Snowflake Stock Forecast - Simple Regression
| SNOW Stock | USD 209.69 1.44 0.68% |
The Simple Regression forecasted value of Snowflake on the next trading day is expected to be 202.12 with a mean absolute deviation of 6.76 and the sum of the absolute errors of 412.12. Snowflake Stock Forecast is based on your current time horizon.
At this time the relative strength indicator of Snowflake's share price is below 20 . This usually implies that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
EPS Estimate Current Year 1.2142 | EPS Estimate Next Year 1.6329 | Wall Street Target Price 282.9049 | EPS Estimate Current Quarter 0.3112 | Quarterly Revenue Growth 0.287 |
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. We also analyze overall investor sentiment towards Snowflake using Snowflake's stock options and short interest. It helps to benchmark the overall future attitude of investors towards Snowflake using crowd psychology based on the activity and movement of Snowflake's stock price.
Snowflake Short Interest
An investor who is long Snowflake may also wish to track short interest. As short interest increases, investors should be becoming more worried about Snowflake and may potentially protect profits, hedge Snowflake with its derivative instruments, or be ready for some potential downside.
200 Day MA 214.7475 | Short Percent 0.0375 | Short Ratio 2.09 | Shares Short Prior Month 12.3 M | 50 Day MA 232.747 |
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.
Snowflake Implied Volatility | 0.52 |
Snowflake's implied volatility exposes the market's sentiment of Snowflake stock's possible movements over time. However, it does not forecast the overall direction of its price. In a nutshell, if Snowflake'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 Snowflake stock will not fluctuate a lot when Snowflake's options are near their expiration.
The Simple Regression forecasted value of Snowflake on the next trading day is expected to be 202.12 with a mean absolute deviation of 6.76 and the sum of the absolute errors of 412.12. Snowflake after-hype prediction price | USD 211.92 |
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 | Build AI portfolio with Snowflake Stock |
Prediction based on Rule 16 of the current Snowflake contract
Based on the Rule 16, the options market is currently suggesting that Snowflake will have an average daily up or down price movement of about 0.0325% per day over the life of the 2026-04-17 option contract. With Snowflake trading at USD 209.69, that is roughly USD 0.0681 . If you think that the market is fully incorporating Snowflake's daily price movement you should consider acquiring Snowflake options at the current volatility level of 0.52%. But if you have an opposite viewpoint you should avoid it and even consider selling them.
Open Interest Against 2026-04-17 Snowflake Option Contracts
Although open interest is a measure utilized in the options markets, it could be used to forecast Snowflake'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 Snowflake's options reflects these daily shifts, investors could use the patterns of these changes to develop long and short-term trading strategies for Snowflake 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 Snowflake's open interest, investors have to compare it to Snowflake'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 Snowflake 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 Snowflake. 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.
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 |
Snowflake Simple Regression Price Forecast For the 24th of January
Given 90 days horizon, the Simple Regression forecasted value of Snowflake on the next trading day is expected to be 202.12 with a mean absolute deviation of 6.76, mean absolute percentage error of 81.82, and the sum of the absolute errors of 412.12.Please note that although there have been many attempts to predict Snowflake Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Snowflake's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Snowflake Stock Forecast Pattern
| Backtest Snowflake | Snowflake Price Prediction | Buy or Sell Advice |
Snowflake Forecasted Value
In the context of forecasting Snowflake'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. Snowflake's downside and upside margins for the forecasting period are 199.57 and 204.66, respectively. We have considered Snowflake'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 Simple Regression forecasting method's relative quality and the estimations of the prediction error of Snowflake stock data series using in forecasting. Note that when a statistical model is used to represent Snowflake 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 | 122.515 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 6.756 |
| MAPE | Mean absolute percentage error | 0.0287 |
| SAE | Sum of the absolute errors | 412.1163 |
Predictive Modules for Snowflake
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Snowflake. 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.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 209.35 and 214.49, 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 |
0.36 | 2.55 | 0.82 | 1.07 | 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 | ||
209.69 | 211.92 | 0.37 |
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Snowflake Hype Timeline
Snowflake is at this time traded for 209.69. The entity has historical hype elasticity of 0.82, and average elasticity to hype of competition of -1.07. Snowflake is estimated to increase in value after the next headline, with the price projected to jump to 211.92 or above. The average volatility of media hype impact on the company the price is about 112.33%. The price increase on the next news is projected to be 0.37%, whereas the daily expected return is at this time at -0.36%. The volatility of related hype on Snowflake is about 86.15%, with the expected price after the next announcement by competition of 208.62. The company reported the previous year's revenue of 3.63 B. Net Loss for the year was (1.29 B) with profit before overhead, payroll, taxes, and interest of 2.95 B. Given the investment horizon of 90 days the next estimated press release will be in about 7 days. Check out Historical Fundamental Analysis of Snowflake 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 | |||
| MSTR | MicroStrategy Incorporated | 0.45 | 6 per month | 0.00 | (0.22) | 5.78 | (7.55) | 15.68 | |
| CRWV | CoreWeave Class A | 0.28 | 7 per month | 0.00 | (0.09) | 8.05 | (8.30) | 28.57 | |
| CDNS | Cadence Design Systems | (0.37) | 11 per month | 0.00 | (0.07) | 2.67 | (3.06) | 9.36 | |
| SNPS | Synopsys | (9.38) | 8 per month | 2.11 | 0.05 | 3.78 | (3.17) | 9.95 | |
| ADSK | Autodesk | (0.78) | 9 per month | 0.00 | (0.16) | 1.68 | (3.45) | 8.22 | |
| WDAY | Workday | (7.52) | 8 per month | 0.00 | (0.21) | 3.03 | (4.02) | 11.69 | |
| NET | Cloudflare | (14.75) | 11 per month | 0.00 | (0.12) | 3.32 | (4.20) | 21.66 | |
| MSI | Motorola Solutions | 2.86 | 7 per month | 0.00 | (0.20) | 1.52 | (2.19) | 6.99 | |
| GLW | Corning Incorporated | 1.88 | 7 per month | 2.68 | 0.04 | 3.60 | (3.29) | 12.43 | |
| DDOG | Datadog | (2.27) | 8 per month | 0.00 | (0.07) | 4.43 | (3.52) | 32.62 |
Other Forecasting Options for Snowflake
For every potential investor in Snowflake, whether a beginner or expert, Snowflake's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Snowflake Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Snowflake. Basic forecasting techniques help filter out the noise by identifying Snowflake's price trends.Snowflake 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 Snowflake stock to make a market-neutral strategy. Peer analysis of Snowflake could also be used in its relative valuation, which is a method of valuing Snowflake by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Snowflake Market Strength Events
Market strength indicators help investors to evaluate how Snowflake stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Snowflake shares will generate the highest return on investment. By undertsting and applying Snowflake stock market strength indicators, traders can identify Snowflake entry and exit signals to maximize returns.
| Accumulation Distribution | 3.0E-4 | |||
| Daily Balance Of Power | (20.57) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 209.66 | |||
| Day Typical Price | 209.67 | |||
| Market Facilitation Index | 0.07 | |||
| Price Action Indicator | (0.69) | |||
| Period Momentum Indicator | (1.44) |
Snowflake Risk Indicators
The analysis of Snowflake'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 Snowflake's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting snowflake 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 | 1.9 | |||
| Standard Deviation | 2.6 | |||
| Variance | 6.77 |
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 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 | 332.7 M | |
| Cash And Short Term Investments | 4.6 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.