New York Life Etf Technical Analysis

MMMA Etf   25.42  0.03  0.12%   

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 '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.
0.00
11/11/2025
No Change 0.00  0.0 
In 3 months and 1 day
02/09/2026
0.00
If you would invest  0.00  in New York on November 11, 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 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.

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.

New York February 9, 2026 Technical Indicators

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-five technical indicators for New York, which you can use to evaluate the volatility of the etf. Please verify New York's Coefficient Of Variation of 292.47, risk adjusted performance of 0.2386, and Mean Deviation of 0.1372 to check out if the risk estimate we provide is consistent with the expected return of 0.0571%. The etf secures a Beta (Market Risk) of -0.0112, 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

    
  0.37  

Below average predictability

New York Life has below average predictability. Overlapping area represents the amount of predictability between New York time series from 11th of November 2025 to 26th of December 2025 and 26th of December 2025 to 9th of February 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 0.37 indicates that just about 37.0% of current New York price fluctuation can be explain by its past prices.
Correlation Coefficient0.37
Spearman Rank Test0.69
Residual Average0.0
Price Variance0.0
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.
A focus of New York technical analysis is to determine if market prices reflect all relevant information impacting that market. A technical analyst looks at the history of New York trading pattern rather than external drivers such as economic, fundamental, or social events. It is believed that price action tends to repeat itself due to investors' collective, patterned behavior. Hence technical analysis focuses on identifiable price trends and conditions. More Info...

New York Life Technical Analysis

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The output start index for this execution was one with a total number of output elements of thirty-six. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of New York Life volatility. High ATR values indicate high volatility, and low values indicate low volatility.

New York February 9, 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.

New York February 9, 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.