Morgan Stanley Etf Technical Analysis
| CVLC Etf | 85.58 0.65 0.77% |
As of the 6th of February, Morgan Stanley secures the Risk Adjusted Performance of 0.0272, mean deviation of 0.5658, and Downside Deviation of 0.8017. Morgan Stanley ETF technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the etf's future prices.
Morgan Stanley Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Morgan, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to MorganMorgan Stanley'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.The market value of Morgan Stanley ETF is measured differently than its book value, which is the value of Morgan that is recorded on the company's balance sheet. Investors also form their own opinion of Morgan Stanley's value that differs from its market value or its book value, called intrinsic value, which is Morgan Stanley's true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because Morgan Stanley's market value can be influenced by many factors that don't directly affect Morgan Stanley's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between Morgan Stanley's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Morgan Stanley should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Morgan Stanley's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Morgan Stanley '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 Morgan Stanley'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 Morgan Stanley.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Morgan Stanley on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding Morgan Stanley ETF or generate 0.0% return on investment in Morgan Stanley over 90 days. Morgan Stanley is related to or competes with Xtrackers MSCI, First Trust, AB Active, Innovator, Fidelity Dividend, Harbor ETF, and Global X. Morgan Stanley is entity of United States More
Morgan Stanley 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 Morgan Stanley'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 Morgan Stanley ETF upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.8017 | |||
| Information Ratio | (0.02) | |||
| Maximum Drawdown | 3.49 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 1.18 |
Morgan Stanley Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Morgan Stanley's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Morgan Stanley's standard deviation. In reality, there are many statistical measures that can use Morgan Stanley historical prices to predict the future Morgan Stanley's volatility.| Risk Adjusted Performance | 0.0272 | |||
| Jensen Alpha | 0.0151 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.3519 |
Morgan Stanley February 6, 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 | 0.0272 | |||
| Market Risk Adjusted Performance | 0.3619 | |||
| Mean Deviation | 0.5658 | |||
| Semi Deviation | 0.771 | |||
| Downside Deviation | 0.8017 | |||
| Coefficient Of Variation | 2739.93 | |||
| Standard Deviation | 0.733 | |||
| Variance | 0.5372 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0151 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.3519 | |||
| Maximum Drawdown | 3.49 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 1.18 | |||
| Downside Variance | 0.6427 | |||
| Semi Variance | 0.5944 | |||
| Expected Short fall | (0.58) | |||
| Skewness | (0.56) | |||
| Kurtosis | 0.4298 |
Morgan Stanley ETF Backtested Returns
At this point, Morgan Stanley is very steady. Morgan Stanley ETF has Sharpe Ratio of 0.0491, which conveys that the entity had a 0.0491 % return per unit of risk over the last 3 months. We have found twenty-nine technical indicators for Morgan Stanley, which you can use to evaluate the volatility of the etf. Please verify Morgan Stanley's Mean Deviation of 0.5658, risk adjusted performance of 0.0272, and Downside Deviation of 0.8017 to check out if the risk estimate we provide is consistent with the expected return of 0.0352%. The etf secures a Beta (Market Risk) of 0.0476, which conveys not very significant fluctuations relative to the market. As returns on the market increase, Morgan Stanley's returns are expected to increase less than the market. However, during the bear market, the loss of holding Morgan Stanley is expected to be smaller as well.
Auto-correlation | 0.17 |
Very weak predictability
Morgan Stanley ETF has very weak predictability. Overlapping area represents the amount of predictability between Morgan Stanley time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th 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 Morgan Stanley ETF price movement. The serial correlation of 0.17 indicates that over 17.0% of current Morgan Stanley price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.17 | |
| Spearman Rank Test | 0.03 | |
| Residual Average | 0.0 | |
| Price Variance | 0.25 |
Morgan Stanley 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.
Morgan Stanley ETF Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Morgan Stanley ETF volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Morgan Stanley 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 Morgan Stanley ETF 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 Morgan Stanley ETF based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Morgan Stanley ETF price pattern first instead of the macroeconomic environment surrounding Morgan Stanley ETF. By analyzing Morgan Stanley'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 Morgan Stanley'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 Morgan Stanley specific price patterns or momentum indicators. Please read more on our technical analysis page.
Morgan Stanley February 6, 2026 Technical Indicators
Most technical analysis of Morgan 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 Morgan from various momentum indicators to cycle indicators. When you analyze Morgan 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 | 0.0272 | |||
| Market Risk Adjusted Performance | 0.3619 | |||
| Mean Deviation | 0.5658 | |||
| Semi Deviation | 0.771 | |||
| Downside Deviation | 0.8017 | |||
| Coefficient Of Variation | 2739.93 | |||
| Standard Deviation | 0.733 | |||
| Variance | 0.5372 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | 0.0151 | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.3519 | |||
| Maximum Drawdown | 3.49 | |||
| Value At Risk | (1.21) | |||
| Potential Upside | 1.18 | |||
| Downside Variance | 0.6427 | |||
| Semi Variance | 0.5944 | |||
| Expected Short fall | (0.58) | |||
| Skewness | (0.56) | |||
| Kurtosis | 0.4298 |
Morgan Stanley February 6, 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 Morgan 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 | 246.52 | ||
| Daily Balance Of Power | 0.53 | ||
| Rate Of Daily Change | 1.01 | ||
| Day Median Price | 84.97 | ||
| Day Typical Price | 85.17 | ||
| Price Action Indicator | 0.93 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Morgan Stanley ETF. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. For information on how to trade Morgan Etf refer to our How to Trade Morgan Etf guide.You can also try the Global Correlations module to find global opportunities by holding instruments from different markets.
The market value of Morgan Stanley ETF is measured differently than its book value, which is the value of Morgan that is recorded on the company's balance sheet. Investors also form their own opinion of Morgan Stanley's value that differs from its market value or its book value, called intrinsic value, which is Morgan Stanley's true underlying value. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Because Morgan Stanley's market value can be influenced by many factors that don't directly affect Morgan Stanley's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between Morgan Stanley's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Morgan Stanley should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Morgan Stanley's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.