Baytex Energy Corp Stock Technical Analysis
| BTE Stock | CAD 3.98 0.02 0.50% |
As of the 30th of November, Baytex Energy shows the Standard Deviation of 2.52, risk adjusted performance of (0.07), and Mean Deviation of 1.98. Baytex Energy Corp 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.
Baytex Energy Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Baytex, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to BaytexBaytex |
Baytex Energy 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.
Baytex Energy Corp Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Baytex Energy Corp volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Baytex Energy Corp Trend Analysis
Use this graph to draw trend lines for Baytex Energy Corp. You can use it to identify possible trend reversals for Baytex Energy 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 Baytex Energy price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Baytex Energy Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Baytex Energy Corp applied against its price change over selected period. The best fit line has a slop of 0.002 , which may suggest that Baytex Energy Corp market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.15, which is the sum of squared deviations for the predicted Baytex Energy price change compared to its average price change.About Baytex Energy 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 Baytex Energy Corp 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 Baytex Energy Corp based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Baytex Energy Corp price pattern first instead of the macroeconomic environment surrounding Baytex Energy Corp. By analyzing Baytex Energy'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 Baytex Energy'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 Baytex Energy specific price patterns or momentum indicators. Please read more on our technical analysis page.
| 2023 | 2024 (projected) | Dividend Yield | 0.0109 | 0.0104 | Price To Sales Ratio | 0.92 | 0.87 |
Baytex Energy November 30, 2024 Technical Indicators
Most technical analysis of Baytex 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 Baytex from various momentum indicators to cycle indicators. When you analyze Baytex 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 | (0.07) | |||
| Market Risk Adjusted Performance | 33.52 | |||
| Mean Deviation | 1.98 | |||
| Coefficient Of Variation | (976.64) | |||
| Standard Deviation | 2.52 | |||
| Variance | 6.35 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (0.27) | |||
| Total Risk Alpha | (0.69) | |||
| Treynor Ratio | 33.51 | |||
| Maximum Drawdown | 10.76 | |||
| Value At Risk | (4.00) | |||
| Potential Upside | 4.22 | |||
| Skewness | (0.41) | |||
| Kurtosis | 0.26 |
Baytex Energy November 30, 2024 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Baytex stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 38,732 | ||
| Daily Balance Of Power | (0.40) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 3.99 | ||
| Day Typical Price | 3.98 | ||
| Price Action Indicator | (0.01) |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Baytex Energy Corp. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.