Salesforce (UK) Technical Analysis
| 0QYJ Stock | 189.94 8.18 4.50% |
As of the 14th of February 2026, Salesforce has the Risk Adjusted Performance of (0.11), variance of 6.08, and Coefficient Of Variation of (703.52). 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 variance, treynor ratio, and the relationship between the standard deviation and information ratio to decide if Salesforce is priced more or less accurately, providing market reflects its prevalent price of 189.94 per share.
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.
| 11/16/2025 |
| 02/14/2026 |
If you would invest 0.00 in Salesforce on November 16, 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 Toyota, SoftBank Group, Nintendo, IDEXX Laboratories, DR Horton, Air Products, and Ford. Salesforce is entity of United Kingdom. It is traded as Stock on LSE 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 upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.17) | |||
| Maximum Drawdown | 13.1 | |||
| Value At Risk | (4.53) | |||
| Potential Upside | 3.11 |
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 | (0.11) | |||
| Jensen Alpha | (0.39) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | (0.78) |
Salesforce February 14, 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 | (0.11) | |||
| Market Risk Adjusted Performance | (0.77) | |||
| Mean Deviation | 1.76 | |||
| Coefficient Of Variation | (703.52) | |||
| Standard Deviation | 2.46 | |||
| Variance | 6.08 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.39) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | (0.78) | |||
| Maximum Drawdown | 13.1 | |||
| Value At Risk | (4.53) | |||
| Potential Upside | 3.11 | |||
| Skewness | (0.77) | |||
| Kurtosis | 2.06 |
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-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Salesforce's Variance of 6.08, coefficient of variation of (703.52), and Risk Adjusted Performance of (0.11) to confirm the risk estimate we provide. The entity has a beta of 0.46, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Salesforce's returns are expected to increase less than the market. However, during the bear market, the loss of holding Salesforce is expected to be smaller as well. At this point, Salesforce has a negative expected return of -0.33%. Please make sure to validate Salesforce's jensen alpha, treynor ratio, and the relationship between the standard deviation and total risk alpha , to decide if Salesforce performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.85 |
Excellent reverse predictability
Salesforce has excellent reverse predictability. Overlapping area represents the amount of predictability between Salesforce time series from 16th of November 2025 to 31st of December 2025 and 31st of December 2025 to 14th 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 -0.85 indicates that around 85.0% of current Salesforce price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.85 | |
| Spearman Rank Test | -0.79 | |
| Residual Average | 0.0 | |
| Price Variance | 671.38 |
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 one with a total number of output elements of sixty. The Normalized Average True Range is used to analyze tradable apportunities for Salesforce 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 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.
Salesforce February 14, 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 | (0.11) | |||
| Market Risk Adjusted Performance | (0.77) | |||
| Mean Deviation | 1.76 | |||
| Coefficient Of Variation | (703.52) | |||
| Standard Deviation | 2.46 | |||
| Variance | 6.08 | |||
| Information Ratio | (0.17) | |||
| Jensen Alpha | (0.39) | |||
| Total Risk Alpha | (0.54) | |||
| Treynor Ratio | (0.78) | |||
| Maximum Drawdown | 13.1 | |||
| Value At Risk | (4.53) | |||
| Potential Upside | 3.11 | |||
| Skewness | (0.77) | |||
| Kurtosis | 2.06 |
Salesforce February 14, 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 | 1,318 | ||
| Daily Balance Of Power | 0.88 | ||
| Rate Of Daily Change | 1.05 | ||
| Day Median Price | 188.83 | ||
| Day Typical Price | 189.20 | ||
| Price Action Indicator | 5.20 | ||
| Market Facilitation Index | 0.0003 |
Additional Tools for Salesforce Stock Analysis
When running Salesforce's price analysis, check to measure Salesforce'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 Salesforce is operating at the current time. Most of Salesforce's value examination focuses on studying past and present price action to predict the probability of Salesforce's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Salesforce's price. Additionally, you may evaluate how the addition of Salesforce to your portfolios can decrease your overall portfolio volatility.