Salesforce Stock Technical Analysis
CRM Stock | USD 330.01 13.17 3.84% |
As of the 28th of November, Salesforce has the Risk Adjusted Performance of 0.1895, semi deviation of 0.9088, and Coefficient Of Variation of 415.39. Salesforce technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate Salesforce downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if Salesforce is priced more or less accurately, providing market reflects its prevalent price of 330.01 per share. Given that Salesforce has jensen alpha of 0.2637, we advise you to double-check Salesforce's current market performance to make sure the company can sustain itself at a future point.
Salesforce Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Salesforce, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SalesforceSalesforce |
Salesforce Analyst Consensus
Target Price | Advice | # of Analysts | |
240.47 | Strong Buy | 52 | Odds |
Most Salesforce analysts issue ratings four times a year, at intervals of three months. Ratings are usually accompanied by a target price to helps potential investors understand Salesforce stock's fair price compared to its market value. Analysts arrive at stock ratings after researching public financial statements of Salesforce, talking to its executives and customers, or listening to Salesforce conference calls.
Salesforce 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.
Salesforce Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 Salesforce volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Salesforce Trend Analysis
Use this graph to draw trend lines for Salesforce. You can use it to identify possible trend reversals for Salesforce 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 Salesforce price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Salesforce Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Salesforce applied against its price change over selected period. The best fit line has a slop of 1.55 , which may imply that Salesforce will maintain its good market sentiment and make money for investors. It has 122 observation points and a regression sum of squares at 91117.11, which is the sum of squared deviations for the predicted Salesforce price change compared to its average price change.About Salesforce 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 Salesforce 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 Salesforce based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Salesforce price pattern first instead of the macroeconomic environment surrounding Salesforce. By analyzing Salesforce'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 Salesforce'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 Salesforce specific price patterns or momentum indicators. Please read more on our technical analysis page.
2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 2.38 | 2.15 | 2.64 | 2.51 | Days Of Inventory On Hand | 75.54 | 77.54 | 69.79 | 63.59 |
Salesforce November 28, 2024 Technical Indicators
Most technical analysis of Salesforce 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 Salesforce from various momentum indicators to cycle indicators. When you analyze Salesforce 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 | 0.1895 | |||
Market Risk Adjusted Performance | 0.3684 | |||
Mean Deviation | 1.29 | |||
Semi Deviation | 0.9088 | |||
Downside Deviation | 1.25 | |||
Coefficient Of Variation | 415.39 | |||
Standard Deviation | 1.69 | |||
Variance | 2.86 | |||
Information Ratio | 0.1636 | |||
Jensen Alpha | 0.2637 | |||
Total Risk Alpha | 0.1308 | |||
Sortino Ratio | 0.2221 | |||
Treynor Ratio | 0.3584 | |||
Maximum Drawdown | 9.09 | |||
Value At Risk | (1.91) | |||
Potential Upside | 3.18 | |||
Downside Variance | 1.55 | |||
Semi Variance | 0.8259 | |||
Expected Short fall | (1.53) | |||
Skewness | 0.9864 | |||
Kurtosis | 1.7 |
Salesforce November 28, 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 Salesforce 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 | 188,206 | ||
Daily Balance Of Power | (1.55) | ||
Rate Of Daily Change | 0.96 | ||
Day Median Price | 333.13 | ||
Day Typical Price | 332.09 | ||
Price Action Indicator | (9.71) |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Salesforce. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in metropolitan statistical area. To learn how to invest in Salesforce Stock, please use our How to Invest in Salesforce guide.You can also try the AI Portfolio Architect module to use AI to generate optimal portfolios and find profitable investment opportunities.
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Salesforce. If investors know Salesforce will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Salesforce listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.148 | Dividend Share 0.8 | Earnings Share 5.73 | Revenue Per Share 37.632 | Quarterly Revenue Growth 0.084 |
The market value of Salesforce is measured differently than its book value, which is the value of Salesforce that is recorded on the company's balance sheet. Investors also form their own opinion of Salesforce's value that differs from its market value or its book value, called intrinsic value, which is Salesforce's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Salesforce's market value can be influenced by many factors that don't directly affect Salesforce's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Salesforce's value and its price as these two are different measures arrived at by different means. Investors typically determine if Salesforce is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Salesforce'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.