Daybreak Oil And Stock Market Value
| DBRM Stock | USD 0.0001 0.00 0.00% |
| Symbol | Daybreak |
Daybreak Oil '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 Daybreak Oil'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 Daybreak Oil.
| 04/27/2025 |
| 07/26/2025 |
If you would invest 0.00 in Daybreak Oil on April 27, 2025 and sell it all today you would earn a total of 0.00 from holding Daybreak Oil and or generate 0.0% return on investment in Daybreak Oil over 90 days. Daybreak Oil is related to or competes with Altura Energy, Arrow Exploration, Laredo Oil, and Altex Industries. Daybreak Oil and Gas, Inc. engages in the exploration, development, and production of crude oil and natural gas in the U... More
Daybreak Oil 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 Daybreak Oil'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 Daybreak Oil and upside and downside potential and time the market with a certain degree of confidence.
Daybreak Oil Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Daybreak Oil's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Daybreak Oil's standard deviation. In reality, there are many statistical measures that can use Daybreak Oil historical prices to predict the future Daybreak Oil's volatility.Daybreak Oil Backtested Returns
We have found three technical indicators for Daybreak Oil and, which you can use to evaluate the volatility of the firm. The firm shows a Beta (market volatility) of 0.0, which means not very significant fluctuations relative to the market. the returns on MARKET and Daybreak Oil are completely uncorrelated.
Auto-correlation | 1.00 |
Perfect predictability
Daybreak Oil and has perfect predictability. Overlapping area represents the amount of predictability between Daybreak Oil time series from 27th of April 2025 to 11th of June 2025 and 11th of June 2025 to 26th of July 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 Daybreak Oil price movement. The serial correlation of 1.0 indicates that 100.0% of current Daybreak Oil price fluctuation can be explain by its past prices.
| Correlation Coefficient | 1.0 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Daybreak Oil lagged returns against current returns
Autocorrelation, which is Daybreak Oil 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 Daybreak Oil's pink sheet expected returns. We can calculate the autocorrelation of Daybreak Oil returns to help us make a trade decision. For example, suppose you find that Daybreak Oil 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 |
Daybreak Oil 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 Daybreak Oil pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Daybreak Oil pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Daybreak Oil pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Daybreak Oil Lagged Returns
When evaluating Daybreak Oil's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Daybreak Oil pink sheet have on its future price. Daybreak Oil 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, Daybreak Oil autocorrelation shows the relationship between Daybreak Oil pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Daybreak Oil and.
Regressed Prices |
| Timeline |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ProphetOther Information on Investing in Daybreak Pink Sheet
Daybreak Oil financial ratios help investors to determine whether Daybreak 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 Daybreak with respect to the benefits of owning Daybreak Oil security.