Snowflake (Germany) Market Value
| 5Q5 Stock | EUR 155.26 3.40 2.14% |
| Symbol | Snowflake |
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.
| 01/02/2023 |
| 12/22/2024 |
If you would invest 0.00 in Snowflake on January 2, 2023 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 720 days. Snowflake is related to or competes with Salesforce, ServiceNow, Uber Technologies, Shopify, Workday, and Trade Desk. Snowflake Inc. provides 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.
| Downside Deviation | 2.32 | |||
| Information Ratio | 0.1484 | |||
| Maximum Drawdown | 39.34 | |||
| Value At Risk | (3.01) | |||
| Potential Upside | 5.77 |
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 | 0.1312 | |||
| Jensen Alpha | 0.7163 | |||
| Total Risk Alpha | 0.6 | |||
| Sortino Ratio | 0.3071 | |||
| Treynor Ratio | 0.8978 |
Snowflake Backtested Returns
Snowflake appears to be very steady, given 3 months investment horizon. Snowflake owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.15, which indicates the firm had a 0.15% return per unit of risk over the last 3 months. By inspecting Snowflake's technical indicators, you can evaluate if the expected return of 0.73% is justified by implied risk. Please review Snowflake's Risk Adjusted Performance of 0.1312, semi deviation of 1.9, and Coefficient Of Variation of 644.81 to confirm if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Snowflake holds a performance score of 11. The entity has a beta of 0.82, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Snowflake's returns are expected to increase less than the market. However, during the bear market, the loss of holding Snowflake is expected to be smaller as well. Please check Snowflake's downside deviation, standard deviation, total risk alpha, as well as the relationship between the coefficient of variation and jensen alpha , to make a quick decision on whether Snowflake's existing price patterns will revert.
Auto-correlation | -0.05 |
Very weak reverse predictability
Snowflake has very weak reverse predictability. Overlapping area represents the amount of predictability between Snowflake time series from 2nd of January 2023 to 28th of December 2023 and 28th of December 2023 to 22nd of December 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 -0.05 indicates that only as little as 5.0% of current Snowflake price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 1006.19 |
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
Additional Information and Resources on Investing in Snowflake Stock
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 detail on how to invest in Snowflake Stock please use our How to Invest in Snowflake guide.You can also try the Commodity Channel module to use Commodity Channel Index to analyze current equity momentum.
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.