Snowflake Stock Price Prediction
| SNOW Stock | USD 174.80 1.10 0.63% |
Oversold Vs Overbought
66
Oversold | Overbought |
EPS Estimate Current Year 0.81 | EPS Estimate Next Year 1.14 | Wall Street Target Price 180.3754 | EPS Estimate Current Quarter 0.1519 | Quarterly Revenue Growth 0.289 |
Using Snowflake hype-based prediction, you can estimate the value of Snowflake from the perspective of Snowflake response to recently generated media hype and the effects of current headlines on its competitors.
Snowflake Hype to Price Pattern
Investor biases related to Snowflake's public news can be used to forecast risks associated with an investment in Snowflake. The trend in average sentiment can be used to explain how an investor holding Snowflake can time the market purely based on public headlines and social activities around Snowflake. 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 Snowflake's market sentiment to its price can help taders to make decisions based on the overall investors consensus about Snowflake.
The fear of missing out, i.e., FOMO, can cause potential investors in Snowflake to buy its stock at a price that has no basis in reality. In that case, they are not buying Snowflake 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.
Snowflake after-hype prediction price | USD 168.6 |
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.
Snowflake |
Snowflake After-Hype Price Prediction Density Analysis
As far as predicting the price of Snowflake 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 Snowflake 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 Snowflake, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Snowflake Estimiated After-Hype Price Volatility
In the context of predicting Snowflake's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Snowflake's historical news coverage. Snowflake's after-hype downside and upside margins for the prediction period are 164.06 and 192.28, respectively. We have considered Snowflake'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
Snowflake is very steady at this time. Analysis and calculation of next after-hype price of Snowflake is based on 3 months time horizon.
Snowflake Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Snowflake is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Snowflake 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 Snowflake, 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 |
0.82 | 4.54 | 6.20 | 0.37 | 7 Events / Month | 6 Events / Month | In about 7 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
174.80 | 168.60 | 3.55 |
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Snowflake Hype Timeline
Snowflake is at this time traded for 174.80. The entity has historical hype elasticity of -6.2, and average elasticity to hype of competition of -0.37. Snowflake is estimated to decline in value after the next headline, with the price expected to drop to 168.6. The average volatility of media hype impact on the company price is about 60.05%. The price decrease on the next news is expected to be -3.55%, whereas the daily expected return is at this time at 0.82%. The volatility of related hype on Snowflake is about 1004.42%, with the expected price after the next announcement by competition of 174.43. About 61.0% of the company shares are owned by institutional investors. The company recorded a loss per share of 3.39. Snowflake had not issued any dividends in recent years. The entity had a split on the 12th of December 2013. Given the investment horizon of 90 days the next estimated press release will be in about 7 days. Check out Snowflake Basic Forecasting Models to cross-verify your projections.Snowflake Related Hype Analysis
Having access to credible news sources related to Snowflake's direct competition is more important than ever and may enhance your ability to predict Snowflake's future price movements. Getting to know how Snowflake'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 Snowflake may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| ALKT | Alkami Technology | 0.75 | 9 per month | 2.36 | 0.07 | 5.03 | (4.89) | 12.66 | |
| ASUR | Asure Software | 0.51 | 7 per month | 2.92 | 0.03 | 5.27 | (3.76) | 19.48 | |
| BLKB | Blackbaud | (3.29) | 10 per month | 2.98 | (0.03) | 2.93 | (2.52) | 18.39 | |
| ENFN | Enfusion | 0.09 | 9 per month | 1.49 | 0.10 | 3.93 | (2.90) | 10.11 | |
| DUOT | Duos Technologies Group | 0.06 | 5 per month | 4.19 | 0.22 | 12.96 | (7.49) | 26.55 | |
| ADEA | ADEIA P | 0.05 | 9 per month | 3.79 | (0.03) | 3.84 | (3.43) | 28.06 | |
| PYCR | Paycor HCM | (0.07) | 9 per month | 1.40 | 0.12 | 3.12 | (2.96) | 9.64 | |
| APPF | Appfolio | 1.38 | 11 per month | 2.15 | 0.02 | 2.86 | (2.27) | 15.04 | |
| AGYS | Agilysys | (3.90) | 11 per month | 2.86 | 0.08 | 4.17 | (5.24) | 14.47 | |
| DHX | DHI Group | (0.10) | 10 per month | 0.00 | (0.06) | 5.29 | (6.29) | 16.26 |
Snowflake Additional Predictive Modules
Most predictive techniques to examine Snowflake price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Snowflake using various technical indicators. When you analyze Snowflake 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 Snowflake Predictive Indicators
The successful prediction of Snowflake 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 Snowflake, 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 Snowflake based on analysis of Snowflake hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Snowflake's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Snowflake's related companies. | 2021 | 2022 | 2023 | 2024 (projected) | Payables Turnover | 34.11 | 30.31 | 17.37 | 19.3 | Days Of Inventory On Hand | 1.0E-6 | 34.54 | 39.72 | 32.2 |
Story Coverage note for Snowflake
The number of cover stories for Snowflake depends on current market conditions and Snowflake's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Snowflake 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 Snowflake'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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Snowflake Short Properties
Snowflake's future price predictability will typically decrease when Snowflake's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Snowflake often depends not only on the future outlook of the potential Snowflake'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. Snowflake's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 328 M | |
| Cash And Short Term Investments | 3.8 B |
Additional Tools for Snowflake Stock Analysis
When running Snowflake's price analysis, check to measure Snowflake'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 Snowflake is operating at the current time. Most of Snowflake's value examination focuses on studying past and present price action to predict the probability of Snowflake's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Snowflake's price. Additionally, you may evaluate how the addition of Snowflake to your portfolios can decrease your overall portfolio volatility.