New York Life Etf Technical Analysis
| MMSD Etf | 25.45 0.01 0.04% |
As of the 27th of December, New York secures the Coefficient Of Variation of 1326.63, risk adjusted performance of (0.04), and Mean Deviation of 0.0554. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of New York Life, as well as the relationship between them. Please verify New York Life treynor ratio, downside variance, as well as the relationship between the Downside Variance and kurtosis to decide if New York Life is priced some-what accurately, providing market reflects its recent price of 25.45 per share.
New York Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as New, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to NewNew York's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.New York technical etf 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, etf market cycles, or different charting patterns.
New York Life Technical Analysis
The output start index for this execution was sixty with a total number of output elements of one. The Normalized Average True Range is used to analyze tradable apportunities for New York Life across different markets.
New York Life Trend Analysis
Use this graph to draw trend lines for New York Life. You can use it to identify possible trend reversals for New York 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 New York price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.New York Best Fit Change Line
The following chart estimates an ordinary least squares regression model for New York Life applied against its price change over selected period. The best fit line has a slop of 0 , which means New York Life will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.17, which is the sum of squared deviations for the predicted New York price change compared to its average price change.About New York 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 New York Life 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 New York Life based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on New York Life price pattern first instead of the macroeconomic environment surrounding New York Life. By analyzing New York'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 New York'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 New York specific price patterns or momentum indicators. Please read more on our technical analysis page.
New York December 27, 2025 Technical Indicators
Most technical analysis of New 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 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 | (0.04) | |||
| Market Risk Adjusted Performance | (0.31) | |||
| Mean Deviation | 0.0554 | |||
| Downside Deviation | 0.0793 | |||
| Coefficient Of Variation | 1326.63 | |||
| Standard Deviation | 0.0715 | |||
| Variance | 0.0051 | |||
| Information Ratio | (1.12) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (1.01) | |||
| Treynor Ratio | (0.32) | |||
| Maximum Drawdown | 0.3156 | |||
| Value At Risk | (0.12) | |||
| Potential Upside | 0.1185 | |||
| Downside Variance | 0.0063 | |||
| Semi Variance | (0) | |||
| Expected Short fall | (0.07) | |||
| Skewness | 0.0322 | |||
| Kurtosis | 0.0107 |
New York December 27, 2025 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 New 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 | 0.00 | ||
| Daily Balance Of Power | 0.33 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 25.46 | ||
| Day Typical Price | 25.45 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0.03 |
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in New York Life. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in real. You can also try the Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
The market value of New York Life 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.