New York Times Stock Momentum Indicators Momentum
| NYT Stock | USD 50.90 0.19 0.37% |
| Symbol |
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Momentum indicator shows the difference between current closing price of New York Times and New York close price N days ago.
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 | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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 momentum 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.
Be your own money manager
As an individual investor, you need to find a reliable way to track all your investment portfolios' performance accurately. However, your requirements will often be based on how much of the process you decide to do yourself. In addition to allowing you full analytical transparency into your positions, our tools can tell you how much better you can do without increasing your risk or reducing expected return.Generate Optimal Portfolios
Align your risk and return expectations
Additional 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.