Borealis Foods Stock Overlap Studies Double Exponential Moving Average
| BRLSW Stock | 0.06 0.03 32.43% |
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Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to Borealis Foods changes than the simple moving average.
Borealis Foods Technical Analysis Modules
Most technical analysis of Borealis Foods help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Borealis from various momentum indicators to cycle indicators. When you analyze Borealis charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
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About Borealis Foods Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Borealis Foods. We use our internally-developed statistical techniques to arrive at the intrinsic value of Borealis Foods based on widely used predictive technical indicators. In general, we focus on analyzing Borealis Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Borealis Foods's daily price indicators and compare them against related drivers, such as overlap studies and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Borealis Foods's intrinsic value. In addition to deriving basic predictive indicators for Borealis Foods, we also check how macroeconomic factors affect Borealis Foods price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2010 | 2022 | 2023 | 2024 (projected) | Days Sales Outstanding | 57.13 | 36.98 | 42.53 | 51.76 | PTB Ratio | 7.69 | 48.68 | 5.09 | 4.84 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Borealis Foods' 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.
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Borealis Foods pair trading
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 Borealis Foods 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 Borealis Foods will appreciate offsetting losses from the drop in the long position's value.Borealis Foods Pair Trading
Borealis Foods Pair Trading Analysis
The ability to find closely correlated positions to Borealis Foods could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Borealis Foods 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 Borealis Foods - 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 Borealis Foods to buy it.
The correlation of Borealis Foods 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 Borealis Foods moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Borealis Foods 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 Borealis Foods 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 Borealis Stock Analysis
When running Borealis Foods' price analysis, check to measure Borealis Foods' 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 Borealis Foods is operating at the current time. Most of Borealis Foods' value examination focuses on studying past and present price action to predict the probability of Borealis Foods' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Borealis Foods' price. Additionally, you may evaluate how the addition of Borealis Foods to your portfolios can decrease your overall portfolio volatility.