Salesforce Stock Technical Analysis
| CRM Stock | USD 196.38 14.43 6.85% |
As of the 4th of February, Salesforce has the Risk Adjusted Performance of (0.10), variance of 5.28, and Coefficient Of Variation of (665.82). 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 standard deviation and value at risk to decide if Salesforce is priced more or less accurately, providing market reflects its prevalent price of 196.38 per share. Given that Salesforce has information ratio of (0.17), 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 | Build AI portfolio with Salesforce Stock |
Salesforce Analyst Consensus
| Target Price | Consensus | # of Analysts | |
| 328.52 | Strong Buy | 55 | 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.
Will Application Software sector continue expanding? Could Salesforce diversify its offerings? Factors like these will boost the valuation of Salesforce. Projected growth potential of Salesforce fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Salesforce data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth 0.386 | Dividend Share 1.648 | Earnings Share 7.48 | Revenue Per Share | Quarterly Revenue Growth 0.086 |
Understanding Salesforce requires distinguishing between market price and book value, where the latter reflects Salesforce's accounting equity. The concept of intrinsic value - what Salesforce's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Salesforce's price substantially above or below its fundamental value.
It's important to distinguish between Salesforce's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Salesforce should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, Salesforce's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.
Salesforce '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 Salesforce'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 Salesforce.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in Salesforce on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding Salesforce or generate 0.0% return on investment in Salesforce over 90 days. Salesforce is related to or competes with Morningstar Unconstrained, T Rowe, Oramed Pharmaceuticals, Virtus Dfa, Charming Medical, Golub Capital, and Goldman Sachs. Salesforce, Inc. provides customer relationship management technology that brings companies and customers together world... More
Salesforce 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 Salesforce'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 Salesforce upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 12.37 | |||
| Value At Risk | (5.31) | |||
| Potential Upside | 2.94 |
Salesforce Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Salesforce's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Salesforce's standard deviation. In reality, there are many statistical measures that can use Salesforce historical prices to predict the future Salesforce's volatility.| Risk Adjusted Performance | (0.10) | |||
| Jensen Alpha | (0.40) | |||
| Total Risk Alpha | (0.49) | |||
| Treynor Ratio | (0.33) |
Salesforce February 4, 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 | (0.10) | |||
| Market Risk Adjusted Performance | (0.32) | |||
| Mean Deviation | 1.65 | |||
| Coefficient Of Variation | (665.82) | |||
| Standard Deviation | 2.3 | |||
| Variance | 5.28 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.40) | |||
| Total Risk Alpha | (0.49) | |||
| Treynor Ratio | (0.33) | |||
| Maximum Drawdown | 12.37 | |||
| Value At Risk | (5.31) | |||
| Potential Upside | 2.94 | |||
| Skewness | (0.84) | |||
| Kurtosis | 1.59 |
Salesforce Backtested Returns
Salesforce owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.13, which indicates the firm had a -0.13 % return per unit of risk over the last 3 months. Salesforce exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Salesforce's Risk Adjusted Performance of (0.10), variance of 5.28, and Coefficient Of Variation of (665.82) to confirm the risk estimate we provide. The entity has a beta of 1.09, which indicates a somewhat significant risk relative to the market. Salesforce returns are very sensitive to returns on the market. As the market goes up or down, Salesforce is expected to follow. At this point, Salesforce has a negative expected return of -0.3%. Please make sure to validate Salesforce's standard deviation, treynor ratio, as well as the relationship between the Treynor Ratio and day median price , to decide if Salesforce performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.65 |
Very good reverse predictability
Salesforce has very good reverse predictability. Overlapping area represents the amount of predictability between Salesforce time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 Salesforce price movement. The serial correlation of -0.65 indicates that roughly 65.0% of current Salesforce price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.65 | |
| Spearman Rank Test | -0.52 | |
| Residual Average | 0.0 | |
| Price Variance | 499.75 |
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 twenty-four with a total number of output elements of thirty-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.
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.
| 2025 | 2026 (projected) | Dividend Yield | 0.004208 | 0.003741 | Price To Sales Ratio | 9.98 | 10.51 |
Salesforce February 4, 2026 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 | (0.10) | |||
| Market Risk Adjusted Performance | (0.32) | |||
| Mean Deviation | 1.65 | |||
| Coefficient Of Variation | (665.82) | |||
| Standard Deviation | 2.3 | |||
| Variance | 5.28 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.40) | |||
| Total Risk Alpha | (0.49) | |||
| Treynor Ratio | (0.33) | |||
| Maximum Drawdown | 12.37 | |||
| Value At Risk | (5.31) | |||
| Potential Upside | 2.94 | |||
| Skewness | (0.84) | |||
| Kurtosis | 1.59 |
Salesforce February 4, 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 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 | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.93 | ||
| Day Median Price | 196.38 | ||
| Day Typical Price | 196.38 | ||
| Price Action Indicator | (7.22) |
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 inflation. To learn how to invest in Salesforce Stock, please use our How to Invest in Salesforce guide.You can also try the ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Will Application Software sector continue expanding? Could Salesforce diversify its offerings? Factors like these will boost the valuation of Salesforce. Projected growth potential of Salesforce fundamentally drives upward valuation adjustments. Accurate valuation requires analyzing both current fundamentals and future growth trajectories. Every Salesforce data point contributes insight, yet successful analysis hinges on identifying the most consequential variables.
Quarterly Earnings Growth 0.386 | Dividend Share 1.648 | Earnings Share 7.48 | Revenue Per Share | Quarterly Revenue Growth 0.086 |
Understanding Salesforce requires distinguishing between market price and book value, where the latter reflects Salesforce's accounting equity. The concept of intrinsic value - what Salesforce's is actually worth based on fundamentals - guides informed investors toward better entry and exit points. Seasoned market participants apply comprehensive analytical frameworks to derive fundamental worth and identify mispriced opportunities. Market sentiment, economic cycles, and investor behavior can push Salesforce's price substantially above or below its fundamental value.
It's important to distinguish between Salesforce's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Salesforce should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. In contrast, Salesforce's trading price reflects the actual exchange value where willing buyers and sellers reach mutual agreement.