Salesforce Stock Forward View
| CRM Stock | USD 210.81 1.48 0.70% |
Salesforce Stock outlook is based on your current time horizon. Although Salesforce's naive historical forecasting may sometimes provide an important future outlook for the firm, we suggest always cross-verifying it against solid analysis of Salesforce's systematic risk associated with finding meaningful patterns of Salesforce fundamentals over time.
As of now, the relative strength indicator of Salesforce's share price is approaching 31 suggesting that the stock is in nutural position, most likellhy at or near its support level. The main point of RSI analysis is to track how fast people are buying or selling Salesforce, making its price go up or down. Momentum 31
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 Relative Strength Index
The Naive Prediction forecasted value of Salesforce on the next trading day is expected to be 218.65 with a mean absolute deviation of 5.52 and the sum of the absolute errors of 336.85.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 | 0.47 |
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 Naive Prediction forecasted value of Salesforce on the next trading day is expected to be 218.65 with a mean absolute deviation of 5.52 and the sum of the absolute errors of 336.85. Salesforce after-hype prediction price | USD 210.81 |
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.
Salesforce | Build AI portfolio with Salesforce Stock |
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 0.0294% per day over the life of the 2026-04-17 option contract. With Salesforce trading at USD 210.81, that is roughly USD 0.0619 . 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 0.47%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 Salesforce Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Salesforce's spot prices because the number of available contracts in the market changes daily, and new contracts can be created or liquidated at will. Since open interest in Salesforce's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Salesforce stock based on available contracts left at the end of a trading day.
Please note that to derive more accurate forecasting about market movement from the current Salesforce's open interest, investors have to compare it to Salesforce's spot prices. As Ford's stock price increases, high open interest indicates that money is entering the market, and the market is strongly bullish. Conversely, if the price of Salesforce is decreasing and there is high open interest, that is a sign that the bearish trend will continue, and investors may react by taking short positions in Salesforce. So, decreasing or low open interest during a bull market indicates that investors are becoming uncertain of the depth of the bullish trend, and a reversal in sentiment will likely follow.
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 |
Salesforce Cash Forecast
Forecasting financial indicators like cash flow involves analysts applying various statistical methods, techniques, and algorithms. These tools reveal hidden trends within the Salesforce's financial statements to estimate their effects on upcoming price movements.
Cash | First Reported 2003-01-31 | Previous Quarter 10.4 B | Current Value 9 B | Quarterly Volatility 3.1 B |
Salesforce Naive Prediction Price Forecast For the 3rd of February
Given 90 days horizon, the Naive Prediction forecasted value of Salesforce on the next trading day is expected to be 218.65 with a mean absolute deviation of 5.52, mean absolute percentage error of 41.60, and the sum of the absolute errors of 336.85.Please note that although there have been many attempts to predict Salesforce Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Salesforce's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Salesforce Stock Forecast Pattern
| Backtest Salesforce | Salesforce Price Prediction | Research Analysis |
Salesforce Forecasted Value
In the context of forecasting Salesforce's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Salesforce's downside and upside margins for the forecasting period are 216.47 and 220.83, respectively. We have considered Salesforce's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Salesforce stock data series using in forecasting. Note that when a statistical model is used to represent Salesforce stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 121.8385 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 5.5221 |
| MAPE | Mean absolute percentage error | 0.0228 |
| SAE | Sum of the absolute errors | 336.8467 |
Predictive Modules for Salesforce
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Salesforce. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.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 208.63 and 212.99, 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 |
0.28 | 2.18 | 0.95 | 0.22 | 6 Events / Month | 7 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
210.81 | 210.81 | 0.00 |
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Salesforce Hype Timeline
On the 2nd of February Salesforce is traded for 210.81. The entity has historical hype elasticity of -0.95, and average elasticity to hype of competition of 0.22. Salesforce is projected not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is about 63.93%. The immediate return on the next news is projected to be very small, whereas the daily expected return is currently at -0.28%. %. The volatility of related hype on Salesforce is about 281.65%, with the expected price after the next announcement by competition of 211.03. 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 1.13. Salesforce recorded earning per share (EPS) of 7.43. 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 Historical Fundamental Analysis of Salesforce 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 | |||
| SHOP | Shopify | 1.27 | 6 per month | 0.00 | (0.15) | 5.06 | (6.55) | 14.37 | |
| SAP | SAP SE ADR | 0.41 | 8 per month | 0.00 | (0.18) | 2.29 | (2.86) | 19.03 | |
| UBER | Uber Technologies | (0.71) | 8 per month | 0.00 | (0.14) | 2.46 | (3.82) | 10.23 | |
| APP | Applovin Corp | 3.47 | 8 per month | 0.00 | (0.09) | 5.06 | (7.61) | 24.49 | |
| INTU | Intuit Inc | (10.07) | 7 per month | 0.00 | (0.25) | 2.38 | (4.75) | 10.97 | |
| MU | Micron Technology | 12.84 | 7 per month | 3.07 | 0.24 | 8.93 | (5.56) | 19.80 | |
| NOW | ServiceNow | (4.03) | 6 per month | 0.00 | (0.29) | 2.43 | (3.33) | 14.07 | |
| IBM | International Business Machines | (3.30) | 7 per month | 1.83 | (0.01) | 2.59 | (2.89) | 7.30 | |
| CSCO | Cisco Systems | 0.03 | 7 per month | 1.13 | 0.08 | 2.96 | (2.00) | 8.38 | |
| LRCX | Lam Research Corp | 7.83 | 7 per month | 2.66 | 0.19 | 6.27 | (5.01) | 14.59 |
Other Forecasting Options for Salesforce
For every potential investor in Salesforce, whether a beginner or expert, Salesforce's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Salesforce Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Salesforce. Basic forecasting techniques help filter out the noise by identifying Salesforce's price trends.Salesforce Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Salesforce stock to make a market-neutral strategy. Peer analysis of Salesforce could also be used in its relative valuation, which is a method of valuing Salesforce by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Salesforce Market Strength Events
Market strength indicators help investors to evaluate how Salesforce stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Salesforce shares will generate the highest return on investment. By undertsting and applying Salesforce stock market strength indicators, traders can identify Salesforce entry and exit signals to maximize returns.
| Accumulation Distribution | 255454.0 | |||
| Daily Balance Of Power | (0.21) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 213.35 | |||
| Day Typical Price | 212.5 | |||
| Price Action Indicator | (3.28) | |||
| Period Momentum Indicator | (1.48) | |||
| Relative Strength Index | 31.57 |
Salesforce Risk Indicators
The analysis of Salesforce's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Salesforce's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting salesforce stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 1.54 | |||
| Standard Deviation | 2.15 | |||
| Variance | 4.63 |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Salesforce
The number of cover stories for Salesforce depends on current market conditions and Salesforce's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Salesforce is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Salesforce's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Salesforce Short Properties
Salesforce's future price predictability will typically decrease when Salesforce's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Salesforce often depends not only on the future outlook of the potential Salesforce's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Salesforce's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 974 M | |
| Cash And Short Term Investments | 14 B |
Check out Historical Fundamental Analysis of Salesforce 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 Risk-Return Analysis module to view associations between returns expected from investment and the risk you assume.
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 7.43 | 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.