New York Life Etf Technical Analysis
| MMMA Etf | 25.57 0.07 0.27% |
As of the 3rd of March, New York secures the Coefficient Of Variation of 285.13, mean deviation of 0.1321, and Risk Adjusted Performance of 0.233. 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.
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 Life's market price often diverges from its book value, the accounting figure shown on New's balance sheet. Smart investors calculate New York's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Since New York's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Understanding that New York's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether New York represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. 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.
New York 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to New York's etf what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of New York.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in New York on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding New York Life or generate 0.0% return on investment in New York over 90 days. New York is related to or competes with SSGA Active, SPDR Nuveen, IShares Short, First Trust, MFS Active, Mairs Power, and PIMCO ETF. New York is entity of United States. It is traded as Etf on NYSE ARCA exchange. More
New York Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure New York's etf current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess New York Life upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1989 | |||
| Information Ratio | (0.13) | |||
| Maximum Drawdown | 0.7184 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.3157 |
New York Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for New York's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as New York's standard deviation. In reality, there are many statistical measures that can use New York historical prices to predict the future New York's volatility.| Risk Adjusted Performance | 0.233 | |||
| Jensen Alpha | 0.0517 | |||
| Total Risk Alpha | 0.0336 | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | (1.44) |
New York March 3, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.233 | |||
| Market Risk Adjusted Performance | (1.43) | |||
| Mean Deviation | 0.1321 | |||
| Downside Deviation | 0.1989 | |||
| Coefficient Of Variation | 285.13 | |||
| Standard Deviation | 0.1691 | |||
| Variance | 0.0286 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | 0.0517 | |||
| Total Risk Alpha | 0.0336 | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | (1.44) | |||
| Maximum Drawdown | 0.7184 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.3157 | |||
| Downside Variance | 0.0396 | |||
| Semi Variance | (0.04) | |||
| Expected Short fall | (0.16) | |||
| Skewness | (0.39) | |||
| Kurtosis | (0.15) |
New York Life Backtested Returns
At this point, New York is very steady. New York Life has Sharpe Ratio of 0.34, which conveys that the entity had a 0.34 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for New York, which you can use to evaluate the volatility of the etf. Please verify New York's Mean Deviation of 0.1321, risk adjusted performance of 0.233, and Coefficient Of Variation of 285.13 to check out if the risk estimate we provide is consistent with the expected return of 0.0586%. The etf secures a Beta (Market Risk) of -0.0342, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning New York are expected to decrease at a much lower rate. During the bear market, New York is likely to outperform the market.
Auto-correlation | 0.95 |
Excellent predictability
New York Life has excellent predictability. Overlapping area represents the amount of predictability between New York time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of New York Life price movement. The serial correlation of 0.95 indicates that approximately 95.0% of current New York price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.95 | |
| Spearman Rank Test | 0.95 | |
| Residual Average | 0.0 | |
| Price Variance | 0.02 |
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 two with a total number of output elements of fifty. The Normalized Average True Range is used to analyze tradable apportunities for New York Life across different markets.
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 March 3, 2026 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 | 0.233 | |||
| Market Risk Adjusted Performance | (1.43) | |||
| Mean Deviation | 0.1321 | |||
| Downside Deviation | 0.1989 | |||
| Coefficient Of Variation | 285.13 | |||
| Standard Deviation | 0.1691 | |||
| Variance | 0.0286 | |||
| Information Ratio | (0.13) | |||
| Jensen Alpha | 0.0517 | |||
| Total Risk Alpha | 0.0336 | |||
| Sortino Ratio | (0.11) | |||
| Treynor Ratio | (1.44) | |||
| Maximum Drawdown | 0.7184 | |||
| Value At Risk | (0.24) | |||
| Potential Upside | 0.3157 | |||
| Downside Variance | 0.0396 | |||
| Semi Variance | (0.04) | |||
| Expected Short fall | (0.16) | |||
| Skewness | (0.39) | |||
| Kurtosis | (0.15) |
New York March 3, 2026 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 | (7.00) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 25.57 | ||
| Day Typical Price | 25.57 | ||
| Price Action Indicator | (0.03) | ||
| Market Facilitation Index | 0.01 |
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 state. You can also try the Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
New York Life's market price often diverges from its book value, the accounting figure shown on New's balance sheet. Smart investors calculate New York's intrinsic value - its true economic worth - which may differ significantly from both market price and book value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Since New York's trading price responds to investor sentiment, macroeconomic conditions, and market psychology, it can swing far from fundamental value.
Understanding that New York's value differs from its trading price is crucial, as each reflects different aspects of the company. Evaluating whether New York represents a sound investment requires analyzing earnings trends, revenue growth, technical signals, industry dynamics, and expert forecasts. 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.