Salesforce Stock Price Patterns
| CRM Stock | USD 196.38 14.43 6.85% |
Momentum 26
Sell Stretched
Oversold | Overbought |
Quarterly Earnings Growth 0.386 | EPS Estimate Current Year 11.7706 | EPS Estimate Next Year 13.1149 | Wall Street Target Price 328.5155 | EPS Estimate Current Quarter 2.8617 |
Using Salesforce hype-based prediction, you can estimate the value of Salesforce from the perspective of Salesforce response to recently generated media hype and the effects of current headlines on its competitors. We also analyze overall investor sentiment towards Salesforce using Salesforce's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Salesforce using crowd psychology based on the activity and movement of Salesforce's stock price.
Salesforce Short Interest
An investor who is long Salesforce may also wish to track short interest. As short interest increases, investors should be becoming more worried about Salesforce and may potentially protect profits, hedge Salesforce with its derivative instruments, or be ready for some potential downside.
200 Day MA 254.1782 | Short Percent 0.0199 | Short Ratio 2.59 | Shares Short Prior Month 16 M | 50 Day MA 245.381 |
Salesforce Hype to Price Pattern
Investor biases related to Salesforce's public news can be used to forecast risks associated with an investment in Salesforce. The trend in average sentiment can be used to explain how an investor holding Salesforce can time the market purely based on public headlines and social activities around Salesforce. Please note that most equities that are difficult to arbitrage are affected by market sentiment the most.
Some investors profit by finding stocks that are overvalued or undervalued based on market sentiment. The correlation of Salesforce's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Salesforce.
Salesforce Implied Volatility | 0.49 |
Salesforce's implied volatility exposes the market's sentiment of Salesforce stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Salesforce's implied volatility is high, the market thinks the stock has potential for high price swings in either direction. On the other hand, the low implied volatility suggests that Salesforce stock will not fluctuate a lot when Salesforce's options are near their expiration.
The fear of missing out, i.e., FOMO, can cause potential investors in Salesforce to buy its stock at a price that has no basis in reality. In that case, they are not buying Salesforce because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Salesforce after-hype prediction price | USD 195.95 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Prediction based on Rule 16 of the current Salesforce contract
Based on the Rule 16, the options market is currently suggesting that Salesforce will have an average daily up or down price movement of about 0.0306% per day over the life of the 2026-05-15 option contract. With Salesforce trading at USD 196.38, that is roughly USD 0.0601 . If you think that the market is fully incorporating Salesforce's daily price movement you should consider acquiring Salesforce options at the current volatility level of 0.49%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Salesforce | Build AI portfolio with Salesforce Stock |
Salesforce After-Hype Price Density Analysis
As far as predicting the price of Salesforce at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Salesforce or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Salesforce, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Salesforce Estimiated After-Hype Price Volatility
In the context of predicting Salesforce's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Salesforce's historical news coverage. Salesforce's after-hype downside and upside margins for the prediction period are 193.70 and 198.20, respectively. We have considered Salesforce's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Salesforce is very steady at this time. Analysis and calculation of next after-hype price of Salesforce is based on 3 months time horizon.
Salesforce Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Salesforce is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Salesforce backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Salesforce, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.30 | 2.25 | 0.43 | 0.00 | 6 Events / Month | 3 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
196.38 | 195.95 | 0.22 |
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Salesforce Hype Timeline
On the 4th of February Salesforce is traded for 196.38. The entity has historical hype elasticity of -0.43, and average elasticity to hype of competition of 0.0. Salesforce is projected to decline in value after the next headline, with the price expected to drop to 195.95. The average volatility of media hype impact on the company price is about 157.34%. The price depreciation on the next news is expected to be -0.22%, whereas the daily expected return is currently at -0.3%. The volatility of related hype on Salesforce is about 17307.69%, with the expected price after the next announcement by competition of 196.38. About 84.0% of the company shares are held by institutions such as insurance companies. The book value of Salesforce was currently reported as 63.72. The company has Price/Earnings To Growth (PEG) ratio of 0.98. Salesforce recorded earning per share (EPS) of 7.48. The entity last dividend was issued on the 18th of December 2025. The firm had 4:1 split on the 18th of April 2013. Considering the 90-day investment horizon the next projected press release will be in about 6 days. Check out Salesforce Basic Forecasting Models to cross-verify your projections.Salesforce Related Hype Analysis
Having access to credible news sources related to Salesforce's direct competition is more important than ever and may enhance your ability to predict Salesforce's future price movements. Getting to know how Salesforce's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Salesforce may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MSTSX | Morningstar Unconstrained Allocation | 0.00 | 0 per month | 0.44 | 0.08 | 0.93 | (1.09) | 12.28 | |
| RRTLX | T Rowe Price | 0.00 | 0 per month | 0.15 | 0.04 | 0.57 | (0.49) | 3.30 | |
| ORMP | Oramed Pharmaceuticals | 0.00 | 9 per month | 1.90 | 0.19 | 6.98 | (3.49) | 17.67 | |
| GSFP | Goldman Sachs | 0.13 | 4 per month | 0.33 | 0.20 | 1.27 | (1.10) | 3.10 | |
| VTARX | Virtus Dfa 2040 | 0.00 | 0 per month | 0.00 | 0.08 | 0.86 | (0.83) | 17.94 | |
| MCTA | Charming Medical Limited | 0.00 | 9 per month | 0.00 | 0.16 | 6.97 | (2.09) | 60.38 | |
| GBDC | Golub Capital BDC | 0.03 | 10 per month | 0.00 | (0.16) | 1.37 | (1.82) | 4.99 | |
| GSBD | Goldman Sachs BDC | 0.06 | 7 per month | 0.00 | (0.11) | 1.73 | (1.93) | 4.38 | |
| BCSF | Bain Capital Specialty | (0.09) | 9 per month | 0.00 | (0.12) | 1.93 | (2.13) | 6.32 | |
| BGAFX | Baron Global Advantage | 0.00 | 0 per month | 1.06 | 0.0005 | 1.75 | (2.41) | 12.37 |
Salesforce Additional Predictive Modules
Most predictive techniques to examine Salesforce price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Salesforce using various technical indicators. When you analyze Salesforce charts, please remember that the event formation may indicate an entry point for a short seller, and look at 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 |
About Salesforce Predictive Indicators
The successful prediction of Salesforce stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Salesforce, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Salesforce based on analysis of Salesforce hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Salesforce's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Salesforce's related companies. | 2025 | 2026 (projected) | Dividend Yield | 0.004208 | 0.003741 | Price To Sales Ratio | 9.98 | 10.51 |
Building efficient market-beating portfolios requires time, education, and a lot of computing power!
The Portfolio Prophet is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.
Try AI Portfolio ProphetCheck out Salesforce Basic Forecasting Models to cross-verify your projections. To learn how to invest in Salesforce Stock, please use our How to Invest in Salesforce guide.You can also try the Portfolio Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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.