Borealis Foods Stock Technical Analysis
BRLSW Stock | 0.11 0.01 10.00% |
As of the 18th of January 2025, Borealis Foods shows the Downside Deviation of 6.09, risk adjusted performance of 0.1226, and Mean Deviation of 4.28. Borealis Foods technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the firm's future prices. Please confirm Borealis Foods standard deviation, value at risk, as well as the relationship between the Value At Risk and kurtosis to decide if Borealis Foods is priced correctly, providing market reflects its regular price of 0.11 per share. As Borealis Foods appears to be a penny stock we also recommend to validate its total risk alpha numbers.
Borealis Foods Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Borealis, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BorealisBorealis |
Borealis Foods technical stock 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, stock market cycles, or different charting patterns.
Borealis Foods Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Borealis Foods volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Borealis Foods Trend Analysis
Use this graph to draw trend lines for Borealis Foods. You can use it to identify possible trend reversals for Borealis Foods as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Borealis Foods price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Borealis Foods Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Borealis Foods applied against its price change over selected period. The best fit line has a slop of 0.0006 , which means Borealis Foods will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted Borealis Foods price change compared to its average price change.About Borealis Foods Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Borealis Foods on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Borealis Foods based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Borealis Foods price pattern first instead of the macroeconomic environment surrounding Borealis Foods. By analyzing Borealis Foods's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Borealis Foods's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Borealis Foods specific price patterns or momentum indicators. Please read more on our technical analysis page.
2022 | 2024 | 2025 (projected) | Days Sales Outstanding | 36.98 | 42.53 | 51.76 | PTB Ratio | 48.68 | 5.85 | 5.56 |
Borealis Foods January 18, 2025 Technical Indicators
Most technical analysis of Borealis 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 different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
Cycle Indicators | ||
Math Operators | ||
Math Transform | ||
Momentum Indicators | ||
Overlap Studies | ||
Pattern Recognition | ||
Price Transform | ||
Statistic Functions | ||
Volatility Indicators | ||
Volume Indicators |
Risk Adjusted Performance | 0.1226 | |||
Market Risk Adjusted Performance | (16.49) | |||
Mean Deviation | 4.28 | |||
Semi Deviation | 4.51 | |||
Downside Deviation | 6.09 | |||
Coefficient Of Variation | 733.63 | |||
Standard Deviation | 6.46 | |||
Variance | 41.77 | |||
Information Ratio | 0.1317 | |||
Jensen Alpha | 0.872 | |||
Total Risk Alpha | 0.7187 | |||
Sortino Ratio | 0.1397 | |||
Treynor Ratio | (16.50) | |||
Maximum Drawdown | 41.04 | |||
Value At Risk | (6.73) | |||
Potential Upside | 12.59 | |||
Downside Variance | 37.12 | |||
Semi Variance | 20.33 | |||
Expected Short fall | (5.45) | |||
Skewness | 0.6671 | |||
Kurtosis | 3.16 |
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.