Snowflake Stock Market Value
| SNOW Stock | USD 164.37 3.42 2.12% |
| Symbol | Snowflake |
Snowflake Price To Book Ratio
Is Snowflake's industry 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 Snowflake. If investors know Snowflake 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 Snowflake listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Earnings Share (2.54) | Revenue Per Share 8.556 | Quarterly Revenue Growth 0.315 | Return On Assets (0.09) | Return On Equity (0.16) |
The market value of Snowflake is measured differently than its book value, which is the value of Snowflake that is recorded on the company's balance sheet. Investors also form their own opinion of Snowflake's value that differs from its market value or its book value, called intrinsic value, which is Snowflake'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 Snowflake's market value can be influenced by many factors that don't directly affect Snowflake'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 Snowflake's value and its price as these two are different measures arrived at by different means. Investors typically determine if Snowflake is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Snowflake'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.
Snowflake 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Snowflake's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Snowflake.
| 04/16/2024 |
| 05/16/2024 |
If you would invest 0.00 in Snowflake on April 16, 2024 and sell it all today you would earn a total of 0.00 from holding Snowflake or generate 0.0% return on investment in Snowflake over 30 days. Snowflake is related to or competes with C3 Ai, Shopify, Workday, Intuit, Zoom Video, Salesforce, and Trade Desk. Snowflake Inc. provides a cloud-based data platform in the United States and internationally More
Snowflake Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Snowflake's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Snowflake upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.20) | |||
| Maximum Drawdown | 22.49 | |||
| Value At Risk | (4.44) | |||
| Potential Upside | 3.69 |
Snowflake Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Snowflake's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Snowflake's standard deviation. In reality, there are many statistical measures that can use Snowflake historical prices to predict the future Snowflake's volatility.| Risk Adjusted Performance | (0.1) | |||
| Jensen Alpha | (0.50) | |||
| Total Risk Alpha | (0.91) | |||
| Treynor Ratio | 2.01 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Snowflake's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Snowflake Backtested Returns
Snowflake owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.16, which indicates the firm had a -0.16% return per unit of risk over the last 3 months. Snowflake exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Snowflake's Risk Adjusted Performance of (0.1), coefficient of variation of (593.06), and Variance of 9.22 to confirm the risk estimate we provide. The entity has a beta of -0.26, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Snowflake are expected to decrease at a much lower rate. During the bear market, Snowflake is likely to outperform the market. Snowflake has an expected return of -0.48%. Please make sure to validate Snowflake jensen alpha and daily balance of power , to decide if Snowflake performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.15 |
Insignificant predictability
Snowflake has insignificant predictability. Overlapping area represents the amount of predictability between Snowflake time series from 16th of April 2024 to 1st of May 2024 and 1st of May 2024 to 16th of May 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Snowflake price movement. The serial correlation of 0.15 indicates that less than 15.0% of current Snowflake price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.15 | |
| Spearman Rank Test | 0.37 | |
| Residual Average | 0.0 | |
| Price Variance | 8.57 |
Snowflake lagged returns against current returns
Autocorrelation, which is Snowflake stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Snowflake's stock expected returns. We can calculate the autocorrelation of Snowflake returns to help us make a trade decision. For example, suppose you find that Snowflake has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Snowflake regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Snowflake stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Snowflake stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Snowflake stock over time.
Current vs Lagged Prices |
| Timeline |
Snowflake Lagged Returns
When evaluating Snowflake's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Snowflake stock have on its future price. Snowflake autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Snowflake autocorrelation shows the relationship between Snowflake stock current value and its past values and can show if there is a momentum factor associated with investing in Snowflake.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
When determining whether Snowflake is a strong investment it is important to analyze Snowflake's competitive position within its industry, examining market share, product or service uniqueness, and competitive advantages. Beyond financials and market position, potential investors should also consider broader economic conditions, industry trends, and any regulatory or geopolitical factors that may impact Snowflake's future performance. For an informed investment choice regarding Snowflake Stock, refer to the following important reports:Check out Snowflake Correlation, Snowflake Volatility and Snowflake Alpha and Beta module to complement your research on Snowflake. For more information on how to buy Snowflake Stock please use our How to Invest in Snowflake guide.You can also try the Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.
Complementary 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.
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Snowflake technical stock analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, stock market cycles, or different charting patterns.