General Mills Stock Overlap Studies Double Exponential Moving Average
| GIS Stock | USD 66.23 0.24 0.36% |
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The output start index for this execution was fourty-six with a total number of output elements of fifteen. 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 General Mills changes than the simple moving average.
General Mills Technical Analysis Modules
Most technical analysis of General Mills 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 General from various momentum indicators to cycle indicators. When you analyze General 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 General Mills 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 General Mills. We use our internally-developed statistical techniques to arrive at the intrinsic value of General Mills based on widely used predictive technical indicators. In general, we focus on analyzing General Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build General Mills'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 General Mills's intrinsic value. In addition to deriving basic predictive indicators for General Mills, we also check how macroeconomic factors affect General Mills price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2011 | 2014 | 2019 | 2024 (projected) | Dividend Yield | 0.0291 | 0.0373 | 0.0347 | 0.0309 | Price To Sales Ratio | 1.89 | 1.88 | 1.98 | 2.19 |
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 General Mills 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, General Mills' short interest history, or implied volatility extrapolated from General Mills options trading.
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Additional Tools for General Stock Analysis
When running General Mills' price analysis, check to measure General Mills' 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 General Mills is operating at the current time. Most of General Mills' value examination focuses on studying past and present price action to predict the probability of General Mills' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move General Mills' price. Additionally, you may evaluate how the addition of General Mills to your portfolios can decrease your overall portfolio volatility.