New York Times Stock Volume Indicators Chaikin AD Line
| NYT Stock | USD 49.63 0.26 0.52% |
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Indicator |
The output start index for this execution was zero with a total number of output elements of sixty-one. The Accumulation/Distribution line was developed by Marc Chaikin. It is interpreted by looking at a divergence in the direction of the indicator relative to New York price. If the Accumulation/Distribution Line is trending upward it indicates that the price may follow. If the Accumulation/Distribution Line becomes flat while New York Times price is still rising (or falling) then it signals a flattening of the price values.
New York Technical Analysis Modules
Most technical analysis of New York 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 New from various momentum indicators to cycle indicators. When you analyze New 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 New York 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 New York Times. We use our internally-developed statistical techniques to arrive at the intrinsic value of New York Times based on widely used predictive technical indicators. In general, we focus on analyzing New Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build New York's daily price indicators and compare them against related drivers, such as volume indicators 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 New York's intrinsic value. In addition to deriving basic predictive indicators for New York, we also check how macroeconomic factors affect New York price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
| 2017 | 2021 | 2023 | 2024 (projected) | Dividend Yield | 0.008681 | 0.0105 | 0.008608 | 0.008178 | Price To Sales Ratio | 1.79 | 2.35 | 3.33 | 3.49 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of New York's 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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Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in New York Times. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in manufacturing. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
Complementary Tools for New Stock analysis
When running New York's price analysis, check to measure New York'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 New York is operating at the current time. Most of New York's value examination focuses on studying past and present price action to predict the probability of New York's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move New York's price. Additionally, you may evaluate how the addition of New York to your portfolios can decrease your overall portfolio volatility.
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Is New York's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of New York. If investors know New will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about New York listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.846 | Dividend Share 0.46 | Earnings Share 1.51 | Revenue Per Share 14.778 | Quarterly Revenue Growth 0.061 |
The market value of New York Times is measured differently than its book value, which is the value of New that is recorded on the company's balance sheet. Investors also form their own opinion of New York's value that differs from its market value or its book value, called intrinsic value, which is New York's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because New York's market value can be influenced by many factors that don't directly affect New York's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between New York's value and its price as these two are different measures arrived at by different means. Investors typically determine if New York is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, New York's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.