Morgan Stanley (Mexico) Technical Analysis
| MS Stock | MXN 1,703 581.78 4.21% |
As of the 26th of February, Morgan Stanley secures the Mean Deviation of 0.8842, risk adjusted performance of (0.01), and Standard Deviation of 1.61. In connection with fundamental indicators, the technical analysis model lets you check existing technical drivers of Morgan Stanley, as well as the relationship between them.
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 |
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 stock 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.
| 11/28/2025 |
| 02/26/2026 |
If you would invest 0.00 in Morgan Stanley on November 28, 2025 and sell it all today you would earn a total of 0.00 from holding Morgan Stanley or generate 0.0% return on investment in Morgan Stanley over 90 days. Morgan Stanley is related to or competes with UnitedHealth Group, McEwen Mining, Capital One, Monster Beverage, and Hoteles City. Morgan Stanley, a financial holding company, provides various financial products and services to corporations, governmen... 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 stock 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 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 9.16 | |||
| Value At Risk | (3.69) | |||
| Potential Upside | 2.38 |
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 | (0.01) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.08) |
Morgan Stanley February 26, 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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 0.8842 | |||
| Coefficient Of Variation | (5,332) | |||
| Standard Deviation | 1.61 | |||
| Variance | 2.6 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 9.16 | |||
| Value At Risk | (3.69) | |||
| Potential Upside | 2.38 | |||
| Skewness | (0.08) | |||
| Kurtosis | 3.13 |
Morgan Stanley Backtested Returns
Morgan Stanley has Sharpe Ratio of -0.0188, which conveys that the firm had a -0.0188 % return per unit of risk over the last 3 months. Morgan Stanley exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please verify Morgan Stanley's Mean Deviation of 0.8842, standard deviation of 1.61, and Risk Adjusted Performance of (0.01) to check out the risk estimate we provide. The company secures a Beta (Market Risk) of 0.48, which conveys possible diversification benefits within a given portfolio. 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. At this point, Morgan Stanley has a negative expected return of -0.0303%. Please make sure to verify Morgan Stanley's treynor ratio, kurtosis, as well as the relationship between the Kurtosis and day typical price , to decide if Morgan Stanley performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.66 |
Very good reverse predictability
Morgan Stanley has very good reverse predictability. Overlapping area represents the amount of predictability between Morgan Stanley time series from 28th of November 2025 to 12th of January 2026 and 12th of January 2026 to 26th 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 price movement. The serial correlation of -0.66 indicates that around 66.0% of current Morgan Stanley price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.66 | |
| Spearman Rank Test | -0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 11.4 K |
Morgan Stanley technical stock 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, stock market cycles, or different charting patterns.
Morgan Stanley Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Morgan Stanley across different markets.
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 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 based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Morgan Stanley price pattern first instead of the macroeconomic environment surrounding Morgan Stanley. 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 26, 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 | (0.01) | |||
| Market Risk Adjusted Performance | (0.07) | |||
| Mean Deviation | 0.8842 | |||
| Coefficient Of Variation | (5,332) | |||
| Standard Deviation | 1.61 | |||
| Variance | 2.6 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.09) | |||
| Total Risk Alpha | (0.25) | |||
| Treynor Ratio | (0.08) | |||
| Maximum Drawdown | 9.16 | |||
| Value At Risk | (3.69) | |||
| Potential Upside | 2.38 | |||
| Skewness | (0.08) | |||
| Kurtosis | 3.13 |
Morgan Stanley February 26, 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 | 0.01 | ||
| Daily Balance Of Power | (0.35) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 2,990 | ||
| Day Typical Price | 2,986 | ||
| Price Action Indicator | (14.22) | ||
| Market Facilitation Index | 21.00 |
Additional Tools for Morgan Stock Analysis
When running Morgan Stanley's price analysis, check to measure Morgan Stanley'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 Morgan Stanley is operating at the current time. Most of Morgan Stanley's value examination focuses on studying past and present price action to predict the probability of Morgan Stanley's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Morgan Stanley's price. Additionally, you may evaluate how the addition of Morgan Stanley to your portfolios can decrease your overall portfolio volatility.