Sumitomo Mitsui Financial Stock Technical Analysis
SMFNF Stock | USD 24.16 0.45 1.83% |
As of the 26th of November, Sumitomo Mitsui has the Risk Adjusted Performance of 0.0615, semi deviation of 4.58, and Coefficient Of Variation of 1445.99. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Sumitomo Mitsui Financial, as well as the relationship between them. Please validate Sumitomo Mitsui Financial treynor ratio, as well as the relationship between the downside variance and kurtosis to decide if Sumitomo Mitsui is priced more or less accurately, providing market reflects its prevalent price of 24.16 per share. Given that Sumitomo Mitsui Financial has jensen alpha of 0.4247, we advise you to double-check Sumitomo Mitsui Financial's current market performance to make sure the company can sustain itself at a future point.
Sumitomo Mitsui Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Sumitomo, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SumitomoSumitomo |
Sumitomo Mitsui technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Sumitomo Mitsui Financial Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-nine. 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 Sumitomo Mitsui Financial volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Sumitomo Mitsui Financial Trend Analysis
Use this graph to draw trend lines for Sumitomo Mitsui Financial. You can use it to identify possible trend reversals for Sumitomo Mitsui 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 Sumitomo Mitsui price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Sumitomo Mitsui Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Sumitomo Mitsui Financial applied against its price change over selected period. The best fit line has a slop of 0.08 , which means Sumitomo Mitsui Financial will continue generating value for investors. It has 122 observation points and a regression sum of squares at 240.18, which is the sum of squared deviations for the predicted Sumitomo Mitsui price change compared to its average price change.About Sumitomo Mitsui 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 Sumitomo Mitsui Financial 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 Sumitomo Mitsui Financial based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Sumitomo Mitsui Financial price pattern first instead of the macroeconomic environment surrounding Sumitomo Mitsui Financial. By analyzing Sumitomo Mitsui'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 Sumitomo Mitsui'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 Sumitomo Mitsui specific price patterns or momentum indicators. Please read more on our technical analysis page.
Sumitomo Mitsui November 26, 2024 Technical Indicators
Most technical analysis of Sumitomo 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 Sumitomo from various momentum indicators to cycle indicators. When you analyze Sumitomo 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 | 0.0615 | |||
Market Risk Adjusted Performance | (0.52) | |||
Mean Deviation | 3.84 | |||
Semi Deviation | 4.58 | |||
Downside Deviation | 5.16 | |||
Coefficient Of Variation | 1445.99 | |||
Standard Deviation | 5.14 | |||
Variance | 26.45 | |||
Information Ratio | 0.0437 | |||
Jensen Alpha | 0.4247 | |||
Total Risk Alpha | (0.46) | |||
Sortino Ratio | 0.0436 | |||
Treynor Ratio | (0.53) | |||
Maximum Drawdown | 23.15 | |||
Value At Risk | (8.44) | |||
Potential Upside | 10.23 | |||
Downside Variance | 26.64 | |||
Semi Variance | 20.96 | |||
Expected Short fall | (4.07) | |||
Skewness | 0.0174 | |||
Kurtosis | 0.1819 |
Sumitomo Mitsui November 26, 2024 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 Sumitomo 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 | 6,276 | ||
Daily Balance Of Power | (0.36) | ||
Rate Of Daily Change | 0.98 | ||
Day Median Price | 23.60 | ||
Day Typical Price | 23.79 | ||
Price Action Indicator | 0.34 |
Complementary Tools for Sumitomo Pink Sheet analysis
When running Sumitomo Mitsui's price analysis, check to measure Sumitomo Mitsui'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 Sumitomo Mitsui is operating at the current time. Most of Sumitomo Mitsui's value examination focuses on studying past and present price action to predict the probability of Sumitomo Mitsui's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sumitomo Mitsui's price. Additionally, you may evaluate how the addition of Sumitomo Mitsui to your portfolios can decrease your overall portfolio volatility.
My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
Funds Screener Find actively-traded funds from around the world traded on over 30 global exchanges | |
Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
Equity Valuation Check real value of public entities based on technical and fundamental data | |
Money Managers Screen money managers from public funds and ETFs managed around the world |