Salesforce Stock Price Prediction
| CRM Stock | USD 335.78 10.08 3.09% |
Oversold Vs Overbought
0
Oversold | Overbought |
Quarterly Earnings Growth 0.148 | EPS Estimate Current Year 8.2 | EPS Estimate Next Year 9.57 | Wall Street Target Price 333.9147 | EPS Estimate Current Quarter 2.36 |
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.
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.
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 334.31 |
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 |
Salesforce After-Hype Price Prediction 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 332.61 and 336.01, 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 outperform 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 Prediction 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 |
0.39 | 1.71 | 1.47 | 0.86 | 8 Events / Month | 8 Events / Month | In about 8 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
335.78 | 334.31 | 0.44 |
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Salesforce Hype Timeline
On the 22nd of November Salesforce is traded for 335.78. The entity has historical hype elasticity of -1.47, and average elasticity to hype of competition of 0.86. Salesforce is projected to decline in value after the next headline, with the price expected to drop to 334.31. The average volatility of media hype impact on the company price is about 45.24%. The price depreciation on the next news is expected to be -0.44%, whereas the daily expected return is currently at 0.39%. The volatility of related hype on Salesforce is about 77.8%, with the expected price after the next announcement by competition of 336.64. About 82.0% of the company shares are held by institutions such as insurance companies. The company has Price/Earnings To Growth (PEG) ratio of 2.25. Salesforce recorded earning per share (EPS) of 5.76. The entity last dividend was issued on the 18th of September 2024. 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 8 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 | |||
| ZM | Zoom Video Communications | 0.02 | 10 per month | 1.26 | 0.16 | 2.93 | (2.72) | 16.91 | |
| AI | C3 Ai Inc | 0.06 | 8 per month | 2.43 | 0.1 | 6.75 | (5.04) | 13.55 | |
| SHOP | Shopify | (6.21) | 7 per month | 1.71 | 0.14 | 4.91 | (2.68) | 26.26 | |
| WDAY | Workday | 6.88 | 10 per month | 1.35 | 0.04 | 2.45 | (1.91) | 16.94 | |
| INTU | Intuit Inc | 9.00 | 9 per month | 0.00 | (0.07) | 1.93 | (2.37) | 9.88 | |
| SNOW | Snowflake | 4.35 | 8 per month | 3.59 | (0.03) | 3.85 | (3.44) | 17.08 | |
| TEAM | Atlassian Corp Plc | 3.27 | 10 per month | 1.22 | 0.20 | 3.90 | (2.40) | 22.97 | |
| ADSK | Autodesk | 4.51 | 8 per month | 0.93 | 0.18 | 2.14 | (1.74) | 6.06 | |
| NOW | ServiceNow | (2.74) | 8 per month | 1.22 | 0.13 | 3.04 | (2.24) | 8.12 | |
| TTD | Trade Desk | 2.84 | 9 per month | 1.78 | 0.11 | 3.36 | (3.12) | 12.33 |
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. | 2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 2.38 | 2.15 | 2.64 | 2.51 | Days Of Inventory On Hand | 75.54 | 77.54 | 69.79 | 63.59 |
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 | 984 M | |
| Cash And Short Term Investments | 14.2 B |
Check 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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
Is Application Software space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Salesforce. If investors know Salesforce will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Salesforce listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth 0.148 | Dividend Share 0.8 | Earnings Share 5.76 | Revenue Per Share 37.632 | Quarterly Revenue Growth 0.084 |
The market value of Salesforce is measured differently than its book value, which is the value of Salesforce that is recorded on the company's balance sheet. Investors also form their own opinion of Salesforce's value that differs from its market value or its book value, called intrinsic value, which is Salesforce's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Salesforce's market value can be influenced by many factors that don't directly affect Salesforce's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Salesforce's value and its price as these two are different measures arrived at by different means. Investors typically determine if Salesforce is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Salesforce's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.