Salesforce Cdr Stock Technical Analysis
| CRM Stock | 15.05 0.34 2.21% |
As of the 28th of February, Salesforce has the Coefficient Of Variation of (451.19), variance of 6.88, and Risk Adjusted Performance of (0.16). 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.
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 '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.
| 11/30/2025 |
| 02/28/2026 |
If you would invest 0.00 in Salesforce on November 30, 2025 and sell it all today you would earn a total of 0.00 from holding Salesforce CDR or generate 0.0% return on investment in Salesforce over 90 days. Salesforce is related to or competes with ServiceNow CDR, Descartes Systems, Real Matters, TECSYS, Intermap Technologies, and Metavista3D. Salesforce is entity of Canada. It is traded as Stock on TO exchange. 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 CDR upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.26) | |||
| Maximum Drawdown | 9.73 | |||
| Value At Risk | (5.96) | |||
| Potential Upside | 3.43 |
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 | (0.16) | |||
| Jensen Alpha | (0.68) | |||
| Total Risk Alpha | (0.87) | |||
| Treynor Ratio | (0.56) |
Salesforce February 28, 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 | (0.16) | |||
| Market Risk Adjusted Performance | (0.55) | |||
| Mean Deviation | 1.96 | |||
| Coefficient Of Variation | (451.19) | |||
| Standard Deviation | 2.62 | |||
| Variance | 6.88 | |||
| Information Ratio | (0.26) | |||
| Jensen Alpha | (0.68) | |||
| Total Risk Alpha | (0.87) | |||
| Treynor Ratio | (0.56) | |||
| Maximum Drawdown | 9.73 | |||
| Value At Risk | (5.96) | |||
| Potential Upside | 3.43 | |||
| Skewness | (0.66) | |||
| Kurtosis | 0.347 |
Salesforce CDR Backtested Returns
Salesforce CDR owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.22, which indicates the firm had a -0.22 % return per unit of risk over the last 3 months. Salesforce CDR exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Salesforce's Risk Adjusted Performance of (0.16), coefficient of variation of (451.19), and Variance of 6.88 to confirm the risk estimate we provide. The entity has a beta of 1.06, 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 CDR has a negative expected return of -0.57%. Please make sure to validate Salesforce's treynor ratio, as well as the relationship between the kurtosis and day median price , to decide if Salesforce CDR performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.69 |
Good predictability
Salesforce CDR has good predictability. Overlapping area represents the amount of predictability between Salesforce time series from 30th of November 2025 to 14th of January 2026 and 14th of January 2026 to 28th 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 CDR price movement. The serial correlation of 0.69 indicates that around 69.0% of current Salesforce price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.36 | |
| Residual Average | 0.0 | |
| Price Variance | 0.79 |
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 CDR Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of thirty-four. The Normalized Average True Range is used to analyze tradable apportunities for Salesforce CDR across different markets.
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 CDR 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 CDR based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Salesforce CDR price pattern first instead of the macroeconomic environment surrounding Salesforce CDR. 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.
Salesforce February 28, 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 | (0.16) | |||
| Market Risk Adjusted Performance | (0.55) | |||
| Mean Deviation | 1.96 | |||
| Coefficient Of Variation | (451.19) | |||
| Standard Deviation | 2.62 | |||
| Variance | 6.88 | |||
| Information Ratio | (0.26) | |||
| Jensen Alpha | (0.68) | |||
| Total Risk Alpha | (0.87) | |||
| Treynor Ratio | (0.56) | |||
| Maximum Drawdown | 9.73 | |||
| Value At Risk | (5.96) | |||
| Potential Upside | 3.43 | |||
| Skewness | (0.66) | |||
| Kurtosis | 0.347 |
Salesforce February 28, 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 | 0.03 | ||
| Daily Balance Of Power | (0.85) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 14.88 | ||
| Day Typical Price | 14.94 | ||
| Price Action Indicator | 0.00 | ||
| Market Facilitation Index | 0.40 |
Other Information on Investing in Salesforce Stock
Salesforce financial ratios help investors to determine whether Salesforce Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Salesforce with respect to the benefits of owning Salesforce security.