Canadian Natural Resources Stock Overlap Studies Midpoint Price over period
| CNQ Stock | USD 30.02 0.44 1.49% |
| Symbol |
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 Mid-point Price over period is an average of Canadian Natural Res highest and lowest prices attained during the given period.
Canadian Natural Technical Analysis Modules
Most technical analysis of Canadian Natural 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 Canadian from various momentum indicators to cycle indicators. When you analyze Canadian 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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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Canadian Natural 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 Canadian Natural Resources. We use our internally-developed statistical techniques to arrive at the intrinsic value of Canadian Natural Resources based on widely used predictive technical indicators. In general, we focus on analyzing Canadian Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Canadian Natural'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 Canadian Natural's intrinsic value. In addition to deriving basic predictive indicators for Canadian Natural, we also check how macroeconomic factors affect Canadian Natural price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2021 | 2022 | 2023 | 2024 (projected) | Dividend Yield | 0.0344 | 0.0577 | 0.0411 | 0.0431 | Price To Sales Ratio | 1.92 | 1.72 | 2.63 | 3.97 |
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Canadian Natural in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Canadian Natural's short interest history, or implied volatility extrapolated from Canadian Natural options trading.
Trending Themes
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Additional Tools for Canadian Stock Analysis
When running Canadian Natural's price analysis, check to measure Canadian Natural'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 Canadian Natural is operating at the current time. Most of Canadian Natural's value examination focuses on studying past and present price action to predict the probability of Canadian Natural's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Canadian Natural's price. Additionally, you may evaluate how the addition of Canadian Natural to your portfolios can decrease your overall portfolio volatility.