Snowflake (Germany) Technical Analysis
| 5Q5 Stock | EUR 136.80 4.20 3.17% |
As of the 24th of February, Snowflake has the Risk Adjusted Performance of (0.14), coefficient of variation of (529.29), and Variance of 12.82. Snowflake technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the company's future prices. Please validate Snowflake standard deviation, information ratio, maximum drawdown, as well as the relationship between the variance and treynor ratio to decide if Snowflake is priced more or less accurately, providing market reflects its prevalent price of 136.8 per share.
Snowflake Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Snowflake, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SnowflakeSnowflake |
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.
| 11/26/2025 |
| 02/24/2026 |
If you would invest 0.00 in Snowflake on November 26, 2025 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 90 days. Snowflake is related to or competes with NVIDIA CORP, NVIDIA, NVIDIA, APPLE INC, Apple, Apple, and Alphabet. 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.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 19.07 | |||
| Value At Risk | (6.41) | |||
| Potential Upside | 4.98 |
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 | (0.14) | |||
| Jensen Alpha | (0.76) | |||
| Total Risk Alpha | (1.11) | |||
| Treynor Ratio | (0.90) |
Snowflake February 24, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.14) | |||
| Market Risk Adjusted Performance | (0.89) | |||
| Mean Deviation | 2.44 | |||
| Coefficient Of Variation | (529.29) | |||
| Standard Deviation | 3.58 | |||
| Variance | 12.82 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.76) | |||
| Total Risk Alpha | (1.11) | |||
| Treynor Ratio | (0.90) | |||
| Maximum Drawdown | 19.07 | |||
| Value At Risk | (6.41) | |||
| Potential Upside | 4.98 | |||
| Skewness | (1.18) | |||
| Kurtosis | 3.31 |
Snowflake Backtested Returns
Snowflake owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.19, which indicates the firm had a -0.19 % return per unit of risk over the last 3 months. Snowflake exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Snowflake's Coefficient Of Variation of (529.29), variance of 12.82, and Risk Adjusted Performance of (0.14) to confirm the risk estimate we provide. The entity has a beta of 0.76, 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. At this point, Snowflake has a negative expected return of -0.68%. Please make sure to validate Snowflake's total risk alpha, maximum drawdown, and the relationship between the jensen alpha and treynor ratio , to decide if Snowflake performance from the past will be repeated at some point in the near future.
Auto-correlation | 0.54 |
Modest predictability
Snowflake has modest predictability. Overlapping area represents the amount of predictability between Snowflake time series from 26th of November 2025 to 10th of January 2026 and 10th of January 2026 to 24th of February 2026. 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 0.54 indicates that about 54.0% of current Snowflake price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.54 | |
| Spearman Rank Test | 0.44 | |
| Residual Average | 0.0 | |
| Price Variance | 225.82 |
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.
Snowflake Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Snowflake across different markets.
About Snowflake Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of Snowflake on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of Snowflake based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Snowflake price pattern first instead of the macroeconomic environment surrounding Snowflake. By analyzing Snowflake's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Snowflake's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Snowflake specific price patterns or momentum indicators. Please read more on our technical analysis page.
Snowflake February 24, 2026 Technical Indicators
Most technical analysis of Snowflake help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for Snowflake from various momentum indicators to cycle indicators. When you analyze Snowflake charts, please remember that the event formation may indicate an entry point for a short seller, and look at different 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 |
| Risk Adjusted Performance | (0.14) | |||
| Market Risk Adjusted Performance | (0.89) | |||
| Mean Deviation | 2.44 | |||
| Coefficient Of Variation | (529.29) | |||
| Standard Deviation | 3.58 | |||
| Variance | 12.82 | |||
| Information Ratio | (0.22) | |||
| Jensen Alpha | (0.76) | |||
| Total Risk Alpha | (1.11) | |||
| Treynor Ratio | (0.90) | |||
| Maximum Drawdown | 19.07 | |||
| Value At Risk | (6.41) | |||
| Potential Upside | 4.98 | |||
| Skewness | (1.18) | |||
| Kurtosis | 3.31 |
Snowflake February 24, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as Snowflake stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 33.32 | ||
| Daily Balance Of Power | 0.97 | ||
| Rate Of Daily Change | 1.03 | ||
| Day Median Price | 134.64 | ||
| Day Typical Price | 135.36 | ||
| Price Action Indicator | 4.26 | ||
| Market Facilitation Index | 0 |
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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