Salesforce Cdr Stock Market Value
| CRM Stock | 15.39 0.51 3.43% |
| Symbol | Salesforce |
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.
| 11/29/2025 |
| 02/27/2026 |
If you would invest 0.00 in Salesforce on November 29, 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 | (0.25) | |||
| 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 | (0.15) | |||
| Jensen Alpha | (0.71) | |||
| Total Risk Alpha | (0.95) | |||
| Treynor Ratio | (0.41) |
Salesforce February 27, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
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| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.15) | |||
| Market Risk Adjusted Performance | (0.40) | |||
| Mean Deviation | 1.96 | |||
| Coefficient Of Variation | (483.66) | |||
| Standard Deviation | 2.64 | |||
| Variance | 6.98 | |||
| Information Ratio | (0.25) | |||
| Jensen Alpha | (0.71) | |||
| Total Risk Alpha | (0.95) | |||
| Treynor Ratio | (0.41) | |||
| Maximum Drawdown | 9.73 | |||
| Value At Risk | (5.96) | |||
| Potential Upside | 3.43 | |||
| Skewness | (0.70) | |||
| Kurtosis | 0.3715 |
Salesforce CDR Backtested Returns
Salesforce CDR owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.2, which indicates the firm had a -0.2 % return per unit of risk over the last 3 months. Salesforce CDR exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Salesforce's Risk Adjusted Performance of (0.15), variance of 6.98, and Coefficient Of Variation of (483.66) to confirm the risk estimate we provide. The entity has a beta of 1.35, which indicates a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Salesforce will likely underperform. At this point, Salesforce CDR has a negative expected return of -0.53%. Please make sure to validate Salesforce's kurtosis, and the relationship between the maximum drawdown 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 | 0.41 |
Average predictability
Salesforce CDR has average predictability. Overlapping area represents the amount of predictability between Salesforce time series from 29th of November 2025 to 13th of January 2026 and 13th of January 2026 to 27th 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 0.41 indicates that just about 41.0% of current Salesforce price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.41 | |
| Spearman Rank Test | 0.19 | |
| Residual Average | 0.0 | |
| Price Variance | 0.44 |
Pair Trading with Salesforce
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Salesforce position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Salesforce will appreciate offsetting losses from the drop in the long position's value.The ability to find closely correlated positions to Salesforce could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Salesforce when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Salesforce - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Salesforce CDR to buy it.
The correlation of Salesforce is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Salesforce moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Salesforce CDR moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Salesforce can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.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.