of Prairie Operating returns to help us make a trade decision. For example, suppose you find that Prairie Operating has exhibited high autocorrelation historically, and you observe that the otc stock 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 |
Prairie Operating 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 Prairie Operating otc stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Prairie Operating otc stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Prairie Operating otc stock over time.
Current vs Lagged Prices |
| Timeline |
Prairie Operating Lagged Returns
When evaluating Prairie Operating's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Prairie Operating otc stock have on its future price. Prairie Operating 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, Prairie Operating autocorrelation shows the relationship between Prairie Operating otc stock current value and its past values and can show if there is a momentum factor associated with investing in Prairie Operating Co.
Regressed Prices |
| Timeline |
Pair Trading with Prairie Operating
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 Prairie Operating 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 Prairie Operating will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Prairie Operating could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Prairie Operating 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 Prairie Operating - 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 Prairie Operating Co to buy it.
The correlation of Prairie Operating 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 Prairie Operating moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Prairie Operating 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 Prairie Operating 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 Prairie OTC Stock Analysis
When running Prairie Operating's price analysis, check to measure Prairie Operating'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 Prairie Operating is operating at the current time. Most of Prairie Operating's value examination focuses on studying past and present price action to predict the probability of Prairie Operating's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Prairie Operating's price. Additionally, you may evaluate how the addition of Prairie Operating to your portfolios can decrease your overall portfolio volatility.