Shopify (Brazil) Technical Analysis
| S2HO34 Stock | BRL 4.93 0.66 11.81% |
As of the 8th of February, Shopify has the Risk Adjusted Performance of (0.15), coefficient of variation of (496.37), and Variance of 10.19. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Shopify, as well as the relationship between them.
Shopify Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Shopify, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ShopifyShopify |
Shopify '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 Shopify'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 Shopify.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Shopify on November 10, 2025 and sell it all today you would earn a total of 0.00 from holding Shopify or generate 0.0% return on investment in Shopify over 90 days. Shopify is related to or competes with Alaska Air, United Rentals, and Live Nation. Shopify Inc., a commerce company, provides a commerce platform and services in Canada, the United States, the United Kin... More
Shopify 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 Shopify'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 Shopify upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.23) | |||
| Maximum Drawdown | 12.97 | |||
| Value At Risk | (6.16) | |||
| Potential Upside | 4.32 |
Shopify Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Shopify's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Shopify's standard deviation. In reality, there are many statistical measures that can use Shopify historical prices to predict the future Shopify's volatility.| Risk Adjusted Performance | (0.15) | |||
| Jensen Alpha | (0.70) | |||
| Total Risk Alpha | (0.97) | |||
| Treynor Ratio | (1.11) |
Shopify February 8, 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 | (0.15) | |||
| Market Risk Adjusted Performance | (1.10) | |||
| Mean Deviation | 2.36 | |||
| Coefficient Of Variation | (496.37) | |||
| Standard Deviation | 3.19 | |||
| Variance | 10.19 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0.70) | |||
| Total Risk Alpha | (0.97) | |||
| Treynor Ratio | (1.11) | |||
| Maximum Drawdown | 12.97 | |||
| Value At Risk | (6.16) | |||
| Potential Upside | 4.32 | |||
| Skewness | (0.84) | |||
| Kurtosis | 1.43 |
Shopify Backtested Returns
Shopify owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.17, which indicates the firm had a -0.17 % return per unit of risk over the last 3 months. Shopify exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Shopify's Variance of 10.19, coefficient of variation of (496.37), and Risk Adjusted Performance of (0.15) to confirm the risk estimate we provide. The entity has a beta of 0.59, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Shopify's returns are expected to increase less than the market. However, during the bear market, the loss of holding Shopify is expected to be smaller as well. At this point, Shopify has a negative expected return of -0.53%. Please make sure to validate Shopify's maximum drawdown, potential upside, kurtosis, as well as the relationship between the value at risk and skewness , to decide if Shopify performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.81 |
Excellent reverse predictability
Shopify has excellent reverse predictability. Overlapping area represents the amount of predictability between Shopify time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th 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 Shopify price movement. The serial correlation of -0.81 indicates that around 81.0% of current Shopify price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.81 | |
| Spearman Rank Test | -0.84 | |
| Residual Average | 0.0 | |
| Price Variance | 0.74 |
Shopify 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.
Shopify Technical Analysis
The output start index for this execution was one with a total number of output elements of sixty. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of Shopify volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Shopify 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 Shopify 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 Shopify based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Shopify price pattern first instead of the macroeconomic environment surrounding Shopify. By analyzing Shopify'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 Shopify'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 Shopify specific price patterns or momentum indicators. Please read more on our technical analysis page.
Shopify February 8, 2026 Technical Indicators
Most technical analysis of Shopify 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 Shopify from various momentum indicators to cycle indicators. When you analyze Shopify 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 | (0.15) | |||
| Market Risk Adjusted Performance | (1.10) | |||
| Mean Deviation | 2.36 | |||
| Coefficient Of Variation | (496.37) | |||
| Standard Deviation | 3.19 | |||
| Variance | 10.19 | |||
| Information Ratio | (0.23) | |||
| Jensen Alpha | (0.70) | |||
| Total Risk Alpha | (0.97) | |||
| Treynor Ratio | (1.11) | |||
| Maximum Drawdown | 12.97 | |||
| Value At Risk | (6.16) | |||
| Potential Upside | 4.32 | |||
| Skewness | (0.84) | |||
| Kurtosis | 1.43 |
Shopify February 8, 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 Shopify 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 | 0.04 | ||
| Daily Balance Of Power | (3.30) | ||
| Rate Of Daily Change | 0.88 | ||
| Day Median Price | 4.89 | ||
| Day Typical Price | 4.90 | ||
| Price Action Indicator | (0.29) | ||
| Market Facilitation Index | 0.20 |
Complementary Tools for Shopify Stock analysis
When running Shopify's price analysis, check to measure Shopify'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 Shopify is operating at the current time. Most of Shopify's value examination focuses on studying past and present price action to predict the probability of Shopify's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Shopify's price. Additionally, you may evaluate how the addition of Shopify to your portfolios can decrease your overall portfolio volatility.
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